AndreaBozzo/ceres-open-data-index huggingface dataset:
GIS Data for Geologic Map of the Salmon National Forest and Vicinity, East-Central Idaho

This U.S. Geological Survey (USGS) data release provides an updated digital geospatial database for the geologic map of the Salmon National Forest and vicinity, east-central Idaho (Evans and Green, 2003). Attribute tables and geospatial features (points, lines and polygons) conform to the Geologic Map Schema (USGS NCGMP, 2020) and represent the geologic map as published in USGS Investigations Series Map I-2765. Minor errors, such as mistakes in line decoration or differences between the digital data and the map image, are corrected in this version.

The database represents the geology for the 11,265 square kilometer, geologically complex Salmon National Forest in two plates, at a publication scale of 1:100,000. The map covers primarily Lemhi County, but also includes minor parts of Beaverhead, Custer, Idaho, Ravalli and Valley Counties. New geologic mapping was undertaken between 1990 and 2002 and synthesized with older published maps, providing significant stratigraphic and structural data, age data for intrusive rocks, and interpretations of geologic development.

References: 
Evans, K.V., Green, G.N., 2003, Geologic map of the Salmon National Forest and vicinity, east-central Idaho: U.S. Geological Survey Geologic Investigations Series Map I-2765, scale 1:100,000, https://doi.org/10.3133/i2765.

U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema)- A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://doi.org//10.3133/tm11B10. 

Tags: beaverhead-county, bedrock-geologic-units, custer-county, data-services, gems, geographic-information-systems, geologic-map-schema, geologic-maps, geology, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, geospatial-datasets, gggsc, id, idaho, idaho-county, lemhi-county, mineral-resources-program, mrp, national-geologic-map-database, ngmdb, ravalli-county, salmon, structural-geology, u-s-geological-survey, usgs, usgs-5faadd3bd34eb413d5df2011, valley-county, washington-county
Organization: Department of the Interior
GIS Data for Geology of the Payette National Forest and Vicinity, West-Central Idaho

This U.S. Geological Survey (USGS) data release provides an updated digital geospatial database for the geologic map of the Payette National Forest and vicinity, west-central Idaho (Lund, 2004). Attribute tables and geospatial features (points, lines and polygons) conform to the Geologic Map Schema (USGS NCGMP, 2020) and represent the geologic map as published in USGS Professional Paper 1666. Minor errors, such as mistakes in line decoration or differences between the digital data and the map image, are corrected in this version.

The database represents the geology for the 2.3 million-acre, geologically complex Payette National Forest in two plates, at a publication scale of 1:100,000. The map covers primarily Adams, Idaho, Valley, and Washington Counties, but also includes minor parts of Gem, Custer, and Lemhi Counties. New geologic mapping was undertaken between 1991 and 2003 and synthesized with older published maps, providing significant stratigraphic and structural data, age data for intrusive rocks, and interpretations of geologic development.

References: Lund, Karen, 2004, Geology of the Payette National Forest and vicinity, west-central Idaho: U.S. Geological Survey Professional Paper 1666-A, -B, 89 p., scale 1:100,000, https://doi.org/10.3133/pp1666.

U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema) - A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://pubs.er.usgs.gov/publication/tm11B10.

Tags: adams-county, bedrock-geologic-units, custer-county, data-services, gem-county, gems, geographic-information-systems, geologic-map-schema, geologic-maps, geology, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, geospatial-datasets, gggsc, id, idaho, idaho-county, lemhi-county, mineral-resources-program, mrp, national-geologic-map-database, ngmdb, payette, structural-geology, u-s-geological-survey, usgs, usgs-5faadc89d34eb413d5df200b, valley-county, washington-county
Organization: Department of the Interior
2017 zooplankton data from Lake Huron

This data release includes zooplankton data collected with a 64-micron mesh net from 9 transects in Lake Huron between April and August 2017.  At each transect, data were collected at up to three sites, ranging in bottom depths from 18 to 82 m.  The volume sampled at each site was estimated with a flowmeter.  Micro- and macro- crustaceans were identified, enumerated, and measured using a dissecting or compound microscope. The data are in raw form.

Tags: aquatic-ecosystems, biota, community-ecology, environment, inlandwaters, population-and-community-ecology, usgs-5f7f181982ce8dca4cfaa49b, zooplankton
Organization: Department of the Interior
Integrated step selection analysis of turtle tracking data in the Florida Keys National Marine Sanctuary, 2008-2019

This dataset contains all input parameters required to perform integrated step selection analysis (iSSA) to quantify marine turtle habitat selection relative to marine protected areas throughout coastal Florida and the Gulf of Mexico. The iSSA is a flexible approach to compare the environmental attributes of observed steps (the linear segment connecting two consecutive observed positions of an animal) against a group of alternative steps taken from the same starting location. Information contained in the dataset includes original PIT (passively induced transponder, a unique identifier for each turtle), step ID, step length and log of the step length, turning angle and cosine of turning angle, start and end date time of each step, protected status of location of each step ID (unprotected, multi-use or no-take, water depth (in meters), and chlorophyll concentration (in mg/m3).

Tags: biota, dry-tortugas, florida-bay-florida-keys, gulf-of-mexico, marquesas-keys-west, sea-turtles, telemetry, tracking, usgs-5faab074d34eb413d5df1f41
Organization: Department of the Interior
Geospatial bathymetry datasets for West Branch Reservoir, New York, 2017 to 2019

From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at West Branch Reservoir during September 2017, October 2017, and October 2019. 
Depth data were collected primarily with a multibeam echosounder; additional bathymetry points were measured using an acoustic Doppler current profiler (ADCP). Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured bathymetry data with lidar elevation data surrounding the reservoirs; gaps in the combined data were estimated (for example the tops of submerged islands) or interpolated. 
Files included in this Data Release include: grids (tiff format) of reservoir bed elevation, data source, and cell data standard deviation; shapefiles of elevation contours at a 2-foot interval and of single-beam echosounder quality assurance points; and text files (comma-separated value format) of elevation-area-capacity table, measured GNSS points, water surface elevation time series (tides) used to process echosounder data, measured sound velocity profiles, and average sound velocity profiles used to process echosounder data. 
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Tags: acoustic-doppler-current-profiling, bathymetry, digital-elevation-models, elevation, geospatial-analysis, inlandwaters, land-surveying, multibeam-sonar, new-york, putnam-county, single-beam-echosounder, sound-velocity, surface-water-level, surface-water-non-marine, usgs-5fa58d9dd34ed3698f92dd29, west-branch-reservoir
Organization: Department of the Interior
Geospatial bathymetry datasets for Titicus Reservoir, New York, 2017 to 2018

From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at Titicus Reservoir during November 2017 and May 2018. 
Depth data were collected primarily with a multibeam echosounder. Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured bathymetry data with lidar elevation data surrounding the reservoirs; gaps in the combined data were estimated (for example the tops of submerged islands) or interpolated. 
Files included in this Data Release include: grids (tiff format) of reservoir bed elevation, data source, and cell data standard deviation; shapefiles of elevation contours at a 2-foot interval and of single-beam echosounder quality assurance points; and text files (comma-separated value format) of elevation-area-capacity table, measured GNSS points, water surface elevation time series (tides) used to process echosounder data, measured sound velocity profiles, and average sound velocity profiles used to process echosounder data. 
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Tags: bathymetry, digital-elevation-models, elevation, geospatial-analysis, inlandwaters, land-surveying, multibeam-sonar, new-york, single-beam-echosounder, sound-velocity, surface-water-level, surface-water-non-marine, titicus-reservoir, usgs-5fa58d8fd34ed3698f92dd27, westchester-county
Organization: Department of the Interior
Geospatial bathymetry datasets for Muscoot Reservoir, New York, 2017 to 2019

From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at Muscoot Reservoir during June 2017 and November 2019. 
Depth data were collected primarily with a multibeam echosounder. Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured bathymetry data with lidar elevation data surrounding the reservoirs; gaps in the combined data were estimated (for example the tops of submerged islands) or interpolated. 
Files included in this Data Release include: grids (tiff format) of reservoir bed elevation, data source, and cell data standard deviation; shapefiles of elevation contours at a 2-foot interval and of single-beam echosounder quality assurance points; and text files (comma-separated value format) of elevation-area-capacity table, measured GNSS points, water surface elevation time series (tides) used to process echosounder data, measured sound velocity profiles, and average sound velocity profiles used to process echosounder data. 
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Tags: bathymetry, digital-elevation-models, elevation, geospatial-analysis, inlandwaters, land-surveying, multibeam-sonar, muscoot-reservoir, new-york, single-beam-echosounder, sound-velocity, surface-water-level, surface-water-non-marine, usgs-5fa58d72d34ed3698f92dd23, westchester-county
Organization: Department of the Interior
Geospatial bathymetry datasets for Lake Gleneida, New York, 2017

From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at Lake Gleneida during May 2017. 
Depth data were collected primarily with a multibeam echosounder. Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured bathymetry data with lidar elevation data surrounding the reservoirs; gaps in the combined data were estimated (for example the tops of submerged islands) or interpolated. 
Files included in this Data Release include: grids (tiff format) of reservoir bed elevation, data source, and cell data standard deviation; shapefiles of elevation contours at a 2-foot interval and of single-beam echosounder quality assurance points; and text files (comma-separated value format) of elevation-area-capacity table, measured GNSS points, water surface elevation time series (tides) used to process echosounder data, measured sound velocity profiles, and average sound velocity profiles used to process echosounder data. 
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Tags: bathymetry, digital-elevation-models, elevation, geospatial-analysis, inlandwaters, lake-gleneida, land-surveying, multibeam-sonar, new-york, putnam-county, single-beam-echosounder, sound-velocity, surface-water-level, surface-water-non-marine, usgs-5fa58c9dd34ed3698f92dd17
Organization: Department of the Interior
Geospatial bathymetry datasets for Lake Gilead, New York, 2017

From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at Lake Gilead during May 2017. 
Depth data were collected primarily with a multibeam echosounder; additional bathymetry points were measured using an acoustic Doppler current profiler (ADCP). Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured bathymetry data with lidar elevation data surrounding the reservoirs; gaps in the combined data were estimated (for example the tops of submerged islands) or interpolated. 
Files included in this Data Release include: grids (tiff format) of reservoir bed elevation, data source, and cell data standard deviation; shapefiles of elevation contours at a 2-foot interval and of single-beam echosounder quality assurance points; and text files (comma-separated value format) of elevation-area-capacity table, measured GNSS points, water surface elevation time series (tides) used to process echosounder data, measured sound velocity profiles, and average sound velocity profiles used to process echosounder data. 
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Tags: bathymetry, digital-elevation-models, elevation, geospatial-analysis, inlandwaters, lake-gilead, land-surveying, multibeam-sonar, new-york, putnam-county, single-beam-echosounder, sound-velocity, surface-water-level, surface-water-non-marine, usgs-5fa58c91d34ed3698f92dd15
Organization: Department of the Interior
Geospatial bathymetry datasets for Kirk Lake, New York, 2017

From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at Kirk Lake during June 2017. 
Depth data were collected primarily with a multibeam echosounder. Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured bathymetry data with lidar elevation data surrounding the reservoirs; gaps in the combined data were estimated (for example the tops of submerged islands) or interpolated. 
Files included in this Data Release include: grids (tiff format) of reservoir bed elevation, data source, and cell data standard deviation; shapefiles of elevation contours at a 2-foot interval and of single-beam echosounder quality assurance points; and text files (comma-separated value format) of elevation-area-capacity table, measured GNSS points, water surface elevation time series (tides) used to process echosounder data, measured sound velocity profiles, and average sound velocity profiles used to process echosounder data. 
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Tags: bathymetry, digital-elevation-models, elevation, geospatial-analysis, inlandwaters, kirk-lake, land-surveying, multibeam-sonar, new-york, putnam-county, single-beam-echosounder, sound-velocity, surface-water-level, surface-water-non-marine, usgs-5fa58c84d34ed3698f92dd13
Organization: Department of the Interior
Geospatial bathymetry datasets for Kensico Reservoir, New York, 2018

From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at Kensico Reservoir from June to August, 2018. 
Depth data were collected primarily with a multibeam echosounder. Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured bathymetry data with lidar elevation data surrounding the reservoirs; gaps in the combined data were estimated (for example the tops of submerged islands) or interpolated. 
Files included in this Data Release include: grids (tiff format) of reservoir bed elevation, data source, and cell data standard deviation; shapefiles of elevation contours at a 2-foot interval and of single-beam echosounder quality assurance points; and text files (comma-separated value format) of elevation-area-capacity table, measured GNSS points, water surface elevation time series (tides) used to process echosounder data, measured sound velocity profiles, and average sound velocity profiles used to process echosounder data. 
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Tags: bathymetry, digital-elevation-models, elevation, geospatial-analysis, inlandwaters, kensico-reservoir, land-surveying, multibeam-sonar, new-york, single-beam-echosounder, sound-velocity, surface-water-level, surface-water-non-marine, usgs-5fa586c4d34ed3698f92dcf5, westchester-county
Organization: Department of the Interior
Geospatial bathymetry datasets for East Branch Reservoir, New York, 2018 to 2019

From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at East Branch Reservoir May 2018, June 2018, and October 2019. 
Depth data were collected primarily with a multibeam echosounder; additional bathymetry points were measured using an acoustic Doppler current profiler (ADCP). Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured bathymetry data with lidar elevation data surrounding the reservoirs; gaps in the combined data were estimated (for example the tops of submerged islands) or interpolated. 
Files included in this Data Release include: grids (tiff format) of reservoir bed elevation, data source, and cell data standard deviation; shapefiles of elevation contours at a 2-foot interval and of single-beam echosounder quality assurance points; and text files (comma-separated value format) of elevation-area-capacity table, measured GNSS points, water surface elevation time series (tides) used to process echosounder data, measured sound velocity profiles, and average sound velocity profiles used to process echosounder data. 
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Tags: acoustic-doppler-current-profiling, bathymetry, digital-elevation-models, east-branch-reservoir, elevation, geospatial-analysis, inlandwaters, land-surveying, multibeam-sonar, new-york, putnam-county, single-beam-echosounder, sound-velocity, surface-water-level, surface-water-non-marine, usgs-5fa586b5d34ed3698f92dcf3
Organization: Department of the Interior
Geospatial bathymetry datasets for Diverting Reservoir, New York, 2017

From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at Diverting Reservoir during June 2017. 
Depth data were collected primarily with a multibeam echosounder. Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured bathymetry data with lidar elevation data surrounding the reservoirs; gaps in the combined data were estimated (for example the tops of submerged islands) or interpolated. 
Files included in this Data Release include: grids (tiff format) of reservoir bed elevation, data source, and cell data standard deviation; shapefiles of elevation contours at a 2-foot interval and of single-beam echosounder quality assurance points; and text files (comma-separated value format) of elevation-area-capacity table, measured GNSS points, water surface elevation time series (tides) used to process echosounder data, measured sound velocity profiles, and average sound velocity profiles used to process echosounder data. 
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Tags: bathymetry, digital-elevation-models, diverting-reservoir, elevation, geospatial-analysis, inlandwaters, land-surveying, multibeam-sonar, new-york, putnam-county, single-beam-echosounder, sound-velocity, surface-water-level, surface-water-non-marine, usgs-5fa586a5d34ed3698f92dcf1
Organization: Department of the Interior