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| griddap | Subset | tabledap | Make A Graph | wms | files | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | 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/
| 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/
| 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/
| 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/
| 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/carbonate_pH_memosens_niva_syke.subset | https://data-nautilos-h2020.eu/erddap/tabledap/carbonate_pH_memosens_niva_syke | https://data-nautilos-h2020.eu/erddap/tabledap/carbonate_pH_memosens_niva_syke.graph | https://data-nautilos-h2020.eu/erddap/files/carbonate_pH_memosens_niva_syke/ | NAUTILOS - Carbonate pH Memosens sensor - NIVA/SYKE | Ferrybox ISFET sensor pH data from cargo vessel \"Finnmaid\" traversing between Helsinki and Travemünde every three days.\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\npH_pH (P H P H, pH units)\nTemperature_degC (Temperature Deg C, degree_Celsius)\nRawValuePH_mV (Raw Value PH M V, volt)\nlatitude (degrees_north)\nlongitude (degrees_east)\nFlow_LPM\nSerial_number\n | https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/carbonate_pH_memosens_niva_syke_fgdc.xml | https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/carbonate_pH_memosens_niva_syke_iso19115.xml | https://data-nautilos-h2020.eu/erddap/info/carbonate_pH_memosens_niva_syke/index.htmlTable | https://nautilos-h2020.eu/
| https://data-nautilos-h2020.eu/erddap/rss/carbonate_pH_memosens_niva_syke.rss | https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=carbonate_pH_memosens_niva_syke&showErrors=false&email= | NIVA, SYKE | carbonate_pH_memosens_niva_syke | ||
| https://data-nautilos-h2020.eu/erddap/tabledap/carbonate_pH_memosens_niva_syke_test.subset | https://data-nautilos-h2020.eu/erddap/tabledap/carbonate_pH_memosens_niva_syke_test | https://data-nautilos-h2020.eu/erddap/tabledap/carbonate_pH_memosens_niva_syke_test.graph | https://data-nautilos-h2020.eu/erddap/files/carbonate_pH_memosens_niva_syke_test/ | NAUTILOS - Carbonate pH Memosens sensor - NIVA/SYKE - Test | Ferrybox ISFET sensor pH data from cargo vessel \"Finnmaid\" traversing between Helsinki and Travemünde every three days.\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\npH_pH (P H P H, pH units)\nTemperature_degC (Temperature Deg C, degree_Celsius)\nRawValuePH_mV (Raw Value PH M V)\nlatitude (degrees_north)\nlongitude (degrees_east)\nFlow_LPM\nSerial_number\n | https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/carbonate_pH_memosens_niva_syke_test_fgdc.xml | https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/carbonate_pH_memosens_niva_syke_test_iso19115.xml | https://data-nautilos-h2020.eu/erddap/info/carbonate_pH_memosens_niva_syke_test/index.htmlTable | https://nautilos-h2020.eu/
| https://data-nautilos-h2020.eu/erddap/rss/carbonate_pH_memosens_niva_syke_test.rss | https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=carbonate_pH_memosens_niva_syke_test&showErrors=false&email= | NIVA, SYKE | carbonate_pH_memosens_niva_syke_test | ||
| https://data-nautilos-h2020.eu/erddap/tabledap/CTD_lander_ceiia_data | https://data-nautilos-h2020.eu/erddap/tabledap/CTD_lander_ceiia_data.graph | https://data-nautilos-h2020.eu/erddap/files/CTD_lander_ceiia_data/ | NAUTILOS - CEiiA Lander with UL-FE Deep Ocean CTD - Data - CEiiA / UL-FE / AQUATEC | NAUTILOS - CEiiA Lander with UL-FE Deep Ocean CTD - Data - CEiiA / UL-FE / AQUATEC\n\ncdm_data_type = Other\nVARIABLES:\nmission_id\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ncell_f (hertz)\ncell_v (volt)\ngain_i\ngain_v\nrtd\nwire\nr (ohm)\nT (Temperature, degree_Celsius)\nip_p_p (ampere)\nip_p_m (ampere)\nvp_p_p (volt)\nvp_p_m (volt)\ntemp_coef (%/C)\np_gain\np_adc\nvp (volt)\nP (Pressure, kPa)\nr_cond (ohm)\nC (Conductivity, S/cm)\n | https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/CTD_lander_ceiia_data_fgdc.xml | https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/CTD_lander_ceiia_data_iso19115.xml | https://data-nautilos-h2020.eu/erddap/info/CTD_lander_ceiia_data/index.htmlTable | https://data-nautilos-h2020.eu/erddap/index.html | https://data-nautilos-h2020.eu/erddap/rss/CTD_lander_ceiia_data.rss | https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=CTD_lander_ceiia_data&showErrors=false&email= | CEiiA, UL-FE, AQUATEC | CTD_lander_ceiia_data | |||
| https://data-nautilos-h2020.eu/erddap/tabledap/mini_drifter.subset | https://data-nautilos-h2020.eu/erddap/tabledap/mini_drifter | https://data-nautilos-h2020.eu/erddap/tabledap/mini_drifter.graph | https://data-nautilos-h2020.eu/erddap/files/mini_drifter/ | NAUTILOS - Citizen Science Low-cost drifters for marine litter coastal monitoring - CNR ISMAR | This project utilizes traditional marine litter to create drifters equipped with electronic devices for analyzing sea routes. The use of ordinary litter provides a realistic model for studying ocean currents, while also being cost-effective and easily assembled by makers, associations, and schools. The drifters feature solar panels for energy and transmit data via GSM. The project aims to enhance monitoring efforts and raise awareness about marine litter in alignment with the Marine Strategy Framework Directive. The drifters are equipped with self-sustaining solar panels and transmit data through the GSM network. The novelty lies in the specially created software that records data in case of signal loss and transmits it as soon as the signal returns.\n\ncdm_data_type = Other\nVARIABLES:\nmission\nID (drifter ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndrifter_type\nspeed (km/h)\ndirection (degree)\ntemp_surface (degree_Celsius)\ntemp_air (degree_Celsius)\n | https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/mini_drifter_fgdc.xml | https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/mini_drifter_iso19115.xml | https://data-nautilos-h2020.eu/erddap/info/mini_drifter/index.htmlTable | http://www.ismar.cnr.it/
| https://data-nautilos-h2020.eu/erddap/rss/mini_drifter.rss | https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=mini_drifter&showErrors=false&email= | CNR-ISMAR | mini_drifter | ||
| https://data-nautilos-h2020.eu/erddap/tabledap/env_logger_data_test.subset | https://data-nautilos-h2020.eu/erddap/tabledap/env_logger_data_test | https://data-nautilos-h2020.eu/erddap/tabledap/env_logger_data_test.graph | https://data-nautilos-h2020.eu/erddap/files/env_logger_data_test/ | NAUTILOS - Citizien Science - Temperature in the water column - Test | Temperature in the water column collected with static temperature loggher with NFC technology in Citizen Scinece campaigns\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\ntemp (Temperature, degree_Celsius)\nserial_number\nsensor_id\nlatitude (degrees_north)\nlongitude (degrees_east)\naccuracy (GPS Position Accuracy, meter)\ndepth (Sensor depth, m)\n | https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/env_logger_data_test_fgdc.xml | https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/env_logger_data_test_iso19115.xml | https://data-nautilos-h2020.eu/erddap/info/env_logger_data_test/index.htmlTable | https://www.nautilos-h2020.eu/
| https://data-nautilos-h2020.eu/erddap/rss/env_logger_data_test.rss | https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=env_logger_data_test&showErrors=false&email= | ETT | env_logger_data_test | ||
| https://data-nautilos-h2020.eu/erddap/tabledap/radioactivity_sensor_hcmr | https://data-nautilos-h2020.eu/erddap/tabledap/radioactivity_sensor_hcmr.graph | https://data-nautilos-h2020.eu/erddap/files/radioactivity_sensor_hcmr/ | NAUTILOS - Deep Ocean Radioactivity Sensor - HCMR | Profiles of gamma ray counts collected by the HCMR radioactivity sensor during research cruises of the R/V Philia in Cretan and Ionian Sea\n\ncdm_data_type = Other\nVARIABLES:\nsite\ncounts_of_gamma_ray\ndepth (m)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntime_coverage_duration (Time Coverage Duration (seconds))\ntime_coverage_resolution (Time Coverage Resolution (seconds))\n | https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/radioactivity_sensor_hcmr_fgdc.xml | https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/radioactivity_sensor_hcmr_iso19115.xml | https://data-nautilos-h2020.eu/erddap/info/radioactivity_sensor_hcmr/index.htmlTable | https://nautilos-h2020.eu/
| https://data-nautilos-h2020.eu/erddap/rss/radioactivity_sensor_hcmr.rss | https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=radioactivity_sensor_hcmr&showErrors=false&email= | HCMR | radioactivity_sensor_hcmr | |||
| 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/
| 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/fluorometric_AUV_raw_hesso_edgelab_test | https://data-nautilos-h2020.eu/erddap/tabledap/fluorometric_AUV_raw_hesso_edgelab_test.graph | https://data-nautilos-h2020.eu/erddap/files/fluorometric_AUV_raw_hesso_edgelab_test/ | NAUTILOS - Fluorimetric sensor AUV Raw data - HESSO / EdgeLab - Test | Data stream with different frequency measurement obtained via integration of the DO sensors on an AUV - raw data\n\ncdm_data_type = Other\nVARIABLES:\nMessage_Identifier\ntime (seconds since 1970-01-01T00:00:00Z)\nDecay_time (Decadence time, ps)\nTemp (degree_Celsius)\nDAC_Voltage_Start (mV)\nDAC_Voltage_Stop (mV)\n | https://data-nautilos-h2020.eu/erddap/info/fluorometric_AUV_raw_hesso_edgelab_test/index.htmlTable | https://nautilos-h2020.eu/
| https://data-nautilos-h2020.eu/erddap/rss/fluorometric_AUV_raw_hesso_edgelab_test.rss | https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=fluorometric_AUV_raw_hesso_edgelab_test&showErrors=false&email= | HESSO, EdgeLab | fluorometric_AUV_raw_hesso_edgelab_test | |||||
| https://data-nautilos-h2020.eu/erddap/tabledap/fluorometric_AUV_hesso_edgelab_test | https://data-nautilos-h2020.eu/erddap/tabledap/fluorometric_AUV_hesso_edgelab_test.graph | https://data-nautilos-h2020.eu/erddap/files/fluorometric_AUV_hesso_edgelab_test/ | NAUTILOS - Fluorimetric sensor AUV Tau data - HESSO / EdgeLab - Test | Data stream with different frequency measurement obtained via integration of the DO sensors on an AUV\n\ncdm_data_type = Other\nVARIABLES:\nMessage_Identifier\ntime (seconds since 1970-01-01T00:00:00Z)\nTau_Value (ps)\nTemp (degree_Celsius)\nDAC_Voltage_Start (mV)\nDAC_Voltage_Stop (mV)\n | https://data-nautilos-h2020.eu/erddap/info/fluorometric_AUV_hesso_edgelab_test/index.htmlTable | https://nautilos-h2020.eu/
| https://data-nautilos-h2020.eu/erddap/rss/fluorometric_AUV_hesso_edgelab_test.rss | https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=fluorometric_AUV_hesso_edgelab_test&showErrors=false&email= | HESSO, EdgeLab | fluorometric_AUV_hesso_edgelab_test | |||||
| https://data-nautilos-h2020.eu/erddap/tabledap/fluorometric_nautilog_raw_hesso_edgelab_test | https://data-nautilos-h2020.eu/erddap/tabledap/fluorometric_nautilog_raw_hesso_edgelab_test.graph | https://data-nautilos-h2020.eu/erddap/files/fluorometric_nautilog_raw_hesso_edgelab_test/ | NAUTILOS - Fluorimetric sensor Nautilog Raw data - HESSO / EdgeLab - Test | Data stream with different frequency measurement obtained using the DO sensors in stand alone mode - raw data\n\ncdm_data_type = Other\nVARIABLES:\nMessage_Identifier\ntime (seconds since 1970-01-01T00:00:00Z)\nDecay_time (ps)\nTemp (degree_Celsius)\nDAC_Voltage_Start (mV)\nDAC_Voltage_Stop (mV)\n | https://data-nautilos-h2020.eu/erddap/info/fluorometric_nautilog_raw_hesso_edgelab_test/index.htmlTable | https://nautilos-h2020.eu/
| https://data-nautilos-h2020.eu/erddap/rss/fluorometric_nautilog_raw_hesso_edgelab_test.rss | https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=fluorometric_nautilog_raw_hesso_edgelab_test&showErrors=false&email= | HESSO, EdgeLab | fluorometric_nautilog_raw_hesso_edgelab_test | |||||
| https://data-nautilos-h2020.eu/erddap/tabledap/animal_tag_ceiia_data | https://data-nautilos-h2020.eu/erddap/tabledap/animal_tag_ceiia_data.graph | https://data-nautilos-h2020.eu/erddap/files/animal_tag_ceiia_data/ | NAUTILOS - MAANTA animal tag with O2 sensor - Data - CEiiA / IMAR | NAUTILOS - MAANTA animal tag with O2 sensor - Data - CEiiA / IMAR\n\ncdm_data_type = Other\nVARIABLES:\nmission_id\nprovider\ntime (seconds since 1970-01-01T00:00:00Z)\ntimestamp\nanimal_type_code\nanimal_type\ndeployment_lat (degrees_north)\ndeployment_lon (degrees_east)\nrecovery_lat (degrees_north)\nrecovery_lon (degrees_east)\nBat (V)\nBat_2 (%)\nAx (g)\nAy (g)\nAz (g)\nGx (°/S)\nGy (°/S)\nGz (°/S)\nMx (µT)\nMy (µT)\nMz (µT)\nLight (lux)\nVelocity (ticks/s)\nOxygen (µmol/L)\nOxygen_saturation (% air sat.)\nOxygen_phase_shift (dphi - m°)\nOxygen_status\n... (5 more variables)\n | https://data-nautilos-h2020.eu/erddap/info/animal_tag_ceiia_data/index.htmlTable | https://data-nautilos-h2020.eu/erddap/index.html | https://data-nautilos-h2020.eu/erddap/rss/animal_tag_ceiia_data.rss | https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=animal_tag_ceiia_data&showErrors=false&email= | CEiiA, IMAR | animal_tag_ceiia_data | |||||
| https://data-nautilos-h2020.eu/erddap/tabledap/nautilos_summer_school_2023.subset | https://data-nautilos-h2020.eu/erddap/tabledap/nautilos_summer_school_2023 | https://data-nautilos-h2020.eu/erddap/tabledap/nautilos_summer_school_2023.graph | https://data-nautilos-h2020.eu/erddap/files/nautilos_summer_school_2023/ | NAUTILOS - Marine Litter - NAUTILOS Summer School 2023 | Marine litter collected during the NAUTILOS Summer School beach clena up experience. This data is also included in the Citizen Science Plastic datasets (csc_plastic_campaign, csc_plastic_image, csc_plastic_litter), which are aligned with the EMODnet standard; the original dataset is maintained as it contains extra details.\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntype\nnumber\n | https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/nautilos_summer_school_2023_fgdc.xml | https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/nautilos_summer_school_2023_iso19115.xml | https://data-nautilos-h2020.eu/erddap/info/nautilos_summer_school_2023/index.htmlTable | https://www.nautilos-h2020.eu/
| https://data-nautilos-h2020.eu/erddap/rss/nautilos_summer_school_2023.rss | https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=nautilos_summer_school_2023&showErrors=false&email= | NAUTILOS | nautilos_summer_school_2023 | ||
| 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/
| 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/
| 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/
| 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_detector_red_fluorescence_csem_test | https://data-nautilos-h2020.eu/erddap/tabledap/microplastic_detector_red_fluorescence_csem_test.graph | https://data-nautilos-h2020.eu/erddap/files/microplastic_detector_red_fluorescence_csem_test/ | NAUTILOS - Microplastic Detector for red fluorescent microplastic particles - CSEM - Test | This dataset encompasses the detection of red fluorescent microspheres (uvpms_by) within the size range of 48-51 µm. The detection and analysis of the red fluorescence signal were conducted using microplastic detector photodiode (PD) channels 4, 5, and 6, each equipped with red fluorescence filters. These photodiodes have different signal gains, facilitating a broader dynamic range of detection. The timetrace data of the PD signals were captured and subsequently filtered using a low-pass filter. The timetrace data exhibited peaks corresponding to the presence of red microplastic particles in the measured sample. A peak-finding algorithm was employed to identify all peaks within the data. The dataset includes consecutive event numbers, representing peaks identified across all target channels (4, 5, and 6). Events detected in only a subset of these channels were excluded from the dataset. For each event, the amplitude (measured in the ADC sample range of 0-4095) and the width (measured in the number of samples) of the peak are reported. This dataset provides detailed information on the peak height and width for every event detected across all three channels, offering valuable insights into the detection capabilities of the microplastic detector.\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nMeasurement_Date\nMeasurement_Time\nMeasurement_Duration\nParticles\nSample_Concentration (ug/mL)\nSample_Volume (mL)\nFlow_Rate (uL/s)\nLaser_Power (mA)\nevent\nChannel_4_width (number of samples)\nChannel_4_height (ADC resolution/range)\nChannel_5_width (number of samples)\nChannel_5_height (ADC resolution/range)\nChannel_6_width (number of samples)\nChannel_6_height (ADC resolution/range)\n | https://data-nautilos-h2020.eu/erddap/info/microplastic_detector_red_fluorescence_csem_test/index.htmlTable | https://nautilos-h2020.eu/
| https://data-nautilos-h2020.eu/erddap/rss/microplastic_detector_red_fluorescence_csem_test.rss | https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=microplastic_detector_red_fluorescence_csem_test&showErrors=false&email= | CSEM | microplastic_detector_red_fluorescence_csem_test | |||||
| https://data-nautilos-h2020.eu/erddap/tabledap/microplastic_detector_yellow_fluorescence_csem_test | https://data-nautilos-h2020.eu/erddap/tabledap/microplastic_detector_yellow_fluorescence_csem_test.graph | https://data-nautilos-h2020.eu/erddap/files/microplastic_detector_yellow_fluorescence_csem_test/ | NAUTILOS - Microplastic Detector for yellow fluorescent microplastic particles - CSEM - Test | This dataset encompasses the detection of yellow fluorescent microspheres (uvpms_by) within the size range of 40-45 µm. The detection and analysis of the yellow fluorescence signal were conducted using microplastic detector photodiode (PD) channels 1, 2, and 3, each equipped with green fluorescence filters. These photodiodes have different signal gains, facilitating a broader dynamic range of detection. The timetrace data of the PD signals were captured and subsequently filtered using a low-pass filter. The timetrace data exhibited peaks corresponding to the presence of yellow microplastic particles in the measured sample. A peak-finding algorithm was employed to identify all peaks within the data. The dataset includes consecutive event numbers, representing peaks identified across all target channels (1, 2, and 3). Events detected in only a subset of these channels were excluded from the dataset. For each event, the amplitude (measured in the ADC sample range of 0-4095) and the width (measured in the number of samples) of the peak are reported. This dataset provides detailed information on the peak height and width for every event detected across all three channels, offering valuable insights into the detection capabilities of the microplastic detector.\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nMeasurement_Date\nMeasurement_Time\nMeasurement_Duration\nParticles\nSample_Concentration (ug/mL)\nSample_Volume (mL)\nFlow_Rate (uL/s)\nLaser_Power (mA)\nevent\nChannel_1_width (number of samples)\nChannel_1_height (ADC resolution/range)\nChannel_2_width (number of samples)\nChannel_2_height (ADC resolution/range)\nChannel_3_width (number of samples)\nChannel_3_height (ADC resolution/range)\n | https://data-nautilos-h2020.eu/erddap/info/microplastic_detector_yellow_fluorescence_csem_test/index.htmlTable | https://nautilos-h2020.eu/
| https://data-nautilos-h2020.eu/erddap/rss/microplastic_detector_yellow_fluorescence_csem_test.rss | https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=microplastic_detector_yellow_fluorescence_csem_test&showErrors=false&email= | CSEM | microplastic_detector_yellow_fluorescence_csem_test | |||||
| 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/
| 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/brizo.subset | https://data-nautilos-h2020.eu/erddap/tabledap/brizo | https://data-nautilos-h2020.eu/erddap/tabledap/brizo.graph | https://data-nautilos-h2020.eu/erddap/files/brizo/ | NAUTILOS - NRT Surface Temperature collected with Brizo citizen science tracker | NRT Surface Temperature collected in citizen science campaigns by using Brizo traker\n\ncdm_data_type = Trajectory\nVARIABLES:\nplatformcode\nmission\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntemperature (degree_Celsius)\ntimestamp (seconds since 1970-01-01T00:00:00Z)\nauthor\ncommand\n | https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/brizo_fgdc.xml | https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/brizo_iso19115.xml | https://data-nautilos-h2020.eu/erddap/info/brizo/index.htmlTable | https://www.nautilos-h2020.eu/
| https://data-nautilos-h2020.eu/erddap/rss/brizo.rss | https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=brizo&showErrors=false&email= | ETT | brizo | ||
| 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/passive_acoustic_sensor_aquatec_test | https://data-nautilos-h2020.eu/erddap/tabledap/passive_acoustic_sensor_aquatec_test.graph | https://data-nautilos-h2020.eu/erddap/files/passive_acoustic_sensor_aquatec_test/ | NAUTILOS - Passive Acoustic Sensor - AQUATEC - Test | The dataset originates from a state-of-the-art Passive Broadband Recorder, a cutting-edge passive acoustic sensor designed to monitor underwater soundscapes across diverse aquatic environments. With a wide 150kHz bandwidth, the recorder captures high-resolution marine sounds, supporting research in marine mammal behavior, sea ice dynamics, seismic activity, and anthropogenic noise impacts. This versatile technology enables detailed acoustic analysis, offering valuable insights into underwater ecosystems and advancing the field of marine science.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nfile_name (Audio file name)\nQC\nurl\nlastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)\nsize (bytes)\nfileType (File Type)\n | https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/passive_acoustic_sensor_aquatec_test_fgdc.xml | https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/passive_acoustic_sensor_aquatec_test_iso19115.xml | https://data-nautilos-h2020.eu/erddap/info/passive_acoustic_sensor_aquatec_test/index.htmlTable | https://nautilos-h2020.eu/
| https://data-nautilos-h2020.eu/erddap/rss/passive_acoustic_sensor_aquatec_test.rss | https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=passive_acoustic_sensor_aquatec_test&showErrors=false&email= | AQUATEC | passive_acoustic_sensor_aquatec_test | |||
| https://data-nautilos-h2020.eu/erddap/tabledap/seabird_ctd_nke | https://data-nautilos-h2020.eu/erddap/tabledap/seabird_ctd_nke.graph | https://data-nautilos-h2020.eu/erddap/files/seabird_ctd_nke/ | NAUTILOS - Seabird CDT associated to Silicate Electrochemical Sensor - NKE | The silicate data was measured, transmitted via the float by Iridium, and then decrypted by NKE. The data is represented in the form of a voltamogram that displays the current density as a function of the electrical potential applied to the electrode. The peak recognition stage is not yet complete. This will need to be implemented in the sensor in order to provide the silicate concentration directly.\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\ndepth (m)\ntemperature (degree_Celsius)\nsalinity (PSU)\nprofile_step\n | https://data-nautilos-h2020.eu/erddap/info/seabird_ctd_nke/index.htmlTable | https://nautilos-h2020.eu/
| https://data-nautilos-h2020.eu/erddap/rss/seabird_ctd_nke.rss | https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=seabird_ctd_nke&showErrors=false&email= | NKE | seabird_ctd_nke | |||||
| https://data-nautilos-h2020.eu/erddap/tabledap/silicate_sensor_nke | https://data-nautilos-h2020.eu/erddap/tabledap/silicate_sensor_nke.graph | https://data-nautilos-h2020.eu/erddap/files/silicate_sensor_nke/ | NAUTILOS - Silicate Electrochemical Sensor - NKE | The silicate data was measured, transmitted via the float by Iridium, and then decrypted by NKE. The data is represented in the form of a voltamogram that displays the current density as a function of the electrical potential applied to the electrode. The peak recognition stage is not yet complete. This will need to be implemented in the sensor in order to provide the silicate concentration directly.\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nE (Potential, volt)\ndI (Current density, microampere)\n | https://data-nautilos-h2020.eu/erddap/info/silicate_sensor_nke/index.htmlTable | https://nautilos-h2020.eu/
| https://data-nautilos-h2020.eu/erddap/rss/silicate_sensor_nke.rss | https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=silicate_sensor_nke&showErrors=false&email= | NKE | silicate_sensor_nke | |||||
| https://data-nautilos-h2020.eu/erddap/tabledap/elephant_seals_cnrs | https://data-nautilos-h2020.eu/erddap/tabledap/elephant_seals_cnrs.graph | https://data-nautilos-h2020.eu/erddap/files/elephant_seals_cnrs/ | NAUTILOS - SRDL-CTD-Oxy animlal tag on elephant seals in Peninsula Valdes and Kerguelen Island - CNRS/SMRU | Oceanographic data collected by the elephant seals equipped in Valdes peninsula in October 2021and in Kerguelen Island in October 2024 as part of NAUTILOS program. These data are quality controlled for T and S, and aberrant profiles are removed. Oxygen profiles remain to be fully controlled\n\ncdm_data_type = Other\nVARIABLES:\ncruise_id\nstation\nPLATFORMCODE (Platform Code)\nplatform_type\ndate (Date Extended)\nhours (Hours Extended, hh:mm)\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlatitude (degrees_north)\ndepth (m)\nDEPTH_QC\nTEMP (sea temperature, degree_Celsius)\nTEMP_QC (TEMP quality flag)\nPSAL (practical salinity, PSU)\nPSAL_QC (PSAL quality flag)\nDOXY (dissolved oxygen, mmole/m3)\nDOXY_QC (DOXY quality flag)\n | https://data-nautilos-h2020.eu/erddap/metadata/fgdc/xml/elephant_seals_cnrs_fgdc.xml | https://data-nautilos-h2020.eu/erddap/metadata/iso19115/xml/elephant_seals_cnrs_iso19115.xml | https://data-nautilos-h2020.eu/erddap/info/elephant_seals_cnrs/index.htmlTable | https://www.nautilos-h2020.eu/
| https://data-nautilos-h2020.eu/erddap/rss/elephant_seals_cnrs.rss | https://data-nautilos-h2020.eu/erddap/subscriptions/add.html?datasetID=elephant_seals_cnrs&showErrors=false&email= | CNRS, SMRU | elephant_seals_cnrs |