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griddap Subset tabledap Make A Graph wms files Title Summary FGDC ISO 19115 Info Background Info RSS Email Institution Dataset ID
https://data-nautilos-h2020.eu/erddap/tabledap/carbonate_pCO2_niva https://data-nautilos-h2020.eu/erddap/tabledap/carbonate_pCO2_niva.graph https://data-nautilos-h2020.eu/erddap/files/carbonate_pCO2_niva/ NAUTILOS - Carbonate pCO2 - NIVA NAUTILOS - Carbonate pCO2 - NIVA\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\npco2 (ppm)\ntemp (Temperature, degree_Celsius)\n https://data-nautilos-h2020.eu/erddap/info/carbonate_pCO2_niva/index.htmlTable https://nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/carbonate_pCO2_niva.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=carbonate_pCO2_niva&showErrors=false&email= NIVA carbonate_pCO2_niva
https://data-nautilos-h2020.eu/erddap/tabledap/carbonate_pCO2_niva_test https://data-nautilos-h2020.eu/erddap/tabledap/carbonate_pCO2_niva_test.graph https://data-nautilos-h2020.eu/erddap/files/carbonate_pCO2_niva_test/ NAUTILOS - Carbonate pCO2 - NIVA - Test NAUTILOS - Carbonate pCO2 - NIVA - Test\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nco2 (ppm)\ntemp (Temperature, degree_Celsius)\n https://data-nautilos-h2020.eu/erddap/info/carbonate_pCO2_niva_test/index.htmlTable https://nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/carbonate_pCO2_niva_test.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=carbonate_pCO2_niva_test&showErrors=false&email= NIVA carbonate_pCO2_niva_test
https://data-nautilos-h2020.eu/erddap/tabledap/carbonate_pH_HONEYWELL_niva https://data-nautilos-h2020.eu/erddap/tabledap/carbonate_pH_HONEYWELL_niva.graph https://data-nautilos-h2020.eu/erddap/files/carbonate_pH_HONEYWELL_niva/ NAUTILOS - Carbonate pH Honeywell sensor - NIVA NAUTILOS - Carbonate pH Honeywell sensor - NIVA\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\npH (pH units)\ntemp (degree_Celsius)\nV_pH\nV_Temp (volt)\nR_temp (ohm)\n https://data-nautilos-h2020.eu/erddap/info/carbonate_pH_HONEYWELL_niva/index.htmlTable https://nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/carbonate_pH_HONEYWELL_niva.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=carbonate_pH_HONEYWELL_niva&showErrors=false&email= NIVA carbonate_pH_HONEYWELL_niva
https://data-nautilos-h2020.eu/erddap/tabledap/carbonate_pH_HONEYWELL_niva_test https://data-nautilos-h2020.eu/erddap/tabledap/carbonate_pH_HONEYWELL_niva_test.graph https://data-nautilos-h2020.eu/erddap/files/carbonate_pH_HONEYWELL_niva_test/ NAUTILOS - Carbonate pH Honeywell sensor - NIVA - Test NAUTILOS - Carbonate pH Honeywell sensor - NIVA - Test\n\ncdm_data_type = Other\nVARIABLES:\ntimes (Time, seconds since 1970-01-01T00:00:00Z)\ntime (seconds since 1970-01-01T00:00:00Z)\nV_isfet (volt)\npH (pH units)\nV_temp (volt)\nR_temp (ohm)\nTemp (degree_Celsius)\n https://data-nautilos-h2020.eu/erddap/info/carbonate_pH_HONEYWELL_niva_test/index.htmlTable https://nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/carbonate_pH_HONEYWELL_niva_test.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=carbonate_pH_HONEYWELL_niva_test&showErrors=false&email= NIVA carbonate_pH_HONEYWELL_niva_test
https://data-nautilos-h2020.eu/erddap/tabledap/microplastic_sensor_ferrybox_niva https://data-nautilos-h2020.eu/erddap/tabledap/microplastic_sensor_ferrybox_niva.graph https://data-nautilos-h2020.eu/erddap/files/microplastic_sensor_ferrybox_niva/ NAUTILOS - Ferrybox data associated to microplastic sampler - NIVA A filter system with a 100 μm mesh size, at a depth of approximately 4-5 m. The FerryBox system enables large volume low cost microplastic sampler consisting of a filter holder allowing large sampling volumes (up to 10 000 L) to enable sampling down to background levels.\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nsalinity (Sea Water Practical Salinity, PSU)\ntemperature (degree_Celsius)\nchlorophyll_a (Concentration Of Chlorophyll In Sea Water, mg/m3)\nturbidity (FNU)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/microplastic_sensor_ferrybox_niva_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/microplastic_sensor_ferrybox_niva_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/microplastic_sensor_ferrybox_niva/index.htmlTable https://nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/microplastic_sensor_ferrybox_niva.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=microplastic_sensor_ferrybox_niva&showErrors=false&email= NIVA microplastic_sensor_ferrybox_niva
https://data-nautilos-h2020.eu/erddap/tabledap/lif_lidar_niva https://data-nautilos-h2020.eu/erddap/tabledap/lif_lidar_niva.graph https://data-nautilos-h2020.eu/erddap/files/lif_lidar_niva/ NAUTILOS - Laser induced fluorescence light detecting and ranging (LIF-LIDAR) sensor - NIVA NAUTILOS - Laser induced fluorescence light detecting and ranging (LIF-LIDAR) sensor - NIVA\n\ncdm_data_type = Other\nVARIABLES:\ntime (Turner UTC, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nHeading\nCourse\nSpeedKnots (Speed Knots, nautical_mile/hour)\nSpeedMs (Speed Ms, m/s)\nChlorophyllA_Counts (Chlorophyll A Counts)\nTurbidity_Counts\nCDOM_Counts\nChl_a_mg_m3 (mg/m3)\nTurbidity_FNU\nfDOM_mgQS_l (f DOM mgQS/l)\na_WaterDepth_m (Water Depth M, meter)\nvaleportTemp (valeport Temp, degree_Celsius)\na_valeportConductivity (Sea Water Electrical Conductivity, S/m)\nvaleportPractSalinity (Sea Water Practical Salinity, PSU)\nvaleportAbsSalinity (Sea Water Practical Salinity, PSU)\ndaytime\nDate (seconds since 1970-01-01T00:00:00Z)\nVm_raman (volt)\nVm_chla (volt)\nVm_cdom (volt)\nVm_raman_b (volt)\nVm_chla_b (Concentration Of Chlorophyll In Sea Water, volt)\nVm_cdom_b (volt)\nRaman (volt)\nChla (volt)\nCdom (volt)\nlidar_chla_cal (µg/l)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/lif_lidar_niva_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/lif_lidar_niva_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/lif_lidar_niva/index.htmlTable https://data-nautilos-h2020.eu/erddap/index.html https://data-nautilos-h2020.eu/erddap/rss/lif_lidar_niva.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=lif_lidar_niva&showErrors=false&email= NIVA lif_lidar_niva
https://data-nautilos-h2020.eu/erddap/tabledap/satellite_uav_matchups_S2 https://data-nautilos-h2020.eu/erddap/tabledap/satellite_uav_matchups_S2.graph https://data-nautilos-h2020.eu/erddap/files/satellite_uav_matchups_S2/ NAUTILOS - Matchups of in situ data from UAV during Norwegian and Aegean Sea demonstration with remote sensing from MSI imager collected by S2-A or S2-B satellite platform - NIVA NAUTILOS - Matchups of in situ data from UAV during Norwegian and Aegean Sea demonstration with remote sensing from MSI imager collected by S2-A or S2-B satellite platform - NIVA\n\ncdm_data_type = Other\nVARIABLES:\nname\ntime (seconds since 1970-01-01T00:00:00Z)\naltitude (m)\ngroup\nX475 (1/sr)\nX560 (1/sr)\nX668 (1/sr)\nX717 (1/sr)\nX842 (1/sr)\nferry_chla (Concentration Of Chlorophyll In Sea Water, mg/m3)\nferry_cdom (mg/m3)\nferry_turb (FNU)\nferry_date\nsatellite_file\nsatellite_time (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nRrs_443 (1/sr)\nRrs_492 (1/sr)\nRrs_560 (1/sr)\nRrs_665 (1/sr)\nRrs_704 (1/sr)\nRrs_740 (1/sr)\nRrs_783 (1/sr)\nRrs_833 (1/sr)\nRrs_865 (1/sr)\n... (9 more variables)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/satellite_uav_matchups_S2_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/satellite_uav_matchups_S2_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/satellite_uav_matchups_S2/index.htmlTable https://nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/satellite_uav_matchups_S2.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=satellite_uav_matchups_S2&showErrors=false&email= NIVA satellite_uav_matchups_S2
https://data-nautilos-h2020.eu/erddap/tabledap/satellite_uav_matchups_S3 https://data-nautilos-h2020.eu/erddap/tabledap/satellite_uav_matchups_S3.graph https://data-nautilos-h2020.eu/erddap/files/satellite_uav_matchups_S3/ NAUTILOS - Matchups of in situ data from UAV during Norwegian and Aegean Sea demonstration with remote sensing from OLCI imager collected by S3-A or S3-B satellite platform - NIVA NAUTILOS - Matchups of in situ data from UAV during Norwegian and Aegean Sea demonstration with remote sensing from OLCI imager collected by S3-A or S3-B satellite platform - NIVA\n\ncdm_data_type = Other\nVARIABLES:\nname\ntime (seconds since 1970-01-01T00:00:00Z)\naltitude (m)\ngroup\nX475 (1/sr)\nX560 (1/sr)\nX668 (1/sr)\nX717 (1/sr)\nX842 (1/sr)\nferry_chla (Concentration Of Chlorophyll In Sea Water, mg/m3)\nferry_cdom (mg/m3)\nferry_turb (FNU)\nferry_date\nsatellite_file\nsatellite_time (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nRrs_400 (1/sr)\nRrs_412 (1/sr)\nRrs_443 (1/sr)\nRrs_490 (1/sr)\nRrs_510 (1/sr)\nRrs_560 (1/sr)\nRrs_620 (1/sr)\nRrs_665 (1/sr)\nRrs_674 (1/sr)\n... (14 more variables)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/satellite_uav_matchups_S3_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/satellite_uav_matchups_S3_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/satellite_uav_matchups_S3/index.htmlTable https://nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/satellite_uav_matchups_S3.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=satellite_uav_matchups_S3&showErrors=false&email= NIVA satellite_uav_matchups_S3
https://data-nautilos-h2020.eu/erddap/tabledap/satellite_uav_matchups_L8 https://data-nautilos-h2020.eu/erddap/tabledap/satellite_uav_matchups_L8.graph https://data-nautilos-h2020.eu/erddap/files/satellite_uav_matchups_L8/ NAUTILOS - Matchups of in situ data from UAV during Norwegian and Aegean Sea demonstration with remote sensing from OLI or OLI-2 imager collected by L8 or L9 satellite platform - NIVA NAUTILOS - Matchups of in situ data from UAV during Norwegian and Aegean Sea demonstration with remote sensing from OLI or OLI-2 imager collected by L8 or L9 satellite platform - NIVA\n\ncdm_data_type = Other\nVARIABLES:\nname\ntime (seconds since 1970-01-01T00:00:00Z)\naltitude (m)\ngroup\nX475 (1/sr)\nX560 (1/sr)\nX668 (1/sr)\nX717 (1/sr)\nX842 (1/sr)\nferry_chla (Concentration Of Chlorophyll In Sea Water, mg/m3)\nferry_cdom (mg/m3)\nferry_turb (FNU)\nferry_date\nsatellite_file\nsatellite_time (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nRrs_443 (1/sr)\nRrs_483 (1/sr)\nRrs_561 (1/sr)\nRrs_654 (1/sr)\nRrs_865 (1/sr)\nRrs_1609 (1/sr)\nRrs_2201 (1/sr)\nRrs_594 (1/sr)\nRrs_613 (1/sr)\n... (4 more variables)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/satellite_uav_matchups_L8_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/satellite_uav_matchups_L8_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/satellite_uav_matchups_L8/index.htmlTable https://nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/satellite_uav_matchups_L8.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=satellite_uav_matchups_L8&showErrors=false&email= NIVA satellite_uav_matchups_L8
https://data-nautilos-h2020.eu/erddap/tabledap/microplastic_sensor_niva https://data-nautilos-h2020.eu/erddap/tabledap/microplastic_sensor_niva.graph https://data-nautilos-h2020.eu/erddap/files/microplastic_sensor_niva/ NAUTILOS - Microplastic sampler - NIVA A filter system with a 100 μm mesh size, at a depth of approximately 4-5 m. The FerryBox system enables large volume low cost microplastic sampler consisting of a filter holder allowing large sampling volumes (up to 10 000 L) to enable sampling down to background levels.\n\ncdm_data_type = Other\nVARIABLES:\nsample_code_LIMS\nstation_name\ntime (seconds since 1970-01-01T00:00:00Z)\nvolume (liter)\nshape\ncolour_category_EMODnet\nlongest_dimension (micron)\nshortest_dimension (micron)\nsize_category\npolymer_category_AMAP\nparticle_mass (μg)\nlatitude_start (Latitude, degrees_north)\nlatitude_end (Latitude, degrees_north)\nlongitude_start (Longitude, degrees_east)\nlongitude_end (Longitude, degrees_east)\ntrip\n https://data-nautilos-h2020.eu/erddap/info/microplastic_sensor_niva/index.htmlTable https://nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/microplastic_sensor_niva.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=microplastic_sensor_niva&showErrors=false&email= NIVA microplastic_sensor_niva
https://data-nautilos-h2020.eu/erddap/tabledap/particles_tracking_exp_output_postNaut_bFalse_f1_niva https://data-nautilos-h2020.eu/erddap/tabledap/particles_tracking_exp_output_postNaut_bFalse_f1_niva.graph https://data-nautilos-h2020.eu/erddap/files/particles_tracking_exp_output_postNaut_bFalse_f1_niva/ NAUTILOS - Particle tracking postNautilos experiment with biofouling and floating off - NIVA Experiment using the postNautilos physics files to run the drift, with the biofouling module turned off and the plastic set to be buoyant rather than following the vertical velocities.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntrajectory (1)\ntime (seconds since 1970-01-01T00:00:00Z)\nstatus\nmoving\nage_seconds (s)\norigin_marker\nlongitude (degrees_east)\nlatitude (degrees_north)\ndepth (vertical position, m)\nwind_drift_factor (1)\ncurrent_drift_factor (1)\nterminal_velocity (m/s)\nx_sea_water_velocity\ny_sea_water_velocity\nx_wind\ny_wind\nupward_sea_water_velocity\nocean_vertical_diffusivity\nsea_surface_wave_significant_height\nsea_surface_wave_stokes_drift_x_velocity\nsea_surface_wave_stokes_drift_y_velocity\nsea_surface_wave_period_at_variance_spectral_density_maximum\nsea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment\nsurface_downward_x_stress\nsurface_downward_y_stress\nturbulent_kinetic_energy\n... (4 more variables)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/particles_tracking_exp_output_postNaut_bFalse_f1_niva_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/particles_tracking_exp_output_postNaut_bFalse_f1_niva_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/particles_tracking_exp_output_postNaut_bFalse_f1_niva/index.htmlTable https://data-nautilos-h2020.eu/erddap/index.html https://data-nautilos-h2020.eu/erddap/rss/particles_tracking_exp_output_postNaut_bFalse_f1_niva.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=particles_tracking_exp_output_postNaut_bFalse_f1_niva&showErrors=false&email= NIVA particles_tracking_exp_output_postNaut_bFalse_f1_niva
https://data-nautilos-h2020.eu/erddap/tabledap/particles_tracking_exp_output_postNaut_bTrue_f0_niva https://data-nautilos-h2020.eu/erddap/tabledap/particles_tracking_exp_output_postNaut_bTrue_f0_niva.graph https://data-nautilos-h2020.eu/erddap/files/particles_tracking_exp_output_postNaut_bTrue_f0_niva/ NAUTILOS - Particle tracking postNautilos experiment with biofouling and floating on- NIVA Experiment using the postNautilos physics files to run the drift, with the biofouling module turned on and the plastic set to be neutrally buoyant following the vertical velocities.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntrajectory (1)\ntime (seconds since 1970-01-01T00:00:00Z)\nstatus\nmoving\nage_seconds (s)\norigin_marker\nlongitude (degrees_east)\nlatitude (degrees_north)\ndepth (vertical position, m)\nwind_drift_factor (1)\ncurrent_drift_factor (1)\nterminal_velocity (m/s)\nunfouled_diameter (m)\nunfouled_density (kg/m^3)\nbiofilm_no_attached_algae\ntotal_density (kg/m^3)\ntotal_diameter (m)\nx_sea_water_velocity\ny_sea_water_velocity\nsea_surface_wave_significant_height\nsea_ice_area_fraction\nx_wind\ny_wind\nland_binary_mask\nsea_floor_depth_below_sea_level\nocean_vertical_diffusivity\n... (11 more variables)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/particles_tracking_exp_output_postNaut_bTrue_f0_niva_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/particles_tracking_exp_output_postNaut_bTrue_f0_niva_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/particles_tracking_exp_output_postNaut_bTrue_f0_niva/index.htmlTable https://data-nautilos-h2020.eu/erddap/index.html https://data-nautilos-h2020.eu/erddap/rss/particles_tracking_exp_output_postNaut_bTrue_f0_niva.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=particles_tracking_exp_output_postNaut_bTrue_f0_niva&showErrors=false&email= NIVA particles_tracking_exp_output_postNaut_bTrue_f0_niva
https://data-nautilos-h2020.eu/erddap/tabledap/particles_tracking_exp_output_preNaut_bFalse_f1_niva https://data-nautilos-h2020.eu/erddap/tabledap/particles_tracking_exp_output_preNaut_bFalse_f1_niva.graph https://data-nautilos-h2020.eu/erddap/files/particles_tracking_exp_output_preNaut_bFalse_f1_niva/ NAUTILOS - Particle tracking preNautilos experiment with biofouling and floating off - NIVA Experiment using the preNautilos physics files to run the drift, with the biofouling module turned off and the plastic set to be buoyant rather than following the vertical velocities.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntrajectory (1)\ntime (seconds since 1970-01-01T00:00:00Z)\nstatus\nmoving\nage_seconds (s)\norigin_marker\nlongitude (degrees_east)\nlatitude (degrees_north)\ndepth (vertical position, m)\nwind_drift_factor (1)\ncurrent_drift_factor (1)\nterminal_velocity (m/s)\nx_sea_water_velocity\ny_sea_water_velocity\nx_wind\ny_wind\nupward_sea_water_velocity\nocean_vertical_diffusivity\nsea_surface_wave_significant_height\nsea_surface_wave_stokes_drift_x_velocity\nsea_surface_wave_stokes_drift_y_velocity\nsea_surface_wave_period_at_variance_spectral_density_maximum\nsea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment\nsurface_downward_x_stress\nsurface_downward_y_stress\nturbulent_kinetic_energy\n... (4 more variables)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/particles_tracking_exp_output_preNaut_bFalse_f1_niva_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/particles_tracking_exp_output_preNaut_bFalse_f1_niva_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/particles_tracking_exp_output_preNaut_bFalse_f1_niva/index.htmlTable https://data-nautilos-h2020.eu/erddap/index.html https://data-nautilos-h2020.eu/erddap/rss/particles_tracking_exp_output_preNaut_bFalse_f1_niva.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=particles_tracking_exp_output_preNaut_bFalse_f1_niva&showErrors=false&email= NIVA particles_tracking_exp_output_preNaut_bFalse_f1_niva
https://data-nautilos-h2020.eu/erddap/tabledap/particles_tracking_exp_output_preNaut_bTrue_f0_niva https://data-nautilos-h2020.eu/erddap/tabledap/particles_tracking_exp_output_preNaut_bTrue_f0_niva.graph https://data-nautilos-h2020.eu/erddap/files/particles_tracking_exp_output_preNaut_bTrue_f0_niva/ NAUTILOS - Particle tracking preNautilos experiment with biofouling and floating on- NIVA Experiment using the preNautilos physics files to run the drift, with the biofouling module turned on and the plastic set to be neutrally buoyant following the vertical velocities.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntrajectory (1)\ntime (seconds since 1970-01-01T00:00:00Z)\nstatus\nmoving\nage_seconds (s)\norigin_marker\nlongitude (degrees_east)\nlatitude (degrees_north)\ndepth (vertical position, m)\nwind_drift_factor (1)\ncurrent_drift_factor (1)\nterminal_velocity (m/s)\nunfouled_diameter (m)\nunfouled_density (kg/m^3)\nbiofilm_no_attached_algae\ntotal_density (kg/m^3)\ntotal_diameter (m)\nx_sea_water_velocity\ny_sea_water_velocity\nsea_surface_wave_significant_height\nsea_ice_area_fraction\nx_wind\ny_wind\nland_binary_mask\nsea_floor_depth_below_sea_level\nocean_vertical_diffusivity\n... (11 more variables)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/particles_tracking_exp_output_preNaut_bTrue_f0_niva_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/particles_tracking_exp_output_preNaut_bTrue_f0_niva_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/particles_tracking_exp_output_preNaut_bTrue_f0_niva/index.htmlTable https://data-nautilos-h2020.eu/erddap/index.html https://data-nautilos-h2020.eu/erddap/rss/particles_tracking_exp_output_preNaut_bTrue_f0_niva.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=particles_tracking_exp_output_preNaut_bTrue_f0_niva&showErrors=false&email= NIVA particles_tracking_exp_output_preNaut_bTrue_f0_niva
https://data-nautilos-h2020.eu/erddap/tabledap/particles_tracking_exp_output_roho160_bFalse_f1_niva https://data-nautilos-h2020.eu/erddap/tabledap/particles_tracking_exp_output_roho160_bFalse_f1_niva.graph https://data-nautilos-h2020.eu/erddap/files/particles_tracking_exp_output_roho160_bFalse_f1_niva/ NAUTILOS - Particle tracking roho160 experiment with biofouling and floating off - NIVA Experiment using the roho160 physics files to run the drift, with the biofouling module turned off and the plastic set to be buoyant rather than following the vertical velocities.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntrajectory (1)\ntime (seconds since 1970-01-01T00:00:00Z)\nstatus\nmoving\nage_seconds (s)\norigin_marker\nlongitude (degrees_east)\nlatitude (degrees_north)\ndepth (vertical position, m)\nwind_drift_factor (1)\ncurrent_drift_factor (1)\nterminal_velocity (m/s)\nx_sea_water_velocity\ny_sea_water_velocity\nx_wind\ny_wind\nupward_sea_water_velocity\nocean_vertical_diffusivity\nsea_surface_wave_significant_height\nsea_surface_wave_stokes_drift_x_velocity\nsea_surface_wave_stokes_drift_y_velocity\nsea_surface_wave_period_at_variance_spectral_density_maximum\nsea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment\nsurface_downward_x_stress\nsurface_downward_y_stress\nturbulent_kinetic_energy\n... (4 more variables)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/particles_tracking_exp_output_roho160_bFalse_f1_niva_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/particles_tracking_exp_output_roho160_bFalse_f1_niva_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/particles_tracking_exp_output_roho160_bFalse_f1_niva/index.htmlTable https://data-nautilos-h2020.eu/erddap/index.html https://data-nautilos-h2020.eu/erddap/rss/particles_tracking_exp_output_roho160_bFalse_f1_niva.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=particles_tracking_exp_output_roho160_bFalse_f1_niva&showErrors=false&email= NIVA particles_tracking_exp_output_roho160_bFalse_f1_niva
https://data-nautilos-h2020.eu/erddap/tabledap/particles_tracking_exp_output_roho160_bTrue_f0_niva https://data-nautilos-h2020.eu/erddap/tabledap/particles_tracking_exp_output_roho160_bTrue_f0_niva.graph https://data-nautilos-h2020.eu/erddap/files/particles_tracking_exp_output_roho160_bTrue_f0_niva/ NAUTILOS - Particle tracking roho160 experiment with biofouling and floating on- NIVA Experiment using the roho160 physics files to run the drift, with the biofouling module turned on and the plastic set to be neutrally buoyant following the vertical velocities.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntrajectory (1)\ntime (seconds since 1970-01-01T00:00:00Z)\nstatus\nmoving\nage_seconds (s)\norigin_marker\nlongitude (degrees_east)\nlatitude (degrees_north)\ndepth (vertical position, m)\nwind_drift_factor (1)\ncurrent_drift_factor (1)\nterminal_velocity (m/s)\nunfouled_diameter (m)\nunfouled_density (kg/m^3)\nbiofilm_no_attached_algae\ntotal_density (kg/m^3)\ntotal_diameter (m)\nx_sea_water_velocity\ny_sea_water_velocity\nsea_surface_wave_significant_height\nsea_ice_area_fraction\nx_wind\ny_wind\nland_binary_mask\nsea_floor_depth_below_sea_level\nocean_vertical_diffusivity\n... (11 more variables)\n https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/particles_tracking_exp_output_roho160_bTrue_f0_niva_fgdc.xml https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/particles_tracking_exp_output_roho160_bTrue_f0_niva_iso19115.xml https://data-nautilos-h2020.eu/erddap/info/particles_tracking_exp_output_roho160_bTrue_f0_niva/index.htmlTable https://data-nautilos-h2020.eu/erddap/index.html https://data-nautilos-h2020.eu/erddap/rss/particles_tracking_exp_output_roho160_bTrue_f0_niva.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=particles_tracking_exp_output_roho160_bTrue_f0_niva&showErrors=false&email= NIVA particles_tracking_exp_output_roho160_bTrue_f0_niva
https://data-nautilos-h2020.eu/erddap/tabledap/pps-reference_niva_test https://data-nautilos-h2020.eu/erddap/tabledap/pps-reference_niva_test.graph https://data-nautilos-h2020.eu/erddap/files/pps-reference_niva_test/ NAUTILOS - Phytoplancton sampler FerryBox - NIVA - Test The test objective was to evaluate integration and autonomous operation of the phytoplankton and suspended matter filter sampler as part of the FerryBox system on ships of opportunity. The sampling test was conducted on board Color Fantasy on the route Oslo (Norway) to Kiel (Germany) and samples were analyzed in NIVA's lab in Oslo.\n\ncdm_data_type = Other\nVARIABLES:\nsample\ngroup\nfilter\nCq\ninverse_qtresh\n https://data-nautilos-h2020.eu/erddap/info/pps-reference_niva_test/index.htmlTable https://nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/pps-reference_niva_test.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=pps-reference_niva_test&showErrors=false&email= NIVA pps-reference_niva_test
https://data-nautilos-h2020.eu/erddap/tabledap/pps-calibration_niva_test https://data-nautilos-h2020.eu/erddap/tabledap/pps-calibration_niva_test.graph https://data-nautilos-h2020.eu/erddap/files/pps-calibration_niva_test/ NAUTILOS - Phytoplankton sampler calibration/validation experiment - NIVA - Test The test objective was to evaluate the phytoplankton and suspended matter filter sampler for sampling phytoplankton and various DNA preservation methods for the sampler?s filters, and ultimately to find a method which preserves DNA well enough so that the sampler can operate autonomously as part of a FerryBox system for more than a week on ships of opportunity in WP7 demonstrations, with cooling at 4 ºC, before manually retrieving the filters for onshore analysis. The test was conducted in NIVA's lab in Oslo.\n\ncdm_data_type = Other\nVARIABLES:\nSample\nDNA_preserv\nPPS_holder\npps_repl\nrelval\nassay\n https://data-nautilos-h2020.eu/erddap/info/pps-calibration_niva_test/index.htmlTable https://nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/pps-calibration_niva_test.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=pps-calibration_niva_test&showErrors=false&email= NIVA pps-calibration_niva_test
https://data-nautilos-h2020.eu/erddap/tabledap/multi-hyper-spectral_camera_niva https://data-nautilos-h2020.eu/erddap/tabledap/multi-hyper-spectral_camera_niva.graph https://data-nautilos-h2020.eu/erddap/files/multi-hyper-spectral_camera_niva/ NAUTILOS - RGB, Multispectral and hyperspectral observations of plastic litter and ocean color - NIVA RGB, Multispectral and hyperspectral observations of plastic litter and ocean color\n\ncdm_data_type = Other\nVARIABLES:\nurl\nname (File Name)\nlastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)\nsize (bytes)\nfileType (File Type)\napplication\nimage_type\n https://data-nautilos-h2020.eu/erddap/info/multi-hyper-spectral_camera_niva/index.htmlTable https://nautilos-h2020.eu/ (external link) https://data-nautilos-h2020.eu/erddap/rss/multi-hyper-spectral_camera_niva.rss https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=multi-hyper-spectral_camera_niva&showErrors=false&email= NIVA multi-hyper-spectral_camera_niva

 
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