AndreaBozzo/ceres-open-data-index huggingface dataset:
Bathymetric survey of Rock Run Rookery Lake, Will County, Illinois

The bathymetric data set was collected in Rock Run on Dec. 10, 2015 by USGS ILWSC staff Clayton Bosch and Louis Pappas.  The bathymetric data were collected with an RD Instruments 1200 kHz ADCP (S/N 8617) and Trimble Ag 162 GPS mounted on the M/V La Moine.  A temporary reference point (TRP) was established on the north side of the footbridge over the connecting channel to the Des Plaines River.  The mean water surface elevation (504.97 feet, WGS 84) during the survey was established from a temporary reference point whose elevation was later established by GPS survey.  The measured depths were then converted to a lake bed elevation.  The location and depth data were compiled into a bathymetry dataset (Rock Run Bathymetry Data.csv).  The dataset was imported as a shapefile into ArcMap (ArcGIS software 10.3.1).  A shape file of lake boundary elevation was developed based on imagery from September 16, 2015 (U.S. Department of Agriculture Farm Services Agency National Agriculture Imagery Program (NAIP)) (point data can be found in Rock Run Lake Boundary.csv). This shape file was merged with the elevation shape file to enforced the lake and island edges in the final bathymetry.  This elevation shape file was then contoured using Geostatistical Analyst/Deterministic methods/Radial Basis Functions with Completely Regularized Spline (defaults were used except Sector type: 4 Sectors, Angle: 42, Major semiaxis: 800, Minor semiaxis: 500).  The raster was then exported to a GeoTIFF file with a resulting raster cell size of 1 foot.

Tags: asian-carp, bathymetry, des-plaines-river, illinois, illinois-waterway, invasive-species, joliet, rock-run-preserve, rock-run-rookery-lake, usgs-58c947bbe4b0849ce97b438d, will-county
Organization: Department of the Interior
Washington Mule Deer Wenatchee Mountains Corridors

Along the eastern slope of the Cascade Mountains in Chelan and Kittitas counties, the Wenatchee Mountains mule deer herd inhabits a matrix of private and public lands. Historically, the Wenatchee Mountains mule deer were separated into two sub-herds, Chelan and Kittitas; however, recent movement data from GPS-collared individuals associated with Secretarial Order 3362 (Department of the Interior, 2018) revealed that the mule deer south of U.S. Highway 2 and north of Interstate 90 represent one population. Their high-use winter range extends along the foothills west and south of Wenatchee, Washington and throughout the foothills of the Kittitas Valley outside Ellensburg, Washington. The low-use winter range occurs along the foothills west of the Columbia River. In the spring, migratory individuals travel west into the Wenatchee Mountains to their summer range, which includes the Alpine Lakes Wilderness Area. Wenatchee Mountains mule deer are partially migratory; a higher proportion of migratory individuals occupy the northern winter range of the Wenatchee Mountains and non-migratory individuals more commonly inhabit the foothills of the Kittitas Valley. The increasing frequency of large-scale wildfires and residential development continue to degrade and reduce available winter range. Disturbance from human recreation on the winter range continues to be a concern. Semipermeable barriers to spring and fall migration include U.S. Highway 97 or State Route 970, both of which experience relatively high volumes of traffic in the region.
These mapping layers show the location of the Migration corridors for Mule Deer (Odocoileus hemionus) in the Wenatchee Mountains population in Washington. They were developed from 107 migration sequences collected from a sample size of 38 animals comprising GPS locations collected every 4 hours.

Tags: animal-behavior, biota, migration-organisms, migration-route, migratory-species, united-states, usgs-63650c4dd34ebe442507ceb7, washington, wenatchee
Organization: Department of the Interior
Machine learning model that estimates public-supply deliveries for domestic and other use types

This child item describes a public-supply delivery machine learning model that was developed to estimate public-supply deliveries. Publicly supplied water may be delivered to domestic users or to commercial, industrial, institutional, and irrigation (CII) users. This model predicts total, domestic, and CII per capita rates for public-supply water service areas within the conterminous United States for 2009-2020. This child item contains model input datasets, code used to build the delivery machine learning model, and national predictions. This dataset is part of a larger data release using machine learning to predict public-supply water use for 12-digit hydrologic units from 2000-2020.
This page includes the following file:
delivery_water_use_model.zip - a zip file containing input datasets, scripts, and output datasets for the delivery water use machine learning model

Tags: alabama, arizona, arkansas, california, colorado, connecticut, conterminous-united-states, delaware, district-of-columbia, florida, georgia, idaho, illinois, indiana, iowa, kansas, kentucky, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, modeling, montana, nebraska, nevada, new-hampshire, new-jersey, new-mexico, new-york, north-carolina, north-dakota, ohio, oklahoma, oregon, pennsylvania, public-supply, rhode-island, south-carolina, south-dakota, tennessee, texas, usgs-63c6fce9d34e92aad3d120f1, utah, vermont, virginia, washington, water-use, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2018 Site 0409 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 398 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2018 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Four previous assessments have been conducted (2005, 2008, 2012, and 2015/2016). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-611d2b95d34e40dd9c012996, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Contours--Offshore Santa Cruz, California

This part of DS 781 presents data for the bathymetric contours for several seafloor maps of the Offshore Santa Cruz map area, California. The vector data file is included in "Contours_OffshoreSantaCruz.zip", which is accessible from https://doi.org/10.5066/F7TM785G. These data accompany the pamphlet and map sheets of Cochrane, G.R., Dartnell, P., Johnson, S.Y., Erdey, M.D., Golden, N.E., Greene, H.G., Dieter, B.E., Hartwell, S.R., Ritchie, A.C., Finlayson, D.P., Endris, C.A., Watt, J.T., Davenport, C.W., Sliter, R.W., Maier, K.L., and Krigsman, L.M. (G.R. Cochrane and S.A. Cochran, eds.), 2016, California State Waters Map Series—Offshore of Santa Cruz, California: U.S. Geological Survey Open-File Report 2016-1024, pamphlet 40 p., 10 sheets, scale 1:24,000, https://doi.org/10.3133/ofr20161024.
10-m interval contours of the Offshore Santa Cruz map area, California, were generated from bathymetry data collected by the U.S. Geological Survey (USGS). Mapping was completed in 2009 using a 234-kHz SWATHplus bathymetric sidescan-sonar system. The mapping mission collected bathymetry data from about the 10-m isobath to beyond the 3-nautical-mile limit of California's State Waters.

Tags: bathymetry, bathymetry-and-elevation, bathymetry-measurement, cmhrp, coastal-and-marine-hazards-and-resources-program, continental-island-shelf, distributions, environment, geoscientificinformation, imagerybasemapsearthcover, marine-geophysics, marine-nearshore-subtidal, marine-offshore-subtidal, northern-california-ecoregion, ocean-floor-topography, oceans, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, rock-substrate, santa-cruz, santa-cruz-county, seabed, seafloor-topography, sidescan-sonar, sonar-methods, state-of-california, transform-continental-margin, u-s-geological-survey, unconsolidated-mineral-substrate, usgs, usgs-556e11ebe4b0d9246a9f9a7b
Organization: Department of the Interior
2018 Mean High Water Shorelines of the Puerto Rico coast used in Shoreline Change Analysis

The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photos or topographic surveys, as well as contemporary sources like lidar point clouds and digital elevation models (DEMs). These shorelines are compiled and analyzed in the Digital Shoreline Analysis System (DSAS) software to compute rates of change. It is useful to keep a record of historical shoreline positions as a method of monitoring change over time to identify areas most susceptible to erosion or accretion.  These data can help coastal managers understand which areas of the coast are vulnerable.
This data release and other associated products represent an expansion of the USGS national-scale shoreline database to include Puerto Rico and its islands, Vieques and Culebra. The United States Geological Survey (USGS) in cooperation with the Coastal Research and Planning Institute of Puerto Rico (CoRePI, part of the Graduate School of  Planning at the University of Puerto Rico, Rio Piedras Campus) has derived and compiled a database of historical shoreline positions using a variety of methods. These shorelines are used to measure the rate of shoreline change over time.

Tags: atlantic-coast, caribbean, coastal-and-marine-geology-program, coastal-processes, coastal-research-and-planning-institute-of-puerto-rico, culebra, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, mean-high-water, mhw, oceans, puerto-rico, puerto-rico-shoreline-change, shoreline, shoreline-change, u-s-geological-survey, united-states, university-of-puerto-rico, university-of-puerto-rico-graduate-school-of-planning, usgs, usgs-613f7a90d34e1449c5d35c9e, vieques, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
California Mule Deer Salt Springs Corridors

The Salt Springs herd winters in the western foothills of the Sierra Nevada predominantly on private property from Tylers Corner south to Sheep Ranch. The summer range is in high-elevation terrain near Lower Bear River Reservoir and Salt Springs Reservoir. The winter range consists of mainly oak woodland habitat and the summer range includes primarily mixed conifer opening up to high alpine granite near the crest of the Sierra Nevada. The population size is unknown due to limited data. This GPS collaring project was designed as part of a region-wide effort to obtain abundance estimates for deer using fecal DNA and home range analyses, with pinpointing migration routes and identifying winter ranges a secondary priority. Therefore, other winter range and migration corridor routes probably exist apart from what the limited sample size revealed. Future work will help pinpoint the boundaries of this herd, particularly important for comparison to the Railroad Flat herd, which overlaps on the winter range with the Salt Springs herd (though uses a unique summer range).
These mapping layers show the location of the migration corridors for mule deer (Odocoileus hemionus) in the Grizzly Flat population in California. They were developed from 13 migration sequences collected from a sample size of 6 animals comprising GPS locations collected every 1-13 hours.

Tags: animal-behavior, biota, california, migration-organisms, migration-route, migratory-species, sheep-ranch, united-states, usgs-63650bf1d34ebe442507ce8f
Organization: Department of the Interior
Source and model output layers used for the prediction and display of the probability of elevated concentrations of redox-sensitive constituents in groundwater in the Fox-Wolf-Peshtigo watershed in Wisconsin and Michigan

This USGS data release contains 1-kilometer resolution source-layer rasters used to predict redox conditions and contaminant concentrations in groundwater in the Fox-Wolf-Peshtigo watershed in Wisconsin and Michigan using random forest classification. The model output layers are 1-kilometer resolution rasters of the predicted probability of elevated concentrations of nitrate, iron, and arsenic. 
This data release supports the following publication: 
Tesoriero, A.J., Gronberg, J.M., Juckem, P.F., Miller, M.P., and Austin, B.P., 2017, Predicting redox-sensitive contaminant concentrations in groundwater using random forest classification: Water Resources Research, v. 53, https://doi.org/10.1002/2016WR020197.

Tags: arsenic, drinking-water-quality, fox-wolf-peshtigo-watershed, groundwater, groundwater-quality, iron, michigan, nitrate, random-forest-classification, redox, usgs-58d04120e4b0236b68f53541, wisconsin
Organization: Department of the Interior
Yellowstone Lake Telemetry Receivers 2011-2015

These data show the placement of acoustic telemetry receivers in Yellowstone Lake between 2011 and 2015. Receivers were placed in the lake to record fish movement throught the year. This data release shows the coordinates, timing, and receiver ID for each for each receiver deployment.

Tags: biota, ecology, life-sciences, telemetry, usgs-5d66f62ee4b0c4f70cf0cede, wyoming, yellowstone-national-park
Organization: Department of the Interior
Classification of evapotranspiration units in major discharge areas of Death Valley regional

The raster-based classification of evapotranspiration
(ET) units is for nine major discharge areas in the Death
Valley regional flow system.  The ET units delineate general
areas of similar vegetation and soil-moisture conditions.
Classifications were derived from Landsat Thematic Mapper
imagery data acquired June 13, 1992; Sept. 1, 1992; and
June 21, 1989.

Tags: ash-meadows, california-valley, chicago-valley, china-ranch, classification, death-valley, eastern-california, environment, et, evapotranspiration, franklin-lake, franklin-well, geoscientificinformation, inlandwaters, nevada, oasis-valley, resting-spring, sarcobatus-flat, shoshone, southern-nevada, stewart-valley, tecopa, usgs-ac575a6f-00f1-4816-a538-ea0bf544c71c
Organization: Department of the Interior
Floating transient electromagnetic (FloaTEM) surveys in the Rainbow Reservoir near Windsor, Connecticut

Floating transient electromagnetic (FloaTEM) data were acquired on the Rainbow Reservoir during November 2018. During the survey, approximately 12 line-kilometers were collected in the Rainbow Reservoir, near Windsor, Connecticut study area. Data were collected by members of the U.S. Geological Survey, Hydrogeophysics Branch, and New England Water Science Center. FloaTEM data acquired along the Rainbow Reservoir in Hartford County, in Connecticut, were collected to test a new continuous water-borne transient electromagnetic data collection platform, and to characterize the subsurface resistivity structure.
FloaTEM data were collected using an Aarhus University HydroGeophysics Group FloaTEM unit using a transmitter loop (Tx) size, 4 by 2 meter square (m^2), in an offset-loop receiver (Rx) configuration utilizing a receiver coil that is 0.5 by 0.5 m^2 in size (with an effective area of 35 m^2) towed about 7 meters behind the Tx loop. The Tx outputs dual currents of about 3 and 30 amperes (A) for dual-moment transmission. The measurement cycles take approximately 0.5 seconds to complete and are comprised of several hundred individual transients that are averaged into 1D soundings along the profile. This data release includes the averaged, culled, and inverted FloaTEM data along the survey line that were used to produce the final resistivity models.  Digital data of the processed soundings are provided, and fields are defined in a data dictionary.
(1) Files with *AVERAGED.xyz and *AVERAGED.csv are space- and comma-delimited ASCII files that contain the least processed data where transients were averaged together and most coupled data were removed.Data locations are provided as UTM Zone 15 N projection and datum of WGS-84.
(2) Files with *CULLED.xyz and *CULLED.csv are space- and comma- delimited ASCII files containing the processed data where negatively-impacted transients and coupled data were removed using a combination of automated and manual processing. Data locations are provided as UTM Zone 15 N projection and datum of WGS-84.
(3) Files with *INVERTED.xyz and *INVERTED.csv are space- and comma-delimited ASCII files containing the inversion model results. Model locations are provided as UTM Zone 15 N projection and datum of WGS-84.
(4) Files with *WATER-DEPTH_DATA.xyz and *WATER-DEPTH_DATA.csv are space- and comma-delimited ASCII files containing the water-depth data as measured from the bottom of the transducer. Water-depth measurement locations are provided as UTM Zone 15 N, WGS-84.
(5) Files with *INVERTED_image.png and *INVERTED_image.pdf are the inverted model output as a 2D profile of electrical resistivity distribution in the subsurface.

Tags: connecticut, electrical-resistivity-imaging, electromagnetic-surveying, farmington-river, geophysics, geoscientificinformation, geospatial-datasets, groundwater, hartford-county, hydrogeology, rainbow-reservoir, resistivity, usgs-5ed5492082ce2832f047ef7a, water-resources, windsor
Organization: Department of the Interior
Bouguer gravity and magnetic susceptibility measurements at Iliamna Volcano, Alaska 2019

Gravity data were collected in August of 2019 at 21 sites on and around Iliamna Volcano and Anchorage, Alaska. Measurements were taken with a Lacoste &amp; Romberg G-161 meter and reduced to obtain the complete Bouguer anomaly.  A total of 39 magnetic susceptibility measurements were taken at 13 locations using a ZH Instruments SM30 susceptibility meter.  
This data release includes susceptibility measurements, processed gravity data, shapefiles with field locations, and site photos.

Tags: alaska, bouguer-anomaly, cook-inlet, free-air-anomaly, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, gravimeter-measurement, gravitational-field-earth, iliamna, iliamna-volcano, isostatic-anomaly, kenai-peninsula, lake-clark-national-preserve, magnetic-susceptibility, mineral-resources-program, mrp, u-s-geological-survey, usgs, usgs-5ea31dcd82cefae35a19d24c, usgs-volcano-hazards-program, volcanology
Organization: Department of the Interior
Predicted (1989-2015) and forecasted (2015-2114) estimates for rate of change and recovery of sagebrush (Artemisia spp.) following energy development in southwestern Wyoming, USA (ver. 2.0, January 2021)

In 'Predicted (1989-2015) and forecasted (2015-2114) rate of change and recovery of sagebrush (Artemisia spp.) following energy development in southwestern Wyoming, USA (ver. 2.0, January 2021)', we provide spatially- and temporally-explicit maps of predictions for the rate of change and  time to recovery and percent recovery of sagebrush cover after 100 years (Monroe et al. 2020). The rasters beginning with "sage.rate" depict the predicted annual rate of change in sagebrush cover for each timestamp interval, across the Wyoming Landscape Conservation Initiative area (WLCI) in southwestern Wyoming, USA (1989-2015). The files 'time_to_recov_v2.0.tif' and 'perc_recov_v2.0.tif' are rasters for predicted time to recovery and percent recovery after 100 years, respectively, following energy development across the WLCI area.
Literature cited:
Monroe, A. P., C. L. Aldridge, M. S. O'DOnnell, D. J. Manier, C. G. Homer, and P. J. Anderson. 2020. Using remote sensing products to predict recovery of vegetation across space and time following energy development. Ecological Indicators 110:105872.

Tags: artemisia, atmospheric-and-climatic-processes, biota, oil-and-gas-well-pad, resilience, sagebrush, soils, trends, united-states, usgs-5c8912f3e4b09388244d7a2d, weather, wyoming
Organization: Department of the Interior
Lithologic characterization of cores from boreholes 83BR-89BR collected from the mudstone aquifer underlying the Naval Air Warfare Center, West Trenton, NJ

This data set presents the lithologic interpretation of rock cores from boreholes 83BR-89BR collected from the mudstone aquifer underlying the Naval Air Warfare Center (NAWC), West Trenton, NJ.  Continuous core from these boreholes was collected and visually interpreted to identify characteristics of the depositional environment of the mudstone. Three types of mudstone were identified: a black-fissile mudstone (BLK-FIS); a gray-laminated mudstone (GRY-LAM); and a gray massive mudstone (GRY-MAS). The BLK-FIS mudstone is associated with a deep-water depositional environment. The GRY-MAS mudstone is associated with a shallow-water depositional environment. The GRY-LAM mudstone is associated with a transitional depositional environment between shallow and deep water conditions. The lithologic characteristic of the rock was assigned every 0.03 m along the length of the core. Sections of core that were not recovered or not collected are also noted.

Tags: core-analysis, deposition, lithology, sedimentary-rock, usgs-5894bedee4b0fa1e59b8697b
Organization: Department of the Interior
Projected groundwater emergence and shoaling along the North and South Carolina coasts

Groundwater emergence and shoaling extents are derived from water table depth GeoTIFFs, which are calculated as steady-state groundwater model heads subtracted from high-resolution topographic digital elevation model (DEM) land surface elevations. Results are provided as shapefiles of water table depth in specific depth ranges.

Tags: beaches, climate-change, cmhrp, coastal-and-marine-hazards-and-resources-program, earth-sciences, effects-of-climate-change, floods, geoscientificinformation, groundwater-flow, hazards-planning, inlandwaters, mathematical-modeling, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, state-of-north-carolina, state-of-south-carolina, u-s-geological-survey, usgs, usgs-41b221ce-cc95-45fc-ab1f-cfc58d92b62a, water-depth
Organization: Department of the Interior