AndreaBozzo/ceres-open-data-index huggingface dataset:
Landsat-Derived Global Irrigated-Cropland Product L1 2020 30 m V002

The Landsat-Derived Global Irrigated-Cropland Product Level 1 2020 (LGRIP30_L1_IRRI) Version 2 data provides high-resolution, 30 meter (m) cropland data to assist and address food and water security issues of the twenty-first century. As an extension of the Global Food Security-support Analysis Data ([GFSAD](https://www.usgs.gov/centers/western-geographic-science-center/science/global-food-security-support-analysis-data-30-m)) project, LGRIP_L1_IRRI V2 maps agricultural lands by dividing them into 32 irrigated cropland types and calculates applicable cropland areas across the globe. LGRIP data are produced using Landsat 8 time-series satellite sensor data for the 2019 through 2021 time period to create a nominal 2020 product. Each LGRIP30 L1 V2 Irrigated 30 m resolution GeoTIFF file contains a layer that identifies areas of irrigated cropland (cropland that had at least one irrigation during the crop growing period) divided into 32 types, non-irrigated land (rainfed cropland and areas not classified as cropland), and water bodies over a 10° by 10° area, as well as an accuracy assessment of the product. A low-resolution browse image is also included. Currently, LGRIP30 V2 products contain data only for the conterminous United States (CONUS). LGRIP30 V2 data covering the rest of the globe will be added at a later date. Improvements/Changes from Previous Version There are three major goals in developing LGRIP30 V2: * The goal of LGRIP30 V2 is to overcome uncertainties present in [LGRIP30 V1](https://doi.org/10.5067/community/LGRIP/LGRIP30.001) and increase accuracies and reduce errors of omission and commission, thereby producing the most accurate high-resolution LGRIP30 product for the world. The LGRIP30 V2 is a significantly improved product. For more details see Section 3.1 of the User Guide. * LGRIP30 V2 is for the nominal year 2020; LGRIP30 V1 was for the nominal year 2015. * LGRIP30 V2 introduces Level 1 (L1) and Level 2 (L2) products to provide more detail for irrigated areas (IRRI) and rainfed (RAIN) areas. L1 data provides the greatest detail and classification for irrigated (LGRIP30_L1_IRRI) and rainfed ([LGRIP30_L1_RAIN](https://doi.org/10.5067/Community/LGRIP/LGRIP30_L1_RAIN.002)) croplands, while L2 data provides aggregated L1 data for irrigated ([LGRIP30_L2_IRRI]( https://doi.org/10.5067/Community/LGRIP/LGRIP30_L2_IRRI.002)) and rainfed ([LGRIP30_L2_RAIN](https://doi.org/10.5067/Community/LGRIP/LGRIP30_L2_RAIN.002)) areas.

Tags: earth-science-agricultural-plant-science-agriculture-crop-plant-yields, earth-science-land-use-land-cover-land-surface-land-use-classes, earth-science-landscape-land-surface-landscape-patterns
Organization: National Aeronautics and Space Administration
In-situ Air Temperature and Relative Humidity in Greenbelt, MD, 2013-2015

This data set describes the temperature and relative humidity at 12 locations around Goddard Space Flight Center in Greenbelt MD at 15 minute intervals between November 2013 and November 2015. These data were collected to study the impact of surface type on heating in a campus setting and to improve the understanding of urban heating and potential mitigation strategies on the campus scale. Sensors were mounted on posts at 2 m above surface and placed on 7 different surface types around the centre: asphalt parking lot, bright surface roof, grass field, forest, and stormwater mitigation features (bio-retention pond and rain garden). Data were also recorded in an office setting and a garage, both pre- and post-deployment, for calibration purposes. This dataset could be used to validate satellite-based study or could be used as a stand-alone study of the impact of surface type on heating in a campus setting.

Tags: earth-science-atmospheric-temperature-atmosphere-surface-temperature-air-temperature, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-humidity
Organization: National Aeronautics and Space Administration
Landsat-derived Global Rainfed and Irrigated-Cropland Product L3 2020 30 m V002

The Landsat-derived Global Rainfed and Irrigated-Cropland Product Level 3 2020 (LGRIP30_L3) Version 2 data provides high-resolution, 30 meter (m) cropland data to assist and address food and water security issues of the twenty-first century. As an extension of the Global Food Security-support Analysis Data ([GFSAD](https://www.usgs.gov/centers/western-geographic-science-center/science/global-food-security-support-analysis-data-30-m)) project, LGRIP L3 V2 maps agricultural croplands by dividing them into irrigated and rainfed croplands, and calculates irrigated and rainfed areas across the globe. LGRIP data are produced using Landsat 8 time-series satellite sensor data for the 2019 through 2021 time period to create a nominal 2020 product. Each LGRIP30 L3 V2 30 m resolution GeoTIFF file contains a layer that identifies areas of rainfed cropland (cropland areas that are purely dependent on direct precipitation without any artificial watering), irrigated cropland (cropland that had at least one irrigation during the crop growing period), non-cropland, and water bodies over a 10° by 10° area, as well as an accuracy assessment of the product. A low-resolution browse image is also included. Currently, LGRIP30 V2 products only contain data for the conterminous United States (CONUS). LGRIP30 V2 data covering the rest of the globe will be added at a later date. Improvements/Changes from Previous Version There are three major goals in developing LGRIP30 V2: * The goal of LGRIP30 V2 is to overcome uncertainties present in [LGRIP30 V1](https://doi.org/10.5067/community/LGRIP/LGRIP30.001) and increase accuracies and reduce errors of omission and commission, thereby producing the most accurate high-resolution LGRIP30 product for the world. The LGRIP30 V2 is a significantly improved product. For more details see Section 3.1 of the User Guide. * LGRIP30 V2 is for the nominal year 2020; LGRIP30 V1 was for the nominal year 2015. * LGRIP30 V2 introduces Level 1 (L1) and Level 2 (L2) products to provide more detail for irrigated areas (IRRI) and rainfed (RAIN) areas. L1 data provides the greatest detail and classification for irrigated ([LGRIP30_L1_IRRI](https://doi.org/10.5067/Community/LGRIP/LGRIP30_L1_IRRI.002)) and rainfed ([LGRIP30_L1_RAIN](https://doi.org/10.5067/Community/LGRIP/LGRIP30_L1_RAIN.002)) croplands, while L2 data provides aggregated L1 data for irrigated ([LGRIP30_L2_IRRI]( https://doi.org/10.5067/Community/LGRIP/LGRIP30_L2_IRRI.002)) and rainfed ([LGRIP30_L2_RAIN](https://doi.org/10.5067/Community/LGRIP/LGRIP30_L2_RAIN.002)) areas.

Tags: earth-science-agricultural-plant-science-agriculture-crop-plant-yields, earth-science-land-use-land-cover-land-surface-land-use-classes, earth-science-landscape-land-surface-landscape-patterns
Organization: National Aeronautics and Space Administration
KORUS-AQ B200 Aircraft In Situ Meteorological and Navigational Data

KORUSAQ_MetNav_AircraftInSitu_B200_Data are in-situ meteorological and navigational data collected onboard the B200 aircraft during the KORUS-AQ field campaign. This dataset contains the navigational data for the B200 aircraft. Data collection for this product is complete. The KORUS-AQ field study was conducted in South Korea during May-June, 2016. The study was jointly sponsored by NASA and Korea’s National Institute of Environmental Research (NIER). The primary objectives were to investigate the factors controlling air quality in Korea (e.g., local emissions, chemical processes, and transboundary transport) and to assess future air quality observing strategies incorporating geostationary satellite observations. To achieve these science objectives, KORUS-AQ adopted a highly coordinated sampling strategy involved surface and airborne measurements including both in-situ and remote sensing instruments. Surface observations provided details on ground-level air quality conditions while airborne sampling provided an assessment of conditions aloft relevant to satellite observations and necessary to understand the role of emissions, chemistry, and dynamics in determining air quality outcomes. The sampling region covers the South Korean peninsula and surrounding waters with a primary focus on the Seoul Metropolitan Area. Airborne sampling was primarily conducted from near surface to about 8 km with extensive profiling to characterize the vertical distribution of pollutants and their precursors. The airborne observational data were collected from three aircraft platforms: the NASA DC-8, NASA B-200, and Hanseo King Air. Surface measurements were conducted from 16 ground sites and 2 ships: R/V Onnuri and R/V Jang Mok. The major data products collected from both the ground and air include in-situ measurements of trace gases (e.g., ozone, reactive nitrogen species, carbon monoxide and dioxide, methane, non-methane and oxygenated hydrocarbon species), aerosols (e.g., microphysical and optical properties and chemical composition), active remote sensing of ozone and aerosols, and passive remote sensing of NO2, CH2O, and O3 column densities. These data products support research focused on examining the impact of photochemistry and transport on ozone and aerosols, evaluating emissions inventories, and assessing the potential use of satellite observations in air quality studies.

Tags: earth-science-altitude-atmosphere, earth-science-atmospheric-pressure-atmosphere-static-pressure
Organization: National Aeronautics and Space Administration
KPBZ NEXRAD IMPACTS V1

The KPBZ NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.

Tags: earth-science-radar-spectral-engineering-radar-reflectivity, earth-science-radar-spectral-engineering-radial-velocity, earth-science-radar-spectral-engineering-spectrum-width
Organization: National Aeronautics and Space Administration
Largest Glaciers and Glacier Complexes in the World, Version 1

This data set provides a list of the three largest glaciers and glacier complexes in each of the 19 glacial regions of the world as defined by the Global Terrestrial Network for Glaciers. The data are provided in shapefile format with an outline for each of the largest ice bodies along with a number of attributes such as area in km2.

Tags: earth-science-glaciers-ice-sheets-cryosphere-glaciers, earth-science-glaciers-ice-sheets-cryosphere-glaciers-glacier-extent
Organization: National Aeronautics and Space Administration
Korea-United States Ocean Color expedition

The KORUS-OC (Korea-United States Ocean Color) expedition was a venture among scientist from the Korean Institute of Ocean Science and Technology (KIOST), NASA, and other institutions to study the daily changes of the seas surrounding South Korea.

Tags: earth-science-ocean-chemistry-oceans, earth-science-ocean-optics-oceans, earth-science-ocean-temperature-oceans, earth-science-salinity-density-oceans
Organization: National Aeronautics and Space Administration
Landsat-Derived Global Rainfed and Irrigated-Cropland Product 30 m V001

The Landsat-Derived Global Rainfed and Irrigated-Cropland Product (LGRIP) provides high resolution, global cropland data to assist and address food and water security issues of the twenty-first century. As an extension of the Global Food Security-support Analysis Data ([GFSAD](https://www.usgs.gov/centers/western-geographic-science-center/science/global-food-and-water-security-support-analysis)) project, LGRIP maps the world’s agricultural lands by dividing them into irrigated and rainfed croplands and calculates irrigated and rainfed areas for every country in the world. LGRIP data are produced using Landsat 8 time-series satellite sensor data for the 2014-2017 time period to create a nominal 2015 product. Each LGRIP 30 meter resolution GeoTIFF file contains a contains a layer that identifies areas of rainfed cropland (cropland areas that are purely dependent on direct precipitation), irrigated cropland (cropland that had at least one irrigation during the crop growing period), non-cropland, and water bodies over a 10° by 10° area, as well as an accuracy assessment of the product. A low-resolution browse image is also available.

Tags: earth-science-agricultural-plant-science-agriculture-crop-plant-yields, earth-science-ecosystems-biosphere-anthropogenic-human-influenced-ecosystems-agricultural-lands, earth-science-landscape-land-surface-landscape-patterns
Organization: National Aeronautics and Space Administration
KLWX NEXRAD IMPACTS V1

The KLWX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. This Level II dataset contains meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.

Tags: earth-science-radar-spectral-engineering-radar-reflectivity, earth-science-radar-spectral-engineering-radial-velocity, earth-science-radar-spectral-engineering-spectrum-width
Organization: National Aeronautics and Space Administration
KJKL NEXRAD IMPACTS V1

The KJKL NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. This Level II dataset contains meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.

Tags: earth-science-radar-spectral-engineering-radar-reflectivity, earth-science-radar-spectral-engineering-radial-velocity, earth-science-radar-spectral-engineering-spectrum-width
Organization: National Aeronautics and Space Administration
KIWX NEXRAD IMPACTS V1

The KIWX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.

Tags: earth-science-radar-spectral-engineering-radar-reflectivity, earth-science-radar-spectral-engineering-radial-velocity, earth-science-radar-spectral-engineering-spectrum-width
Organization: National Aeronautics and Space Administration
KMHX NEXRAD IMPACTS V1

The KMHX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. This Level II dataset contains meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.

Tags: earth-science-radar-spectral-engineering-radar-reflectivity, earth-science-radar-spectral-engineering-radial-velocity, earth-science-radar-spectral-engineering-spectrum-width
Organization: National Aeronautics and Space Administration
Landsat-derived Spring and Autumn Phenology, Eastern US - Canadian Forests, 1984-2013

This dataset provides Landsat phenology algorithm (LPA) derived start and end of growing seasons (SOS and EOS) at 500-m resolution for deciduous and mixed forest areas of 75 selected Landsat sidelap regions across the Eastern United States and Canada. The data are a 30-year time series (1984-2013) of derived spring and autumn phenology for forested areas of the Eastern Temperate Forest, Northern Forest, and Taiga ecoregions.

Tags: earth-science-vegetation-biosphere-canopy-characteristics, earth-science-vegetation-biosphere-plant-phenology
Organization: National Aeronautics and Space Administration
Landsat-based Phenology and Tree Ring Characterization, Eastern US Forests, 1984-2013

This data set provides a 30-year record of Landsat TM and ETM+ derived forest phenology and the results of tree ring analyses for annual wood production and nitrogen and carbon isotopic composition at 113 selected forested sites in the eastern United States. The sites are located in four national parks: Prince William Forest Park (PRWI), Harpers Ferry National Historical Park (HAFE), Catoctin Mountain Park (CATO), and Great Smoky Mountains National Park (GRSM). Phenology and tree ring data cover 1984-2013.

Tags: earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-atmospheric-car, earth-science-ecosystems-biosphere-terrestrial-ecosystems-forests, earth-science-vegetation-biosphere-carbon, earth-science-vegetation-biosphere-nitrogen, earth-science-vegetation-biosphere-photosynthetically-active-radiation-fraction-of-absorbed-pho, earth-science-vegetation-biosphere-plant-phenology, earth-science-vegetation-biosphere-tree-rings
Organization: National Aeronautics and Space Administration
Land Margin Ecosystem Research (LMER): Trophic Interactions in Estuarine Systems (TIES)

Measurements taken under the Chesapeake Bay Land Margin Ecosystem Research (LMER): Trophic Interactions in Estuarine Systems (TIES) between 1993 and 2001.

Tags: earth-science-ocean-chemistry-oceans, earth-science-ocean-optics-oceans, earth-science-ocean-temperature-oceans, earth-science-salinity-density-oceans
Organization: National Aeronautics and Space Administration
IceBridge POS/AV L1B Corrected Position and Attitude Data, Version 1

This data set contains georeferencing data from the Applanix 510 POS AV system flown with the Digital Mapping System (DMS) and other instruments over Greenland and Antarctica. Data parameters include latitude, longitude, altitude, velocity, roll, pitch, and heading. The data were collected as part of Operation IceBridge funded campaigns.

Tags: earth-science-platform-characteristics-spectral-engineering-attitude-characteristics
Organization: National Aeronautics and Space Administration