AndreaBozzo/ceres-open-data-index huggingface dataset:
LBA Regional Climate Data, 0.5-Degree Grid, 1960-1990 (Willmott and Webber)

This data set is a subset of a 0.5-degree gridded temperature and precipitation data set for South America (Willmott and Webber 1998). This subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA), defined as 10° N to 25° S, 30° to 85° W. The data are in ASCII GRID format. The data consist of the following: Monthly mean air temperature time series (1960-1990), in degrees C: monthly mean air temperatures for 1960-1990 cross validation errors associated with time series monthly mean air temperatures for 1960-1990, DEM assisted interpolation cross validation errors associated with DEM assisted interpolation time series Monthly mean air temperature climatology, in degrees C: climatic means of monthly and annual air temperatures cross validation errors associated with climatic means climatic means of monthly and annual mean air temperatures, DEM assisted interpolation cross validation errors associated with DEM assisted interpolation climatic means Monthly total precipitation time series (1960-1990), in millimeters: monthly precipitation totals for 1960-1990 cross validation errors associated with time series monthly precipitation totals for 1960-1990, climatologically aided interpolation cross validation errors associated with climatologically aided interpolation time series Monthly total precipitation climatology, in millimeters: climatic means of monthly and annual precipitation totals cross validation errors associated with climatic means More information about the full data set can be found at "Willmott, Matsuura, and Collaborators' Global Climate Resource Pages" (http://climate.geog.udel.edu/~climate) at the University of Delaware. To obtain the original documentation and data, follow the link for "Available Climate Data," register or sign in, and follow the link for "South American Climate Data." Information on the LBA subset can be found at ftp://daac.ornl.gov/data/lba/physical_climate/willmott/comp/willmott_readme.pdf.

Tags: earth-science-atmospheric-temperature-atmosphere-surface-temperature, earth-science-atmospheric-temperature-atmosphere-surface-temperature-air-temperature, earth-science-precipitation-atmosphere-precipitation-amount
Organization: National Aeronautics and Space Administration
LBA Regional Boundary for the Legal Amazon of Brazil, 8-km

The Legal Amazon of Brazil is defined by law to include the states of Acre, Amapá, Amazonas, Pará, Rondônia, Roraima, Mato Grosso, Maranhão, and Tocantins [Fundãcao Instituto Brasileiro de Geografia e Estatística (IBGE) 1991]. This is the definition used in generating the Legal Amazon mask. The 8-km Legal Amazon mask was generated by Christopher Potter at the Ecosystem Science and Technology Branch of the Earth Science Division at NASA Ames Research Center (Potter and Brooks-Genovese 1999). The mask was generated from the Digital Chart of the World available from Environmental Systems Research Institute, Inc. (ESRI). The mask is available in ASCII GRID format. The README file accompanying the mask has more information regarding data format. More information can be found at ftp://daac.ornl.gov/data/lba/human_dimensions/legal_amazon_mask/comp/legamazon_readme.pdf.

Tags: earth-science-boundaries-human-dimensions-political-divisions
Organization: National Aeronautics and Space Administration
Marginal Ice Zone 2014 Field Campaign, Version 1

This data set contains ocean temperature, salinity, and wave data collected during a research initiative with the goal of understanding the physics that control sea ice breakup and melt in and around the sea ice edge. It was conducted by the U.S. Office of Naval Research (ONR) Marginal Ice Zone Departmental Research Initiative (DRI) program to better understand the atmosphere-ice-ocean interactions that are taking place as ice in the Beaufort Sea retreats in summer and a seasonal marginal ice zone (MIZ) evolves. The field program took place in the summer of 2014.

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature, earth-science-ocean-waves-oceans, earth-science-ocean-waves-oceans-sea-state, earth-science-ocean-waves-oceans-significant-wave-height, earth-science-ocean-waves-oceans-wave-direction, earth-science-ocean-waves-oceans-wave-frequency, earth-science-ocean-waves-oceans-wave-speed, earth-science-salinity-density-oceans-ocean-salinity
Organization: National Aeronautics and Space Administration
Landsat-Derived Global Rainfed-Cropland Product L2 2020 30 m V002

The Landsat-Derived Global Rainfed-Cropland Product Level 2 2020 (LGRIP30_L2_RAIN) 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_L2_RAIN V2 maps agricultural lands by dividing them into rainfed single croplands and rainfed single croplands mixed with natural vegetation, 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 LGRIP L2 Rainfed 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) divided into single crop and single crop that is mixed with natural vegetation, non-rainfed land (irrigated croplands 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 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) 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
Landsat-Derived Global Irrigated-Cropland Product L2 2020 30 m V002

The Landsat-Derived Global Irrigated-Cropland Product Level 2 2020 (LGRIP30_L2_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_L2_IRRI V2 maps agricultural lands by dividing them into irrigated single crop, double crop, and continuous croplands, 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 LGRIP L2 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 single, double, and continuous crop classifications, 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 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) 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
Landsat-Derived Global Rainfed-Cropland Product L1 2020 30 m V002

The Landsat-Derived Global Rainfed-Cropland Product Level 1 2020 (LGRIP30_L1_RAIN) 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, LGRIP30_L1_RAIN V2 maps agricultural lands by dividing them into 24 types of rainfed croplands 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 LGRIP L1 Rainfed 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) divided into 24 types, non-rainfed land (irrigated croplands 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 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 Versions 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) 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
Landscape Map of the Russian Arctic Coastal Zone, Version 1

The map consists of ESRI Shapefiles of landscape polygons (in landscape unit types) for the Russian Arctic coastal zone (scale 1:4,000,000). The map is based on a digital circumpolar Lambert projection map. Polygons have a single attribute (LAND-ID). LAND-ID is an eight-character code that describes the landscape unit. The first two digits code zone, the third and fourth code landscape, the fifth through seventh code lithology, and the eighth codes substrate chemistry. The code is described in detail in an accompanying legend. Large polygons enclosing islands, or continental land areas between major rivers, form the boundaries of many smaller landscape polygons. These large enclosing polygons have LAND-ID values of 0. Some smaller islands (e.g., Zemlya Frantsa) have no codes associated with them. Areas on the far eastern portion of the map also have no code.

Tags: earth-science-geomorphology-solid-earth-coastal-landforms-processes, earth-science-geomorphology-solid-earth-glacial-landforms-processes, earth-science-landscape-land-surface-landscape-patterns-landscape-patterns, earth-science-soils-land-surface-soil-classification-soil-classification, earth-science-terrestrial-ecosystems-biosphere-alpine-tundra-alpine-tundra, earth-science-terrestrial-ecosystems-biosphere-wetlands-lacustrine-wetlands-lacustrine-wetlands, earth-science-terrestrial-ecosystems-biosphere-wetlands-marine-marine
Organization: National Aeronautics and Space Administration
Mangrove Extent Baseline from Landsat MSS, 1972-1977

This dataset includes a regional map of mangrove extent for Myanmar, Thailand, and Cambodia for the period of 1972-1977. The map was developed from Landsat 1-2 MSS Collection 1 Tier 2 imagery. Mangrove extent was generated using a Random Forest machine learning algorithm that effectively mapped a total of 15,420.51 km2 at the nominal Landsat scale of 30 m. This map of mangrove extent served as a baseline to analyze changes in mangrove distribution in Southeast Asia from 1970s through 2020. Southeast Asia is home to some of the planet's most carbon-dense and biodiverse mangrove ecosystems. There is still much uncertainty with regards to the timing and magnitude of changes in mangrove cover over the past 50 years. While there are several regional to global maps of mangrove extent in Southeast Asia for the early 21st century, data prior to the mid-1990s are limited due to the scarcity of Earth Observation (EO) data of sufficient quality and the historical limitations to publicly available EO data. The data are provided in Cloud optimized GeoTIFF format at 60-m resolution. In addition, a shapefile outlines the region of analysis.

Tags: earth-science-coastal-processes-oceans-mangroves, earth-science-ecosystems-biosphere-marine-ecosystems-coastal, earth-science-ecosystems-biosphere-marine-ecosystems-estuary
Organization: National Aeronautics and Space Administration
MagMix project

Estuarine and coastal systems play important roles in society, serving as port facilities, productive fisheries and rookeries, and scenic recreational areas. However, these same values to society mean that these areas can be significantly affected by human activities. Inputs of nutrients, organic matter, and trace metals are among these impacts. The MagMix project seeks to understand the transport and cycling of nutrients and trace elements and relate that to biogeochemical and optical properties in river-dominated coastal systems. The area of study is the outflow region of the Mississippi and Atchafalaya rivers in the northern Gulf of Mexico. The Mississippi River carries high concentrations of plant nutrients derived from fertilizer use on farms in the heartland of the US. These excess nutrients stimulate plant growth in the surface waters of the Louisiana Shelf. These plants, in turn, sink to the bottom waters of the shelf where they serve as food for respiring organisms. The input of this excess food then stimulates an excess of respiration thereby depleting the shelf bottom waters of oxygen during the summer. These oxygen-depleted (or hypoxic) waters then become a dead zone avoided by animals. The overall goal of this research project is to better understand the mixing processes and their relationship to optical and biogeochemical properties as the waters of the Mississippi River and the Atchafalaya River enter the Gulf of Mexico.

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
LANDMET Ancillary ISCCP Surface Type Data L3 V1 (LANDMET_ANC_ST) at GES DISC

This is an ancillary product containing the land surface type information includes, for each map grid cell, the type and coverage fractions of the top three surface types present in the cell. The sum of these three fractions may not equal the land fraction if more types are present (usually a small difference). The product is a climatology data, no change in time, with spatial grid cell on equal-area mapping at 1.0-degree-equivalent.

Tags: earth-science-land-use-land-cover-land-surface, earth-science-land-use-land-cover-land-surface-land-use-classes, earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification
Organization: National Aeronautics and Space Administration
Land/Sea static mask relevant to TMPA precipitation 0.25x0.25 degree V2 (TRMM_TMPA_LandSeaMask) at GES DISC

Version 2 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 2. This land sea mask originated from the NOAA group at SSEC in the 1980s. It was originally produced at 1/6 deg resolution, and then regridded for the purposes of GPCP, TMPA, and IMERG precipitation products. NASA code 610.2, Terrestrial Information Systems Laboratory, restructured this TMPA land sea mask to match the TMPA grid, and converted the file to CF-compliant netCDF4. Version 2 was created in May, 2019 to resolve detected inaccuracies in coastal regions. Users should be aware that this is a static mask, i.e. there is no seasonal or annual variability, and it is due for update. It is not recommended to be used outside of the aforementioned precipitation data.

Tags: earth-science-precipitation-atmosphere
Organization: National Aeronautics and Space Administration
Land Use and Land Cover Change Projection in the ABoVE Domain

This dataset provides projections of land use and land cover (LULC) change within the Arctic Boreal Vulnerability Experiment (ABoVE) domain, spanning from 2015 to 2100 with a spatial resolution of 0.25 degrees. It includes LULC change under two Shared Socioeconomic Pathways (SSP126 and SSP585) derived from Global Change Analysis Model (GCAM) at an annual scale. The specific land types include: needleleaf evergreen tree-temperate, needleleaf evergreen tree-boreal, needleleaf deciduous tree-boreal, broadleaf evergreen tree-tropical, broadleaf evergreen tree-temperate, broadleaf deciduous tree-tropical, broadleaf deciduous tree-temperate, broadleaf deciduous tree-boreal, broadleaf evergreen shrub-temperate, broadleaf deciduous shrub-temperate, broadleaf deciduous shrub-boreal, C3 arctic grass, C3 grass, C4 grass, and C3 unmanaged rainfed crop. The data were generated by integrating regional LULC projections from GCAM with high-resolution MODIS land cover data and applying two alternative spatial downscaling models: FLUS and Demeter. Data are provided in NetCDF format.

Tags: earth-science-ecosystems-biosphere-anthropogenic-human-influenced-ecosystems-agricultural-lands, earth-science-ecosystems-biosphere-terrestrial-ecosystems-forests, earth-science-land-use-land-cover-land-surface-land-use-classes, earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification
Organization: National Aeronautics and Space Administration
Land Resources of Russia -- Maps of Soil Characteristics, Version 1

This data set consists of maps of various soil characteristics for all of Russia. The maps are available as ESRI Shapefiles and they are accompanied by databases of soil profiles and related characteristics. The soil classification Shapefile was generalized from the standard 1:2,500,000 soil map of Russia (Fridland, 1988). Several different soil classifications are presented as well as detailed soil characteristics. Additionally, investigators compiled two databases (.dbf files) of detailed soil characteristics from 234 measured soil profiles. These data were extracted from a larger collection entitled Land Resources of Russia. Data and documentation © 2002 copyright International Institute for Applied Systems Analysis and the Russian Academy of Sciences.

Tags: earth-science-frozen-ground-cryosphere-cryosols-cryosols, earth-science-frozen-ground-cryosphere-permafrost-permafrost, earth-science-frozen-ground-cryosphere-soil-temperature-soil-temperature, earth-science-frozen-ground-land-surface-cryosols-cryosols, earth-science-frozen-ground-land-surface-permafrost-permafrost, earth-science-frozen-ground-land-surface-soil-temperature-soil-temperature, earth-science-snow-ice-cryosphere-permafrost-permafrost, earth-science-soils-land-surface
Organization: National Aeronautics and Space Administration