AndreaBozzo/ceres-open-data-index huggingface dataset:
Trackline navigation collected with a Reson 7160 Multibeam echosounder in the eastern Gulf of Alaska during USGS Field Activity 2016-625-FA (Esri polyline shapefile, UTM 8 WGS 84)

Marine geophysical mapping of the Queen Charlotte Fault in the eastern Gulf of Alaska was conducted in 2016 as part of a collaborative effort between the U.S. Geological Survey and the Alaska Department of Fish and Game to understand the morphology and subsurface geology of the entire Queen Charlotte system. The Queen Charlotte fault is the offshore portion of the Queen Charlotte-Fairweather Fault: a major structural feature that extends more than 1,200 kilometers from the Fairweather Range of southern Alaska to northern Vancouver Island, Canada. The data published in this data release were collected along the Queen Charlotte Fault between Cross Sound and Noyes Canyon, offshore southeastern Alaska from May 18 to June 11, 2016. Data were collected aboard the Alaska Department of Fish and Game research vessel Medeia using a Reson SeaBat 7160 multibeam echosounder. This data release contains approximately 453 square kilometers of multibeam bathymetric and backscatter data gridded at 10-meter resolution. Multibeam water column imagery and seismic profile data also collected during this survey are not published in this data release

Tags: adfg, alaska-department-of-fish-and-game, baranof-fan, baranof-island, bathymetry, chatham-strait, chichagof-island, cmhrp, coastal-and-marine-hazards-and-resources-program, cross-sound, geology, geophysics, geoscientificinformation, geospatial-datasets, gulf-of-alaska, heceta-knoll, icy-point, land-surface, location, multibeam, multibeam-sonar, north-pacific-ocean, noyes-canyon, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, queen-charlotte-fault, r-v-medeia, reson-7160, sea-floor, seafloor, shapefile, terrasond, tracklines, u-s-geological-survey, united-states-of-america, usgs, usgs-5d95ebeae4b0c4f70d10e83a, whcmsc, woods-hole-coastal-and-marine-science-center, yakobi-sea-valley
Organization: Department of the Interior
Magnetotelluric data from the Northwest Geysers, 2017, station gz22

This dataset consists of 42 magnetotelluric (MT) stations collected in 2017 in the Northwest Geysers, CA. The U.S. Geological Survey acquired these data as part of a project to image the heat source in the Northwest Geysers.  Support was from the U.S. Geological Survey's Volcano Hazards Program.

Tags: apparent-resistivity, california, cenozoic, earth-magnetic-field, electromagnetic-surveying, geology-minerals-energy-and-geophysics-science-center, geophysics, geoscientificinformation, geothermal, gmegsc, impedance, lake-county, magnetotelluric-surveying, magnetotellurics, mesozoic, mt, napa-county, phase, sonoma-county, the-geysers, time-series, tipper, usgs-5d5f3be5e4b01d82ce9850f6, vhp, volcano-hazards-program
Organization: Department of the Interior
Hawaii Island, modelled density of malaria-resistant and -susceptible Iiwi following release of malaria-resistant birds under three climate change projections, 2030-2100

This data set provides the simulated results of releasing malaria-resistant Iiwi into existing populations of wild birds on the Island of Hawaii.  Resistant birds are released into mid- and high-elevation forests at different densities at 10-year intervals from 2030 to 2070.  Populations of both malaria-resistant and susceptible Iiwi are then predicted at 10-year intervals from release until 2100.  Predictions are made based on 3 different climate change projections: A1B, RCP4.5, and RCP8.5.  The goal of this project is to evaluate the feasibility of creating a successful population of Iiwi when faced with higher malaria infection predicted as a result of climate change.  The model results presented here build upon two previous research studies published in 2011 and 2015 (see published articles in the cross-reference section below). The original input data and model descriptions can be found in these earlier papers. This data release concentrates on the 2019 model and its output

Tags: avian-malaria, biota, climate-change, crispr, facilitated-adaptation, gene-editing, hawaiian-forest-birds, iiwi, usgs-5d95594be4b0c4f70d10d6c8
Organization: Department of the Interior
Location and analyses of sediment samples collected on Stellwagen Bank off Boston, Massachusetts from November 5, 2013 to April 30, 2019 during U.S. Geological Survey field activities

These data are part of the effort to map geologic substrates of the Stellwagen Bank National Marine Sanctuary (SBNMS) region off Boston, Massachusetts. The overall goal is to develop high-resolution (1:25,000) interpretive maps, based on multibeam sonar data and seabed sampling, showing surficial geology and seabed sediment dynamics. The data were collected in collaboration with the Stellwagen Bank National Marine Sanctuary and will aid research on the ecology of fish and invertebrate species that inhabit the region. Sediment samples were collected aboard the Sanctuary's research vessel, R/V Auk at 679 locations on and near Stellwagen Bank using a customized Van Veen grab sampler integrated into the USGS SEABed Observation and Sampling System (SEABOSS). The SEABOSS, equipped with a video camera, was deployed from the Auk and allowed to drift for a shore period of time approximately 1 meter from the sea floor collecting video imagery of the sea floor. The SEABOSS drift typically culminated in the collection of a sediment sample used for grain-size analysis. Biological specimens were collected from the sediment, if present, and retained by scientists at teh SBNMS in Scituate, Massachusetts.

Tags: atlantic-ocean, cmhrp, coastal-and-marine-hazards-and-resources-program, field-monitoring-stations, geoscientificinformation, grab-sampling, grain-size-analysis, ground-truth, location, marine-geology, massachusetts, massachusetts-bay, national-oceanic-and-atmospheric-administration, noaa, north-america, oceans, sbnms, sea-floor-characteristics, sea-floor-samples, sediment-analysis, sediment-samples, stellwagen-bank, stellwagen-bank-national-marine-sanctuary, u-s-geological-survey, united-states, usgs, usgs-5d95153ee4b0c4f70d10a4f7, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Three-dimensional  grid of properties used to analyze induced seismicity recorded from 1991 to 2012 at Paradox Valley, Colorado

Large numerical grid used for finite element and finite volume analysis of induced seismicity in Paradox Basin.
The grid construction used the boundaries of three sub-horizontal surfaces; the topography, and the top and bottom of the production formation is determined from drilling and seismic reflection profiling, yielding the surface topography and thickness variations in these data throughout the domain. The cell dimensions in the north and east directions are 200 m and the horizontal gridlines are oriented north-south and east-west. There are 245 elements in the east west direction, 241 elements in the north south direction, and 31 elements in the vertical, extending from the surface to 15 km depth. The grid dimensions are approximately 25 km on a side in the horizontal dimensions. All grid dimensions are in kilometers, with the vertical dimension given as elevation.  At the well (Figure 3), elevations for the 31 nodes in the vertical direction  conform to the permeability boundaries given in the Paradox Valley Unit well data from the US Bureau of Reclamation. Elsewhere the vertical structure at the well is compressed or stretched to fit the horizons determined from a combination of seismic tomography and data from numerous wells in and around the Paradox valley. These horizons are accurate to about a meter. Where the production horizon limestone pinches out,  Pre-Cambrian material values are prescribed. All boundaries are permeable to flow of pore fluid into and out of the domain in response to pumping, but the bottom and sides of the domain are set up to approximate infinite boundaries during numerical processing.

Tags: bedrock-colorado, earthquake-hazards, induced-seismicity, paradox-valley-colorado, poroelasticity, three-dimensional-finite-volume-domain, usgs-5d9509a8e4b0c4f70d107977
Organization: Department of the Interior
USGS National and Global Oil and Gas Assessment Project-Bighorn Basin Province, Niobrara Formation Assessment Units and Input Data Forms

This data release contains the boundaries of assessment units and input data for the assessment of continuous oil and gas resources of the Niobrara interval of the Cody Shale in the Bighorn Basin Province of Wyoming and Montana. The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources.  The Assessment Unit is defined within the context of the higher-level Total Petroleum System.  The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type.  The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies.  The only exceptions to this are Assessment Units that border the Federal-State water boundary.  In these cases, the Federal-State water boundary forms part of the Assessment Unit boundary.  Methodology of assessments are documented in USGS Data Series 547 for continuous assessments (https://pubs.usgs.gov/ds/547) and USGS DDS69-D, Chapter 21 for conventional assessments (https://pubs.usgs.gov/dds/dds-069/dds-069-d/REPORTS/69_D_CH_21.pdf).  See supplemental information for a detailed list of files included this data release.

Tags: assessment-unit, bighorn-basin-province, bighorn-niobrara-shale-gas, bighorn-niobrara-shale-oil, continuous-assessment-unit, energy-resources, geology, geoscientificinformation, national-assessment-of-oil-and-gas, natural-gas, natural-gas-resources, noga2000, oil, oil-resources, oilgas, petroleum, resource-assessment, state-of-montana, state-of-wyoming, unconventional-assessment-unit, united-states-of-america, usgs-5d94f906e4b0c4f70d1034f6
Organization: Department of the Interior
FlagPlots_Trends

The compressed (zipped) folder contains station specific flag plots located in the appropriate region folder, and there is a regional folder that has flag plots that represent the entire region. In the zipped folder is also a .csv file that contains the data used to create the flag plots.

Tags: datasets, flooding, peak-flow, trends, usgs-5d94f431e4b0c4f70d1022da
Organization: Department of the Interior
Characterization of whooping crane migration space use in the Central Flyway, 2010-2016, spatial data

These data were developed to support an effort to characterize migration strategies in the U.S. Great Plains and Canadian Prairies and to explore sources of heterogeneity in their migration strategy, including space use, timing, and performance. Data come from locations and other information related to 58 marked Whooping Cranes (Grus americana) from 2010–2016. These data represent basic information about space use during migrations of marked whooping cranes, including intensity of use and fidelity.

Tags: alberta, animal-tracking, biota, birds, environment, iowa, kansas, manitoba, migratory-birds, minnesota, montana, nebraska, north-dakota, oklahoma, saskatchewan, south-dakota, texas, usgs-5d94d079e4b0c4f70d0f4078
Organization: Department of the Interior
Wyoming Landscape Conservation Initiative Literature Database

The Wyoming Landscape Conservation Initiative Literature Database is a collection of publication records that reference the Wyoming Landscape Conservation Initiative (WLCI). The database was developed in an effort to provide the WLCI community with a more functional publication citation index and storage system. By maintaining the literature database, the WLCI community has the opportunity to streamline their workflow and gain further insight into the work that has been published on in regards to the WLCI effort. The xDD API, ScienceBase Catalog, USGS Publications Warehouse, ORCiD website, USGS Staff Profiles website, WLCI website, and the homepages of WLCI scientists were used to search and compile records. The records were entered into a shared library using Zotero, a reference management software. Zotero, along with other software options like Mendeley, RefWorks, EndNote, etc., facilitate the creation of literature databases. In order to confirm each record in the literature database represented a WLCI publication, each publication was searched for mention of the WLCI. To ensure each record included adequate information, records were automatically cross-referenced using the Zotero software and common digital identifiers (DOI or ISSN) or information was added manually. To improve the database, the Zotero duplication tool was used to detect and merge duplicate records and specific tags were incorporated into each record to indicate where the WLCI was referenced in a publication, how the WLCI was referenced in a publication, and/or through which search method the publication was found. The WLCI library can be accessed through three ways; by downloading the Zotero desktop application and syncing it to the online WLCI library, by accessing the WLCI library in the online Zotero application, and through the Zotero API. The library is open to the public. However, the records can only be added or edited by WLCI community members. Because the database is hosted by a third party provider, this data release offers access to the database records in the form of a CSV and RDF file.

Tags: data-management, information-sciences, united-states, usgs-5d93775de4b0c4f70d0d48b7, wyoming
Organization: Department of the Interior
Lava level and crater geometry data during the 2018 lava lake draining at Kīlauea Volcano, Hawaii

In May 2018, the onset of new eruptive activity on the lower flank of Kīlauea Volcano, Hawaiʻi, accompanied the draining of the lava lake at the summit, 40 km upslope.  The lava lake draining lasted over seven days, and transitioned into the largest collapse event at the summit of Kīlauea in over 200 years, with the paired flank and summit activity marking a historic episode in the modern record of Kīlauea.  We present two important datasets that characterize draining of the Kīlauea summit lava lake in 2018.  First, we present high-precision elevation data of the lava lake surface measured by an industrial laser rangefinder.  To our knowledge, this is the highest-precision lava lake elevation data ever collected over a sustained period.  Second, we present three-dimensional models of the drained crater on three dates during the draining sequence.  The models were constructed from oblique airborne thermal images using structure-from-motion processing.  These models constrain the crater geometry and can be used for measuring the volume of the lava lake during its draining.  This combined dataset may be useful for future research on the 2018 eruption.

Tags: halemaumau, island-of-hawaii, klauea-crater, usgs-5d92dd71e4b0c4f70d0d1cac, volcano-monitoring, volcanology
Organization: Department of the Interior
Microplastics in Lake Mead National Recreation Area, 2017-2018: U.S. Geological Survey data release

This dataset describes the quantity and morphology of microplastics in water, surficial sediment, sediment core, fish, and shellfish samples from Lake Mead National Recreation Area (Nevada/Arizona). Water and surficial sediment samples were collected once at 9 locations. A sediment core (33 cm long) was extracted from Las Vegas Bay to assess changes in microplastic deposition over time. Striped bass (Morone saxatilis), common carp (Cyprinus carpio), quagga mussels (Dreissena bugensis), and Asian clams (Corbicula fluminea) were sampled at a subset of locations to assess biological uptake of microplastics. Sampling and analysis methods are described in the Processing Steps section of the metadata. All samples were collected in March 2017 except the sediment core, which was collected in March 2018.

Tags: biota, contamination-and-pollution, inlandwaters, lake-mead, lower-colorado, microplastics, surface-water-quality, usgs-5d976ed0e4b0c4f70d1152c0
Organization: Department of the Interior
Groundwater-level measurement data used to develop the groundwater-level altitude maps in the upper Rio Grande alluvial basins

This part of the data release contains the water-level measurement data compiled and synthesized from various sources. This compilation includes two tables that contain all the water-level measurements that were considered in the development of  the groundwater-level altitude maps (Input_VisGWDB), and a table of median-water-level data that were used to develop the groundwater-level altitude maps (MedianWaterLevelData). Also included in this part of the data release is a geologic unit code look-up table which defines the geologic units that wells are reported to be screened in for wells with water-level measurements.
These digital data accompany Houston, N.A., Thomas, J.V., Foster, L.K., Pedraza, D.E., and Welborn, T.L., 2020, Hydrogeologic framework, groundwater-level altitudes, groundwater-level changes, and groundwater-storage changes in selected alluvial basins in the upper Rio Grande focus area study, Colorado, New Mexico, and Texas, U.S. and Chihuahua, Mexico, 1980 to 2015

Tags: abiquiu-reservoir, aerial-photography, ahumada, alamosa, alamosa-county, alamosa-creek, alamosa-river, albuquerque, anthony, antonito, archuleta-county, ascencion, belen, bernalillo-county, bonanza, buenaventura, caballo-reservoir, catron-county, center, chama, chihuahua, cibola-county, ciudad-juarez, cochiti-lake, colorado, conejos-county, costilla-county, creede, del-norte, domestic-well-water-use, dona-ana-county, droughts, el-paso, el-paso-county, el-porvenir, elephant-butte, elephant-butte-reservoir, environment, espanola, esperanza, evapotranspiration, field-monitoring-stations, floods, geographic-information-systems, geography, geology, geoscientificinformation, geospatial-analysis, geospatial-datasets, grants, groundwater, groundwater-and-surface-water-interaction, groundwater-flow, guadalupe, hatch, heron-reservoir, hinsdale-county, horizon, hudspeth-county, hydrographic-datasets, hydrologic-processes, hydrology, image-analysis, industrial-water-use, infrared-imaging, inlandwaters, irrigation, juarez, land-use-and-land-cover, las-cruces, los-alamos-county, mckinley-county, mexico, mineral-county, monte-vista, mora-county, multispectral-imaging, new-mexico, praxedis-g-guerrero, precipitation, public-supply-water-use, red-river, remote-sensing, rio-arriba-county, rio-chama, rio-grande, rio-grande-county, rio-puerco, rio-rancho, rio-salado, rio-san-jose, runoff, saguache-county, saguache-creek, san-agustin, san-elizario, san-isidro, san-juan-county, san-luis, sandoval-county, santa-fe, santa-fe-county, sierra-county, snow-and-ice-cover, socorro, socorro-county, south-fork, spatial-analysis, statistical-analysis, storms, streamflow, surface-water, taos, taos-county, texas, time-series-analysis, time-series-datasets, torrance-county, truth-or-consequences, united-states-of-america, usgs-5d927af6e4b0c4f70d0d06b4, valencia-county, water-budget, water-chemistry, water-cycle, water-properties, water-quality, water-resources, water-supply-and-demand, water-use
Organization: Department of the Interior
Groundwater-level altitude and groundwater-level change maps developed for the groundwater component of the upper Rio Grande Focus Area Study

This part of the data release contains the raster representation of the groundwater-level altitude and groundwater-level change maps developed every 5 years from 1980 to 2015 for the upper Rio Grande Focus Area Study. The input point data used to generate the groundwater-level altitude maps can be found in the "Groundwater level measurement data used to develop groundwater-level altitude maps in the upper Rio Grande alluvial basins" child item of this data release.

Tags: abiquiu-reservoir, aerial-photography, ahumada, alamosa, alamosa-county, alamosa-creek, alamosa-river, albuquerque, anthony, antonito, archuleta-county, ascencion, belen, bernalillo-county, bonanza, buenaventura, caballo-reservoir, catron-county, center, chama, chihuahua, cibola-county, ciudad-juarez, cochiti-lake, colorado, conejos-county, costilla-county, creede, del-norte, domestic-well-water-use, dona-ana-county, droughts, el-paso, el-paso-county, el-porvenir, elephant-butte, elephant-butte-reservoir, environment, espanola, esperanza, evapotranspiration, field-monitoring-stations, floods, geographic-information-systems, geography, geology, geoscientificinformation, geospatial-analysis, geospatial-datasets, grants, groundwater, groundwater-and-surface-water-interaction, groundwater-flow, guadalupe, hatch, heron-reservoir, hinsdale-county, horizon, hudspeth-county, hydrographic-datasets, hydrologic-processes, hydrology, image-analysis, industrial-water-use, infrared-imaging, inlandwaters, irrigation, juarez, land-use-and-land-cover, las-cruces, los-alamos-county, mckinley-county, mexico, mineral-county, monte-vista, mora-county, multispectral-imaging, new-mexico, praxedis-g-guerrero, precipitation, public-supply-water-use, red-river, regression-analysis, remote-sensing, rio-arriba-county, rio-chama, rio-grande, rio-grande-county, rio-puerco, rio-rancho, rio-salado, rio-san-jose, runoff, saguache-county, saguache-creek, san-augustin, san-elizario, san-isidro, san-juan-county, san-luis, sandoval-county, santa-fe, santa-fe-county, sierra-county, snow-and-ice-cover, socorro, socorro-county, south-fork, spatial-analysis, statistical-analysis, storms, streamflow, surface-water, taos, taos-county, texas, time-series-analysis, time-series-datasets, torrance-county, truth-or-consequences, united-states-of-america, usgs-5d927505e4b0c4f70d0d06a6, valencia-county, water-budget, water-chemistry, water-cycle, water-properties, water-quality, water-resources, water-supply-and-demand, water-use
Organization: Department of the Interior
Process-guided deep learning water temperature predictions: 6b Sparkling Lake detailed evaluation data

This dataset includes "test data" compiled water temperature data from an instrumented buoy on Sparkling Lake, WI and discrete (manually sampled) water temperature records from North Temperate Lakes Long-TERM Ecological Research Program (NTL-LTER; https://lter.limnology.wisc.edu/). The buoy is supported by both the Global Lake Ecological Observatory Network (gleon.org) and the NTL-LTER. The dataset also includes Sparkling Lake model erformance as measured as root-mean squared errors relative to temperature observations during the test period. This dataset is part of a larger data release of lake temperature model inputs and outputs for 68 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9AQPIVD).

Tags: biota, climate-change, deep-learning, environment, hybrid-modeling, inlandwaters, machine-learning, modeling, reservoirs, temperate-lakes, temperature, thermal-profiles, united-states, us, usgs-5d92507be4b0c4f70d0d059b, water, wi, wisconsin
Organization: Department of the Interior