AndreaBozzo/ceres-open-data-index huggingface dataset:
Utah Groundwater Conditions Web Product

The Utah Groundwater Conditions Web Product is a comprehensive digital tool designed to monitor and report on the groundwater conditions across Utah. Developed by the U.S. Geological Survey (USGS) for the Utah Department of Natural Resources, this web product integrates data from multiple public and private sources to provide an annual update on groundwater levels and usage. The web product gives easy visual access to groundwater pumpage estimates along with other data such as water levels, stream discharge, and precipitation records. The charts allow users to see trends as well as correlations between multiple data sets. This web product will be updated yearly and is available at https://warcapps.usgs.gov/gs-water/uwsc/ugcwa.

Tags: groundwater, groundwater-level, industrial-water-use, irrigation, public-supply-water-use, usgs-663c16ddd34e77890839c609, water-use
Organization: Department of the Interior
Occupancy surveys for the Temblor legless lizard (Anniella alexanderae) in the San Joaquin Valley, California 2022 to 2023

This dataset contains the survey effort by U.S. Geological Survey (USGS) biologists sampling for Temblor legless lizards (Anniella alexanderae) in 2022 and 2023, the results of those surveys, and environmental covariates relevant to detection and occupancy of this species. At the time of the species description, little was known about the distribution of the Temblor legless lizard beyond a few localities. Surveys were designed to gather information on the distribution of Temblor legless lizards to help inform a Species Status Assessment by the U.S. Fish and Wildlife Service. Binary values for each year indicate whether Temblor legless lizards were detected under cover boards at a site in that year (1) or were not detected at that site in that year (0). Non-detection of Temblor legless lizards at a site does not indicate with certainty that the species does not occur at a site, only that the species was not detected under cover boards at the time of survey. Survey effort includes the dates of surveys and number of surveys at each site in each year. Covariates relevant to detection of Temblor legless lizards include the substrate temperature and relative humidiity at the time of the survey, the time of day at which the survey was done, and the day of the field season on which the survey was done. Covariates that potentially influence occupancy of lizards include the distance to the nearest ephemeral stream (i.e., wash or arroyo) and the soil texture, including clay content, at the site.

Tags: biogeography, biota, california, ecology, fresno-county, kern-county, occupancy, reptiles, san-joaquin-valley, usgs-663bfe55d34e77890839c348
Organization: Department of the Interior
Expanded dataset of measurements to be used in evaluating consequences for flight control and stability induced by attachment of bio-logging devices to birds and bats

Bio-logging is central to study of wildlife, but questions remain about minimization of effects from bio-logging devices. Rarely considered are changes bio-logging devices induce on an animal’s center of mass (COM) and resulting losses of flight control and stability. In a related paper (Katzner and Young 2024), we applied established aeronautical principles to estimate how the COM of a flying bird or bat may be affected by typical positioning of a bio-logging device on the neck, back, hips, or tail. We then adopted modified thresholds from aerospace engineering to estimate limits beyond which changes to COM result in fitness-relevant alterations to flight control and stability. Here we provide measurements for other species, beyond the seven reported in Katzner and Young (2024).

Tags: avian, avian-flight, bio-logger, bio-logging, biota, birds, environment, flight-control, mass, plant-and-animal-tagging, raptors, telemetry, transmitter, usgs-663baa87d34e77890839bf1a, weight
Organization: Department of the Interior
Waterfowl (Anatidae) Brood Data, Maine, 1977 – 1994

Our data include detailed information about 12 species of Anatidae broods encountered on four study areas in Maine during 1977–94 as one dataset. The second dataset provides the characteristics of the wetlands which were monitored during the studies.  The third dataset enumerates the effort (such as numbers of visits to each wetland) to determine numbers of broods and the number of young that reached Class IIC-III to fledge.  Each wetland is described by size, pH, specific conductivity, and class according to the system of Cowardin and others (1979, Classification of wetlands and deepwater habitats of the United States, USFWS publication, 131 p.). 
More details of the datasets are included in the companion USGS Data Report.

Tags: biota, birds, usgs-663ba1f7d34e77890839bed0, wetlands
Organization: Department of the Interior
Drainage network for the Greater Raleigh Area, North Carolina, 2015-2022

As part of a collaborative study with the City of Raleigh, North Carolina, the U.S. Geological Survey developed a drainage network for the Greater Raleigh Area, North Carolina using the most recent available lidar data, representing the years 2015 and 2022. This dataset includes the delineated drainage network (drainage_network.zip) and rasters representing the breached and filled digital elevation model (raleigh_dem_fil.tif), the flow accumulation raster (raleigh_d8_fac.tif), and the flow direction raster (raleigh_d8_fdr.tif). Raster files are available as Cloud Optimized GeoTIFFs, meaning they are formatted to work on the cloud or can be directly downloaded. The drainage network was delineated for all locations with an upstream drainage area greater than 0.075 square kilometers (approximately 18.5 acres) and represents perennial streams, ephemeral streams, ditches, stream buried in pipes, and artificial paths through water bodies. This dataset was developed for use in the development of a model that can remotely predict streambank erosion potential along streams in the Greater Raleigh, NC Area. However, the drainage network and supporting raster files have the potential to be used in numerous applications including watershed delineation.

Tags: biota, digital-elevation-model, geospatial-analysis, geospatial-datasets, hydrology, lidar, north-carolina, raleigh, remote-sensing, stream, topography, upper-neuse, usgs-663ba02ed34e77890839bec6, wake-county, water-resources
Organization: Department of the Interior
UMRS Floodplain Inundation Depths (with gage drop) - Pool 13

Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present a time series of daily surface water inundation depths (in feet) for floodplain surfaces in the UMRS. The time series data are for the months of April through September for select years since 1940. These months were chosen because it approximates the period during which most biophysical processes such as vegetation metabolism and biogeochemical cycling are likely to be strongest across the longitudinal gradient of the UMRS. Data were generated without water surface elevations from the mid-pool gaging location at Sabula, IA due to missing data. Data were derived from a geospatial model of surface water inundation developed for the UMRS and described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628). We excluded areas permanently wetted (aquatic areas), surfaces in agricultural production, roads, and developed areas. The data are intended for use in geospatial analyses of UMRS floodplain ecosystem patterns and processes.

Tags: flood-plain, floods, freshwater-ecosystems, hydrology, river-systems, usgs-663d0e87d34e77890839e398
Organization: Department of the Interior
Coupled ADCIRC+SWAN simulations of Lake Superior with surface ice cover in February 2020

The analyses of the Great Lakes Environmental Research Laboratory's (GLERL) historical ice cover data during 1973–2021 indicate that warmer winters with reduced surface ice cover have become more frequent in the last two decades (1995–2021) compared to the previous decades (1973–1995) in the Great Lakes. In the past two decades, for example, years with lower-than-normal ice cover have become more frequent in Lake Superior, which has a history of freezing almost completely. These observations suggest a possible regime shift to a lower-ice state for this lake. It is hypothesized that the transition to a lower-ice state in the next decades may have significant implications for coastal hazards such as wave-induced coastal erosion and flooding, depending on surface ice-wave interactions and their possible effects on Lake Superior's hydrodynamics. The literature; however, lacks any effort that analyzes Lake Superior’s surface ice-wave interactions, resulting in limited knowledge on the dynamics of these interactions within this and similar lakes. In this regard, a set of numerical simulation were carried out using the coupled circulation and spectral wave model, ADCIRC (v55.01) +SWAN (41.31AB), to investigate the contribution of surface ice to lake-wide hydrodynamics, wave power, and wave runup in Lake Superior. Simulations specifically focused on the year 2020, known for its comparatively reduced surface ice cover in recent years, and the ice-wave interactions were quantified for February, the month with the largest surface ice cover. The coupled model was forced with Great Lakes Coastal Forecasting System (GLCFS) hourly wind field data, National Centers for Environmental Prediction Forecast System, version 2 (CFSv2) atmospheric pressure, GLER surface ice concentration, and U.S. National Ice Center (USNIC) thickness. The lake bathymetry used in the simulations was obtained from NOAA GLERL.

Tags: hydrodynamics, inlandwaters, lake-ice, lake-superior, laurentian-great-lakes, mathematical-modeling, oceans, sea-ice-concentration, surface-ice, united-states-of-america-usa, usgs-663b8088d34e77890839be47, water-circulation, water-level, wave-attenuation, wave-power, wave-runup, wave-surface-ice-interaction
Organization: Department of the Interior
Whooping crane use around Air Force Bases in Oklahoma, 2017-2022

The Aransas-Wood Buffalo population of whooping cranes migrates through the U.S. Great Plains twice annually, moving between wintering areas along coastal Texas and summering areas in and around Wood Buffalo National Park, Canada. These birds primarily migrate within a roughly 300-km-wide corridor that spans areas in Texas, Oklahoma, Kansas, Nebraska, South Dakota, North Dakota, and northwestern Montana in the U.S. The United States Air Force operates three bases in Oklahoma within the migration corridor of the whooping crane. These data support summarizations that identify temporal patterns of potential encounters, spatial patterns of use surrounding bases and regionally, and use of airspace by flying whooping cranes.

Tags: biota, birds, environment, migration-organisms, migratory-birds, plant-and-animal-tagging, usgs-663a77e9d34e77890839b1c5
Organization: Department of the Interior
Shorelines from 1947 to 2017 for the eastern Beaufort Sea coast of Alaska (U.S. Canadian Border to the Hulahula River) used in shoreline change analysis

This dataset includes historical shoreline positions that span 70 years, from 1947 to 2017, for the north coast of Alaska between the U.S. Canadian Border to the Hulahula River. Shorelines were compiled from topographic survey sheets (T-sheets; National Oceanic and Atmospheric Administration (NOAA)), aerial orthophotographs (U.S. Geological Survey (USGS), National Aeronautics and Space Administration (NASA), Conoco-Philips (CP), British Petroleum Alaska (BPXA), and NOAA), satellite imagery (U.S. Fish and Wildlife Service (USFWS) and State of Alaska), and lidar elevation data (USGS). Historical shoreline positions serve as easily understood features that can be used to describe the movement of beaches through time. These data are used to calculate rates of shoreline change. Rates of long-term (70 years) and short-term (less than 40 years) shoreline change were generated in a GIS using the Digital Shoreline Analysis System (DSAS) version 5.1. DSAS uses a measurement baseline method to calculate rate-of-change statistics. Transects are cast from the reference baseline to intersect each shoreline, establishing measurement points used to calculate shoreline change rates.

Tags: anwr, arctic, arctic-national-wildlife-refuge, barter-island, beaufort-sea, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, demarcation-bay, digital-shoreline-analysis-system, distributions, dsas, environment, geoscientificinformation, geospatial-datasets, hulahula-river, jago-river, kaktovik, north-slope, oceans, okpilak-river, pacific-coastal-and-marine-science-center, pcmsc, physical-chemical-features, shoreline, shoreline-accretion, shoreline-change, shoreline-erosion, state-of-alaska, u-s-geological-survey, united-states-of-america, usgs, usgs-663a5a13d34e77890839b079
Organization: Department of the Interior
Undersized Fire Mapping Program Thematic Burn Severity Mosaic for CONUS in 2018

This map layer is a thematic raster image of MTBS burn severity classes for all inventoried fires occurring in CONUS during calendar year 2018 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-66c643b2d34e0338828aaf35, wildfire, wildland-fire
Organization: Department of the Interior
Midshore baseline for the exposed eastern Beaufort Sea coast of Alaska (U.S. Canadian Border to the Hulahula River) generated to calculate shoreline change rates

This dataset includes a reference baseline used by the Digital Shoreline Analysis System (DSAS) to calculate rate-of-change statistics for the exposed, open-ocean coast of Alaska between the U.S. Canadian Border to the Hulahula River for the time period 1947 to 2017. This baseline layer serves as the starting point for all transects cast by the DSAS application and can be used to establish measurement points used to calculate shoreline-change rates.

Tags: anwr, arctic, arctic-national-wildlife-refuge, barter-island, beaufort-sea, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, demarcation-bay, digital-shoreline-analysis-system, distributions, dsas, environment, geoscientificinformation, geospatial-datasets, hulahula-river, jago-river, kaktovik, north-slope, oceans, okpilak-river, pacific-coastal-and-marine-science-center, pcmsc, physical-chemical-features, shoreline, shoreline-accretion, shoreline-change, shoreline-erosion, state-of-alaska, u-s-geological-survey, united-states-of-america, usgs, usgs-663a5822d34e77890839b073
Organization: Department of the Interior
Digital Shoreline Analysis System (DSAS) version 5.1 transects with short-term linear regression rate calculations for the exposed eastern Beaufort Sea coast of Alaska from the U.S. Canadian Border to the Hulahula River

This dataset consists of short-term (less than 39 years) shoreline change rates for the exposed, open-ocean coast of Alaska from the U.S. Canadian Border to the Hulahula River. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 5.1, an ArcGIS extension developed by the U.S. Geological Survey. Short-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1978 and 2017. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate short-term rates.

Tags: anwr, arctic, arctic-national-wildlife-refuge, barter-island, beaufort-sea, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, demarcation-bay, digital-shoreline-analysis-system, distributions, dsas, environment, geoscientificinformation, geospatial-datasets, hulahula-river, jago-river, kaktovik, north-slope, oceans, okpilak-river, pacific-coastal-and-marine-science-center, pcmsc, physical-chemical-features, shoreline, shoreline-accretion, shoreline-change, shoreline-erosion, state-of-alaska, u-s-geological-survey, united-states-of-america, usgs, usgs-663a5808d34e77890839b071
Organization: Department of the Interior
Digital Shoreline Analysis System (DSAS) version 5.1 transects with short-term linear regression rate calculations for the sheltered eastern Beaufort Sea coast of Alaska from the U.S. Canadian Border to the Hulahula River

This dataset consists of short-term (less than 39 years) shoreline change rates for the mainland coast of Alaska sheltered by barrier islands from the U.S. Canadian Border to the Hulahula River. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 5.1, an ArcGIS extension developed by the U.S. Geological Survey. Short-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1978 and 2017. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate short-term rates.

Tags: anwr, arctic, arctic-national-wildlife-refuge, barter-island, beaufort-sea, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, demarcation-bay, digital-shoreline-analysis-system, distributions, dsas, environment, geoscientificinformation, geospatial-datasets, hulahula-river, jago-river, kaktovik, north-slope, oceans, okpilak-river, pacific-coastal-and-marine-science-center, pcmsc, physical-chemical-features, shoreline, shoreline-accretion, shoreline-change, shoreline-erosion, state-of-alaska, u-s-geological-survey, united-states-of-america, usgs, usgs-663a57e7d34e77890839b06f
Organization: Department of the Interior
Digital Shoreline Analysis System (DSAS) version 5.1 transects with long-term linear regression rate calculations for the sheltered eastern Beaufort Sea coast of Alaska from the U.S. Canadian Border to the Hulahula River

This dataset consists of long-term (70 years) shoreline change rates for the mainland coast of Alaska sheltered by barrier islands from the U.S. Canadian Border to the Hulahula River. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 5.1, an ArcGIS extension developed by the U.S. Geological Survey. Long-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1947 and 2017. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate long-term rates.

Tags: anwr, arctic, arctic-national-wildlife-refuge, barter-island, beaufort-sea, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, demarcation-bay, digital-shoreline-analysis-system, distributions, dsas, environment, geoscientificinformation, geospatial-datasets, hulahula-river, jago-river, kaktovik, north-slope, oceans, okpilak-river, pacific-coastal-and-marine-science-center, pcmsc, physical-chemical-features, shoreline, shoreline-accretion, shoreline-change, shoreline-erosion, state-of-alaska, u-s-geological-survey, united-states-of-america, usgs, usgs-663a56c4d34e77890839b06b
Organization: Department of the Interior
Dataset Supporting the Manuscript: Debris avalanches in the northern California Coast Range triggered by plate boundary earthquakes

This dataset contains the raw data supporting the Bulletin of the Seismological Society of America article 'Debris avalanches in the northern California Coast Range triggered by plate boundary earthquakes.' It includes radiocarbon dating results from sampled tree rings for dendrochronology, landslide volume tables, and tree and scarp displacement measurements of Mule slide.

Tags: biota, debris-avalanche, dendrochronology, geomorphology, landslide, mule-slide, northern-coast-range, red-lassic, usgs-663a55f1d34e77890839b066, van-duzen-river
Organization: Department of the Interior
Shorelines from 1947 to 2017 for the central Beaufort Sea coast of Alaska (Hulahula River to the Colville River) used in shoreline change analysis

This dataset includes historical shoreline positions that span 70 years, from 1947 to 2017, for the north coast of Alaska between the Hulahula River and the Colville River. Shorelines were compiled from topographic survey sheets (T-sheets; National Oceanic and Atmospheric Administration (NOAA)), aerial orthophotographs (U.S. Geological Survey (USGS), National Aeronautics and Space Administration (NASA), Conoco-Philips (CP), British Petroleum Alaska (BPXA), and NOAA), satellite imagery (U.S. Fish and Wildlife Service (USFWS) and State of Alaska), and lidar elevation data (USGS). Historical shoreline positions serve as easily understood features that can be used to describe the movement of beaches through time. These data are used to calculate rates of shoreline change. Rates of long-term (70 years) and short-term (less than 40 years) shoreline change were generated in a GIS using the Digital Shoreline Analysis System (DSAS) version 5.1. DSAS uses a measurement baseline method to calculate rate-of-change statistics. Transects are cast from the reference baseline to intersect each shoreline, establishing measurement points used to calculate shoreline change rates.

Tags: anwr, arctic, arctic-national-wildlife-refuge, beaufort-sea, canning-river, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, colville-river, digital-shoreline-analysis-system, distributions, dsas, environment, geoscientificinformation, geospatial-datasets, harrison-bay, kuparuk-river, north-slope, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-chemical-features, prudhoe-bay, sagavanirktok-river, shoreline, shoreline-accretion, shoreline-change, shoreline-erosion, staines-river, state-of-alaska, u-s-geological-survey, united-states-of-america, usgs, usgs-663a5321d34e77890839b050
Organization: Department of the Interior