AndreaBozzo/ceres-open-data-index huggingface dataset:
WATSTORE Peak-flow data for selected streamgages in the Upper Yellowstone River Basin, based on data through water year 2022

This file (wymt_ffa_2022Yellowstone_WATSTORE.txt) contains peak-flow input data for PeakFQ for peak-flow frequency analyses for selected streamgages based on data through water year 2022. The file format is called WATSTORE (National Water Data Storage and Retrieval System) available from NWISWeb (http://nwis.waterdata.usgs.gov/usa/nwis/peak).

Tags: annual-exceedance-probability, carbon-county-mt, clarks-fork-yellowstone, computational-methods, floods, hazard-preparedness, hazards, hydrologic-processes, hydrology, inlandwaters, land, montana, north-america, park-county-mt, park-county-wy, peak-flow-frequency, shields, statistical-analysis, stillwater, stillwater-county-mt, stream-gage-measurement, streamflow, sweetgrass-county-mt, time-series-analysis, united-states, upper-yellowstone, upper-yellowstone-lake-basin, usgs-6495c80bd34ef77fcb01e1f1, usgs-cc-natural-hazards, watershed-management, wyoming, yellowstone-headwaters
Organization: Department of the Interior
NASA GIFT Iceland Highlands: 2015-2019 Baugur LiDAR

LiDAR scans were taken using a tripod mounted Riegl VZ-400 scanning LiDAR. The tripod was set up such that the scanner was between 1.5 and 2.5 m tall. The VZ-400 is a near infrared (1550 nm) scanner. Geometric control was achieved using a pair of Trimble RB GPS antennae, one mounted on the LiDAR scanner (rover) and the other setup as a base station. Before taking a LiDAR scan, the VZ-400 would use the GPSs to fix a real time kinematic (RTK) solution for the scanner’s location and then use that position (scan position) as a reference for LiDAR returns. Post processing was done using RIScan-Pro version 2 (scanner specific software). Also, in post-processing, overlapping areas of point clouds were merged and inaccuracies in roll, pitch, and yaw, were resolved using a multi station adjustment routine. The data were projected in UTM coordinates for export. Once post-processed, data were exported in “.las” format with LiDAR reflectance (infrared)  saved as intensity. The point cloud is georeferenced and projected in UTM Zone 28 North and generally has  &lt; 1 cm point spacing, however spacing varies locally and depending on the distance from the scanner to the target. There is a single merged point cloud for each scan year: 2015, 2016, 2018, and 2019 (indicated in file name). See processing report for scan data ranges. There is also a text file with the locations of scan positions for each year (NASA_GIFT_Iceland_ Baugur_2015-2019_UTM28_ScanPositions.csv).

Tags: baugur, cinder, geoscientificinformation, holocene-2014, holuhraun, iceland, lava-flow, lidar, regolith, spatter, usgs-6495d47bd34ef77fcb01e229, vent, volcanism
Organization: Department of the Interior
4. Figure code for model archive: Identifying structural priors in a hybrid differentiable model for stream water temperature modeling

&lt;p&gt;This section provides code for reproducing the figures in Rahmani et al. (2023b).&lt;/p&gt;
&lt;p&gt;The &lt;a href="https://www.sciencebase.gov/catalog/item/64888368d34ef77fcafe3936"&gt;full model archive&lt;/a&gt; is organized into these four child items: &lt;li&gt;&lt;a href="https://www.sciencebase.gov/catalog/item/648f9bbdd34ef77fcb001ffc"&gt; 1. Model code &lt;/a&gt;- Python files and README for reproducing model training and evaluation &lt;/li&gt; &lt;li&gt;&lt;a href="https://www.sciencebase.gov/catalog/item/648f9c49d34ef77fcb001fff"&gt; 2. Inputs &lt;/a&gt;- Basin attributes and shapefiles, forcing data, and stream temperature observations &lt;/li&gt; &lt;li&gt;&lt;a href="https://www.sciencebase.gov/catalog/item/648f9caed34ef77fcb002001"&gt; 3. Simulations &lt;/a&gt;- Simulation descriptions, configurations, and outputs &lt;/li&gt; &lt;li&gt;&lt;a href="https://www.sciencebase.gov/catalog/item/6495df90d34ef77fcb01e285"&gt; [THIS ITEM] 4. Figure code &lt;/a&gt;- Jupyter notebook to recreate the figures in Rahmani et al. (2023b) &lt;/li&gt; &lt;/p&gt;
&lt;p&gt;The publication associated with this model archive is: Rahmani, F., Appling, A.P., Feng, D., Lawson, K., and Shen, C. 2023b. Identifying structural priors in a hybrid differentiable model for stream water temperature modeling. Water Resources Research. &lt;a href=https://doi.org/10.1029/2023WR034420&gt;https://doi.org/10.1029/2023WR034420&lt;/a&gt;.&lt;/p&gt;

Tags: deep-learning, environment, inlandwaters, machine-learning, modeling, streams, united-states, us, usgs-6495df90d34ef77fcb01e285, water-resources, water-temperature
Organization: Department of the Interior
Observed wildfire frequency, modelled wildfire probability, climate, and fine fuels across the big sagebrush region in the western United States

These data were compiled so that annual wildfire could be modelled across the sagebrush region in the western United States. Our goal was to understand how wildfire probability relates to climate and fuel conditions across the entire sagebrush region. To do this we developed a statistical model that represents the relationship between annual wildfire probability and a small number of climate and fuel variables. Specifically, created predictions of wildfire probability using a biologically plausible logistic regression model that related wildfire probability to mean temperature, annual precipitation, the proportion summer precipitation (PSP), and aboveground biomass of annual herbaceous plants and perennial herbaceous plants. The biomass variables were used as proxies for fine fuel availability. These data represent annual fire occurrence in 1 km pixels (i.e. did a given pixel burn that year), predicted wildfire probability, as well as the three year running average (i.e. average across the current and previous two years) of climate and vegetation variables. These data were collected  across the sagebrush region (the extent of the study area is provided by the cell_number_ids.tif file). The climate and vegetation data were compiled using a existing gridded dataset (Daymet) of daily precipitation and temperature, and vegetation data were summaries of annual estimates of aboveground biomass of annual and perennial herbaceous plants from the Rangeland Analysis Platform (https://rangelands.app/). These data can be used to understand spatial and temporal variability in wildfire occurrence and modelled wildfire probability between 1988 and 2019 and how that variability relates to spatial and temporal variability in climate and vegetation.

Tags: aboveground-biomass, air-temperature, annual-grass-fire-cycle, annual-plants, arizona, atmospheric-and-climatic-processes, biogeography, biota, california, colorado, data-release, ecology, environment, fine-fuel-availability, fire-occurrence, fires, herbacious-plants, human-impacts, idaho, logistic-regression-model, mathematical-modeling, montana, nebraska, nevada, new-mexico, north-dakota, oregon, perennial-plants, plants-organisms, precipitation-atmospheric, sagebrush-region, south-dakota, usgs-6495e6bcd34ef77fcb01e2ad, utah, vegetation, vegetation-data, washington, western-united-states, widlfire-probability, wildfires, wyoming
Organization: Department of the Interior
Wyoming Roads (Updated to 2015 Aerial Photography)

A dataset comprised of road centerlines in Wyoming, USA, digitized to 2015 aerial photography from the National Agriculture Imagery Program. This dataset is an update to a former U.S. Geological Survey Data Series (“Large scale Wyoming transportation data: a resource planning tool”: O'Donnell and others, 2014) digitized to 2009 aerial photography. 
The U.S. Geological Survey Fort Collins Science Center created statewide roads data for the Bureau of Land Management Wyoming State Office using 2015 aerial photography from the National Agriculture Imagery Program. To ensure a systematic and repeatable approach of capturing roads on the landscape using on-screen digitizing from true color National Agriculture Imagery Program imagery, we developed a photogrammetry key and quality assurance/quality control protocols (O'Donnell and others, 2014). The updated statewide roads data will support the Bureau of Land Management’s resource management requirements with a standardized map product representing 2015 ground conditions. The data product, represented at 1:4,000 and +/- 10 meters spatial accuracy, contains 397,603 kilometers (O'Donnell and others, 2014 included 425,275 kilometers) within seven attribute classes. The quality control of these products indicated a 97.2 percent accuracy of aspatial information and 98.8 percent accuracy of spatial locations (an 86.3% accuracy was determined when considering spatial accuracy of mapped roads, commission errors, and omission errors). All errors identified during quality assurance assessments were corrected in the final product. Approximately 52 percent of the updated roads data were corrected for spatial errors of greater than 1 meters relative to the pre-existing road data (O'Donnell and others, 2014). Twenty percent of the updated roads involved correcting spatial errors of greater than 5 meters and 16 percent of the updated roads involved correcting spatial errors greater than 9 meters. 
The updated dataset includes the following improvements:1) Roads developed since 2009 but not roads developed after 2015; 2) Removal of commission errors (roads that were digitized but did not exist in imagery) was a principal focus of this dataset.

Tags: county-roads, geoscientificinformation, highways, interstates, roads, state-highways, transportation, two-track, united-states, usgs-6495f730d34ef77fcb01e6ff, wyoming
Organization: Department of the Interior
5 meter ArcRaster Bathymetric Hillshade of both the inshore and offshore portions of the Cape Ann - Salisbury Beach Massachusetts Survey Area (CABATH5MHS, UTM Zone 19, WGS84)

These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey, Coastal and Marine Geology Program, Woods Hole Science Center. Initiated in 2003, the primary objective of this program is to develop regional geologic framework information for the management of coastal and marine resources. Accurate data and maps of sea-floor geology are important first steps toward protecting fish habitat, delineating marine reserves, and assessing environmental changes due to natural or human impacts. The project is focused on the inshore waters (5-30m deep) of Massachusetts between the New Hampshire border and Cape Cod Bay.
Data collected for the mapping cooperative have been released in a series of USGS Open-File Reports&lt;http://woodshole.er.usgs.gov/project-pages/coastal_mass/html/current_map.html&gt;. This spatial dataset is from the Cape Ann and Salisbury Beach Massachusetts project area. They were collected in two separate surveys in 2004 and 2005 and cover approximately 325 square kilometers of the inner continental shelf.  High resolution bathymetry and backscatter intensity were collected in 2004 and 2005. Seismic profile data, sediment samples and bottom photography were also collected in 2005.

Tags: 2004, 2005, arcgis-raster, atlantic-ocean, bathymetry, bigelow-bight, cape-ann, cmgp, coastal-and-marine-geology-program, computational-methods, elevation, field-activity-serial-number-04015, field-activity-serial-number-05005, geoscientificinformation, geospatial-datasets, gulf-of-maine, hillshade, imagerybasemapsearthcover, interferometric-sonar, ipswich-bay, marine-geology, marine-geophysics, massachusetts, merrimack-river, multibeam-sonar, north-america, oceans, plum-island, r-v-connecticut, r-v-oceanexplorer, reson-8101, salisbury-beach, science-applications-international-corporation, sea-floor, sea-floor-characteristics, sea-swathplus, seafloor, swath-bathymetry, u-s-geological-survey, united-states, usgs, usgs-64963d5c-a61d-46e4-b220-5b11610c6cbd, whsc, woods-hole-science-center
Organization: Department of the Interior
MODFLOW-NWT Upgrade and Preliminary-Assessment of a Groundwater Flow Model of the Seacoast Bedrock Aquifer, New Hampshire

Improvements to an existing regional groundwater-flow model of a 160-square mile area of coastal New Hampshire (https://doi.org/10.3133/sir20085222), incorporating MODFLOW-NWT and by more accurately representing stream characteristics, were presented at the MODFLOW and More 2017 conference in an example simulating approximate changes in water use. The groundwater-flow model developed for the previous study incorporated detailed water-use information for 2003-04 and simulated the effects of projected increases in water use. At that time, population growth and increasing water demand prompted concern for the sustainability of the region’s groundwater resources in a fractured-crystalline bedrock-aquifer with little storage. However, poor stream representation may reduce the effectiveness of the heads simulated by the original model. Groundwater heads in an area of relatively large population change, near the center of the Seacoast’s fractured bedrock aquifer, were simulated with the upgraded model using published 2004 and approximated 2015 water-use rates. This USGS data release contains all the input and output files for the simulations described in the associated proceedings paper from the MODFLOW and More 2017 conference.  The publication which documents this work is included in the ancillary directory of this data release.

Tags: bedrock-aquifer, environment, geoscientificinformation, groundwater, groundwater-model, inlandwaters, modflow-nwt, new-hampshire, rockingham-county, seacoast-aquifer-system, seacoast-new-hampshire, seacoast-watershed, usgs-64974b14d34ef77fcb020242, usgsgroundwatermodel, water-use
Organization: Department of the Interior
Sediment grain-size data from the Klamath estuary, California

This data release includes grain-size measurements of sediment samples collected from the substrate surface and uppermost 10 cm of sediment deposits in the Klamath estuary, northern California. Samples were collected using a BMH-60 bed-material sampler deployed from a boat, or by hand trowel from subaerial or shallow-water (less than 0.5 m water depth) regions along the estuary margins and side channels. Sediment grain size was analyzed at the U.S. Geological Survey (USGS) laboratory in Santa Cruz, Calif. Particles coarser than 2 mm were sieved using a RO-TAP sieve shaker, and particles finer than 2 mm were analyzed with a Coulter laser particle-size analyzer (LPSA), after organic matter had been removed using a hydrogen peroxide solution.
At some submerged locations where sampling was attempted, no sample was recovered. The field crew observed this occurring in places where the substrate was too coarse-grained to be collected by the bed-material sampler (cobbles), where large particles were embedded in finer (poorly sorted) matrix, and where sediment was covered by algal mats thick enough to prevent the sampler from accessing the sedimentary substrate. Locations where sampling was attempted but no sample was recovered are indicated in the Comments column within the data spreadsheet.
The sediment samples were collected under a Cultural Resources Management Permit issued by the Yurok Tribe, whose support the USGS acknowledges gratefully.

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, del-norte-county, distributions, environment, estuary, field-sampling, geoscientificinformation, grain-size, grain-size-analysis, klamath-basin, land-surface-characteristics, pacific-coastal-and-marine-science-center, pcmsc, sediment, sediment-grain-size, state-of-california, u-s-geological-survey, usgs, usgs-6498a50cd34ef77fcb0299c0
Organization: Department of the Interior
Russian River Integrated Hydrologic Model (RRIHM): Rubber Dam Observations

This dataset provides a flow accumulation raster for the stream network. It displays the accumulated weight of all cells flowing into each downslope cell in a raster. The flow accumulation raster was generated using a flow direction raster, which was created from an elevation raster.

Tags: california, environment, groundwater, groundwater-and-surface-water-interaction, groundwater-level, hydrology, modeling, precipitation, russian-river, streamflow, surface-water-non-marine, united-states, usgs-64a381a2d34ef77fcb0578fc, water-resources
Organization: Department of the Interior
USGS National and Global Oil and Gas Assessment Project—Offshore Morocco: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables

This data release contains the boundaries of assessment units, assessment input data, and resulting fact sheet data tables for the assessment of undiscovered oil and gas resources in the offshore salt basin area, Essaouira Province of Morocco. The Assessment Unit is the fundamental unit used in the National and Global Oil and Gas 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.  Machine-readable tables are provided that contain the input and results for each assessment unit summarized in the USGS Fact Sheet. 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, conventional-assessment-unit, energy-resources, geology, geoscientificinformation, morocco, national-assessment-of-oil-and-gas, natural-gas, natural-gas-resources, noga2000, offshore-salt-structures, oil, oil-resources, oilgas, petroleum, resource-assessment, usgs-649989c0d34ef77fcb02aaf6
Organization: Department of the Interior
Paranannizziopsis spp. associated with skin lesions in wild snakes in North America and development of a real-time PCR assay for rapid detection of the fungus in clinical samples

The emergence of ophidiomycosis (or snake fungal disease) in snakes has prompted increased awareness of the potential impacts of fungal infections on wild reptile populations. Yet, aside from Ophidiomyces ophidiicola, little is known about other mycoses affecting wild reptiles. The closely related genus Paranannizziopsis has been associated with dermatomycosis in snakes and tuataras in captive collections and P. australasiensis was recently identified as the cause of skin infections in non-native wild panther chameleons (Furcifer pardalis) in Florida, USA. Here we describe five cases of Paranannizziopsis spp. associated with skin lesions in wild snakes in North America and one additional case from a captive snake from Connecticut, USA. In addition to demonstrating that wild Nearctic snakes can serve as a host for these fungi, we also provide evidence that the genus Paranannizziopsis is widespread in wild snakes, with cases being identified in Louisiana (USA), Minnesota (USA), Virginia (USA), and British Columbia (Canada). Phylogenetic analyses conducted on multiple loci of the fungal strains we isolated identified P. australasiensis in Louisiana and Virginia; the remaining strains from Minnesota and British Columbia did not cluster with any of the described species of Paranannizziopsis, although the strains from British Columbia appear to represent a single lineage. Finally, we designed a pan-Paranannizziopsis real-time PCR assay targeting the internal transcribed spacer region 2. This assay successfully detected DNA of all described species of Paranannizziopsis and the two potentially novel taxa isolated in this study and did not cross-react with closely related fungi or other fungi commonly found on the skin of snakes. The assay was 100% sensitive and specific when screening clinical (skin tissue or skin swab) samples, although full determination of the assay’s performance will require additional follow up due to the small number of clinical samples (n=14 from 11 snakes) available for testing in our study. Nonetheless, the PCR assay will provide an important tool in further investigating the prevalence, distribution, and host range of Paranannizziopsis spp. and facilitate more rapid diagnosis of Paranannizziopsis spp. infections which are otherwise difficult to differentiate from other dermatomycoses.

Tags: biota, canada, paranannizziopsis, real-time-pcr, snake, united-states, usgs-6499ac2ad34ef77fcb02b0cf, wildlife-disease
Organization: Department of the Interior
Hybrid bathymetric-topographic digital elevation model for the Missouri River at Searcys Bend, near Columbia, Missouri

The dataset contains a hybrid bathymetric-topographic digital elevation model (DEM) of the Missouri River at Searcys Bend, near Columbia, Missouri. The DEM was generated within ArcGIS by compositing bathymetric data from multiple single and multibeam sonar surveys collected between September 2019 and July 2021 with previously existing topographic data collected from airborne LiDAR into a triangulated irregular network (TIN). The resulting TIN was then manually edited and exported as a raster for use in developing a hydrodynamic model.

Tags: aquatic-biology, hydrology, inlandwaters, usgs-6499bff2d34ef77fcb02b21d, water-resources
Organization: Department of the Interior
Raster dataset of mapped water-level changes in the High Plains aquifer, predevelopment (about 1950) to 2019

The High Plains aquifer extends from approximately 32 to 44 degrees north latitude and 96 degrees 30 minutes to 106 degrees west longitude. The aquifer underlies about 175,000 square miles in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming. This digital dataset consists of a raster of water-level changes for the High Plains aquifer, predevelopment (about 1950) to 2019. It was created using water-level measurements from 2,741 wells measured in both the predevelopment period (about 1950) and in 2019, the latest available static water level measured in 2015 to 2018 from 71 wells in New Mexico and using other published information on water-level change in areas with few water-level measurements. The map was reviewed for consistency with the relevant data at a scale of 1:1,000,000. Negative raster-cell values correspond to decline in water level and positive raster-cell values correspond to water-level rise.

Tags: aquifers, colorado, contouring, geoscientificinformation, geospatial-analysis, great-plains, groundwater, groundwater-level, high-plains, high-plains-aquifer, hydrogeology, inlandwaters, kansas, nebraska, new-mexico, ogallala-aquifer, oklahoma, south-dakota, texas, usgs-6499c01dd34ef77fcb02b220, water-level-change, wyoming
Organization: Department of the Interior