AndreaBozzo/ceres-open-data-index huggingface dataset:
Topographic point cloud for the intertidal zone at Puget Creek and Dickman Mill Park, Tacoma, WA, 2019-06-03

This portion of the data release presents topographic point clouds of the intertidal zone at Puget Creek and Dickman Mill Park, Tacoma, WA, derived from structure-from-motion (SfM) processing of aerial imagery collected with an unmanned aerial system (UAS) on 2019-06-03. The point clouds for Puget Creek and Dickman Mill Park contain 74,565,548 and 122,791,637 points, respectively, at an approximate point spacing of 1 point every 2 centimeters. Each point contains an explicit horizontal and vertical coordinate, color, intensity, and classification. Water portions of the point cloud were classified using a polygon digitized from the orthomosaic imagery derived from these surveys (also available in this data release). No other classifications were performed. The raw imagery used to create these point clouds was acquired using a UAS fitted with a Ricoh GR II digital camera featuring a global shutter. The UAS was flown on pre-programmed autonomous flight lines at an approximate altitude of 50 meters above ground level (AGL). The flight lines were oriented roughly shore-parallel and were spaced to provide approximately 70 percent overlap between images from adjacent lines. The camera was triggered at 1 Hz using a built-in intervalometer. The imagery was geotagged using positions from the UAS onboard single-frequency autonomous GPS. Twelve temporary ground control points (GCPs) were distributed throughout each survey area to establish survey control. The GCPs consisted of a combination of small square tarps with black-and-white cross patterns and "X" marks placed on the ground using temporary chalk. The GCP positions were measured using post-processed kinematic (PPK) GPS, using corrections from a GPS base station located approximately 5 kilometers from the study area.

Tags: aerial-and-satellite-photography, aerial-photography, altimetry, bathymetry-and-elevation, chmrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, commencement-bay, dickman-mill, dickman-mill-park, elevation, geomorphology, geoscientificinformation, geospatial-datasets, image-mosaics, orthophotography, pacific-coastal-and-marine-science-center, pcmsc, photography, pierce-county, puget-creek, puget-sound, remote-sensing, ruston, salish-sea, sfm, state-of-washington, structure-from-motion, tacoma, topographic-maps, topography, u-s-geological-survey, uas, unmanned-aerial-system, usgs, usgs-5ef51d3c82ced62aaae69eff
Organization: Department of the Interior
Digital surface models (DSM) for the intertidal zone at Puget Creek and Dickman Mill Park, Tacoma, WA, 2019-06-03

This portion of the data release presents digital surface models (DSM) and hillshade images of the intertidal zones at Puget Creek and Dickman Mill Park, Tacoma, WA. The DSMs have a resolution of 2.5 centimeters per pixel and were derived from structure-from-motion (SfM) processing of aerial imagery collected with an unmanned aerial system (UAS) on 2019-06-03. Unlike a digital elevation model (DEM), the DSM represents the elevation of the highest object within the bounds of a cell. Vegetation, buildings and other objects have not been removed from the data. In addition, data artifacts resulting from noise in the original imagery have not been removed. The raw imagery used to create this DSM was acquired using a UAS fitted with a Ricoh GR II digital camera featuring a global shutter. The UAS was flown on pre-programmed autonomous flight lines at an approximate altitude of 50 meters above ground level (AGL). The flight lines were oriented roughly shore-parallel and were spaced to provide approximately 70 percent overlap between images from adjacent lines. The camera was triggered at 1 Hz using a built-in intervalometer. The imagery was geotagged using positions from the UAS onboard single-frequency autonomous GPS. Twelve temporary ground control points (GCPs) were distributed throughout each survey area to establish survey control. The GCPs consisted of a combination of small square tarps with black-and-white cross patterns and "X" marks placed on the ground using temporary chalk. The GCP positions were measured using post-processed kinematic (PPK) GPS, using corrections from a GPS base station located approximately 5 kilometers from the study area. The DSMs and hillshade images have been formatted as cloud optimized GeoTIFFs with internal overviews and masks to facilitate cloud-based queries and display. For file naming purposes the spatial resolution has been rounded to the nearest centimeter in the file names (for instance, the 2.5-cm resolution Puget Creek DSM is named PugetCreek_2019-06-03_DSM_3cm.tif).

Tags: aerial-and-satellite-photography, aerial-photography, altimetry, bathymetry-and-elevation, chmrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, commencement-bay, dickman-mill, dickman-mill-park, elevation, geomorphology, geoscientificinformation, geospatial-datasets, image-mosaics, orthophotography, pacific-coastal-and-marine-science-center, pcmsc, photography, pierce-county, puget-creek, puget-sound, remote-sensing, ruston, salish-sea, sfm, state-of-washington, structure-from-motion, tacoma, topographic-maps, topography, u-s-geological-survey, uas, unmanned-aerial-system, usgs, usgs-5ef51d1582ced62aaae69ef9
Organization: Department of the Interior
Data for the report Assessing Potential Effects of Changes in Water Use in the Middle Carson River Basin with a Numerical Groundwater-Flow Model, Eagle, Dayton, and Churchill Valleys, West-Central Nevada

This USGS data release contains the data from the following publication: 
Morway, E.D., Buto, S.G., Niswonger, R.G., and Huntington, J.L., 2023, Assessing Potential Effects of Changes in Water Use in the Middle Carson River Basin with a Numerical Groundwater-Flow Model, Eagle, Dayton, and Churchill Valleys, West-Central Nevada: U.S. Geological Survey Scientific Investigations Report 2023–5008, 112 p., https://doi.org/10.3133/sir20235008.

Tags: agriculture, basin-101, basin-102, basin-103, basin-104, basin-105, carson-desert, carson-river, carson-river-region, carson-valley, churchill-valley, dayton-valley, eagle-valley, geoscientificinformation, groundwater, groundwater-level, groundwater-level-altitude, hydrographic-region-8, hydrology, imagerybasemapsearthcover, inlandwaters, irrigation, land-use-and-land-cover, land-use-change, mathematical-modeling, mathematical-simulation, middle-carson-river-basin, nevada, riparian, river, river-reaches, river-systems, stream, surface-water-non-marine, usgs-5ef51c7182ced62aaae69eeb
Organization: Department of the Interior
Background electrical resistivity tomography data, 2019

Electrical resistivity Tomography (ERT) is a direct current geophysical method that is used to estimate the subsurface distribution of the electrical resistivity (measured in ohm-meters, or ohm-m) of a material, and is based on the assumption that measured electric potentials (voltages) near current carrying electrodes are influenced by the electrical resistivities of the underlying material (Zohdy and others, 1974; Day-Lewis and others, 2008). Bulk resistivity is controlled by lithology, porosity, degree of saturation, chemistry of groundwater, and the conductivity of earth materials at the surface. If the degree of saturation is the only expected variable, as is the case near the groundwater replenishment and reuse project (GRRP) facility, groundwater infiltration paths can be identified with sequential ERT surveys. 
Data from two ERT surveys (YVHDWW_L1 and YVHDWW_L2) were collected orthogonal  to each other in May and September of 2019 to determine background resistivity values downslope of the GRRP facility prior to release of reclaimed wastewater to the infiltration ponds. The resistivity data are presented in native *.stg format, as well as topographic data for each electrode in *.trn format.

Tags: california, electrical-resistivity-imaging, environment, geophysics, geoscientificinformation, groundwater, groundwater-flow, joshua-tree-north, san-bernardino-county, usgs-5ef4e89682ced62aaae69246, yucca-valley-north
Organization: Department of the Interior
Data for laboratory experiments conducted with the mayfly Neocloeon triangulifer to derive uranium bioaccumulation parameters and predict site-specific U accumulation, 2016-2019

The U.S. Geological Survey is studying the underlying processes controlling uranium (U) bioaccumulation in aquatic invertebrates by experimentally parameterizing conditional rate constants for aqueous U uptake, dietary U uptake and U elimination. This data release makes available data from laboratory experiments conducted with the aquatic baetid mayfly Neocloeon triangulifer.

Tags: bioaccumulation, fort-collins-co, menlo-park-ca, uranium, usgs-5f122fac82ce21d4c409d3dc
Organization: Department of the Interior
Waipunalei ROD Management 2017-2018

This data release includes metadata and tabular datasets that document (1) Ceratocystis qPCR DNA detections in Passive Environmental Samplers (PES), (2) Ceratocystis qPCR DNA detections after pre-amplification, (3) wood and frass particle counts detected in PES (4) location of individual PES within the study area (5) ambrosia beetle gallery counts on felled ʻōhiʻa (6) ambrosia beetle gallery counts on insecticide treated bolts and (7) ambrosia beetles trapped in cross-vein panel traps. Data were used in the analysis of the manuscript "Effectiveness of Rapid ʻŌhiʻa Death management strategies at a focal disease outbreak on Hawaiʻi Island."

Tags: beetle-frass, ceratocystis-huliohia, ceratocystis-lukuohia, environment, hawaii-island, hawaiii, management, ohia-lehua, passive-environmental-samplers, rapid-ohia-death, usgs-5ef41c5082ced62aaae42cbd
Organization: Department of the Interior
GFLOW model used to characterize the groundwater resources of the Great Divide Unit of the Chequamegon-Nicolet National Forest, Wisconsin

The model simulates two-dimensional groundwater flow and base flow in streams in the 
Great Divide Unit of the Chequamegon-Nicolet National Forest using the analytic element 
program GFLOW (Haitjema, 1995). Significant streams and lakes in the model domain 
are represented at varying levels of detail as linesink elements fully connected to the 
groundwater system. The highest level of detail is given to surface water features within 
the Forest Unit, while greatly simplified features around the perimeter of the model provide 
a boundary condition for the groundwater flow system. Groundwater discharge to the 
linesinks is computed, and routed through the surface water network as base flow. 
Recharge to the groundwater system was obtained from a separate soil-water-balance 
(SWB) model, which uses topography, soils, land use, and climatic data to estimate 
recharge as deep drainage from the soil zone. Estimated average annual recharge 
rates were supplied to the GFLOW model on a regular 1-km grid covering the model 
domain, using the Hybrid GFLOW-MODFLOW feature of GFLOW.
The model was calibrated to groundwater levels, interpreted lake stages, and estimated 
annual base flows in streams, \with an emphasis on data collected since 1970. Parameters 
representing hydraulic conductivity, groundwater recharge, and surface water bed-sediment 
resistance were adjusted using the parameter estimation program PEST, to produce simulated 
groundwater levels and base flow estimates that agree with field measurements, and input 
parameter values that are consistent with previous studies and the conceptual understanding 
of the area. This USGS data release contains all of the input and output for the simulations 
described in the published report, which can be found in the main directory of this data release.

Tags: ashland-county, bayfield-county, chequamegon-nicolet-national-forest, copper-falls-formation, environment, geoscientificinformation, gflow, great-divide-unit, groundwater, groundwater-model, inlandwaters, iron-county, pest, price-county, sawyer-county, soil-water-balance-code, usgs-5ef4181f-e2fc-48f1-9261-5d4a445b4286, usgsgroundwatermodel, wisconsin
Organization: Department of the Interior
Repeat microgravity data from Albuquerque and Bernalillo County, New Mexico, 2016-2025 (ver. 4.0, June 2025)

This dataset represents the network-adjusted results of relative- and absolute-gravity surveys. Relative-gravity surveys were carried out using a Zero Length Spring, Inc. Burris relative-gravity meter. The effect of solid Earth tides and ocean loading were removed from the data. Instrument drift was removed by evaluating gravity change during repeated measurements at one or more base stations. Absolute-gravity surveys were carried out using a Micro-g LaCoste, Inc. A-10 absolute-gravity meter. Vertical gradients between the different measuring heights of the absolute- and relative-gravity meters were measured using a relative-gravity meter and tripod and were used to correlate the measurements between the two instruments. Relative-gravity differences and absolute-gravity data were combined using a least-squares network adjustment as implemented in the software GSadjust (https://github.com/jkennedy-usgs/sgp-gsadjust). Additional information about the network adjustment is provided under Data Quality. 
Version 2.0 of this dataset included additional data from seven surveys carried out in 2017-2019. 
Version 3.0 of this dataset included additional data from four additional surveys carried out in 2020-2021. Gravity values for the Dec. 2018 through Dec. 2019 surveys are different than version 2.0 because of updated laser-drift corrections for the absolute-gravity measurements. As of 2021, observed absolute-gravity values are also available in the Southwest Gravity Program Absolute Gravity Database (https://doi.org/10.5066/P984HN6J). Gravity values at all stations in version 3.0 of this data release are reported at land-surface elevation. Previously, absolute-gravity values at stations not included in the network adjustment (HRUN, MSDL, NEST, NMGS, SVIS, WBLF, WGHT, and WTF1) were reported at 100 cm height. 
Version 4.0 of this dataset includes additional data from three surveys carried out in 2023-2025. No data were collected in 2022. Beginning in 2023, surveys were carried out once per year (from 2016 to 2021, surveys were carried out three times per year). Additional stations were added to the network in 2023.
Data are provided in tabular (csv) format. The file contains one row per station, with multiple columns for gravity and gravity standard deviation. Storage change in meters of water can be calculated from gravity change using the Bouguer infinite slab approximation, whereby [change in gravity, in microGal]/41.9 = meters of water.
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
First posted - September 22, 2017
Revised - September 9, 2020, ver. 2.0
Revised - March 8, 2023, ver. 3.0
Revised - June 27, 2025, ver. 4.0


Tags: albuquerque, bernalillo-county, gravimeter-measurement, new-mexico, southwest-gravity-program, time-series-datasets, usgs-5ef37ada82ced62aaae3eeb8
Organization: Department of the Interior
Garnet Lu-Hf Ages and Isotope Data for the Stibnite, Idaho Area

Garnet Lu-Hf ages of the schist of Moores Station Formation (112.8 ± 6.9 Ma) and a cross-cutting garnetiferous felsic dike (99.3 ± 2.0 Ma) are the main contributions of this dataset. Ages are determined with lower-intercept isochron plots from multiple garnet and whole rock fractions, and garnet model age plots show distribution of garnet fractions with excluded points grayed out. Elemental concentrations of Lu and Hf, isotopic ratios, and epsilon Hf (initial and today) values are also included for each sample in table form. Samples are from 2 miles north-northwest of the abandoned townsite of Stibnite, Idaho.

Tags: epsilon-hf, garnet, geochronology, geoscientificinformation, lu-hf, usgs-5ef2477b82ced62aaae3bc39
Organization: Department of the Interior
Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.: Degree Flowlines

This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. The degree flowlines dataset was created to indicate how many culverts each flowline passes through within the Lake Ontario Restoration Assessment (LORA) study area. The more road crossings on a flowline the more disconnected that area is from the lake and the less suitable it will be for restoration. The GLCWRA initiative identifies coastal wetland areas that have the greatest habitat restoration potential. The data model uses seven parameters to identify and rank wetland restoration areas, resulting in a composite index raster that can be used by ecological managers and planners to assist with the selection of wetland restoration sites. The parameters are Parameter 0: Mask, Parameter 1: Hydroperiod, Parameter 2: Wetland Soils, Parameter 3: Flowlines, Parameter 4: Conservation and Recreation Lands, Parameter 5: Impervious Surfaces, and Parameter 6: Land Use (represents developed areas without impervious surfaces but high societal value). The ancillary data include dikes, degree flowlines, study area and culverts. These data layers are put through an ecological model, which results in a composite restoration index of ranked restoration areas.

Tags: environment, great-lakes, hydrology, lake, lake-ontario, lakeshore, location, natural-resource-management, new-york, remediation, resource-management, river, river-reaches, stream, usgs-5ef22f9d82ced62aaae3bb93, usgs-ema-low-mr-coastal-wetlands, water-quality, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.: Dikes

This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. This data represents the location of dikes within the Lake Ontario Restoration Assessment (LORA) study area. The GLCWRA initiative identifies coastal wetland areas that have the greatest habitat restoration potential. The data model uses seven parameters to identify and rank wetland restoration areas, resulting in a composite index raster that can be used by ecological managers and planners to assist with the selection of wetland restoration sites. The parameters are Parameter 0: Mask, Parameter 1: Hydroperiod, Parameter 2: Wetland Soils, Parameter 3: Flowlines, Parameter 4: Conservation and Recreation Lands, Parameter 5: Impervious Surfaces, and Parameter 6: Land Use (represents developed areas without impervious surfaces but high societal value). The ancillary data include dikes, degree flowlines, study area and culverts. These data layers are put through an ecological model, which results in a composite restoration index of ranked restoration areas.

Tags: dike, environment, great-lakes, hydrology, lake, lake-ontario, lakeshore, natural-resource-management, new-york, remediation, resource-management, river, river-reaches, stream, usgs-5ef22efc82ced62aaae3bb8d, water-quality, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Suspended-sediment and sand concentrations, streamflow, acoustic data, linear regression models, and loads for the Lower Minnesota River, 2012-2019

A series of linear regression models were developed and calibrated for two Lower Minnesota River sites. The linear regression models were either calibrated using acoustic or streamflow data to estimate suspended-sediment or sand concentration data. Data were collected during calendar years 2012 through 2019. The estimates of suspended-sediment and concentrations from the linear regression were used to calculate loads. The calibrated models were used to improve understanding of sediment and sand transport processes and increase accuracy of estimating sediment and sand concentrations and loads for the Lower Minnesota River, as part of the associated report, U.S. Geological Survey Open File Report  2021–1005 (https://doi.org/10.3133/ofr20211005).

Tags: minnesota, minnesota-river, sediment-transport, suspended-material-water, usgs-5ef2219682ced62aaae3bb76
Organization: Department of the Interior
Field Observations With Quantitative Displacement Measurements Obtained From Surface Faulting and Ground Deformation Features Produced by the Ridgecrest M6.4 and M7.1 Earthquake Sequence of July 4 and 5, 2019: Provisional Release 1

This dataset contains a provisional release of field observations at sites of fault
rupture and ground deformation features where quantitative displacement measurements were
obtained. This release does not include associated photographs and some observations where
there are outstanding questions about the measurements received; some duplicate observations
may exist in this dataset. Photos and resolved measurement data are anticipated for a future
release. This dataset consists of a comma-delimited ASCII text file where each line in the
file represents an observation, suitable for importing into a spreadsheet, database or GIS
application for visualization and analysis. These data are also summarized in a companion
Google Earth Keyhole Markup Language (kmz) file for easy visualization, which shows each
observation as a placemark with observation data displayed in the description
balloon.

Tags: california, china-lake, deformation-geologic, earthquake-occurrences, faulting-geologic, field-inventory-and-monitoring, geolocation-measurement, hazards, indian-wells-valley, inyo-county, kern-county, maps-and-atlases, ridgecrest, san-bernardino-county, searles-valley, seismology, tectonic-processes, usgs-5ef18f7f82ced62aaae19257
Organization: Department of the Interior
Shapefile of Fault Rupture and Ground Deformation Features Produced by the Ridgecrest M6.4 and M7.1 Earthquake Sequence of July 4 and 5, 2019: Provisional Release 1

This item contains linework that represents fault rupture and ground deformation features interpreted from field-based maps and observations, as well as airborne imagery, lidar, and geodetic imagery products.  Provisional maps of 
fault rupture and ground deformation are composed of a “mashup” of linework from these various sources, obtained and compiled as of December, 2019. If more than one linework representation exists for a segment of the fault rupture, linework showing the most rupture detail or best location accuracy, based on the judgment of the compiler, is preserved. On provisional maps, less than 25% of the linework is derived from high-resolution optical imagery and detailed field mapping. Because line segments from the various sources 
vary in location accuracy and precision based on the source equipment or imagery, mismatches can occur at the boundaries between linework from different sources. No corrections are made for these mismatches in the provisional maps. 
Final maps will reconcile all linework to a single registered base map

Tags: california, china-lake, earthquake-occurrences, faulting-geologic, field-inventory-and-monitoring, geolocation-measurement, hazards, indian-wells-valley, inyo-county, kern-county, maps-and-atlases, ridgecrest, san-bernardino-county, searles-valley, seismology, tectonic-processes, usgs-5ef132f282ced62aaae18faa
Organization: Department of the Interior