AndreaBozzo/ceres-open-data-index huggingface dataset:
Sensor Data from the GoMOOS SOS Server, 2000-present

The OCEANS IE -- formally approved as an OGC Interoperability
Experiment in December 2006 -- engages data managers and scientists
in the Ocean-Observing community to advance their understanding and
application of various OGC specifications, solidify demonstrations
for Ocean Science application areas, harden software
implementations, and produce candidate OGC Best Practices documents
that can be used to inform the broader ocean-observing community.

Because of the nature of SOS requests, requests for data MUST
include constraints for the longitude, latitude, time, and/or
station_id variables.

Initiators: SURA (lead), Texas A&M University, MBARI, GoMOOS and
Unidata.

Specific goals:
* Compare Sensor Observation Service (SOS) from the OGC's Sensor
  Web Enablement (SWE) initiative to the Web Feature Service (WFS)
  as applied to ocean data in a variety of data formats including
  text files, netCDF files, relational databases, and possibly
  native sensor output; (see Experiment #1 for details)
* Make use of semantic mediation via Semantic Web technologies to
  allow plurality of identification for source types (platforms
  and sensors) and phenomena types;
* Test aggregation services and caching strategies to provide
  efficient queries;
* Explore possible enhancements of THREDDS server, so that THREDDS
  resident data sources might be made available via SOS or WFS;

Tags: air, air quality, air temperature, air_pressure_at_sea_level, air_temperature, altitude, atmosphere, atmospheric, atmospheric pressure, atmospheric pressure measurements, atmospheric temperature, atmospheric winds, boston harbor, buzzards bay, cape cod, chemistry, chlorophyll, circulation, color, concentration, concentration_of_chlorophyll_in_sea_water, conductivity, currents, data, density, direction, direction_of_sea_water_velocity, dominant, dominant_wave_period, earth science, electrical, from, gomoos, gulf of maine, gust, identifier, latitude, level, long island sound, longitude, measurements, meteorology, narragansett bay, ocean, ocean chemistry, ocean circulation, ocean color, ocean currents, ocean observations, ocean temperature, ocean waves, oceanography, oceans, period, pressure, quality, salinity, salinity/density, sea, sea level pressure, sea_water_density, sea_water_electrical_conductivity, sea_water_practical_salinity, sea_water_speed, sea_water_temperature, seawater, sensor, server, significant, significant wave height, significant_height_of_wind_and_swell_waves, sos, speed, static, static pressure, station, station height, surface, surface air temperature, surface waves, surface winds, swell, swells, temperature, time, velocity, visibility, visibility_in_air, water, water temperature, wave, wave period, waves, weather, wind, wind_from_direction, wind_speed, wind_speed_of_gust, winds
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA ERSSTv5 (in situ only), 2Â°, Global, Monthly, 1854-present, Lon+/-180

The Extended Reconstructed Sea Surface Temperature (ERSST) dataset is a global monthly sea surface temperature dataset derived from the International Comprehensive Ocean-Atmosphere Dataset (ICOADS). It is produced on a 2Â° Ã 2Â° grid with spatial completeness enhanced using statistical methods. This monthly analysis begins in January 1854 continuing to the present and includes anomalies computed with respect to a 1971-2000 monthly climatology.

This is the newest version of ERSST, version 5

Tags: &gt, anomalies, anomaly, ccog, centers, data, depth, earth, earth science, environmental, ersstv5, extended, face, global, icoads, information, latitude, lev, longitude, national, ncei, nesdis, noaa, noaa extended reconstructed sea surface temperature (ersst), ocean, ocean temperature, oceans, only, reconstructed, satellite, science, sea, sea surface temperature, sea_surface_temperature, service, situ, sst, ssta, sur, surface, temperature, time
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
SST, Pathfinder Ver 5.3 (L3C), Day, Global, 0.0417Â°, 1981-present, Science Quality (8 Day Composite), Lon0360

This dataset contains 8-day-composites of daytime sea surface temperature (SST) data produced as part of the AVHRR Pathfinder SST Project. The source data were created using Version 5.3 of the Pathfinder algorithm and the file is nearly but not completely compliant with the GHRSST Data Specifications V2.0 (GDS2). Source data were created by the NOAA National Centers for Environmental Information (NCEI). Multi-day composites were created by NOAA CoastWatch-West Coast and NOAA/SWFSC/ERD.

Tags: 10m, advanced, area, atmosphere, atmospheric, atmospheric winds, avhrr, center, centers, climate, coastwatch, coastwatch west coast, composite, cryosphere, data, day, distribution, earth, earth science, environmental, extent, fisheries, flags, fraction, ghrsst, global, group for high resolution sea surface temperature (source data), high, high-resolution, ice, ice distribution, ice extent, information, l2p, l3c, latitude, longitude, marine, national, ncei, nesdis, nmfs, noaa, ocean, ocean temperature, oceans, pathfinder, quality, radiometer, record, resolution, science, science quality, sea, sea ice, sea surface temperature, sea_ice_area_fraction, sea_surface_skin_temperature, service, skin, southwest, speed, sst, surface, surface winds, swfsc, temperature, time, very, vhrr, wind, wind_speed, winds
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Chlorophyll a, North Pacific, NOAA VIIRS, 750m resolution, 2015-present (1 Day Composite), Lon0360

NOAA CoastWatch distributes L3 level chlorophyll a concentration data derived from measurements take by the VIIRS sensor (Visible Infrared Imaging Radiometer Suite) aboard the Suomi-NPP satellite. Chlorophyll values were calculated using NOAA-MSL12 NRT processing with LAND+CLDICE+HIGLINT+HISATZEN+HISOLZEN masking.

Tags: 1-day, 750m, altitude, center, chemistry, chla, chlorophyll, chlorophyll-a, coastwatch, color, composite, concentration, data, day, earth science, erd, fisheries, imager, imager/radiometer, imaging, infrared, latitude, longitude, marine, mass_concentration_chlorophyll_concentration_in_sea_water, national, near, nmfs, noaa, noaa nmfs swfsc erd, north, npp, nrt, ocean, ocean chemistry, ocean color, oceans, orbiting, pacific, partnership, polar, polar-orbiting, radiometer, real, resolution, science, sea, seawater, service, southwest, suite, swfsc, time, viirs, visible, water
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
VIIRSN, Suomi-NPP, Level-3 SMI, Global, 4km, POC, 2012-2014, DEPRECATED OLDER VERSION, 8-Day, Lon0360

THIS VERSION IS DEPRECATED. (Dec 2014) SEE THE NEW erdVH2018 VERSION.
VIIRSN Level-3 Standard Mapped Image (SMI), Global, 4km, Particulate Organic Carbon (POC), 8-Day composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. THIS IS AN EXPERIMENTAL PRODUCT: intended strictly for scientific evaluation by professional marine scientists.

Tags: 4km, 8day, carbon, chemistry, color, composite, concentration, gsfc, image, joint, jpss, latitude, level, level-3, longitude, mapped, mass, mean, nasa, nasa/gsfc obpg, noaa, npoess, npp, obpg, ocean, ocean color, oceans, orbiting, organic, particulate, poc, polar, satellite, sea, seawater, smi, standard, suomi, time, viirs, viirsn, water
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Ship Bell M. Shimada Underway Meteorological Data, Near Real Time

NOAA Ship Bell M. Shimada Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.

IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:
  flag=~"ZZZ........Z.*"
in your query.  
"=~" indicates this is a regular expression constraint.
The 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data. 
The '.'s say to match any character.  
The '*' says to match the previous character 0 or more times.  
See the tutorial for regular expressions at
https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

Tags: air, air temperature, air_pressure, air_temperature, atmosphere, atmospheric, atmospheric pressure, atmospheric pressure measurements, atmospheric temperature, atmospheric water vapor, atmospheric winds, bell, calender, conductivity, control, course, data, date, day, density, direction, earth, earth science, electrical, file, flags, from, fsu, ground, heading, history, humidity, information, latitude, level, longitude, measurements, meteorological, meteorology, oceans, over, platform, pressure, quality, relative, relative_humidity, salinity, salinity/density, sea, sea level pressure, sea_water_electrical_conductivity, sea_water_practical_salinity, sea_water_temperature, seawater, shimada, speed, static, static pressure, surface, surface air temperature, surface winds, surface_downwelling_shortwave_flux_in_air, surface_upwelling_longwave_flux_in_air, temperature, time, vapor, water, wind, wind_from_direction, wind_speed, winds
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
TAO/TRITON, RAMA, and PIRATA Buoys, Monthly, 1987-present, Potential Density Anomaly

This dataset has monthly Potential Density Anomaly (sigma-theta) data from the
TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),
RAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and
PIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )
arrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Monthly data is an average of daily values collected during a month.  A minimum of 15 daily values are required to compute a monthly average.  This dataset contains realtime and delayed mode data (see the 'source' variable).  For more information, see
https://www.pmel.noaa.gov/gtmba/mission .

Tags: anomaly, buoys, centered, code, density, depth, earth science, identifier, instrument, latitude, longitude, monthly, noaa, oceans, pirata, pmel, potential, pressure, quality, rama, salinity, salinity/density, sea, sea_water_sigma_theta, seawater, sigma, sigma-theta, source, station, tao, tao/triton, theta, time, triton, water
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Ship Fairweather Underway Meteorological Data, Quality Controlled

NOAA Ship Fairweather Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.

IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:
  flag=~"ZZZ........Z.*"
in your query.  
"=~" indicates this is a regular expression constraint.
The 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data. 
The '.'s say to match any character.  
The '*' says to match the previous character 0 or more times.  
See the tutorial for regular expressions at
https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

Tags: air, air temperature, air_pressure, air_temperature, atmosphere, atmospheric, atmospheric pressure, atmospheric pressure measurements, atmospheric temperature, atmospheric water vapor, atmospheric winds, calender, conductivity, control, course, data, date, day, density, direction, earth, earth science, electrical, fairweather, file, flags, from, fsu, ground, heading, history, humidity, information, latitude, level, longitude, measurements, meteorological, meteorology, oceans, over, platform, pressure, quality, relative, relative_humidity, salinity, salinity/density, sea, sea level pressure, sea_water_electrical_conductivity, sea_water_practical_salinity, sea_water_temperature, seawater, speed, static, static pressure, surface, surface air temperature, surface winds, temperature, time, vapor, water, wind, wind_from_direction, wind_speed, winds
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Photosynthetically Available Radiation, Aqua MODIS, NPP, Gulf of Mexico, 2002-2012 (14 Day Composite), Lon0360

MODIS measures photosynthetically available radiation that may be used to mode primary productivity.  THIS IS AN EXPERIMENTAL PRODUCT: intended strictly for scientific evaluation by professional marine scientists.

Tags: 14-day, active, altitude, aqua, available, coastwatch, coastwatch (https://coastwatch.noaa.gov/), composite, degrees, downwelling_photosynthetic_photon_radiance_in_sea_water, earth science, gulf, insolation, latitude, longitude, mexico, modis, noaa, npp, ocean, ocean optics, oceans, optics, par, photosynthetically, radiation, time, wcn
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Relative Bycatch:Target Catch Probability Product (daily), EcoCast Project, Lon0360

The Relative Bycatch:Target Catch Probability Product is produced using a data-driven, multi-species predictive habitat modelling framework. First, boosted regression tree models were fit to determine the habitat preferences of the target species, broadbill swordfish (Xiphias gladius), and three bycatch-sensitive species that interact with the California drift gillnet fishery (leatherback sea turtle (Dermochelys coricea), blue shark (Prionace glauca), California sea lion (Zalophus californianus)). Then, individual species weightings were set to reflect the level of bycatch and management concern for each species. Prediction layers for each species were then combined into a single surface by multiplying the layer by the species weighting, summing the layers, and then re-calculating the range of values in the final predictive surface from -1 (low catch & high bycatch probabilities) to 1 (high catch & low bycatch probabilities).

Tags: animals/vertebrates, biological classification, blue shark, california, california sea lion, carnivores, dermochelys coricea, dynamic ecosystem management, earth science, ecocast, environmental governance/management, environmental regulations, environmental sustainability, fish, human dimensions, latitude, leatherback sea turtle, longitude, mammals, marine environment monitoring, noaa, ocean, oceans, prionace glauca, ray-finned fishes, reptiles, seals/sea lions/walruses, sharks/rays/chimaeras, southwest fisheries, sustainability, swfsc, time, turtles, zalophus californianus
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Wind, Metop-B ASCAT, 0.25Â°, Global, Near Real Time, 2013-present, Divergence and Modulus (Monthly)

NOAA CoastWatch distributes near real time divergence and modulus wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-B satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a monthly composite.)

Tags: advanced, altitude, ascat, coast, coastwatch, data, degrees, divergence, divergence_of_wind, earth science, eumetsat, european, exploitation, global, latitude, longitude, meteorological, metop, near, near real time, noaa, noaa nmfs swfsc erd, node, nrt, ocean, ocean winds, oceans, organisation, qbdivw, real, satellites, scatterometer, surface, surface winds, time, wcn, west, wind, winds
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Chlorophyll-a, Terra MODIS, OSU DB, West US, 2006-2007, EXPERIMENTAL (14 Day Composite)

NOAA CoastWatch distributes chlorophyll-a concentration data from NASA's Terra satellite.  Measurements are gathered by the Moderate Resolution Imaging Spectroradiometer (MODIS) carried aboard the spacecraft.  Data is received from the satellite and processed to level 2 by the Oregon State University (OSU) College of Oceanic and Atmospheric Sciences (COAS). THIS IS AN EXPERIMENTAL PRODUCT: intended strictly for scientific evaluation by professional marine scientists.

Tags: 14-day, altitude, chemistry, chlorophyll, chlorophyll-a, coas, coastwatch (https://coastwatch.noaa.gov/), color, concentration, concentration_of_chlorophyll_in_sea_water, day, degrees, earth science, experimental, latitude, longitude, modis, ocean, ocean chemistry, ocean color, oceans, osu, sea, seawater, terra, time, water, west
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Ship Henry B. Bigelow Underway Meteorological Data, Near Real Time

NOAA Ship Henry B. Bigelow Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.

IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:
  flag=~"ZZZ........Z.*"
in your query.  
"=~" indicates this is a regular expression constraint.
The 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data. 
The '.'s say to match any character.  
The '*' says to match the previous character 0 or more times.  
See the tutorial for regular expressions at
https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

Tags: air, air temperature, air_pressure, air_temperature, atmosphere, atmospheric, atmospheric pressure, atmospheric pressure measurements, atmospheric temperature, atmospheric water vapor, atmospheric winds, bigelow, calender, conductivity, control, course, data, date, day, density, direction, earth, earth science, electrical, file, flags, from, fsu, ground, heading, henry, history, humidity, information, latitude, level, longitude, measurements, meteorological, meteorology, oceans, over, platform, pressure, quality, relative, relative_humidity, salinity, salinity/density, sea, sea level pressure, sea_water_electrical_conductivity, sea_water_practical_salinity, sea_water_temperature, seawater, speed, static, static pressure, surface, surface air temperature, surface winds, temperature, time, vapor, water, wind, wind_from_direction, wind_speed, winds
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
CalCOFI Larvae Counts, Scientific Names DH to EC

Fish larvae counts and standardized counts for larvae captured in CalCOFI icthyoplankton nets (primarily vertical [Calvet or Pairovet], oblique [bongo or ring nets], and surface tows [Manta nets]). Surface tows are normally standardized to count per 1,000 m3 strained. Oblique tows are normally standardized to count per 10 m2 of surface sampled. This table includes all tows by species, even if zero larvae were captured for the species, i.e., negative tows. The "Larvae Counts Positive Tows" table includes only tows where one or more larvae were captured for the species selected by the user.

Tags: atmosphere, biology, biosphere, calcofi, earth science, environment, latitude, longitude, ocean, time
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
TAO/TRITON, RAMA, and PIRATA Buoys, 5-Day, 2000-present, Total Heat Flux

This dataset has 5-day Total Heat Flux data from the
TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),
RAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and
PIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )
arrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  5-day data is an average of daily values collected during consecutive five day intervals.  A minimum of 2 daily values are required to compute a 5-day average.  This dataset contains realtime and delayed mode data (see the 'source' variable).  For more information, see
https://www.pmel.noaa.gov/gtmba/mission .

Tags: 5-day, atmosphere, atmospheric radiation, buoys, centered, day, depth, earth science, flux, heat, heat flux, identifier, latitude, longitude, noaa, ocean heat budget, oceans, pirata, pmel, quality, rama, station, surface_downward_heat_flux_in_sea_water, tao, tao/triton, time, total, triton
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Diffuse Attenuation K490, Aqua MODIS, NPP, Gulf of Mexico, 2002-2012 (14 Day Composite)

NASA distributes Diffuse Attenuation Coefficient at 490 nm Wavelength data from NASA's Aqua satellite.  Measurements are gathered by the Moderate Resolution Imaging Spectroradiometer (MODIS) carried aboard the spacecraft.

Tags: 14-day, altitude, aqua, attenuation, attenuation/transmission, coastwatch, coastwatch (https://coastwatch.noaa.gov/), coefficient, color, composite, day, degrees, diffuse, earth science, gulf, k490, latitude, longitude, mexico, modis, noaa, npp, ocean, ocean color, ocean optics, oceans, optics, time, transmission, wcn
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
HadISST SST State-Space Components, 1870-present (Monthly)

State-space components from analysis of HadISST data by Roy Mendelssohn.

The SST data are taken from the Met Office Marine Data Bank (MDB), which from 1982 onwards also includes data received through the Global Telecommunications System (GTS). In order to enhance data coverage, monthly median SSTs for 1871-1995 from the Comprehensive Ocean-Atmosphere Data Set (COADS) (now ICOADS) were also used where there were no MDB data.

HadISST1 temperatures are reconstructed using a two stage reduced-space optimal interpolation procedure, followed by superposition of quality-improved gridded observations onto the reconstructions to restore local detail. SSTs near sea ice are estimated using statistical relationships between SST and sea ice concentration.

Data restrictions: for academic research use only.

Tags: centre, climate, components, cycle, degree, earth science, hadisst, hadley, latitude, longitude, met, monthly, noaa swfsc erd, ocean, ocean temperature, oceans, office, research, resolution, sea, sea surface temperature, sea_surface_temperature, seasonal, space, sst, state, state-space, surface, temperature, time, trend, version
Organization: National Oceanic and Atmospheric Administration, Department of Commerce