AndreaBozzo/ceres-open-data-index huggingface dataset:
Streamflow gain/loss in the Republican River Basin, Nebraska, October 1981

This arc and point data set contains streamflow-measurement sites and
reaches indicating streamflow gain or loss under base-flow conditions
along the Republican River and tributaries in Nebraska during October
19 to 20, 1981 (Engel and others, 1984).  The streamflow measurements
were made to obtain data on ground-water/surface-water interaction.
Flow was observed visually to be zero, was measured, or was estimated
at 105 sites.  The measurements were made on the main stem of the
Republican River and all flowing tributaries that enter the Republican
River between Muddy Creek in western Furnas County and Harlan County
Reservoir in the Nebraska part of the Republican River Basin. Tributaries
were followed upstream until the first road crossing where zero flow was
encountered. For selected streams, points of zero flow upstream of the
first zero flow site were also checked.
Streamflow gain or loss for each stream reach was calculated by
subtracting the streamflow values measured at the upstream end of
the reach and values for contributing tributaries from the
downstream value.  The data obtained reflected base-flow conditions
suitable for estimating streamflow gains and losses for
stream reaches between sites.
This digital data set was created by manually splitting the lines
from a 1:250,000 hydrography data set (Soenksen and others, 1999) at
every streamflow measurement site.  Each set of stream segments between
measurement sites was assigned a unique reach number.

Tags: base-flow, environment, furnas-county, gain-loss, geoscientificinformation, inlandwaters, low-flow-investigations, nebraska, republican-river, republican-river-basin, seepage-run, streamflow, usgs-20933a8b-4648-4bc3-827b-dca3dafd87c6
Organization: Department of the Interior
Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data

&lt;p&gt;This data release provides all data and code used in Rahmani et al. (2020) to model stream temperature and assess results. Briefly, we used a subset of the USGS GAGES-II dataset as a test case for temperature prediction using deep learning methods. The associated manuscript explores the value of including stream discharge as a predictor in the temperature models, including the value of predicted discharge from a separate model when no discharge measurements are available.&lt;/p&gt; &lt;p&gt;The data are organized into these items:&lt;/p&gt; &lt;ol&gt; &lt;li&gt;&lt;a href="https://www.sciencebase.gov/catalog/item/5f908db182ce720ee2d0fef9"&gt;Spatial Information&lt;/a&gt; - Locations of the 118 monitoring sites used in this study&lt;/li&gt; &lt;li&gt;&lt;a href="https://www.sciencebase.gov/catalog/item/5f986594d34e198cb77ff084"&gt;Observations&lt;/a&gt; - Water temperature observations for the 118 sites used in this study&lt;/li&gt; &lt;li&gt;&lt;a href="https://www.sciencebase.gov/catalog/item/5f9865abd34e198cb77ff086"&gt;Model Inputs&lt;/a&gt; - Model inputs, including basin attributes, weather drivers, and discharge&lt;/li&gt; &lt;li&gt;&lt;a href="https://www.sciencebase.gov/catalog/item/5f9865cfd34e198cb77ff088"&gt;Models&lt;/a&gt; - Code and configurations for the stream temperature models&lt;/li&gt; &lt;li&gt;&lt;a href="https://www.sciencebase.gov/catalog/item/5f9865e5d34e198cb77ff08a"&gt;Model Predictions&lt;/a&gt; - Predictions of stream water temperature&lt;/li&gt; &lt;li&gt;&lt;a href="https://www.sciencebase.gov/catalog/item/5f9865fbd34e198cb77ff08c"&gt;Model Evaluation&lt;/a&gt; - Performance metrics for each stream temperature model&lt;/li&gt; &lt;/ol&gt; &lt;p&gt;This research was funded by the Integrated Water Prediction Program at the US Geological Survey.&lt;/p&gt;

Tags: al, alabama, de, deep-learning, delaware, environment, ga, georgia, ia, id, idaho, inlandwaters, iowa, kansas, ks, ma, machine-learning, maine, maryland, massachusetts, md, me, mi, michigan, mississippi, modeling, ms, nc, nevada, new-jersey, new-mexico, new-york, nj, nm, north-carolina, nv, ny, oh, ohio, ok, oklahoma, or, oregon, pa, pennsylvania, rhode-island, ri, sc, south-carolina, streams, tennessee, texas, tn, tx, united-states, us, usgs-5f908bae82ce720ee2d0fef2, ut, utah, va, virginia, wa, washington, water-resources, water-temperature, west-virginia, wi, wisconsin, wv, wy, wyoming
Organization: Department of the Interior
U-Pb ages of detrital zircons in Paleogene strata of the Gulf Coast

This data release contains 60 detrital zircon age spectra, based on U and Pb isotope ratio measurements for 9399 single grains. The samples are from Paleogene strata of the U.S. Gulf Coast. Of the 9399 single grain measurements, we recommend that 8640 yield ages that are suitable for construction of detrital zircon age spectra. Comments tagged to individual grains explain the reasoning for exclusion of a single grain measurement from age spectra, mostly including high discordance and/or uncertainty. The samples were collected along the strike of the U.S. Gulf Coast basin between western Alabama (the eastern U.S. Gulf Coast) and the Rio Grande river (the southwestern boundary of the U.S. Gulf Coast). The highest sample densities are in Middle (34 samples) and Upper (13 samples) Eocene strata.  The dataset also includes 1 sample from the Midway Group, 7 samples from the Wilcox Group, 2 samples from the Vicksburg Group, 1 sample from the Frio or Vicksburg Group, and 2 samples from the Frio Group. Sample latitudes and longitudes are provided in a table, along with brief summaries of sample locations. All elemental concentrations and isotope ratios were measured with a laser ablation inductively coupled plasma mass spectrometer at the University of California at Santa Barbara. Isotope ratios were input into the age equations using the IsoPlot 4.1 software package, including decay constants for uranium-238 of 1.55125x10^-10 and for uranium-235 of 9.8485x10^-10.

Tags: alabama, arkansas, basin-analysis, detrital-zircon-geochronology, kentucky, mississippi, provenance, sediment-routing, sedimentary-geology, tennessee, texas, u-s-gulf-coast, usgs-5b9bb987e4b02ff63f6f9c83
Organization: Department of the Interior
Pocahontas No. 3 Coal Bed Point Data (Chemistry) in Virginia and West Virginia

This dataset (located by latitude and longitude) is a subset of the
geochemical dataset found in Chap. H, Appendix 2, Disc 1, and used
in this study of the Pocahontas No. 3 coal bed. That dataset is a
compilation of data from the U.S. Geological Survey's (USGS) National
Coal Resources Data System (NCRDS) USCHEM (U.S. geoCHEMical), The
Pennsylvania State University (PSU), and the West Virginia Economic and
Geological Survey (WVGES) coal quality databases. The metadata file for
the complete dataset is found in Chap. H, Appendix 3, Disc 1
(please see it for more detailed information on this geochemical
dataset). This subset of the geochemical data for the Pocahontas No.
3 coal bed includes ash yield, sulfur content, SO2 value, gross
calorific value, arsenic content and mercury content for these
records, as well as the ranking of these values, which is described
later under the attributes in this metadata file. Analytical techniques
are described in the references in Chap. H, Appendix 4, Disc 1. The
analytical data are stored as text fields because many of the parameters
contain letter qualifiers appearing after the numerical data values. The
following is a list of the possible qualifier values: L - less than, G -
greater than, N - not detected, or H - interference that cannot be
easily resolved. Not all of these codes may be in this database.

Tags: appalachians, appbasincoal, bituminous, buchanan-county-va, coal, coal-geochemistry, coal-quality, greenbrier-county-wv, lower-pennsylvanian, mcdowell-county-wv, mercer-county-wv, nca2000, pocahb, pocahontas-no-3-coal, pocahontas-no-3-coal-bed, pottsville-group, raleigh-county-wv, russell-county-va, summers-county-wv, tazewell-county-va, the-pennsylvania-state-university-psu, u-s-bureau-of-mines-usbm, u-s-geological-survey-usgs, usgs-60ac1633d34ea221ce52024d, virginia-division-of-mineral-resources-vdmr, virginia-va, west-virginia-geological-and-economic-survey-wvges, west-virginia-wv, wyoming-county-wv
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2018 Site 4016 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 398 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2018 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Four previous assessments have been conducted (2005, 2008, 2012, and 2015/2016). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-611d2ddad34e40dd9c012b35, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11999 North of Duck Pond Point, New York (H11999_MB2M_UTM.TIF, UTM Zone 18, NAD83)

The U.S. Geological Survey (USGS), in cooperation with the Connecticut Department of Environmental Protection and National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Imagery, originally collected by NOAA for charting purposes, provides a fundamental framework for research and management activities along this part of Long Island Sound, shows the composition and terrain of the seabed, and provides information on sediment transport and benthic habitat. Interpretive data layers were derived from the multibeam echo-sounder data collected north of Duck Pond Point, New York. During April and May 2010, bottom photographs and surficial sediment data were acquired during 2 cruises as part of USGS ground-truth reconnaissance surveys of this area. For more information on the ground-truth surveys see &lt;http://quashnet.er.usgs.gov/data/2010/10010/&gt; and &lt;http://quashnet.er.usgs.gov/data/2010/10015/&gt;.

Tags: atlantic-ocean, bathymetry, cmgp, coastal-and-marine-geology-program, computational-methods, connecticut-department-of-environmental-protection, ct-dep, duck-pond-point, elevation, geospatial-datasets, geotiff, h11999, hill-shaded, imagerybasemapsearthcover, long-island, long-island-sound, marine-geophysics, multibeam-bathymetry, multibeam-sonar, national-oceanic-and-atmospheric-administration, new-york, noaa, noaa-survey-h11999, north-america, oceans, ofr-2011-1149, open-file-report-2011-1149, reson-7125, reson-8101, reson-8125, sea-floor-characteristics, u-s-east-coast, u-s-geological-survey, united-states, usgs, usgs-51b82dca-7f63-4d19-a28d-d5d4b6e502fa, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
2019-333-FA_shots: Digital Chirp Subbottom Profile Shotpoint Data Collected During USGS Field Activity Number 2019-333-FA Offshore of the Rockaway Peninsula, New York, September–October 2019

From September 27 through October 5, 2019, the U.S. Geological Survey (USGS) conducted geophysical surveys to investigate the geologic controls on barrier island evolution and sediment transport offshore of the Rockaway Peninsula, New York. This shapefile represents a point dataset of field activity number (FAN) 2019-333-FA chirp subbottom profile 1,000-shot-interval locations.

Tags: 1000-shot-interval-locations, 2019-333-fa, barrier-island-mapping, chirp, coastal-processes, far-rockaway, geology, geoscientificinformation, geospatial-datasets, location, marine-geology, navigational-data, new-york, north-atlantic, oceans, seismic-reflection, sub-bottom-profiling, usgs-d918121c-59a3-4136-957e-3730f67a8b6a
Organization: Department of the Interior
LANDFIRE 2023 Fuel Vegetation Cover (FVC) CONUS

LANDFIRE’s 2023 Update (LF 2023) Fuel Vegetation Cover (FVC) product represents the LF Existing Vegetation Cover (EVC) product, modified to represent pre-disturbance EVC in areas where disturbances have occurred over the past 10 years. In LF 2023, vegetation products are created through an image-based process (within the Conterminous United States (CONUS)) that assesses canopy structure (Forest Canopy Height (CH) and Cover (CC)). EVC is mapped as continuous estimates of canopy cover for tree, shrub, and herbaceous lifeforms with a potential range from 10% to 100%. Continuous EVC values are binned to align with fuel model assignments when creating FVC. FVC is an input for fuel transitions related to disturbance and fuel products in LF 2023 were created with LF 2016 Remap vegetation in non-disturbed areas. 
To designate disturbed areas where FVC is modified, the aggregated Annual Disturbance products from 2014 to 2023 in the LF Fuel Disturbance (FDist) product are used. All existing disturbances between 2014-2023 are represented in LF 2023, and the products are intended to be used in 2024 (the year of release).  
When using any product from the LF 2023 fuel product suite, users should consider adjusting fuel layers for disturbances that occurred after the end of the 2023 fiscal year (after October 1st, 2023). Disturbances that occurred after the end of the 2023 fiscal year are not accounted for within LF 2023 fuel products. Learn more about LF 2023 at https://www.landfire.gov/data/lf2023.

Tags: biota, conterminous-united-states, continental-u-s, conus, evc, existing-vegetation-cover, fires, fuel-vegetation-cover, fvc, geographic-information-systems, geospatial-datasets, hazard-preparedness, image-collections, imagerybasemapsearthcover, landfire-2023, lf-2023, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-6749cc55d34e9698b1b3e843
Organization: Department of the Interior
Sediment-Texture Units of the Sea Floor for Vineyard and western Nantucket Sounds, Massachusetts (polygon shapefile, Geographic, WGS84)

Geologic, sediment texture, and physiographic zone maps characterize the sea floor of Vineyard and western Nantucket Sounds, Massachusetts. These maps were derived from interpretations of seismic-reflection profiles, high-resolution bathymetry, acoustic-backscatter intensity, bottom photographs, and surficial sediment samples. The interpretation of the seismic stratigraphy and mapping of glacial and Holocene marine units provided a foundation on which the surficial maps were created. This mapping is a result of a collaborative effort between the U.S. Geological Survey and the Massachusetts Office of Coastal Zone Management to characterize the surface and subsurface geologic framework offshore of Massachusetts.

Tags: aquinnah, atlantic-ocean, backscatter, bathymetry, bottom-photographs, bottom-type, cape-cod, cape-poge, cmgp, coastal-and-marine-geology-program, cuttyhunk-island, czm, edgartown, elizabeth-islands, esri-shapefile, falmouth, geospatial-datasets, gosnold, hedge-fence-shoal, interpretation, lhommedieu-shoal, lucas-shoal, marine-geology, marthas-vineyard, massachusetts-office-of-coastal-zone-management, menemsha, middle-ground-shoal, nantucket-sound, nashawena-island, naushon-island, nonamesset-island, oak-bluffs, oceans, pasque-island, scientific-interpretation, sea-floor, sea-floor-characteristics, sediment-cover, sediment-distribution, sediment-samples, sediment-texture, seismic-reflection-profiles, slope, squash-meadow-shoal, succonnesset-point, succonnesset-shoal, topography, u-s-geological-survey, usgs, usgs-11c25875-20e4-422d-a8fa-1e87376768cf, vineyard-haven, vineyard-sound, whcmsc, woods-hole, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Water surface elevation longitudinal profile data for a 10-km reach of the Missouri River at Sheepnose Bend, near Lexington, Missouri

The consists of longitudinal water surface profiles collected in a 10-km reach of the Missouri River at Sheepnose Bend downstream from Lexington, Missouri. Water surface elevation profiles were generated from data collected by USGS staff from the Columbia Environmental Research Center during multibeam sonar surveys of the channel bed in 2019, 2020, and 2021.

Tags: hydrology, missouri, missouri-river, missouri-river-basin, usgs-5d1283bde4b0941bde56eb11
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, 2015, 2018, and 2021 Site 0685 land-water matrix

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring to determine the efficacy of these projects. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. This dataset consists of a matrix of six land-water products (2005, 2008, 2012, 2015, 2018, and 2021).  The resulting matrix has 64 possible classes defined by the combination of land and water categories on those six dates.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-656a0039d34e6dde1a4ae32a, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Mineral Commodity Summaries 2025 -World Production, Capacity, and Reserves

This data release contains the world production data extracted from the commodity chapters in the USGS Mineral Commodity Summaries 2025.

Tags: ferromanganese, manganese, manganese-dioxide, metallic-mineral-resources, silicomanganese, usgs-6798fd34d34ea8c18376e8ee
Organization: Department of the Interior
Alaska permafrost characterization: Geophysical and related field data collected from 2016-2017

Electrical resistivity tomography (ERT), downhole nuclear magnetic resonance (NMR), and manual permafrost-probe measurements were used to quantify permafrost characteristics along transects within several catchments in interior Alaska in late summer 2016 and 2017.  Geophysical sites were chosen to coincide with additional soil, hydrologic, and geochemical measurements adjacent to various low-order streams and tributaries in a mix of burned and unburned watersheds in both silty and rocky environments.  Data were collected in support of the Striegl-01 NASA ABoVE project, "Vulnerability of inland waters and the aquatic carbon cycle to changing permafrost and climate across boreal northwestern North America."  Additional geophysical measurements were conducted at the Bonanza Creek LTER and at a thermokarst bog site.  ERT transects were 100 - 200 m in length, and produce models of electrical resistivity structure to depths of 10 - 15 m that indicate the distribution of frozen ground with high spatial resolution.  Manual permafrost-probe measurements were made periodically along ERT transects to validate the depth to the top of permafrost.  Downhole NMR measurements were made at select locations near the ERT transects to quantify in situ unfrozen water content and to help constrain interpretations of electrical resistivity models.

Tags: active-layer-thickness, borehole-nuclear-magnetic-resonance, disturbance, environment, fire, fires, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, gggsc, hydrologic-processes, organic-layer-thickness, permafrost, resistivity, resistivity-profiling, soil-moisture, soils, usgs-5b04dd02e4b0d8682b9636c2
Organization: Department of the Interior
Output Files from Hydrologic Simulations for the Conterminous United States for Historical and Future Conditions Using the National Hydrologic Model Infrastructure (NHM) and the Coupled Model Intercomparison Project Phase 5 (CMIP5) with Dynamic Land Cover

The continental United States (CONUS) was modeled to produce simulations of historical and potential future streamflow using the Precipitation-Runoff Modeling System (PRMS) application of the USGS National Hydrologic Model infrastructure (NHM; Regan and others, 2018). This child page specifically contains outputs of streamflow for each stream segment in the model domain and is based on parameterization with dynamic land cover. The parameters that were allowed to vary were related to dominant land cover type, percent impervious area, and precipitation interception by the plant canopy and snowpack.The PRMS parameters describing vegetation and impervious area were derived from annual estimates of land cover to incorporate land-cover dynamics in the hydrologic simulations (further described in LaFontaine and others, 2019). Simulations were conducted  for each of the global circulation models (GCMs) and relative concentration pathways (RCPs) presented in table1_GCMs_used.csv.

Tags: air-temperature, inlandwaters, model, precipitation-atmospheric, streamflow, streamflow-modeling, usgs-63890125d34ed907bf78e97f
Organization: Department of the Interior