AndreaBozzo/ceres-open-data-index huggingface dataset:
Terrestrial Condition Assessment (TCA) Alaska Climate Exposure Temperature Spring (Map Service)

<span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>The difference in Spring temperature (F) between the reference time period of 1980-2014 and the current time period 2015-2019. Winter months include March, April, and May. Data used are sourced from DAYMET, Daily Surface Weather and Climatological Summaries, Oak Ridge National Laboratory. Data were summarized at the Subsection scale of the USFS National Hierarchy of Ecological Units and applied to the corresponding LTA.</span>

Tags: alaska, climate, gtac, open-data, spring, tca, temperature, usfs
Organization: Department of Agriculture
Forest Inventory and Analysis Below Ground Forest Biomass (Image Service)

<div style='text-align:Left;'><div><div><p><span>The U.S. has been providing national-scale estimates of forest carbon stocks and stock change to meet United Nations Framework Convention on Climate Change reporting requirements for years. Through application of a nearest-neighbor imputation approach, mapped estimates of forest biomass density were developed for the contiguous United States using the annual forest inventory conducted by the USDA Forest Service Forest Inventory and Analysis (FIA) program, MODIS satellite imagery, and ancillary geospatial datasets. This data product would contain the following 7 raster maps: Aboveground Forest Biomass, Belowground Forest Biomass, Forest Tree Bole Biomass, Forest Sapling Biomass, Forest Stump Biomass, Forest Top Biomass, Woodland Specias Biomass. All layers have a 250 meter pixel resolution and values represent biomass pounds per acre.  The paper on which these maps are based may be found here: https://dx.doi.org/10.2737/RDS-2013-0004  Access to full metadata and other information can be accessed here: https://dx.doi.org/10.2737/RDS-2013-0004</span></p></div></div></div>

Tags: __, analysis, atmosphere, below, biomass, biota, carbon, change, climate, climatology, conus, ecology, ecosystems, environment, fia, forest, ground, inventory, meteorology, monitoring, plant, soil, states, stocks, united
Organization: Department of Agriculture
Forest Inventory and Analysis Below Ground Forest Carbon (Image Service)

<div style='text-align:Left;'><div><div><p><span>Through application of a nearest-neighbor imputation approach, mapped estimates of forest carbon density were developed for the contiguous United States using the annual forest inventory conducted by the USDA Forest Service Forest Inventory and Analysis (FIA) program, MODIS satellite imagery, and ancillary geospatial datasets. This data product contains the following 8 raster maps: total forest carbon in all stocks, live tree aboveground forest carbon, live tree belowground forest carbon, forest down dead carbon, forest litter carbon, forest standing dead carbon, forest soil organic carbon, and forest understory carbon.</span></p><p><span>The paper on which these maps are based may be found here: https://dx.doi.org/10.2737/RDS-2013-0004.</span></p><p><span>Access to full metadata and other information can be accessed here: https://dx.doi.org/10.2737/RDS-2013-0004.</span></p></div></div></div>

Tags: analysis, atmosphere, basemaps, below, carbon, change, climate, climatology, conus, earthcover, ecology, ecosystems, environment, fia, forest, ground, imagery, inventory, meteorology, monitoring, plant, soil, states, stocks, united, usfs
Organization: Department of Agriculture
Forest Inventory and Analysis Dead Down Forest Carbon (Image Service)

The U.S. has been providing national-scale estimates of forest carbon stocks and stock change to meet United Nations Framework Convention on Climate Change reporting requirements for years. Although these currently are provided as national estimates by pool and year to meet greenhouse gas monitoring requirements, there is growing need to disaggregate these estimates to finer scales to enable strategic forest management and monitoring activities focused on various ecosystem services such as carbon (C) storage enhancement. Through application of a nearest-neighbor imputation approach, mapped estimates of forest carbon density were developed for the contiguous United States using the annual forest inventory conducted by the USDA Forest Service Forest Inventory and Analysis (FIA) program, MODIS satellite imagery, and ancillary geospatial datasets. This data product contains the following 8 raster maps: total forest carbon in all stocks, live tree aboveground forest carbon, live tree belowground forest carbon, forest down dead carbon, forest litter carbon, forest standing dead carbon, forest soil organic carbon, and forest understory carbon. The paper on which these maps are based may be found here: http://dx.doi.org/10.2737/RDS-2013-0004Access to full metadata and other information can be accessed here: http://dx.doi.org/10.2737/RDS-2013-0004

Tags: analysis, atmosphere, carbon, climate-change, climatology, conus, dead, down, ecology, ecosystems, environment, fia, forest, forest-service, inventory, meteorology, modis, monitoring, plant, soil, stocks, united-states, usfs
Organization: Department of Agriculture
Forest Inventory and Analysis Forest Litter Carbon (Image Service)

Through application of a nearest-neighbor imputation approach, mapped estimates of forest carbon density were developed for the contiguous United States using the annual forest inventory conducted by the USDA Forest Service Forest Inventory and Analysis (FIA) program, MODIS satellite imagery, and ancillary geospatial datasets. This data publication contains the following 8 raster maps: total forest carbon in all stocks, live tree aboveground forest carbon, live tree belowground forest carbon, forest down dead carbon, forest litter carbon, forest standing dead carbon, forest soil organic carbon, and forest understory carbon.

Tags: analysis, atmosphere, carbon, climate-change, climatology, conus, ecology, ecosystems, environment, forest, forest-service, inventory, litter, meteorology, monitoring, plant-ecology, soil, stocks, united-states, usfs
Organization: Department of Agriculture
Forest Inventory and Analysis Standing Dead Forest Carbon (Image Service)

Through application of a nearest-neighbor imputation approach, mapped estimates of forest carbon density were developed for the contiguous United States using the annual forest inventory conducted by the USDA Forest Service Forest Inventory and Analysis (FIA) program, MODIS satellite imagery, and ancillary geospatial datasets. This data product contains the following 8 raster maps: total forest carbon in all stocks, live tree aboveground forest carbon, live tree belowground forest carbon, forest down dead carbon, forest litter carbon, forest standing dead carbon, forest soil organic carbon, and forest understory carbon. The paper on which these maps are based may be found here: https://dx.doi.org/10.2737/RDS-2013-0004Access to full metadata and other information can be accessed here: https://dx.doi.org/10.2737/RDS-2013-0004

Tags: analysis, carbon, conus, dead, fia, forest, forest-service, inventory, standing, tree, usfs
Organization: Department of Agriculture
Translated System Requirements into PTO Design Requirements (in addition to Component-level metrics) for the HydroAir Power Take Off System

Includes Maximum Cost, Critical Dimensions and Weights, Damping Curve, Rotor Speed Profile Changes, Mechanical Power for a given pressure and airflow, Turbine rpm range and power, Generator input torque, Torque speed curves/profile, Generated electrical power for given input torque, Generated Load Cycles, Variation in generator speed, Conversion efficiencies for pressure to mechanical, mechanical to electrical: losses due to conditioning, Generator temperatures, Vibration/acceleration, Operating angle, Shaft strain, and Noise level.

Tags: design, design-requirements, dimensions, efficiency, energy, hydrokinetic, hydrokinetic-marine-energy-power, marine, mhk, operating-conditions, power, power-take-off, production, pto, system-requirments, wave-energy, wec
Organization: Department of Energy
Forest Inventory and Analysis Stump Forest Biomass (Image Service)

The U.S. has been providing national-scale estimates of forest carbon stocks and stock change to meet United Nations Framework Convention on Climate Change reporting requirements for years. Through application of a nearest-neighbor imputation approach, mapped estimates of forest biomass density were developed for the contiguous United States using the annual forest inventory conducted by the USDA Forest Service Forest Inventory and Analysis (FIA) program, MODIS satellite imagery, and ancillary geospatial datasets. This data product would contain the following 7 raster maps: Aboveground Forest Biomass, Belowground Forest Biomass, Forest Tree Bole Biomass, Forest Sapling Biomass, Forest Stump Biomass, Forest Top Biomass, Woodland Specias Biomass. All layers have a 250 meter pixel resolution and values represent biomass pounds per acre.  The paper on which these maps are based may be found here: https://dx.doi.org/10.2737/RDS-2013-0004  Access to full metadata and other information can be accessed here: https://dx.doi.org/10.2737/RDS-2013-0004

Tags: biomass, edw, fia, forest, stump, usfs
Organization: Department of Agriculture
Forest Inventory and Analysis Top Forest Biomass (Image Service)

The U.S. has been providing national-scale estimates of forest carbon stocks and stock change to meet United Nations Framework Convention on Climate Change reporting requirements for years. Through application of a nearest-neighbor imputation approach, mapped estimates of forest biomass density were developed for the contiguous United States using the annual forest inventory conducted by the USDA Forest Service Forest Inventory and Analysis (FIA) program, MODIS satellite imagery, and ancillary geospatial datasets. This data product would contain the following 7 raster maps: Aboveground Forest Biomass, Belowground Forest Biomass, Forest Tree Bole Biomass, Forest Sapling Biomass, Forest Stump Biomass, Forest Top Biomass, Woodland Specias Biomass. All layers have a 250 meter pixel resolution and values represent biomass pounds per acre.  The paper on which these maps are based may be found here: https://dx.doi.org/10.2737/RDS-2013-0004  Access to full metadata and other information can be accessed here: https://dx.doi.org/10.2737/RDS-2013-0004

Tags: biomass, edw, fia, forest, top, usfs
Organization: Department of Agriculture
Forest Inventory and Analysis Above Ground Forest Carbon (Image Service)

Through application of a nearest-neighbor imputation approach, mapped estimates of forest carbon density were developed for the contiguous United States using the annual forest inventory conducted by the USDA Forest Service Forest Inventory and Analysis (FIA) program, MODIS satellite imagery, and ancillary geospatial datasets. This data product contains the following 8 raster maps: total forest carbon in all stocks, live tree aboveground forest carbon, live tree belowground forest carbon, forest down dead carbon, forest litter carbon, forest standing dead carbon, forest soil organic carbon, and forest understory carbon. The paper on which these maps are based may be found here: https://dx.doi.org/10.2737/RDS-2013-0004

Tags: __, above, analysis, atmosphere, basemaps, carbon, change, climate, climatology, conus, cover, earth, ecology, ecosystems, environment, fia, forest, ground, imagery, inventory, meteorology, monitoring, plant, soil, states, stocks, united, usfs
Organization: Department of Agriculture
Forest Inventory and Analysis Above Ground Forest Biomass (Image Service)

<div style='text-align:Left;'><div><div><p><span>This Biomass and Carbon per Acre dataset was compiled for the 48-state CONUS Area in order to identify local, state and regional trends in forest cover and landscape composition. It can be used as a graphic, as inputs to GIS overlay procedures, or to summarize average or total amounts of forest attributes within analysis areas of interest. Through application of a nearest-neighbor imputation approach, mapped estimates of forest biomass density were developed for the contiguous United States using the annual forest inventory conducted by the USDA Forest Service Forest Inventory and Analysis (FIA) program, MODIS satellite imagery, and ancillary geospatial datasets. This data product contains the following 7 raster maps: Aboveground Forest Biomass, Belowground Forest Biomass, Forest Tree Bole Biomass, Forest Sapling Biomass, Forest Stump Biomass, Forest Top Biomass, Woodland Species Biomass. All layers have a 250 meter pixel resolution and values represent biomass pounds per acre.  The paper on which these maps are based may be found here: https://dx.doi.org/10.2737/RDS-2013-0004  Access to full metadata and other information can be accessed here: https://dx.doi.org/10.2737/RDS-2013-0004</span></p><p></div></div></div></p>

Tags: analysis, atmosphere, biomass, biota, carbon, climate-change, climatology, conus, ecology, ecosystems, environment, fia, forest, imagerybasemapsearthcover, inventory, meteorology, monitoring, plant-ecology, soil, stocks, united-states
Organization: Department of Agriculture
Forest Inventory and Analysis Sapling Forest Biomass (Image Service)

The U.S. has been providing national-scale estimates of forest carbon stocks and stock change to meet United Nations Framework Convention on Climate Change reporting requirements for years. Through application of a nearest-neighbor imputation approach, mapped estimates of forest biomass density were developed for the contiguous United States using the annual forest inventory conducted by the USDA Forest Service Forest Inventory and Analysis (FIA) program, MODIS satellite imagery, and ancillary geospatial datasets. This data product would contain the following 7 raster maps: Aboveground Forest Biomass, Belowground Forest Biomass, Forest Tree Bole Biomass, Forest Sapling Biomass, Forest Stump Biomass, Forest Top Biomass, Woodland Specias Biomass. All layers have a 250 meter pixel resolution and values represent biomass pounds per acre.  The paper on which these maps are based may be found here: https://dx.doi.org/10.2737/RDS-2013-0004  Access to full metadata and other information can be accessed here: https://dx.doi.org/10.2737/RDS-2013-0004

Tags: biomass, edw, fia, forest, sapling, usfs
Organization: Department of Agriculture
Forest Inventory and Analysis Woodland Species Forest Biomass (Image Service)

<div style='text-align:Left;'><div><div><p><span>The U.S. has been providing national-scale estimates of forest carbon stocks and stock change to meet United Nations Framework Convention on Climate Change reporting requirements for years. Through application of a nearest-neighbor imputation approach, mapped estimates of forest biomass density were developed for the contiguous United States using the annual forest inventory conducted by the USDA Forest Service Forest Inventory and Analysis (FIA) program, MODIS satellite imagery, and ancillary geospatial datasets. This data product would contain the following 7 raster maps: Aboveground Forest Biomass, Belowground Forest Biomass, Forest Tree Bole Biomass, Forest Sapling Biomass, Forest Stump Biomass, Forest Top Biomass, Woodland Specias Biomass. All layers have a 250 meter pixel resolution and values represent biomass pounds per acre.  The paper on which these maps are based may be found here: https://dx.doi.org/10.2737/RDS-2013-0004  Access to full metadata and other information can be accessed here: https://dx.doi.org/10.2737/RDS-2013-0004</span></p></div></div></div>

Tags: biomass, edw, fia, forest, species, usfs, woodland
Organization: Department of Agriculture
Forest Inventory and Analysis Bole Forest Biomass (Image Service)

The U.S. has been providing national-scale estimates of forest carbon stocks and stock change to meet United Nations Framework Convention on Climate Change reporting requirements for years. Through application of a nearest-neighbor imputation approach, mapped estimates of forest biomass density were developed for the contiguous United States using the annual forest inventory conducted by the USDA Forest Service Forest Inventory and Analysis (FIA) program, MODIS satellite imagery, and ancillary geospatial datasets. This data product would contain the following 7 raster maps: Aboveground Forest Biomass, Belowground Forest Biomass, Forest Tree Bole Biomass, Forest Sapling Biomass, Forest Stump Biomass, Forest Top Biomass, Woodland Specias Biomass. All layers have a 250 meter pixel resolution and values represent biomass pounds per acre.  The paper on which these maps are based may be found here: https://dx.doi.org/10.2737/RDS-2013-0004  Access to full metadata and other information can be accessed here: https://dx.doi.org/10.2737/RDS-2013-0004

Tags: biomass, bole, fia, forest, usfs
Organization: Department of Agriculture
Forest Inventory and Analysis Total Forest Carbon (Image Service)

Through application of a nearest-neighbor imputation approach, mapped estimates of forest carbon density were developed for the contiguous United States using the annual forest inventory conducted by the USDA Forest Service Forest Inventory and Analysis (FIA) program, MODIS satellite imagery, and ancillary geospatial datasets. This data product contains the following 8 raster maps: total forest carbon in all stocks, live tree aboveground forest carbon, live tree belowground forest carbon, forest down dead carbon, forest litter carbon, forest standing dead carbon, forest soil organic carbon, and forest understory carbon. The paper on which these maps are based may be found here: https://dx.doi.org/10.2737/RDS-2013-0004. Access to full metadata and other information can be accessed here: https://dx.doi.org/10.2737/RDS-2013-0004.

Tags: analysis, atmosphere, carbon, climate-change, climatology, conus, ecology, ecosystems, environment, fia, forest, forest-service, inventory, meteorology, plant-ecology, soil, stocks, total, united-states, usfs
Organization: Department of Agriculture
Forest Inventory and Analysis Understory Forest Carbon (Image Service)

Through application of a nearest-neighbor imputation approach, mapped estimates of forest carbon density were developed for the contiguous United States using the annual forest inventory conducted by the USDA Forest Service Forest Inventory and Analysis (FIA) program, MODIS satellite imagery, and ancillary geospatial datasets. This data product contains the following 8 raster maps: total forest carbon in all stocks, live tree aboveground forest carbon, live tree belowground forest carbon, forest down dead carbon, forest litter carbon, forest standing dead carbon, forest soil organic carbon, and forest understory carbon. The paper on which these maps are based may be found here: https://dx.doi.org/10.2737/RDS-2013-0004. Access to full metadata and other information can be accessed here: https://dx.doi.org/10.2737/RDS-2013-0004.

Tags: analysis, atmosphere, carbon, climate-change, climatology, conus, ecology, ecosystems, environment, fia, forest, forest-service, inventory, meteorology, plant-ecology, soil, stocks, understory, united-states, usfs
Organization: Department of Agriculture
Climate Shield Bull Trout (0% Brook Trout), 2080 (Feature Layer)

This feature class represents the end-of-century (2070-2099) scenario for bull trout, derived from the Climate Shield fish distribution models. These models provide stream-specific probabilistic predictions about the occurrence of juvenile bull trout and cutthroat trout in association with three different scenarios for climate change and brook trout invasions. These datasets indicate all potential cold-water habitats less than 11 degrees Celsius. The attribute fields BT_0BRK - BT_100BRK indicate the probabilities of bull trout occurrence within a cold-water habitat based on the prevalence of brook trout at 0%, 25%, 50%, 75%, or 100% of the sites within a habitat. The probabilities were predicted using the Climate Shield native trout models developed from known species occurrence in greater than 500 cold-water streams. The stream centerlines were based on the National Hydrography Dataset (NHD) but were modified for purposes of modeling and cross-walking to other datasets.

Tags: biota, bull-trout, climate-change, climate-shield, climatologymeteorologyatmosphere, crowd-sourcing, ectotherm, environment, geostatistics, health, inlandwaters, invasive-species, models, open-data, refugia, salmonid, species-distribution, stream-temperature, trout, usda-forest-service, usfs
Organization: Department of Agriculture
<b>Soil, crop, and weed communities as affected by soil erosion and topsoil replacement in a Mollisol landform (a six-year soil-landscape rehabilitation study)</b>

<p dir="ltr">These data provide field measurements at two geographical sites of plant and soil as affected by (a) tillage and water erosion and (b) replacement of translocated topsoil through soil-landscape rehabilitation. Data include pre-restoration soil properties, a digital elevation model, and tillage and water erosion estimates. Data reported after restoration include annual assessments of crop emergence, biomass and grain yield; soil physical, chemical, and biological properties; weed communities; and weather information. The Stevens County, Minnesota site was a heavily eroded site while the Roberts County, South Dakota site was moderately eroded. The data can be used to develop agronomic best management practices to improve crop production and to protect environmental and soil health. The data also could contribute to meta-analyses describing effects of erosion and soil-landscape rehabilitation (translocating soil from areas of net deposition to areas of net soil loss by erosion) on crop performance and changes in soil properties.</p>

Tags: corn, crop-production, crop-productivity, landscape-restoration, plant-nutrients, productivity, soil-carbon, soil-erosion, soil-fertility, soil-health, soil-profile, soil-restoration, soybean, spatial-variation, tillage-erosion, water-erosion
Organization: Department of Agriculture
Data, code, and outputs for: Holistic systems thinking underpins Vermont soil health practitioners’ preferences and beliefs

<p dir="ltr">Methodology for data collection and analysis is reported in: Hammond Wagner, C.R., White, A., Darby, H., Ewing, P., Faulkner, J., Fisher, B., Galford, G., Horner, C., Jones, W.D., Neher, D., Ritzenthaler, C., von Wettberg, E.B. & Zeraatpisheh, M. (2025). Holistic systems thinking underpins Vermont soil health practitioners’ preferences and beliefs. <i>Soil Security</i>, 19, 100186. https://doi.org/10.1016/j.soisec.2025.100186</p><p dir="ltr">Data archival consists of data, R scripts, and R projects for the analysis of two surveys from Vermont, USA:</p><p dir="ltr">Study 1: Vermont Soil Health Metrics Preferences Survey</p><ul><li>Data was collected in 2020</li><li>n = 62</li><li>Sample is a convenience sample of soil health practitioners, including farmers, researchers, government service providers, extension agents, technical service providers, and others</li><li>Dataset consists of quantitative closed ended ordinal and binary questions and qualitative open response questions</li><li>Questions cover soil health definitions, assessment methods, and preferred metrics for different decision contexts using the online Qualtrics survey platform.</li></ul><p><br></p><p dir="ltr">Study 2: Vermont Farmer and Conservation and Payment for Ecosystem Services Survey</p><ul><li>Data was collected in 2022</li><li>n = 179</li><li>Sample is a convenience sample of Vermont farmers</li><li>Dataset consists of quantitative closed ended ordinal and binary questions</li><li>Questions cover farmers’ soil health beliefs, stewardship motivations, farm demographics, and experience with soil testing</li></ul><p><br></p>

Tags: climate-change, conservation-agriculture, decision-making, farmer-perceptions, resilience, soil-health
Organization: Department of Agriculture