AndreaBozzo/ceres-open-data-index huggingface dataset:
EAARL Coastal Topography--Dauphin Island, Alabama, 2010: First Surface

ASCII XYZ point cloud data were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey (USGS). Elevation measurements were collected over Dauphin Island, post-Tropical Storm Bonnie (July 2010 tropical storm), using the National Aeronautics and Space Administration (NASA) Experimental Advanced Airborne Research Lidar (EAARL), a pulsed laser ranging system mounted onboard an aircraft to measure ground elevation, vegetation canopy, and coastal topography. The system uses high-frequency laser beams directed at the Earth's surface through an opening in the bottom of the aircraft's fuselage. The laser system records the time difference between emission of the laser beam and the reception of the reflected laser signal in the aircraft. The plane travels over the target area at approximately 60 meters per second at an elevation of approximately 300 meters, resulting in a laser swath of approximately 240 meters with an average point spacing of 2-3 meters. The EAARL, developed originally by NASA at Wallops Flight Facility in Virginia, measures ground elevation with a vertical resolution of 3 centimeters. A sampling rate of 3 kilohertz or higher results in an extremely dense spatial elevation dataset. Over 100 kilometers of coastline can be surveyed easily within a 3- to 4-hour mission. When resultant elevation maps for an area are analyzed, they provide a useful tool to make management decisions regarding land development.

Tags: 2010, airborne-lidar-processing-system, alabama, alps, altimetry, ascii-xyz-first-return, bathymetry-and-elevation, dauphin-island, digital-elevation-models, distributions, doi-usgs-cmg-gt-coastal-and-marine-geology-u-s-geological-survey-u-s-department-of-interior, eaarl, elevation, experimental-advanced-airborne-research-lidar, gulf-of-mexico, land-surface-gt-topography-gt-terrain-elevation, laser-altimetry, lidar, lidar-gt-light-detection-and-ranging, ocean-gt-coastal-processes-gt-barrier-islands, ocean-gt-coastal-processes-gt-beaches, ocean-gt-coastal-processes-gt-shoreline-displacement, post-tropical-storm-bonnie, remote-sensing, topographic-mapping, topography, usgs-f233731a-d6b5-4ebd-a832-52230cafcf84, usgs-national-assessment-project
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, 2016 and 2018 Site 0383 land-water matrix

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring to determine the efficacy of these projects. 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 390 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. This dataset consists of a matrix of five land-water products (2005, 2008, 2012, YYYY and 2018).  The resulting matrix has 32 possible classes defined by the combination of land and water categories on those five dates.

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-611f1318d34e40dd9c01d19f, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Point Locations of Dams in South Carolina, derived from U.S. Army Corps Engineers National Inventory of Dams

Reliable peak-streamflow information is critical for proper design of stream-related
infrastructure, such as bridges, and StreamStats provides a user-friendly interface to
estimate peak flows (https://streamstats.usgs.gov/ss/). StreamStats develops these peak-flow estimates using basin characteristics for the entire contributing area to a user-selected point; however, infrastructure planners often need to estimate flows for an area downstream from a known control such as a reservoir release or a weir. This dataset was compiled in cooperation with the South Carolina Department of Transportation (SCDOT) to provide a Geographic Information Systems layer of filtered regulation points from the National Inventory of Dams and StreamStats-derived basin polygons for associated points from the U.S. Army Corps Engineers (USACE) National Inventory of Dams and upstream basin polygons for those points, for use within the South Carolina StreamStats client application. A select few basin characteristics were computed for each basin in the polygon dataset to enable the application to estimate flows above and below each regulation point and better assist SCDOT personnel when designing new or revising existing stream-related infrastructure.

Tags: bridges, dam-sites, georgia, north-carolina, region-1, region-2, region-3, region-4, region-5, south-carolina, usgs-6154a155d34e0df5fb9d801a, watershed-management
Organization: Department of the Interior
Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T4 from 1979

Orthorectified image from aerial photograph of wetland T4 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.

Tags: aerial-photography, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagteddy, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagtshuler, cottonwood-lake-study-area, earth-sciencegtbiospheregtecosystemsgtaquatic-ecosystemsgtwetlands, earth-sciencegtbiospheregtecosystemsgtterrestrial-ecosystemsgtwetlands, environment, image-collections, imagerybasemapsearthcover, inlandwaters, north-dakota, northern-great-plains, platformgtaerial-photographs, prairie-pothole-region, stutsman-county, surface-water-non-marine, united-states-of-america, usgs-586d6c0ce4b0f5ce109fc8c6, wetland-ecosystems
Organization: Department of the Interior
Precipitation Runoff Modeling System Output Data from Hydrologic Simulations of the Southeastern United States for Historical and Future Conditions

The southeastern United States was modeled to produce historical and potential future simulations of streamflow statistics using the Precipitation Runoff Modeling System (PRMS) as part of the study documented in LaFontaine and others (2019). Hydrologic simulations using one observation-based historical climate dataset (Maurer and others, 2002), 13 used historical climate simulations using statistically downscaled general circulation model (GCM) output from the Coupled Model Intercomparison Project (CMIP5), and 45 used potential future climate simulations using statistically downscaled CMIP5 GCMs for four representative concentration pathways were used for the computation of 52 hydrologic statistics of streamflow using output data files from each simulation. Output files for the simulations include: 1) historical annual values of each statistic for each HRU and stream segment for the period 1952-2010 for the observation-based simulation, 1952-2005 for the 13 GCM-based historical simulations, and 2045-2075 for the 45 GCM-based future simulations, 2) PRMS summary output files with daily time step basin-averaged output variables for the period 1950-2010 for the observation-based simulation, 1950-2005 for the 13 GCM-based historical simulations, and 2006-2099 for the 45 GCM-based future simulations. The first year of the PRMS summary output files should be ignored due to model initiation.
LaFontaine, J.H., Hart, R.M., Hay, L.E., Farmer, W.H., Bock, A.R., Viger, R.J., Markstrom, S.L., Regan, R.S., and Driscoll, J.M., 2019, Simulation of Water Availability in the Southeastern United States for Historical and Potential Future Climate and Land-Cover Conditions: U.S. Geological Survey Scientific Investigations Report, 2019-5039, 83 p., https://doi.org/10.3133/sir20195039.
Maurer, E.P., Wood, A.W., Adam, J.C., Lettenmaier, D.P., and Nijssen, B., 2002, A long-term hydrologically based dataset of land surface fluxes and states for the conterminous United States: Journal of Climate, v. 15, no. 22, p. 3237–3251, accessed September 24, 2017, at https://doi.org/10.1175/1520-0442(2002)015&amp;lt;3237:ALTHBD&amp;gt;2.0.CO;2.

Tags: biota, model, streamflow, streamflow-modeling, usgs-597b37bbe4b0a38ca27563d4
Organization: Department of the Interior
SiteID-013 Byram River at Sherwood Ave at Greenwich, CT

These geospatial data were collected during the November 17, 2016 topographic survey of the Byram River at Sherwood Ave at Greenwich, CT.

Tags: acoustic, acoustic-doppler-current-profiling, adcp, ascii, bathymetry, byram-river, connecticut, ct, doppler, elevation, geology, geoscientificinformation, greenwich, imagerybasemapsearthcover, inland-waters, inlandwaters, lidar, location, multibeam, oceans, structure, u-s-geological-survey, usa, usgs, usgs-590c9a13e4b0e541a038e374, water-depth, xyz
Organization: Department of the Interior
Mineral Commodity Summaries 2025 - STRONTIUM Data Release

This data release contains the U.S. salient statistics and world production data extracted from the STRONTIUM data sheet of the USGS Mineral Commodity Summaries 2025.

Tags: celestite, metallic-mineral-resources, strontium, usgs-6798f26fd34ea8c18376e84b
Organization: Department of the Interior
SIR2016-5029_cfwgoshor_1b: Flood Inundation Depth for a Flow of 12,000 cfs at the Gage Coast Fork Willamette River at Goshen, Oregon (Area of Uncertainty)

The domain of the model is as follows: Row River from Dorena dam to the confluence with the Coast Fork; 
Coast Fork from Cottage Grove dam to the confluence with the Middle Fork; Silk Creek from River Mile 1.7 
to the confluence with the Coast Fork. The basis for these features is the Willamette Flood Insurance Study – 
Phase One (2013). The hydraulics and hydrology for the FIS were reused in the production of these polygons; 
the reports and information associated with the FIS are applicable to this product. The Digital Elevation Model 
(DEM) utilized for the Willamette FIS submittal was produced by combining multiple overlapping topographic 
surveys for the Middle Fork and Coast Fork of the Willamette River. This DEM was created from four sources: 
LiDAR of the Springfield area that was flown in 2008, LiDAR of Silk Creek that was flown in 2011, LiDAR of 
Fall Creek that was flown in 2012, and photogrammetry of the Middle Fork and Coast Fork of the Willamette 
River that was flown in 2004. In areas where no high-resolution elevation data were available, USGS National 
Elevation Dataset (NED) data were used to supplement the DEM. The shapefiles Hi_Res_Extents.shp and 
Low_Res_Extents.shp define the limits of these areas. The horizontal datum of the DEM is NAD 1983 State 
Plane-Oregon South HARN with units of International Feet (NAD83). The vertical datum of the elevation model 
is NAVD 1988 with units of international feet (NAVD-88). In addition, some areas show surveyed bathymetry 
within the channel. These can be noted by the sharp increase in apparent depth, creating a stripe across the 
depth grid when compared to the LiDAR data, which represents the water surface elevation at the time of the 
aerial data collection. Bridge decks are generally removed from DEMs as standard practice. Therefore, these 
features may be shown as inundated when they are not. An effort to clip flood extents on bridge decks was 
made, but judgement should be used when estimating the usefulness of a bridge during flood flow. Comparing 
the bridge to the surrounding ground can be more informative in this respect than simply looking at the bridge 
itself. The features and depth grids stop as the Coast Fork approaches the Middle Fork on the northern end 
of the reach. See cfwgoshOR_breach.shp for information regarding this file. This represents the depth grid for 
the 12,000 cfs profile.

Tags: coast-fork-willamette-river, creswell, elevation, environment, flood, flood-inundation-maps, flooded-area, geoscientificinformation, geospatial-analysis, goshen, high-water-marks, inlandwaters, oregon, river-stream, usgs-13105daf-e32e-4ae3-85c7-a9d2b9441de3, willamette-valley
Organization: Department of the Interior
Slope from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database -- North America

This dataset contains the slope for North America from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database. The slope data were developed and distributed by processing units. There are 13 processing units for North America. The distribution files have the number of the processing unit appended to the end of the zip file name (e.g. na_slope_3_2.zip contains the slope data for unit 3-2). The HDMA database provides comprehensive and consistent global coverage of raster and vector topographically derived layers, including raster layers of digital elevation model (DEM) data, flow direction, flow accumulation, slope, and compound topographic index (CTI); and vector layers of streams and catchment boundaries. The coverage of the data is global (-180º, 180º, -90º, 90º) with the underlying DEM being a hybrid of three datasets: HydroSHEDS (Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales), Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) and the Shuttle Radar Topography Mission (SRTM). For most of the globe south of 60º North, the raster resolution of the data is 3-arc-seconds, corresponding to the resolution of the SRTM. For the areas North of 60º, the resolution is 7.5-arc-seconds (the smallest resolution of the GMTED2010 dataset) except for Greenland, where the resolution is 30-arc-seconds. The streams and catchments are attributed with Pfafstetter codes, based on a hierarchical numbering system, that carry important topological information.

Tags: dem-stream-hydrologic-derivatives-pfafstetter, digital-elevation-models, elevation, inlandwaters, pfafstetter, streams, usgs-591b5457e4b0a7fdb43c8d2b
Organization: Department of the Interior
Suspended sediment concentrations from water samples collected in South San Francisco Bay, California, and adjacent tidal creeks, Winter 2021-2022

Water samples were collected in South San Francisco Bay and Whale's Tail South marsh tidal creeks from November 2021 through February 2022. The water samples were collected near pre-established USGS instrument moorings with a peristaltic pump, via a Niskin bottle, or directly with a sample bottle to analyze for suspended sediment concentration.

Tags: cargill-marsh, cmhrp, coastal-and-marine-hazards-and-resources-program, eden-landing-ecological-reserve, field-sampling, marine-water-quality, oceans, pacific-coastal-and-marine-science-center, pcmsc, san-francisco-bay, state-of-california, suspended-material-water, u-s-geological-survey, usgs, usgs-9602afa5-7983-4cf5-9543-6f09504fee81, water-quality-parameters, water-sampling, whales-tail-marsh, whales-tail-south-marsh
Organization: Department of the Interior
Land-Based Frequency Domain Electromagnetic Surveys at the Callahan Mine Superfund Site in Brooksville, Maine: October 2016 to May 2017

In October 2016 and May 2017 frequency domain electromagnetic (FDEM) methods were used to image the electrical conductivity of the shallow subsurface.  Electrical conductivity can be caused by changes in the soil, overburden, saturation, and water quality.  Two multi-frequency tools were used at the site. One of the  tools has a  1.6-meter (m) long antenna that was used in the vertical-dipole mode to collect data in stepped-frequency mode at seven user-selected frequencies ranging from 1530 to 47,970 Hertz (Hz).  The GEM2HG has an antenna that is 2.1 m long, and it was used in vertical dipole mode with five stepped frequencies ranging from 90 to 24,000 Hz.  In general, the lower frequencies penetrate to deeper depths, but the data are an average over a larger volume; whereas higher frequencies penetrate only to shallow depths but provide a smaller volume-averaged measurement.  
Data were collected at walking speeds of 3 kilometers per hour (km/hr), with a full suite of seven frequencies measured every 0.5 seconds (s), which translates to a complete measurement suite about every 0.4 m along the profile.  All measurements were georeferenced with a global positioning system (GPS).   Both the primary and secondary fields were measured at the receiver coil, and the ratio of the secondary to primary magnetic fields was recorded as in-phase and quadrature.  The in-phase part of the EM field relates to the magnetic susceptibility, and the quadrature component relates to apparent conductivity (aEC) .  Raw data for each frequency and Q Sum (a summation of quadrature values) were recorded in parts per million (ppm). In post processing, EM data were converted to magnetic susceptibility and aEC, which can be inverted to get the actual depth of the electrical conductivity value. This data release provides the raw ppm values, the magnetic susceptibility, and the apparent electrical conductivity values.

Tags: electromagnetic-induction, electromagnetic-surveying, frequency-domain-electromagnetic, geophysics, groundwater, resistivity, usgs-5cb7d225e4b0c3b0065d8171
Organization: Department of the Interior
Rasters and tables for selection and survival of Greater Sage-grouse nests and broods in the Bi-State Distinct Population Segment of California and Nevada

We demonstrate a quantitative approach to differentiate source and sink habitats at large spatial scales using the greater sage-grouse (Centrocercus urophasianus; hereafter, sage-grouse), an indicator species for sagebrush ecosystems, as a case-study. We evaluated both selection and survival across multiple reproductive life stages (nesting, brood-rearing) in the Bi-State Distinct Population Segment (DPS), a genetically distinct and geographically isolated population of sage-grouse on the southwestern edge of the species’ range. Our approach allowed us to identify both mismatches between selection and survival and trade-offs between life stages. These findings suggest competing resource demands across time, with predation risk being a dominant factor for nests and during early brood-rearing when chicks are smaller and flightless, whereas access to forage resources becomes more important during late brood-rearing when resources become increasingly limited.
These data consist of both continuous indices and categorical rasters representing selection and survival for the nesting and brooding seasons. The selection and survival categories were then intersected again to create source-sink classes. Seasonal results were also combined to produce composite rasters which represent selection, survival, and source-sinks across the entire reproductive life cycle of sage-grouse.

Tags: animal-behavior, bi-state, biota, california, demographic-response, ecology, greater-sage-grouse, habitat-selection, life-stages, native-species, nevada, reproduction, shrubland-ecosystems, source-sink, survival, usgs-65ea64c8d34e1403329783c8
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2021 Site 3680 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 2021 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. Five previous assessments have been conducted (2005, 2008, 2012, 2015/2016, and 2018). 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-64dce2e2d34e5f6cd552807e, wetland, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2018 Site 0514 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-611d2c04d34e40dd9c0129cf, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior