WMS This is a description of your Web Map Server. WFS WMS GEOSERVER

NONE NONE text/xml image/png application/atom+xml application/json;type=utfgrid application/pdf application/rss+xml application/vnd.google-earth.kml+xml application/vnd.google-earth.kml+xml;mode=networklink application/vnd.google-earth.kmz image/geotiff image/geotiff8 image/gif image/jpeg image/png; mode=8bit image/svg+xml image/tiff image/tiff8 image/vnd.jpeg-png text/html; subtype=openlayers text/html; subtype=openlayers2 text/html; subtype=openlayers3 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml; subtype=gml/3.1.1 text/html application/json XML INIMAGE BLANK JSON This is a description of your Web Map Server. EPSG:4326 EPSG:3785 EPSG:3857 EPSG:900913 EPSG:32647 EPSG:32736 CRS:84 -180.0 800881.869759693 -90.0 4970899.05182033 geonode:A2_6111_Zostera_noltii_beds_in_littoral_muddy EUNIS classification_A2_6111_Zostera_noltii_beds_in_littoral_muddy Mid and upper shore wave-sheltered muddy fine sand or sandy mud with narrow-leafed eel grass [Zostera noltii] at an abundance of frequent or above. It should be noted that the presence of [Z. noltii] as scattered fronds does not change what is otherwise a muddy sand biotope. Exactly what determines the distribution of [Z. noltii] is not entirely clear. It is often found in small lagoons and pools, remaining permanently submerged, and on sediment shores where the muddiness of the sediment retains water and stops the roots from drying out. An anoxic layer is usually present below 5 cm sediment depth. The infaunal community is characterised by the polychaetes [Scoloplos armiger, Pygospio elegans] and [Arenicola marina], oligochaetes, the spire shell [Hydrobia ulvae], and the bivalves [Cerastoderma edule] and [Macoma balthica]. The green algae [Enteromorpha] spp. may be present on the sediment surface. The characterising species lists below give an indication both of the epibiota and of the sediment infauna that may be present in intertidal seagrass beds. The biotope is described in more detail in the British National Vegetation Classification (see the chapter on saltmarsh communities in Rodwell, 2000). Situation: [Z. noltii] is most frequently found on lower estuary and sheltered coastal muddy sands, together with biotopes such as unit A2.242. Temporal variation: There may be seasonal variation in the area covered by intertidal seagrass beds, as plants die back during cold temperatures in winter. Intertidal seagrass beds may also be subject to heavy grazing by geese, which can reduce the extent of the plant cover significantly. The rhizomes of the plants will remain in place within the sediment in both situations. A2.6111_Zostera_noltii_beds_in_littoral_muddy_sand features EPSG:3765 CRS:84 13.603150835895985 13.607728811312931 45.154733788487555 45.163051963002516 other other text/xml other other other other geonode:A3_124_Infralittoral_cobbles_pebbles_and_hard EUNIS classification_A3_124_Infralittoral_cobbles_pebbles_and_hard_rock_ Wave-exposed seasonally mobile substrata (pebbles, cobbles) dominated by dense stands of the brown seaweed [Desmarestia aculeata] and/or [Desmarestia ligulata]. Infralittoral pebbles and cobbles that are scoured through mobility during storms, but become stable in the summer allowing the growth of such algae as [Desmarestia] spp. Filamentous red seaweeds such [as Bonnemaisonia asparagoides] and [Brongniartella byssoides] are usually present. Stunted individuals of the kelp such as [Laminaria hyperborea] and [Laminaria saccharina] may be present where bedrock is available. A variety of foliose red seaweeds such as [Cryptopleura ramosa, Chondrus crispus], [Plocamium cartilagineum, Hypoglossum hypoglossoides] and [Nitophyllum punctatum] may on occasion be present underneath the kelp canopy. Other red algae including [Corallina officinalis], [Rhodomela confervoides] and coralline crusts including [Lithothamnion] spp. may be present as well as well as the foliose brown seaweed [Dictyota dichotoma] and the green [Enteromorpha intestinalis]. Due to the nature of this biotope the faunal component is very impoverished though the gastropod [Gibbula cineraria] can be found among the cobbles. Situation: Often a narrow zone on mixed substrata below a stable zone of kelp on bedrock. Where seasonally mobile substrata affect nearby bedrock this biotope may occur in place of kelp forest. A3.124_Infralittoral_cobbles_pebbles_and_hard_rock features EPSG:3765 CRS:84 13.579428305721752 13.606200334982704 45.14882651456113 45.19441553646206 other other text/xml other other other other geonode:A3_23_Infralittoral_algae_moderately_exposed_ EUNIS classification_A3_23_Infralittoral_algae_moderately_exposed _to_wave action This community is characterised by the presence of many photophilic algae covering hard bottoms in moderately exposed areas. A3.23_Infralittoral_algae_moderately_exposed_to_wave_action features EPSG:3765 CRS:84 13.567093190037449 13.606639634958228 45.13954629165206 45.20018345442757 other other text/xml other other other other geonode:A5_2_Sublittoral_sand EUNIS classification_A5_2_Sublittoral_sand Clean medium to fine sands or non-cohesive slightly muddy sands on open coasts, offshore or in estuaries and marine inlets. Such habitats are often subject to a degree of wave action or tidal currents which restrict the silt and clay content to less than 15%. This habitat is characterised by a range of taxa including polychaetes, bivalve molluscs and amphipod crustacea. A5.2_Sublittoral_sand features EPSG:3765 CRS:84 13.562375142355574 13.607881150624474 45.139451933064514 45.20092614570405 other other text/xml other other other other geonode:A5_53131_Ass__with_Cymodocea_nodosa_on_well_s EUNIS classification_A5_53131_Ass__with_Cymodocea_nodosa_on_well_sorted_fine_sands Expanses of clean or muddy fine sand and sandy mud in shallow water and on the lower shore (typically to about 5 m depth) can have dense stands of [Zostera marina/angustifolia] [Note: the taxonomic status of [Z. angustifolia] is currently under consideration]. In A5.5331 the community composition may be dominated by these [Zostera] species and therefore characterised by the associated biota. Other biota present can be closely related to that of areas of sediment not containing [Zostera marina], for example, [Laminaria saccharina], [Chorda filum] and infaunal species such as [Ensis] spp. and [Echinocardium cordatum] (e.g. Bamber 1993). From the available data it would appear that a number of sub-biotopes may be found within this biotope dependant on the nature of the substratum and it should be noted that sparse beds of [Zostera marina] may be more readily characterised by their infaunal community. For example, coarse marine sands with seagrass have associated communities similar to A5.133, A5.137 or A5.135 whilst muddy sands may have infaunal populations related to A5.241, A5.243 and A5.242. Muddy examples of this biotope may show similarities to A5.332, A5.343, A5.342 or A5.351. At present the data does not permit a detailed description of these sub-biotopes but it is likely that with further study the relationships between these assemblages will be clarified. Furthermore, whilst the [Zostera] biotope may be considered an epibiotic overlay of established sedimentary communities it is likely that the presence of [Zostera] will modify the underlying community to some extent. For example, beds of this biotope in the south-west of Britain may contain conspicuous and distinctive assemblages of Lusitanian fauna such as [Laomedea angulata], [Hippocampus] spp. and Stauromedusae. A5.53131_Ass._with_Cymodocea_nodosa_on_well_sorted_fine_sands features EPSG:3765 CRS:84 13.595438363724574 13.598894062490668 45.170921071079626 45.172532378746325 other other text/xml other other other other geonode:ASE_2019_Emilia_Romagna_IT_0 The Accumulation, Stability, Erosion Index 2012-2018 has been processed by ARPAE, the Regional Agency for Prevention, Environment and Energy of Emilia-Romagna, (IT). The analysis concern the entire Emilia-Romagna coastline between the Po di Goro river mouth and Cattolica (the Tavollo river mouth). ASE defines the change in volume both in the emerged and submerged beach, whose limit is considered up to the line of breakwaters, if present, or the 2.5-3 m bathymetric depth. The indicator describes the shoreline in terms of tendence to erosion, accumulation, or stability of the beach, in the temporal interval 2012-2018 (are considered losses and gains of more than 30 m3/m). The indicator describes the coastline trend to erosion of each segments defined as “coastal cells”: the coastal cell is a portion of Emilia-Romagna shoreline characterized by the same coastal dynamics and processes. ASE_2019_Emilia_Romagna_IT_ features EPSG:32632 CRS:84 12.201320250594195 12.806169475756635 43.96784288832878 44.84528325124957 other other text/xml other other other other geonode:ASPE_2012_2018_Emilia_Romagna_IT_ No abstract The Accumulation, Stability, Precarious balance, Erosion Index 2012-2018 has been processed by ARPAE, the Regional Agency for Prevention, Environment and Energy of Emilia-Romagna, (IT). The analysis concern the entire Emilia-Romagna coastline between the Po di Goro river mouth and Cattolica (the Tavollo river mouth). ASPE defines the condition of the regional coastal area as it would appear if beach-feeding works were not carried out, also considering the conditions of defence stuctures if present. The indicator describes the shoreline in terms of tendence to erosion, accumulation, stability or precarious balance (portion of coast that does not show significant losses or accumulations of sand and which was subjected to interventions like feedings or hard defences) of the beach. Are considered losses and gains of more than 30 m3/m in the interval 2012-2018. The value is assigned to each “coastal cell” in wich the Emilia-Romagna shoreline has been classified in order to support coastal management. ASPE_2012_2018_Emilia_Romagna_IT_ features EPSG:32632 CRS:84 12.201320250594195 12.806169475756635 43.96784288832878 44.84528325124957 other other text/xml other other other other geonode:Archeological_areas_points Data related to underwater archeological sites in Istria county according to Spatial Plan of the Istria County (2016.) features Archeological_areas_points EPSG:3765 CRS:84 13.410032187969916 14.241687142619716 44.71533058239084 45.52032782639388 other other text/xml other other other other geonode:Archeological_areas_polygons Data related to underwater archeological sites in Istria county according to Spatial Plan of the Istria county (2016.) Archeological_areas_polygons features EPSG:3765 CRS:84 13.463886923079858 14.223062296971506 44.716358552822804 45.530148039197165 other other text/xml other other other other geonode:Base_mare Bathymetry acquired and processed by the National Research Council (CNR-ISMAR) and furnished to the Emilia-Romagna region to be included the Coast and Marine information system Base_mare features EPSG:32633 CRS:84 12.186524755479075 14.836736987313381 42.20597364598805 45.812016933475434 other other text/xml other other other other geonode:Beach_Erosion The data represent coastal sectors where sand volumes loss have been detected, from the emerged and underwater beaches, in the period 2006-2012. The analysis has been carried out by ARPAe that performs topo-bathymetric surveys on behalf of Emilia-Romagna region. Such areas don't necessary corresponds to the areas vulnerable to coastal erosion phenomena. Beach_Erosion features EPSG:25833 CRS:84 12.255942050391106 12.725812638773055 43.96532786805196 44.81202564439618 other other text/xml other other other other geonode:Beach_average_height_2012_14 Classification of Emilia-Romagna beaches based on 'Beach average height 2012-2014' . Considered the 'emerged beach free from permanent infrastructures' (representing the space free for the damping of the waves). The processing has been done along transepts normal to the shoreline and spaced 10 meters apart; along them heights have been extracted from the DTM_Lidar 2012 at a distance of 1 m apart, on them calculated average height. The considered domin is regional coastline from Cattolica (RN) to the Po di Volano river mouth (108 km). The variable is expressed in 4 classes ( class 1: average height (Av-h) > 2m; class2: 1,5<Av-h<2 m; class3: 1 <Av-h<1,5 m; class3: Av-h<1 ). The data has been processed by SGSS-RER Beach_average_height_2012_14 features EPSG:5659 CRS:84 12.201025524790541 12.801583888411015 43.967981885034554 44.81941607779824 other other text/xml other other other other geonode:Beach_feeding_1972_2018_Emilia_Romagna_IT_ The Beach feeding Index 1972-2018 has been processed by AGSS-RER. The analysis concern the entire Emilia-Romagna coastline between the Po di Goro river mouth and Cattolica (the Tavollo river mouth). The indicator describes the volumes of sand recharged in the coastal systems from 1972 to 2018 in regional beaches to increase their height and width, to improve the storm protection of the hinterland and to provide adequate space for tourist activities. Sources of materials can be external the coastal system (off-shore sites, quarries, construction sites, excavations for enlargements of harbour areas, or sorted material derived from beach cleaning) or internal (harbour and river mouths dredgings, lithoral accumulations). The value is assigned to each “coastal cell” in wich the Emilia-Romagna shoreline has been classified in order to support coastal management. Beach_feeding_1972_2018_Emilia_Romagna_IT_ features EPSG:32632 CRS:84 12.201320250594195 12.806390472507285 43.967835728831275 44.84528325124957 other other text/xml other other other other geonode:Beach_height_average_2019_Emilia_Romagna_IT_ The Beach average height (2019), has been processed by AGSS-RER. The analysis concern the entire Emilia-Romagna coastline between the Po di Goro river mouth and Cattolica (the Tavollo river mouth). The classification consider the emerged beach as the sector free from permanent structures, and so the space free for the waves damping. The parameter calculation has been fulfilled along transepts perpendicular to the shoreline and 10 m spaced. After the extraction of the height of 1 m spaced points along the transect, the average height has been calculated for each one. The heigts are derived from 2019 DTM model (Lidar dataset acquired from Autorità di Bacino Distrettuale del Fiume Po). Then the classes of average height are projected on the shoreline. The layer is expressed in 4 height classes, the other categories in the legend indicate zones where the beach is absent: "Artificial" class is characterized by the presence of harbour/river mouth areas, "Protected" by the influence of defence structures against the beach erosion. Beach_height_average_2019_Emilia_Romagna_IT_ features EPSG:32632 CRS:84 12.200995923057295 12.803950090778772 43.96779900052406 44.81961026717136 other other text/xml other other other other geonode:Beach_height_closure_2019_Emilia_Romagna_IT_ The Beach closure height (2019), has been processed by AGSS-RER. The analysis concern the entire Emilia-Romagna coastline between the Po di Goro river mouth and Cattolica (the Tavollo river mouth). The classification consider the emerged beach as the sector free from permanent structures, and so the space free for the waves damping. The parameter calculation has been fulfilled along transepts perpendicular to the shoreline and 10 m spaced by the extraction of the inner point height, wich is derived from 2019 DTM model (Lidar dataset acquired from Autorità di Bacino Distrettuale del Fiume Po). Then the classes of height are projected on the shoreline. The layer is expressed in 4 height classes, the other categories in the legend indicate zones where the beach is absent: "Artificial" class is characterized by the presence of harbour/river mouth areas, "Protected" by the influence of defence structures against the beach erosion. Beach_height_closure_2019_Emilia_Romagna_IT_ features EPSG:32632 CRS:84 12.200995923057295 12.803950090778772 43.96779900052406 44.81961026717136 other other text/xml other other other other geonode:Beach_nourishment_RER1984_2018_bis Classification of Emilia-Romagna beaches based on the sand movimentation (nourishment or extraction). The classification is based on data provided by technical services operating on the coast, , which collect information on nourishment or extraction of sand, with reference to the management cells (BD SICELL). Where the beach advance, sometimes the sand is extracted and transferred in areas at risk. Nourishment are also provided by using offshore or land sand deposits . The data has been processed by SGSS-RER Beach_nourishment_RER1984_2018_bis features EPSG:5659 CRS:84 12.201179137381558 12.80648551825928 43.967824877503105 44.84532254089611 other other text/xml other other other other geonode:Beach_width2014_RER1 The Beach Width 2014 , has been processed by SGSS-RER. Considered the emerged beach free from permanent infrastructures (representing the space free for the damping of the waves). The processing has been done along transepts normal to the shoreline and spaced 10 meters apart. The "emerged free beach" analyzed is the one between Cattolica (RN) and the mouth of the Po di Volano. The variable is expressed in 5 width classes Beach_width2014_RER1 features EPSG:25832 CRS:84 12.2010255008657 12.801575276369446 43.96796510464872 44.81939232782562 other other text/xml other other other other geonode:Beach_width_RER_2019 The Beach Width 2019 , has been processed by AGSS-RER. Considered the emerged beach free from permanent infrastructures (representing the space free for the damping of the waves). The processing has been done along transepts normal to the shoreline and spaced 10 meters apart. The "emerged free beach" analyzed is the one between Cattolica (RN) and the mouth of the Po di Volano. The variable is expressed in 5 width classes Other classes Fictitious and Hard protections indicates zones where beach is absent Beach_width_RER_2019 features EPSG:32632 CRS:84 12.200995923057269 12.803950090778741 43.96779900052407 44.81961026717128 other other text/xml other other other other geonode:CORINE_2012 In 1985 the Corine programme was initiated in the European Union. Corine means 'coordination of information on the environment' and it was a prototype project working on many different environmental issues. The Corine databases and several of its programmes have been taken over by the EEA. One of these is an inventory of land cover in 44 classes, and presented as a cartographic product, at a scale of 1:100 000. CORINE_2012 features EPSG:3765 CRS:84 13.147462634683505 19.51781474881638 42.13464138077083 46.55497768168859 other other text/xml other other other other geonode:C_3_5_1_5__Sub_mediterranean_and_Epimediterra T2.2.HR3000003 Vrsarski otoci-Terrestrial habitat C.3.5.1.5.-Sub-mediterranean and Epimediterranean dry grasslands-Ass. Narcisso tazettae-Asphodeletum microcarpi features EPSG:3765 CRS:84 13.568379860845372 13.597620101445672 45.16296356654556 45.19861573423433 other other text/xml other other other other geonode:C_3_6_1_3__Eumediterranean_and_submediterrane T2.2.-HR3000003 Vrsarski otoci-Terrestrial habitat C.3.6.1.3.-Eumediterranean and submediterranean rocky ground pastures and dry grasslands-Ass.Oryzopsetum milliaceae features EPSG:3765 CRS:84 13.59453716707916 13.594902682688671 45.14876051990413 45.14917130503704 other other text/xml other other other other geonode:Coastal_defence_works_1956 Coastal defence works mapping of Abruzzo Region up to 1956 Coastal_defence_works_1956 features EPSG:4326 CRS:84 13.9130518646249 14.723031207311 42.1008353973503 42.8942732218044 other other text/xml other other other other geonode:Coastal_defence_works_1976 Coastal defence works mapping of Abruzzo Region up to 1976 Coastal_defence_works_1976 features EPSG:4326 CRS:84 13.9130518646249 14.723031207311 42.1008353973503 42.8942732218044 other other text/xml other other other other geonode:Coastal_defence_works_19760 No abstract provided Coastal_defence_works_1976 features EPSG:4326 CRS:84 13.9130518646249 448209.6456 42.1085579129446 4725543.4465 other other text/xml other other other other geonode:Coastal_defence_works_1997 Coastal defence works mapping of Abruzzo Region up to 1997 features Coastal_defence_works_1997 EPSG:4326 CRS:84 13.9130518646249 14.7789112960513 42.0702634673705 42.8942732218044 other other text/xml other other other other geonode:Coastal_defence_works_2018 Coastal defence works mapping of Abruzzo Region up to 2018 Coastal_defence_works_2018 features EPSG:4326 CRS:84 13.9130518646249 14.7803894296528 42.0680617679157 42.8942732218044 other other text/xml other other other other geonode:Coastal_ridge_2019_Emilia_Romagna_IT_ The Coastal Ridge 2019 layer has been processed by AGSS-RER. The analysis concern the entire Emilia-Romagna coastline between the Po di Goro river mouth and Cattolica (the Tavollo river mouth). The coastal ridge has been defined as the first element behind the shoreline having 2 m height (natural or artificial). It can be monitored with Lidar surveying. This value han been mapped and projected on the shoreline and classified in 5 classes, from “excellent conditions” to “absent”. Coastal_ridge_2019_Emilia_Romagna_IT_ features EPSG:32632 CRS:84 12.200995923057269 12.805642201565576 43.96779900052407 44.845320642663786 other other text/xml other other other other geonode:Coastal_water According to the United Nations Convention on the Law of the Sea, a nation's internal waters include waters on the side of the baseline of a nation's territorial waters that is facing toward the land, except in archipelagic states. It includes waterways such as rivers and canals, and sometimes the water within small bays. Coastal_water features EPSG:3765 CRS:84 13.464129081560433 18.650892918569493 42.35720640082696 45.56025129966888 other other text/xml other other other other geonode:Constraints_ER Actual sea uses in the Emilia-Romagna coastal area - constraints to define Allocated Zones for Aquaculture Constraints_ER features EPSG:4326 CRS:84 12.2482334440796 13.4652780000001 43.983099 44.843423 other other text/xml other other other other geonode:Counties_Croatia The counties of Croatia are the primary administrative subdivisions of the Republic of Croatia. Croatia is divided into 20 counties and the capital city of Zagreb, which has the authority and legal status of both a county and a city. Counties_Croatia features EPSG:3765 CRS:84 13.433451847203965 19.51795520048746 42.342197570369926 46.55509807810333 other other text/xml other other other other geonode:Cultural_Heritage Underwater cultural heritage polygon locations in Coastal zone of Montenegro. Cultural_Heritage features EPSG:32634 CRS:84 18.675302595881778 18.696619572641612 42.50163135113213 42.51734769099532 other other text/xml other other other other geonode:Defence_structures_2019_SL_Emilia_Romagna_IT_ The Coastal defence classification (2019) layer has been processed by AGSS-RER. The analysis concern the entire Emilia-Romagna coastline between the Po di Goro river mouth and Cattolica (the Tavollo river mouth). The shoreline has been classified in 7 classes, one for each type of defence structure against the beach erosion, plus class 0 “natural coastline”. Defence_structures_2019_SL_Emilia_Romagna_IT_ features EPSG:32632 CRS:84 12.200995923057269 12.805642201565576 43.96779900052407 44.845320642663786 other other text/xml other other other other geonode:Dinamica_Spiaggia_2006_2018 The Shapefile describes the shoreline evolution trend, in terms of erosion and accrection , along Emilia-Romagna coast. The two shorelines, dated 2006 and 2018, have been surveyed by Arpae (RER) using GPS tecnique. The analysis was carried out by the Servizio Geologico Sismico e dei Suoli of Emilia-Romagna Region bech erosion coastal defence features coastal dynamics EPSG:25832 CRS:84 12.201014518020962 12.801637351084663 43.9679422146586 44.819506879040325 other other text/xml other other other other geonode:Distance_node_from_ports_ER The distance from ports was estimated in km and mapped in order to be used as criterion within the Spatial Multi-Criteria Evaluation process for the aquaculture suitability evaluation. The grid was extracted from the pixel centroid of the satellite Sea Surface Temperature (SST) data at a spatial resolution of 1km2 (CMEMS). GeoTIFF WCS Distance_node_from_ports_ER EPSG:4326 CRS:84 12.2750009633117 12.925000966688321 43.975001003299 44.791667674208085 other other text/xml other other other other geonode:E_8_1_1_Ass_Fraxino_orni_Quercetum_ilicis_E_9 T2.2.-HR3000003 Vrsarski otoci-Terrestrial habitats E.8.1.1.Ass.Fraxino orni-Quercetum ilicis-E.9.2.4.-Plantations Pinus halepensis Forests dominated by Quercus ilex. Formations of the supra-Mediterranean levels, often mixed with deciduous oaks, Acer spp. or Ostrya carpinifolia-plantations with Pinus halepensis. E.8.1.1.Ass.Fraxino_orni_Quercetum_ilicis_E.9.2.4._Plantations_Pinus_halepensis features EPSG:3765 CRS:84 13.581263099422632 13.584954565264583 45.141562991090915 45.142617299116516 other other text/xml other other other other geonode:E_8_1_1__Ass__Fraxino_orni_Quercetum_ilicis T2.2.-HR3000003 Vrsarski otoci - Terrestrial habitat E.8.1.1.-Ass. Fraxino orni-Quercetum ilicis Forests dominated by Quercus ilex. Formations of the supra-Mediterranean levels, often mixed with deciduous oaks, Acer spp. or Ostrya carpinifolia. E.8.1.1._Ass._Fraxino_orni_Quercetum_ilicis features EPSG:3765 CRS:84 13.56807089873264 13.60592723303122 45.146408092982526 45.1989625551382 other other text/xml other other other other geonode:E_9_2_4__Plantations_of_Pinus_halepensis T2.2-HR3000003 Vrsarski otoci-Terrestrial habitat E.9.2.4.-Plantations of Pinus halepensis E.9.2.4._Plantations_of_Pinus_halepensis features EPSG:3765 CRS:84 13.593719648898164 13.59521791366814 45.1488246562246 45.15019210307569 other other text/xml other other other other geonode:Emissions_from_industry_GK This layer represents waste water discharges of industrial plants. The data include the name and the name of the plant and the operator of the plant, information on whether the environmental permit has already been issued, data on possible permitted maximum quantities of waste water discharge, data on the actual annual discharge of waste water and information on where the waste water is separated. Data are collected and processed on the basis of subordinate legislation, which imposes an annual reporting on operators i.e. annual operational monitoring. Emissions_from_industry_GK features EPSG:3912 CRS:84 13.569294193453878 13.844048963965626 45.450955828942035 45.589346835412236 other other text/xml other other other other geonode:Extent_enriched_area_0_1gCm_2d_10 No abstract provided Extent_enriched_area_0.1gCm_2d_1 WCS GeoTIFF EPSG:4326 CRS:84 12.2750009633117 12.925000966688321 43.975001003299 44.791667674208085 other other text/xml other other other other geonode:Extent_enriched_area_0_1gCm_2d_12 The organic enrichment on the seabed of surface sediment because of the presence of a shellfish farm was estimated. GeoTIFF WCS Extent_enriched_area_0.1gCm_2d_1 EPSG:4326 CRS:84 12.2750009633117 12.925000966688321 43.975001003299 44.791667674208085 other other text/xml other other other other geonode:F_3_1_1_1__Areas_of_gravel_beaches_covered_wi T2.2.-Hr3000003 Vrsarski otoci-Terrestrial habitat F.3.1.1.1.-Areas of gravel beaches covered with halophytic vegetation (Ass. Euphorbio pineae-Glaucium flavi) On single beaches there develops the Euphorbio pineae-Glaucietum flavi association, belonging to the class Cakiletea maritimae. The habitats of this community are often found in coves and bays, which prevent the waves from dissipating the loose substrate. The community has several known localities, where its stands cover relatively small surfaces, in the northern and central parts of the Croatian Adriatic features EPSG:3765 CRS:84 13.603491217728264 13.604602895072865 45.1572756656713 45.15832933825625 other other text/xml other other other other geonode:F_4_1_1_1__Areas_of_stony_coast_covered_with_ T2.2-HR3000003 Vrsarski otoci-Terrestrial habitat F.4.1.1.1.-Areas of stony coast covered with halophytic vegetation (Ass-Plantagini-Limonietum cancellati The most widespread is the vegetation of maritime rocks that belongs to the Crithmo-Limonietea class. Plants in such habitats are exposed to strong mechanical action by wind and waves, large fluctuation in temperature, scarcity of fertile soil, and high concentration of sodium chloride. Because of such extreme conditions, a very small number of species develops within the vegetation of maritime rocks. The best-represented association is Plantagini holostei-Limonietum cancellati. F.4.1.1.1._Areas_of_stony_coast_covered_with_halophytic_vegetation_Ass_Plantagini_Limonietum_cancellati features EPSG:3765 CRS:84 13.567745251457438 13.606218431291705 45.14106857084069 45.19903028363149 other other text/xml other other other other geonode:F_4_2_1__Biocenosis_of_supralittoral_rock T2.2-HR3000003 Vrsarski otoci-Terrestrial habitat F.4.2.1.-Biocenosis of supralittoral rock Pools with variable salinity (mediolittoral enclave) F.4.2.1._Biocenosis_of_supralittoral_rock features EPSG:3765 CRS:84 13.578206790672809 13.599891879021229 45.15719989077101 45.17528818868967 other other text/xml other other other other geonode:Fishing_net__kunjkara_Arca_noe Spatial distribution of fishing activity - dredge-Arca noe Fishing_net__kunjkara_Arca_noe features EPSG:3765 CRS:84 12.972822171165381 18.65434674152947 41.58036538828322 45.62382532154567 other other text/xml other other other other geonode:Fishing_net_migavica Spatial distribution of fishing activities-fishing net - targeting Spicara smaris Fishing_net_migavica features EPSG:3765 CRS:84 12.972822171165381 18.65434674152947 41.58036538828322 45.62382532154567 other other text/xml other other other other geonode:Fishing_net_plivarica_oliznica Spatial distribution of fishing activities-fishing net-targeting Atherina sp. Fishing_net_plivarica_oliznica features EPSG:3765 CRS:84 12.972822171165381 18.65434674152947 41.58036538828322 45.62382532154567 other other text/xml other other other other geonode:Fishing_net_plivarica_srdelara Spatial distribution of fishing activities-purse seine-targeting Sardina pilchardus features Fishing_net_plivarica_srdelara EPSG:3765 CRS:84 12.972822171165381 18.65434674152947 41.58036538828322 45.62382532154567 other other text/xml other other other other geonode:Fishing_net_plivarica_tunolovka Spatial distribution of fishing activities-purse seine-targeting-Thunus thynnus Fishing_net_plivarica_tunolovka features EPSG:3765 CRS:84 12.972822171101006 18.65434674153249 41.580365388280484 45.62382532147769 other other text/xml other other other other geonode:Fishing_net_stajacica_bukvara_prostica_psa Spatial distribution of fishing activity - gill net-targeting Boops boops Fishing_net_stajacica_bukvara_prostica_psa features EPSG:3765 CRS:84 12.972822171101006 18.65434674153249 41.580365388280484 45.62382532147769 other other text/xml other other other other geonode:Fishing_net_stajacica_gavunara Spatial distribution of fishing activity - gill net - targeting Atherina sp. Fishing_net_stajacica_gavunara features EPSG:3765 CRS:84 12.972822171165381 18.65434674152947 41.58036538828322 45.62382532154567 other other text/xml other other other other geonode:Fishing_net_stajacica_girarica Spatial distribution of fishing activity - fishing net - Spicara smaris Fishing_net_stajacica_girarica features EPSG:3765 CRS:84 12.972822171165381 18.65434674152947 41.58036538828322 45.62382532154567 other other text/xml other other other other geonode:Fishing_net_stajacica_girarica0 Spatial distribution of fishing activity - gill net-targeting Spicara smaris Fishing_net_stajacica_girarica features EPSG:3765 CRS:84 12.972822171165381 18.65434674152947 41.58036538828322 45.62382532154567 other other text/xml other other other other geonode:Fishing_net_stajacica_jastozara Spatial distribution of fishing activities - gill net-targeting Palinurus elephus Fishing_net_stajacica_jastozara features EPSG:3765 CRS:84 12.972822171165381 18.65434674152947 41.58036538828322 45.62382532154567 other other text/xml other other other other geonode:Fishing_net_stajacica_listarica Spatial distribution of fishing activity - trammel net-targeting Solea solea features Fishing_net_stajacica_listarica EPSG:3765 CRS:84 12.972822171165381 18.65434674152947 41.58036538828331 45.62382532154567 other other text/xml other other other other geonode:Fishing_net_stajacica_salpara Spatial distribution of fishing activity - trammel net-targeting Sarpa salpa Fishing_net_stajacica_salpara features EPSG:3765 CRS:84 12.972822171165381 18.65434674152947 41.58036538828322 45.62382532154567 other other text/xml other other other other geonode:Fishing_net_stajacica_sipara Spatial distribution of fishing activity - trammel net-targeting Sepia officinalis features Fishing_net_stajacica_sipara EPSG:3765 CRS:84 12.972822171165381 18.65434674152947 41.58036538828322 45.62382532154567 other other text/xml other other other other geonode:Fishing_zones The fishing sea of Croatia is administratively divided into 11 fishing zones and 37 fishing subzones. features Fishing_zones EPSG:3765 CRS:84 12.972822171101006 18.65434674153249 41.580365388280484 45.62382532147769 other other text/xml other other other other geonode:Flood_Zone_ratio_2019 The Flood zone 2019 layer has been processed by AGSS-RER. The analysis concern the entire Emilia-Romagna coastline between the Po di Goro river mouth and Cattolica (the Tavollo river mouth). The indicator represents the ratio of coastal area that can be flooded during storm events of the recurrence interval of 100 years (hectares) to the shoreline lenght, for each of the regional municipalities in the coastal area features Flood_Zone_ratio_2019 EPSG:32632 CRS:84 12.200995923057269 12.805642201565576 43.96779900052407 44.845320642663786 other other text/xml other other other other geonode:Flood__2 Data about floods vulnerability in Coastal zone of Montenegro. Flood__2 features EPSG:32634 CRS:84 18.436719997388547 19.390469486311204 41.8327370336374 42.51916949705535 other other text/xml other other other other geonode:Flood_zone_2019 The Flood zone 2019 layer has been processed by AGSS-RER. The analysis concern the entire Emilia-Romagna coastline between the Po di Goro river mouth and Cattolica (the Tavollo river mouth). The indicator represents the coastal area that can be flooded during storm events of the recurrence interval of 100 years (hectares) Flood_zone_2019 features EPSG:3035 CRS:84 12.198289452620783 12.793888334336176 43.96635630462521 44.863879148902555 other other text/xml other other other other geonode:Fresh_waters Fresh waters in Croatia according to Croatian habitat map Fresh_waters features EPSG:3765 CRS:84 13.613780322987727 18.216361549568138 42.6538701135887 45.500911321567735 other other text/xml other other other other geonode:G_3_1_1_4__Association_with_Zostera_noltii_in0 T2.2-HR3000003 Vrsarski otoci marine habitat-G.3.1.1.4.-Association with Zostera noltii in euryhaline and eurythermal environment G.3.1.1.4._Association_with_Zostera_noltii_in_euryhaline_and_eurythermal_environment features EPSG:3765 CRS:84 13.603407900891533 13.607367773713543 45.16187028719776 45.163051963002516 other other text/xml other other other other geonode:G_3_2_2_1__Association_with_Cymodocea_nodosa0 T2.2.-HR3000003 Vrsarski otoci Marine habitat-G.3.2.2.1.-Association with Cymodocea nodosa features G.3.2.2.1._Association_with_Cymodocea_nodosa EPSG:3765 CRS:84 13.567009445697877 13.59763740484302 45.16187209170788 45.19913207433855 other other text/xml other other other other geonode:G_3_2_2_1__Association_with_Cymodocea_nodosa_1 T2-2--HR3000003 Vrsarski otoci Marine habitats: G.3.2.2.1.-Association with Cymodocea nodosa -G.3.6.1.-Biocenosis of infralittoral algae -G.3.2.-Infralittoral fine sands with more or less mud -G.3.8.6.2.-Invasive species-Caulerpa cylindracea features EPSG:3765 CRS:84 13.593064177125411 13.595201393975126 45.183665330830436 45.18601292334902 other other text/xml other other other other geonode:G_3_2_2_1__Association_with_Cymodocea_nodosa_2 T2.2.-Vrsarski otoci Marine habitats: -G.3.2.2.1.-Association with Cymodocea nodosa -G.3.8.6.2.-Invasive species-Caulerpa cylindraceae features G.3.2.2.1._Association_with_Cymodocea_nodosa_G.3.8.6.2._Invasive_species_Caulerpa_cylindraceae EPSG:3765 CRS:84 13.578755296434027 13.601551294639378 45.16100183720305 45.19738723935583 other other text/xml other other other other geonode:G_3_2_3_4__Association_with_Cymodocea_nodosa0 T2.2-HR3000003 Vrsarski otoci Marine habitat: G.3.2.3.4.-Association with Cymodocea nodosa features G.3.2.3.4._Association_with_Cymodocea_nodosa EPSG:3765 CRS:84 13.582287561993336 13.60982760450671 45.14210020832109 45.18150093769699 other other text/xml other other other other geonode:G_3_2_3_4__Association_with_Cymodocea_nodosa_0 T2.2.-HR3000003 Vrsarski otoci Marine habitats: -G.3.2.3.4.-Association with Cymodocea nodosa -G.3.6.1.-Biocenosis of infralittoral algae features G.3.2.3.4._Association_with_Cymodocea_nodosa_G.3.6.1._Biocenosis_of_infralittoral_algae EPSG:3765 CRS:84 13.606661002532988 13.610792212195932 45.15758667593822 45.159448705686074 other other text/xml other other other other geonode:G_3_2_3_4__Association_with_Cymodocea_nodsa_G1 T2.2.-HR3000003 Vrsarski otoci Marine habitats: -G.3.2.3.4.-Association with Cymodocea nodsa -G.3.6.1.-Biocenosis of infralittoral algae -G.3.8.6.2.-Invasiv species-Caulerpa cylindracea features EPSG:3765 CRS:84 13.597683233373587 13.60366972037127 45.17891455225929 45.182794076273886 other other text/xml other other other other geonode:G_3_2_3_4__Association_with_Cymodocea_nodsa_G2 T2.2.-HR3000003 Vrsarski otoci Marine habitats: -G.3.2.3.4.-Association with Cymodocea nodsa -G.3.8.6.2.-Invasive species-Caulerpa cylindracea. G.3.2.3.4._Association_with_Cymodocea_nodsa_G.3.8.6.2._Invasive_species_caulerpa_cylindracea features EPSG:3765 CRS:84 13.583648759683502 13.60865513578963 45.15316085513606 45.184637372846446 other other text/xml other other other other geonode:G_3_2_3_5__Association_with_Zostera_noltii0 T2.2.-HR3000003 Vrsarski otoci Marine habitat-G.3.2.3.5.-Association with Zostera noltii G.3.2.3.5._Association_with_Zostera_noltii features EPSG:3765 CRS:84 13.603513136344949 13.606533989036484 45.154733788487555 45.1558773818111 other other text/xml other other other other geonode:G_3_2_3__Biocenosis_of_muddy_sands_of_shellte0 T2.2.-HR3000003 Vrsarski otoci Marine habitats: -G.3.2.3.-Biocenosis of muddy sands of shelltered coast -G.3.2.3.4.-Ass. with Cymodocea nodosa -G.3.6.1.-Biocenosis of infralittoral algae -G.3.8.6.2.-Invasive species-Caulerpa cylindracea features EPSG:3765 CRS:84 13.596721157860383 13.599352969935573 45.180861032676965 45.18327468040086 other other text/xml other other other other geonode:G_3_2__Biocenosis_of_infralittoral_detritus_s0 T2.2.-HR3000003 Vrsarski otoci Marine habitat-G.3.2.-Biocenosis of infralittoral detritus seabeds features G.3.2._Biocenosis_of_infralittoral_detritus_seabeds EPSG:3765 CRS:84 13.562375142355574 13.607881150624474 45.139451933064514 45.20092614570405 other other text/xml other other other other geonode:G_3_2__Infralittoral_fine_sands_with_more_or_2 T2.2.-HR3000003 Vrsarski otoci Marine habitats: -G.3.2.-Infralittoral fine sands with more or less mud -G.3.2.3.4.-Ass. with Cymodocea nodosa features G.3.2._Infralittoral_fine_sands_with_more_or_less_mud_G.3.2.3.4._Ass._with_Cymodocea_nodosa EPSG:3765 CRS:84 13.595438363724574 13.598894062490668 45.170921071079626 45.172532378746325 other other text/xml other other other other geonode:G_3_2__Infralittoral_fine_sands_with_more_or_3 T2.2.-HR3000003 Vrsarski otoci marine habitats: -G.3.2.-Infralittoral fine sands with more or less muds -G.3.8.6.2.-Invasive species-Caulerpa cylindracea G.3.2._Infralittoral_fine_sands_with_more_or_less_muds_G.3.8.6.2._Invasive_species_Caulerpa_cylindracea features EPSG:3765 CRS:84 13.587348968887078 13.603179407772126 45.14090338151259 45.18057578320866 other other text/xml other other other other geonode:G_3_4_1__Infralittoral_gravels0 T2.2.-HR3000003 Vrsarski otoci Marine habitat-G.3.4.1.-Infralittoral gravels features G.3.4.1._Infralittoral_gravels EPSG:3765 CRS:84 13.594483022337212 13.60583015246672 45.15650762405533 45.18621497511349 other other text/xml other other other other geonode:G_3_4__Infralittoral_rock_and_gravels_G_3_6_10 T2.2.-HR3000003 Vrsarski otoci Marine habitats: -G.3.4.-Infralittoral rock and gravels -G.3.6.1.-Biocenosis of infralittoral algae -G.3.8.6.2.-Invasive species-Caulerpa cylindracea features EPSG:3765 CRS:84 13.588522092794888 13.59780253855841 45.17023322126472 45.1745171710095 other other text/xml other other other other geonode:G_3_4__Infralittoral_rocks_and_gravels0 T2.2.-HR3000003 Vrsarski otoci Marine habitat-G.3.4.-Infralittoral rocks and gravels features G.3.4._Infralittoral_rocks_and_gravels EPSG:3765 CRS:84 13.579428305721752 13.600561522767723 45.14882651456113 45.1942721780895 other other text/xml other other other other geonode:G_3_4__Infralittoral_rocks_and_gravels_G_3_2_0 T2.2.-HR3000003 Vrsarski otoci Marine habitats: -G.3.4.-Infralittoral rocks and gravels -G.3.2.2.1.-Ass. with Cymodocea nodosa -G.3.8.6.2.-Invasive species-Caulerpa cylindracea features EPSG:3765 CRS:84 13.592806196582579 13.59540116387328 45.17173261076606 45.17295741260047 other other text/xml other other other other geonode:G_3_4__Infralittoral_rocks_and_gravels_G_3_8_0 T2.2.-HR3000003 Vrsarski otoci Marine habitats: -G.3.4.-Infralittoral rocks and gravels -G.3.8.6.2.-Invasive species-Caulerpa cylindracea features G.3.4._Infralittoral_rocks_and_gravels_G.3.8.6.2._Invasive_species_caulerpa_cylindracea EPSG:3765 CRS:84 13.591590977379655 13.59675036835437 45.17083659520657 45.17365217796638 other other text/xml other other other other geonode:G_3_6_1__Biocenosis_of_infralittoral_algae0 T2.2.-HR3000003 Vrsarski otoci Marine habitat-G.3.6.1.-Biocenosis of infralittoral algae features G.3.2.3.4._Association_with_Cymodocea_nodosa_G.3.6.1._Biocenosis_of_infralittoral_algae EPSG:3765 CRS:84 13.567093190037449 13.606639634958228 45.13954629165206 45.20018345442757 other other text/xml other other other other geonode:G_3_6_1__Biocenosis_of_infralittoral_algae_G_1 T2.2-HR3000003 Vrsarski otoci Marine habitats: -G.3.6.1.-Biocenosis of infralittoral algae -G.3.2.-Infralittoral fine sands with more or less mud G.3.6.1._Biocenosis_of_infralittoral_algae_G.3.2._Infralittoral_fine_sands_with_more_or_less_mudd features EPSG:3765 CRS:84 13.563059861150894 13.607227748404496 45.139455289555826 45.200367286385415 other other text/xml other other other other geonode:G_3_6_1__Biocenosis_of_infralittoral_algae_G_2 T2.2.-HR3000003 Vrsarski otoci Marine habitats: -G.3.6.1.-Biocenosis of infralittoral algae -G.3.2.-Infralittoral fine sands with more or less mud -G.3.8.6.2.-Invasive species Caulerpa cylindracea features EPSG:3765 CRS:84 13.57730379761025 13.604152276859837 45.150614287031075 45.197622367403454 other other text/xml other other other other geonode:G_3_6_1__Biocenosis_of_infralittoral_algae_G_3 T2.2.-HR3000003 Vrsarski otoci Marine habitats: -G.3.6.1.-Biocenosis of infralittoral algae -G.3.8.6.2.-Invasive species-Caulerpa cylindracea G.3.6.1._Biocenosis_of_infralittoral_algae_G.3.8.6.2._Invasive_species_Caulerpa_cylindracea features EPSG:3765 CRS:84 13.593126220554812 13.603587044128819 45.1530981156404 45.16046668612052 other other text/xml other other other other geonode:G_3_8_1_1__Infralittoral_communities_of_the_b0 T2.2-HR3000003 Vrsarski otoci Marine habitat-G.3.8.1.1.-Infralittoral communities of the bottom of tourist beaches and healing muds features G.3.8.1.1._Infralittoral_communities_of_the_bottom_of_tourist_beaches_and_healing_muds EPSG:3765 CRS:84 13.591462153381778 13.609272700015197 45.15525205016096 45.186230905434485 other other text/xml other other other other geonode:G_3_8_2_1__Infralittoral_communities_of_concr0 T2.2.-HR3000003 Vrsarski otoci Marine habitat-G.3.8.2.1.-Infralittoral communities of concrete and built coast (ports) G.3.8.2.1._Infralittoral_communities_of_concrete_and_built_coast_ports_ features EPSG:3765 CRS:84 13.583842620223486 13.606338450865497 45.148086660437095 45.19555389665294 other other text/xml other other other other geonode:Giacimenti It contains the polygons that represent the sandy deposits identified in the areas. For each deposit, the name of the reservoir, the volume in m3 of total sand, the volume in m3 of useful sand are specified at nourishment, the type of sand and the average diameter of the granules (D50). features EPSG:32633 CRS:84 12.689057864530556 13.259252727993251 44.17996382703415 44.70852807298844 other other text/xml other other other other geonode:Infralittoral_communities_of_concrete_and_bui Infralittoral communities of concrete and built coast (ports) G.3.8.2.1._Infralittoral_communities_of_concrete_and_built_coast_ports_ features EPSG:3765 CRS:84 13.583842620223486 13.606338450865497 45.148086660437095 45.19555389665294 other other text/xml other other other other geonode:Invasive_species_Caulerpa_cylindracea T2.2.-HR3000003 Vrsarski otoci Invasive species Caulerpa cylindracea in ass. with cymodocea nodosa features G.3.2.2.1._Association_with_Cymodocea_nodosa_G.3.8.6.2._Invasive_species_Caulerpa_cylindraceae EPSG:3765 CRS:84 13.574026588064147 13.609960243096218 45.13971966478577 45.19704604209655 other other text/xml other other other other geonode:Invasive_species_Caulerpa_cylindracea0 Distribution of invasive species Caulerpa cylindracea in marine NATURA 2000 site HR3000003 Vrsar islands features G.3.2.2.1._Association_with_Cymodocea_nodosa_G.3.8.6.2._Invasive_species_Caulerpa_cylindraceae EPSG:3765 CRS:84 13.574026588064147 13.609960243096218 45.13971966478577 45.19704604209655 other other text/xml other other other other geonode:Invasive_terrestrial_species_HR3000003 T2.2-HR3000003 Vrsarski otoci Invasive terestrial species: Conyza canadensis (L.) Cronquist Bidens subalternans DC. Datura stramonium L. features Invasive_terrestrial_species_HR3000003 EPSG:3765 CRS:84 13.591326969889568 13.602341566532541 45.14788679553785 45.172241457766184 other other text/xml other other other other geonode:Izohipse_izobate_20m Isohips and isobaths in Istria county Izohipse_izobate_20m features EPSG:3765 CRS:84 13.486841967269706 14.274094579469908 44.73552521602174 45.51711811899509 other other text/xml other other other other geonode:Litophaga_litophaga_Habitat_Directive T.2.2.-HR3000003 Vrsarski otoci Distribution of Litophaga Litophaga in marine NATURA 2000 site. Species is under the Council Directive 92/43/EEC (Annex IV) features Litophaga_litophaga_Habitat_Directive EPSG:3765 CRS:84 13.564010775769379 13.60418094957488 45.14197263132495 45.20028751670087 other other text/xml other other other other geonode:Localita_Colpite_2019_bis Sites of Emilia-Romagna (IT) coastline affected by sea-storm events in the period 1943-2019; classified the following types of impacts: I: Ingression (sea-flooding) E: beach erosion T: channel overflow D: damage to defense works B: damage to bathing facilities features EPSG:25833 CRS:84 12.231580027665341 12.723574591126074 43.961936396660825 44.85924885084735 other other text/xml other other other other geonode:MINUS_10 Bathymetry (-10m)- Istria county MINUS_10 features EPSG:3765 CRS:84 13.486859683681525 14.262211907860785 44.74619839896771 45.51684314459782 other other text/xml other other other other geonode:MINUS_20 Bathymetry (-20m) - Istria county features MINUS_20 EPSG:3765 CRS:84 13.495420601792997 14.261472688076505 44.74480790131538 45.45573288816938 other other text/xml other other other other geonode:MINUS_50 Bathymetry (-50m)-Istria County MINUS_50 features EPSG:3765 CRS:84 13.598178567893633 14.262593071027347 44.73790788223278 45.205563750880415 other other text/xml other other other other geonode:MajorAccidentReportingSystem Data on installations in the Republic of Croatia where a major accident occurred. The plant data and all reported data on the major accident (time and data of occurrence, time and data of completion, cause of occurrence, method and time of alert, description of major accident, consequences, measure, etc.) are stated. features MajorAccidentReportingSystem EPSG:3765 CRS:84 14.540273077728113 16.39377290066063 45.19723904496882 45.79087382400472 other other text/xml other other other other geonode:Marinas Marina Vrsar-Orsera and marina Funtana-Fontane in HR3000003 Vrsar islands features Marinas EPSG:3765 CRS:84 13.595152999232809 13.60355803539696 45.14825531424838 45.1787251972701 other other text/xml other other other other geonode:Maritime_routes_and_areas Data related to maritime routes and areas in Istria county according to Spatial plan of the Istria county (2016.). Data refer to inland waterway and open port for public transport. Maritime_routes_and_areas features EPSG:3765 CRS:84 13.343377028147296 14.304738639567214 44.51440296323936 45.55344678176488 other other text/xml other other other other geonode:Maritime_routes_and_areas0 Maritime routes and areas in Hr3000003 Vrsar island Maritime_routes_and_areas features EPSG:3765 CRS:84 13.568184572651253 13.599797250954955 45.14833399734757 45.18480540942016 other other text/xml other other other other geonode:Military_disposal_sites Military disposal sites in Istria county. features Military_disposal_sites EPSG:3765 CRS:84 12.974626366922998 13.784378198659162 44.795991320417855 45.164587338273364 other other text/xml other other other other geonode:Model00 features Model EPSG:4326 CRS:84 13.6920171235232 13.8882697687 43.3813298362924 43.6232843665 geonode:Mussels_days_CS_5cm_ER The number of days required to reach the commercial size of 5 cm for shellfish was estimated through the simulation of the rearing cycle using a Scope for Growth model (RAC - R package for aquaculture). GeoTIFF WCS Mussels_days_CS_5cm_ER EPSG:4326 CRS:84 12.2750009611879 12.925000962708221 43.9750010009289 44.79166766950571 other other text/xml other other other other geonode:Mussels_days_CS_7cm_ER The number of days required to reach the commercial size of 7 cm for shellfish was estimated through the simulation of the rearing cycle using a Scope for Growth model (RAC - R package for aquaculture). GeoTIFF WCS Mussels_days_CS_7cm_ER EPSG:4326 CRS:84 12.2750009611879 12.925000962708221 43.9750010009289 44.79166766950571 other other text/xml other other other other geonode:Natural_coastline Ecological objective EO8-Common Indicator 16-Lenght of coastline subject to physical disturbance due to the influence of manmade structures features Natural_coastline EPSG:3765 CRS:84 13.48876973979778 14.243668453384554 44.74873291807766 45.521560880474404 other other text/xml other other other other geonode:OI.OrthoImagery DOF5_2017 WCS ImageMosaic EPSG:3857 CRS:84 15.365352529039756 19.471817435383006 42.33421383356954 46.56158775470246 geonode:PCA PCA has been defined for the purposes of protection, sustainable, workable and economically effective exploitation and it includes all the islands and the area that spreads 1000m from the coastline inland and 300m into the sea. PCA features EPSG:3765 CRS:84 13.484929580861253 14.257398566679228 44.74569487201767 45.52445325694773 other other text/xml other other other other geonode:PTCP_art28_2019 No abstract provided features PTCP_art28_2019 EPSG:25832 CRS:84 9.361678064442659 12.819192028567903 43.85771871843588 45.089860503065346 other other text/xml other other other other geonode:PTCP_art28_20190 No abstract provided features PTCP_art28_2019 EPSG:25832 CRS:84 9.361678064442659 12.819192028567903 43.85771871843588 45.089860503065346 other other text/xml other other other other geonode:PTCP_art28_20191 No abstract provided features PTCP_art28_2019 EPSG:25832 CRS:84 9.361678064442659 12.819192028567903 43.85771871843588 45.089860503065346 other other text/xml other other other other geonode:PTCP_art28_20192 No abstract provided features PTCP_art28_2019 EPSG:25832 CRS:84 9.361678064442659 12.819192028567903 43.85771871843588 45.089860503065346 other other text/xml other other other other geonode:PTCP_art28_20193 No abstract provided features PTCP_art28_2019 EPSG:25832 CRS:84 9.361678064442659 12.819192028567903 43.85771871843588 45.089860503065346 other other text/xml other other other other geonode:Pelagijska_koca Spatial distribution of fishing activity - pelagic trawl Pelagijska_koca features EPSG:3765 CRS:84 12.972822171165381 18.65434674152947 41.58036538828322 45.62382532154567 other other text/xml other other other other geonode:Pinna_nobilis_Habitat_Directive T2.2.-HR3000003 Vrsarski otoci Distribution of Pinna nobilis, species underCouncil Directive 92/43/EEC (Annex IV), in marine NATURA 2000 site Vrsarski otoci (HR3000003) Pinna_nobilis_Habitat_Directive features EPSG:3765 CRS:84 13.563982905926412 13.611596006854773 45.140655060017366 45.20102225508923 other other text/xml other other other other geonode:Platamuni_Biocenotic_map_1_5000 Map of the habitats of the Platamuni area represent spatial representations of the habitat types. This data could be used for the urgently needed creation of a Montenegrin Cave's Register and also as a basis for future research and protection measures. Platamuni_Biocenotic_map_1_5000 features EPSG:32634 CRS:84 18.69557894738835 18.786876826966157 42.26172324862317 42.335588776179925 other other text/xml other other other other geonode:Porti_marine_RER La cartografia rappresenta il numero dei posti barca da diporto in Emilia-Romagna al 2013 (censimento delle capitanerie di porto) e le previsioni al 2025 . I dati sono contenuti nei documenti - PRIT (Piano trasporti integrato) 2025 in approvazione (Delibera Assemblea legislativa regionale n. 214 del 10/07/2019 di adozione del Piano)Il sistema portuale di interesse regionale, definito dalla L.R. 11/1983 ed è costituito dall’insieme delle singole realtà fisiche portuali distribuite lungo la costa Adriatica della regione, oltre ad alcuni approdi sull’asta fluviale del fiume Po, e specificatamente:Porti Regionali: Cattolica, Cesenatico, Goro, Porto Garibaldi e Rimini;Porti Comunali: Bellaria, Cervia, Gorino, Riccione;Porti e approdi turistici marittimi. In questa ultima categoria rientrano i porti turistici esistenti privati di Casalborsetti (Porto reno) , Ravenna - Marinara, Marina Romea, Portoverde (Misano Adriatico) e approdo turistico della foce del Po di Volano.In generale i porti di interesse regionale assolvono a una complessa serie di funzioni: commerciali, industriali, passeggeri, peschereccia, turistica e da diporto. Non vi è un’effettiva specializzazione funzionale, anche se il fattore di sviluppo di maggiore rilievo è in genere l’attività diportistica. In tutti i casi, gli aspetti più direttamente legati ai trasporti passeggeri o merci sono o residuali o quasi completamente assenti, fortemente condizionati dalla struttura fisica del porto stesso. Porti_marine_RER features EPSG:4258 CRS:84 12.2363538677045 12.7496388986928 43.96915306946 44.8420307531152 other other text/xml other other other other geonode:Ports_Istria Data related to ports and marinas in Istria county according to Spatial Plan of the Istria county (2016.). Data refer to open port area for public transport. Ports_Istria features EPSG:3765 CRS:84 13.5092923440101 14.219326117821765 44.806758026720175 45.45730411391227 other other text/xml other other other other geonode:Proposed_SIC_RER Boundaries of the 'Site of Community Importance' declared by Emilia-Romagna region in November 2020, through deliberation act Num. 1572 del 09/11/2020 Limiti del SIC NAtura 2000 , MAre Adriatico Settentrionale-Regione Emilia-Romagna, istituito con delibera di Giunta regionale n. 1572 del 09/11/2020 features SIC NAtura 2000 EPSG:32633 CRS:84 12.359143687895495 12.669036215889129 44.55746567716466 44.73003287392114 other other text/xml other other other other geonode:Protected_areas_POINT Protected natural values in terms of the Nature Protection ACT (OG 80/13, 15/18, 14/19) are: protected areas (strict reserve, national park, special reserve, nature park, regional park, natural monument, important landscape, forest park, monument of park architecture), protected taxa, strictly protected wild taxon and protected mineral and fossil. features Protected_areas_POINT EPSG:3765 CRS:84 13.531658300350717 18.922026153412908 42.56382691432231 46.46388436604992 other other text/xml other other other other geonode:Protected_areas_POLYGONS Protected natural values in terms of the Nature Protection ACT (OG 80/13, 15/18, 14/19) are: protected areas (strict reserve, national park, special reserve, nature park, regional park, natural monument, important landscape, forest park, monument of park architecture), protected taxa, strictly protected wild taxon and protected mineral and fossil. features Protected_areas_POLYGONS EPSG:3765 CRS:84 13.533015853493001 19.445665466416806 42.49700559643 46.555098180678634 other other text/xml other other other other geonode:Protected_species T2.2.-HR3000003 Vrsarski otoci Protected species according to CRO legislations and EU legislations Protected_species features EPSG:3765 CRS:84 13.562377409239229 13.611656027318892 45.139426159624 45.20102225508923 other other text/xml other other other other geonode:RER_Zones_v03 Planning units for MSP Italy - Adriatic Subregion - Emilia Romagna Region msp EPSG:3035 CRS:84 12.212009698929954 13.48917578943024 43.947238257334796 44.804774189689795 other other text/xml other other other other geonode:SHORELINE_EVOLUTION_1956_1976_RA Shoreline evolution trend, in terms of retreat/advance , along Abruzzo coast for time window 1956-1976 SHORELINE_EVOLUTION_1956_1976_RA features EPSG:4326 CRS:84 13.919973743836 14.7960702919757 42.0656084893768 42.8932220358681 other other text/xml other other other other geonode:SHORELINE_EVOLUTION_1976_1997_RA Shoreline evolution trend, in terms of retreat/advance, along Abruzzo coast for time window, 1976-1997 SHORELINE_EVOLUTION_1976_1997_RA features EPSG:4326 CRS:84 13.9197814462173 14.796049109698 42.0648529516429 42.8932981531526 other other text/xml other other other other geonode:SHORELINE_EVOLUTION_1997_2018_RA Shoreline evolution trend, in terms of retreat/advance, along Abruzzo coast for the time window 1997-2018 shoreline evolution features SHORELINE_EVOLUTION_1997_2018_RA EPSG:4326 CRS:84 13.9197814462173 14.796049109698 42.0645904962993 42.8932981531526 other other text/xml other other other other geonode:SWH_90percentile__ER The Significant Wave Height (90th percentile) was calculated by means of the SWAN model run operationally by the Hydro-Meteorological Service of the Regional Environment Protection Agency of Emilia-Romagna, and mapped in order to be used as criterion within the Spatial Multi-Criteria Evaluation process for the aquaculture suitability evaluation.vided GeoTIFF EPSG:4326 CRS:84 12.2750009611879 12.925000962708221 43.9750010009289 44.79166766950571 other other text/xml other other other other geonode:SZ_HT_CORINE_2018 SZ_HT_CORINE_2018 features EPSG:4326 CRS:84 13.7416809731013 13.767804497536 45.5394220782685 45.5539440081114 geonode:Sea_quality_annual_assessment_2015 Final annual and individual assessments on sea bathing water quality at the beaches in the Republic of Croatia. Assessments are determined on the basis of criteria defined by Regulation on Sea bathing water quality (OG 73/08) and the EU Directive on management of bathing water quality No 2006/7/EC. features Sea_quality_annual_assessment_2015 EPSG:3765 CRS:84 13.48796927750853 18.619033227814175 42.388648451325004 45.53674858959588 other other text/xml other other other other geonode:Seabed_dynamics_2012_2018_Emilia_Romagna_IT_ The Seabed dynamics 2012-2018 layer has been processed by AGSS-RER. The analysis concern the entire Emilia-Romagna coastline between the Po di Goro river mouth and Cattolica (the Tavollo river mouth). The shoreline has been classified in 5 classes, depending on the type of process that has characterized the submerged beach in the time interval 2012-2018 (lowering/elevation). Seabed_dynamics_2012_2018_Emilia_Romagna_IT_ features EPSG:32632 CRS:84 12.200995923057269 12.803950090778741 43.96779900052407 44.81961026717128 other other text/xml other other other other geonode:Strictly_protected_species_HR3000003_Vrsarski T2.2-HR300000 Vrsarski otoci Terrestrial stricty protected species: Carex extensa Good. (EN) Glaucium flavum Crantz (EN) Desmazeria marina (L.) Druce (VU) Parapholis incurva (L.) C.E.Hubbard (VU) Limonium cancellatum (Bernhex Bertol) O. Kuntze features Strictly_protected_species_HR3000003_Vrsarski_otoci EPSG:3765 CRS:84 13.568298679825634 13.60531479910803 45.14174820467053 45.198645228082334 other other text/xml other other other other geonode:Study_area No abstract provided Study_area features EPSG:3035 CRS:84 20.25575350133041 21.59178474264217 37.87099611289402 38.918540280543965 other other text/xml other other other other geonode:Suitability_Mussel_farm_ER Aquaculture Suitability Index for shellfish farm in Emilia Romagna estimated applying the SMCE Methodology. Suitability_Mussel_farm_ER GeoTIFF WCS EPSG:4326 CRS:84 12.275000961 12.925000963 43.975001001 44.79166767 other other text/xml other other other other geonode:TRIX_2006_2 Trophic index is calculated from the concentrations of total dissolved inorganic nitrogen, total phosphorus, chlorophyll a and deviation of oxygen saturation from steady state. TRIX_2006_2 features EPSG:3765 CRS:84 13.392124878787643 18.186072196800392 42.59730895044436 45.47699671472182 other other text/xml other other other other geonode:Tartana_kogol_strasin_kocica Spatial distribution of fishing activity - trawl-targeting Spicara smaris Tartana_kogol_strasin_kocica features EPSG:3765 CRS:84 12.972822171165381 18.65434674152947 41.58036538828322 45.62382532154567 other other text/xml other other other other geonode:Tourism_2018_Emilia_Romagna_Region Tourist Arrivals and Presences by location (Municipalities) in the coastal area (riviera) for the period January -December 2018. It derives from the surveys carried out by the National Institute of Statistics (ISTAT) and approved annually by decree of the President of the Council of Ministers. The monitoring on the customers movement consider both hotels and other solutions; it records arrivals monthly and the presence of Italian and foreign customers by type and category of business, by municipality, by nationality of origin of foreigners and by province and / or region of origin of Italian customers. The data of 2018 are consolidated. features EPSG:32633 CRS:84 11.943829784293214 12.756843617486108 43.91727202423197 44.94523732833265 other other text/xml other other other other geonode:Tourism_2019_Emilia_Romagna_Region Tourist Arrivals and Presences by location (Municipalities) in the coastal area (riviera) for the period January -December 2019. It derives from the surveys carried out by the National Institute of Statistics (ISTAT) and approved annually by decree of the President of the Council of Ministers. The monitoring on the customers movement consider both hotels and other solutions; it records arrivals monthly and the presence of Italian and foreign customers by type and category of business, by municipality, by nationality of origin of foreigners and by province and / or region of origin of Italian customers. The data of 2019 are provisional. features EPSG:32633 CRS:84 11.943829784293214 12.756843617486108 43.91727202423197 44.94523732833265 other other text/xml other other other other geonode:Touristic_areas_PCA_2018_ISTRIA_COUNTY Touristic areas in the Protected coastal area in the Istria county according to Spatial Plan of the Istria county (2016.) Touristic_areas_PCA_2018_ISTRIA_COUNTY features EPSG:3765 CRS:84 13.48878850536242 14.24203547160442 44.78464412392853 45.51999234780874 other other text/xml other other other other geonode:Touristic_areas_PCA_2018_ISTRIA_COUNTY0 Touristic areas in the protected coastal zone in Istria County according to Physical Plan of Istria County (2016.) Touristic_areas_PCA_2018_ISTRIA_COUNTY features EPSG:3765 CRS:84 13.48878850536242 14.24203547160442 44.78464412392853 45.51999234780874 other other text/xml other other other other geonode:Transitional_waters Transnational water Transitional_waters features EPSG:3765 CRS:84 13.573036435168884 18.216963937385028 42.64337820608642 45.51897841264218 other other text/xml other other other other geonode:Tursiops_truncatus Distribution of Tursiops truncatus in Istria county features Tursiops_truncatus EPSG:3765 CRS:84 13.47727097216353 14.096070199219863 44.67271069395626 45.18264461450007 other other text/xml other other other other geonode:Tursiops_truncatus0 Distribution of Tursiops truncatus in Istria County features Tursiops_truncatus EPSG:3765 CRS:84 13.47727097216353 14.096070199219863 44.67271069395626 45.18264461450007 other other text/xml other other other other geonode:Tursiops_truncatus1 Distribution of Tursiops truncatus in HR3000003 Vrsar islands features Tursiops_truncatus EPSG:3765 CRS:84 13.47727097216353 13.597224562582554 45.13246923809223 45.17144037132462 other other text/xml other other other other geonode:Type_of_coastline_Istria_county Type of coastline-Istria county Type_of_coastline_Istria_county features EPSG:3765 CRS:84 13.488688634912295 14.264363945688547 44.71441701361861 45.522010545099285 other other text/xml other other other other geonode:ULSG_Croatia Units of local self-government in Croatia are municipalities and cities, responsible for communal affairs and urban planning. As of 2017, Croatia is subdivided into 128 cities and 428 municipalities. Istria county is subdivided into 41 units of local self-government (10 cities and 31 municipalities) ULSG_Croatia features EPSG:3765 CRS:84 13.433451847203965 19.51795520048746 42.342197570369926 46.55509807810333 other other text/xml other other other other geonode:ULSG_maritime_border_ISTRIA_County Maritime boundaries of units of local self government in Istria county. ULSG_maritime_border_ISTRIA_County features EPSG:3765 CRS:84 13.202460127937954 14.283957635926916 44.452990787273244 45.60650779136838 other other text/xml other other other other geonode:Underwater_beach_slope2012 Classification of Emilia-Romagna underwater beaches based on slope. The classification is based on topo-bathymetric data collected in 2012 by Arpae on behalf of the Regional administration. The slope calculation is carried out on each surveyed transect, distanced 500 m apart. The linear data derives from interpolation of punctual results. Data has been processed by SGSS-RER Underwater_beach_slope2012 features EPSG:5659 CRS:84 12.201025524790522 12.801583887772209 43.967981885056076 44.819416078216854 other other text/xml other other other other geonode:Unit_of_local_self_government_ISTRIA_COUNTY Units of local self government in the Istria county Unit_of_local_self_government_ISTRIA_COUNTY features EPSG:3765 CRS:84 13.48862201642034 14.243665723602938 44.74873303390166 45.52441499894127 other other text/xml other other other other geonode:Vrsar_Funtana_GP Data related to building areas in municipality Vrsar-Orsera and municipality Funtana-Fontane according to Spatial plans of municipalities. Vrsar_Funtana_GP features EPSG:3765 CRS:84 13.579907818842498 13.734795769299966 45.12772778163914 45.20257020405391 other other text/xml other other other other geonode:Vrsar_Funtana_GP0 Building areas in units of local self-government: Municipality of Vrsar-Orsera and Funtana-Fontane Vrsar_Funtana_GP features EPSG:3765 CRS:84 13.579907818842498 13.734795769299966 45.12772778163914 45.20257020405391 other other text/xml other other other other geonode:WFD_Bad_2015 CARLIT (Littoral Cartography) method used to categorize the coastal waters along the Istrian coast. This method is based on the sampling survey in an entire coast with a small boat kept as close as possible to the shoreline and on annotating the appearance and abundance of littoral and sub-littoral communities along the rocky shore. This data related to 2015. It corresponds to sites with a bad ecological status according to the nomenclature of the WFD. WFD_Bad_2015 features EPSG:3765 CRS:84 13.585833640001386 13.586623462482867 45.19942294081269 45.19985033180259 other other text/xml other other other other geonode:WFD_Good_2011 CARLIT (Littoral Cartography) method used to categorize the coastal waters along the Istrian coast. This method is based on the sampling survey in an entire coast with a small boat kept as close as possible to the shoreline and on annotating the appearance and abundance of littoral and sub-littoral communities along the rocky shore. This data related to 2011 and are owned by the Center for Marine Research-Rovinj. It corresponds to sites with a good ecological status according to the nomenclature of the WFD. WFD_Good_2011 features EPSG:3765 CRS:84 13.579677834774822 13.588585534398543 45.19792337651717 45.20004611389649 other other text/xml other other other other geonode:WFD_Good_2015 CARLIT (Littoral Cartography) method used to categorize the coastal waters along the Istrian coast. This method is based on the sampling survey in an entire coast with a small boat kept as close as possible to the shoreline and on annotating the appearance and abundance of littoral and sub-littoral communities along the rocky shore. This data related to 2015 and are owned by the Center for Marine Research-Rovinj. It corresponds to sites with a good ecological status according to the nomenclature of the WFD. features WFD_Good_2015 EPSG:3765 CRS:84 13.581305804424028 13.604000065947904 45.159459968862635 45.19984695827119 other other text/xml other other other other geonode:WFD_Good_2016 CARLIT (Littoral Cartography) method used to categorize the coastal waters along the Istrian coast. This method is based on the sampling survey in an entire coast with a small boat kept as close as possible to the shoreline and on annotating the appearance and abundance of littoral and sub-littoral communities along the rocky shore. This data related to 2016 and are owned by the Center for Marine Research-Rovinj. It corresponds to sites with a good ecological status according to the nomenclature of the WFD. WFD_Good_2016 features EPSG:3765 CRS:84 13.596135629019972 13.604000769132531 45.15979445782716 45.168095940389826 other other text/xml other other other other geonode:WFD_High_2015 CARLIT (Littoral Cartography) method used to categorize the coastal waters along the Istrian coast. This method is based on the sampling survey in an entire coast with a small boat kept as close as possible to the shoreline and on annotating the appearance and abundance of littoral and sub-littoral communities along the rocky shore. This data related to 2015 and are owned by the Center for Marine Research-Rovinj. It corresponds to sites with a high ecological status according to the nomenclature of the WFD. features WFD_High_2015 EPSG:3765 CRS:84 13.589347114307904 13.604470644571867 45.146632017491044 45.17269065040739 other other text/xml other other other other geonode:WFD_High_2016 CARLIT (Littoral Cartography) method used to categorize the coastal waters along the Istrian coast. This method is based on the sampling survey in an entire coast with a small boat kept as close as possible to the shoreline and on annotating the appearance and abundance of littoral and sub-littoral communities along the rocky shore. This data related to 2016 and are owned by the Center for Marine Research-Rovinj. It corresponds to sites with a high ecological status according to the nomenclature of the WFD. features WFD_High_2016 EPSG:3765 CRS:84 13.58934204787048 13.604470281687888 45.14664006702226 45.17273209423311 other other text/xml other other other other geonode:WFD_Moderate CARLIT (Littoral Cartography) method used to categorize the coastal waters along the Istrian coast. This method is based on the sampling survey in an entire coast with a small boat kept as close as possible to the shoreline and on annotating the appearance and abundance of littoral and sub-littoral communities along the rocky shore. This data related to 2016 and are owned by the Center for Marine Research-Rovinj. It corresponds to sites with a moderate ecological status according to the nomenclature of the WFD. features WFD_Moderate EPSG:3765 CRS:84 13.579674648752905 13.600751275195575 45.146525378020534 45.19959673651425 other other text/xml other other other other geonode:WFD_Moderate0 CARLIT (Littoral Cartography) method used to categorize the coastal waters along the Istrian coast. This method is based on the sampling survey in an entire coast with a small boat kept as close as possible to the shoreline and on annotating the appearance and abundance of littoral and sub-littoral communities along the rocky shore. This data related to 2015 and are owned by the Center for Marine Research-Rovinj. It corresponds to sites with a moderate ecological status according to the nomenclature of the WFD. features WFD_Moderate EPSG:3765 CRS:84 13.579674648752905 13.600751275195575 45.146525378020534 45.19959673651425 other other text/xml other other other other geonode:WFD_Poor_2015 CARLIT (Littoral Cartography) method used to categorize the coastal waters along the Istrian coast. This method is based on the sampling survey in an entire coast with a small boat kept as close as possible to the shoreline and on annotating the appearance and abundance of littoral and sub-littoral communities along the rocky shore. This data related to 2015 and are owned by the Center for Marine Research-Rovinj. It corresponds to sites with a poor ecological status according to the nomenclature of the WFD. features WFD_Poor_2015 EPSG:3765 CRS:84 13.5804028841982 13.587593659469576 45.19874353863881 45.19998985647682 other other text/xml other other other other geonode:WF_OffS_Rimini Area of interest for offshore wind farms installation WF_OffS_Rimini features EPSG:32633 CRS:84 12.717142142232808 12.890878937699686 44.07355363576062 44.19637955401651 other other text/xml other other other other geonode:a__1 Map Cumulative effects of aquaculture, fisheries and tourism on major ecosystem components and identify and map the spatial conflicts between human uses in the case study area. As aquaculture layer we used the output of AZA module with the suitability more than 0.5. GeoTIFF EPSG:3035 CRS:84 20.25350685365738 21.593949841971824 37.86932046503019 38.92024278035881 other other text/xml other other other other geonode:a__12_Port_and_marinas1 Ecological objective EO8-Common Indicator 16-Lenght of coastline subject to physical disturbance due to the influence of manmade structures features _12_Port_and_marinas EPSG:3765 CRS:84 13.50121577834734 14.237224756095872 44.80466527712116 45.51829595964353 other other text/xml other other other other geonode:a__1_Breakwaters Ecological objective EO8-Common Indicator 16-Lenght of coastline subject to physical disturbance due to the influence of manmade structures features _1_Breakwaters EPSG:3765 CRS:84 13.507832192080656 14.106039285399714 44.79977021701878 45.507785397381646 other other text/xml other other other other geonode:a__2019_shellfish_farms_in__eztyo0 Mussels and clams farms marine areas (2020) and inland waters The coordinates of the farms have been provided by the Development Service of the Fish Economy and of the animal production that manages the release of the maritime state property concessions. The classification of farms in accordance with Regulation (EC) no. 853/2004 has been taken care of by the Veterinary Service and Food Hygiene. aquaculture_areas features EPSG:25832 CRS:84 12.203264797928417 12.802201753662874 43.98951929576559 44.8417839591569 other other text/xml other other other other geonode:a__2_Seawater_Revetments_Sea_dike Ecological objective EO8-Common Indicator 16-Lenght of coastline subject to physical disturbance due to the influence of manmade structures _2_Seawater_Revetments_Sea_dike features EPSG:3765 CRS:84 13.509174139510506 14.170464632283426 44.800929416019095 45.51306859980423 other other text/xml other other other other geonode:acquacultura Data related to aquaculture areas in Istria county according to Spatial Plan of the Istria county (2016.). features EPSG:3765 CRS:84 13.497910927891226 14.079305995839732 44.97966078490897 45.42163805119313 other other text/xml other other other other geonode:acque_promiscue In national area is the Navigation Code in force , in which there is a common part with rules that fit both the maritime sphere than the internal and specific regulations attached to the Code, dedicated to the administrative waterway. There is a special regime for navigation promiscuous whereby the vessel, which shall enter into maritime waters has to observe the rules and is subject to the supervision of the competent institutions for sea and vice versa. features EPSG:5659 CRS:84 12.202019667587434 12.830678280786092 43.96650410124824 44.844945614863995 other other text/xml other other other other geonode:actual_anchorage_of_larg_mubqv An outline of the area of the actual mooring of large commercial vessels waiting to enter the port of Koper based on AIS data for June 2015. actual_anchorage_of_larg_mubqv features EPSG:3794 CRS:84 13.6463787709349 13.746280947623552 45.54179881846377 45.587768242974825 other other text/xml other other other other geonode:adriatic_continental_platform Vector featuring Continental shelf as defined by the 1982 United Nations Convention on the Law of the Sea. In the Adriatic sea it is regulated by specific Convention between the coastal states.The vector data was created starting from the geographic coordinates given by the Agreement between coastal state. features EPSG:4258 CRS:84 13.0027777773532 18.9771657779219 40.1320000530733 45.63 other other text/xml other other other other geonode:adriatic_sea_dumping_areas The dataset combines data on dumping sites, disposal site and dumping ground, provided by European Environmental Agency with official data from Shape partners and data from nautical charts (IIM), Slovenian Environmental Agency (ARSO), Republic of Croatia Istrian Region and data provided by ECAT Tirana, Albania. features EPSG:3857 CRS:84 12.399047754082982 18.60381120003414 40.5995502990659 45.67161788403824 other other text/xml other other other other geonode:air_3_nautical_miles_fro_foslp Vector (polygon) featuring marine waters between the coastline and 3 nautical miles offshore. Reference coastline from EEA coastline https://www.portodimare.eu/layers_ext/geonode:eea_coastline_polyline_a_ksaji#/ features EPSG:3035 CRS:84 11.85246562106437 24.762722686759968 35.9048272170015 45.842132056328914 other other text/xml other other other other geonode:air_italian_coastline No abstract provided air_italian_coastline features EPSG:4326 CRS:84 12.0978594288319 18.520107049381 36.6468481445354 45.8050035565377 other other text/xml other other other other geonode:ais_data_on_average_mari_fxedl Average vessel density (Other vessels) expressed as hours per square kilometre per month, extracted (Mediterranea and Black Sea part) from the EMODnet Human Activities - Vessel Density 2017 dataset. Original full dataset available from: https://www.emodnet-humanactivities.eu/search-results.php?dataname=Vessel+Density+ GeoTIFF EPSG:3035 CRS:84 -10.417085157053592 45.18659125208331 25.939822461599316 52.46724791485243 other other text/xml other other other other geonode:ais_data_on_average_mari_hgkch Average vessel density (Service vessels) expressed as hours per square kilometre per month, extracted (Mediterranea and Black Sea part) from the EMODnet Human Activities - Vessel Density 2017 dataset. Original full dataset available from: https://www.emodnet-humanactivities.eu/search-results.php?dataname=Vessel+Density+ GeoTIFF EPSG:3035 CRS:84 -10.417085157053592 45.18659125208331 25.939822461599316 52.46724791485243 other other text/xml other other other other geonode:ais_data_on_average_mari_lfqsv Average vessel density (Pleasure Craft) expressed as hours per square kilometre per month, extracted (Mediterranea and Black Sea part) from the EMODnet Human Activities - Vessel Density 2017 dataset. Original full dataset available from: https://www.emodnet-humanactivities.eu/search-results.php?dataname=Vessel+Density+ GeoTIFF EPSG:3035 CRS:84 -10.417085157053592 45.18659125208331 25.939822461599316 52.46724791485243 other other text/xml other other other other geonode:ais_data_on_average_mari_meyda Average vessel density (Tug and towing) expressed as hours per square kilometre per month, extracted (Mediterranea and Black Sea part) from the EMODnet Human Activities - Vessel Density 2017 dataset. Original full dataset available from: https://www.emodnet-humanactivities.eu/search-results.php?dataname=Vessel+Density+ GeoTIFF EPSG:3035 CRS:84 -10.417085157053592 45.18659125208331 25.939822461599316 52.46724791485243 other other text/xml other other other other geonode:ais_data_on_average_mari_ncqrh Average vessel density (Tanker) expressed as hours per square kilometre per month, extracted (Mediterranea and Black Sea part) from the EMODnet Human Activities - Vessel Density 2017 dataset. Original full dataset available from: https://www.emodnet-humanactivities.eu/search-results.php?dataname=Vessel+Density+ GeoTIFF EPSG:3035 CRS:84 -10.417085157053592 45.18659125208331 25.939822461599316 52.46724791485243 other other text/xml other other other other geonode:ais_data_on_average_mari_ookyf Average vessel density (Cargo) expressed as hours per square kilometre per month, extracted (Mediterranea and Black Sea part) from the EMODnet Human Activities - Vessel Density 2017 dataset. Original full dataset available from: https://www.emodnet-humanactivities.eu/search-results.php?dataname=Vessel+Density+ GeoTIFF EPSG:3035 CRS:84 -10.417085157053592 45.18659125208331 25.939822461599316 52.46724791485243 other other text/xml other other other other geonode:ais_data_on_average_mari_qfeob Average vessel density (Sailing vessels) expressed as hours per square kilometre per month, extracted (Mediterranea and Black Sea part) from the EMODnet Human Activities - Vessel Density 2017 dataset. Original full dataset available from: https://www.emodnet-humanactivities.eu/search-results.php?dataname=Vessel+Density+ GeoTIFF EPSG:3035 CRS:84 -10.417085157053592 45.18659125208331 25.939822461599316 52.46724791485243 other other text/xml other other other other geonode:ais_data_on_average_mari_tkodb Average vessel density (Fishing vessels) expressed as hours per square kilometre per month, extracted (Mediterranea and Black Sea part) from the EMODnet Human Activities - Vessel Density 2017 dataset. Original full dataset available from: https://www.emodnet-humanactivities.eu/search-results.php?dataname=Vessel+Density+ GeoTIFF EPSG:3035 CRS:84 -10.417085157053592 45.18659125208331 25.939822461599316 52.46724791485243 other other text/xml other other other other geonode:ais_data_on_average_mari_uohaf Average vessel density (Military and Law Enforcement) expressed as hours per square kilometre per month, extracted (Mediterranea and Black Sea part) from the EMODnet Human Activities - Vessel Density 2017 dataset. Original full dataset available from: https://www.emodnet-humanactivities.eu/search-results.php?dataname=Vessel+Density+ GeoTIFF EPSG:3035 CRS:84 -10.417085157053592 45.18659125208331 25.939822461599316 52.46724791485243 other other text/xml other other other other geonode:ais_data_on_average_mari_wwqtv Average vessel density (Dredging or underwater ops) expressed as hours per square kilometre per month, extracted (Mediterranea and Black Sea part) from the EMODnet Human Activities - Vessel Density 2017 dataset. Original full dataset available from: https://www.emodnet-humanactivities.eu/search-results.php?dataname=Vessel+Density+ GeoTIFF EPSG:3035 CRS:84 -10.417085157053592 45.18659125208331 25.939822461599316 52.46724791485243 other other text/xml other other other other geonode:ais_data_on_average_mari_xoiov Average vessel density (High speed craft) expressed as hours per square kilometre per month, extracted (Mediterranea and Black Sea part) from the EMODnet Human Activities - Vessel Density 2017 dataset. Original full dataset available from: https://www.emodnet-humanactivities.eu/search-results.php?dataname=Vessel+Density+ GeoTIFF EPSG:3035 CRS:84 -10.417085157053592 45.18659125208331 25.939822461599316 52.46724791485243 other other text/xml other other other other geonode:ais_data_on_average_mari_yrgvt Average vessel density (Unknown and all ship types) expressed as hours per square kilometre per month, extracted (Mediterranea and Black Sea part) from the EMODnet Human Activities - Vessel Density 2017 dataset. Original full dataset available from: https://www.emodnet-humanactivities.eu/search-results.php?dataname=Vessel+Density+ GeoTIFF EPSG:3035 CRS:84 -10.417085157053592 45.18659125208331 25.939822461599316 52.46724791485243 other other text/xml other other other other geonode:ais_data_on_maritime_tra_sigte Average vessel density (Passenger vessels) expressed as hours per square kilometre per month, extracted (Mediterranea and Black Sea part) from the EMODnet Human Activities - Vessel Density 2017 dataset. Original full dataset available from: https://www.emodnet-humanactivities.eu/search-results.php?dataname=Vessel+Density+ GeoTIFF EPSG:3035 CRS:84 -10.417085157053592 45.18659125208331 25.939822461599316 52.46724791485243 other other text/xml other other other other geonode:ais_fishing_effort_layer_fpqhx Mediterranean clip of the original data. The high resolution fishing effort layer for European trawlers in the period 2014 -2015 was derived from around 150 million AIS positions reports from EU fishing vessels above 15 m of length, operating in FAO areas 27, 34 and 37, in the period between October 2014 and September 2015. Each AIS message provides the position of the vessel, its speed and a timestamp, at intervals of five minutes. These messages were classified as either related to fishing or to steaming through a classification algorithm based on the analysis of individual vessels’ speed profiles. This classification approach proved to be sufficiently robust in the case of trawlers, that represent the majority of vessels above 15 m of length. The authors would like to thank MSSIS, courtesy of the Volpe Center of the U.S. Department of Transportation and the U.S. Navy, and MarineTraffic for providing the AIS data used in this study. https://data.jrc.ec.europa.eu/dataset/jrc-fad-ais1415 GeoTIFF WCS ais_fishing_effort_layer_fpqhx EPSG:4326 CRS:84 -5.779999999200562 44.080000000799444 21.900000000599633 46.70000000059964 other other text/xml other other other other geonode:albania_territorial_waters Territorial waters as defined by the 1982 United Nations Convention on the Law of the Sea is a belt 12 nautical miles from baseline of a coastal country. Data set contains spatial data of Albania country features EPSG:4326 CRS:84 19.0123607327423 20.0193721246658 39.6464235938849 41.8461030168598 other other text/xml other other other other geonode:anchorage_area Anchorage areas. The vectors data have been edited by Istituto Idrografico della Marina - Italy (Electronic Navigational Charts). Shape Projact Adriatic Atlas administrators have been authorized by IIM to processed ENC data for project purposes aza anchorage_area features EPSG:4326 CRS:84 12.3999491718703 12.4299797457324 44.5050407621754 44.5179475613974 other other text/xml other other other other geonode:anchorage_areas Anchorage areas. The vectors data have been edited by Istituto Idrografico della Marina - Italy (Electronic Navigational Charts). Shape Projact Adriatic Atlas administrators have been authorized by IIM to processed ENC data for project purposes. features EPSG:4326 CRS:84 12.3501339778926 18.519255 40.1706774999999 45.6834962 other other text/xml other other other other geonode:aqua0 features aqua EPSG:4326 CRS:84 20.011285 21.1344410180001 38.209023245 39.690854 geonode:aquaculture_areas Data related to aquaculture areas in Istria county according to Spatial Plan of the Istria county (2016.) aquaculture_areas features EPSG:31275 CRS:84 13.499821140046764 14.0803947527088 44.98759712108937 45.41509653746728 other other text/xml other other other other geonode:aquaculture_farms_in_the_oloch This layer represents the areas designated for aquaculture farms in the Ionian Sea. The entire area in Ionian Sea includes 8 areas for aquaculture development and 2 of them are within the spatial boundaries of the Greek part of FA2. aquaculture_farms_in_the_oloch features EPSG:3035 CRS:84 19.378517814710168 21.39108360542709 38.11794641048272 39.9054694841473 other other text/xml other other other other geonode:aquaculture_farms_mussel_wacjp This file contains vector data on aquaculture farms (mussels, other mollusks, finfish, seaweed) in the Bay of Boka Kotorska. aquaculture_farms_mussel_wacjp Montenegrin Adriatic Sea features EPSG:32634 CRS:84 18.650907768366523 18.768481800781018 42.393154636214796 42.5093551670432 other other text/xml other other other other geonode:architectural_heritage_pt Terrestrial and marine architectural heritage point locations in Croatia. features EPSG:4326 CRS:84 14.1408279030346 15.2094785361267 44.450669550387 45.6399357186999 other other text/xml other other other other geonode:area_of_occurrence_of_ma_kmyhx Locations of appearance of dolphins In the Bay of Boka, almost persistent presence. area_of_occurrence_of_ma_kmyhx Montenegrin Adriatic Sea features EPSG:32634 CRS:84 18.556957896560668 18.764033030200185 42.4125142263729 42.44053301203532 other other text/xml other other other other geonode:areas_of_respect_of_oil__jlale buffer around O&G terminals offshore Emilia-Romagna features EPSG:4326 CRS:84 12.3428022650909 12.5332048435148 44.4499920402106 44.4929791667475 other other text/xml other other other other geonode:areas_to_be_avoided_for__slhjn Position of regulatory floodway along Emilia-Romagna coastline, area forbidden for mussels and fishing farms. features EPSG:25833 CRS:84 12.171587157537283 12.744775391884678 43.95184438159081 44.70807115369171 other other text/xml other other other other geonode:areas_with_bottom_depth__vtxnz Areas with bottom depth greater than 500m - raster - WSG84 Areas with bottom depths greater than 500m in the Mediterranean Sea are considered as no-take zones due to the very low probability of a coastal vessel fishing or visiting these areas. GeoTIFF WCS areas_with_bottom_depth__vtxnz EPSG:4326 CRS:84 -16.25208333 41.777916669999996 25.002075194999996 55.002075195 other other text/xml other other other other geonode:aristaeomorpha_foliacea__iepca The map shows the area where recruits of Aristaeomorpha foliacea concentrate (nursery areas). Recruits were considered as those specimens that have settled on the bottom, becoming available to the fishing gear in well-defined habitats at the end of their larval—pelagic stage and which remain in these habitats before dispersing or migrating. Due to the lack of specific studies on the dispersal behaviour of juveniles, it was assumed that the first separable modal component of the age group 0 was composed of specimens recently settled on the bottom sharing similar habitat preferences. Nursery areas have been assessed in the framework of MAREA-MEDISEH Project through habitat suitability modeling, relating abundance information from surveys with environmental variables. aristaeomorpha_foliacea__iepca features EPSG:4326 CRS:84 14.14174652099 19.1337203979492 36.329230578665 42.1733589172363 other other text/xml other other other other geonode:aristaeomorpha_foliacea__rcozz The map shows the area where adults of giant red shrimp (Aristaeomorpha foliacea) concentrate (potential spawning areas). In the framework of MAREA-MEDISEH Project it was agreed to restrict modeling to the adult females fraction of the populations using the length-at-maturity calculated from MEDITS or landing data (DCF) as threshold length. Aggregation areas for adults have been assessed through habitat suitability modeling, relating abundance information from surveys with environmental variables. aristaeomorpha_foliacea__rcozz features EPSG:4326 CRS:84 14.1555596449964 19.110466003418 36.545238494873 42.1913948059082 other other text/xml other other other other geonode:aristeus_antennatus_blue_mmpfq The map shows the area where adults of Aristeus antennatus concentrate (potential spawning areas). In the framework of MAREA-MEDISEH Project it was agreed to restrict modeling to the adult females fraction of the populations using the length-at-maturity calculated from MEDITS or landing data (DCF) as threshold length. Aggregation areas for adults have been assessed through habitat suitability modeling, relating abundance information from surveys with environmental variables. aristeus_antennatus_blue_mmpfq features EPSG:4326 CRS:84 14.2082576751709 19.0988368988037 36.5753898620605 40.8299179077148 other other text/xml other other other other geonode:artificial_reefs Artificial reefs are human-made underwater structure, typically built to promote marine life. Generally they can be considered as protected marine sites and nursery zones.In many cases artificial reefs were built thanks to the Project DOCUP PESCA Measure 3.1 "Protection and development of aquatic resources". features EPSG:4258 CRS:84 12.3445390000123 12.7463970000155 43.9921019998802 44.7373739998751 other other text/xml other other other other geonode:bahing_waters_monitoring_coudd The EU Bathing Waters Directive requires Member States to identify popular bathing places in fresh and coastal waters and monitor them for indicators of microbiological pollution (and other substances) throughout the bathing season which runs from May to September . The data set presents the latest information as reported by the Member States (EU28) for the 2017 bathing season, as well as some historical data since 1990. features bahing_waters_monitoring_coudd EPSG:4258 CRS:84 7.42679071426392 29.7092113494873 34.8218612670898 45.838939666748 other other text/xml other other other other geonode:bathing_water_polygon Data set contains data on bathing waters monitoring network in Adriatic area. The EU Bathing Waters Directive requires Member States to monitor bathing places for indicators of microbiological pollution (and other substances) throughout the bathing season which runs from May to September. Present data contain information on bathing waters, locations and names, status of bathing waters for year 2011/2013 according to Directive 76/170/EEC and type of bathing water sampled (Directive 2006/7/EC). features EPSG:4326 CRS:84 12.23914 18.522606 39.787512 45.785124 other other text/xml other other other other geonode:bathing_waters_area Bathing waters are waters where a large number of people is expected to bathe, or bathing is carried out as direct use of bathing water, and bathing is not permanently banned or permanently discouraged. Bathing water is a body of surface water or a part thereof that meets the regulations in the field of protection against drowning. bathing_waters_area features EPSG:3912 CRS:84 13.564618716262691 13.734716306882564 45.50278775296418 45.59524517732827 other other text/xml other other other other geonode:bathymetry Bathymetry in meters around Kephalonia island - raster - WGS84 Bathymetric map comes from EMODNET http://www.emodnet-bathymetry.eu/ GeoTIFF WCS fe_ssf_new msf bathymetry EPSG:4326 CRS:84 20.2669892389832 21.5049808854221 37.9079004359109 38.9125002145786 other other text/xml other other other other geonode:biogeographical_regions The biogeographical regions dataset contains the official delineations used in the Habitats Directive (92/43/EEC) and for the EMERALD Network set up under the Convention on the Conservation of European Wildlife and Natural Habitats (Bern Convention) features EPSG:3035 CRS:84 -111.26896512135725 151.15854384714774 18.629155608404037 90.0 other other text/xml other other other other geonode:bioindikatori_hotspot The data set shows the spatial distribution pollution / extent to which the sea is endangered at hot spot locations from the aspect of bioindicators analysis. bioindikatori_hotspot features EPSG:32634 CRS:84 18.532008522419293 19.319319444442545 41.83902508889883 42.51439479937947 other other text/xml other other other other geonode:biological_conservation_zone Marine and Coastal areas to protect biological diversity, fishery resources and the marine-coastal ecosystem in general. aza features biological_conservation_zone EPSG:4326 CRS:84 12.2482334440796 12.712892 44.021169 44.843423 other other text/xml other other other other geonode:biological_protection_zone Marine protected areas relating to the protection of resources and livelihoods. In particular the Biologic protection zones (Zone di protezione biologica) have been created to act as a nursery and protection of fish species of commercial interest.. (Italy) features EPSG:4258 CRS:84 12.3359153670556 17.0940046932336 41.2771190900118 45.7530130033681 other other text/xml other other other other geonode:bokahabi Map of the habitats of the Boka Bay area represent spatial representations of the habitat types. features bokahabi EPSG:32634 CRS:84 18.501212075377985 18.77235852237685 42.38593821043857 42.51876931185688 other other text/xml other other other other geonode:boreholes The database on offshore hydrocarbon extraction boreholes in the EU was created in 2014 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources from all across the EU (plus Norway). It is updated every year, and is available for viewing and download on EMODnet - Human Activities web portal (www.emodnet-humanactivities.eu). The database contains points representing offshore hydrocarbon boreholes drilled in the following countries: Croatia, Cyprus, Denmark, Faroe Islands, France, Germany, Greece (only for western coast), Ireland, Italy, Latvia, Malta, Montenegro, Netherlands, Norway, Poland, Portugal, Spain, and UK. Each point has the following attributes (where available): status (active, abandoned, suspended, other), country, code, name, year (spud date), purpose (exploration, exploitation, other), content (crude oil, natural gas, crude oil and natural gas, dry, other), operator, drilling company/facility, distance to coast (metres) and water depth (metres). The distance to coast (EEA coastline shapefile) has been calculated using the original data map projections, where available. In the other cases it was used the UTM WGS84 Zone projected ccoordinate system where data fall in. Compared with the previous version this new version has been not only updated but was also reviewed (dataset schema and attributes values) in order to make it more compliant with INSPIRE. boreholes features EPSG:4326 CRS:84 -13.4025083 34.9286670000001 33.1839791670001 80.6825000000001 other other text/xml other other other other geonode:bottom_otter_trawl_effort Fishing - Spatial distribution of fishing activity both inshore and offshore - Bottom trawl effort - raster, WGS84 In the study area (around Kephalonia island), primary VMS data for the year 2014 ανδ fishing vessels larger than 12 meters in total length provided by the Hellenic Ministry of Mercantile Marine and Island Policy were used to estimate the fishing effort expressed in number of fishing days by gross tonnage (days at sea * GT). GeoTIFF EPSG:4326 CRS:84 20.2669892389832 21.5049808854221 37.9079004359109 38.9125002145786 other other text/xml other other other other geonode:cables Cables around Kephalonia island -Shapefile - WGS84 HCMR cables features EPSG:4326 CRS:84 20.542880543 21.407416273 37.9153561100001 38.708171516 other other text/xml other other other other geonode:caretta_caretta_predicte_sghkc Density Surface predicted distribution of sea turtles (mostly loggerhead turtles Caretta caretta) in the Adriatic Sea based on 2010 and 2013 aerial surveys data (darker red scale indicates higher relative density, expressed in animals/100km2: 60.1 - 133.9 dark red 40.1 - 60 red 20.1 - 40 light red 0.1 - 20 white 0 gray ). Geospatial data from Fig 2 ( https://www.frontiersin.org/files/Articles/409244/fmars-05-00356-HTML/image_m/fmars-05-00356-g002.jpg ) of Fortuna CM, Cañadas A, Holcer D, Brecciaroli B, Donovan GP, Lazar B, Mo G, Tunesi L and Mackelworth PC (2018) The Coherence of the European Union Marine Natura 2000 Network for Wide-Ranging Charismatic Species: A Mediterranean Case Study. Front. Mar. Sci. 5:356. doi: 10.3389/fmars.2018.0035 https://www.frontiersin.org/articles/10.3389/fmars.2018.00356/full features EPSG:3035 CRS:84 12.099948546735874 20.350057283431646 40.010191146971444 45.85787663809205 other other text/xml other other other other geonode:cea_CEASCORE No abstract provided GeoTIFF WCS cea_CEASCORE EPSG:3035 CRS:84 20.25350685365738 21.593949841971824 37.86932046503019 38.92024278035881 other other text/xml other other other other geonode:ceafinal Map Cumulative effects of aquaculture, fisheries and tourism on major ecosystem components and identify and map the spatial conflicts between human uses in the case study area. GeoTIFF WCS EPSG:3035 CRS:84 20.25350685365738 21.593949841971824 37.86932046503019 38.92024278035881 other other text/xml other other other other geonode:chlorophyl No abstract provided. GeoTIFF WCS fe_ssf_new chlorophyl msf EPSG:4326 CRS:84 20.2669892389832 21.5049808854221 37.9079004359109 38.9125002145786 other other text/xml other other other other geonode:chlorophyll_a_around_kep_trchj Maps of Chlorophyll-a - raster - WGS84 Sea Surface Chlorophyll (Chl-a in mg/m3) seasonal pattern indicated that the study area can be generally considered mesotrophic. The estimation of this environmental criterion was based on the most recent four-year average concentration of Chl-a in the study area. In the study area, satellite imagery for years 2008 to 2011 has been used for this estimation, at a spatial resolution of 4 km. GeoTIFF WCS chlorophyll_a_around_kep_trchj EPSG:4326 CRS:84 20.2669892389832 21.5049808854221 37.9079004359109 38.9125002145786 other other text/xml other other other other geonode:chlorophyll_a_mediterran_uttxt Map of Chlorophyll-a - raster - WGS84 Surface Chl-a for the Mediterranean Sea averaged during 2002- 2014. Data source: https://oceancolor.gsfc.nasa.gov/ GeoTIFF EPSG:4326 CRS:84 -16.25208333 41.777916669999996 25.002075194999996 55.002075195 other other text/xml other other other other geonode:coast Croatian coastal habitats as a part of the Croatian habitat map air_italian_coastline features EPSG:3765 CRS:84 13.489007526020153 18.64382418633858 42.374387600177926 45.54267226927628 other other text/xml other other other other geonode:coastLine3 No abstract provided msf fe_ssf_new coastLine features EPSG:4326 CRS:84 19.3733243103501 29.6452965216001 34.8009127082501 41.7494201375001 other other text/xml other other other other geonode:coast_dist No abstract provided GeoTIFF WCS coast_dist fe_ssf_new msf EPSG:4326 CRS:84 20.2669892389832 21.5049808854221 37.9079004359109 38.9125002145786 other other text/xml other other other other geonode:coastal_and_marine_monit_njgdj Tidal and waves network features coastal_and_marine_monit_njgdj EPSG:4258 CRS:84 12.2892555555556 18.4971916666667 40.14725000093 45.6496027787207 other other text/xml other other other other geonode:coastal_defence_2018_emi_wdqdb Mapping of defense works on the basis of AGEA Flight 2014. The images used are orthorectified on the basis of CTR 1: 5000, updated on the basis of AGEA Flight 2017. features EPSG:5659 CRS:84 12.173561346011017 12.810359229869427 43.964479195037555 44.85073849571037 other other other other text/xml other other geonode:coastal_morphology_class_xotze This layer represent the morphology of the coast according to the classification proposed by Stevens et al., 2005. features EPSG:4326 CRS:84 12.1519715793251 19.6097866937011 39.7896228530124 45.785125496045 other other text/xml other other other other geonode:coastal_vulnerability_to_cwzjb It represent the vulnerability of the shore in case of oil spill disaster. It is a combination of environmental vulnerability and human vulnerability. This layer is the combination of environmental and anthropic vulnerabilities for oil spill risk, as in Stevens et al., 2005. coastal_vulnerability_to_cwzjb features EPSG:4326 CRS:84 12.1519715793251 19.6097866937011 39.7896228530124 45.785125496045 other other text/xml other other other other geonode:coastal_vulnerability_to_cwzjb0 No abstract provided coastal_vulnerability_to_cwzjb features EPSG:4326 CRS:84 12.1519715793251 19.6097866937011 39.7896228530124 45.785125496045 other other text/xml other other other other geonode:coastline1 Coastline data represents the boundary of the sea and the length of the coast of BiH. The coastline of BiH is 21.2 km, maritime borders are between Croatia and Bosnia and Herzegovina. Bosnia and Herzegovina’s territorial sea is limited and completely enclosed by Croatian internal waters. coastline1 features BiH Adriatic Sea BiH terrestrial area EPSG:31276 CRS:84 17.545273576361474 17.65061670865682 42.88483630737066 42.93935077948474 other other text/xml other other other other geonode:coastline_2014_emilia_ro_iypxh The shoreline represents the physical interface of land and water (Dolan et al. 1991; Moore 2000); it has been mapped through photointerpretation of aerial images and been identified with the limit between dry and wet sand features EPSG:5659 CRS:84 12.200974441644881 12.805649889267672 43.96781453274585 44.84533494632837 other other text/xml other other other other geonode:comadex_sum_01_2019 This layer contains the cumulative value of COMADEX index alerts registered for each cell during the month; January 2019. The HAZADR project (IPA Adriatic cross border hazadr.eu) has developed a system able to estimate the potential coastal risks associated to the presence of dangerous ship (such as oil-tankers) in the Adriatic. The ship profile is synthesized by an index named COMADEX (COastal MArche region Dangerousness EXposure). It is obtained from the analysis and the evaluation the following parmaters: 1 - Type of ship 2 - Gross tonnage 3 - Year launched 4 - Flag 5 - Register 6 - Wind (Beaoufort Scale) 7 - Waves height (Douglas Scale) The combination created from COMADEX index, Douglas and Beaufort scales, allows the system to process the ranking of the ships. If a ship has a COMADEX index > 45, on the screen it is always red; if COMADEX score is > 35 – ≤ 45 and, in the same times, Douglas score is ≥ 7 and Beaufort score is ≥ 9, the ship appears red. In the other cases the ship appears yellow or green. References: https://www.hazadr.eu/imgsect/Hazadr_pubblication_L.pdf page 24-25 GeoTIFF WCS comadex_sum_01_2019 EPSG:3857 CRS:84 11.053769571090713 21.114900753229353 37.93678855390176 47.05159647103673 other other text/xml other other other other geonode:comadex_sum_02_2019 This layer contains the cumulative value of COMADEX index alerts registered for each cell during the month February 2019. The HAZADR project (IPA Adriatic cross border hazadr.eu) has developed a system able to estimate the potential coastal risks associated to the presence of dangerous ship (such as oil-tankers) in the Adriatic. The ship profile is synthesized by an index named COMADEX (COastal MArche region Dangerousness EXposure). It is obtained from the analysis and the evaluation the following parmaters: 1 - Type of ship 2 - Gross tonnage 3 - Year launched 4 - Flag 5 - Register 6 - Wind (Beaoufort Scale) 7 - Waves height (Douglas Scale) The combination created from COMADEX index, Douglas and Beaufort scales, allows the system to process the ranking of the ships. If a ship has a COMADEX index > 45, on the screen it is always red; if COMADEX score is > 35 – ≤ 45 and, in the same times, Douglas score is ≥ 7 and Beaufort score is ≥ 9, the ship appears red. In the other cases the ship appears yellow or green. References: https://www.hazadr.eu/imgsect/Hazadr_pubblication_L.pdf page 24-25 GeoTIFF WCS comadex_sum_02_2019 EPSG:3857 CRS:84 11.053769571090713 21.114900753229353 37.93678855390176 47.05159647103673 other other text/xml other other other other geonode:comadex_sum_03_2019 This layer contains the cumulative value of COMADEX index alerts registered for each cell during the month March 2019. The HAZADR project (IPA Adriatic cross border hazadr.eu) has developed a system able to estimate the potential coastal risks associated to the presence of dangerous ship (such as oil-tankers) in the Adriatic. The ship profile is synthesized by an index named COMADEX (COastal MArche region Dangerousness EXposure). It is obtained from the analysis and the evaluation the following parmaters: 1 - Type of ship 2 - Gross tonnage 3 - Year launched 4 - Flag 5 - Register 6 - Wind (Beaoufort Scale) 7 - Waves height (Douglas Scale) The combination created from COMADEX index, Douglas and Beaufort scales, allows the system to process the ranking of the ships. If a ship has a COMADEX index > 45, on the screen it is always red; if COMADEX score is > 35 – ≤ 45 and, in the same times, Douglas score is ≥ 7 and Beaufort score is ≥ 9, the ship appears red. In the other cases the ship appears yellow or green. References: https://www.hazadr.eu/imgsect/Hazadr_pubblication_L.pdf page 24-25 GeoTIFF WCS comadex_sum_03_2019 EPSG:3857 CRS:84 11.053769571090713 21.114900753229353 37.93678855390176 47.05159647103673 other other text/xml other other other other geonode:comadex_sum_04_2019 This layer contains the cumulative value of COMADEX index alerts registered for each cell during the month April 2019. The HAZADR project (IPA Adriatic cross border hazadr.eu) has developed a system able to estimate the potential coastal risks associated to the presence of dangerous ship (such as oil-tankers) in the Adriatic. The ship profile is synthesized by an index named COMADEX (COastal MArche region Dangerousness EXposure). It is obtained from the analysis and the evaluation the following parmaters: 1 - Type of ship 2 - Gross tonnage 3 - Year launched 4 - Flag 5 - Register 6 - Wind (Beaoufort Scale) 7 - Waves height (Douglas Scale) The combination created from COMADEX index, Douglas and Beaufort scales, allows the system to process the ranking of the ships. If a ship has a COMADEX index > 45, on the screen it is always red; if COMADEX score is > 35 – ≤ 45 and, in the same times, Douglas score is ≥ 7 and Beaufort score is ≥ 9, the ship appears red. In the other cases the ship appears yellow or green. References: https://www.hazadr.eu/imgsect/Hazadr_pubblication_L.pdf page 24-25 GeoTIFF comadex_sum_04_2019 WCS EPSG:3857 CRS:84 11.053769571090713 21.114900753229353 37.93678855390176 47.05159647103673 other other text/xml other other other other geonode:comadex_sum_05_2019 No abstract provided comadex_sum_05_2019 WCS GeoTIFF EPSG:3857 CRS:84 11.053769571090713 21.114900753229353 37.93678855390176 47.05159647103673 other other text/xml other other other other geonode:comadex_sum_06_2019 This layer contains the cumulative value of COMADEX index alerts registered for each cell during the month June 2019. The HAZADR project (IPA Adriatic cross border hazadr.eu) has developed a system able to estimate the potential coastal risks associated to the presence of dangerous ship (such as oil-tankers) in the Adriatic. The ship profile is synthesized by an index named COMADEX (COastal MArche region Dangerousness EXposure). It is obtained from the analysis and the evaluation the following parmaters: 1 - Type of ship 2 - Gross tonnage 3 - Year launched 4 - Flag 5 - Register 6 - Wind (Beaoufort Scale) 7 - Waves height (Douglas Scale) The combination created from COMADEX index, Douglas and Beaufort scales, allows the system to process the ranking of the ships. If a ship has a COMADEX index > 45, on the screen it is always red; if COMADEX score is > 35 – ≤ 45 and, in the same times, Douglas score is ≥ 7 and Beaufort score is ≥ 9, the ship appears red. In the other cases the ship appears yellow or green. References: https://www.hazadr.eu/imgsect/Hazadr_pubblication_L.pdf page 24-25 comadex_sum_06_2019 GeoTIFF WCS EPSG:3857 CRS:84 11.053769571090713 21.114900753229353 37.93678855390176 47.05159647103673 other other text/xml other other other other geonode:comadex_sum_07_2019 This layer contains the cumulative value of COMADEX index alerts registered for each cell during the month July 2019. The HAZADR project (IPA Adriatic cross border hazadr.eu) has developed a system able to estimate the potential coastal risks associated to the presence of dangerous ship (such as oil-tankers) in the Adriatic. The ship profile is synthesized by an index named COMADEX (COastal MArche region Dangerousness EXposure). It is obtained from the analysis and the evaluation the following parmaters: 1 - Type of ship 2 - Gross tonnage 3 - Year launched 4 - Flag 5 - Register 6 - Wind (Beaoufort Scale) 7 - Waves height (Douglas Scale) The combination created from COMADEX index, Douglas and Beaufort scales, allows the system to process the ranking of the ships. If a ship has a COMADEX index > 45, on the screen it is always red; if COMADEX score is > 35 – ≤ 45 and, in the same times, Douglas score is ≥ 7 and Beaufort score is ≥ 9, the ship appears red. In the other cases the ship appears yellow or green. References: https://www.hazadr.eu/imgsect/Hazadr_pubblication_L.pdf page 24-25 GeoTIFF WCS comadex_sum_07_2019 EPSG:3857 CRS:84 11.053769571090713 21.114900753229353 37.93678855390176 47.05159647103673 other other text/xml other other other other geonode:comadex_sum_08_2019 This layer contains the cumulative value of COMADEX index alerts registered for each cell during the month August 2019. The HAZADR project (IPA Adriatic cross border hazadr.eu) has developed a system able to estimate the potential coastal risks associated to the presence of dangerous ship (such as oil-tankers) in the Adriatic. The ship profile is synthesized by an index named COMADEX (COastal MArche region Dangerousness EXposure). It is obtained from the analysis and the evaluation the following parmaters: 1 - Type of ship 2 - Gross tonnage 3 - Year launched 4 - Flag 5 - Register 6 - Wind (Beaoufort Scale) 7 - Waves height (Douglas Scale) The combination created from COMADEX index, Douglas and Beaufort scales, allows the system to process the ranking of the ships. If a ship has a COMADEX index > 45, on the screen it is always red; if COMADEX score is > 35 – ≤ 45 and, in the same times, Douglas score is ≥ 7 and Beaufort score is ≥ 9, the ship appears red. In the other cases the ship appears yellow or green. References: https://www.hazadr.eu/imgsect/Hazadr_pubblication_L.pdf page 24-25 GeoTIFF WCS comadex_sum_08_2019 EPSG:3857 CRS:84 11.053769571090713 21.114900753229353 37.93678855390176 47.05159647103673 other other text/xml other other other other geonode:comadex_sum_09_2019 This layer contains the cumulative value of COMADEX index alerts registered for each cell during the month September 2019. The HAZADR project (IPA Adriatic cross border hazadr.eu) has developed a system able to estimate the potential coastal risks associated to the presence of dangerous ship (such as oil-tankers) in the Adriatic. The ship profile is synthesized by an index named COMADEX (COastal MArche region Dangerousness EXposure). It is obtained from the analysis and the evaluation the following parmaters: 1 - Type of ship 2 - Gross tonnage 3 - Year launched 4 - Flag 5 - Register 6 - Wind (Beaoufort Scale) 7 - Waves height (Douglas Scale) The combination created from COMADEX index, Douglas and Beaufort scales, allows the system to process the ranking of the ships. If a ship has a COMADEX index > 45, on the screen it is always red; if COMADEX score is > 35 – ≤ 45 and, in the same times, Douglas score is ≥ 7 and Beaufort score is ≥ 9, the ship appears red. In the other cases the ship appears yellow or green. References: https://www.hazadr.eu/imgsect/Hazadr_pubblication_L.pdf page 24-25 GeoTIFF WCS comadex_sum_09_2019 EPSG:3857 CRS:84 11.053769571090713 21.114900753229353 37.93678855390176 47.05159647103673 other other text/xml other other other other geonode:comadex_sum_10_2019 This layer contains the cumulative value of COMADEX index alerts registered for each cell during the month October 2019. The HAZADR project (IPA Adriatic cross border hazadr.eu) has developed a system able to estimate the potential coastal risks associated to the presence of dangerous ship (such as oil-tankers) in the Adriatic. The ship profile is synthesized by an index named COMADEX (COastal MArche region Dangerousness EXposure). It is obtained from the analysis and the evaluation the following parmaters: 1 - Type of ship 2 - Gross tonnage 3 - Year launched 4 - Flag 5 - Register 6 - Wind (Beaoufort Scale) 7 - Waves height (Douglas Scale) The combination created from COMADEX index, Douglas and Beaufort scales, allows the system to process the ranking of the ships. If a ship has a COMADEX index > 45, on the screen it is always red; if COMADEX score is > 35 – ≤ 45 and, in the same times, Douglas score is ≥ 7 and Beaufort score is ≥ 9, the ship appears red. In the other cases the ship appears yellow or green. References: https://www.hazadr.eu/imgsect/Hazadr_pubblication_L.pdf page 24-25 GeoTIFF WCS comadex_sum_10_2019 EPSG:3857 CRS:84 11.053769571090713 21.114900753229353 37.93678855390176 47.05159647103673 other other text/xml other other other other geonode:comadex_sum_11_2019 This layer contains the cumulative value of COMADEX index alerts registered for each cell during the month November 2019. The HAZADR project (IPA Adriatic cross border hazadr.eu) has developed a system able to estimate the potential coastal risks associated to the presence of dangerous ship (such as oil-tankers) in the Adriatic. The ship profile is synthesized by an index named COMADEX (COastal MArche region Dangerousness EXposure). It is obtained from the analysis and the evaluation the following parmaters: 1 - Type of ship 2 - Gross tonnage 3 - Year launched 4 - Flag 5 - Register 6 - Wind (Beaoufort Scale) 7 - Waves height (Douglas Scale) The combination created from COMADEX index, Douglas and Beaufort scales, allows the system to process the ranking of the ships. If a ship has a COMADEX index > 45, on the screen it is always red; if COMADEX score is > 35 – ≤ 45 and, in the same times, Douglas score is ≥ 7 and Beaufort score is ≥ 9, the ship appears red. In the other cases the ship appears yellow or green. References: https://www.hazadr.eu/imgsect/Hazadr_pubblication_L.pdf page 24-25 comadex_sum_11_2019 GeoTIFF WCS EPSG:3857 CRS:84 11.053769571090713 21.114900753229353 37.93678855390176 47.05159647103673 other other text/xml other other other other geonode:comadex_sum_12_2019 This layer contains the cumulative value of COMADEX index alerts registered for each cell during the month December 2019. The HAZADR project (IPA Adriatic cross border hazadr.eu) has developed a system able to estimate the potential coastal risks associated to the presence of dangerous ship (such as oil-tankers) in the Adriatic. The ship profile is synthesized by an index named COMADEX (COastal MArche region Dangerousness EXposure). It is obtained from the analysis and the evaluation the following parmaters: 1 - Type of ship 2 - Gross tonnage 3 - Year launched 4 - Flag 5 - Register 6 - Wind (Beaoufort Scale) 7 - Waves height (Douglas Scale) The combination created from COMADEX index, Douglas and Beaufort scales, allows the system to process the ranking of the ships. If a ship has a COMADEX index > 45, on the screen it is always red; if COMADEX score is > 35 – ≤ 45 and, in the same times, Douglas score is ≥ 7 and Beaufort score is ≥ 9, the ship appears red. In the other cases the ship appears yellow or green. References: https://www.hazadr.eu/imgsect/Hazadr_pubblication_L.pdf page 24-25 comadex_sum_12_2019 WCS GeoTIFF EPSG:3857 CRS:84 11.053769571090713 21.114900753229353 37.93678855390176 47.05159647103673 other other text/xml other other other other geonode:constraints No abstract provided features constraints EPSG:4326 CRS:84 20.4349342701406 21.4187171169046 37.9336436782746 38.8749937715946 other other text/xml other other other other geonode:constraints2 No abstract provided constraints2 features EPSG:4326 CRS:84 20.366686644 21.4933451950001 37.924508615 38.8906994810001 other other text/xml other other other other geonode:continental_platform_of__inlnp Data provides information on continental shelf of Montenegro. continental_platform_of__inlnp Montenegrin Adriatic Sea features EPSG:4326 CRS:84 18.031417 19.260978 41.500324 42.216533 other other text/xml other other other other geonode:cruiseports_italy2015 GIS data on Italian Cruise ports with cruise vessels traffic data (in unit and gross tonnage thousands) for 2015. Original data is reported quarterly by EUROSTAT, but has been aggregated on an annual basis by EMODnet Human Activities (Full information and download here: http://www.emodnet-humanactivities.eu/search-results.php?dataname=Main+Ports ). features EPSG:4258 CRS:84 8.309082031 17.977206 35.49432373 45.794311523 other other text/xml other other other other geonode:cultural_heritage Cultural heritage areas - Apulia region and Croatia features EPSG:4326 CRS:84 13.481277452399 18.5110217600594 39.7911277674406 45.5007505880309 other other text/xml other other other other geonode:danger_zones Firing danger area (training zone) according to the prefaction of the notice to Mariners (PREMESSA AGLI AVVISI AI NAVIGANTI 2013 istituto Idrografico della Marina Militare). features EPSG:4258 CRS:84 12.25 19.0000000000001 38.8833333333333 44.7 other other text/xml other other other other geonode:database_of_the_differen_irfyj Database of the different lithologies that emerge in the Veneto Region territory, containing a generic description of the same. Scale 1:250.000 features EPSG:3003 CRS:84 10.605866745939707 13.178080472335788 44.77123841557084 46.72218091792177 other other text/xml other other other other geonode:delphinus0 Delphinus delphis - shapefile - WGS84 HCMR delphinus features EPSG:4326 CRS:84 20.5415899560001 21.1232341750001 38.4181279210001 38.806185536 other other text/xml other other other other geonode:distance_between_centroi_hshfy The distance from ports was estimated in km and mapped in order to be used as criterion within the Spatial Multi-Criteria Evaluation process for the aquaculture suitability evaluation. The grid was extracted from the pixel centroid of the satellite Sea Surface Temperature (SST) data at a spatial resolution of 1km2 (CMEMS). GeoTIFF EPSG:4326 CRS:84 12.2750009633117 12.925000966688321 43.975001003299 44.791667674208085 other other text/xml other other other other geonode:distance_between_centroi_mdund The distance from ports was estimated in km and mapped in order to be used as criterion within the Spatial Multi-Criteria Evaluation process for the aquaculture suitability evaluation. The grid was extracted from the pixel centroid of the satellite Sea Surface Temperature (SST) data at a spatial resolution of 1km2 (CMEMS - SST_MED_SST_L4_NRT_OBSERVATIONS_010_004). GeoTIFF casestudies EPSG:4326 CRS:84 13.391669593 13.733336123 45.491667739 45.633334349 other other text/xml other other other other geonode:distance_between_centroi_yatpt The distance from ports was estimated in km and mapped in order to be used as criterion within the Spatial Multi-Criteria Evaluation process for the aquaculture suitability evaluation. The grid was extracted from the pixel centroid of the satellite Sea Surface Temperature (SST) data at a spatial resolution of 1km2 (CMEMES - SST_MED_SST_L4_NRT_OBSERVATIONS_010_004). distance_between_centroi_yatpt GeoTIFF WCS EPSG:4326 CRS:84 19.358336258 23.225002925 36.716667684 40.008334351 other other text/xml other other other other geonode:distance_between_centroi_zpsop The distance from ports was estimated in km and mapped in order to be used as criterion within the Spatial Multi-Criteria Evaluation process for the aquaculture suitability evaluation. The grid was extracted from the pixel centroid of the satellite Sea Surface Temperature (SST) data at a spatial resolution of 1km2 (CMEMES - SST_MED_SST_L4_NRT_OBSERVATIONS_010_004). GeoTIFF distance_between_centroi_zpsop WCS EPSG:4326 CRS:84 12.158833335 18.575497435 39.724833335 45.766497585 other other text/xml other other other other geonode:distance_from_coast_arou_bhkfw Distance from the coast is calculated in nautical miles and expressed as the minimum distance of each fishing rectangle’s centroid to the nearest coastline (estimated by ARCGIS proximity tool “near”). The distance from coast criterion mainly expresses the capacity of the coastal fishing fleet segments to carry out activities far from the coast. distance_from_coast_arou_bhkfw GeoTIFF WCS EPSG:4326 CRS:84 20.2669892389832 21.5049808854221 37.9079004359109 38.9125002145786 other other text/xml other other other other geonode:distance_from_coast_medi_xcjee Distance from coast - raster - WWGS84 Distance from the coast is calculated in nautical miles and expressed as the minimum distance of each fishing rectangle’s centroid to the nearest coastline (estimated by ARCGIS proximity tool “near”). The distance from coast criterion mainly expresses the capacity of the coastal fishing fleet segments to carry out activities far from the coast. GeoTIFF WCS distance_from_coast_medi_xcjee EPSG:4326 CRS:84 -5.77510455 41.58489545 30.268120044 47.298120044 other other text/xml other other other other geonode:division_Croatia_sea Internal waters of the Republic of Croatia include ports and bays on coast and islands, and also parts of sea between low waterline at the coast and the straight baseline for measuring width of territorial waters. The territorial sea is determined in the width of 12 miles from a straight baseline. Agreed boundaries at sea with Italy and Montenegro. Boundaries at sea with BIH are in provisional application. Full delimitation of boundaries at sea with Slovenia is still pending. division_Croatia_sea features EPSG:3765 CRS:84 12.972822171101006 18.65434674153249 41.580365388280484 45.62382532147769 other other text/xml other other other other geonode:dolphins_appearance No abstract provided features dolphins_appearance EPSG:32634 CRS:84 18.556957896560668 18.764033030200185 42.4125142263729 42.44053301203532 other other text/xml other other other other geonode:drb_evf_1 Boat dredge (DRB) "Draghe idrauliche" (swept area - km2) from AIS 2015. From CNR IRBIM ANCONA SUPREME Project North Adriatic Case study ( http://www.msp-supreme.eu/files/c-1-3-8-north-adriatic.pdf ) fisheries EPSG:4326 CRS:84 12.2429170000001 13.804444 43.9695000000003 45.7945560000001 other other text/xml other other other other geonode:dredge_spoil_dumping_points Shapes about dumping sites show features defined as either polygons and points in Baltic Sea, North Sea, Celtic Seas, Iberian Coast and Bay of Biscay, Macaronesia and Mediterranean Sea. Information was picked form different sources depending on the country. dredge_spoil_dumping_points features EPSG:4326 CRS:84 -28.6499999993149 30.2031019993149 35.3070000097892 70.9935599984957 other other text/xml other other other other geonode:dredging The geodatabase on dredging in the EU was created in 2014 by AZTI-Tecnalia for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources from all across the EU. It is available for viewing and download on EMODnet - Human Activities web portal (www.emodnet-humanactivities.eu). The database contains points representing dredging sites in the following countries: Belgium, Bulgaria, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Latvia, Lithuania, Malta, Norway, Poland, Portugal, Spain, Sweden, The Netherlands and United Kingdom. Where available, each point has the following attributes: Id (Identifier), Position Information (e.g.: Estimated, Original, Polygon centroid of dredging area, Polygon centroid of dredging polygon), Country, Sea basin, Extraction Area, Year, Permitted Amount (m3), Permitted Amount (t), Extracted Amount (m3), Extracted Amount (t), Extraction Type (e.g.: Harbour dredging, Estuary dredging, Sea lane), Purpose (e.g.: Maintenance dredging, Capital dredging, Others), End Use (e.g.: Beach nourishment, Commercialization, Confined deposit, Construction material, Embankment, Filling material, Land deposit, Reuse, Sea disposal, Wetland restoration), Material type (e.g.: silt, sand, gravel), Notes, Link to Web Sources. dredging features EPSG:4326 CRS:84 -25.661396 33.020172 28.074418 66.457517 other other text/xml other other other other geonode:dumpammunitionpoints Forbidden points to fishery and/or navigation because of dumped ammunition (see attributes) From "Premessa Avviso ai Naviganti 2018" features EPSG:4326 CRS:84 12.3477833333333 13.379 43.97065 45.66683 other other text/xml other other other other geonode:dumping_site Shape file combines data on dumping sites,disposal site and dumping ground, provided by European Environmental Agency with official data from Shape partners and data from nautical charts (IIM). Slovenian Environmental Agency (ARSO), Republic of Croatia Istrian Region and data provided by ECAT Tirana, Albania. Vector data have been provided by Shape project partners. "Shape Adriatic Atlas" administrators have harmonized all the data and their attributes in a unique layer covering the entire adriatic coast. features EPSG:4258 CRS:84 9.80929487289031 20.2090519404143 40.4186160214521 46.4007401265462 other other text/xml other other other other geonode:ebsa_ecologically_or_bio_jzfnz The EBSAs are special areas in the ocean that serve important purposes to support the healthy functioning of oceans and the many services that it provides. Scientific criteria for identifying EBSAs where defined in the ninth meeting of the Conference of the Parties to the Convention on Biological Diversity (COP 9): (1) Uniqueness or Rarity, (2) Special importance for life history stages of species, (3) Importance for threatened, endangered or declining species and/or habitats (4) Vulnerability, Fragility, Sensitivity, or Slow recovery, (5) Biological Productivity, (6) Biological Diversity (7) Naturalness. Please cite the dataset as follows: MAPAMED, the database on Sites of interest for the conservation of marine environment in the Mediterranean Sea. MedPAN, UNEP/MAP/RAC-SPA. May 2016 release. ebsa_ecologically_or_bio_jzfnz features EPSG:4326 CRS:84 12.2982128616775 19.4949642640474 39.0920361913854 45.7716777051376 other other text/xml other other other other geonode:ecoImportantAreas_Slovenia The data series shows the spatial distribution of areas classified as ecologically important areas in Slovenia, which were adopted by the Decree on ecologically important areas (Official Gazette of RS, no. 48/04, 33/13, 99/13 and 47/18). Ecologically important area is the Nature Conservation Act habitat type area, part of a habitat type or larger ecosystem units, which significantly contributes to the conservation of biodiversity. ecoImportantAreas_Slovenia features EPSG:4326 CRS:84 13.3844674559852 14.1011683581011 45.4250850865854 45.8875564630122 other other text/xml other other other other geonode:eea_coastline_polyline_a_ksaji The EEA coastline dataset has been created for detailed analysis (e.g.:1/100000) for geographical Europe. The coastline is a hybrid product obtained from satellite imagery from two projects: EUHYDRO (Pan-European hydrographic and drainage database) and GSHHG (A Global Self-consistent, Hierarchical, High-resolution Geography Database), as well as some manual amendments to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. In 2015, several corrections were made in the Kalogeroi Islands and two other Greek little islets, as well as in the peninsula of Porkkala. In this revision from 2017, two big lagoons have been removed from Baltic region, because, according to HELCOM, are freshwater lagoons. features EPSG:3035 CRS:84 -77.69134834593771 97.15737766824334 13.412478638574834 84.86107132787043 other other text/xml other other other other geonode:eledone_cirrhosa_horned__nhorw The map shows the area where adults of Eledone cirrhosa concentrate (potential spawning areas). In the framework of MAREA-MEDISEH Project it was agreed to restrict modeling to the adult females fraction of the populations using the length-at-maturity calculated from MEDITS or landing data (DCF) as threshold length. Aggregation areas for adults have been assessed through habitat suitability modeling, relating abundance information from surveys with environmental variables. eledone_cirrhosa_horned__nhorw features EPSG:4326 CRS:84 14.3417158126831 19.3662796020508 36.6938171386719 43.6036109924316 other other text/xml other other other other geonode:eledone_cirrhosa_horned__posts The map shows the area where recruits of Eledone cirrhosa concentrate (nursery areas). Recruits were considered as those specimens that have settled on the bottom, becoming available to the fishing gear in well-defined habitats at the end of their larval—pelagic stage and which remain in these habitats before dispersing or migrating. Due to the lack of specific studies on the dispersal behaviour of juveniles, it was assumed that the first separable modal component of the age group 0 was composed of specimens recently settled on the bottom sharing similar habitat preferences. Nursery areas have been assessed in the framework of MAREA-MEDISEH Project through habitat suitability modeling, relating abundance information from surveys with environmental variables. eledone_cirrhosa_horned__posts features EPSG:4326 CRS:84 14.0943145751953 19.4244194030762 37.4690780639648 43.645263671875 other other text/xml other other other other geonode:emodnet_habitat_map_from_cyuts Individual habitat maps from surveys provided by EMODNet Seabed Habitats. The map focus on Posidonia distribution. features emodnet_habitat_map_from_cyuts EPSG:3857 CRS:84 13.820585261000073 17.213811945 37.89899212000004 41.14764575700003 other other text/xml other other other other geonode:emodnet_habitat_map_from_ichmp Individual habitat maps from surveys provided by EMODNet Seabed Habitats with the distribution of the bioconstruction along the Apulian coasts are not well known and, in some areas, totally unknown. This is particularly evident for the Coralligenous assemblages. Furthermore, a regional scale georeferenced cartography is not yet available and the knowledge of the cliffs is really poor. The aim of the Biomap project, started in 2013, is to fill this gap by providing an effective cartography tool for the evaluation of the already instituted Sites of Conservation Interest (SCIs). High resolution acoustic data (MBES multibeam echosounder), seismic profiles (Chirp sonar and sub-bottom profiler) and ROV images were acquired for the habitat mapping within 3 MPAs and 21 SCIs up to 100m depth. Furthermore, data acquired outside the above mentioned protected areas were used in specific deeper zones (up to 700m depth). features emodnet_habitat_map_from_ichmp EPSG:4326 CRS:84 15.46788138 18.543982557 39.5160171380001 42.14225334 other other text/xml other other other other geonode:emodnet_habitat_map_from_vgfej Individual habitat maps from surveys provided by EMODNet Seabed Habitats. The map focus on Posidonia distribution. emodnet_habitat_map_from_vgfej features EPSG:3857 CRS:84 11.917309246000082 15.660382498000057 35.47736429600004 38.81436704800004 other other text/xml other other other other geonode:emodnet_human_activities_dzcdq Average vessel density (all types of vessel) expressed as hours per square kilometre per month, extracted (Mediterranea Sea part) from the EMODnet Human Activities - Vessel Density 2017 dataset. Original full dataset available from: https://www.emodnet-humanactivities.eu/search-results.php?dataname=Vessel+Density+ GeoTIFF WCS emodnet_human_activities_dzcdq EPSG:3035 CRS:84 -9.724962494760373 48.76862727717659 22.144975139860332 49.489200185958836 other other text/xml other other other other geonode:engraulis_encrasicolus_e_eptix Data from Mediterranean Sensitive Habitats (MEDISEH) project. Acoustic surveys data were used for the identification and the modeling of nursery grounds of European anchovy (Engraulis encrasicolus). The application of habitat suitability modeling techniques with the use of environmental data were carried out in order to obtain potential nursery grounds of anchovy. engraulis_encrasicolus_e_eptix features EPSG:4326 CRS:84 12.2267416052246 22.7351063279488 36.0939056960603 45.7052579943848 other other text/xml other other other other geonode:engraulis_encrasicolus_e_ndomf Data from Mediterranean Sensitive Habitats (MEDISEH) project. The map shows the area where spawners of European anchovy (Engraulis encrasicolus) concentrate. Spawning areas have been assessed through the use of ichthyoplankton surveys data with environmental variables to feed habitat suitability modeling techniques for the idenitification of spawning grounds of anchovy. engraulis_encrasicolus_e_ndomf features EPSG:4326 CRS:84 12.2532196630859 22.7175206764393 36.2120574050977 45.706117354126 other other text/xml other other other other geonode:environmental_vulnerabil_lpzgy It represent the environmental vulnerability of the shore in case of oil spill disaster. Environmental vulnerability for oil spill risk, computed considering morphology, protected sites and biological resources, as in Stevens et al., 2005. environmental_vulnerabil_lpzgy features EPSG:4326 CRS:84 12.1519715793251 19.6097866937011 39.7896228530124 45.785125496045 other other text/xml other other other other geonode:environmental_vulnerability Jonian Environmental Vulnerability to Oil Spill environmental_vulnerability features EPSG:32633 CRS:84 11.684219922013368 18.627757910095852 35.4711713714394 42.141119262634554 other other text/xml other other other other geonode:established_parks_of_ven_fwhuz Areas delimiting established regional or national parks features EPSG:3003 CRS:84 10.872876450047539 12.66749379828737 44.78751880366251 46.699835978013255 other other text/xml other other other other geonode:eu_regulation_1967_2006 Article 13 of the EC Reg n° 1967/2006 regarding the minimum distances and depths for the use of fishing gears eu_regulation_1967_2006 features EPSG:3857 CRS:84 12.240189215501987 18.581675040423278 39.74078862981465 45.784951628836346 other other text/xml other other other other geonode:euseamap2_broad_scale_pr_kvygp Output of the 2016 EUSeaMap broad-scale predictive model, produced by EMODnet Seabed Habitats. The extent of the mapped area includes the Mediterranean Sea, Black Sea, Baltic Sea, and areas of the North Eastern Atlantic extending from the Canary Islands in the south to Norway in the North. **The dataset uploaded in the MSPKC contains the Mediterranean Sea section only.** The map was produced using a "top-down" modelling approach using classified habitat descriptors to determine a final output habitat. Habitat descriptors differ per region but include: Biological zone, Energy class, Oxygen regime, Salinity regime, Seabed Substrate, Riverine input. Habitat descriptors (excepting Substrate) are calculated using underlying physical data and thresholds derived from statistical analyses or expert judgement on known conditions. features EPSG:4326 CRS:84 -5.61617045289238 36.2144677997693 30.2667302399338 45.7917054006211 other other text/xml other other other other geonode:euseamap_2019_broad_scal_nhkpx AIR section of the 2019 EUSeaMap broad-scale predictive model, produced by EMODnet Seabed Habitats. The map was produced using a "top-down" modelling approach using classified habitat descriptors to determine a final output habitat. Habitat descriptors differ per region but include: Biological zone, Energy class, Oxygen regime, Salinity regime, Seabed substrate, Riverine input. Habitat descriptors (excepting Substrate) are calculated using underlying physical data and thresholds derived from statistical analyses or expert judgement on known conditions. features EPSG:4326 CRS:84 12.0979166667314 23.224999896031 36.4088474217393 45.7989584701695 other other text/xml other other other other geonode:fao_areas AO Major Fishing Areas for Statistical Purposes are arbitrary areas, the boundaries of which were determined in consultation with international fishery agencies on various considerations, including (i) the boundary of natural regions and the natural divisions of oceans and seas; (ii) the boundaries of adjacent statistical fisheries bodies already established in inter-governmental conventions and treaties; (iii) existing national practices; (iv) national boundaries; (v) the longitude and latitude grid system; (vi) the distribution of the aquatic fauna; and (vii) the distribution of the resources and the environmental conditions within an area. Purpose The rationale of the FAO Major Fishing Areas has been that the areas should, as far as possible, coincide with the areas of competence of other fishery commissions when existing. This system facilitates comparison of data, and improves the possibilities of cooperation in statistical matters in general. fao_areas features EPSG:4326 CRS:84 -5.61 41.7761 30.2639 47.2805 other other text/xml other other other other geonode:fe_ssf_new Α fishing pressure index from small scale fisheries (SSF) was estimated by means of Multi Criteria Decision Analysis (MCDA) methodology. The estimation conducted through a stepwise procedure, based on influential components affecting coastal fishing in terms of its distribution and intensity such as fishing capacity, bathymetry, distance from coastline, environmental conditions (among others) (Kavadas et al. 2015). fe_ssf_new features EPSG:4326 CRS:84 20.2669892389832 21.5051551850689 37.9072212667014 38.9125002145786 other other text/xml other other other other geonode:features_param_idrvis1 The Site on the Adriatic coast, close to the border with Albania, is the largest salina (saltpan) in the Adriatic. It was built in the 1930s, and salt production stopped in 2013. The Site is divided into several areas which had different purposes in the salt production process, such as crystallization and evaporation. They are now mostly covered by grassland, halophyte vegetation and reeds. Ulcinj Salina is the most important wintering, nesting and feeding site for birds on the eastern coast of the Adriatic and a key stopover site for birds migrating on the Adriatic Flyway. Overall, 252 bird species have been recorded in the Site, 20 of them globally threatened. In addition, one endangered amphibian (Albanian water frog), one reptile (European pond turtle) and one mammal (European otter) are present. Due to the stopping of salt production, the Site is at risk of losing the halophyte vegetation, which would be substituted with more common vegetation types, negatively affecting the biodiversity which it supports. features_param_idrvis features EPSG:4326 CRS:84 19.2490695919884 19.3346515826838 41.9053335188205 41.9387269017221 other other text/xml other other other other geonode:finfish_production The dataset provides information about the location of seawater finfish farms in the EU and partner countries where data are available. There is an obligation for MS to inventory all authorized aquaculture sites under the Council Directive 2006/88/EC on animal health requirements. Despite this obligation, the availability of data varies significantly among MS from no data available at all to a complete regularly updated dataset (e.g.in Scotland). Most MS with only a marginal finfish production are not able to provide a list with the geolacation of farms. In the main producer countries, there is usually a public list of authorized farms with geolocation data and sometimes information on the species. Data is provided here for Cyprus, Denmark, Greece, Ireland, Finland, Norway, Spain and the UK. There are no sea-based finfish farms in Belgium, Bulgaria, Latvia, Lithuania, the Netherlands and Poland. Data are still missing in other EU MS. In the last version from June 28 2017, data for Norway was added and the layer was updated with new attributes. Main species have been listed as Yes/No/n.a. attributes (Arctic Char, Cod, Halibut, Lumpfish, Meagre, Salmon, Seabass, Seabream, Trout, Tuna, Turbot, Wolffish, Wrasse and Other Species) and the detailed original description of species has been added in a separate attribute. Information on Production Stage (Grow out for Human consumption, Hatchery, Nursery, Reproduction, Brood stock, Other) has been added for Greece, Norway and partially for Spain. Information on purpose (Commercial, Research, Education, Display) has been added for Norway. Status (Active, Application, Expired, Expired in Use, Inactive, Notice, Revised, Renewal) is provided for Ireland, Norway (only active farms) and the UK. Point information indicates if the data points correspond to the data provided by the Source ("Original") or if they have been estimated by the Emodnet team when Polygons were provided ("Polygon centroid", in Ireland only). features finfish_production EPSG:4326 CRS:84 -17.9682056999999 33.907869438 27.781073899 71.0177830000001 other other text/xml other other other other geonode:fishing_fleet_emilia_romagna Number of fishing boats, grouped by fishing gear, in the ports of Emilia-Romagna features EPSG:4326 CRS:84 12.241142 12.749662 43.968675 44.84493 other other text/xml other other other other geonode:fishing_net_ludra_zagonica_fruza_ Spatial distribution of specific methods of fishing -targeting species from family Sparidae fishing_net_ludra_zagonica_fruza_ features EPSG:3765 CRS:84 12.972822171165381 18.65434674152947 41.58036538828322 45.62382532154567 other other text/xml other other other other geonode:fishing_sport_ports Fishing and sport ports in Istria County. features fishing_sport_ports EPSG:3765 CRS:84 13.547570910805154 14.210296575182712 44.78187008729525 45.374609454729516 other other text/xml other other other other geonode:flood_hazard_and_risk_maps_e_r_1 Maps processed according to Flood directive 2007/60 and National law 49/2010 features EPSG:32632 CRS:84 12.185986899042334 12.80759314860026 43.96654721739872 44.86152190398248 other other text/xml other other other other geonode:flood_risk_management Existing structures for flood defense. Data describes coastal embankment. flood_risk_management BiH terrestrial area features EPSG:31276 CRS:84 17.45298505949511 17.75634680685432 43.02987605518694 43.26491640423985 other other text/xml other other other other geonode:flora Flora Croatica Database (FCD) is a functionally independent database established and managed by the Faculty of Sciences of the University of Zagreb within its own IT infrastructure, which is connected to the Nature Information System through the established web services in real time. Through the FCD Spatial Viewer, data is available to all users in the generalized form, while source data is available to registered users. On the Bioportal web site (www.bioportal.hr/gis) and the International Portal of ISZP (http://interni.bioportal.hr/gis/), source data is available from literary and herbal sources. features EPSG:3765 CRS:84 -30.06858411903563 25.682855603988084 3.541093296499103 49.95854615250205 other other text/xml other other other other geonode:foul_areas_polygons Foul areas due to old or recent unexploded war devices according to the 2019 prefaction of the notice to Mariners (PREMESSA AGLI AVVISI AI NAVIGANTI 2019 Iistituto Idrografico della Marina) features EPSG:4326 CRS:84 12.2499999999001 19.1080330526833 37.8924941744666 45.6661111113388 other other text/xml other other other other geonode:foul_areas_pt Foul areas due to old or recent unexploded war devices according to the 2019 prefaction of the notice to Mariners (PREMESSA AGLI AVVISI AI NAVIGANTI 2019 Iistituto Idrografico della Marina); The vectors data have been edited starting from indications written in the 2019 prefaction of the notice to Mariners - Adriatic and Ionian sea. features EPSG:4258 CRS:84 12.4269999998827 18.5999999999653 41.8166000009394 44.4761666677669 other other text/xml other other other other geonode:fpc_ssf No abstract provided GeoTIFF WCS msf fpc_ssf EPSG:4326 CRS:84 20.266989239 21.504980885 37.907900436 38.912500215 other other text/xml other other other other geonode:frequencies_of_occurrenc_ygwka Significant wave height Hs is the considered parameter. Wave height isopleths are the locus of sites where the frequency of occurrence of the wave event (below or above a specific threshold) has a constant value. This constant value (in %) is depicted on each isopleth. Considered threshold values are: 0.5, 1.24, 2.5 and 4 m. Seasonal resolution: annual – all months; autumn – September, October, November; winter – December, January, February; spring – March, April, Mat; summer – June, July, August. Data are extracted by the Wind and Wave Atlas of the Mediterranean Sea. The atlas is the result of the Medatlas project led between 1999 and 2004 by a consortia of six partners (NTU - Greece, CS SI – France, ISMAR-CNR – Italy, Thetis – Italy, Semantic TS – France, Meteo France – France) and that was funded by the former Western European Union – WEAO Research Cell. The main objective of the atlas was to provide reliable long term wind and wave statistics at specified points of the Mediterranean Sea (at about 50 km intervals) and to provide derived maps of main parameters distribution features EPSG:4326 CRS:84 12.3400873842593 19.5324450231481 40.7560717592593 44.8724525462963 other other text/xml other other other other geonode:galeus_melastomus_blackm_sbulq Data from Mediterranean Sensitive Habitats (MEDISEH) project. The map shows the area where recruits of Blackmouth catshark (Galeus melastomus) concentrate. Due to the lack of specific studies on the dispersal behaviour of juveniles, it was assumed that the first separable modal component of the age group 0 was composed of specimens recently settled on the bottom sharing similar habitat preferences. The areas were identified through habitat suitability modeling techniques, relating abundance information from surveys with environmental variables. galeus_melastomus_blackm_sbulq features EPSG:4326 CRS:84 14.14174652099 19.2616271972656 36.3225747771187 42.2004089355469 other other text/xml other other other other geonode:galeus_melastomus_blackm_ztumn Data from Mediterranean Sensitive Habitats (MEDISEH) project. The map shows the area where spawners of Blackmouth catshark (Galeus melastomus) concentrate. In the framework of the Project it was agreed to restrict modeling to the adult females fraction of the populations using the length-at-maturity calculated from MEDITS or landing data (DCF) as threshold length. Aggregation areas for adults have been assessed through habitat suitability modeling, relating abundance information from surveys with environmental variables. features galeus_melastomus_blackm_ztumn EPSG:4326 CRS:84 15.0474681854248 19.0872097015381 38.2389335632324 42.1913948059082 other other text/xml other other other other geonode:generalized_detailed_ded_jlfyp This is a generalized layer of detailed use in which it is collected detailed dedicated uses from all valid municipal spatial documents in the territory of the country (municipal spatial plans - OPN, spatial orders of municipalities - PRO, long-term and medium-term components municipal spatial acts - spatial components). This data is used only for statistical purposes or to show the spatial distribution of building and other land and not to identify their legal status. The data layer is based on sources of different ages, accuracy and different categorization of dedicated uses. Slovenian terrestrial area features generalized_detailed_ded_jlfyp EPSG:3912 CRS:84 13.553010073826657 13.946414153273592 45.43043584848443 45.607403464794444 other other text/xml other other other other geonode:gns_evf Set gillnets (GNS) "Reti a imbrocco" (operations) from AIS 2015. From CNR IRBIM ANCONA SUPREME Project North Adriatic Case study ( http://www.msp-supreme.eu/files/c-1-3-8-north-adriatic.pdf ) fisheries small scale fisheries EPSG:4326 CRS:84 12.2429170000001 13.804444 43.9695000000001 45.7945560000001 other other text/xml other other other other geonode:grant_areea_offshore_san_yrcjs 679/5000 It contains the polygons that represent the areas in which the sandy deposits have been identified and for which intervention concessions have been requested. The name of the area is specified (Name_A), with an identifier for each Region (eg RER_A, Regione Emilia- Romagna_A) the concession (currently not available) and the sheet, with reference to the numbering of the geological maps of the Italian seas (project CARG at the scale of 1: 250,000) where these areas are included. The areas were named keeping the letters that had been chosen during the first geophysical and geognostic research campaigns or area: RER_A, RER_B, RER_C, RER_H, RER_I. features EPSG:32633 CRS:84 12.664857063433722 13.354889282354014 44.1362748620372 44.71496146810952 other other text/xml other other other other geonode:gridded_distribution_of__mzztj Map of gridded distribution of sightings of giant devil rays in the Adriatic Sea recorded during aerial surveys in 2010 and 2013 features gridded_distribution_of__mzztj EPSG:3035 CRS:84 11.764971041871517 24.967528146649105 35.84223602990595 45.77308374924891 other other text/xml other other other other geonode:gsa17_18 Geographical Sub-Areas in the adriatic Sea according to the General Fisheries Commission for the Mediterranean (GFCM):- GSA 17 Northern Adriatic sea- GSA 18 Southern Adriatic sea - The vectors data have been edited starting from indications written in the table of "Geographical coordinates for GFCM Geographical Sub- Areas (GSAs) (GFCM, 2009)" features EPSG:4326 CRS:84 12.1451120000001 20.332225380671 39.5889100013507 45.797302 other other text/xml other other other other geonode:gt_per_harbour Gross Tonnage per harbor - vector-shapefile - WGS84 An activity index for the small-scale fishing fleet by registration port for all vessels of each port (p) by the summed product GT(p) = Σ(Li*GTi), where where: GT: Gross tonnage of vessel i , Li: Vessel Length; n: Total number of vessels at each registered fishing port (p). The dataset refers to 2014 and for the small-scale fisheries (fleet segment: <12m). gt_per_harbour features EPSG:4326 CRS:84 20.4413794610001 21.4180000000001 37.9350000000001 38.8504758920001 other other text/xml other other other other geonode:gt_per_harbour_mediterra_opccz Gross Tonnage per harbor - shapefile An activity index for the small-scale fishing fleet by registration port for all vessels of each port (p) by the summed product GT(p) = Σ(Li*GTi), where where: GT: Gross tonnage of vessel i , Li: Vessel Length; n: Total number of vessels at each registered fishing port (p). The dataset refers to 2014 and for the small-scale fisheries (fleet segment: <12m). gt_per_harbour_mediterra_opccz features EPSG:4326 CRS:84 -5.437885 34.99 33.9 48.9 other other text/xml other other other other geonode:habitat_1110_1170_HR3000003_Vrsarski_otoci T2.2.-HR3000003 Vrsarski otoci NATURA 2000 habitat type 1110-Sublittoral sandbanks, permanently submerged. Water depth is seldom more than 20 m below Chart Datum. Non-vegetated sandbanks or sandbanks with vegetation belonging to the Zosteretum marinae and Cymodoceion nodosae. 1170-Reefs include hard substrates which arise from the sea floor and which are continuously submerged or emerge at low tide, such as rocks, rocky sandflats and mudflats, and biogenic concretions or encrustations (e.g. mussel beds or honeycomb (Sabellaria) reefs), but also stones and erratics on submarine moraine ridges. habitat_1110_1170_HR3000003_Vrsarski_otoci features EPSG:3765 CRS:84 13.563059861150894 13.607227748404496 45.139455289555826 45.200367286385415 other other text/xml other other other other geonode:habitat_1110_HR3000003_Vrsarski_otoci T2.2.-HR3000003 Vrsarski otoci NATURA 2000 habitat type 1110-Sublittoral sandbanks, permanently submerged. Water depth is seldom more than 20 m below Chart Datum. Non-vegetated sandbanks or sandbanks with vegetation belonging to the Zosteretum marinae and Cymodoceion nodosae. habitat_1110_HR3000003_Vrsarski_otoci features EPSG:3765 CRS:84 13.562375142355574 13.607881150624474 45.139451933064514 45.20092614570405 other other text/xml other other other other geonode:habitat_1150_HR3000003_Vrsarski_otoci T2.2.-HR3000003 Vrsarski otoci NATURA 2000 habitat type 1150-Lagoons are expanses of shallow coastal salt water, of varying salinity and water volume, wholly or partially separated from the sea by sand banks or shingle, or, less frequently, by rocks. Salinity may vary from brackish water to hypersalinity depending on rainfall, evaporation and through the addition of fresh seawater from storms, temporary flooding of the sea in winter or tidal exchange habitat_1150_HR3000003_Vrsarski_otoci features EPSG:3765 CRS:84 13.603407900891533 13.607367773713543 45.16187028719776 45.163051963002516 other other text/xml other other other other geonode:habitat_1160_1170_HR3000003_Vrsarski_otoci T2.2.-HR3000003 Vrsarski otoci NATURA 2000 habitat type 1160-Large indentations of the coast where, in contrast to estuaries, the influence of freshwater is generally limited. These shallow indentations are generally sheltered from wave action and contain a great diversity of sediments and substrates with a well developed zonation of benthic communities. These communities have generally a high biodiversity. The limit of shallow water is sometimes defined by the distribution of the Zosteretea and Potametea associations. 1170-Reefs include hard substrates which arise from the sea floor and which are continuously submerged or emerge at low tide, such as rocks, rocky sandflats and mudflats, and biogenic concretions or encrustations (e.g. mussel beds or honeycomb (Sabellaria) reefs), but also stones and erratics on submarine moraine ridges. habitat_1160_1170_HR3000003_Vrsarski_otoci features EPSG:3765 CRS:84 13.596721157860383 13.610792212195932 45.157365377752 45.183534788396706 other other text/xml other other other other geonode:habitat_1160_HR3000003_Vrsarski_otoci T2.2.-HR3000003 Vrsarski otoci NATURA 2000 habitat type 1160-Large indentations of the coast where, in contrast to estuaries, the influence of freshwater is generally limited. These shallow indentations are generally sheltered from wave action and contain a great diversity of sediments and substrates with a well developed zonation of benthic communities. These communities have generally a high biodiversity. The limit of shallow water is sometimes defined by the distribution of the Zosteretea and Potametea associations. features habitat_1160_HR3000003_Vrsarski_otoci EPSG:3765 CRS:84 13.582042296507444 13.60982760450671 45.14210020832109 45.18629831910087 other other text/xml other other other other geonode:habitat_1170_HR3000003_Vrsarski_otoci T2.2.-HR3000003 Vrsarski otoci NATURA2000 habitat type 1170-Reefs include hard substrates which arise from the sea floor and which are continuously submerged or emerge at low tide, such as rocks, rocky sandflats and mudflats, and biogenic concretions or encrustations (e.g. mussel beds or honeycomb (Sabellaria) reefs), but also stones and erratics on submarine moraine ridges. features habitat_1170_HR3000003_Vrsarski_otoci EPSG:3765 CRS:84 13.567093190037449 13.606639634958228 45.13954629165206 45.20018345442757 other other text/xml other other other other geonode:habitat_1170_terrestrial_HR3000003 T2.2.-HR3000003 Vrsarski otoci Terrestrial habitat_1170-Reef 1170-Reefs include hard substrates which arise from the sea floor and which are continuously submerged or emerge at low tide, such as rocks, rocky sandflats and mudflats, and biogenic concretions or encrustations (e.g. mussel beds or honeycomb (Sabellaria) reefs), but also stones and erratics on submarine moraine ridges. habitat_1170_terrestrial_HR3000003 features EPSG:3765 CRS:84 13.578206790672809 13.599891879021229 45.15719989077101 45.17528818868967 other other text/xml other other other other geonode:habitat_1210_HR3000003_Vrsarski_otoci T2.2.HR3000003 Vrsarski otoci Terrestrial habitat-1210-Annual vegetation of drift lines features habitat_1210_HR3000003_Vrsarski_otoci EPSG:3765 CRS:84 13.603491217728264 13.604602895072865 45.1572756656713 45.15832933825625 other other text/xml other other other other geonode:habitat_1240_HR3000003_Vrsarski_otoci T2.2.-HR3000003 Vrsarski otoci Terrestrial habitat-1240-Vegetated sea cliff of the Mediterranean with endemic Limonium spp. habitat_1240_HR3000003_Vrsarski_otoci features EPSG:3765 CRS:84 13.567745251457438 13.606218431291705 45.14106857084069 45.19903028363149 other other text/xml other other other other geonode:habitat_6220 T2.2.-HR3000003 Vrsarski otoci Terrestrial habitat 6220-Pseudo-stepps with grasses and annuals of the Thero-Brachypodietea features habitat_6220 EPSG:3765 CRS:84 13.568379860845372 13.598372316545927 45.148156574639 45.19861573423433 other other text/xml other other other other geonode:habitat_62A0_Eastern_sub_mediterranean_dry_gr T2.2.-HR3000003 Vrsarski otoci Terrestrial habitat 62A0-Eastern sub-mediterranean dry grasslands (Scorzoneretalia villosae) features habitat_62A0_Eastern_sub_mediterranean_dry_grasslands_Scorzoneretalia_villosae_ EPSG:3765 CRS:84 13.568379860845372 13.597620101445672 45.16296356654556 45.19861573423433 other other text/xml other other other other geonode:habitat_9340_HR3000003 T2.2.-HR3000003 Vrsarski otoci Terrestrial habitat 9340-Quercus ilex and Quercus rotundifolia forests. Formations of the supra-Mediterranean levels, often mixed with deciduous oaks, Acer spp. or Ostrya carpinifolia. habitat_9340_HR3000003 features EPSG:3765 CRS:84 13.56807089873264 13.606185989651662 45.14129835786619 45.1989625551382 other other text/xml other other other other geonode:habitats The EUNIS habitat classification is a comprehensive pan-European system to facilitate the harmonised description and collection of data across Europe through the use of criteria for habitat identification. It is hierarchical and covers all types of habitat from natural to artificial, from terrestrial to freshwater and marine. This resource is referred to the marine habitat only habitats features EPSG:3765 CRS:84 13.203039175700644 18.653203475458792 42.134641380769544 45.62761895127231 other other text/xml other other other other geonode:http_www_emodnet_humanac_uxwpf The geodatabase on offshore hydrocarbon licences in the EU was created in 2014 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several EU and non-EU sources. It is updated every year, and is available for viewing and download on EMODnet - Human Activities web portal (www.emodnet-humanactivities.eu). The database contains polygons representing active offshore licences for hydrocarbon exploration and exploitation in the following countries: Croatia, Denmark, France, Germany, Ireland, Italy, Malta, Netherlands, Norway, Poland, Spain and UK. Where available each polygon has the following attributes: country, code, name, type (exploration, exploitation), licensing round (it includes also pending applications in France and Spain), area (square km), area info (it indicates if the area value is original from the source or has been calculated), starting year, ending year, operator. Compared with the previous release, note that Portuguese licences are not included because they all expired last year. features EPSG:4326 CRS:84 -15.1999999999999 36.3333333 34.1820985420001 74.5000000000001 other other text/xml other other other other geonode:http_www_geoportal_mrt_g_acdaw Data on air pollution in coastal urban areas.All values are shown in µg / m3. Montenegro terrestrial area features http_www_geoportal_mrt_g_acdaw EPSG:32634 CRS:84 18.513262798046025 19.218638888886304 41.916057999781685 42.47119637625855 other other text/xml other other other other geonode:http_www_geoportal_mrt_g_mqdty The file contains a GIS database sewage drain location point Montenegro coastal area. Montenegrin Adriatic Sea http_www_geoportal_mrt_g_mqdty features EPSG:32634 CRS:84 18.503088056519747 19.235799999905154 41.892725194671435 42.52522367850986 other other text/xml other other other other geonode:http_www_geoportal_mrt_g_nekjv The file contains polygon presentation of the estuary of the River Bojana border river with Albania, and double glazed sleeves (the island of St. Joseph) that opens to the sea. Montenegro terrestrial area features http_www_geoportal_mrt_g_nekjv EPSG:32634 CRS:84 19.21345077949344 19.391392628787685 41.82936644333476 42.037455245350834 other other text/xml other other other other geonode:http_www_geoportal_mrt_g_qazqq This dataset contains information on the habitat types of the coastal zone of Montenegro. The map was created during the development of the CAMP Montenegro. Montenegrin Adriatic Sea features http_www_geoportal_mrt_g_qazqq EPSG:32634 CRS:84 18.705037137407103 19.35719498215067 41.85729460802201 42.410755841525756 other other text/xml other other other other geonode:http_www_geoportal_mrt_g_whknb Polygon based shapefile on land use in coastal area of Montenegro. http_www_geoportal_mrt_g_whknb Montenegro terrestrial area features EPSG:32634 CRS:84 18.42766369018958 19.392461146076318 41.82675052268809 42.64678577846733 other other text/xml other other other other geonode:http_www_geoportal_mrt_g_ygylr The file contains data about areas affected by the sea level rise. The attribution table contains values: lower than 0 m; between 0-0.65 m; between 0.62 - 0.96 m; between 0.96 - 1.46 m; between 1.46 - 1.96 m. http_www_geoportal_mrt_g_ygylr Montenegro terrestrial area features EPSG:32634 CRS:84 18.495837286009763 19.39041337423902 41.83157358375011 42.528734815166324 other other text/xml other other other other geonode:http_www_geoportal_mrt_g_yjdmr Bathymetry of the coast of the Montenegrin part of the Adriatic Sea shown in six bathymetric zones: from 0 to 20 m, from 20 to 50 m, from 50 to 100 m, from 200 to 500 m, from 500 to 1000 m, more than 1000 m. http_www_geoportal_mrt_g_yjdmr Montenegrin Adriatic Sea features EPSG:32634 CRS:84 17.98966147383772 19.379021598638456 41.49598603386352 42.529689479536245 other other text/xml other other other other geonode:http_www_prirodainfo_me_forma Protected areas in the coastal part of Montenegro including MPA - EMERALD. http_www_prirodainfo_me_forma Montenegro terrestrial area Montenegrin Adriatic Sea features EPSG:32634 CRS:84 18.48907621332801 19.437940582271526 41.827895198303004 42.68924275089728 other other text/xml other other other other geonode:human_vulnerability Jonian Human vulnerability to Oil Spill human_vulnerability features EPSG:32633 CRS:84 11.684219922013368 18.627757910095852 35.4711713714394 42.141119262634554 other other text/xml other other other other geonode:human_vulnerability_to_o_liana It represent the vulnerability of the shore, due to human activities, in case of oil spill disaster. Anthropic vulnerability for oil spill risk, computed considering commercial fisheries and human use, as in Stevens et al., 2005. human_vulnerability_to_o_liana features EPSG:4326 CRS:84 12.1519715793251 19.6097866937011 39.7896228530124 45.785125496045 other other text/xml other other other other geonode:hydrocarbon_explorationp_vvpew Decision on Defining Blocks for Award of Concession Contract for Production of Hydrocarbons in Offshore Montenegro; Official Gazette of Montenegro 42/12. hydrocarbon_explorationp_vvpew Montenegrin Adriatic Sea features EPSG:4326 CRS:84 18.4013110989987 19.3538628772795 41.6731920926814 42.1699171898871 other other text/xml other other other other geonode:hydrography1 Shape file contains data on rivers, provided by Institute for Environment and Sustainability (IES), combined with additional, official data provided by Republic of Croatia Istrian Municipality, Slovenian Environmental Agency and CAMP project with approval of the Republic of Montenegro Ministry of Sustainable Development and Tourism, Italian Environment Ministry (portale cartografico nazionale) hydrography1 features EPSG:4326 CRS:84 11.1953127725273 20.184639048826 39.6874160334864 46.643367 other other text/xml other other other other geonode:illex_coindetii_broadtai_lfnkh The map shows the area where recruits of Illex coindetii concentrate (nursery areas). Recruits were considered as those specimens that have settled on the bottom, becoming available to the fishing gear in well-defined habitats at the end of their larval—pelagic stage and which remain in these habitats before dispersing or migrating. Due to the lack of specific studies on the dispersal behaviour of juveniles, it was assumed that the first separable modal component of the age group 0 was composed of specimens recently settled on the bottom sharing similar habitat preferences. Nursery areas have been assessed in the framework of MAREA-MEDISEH Project through habitat suitability modeling, relating abundance information from surveys with environmental variables. illex_coindetii_broadtai_lfnkh features EPSG:4326 CRS:84 13.3112115859985 21.9294533482216 36.2271755439893 45.3466033935547 other other text/xml other other other other geonode:illex_coindetii_broadtai_lkpfb The map shows the area where adults of Illex coindetii concentrate (potential spawning areas). In the framework of MAREA-MEDISEH Project it was agreed to restrict modeling to the adult females fraction of the populations using the length-at-maturity calculated from MEDITS or landing data (DCF) as threshold length. Aggregation areas for adults have been assessed through habitat suitability modeling, relating abundance information from surveys with environmental variables. illex_coindetii_broadtai_lkpfb features EPSG:4326 CRS:84 13.3362846374512 21.4899997711182 36.2271755439893 44.206184387207 other other text/xml other other other other geonode:imo_traffic_regulation_z_hxpwi Ships routeing systems and traffic separation schemes that have been approved by International Maritime Organization (IMO). A Precautionary Area is a “routeing measure comprising an area within defined limits where ships must navigate with particular caution and within which the direction of traffic flow may be recommended.” features EPSG:4326 CRS:84 12.6083333 14.2768333 43.7916667000001 45.6456667 other other text/xml other other other other geonode:imo_traffic_regulation_z_jaljb Ships routeing systems and traffic separation schemes that have been approved by International Maritime Organization (IMO). An Area to be Avoided (ATBA) is an area within defined limits that should be avoided by all ships or certain classes of ships, in which navigation is Particularly hazardous or in which it is exceptionally important to avoid casualties. In general, ATBAs should be established only in places where: inadequate survey or insufficient provision of aids to navigation may lead to danger of stranding; where local knowledge is considered essential for safe passage; where there is the possibility that unacceptable damage to the environment could result from a casualty; or where there might be hazard to a vital aid to navigation. features EPSG:4326 CRS:84 12.5497129 18.3533506000001 40.8857396000001 45.1133302000001 other other text/xml other other other other geonode:imo_traffic_regulation_z_ncfos Ships' routeing systems and traffic separation schemes that have been approved by International Maritime Organization (IMO). The traffic-lanes (or clearways) indicate the general direction of the ships in that zone; ships navigating within a Traffic Separation Scheme or TSS all sail in the same direction or they cross the lane in an angle as close to 90 degrees as possible. features EPSG:4326 CRS:84 12.314382 16.3591906 42.1766667000001 45.7123333000001 other other text/xml other other other other geonode:imo_traffic_regulation_z_wfpov Ships' routeing systems and traffic separation schemes that have been approved by International Maritime Organization (IMO). A traffic separation scheme is a scheme which aims to reduce the risk of collision in congested and/or converging areas by separating traffic moving in opposite, or nearly opposite, directions. (IHO Dictionary, S-32, 5th Edition, 5585) A traffic separation zone is a zone separating the lanes in which ships are proceeding in opposite o r nearly opposite directions; or separating traffic lanes designated for particular classes of ships proceeding in the same direction (IMO Ships Routeing, 6th Edition). features EPSG:4326 CRS:84 12.525 16.3066667000001 42.1766667000001 45.7123333000001 other other text/xml other other other other geonode:infrastrucure Data related to oil and gas infrastructure in Istria county according to Spatial Plan of the Istria county (2016.). Data refer to magistral gas pipelines for international traffic, gas-pipelines, measurement reducing station, thermoelectrane and power lines. features EPSG:3765 CRS:84 13.474980284797214 14.283315810073411 44.70263783212657 45.47125707352428 other other text/xml other other other other geonode:infrastrucure_1 Data related to oil and gas infrastructure in Istria county according to Spatial Plan of the Istria county (2016.). Data refer to magistral gas pipelines for international traffic, gas-pipelines, measurement reducing station, thermoelectrane and power lines. features EPSG:3765 CRS:84 13.546544804356076 14.178510948577904 44.9446670026285 45.452613308026756 other other text/xml other other other other geonode:inland_waters Croatian habitats (according to national habitat classification) in mesotrophic inland waters, oligotrophic-mesotrophic waters rich with limestone, euryhaline, and eurythermal biocenosis inland_waters features EPSG:3765 CRS:84 14.309507640641211 19.577175387549822 42.91636140003142 46.53672690541338 other other text/xml other other other other geonode:inland_waters_baselines__utkia This dataset builds on previous versions of the worlds EEZ. In version 9, the 200 nautical miles outer limit was completely recalculated using a higher resolution coastline as a normal baseline (ESRI Countries 2014) and straight baselines, where available. This dataset consists of two shapefiles: polylines that represent the maritime boundaries of the worlds countries, the other one is a polygon layer representing the Exclusive Economic Zone of countries. This dataset also contains digital information about treaties, joint regime, and disputed boundaries. features EPSG:4326 CRS:84 0.0 -1.0 0.0 -1.0 other other text/xml other other other other geonode:italy_base_line The Base line from which the territorial sea is measured, as defined by the 1982 United Nations Convention on the Law of the Sea. It is represented by the low-water line along the coast as marked on large-scale nautical charts (Istituto Idrografico della Marina). Straight baselines has been defined by Decree of the President of the Republic No. 816 of 26 April 1977 Even if the drawing was done following all the DPR 816/77 instructions, the result cant be considered "official" (NON OFFICIAL italian base line). features italy_base_line EPSG:4258 CRS:84 12.2802031 18.5200000000001 39.8166666670002 45.7216000000002 other other text/xml other other other other geonode:italy_territorial_waters Territorial waters, or a territorial sea, as defined by the 1982 United Nations Convention on the Law of the Sea. It is a belt of coastal waters extending at most 12 nautical miles from the italian baseline. Even if the drawing was done following all the legislative instructions, the result can't be considered "official" (NON OFFICIAL italian territorial waters line). features EPSG:4258 CRS:84 12.5607772690049 18.7803841338966 39.6683453020044 45.63154997278 other other text/xml other other other other geonode:jonian_total_vulnerability_oil_spill No abstract provided jonian_total_vulnerability_oil_spill features EPSG:32633 CRS:84 11.684219922013368 18.627757910095852 35.4711713714394 42.141119262634554 other other text/xml other other other other geonode:land_based_activities_po_wfxzv Data represent the location of a petrol station that has a potential negative impact on the environment. land_based_activities_po_wfxzv BiH terrestrial area features EPSG:31276 CRS:84 17.63097505131225 17.630999652893447 42.91176358526826 42.911781668679 other other text/xml other other other other geonode:legislation No abstract provided GeoTIFF WCS fe_ssf_new aqua legislation EPSG:4326 CRS:84 20.2669892389832 21.5049808854221 37.9079004359109 38.9125002145786 other other text/xml other other other other geonode:legislation_PS No abstract provided GeoTIFF WCS msf legislation_PS EPSG:4326 CRS:84 20.266989238983175 21.50498088542212 37.90790043591094 38.91250021457861 other other text/xml other other other other geonode:legislation_TR No abstract provided GeoTIFF legislation_TR WCS msf EPSG:4326 CRS:84 20.266989238983175 21.50498088542212 37.90790043591094 38.91250021457861 other other text/xml other other other other geonode:legislation_around_kepha_gdmvg Time closure fishing period in months for Pure seines - raster - WGS84 Legislation was based on the time closure for small-scale fishing measured in months (integer values: from 1 (January) to 12 (December). GeoTIFF WCS legislation_around_kepha_gdmvg EPSG:4326 CRS:84 20.266989238983175 21.50498088542212 37.90790043591094 38.91250021457861 other other text/xml other other other other geonode:legislation_around_kepha_lzojm Time closure fishing period in months for Trawlers - raster - WGS84 Legislation was based on the time closure for small-scale fishing measured in months (integer values: from 1 (January) to 12 (December). legislation_around_kepha_lzojm GeoTIFF WCS EPSG:4326 CRS:84 20.266989238983175 21.50498088542212 37.90790043591094 38.91250021457861 other other text/xml other other other other geonode:legislation_fishing_time_hbesj Time closure fishing period in months - raster - WGS84 Legislation was based on the time closure for small-scale fishing measured in months (integer values: from 1 (January) to 12 (December). GeoTIFF WCS legislation_fishing_time_hbesj EPSG:4326 CRS:84 20.2669892389832 21.5049808854221 37.9079004359109 38.9125002145786 other other text/xml other other other other geonode:limite_rer_mare Emilia-Romagna marine boundaries are represented by broken lines which enclose the area of ​​the ' Secondary Maritime Rescue Center jurisdiction of Ravenna (8° M.R.S.C.) features limite_rer_mare EPSG:4326 CRS:84 12.4000000000041 13.4683 43.9683 44.7933000000001 other other text/xml other other other other geonode:lng_operative_terminals This layer show the only one operative LNG terminal in Adriatic region, LNG Terminal Porto Viro Info: http://cdn1.regione.veneto.it/alfstreaming-servlet/streamer/resourceId/40fac1b3-42ed-4866-a533-215eaecfea57/RelazRilievoLineaCosta.pdf features lng_operative_terminals EPSG:4326 CRS:84 12.5841621667 12.5841621667 45.0877156667 45.0877156667 other other text/xml other other other other geonode:lng_porto_viro Non-renewable energy infrastructure at sea. Adriatic LNG terminal. Offshore terminal for regasification of liquefied natural gas located in front of Porto Levante features EPSG:4258 CRS:84 12.580281314291 12.580481314291 45.0926422693305 45.092842269330504 other other text/xml other other other other geonode:localisation_and_volume__ixhds It refers to the polygon that represents the area where sand is taken from within the established sub-area. To date, four sand removal operations have been carried out in the offshore fields, distributed as follows: three in the RER_C1 field in the years 2002, 2007 and 2016 and one in the RER_A0 field implemented in 2007. features localisation_and_volume__ixhds EPSG:32633 CRS:84 12.81286386830715 13.045030805286167 44.455459174611384 44.666100630816636 other other text/xml other other other other geonode:location_of_marinas Tourism_recreation - Recreation and touristic areas and facilities - Location of marinas - shape file, WGS84 location_of_marinas features EPSG:4326 CRS:84 20.4954469120914 21.42016156239 38.1808328009948 38.8293754218333 other other text/xml other other other other geonode:mab_man_and_the_biospher_vdgrm The Po Delta and the Tuscan-Aemilian Appennine became UNESCO Biosphere Reserves in June 2015, when the international Committee of the MaB Programme met in Paris. features EPSG:25832 CRS:84 11.875019765484971 12.566026848490859 44.53303875802892 45.17497230188217 other other text/xml other other other other geonode:main_ports_stats_2015_2016 Emodnet Human Activities - Major ports This facility provides free access to GIS data on European ports, with statistics on total shipped goods (TOnx1000; 2016) and passegers (exluded cruises; 2015/2016) Full information and statistics here http://www.emodnet-humanactivities.eu/search-results.php?dataname=Main+Ports Abstract The geodatabase on maritime transport in EU main ports includes goods, passengers and vessels traffic in the EU and was created in 2014 by Eurofish and Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided to EUROSTAT by ports in EU Member States and Norway. EUROSTAT data have been related to GISCOs georeferenced ports. These datasets are updated on an annual basis where the most recent update includes annual data from 2014, 2015 and 2016 (where available). Goods and Passengers data are available from 2001 while vessel is maintained from 2006 onwards. Goods traffic data are reported in thousand tonnes by type of cargo and direction. Passengers traffic data are reported in thousand passengers (excluding cruise passengers) by direction and traffic type. Vessels traffic data are reported in unit and gross tonnage (thousand) of vessels by vessel size class and vessel type. Original data is reported quarterly by EUROSTAT, but has been aggregated on an annual basis to produce this dataset. features EPSG:4258 CRS:84 -176.142211914 178.4296875 -54.280517578 78.231445313 other other text/xml other other other other geonode:main_traffic_corridors_o_zhuiw An overview of the navigation areas of major commercial vessels in the Slovenian Sea, sailing to the Port of Koper and The port of Trieste or from them. Dataset was prepared based on BALMAS traffic intensity data. It represents areas of most most intense navigation of large commercial vessels,sailing to or from the Port of Koper and the Port of Trieste features main_traffic_corridors_o_zhuiw EPSG:4326 CRS:84 13.3795644531899 13.7433687993576 45.5315055504891 45.6357713002454 other other text/xml other other other other geonode:map_of_the_immediate_sea_ajdwx Areas with seven specially defined categories- for immediate coastal erosion in Montenegro. map_of_the_immediate_sea_ajdwx Montenegro terrestrial area features EPSG:32634 CRS:84 18.433690289529288 19.390537011863174 41.826873403454144 42.54495970937 other other text/xml other other other other geonode:mapping_of_potential_aqu_lpltx Aquaculture - Aquaculture areas - Mapping of potential aquaculture areas - shape file, WGS84 Ministry of environment and Energy of Greece Ministerial Decision 31722/04-11-2011 “Approval of a Special Spatial Planning Framework and Sustainable Development for Aquaculture and its strategic environmental impacts assessment”. mapping_of_potential_aqu_lpltx features EPSG:4326 CRS:84 20.43772136 21.15378293 38.18170392 38.69998917 other other text/xml other other other other geonode:mapping_of_the_current_l_jenfn Mapping of the current location of aquaculture farms (mussels, other mollusks, finfish, seaweed) features EPSG:31276 CRS:84 17.56740540746009 17.615306250097266 42.91605870572079 42.932055313855926 other other text/xml other other other other geonode:mapping_of_the_current_l_vucsw Aquaculture - Aquaculture areas - Mapping of the current location of aquaculture farms (finfish) - shape file, WGS84 aquaculture_areas Kephalonia EPSG:4326 CRS:84 20.011285 21.1344410180001 38.209023245 39.690854 other other text/xml other other other other geonode:mariculture Marine areas relating to the bivalve molluscs breeding, the shellfish breeding and open sea aquaculture. The longer farmed species are Mytilus galloprovincialis (mussels) and Tapes spp. (clams). Regarding fish species, the most common ones are Mugil cephalus and Anguilla Anguilla. Emilia-Romagna are was updated in 2020. features EPSG:4258 CRS:84 12.2413835054444 18.76515125033 40.4199271224388 45.7708739072051 other other text/xml other other other other geonode:marinas_italy Ports and Marinas of Italy area, Slovenia and Istria (and few more of Croatia) with name and number of boats. features EPSG:4326 CRS:84 12.186684096858 18.4953702354612 39.7964933359719 45.8147896729447 other other text/xml other other other other geonode:marine_habitats_t_2_2_pi_oqfza Within the WP T2 (Geoportal testing and demonstration: towards the plans), PP6-Institute for Physical Planning Region of Istria is responsible for implementation activity testing 2.2. „Threats to coastal & marine biodiversity – Step by step towards ecosystem based approach in marine NATURA 2000 site HR 3000003 Vrsars islands.“. The mentioned area administratively belongs the municipality of Vrsar-Orsera and the municipality of Funtana-Fontane, western coast of Istria County. The main aims are increasing knowledge on threats to coastal & marine biodiversity for future action within MSP, ICZM and MSFD implementation, as well as gather existing scientific data or collect the new ones. The marine mapping was done along transects (183) perpendicular to coast, during the March and April 2019., according to Croatian Habitat Classification (OG 88/14) and Habitat Directive (92/43/EEC). features EPSG:4326 CRS:84 13.5632884407084 13.6107365372638 45.1401520104876 45.2002774708592 other other text/xml other other other other geonode:marine_protected_areas_e_wdjbr Marine protected areas in Emilia-Romagna and biologic protection zone; they represent sites aimed at maintaining biodiversity and increasing fish resources, through the positioning of barriers, such as Tecnoreef, above the seabed. features EPSG:4258 CRS:84 12.3359153670556 12.5883561117594 44.3686110762234 44.5555333333335 other other text/xml other other other other geonode:marine_traffic No abstract provided GeoTIFF WCS fe_ssf_new marine_traffic EPSG:4326 CRS:84 20.2669892389832 21.5049808854221 37.9079004359109 38.9125002145786 other other text/xml other other other other geonode:marine_traffic_around_ke_vauhs maritime traffic - raster - WGS84 The dataset refers to 2015 and was built from www.marinetraffic.com GeoTIFF WCS marine_traffic_around_ke_vauhs EPSG:4326 CRS:84 20.2669892389832 21.5049808854221 37.9079004359109 38.9125002145786 other other text/xml other other other other geonode:marine_traffic_in_the_io_mycax maritime traffic - raster Average vessel density for 2017, data source: http://www.emodnet.eu/ GeoTIFF EPSG:4326 CRS:84 11.199107088 26.531442989 33.697737195 46.017323456 other other text/xml other other other other geonode:measurement_reducing_station Measurement reducing station in municipality Vrsar-Orsera measurement_reducing_station features EPSG:3765 CRS:84 13.61509110002797 13.615117441468284 45.21620121905378 45.216219836901246 other other text/xml other other other other geonode:merluccius_merluccius_eu_xbqhs Data from Mediterranean Sensitive Habitats (MEDISEH) project. The map shows the area where spawners of European hake (Merluccius merluccius) concentrate. In the framework of the Project it was agreed to restrict modeling to the adult females fraction of the populations using the length-at-maturity calculated from MEDITS or landing data (DCF) as threshold length. Aggregation areas for adults have been assessed through habitat suitability modeling, relating abundance information from surveys with environmental variables. features merluccius_merluccius_eu_xbqhs EPSG:4326 CRS:84 13.4695644378662 21.9294533482216 37.4000015258789 45.3220901489258 other other text/xml other other other other geonode:merluccius_merluccius_eu_zcyxv Data from Mediterranean Sensitive Habitats (MEDISEH) project. The map shows the area where recruits of European hake (Merluccius merluccius) concentrate. Due to the lack of specific studies on the dispersal behaviour of juveniles, it was assumed that the first separable modal component of the age group 0 was composed of specimens recently settled on the bottom sharing similar habitat preferences. The areas were identified through habitat suitability modeling techniques, relating abundance information from surveys with environmental variables. features merluccius_merluccius_eu_zcyxv EPSG:4326 CRS:84 14.1732338349764 21.6000003814697 36.2271755439893 43.678581237793 other other text/xml other other other other geonode:merlucius Merluccius merluccius - shapefile - WGS84 merlucius Kephalonia EPSG:4326 CRS:84 20.6167976240001 21.089653662 38.1681918150001 38.7512559890001 other other text/xml other other other other geonode:meteorological_station_network Meteorological station network in the Adriatic Sea. features EPSG:4258 CRS:84 12.077375 19.205 40.3416666675977 45.7814000009428 other other text/xml other other other other geonode:military_practice_areas Military training areas (land to sea and sea to land) according to the 2013 prefaction of the notice to Mariners (PREMESSA AGLI AVVISI AI NAVIGANTI 2013 Iistituto Idrografico della Marina). Emilia-Romagna area was updated in 2017. features EPSG:4258 CRS:84 12.2499999999001 18.7333333334665 40.3500000003997 45.2027071045079 other other text/xml other other other other geonode:military_practise_areas Areas restricted or dangerous to navigation , normally used for naval exercises and shooting published by IIM (Istituto Idrografico Marina Militare) features military_practise_areas EPSG:3857 CRS:84 11.833611111025654 19.000000000438398 38.88333333215062 44.89999999904968 other other text/xml other other other other geonode:monachus Monachus monachus - shapefile - WGS84 Kephalonia monachus EPSG:4326 CRS:84 20.327776117 20.871854931 37.9961594260001 38.691557867 other other text/xml other other other other geonode:monitoring_research Sea state monitoring stations offshore Emilia-Romagna region. The institutional wave buoy (Nausicaa) offshore Cesenatico operate since 2007, wherease the three wave buoys installed by eni on different platforma are linked to the regional network since 2011 monitoring_research features EPSG:4326 CRS:84 12.343611 12.6608330000001 44.2145829990572 44.522499999057 other other text/xml other other other other geonode:montenegro_territorial_waters Territorial waters as defined by the 1982 United Nations Convention on the Law of the Sea is a belt 12 nautical miles from baseline of a coastal country. Data set contains spatial data from JP Morsko dobro - data obtained within project CAMP with the consensus of Ministry of Sustainable Development and Tourism in the Government of Montenegro (24th May 2013). montenegro_territorial_waters Montenegrin Adriatic Sea features EPSG:4326 CRS:84 18.4257538754718 19.2661626003908 41.6600082275862 42.216533371833 other other text/xml other other other other geonode:montenegro_watersheds The data set shows the spatial distribution of the drainage basins in the Montenegrin Adriatic Sea. montenegro_watersheds features EPSG:4326 CRS:84 18.4385703720001 19.6198106890001 41.8479150000001 43.036867219 other other text/xml other other other other geonode:mooring_areas_venice_port Layer provided from Venice Port Authority: mooring area - zone di ancoraggio, in prossimità della rada, al di fuori delle bocche di porto mooring_areas_venice_port features EPSG:32633 CRS:84 12.34577762915641 12.557282688488538 45.302261010709884 45.431520575666944 other other text/xml other other other other geonode:moreracnjak Spatial distribution of fishing activity - specific type of gear -targeting Maja squinado moreracnjak features EPSG:3765 CRS:84 12.972822171165381 18.65434674152947 41.58036538828322 45.62382532154567 other other text/xml other other other other geonode:morerampon spatial distribution of fishing activity - dredge morerampon features EPSG:3765 CRS:84 12.972822171165381 18.65434674152947 41.58036538828322 45.62382532154567 other other text/xml other other other other geonode:muc_MUCSCORE output Module MUC in Emilia-Romagna Case study GeoTIFF WCS muc_MUCSCORE EPSG:3035 CRS:84 12.210684966155807 13.493932462376412 43.9460000486629 44.85168422555604 other other text/xml other other other other geonode:mullus_barbatus_red_mull_okvuo Data from Mediterranean Sensitive Habitats (MEDISEH) project. The map shows the area where recruits of Red mullet (Mullus barbatus) concentrate. Due to the lack of specific studies on the dispersal behaviour of juveniles, it was assumed that the first separable modal component of the age group 0 was composed of specimens recently settled on the bottom sharing similar habitat preferences. The areas were identified through habitat suitability modeling techniques, relating abundance information from surveys with environmental variables. features mullus_barbatus_red_mull_okvuo EPSG:4326 CRS:84 12.149676322937 19.5290699005127 40.6225395202637 45.7898216247559 other other text/xml other other other other geonode:mullus_barbatus_red_mull_whrcz Data from Mediterranean Sensitive Habitats (MEDISEH) project. The map shows the area where spawners of Red mullet (Mullus barbatus) concentrate. In the framework of the Project it was agreed to restrict modeling to the adult females fraction of the populations using the length-at-maturity calculated from MEDITS or landing data (DCF) as threshold length. Aggregation areas for adults have been assessed through habitat suitability modeling, relating abundance information from surveys with environmental variables. features mullus_barbatus_red_mull_whrcz EPSG:4326 CRS:84 12.8303594589233 21.9294533482216 36.2271755439893 45.3634757995605 other other text/xml other other other other geonode:mussel_farm Real or potential breeding areas - Emilia-Romagna. For the offical current see Shellfish farms in Emilia-Romagna (IT), 2020 aza features mussel_farm EPSG:4326 CRS:84 12.28499 12.76475 43.983099 44.75598 other other text/xml other other other other geonode:mussels_days_to_required_hvqrr The number of days required to reach the commercial size of 7 cm for shellfish was estimated through the simulation of the rearing cycle using a Scope for Growth model (RAC - R package for aquaculture). GeoTIFF EPSG:404000 CRS:84 12.158833335 18.575497435 39.724833335 45.766497585 other other text/xml other other other other geonode:mussels_days_to_required_ncjar The number of days required to reach the commercial size of 5 cm for shellfish was estimated through the simulation of the rearing cycle using a Scope for Growth model (RAC - R package for aquaculture). GeoTIFF EPSG:4326 CRS:84 12.2750009611879 12.925000962708221 43.9750010009289 44.79166766950571 other other text/xml other other other other geonode:mussels_days_to_required_voext The number of days required to reach the commercial size of 7 cm for shellfish was estimated through the simulation of the rearing cycle using a Scope for Growth model (RAC - R package for aquaculture). GeoTIFF EPSG:4326 CRS:84 12.2750009611879 12.925000962708221 43.9750010009289 44.79166766950571 other other text/xml other other other other geonode:mussels_days_to_required_ylrsg The number of days required to reach the commercial size of 5 cm for shellfish was estimated through the simulation of the rearing cycle using a Scope for Growth model (RAC - R package for aquaculture). GeoTIFF EPSG:4326 CRS:84 12.158833335 18.575497435000003 39.724833335 45.766497584999996 other other text/xml other other other other geonode:naravne_vrednote The list of natural values defines natural values and is intended for their protection. Data on the spatial distribution of valuable natural features in Slovenia and related attributable data are intended for the preparation of nature conservation guidelines for plans, programs, plans, spatial or other acts and their modifications or amendments and the preparation of management plans of protected areas. In addition, they allow for a variety of analyzes, benchmarking and help in operational conservation work. Last but not least, they are intended for landowners and raising awareness of the general public about the richness of the natural heritage of Slovenia or the natural values and the importance of their protection. Slovenian terrestrial area features naravne_vrednote EPSG:4326 CRS:84 13.5607798219488 13.9968234667427 45.4412793223526 45.6092235307841 other other text/xml other other other other geonode:national_coastlines Shapefile contains data on Adriatic coastline at a national level of detail. Polyline based shapefile combines available official data for Republic of Slovenia, Republic of Croatia - Istrian Region, Republic of Montenegro, Republic of Albania, and of Republic of Italy (ISPRA IT2006 coastline). features EPSG:4326 CRS:84 12.1519715793251 19.6097866937011 39.789731143078 45.8046239527334 other other text/xml other other other other geonode:national_marine_protecte_zmxqs Please cite the dataset as follows: MAPAMED, the database on Sites of interest for the conservation of marine environment in the Mediterranean Sea. MedPAN, UNEP/MAP/RAC-SPA. May 2016 release. features EPSG:4326 CRS:84 -5.82991260197487 35.8453687852797 30.6333333102442 45.7066008754915 other other text/xml other other other other geonode:national_protected_areas1 The data set shows the spatial distribution of areas in Slovenia, which are protected according to the regulations on nature conservation. Protected areas are divided into narrower protected areas (natural monument, strict nature reserve and nature reserve) and wider protected areas (national, regional and landscape parks) under the Nature Conservation Act. Areas protected by the regulations of local communities are informative. national_protected_areas1 Slovenian terrestrial area features EPSG:4326 CRS:84 13.5611462506571 13.9869871428128 45.4454648701796 45.5992162112627 other other text/xml other other other other geonode:natura_2000_coastal_and__bgvoi This dataset contains coastal and marine Natura 2000 sites in the Adriatic Ionian Region. Natura 2000 is the key instrument to protect biodiversity in the European Union. It is an ecological network of protected areas, set up to ensure the survival of Europes most valuable species and habitats. Natura 2000 is based on the 1979 Birds Directive and the 1992 Habitats Directive. This version covers the reporting in 2018. The original dataset (available at EEA website: https://www.eea.europa.eu/data-and-maps/data/natura-10#tab-data-visualisations) has been enriched by EMODnet Human activities (https://www.emodnet-humanactivities.eu/search-results.php?dataname=Natura+2000) and then filtered in PORTODIMARE to represent only coastal and marine sites in the Adriatic Ionian Region. features EPSG:4326 CRS:84 11.200969029 23.2250151530001 36.0491231010001 45.881780657 other other text/xml other other other other geonode:natura_2000_coastal_and__lxppf This dataset contains coastal and marine Natura 2000 sites in the Mediterranean. Natura 2000 is the key instrument to protect biodiversity in the European Union. It is an ecological network of protected areas, set up to ensure the survival of Europes most valuable species and habitats. Natura 2000 is based on the 1979 Birds Directive and the 1992 Habitats Directive. This version covers the reporting in 2018. The original dataset (available at EEA website: https://www.eea.europa.eu/data-and-maps/data/natura-10#tab-data-visualisations) has been enriched by EMODnet Human activities (https://www.emodnet-humanactivities.eu/search-results.php?dataname=Natura+2000) and then filtered in PORTODIMARE to represent only coastal and marine sites in the Mediterranean. features EPSG:4326 CRS:84 0.0 -1.0 0.0 -1.0 other other text/xml other other other other geonode:natura_2000_sites_veneto_jenbk Polygonal limits of Sites of Community Importance (SCI) and Special Protection Areas (SPAs). Natura2000 network features EPSG:3003 CRS:84 10.622890535678383 13.178086841570822 44.77116069938648 46.7220147291536 other other text/xml other other other other geonode:natural_heritage_pt Natural heritage point location - natural monuments features natural_heritage_pt EPSG:4326 CRS:84 14.203817159932 15.1697228264808 44.5190250379437 45.4913405694494 other other text/xml other other other other geonode:nature_charter_according_lfolf Localization of terrestrial habitat types classified according to the CORINE Biotopes European reference system features EPSG:3003 CRS:84 10.605849462924645 13.176023785515731 44.771411633205986 46.72227202451046 other other text/xml other other other other geonode:nephrops_norvegicus_norw_ciskz The map shows the area where recruits of Nephrops norvegicus concentrate (nursery areas). Recruits were considered as those specimens that have settled on the bottom, becoming available to the fishing gear in well-defined habitats at the end of their larval—pelagic stage and which remain in these habitats before dispersing or migrating. Due to the lack of specific studies on the dispersal behaviour of juveniles, it was assumed that the first separable modal component of the age group 0 was composed of specimens recently settled on the bottom sharing similar habitat preferences. Nursery areas have been assessed in the framework of MAREA-MEDISEH Project through habitat suitability modeling, relating abundance information from surveys with environmental variables. nephrops_norvegicus_norw_ciskz features EPSG:4326 CRS:84 14.14174652099 18.9273738861084 36.3137004732294 43.6286010742188 other other text/xml other other other other geonode:nephrops_norvegicus_norw_rddhd The map shows the area where adults of Nephrops norvegicus concentrate (potential spawning areas). In the framework of MAREA-MEDISEH Project it was agreed to restrict modeling to the adult females fraction of the populations using the length-at-maturity calculated from MEDITS or landing data (DCF) as threshold length. Aggregation areas for adults have been assessed through habitat suitability modeling, relating abundance information from surveys with environmental variables. features nephrops_norvegicus_norw_rddhd EPSG:4326 CRS:84 13.6361646652222 19.2151165008545 36.3247933776341 45.338508605957 other other text/xml other other other other geonode:no_take No abstract provided GeoTIFF WCS fe_ssf_new no_take EPSG:4326 CRS:84 20.2669892389832 21.5049808854221 37.9079004359109 38.9125002145786 other other text/xml other other other other geonode:no_take_PS No abstract provided GeoTIFF WCS no_take_PS msf EPSG:4326 CRS:84 20.266989238983175 21.50498088542212 37.90790043591094 38.91250021457861 other other text/xml other other other other geonode:no_take_TR No abstract provided no_take_TR GeoTIFF WCS msf EPSG:4326 CRS:84 20.266989238983175 21.50498088542212 37.90790043591094 38.91250021457861 other other text/xml other other other other geonode:no_take_zones_around_kep_jpqij Areas not allowed for fishing - raster - WGS84 No-take zones is a Boolean value (0 or 1). Zero values correspond to areas that fishing is not feasible. In the study area, aquaculture farms, banned areas and areas with bottom depths greater than 500m are considered as no-take zones due to the very low probability of a coastal vessel fishing or visiting these areas. Additional factors may be included according to National/regional regulations. GeoTIFF WCS no_take_zones_around_kep_jpqij EPSG:4326 CRS:84 20.2669892389832 21.5049808854221 37.9079004359109 38.9125002145786 other other text/xml other other other other geonode:no_trawling_areas1 This is dataset that represents all national sea waters of Slovenian sea except from areas where trawling is allowed. This is derived dataset from official dataset "Boundary of catch area for demersal trawls at a distance of 3,0 nautical miles). no_trawling_areas features EPSG:3912 CRS:84 13.456683485969032 13.74954709170661 45.476882558683684 45.622350892858044 other other text/xml other other other other geonode:no_trawling_areas2 No abstract provided no_trawling_areas features EPSG:3912 CRS:84 13.456683485969032 13.74954709170661 45.476882558683684 45.622350892858044 other other text/xml other other other other geonode:no_trawling_areas_in_rer Trawling restrictions in Emilia-Romagna (IT). The main restrictions are due to the presence of platforms and pipelines for the extraction and transport of hydrocarbons,the presence of areas of biological protection (ZTB), nursery, and environmental protection (marine protected areas, SCI and SPA). Other activities related to military defense may further restrict this activity. features EPSG:5659 CRS:84 12.189262987970947 13.461840899763144 43.8110707403835 45.00437299574948 other other text/xml other other other other geonode:o_g_extraction_concessio_bcvrf Concession area for the estraction of oil and gas in the Italian terrestrial area and continental shelf. Exclusive mineral titles, requested on a section of the research permit area in which a new field was found, with a maximum extension of 300 km2. Beyond the first validity period of 20 or 30 years, further extension periods of 10 and 5 years are envisaged. In the context of a hydrocarbon concession, such as the development of development wells and collection and treatment plants. features EPSG:4326 CRS:84 8.65219999999999 18.6667000000001 36.4833 46.0332999999999 other other text/xml other other other other geonode:o_g_extraction_platforms The database on offshore installations for hydrocarbon extraction was created in 2015 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset includes the name and ID number, location, operator, water depth, production start, current status, category and function of the installation. The OSPAR commission source covers data for Germany, Ireland, the Netherlands, Spain and the United Kingdom. In addition, data on Italian offshore installations have been collected and harmonized from the Italian Ministry of Economic Development, from the Norwegian Petroleum Directorate data on Norwegian installations, from the Danish Energy Agency data on Danish installations, from Marine Traffic and Helcom data on Polish and Russian installations in the Baltic Sea, from Marine Traffic data on Bulgarian, Russian and Ukrainian installations in the Black Sea, Lybian and Spanish installations in the Mediterranean Sea, from the Croatian Hydrocarbon Agency data on Croatian installations in the Adriatic Sea. The distance to coast (EEA coastline shapefile) has been calculated using the original data map projections, where available. In the other cases it was used the UTM WGS84 Zone projected coordinate system where data fall in. Compared with the previous version this new version has been updated for certain countries (IT, NO, DK). No updates are available from other sources of data. features EPSG:4326 CRS:84 -11.058547 32.7128000000001 5.68E-14 72.540575 other other text/xml other other other other geonode:o_g_extraction_platforms_italy List of marine structures installed in the Italian offshore. The list includes platforms (operative/ non operative) with emerged structure, subsea well solutions and temporary storage floating units. The data come from the official site of the Ministry of Economic Development. features EPSG:4326 CRS:84 12.343127 18.327114 36.5406380000001 45.1836340000001 other other text/xml other other other other geonode:o_g_requested_extraction_uszic In the research permit areas, in addition to the acquisition of geophysical data, it is possible to carry out one or more exploration wells; if the exploration well is successful, and a new reservoir is identified, the operator can present a request for a cultivation concession which, once conferred, allows the production of the same reservoir. All information relating to permits of research and the main news on the titles and on the reference standards are published in the Official Bulletin of Hydrocarbons and Geothermal Energy. o_g_requested_extraction_uszic features EPSG:4326 CRS:84 11.5022000000001 14.854 36.8677000000001 44.9000000000001 other other text/xml other other other other geonode:o_g_requested_research_p_unkhv Non-exclusive mining titles for the general study of large areas of territory; there is no limit on the extent of the area affected by prospecting; the title has a period of validity of one year and allows only the acquisition of geological and geophysical data. All information relating to the research permits and the main news on the titles and on the relevant legislation are published in the BUIG (Official Bulletin of Hydrocarbons and Geothermal Energy). o_g_requested_research_p_unkhv features EPSG:4326 CRS:84 8.65219999999999 18.9228000000001 36.6667 45.8666999999999 other other text/xml other other other other geonode:o_g_research_permit_area_ujarz Permits for the exploration of oil and gas in the Italian terrestrial area and continental shelf. The vector data is created starting from information given by the Italian Ministery of Economic Development (MISE). Exclusive mining titles that can be approved in areas with a maximum extension of 750 km2; the same area can be requested by several oil operators under competitive conditions. In addition to the first 3-year period, there are two possibilities for further extension periods of 3 years each; the suspension of the time period is also provided for reasons reasons. In the research permit, in addition to the acquisition of geophysical data, it is possible to carry out one or more exploration wells; In the positive case, a new field has been identified, the operator can present an application for a concession at the field itself. features EPSG:4326 CRS:84 7.73550000000017 18.9268000000001 36.0852 45.8667000000001 other other text/xml other other other other geonode:obalna_linija Coastline data represents the boundary of the sea and the length of the coast of Montenegro. features obalna_linija EPSG:32634 CRS:84 18.493344371825376 19.404180710185237 41.8283588208387 42.530139402053216 other other text/xml other other other other geonode:obalna_linija0 No abstract provided features obalna_linija EPSG:32634 CRS:84 18.493344371825376 19.404180710185237 41.8283588208387 42.530139402053216 other other text/xml other other other other geonode:obalna_voda_eutrifikacija_pnt The data set shows the spatial distribution of Eutrophication points in the Montenegrin Adriatic Sea. obalna_voda_eutrifikacija_pnt features EPSG:32634 CRS:84 18.527004972924445 19.348178891879172 41.83472428875532 42.49913644931777 other other text/xml other other other other geonode:occurence_of_delphinus_a_ipyuj REQUIRED: A brief narrative summary of the data set. occurence_of_delphinus_a_ipyuj features EPSG:4326 CRS:84 20.5415899560001 21.1232341750001 38.4181279210001 38.806185536 other other text/xml other other other other geonode:ocean_energy_facilities The geodatabase on Ocean Energy projects in the EU was created in 2014 by AZTI-Tecnalia for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources from all across the EU. It is updated every year, and is available for viewing and download on EMODnet - Human Activities web portal (www.emodnet-humanactivities.eu). The database contains points representing Ocean Energy project sites in the following countries: Belgium, Denmark, Finland, France, Ireland, Italy, Norway, Portugal, Russia, Spain, Sweden, The Netherlands and United Kingdom. Where available, each point has the following attributes: site code (ID_1), project code (ID), name, location, country, sea basin, distance to coast (metres), resource type (wave, tidal, salinity gradient, wave/wind), starting year, ending year, lease status, technology (Based on www.aquaret.com/), device, device scale (Full scale, prototype, etc.), project scale (Commercial, Demonstrator Array, etc.), project status (operational, completed, etc.), project capacity (KW), promoter, position info (it indicates if the attribute value is original from the source or has been estimated or calcultated the polygon centroid) and the studies conducted for the environmental assessment (EIA). features EPSG:4326 CRS:84 -28.446 43.653 27.9944 70.663598 other other text/xml other other other other geonode:offshore_sand_dredged The Adriatic studied sand deposits map with two layers: a)The potentially sand resources(offhore sand deposits); b) the dredged areas already exploited (offshore sand dredged). During the last decades the increasing amount of data acquired by ISMAR CNR provides unique opportunities to summarize knowledge of geology and shelf geomorphology with existing geotechnical and geophysical data that facilitate identification of sand resources. The volume of the entire potental fine sand available reservoir outcropping in the italian portion of the adriatic shelf seafloor has been extimated in ca. 270 x106 cubic metres. The amount of dredged material used costal nourishment in Adriatic since 1996 is 9.9 x106 cubic metres. features EPSG:32633 CRS:84 12.479246717887325 14.52192018964723 43.37620312696617 45.46051192370965 other other text/xml other other other other geonode:oil_and_gas_terminal_rer Methane gas and oil terminals in the Emilia-Romagna Region offshore features EPSG:4265 CRS:84 12.35536605880338 12.520650715594408 44.459007821059366 44.48400788056987 other other text/xml other other other other geonode:oil_spill_ancona No abstract provided features oil_spill_ancona EPSG:4326 CRS:84 13.6920171235232 13.8882697687 43.3813298362924 43.6232843665 2020-05-20T15:00:00.000Z,2020-05-20T16:00:00.000Z,2020-05-20T17:00:00.000Z,2020-05-20T18:00:00.000Z,2020-05-20T19:00:00.000Z,2020-05-20T20:00:00.000Z,2020-05-20T21:00:00.000Z,2020-05-20T22:00:00.000Z,2020-05-20T23:00:00.000Z,2020-05-21T00:00:00.000Z,2020-05-21T01:00:00.000Z,2020-05-21T02:00:00.000Z,2020-05-21T03:00:00.000Z,2020-05-21T04:00:00.000Z,2020-05-21T05:00:00.000Z,2020-05-21T06:00:00.000Z,2020-05-21T07:00:00.000Z,2020-05-21T08:00:00.000Z,2020-05-21T09:00:00.000Z,2020-05-21T10:00:00.000Z,2020-05-21T11:00:00.000Z,2020-05-21T12:00:00.000Z,2020-05-21T13:00:00.000Z,2020-05-21T14:00:00.000Z,2020-05-21T15:00:00.000Z,2020-05-21T16:00:00.000Z,2020-05-21T17:00:00.000Z,2020-05-21T18:00:00.000Z,2020-05-21T19:00:00.000Z,2020-05-21T20:00:00.000Z,2020-05-21T21:00:00.000Z,2020-05-21T22:00:00.000Z,2020-05-21T23:00:00.000Z,2020-05-22T00:00:00.000Z,2020-05-22T01:00:00.000Z,2020-05-22T02:00:00.000Z,2020-05-22T03:00:00.000Z,2020-05-22T04:00:00.000Z,2020-05-22T05:00:00.000Z,2020-05-22T06:00:00.000Z,2020-05-22T07:00:00.000Z,2020-05-22T08:00:00.000Z,2020-05-22T09:00:00.000Z,2020-05-22T10:00:00.000Z,2020-05-22T11:00:00.000Z,2020-05-22T12:00:00.000Z,2020-05-22T13:00:00.000Z,2020-05-22T14:00:00.000Z,2020-05-22T15:00:00.000Z,2020-05-22T16:00:00.000Z,2020-05-22T17:00:00.000Z,2020-05-22T18:00:00.000Z,2020-05-22T19:00:00.000Z,2020-05-22T20:00:00.000Z,2020-05-22T21:00:00.000Z,2020-05-22T22:00:00.000Z,2020-05-22T23:00:00.000Z,2020-05-23T00:00:00.000Z,2020-05-23T01:00:00.000Z,2020-05-23T02:00:00.000Z,2020-05-23T03:00:00.000Z,2020-05-23T04:00:00.000Z,2020-05-23T05:00:00.000Z,2020-05-23T06:00:00.000Z,2020-05-23T07:00:00.000Z,2020-05-23T08:00:00.000Z,2020-05-23T09:00:00.000Z,2020-05-23T10:00:00.000Z,2020-05-23T11:00:00.000Z,2020-05-23T12:00:00.000Z,2020-05-23T13:00:00.000Z,2020-05-23T14:00:00.000Z,2020-05-23T15:00:00.000Z,2020-05-23T16:00:00.000Z,2020-05-23T17:00:00.000Z,2020-05-23T18:00:00.000Z,2020-05-23T19:00:00.000Z,2020-05-23T20:00:00.000Z,2020-05-23T21:00:00.000Z,2020-05-23T22:00:00.000Z,2020-05-23T23:00:00.000Z,2020-05-24T00:00:00.000Z,2020-05-24T01:00:00.000Z,2020-05-24T02:00:00.000Z,2020-05-24T03:00:00.000Z,2020-05-24T04:00:00.000Z,2020-05-24T05:00:00.000Z,2020-05-24T06:00:00.000Z,2020-05-24T07:00:00.000Z,2020-05-24T08:00:00.000Z,2020-05-24T09:00:00.000Z,2020-05-24T10:00:00.000Z,2020-05-24T11:00:00.000Z,2020-05-24T12:00:00.000Z,2020-05-24T13:00:00.000Z,2020-05-24T14:00:00.000Z,2020-05-24T15:00:00.000Z,2020-05-24T16:00:00.000Z,2020-05-24T17:00:00.000Z,2020-05-24T18:00:00.000Z,2020-05-24T19:00:00.000Z,2020-05-24T20:00:00.000Z,2020-05-24T21:00:00.000Z,2020-05-24T22:00:00.000Z,2020-05-24T23:00:00.000Z,2020-05-25T00:00:00.000Z,2020-05-25T01:00:00.000Z,2020-05-25T02:00:00.000Z,2020-05-25T03:00:00.000Z,2020-05-25T04:00:00.000Z,2020-05-25T05:00:00.000Z,2020-05-25T06:00:00.000Z,2020-05-25T07:00:00.000Z,2020-05-25T08:00:00.000Z,2020-05-25T09:00:00.000Z,2020-05-25T10:00:00.000Z,2020-05-25T11:00:00.000Z,2020-05-25T12:00:00.000Z,2020-05-25T13:00:00.000Z,2020-05-25T14:00:00.000Z,2020-05-25T15:00:00.000Z,2020-05-25T16:00:00.000Z,2020-05-25T17:00:00.000Z,2020-05-25T18:00:00.000Z,2020-05-25T19:00:00.000Z,2020-05-25T20:00:00.000Z,2020-05-25T21:00:00.000Z,2020-05-25T22:00:00.000Z,2020-05-25T23:00:00.000Z,2020-05-26T00:00:00.000Z,2020-05-26T01:00:00.000Z,2020-05-26T02:00:00.000Z,2020-05-26T03:00:00.000Z,2020-05-26T04:00:00.000Z,2020-05-26T05:00:00.000Z,2020-05-26T06:00:00.000Z,2020-05-26T07:00:00.000Z,2020-05-26T08:00:00.000Z,2020-05-26T09:00:00.000Z,2020-05-26T10:00:00.000Z,2020-05-26T11:00:00.000Z,2020-05-26T12:00:00.000Z,2020-05-26T13:00:00.000Z,2020-05-26T14:00:00.000Z,2020-05-26T15:00:00.000Z,2020-05-26T16:00:00.000Z,2020-05-26T17:00:00.000Z,2020-05-26T18:00:00.000Z,2020-05-26T19:00:00.000Z,2020-05-26T20:00:00.000Z,2020-05-26T21:00:00.000Z,2020-05-26T22:00:00.000Z,2020-05-26T23:00:00.000Z,2020-05-27T00:00:00.000Z,2020-05-27T01:00:00.000Z,2020-05-27T02:00:00.000Z,2020-05-27T03:00:00.000Z,2020-05-27T04:00:00.000Z,2020-05-27T05:00:00.000Z,2020-05-27T06:00:00.000Z,2020-05-27T07:00:00.000Z,2020-05-27T08:00:00.000Z,2020-05-27T09:00:00.000Z,2020-05-27T10:00:00.000Z,2020-05-27T11:00:00.000Z,2020-05-27T12:00:00.000Z,2020-05-27T13:00:00.000Z,2020-05-27T14:00:00.000Z,2020-05-27T15:00:00.000Z other other text/xml other other other other geonode:otb_evf Bottom otter trawl (OTB) "Strascico" (swept area - km2) from AIS 2015. From CNR IRBIM ANCONA SUPREME Project North Adriatic Case study ( http://www.msp-supreme.eu/files/c-1-3-8-north-adriatic.pdf ) fisheries no_trawling_areas EPSG:4326 CRS:84 12.2429170000001 13.804444 43.9695000000001 45.7945560000001 other other text/xml other other other other geonode:pSCI_HR3000003_Vrsarski_otoci Area of testing site T2.2. Vrsarski otoci Marine NATURA 2000 site Vrsarski otoci (HR3000003) features pSCI_HR3000003_Vrsarski_otoci EPSG:4326 CRS:84 13.5633876657324 13.6109714575726 45.1401440055184 45.2002327294671 other other text/xml other other other other geonode:pa1 The data set shows the spatial distribution of areas in Coastal zone of Montenegro, which are protected according to the regulations on nature conservation. Protected areas are divided into narrower protected areas (natural monument, strict nature reserve and nature reserve) and wider protected areas (national, regional and landscape parks) under the Nature Conservation Act. pa1 features EPSG:32634 CRS:84 18.514057756949082 19.433415283654746 41.85286901849273 42.544137145129405 other other text/xml other other other other geonode:pagellus_erythrinus_comm_diizi Data from Mediterranean Sensitive Habitats (MEDISEH) project. The map shows the area where adults of common Pandora (Pagellus erythrinus) concentrate (potential spawning areas). In the framework of the Project it was agreed to restrict modeling to the adult females fraction of the populations using the length-at-maturity calculated from MEDITS or landing data (DCF) as threshold length. Aggregation areas for adults have been assessed through habitat suitability modeling, relating abundance information from surveys with environmental variables. pagellus_erythrinus_comm_diizi features EPSG:4326 CRS:84 13.1748914718628 21.9294533482216 36.2515799533143 45.7814903259277 other other text/xml other other other other geonode:pagellus_erythrinus_comm_yxbic Data from Mediterranean Sensitive Habitats (MEDISEH) project. The map shows the area where recruits of Common Pandora (Pagellus erythrinus) concentrate (nursery areas). Due to the lack of specific studies on the dispersal behaviour of juveniles, it was assumed that the first separable modal component of the age group 0 was composed of specimens recently settled on the bottom sharing similar habitat preferences. The areas were identified through habitat suitability modeling techniques, relating abundance information from surveys with environmental variables. pagellus_erythrinus_comm_yxbic features EPSG:4326 CRS:84 12.149676322937 19.5174427032471 38.1307373046875 45.7898216247559 other other text/xml other other other other geonode:parangal_plutajuci_tunolovac Spatial distribution of fishing activity - drifting long-line (targeting Thunnus thynus) parangal_plutajuci_tunolovac features EPSG:3765 CRS:84 12.972822171101006 18.65434674153249 41.580365388280484 45.62382532147769 other other text/xml other other other other geonode:parapenaeus_longirostris_ixqlh The map shows the area where adults of Parapenaeus longirostris concentrate (potential spawning areas). In the framework of MAREA-MEDISEH Project it was agreed to restrict modeling to the adult females fraction of the populations using the length-at-maturity calculated from MEDITS or landing data (DCF) as threshold length. Aggregation areas for adults have been assessed through habitat suitability modeling, relating abundance information from surveys with environmental variables. parapenaeus_longirostris_ixqlh features EPSG:4326 CRS:84 14.2082576751709 21.6599998474121 36.2271755439893 42.689811706543 other other text/xml other other other other geonode:parapenaeus_longirostris_nociz The map shows the area where recruits of Parapenaeus longirostris concentrate (nursery areas). Recruits were considered as those specimens that have settled on the bottom, becoming available to the fishing gear in well-defined habitats at the end of their larval—pelagic stage and which remain in these habitats before dispersing or migrating. Due to the lack of specific studies on the dispersal behaviour of juveniles, it was assumed that the first separable modal component of the age group 0 was composed of specimens recently settled on the bottom sharing similar habitat preferences. Nursery areas have been assessed in the framework of MAREA-MEDISEH Project through habitat suitability modeling, relating abundance information from surveys with environmental variables. parapenaeus_longirostris_nociz features EPSG:4326 CRS:84 14.0609951019287 19.4360466003418 36.2271755439893 43.661922454834 other other text/xml other other other other geonode:perimeter_of_regional_an_fljjx Areas delimiting established regional or national reserves features EPSG:3003 CRS:84 10.794975753107833 12.63291501899947 44.96321777675653 46.56738435492312 other other text/xml other other other other geonode:permanent_military_areas_ujjhn Derived from Military training areas (land to sea and sea to land) according to the 2013 Notice to Mariners (PREMESSA AGLI AVVISI AI NAVIGANTI 2013 Istituto Idrografico della Marina) features EPSG:4326 CRS:84 12.25 18.388333 40.384722 44.716667 other other text/xml other other other other geonode:pipelines The geodatabase on offshore pipelines in the EU was created in 2017 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources from all over the EU (plus Norway). The database contains lines representing the actual routes of offshore pipelines (where available) in the following countries: Croatia, Denmark, Estonia, Finland, Germany, Ireland, Netherlands, Norway, Poland, Russia, Spain (Andalucía). Each line has the following harmonized attributes (where available): status (in service, decommissioned, under construction, proposed, planned), country, code, name, year, medium (air, condensate, control, cooling water, gas, geothermal heating, glycol, methanol, oil, sewage, water), operator, from and to locality or facility, length (metres) and size (inches). features EPSG:4326 CRS:84 -11.0591725689999 28.142279526 35.99550515 71.5687062220001 other other text/xml other other other other geonode:pipelines_emilia_romagna_tnoaa Subsea pipelines (operational or in disuse) position was provided by Eni S.p.a.. Such infrastructures connect several oil & gas platforms and the central collection stations on the mainland. features pipelines_emilia_romagna_tnoaa EPSG:4326 CRS:84 12.2813752051813 14.3595201126922 43.5925309759295 44.7841342486591 other other text/xml other other other other geonode:pipelines_gas Pipeline gas in testing activity-T.2.2. pipelines_gas features EPSG:3765 CRS:84 13.614796920979643 13.639808197603033 45.12503889095393 45.2254422636581 other other text/xml other other other other geonode:pipelines_italy_schematic The data comes from the website of the Italian Ministry of Economic Development, its contain only the schematic routes between marine platforms and marine platforms and storage and treatment terminals on land. pipelines_italy_schematic features EPSG:4326 CRS:84 12.2644999999999 17.2144440000001 36.5406380000001 44.689089 other other text/xml other other other other geonode:polygonal_municipalities_ijmem Polygonal municipalities boundaries features EPSG:3003 CRS:84 10.605864526804293 13.178080473518827 44.771158588668044 46.72218091191576 other other text/xml other other other other geonode:polygonal_regional_bound_uitei Polygonal regional boundary of Veneto Region features EPSG:3003 CRS:84 10.605864528917827 13.178080474770233 44.771158583331726 46.722180905896444 other other text/xml other other other other geonode:port_and_harbour Vector data have been provided by Shape project partners. &quot;Shape Adriatic Atlas&quot; administrators have harmonized all the data and their attributes in a unique layer covering the entire adriatic coast. The original data in Italy has been collected from ISPRA database, updated and integrated by Shape Project partners on the base of Port Authorities informations. features port_and_harbour EPSG:4326 CRS:84 12.2325518244362 20.0037867045529 39.7943576931082 45.7970789659181 other other text/xml other other other other geonode:port_and_harbour_it Data on major ports and harbours in the italian portion of Adriatic sea. Vector data have been provided by Shape project partners. "Shape Adriatic Atlas" administrators have harmonized all the data and their attributes in a unique layer covering the entire adriatic italian coast. The original data in Italy has been collected from ISPRA database, updated and integrated by Shape Project partners on the base of Port Authorities informations. features EPSG:4258 CRS:84 12.2325518244362 18.4924917679746 39.7943576940362 45.7970789668609 other other text/xml other other other other geonode:port_entrance The vectors data have been edited by Istituto Idrografico della Marina - Italy (Electronic Navigational Charts). Shape Projact Adriatic Atlas administrators have been authorized by IIM to processed ENC data for project purposes. aza port_entrance features EPSG:4326 CRS:84 12.3135487579356 12.529394996 44.4691626870753 44.5202568976448 other other text/xml other other other other geonode:port_of_montenegro Data on ports in the Montenegrin portion of Adriatic sea. port_of_montenegro Montenegrin Adriatic Sea features EPSG:32634 CRS:84 18.533720000000127 19.202792000000063 41.910976976474885 42.46239327516545 other other text/xml other other other other geonode:ports_location Data related to ports location in Istria county according to Spatial Plan of the Istria county (2016.). Data refer to open port area for public transport, fishing, and sports ports. features EPSG:3765 CRS:84 14.038370410118102 14.060248246348687 45.013078647429445 45.04152135110889 other other text/xml other other other other geonode:posidonia Posidonia settlements in Adriatic sea. This layer is the combination of posidonia settlement harvested from Hazadr project partners. posidonia features EPSG:32633 CRS:84 13.651746021272587 18.809774976037893 39.7789626647794 45.13576375248235 other other text/xml other other other other geonode:posidonia_4326 Posidonia - shapefile - WGS84 According to Decision 167378/14-7-2007 and Decision (2442/51879, 17 May 2016) of the Minister of Rural Development and Food features EPSG:4326 CRS:84 20.372383805 21.4876324700001 37.927355225 38.8833684630001 other other text/xml other other other other geonode:posidonia_around_kephalo_buixd Posidonia - shapefile - WGS84 According to Decision 167378/14-7-2007 and Decision (2442/51879, 17 May 2016) of the Minister of Rural Development and Food features EPSG:2100 CRS:84 19.380588578901477 21.639597507312402 37.50598680106301 39.97506659937092 other other text/xml other other other other geonode:poste The data set shows the spatial distribution fishing post. The fishing post is a place on the coast where, after stocking the flock, the net is pulled out or pulled. It is a part of the coast with a gravelly or sandy bottom, which is not fenced and where no pontoon or mule has been built, is a place where the net with the catch can be pulled ashore. Fishing posts are used exclusively at night and in the early morning hours, when the activity of fishing is performed in this way. For the rest of the day, they can be used as swimming pools. poste features EPSG:32634 CRS:84 18.502437546494274 18.76775438782335 42.403371727296594 42.51845279376047 other other text/xml other other other other geonode:potential_seabirds_sites_qdhsm Potential Seabirds sites grid in the Adriatic is a dataset developed by UNEP-MAP-RAC/SPA (2010), which considers the “pelagic distribution of Mediterranean seabird of conservation concern. Potential sites in open seas”. For more information see UNEP-MAP-RAC/SPA. 2010. Report presenting a georeferenced compilation on bird important areas in the Mediterranean open seas. By Requena, S. and Carboneras, C. Ed. RAC/SPA, Tunis: 39pp. Link: https://www.cbd.int/doc/meetings/mar/ebsaws-2014-03/other/ebsaws-2014-03-submission-rac-spa-7-en.pdf features potential_seabirds_sites_qdhsm EPSG:3035 CRS:84 12.00299036243656 19.45817840413406 41.07341701483037 45.83173138880385 other other text/xml other other other other geonode:powerlines Underwater cables and powerlines; The vector data derive from electronic nautichal charts provided to the Shape Project by the Italian Hydrographic Institute of Navy (IIM -Istituto Idrografico della Marina Militare). features EPSG:4326 CRS:84 12.3039476 18.9736238 39.9769839 45.3338277 other other text/xml other other other other geonode:pridnena_koca Demersal or bottom trawling covers several gear types, all of which use a cone-like net with a closed-end (cod-end) that holds the catch. These nets are towed by one or two boats and are designed to catch fish living at great depths or on the bottom of the sea. pridnena_koca features EPSG:3765 CRS:84 12.972829067096589 18.654393665871428 41.58037898845414 45.623770034504496 other other text/xml other other other other geonode:protecged_speciest The data set shows the spatial distribution of RAC-SPA protected species in Boka Kotorska Bay. protecged_speciest features EPSG:32634 CRS:84 18.53409668929251 18.770349087555825 42.39166291951573 42.5063028388259 other other text/xml other other other other geonode:protected_areas Data represents the localisation of three protected areas near the municipality of Neum. The first protected area is Hutovo Blato, a nature and bird reserve located in Bosnia and Herzegovina. The second one is also Hutovo blato, with a different category of vulnerability. The third represents Popovo polje, a protected landscape. Popovo polje is a karstic field in Bosnia and Herzegovina, located in a southernmost region of the country, near the Adriatic coast. Protected areas Bosnia and Herzegovina EPSG:3035 CRS:84 17.64705869751173 18.037260722105213 42.84506642805603 43.11715197481478 other other text/xml other other other other geonode:protected_areas1 The dataset contains data on individual nationally designated sites and designations. Data is provided by European Environment Agency and combined with data from Slovenian Environmental Agency (SL, MN, Hr, AL) features EPSG:4326 CRS:84 13.3858266402849 19.6396983810067 40.1580293265398 45.6341287159663 other other text/xml other other other other geonode:prova3 Spatial distribution of CEA score in Emilia-Romagna marine area GeoTIFF WCS prova3 EPSG:3035 CRS:84 12.20757723138147 13.497225102174276 43.94589651574759 44.854004435971824 other other text/xml other other other other geonode:ps_evf Purse seine (PS) "Circuizione" (operations) from AIS 2015. From CNR IRBIM ANCONA SUPREME Project North Adriatic Case study ( http://www.msp-supreme.eu/files/c-1-3-8-north-adriatic.pdf ) fisheries small scale fisheries EPSG:4326 CRS:84 12.2429169997198 13.8044440002904 43.9694999994255 45.7945560001593 other other text/xml other other other other geonode:ptm_evf Pelagic pair trawl (PTM) "Volanti" (swept km) from AIS 2015. From CNR IRBIM ANCONA SUPREME Project North Adriatic Case study ( http://www.msp-supreme.eu/files/c-1-3-8-north-adriatic.pdf ) fisheries Habitat_types_Slo_adriatic no_trawling_areas EPSG:4326 CRS:84 12.2429170000001 13.804444 43.9695000000001 45.7945560000001 other other text/xml other other other other geonode:purse_seiner_fishing_eff_bfbuk Spatial distribution of fishing activity for purse seiners - raster - WGS84 In the study area (central Ionian Sea), primary VMS data for purse seine provided by the Hellenic Ministry of Mercantile Marine and Island Policy (October 2008 until May 2011) were used to estimate the fishing effort expressed in number of fishing days by gross tonnage (days at sea * GT). GeoTIFF WCS purse_seiner_fishing_eff_bfbuk EPSG:4326 CRS:84 20.2669892389832 21.5049808854221 37.9079004359109 38.9125002145786 other other text/xml other other other other geonode:raja_clavata_thornback_r_qnxpq Data from Mediterranean Sensitive Habitats (MEDISEH) project. The map shows the area where recruits of Thornback ray (Raja clavata) concentrate. Due to the lack of specific studies on the dispersal behaviour of juveniles, it was assumed that the first separable modal component of the age group 0 was composed of specimens recently settled on the bottom sharing similar habitat preferences. The areas were identified through habitat suitability modeling techniques, relating abundance information from surveys with environmental variables. raja_clavata_thornback_r_qnxpq features EPSG:4326 CRS:84 14.14174652099 14.6824007034302 36.3425420835853 36.5000152587891 other other text/xml other other other other geonode:raja_clavata_thornback_r_uiret Data from Mediterranean Sensitive Habitats (MEDISEH) project. The map shows the area where spawners of Thornback ray (Raja clavata) concentrate. In the project framework it was agreed to restrict modeling to the adult females fraction of the populations using the length-at-maturity calculated from MEDITS or landing data (DCF) as threshold length. Aggregation areas for adults have been assessed through habitat suitability modeling, relating abundance information from surveys with environmental variables. features raja_clavata_thornback_r_uiret EPSG:4326 CRS:84 14.14174652099 21.9294533482216 36.3447606841007 39.25 other other text/xml other other other other geonode:ratachabitat Polygon based shapefile on habitat in proposed MPA "Ratac" Montenegrin Adriatic Sea. ratachabitat features EPSG:32634 CRS:84 19.05310920364894 19.070636459340957 42.115523470045595 42.12799016163561 other other text/xml other other other other geonode:register_nepremicne_kult_ekzev Data in eVRD layer consist of a data protection regime of cultural heritage and the data register of immovable cultural heritage. Information about protection regimes are described and explained in the Manual of legal protection regimes that should be taken into account when planning and developments in the areas of cultural heritage (http://giskds.situla.org/evrdd/P_11_11_02.htm). Data taken from the registry, further describe and explain the features, which make the unit or the area is defined as the cultural heritage. register_nepremicne_kult_ekzev features EPSG:3912 CRS:84 13.406919054931159 13.98741224680336 45.41977016608868 45.621962746289555 other other text/xml other other other other geonode:rer_project_area Sea area from Emilia-Romagna coastline to the continental platform; northern and southern limits fit with the boundaries of the 8° Maritime Rescue Sub Centre of Ravenna (Direzione Marittima) features rer_project_area EPSG:4326 CRS:84 12.2399753093299 13.4602164048308 43.9681821272006 44.8484960257158 other other text/xml other other other other geonode:rer_project_area0 The case study of Emilia-Romagna includes the marine area facing the Region; it extends around 70 km from the coastline to the limits of the Italian continental shelf. The northern and southern limits fit with the boundaries of the 8° Maritime Rescue Sub Centre of Ravenna (Direzione Marittima). The total water surface is of 5256 km2, and is characterized by three different jurisdictional zones: 8% inner water (from the shoreline to the baseline); 40% territorial water (within the 12 Nautical Miles); 52% high seas. features rer_project_area EPSG:4326 CRS:84 12.2399753093299 13.4602164048308 43.9681821272006 44.8484960257158 other other text/xml other other other other geonode:restocking_zones Structures and areas dedicated to fish restocking and nuersery protection. features restocking_zones EPSG:3857 CRS:84 12.344538999984671 18.269369802443325 39.87282103377096 45.74737478489992 other other text/xml other other other other geonode:restricted_areas_port_entrance Port entrance restriction zones; vectors data have been created by Istituto Idrografico della Marina - Italy (Electronic Navigational Charts). Shape Project Adriatic Atlas administrators have been authorized by IIM to processed ENC data for project purposes. features EPSG:4326 CRS:84 12.3137767 18.0822047 40.6546612 45.7777938745046 other other text/xml other other other other geonode:river_basin0 Data represent the river basin of Adriatic sea for the area of Bosnia and Herzegovina. Data represents the Neretva river basin of Adriatic sea for the area of Bosnia and Herzegovina, with a surface of 6042,5 km2.provided river_basin features EPSG:3035 CRS:84 16.999139468498647 18.511469574982883 42.595882324393884 43.95653922068476 other other text/xml other other other other geonode:rocks Croatian rocks habitats as a part of Croatian habitat map features G.3.4._Infralittoral_rocks_and_gravels EPSG:3765 CRS:84 13.599130872482775 18.630919244510746 42.39585565979835 45.68573422088782 other other text/xml other other other other geonode:sacca_di_goro_nursery_em_fjuer Nursery for clams restocking. The nursery areas have been mapped as indicated by the regional service SVILUPPO DELL'ECONOMIA ITTICA E DELLE PRODUZIONI ANIMALI. The coordinates of the vertices generally come from official regional resolutions, in other cases the mentioned service provided the shp poligons. features EPSG:4258 CRS:84 12.2473961125201 12.3663491935002 44.7571627137897 44.8435160736431 other other text/xml other other other other geonode:safety_zone_around_offsh_luesb Safety zone that comprehends installation and offshore infrastructures for the exploitation of the natural resources (polygon shape). In general anchoring, fishing, transit and any other maritime activities are restricted. The safety zone is needed to protect persons and vessels from the hazards associated with an oil spill from an accidental collision. - The vectors data have been edited by Istituto Idrografico della Marina - Italy (Electronic Navigational Charts). Shape Projact Adriatic Atlas administrators have been authorized by IIM to processed ENC data for project purposes. features EPSG:4326 CRS:84 12.2823812 18.3533506000001 40.8857396000001 45.3187098000001 other other text/xml other other other other geonode:safety_zone_around_platforms Safety zone radius 200m and 500 m around offshore infrastructures for the exploitation of the natural resources stored in the seabed. In general anchoring, fishing, transit and any other maritime activities are forbidden. Safety zone is needed to protect persons and vessels from the hazards associated with an oil spill from an accidental collision. - The vector data were created starting from information given by the Italian Ministery of Economic Development.The correct reference system is Gauss-Boaga; some shift can be caused by data projection in ETRS89 geographic system. Buffer zones deriving from legislative documents and ordinances of Ports Authorities features EPSG:4258 CRS:84 12.3368866683851 18.333354236309 36.5361305342776 45.1879916914634 other other text/xml other other other other geonode:sardina_pilchardus_europ_mnwzv Data from Mediterranean Sensitive Habitats (MEDISEH) project. The map shows the area where spawners of European pilchard (Sardina pilchardus) concentrate. Spawning areas have been assessed through the use of ichthyoplankton surveys data with environmental variables to feed habitat suitability modeling techniques for the idenitification of spawning grounds of European pilchard. features sardina_pilchardus_europ_mnwzv EPSG:4326 CRS:84 12.2326184667969 22.734023361571 36.1328918984497 45.1143830209351 other other text/xml other other other other geonode:sardina_pilchardus_europ_uulkj Data from Mediterranean Sensitive Habitats (MEDISEH) project. Acoustic surveys data were used for the identification and the modeling of nursery grounds of European pilchard (Sardina pilchardus). The application of habitat suitability modeling techniques with the use of environmental data were carried out in order to obtain potential nursery grounds of European pilchard. sardina_pilchardus_europ_uulkj features EPSG:4326 CRS:84 12.1916563391113 22.7176357073084 36.2142431805642 45.64306 other other text/xml other other other other geonode:scomber_colias_atlantic__lwdyq Data from Mediterranean Sensitive Habitats (MEDISEH) project. Pelagic trawl surveys data were used for the identification and the modeling of nursery grounds of Atlantic chub mackerel (Scomber colias). The application of habitat suitability modeling techniques with the use of environmental data were carried out in order to obtain potential nursery grounds of Atlantic chub mackerel. (http://mareaproject.net/contracts/5/reporting/) scomber_colias_atlantic__lwdyq features EPSG:4326 CRS:84 12.2532095627209 22.7346704942145 36.1095954741759 45.7096142281436 other other text/xml other other other other geonode:scomber_colias_atlantic__vfdvd Data from Mediterranean Sensitive Habitats (MEDISEH) project. The map shows the area where spawners of Atlantic chum mackerel (Scomber colias) concentrate. Spawning areas have been assessed through the use pelagic trawl and acoustic survey data with environmental variables to feed habitat suitability modeling techniques for the idenitification of spawning grounds of Atlantic chum mackerel. (http://mareaproject.net/contracts/5/reporting/) scomber_colias_atlantic__vfdvd features EPSG:4326 CRS:84 12.3294384123303 22.7346704942145 36.1095954741759 45.752420234125 other other text/xml other other other other geonode:scomber_scombrus_atlanti_sacnh Data from Mediterranean Sensitive Habitats (MEDISEH) project. The map shows the area where recruits of Atlantic mackerel (Scomber scombrus) concentrate for the early summer period 2001–2010. The areas were identified through habitat suitability modeling techniques, relating abundance information from surveys with environmental variables. (http://mareaproject.net/contracts/5/reporting/) scomber_scombrus_atlanti_sacnh features EPSG:4326 CRS:84 12.30633216526 22.7346704942145 36.1095954741759 45.7051947185 other other text/xml other other other other geonode:sea_benthos_points Croatian marine habitats according to national habitat classification sea_benthos_points features EPSG:3765 CRS:84 13.604675893853342 18.520164744903514 42.433180842046895 45.1721817456223 other other text/xml other other other other geonode:sea_benthos_polygons Marine habitats according to Croatian national classification features sea_benthos_polygons EPSG:3765 CRS:84 13.20412145797051 18.658350441640398 42.12547862614827 45.624052661957315 other other text/xml other other other other geonode:seabass_days_to_required_dscmm The number of days required to reach the commercial size of 500 g for seabass was estimated through the simulation of the rearing cycle using a Scope for Growth model (RAC - R package for aquaculture). GeoTIFF EPSG:4326 CRS:84 13.391669593 13.733336123 45.491667739 45.633334349 other other text/xml other other other other geonode:seabass_days_to_required_oeeph The number of days required to reach the commercial size of 500 g for seabass was estimated through the simulation of the rearing cycle using a Scope for Growth model (RAC - R package for aquaculture). GeoTIFF EPSG:4326 CRS:84 19.358336258 23.225002925 36.716667684 40.00833435095043 other other text/xml other other other other geonode:seabass_days_to_required_rbrqq The number of days required to reach the commercial size of 350 g for seabass was estimated through the simulation of the rearing cycle using a Scope for Growth model (RAC - R package for aquaculture). GeoTIFF EPSG:4326 CRS:84 19.358336258 23.225002925 36.716667684 40.00833435095043 other other text/xml other other other other geonode:seabass_days_to_required_rusta The number of days required to reach the commercial size of 350 g for seabass was estimated through the simulation of the rearing cycle using a Scope for Growth model (RAC - R package for aquaculture). GeoTIFF EPSG:4326 CRS:84 13.391669593 13.733336123 45.491667739 45.633334349 other other text/xml other other other other geonode:seabed_erosion_emilia_ro_vuhsp features seabed_erosion_emilia_ro_vuhsp EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 geonode:seabed_of_montenegrin_ad_zgzow Polygon based shapefile on seabed in Montenegrin Adriatic Sea. Montenegrin Adriatic Sea features seabed_of_montenegrin_ad_zgzow EPSG:4326 CRS:84 18.483943323818 19.393478208706 41.8227879932126 42.5171317672709 other other text/xml other other other other geonode:seabream_days_to_require_duuzu The number of days required to reach the commercial size of 500 g for seabream was estimated through the simulation of the rearing cycle using a Scope for Growth model (RAC - R package for aquaculture). GeoTIFF EPSG:4326 CRS:84 13.391669593 13.733336123 45.491667739 45.633334349 other other text/xml other other other other geonode:seabream_days_to_require_erhvd The number of days required to reach the commercial size of 500 g for seabream was estimated through the simulation of the rearing cycle using a Scope for Growth model (RAC - R package for aquaculture). GeoTIFF EPSG:4326 CRS:84 19.358336258 23.225002925 36.716667684 40.00833435095043 other other text/xml other other other other geonode:seabream_days_to_require_rdhtb The number of days required to reach the commercial size of 350 g for seabream was estimated through the simulation of the rearing cycle using a Scope for Growth model (RAC - R package for aquaculture). GeoTIFF EPSG:4326 CRS:84 13.391669593 13.733336123 45.491667739 45.633334349 other other text/xml other other other other geonode:seabream_days_to_require_yrass The number of days required to reach the commercial size of 350 g for seabream was estimated through the simulation of the rearing cycle using a Scope for Growth model (RAC - R package for aquaculture). GeoTIFF EPSG:4326 CRS:84 19.358336258 23.225002925 36.716667684 40.00833435095043 other other text/xml other other other other geonode:seine_fleet No abstract provided seine_fleet GeoTIFF WCS fe_ssf_new EPSG:4326 CRS:84 20.2669892389832 21.5049808854221 37.9079004359109 38.9125002145786 other other text/xml other other other other geonode:shellfish_farms_in_emili_ttjkk Mussels and clams farms:marine in the inland waters The coordinates of the farms have been provided by the Development Service of the Fish Economy and of the animal production that manages the release of the maritime state property concessions. The classification of farms in accordance with Regulation (EC) no. 853/2004 has been taken care of by the Veterinary Service and Food Hygiene. features EPSG:25833 CRS:84 12.171863764205357 12.288336511866799 44.49093033575901 44.81880361639807 other other text/xml other other other other geonode:sidrista_m The spatial data show anchorage areas in Boka Kotorska Bay (Montenegro). sidrista_m features EPSG:32634 CRS:84 18.510761048594482 18.768649283611474 42.35191081546094 42.515063591681674 other other text/xml other other other other geonode:significant_wave_height__hvhua The Significant Wave Height (90th percentile) was estimated from satellite data (CMEMS, MEDSEA_HINDCAST_WAVES_006_012) and mapped in order to be used as criterion within the Spatial Multi-Criteria Evaluation process for the aquaculture suitability evaluation. GeoTIFF casestudies EPSG:4326 CRS:84 13.3916695912679 13.733336257934532 45.4916676839192 45.63333435058585 other other text/xml other other other other geonode:significant_wave_height_greece The Significant Wave Height (90th percentile) was estimated from satellite data (CMEMS, MEDSEA_HINDCAST_WAVES_006_012) and mapped in order to be used as criterion within the Spatial Multi-Criteria Evaluation process for the aquaculture suitability evaluation. GeoTIFF WCS significant_wave_height_greece EPSG:4326 CRS:84 19.358336258 23.225002925 36.716667684 40.00833435095043 other other text/xml other other other other geonode:significant_wave_height_italy The Significant Wave Height (90th percentile) was estimated from satellite data (CMEMS, MEDSEA_HINDCAST_WAVES_006_012) and mapped in order to be used as criterion within the Spatial Multi-Criteria Evaluation process for the aquaculture suitability evaluation. GeoTIFF EPSG:4326 CRS:84 12.158833335 18.575497435 39.724833335 45.766497585 other other text/xml other other other other geonode:slovenian_marine_habitat_ypmlv Layer represents results of classification and presentation of benthic habitat types from underwater sampling from 1998 to 2017. For coordination purposes are used various definitions of habitat types most commonly used in the Mediterranean area slovenian_marine_habitat_ypmlv features EPSG:3794 CRS:84 13.382654287699612 13.749300528039077 45.47576641784685 45.63284272582208 other other text/xml other other other other geonode:slovenian_reference_area An ad-hoc layer representing reference area to support Portodimare geoportal modules slovenian_reference_area Slovenian terrestrial area features EPSG:3794 CRS:84 13.296197005650926 13.77072710211068 45.4318784556942 45.646149266347095 other other text/xml other other other other geonode:small_scale_fishery_vl_0_khwhs Layer about small scale fishery, vessel Length 01-12 meters. The layer was cleaned of the feature with gridcode = 5 (very low class). features small_scale_fishery_vl_0_khwhs EPSG:4326 CRS:84 -5.44288500000001 33.487115 34.650167626 45.770167626 other other text/xml other other other other geonode:small_scale_fishery_vl_1_arjxv Layer about small scale fishery, vessel Length 12-24 meters. The layer was cleaned of the feature with gridcode = 5 (very low class). small_scale_fishery_vl_1_arjxv features EPSG:4326 CRS:84 -5.44288500000001 33.527115 34.650167626 45.780167626 other other text/xml other other other other geonode:sole_sanctuary No abstract provided features sole_sanctuary EPSG:4326 CRS:84 12.9261257946541 13.5250631021559 44.1738904708019 44.7004493198504 other other text/xml other other other other geonode:solea_solea_common_sole__xidpl Data from Mediterranean Sensitive Habitats (MEDISEH) project. The map shows the area where recruits of common sole (Solea solea) concentrate (nursery areas) in GSA 17. Due to the lack of specific studies on the dispersal behaviour of juveniles, it was assumed that the first separable modal component of the age group 0 was composed of specimens recently settled on the bottom sharing similar habitat preferences. The areas were identified through habitat suitability modeling techniques, relating abundance information from surveys with environmental variables. (http://mareaproject.net/contracts/5/reporting/) solea_solea_common_sole__xidpl features EPSG:4326 CRS:84 12.2410593032837 13.8146705627441 43.2373504638672 45.7853965759277 other other text/xml other other other other geonode:solea_solea_common_sole__zsacf Data from Mediterranean Sensitive Habitats (MEDISEH) project. The map shows the area where adults of common sole (Solea solea) concentrate (potential spawning areas) in GSA 17. In the framework of the Project it was agreed to restrict modeling to the adult females fraction of the populations using the length-at-maturity calculated from MEDITS or landing data (DCF) as threshold length. Aggregation areas for adults have been assessed through habitat suitability modeling, relating abundance information from surveys with environmental variables. (http://mareaproject.net/contracts/5/reporting/) solea_solea_common_sole__zsacf features EPSG:4326 CRS:84 12.2313098907471 14.025990486145 43.2508354187012 45.7525024414062 other other text/xml other other other other geonode:spami_specially_protecte_fwxzu Through the Protocol concerning Specially Protected Areas and Biological Diversity in the Mediterranean (SPA/BD Protocol), the Contracting Parties to the Barcelona Convention established the List of Specially Protected Areas of Mediterranean Importance (SPAMIs List) (http://www.rac-spa.org/spami). The list aims to promote cooperation in the management and conservation of natural areas and protection of threatened species and their habitats. The conservation of the natural heritage is then the basic aim that must characterize the SPAMIs. In detail the list may include the following sites: (1) are of importance for conserving the components of biological diversity in the Mediterranean; (2) contain ecosystems specific to the Mediterranean area or the habitats of endangered species; (3) are of special interest at the scientific, aesthetic, cultural or educational level. Please cite the dataset as follows: MAPAMED, the database on Sites of interest for the conservation of marine environment in the Mediterranean Sea. MedPAN, UNEP/MAP/SPA-RAC. November 2017 release. features spami_specially_protecte_fwxzu EPSG:4326 CRS:84 -4.37934635126387 35.7853580580134 33.2188825188361 45.7052844886313 other other text/xml other other other other geonode:spatial_distribution_of__adljw Wind speed Uw (horizontal wind speed at 10m height above the sea surface) is the considered parameter. Mean wind speed contours are at the locus of sites where the annual and seasonal mean values of wind speed is constant. This constant value (in m/s) is depicted on each contour. Seasonal resolution: annual – all months; autumn – September, October, November; winter – December, January, February; spring – March, April, Mat; summer – June, July, August.Data are extracted by the Wind and Wave Atlas of the Mediterranean Sea. The atlas is the result of the Medatlas project led between 1999 and 2004 by a consortia of six partners (NTU - Greece, CS SI – France, ISMAR-CNR – Italy, Thetis – Italy, Semantic TS – France, Meteo France – France) and that was funded by the former Western European Union – WEAO Research Cell. The main objective of the atlas was to provide reliable long term wind and wave statistics at specified points of the Mediterranean Sea (at about 50 km intervals) and to provide derived maps of main parameters distribution. Citation: COMMISSION REGULATION (EU) No 268/2010 of 29 March 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards the access to spatial data sets and services of the Member States by Community institutions and bodies under harmonised conditions. Wind and wave statistics and maps were produced by model data provided by the European Centre for Medium-Range Weather Forecast (ECMWF, Reading, UK); model data were retrieved for the period June 1992 – June 2002. Wind speed, wave height and wave period model data were calibrated through satellite data (in particular those acquired by: Topex altimeter, ERS1-2 altimeter, ERS1-2 scatterometer) features spatial_distribution_of__adljw EPSG:4326 CRS:84 12.8564799346143 19.3857209346126 39.9712401137243 45.1679829504577 other other text/xml other other other other geonode:spatial_distribution_of__hchay Significant wave height Hs is the considered parameter. Mean wave height contours are at the locus of sites where the annual and seasonal mean values of wave height is constant. This constant value (in m) is depicted on each contour. Seasonal resolution: annual – all months; autumn – September, October, November; winter – December, January, February; spring – March, April, Mat; summer – June, July, August. Data are extracted by the Wind and Wave Atlas of the Mediterranean Sea. The atlas is the result of the Medatlas project led between 1999 and 2004 by a consortia of six partners (NTU - Greece, CS SI – France, ISMAR-CNR – Italy, Thetis – Italy, Semantic TS – France, Meteo France – France) and that was funded by the former Western European Union – WEAO Research Cell. The main objective of the atlas was to provide reliable long term wind and wave statistics at specified points of the Mediterranean Sea (at about 50 km intervals) and to provide derived maps of main parameters distribution. Wind and wave statistics and maps were produced by model data provided by the European Centre for Medium-Range Weather Forecast (ECMWF, Reading, UK); model data were retrieved for the period June 1992 – June 2002. Wind speed, wave height and wave period model data were calibrated through satellite data (in particular those acquired by: Topex altimeter, ERS1-2 altimeter, ERS1-2 scatterometer) features spatial_distribution_of__hchay EPSG:4326 CRS:84 12.7813337189608 19.0598691478364 40.8413652969676 44.8601049731899 other other text/xml other other other other geonode:speleological_objects_cadastre A collection of spatial data related to speleological objects of the Republic of Croatia, collected and processed by speleological associations and speleological institutions operating in the territory of the Republic of Croatia, implemented by the Croatian Agency for Environment and Nature. This dataset is published in the download service (WFS) available at http://services.bioportal.hr/wfs?request=GetCapabilities with layer name dzzpnpis:katastar_speleoloskih_objekata. features EPSG:3765 CRS:84 13.503363044536856 18.57403853386902 42.485591418484134 46.329590284530234 other other text/xml other other other other geonode:ssf_evf Small scale fisheries (interviews) total operations 2017. Includes "tremagli", "nasse" and "cestini per lumachine". From CNR IRBIM ANCONA SUPREME Project North Adriatic Case study ( http://www.msp-supreme.eu/files/c-1-3-8-north-adriatic.pdf ) artisanal fisheries small scale fisheries EPSG:4326 CRS:84 12.241058906877 13.7666877648516 43.9333862778352 45.7834083712176 other other text/xml other other other other geonode:storage_and_treatment_te_ehcqq Sites of natural gas and crude oil collection and treatment plants located in the Italian national territory and temporary storage floating units in the Italian offshore. storage_and_treatment_te_ehcqq features EPSG:4326 CRS:84 8.78211566700008 17.1546126670001 36.5605077780001 45.974833778 other other text/xml other other other other geonode:submarine_beach_slope2014 features submarine_beach_slope2014 EPSG:5659 CRS:84 12.201025524790522 12.801583887772209 43.967981885056076 44.819416078216854 geonode:submarine_hydrocarbons_p_gyxkk Submarine pipelines for the transportation of hydrocarbons in the Emilia-Romagna, Marche and Veneto (LNG) marine area features EPSG:4326 CRS:84 12.2813752068237 14.359520114022 43.5925310175632 45.0874296547958 other other text/xml other other other other geonode:submarine_pipelines Safety zone for submarine pipelines for the transportation of hydrocarbons in the Emilia-Romagna, Marche and Veneto marine area. features EPSG:4326 CRS:84 12.4064579460001 14.943526753876 42.2195591518672 45.0864673970017 other other text/xml other other other other geonode:suitability_aquaculture0 The module for mapping Allocated Zones to Aquaculture implemented for the Ionian Greek waters from the project partner CORILA (Deliverable 1.8.1). The AZA module implemented a spatially explicit Multi-Criteria methodology in order to define marine areas where the development of aquaculture is prior to other uses. For the analysis, we used as criteria finfish optimal growth, wave height, distance to harbor , fishing effort for small scale and medium scale fishing. The module has been developed and tested for the most important farmed species of the study area: European seabass (Dicentrarchus labrax) and Gilthead seabream (Sparus aurata). Also, constraints such as ports, Natura2000, Posidonia oceanica meadows and cables were collected for the area in order to identify unavailable areas and superimposed to the suitability maps for aquaculture. GeoTIFF WCS suitability_aquaculture EPSG:4326 CRS:84 19.358336258 23.225002925 36.716667684049575 40.008334351 other other text/xml other other other other geonode:suitability_constraints Aquaculture Suitability Index for shellfish farm in Emilia Romagna estimated applying the SMCE Methodology with the constraints superimposed. GeoTIFF WCS suitability_constraints EPSG:4326 CRS:84 12.275000961 12.925000963 43.975001001 44.79166767 other other text/xml other other other other geonode:tbb_evf Beam trawl (TBB) "Rapidi" (swept area - km2) from AIS 2015. From CNR IRBIM ANCONA SUPREME Project North Adriatic Case study ( http://www.msp-supreme.eu/files/c-1-3-8-north-adriatic.pdf ) fisheries no_trawling_areas EPSG:4326 CRS:84 12.2429170000001 13.804444 43.9695000000001 45.7945560000001 other other text/xml other other other other geonode:telecommunication_cables_rahwl Abstract from http://www.emodnet-humanactivities.eu/search-results.php?dataname=Telecommunication+Cables+%28schematic+routes%29 The dataset on submarine telecom cables was created by Cogea in 2014 for the European Marine Observation and Data Network. The underlying data is property of Telegeography and is available online at https://github.com/telegeography/www.submarinecablemap.com. Compared with the previous version, this version of includes the gigabit per second values that come from the Cable System Database of the Packet Clearing House organization and are available online at https://prefix.pch.net/applications/cablesystem/. The database contains lines and points representing cables and related landing points. Cables are represented as stylised paths, as actual cable routes locations are not available in most cases.The dataset includes any cable that crosses the EU waters (Marine regions). Marine regions and subregions boudaries are defined in Article 4 of the Marine Strategy Framework Directive (MSFD) and available online at https://www.eea.europa.eu/data-and-maps/data/msfd-regions-and-subregions._ Title EMODnet Human Activities: Telecom cables (schematic routes) Publication date  2014-08-24 Revision date  2016-07-07 Creation date  2014-07-31 features EPSG:4326 CRS:84 -80.160172 139.620874 -36.5026 78.22195 other other text/xml other other other other geonode:temporary_military_areas_wlmsd Derived from Military training areas (land to sea and sea to land) according to the 2013 Notice to Mariners (PREMESSA AGLI AVVISI AI NAVIGANTI 2013 Istituto Idrografico della Marina) features EPSG:4326 CRS:84 12.317475 18.733333 40.35 45.202707 other other text/xml other other other other geonode:terrestrial__habitats_polygons Croatian terrestrial habitats as a part of Croatian habitat map features terrestrial__habitats_polygons EPSG:3765 CRS:84 13.433630143556067 19.518673154218565 42.35491132659178 46.55520278541086 other other text/xml other other other other geonode:terrestrial__habitatspoints Croatian terrestrial habitats as a part of the Croatian habitat map terrestrial__habitatspoints features EPSG:3765 CRS:84 13.508520182755905 19.45965083966909 42.54397801732 46.52329241974933 other other text/xml other other other other geonode:terrestrial_administrati_bqagv This dataset represents the regions for levels 1, 2 and 3 of the Nomenclature of Territorial Units for Statistics (NUTS) for 2016. The NUTS nomenclature is a hierarchical classification of statistical regions and subdivides the EU economic territory into regions of four different levels (NUTS , 1, 2 and 3, moving respectively from larger to smaller territorial units). NUTS 1 is the most aggregated level. An additional Country level (NUTS 0) is also available for countries where the the nation at statistical level does not coincide with the administrative boundaries. For example Mt Athos in Greece and Mellum and Minsener Ogg in Germany. The NUTS classification has been officially established through Regulation (EC) No 2016/2066 of the European Parliament and of the Council and its amendments. A non-official NUTS like classification has been defined for the EFTA countries and candidate countries. An introduction to the NUTS classification is available here: http://ec.europa.eu/eurostat/ web/nuts/overview. This dataset has been created mainly from the EuroBoundary Map v 12 (Eurogeographics) and geographic information from TurkStat for Turkey. The public dataset is available under the Download link indicated below. The full dataset is available via the EC restricted download link under GISCO.NUTS_2016. Here six scale ranges (100K, 1M, 3M, 10M and 20M, 60M) are available. Coverage is the economic territory of the EU, EFTA countries and candidate countries as in 2013.regional for the European Union. NUTS 5 corresponds to the lowest level. features EPSG:4326 CRS:84 -63.15119 55.83578 -21.38885 71.18416 other other text/xml other other other other geonode:terrestrial_boundaries_m_vrxir Data contains cadastral boundaries of the coastal municipalities of Montenegro. Montenegro terrestrial area features terrestrial_boundaries_m_vrxir EPSG:32634 CRS:84 18.431626131036804 19.396411201089855 41.82678239224144 42.64677249824617 other other text/xml other other other other geonode:terrestrial_habitats_points Map provided a points of non-forest habitats in Croatia described by the National Habitat Classification (2016.) features terrestrial_habitats_points EPSG:3765 CRS:84 13.554084903932875 19.002278547536154 42.391742700564514 46.50278554316405 other other text/xml other other other other geonode:terrestrial_habitats_t_2_nybrs Within the WP T2 (Geoportal testing and demonstration: towards the plans), PP6-Institute for Physical Planning Region of Istria is responsible for implementation activity testing 2.2. „Threats to coastal & marine biodiversity – Step by step towards ecosystem based approach in marine NATURA 2000 site HR 3000003 Vrsars islands.“. The mentioned area administratively belongs the municipality of Vrsar-Orsera and the municipality of Funtana-Fontane, western coast of Istria County. The main aims are increasing knowledge on threats to coastal & marine biodiversity for future action within MSP, ICZM and MSFD implementation, as well as gather existing scientific data or collect the new ones. The terrestrial mapping was done on islands and cliffs inside of NATURA 2000 site Vrsars islands, during the April and May 2019., according to Croatian Habitat Classification (OG 88/14) and Habitat Directive (92/43/EEC). features EPSG:4326 CRS:84 13.5677539769857 13.6054499902871 45.1414113173694 45.1981346566003 other other text/xml other other other other geonode:testLayer No abstract provided testLayer features EPSG:4326 CRS:84 8.49658466818269 12.3559166901038 39.9077488974079 45.4374626368472 other other text/xml other other other other geonode:testLayer0 No abstract provided testLayer features EPSG:4326 CRS:84 8.49658466818269 12.3559166901038 39.9077488974079 45.4374626368472 other other text/xml other other other other geonode:tivat In 2008 Solila was protected as Special Nature Reserve, in order to preserve rare, threatened and endangered plant and animal species, predominantly birds and plant communities. The area of Solila is approx 140ha, in 2013 this reserve was enlisted on the List of wetlands of international significance of the Ramsar Convention. Since 2014, this Special Reserve is managed by the Public Enterprise for Coastal Zone Management of Montenegro. Data on Tivat Salina, as the second Ramsar site in Montenegro, are provided in the frame of Ramsar Information Sheet, RIS at the site. features tivat EPSG:32634 CRS:84 18.704778923742357 18.727106392694104 42.38767897744197 42.401577707682165 other other text/xml other other other other geonode:trachurus_mediterraneus__kipzg Data from Mediterranean Sensitive Habitats (MEDISEH) project. Bottom trawling survey data were used for the identification and the modeling of nursery grounds of Mediterranean horse mackerel (Trachurus mediterraneus). The application of habitat suitability modeling techniques with the use of environmental data were carried out in order to obtain potential nursery grounds of Mediterranean horse mackerel. (http://mareaproject.net/contracts/5/reporting/) trachurus_mediterraneus__kipzg features EPSG:4326 CRS:84 12.2186900003516 22.7340048029241 36.1335599996743 45.7335600003836 other other text/xml other other other other geonode:trachurus_trachurus_atla_wxaiu Data from Mediterranean Sensitive Habitats (MEDISEH) project. MEDITS survey data were used for the identification and the modeling of nursery grounds of Atlantic horse mackerel (Trachurus trachurus). The application of habitat suitability modeling techniques with the use of environmental data were carried out in order to obtain potential nursery grounds of Atlantic horse mackerel. (http://mareaproject.net/contracts/5/reporting/) trachurus_trachurus_atla_wxaiu features EPSG:4326 CRS:84 12.2829832128906 22.7342375228592 36.1251822081986 45.70406 other other text/xml other other other other geonode:traffic_density_lines_gener_2014_2015_ais_3857_nocolor Map of traffic density derived from AIS observations. The was created combining AIS monthly data from July 2014 to June 2015, provided by BALMAS project through the BALMAS GIS GeoTIFF WCS traffic_density_lines_gener_2014_2015_ais_3857_nocolor EPSG:3857 CRS:84 11.84454548113778 21.613646759027457 39.17438096319756 45.86313583314536 other other text/xml other other other other geonode:trawl_fleet No abstract provided trawl_fleet GeoTIFF WCS fe_ssf_new _1_Breakwaters EPSG:4326 CRS:84 20.2669892389832 21.5049808854221 37.9079004359109 38.9125002145786 other other text/xml other other other other geonode:tursiop_sighting_emilia__eugeo Sites where dolphins have been detected during the monitoring survey of 2018. Emilia-Romagna region, through the operative section Arpae-Daphne, has carried out three boat-survey in the period June-September 2018. The aim was to check the sighting points of Tursiops within the territorial waters. features EPSG:4326 CRS:84 12.3931274414062 12.9058837890625 44.4793090820312 44.761474609375 other other text/xml other other other other geonode:tursiops_truncatus_predi_fzhkf Density Surface predicted distribution of bottlenose dolphins (Tursiops truncatus) in the Adriatic Sea based on 2010 and 2013 aerial surveys data (darker red scale indicates higher relative density, expressed in animals/100km2: 16.1 - 38.8 dark red; 12.1 - 16 red; 8.1 - 12 light red; 4.1 - 8 rose; 0.1 - 4 white; 0 grey. Fortuna CM, Cañadas A, Holcer D, Brecciaroli B, Donovan GP, Lazar B, Mo G, Tunesi L and Mackelworth PC (2018) The Coherence of the European Union Marine Natura 2000 Network for Wide-Ranging Charismatic Species: A Mediterranean Case Study. Front. Mar. Sci. 5:356. doi: 10.3389/fmars.2018.0035 https://www.frontiersin.org/articles/10.3389/fmars.2018.00356/full features EPSG:3035 CRS:84 12.099948546735874 20.350057283431646 40.010191146971444 45.85787663809205 other other text/xml other other other other geonode:underground Croatian habitats underground according to national habitat classification underground features EPSG:3765 CRS:84 14.532025284004286 18.226664079504317 42.65228843304116 45.835172287563104 other other text/xml other other other other geonode:use_ACQSHEL_rpuJIGm No abstract provided GeoTIFF WCS use_ACQSHEL_rpuJIGm EPSG:3035 CRS:84 12.210684966155807 13.493932462376412 43.9460000486629 44.85168422555604 other other text/xml other other other other geonode:variation_of_the_seabed__oxlsi Variation of the seabed in accumulation from Regional Territorial Coordination Plan 1992 features EPSG:3003 CRS:84 12.342628019032635 12.568094510199249 44.786330046900105 45.08212681666735 other other text/xml other other other other geonode:veneto_rail_network Rail network from DBase priority layers 1:10.000 features EPSG:3003 CRS:84 10.632992300398742 13.044610738161666 44.84920380046272 46.484768240507286 other other text/xml other other other other geonode:venice_lagoon_boundary Perimeter of Venice lagoon features venice_lagoon_boundary EPSG:3003 CRS:84 12.123796756269671 12.63632356323926 45.17286837113525 45.58939102174987 other other text/xml other other other other geonode:vplivna_obmocja_kopalnih_voda Impact areas of individual bathing waters are areas where the ongoing action of human activities may affect the quality of bathing water and may pose a risk to bathing health. The dataset shows the impact areas of bathing waters under the Decree on bathing water quality management (Official Gazette RS, No. 25/08). The impact areas are determined on the basis of the criteria laid down in the Decree on the discharge and treatment of municipal wastewater (Official Gazette RS, No. 98/15 and amended) and the previous Decree on the emission of substances in the discharge of wastewater from municipal wastewater treatment plants (Official Gazette RS, no. 45/07 et seq.) And the Decree on the emission of substances in the discharge of waste water from small municipal wastewater treatment plants (Official Gazette of the RS, No. 98/07 et seq.). In accordance with the aforementioned regulations, specific impact requirements for the discharge and treatment of municipal wastewater are laid down for impacted bathing areas. The data is intended for the state and local communities as a basis for the implementation of measures in the field of bathing water management or other water management tasks, for the implementation of measures in the field of environmental protection related to the discharge and treatment of municipal wastewater or the issuance of environmental permits. The information is also intended for the public, as information on where the bathing water impact areas are located. vplivna_obmocja_kopalnih_voda features EPSG:4326 CRS:84 13.5520563101022 13.8516846687986 45.442472165264 45.6010447833298 other other text/xml other other other other geonode:vrsa_rakovi Spatial distribution of fishing activity - trap for big crabs vrsa_rakovi features EPSG:3765 CRS:84 12.972822171165381 18.65434674152947 41.58036538828322 45.62382532154567 other other text/xml other other other other geonode:vrsa_skampi Spatial distribution of fishing activity - trap-targeting Nephrops norvegicus vrsa_skampi features EPSG:3765 CRS:84 12.972822171101006 18.65434674153249 41.580365388280484 45.62382532147769 other other text/xml other other other other geonode:vulnerability_of_marine__pomay The vulnerability analysis of flora and fauna conducted in the CAMP. In the model of direct evaluation of the most significant elements of the environment, the evaluated categories flora and fauna (biodiversity) and protected natural suppliers have high values of 5. Values range from 0 to 5, 0 being the least vulnerable, and 5 the most vulnerable. Montenegro terrestrial area features vulnerability_of_marine__pomay EPSG:32634 CRS:84 18.50259835294523 19.347691003383936 41.843411172360504 42.52303965815147 other other text/xml other other other other geonode:waste_disposal_dumped_mu_qliyd The dataset on dumped munitions was created by CETMAR as a result of the aggregation of data provided by several sources or reports of OSPAR commission, MED POL, Spain Ministry of Defense and Maritime Administration of Latvia. Shapes with munition dumping sites define polygons and points features in Baltic sea, North Sea, Celtic Seas, Iberian Coast and Bay of Biscay and Mediterranean Sea. Information was picked form different official sources depending on the country. Each point or polygon has the following attributes (where available): type of munition (Conventional and/or Chemical) and distance to coast (meters). The distance to coast (EEA coastline shapefile) has been calculated using the UTM WGS84 Zone projected coordinate system where data fall in. The dataset will be updated according the availability of data and is available for viewing and download on EMODnet - Human Activities web portal (www.emodnet-humanactivities.eu). features waste_disposal_dumped_mu_qliyd EPSG:4326 CRS:84 -15.2170937469788 34.2775993239497 28.1003492145447 56.4049926481922 other other text/xml other other other other geonode:water_depth Bathymetry in meters around Kephalonia island - raster - WGS84 Bathymetric map comes from EMODNET http://www.emodnet-bathymetry.eu/ GeoTIFF WCS water_depth EPSG:4326 CRS:84 20.2669892389832 21.5049808854221 37.9079004359109 38.9125002145786 other other text/xml other other other other geonode:water_depth_mediterranean_sea Bathymetry in meters - raster - WSG85 The map comes from: http://www.emodnet-bathymetry.eu/ GeoTIFF EPSG:4326 CRS:84 -16.25208333 41.777916669999996 25.002075194999996 55.002075195 other other text/xml other other other other geonode:water_flows Water flows in Croatia as a part of the national habitat map water_flows features EPSG:3765 CRS:84 13.465929501681051 19.511396446131716 42.47399505548187 46.530745802190985 other other text/xml other other other other geonode:water_quality Public enterprise for coastal zone management in Montenegro, as an authority in charge of bathing water management in Montenegrin coast, realizes specific monitoring programs of bathing water quality on 110 public beaches during the summer season. Program is in accordance with the new Rule book on the manner and deadlines for the implementation of measures to ensure the preservation, protection and improvement of bathing water quality (Official Gazette of Montenegro, No. 028/19 from 23.05.2019). According to the Article 8 of the Rule book, bathing waters are categorised as "excellent", "good", "sufficient" and "bad". Standards for evaluation of coastal waters quality after taking each sample are as follows: Parameter Measuring units: Intestinal enterococci/100 ml: Excellent <60, Good 61-100, Sufficient 101-200; Escherichia coli/100 ml: Excellent <100, Good 101-200, Sufficient 201-300; Data were taken from the official Public enterprise for coastal zone management database (update 2020). features water_quality EPSG:32634 CRS:84 18.50285947782345 19.34269230304389 41.84696697157011 42.527418239045 other other text/xml other other other other geonode:water_quality0 No abstract provided features water_quality EPSG:32634 CRS:84 18.50285947782345 19.34269230304389 41.84696697157011 42.527418239045 other other text/xml other other other other geonode:water_quality1 No abstract provided features water_quality EPSG:32634 CRS:84 18.50285947782345 19.34269230304389 41.84696697157011 42.527418239045 other other text/xml other other other other geonode:wind_farms_emodnet The database on offshore wind farms in the EU was created in 2014 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources from all across the EU. It is updated every year and is available for viewing and download on EMODnet - Human Activities web portal (www.emodnet-humanactivities.eu). The database contains points and/or (where available) polygons representing offshore wind farms in the following countries: Belgium, Denmark, Estonia, Finland, France, Germany, Greece, Ireland, Italy, Latvia, Lithuania, Netherlands, Norway, Poland, Portugal, Spain, Sweden and United Kingdom. Each feature has the following attributes (where available): Name, Nº of turbines, Status (Authorised, Operational, Planned, Under Construction), Country, Year, Power (MW), Distance to coast (metres) and Perimeter (kilometres), Surface (square kilometres) only for polygons. The distance to coast (EEA coastline shapefile) has been calculated using the UTM WGS84 Zone projected coordinate system where data fall in. Since the previous version 47 new data was recorded and 55 has been updated for status changes in the points dataset. features EPSG:32628 CRS:84 -50.213114907205885 29.633386617085602 22.912780760101263 115.99461006577008 other other text/xml other other other other geonode:windfarm2 case study Ritmare-RER: the Measure 4 identify three areas of interest for wind farm development, the WF1 is located in the offshore Ravenna windfarm2 features EPSG:32633 CRS:84 12.437975722608353 12.504642058460826 44.41169202323037 44.46883534420985 other other text/xml other other other other geonode:world_heritage_sites_2017 Mediterranean World Heritage Sites from MAPAMED, the database on Sites of interest for the conservation of marine environment in the Mediterranean Sea. MedPAN, UNEP/MAP/RAC-SPA. November 2017 release. https://www.medpan.org/SIG/MAPAMEDvisualisation.html features EPSG:4326 CRS:84 1.31726976363499 18.8097859358045 38.7094361272606 42.5392121190984 other other text/xml other other other other geonode:wrecks Most relevant wrecks. The vectors data have been edited by Istituto Idrografico della Marina - Italy (Electronic Navigational Charts). Shape Projact Adriatic Atlas administrators have been authorized by IIM to processed ENC data in order to identify the most relevant wreks in the italian continental shelf. features EPSG:4326 CRS:84 12.3028335 18.5663698 39.7624259 45.7295 other other text/xml other other other other geonode:zone_parchi_riserve_rer202109 No abstract provided zone_parchi_riserve_rer202109 features EPSG:5659 CRS:84 9.547606500562152 12.636321883290613 43.68200721255953 45.085995278285026 other other text/xml other other other other geonode:ztb_current_location_and_opurt Data represents the localisation of three protected areas near the municipality of Neum. The first protected area is Hutovo Blato, a nature and bird reserve located in Bosnia and Herzegovina. The second one is also Hutovo blato, with a different category of vulnerability. The third represents Popovo polje, a protected landscape. Popovo polje is a karstic field in Bosnia and Herzegovina, located in a southernmost region of the country, near the Adriatic coast. BiH terrestrial area ztb_current_location_and_opurt features EPSG:404000 CRS:84 6473091.42370388 6500405.44074666 4744678.38203631 4773922.31840034 other other text/xml other other other other geonode:ztb_new_1 case study Ritmare-RER: the Measure 9 identify a suitable area for hosting a Biological protection zone (ZTB) offshore Rimini coastline features ztb_new_1 EPSG:4326 CRS:84 12.6307422596918 12.8039227212714 43.9820765378397 44.1522205979743 other other text/xml other other other other