AndreaBozzo/ceres-open-data-index huggingface dataset:
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, and 2015 Site 1650 Land-Water Matrix

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 390 sites that encompass the range of hydrological and ecological conditions for each stratum.  As part of CRMS, land and water classifications are created from 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 390 sites that encompass the range of hydrological and ecological conditions for each stratum.  As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites.  This dataset consists of a matrix of four land-water products (2005, 2008, 2012, and 2015).  The resulting matrix has 16 possible classes defined by the combination of land and water categories on those four dates.

Tags: cartography, coastal, crms, doqq, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, state-of-louisiana, usgs-59387830e4b0764e6c5d6ce3, wetland
Organization: Department of the Interior
Shapefiles and Historical Aerial Photographs, Little Missouri River, 1966

8 aerial photographs were taken along the Little Missouri River in 1966. All images were geo-referenced to the 1995 digital orthophoto quarter quadrangles as described by Miller and Friedman (2009). Both the flood plain and active channel of the river were delineated on the 1995 digital orthophoto quadrangles and overlain on rectified photos. ArcGIS was used to draw the polygons that delineate the flood plain and active channel; the delineation was saved as a SHP file. The separate images (geoTIFFs) can be viewed as a composite along with that year's channel delineation (SHP file) using ArcGIS, or any other geographic information system (GIS) compatible program.
Reference: Miller, J.R., and J.M. Friedman. 2009. Influence of flow variability on flood-plain formation and destruction, Little Missouri River, North Dakota. Geological Society of America Bulletin 121:752-759.

Tags: aerial-photography, central-us, channel-adjustment, erosion, flood, flood-plain-formation, geoscientificinformation, little-missouri-river, mckenzie-county, nd, north-dakota, plains-cottonwood, theodore-roosevelt-national-park, united-states, usgs-59162229e4b044b359e32eab
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2015 Site 0665 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 390 sites that encompass the range of hydrological and ecological conditions for each stratum.  As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites.  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 2015 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.  Three previous assessments have been conducted (2005, 2008, and 2012).  Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: cartography, coastal, crms, doqq, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, state-of-louisiana, usgs-5938761be4b0764e6c5d6c1a, wetland
Organization: Department of the Interior
Habitat use, diet, movement, and vegetation use by western gray squirrels (Sciurus griseus) in the North Cascades Range, USA, 2008-2011

Data are contained in a comma-separated spreadsheet files (.csv) that describe vegetation characteristics of high- and low-use areas, nest tree sites, and individual nest trees used by western gray squirrels in the North Cascades as determined through live-trapping and radiotelemetry at two study sites: Stehekin, and the southern Methow Valley (Squaw Creek drainage), Washington. Squirrels were live-trapped and radio-tracked from 2008-2011 for a University of Washington Ph.D. research project on western gray squirrel habitat selection.

Tags: biota, fire, fuels, habitats, north-cascades-national-park, okanogan-national-forest, sciurus-griseus, usgs-59160e7de4b044b359e32e6e, washington, western-gray-squirrel
Organization: Department of the Interior
Shapefiles and Historical Aerial Photographs, Little Missouri River, 1958

8 aerial photographs were taken along the Little Missouri River in 1958. All images were geo-referenced to the 1995 digital orthophoto quarter quadrangles as described by Miller and Friedman (2009). Both the flood plain and active channel of the river were delineated on the 1995 digital orthophoto quadrangles and overlaid on rectified photos. ArcGIS was used to draw the polygons that delineate the flood plain and active channel; the delineation was saved as a SHP file. The separate images (geoTIFFs) can be viewed as a composite along with that year's channel delineation (SHP file) using a geographic information system (GIS) application.
Reference: Miller, J.R., and J.M. Friedman. 2009. Influence of flow variability on flood-plain formation and destruction, Little Missouri River, North Dakota. Geological Society of America Bulletin 121:752-759.

Tags: aerial-photography, central-us, channel-adjustment, erosion, flood, flood-plain-formation, geoscientificinformation, little-missouri-river, mckenzie-county, nd, north-dakota, plains-cottonwood, theodore-roosevelt-national-park, united-states, usgs-5915e75ae4b044b359e32ddc
Organization: Department of the Interior
Distribution of the Yellowstone Grizzly Bear (2000-2014)

The grizzly bear distribution boundary delineates the estimated geographic extent of occupied range of the Yellowstone grizzly bear population for the period 2000-2014.  The distribution boundary was generated to provide reliable estimations of grizzly bear occupancy throughout time and for use as a monitoring tool in grizzly bear management and conservation. The boundary was delineated by the Interagency Grizzly Bear Study Team (IGBST) using an interpolation method based on grizzly bear telemetry and GPS locations as well as verified observations and signs of grizzly bears inside the Greater Yellowstone ecosystem during 2000 to 2014.

Tags: bears, biota, distribution, ecology, greater-yellowstone-ecosystem, grizzly-bear, grizzly-bears, idaho, kriging, montana, occupied-range, range-extent, ursus-arctos, usgs-5914c0f6e4b0e541a03e9b2d, wyoming, yellowstone
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, and 2015 Site 0604 Land-Water Matrix

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 390 sites that encompass the range of hydrological and ecological conditions for each stratum.  As part of CRMS, land and water classifications are created from 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 390 sites that encompass the range of hydrological and ecological conditions for each stratum.  As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites.  This dataset consists of a matrix of four land-water products (2005, 2008, 2012, and 2015).  The resulting matrix has 16 possible classes defined by the combination of land and water categories on those four dates.

Tags: cartography, coastal, crms, doqq, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, state-of-louisiana, usgs-5938761ee4b0764e6c5d6c1c, wetland
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, and 2015 Site 1743 Land-Water Matrix

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 390 sites that encompass the range of hydrological and ecological conditions for each stratum.  As part of CRMS, land and water classifications are created from 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 390 sites that encompass the range of hydrological and ecological conditions for each stratum.  As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites.  This dataset consists of a matrix of four land-water products (2005, 2008, 2012, and 2015).  The resulting matrix has 16 possible classes defined by the combination of land and water categories on those four dates.

Tags: cartography, coastal, crms, doqq, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, state-of-louisiana, usgs-59387843e4b0764e6c5d6ce7, wetland
Organization: Department of the Interior
Shorelines, shorepoints, and transects with rates for the Point Aux Chenes and Grand Bay Estuaries in Mississippi and Alabama from 1848 to 2023

This dataset represents a compilation of vector shorelines, shorepoints, and transects with rates for the Point Aux Chenes and Grand Bay estuaries in Mississippi and Alabama from 1848 to 2023. Shoreline data were obtained from multiple data sources, including the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the Grand Bay National Estuarine Research Reserve (GNDNERR), and the Mississippi Office of Geology (MOG). All shoreline data types have uncertainty associated with delineating the shoreline location, particularly with vegetated coastlines. For this study, the "apparent shoreline" was mapped for all data sources. The "apparent shoreline" is defined as "where the actual shoreline is obscured by marsh, mangrove, cypress, or other type of marine vegetation, the outer edge of the vegetation is mapped (Shalowitz, 1964). In the case of aerial imagery, vegetation-water boundary was digitized (Smith and others, 2021). Field surveys identified the edge of the dominant vegetation or the eroding scarp line (Smith and others, 2021). WorldView satellite imagery was classified using the normalized difference vegetation index (NDVI) (Maglione and others, 2014; Smith and others, 2021).
Regardless of the source, all shorelines were merged into a single file to generate shorepoints and transects, in order to conduct shoreline change analyses. Datasets were compiled and analyzed using the R package Analyzing Moving Boundaries Using R (AMBUR) program (Jackson, 2010). This data release contains shorelines from 1848-2023 along with transects with rates of change joined to the data table, and shorepoints. Several shorelines were specifically digitized for use with transects in this study or have limited spatial resolution and are described in the attribute table or in this metadata record. This data release is an expansion of a previously published 1848-2017 shoreline change data release (Terrano and others, 2018).

Tags: aerial-photography, al, alabama, boundaries, coastal-processes, digitization, environment, geoscientificinformation, global-positioning-system, grand-bay-national-estuarine-research-reserve, grand-bay-national-wildlife-refuge, gulf-of-mexico, mississippi, ms, oceans, satellite-imagery, shoreline-data, shoreline-map, topographic-maps, united-states, usa, usgs-5914b08f-08c0-4812-aa76-60f624ffd62f
Organization: Department of the Interior
"Common" lead isotopic measurements in silicate glasses and minerals by laser ablation double-focusing SC-ICPMS (2017)

This dataset is related to a 2017 journal article by A. J. Pietruszka and L. A. Neymark titled "Evaluation of laser ablation double-focusing SC-ICPMS for “common” lead isotopic measurements in silicate glasses and minerals" that is published in the Journal of Analytical Atomic Spectrometry (doi:10.1039/c7ja00005g).

Tags: bcr-2g, bhvo-2g, colorado, earth-sciences, geochemistry, isotopic-analysis, lakewood, laser-ablation, lead, mass-spectrometry, mercury, mpi-ding, national-institute-of-standards-and-technology, nist, sc-icpms, single-collector-inductively-coupled-plasma-mass-spectrometry, srm, srm610, srm612, srm981, standard-reference-material, thallium, usgs-5914af94e4b0e541a03e9aec
Organization: Department of the Interior
Recovery data for surface water, groundwater and lab reagent samples analyzed by the USGS National Water Quality Laboratory schedule 2437, water years 2013-15.

Analytical recovery is the concentration of an analyte measured in a water-quality sample expressed as a percentage of the known concentration added to the sample (Mueller and others, 2015). Analytical recovery (hereafter referred to as “recovery”) can be used to understand method bias and variability and to assess the temporal changes in a method over time (Martin and others, 2009). This data set includes two tables: one table of field spike recovery data and one table of lab reagent spike recovery data. The table of field spike recovery data includes results from paired environmental and spike samples collected by the National Water Quality Program, National Water-Quality Assessment (NAWQA) Project in surface water and groundwater. These samples were collected as part of the NAWQA Project’s National Water Quality Network: Rivers and Streams assessment, Regional Stream Quality Assessment studies and in multiple groundwater networks following standard practices (Mueller and others, 1997).  This table includes environmental and spike water-quality sample data stored in the USGS National Water Information System (NWIS) database (https://dx.doi.org/10.5066/F7P55KJN). Concentrations of pesticides in spike samples, while stored in the NWIS database, are not publically available. The calculation of recovery based on these field sample data is outlined in Mueller and others (2015). Lab reagent spikes are pesticide-free reagent water spiked with a known concentration of pesticide. Lab reagent spikes are prepared in the lab and their recovery can be directly measured. The table of lab reagent spike data contains quality control sample information stored in the USGS National Water Quality Laboratory (NWQL) database. Both tables include fields for data-quality indicators that are described in the data processing steps of this metadata file. These tables were developed in order to support a USGS Scientific Investigations Report with the working title “Considerations for the Preparation of Pesticide Data Analyzed with National Water Quality Laboratory Schedule 2437”. 
Martin, J.D., Stone, W.W, Wydoski, D.S., and Sandstrom, M.W., 2009, Adjustment of pesticide concentrations for temporal changes in analytical recovery, 1992–2006: U.S. Geological Survey Scientific Investigations Report 2009–5189, 23 p. plus appendixes.
Mueller, D.K., Schertz, T.L., Martin, J.D., and Sandstrom, M.W., 2015, Design, analysis, and interpretation of field quality-control data for water-sampling projects: U.S. Geological Survey Techniques and Methods, book 4, chap. C4, 54 p., https://dx.doi.org/10.3133/tm4C4.
Mueller, D.K., Martin, J.D. and Lopes, T.J., 1997, Quality-Control Design for Surface-Water Sampling in the National Water-Quality Assessment Program: U.S. Geological Survey Open-File Report 97-223, 8 p. plus appendixes.

Tags: laboratory-methods, pesticide-and-herbicide-contamination, usgs-5914a9d0e4b0e541a03e9abe, water-quality
Organization: Department of the Interior
Point measurements of temperature and water quality in main-channel and off-channel features of the Willamette River, 2015-16

Water quality point measurements were collected by the U.S. Geological Survey within the main channel Willamette River and its off-channel features in the summer and autumn of 2015 and 2016. All measurements include location, time, temperature, and depth below water surface, while most also include specific conductivity, dissolved oxygen, and pH.

Tags: benton-county, clackamas-county, cold-water-refuge, dissolved-oxygen, groundwater-and-surface-water-interaction, groundwater-flow, harrisburg, hyporheic-exchange, independence, inlandwaters, lane-county, linn-county, marion-county, multnomah-county, oregon, oxygen-content-water, polk-county, usgs-5914a532e4b0e541a03e9a94, washington-county, water-ph, water-quality, water-temperature, western-oregon, willamette, willamette-mission-state-park, willamette-river, yamhill-county
Organization: Department of the Interior
Early Estimates of Herbaceous Annual Cover in the Sagebrush Ecosystem (May 1, 2017)

The dataset provides an estimate of 2017 herbaceous annual percent cover predicted on May 1st with an emphasis on annual grasses. The pixel values range from 0 to100 with an overall mean value of 7.1 and a standard deviation of +/-10.5. The model's test mean error rate (n = 1670), based on nine different randomizations, equals 4.9% with a standard deviation of +/- 0.15. This dataset was generated by integrating ground-truth measurements of annual herbaceous percent cover with 250-m spatial resolution eMODIS NDVI satellite derived data and geophysical variables into regression-tree software. The geographic coverage includes the Great Basin, the Snake River Plain, the state of Wyoming, and contiguous areas. We applied a mask to areas above 2250-m elevation because annual grasses are unlikely to exist at substantial cover above this threshold. To target likely sagebrush ecosystems, the mask also hid pixels classified as something other than shrub or grassland/herbaceous by the 2011 National Land Cover Dataset (NLCD). Cheatgrass (Bromus tectorum) is the most common annual grass in the study area. It grows from seed, usually in spring, matures quickly, produces seed, and dies. After dying, cheatgrass contributes fine fuels that faciliate fire ignition and spread throughout sagebrush ecosystems. These fires remove sagebrush stands. Increasing fire return intervals, land management practices, and development have all contributed to the fragmentation of the once expansive sagebrush ecosystems. These ecosystems are critical for water quality, reduced fire threats, and the survival of sagebrush-dependent wildlife.

Tags: annual-grass, annual-herbaceous, bromus-tectorum, california, cheatgrass, colorado, desert, fire, geoscientificinformation, great-basin, habitat, idaho, invasive, montana, ndvi, nevada, oregon, sagebrush, satellite, snake-river-plain, usgs-59149422e4b0e541a03e9a23, utah, wyoming
Organization: Department of the Interior
Precipitation Runoff Modeling System Output Data from Hydrologic Simulations of the Upper Chattahoochee River Basin in Northeast Georgia, United States

The upper Chattahoochee River Basin in northeast Georgia was modeled to produce seven example simulations of streamflow for demonstration of enhancements to the Precipitation Runoff Modeling System (PRMS). These data document the PRMS output data files from each of these simulations. Output files for the following simulations are included: 1) a baseline simulation of the existing model (includes HRU summary and basin variables output modules, and updates to depression storage), 2) a simulation using the dynamic parameters enhancement, 3) a simulation that generates an initial conditions file, 4) a simulation that uses a previously generated initial conditions file, 5) a simulation that uses the flow replacement option in the new muskingum_lake module, 6) a simulation that uses the flow through option in the new muskingum_lake module, and 7) a simulation that uses the new water use module.

Tags: model, streamflow, streamflow-modeling, usgs-59148218e4b0e541a03e993c
Organization: Department of the Interior