AndreaBozzo/ceres-open-data-index huggingface dataset:
Corbicula spp. locations in the United States from 1964 to 2019

The dataset consists of Corbicula (Asian clam) collection locations from rivers and streams of the United States.

Tags: asian-clam, biota, bivalves, corbicula, invasive-species, puerto-rico, united-states, usgs-5f69fbca82ce38aaa2448eda
Organization: Department of the Interior
Presence and prevalence of pathogens among amphibians of Catoctin Mountain Park, 2014

Data described herein was collected by USGS personnel and the project funded by USGS and the National Park Service (Catoctin Mountain Park) through a FY14 NRPP project involving both agencies and developed to detect the presence and prevalence of ranavirus and chytrid pathogens among amphibians of Catoctin Mountain Park (CATO).  Supplemental molecular analyses were performed on behalf of LSC by the molecular biology laboratory at Hagerstown Community College whereby students performed the molecular diagnostic testing and provided the raw data to LSC for analysis. There is no data sharing agreement specifying ownership, but the data was presented to the NPS CATO staff to help guide their management decision-making related to amphibians and disease susceptibility.  This body of data is stored in spreadsheet format.

Tags: candidate-publication, complete, connected, kearneysville, medium, usgs-5f63b28482ce38aaa23b0478
Organization: Department of the Interior
Measured sections and paleocurrent data from fluvial deposits of the Upper Cretaceous-Paleogene Raton and Poison Canyon Formations, Raton Basin, Colorado-New Mexico, USA

This document provides two data sets that characterize outcrops of fluvial deposits of the Upper Cretaceous-Paleogene Raton and Poison Canyon Formations of the Raton Basin of Colorado-New Mexico, USA. First, the dataset includes stratigraphic sections measured through fluvial deposits of the Raton and Poison Canyon Formations (ten unique .tif files), currently exposed in roadside outcrops. Second, the dataset includes raw paleocurrent data (one .csv file) measured from features within those outcrops. The data support a journal article entitled "Evidence for variable precipitation and discharge from Upper Cretaceous-Paleogene fluvial deposits of the Raton Basin, Colorado-New Mexico, USA", published by the authors in the Journal of Sedimentary Research.

Tags: cenozoic-era, cretaceous-period, fluvial, geology, late-cretaceous-epoch, mesozoic-era, paleocene-epoch, paleogene-period, sediment-transport, sedimentology, stratigraphy, usgs-5f63bbe482ce38aaa23b0699
Organization: Department of the Interior
Data from the assessment of sediment-retention ponds near Delta, Colorado, 2019

In 2019, soil samples were collected at selected sediment-retention ponds in the Gunnison Gorge National Conservation Area, near Delta, Colorado. This dataset includes pond location, pond characteristics, soil-moisture data, soil-chemistry data, and geophysical data. Pond locations were surveyed using real-time kinematic Global Navigation Satellite Systems (RTK-GNSS) methods and incorporated as a single shapefile in Ponds.zip. Pond characteristics were assessed, and observations were made for assigned surficial-geologic unit, vegetation, check-dam condition, check-dam height, water holding capacity, and stream condition entering and exiting the pond. Pond-characteristic data are incorporated as a single comma-separated values (.csv) file (PondInventory.csv). Soil moisture and chemistry data characterize soil moisture, specific conductance, pH, total dissolved solids, and chloride at selected depths in the soil profile. Soil moisture and chemistry data are presented in a .csv file (SoilData.csv). Geophysical surveys were conducted using a Geophex GEM-2, a hand-held multi-frequency electromagnetic induction sensor. The geophysical surveys were conducted to evaluate soil conductivity differences in and around pond locations and are presented as the unprocessed data from the instrument as a .csv file in GEM-2 data.zip.

Tags: biota, colorado, delta-colorado, delta-county, environment, geophysics, gunnison-gorge-national-conservation-area, location, salinity, soil-chemistry, soil-moisture, usgs-5f63c67682ce38aaa23b0754
Organization: Department of the Interior
National Land Cover Database (NLCD) 2016 Percent Developed Imperviousness Alaska

This update to the Alaska National Land Cover Database (NLCD) 2016 replaces the files dated 20200213.  In this update the landcover footprint was extended along the northern coast to include the islands that were missed in previous versions, and several duplicate roads (offset by 1 or 2 pixels) were removed on the Aleutian Islands. The Alaska National Land Cover Database 2016 was created using change detection between the nominal dates of 2011 and 2016 utilizing Google Earth engine composites of Landsat imagery. Traditionally, previous classifications of Alaska used path row data and spectral comparisons between path rows along with ancillary data to derive areas of change. Alaska has many challenges for land cover classification, with the largest of these being a very short “leaf on” imagery season for acceptable phenology. This is compounded by persistent cloud cover during this growing season, and increasing terrain shadow and sun angle problems outside of this season.  For this reason, the timeframe of 10 years was needed for the first update to the Alaska land cover in order to have enough acceptable imagery between these 2001 and 2011 nominal dates that met these criteria in order to provide reasonable change detection. For 2016, there was not enough complete path row imagery to do this similar change detection. Google Earth engine was employed to create a composite imagery mosaic that uses much smaller pieces of Landsat imagery to create a complete Landsat imagery snapshot used to create change detection between 2011 and 2016. Although this composite technique is not as scientifically rigorous as utilizing direct Landsat imagery, it was the only method available to us during production that would allow completion of change detection in the desired five year timeframe.
The original published 2001 and 2011 Alaska NLCD classifications are generally unchanged, except for slight updates in the northern part of the state to remove perennial ice and snow that were a result of lack of suitable imagery in the 2001 timeframe representing minimum snow and ice extent. See the 2001 and 2011 Land Cover products for the specific metadata process steps associated with the creation of those datasets.

Tags: ak, alaska, digital-spatial-data, gis, imagerybasemapsearthcover, land-cover, land-use-land-cover-theme, national-geospatial-data-asset, ngda, u-s, u-s-geological-survey, united-states, us, usgs, usgs-5f64e9ad82ce38aaa23be0c4
Organization: Department of the Interior
National Land Cover Database (NLCD) 2016 Land Cover - Alaska

This update to the Alaska National Land Cover Database (NLCD) 2016 replaces the files dated 20200213.  In this update the landcover footprint was extended along the northern coast to include the islands that were missed in previous versions, and several duplicate roads (offset by 1 or 2 pixels) were removed on the Aleutian Islands. The Alaska National Land Cover Database 2016 was created using change detection between the nominal dates of 2011 and 2016 utilizing Google Earth engine composites of Landsat imagery. Traditionally, previous classifications of Alaska used path row data and spectral comparisons between path rows along with ancillary data to derive areas of change. Alaska has many challenges for land cover classification, with the largest of these being a very short “leaf on” imagery season for acceptable phenology. This is compounded by persistent cloud cover during this growing season, and increasing terrain shadow and sun angle problems outside of this season.  For this reason, the timeframe of 10 years was needed for the first update to the Alaska land cover in order to have enough acceptable imagery between these 2001 and 2011 nominal dates that met these criteria in order to provide reasonable change detection. For 2016, there was not enough complete path row imagery to do this similar change detection. Google Earth engine was employed to create a composite imagery mosaic that uses much smaller pieces of Landsat imagery to create a complete Landsat imagery snapshot used to create change detection between 2011 and 2016. Although this composite technique is not as scientifically rigorous as utilizing direct Landsat imagery, it was the only method available to us during production that would allow completion of change detection in the desired five year timeframe.
The original published 2001 and 2011 Alaska NLCD classifications are generally unchanged, except for slight updates in the northern part of the state to remove perennial ice and snow that were a result of lack of suitable imagery in the 2001 timeframe representing minimum snow and ice extent. See the 2001 and 2011 Land Cover products for the specific metadata process steps associated with the creation of those datasets.

Tags: ak, alaska, digital-spatial-data, gis, imagerybasemapsearthcover, land-cover, land-use-land-cover-theme, national-geospatial-data-asset, ngda, u-s, u-s-geological-survey, united-states, us, usgs, usgs-5f650b8682ce38aaa23be1bd
Organization: Department of the Interior
Observations and model simulations of umbrella-cloud growth during eruptions of Mount Pinatubo (Philippines, June 15, 1991), Kelud Volcano (Indonesia, February 14, 2014), and Calbuco Volcano (Chile, April 22-23, 2015)

Model output to accompany the paper "Comparing Simulations of Umbrella-Cloud Growth and Ash Transport with Observations from Pinatubo, Kelud, and Calbuco Volcanoes", by L.G. Mastin and Alexa Van Eaton, published by the journal Atmosphere.  The data release includes model input and output used to generate figures in the paper.

Tags: aviation-safety, gunung-kelud, mount-pinatubo, usgs-5f6522d682ce38aaa23bf509, volcanic-activity, volcano-calbuco
Organization: Department of the Interior
Cenozoic Calcareous Nannofossil Occurrences from South Atlantic Coastal Plain Cores

In this data release, Cenozoic calcareous nannofossil occurrence charts are provided as Microsoft Excel spreadsheets for 17 cores from the South Atlantic Coastal Plain (North Carolina, South Carolina, and Georgia)  Samples have been assigned a USGS sample number and are organized by depth below the land surface.  Based on their known stratigraphic position, lithology, and specific calcareous nannofossil species content, each sample, where possible, was assigned to a geologic formation, age, and standard Martini (1971) calcareous nannofossil biostratigraphic zone. 
Five additional reference files are provided: (1) location information for each core, well, or outcrop, (2) a list of calcareous nannofossil species found in the Gulf and Atlantic Coastal Plains, (3) a summary showing in which calcareous nannofossil zones calcareous nannofossil species have been found in the Gulf and Atlantic Coastal Plains, (4) a selected list of relevant scientific publications, and (5) a data dictionary that provides a line-by-line and column-by-column listing of what is found in each Excel spreadsheet.
All the calcareous nannofossil species names have been updated to be consistent with current nomenclature.  As an aid to understanding how biostratigraphic zone assignments were determined, specific species that were used to determine a calcareous nannofossil zone are highlighted, as are anomalous species occurrences resulting from natural physical or biological processes such as sediment reworking or burrowing.

Tags: biostratigraphy, biota, calcareous-nannoplankton, cenozoic, coastal-zones, core-analysis, eocene, faunal-and-floral-census-microscopic, fossils, fus13-georgia, fus37-north-carolina, fus45-south-carolina, micropaleontology, miocene, neogene, oligocene, paleocene, paleogene, pliocene, south-atlantic-coastal-plain, stratigraphic-sections, tertiary, usgs-5f689e6582ce38aaa242524a
Organization: Department of the Interior
Optical and sediment measurements collected from the Colorado River, near Parshall, Colorado, June 13, 2019

To support an investigation of the feasibility of measuring river bathymetry using remotely sensed data acquired from a small unmanned aircraft system (sUAS), remotely sensed bathymetry and field measurements were collected from two cross-sections on Colorado River near Parshall, CO on June 13, 2019. The data in this release include optical measurements using the following sensors: WET Labs ECO, WET Labs ac-s, and LISST 100x. The WET Labs ECO provides measurements of turbidity and chlorophyll and colored dissolved organic matter concentration. The WET Labs ac-s provides information of the absorption and attenuation coefficients of the water sampled across a range of wavelengths. The LISST 100x provides information on the mean grain size of sediment in suspension and the concentration of suspended sediment.

Tags: absorption-coefficient, attenuation-coefficient, chlorophyll, inherent-optical-properties, optical-characteristics, sediment, turbidity, usgs-5f68aa4682ce38aaa2425271, water
Organization: Department of the Interior
Optical and sediment measurements collected from the Blue River and Colorado River, near Kremmling, Colorado, October 17, 2018

To support an investigation of the feasibility of measuring river bathymetry using remotely sensed data acquired from a small unmanned aircraft system (sUAS), remotely sensed bathymetry and field measurements were collected from two cross-sections on the Blue River and two cross-sections on the Colorado River near Kremmling, CO on October 17-18, 2018. The data in this release include optical measurements using the following sensors: WET Labs ECO, WET Labs ac-s, and LISST 100x. The WET Labs ECO provides measurements of turbidity and chlorophyll and colored dissolved organic matter concentration. The WET Labs ac-s provides information of the absorption and attenuation coefficients of the water sampled across a range of wavelengths. The LISST 100x provides information on the mean grain size of sediment in suspension and the concentration of suspended sediment.

Tags: absorption-coefficient, attenuation-coefficient, blue-river, chlorophyll, colorado-river, inherent-optical-properties, optical-characteristics, sediment, turbidity, usgs-5f68b08482ce38aaa2425288, water
Organization: Department of the Interior
Optical measurements collected from the Colorado River, near Lees Ferry, Arizona, September 23, 2019

To support an investigation of the feasibility of measuring river bathymetry using remotely sensed data, remotely sensed bathymetry and field measurements were collected on the Colorado River near Lees Ferry, AZ on September 23, 2019. The data in this release include optical measurements using the following sensors: WET Labs ECO, and WET Labs ac-s. The WET Labs ECO provides measurements of turbidity and chlorophyll and colored dissolved organic matter concentration. The WET Labs ac-s provides information of the absorption and attenuation coefficients of the water sampled across a range of wavelengths.

Tags: absorption-coefficient, attenuation-coefficient, chlorophyll, inherent-optical-properties, optical-characteristics, turbidity, usgs-5f68b36e82ce38aaa242529e, water
Organization: Department of the Interior
Physical and chemical characteristics of samples collected in the East Poplar oil field study area, Fort Peck Indian Reservation, 1952-2016

These produced datasets include water-quality and quality assurance results collected by the USGS and other entities from 1952 to 2016 near the City of Poplar as well as throughout the East Poplar oil field, leachate results collected from drilling core within the Cretaceous Bearpaw Formation and Monoammonium phosphate (MAP) fertilizer results collected by the USGS in 2012. The handling and disposal of the brine has resulted in contamination of not only the shallow aquifers in the East Poplar oil field, but also the Poplar River (Thamke and Craigg, 1997; Thamke and Smith, 2014). The shallow aquifers are the only available source of potable groundwater in the area, and had provided water for more than 100 residents with household wells northeast of Poplar in addition to 2,900 residents that relied on the city of Poplar public water-supply wells. The city of Poplar, headquarters of the Fort Peck Tribal government, is down-gradient from multiple sources of brine and brine-contaminated groundwater in the East Poplar oil field. Data collected by the USGS during 2009–10 confirmed that water from the city of Poplar’s public water-supply wells were enriched in constituents that are present in oil-field brines (Peterman and others, 2010). As a result of the affected public-water supply wells, a pipeline was completed during 2011 that supplies treated water from the Missouri River to the city of Poplar and nearby residents, replacing the use of the shallow aquifers as a source of water (Debi Madison, Fort Peck Tribes, written commun., 2013).

Tags: city-of-poplar, east-poplar-oil-field, fort-peck-indian-reservation, fort-peck-office-of-environmental-protection, montana, public-water-supply, shallow-aquifer, usgs-5f69328882ce38aaa2425591, water-quality
Organization: Department of the Interior
Predicting water temperature in the Delaware River Basin: 5 Model prediction data

&lt;p&gt;Several models were used to improve water temperature prediction in the Delaware River Basin.
&lt;p&gt;PRMS-SNTemp was used to predict daily temperatures at 456 stream reaches in the Delaware River Basin. Daily stream temperature predictions for inflow and outflow reaches for Cannonsville and Pepacton reservoirs were pulled aside into a separate csv to be used as inputs to the General Lake Model (GLM). Reservoir outflow predictions and in-reservoir temperature predictions were generated with calibrated models built using GLM v3.1. We calculated a decay rate based on the modeled reservoir outflow temperatures and observed downstream river temperature to estimate the decay of the reservoir influence on stream temperature as a function of distance downstream of a reservoir. These decay rates from Pepacton and Cannonsville were used to weight the predictions from GLM and PRMS-SNTemp on the East and West Branch of the Delaware River, respectively, to represent the mix of stream and reservoir processes that affect temperature dynamics. These weighted values were then used to pre-train the deep learning models that were used to forecast temperature. More details on these methods can be found in Zwart and others 2021.
&lt;p&gt;Code that generated these results can be found in Zwart and others 2021 (https://doi.org/10.5281/zenodo.5164910).

Tags: de, deep-learning, delaware, environment, forecast, hybrid-modeling, inlandwaters, machine-learning, maryland, md, modeling, new-jersey, new-york, nj, ny, pa, pennsylvania, reservoirs, streams, temperature, united-states, us, usgs-5f6a28a782ce38aaa2449137, water, water-resources
Organization: Department of the Interior
USGS National and Global Oil and Gas Assessment Project - Williston Basin, Lower Paleozoic Conventional Assessment Unit Boundaries and Assessment Input Data Forms

This data release contains the boundaries of assessment units and input data for the assessment of undiscovered oil and gas resources in the Lower Paleozoic of the Williston Basin province in Montana, North Dakota and South Dakota. 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, continuous-assessment-unit, energy-resources, geology, geoscientificinformation, interlake-stonewall-stony-mountain-eastern-margin-reservoirs, interlake-stonewall-stony-mountain-fairway-reservoirs, national-assessment-of-oil-and-gas, natural-gas, natural-gas-resources, noga2000, oil, oil-resources, oilgas, petroleum, red-river-eastern-margin-reservoirs, red-river-fairway-reservoirs, resource-assessment, state-of-montana, state-of-north-dakota, state-of-south-dakota, unconventional-assessment-unit, united-states-of-america, usgs-5f6a541c82ce38aaa24493bd, winnipeg-eastern-margin-reservoirs, winnipeg-fairway-reservoirs
Organization: Department of the Interior
Magnetotelluric data from Minnesota, Wisconsin, and Upper Michigan, 2015-2019, station eup518

This dataset consists of 176 wideband magnetotelluric (MT) stations collected from 2015-2019 across parts of Minnesota, Wisconsin and the Upper Peninsula of Michigan. 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 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 eup518 in the Eastern Upper Peninsula survey region. A shapefile with station information for all stations in this dataset is available at https://doi.org/10.5066/P9G2Y71H.

Tags: animikie-basin, apparent-resistivity, archean, ashland-syncline, bayfield-peninsula, conductivity, duluth-complex, electromagnetic-surveying, exploration, geologic-structure, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, impedance, keweenaw-peninsula, lake-superior, magnetic-field-earth, magnetotelluric-surveying, magnetotellurics, mesoproterozoic, michigan, midcontinent-rift, mineral-resources, mineral-resources-program, minnesota, mrp, mt, paleoproterozoic, penokean-orogen, phanerozoic, phase, quaternary, tectonics, time-series, tipper, upper-peninsula, usgs-5f6a5a1682ce38aaa24493d8, wisconsin, wisconsin-magmatic-terranes
Organization: Department of the Interior