AndreaBozzo/ceres-open-data-index huggingface dataset:
Processed ADCP Current Depth Profiles, Flow Classification, and Power Law Parameters at Tidal Energy Sites

This dataset contains processed acoustic Doppler current profiler (ADCP) measurements from twenty energetic tidal energy sites in the United States, Scotland, and New Zealand, compiled for the 2025 publication Current Depth Profile Characterization for Tidal Energy Development (linked below). Measurements were sourced from peer-reviewed literature, the Marine and Hydrokinetic Data Repository, EMEC, and NOAA's C-MIST database, and were selected for sites with depth-averaged current speeds exceeding 1m/s. Data span a range of tidal cycles, depths (5-70m), and flow regimes, and have been quality-controlled, filtered, and transformed into principal flood and ebb flow directions. Each netCDF file corresponds to a single site, with file names based on the site codes defined in the publication. Satellite images are provided for all sites in resource "Site Maps".
Fourteen site files (listed below) have been updated and can be found within the included "Updated Sites NetCDF" resource.
- PI: Parris Island, South Carolina, USA
- ER: East River, New York, USA
- FWN: Fall of Warness (North), Scotland
- FWS: Fall of Warness (South), Scotland
- SP: Southport, North Carolina, USA
- SB: Sagamore Bridge, Massachusetts, USA
- FC: Fort Clinch, Florida, USA
- GWB: George Washington Bridge, New Jersey, USA
- RC: The Race, New York, USA
- I95: I-95 Bridge, Maine, USA
- NR: Tacoma Bridge, Washington, USA
- PW: Point Wilson, Washington, USA
- KI: Kalgin Island, Alaska, USA
-PSP: Point San Pablo, California, USA

The dataset classifies current depth profiles by shape, reports their prevalence by flow regime, and provides fitted power law parameters for monotonic profiles, along with metrics for non-monotonic profiles. Detailed descriptions of variables, units, and file naming conventions are provided in the dataset README. The submission complies with FAIR data principles: it is findable through the open-access PRIMRE Marine and Hydrokinetic Data Repository with a DOI; accessible via self-describing netCDF files readable in open-source tools such as Python and R; interoperable for integration with other applications and databases; and reusable through comprehensive documentation.

Tags: acoustic-doppler-current-profiler, adcp, bed-roughness-coefficient, current-depth-profile, ebb-currents, energy, flood-currents, hydrokinetic, marine, mhk, monotonic-profiles, netcdf, non-monotonic-profiles, power, power-law-parameters, processed-data, reynolds-number, tidal, tidal-energy, tidal-straining, velocity-profile-classification
Organization: Department of Energy
Utah FORGE: 16B(78)-32 RFS DSS Strain Change Rate and Selected FDIs During 16A(78)-32 Stimulation

This dataset contains strain change rate versus depth data acquired using a Rayleigh frequency shift (RFS) distributed strain sensing (DSS) system during hydraulic stimulation of well 16A(78)-32 at the Utah FORGE site in April 2024. The data were collected from an optical fiber installed in the annulus of production well 16B(78)-32, approximately 300 feet from the injection well. The dataset includes tabulated strain data, documentation of the methodology used to generate a frac log by integrating strain change rate signals over selected time windows to identify fracture events, and a spreadsheet of selected Fracture Driven Interactions (FDIs) identified from the same measurements.

The FDIs were derived from cross-well RFS DSS observations while stimulating well 16A(78)-32 and monitoring strain rate in well 16B(78)-32 using fiber cemented behind casing. Selected FDIs were high-graded and used to inform perforation cluster placement for stimulation of well 16B(78)-32, with selections made by Utah FORGE representatives under the guidance of Neubrex Energy Services (US), LLC, and a fiber installation consultant. Together, the dataset documents the acquisition, processing, and interpretation of cross-well strain measurements used to identify fracture-related strain features over approximately 1100 ft of the monitored wellbore.

Tags: 16a78-32, 16b78-32, cross-well-strain-monitoring, cumulative-strain-change-rate, depth-profile, dss, egs, energy, fdi, fiber-optic-sensing, fiber-optics, frac-hits, frac-log, fracture-driven-interactions, geomechanics, geothermal, hydraulic-stimulation, microstrain, neubrex, perforation-cluster, processed-data, rayleigh-frequency-shift, rfs, strain, strain-change, strain-change-rate, strain-frac-log, utah-forge
Organization: Department of Energy
National Forest System Trails (Feature Layer)

The Trails Layer is designed to provide information about National Forest System trail locations and characteristics to the public. When fully realized, it will describe trail locations, basic characteristics of the trail, and where and when various trail uses are prohibited, allowed and encouraged. Because the data readiness varies between Forests, each Forest will approve which level of attribute subset are published for that forest. Forests can provide no information or one of three attribute subsets describing trails. The attribute subsets include TrailNFS_Centerline which includes the location and trail name and number; TrailNFS_Basic which adds information about basic trail characteristics; and TrailNFS_Mgmt which adds information about where and when users are prohibited, allowed, and encouraged. When a Forest chooses to provide the highest attribute subset, TrailNFS_Mgmt, these attributes must be consistent with the Forest's published Motorized Vehicle Use Map (MVUM). Metadata for the individual Forest feature classes used to compile this feature class are available at data.fs.usda.gov/geodata/edw/dir_trails.php. <a href='https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.TrailNFS_Publish.xml' target='_blank' rel='nofollow ugc noopener noreferrer'>Metadata</a>

Tags: open-data, transportation
Organization: Department of Agriculture
National Wild and Scenic River Segments (Feature Layer)

This polyline feature class depicts the classification of each wild and scenic river segment designated by Congress and the Secretary of the Interior for the United States and Puerto Rico. This layer was created by a multi-agency effort including the US Forest Service, National Park Service, Bureau of Land Management and the Fish and Wildlife Service. The spatial data were referenced to the latest High Resolution National Hydrological Data Layer (NHD 1:24,000 Scale or better), published by United States Geological Survey (USGS). Wild rivers are free of dams, generally inaccessible except by trail, and represent vestiges of primitive America. Scenic rivers are free of dams, with shorelines or watersheds still largely primitive and shorelines largely undeveloped, but accessible in places by roads. Recreational rivers are readily accessible by road or railroad, may have some development along their shorelines, and may have been dammed in the past. <a href='https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.WildScenicRiverSegment_LN.xml' target='_blank' rel='nofollow ugc noopener noreferrer'>Metadata</a>

Tags: blm, fs, fws, hydrography, inland-waters, nhd, nps, open-data, recreation, river, scenic, wild, wild-and-scenic-rivers
Organization: Department of Agriculture
National Wild and Scenic River Lines (Feature Layer)

This polyline feature class depicts the river corridors of each Wild and Scenic River designated by Congress or the Secretary of the Interior for the United States and Puerto Rico. This GIS data layer was created from a mulit-agency effort by the US Forest Service, National Park Service, Bureau of Land Managment, and the US Fish and Wildlife Servce. The spatial data were referenced to the latest High Resolution National Hydrological Data Layer (NHD 1:24,000 Scale or better), published by United States Geological Survey (USGS). <a href='https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.WildScenicRiver_LN.xml' target='_blank' rel='nofollow ugc noopener noreferrer'>Metadata</a>

Tags: blm, fs, fws, hydrography, inland-waters, nhd, nps, open-data, recreation, river, scenic, wild, wild-and-scenic-rivers
Organization: Department of Agriculture
Wildfire Suppression Difficulty Index 80th Percentile 2025 (Image Service)

<div style='text-align:Left;'><div><div><p style='margin:0 0 0 0;'><span><span>Wildfire Suppression Difficulty Index (SDI) 97th Percentile is a rating of relative difficulty in performing fire control work under regionally appropriate fuel moisture and 20 mph uphill winds (@ 20 ft); Wildfire Suppression Difficulty Index (SDI) 90th Percentile is a rating of relative difficulty in performing fire control work under regionally appropriate fuel moisture and 15 mph uphill winds (@ 20 ft). Wildfire Suppression Difficulty Index (SDI) 80th Percentile is a rating of relative difficulty in performing fire control work under regionally appropriate fuel moisture and 10 mph uphill winds (@ 20 ft).</span></span></p><p><p style='margin:0 0 0 0;'><span><span>SDI factors in topography, fuels, expected fire behavior under prevailing conditions, fireline production rates in various fuel types with and without heavy equipment, and access via roads, trails, or cross-country travel. SDI does not account for standing snags or other overhead hazards to firefighters, so it is not a firefighter hazard map. It is only showing in relative terms where it is harder or easier to perform suppression work.</span></span></p><p style='margin:0 0 0 0;'><span /></p></div></div></div></p>

Tags: fire-suppression, fuels, landscape, sdi, wildfire
Organization: Department of Agriculture
Wildfire Suppression Difficulty Index 90th Percentile 2025 (Image Service)

<div style='text-align:Left;'><div><div><p style='margin:0 0 0 0;'><span><span>Wildfire Suppression Difficulty Index (SDI) 97th Percentile is a rating of relative difficulty in performing fire control work under regionally appropriate fuel moisture and 20 mph uphill winds (@ 20 ft); Wildfire Suppression Difficulty Index (SDI) 90th Percentile is a rating of relative difficulty in performing fire control work under regionally appropriate fuel moisture and 15 mph uphill winds (@ 20 ft). Wildfire Suppression Difficulty Index (SDI) 80th Percentile is a rating of relative difficulty in performing fire control work under regionally appropriate fuel moisture and 10 mph uphill winds (@ 20 ft).</span></span></p><p><p style='margin:0 0 0 0;'><span><span>SDI factors in topography, fuels, expected fire behavior under prevailing conditions, fireline production rates in various fuel types with and without heavy equipment, and access via roads, trails, or cross-country travel. SDI does not account for standing snags or other overhead hazards to firefighters, so it is not a firefighter hazard map. It is only showing in relative terms where it is harder or easier to perform suppression work.</span></span></p></div></div></div></p>

Tags: fire-suppression, fuels, landscape, sdi, wildfire
Organization: Department of Agriculture
Streamflow Permanence Class rasters (PROSPER), 2004-2016, (ver. 2.0, February 2019)

Streamflow Permanence Class (SPC) rasters represent the classification of the raw streamflow permanence probabilities produced by the PRObability of Streamflow PERmanence (PROSPER) model into categorical wet and dry classes, annually for years 2004 through 2016, and overall mean. Raw probabilities were classified into a -5 (dry) to +5 (wet) scale based on the spatially variable threshold (i.e., value that predicts the wet/dry break point) and confidence interval rasters. In general, the farther a raw probability value is from the threshold value for a given pixel, the farther the categorical value is from zero for that pixel. For example, a raw probability that is less than the threshold value minus the critical value for the 95-percent confidence interval for a given pixel would be assigned an SPC value of -5. Conversely, if a raw probability is greater than the threshold value plus the critical value associated with the 95-percent confidence interval for a given pixel, it would be assigned an SPC value of 5. The PROSPER model is a GIS raster-based empirical model of probabilistic predictions of a stream channel having year-round flow for any unregulated and minimally-impaired stream channel in the Pacific Northwest region, U.S. The model provides predictions of annual streamflow permanence probabilities at a 30-m spatial resolution based on monthly or annually updated values of climatic conditions and static physiographic variables associated with the upstream basin. Predictions correspond to pixels on the channel network consistent with the medium resolution National Hydrography Dataset channel network stream grid.

Tags: idaho, inlandwaters, montana, nevada, nhd-region-17, oregon, pacific-northwest, streamflow, usgs-5c12aabbe4b034bf6a85eb2a, utah, washington, wyoming
Organization: Department of the Interior
Wildfire Suppression Difficulty Index 97th Percentile 2025 (Image Service)

<div style='text-align:Left;'><div><div><p><span>Wildfire Suppression Difficulty Index (SDI) 97th Percentile is a rating of relative difficulty in performing fire control work under regionally appropriate fuel moisture and 20 mph uphill winds (@ 20 ft); Wildfire Suppression Difficulty Index (SDI) 90th Percentile is a rating of relative difficulty in performing fire control work under regionally appropriate fuel moisture and 15 mph uphill winds (@ 20 ft). Wildfire Suppression Difficulty Index (SDI) 80th Percentile is a rating of relative difficulty in performing fire control work under regionally appropriate fuel moisture and 10 mph uphill winds (@ 20 ft).</span></p><p><span /></p><p><span>SDI factors in topography, fuels, expected fire behavior under prevailing conditions, fireline production rates in various fuel types with and without heavy equipment, and access via roads, trails, or cross-country travel. SDI does not account for standing snags or other overhead hazards to firefighters, so it is not a firefighter hazard map. It is only showing in relative terms where it is harder or easier to perform suppression work.</span></p></div></div></div>

Tags: fire-suppression, fuels, landscape, sdi, wildfire
Organization: Department of Agriculture
High-Resolution Tree Cover of Kansas (2015)

<div style='text-align:Left;'><div><div><p><span><span>This data publication contains 2015 high-resolution land cover data for each of the 105 counties within Kansas. These data are a digital representation of land cover derived from 1-meter aerial imagery from the National Agriculture Imagery Program (NAIP). There is a separate file for each county. Data are intended for use in rural areas and therefore do not include land cover in cities and towns. Land cover classes (tree cover, other land cover, water, or city/town) were mapped using an object-based image analysis approach and supervised classification</span></span></p><p><span /></p></div></div></div>

Tags: cover, edw, enterprise-data-warehouse, high, iipp, interdepartmental-imagery-publication-platform, kansas, resolution, tree, us-forest-service, usfs
Organization: Department of Agriculture
National Land Cover Database (NLCD) Tree Canopy Cover (TCC) Hawaii

<div style='text-align:Left;'><div><div><p><span style='font-size:12pt'>The USDA Forest Service (USFS) builds two versions of percent tree canopy cover data, in order to serve needs of multiple user communities. These datasets encompass conterminous United States (CONUS), Coastal Alaska, Hawaii, and Puerto Rico and U.S. Virgin Islands (PRUSVI). The two versions of data within the v2023-5 TCC product suite include: The initial model outputs referred to as the Science data; And a modified version built for the National Land Cover Database and referred to as NLCD data. The NLCD product suite includes data for years 1985 through 2023. The NCLD data are processed to mask TCC from non-treed features such as water and non-tree crops, and to reduce interannual noise and smooth the NLCD time series. TCC pixel values range from 0 to 100 percent. The non-processing area is represented by value 254, and the background is represented by the value 255. The Science and NLCD tree canopy cover data are accessible for multiple user communities, through multiple channels and platforms. For information on the Science data and processing steps see the Science metadata. Information on the NLCD data and processing steps are included here. </span></p><p><span>Data Download and Methods Documents: </span><span> - https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/ </span></p></div></div></div>

Tags: 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, basemaps, continuous, digital-spatial-data, earthcover, environment, gis, hawaii, hi, imagery, national-geospatial-data-asset, ngda, nlcd, percent-tree-canopy, remote-sensing, tcc, tree-canopy-cover
Organization: Department of Agriculture
National Land Cover Database (NLCD) Tree Canopy Cover (TCC) Puerto Rico USVI

<div style='text-align:Left;'><div><div><p><span>The USDA Forest Service (USFS) builds two versions of percent tree canopy cover data, in order to serve needs of multiple user communities. These datasets encompass conterminous United States (CONUS), Coastal Alaska, Hawaii, and Puerto Rico and U.S. Virgin Islands (PRUSVI). The two versions of data within the v2023-5 TCC product suite include: The initial model outputs referred to as the Science data; And a modified version built for the National Land Cover Database and referred to as NLCD data. The NLCD product suite includes data for years 1985 through 2023. The NCLD data are processed to mask TCC from non-treed features such as water and non-tree crops, and to reduce interannual noise and smooth the NLCD time series. TCC pixel values range from 0 to 100 percent. The non-processing area is represented by value 254, and the background is represented by the value 255. The Science and NLCD tree canopy cover data are accessible for multiple user communities, through multiple channels and platforms. For information on the Science data and processing steps see the Science metadata. Information on the NLCD data and processing steps are included here. </span><span>Data Download and Methods Documents: </span><span> - https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/ </span></p></div></div></div>

Tags: 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, basemaps, continuous, digital-spatial-data, earthcover, environment, gis, imagery, national-geospatial-data-asset, ngda, nlcd, percent-tree-canopy, pr, prusvi, puerto-rico, remote-sensing, tcc, tree-canopy-cover, us-virgin-islands, usvi
Organization: Department of Agriculture
National Land Cover Database (NLCD) Tree Canopy Cover (TCC) Southeast Alaska

<div style='text-align:Left;'><div><div><p><span>The USDA Forest Service (USFS) builds two versions of percent tree canopy cover data, in order to serve needs of multiple user communities. These datasets encompass conterminous United States (CONUS), Coastal Alaska, Hawaii, and Puerto Rico and U.S. Virgin Islands (PRUSVI). The two versions of data within the v2023-5 TCC product suite include: The initial model outputs referred to as the Science data; And a modified version built for the National Land Cover Database and referred to as NLCD data. The NLCD product suite includes data for years 1985 through 2023. The NCLD data are processed to mask TCC from non-treed features such as water and non-tree crops, and to reduce interannual noise and smooth the NLCD time series. TCC pixel values range from 0 to 100 percent. The non-processing area is represented by value 254, and the background is represented by the value 255. The Science and NLCD tree canopy cover data are accessible for multiple user communities, through multiple channels and platforms. For information on the Science data and processing steps see the Science metadata. Information on the NLCD data and processing steps are included here. </span><span>Data Download and Methods Documents: </span><span> - https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/ </span></p></div></div></div>

Tags: 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, ak, alaska, basemaps, continuous, digital-spatial-data, earthcover, environment, gis, imagery, national-geospatial-data-asset, ngda, nlcd, percent-tree-canopy, remote-sensing, seak, southeastern-alaska, tcc, tree-canopy-cover
Organization: Department of Agriculture
Science Tree Canopy Cover (TCC) Hawaii

<div style='text-align:Left;'><div><div><p><span>The USDA Forest Service (USFS) builds two versions of percent tree canopy cover data, in order to serve needs of multiple user communities. These datasets encompass conterminous United States (CONUS), Coastal Alaska, Hawaii, and Puerto Rico and U.S. Virgin Islands (PRUSVI). The two versions of data within the v2023-5 TCC product suite include: The initial model outputs referred to as the Science data; And a modified version built for the National Land Cover Database and referred to as NLCD data. The NLCD product suite includes data for years 1985 through 2023. The NCLD data are processed to mask TCC from non-treed features such as water and non-tree crops, and to reduce interannual noise and smooth the NLCD time series. TCC pixel values range from 0 to 100 percent. The non-processing area is represented by value 254, and the background is represented by the value 255. The Science and NLCD tree canopy cover data are accessible for multiple user communities, through multiple channels and platforms. For information on the Science data and processing steps see the Science metadata. Information on the NLCD data and processing steps are included here. Data Download and Methods Documents: </span><span> - https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/ </span></p></div></div></div>

Tags: 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, basemaps, continuous, digital-spatial-data, earthcover, environment, gis, hawaii, hi, imagery, national-geospatial-data-asset, ngda, percent-tree-canopy, remote-sensing, tcc, tree-canopy-cover
Organization: Department of Agriculture