cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/f7m043kk
title: Public-Supply Water Use in the Cumberland River Watershed in 2010 and Projections of Public-Supply Water Use to 2040

description: Adequate water resources are vital for municipal needs in the Cumberland River watershed. As a result of continuing population growth, moderate to extreme droughts and floods, demands for competing water resources, and aging infrastructure, the evaluation of ongoing water-resources issues has become increasingly important to Federal, State, and local water-resources managers. In order to assist local decision makers in the watershed, the U.S. Geological Survey (USGS) began a study in 2013 to document groundwater and surface-water withdrawals. Estimates of water use for public supply were projected in 10-year increments through 2040 and were based on 2010 public supply water data and population projections for 2020 through 2040. The data for public supply water systems located in Tennessee were obtained from the Tennessee Department of Environment and Conservation, Division of Water Resources. The data for public-supply water systems located in Kentucky were obtained from the USGS office in Louisville, Kentucky. This dataset includes U.S. Census Population Data from the U.S. Census Bureau for 2000 and 2010; population projections from the Center for Business and Economic Research in Tennessee; and population projections from the Kentucky State Data Center for 2020, 2030, and 2040. Also included is a sample calculation of water-use projections in 2020, 2030, and 2040 for one of the public-supply systems in the Cumberland River watershed; Franklin Water Department - Franklin, Williamson County, Tennessee. Data in this release were used to support the projections and trends analysis published in the companion report Robinson (2017). Reference Robinson, J.A., 2017, Estimated use of water in the Cumberland River watershed in 2010 and projections of public-supply water use to 2040: U.S. Geological Survey Scientific Investigations Report 2017-xxxx, xx p., http://dx.doi.org/10.3133/sir2017XXXX.
DOI: 10.14469/hpc/2588
title: Cubyl cation_TS_1 (opt ts freq)

description: Gaussian Calculation
DOI: 10.18739/a2x10w
title: The economic and socialcultural effects of developing cyber-infrastructure for global information storage in Iceland, 2014
DOI: 10.5066/f7th8k5j
title: Seed biomass from shallow coastal water areas along a salinity gradient in Barataria Bay, Louisiana (2015)

description: This dataset provides bi-monthly data on seed biomass collected in shallow water habitats across the fresh to saline gradient at coastal sites in Barataria Bay, Louisiana.
DOI: 10.18739/a2s68d
title: SUMup Density, Accumulation, and Snow Depth on Sea Ice
DOI: 10.5066/f7bg2m50
title: Potentiometric contours for the Nacatoch aquifer of Northeastern and Southwestern Arkansas and the Tokio aquifer of Southwestern Arkansas, 201415

description: The Nacatoch Sand in northeastern and southwestern Arkansas and the Tokio Formation in southwestern Arkansas are sources of groundwater for agricultural, domestic, industrial, and public use. Water-level altitudes measured in 51 wells completed in the Nacatoch Sand and 42 wells completed in the Tokio Formation during 2014 and 2015 were used to compile potentiometric-surface maps of the two areas. Aquifers in the Nacatoch Sand and Tokio Formation are hereafter referred to as the Nacatoch aquifer and the Tokio aquifer, respectively. Potentiometric surfaces show that groundwater in the Nacatoch aquifer flows southeast toward the Mississippi River in northeastern Arkansas. Groundwater flow direction is towards the south and southeast in Hempstead, Little River, and Nevada Counties in southwestern Arkansas. A possible cone of depression may exist in southern Clark County and likely alters groundwater flow from a regional direction toward the depression. In southwestern Arkansas, potentiometric surfaces indicate that groundwater flow in the Tokio aquifer is towards the city of Hope. Northwest of the city of Hope, a cone of depression may exist. In southwestern Pike, northwestern Nevada, and northeastern Hempstead Counties, an area of artesian flow (water levels are at or above land surface) exists.
DOI: 10.5066/f7rn363z
title: Data from Earthquake-Induced Landslide Hazards for a M7.0 Scenario Earthquake on the Hayward Fault

description: These maps show the potential of widespread slope failures, in terms of landslide probabilities and displacement, triggered by a M7.0 scenario earthquake on the Hayward Fault in the 10-county area surrounding the San Francisco Bay region, California. The likelihood of landsliding was evaluated using an equation developed by Jibson and others (2000) that estimates landslide probability as a function of predicted Newmark displacement. Based on this equation, four landslide probability categories are established with their corresponding percent likelihood and displacement ranges: Low (0-2%; 0-1 cm), Moderate (2-15%; 1-5 cm), High (15-32%; 5-15 cm), and Very High (&gt;32%; &gt;15 cm).The seismic-landslide probability map covers the counties of Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Santa Cruz, Solano, and Sonoma. The slope failures are triggered by a hypothetical earthquake with a moment magnitude of 7.0 occurring on April 18, 2018, at 4:18 p.m. on the Hayward Fault in the east bay part of Californias San Francisco Bay region.
DOI: 10.14469/hpc/2592
title: IRC_Cubylcation_1 (IRC)

description: Gaussian Calculation
DOI: 10.21227/3p9q-f569
title: Integrated horn antenna design through MGWO

description: The data used in our manuscript "All-Integrated 3D-Printed Horn Antenna and Orthomode Transducer Designed through Modified Grey Wolf Optimizer".
DOI: 10.15787/vtt1/orgk0v
title: Evaluate Impact of Sleep Habit on Driving Fatigue and Safety Risk using SHRP 2 Naturalistic Driving Study

description: Project Description This dataset was used in a study is to evaluate the effects of sleeping habit on driving fatigue and safety risk. The study tested the hypothesis that driver’s sleeping habits influence fatigue and overall driving risk. The analysis used the sleep habit questionnaire collected at baseline, linking it to the prevalence of fatigue observed on baselines and fatigue-related crash and near-crash rate. Data Request Scope The dataset included variables from several driver questionnaires, vehicle information, event detail table entries (for crashes, near-crashes, and baselines), and the trip summary table. Data for all drivers in the study with a valid age group assignment were included. Data Specification A full list of variables included in the dataset are provided in the data dictionary file. Additional information about the questionnaires, vehicle information, event detail and trip summary data can be found in the "Background" section of the InSight website
DOI: 10.15787/vtt1/qbl03m
title: Assessment of Variation in Driving Distraction Risk by Age, Gender, and Driving Area using SHRP 2 Naturalistic Driving Study

description: Project Description This dataset supported a study to assess driver distraction as a contributing factor for traffic crashes. The study evaluated the variation in driving distraction prevalence and its impacts on driving risk by demographic characteristics, e.g., age and gender, as well as the data collection area. Data Request Scope The data include information from the trip summary table, post-crash interviews, vehicle information table, participant questionnaires, and event detail table. All crashes, near-crashes, and baselines available on V1 of InSight are included. All trips on V1 of InSight are included. All participants and vehicles on V1 of InSight are included. Data Specification Please refer to the data dictionary file for details on the variables included in the dataset. Additional information about the trip summary, post-crash interviews, vehicle information, participant questionnaires and event detail data can be found in the "Background" section of the InSight website
DOI: 10.17171/1-8-3601-1
title: Figure 1 for ICG 1

description: Inscriptiones Christianae Graecae
DOI: 10.17171/1-8-3602-1
title: Figure 1 for ICG 4

description: Inscriptiones Christianae Graecae
DOI: 10.17171/1-8-3603-1
title: Figure 1 for ICG 5

description: Inscriptiones Christianae Graecae
DOI: 10.17171/1-8-3604-1
title: Figure 1 for ICG 9

description: Inscriptiones Christianae Graecae
DOI: 10.17171/1-8-3605-1
title: Figure 1 for ICG 10

description: Inscriptiones Christianae Graecae
DOI: 10.17171/1-8-3606-1
title: Figure 2 for ICG 13

description: Inscriptiones Christianae Graecae
DOI: 10.17171/1-8-3606-2
title: Figure 1 for ICG 13

description: Inscriptiones Christianae Graecae
DOI: 10.17171/1-8-3607-1
title: Figure 1 for ICG 14

description: Inscriptiones Christianae Graecae
DOI: 10.17171/1-8-3608-1
title: Figure 2 for ICG 15

description: Inscriptiones Christianae Graecae
DOI: 10.17171/1-8-3608-2
title: Figure 1 for ICG 15

description: Inscriptiones Christianae Graecae
DOI: 10.17171/1-8-3609-1
title: Figure 2 for ICG 16

description: Inscriptiones Christianae Graecae
DOI: 10.17171/1-8-3609-2
title: Figure 3 for ICG 16

description: Inscriptiones Christianae Graecae
DOI: 10.17171/1-8-3609-3
title: Figure 1 for ICG 16

description: Inscriptiones Christianae Graecae
DOI: 10.5066/f77d2sc4
title: Methane and benzene in drinking-water wells overlying the Eagle Ford, Fayetteville, and Haynesville Shale hydrocarbon production areas

description: Groundwater samples were collected from domestic and public-supply wells in the Eagle Ford study area in 201516, in the Fayetteville study area in 2015, and in the Haynesville study area in 201415. One sample of produced water was collected from a gas well in the Haynesville Shale in Rusk County, Texas in 2010, and 5 samples of produced water were collected from oil and condensate wells in the Eagle Ford Shale in Gonzales and Lavaca Counties, Texas in 2015. Groundwater samples were analyzed for major ions, nutrients, and trace elements; methane, methane H and C isotopic compositions, and C1-C5 gas composition; H and O isotopic composition of water; noble gas concentrations and isotopic compositions; tritium, sulfur hexafluoride (SF6), and carbon-14 in dissolved inorganic carbon (DIC), and δ13C-DIC; and volatile organic compounds (VOCs). Water from hydrocarbon wells was analyzed for a subset of these constituents.
DOI: 10.17171/1-8-3610-1
title: Figure 1 for ICG 17

description: Inscriptiones Christianae Graecae
DOI: 10.17171/1-8-3612-1
title: Figure 1 for ICG 19

description: Inscriptiones Christianae Graecae
DOI: 10.17171/1-8-3613-1
title: Figure 1 for ICG 20

description: Inscriptiones Christianae Graecae
DOI: 10.17171/1-8-3613-2
title: Figure 2 for ICG 20

description: Inscriptiones Christianae Graecae
DOI: 10.17171/1-8-3615-1
title: Figure 1 for ICG 22

description: Inscriptiones Christianae Graecae
DOI: 10.17171/1-8-3616-1
title: Figure 2 for ICG 23

description: Inscriptiones Christianae Graecae
DOI: 10.17171/1-8-3616-2
title: Figure 1 for ICG 23

description: Inscriptiones Christianae Graecae
DOI: 10.17171/1-8-3617-1
title: Figure 1 for ICG 24

description: Inscriptiones Christianae Graecae
DOI: 10.17171/1-8-3618-1
title: Figure 1 for ICG 25

description: Inscriptiones Christianae Graecae
DOI: 10.17171/1-8-3619-1
title: Figure 1 for ICG 26

description: Inscriptiones Christianae Graecae
DOI: 10.17171/1-8-3620-1
title: Figure 1 for ICG 27

description: Inscriptiones Christianae Graecae
DOI: 10.17171/1-8-3621-1
title: Figure 1 for ICG 28

description: Inscriptiones Christianae Graecae
DOI: 10.17171/1-8-3625-1
title: Figure 1 for ICG 32

description: Inscriptiones Christianae Graecae
DOI: 10.17171/1-8-3626-2
title: Figure 2 for ICG 36

description: Inscriptiones Christianae Graecae
DOI: 10.17171/1-8-3632-1
title: Figure 1 for ICG 49

description: Inscriptiones Christianae Graecae
DOI: 10.17171/1-8-3633-3
title: Figure 3 for ICG 50

description: Inscriptiones Christianae Graecae
DOI: 10.17171/1-8-3611-1
title: Figure 1 for ICG 18

description: Inscriptiones Christianae Graecae
DOI: 10.15156/bio/sh3319167.08fu
title: SH3319167.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3319168.08fu
title: SH3319168.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3319169.08fu
title: SH3319169.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3319170.08fu
title: SH3319170.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3319171.08fu
title: SH3319171.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3319172.08fu
title: SH3319172.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3319173.08fu
title: SH3319173.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3319174.08fu
title: SH3319174.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3319175.08fu
title: SH3319175.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3319176.08fu
title: SH3319176.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.