AndreaBozzo/ceres-open-data-index huggingface dataset:
Regional scale magnetotelluric data from the Rio Grande Rift and southern Rocky Mountains, Station rgr312

This dataset consists of 102 magnetotelluric (MT) stations collected in 2012-2014 in the Rio Grande Rift and southern Rocky Mountains. The U.S. Geological Survey acquired these data to improve regional conductivity models of the western United States. This work is in support of studies of the effect of lithospheric modification on electrical resistivity structure and tectonic evolution of the western United States.

Tags: apparent-resistivity, electromagnetic-surveying, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, impedance, magnetic-field-earth, magnetotelluric, mineral-resources-program, mrp, mt, new-mexico, phase, regional-conductivity-models, rio-grande-rift, rocky-mountains, time-series, tipper, usgs-5ada0ed5e4b0e2c2dd28d365
Organization: Department of the Interior
Tsunami evacuation time map for the island of O'ahu, Hawai'i, standard tsunami evacuation zone and impaired walk speed

The travel time map was generated using the Pedestrian Evacuation Analyst model from the USGS (https://geography.wr.usgs.gov/science/vulnerability/tools.html). The travel time analysis uses ESRI's Path Distance tool to find the shortest distance across a cost surface from any point in the hazard zone to a safe zone. This cost analysis considers the direction of movement and assigns a higher cost to steeper slopes, based on a table contained within the model. The analysis also adds in the energy costs of crossing different types of land cover, assuming that less energy is expended walking along a road than walking across a sandy beach. To produce the time map, the evacuation surface output from the model is grouped into 1-minute increments for easier visualization. The times in the attribute table represent the estimated time to travel on foot to the nearest safe zone at the speed designated in the map title. The file name indicates whether the map is of the standard or extreme evacuation zone used by the City and County of Honolulu and which travel speed was used in the modelling (impaired, slow, or fast walk).
These data support the following publication: Wood, N.J., Jones, J.L., Peters, J., and Richards, K., 2018, Pedestrian-evacuation modeling to reduce vehicle use for distant tsunami evacuations in Hawai'i: International Journal of Disaster Risk Reduction, v. 28, p. 271–283, https://doi.org/10.1016/j.ijdrr.2018.03.009.

Tags: evacuation, hawaii, honolulu-county, modeling, oahu, pedestrian, tsunamis, usgs-5a8c87f9e4b00f54eb483e1d, vulnerability
Organization: Department of the Interior
Water chemistry data for samples collected at groundwater and surface-water sites near the Lost Hills and Belridge oil fields, November 2016-September 2017, Kern County, California

An investigation was done by the U.S. Geological Survey, in cooperation with the California State Water Resources Control Board's Program of Regional Groundwater Monitoring of Water Quality in Areas of Oil and Gas Production, to assess the effects of oil and gas production activities on nearby groundwater resources. During November 2016–September 2017, 30 samples were collected at groundwater wells and 1 sample was collected at a surface-water site. This dataset contains site information and water chemistry results for samples collected near the Lost Hills and North and South Belridge oil fields, Kern County, California. Samples were analyzed for water-quality indicators, major and minor ions, nutrients, trace elements, volatile organic compounds, naturally occurring radioactive material, geochemical and age-dating tracers, dissolved organic carbon, low molecular weight organic acids, dissolved standard and hydrocarbon gases, and dissolved noble and atmospheric gases. Quality-control samples including replicates; source-solution, equipment, and field blanks; laboratory spikes; and split samples for interlab comparisons were collected and summarized in this data release.

Tags: bakersfield, belridge, california, groundwater, groundwater-quality, kern, lost-hills, usgs-5a8c6277e4b00f54eb44eef7, water-chemistry, water-quality, water-sampling
Organization: Department of the Interior
Aerial thermal infrared imagery, focused groundwater discharge points, water temperature, streambed temperature, and vertical hydraulic gradient data collected along the South Loup, Dismal, and North Loup Rivers, Nebraska, 2014-16

This data release contains six zipped raster files of thermal infrared (TIR) images of the South Loup River, North Loup River, and Dismal River named as LowerSouthLoup_AerialTIRImage_1m_2015.zip, MiddleSouthLoup_AerialTIRImage_50cm_2015.zip, UpperSouthLoup_AerialTIRImage_30cm_2015.zip, LowerDismal_AerialTIRImage_1m_2016.zip, UpperDismal_AerialTIRImage_50cm_2015.zip, and NorthLoup_AerialTIRImage_1m_2016.zip.  This data release also includes a Reconn_Temperature_Gradient_X_sections.zip file which contains three ASCII comma separated values files with stream reconnaissance data which include stream temperature, streambed temperature, and vertical hydraulic gradient.  This dataset also includes a Focused_discharge_points.zip file which contains five point shapefiles of interpreted focused groundwater discharge (groundwater discharge as springs) locations along the South Loup, North Fork of the South Loup, North Loup, and Dismal Rivers in Nebraska.  The last file included in this data release is Centerline.zip which contains one line shapefile of the stream reach centerlines.  Further information about each of these datasets can be found in their associated metadata files.

Tags: blaine-county, buffalo-county, cherry-county, custer-county, dismal, groundwater-and-surface-water-interaction, hooker-county, hydrologic-processes, hydrology, image-collections, inlandwaters, logan-county, loup-county, nebraska, north-loup, remote-sensing, sherman-county, south-loup, thermal-imaging, thomas-county, usgs-5a875bace4b00f54eb3a301d, water-temperature
Organization: Department of the Interior
Electrical Resistivity Tomography Data at Fort Irwin National Training Center, San Bernardino County, California, 2015 and 2017

The U.S. Army Fort Irwin National Training Center (NTC), approximately 35 mi north-northeast of Barstow, California, covers approximately 1,177 square miles, and is comprised of ten groundwater basins, three of which have been subdivided into subbasins on the basis of additional hydrologic testing. Since the early 1990s, the U.S. Geological Survey (USGS) has been studying water resources issues at Fort Irwin. One issue of concern is the potential effect of groundwater development resulting from planned training expansion and infrastructure at the NTC on natural springs and seeps, an important water source for wildlife. In 2010, the USGS entered into cooperative agreements with the U.S. Army to complete studies of groundwater resources focusing primarily on undeveloped basins within the NTC. Electrical resistivity data were collected in 2015 and 2017 at three groups of springs in undeveloped basins in order to quantify the spatial extent of groundwater associated with each spring and to detect hydrologic change over this two year time period. In 2017, electrical resistivity data were also collected at the airstrip on Bicycle Lake (a dry lakebed) to provide insight on ground failures and data regarding the depth of the known surface cracks and macropolygon features.

Tags: bicycle-lake, california, california-water-science-center, cawsc, desert-ecosystems, electrical-resistivity-tomography, environment, fort-irwin, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, groundwater, hydrologic-processes, lakebed-characteristics, mojave, mojave-desert, resistivity, san-bernardino-county, usgs-5a8723aae4b00f54eb3a2e1c, water-resources
Organization: Department of the Interior
Regional scale magnetotelluric data from the Rio Grande Rift and southern Rocky Mountains, Station rgr015

This dataset consists of 102 magnetotelluric (MT) stations collected in 2012-2014 in the Rio Grande Rift and southern Rocky Mountains. The U.S. Geological Survey acquired these data to improve regional conductivity models of the western United States. This work is in support of studies of the effect of lithospheric modification on electrical resistivity structure and tectonic evolution of the western United States.

Tags: apparent-resistivity, colorado, electromagnetic-surveying, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, impedance, magnetic-field-earth, magnetotelluric, mineral-resources-program, mrp, mt, phase, regional-conductivity-models, rio-grande-rift, rocky-mountains, time-series, tipper, usgs-5ad9176ae4b0e2c2dd27a908
Organization: Department of the Interior
Electrical Resistivity Tomography Data at Fort Irwin National Training Center, San Bernardino County, California, 2015 and 2017

The U.S. Army Fort Irwin National Training Center (NTC), approximately 35 mi north-northeast of Barstow, California, covers approximately 1,177 square miles, and is comprised of ten groundwater basins, three of which have been subdivided into subbasins on the basis of additional hydrologic testing. Since the early 1990s, the U.S. Geological Survey (USGS) has been studying water resources issues at Fort Irwin. One issue of concern is the potential effect of groundwater development resulting from planned training expansion and infrastructure at the NTC on natural springs and seeps, an important water source for wildlife. In 2010, the USGS entered into cooperative agreements with the U.S. Army to complete studies of groundwater resources focusing primarily on undeveloped basins within the NTC. Electrical resistivity data were collected in 2015 and 2017 at three groups of springs in undeveloped basins in order to quantify the spatial extent of groundwater associated with each spring and to detect hydrologic change over this two year time period. In 2017, electrical resistivity data were also collected at the airstrip on Bicycle Lake (a dry lakebed) to provide insight on ground failures and data regarding the depth of the known surface cracks and macropolygon features.

Tags: bicycle-lake, california, california-water-science-center, cawsc, desert-ecosystems, electrical-resistivity-tomography, environment, fort-irwin, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, groundwater, hydrologic-processes, lakebed-characteristics, mojave, mojave-desert, resistivity, san-bernardino-county, usgs-5a871b0ee4b00f54eb3a2d6d, water-resources
Organization: Department of the Interior
Surveyed Positions of Transect Points Associated With Images Collected During Unmanned Aerial Systems Flights Over Town Neck Beach, in Sandwich, Massachusetts on January 9, January 25, February 14, March 16, May 4, and September 18, 2017

Low-altitude (80-100 meters above ground level) digital images of Town Neck Beach in Sandwich, Massachusetts were obtained from a camera mounted on a small unmanned aerial system (UAS; also known as a drone). Imagery was collected at close to low tide on seven days to observe changes in beach and dune morphology. The images were geolocated by using the single-frequency geographic positioning system aboard the UAS. Ground control points (GCPs) were established by using temporary targets on the ground, which were located by using a real-time kinematic global navigation satellite system (RTK-GNSS) base station and rovers. The GCPs can be used as constraints during photogrammetric processing. Transect points were collected by using the same RTK-GNSS system; these can be used to evaluate photogrammetric products. This data release includes georeferenced images, image-location files, GCPs, and transect points. Collection of these data was supported by the U.S. Geological Survey Coastal and Marine Geology Program and were conducted under USGS field activity numbers 2017-005-FA, 2017-008-FA, 2017-010-FA, 2017-014-FA, 2017-029-FA, and 2017-050-FA.

Tags: aerial-and-satellite-photography, cmgp, coastal-and-marine-geology-program, elevation, field-activity-number-2017-005-fa, field-activity-number-2017-008-fa, field-activity-number-2017-010-fa, field-activity-number-2017-014-fa, field-activity-number-2017-029-fa, field-activity-number-2017-050-fa, global-positioning-system, gnss, gps, gps-measurement, location, massachusetts, navigation, navigational-data, oceans, sandwich, town-neck-beach, u-s-geological-survey, usa, usgs, usgs-5a871acae4b00f54eb3a2d5f, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Listing of File Names and Positions of Images Collected During Unmanned Aerial Systems Flights Over Town Neck Beach, in Sandwich, Massachusetts on January 9, January 25, February 14, March 16, April 28, May 4, and September 18, 2017

Low-altitude (80-100 meters above ground level) digital images of Town Neck Beach in Sandwich, Massachusetts were obtained with a camera mounted on a small unmanned aerial system (UAS; also known as a drone). Imagery was collected at close to low tide on seven days to observe changes in beach and dune morphology. The images were geolocated by using the single-frequency geographic positioning system aboard the UAS. Ground control points (GCPs) were established by using temporary targets on the ground, which were located by using a real-time kinematic global navigation satellite system (RTK-GNSS) base station and rovers. The GCPs can be used as constraints during photogrammetric processing. Transect points were collected by using the same RTK-GNSS system; these can used to evaluate photogrammetric products. This data release includes georeferenced images, image-location files, GCPs, and transect points. Collection of these data was supported by the USGS Coastal and Marine Geology Program and were conducted under USGS field activity numbers 2017-005-FA, 2017-008-FA, 2017-010-FA, 2017-014-FA, 2017-027-FA, 2017-029-FA, and 2017-050-FA.

Tags: aerial-and-satellite-photography, cmgp, coastal-and-marine-geology-program, elevation, field-activity-number-2017-005-fa, field-activity-number-2017-008-fa, field-activity-number-2017-010-fa, field-activity-number-2017-014-fa, field-activity-number-2017-027-fa, field-activity-number-2017-029-fa, field-activity-number-2017-050-fa, global-positioning-system, gnss, gps, gps-measurement, image-locations, location, massachusetts, navigation, navigational-data, oceans, sandwich, town-neck-beach, u-s-geological-survey, usa, usgs, usgs-5a871ac8e4b00f54eb3a2d5b, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Surveyed Positions of Ground Control Points and Photos of In-Place Features Used as Ground Control Points Associated With Images Collected During Unmanned Aerial Systems Flights Over Town Neck Beach, in Sandwich, Massachusetts on January 9, January 25, February 14, March 16, April 28, May 4, and September 18, 2017 (Text Files and Photos)

Low-altitude (80-100 meters above ground level) digital images of Town Neck Beach in Sandwich, Massachusetts were obtained from a camera mounted on a small unmanned aerial system (UAS; also known as a drone). Imagery was collected at close to low tide on seven days to observe changes in beach and dune morphology. The images were geolocated by using the single-frequency geographic positioning system aboard the UAS. Ground control points (GCPs) were established by using temporary targets on the ground, which were located by using a real-time kinematic global navigation satellite system (RTK-GNSS) base station and rovers. The GCPs can be used as constraints during photogrammetric processing. Transect points were collected by using the same RTK-GNSS system; these can be used to evaluate photogrammetric products. This data release includes georeferenced images, image-location files, GCPs, and transect points. Collection of these data was supported by the U.S. Geological Survey Coastal and Marine Geology Program and were conducted under USGS field activity numbers 2017-005-FA, 2017-008-FA, 2017-010-FA, 2017-014-FA, 2017-027-FA, 2017-029-FA, and 2017-050-FA.

Tags: aerial-and-satellite-photography, cmgp, coastal-and-marine-geology-program, elevation, field-activity-number-2017-005-fa, field-activity-number-2017-008-fa, field-activity-number-2017-010-fa, field-activity-number-2017-011-fa, field-activity-number-2017-014-fa, field-activity-number-2017-027-fa, field-activity-number-2017-029-fa, field-activity-number-2017-050-fa, global-positioning-system, gnss, gps, gps-measurement, ground-control-points, location, massachusetts, navigation, navigational-data, oceans, sandwich, targets, town-neck-beach, u-s-geological-survey, usa, usgs, usgs-5a871ac6e4b00f54eb3a2d57, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
GIS shapefile: Lee County, Florida irrigated agricultural land-use for the 2018 growing season

This data set consists of a detailed digital map of the areal extent of fields and a summary of the  irrigated acreage for the 2018 growing season developed for Lee County, Florida. Selected attribute data that include crop type, irrigation system, and primary water source were collected for each irrigated field.

Tags: boundaries, crop-type, environment, farming, florida-department-of-agriculture-and-consumer-service, groundwater, irrigation-type, landuse, landuse-classification-codes, orthoimagery, south-florida-water-management-district, southwest-florida-water-management-district, surface-water, usgs-5ae1c9a1e4b0e2c2dd302889
Organization: Department of the Interior
Oregon Spotted Frog (Rana pretiosa) Monitoring at Jack Creek 2015-2017

This dataset contains information from mark-recapture and egg mass surveys conducted 2015-2017 by USGS as part of an ongoing Oregon spotted frog (Rana pretiosa) monitoring effort at Jack Creek, Klamath County, Oregon. Data consist of spotted frog counts (handled by surveyors) aggregated by date, location, life stage, and sex, as well as data on environmental conditions at the time each survey.

Tags: aquatic, aquatic-ecology, day, fall, jack-creek, klamath-county, land-surface, modern, native-species, oregon, population-dynamics, riparian, spring, summer, usgs-5a95e608e4b06990606a80d9
Organization: Department of the Interior
Geotagged Low-Altitude Aerial Imagery From Unmanned Aerial Systems Flights Over Town Neck Beach, in Sandwich, Massachusetts, on April 28, 2017

Low-altitude (80-100 meters above ground level) digital images of Town Neck Beach in Sandwich, Massachusetts, were obtained from a camera mounted on a small unmanned aerial system (UAS; also known as a drone). Imagery was collected at close to low tide to observe changes in beach and dune morphology. The images were geolocated by using the single-frequency geographic positioning system aboard the UAS. Ground control points (GCPs) were established by using temporary targets on the ground, which were located by using a real-time kinematic global navigation satellite system (RTK-GNSS) base station and rovers. The GCPs can be used as constraints during photogrammetric processing. Transect points were collected by using the same RTK-GNSS system; these can be used to evaluate photogrammetric products. This data release includes georeferenced images, image-location files, GCPs, and transect points. Collection of these data was supported by the U.S. Geological Coastal and Marine Geology Program and were conducted under USGS field activity numbers 2017-005-FA, 2017-008-FA, 2017-010-FA, 2017-014-FA, 2017-027-FA, 2017-029-FA, and 2017-050-FA.

Tags: aerial-and-satellite-photography, aerial-imagery, aerial-photography, cmgp, coastal-and-marine-geology-program, dji-phantom-4-quadcopter, fc330, field-activity-number-2017-027-fa, geoscientificinformation, geotagged-photos, image-collections, jpeg, location, low-altitude-aerial-imagery, massachusetts, oceans, photographs, photos, remote-sensing, sandwich, shoreline, shoreline-photographs, town-neck-beach, u-s-geological-survey, uas, unmanned-aerial-system, usa, usgs, usgs-5a871ac2e4b00f54eb3a2d4b, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Geotagged Low-Altitude Aerial Imagery From Unmanned Aerial Systems Flights Over Town Neck Beach, in Sandwich, Massachusetts, on March 16, 2017

Low-altitude (80-100 meters above ground level) digital images of Town Neck Beach in Sandwich, Massachusetts, were obtained from a camera mounted on a small unmanned aerial system (UAS; also known as a drone). Imagery was collected at close to low tide on to observe changes in beach and dune morphology. The images were geolocated by using the single-frequency geographic positioning system aboard the UAS. Ground control points (GCPs) were established by using temporary targets on the ground, which were located by using a real-time kinematic global navigation satellite system (RTK-GNSS) base station and rovers. The GCPs can be used as constraints during photogrammetric processing. Transect points were collected by using the same RTK-GNSS system; these can be used to evaluate photogrammetric products. This data release includes georeferenced images, image-location files, GCPs, and transect points. Collection of these data was supported by the U.S. Geological Survey Coastal and Marine Geology Program and were conducted under USGS field activity numbers 2017-005-FA, 2017-008-FA, 2017-010-FA, 2017-014-FA, 2017-027-FA, 2017-029-FA, and 2017-050-FA.

Tags: aerial-and-satellite-photography, aerial-imagery, aerial-photography, cmgp, coastal-and-marine-geology-program, dji-phantom-4-quadcopter, fc330, field-activity-number-2017-014-fa, geoscientificinformation, geotagged-photos, image-collections, jpeg, location, low-altitude-aerial-imagery, massachusetts, oceans, photographs, photos, remote-sensing, sandwich, shoreline, shoreline-photographs, town-neck-beach, u-s-geological-survey, uas, unmanned-aerial-system, usa, usgs, usgs-5a871ac1e4b00f54eb3a2d47, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Geotagged Low-Altitude Aerial Imagery From Unmanned Aerial Systems Flights Over Town Neck Beach, in Sandwich, Massachusetts, on February 14, 2017

Low-altitude (80-100 meters above ground level) digital images of Town Neck Beach in Sandwich, Massachusetts, were obtained from a camera mounted on a small unmanned aerial system (UAS; also known as a drone). Imagery was collected at close to low tide on seven days to observe changes in beach and dune morphology. The images were geolocated by using the single-frequency geographic positioning system aboard the UAS. Ground control points (GCPs) were established by using temporary targets on the ground, which were located by using a real-time kinematic global navigation satellite system (RTK-GNSS) base station and rovers. The GCPs can be used as constraints during photogrammetric processing. Transect points were collected by using the same RTK-GNSS system; these can be used to evaluate photogrammetric products. This data release includes georeferenced images, image-location files, GCPs, and transect points. Collection of these data was supported by the U.S. Geological Survey Coastal and Marine Geology Program and were conducted under USGS field activity numbers 2017-005-FA, 2017-008-FA, 2017-010-FA, 2017-014-FA, 2017-027-FA, 2017-029-FA, and 2017-050-FA.

Tags: aerial-and-satellite-photography, aerial-imagery, aerial-photography, cmgp, coastal-and-marine-geology-program, dji-phantom-4-quadcopter, fc330, field-activity-number-2017-010-fa, geoscientificinformation, geotagged-photos, image-collections, jpeg, location, low-altitude-aerial-imagery, massachusetts, oceans, photographs, photos, remote-sensing, sandwich, shoreline, shoreline-photographs, town-neck-beach, u-s-geological-survey, uas, unmanned-aerial-system, usa, usgs, usgs-5a871ac0e4b00f54eb3a2d43, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior