cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/f78c9v7s
title: Annual Winter-Spring Nitrogen Loadings for the Susquehanna and Potomac Rivers, 1985 to 2016

description: Stations Analyzed are 01578310 - SUSQUEHANNA RIVER AT CONOWINGO, MD and 01646580 - POTOMAC RIVER AT CHAIN BRIDGE NEAR WASHINGTON, DC. Spring nitrogen loads as measured at the Susquehanna River at Conowingo Maryland and Potomac River at Washington, D.C. have been determined to be an effective indicator of summer anoxic and hypoxic volume in Chesapeake Bay. The U.S. Geological Survey (USGS) provides an estimate of spring nitrogen loadings to support an annual forecast of summer Chesapeake Bay conditions. This is coordinated through an established relationship with the National Oceanic and Atmospheric Administration (NOAA), University of Maryland Center for Estuarine Science (UMCES) and Maryland's Department of Natural Resources. The results presented here are updated annually, and are revised as additional monitoring results are available. The results presented here cover the period 1985 through 2016.
DOI: 10.5066/f7mg7n0j
title: White River at Noblesville, Indiana, Flood-Inundation HEC-RAS Model and GIS Data

description: Digital flood-inundation maps for a 7.5-mile reach of the White River at Noblesville, Indiana, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science website 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 White River at Noblesville, Ind., streamgage (USGS station number 03349000). Real-time stages at this streamgage may be obtained from the USGS National Water Information System at https://waterdata.usgs.gov/nwis or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at http:/water.weather.gov/ahps/, which also forecasts flood hydrographs at the same site as the USGS streamgage (NWS site NBLI3). Flood profiles were computed for the stream reach by means of a one-dimensional, step-backwater hydraulic modeling software developed by the U.S. Army Corps of Engineers. The hydraulic model was calibrated using the current (2016) stage-discharge rating at the USGS streamgage 03349000, White River at Noblesville, Ind., and documented high-water marks from the floods of September 4, 2003, and May 6, 2017. The hydraulic model was then used to compute 15 water-surface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum ranging from 10.0 ft (the NWS action stage) to 24.0 ft, which is the highest stage interval of the current (2016) USGS stage-discharge rating curve and 2 ft higher than the NWS major flood stage. The simulated water-surface profiles were then combined with a geographic information system digital elevation model (derived from light detection and ranging data having a 0.98-ft vertical accuracy and 4.9-ft horizontal resolution) to delineate the area flooded at each stage. 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: 10.18739/a2rv8n
title: Photogrammetric scans of aerial photographs of North American glaciers, 1987. Roll 2 tiffs
DOI: 10.18739/a23563
title: Photogrammetric scans of aerial photographs of North American glaciers, 1981. Roll 4 thumbnails
DOI: 10.18739/a26v79
title: Photogrammetric scans of aerial photographs of North American glaciers, 1981. Roll 3 tiffs
DOI: 10.18739/a2bn97
title: Photogrammetric scans of aerial photographs of North American glaciers, 1981. Roll 4 jpegs
DOI: 10.18739/a2gc22
title: Photogrammetric scans of aerial photographs of North American glaciers, 1981. Roll 4 tiffs
DOI: 10.18739/a2tp0h
title: Photogrammetric scans of aerial photographs of North American glaciers, 1981. Roll 3 thumbnails
DOI: 10.18739/a2zc3s
title: Photogrammetric scans of aerial photographs of North American glaciers, 1981. Roll 3 jpegs
DOI: 10.18739/a2255d
title: Photogrammetric scans of aerial photographs of North American glaciers, 1973. Roll 2 thumbnails
DOI: 10.18739/a25z6n
title: Photogrammetric scans of aerial photographs of North American glaciers, 1973. Roll 2 jpegs
DOI: 10.18739/a2sn98
title: Photogrammetric scans of aerial photographs of North American glaciers, 1973. Roll 2 jpegs
DOI: 10.18739/a2xg1r
title: Photogrammetric scans of aerial photographs of North American glaciers, 1993. Roll 2 tiffs
DOI: 10.15121/1406581
title: Utah FORGE: Groundwater Data

description: This submission includes two modeled drawdown scenarios with new supply well locations, a total dissolved solids (TDS) concentration grid (raster dataset representing the spatial distribution of TDS), and an excel spreadsheet containing well data.
DOI: 10.15121/1406582
title: Utah FORGE: Seismic and Other Shapefiles from the Roosevelt Hot Springs Area

description: Three shapefiles in this submission show the position of proposed seismic line surveys. The mid-crustal velocity anomaly file shows the extent of an anomalously low P-wave velocity zone in the subsurface. Two other files show the extent of known hydrothermal systems in the Roosevelt Hot Springs area. Another file shows the location of the proposed water pipeline to pump water from the supply wells to the deep drill site.
DOI: 10.15121/1406605
title: Utah FORGE: Milford Triaxial Test Data and Summary from EGI labs

description: Six samples were evaluated in unconfined and triaxial compression, their data are included in separate excel spreadsheets, and summarized in the word document. Three samples were plugged along the axis of the core (presumed to be nominally vertical) and three samples were plugged perpendicular to the axis of the core. A designation of "V"indicates vertical or the long axis of the plugged sample is aligned with the axis of the core. Similarly, "H" indicates a sample that is nominally horizontal and cut orthogonal to the axis of the core. Stress-strain curves were made before and after the testing, and are included in the word doc. The confining pressure for this test was 2800 psi. A series of tests are being carried out on to define a failure envelope, to provide representative hydraulic fracture design parameters and for future geomechanical assessments. The samples are from well 52-21, which reaches a maximum depth of 3581 ft +/- 2 ft into a gneiss complex.
DOI: 10.15121/1406625
title: Utah FORGE: Milford Digitized Geophysical Logs from Acord 1

description: This submission includes digitalized versions of the following: McCulloch Geothermal Corp Acord 1-26 Cover Letter McCulloch Geothermal Corp Acord 1-26 Drilling Plan McCulloch Geothermal Corp Acord 1-26 Bond Documents Division of Water Rights Permission to Drill Drillers Log Geothermal Data (Mud) Log Compensated Densilog - Neutron Log Dual Induction Focused Log BHC Acoustilog Differential Temperature Log Dual Induction Focused Log Gamma Ray Neutron Log Temperature Log Caliper Temperature Log (Run 3) Densilog Gamma Ray Neutron Log Temperature Log (Run 4) Compensated Densilog Sample Log (Page 1 of 2) Report of Well Driller Stratigraphic Report (J.E. Welsh) Photographs and Negatives of Acord 1-26 Well Site (7) Petrography Report (M.J. Sweeney) Cuttings Samples (21 Boxes at Utah Core Research Center)
DOI: 10.5066/f7wd3xr0
title: High-resolution digital elevation dataset for Mt Baker and vicinity, Washington, based on lidar surveys of 2015

description: Snow and ice-covered Mount Baker in northern Washington, is the highest peak in the North Cascades (3,286 meters or 10,781 feet) and the northernmost volcano in the conterminous United States. It is the only U.S. volcano in the Cascade Range that has been affected by both alpine and continental glaciation. The stratovolcano is composed mainly of andesite lava flows and breccias formed prior to the most recent major glaciation (Fraser Glaciation), which occurred between about 25,000 and 10,000 years ago. The most recent major eruption at Mount Baker (6,700 years ago) was accompanied by a major flank-collapse event that caused lahars to rush down the Nooksack River and then eastward into Baker Lake. In 1975-76, Sherman Crater immediately south of the summit, exhibited signs of renewed volcanic activity as a result of magma intruding into the volcano but not erupting. The DEM (digital elevation model) of Mount Baker covers approximately 201 square miles and is the product of high-precision airborne lidar (Light Detection and Ranging) surveys performed between 08/26/15 and 09/27/15 by Quantum Spatial under contract with the USGS. The DEM, represents the ground surface beneath forest cover. This release includes two raster datasets in .tif format, (1) a DEM dataset (mt_baker_dem.zip, 1.40 GB), and (2) a hillshade raster (mt_baker_hillshade.zip, 573 MB).
DOI: 10.18739/a2wg36
title: Photogrammetric scans of aerial photographs of North American glaciers, 1973
DOI: 10.5281/zenodo.1040833
title: Maternal effects 2018

description: Data accompanying <strong>Intergenerational fitness effects of the early life environment in a wild rodent (van Cann et al., 2019; Journal of Animal Ecology)</strong>
DOI: 10.14469/hpc/3218
title: TS3, B-O cleavage -1006.489203 (+18.25) 10.10.14469/hpc/3213 IRC 10.14469/hpc/3218

description: Gaussian Calculation
DOI: 10.18739/a2kz7r
title: Photogrammetric scans of aerial photographs of North American glaciers, 1993
DOI: 10.5063/f1r20zh8
title: EVOS data archiving project results: data, code and output (2016)

description: These data quantify the results of a two year data archiving effort by a small group of researchers and students at the National Center for Ecological Analysis and Synthesis at UC Santa Barbara in collaboration with the Gulf Watch Alaska synthesis group and funded by the Exxon Valdez Oil Spill Trustee Council (EVOSTC). The EVOSTC was formed following the Exxon Valdez oil spill in Alaska in 1989. Since then, the EVOSTC has funded hundreds of projects and in 2012 we began a project to recover and archive the data collected during these EVOSTC funded projects. These data and analyses summarize the archiving project results and inform a manuscript (Funder imposed data publication requirements seldom inspire data sharing) in which we ask 5 main questions about the data collected from the Exxon Valdez Oil Spill Trustee Council funded projects: 1. Twenty-five years after the EVOS, for how many projects funded by EVOSTC can we collect data? 2. Are there certain research fields that are more likely to make data available than others? 3. Are there certain sectors that are more likely to make data available than others? 4. Is the availability of data correlated to how old the data are? 5. Why did people refuse to share their data? The data here are a quantification of the responses to data outreach efforts, a data analysis script and results PDF as well as a figures script and output figures PDF.
DOI: 10.5066/f7qr4v9m
title: Effects of local shoreline and subestuary watershed condition on waterbird use: influences of geography, scale, and season in the Chesapeake Bay

description: In many coastal regions throughout the world, there is increasing pressure to harden shorelines to protect human infrastructures against sea-level rise, storm surge and erosion. This study examines waterbird community integrity in relation to shoreline hardening and land use characteristics at three geographic scales: (1) the subestuary scale characterized by seven shoreline types: bulkhead, riprap, developed, natural marsh, Phragmites-dominated marsh, sandy beach and forest; (2) the 500m landscape scale surrounding the shoreline edge; and (3) the watershed scale. From 2010 to 2014, we surveyed waterbirds within 21 subestuaries throughout the Chesapeake Bay during two seasons to encompass influx of migrating shorebirds and wading birds in late summer and migrating and wintering waterfowl in late fall. We used an Index of Waterbird Community Integrity (IWCI) based on sensitivity to human disturbance to characterize the waterbird community for each subestuary and season. IWCI scores ranged from 14.3 to 19.7. Multivariate regression model selection showed that the local subestuary scale had the strongest influence on IWCI. At this scale, percent bulkhead and Phragmites within a subestuary were the strongest predictors of IWCI, with a 10% increase in either resulting in a decrease of 0.4 to 0.5 IWCI units. Recursive partitioning revealed that thresholds greater than approximately 5 or 10% (Phragmites, bulkhead) led to a decrease in waterbird community integrity. Our results indicate that shoreline development at the subestuary scale has an important effect on waterbird community integrity, and that shoreline hardening and invasive Phragmites have a negative effect on waterbirds using subestuarine systems.
DOI: 10.5063/f19s1p6h
title: The National Eutrophication Survey: lake characteristics and historical nutrient concentrations

description: Historical ecological surveys are an important source of baseline information to provide context for contemporary research, yet many of these records are not preserved in a way to ensure their long-term usability. The National Eutrophication Survey database is currently only available as portable document files (PDF) scanned from printed records with no embedded character information. This limits its searchability and the ability of current and future scientists to systematically evaluate its contents. The data was collected by the United States Environmental Protection Agency between 1972 and 1975, as part of an effort to investigate eutrophication in freshwater lakes and reservoirs. Although several studies have hand-transcribed portions of the database in support of specific studies, there have been no systematic attempts to transcribe and preserve the database in its entirety. Here we use a combination of automated optical character recognition and manual quality assurance to make this data available for analysis. The performance of the optical character recognition procedure was highly variable depending on scan quality. For each of the four archival pdf files, we found an error rate of between 5.9 and 17%. The goal of our approach was to strike a balance efficiency and data quality by combining hand-entry of data with digital transcription technologies. The finished database contains information on the physical characteristics, hydrology, and water quality of about 800 lakes in the continental United States. This database could be combined with more recent data to generate meta analyses of water quality trends and spatial variation across the continental United States.
DOI: 10.5066/f78p5zgr
title: Water temperature in Three Sisters Springs, and water temperature and level in Magnolia Spring: Winter 2014-15

description: Water level and water temperature from Magnolia Spring were recorded with a level datalogger (HOBO U20-001-01-Ti; Onset Computer Corp., Bourne, MA) set to record every 15 min. The datalogger was attached to a Crystal River National Wildlife Refuge signpost (LAT 28.8913, LONG -82.5925). Data were reported in meters of water depth to the logger and degrees Celcius. Water temperature from Three Sisters Springs was recorded with a water temperature datalogger (HOBO U22; Onset Computer Corp., Bourne, MA) set to record every 15 min. The datalogger was attached to a Crystal River National Wildlife Refuge signpost (LAT 28.8885, LONG -82.5891) set to record at a 15 min interval. Data were reported in degrees Celcius.
DOI: 10.5066/f7ff3r9d
title: Missouri River Bend Classification

description: Management actions intended to increase growth and survival of pallid sturgeon (Scaphirhynchus albus) age-0 larvae on the Lower Missouri River require a comprehensive understanding of the geomorphic habitat template of the river. The datasets described here are intended to support decisions relating to where channel-reconfiguration projects should be located to optimize effectiveness of interception rearing complexes (IRCs). The bend-scale geomorphic classification of the Lower Missouri River is intended to help in the design of monitoring and evaluation of IRC projects. The bend-scale classification was based on geomorphic and engineering variables for 257 bends from Sioux City, Iowa to the confluence with the Mississippi River near St. Louis, Missouri. We developed 5 datasets to underlie the classification; these data were aggregated at the bend level and used in k-means clustering to identify groupings of bends that shared the same characteristics. Separate 3-, 4-, and 6-cluster classifications were developed and mapped; the final bend classification dataset is includeed in this data release.
DOI: 10.5066/f7g73cnk
title: Summaries of selected SSURGO soil attributes within the Lake Michigan Diversion Accounting (LMDA) system

description: As part of the Lake Michigan Diversion Accounting (LMDA), the U.S. Army Corps of Engineers, Chicago District (USACE-Chicago) uses Hydrological Simulation Program-Fortran (HSPF) models to estimate runoff from the ungaged portion of the diverted Lake Michigan watershed. Simulation accuracy is evaluated at nine gaged watersheds in or adjacent to the diverted watershed. This data release consists of an Excel file containing 18 Soil Survey Geographic Database (SSURGO) attributes summarized using various aggregation methods for gaged and ungaged areas in the LMDA system. The gaged areas are comprised of the nine gaged watersheds used for HSPF model calibration and three gaged upstream basins. The ungaged areas are comprised of four sewered areas known as special contributing areas (SCAs) and two ungaged areas: the Lower Des Plaines and the Calumet. These data were derived from county-level SSURGO data for Illinois and Indiana.
DOI: 10.5066/f7vq316v
title: North Fork Salt Creek at Nashville, Indiana, Flood-Inundation Model and GIS Data

description: Digital flood-inundation maps for a 3.2-mile reach of North Fork Salt Creek at Nashville, Indiana, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://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 03371650, North Fork Salt Creek at Nashville, Ind. Real-time stages at this streamgage may be obtained on the Internet from the USGS National Water Information System at http://waterdata.usgs.gov/nwis or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at http:/water.weather.gov/ahps/ (NWS site NFSI3). Flood profiles were computed for the stream reach by means of a one-dimensional, step-backwater hydraulic modeling software developed by the U.S. Army Corps of Engineers. The hydraulic model was calibrated using the current stage-discharge rating at the USGS streamgage 03371650, North Fork Salt Creek at Nashville, Ind. The hydraulic model was then used to compute 12 water-surface profiles for flood stages at 1-foot (ft) intervals, except for the highest profile of 22.9 ft, referenced to the streamgage datum ranging from 12.0 ft (the NWS action stage) to 22.9 ft, which is the highest stage of the current USGS stage-discharge rating curve and 1.9 ft higher than the NWS major flood stage. The simulated water-surface profiles were then combined with a Geographic Information System digital elevation model (derived from light detection and ranging [lidar] data having a 0.98-foot vertical accuracy and 4.9-foot horizontal resolution) to delineate the area flooded at each stage. The availability of these maps, along with information regarding current stage from the USGS streamgage, 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 post-flood recovery efforts.
DOI: 10.5281/zenodo.1040834
title: Maternal effects 2018

description: Data accompanying <strong>Intergenerational fitness effects of the early life environment in a wild rodent (van Cann et al., 2019; Journal of Animal Ecology)</strong>
DOI: 10.5066/f7v98780
title: Fledging times of grassland birds in North Dakota and Minnesota

description: The data set provides information on the fledging times of passerine grassland birds. Data were collected from video surveillance of 70 nests of 9 bird species that nested in grasslands of Minnesota and North Dakota, USA. The data include year, unique nest number, species, date and time of fledging by nestling.
DOI: 10.5281/zenodo.1043437
title: POLYMOD social contact data

description: This is the POLYMOD study data.
description: {"references": ["Mossong J, Hens N, Jit M, Beutels P, Auranen K, et al. (2008) Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases. PLOS Medicine 5(3): e74. https://doi.org/10.1371/journal.pmed.0050074"]}
DOI: 10.14469/hpc/3221
title: 3, TPSSh/Def2-TZVPP/SCRF=thf TS, triplet, optimized geometry, free energy -7769.768967, 8.1 kcal/mol lower than singlet TS.

description: Gaussian Calculation
DOI: 10.18739/a29k16
title: Photogrammetric scans of aerial photographs of North American glaciers, 1975. Roll 5 thumbnails
DOI: 10.18739/a25s0n
title: Photogrammetric scans of aerial photographs of North American glaciers, 1978. Roll 5 thumbnails
DOI: 10.18739/a2x856
title: Photogrammetric scans of aerial photographs of North American glaciers, 1978. Roll 5 tiffs
DOI: 10.4119/unibi/2914921
title: Sparkhit evaluation data set

description: Motivation: The increasing amount of next-generation sequencing data poses a fundamental challenge on large scale genomic analytics. Existing tools use different distributed computational platforms to scale-out bioinformatics workloads. However, the scalability of these tools is not efficient. Moreover, they have heavy run time overheads when pre-processing large amounts of data. To address these limitations, we have developed Sparkhit: a distributed bioinformatics framework built on top of the Apache Spark platform. <br> Results: Sparkhit integrates a variety of analytical methods. It is implemented in the Spark extended MapReduce model. It runs 92 to 157 times faster than MetaSpark on metagenomic fragment recruitment and 18 to 32 times faster than Crossbow on data pre-processing. We evaluated sensitivity and accuracy with the simulated data provided here.
DOI: 10.5066/f79022rv
title: Nonindigenous aquatic species and potential spread after Hurricane Maria

description: This map was created to help assess impacts on nonindigenous aquatic species distributions due to flooding associated with Hurricane Maria. Storm surge and flood events can assist expansion and distribution of nonindigenous aquatic species through the connection of adjacent watersheds, backflow of water upstream of impoundments, increased downstream flow, and creation of freshwater bridges along coastal regions. This map will help natural resource managers determine potential new locations for individual species, or to develop a watch list of potential new species within a watershed. These data include a subset of data from the Nonindigenous Aquatic Species Database, that fall within the general area of the 2017 Hurricane Maria flooding.