AndreaBozzo/ceres-open-data-index huggingface dataset:
Correlation-derived seismic phase arrival times from matched-filter studies of Yellowstone (Wyoming) 2017, Kilauea volcano (Hawaii) 2018, and Ridgecrest (California) 2019: A dataset for developing phase-picking neural networks

This dataset contains correlation-derived seismic phase arrival times from three different studies:
1. Maple Creek Earthquake Swarm, Yellowstone, Wyoming, June 11 to September 6, 2017:
Shelly, D. R., &amp; J. L. Hardebeck (2019). Illuminating faulting complexity of the 2017 Yellowstone Maple Creek earthquake swarm. Geophysical Research Letters, 46, 2544– 2552. https://doi.org/10.1029/2018GL081607
2. Kilauea summit eruption earthquake sequence, Hawaii, April 29 to August 6, 2018:
Shelly, D. R., &amp; W. A. Thelen (2019). Anatomy of a caldera collapse: Kīlauea 2018 summit seismicity sequence in high resolution. Geophysical Research Letters, 46, 14395– 14403. https://doi.org/10.1029/2019GL085636 (IP-113843, approved 11/19/2019 
Shelly, D.R., and W. A. Thelen, 2020, High resolution earthquake catalogs from the 2018 Kilauea eruption sequence: U.S. Geological Survey data release, https://doi.org/10.5066/P9DMIFMW
3. Ridgecrest earthquake sequence, California, July 4-16, 2019:
Shelly, D. R. (2020) A High‐Resolution Seismic Catalog for the Initial 2019 Ridgecrest Earthquake Sequence: Foreshocks, Aftershocks, and Faulting Complexity. Seismological Research Letters, 91 (4): 1971–1978. doi: https://doi.org/10.1785/0220190309 (IP-113928, approved 11/19/2019)
Shelly, D.R., 2020, A High-Resolution Seismic Catalog for the Initial 2019 Ridgecrest Earthquake Sequence: U.S. Geological Survey data release, https://doi.org/10.5066/P9JN6H0N.

Tags: earthquake, earthquake-hazards, ghsc, machine-learning, plate-tectonics, seismic, template-matching, usgs, usgs-667b1415d34e6151c9d6bcfd
Organization: Department of the Interior
Wyoming road age and traffic volume estimated with machine learning and graph theory

We provide a roads dataset that includes the spatial location of roads, the estimated age of each road, and the predicted traffic volume of each road between 1986 and 2020 in Wyoming, USA. Our annual estimates of traffic volume are available for each road and include estimates for all vehicles and truck only traffic. Moreover, we provide the estimated age of each road, where a minimum value of 1986 indicates that the road existed in 1986, and any later year indicates the most likely year that road was developed. This dataset will be beneficial for any research focused on the mechanistic effects of road traffic on wildlife populations. Our roads dataset is based on a comprehensive inventory of paved and unpaved roads in Wyoming of 2015 National Aerial Imagery Program (NAIP) aerial imagery (Fancher et al. 2023). We developed annual estimates of road age and vehicular traffic volume across 147,108 km of highways, arterials, collectors, local, and gravel/graded roads within the state of Wyoming. To assign road age, we leveraged a suite of ancillary data on surface disturbances (e.g., oil and gas drilling operations, wind turbines, and open pit mines) with known establishment dates. Then, we predicted traffic volume for each year across Wyoming using XGBoost, a novel machine learning method, to relate ongoing traffic monitoring by the Wyoming Department of Transportation with a separate set of spatial covariates hypothesized to explain traffic patterns across large regions.

Tags: aadt, highway, machine-learning, traffic, transportation, united-states-of-america, usgs-667b0626d34e6151c9d6b93e, wyoming
Organization: Department of the Interior
Post-fire plot-level vegetation cover measurements in the western United States

These data consist of plot-level plant species cover measurements from numerous targeted post-fire vegetation studies across the western United States. This data release includes two data tables. The first data table: 'postfire_vegplot_dataset.csv', consists of absolute percent live foliar cover measurements of all plant species within plots from targeted post-fire vegetation studies, or 'datasets', across the western United States. The second data table: 'dataset_information_table.csv', lists any citations, links to related publications, or other notes about data collection for specific datasets.

Tags: biota, controlled-fires, environment, fires, invasive-annual-grasses, invasive-species, plant-community-composition, prescribed-fire, usgs-667c313ed34e828a20a690a0, wildfire
Organization: Department of the Interior
Bat echolocation data recorded using Song Meter SM4 acoustic recorder and Echo Meter Touch 2 bat detector paired with insect prey availability, Grand Canyon National Park, Arizona, 2022

These data were compiled as part of an effort to compare the relative data quality and modeling performance of  bat data recorded with two different acoustic detectors. The objective of our study was to construct models evaluating the relative predictive quality of data collected by these two detectors. These data represent 48 paired sampling events where acoustic bat data was collected using a Song Meter SM4 Acoustic Recorder and with an Echo Meter Touch 2 bat detector in parallel with sampling insect prey using a light trap. These data were collected in Grand Canyon National Park between April 17 and October 10, 2022. These data were collected by several river guides through a community science program organized by the U.S. Geological Survey, Southwest Biological Science Center, Grand Canyon Monitoring and Research Center. These data can be used to compare the two acoustic methods to each other and relative to insect prey catch rates.

Tags: acoustic-data, aquatic-biology, aquatic-ecosystems, aquatic-insects, aquatic-terrestrial-linkages, bat-foraging, bats, biological-productivity, biota, citizen-science-programs, colorado-river, community-ecology, data-release, ecology, ecosystem-monitoring, field-inventory-and-monitoring, field-methods, food-web, foraging-ecology, glen-canyon-dam, grand-canyon, grand-canyon-national-park, havasupai-reservation, havasupai-tribe, hopi-tribe, hualapai-indian-reservation, hualapai-tribe, indigenous-land, inlandwaters, insect-emergence, insects, kaibab-band-of-paiute-indians, las-vegas-band-of-paiute-indians, navajo-nation, navajo-nation-reservation, paiute-indian-tribe-of-utah, pueblo-of-zuni, riparian-food-webs, san-juan-southern-paiute-tribe, sound-recordings, terrestrial-ecosystems, usgs-667af811d34e6151c9d6b28b, wetland-ecosystems, yavapai-apache-nation
Organization: Department of the Interior
EAARL Coastal Topography–Northwest Florida, Post-Hurricane Katrina, 2005: Bare Earth

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over northwest Florida, post-Hurricane Katrina (August 2005 hurricane), using the National Aeronautics and Space Administration (NASA) Experimental Advanced Airborne Research Lidar (EAARL), a pulsed laser ranging system mounted onboard an aircraft to measure ground elevation, vegetation canopy, and coastal topography. The system uses high-frequency laser beams directed at the Earth's surface through an opening in the bottom of the aircraft's fuselage. The laser system records the time difference between emission of the laser beam and the reception of the reflected laser signal in the aircraft. The plane travels over the target area at approximately 60 meters per second at an elevation of approximately 300 meters, resulting in a laser swath of approximately 240 meters with an average point spacing of 2-3 meters. The EAARL, developed originally by NASA at Wallops Flight Facility in Virginia, measures ground elevation with a vertical resolution of 3 centimeters. A sampling rate of 3 kilohertz or higher results in an extremely dense spatial elevation dataset. Over 100 kilometers of coastline can be surveyed easily within a 3- to 4-hour mission. When resultant elevation maps for an area are analyzed, they provide a useful tool to make management decisions regarding land development.

Tags: 2005, airborne-lidar-processing-system, alps, ascii-xyz-bare-earth, doi-usgs-cmg-gt-coastal-and-marine-geology-u-s-geological-survey-u-s-department-of-interior, eaarl, elevation, experimental-advanced-airborne-research-lidar, florida, geomorphology, gulf-of-mexico, land-surface-gt-topography-gt-terrain-elevation, laser-altimetry, lidar, lidar-gt-light-detection-and-ranging, ocean-gt-coastal-processes-gt-barrier-islands, ocean-gt-coastal-processes-gt-beaches, ocean-gt-coastal-processes-gt-shoreline-displacement, post-hurricane-katrina, remote-sensing, topography, usgs-667ae6c4-084d-4689-be38-b447cf83cd52, usgs-national-assessment-project
Organization: Department of the Interior
Annual burn severity mosaics for the southeastern United States (2000-2022)

The southeastern United States experiences frequent wild and prescribed fire activity. Mapped burn severity products in the southeastern U.S. face challenges accurately characterizing fire effects due to rapid post-fire recovery limiting observation windows, limited availability of cloud-free imagery, spectral confusion within wetland areas, and operational constraints. As mapped burn severity datasets are generally focused on large wildfires, the many small and prescribed fires of the Southeastern U.S. are not well-represented in existing burn severity products. Accurate and detailed characterization of burn severity across the region is significant to the estimation of fire-related emissions, measurement of fuel loads and aboveground carbon storage, and guiding land management activities. The U.S. Geological Survey (USGS) developed an algorithm to improve the prediction of post-fire burn severity within the southeastern United States. A burn severity model was developed utilizing over 5000 Composite Burn Inventory (CBI) plots, where post-fire impacts were characterized in the field for 232 unique fire events across the continental US. For each CBI plot location, predictor variables were generated from ARD Landsat scenes capturing first and second-order fire effects, climate norms, and fire seasonality. A gradient-boosted decision tree model was developed to predict post-fire burn severity as a CBI value (0-3), aligning field and satellite observations of fire effects. The model was applied to the extent of burned area identified by the Landsat Burned Area Product to generate annual (2000-2022) burn severity mosaics of predicted CBI burn severity for 78 ARD Landsat tiles encompassing the southeastern United States. These data provide an improved characterization of burn severity in the southeastern United States, with support for small and prescribed fire activity.

Tags: alabama, arkansas, burn-severity, composite-burn-index, florida, georgia, kentucky, landsat, louisiana, mississippi, north-carolina, post-fire, prescribed-fire, south-carolina, southeastern-united-states, tennessee, texas, usgs-6679ece1d34ebef1f8a8cdca, virginia, wildfire, wildland-fire
Organization: Department of the Interior
Evaluation of Lethal and Sublethal Effects of 6PPDQ on Coastal Cutthroat Trout (Oncorhynchus clarkii clarkii) (ver. 2.0, March 2025)

6PPD-Quinone (6PPDQ) was recently implicated in mass pre-spawn mortality events in adult coho salmon (Oncorhynchus kisutch) in the Pacific Northwest. Since then, studies have reported highly variable toxicity among fish species, including within the salmonids. This dataset explores the sensitivity of resident coastal cutthroat trout (Oncorhynchus clarkii clarkii) at three life stages: alevin, 5 mo. old parr, and 13 mo. old juveniles, and includes analytically measured concentrations for the exposures. In addition, 96-hour semi-static exposures and pulsed exposures were conducted in juvenile fish for comparison with the 24-hour toxicity and to mimic environmentally relevant storms, respectively. 24-hour sensitivity was also measured in juvenile coastal cutthroat trout from a different hatchery, and westslope cutthroat trout (Oncorhynchus clarkii lewisi) alevin and parr for comparison. 
We investigated two sublethal endpoints. After establishing a viral challenge model with infectious hematopoietic necrosis virus (IHNV) (Experiment 1), we measured virulence (mortality) and infection in 7 and 10 mo. old coastal cutthroat trout exposed to sublethal 6PPDQ concentrations followed by the viral challenge (Experiments 2 and 3). We also measured swimming performance in juvenile coastal cutthroat trout exposed to two 6PPDQ concentrations (Experiments 4 and 5).

Tags: ecotoxicology, fish, fisheries-biology, health, usgs-6679c367d34ea7c289a88263
Organization: Department of the Interior
LANDFIRE 2023 Historical Disturbance (HDist) AK

LANDFIRE (LF) disturbance products are developed to provide temporal and spatial information related to landscape change. Historical Disturbance (HDist) is developed from the base annual LF disturbance products, and attribute code system, to represent the history of disturbance for a 10-year span. Each year's disturbance scenarios are checked against time relevant LF vegetation products to check for logical inconsistencies. Errant codes are flagged and updated to a discard code with the remaining disturbance types cross-walked/aggregated to Fuel Disturbance (FDist) types.  
HDist includes the year of disturbance that is recorded for that pixel (see the HDIST_YR column in the attribute table). The HDist attribute table also contains an HDIST_ID field that is the disturbance year combined with the disturbance code. See the HDIST_CAT column for the FDist code combined with the disturbance code.

Tags: ak, alaska, biota, disturbance, fires, geographic-information-systems, geospatial-datasets, hazard-preparedness, hdist, historical-disturbance, image-collections, imagerybasemapsearthcover, landfire-2023, lf-2023, oconus, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-6679822ed34ea7c289a87db2
Organization: Department of the Interior
Suisun Bay bathymetric change: 1866 to 1990

This data release provides a series of four bathymetric change grids generated from historical bathymetric surveys collected in Suisun Bay, CA from the 1866 to 1990. The National Ocean Service (NOS) and its predecessor, the United States Coast and Geodetic Survey, collected hydrographic surveys in 1866, 1886, 1923, 1941, and 1990. Surface modeling software was used to generate bathymetric DEMs of each of these surveys. The bathymetric DEMs were then adjusted to account for gridding interpolation bias and changes in sea level through time. The adjusted DEMs for consecutive surveys were then differenced to reveal the amount of sediment erosion and deposition and changes from human activities (e.g., dredging, sand mining) that occurred through time. These bathymetric change grids are provided here in GeoTIFF format with a horizontal resolution of 25 meters and can be used to quantify net sediment volume change and rates of change throughout the bay.

Tags: bathymetry, bathymetry-and-elevation, central-san-francisco-bay, digital-elevation-model-dem, digital-elevation-models, elevation, geographic-information-systems, geographic-information-systems-gis, geospatial-datasets, global-positioning-system-gps-observations, gps-measurement, inlandwaters, san-francisco-bay, san-pablo-bay, single-beam-echo-sounder, south-san-francisco-bay, suisun-bay, topographic-mapping, topography, usgs-667605d7d34e3cf50fef28f8
Organization: Department of the Interior
Suisun Bay bathymetry: 1866 to 1990

This data release provides a series of five bathymetric digital elevation models (DEMs) of Suisun Bay, CA generated from single-beam hydrographic surveys collected from 1866 to 1990. The DEMs were constructed based upon historical United States Coast and Geodetic Survey and National Ocean Service (NOS) surveys collected in 1866, 1886, 1923, 1941, and 1990. Depth soundings from the pre-1930s surveys were manually digitized and georeferenced while the later surveys were obtained in digital format, and all information compiled into a geographic information system (GIS). Using surface modeling software, the soundings from each survey were supplemented with hand-drawn contours and shorelines obtained from topographic sheets to generate bathymetric DEMs at a horizontal resolution of 25 m. The bathymetric DEMs are provided in GeoTIFF format, vertically referenced to the Mean Lower Low Water (MLLW) tidal epoch referenced at the time of data collection.

Tags: bathymetry, bathymetry-and-elevation, central-san-francisco-bay, digital-elevation-model-dem, digital-elevation-models, elevation, geographic-information-systems, geographic-information-systems-gis, geospatial-datasets, global-positioning-system-gps-observations, gps-measurement, inlandwaters, san-francisco-bay, san-pablo-bay, single-beam-echo-sounder, south-san-francisco-bay, suisun-bay, topographic-mapping, topography, usgs-667605c1d34e3cf50fef28f6
Organization: Department of the Interior
Central San Francisco Bay bathymetric change: 1855 to 1979

This data release provides a series of four bathymetric change grids generated from historical bathymetric surveys collected in central San Francisco Bay, CA from the 1855 to 1979. The National Ocean Service (NOS) and its predecessor, the United States Coast and Geodetic Survey, collected hydrographic surveys in 1855, 1895, 1920, 1947, and 1979. Surface modeling software was used to generate bathymetric DEMs of each of these surveys. The bathymetric DEMs were then adjusted to account for gridding interpolation bias and changes in sea level through time. The adjusted DEMs for consecutive surveys were then differenced to reveal the amount of sediment erosion and deposition and changes from human activities (e.g., dredging, sand mining, and sediment placement) that occurred through time. These bathymetric change grids are provided here in GeoTIFF format with a horizontal resolution of 25 meters and can be used to quantify net sediment volume change and rates of change throughout the bay.

Tags: bathymetry, bathymetry-and-elevation, central-san-francisco-bay, digital-elevation-model-dem, digital-elevation-models, elevation, geographic-information-systems, geographic-information-systems-gis, geospatial-datasets, global-positioning-system-gps-observations, gps-measurement, inlandwaters, san-francisco-bay, san-pablo-bay, single-beam-echo-sounder, south-san-francisco-bay, suisun-bay, topographic-mapping, topography, usgs-66760496d34e3cf50fef28ef
Organization: Department of the Interior
Central San Francisco Bay bathymetry: 1855 to 1979

This data release provides a series of five bathymetric digital elevation models (DEMs) of central San Francisco Bay, CA generated from single-beam hydrographic surveys collected from 1855 to 1979. The DEMs were constructed based upon historical United States Coast and Geodetic Survey and National Ocean Service (NOS) surveys collected in 1855, 1895, 1920, 1947, and 1979. Depth soundings from the pre-1930s surveys were manually digitized and georeferenced while the later surveys were obtained in digital format, and all information compiled into a geographic information system (GIS). Using surface modeling software, the soundings from each survey were supplemented with hand-drawn contours and shorelines obtained from topographic sheets to generate bathymetric DEMs at a horizontal resolution of 25 m. The bathymetric DEMs are provided in GeoTIFF format, vertically referenced to the Mean Lower Low Water (MLLW) tidal epoch referenced at the time of data collection.

Tags: bathymetry, bathymetry-and-elevation, central-san-francisco-bay, digital-elevation-model-dem, digital-elevation-models, elevation, geographic-information-systems, geographic-information-systems-gis, geospatial-datasets, global-positioning-system-gps-observations, gps-measurement, inlandwaters, san-francisco-bay, san-pablo-bay, single-beam-echo-sounder, south-san-francisco-bay, suisun-bay, topographic-mapping, topography, usgs-66760468d34e3cf50fef28ec
Organization: Department of the Interior
South San Francisco Bay bathymetric change: 1858 to 2005

This data release provides a series of five bathymetric change grids generated from historical bathymetric surveys collected in south San Francisco Bay, CA from the 1858 to 2005. The National Ocean Service (NOS) and its predecessor, the United States Coast and Geodetic Survey, collected hydrographic surveys in 1858, 1898, 1931, 1956, and 1983 plus Sea Surveyor, Inc. collected a survey in 2005. Surface modeling software was used to generate bathymetric DEMs of each of these surveys. The bathymetric DEMs were then adjusted to account for gridding interpolation bias, changes in sea level through time, and ground subsidence that occurred in the Santa Clara Valley and lower South Bay from the 1930s to 1960s due to groundwater extraction. The adjusted DEMs for consecutive surveys were then differenced to reveal the amount of sediment erosion and deposition and changes from human activities (e.g., dredging and oyster shell mining) that occurred through time. These bathymetric change grids are provided here in GeoTIFF format with a horizontal resolution of 50 meters and can be used to quantify net sediment volume change and rates of change throughout the bay.

Tags: bathymetry, bathymetry-and-elevation, central-san-francisco-bay, digital-elevation-model-dem, digital-elevation-models, elevation, geographic-information-systems, geographic-information-systems-gis, geospatial-datasets, global-positioning-system-gps-observations, gps-measurement, inlandwaters, san-francisco-bay, san-pablo-bay, single-beam-echo-sounder, south-san-francisco-bay, suisun-bay, topographic-mapping, topography, usgs-667603ffd34e3cf50fef28e8
Organization: Department of the Interior
San Pablo Bay bathymetric change: 1856 to 1983

This data release provides a series of five bathymetric change grids generated from historical bathymetric surveys collected in San Pablo Bay, CA from the 1856 to 1983. The National Ocean Service (NOS) and its predecessor, the United States Coast and Geodetic Survey, collected hydrographic surveys in 1856, 1887, 1898, 1922, 1951, and 1983. Surface modeling software was used to generate bathymetric DEMs of each of these surveys. The bathymetric DEMs were then adjusted to account for gridding interpolation bias and changes in sea level through time. The adjusted DEMs for consecutive surveys were then differenced to reveal the amount of sediment erosion and deposition and changes from human activities (e.g., dredging, sediment placement) that occurred through time. These bathymetric change grids are provided here in GeoTIFF format with a horizontal resolution of 25 meters and can be used to quantify net sediment volume change and rates of change throughout the bay.

Tags: bathymetry, bathymetry-and-elevation, central-san-francisco-bay, digital-elevation-model-dem, digital-elevation-models, elevation, geographic-information-systems, geographic-information-systems-gis, geospatial-datasets, global-positioning-system-gps-observations, gps-measurement, inlandwaters, san-francisco-bay, san-pablo-bay, single-beam-echo-sounder, south-san-francisco-bay, suisun-bay, topographic-mapping, topography, usgs-66760621d34e3cf50fef28fc
Organization: Department of the Interior