AndreaBozzo/ceres-open-data-index huggingface dataset:
Occurrence data of the western bumble bee from 1998 to 2020 across the western United States.

These raw survey data and associated explanatory covariates were used to model western bumble bee occupancy across the western conterminous United States from 1998 to 2020. These data underlie the analyses found in the publication of “Recent and future declines of a historically widespread pollinator linked to climate, land cover, and pesticides” by Janousek et al. 2023 in the Proceedings of the National Academy of Sciences vol. 120, issue 5. The covariate data are provided in a scaled format for use in the occupancy model, and the scaling parameters used to transform the data to the original (real) scale are provided in the scaling information file.

Tags: arizona, biota, bombus-occidentalis, california, colorado, ecosystems, idaho, montana, nebraska, nevada, new-mexico, north-america, north-dakota, occurrence, oregon, pollinators, south-dakota, united-states, usgs-63f799f0d34e4f7eda45653e, utah, washington, western-bumble-bee, wildlife-biology, wyoming
Organization: Department of the Interior
Colorado River at Windy Gap near Granby, CO - 2022/06/13 Water Surface Velocity Map Using Particle Image Velocimetry

The dataset consists of a .csv and shapefile of measurements of surface velocity magnitude and direction at the Colorado River at Windy Gap near Granby, CO, on June 13, 2022. The dataset contains approximately 2 km of river length. The surface velocity measurements were made by applying Large-Scale Particle Image Velocimetry (LSPIV) techniques, using overlapping videos collected by small Unmanned Aircraft Systems (sUAS).  Additional attributes, including divergence, curl, shear, and strain, were calculated from the surface velocity measurements and are included in the dataset. This data is ideal for instantaneous discharge, shear, strain, and divergence, but less so for eddies and mean reach values.  This is because the frame rate of 30-frames-per-second more accurately profiles and averages instantaneous values seen during the capture interval as opposed to the stability of an eddy or representative mean values of a longer capture interval.

Tags: colorado-river, granby-co, remote-sensing, suas, usgs-63f784eed34e4f7eda4564b2, velocity, windy-gap
Organization: Department of the Interior
White sturgeon fine-scale habitat model archive, Kootenai River near Bonners Ferry, Idaho, 2017-2022

The two-dimensional (2D) hydraulic flow model iRIC FaSTMECH (Nelson, 2003) was used to simulate hydraulic conditions in the Kootenai River near Bonners Ferry, ID during white sturgeon spawning season during 2017, 2018, 2019, 2020, and 2022. Details on model development and calibration in FaSTMECH can be found in other studies (Dudunake and others, in progress; Barton and others, 2005; Barton and others, 2007; Logan and others, 2011; McDonald and others, 2016; McDonald and Nelson, 2018; McDonald and Nelson, 2020). Simulations were run with a 1-meter grid and six-hour time-steps from April 25 to August 15 of 2017, 2018, 2019, 2020, and 2022. Simulated depths and depth-averaged velocities were exported.

Tags: acoustic-doppler-current-profiling, aquatic-biology, bathymetry, biological-and-physical-processes, biota, bonners-ferry, boundary, climate-change, climatologymeteorologyatmosphere, digital-elevation-models, ecology, ecosystem-functions, elevation, endangered-species, environment, food-web, geoscientificinformation, geospatial-analysis, hydraulic-engineering, idaho, inlandwaters, kootenai, land, lidar, location, lower-kootenai, mathematical-modeling, modeling, multibeam-sonar, north-america, pacific-northwest, sediment-transport, sedimentation, stream-gage-measurement, study-areas, surface-water-level, time-series-datasets, united-states, usgs-63f69791d34e4f7eda45416f
Organization: Department of the Interior
Hydraulic assessment summary at selected real-time pier scour monitoring sites in Idaho, 2020–2022

To observe real-time pier scour at three scour-critical sites in Idaho, the U.S. Geological Survey, in cooperation with Idaho Transportation Department, installed and operated fixed real-time (15-minute interval) bed elevation scour sonar sensors at three bridge locations associated with U.S. Geological Survey streamflow gaging stations for water years 2020 through 2022. Observed pier scour data during spring runoff (water years 2020–22) were compared to both Coarse Bed and Hydraulic Engineering Circular 18 (HEC-18) general pier scour design equation estimates to better understand how the observed pier scour data compared to design pier scour equation estimates during the same observational periods. As part of the larger study, site-specific geomorphic data and other observations were collected during a single visit to each bridge. Geomorphic data collected during each visit included a Wolman pebble count (Wolman, 1954) to define the median diameter of the streambed material, an estimate of the flow angle of attack (during peak flow conditions), an assessment of pier shape and dimensions, observations of the floodplain, and observations of bridge scour countermeasures. In addition, a GNSS site survey was completed to update the gage datum water surface elevations and determine the elevation of each bridge structure (road deck and low chord elevations). Real-time (15-minute) hydrologic data were available at each USGS streamflow gaging station (both prior to and during this study) and included real-time discharge and water-surface elevation data (U.S. Geological Survey, 2016, 2024a, 2024b, 2024c). The historic USGS discharge measurement data were used to develop peak flow velocity estimates at each site where the velocity is depth averaged over the cross-section. For each peak flow, the velocity was linearly interpolated using observed measurement data collected from each bridge. Depth for each peak flow condition was computed using the difference between the water surface elevation and the computed channel bed elevation at each site. Geomorphic site surveys provided site specific parameters required for the hydraulic assessment.

Tags: biota, canyon, elevation, environment, floods, gem, geoscientificinformation, geospatial-analysis, hydraulic-engineering, hydrologic-processes, inlandwaters, land, lidar, location, lower-boise, lower-kootenai, north-america, pacific-northwest, payette, scour, sediment-transport, sedimentation, shoshone, st-joe, stream-discharge, stream-gage-measurement, streamflow, study-areas, surface-water-level, time-series-datasets, transportation, united-states, usgs-63f66ec5d34e4f7eda454049
Organization: Department of the Interior
Data on separated and dead foals from Conger and Frisco Herd Management Areas, Utah, USA, between 2017 and 2020

We studied factors affecting separation of feral horse foals from their mothers and foal mortality, including variables such as group changes by the mother and behavior of the foal. We include data on feral horse foals that died or were separated, and their siblings. We conducted this study between 2017 and 2020 at two Herd Management Areas (HMAs) in western Utah, USA: Conger and Frisco. We conducted demographic observations year round at both HMAs to record group composition and foaling rate. We additionally recorded behavioral observations for a subset of foals at Conger HMA annually between March and September. 
This dataset includes 2 .csv files:
Data_foals_dead_separated_siblings.csv - These data contain 52 unique foals across Conger and Frisco HMAs with associated data on mother and group parameters.
Behavior_foals_dead_separated_sibs.csv - These data contain behavioral observations recorded on 15 foals just in Conger HMA.

Tags: animal-behavior, biota, conger-mountain, equus, feral-horse, foal, frisco-peak, mortality, usgs-63f64d70d34e4f7eda453f73, utah, wild-horse
Organization: Department of the Interior
Humpback chub (Gila cypha) capture histories and growth data for two areas in the Colorado River network from 2009-2022 and 2017-2022

These data were compiled for a manuscript entitled 'Vital rates of a burgeoning population of Humpback Chub in western Grand Canyon. Objective(s) of our study were to compare survival and growth of humpback chub in western Grand Canyon to that from the more established metapopulation in eastern Grand Canyon that spawns in the Little Colorado River (LCR). These data represent capture histories of fish based on mark-recapture data. These data were collected in eastern Grand Canyon (CR-east study site) and in the western Grand Canyon (CR-west study site). The CR-east reach sites are located at the lower 13.56 rkm of the LCR and in the mainstem of the Colorado River at river kilometers (rkm) 126.2-128.7 (2009-2016) and was expanded to rkm 125-130.4 in 2017-2022, and the CR-west site is located 363-368.5 river kilometers downstream of Glen Canyon Dam. For the Von Bertalanffy growth analysis, data were collected from 330-410 rkm downstream of Glen Canyon Dam for capture histories and growth data, respectively. These data were collected by the Grand Canyon Monitoring and Research Center (U.S. Geological Survey-Southwest Biological Science Center) and U.S. Fish and Wildlife Service. Fish were implanted with passive integrated transponder (PIT) tags that allowed for individual identification upon future recapture and these data allow us to construct capture histories for individual fish and fit mark-recapture models. These data can be used to estimate survival, growth, abundance, and movement of humpback chub in eastern and western Grand Canyon.

Tags: abundance, arizona, asymptotic-sizes, biota, capture-histories, colorado-river, data-release, eastern-grand-canyon, ecological-processes, field-inventory-and-monitoring, field-monitoring-stations, field-sampling, fish, fish-capture, fit-mark-recapture-models, glen-canyon-dam, grand-canyon, grand-canyon-monitoring-and-research-center, growth-analysis, growth-data, growth-rates, humpback-chub, individual-fish-models, little-colorado-river, long-term-ecological-monitoring, mark-recapture-data, metapopulation, migration-organisms, modeling, movement, multistate-model, organism-growth-and-development, passive-integrated-transponder-tags, pit-antennas, population-and-community-ecology, relative-abundance-analysis, size-measurements, southwest-biological-science-center, survival, u-s-fish-and-wildlife-service, usgs-63f64ba4d34e4f7eda453f65, vital-rates, water-temperature, western-grand-canyon
Organization: Department of the Interior
Fish communities in Shenandoah Valley streams, 2021

From 16 June to 30 July, 2021, a Virginia Tech team of 4-6 sampled the fish community in 30 Shenandoah Valley streams (Virginia and West Virginia, USA) as part of a larger stream-health study including other teams who surveyed geomorphology, water quality, flow, temperature, macroinvertebrates, and fish health at the same 30 streams. The fish community team also sampled three additional bonus streams (SiteID's FOLL, NAKE, and TUMB) during 19-22 August, 2021. These 33 streams had upstream drainage areas of 7 to 46 sq. km and included 4 James River tributaries (SiteID's POAG, MLRB, CEDR, PISG), 1 Potomac River tributary (HARL), and 28 Shenandoah River tributaries. At each stream, we sampled fish from two reaches using two-pass backpack electrofishing and seining. Reach A was the main reach surveyed by all the interdisciplinary teams; Reach B was surveyed for fish communities only. Reach length was 20 wetted channel widths, capped at 150 meters. Fish were identified to species, assigned to a length class, inspected for anomalies, and released. Other measurements included water temperature, electrical conductivity, and clarity, and percent of the reach comprising pool, riffle, and run habitats.

Tags: augusta, berkeley, biota, clarke, community-ecology, farming, field-sampling, fish, freshwater-ecosystems, jefferson, maury, potomac, river-systems, rockbridge, rockingham, shenandoah, united-states, usgs-63f53ef9d34efa0476b04ecd, virginia, warren, west-virginia
Organization: Department of the Interior
Fecal bacteria and microbial source tracking marker data in the Rio Grande, Albuquerque, New Mexico 2017-2020

The dataset includes a subset of Escherichia coli concentrations collected by the Bosque Ecosystem Monitoring Program in the Middle Rio Grande in Albuquerque, NM, from 2017 to 2020. The original data are available at https://github.com/BEMPscience/bemp_data and https://github.com/BEMPscience/bemp_data.

Tags: albuquerque, bacteria, biota, escherichia-coli, new-mexico, rio-grande, usgs-63f29d08d34efa0476b04067
Organization: Department of the Interior
Landsat Burned Area Products Collection 2 Data Release (ver. 3.0, March 2025)

The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in temporally-dense time series of Landsat Analysis Ready Data (ARD) scenes to produce the Landsat Burned Area Products. The algorithm makes use of predictors derived from individual ARD Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions. Scene-level products include pixel-level burn probability (BP) and burn classification (BC) images, corresponding to each Landsat image in the ARD time series. Annual composite products are also available by summarizing the scene level products. Prior to generating annual composites, individual scenes that had &gt; 0.010 burned proportion were visually assessed as part of a quality assurance check. Scenes with obvious commission errors were removed. The annual products include the maximum burn probability (BP), burn classification count (BC) or the number of scenes a pixel was classified as burned, filtered burn classification (BF) with burned areas persistent from the previous year removed, and the burn date (BD) or the Julian date of the first Landsat scene a burned areas was observed in. Vectorized versions of the BF raster are also provided as shapefiles (BF_labeled) with attributes including summary statistics of BC, BD, BP, as well as the majority level 3 ecoregion (Omernik and Griffith, 2014) and count of pixels by each National Land Cover Database Category (Vogelmann et al., 2001; Yang et al., 2018) for each burned area polygon. These products were generated for the conterminous United States for 1984 through 2021 individually for each collection 1 Landsat TM (5), Landsat ETM+ (7), OLI/TIRS (8 and 9), and for all sensors combined. The products for each sensor combination and year are contained in a compressed tar file. Collection 1 burned area products for 1984 - 2021 are available through the USGS Science Base Catalog (https://doi.org/10.5066/P9QKHKTQ) and also at https://gec.cr.usgs.gov/outgoing/baecv/LBA/LBA_CU_C01_V01/. Starting in 2022, processing switched to the collection 2 Landsat ARD data.  This data release provides annual burned area composited for 2022-2024 based on the collection 2 Landsat ARD data for the conterminous United States for Landsat ETM+ (7), OLI/TIRS (8 and 9), and for all sensors combined. Additional details about the algorithm used to generate these products are described in Hawbaker, T.J., Vanderhoof, M.K., Schmidt, G.L., Beal, Y, Takacs, J.D., Falgout, J.T., Picotte, J.J., and Dwyer, J.L. 2020. The Landsat Burned Area algorithm and products for the conterminous United States. Remote Sensing of Environment, Vol. 244, https://doi.org/10.1016/j.rse.2020.111801

Tags: burned-area, fires, landsat, prescribed-fire, usgs-63f101f3d34efa0476b03d64, wildfire, wildland-fire
Organization: Department of the Interior
Inundation metrics by 10-km bend, Lower Missouri River Floodplain

This is a shapefile of points summarizing inundation metrics and geomorphic variables for bends in the downstream-most 800 km of the Lower Missouri River. Points are located at the centroids of 10-km bends of the river. The metrics were developed through analysis of inundation maps calculated from a 1-dimensional hydraulic model for the channel and floodplain. Water-surface elevations were extended across the valley bottom and intersected with lidar-derived floodplain topography to calculate inundation depth and extent on a daily basis. Detailed methods are documented in Bulliner and others (2017). We evaluated longitudinal spatial variation by aggregating floodplain inundation estimates by Thiessen polygons centered at 1-km address points along the Lower Missouri River channel navigation line and extending to the valley walls. The Thiessen polygons sample the area of the floodplain so that the attributes within the polygon are geometrically closest to the address point. These data were then aggregated into 10-km reaches to associate inundation metrics (in average hectare-days per year) with potential explanatory variables that had been developed in previous studies (Jacobson and others, 2017; Jacobson and others, 2018). The explanatory variables in the dataset quantify hypothesized physical controls on inundation at the 10-km reach scale; that is, they do not include fine-scale details of bathymetry or topography. We summarized the inundation metrics for the existing conditions, wherein only floodplain area river-ward of the levees (batture area) is inundated, and for the entire floodplain, for both historical daily discharges (1930 – 2012) and for the future-climate-adjusted daily discharge scenario for the same time series.  The data are summarized as point attributes in the released shapefile. 
Bulliner, E.A., Lindner, G., Bouska, K., Jacobson, R.B., and Paukert, C., 2017, Science to Inform Management of Floodplain Conservation Lands under Non-Stationary Conditions U.S. Geological Survey Data Release, https://doi.org/10.5066/F7HM56KG. 
Jacobson, R.B., Elliott, C.M., and Bulliner, E.A., 2017, Missouri River bend classification data sets: U.S. Geological Survey Data Release, U.S. Geological Survey data release, https://doi.org/10.5066/F7FF3R9D. 
Jacobson, R.B., Colvin, M.E., Bulliner, E.A., Pickard, D., and Elliott, C.M., 2018, Bend-scale geomorphic classification and assessment of the Lower Missouri River from Sioux City, Iowa, to the Mississippi River for application to pallid sturgeon management 2018-5069, 46 p., https://doi.org/10.3133/sir20185069.

Tags: climate-change, floodplains, geomorphology, habitats, hydrology, inlandwaters, iowa, kansas, missouri, nebraska, usgs-63efeb3dd34efa0476b03960
Organization: Department of the Interior
Data Release for Luminescence: Butler Cave, Burnsville Cove, Bath and Highland Counties, VA

Burnsville Cove in Bath and Highland Counties (Virginia, USA) is a karst region in the Valley and Ridge Province of the Appalachian Mountains. The region contains many caves in Silurian to Devonian limestone, and is well suited for examining geologic controls on cave location and cave passage morphology. In Burnsville Cove, many caves are located preferentially near the axes of synclines and anticlines. For example, Butler Cave is an elongate cave where the trunk channel follows the axis of Sinking Creek syncline and most of the side passages follow joints at right angles to the syncline axis. In contrast, the Water Sinks Subway Cave, Owl Cave, and Helictite Cave have abundant maze patterns, and are located near the axis of Chestnut Ridge anticline. The maze patterns may be related to fact that the anticline axis is the site of the greatest amount of flexure, leading to more joints and (or) greater enlargement of joints. Many of the larger caves of Burnsville Cove (e.g., Breathing Cave, Butler Cave–Sinking Creek Cave System, lower parts of the Water Sinks Cave System) are developed in the Silurian Tonoloway Limestone, the stratigraphic unit with the greatest surface exposure in the area. Other caves are developed in the Silurian to Devonian Keyser Limestone of the Helderberg Group (e.g., Owl Cave, upper parts of the Water Sinks Cave System) and in the Devonian Shriver Chert and (or) Licking Creek Limestone of the Helderberg Group (e.g., Helictite Cave). Within the Tonoloway Limestone, the larger caves are developed in the lower member of the Tonoloway Limestone immediately below a bed of silica-cemented sandstone. In contrast, the larger caves in the Keyser Limestone are located preferentially in limestone beds containing stromatoporoid reefs, and some of the larger caves in the Licking Creek Limestone are located in beds of cherty limestone below the Devonian Oriskany Sandstone. Geologic controls on cave passage morphology include joints, bedding planes, and folds. The influence of joints results in tall and narrow cave passages, whereas the influence of bedding planes results in cave passages with flat ceilings and (or) floors. The influence of folds is less common, but a few cave passages follow fold axes and have distinctive arched ceilings.

Tags: age-estimation-methods, bath-county, burnsville-cove, butler-cave, geochronology, highland-county, luminescence-dating, optically-stimulated-luminescence, radiation-dosimetry, usgs-63efd2c5d34efa0476b03906, utilitiescommunication, virginia
Organization: Department of the Interior
Piping plover breeding habitat selection in the Northern Great Plains, USA, 2014 – 2019

We present a tabular data set representing values used to evaluate hypotheses of breeding habitat selection for immigrants and returning Northern Great Plains piping plovers (Charadrius melodus) from 2014 – 2019. The associated manuscript uses network analysis approach to evaluate five hypotheses of habitat selection. In this approach breeding locations were nodes and successive year breeding attempts form the edges (immigration) and self-loops (fidelity). Included in the dataset are covariates of habitat amount, conspecific density, and habitat quality, as well as other fields used in the analysis. In addition, we include descriptive breeding location-specific metrics from the network graphs.

Tags: biota, birds, dispersal-organisms, endangered-species, habitats, lake-oahe, lake-sakakawea, missouri-coteau, missouri-river, montana, nests, north-dakota, population-and-community-ecology, population-ecology, river-systems, south-dakota, usgs-63efb390d34efa0476b0385f, wildlife-biology, wildlife-population-management
Organization: Department of the Interior
Model code, outputs, and supporting data for approaches to process-guided deep learning for groundwater-influenced stream temperature predictions

This model archive provides all data, code, and modeling results used in Barclay and others (2023) to assess the ability of process-guided deep learning stream temperature models to accurately incorporate groundwater-discharge processes. We assessed the performance of an existing process-guided deep learning stream temperature model of the Delaware River Basin (USA) and explored four approaches for improving groundwater process representation: 1) a custom loss function that leverages the unique patterns of air and water temperature coupling resulting from different temperature drivers, 2) inclusion of additional groundwater-relevant catchment attributes, 3) incorporation of additional process model outputs, and 4) a composite model. The associated manuscript examines changes in the predictive accuracy, feature importance, and predictive ability in un-seen reaches resulting from each of the four approaches. This model archive includes four zipped folders for 1) Data Preparation, 2) Model Code, 3) Model Predictions, and 4) the catchment attributes that were compiled for reaches in the study area. Instructions for running data preparation and modeling code can be found in the README.md files in 01_Data_Prep and 02_Model_Code respectively. File dictionaries have also been included and serve as metadata documentation for the files and datasets within the four zipped folders.

Tags: de, deep-learning, delaware, environment, explainable-ai-xai, groundwater, hybrid-modeling, inlandwaters, machine-learning, maryland, md, modeling, new-jersey, new-york, nj, ny, pa, pennsylvania, process-guided-deep-learning, stream-temperature, temperature, united-states, us, usgs-63efb2c5d34efa0476b03854, water, water-resources
Organization: Department of the Interior