My GeoServer WFSThis is a description of your Web Feature Server. The GeoServer is a full transactional Web Feature Server, you may wish to limit GeoServer to a Basic service level to prevent modificaiton of your geographic data.WFSWMSGEOSERVERWFS2.0.0NONENONE1.0.01.1.02.0.0text/xmlServiceIdentificationServiceProviderOperationsMetadataFeatureTypeListFilter_Capabilitiesapplication/gml+xml; version=3.2resultshitsapplication/gml+xml; version=3.2GML2KMLSHAPE-ZIPapplication/jsonapplication/vnd.google-earth.kml xmlapplication/vnd.google-earth.kml+xmlcsvexcelexcel2007gml3gml32jsontext/xml; subtype=gml/2.1.2text/xml; subtype=gml/3.1.1text/xml; subtype=gml/3.2nonelocalFALSE1000000nonelocalapplication/gml+xml; version=3.2urn:ogc:def:queryLanguage:OGC-WFS::WFSQueryExpressionALLSOMEresultshitsapplication/gml+xml; version=3.2GML2KMLSHAPE-ZIPapplication/jsonapplication/vnd.google-earth.kml xmlapplication/vnd.google-earth.kml+xmlcsvexcelexcel2007gml3gml32jsontext/xml; subtype=gml/2.1.2text/xml; subtype=gml/3.1.1text/xml; subtype=gml/3.2nonelocalapplication/gml+xml; version=3.2ALLSOMETRUETRUETRUETRUETRUETRUEFALSEFALSETRUETRUETRUETRUEFALSETRUEFALSEwfs:Querywfs:StoredQuerygeonode:A2_6111_Zostera_noltii_beds_in_littoral_muddyEUNIS 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_sandfeaturesurn:ogc:def:crs:EPSG::376513.603150835895985 45.15473378848755513.607728811312931 45.163051963002516geonode:A3_124_Infralittoral_cobbles_pebbles_and_hardEUNIS 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_rockfeaturesurn:ogc:def:crs:EPSG::376513.579428305721752 45.1488265145611313.606200334982704 45.19441553646206geonode: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_actionfeaturesurn:ogc:def:crs:EPSG::376513.567093190037449 45.1395462916520613.606639634958228 45.20018345442757geonode:A5_2_Sublittoral_sandEUNIS 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_sandfeaturesurn:ogc:def:crs:EPSG::376513.562375142355574 45.13945193306451413.607881150624474 45.20092614570405geonode:A5_53131_Ass__with_Cymodocea_nodosa_on_well_sEUNIS 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_sandsfeaturesurn:ogc:def:crs:EPSG::376513.595438363724574 45.17092107107962613.598894062490668 45.172532378746325geonode:air_3_nautical_miles_fro_foslpVector (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#/featuresurn:ogc:def:crs:EPSG::303511.85246562106437 35.904827217001524.762722686759968 45.842132056328914geonode:ASE_2019_Emilia_Romagna_IT_0The 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_featuresurn:ogc:def:crs:EPSG::3263212.201320250594195 43.9678428883287812.806169475756635 44.84528325124957geonode:ASE_2019_Emilia_Romagna_IT_No abstract providedASE_2019_Emilia_Romagna_IT_featuresurn:ogc:def:crs:EPSG::4326756734.394519501 4875143.43297484800881.869759693 4970899.05182033geonode: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_featuresurn:ogc:def:crs:EPSG::3263212.201320250594195 43.9678428883287812.806169475756635 44.84528325124957geonode:actual_anchorage_of_larg_mubqvAn 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_mubqvfeaturesurn:ogc:def:crs:EPSG::379413.6463787709349 45.5417988184637713.746280947623552 45.587768242974825geonode:adriatic_continental_platformVector 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.featuresurn:ogc:def:crs:EPSG::425813.0027777773532 40.132000053073318.9771657779219 45.63geonode:montenegro_watershedsThe data set shows the spatial distribution of the drainage basins in the Montenegrin Adriatic Sea.montenegro_watershedsfeaturesurn:ogc:def:crs:EPSG::432618.4385703720001 41.847915000000119.6198106890001 43.036867219geonode:coastal_vulnerability_to_cwzjb0No abstract providedcoastal_vulnerability_to_cwzjbfeaturesurn:ogc:def:crs:EPSG::432612.1519715793251 39.789622853012419.6097866937011 45.785125496045geonode:http_www_geoportal_mrt_g_acdawData on air pollution in coastal urban areas.All values are shown in µg / m3.Montenegro terrestrial areafeatureshttp_www_geoportal_mrt_g_acdawurn:ogc:def:crs:EPSG::3263418.513262798046025 41.91605799978168519.218638888886304 42.47119637625855geonode:albania_territorial_watersTerritorial 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 countryfeaturesurn:ogc:def:crs:EPSG::432619.0123607327423 39.646423593884920.0193721246658 41.8461030168598geonode:http_www_geoportal_mrt_g_ygylrThe 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_ygylrMontenegro terrestrial areafeaturesurn:ogc:def:crs:EPSG::3263418.495837286009763 41.8315735837501119.39041337423902 42.528734815166324geonode:anchorage_areasAnchorage 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.featuresurn:ogc:def:crs:EPSG::432612.3501339778926 40.170677499999918.519255 45.6834962geonode:sidrista_mThe spatial data show anchorage areas in Boka Kotorska Bay (Montenegro).sidrista_mfeaturesurn:ogc:def:crs:EPSG::3263418.510761048594482 42.3519108154609418.768649283611474 42.515063591681674geonode:anchorage_areaAnchorage 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 purposesazaanchorage_areafeaturesurn:ogc:def:crs:EPSG::432612.3999491718703 44.505040762175412.4299797457324 44.5179475613974geonode:acquaculturaData related to aquaculture areas in Istria county according to Spatial Plan of the Istria county (2016.).featuresurn:ogc:def:crs:EPSG::376513.497910927891226 44.9796607849089714.079305995839732 45.42163805119313geonode:aquaculture_areasData related to aquaculture areas in Istria county according to Spatial Plan of the Istria county (2016.)aquaculture_areasfeaturesurn:ogc:def:crs:EPSG::3127513.499821140046764 44.9875971210893714.0803947527088 45.41509653746728geonode:aquaculture_farms_mussel_wacjpThis file contains vector data on aquaculture farms (mussels, other mollusks, finfish, seaweed) in the Bay of Boka Kotorska.aquaculture_farms_mussel_wacjpMontenegrin Adriatic Seafeaturesurn:ogc:def:crs:EPSG::3263418.650907768366523 42.39315463621479618.768481800781018 42.5093551670432geonode:constraintsNo abstract providedfeaturesconstraintsurn:ogc:def:crs:EPSG::432620.4349342701406 37.933643678274621.4187171169046 38.8749937715946geonode:constraints2No abstract providedconstraints2featuresurn:ogc:def:crs:EPSG::432620.366686644 37.92450861521.4933451950001 38.8906994810001geonode:Archeological_areas_pointsData related to underwater archeological sites in Istria county according to Spatial Plan of the Istria County (2016.)featuresArcheological_areas_pointsurn:ogc:def:crs:EPSG::376513.410032187969916 44.7153305823908414.241687142619716 45.52032782639388geonode:Archeological_areas_polygonsData related to underwater archeological sites in Istria county according to Spatial Plan of the Istria county (2016.)Archeological_areas_polygonsfeaturesurn:ogc:def:crs:EPSG::376513.463886923079858 44.71635855282280414.223062296971506 45.530148039197165geonode:architectural_heritage_ptTerrestrial and marine architectural heritage point locations in Croatia.featuresurn:ogc:def:crs:EPSG::432614.1408279030346 44.45066955038715.2094785361267 45.6399357186999geonode:aquaculture_farms_in_the_olochThis 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_olochfeaturesurn:ogc:def:crs:EPSG::303519.378517814710168 38.1179464104827221.39108360542709 39.9054694841473geonode:areas_to_be_avoided_for__slhjnPosition of regulatory floodway along Emilia-Romagna coastline, area forbidden for mussels and fishing farms.featuresurn:ogc:def:crs:EPSG::2583312.171587157537283 43.9518443815908112.744775391884678 44.70807115369171geonode:aristaeomorpha_foliacea__iepcaThe 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__iepcafeaturesurn:ogc:def:crs:EPSG::432614.14174652099 36.32923057866519.1337203979492 42.1733589172363geonode:aristaeomorpha_foliacea__rcozzThe 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__rcozzfeaturesurn:ogc:def:crs:EPSG::432614.1555596449964 36.54523849487319.110466003418 42.1913948059082geonode:aristeus_antennatus_blue_mmpfqThe 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_mmpfqfeaturesurn:ogc:def:crs:EPSG::432614.2082576751709 36.575389862060519.0988368988037 40.8299179077148geonode:artificial_reefsArtificial 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".featuresurn:ogc:def:crs:EPSG::425812.3445390000123 43.992101999880212.7463970000155 44.7373739998751geonode:bahing_waters_monitoring_couddThe 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.featuresbahing_waters_monitoring_couddurn:ogc:def:crs:EPSG::42587.42679071426392 34.821861267089829.7092113494873 45.838939666748geonode:vplivna_obmocja_kopalnih_vodaImpact 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_vodafeaturesurn:ogc:def:crs:EPSG::432613.5520563101022 45.44247216526413.8516846687986 45.6010447833298geonode:bathing_waters_areaBathing 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_areafeaturesurn:ogc:def:crs:EPSG::391213.564618716262691 45.5027877529641813.734716306882564 45.59524517732827geonode:bathing_water_polygonData 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).featuresurn:ogc:def:crs:EPSG::432612.23914 39.78751218.522606 45.785124geonode:http_www_geoportal_mrt_g_yjdmrBathymetry 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_yjdmrMontenegrin Adriatic Seafeaturesurn:ogc:def:crs:EPSG::3263417.98966147383772 41.4959860338635219.379021598638456 42.529689479536245geonode:MINUS_10Bathymetry (-10m)- Istria countyMINUS_10featuresurn:ogc:def:crs:EPSG::376513.486859683681525 44.7461983989677114.262211907860785 45.51684314459782geonode:MINUS_50Bathymetry (-50m)-Istria CountyMINUS_50featuresurn:ogc:def:crs:EPSG::376513.598178567893633 44.7379078822327814.262593071027347 45.205563750880415geonode:MINUS_20Bathymetry (-20m) - Istria countyfeaturesMINUS_20urn:ogc:def:crs:EPSG::376513.495420601792997 44.7448079013153814.261472688076505 45.45573288816938geonode:Beach_nourishment_RER1984_2018_bisClassification 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-RERBeach_nourishment_RER1984_2018_bisfeaturesurn:ogc:def:crs:EPSG::565912.201179137381558 43.96782487750310512.80648551825928 44.84532254089611geonode:Beach_ErosionThe 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_Erosionfeaturesurn:ogc:def:crs:EPSG::2583312.255942050391106 43.9653278680519612.725812638773055 44.81202564439618geonode:Fishing_net_migavicaSpatial distribution of fishing activities-fishing net - targeting Spicara smarisFishing_net_migavicafeaturesurn:ogc:def:crs:EPSG::376512.972822171165381 41.5803653882832218.65434674152947 45.62382532154567geonode:Fishing_net_plivarica_oliznicaSpatial distribution of fishing activities-fishing net-targeting Atherina sp.Fishing_net_plivarica_oliznicafeaturesurn:ogc:def:crs:EPSG::376512.972822171165381 41.5803653882832218.65434674152947 45.62382532154567geonode:Fishing_net_stajacica_giraricaSpatial distribution of fishing activity - fishing net - Spicara smarisFishing_net_stajacica_giraricafeaturesurn:ogc:def:crs:EPSG::376512.972822171165381 41.5803653882832218.65434674152947 45.62382532154567geonode:Beach_average_height_2012_14Classification 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-RERBeach_average_height_2012_14featuresurn:ogc:def:crs:EPSG::565912.201025524790541 43.96798188503455412.801583888411015 44.81941607779824geonode: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_featuresurn:ogc:def:crs:EPSG::3263212.200995923057295 43.9677990005240612.803950090778772 44.81961026717136geonode: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_featuresurn:ogc:def:crs:EPSG::3263212.200995923057295 43.9677990005240612.803950090778772 44.81961026717136geonode: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_featuresurn:ogc:def:crs:EPSG::3263212.201320250594195 43.96783572883127512.806390472507285 44.84528325124957geonode:Beach_width2014_RER1The 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 classesBeach_width2014_RER1featuresurn:ogc:def:crs:EPSG::2583212.2010255008657 43.9679651046487212.801575276369446 44.81939232782562geonode:Beach_width_RER_2019The 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 absentBeach_width_RER_2019featuresurn:ogc:def:crs:EPSG::3263212.200995923057269 43.9677990005240712.803950090778741 44.81961026717128geonode:tbb_evfBeam 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 )fisheriesno_trawling_areasurn:ogc:def:crs:EPSG::432612.2429170000001 43.969500000000113.804444 45.7945560000001geonode:biogeographical_regionsThe 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)featuresurn:ogc:def:crs:EPSG::3035-111.26896512135725 18.629155608404037151.15854384714774 90.0geonode:bioindikatori_hotspotThe 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_hotspotfeaturesurn:ogc:def:crs:EPSG::3263418.532008522419293 41.8390250888988319.319319444442545 42.51439479937947geonode:biological_protection_zoneMarine 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)featuresurn:ogc:def:crs:EPSG::425812.3359153670556 41.277119090011817.0940046932336 45.7530130033681geonode:drb_evf_1Boat 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 )fisheriesurn:ogc:def:crs:EPSG::432612.2429170000001 43.969500000000313.804444 45.7945560000001geonode:http_www_geoportal_mrt_g_nekjvThe 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 areafeatureshttp_www_geoportal_mrt_g_nekjvurn:ogc:def:crs:EPSG::3263419.21345077949344 41.8293664433347619.391392628787685 42.037455245350834geonode:boreholesThe 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.boreholesfeaturesurn:ogc:def:crs:EPSG::4326-13.4025083 33.183979167000134.9286670000001 80.6825000000001geonode:a__1_BreakwatersEcological objective EO8-Common Indicator 16-Lenght of coastline subject to physical disturbance due to the influence of manmade structuresfeatures_1_Breakwatersurn:ogc:def:crs:EPSG::376513.507832192080656 44.7997702170187814.106039285399714 45.507785397381646geonode:Vrsar_Funtana_GPData related to building areas in municipality Vrsar-Orsera and municipality Funtana-Fontane according to Spatial plans of municipalities.Vrsar_Funtana_GPfeaturesurn:ogc:def:crs:EPSG::376513.579907818842498 45.1277277816391413.734795769299966 45.20257020405391geonode:CORINE_2012In 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_2012featuresurn:ogc:def:crs:EPSG::376513.147462634683505 42.1346413807708319.51781474881638 46.55497768168859geonode:inland_watersCroatian habitats (according to national habitat classification) in mesotrophic inland waters, oligotrophic-mesotrophic waters rich with limestone, euryhaline, and eurythermal biocenosisinland_watersfeaturesurn:ogc:def:crs:EPSG::376514.309507640641211 42.9163614000314219.577175387549822 46.53672690541338geonode:sea_benthos_polygonsMarine habitats according to Croatian national classificationfeaturessea_benthos_polygonsurn:ogc:def:crs:EPSG::376513.20412145797051 42.1254786261482718.658350441640398 45.624052661957315geonode:sea_benthos_pointsCroatian marine habitats according to national habitat classificationsea_benthos_pointsfeaturesurn:ogc:def:crs:EPSG::376513.604675893853342 42.43318084204689518.520164744903514 45.1721817456223geonode:undergroundCroatian habitats underground according to national habitat classificationundergroundfeaturesurn:ogc:def:crs:EPSG::376514.532025284004286 42.6522884330411618.226664079504317 45.835172287563104geonode:water_flowsWater flows in Croatia as a part of the national habitat mapwater_flowsfeaturesurn:ogc:def:crs:EPSG::376513.465929501681051 42.4739950554818719.511396446131716 46.530745802190985geonode:coastCroatian coastal habitats as a part of the Croatian habitat mapair_italian_coastlinefeaturesurn:ogc:def:crs:EPSG::376513.489007526020153 42.37438760017792618.64382418633858 45.54267226927628geonode:rocksCroatian rocks habitats as a part of Croatian habitat mapfeaturesG.3.4._Infralittoral_rocks_and_gravelsurn:ogc:def:crs:EPSG::376513.599130872482775 42.3958556597983518.630919244510746 45.68573422088782geonode:terrestrial__habitats_polygonsCroatian terrestrial habitats as a part of Croatian habitat mapfeaturesterrestrial__habitats_polygonsurn:ogc:def:crs:EPSG::376513.433630143556067 42.3549113265917819.518673154218565 46.55520278541086geonode:terrestrial__habitatspointsCroatian terrestrial habitats as a part of the Croatian habitat mapterrestrial__habitatspointsfeaturesurn:ogc:def:crs:EPSG::376513.508520182755905 42.5439780173219.45965083966909 46.52329241974933geonode:WF_OffS_RiminiArea of interest for offshore wind farms installationWF_OffS_Riminifeaturesurn:ogc:def:crs:EPSG::3263312.717142142232808 44.0735536357606212.890878937699686 44.19637955401651geonode:C_3_5_1_5__Sub_mediterranean_and_EpimediterraT2.2.HR3000003 Vrsarski otoci-Terrestrial habitat C.3.5.1.5.-Sub-mediterranean and Epimediterranean dry grasslands-Ass. Narcisso tazettae-Asphodeletum microcarpifeaturesurn:ogc:def:crs:EPSG::376513.568379860845372 45.1629635665455613.597620101445672 45.19861573423433geonode:C_3_6_1_3__Eumediterranean_and_submediterraneT2.2.-HR3000003 Vrsarski otoci-Terrestrial habitat C.3.6.1.3.-Eumediterranean and submediterranean rocky ground pastures and dry grasslands-Ass.Oryzopsetum milliaceaefeaturesurn:ogc:def:crs:EPSG::376513.59453716707916 45.1487605199041313.594902682688671 45.14917130503704geonode:cablesCables around Kephalonia island -Shapefile - WGS84 HCMRcablesfeaturesurn:ogc:def:crs:EPSG::432620.542880543 37.915356110000121.407416273 38.708171516geonode:caretta_caretta_predicte_sghkcDensity 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/fullfeaturesurn:ogc:def:crs:EPSG::303512.099948546735874 40.01019114697144420.350057283431646 45.85787663809205geonode:coastal_vulnerability_to_cwzjbIt 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_cwzjbfeaturesurn:ogc:def:crs:EPSG::432612.1519715793251 39.789622853012419.6097866937011 45.785125496045geonode:coastal_defence_2018_emi_wdqdbMapping 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.featuresurn:ogc:def:crs:EPSG::565912.173561346011017 43.96447919503755512.810359229869427 44.85073849571037geonode:coastal_morphology_class_xotzeThis layer represent the morphology of the coast according to the classification proposed by Stevens et al., 2005.featuresurn:ogc:def:crs:EPSG::432612.1519715793251 39.789622853012419.6097866937011 45.785125496045geonode:terrestrial_boundaries_m_vrxirData contains cadastral boundaries of the coastal municipalities of Montenegro.Montenegro terrestrial areafeaturesterrestrial_boundaries_m_vrxirurn:ogc:def:crs:EPSG::3263418.431626131036804 41.8267823922414419.396411201089855 42.64677249824617geonode:Coastal_waterAccording 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_waterfeaturesurn:ogc:def:crs:EPSG::376513.464129081560433 42.3572064008269618.650892918569493 45.56025129966888geonode: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_featuresurn:ogc:def:crs:EPSG::3263212.200995923057269 43.9677990005240712.805642201565576 44.845320642663786geonode:Coastal_defence_works_19760No abstract providedCoastal_defence_works_1976featuresurn:ogc:def:crs:EPSG::432613.9130518646249 42.1085579129446448209.6456 4725543.4465geonode:Coastal_defence_works_1956Coastal defence works mapping of Abruzzo Region up to 1956Coastal_defence_works_1956featuresurn:ogc:def:crs:EPSG::432613.9130518646249 42.100835397350314.723031207311 42.8942732218044geonode:Coastal_defence_works_1997Coastal defence works mapping of Abruzzo Region up to 1997featuresCoastal_defence_works_1997urn:ogc:def:crs:EPSG::432613.9130518646249 42.070263467370514.7789112960513 42.8942732218044geonode:Coastal_defence_works_2018Coastal defence works mapping of Abruzzo Region up to 2018Coastal_defence_works_2018featuresurn:ogc:def:crs:EPSG::432613.9130518646249 42.068061767915714.7803894296528 42.8942732218044geonode:Coastal_defence_works_1976Coastal defence works mapping of Abruzzo Region up to 1976Coastal_defence_works_1976featuresurn:ogc:def:crs:EPSG::432613.9130518646249 42.100835397350314.723031207311 42.8942732218044geonode: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_featuresurn:ogc:def:crs:EPSG::3263212.200995923057269 43.9677990005240712.805642201565576 44.845320642663786geonode:coastline1Coastline 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.coastline1featuresBiH Adriatic SeaBiH terrestrial areaurn:ogc:def:crs:EPSG::3127617.545273576361474 42.8848363073706617.65061670865682 42.93935077948474geonode:obalna_linijaCoastline data represents the boundary of the sea and the length of the coast of Montenegro.featuresobalna_linijaurn:ogc:def:crs:EPSG::3263418.493344371825376 41.828358820838719.404180710185237 42.530139402053216geonode:Constraints_ERActual sea uses in the Emilia-Romagna coastal area - constraints to define Allocated Zones for AquacultureConstraints_ERfeaturesurn:ogc:def:crs:EPSG::432612.2482334440796 43.98309913.4652780000001 44.843423geonode:continental_platform_of__inlnpData provides information on continental shelf of Montenegro.continental_platform_of__inlnpMontenegrin Adriatic Seafeaturesurn:ogc:def:crs:EPSG::432618.031417 41.50032419.260978 42.216533geonode:Counties_CroatiaThe 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_Croatiafeaturesurn:ogc:def:crs:EPSG::376513.433451847203965 42.34219757036992619.51795520048746 46.55509807810333geonode:division_Croatia_seaInternal 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_seafeaturesurn:ogc:def:crs:EPSG::376512.972822171101006 41.58036538828048418.65434674153249 45.62382532147769geonode:cruiseports_italy2015GIS 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 ).featuresurn:ogc:def:crs:EPSG::42588.309082031 35.4943237317.977206 45.794311523geonode:cultural_heritageCultural heritage areas - Apulia region and Croatiafeaturesurn:ogc:def:crs:EPSG::432613.481277452399 39.791127767440618.5110217600594 45.5007505880309geonode:danger_zonesFiring danger area (training zone) according to the prefaction of the notice to Mariners (PREMESSA AGLI AVVISI AI NAVIGANTI 2013 istituto Idrografico della Marina Militare).featuresurn:ogc:def:crs:EPSG::425812.25 38.883333333333319.0000000000001 44.7geonode:database_of_the_differen_irfyjDatabase of the different lithologies that emerge in the Veneto Region territory, containing a generic description of the same. Scale 1:250.000featuresurn:ogc:def:crs:EPSG::300310.605866745939707 44.7712384155708413.178080472335788 46.72218091792177geonode:occurence_of_delphinus_a_ipyujREQUIRED: A brief narrative summary of the data set.occurence_of_delphinus_a_ipyujfeaturesurn:ogc:def:crs:EPSG::432620.5415899560001 38.418127921000121.1232341750001 38.806185536geonode:pridnena_kocaDemersal 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_kocafeaturesurn:ogc:def:crs:EPSG::376512.972829067096589 41.5803789884541418.654393665871428 45.623770034504496geonode:moreramponspatial distribution of fishing activity - dredgemoreramponfeaturesurn:ogc:def:crs:EPSG::376512.972822171165381 41.5803653882832218.65434674152947 45.62382532154567geonode:dredge_spoil_dumping_pointsShapes 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_pointsfeaturesurn:ogc:def:crs:EPSG::4326-28.6499999993149 35.307000009789230.2031019993149 70.9935599984957geonode:Fishing_net__kunjkara_Arca_noeSpatial distribution of fishing activity - dredge-Arca noeFishing_net__kunjkara_Arca_noefeaturesurn:ogc:def:crs:EPSG::376512.972822171165381 41.5803653882832218.65434674152947 45.62382532154567geonode:dredgingThe 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.dredgingfeaturesurn:ogc:def:crs:EPSG::4326-25.661396 28.07441833.020172 66.457517geonode:parangal_plutajuci_tunolovacSpatial distribution of fishing activity - drifting long-line (targeting Thunnus thynus)parangal_plutajuci_tunolovacfeaturesurn:ogc:def:crs:EPSG::376512.972822171101006 41.58036538828048418.65434674153249 45.62382532147769geonode:dumpammunitionpointsForbidden points to fishery and/or navigation because of dumped ammunition (see attributes) From "Premessa Avviso ai Naviganti 2018"featuresurn:ogc:def:crs:EPSG::432612.3477833333333 43.9706513.379 45.66683geonode:dumping_siteShape 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.featuresurn:ogc:def:crs:EPSG::42589.80929487289031 40.418616021452120.2090519404143 46.4007401265462geonode:adriatic_sea_dumping_areasThe 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.featuresurn:ogc:def:crs:EPSG::385712.399047754082982 40.599550299065918.60381120003414 45.67161788403824geonode:ebsa_ecologically_or_bio_jzfnzThe 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_jzfnzfeaturesurn:ogc:def:crs:EPSG::432612.2982128616775 39.092036191385419.4949642640474 45.7716777051376geonode:eea_coastline_polyline_a_ksajiThe 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.featuresurn:ogc:def:crs:EPSG::3035-77.69134834593771 13.41247863857483497.15737766824334 84.86107132787043geonode:emodnet_habitat_map_from_cyutsIndividual habitat maps from surveys provided by EMODNet Seabed Habitats. The map focus on Posidonia distribution. featuresemodnet_habitat_map_from_cyutsurn:ogc:def:crs:EPSG::385713.820585261000073 37.8989921200000417.213811945 41.14764575700003geonode:emodnet_habitat_map_from_ichmpIndividual 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).featuresemodnet_habitat_map_from_ichmpurn:ogc:def:crs:EPSG::432615.46788138 39.516017138000118.543982557 42.14225334geonode:emodnet_habitat_map_from_vgfejIndividual habitat maps from surveys provided by EMODNet Seabed Habitats. The map focus on Posidonia distribution. emodnet_habitat_map_from_vgfejfeaturesurn:ogc:def:crs:EPSG::385711.917309246000082 35.4773642960000415.660382498000057 38.81436704800004geonode:eu_regulation_1967_2006Article 13 of the EC Reg n° 1967/2006 regarding the minimum distances and depths for the use of fishing gearseu_regulation_1967_2006featuresurn:ogc:def:crs:EPSG::385712.240189215501987 39.7407886298146518.581675040423278 45.784951628836346geonode:euseamap2_broad_scale_pr_kvygpOutput 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.featuresurn:ogc:def:crs:EPSG::4326-5.61617045289238 30.266730239933836.2144677997693 45.7917054006211geonode:euseamap_2019_broad_scal_nhkpxAIR 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.featuresurn:ogc:def:crs:EPSG::432612.0979166667314 36.408847421739323.224999896031 45.7989584701695geonode:E_8_1_1_Ass_Fraxino_orni_Quercetum_ilicis_E_9T2.2.-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_halepensisfeaturesurn:ogc:def:crs:EPSG::376513.581263099422632 45.14156299109091513.584954565264583 45.142617299116516geonode:E_8_1_1__Ass__Fraxino_orni_Quercetum_ilicisT2.2.-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_ilicisfeaturesurn:ogc:def:crs:EPSG::376513.56807089873264 45.14640809298252613.60592723303122 45.1989625551382geonode:E_9_2_4__Plantations_of_Pinus_halepensisT2.2-HR3000003 Vrsarski otoci-Terrestrial habitat E.9.2.4.-Plantations of Pinus halepensisE.9.2.4._Plantations_of_Pinus_halepensisfeaturesurn:ogc:def:crs:EPSG::376513.593719648898164 45.148824656224613.59521791366814 45.15019210307569geonode:ecoImportantAreas_SloveniaThe 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_Sloveniafeaturesurn:ogc:def:crs:EPSG::432613.3844674559852 45.425085086585414.1011683581011 45.8875564630122geonode:eledone_cirrhosa_horned__postsThe 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__postsfeaturesurn:ogc:def:crs:EPSG::432614.0943145751953 37.469078063964819.4244194030762 43.645263671875geonode:eledone_cirrhosa_horned__nhorwThe 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__nhorwfeaturesurn:ogc:def:crs:EPSG::432614.3417158126831 36.693817138671919.3662796020508 43.6036109924316geonode:limite_rer_mareEmilia-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.)featureslimite_rer_mareurn:ogc:def:crs:EPSG::432612.4000000000041 43.968313.4683 44.7933000000001geonode:Emissions_from_industry_GKThis 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_GKfeaturesurn:ogc:def:crs:EPSG::391213.569294193453878 45.45095582894203513.844048963965626 45.589346835412236geonode:engraulis_encrasicolus_e_eptixData 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_eptixfeaturesurn:ogc:def:crs:EPSG::432612.2267416052246 36.093905696060322.7351063279488 45.7052579943848geonode:engraulis_encrasicolus_e_ndomfData 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_ndomffeaturesurn:ogc:def:crs:EPSG::432612.2532196630859 36.212057405097722.7175206764393 45.706117354126geonode:environmental_vulnerabil_lpzgyIt 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_lpzgyfeaturesurn:ogc:def:crs:EPSG::432612.1519715793251 39.789622853012419.6097866937011 45.785125496045geonode:habitatsThe 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 onlyhabitatsfeaturesurn:ogc:def:crs:EPSG::376513.203039175700644 42.13464138076954418.653203475458792 45.62761895127231geonode:obalna_voda_eutrifikacija_pntThe data set shows the spatial distribution of Eutrophication points in the Montenegrin Adriatic Sea.obalna_voda_eutrifikacija_pntfeaturesurn:ogc:def:crs:EPSG::3263418.527004972924445 41.8347242887553219.348178891879172 42.49913644931777geonode:fao_areasAO 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_areasfeaturesurn:ogc:def:crs:EPSG::4326-5.61 30.263941.7761 47.2805geonode:F_3_1_1_1__Areas_of_gravel_beaches_covered_wiT2.2.-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 Adriaticfeaturesurn:ogc:def:crs:EPSG::376513.603491217728264 45.157275665671313.604602895072865 45.15832933825625geonode: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_cancellatifeaturesurn:ogc:def:crs:EPSG::376513.567745251457438 45.1410685708406913.606218431291705 45.19903028363149geonode:F_4_2_1__Biocenosis_of_supralittoral_rockT2.2-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_rockfeaturesurn:ogc:def:crs:EPSG::376513.578206790672809 45.1571998907710113.599891879021229 45.17528818868967geonode:finfish_productionThe 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).featuresfinfish_productionurn:ogc:def:crs:EPSG::4326-17.9682056999999 27.78107389933.907869438 71.0177830000001geonode:posteThe 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.postefeaturesurn:ogc:def:crs:EPSG::3263418.502437546494274 42.40337172729659418.76775438782335 42.51845279376047geonode:gsa17_18Geographical 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)"featuresurn:ogc:def:crs:EPSG::432612.1451120000001 39.588910001350720.332225380671 45.797302geonode:fishing_sport_portsFishing and sport ports in Istria County.featuresfishing_sport_portsurn:ogc:def:crs:EPSG::376513.547570910805154 44.7818700872952514.210296575182712 45.374609454729516geonode:fishing_fleet_emilia_romagnaNumber of fishing boats, grouped by fishing gear, in the ports of Emilia-Romagnafeaturesurn:ogc:def:crs:EPSG::432612.241142 43.96867512.749662 44.84493geonode:Fishing_zonesThe fishing sea of Croatia is administratively divided into 11 fishing zones and 37 fishing subzones.featuresFishing_zonesurn:ogc:def:crs:EPSG::376512.972822171101006 41.58036538828048418.65434674153249 45.62382532147769geonode:flood_risk_managementExisting structures for flood defense. Data describes coastal embankment.flood_risk_managementBiH terrestrial areafeaturesurn:ogc:def:crs:EPSG::3127617.45298505949511 43.0298760551869417.75634680685432 43.26491640423985geonode:Flood_Zone_ratio_2019The 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 areafeaturesFlood_Zone_ratio_2019urn:ogc:def:crs:EPSG::3263212.200995923057269 43.9677990005240712.805642201565576 44.845320642663786geonode:Flood_zone_2019The 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_2019featuresurn:ogc:def:crs:EPSG::303512.198289452620783 43.9663563046252112.793888334336176 44.863879148902555geonode:Flood__2Data about floods vulnerability in Coastal zone of Montenegro.Flood__2featuresurn:ogc:def:crs:EPSG::3263418.436719997388547 41.832737033637419.390469486311204 42.51916949705535geonode:floraFlora 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.featuresurn:ogc:def:crs:EPSG::3765-30.06858411903563 3.54109329649910325.682855603988084 49.95854615250205geonode:foul_areas_ptFoul 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.featuresurn:ogc:def:crs:EPSG::425812.4269999998827 41.816600000939418.5999999999653 44.4761666677669geonode:foul_areas_polygonsFoul 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)featuresurn:ogc:def:crs:EPSG::432612.2499999999001 37.892494174466619.1080330526833 45.6661111113388geonode:frequencies_of_occurrenc_ygwkaSignificant 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 distributionfeaturesurn:ogc:def:crs:EPSG::432612.3400873842593 40.756071759259319.5324450231481 44.8724525462963geonode:Fresh_watersFresh waters in Croatia according to Croatian habitat mapFresh_watersfeaturesurn:ogc:def:crs:EPSG::376513.613780322987727 42.653870113588718.216361549568138 45.500911321567735geonode:gt_per_harbour_mediterra_opcczGross 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_opcczfeaturesurn:ogc:def:crs:EPSG::4326-5.437885 33.934.99 48.9geonode:gt_per_harbourGross 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_harbourfeaturesurn:ogc:def:crs:EPSG::432620.4413794610001 37.935000000000121.4180000000001 38.8504758920001geonode:G_3_1_1_4__Association_with_Zostera_noltii_in0T2.2-HR3000003 Vrsarski otoci marine habitat-G.3.1.1.4.-Association with Zostera noltii in euryhaline and eurythermal environmentG.3.1.1.4._Association_with_Zostera_noltii_in_euryhaline_and_eurythermal_environmentfeaturesurn:ogc:def:crs:EPSG::376513.603407900891533 45.1618702871977613.607367773713543 45.163051963002516geonode:G_3_2_2_1__Association_with_Cymodocea_nodosa0T2.2.-HR3000003 Vrsarski otoci Marine habitat-G.3.2.2.1.-Association with Cymodocea nodosafeaturesG.3.2.2.1._Association_with_Cymodocea_nodosaurn:ogc:def:crs:EPSG::376513.567009445697877 45.1618720917078813.59763740484302 45.19913207433855geonode:G_3_2_2_1__Association_with_Cymodocea_nodosa_1T2-2--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 cylindraceafeaturesurn:ogc:def:crs:EPSG::376513.593064177125411 45.18366533083043613.595201393975126 45.18601292334902geonode:G_3_2_2_1__Association_with_Cymodocea_nodosa_2T2.2.-Vrsarski otoci Marine habitats: -G.3.2.2.1.-Association with Cymodocea nodosa -G.3.8.6.2.-Invasive species-Caulerpa cylindraceaefeaturesG.3.2.2.1._Association_with_Cymodocea_nodosa_G.3.8.6.2._Invasive_species_Caulerpa_cylindraceaeurn:ogc:def:crs:EPSG::376513.578755296434027 45.1610018372030513.601551294639378 45.19738723935583geonode:G_3_2_3_4__Association_with_Cymodocea_nodosa0T2.2-HR3000003 Vrsarski otoci Marine habitat: G.3.2.3.4.-Association with Cymodocea nodosafeaturesG.3.2.3.4._Association_with_Cymodocea_nodosaurn:ogc:def:crs:EPSG::376513.582287561993336 45.1421002083210913.60982760450671 45.18150093769699geonode:G_3_2_3_4__Association_with_Cymodocea_nodosa_0T2.2.-HR3000003 Vrsarski otoci Marine habitats: -G.3.2.3.4.-Association with Cymodocea nodosa -G.3.6.1.-Biocenosis of infralittoral algaefeaturesG.3.2.3.4._Association_with_Cymodocea_nodosa_G.3.6.1._Biocenosis_of_infralittoral_algaeurn:ogc:def:crs:EPSG::376513.606661002532988 45.1575866759382213.610792212195932 45.159448705686074geonode:G_3_2_3_4__Association_with_Cymodocea_nodsa_G1T2.2.-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 cylindraceafeaturesurn:ogc:def:crs:EPSG::376513.597683233373587 45.1789145522592913.60366972037127 45.182794076273886geonode:G_3_2_3_4__Association_with_Cymodocea_nodsa_G2T2.2.-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_cylindraceafeaturesurn:ogc:def:crs:EPSG::376513.583648759683502 45.1531608551360613.60865513578963 45.184637372846446geonode:G_3_2_3_5__Association_with_Zostera_noltii0T2.2.-HR3000003 Vrsarski otoci Marine habitat-G.3.2.3.5.-Association with Zostera noltiiG.3.2.3.5._Association_with_Zostera_noltiifeaturesurn:ogc:def:crs:EPSG::376513.603513136344949 45.15473378848755513.606533989036484 45.1558773818111geonode:G_3_2_3__Biocenosis_of_muddy_sands_of_shellte0T2.2.-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 cylindraceafeaturesurn:ogc:def:crs:EPSG::376513.596721157860383 45.18086103267696513.599352969935573 45.18327468040086geonode:G_3_2__Biocenosis_of_infralittoral_detritus_s0T2.2.-HR3000003 Vrsarski otoci Marine habitat-G.3.2.-Biocenosis of infralittoral detritus seabedsfeaturesG.3.2._Biocenosis_of_infralittoral_detritus_seabedsurn:ogc:def:crs:EPSG::376513.562375142355574 45.13945193306451413.607881150624474 45.20092614570405geonode:G_3_2__Infralittoral_fine_sands_with_more_or_2T2.2.-HR3000003 Vrsarski otoci Marine habitats: -G.3.2.-Infralittoral fine sands with more or less mud -G.3.2.3.4.-Ass. with Cymodocea nodosafeaturesG.3.2._Infralittoral_fine_sands_with_more_or_less_mud_G.3.2.3.4._Ass._with_Cymodocea_nodosaurn:ogc:def:crs:EPSG::376513.595438363724574 45.17092107107962613.598894062490668 45.172532378746325geonode:G_3_2__Infralittoral_fine_sands_with_more_or_3T2.2.-HR3000003 Vrsarski otoci marine habitats: -G.3.2.-Infralittoral fine sands with more or less muds -G.3.8.6.2.-Invasive species-Caulerpa cylindraceaG.3.2._Infralittoral_fine_sands_with_more_or_less_muds_G.3.8.6.2._Invasive_species_Caulerpa_cylindraceafeaturesurn:ogc:def:crs:EPSG::376513.587348968887078 45.1409033815125913.603179407772126 45.18057578320866geonode:G_3_4_1__Infralittoral_gravels0T2.2.-HR3000003 Vrsarski otoci Marine habitat-G.3.4.1.-Infralittoral gravelsfeaturesG.3.4.1._Infralittoral_gravelsurn:ogc:def:crs:EPSG::376513.594483022337212 45.1565076240553313.60583015246672 45.18621497511349geonode:G_3_4__Infralittoral_rock_and_gravels_G_3_6_10T2.2.-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 cylindraceafeaturesurn:ogc:def:crs:EPSG::376513.588522092794888 45.1702332212647213.59780253855841 45.1745171710095geonode:G_3_4__Infralittoral_rocks_and_gravels_G_3_2_0T2.2.-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 cylindraceafeaturesurn:ogc:def:crs:EPSG::376513.592806196582579 45.1717326107660613.59540116387328 45.17295741260047geonode:G_3_4__Infralittoral_rocks_and_gravels_G_3_8_0T2.2.-HR3000003 Vrsarski otoci Marine habitats: -G.3.4.-Infralittoral rocks and gravels -G.3.8.6.2.-Invasive species-Caulerpa cylindraceafeaturesG.3.4._Infralittoral_rocks_and_gravels_G.3.8.6.2._Invasive_species_caulerpa_cylindraceaurn:ogc:def:crs:EPSG::376513.591590977379655 45.1708365952065713.59675036835437 45.17365217796638geonode:G_3_4__Infralittoral_rocks_and_gravels0T2.2.-HR3000003 Vrsarski otoci Marine habitat-G.3.4.-Infralittoral rocks and gravelsfeaturesG.3.4._Infralittoral_rocks_and_gravelsurn:ogc:def:crs:EPSG::376513.579428305721752 45.1488265145611313.600561522767723 45.1942721780895geonode:G_3_6_1__Biocenosis_of_infralittoral_algae0T2.2.-HR3000003 Vrsarski otoci Marine habitat-G.3.6.1.-Biocenosis of infralittoral algaefeaturesG.3.2.3.4._Association_with_Cymodocea_nodosa_G.3.6.1._Biocenosis_of_infralittoral_algaeurn:ogc:def:crs:EPSG::376513.567093190037449 45.1395462916520613.606639634958228 45.20018345442757geonode:G_3_6_1__Biocenosis_of_infralittoral_algae_G_1T2.2-HR3000003 Vrsarski otoci Marine habitats: -G.3.6.1.-Biocenosis of infralittoral algae -G.3.2.-Infralittoral fine sands with more or less mudG.3.6.1._Biocenosis_of_infralittoral_algae_G.3.2._Infralittoral_fine_sands_with_more_or_less_muddfeaturesurn:ogc:def:crs:EPSG::376513.563059861150894 45.13945528955582613.607227748404496 45.200367286385415geonode:G_3_6_1__Biocenosis_of_infralittoral_algae_G_2T2.2.-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 cylindraceafeaturesurn:ogc:def:crs:EPSG::376513.57730379761025 45.15061428703107513.604152276859837 45.197622367403454geonode:G_3_6_1__Biocenosis_of_infralittoral_algae_G_3T2.2.-HR3000003 Vrsarski otoci Marine habitats: -G.3.6.1.-Biocenosis of infralittoral algae -G.3.8.6.2.-Invasive species-Caulerpa cylindraceaG.3.6.1._Biocenosis_of_infralittoral_algae_G.3.8.6.2._Invasive_species_Caulerpa_cylindraceafeaturesurn:ogc:def:crs:EPSG::376513.593126220554812 45.153098115640413.603587044128819 45.16046668612052geonode:G_3_8_1_1__Infralittoral_communities_of_the_b0T2.2-HR3000003 Vrsarski otoci Marine habitat-G.3.8.1.1.-Infralittoral communities of the bottom of tourist beaches and healing mudsfeaturesG.3.8.1.1._Infralittoral_communities_of_the_bottom_of_tourist_beaches_and_healing_mudsurn:ogc:def:crs:EPSG::376513.591462153381778 45.1552520501609613.609272700015197 45.186230905434485geonode:G_3_8_2_1__Infralittoral_communities_of_concr0T2.2.-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_featuresurn:ogc:def:crs:EPSG::376513.583842620223486 45.14808666043709513.606338450865497 45.19555389665294geonode:galeus_melastomus_blackm_sbulqData 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_sbulqfeaturesurn:ogc:def:crs:EPSG::432614.14174652099 36.322574777118719.2616271972656 42.2004089355469geonode:galeus_melastomus_blackm_ztumnData 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.featuresgaleus_melastomus_blackm_ztumnurn:ogc:def:crs:EPSG::432615.0474681854248 38.238933563232419.0872097015381 42.1913948059082geonode:generalized_detailed_ded_jlfypThis 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 areafeaturesgeneralized_detailed_ded_jlfypurn:ogc:def:crs:EPSG::391213.553010073826657 45.4304358484844313.946414153273592 45.607403464794444geonode:Fishing_net_stajacica_gavunaraSpatial distribution of fishing activity - gill net - targeting Atherina sp.Fishing_net_stajacica_gavunarafeaturesurn:ogc:def:crs:EPSG::376512.972822171165381 41.5803653882832218.65434674152947 45.62382532154567geonode:Fishing_net_stajacica_bukvara_prostica_psaSpatial distribution of fishing activity - gill net-targeting Boops boopsFishing_net_stajacica_bukvara_prostica_psafeaturesurn:ogc:def:crs:EPSG::376512.972822171101006 41.58036538828048418.65434674153249 45.62382532147769geonode:Fishing_net_stajacica_jastozaraSpatial distribution of fishing activities - gill net-targeting Palinurus elephusFishing_net_stajacica_jastozarafeaturesurn:ogc:def:crs:EPSG::376512.972822171165381 41.5803653882832218.65434674152947 45.62382532154567geonode:Fishing_net_stajacica_girarica0Spatial distribution of fishing activity - gill net-targeting Spicara smarisFishing_net_stajacica_giraricafeaturesurn:ogc:def:crs:EPSG::376512.972822171165381 41.5803653882832218.65434674152947 45.62382532154567geonode:grant_areea_offshore_san_yrcjs679/5000 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.featuresurn:ogc:def:crs:EPSG::3263312.664857063433722 44.136274862037213.354889282354014 44.71496146810952geonode:gridded_distribution_of__mzztjMap of gridded distribution of sightings of giant devil rays in the Adriatic Sea recorded during aerial surveys in 2010 and 2013featuresgridded_distribution_of__mzztjurn:ogc:def:crs:EPSG::303511.764971041871517 35.8422360299059524.967528146649105 45.77308374924891geonode:human_vulnerability_to_o_lianaIt 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_lianafeaturesurn:ogc:def:crs:EPSG::432612.1519715793251 39.789622853012419.6097866937011 45.785125496045geonode:http_www_emodnet_humanac_uxwpfThe 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.featuresurn:ogc:def:crs:EPSG::4326-15.1999999999999 34.182098542000136.3333333 74.5000000000001geonode:hydrocarbon_explorationp_vvpewDecision on Defining Blocks for Award of Concession Contract for Production of Hydrocarbons in Offshore Montenegro; Official Gazette of Montenegro 42/12.hydrocarbon_explorationp_vvpewMontenegrin Adriatic Seafeaturesurn:ogc:def:crs:EPSG::432618.4013110989987 41.673192092681419.3538628772795 42.1699171898871geonode:hydrography1Shape 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)hydrography1featuresurn:ogc:def:crs:EPSG::432611.1953127725273 39.687416033486420.184639048826 46.643367geonode:imo_traffic_regulation_z_hxpwiShips 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.”featuresurn:ogc:def:crs:EPSG::432612.6083333 43.791666700000114.2768333 45.6456667geonode:imo_traffic_regulation_z_wfpovShips' 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).featuresurn:ogc:def:crs:EPSG::432612.525 42.176666700000116.3066667000001 45.7123333000001geonode:imo_traffic_regulation_z_jaljbShips 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.featuresurn:ogc:def:crs:EPSG::432612.5497129 40.885739600000118.3533506000001 45.1133302000001geonode:imo_traffic_regulation_z_ncfosShips' 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.featuresurn:ogc:def:crs:EPSG::432612.314382 42.176666700000116.3591906 45.7123333000001geonode:illex_coindetii_broadtai_lfnkhThe 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_lfnkhfeaturesurn:ogc:def:crs:EPSG::432613.3112115859985 36.227175543989321.9294533482216 45.3466033935547geonode:illex_coindetii_broadtai_lkpfbThe 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_lkpfbfeaturesurn:ogc:def:crs:EPSG::432613.3362846374512 36.227175543989321.4899997711182 44.206184387207geonode:Infralittoral_communities_of_concrete_and_buiInfralittoral communities of concrete and built coast (ports)G.3.8.2.1._Infralittoral_communities_of_concrete_and_built_coast_ports_featuresurn:ogc:def:crs:EPSG::376513.583842620223486 45.14808666043709513.606338450865497 45.19555389665294geonode:Invasive_species_Caulerpa_cylindraceaT2.2.-HR3000003 Vrsarski otoci Invasive species Caulerpa cylindracea in ass. with cymodocea nodosafeaturesG.3.2.2.1._Association_with_Cymodocea_nodosa_G.3.8.6.2._Invasive_species_Caulerpa_cylindraceaeurn:ogc:def:crs:EPSG::376513.574026588064147 45.1397196647857713.609960243096218 45.19704604209655geonode:Invasive_species_Caulerpa_cylindracea0Distribution of invasive species Caulerpa cylindracea in marine NATURA 2000 site HR3000003 Vrsar islandsfeaturesG.3.2.2.1._Association_with_Cymodocea_nodosa_G.3.8.6.2._Invasive_species_Caulerpa_cylindraceaeurn:ogc:def:crs:EPSG::376513.574026588064147 45.1397196647857713.609960243096218 45.19704604209655geonode:Invasive_terrestrial_species_HR3000003T2.2-HR3000003 Vrsarski otoci Invasive terestrial species: Conyza canadensis (L.) Cronquist Bidens subalternans DC. Datura stramonium L.featuresInvasive_terrestrial_species_HR3000003urn:ogc:def:crs:EPSG::376513.591326969889568 45.1478867955378513.602341566532541 45.172241457766184geonode:Izohipse_izobate_20mIsohips and isobaths in Istria countyIzohipse_izobate_20mfeaturesurn:ogc:def:crs:EPSG::376513.486841967269706 44.7355252160217414.274094579469908 45.51711811899509geonode:italy_base_lineThe 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).featuresitaly_base_lineurn:ogc:def:crs:EPSG::425812.2802031 39.816666667000218.5200000000001 45.7216000000002geonode:italy_territorial_watersTerritorial 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).featuresurn:ogc:def:crs:EPSG::425812.5607772690049 39.668345302004418.7803841338966 45.63154997278geonode:environmental_vulnerabilityJonian Environmental Vulnerability to Oil Spillenvironmental_vulnerabilityfeaturesurn:ogc:def:crs:EPSG::3263311.684219922013368 35.471171371439418.627757910095852 42.141119262634554geonode:human_vulnerabilityJonian Human vulnerability to Oil Spillhuman_vulnerabilityfeaturesurn:ogc:def:crs:EPSG::3263311.684219922013368 35.471171371439418.627757910095852 42.141119262634554geonode:jonian_total_vulnerability_oil_spillNo abstract providedjonian_total_vulnerability_oil_spillfeaturesurn:ogc:def:crs:EPSG::3263311.684219922013368 35.471171371439418.627757910095852 42.141119262634554geonode:lng_porto_viroNon-renewable energy infrastructure at sea. Adriatic LNG terminal. Offshore terminal for regasification of liquefied natural gas located in front of Porto Levantefeaturesurn:ogc:def:crs:EPSG::425812.580281314291 45.092642269330512.580481314291 45.092842269330504geonode:lng_operative_terminalsThis 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.pdffeatureslng_operative_terminalsurn:ogc:def:crs:EPSG::432612.5841621667 45.087715666712.5841621667 45.0877156667geonode:land_based_activities_po_wfxzvData represent the location of a petrol station that has a potential negative impact on the environment.land_based_activities_po_wfxzvBiH terrestrial areafeaturesurn:ogc:def:crs:EPSG::3127617.63097505131225 42.9117635852682617.630999652893447 42.911781668679geonode:http_www_geoportal_mrt_g_whknbPolygon based shapefile on land use in coastal area of Montenegro.http_www_geoportal_mrt_g_whknbMontenegro terrestrial areafeaturesurn:ogc:def:crs:EPSG::3263418.42766369018958 41.8267505226880919.392461146076318 42.64678577846733geonode:register_nepremicne_kult_ekzevData 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_ekzevfeaturesurn:ogc:def:crs:EPSG::391213.406919054931159 45.4197701660886813.98741224680336 45.621962746289555geonode:Litophaga_litophaga_Habitat_DirectiveT.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)featuresLitophaga_litophaga_Habitat_Directiveurn:ogc:def:crs:EPSG::376513.564010775769379 45.1419726313249513.60418094957488 45.20028751670087geonode:localisation_and_volume__ixhdsIt 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.featureslocalisation_and_volume__ixhdsurn:ogc:def:crs:EPSG::3263312.81286386830715 44.45545917461138413.045030805286167 44.666100630816636geonode:mapping_of_the_current_l_jenfnMapping of the current location of aquaculture farms (mussels, other mollusks, finfish, seaweed)featuresurn:ogc:def:crs:EPSG::3127617.56740540746009 42.9160587057207917.615306250097266 42.932055313855926geonode:location_of_marinasTourism_recreation - Recreation and touristic areas and facilities - Location of marinas - shape file, WGS84 location_of_marinasfeaturesurn:ogc:def:crs:EPSG::432620.4954469120914 38.180832800994821.42016156239 38.8293754218333geonode:area_of_occurrence_of_ma_kmyhxLocations of appearance of dolphins In the Bay of Boka, almost persistent presence.area_of_occurrence_of_ma_kmyhxMontenegrin Adriatic Seafeaturesurn:ogc:def:crs:EPSG::3263418.556957896560668 42.412514226372918.764033030200185 42.44053301203532geonode:marine_habitats_t_2_2_pi_oqfzaWithin 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).featuresurn:ogc:def:crs:EPSG::432613.5632884407084 45.140152010487613.6107365372638 45.2002774708592geonode:mab_man_and_the_biospher_vdgrmThe 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.featuresurn:ogc:def:crs:EPSG::2583211.875019765484971 44.5330387580289212.566026848490859 45.17497230188217geonode:main_ports_stats_2015_2016Emodnet 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.featuresurn:ogc:def:crs:EPSG::4258-176.142211914 -54.280517578178.4296875 78.231445313geonode:main_traffic_corridors_o_zhuiwAn 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 Triestefeaturesmain_traffic_corridors_o_zhuiwurn:ogc:def:crs:EPSG::432613.3795644531899 45.531505550489113.7433687993576 45.6357713002454geonode:MajorAccidentReportingSystemData 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.featuresMajorAccidentReportingSystemurn:ogc:def:crs:EPSG::376514.540273077728113 45.1972390449688216.39377290066063 45.79087382400472geonode:mapping_of_potential_aqu_lpltxAquaculture - 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_lpltxfeaturesurn:ogc:def:crs:EPSG::432620.43772136 38.1817039221.15378293 38.69998917geonode:mapping_of_the_current_l_vucswAquaculture - Aquaculture areas - Mapping of the current location of aquaculture farms (finfish) - shape file, WGS84aquaculture_areasKephaloniaurn:ogc:def:crs:EPSG::432620.011285 38.20902324521.1344410180001 39.690854geonode:maricultureMarine 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.featuresurn:ogc:def:crs:EPSG::425812.2413835054444 40.419927122438818.76515125033 45.7708739072051geonode:marinas_italyPorts and Marinas of Italy area, Slovenia and Istria (and few more of Croatia) with name and number of boats.featuresurn:ogc:def:crs:EPSG::432612.186684096858 39.796493335971918.4953702354612 45.8147896729447geonode:MarinasMarina Vrsar-Orsera and marina Funtana-Fontane in HR3000003 Vrsar islandsfeaturesMarinasurn:ogc:def:crs:EPSG::376513.595152999232809 45.1482553142483813.60355803539696 45.1787251972701geonode:bokahabiMap of the habitats of the Boka Bay area represent spatial representations of the habitat types.featuresbokahabiurn:ogc:def:crs:EPSG::3263418.501212075377985 42.3859382104385718.77235852237685 42.51876931185688geonode:Platamuni_Biocenotic_map_1_5000Map 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_5000featuresurn:ogc:def:crs:EPSG::3263418.69557894738835 42.2617232486231718.786876826966157 42.335588776179925geonode:ratachabitatPolygon based shapefile on habitat in proposed MPA "Ratac" Montenegrin Adriatic Sea.ratachabitatfeaturesurn:ogc:def:crs:EPSG::3263419.05310920364894 42.11552347004559519.070636459340957 42.12799016163561geonode:marine_protected_areas_e_wdjbrMarine 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.featuresurn:ogc:def:crs:EPSG::425812.3359153670556 44.368611076223412.5883561117594 44.5555333333335geonode:inland_waters_baselines__utkiaThis 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.featuresurn:ogc:def:crs:EPSG::43260.0 0.0-1.0 -1.0geonode:Maritime_routes_and_areasData 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_areasfeaturesurn:ogc:def:crs:EPSG::376513.343377028147296 44.5144029632393614.304738639567214 45.55344678176488geonode:Maritime_routes_and_areas0Maritime routes and areas in Hr3000003 Vrsar islandMaritime_routes_and_areasfeaturesurn:ogc:def:crs:EPSG::376513.568184572651253 45.1483339973475713.599797250954955 45.18480540942016geonode:measurement_reducing_stationMeasurement reducing station in municipality Vrsar-Orserameasurement_reducing_stationfeaturesurn:ogc:def:crs:EPSG::376513.61509110002797 45.2162012190537813.615117441468284 45.216219836901246geonode:merluccius_merluccius_eu_zcyxvData 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.featuresmerluccius_merluccius_eu_zcyxvurn:ogc:def:crs:EPSG::432614.1732338349764 36.227175543989321.6000003814697 43.678581237793geonode:merluccius_merluccius_eu_xbqhsData 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.featuresmerluccius_merluccius_eu_xbqhsurn:ogc:def:crs:EPSG::432613.4695644378662 37.400001525878921.9294533482216 45.3220901489258geonode:meteorological_station_networkMeteorological station network in the Adriatic Sea.featuresurn:ogc:def:crs:EPSG::425812.077375 40.341666667597719.205 45.7814000009428geonode:military_practise_areasAreas restricted or dangerous to navigation , normally used for naval exercises and shooting published by IIM (Istituto Idrografico Marina Militare)featuresmilitary_practise_areasurn:ogc:def:crs:EPSG::385711.833611111025654 38.8833333321506219.000000000438398 44.89999999904968geonode:Military_disposal_sitesMilitary disposal sites in Istria county.featuresMilitary_disposal_sitesurn:ogc:def:crs:EPSG::376512.974626366922998 44.79599132041785513.784378198659162 45.164587338273364geonode:military_practice_areasMilitary 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.featuresurn:ogc:def:crs:EPSG::425812.2499999999001 40.350000000399718.7333333334665 45.2027071045079geonode:Model00featuresModelurn:ogc:def:crs:EPSG::432613.6920171235232 43.381329836292413.8882697687 43.6232843665geonode:water_qualityPublic 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).featureswater_qualityurn:ogc:def:crs:EPSG::3263418.50285947782345 41.8469669715701119.34269230304389 42.527418239045geonode:map_of_the_immediate_sea_ajdwxAreas with seven specially defined categories- for immediate coastal erosion in Montenegro.map_of_the_immediate_sea_ajdwxMontenegro terrestrial areafeaturesurn:ogc:def:crs:EPSG::3263418.433690289529288 41.82687340345414419.390537011863174 42.54495970937geonode:montenegro_territorial_watersTerritorial 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_watersMontenegrin Adriatic Seafeaturesurn:ogc:def:crs:EPSG::432618.4257538754718 41.660008227586219.2661626003908 42.216533371833geonode:mooring_areas_venice_portLayer provided from Venice Port Authority: mooring area - zone di ancoraggio, in prossimità della rada, al di fuori delle bocche di portomooring_areas_venice_portfeaturesurn:ogc:def:crs:EPSG::3263312.34577762915641 45.30226101070988412.557282688488538 45.431520575666944geonode:mullus_barbatus_red_mull_okvuoData 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.featuresmullus_barbatus_red_mull_okvuourn:ogc:def:crs:EPSG::432612.149676322937 40.622539520263719.5290699005127 45.7898216247559geonode:mullus_barbatus_red_mull_whrczData 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.featuresmullus_barbatus_red_mull_whrczurn:ogc:def:crs:EPSG::432612.8303594589233 36.227175543989321.9294533482216 45.3634757995605geonode:mussel_farmReal or potential breeding areas - Emilia-Romagna. For the offical current see Shellfish farms in Emilia-Romagna (IT), 2020azafeaturesmussel_farmurn:ogc:def:crs:EPSG::432612.28499 43.98309912.76475 44.75598geonode:national_marine_protecte_zmxqsPlease 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.featuresurn:ogc:def:crs:EPSG::4326-5.82991260197487 30.633333310244235.8453687852797 45.7066008754915geonode:national_coastlinesShapefile 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).featuresurn:ogc:def:crs:EPSG::432612.1519715793251 39.78973114307819.6097866937011 45.8046239527334geonode:natura_2000_coastal_and__bgvoiThis 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.featuresurn:ogc:def:crs:EPSG::432611.200969029 36.049123101000123.2250151530001 45.881780657geonode:natura_2000_coastal_and__lxppfThis 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.featuresurn:ogc:def:crs:EPSG::43260.0 0.0-1.0 -1.0geonode:natura_2000_sites_veneto_jenbkPolygonal limits of Sites of Community Importance (SCI) and Special Protection Areas (SPAs). Natura2000 networkfeaturesurn:ogc:def:crs:EPSG::300310.622890535678383 44.7711606993864813.178086841570822 46.7220147291536geonode:Natural_coastlineEcological objective EO8-Common Indicator 16-Lenght of coastline subject to physical disturbance due to the influence of manmade structuresfeaturesNatural_coastlineurn:ogc:def:crs:EPSG::376513.48876973979778 44.7487329180776614.243668453384554 45.521560880474404geonode:natural_heritage_ptNatural heritage point location - natural monumentsfeaturesnatural_heritage_pturn:ogc:def:crs:EPSG::432614.203817159932 44.519025037943715.1697228264808 45.4913405694494geonode:nature_charter_according_lfolfLocalization of terrestrial habitat types classified according to the CORINE Biotopes European reference systemfeaturesurn:ogc:def:crs:EPSG::300310.605849462924645 44.77141163320598613.176023785515731 46.72227202451046geonode:features_param_idrvis1The 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_idrvisfeaturesurn:ogc:def:crs:EPSG::432619.2490695919884 41.905333518820519.3346515826838 41.9387269017221geonode:acque_promiscueIn 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.featuresurn:ogc:def:crs:EPSG::565912.202019667587434 43.9665041012482412.830678280786092 44.844945614863995geonode:nephrops_norvegicus_norw_ciskzThe 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_ciskzfeaturesurn:ogc:def:crs:EPSG::432614.14174652099 36.313700473229418.9273738861084 43.6286010742188geonode:nephrops_norvegicus_norw_rddhdThe 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.featuresnephrops_norvegicus_norw_rddhdurn:ogc:def:crs:EPSG::432613.6361646652222 36.324793377634119.2151165008545 45.338508605957geonode:no_trawling_areas1This 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_areasfeaturesurn:ogc:def:crs:EPSG::391213.456683485969032 45.47688255868368413.74954709170661 45.622350892858044geonode:no_trawling_areas_in_rerTrawling 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.featuresurn:ogc:def:crs:EPSG::565912.189262987970947 43.811070740383513.461840899763144 45.00437299574948geonode:Base_mareBathymetry 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 systemBase_marefeaturesurn:ogc:def:crs:EPSG::3263312.186524755479075 42.2059736459880514.836736987313381 45.812016933475434geonode:o_g_extraction_concessio_bcvrfConcession 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.featuresurn:ogc:def:crs:EPSG::43268.65219999999999 36.483318.6667000000001 46.0332999999999geonode:o_g_extraction_platforms_italyList 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.featuresurn:ogc:def:crs:EPSG::432612.343127 36.540638000000118.327114 45.1836340000001geonode:o_g_extraction_platformsThe 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.featuresurn:ogc:def:crs:EPSG::4326-11.058547 5.68E-1432.7128000000001 72.540575geonode:o_g_requested_extraction_uszicIn 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_uszicfeaturesurn:ogc:def:crs:EPSG::432611.5022000000001 36.867700000000114.854 44.9000000000001geonode:o_g_requested_research_p_unkhvNon-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_unkhvfeaturesurn:ogc:def:crs:EPSG::43268.65219999999999 36.666718.9228000000001 45.8666999999999geonode:o_g_research_permit_area_ujarzPermits 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.featuresurn:ogc:def:crs:EPSG::43267.73550000000017 36.085218.9268000000001 45.8667000000001geonode:otb_evfBottom 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 )fisheriesno_trawling_areasurn:ogc:def:crs:EPSG::432612.2429170000001 43.969500000000113.804444 45.7945560000001geonode:merluciusMerluccius merluccius - shapefile - WGS84merluciusKephaloniaurn:ogc:def:crs:EPSG::432620.6167976240001 38.168191815000121.089653662 38.7512559890001geonode:monachusMonachus monachus - shapefile - WGS84Kephaloniamonachusurn:ogc:def:crs:EPSG::432620.327776117 37.996159426000120.871854931 38.691557867geonode:delphinus0Delphinus delphis - shapefile - WGS84 HCMRdelphinusfeaturesurn:ogc:def:crs:EPSG::432620.5415899560001 38.418127921000121.1232341750001 38.806185536geonode:ocean_energy_facilitiesThe 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).featuresurn:ogc:def:crs:EPSG::4326-28.446 27.994443.653 70.663598geonode:GiacimentiIt 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).featuresurn:ogc:def:crs:EPSG::3263312.689057864530556 44.1799638270341513.259252727993251 44.70852807298844geonode:offshore_sand_dredgedThe 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.featuresurn:ogc:def:crs:EPSG::3263312.479246717887325 43.3762031269661714.52192018964723 45.46051192370965geonode:infrastrucureData 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.featuresurn:ogc:def:crs:EPSG::376513.474980284797214 44.7026378321265714.283315810073411 45.47125707352428geonode:infrastrucure_1Data 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.featuresurn:ogc:def:crs:EPSG::376513.546544804356076 44.944667002628514.178510948577904 45.452613308026756geonode:oil_and_gas_terminal_rerMethane gas and oil terminals in the Emilia-Romagna Region offshorefeaturesurn:ogc:def:crs:EPSG::426512.35536605880338 44.45900782105936612.520650715594408 44.48400788056987geonode:PTCP_art28_2019No abstract providedfeaturesPTCP_art28_2019urn:ogc:def:crs:EPSG::258329.361678064442659 43.8577187184358812.819192028567903 45.089860503065346geonode:PTCP_art28_20190No abstract providedfeaturesPTCP_art28_2019urn:ogc:def:crs:EPSG::258329.361678064442659 43.8577187184358812.819192028567903 45.089860503065346geonode:PTCP_art28_20191No abstract providedfeaturesPTCP_art28_2019urn:ogc:def:crs:EPSG::258329.361678064442659 43.8577187184358812.819192028567903 45.089860503065346geonode:PTCP_art28_20192No abstract providedfeaturesPTCP_art28_2019urn:ogc:def:crs:EPSG::258329.361678064442659 43.8577187184358812.819192028567903 45.089860503065346geonode:PTCP_art28_20193No abstract providedfeaturesPTCP_art28_2019urn:ogc:def:crs:EPSG::258329.361678064442659 43.8577187184358812.819192028567903 45.089860503065346geonode:pagellus_erythrinus_comm_yxbicData 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_yxbicfeaturesurn:ogc:def:crs:EPSG::432612.149676322937 38.130737304687519.5174427032471 45.7898216247559geonode:pagellus_erythrinus_comm_diiziData 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_diizifeaturesurn:ogc:def:crs:EPSG::432613.1748914718628 36.251579953314321.9294533482216 45.7814903259277geonode:parapenaeus_longirostris_nocizThe 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_nocizfeaturesurn:ogc:def:crs:EPSG::432614.0609951019287 36.227175543989319.4360466003418 43.661922454834geonode:parapenaeus_longirostris_ixqlhThe 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_ixqlhfeaturesurn:ogc:def:crs:EPSG::432614.2082576751709 36.227175543989321.6599998474121 42.689811706543geonode:ptm_evfPelagic 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 )fisheriesHabitat_types_Slo_adriaticno_trawling_areasurn:ogc:def:crs:EPSG::432612.2429170000001 43.969500000000113.804444 45.7945560000001geonode:Pelagijska_kocaSpatial distribution of fishing activity - pelagic trawlPelagijska_kocafeaturesurn:ogc:def:crs:EPSG::376512.972822171165381 41.5803653882832218.65434674152947 45.62382532154567geonode:established_parks_of_ven_fwhuzAreas delimiting established regional or national parksfeaturesurn:ogc:def:crs:EPSG::300310.872876450047539 44.7875188036625112.66749379828737 46.699835978013255geonode:perimeter_of_regional_an_fljjxAreas delimiting established regional or national reservesfeaturesurn:ogc:def:crs:EPSG::300310.794975753107833 44.9632177767565312.63291501899947 46.56738435492312geonode:permanent_military_areas_ujjhnDerived 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)featuresurn:ogc:def:crs:EPSG::432612.25 40.38472218.388333 44.716667geonode:Pinna_nobilis_Habitat_DirectiveT2.2.-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_Directivefeaturesurn:ogc:def:crs:EPSG::376513.563982905926412 45.14065506001736613.611596006854773 45.20102225508923geonode:pipelinesThe 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).featuresurn:ogc:def:crs:EPSG::4326-11.0591725689999 35.9955051528.142279526 71.5687062220001geonode:pipelines_emilia_romagna_tnoaaSubsea 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.featurespipelines_emilia_romagna_tnoaaurn:ogc:def:crs:EPSG::432612.2813752051813 43.592530975929514.3595201126922 44.7841342486591geonode:pipelines_italy_schematicThe 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_schematicfeaturesurn:ogc:def:crs:EPSG::432612.2644999999999 36.540638000000117.2144440000001 44.689089geonode:pipelines_gasPipeline gas in testing activity-T.2.2.pipelines_gasfeaturesurn:ogc:def:crs:EPSG::376513.614796920979643 45.1250388909539313.639808197603033 45.2254422636581geonode:polygonal_municipalities_ijmemPolygonal municipalities boundariesfeaturesurn:ogc:def:crs:EPSG::300310.605864526804293 44.77115858866804413.178080473518827 46.72218091191576geonode:polygonal_regional_bound_uiteiPolygonal regional boundary of Veneto Regionfeaturesurn:ogc:def:crs:EPSG::300310.605864528917827 44.77115858333172613.178080474770233 46.722180905896444geonode:port_and_harbour_itData 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.featuresurn:ogc:def:crs:EPSG::425812.2325518244362 39.794357694036218.4924917679746 45.7970789668609geonode:port_and_harbourVector 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.featuresport_and_harboururn:ogc:def:crs:EPSG::432612.2325518244362 39.794357693108220.0037867045529 45.7970789659181geonode:port_entranceThe 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.azaport_entrancefeaturesurn:ogc:def:crs:EPSG::432612.3135487579356 44.469162687075312.529394996 44.5202568976448geonode:Porti_marine_RERLa 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_RERfeaturesurn:ogc:def:crs:EPSG::425812.2363538677045 43.9691530694612.7496388986928 44.8420307531152geonode:a__12_Port_and_marinas1Ecological objective EO8-Common Indicator 16-Lenght of coastline subject to physical disturbance due to the influence of manmade structuresfeatures_12_Port_and_marinasurn:ogc:def:crs:EPSG::376513.50121577834734 44.8046652771211614.237224756095872 45.51829595964353geonode:ports_locationData 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.featuresurn:ogc:def:crs:EPSG::376514.038370410118102 45.01307864742944514.060248246348687 45.04152135110889geonode:port_of_montenegroData on ports in the Montenegrin portion of Adriatic sea.port_of_montenegroMontenegrin Adriatic Seafeaturesurn:ogc:def:crs:EPSG::3263418.533720000000127 41.91097697647488519.202792000000063 42.46239327516545geonode:Ports_IstriaData 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_Istriafeaturesurn:ogc:def:crs:EPSG::376513.5092923440101 44.80675802672017514.219326117821765 45.45730411391227geonode:posidonia_4326Posidonia - shapefile - WGS84 According to Decision 167378/14-7-2007 and Decision (2442/51879, 17 May 2016) of the Minister of Rural Development and Foodfeaturesurn:ogc:def:crs:EPSG::432620.372383805 37.92735522521.4876324700001 38.8833684630001geonode:posidonia_around_kephalo_buixdPosidonia - shapefile - WGS84 According to Decision 167378/14-7-2007 and Decision (2442/51879, 17 May 2016) of the Minister of Rural Development and Foodfeaturesurn:ogc:def:crs:EPSG::210019.380588578901477 37.5059868010630121.639597507312402 39.97506659937092geonode:posidoniaPosidonia settlements in Adriatic sea. This layer is the combination of posidonia settlement harvested from Hazadr project partners.posidoniafeaturesurn:ogc:def:crs:EPSG::3263313.651746021272587 39.778962664779418.809774976037893 45.13576375248235geonode:potential_seabirds_sites_qdhsmPotential 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.pdffeaturespotential_seabirds_sites_qdhsmurn:ogc:def:crs:EPSG::303512.00299036243656 41.0734170148303719.45817840413406 45.83173138880385geonode:powerlinesUnderwater 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).featuresurn:ogc:def:crs:EPSG::432612.3039476 39.976983918.9736238 45.3338277geonode:http_www_prirodainfo_me_formaProtected areas in the coastal part of Montenegro including MPA - EMERALD.http_www_prirodainfo_me_formaMontenegro terrestrial areaMontenegrin Adriatic Seafeaturesurn:ogc:def:crs:EPSG::3263418.48907621332801 41.82789519830300419.437940582271526 42.68924275089728geonode:PCAPCA 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.PCAfeaturesurn:ogc:def:crs:EPSG::376513.484929580861253 44.7456948720176714.257398566679228 45.52445325694773geonode:pa1The 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.pa1featuresurn:ogc:def:crs:EPSG::3263418.514057756949082 41.8528690184927319.433415283654746 42.544137145129405geonode:protected_areas1The 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)featuresurn:ogc:def:crs:EPSG::432613.3858266402849 40.158029326539819.6396983810067 45.6341287159663geonode:Protected_areas_POINTProtected 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.featuresProtected_areas_POINTurn:ogc:def:crs:EPSG::376513.531658300350717 42.5638269143223118.922026153412908 46.46388436604992geonode:protected_areasData 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 areasBosnia and Herzegovinaurn:ogc:def:crs:EPSG::303517.64705869751173 42.8450664280560318.037260722105213 43.11715197481478geonode:national_protected_areas1The 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_areas1Slovenian terrestrial areafeaturesurn:ogc:def:crs:EPSG::432613.5611462506571 45.445464870179613.9869871428128 45.5992162112627geonode:Protected_areas_POLYGONSProtected 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.featuresProtected_areas_POLYGONSurn:ogc:def:crs:EPSG::376513.533015853493001 42.4970055964319.445665466416806 46.555098180678634geonode:biological_conservation_zoneMarine and Coastal areas to protect biological diversity, fishery resources and the marine-coastal ecosystem in general.azafeaturesbiological_conservation_zoneurn:ogc:def:crs:EPSG::432612.2482334440796 44.02116912.712892 44.843423geonode:protecged_speciestThe data set shows the spatial distribution of RAC-SPA protected species in Boka Kotorska Bay.protecged_speciestfeaturesurn:ogc:def:crs:EPSG::3263418.53409668929251 42.3916629195157318.770349087555825 42.5063028388259geonode:Protected_speciesT2.2.-HR3000003 Vrsarski otoci Protected species according to CRO legislations and EU legislationsProtected_speciesfeaturesurn:ogc:def:crs:EPSG::376513.562377409239229 45.13942615962413.611656027318892 45.20102225508923geonode:ps_evfPurse 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 )fisheriessmall scale fisheriesurn:ogc:def:crs:EPSG::432612.2429169997198 43.969499999425513.8044440002904 45.7945560001593geonode:Fishing_net_plivarica_srdelaraSpatial distribution of fishing activities-purse seine-targeting Sardina pilchardusfeaturesFishing_net_plivarica_srdelaraurn:ogc:def:crs:EPSG::376512.972822171165381 41.5803653882832218.65434674152947 45.62382532154567geonode:Fishing_net_plivarica_tunolovkaSpatial distribution of fishing activities-purse seine-targeting-Thunus thynnusFishing_net_plivarica_tunolovkafeaturesurn:ogc:def:crs:EPSG::376512.972822171101006 41.58036538828048418.65434674153249 45.62382532147769geonode:RER_Zones_v03Planning units for MSP Italy - Adriatic Subregion - Emilia Romagna Regionmspurn:ogc:def:crs:EPSG::303512.212009698929954 43.94723825733479613.48917578943024 44.804774189689795geonode:raja_clavata_thornback_r_qnxpqData 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_qnxpqfeaturesurn:ogc:def:crs:EPSG::432614.14174652099 36.342542083585314.6824007034302 36.5000152587891geonode:raja_clavata_thornback_r_uiretData 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.featuresraja_clavata_thornback_r_uireturn:ogc:def:crs:EPSG::432614.14174652099 36.344760684100721.9294533482216 39.25geonode:restocking_zonesStructures and areas dedicated to fish restocking and nuersery protection.featuresrestocking_zonesurn:ogc:def:crs:EPSG::385712.344538999984671 39.8728210337709618.269369802443325 45.74737478489992geonode:restricted_areas_port_entrancePort 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.featuresurn:ogc:def:crs:EPSG::432612.3137767 40.654661218.0822047 45.7777938745046geonode:areas_of_respect_of_oil__jlalebuffer around O&G terminals offshore Emilia-Romagnafeaturesurn:ogc:def:crs:EPSG::432612.3428022650909 44.449992040210612.5332048435148 44.4929791667475geonode:windfarm2case study Ritmare-RER: the Measure 4 identify three areas of interest for wind farm development, the WF1 is located in the offshore Ravennawindfarm2featuresurn:ogc:def:crs:EPSG::3263312.437975722608353 44.4116920232303712.504642058460826 44.46883534420985geonode:ztb_new_1case study Ritmare-RER: the Measure 9 identify a suitable area for hosting a Biological protection zone (ZTB) offshore Rimini coastlinefeaturesztb_new_1urn:ogc:def:crs:EPSG::432612.6307422596918 43.982076537839712.8039227212714 44.1522205979743geonode:safety_zone_around_offsh_luesbSafety 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.featuresurn:ogc:def:crs:EPSG::432612.2823812 40.885739600000118.3533506000001 45.3187098000001geonode:submarine_pipelinesSafety zone for submarine pipelines for the transportation of hydrocarbons in the Emilia-Romagna, Marche and Veneto marine area.featuresurn:ogc:def:crs:EPSG::432612.4064579460001 42.219559151867214.943526753876 45.0864673970017geonode:SHORELINE_EVOLUTION_1956_1976_RAShoreline evolution trend, in terms of retreat/advance , along Abruzzo coast for time window 1956-1976SHORELINE_EVOLUTION_1956_1976_RAfeaturesurn:ogc:def:crs:EPSG::432613.919973743836 42.065608489376814.7960702919757 42.8932220358681geonode:SHORELINE_EVOLUTION_1976_1997_RAShoreline evolution trend, in terms of retreat/advance, along Abruzzo coast for time window, 1976-1997SHORELINE_EVOLUTION_1976_1997_RAfeaturesurn:ogc:def:crs:EPSG::432613.9197814462173 42.064852951642914.796049109698 42.8932981531526geonode:SHORELINE_EVOLUTION_1997_2018_RAShoreline evolution trend, in terms of retreat/advance, along Abruzzo coast for the time window 1997-2018shoreline evolutionfeaturesSHORELINE_EVOLUTION_1997_2018_RAurn:ogc:def:crs:EPSG::432613.9197814462173 42.064590496299314.796049109698 42.8932981531526geonode:Proposed_SIC_RERBoundaries 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 09/11/2020featuresSIC NAtura 2000urn:ogc:def:crs:EPSG::3263312.359143687895495 44.5574656771646612.669036215889129 44.73003287392114geonode:spami_specially_protecte_fwxzuThrough 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.featuresspami_specially_protecte_fwxzuurn:ogc:def:crs:EPSG::4326-4.37934635126387 33.218882518836135.7853580580134 45.7052844886313geonode:fe_ssf_newΑ 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_newfeaturesurn:ogc:def:crs:EPSG::432620.2669892389832 37.907221266701421.5051551850689 38.9125002145786geonode:coastLine3No abstract providedmsffe_ssf_newcoastLinefeaturesurn:ogc:def:crs:EPSG::432619.3733243103501 34.800912708250129.6452965216001 41.7494201375001geonode:SZ_HT_CORINE_2018SZ_HT_CORINE_2018featuresurn:ogc:def:crs:EPSG::432613.7416809731013 45.539422078268513.767804497536 45.5539440081114geonode:sacca_di_goro_nursery_em_fjuerNursery 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.featuresurn:ogc:def:crs:EPSG::425812.2473961125201 44.757162713789712.3663491935002 44.8435160736431geonode:safety_zone_around_platformsSafety 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 Authoritiesfeaturesurn:ogc:def:crs:EPSG::425812.3368866683851 36.536130534277618.333354236309 45.1879916914634geonode:sardina_pilchardus_europ_uulkjData 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_uulkjfeaturesurn:ogc:def:crs:EPSG::432612.1916563391113 36.214243180564222.7176357073084 45.64306geonode:sardina_pilchardus_europ_mnwzvData 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.featuressardina_pilchardus_europ_mnwzvurn:ogc:def:crs:EPSG::432612.2326184667969 36.132891898449722.734023361571 45.1143830209351geonode:scomber_colias_atlantic__lwdyqData 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__lwdyqfeaturesurn:ogc:def:crs:EPSG::432612.2532095627209 36.109595474175922.7346704942145 45.7096142281436geonode:scomber_colias_atlantic__vfdvdData 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__vfdvdfeaturesurn:ogc:def:crs:EPSG::432612.3294384123303 36.109595474175922.7346704942145 45.752420234125geonode:scomber_scombrus_atlanti_sacnhData 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_sacnhfeaturesurn:ogc:def:crs:EPSG::432612.30633216526 36.109595474175922.7346704942145 45.7051947185geonode:flood_hazard_and_risk_maps_e_r_1Maps processed according to Flood directive 2007/60 and National law 49/2010featuresurn:ogc:def:crs:EPSG::3263212.185986899042334 43.9665472173987212.80759314860026 44.86152190398248geonode:Sea_quality_annual_assessment_2015Final 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.featuresSea_quality_annual_assessment_2015urn:ogc:def:crs:EPSG::376513.48796927750853 42.38864845132500418.619033227814175 45.53674858959588geonode:Localita_Colpite_2019_bisSites 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 facilitiesfeaturesurn:ogc:def:crs:EPSG::2583312.231580027665341 43.96193639666082512.723574591126074 44.85924885084735geonode:monitoring_researchSea 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 2011monitoring_researchfeaturesurn:ogc:def:crs:EPSG::432612.343611 44.214582999057212.6608330000001 44.522499999057geonode:seabed_of_montenegrin_ad_zgzowPolygon based shapefile on seabed in Montenegrin Adriatic Sea.Montenegrin Adriatic Seafeaturesseabed_of_montenegrin_ad_zgzowurn:ogc:def:crs:EPSG::432618.483943323818 41.822787993212619.393478208706 42.5171317672709geonode: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_featuresurn:ogc:def:crs:EPSG::3263212.200995923057269 43.9677990005240712.803950090778741 44.81961026717128geonode:a__2_Seawater_Revetments_Sea_dikeEcological objective EO8-Common Indicator 16-Lenght of coastline subject to physical disturbance due to the influence of manmade structures_2_Seawater_Revetments_Sea_dikefeaturesurn:ogc:def:crs:EPSG::376513.509174139510506 44.80092941601909514.170464632283426 45.51306859980423geonode:gns_evfSet 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 )fisheriessmall scale fisheriesurn:ogc:def:crs:EPSG::432612.2429170000001 43.969500000000113.804444 45.7945560000001geonode:http_www_geoportal_mrt_g_mqdtyThe file contains a GIS database sewage drain location point Montenegro coastal area.Montenegrin Adriatic Seahttp_www_geoportal_mrt_g_mqdtyfeaturesurn:ogc:def:crs:EPSG::3263418.503088056519747 41.89272519467143519.235799999905154 42.52522367850986geonode:a__2019_shellfish_farms_in__eztyo0Mussels 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_areasfeaturesurn:ogc:def:crs:EPSG::2583212.203264797928417 43.9895192957655912.802201753662874 44.8417839591569geonode:shellfish_farms_in_emili_ttjkkMussels 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.featuresurn:ogc:def:crs:EPSG::2583312.171863764205357 44.4909303357590112.288336511866799 44.81880361639807geonode:coastline_2014_emilia_ro_iypxhThe 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 sandfeaturesurn:ogc:def:crs:EPSG::565912.200974441644881 43.9678145327458512.805649889267672 44.84533494632837geonode:Dinamica_Spiaggia_2006_2018The 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 Regionbech erosioncoastal defencefeaturescoastal dynamicsurn:ogc:def:crs:EPSG::2583212.201014518020962 43.967942214658612.801637351084663 44.819506879040325geonode:slovenian_marine_habitat_ypmlvLayer 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 areaslovenian_marine_habitat_ypmlvfeaturesurn:ogc:def:crs:EPSG::379413.382654287699612 45.4757664178468513.749300528039077 45.63284272582208geonode:slovenian_reference_areaAn ad-hoc layer representing reference area to support Portodimare geoportal modulesslovenian_reference_areaSlovenian terrestrial areafeaturesurn:ogc:def:crs:EPSG::379413.296197005650926 45.431878455694213.77072710211068 45.646149266347095geonode:ssf_evfSmall 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 )artisanalfisheriessmall scale fisheriesurn:ogc:def:crs:EPSG::432612.241058906877 43.933386277835213.7666877648516 45.7834083712176geonode:small_scale_fishery_vl_0_khwhsLayer about small scale fishery, vessel Length 01-12 meters. The layer was cleaned of the feature with gridcode = 5 (very low class).featuressmall_scale_fishery_vl_0_khwhsurn:ogc:def:crs:EPSG::4326-5.44288500000001 34.65016762633.487115 45.770167626geonode:small_scale_fishery_vl_1_arjxvLayer 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_arjxvfeaturesurn:ogc:def:crs:EPSG::4326-5.44288500000001 34.65016762633.527115 45.780167626geonode:solea_solea_common_sole__xidplData 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__xidplfeaturesurn:ogc:def:crs:EPSG::432612.2410593032837 43.237350463867213.8146705627441 45.7853965759277geonode:solea_solea_common_sole__zsacfData 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__zsacffeaturesurn:ogc:def:crs:EPSG::432612.2313098907471 43.250835418701214.025990486145 45.7525024414062geonode:spatial_distribution_of__hchaySignificant 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)featuresspatial_distribution_of__hchayurn:ogc:def:crs:EPSG::432612.7813337189608 40.841365296967619.0598691478364 44.8601049731899geonode:spatial_distribution_of__adljwWind 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)featuresspatial_distribution_of__adljwurn:ogc:def:crs:EPSG::432612.8564799346143 39.971240113724319.3857209346126 45.1679829504577geonode:tivatIn 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.featurestivaturn:ogc:def:crs:EPSG::3263418.704778923742357 42.3876789774419718.727106392694104 42.401577707682165geonode:fishing_net_ludra_zagonica_fruza_Spatial distribution of specific methods of fishing -targeting species from family Sparidaefishing_net_ludra_zagonica_fruza_featuresurn:ogc:def:crs:EPSG::376512.972822171165381 41.5803653882832218.65434674152947 45.62382532154567geonode:moreracnjakSpatial distribution of fishing activity - specific type of gear -targeting Maja squinadomoreracnjakfeaturesurn:ogc:def:crs:EPSG::376512.972822171165381 41.5803653882832218.65434674152947 45.62382532154567geonode:speleological_objects_cadastreA 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.featuresurn:ogc:def:crs:EPSG::376513.503363044536856 42.48559141848413418.57403853386902 46.329590284530234geonode:storage_and_treatment_te_ehcqqSites 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_ehcqqfeaturesurn:ogc:def:crs:EPSG::43268.78211566700008 36.560507778000117.1546126670001 45.974833778geonode:Strictly_protected_species_HR3000003_VrsarskiT2.2-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. KuntzefeaturesStrictly_protected_species_HR3000003_Vrsarski_otociurn:ogc:def:crs:EPSG::376513.568298679825634 45.1417482046705313.60531479910803 45.198645228082334geonode:submarine_hydrocarbons_p_gyxkkSubmarine pipelines for the transportation of hydrocarbons in the Emilia-Romagna, Marche and Veneto (LNG) marine areafeaturesurn:ogc:def:crs:EPSG::432612.2813752068237 43.592531017563214.359520114022 45.0874296547958geonode:rer_project_areaSea 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)featuresrer_project_areaurn:ogc:def:crs:EPSG::432612.2399753093299 43.968182127200613.4602164048308 44.8484960257158geonode:Study_areaNo abstract providedStudy_areafeaturesurn:ogc:def:crs:EPSG::303520.25575350133041 37.8709961128940221.59178474264217 38.918540280543965geonode:terrestrial_habitats_t_2_nybrsWithin 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).featuresurn:ogc:def:crs:EPSG::432613.5677539769857 45.141411317369413.6054499902871 45.1981346566003geonode:TRIX_2006_2Trophic 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_2featuresurn:ogc:def:crs:EPSG::376513.392124878787643 42.5973089504443618.186072196800392 45.47699671472182geonode:telecommunication_cables_rahwlAbstract 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  2014-07-31featuresurn:ogc:def:crs:EPSG::4326-80.160172 -36.5026139.620874 78.22195geonode:temporary_military_areas_wlmsdDerived 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)featuresurn:ogc:def:crs:EPSG::432612.317475 40.3518.733333 45.202707geonode:terrestrial_administrati_bqagvThis 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.featuresurn:ogc:def:crs:EPSG::4326-63.15119 -21.3888555.83578 71.18416geonode:http_www_geoportal_mrt_g_qazqqThis 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 Seafeatureshttp_www_geoportal_mrt_g_qazqqurn:ogc:def:crs:EPSG::3263418.705037137407103 41.8572946080220119.35719498215067 42.410755841525756geonode:terrestrial_habitats_pointsMap provided a points of non-forest habitats in Croatia described by the National Habitat Classification (2016.)featuresterrestrial_habitats_pointsurn:ogc:def:crs:EPSG::376513.554084903932875 42.39174270056451419.002278547536154 46.50278554316405geonode:rer_project_area0The 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.featuresrer_project_areaurn:ogc:def:crs:EPSG::432612.2399753093299 43.968182127200613.4602164048308 44.8484960257158geonode:naravne_vrednoteThe 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 areafeaturesnaravne_vrednoteurn:ogc:def:crs:EPSG::432613.5607798219488 45.441279322352613.9968234667427 45.6092235307841geonode:coastal_and_marine_monit_njgdjTidal and waves networkfeaturescoastal_and_marine_monit_njgdjurn:ogc:def:crs:EPSG::425812.2892555555556 40.1472500009318.4971916666667 45.6496027787207geonode:Tourism_2019_Emilia_Romagna_RegionTourist 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.featuresurn:ogc:def:crs:EPSG::3263311.943829784293214 43.9172720242319712.756843617486108 44.94523732833265geonode:Tourism_2018_Emilia_Romagna_RegionTourist 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.featuresurn:ogc:def:crs:EPSG::3263311.943829784293214 43.9172720242319712.756843617486108 44.94523732833265geonode:Touristic_areas_PCA_2018_ISTRIA_COUNTYTouristic areas in the Protected coastal area in the Istria county according to Spatial Plan of the Istria county (2016.)Touristic_areas_PCA_2018_ISTRIA_COUNTYfeaturesurn:ogc:def:crs:EPSG::376513.48878850536242 44.7846441239285314.24203547160442 45.51999234780874geonode:Touristic_areas_PCA_2018_ISTRIA_COUNTY0Touristic areas in the protected coastal zone in Istria County according to Physical Plan of Istria County (2016.)Touristic_areas_PCA_2018_ISTRIA_COUNTYfeaturesurn:ogc:def:crs:EPSG::376513.48878850536242 44.7846441239285314.24203547160442 45.51999234780874geonode:trachurus_mediterraneus__kipzgData 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__kipzgfeaturesurn:ogc:def:crs:EPSG::432612.2186900003516 36.133559999674322.7340048029241 45.7335600003836geonode:trachurus_trachurus_atla_wxaiuData 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_wxaiufeaturesurn:ogc:def:crs:EPSG::432612.2829832128906 36.125182208198622.7342375228592 45.70406geonode:Fishing_net_stajacica_salparaSpatial distribution of fishing activity - trammel net-targeting Sarpa salpaFishing_net_stajacica_salparafeaturesurn:ogc:def:crs:EPSG::376512.972822171165381 41.5803653882832218.65434674152947 45.62382532154567geonode:Fishing_net_stajacica_siparaSpatial distribution of fishing activity - trammel net-targeting Sepia officinalisfeaturesFishing_net_stajacica_siparaurn:ogc:def:crs:EPSG::376512.972822171165381 41.5803653882832218.65434674152947 45.62382532154567geonode:Fishing_net_stajacica_listaricaSpatial distribution of fishing activity - trammel net-targeting Solea soleafeaturesFishing_net_stajacica_listaricaurn:ogc:def:crs:EPSG::376512.972822171165381 41.5803653882833118.65434674152947 45.62382532154567geonode:Transitional_watersTransnational waterTransitional_watersfeaturesurn:ogc:def:crs:EPSG::376513.573036435168884 42.6433782060864218.216963937385028 45.51897841264218geonode:vrsa_rakoviSpatial distribution of fishing activity - trap for big crabsvrsa_rakovifeaturesurn:ogc:def:crs:EPSG::376512.972822171165381 41.5803653882832218.65434674152947 45.62382532154567geonode:vrsa_skampiSpatial distribution of fishing activity - trap-targeting Nephrops norvegicusvrsa_skampifeaturesurn:ogc:def:crs:EPSG::376512.972822171101006 41.58036538828048418.65434674153249 45.62382532147769geonode:Tartana_kogol_strasin_kocicaSpatial distribution of fishing activity - trawl-targeting Spicara smarisTartana_kogol_strasin_kocicafeaturesurn:ogc:def:crs:EPSG::376512.972822171165381 41.5803653882832218.65434674152947 45.62382532154567geonode:tursiop_sighting_emilia__eugeoSites 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.featuresurn:ogc:def:crs:EPSG::432612.3931274414062 44.479309082031212.9058837890625 44.761474609375geonode:tursiops_truncatus_predi_fzhkfDensity 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/fullfeaturesurn:ogc:def:crs:EPSG::303512.099948546735874 40.01019114697144420.350057283431646 45.85787663809205geonode:Tursiops_truncatusDistribution of Tursiops truncatus in Istria countyfeaturesTursiops_truncatusurn:ogc:def:crs:EPSG::376513.47727097216353 44.6727106939562614.096070199219863 45.18264461450007geonode:Tursiops_truncatus0Distribution of Tursiops truncatus in Istria CountyfeaturesTursiops_truncatusurn:ogc:def:crs:EPSG::376513.47727097216353 44.6727106939562614.096070199219863 45.18264461450007geonode:Tursiops_truncatus1Distribution of Tursiops truncatus in HR3000003 Vrsar islandsfeaturesTursiops_truncatusurn:ogc:def:crs:EPSG::376513.47727097216353 45.1324692380922313.597224562582554 45.17144037132462geonode:Type_of_coastline_Istria_countyType of coastline-Istria countyType_of_coastline_Istria_countyfeaturesurn:ogc:def:crs:EPSG::376513.488688634912295 44.7144170136186114.264363945688547 45.522010545099285geonode:ULSG_maritime_border_ISTRIA_CountyMaritime boundaries of units of local self government in Istria county.ULSG_maritime_border_ISTRIA_Countyfeaturesurn:ogc:def:crs:EPSG::376513.202460127937954 44.45299078727324414.283957635926916 45.60650779136838geonode:Underwater_beach_slope2012Classification 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-RERUnderwater_beach_slope2012featuresurn:ogc:def:crs:EPSG::565912.201025524790522 43.96798188505607612.801583887772209 44.819416078216854geonode:Cultural_HeritageUnderwater cultural heritage polygon locations in Coastal zone of Montenegro.Cultural_Heritagefeaturesurn:ogc:def:crs:EPSG::3263418.675302595881778 42.5016313511321318.696619572641612 42.51734769099532geonode:Unit_of_local_self_government_ISTRIA_COUNTYUnits of local self government in the Istria countyUnit_of_local_self_government_ISTRIA_COUNTYfeaturesurn:ogc:def:crs:EPSG::376513.48862201642034 44.7487330339016614.243665723602938 45.52441499894127geonode:ULSG_CroatiaUnits 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_Croatiafeaturesurn:ogc:def:crs:EPSG::376513.433451847203965 42.34219757036992619.51795520048746 46.55509807810333geonode:variation_of_the_seabed__oxlsiVariation of the seabed in accumulation from Regional Territorial Coordination Plan 1992featuresurn:ogc:def:crs:EPSG::300312.342628019032635 44.78633004690010512.568094510199249 45.08212681666735geonode:veneto_rail_networkRail network from DBase priority layers 1:10.000featuresurn:ogc:def:crs:EPSG::300310.632992300398742 44.8492038004627213.044610738161666 46.484768240507286geonode:venice_lagoon_boundaryPerimeter of Venice lagoon featuresvenice_lagoon_boundaryurn:ogc:def:crs:EPSG::300312.123796756269671 45.1728683711352512.63632356323926 45.58939102174987geonode:Vrsar_Funtana_GP0Building areas in units of local self-government: Municipality of Vrsar-Orsera and Funtana-FontaneVrsar_Funtana_GPfeaturesurn:ogc:def:crs:EPSG::376513.579907818842498 45.1277277816391413.734795769299966 45.20257020405391geonode:vulnerability_of_marine__pomayThe 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 areafeaturesvulnerability_of_marine__pomayurn:ogc:def:crs:EPSG::3263418.50259835294523 41.84341117236050419.347691003383936 42.52303965815147geonode:WFD_Bad_2015CARLIT (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_2015featuresurn:ogc:def:crs:EPSG::376513.585833640001386 45.1994229408126913.586623462482867 45.19985033180259geonode:WFD_Good_2011CARLIT (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_2011featuresurn:ogc:def:crs:EPSG::376513.579677834774822 45.1979233765171713.588585534398543 45.20004611389649geonode:WFD_Good_2015CARLIT (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.featuresWFD_Good_2015urn:ogc:def:crs:EPSG::376513.581305804424028 45.15945996886263513.604000065947904 45.19984695827119geonode:WFD_Good_2016CARLIT (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_2016featuresurn:ogc:def:crs:EPSG::376513.596135629019972 45.1597944578271613.604000769132531 45.168095940389826geonode:WFD_High_2015CARLIT (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.featuresWFD_High_2015urn:ogc:def:crs:EPSG::376513.589347114307904 45.14663201749104413.604470644571867 45.17269065040739geonode:WFD_High_2016CARLIT (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.featuresWFD_High_2016urn:ogc:def:crs:EPSG::376513.58934204787048 45.1466400670222613.604470281687888 45.17273209423311geonode:WFD_Moderate0CARLIT (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.featuresWFD_Moderateurn:ogc:def:crs:EPSG::376513.579674648752905 45.14652537802053413.600751275195575 45.19959673651425geonode:WFD_ModerateCARLIT (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.featuresWFD_Moderateurn:ogc:def:crs:EPSG::376513.579674648752905 45.14652537802053413.600751275195575 45.19959673651425geonode:WFD_Poor_2015CARLIT (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.featuresWFD_Poor_2015urn:ogc:def:crs:EPSG::376513.5804028841982 45.1987435386388113.587593659469576 45.19998985647682geonode:waste_disposal_dumped_mu_qliydThe 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).featureswaste_disposal_dumped_mu_qliydurn:ogc:def:crs:EPSG::4326-15.2170937469788 28.100349214544734.2775993239497 56.4049926481922geonode:wind_farms_emodnetThe 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.featuresurn:ogc:def:crs:EPSG::32628-50.213114907205885 22.91278076010126329.633386617085602 115.99461006577008geonode:world_heritage_sites_2017Mediterranean 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.htmlfeaturesurn:ogc:def:crs:EPSG::43261.31726976363499 38.709436127260618.8097859358045 42.5392121190984geonode:wrecksMost 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.featuresurn:ogc:def:crs:EPSG::432612.3028335 39.762425918.5663698 45.7295geonode:air_italian_coastlineNo abstract providedair_italian_coastlinefeaturesurn:ogc:def:crs:EPSG::432612.0978594288319 36.646848144535418.520107049381 45.8050035565377geonode:aqua0featuresaquaurn:ogc:def:crs:EPSG::432620.011285 38.20902324521.1344410180001 39.690854geonode:dolphins_appearanceNo abstract providedfeaturesdolphins_appearanceurn:ogc:def:crs:EPSG::3263418.556957896560668 42.412514226372918.764033030200185 42.44053301203532geonode:habitat_1110_1170_HR3000003_Vrsarski_otociT2.2.-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_otocifeaturesurn:ogc:def:crs:EPSG::376513.563059861150894 45.13945528955582613.607227748404496 45.200367286385415geonode:habitat_1110_HR3000003_Vrsarski_otociT2.2.-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_otocifeaturesurn:ogc:def:crs:EPSG::376513.562375142355574 45.13945193306451413.607881150624474 45.20092614570405geonode:habitat_1150_HR3000003_Vrsarski_otociT2.2.-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 exchangehabitat_1150_HR3000003_Vrsarski_otocifeaturesurn:ogc:def:crs:EPSG::376513.603407900891533 45.1618702871977613.607367773713543 45.163051963002516geonode:habitat_1160_1170_HR3000003_Vrsarski_otociT2.2.-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_otocifeaturesurn:ogc:def:crs:EPSG::376513.596721157860383 45.15736537775213.610792212195932 45.183534788396706geonode:habitat_1160_HR3000003_Vrsarski_otociT2.2.-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.featureshabitat_1160_HR3000003_Vrsarski_otociurn:ogc:def:crs:EPSG::376513.582042296507444 45.1421002083210913.60982760450671 45.18629831910087geonode:habitat_1170_HR3000003_Vrsarski_otociT2.2.-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.featureshabitat_1170_HR3000003_Vrsarski_otociurn:ogc:def:crs:EPSG::376513.567093190037449 45.1395462916520613.606639634958228 45.20018345442757geonode:habitat_1170_terrestrial_HR3000003T2.2.-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_HR3000003featuresurn:ogc:def:crs:EPSG::376513.578206790672809 45.1571998907710113.599891879021229 45.17528818868967geonode:habitat_1210_HR3000003_Vrsarski_otociT2.2.HR3000003 Vrsarski otoci Terrestrial habitat-1210-Annual vegetation of drift linesfeatureshabitat_1210_HR3000003_Vrsarski_otociurn:ogc:def:crs:EPSG::376513.603491217728264 45.157275665671313.604602895072865 45.15832933825625geonode:habitat_1240_HR3000003_Vrsarski_otociT2.2.-HR3000003 Vrsarski otoci Terrestrial habitat-1240-Vegetated sea cliff of the Mediterranean with endemic Limonium spp.habitat_1240_HR3000003_Vrsarski_otocifeaturesurn:ogc:def:crs:EPSG::376513.567745251457438 45.1410685708406913.606218431291705 45.19903028363149geonode:habitat_6220T2.2.-HR3000003 Vrsarski otoci Terrestrial habitat 6220-Pseudo-stepps with grasses and annuals of the Thero-Brachypodieteafeatureshabitat_6220urn:ogc:def:crs:EPSG::376513.568379860845372 45.14815657463913.598372316545927 45.19861573423433geonode:habitat_62A0_Eastern_sub_mediterranean_dry_grT2.2.-HR3000003 Vrsarski otoci Terrestrial habitat 62A0-Eastern sub-mediterranean dry grasslands (Scorzoneretalia villosae)featureshabitat_62A0_Eastern_sub_mediterranean_dry_grasslands_Scorzoneretalia_villosae_urn:ogc:def:crs:EPSG::376513.568379860845372 45.1629635665455613.597620101445672 45.19861573423433geonode:habitat_9340_HR3000003T2.2.-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_HR3000003featuresurn:ogc:def:crs:EPSG::376513.56807089873264 45.1412983578661913.606185989651662 45.1989625551382geonode:no_trawling_areas2No abstract providedno_trawling_areasfeaturesurn:ogc:def:crs:EPSG::391213.456683485969032 45.47688255868368413.74954709170661 45.622350892858044geonode:obalna_linija0No abstract providedfeaturesobalna_linijaurn:ogc:def:crs:EPSG::3263418.493344371825376 41.828358820838719.404180710185237 42.530139402053216geonode:oil_spill_anconaNo abstract providedfeaturesoil_spill_anconaurn:ogc:def:crs:EPSG::432613.6920171235232 43.381329836292413.8882697687 43.6232843665geonode:pSCI_HR3000003_Vrsarski_otociArea of testing site T2.2. Vrsarski otoci Marine NATURA 2000 site Vrsarski otoci (HR3000003)featurespSCI_HR3000003_Vrsarski_otociurn:ogc:def:crs:EPSG::432613.5633876657324 45.140144005518413.6109714575726 45.2002327294671geonode:river_basin0Data 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.providedriver_basinfeaturesurn:ogc:def:crs:EPSG::303516.999139468498647 42.59588232439388418.511469574982883 43.95653922068476geonode:road_network_veneto_regionfeaturesroad_network_veneto_regionurn:ogc:def:crs:EPSG::300310.607177953730156 44.7746681645282113.172044926952331 46.70051576988783geonode:seabed_erosion_emilia_ro_vuhspfeaturesseabed_erosion_emilia_ro_vuhspurn:ogc:def:crs:EPSG::4326-180.0 -90.0180.0 90.0geonode:sole_sanctuaryNo abstract providedfeaturessole_sanctuaryurn:ogc:def:crs:EPSG::432612.9261257946541 44.173890470801913.5250631021559 44.7004493198504geonode:submarine_beach_slope2014featuressubmarine_beach_slope2014urn:ogc:def:crs:EPSG::565912.201025524790522 43.96798188505607612.801583887772209 44.819416078216854geonode:testLayerNo abstract providedtestLayerfeaturesurn:ogc:def:crs:EPSG::43268.49658466818269 39.907748897407912.3559166901038 45.4374626368472geonode:testLayer0No abstract providedtestLayerfeaturesurn:ogc:def:crs:EPSG::43268.49658466818269 39.907748897407912.3559166901038 45.4374626368472geonode:water_quality0No abstract providedfeatureswater_qualityurn:ogc:def:crs:EPSG::3263418.50285947782345 41.8469669715701119.34269230304389 42.527418239045geonode:water_quality1No abstract providedfeatureswater_qualityurn:ogc:def:crs:EPSG::3263418.50285947782345 41.8469669715701119.34269230304389 42.527418239045geonode:zone_parchi_riserve_rer202109No abstract providedzone_parchi_riserve_rer202109featuresurn:ogc:def:crs:EPSG::56599.547606500562152 43.6820072125595312.636321883290613 45.085995278285026geonode:ztb_current_location_and_opurtData 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 areaztb_current_location_and_opurtfeaturesurn:ogc:def:crs:EPSG::4040006473091.42370388 4744678.382036316500405.44074666 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