AndreaBozzo/ceres-open-data-index huggingface dataset:
U.S. Geological Survey and U.S. Army Corps of Engineers Bathymetric Survey of Lake Koocanusa, Lincoln County, Montana, 2016—2018

In 2016, the U.S. Army Corps of Engineers (USACE) started collecting high-resolution multibeam echosounder (MBES) data on Lake Koocanusa. The survey originated near the International Boundary (River Mile (RM) 271.0) and extended down the reservoir, hereinafter referred to as downstream, about 1.4 miles downstream of the Montana 37 Highway Bridge near Boulder Creek (about RM 253). USACE continued the survey in 2017, completing a reach that extended from about RM 253 downstream to near Tweed Creek (RM 244.5). In 2018, the U.S. Geological Survey (USGS) Idaho Water Science Center completed the remaining portion of the reservoir from RM 244.5 downstream to Libby Dam (RM 219.9). The MBES data collected in 2016 and 2017 by the USACE was combined with the MBES data collected in 2018 by the USGS. The USGS also developed an elevation-area-capacity table at one-foot intervals from the minimum pool elevation (2,290.84 ft) to the maximum pool elevation (2462.84 ft) using the new bathymetry data. The updated stage-capacity table will be compared to the current usable storage estimate of 4,979,500 acre-feet and published in a USGS Scientific Investigations Report. A 10-ft digital elevation model (DEM) and minimum and maximum pool contours also were generated from the bathymetric data and are provided in this data release.

Tags: bathymetry, bathymetry-measurement, contouring, dam-sites, digital-elevation-models, elevation, erosion, gaging-stations, geospatial-analysis, geospatial-datasets, gps-measurement, hypack, hysweep, inlandwaters, kootenai, kootenai-pend-oreille-spokane, land-surveying, lidar, lincoln, location, montana, multibeam-sonar, pacific-northwest, reference-locations, reservoirs, sedimentation, spatial-analysis, territorial-waters, topographic-maps, topography, united-states, upper-kootenai, usgs-5f3d6d4e82ce8df5b6c72225
Organization: Department of the Interior
Lake Koocanusa Maximum and Minimum Pool Elevation Contours, Lincoln County, Montana

In 2016, the U.S. Army Corps of Engineers (USACE) started collecting high-resolution multibeam echosounder (MBES) data on Lake Koocanusa. The survey originated near the International Boundary (River Mile (RM) 271.0) and extended down the reservoir, hereinafter referred to as downstream, about 1.4 miles downstream of the Montana 37 Highway Bridge near Boulder Creek (about RM 253). USACE continued the survey in 2017, completing a reach that extended from about RM 253 downstream to near Tweed Creek (RM 244.5). In 2018, the U.S. Geological Survey (USGS) Idaho Water Science Center completed the remaining portion of the reservoir from RM 244.5 downstream to Libby Dam (RM 219.9). The MBES data collected in 2016 and 2017 by the USACE was combined with the MBES data collected in 2018 by the USGS. The USGS also developed an elevation-area-capacity table at one-foot intervals from the minimum pool elevation (2,290.84 ft) to the maximum pool elevation (2462.84 ft) using the new bathymetry data. The updated stage-capacity table will be compared to the current usable storage estimate of 4,979,500 acre-feet and published in a USGS Scientific Investigations Report. A 10-ft digital elevation model (DEM) and minimum and maximum pool contours also were generated from the bathymetric data and are provided in this data release.

Tags: bathymetry, bathymetry-measurement, contouring, dam-sites, digital-elevation-models, elevation, erosion, gaging-stations, geospatial-analysis, geospatial-datasets, gps-measurement, hypack, hysweep, inlandwaters, kootenai, kootenai-pend-oreille-spokane, land-surveying, lidar, lincoln, location, montana, multibeam-sonar, pacific-northwest, reference-locations, reservoirs, sedimentation, spatial-analysis, territorial-waters, topographic-maps, topography, united-states, upper-kootenai, usgs-5f3d6d9982ce8df5b6c7222b
Organization: Department of the Interior
Lake Koocanusa Digital Elevation Model (DEM), Lincoln County, Montana

In 2016, the U.S. Army Corps of Engineers (USACE) started collecting high-resolution multibeam echosounder (MBES) data on Lake Koocanusa. The survey originated near the International Boundary (River Mile (RM) 271.0) and extended down the reservoir, hereinafter referred to as downstream, about 1.4 miles downstream of the Montana 37 Highway Bridge near Boulder Creek (about RM 253). USACE continued the survey in 2017, completing a reach that extended from about RM 253 downstream to near Tweed Creek (RM 244.5). In 2018, the U.S. Geological Survey (USGS) Idaho Water Science Center completed the remaining portion of the reservoir from RM 244.5 downstream to Libby Dam (RM 219.9). The MBES data collected in 2016 and 2017 by the USACE was combined with the MBES data collected in 2018 by the USGS. The USGS also developed an elevation-area-capacity table at one-foot intervals from the minimum pool elevation (2,290.84 ft) to the maximum pool elevation (2462.84 ft) using the new bathymetry data. The updated stage-capacity table will be compared to the current usable storage estimate of 4,979,500 acre-feet and published in a USGS Scientific Investigations Report. A 10-ft digital elevation model (DEM) and minimum and maximum pool contours also were generated from the bathymetric data and are provided in this data release.

Tags: bathymetry, bathymetry-measurement, contouring, dam-sites, digital-elevation-models, elevation, erosion, gaging-stations, geospatial-analysis, geospatial-datasets, gps-measurement, hypack, hysweep, inlandwaters, kootenai, kootenai-pend-oreille-spokane, land-surveying, lidar, lincoln, location, montana, multibeam-sonar, pacific-northwest, reference-locations, reservoirs, sedimentation, spatial-analysis, territorial-waters, topographic-maps, topography, united-states, upper-kootenai, usgs-5f3d6dba82ce8df5b6c7222d
Organization: Department of the Interior
Avalanche occurrence records along the Going-to-the-Sun Road, Glacier National Park, Montana from 2003-2023 (ver. 3.0, July 2023)

Starting in 2003, the U.S. Geological Survey (USGS) Northern Rocky Mountain Science Center in West Glacier, MT, in collaboration with the National Park Service, collected avalanche observations along the Going to the Sun Road during the spring road-clearing operations. The spring road-clearing along Going to the Sun Road utilized a team of avalanche specialists from the USGS and Glacier National Park to communicate the potential avalanche hazard to crews working to clear the road of snow in preparation for summer visitation. The operations typically begin around April 1st and continue through mid-June each year. The dataset includes all of the specific details collected for each avalanche occurrence and conforms to SWAG (American Avalanche Association, 2016. Snow, Weather and Avalanches: Observation Guidelines for Avalanche Programs in the United States (3rd ed). Victor, ID). The records should be viewed as estimates of avalanche characteristics due to the fact that many of the avalanches are too distant or are too dangerous to accurately assess.

Tags: ccme-avalanche, climatologymeteorologyatmosphere, cryosphere, environment, field-inventory-and-monitoring, geomorphology, glacier-national-park, going-to-the-sun-road, montana, north-west-montana, snow, snow-and-ice-cover, snow-avalanche, united-states, usgs-5f3d89b082ce8df5b6c73f59
Organization: Department of the Interior
Radioisotopic data from USGS laboratory in St. Petersburg, Florida

Specific activities of cesium-137 (half life  = 30.17 years), lead-210 (half life = 22.3 years), radium-226 (half life = 1,600 years), thorium-234 (half life = 24.1 days), and potassium-40 (half life = 1.277 billion years) in disintegrations per minute per gram (dpm/g) were determined for the Lake Lanier cores. The laboratory errors (plus or minus) and the critical levels are included for each sample.

Tags: cesium-137, georgia, gwinnett-county, inlandwaters, lake-sidney-lanier, lead-210, potassium-40, radiometric-dating, radium-226, thorium-234, usgs-5f49215182ce4c3d122b2a80
Organization: Department of the Interior
Data associated with toxicant applications for brown treesnake control

This file describes three datasets used to evaluate individual traits in brown treesnakes and how they affect susceptibility to toxicant applications. This file references three data sets that include 'Guam GROUND', SURVTOX', and 'HMU NWFN TRT.' Guam GROUND reference to snakes encountered during visual surveys on Guam and whether they were located on the ground or arboreal. SURVTOX refers to a known fate study of telemetered snakes that either survived or died during an application of toxic baits. HMU NWFN TRT refers to the demography of snakes captured pre and post-toxicant treatment. The specific details of toxicant treatments and survey methods are described in the associated manuscript: Nafus et al. 2019. Behavior, size, and body condition predict susceptibility to management and reflect post-treatment frequency shifts in an invasive snake. Global Ecology and Conservation: 21: e00834.

Tags: aerial-toxicant-delivery-system, biota, brown-treesnake, guam, usgs-5f3da15a82ce8df5b6c7402b
Organization: Department of the Interior
Waipunalei Beetle Trap Data

These data contain the longhorn beetle (Coleoptera: Cerambycidae) and ambrosia beetle (Coleoptera: Scolytinae) trap data collected at Waipunalei, Hawaii Island.

Tags: ambrosia-beetles, environment, hawaii, hawaii-island, ohia-lehua, rapid-ohia-death, usgs-5f3ee64882ce8df5b6c8edd0
Organization: Department of the Interior
Beetle Gallery Count Data

These data contain the counts of ambrosia beetle galleries on felled ʻōhiʻa trees and the heights and diameters at which the galleries were observed.

Tags: beetle-frass, environment, hawaii, hawaii-island, management, ohia-lehua, passive-environmental-samplers, rapid-ohia-death, usgs-5f3ee96682ce8df5b6c8f8b1
Organization: Department of the Interior
Surface velocity data acquired from QCam (drone-based Doppler velocity radar) for the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska

This dataset contains data collected during science flights using the drone-based QCam, which is a Doppler (velocity) radar designed to measure surface velocity and compute river discharge when channel bathymetry is known. Five science flights were conducted on four rivers including the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska. Data are presented in a comma separated values (CSV) file.

Tags: alaska, colorado, depth, drone, north-america, remote-sensing, river-discharge, small-unmanned-aircraft-system, suas, united-states, usgs-5f3f0a0882ce8df5b6c8fa7b, velocity
Organization: Department of the Interior
Insecticide Beetle Gallery Count Data

These data contain the number of beetle attacks on the cut surface ʻōhiʻa bolts that were either treated with Bifen IT insecticide (Bifenthrin 7.9%) or left untreated.

Tags: beetle-frass, environment, hawaii, hawaii-island, management, ohia-lehua, passive-environmental-samplers, rapid-ohia-death, usgs-5f3f5da182ce8df5b6c95d08
Organization: Department of the Interior
Pre-Amplifcation qPCR Ceratocystis DNA Detections

The data contain the raw quantitative polymerase chain reaction (qPCR) results after pre-amplification by polymerase chain reaction for all Ceracystis lukuohia and huliohia testing of environmental DNA (eDNA) collected in Passive Environmental Samplers (PES).

Tags: environment, frass-traps, hawaii, hawaii-island, ohia-lehua, rapid-ohia-death, usgs-5f3f5f1182ce8df5b6c95d11
Organization: Department of the Interior
Wood and Frass Counts

These data contain the frass and wood particle presence information which was collected using Passive Environmental Samplers at Waipunalei. Frass is defined as boring dust created by ambrosia beetles (Coleoptera: Scolytinae) during tunnel excavation which includes fine sawdust material, beetle feces, and dead beetle body parts.

Tags: environment, frass-traps, hawaii, hawaii-island, ohia-lehua, rapid-ohia-death, usgs-5f3f60fa82ce8df5b6c95d1a
Organization: Department of the Interior
Input and results from a boosted regression tree (BRT) model relating base flow nitrate concentrations in the Chesapeake Bay watershed to catchment characteristics (1970-2013)

This data release contains a boosted regression tree (BRT) model (written in the R programming language), and the input and output data from that model that were used to relate base flow nitrate concentrations in the Chesapeake Bay watershed to catchment characteristics. The input data consists of two types of information: 1) surface water nitrate concentrations collected by the USGS and partnering agencies in the Chesapeake Bay watershed between 1970 and 2013 and 2) potential predictor variables that included nitrogen sources, catchment characteristics, soil and groundwater chemistry, soil drainage and composition, and aquifer geology. The results from the BRT model were used to identify ten significant predictors of base flow nitrate concentrations in streams in the Chesapeake Bay watershed.

Tags: nutrient-content-water, surface-water-quality, usgs-5f4044fd82ce8df5b6cb43fd
Organization: Department of the Interior
Distribution of particle size in suspension at various depths from San Pablo Bay and Grizzly Bay, California, 2019

These data present suspended particle size distributions collected by the U.S. Geological Survey (USGS) Pacific Coastal and Marine Science Center within two embayments of San Francisco Bay. Data were collected at one site in San Pablo Bay and one site in Grizzly Bay   from June through August 2019, by deploying a Sequoia Scientific Laser In-situ Scattering and Transmissometry instrument (LISST 100x) from a small vessel near pre-established USGS instrument moorings. At both sites, data were collected on six dates at three depths, generally near the water surface, at mid depth, and near the sediment bed, for 1-3 minutes at each depth. LISST volume concentrations are most accurate when the optical percent transmission is above 30, as light passing through the sample volume is unlikely to be scattered by more than one particle. One file (ERO19PBP04) was removed due to poor data quality throughout the file. These files contain all samples collected; judgment should be applied when using them. Users are advised to check metadata and instrument information carefully for applicable time periods of specific data.

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, grizzly-bay, marine-geology, marine-water-quality, oceans, pacific-coastal-and-marine-science-center, pcmsc, san-francisco-bay, san-pablo-bay, sediment, shallow-water-habitat, state-of-california, suspended-material-water, suspended-sediment-concentration, tidal-shallows, u-s-geological-survey, usgs, usgs-5f40599882ce8df5b6cb4a03, water-quality-parameters
Organization: Department of the Interior
Grain size, bulk density, and organic carbon of sediment cores from San Pablo Bay and Grizzly Bay, California, 2019

Bed sediment samples were collected in San Pablo Bay and Grizzly Bays on eight days from June through November 2019, to analyze for sediment properties including bulk density, particle size distribution, and percent organic carbon. Sediment samples were collected from a small vessel near pre-established USGS instrument moorings using a Gomex box corer   that was subsampled with three push cores (37 mm in diameter) per Gomex core. Six subsamples were collected from the top 5 centimeters (cm) of each push core, a few push cores included the top 8 cm. The top two subsamples were each 0.5 cm thick, and all following subsamples were each 1 cm thick. Push core samples from the first, third, and fifth centimeter depth were analyzed for grain size and percent organic carbon, while all 6 sections were analyzed for bulk density. Data are provided in a comma-delimited values spreadsheet. These data were collected as part of a collaborative project with the USGS California Water Science Center and the USGS Water Mission Area on physical and biological controls on sediment erodibility, funded by the USGS Priority Ecosystems Program for San Francisco Bay and Delta and the USGS Coastal Marine Hazards and Resources Program.

Tags: bulk-density, carbon, cmhrp, coastal-and-marine-hazards-and-resources-program, dissolved-organic-compounds, grab-sampling, grain-size-analysis, grizzly-bay, oceans, pacific-coastal-and-marine-science-center, pcmsc, push-coring, san-francisco-bay, san-pablo-bay, sea-floor-characteristics, sediment, sediment-transport, state-of-california, substrate, u-s-geological-survey, unconsolidated-deposits, usgs, usgs-5f405a0e82ce8df5b6cb4b28
Organization: Department of the Interior
Cyanobacterial toxin effects on inflammatory response of human toll-like receptors (TLRs)

Various stressors including temperature, environmental chemicals and toxins can have profound impacts on immunity to pathogens. It is believed that increased eutrophication near rivers and lakes coupled with climate change are predicted to lead to increased algal blooms. Currently, the effects of cyanobacterial toxins on disease resistance in mammals is a largely unexplored area of research. Importantly, recent studies have suggested that freshwater cyanotoxins can elicit immunomodulation through interaction with specific components of innate immunity thus potentially altering disease susceptibility parameters for fish, wildlife and human health owing to the conserved nature of the vertebrate immune system. In this study, we investigated the effects of three microcystin congeners (LR, LA and RR), nodularin-R and cylindrospermopsin for their ability to directly interact with 9 different human toll-like receptors—key pathogen recognition receptors for innate immunity. Toxin concentrations were verified by LC/MS/MS prior to use. Using an established HEK293-hTLR NF-κB reporter assay, we concluded that none of the tested toxins (26-78 nM final concentration) directly interacted with human TLRs in either an agonistic or antagonistic manner. These results suggest that earlier reports of cyanotoxin-induced NF-κB responses likely occur through different surface receptors to mediate inflammation.

Tags: biota, cyanobacteria, immunomodulation, toll-like-receptor, usgs-5f405fe382ce8df5b6cb527c
Organization: Department of the Interior
Suspended sediment concentrations from water samples collected in San Pablo Bay and Grizzly Bay  , California, 2019

Water samples were collected in San Pablo Bay and Grizzly Bay on five days from June through August 2019. The   water samples were collected near pre-established USGS instrument moorings with a peristaltic pump or via a Niskin bottle, deployed off of a small vessel. Data are provided in a comma-delimited values spreadsheet.

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, field-sampling, grizzly-bay, marine-water-quality, oceans, pacific-coastal-and-marine-science-center, pcmsc, san-francisco-bay, san-pablo-bay, state-of-california, suspended-material-water, u-s-geological-survey, usgs, usgs-5f407b6682ce8df5b6cb71a4, water-quality-parameters, water-sampling
Organization: Department of the Interior
Lake Lanier Biogenic silica

Biogenic silica concentration profiles (in weight percent) for 10 bed sediment cores are shown. Precision and bias were determined by analyses of replicates and reference sediments, respectively.

Tags: biogenic-silica, georgia, gwinnett-county, inlandwaters, lake-sidney-lanier, sediment, usgs-5f4921db82ce4c3d122b2ef1
Organization: Department of the Interior
Data on prairie dog densities, flea abundance, and plague epizootics in Montana and Utah, USA

Data on prairie dog densities, flea abundance on prairie dogs, and plague epizootics in Montana and Utah, USA, 2003-2005. Prairie dog species (PDspecies in the data file) included black-tailed prairie dogs (PDs) (BTPD, Cynomys ludovicianus) in north-central Montana, white-tailed PDs (WTPD, Cynomys leucurus) in eastern Utah, and Utah PDs (UPD, Cynomys parvidens) in southwestern Utah. Field research was completed by the U.S. Geological Survey, Fort Collins Science Center, and colleagues.  
We used summertime visual counts as an index to PD densities (Pddensity in the data file). For each plot, we counted PDs using binoculars and/or spotting scopes from a single location outside the plot that gave the best view of the entire plot and repeated these counts on three (usually consecutive) days. We began counts just after sunrise and continued to conduct repeated systematic scans of the plot until the counts declined to about half the peak number (usually by late morning as PDs went below ground for their typical mid-day break). We converted  the counts to density estimates (counts per hectare [ha]).The estimate we used to calculate density was the highest count obtained from a plot for the 3 days within a given year. We analyzed data from colonies experiencing a plague epizootic during this particular study (with an epizootic defined as greater than or equal to 90% decline in PD density). We indexed annual population change (PDpopchgProportion in the data file) by subtracting the count density estimate of the year before a plague epizootic (t1) from the density estimate during an epizootic  (t2) for each plot, and dividing that by the  density estimate from t1 to summarize population change as a proportionate change. 
We evaluated the correlation between PD population change and PD density in year t1, because negative plague-effects and the intensity of population decline may be greatest when PD densities are high in year t1 (a potential "density dependent" phenomenon discussed in a wide range of literature on disease ecology).
We also evaluated the correlation between PD population change and flea abundance in year t1, because rates of plague transmission and, therefore, PD mortality are expected to increase with increasing flea densities. To assess flea abundance (PDfleas in the data file), we combed live-trapped PDs and counted the number of fleas on each PD. The PDs were live-trapped, individually marked with ear tags, and combed as thoroughly as possible for 30 seconds (s) to collect fleas. Prairie dogs were allowed to recover from anesthesia and released at their trapping locations. For each plot and year, we used the average value of flea counts (defined as flea abundance).

Tags: cynomys, farming, flea, mammals, plague, prairie-dog, usgs-5f49b54f82ce4c3d122c09ff, usgs-ecosystems-mission-area, yersinia-pestis
Organization: Department of the Interior