AndreaBozzo/ceres-open-data-index huggingface dataset:
Acoustic doppler current profiler (ADCP) transect data at Benicia Bridge and Mallard Island, 2019

Field observations of water and suspended-sediment fluxes were conducted at Benicia Bridge and Mallard Island during the 2019 water year wet season to capture suspended-sediment flux during elevated Sacramento–San Joaquin Delta discharge. Measurements occurred on two occasions: 1) 26th of February 2019 at Benicia Bridge and Mallard Island, following a storm event that increased delta outflow and 2) 10th April 2019 at Benicia Bridge, following peak delta outflow for the 2019 water year.  On both occasions, flux of water and suspended sediment were estimated using data from a boat-mounted acoustic Doppler current profiler.  This instrument provided high-resolution velocity and acoustic backscatter (ABS) data at a cross-section (“transect”) near the estuary-ocean boundary, approximately 1.5 km seaward (southwest) of Benicia Bridge and 150 m landward (east) of Mallard Island.  These data are provided here in the manufacturer's ASCII format, as described in README.txt file associated with this data release.

Tags: acoustic-doppler-current-profiling, benicia, biota, california, contra-costa, river-discharge, solano, suisun-bay, usgs-6054c8fdd34e1894882d07f5
Organization: Department of the Interior
Isopach, lithic isopleth, and pyroxene, Fe-Ti oxide, and plagioclase geochemistry data for the Orange Tuff, West Java, Indonesia

The Orange Tuff is an informally named tephra-fall deposit that crops out extensively in the volcanic highlands to the south and southwest of Bogor, West Java, Indonesia.  The data included in this data release documents the deposit thickness and maximum sizes of lithics present at sites throughout its distribution.  Additional tables document dispersal areas calculated from within hand-drawn isopach and lithic isopleth maps based on the aforementioned thickness and lithic size data.  Such area measurements will be used in the related subsequent publication listed in the metadata to derive eruption and deposit characteristics such as bulk volume and column height and to help determine the source volcano.  The isopach and isopleth maps will also be reported as figures in the subsequent publication.  Additional tables contain geochemical data from electron microprobe analyses of constituent plagioclase, Fe-Ti oxides, and orthopyroxenes.  All analyses were carried out at Nanyang Technological University's electron microprobe laboratory.  Analyses for plagioclase and pyroxenes were carried out using a 10 μm beam diameter, 15 keV accelerating voltage, and 20 nA beam current.  Analyses for Fe-Ti oxides were carried out using a concentrated point beam, 15 keV accelerating voltage, and 20 nA beam current.  Repeat geochemical analyses of standard reference materials yielded analytical uncertainty at the 99% confidence level of less than 1% of reported values.  Detection limits for analyses of Fe-Ti oxides are as follows: TiO2 (0.02%), Al2O3 (0.013%), Cr2O3 (0.019%), FeO (0.018%), MnO (0.013%), MgO (0.011%).  Detection limits for analyses of pyroxenes are as follows: SiO2 (0.02%), TiO2 (0.02%), Al2O3 (0.013%), FeO (0.013%), MnO (0.013%), MgO (0.011%), Na2O (0.007%).  Detection limits for analyses of plagioclase are as follows: SiO2 (0.02%), TiO2 (0.02%), Al2O3 (0.011%), FeO (0.018%), MnO (0.013%), MgO (0.01%), CaO (0.006%), Na2O (0.007%), and K2O (0.004%).  To maintain data quality, plagioclase and pyroxene analyses with totals below 98.5% and exceeding 101% were excluded.  For magnetite, analyses with totals below 91.5% and exceeding 95.25% were excluded, which correspond to totals of 98% and 101% after adjustment for allowable stoichiometric substitution of ferric and ferrous iron were excluded.  For ilmenite, analyses with totals below 96.4% and exceeding 99.7% were excluded, which correspond to totals of 98% and 101% after adjustment for allowable stoichiometric substitution of ferric and ferrous iron were excluded.

Tags: bogor, geochemistry, indonesia, jawa-barat, salak-satu-gunung, usgs-59cadabee4b017cf3140959e, volcanic-rocks, volcanology
Organization: Department of the Interior
Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Average Daily Minimum Temperature, 2002

This tabular data set represents the average daily minimum temperature in Celsius multiplied by 100 for 2002, 
compiled for every MRB_E2RF1 catchment of selected Major River Basins (MRBs, Crawford and others, 2006). 
The source data were the Near-Real-Time High-Resolution Monthly Average Maximum/Minimum Temperature for 
the Conterminous United States for 2002 raster data set produced by the Spatial Climate Analysis Service at 
Oregon State University.
		
The MRB_E2RF1 catchments are based on a modified version of the Environmental Protection Agency's (USEPA) 
ERF1_2 and include enhancements to support national and regional-scale surface-water quality modeling 
(Nolan and others, 2002; Brakebill and others, 2011).
		
Data were compiled for every MRB_E2RF1 catchment for the conterminous United States covering New England and 
Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, and 
Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5), 
the Rio Grande, Colorado, and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and California (MRB8).

Tags: average-monthly-minimum-temperature, cali, california, catchment, cogb, conterminous-united-states, environment, geoscientificinformation, glmr, great-lakes-ohio-upper-mississippi-and-souris-red-rainy, inland-waters, inlandwaters, lmtg, lower-mississippi-arkansas-white-red-and-texas-gulf, major-river-basins, missouri, mori, mrb, mrb1, mrb2, mrb3, mrb4, mrb5, mrb6, mrb7, mrb8, mrb_e2rf1, mrb_e2rf1ws, nawqa, nema, new-england-and-mid-atlantic, pacific-northwest, panw, rio-grande-colorado-and-great-basin, sagt, south-atlantic-gulf-and-tennessee, sparrow, usgs-aaf1493e-d284-4b81-b5b3-a7bca1c13c63
Organization: Department of the Interior
CTD (conductivity-temperature-depth) data collected on Stellwagen Bank on U.S. Geological Survey field activity 2017-009-FA, aboard the R/V Auk, Jan. 30, 2017

This field activity is part of the effort to map geologic substrates of the Stellwagen Bank National Marine Sanctuary 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. This cruise was conducted in collaboration with the Stellwagen Bank National Marine Sanctuary, and the data collected will aid research on the ecology of fish and invertebrate species that inhabit the region. The Sanctuary's research vessel, R/V Auk, visited 13 locations on Stellwagen Bank at which a customized Van Veen grab sampler (SEABOSS) equipped with a video camera and a CTD was deployed in drift mode to collect sediment for grain-size analysis, video imagery of the seabed, and measurements of water column properties.

Tags: atlantic-ocean, chemical-oceanography, cmgp, coastal-and-marine-geology-program, conductivity, ctd, ctd-measurement, depth, environmental-chemistry, fluorescence, geoscientificinformation, marine-chemistry, massachusetts, massachusetts-bay, north-america, ocean-salinity, ocean-sciences, ocean-temperature, oceanographic-observations, oceans, salinity, sbnms, stellwagen-bank, stellwagen-bank-national-marine-sanctuary, temperature, turbidity, u-s-geological-survey, united-states, usgs, usgs-09fa936e-2a4d-43f3-8f13-aa48f647af56, water-density, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Historical shorelines used to calculate rate of shoreline change statistics for New York State coastal wetlands

This dataset includes New York State historical shoreline positions represented as digital vector polylines from 1880 to 2015. Shorelines were compiled from topographic survey sheets from the National Oceanic and Atmospheric Administration (NOAA). Historical shoreline positions can be used to assess the movement of shorelines through time. Rates of shoreline change were calculated in ArcMap 10.5.1 using the Digital Shoreline Analysis System (DSAS) version 5.0.  DSAS uses a measurement baseline method to calculate rate of change statistics.  Transects are cast from the reference baseline to intersect each shoreline, establishing measurement points used to calculate shoreline change rates.  For wetland shorelines these rates can be interpreted as accretion or erosion.

Tags: coastal-processes, digital-shoreline-analysis-system, end-point-rate, erosion, estuary, great-south-bay, hudson-river, jamaica-bay, linear-regression-rate, new-york, new-york-bay, new-york-state, peconic-bay, shoreline-accretion, shoreline-change-rate, u-s-geological-survey, united-states, usgs-5b439c29e4b060350a127035, wetland-ecosystems, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Upper Freeport Coal Bed County Statistics (Chemistry) in Pennsylvania, Ohio, West Virginia, and Maryland

This dataset is a polygon coverage of counties limited to the extent of
the Upper Freeport coal bed resource areas and attributed with
statistics on these coal quality parameters: ash yield (percent), sulfur
(percent), SO2 (lbs per million Btu), calorific value (Btu/lb), arsenic
(ppm) content and mercury (ppm) content. The file has been generalized
from detailed geologic coverages found elsewhere in Professional Paper
1625-C. The attributes were generated from public data found in the
geochemical dataset found in Chap. D, Appendix 8, Disc 1, as well
as some additional proprietary data. Please see the metadata file found
in Chap. D, Appendix 9, Disc 1, for more detailed information on
the geochemical attributes. The county statistical data used for this
data set are found in Tables 2-5 and 17-18, Chap. D, Disc 1. Additional
county geochemical statistics for other parameters are found in Tables
6-16, Chap. D, Disc 1.

Tags: allegany-county-md, allegheny-county-pa, allegheny-group, appalachians, appbasincoal, armstrong-county-pa, athens-county-oh, barbour-county-wv, beaver-county-pa, belmont-county-oh, bituminous, blair-county-pa, brooke-county-wv, butler-county-pa, cambria-county-pa, carroll-county-oh, clarion-county-pa, clearfield-county-pa, coal, coal-geochemistry, coal-quality, columbiana-county-oh, coshocton-county-oh, elk-county-pa, fayette-county-pa, gallia-county-oh, garrett-county-md, grant-county-wv, greene-county-pa, guernsey-county-oh, hancock-county-wv, harrison-county-oh, harrison-county-wv, hocking-county-oh, indiana-county-pa, jackson-county-oh, jefferson-county-oh, jefferson-county-pa, lawrence-county-oh, lawrence-county-pa, mahoning-county-oh, marion-county-wv, marshall-county-wv, maryland-md, meigs-county-oh, mineral-county-wv, monongalia-county-wv, monroe-county-oh, morgan-county-oh, muskingum-county-oh, nca2000, noble-county-oh, ohio-county-wv, ohio-division-of-geological-survey-ohgs, ohio-oh, outcrop, pennsylvania-bureau-of-topographic-and-geologic-survey-pags, pennsylvania-pa, perry-county-oh, preston-county-wv, randolph-county-wv, somerset-county-pa, stark-county-oh, taylor-county-wv, the-pennsylvania-state-university-psu, tucker-county-wv, tuscarawas-county-oh, tyler-county-wv, u-s-bureau-of-mines-usbm, u-s-geological-survey-usgs, ufreepb, upper-freeport-coal, upper-freeport-coal-bed, upper-freeport-no-7-coal, upper-pennsylvanian, upshur-county-wv, usgs-60ad2ae9d34e4043c850eb84, vinton-county-oh, washington-county-oh, washington-county-pa, west-virginia-geological-and-economic-survey-wvges, west-virginia-wv, westmoreland-county-pa, wetzel-county-wv
Organization: Department of the Interior
Chesapeake Bay River Input Monitoring Network 1985-2023: Annual loads

Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring (RIM) Network stations for the period 1985 through 2023. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the RIM watersheds.

Tags: chesapeake-bay-watershed, delaware, kalman-filtering, load-analysis, maryland, new-york, nitrogen, nutrients, pennsylvania, phosphorus, rivers, suspended-sediment, trends, united-states, usgs-66310c72d34ea70bd5f265b7, virginia, washington-dc, water-quality, weighted-regression, west-virginia, wrtds, wrtds-kalman
Organization: Department of the Interior
HW2_Q39.TIF - Hawaii II - Central Hawaii U.S. EEZ GLORIA sidescan-sonar data mosaic (10 of 24) (LCC, 50 m, WGS84)

In 1984, the U.S. Geological Survey (USGS), Office of Marine Geology, launched a program using the Geological LOng-Range Inclined Asdic (GLORIA) sidescan-sonar system to study the entire U.S. Exclusive Economic Zone (EEZ). From 1988 through 1991, the USGS and IOS (Institute of Oceanographic Sciences, U.K.) scientists conducted several surveys within the U.S. EEZ off Hawaii. Nine surveys during that time period focused on the central Hawaii region. The results of these surveys were 24 digital mosaics of approximately a 2 degree by 2 degree area with a 50-meter pixel resolution.

Tags: acoustic-receivers, acoustic-reflectivity, backscatter, brooks-bank, cmgp, coastal-and-marine-geology-program, distributions, east-pacific-rise, eez, exclusive-economic-zone, exclusive-economic-zone-eez, french-frigate-shoals, gardner-pinnacles, geological-long-range-inclined-asdic, geoscientificinformation, geotiff-image, gloria, gloria-gt-geological-long-range-inclined-asdic, grey-scale-image, hawaii, hawaii-ecoregion, hawaiian-arch, hawaiian-emperor-chain, hawaiian-islands, hawaiian-ridge, hawaiian-trough, horizon-guyot, image-mosaics, imagerybasemapsearthcover, infobank-identifier-f-1-90-hw, infobank-identifier-f-1-91-cp, infobank-identifier-f-10-88-hw, infobank-identifier-f-10-91-hw, infobank-identifier-f-12-89-hw, infobank-identifier-f-13-89-hw, infobank-identifier-f-2-90-hw, infobank-identifier-f-5-91-cp, infobank-identifier-f-6-91-cp, kauai-fracture-zone, kure-island, marine-basin-floor, marine-geology, marine-geophysics, marine-oceanic, midway-island, molokai-fracture-zone, murray-fracture-zone, necker-ridge, nihoa-ridge, oceans, oceans-gt-ocean-acoustics-gt-acoustic-reflectivity, oceans-gt-pacific-ocean-gt-central-pacific-ocean-gt-hawaiian-islands, physical-habitats-and-geomorphology, sea-floor-acoustic-reflectivity, sea-floor-characteristics, seabed, side-scan-sonar, sidescan-sonar, sidescan-sonar-mosaic, st-rogatien-bank, u-s-geological-survey, usgs, usgs-d14cddf3-a7ac-4978-a4ed-6deef144ce86, wcmg, western-coastal-and-marine-geology, western-pacific-ocean
Organization: Department of the Interior
Hazard curve data for annual rate of exceedance versus 1.0-second spectral response acceleration

A seismic hazard model for South America, based on a smoothed (gridded) seismicity model, a subduction model, a crustal fault model, and a ground motion model, has been produced by the U.S. Geological Survey.  These models are combined to account for ground shaking from earthquakes on known faults as well as earthquakes on un-modeled faults.
This data set represents the hazard curves for a grid of points with a spacing of 0.1 degrees in latitude and longitude.  It represents the annual rate of exceedance versus 1.0-second spectral response acceleration.

Tags: argentina, bolivia, brazil, chile, colombia, earthquake, ecuador, french-guiana, guyana, hazard, panama, paraguay, peru, risk, seismic, south-america, suriname, trinidad-and-tobago, uruguay, usgs-59558240e4b04e08be532cc1, venezuela
Organization: Department of the Interior
Geochemical data for water, sediment, and biota in areas affected by historical mining, northwestern Sierra Nevada and Trinity Mountains, California

This dataset includes data for water, sediment, and biota samples collected at 250 locations in the northwestern Sierra Nevada and the Trinity Mountains during 1999–2012. The locations were chosen to assess potential effects from historical mining, with a focus primarily on mercury contamination associated with placer gold mines in the Sierra Nevada and the Trinity Mountains, and a hard-rock mercury mine in the Trinity Mountains. Trace elements and major elements were analyzed in selected samples. All analyses of mercury, methylmercury, and (or) trace and major elements in water and sediment were performed by U.S. Geological Survey laboratories. Biota samples (invertebrates, fish, and frogs) were analyzed for mercury, methylmercury and (or) trace elements at the Trace Element Research Laboratory in College Station, Texas.

Tags: biota, chemical-analysis, geoscientificinformation, mercury-contamination, usgs-5f91e00782ce720ee2d33c5b
Organization: Department of the Interior
CMIP5 MACAv2-METDATA Monthly Water Balance Model Projections 1950-2099 for the Contiguous United States

We apply a monthly water-balance model (MWBM) to simulate components of the water balance for the period 1950-2099 under RCP4.5 and RCP8.5 for the Contiguous United States. We use the statistically downscaled MACAv2-METDATA temperature and precipitation data from 20 General Circulation Models (GCMs) from the Climate Model Intercomparison Program Phase 5 (CMIP5) as input to the water balance model. This dataset supports the USGS National Climate Change Viewer.
The statistically downscaled dataset is: 
MACAv2-METDATA: Multivariate Adaptive Constructed Analogs (Abatzoglou &amp; Brown, 2012, bias corrected by METDATA, Abatzoglou, 2013)
Users interested in the downscaled temperature and precipitation files are referred to the dataset home page:
MACAv2-METDATA: http://maca.northwestknowledge.net
The 20 included GCMs are:
bcc-csm1-1-m, bcc-csm1-1, BNU-ESM, CanESM2, CCSM4, CNRM-CM5, CSIRO-Mk3-6-0, GFDL-ESM2G, GFDL-ESM2M, HadGEM2 CC365, HadGEM2-ES365, inmcm4,IPSL-CM5A-LR, IPSL CM5A-MR, IPSL-CM5B-LR, MIROC5, MIROC-ESM, MIROC ESM CHEM, MRI-CGCM3, NorESM1-M

Tags: climatologymeteorologyatmosphere, effects-of-climate-change, environment, evaporation, hydrologic-processes, macav2-metdata, runoff, snow-and-ice-cover, soil-moisture, usgs-609d5ce2d34ea221ce3c6a61
Organization: Department of the Interior
Magnetotelluric data from Missouri, Arkansas, Tennessee, Illinois, and Kentucky, 2016-2019, station rfr126

This dataset consists of 127 wideband and 21 long-period magnetotelluric (MT) stations collected from 2016-2019 across parts of Missouri, Arkansas, Tennessee, Illinois, and Kentucky. The U.S. Geological Survey (USGS) acquired these data as part of regional investigations into the geologic and tectonic framework of the area and to support mineral resource and geologic hazard investigations. These data have been used to generate a 3D regional conductivity model of the area. Files included in this publication include measured electric- and magnetic-field time series as well as estimated impedance and vertical-magnetic field transfer functions. The data included here are for MT station rfr126 in the Reelfoot Rift survey region. A shapefile with station information for all stations in this dataset is available at https://doi.org/10.5066/P9F7HFH7.

Tags: apparent-resistivity, arkansas, conductivity, electromagnetic-surveying, exploration, geologic-structure, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, illinois, impedance, kentucky, magnetic-field-earth, magnetotelluric-surveying, magnetotellurics, mineral-resources, mineral-resources-program, mississippi-embayment, missouri, mrp, mt, ozark-plateau, phanerozoic, phase, precambrian, quaternary, reelfoot-rift, saint-francois-mountains, tectonics, tennessee, time-series, tipper, usgs-5f8ad03082ce32418790250c
Organization: Department of the Interior
Mineral Commodity Summaries 2024 - ABRASIVES (MANUFACTURED) Data Release

This data release contains the U.S. salient statistics and world production data extracted from the ABRASIVES (MANUFACTURED) data sheet of the USGS Mineral Commodity Summaries 2024.

Tags: abrasives, economy, fused-aluminum-oxide, geoscientificinformation, metallic-abrasives, metallic-mineral-resources, silicon-carbide, usgs-65b7d71dd34e36a39045b48a
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2021 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 2021 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. Five previous assessments have been conducted (2005, 2008, 2012, 2015/2016, and 2018). 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-653c1eb3d34ee4b6e05bc474, wetland, wetland-restoration
Organization: Department of the Interior