AndreaBozzo/ceres-open-data-index huggingface dataset:
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across the Western U.S. 1985-2020 - Herbaceous

The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2020. The RCMAP product suite consists of eight fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub and rule-based error maps including the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. We used an updated version of the 2016 base training data, with a more aggressive forest mask and reduced shrub and sagebrush cover bias in pinyon-juniper woodlands. We pooled training data in areas and times identified as having no spectral change relative to the base year across all years in the time-series and used a series of procedures to remove the most spatially and temporally common values. We also used composite Landsat Analysis Ready Data (ARD) in seven regions instead of using individual images by path and row. An automated method to identify change in spectral conditions between each year in the Landsat archive and the circa 2016 base map, resulted in a robust and sensitivity of subtle changes. Yearly fractional component cover outputs were inserted in the changed area while the base year values were maintained in the unchanged area. Processing efficiency has been increased through use of open-source software and High-Performance Computing (HPC) resources. The mapping area included seven regions which were subsequently mosaicked for all eight components. 
These data can be used to answer critical questions regarding the influence of climate change and the suitability of management practices. Component products can be downloaded from www.mrlc.gov.

Tags: annual-herbaceous, arizona, arizona-plateau, az, back-in-time, bare-ground, big-sagebrush, biota, black-hills, blue-mountains, ca, california, chihuahuan, chihuahuan-desert, climate-change, co, colorado, colorado-plateau, columbia-plateau, desert, environment, geoscientificinformation, grand-canyon, grass, grassland-change, great-basin, gunnison, herbaceous, id, idaho, imagerybasemapsearthcover, litter, mediterranean-california, middle-rockies, mojave, montana, mt, mts, nd, ne, nebraska, nevada, new-mexico, nm, north-dakota, north-plains, northern-great-plains, northern-great-salt-lake-desert, northern-mountainous, northern-rocky-mountains, nv, or, oregon, plains, plateau, rangeland, rangeland-management, rocky-mountains, sagebrush, sd, shrub, shrubland, shrubland-change, shrubland-ecosystems, shrublands, sierra-nevada, sonoran, sonoran-desert, south-dakota, southern-great-salt-lake-desert, southern-rocky-mountains, southwest-tablelands, terrestrial-ecosystems, texas, the-rockies, three-forks, time-series, trends, tx, united-states, usgs-60b7871ad34e86b9388714b1, ut, utah, vegetation, vegetation-change, wa, wasatch, washington, western-us, wy, wyoming, wyoming-basin, yellowstone
Organization: Department of the Interior
GIS shapefile and related summary data describing irrigated agricultural land use for Lake, Marion, and Orange Counties, Florida for 2020

A Geographic Information System (GIS) shapefile and summary tables of irrigated agricultural land-use are provided for Lake, Marion, and Orange Counties, Florida compiled through a cooperative project between the U.S Geological Survey and the Florida Department of Agriculture and Consumer Services, Office of Agricultural Water Policy. Information provided in the shapefile includes the location of irrigated lands that were verified during field trips that started in January 2020 and concluded in December 2020, and the crop type, irrigation system type, and primary water source used. A map image of the shapefile is provided. Previously published estimates of irrigation acreage for years since 1982 are included in summary tables.

Tags: crop-type, environment, farming, florida, florida-department-of-agriculture-and-consumer-services, groundwater, image-collections-aerial-photography, inlandwaters, irrigation-type, lake-county, land-use, land-use-classification-codes, southwest-water-management-district, st-johns-river-water-management-district, surface-water, usgs-60ba7a02d34e86b9388d9a49
Organization: Department of the Interior
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across the Western U.S. 1985-2020 - Bare Ground

The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2020. The RCMAP product suite consists of eight fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub and rule-based error maps including the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. We used an updated version of the 2016 base training data, with a more aggressive forest mask and reduced shrub and sagebrush cover bias in pinyon-juniper woodlands. We pooled training data in areas and times identified as having no spectral change relative to the base year across all years in the time-series and used a series of procedures to remove the most spatially and temporally common values. We also used composite Landsat Analysis Ready Data (ARD) in seven regions instead of using individual images by path and row. An automated method to identify change in spectral conditions between each year in the Landsat archive and the circa 2016 base map, resulted in a robust and sensitivity of subtle changes. Yearly fractional component cover outputs were inserted in the changed area while the base year values were maintained in the unchanged area. Processing efficiency has been increased through use of open-source software and High-Performance Computing (HPC) resources. The mapping area included seven regions which were subsequently mosaicked for all eight components. 
These data can be used to answer critical questions regarding the influence of climate change and the suitability of management practices. Component products can be downloaded from www.mrlc.gov.

Tags: annual-herbaceous, arizona, arizona-plateau, az, back-in-time, bare-ground, big-sagebrush, biota, black-hills, blue-mountains, ca, california, chihuahuan, chihuahuan-desert, climate-change, co, colorado, colorado-plateau, columbia-plateau, desert, environment, geoscientificinformation, grand-canyon, grass, grassland-change, great-basin, gunnison, herbaceous, id, idaho, imagerybasemapsearthcover, litter, mediterranean-california, middle-rockies, mojave, montana, mt, mts, nd, ne, nebraska, nevada, new-mexico, nm, north-dakota, north-plains, northern-great-plains, northern-great-salt-lake-desert, northern-mountainous, northern-rocky-mountains, nv, or, oregon, plains, plateau, rangeland, rangeland-management, rocky-mountains, sagebrush, sd, shrub, shrubland, shrubland-change, shrubland-ecosystems, shrublands, sierra-nevada, sonoran, sonoran-desert, south-dakota, southern-great-salt-lake-desert, southern-rocky-mountains, southwest-tablelands, terrestrial-ecosystems, texas, the-rockies, three-forks, time-series, trends, tx, united-states, usgs-60b78643d34e86b938871460, ut, utah, vegetation, vegetation-change, wa, wasatch, washington, western-us, wy, wyoming, wyoming-basin, yellowstone
Organization: Department of the Interior
Monthly Dynamic Surface Water Extent MODIS (DSWEmod) Images for the Conterminous United States – 2019

Members from the U.S. Geological Survey (USGS) Patterns in the Landscape - Analyses of Cause and Effect (PLACE) team are releasing monthly surface water maps for the conterminous United States (U.S.) from 2003 through 2019 as 250-meter resolution geoTIFF files. The maps were produced using the Dynamic Surface Water Extent (DSWE) algorithm applied to daily Moderate Resolution Imaging Spectroradiometer (MODIS) imagery (DSWEmod) (Soulard et al., 2021) - see associated items. The DSWEmod model classifies the landscape (i.e., each MODIS pixel) into different classes of surface water based on quantified levels of confidence, including, i) high-confidence surface water (class 1), ii) moderate-confidence surface water (class 2), iii) potential wetland (class 3), and iv) low-confidence water/wetland (class 4), as well as a not-water class (class 0) and a no-data class (class 9).
This Child Item includes the monthly DSWEmod surface water maps for 2019. The image contains 12 bands, where each band represents a month from January (Band 1) to December (Band 12). The Parent Directory for this data release consists of a zipped folder which contains the monthly DSWEmod surface water maps from 2003 through 2019. There are 17 multi-band images within the zipped folder, equating to one image for each year from 2003 through 2019. Similar to this Child Item, each image consists of 12 bands, where each band value from 1-12 represents sequential months from January (Band 1) to December (Band 12). Each Child Item consists of a single year of DSWEmod surface water maps (e.g., DSWEmod_YearlyImages_2015) to allow for the user to download specific years rather than the full collection of DSWEmod data.

Tags: conterminous-united-states, dynamic-surface-water-extent, level-i-ecoregions, level-iii-ecoregions, mann-kendall-trend-analysis, moderate-resolution-imaging-spectroradiometer-modis, sens-slope, surface-water, usgs-60b6aea1d34e86b9388489f8
Organization: Department of the Interior
Monthly Dynamic Surface Water Extent MODIS (DSWEmod) Images for the Conterminous United States – 2018

Members from the U.S. Geological Survey (USGS) Patterns in the Landscape - Analyses of Cause and Effect (PLACE) team are releasing monthly surface water maps for the conterminous United States (U.S.) from 2003 through 2019 as 250-meter resolution geoTIFF files. The maps were produced using the Dynamic Surface Water Extent (DSWE) algorithm applied to daily Moderate Resolution Imaging Spectroradiometer (MODIS) imagery (DSWEmod) (Soulard et al., 2021) - see associated items. The DSWEmod model classifies the landscape (i.e., each MODIS pixel) into different classes of surface water based on quantified levels of confidence, including, i) high-confidence surface water (class 1), ii) moderate-confidence surface water (class 2), iii) potential wetland (class 3), and iv) low-confidence water/wetland (class 4), as well as a not-water class (class 0) and a no-data class (class 9).
This Child Item includes the monthly DSWEmod surface water maps for 2018. The image contains 12 bands, where each band represents a month from January (Band 1) to December (Band 12). The Parent Directory for this data release consists of a zipped folder which contains the monthly DSWEmod surface water maps from 2003 through 2019. There are 17 multi-band images within the zipped folder, equating to one image for each year from 2003 through 2019. Similar to this Child Item, each image consists of 12 bands, where each band value from 1-12 represents sequential months from January (Band 1) to December (Band 12). Each Child Item consists of a single year of DSWEmod surface water maps (e.g., DSWEmod_YearlyImages_2015) to allow for the user to download specific years rather than the full collection of DSWEmod data.

Tags: conterminous-united-states, dynamic-surface-water-extent, level-i-ecoregions, level-iii-ecoregions, mann-kendall-trend-analysis, moderate-resolution-imaging-spectroradiometer-modis, sens-slope, surface-water, usgs-60b6ae93d34e86b9388489f4
Organization: Department of the Interior
Monthly Dynamic Surface Water Extent MODIS (DSWEmod) Images for the Conterminous United States – 2017

Members from the U.S. Geological Survey (USGS) Patterns in the Landscape - Analyses of Cause and Effect (PLACE) team are releasing monthly surface water maps for the conterminous United States (U.S.) from 2003 through 2019 as 250-meter resolution geoTIFF files. The maps were produced using the Dynamic Surface Water Extent (DSWE) algorithm applied to daily Moderate Resolution Imaging Spectroradiometer (MODIS) imagery (DSWEmod) (Soulard et al., 2021) - see associated items. The DSWEmod model classifies the landscape (i.e., each MODIS pixel) into different classes of surface water based on quantified levels of confidence, including, i) high-confidence surface water (class 1), ii) moderate-confidence surface water (class 2), iii) potential wetland (class 3), and iv) low-confidence water/wetland (class 4), as well as a not-water class (class 0) and a no-data class (class 9).
This Child Item includes the monthly DSWEmod surface water maps for 2017. The image contains 12 bands, where each band represents a month from January (Band 1) to December (Band 12). The Parent Directory for this data release consists of a zipped folder which contains the monthly DSWEmod surface water maps from 2003 through 2019. There are 17 multi-band images within the zipped folder, equating to one image for each year from 2003 through 2019. Similar to this Child Item, each image consists of 12 bands, where each band value from 1-12 represents sequential months from January (Band 1) to December (Band 12). Each Child Item consists of a single year of DSWEmod surface water maps (e.g., DSWEmod_YearlyImages_2015) to allow for the user to download specific years rather than the full collection of DSWEmod data.

Tags: conterminous-united-states, dynamic-surface-water-extent, level-i-ecoregions, level-iii-ecoregions, mann-kendall-trend-analysis, moderate-resolution-imaging-spectroradiometer-modis, sens-slope, surface-water, usgs-60b6ae74d34e86b9388489ea
Organization: Department of the Interior
Monthly Dynamic Surface Water Extent MODIS (DSWEmod) Images for the Conterminous United States – 2016

Members from the U.S. Geological Survey (USGS) Patterns in the Landscape - Analyses of Cause and Effect (PLACE) team are releasing monthly surface water maps for the conterminous United States (U.S.) from 2003 through 2019 as 250-meter resolution geoTIFF files. The maps were produced using the Dynamic Surface Water Extent (DSWE) algorithm applied to daily Moderate Resolution Imaging Spectroradiometer (MODIS) imagery (DSWEmod) (Soulard et al., 2021) - see associated items. The DSWEmod model classifies the landscape (i.e., each MODIS pixel) into different classes of surface water based on quantified levels of confidence, including, i) high-confidence surface water (class 1), ii) moderate-confidence surface water (class 2), iii) potential wetland (class 3), and iv) low-confidence water/wetland (class 4), as well as a not-water class (class 0) and a no-data class (class 9).
This Child Item includes the monthly DSWEmod surface water maps for 2016. The image contains 12 bands, where each band represents a month from January (Band 1) to December (Band 12). The Parent Directory for this data release consists of a zipped folder which contains the monthly DSWEmod surface water maps from 2003 through 2019. There are 17 multi-band images within the zipped folder, equating to one image for each year from 2003 through 2019. Similar to this Child Item, each image consists of 12 bands, where each band value from 1-12 represents sequential months from January (Band 1) to December (Band 12). Each Child Item consists of a single year of DSWEmod surface water maps (e.g., DSWEmod_YearlyImages_2015) to allow for the user to download specific years rather than the full collection of DSWEmod data.

Tags: conterminous-united-states, dynamic-surface-water-extent, level-i-ecoregions, level-iii-ecoregions, mann-kendall-trend-analysis, moderate-resolution-imaging-spectroradiometer-modis, sens-slope, surface-water, usgs-60b6ae69d34e86b9388489e4
Organization: Department of the Interior
Monthly Dynamic Surface Water Extent MODIS (DSWEmod) Images for the Conterminous United States – 2014

Members from the U.S. Geological Survey (USGS) Patterns in the Landscape - Analyses of Cause and Effect (PLACE) team are releasing monthly surface water maps for the conterminous United States (U.S.) from 2003 through 2019 as 250-meter resolution geoTIFF files. The maps were produced using the Dynamic Surface Water Extent (DSWE) algorithm applied to daily Moderate Resolution Imaging Spectroradiometer (MODIS) imagery (DSWEmod) (Soulard et al., 2021) - see associated items. The DSWEmod model classifies the landscape (i.e., each MODIS pixel) into different classes of surface water based on quantified levels of confidence, including, i) high-confidence surface water (class 1), ii) moderate-confidence surface water (class 2), iii) potential wetland (class 3), and iv) low-confidence water/wetland (class 4), as well as a not-water class (class 0) and a no-data class (class 9).
This Child Item includes the monthly DSWEmod surface water maps for 2014. The image contains 12 bands, where each band represents a month from January (Band 1) to December (Band 12). The Parent Directory for this data release consists of a zipped folder which contains the monthly DSWEmod surface water maps from 2003 through 2019. There are 17 multi-band images within the zipped folder, equating to one image for each year from 2003 through 2019. Similar to this Child Item, each image consists of 12 bands, where each band value from 1-12 represents sequential months from January (Band 1) to December (Band 12). Each Child Item consists of a single year of DSWEmod surface water maps (e.g., DSWEmod_YearlyImages_2015) to allow for the user to download specific years rather than the full collection of DSWEmod data.

Tags: conterminous-united-states, dynamic-surface-water-extent, level-i-ecoregions, level-iii-ecoregions, mann-kendall-trend-analysis, moderate-resolution-imaging-spectroradiometer-modis, sens-slope, surface-water, usgs-60b6ae50d34e86b9388489db
Organization: Department of the Interior
Adult aquatic insect emergence, insect pesticide concentrations and water chemistry of wetlands in the Prairie Pothole Region, North Dakota, USA, 2015-16 (ver. 1.1, August 2025)

This data release includes sampling location data, field-collected wetland attribute data, field-collected water chemistry data, laboratory-processed water chemistry data (anions, cations, alkalinity, nutrients, chlorophyll a concentrations, dissolved organic carbon, and specific ultraviolet absorbance, pesticide concentrations), dry mass of adult aquatic insects emerging from the surface of the wetlands, taxonomic classifications of the insects collected, and whole-body pesticide concentrations for adult aquatic insects emerging from wadeable wetlands in cropland and grassland landscapes across a salinity/hydrology gradient (N = 14 wetlands in 2015, N = 15 wetlands in 2016). Sampling was completed in late spring, after ice off was complete and during the local bird breeding season. Wetlands were situated on 3 USFWS Waterfowl Protection Areas and 2 private farms in Stutsman County, North Dakota, USA.

Tags: agriculture, aquatic-insects, aquatic-terrestrial-linkages, biota, current-use-pesticides, emergence, emergence-traps, food-web, imidacloprid, insects, metamorphosis, north-dakota, pesticide-and-herbicide-contamination, pesticides, prairie-pothole-region, stutsman-county, usgs-60aeb01bd34e4043c853a2ea, wetland
Organization: Department of the Interior
Monthly Dynamic Surface Water Extent MODIS (DSWEmod) Images for the Conterminous United States – 2013

Members from the U.S. Geological Survey (USGS) Patterns in the Landscape - Analyses of Cause and Effect (PLACE) team are releasing monthly surface water maps for the conterminous United States (U.S.) from 2003 through 2019 as 250-meter resolution geoTIFF files. The maps were produced using the Dynamic Surface Water Extent (DSWE) algorithm applied to daily Moderate Resolution Imaging Spectroradiometer (MODIS) imagery (DSWEmod) (Soulard et al., 2021) - see associated items. The DSWEmod model classifies the landscape (i.e., each MODIS pixel) into different classes of surface water based on quantified levels of confidence, including, i) high-confidence surface water (class 1), ii) moderate-confidence surface water (class 2), iii) potential wetland (class 3), and iv) low-confidence water/wetland (class 4), as well as a not-water class (class 0) and a no-data class (class 9).
This Child Item includes the monthly DSWEmod surface water maps for 2013. The image contains 12 bands, where each band represents a month from January (Band 1) to December (Band 12). The Parent Directory for this data release consists of a zipped folder which contains the monthly DSWEmod surface water maps from 2003 through 2019. There are 17 multi-band images within the zipped folder, equating to one image for each year from 2003 through 2019. Similar to this Child Item, each image consists of 12 bands, where each band value from 1-12 represents sequential months from January (Band 1) to December (Band 12). Each Child Item consists of a single year of DSWEmod surface water maps (e.g., DSWEmod_YearlyImages_2015) to allow for the user to download specific years rather than the full collection of DSWEmod data.

Tags: conterminous-united-states, dynamic-surface-water-extent, level-i-ecoregions, level-iii-ecoregions, mann-kendall-trend-analysis, moderate-resolution-imaging-spectroradiometer-modis, sens-slope, surface-water, usgs-60b6ae43d34e86b9388489d6
Organization: Department of the Interior
Monthly Dynamic Surface Water Extent MODIS (DSWEmod) Images for the Conterminous United States – 2011

Members from the U.S. Geological Survey (USGS) Patterns in the Landscape - Analyses of Cause and Effect (PLACE) team are releasing monthly surface water maps for the conterminous United States (U.S.) from 2003 through 2019 as 250-meter resolution geoTIFF files. The maps were produced using the Dynamic Surface Water Extent (DSWE) algorithm applied to daily Moderate Resolution Imaging Spectroradiometer (MODIS) imagery (DSWEmod) (Soulard et al., 2021) - see associated items. The DSWEmod model classifies the landscape (i.e., each MODIS pixel) into different classes of surface water based on quantified levels of confidence, including, i) high-confidence surface water (class 1), ii) moderate-confidence surface water (class 2), iii) potential wetland (class 3), and iv) low-confidence water/wetland (class 4), as well as a not-water class (class 0) and a no-data class (class 9).
This Child Item includes the monthly DSWEmod surface water maps for 2011. The image contains 12 bands, where each band represents a month from January (Band 1) to December (Band 12). The Parent Directory for this data release consists of a zipped folder which contains the monthly DSWEmod surface water maps from 2003 through 2019. There are 17 multi-band images within the zipped folder, equating to one image for each year from 2003 through 2019. Similar to this Child Item, each image consists of 12 bands, where each band value from 1-12 represents sequential months from January (Band 1) to December (Band 12). Each Child Item consists of a single year of DSWEmod surface water maps (e.g., DSWEmod_YearlyImages_2015) to allow for the user to download specific years rather than the full collection of DSWEmod data.

Tags: conterminous-united-states, dynamic-surface-water-extent, level-i-ecoregions, level-iii-ecoregions, mann-kendall-trend-analysis, moderate-resolution-imaging-spectroradiometer-modis, sens-slope, surface-water, usgs-60b6ae11d34e86b9388489ca
Organization: Department of the Interior