AndreaBozzo/ceres-open-data-index huggingface dataset:
Airborne magnetic survey data, East Poplar Oil Field and surrounding area, October 2014, Fort Peck Indian Reservation, Montana

Airborne electromagnetic (AEM) and magnetic survey data were collected during October 2014 in a 553-square-kilometer area that includes the East Poplar oil field on the Fort Peck Indian Reservation in northeastern Montana, USA. Data surround the city of Poplar and extend south into the Missouri River floodplain. Data were acquired with the SkyTEM301 transient electromagnetic helicopter-borne system together with a Geometrics G-822 magnetometer. The AEM average depth of investigation is about 80 m. The survey was flown at a nominal flight height of 30 m above terrain along north-south oriented flight lines; the majority of lines had a nominal spacing of 200 m with a sub-block area in the central portion of the oil field having 100 m spaced lines. East-west tie lines were flown with a nominal spacing of 8,000 m. The total survey distance is 1,332 line km. 
This data release includes raw and processed AEM data and spatially-constrained inverted resistivity depth sections along all flight lines. This release also includes unprocessed and processed magnetic data that has been drift corrected and draped to terrain.

Tags: aeromagnetic-surveying, cggsc, city-of-poplar, crustal-geophysics-and-geochemistry-science-center, east-poplar-oil-field, electromagnetic-surveying, energy-resources-program, environment, fort-peck-indian-reservation, fort-peck-office-of-environmental-protection, geophysics, geoscientificinformation, geospatial-datasets, magnetic-surveying, missouri-river, montana, natural-gas-resources, oil-and-gas-production, oil-resources, petroleum, poplar-river, produced-waters, resistivity, roosevelt-county, salinity, science-team-about-energy-and-plains-and-potholes-environments, steppe, usgs-57fdbb8be4b0824b2d13153b, williston-basin, wy-mtwsc, wyoming-montana-water-science-center
Organization: Department of the Interior
Bathymetric Survey of Snow Hollow Lake near Ironton, Missouri, 2023

Water-supply lakes are the primary source of water for many communities throughout Missouri.  Therefore, accurate and up-to-date estimates of lake capacity are important for managing and predicting adequate water-supply. Many of the water-supply lakes in Missouri were previously surveyed by the U.S. Geological Survey (USGS) in the early 2000s (Richards, 2013) and in 2013 (Huizinga, 2014); however, years of potential sedimentation may have resulted in reduced water storage capacity. Periodic bathymetric surveys are useful to update the area/capacity table and to determine changes in the bathymetric surface.
Snow Hollow Lake is a water-supply lake used by the city of Ironton in southeastern Missouri. The surface area of Snow Hollow Lake is about 31.5 acres at the full pool level of the primary spillway (1,285.5 feet above the North American Vertical Datum of 1988).  A previous bathymetric survey was completed in 2007 with a single-beam echosounder.  In April 2023, the USGS, in cooperation with the Missouri Department of Natural Resources and in collaboration with the City of Ironton, completed a bathymetric survey of Snow Hollow Lake using a multibeam echosounder.  The water-surface elevation during the survey was about 1,285.5 feet. The echosounder data can be combined with light detection and ranging (lidar) data to prepare a bathymetric map and a surface area and capacity table for the lake.
The gridded bathymetric point data (SnowHollowLake2023_bathy_pts.zip) were computed on a 0.82-foot (0.25-meter) grid using the Combined Uncertainty and Bathymetry Estimator (CUBE) method, which is used as the source of points to create the bathymetric surface.
Bathymetric quality-assurance data (SnowHollowLake2023_QA_raw.zip) were collected to evaluate the vertical accuracy of the gridded bathymetric point data.
Each of these two zip files contains a shapefile with an attribute table. Attribute/column labels of each table are described in the "Entity and attribute" section of the metadata file.
References Cited:
Huizinga, R.J., 2014, Bathymetric surveys and area/capacity tables of water-supply reservoirs for the city of Cameron, Missouri, July 2013: U.S. Geological Survey Open-File Report 2014–1005, 15 p., https://doi.org/10.3133/ofr20141005.
Richards, J.M., 2013, Bathymetric surveys of selected lakes in Missouri—2000–2008: U.S. Geological Survey Open-File Report 2013–1101, 9 p. with appendix, https://doi.org/10.3133/ofr20131101.

Tags: bathymetry, bathymetry-and-elevation, iron-county, ironton, missouri, multibeam, multibeam-sonar, snow-hollow-lake, u-s-geological-survey, usgs, usgs-65b29447d34e36a390452ec5
Organization: Department of the Interior
Site 26 Missouri River Bathymetry and Velocimetry Data at Dual Bridge Structure A4557 on Missouri State Highway 370 near St. Louis, Missouri, October 2010 through May 2016

These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Missouri River near dual bridges structure A4557 on Missouri State Highway 370 near St. Louis, Missouri, in 2010, 2011, and 2016.  Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel.  Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach.  Data collection software integrated and stored the depth data from the MBES and the horizontal and vertical position and attitude data of the vessel from the INS in real time.  Data processing required computer software to extract bathymetry data from the raw data files and to summarize and map the information.  Velocity data were collected using an acoustic Doppler current profiler (ADCP) mounted on a survey vessel equipped with a differential global positioning system (DGPS).  Data were collected as the vessel traversed the river along planned transect lines distributed throughout the reach. Velocity data were processed using the Velocity Mapping Toolbox (Parsons and other, 2013), and smoothed using neighboring nodes.

Tags: acoustic, adcp, ascii, bathymetry, doppler, elevation, geology, geoscientificinformation, imagerybasemapsearthcover, inland-waters, inlandwaters, location, missouri, missouri-river, mo, multibeam, oceans, st-louis, structure, u-s-geological-survey, usa, usgs, usgs-5942f669e4b0764e6c65fec2, water-depth, xyz
Organization: Department of the Interior
Spatially-explicit predictive maps of greater sage-grouse nest selection integrated with nest survival in Nevada and northeastern California, USA

We applied spatially-explicit models to a spatiotemporally robust dataset of greater sage-grouse (Centrocercus urophasianus) nest locations and fates across wildfire-altered sagebrush ecosystems of the Great Basin ecoregion, western USA. Using sage-grouse as a focal species, we quantified scale-dependent factors driving nest site selection and nest survival across broad spatial scales in order to identify wildfire impacts and other environmental influences on variation in nesting productivity across a broad ecoregion spanning mesic and xeric shrub communities. To investigate the consequences of habitat selection and explore the potential for a source-sink reproductive landscape, we sought to classify nesting habitat on a scale ranging from adaptive (high selection, high survival) to maladaptive (high selection, low survival).

Tags: biota, california, environment, geospatial-analysis, great-basin, habitat-alteration, maladaptive-habitat-selection, nest-survival, nevada, source-sink, usgs-5f614b7282ce38aaa2359afa, western-u-s
Organization: Department of the Interior
Goose Point/Point Platte Marsh Creation (PO-33): 2018 land-water classification

The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Goose Point/Point Platte Marsh Creation (PO-33) project for 2018. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their project boundary. To better evaluate the effectiveness of restoration efforts, a land-water classification is performed on specific CWPPRA sites to help assess landscape changes.

Tags: aerial-photography, conservation, cwppra, digital-elevation-models, ecosystem-monitoring, geographic-information-systems, gulf-of-mexico, image-collections, image-mosaics, louisiana, louisiana-coastal, po-33, remote-sensing, usgs-61842b23d34ec04fc9bfef83, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Unprocessed aerial imagery from 23 February 2024 coastal survey of Central California.

This is a set of 2323 oblique aerial photogrammetric images and their derivatives, collected from Monterey to Ragged Point with a fixed-lens digital camera from a crewed light aircraft, for processing using structure-from-motion photogrammetry and machine learning to study coastal geomorphic processes at high temporal and spatial resolution. JPG files in each folder follow the following naming convention: {CAM###}_{YYYYMMDDHHMMSS_ss}.jpg, where {CAM###} is the last 3 digits of the camera serial number, preceded by the letters "cam", and where {YYYYMMDDHHMMSS_ss} is the image acquisition time in {YearMonthDayHourMinuteSecond_hundredths} expressed in 24-hour time, as recorded by the camera's internal clock and written to the SubSecondDateTime field in the image EXIF data (for example CAM001_202009182311_50 would be the timestamp for an image with a SubSecondDateTime EXIF time/date stamp of September 18th, 2020 at 11:11.50 pm.

Tags: aerial-and-satellite-photography, aerial-photography, agents-of-coastal-change, anthropogenic-agents-of-coastal-change, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-development, coastal-ecosystems, coastal-erosion, coastal-landslides, coastal-processes, datasets, distributions, earth-sciences, ecology, environment, geography, geologic-processes, geology, geoscientificinformation, geospatial-datasets, habitat, image-analysis, image-collections, imagerybasemapsearthcover, infrastructure, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, remote-sensing, slope-processes, structures, u-s-geological-survey, united-states, united-states-and-territories, usgs, usgs-f226c5f0-5751-4d6f-a240-1de0e6b0a143, visible-light-imaging
Organization: Department of the Interior
Multi-Agency Gage Height and Discharge Datasets for Selected Streamgages on the Missouri River from 10/01/1936 to 12/31/2018

This dataset includes data for 12 selected streamgages on the Missouri River from 10/01/1936 through 12/31/2018. The data include time series of gage height at the following U.S. Geological Survey (USGS) streamgages:
06601200 Missouri River at Decatur, Nebraska
06609100 Missouri River at Blair, Nebraska
06805600 Missouri River at Plattsmouth, Nebraska
06810070 Missouri River at Brownville, Nebraska
06815990 Missouri River at Oregon, Missouri
Time series of gage height and discharge and rating tables are provided for the following USGS streamgages:
06486000 Missouri River at Sioux City, Iowa
06610000 Missouri River at Omaha, Nebraska
06807000 Missouri River at Nebraska City, Nebraska
06813500 Missouri River at Rulo, Nebraska
06818000 Missouri River at St. Joseph, Missouri
06893000 Missouri River at Kansas City, Missouri
Time series of discharge is provided for the USGS streamgage:
06467500 Missouri River at Yankton, South Dakota
U.S. Army Corps of Engineers (USACE), and National Weather Service (NWS) data were considered when compiling as complete a time-series as possible for each streamgage. Data sources from these agencies included digital database output as well as paper records and consist of both daily mean values and single daily observation data.

Tags: blair, brownville, decatur, discharge, gage-height, iowa, kansas-city, missouri, missouri-river, nebraska, nebraska-city, omaha, oregon, plattsmouth, rulo, sioux-city, south-dakota, st-joseph, stage, streamflow, usgs-5e5945b1e4b01d50924adaf5
Organization: Department of the Interior
High-Resolution Aeromagnetic Survey Over the New Madrid Seismic Zone, Missouri, Arkansas, and Tennessee

This data release provides access to a low-altitude, aeromagnetic survey over parts of Missouri, Arkansas, and Tennessee, an area centered about 100 km north of Memphis, Tennessee.  The survey covers parts of the southern arm of the New Madrid seismic zone, the northwestern margin of the Reelfoot rift, the Blytheville arch, and the Commerce geophysical lineament (reference:  Langenheim, V.E., and Hildenbrand, T.G., 1997, Geological Society of America Bulletin, v. 109, p. 580).  The survey is underlain by Paleocene and younger sediments, consisting of silt, clay, sand, and gravel.  Plutons and other intrusive rocks lie at depth.  These data were acquired between July 12 and July 28, 2013, by EDCON-PRJ, Inc., working under contract to the U.S. Geological Survey.  The nominal flying height was based on a best fit, pre-planned, three-dimensional draped surface targeted at 200 m above terrain, subject to aircraft climb and descent limitations. The average terrain clearance was 203 m.  Variable terrain clearance should be considered when modeling and interpreting these data.  Flight lines were spaced 400 m apart and directed with a heading of 148 degrees east of north; tie lines were spaced 4000 m apart and directed 58 degrees east of north.  A total of 12,868 line-kilometers were acquired over an area of approximately 4,646 square kilometers.  The details of the New Madrid aeromagnetic survey are described in the document NewMadrid_Tech_Report.pdf available for download in this data release.

Tags: aeromagnetic-surveying, blytheville, crowley-ridge, crust-earth, earthquakes, geoscientificinformation, magnetic-anomaly, magnetic-field-earth, magnetometer-measurement, neotectonic-processes, new-madrid, usgs-5e98bc0d82ce172707f6f8cc
Organization: Department of the Interior
Flow management for hydropower extirpates aquatic insects, undermining river food webs

Two unique datasets were gathered to document whether flow management for hydropower affects the abundance and diversity of aquatic insect assemblages.  The first dataset was collected in Grand Canyon from 2012-2014 by citizen scientists rafting the Colorado River.  Simple light traps were set out each night in camp and used to capture the adult life stages of aquatic insects that emerged from the Colorado River.  Three aquatic insect taxa were captured in sufficient abundance to analyze statistically including midges (order Diptera, family Chironomidae), micro-caddisflies (order Trichoptera, family Hydroptilidae), and blackflies (order Diptera, family Simuliidae, principally  Simulium arcticum).  These data were used to identify whether flow management for hydropower at Glen Canyon Dam was affecting the abundance or diversity of aquatic insects throughout the 400 kilometer long Grand Canyon reach of the Colorado River.  The second dataset that was gathered represents estimates of aquatic insect diversity across 16 different dam regulated rivers of the western United States.  These data were originally collected by various agencies including US Geological Survey personnel, other state and federal agencies, and consulting firms using standard invertebrate sampling methods.

Tags: adult-aquatic-insects, arizona, biodiversity, biological-traits, california, causey-dam, citizen-science, colorado, colorado-plateau, colorado-river, crystal-dam, dam, deer-creek-dam, echo-dam, ephemeroptera, ept, ept-taxa, flaming-gorge-dam, flood-elevation, fontenelle-dam, glen-canyon-dam, grand-canyon, green-river, gunnison-river, high-water-line, holter-dam, hoover-dam, idaho, kootenai-river, libby-dam, light-trapping-data, light-traps, lower-provo-river, missouri-river, montana, navajo-dam, nevada, new-mexico, ogden-river, oregon, owyhee-dam, owyhee-river, pine-flat-dam, plecoptera, river, river-ecology, san-juan-river, starvation-dam, strawberry-river, tongue-dam, tongue-river, trichoptera, united-states, usgs-570fe1a6e4b0ef3b7ca3580c, utah, wanship-dam, weber-river, western-united-states, wyoming
Organization: Department of the Interior
OahuE_baseline - Offshore baseline used to cast shore-perpendicular transects for measurement of historical shoreline positions along East Oahu, Hawaii (Kahuku to Makapuu)

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

Tags: baseline, cmgp, coastal-and-marine-geology-program, coastal-processes, continental-island-shore-complex, digital-shoreline-analysis-system, dsas, east-oahu, effects-of-coastal-change, environment, erosion, geoscientificinformation, hawaii, hawaii-ecoregion, kahuku-hawaii, linear-regression-rate, makapuu-hawaii, national-assessment-of-shoreline-change-project, oahu, oceans, shoreline-accretion, shoreline-change-rate, shoreline-erosion, u-s-geological-survey, united-states, university-of-hawaii-coastal-geology-group, usgs, usgs-85020fdf-cd2a-4b7d-9c19-fa3bdd0fa536, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Annual National Land Cover Database (NLCD) Collection 1 Land Cover Change

The USGS Land Cover program has combined the tried-and-true methodologies from premier land cover projects, National Land Cover Database (NLCD) and Land Change Monitoring, Assessment, and Projection (LCMAP), together with modern innovations in geospatial deep learning technologies to create the next generation of land cover and land change information. The product suite is called, “Annual NLCD” and includes six annual products that represent land cover and surface change characteristics of the U.S.:
1) Land Cover,
2) Land Cover Change,
3) Land Cover Confidence,
4) Fractional Impervious Surface,
5) Impervious Descriptor, and
6) Spectral Change Day of Year.
These land cover science product algorithms harness the remotely sensed Landsat data record to provide state-of-the-art land surface change information needed by scientists, resource managers, and decision-makers. Annual NLCD uses a modernized, integrated approach to map, monitor, synthesize, and understand the complexities of land use, cover, and condition change. With this first release, Annual NLCD, Collection 1.0, the six products are available for the Conterminous U.S. for 1985 – 2023. 
Questions about the Annual NLCD product suite can be directed to the Annual NLCD mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or custserv@usgs.gov. See included spatial metadata for more details.

Tags: analysis-ready-data-ard, change-detection, conus, digital-spatial-data, earth-observations, environment, geographic-information-science-gis, image-processing, imagerybasemapsearthcover, land-cover, landsat, time-series, u-s-geological-survey-usgs, united-states, usa, usgs-664e0d7dd34e702fe8744572
Organization: Department of the Interior
Mineral Commodity Summaries 2023 - QUARTZ CRYSTAL (INDUSTRIAL) Data Release

This data release contains the U.S. salient statistics and world production data extracted from the QUARTZ CRYSTAL (INDUSTRIAL) data sheet of the USGS Mineral Commodity Summaries 2023.

Tags: as-grown-cultured-quartz, cultured-quartz-crystal, industrial-quartz, lascas, lumbered-quartz, nonmetallic-mineral-resources, piezoelectric-quartz, usgs-63d1a51dd34e06fef150077e
Organization: Department of the Interior
Reprocessed boomer 3D seismic-reflection data collected in Estero Bay, offshore of Morro Bay, central California, from 2012-08-12 to 2012-10-05 (USGS field activity P-04-11-CC)

This dataset includes reprocessed boomer 3D seismic data collected by the Fugro Consultants Inc. in 2012, in Estero Bay, offshore of Morro Bay, central California.

Tags: bathymetry, bathymetry-and-elevation, boomer, cmg, cmgp, coastal-and-marine-geology-program, continental-margins, estero-bay, geoscientificinformation, morro-bay, oceans, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, san-luis-obispo-county, seismic-reflection-profiling, state-of-california, sub-bottom-profiling, u-s-geological-survey, usgs, usgs-7c4a3fcc-4e59-410c-b00b-a04cbebbd998
Organization: Department of the Interior
Tillage Practices in the Conterminous United States, 1989-2004--Datasets by Aggregated Watershed; ds573_tillage_lu01

This dataset is an aggregation of county-level tillage practices to the 8-digit hydrologic unit watershed. 
The original county-level data were collected by the Conservation Technology Information Center (CTIC) 
and is a proprietary dataset. The CTIC collects tillage data by conducting surveys about tillage systems 
for all counties in the United States. Watershed aggregations were done by overlying the 8-digit HUC 
polygons with a raster of county boundaries and a raster of the 2001 National Land Cover Data for land 
use 82 (cultivated land) to derive a county/land-use area weighting factor. The weighting factor was then 
applied to the county-level tillage data for the counties within each 8-digit HUC and summed to yield the 
total acreage of each tillage type within each 8-digit HUC watershed. Tillage systems include three types 
of conservation tillage (no-till, ridge-till, and mulch-till), reduced tillage, and intensive tillage. Total planted 
acreage for each tillage practice for each crop grown is reported to the CTIC. The dataset includes total 
planted acreage by tillage type for selected crops (corn, cotton, grain sorghum, soybeans, fallow, forage, 
newly established permanent pasture, spring and fall seeded small grains, and "other" crops) for 1989-2004. 
The CTIC did not collect data nationwide for 1999, 2001, and 2003. In addition, data were not collected for 
all counties every year. Missing data are coded with -9999.
The companion WBDHUC8 geospatial dataset is available online: 
https://water.usgs.gov/lookup/getspatial?wbdhuc8.xml .

Tags: agricultural-land, conterminous-u-s, crop-residue-management, inland-waters, inlandwaters, planted-acreage, tillage-practice, usgs-e3205291-aee1-4698-8f69-6efcc3a0c656
Organization: Department of the Interior