My GeoServer WFSThis is a description of your Web Feature Server. The GeoServer is a full transactional Web Feature Server, you may wish to limit GeoServer to a Basic service level to prevent modificaiton of your geographic data.WFS, WMS, GEOSERVERhttps://geo.igb-berlin.de/geoserver/wfsNONENONEgeonode:A_survey_of_Odonata_of_Puerto_RicoA_survey_of_Odonata_of_Puerto_Rico, featuresEPSG:4326geonode:Ammer_Altenau_BathymetryA 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 reachesAmmer_Altenau_Bathymetry, featuresEPSG:25832geonode:Ammer_Peissenberg_BathymetryA 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 reachesfeatures, Ammer_Peissenberg_BathymetryEPSG:25832geonode:Aquatic_Insects_LACIA_INPAAquatic_Insects_LACIA_INPA, featuresEPSG:4326geonode:Aquatic_insects_of_central_GermanyAquatic_insects_of_central_Germany, featuresEPSG:4326geonode:CNTR_BN_01M_2020_4326Administrative units, Countries, featuresEPSG:4326geonode:Caddisflies_of_Southeast_ChinaCaddisflies_of_Southeast_China, featuresEPSG:4326geonode:DRBDRB, featuresEPSG:4258geonode:Dennis_R__Paulson_Odonata_CollectionDennis_R._Paulson_Odonata_Collection, featuresEPSG:4326geonode:Distribution_Atlas_of_European_Trichoptera_geDistribution_Atlas_of_European_Trichoptera_genera, featuresEPSG:4326geonode:EPTO_from_Brazilian_Atlantic_Forest_streamsEPTO_from_Brazilian_Atlantic_Forest_streams, featuresEPSG:4326geonode:EPTO_from_CABIN_Canadian_Aquatic_Biomonitorinfeatures, EPTO_from_CABIN_Canadian_Aquatic_Biomonitoring_NetworkEPSG:4326geonode:EPTO_from_Central_Plateau_North_Island_New_ZeEPTO_from_Central_Plateau_North_Island_New_Zealand, featuresEPSG:4326geonode:EPTO_from_Hubei_province_ChinaEPTO_from_Hubei_province_China, featuresEPSG:4326geonode:EPTO_from_SwedenEPTO_from_Sweden, featuresEPSG:4326geonode:EPTO_from_Western_Finnish_streams_and_riversEPTO_from_Western_Finnish_streams_and_rivers, featuresEPSG:4326geonode:EPTO_genera_of_Francefeatures, EPTO_genera_of_FranceEPSG:4326geonode:EPTO_in_Chinese_streamsEPTO_in_Chinese_streams, featuresEPSG:4326geonode:EPTO_of_Nigeria_conservation_areasEPTO_of_Nigeria_conservation_areas, featuresEPSG:4326geonode:EPTO_of_northwestern_Spainfeatures, EPTO_of_northwestern_SpainEPSG:4326geonode:EPTO_of_the_RIVPACS_datasetEPTO_of_the_RIVPACS_dataset, featuresEPSG:4326geonode:EPTO_taxa_from_Victoria_AustraliaEPTO_taxa_from_Victoria_Australia, featuresEPSG:4326geonode:EPT_AltaiEPT_Altai, featuresEPSG:4326geonode:EPT_Ecuadorfeatures, EPT_EcuadorEPSG:4326geonode:EPT_from_FinlandEPT_from_Finland, featuresEPSG:4326geonode:EPT_from_Mondego_river_PortugalEPT_from_Mondego_river_Portugal, featuresEPSG:4326geonode:EPT_of_Mato_Grosso_do_SulEPT_of_Mato_Grosso_do_Sul, featuresEPSG:4326geonode:Eastern_Amazon_EPTOEastern_Amazon_EPTO, featuresEPSG:4326geonode:Ephemeroptera_Trichoptera_and_Odonata_from_QiEphemeroptera_Trichoptera_and_Odonata_from_Qiandao_Lake_tributaries_China, featuresEPSG:4326geonode:Ephemeroptera_Trichoptera_and_Odonata_of_CubaEphemeroptera_Trichoptera_and_Odonata_of_Cuba, featuresEPSG:4326geonode:Ephemeroptera_from_GBIF_1960_2021Ephemeroptera_from_GBIF_1960_2021, featuresEPSG:4326geonode:GLANCE_GeoNode_SamplingDataThe 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, featuresEPSG:25832geonode:IberArtro_TRICHOPTERAIberArtro_TRICHOPTERA, featuresEPSG:4326geonode:Intersection_lake_78Intersection_lake_78EPSG:4326geonode:Kinzig_O3_BathymetryA 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 reachesKinzig_O3_Bathymetry, featuresEPSG:25832geonode:Macro_MEDMacro_MED, featuresEPSG:4326geonode:nigeria_macroinvertebrate_occurrences_elevation_zonesNo abstract providedEPSG:4326geonode:Macroinvertebrates_from_Cisnes_and_Aysen_catcfeatures, Macroinvertebrates_from_Cisnes_and_Aysen_catchments_ChileEPSG:4326geonode:Macroinvertebrates_of_North_Central_NigeriaMacroinvertebrates_of_North_Central_Nigeria, featuresEPSG:4326geonode:Macroinvertebrates_of_Southern_Nigeria__NigerMacroinvertebrates_of_Southern_Nigeria__Niger_Delta_region_, featuresEPSG:4326geonode:Mayflies_of_South_Americafeatures, Mayflies_of_South_AmericaEPSG:4326geonode:Mongolian_Aquatic_Insect_Survey__MAIS_Mongolian_Aquatic_Insect_Survey__MAIS_, featuresEPSG:4326geonode:Norwegian_biomonitoring_data__NIVA_Norwegian_biomonitoring_data__NIVA_, featuresEPSG:4326geonode:Odonata_Database_of_AfricaOdonata_Database_of_Africa, featuresEPSG:4326geonode:Odonata_from_the_Atlas_of_Living_Australia_19Odonata_from_the_Atlas_of_Living_Australia_1951_2021, featuresEPSG:4326geonode:Odonata_of_Aoos_basin_in_GreeceOdonata_of_Aoos_basin_in_Greece, featuresEPSG:4326geonode:Odonata_of_AustraliaOdonata_of_Australia, featuresEPSG:4326geonode:Odonata_of_South_Americafeatures, Odonata_of_South_AmericaEPSG:4326geonode:Odonata_of_the_East_Maranhao_statefeatures, Odonata_of_the_East_Maranhao_stateEPSG:4326geonode:Plecoptera_Global_EPTO_DatabasePlecoptera_Global_EPTO_Database, featuresEPSG:4326geonode:Plecoptera_from_GBIF_1960_2021Plecoptera_from_GBIF_1960_2021, featuresEPSG:4326geonode:Poyang_Lake_Region_MacroinvertebratesPoyang_Lake_Region_Macroinvertebrates, featuresEPSG:4326geonode:Regional_EPTO_Data_from_NAU_Insect_Taxonomy_afeatures, Regional_EPTO_Data_from_NAU_Insect_Taxonomy_and_Aquatic_Insect_labEPSG:4326geonode:Riverfeatures, RiverEPSG:3035geonode:SamplingSites_QmeasThe 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, featuresEPSG:25832geonode:Stream_invertebrates_from_New_Zealand_Astorgafeatures, Stream_invertebrates_from_New_Zealand_Astorga_et_al._2014EPSG:4326geonode:Stream_networkfeatures, Stream_networkEPSG:4326geonode:Substrates_Ammer_Reach2_Campaign2The 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 typesfeatures, Substrates_Ammer_Reach2_Campaign2EPSG:25832geonode:Substrates_Kinzig_Reach2_Campaign2The 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 typesfeatures, Substrates_Kinzig_Reach2_Campaign2EPSG:25832geonode:Swedish_EPTO_data_host_lakes_and_watercourseSwedish_EPTO_data_host_lakes_and_watercourse, featuresEPSG:4326geonode:Treene_Bathymetry0A 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 reachesTreene_Bathymetry, featuresEPSG:25832geonode:WDPA_WDOECM_COL_shp_polygonsWDPA_WDOECM_COL_shp_polygons, featuresEPSG:4326geonode:amber_atlas_snappedamber_atlas_snapped, barriers, features, dams, RiverEPSG:4326geonode:biofreshcu_23_04_2021biofreshcu_23_04_2021, featuresEPSG:4326geonode:catchment_outlinecatchment_outline, featuresEPSG:25833geonode:gadm36_COL_00gadm36_COL_0, featuresEPSG:4326geonode:gbif_continentsglobal, continents, GBIF, featuresEPSG:4326geonode:global_epto_db_sitesfeatures, global_epto_db_sitesEPSG:4326geonode:global_epto_db_summaryfeatures, global_epto_db_summaryEPSG:4326geonode:ne_110m_geographic_linesfeatures, ne_110m_geographic_linesEPSG:4326geonode:ne_110m_glaciated_areasne_110m_glaciated_areas, featuresEPSG:4326geonode:ne_110m_lakesfeatures, ne_110m_lakesEPSG:4326geonode:ne_50m_lakes_historicfeatures, ne_50m_lakes_historicEPSG:4326geonode:nigeria_macroinvertebrate_occurrences_ept_ordersNo abstract providedEPSG:4326geonode:nigeria_macroinvertebrate_occurrences_stream_order_classesNo abstract providedEPSG:4326geonode:oder_catchmentNo abstract providedoder_catchment, river basin districts, inland water, Water Framework Directive, features, planning cadastreEPSG:4326geonode:protect_areafeatures, protect_areaEPSG:4326geonode:sol_vecfeatures, sol_vecEPSG:4326geonode:spec_spfeatures, spec_spEPSG:4326geonode:study_area_cropfeatures, study_area_cropEPSG:4326geonode:test_protect_areafeatures, test_protect_areaEPSG:4326absabs_2abs_3abs_4acosAddCoveragesAffineAggregateAndAreaarea2AreaGridarrayasinasMultiGeometryatanatan2attributeCountBandMergeBandSelectBarnesSurfacebetweenboundaryboundaryDimensionboundedByBoundsbufferBufferFeatureCollectionbufferWithSegmentsCategorizeceilcentroidclassifyClassifyByRangeClipcollectGeometriesCollection_AverageCollection_BoundsCollection_CountCollection_MaxCollection_MedianCollection_MinCollection_NearestCollection_SumCollection_UniqueConcatenatecontainsContourcontrastconvertconvexHullConvolveCoveragecosCountCoverageClassStatsCropCoveragecrossesdarkendateDifferencedateFormatdateParsedensifydesaturatedifferencedimensiondisjointdisjoint3Ddistancedistance3Ddouble2boolDownloadDownloadAnimationDownloadEstimatorDownloadMapendAngleendPointenvenvelopeEqualAreaEqualIntervalequalsExactequalsExactToleranceequalToexpexteriorRingFeatureFeatureClassStatsfloorFormatDateTimezonegeometrygeometryTypegeomFromWKTgeomLengthGeoPackageGeorectifyCoverageGetFullCoveragegetGeometryNgetIDgetXgetYgetzgrayscalegreaterEqualThangreaterThanGridGroupCandidateSelectionHeatmaphslidIEEEremainderif_then_elseImportinin10in2in3in4in5in6in7in8in9inArrayInclusionFeatureCollectionint2bboolint2ddoubleinteriorPointinteriorRingNInterpolateintersectionIntersectionFeatureCollectionintersectsintersects3DisCachedisClosedisCoverageisEmptyisInstanceOfisLikeisNullisometricisRingisSimpleisValidisWithinDistanceisWithinDistance3DJenksJifflejsonPointerlabelPointlapplylengthlessEqualThanlessThanlightenlistlistMultiplylitemliteratelogLRSGeocodeLRSMeasureLRSSegmentmapGetmaxmax_2max_3max_4MBTilesminmin_2min_3min_4mincircleminimumdiameterminrectanglemixmoduloMultiplyCoveragesNearestNormalizeCoveragenotnotEqualTonownumberFormatnumberFormat2numGeometriesnumInteriorRingnumPointsoctagonalenvelopeoffsetOroverlapsPagedUniqueparameterparseBooleanparseDoubleparseIntparseLongpgNearestpiPointBufferspointNPointStackerPolygonExtractionpolygonizePolyLabellerpowpropertyPropertyExistsQuantileQueryqueryCollectionquerySinglerandomRangeLookupRasterAsPointCollectionRasterZonalStatisticsRasterZonalStatistics2RecodeRectangularCliprelaterelatePatternreprojectReprojectGeometryrescaleToPixelsrintroundround_2roundDoublesaturateScaleCoveragesdo_nnsetCRSshadesimplifysinsizeSnapspinsplitPolygonsqrtStandardDeviationstartAnglestartPointStoreCoveragestrAbbreviatestrCapitalizestrConcatstrDefaultIfBlankstrEndsWithstrEqualsIgnoreCasestrIndexOfstringTemplatestrLastIndexOfstrLengthstrMatchesstrPositionstrReplacestrStartsWithstrStripAccentsstrSubstringstrSubstringStartstrToLowerCasestrToUpperCasestrTrimstrTrim2strURLEncodeStyleCoveragesymDifferencetantinttoDegreestoDirectPositionToEnvelopetoLineStringtoPointtoRadianstouchestoWKTtoXlinkHrefTransformTransparencyFillunionUnionFeatureCollectionUniqueUniqueIntervalVectorToRasterVectorZonalStatisticsverticesVocabwithin