AndreaBozzo/ceres-open-data-index huggingface dataset:
Thermal Infrared Airborne Imagery and Longitudinal Profiles of Stream Temperatures, Hat Creek, California, August 2018

This dataset includes georeferenced high-resolution, airborne thermal infrared (TIR) imagery, a polyline shapefile of the channel centerline, and a tabular file with longitudinal stream temperature profiles for Hat Creek, California. The two aerial TIR surveys were conducted with a helicopter by NV5 Geospatial (formerly Quantum Spatial, Inc.) and are published as two raster mosaics in GeoTiff format with a resolution of 0.5 m. The TIR mosaics and longitudinal stream temperature profiles contain corrected surface temperatures in degrees C (multiplied by 10 to create an unsigned integer pixel type). The TIR dataset encompasses a 64.6-km reach of Hat Creek that extends from 50 m upstream of the confluence with Lost Creek to 50 m downstream of the confluence with the Pit River. The TIR surveys were collected during the afternoon of August 24, 2018, and the morning of August 25, 2018. The two TIR surveys were calibrated using continuous temperature loggers deployed at 12 in-stream locations distributed longitudinally throughout the survey area. A channel centerline was manually digitized within a geographic information system (GIS), and stream temperatures for longitudinal profiles were automatically sampled along the channel centerline from the TIR imagery. Sampled temperatures for the longitudinal profiles were manually filtered to remove measurements of non-water surfaces. The stream temperatures were plotted against channel distance upstream from the mouth of Hat Creek to create longitudinal stream temperature profiles, which were used to interpret groundwater discharge patterns.

Tags: boundaries, california, ecology, groundwater-and-surface-water-interaction, hat-creek, hydrological-processes, hydrology, lassen-county, remote-sensing, springs, stream-temperature, thermal-infrared, usgs-5f5fd56682ce3550e3bff46d, water-quality, water-resources
Organization: Department of the Interior
Time-lapse color photography of Milford Lake, Kansas, June through November 2017 and June through November 2018

This U.S. Geological Survey (USGS) Data Release provides time-lapse color photography collected from three sites at Milford Lake, Kansas, during June through November 2017 and June through November 2018. Photographic images are displayed using a .mp4 common multimedia format. Time-lapse cameras were used to visually capture cyanobacterial accumulations and movement throughout Milford Lake, Kansas, at five-minute intervals (South Causeway Camera and Fort Riley Marina Camera) and at fifteen-minute intervals (Wakefield Camera). This dataset includes time-lapse photography collected at three short-term, fixed-site locations as part of a study to evaluate the temporal and spatial variability of nutrients and algal constituents in Milford Lake, Kansas.

Tags: algae, cyanobacteria, cyanobacterial-accumulation, cyanobacterial-movement, harmful-algal-bloom, kansas, milford-lake, milford-lake-ks-fort-riley-marina-camera, milford-lake-ks-south-causeway-camera, milford-lake-near-wakefield-ks, photography, time-lapse, united-states, usgs-5f5fede882ce3550e3bff4d5, usgs-station-id-391235096573800, usgs-station-id-391259097001000, usgs-station-id-391259097001800
Organization: Department of the Interior
Calaveras Reservoir, California, bathymetric digital elevation model (DEM), NAVD88 (2019)

Dataset contains a digital elevation model (DEM) of reservoir bathymetry and shoreline topography up to the dam crest elevation for the Calaveras Reservoir, located in Santa Clara and Alameda counties, California. Multibeam sonar, terrestrial lidar, and small uncrewed aircraft systems (sUAS) data were collected using methodology described in detail in a previous report of a similar reservoir survey project for the cooperator at a separate reservoir: 
Marineau, M.D., Wright, S.A, and Lopez, J.V., 2020, Storage capacity and sedimentation characteristics of the San Antonio Reservoir, California, 2018: U.S. Geological Survey Scientific Investigations Report 2019–5151, 34 p., https://doi.org/10.3133/sir20195151
The multibeam and sUAS datasets were combined with 2020 lidar data from the United States Geological Survey 3D Elevation Program (USGS 3DEP) to create the final DEM. Areas outside of the dam crest elevation contour were removed. Data is presented in GRID raster file formats.

Tags: alameda-county-california, bathymetry, calaveras-county-california, calaveras-reservoir, inlandwaters, new-calaveras-dam, reservoir, usgs-5f5ffad282ce3550e3bff557
Organization: Department of the Interior
Calaveras Reservoir, California, Stage-area and Stage-volume tables (2019)

Dataset contains a comma delimited (csv) file reservoir stage-area and stage-volume tables. Stage is provided in elevation (in ft NAVD88) in the first column in 0.1 ft increments. Reservoir surface area is in acres and volume in acre-feet at each of those 0.1 foot increments.

Tags: alameda-county-california, calaveras-reservoir, inlandwaters, new-calaveras-dam, reservoir, santa-clara-county-california, stage-area, stage-capacity, usgs-5f5ffb5e82ce3550e3bff55b
Organization: Department of the Interior
Compilation of multi-agency water temperature observations for U.S. streams, 1894-2022

This data release collates stream water temperature observations from across the United States from four data sources:  The U.S. Geological Survey's National Water Information System (NWIS),  Water Quality Portal (WQP),  Spatial Hydro-Ecological Decision Systems temperature database (EcoSHEDS), and the U.S. Fish and Wildlife's NorWeST stream temperature database.  These data were compiled for use in broad scale water temperature models. Observations are included from the contiguous continental US, as well as Alaska, Hawaii, and territories. Temperature monitoring sites were paired to stream segments from the Geospatial Fabric for the National Hydrologic Model. Continuous and discrete data were reduced to daily mean, minimum, and maximum temperatures when more than one measurement was made per site-day. Various quality control checks were conducted including inspecting and converting units, eliminating some duplicate entries, interpreting flags and removing low quality observations, fixing date issues from the WQP, and filtering to expected water temperature ranges. However, we expect data quality issues persist and users should conduct further data quality checks that match the intended use of the data. 
This data release contains four core files:
- site_metadata.csv contains information about each site at which water temperature observations are reported in this dataset.
- national_stream_temp_code.zip contains the R code used to derive the data in this data release. 
- daily_stream_temperature.zip is a compressed comma separated file of observed water temperatures. 
- spatial.zip contains the geographic information about each site at which water temperature observations are reported in this dataset.

Tags: ak, al, alabama, alaska, ar, arizona, arkansas, az, ca, california, co, colorado, connecticut, ct, dc, de, delaware, district-of-columbia, environment, fl, florida, ga, georgia, hawaii, hi, ia, id, idaho, il, illinois, in, indiana, inlandwaters, iowa, kansas, kentucky, ks, ky, la, louisiana, ma, maine, maryland, massachusetts, md, me, mi, michigan, minnesota, mississippi, missouri, mn, mo, montana, ms, mt, nc, nd, ne, nebraska, nevada, new-hampshire, new-jersey, new-mexico, new-york, nh, nj, nm, north-carolina, north-dakota, nv, ny, oh, ohio, ok, oklahoma, or, oregon, pa, pennsylvania, pr, puerto-rico, rhode-island, ri, rivers, sc, sd, south-carolina, south-dakota, streams, temperature, tennessee, texas, tn, tx, united-states, us, usgs-5f60d95e82ce3550e3c23133, ut, utah, va, vermont, virginia, vt, wa, washington, water, water-resources, west-virginia, wi, wisconsin, wv, wy, wyoming
Organization: Department of the Interior
Bed material transport data in the upper Esopus Creek watershed, Ulster and Greene Counties, NY, 2017-2020

The U.S. Geological Survey, in cooperation with Ashokan Watershed Stream Management Program, investigated the feasibility of bedload monitoring in the upper Esopus Creek watershed, Ulster and Greene Counties, New York (NY), from 2017 to 2020. Traditional bedload samples were collected at two locations: Birch Creek at Big Indian, NY, and Stony Clove at Jansen Rd at Lanesville, NY. Active and passive tracers were used at Stony Clove at Jansen Rd at Lanesville, NY, to measure bed material displacement associated with storm runoff.

Tags: birch-creek, catskill-mountains, esopus-creek, hydrology, sediment-transport, stony-clove-creek, usgs-5f60e2f982ce3550e3c23474
Organization: Department of the Interior
Mapping of 101 agricultural pesticides annually for 2013-2017 for the conterminous United States

This dataset consists of a series of 1-kilometer rasters which provide a mapping of the estimated use of 101 agricultural pesticide compounds for the conterminous United States.  Each compound is mapped annually for the years 2013 through 2017, thus there are 505 rasters posted (101 compounds x 5 years).  The datasets were created by taking previously-published county-level estimates of kilograms of agricultural pesticide use, then allocating them to agricultural pixels from the 2016 National Land Cover Database, aggregated to 1-kilometer spatial resolution.

Tags: agriculture, conterminous-u-s, dasymetric-mapping, inlandwaters, land-use, national-land-cover-database, pesticides, united-states, usgs-5f611d1882ce3550e3c23c82
Organization: Department of the Interior
Greater Sage-grouse Nest Survival, Nevada and California 2019

Map of cumulative 38-day nest survival predicted from a Bayesian hierarchical shared frailty model of sage-grouse nest fates. The midpoint of coefficient conditional posterior distributions of 38-day nest survival were used for prediction at each 30 meter pixel across the landscape.

Tags: biota, california, environment, geospatial-analysis, great-basin, habitat-alteration, maladaptive-habitat-selection, nest-survival, nevada, source-sink, usgs-5f61506b82ce38aaa2359b24, western-u-s
Organization: Department of the Interior
Structure-from-Motion point clouds from Miami Park surveys, MI, 2019

Structure-from-Motion (SfM) point clouds were created from images collected using an unmanned aerial system over the bluffs of the eastern shore of Lake Michigan in Miami Park rural residential area. Images were collected in four separate instances on July 9, August 10, September 1, and October 18, 2019 and cover similar extent. The images were collected in jpg format and include Exif metadata with GPS date, time, and latitude and longitude, copyright, keywords, and other fields. Point clouds were created from the collected images using SfM photogrammetric software.

Tags: allegan-county, digital-elevation-model, elevation, geology-minerals-energy-and-geophysics-science-center, geospatial-datasets, gmeg, landslides, mgs, miami-park, michigan-geological-survey, national-cooperative-geologic-mapping-program, ncgmp, remote-sensing, state-of-michigan, u-s-geological-survey, university-of-toledo, usgs, usgs-5f62313482ce38aaa2360cac, ut
Organization: Department of the Interior
Non-Point Source Water-Use Data for Selected Counties in and near the Permian Basin, Texas. 2000 to 2018.

This part of the data release contains the water-use withdrawal data in the Permian Basin in Texas aggregated by county for the categories of irrigation, livestock, mining, and domestic.
These digital data accompany Valder, J.F., McShane, R.R., Thamke, J.N., McDowell, J.S., Ball, G.P, Houston, N.A., and Galanter, A.E., Estimates of Water Use Associated with Continuous Oil and Gas Development in the Permian Basin, Texas and New Mexico, 1980–2019, https://doi.org/10.3133/sir20215090.

Tags: environment, usgs-5f62830882ce38aaa236361c
Organization: Department of the Interior
New Mexican Oil and Gas Well Data in the Permian Basin, New Mexico, 2011-2019. Derived from New Mexico Oil Conservation Division (NMOCD) and FracFocus data.

The New Mexico Oil Conservation Division maintains information on oil and gas wells. However, no information regarding the water usage associated with hydraulic fracturing is reported and maintained. This dataset is the result of combining well information from the NMOCD and water volume information from the FracFocus dataset. Hydraulic fracturing for each well was assumed to correlate to the NMOCD well construction finished date. The water volume assigned for hydraulic fracturing of NMOCD wells was obtained by averaging FracFocus wells by county and year and assigning those values to the NMOCD wells based on year the well was completed and county the well is located.

Tags: economy, state-of-new-mexico, state-of-texas, usgs-5f628e8682ce38aaa236502e
Organization: Department of the Interior
Permitted Water Rights in the Permian Basin, New Mexico. Derived from the New Mexico Office of the State Engineer (NM OSE) Water Rights Data.

The NM OSE permitted water rights data along with associated geospatial vector files delineating water right point source location. This dataset is derived from the NM OSE geospatial vector file and retains permitted water rights within the Permian Basin, New Mexico potentially associated with direct, indirect, and ancillary continuous oil and gas water usage.

Tags: economy, usgs-5f62902a82ce38aaa23653bb
Organization: Department of the Interior
PRISM Yearly Mean Air Temperature and Precipitation for Select Counties in New Mexico and Texas, 1981 - 2019.

Monthly PRISM datasets covering the conterminous U.S., from 1981-2019  were used to calculate yearly average air temperature and spatially averaged yearly precipitation  for selected counties in and near the Permian Basin. Distribution of the measurements was accomplished using the PRISM, developed and applied by Dr. Christopher Daly of the PRISM Climate Group at Oregon State University. The aggregated data was used to display and/or analyze spatially distributed yearly average air temperature and spatially averaged yearly  precipitation for select counties in and near the Permian Basin from 1981-2019.

Tags: air-temperature, new-mexico, precipitation, texas, usgs-5f62938382ce38aaa2365ba2
Organization: Department of the Interior
Californian crop pests, pesticide applications, and phylogenetic information of crops

Information on pesticide applications, crop pests, and phylogenetic affinities between Californian crops and regional native plants were compiled.  Data was collected to inform models of pesticide applications and host use of pests among California's 93 major crops.  Pesticide data was assembled from California Department of Pesticide Regulation records, pest information was assembled from the California Integrated Pest Management database, and phylogenetic affinities were based on a supertree of plants in the Jepson Manual assembled based on the Zanne et al 2014 mega-phylogeny of seed plants.

Tags: agricultural-ecology, biota, enemy-release, herbivory, host-range-expansion, phylogenetic-escape, usgs-5f62942382ce38aaa2365cb0
Organization: Department of the Interior
U.S. Census Bureau (USCB) County Population Estimates, Texas, New Mexico 1980-2019

The Census Bureau's Population Estimates Program produces July 1 estimates for years after the last published decennial census, as well as for past decades. This dataset includes population estimates by county in Texas and New Mexico for the years 1980-2019.

Tags: county-or-equivalent-entity, decennial-census, estimates, population, state-of-new-mexico, state-of-texas, usgs-5f62948182ce38aaa2365d2b
Organization: Department of the Interior
USGS Gulf Coast Source Rock Database (ver. 2.0, October 2023)

The USGS Gulf Coast Source Rock Database (GCSRD) is an online repository for all publicly available source rock data (outcrop and subsurface) from the states of Florida, Georgia, Alabama, Mississippi, Louisiana, Arkansas, and Texas. "Source rock data" are defined in this context as data that include any of the following measured or calculated parameters: 
-total organic carbon (TOC), 
-various pyrolysis measurements (Tmax, S1, S2, S3, HI, OI), 
-vitrinite or bitumen reflectance values.
All data in the GCSRD have been extracted from previously published peer-reviewed literature or as USGS-released data sets; no new measurements are included. The underlying data set is presented as an interactive, map-view application where the user can filter by state, original publication, data type, age, or formation, which can be displayed and exported as needed.
This release updates the initial (2021) GCSRD by adding 697 new entries to the initial data set.

Tags: alabama, austin-chalk, bossier-shale, cenozoic, cenozoic-era, core-analysis, cotton-valley-shale, cretaceous, eagle-ford-group, earth-sciences, energy-resources, geology, jurassic, louisiana, mesozoic, mesozoic-era, mississippi, natural-gas-resources, natural-resource-exploration, natural-resource-extraction, natural-resources, neogene, oil-resources, paleogene, sedimentology, smackover-formation, texas, tuscaloosa-formation, usgs-5f63ad9182ce38aaa23b0340, wilcox-group
Organization: Department of the Interior
Data acquired in laboratory experiments conducted with the crustacean Daphnia magna to characterize Ag bioaccumulation kinetics after exposures to AgNO3 or Ag nanoparticles, 2019-2021

Silver nanoparticles (AgNP) are one type of contaminant that can enter treatment wetlands (Wiesner 2006) and impact the overall treatment efficacy. Grazing by filter feeding zooplankton, such as Daphnia magna, is critical to treatment wetland functioning (Ismail 2019), but the effects of AgNP on zooplankton are not fully understood, especially at environmentally relevant concentrations. In this study, the bioaccumulation kinetics of dissolved and nanoparticulate Ag in D. magna exposed to environmentally relevant Ag concentrations were characterized using isotopically labelled Ag as a tracer.  
References:  
Wiesner MR, Lowry GV, Alvarez P, Dionysiou D, Biswas P. 2006. Assessing the Risks of Manufactured Nanomaterials. Environmental Science &amp; Technology 40:4336-4345. 
Ismail NS, Blokker BM, Feeney TR, Kohn RH, Liu J, Nelson VE, Ollive MC, Price SBL, Underdah EJ. 2019. Impact of Metazooplankton Filter Feeding on Escherichia coli under Variable Environmental Conditions. Applied and Environmental Microbiology 85: e02006-02019.

Tags: bioaccumulation, environment, laboratory-experiments, menlo-park, modeling, silver, smith-college, usgs-5f629da982ce38aaa2366d6a
Organization: Department of the Interior
Episodic Master Recession Model Output used for Recharge Estimation in a Rain Garden on Sandy Soil, Gary, Indiana, 2016-18

A rain garden and other stormwater control measures (SCM) were installed at Gary City Hall in Gary, Indiana to retain water, increase infiltration and divert stormwater from city sewers. Input data were collected from a rain gage and five monitoring wells with installed pressure transducers at different locations (BFPK, CH1, CH2, CH3, GWPK; see site description). The Episodic Master Recession or EMR  method (Heppner and Nimmo, 2005) is applied using these data as the singular input to estimate the amount of groundwater recharge at each of the five sites during the indicated period of time.
References cited:
Heppner, C.S., and Nimmo, J.R., 2005, A computer program for predicting recharge with a master recession curve: U.S. Geological Survey Scientific Investigations Report 2005–5172, 10 p., [Also available at https://pubs.usgs.gov/sir/2005/5172/].
Nimmo, J.R., Horowitz, C., and Mitchell, L., 2015, Discrete-storm water-table fluctuation method to estimate episodic recharge: Groundwater, v.53, no. 2, https://doi.org/10.1111/gwat.12177.
Lampe, D.C., Bayless, E.R., and Follette, D.D., 2022, Stormwater reduction and water budget for a rain garden on sandy soil, Gary, Indiana, 2016–18: U.S. Geological Survey Scientific Investigations Report 2022–5101, 39 p., https://doi.org/10.3133/sir20225101.

Tags: biota, conterminous-u-s, episodic-master-recession-emr, gary-indiana, green-infrastructure, rain-garden, recharge, united-states, usgs-5f6350d782ce38aaa238eca3
Organization: Department of the Interior
Contiguous U.S. annual snow persistence and trends from 2001-2020

Snow persistence (SP) or the snow cover index (SCI), is the fraction of time that snow is present on the ground for a defined period. Cloud covered index (CCI) is the fraction of time that there is no data, cloud, or sensor saturation for the same period. SP and CCI were calculated on a pixel by pixel basis using MODIS/Terra Snow Cover 8-Day L3 Global 500m Grid, Collection 6 obtained from the National Snow and Ice Data Center (NSIDC). January 1 – July 3 SP was calculated for each year as the fraction of 8-day MODIS images with snow present. The selected period brackets the temporal extent of peak snow accumulation to complete snow ablation in most parts of the western United States. The July 3 date is used because the 8-day MODIS image does not fall on the first of the month in this case. This data release contains gridded 500 m MODIS snow persistence for years 2001 to 2020 along with accompanying pixel by pixel trends for the entire contiguous U.S.

Tags: biota, conterminous-u-s, contiguous-u-s, modis, snow, snow-covered-area, snow-persistence, united-states, usgs-5f63790982ce38aaa23a3930
Organization: Department of the Interior
Flood Video Files for Bridge Camera (Station 1), Chalk Cliffs, Colorado, USA, 2017

Chalk Cliffs, located 8 miles southwest of Buena Vista, Colorado, is one of the most active debris-flow areas in the state (U.S. Geological Survey). This "Child item" page includes videos of floods captured by one of the high-definition cameras at the monitoring site in Chalk Cliffs, CO. This camera (Bridge Camera) is located at Station 1 which is at the  bridge cross section at the channel. The attached figure "station_and_camera_locations.png" provides an overview figure with the location of the four cameras and three stations along the channel.   
Video recording for all cameras is triggered using a rainfall threshold (Michel et al., 2019). The complete videos for all the cameras are downloaded manually during site visits.  More detailed information about the cameras and settings used can be found in the metadata file under "Process steps" in "Data quality information." 
During 2017, several floods were captured by the 'Bridge Camera'. The videos for all floods captured by this camera along with the dates they were captured can be found in the attached zip folders.  
The following citations relate to reports that provide background information for this data release: 
Michel, A., Kean, J.W., Smith, J.B., Allstadt, K.E., Coe, J.A. (2019). Taking the pulse of debris flows: Extracting debris-flow dynamics from good vibrations in southern California and central Colorado. Debris-flow hazards mitigation: Mechanics, Monitoring, Modeling, and Assessment. http://dx.doi.org/10.25676/11124/173051 
U.S. Geological Survey Landslide Hazards Program. (2020). Chalk Cliffs, Colorado. U.S Geological Survey https://www.usgs.gov/natural-hazards/landslide-hazards/science/chalk-cliffs-colorado?qt-science_center_objects=0#qt-science_center_objects

Tags: chalk-cliffs, colorado, debris-flow, flood, geologic-hazards-science-center, geomorphology, hydrology, landslide-hazards-program, landslides, usgs, usgs-5f63968682ce38aaa23aff09, video-monitoring, videos
Organization: Department of the Interior
Water bodies within 500 meters of poultry feeding operations on the Delmarva Peninsula in 2016 and 2017.

Data release contains 1710 polygons representing small bodies of water within 500 meters of poultry feeding operations on the Delmarva Peninsula.  Ponds were identified using the USDA's National Agriculture Imagery Program's 2016 and 2017 products.  Poultry feeding operations were described in location by Soroka and Duren (2020).

Tags: avian-influenza, chesapeake-bay, chicken, delaware, delmarva, eastern-shore-maryland, eastern-shore-virginia, farming, inlandwaters, maryland, ponds, poultry, poultry-houses, usgs-5f639ced82ce38aaa23aff54, virginia, waterfowl, wildlife-disease
Organization: Department of the Interior