AndreaBozzo/ceres-open-data-index huggingface dataset:
Interferometric Synthetic Aperture Radar data for 2015-18, and Groundwater-Level Data for 1970-2018, Pajaro Valley, Santa Cruz and Monterey Counties, California

Synthetic aperture radar (SAR) data from the European Space Agency's (ESA) Sentinel-1A satellite were acquired from the Alaska Satellite Facility and used to generate spatially detailed land-surface deformation maps (interferograms) for the Pajaro Valley during 2015 through 2018 using conventional Interferometric Synthetic Aperture Radar (InSAR) workflows.
Groundwater level data collected by the Pajaro Valley Water Management Agency during 1970 to 2018 was provided to USGS and used to assess changes in groundwater levels as it relates to aquifer system compaction and resultant land subsidence in the Pajaro Valley.

Tags: aquifer-system-compaction, california, geoscientificinformation, groundwater, groundwater-level, insar, interferometric-synthetic-aperture-radar, monterey-county, pajaro-valley, pajaro-valley-basin, santa-cruz-county, subsidence, usgs-60256c4ed34eb12031138a84
Organization: Department of the Interior
Kaua‘i Avian Botulism Detection Trials Data

Hawai‘i’s endangered waterbirds have experienced epizootics caused by ingestion of prey that accumulated a botulinum neurotoxin produced by the anaerobic bacterium Clostridium botulinum (avian botulism; Type C). Waterbird carcasses, necrophagous flies, and their larvae initiate and spread avian botulism, a food-borne paralytic disease lethal to waterbirds. Each new carcass has potential to develop toxin-accumulating necrophagous vectors amplifying outbreaks and killing hundreds of endangered birds. Early carcass removal is an effective mitigation strategy for preventing avian intoxication, toxin concentration in necrophagous and secondary food webs, and reducing the magnitude of epizootics. However, rapid detection of carcasses can be problematic and labor intensive. Therefore, we tested a new method using scent detection canines for avian botulism surveillance on the island of Kaua‘i. During operational surveillance and a randomized double-blind field trial, trained detector canines with experienced field handlers improved carcass detection probability, especially in dense vegetation. Detector canines could be combined with conventional surveillance to optimize search strategies for carcass removal and are a useful tool to reduce risks of the initiation and propagation of avian botulism.
This dataset is one of the three datasets that make up this data release. This table contains GPS track data and environmental parameters from the double-blind detection trials that were intended to compare human searches with canine-assisted searches.

Tags: avian-botulism, avian-disease, biota, canine-detection, clostridium-botulinum, hawaii, kauai, kauai-county, koloa-maoli, taro, usgs-60246c3ad34eb120311388d6, waterbirds, wetlands, wildlife-biology
Organization: Department of the Interior
Rainbow trout diet and invertebrate drift data from 2012-2015 for the Colorado River, Grand Canyon, Arizona

These data were compiled to explore the foraging ecology of Rainbow Trout (Oncorhynchus mykiss) in the Colorado River, Grand Canyon, Arizona.  These data represent samples characterizing the availability of drifting invertebrate prey (hereafter, drift) and use of these invertebrate prey by rainbow trout determined by gut samples (hereafter, diets).  Drift and diet sampling occurred in five distinct reaches downstream of Glen Canyon Dam (river kilometer (rkm) from the dam): (I) rkm 16.3-21.7; (II) rkm 52.8-58.3; (III) rkm 86.6-91.9; (IV) rkm 122.0-123.6; and (V) rkm 127.1-129.6.  Samples were taken on 12 trips in April, July, September and January from April 2012 through January 2015. The aquatic prey base consists of 5 primary taxa; two small aquatic Diptera: black flies (Simuliium sp.) and midges (family Chironomidae), an amphipod crustacean (Gammarus lacustris), New Zealand mudsnail (Potamopyrgus antipodarum), and aquatic worms (Tubificidae and Lumbriculidae).  The U.S. Geological Survey collected and processed 784 individual drift samples and 1,028 diet samples following the methods described in Kennedy et al. (2014).  To analyze these data, we developed a Bayesian discrete choice model, the structure of which is described in Dodrill et al. (Larger Work Citation). These data are compiled by sampling trip and reach. Additionally, a subset of invertebrates from each sample were measured to the nearest mm in length to characterize their size distribution.

Tags: amphipod-crustacean, aquatic-biology, aquatic-diptera, aquatic-ecosystems, aquatic-prey, aquatic-worms, arizona, bayesian-discrete-choice-model, biota, black-flies, colorado-river, crustaceans, diet, discrete-choice-models, drift, drifting-invertebrate-prey, ecological-processes, ecology, field-sampling, forage, foraging, glen-canyon-dam, grand-canyon, gut-samples, invertebrate-drift, invertebrates, mathematical-modeling, midges, new-zealand-mudsnail, predation, predator, prey, prey-selection, rainbow-trout, samples, sampling, usgs-602456ffd34eb120311388a1, worms
Organization: Department of the Interior
Channel geometry for upstream and downstream cross sections at selected bridge sites in Montana, 2022

The U.S. Geological Survey, in cooperation with the Montana Department of Transportation (MDT), collected cross-section data on the upstream and downstream sides at 18 sites involving 20 bridges in Montana during the 2022 calendar year. The purpose of the data collection is to determine if scour and channel instability occur in the vicinity of the bridge structures. Data were processed, analyzed, and compiled for bridge scour monitoring, facilitating better understanding, documentation, and prediction of scour processes.

Tags: bathymetry, geomorphology, hydrology, inlandwaters, montana, scour, surface-water-non-marine, usgs-60244fa8d34eb1203113888b, western-united-states
Organization: Department of the Interior
Temperature and Depth Data from Walleye Archival Data Logging Tags in Lake Erie, 2014

While recording fish habitat use via electronic sensors, biologgers can also be viewed as autonomous environmental monitoring systems with the organism as a vehicle. This dual perspective has provided novel results from marine ecosystems but has not been applied to freshwater ecosystems. To understand limitations in freshwater, we evaluated miniature depth and temperature recorders, as aquatic monitoring systems in Lake Erie. As part of an acoustic telemetry study, biologgers were implanted in a subsample of walleye, Sander vitreus in 2014. Biologgers were equipped with sensors capable of measuring water temperature and depth at half-hour intervals for up to a year. Recaptures provided six biologgers for analysis of seasonal temperature patterns and lake stratification, which are key variables for understanding dimictic lakes.

Tags: acoustic-telemetry, biologger, biota, fish-behavior, fisheries-biology, great-lakes, limnology, oxygen-content-water, sander-vitreus, usgs-60241ac0d34eb1203113851b
Organization: Department of the Interior
Stable Isotopic Data (δ13C and δ2H) for Reference Materials HCG-1, HCG-2, and HCG-3

Stable carbon and hydrogen isotopic data generated by off-line preparation and dual inlet mass spectrometric analysis used the determine the recommended values for the reference materials HCG-1, HCG-2, and HCG-3.

Tags: gas-chromatography, gas-geochemistry, geochemistry, imagerybasemapsearthcover, isotope-ratio-mass-spectrometry, isotopic-analysis, laboratory-experiments, laboratory-methods, mass-spectroscopy, reference-materials, stable-isotopes, usgs-6024038bd34eb120311384a4
Organization: Department of the Interior
Lake Hermitage Marsh Creation– NRDA Early Restoration Project: 2018 and 2020 land-water classifications

The Louisiana Coastal Protection and Restoration Authority and the Natural Resource Damage Assessment (NRDA) develop restoration plans in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Lake Hermitage Marsh Creation– NRDA Early Restoration project for 2018 and 2020. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their project boundary. To better evaluate the effectiveness of restoration efforts, a land-water classification is performed on specific restoration sites to help assess landscape changes.

Tags: aerial-photography, conservation, cwppra, digital-elevation-models, ecosystem-monitoring, geographic-information-systems, gulf-of-mexico, image-collections, image-mosaics, louisiana, louisiana-coastal, remote-sensing, usgs-6023fde1d34eb12031138489, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Fishkill and Wappinger Falls study area georeferenced TIFFs and digitized data

This dataset includes georeferenced TIFF files from two separate reports for the Fishkill and Wappinger Falls study area that have been digitized into feature classes within ArcGIS. Not all digitized and georeferenced data was necessarily used in the final interpolations, however they may have contributed to understanding the local hydrogeology.

Tags: aquifer-mapping, bedrock-mapping, dutches-county, fishkill, glacial-geology, new-york, putnam-county, sourcewater, usgs-602c3a55d34eb1203114400e, valley-fill, wappinger-falls
Organization: Department of the Interior
Monthly estimates of natural baseflow for 15,866 stream reaches, defined by the National Hydrography Dataset Plus Version 2.0 (NHDPlusV2), in the Delaware River Basin for the period 1950-2015

This metadata record describes monthly estimates of natural baseflow for 15,866 stream reaches, defined by the National Hydrography Dataset Plus Version 2.0 (NHDPlusV2), in the Delaware River Basin for the period 1950-2015. A statistical machine learning technique - random forest modeling (Liaw and Wiener, 2018; R Core Team, 2020) - was applied to estimate natural flows using about 150 potential predictor variables (Miller and others, 2018). Calibration data used for the random forest model are available from (Foks and others, 2020). Each model was run twice, first using all potential predictor variables, which represents a "full" model run, and a second time using the top 20 predictors from the original run, which represents the "partial" model run. Model performance of the full and partial models were compared and identified to be similar. Therefore, predictions for all NHDPlusV2 stream reaches were made using the partial model. Methods used to calibrate the random forest models, and references to predictor data sources are detailed in (Miller and others, 2018). The R scripts used and directions to run the scripts are included in this data release.
References cited:
Liaw, A., and Wiener, M., 2018, Package 'randomForest': The Comprehensive R Archive Network, https://cran.r-project.org/web/packages/randomForest/randomForest.pdf.
Miller, M.P., Carlisle, D.M., Wolock, D.M., and Wieczorek, M., 2018, A database of natural monthly streamflow estimates from 1950 to 2015 for the conterminous United States: Journal of the American Water Resources Association, v. 54, no. 6, p. 1258-1269, https://doi.org/10.1111/1752-1688.12685.
Foks, S.S., Miller, M.P., and Hopple, J.A., 2020, Daily-timestep and monthly-timestep estimates of baseflow at 49 reference stream gages located within 25 miles of the Delaware River basin watershed boundary for the years 1950 through 2015: U.S. Geological Survey data release, https://doi.org/10.5066/P9XY70L4.
R Core Team, 2020, R-A language and environment for statistical computing: R Foundation for Statistical Computing, https://www.eea.europa.eu/data-and-maps/indicators/oxygen-consuming-substances-in-rivers/r-development-core-team-2006.

Tags: anthropogenic-modification, baseflow, delaware, delaware-river-basin, environmental-impacts, geochemistry, geoscientificinformation, groundwater, hydrology, inlandwaters, national-hydrography-dataset-plus-version-2-0, natural-flows, new-jersey, new-york, pennsylvania, random-forest-modeling, random-forests, river-reaches, rivers-streams, streamflow, surface-water-hydrology, usgs-6023e628d34e31ed20c874e4, water-resources
Organization: Department of the Interior
Aquaculture and Irrigation Water-Use Model (AIWUM) Version 1.1 Estimates and Related Datasets for the Mississippi Alluvial Plain

This spreadsheet file contains measurements of total groundwater used by permitted wells for aquaculture and irrigation purposes in the Mississippi Delta for each year from 2014 to 2019.  The data in this file are measurements provided by the Mississippi Department of Environmental Quality and were made using totalizing flowmeters installed on wells and reported to the Mississippi Department of Environmental Quality voluntarily.  Data were filtered for quality by U.S. Geological Survey staff.

Tags: agriculture-water-use, irrigated-lands, irrigation, mississippi, mississippi-delta, usgs-602346bad34e31ed20c87441, water-use
Organization: Department of the Interior
Demographic data for toxicant based trial eradication of brown treesnakes in the USGS Closed Population on Guam, 2016 - 2020

These data are mark-recapture data procured from conducting nocturnal visual surveys and live lure based trapping for brown treesnakes in the 5 hectare enclosure called USGS Closed Population or Northwest Field North (NWFN). In addition, tissue samples were collected from brown treesnakes in order to build genetic relationships among resident individuals. The population was undergoing acetaminophen based toxicant treatment from March 31 2017 - February 29 2020. Monitoring occurred from 15 October 2016 - 31 March 2020. The data file contains four sheets that report data from different pieces of the demographic response to toxicant applications. Sheet 1 "BTS Counts" reports the number of brown treesnakes known to be in the population on a given date. Sheet 2 "IPM" reports demographic values that were used to inform an integrated projection model to estimate population response, elasticity and sensitivity to toxicants. Sheet 3 "Parents" defines and identifies parental relationships between within the 2017 - 2018 cohort of births to other known snakes in the population. "Snakes Removed" gives the numerical estimate of the number of snakes that were assumed to be have killed by a given toxicant application following failure to subsequently detect them.

Tags: acetaminophen, biota, demography, environment, eradication, guam, mariana-island, pacific-region, toxicant, usgs-6023110cd34e31ed20c873ea
Organization: Department of the Interior
Historic and future trends in exotic annual grass (%) cover in the western US (1985 to 2019 and 2025 to 2040)

Exotic annual grasses [EAG] are one of the most damaging biological stressors in western North America. Despite numerous environmental and societal impacts associated with EAG there remains a need to enhance regional monitoring capabilities to better guide management and conservation efforts. Here we provide estimates of historic and potential future trends in EAG abundance that were developed using linear trend analysis and machine learning techniques at a 30-m spatial resolution. Specifically, these data represent historic (1985 to 2019) and potential future (2025-2040) rates of exotic annual grass change as estimated using Theil-Sen regression and a process-constrained, random forest model assuming only changes in climate under Representative Concentration Pathways (RCP 4.5 and 8.5), respectively.

Tags: biota, exotic-annual-grasses-cheatgrass-remote-sensing, usgs-602301c8d34e31ed20c8733c
Organization: Department of the Interior
Modelled long-term wildfire occurrence probabilities in sagebrush-dominated ecosystems in the western US (1985 to 2019)

Exotic annual grasses are one of the most damaging biological stressors in western North America and increase the susceptibility of landscapes to wildfire occurrence. Here we couple estimates of long-term rangeland component fractions (e.g. exotic annual grasses) with remote sensing, climate data, and machine learning techniques to estimate the long-term (1985 to 2019) probability of wildfire occurrence (30-m spatial resolution) in sagebrush-dominated landscapes of the western United States.

Tags: biota, exotic-annual-grasses-cheatgrass-remote-sensing-wildfire, usgs-6023017dd34e31ed20c87329
Organization: Department of the Interior
Mangrove elevation and species' responses to sea-level rise across Pohnpei, Federated States of Micronesia

Future sea-level rise poses a risk to mangrove forests. To better understand potential vulnerability, we developed a new numerical model of soil elevation for mangrove forests. We used the model to generate projections of elevation and mangrove forest composition change under four sea-level rise scenarios through 2100 (37, 52, 67, and 117 cm by 2100). We employed a data-driven modeling approach, utilizing new and existing data to inform model parameters. The model was calibrated using dated soil cores and used a spin-up period to establish the soil column prior to future projections. Additional field data, including water level monitoring and elevation surveys, were used to estimate the initial elevation of the mangrove forest relative to mean sea level, and forest inventory plots were used to estimate mangrove productivity. Finally, we used a Monte Carlo simulation to incorporate variation in annual sea level due to the El Nino-Southern Oscillation.

Tags: biota, digital-elevation-model, environment, pacific-ocean, pohnpei, sea-level-change, senyavin-islands, tidal-mangrove-forest, usgs-6022fef6d34e31ed20c872d2
Organization: Department of the Interior
Polygon shapefile of data sources used to create a bathymetric terrain model of multibeam sonar data collected between 2005 and 2018 along the Queen Charlotte Fault System in the eastern Gulf of Alaska from Cross Sound, Alaska to Queen Charlotte Sound, Canada. (Esri polygon shapefile, UTM 8 WGS 84)

This data publication is a compilation of six different multibeam surveys covering the previously unmapped Queen Charlotte Fault offshore southeast Alaska and Haida Gwaii, Canada. These data were collected between 2005 and 2018 under a cooperative agreement between the U.S. Geological Survey, Natural Resources Canada, and the National Oceanic and Atmospheric Administration. The six source surveys from different multibeam sonars are combined into one terrain model with a 30-meter resolution. A complementary polygon shapefile records the extent of each source survey in the output grid.

Tags: 2005, 2009, 2010, 2015, 2016, 2017, 2018, baranof-fan, baranof-island, bathymetry, canada, canadian-hydrographic-service, ccgs-vector, chatham-strait, chichagof-island, chs, cmhrp, coastal-and-marine-hazards-and-resources-program, cross-sound, dixon-entrance, geology, geophysics, geoscientificinformation, geospatial-datasets, gulf-of-alaska, haida-gwaii, heceta-knoll, icy-point, land-surface, moresby-canyon, multibeam-sonar, national-oceanographic-and-atmospheric-administration, natural-resources-canada, noaa, noaa-ship-fairweather, north-pacific-ocean, noyes-canyon, nrc, oceans, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, queen-charlotte-fault, queen-charlotte-sound, r-v-kilo-moana, r-v-medeia, r-v-sikuliaq, r-v-solstice, sea-floor, seafloor, shapefile, u-s-geological-survey, united-states-of-america, university-of-alaska-fairbanks, university-of-hawaii, usgs, usgs-6023f779d34e31ed20c874f1, whcmsc, woods-hole-coastal-and-marine-science-center, yakobi-sea-valley
Organization: Department of the Interior
Assessing habitat change and migration of barrier islands

A barrier island habitat prediction model was used to forecast barrier island habitats (for example, beach, dune, intertidal marsh, and woody vegetation) for Dauphin Island, Alabama, based on potential island configurations associated with a variety of restoration measures and varying future conditions of storminess and sea level (Enwright and others, 2020).  This USGS data release contains five habitat model predictions from the aforementioned modeling effort. These include: (1) the contemporary period (that is, 2015); (2) with action Year 0 (that is, hypothetically, predicted habitat coverage in 2128 based on our sea-level change rate); (3) with action Year 10 (that is, predicted habitat coverage after ten years of morphodynamic modeling with simulated storms); (4) without action Year 0; and (5) without action Year 10. Additionally, this data release includes change maps that highlight changes over the decadal simulation (that is, Year 0 to Year 10) with and without action, respectively, along with the difference between Year 10 for the with and without the action simulation. For more information on the habitat model methodology and results, see the publication listed in the larger work section of this metadata (Enwright and others, 2020) and Enwright and others (in review).

Tags: barrier-flat, barrier-islands, beach, coastal-wetlands, dauphin-island, dune, environment, geoscientificinformation, habitat-model, imagerybasemapsearthcover, marsh, meadow, mobile, remote-sensing, usgs-6022c55bd34e31ed20c86fcf, woody-vegetation
Organization: Department of the Interior
Geophysical Data Collected in the Des Moines River, Beaver Creek, and the Des Moines River Floodplain, Des Moines, Iowa, 2018

A suite of geophysical methods was used along the Des Moines River, Beaver Creek, and in the Des Moines River floodplain in Des Moines, Iowa to support the hydrogeologic characterization of the alluvial aquifer associated with the river.  The aquifer consists of sands and gravels underlain by weathered shale bedrock.  Groundwater from the aquifer along with surface water sources are used for municipal drinking water for the City of Des Moines and surrounding communities.  The raw data provided in this data release are minimally processed to filter out erroneous measurements. Data provided in this data release includes continuous resistivity profiling (CRP) and continuous seismic profiling (CSP) that were collected concurrently, electrical resistivity tomography (ERT) profiles, and horizontal-to-vertical spectral ratio (HVSR) passive seismic measurements. The CRP and ERT measure the electrical properties of the subsurface, which can be related to stratigraphic layers.  The CRP, ERT, CSP, and HVSR can be used to estimate depth to bedrock. Collectively, the suite of methods can help characterize the subsurface by mapping the extent of the sand and gravel aquifer and bedrock topography.

Tags: aquifer-characterization, continuous-resistivity-profiling, continuous-seismic-profiling, des-moines, electrical-resistivity-tomography, geophysics, horizontal-to-vertical-spectral-ratio, hydrogeology, iowa, polk-county, usgs-6022bee5d34e31ed20c86fbb
Organization: Department of the Interior