AndreaBozzo/ceres-open-data-index huggingface dataset:
California Pronghorn Clear Lake Migration Corridors

The Clear Lake herd contains migrants, but this herd does not migrate between traditional summer and winter seasonal ranges. Instead, much of the herd displays a nomadic tendency, slowly migrating north, east, or south for the summer using various high use areas as they move. Therefore, annual ranges were modeled using year-round data to demarcate high use areas in lieu of modeling specific winter ranges. The areas adjacent to Clear Lake Reservoir were heavily used during winter by many of the collared animals. A few collared individuals persisted west of State Route 139 year-round, seemingly separated from the rest of the herd due to this highway barrier. However, some pronghorn cross this road near Cornell and join this subgroup. Summer ranges are spread out, with many individuals moving southeast through protected forests or over the state border into Oregon. A few outliers in the herd moved long distances south, crossing State Route 139 to Oak Ridge, or east into Likely Tables pronghorn herd areas. Drought, increasing fire frequency, invasive annual grasses, and juniper encroachment negatively affect pronghorn habitat. Recent population surveys indicate a declining population (Trausch and others, 2020). Juniper removal on public and private lands has potential to improve habitat quality and potentially reduce predation (Ewanyk, 2020).
These mapping layers show the location of the migration corridors for pronghorn (Antilocapra americana) in the Clear Lake population in California. They were developed from 72 migration sequences collected from a sample size of 23 animals comprising GPS locations collected every 1-6 hours.

Tags: animal-behavior, biota, california, cornell, migration-organisms, migratory-species, united-states, usgs-6584b49fd34eff134d42d9ca
Organization: Department of the Interior
Shapefiles for the Wabash River at Memorial Bridge at Vincennes, Indiana

Digital flood-inundation maps for a 10.2-mile reach of the Wabash River at Memorial Bridge at Vincennes, Indiana, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Office of Community and Rural Affairs. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Wabash River at Memorial Bridge at Vincennes, Indiana (station number 03343010). Near-real-time stages at this streamgage may be obtained from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at http://water.weather.gov/ahps/, which also forecasts flood hydrographs at this site (VCNI3).
Flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The hydraulic model was calibrated by using the most current stage-discharge relation at the Wabash River at Memorial Bridge at Vincennes, Ind., streamgage. The calibrated hydraulic model was then used to compute 19 water-surface profiles for flood stages referenced to the streamgage datum and ranging from 10.0 feet, or near bankfull, to 28 feet, the highest stage of the stage-discharge rating curve. The simulated water-surface profiles were then combined with a Geographic Information System digital elevation model (derived from light detection and ranging [lidar] data having a 0.98-foot vertical accuracy and 4.9-foot horizontal resolution) to delineate the area flooded at each water level.

Tags: flood, geospatial-analysis, usgs-59944de1e4b0fe2b9fe9130b, vincennes-in, wabash-river-at-memorial-bridge
Organization: Department of the Interior
Saturated Thickness in the Alluvium of the Lower Arkansas Valley, Southeast Colorado, Fall 2002

Raster dataset showing saturated thickness (in feet) of the alluvium in the Lower Arkansas River Valley, Southeast Colorado, June 1 - November 30, 2002 (hereafter defined as "fall"). Saturated thickness values based on water levels measured in the study area and median lake level at John Martin Reservoir during this time period. Surface interpolations for water-table altitude were done using Inverse Distance Weighting using coordinate and altitude data from "Wells and water-level altitude in the alluvium in the Lower Arkansas River Valley, Southeast Colorado, Spring and Fall 2002, 2008, and 2015" (see cross reference section in metadata), and surface interpolation of bedrock was done using Topo to Raster using elevation (20-ft contours) from "Bedrock contours underlying the alluvium of the Lower Arkansas River Valley, Southeast Colorado" (see cross reference section in metadata) in ArcGIS Desktop v10 (Environmental Systems Research Institute, 2011).

Tags: alluvium, arkansas-river, bent-county, crowley-county, groundwater-level, hydrogeology, otero-county, prowers-county, pueblo-county, usgs-58e2b870e4b09da67996a979
Organization: Department of the Interior
Nutrient Load Data used to Quantify Regional Effects of Agricultural Best Management Practices: An application of the 2012 SPARROW models for the Midwest, Northeast, and Southeast United States

Nitrogen and phosphorus losses from agricultural areas have impacted the water quality of downstream rivers, lakes, and oceans. As a result, investment in the adoption of agricultural best management practices (BMPs) has grown but assessments of their effectiveness at large spatial scales have been sparse. This study applies regional Spatially Referenced Regression On Watershed-attributes (SPARROW) models developed for the Midwest, Northeast, and Southeast regions of the United States to quantify regional effects of BMPs on nutrient losses from agricultural lands. These models were used because they account for specific BMPs in the prediction of instream nutrient loads. This data release accompanies the journal article "Quantifying regional effects of best management practices on nutrient losses from agricultural lands" (https:// doi:10.5066/pending), and it contains the input and output data for the modeling scenarios that were evaluated relative to the 2012 regional SPARROW models.

Tags: environment, hydrology, inlandwaters, mathematical-modeling, midwest, northeast, southeast, spatial-analysis, usgs-6059112dd34e1894882f7adc
Organization: Department of the Interior
Ground Penetrating Radar and Global Positioning System Data Collected from Fire Island, New York, March-April 2021

Fire Island, New York (NY) is a 50-kilometer (km) long barrier island system fronting the southern coast of Long Island, NY with relatively complex geology. In 2016, the U.S. Geological Survey (USGS) conducted ground penetrating radar (GPR) surveys and sediment sampling at Fire Island to characterize and quantify spatial variability in the subaerial geology (Forde and others, 2018; Buster and others, 2018). These surveys, in combination with historical data, allowed for a preliminary reconstruction of the barrier’s long-term evolution. In 2021, scientists from the USGS New York Water Science Center (NYWSC), on behalf of the USGS St. Petersburg Coastal and Marine Science Center (SPCMSC), conducted additional GPR and sediment sampling surveys at Point O' Woods (POW) and Ho-Hum Beach (HHB) on Fire Island to fill in gaps in the timeline of Fire Island’s development and illuminate relationships between different geomorphic structures observed along the island. This information will be used to calibrate a model of barrier island development, quantifying historic sediment fluxes within the Fire Island system.

Tags: 2021-312-fa, bathymetry-and-elevation, coastal-processes, distributions, effects-of-coastal-change, electromagnetic-conductivity-measurements, electromagnetic-surveying, fire-island-national-seashore, fire-island-wilderness, geology, geoscientificinformation, ground-penetrating-radar, hazards, long-island, marine-geology, new-york, oceans, physical-habitats-and-geomorphology, subsurface-profile, topographic-mapping, united-states, usgs-708afe9c-97f0-4e62-8e62-bd006cad8e88
Organization: Department of the Interior
Bathymetric measurements of Little Holland Tract, Sacramento-San Joaquin Delta, California, 2015, from personal watercraft

Bathymetric data were collected by the U.S. Geological Survey (USGS) in 2015 for Little Holland Tract in the Sacramento-San Joaquin River Delta, California. The data were collected using a personal watercraft (PWC) platform that consisted of Trimble R7 Global Navigation Satellite System (GNSS) receivers with Zephyr 2 antennas, combined with Odom Echotrac CV-100 single-beam echosounders and 200 kHz transducers. Data was post-processed to remove spurious data points. Raw depths were converted to ellipsoid elevations in the data acquisition software. Orthometric elevations relative to NAVD88 were computed using National Geodetic Survey Geoid12a offsets, and the final data were projected in Cartesian coordinates using the UTM Zone 10 North (meters) (NAD83[2011]) coordinate system. The mean estimated vertical uncertainty of the 2015 USGS PWC survey is 6.1 cm.

Tags: bathymetry, bathymetry-and-elevation, bathymetry-measurement, echo-sounders, elevation, global-positioning-system-gps-observations, gps-global-positioning-system, gps-measurement, liberty-island, little-holland-tract, sacramento-river-deep-water-ship-channel, sacramento-san-joaquin-delta, single-beam-echo-sounder, solano-county, usgs-56671eb2e4b06a3ea36c8bf2, water-depth, yolo-county
Organization: Department of the Interior
Digital Shoreline Analysis System version 4.3 Transects with Long-Term Linear Regression Rate Calculations for Mississippi

Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate.  Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion.  As a result, there is an increased demand for accurate information regarding past and present shoreline changes.  To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change project.
There is no widely accepted standard for analyzing shoreline change.  Existing shoreline data measurements and rate calculation methods vary from study to study and prevent combining results into state-wide or regional assessments.  The impetus behind the National Assessment project was to develop a standardized method of measuring changes in shoreline position that is consistent from coast to coast.  The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner.

Tags: accretion, cat-island, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, effects-of-coastal-change, environment, erosion, geoscientificinformation, gulf-of-mexico, historic-shoreline, horn-island, linear-regression-rate, long-term-shoreline-change-rate, mississippi, ms, national-assessment-of-shoreline-change-project, north-america, oceans, petit-bois-island, ship-island, shoreline, shoreline-accretion, shoreline-erosion, transect, u-s-geological-survey, united-states, usgs, usgs-582ca4d6e4b04d580bd37925, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
DCpts, DTpts, SLpts: Dune crest, dune toe, and mean high water shoreline positions: Assawoman Island, VA, 2014

Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated into predictive models and the training data used to parameterize those models. This data release contains the extracted metrics of barrier island geomorphology and spatial data layers of habitat characteristics that are input to Bayesian networks for piping plover habitat availability and barrier island geomorphology. These datasets and models are being developed for sites along the northeastern coast of the United States. This work is one component of a larger research and management program that seeks to understand and sustain the ecological value, ecosystem services, and habitat suitability of beaches in the face of storm impacts, climate change, and sea-level rise.

Tags: assawoman-island, atlantic-ocean, barrier-island, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-hazards, delmarva-peninsula, geographic-information-systems, geomorphology, geoscientificinformation, geospatial-analysis, geospatial-datasets, gis, mean-high-water, mhw, north-america, oceans, st-petersburg-coastal-and-marine-science-center, transect-sampling, u-s-geological-survey, united-states, usa, usgs, usgs-5daa3791e4b09fd3b0c9ce97, va, virginia, virginia-coast-reserve, wallops-island, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
MIROC Historical Prescribed Burn Windows for the Southeast United States 1950-1999

Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are provided as decadal output for observed conditions, and for individual GCM results for the historical climate scenario and the two future climate scenarios are provided. In addition, summary statistics (e.g., multi-model mean, and for selected quantiles) are provided for the GCM ensemble as a whole by decade.

Tags: alabama, arkansas, farming, fires, florida, georgia, geoscientificinformation, kentucky, louisiana, managed-fire-regimes, mississippi, missouri, north-carolina, oklahoma, south-carolina, southeast-united-states, statistical-downscaling, tennessee, texas, usgs-609c886fd34ea221ce3ac711, virginia, west-virginia, wildfires
Organization: Department of the Interior
Data and analytical code associated with pinyon jay local-scale density-habitat relationship model (2008 - 2020) in the InterMountain West, USA

This data release provides pinyon jay (Gymnorhinus cyanocephalus) counts and local-scale vegetation data associated with summertime point count surveys conducted throughout the InterMountain West under the Integrated Monitoring in Bird Conservation Regions (IMBCR) program, 2008 - 2020. We also provide code written in the R programming language to model pinyon jay abundance as a function of local-scale covariates.

Tags: arizona, biological-population-management, birds, california, colorado, ecological-processes, ecosystem-management, forest-ecosystems, geoscientificinformation, habitats, idaho, intermountain-west, kansas, montana, nebraska, nevada, new-mexico, north-dakota, oklahoma, oregon, south-dakota, texas, united-states, usgs-65d8ec51d34ec3e1801e3c95, utah, wildlife-population-management, wyoming
Organization: Department of the Interior
Chemical and physical data for sediment source tracking in Little Flatrock Creek, Ohio - streambed sediment, 2019

This data release includes physical and chemical data for streambed-sediment samples collected at 7 locations in the Little Flatrock Creek basin in Paulding County, Ohio during July 2019.  Data include total nitrogen and carbon concentrations, carbon species, total concentrations for 41 metals, and particle-size analysis; not all samples had enough for all analyses. Source samples were identified as one of four land-cover types: cropland (corn, soybean, hay, and wheat; sites included a mix of conventional and conservation tillage), roads, preserved forest, and streambanks. All reaches had cropland on at least one side of the stream.  These data will be used for source attribution in order to quantify the proportional contribution of individual sources to streambed sediment in the basin.  The objective of "fingerprinting" these samples was to identify the potential contribution of surrounding land use to what is stored in the channel upstream from the gage.

Tags: 04100007, agricultural-stream, anthropocene, auglaize, holocene, paulding-county, rural-stream, sediment-fingerprinting, sediment-transport, united-states, usgs-661ed8ded34e7eb9eb7e3f13, western-lake-erie
Organization: Department of the Interior
Selected Basin Boundaries for USGS Streamgages in Alaska through 2019

This dataset contains drainage basin boundaries for 253 U.S. Geological Survey (USGS) streamgages in Alaska that had at least 5 years of daily streamflow through September 30, 2017, three of which were delineated for alternate basin conditions. This compilation includes selected boundaries produced in 2014 (https://doi.org/10.5066/P143KNEJ). Additional basin boundaries were delineated from the streamgage location to the nearest USGS Watershed Boundary Dataset (WBD) HUC boundary and along HUC boundaries from that intersection to the basin headwaters. Streamgages selected for drainage basin delineation included streamgages in Alaska that met selection criteria for a statewide study of seasonal flow regimes (Curran and Biles, 2021). Sites for that study included USGS streamgages that had at least 5 years of daily streamflow that responded mostly to seasonal meteorological inputs, that had a definable drainage basin above a minimum size from which basin characteristics could be determined, and that provided streamflow data not similar to another streamgage record in the dataset. For three streamgages, the drainage basin boundary was delineated for the drainage area associated with regulated (diverted) or unregulated streamflow conditions contemporaneous with a period of streamflow record other than the present. Selected basins were previously published in the WBD as "NWISDrainageArea" features.

Tags: discharge-flow, hydrographic-datasets, hydrology, inlandwaters, rivers-streams, terrestrial-hydrosphere, usgs-66440948d34e1955f5a427ff
Organization: Department of the Interior
Stable C and N isotope values in Kemp's Ridley sea turtle scutes in the northern Gulf of Mexico, 2010 to 2012

Following an explosion at the Deepwater Horizon drilling rig on April 20, 2010, MC252 an estimated 3.19 million barrels of oil leaked into the Northern Gulf of Mexico over 87 days. The endangered Kemp's ridley sea turtle (Lepidochelys kempii [Lk]) has a long established record of using the area near the well as primary foraging grounds. Resulting short- and long-term negative impacts of the oil spill on sea turtles could induce changes in the health and fitness of the Lk population. MC252 oil is known to have entered the foraging areas. Consequently, stable carbon and nitrogen isotope signatures from MC252 oil should be reflected in the food web and in the tissues of organisms such as sea turtles. We measured carbon and nitrogen isosope ratios of satellite-tagged turtles to 1) assess changes in foraging strategies of nesting Lk sampled in 2010 (the year of the spill) and two subsequent post-spill years; and 2) estimate the proportion of females that were within the area affected by the oil spill, the latter via discriminant analysis. Scute samples were collected using a biopsy punch from turtles nesting at a long-term study site on the Lower Texas Coast (Padre Island National Seashore) and on the Upper Texas Coast (Galveston Island to Surfside Beach). Turtles included in this study were sampled only once. δ13C values in samples obtained from turtles nesting in 2011 and 2012 were significantly depleted (F3,96=4.76, p=0.004 ) compared to 2010 samples. In contrast, there were no significant differences in δ15N among years. The depleted carbon values correlate with the depleted carbon values of MC252 oil. The distinctive isotope values of the satellite tagged females provided data with which to identify turtles that were inside the oiled area

Tags: alabama, environemtal-health, florida, gulf-of-mexico, louisiana, mississippi, petroleum, reptile, texas, united-states-of-america, usgs-58e2adeee4b09da67996a93b
Organization: Department of the Interior
Water-quality measurements (near surface) collected along cross-section and longitudinal lines in the Ohio River between Markland Locks and Dam and McAlpine Locks and Dam, Kentucky and Indiana, October 27–November 4, 2016 (survey #1)

Velocity and water-quality surveys were completed along an approximately 71-mile reach of the Ohio River between Markland Locks and Dam (river mile 531.5) and McAlpine Locks and Dam (river mile 606.8) on October 27–November 4, 2016 (survey #1), and June 26–29, 2017 (survey #2). Water-quality data collected in this reach included surface measurements and vertical profiles of water temperature, specific conductance, pH, dissolved oxygen, turbidity, chlorophyll, and phycocyanin. Streamflow and velocity data were collected simultaneous to the water-quality data at cross-sections and along longitudinal lines (corresponding to the water-quality surface measurements) and at selected stationary locations (corresponding to the water-quality vertical profiles). All velocity and water-quality data were georeferenced with a differential GPS receiver with submeter accuracy. The data were collected to understand variability of flow and water-quality conditions relative to simulated reaches of the Ohio River and to aid in identifying parts of the reach that may provide conditions favorable to spawning and recruitment habitat for Asian carp.

Tags: acoustic-doppler-current-profiler, chlorophyll, dissolved-oxygen, indiana, kentucky, louisville, markland-locks-and-dam, mcalpine-locks-and-dam, multiparameter-sonde, ohio-river, ph, phycocyanin, river, specific-conductance, temperature, turbidity, united-states-of-america, usgs-5f35a28f82cee144fb3598d1, velocity, warsaw, water-quality
Organization: Department of the Interior