AndreaBozzo/ceres-open-data-index huggingface dataset:
Apatite and monazite geochemistry data at Mountain Pass, California, 2024

The dataset includes .csv spreadsheets which provide whole rock geochemical data for the alkaline silicate and carbonatite samples from which apatite and monazite were analyzed, as well as geochemical data collected via electron microprobe and laser ablation ICP-MS for the apatite and monazite mineral grains. Whole rock geochemical data were collected by SGS Labs, except carbonatite samples 84-6-125, 85-1-162, 85-9-157, 85-12-304, and 85-12-317, which were collected by AGAT Labs. The .csv files containing geochemical data are associated with individual data dictionaries that define the columns in each file. Additional .csv files are included summarizing reference material analyses, detection limits, and analytical error for electron microprobe and laser ablation ICP-MS analysis. This data release also includes back-scattered electron (BSE) images of apatite mineral separates in epoxy grain mounts from samples collected in outcrop from alkaline silicate rocks of the Mountain Pass Intrusive Suite, as well as apatite and monazite in thin section in samples of drill core from the Mountain Pass carbonatite (the Sulphide Queen orebody). The zip file Phosphate_Mineral_Images contains all BSE images, organized into separate folders for apatite and monazite with subfolders for each sample. The file name of each photograph correlates to the date the image was taken, the mineral imaged, and the sample, mineral grain, and spot identification. The zip file CL_Images contains all mixed RGB hyperspectral cathodoluminescence images and element maps for Sr, Na, and Ce (apatite) and Ca, Si, and Th (monazite). The file name correlates to the sample number, grain number (as in Phosphate_Mineral_Images), and type of data displayed. Acquisition parameters for element map data are displayed on element map images.

Tags: biota, california, geochemistry, mojave, usgs-65e16150d34e5855ff4ce309
Organization: Department of the Interior
Seepage site data for the upper Humboldt River Basin, October 2008 and November 2009

This dataset consists of points representing seepage site locations and discharge measurements as published in appendices 1-3 of the 2013 publication:
Plume, R.W., and Smith, J.L., 2013, Properties of basin-fill deposits, a 1971–2000 water budget, and surface-water-groundwater interactions in the upper Humboldt River basin, northeastern Nevada: U.S. Geological Survey Scientific Investigations Report 2013-5077, https://doi.org/10.3133/sir20135077.

Tags: dixie-creek-area-tenmile-creek-area, elko-segment, great-basin, humboldt-river-basin, humboldt-river-region, huntington-valley, hydrology, inlandwaters, lamoille-valley, marys-river-area, nevada, north-fork-area, south-fork-area, starr-valley, stream-discharge, surface-water-non-marine, usgs-65e15594d34e5855ff4ce2f2
Organization: Department of the Interior
Projections of Rangeland Fractional Component Cover Across Western Northern American Rangelands for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods

Climate change over the past century has altered vegetation community composition and species distributions across rangelands in the western United States. The scale and magnitude of climatic influences are largely unknown. We used fractional component cover data for rangeland functional groups and weather data from the 1985 to 2023 reference period in conjunction with soils and topography data to develop empirical models describing the spatio-temporal variation in component cover. To investigate the ramifications of future change across the western US, we extended models based on historical relationships over the reference period to model landscape effects based on future weather conditions from two emissions scenarios (Representative Concentration Pathways [RCP] 4.5 and 8.5) and three time periods (2020s, 2050s, and 2080s). We build upon the projections of Rigge 2022 and Rigge et al. 2023, expanding our study area to include the entire Rangeland Condition Monitoring Assessment and Projection (RCMAP) study area (including all the sagebrush biome and Canadian expansion), using updated climate projections (Mahony et al. 2022), and applying a Deep Neural Net (DNN) classifier. In general, both scenarios yielded similar results, but RCP 8.5 tended to be more extreme, with greater change relative to the reference period. This information can be used to inform management to prepare for future vegetation composition and cover through the prioritization of conservation and restoration and shed light on species range shifts.

Tags: ab, alberta, annual-herbaceous, arizona, arizona-plateau, az, bare-ground, biota, black-hills, blue-mountains, ca, california, canada, climate-change, co, colorado, colorado-plateau, columbia-plateau, environment, geoscientificinformation, grand-canyon, grass, grassland-change, great-basin, gunnison, herbaceous, id, idaho, imagerybasemapsearthcover, litter, middle-rockies, montana, mt, nd, ne, nebraska, nevada, new-mexico, nm, north-dakota, nv, or, oregon, prairie-provinces, rangeland, rangeland-management, rocky-mountains, sagebrush, saskatchewan, sd, shrub, shrubland, shrubland-change, shrubland-ecosystems, shrublands, sk, snake-river-plain, sonoran-desert, south-dakota, southwest-tablelands, terrestrial-ecosystems, three-forks, trends, united-states, usgs-65e0cd51d34eb64889e1ad21, ut, utah, vegetation, vegetation-change, wa, wasatch, washington, western-us, wy, wyoming, yellowstone
Organization: Department of the Interior
Quaternary fault mapping of the Zapata and Blanca sections of the Sangre de Cristo fault zone from high resolution 3DEP topography

This data release contains a dataset that depicts fault scarps along the Zapata and Blanca sections of the Sangre de Cristo fault zone located in the San Luis basin of southern Colorado. The Zapata and Blanca sections extend from the Great Sand Dunes National Park and Preserve to the Blanca Peak massif and are differentiated by a sharp change in fault zone orientation from north-south to east-west. The fault scarps are the result of Quaternary tectonic extension causing surface rupturing earthquakes estimated to have occurred most recently 8-12 ka with probable Mw 6-7 (Ruleman and Machette, 2007). The dataset represents detailed mapping of probable fault surface rupture on high-resolution (1m/pix) topographic data from USGS 3DEP (U.S. Geological Survey, 2012; U.S. Geological Survey, 2021) mapped at 1:1400 scale. The mapping has been validated with GPS surveys at select locations along the fault zone. Primarily, mapping was conducted between September 2022 and December 2022 with subsequent updates and corrections. The data has undergone peer review but remains subject to revision as more information becomes available. The dataset is provided in shapefile KML, and geoJSON formats.

Tags: blanca-section, colorado, earthquakes, faulting-geologic, geoscientificinformation, mapping, rio-grande-rift, sangre-de-cristo, usgs-65de3fc9d34eb64889e1a33c, zapata-section
Organization: Department of the Interior
14BIM05_IFB_xyz: Interferometric Swath Bathymetry XYZ Data Collected in 2014 Near Breton Island, Louisiana

As part of the Barrier Island Monitoring Project, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted nearshore geophysical surveys off Breton and Gosier Islands, Louisiana, in July and August of 2014. To assist the United States Fish and Wildlife Service (USFWS) with restoration planning efforts, the USGS was tasked with answering fundamental questions about the physical environment of the southern Chandeleur Islands, including the geology, morphology, and oceanography. Baseline data needed to answer these questions was either insufficient or missing in the area.  The USGS conducted a comprehensive geologic investigation in the summer of 2014 by collecting geophysical and sedimentological data.
Breton Island, located at the southern end of the Chandeleur Island chain, Louisiana, was recognized as a natural and globally important nesting sanctuary for several bird species and was established as the Breton National Wildlife Refuge (NWR) in 1904.  The aerial extent of Breton Island has diminished 90% since 1920.  Land loss is attributed to ongoing relative sea-level rise, diminished sediment supply, and storm impacts.  The bird population on Breton Island has also declined over the years, most notably after Hurricane George in 1998 and Hurricane Katrina in 2015, which completely submerged the island.  Despite the decreasing habitable acreage, migratory seabirds continue to return and utilize Breton Island.  To prevent the island from being completely submerged in the future and to protect, stabilize, and provide more nesting and foraging areas for the birding population, the USFWS is proposing a restoration effort to rebuild Breton Island to its pre-Katrina footprint.
This Data Series serves as an archive of processed interferometric-swath, single-beam bathymetry, and side-scan sonar data collected in the nearshore of Breton and Gosier Islands, NWR, Louisiana.  The data were collected during two USGS cruises (USGS Field Activity Numbers 2014-314-FA and 2014-317-FA) in July and August 2014. Geographic Information System data products include a 100 meter-cell-size interpolated bathymetry grid surface, trackline maps, and point data files. Additional files include error analysis maps, Field Activity Collection System logs, and formal Federal Geographic Data Committee (FGDC) metadata.

Tags: 14bim05, 2014-314-fa, barrier-island-evolution-research-project, barrier-island-mapping, bathymetry, breton-island, breton-national-wildlife-refuge, chandeleur-islands, chandeleur-sound, cmgp, coastal-and-marine-geology-program, datum, elevation, geophysical, geoscientificinformation, gosier-islands, gulf-of-mexico, hydrography, ifb, imagerybasemapsearthcover, interferometry, location, louisiana, marine-geology, oceans, shoreline, spcmsc, st-petersburg-coastal-and-marine-science-center, swath, swathplus-h, systems-engineering-and-assessment, u-s-geological-survey, usgs, usgs-65dd78c1-e837-418b-80dd-086ec267f9ed, water
Organization: Department of the Interior
Exposure potential of marsh units to environmental health stressors in Connecticut salt marshes

This data release contains coastal wetland synthesis products for the state of Connecticut. Metrics for resiliency, including the unvegetated to vegetated ratio (UVVR), marsh elevation, tidal range, wave power, and exposure potential to environmental health stressors 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. This project has been funded in part by the United States Environmental Protection Agency under assistance agreement DW-014-92531201-1 to N. Ganju.

Tags: coastal-ecosystems, coastal-processes, connecticut, environment, estuary, geospatial-datasets, inlandwaters, long-island-sound, marsh-health, oceans, salt-marsh, scorr, toxicology, united-states, usgs-65dcf88bd34eb64889e19e89, wetland-ecosystems, wetland-functions
Organization: Department of the Interior
Camera trap photo detections of mammals along three reaches of the Elwha River, Washington

The dataset includes daily counts of the number of independent photo detections from camera traps for 15 mammal species. The camera traps were placed in three study reaches of the Elwha River, Washington between July 2021 and July 2023. The dataset also includes information about the camera station locations, and the calendar date and season when the photos were captured.

Tags: biota, camera-trapping, dam-removal, ecosystem-restoration, elwha, environment, field-inventory-and-monitoring, inlandwaters, lower-elwha-indian-reservation, mammalogy, mammals, olympic-national-park, photography, river-reaches, usgs-65dce343d34eb64889e197bb, wildlife, wildlife-biology
Organization: Department of the Interior
Digital Elevation Model (DEM) Derived Topographic Indices Across Sequoia Groves in Sequoia-Kings Canyon National Park and Yosemite National Park

This dataset provides topographic indices derived from 1 m resolution DEMs for sequoia groves in both Sequoia-Kings Canyon and Yosemite National Parks. All mapped sequoia groves in Sequoia-Kings Canyon National Park and two groves from Yosemite National Park, Merced and Mariposa, are included. For each grove, aspect, slope, the stream network, height above nearest drainage (HAND), depth to water (DTW), maximum elevation deviation (DEVmax), and heat load index (HLI) are calculated. These indices were chosen because of their relevance in determining soil moisture across a landscape. Derived topographic parameters were calculated using 1 m DEMs generated in 2016 resampled to 3 m and a combination of ArcGIS Pro Tools, ArcPy Scripts, Whitebox GAT tools, and R scripts. The stream networks, which are further used in the calculation of HAND and DTW, were determined using a flow accumulation threshold of 2000 meters squared based on a literature-accepted range, chosen specifically based on knowledge of the areas of interest. The neighborhood size range for DEVmax was chosen on two scales, allowing for the identification of both local and more global minima and maxima: squares centered at each pixel ranging from 9 to 303 meters and 9 to 1203 meters wide. The neighborhood size chosen by the algorithm at each pixel maximizes the deviation from the average. Files that include the neighborhood size chosen are included for reference. All files are included as GeoTIFF files.

Tags: digital-elevation-models, elevation, environment, imagerybasemapsearthcover, mathematical-modeling, remote-sensing, sequoia-national-park, soil-moisture, streamflow, usgs-65dcd2c3d34eb64889e195df, yosemite-national-park
Organization: Department of the Interior
Ground crack measurement data for the June 2007 Father's Day dike intrusion and eruption, Kīlauea Volcano

An intrusion into Kīlauea’s upper East Rift Zone during June 17–19, 2007, during the 1983–2018 Pu‘u‘ō‘ō eruption, led to widespread ground cracking and a small (~1,525 m3)  eruption on the northeast flank of the Kānenuiohamo cone, about 6 km upslope from the Pu‘u‘ō‘ō vent. Transmitted and induced very-low-frequency (VLF) magnetic fields were measured with a handheld VLF receiver along transects spanning the dike trace, and zones of ground cracking related to the intrusion were mapped. This dataset records the location, trend, width, and opening direction of a subset of new cracks formed during the June 2007 Father's Day dike intrusion and eruption.

Tags: dike, east-rift-zone, episode-56, eruption, fathers-day-event, field-inventory-and-monitoring, geoscientificinformation, ground-crack, hawaii, hawaii-volcanoes-national-park, intrusion, island-of-hawaii, klauea, knenuiohamo, puu, state-of-hawaii, usgs-65e8913ed34ed433ba127bb9, volcanic-activity, volcanology
Organization: Department of the Interior
Rare earth element concentrations for oil shales and isolated kerogens from around the world

This Data Release contains lanthanide (i.e., rare earth element, REE), yttrium (Y), and scandium (Sc) concentrations for oil shales and kerogens isolated from those presented in the associated journal article "Role of Organic Matter and Thermal Maturation in Rare Earth Element Partitioning in the Middle Devonian Sequence of the Appalachian Basin". This dataset provides REE content for a diverse range of organic-rich mudstones from around the world with samples from the Cambrian through Eocene Periods.

Tags: australia, brazil, estonia, geoscientificinformation, inductively-coupled-plasma-mass-spectrometry, israel, jordan, kerogen, lanthanides, montana, morocco, oil-shale, rare-earth-elements, sweden, united-kingdom, united-states, usgs-65dcc2b0d34eb64889e1956e
Organization: Department of the Interior
Volatile and semivolatile organic compound concentrations in paired porewater and surface-water samples and groundwater samples at the Garland Creosoting Superfund Site, Longview, Texas, 2023–24

The Garland Creosoting Superfund Site in Longview, Texas is an abandoned wood treatment facility that used creosote to preserve wood products between 1960 and 1997. Previous remediation activities at the contaminated site included excavation of creosote-contaminated soil and the installation of an interceptor collector trench and groundwater treatment system to prevent the movement of contaminated groundwater into an intermittent stream, hereinafter referred to as the "unnamed tributary". The unnamed tributary drains into the Iron Bridge Creek after flowing along the southern boundary of the Garland Creosoting Superfund Site, and Iron Bridge Creek eventually drains into the Sabine River, a source of drinking water for thousands of Texas residents. The U.S. Environmental Protection Agency (EPA) is concerned with potential risks to human health from contaminated groundwater that may be flowing off-site either beneath or within the unnamed tributary.
To evaluate the status of volatile organic compound (VOC) and semivolatile organic compound (SVOC) contamination, in November 2023 and January 2024, the U.S. Geological Survey (USGS), in the cooperation with the EPA, collected paired surface water and porewater samples from sampling locations along an unnamed tributary, and groundwater samples from monitoring wells at the Garland Creosoting Site. In total, nine paired porewater and surface water samples (along with one additional surface water sample) were collected from the unnamed tributary. Groundwater-quality samples were collected from five monitoring wells at the Site.

Tags: elevation, environmental-protection-agency, garland-creosoting-superfund-site, gregg-county, groundwater, iron-bridge-creek, longview, porewater, sabine-river, semivolatile-organic-compound, superfund, surface-water, texas, usa, usgs-65dcbde2d34eb64889e19564, volatile-organic-compound, water-quality
Organization: Department of the Interior
Global data on the relationship between urban biodiversity and ecosystem functioning between 2006 and 2023

This database contains documented observations of the relationship between biodiversity and ecosystem functioning in urban areas globally published between 2006 and June 2023. We systematically reviewed publications from Web of Science. To be included, studies needed to explicitly assess how at least one metric of biodiversity related to at least one ecosystem function and must have been conducted in an urban setting (as defined by the study author). We only included studies that explicitly assessed correlations between biodiversity and ecosystem functioning or tested cause/effect models or experiments. We extracted data related to basic study information and methodology, and the ecosystem function assessed, focal taxonomic group, biodiversity metric, and direction of the biodiversity-ecosystem function relationship.

Tags: biodiversity, biota, city, ecosystem-functioning, green-space-management, urban, usgs-65dcb60ad34eb64889e19549
Organization: Department of the Interior
Predicting sediment responses to different management scenarios for Lake Powell releases

These data were compiled for/to modeling to assess impact of management scenarios on Colorado River sediment resources. Objective(s) of our study were to assess impact of management scenarios on Colorado River sediment resources. These data represent model results for high flow experiment timing/duration, sand mass balance, sandbar volume, based on the data in the Interim Guidelines SEIS and LTEMP SEIS folders. These data were generated in 2023-2024 and are model simulations of Colorado River sediment resources downstream of Glen Canyon dam. These data were created by the U.S. Geological Survey, Southwest Biological Science Center, Grand Canyon Monitoring &amp; Research Center with models generated and codes written/adapted by Gerard Salter. These data can be used to assess impact of management scenarios on Colorado River sediment resources.

Tags: arizona, coconino-county, colorado-river, data-release, earth-sciences, environment, geology, geomorphology, glen-canyon, glen-canyon-dam, grand-canyon, hydrology, inlandwaters, lake-powell, mathematical-modeling, sedimentology, time-series-analysis, time-series-datasets, usgs-65d8e825d34ec3e1801e3a68, water-resources
Organization: Department of the Interior
Predicted Physical Habitat Metrics for the Chesapeake Bay watershed at the 1:100k scale, 2001-2019

Degraded physical habitat is a common stressor affecting river ecosystems and a primary focus of management activities, including stream restorations. In order to assess regional conditions and help prioritize management efforts, there is an ongoing need to provide estimates of different aspects of instream physical habitat conditions at spatially continuous scales.
We utilized over 16,000 unique habitat assessments from multiple jurisdictions across the Chesapeake Bay watershed and created a spatially continuous nontidal habitat assessment using predictive random-forest modeling based on landscape attributes. Through this work, we produced predictions for the twelve rapid habitat metrics contained within the EPA Rapid Habitat Protocols (Barbour and others 1999), with a climate-normalized signal at timesteps corresponding to 2001, 2006, 2011, 2016, and 2019 landscape conditions. We also produced two summary habitat metrics, based on principal component analysis, that captured the majority of variability across the Chesapeake Watershed, which was also produced for 2001, 2006, 2011, 2016, and 2019.
This data release contains tabular model inputs and outputs of the predictions for the twelve original rapid habitat metrics, plus two summary metrics, for all nontidal NHDPlus v2.1 1:100k catchments/stream reaches for the Chesapeake Watershed for 2001, 2006, 2011, 2016, and 2019. Data are provided in both .csv format and Apache Parquet (.parquet), a free and open-source column-oriented data storage format that is well-suited for large datasets, which enables smaller file sizes, faster reading, faster queries and data manipulations, and the ability to be read in multiple languages (e.g., R, Python, Rust, C++, Java, and more). This data release is the companion to the journal article Cashman and others (in review).

Tags: biota, chesapeake, chesapeake-bay-watershed, environment, habitat-alteration, habitat-alteration-and-disturbance, hydrologic-characteristics-of-habitats, hydromorphology, inlandwaters, physical-and-chemical-characteristics-of-habitats, physical-habitats-and-geomorphology, piedmont, usgs-65d8c17dd34ec3e1801e1d56
Organization: Department of the Interior