AndreaBozzo/ceres-open-data-index huggingface dataset:
Thermal infrared data collected at Hen Cove, Pocasset, Massachusetts, August 2022

These thermal infrared data (images and radiometric video) were collected with a FLIR T540 Thermal Camera with the following manufacturer specifications:
Resolution: 464 × 348 pixels
Spectral range: 7.5 - 14 µm
Thermal sensitivity: less than 50 mK, 14° @ 30°C (86°F)
Accuracy: ±2°C (±3.6°F) or ±2% of reading.
All temperature measurements should be interpreted as 'apparent' as the thermal parameters of the camera have been set to assumed values for water and may not apply to reflected radiation off the water surface or other types of materials such as grass and sand. For the identification of possible groundwater discharge zones, relatively cold areas during warm days are investigated further with direct measurements. These data are for demonstration purposes only.
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government

Tags: bourne-ma, buzzards-bay-ma, cape-cod, environment, farming, geophysics, geoscientific-information, groundwater, location, massachusetts, oceans, pocasset-ma, temperature, usgs-65e9cb9cd34ed433ba12ef3b
Organization: Department of the Interior
National Assessment of Oil and Gas Project - Bighorn Basin (5034) Tabular Datasets

This dataset comprises a collection of tabular data and graphical images supporting the U.S. Geological Survey's National Oil and Gas Assessment (NOGA) for Bighorn Basin (5034). The dataset includes detailed information on crude oil and natural gas production, including volumetric and descriptive data such as cumulative production, remaining reserves, and known recoverable volumes. Historical data covering field-discovery dates, well completion dates, exploration objectives, and well depths are also provided. Data sources include commercial databases along with supplemental information from various federal and state agencies. No proprietary data is included in this. The dataset is presented in multiple formats, including .pdf files for graphical images and .tab files for tabular data, encompassing eco-regional, federal land, ownership parcels, and state-wise data distributions.

Tags: energy-resources, geoscientificinformation, national-and-global-assessment-oil-and-gas, natural-gas, natural-gas-resources, oil, usgs-65eb68c6d34e14033297e0b9
Organization: Department of the Interior
Conceptual headwater stream daily heat budget scenarios under varied shading and groundwater influence

The Neversink River watershed (above the Neversink Reservoir) in the Catskill Mountains of New York, USA has been a focus of U.S. Geological Survey research for decades regarding stream geochemistry, acidification, and ecology dynamics. In 2019, the Water Mission Area Next Generation Water Observing Systems Program (NGWOS) augmented the existing stream gage network to include multiscale instrumentation aimed at characterizing various aspects of groundwater discharge to streams, including the collection of paired air and stream water temperature monitoring stations. Groundwater discharge from hillslopes and underlying aquifers acts as an important component of stream baseflow, and influences stream thermal regimes, creating characteristic signals that can be analyzed to infer baseflow generation process and resiliency. This data release contains input and output files for the spreadsheet-based stream total heat budget model HFLUX (Glose et al., 2017; Briggs et al. 2017). Various scenarios of stream discharge, shading, and groundwater inflow were developed at hourly timescales to explore the physical controls on daily air-water temperature relations. The conceptual scenarios are based on the physical and meteorological conditions of the upper Neversink Reservoir Watershed. The synthetic output data are at 60 min timestep over 5 days with 0.5 m spatial resolution along a 1D, 5 km model stream channel.
Simulated stream temperature data are contained in the ‘Output_data’ directory as detailed in the local 'README_output’ textfile. HFLUX input files for each scenario are contained in the 'Input_data' directory. There are subfolders for each scenario, which contain the Excel-based HFLUX input files along with ASCII versions of each spreadsheet input tab, as detailed in the local 'README_input' textfile. Finally, the 'HFLUX' directory contains the model executable files used for this study in .m textfile format and a PDF file describing how they are used. 
Glose, A. M., Lautz, L. K., and Baker, E. A., 2017, Stream heat budget modeling with HFLUX: Model development, evaluation, and applications across contrasting sites and seasons, Environ. Model. Softw., 92, 213–228, https://doi.org/10.1016/j.envsoft.2017.02.021
Briggs, M.A., Lane, J.W., Snyder, C.D., White, E.A., Johnson, Z.C., Nelms, D.L., Hitt, N.P., 2017c. Modeled temperature data developed for study of shallow mountain bedrock limits seepage-based headwater climate refugia, Shenandoah National Park, Virginia: U.S. Geological Survey Data Release, dx.doi.org/10.5066/F7F47M8Q

Tags: environment, geoscientificinformation, groundwater-and-surface-water-interaction, headwater-streams, hydrogeology, hydrology, inlandwaters, neversink-river, new-york, oxygen-isotope-analysis, radon, sullivan-county-ulster-county, surface-water-non-marine, usgs-65e09272d34eb64889e1ac9d, water-temperature
Organization: Department of the Interior
Repeat Lidar and Orthoimagery of Headwater Streams in the Donner und Blitzen River Basin, Oregon: Hydro-flattened Bare-Earth Elevation Rasters, June 2022

In June and September, 2022, NV5 Geospatial collected aerial imagery and near-infrared (NIR) lidar from crewed aircraft over 62 square kilometers over headwater streams in the Donner und Blitzen River watershed in southeastern  Oregon. Repeat data were collected along Mud Creek and Bridge Creek on the western slope of Steens Mountain. This data release includes orthoimagery and lidar data, including point clouds, bare-earth elevation rasters, and intensity rasters, from both June and September 2022, and a tiling index. This documentation describes the hydro-flattened bare-earth elevation rasters from the June data collection. Documentation is adapted from information provided by NV5 Geospatial to the U.S. Geological Survey.

Tags: aerial-photography, bare-earth, big-bridge-creek, bridge-creek, dem, digital-elevation-model, elevation-data, geoscientificinformation, harney-county, hydrology, imagerybasemapsearthcover, inlandwaters, lambing-creek, lidar, lidar-intensity, lidar-point-cloud, little-bridge-creek, malheur-national-wildlife-refuge, mud-creek, oregon, orthoimagery, raster, remote-sensing, steens-mountain, surface-water-non-marine, usgs-65c1450ad34ef4b119ca6648
Organization: Department of the Interior
Repeat Lidar and Orthoimagery of Headwater Streams in the Donner und Blitzen River Basin, Oregon: Orthoimagery, September 2022

In June and September, 2022, NV5 Geospatial collected aerial imagery and near-infrared (NIR) lidar from crewed aircraft over 62 square kilometers over headwater streams in the Donner und Blitzen River watershed in southeastern  Oregon. Repeat data were collected along Mud Creek and Bridge Creek on the western slope of Steens Mountain. This data release includes orthoimagery and lidar data, including point clouds, bare-earth elevation rasters, and intensity rasters, from both June and September 2022, and a tiling index. This documentation describes the orthoimagery from the September data collection. Documentation is adapted from information provided by NV5 Geospatial to the U.S. Geological Survey.

Tags: aerial-photography, big-bridge-creek, bridge-creek, geoscientificinformation, harney-county, hydrology, imagerybasemapsearthcover, inlandwaters, lambing-creek, lidar, little-bridge-creek, malheur-national-wildlife-refuge, mud-creek, orthoimagery, remote-sensing, steens-mountain, usgs-65d69627d34ec3e1801d4c0c
Organization: Department of the Interior
Abandoned Mine Land (AML) Geochemical data: Stansbury Mountains, Utah

The United States Geological Survey (USGS) collected a total of 63 samples of surficial sediment from abandoned mine wastepiles, ephemeral channels, nearby outcrops, and background areas representative of the undisturbed lithology within the Free Coinage and Third Term mining districts in the Stansbury Mountains(Krahulec, 2018). The samples were sieved to obtain the less than 177 micron fraction. Geochemical analyses were completed through a third-party contract by AGAT Laboratories. Samples were analyzed for 49 major, minor, and trace elements using Inductively Coupled Plasma-Optical Emission Spectrometry (ICP-OES) and Inductively Coupled Plasma Mass Spectrometry (ICP-MS) methods (Ag, Al, As, Ba, Be, Bi, Ca, Cd, Ce, Co, Cr, Cs, Cu, Fe, Ga, Hf, In, K, La, Li, Lu, Mg, Mn, Mo, Na, Nb, Ni, P, Pb, Rb, S, Sb, Sc, Se, Sn, Sr, Ta, Tb, Te, Th, Ti, Tl, U, V, W, Y, Yb, Zn, Zr).

Tags: abandoned-mines-and-quarries, acid-mine-drainage, aluminum, antimony, arsenic, barium, beryllium, cadmium, chromium, cobalt, contaminant-transport, copper, deseret-peak, dust, field-sampling, geochemistry, granstville, hazards, human-environmental-safety, icp-ms, icp-oes, iron, lead, manganese, mine-district, mining-claim, molybdenum, nickel, remediation, rush-valley, sediment-transport, selenium, silver, stansbury, stansbury-mountains, thallium, tooele, tooele-county, unconsolidated-deposits, uranium, usgs-65f1c938d34e1403329845a7, utah, wastepile
Organization: Department of the Interior
LEAP: Landsat Extended Acquisitions of the Poles Imaging Plan

Landsat Extended Acquisitions of the Poles (LEAP) imaging plan is a Landsat special request data collection program for Earth's polar regions that include Antarctica, Greenland, and Arctic sea ice geographies. The LEAP program includes Landsat 8 and Landsat 9 observatories that operationally acquire spaceborne images of all Earth's land surface and near-shore coastal environments. These images are acquired on a Worldwide Reference System-2, also called WRS-2. The WRS-2 is made up of paths and rows that define Landsat's imaged geography, and once acquired, are processed and discoverable in the U.S. Geological Survey's Landsat global data archive. The LEAP path-rows listed in the attached zipped data file represent image acquisitions for Antarctic, Greenland, and Arctic sea ice regions that are collected by special request during twilight conditions where the Sun's illumination angle is less than 5 degrees of elevation above the horizon.

Tags: antarctica, arctic-sea-ice, climatologymeteorologyatmosphere, cryosphere, environment, greenland, ice, imagerybasemapsearthcover, landsat, oceans, satellite-image-acquisition, snow, usgs-65ca8963d34ef4b119cb3343
Organization: Department of the Interior
Radiocarbon bulk sample descriptions for the Guanabanas road exposure of the South Lajas fault, Puerto Rico

This dataset contains sample descriptions of bulk radiocarbon samples collected from the Guanabanas road exposure of the South Lajas fault, Puerto Rico, and can be found in Table S3 of the related manuscript.

Tags: biota, quaternary-faulting, radiocarbon-sample, usgs-659c6774d34e3265ab16297c
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2021 Site 0669 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 398 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2021 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Five previous assessments have been conducted (2005, 2008, 2012, 2015/2016, and 2018). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-6569e5dcd34e6dde1a4ae166, wetland, wetland-restoration
Organization: Department of the Interior
Conceptual marsh units of Maine salt marshes

This data release contains coastal wetland synthesis products for the state of Maine. Metrics for resiliency, including the unvegetated to vegetated ratio (UVVR), marsh elevation, tidal range, and lifespan, are calculated for smaller units delineated from a digital elevation model, providing the spatial variability of physical factors that influence wetland health. The U.S. Geological Survey has been expanding national assessment of coastal change hazards and forecast products to coastal wetlands with the intent of providing federal, state, and local managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. For this purpose, the response and resilience of coastal wetlands to physical factors need to be assessed in terms of the ensuing change to their vulnerability and ecosystem services.

Tags: acadia-national-park, coastal-ecosystems, coastal-processes, environment, estuary, geospatial-datasets, inlandwaters, maine, marsh-health, oceans, salt-marsh, united-states, usgs-657b3ea5d34e952b2274bb2f, vegetation, wetland-ecosystems, wetland-functions
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2021 Site 0672 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 398 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2021 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Five previous assessments have been conducted (2005, 2008, 2012, 2015/2016, and 2018). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-6569e5dfd34e6dde1a4ae168, wetland, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2021 Site 0677 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 398 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2021 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Five previous assessments have been conducted (2005, 2008, 2012, 2015/2016, and 2018). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-6569e5e1d34e6dde1a4ae16a, wetland, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2021 Site 0680 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 398 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2021 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Five previous assessments have been conducted (2005, 2008, 2012, 2015/2016, and 2018). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-6569e5e4d34e6dde1a4ae16c, wetland, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2021 Site 0682 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 398 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2021 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Five previous assessments have been conducted (2005, 2008, 2012, 2015/2016, and 2018). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-6569e5e5d34e6dde1a4ae16e, wetland, wetland-restoration
Organization: Department of the Interior