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

NONE NONE text/xml image/png application/atom+xml application/json;type=utfgrid application/pdf application/rss+xml application/vnd.google-earth.kml+xml application/vnd.google-earth.kml+xml;mode=networklink application/vnd.google-earth.kmz application/x-gpkg application/x-sqlite3 image/geotiff image/geotiff8 image/gif image/jpeg image/png; mode=8bit image/svg+xml image/tiff image/tiff8 image/vnd.jpeg-png image/vnd.jpeg-png8 text/html; subtype=openlayers text/html; subtype=openlayers2 text/html; subtype=openlayers3 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml; subtype=gml/3.1.1 text/html application/json XML INIMAGE BLANK JSON This is a description of your Web Map Server. EPSG:4326 EPSG:3785 EPSG:3857 EPSG:900913 EPSG:32647 EPSG:32736 CRS:84 -180.093743896 180.00625610400002 -90.0 90.0 geonode:global_epto_db_heatmap_sites_group Layer-Group type layer: geonode:global_epto_db_heatmap_sites_group EPSG:4326 -180.093743896 180.00625610400002 -55.124769999999984 89.9999999992 geonode:AM_01_final A Leica Totalstation was used to survey points across the river bed and the banks, including the surveying of the macroinvertebrate sampling locations. During the survey, it was made sure to cover breakpoints and break lines (such as bank bottom and top, islands), bed irregularities (such as large stones, dead wood debris, sudden changes in bed level) and for the other areas to obtain an evenly distributed point density. The point clouds obtained from the survey were interpolated with QGIS to regular grids in 5 cm resolution considering the break lines. These represent a realistic description of the bathymetry and are the most important input data for hydraulic modelling. The data were sampled during the first measuring campaign in spring 2015. You can find the following data: RiverReach_Bathymetry.shp - Measuring points RiverReach.tiff - interpolated grid data on the river reaches WCS GeoTIFF AM_01_final EPSG:25832 CRS:84 11.055506448732155 11.057378163795553 47.77769690850084 47.77842477195522 other text/xml other other other other other other text/xml other other other other geonode:AM_02_final A Leica Totalstation was used to survey points across the river bed and the banks, including the surveying of the macroinvertebrate sampling locations. During the survey, it was made sure to cover breakpoints and break lines (such as bank bottom and top, islands), bed irregularities (such as large stones, dead wood debris, sudden changes in bed level) and for the other areas to obtain an evenly distributed point density. The point clouds obtained from the survey were interpolated with QGIS to regular grids in 5 cm resolution considering the break lines. These represent a realistic description of the bathymetry and are the most important input data for hydraulic modelling. The data were sampled during the first measuring campaign in spring 2015. You can find the following data: RiverReach_Bathymetry.shp - Measuring points RiverReach.tiff - interpolated grid data on the river reaches AM_02_final GeoTIFF WCS EPSG:25832 CRS:84 10.999730178760307 11.00096993384199 47.64722300977044 47.64866000709177 other text/xml other other other other other other text/xml other other other other geonode:A_survey_of_Odonata_of_Puerto_Rico A_survey_of_Odonata_of_Puerto_Rico features EPSG:4326 CRS:84 -67.250533 -65.39258 17.9470825195312 18.5123889 other other other text/xml other other other geonode:Abramis_brama_ No abstract provided features Abramis_brama_ EPSG:4326 CRS:84 8.545833333 29.62083333 42.62083333 49.80416667 other other other other text/xml other other geonode:Alburnoides_bipunctatus_ No abstract provided features Alburnoides_bipunctatus_ EPSG:4326 CRS:84 9.304166667 27.2625 42.39583333 49.59583333 other other other other text/xml other other geonode:Alburnus_alburnus_ No abstract provided features Alburnus_alburnus_ EPSG:4326 CRS:84 8.595833333 29.67083333 42.62916667 49.77916667 other other other other text/xml other other geonode:Alzette_Mosel_Sauer_HW Alzette_Mosel_Sauer_HW features EPSG:2169 CRS:84 5.736707273674757 6.530542740883748 49.4574927303839 49.93064173091854 other other other other other text/xml other geonode:Ameiurus_melas_ No abstract provided Ameiurus_melas_ features EPSG:4326 CRS:84 15.37083333 27.2375 43.8375 49.1875 other other other other text/xml other other geonode:Ameiurus_nebulosus_ No abstract provided features Ameiurus_nebulosus_ EPSG:4326 CRS:84 11.72083333 22.90416667 42.70416667 49.77083333 other other other other text/xml other other geonode:Ammer_Altenau_Bathymetry A Leica Totalstation was used to survey points across the river bed and the banks, including the surveying of the macroinvertebrate sampling locations. During the survey, it was made sure to cover breakpoints and break lines (such as bank bottom and top, islands), bed irregularities (such as large stones, dead wood debris, sudden changes in bed level) and for the other areas to obtain an evenly distributed point density. The point clouds obtained from the survey were interpolated with QGIS to regular grids in 5 cm resolution considering the break lines. These represent a realistic description of the bathymetry and are the most important input data for hydraulic modelling. The data were sampled during the first measuring campaign in spring 2015. You can find the following data: RiverReach_Bathymetry.shp - Measuring points RiverReach.tiff - interpolated grid data on the river reaches Ammer_Altenau_Bathymetry features EPSG:25832 CRS:84 10.999653884041381 11.001596707882427 47.64619024555565 47.64992198180277 other other other other text/xml other other other other other other text/xml other geonode:Ammer_Peissenberg_Bathymetry A Leica Totalstation was used to survey points across the river bed and the banks, including the surveying of the macroinvertebrate sampling locations. During the survey, it was made sure to cover breakpoints and break lines (such as bank bottom and top, islands), bed irregularities (such as large stones, dead wood debris, sudden changes in bed level) and for the other areas to obtain an evenly distributed point density. The point clouds obtained from the survey were interpolated with QGIS to regular grids in 5 cm resolution considering the break lines. These represent a realistic description of the bathymetry and are the most important input data for hydraulic modelling. The data were sampled during the first measuring campaign in spring 2015. You can find the following data: RiverReach_Bathymetry.shp - Measuring points Ammer_Peissenberg_Bathymetry.tiff - interpolated grid data on the river reaches features Ammer_Peissenberg_Bathymetry EPSG:25832 CRS:84 10.999653884041381 11.001596707882427 47.64619024555565 47.64992198180277 other other other other other text/xml other other other other other text/xml other geonode:Anguilla_anguilla_ No abstract provided features Anguilla_anguilla_ EPSG:4326 CRS:84 8.995833333 22.52916667 44.4125 49.22916667 other other other other text/xml other other geonode:Aquatic_Insects_LACIA_INPA Aquatic_Insects_LACIA_INPA features EPSG:4326 CRS:84 -108.5 -35.6 -31.18 40.43 other other text/xml other other other other geonode:Aquatic_insects_of_central_Germany Aquatic_insects_of_central_Germany features EPSG:4326 CRS:84 8.563577656 9.525349001 50.03748962 50.460593082 other other text/xml other other other other geonode:BaggerseeProject_macrophytspecies No abstract provided features BaggerseeProject_macrophytspecies EPSG:4326 CRS:84 7.34861993789673 11.0404205322266 52.1805992126465 53.5024032592773 other text/xml other other other other other other text/xml other other other other geonode:BaggerseeProject_treespecies No abstract provided BaggerseeProject_treespecies features EPSG:4326 CRS:84 7.34840059280396 11.0406904220581 52.180362701416 53.5025863647461 other text/xml other other other other other other text/xml other other other other geonode:Ballerus_ballerus_ No abstract provided Ballerus_ballerus_ features EPSG:4326 CRS:84 15.17083333 22.90416667 43.82083333 48.7625 other other other other text/xml other other geonode:Ballerus_sapa_ No abstract provided features Ballerus_sapa_ EPSG:4326 CRS:84 11.8375 28.92916667 43.6125 48.97083333 other other other other text/xml other other geonode:Barbatula_barbatula_ No abstract provided features Barbatula_barbatula_ EPSG:4326 CRS:84 10.0375 27.30416667 43.8125 48.9375 other other other other text/xml other other geonode:Barbus_barbus_ No abstract provided features Barbus_barbus_ EPSG:4326 CRS:84 8.604166667 29.20416667 42.45416667 49.6875 other other other other text/xml other other geonode:Bathymetric_map_of_Lake_Mueggelsee CONNY_191_Mueggelsee_Tiefenkarte_2026-05-11_GDAL_GRID_IDW_NN WCS GeoTIFF EPSG:25833 CRS:84 13.621518597964426 13.687827201209704 52.4261472038359 52.450441492828766 geonode:Blicca_bjoerkna_ No abstract provided features Blicca_bjoerkna_ EPSG:4326 CRS:84 8.770833333 29.67083333 42.9125 49.80416667 other other other other text/xml other other geonode:Blicca_bjoerkna_rf_binary No abstract provided Blicca_bjoerkna_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Blicca_bjoerkna_rf_prob No abstract provided Blicca_bjoerkna_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:CNTR_BN_01M_2020_4326 Administrative units Countries features EPSG:4326 CRS:84 -180.0 179.999991 -89.900001 83.664978 other other text/xml other other other other geonode:COG_Achondrostoma_arcasii_rf_prob No abstract provided COG_Achondrostoma_arcasii_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Achondrostoma_arcasii_rf_prob0 No abstract provided COG_Achondrostoma_arcasii_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other text/xml other other other other geonode:COG_Alburnus_alburnus_rf_prob No abstract provided COG_Alburnus_alburnus_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Anabas_testudineus_rf_prob_tif_prob No abstract provided COG_Anabas_testudineus_rf_prob.tif_prob WCS GeoTIFF EPSG:4326 CRS:84 101.0 110.0 8.0 24.0 other other other other text/xml other other geonode:COG_Anguilla_anguilla_rf_prob No abstract provided COG_Anguilla_anguilla_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Aphanius_iberus_rf_prob No abstract provided COG_Aphanius_iberus_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Atherina_boyeri_rf_prob No abstract provided COG_Atherina_boyeri_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Barbus_haasi_rf_prob No abstract provided COG_Barbus_haasi_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Carassius_auratus_rf_prob No abstract provided COG_Carassius_auratus_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Chondrostoma_sp_rf_prob No abstract provided COG_Chondrostoma_sp_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Cobitis_paludica_rf_prob No abstract provided COG_Cobitis_paludica_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Cyprinus_carpio_rf_prob No abstract provided COG_Cyprinus_carpio_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Dicentrarchus_labrax_rf_prob No abstract provided COG_Dicentrarchus_labrax_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Esox_lucius_rf_prob No abstract provided COG_Esox_lucius_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Gambusia_holbrooki_rf_prob No abstract provided COG_Gambusia_holbrooki_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Gobio_lozanoi_rf_prob No abstract provided COG_Gobio_lozanoi_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Lepomis_gibbosus_rf_prob No abstract provided COG_Lepomis_gibbosus_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Liza_aurata_rf_prob No abstract provided COG_Liza_aurata_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Liza_ramada_rf_prob No abstract provided COG_Liza_ramada_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Lota_lota_rf_prob No abstract provided COG_Lota_lota_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 3.9999999999999996 12.0 46.0 53.0 other other other other text/xml other other geonode:COG_Luciobarbus_graellsi_rf_prob No abstract provided COG_Luciobarbus_graellsi_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Luciobarbus_guiraonis_rf_prob No abstract provided COG_Luciobarbus_guiraonis_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Luciobarbus_sclateri_rf_prob No abstract provided COG_Luciobarbus_sclateri_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Luciobarbus_sp_rf_prob No abstract provided COG_Luciobarbus_sp_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Micropterus_salmoides_rf_prob No abstract provided COG_Micropterus_salmoides_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Mugil_cephalus_rf_prob No abstract provided COG_Mugil_cephalus_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Onchorrynchus_mykiss_rf_prob No abstract provided COG_Onchorrynchus_mykiss_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Parachondrostoma_arrigonis_rf_prob No abstract provided COG_Parachondrostoma_arrigonis_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Parachondrostoma_miegii_rf_prob No abstract provided COG_Parachondrostoma_miegii_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Parachondrostoma_turiense_rf_prob No abstract provided COG_Parachondrostoma_turiense_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Pseudochondrostoma_polylepis_rf_prob No abstract provided COG_Pseudochondrostoma_polylepis_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Salaria_fluviatilis_rf_prob No abstract provided COG_Salaria_fluviatilis_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Salmo_trutta_rf_prob No abstract provided COG_Salmo_trutta_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Sander_lucioperca_rf_prob No abstract provided COG_Sander_lucioperca_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Squalius_alburnoides_rf_prob No abstract provided COG_Squalius_alburnoides_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Squalius_pyrenaicus_rf_prob No abstract provided COG_Squalius_pyrenaicus_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Squalius_valentinus_rf_prob No abstract provided COG_Squalius_valentinus_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:COG_Valencia_hispanica_rf_prob No abstract provided COG_Valencia_hispanica_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 -4.1025352477777774 1.9870934486111116 36.54840850833333 42.764911651666665 other other other other text/xml other other geonode:Caddisflies_of_Southeast_China Caddisflies_of_Southeast_China features EPSG:4326 CRS:84 98.32 102.71 26.32 30.18 other other text/xml other other other other geonode:Carassius_auratus_ No abstract provided features Carassius_auratus_ EPSG:4326 CRS:84 8.820833333 29.67083333 44.22916667 49.80416667 other other other other text/xml other other geonode:Carassius_auratus_rf_binary No abstract provided Carassius_auratus_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Carassius_auratus_rf_prob No abstract provided Carassius_auratus_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Carassius_carassius_ No abstract provided features Carassius_carassius_ EPSG:4326 CRS:84 8.595833333 28.52083333 43.87916667 49.32083333 other other other other text/xml other other geonode:Carassius_carassius_rf_binary No abstract provided Carassius_carassius_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Carassius_carassius_rf_prob No abstract provided Carassius_carassius_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Carassius_gibelio_ No abstract provided features Carassius_gibelio_ EPSG:4326 CRS:84 10.0375 29.62083333 42.57916667 49.79583333 other other other other text/xml other other geonode:Carassius_gibelio_rf_binary No abstract provided Carassius_gibelio_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Carassius_gibelio_rf_prob No abstract provided Carassius_gibelio_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Cobitis_taenia_ No abstract provided features Cobitis_taenia_ EPSG:4326 CRS:84 14.7375 27.82916667 44.22916667 49.2375 other other other other text/xml other other geonode:Cobitis_taenia_rf_binary No abstract provided Cobitis_taenia_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Cobitis_taenia_rf_prob No abstract provided Cobitis_taenia_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:ComparativePhylogeography_SDM_LGMtoPresent_H_digitata GeoTIFF WCS ComparativePhylogeography_SDM_LGMtoPresent_H.digitata EPSG:4326 CRS:84 73.38125 109.99958333326782 16.00041666637955 41.839583333 other other other other text/xml other other geonode:ComparativePhylogeography_SDM_LGMtoPresent_H_gregoryi ComparativePhylogeography_SDM_LGMtoPresent_H.gregoryi GeoTIFF WCS EPSG:4326 CRS:84 73.38125 109.99958333326782 16.00041666637955 41.839583333 other other other other text/xml other other geonode:ComparativePhylogeography_SDM_LGMtoPresent_H_platon GeoTIFF WCS ComparativePhylogeography_SDM_LGMtoPresent_H.platon EPSG:4326 CRS:84 73.38125 109.99958333326782 16.00041666637955 41.839583333 other other other other text/xml other other geonode:ComparativePhylogeography_SDM_LGMtoPresent_H_tibetana GeoTIFF ComparativePhylogeography_SDM_LGMtoPresent_H.tibetana WCS EPSG:4326 CRS:84 73.38125 109.99958333326782 16.00041666637955 41.839583333 other other other other text/xml other other geonode:Cottus_gobio_ No abstract provided features Cottus_gobio_ EPSG:4326 CRS:84 8.304166667 26.65416667 42.57083333 49.6625 other other other other text/xml other other geonode:Cottus_gobio_rf_binary No abstract provided Cottus_gobio_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Cottus_gobio_rf_prob No abstract provided Cottus_gobio_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Ctenopharyngodon_idella_ No abstract provided features Ctenopharyngodon_idella_ EPSG:4326 CRS:84 10.12083333 29.1125 42.70416667 49.69583333 other other other other text/xml other other geonode:Ctenopharyngodon_idella_rf_binary No abstract provided Ctenopharyngodon_idella_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Ctenopharyngodon_idella_rf_prob No abstract provided Ctenopharyngodon_idella_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Cyprinus_carpio_ No abstract provided features Cyprinus_carpio_ EPSG:4326 CRS:84 8.4375 29.60416667 42.67916667 49.92083333 other other other other text/xml other other geonode:Cyprinus_carpio_rf_binary No abstract provided Cyprinus_carpio_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Cyprinus_carpio_rf_prob No abstract provided Cyprinus_carpio_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:DRAINAGE_BASIN_DE No abstract provided opendata features NGBD inland water DRAINAGE_BASIN_DE EPSG:4258 CRS:84 5.8660053061258495 15.041457806926502 47.27035839961979 55.0991702915292 other other other other text/xml other other geonode:DRB DRB features EPSG:4258 CRS:84 8.15275300900004 29.855803796 42.0819222010001 50.2450522840001 other other text/xml other other other other geonode:DemnitzMillCreekTopography WCS GeoTIFF DemnitzMillCreekTopography EPSG:25833 CRS:84 14.145873507503584 14.340480339423593 52.32609681134281 52.46964434441473 text/xml other other other other other other geonode:Dennis_R__Paulson_Odonata_Collection Dennis_R._Paulson_Odonata_Collection features EPSG:4326 CRS:84 -147.87 155.75 -43.2533 64.86 other other text/xml other other other other geonode:Distribution_Atlas_of_European_Trichoptera_ge Distribution_Atlas_of_European_Trichoptera_genera features EPSG:4326 CRS:84 -31.225243 132.682 11.49726 74.47523 other other text/xml other other other other geonode:EPTO_Global_EPTO_Database features EPTO_Global_EPTO_Database EPSG:4326 CRS:84 -179.993743896484 179.755458 -54.877227 89.9999999992 other other text/xml other other other other geonode:EPTO_from_Brazilian_Atlantic_Forest_streams EPTO_from_Brazilian_Atlantic_Forest_streams features EPSG:4326 CRS:84 -48.67378058 -47.398559 -24.376 -23.82311 other other text/xml other other other other geonode:EPTO_from_CABIN_Canadian_Aquatic_Biomonitorin features EPTO_from_CABIN_Canadian_Aquatic_Biomonitoring_Network EPSG:4326 CRS:84 -172.71667 -53.805556 16.12603 70.3 other other text/xml other other other other geonode:EPTO_from_Central_Plateau_North_Island_New_Ze EPTO_from_Central_Plateau_North_Island_New_Zealand features EPSG:4326 CRS:84 175.355394847573 176.531573879812 -40.0115071206025 -39.0199782681097 other other text/xml other other other other geonode:EPTO_from_Hubei_province_China EPTO_from_Hubei_province_China features EPSG:4326 CRS:84 110.7373333333 116.1921333333 32.47255 40.3630333333 other other text/xml other other other other geonode:EPTO_from_Sweden EPTO_from_Sweden features EPSG:4326 CRS:84 11.1381534208313 24.050732259447 55.3401464958259 68.360913446942 other other text/xml other other other other geonode:EPTO_from_Western_Finnish_streams_and_rivers EPTO_from_Western_Finnish_streams_and_rivers features EPSG:4326 CRS:84 21.4872405384041 27.9717171402622 60.409681432473 65.1169398128338 other other text/xml other other other other geonode:EPTO_genera_of_France features EPTO_genera_of_France EPSG:4326 CRS:84 -4.52 9.49 41.66 50.91 other other text/xml other other other other geonode:EPTO_in_Chinese_streams EPTO_in_Chinese_streams features EPSG:4326 CRS:84 99.4022777777778 117.7515 25.460583 40.3630333333333 other other text/xml other other other other geonode:EPTO_of_Nigeria_conservation_areas EPTO_of_Nigeria_conservation_areas features EPSG:4326 CRS:84 4.8371 8.9113 5.948 8.3852 other other text/xml other other other other geonode:EPTO_of_northwestern_Spain features EPTO_of_northwestern_Spain EPSG:4326 CRS:84 -6.85055555555556 -1.156 40.2172222222222 43.0455555555556 other other text/xml other other other other geonode:EPTO_of_the_RIVPACS_dataset EPTO_of_the_RIVPACS_dataset features EPSG:4326 CRS:84 -8.09088 1.36 50.0 60.804 other other text/xml other other other other geonode:EPTO_taxa_from_Victoria_Australia EPTO_taxa_from_Victoria_Australia features EPSG:4326 CRS:84 141.24267578125 149.691040039062 -39.1130828857421 -36.0191764831543 other other text/xml other other other other geonode:EPT_Altai EPT_Altai features EPSG:4326 CRS:84 67.41 89.61 49.88 61.95 other other text/xml other other other other geonode:EPT_Ecuador features EPT_Ecuador EPSG:4326 CRS:84 -78.78233 -76.14602 -2.243183333 0.32495 other other text/xml other other other other geonode:EPT_from_Finland EPT_from_Finland features EPSG:4326 CRS:84 20.68225069557 31.4413069783263 60.1152849150526 70.0746414692999 other other text/xml other other other other geonode:EPT_from_Mondego_river_Portugal EPT_from_Mondego_river_Portugal features EPSG:4326 CRS:84 -8.74 -7.3 39.88 40.71 other other text/xml other other other other geonode:EPT_of_Mato_Grosso_do_Sul EPT_of_Mato_Grosso_do_Sul features EPSG:4326 CRS:84 -56.68243 -56.45012 -20.69611 -20.4102 other other text/xml other other other other geonode:Eastern_Amazon_EPTO Eastern_Amazon_EPTO features EPSG:4326 CRS:84 -55.06805556 -46.74707 -3.80123 -1.596722 other other text/xml other other other other geonode:Ephemeroptera_Global_EPTO_Database Ephemeroptera_Global_EPTO_Database features EPSG:4326 CRS:84 -165.51414 177.987671 -54.78806 71.2685999994271 other other text/xml other other other other geonode:Ephemeroptera_Trichoptera_and_Odonata_from_Qi Ephemeroptera_Trichoptera_and_Odonata_from_Qiandao_Lake_tributaries_China features EPSG:4326 CRS:84 118.7274607 119.2364958 29.37642895 29.78445875 other other text/xml other other other other geonode:Ephemeroptera_Trichoptera_and_Odonata_of_Cuba Ephemeroptera_Trichoptera_and_Odonata_of_Cuba features EPSG:4326 CRS:84 -84.95 -74.15 19.92 23.15 other other text/xml other other other other geonode:Ephemeroptera_from_GBIF_1960_2021 Ephemeroptera_from_GBIF_1960_2021 features EPSG:4326 CRS:84 -161.5738 177.987671 -46.894675 71.2685999994271 other other text/xml other other other other geonode:Esox_lucius_ No abstract provided features Esox_lucius_ EPSG:4326 CRS:84 8.545833333 29.67083333 42.5875 49.69583333 other other other other text/xml other other geonode:F162C175_Demarcacion No abstract provided features F162C175_Demarcacion EPSG:25830 CRS:84 -2.5255166089690153 0.5313974796680032 38.10247982290079 40.80822850331961 other other other other text/xml other other geonode:FRED_samplingsites_import FRED - IGB Freshwater Research and Environmental Database List of sampling sites (as of 8th Sept. 2020) features EPSG:4326 CRS:84 -74.2565994262695 41.8018493652344 41.8634872436523 59.6699256896973 other text/xml other other other other other other text/xml other other other other geonode:Freshwater_insects_CONUS_Freshwater_insect_oc features EPSG:4326 CRS:84 -124.4634 -67.2406 29.04298 48.97 other other text/xml other other other other geonode:GLANCE_GeoNode_SamplingData The dataset presented here contains information on the rivers sampled in the GLANCE project. Study areas were the Kinzig River catchment, characterized by a moderate gradient, fine-coarse sediment, surface runoff and interflow, the Ammer catchment, dominated by gravel and stone substrates with steep gradients, and the Treene River catchment, with a small gradient, sand-gravel sediment, and groundwater-driven conditions, which are located in the central lower mountainous region, alpine region and northern lowlands of Germany, respectively. The samples were taken from microhabitats defined by a combination of flow velocity and substrate type. Five samples per microhabitat were taken. Additional information on the biological data collected during the sampling in spring and summer 2015 can be found on FRED. GLANCE_GeoNode_SamplingData features EPSG:25832 CRS:84 8.961187896280878 11.388129251229975 47.64637150921936 54.67397629442705 other text/xml other other other other other other text/xml other other other other geonode:Gasterosteus_aculeatus_ No abstract provided features Gasterosteus_aculeatus_ EPSG:4326 CRS:84 8.4625 29.62083333 43.72083333 49.27916667 other other other other text/xml other other geonode:Gasterosteus_aculeatus_rf_binary No abstract provided Gasterosteus_aculeatus_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Gasterosteus_aculeatus_rf_prob No abstract provided Gasterosteus_aculeatus_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:GlobalBiodivPatterns_basin_HydroSHED2008 No abstract provided GlobalBiodivPatterns_basin_HydroSHED2008 features EPSG:4326 CRS:84 -165.16667175293 178.891677856445 -54.7000007629395 76.0416717529297 other text/xml other other other other other other text/xml other other other other geonode:Gobio_gobio_ No abstract provided features Gobio_gobio_ EPSG:4326 CRS:84 8.420833333 27.82083333 42.5875 49.72083333 other other other other text/xml other other geonode:Gobio_gobio_rf_binary No abstract provided Gobio_gobio_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Gobio_gobio_rf_prob No abstract provided Gobio_gobio_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:GuineoCongolian_spdata No abstract provided features GuineoCongolian_spdata EPSG:4326 CRS:84 -13.194912 30.906888 -10.618459 13.03 other other other other other text/xml other geonode:GuineoCongolian_spdata0 No abstract provided features GuineoCongolian_spdata EPSG:4326 CRS:84 -13.194912 30.906888 -10.618459 13.03 other other other other text/xml other other geonode:Gymnocephalus_baloni_ No abstract provided features Gymnocephalus_baloni_ EPSG:4326 CRS:84 11.17083333 28.92916667 43.62916667 48.90416667 other other other other text/xml other other geonode:Gymnocephalus_baloni_rf_binary No abstract provided Gymnocephalus_baloni_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Gymnocephalus_baloni_rf_prob No abstract provided Gymnocephalus_baloni_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Gymnocephalus_cernua_ No abstract provided features Gymnocephalus_cernua_ EPSG:4326 CRS:84 10.47916667 28.9125 42.9125 49.4625 other other other other text/xml other other geonode:Gymnocephalus_cernua_rf_binary No abstract provided Gymnocephalus_cernua_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Gymnocephalus_cernua_rf_prob No abstract provided Gymnocephalus_cernua_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Gymnocephalus_schraetser_ No abstract provided features Gymnocephalus_schraetser_ EPSG:4326 CRS:84 11.84583333 28.9125 43.62916667 48.97083333 other other other other text/xml other other geonode:Gymnocephalus_schraetser_rf_binary No abstract provided Gymnocephalus_schraetser_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Gymnocephalus_schraetser_rf_prob No abstract provided Gymnocephalus_schraetser_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:HW_final_Alzette HW_final_Alzette features EPSG:2169 CRS:84 5.982994304840585 6.169321993090254 49.496200459197404 49.84837352475823 other other text/xml other other other other geonode:Hucho_hucho_ No abstract provided features Hucho_hucho_ EPSG:4326 CRS:84 9.679166667 25.50416667 42.57083333 49.12083333 other other other other text/xml other other geonode:Hucho_hucho_rf_binary No abstract provided Hucho_hucho_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Hucho_hucho_rf_prob No abstract provided Hucho_hucho_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Hybas_lev08_all_merged features Hybas_lev08_all_merged EPSG:4326 CRS:84 -180.0 180.00064290364585 -55.98749999999998 83.62564277648944 other other other other text/xml other other geonode:HydroLakes_polys_v10 features HydroLakes_polys_v10 EPSG:4326 CRS:84 -179.9999999999999 179.99999999999903 -55.86513888888899 83.57595062255876 other other other other text/xml other other geonode:HydroRIVERS_v10_eu features HydroRIVERS_v10_eu EPSG:4326 CRS:84 -24.4729166666667 69.5166666666652 12.6020833333333 81.7895833333322 other other other other text/xml other other geonode:HydroRIVERS_v10_eu_UPLAND_SKM_larger_50 features River EPSG:4326 CRS:84 -23.3729166666667 69.5020833333319 12.6020833333333 81.1520833333323 other other text/xml other other other other geonode:Hypophthalmichthys_molitrix_ No abstract provided features Hypophthalmichthys_molitrix_ EPSG:4326 CRS:84 16.62083333 29.1125 43.34583333 48.92083333 other other other other text/xml other other geonode:Hypophthalmichthys_molitrix_rf_binary No abstract provided Hypophthalmichthys_molitrix_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Hypophthalmichthys_molitrix_rf_prob No abstract provided Hypophthalmichthys_molitrix_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Hypophthalmichthys_nobilis_rf_binary No abstract provided Hypophthalmichthys_nobilis_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Hypophthalmichthys_nobilis_rf_prob No abstract provided Hypophthalmichthys_nobilis_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:IGB_home_locations IGB_home_locations features EPSG:4326 CRS:84 13.6474530660377 13.6476530660377 52.448688816823896 52.4488888168239 other other text/xml other other other other geonode:IberArtro_TRICHOPTERA IberArtro_TRICHOPTERA features EPSG:4326 CRS:84 -17.79 3.99 28.04 43.63 other other text/xml other other other other geonode:Intersection_lake_78 Intersection_lake_78 EPSG:4326 CRS:84 -69.91375 -68.7120833333333 -16.5620833333333 -15.3279166666667 other other text/xml other other other other geonode:KI_01_final A Leica Totalstation was used to survey points across the river bed and the banks, including the surveying of the macroinvertebrate sampling locations. During the survey, it was made sure to cover breakpoints and break lines (such as bank bottom and top, islands), bed irregularities (such as large stones, dead wood debris, sudden changes in bed level) and for the other areas to obtain an evenly distributed point density. The point clouds obtained from the survey were interpolated with QGIS to regular grids in 5 cm resolution considering the break lines. These represent a realistic description of the bathymetry and are the most important input data for hydraulic modelling. The data were sampled during the first measuring campaign in spring 2015. You can find the following data: RiverReach_Bathymetry.shp - Measuring points RiverReach.tiff - interpolated grid data on the river reaches KI_01_final GeoTIFF WCS EPSG:25832 CRS:84 9.099486887478852 9.10135826081873 50.18642343770482 50.18695100191928 other text/xml other other other other other other text/xml other other other other geonode:KI_02_final A Leica Totalstation was used to survey points across the river bed and the banks, including the surveying of the macroinvertebrate sampling locations. During the survey, it was made sure to cover breakpoints and break lines (such as bank bottom and top, islands), bed irregularities (such as large stones, dead wood debris, sudden changes in bed level) and for the other areas to obtain an evenly distributed point density. The point clouds obtained from the survey were interpolated with QGIS to regular grids in 5 cm resolution considering the break lines. These represent a realistic description of the bathymetry and are the most important input data for hydraulic modelling. The data were sampled during the first measuring campaign in spring 2015. You can find the following data: RiverReach_Bathymetry.shp - Measuring points RiverReach.tiff - interpolated grid data on the river reaches GeoTIFF WCS KI_02_final EPSG:25832 CRS:84 8.96463547408174 8.965939528797568 50.131984878885795 50.13238012245127 other text/xml other other other other other other text/xml other other other other geonode:Kinzig_O3_Bathymetry A Leica Totalstation was used to survey points across the river bed and the banks, including the surveying of the macroinvertebrate sampling locations. During the survey, it was made sure to cover breakpoints and break lines (such as bank bottom and top, islands), bed irregularities (such as large stones, dead wood debris, sudden changes in bed level) and for the other areas to obtain an evenly distributed point density. The point clouds obtained from the survey were interpolated with QGIS to regular grids in 5 cm resolution considering the break lines. These represent a realistic description of the bathymetry and are the most important input data for hydraulic modelling. The data were sampled during the first measuring campaign in spring 2015. You can find the following data: RiverReach_Bathymetry.shp - Measuring points RiverReach.tiff - interpolated grid data on the river reaches Kinzig_O3_Bathymetry features EPSG:25832 CRS:84 9.099291912019176 9.101358722258198 50.18642016566626 50.18695258074047 other text/xml other other other other other other text/xml other other other other geonode:Kinzig_W1_Bathymetry A Leica Totalstation was used to survey points across the river bed and the banks, including the surveying of the macroinvertebrate sampling locations. During the survey, it was made sure to cover breakpoints and break lines (such as bank bottom and top, islands), bed irregularities (such as large stones, dead wood debris, sudden changes in bed level) and for the other areas to obtain an evenly distributed point density. The point clouds obtained from the survey were interpolated with QGIS to regular grids in 5 cm resolution considering the break lines. These represent a realistic description of the bathymetry and are the most important input data for hydraulic modelling. The data were sampled during the first measuring campaign in spring 2015. You can find the following data: RiverReach_Bathymetry.shp - Measuring points RiverReach.tiff - interpolated grid data on the river reaches Kinzig_W1_Bathymetry features EPSG:25832 CRS:84 8.964635117832023 8.965939706063564 50.13198351617125 50.13238413217567 other text/xml other other other other other other text/xml other other other other geonode:LakeLab No abstract provided LakeLab features EPSG:4326 CRS:84 13.0280675888062 13.0280685424805 53.1432914733887 53.1432952880859 other text/xml other other other other other other text/xml other other other other geonode:Lampetra_planeri_ No abstract provided features Lampetra_planeri_ EPSG:4326 CRS:84 8.479166667 15.50416667 46.7625 49.40416667 other other other other text/xml other other geonode:Lampetra_planeri_rf_binary No abstract provided Lampetra_planeri_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Lampetra_planeri_rf_prob No abstract provided Lampetra_planeri_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Lepomis_gibbosus_ No abstract provided Lepomis_gibbosus_ features EPSG:4326 CRS:84 10.30416667 29.62083333 42.5625 49.77916667 other other other other text/xml other other geonode:Lepomis_gibbosus_rf_binary No abstract provided Lepomis_gibbosus_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Lepomis_gibbosus_rf_prob No abstract provided Lepomis_gibbosus_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Leucaspius_delineatus_ No abstract provided features Leucaspius_delineatus_ EPSG:4326 CRS:84 9.404166667 29.62083333 43.59583333 49.2625 other other other other text/xml other other geonode:Leucaspius_delineatus_rf_binary No abstract provided Leucaspius_delineatus_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Leucaspius_delineatus_rf_prob No abstract provided Leucaspius_delineatus_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Leuciscus_aspius_rf_binary No abstract provided Leuciscus_aspius_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Leuciscus_aspius_rf_prob No abstract provided Leuciscus_aspius_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Leuciscus_idus_ No abstract provided features Leuciscus_idus_ EPSG:4326 CRS:84 10.0375 28.94583333 42.9125 49.79583333 other other other other text/xml other other geonode:Leuciscus_idus_rf_binary No abstract provided Leuciscus_idus_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Leuciscus_idus_rf_prob No abstract provided Leuciscus_idus_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Leuciscus_leuciscus_ No abstract provided features Leuciscus_leuciscus_ EPSG:4326 CRS:84 8.345833333 23.30416667 42.9125 49.6875 other other other other text/xml other other geonode:Leuciscus_leuciscus_rf_binary No abstract provided Leuciscus_leuciscus_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Leuciscus_leuciscus_rf_prob No abstract provided Leuciscus_leuciscus_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Lota_lota_ No abstract provided features Lota_lota_ EPSG:4326 CRS:84 9.804166667 28.20416667 42.54583333 49.6875 other other other other text/xml other other geonode:Lota_lota_rf_binary No abstract provided Lota_lota_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Lota_lota_rf_prob No abstract provided Lota_lota_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Macro_MED Macro_MED features EPSG:4326 CRS:84 -71.78 35.83 -36.03 44.87 other other text/xml other other other other geonode:Macroinvertebrates_from_Cisnes_and_Aysen_catc features Macroinvertebrates_from_Cisnes_and_Aysen_catchments_Chile EPSG:4326 CRS:84 -72.787 -71.411394893115 -45.6671246244179 -42.2579154968262 other other text/xml other other other other geonode:Macroinvertebrates_of_North_Central_Nigeria Macroinvertebrates_of_North_Central_Nigeria features EPSG:4326 CRS:84 5.481931 9.34975 9.0003 9.830515 other other text/xml other other other other geonode:Macroinvertebrates_of_Southern_Nigeria__Niger Macroinvertebrates_of_Southern_Nigeria__Niger_Delta_region_ features EPSG:4326 CRS:84 5.579166667 6.711 5.438 7.118 other other text/xml other other other other geonode:Mayflies_of_South_America features Mayflies_of_South_America EPSG:4326 CRS:84 -110.9 -34.85104 -54.78806 29.1 other other text/xml other other other other geonode:Misgurnus_fossilis_ No abstract provided features Misgurnus_fossilis_ EPSG:4326 CRS:84 9.629166667 29.62083333 43.57083333 49.2375 other other other other text/xml other other geonode:Misgurnus_fossilis_rf_binary No abstract provided Misgurnus_fossilis_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Misgurnus_fossilis_rf_prob No abstract provided Misgurnus_fossilis_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Mongolian_Aquatic_Insect_Survey__MAIS_ Mongolian_Aquatic_Insect_Survey__MAIS_ features EPSG:4326 CRS:84 87.94228 112.55703 46.09992 50.78323 other other text/xml other other other other geonode:NA_fish_bivariate_volume_functional_distictness WCS NA_fish_bivariate_volume_functional_distictness GeoTIFF EPSG:4326 CRS:84 -145.0 -52.0 5.0 60.0 other other other other text/xml other other geonode:NA_fish_functional_distictness_factor WCS GeoTIFF NA_fish_functional_distictness_factor EPSG:4326 CRS:84 -145.0 -52.0 5.0 60.0 other other other other text/xml other other geonode:NA_fish_functional_diversity WCS NA_fish_functional_diversity GeoTIFF EPSG:4326 CRS:84 -137.941666667 -52.675000000210034 15.041666666601664 60.0 other other text/xml other other other other geonode:NA_fish_functional_rarity_factor NA_fish_functional_rarity_factor WCS GeoTIFF EPSG:4326 CRS:84 -145.0 -52.0 5.0 60.0 other other other other text/xml other other geonode:NA_fish_hydrographic_network WCS NA_fish_hydrographic_network GeoTIFF EPSG:4326 CRS:84 -145.0 -52.0 25.0 60.0 other other other other text/xml other other geonode:NA_fish_insets NA_fish_insets features EPSG:4326 CRS:84 -113.0 -86.5 29.45 35.0 other other other other text/xml other other geonode:NA_fish_range_size_grids_vs_volume_residuals WCS NA_fish_range_size_grids_vs_volume_residuals GeoTIFF EPSG:4326 CRS:84 -145.0 -52.0 5.0 60.0 other other other other text/xml other other geonode:NA_fish_range_size_volume NA_fish_range_size_volume WCS GeoTIFF EPSG:4326 CRS:84 -145.0 -52.0 5.0 60.0 other other other other text/xml other other geonode:NA_fish_species_diversity WCS NA_fish_species_diversity GeoTIFF EPSG:4326 CRS:84 -145.000000001 -51.99999999908009 4.999999998864574 60.0 other other other other text/xml other other geonode:NA_fish_top_10_range_size_funct_distinctness NA_fish_top_10_range_size_funct_distinctness WCS GeoTIFF EPSG:4326 CRS:84 -144.999999999667 -51.99999999892586 4.999999999942183 60.0000000003805 other other other other text/xml other other geonode:NUTS_RG_01M_2021_4326_level0 The GISCO statistical unit dataset represents the NUTS (Nomenclature of territorial units for statistics) and Statistical regions by means of multipart polygon, polyline and point topology. The NUTS geographical information is completed by attribute tables and a set of cartographic help lines to better visualize multipart polygonal regions. Here the NUTS 0 level dataset represents national boundaries. Administrative units Countries features EPSG:4326 CRS:84 -63.151187 55.835779 -21.388846 80.834023 other other text/xml other other other other geonode:NaturalEarthData_Lakes_10m No abstract provided features NaturalEarthData_Lakes_10m EPSG:4326 CRS:84 -165.96558168829336 177.1543791606897 -50.66966651748362 81.95520786930868 other other other other text/xml other other geonode:NaturalEarthData_Rivers_10m No abstract provided features NaturalEarthData_Rivers_10m EPSG:4326 CRS:84 -164.9034912109375 177.5203567006342 -52.157745050005886 75.79347565311912 other other other other text/xml other other geonode:Norwegian_biomonitoring_data__NIVA_ Norwegian_biomonitoring_data__NIVA_ features EPSG:4326 CRS:84 7.3291747098 18.9070377 59.4456604179 69.02752992 other other text/xml other other other other geonode:Odonata_Database_of_Africa Odonata_Database_of_Africa features EPSG:4326 CRS:84 -24.9686766 55.8454170227051 -34.68871595 36.99233 other other text/xml other other other other geonode:Odonata_from_GBIF_1960_2021 Odonata_from_GBIF_1960_2021 features EPSG:4326 CRS:84 -179.993743896484 179.755458 -54.877227 71.16156 other other text/xml other other other other geonode:Odonata_from_the_Atlas_of_Living_Australia_19 Odonata_from_the_Atlas_of_Living_Australia_1951_2021 features EPSG:4326 CRS:84 -91.6700623 159.0631967783 -43.4982382880791 89.9999999992 other other text/xml other other other other geonode:Odonata_of_Aoos_basin_in_Greece Odonata_of_Aoos_basin_in_Greece features EPSG:4326 CRS:84 20.592151 21.103546 39.814292 40.141668 other other text/xml other other other other geonode:Odonata_of_Australia Odonata_of_Australia features EPSG:4326 CRS:84 113.6575 153.626 -43.5011 -9.3811 other other text/xml other other other other geonode:Odonata_of_South_America features Odonata_of_South_America EPSG:4326 CRS:84 -57.83 -55.56 -22.17 -20.41 other other text/xml other other other other geonode:Odonata_of_the_East_Maranhao_state features Odonata_of_the_East_Maranhao_state EPSG:4326 CRS:84 -43.874 -43.755 -4.502 -4.463 other other text/xml other other other other geonode:Oncorhynchus_mykiss_ No abstract provided features Oncorhynchus_mykiss_ EPSG:4326 CRS:84 8.879166667 26.5875 42.57083333 49.47083333 other other other other text/xml other other geonode:Oncorhynchus_mykiss_rf_binary No abstract provided Oncorhynchus_mykiss_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Oncorhynchus_mykiss_rf_prob No abstract provided Oncorhynchus_mykiss_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Pelecus_cultratus_ No abstract provided features Pelecus_cultratus_ EPSG:4326 CRS:84 16.7375 28.94583333 43.94583333 48.7625 other other other other text/xml other other geonode:Pelecus_cultratus_rf_binary No abstract provided Pelecus_cultratus_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Pelecus_cultratus_rf_prob No abstract provided Pelecus_cultratus_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Perca_fluviatilis_ No abstract provided features Perca_fluviatilis_ EPSG:4326 CRS:84 8.529166667 29.67083333 42.37083333 49.87916667 other other other other text/xml other other geonode:Perca_fluviatilis_rf_binary No abstract provided Perca_fluviatilis_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Perca_fluviatilis_rf_prob No abstract provided Perca_fluviatilis_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Phoxinus_phoxinus_ No abstract provided features Phoxinus_phoxinus_ EPSG:4326 CRS:84 8.595833333 27.05416667 42.19583333 49.6625 other other other other text/xml other other geonode:Phoxinus_phoxinus_rf_binary No abstract provided Phoxinus_phoxinus_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Phoxinus_phoxinus_rf_prob No abstract provided Phoxinus_phoxinus_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:PlasticRiverInputs Keine Zusammenfassung vorhanden PlasticRiverInputs features EPSG:4326 CRS:84 -137.9375 179.879180908203 -55.6208343505859 60.4125022888184 other text/xml other other other other other other text/xml other other other other geonode:Plecoptera_Global_EPTO_Database Plecoptera_Global_EPTO_Database features EPSG:4326 CRS:84 -173.00755 177.987671 -50.489057 71.2788199994273 other other text/xml other other other other geonode:Plecoptera_from_GBIF_1960_2021 Plecoptera_from_GBIF_1960_2021 features EPSG:4326 CRS:84 -173.00755 177.987671 -50.489057 71.2788199994273 other other text/xml other other other other geonode:Poyang_Lake_Region_Macroinvertebrates Poyang_Lake_Region_Macroinvertebrates features EPSG:4326 CRS:84 117.37406 117.780841 29.605819 29.994012 other other text/xml other other other other geonode:Projected_changes_in_habitat_suitability_for_alien_species_Karun_River_Basin_Iran_SSP126_Current No abstract provided Projected_changes_in_habitat_suitability_for_alien_species_Karun_River_Basin_Iran_SSP126_Current WCS GeoTIFF EPSG:4326 CRS:84 48.03333333333333 52.00333333333333 29.9475 34.123333333333335 other other other other text/xml other other geonode:Projected_changes_in_habitat_suitability_for_alien_species_Karun_River_Basin_Iran_SSP585_Current No abstract provided GeoTIFF habitat Projected_changes_in_habitat_suitability_for_alien_species_Karun_River_Basin_Iran_SSP585_Current WCS River EPSG:4326 CRS:84 48.03333333333333 52.00333333333333 29.9475 34.123333333333335 other other other text/xml other other other geonode:Projected_changes_in_habitat_suitability_for_endemic_species_Karun_River_Basin_Iran_SSP126_Current No abstract provided River GeoTIFF Projected_changes_in_habitat_suitability_for_endemic_species_Karun_River_Basin_Iran_SSP126_Current habitat WCS EPSG:4326 CRS:84 48.03333333333333 52.00333333333333 29.9475 34.123333333333335 other other other other text/xml other other geonode:Projected_changes_in_habitat_suitability_for_endemic_species_Karun_River_Basin_Iran_SSP585_Current No abstract provided GeoTIFF habitat Projected_changes_in_habitat_suitability_for_endemic_species_Karun_River_Basin_Iran_SSP585_Current WCS River EPSG:4326 CRS:84 48.03333333333333 52.00333333333333 29.9475 34.123333333333335 other other other other text/xml other other geonode:Projected_changes_in_habitat_suitability_for_native_species_Karun_River_Basin_Iran_SSP126_Current No abstract provided GeoTIFF habitat Projected_changes_in_habitat_suitability_for_native_species_Karun_River_Basin_Iran_SSP126_Current River WCS EPSG:3857 CRS:84 47.98828124999999 52.03124999999999 29.840643899834415 34.16181816123038 other text/xml other other other other other geonode:Projected_changes_in_habitat_suitability_for_native_species_Karun_River_Basin_Iran_SSP585_Current No abstract provided Projected_changes_in_habitat_suitability_for_native_species_Karun_River_Basin_Iran_SSP585_Current WCS GeoTIFF EPSG:4326 CRS:84 48.03333333333333 52.00333333333333 29.9475 34.123333333333335 other other text/xml other other other other geonode:Pseudorasbora_parva_ No abstract provided features Pseudorasbora_parva_ EPSG:4326 CRS:84 9.345833333 29.62083333 42.62916667 49.62083333 other other other other text/xml other other geonode:Pseudorasbora_parva_rf_binary No abstract provided Pseudorasbora_parva_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Pseudorasbora_parva_rf_prob No abstract provided Pseudorasbora_parva_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Regional_EPTO_Data_from_NAU_Insect_Taxonomy_a features Regional_EPTO_Data_from_NAU_Insect_Taxonomy_and_Aquatic_Insect_lab EPSG:4326 CRS:84 86.22106 120.33455 21.23354 48.76785 other other text/xml other other other other geonode:Regional_seas_around_Europe_Difference_Hydro90 No abstract provided features Regional_seas_around_Europe_Difference_Hydro90m_basins_4326 EPSG:4326 CRS:84 -41.33688942438341 68.61612084196798 24.569105047014 84.14852475361916 other other other text/xml other other other geonode:River features River EPSG:3035 CRS:84 8.305661582005543 30.418247668072123 42.2296670871854 49.0847029197706 other other text/xml other other other other geonode:Rutilus_pigus_ No abstract provided features Rutilus_pigus_ EPSG:4326 CRS:84 12.70416667 22.27916667 44.5875 48.77083333 other other other other text/xml other other geonode:Rutilus_pigus_rf_binary No abstract provided Rutilus_pigus_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Rutilus_rutilus_ No abstract provided features Rutilus_rutilus_ EPSG:4326 CRS:84 8.879166667 29.67083333 42.45416667 49.72083333 other other other other text/xml other other geonode:Rutilus_rutilus_rf_binary No abstract provided Rutilus_rutilus_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Rutilus_rutilus_rf_prob No abstract provided Rutilus_rutilus_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Salmo_trutta_rf_binary No abstract provided Salmo_trutta_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Salmo_trutta_rf_prob No abstract provided Salmo_trutta_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Salvelinus_alpinus_ No abstract provided Salvelinus_alpinus_ features EPSG:4326 CRS:84 10.22916667 19.60416667 42.89583333 47.6875 other other other other text/xml other other geonode:Salvelinus_alpinus_rf_binary No abstract provided Salvelinus_alpinus_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Salvelinus_alpinus_rf_prob No abstract provided Salvelinus_alpinus_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Salvelinus_fontinalis_ No abstract provided features Salvelinus_fontinalis_ EPSG:4326 CRS:84 9.9375 24.40416667 46.44583333 49.62083333 other other other other text/xml other other geonode:Salvelinus_fontinalis_rf_binary No abstract provided Salvelinus_fontinalis_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Salvelinus_fontinalis_rf_prob No abstract provided Salvelinus_fontinalis_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Salvelinus_namaycush_ No abstract provided features Salvelinus_namaycush_ EPSG:4326 CRS:84 9.745833333 25.4375 46.40416667 47.50416667 other other other other text/xml other other geonode:Salvelinus_namaycush_rf_binary No abstract provided Salvelinus_namaycush_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Salvelinus_namaycush_rf_prob No abstract provided Salvelinus_namaycush_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:SamplingSites_Qmeas The data on the water quality were sampled during spring (campaign1) and summer (campaign2) 2015. You can find the following data: 1. SamplingSites_Q.shp - Measuring points 2. GLANCE_sampledata_Geonode.xlsx – table “Water quality data” SamplingSites_Qmeas features EPSG:25832 CRS:84 8.96153970682994 11.388841078596704 47.647592010561766 54.673473139740175 other text/xml other other other other other other text/xml other other other other geonode:Sander_lucioperca_ No abstract provided features Sander_lucioperca_ EPSG:4326 CRS:84 8.729166667 29.60416667 42.7125 49.80416667 other other other other text/xml other other geonode:Sander_lucioperca_rf_binary No abstract provided Sander_lucioperca_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Sander_lucioperca_rf_prob No abstract provided Sander_lucioperca_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Sander_volgensis_ No abstract provided features Sander_volgensis_ EPSG:4326 CRS:84 12.42916667 28.8625 43.97916667 48.7625 other other other other text/xml other other geonode:Sander_volgensis_rf_binary No abstract provided Sander_volgensis_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Sander_volgensis_rf_prob No abstract provided Sander_volgensis_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Scardinius_erythrophthalmus_ No abstract provided features Scardinius_erythrophthalmus_ EPSG:4326 CRS:84 8.879166667 29.67083333 42.9125 49.77083333 other other other other text/xml other other geonode:Scardinius_erythrophthalmus_rf_binary No abstract provided Scardinius_erythrophthalmus_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Scardinius_erythrophthalmus_rf_prob No abstract provided Scardinius_erythrophthalmus_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Silurus_glanis_ No abstract provided features Silurus_glanis_ EPSG:4326 CRS:84 9.6125 29.65416667 42.45416667 49.80416667 other other other other text/xml other other geonode:Silurus_glanis_rf_binary No abstract provided Silurus_glanis_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Silurus_glanis_rf_prob No abstract provided Silurus_glanis_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Spree_all_data_sampling_sites Spree_all_data_sampling_sites features EPSG:4326 CRS:84 13.204348 14.649536 51.004421 52.83 other other other other text/xml other other geonode:Squalius_cephalus_ No abstract provided features Squalius_cephalus_ EPSG:4326 CRS:84 8.370833333 28.1875 42.39583333 49.8625 other other other other text/xml other other geonode:Squalius_cephalus_rf_binary No abstract provided Squalius_cephalus_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Squalius_cephalus_rf_prob No abstract provided Squalius_cephalus_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Stoll_IDES_Harmonisation_Danube Stoll_IDES_Harmonisation_Danube features EPSG:3035 CRS:84 8.447035965916786 30.500939773891403 42.230617987838095 49.08675194762483 other other text/xml other other other other geonode:Stream_invertebrates_from_New_Zealand_Astorga features Stream_invertebrates_from_New_Zealand_Astorga_et_al._2014 EPSG:4326 CRS:84 167.384350961788 177.161847845164 -46.1227547167598 -35.1908946161776 other other text/xml other other other other geonode:Stream_network features Stream_network EPSG:4326 CRS:84 -81.2874999997224 -59.3124999999999 -12.0458333336111 12.3958333330556 other other other other text/xml other other geonode:Substrates_Ammer_Reach1_Campaign1 The substrate data were sampled during spring (campaign1) and summer (campaign2) 2015. You can find the following data: 1. Substrates_RiverReach_Campaign 1 or 2 – mapping of the sampled data 2. GLANCE_sampledata_Geonode.xlsx – table “GeoNode - FRED data” column “Substrate”; table “Subtrate_Type” definition on the substrate types features Substrates_Ammer_Reach1_Campaign1 EPSG:25832 CRS:84 11.055506250199794 11.056768562861702 47.777714685812356 47.77824498164457 other text/xml other other other other other other text/xml other other other other geonode:Substrates_Ammer_Reach2_Campaign1 The substrate data were sampled during spring (campaign1) and summer (campaign2) 2015. You can find the following data: 1. Substrates_RiverReach_Campaign 1 or 2 – mapping of the sampled data 2. GLANCE_sampledata_Geonode.xlsx – table “GeoNode - FRED data” column “Substrate”; table “Subtrate_Type” definition on the substrate types features Substrates_Ammer_Reach2_Campaign1 EPSG:25832 CRS:84 10.99984172625651 11.000972757612658 47.64722093732782 47.64869643949105 other text/xml other other other other other other text/xml other other other other geonode:Substrates_Ammer_Reach2_Campaign2 The substrate data were sampled during spring (campaign1) and summer (campaign2) 2015. You can find the following data: 1. Substrates_RiverReach_Campaign 1 or 2 – mapping of the sampled data 2. GLANCE_sampledata_Geonode.xlsx – table “GeoNode - FRED data” column “Substrate”; table “Subtrate_Type” definition on the substrate types features Substrates_Ammer_Reach2_Campaign2 EPSG:25832 CRS:84 10.99984172625651 11.000972757612658 47.64722093732782 47.64869643949105 other text/xml other other other other other other text/xml other other other other geonode:Substrates_Kinzig_Reach1_Campaign1 The substrate data were sampled during spring (campaign1) and summer (campaign2) 2015. You can find the following data: 1. Substrates_RiverReach_Campaign 1 or 2 – mapping of the sampled data 2. GLANCE_sampledata_Geonode.xlsx – table “GeoNode - FRED data” column “Substrate”; table “Subtrate_Type” definition on the substrate types features Substrates_Kinzig_Reach1_Campaign1 EPSG:25832 CRS:84 9.099534903535854 9.101291709509733 50.18644270845196 50.18693438534483 other text/xml other other other other other other text/xml other other other other geonode:Substrates_Kinzig_Reach1_Campaign2 The substrate data were sampled during spring (campaign1) and summer (campaign2) 2015. You can find the following data: 1. Substrates_RiverReach_Campaign 1 or 2 – mapping of the sampled data 2. GLANCE_sampledata_Geonode.xlsx – table “GeoNode - FRED data” column “Substrate”; table “Subtrate_Type” definition on the substrate types Substrates_Kinzig_Reach1_Campaign2 features EPSG:25832 CRS:84 9.099534903535854 9.101291709509733 50.18644270845196 50.18693438534483 other text/xml other other other other other other text/xml other other other other geonode:Substrates_Kinzig_Reach2_Campaign1 The substrate data were sampled during spring (campaign1) and summer (campaign2) 2015. You can find the following data: 1. Substrates_RiverReach_Campaign 1 or 2 – mapping of the sampled data 2. GLANCE_sampledata_Geonode.xlsx – table “GeoNode - FRED data” column “Substrate”; table “Subtrate_Type” definition on the substrate types features Substrates_Kinzig_Reach2_Campaign1 EPSG:25832 CRS:84 8.964620698668549 8.966076559671716 50.13198800869961 50.13237068146506 other text/xml other other other other other other text/xml other other other other geonode:Substrates_Kinzig_Reach2_Campaign2 The substrate data were sampled during spring (campaign1) and summer (campaign2) 2015. You can find the following data: 1. Substrates_RiverReach_Campaign 1 or 2 – mapping of the sampled data 2. GLANCE_sampledata_Geonode.xlsx – table “GeoNode - FRED data” column “Substrate”; table “Subtrate_Type” definition on the substrate types features Substrates_Kinzig_Reach2_Campaign2 EPSG:25832 CRS:84 8.964620698668549 8.966076559671716 50.13198800869961 50.13237068146506 other text/xml other other other other other other text/xml other other other other geonode:Substrates_Treene_Reach1_Campaign1 The substrate data were sampled during spring (campaign1) and summer (campaign2) 2015. You can find the following data: 1. Substrates_RiverReach_Campaign 1 or 2 – mapping of the sampled data 2. GLANCE_sampledata_Geonode.xlsx – table “GeoNode - FRED data” column “Substrate”; table “Subtrate_Type” definition on the substrate types Substrates_Treene_Reach1_Campaign1 features EPSG:25832 CRS:84 9.418825906063162 9.420463933770863 54.67259251423361 54.67327216298637 other text/xml other other other other other other text/xml other other other other geonode:Substrates_Treene_Reach2_Campaign1 The substrate data were sampled during spring (campaign1) and summer (campaign2) 2015. You can find the following data: 1. Substrates_RiverReach_Campaign 1 or 2 – mapping of the sampled data 2. GLANCE_sampledata_Geonode.xlsx – table “GeoNode - FRED data” column “Substrate”; table “Subtrate_Type” definition on the substrate types Substrates_Treene_Reach2_Campaign1 features EPSG:25832 CRS:84 9.42257156201099 9.424387176205453 54.67191830818271 54.672989534377805 other text/xml other other other other other other text/xml other other other other geonode:Swedish_EPTO_data_host_lakes_and_watercourse Swedish_EPTO_data_host_lakes_and_watercourse features EPSG:4326 CRS:84 11.217 23.914 55.3504180908203 68.96 other other text/xml other other other other geonode:TR_01_final A Leica Totalstation was used to survey points across the river bed and the banks, including the surveying of the macroinvertebrate sampling locations. During the survey, it was made sure to cover breakpoints and break lines (such as bank bottom and top, islands), bed irregularities (such as large stones, dead wood debris, sudden changes in bed level) and for the other areas to obtain an evenly distributed point density. The point clouds obtained from the survey were interpolated with QGIS to regular grids in 5 cm resolution considering the break lines. These represent a realistic description of the bathymetry and are the most important input data for hydraulic modelling. The data were sampled during the first measuring campaign in spring 2015. You can find the following data: RiverReach_Bathymetry.shp - Measuring points RiverReach.tiff - interpolated grid data on the river reaches GeoTIFF TR_01_final WCS EPSG:25832 CRS:84 9.418800105980417 9.420438608992486 54.672584541454206 54.67328011520948 other text/xml other other other other other other text/xml other other other other geonode:TR_02_final A Leica Totalstation was used to survey points across the river bed and the banks, including the surveying of the macroinvertebrate sampling locations. During the survey, it was made sure to cover breakpoints and break lines (such as bank bottom and top, islands), bed irregularities (such as large stones, dead wood debris, sudden changes in bed level) and for the other areas to obtain an evenly distributed point density. The point clouds obtained from the survey were interpolated with QGIS to regular grids in 5 cm resolution considering the break lines. These represent a realistic description of the bathymetry and are the most important input data for hydraulic modelling. The data were sampled during the first measuring campaign in spring 2015. You can find the following data: RiverReach_Bathymetry.shp - Measuring points RiverReach.tiff - interpolated grid data on the river reaches TR_02_final GeoTIFF WCS EPSG:25832 CRS:84 9.422535289160413 9.424115926604651 54.671921073689084 54.672761615324816 other text/xml other other other other other other text/xml other other other other geonode:Telestes_souffia_ No abstract provided features Telestes_souffia_ EPSG:4326 CRS:84 9.8125 24.3375 42.57083333 48.72916667 other other other other text/xml other other geonode:Telestes_souffia_rf_binary No abstract provided Telestes_souffia_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Telestes_souffia_rf_prob No abstract provided Telestes_souffia_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Thymallus_thymallus_ No abstract provided features Thymallus_thymallus_ EPSG:4326 CRS:84 8.545833333 26.3125 42.57083333 49.9625 other other other other text/xml other other geonode:Thymallus_thymallus_rf_binary No abstract provided Thymallus_thymallus_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Thymallus_thymallus_rf_prob No abstract provided Thymallus_thymallus_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Tinca_tinca_ No abstract provided features Tinca_tinca_ EPSG:4326 CRS:84 8.545833333 29.57083333 42.70416667 49.64583333 other other other other text/xml other other geonode:Tinca_tinca_rf_binary No abstract provided Tinca_tinca_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Tinca_tinca_rf_prob No abstract provided Tinca_tinca_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Treene_Bathymetry0 A Leica Totalstation was used to survey points across the river bed and the banks, including the surveying of the macroinvertebrate sampling locations. During the survey, it was made sure to cover breakpoints and break lines (such as bank bottom and top, islands), bed irregularities (such as large stones, dead wood debris, sudden changes in bed level) and for the other areas to obtain an evenly distributed point density. The point clouds obtained from the survey were interpolated with QGIS to regular grids in 5 cm resolution considering the break lines. These represent a realistic description of the bathymetry and are the most important input data for hydraulic modelling. The data were sampled during the first measuring campaign in spring 2015. You can find the following data: RiverReach_Bathymetry.shp - Measuring points RiverReach.tiff - interpolated grid data on the river reaches Treene_Bathymetry features EPSG:25832 CRS:84 9.417616239513256 9.424470082491831 54.67190005990663 54.67342908754814 other text/xml other other other other other other text/xml other other other other geonode:Trichoptera_from_GBIF_1960_2021 Trichoptera_from_GBIF_1960_2021 features EPSG:4326 CRS:84 -173.00755 177.987671 -46.911728 71.281772 other other text/xml other other other other geonode:Umbra_krameri_ No abstract provided features Umbra_krameri_ EPSG:4326 CRS:84 14.4375 26.27916667 44.17083333 49.20416667 other other other other text/xml other other geonode:Umbra_krameri_rf_binary No abstract provided Umbra_krameri_rf_binary WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Umbra_krameri_rf_prob No abstract provided Umbra_krameri_rf_prob WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:Vimba_vimba_ No abstract provided features Vimba_vimba_ EPSG:4326 CRS:84 11.1625 28.65416667 42.9875 49.45416667 other other other other text/xml other other geonode:WDPA_WDOECM_COL_shp_polygons WDPA_WDOECM_COL_shp_polygons features EPSG:4326 CRS:84 -82.1025 -67.819077079 -3.82234600499993 13.4029969440001 other other other other other text/xml other geonode:ZOBODAT features ZOBODAT EPSG:4326 CRS:84 -9.46194 51.25 26.17 70.42 other other text/xml other other other other geonode:Zingel_streber_ No abstract provided features Zingel_streber_ EPSG:4326 CRS:84 9.629166667 29.57083333 42.9125 48.90416667 other other other other text/xml other other geonode:Zingel_zingel_ No abstract provided features Zingel_zingel_ EPSG:4326 CRS:84 13.0125 29.2625 42.9125 48.82916667 other other other other text/xml other other geonode:Zingel_zingel_0 No abstract provided features Zingel_zingel_ EPSG:4326 CRS:84 13.0125 29.2625 42.9125 48.82916667 other other other other text/xml other other geonode:a__12lake_surface No abstract provided features _12lake_surface EPSG:4326 CRS:84 17.8230338 18.6672045 52.287 52.6934536 other other other other other text/xml other geonode:amazonas No abstract provided features amazonas EPSG:4326 CRS:84 -79.60833333305555 -55.30833333305555 -12.050000000277779 5.26666666638889 other other other other text/xml other other geonode:amber_atlas_original features amber_atlas_original EPSG:4326 CRS:84 -21.816322 34.04735 27.77193 71.100255 geonode:amber_atlas_original0 features amber_atlas_original EPSG:4326 CRS:84 -21.816322 34.04735 27.77193 71.100255 geonode:amber_atlas_snapped amber_atlas_snapped barriers features dams River EPSG:4326 CRS:84 -21.816322 34.04735 27.77208333333333 71.10049416666666 other other other other text/xml other other geonode:basin_lake_78_coord_1310 WCS basin_lake_78_coord_1310 GeoTIFF EPSG:4326 CRS:84 -70.3825 -69.44416666666666 -17.139166 -15.836666 other other text/xml other other other other geonode:basin_lake_78_coord_2259 basin_lake_78_coord_2259 GeoTIFF EPSG:4326 CRS:84 -68.713334 -68.06250066666666 -17.061666666666667 -16.1675 other other text/xml other other other other geonode:basin_lake_78_coord_2418_outlet basin_lake_78_coord_2418_outlet GeoTIFF EPSG:4326 CRS:84 -71.118334 -68.063334 -17.139166 -14.056666 other other text/xml other other other other geonode:basin_lake_78_coord_477 GeoTIFF basin_lake_78_coord_477 EPSG:4326 CRS:84 -71.018334 -69.860834 -15.919166666666667 -15.115 other other text/xml other other other other geonode:basin_lake_78_coord_662 basin_lake_78_coord_662 GeoTIFF WCS EPSG:4326 CRS:84 -69.158334 -69.14833399999999 -15.7025 -15.6925 other other text/xml other other other other geonode:basin_lake_78_coord_666 GeoTIFF basin_lake_78_coord_666 EPSG:4326 CRS:84 -69.566667 -69.00916699999999 -15.720832666666666 -14.609166 other other text/xml other other other other geonode:basins_40 No abstract provided WCS GeoTIFF basins_40 EPSG:3035 CRS:84 18.221030470765363 26.396374630735234 35.23984603518776 42.71548789887702 other text/xml other other other other other other text/xml other other other other geonode:basins_5 No abstract provided basins_5 GeoTIFF WCS EPSG:3035 CRS:84 18.221030470765363 26.396374630735234 35.23984603518776 42.71548789887702 other text/xml other other other other other other text/xml other other other other geonode:bezirke_EPSG32633 Keine Zusammenfassung vorhanden bezirke_EPSG32633 features EPSG:32633 CRS:84 13.077451730214456 13.76386677830168 52.33056876817423 52.67866303616707 other text/xml other other other other other other text/xml other other other other geonode:biofreshcu_23_04_2021 biofreshcu_23_04_2021 features EPSG:4326 CRS:84 -84.953144 -74.15 19.840778 23.159893 other other text/xml other other other other geonode:caribic No abstract provided features caribic EPSG:4326 CRS:84 -74.42499999972222 -61.74999999972222 7.249999999722222 12.433333333055556 other other other other text/xml other other geonode:catchment_outline catchment_outline features EPSG:25833 CRS:84 14.162609980455743 14.311198121467672 52.33669835938957 52.460042018032595 other other text/xml other other other other geonode:catchments_of_german_surface_water_bodies Wasserrahmenrichtlinie Water bodies Gewässerkörper Water Framework Directive EPSG:25832 CRS:84 5.576329632379413 15.550206486112335 47.14120602732507 54.927086640096114 other other text/xml other other other other geonode:cluster_Brahmani_BG_clustering No abstract provided cluster_Brahmani_BG_clustering WCS GeoTIFF EPSG:4326 CRS:84 83.88333333333334 86.7675 20.49416666666667 23.6075 text/xml other other other other other other geonode:cluster_Brahmani_BO_clustering No abstract provided cluster_Brahmani_BO_clustering WCS GeoTIFF EPSG:4326 CRS:84 83.88333333333334 86.7675 20.49416666666667 23.6075 other other other other other other text/xml geonode:cluster_Brahmani_GG_clustering No abstract provided cluster_Brahmani_GG_clustering WCS GeoTIFF EPSG:4326 CRS:84 83.88333333333334 86.7675 20.49416666666667 23.6075 other other other other text/xml other other geonode:cluster_DeGrey_BG_clustering No abstract provided cluster_DeGrey_BG_clustering WCS GeoTIFF EPSG:4326 CRS:84 118.9025 121.89 -23.15833333333333 -19.973333333333333 other other other other other other text/xml geonode:cluster_DeGrey_BO_clustering No abstract provided cluster_DeGrey_BO_clustering WCS GeoTIFF EPSG:4326 CRS:84 118.9025 121.89 -23.15833333333333 -19.973333333333333 text/xml other other other other other other geonode:cluster_DeGrey_GG_clustering No abstract provided cluster_DeGrey_GG_clustering WCS GeoTIFF EPSG:4326 CRS:84 118.9025 121.89 -23.15833333333333 -19.973333333333333 other other other other text/xml other other geonode:cluster_Paraguacu_BG_clustering No abstract provided cluster_Paraguacu_BG_clustering WCS GeoTIFF EPSG:4326 CRS:84 -42.04083333333333 -38.91 -13.605 -11.275 other other other other text/xml other other geonode:cluster_Paraguacu_BO_clustering No abstract provided cluster_Paraguacu_BO_clustering WCS GeoTIFF EPSG:4326 CRS:84 -42.04083333333333 -38.91 -13.605 -11.275 other other other other text/xml other other geonode:cluster_Paraguacu_GG_clustering No abstract provided cluster_Paraguacu_GG_clustering WCS GeoTIFF EPSG:4326 CRS:84 -42.04083333333333 -38.91 -13.605 -11.275 other other other other text/xml other other geonode:cluster_Po_BG_clustering No abstract provided cluster_Po_BG_clustering WCS GeoTIFF EPSG:4326 CRS:84 6.549166666666666 12.3675 43.99666666666667 46.6325 other other other other text/xml other other geonode:cluster_Po_BO_clustering No abstract provided cluster_Po_BO_clustering WCS GeoTIFF EPSG:4326 CRS:84 6.549166666666666 12.3675 43.99666666666667 46.6325 other other other other text/xml other other geonode:cluster_Po_GG_clustering No abstract provided cluster_Po_GG_clustering WCS GeoTIFF EPSG:4326 CRS:84 6.549166666666666 12.3675 43.99666666666667 46.6325 text/xml other other other other other other geonode:cluster_Sacramento_BG_clustering No abstract provided cluster_Sacramento_BG_clustering WCS GeoTIFF EPSG:4326 CRS:84 -123.0975 -119.9825 38.1075 42.4325 other other other other text/xml other other geonode:cluster_Sacramento_BO_clustering No abstract provided cluster_Sacramento_BO_clustering WCS GeoTIFF EPSG:4326 CRS:84 -123.0975 -119.9825 38.1075 42.4325 other other other text/xml other other other geonode:cluster_Sacramento_GG_clustering No abstract provided cluster_Sacramento_GG_clustering WCS GeoTIFF EPSG:4326 CRS:84 -123.0975 -119.9825 38.1075 42.4325 other other other other text/xml other other geonode:cluster_Tana_BG_clustering No abstract provided cluster_Tana_BG_clustering WCS GeoTIFF EPSG:4326 CRS:84 36.58083333333334 40.64083333333333 -3.0324999999999998 0.485 other other other other text/xml other other geonode:cluster_Tana_BO_clustering No abstract provided cluster_Tana_BO_clustering WCS GeoTIFF EPSG:4326 CRS:84 36.58083333333334 40.64083333333333 -3.0324999999999998 0.485 other other other other text/xml other other geonode:cluster_Tana_GG_clustering No abstract provided cluster_Tana_GG_clustering WCS GeoTIFF EPSG:4326 CRS:84 36.58083333333334 40.64083333333333 -3.0324999999999998 0.485 other other other other text/xml other other geonode:cog_Barbus_barbus_Danube No abstract provided cog_Barbus_barbus_Danube WCS GeoTIFF EPSG:4326 CRS:84 8.1525 29.735833333055556 42.083333333055556 50.245 other other other other text/xml other other geonode:colored_hillshade No abstract provided colored_hillshade GeoTIFF WCS EPSG:4326 CRS:84 116.45250000000476 118.20250000000479 -35.13083333333527 -33.79083333333524 other text/xml other other other other other other text/xml other other other other geonode:danube4all_fish_occurrence_records features danube4all_fish_occurrence_records_v2 EPSG:4326 CRS:84 8.279166667 29.72083333 42.4625 49.97916667 other other other other text/xml other other geonode:danube4all_fish_occurrence_records_v01 features Danube occurrence fish danube4all_fish_occurrence_records danube4all EPSG:4326 CRS:84 8.279166667 29.72083333 42.4625 49.97916667 other other other other text/xml other other geonode:danube4all_models_rf_prob SDM fish danube4all Danube danube4all_models_rf_prob GeoTIFF WCS EPSG:4326 CRS:84 8.0 30.000000000000014 41.99999999999999 51.0 other other other other text/xml other other geonode:dckoninpoland features dckoninpoland EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 other other other other text/xml other other geonode:elv_bid96 No abstract provided elv_bid96 GeoTIFF WCS EPSG:4326 CRS:84 116.45250000000476 118.20250000000479 -35.13083333333527 -33.79083333333524 other text/xml other other other other other other text/xml other other other other geonode:ephemeroptera_ngen_raster ephemeroptera_ngen_raster WCS ImageMosaic EPSG:4326 CRS:84 -180.0 191.0 -60.0 85.0 other other text/xml other other other other geonode:ephemeroptera_nobs_raster ephemeroptera_nobs_raster WCS ImageMosaic EPSG:4326 CRS:84 -180.0 191.0 -60.0 85.0 other other text/xml other other other other geonode:eu_hydro_river_net_line_oder No abstract provided eu_hydro_river_net_line_oder ocean water body River hydrology land drainage features landscape alteration catchment area hydrographic network canal drainage system environment inland water catchment EPSG:4326 CRS:84 13.389108129083656 19.67878569290402 49.41402937504842 54.56936460723078 other other other other text/xml other other geonode:eu_hydro_river_net_line_oder0 eu_hydro_river_net_line_oder features EPSG:4326 CRS:84 13.389108129083656 19.67878569290402 49.41402937504842 54.56936460723078 other other other other text/xml other other geonode:eu_hydro_river_net_polygon_oder No abstract provided ocean water body River land drainage features landscape alteration catchment area eu_hydro_river_net_polygon_oder hydrographic network canal drainage system hydrology environment inland water catchment EPSG:4326 CRS:84 13.732602368078702 19.20345191405971 49.83320040512997 54.186970688187245 other other other other text/xml other other geonode:fish_SSP2_2070_richness_map_bin_dist_CO GeoTIFF WCS fish_SSP2_2070_richness_map_bin_dist_CO EPSG:4326 CRS:84 -81.291666667 -59.341666667 -12.049999999999997 12.433333333 other other other other text/xml other other geonode:fish_SSP2_2070_richness_map_bin_dist_endemic fish_SSP2_2070_richness_map_bin_dist_endemic GeoTIFF WCS EPSG:4326 CRS:84 -81.291666667 -59.341666667 -12.049999999999997 12.433333333 other other other other text/xml other other geonode:fish_SSP5_2070_richness_map_bin_dist_CO fish_SSP5_2070_richness_map_bin_dist_CO GeoTIFF WCS EPSG:4326 CRS:84 -81.291666667 -59.341666667 -12.049999999999997 12.433333333 other other other other text/xml other other geonode:fish_SSP5_2070_richness_map_bin_dist_endemic fish_SSP5_2070_richness_map_bin_dist_endemic GeoTIFF WCS EPSG:4326 CRS:84 -81.291666667 -59.341666667 -12.049999999999997 12.433333333 other other other other text/xml other other geonode:fish_change_SSP2_2070_CO fish_change_SSP2_2070_CO GeoTIFF WCS EPSG:4326 CRS:84 -81.291666667 -59.341666667 -12.049999999999997 12.433333333 other other other other text/xml other other geonode:fish_change_SSP2_2070_endemic fish_change_SSP2_2070_endemic WCS GeoTIFF EPSG:4326 CRS:84 -81.291666667 -59.341666667 -12.049999999999997 12.433333333 other other other other text/xml other other geonode:fish_change_SSP2_2070_endemic0 GeoTIFF fish_change_SSP2_2070_endemic WCS EPSG:4326 CRS:84 -81.291666667 -59.341666667 -12.049999999999997 12.433333333 other other other other text/xml other other geonode:fish_change_SSP5_2070_CO fish_change_SSP5_2070_CO GeoTIFF WCS EPSG:4326 CRS:84 -81.291666667 -59.341666667 -12.049999999999997 12.433333333 other other other other text/xml other other geonode:fish_change_SSP5_2070_endemic fish_change_SSP5_2070_endemic GeoTIFF WCS EPSG:4326 CRS:84 -81.291666667 -59.341666667 -12.049999999999997 12.433333333 other other other other text/xml other other geonode:fish_present_richness_map_bin_dist_CO fish_present_richness_map_bin_dist_CO GeoTIFF WCS EPSG:4326 CRS:84 -81.291666667 -59.341666667 -12.049999999999997 12.433333333 other other other other text/xml other other geonode:fish_present_richness_map_bin_dist_endemic GeoTIFF fish_present_richness_map_bin_dist_endemic WCS EPSG:4326 CRS:84 -81.291666667 -59.341666667 -12.049999999999997 12.433333333 other other other other text/xml other other geonode:flow_variables_elbe features flow_variables_elbe EPSG:4326 CRS:84 9.562386512756348 16.82344627380371 48.48341369628906 53.85325241088867 other other other other text/xml other other geonode:gadm36_COL_00 gadm36_COL_0 features EPSG:4326 CRS:84 -81.84152985 -66.87033081 -4.22842884 15.91247463 other other other other text/xml other other geonode:gbif_continental_regions No abstract provided EPSG:4326 CRS:84 -180.0 180.00284588065534 -90.0 90.0 other other other other text/xml other other geonode:gbif_continents global continents GBIF features EPSG:4326 CRS:84 -180.0 180.00000562 -90.0 90.0 other other text/xml other other other other geonode:global_database_on_biological_field_stations The Global Database on Biological Field Stations contains information on 1269 contemporary stations, their research domain, location, year of establishment, and affiliates. Tydecks, L., Bremerich, V., Jentschke, I., Likens, G. E., & Tockner, K. (2016). Biological field stations: a global infrastructure for research, education, and public engagement. BioScience, 66(2), 164-171. (https://academic.oup.com/bioscience/article/66/2/164/2468674) features terrestrial monitoring freshwater research marine EPSG:4326 CRS:84 -170.280014038086 178.522125244141 -90.0 83.1000061035156 other text/xml other other other other other other text/xml other other other other geonode:global_epto_db_density_of_sites_rd001_px002 global_epto_db_density_of_sites_rd001_px002 WCS GeoTIFF EPSG:4326 CRS:84 -180.003743896484 179.79625610351601 -54.914770000000004 74.48523 other other other other text/xml other other geonode:global_epto_db_density_of_sites_rd002_px005 WCS global_epto_db_density_of_sites_rd002_px005 GeoTIFF EPSG:4326 CRS:84 -180.01374389648402 179.836256103516 -54.954770000000025 74.49522999999999 other other other other text/xml other other geonode:global_epto_db_density_of_sites_rd005_px008 global_epto_db_density_of_sites_rd005_px008 WCS GeoTIFF EPSG:4326 CRS:84 -180.04374389648402 179.95625610351598 -55.07477 74.52523 other other other other text/xml other other geonode:global_epto_db_density_of_sites_rd01_px01 WCS global_epto_db_density_of_sites_rd01_px01 GeoTIFF EPSG:4326 CRS:84 -180.093743896484 180.00625610351602 -55.12477000000003 74.57522999999999 other other other other text/xml other other geonode:global_epto_db_heatmap_rad002_pix005 GeoTIFF global_epto_db_heatmap_rad002_pix005 WCS EPSG:4326 CRS:84 -180.013743896 179.83625610400003 -54.95477000000001 74.49523 other other text/xml other other other other geonode:global_epto_db_heatmap_rad005_pix008 global_epto_db_heatmap_rad005_pix008 GeoTIFF WCS EPSG:4326 CRS:84 -180.043743896 179.956256104 -55.07477 74.52523 other other text/xml other other other other geonode:global_epto_db_heatmap_rad01_pix01 WCS global_epto_db_heatmap_rad01_pix01 GeoTIFF EPSG:4326 CRS:84 -180.093743896 180.00625610400002 -55.124769999999984 74.57523 other other other other text/xml other other geonode:global_epto_db_sites features global_epto_db_sites EPSG:4326 CRS:84 -179.993743896484 179.755458 -54.877227 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geonode:hybas_eu_lev08_v1c image/png geonode:hydro90m_basins_combined_v3_4326_1perc No abstract provided features hydro90m_basins_combined_v3_4326_1perc EPSG:4326 CRS:84 -31.26666666666666 46.28499999999999 27.638288324857307 71.18494215312482 other other other other text/xml other other geonode:hydrography90m_v1_accumulation_cog hydrography90m_v1_accumulation_cog GeoTIFF WCS EPSG:4326 CRS:84 -180.0 191.0000000000005 -60.0000000000002 85.0 other other text/xml other other other other geonode:hydrography90m_v1_channel_curv_cel_cog WCS hydrography90m_v1_channel_curv_cel_cog GeoTIFF EPSG:4326 CRS:84 -180.0 191.00000000000085 -60.00000000000034 85.0 other other other other text/xml other other geonode:hydrography90m_v1_channel_dist_dw_seg_cog GeoTIFF WCS hydrography90m_v1_channel_dist_dw_seg_cog EPSG:4326 CRS:84 -180.0 191.00000000000085 -60.00000000000034 85.0 other other text/xml other other other other geonode:hydrography90m_v1_channel_grad_up_seg_cog GeoTIFF WCS hydrography90m_v1_channel_grad_up_seg_cog EPSG:4326 CRS:84 -180.0 191.00000000000085 -60.00000000000034 85.0 other other text/xml other other other other geonode:hydrography90m_v1_cti_cog GeoTIFF WCS hydrography90m_v1_cti_cog EPSG:4326 CRS:84 -180.0 191.0000000000005 -60.0000000000002 85.0 other other text/xml other other other other geonode:hydrography90m_v1_direction_cog No abstract provided hydrography90m_v1_direction_cog GeoTIFF WCS EPSG:4326 CRS:84 -180.0 191.0000000000005 -60.0000000000002 85.0 other other text/xml other other other other geonode:hydrography90m_v1_outlet_diff_dw_basin_cog hydrography90m_v1_outlet_diff_dw_basin_cog GeoTIFF WCS EPSG:4326 CRS:84 -180.0 191.00000000000085 -60.00000000000034 85.0 other other text/xml other other other other geonode:hydrography90m_v1_outlet_diff_dw_scatch_cog GeoTIFF hydrography90m_v1_outlet_diff_dw_scatch_cog WCS EPSG:4326 CRS:84 -180.0 191.00000000000085 -60.00000000000034 85.0 other other text/xml other other other other geonode:hydrography90m_v1_outlet_dist_dw_basin_cog hydrography90m_v1_outlet_dist_dw_basin_cog GeoTIFF WCS EPSG:4326 CRS:84 -180.0 191.00000000000085 -60.00000000000034 85.0 other other text/xml other other other other geonode:hydrography90m_v1_regional_unit_cog No abstract provided GeoTIFF hydrography90m_v1_regional_unit_cog WCS EPSG:4326 CRS:84 -180.0 191.00000000000045 -60.00000000000017 84.0 other other text/xml other other other other geonode:hydrography90m_v1_segment_cog hydrography90m_v1_segment_cog WCS GeoTIFF EPSG:4326 CRS:84 -180.0 191.0000000000005 -60.0000000000002 85.0 other other other other text/xml other other geonode:hydrography90m_v1_slope_elv_dw_cel_cog GeoTIFF hydrography90m_v1_slope_elv_dw_cel_cog WCS EPSG:4326 CRS:84 -180.0 191.00000000000085 -60.00000000000034 85.0 other other text/xml other other other other geonode:hydrography90m_v1_spi_cog hydrography90m_v1_spi_cog GeoTIFF WCS EPSG:4326 CRS:84 -180.0 191.0000000000005 -60.0000000000002 85.0 other other text/xml other other other other geonode:hydrography90m_v1_sti_cog GeoTIFF WCS hydrography90m_v1_sti_cog EPSG:4326 CRS:84 -180.0 191.0000000000005 -60.0000000000002 85.0 other other text/xml other other other other geonode:hydrography90m_v1_stream_diff_up_farth_cog hydrography90m_v1_stream_diff_up_farth_cog GeoTIFF WCS EPSG:4326 CRS:84 -180.0 191.00000000000085 -60.00000000000034 85.0 other other text/xml other other other other geonode:hydrography90m_v1_stream_dist_dw_near_cog WCS hydrography90m_v1_stream_dist_dw_near_cog GeoTIFF EPSG:4326 CRS:84 -180.0 191.00000000000085 -60.00000000000034 85.0 other other other other other text/xml other geonode:hydrography90m_v1_stream_dist_proximity_cog hydrography90m_v1_stream_dist_proximity_cog GeoTIFF WCS EPSG:4326 CRS:84 -180.0 191.00000000000085 -60.00000000000034 85.0 other other text/xml other other other other geonode:hydrography90m_v1_stream_order_strahler_cog No abstract provided hydrography90m_v1_stream_order_strahler_cog GeoTIFF WCS EPSG:4326 CRS:84 -180.0 191.00000000000085 -60.00000000000034 85.0 other other text/xml other other other other geonode:hydrography90m_v1_sub_catchment_cog No abstract provided GeoTIFF hydrography90m_v1_sub_catchment_cog WCS EPSG:4326 CRS:84 -180.0 191.0000000000005 -60.0000000000002 85.0 other other text/xml other other other other geonode:hydrography90m_v1_sub_catchment_geocontext hydrography90m_v1_sub_catchment_cog WCS GeoTIFF EPSG:4326 CRS:84 -180.0 191.0000000000005 -60.0000000000002 85.0 other other other other text/xml other other geonode:lake_coordinates_brandenburg No abstract provided features lake_coordinates_brandenburg EPSG:4326 CRS:84 12.196430781850676 14.610936383016147 51.89654973148236 53.39222393 other other other other text/xml other other geonode:lakes_78_8_1_0_1 GeoTIFF EPSG:4326 CRS:84 -70.04 -68.56583333333393 -16.60333333333278 -15.225 other other text/xml other other other other geonode:landcover_LC_change_SSP2_10_70 No abstract provided landcover_LC_change_SSP2_10_70 WCS GeoTIFF EPSG:4326 CRS:84 -81.28611125957286 -59.344444680672865 -12.049998380864537 12.425001521235469 other other other other other text/xml other geonode:landcover_LC_change_SSP5_10_70 No abstract provided WCS GeoTIFF landcover_LC_change_SSP5_10_70 EPSG:4326 CRS:84 -81.28611125957286 -59.344444680672865 -12.049998380864537 12.425001521235469 other other other other text/xml other other geonode:landcover_change_SSP1_10_70_CO landcover_change_SSP1_10_70_CO GeoTIFF WCS EPSG:4326 CRS:84 -81.28611125957286 -59.344444680672865 -12.049998380864537 12.425001521235469 other other other other text/xml other other geonode:landcover_change_SSP3_10_70_CO GeoTIFF WCS landcover_change_SSP3_10_70_CO EPSG:4326 CRS:84 -81.28611125957286 -59.344444680672865 -12.049998380864537 12.425001521235469 other other other other text/xml other other geonode:landcover_urban_upstream_average_9 No abstract provided landcover_urban_upstream_average_9 GeoTIFF WCS EPSG:4326 CRS:84 -145.0 180.0 -56.0 60.0 other other other other text/xml other other other other other other text/xml other geonode:large_spec_prob_all large_spec_prob_all GeoTIFF WCS EPSG:4326 CRS:84 -81.3 -59.30833333300001 -12.049999999999997 12.433333333 other other other other other other text/xml geonode:large_spec_prob_all0 large_spec_prob_all WCS GeoTIFF EPSG:4326 CRS:84 -81.3 -59.30833333300001 -12.049999999999997 12.433333333 other other other other text/xml other other geonode:magdalena No abstract provided features magdalena EPSG:4326 CRS:84 -76.95833333305555 -72.28333333305555 1.558333333055556 11.074999999722223 other other other other text/xml other other geonode:model_domain No abstract provided features model_domain EPSG:4326 CRS:84 -81.3 -55.308333333 -12.050000000000004 12.433333333036385 other other other other text/xml other other geonode:mspa_78 mspa_78 GeoTIFF EPSG:4326 CRS:84 -70.04 -68.56583333333393 -16.60333333333278 -15.225 other other text/xml other other other other geonode:ne_10m_admin_1_sel No 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geonode:nigeria_macroinvertebrate_occurrences_stream_order_classes No abstract provided EPSG:4326 CRS:84 2.8815 13.92 4.557882 13.03 other other other other other text/xml other geonode:oder_catchment No abstract provided oder_catchment river basin districts inland water Water Framework Directive features planning cadastre EPSG:4326 CRS:84 5.866349000000071 15.04194300000006 47.27011100000004 55.09916800000008 other other other other text/xml other other geonode:oder_network_v2 No abstract provided features oder_network_v2 EPSG:32633 CRS:84 13.528760347869381 19.01060897671346 49.67279545335808 53.56949589556044 other other other other text/xml other other geonode:odonata_ngen_raster WCS odonata_ngen_raster ImageMosaic EPSG:4326 CRS:84 -180.0 191.0 -60.0 85.0 other other text/xml other other other other geonode:odonata_nobs_raster WCS odonata_nobs_raster ImageMosaic EPSG:4326 CRS:84 -180.0 191.0 -60.0 85.0 other other text/xml other other other other geonode:optimized_shapefile2 No abstract provided features optimized_shapefile2 EPSG:4326 CRS:84 -81.69262171599996 -67.41919300999996 -3.875936972999966 13.402996944000051 other other other other text/xml other other geonode:orinoco No abstract provided features orinoco EPSG:4326 CRS:84 -74.93333333305556 -59.83333333305555 1.533333333055555 10.408333333055555 other other other other text/xml other other geonode:pacific No abstract provided features pacific EPSG:4326 CRS:84 -81.29999999972222 -75.86666666638888 -12.050000000277779 8.608333333055555 other other other other text/xml other other geonode:plecoptera_ngen_raster WCS plecoptera_ngen_raster ImageMosaic EPSG:4326 CRS:84 -180.0 191.0 -60.0 85.0 other other text/xml other other other other geonode:plecoptera_nobs_raster WCS ImageMosaic plecoptera_nobs_raster EPSG:4326 CRS:84 -180.0 191.0 -60.0 85.0 other other text/xml other other other other geonode:protect_area features protect_area EPSG:4326 CRS:84 -81.3736088269999 -67.433705828 -3.87593697299997 13.3512076810001 other other other other text/xml other other geonode:protect_bra No abstract provided features protect_bra EPSG:4326 CRS:84 -73.72617536099995 -57.14881051799995 -11.13169682299997 5.271940114000074 other other other other text/xml other other geonode:protect_ecu No abstract provided features protect_ecu EPSG:4326 CRS:84 -81.11690904299996 -75.19782464299993 -4.796782324999981 1.453052229000036 other other other other text/xml other other geonode:protect_per No abstract provided features protect_per EPSG:4326 CRS:84 -81.15159239999997 -68.70392575799997 -17.582347896999977 -0.076512942999955 other other other other text/xml other other geonode:relevant_barriers No abstract provided features relevant_barriers EPSG:4326 CRS:84 4.682373 16.481 44.110163 51.9915 other other other other text/xml other other geonode:sampling_sites_OderSo features sampling_sites_OderSo EPSG:25833 CRS:84 14.103875917362348 14.753053700000105 52.06808897216368 53.74713372579474 other other other other text/xml other other geonode:sampling_sites_OderSo0 No abstract provided features sampling_sites_OderSo EPSG:25833 CRS:84 14.103875917362348 14.753053700000105 52.06808897216368 53.74713372579474 other other other other text/xml other other geonode:sampling_sites_oderso No abstract provided features sampling_sites_oderso EPSG:25833 CRS:84 14.103875917362348 14.757458800000101 52.06530454590203 53.747143409236266 other other other other text/xml other other geonode:sampling_sites_oderso0 No abstract provided features sampling_sites_oderso EPSG:25833 CRS:84 14.103875917362348 14.757458800000101 52.06530454590203 53.747143409236266 other other text/xml other other other other geonode:sol_vec features sol_vec EPSG:4326 CRS:84 -80.2166666666502 -66.2666666664388 -4.89166666676412 12.2333333330027 other other other other other text/xml other geonode:solution <p>The target shows the 30 % conservation target of the spatial prioritization of 1313 Colombian freshwater fish species described in the publication "<em>Protected areas in a neotropical biodiversity hotspot cover freshwater fish distributions only by a fraction</em>" Tomiczek et al. 2025 (in review).</p> cloud_solution WCS GeoTIFF EPSG:4326 CRS:84 -81.3 -55.308333333 -12.050000000000004 15.433333333 other other other other text/xml other other geonode:spec_dat features spec_dat EPSG:4326 CRS:84 -4.52 9.49 41.66 50.91 other other other other text/xml other other geonode:spec_dat2 features spec_dat2 EPSG:4326 CRS:84 -4.52 9.49 41.66 50.91 other other other text/xml other other other geonode:spec_dat3 features spec_dat3 EPSG:4326 CRS:84 -4.52 9.49 41.66 50.91 other other other other other other text/xml geonode:spec_sp features spec_sp EPSG:4326 CRS:84 -80.8 -59.316666 -12.0366666667 12.194583 other other other other text/xml other other 282.0 9244667.0 geonode:species_richn_new GeoTIFF species_richn_new WCS EPSG:4326 CRS:84 -81.3 -59.30833333300001 -12.049999999999997 12.433333333 other other other other other other text/xml geonode:stacked_habitat_suit <p>No abstract provided</p> cloud_stacked_habitat_suit WCS GeoTIFF EPSG:4326 CRS:84 -81.29999999972222 -55.30833333305555 -12.050000000277779 15.433333333055556 other other other other text/xml other other geonode:stacked_habitat_suit_endemic <p>No abstract provided</p> cloud_stacked_habitat_suit_endemic WCS GeoTIFF EPSG:4326 CRS:84 -81.29999999972222 -55.30833333305555 -12.050000000277779 15.433333333055556 other other other other text/xml other other geonode:stacked_habitat_suit_threat <p>No abstract provided</p> cloud_stacked_habitat_suit_threat WCS GeoTIFF EPSG:4326 CRS:84 -81.29999999972222 -55.30833333305555 -12.050000000277779 15.433333333055556 other other other other text/xml other other geonode:stechlin_macrophyte_mapping_20m_isobath No abstract provided features lake stechlin_macrophyte_mapping_20m_isobath EPSG:4326 CRS:84 13.006576041639445 13.041869525124376 53.14126442905324 53.1667512268216 other other other other text/xml other other geonode:stechlin_macrophyte_mapping_coordinates No abstract provided features stechlin_macrophyte_mapping_coordinates EPSG:4326 CRS:84 13.00263273257972 13.041990240344935 53.140047207487626 53.16690336765428 other other other other text/xml other other geonode:stechlin_macrophyte_mapping_deepest_point_69m No abstract provided stechlin_macrophyte_mapping_deepest_point_69m features Stechlin lake EPSG:4326 CRS:84 13.031432473612895 13.031632473612895 53.155478679796474 53.15567867979648 other other other other text/xml other other geonode:stechlin_macrophyte_mapping_transects No abstract provided features stechlin_macrophyte_mapping_transects Stechlin lake EPSG:4326 CRS:84 13.00263273257972 13.041990240344935 53.140047207487626 53.16690336765428 other other other other text/xml other other geonode:stream_0500 stream_0500 GeoTIFF WCS EPSG:4326 CRS:84 -84.95166666666667 -74.13166666666666 19.826666666666668 23.2775 other other other other text/xml other other geonode:stream_78 GeoTIFF stream_78 EPSG:4326 CRS:84 -70.03999999999985 -68.56583333333377 -16.60333333333292 -15.225000000000136 other other other other text/xml other other geonode:stream_network_GRASS_40 No abstract provided stream_network_GRASS_40 GeoTIFF WCS EPSG:3035 CRS:84 18.221030470765363 26.396374630735234 35.23984603518776 42.71548789887702 other other other other text/xml other other other other other other text/xml other geonode:stream_network_GRASS_5 No abstract provided GeoTIFF stream_network_GRASS_5 WCS EPSG:3035 CRS:84 18.221030470765363 26.396374630735234 35.23984603518776 42.71548789887702 other other other other text/xml other other other other other other text/xml other geonode:stream_network_GRASS_90 No abstract provided features stream_network_GRASS_90 EPSG:4326 CRS:84 -81.28749999972221 -55.31249999972222 -12.045833333611112 12.395833333055556 other other other other text/xml other other geonode:stream_r_500 No abstract provided stream_r_500 WCS GeoTIFF EPSG:3857 CRS:84 34.59232751949709 50.084664215760334 15.370877577028145 24.31528138936931 other other other other text/xml other other geonode:study_area0 No abstract provided features study_area EPSG:4326 CRS:84 -81.29166666638888 -66.11666666638888 -5.000000000277779 12.433333333055556 other other other other text/xml other other geonode:study_area_crop features study_area_crop EPSG:4326 CRS:84 -81.60833333 -66.49166667 -4.65833333 12.43333333 other other other text/xml other other other 577792.0 1.47914678E8 geonode:sub_basins_0500 sub_basins_0500 GeoTIFF WCS EPSG:4326 CRS:84 -84.95166666666667 -74.13166666666666 19.826666666666668 23.2775 other other other other text/xml other other geonode:sub_elevation GeoTIFF WCS sub_elevation EPSG:4326 CRS:84 -81.29999999980609 -59.30833333323113 -12.05000000033333 12.433333333000004 other other other other text/xml other other geonode:subbasin_900 Colombia GeoTIFF WCS freshwater EPSG:4326 CRS:84 -81.29999999972222 -59.30833333333333 -12.050000000277779 12.433333333055556 other other other other text/xml other other geonode:test_protect_area features test_protect_area EPSG:4326 CRS:84 -81.3736088269999 -67.433705828 -3.87593697299997 13.3512076810001 other other other other text/xml other other geonode:trichoptera_ngen_raster trichoptera_ngen_raster WCS ImageMosaic EPSG:4326 CRS:84 -180.0 191.0 -60.0 85.0 other other other other text/xml other other geonode:trichoptera_nobs_raster WCS trichoptera_nobs_raster ImageMosaic EPSG:4326 CRS:84 -180.0 191.0 -60.0 85.0 other other other other text/xml other other geonode:upstream_elevation_range Download: http://www.earthenv.org/streams Please see the associated journal article for further information: Domisch, S., Amatulli, G., and Jetz, W. (2015) Near-global freshwater-specific environmental variables for biodiversity analyses in 1 km resolution. Scientific Data 2:150073 doi:10.1038/sdata.2015.73 WCS GeoTIFF upstream_elevation_range EPSG:4326 CRS:84 -145.0 180.0 -56.0 60.0 other other other other text/xml other other other other other other text/xml other geonode:ven_protect_dissolve No abstract provided features ven_protect_dissolve EPSG:4326 CRS:84 -73.37947933 -59.80355105599995 0.64536959700007 15.87104825200004 other other other other text/xml other other geonode:wmobb_basins features Basin EPSG:4326 CRS:84 -179.999999999925 180.000000000089 -55.9875000001997 83.6256427763426 other other other other text/xml other other