AndreaBozzo/ceres-open-data-index huggingface dataset:
Analyzing Heterogeneity in Artificially Matured Samples of Bakken Shales (2018)

Solid organic matter (OM) in sedimentary rocks produces petroleum and solid bitumen when it undergoes thermal maturation. The solid OM is a ‘geomacromolecule’, usually representing a mixture of various organisms with distinct biogenic origins, and can have high heterogeneity in composition. Programmed pyrolysis is a common conventional method to reveal bulk geochemical characteristics of the dominant OM while detailed organic petrography is required to reveal information about the biogenic origin of contributing macerals. Despite advantages of programmed pyrolysis, it cannot provide information about the heterogeneity of chemical compositions present in the individual OM types. Therefore, other analytical techniques such as Raman spectroscopy are necessary. In this study, we compared geochemical characteristics and Raman spectra of two sets of naturally and artificially matured Bakken source rock samples. A continuous Raman spectral map on solid bitumen particles was created from the artificially matured hydrous pyrolysis residues, in particular, to show the systematic chemical modifications in microscale. Spectroscopy data was plotted for both sets against thermal maturity to compare maturation rate/path for these two separate groups. The outcome showed that artificial maturation through hydrous pyrolysis does not follow the same trend as naturally-matured samples although having similar solid bitumen reflectance values (%SBRo). Furthermore, Raman spectroscopy of solid bitumen from artificially matured samples indicated the heterogeneity of OM decreases as maturity increases. This represents an alteration in chemical structure towards more uniform compounds at higher maturity. This study may signify the potential of Raman spectroscopy as an alternative to the conventional (pseudo) Van Krevelen diagram, by revealing the underlying chemical changes. Finally, observation by Raman spectroscopy of chemical alteration of OM during artificial maturation may assist in the proposal of improved pyrolysis protocols to better resemble natural geologic processes.

Tags: bakken-shale, devonian-period, heterogeneity, maturation-rate, mississippian-period, montana, north-dakota, organic-matter, paleozoic-era, pyrolysis, raman-spectroscopy, usgs-5bdb08c8e4b0b3fc5cee0c74, williston-basin
Organization: Department of the Interior
Bulk samples of streambed sediment from two reaches of the lower Merced River, California

Bulk samples of streambed sediment were collected from two reaches of the lower Merced River in California's Central Valley to support research intended to evaluate the extent to which large-scale restoration projects provided improved salmon spawning habitat. A related goal of this study was to improve our understanding of the geomorphic factors influencing spawning site selection by salmon.  The bulk samples were acquired during the summer of 2016 at the Merced River Ranch and Robinson Reach field sites using a McNeil sampler [McNeil and Ahnell, 1964]. Before collecting each sample, the surface layer was removed to avoid including surface grains as part of the sample. Surface material was scraped off to a depth equal to the diameter of the largest particle found on the surface. The subsurface material was collected to a depth of 0.3 m and grain size distribution data were obtained by running the bulk sample through a series of sieves with screens ranging from 0.063 - 128 mm [Bunte and Abt, 2001]. We used existing bulk sample data of the initial sediment stockpile of the Robinson Reach, which was collected by California Department of Water Resources in 2002 [CADWR, 2005]. Additional bulk sample data were collected during the summer of 2016 at the Merced River Ranch and Robinson Reach field sites.
References 
Bunte, K., and S. R. Abt (2001), Sampling surface and subsurface particle-size distributions in wadable gravel- and cobble-bed streams for analyses in sediment transport, hydraulics, and streambed monitoring, Gen. Tech. Rep. RMRS-GTR-74,113, Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 428 p. 
CADWR (2005), The Merced River Salmon Habitat Enhancement Project: Robinson Reach Phase III, 159 pp., California Department of Water Resources, San Joaquin District, Fresno, CA.
McNeil, W. J., and W. H. Ahnell (1964), Success of pink salmon spawning relative to size of spawning bed materials, U.S. Fish and Wildlife Service, Special Scientific Report – Fisheries 469, Washington, D.C.

Tags: bulk-sample, california, merced-river, river, salmon, sediment-grain-size, spawning, usgs-5bda24c1e4b0b3fc5cec584b
Organization: Department of the Interior
Strontium isotope ratios of lavas from Kīlauea Volcano, Hawaiʻi

Strontium isotope ratios of historical Kīlauea summit and rift lavas were analyzed by thermal ionization mass spectrometry (TIMS) at the Southwest Isotope Research Laboratories of the U.S. Geological Survey (USGS) in Denver. There were 151 analyses of 49 samples obtained from the field, the collections of the USGS Hawaiian Volcano Observatory (HVO), and the Smithsonian Institution. Data for associated reference materials are described in the process steps . The Sr isotope ratios may be used to test models for the volcano’s magmatic plumbing system.

Tags: geochemistry, geoscientificinformation, hawaii, isotopic-analysis, klauea, strontium, usgs-5bd9d0f9e4b0b3fc5ceb8edc, volcanic-activity
Organization: Department of the Interior
Long-term amphibian monitoring data from the Willamette Valley, Oregon (2004-2015)

This dataset contains information from surveys conducted 2004-2015 by USGS as part of a long-term amphibian monitoring effort in the Willamette Valley, Oregon. Data consist of site, survey, habitat, and species detection covariates.

Tags: ankeny-national-wildlife-refuge, aquatic, aquatic-biology, baskett-slough-national-wildlife-refuge, benton-county, biota, day, environment, inlandwaters, land-surface, lane-county, linn-county, marion-county, modern, native-species, oregon, pacific-northwest, polk-county, population-dynamics, riparian, spring, summer, usgs-5bd8c5dde4b0b3fc5cea2477, willamette-valley, william-l-finley-national-wildlife-refuge
Organization: Department of the Interior
Digital elevation model, in meters, of the bathymetry of Dierks Lake, Arkansas

The dataset is a digital elevation model (DEM), in GeoTiff format, of the bathymetry of Dierks Lake, Howard and Sevier Counties, Arkansas.  The extent of the DEM represents the area encompassing the extent of the aerial Light Detection And Ranging (LiDAR) data used in the project.  Horizontal and vertical units are expressed in meters.  The DEM was derived from an LAS dataset (an industry-standard binary format for storing aerial LiDAR data) created from point datasets stored in “Dierks2018_gdb”.  The point datasets include aerial LiDAR data from a survey conducted in 2016 by the National Resources Conservation Service (U.S. Geological Survey, 2017), point data from digitized historical topographic maps, and bathymetric data from a survey conducted in June 2018 by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodologies for single- and multi-beam sonar surveys similar to those described by Wilson and Richards (2006) and Richards and Huizinga (2018).  In April 2019, it was discovered that some of the bathymetric data collected in shallow and/or tree-ridden areas of the lake had been omitted, resulting in errors in the final products.  The missing data were located and added to the geodatabase, the final products re-created, metadata edited accordingly, and the data release reviewed.  In response to the second review, in select shallow and/or tree-ridden tributary arms of the lake where bathymetric data were sparse, points along the stream channels, digitized from historical topographic maps representing the pre-impoundment topography, were added to the dataset; select areas of erroneous bathymetric data were edited; and contours at the dam were adjusted based on the historical topographic maps.  First release:  March 2019; revised August 2019 (version 1.1).  The previous version can be obtained by contacting the USGS Lower Mississippi-Gulf Water Science Center using the "Point of Contact" link on the landing page on ScienceBase.  References:  Richards, J.M. and Huizinga, R.J., 2018, Bathymetric contour map, surface area and capacity table, and bathymetric difference map for Clearwater Lake near Piedmont, Missouri, 2017: U.S. Geological Survey Scientific Investigations Map 3409: 1 sheet, https://doi.org/10.3133/sim3409; U.S. Geological Survey, 2017, Lidar Point Cloud - USGS National Map 3DEP Downloadable Data Collection: U.S. Geological Survey, https://nationalmap.gov/3DEP; Wilson, G.L., and Richards, J.M., 2006, Procedural Documentation and Accuracy Assessment of Bathymetric Maps and Area/Capacity Tables for Small Reservoirs: U.S. Geological Survey Scientific Investigations Report 2006-5208, https://pubs.usgs.gov/sir/2006/5208/.

Tags: acoustic, adcp, ar, arkansas, ascii, bathymetry-and-elevation, dem, dierks-lake, digital-elevation-models, digital-terrain-models, doppler, elevation, gnis-id-75695, howard-county, inlandwaters, lidar, limnology, sonar, terrain-dataset, usgs-5bd8bd82e4b0b3fc5cea242f, water-depth, xyz
Organization: Department of the Interior
Water-quality and stream-habitat metrics calculated for the National Water-Quality Assessment Program's Regional Stream Quality Assessment conducted in the southeast United States in support of ecological and habitat stressor models, 2014

This data release includes metrics from the Regional Stream Quality Assessment (RSQA) from the Southeast Region for habitat stressors related to water-quality and habitat substrate. The goals of RSQA are to characterize multiple water-quality factors that are stressors to aquatic life ‐ contaminants, nutrients, sediment, and streamflow alteration – and to develop a better understanding of the relation of these stressors to ecological conditions in streams throughout the region. In order to characterize water-quality variables and stream-habitat measurements as an aggregation of multiple measurements over a sampling period, and in support of ecological stressor modelling, metrics (summary statistics or indices) were computed from individual results by site using consistent methods over a consistent time frame.  Water-quality metrics are based on discrete samples as well as long-term deployed passive samplers.

Tags: alabama, biota, ecological, georgia, habitat, inlandwaters, metrics, north-carolina, south-carolina, southeast-united-states, stressors, substrate, usgs-5bd8bbeae4b0b3fc5cea2423, virginia, water-quality
Organization: Department of the Interior
Gillnet data for fishes of the upper San Francisco Estuary and Sacramento-San Joaquin Delta

This is the data release for gillnet data from a 2016-18 USGS Tidal Wetlands Study and a 2010-11 Sacramento Splittail Study targeting fish in the upper San Francisco Estuary and Sacramento-San Joaquin Delta. This data was used to analyze selectivity parameters of five gillnet mesh sizes (38.1, 50.8, 63.5, 76.2, 88.9 mm) on 15 fish species of the upper San Francisco Estuary and Sacramento-San Joaquin Delta (Striped Bass (Morone saxatilis), Sacramento Splittail (Pogonichthys macrolepidotus), White Catfish (Ameiurus catus), Redear Sunfish (Lepomis microlophus), Sacramento Pikeminnow (Ptychocheilus grandis),  Tule Perch (Hysterocarpus traskii), Jacksmelt (Atherinopsis californiensis), Sacramento Sucker (Catostomus occidentalis), Largemouth Bass (Micropterus salmoides), Threadfin Shad (Dorosoma petenense), Black Crappie (Pomoxis nigromaculatus), American Shad (Alosa sapidissima), Hitch (Lavinia exilicauda), Golden Shiner (Notemigonus crysoleucas), and Bluegill Sunfish (Lepomis macrochirus). Gillnet selectivity was estimated using the SELECT (share each length class’s catch total) method, which is a generalized linear model approach of indirect estimation of selectivity. Understanding gillnet selectivity can help inform future studies of fish assemblage structure in the upper San Francisco Estuary as well as studies that target fish species used in this analysis. Understanding size selectivity of the sampling gear can be helpful in determining the size structure of fish populations and decreasing bias in size-class catch data.

Tags: biota, geoscientificinformation, gillnet-selectivity, inlandwaters, sacramento-san-joaquin-delta, san-francisco-estuary, usgs-5bd89eebe4b0b3fc5cea2184
Organization: Department of the Interior
Investigating the mixing efficiencies of liquid-to-liquid chemical injection manifolds for aquatic invasive species management:Data

Spreadsheet includes data that were used to evaluate the mixing efficiencies of liquid-to-liquid chemical injection manifolds. Specifically, piping designs were developed to deliver fisheries chemicals (e.g. carbon dioxide) into water to control the movements of invasive bigheaded carps. These data describe mixing time, homogeneity and efficacy of carbon dioxide delivery using various piping designs. Results provide recommendations for piping configurations that could be installed within navigational locks to deliver invasive species control chemicals. There is 1 csv file containing text documents associated with this study

Tags: biota, carbon-dioxide, flow, injection, liquid, manifolds, mixing, usgs-5bd87888e4b0b3fc5cea16f9
Organization: Department of the Interior
Sagittaria flooding tolerance experiment data

To assess the flooding tolerance of Sagittaria latifolia and S. rigida, we assessed three levels of timing of inundation (early- [11 June], mid- [12 July], late-season [12 August]), three levels of duration (short [1 day], mid [5 days], long [10 days]), and four levels of depth (reference plant not treated, shallow [5 cm], moderate [20 cm], deep [45 cm]) on survival and productivity of Sagittaria plants.  Plants were produced from seeds of S. latifolia and S. rigida, and from S. latifolia tubers.  Sagittaria plants were reared in six 50 m2 outdoor concrete ponds at the USGS Upper Midwest Environmental Sciences Center in La Crosse, Wisconsin, USA, and subjected to various levels of inundation throughout the growing season.

Tags: biota, flooding-tolerance, inundation, sagittaria-latifolia, upper-mississippi-river, usgs-5bd875e8e4b0b3fc5cea16e8, water-level-management
Organization: Department of the Interior
2013-2014 profile-derived mean high water shorelines of the South Shore of MA used in shoreline change analysis

The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. The shoreline position and change rate are used to inform management decisions regarding the erosion of coastal resources. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates at 40-meter intervals along ocean-facing sections of the Massachusetts coast. In 2013 two oceanfront shorelines for Massachusetts were added using 2008-2009 color aerial orthoimagery and 2007 topographic lidar datasets obtained from NOAA's Ocean Service, Coastal Services Center.
This 2018 update includes two new mean high water (MHW) shorelines for the Massachusetts coast extracted from lidar data collected between 2010-2014. The first new shoreline for the state includes data from 2010 along the North Shore and South Coast from lidar data collected by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX). Shorelines along the South Shore and Outer Cape are from 2011 lidar data collected by the U.S. Geological Survey's (USGS) National Geospatial Program Office. Shorelines along Nantucket and Martha’s Vineyard are from a 2012 U.S. Army Corps of Engineers Post Sandy Topographic lidar survey. The second new shoreline for the North Shore, Boston, South Shore, Cape Cod Bay, Outer Cape, South Cape, Nantucket, Martha’s Vineyard, and South Coast west of Buzzards Bay is from 2013-2014 lidar data collected by the U.S. Geological Survey's (USGS) Coastal and Marine Geology Program. Shorelines were extracted from these lidar surveys using several different methods dependent on the location of the shoreline and whether or not wave data were available.

Tags: atlantic-coast, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, ma-czm, massachusetts, massachusetts-coastal-zone-management, massachusetts-shoreline-change-project, mean-high-water, mhw, national-assessment-of-shoreline-change-project, new-england, oceans, shoreline, shoreline-change, south-shore, u-s-geological-survey, united-states, usgs, usgs-5bd86641e4b0b3fc5ce9da64, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
2011 profile-derived mean high water shorelines of the South Shore of MA used in shoreline change analysis

The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. The shoreline position and change rate are used to inform management decisions regarding the erosion of coastal resources. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates at 40-meter intervals along ocean-facing sections of the Massachusetts coast. In 2013 two oceanfront shorelines for Massachusetts were added using 2008-2009 color aerial orthoimagery and 2007 topographic lidar datasets obtained from NOAA's Ocean Service, Coastal Services Center.
This 2018 update includes two new mean high water (MHW) shorelines for the Massachusetts coast extracted from lidar data collected between 2010-2014. The first new shoreline for the state includes data from 2010 along the North Shore and South Coast from lidar data collected by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX). Shorelines along the South Shore and Outer Cape are from 2011 lidar data collected by the U.S. Geological Survey's (USGS) National Geospatial Program Office. Shorelines along Nantucket and Martha’s Vineyard are from a 2012 U.S. Army Corps of Engineers Post Sandy Topographic lidar survey. The second new shoreline for the North Shore, Boston, South Shore, Cape Cod Bay, Outer Cape, South Cape, Nantucket, Martha’s Vineyard, and South Coast west of Buzzards Bay is from 2013-2014 lidar data collected by the U.S. Geological Survey's (USGS) Coastal and Marine Geology Program. Shorelines were extracted from these lidar surveys using several different methods dependent on the location of the shoreline and whether or not wave data were available.

Tags: atlantic-coast, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, ma-czm, massachusetts, massachusetts-coastal-zone-management, massachusetts-shoreline-change-project, mean-high-water, mhw, national-assessment-of-shoreline-change-project, new-england, oceans, shoreline, shoreline-change, south-shore, u-s-geological-survey, united-states, usgs, usgs-5bd86630e4b0b3fc5ce9da5b, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
2014 profile-derived mean high water shorelines of the south shore of Cape Cod, MA used in shoreline change analysis

The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. The shoreline position and change rate are used to inform management decisions regarding the erosion of coastal resources. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates at 40-meter intervals along ocean-facing sections of the Massachusetts coast. In 2013 two oceanfront shorelines for Massachusetts were added using 2008-2009 color aerial orthoimagery and 2007 topographic lidar datasets obtained from NOAA's Ocean Service, Coastal Services Center.
This 2018 update includes two new mean high water (MHW) shorelines for the Massachusetts coast extracted from lidar data collected between 2010-2014. The first new shoreline for the state includes data from 2010 along the North Shore and South Coast from lidar data collected by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX). Shorelines along the South Shore and Outer Cape are from 2011 lidar data collected by the U.S. Geological Survey's (USGS) National Geospatial Program Office. Shorelines along Nantucket and Martha’s Vineyard are from a 2012 U.S. Army Corps of Engineers Post Sandy Topographic lidar survey. The second new shoreline for the North Shore, Boston, South Shore, Cape Cod Bay, Outer Cape, South Cape, Nantucket, Martha’s Vineyard, and South Coast west of Buzzards Bay is from 2013-2014 lidar data collected by the U.S. Geological Survey's (USGS) Coastal and Marine Geology Program. Shorelines were extracted from these lidar surveys using several different methods dependent on the location of the shoreline and whether or not wave data were available.

Tags: atlantic-coast, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, ma-czm, massachusetts, massachusetts-coastal-zone-management, massachusetts-shoreline-change-project, mean-high-water, mhw, national-assessment-of-shoreline-change-project, new-england, oceans, shoreline, shoreline-change, south-cape, u-s-geological-survey, united-states, usgs, usgs-5bd86616e4b0b3fc5ce9da4d, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
2011 profile-derived mean high water shorelines of the Outer Cape of MA used in shoreline change analysis

The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. The shoreline position and change rate are used to inform management decisions regarding the erosion of coastal resources. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates at 40-meter intervals along ocean-facing sections of the Massachusetts coast. In 2013 two oceanfront shorelines for Massachusetts were added using 2008-2009 color aerial orthoimagery and topographic LIDAR datasets (2007) obtained from NOAA's Ocean Service, Coastal Services Center.
This 2018 update includes two new mean high water (MHW) shoreline positions for the Massachusetts coast extracted from lidar data collected between 2010-2014. Shorelines were extracted using a few different methods to establish the MHW shoreline position. The 2010 shorelines along the North Shore and South Coast are from lidar data collected by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX). The 2011 shorelines along the South Shore and Outer Cape are from lidar collected by the U.S. Geological Survey's (USGS) National Geospatial Program Office. The 2012 shorelines along Nantucket and Martha’s Vineyard are from a U.S. Army Corps of Engineers Post Sandy Topographic lidar survey. The 2013-2014 shorelines along the North Shore, Boston, South Shore, Cape Cod Bay, Outer Cape, South Cape, Nantucket, Martha’s Vineyard, and South Coast west of Buzzards Bay are from lidar collected by the U.S. Geological Survey's (USGS) Coastal and Marine Geology Program.

Tags: atlantic-coast, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, ma-czm, massachusetts, massachusetts-coastal-zone-management, massachusetts-shoreline-change-project, mean-high-water, mhw, national-assessment-of-shoreline-change-project, new-england, oceans, outer-cape-cod, shoreline, shoreline-change, u-s-geological-survey, united-states, usgs, usgs-5bd865f5e4b0b3fc5ce9da36, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior