AndreaBozzo/ceres-open-data-index huggingface dataset:
Abandoned Mine Land (AML) Geochemical Data: Browns Park District, Daggett County, Utah

From October 2017 to June 2018, the United States Geological Survey (USGS) collected 101 surficial sediment samples from abandoned mine wastepiles, ephemeral channels below wastepiles, nearby outcrops, and background areas representative of the undisturbed lithology in the Browns Park mining district of northeastern Utah. Additionally, twelve sediment samples were collected in drainages associated with legacy sample locations from the National Uranium Resource Evaluation (NURE) Hydrogeochemical and Stream Sediment Reconnaissance (HSSR) program (reformatted by Smith, 2006). 
The Browns Park district is in the eastern arch of the Uinta Mountain Range, north of the Green River, and approximately 5 miles west of the Utah-Colorado border. Prospecting and extraction of copper, silver, uranium, and their associated minerals is known to have taken place throughout the district, but mining operations and records of production were poorly documented (Krahulec, 2018). 
Geochemical analyses were completed through a third-party contract by AGAT Laboratories. Samples were ground to &lt;150 mesh, homogenized and decomposed by four-acid digestion prior to being 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, aluminum, antimony, arsenic, barium, beryllium, bismuth, browns-park, cadmium, cerium, cesium, chemical-analysis, chromium, cobalt, contaminant-transport, contamination-and-pollution, daggett-county, environmental-health-human, field-sampling, gallium, geochemistry, gravel-deposits, hafnium, hazards, human-environmental-safety, human-impacts, icp-ms, icp-oes, indium, iron, jesse-ewing-canyon, lanthanum, lead, lithium, lutetium, magnesium, manganese, mine-drainage, mine-waste, mining-hazards, molybdenum, nickel, niobium, phosphorous, potassium, remediation, rubidium, scandium, sediment-geochemistry, selenium, silver, sodium, strontium, sulfur, tantalum, tellurium, terbium, thallium, tin, tungsten, uinta-mountains, unconsolidated-deposits, uranium, usgs-65c11e89d34ef4b119ca64ed, utah, vanadium, ytterbium, yttrium, zinc, zirconium
Organization: Department of the Interior
Precipitation data within the 2020 Archie Creek, Holiday Farm, Beachie Creek, Lionshead, and Riverside Fires, in the Western Cascade Range of Oregon from 2020-2023

This data release contains rainfall data from the 2020 Archie Creek, Holiday Farm, and Riverside Fire’s. These are gages identified in the parent OR_field_observations.csv release and used to calculate peak rainfall intensity-durations. The csv files here are organized by the station name and followed by the year of data collection. The locations of the stations, dates of deployment, interval, and unit of rainfall measurement are available in gage_locations.csv in the parent data release. All rainfall data are reported as a cumulative total.
The Archie1, Archie2, Archie3, Holiday1, Holiday2, Holiday3, Holiday4, and Oregon Rain 4 rain gages are non-telemetered. These gages were deployed following the fires within the first few months of the 2020 water year. These rainfall data files are the raw output of the HOBO data logger file that have been converted to a csv using HOBO software version 3.7.25. These are tipping bucket gages where each bucket tip represents 0.2 mm of rainfall.  The column headers for the non-telemetered gages are: 
#: Number of data logs recorded.
Date Time, GMT-07:00: Time stamp of when data event was recorded [m/d/yyyy H:M:S].
Event, units (Sensor IDs): Bucket tip.
OregonRain4 additionally includes a temperature recording column Temp, °C (LGR S/N: 10741450, SEN S/N: 10741450, LBL: temp), which describes the temperature recorded for the timestamp in degrees C. 
The D7564, E6414, F0379, F9895, HGNO3, LNEO3, RWXO3, TCFO3, and WPKO3 gages are telemetered, and rainfall data were downloaded from MESOWEST (https://mesowest.utah.edu/). MESOWEST only allows for rainfall data to be downloaded at a maximum of 365 days at a time, and rainfall data associated with these telemetered gages span multiple years. The multiple years of data for each gage were combined and adjusted so that our cumulative rainfall data starts at a value of 0 at the start of our downloaded data. These data are reported in inches. The column headers for these telemetered gages are:
date: Time stamp of when data event was recorded [m/d/yyyy H:M].
precip: Cumulative total of rainfall in inches.

Tags: biota, rainfall, usgs-65bd8166d34e18c6baf34020, western-oregon
Organization: Department of the Interior
Inventory of debris flows in burned (2020-2022) and unburned (1995-2020) areas in the western Cascade Range of Oregon

This data release contains two debris-flow inventories summarizing observations from burned and unburned areas in the western Cascade Range of Oregon (OR). The burned inventory focuses on debris flows that occurred during the first two years after the 2020 Archie Creek, Holiday Farm, Beachie Creek/Lionshead, and Riverside fires (OR_field_observations.csv). The unburned inventory (1995-2022) focuses on debris flows in the same areas (excluding the Riverside Fire). The inventories are derived from field observations (OR_field_observations.csv) and aerial imagery (OR_imagery_observations.csv). They include mapped debris-flow initiation locations, descriptions of the inferred initiation process, other notable site characteristics, and rainfall data. Locations of debris flows observed after wildfires are also linked to USGS postfire debris-flow hazard assessments (USGS, 2022; Staley and others, 2017; Thomas and others 2023). Rainfall characteristics for each debris flow in the inventory are derived from the closest rainfall gage to an observed debris flow (gage_locations.csv). Peak rainfall rates during the known time window of debris-flow initiation are reported for durations of 15 minutes, 30 minutes, 60 minutes, 12 hours, 24 hours, 36 hours, and 48 hours. More detailed explanations of the headers for each of these csv files can be found within the README_csvname.txt file.
References:
Landslide Hazards Program. (n.d.). Emergency assessment of post-fire debris-flow hazards. U.S. Geological Survey. https://landslides.usgs.gov/hazards/postfire_debrisflow
Staley, D. M., Negri, J. A., Kean, J. W., Laber, J. L., Tillery, A. C., and Youberg, A. M., 2017, Prediction of spatially explicit rainfall intensity–duration thresholds for post-fire debris-flow generation in the western United States. Geomorphology, 278, 149–162. https://doi.org/10.1016/j.geomorph.2016.10.019
Thomas, M. A., Kean, J. W., McCoy, S. W., Lindsay, D. N., Kostelnik, J., Cavagnaro, D. B., Rengers, F. K., East, A. E., Schwartz, J. Y., Smith, D. P., and Collins, B. D., 2023, Postfire hydrologic response along the Central California (USA) coast: insights for the emergency assessment of postfire debris-flow hazards. Landslides, 20, 2421-2436. https://doi.org/10.1007/s10346-023-02106-7

Tags: biota, debris-flow, geography, geomorphology, hazard, hydrology, oregon, rainfall, usgs-65bd7eecd34e18c6baf33d4b
Organization: Department of the Interior
Repeat Lidar and Orthoimagery of Headwater Streams in the Donner und Blitzen River Basin, Oregon: Lidar Point Cloud, 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 classified lidar point cloud 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-65c144cbd34ef4b119ca6641
Organization: Department of the Interior
MODFLOW-OWHM Used to Characterize the Groundwater Flow System of the Central Valley

A three-dimensional groundwater flow model of the Central Valley in California was developed to aid water managers in understanding how water moves through the aquifer system, to predict water-supply scenarios, and to address issues related to subsidence. The USGS California Water Science Center made a detailed assessment of groundwater availability of the Central Valley aquifer system, which includes: (1) the status of groundwater resources; (2) how these resources have changed over time, particularly related to subsidence; and (3) tools to assess system responses to stresses from future human uses and climate variability and change. This effort builds on previous investigations, such as the USGS Central Valley Regional Aquifer System and Analysis (CV-RASA) project and Groundwater Resources Program and several other groundwater studies in the Valley completed by Federal, State and local agencies at differing scales. The principal product of this new assessment is a tool referred to as the Central Valley Hydrologic Model version 2 (CVHM2) that accounts for integrated, variable water supply and demand, and simulates surface-water and groundwater-flow and subsidence across the entire Central Valley system. The current model was extended to incorporate a slightly larger geographic area, includes more water level and subsidence observations, uses a more-detailed depiction of subsurface geology, includes managed aquifer recharge and flux from small watersheds, and utilizes a more detailed simulation of subsidence processes. In addition, the model utilizes a specialized version of MODFLOW called the MODFLOW-One-Water Hydrologic Flow Model (MODFLOW-OWHM)  to simulate groundwater and surface-water flow, irrigated agriculture, land subsidence, and other key processes in the Central Valley monthly for April 1961 through September 2019. This USGS data release contains all of the input and output files for the simulation and calibration of the CVHM2 described in the associated model documentation report (https://doi.org/10.3390/w16081189).

Tags: california, central-valley, corcoran-clay, environment, groundwater-and-surface-water-interaction, groundwater-flow-modeling, groundwater-level, land-subsidence, sacramento-valley, san-joaquin-basin, san-joaquin-valley, tulare-basin, usgs-65bd367fd34e18c6baf32758
Organization: Department of the Interior
Hawaiian Islands nested habitat suitability models for highly invasive plants for baseline climate scenario (1990-2009)

We created a comprehensive estimate of potential distribution for a subset of 17 ecosystem modifying invasive plants (EMIPs) in Hawaiʻi. This work uses methods that integrate a wide set of data sources including agency and citizen science data, but perhaps more importantly, the integration of regional and global distribution information for these species. We developed transferable and comparable general species distribution models (SDMs) at global and regional scales based on a  minimum set of biologically plausible predictors. We built three sets of ensemble species distribution models (SDMs) for each species. We first built global and regional ensemble distribution models for each species. Then, to create a comprehensive estimate of potential invasive species distribution for our study species in Hawaiʻi, we built nested regional models that integrate our global and regional ensemble models. This approach and the resulting mapped distributions are the most comprehensive to date for Hawaiian invasive plants and can possibly be applied more broadly to other species in the future. These models are available as both habitat suitability maps with pixel values ranging from 0 (low suitability) to 1 (high suitability); and as binary maps that separate areas of potential presence (1) from those where presence is not expected (0) based on the environmental predictors considered. This data set contains two nested model 17 band geospatial raster stacks for the suitability and binary maps with one band per each of the 17 EMIP species selected.

Tags: baseline-climate, biota, ensemble-model-projections, hawaii, invasive-plants, main-hawaiian-islands, nested-models, species-distribution-models, usgs-65bc2394d34e18c6baf2f05e
Organization: Department of the Interior
Hawaiian Islands regional habitat suitability models for highly invasive plants for baseline climate scenario (1990-2009)

We created a comprehensive estimate of potential distribution for a subset of 17 ecosystem modifying invasive plants (EMIPs) in Hawaiʻi. This work uses methods that integrate a wide set of data sources including agency and citizen science data, but perhaps more importantly, the integration of regional and global distribution information for these species. We developed transferable and comparable general species distribution models (SDMs) at global and regional scales based on a  minimum set of biologically plausible predictors. The regional models were developed for each species using only regional location data and pseudo-absences (PAs) wihtin the extent of the main Hawaiian Islands and regionally derived bioclimatic variables (250 m). These models are available as both habitat suitability maps with pixel values ranging from 0 (low suitability) to 1 (high suitability); and as binary maps that separate areas of potential presence (1) from those where presence is not expected (0) based on the environmental predictors considered. This data set contains two regional model 17 band geospatial raster stacks for the suitability and binary maps with one band per each of the 17 EMIP species selected.

Tags: baseline-climate, biota, ensemble-model-projections, hawaii, invasive-plants, main-hawaiian-islands, nested-models, species-distribution-models, usgs-65bc1e2dd34e18c6baf2f046
Organization: Department of the Interior
Hawaiian Islands global habitat suitability models for highly invasive plants for baseline climate scenario (1990-2009)

We created a comprehensive estimate of potential distribution for a subset of 17 ecosystem modifying invasive plants (EMIPs) in Hawaiʻi. This work uses methods that integrate a wide set of data sources including agency and citizen science data, but perhaps more importantly, the integration of regional and global distribution information for these species. We developed transferable and comparable general species distribution models (SDMs) at global and regional scales based on a  minimum set of biologically plausible predictors. The global models were developed for each species using all global location data and pseudo-absences (PAs), excluding those found in Hawaiʻi, and using WorldClim2 bioclimatic variables (1 km) and were only fit and projected for Hawaiʻi. These models are available as both habitat suitability maps with pixel values ranging from 0 (low suitability) to 1 (high suitability); and as binary maps that separate areas of potential presence (1) from those where presence is not expected (0) based on the environmental predictors considered. This data set contains two global model 17 band geospatial raster stacks for the suitability and binary maps with one band per each of the 17 EMIP species selected.

Tags: baseline-climate, biota, ensemble-model-projections, hawaii, invasive-plants, main-hawaiian-islands, nested-models, species-distribution-models, usgs-65bc1927d34e18c6baf2f031
Organization: Department of the Interior
Tracking Data for Lesser Scaup (Aythya affinis)

These location data were collected from a free-ranging species of diving duck, the Lesser Scaup (Aythya affinis), using the Argos Satellite Telemetry System with platform transmitter terminals (PTTs) that were surgically implanted in ducks. Ducks were marked at two breeding areas: Yukon Flats National Wildlife Refuge in Alaska, USA at the northern extent of their distribution (66.51000 degrees N, -145.98556 degrees W) in 2012 and at Red Rock Lakes National Wildlife Refuge in Montana, USA at the southern extent of their distribution (44.63778 degrees N, -111.73694 degrees W) in 2009. These data can be downloaded from the Movebank repository (www.movebank.org) as an Excel (.csv), Google Earth (.kmz), or ESRI shapefile (study name "Tracking Data for Lesser Scaup (Aythya affinis)", study ID 1081716933, https://www.movebank.org/cms/webapp?gwt_fragment=page=studies,path=study1081716933).

Tags: alaska, biota, birds, migration-organisms, montana, north-america, usgs-65b99666d34e18c6baf2c297
Organization: Department of the Interior
Radar-based field measurements of gage-height and surface velocity and resulting cross-sectional area and discharge from 80 U.S. Geological Survey streamgages for various locations in Texas, 2021–24

The U.S. Geological Survey (USGS), in cooperation with the Texas Department of Transportation (TxDOT), deployed RQ-30 surface velocimetry sensors (hereinafter referred to as “RQ-30 sensors”) made by Sommer Messtechnik to collect radar gage-height data, cross section area, surface velocity, learned surface velocity, discharge, and learned discharge at 80 streamgages located in stream reaches with varying hydrologic and hydraulic characteristics. Land-use types in the contributing drainage basins included agricultural, forest, mixed, and coastal, that are common in central, east, and southeast Texas. Many of the drainage basins and streams have relatively low gradients. To test the efficacy of the remote-sensing methods, the RQ-30 sensors were deployed for 1 to 3 years to capture and compute data over a range of hydraulic conditions. Continuous time series of radar-measured gage-height and surface velocity and radar-derived cross-sectional area, learned surface velocity, discharge, and learned discharge were recorded at 5-minute intervals. Discharge data were computed by using radar-derived cross-sectional area and surface velocity data, whereas learned discharge were computed by using radar-derived cross-sectional area and learned surface velocity. The two types of discharge data obtained with the RQ-30 sensors were compared to discharge data computed by using the standard USGS stage-discharge methods. For each of the 80 streamgages, information regarding the USGS site number, station name, location, datum, installation date, and data start date, can be found in the file named "Station Metadata.csv" included with this release.

Tags: central-texas, climatologymeteorologyatmosphere, discharge, doppler, east-texas, environment, gage-height, inlandwaters, pulsed-stage, radar, rq-30, southeast-texas, stream-velocity, surface-velocity, texas, usgs-65b95b46d34e18c6baf2c1ce
Organization: Department of the Interior
Ocular field estimates of exotic annual and perennial grass cover across the Soda Wildfire

Data includes functional group cover of exotic annual grasses and deep rooted perennial grasses within the first five years after the 2015 Soda wildfire across different post-fire restoration treatments. Additional landscape and restoration treatment covariates hypothesized to influence post-fire invasive annual grass and perennial grass cover are included.

Tags: biota, community-ecology, ecology, environment, land-use-and-land-cover, natural-resource-management, remediation, usgs-65b94d46d34e18c6baf2c0f3, vegetation
Organization: Department of the Interior
Aggregation metrics for elk on the National Elk Refuge, Wyoming, January 1 to May 1, 2017-2022.

This data release contains summarized elk aggregation metrics generated from Global Positioning System (GPS) collar locations of elk on the National Elk Refuge in Jackson, Wyoming. Aggregation metrics include annual kernel density estimates of the area used by elk on the National Elk Refuge, daily measures of inter-elk distances, daily pairwise proximity, and daily mean proximity and associated explanatory covariates.

Tags: aggregation, biota, chronic-wasting-disease, elk, national-elk-refuge, remote-sensing, supplemental-feeding, usgs-65b929cbd34e18c6baf2bf17, wyoming
Organization: Department of the Interior
October 2015 bathymetry collected near Dumbarton Bridge in south San Francisco Bay, California

Bathymetric survey data were collected in October 2015 just south of Dumbarton Bridge in south San Francisco Bay, California. Portions of the main channel and western shallows/intertidal mudflats were surveyed using an interferometric sidescan sonar system following procedures detailed in Foxgrover and others, 2011. The bathymetry is provided as a 1-m resolution raster in geoTIFF format, referenced to the vertical datum of mean lower low water (MLLW). To convert to the North American Vertical Datum of 1988 (NAVD88), subtract a static offset of 0.37 m (datum conversions provided in Foxgrover and others, 2007).

Tags: alameda-county, bathymetry, bathymetry-and-elevation, bathymetry-measurement, cmhrp, coastal-and-marine-hazards-and-resources-program, digital-elevation-models, dumbarton-bridge, elevation, geographic-information-systems-gis, gps-measurement, inlandwaters, interferometric-sonar, pacific-coastal-and-marine-science-center, pcmsc, san-francisco-bay, san-mateo-county, sidescan-sonar, state-of-california, u-s-geological-survey, usgs, usgs-65b92156-97a5-4b4a-9747-8451204ff705, wetland-restoration
Organization: Department of the Interior