AndreaBozzo/ceres-open-data-index huggingface dataset:
Kauaʻi Rapid ʻŌhiʻa Death (ROD) Ambrosia Beetles 2020-2021

This data release includes data and metadata containing documentation of 1) ambrosia beetle (Coleoptera: Curculionidae) species caught in cross-vane panel traps (CVPT) in ʻōhiʻa (Metrosideros polymorpha) dominated forests with geographical locations and elevations and 2) ambrosia beetle species reared directly from cut ʻōhiʻa tree sections (bolts) infected with Rapid ʻŌhiʻa Death (ROD) causing pathogens at various elevations from Kauaʻi, HI USA. Data were used in a study describing bark and ambrosia beetles associated with ROD and ʻōhiʻa lehua forests on Kauaʻi.

Tags: ambrosia-beetle, biota, ceratocystis, frass, hawaii, ohia, rapid-ohia-death, usgs-64d06375d34ef477cf3be8b8
Organization: Department of the Interior
Projected future groundwater balance for California Central Coast under different scenarios of land-use and climate change

Tabular data output from a series of groundwater modeling simulations for five counties along the Central Coast of California, USA. We used a spatially explicit state-and-transition simulation model with stocks and flows that integrates climate, land-use change, human water use, and groundwater gain-loss to examine the impact of future climate and land use change on groundwater balance and water demand at 270-m resolution from 2010 to 2060. The model incorporated downscaled groundwater recharge projections based on a Warm/Wet and a Hot/Dry climate future using output from the Basin Characterization Model, a spatially explicit hydrological process-based model. Two urbanization projections from a parcel-based, regional urban growth model representing 1) recent historical and 2) state-mandated housing growth projections were used as alternative spatial targets for future urban growth. Agricultural projections were based on recent historical trends from remote sensing data. Annual projected changes in groundwater balance were calculated as the difference between land-use related water demand, based on historical estimates, and climate-driven recharge plus agriculture return flows to groundwater from excess irrigation. For each combination of the two climate and two land-use change scenarios, we ran 50 Monte Carlo realizations of the model. Results presented here have been aggregated from the individual cell level and summarized by county.

Tags: california, climate-change, groundwater, land-use-change, monterey-county, san-benito-county, san-luis-obispo-county, santa-barbara-county, santa-cruz-county, simulation-model, usgs-64cd3783d34ef477cf3a6e78, water-resources
Organization: Department of the Interior
New Source Rock Data for the Lewis Shale from the eastern part of the Southwestern Wyoming Province, Wyoming and Colorado

In 2021 the United States Geological Survey (USGS) sampled the lower part of the Upper Cretaceous Lewis Shale in the eastern part of the Southwestern Wyoming Province to better characterize its petroleum source rock potential for an upcoming resource assessment. Ninety-five samples from 24 wells were collected from well cuttings of the lower part of the Lewis Shale stored at the U.S. Geological Survey Core Research Center in Lakewood, Colorado. The selected wells are located near the shallow margins of the basin to obtain samples that were not subjected to the effects of deep burial and subsequent organic carbon loss due to thermal maturation as described by Daly and Edman (1987) (fig, 1). The sample intervals were selected based on high gamma ray responses that Pyles and Slatt (2007) interpreted to be organic-rich condensed sections. Special emphasis was given to the Asquith marker bed which represents the maximum transgression of the Lewis Shale (Pasternack, 2005) (fig. 2).

Tags: asquith-marker, colorado, geoscientificinformation, great-divide-basin, lewis-shale, programmed-pyrolysis-analysis, rocky-mountain-region, sand-wash-basin, total-organic-carbon, usgs-64cd1268d34ef477cf3a6e0b, washakie-basin, wyoming
Organization: Department of the Interior
Undersized Fire Mapping Program Thematic Burn Severity Mosaic (ver. 10.0, January 2025)

This map layer is a thematic raster image of MTBS burn severity classes for all inventoried fires occurring in CONUS during calendar year 2022 that do not meet standard MTBS size criteria. These data are published to augment the data that are available from the MTBS program. This product was produced using the methods of the Monitoring Trends in Burn Severity Program (MTBS), however these fires do not meet the size criteria for a standard MTBS assessment. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. MTBS typically maps fires using an initial assessment (immediately after the fire) or an extended assessment (peak of green the season after the fire) for low-biomass and high-biomass fires respectively. Refer to MTBS.gov for more information on MTBS methods and criteria. Standard MTBS mappings must meet the size criteria of at least 500 acres for the eastern states and territories and 1,000 acres for the western states and territories to be eligible for mapping. Undersized MTBS fires are those fires that do not meet the standard MTBS size criteria but are otherwise mapped using standard MTBS methodologies.

Tags: ak, alaska, burn-severity, burned-area, continental-u-s, conus, differenced-normalized-burn-ratio, fire-location, fire-occurrence, hawaii, hi, imagerybasemapsearthcover, landsat, location, normalized-burn-ratio, pr, prescribed-fire, puerto-rico, sentinel, united-states, us, usgs-64cd0304d34ef477cf3a69e5, wildfire, wildland-fire
Organization: Department of the Interior
Undersized Fire Mapping Program Burned Areas Boundaries for 1984-2022

This map layer is a vector polygon shapefile of the perimeters of all currently inventoried fires occurring between calendar year 1984 and 2022 that do not meet standard MTBS size criteria. These data are published to augment the data that are available from the MTBS program. This product was produced using the methods of the Monitoring Trends in Burn Severity Program (MTBS); however, these fires do not meet the size criteria for a standard MTBS assessment. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. MTBS typically maps fires using an initial assessment (immediately after the fire) or an extended assessment (peak of green the season after the fire) for low-biomass and high-biomass fires respectively. Refer to MTBS.gov for more information on MTBS methods and criteria. Standard MTBS mappings must meet the size criteria of at least 500 acres for the eastern states and territories and 1,000 acres for the western states and territories to be eligible for mapping. Undersized MTBS fires are those fires that do not meet the standard MTBS size criteria but are otherwise mapped using standard MTBS methodologies.

Tags: ak, alaska, burn-severity, burned-area, continental-u-s, conus, differenced-normalized-burn-ratio, fire-location, fire-occurrence, hawaii, hi, imagerybasemapsearthcover, landsat, location, normalized-burn-ratio, pr, prescribed-fire, puerto-rico, sentinel, united-states, us, usgs-64cd0289d34ef477cf3a69e2, wildfire, wildland-fire
Organization: Department of the Interior
Data on the detection of Epioblasma capsaeformis using a designed environmental DNA (eDNA) survey upstream and downstream of known populations in the Clinch River, Tennessee (2019 to 2021)

Data describe a designed environmental DNA (eDNA) survey for the detection of oyster mussel (Epioblasma capsaeformis) from field collected water samples. Parameters described include the limit of detection and limit of quantification of the assay; a list of freshwater mussel species tissue samples that were used to test specificity of the assay; and field collected water samples that were tested to detect the presence of oyster mussel DNA. Samples were collected from sites on the Clinch River, Tennessee from 2019 to 2021.

Tags: biota, environment, environmental-dna, freshwater-mussels, mollusks, usgs-64d0f602d34ef477cf3bf7b3, water-sampling
Organization: Department of the Interior
Undersized Fire Mapping Program Fire Occurrence Dataset (FOD) Point Locations from 1984 - 2022

This map layer is a vector point shapefile of the location of all currently inventoried fires occurring between calendar year 1984 and 2022 that do not meet standard MTBS size criteria. These data are published to augment the data that are available from the MTBS program. This product was produced using the methods of the Monitoring Trends in Burn Severity Program (MTBS), however these fires do not meet the size criteria for a standard MTBS assessment. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. MTBS typically maps fires using an initial assessment (immediately after the fire) or an extended assessment (peak of green the season after the fire) for low-biomass and high-biomass fires respectively. Refer to MTBS.gov for more information on MTBS methods and criteria. Standard MTBS mappings must meet the size criteria of at least 500 acres for the eastern states and territories and 1,000 acres for the western states and territories to be eligible for mapping. Undersized MTBS fires are those fires that do not meet the standard MTBS size criteria but are otherwise mapped using standard MTBS methodologies.

Tags: ak, alaska, burn-severity, burned-area, continental-u-s, conus, differenced-normalized-burn-ratio, fire-location, fire-occurrence, hawaii, hi, imagerybasemapsearthcover, landsat, location, normalized-burn-ratio, pr, prescribed-fire, puerto-rico, sentinel, united-states, us, usgs-64cd0205d34ef477cf3a69de, wildfire, wildland-fire
Organization: Department of the Interior
Gage Height, Turbidity, and Acoustic Backscatter Data Collected During Experimental Sediment Release from Willwood Dam on the Shoshone River in Park County, Wyoming, April 11-13, 2023

The Willwood Working Group Two of Wyoming conducted an experimental sediment release from Willwood Dam from April 11-13, 2023. The experiment involved opening sluice gates at the base of Willwood Dam to draw down the dam pool which created energy to mobilize sediment deposits behind the dam. The U.S. Bureau of Reclamation released up to 4,000 cubic feet per second from Buffalo Bill Dam into the Shoshone River on the morning of April 11 and continued this magnitude of release through April 13. The release was intended to keep released sediments from behind Willwood Dam mobilized so they did not deposit on the bed of the Shoshone River downstream from Willwood Dam. The U.S. Geological Survey (USGS) and Willwood Irrigation District took measurements of turbidity and acoustic backscatter (ABS) as surrogate measures of suspended sediment. The measurements were taken at and near discontinued USGS streamgage 06284010 and at a boat ramp approximately 2500 feet downstream from 06284010. This data release consists of gage height, turbidity, and acoustic backscatter data.

Tags: buffalo-bill-dam, dam, experimental-flood, flood, flushing-flow, irrigation, park-county, river, sediment, sediment-release, shoshone-river, usgs-650373d9d34eb6693be7a97e, willwood-dam, wyoming
Organization: Department of the Interior
Ground control points and GPS data collected in September 2023, pre and post Hurricane Lee at Head of the Meadow, Marconi, and Nauset Light beaches in CACO, MA

The data in this release map Marconi Beach, Head of the Meadow Beach, and Nauset Light Beach, in Cape Cod National Seashore (CACO), Massachusetts, before and after Hurricane Lee in September 2023. U.S Geological Survey personnel conducted field surveys to collect topographic data using global navigation satellite systems (GNSS) at all three beaches. In addition, at Nauset Light Beach, an uncrewed aerial system (UAS) was used to collect images with a Ricoh GRII camera for use in structure from motion photogrammetry. High-precision GNSS targets (AeroPoints) were used as ground control points (GCPs) for the UAS photogrammetry. Agisoft Metashape (v. 2.0.1) software was used to create a digital surface model and an orthomosaic from the collected imagery and GCPs. Photos were taken with smartphones for environmental context. This work was conducted under National Park Service Research Permit CACO-2020-SCI-0021.

Tags: aeropoints, cape-cod, cape-cod-national-seashore, cmhrp, coastal-and-marine-hazards-and-resources-program, coastcam, eastham, elevation, geolocation-measurement, geoscientificinformation, geospatial-datasets, global-positioning-system-gps-observations, gps-measurement, gps-navigation, head-of-the-meadow-beach, hurricane-lee, location, marconi-beach, massachusetts, national-park-service, nauset-light-beach, u-s-geological-survey, united-states, usgs, usgs-6511a358d34e823a0275dbdd, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Data on the acute and chronic toxicity of sodium chloride and sodium sulfate to freshwater organisms in a low hardness water representing Louisiana water conditions

We determined acute and chronic toxicity of sodium chloride (NaCl) and sodium sulfate (Na2SO4) to up to 7 freshwater species of different taxa in a hardness water of 40 mg/L as CaCO3 and evaluated the effect of 4 hardness waters (15, 30, 60, and 120 mg/L as CaCO3) on acute toxicity of NaCl and Na2SO4 to 3 sensitive species tested in the acute exposures. This data release reports results from acute and chronic exposures with Ceriodaphnia dubia (cerios), Chironomus dilutus (midge), Hyalella azteca (amphipod), Hyla versicolor (gray treefrog), Lampsilis abrupta (pink mucket), Lampsilis siliquoidea (fatmucket), and Pimephales promelas (fathead minnow. Date include survival, size, and other endpoints and associated water quality measurements.

Tags: aquatic-biology, bioassays, biota, ecotoxicology, endangered-species, usgs-65036b4cd34eb6693be7a912
Organization: Department of the Interior
USGS National and Global Oil and Gas Assessment Project—Raton Basin-Sierra Grande Uplift Province, Raton Continuous Resources: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables

This data release contains the boundaries of assessment units and input data for the assessment of undiscovered oil and gas resources in upper Cretaceous marine shales in the Raton Basin-Sierra Grande Uplift Province, Colorado and New Mexico. The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources.  The Assessment Unit is defined within the context of the higher-level Total Petroleum System.  The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type.  The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as reservoir rock, geologic structures, source rock, and seal lithologies.  The only exceptions to this are Assessment Units that border a Federal-State water boundary.  In these cases, the Federal-State water boundary forms part of the Assessment Unit boundary.  In addition to the shapefile, for U.S. assessments, allocation tables are provided that enumerate percentages assigned to various land categories. Machine-readable tables are also provided that contain the input and results for each assessment unit summarized in the USGS Fact Sheet. Methodology of assessments are documented in USGS Data Series 547 for continuous assessments (https://pubs.usgs.gov/ds/547) and USGS DDS69-D, Chapter 21 for conventional assessments (https://pubs.usgs.gov/dds/dds-069/dds-069-d/REPORTS/69_D_CH_21.pdf).  See supplemental information for a detailed list of files included this data release.

Tags: assessment-unit, continuous-assessment-unit, energy-resources, geology, geoscientificinformation, national-assessment-of-oil-and-gas, natural-gas, natural-gas-resources, noga2000, oil, oil-gas, oil-resources, petroleum, raton-niobrara-shale-gas, raton-niobrara-shale-oil, raton-pierre-shale-gas, raton-pierre-shale-oil, resource-assessment, state-of-colorado, state-of-new-mexico, unconventional-assessment-unit, united-states-of-america, usgs-6503431ed34eb6693be7984c
Organization: Department of the Interior
The North American Breeding Bird Survey, Analysis Results 1966 - 2022

This data product consists of a database of population change and abundance estimates for North American birds, estimated from North American Breeding Bird Survey (BBS) data.   Data are presented for 547 species of birds in 4 spreadsheets containing trend estimates and annual indices for 2 time periods.  Estimates are derived for each species using the 1 of 4 alternative models, and a cross-validation model selection procedure was used to select the best model for each species.   Metadata associated with this data product provides information specific to the associated analysis results; metadata for the BBS data are available at Ziolkowski, D.J., Lutmerding, M., English, W.B., Aponte, V.I., and Hudson, M-A.R., 2023, North American Breeding Bird Survey Dataset 1966 - 2022: U.S. Geological Survey data release, https://doi.org/10.5066/P9GS9K64.

Tags: biota, bird-annual-indices, bird-lists, bird-trend-estimates, breeding-bird-survey, breeding-bird-survey-analysis, canada, united-states-of-america, usgs-650325c9d34ed30c2058be3b
Organization: Department of the Interior
High-Resolution Land Cover Maps of Lāna‘i, Hawai‘i, 2020

This dataset provides high-resolution, species-specific land cover maps for the Hawaiian island of Lāna'i based on 2020 WorldView-2 satellite imagery. Machine learning models were trained on extensive ground control polygons and points. The land cover maps capture the distribution and diversity of vegetation with high accuracy to support conservation planning and monitoring.
This data release consists of two child items, one containing the field and expert collected ground control data used to train our models, and another consisting of resulting land cover maps for the island of Lāna‘i. The research effort that generated these input data, and products are carefully described in the associated manuscript Berio Fortini et al. 2024. Full citation is listed in the larger work section of this XML file.
Inputs:
Ground control polygons used for model training and evaluation 
Ground control points used for independent pixel-level model validation
Outputs:
Raster 1. Species-specific land cover map for the island of Lāna‘i, based on expert-adjusted class posterior probabilities.
Raster 2. Community-specific land cover map for the island of Lāna‘i, based on land cover classification including expert-adjusted class posterior probabilities.
Raster 3. Mixed hierarchical land cover map for the island of Lāna‘i, based on land cover classification including expert-adjusted class posterior probabilities.
Raster 4 (stack) Individual cover class membership probability maps.

Tags: biota, climatologymeteorologyatmosphere, conservation, hawaii, hawaiian-islands, invasive-species, land-cover, lnai, machine-learning, mapping, pacific-islands, remote-sensing, usgs-65023a30d34ed30c2058a838, vegetation
Organization: Department of the Interior
Data and R Code to Derive Estimates of Groundwater Levels Using MOVE.1 Regression and Compute Monthly Percentiles for Select Wells in Massachusetts

This data release contains extended estimates of daily groundwater levels and monthly percentiles at 27 short-term monitoring wells in Massachusetts. The Maintenance of Variance Extension Type 1 (MOVE.1) regression method was used to extend short-term groundwater levels at wells with less than 10 years of continuous data. This method uses groundwater level data from a correlated long-term monitoring well (index well) to estimate the groundwater level record for the short-term monitoring well. MOVE.1 regressions are used widely throughout the hydrologic community to extend flow records from streamgaging stations but are less commonly used to extend groundwater records at wells. The data in this data release document the results of the MOVE.1 regressions to estimate groundwater levels and compute updated monthly percentiles for select wells used in the groundwater index in the Massachusetts Drought Management Plan (2019). The U.S. Geological Survey (USGS) groundwater identification site numbers and groundwater level data are available via the USGS National Water Information System (NWIS) database (available at https://waterdata.usgs.gov/nwis). Groundwater levels provided are in depth to water level, in feet below land surface datum. This data release accompanies a USGS scientific investigations report that describes the methods and results in detail (Ahearn and Crozier, 2024).
Reference:
Massachusetts Executive Office of Energy and Environmental Affairs and Massachusetts Emergency Management Agency, 2019, Massachusetts drought management plan: Executive Office of Energy and Environmental Affairs, 115 p., accessed September 2022, at https://www.mass.gov/doc/massachusetts-drought-management-plan
The following are included in the data release: 
(1) R input file that lists the final site pairings (R_Input_MOVE1_Site_List.csv)
(2) R script that performs the MOVE.1 and produces outputs for evaluation purposes (MOVE1_R_code.R)
(3) MOVE.1 model outputs (MOVE1_Models.zip)
(4) Estimates of daily groundwater levels using the MOVE.1 regression technique  (MOVE1_Estimated_Record_Tables.zip)
(5) Plots showing time series of estimated daily groundwater levels from the MOVE.1 technique (MOVE1_Estimated_Record_Plots.zip)
(6) Plots showing time series of estimated daily groundwater levels from the MOVE.1 technique zoomed into the period of observed daily groundwater levels for the short-term site (Zoomed_MOVE1_Estimated_Record_Plots.zip)
(7) Plots showing residuals  (Residuals_WL_Plots.zip)
(8) Monthly percentile table for 27 study wells (GWL_Percentiles_All_Study_Wells.csv)

Tags: biota, groundwater, massachusetts, move-1, new-england, usgs-6501b656d34ed30c20589ffe
Organization: Department of the Interior