AndreaBozzo/ceres-open-data-index huggingface dataset:
Bias-corrected topobathymetric elevation model for south Florida, 2018

Accurate elevation data in coastal ecosystems are crucial for understanding vulnerability to sea-level rise. Lidar has become increasingly available; however, in tidal wetlands such as mangroves and salt marsh, vertical bias from dense vegetation reduces accuracy of the delivered 'base earth' products. To increase accuracy of elevation models across south Florida, we applied the LEAN technique to six different lidar collections from 2007-2018.  On average, LEAN correction increased DEM accuracy by 46.1 percent, reducing the vertical bias. After correction and post-processing, the DEMs were merged together with a bathymetric dataset to create a seamless topobathy product.

Tags: bathymetry-and-elevation, digital-elevation-models, elevation, florida, lidar, southern-florida, usgs-64236d0cd34e370832fd38e1
Organization: Department of the Interior
Attributed North American Grid-Based Offshore Sampling Frames: Mexico

This sampling frame is a set of grid-based, finite-area frames spanning the offshore areas surrounding Mexico, and is intended for use with the North American Bat Monitoring Program (NABat). A Generalized Random-Tessellation Stratified (GRTS) Survey Design draw was added to the sample units from the raw sampling grids (https://doi.org/10.5066/P9XBOCVV). The GRTS survey design algorithm assigns a spatially balanced and randomized ordering (GRTS order) to each cell within its respective framework. Grid cells are prioritized numerically; the lower the number, the higher the sampling priority. Cells can then be selected for monitoring following the GRTS order, ensuring both randomization and spatial balance. Monitoring within this standardized framework allows statistical inference to non-surveyed locations and ensures the validity of analyses at regional and range-wide scales. NABat is a continental collaboration including state and provincial, federal, and local agencies intended to standardize the collection and storage of bat data. Grid boundaries are based on World Exclusive Economic Zone oceanic political boundaries and extend into the shoreline 30 kilometers.

Tags: biota, generalized-random-tessellation-stratified, grid, grts, mexico, nabat, north-america, north-american-bat-monitoring-program, offshore, sample-frame, usgs-64235a5ed34e807d39bba2cf
Organization: Department of the Interior
Attributed North American Grid-Based Offshore Sampling Frames: Hawaii

This sampling frame is a set of grid-based, finite-area frames spanning the offshore areas surrounding Hawaii, and is intended for use with the North American Bat Monitoring Program (NABat). A Generalized Random-Tessellation Stratified (GRTS) Survey Design draw was added to the sample units from the raw sampling grids (https://doi.org/10.5066/P9XBOCVV). The GRTS survey design algorithm assigns a spatially balanced and randomized ordering (GRTS order) to each cell within its respective framework. Grid cells are prioritized numerically; the lower the number, the higher the sampling priority. Cells can then be selected for monitoring following the GRTS order, ensuring both randomization and spatial balance. Monitoring within this standardized framework allows statistical inference to non-surveyed locations and ensures the validity of analyses at regional and range-wide scales. NABat is a continental collaboration including state and provincial, federal, and local agencies intended to standardize the collection and storage of bat data. Grid boundaries are based on World Exclusive Economic Zone oceanic political boundaries and extend into the shoreline 30 kilometers.

Tags: biota, generalized-random-tessellation-stratified, grid, grts, hawaii, nabat, north-america, north-american-bat-monitoring-program, offshore, sample-frame, usgs-64235a10d34e807d39bba2cd
Organization: Department of the Interior
Attributed North American Grid-Based Offshore Sampling Frames: Caribbean

This sampling frame is a set of grid-based, finite-area frames spanning the offshore areas surrounding the Caribbean, and is intended for use with the North American Bat Monitoring Program (NABat). A Generalized Random-Tessellation Stratified (GRTS) Survey Design draw was added to the sample units from the raw sampling grids (https://doi.org/10.5066/P9XBOCVV). The GRTS survey design algorithm assigns a spatially balanced and randomized ordering (GRTS order) to each cell within its respective framework. Grid cells are prioritized numerically; the lower the number, the higher the sampling priority. Cells can then be selected for monitoring following the GRTS order, ensuring both randomization and spatial balance. Monitoring within this standardized framework allows statistical inference to non-surveyed locations and ensures the validity of analyses at regional and range-wide scales. NABat is a continental collaboration including state and provincial, federal, and local agencies intended to standardize the collection and storage of bat data. Grid boundaries are based on World Exclusive Economic Zone oceanic political boundaries and extend into the shoreline 30 kilometers.

Tags: biota, caribbean, generalized-random-tessellation-stratified, grid, grts, nabat, north-america, north-american-bat-monitoring-program, offshore, sample-frame, usgs-6423596dd34e807d39bba2c0
Organization: Department of the Interior
A deep learning model and associated data to support understanding and simulation of salinity dynamics in Delaware Bay

Salinity dynamics in the Delaware Bay estuary are a critical water quality concern as elevated salinity can damage infrastructure and threaten drinking water supplies.  Current state-of-the-art modeling approaches use hydrodynamic models, which can produce accurate results but are limited by significant computational costs. We developed a machine learning (ML) model to predict the 250 mg/L Cl- isochlor, also known as the salt front, using daily river discharge, meteorological drivers, and tidal water level data. We use the ML model to predict the location of the salt front, measured in river miles (RM) along the Delaware River, during the period 2001-2020, and we compare the ML model results to results from the hydrodynamic Coupled Ocean Atmospheric Wave Sediment Transport (COAWST) model. The ML model shows RMSE = 2.52 RM during the five-year holdout period, superior to three overlapping years of COAWST model predictions, RMSE = 5.36 RM, however the ML model struggles to predict extreme events. Further, we use functional performance and expected gradients, tools from information theory and explainable artificial intelligence, to show that the ML model learns physically realistic relationships between the salt front location and drivers (particularly discharge and tidal water level). These results demonstrate how an ML modeling approach can provide predictive and functional accuracy at a significantly reduced computational cost compared to process-based models. Additionally, these results provide support for using ML models for applications in operational forecasting, scenario testing, management decision making, hindcasting, and resulting opportunities to understand past behavior and develop hypotheses. In this model archive, we provide the scripts and configurations to fetch data for the machine learning model, to process the data for the machine learning model, to run the machine learning model and to analyze the functional performance of the machine learning model.

Tags: coastal-science, de, deep-learning, delaware, delaware-river-basin, environment, estuary, explainable-ai, hybrid-modeling, information-theory, inlandwaters, machine-learning, maryland, md, modeling, new-jersey, new-york, nj, ny, pa, pennsylvania, salinity, salt-front, united-states, us, usgs-6421bccdd34e807d39ba9099, water, water-resources
Organization: Department of the Interior
The U.S. Inland Creel and Angler Survey Catalog (CreelCat): A Database and Interactive Tool for Inland Fisheries Management and Research

The U.S. Inland Creel and Angler Survey Catalog (CreelCat) contains data compiled from 14,729 creel and angler surveys conducted by state natural resource management agencies (including Washington DC and Puerto Rico) in inland waters across the United States. Data is are contained in eight .csv files which contain information about survey characteristics (Survey_Data.csv), angler effort (AngEffort_Data.csv), catch and harvest (FishDataCompiled.csv), angler demographics (Demographic_Data.csv), angler preferences (AngPrefDataCompiled.csv), taxonomic classifications (Taxa_Data.csv), issues with catch and harvest (Fish_Attribution_Issues.csv), and issues with angler preference (AngPref_Attribution_Issues.csv), as well as three shapefiles containing geospatial information for lakes, reservoirs, ponds and tailraces attributed as polygons, rivers and streams attributed as lines, and all types attributed as points. Survey methodology and documentation is highly variable and therefore not all fields will be available for all surveys. The majority of surveys have been georeferenced however some data sources did not include adequate information to georeferenced the survey locations. In future releases we hope to update as many additional surveys as possible with geospatial information. Tables can be linked based on the 'Survey_ID' field. Data can be linked to the CreelCat shapefiles (point, line, and polygon) based on the WB_ID field contained in the 'Survey_Data' table as well as the shapefile attribute tables.

Tags: biota, fish, fisheries-management, fisheries-resources, inland-fisheries-resources, recreation, recreational-fisheries-resources, usgs-641de8b0d34e807d39b7ad0d
Organization: Department of the Interior
Evaluation of pore-like features in sedimentary organic matter

Research examining organic-matter hosted porosity has significantly increased during the last ten years due to greater focus on understanding hydrocarbon migration and storage in source-rock reservoirs, and technological advances in scanning electron microscopy (SEM) capabilities. The examination of nanometer-scale organic-matter hosted porosity by SEM requires the preparation of exceptionally flat geologic samples beyond the abilities of traditional mechanical polishing which can deform or otherwise obscure organic surfaces. To meet this demand, broad ion beam (BIB) milling was introduced as a sample preparation technique for SEM petrographic analysis of geologic samples. But like with any sample preparation technique, there can be unintended consequences. In this study, we examined the development of nanometer-scale pore-like features caused by BIB milling of thermoset plastic binder material [poly(methyl methacrylate), PMMA] used for the mounting of geologic samples, and artifact pore-like features in the organic matter of Eocene Mahogany zone of the Green River Formation and Jurassic Kimmeridge Clay Formation source rocks.

Tags: broad-ion-beam-milling, colorado, england, organic-matter, pore-like-features, preparation-artifacts, solid-bitumen, usgs-641dc758d34e807d39b76e60, utah
Organization: Department of the Interior
Tabular geochronologic, geochemical, and isotopic data from igneous rocks in the Lane Mountain area, San Bernardino County, California

This dataset provides geochronologic, geochemical, and isotopic data for selected igneous rock samples collected in the Lane Mountain area about 20 kilometers northeast of Barstow, California, between the years 2014 and 2021. Uranium-lead (U-Pb) zircon geochronologic and whole-rock geochemical data were obtained for 62 samples of which 28 are from Permian to Triassic plutonic rocks and dikes, 24 from Late Jurassic plutonic rocks, 6 from Late Cretaceous plutonic rocks and dikes, and 4 from Miocene volcanic rocks. Rubidium-strontium (Rb-Sr) isotopic data were obtained for 8 Permian to Triassic samples, 9 Late Jurassic samples, and 4 Late Cretaceous samples.  Oxygen isotope data were obtained for 2 Permian to Triassic samples, 6 Late Jurassic samples, and 2 Late Cretaceous samples. The dataset consists of six tables in csv (comma separated values) format: (1) sample localities and lithology; (2) SHRIMP-RG (Sensitive High-Resolution Ion Microprobe-Reverse Geometry) U-Pb zircon geochronologic data; (3) sample ages derived from the geochronologic data; (4) whole-rock geochemical data determined by ICP-AES-MS (Inductively Coupled Plasma Atomic Emission Spectroscopy-Mass Spectrometry) and WDXRF (Wavelength Dispersive X-ray Fluorescence); (5) whole-rock Rb-Sr isotopic data measured on a solid source mass spectrometer, along with calculations of the original 87Sr/86Sr isotopic ratios based on the measured data; and (6) whole-rock oxygen isotope determinations of delta 18O.

Tags: barstow, california, el-paso-terrane, geochemistry, geochronology, geology, isotope-geology, lane-mountain, san-bernardino-county, united-states, usgs-641dc438d34e807d39b76952, zircon
Organization: Department of the Interior
MODFLOW-NWT model used to evaluate groundwater withdrawal scenarios for the Rush Springs aquifer upgradient from the Fort Cobb Reservoir, western Oklahoma, 1979-2015, including streamflow, base flow, and precipitation statistics

A previously published MODFLOW-NWT groundwater-flow model for the Rush Springs aquifer in western Oklahoma (using 1 steady state stress period followed by 444 monthly stress periods representing 1979-2015; Ellis, 2018a) was used as the basis of several groundwater-use scenarios. The model is a 3-layer model including the Cloud Chief formation (confining unit of the Rush Springs aquifer), alluvial and terrace deposits, and the Rush Springs aquifer. The scenarios were used to assess the effects of increasing groundwater withdrawals from the Rush Springs aquifer on base flows to streams that flow into Fort Cobb Reservoir to address concerns over groundwater use reducing inflows to the lake. The effects of groundwater use on base flow were assessed using four scenarios: (1) scaling the equal-proportionate-share rate estimated by Ellis (2018a), (2) scaling historical groundwater withdrawals, (3) scaling historical groundwater withdrawals using zones, and (4) base flow depletion simulations. This USGS data release contains all input and output files for the groundwater-flow simulations and streamflow and base-flow statistics described in the associated model documentation report (https://doi.org/10.3133/sir20245002). Supporting geospatial data are provided that were used to help construct the scenarios and used to display model outputs.

Tags: base-flow, blaine-county, caddo-county, canadian-county, custer-county, dewey-county, ellis-county, environment, fort-cobb-reservoir, geoscientificinformation, grady-county, groundwater, groundwater-flow, groundwater-model, hydrology, inlandwaters, kiowa-county, major-county, modeling, modflow-nwt, oklahoma, pest, precipitation-atmospheric, python, roger-mills-county, rush-springs-aquifer, stephens-county, streamflow, streamflow-depletion, trends, usgs-641d922dd34e807d39b727fd, usgsgroundwatermodel, washita-county, woodward-county
Organization: Department of the Interior
Ceratocystis Pathogen Presence on Beetles

These data contain the documentation of culturing results of Ceratocystis lukuohia and Ceratocystis huliohia from ambrosia beetle (Coleoptera: Curculionidae) bodies. Beetles were collected from bolts (tree stem sections), sticky cards affixed to ʻōhiʻa trees in the field, and cross-vein panel traps deployed in the field. Beetles were cultured to detect the presence of fungi, confirmed morphologically, then further confirmed for DNA by quantitative polymerase chain reaction (qPCR).

Tags: ambrosia-beetle, biota, ceratocystis, invasive-species, rapid-ohia-death, usgs-642af266d34ee8d4add03be3
Organization: Department of the Interior
Age ratios and landscape change covariates for mule deer (Odocoileus hemionus) herd units in Wyoming, USA, 1985-2019

Sagebrush ecosystems and wildlife that depend on them are under pressure from development, changing climate, as well as natural and human-caused disturbance. Mule deer (Odocoileus hemionus) are of particular concern due to population declines across many western states. We initiated a study to evaluate landscape-level changes ( disturbances, habitat treatments, development, and climate change) in Wyoming. This dataset contains age ratios (the number of juveniles to adult female mule deer) for 36 herd units in Wyoming, USA from 1985-2019. Age ratios provide a consistent metric of population demographics, including an index of recruitment (survival rate of young), which can be a sensitive metric of population change. 
The dataset includes annual summaries of environmental attributes within each mule deer herd unit's winter use area. Attributes fall into 6 categories: forage availability, habitat composition, predation, winter severity, energy development, and disturbances from wildfire and habitat treatments.

Tags: biota, climate-change, demography, environment, forage, gas, grasslands, impacts-of-energy-production, land-use-change, mule-deer, natural-gas, north-america, odocoileus-hemionus, oil, petroleum, precipitation-atmospheric, recruitment, remediation, sagebrush-ecosystems, so-3362, ungulate, united-states, usgs-641ccfb7d34e807d39b65599, wind, wind-energy, winter-range, wlci, wyoming, wyoming-landscape-conservation-initiative
Organization: Department of the Interior
Cascade torrent salamander (Rhyacotriton cascadae) surveys in Oregon and Washington 2022

The US Fish and Wildlife Service (USFWS) is evaluating the status of the Cascade torrent salamander (Rhyacotriton cascadae) across its range to determine whether the species merits listing under the Endangered Species Act. The USGS conducted visual surveys for Rhyacotriton cascadae at 65 sites in Oregon and Washington that were historically occupied by the species. Sites were selected from a pool of historic records that had high locational precision, were spatially independent, and were stratified across 8 subbasins identified by USFWS as priorities. We visited sites one to two times between 4 May and 12 October in 2022 and documented all amphibian species observed during 1 hour time-constrained surveys. We also collected tail clip genetics samples from up to 5 individual R. cascadae at sites where the species was found. This dataset includes counts of all amphibians observed during each site survey, as well as habitat and water sampling covariates. All activities were authorized under a 2022 ODFW Scientific Taking Permit (049-22), a 2022 WDFW Scientific Collection Permit (22-024), and a USGS Forest and Rangeland Ecosystem Science Center Animal Care and Use Protocol (ACUP 2021-001).

Tags: amphibian, aquatic-biology, aquatic-habitat, aquatic-species, biota, cascade-range, clackamas-county, cowlitz-county, day, environment, habitats, inlandwaters, land-surface, lane-county, lewis-county, linn-county, marion-county, modern, native-species, oregon, riparian-areas, river, seep, side-channel, skamania-county, spring, stream, summer, thurston-county, usgs-641ca001d34e807d39b6547d, washington
Organization: Department of the Interior
Detrital zircon U-Pb data for Upper Triassic sandstones of the Auld Lang Syne basin, northwest Nevada, USA

This data release includes raw detrital zircon U-Pb data for isolated sandstones in Upper Triassic deposits of the Auld Lang Syne basin of northwest Nevada, USA. Detrital zircon U-Pb data for 11 sandstone samples (3269 zircon U-Pb dates) were acquired via LA-ICP-MS at the University of Arizona LaserChron Center for 11 sandstone samples. Primary insights from the data are twofold: 1) The data provide information about sediment provenance and indicate that sediment of the Auld Lang Syne basin was primarily derived from near the ancestral Ouachita orogen of Texas and Oklahoma. Sediment was transported to the Auld Lang Syne basin by a Late Triassic transcontinental river system, recorded today by the Upper Triassic Chinle and Dockum Groups of the southern continental interior region. 2) The youngest detrital zircon dates in each age distribution provide estimates of maximum depositional age. Maximum depositional ages are consistent with Late Triassic (Norian) deposition in the Auld Lang Syne basin, an age previously constrained by sparse invertebrate fossil data. This data release includes raw detrital zircon U-Pb data for isolated sandstones in Upper Triassic deposits of the Auld Lang Syne basin of northwest Nevada, USA. Detrital zircon U-Pb data for 11 sandstone samples (3269 zircon U-Pb dates) were acquired via LA-ICP-MS at the University of Arizona LaserChron Center for 11 sandstone samples. Primary insights from the data are twofold: 1) The data provide information about sediment provenance and indicate that sediment of the Auld Lang Syne basin was primarily derived from near the ancestral Ouachita orogen of Texas and Oklahoma. Sediment was transported to the Auld Lang Syne basin by a Late Triassic transcontinental river system, recorded today by the Upper Triassic Chinle and Dockum Groups of the southern continental interior region. 2) The youngest detrital zircon dates in each age distribution provide estimates of maximum depositional age. Maximum depositional ages are consistent with Late Triassic (Norian) deposition in the Auld Lang Syne basin, an age previously constrained by sparse invertebrate fossil data.

Tags: geochronology, geology, great-basin, late-triassic-epoch, mesozoic-era, nevada, norian-age, north-america, sedimentology, stratigraphy, triassic-period, usgs-641c7c43d34e807d39b6481b, zircon
Organization: Department of the Interior
Geochemistry of ferromanganese crusts, nodules, and hydrothermally altered rocks from the Arctic Ocean

Ferromanganese crusts, nodules, and hydrothermally altered rocks were collected via dredge within the Amerasia Basin in the Arctic Ocean during USCGC icebreaker Healy cruises HLY0805, HLY0905, and HLY1202 in 2008, 2009, and 2012 respectively. Dredged samples were donated and sent to USGS for subsampling and major and trace element geochemical analyses. Major and trace element data as well as location information (latitude, longitude, depth) for each sample are provided here.

Tags: assessments, chemical-analysis, cmhrp, coastal-and-marine-hazards-and-resources-program, dredge-sampling, earth-sciences, geochemistry, geoscientificinformation, global-ocean-mineral-resources, marine-geology, mass-spectroscopy, material-resources, metallic-mineral-resources, mineral-resources, nonliving-resources, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-chemical-features, sediment-geochemistry, u-s-coast-guard, u-s-geological-survey, uscg, usgs, usgs-641c78bcd34e807d39b647e7
Organization: Department of the Interior