AndreaBozzo/ceres-open-data-index huggingface dataset:
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, May 2021, v1

This dataset provides early estimates of 2021 exotic annual grasses (EAG) fractional cover predicted on May 3rd. We develop and release EAG fractional cover map with an emphasis on cheatgrass (Bromus tectrorum) but it also includes number of other species, i.e., Bromus arvensis L., Bromus briziformis, Bromus catharticus Vahl, Bromus commutatus, Bromus diandrus, Bromus hordeaceus L., Bromus japonicus, Bromus madritensis L., Bromus racemosus, Bromus rubens L., Bromus secalinus L., Bromus texensis (Shear) Hitchc., and medusahead (Taeniatherum caput-medusae. The dataset was generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring data (AIM) plots; Harmonized Landsat and Sentinel-2 (HLS) based Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI); other relevant environmental, vegetation, remotely sensed, and geophysical drivers; and artificial intelligence/machine learning techniques. A total 17,536 AIM plots from years 2016 - 2019 were used to train an ensemble of five-fold regression models using a cross-validation approach (each observation was used as test data once) that developed EAG fractional cover maps. 
The geographic coverage includes arid and semi-arid rangelands in the western U.S.

Tags: annual-grass, annual-herbaceous, arizona, california, cheatgrass, colorado, exotic, great-basin, harmonized-landsat-sentinel, idaho, invasive-species, kansas, medusahead, montana, ndvi, nebraska, nevada, new-mexico, nonindigenous-species, north-dakota, noxious, oklahoma, oregon, red-brome, remote-sensing, rye-brome, sagebrush, soft-brome, south-dakota, texas, texas-brome, united-states, usgs-6091af4bd34e791692e16886, utah, washington, western-united-states, wyoming
Organization: Department of the Interior
Geomorphic Change-Sediment Transport Data for the Little Colorado River, Arizona, USA

These data were compiled to accompany flow modeling work on Little Colorado river above the mouth (USGS gage 09402300).  The data include topographic data collected by LIDAR and total station in June 2017, high water marks from nine historic floods, and control points and gage structures.  Topographic data include ground topography collected by LIDAR and channel bathymetry collected by total station survey of a 2500 meter reach of the Little Colorado River ending near the confluence with the Colorado River.  High water mark data were collected by USGS personnel using total station surveys and are divided into nine distinct sets based on elevation profile.

Tags: arizona, baseline-data, change-detection, channel-bathymetry, coconino-county, colorado-river, control-points, elevation, flow-modeling, gage-structures, geomorphic-change, geoscientific-information, grand-canyon, high-water-marks, historic-flood-discharges, imagery-base-maps-earth-cover, indirect-discharge-measurement, inland-waters, lidar, light-detection-and-ranging, little-colorado-river, location, planning-cadastre, southwestern-united-states, topographic-data, topography, total-station-survey-data, united-states, usgs-5b85d905e4b0702d0e77a47a
Organization: Department of the Interior
2011 Groundhog Reservoir Bathymetric Contours

The U.S. Geological Survey performed a bathymetric survey of Groundhog Reservoir using a man-operated boat-mounted multibeam echo sounder integrated with a global positioning system (GPS) and a terrestrial real-time kinematic (RTK) GPS in June 2011. The multi-beam echo sounder collected data at lake depths of approximately 3 feet and greater, whereas the terrestrial topographic survey was performed with the RTK GPS in shallow areas near the shore not navigable by boat to the elevation of the top of the dam plus about 2 to 3 additional feet. Bathymetric data from the multibeam echo sounder were collected June 27-29, 2011, and were compiled and stored using the hydrographic survey software, HYPACK 2010 from HYPACK, Inc. (HYPACK, Inc., 2010). The data were interpolated onto a 2-meter grid by computing the average of the data in each cell and positioning the mean at the cell center. The data were converted to elevation above the National Vertical Datum 1988 (Gesch and others, 2002) using reservoir stage. The bathymetry and GPS datasets were then imported into ESRI Arcmap so elevation contours could be determined. The data were used to create a Triangulate Irregular Network (TIN). This TIN was converted to a 2-meter raster dataset which was subsequently contoured. The contour lines were smoothed using a generalized 500 technique (ESRI, 2010). Some holes in the smoothed contour dataset were removed manually and some of the contours were manually adjusted to connect contours and fix any other issues. This created the final contour map.References:Environmental Systems Research Institute, Inc., 2010, ArcGIS—A complete integrated system: Redlands, Calif, ESRI. Accessed Oct. 17, 2011, from http://www.esri.com/software/arcgis/.Gesch, D., Oimoen, M., Greenlee, S., Nelson, C., Steuck, M., and Tyler, D., 2002, The National Elevation Dataset: Photogrammetric Engineering and Remote Sensing, v. 68, no. 1, p. 5-11.HYPACK, Inc., 2010, HYPACK® 10.0.5.31, Hydrographic survey software user manual: Middletown, Conn., HYPACK, Inc. [various paged], accessed Oct. 5, 2011, from http://www.hypack.com/new/Support/DocumentsManualsTechnicalArticlesetc/tabid/81/Default.aspxKohn, M.S., 2012, Bathymetry of Groundhog Reservoir, Dolores County, Colorado, 2011: U.S. Geological Survey Scientific Investigations Map 3202, scale 1:8,000 [https://pubs.usgs.gov/sim/3202/].U.S. Geological Survey, 2011, Colorado StreamStats: U.S. Geological Survey, accessed Oct. 17, 2011, from http://streamstatsags.cr.usgs.gov/co_ss/default.aspx?stabbr=co=1323879434710

Tags: bathymetric-survey, dolores-county, elevation, groundhog-reservoir, inlandwaters, southwestern-colorado, usgs-0a482d5f-b106-445b-9c7b-5b8e6ac05334
Organization: Department of the Interior
Hawaiʻi Island Rapid ʻŌhiʻa Death Decontamination 2019-2020

Rapid ʻŌhiʻa Death is a fatal disease caused by Ceratocystis lukuohia and C. huliohia that are decimating Hawaiʻiʻs keystone trees species, ʻōhiʻa (Metrosideros polymorpha). We developed practical and effective decontamination practices for both cultured C. lukuohia and C. huliohia as well as Ceratocystis spores embedded in ambrosia beetle frass (fine particles of macerated wood or boring dust, beetle parts, and feces). This data release includes data and metadata containing decontamination results of ambrosia beetle (Coleoptera: Scolytinae) frass contaminated with Ceratocystis lukuohia propagules using various laboratory and household disinfectants.

Tags: biota, ceratocystis, decontamination, disinfectant, frass, rapid-ohia-death, usgs-5eeae0ee82ce3bd58d85cca8
Organization: Department of the Interior
Laboratory quality-control data associated with samples analyzed for microbiological constituents at the Ohio Water Microbiology Laboratory, 2012-2017

This dataset contains data tables of laboratory quality-control data associated with environmental samples analyzed for microbiological constituents at the Ohio Water Microbiology Laboratory of the U.S. Geological Survey (USGS) during federal fiscal years 2012-2017 (October 1, 2011 through September 30, 2017). The environmental samples were collected across the United States by the USGS National Water Quality Assessment Project and other projects in Water Science Centers. The microbiological constituents include total coliforms, Escherichia coli (E. coli), enterococci, coliphage (F-specific and somatic), aerobic endospores, and actinomycetes. These quality-control data can be used to assess the quality of microbiological data for the associated environmental samples.

Tags: bacteria, laboratory-methods, microbiology, usgs-5902587ce4b03ed812df5949
Organization: Department of the Interior
p192mb.m77t and p192mb.h77t: MGD77T data and header files for single-beam bathymetry data for field activity P-1-92-MB in Monterey Bay from 03/20/1992 to 03/22/1992

Single-beam bathymetry data along with SINS navigation data was collected as part of the U.S. Geological Survey cruise P-1-92-MB. The cruise was conducted in Monterey Bay from March 20 to March 22, 1992. The chief scientist was Gary Greene from the USGS Coastal and Marine Geology office in Menlo Park, CA.
The overall purpose of this study and the geophysical source are unknown.
These data are reformatted from space-delimited ASCII text files located in the Coastal and Marine Geology Program (CMGP) InfoBank field activity catalog at http://walrus.wr.usgs.gov/infobank/p/p192mb/html/p-1-92-mb.meta.html into MGD77T format provided by the NOAA's National Geophysical Data Center(NGDC). The MGD77T format includes a header (documentation) file (.h77t) and a data file (.m77t). More information regarding this format can be found in the publication listed in the Cross_reference section of this metadata file.

Tags: bathymetry, bathymetry-and-elevation, bathymetry-measurement, distributions, geoscientificinformation, marine-geology, marine-geophysics, monterey-bay, northern-california, oceans, pacific-ocean, seafloor-topography, single-beam-bathymetry, single-beam-echo-sounder, state-of-california, usgs-e9fcc924-d34e-46bf-b664-4e9f3595a6ff, water-depth
Organization: Department of the Interior
March 2017 bathymetry (WGS84) of Coyote Creek and Alviso Slough, South San Francisco Bay, California

1-m resolution bathymetry collected in Coyote Creek and Alviso Slough in March 2017.
Projection = UTM, zone 10 in meters,
Horizontal Datum = WGS84(G1150),
Elevations relative to the WGS84 Ellipsoid, all units in meters.
The surveys extend east from Calaveras Point along Coyote Creek to the railroad bridge,
along Alviso Slough to the town of Alviso (just over 7 km), and along the 3.7 km of Guadalupe
Slough closest to the San Francisco Bay, California.

Tags: alameda-county, alviso, alviso-slough, bathymetry, bathymetry-measurement, cmgp, coastal-and-marine-geology-program, coyote-creek, digital-elevation-models, elevation, gps-measurement, guadalupe-slough, inlandwaters, interferometric-sonar, oceans, pacific-coastal-and-marine-science-center, pcmsc, san-francisco-bay, santa-clara-county, sidescan-sonar, state-of-california, u-s-geological-survey, usgs, usgs-a7e5a9b7-8178-45f9-afbc-084c069013ed
Organization: Department of the Interior
Coastal Multibeam Bathymetry and Backscatter Data Collected in May 2023 from Rockaway Peninsula, New York

An Ellipsoidally Referenced Survey (ERS) using two Teledyne Reson SeaBat T50-P multibeam echosounders, in dual-head configuration, was conducted by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) covering the nearshore, seaward side of Rockaway Peninsula, New York (NY), from May 6-16, 2023. This dataset, Rockaway_2023_MBES_xyz.zip, includes the processed elevation point data (x,y,z), as derived from a 1-meter (m) bathymetric grid and the dataset Rockaway_2023_MBES_Backscatter.zip includes the acoustic backscatter intensity data in 32-bit floating point GeoTIFF (Geographic Tag Image File Format, .tiff) format.

Tags: applanix-pos-mv-wavemaster-ii, atlantic-ocean, bathymetry, elevation, geophysics, geoscientificinformation, hydrography, imagerybasemapsearthcover, location, marine-geology, marine-geophysics, multibeam-sonar, ocean-characteristics, ocean-processes, oceans, queens-county, rockaway-beach, sea-floor-acoustic-reflectivity, seafloor-mapping, spcmsc, st-petersburg-coastal-and-marine-science-center, state-of-new-york, teledyne-reson-t50-p, u-s-geological-survey, usgs, usgs-767d0a52-8ed3-484f-9296-61810a5d9a37
Organization: Department of the Interior
Datasets Used to Create Generalized Potentiometric Maps of the Fort Union, Hell Creek, and Fox Hills Aquifers within the Standing Rock Indian Reservation

This data release includes text files of well data and shapefiles of potentiometric contours of the Fort Union, Hell Creek, and Fox Hills aquifers within the Standing Rock Indian Reservation. The data accompanies a USGS scientific investigations map from Anderson and Lundgren (2024).
The Standing Rock Sioux Tribe (the Tribe) and the U.S. Geological Survey (USGS) completed a comprehensive assessment of groundwater resources within the Standing Rock Indian Reservation.Generalized potentiometric surfaces of the Fort Union, Hell Creek, and Fox Hills aquifers were constructed to assess the groundwater resources of the Standing Rock Indian Reservation. Water-level data from the U.S. Geological Survey Groundwater Site Inventory (GWSI) database, the North Dakota Department of Water Resources (NDDWR), and the South Dakota Department of Agriculture and Natural Resources (SDDANR) were compiled and used to construct generalized potentiometric-surface maps representing average conditions of the Fort Union, Hell Creek, and Fox Hills Formations. The water-level measurements mean was used for wells with more than one water-level measurement. Recorded depth to water-levels were converted to hydraulic head by subtracting the water level from the land-surface elevation at the well location. Hydraulic-head values were spatially interpolated to create 2-dimensional potentiometric surfaces. The interpolated potentiometric surfaces were contoured using contour intervals of 50 ft and smoothed to correct for extreme changes in the potentiometric surfaces in areas of sparse data.

Tags: environment, geoscientificinformation, groundwater, inlandwaters, north-dakota, potentiometric-surface, south-dakota, standing-rock, standing-rock-indian-reservation, usgs-656e1a17d34e7ca10833f8e1
Organization: Department of the Interior
Geotagged Low-Altitude Aerial Imagery From Unmanned Aerial Systems Flights Over Town Neck Beach, in Sandwich, Massachusetts, on May 4, 2017

Low-altitude (80-100 meters above ground level) digital images of Town Neck Beach in Sandwich, Massachusetts, were obtained from a camera mounted on a small unmanned aerial system (UAS; also known as a drone). Imagery was collected at close to low tide on seven days to observe changes in beach and dune morphology. The images were geolocated by using the single-frequency geographic positioning system aboard the UAS. Ground control points (GCPs) were established by using temporary targets on the ground, which were located by using a real-time kinematic global navigation satellite system (RTK-GNSS) base station and rovers. The GCPs can be used as constraints during photogrammetric processing. Transect points were collected by using the same RTK-GNSS system; these can be used to evaluate photogrammetric products. This data release includes georeferenced images, image-location files, GCPs, and transect points. Collection of these data was supported by the U.S. Geological Survey Coastal and Marine Geology Program and were conducted under USGS field activity numbers 2017-005-FA, 2017-008-FA, 2017-010-FA, 2017-014-FA, 2017-027-FA, 2017-029-FA, and 2017-050-FA.

Tags: 3dr-solo-quadcopter, aerial-and-satellite-photography, aerial-imagery, aerial-photography, cmgp, coastal-and-marine-geology-program, field-activity-number-2017-029-fa, geoscientificinformation, geotagged-photos, image-collections, jpeg, location, low-altitude-aerial-imagery, massachusetts, oceans, photographs, photos, remote-sensing, ricoh-grii, sandwich, shoreline, shoreline-photographs, town-neck-beach, u-s-geological-survey, uas, unmanned-aerial-system, usa, usgs, usgs-5a871ac3e4b00f54eb3a2d4f, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Comparisons from an Aqualog Fluorometer Standardized to Quinine Sulfate Equivalents (QSE) with Excitation (ex) and Emissions (em) Equivalent to Fluorescence of Dissolved Organic Matter (fDOM) Sensors from Multiple Manufacturers

Here, we present the results supporting Table 2 in Field Techniques for Fluorescence Measurements Targeting Dissolved Organic Matter, Hydrocarbons, and Wastewater in Environmental Waters: Principles and Guidelines for Instrument Selection, Operation and Maintenance, Quality Assurance, and Data Reporting. Table 2 shows comparisons from an Aqualog 800 benchtop fluorometer standardized to quinine sulfate equivalents (QSE) with excitation (ex) and emissions (em) equivalent to fluorescence of dissolved organic matter (fDOM) sensors from multiple manufacturers. Data are reported from two standard reference materials (SRM) and the mean, minimum, and maximum from 76 environmental samples. No replicates were collected for environmental samples; therefore, the relative standard deviation is not available.

Tags: california, california-water-science-center, continuous-monitoring, dissolved-organic-carbon, doc, environment, fdom, fluorescence, high-frequency, in-situ, inlandwaters, optical-sensor, organic-matter, organic-matter-research-laboratory, sacramento, standard-solution, usgs-6376842dd34ed907bf6d87c9, water-quality
Organization: Department of the Interior
Stochastic Empirical Loading and Dilution Model (SELDM) software archive

The Stochastic Empirical Loading and Dilution Model (SELDM)  was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) Office of Project Delivery and Environmental Review to transform complex scientific data into meaningful information about the risk of adverse effects of runoff on receiving waters, the potential need for mitigation measures, and the potential effectiveness of such management measures for reducing these risks (Granato 2013; Granato and Jones, 2014). SELDM is a stochastic model because it uses Monte Carlo methods to produce the random combinations of input variable values needed to generate the stochastic population of values for each component variable. SELDM calculates the dilution of runoff in the receiving waters and the resulting downstream event mean concentrations and annual average lake concentrations. Results are ranked, and plotting positions are calculated, to indicate the level of risk of adverse effects caused by runoff concentrations, flows, and loads on receiving waters by storm and by year. Unlike deterministic hydrologic models, SELDM is not calibrated by changing values of input variables to match a historical record of values. Instead, input values for SELDM are based on site characteristics and representative statistics for each hydrologic variable. Thus, SELDM is an empirical model based on data and statistics rather than theoretical physiochemical equations.
The SELDM was developed as a database application with a simple graphical user interface (GUI) by using Microsoft Access® to facilitate highway and urban runoff analyses by scientists, engineers, and decisionmakers without specialized modeling skills. SELDM uses information about a highway site, the associated receiving-water basin, precipitation events, stormflow, water quality, and the performance of mitigation measures to produce a stochastic population of runoff-quality variables. SELDM provides input statistics for precipitation, prestorm flow, runoff coefficients, and concentrations of selected water-quality constituents from National datasets. Input statistics may be selected on the basis of the latitude, longitude, and physical characteristics of the site of interest and the upstream basin. The user also may derive and input statistics for each variable that are specific to a given site of interest or a given area.
This software archive is designed to document different versions of SELDM that have been used by the USGS, Federal and State transportation engineers, and others since version 1.0 was published as a USGS techniques and methods report (Granato 2013). Versions 1.0.1 through 1.0.3 were developed to implement minor modifications to the software. Version 1.1.0 was developed to provide an interface to run multiple analyses in one session, which facilitates use of the model for scenario and sensitivity analyses. Details about version changes are provided within SELDM’s GUI and in the “ReadMe” files within this software release.

Tags: biota, usgs-601ff3ead34e94a4b9fdfcac
Organization: Department of the Interior
Water-Quality, Bed-Sediment, and Biological Data (October 2016 through September 2017) and Statistical Summaries of Data for Streams in the Clark Fork Basin, Montana

Water, bed sediment, and biota were sampled in selected streams from Butte to near Missoula, Montana, as part of a monitoring program in the upper Clark Fork Basin of western Montana. The sampling program was led by the U.S. Geological Survey (USGS), in cooperation with the U.S. Environmental Protection Agency.

Tags: bed-sediment, biota, clark-fork-basin, montana, trace-elements, usgs-5d24c527e4b0941bde64fc73, water-quality
Organization: Department of the Interior
AllScenarios_Initial_and_Final_Bed_Elevations: Modeling the Effects of Interior Headland Restoration on Estuarine Sediment Transport Processes in a Marine-Dominant Estuary: Delft3D Model Output

The effects of interior headland restoration on estuarine sediment transport processes are assessed through process-based numerical modeling. Three proposed interior headland restoration scenarios in the Grand Bay estuary (Mississippi/Alabama) are modeled using Delft3D (developed by Deltares) to understand impacts on suspended sediment concentrations, bed level morphology and sediment fluxes under present-day conditions and a sea level rise of 0.5 meters (m). Delft3D model output of suspended sediment concentrations (SSC), sediment fluxes, initial and final bed levels, and hydrodynamic data are included in this dataset. Model output from six scenarios (comprised of three restoration (R) alternatives and two sea level (SL) conditions) as forced by 18 climatological wind and wave forcing conditions are included in this data release (Jenkins and others, 2023a). For further information regarding model input generation, set up, and analysis, refer to Jenkins and others (2023b).

Tags: alabama, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, digital-elevation-models, elevation, environment, estuarine-processes, geoscientificinformation, grand-bay, gulf-of-mexico, headlands, hydrodynamics, mississippi, modeling, oceans, remediation, restoration, sea-level, sediment-concentrations, sediment-flux, sediment-transport, spcmsc, st-petersburg-coastal-and-marine-science-center, structure, tides-oceanic, u-s-geological-survey, usgs, usgs-41c69a2b-85a8-4458-b92e-c0de2023490f, waves
Organization: Department of the Interior
Regional scale magnetotelluric data from the Rio Grande Rift and southern Rocky Mountains, Station rgr408

This dataset consists of 102 magnetotelluric (MT) stations collected in 2012-2014 in the Rio Grande Rift and southern Rocky Mountains. The U.S. Geological Survey acquired these data to improve regional conductivity models of the western United States. This work is in support of studies of the effect of lithospheric modification on electrical resistivity structure and tectonic evolution of the western United States.

Tags: apparent-resistivity, basin-and-range, electromagnetic-surveying, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, impedance, magnetic-field-earth, magnetotelluric, mineral-resources-program, mrp, mt, new-mexico, phase, regional-conductivity-models, rio-grande-rift, time-series, tipper, usgs-5ada26b7e4b0e2c2dd297746
Organization: Department of the Interior