AndreaBozzo/ceres-open-data-index huggingface dataset:
Typical Meteorological Year (Version Superseded)

This dataset has been superseded by newer versions. Please see Associated Resources for more information. Typical Meteorological Year (TMY) is a digital data set archived at the National Centers for Environmental Information (NCEI). Solar radiation and surface meteorological data recorded on an hourly basis are included in this file. These data cover recording periods from January 1953 through December 1975 for 26 data rehabilitation stations, although the recording periods for some stations may differ. The TMY files comprise specific calendar months selected from the entire recorded span for a given station as the most representative or typical, for that station and month. For example, a single January is chosen from the 23 Januarys for which data are recorded from 1953 through 1975 on the basis of its being most nearly like the composite of all 23 Januarys. Thus, for a given station, January of 1967 might be selected as the typical meteorological month after all of the other 22 Januarys. This process is pursued for each of the other calendar months, and the twelve months chosen then constitute the TMY. The major parameters in this file are solar time, extraterrestrial radiation (RAD), direct radiation, diffuse radiation, net radiation, tilt radiation, observed radiation, engineering corrected radiation, standard year corrected radiation, sunshine, sky condition, visibility, weather, pressure, temperature and snow cover.

Tags: air quality, air temperature, anemometers, atmosphere, atmospheric pressure, atmospheric pressure measurements, atmospheric radiation, atmospheric temperature, atmospheric winds, ceilometers, cloud amount, cloud ceiling, cloud properties, clouds, continent, cryosphere, dew point temperature, doc/noaa/nesdis/ncdc, doc/noaa/nesdis/ncei, earth science, land surface, metadata_not_published, national centers for environmental information, national climatic data center, nesdis, net radiation, noaa, north america, precipitation, pyranometers, snow, snow cover, snow/ice, solar radiation, solid precipitation, sunshine, surface temperature, surface winds, thermometers, troposphere, u.s. department of commerce, united states of america, vertical location, visiblity
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
ABoVE LVIS L1B Geolocated Return Energy Waveforms V001

This data set contains return energy waveform data over Alaska and Western Canada measured by the NASA Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of NASA's Terrestrial Ecology Program campaign, the Arctic-Boreal Vulnerability Experiment (ABoVE).

Tags: earth-science, infrared-wavelengths, spectral-engineering
Organization: National Aeronautics and Space Administration
FY 2024 Disability Compensation Recipients by County

This report provides county-level estimates of the number of Veterans receiving VA Disability Compensation benefits at the close of fiscal year 2024. It includes the Veterans’ total service-connected disability (SCD) rating, age group, and sex. Blank values represent small cell counts that have been suppressed to protect the identity of Veterans as well as some cell counts that have been suppressed in order to prevent the determination of the values of the aforementioned small cell counts. Some categories may not sum to the total due to missing information (e.g., age, sex, etc.).

The availability of sex and age data is limited as some records have no sex or birthdate available. In the table, there are 709 Veterans whose sex is not available and 25 Veterans whose age is not available.

The number of Veterans who were disability compensation recipients during FY 2024 but were no longer disability compensation recipients at the end of FY 2024 is 142,756. These Veterans are not included in the table.

Source: Department of Veterans Affairs, Office of Enterprise Integration, USVETS24 data and Veterans Benefits Administration VETSNET FY 2024 compensation data.

Prepared by National Center for Veterans Analysis & Statistics, www.va.gov/vetdata.

Tags: 2024, 2024-comp, 2024-compensation, 2024-disability-comp, 2024-disability-compensation, comp, compensation, disability-comp, disability-compensation, fy-2024, fy-2024-comp, fy-2024-compensation, fy-2024-disability, fy-2024-disability-comp, fy-2024-disability-compensation, fy-24, fy-24-comp, fy-24-compensation, fy-24-disability, fy-24-disability-comp, fy-24-disability-compensation, fy2024, fy2024-comp, fy2024-compensation, fy2024-disability, fy2024-disability-comp, fy2024-disability-compensation, fy24, fy24-comp, fy24-compensation, fy24-disability, fy24-disability-comp, fy24-disability-compensation
Organization: Department of Veterans Affairs
GHRSST Level 2P Gridded Global Subskin Sea Surface Temperature from WindSat polarimetric radiometer on the Coriolis satellite (GDS version 1)

This dataset contains sea surface temperature derived from observations made by the WindSat Polarimetric Radiometer developed by the Naval Research Laboratory (NRL) and launched on 6 January 2003 aboard the Department of Defense Coriolis satellite. This radiometer is well-calibrated and contains the lower frequency channels required for SST retrievals. The radiometer operates in 5 discrete bands: 6.8, 10.7, 18.7, 23.8 and 37.0 GHz. The 10.7, 18.7 and 37.0 GHz bands are fully polarimetric whereas the 6.8 and 23.8 GHz bands have only dual polarization. The feedhorns of each frequency band trace out different arcs along the bench, therefore the Earth Incidence Angles (EIA) are different for each frequency band. Unlike previous radiometers, the WindSat sensor takes observations during both the forward and aft looking scans. This makes the WindSat geometry of the earth view swath quite different and significantly more complicated than the other passive microwave sensors. The Remote Sensing Systems (RSS, or REMSS) WindSat dataset is the only one available that uses both the fore and aft look directions which results in a wider swath and more complicated swath geometry visible in the provided maps. RSS produces these SST data for the Group for High Resolution Sea Surface Temperature (GHRSST) Project. In the data processing chain, a first stage produces a near-real-time (NRT) dataset (identified with a "rt" within the file name) which is made as available as soon as possible. A later second stage produces a final dataset (identified by "v7" within the file name) that contains more data than the NRT version.  In this dataset, both ascending (evening time) and descending (morning time) gridded orbital passes are packaged into the same daily file.Although the product designation is "L2P_GRIDDED" it is in actuality a Level 3 Collated (L3C) product as defined in the GHRSST Data Processing Specification (GDS) version 2.0. Its "L2P_GRIDDED" name derives from a deprecated specification in the early Pilot Project phase of GHRSST (pre 2008) and has remained for file naming continuity.

Tags: oceanography
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Occurrence of Novel Human Tomato Brown Rugose Fruit Virus and Conventional Microbial Source Tracking Genetic Markers in a Hawaiian Coupled Stream-Beach System

Dataset includes water quality measurements from coupled stream-beach system. 

This dataset is associated with the following publication:
Lowry, S., A. Diedrich, E. Lum, and O. Shanks. Occurrence of novel human tomato brown rugose fruit virus and conventional microbial source tracking genetic markers in a Hawaiian coupled stream-beach system.   Environmental Science: Processes & Impacts. Royal Society of Chemistry, Cambridge,  UK, 28(1): 215-229, (2026).

Tags: dpcr, fecal-indicator-bacteria, fecal-indictor-bacteria, microbial-source-tracking, qpcr, tomato-brown-rugose-fruit-virus
Organization: U.S. Environmental Protection Agency
Supplemental Geospatial Layers

Geospatial datasets associated with manuscript. Includes boundaries, C-CAP land cover, Enhanced Vegetative Index (EVI), hurricane exposures, tornado exposures, storm surge impact areas, and sea level rise scenarios (1-ft and 2-ft). 

This dataset is associated with the following publications:
Buck, K., C. Van Der Wiele, J. Bousquin, R. Polinsky, R. Ennis, Z. Black, M. McDaniel, and D. Parker. Understanding the Effects of Climate Change on Coastal Wetlands: Implications for Managing Federal Mitigation Banks on Florida’s [USA] Gulf Coast.   WETLANDS. The Society of Wetland Scientists, McLean, VA, USA, 45: 107, (2025).
Buck, K., J. Bousquin, C. Van Der Wiele, Z. Black, D. Parker, and R. Polinsky. Investigating the impact of sea level rise on coastal wetland mitigation banks and their potential for ecological and coastal community benefits. Presented at Florida Association of Mitigation Bankers (FAMB) 2024 Mitigation Banking Workshop, St. Augustine, FL, USA, 10/17/2024 - 10/18/2024.

Tags: governance, mitigation-bank, remote-sensing
Organization: U.S. Environmental Protection Agency
Department of Transportation Inventory of Artificial Intelligence Use Cases

This dataset is a list of Department of Transportation (DOT) Artificial Intelligence (AI) use cases.

The Advancing American AI Act, Executive Order (EO) 13960, Promoting the Use of Trustworthy Artificial Intelligence in the Federal Government, and Office of Management and Budget (OMB) Memorandum M-25-21, Accelerating Federal Use of AI through Innovation, Governance, and Public Trust, require Federal agencies to report on their use of artificial intelligence (AI).

Tags: ai-use-case, artificial-intelligence, eo-13960, inventory, trustworthy-ai
Organization: Department of Transportation
NOAA Climate Data Record (CDR) of VIIRS Surface Reflectance, Version 1

This dataset contains gridded daily surface reflectance and brightness temperatures derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) sensors onboard NOAA polar orbiting satellites. Surface reflectance from VIIRS channels I1, I2, and I3 (at 640, 865, and 1610 nm) are a NOAA Climate Data Record (CDR). The dataset spans from 2014 to 10 days before the present, and was processed from the VIIRS 375m and 750m Earth view Sensor Data Record (SDR) datasets. VIIRS surface reflectance observations are packaged into data arrays with latitude and longitude dimensions of 3600 x 7200 covering the globe at 0.05 degree spatial resolution. This dataset is one of the Land Surface CDR products produced by the NASA Goddard Space Flight Center (GSFC) and the University of Maryland (UMD). Other Land Surface CDR products include the Normalized Difference Vegetation Index (NDVI), Leaf Area Index (LAI) and Fraction of Absorbed Photosynthetically Active Radiation (FAPAR). The dataset is in the netCDF-4 file format following ACDD and CF Conventions. The dataset is accompanied by algorithm documentation, data flow diagram and source code for the NOAA CDR Program.

Tags: brightness temperature, doc/noaa/nesdis/ncei, earth science, geographic region, global land, goddard space flight center, infrared wavelengths, joint polar satellite system (jpss), land surface, nasa, nasa/gsfc, national centers for environmental information, nesdis, noaa, noaa climate data record (cdr) program, noaa onestop project, reflectance, spectral/engineering, suomi national polar-orbiting partnership, suomi-npp, surface radiative properties, u.s. department of commerce, umd, university of maryland, viirs, visible-infrared imager-radiometer suite
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Climate Data Record for Mean Layer Temperature (Upper Troposphere & Lower Stratosphere) from UCAR, Version 2

The Temperatures of Troposphere / Stratosphere (TTS) (AMSU channel 7 and MSU channel 3) CDR is generated by using National Oceanic and Atmospheric Administration (NOAA) and Europe METeorological Operational satellite-A (Metop/A) satellites. High quality radiosonde observations (RAOBs) identified by coincident Global Positioning System (GPS) Radio Occultation (RO) temperature profile measurements from Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) and Challenging Mini-satellite Payload (CHAMP) are used to calibrate the AMSU channel 7 measurements from multiple NOAA and Metop-A missions. The calibrated AMSU TTS from 2001 to 2014 are then used to calibrate MSU TTS in the same time period and then the calibrated MSU TTS are used to calibrate those overlapped MSU TTS from 1980 to 2001.

Tags: 1 km, 250 km - < 500 km or approximately 2.5 degrees - < 5.0 degrees, advanced microwave sounding unit-a, amsu-a, brightness temperature, challenging minisatellite payload, champ, constellation observing system for meteorology, cosmic data analysis and archive center, doc/noaa/nesdis/ncei, earth science, geographic region, global, infrared wavelengths, ionosphere and climate, microwave, microwave sounding unit, monthly climatology, msu, national centers for environmental information, national oceanic & atmospheric administration-10, national oceanic & atmospheric administration-11, national oceanic & atmospheric administration-12, national oceanic & atmospheric administration-14, national oceanic & atmospheric administration-15, national oceanic & atmospheric administration-16, national oceanic & atmospheric administration-18, national oceanic & atmospheric administration-19, national oceanic & atmospheric administration-6, national oceanic & atmospheric administration-7, national oceanic & atmospheric administration-8, national oceanic & atmospheric administration-9, nesdis, noaa, noaa climate data record (cdr) program, noaa onestop project, noaa-10, noaa-11, noaa-12, noaa-14, noaa-15, noaa-16, noaa-18, noaa-19, noaa-6, noaa-7, noaa-8, noaa-9, satellite, spectral/engineering, television infrared observation satellite-n, tiros-n, troposphere, u.s. department of commerce, ucar/cosmic/cdaac, university corporation for atmospheric research, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Climate Data Record (CDR) of MSU Level 1c Brightness Temperature, Version 1.0

This dataset contains Level 1c inter-calibrated brightness temperatures from the Microwave Sounding Unit (MSU) sensors onboard nine polar orbiting satellites (TIROS-N, NOAA-6, -7, -8, -9, -10, -11, -12, and -14) spanning from 1978 to 2006. The dataset was produced by the NOAA Center for Satellite Applications and Research (STAR), and is a Fundamental Climate Data Record (FCDR) of microwave brightness temperatures in the NOAA CDR Program. MSU is a four-channel microwave radiometer measuring at 50.3, 53.74, 54.96, and 57.95 GHz, and has ground spatial resolution of about 250 km in diameter at nadir. The native MSU Level 1b data were inter-calibrated using the Integrated Microwave Inter-Calibration Approach (IMICA) method to obtain a long-term data product to be used in climate analyses. For comparison, data files also include the operational data used in NWP forecasting along with the IMICA calibrated radiances, which minimize or remove the biases found in the operational calibration. In addition, limb adjusted radiances for both the IMICA and operational calibrations are included for certain type of climate applications, such as atmospheric layer temperature development using the radiance datasets. The orbital swath data files include MSU channels 2 through 4 for the IMICA calibration, and channels 1 through 4 for the operational calibration. The inter-calibrated MSU data are not expected to change for the dataset time period.

Tags: 1 km, 50 km - < 100 km or approximately .5 degree - < 1 degree, brightness temperature, center for satellite applications and research, doc/noaa/nesdis/ncdc, doc/noaa/nesdis/ncei, doc/noaa/nesdis/star, earth science, geographic region, global, hourly - < daily, microwave, microwave sounding unit, msu, national centers for environmental information, national climatic data center, national oceanic & atmospheric administration-10, national oceanic & atmospheric administration-11, national oceanic & atmospheric administration-12, national oceanic & atmospheric administration-14, national oceanic & atmospheric administration-6, national oceanic & atmospheric administration-7, national oceanic & atmospheric administration-8, national oceanic & atmospheric administration-9, nesdis, noaa, noaa climate data record (cdr) program, noaa onestop project, noaa-10, noaa-11, noaa-12, noaa-14, noaa-6, noaa-7, noaa-8, noaa-9, satellite, spectral/engineering, television infrared observation satellite-n, tiros-n, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Climate Data Record (CDR) of Daily Outgoing Longwave Radiation (OLR), Version 2.0

This Climate Data Record (CDR) contains the daily mean Outgoing Longwave Radiation (OLR) time series in global 1 degree x 1 degree equal-angle gridded maps spanning from January 1, 1979 to present, and continuing daily with a two-day lag. The OLR is estimated from radiance observations from the operational polar-orbiting sounding instruments, including HIRS, IASI and CrIS, via multispectral OLR algorithm for HIRS, and spectral flux estimation algorithms for the hyper-spectral instruments, along with other temporal and spatial averaging methodologies. These OLR CDR products are generated with HIRS/IASI/CrIS OLR retrievals from TIROS-N series satellites, MetOp series satellites, and JPSS series satellites. The OLR retrievals are inter-satellite calibrated and maintain radiometric traceability, while using geostationary-estimated OLR to accurately account for diurnal variations for Daily mean product derivation. The new HIRS OLR regression coefficients improve the retrieval consistency between HIRS-based OLR retrievals and IASI/CrIS-based OLR retrievals. The data file format is netCDF-4 with CF metadata, and it is accompanied by algorithm documentation, data flow diagram and source code for the NOAA CDR Program.

Tags: atmosphere, atmospheric radiation, cris, cross-track infrared sounder, doc/noaa/nesdis/ncei, earth science, geographic region, global land, high resolution infra-red sounder/2, high resolution infra-red sounder/3, high resolution infra-red sounder/4, hirs-2, hirs-3, hirs-4, iasi, infrared atmospheric sounding interferometer, joint polar satellite system - 1, joint polar satellite system - 2, meteorological operational polar satellite - a, meteorological operational polar satellite - b, meteorological operational polar satellite - c, metop-a, metop-b, metop-c, national centers for environmental information, national oceanic & atmospheric administration - 10, national oceanic & atmospheric administration - 11, national oceanic & atmospheric administration - 12, national oceanic & atmospheric administration - 14, national oceanic & atmospheric administration - 15, national oceanic & atmospheric administration - 16, national oceanic & atmospheric administration - 17, national oceanic & atmospheric administration - 18, national oceanic & atmospheric administration - 19, national oceanic & atmospheric administration - 6, national oceanic & atmospheric administration - 7, national oceanic & atmospheric administration - 8, national oceanic & atmospheric administration - 9, nesdis, noaa, noaa onestop project, noaa-10, noaa-11, noaa-12, noaa-14, noaa-15, noaa-16, noaa-17, noaa-18, noaa-19, noaa-20, noaa-21, noaa-6, noaa-7, noaa-8, noaa-9, outgoing longwave radiation, suomi national polar-orbiting partnership, suomi-npp, television infrared observation satellite - n, tiros-n, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Climate Data Record (CDR) of Monthly Outgoing Longwave Radiation (OLR), Version 3.0

This Climate Data Record (CDR) contains the monthly mean Outgoing Longwave Radiation (OLR) time series in global 2.5 degree x 2.5 degree equal-angle gridded maps spanning from January 1979 to present, and continuing monthly. The OLR is estimated from radiance observations from the operational polar-orbiting sounding instruments, including HIRS, IASI and CrIS, via multispectral OLR algorithm for HIRS, and spectral flux estimation algorithms for the hyper-spectral instruments, along with other temporal and spatial averaging methodologies. These OLR CDR products are generated with HIRS/IASI/CrIS OLR retrievals from TIROS-N series satellites, MetOp series satellites, and JPSS series satellites. The OLR retrievals are inter-satellite calibrated and maintain radiometric traceability, while the temporal averaging employs the empirical diurnal models for Monthly mean product derivation. The new HIRS OLR regression coefficients improve the retrieval consistency between HIRS-based OLR retrievals and IASI/CrIS-based OLR retrievals. The data file format is netCDF-4 with CF metadata, and it is accompanied by algorithm documentation, data flow diagram and source code for the NOAA CDR Program.

Tags: atmosphere, atmospheric radiation, cris, cross-track infrared sounder, doc/noaa/nesdis/ncei, earth science, geographic region, global, high resolution infra-red sounder/2, high resolution infra-red sounder/3, high resolution infra-red sounder/4, hirs-2, hirs-3, hirs-4, iasi, infrared atmospheric sounding interferometer, joint polar satellite system - 1, joint polar satellite system - 2, meteorological operational polar satellite - a, meteorological operational polar satellite - b, meteorological operational polar satellite - c, metop-a, metop-b, metop-c, national centers for environmental information, national oceanic & atmospheric administration - 10, national oceanic & atmospheric administration - 11, national oceanic & atmospheric administration - 12, national oceanic & atmospheric administration - 14, national oceanic & atmospheric administration - 15, national oceanic & atmospheric administration - 16, national oceanic & atmospheric administration - 17, national oceanic & atmospheric administration - 18, national oceanic & atmospheric administration - 19, national oceanic & atmospheric administration - 6, national oceanic & atmospheric administration - 7, national oceanic & atmospheric administration - 8, national oceanic & atmospheric administration - 9, nesdis, noaa, noaa onestop project, noaa-10, noaa-11, noaa-12, noaa-14, noaa-15, noaa-16, noaa-17, noaa-18, noaa-19, noaa-20, noaa-21, noaa-6, noaa-7, noaa-8, noaa-9, outgoing longwave radiation, suomi national polar-orbiting partnership, suomi-npp, television infrared observation satellite - n, tiros-n, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce