AndreaBozzo/ceres-open-data-index huggingface dataset:
Concentrations of Pesticides, Pharmaceuticals, Organic Waste Indicators, and Volatile Organic Chemical Contaminants and Their Predicted Effects Potential in Wadeable Southeastern USA Streams

This dataset presents the results of 475 unique organic compounds collected from 54 wadeable streams within the Southeastern, USA, collected within 10 weeks during 2014. Maximum and median exposure conditions were evaluated in relation to watershed characteristics and for potential biological effects.  This dataset contains the summary statistics (maximum and median concentrations)of detected compounds, as well as a summary of quality-assurance (blanks and replicates) samples. Also included are the statistical summaries as related to analyte specific contaminant detection/concentration data and site-specific land-use matrices, spearman-rank correlations, and ToxCast evaluations.

Tags: aquatic-health, biota, computational-toxicology, mixed-contaminants, piedmont-ecoregion, southeastern-usa, surface-water, target-analysis, usgs-5ad8f01be4b0e2c2dd27a753, wadeable-streams, wastewater-contamination
Organization: Department of the Interior
Southern Guam watershed model and Fena Valley Reservoir water-balance model input files for historic (1990‒2009) and future (2080‒2099) climate conditions

This data release contains the input files for the watershed and water-balance models that simulate historic (1990‒2009) and future (2080‒2099) climate conditions on Guam. These simulations are described in the associated Scientific Investigations Report, “Water Resources on Guam—Potential Impacts of and Adaptive Response to Climate Change" by Stephen B. Gingerich, Adam G. Johnson, Sarah N. Rosa, Mathieu D. Marineau, Scott A. Wright, Lauren E. Hay, Matthew J. Widlansky, John W. Jenson, Corinne I. Wong, Jay L. Banner, Victoria W. Keener, and Melissa L. Finucane (https://doi.org/10.3133/sir20195095). The watershed and water-balance models were previously published in “Supporting data for Fena Valley Reservoir watershed and water-balance model, southern Guam” (Rosa and Hay, 2017). 
Data are provided in two folders: 1) the PRMS_2016_historic_future folder contains the climate by hydrologic response unit (HRU) data files (CBH_files folder) needed to drive each of the modeled regions in southern Guam for the historic and future periods and a README_PRMS_2016_historic_future.txt document that describes the contents of this folder and how to update the previously published model files (Rosa and Hay, 2017) and run the watershed model with the historic and future datasets; and 2) the FVR_2016_historic_future folder contains the input files needed to run the Fena Valley Reservoir water-balance model for the historic and future periods and a README_FVR_2016_historic_future.txt document that describes the contents of this folder and how to execute the water-balance model (Rosa and Hay, 2017) with the historic and future input files.

Tags: hydrology, mathematical-modeling, usgs-5ad8df84e4b0e2c2dd27a6d7
Organization: Department of the Interior
Regional scale magnetotelluric data from the Rio Grande Rift and southern Rocky Mountains, Station rgr217

This dataset consists of 102 magnetotelluric (MT) stations collected in 2012-2014 in the Rio Grande Rift and southern Rocky Mountains. The U.S. Geological Survey acquired these data to improve regional conductivity models of the western United States. This work is in support of studies of the effect of lithospheric modification on electrical resistivity structure and tectonic evolution of the western United States.

Tags: apparent-resistivity, electromagnetic-surveying, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, impedance, magnetic-field-earth, magnetotelluric, mineral-resources-program, mrp, mt, new-mexico, phase, regional-conductivity-models, rio-grande-rift, rocky-mountains, time-series, tipper, usgs-5ada0ec3e4b0e2c2dd28d28b
Organization: Department of the Interior
Regional scale magnetotelluric data from the Rio Grande Rift and southern Rocky Mountains, Station rgr006

This dataset consists of 102 magnetotelluric (MT) stations collected in 2012-2014 in the Rio Grande Rift and southern Rocky Mountains. The U.S. Geological Survey acquired these data to improve regional conductivity models of the western United States. This work is in support of studies of the effect of lithospheric modification on electrical resistivity structure and tectonic evolution of the western United States.

Tags: apparent-resistivity, colorado, colorado-plateau, electromagnetic-surveying, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, impedance, magnetic-field-earth, magnetotelluric, mineral-resources-program, mrp, mt, phase, regional-conductivity-models, rio-grande-rift, time-series, tipper, usgs-5ad9176ae4b0e2c2dd27a906
Organization: Department of the Interior
Occurrence data for organic compounds and bioactive chemicals in water, sediment and tissue from Rocky Mountain National Park, 2012-13

This data set contains the concentration results for water- and sediment-quality and tissue samples, as well as associated quality-assurance data, collected at sampling locations located in the Rocky Mountain National Park, Colorado. Samples were collected between 2012 and 2013.  Samples were analyzed for nutrients, hormones, pharmaceutical, wastewater indicator compounds and pesticides, at the U.S. Geological Survey, National Water Quality Laboratory and the Organic Chemistry Research Laboratory, Sacramento, California.  Bioassay analyses were performed at the National Fish Health Laboratory in Kearneysville, West Virginia. Data is also archived in the National Water Information System database (https://waterdata.usgs.gov/nwis).

Tags: fish-tissue-quality, hormones, national-parks, pesticides, pharmaceutical-contamination, rocky-mountain-national-park, sediment-quality, usgs-5ad8c2eae4b0e2c2dd27a2e8, water-quality
Organization: Department of the Interior
Central Mojave Desert Vegetation Mapping Project, California, 1997-1999: Special Features Points

The Central Mojave Special Features shapefile provides point locations for known or potential places where vegetation alliances or unique stands occurred (from 1997-1999) with less than 5 hectares of spatial extent. These designations were provided separately from the Mojave Vegetation Polygons because the target standard for the polygons was a minimum mapping unit (MMU) of 5 hectares, thus methods used at the time to assign labels precluded mapping these special features as polygons. The special features points are still included because it is important to note the known or potential location of vegetation alliances for future mapping at finer spatial resolution. 
The metadata record (Mojave-Vegetation-Mapping_Special-Features-Points-Metadata.xml) and special features points shapefile (zipped shapefile, spec_feat_points.zip) are both included as attachments on the Special Features Points ScienceBase item.

Tags: arid-lands, biota, california, california-plants, california-vegetation, china-lake-naval-weapons-center, death-valley-national-park, desert-southwest, ft-irwin-military-reservation, marine-corps-air-ground-combat-center, mojave-desert, mojave-national-preserve, mojave-plants, mojave-vegetation, national-vegetation-classification, north-america, southern-california, special-features, united-states, usgs-5ad8bdd2e4b0e2c2dd27a1b1, vegetation, vegetation-alliances
Organization: Department of the Interior
2015 High Resolution Seismic Data Recorded at Six Strong Motion Seismograph Sites in Napa and Solano Counties, California

In May 2015, we acquired high-resolution seismic profiles near six strong motion instruments located in Napa and Solano Counties, California.  These strong motion instruments recorded horizontal peak accelerations (PGAs) from 0.329g to 0.611g, which were among the highest recorded in the Napa area during the 24 August 2014 Mw 6.0 South Napa Earthquake. Our goal is to measure the seismic velocities of the underlying geologic material at each strong motion site using P- and S-wave refraction tomography and analysis of surface waves, especially in the upper 30 m of the subsurface.

Tags: earthquakes, faulting-geologic, hazards, seismic-reflection-methods, seismic-refraction-methods, seismology, usgs-5ad7f162e4b0e2c2dd26171e
Organization: Department of the Interior
Declustered catalog of natural and induced earthquakes without duplicates for the central and eastern U.S.

A methodology has been developed at the U.S. Geological Survey (USGS) for making earthquake catalogs for seismic hazard analysis.  A new catalog is assembled from several preexisting catalogs.  Uniform moment magnitudes and related parameters for estimating unbiased seismicity rates are calculated.  Duplicates, explosions, mining-related earthquakes, and induced earthquakes are flagged, and the catalog is declustered.  Distinct catalogs are made for the central and eastern U.S. and the western U.S.  This data set is the declustered catalog of natural and induced earthquakes without duplicates for the central and eastern U.S.

Tags: alabama, arizona, arkansas, colorado, connecticut, delaware, district-of-columbia, earthquake, florida, georgia, hazard, illinois, indiana, induced, iowa, kansas, kentucky, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, montana, natural, nebraska, new-hampshire, new-jersey, new-mexico, new-york, north-carolina, north-dakota, ohio, oklahoma, pennsylvania, rhode-island, seismic, south-carolina, south-dakota, tennessee, texas, united-states, usa, usgs-5ad77213e4b0e2c2dd2572e0, utah, vermont, virginia, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
Catalog of natural earthquakes without duplicates for the central and eastern U.S.

A methodology has been developed at the U.S. Geological Survey (USGS) for making earthquake catalogs for seismic hazard analysis.  A new catalog is assembled from several preexisting catalogs.  Uniform moment magnitudes and related parameters for estimating unbiased seismicity rates are calculated.  Duplicates, explosions, mining-related earthquakes, and induced earthquakes are flagged, and the catalog is declustered.  Distinct catalogs are made for the central and eastern U.S. and the western U.S.  This data set is the catalog of natural earthquakes without duplicates for the central and eastern U.S.

Tags: alabama, arizona, arkansas, colorado, connecticut, delaware, district-of-columbia, earthquake, florida, georgia, hazard, illinois, indiana, induced, iowa, kansas, kentucky, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, montana, natural, nebraska, new-hampshire, new-jersey, new-mexico, new-york, north-carolina, north-dakota, ohio, oklahoma, pennsylvania, rhode-island, seismic, south-carolina, south-dakota, tennessee, texas, united-states, usa, usgs-5ad771d1e4b0e2c2dd256fd2, utah, vermont, virginia, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
Catalog of natural and induced earthquakes without duplicates for the central and eastern U.S.

A methodology has been developed at the U.S. Geological Survey (USGS) for making earthquake catalogs for seismic hazard analysis.  A new catalog is assembled from several preexisting catalogs.  Uniform moment magnitudes and related parameters for estimating unbiased seismicity rates are calculated.  Duplicates, explosions, mining-related earthquakes, and induced earthquakes are flagged, and the catalog is declustered.  Distinct catalogs are made for the central and eastern U.S. and the western U.S.  This data set is the catalog of natural and induced earthquakes without duplicates for the central and eastern U.S.

Tags: alabama, arizona, arkansas, colorado, connecticut, delaware, district-of-columbia, earthquake, florida, georgia, hazard, illinois, indiana, induced, iowa, kansas, kentucky, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, montana, natural, nebraska, new-hampshire, new-jersey, new-mexico, new-york, north-carolina, north-dakota, ohio, oklahoma, pennsylvania, rhode-island, seismic, south-carolina, south-dakota, tennessee, texas, united-states, usa, usgs-5ad770e0e4b0e2c2dd256657, utah, vermont, virginia, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
Regional scale magnetotelluric data from the Rio Grande Rift and southern Rocky Mountains, Station rgr219

This dataset consists of 102 magnetotelluric (MT) stations collected in 2012-2014 in the Rio Grande Rift and southern Rocky Mountains. The U.S. Geological Survey acquired these data to improve regional conductivity models of the western United States. This work is in support of studies of the effect of lithospheric modification on electrical resistivity structure and tectonic evolution of the western United States.

Tags: apparent-resistivity, electromagnetic-surveying, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, great-plains, impedance, magnetic-field-earth, magnetotelluric, mineral-resources-program, mrp, mt, new-mexico, phase, regional-conductivity-models, rio-grande-rift, time-series, tipper, usgs-5ada0ec4e4b0e2c2dd28d29e
Organization: Department of the Interior
Data for cheatgrass mapping in Squirrel Creek Wildfire and Arapaho Wildfire, WY in 2014

This data bundle contains some of the inputs, all of the processing instructions and all outputs from a single VisTrails/SAHM workflow.  This model specifically includes field data of locations with &gt;40% cover of cheatgrass (presence) and &lt;40% cover of cheatgrass (absence) from two wildfire locations in Wyoming. Predictors included rasters derived from Landsat 8 imagery and from a digital elevation model.  Details about both inputs are included in the associated manuscript described in the larger work citation of this metadata record. We developed models for each location and tested the transferability of the models to the other location. We built on previous work developing models for the Squirrel Creek wildfire area only, but reran these models for consistency of predictors with those of Arapaho wildfire area.
The contents of this data bundle include the following, each of which is documented in an individual metadata record.
1) '_archive_bundle_metadata.xml' (this file) which contains FGDC metadata describing the archive bundle.
2) 'arapaho_2014_with40_as_pres_for_sahm.csv' containing cheatgrass location data for Arapaho wildfire area.
3)'squirrel_all_with40_as_presence_for_sahm.csv' containing cheatgrass location data for Squirrel Creek wildfire area.
4)'predictorlist.csv' includes the list of rasters for Squirrel Creek wildfire area used to create the models.
5)'predictorlistarapaho.csv' includes the list of rasters for Arapaho wildfire area used to create the models.
6)The remaining subfolders are individual model runs containing 2 or 3 subfolders, one of the fitted random forest model output and one apply model random forest of that model applied to the other area. The name of the folder specifies which (e.g., either Squirrel_34_31_and_topo (Squirrel creek RF model fit with Landsat Path 34, row 31 and topo data) or  Squirrel_34_31_and_topo_to_Arapaho_34_31_and_topo (the former applied to Arapaho Landsat path 34 row 31).

Tags: albany, biota, fires, image-collections, invasive-species, multispectral-imaging, remote-sensing, sahm, software-for-assisted-habitat-modeling, species-distribution-modeling, squirrel-creek-wildfire, usgs-5ad658abe4b0e2c2dd23f59d, vistrails, wyoming
Organization: Department of the Interior
Polychlorinated biphenyl concentrations and lipid content in riparian spiders at the Ashtabula River Area of Concern, USA

We measured polychlorinated biphenyl (PCB) concentrations in two taxa of riparian spiders from nine sites in 2011 at the Ashtabula River Area of Concern. We analyzed the extracts for 122 congeners following EPA method SW846 Method 8270D using gas chromatography mass spectrometry in the selective ion monitoring (SIM) mode.  All target compounds were quantified using the method of internal standards, and all results were reported in ng/g (parts per billion) wet weight. Congener concentrations were summed to arithmetically calculate totals for individual homolog groups (groups of congeners that share the same number of chlorine atoms on the biphenyl ring) and for total PCBs.  The samples were also analyzed for lipid content.

Tags: aquatic-riparian-linkages, ashtabula-ohio, ashtabula-river, contaminated-sediment, environmental-forensics, inlandwaters, lake-erie, polychlorinated-biphenyls, riparian-spider, risk-management, usgs-5ad63b1ae4b0e2c2dd23f414
Organization: Department of the Interior
Basin Characteristics and Climate Data Used in Random Forest Models to Determine Hydrologic Alteration in the Mississippi Alluvial Plain

To identify the degree of hydrologic alteration of streams in the Mississippi Alluvial Plain (MAP), we used random forest (RF) regression methods (Breiman, 2001) to model the relation between six selected streamflow characteristics and explanatory variables (such as drainage area, precipitation, soils, and other watershed characteristics). RFs were chosen for this study because they have been proven to be more robust and accurate than traditional linear regression methods (Carlisle and others, 2010; Lawler and others, 2006; Prasad and others, 2006; Cutler and others, 2007). Estimated expected monthly mean streamflow from the RF models were compared to observed monthly mean streamflow at 68 sites located within the MAP and two adjacent Level III Ecoregions. We also used an additional eight sites to compare estimated expected streamflow, generated by the RF models, and observed streamflow for characteristics of flood frequency, high streamflow duration, number of zero streamflow days, frequency of low-pulse spells, and high streamflow discharge.  
This data release includes the explanatory variables (input data) used in the random-forest models (Breiman, 2001) to determine expected flows (output data) at 76 sites in the MAP. The geospatial dataset contains the point and watershed features for the sites used in the analyses.  These data were used to support the findings in the journal article titled "Quantifying Hydrologic Alteration in an Area Lacking Current Reference Conditions—The Mississippi Alluvial Plain of the South-Central U.S." by Hart and Breaker (2018). 
References:
Breiman, L. 2001, Random forests: Machine Learning, v. 45, p.5–32.
Carlisle, D.M., Falcone, J., Wolock, D.M., Meador, M.R., and Norris, R.H., 2010, Predicting the natural streamflow regime: models for assessing hydrological alteration in streams: River Research and Applications, v. 26, p.118–136.
Cutler, D.R., Edwards, T.C. Jr, Beard, K.H., Cutler, A., Hess, K.T., Gibson, J., Lawler, J.J., 2007, Random forests for classification in ecology: Ecology v. 88, p.2783–2792.
Lawler, J.J., White, D., Neilson, R.P., and Blaustein, A.R., 2006, Predicting climate-induced range shifts: model differences and model reliability: Global Climate Change Biology v. 12, p.1568–1584.
Prasad, A.M., Iverson, L.R., Liaw, A., 2006, Newer classification and regression tree techniques: bagging and random forests for ecological prediction: Ecosystems v. 9, p.181–199.

Tags: arkansas, historical-streamflow, hydrologic-alteration, kentucky, louisiana, mississippi, mississippi-alluvial-plain, missouri, random-forest, tennessee, texas, usgs-5ad618a6e4b0e2c2dd23ef32
Organization: Department of the Interior
Differenced Normalized Burn Ratio (dNBR) data of wildfires in the Sky Island Mountains of the southwestern US and Northern Mexico from 1985-2011

This dataset is composed of 253 Differenced Normalized Burn Ratio (dNBR) images.  Each dNBR represents a rough measure of fire-related vegetation change for wildfires (&gt;400 ha) that occurred in the Sky Island Mountains within the Madrean Archipelago Ecoregion of the United States and Northern Mexico.  These fires occurred between 1985 and 2011 and were mapped using Landsat 5 and Landsat 7 satellite imagery.

Tags: arizona-usa, biota, burn-mapping, chihuahua-mexico, madrean-archipelago, new-mexico-usa, remote-sensing, sonora-mexico, usgs-5ad610f1e4b0e2c2dd23ee59, wildfire
Organization: Department of the Interior
Long-term monitoring data from eastern screech owl populations in northern Ohio, 1944-1971

Data include population information of eastern screech owl (Megascops asio, formerly Otus asio) populations in four counties of northern Ohio.  Researchers recorded adult and chick color phases, eggs laid, brood size and location.

Tags: biota, birds, ecology, environment, long-term-ecological-monitoring, lucas-county-oh, migration-organisms, ornithology, ottawa-county-oh, population-dynamics, sandusky-county-oh, usgs-5ad4da53e4b0e2c2dd2267cd, wildlife-biology, wildlife-population-management, wood-county-oh
Organization: Department of the Interior
Dataset for Reproductive success and contaminant associations in tree swallows (Tachnycineta bicolor) nesting in the U.S. and Binational Great Lakes' Areas of Concern

During 2010-2014, tree swallow (Tachycineta bicolor) reproductive success was monitored at 68 sites across all 5 Great Lakes, including 58 sites located within Great Lakes Areas of concern (AOCs) and 10 non-AOCs.  Sample eggs were collected from tree swallow clutches and analyzed for contaminants including polychlorinated biphenyls (PCBs), dioxin and furans, polybrominated diphenyl ethers, and 34 other organic compounds.  Contaminant data were available for 360 of the 1249 clutches monitored.  Markov chain multistate modeling was used to assess the importance of 5 ecological and 11 of the dominant contaminants in explaining the pattern of egg and nestling failure rates.  Four of 5 ecological variables (female Age, Date within season, Year, and Site) were important explanatory variables.  Of the 11 contaminants, only total dioxin and furan toxic equivalents (TEQs) explained a significant amount of the egg failure probabilities. Neither total PCBs nor PCB TEQs explained the variation in egg failure rates.  In a separate analysis, polycyclic aromatic hydrocarbon exposure in nestling diet was significantly correlated with the daily probability of egg failure.   The eight sites within AOCs which had poorer reproduction when compared to 9 non-AOC sites, the measure of impaired reproduction as define by the Great Lakes Restoration Initiative, were associated with exposure to dioxins and furans, PAHs, or depredation.  Only 2 sites had poorer reproduction than the poorest performing non-AOC.  Using a classic (non-modeling) approach to estimating reproductive success, 82% of nests hatched at least 1 egg, and 75% of eggs hatched.

Tags: areas-of-concern, egg-failure-probability, eggs, hatching-success, industrial-pollution, nestling-failure-probability, organic-pesticides, pbdes, pcbs, pcdd-f, reproductive-success, tachycineta-bicolor, tree-swallows, usgs-5ad4aac7e4b0e2c2dd2266b3
Organization: Department of the Interior