cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/f7zc81sv
title: Reductive dechlorination rate data for 4,4'-DDE in sediments of the Palos Verdes Shelf, CA (1981-2010)

description: Wastes from the worlds largest manufacturer of DDT were released into the Los Angeles County municipal sewer system from 1947 to 1971. Following primary treatment, the effluent was discharged from a submarine outfall system whereupon a portion of the DDT and associated degradation products were deposited in sediments of the Palos Verdes Shelf (PVS). Parent DDT is present only in trace amounts in the sediments today, the vast majority having been transformed to DDE shortly following deposition. Previously believed to be inert, DDE is slowly being converted to DDMU and DDMU to DDNU via microbially-mediated reductive dechlorination (RDC). Kinetic and compositional data suggest that this process began sometime in the mid- to late 1970s. Rates of DDE RDC in shelf sediments are spatially variable and have proven difficult to determine accurately. This limits our ability to understand the factors controlling RDC rates and to predict the course of natural recovery. In the present study, concentrations of ten DDT compounds and twelve PCB (polychlorinated biphenyl) congeners were determined in cores collected at two locations on the PVS (stations 3C, 6C, ~7 km and ~2 km downcurrent from the outfalls, respectively). DDE inventories, normalized to those of non-degrading PCB congeners having similar physico-chemical properties, were modeled to yield first-order RDC rates for the period 1981-2010. Average rates at the two sites were 0.044 0.004 (3C) and 0.008 0.002 yr-1 (6C), respectively, with depth-dependent RDC rates at station 3C (1992-2003) ranging from 0.0025 to 0.102 yr-1. Comparison of RDC and total loss (i.e., RDC + physical loss) rates suggests that the average per cent loss of DDE due to RDC is ~90% at station 3C (1981-2010) and ~57% at station 6C (1992-2010). Trajectories of adjusted molar inventories of DDE, DDMU, and DDNU were forecast using a first-order multi-step reaction series model. The results for DDE are consistent with the normalization procedure, RDC rates at stations 3C and 6C were 0.036 0.002 yr-1 and 0.010 0.001 yr-1, respectively. At station 6C, the DDE to DDMU transformation appears to be the rate limiting step in the reaction sequence, DDE (k_1 ) ⃗ DDMU (k_2 ) ⃗ DDNU (k_3 ) ⃗ unidentified compound(s), whereas at station 3C RDC rates for DDE and DDMU are roughly equivalent. At both locations the transformation rate of DDNU is 7-20 times that of the other steps. Estimated half-lives of DDE at stations 3C and 6C based on the M-SRS model results are ~19 and 72 years, respectively.
DOI: 10.15785/sbgrid/839
title: X-Ray Diffraction data from Superoxide Dismutase, source of 6D52 structure

description: Superoxide dismutase (SodCI) at 1.6 A resolution with 4 molecules in the ASU. Origin SALMONELLA TYPHIMURIUM. Native data one crystal 360 deg rotation on Dectris Eiger X 9M in hdf5 format. APS 21-ID-D. pH 5.5 data.
description: XDS, DETECTOR_DISTANCE= 200, ORGX= 1547.0 ORGY= 1634.0 OSCILLATION_RANGE=0.1 DATA_RANGE=1 3600. XSCALE.
DOI: 10.5066/p9kl4il2
title: Summary of borehole information at the former Naval Air Warfare Center, West Trenton, New Jersey

description: This dataset includes positional data (latitude, longitude, altitude), construction details, and other relevant information for each borehole located at the former Naval Air Warfare Center, West Trenton, New Jersey. Cores, sealed wells, and test interval zones are also included.
DOI: 10.5066/f7z60n8t
title: Water chemistry data for Fourmile Creek Watershed, 2010-2015
DOI: 10.6084/m9.figshare.14787771
title: Supplemental File 6. Correlation plots between TNT and novel pastures.

description: Correlation plots between TNT and novel pastures.
DOI: 10.6084/m9.figshare.14787771.v1
title: Supplemental File 6. Correlation plots between TNT and novel pastures.

description: Correlation plots between TNT and novel pastures.
DOI: 10.5066/p936rirp
title: Fleas collected from black-tailed prairie dog burrows in 2016 and 2017

description: The data are a list of the number and species of fleas that were collected from black-tailed prairie dog burrows in Montana, North Dakota, South Dakota, Colorado, and New Mexico. Fleas were collected by swabbing ~100 burrows at 3 sites at each of 6 sites. Burrows were sampled twice each summer during 2016 and 2017.
DOI: 10.5066/f70c4t8f
title: Data Release for the influence of data characteristics on detecting wetland/stream surface-water connections in the Delmarva Peninsula, Maryland and Delaware

description: The datasets were generated for the Upper Choptank River Watershed in Maryland and Delaware. Depressions and the total stream network were derived from a lidar DEM collected during AprilJune 2003 (vertical accuracy root mean square error (RMSE) = 14.3 cm) and MarchApril 2006 (vertical accuracy RMSE = 18.5 cm) for Maryland (1 m resolution) and April 2007 (vertical accuracy RMSE = 18.5 cm) for Delaware (3 m resolution)). Three Landsat images were used to create a surface-water extent map from Landsat including Landsat-8 images collected on April 4, 2015 (p14r33) and April 11, 2015 (p15r33) and a Landsat-7 ETM+ image collected on April 12, 2015 (p14r33). The datasets were used with other previously published datasets to test how data characteristics influence our interpretation of connectivity between wetlands and streams in a watershed.
DOI: 10.5066/f79k48fx
title: Data related to the degree of potential human influence near 2228 groundwater wells in the U.S. glacial aquifer system

description: This dataset contains information on the degree of potential human influence near 2228 groundwater wells in the U.S. glacial aquifer system. Data include well identification, name, latitude, longitude, potential-human-influence category, percent urban and crop land use in a 500 meter radius around each well, and measures of county-based groundwater use and irrigation.
DOI: 10.5066/f7d50kwr
title: Tackifier impacts on growth of Great Basin mosses Bryum argenteum and Syntrichia ruralis, a growth chamber study, 2017-2018

description: The dataset supports a larger study that examined the impacts of three tackifiers (guar, psyllium, and polyacrylamide) on growth of two dryland mosses (Bryum argenteum and Syntrichia ruralis). Moss fragments were grown in petri dishes and subjected to individual tackifiers in one of three possible concentrations (0.5x, 1x, or 2x) of the respective manufacturer's recommended application rate. Distilled water was used as a control treatment, giving a total of ten treatments (nine tackifier-concentration combinations and a water control). Bryum fragments were watered four times daily for six weeks and Syntrichia fragments were watered twice daily for five weeks, after which the experiments were concluded. Shoot length, shoot number, gemma presence, protonema presence, bound sand mass, and moss organic matter mass were all measured at the end of the experiments. This dataset reports all measurements and calculations related to Bryum argenteum and Syntrichia ruralis and additional information describing mass determinations.
DOI: 10.5066/p9c3fsoc
title: Vegetation cover data used from the Soil Vegetation Inventory Method (SVIM) for Southwest Idaho

description: The US Department of Interior's (USDI) Bureau of Land Management (BLM) has a long history of soil and vegetation monitoring of public rangelands it manages. However, historical monitoring data have been stored and managed at the field, district, or state level, making them difficult to compile and analyze. BLM's Soil Vegetation Inventory Method (hereafter SVIM) program occurred between 1977 and 1983 in Arizona, California, Colorado, Idaho, Montana, New Mexico, Nevada, Oregon, Utah, and Wyoming. Our objective was to extract and decode vegetation cover data from the SVIM dataset in a georeferenced, digital format. Vegetation cover data are available for 22,578 SVIM site write-up areas in nine states. The wide geographic coverage of the SVIM dataset will make it an outstanding resource for researchers interested in quantifying vegetation change through time in rangelands of the western US. For several studies, the USGS created a crosswalk table to convert SVIM species codes into their modern counterparts for species within the Great Basin, USA. This crosswalk table also converted questionable or incorrect species codes (codes with mistyped codes or species that did not occur in the area) into their most likely species code based on the area in which they were sampled. This conversion was completed using a local expertise along with the USDA Plants Database (https://plants.sc.egov.usda.gov/java/).
DOI: 10.15785/sbgrid/840
title: X-Ray Diffraction data from Superoxide Dismutase, source of 6VBS structure

description: C2 version of Superoxide Dismutase with 6 molecules/ASU. pH 6.5. With ammonium sulfate. See 6D52 for 4 molecules and 6VBT for 2 molecules. Dectris Eiger X 9M
description: Used Global Phasing Autoproc which uses XDS VERSION MAR 15, 2019 and STARANISO VERSION 2.2.19.
DOI: 10.5066/f7tq60tb
title: Bear capture recapture sampling in Glacier National Park, Montana, 2004

description: Text files containing detection events from genetic sampling sites associated with the unique identifier of American black bears in Glacier National Park, Montana, USA, 2004. Data is formatted for spatial capture recapture data analysis.
DOI: 10.5066/f73777k4
title: Nutrient and pesticide data collected from the USGS National Water Quality Network and previous networks, 1963-2016

description: The National Water Quality Network (NWQN) for Rivers and Streams includes 113 surface-water river and stream sites monitored by the U.S. Geological Survey (USGS) National Water Quality Program, National Water-Quality Assessment (NAWQA) Project. The NWQN includes 19 large river coastal sites, 44 large river inland sites, 30 wadeable stream reference sites, 10 wadeable stream urban sites, and 10 wadeable stream agricultural sites. In addition to the 113 NWQN sites, 3 large inland river monitoring sites from the USGS Cooperative Water Program are also included in this annual water-quality reporting Web site to be consistent with previous USGS studies of nutrient transport in the Mississippi-Atchafalaya River Basin. This data release provides streamflow, nutrient, pesticide and sediment data collected and analyzed by NWQN and other historical water-quality networks from 1963-2016. Data from this release are presented at the USGS Tracking Water Quality page: http://cida.usgs.gov/quality/rivers/home.
DOI: 10.5066/p9cxx7ln
title: Prediction grids of pH for the Mississippi River Valley Alluvial and Claiborne Aquifers

description: Groundwater is a vital resource to the Mississippi embayment region of the central United States. Regional and integrated assessments of water availability that link physical flow models and water quality in principal aquifer systems provide context for the long-term availability of these water resources. An innovative approach using machine learning was employed to predict groundwater pH across drinking water aquifers of the Mississippi embayment. The region includes two principal regional aquifer systems; the Mississippi River Valley alluvial (MRVA) aquifer and the Mississippi embayment aquifer system that includes several regional aquifers and confining units. Based on the distribution of groundwater use for drinking water, the modeling effort was focused on the MRVA, Middle Claiborne aquifer (MCAQ), and Lower Claiborne aquifer (LCAQ) of the Mississippi embayment aquifer system. Boosted regression tree (BRT) models (Elith and others, 2008; Kuhn and Johnson, 2013) were used to predict pH to 1-km raster grid cells of the National Hydrologic Grid (Clark and others, 2018). Predictions were made for 7 aquifer layers (1 MRVA, 4 MCAQ, 2 LCAQ) following the hydrogeologic framework used in a regional groundwater flow model (Hart and others, 2008). Explanatory variables for the BRT models included attributes associated with well position and construction, surficial variables, and variables extracted from a MODFLOW groundwater flow model for the MISE (Haugh and others, 2020). For a full description of modeling workflow see Knierim and others (2020). References Elith, J., Leathwick, J.R., and Hastie, T., 2008, A working guide to boosted regression trees: Journal of Animal Ecology, v. 77, no. 4, p. 802-813. Hart, R.M., Clark, B.R., and Bolyard, S.E., 2008, Digital Surfaces and Thicknesses of Selected Hydrogeologic Units within the Mississippi Embayment Regional Aquifer Study (MERAS): U.S Geological Survey Scientific Investigations Report 2008-5098. Haugh, C.J., Killian, C.D., and Barlow, J.R.B., 2020, The Mississippi embayment regional aquifer system (MERAS) groundwater-flow model, version 2.1: U.S. Geological Survey, accessed at https://doi.org/10.5066/P9906VM5. Knierim, K.J., Kingsbury, J.A., Haugh, C.J., and Ransom, K.M., 2020, Using boosted regression tree models to predict salinity in Mississippi embayment aquifers: Journal of the American Water Resources Association, Kuhn, M., and Johnson, K., 2013, Applied Predictive Modeling: Springer, New York, New York, 595 p. Ransom, K.M., Nolan, B.T., Traum, A.J., Faunt, C.C., Bell, A.M., Gronberg, J.A.M., Wheeler, D.C., Rosecrans, C.Z., Jurgens, B., Schwarz, G.E., Belitz, K., Eberts, S.M., Kourakos, G., and Harter, T., 2017, A hybrid machine learning model to predict and visualize nitrate concentration throughout the Central Valley aquifer, California, USA: Science of The Total Environment, v. 601-602, p. 1160-1172, https://doi.org/10.1016/j.scitotenv.2017.05.192.
DOI: 10.5066/p9b1xu7o
title: Repeat Magnetotelluric Transfer Functions from the 2012 Eruption of Tongariro, New Zealand

description: This dataset consists of 16 repeated magnetotelluric (MT) stations collected on Mount Tongariro, New Zealand, before (2009) and after (2013) the 2012 eruption. The data were collected in same locations with similiar instruments. Preeruption and posteruption electromagnetic magnetotelluric measurements determine variation in subsurface electrical properties resulting from changes in magmatic system associated with the 2012 eruptive cycle.
DOI: 10.5066/f76d5rw8
title: USGS Gap Analysis Project Additional Data: Canopy Cover

description: Some species respond to the amount of canopy cover within a habitat type. The Percent Canopy Cover dataset was derived from the National Land Cover Dataset. The canopy cover database was compiled from the National Land Cover Dataset, and classifies each pixel into 101 possible values (0% - 100%). The canopy density estimate applies to the forest classes only. For further information on Canopy Cover, see http://landcover.usgs.gov/pdf/canopy_density.pdf. This dataset is a continuous canopy cover percentage and cover the entire U.S. These raster data have a 30 m x 30 m cell resolution. The USGS Gap Analysis Project (GAP) used the best information available to create the elevation ancillary data; however GAP seeks to improve and update these data as new information becomes available.
DOI: 10.5066/p9bt38wu
title: Site and Survey Data for Dixie Valley Toads in Churchill County, Nevada, 2019

description: These data include site- and survey-specific information for occupancy surveys of Dixie Valley Toads (Anaxyrus williamsi) collected in the Dixie Valley, Churchill County, Nevada, in May 2019. The data include both multiple surveys of the same sites and time-to-detection information to quantify detection probabilities and account for imperfect detection in assessments of Dixie Valley Toad occupancy. These data support the following publication:
DOI: 10.5066/p912fo3l
title: Geospatial datasets for the flood-inundation study for the Iowa River at the Meskwaki Settlement in Iowa, 2019

description: Digital flood-inundation maps for a 9.3-mile reach of the Iowa River along the Meskwaki Settlement, Iowa, were created by the U.S. Geological Survey (USGS) in cooperation with the Sac and Fox Tribe of the Mississippi River in Iowa. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science web site at https://water.usgs.gov/osw/flood_inundation/ depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage 05451770 on the Iowa River at County Highway E49 near Tama, Iowa. Near-real-time stages at this streamgage may be obtained on the internet from the USGS National Water Information System at https://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at https://water.weather.gov/ahps/, which also forecasts flood hydrographs at this site. Flood profiles were computed for the stream reach by means of a calibrated one-dimensional and two-dimensional step-backwater hydraulic model. The model was calibrated by using the current stage-discharge relation at the USGS streamgage 05451770 on the Iowa River at County Highway E49 near Tama, Iowa, and stage and discharge data from historic flooding events that were recorded at the streamgage. The hydraulic model was then used to compute eight water-surface profiles for flood stages at 1-foot intervals referenced to the streamgage datum and ranging from the NWS "action stage" of 11 feet (ft) to 18 ft, the stage exceeding the estimated 0.2-percent annual exceedance probability (500-year recurrence interval) flood, as determined at the USGS streamgage 05451770 on the Iowa River at County Highway E49 near Tama, Iowa. The simulated water-surface profiles were then combined with a geographic information system digital elevation model to delineate the area flooded at each flood stage (water level). The availability of these maps, along with internet information regarding current stage from the USGS streamgage and forecasted high-flow stages from the NWS, will provide emergency management personnel and residents with information that is critical for flood-response activities such as evacuations and road closures, as well as for postflood recovery efforts.
DOI: 10.15785/sbgrid/841
title: X-Ray Diffraction data from Superoxide Dismutase Cu/Zn, source of 6VBT structure

description: P212121 version of Superoxide Dismutase with 2 molecules/ASU. See also 6D52 (4) and 6VBS (6). pH 6.6. Dectris Eiger X 9M hdf5 data.
description: Used Global Phasing AutoProc, which uses XDS VERSION MAR 15, 2019 and STARANISO VERSION 2.2.19.
DOI: 10.5066/f7319sxx
title: Estimates of soil water deficit during California drought, January 1, 2014

description: ** September 16, 2014: Because this information has immediate and time-sensitive relevance to public health and welfare owing to the Governor of California\'s declared drought emergency, it is being released as preliminary information. As preliminary information, it had been reviewed and approved to meet the needs for timely best science, but the methodology is subject to refinement. The information is provided on the condition that neither the U.S. Geological Survey nor the U.S. Government may be held liable for any damages resulting from the authorized or unauthorized use of the information. Future updates may be available using this website. **
DOI: 10.5066/p9l1k6sj
title: Repeat microgravity data from Kilauea Volcano, Hawaii

description: These data are microgravity measurements collected at the summit of Kilauea Volcano, Hawaii. Data are collected using multiple instruments, with each file representing measurements from a specific instrument during a specific time period. The data dictionary explains the file format and contents, and the dataset will be updated as new measurements are collected.
DOI: 10.5066/f7zc81t9
title: Humpback Chub (Gila cypha) and Rainbow Trout Joint Mark-Recapture Data and Model, Colorado River, Arizona

description: These data were compiled for a joint mark-recapture analysis of humpback chub and rainbow trout and include capture histories for both species, as well as environmental covariates associated with monthly time steps used to measure survival and growth and environmental covariates used to predict capture probability during each sampling trip. This worksheet also include parameter estimates and associated variance-covariance matrix from a prior analysis, which were combined with the output from the joint mark-recap analysis to predict equilibrium adult abundances under a variety of scenarios. These data are associated with the journal manuscript: Yackulic, C.B., Korman, J., Yard, M.D., and Dzul, M.C., 2018, Inferring species interactions through joint mark-recapture analysis: Ecology (online) http://dx.doi.org/10.1002/ecy.2166.
DOI: 10.5066/f7fn15hc
title: Population dynamics of humpback chub, rainbow trout and brown trout in the Colorado River in its Grand Canyon Reach: modelling code and input data

description: These data were compiled to fit an integrated population model of brown trout in the Glen Canyon Reach of the Colorado River and test different hypotheses regarding the driver of brown trout population dynamics. Also, data were compiled as inputs for a model to simulate population dynamics and species interactions among brown trout, rainbow trout and humpback chub in the Colorado River between Glen Canyon Dam and the confluence of the Colorado River and the Little Colorado River. The purpose of compiling these data is to gain a better understanding of the potential causes of recent increases in brown trout, test various hypotheses and derive parameters for simulation models. Data were collected incindentally as part of two studies primarily focused on the rainbow trout in the same reaches. Parameter estimates and temperature and flow predictions were collated as inputs for a model to inform stakeholders of the Glen Canyon adaptive management program of the potential outcomes from various management actions. These data are associated with the USGS Open-File Report: Runge, M.C., Yackulic, C.B., Bair, L.S., Kennedy, T.A., Valdez, R.A., Ellsworth, C., Kershner J.L., Rogers, R.S., Trammell, M.A., and Young, K.L., 2018, Brown trout in the Lees Ferry reach of the Colorado River--Evaluation of causal hypotheses and potential interventions: U.S. Geological Survey Open-File Report 2018-1069, 83 p., https://doi.org/10.3133/ofr20181069.
DOI: 10.5066/f7j67fd2
title: Measures of the vulnerability of runoff to drought during 2015 in the western United States

description: Measures used to assess the vulnerability of streamflow in 326 river basins to the 2015 drought in the western United States.