AndreaBozzo/ceres-open-data-index huggingface dataset:
Digital surface model (DSM) data for the Colorado River corridor in Grand Canyon National Park and Glen Canyon National Recreation Area (2013)

The 2013 Digital Surface Model (DSM) dataset consists of single band rasters at 1-meter pixel resolution that were generated to orthorectify a four band ortho imagery acquisition, and to support development of additional GIS products. Each pixel represents the elevation of the surface at that point expressed as NAD83 ellipsoid height. The DSM is a reflective surface DSM which provides elevation data on open ground (e.g. bare soil, rocks, and water), as well as aboveground terrain features including buildings, trees, and vegetation that cover otherwise open ground. The Digital Surface Model (DSM) was generated by automatic correlation of stereoscopic imagery collected from approximately 8,000 ft to 11,000 ft above mean sea level at 20-cm resolution with one Leica ADS80/82 digital multi-spectral sensor on each of two aircraft May 25, 2013 – May 30, 2013. Data were collected during a period of low steady river flow of approximately 8,000 cubic feet per second released from Glen Canyon Dam. The data are for the segment of the Colorado River corridor from Glen Canyon Dam downstream to Pearce Ferry, AZ.

Tags: adaptive-management, airborne-imagery, arizona, bright-angel-creek, change-detection, colorado-river, data-release, diamond-creek, digital-elevation-models, digital-surface-model, field-inventory-and-monitoring, glen-canyon, glen-canyon-dam, glen-canyon-national-recreation-area, grand-canyon, grand-canyon-national-park, havasu-creek, image-classification, imagerybasemapsearthcover, kanab-creek, lees-ferry, little-colorado-river, management, marble-canyon, monitoring, paria-river, remote-sensing, separation-canyon, shinumo-creek, tapeats-creek, usgs-62ab66f5d34e74f0d80eb3a8
Organization: Department of the Interior
Digital elevation model (DEM) data for the Colorado River corridor in Grand Canyon National Park and Glen Canyon National Recreation Area (2021)

The 2021 Digital Elevation Model (DEM) dataset consists of single band rasters at 1-meter pixel resolution that were generated to orthorectify four band ortho imagery acquisition, and to support development of additional GIS products. Each pixel represents the elevation of the ground surface at that point expressed as NAD83(2011) ellipsoid height. A Digital Surface Model (DSM) was generated by automatic correlation of stereoscopic imagery collected from approximately 8,000 ft to 11,000 ft above mean sea level at 20-cm resolution with one Leica ADS100 digital push-broom multi-spectral sensor on each of two aircraft May 29, 2021 – June 4, 2021. The DEM was generated by removing the aboveground features from the DSM by filtering process. Data were collected during a period of low steady river flow of approximately 8,000 cubic feet per second released from Glen Canyon Dam. The data are for the segment of the Colorado River corridor from Glen Canyon Dam downstream to Pearce Ferry, AZ.

Tags: adaptive-management, airborne-imagery, arizona, bright-angel-creek, change-detection, colorado-river, data-release, diamond-creek, digital-elevation-models, digital-surface-model, field-inventory-and-monitoring, glen-canyon, glen-canyon-dam, glen-canyon-national-recreation-area, grand-canyon, grand-canyon-national-park, havasu-creek, image-classification, imagerybasemapsearthcover, kanab-creek, lees-ferry, little-colorado-river, management, marble-canyon, monitoring, paria-river, remote-sensing, separation-canyon, shinumo-creek, tapeats-creek, usgs-62ab6770d34e74f0d80eb3af
Organization: Department of the Interior
MODFLOW-OWHM model used to simulate groundwater flow and evaluate storage in the Lucerne Valley Groundwater Basin, California

A three-dimensional groundwater flow model, MODFLOW-OWHM, was developed to provide a better understanding of the hydrogeology of the Lucerne Valley Groundwater Basin, California. The model was used to investigate the historical groundwater storage loss and subsidence associated with anthropogenic groundwater demands. The model was calibrated to 1942 through 2016 conditions. This USGS data release contains all of the input and output files for the simulation described in the associated model documentation report https://doi.org/10.3133/sir20225048

Tags: california, environment, farm-processes, geoscientificinformation, groundwater, groundwater-model, inlandwaters, lucerne-valley, lucerne-valley-groundwater-basin, modflow-owhm, pest, python, san-bernardino-county, usgs-62acf455d34e74f0d80f0700, usgsgroundwatermodel
Organization: Department of the Interior
PlanetScope and DESIS spectral library of agricultural crops in California's Central Valley for the 2020 growing season

Here we provide information for the PlanetScope and d Deutsches Zentrum fur Luft- und Raumfahrt (DLR) Earth Sensing Imaging Spectrometer (DESIS) Derived Spectral Library of Agricultural Crops in California which was developed using PlanetScope Dove-R high spatial resolution data and DESIS hyperspectral data acquired for 2020. PlanetScope images are available through Planet Labs (2022). The DESIS images used for this dataset are available through the German Aerospace Center and Teledyne Brown (2022). The crop type data and confidence layer for 2020 can be accessed through the United States Department of Agriculture National Agricultural Statistics Service (2022). The PlanetScope and DESIS Derived Spectral Library of Agricultural Crops dataset characteristics are described below, with PlanetScope and DESIS data provided in two separate CSV files.
Related Primary Publication:
Aneece, I., Foley, D., Thenkabail, P.S., Oliphant, A., and Teluguntla, P. 2022. New generation hyperspectral data from DESIS compared and contrasted with hyperspatial resolution PlanetScope data for crop type classification. DOI:  https://doi.org/10.5066/xxxxxxxx.

Tags: agriculture, biota, california, hyperspectral-imaging, remote-sensing, united-states, usgs-62ab701cd34e74f0d80eb3dd
Organization: Department of the Interior
Altitude of selected beds and inferred faults in boreholes as identified from geophysical logs at Valmont TCE Site, Luzerne County, Pennsylvania

This dataset contains altitudes of selected beds and inferred faults in boreholes within an area of interest determined by the U.S. Environmental Protection Agency (EPA) at the Valmont TCE Superfund site in Luzerne County, Pennsylvania. The selected beds correspond to sections of borehole geophysical logs with elevated natural gamma activity as described in the U.S. Geological Survey (USGS) Open-File Report 2021–1093 (Senior and others, 2021). Geophysical logs were correlated on multiple cross sections in this USGS report, which showed these geologic features and inferred faults in the subsurface. Additionally, thin coal or coaly beds were identified from borehole density logs (Senior and others, 2021). The altitudes of these geologic features where they intersect boreholes as displayed on the cross sections are provided here, as well as locational information for each borehole. Naming conventions used for beds are provided in this dataset only and are not present in Senior and others (2021), thus cross sections from Senior and others (2021) with added labels for bed identifiers are also provided.

Tags: groundwater, hydrogeology, luzerne-county, pennsylvania, usgs-62ab8ccdd34e74f0d80eb47e
Organization: Department of the Interior
Hydrogeologic Data Release for CVHM2: Well logs with Classification Information

These data encompass data classified from the borehole textures. The U.S Geological Survey (USGS) classified the Well Log Database of the Central Valley, California, 2021, into Central_Valley_Borehole_with_Lithology_Classification.csv. Lithologic log descriptions served as the basis for division into discrete binary texture classifications of either “coarse grained” or “fine grained” intervals.  Values of 1 (coarse grained), 0 (fine grained) or 2 (unknown) were determined using the table found in Central_Valley_Lithology_Classifier.csv. Percent Coarse  values for each well log were calculated at 15.24 m for the entire Central valley (Percent_Coarse_meters_wells.csv).

Tags: alameda-county, amador-county, butte-county, calaveras-county, california, central-valley, central-valley-california, colusa-county, contra-costa-county, el-dorado-county, fresno-county, glenn-county, humboldt-county, hydrogeology, kern-county, kings-county, lake-county, madera-county, mariposa-county, mendocino-county, merced-county, monterey-county, napa-county, nevada-county, placer-county, sacramento-county, sacramento-valley, san-benito-county, san-joaquin-county, san-joaquin-valley, san-luis-obispo-county, santa-barbara-county, santa-clara-county, shasta-county, solano-county, sonoma-county, stanislaus-county, sutter-county, tehama-county, trinity-county, tulare-county, tuolumne-county, usgs-62aba69fd34e74f0d80eb4ed, ventura-county, yolo-county, yuba-county
Organization: Department of the Interior
Harmonized discrete and continuous water quality data in support of modeling harmful algal blooms in the Illinois River Basin, 2005 - 2020

Harmful algal blooms (HABs) are overgrowths of algae or cyanobacteria in water and can be harmful to humans and animals directly via toxin exposure or indirectly via changes in water quality and related impacts to ecosystems services, drinking water characteristics, and recreation. While HABs occur frequently throughout the United States, the driving conditions behind them are not well understood, especially in flowing waters. In order to facilitate future model development and characterization of HABs in the Illinois River Basin, this data release publishes a synthesized and cleaned collection of HABs-related water quality and quantity data for river and stream sites in the basin. It includes nutrients, major ions, sediment, physical properties, streamflow, chlorophyll and other types of water data.
This data release contains files of harmonized data from the USGS National Water Information System (NWIS), the U.S. Army Corps of Engineers (USACE), the Illinois Environmental Protection Agency (IEPA), and a USGS Open File Report (OFR) containing toxin data in Illinois (Terrio and others, 2013: https://pubs.usgs.gov/of/2013/1019/pdf/ofr2013-1019.pdf). Both discrete data and continuous sensor data for 142 parameters (44 of which returned data) between October 1, 2015 and December 31, 2022 were downloaded from NWIS programmatically. All data were harmonized into a shared format (see files named data_{parameter_group}_combined.csv). The USGS NWIS data went through additional cleaning and were also grouped by generic parameters (see pcode_group_xwalk.csv to see what parameter codes are mapped to which generic parameters). Any data not from USGS NWIS were kept outside of the parameter grouping files. Additional streamflow data for select locations was retrieved from the USACE and are available in data_usace_00060_combined.csv. Additional algal toxin data provided by the IEPA and in a USGS OFR report (Terrio and others, 2013), which include some lake sites, are available in data_algaltoxins_combined.csv. We also provide collapsed datasets of daily metrics for each water quality (“generic parameter”) group of USGS NWIS data (files named daily_metrics_{parameter_group}.csv). Lastly, we include a site_metadata.csv containing site identification and location information for all sites with water quality and quantity data, and mappings to the National Hydrography Dataset flowlines where available.
This work was completed as part of the USGS Proxies Project, an effort supported by the Water Mission Area (WMA) Water Quality Processes program to develop estimation methods for PFAS, harmful algal blooms, and metals, at multiple spatial and temporal scales.

Tags: algal-blooms, data-integration, environment, health, illinois, illinois-river-basin, indiana, inlandwaters, usgs-62abf202d34e74f0d80eb611, water-quality, water-resources, wisconsin
Organization: Department of the Interior
Fisheries Surveys and Management Planning in the St. Clair - Detroit River System and Western Basin of Lake Erie, 1971 - 2021

These data include goals, objectives, and performance measures from management plans and monitoring surveys related to fisheries management in the St. Clair-Detroit River System and the Western Basin of Lake Erie. Researchers extracted these data from existing management plans identified from on-line grey literature searches and discussions with collaborators and regional fisheries management personnel

Tags: adaptive-management, biota, ecosystem-monitoring, environment, fishery-resources, great-lakes, inlandwaters, invasive-species, lake-erie, lake-st-clair, long-term-ecological-monitoring, usgs-62ac68d3d34e74f0d80f055a, western-lake-erie
Organization: Department of the Interior
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2022 (ver 5.0, June 2022)

These datasets provide early estimates of 2022 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a bi-weekly basis from May to early July. The EAG estimates are developed within one week of the latest satellite observation used for that version. Each bi-weekly release contains four fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) medusahead (Taeniatherum caput-medusae); and 4) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized Landsat and Sentinel-2 (HLS) based Normalized Difference Vegetation Index (NDVI); HLS-based Normalized Difference Water Index (NDWI); other relevant environmental, vegetation, remotely sensed, and geophysical drivers; and artificial intelligence/machine learning techniques. A total of 19,415 AIM plots from years 2016 – 2021 were used to train an ensemble of five-fold regression-tree models using a cross-validation approach (each observation was used as test data once) that developed all the fractional cover maps. The geographic coverage includes arid and semi-arid rangelands in the western U.S at or below 2350-m elevation.
Note: Maps of May 6th, 2022 were developed using satellite observation data no later than April 29.
Maps of May 18th, 2022 were developed using satellite observation data no later than May 13.
Maps of June 3rd, 2022 were developed using satellite observation data no later than May 27.
Maps of June 15th, 2022 were developed using satellite observation data no later than June 11.
First release: 2022
Revised: May 17, 2022 (ver. 2.0)
Revised: May 25, 2022 (ver. 3.0)
Revised: June 03, 2022 (ver. 4.0)
Revised: June 15, 2022 (ver. 5.0)

Tags: annual-grass, annual-herbaceous, arizona, california, cheatgrass, colorado, exotic, great-basin, harmonized-landsat-sentinel, idaho, invasive-species, kansas, medusahead, montana, ndvi, nebraska, nevada, new-mexico, nonindigenous-species, north-dakota, noxious, oklahoma, oregon, perennial-grass, poa-secunda, red-brome, remote-sensing, rye-brome, sagebrush, soft-brome, south-dakota, texas, texas-brome, united-states, usgs-62acb16bd34e74f0d80f0608, utah, washington, western-united-states, wyoming
Organization: Department of the Interior
Mercury Concentrations and Loads in United States and Canadian Tributaries of Lake Superior

In 2021, the U.S. Geological Survey (USGS) Mercury Research Laboratory (MRL) conducted a large-scale assessment of mercury (Hg) concentrations and Hg stable isotope values in tributaries of Lake Superior in order to define the sources and amounts of Hg entering the lake. Water samples were collected monthly from 18 tributaries in the United States  from April through October in 2021 and during 2022 spring melt (May 2022). As a complement, 10 tributaries on the Lake Superior Northshore were sampled three times a year (spring, summer, and fall) by Lakehead University and Lakehead Region Conservation Authority. Nine tributaries were also sampled twice per year (spring and summer) in Pukaskwa National Park by Parks Canada. Filtered total Hg (THg) concentrations from United States and Canadian Northshore ranged from 0.2 to 8.8 nanograms per liter (ng L-1), with a median value of 1.2 ng L-1. Unfiltered THg in Pukaskwa National Park ranged from 0.6 to 5.0 ng L-1 with a median of 3.2 ng L-1, but encompassed both the filtered and particulate bound Hg. Median methylmercury (MeHg) values were approximately 0.1 ng L-1 for both filtered and unfiltered waters, but could reach levels greater than 1 ng L-1 during higher flow events. THg and MeHg concentrations were positively correlated to dissolved organic carbon (DOC) concentrations for most tributaries. Hg loads to Lake Superior were calculated for U.S. tributaries using the R package loadflex ( http://dx.doi.org/10.1890/ES14-00517.1 ), median loads for THg were 18 grams per day, but could increase to 590 grams per day under high flow and snow melt conditions.

Tags: freshwater-ecosystems, great-lakes, isotope-geochemistry, mercury-analysis, mercury-contamination, river-systems, southern-lake-superior-lake-superior, usgs-62b0cce4d34e74f0d80f109e
Organization: Department of the Interior
Digital subsurface data from previously published maps of the base and thickness of post-Eocene continental deposits in the Sacramento Valley, California

Post-Eocene (predominantly Pliocene) continental sedimentary rocks of the Sacramento Valley, CA are up to 1,200 m thick beneath the valley. These rocks contain most of the fresh ground water in the valley, forming a key component of the total water budget for the valley. A 1974 study by the U.S. Geological Survey was an early attempt to develop detailed knowledge of the subsurface geology of the Sacramento Valley. The study delineated the configuration of the base post-Eocene continental sedimentary rocks of the Sacramento Valley and mapped the thickness of those deposits.
This digital dataset contains spatial datasets corresponding to the contoured base and thickness of the post-Eocene continental sedimentary rocks as mapped by the U.S. Geological Survey's study of the Sacramento Valley. The structure contour and thickness maps were digitized and attributed as GIS data sets so that these data could be used in digital form as part of U.S. Geological Survey and other studies of the basin.

Tags: california, central-valley-aquifer-system, elevation, geologic-structure, inlandwaters, sacramento, structure-contours, tehama-formation, tuscan-formation, usgs-62b0daabd34e74f0d80f10a3
Organization: Department of the Interior
Stratigraphic and fault surfaces from the Three–Dimensional Geologic Map of the southeastern Gabbs Valley Geothermal Area

This digital dataset represents the 3D fault and stratigraphic surfaces of the three dimensional geologic map of the southeastern Gabbs Valley, Nevada. The data define the easting, northing (meters, NAD83 Zone 11N), and elevations (meters, NAVD88) of points that define the top contacts of stratigraphic units and fault surfaces.

Tags: fault, gabbs-valley, geoscientificinformation, geothermal, great-basin, hydrothermal, stratigraphy, usgs-62b21845d34e74f0d80f17aa
Organization: Department of the Interior
Prototype updated principal aquifer datasets for three aquifer systems in the Upper Midwest, USA

This geospatial dataset represents a prototype of a finer-scale representation of the principal aquifers of the United States, using four original principal aquifers in the Upper Midwest, United States, which were re-analyzed and condensed into three updated principal aquifers.  The original principal aquifer definitions and extents were published in the Ground Water Atlas of the United States at a scale of 1:5,000,000.  The updated version in this dataset are based on a reinterpretation of the original definitions using geologic data from the U.S. Geological Survey (USGS) State Geologic Map Compilation (v 1.1, 2017), which contains published state data at scales from 1:50,000 to 1:1,000,000.  This shapefile includes fields describing the original principal aquifer definitions and data links as well as ages, major and minor lithologies, and source data for the updated aquifer unit polygons. A detailed description of the process followed to evaluate the old definitions of the principal aquifers in the Ground Water Atlas of the United States in the context of the State Geologic Map compilation datasets can be found in the related primary publication.

Tags: aquifer, aquifer-extent, aquifers, geoscientificinformation, groundwater, illinois, iowa, michigan, midwest, minnesota, missouri, united-states, usgs-62b3140fd34ea7748d9af042, wisconsin
Organization: Department of the Interior
Nearshore water temperature survey of the unwalled western shoreline of Operable Unit B - Terrestrial of the Bremerton Naval Complex, Sinclair Inlet, Washington, August 18, 2020

Thermal surveys were conducted along the western unwalled shoreline of the BNC to identify cold-water locations where groundwater, potentially containing elevated levels of metals and other toxic contaminants, may be discharging to Sinclair Inlet.

Tags: environment, marine-nearshore, usgs-62bf2ddbd34e82c548ced8fd, water-temperature
Organization: Department of the Interior
Spatial Data Layers for Selected Stream Crossing Sites in the Squannacook River Basin, North-Central Massachusetts

Spatial data layers of stream crossing point locations, cross-section polyline, centerline polyline, and bank polyline shapefiles have been developed for selected stream crossings in the Squannacook River basin, Massachusetts. The spatial data and calculated attribute values are model input data for U.S. Army Corps of Engineer’s Hydrologic Engineering Center’s River Analysis System (HEC-RAS) hydraulic models. The stream crossing point locations were derived from the North Atlantic Aquatic Connectivity Collaboration (NAACC) database. The stream channel cross-sections, centerlines, and bank polylines were derived using automated methods in a Geographic Information System (GIS) using ArcGIS Pro and Python programming language. The polyline shapefiles are Z-enabled and have elevation data derived from Light Detection and Ranging (lidar) Digital Elevation Models (DEM) for Z-coordinate vertex values in units of feet. The polyline shapefiles are also M-enabled and have profile stationing values for the M-coordinate vertex values in units of feet. The automated GIS processes delineated a series of stream channel cross-sections along lidar-derived stream centerlines and have stream channel bathymetry estimated from Massachusetts bankfull channel geometry equations (Bent and Waite, 2013). The bankfull equations were also used to derive stream bank polylines.
This data release contains the following shapefiles in the Spatial_Data_Layers.zip file:
1. Stream_Crossing_Locations.shp - Esri point shapefile derived from the NAACC stream crossing database.
2. Stream_Crossing_Watersheds.shp - Esri polygon shapefile of lidar-derived watershed boundaries that estimate the upstream drainage area for each stream crossing location.
3. Model_Cross_Sections.shp - Esri Z- and M-enabled polyline shapefile of the cross-section data used for hydraulic model input.
4. Model_Flowpaths.shp - Esri Z- and M-enabled polyline shapefile of the stream centerline and stream bank line data used for hydraulic model input.  
References:
Bent, G.C., and Waite, A.M., 2013, Equations for estimating bankfull channel geometry and discharge for streams in Massachusetts: U.S. Geological Survey Scientific Investigations Report 2013–5155, 62 p., http://dx.doi.org/10.3133/sir20135155

Tags: mathematical-modeling, streamflow, usgs-62b31849d34ea7748d9af06e, watershed-management
Organization: Department of the Interior