AndreaBozzo/ceres-open-data-index huggingface dataset:
Field evaluation of carbon dioxide as a fish deterrent at a water management structure along the Illinois River: Data

Resource agencies are searching for effective methods to prevent the spread of invasive Silver Carp (Hypophthalmichthys molitrix) and Bighead Carp (Hypophthalmichthys nobilis), hereafter bigheaded carps, from the Mississippi River basin into the Laurentian Great Lakes. Elevating carbon dioxide (CO2) concentrations in water within locks and other pinch points is an approach being considered to reduce invasive fish passage. Laboratory studies have shown that bigheaded carps strongly avoid areas of elevated CO2 (Kates et al. 2012; Dennis et al. 2015). Similarly, telemetry studies found that CO2 can be used to exclude bigheaded carps from certain locations (Donaldson et al. 2016) and reduce upstream movement (Cupp et al. 2016). Previous studies were completed under controlled settings, and research to determine the feasibility and efficacy of elevated CO2 to control bigheaded carp movements in larger natural environments is needed.
On October 21–28, 2016, the U.S. Geological Survey Upper Midwest Environmental Sciences Center, Illinois-Iowa Water Science Center, and Columbia Environmental Research Center conducted a short field study at Emiquon Preserve (15T 750386.95m E, 4469041.70m N) near Havana, IL. Objectives for this study were to (1) characterize CO2 concentrations and distribution at various water velocities and (2) determine the effectiveness of CO2 to reduce general fish abundance and movement. During this study, water quality, atmospheric CO2, and fish presence were quantified across three water velocities (no flow, restricted flow, and unrestricted flow) with and without CO2 injection. The study was conducted at the water management structures (WMS) which served at the single connection between an isolated backwater lake and the Illinois River. Carbon dioxide was injected into the downstream portion of the WMS using air diffusers connected to compressed CO2 tanks. Fish abundance and movement was quantified using two Adaptive Resolution Imaging Sonar (ARIS) transducers placed across WMS entrances. Water quality was quantified using stationary sondes, grab sample, and mobile transects. Atmospheric CO2 concentrations were quantified at fixed locations throughout the study site. 
Dates and times of importance:  no water flow with CO2 start (21OCT2016 0800 CDT) and stop (21OCT2016 1600 CDT), modified flow with CO2 start (25OCT2016 0800 CDT) and stop (25OCT2016 1600 CDT), unrestricted flow with CO2 start (24OCT2016 0800 CDT) and stop (24OCT2016 1600 CDT), no flow control day without CO2 (28OCT2016), modified flow control day without CO2 (27OCT2016), and unrestricted flow control day without CO2 (23OCT2016).

Tags: aquatic-invasive-species, asian-carps, biota, carbon-dioxide, the-nature-conservancy, usgs-5bd84a28e4b0b3fc5ce9d862
Organization: Department of the Interior
2014 profile-derived mean high water shorelines of Cape Cod Bay, 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  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, cape-cod-bay, 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, u-s-geological-survey, united-states, usgs, usgs-5bd86584e4b0b3fc5ce9d9d0, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Digital elevation model of the bathymetry of Gillham Lake, Arkansas

The dataset is a digital elevation model (DEM), in GeoTiff format, of the bathymetry of Gillham Lake, Sevier County, 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 “Gillham2018_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 areas in shallow and/or tree-ridden areas of the lake that had not been surveyed needed additional data in order to generate a more topographically realistic surface.    Additional data were interpolated from a combination of elevation data from pre-impoundment topographic maps and from the point datasets of the bathymetric and LiDAR surveys provided in Esri file geodatabase.  The interpolated data was added to the geodatabase, the final products re-created, metadata edited accordingly, and the data release reviewed.  In response to the second review, a vertical datum discrepancy between the single beam and  multi-beam bathymetric datasets was addressed and select areas of erroneous bathymetric data were edited.  First release:  October 2018; revised April 2020 (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, digital-elevation-models, digital-terrain-models, doppler, elevation, gillham-lake, gnis-id-74845, gnis-id-81042, howard-county, inlandwaters, lidar, limnology, sevier-county, sonar, terrain-dataset, usgs-5bd7758ce4b0b3fc5ce825c9, water-depth, xyz
Organization: Department of the Interior
USGS National and Global Oil and Gas Assessment Project-Permian Basin Province, Delaware Basin, Wolfcamp Shale and Bone Spring Assessment Units and Input Data

This data release contains the boundaries of assessment units and input data for the assessment of undiscovered oil and gas in the Delaware Basin, Wolfcamp Shale and Bone Spring. 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. This data release also contains comma-separated (CSV) data for assessment input data and area allocation tables (DelawareBasinInputAllocations.xlsx).  The input data if formatted in a human-readable format used during assessment meetings and is included (5044DelawareBasinInputForms.pdf).  Documentation for these csv is included (Input Forms Colum Descriptions.xlsx).  Methodology of assessments are documented in USGS Data Series 547 for continous 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).

Tags: assessment-unit, continuous-assessment-unit, delaware-basin, earth-science, economic-geology, energy-resources, first-bone-spring-continuous-oil-50440186, geology, geoscientificinformation, lower-avalon-shale-continuous-oil-50440187, national-assessment-of-oil-and-gas, natural-gas, natural-gas-resources, natural-resources, noga2000, oil, oil-resources, oilgas, permian-basin, petroleum, resource-assessment, second-bone-spring-continuous-oil-50440185, state-of-new-mexico, state-of-texas, third-bone-spring-continuous-oil-50440184, u-s-a, u-s-geological-survey, unconventional-assessment-unit, united-states, united-states-of-america, upper-avalon-shale-continuous-oil-50440188, usgs, usgs-5bd7650be4b0b3fc5ce77920, usgs-world-energy-region-5, wolfcamp-a-continuous-oil-50440183, wolfcamp-b-continuous-gas-50440181, wolfcamp-b-continuous-oil-50440182, wolfcamp-c-continuous-gas-50440179, wolfcamp-c-continuous-oil-50440180, wolfcamp-d-continuous-gas-50440178
Organization: Department of the Interior
U-Pb data for: U-Pb geochronology of tin deposits associated with the Cornubian Batholith of southwest England:  Direct dating of cassiterite by in situ LA-ICPMS

Cassiterite (SnO2) samples were collected throughout Devon and Cornwall Counties in southwest England, United Kingdom.  Samples were prepared and analyzed for direct age dating on a laser ablation inductively coupled plasma mass spectrometer (LA-ICPMS) system at the U.S. Geological Survey in Denver, Colorado in February and April 2018.  This data release accompanies the publication, 'U-Pb geochronology of tin deposits associated with the Cornubian Batholith of southwest England:  Direct dating of cassiterite by in situ LA-ICPMS' (Moscati and Neymark, 2018).  The publication describes a greater chronologic control and refinement of Cornubian tin ore deposition and allows comparison of its timing with previously published ages for the granitic intrusions that host the cassiterite.

Tags: cassiterite, cornwall, devon, geochronology, geology-geophysics-and-geochemistry-science-center, geoscienceinformation, geoscientificinformation, la-icpms, laser-ablation-inductively-coupled-plasma-mass-spectrometer, lead, mrp, thorium, u-pb, united-kingdom, uranium, usgs-5bd72ca6e4b0b3fc5ce77073
Organization: Department of the Interior
Photos of debris jams on Plaster Creek and Little Plaster Creek, Kentwood, MI, 2018

The City of Kentwood (MI) has been faced with repetitive flooding from Plaster Creek near the intersection of Shaffer Avenue SE and 36th Street SE. Nearby businesses and public and private property are at risk for flood damage; as well as degradation of public infrastructure including bridges, exposure of subsurface sanitary sewer lines, and damage to storm water systems. The U.S. Army Corps of Engineers, Detroit District, would like to develop a management plan through the use of a hydraulic model of the impacted river reaches. To support this effort, photographs of debris jams within Plaster Creek, Little Plaster Creek were collected during the summer of 2018. A companion shapefile is provided to show the approximate location of each photograph.

Tags: floods, human-impact, kent-county-mi, kentwood-mi, little-plaster-creek, michigan, plaster-creek, topography, usgs-5bd6f70fe4b0b3fc5ce76f4d
Organization: Department of the Interior
SOCAL_1998 - Vectorized Shoreline of Southern California Derived from 1998 Lidar Source Data

There are critical needs for a nationwide compilation of reliable shoreline data.  To meet these needs, the U.S. Geological Survey (USGS) has produced a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing historical shoreline databases and by generating historical and modern shoreline data.  Shorelines are compiled by state and generally correspond to one of four time periods: 1800s, 1920s-1930s, 1970s, and 1998-2002.  Each shoreline may represent a compilation of data from one or more sources for one or more dates provided by one or more agencies.  Details regarding source are provided in the 'Data Quality Information' section of this metadata report.  Shoreline vectors derived from historic sources (first three time periods) represent the high water line at the time of the survey, whereas modern shorelines (final time period) represent the mean high water line.

Tags: baseline, beach-erosion, beach-nourishment, california, cmgp, coastal-and-marine-geology-program, coastal-processes, coastal-survey-map, continental-island-shore-complex, effects-of-coastal-change, endpoint-rate, environment, erosion, esri-polyline-shapefile, geoscientificinformation, historic-shoreline, lidar, linear-regression-rate, oceans, shoreline, shoreline-accretion, shoreline-change-rate, shoreline-erosion, southern-california-bight-ecoregion, t-sheet, tp-sheet, u-s-geological-survey, united-states, usgs, usgs-5bd60f21-5254-4d5e-9128-b3219c478dcb
Organization: Department of the Interior
Fish Abundance and Distribution in Restored Tidal Wetlands in the Northern Sacramento-San Joaquin Delta, California, 2017-2018

Field data for fishes sampled using bottom gill nets and otter trawls during daylight hours in the northern part of the Sacramento-San Joaquin Delta, California, USA. Two adjacent tidal wetlands were targeted for sampling: Little Holland Tract and Liberty Island Conservation Bank

Tags: aquatic-biology, biota, cache-slough-complex, california, fish-biology, sacramento-san-joaquin-delta, tidal-wetland, united-states, usgs-5bd24263e4b0b3fc5ce31e9f
Organization: Department of the Interior
Lake Erie Tributaries: Nutrient and streamflow trend results

This data set includes WRTDS nutrient flux trend results and the values of daily streamflow trend results displayed in the Quantile-Kendall plots.  For 1995-2015 nutrient trends, the method of generalized flow normalization (FNG) was used which explicitly addresses non-stationary streamflow conditions.  For 2005-2015 nutrient trends, the WRTDS trend analyses used the method of stationary flow normalization (FNS) because streamflow nonstationarity is difficult to assess over this shorter duration time frame. The 1995-2015 annual nutrient trends were determined for all five nutrient parameters (TP, SRP, TN, NO23, TKN), and monthly trends were evaluated only for SRP.  The 2005-2015 annual nutrient trends were determined for the three parameters TP, SRP, and TN.  For the water-quality parameter SRP, monitoring data and trend results were available for 6 of the 10 trend sites.  Daily streamflow trends were evaluated for the time-period 1987-2016 at 9 of the study sites, applied as climatic years (years which start April 1 and end March 31) for a period of 29 climatic years (1988 – 2016).  Details on the WRTDS method of generalized flow normalization appear in Hirsch and De Cicco (2018) and in Choquette et al. (2019).  Details on the Quantile-Kendall plots and their construction appears in Hirsch (2018) and in Appendix A of Choquette et al. (2019).   Details regarding interpretations of these trend results and the watershed characteristics upstream of these sites appear in Choquette et al. (2019).  
The results dataset is presented in 5 parts:
1.	AnnualNutrientTrends_1995-2015.csv (WRTDS nutrient flux trend results)
2.	MonthlySRPTrends_1995-2015.csv (SRP monthly flux trend results for 6 sites)
3.	AnnualNutrientTrends_2005-2015.csv (WRTDS nutrient flux trend results)
4.	DailyFlowTrends_1987-2016.zip (Annual streamflow trend results, by site, presented in the Quantile-Kendall plots)
5.	Quantile-Kendall-plots.pdf (plots showing 1988-2016 streamflow trend results)
References: 
Choquette, A.F., Hirsch, R.M., Murphy, J.C., Johnson, L.T., and Confesor, R.B. Jr., 2019, Tracking changes in nutrient delivery to western Lake Erie: approaches to compensate for variability and trends in streamflow: J. of Great Lakes Research, v. 45, no. 1, p. 21-39, https://doi.org/10.1016/j.jglr.2018.11.012.
Hirsch, R.M., 2018, Daily streamflow trend analysis: U.S. Geological Survey Office of Water Information Blog, 38 p., at: https://owi.usgs.gov/blog/Quantile-Kendall/.
Hirsch, R.M., and De Cicco, L.A., 2018, EGRET release 3.0, and EGRETci release 2.0, at: https://cran.r-project.org/

Tags: environment, geoscientificinformation, great-lakes, indiana, lake-erie, michigan, nitrate, nitrogen, nutrient, ohio, phosphorus, streamflow, trend, usgs-5bd20049e4b0b3fc5ce31bf3, water-quality, weighted-regression-on-time-discharge-and-season-wrtds, western-lake-erie
Organization: Department of the Interior
Child 1: Nutrient and streamflow model-input data

Trends in nutrient fluxes and streamflow for selected tributaries in the Lake Erie watershed were calculated using monitoring data at 10 locations. Trends in flow-normalized nutrient fluxes were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season).  Site information and streamflow and water-quality records are contained in 3 zipped files named as follows: INFO (site information), Daily (daily streamflow records), and Sample (water-quality records).  The INFO, Daily (flow), and Sample files contain the input data, by water-quality parameter and by site as .csv files, used to run trend analyses.  These files were generated by the R (version 3.1.2) software package called EGRET - Exploration and Graphics for River Trends (version 2.5.1) (Hirsch and DeCicco, 2015), and can be used directly as input to run graphical procedures and WRTDS trend analyses using EGRET R software.  The .csv files are identified according to water-quality parameter (TP, SRP, TN, NO23, and TKN) and site reference number (e.g. TPfiles.1.INFO.csv, SRPfiles.1.INFO.csv, TPfiles.2.INFO.csv, etc.).  Water-quality parameter abbreviations and site reference numbers are defined in the file "Site-summary_table.csv" on the landing page, where there is also a site-location map ("Site_map.pdf").  Parameter information details, including abbreviation definitions, appear in the abstract on the Landing Page. 
SRP data records were available at only 6 of the 10 trend sites, which are identified in the file "site-summary_table.csv" (see landing page) as monitored by the organization NCWQR (National Center for Water Quality Research). The SRP sites are: RAIS, MAUW, SAND, HONE, ROCK, and CUYA.   
The model-input dataset is presented in 3 parts:
1.	INFO.zip (site information)
2.	Daily.zip (daily streamflow records)
3.	Sample.zip (water-quality records)
Reference:
Hirsch, R.M., and De Cicco, L.A., 2015 (revised). User Guide to Exploration and Graphics for RivEr Trends (EGRET) and dataRetrieval: R Packages for Hydrologic Data, Version 2.0, U.S. Geological Survey Techniques Methods, 4-A10. U.S. Geological Survey, Reston, VA., 93 p. (at: http://dx.doi.org/10.3133/tm4A10).

Tags: environment, geoscientificinformation, great-lakes, indiana, lake-erie, michigan, nitrate, nitrogen, nutrient, ohio, phosphorus, streamflow, trend, usgs-5bd1e08be4b0b3fc5ce3188e, water-quality, weighted-regression-on-time-discharge-and-season-wrtds, western-lake-erie
Organization: Department of the Interior