cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9n0g43h
title: Data from a flume investigation using Fiber Optic Distributed Temperature Sensing (FO-DTS), U.S. Geological Survey Geomorphology and Sediment Transport Laboratory, Golden, Colorado, spring 2018

description: Evaluating technologies and approaches to detect the infiltration of fines into coarser materials has implications for monitoring the condition of habitat restoration sites. This goal motivated testing the efficacy of Fiber Optic Distributed Temperature Sensing (FO-DTS) as a technique for detecting the infiltration of fine sediment into gravels. Experiments were conducted in a laboratory flume at the USGS Geomorphology and Sediment Transport Laboratory (GSTL) in Golden, Colorado. A 10 meter fiber optic cable was placed in the flume with one half of the cable buried approximately 6 centimeters in a substrate (gravel, sand, and mixtures of the two) along the length of the flume, while the other half was placed at the sediment/water interface. The gravel had a median grain size of approximately 10 millimeters and the sand 0.6 millimeters. In order to differentiate the halves of the cable we adopted the convention of referring to the cable at the sediment-water interface being located on the left side of the flume and the buried section on the right side. The terms left and right are taken from the viewpoint of an observer facing in the direction of flow in the flume. Water in the tail tank was heated for 12 hours and then the heater was shut off for 12 hours. Water from the tank was circulated through the flume during this cycle and a temperature profile was recorded with a Silixa XT-DTS along the entire length of the FO cable once every minute . This data set contains the results of 6 experiments conducted at GSTL during the spring of 2018. The first experiment is referred to as a "control" wherein both the left and right side of the cable were exposed with no substrate present. A gravel only and sand only substrate were used in experiments 2 and 3 respectively. Experiments 4 through 6 consisted of a mixture of gravel with progressively greater volumes of sand added for each successive experiment. These are referred to as mixture 1, mixture 2, and mixture 3 respectively.
DOI: 10.5066/p981qcf7
title: Phytoplankton, Microbial Source Tracking, and Metagenomics Data for Evaluation of Restoration Efforts at Urban Beaches on Southern and Western Lake Michigan, 2016-2018

description: The U.S. Geological Survey (USGS), in cooperation with the Great Lakes Restoration Initiative, collected data in 2017 to study the sources and occurrences of continual detections of high Escherichia coli (E. coli) detections at urban beaches along the Lake Michigan shoreline in northwest Indiana and northeastern Illinois. High E. coli detections cause the beaches to be closed for recreational use until additional samples verify that E. coli levels have fallen below the threshold of 235 counts per 100 ml. The project used microbial source tracking (MST) and metagenomics analyses to evaluate the sources of E. coli. This data release provides the phytoplankton, mictobial source tracking, and metagenomics components of the study and may be used in conjunction with continuous water-quality parameters and surface-water samples to understand biological and environmental indicators to help evaluate conditions conducive to high E. coli levels. In addition synoptic surveys of water quality, circulation/transport, and bathymetry were done to help study surface-water flow patterns. Groundwater samples were taken to compare with surface-water E. coli concentration results. Groundwater wells were installed at Jeorse Park Beach in 2017, and additional wells were installed at Whihala beach West in late 2017 and early 2018.
DOI: 10.5066/p9u2a2ku
title: Physical and Statistical Simulations of Daily Streamflow (2000-2010) across the Continental United States for an Analysis of Blended Simulation Methods

description: This data set serves to archive the data, analysis and models of the associated publication entitled "Calibration of the USGS National Hydrologic Model in Ungauged Basins Using Statistical At-Site Streamflow Simulations" as published in the Journal of Hydrologic Engineering. The input data files included here as comma-separated values contain measured streamflow, streamflow simulated by the Precipitation-Runoff Modeling System calibrated to measured streamflow, streamflow simulated by the Precipitation-Runoff Modeling System calibrated to streamflow simulated by pooled ordinary kriging, and streamflow simulated by pooled ordinary kriging at 1,410 streamgage locations across the United States. These data sets, built on previously published models, are assessed in the included analysis script (R programming language) to reproduce the findings of the associated manuscript. The manuscript argues that statistically generated daily streamflow can be used to support the ability of physical models to represent hydrologic processes at ungauged locations. The objective of this study was to determine the feasibility of using simulations in place of measured streamflow to calibrate physical models in ungauged basins. Calibrating with statistically simulated streamflow produced performances within 23% of applications with knowledge of at-site measurements. Furthermore, statistically generated streamflows produced accurate timing information, which, when combined with alternative data sets (e.g., evapotranspiration, recharge, etc.), can be used to improve representation of hydrologic processes at ungauged locations.
DOI: 10.5066/f7k35sjh
title: Advective and diffusive snowpack carbon dioxide fluxes from 2009-2016 at GLEES, Wyoming

description: Hourly carbon dioxide (CO2) measurements from four locations of snowpack profiles with vertical spacing of 20 cm over seven winters (2010-2016) at the Glacier Lakes Ecosystem Experiments Site (GLEES) in southern Wyoming. All supporting data on snowpack properties (mostly modeled) are included to calculate hourly snowpack CO2 fluxes from raw data. In addition, turbulence from the adjacent AmeriFlux eddy covariance scaffold are included for statistical analyses. For comparison purposes, manual CO2 measurements collected at the site from 1998-1999 and 2004-2010 are also included. In addition to data, all scripts are provided to calculate fluxes and determine statistical effects of year, replicate and turbulence on calculated fluxes using R software.
DOI: 10.5066/f7319tc5
title: Code, data, executables, and other information used to run Unit Flows in Networks of Channels (UFINCH) - A method for simulating unit and daily flows in networks of channels described by NHDPlus using continuous flow data at U.S. Geological Survey streamgages

description: This U.S. Geological Survey (USGS) data release contains the code, data, executables, and other information necessary to run the application Unit Flows in Networks of Channels (UFINCH). The UFINCH application is a computer code that utilizes the geospatial stream connectivity and catchment geometry described in National Hydrography Dataset Plus value added attributes (NHDPlus Version 2) to simulate unit (15-minute) flows in networks of channels, generally by use of daily flows at the most downstream stream segment in a basin at which a USGS streamgage is located. Preliminary testing indicates that UFINCH may be most applicable for simulating unregulated, non-estuarial, flows in basins as large as 3,000 square miles in area. Streamgage information is available for the continental United States, Hawaii, Puerto Rico, and the Virgin Islands. Alaska is not included in this streamgage dataset. The contents of this data release support the following publication: Holtschlag, D.J., 2016, UFINCH-A method for simulating unit and daily flows in networks of channels described by NHDPlus using continuous flow data at U.S. Geological Survey streamgages: U.S. Geological Survey Scientific Investigations Report 2016-5074, 17 p., https://doi.org/10.3133/sir20165074.
DOI: 10.5066/f72j6b1m
title: Potential Land-use Intensity, Aridification Trends, Overlap, and Impact Scenarios, Geospatial Data, Colorado Plateau, USA

description: These geospatial data characterize the potential for geographic overlap among areas likely to experience climate drying (aridification) and high intensity land-use with population growth, recreation tourism, agriculture, energy development, and mining on the Colorado Plateau. Spatial overlap between areas of high land-use intensity and aridification were used to create scenarios and corresponding consensus maps for areas with high potential to experience detrimental effects to ecosystem attributes (recreation economy, water availability, vegetation and wildlife habitat, and spiritual and cultural resources). This analytical framework for assessing the potential impacts of overlapping land-use and climate change could be applied with other drivers of change or to other regions to create scenarios at various spatial scales in support of natural resource planning efforts.
DOI: 10.5281/zenodo.4339189
title: Exploring the predictive value of lesion topology on motor function outcomes in a porcine ischemic stroke model

description: Dataset to accompany manuscript currently in review at Scientific Reports (12/17/2020)
DOI: 10.5281/zenodo.4339188
title: Exploring the predictive value of lesion topology on motor function outcomes in a porcine ischemic stroke model

description: Dataset to accompany manuscript currently in review at Scientific Reports (12/17/2020)
DOI: 10.5066/f7x06561
title: Onshore Industrial Wind Turbine Locations for the United States through July 2013

description: This data set provides industrial-scale onshore wind turbine locations in the United States through July 22, 2013, corresponding facility information, and turbine technical specifications. The database has more than 47,000 wind turbine records that have been collected, digitized, locationally verified, and internally quality controlled. Turbines from the Federal Aviation Administration Digital Obstacle File, through product release date July 22, 2013, were used as the primary source of turbine data points. Verification of the turbine positions was done by visual interpretation using high-resolution aerial imagery in ESRI ArcGIS Desktop. Turbines without Federal Aviation Administration Obstacle Repository System numbers were visually identified and point locations were added to the collection. We estimated a locational error of plus or minus 10 meters for turbine locations. Wind farm facility names were identified from publically available facility data sets. Facility names were then used in a web search of additional industry publications and press releases to attribute additional turbine information (such as manufacturer, model, and technical specifications of wind turbines). Wind farm facility location data from various wind and energy industry sources were used to search for and digitize turbines not in existing databases. Technical specifications for turbines were assigned based on the wind turbine make and model as described in literature, specifications listed in the Federal Aviation Administration Digital Obstacle File, and information on the turbine manufacturers website. Some facility and turbine information on make and model did not exist or was difficult to obtain. Thus, uncertainty may exist for certain turbine specifications. That uncertainty was rated and a confidence was recorded for both location and attribution data quality.
DOI: 10.5066/p9bh19bk
title: Fiber-optic distributed temperature sensing and near-surface geophysical data collected along the Santuit River, Mashpee, MA.

description: The Massachusetts Division of Fisheries and Wildlife has been studying brook trout populations in Cape Cod groundwater-fed river systems for decades. Recently, a notable reduction in trout population in the Santuit River sparked the concern of several groups, including the Wampanoag Tribe. Brook trout population dynamics may be tied to water quality and temperature changes, which are both impacted by spatially preferential groundwater discharge to the river. The streambed interface temperature and near-surface geophysical data compiled in this data release were collected in summer 2018 as part of a larger effort to characterize the spatial distribution of groundwater discharge zones, and exchanges with surface water, along Cape Cod stream systems. Fiber-optic distributed temperature sensing (FO-DTS) cables were deployed along the sediment/water interface to map high spatial resolution temperature variations along the streambed that are used to locate discharges. Geophysical data include towed ground penetrating radar (GPR) data to image near surface streambed structure, and hand-carried electromagnetic imaging (EMI) data to indicate changes in streambed water quality and/or near surface sediments. Therefore, this combined dataset represents point-in-time mapping of preferential groundwater discharge points (FO-DTS), and the bed structure that controls where these points are located (GPR, EMI).
DOI: 10.21258/1652605
title: Inventario forestale nazionale svizzero - Tabella n. 899385
DOI: 10.5066/f75t3hmv
title: Supporting data for A Glacier Runoff Extension to the Precipitation Runoff Modeling System

description: This product is an archive of the modeling artifacts used to produce a journal paper (Van Beusekom and Viger, 2016). The abstract for that paper follows. A module to simulate glacier runoff, PRMSglacier, was added to PRMS (Precipitation Runoff Modeling System), a distributed-parameter, physical-process hydrological simulation code. The extension does not require extensive on-glacier measurements or computational expense but still relies on physical principles over empirical relations as much as is feasible while maintaining model usability. PRMSglacier is validated on two basins in Alaska, Wolverine, and Gulkana Glacier basin, which have been studied since 1966 and have a substantial amount of data with which to test model performance over a long period of time covering a wide range of climatic and hydrologic conditions. When error in field measurements is considered, the Nash-Sutcliffe efficiencies of streamflow are 0.87 and 0.86, the absolute bias fractions of the winter mass balance simulations are 0.10 and 0.08, and the absolute bias fractions of the summer mass balances are 0.01 and 0.03, all computed over 42 years for the Wolverine and Gulkana Glacier basins, respectively. Without taking into account measurement error, the values are still within the range achieved by the more computationally expensive codes tested over shorter time periods.
DOI: 10.5066/p9pht0vz
title: Data Release for the 1996 National Seismic Hazard Model for the Conterminous U.S.

description: Seismicity catalogs, gridded seismic hazard curve data, gridded ground motion data, and mapped gridded ground motion values are available for the 1996 National Seismic Hazard Model for the Conterminous U.S. Seismicity catalogs are available for the western U.S. (in Mw) and central and eastern U.S. (in mb). Probabilistic seismic hazard data and maps of the conterminous U.S. for peak ground acceleration (PGA) and 0.1, 0.2, 0.3, 0.5, 1.0 and 2.0 second spectral acceleration at probability levels of 2 percent in 50 years (annual probability of 0.000404), 5 percent in 50 years (annual probability of 0.001026), and 10 percent in 50 years (annual probability of 0.0021), assuming firm rock soil conditions at 760 m/s, are available. Hazard was calculated on a 0.1 degree by 0.1 degree grid, defined by a bounding box encompassing the conterminous U.S. (-125 to -65 degrees longitude west, 24.6 to 50 degrees latitude north). Development of the 1996 National Seismic Hazard Model for the Conterminous U.S. is documented in the USGS Open-File Report 96-532 (https://pubs.usgs.gov/of/1996/532/). This dataset is considered a legacy dataset. The original dataset was uploaded to the USGS website at the time of publication of the seismic hazard model (1996) but was later moved over the the USGS ScienceBase Catalog (2019). The original dataset was assumed to be complete and accurate, but may contain inconsistencies when compared to more recent, actively maintained datasets.
DOI: 10.5066/p9drmv0u
title: Volcanic Gas Measurements at Mount Cleveland, Alaska 2016

description: On 25 July 2016, helicopter-based measurements were made of the volcanic gases emitted from Mount Cleveland, Alaska, USA. An upward-looking differential optical absorption spectroscopy (DOAS) system was used to measure incident scattered solar ultraviolet radiation while traversing beneath the plume on multiple occasions. These data were used to derive volcanic SO2 emission rates. Additionally, a Multicomponent Gas Analyzer System (Multi-GAS) was used to make measurements of trace gas concentrations while on a dedicated measurement flight passing through the volcanic plume. Radiance spectra and gas compositions were both recorded at 1 second time resolution. Each spectrum and gas measurement was stamped with the GPS time and location. Each spectrum was saved in a separate ASCII file which includes 2048 radiances measured in the 285 - 430 nm spectral region and metadata associated with each acquisition. The Multi-GAS measurements are saved in a spreadsheet in the *.csv format. In addition to the helicopter-based measurements, ultraviolet imagery of the volcanic plume emitting from Mount Cleveland was collected on 24 July between 18:00 and 19:30 UTC using a ground-based SO2 camera instrument located 3.4 km east of the volcano's summit. This imagery was used to quantify the absorption of light by SO2 in the volcano's plume, resulting in a time series of SO2 emission rates. For more information see the associated interpretive publication: Werner C., Rasmussen D.J., Plank T., Kelly P.J., Kern C., Lopez T., Gliss J., Power J., Roman D.C., Izbekov P., Lyons J. (2020). Linking subsurface to surface using gas emission and melt inclusion data at Mount Cleveland volcano, Alaska. Geochemistry, Geophysics, Geosystems. https://doi.org/10.1029/2019GC008882
DOI: 10.5066/p9fnwxky
title: Measurement of seepage at Newtown Creek, NY, May-June 2015

description: Rates of flow across the sediment-water interface (seepage), measured every 5 seconds with an automated seepage meter and summarized every minute with a digital datalogger, are presented for 17 measurement locations at Newtown Creek, NY. Final values are presented in cm/day. An electromagnetic seepage meter, custom made for USGS by Quantum Engineering, was capable of measuring seepage averaged each minute with an accuracy of +/- 0.5 cm/d. Deployments at each location lasted at least two tidal cycles. Three ESM systems were available but most of the time only two systems were operated simultaneously, requiring several weeks to obtain measurements at all 17 locations. Data are presented in an Excel workbook composed of 38 worksheets. The Intro and Explanations worksheets contain supporting data that describe the data and coordinates for the 17 measurement locations. The rest of the worksheets contain seepage data from the ESM, or tidal (stage) data from submerged pressure transducers installed either at the Turning Basin or at the Anchor QEA dock.
DOI: 10.5517/ccdc.csd.cc23nyc3
title: CCDC 1956545: Experimental Crystal Structure Determination

description: Related Article: Guo-Yong Huang, Hui Cui, Xin-Yi Lu, Lu-Di Zhang, Xiao-Ying Ding, Jin-Jun Wu, Li-Xin Duan, Shi-Jie Zhang, Zhongqiu Liu, Rong-Rong Zhang|2021|Phytochemistry|182|112597|doi:10.1016/j.phytochem.2020.112597
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DOI: 10.5517/ccdc.csd.cc25ppn7
title: CCDC 2016849: Experimental Crystal Structure Determination

description: Related Article: Sitthichok Kasemthaveechok, Laura Abella, Marion Jean, Marie Cordier, Thierry Roisnel, Nicolas Vanthuyne, Thierry Guizouarn, Olivier Cador, Jochen Autschbach, Jeanne Crassous, Ludovic Favereau|2020|J.Am.Chem.Soc.|142|20409|doi:10.1021/jacs.0c08948
DOI: 10.5517/ccdc.csd.cc25ppp8
title: CCDC 2016850: Experimental Crystal Structure Determination

description: Related Article: Sitthichok Kasemthaveechok, Laura Abella, Marion Jean, Marie Cordier, Thierry Roisnel, Nicolas Vanthuyne, Thierry Guizouarn, Olivier Cador, Jochen Autschbach, Jeanne Crassous, Ludovic Favereau|2020|J.Am.Chem.Soc.|142|20409|doi:10.1021/jacs.0c08948
DOI: 10.5517/ccdc.csd.cc25q053
title: CCDC 2017144: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc25rcq1
title: CCDC 2018463: Experimental Crystal Structure Determination

description: Related Article: Jinwon Jeon, Changseok Lee, Huiyeong Seo, Sungwoo Hong|2020|J.Am.Chem.Soc.|142|20470|doi:10.1021/jacs.0c10333
DOI: 10.5517/ccdc.csd.cc25zf5s
title: CCDC 2025235: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc25zf6t
title: CCDC 2025236: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc25zf7v
title: CCDC 2025237: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc25zfby
title: CCDC 2025240: Experimental Crystal Structure Determination

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