AndreaBozzo/ceres-open-data-index huggingface dataset:
Cameron Reservoir Number 1 near Cameron, Missouri, 2022

Water supply lakes are the primary source of water for many communities in northern and western 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.
Cameron Reservoir Number 1 is a water supply lake used by the city of Cameron in northwestern Missouri. The surface area of Cameron Reservoir Number 1 is about 16 acres at the full pool level of the primary spillway (938.2 feet above the North American Vertical Datum of 1988).  A previous bathymetric survey was completed in 2013 (Huizinga, 2014) with a multibeam echosounder.  In April 2022, the USGS, in cooperation with the Missouri Department of Natural Resources (MoDNR) and in collaboration with the City of Cameron, completed a bathymetric survey of Cameron Reservoir Number 1 using a multibeam echosounder.  The water-surface elevation during the survey was about 938.2 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 (CameronRes1-2022_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 (CameronRes1-2022_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, cameron, cameron-reservoir-number-1, dekalb-county, missouri, multibeam, multibeam-sonar, u-s-geological-survey, usgs, usgs-64b0363cd34e70357a297511
Organization: Department of the Interior
Cameron Reservoir Number 2 near Cameron, Missouri, 2022

Water supply lakes are the primary source of water for many communities in northern and western 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.
Cameron Reservoir Number 2 is a water supply lake used by the city of Cameron in northwestern Missouri. The surface area of Cameron Reservoir Number 2 is about 30 acres at the full pool level of the primary spillway (943.8 feet above the North American Vertical Datum of 1988).  A previous bathymetric survey was completed in 2013 (Huizinga, 2014) with a multibeam echosounder.  In April 2022, the USGS, in cooperation with the Missouri Department of Natural Resources (MoDNR) and in collaboration with the City of Cameron, completed a bathymetric survey of Cameron Reservoir Number 2 using a multibeam echosounder.  The water-surface elevation during the survey was about 943.8 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 (CameronRes2-2022_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 (CameronRes2-2022_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, cameron, cameron-reservoir-number-2, dekalb-county, missouri, multibeam, multibeam-sonar, u-s-geological-survey, usgs, usgs-64b03665d34e70357a297515
Organization: Department of the Interior
Modeled daily salinity derived from multiple machine learning methodologies and generalized additive models for three salinity monitoring sites in Mobile Bay, northern Gulf of Mexico, 1980–2021

Results from generalized additive models (GAM), random forest models (RFM), and cubist models (CUB) for three Dauphin Island Sealab (DIS) operated salinity sites in Mobile Bay are reported in this data release. These sites included Meaher Park (DIS:MHPA1), Middle Bay Lighthouse (DIS:MBLA1), and Dauphin Island (DIS:DPIA1). The constructed models predicted a 42-year daily salinity record from 1980 to 2021 at each site based on incomplete imputed salinity records and several explanatory variables. Explanatory variables included: daily streamflow from 8 United States Geological Survey (USGS) streamgages, daily minimum and maximum temperature, precipitation, vapor pressure, wind speed, wind direction, horizontal and vertical wind speed lagged from 0 to 7 days, altitude and azimuth of the sun and moon, and the positive and negative slopes of streamflow change over the previous seven days. Two GAM, RFM, and CUB salinity models were developed for each site using even- and odd-year-holdout. The final predicted salinity time series were derived from inverse error weighted pooling of the even- and odd-year model results for each model type. A similar methodology was used to pool the even- and odd-year models from the three model types to create a time series of daily salinity predictions from the ensemble of models. By applying model tests, prediction intervals estimations for the GAM, RFM, CUB were determined with model ensemble pooled predictions as shown in model input. Model input even- and odd-year models, helped determine pooling predictions and prediction intervals. RFM and CUB models displayed variable importance along with variable significance as seen in the GAM model. Predicted salinity levels exhibit variation from measured values, with certain maximum salinity predictions potentially exceeding the natural conditions expected in Mobile Bay.

Tags: cubist-model, dauphin-island-sea-labs, generalized-additive-model, gulf-of-mexico, mobile-bay, modeling, random-forest-machine-learning-model, salinity, usgs-64b04e5cd34e70357a2975b2
Organization: Department of the Interior
Mountain Plover population and habitat assessments in Texas, 2019–2020

We conducted population and habitat assessments for Mountain Plovers in Texas during winters of 2019 and 2020. We used roadside surveys and distance-sampling to estimate bird density and calculate population totals for the study area, which included parts of five ecoregions (Chihuahuan Deserts, High Plains, Central Great Plains, Southern Texas Plains, Texas Blackland Prairies, and Western Gulf Coastal Plain). In 2019, we surveyed 103 transects along 3,032 km (1,884 mi) and, in 2020, we surveyed 152 transects along 4,985 km (3,098 mi). When driving along transects, we stopped every 3.2 km (2 mi) to assess habitat conditions (vegetation height, vegetation density, etc.) and land cover (National Land Cover Database categories).

Tags: biota, central-great-plains, charadrius-montanus, chihuahuan-deserts, distance-sampling, high-plains, mountain-plover, non-breeding-habitat, southern-texas-plains, texas, texas-blackland-prairies, usgs-64b05469d34e70357a2979dc, western-gulf-coastal-plain
Organization: Department of the Interior
Eelgrass and substrate characteristics in Bellingham Bay, Washington, July 2019

Eelgrass (Zostera marina) characteristics, sediment grain size distributions, sediment total organic carbon contents (TOC), carbon isotope ratios of sediment organic matter, and total carbon to total nitrogen ratios were measured at four lower intertidal sites in Bellingham Bay, Washington, July 2-5, 2019.

Tags: aquatic-vegetation, bay, bellingham-bay, carbon-isotope-analysis, cmhrp, coastal-and-marine-hazards-and-resources-program, environment, geoscientificinformation, grain-size-analysis, habitat, pacific-coastal-and-marine-science-center, pcmsc, physical-and-chemical-characteristics-of-habitats, seagrass-beds, sediment, state-of-washington, substrate, tidal-flat, u-s-geological-survey, usgs, usgs-64b07fa8d34e70357a29eaa0, whatcom-county
Organization: Department of the Interior
Data collected in 2008-2022 to assess nearshore subtidal community responses to increased sediment load during and after removal of the Elwha River dams, Washington State, USA

Data are time series of substrate grain size, vertical relief, and measures of abundance (e.g., density, percent cover) of the nearshore subtidal (5-16 m depth) benthic community (vegetation, invertebrates, and fish) collected before (2008-2011), during (2012-2014), and after dam removal (2015-2022).

Tags: benthos, biota, clallam-county, elwha-river, environment, marine-nearshore-subtidal, oceans, species-diversity, strait-of-juan-de-fuca, usgs-64b066a2d34e70357a297a0b
Organization: Department of the Interior
Mofete and San Vito geothermal field ore mineralization data

The Mofete and San Vito geothermal fields, located west of Naples, Italy, are part of the Campi Flegrei volcanic complex. A joint venture in the 1970s between AGIP and ENEL, the Italian National electric and petroleum utilities, respectively, drilled exploratory wells to a depth of ~3000 m in an attempt to locate high-enthalpy fluids for potential power production. Drill core samples from Mofete wells (MF1, MF2, and MF5) and from San Vito wells (SV1 and SV3) contain authigenic ore mineralization. Pyrite, pyrrhotite, and galena are abundant. Less common are chalcopyrite, sphalerite, arsenopyrite, scheelite, and rare are millerite, violarite, native bismuth, tellurobismuthite, cassiterite, molybdenite, and acanthite. Mineral chemistry was determined by electron microprobe wavelength dispersive spectroscopy aided by scanning electron microscope equipped with energy-dispersive spectroscopy. The mineral assemblage suggests a low sulfidation environment and the absence of pyrrhotite in the MF1 well and upper part of the SV1 well indicates variable sulfur activity. Scheelite in the SV3 well is zoned with variable Mo6+ content; low Mo6+ zones show blue cathodoluminescence, whereas, zones with high Mo6+ content are yellow to brown.

Tags: geothermal-fields, ore-deposits, pyrite, pyrrhotite, sulfides, usgs-64b168e2d34e70357a2a00ab
Organization: Department of the Interior
Digital Representation of Selected Isopach and Geologic Maps from U.S. Geological Survey Paleotectonic Publications

Important hydrological and geotechnical information from U.S. Geological Survey (USGS) reports detailing selected paleotectonic geologic periods, including the Jurassic (McKee and others, 1956), Triassic (McKee and others, 1959), Permian (McKee and McKee, 1967), Pennsylvanian (McKee and Crosby, 1975), and Mississippian (Craig and Connor, 1979), were digitized from scanned plates. Discrete well points attributed with a thickness value and isopach contours were captured and, along with geologic contact information from the Geologic Map of North America (GMNA) (Garrity and Soller, 2009), were used to interpolate geologic thickness for each period.  
Data available in this data release include five compressed (.zip) geodatabases (.gdb).
Citations:
McKee, E.D., Oriel, S.S., Swanson, V.E., MacLachlan, M.E., MacLachlan, J.C., Ketner, K.B., Goldsmith, J.W., Bell, R.Y., Jameson, D.J., and Imlay, R.W., 1956, Paleotectonic maps of the Jurassic System: U.S. Geological Survey Miscellaneous Geologic Investigations Map I-175, 6 p., 9 plates, https://doi.org/10.3133/i175.
McKee, E.D., Oriel, S.S., Ketner, K.B., MacLachlan, M.E., Goldsmith, J.W., MacLachlan, J.C., and Mudge, M.R., 1959, Paleotectonic maps of the Triassic System: U.S. Geological Survey Miscellaneous Geologic Investigations Map I-300, 33 p., 9 plates, https://doi.org/10.3133/i300.
McKee, E.D., and McKee, S.S., 1967, Paleotectonic maps of the Permian System: U.S. Geological Survey Miscellaneous Geologic Investigations Map I-450: 1 table, 20 plates, https://doi.org/10.3133/i450.
McKee, E.D., and Crosby, E.J., 1975, Paleotectonic investigations of the Pennsylvanian system in the United States, Part III: Plates: U.S. Geological Survey Professional Paper 853-3, 39 plates, https://doi.org/10.3133/pp8533.
Craig, L.C., and Connor, C.W., 1979, Paleotectonic Investigations of the Mississippian System in the United States: U.S. Geological Survey Professional Paper 1010, 2 parts, 29 plates, https://doi.org/10.3133/pp1010.
Garrity, C.P., and Soller, D.R., 2009, Database of the Geologic Map of North America; adapted from the map by J.C. Reed, Jr. and others (2005): U.S. Geological Survey Data Series 424, https://doi.org/10.3133/ds424.

Tags: bedrock-geologic-units, geologic-structure, geoscientificinformation, jurassic, maps-and-atlases, mississippian, pennsylvanian, permian, stratigraphic-sections, structural-geology, tectonic-processes, triassic, usgs-64b17f5ad34e70357a2a025f
Organization: Department of the Interior
Plant and insect pollinator diversity data from Conservation Reserve Program fields across an agricultural gradient in eastern Iowa

This data release includes sampling location identification and timing data as well as plant and insect pollinator taxonomic information in Conservation Reserve Program fields. Sampling took place during July and August of 2019. Fields were located on private land managed for the U.S.Department of Agriculture Conservation Reserve Program in eastern central Iowa, U.S.A.

Tags: agriculture, bees-and-wasps, biodiversity, biota, conservation-reserve-program, pesticide-and-herbicide-contamination, pollinators, usgs-64b19555d34e70357a2a070e
Organization: Department of the Interior
HATTERAS_TRANSECTS: Hatteras Island shoreline transects and shoreline change rate calculations: Oregon Inlet to Cape Hatteras Point, North Carolina (geographic, WGS84).

The shoreline of Cape Hatteras, North Carolina, is experiencing long-term coastal erosion. In order to better understand and monitor the changing coastline, historical aerial imagery is used to map shoreline change. For the area of Hatteras Island from Cape Point to Oregon Inlet, fourteen aerial datasets from 1978-2002 were scanned and georeferenced for use in a Geographic Information System (GIS). Shoreline positions (high water line) were digitized from georeferenced imagery. The shoreline vectors were then compiled for use in the Digital Shoreline Analysis System (DSAS) ArcGIS extension in order to generate rates of shoreline change.

Tags: accretion, atlantic-coast, atlantic-ocean, baseline, buxton-quadrangle, caha, cape-hatteras-lighthouse, cape-hatteras-national-seashore, cape-hatteras-point, cape-hatteras-quadrangle, cmgp, coastal-and-marine-geology-program, digital-shoreline-analysis-system, dsas, endpoint-rate, environment, erosion, geology, geomorphology, geoscientificinformation, hatteras-island, high-water-line, historical-aerial-imagery, linear-regression-rate, little-kinnakeet-quadrangle, monitoring, national-park-service, north-america, north-carolina, northeast-region, oceans, oceans-and-coastal, oceans-and-estuaries, oregon-inlet, oregon-inlet-quadrangle, pamlico-sound, pea-island-national-wildlife-refuge, pea-island-quadrangle, rodanthe-quadrangle, shoreline, shoreline-change, shoreline-change-rate, st-petersburg-coastal-and-marine-science-center, storms, transect, u-s-geological-survey, united-states, usgs, usgs-64b2dd56-9efa-4bb2-a30d-4b73f42c9eab
Organization: Department of the Interior
Beach Profile Data Collected from Madeira Beach, Florida (January 15, 2021)

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

Tags: altimetry, bathymetry-and-elevation, beach, cmhrp, coastal-and-marine-hazards-and-resources-program, distributions, earth-science-gt-land-surface-gt-topography-gt-terrain-elevation, earth-science-gt-oceans-gt-coastal-processes-gt-beaches, elevation, elevation-data, florida, geology, geomorphology, geoscientificinformation, global-positioning-system-gps-observations, gps-measurement, gulf-of-mexico, madeira-beach, marine-geology, oceans, providers-gt-government-agencies-u-s-federal-agencies-gt-doi-gt-usgs-gt-doi-usgs-cmg-gt-coastal, spcmsc, st-petersburg-coastal-and-marine-science-center, topographic-mapping, topography, u-s-geological-survey, usgs, usgs-64b37cfb-68a5-4286-9dc3-14eb5db8c7e1
Organization: Department of the Interior
Digitized sonic velocity and density log data of Central Coast Ranges, California

Sonic velocity and density well logs in the Central Coast Ranges in California were digitized by hand.  These logs are available as scanned files (pdfs and tiffs) on the California Division of Oil, Gas, and Geothermal Resources website and the data consist of interval transit times and bulk density measured downhole in oil and gas wells in the region. Sonic velocity data were also compiled from a number of sources.  A summary table provides basic information of these wells, available on the California Division of Oil, Gas, and Geothermal Resources website.

Tags: density-well-log, geoscientificinformation, seismic-velocity, sonic-well-log, usgs-64b59e39d34e70357a2af6a4, well-information
Organization: Department of the Interior
XYZ dataset of lidar, single-beam and multibeam sonar data collected at Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, August 2022

This dataset is comprised of three files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (lidar) data representing the beach topography and sonar data representing near-shore bathymetry of Lake Superior at Minnesota Point, near the Duluth entry, Duluth, Minnesota. The point data are the same as that in LAS files that were used to create the digital elevation models (DEMs) of the approximate 1.75 square kilometer survey area. Lidar data were collected  August 22, 2022 using a boat mounted Velodyne VLP-16 unit and methodology similar to that described by Huizinga and Wagner (2019). Multibeam sonar data were collected August 22-23, 2022 using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit and methodology similar to that described by Richards and Huizinga (2018). Single-beam sonar data were collected August 23, 2022 using a Ceescope echosounder and methodology similar to that described by Wilson and Richards (2006).This project followed similar methods to that of Wagner, Lund, and Sanks (2020), who completed a similar survey in 2019.

Tags: bathymetry, bathymetry-and-elevation, dem, digital-elevation-models, duluth, elevation, great-lakes, hydroacoustic, inlandwaters, lake-superior, las, lidar, limnology, sonar, southwestern-lake-superior, superior, usgs-64b5310ad34e70357a2adc0a, xyz
Organization: Department of the Interior
Beach topography and near-shore bathymetry of Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, October-November 2022

These data are digital elevation models (DEMs) of the beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, near the Superior entry, Duluth, Minnesota. The DEMs have 1 meter (m; 3.28084 ft) and/or 10 m (32.8084 ft) cell size and was created from a LAS dataset of terrestrial light detection and ranging (LiDAR) data representing the beach topography and sonar data representing the bathymetry for an approximate 1.78 square kilometer survey area.  Average point spacing of the LAS files in the dataset are as follows:  lidar, 0.055 meters (m); multibeam sonar, 0.511 m; single-beam sonar, 1.687 m. Lidar data were collected November 01, 2022 using a boat mounted Velodyne VLP-16 unit and methodology similar to that described by Huizinga and Wagner (2019). Multibeam sonar data were collected October 31-November 01, 2022 using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit and methodology similar to that described by Richards and Huizinga (2018). Single-beam sonar data were collected November 01, 2022 using a Ceescope echosounder and methodology similar to that described by Wilson and Richards (2006). This project followed similar methods to that of Wagner, Lund, and Sanks (2020), who completed a similar survey in 2019.

Tags: bathymetry, bathymetry-and-elevation, dem, digital-elevation-models, duluth, elevation, great-lakes, hydroacoustic, inlandwaters, lake-superior, las, lidar, limnology, sonar, southwestern-lake-superior, superior, usgs-64b53141d34e70357a2adc0e, xyz
Organization: Department of the Interior