AndreaBozzo/ceres-open-data-index huggingface dataset:
NOAA Climate Data Record (CDR) of AVHRR Polar Pathfinder Extended (APP-X) Cryosphere, Version 1 (Version Superseded)

*Note: This dataset version has been superseded by a newer version. It is highly recommended that users access the current version. Users should only use this version for special cases, such as reproducing studies that used this version.* NOAA Climate Data Record (CDR) of the extended AVHRR Polar Pathfinder (APP-x) cryosphere contains 19 geophysical variables over the Arctic and Antarctic for the period 1982 - present. All of them have undergone various degrees of validation, though not all are considered CDR quality. The variables are (those considered by the developers to be CDR-quality are identified with an asterisk): Surface temperature, all-sky, snow, ice, and land* Surface albedo, all-sky* Sea ice thickness* Surface type Cloud mask* Cloud particle thermodynamic phase Cloud optical depth Cloud particle effective radius Cloud temperature Cloud pressure Cloud type Downwelling shortwave radiation at the surface* Downwelling longwave radiation at the surface* Upwelling shortwave radiation at the surface* Upwelling longwave radiation at the surface* Upwelling shortwave radiation at the TOA* Upwelling longwave radiation at the TOA* Shortwave cloud radiative forcing at the surface Longwave cloud radiative forcing at the surface APP-x data products are mapped to a 25 km EASE grid at two local solar times: 04:00 and 14:00 for the Arctic, and 02:00 and 14:00 for the Antarctica. Using local solar time rather than standard UTC times provides better information on diurnal differences at all locations.

Tags: 10 km - < 50 km or approximately .09 degree - < .5 degree, advanced very high resolution radiometer, antarctica, arctic, atmospheric - surface - air temperature, atmospheric - surface - surface radiation budget (including solar irradiance), atmospheric - upper-air - cloud properties, avhrr, center for satellite applications and research, continent, cryosphere, doc/noaa/nesdis/ncdc, doc/noaa/nesdis/star, earth science, geographic region, land surface, national climatic data center, nesdis, noaa, noaa climate data record (cdr) program, noaa onestop project, noaa poes, noaa polar orbiting environmental satellites, oceanic - surface - sea ice, oceanic - surface - sea-surface temperature, satellite, sea surface, terrestrial - albedo, u.s. department of commerce, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Aerial Imagery over U.S. Coastal Areas collected by the NOAA Office for Coastal Management dating from 1944 to Present

This aerial imagery dataset consists of high resolution (1 inch up to 1 meter) true color, infrared, 4-band, black and white, and hyperspectral  ortho-rectified mosaic tiles collected in coastal areas to support shoreline and coastal mapping efforts. This data is created as a product from the NOAA Office for Coastal Management (OCM) from data collected by the NOAA National Geodetic Survey (NGS), the NOAA Office for Coastal Management (OCM) and the US Army Corps of Engineers (USACE). The source imagery was acquired from airplane flights from across the United States since 1944 and is an ongoing project. Ortho-rectified mosaic tiles are an ancillary product supporting the Interagency Working Group - Ocean and Coastal Mapping with a goal of increasing support for multiple uses of the data. Most of the data was collected through NOAA NGS's Coastal Mapping Program (CMP) and typically has a ground sample distance (GSD) for each pixel of 0.50 m, though more recent data may have a 0.35 m or 0.25 m GSD. Data collected by the US Army Corps of Engineers (USACE) is typically higher resolution with 0.05 m GSD. The rest of the data was acquired by OCM. OCM has an agreement with NGS and the USACE to archive the imagery that is delivered to OCM. The data set includes Geotiff (.tif) or ERDAS Imagine .img format images with associated GIS tile index shapefiles and a manifest file.

Tags: 16-bit radiometric resolution, 32-bit radiometric resolution, 4-channel imagery, 8-bit radiometric resolution, aerial imagery, aircraft, black and white imagery, cameras, coastal and hydraulics laboratory, color infrared imagery, continent, digital orthophotography, doc/noaa/nesdis/ncei, doc/noaa/nos/ngs, doc/noaa/nos/ocm, dod/usarmy/usace/chl, earth remote sensing instruments, earth science, hyperspectral imagery, infrared imagery, infrared wavelengths, national centers for environmental information, national geodetic survey, national ocean service, nesdis, noaa, north america, office of coastal management, orthoimagery, panchromatic imagery, passive remote sensing, photon/optical detectors, spectral/engineering, true color (red green blue) imagery, u. s. army corps of engineers, u. s. department of defense, u.s. army, u.s. department of commerce, united states of america, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA GOES-R Series Advanced Baseline Imager (ABI) Level 2 Fire/Hot Spot Characterization (FDC)

The GOES-R Advanced Baseline Imager (ABI) Fire (HSC) product contains four images, one in the form of a fire mask, and the other three with pixel values identifying fire temperature, fire area, and fire radiative power. Pixel values in the fire mask image identify a fire category and diagnostic information associated with algorithm execution. The six fire categories include: Good quality or temporally filtered good quality fire pixel; Saturated fire pixel or temporally filtered saturated fire pixel; Cloud contaminated or temporally filtered cloud contaminated fire pixel; High probability or temporally filtered high probability fire pixel; Medium probability or temporally filtered high probability fire pixel; Low probability or temporally filtered high probability fire. Temporally filtered fire pixels are those resulting from fire pixels that are in close proximity in both space and time. The product includes data quality information that provides an assessment of fire detection for on-earth pixels. The units of measure for the Fire (HSC) product quantities are for Mask: dimensionless; for Temperature: kelvin; for Area: square kilometers; for Radiative Power: megawatts. The Fire (HSC) product image is produced on the ABI fixed grid at 2 km resolution for Full Disk and CONUS coverage regions from GOES East and West. Product data is produced under the following conditions: Existence of land; Geolocated source data to local zenith angles of 80 degrees, solar zenith angles between 10 and 180 degrees, and sunglint angles greater than 10 degrees.

Tags: 1 km - < 10 km or approximately .01 degree - < .09 degree, 1 minute - < 1 hour, abi, abi-l2-fdc, abil2pfdci, abil2pfdcr, abil2pfdct, abil2prod, advanced baseline imager, atlantic ocean, biosphere, center for satellite applications and research, central america, continent, doc/noaa/nesdis/ncdc, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ospo, doc/noaa/nesdis/star, earth science, ecological dynamics, equatorial, fire dynamics, fire ecology, fire occurance, geographic region, geostationary operational environmental satellite 16, geostationary operational environmental satellite 17, geostationary operational environmental satellite 18, geostationary operational environmental satellite 19, geostationary operational environmental satellites, goes, goes-16, goes-17, goes-18, goes-19, gov.noaa.class:grabiprd, grabiprd, human dimensions, land surface, mid-latitude, national centers for environmental information, national climatic data center, natural hazards, nesdis, noaa, north america, northern hemisphere, ocean, office of satellite and product operations, pacific ocean, south america, southern hemisphere, terrestrial - fire disturbance, tropics, u.s. department of commerce, united states of america, vertical location, western hemisphere, wildfires
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Quality Controlled Local Climatological Data (QCLCD) Publication

Quality Controlled Local Climatological Data (QCLCD) contains summaries from major airport weather stations that include a daily account of temperature extremes, degree days, precipitation amounts and winds. Also included are the hourly precipitation amounts and abbreviated 3-hourly weather observations. The source data is global hourly (DSI 3505) which includes a number of quality control checks. The local climatological data annual file is produced from the National Weather Service (NWS) first and second order stations. The monthly summaries include maximum, minimum, and average temperature, temperature departure from normal, dew point temperature, average station pressure, ceiling, visibility, weather type, wet bulb temperature, relative humidity, degree days (heating and cooling), daily precipitation, average wind speed, fastest wind speed/direction, sky cover, and occurrences of sunshine, snowfall and snow depth. The annual summary with comparative data contains monthly and annual averages of the above basic climatological data in the meteorological data for the current year section, a table of the normals, means, and extremes of these same data, and sequential table of monthly and annual values of average temperature, total precipitation, total snowfall, and total degree days. Also included is a station location table showing in detail a history of, and relative information about, changes in the locations and exposure of instruments.

Tags: air quality, american samoa, atlantic ocean, atmosphere, atmospheric radiation, atmospheric temperature, atmospheric water vapor, atmospheric winds, caribbean sea, central pacific ocean, cloud amount/frequency, cloud ceiling, cloud properties, clouds, continent, cryosphere, degree days, dew point temperature, doc/noaa/nesdis/ncdc, doc/noaa/nesdis/ncei, earth science, guam, humidity, land surface, marshall islands, maximum/minimum temperature, micronesia, national centers for environmental information, national climatic data center, nesdis, noaa, north america, north atlantic ocean, ocean, pacific ocean, palau, precipitation, precipitation amount, precipitation anomalies, puerto rico, sea ice, snow depth, stratosphere, sunshine, surface temperature, surface winds, temperature anomalies, troposphere, u.s. department of commerce, united states of america, vertical location, virgin islands, visibility, water vapor indicators, western pacific ocean
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Monthly U.S. Climate Divisional Database (NClimDiv)

In March 2015, data for thirteen Alaskan climate divisions were added to the NClimDiv data set. Data for the new Alaskan climate divisions begin in 1925 through the present and are included in all monthly updates. Alaskan climate data include the following elements for divisional and statewide coverage: average temperature, maximum temperature (highs), minimum temperature (lows), and precipitation. The Alaska NClimDiv data were created and updated using similar methodology as that for the CONUS, but with a different approach to establishing the underlying climatology. The Alaska data are built upon the 1971-2000 PRISM averages whereas the CONUS values utilize a base climatology derived from the NClimGrid data set. In January 2025, the National Centers for Environmental Information (NCEI) began summarizing the State of the Climate for Hawaii. This was made possible through a collaboration between NCEI and the University of Hawaii/Hawaii Climate Data Portal and completes a long-standing gap in NCEI's ability to characterize the State of the Climate for all 50 states. NCEI maintains monthly statewide, divisional, and gridded average temperature, maximum temperatures (highs), minimum temperature (lows) and precipitation data for Hawaii over the period 1991-2025.
As of November 2018, NClimDiv includes county data and additional inventory files
In March 2015, data for thirteen Alaskan climate divisions were added to the NClimDiv data set. Data for the new Alaskan climate divisions begin in 1925 through the present and are included in all monthly updates. Alaskan climate data include the following elements for divisional and statewide coverage: average temperature, maximum temperature (highs), minimum temperature (lows), and precipitation. The Alaska NClimDiv data were created and updated using similar methodology as that for the CONUS, but with a different approach to establishing the underlying climatology. The Alaska data are built upon the 1971-2000 PRISM averages whereas the CONUS values utilize a base climatology derived from the NClimGrid data set.

As of November 2018, NClimDiv includes county data and additional inventory files.

Tags: air temperature, atmosphere, atmospheric - surface - air temperature, atmospheric - surface - precipitation, atmospheric temperature, continent, degree days, doc/noaa/nesdis/ncdc, doc/noaa/nesdis/ncei, earth science, fixed observation stations, land surface, maximum/minimum temperature, monthly climatology, national centers for environmental information, national climatic data center, nesdis, noaa, north america, precipitation, precipitation amount, precipitation anomalies, rain gauges, surface temperature, temperature anomalies, temperature tendency, thermometers, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Commercial (Comm) Radio Occultation (RO) Environmental Data Record (EDR) from UCAR Using Spire Global Subsidiary Data

This dataset contains Commercial (Comm) Radio Occultation (RO) environmental data from UCAR using Spire Global Subsidiary data, which is an established method for remote sounding of the atmosphere. The technique uses an instrument in low-Earth orbit (LEO) to track radio signals from Global Navigation Satellite System (GNSS) transmitters as they rise or set through the atmosphere. The occulting atmosphere refracts or bends the radio signals, and given the precise positions of both satellites, the bending angle can be deduced from the time delay of the signal. Collecting these measurements for a full occultation through the atmosphere provides a vertical profile of bending angles, from which profiles of physical quantities such as temperature, humidity, and ionospheric electron density can be retrieved. These data primarily feed numerical weather prediction (NWP) models that support weather forecasts, and also support space weather analysis/prediction at NOAA.

Tags: atmosphere, atmospheric composition, atmospheric temperature, constellation observing system for meteorology, cosmic data analysis and archive center, cubesats, doc/noaa/nesdis/ncei, earth science, geographic region, global, global navigation satellite system radio occultation (clarreo), gnss-ro receiver, ionosphere, ionosphere and climate, ionosphere/magnetosphere dynamics, low earth orbit (leo), national centers for environmental information, nesdis, noaa, noaa central computer facility, sun-earth interactions, surface, u.s. department of commerce, ucar/cosmic/cdaac, university corporation for atmospheric research, upper air temperature, upper atmosphere, vertical location, vertical profiles
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Deepwater Horizon (DWH) Response data for the Deepwater Horizon Response and Assessment in the Gulf of Mexico, dating from 2010-04-21 to 2011-09-25

These Deepwater Horizon (DWH) Response data were gathered and utilized during the Response and Assessment phases of the Deepwater Horizon oil spill in the Gulf of Mexico. These datasets were collected in the Gulf of Mexico in support of the Response effort and incorporated into NOAA's DIVER database. It includes discrete samples and field photographs. The data were compiled by the NOAA Office of Response and Restoration (OR&R) and Trustees in the Data Integration, Visualization, Exploration, and Reporting (DIVER) data warehouse prior to being archived by the NOAA National Centers for Environmental Information (NCEI). The collection of files include environmental data used to determine the extent and magnitude of injury to the Gulf of Mexico ecosystem from the Deepwater Horizon oil spill. These data were used as part of the Programmatic Damage Assessment and Restoration Plan (PDARP) developed through the Natural Resource Damage Assessment (NRDA) conducted as a result of the April 20, 2010 explosion and subsequent sinking of the Deepwater Horizon offshore drilling rig in the Gulf of Mexico, about 40 miles (60 km) southeast off the Louisiana coast, that led to a major oil spill in the region.

Tags: acoustics, adcp, alabama, altimeter, and reporting, and restoration program, bp plc, contaminant levels/spills, contaminants, continent, convent, ctd, damage assessment, darrp, data integration, deepwater horizon, disaster response, diver, doc/noaa/nesdis/ncei, doc/noaa/nos/orr, dwh, earth science, eco cdom fluorometer, eco-afl/fl fluorometer, eco-ntu turbidity meter, environmental impacts, es-38-b transducer, exploration, filter, florida, gas explosions/leaks, holiday chouest hc1 seeps aug 25-sep 13 2011, human dimensions, light measurements, louisiana, macondo prospect, marine environment monitoring, mc 252, metals, misc, mississippi, mississippi canyon block 252, national centers for environmental information, national ocean service, natural resource damage assessment, navigation, nesdis, net, noaa, north america, nrda, oceanography, oceans, office of response and restoration, oil, oil spills, open water, organic, pah, pdarp, petroleum hydrocarbons, point resolution, pollution, programmatic damage assessment and restoration plan, radiometer, remediation, sarah bordelon sb10 seeps/acoustics aug 23-sep 12 2011, sbe 3 temperature sensor, sbe 43 dissolved oxygen sensor, sbe 4c conductivity sensor, seapollution, sediment, social behavior, strain gauge pressure sensor, svol, terrestrial hydrosphere, texas, total pah, u.s. department of commerce, united states of america, uv aquatracka fluorometer, visualization, vol, water chemistry, water quality/water chemistry, waterpollution, wes bordelon wb9 seeps aug 26-sep 16 2011
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Ground-Based Global Positioning System (GPS) Meteorology Integrated Precipitable Water Vapor (IPW)

The Ground-Based Global Positioning System (GPS) Meteorology Integrated Precipitable Water Vapor (IPW) data set measures atmospheric water vapor using ground-based GPS receivers. The data contain observations from several hundred locations around the globe every 30 minutes from 2002-05-01 to 2016-11-28. However, most locations lie within the continental United States. The data set was formed in response to the need for improved moisture observations to support weather forecasting, climate monitoring, and research. The data set contains total precipitable water estimates, GPS total signal delay, GPS hydrostatic signal delay, GPS wet signal delay, surface temperature, surface pressure, mean-weighted surface temperature, and the wet delay mapping function. The GPS-IPW network processes data from both NOAA and other agency CORS (Continuously Operating Reference Sites) sites. All sites are equipped with a GPS receiver and many are equipped with a surface meteorological instrumentation package. GPS satellite observation are combined with GPS satellite orbit and earth orientation parameters to estimate GPS signal delay (Zenith Total Delay -- ZTD). Signal delays are then combined with surface meteorological information are used to estimate total precipitable water. For sites without surface meteorology sensors, data from nearby ASOS (Automated Surface Observing System) systems were used. Data set variables and their resolution: total precipitable water; 0.001 m, GPS total signal delay; 0.001m, GPS hydrostatic signal delay; 0.001m, GPS wet signal delay; 0.001m, surface temperature; 0.1 K, surface pressure; 0.1 hpa, mean-weighted surface temperature; 0.1 K, wet delay mapping function; 0.1 (dimensionless). Late updated in November 2016 with no plans for updating at this time due to funding.

Tags: air pressure, air temperature, atmosphere, atmospheric water vapor, doc/noaa/nesdis/ncei, doc/noaa/oar/esrl/gsd/, earth science, earth system research laboratory, global positioning system meteorology experiment, global systems division, gnss receiver, gps, gps/met, in situ land-based platforms, national centers for environmental information, nesdis, noaa, oar, point resolution, precipitable water, troposphere, u.s. department of commerce, vertical location, water vapour
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Rapid Refresh (RAP) [13 km]

The Rapid Refresh (RAP) numerical weather model took the place of the Rapid Update Cycle (RUC) on May 1, 2012. Run by the National Centers for Environmental Prediction (NCEP), RAP runs with two versions. The first generates weather data on a 13-km (8-mile) resolution horizontal grid and the second, the High-Resolution Rapid Refresh (HRRR), generates data down to a 3-km (2-mile) resolution grid for smaller regions of interest. RAP forecasts are generated every hour with forecast lengths going out 18 hours with a 1 hour temporal resolution. Multiple data sources go into the generation of RAP forecasts: commercial aircraft weather data, balloon data, radar data, surface observations, and satellite data. This dataset contains a 13 km horizontal resolution Lambert Conformal grid covering the Continental United States (CONUS) domain.

Tags: 10 km - < 50 km or approximately .09 degree - < .5 degree, air quality, air temperature, altitude, atmosphere, atmospheric pressure, atmospheric pressure measurements, atmospheric stability, atmospheric temperature, atmospheric water vapor, atmospheric winds, boundary layer, boundary layer winds, continent, convection, dew point temperature, doc/noaa/nesdis/ncdc, doc/noaa/nesdis/ncei, earth science, freezing rain, geopotential height, humidity, ice pellets, land surface, land surface temperature, liquid precipitation, national centers for environmental information, national climatic data center, nesdis, noaa, nomads, north america, ocean temperature, oceans, planetary boundary layer height, potential temperature, precipitation, precipitation rate, pressure thickness, rain, sea level pressure, sea surface, sea surface temperature, skin temperature, sleet, snow, snow depth, snow/ice, solid precipitation, stratosphere, surface pressure, surface temperature, surface thermal properties, surface winds, terrestrial hydrosphere, the noaa operational model archive and distribution system, total precipitable water, tropopause, troposphere, u.s. department of commerce, united states of america, upper air temperature, upper level winds, vertical location, vertical wind velocity/speed, visibility, vorticity, water vapor, water vapor indicators, water vapor profiles, wind dynamics, wind profiles
Organization: National Oceanic and Atmospheric Administration, Department of Commerce