cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57902/d7nc76
title: High Resolution LiDAR Point Cloud of Bridge and Roadway Infrastructure in Arctic Winter Conditions along the Dalton Highway (81 km road from Finger Mountain), Alaska, 2024

description: Remote sensing makes it possible to gather data rapidly, accurately, and non-destructively, allowing for access to remote areas in near real-time. LiDAR sensor data were collected along Alaska's Dalton Highway as part of continued efforts to provide more geospatial data in Arctic regions relevant to cold region research. The Dalton Highway, also referred to as Alaska Route 11, is a remote and vital transportation corridor extending approximately 414 miles from Livengood to Deadhorse near the Arctic Ocean. The highway plays a critical role in facilitating access to the Prudhoe Bay Oil Fields and is a key logistical route for energy development in the region. Finger Mountain, located along the Dalton Highway in central Alaska, is a distinctive geological formation characterized by a prominent rock outcrop that resembles an uplifted finger. The region is notable for its permafrost, unique alpine vegetation, and wildlife, making it of interest to geologists and ecologists. The survey was conducted in August 2024; the corresponding point cloud data shows evidence of road degradation as well as other features of the environment.
DOI: 10.57902/d7hp4x
title: LiDAR Point Cloud Dataset for AI-Driven Analysis of a Long Road Segment Along the Dalton Highway (Rouche Moutonee Creek - Toolik Lake), Alaska, August 2024

description: Remote sensing makes it possible to gather data rapidly, accurately, and non-destructively, allowing for access to remote areas in near real-time. LiDAR sensor data were collected along Alaska's Dalton Highway as part of continued efforts to provide more geospatial data in Arctic regions relevant to cold region research. The Dalton Highway, also referred to as Alaska Route 11, is a remote and vital transportation corridor extending approximately 414 miles from Livengood to Deadhorse near the Arctic Ocean. The highway plays a critical role in facilitating access to the Prudhoe Bay Oil Fields and is a key logistical route for energy development in the region. The survey was conducted in August 2024; the corresponding point cloud data shows the road conditions, offering valuable information for terrain analysis and landscape monitoring.
DOI: 10.22002/4tc9k-zj863
title: .tnt files associated with T2 measurements for helium-3 spin dressing

description: These are the data files for NMR measurements to determine the transverse relaxation of helium-3 with spin dressing.
DOI: 10.57902/d7d01z
title: High-Resolution LiDAR Dataset for Machine Learning-Based Analysis of Arctic Road and Bridge Structures Along the Dalton Highway (Jim River III), Alaska, August 2024

description: Remote sensing makes it possible to gather data rapidly, accurately, and non-destructively, allowing for access to remote areas in near real-time. LiDAR sensor data were collected along Alaska's Dalton Highway as part of continued efforts to provide more geospatial data in Arctic regions relevant to cold region research. The Dalton Highway, also referred to as Alaska Route 11, is a remote and vital transportation corridor extending approximately 414 miles from Livengood to Deadhorse near the Arctic Ocean. The highway plays a critical role in facilitating access to the Prudhoe Bay Oil Fields and is a key logistical route for energy development in the region. The survey was conducted in August 2024; the corresponding point cloud data shows evidence of road degradation, the bridge, as well as other features of the environment. This dataset offers valuable information for permafrost analysis, machine learning, terrain analysis, and landscape monitoring.
DOI: 10.57902/d7859g
title: LiDAR Point Cloud Dataset for Machine Learning Applications in Road and Bridge Assessment: Arctic Geospatial data from Dalton Highway (Prospect Creek), Alaska, 2024.

description: Remote sensing makes it possible to gather data rapidly, accurately, and non-destructively, allowing for access to remote areas in near real-time. LiDAR sensor data were collected along Alaska's Dalton Highway as part of continued efforts to provide more geospatial data in Arctic regions relevant to cold region research. The Dalton Highway, also referred to as Alaska Route 11, is a remote and vital transportation corridor extending approximately 414 miles from Livengood to Deadhorse near the Arctic Ocean. The highway plays a critical role in facilitating access to the Prudhoe Bay Oil Fields and is a key logistical route for energy development in the region. The corresponding point cloud data shows the road conditions leading up to the Prospect Creek bridge and some distance after the bridge, offering valuable information for machine learning application, terrain analysis, and landscape monitoring.
DOI: 10.57902/d74g66
title: Point Cloud Data for Arctic Highway and Bridge Freeze-Thaw Cycle Damage Assessment: High-Resolution LiDAR Data from the Dalton Highway (South Fork Bonanza - North Fork Bonanza), AK.

description: Remote sensing makes it possible to gather data rapidly, accurately, and non-destructively, allowing for access to remote areas in near real-time. LiDAR sensor data were collected along Alaska's Dalton Highway as part of continued efforts to provide more geospatial data in Arctic regions relevant to cold region research. The Dalton Highway, also referred to as Alaska Route 11, is a remote and vital transportation corridor extending approximately 414 miles from Livengood to Deadhorse near the Arctic Ocean. The highway plays a critical role in facilitating access to the Prudhoe Bay Oil Fields and is a key logistical route for energy development in the region. Two bridges were represented in this dataset, one across the South Fork Bonanza Creek and the other across the North Fork Bonanza Creek. The South and North bridges are located 9 mi and 10 mi, respectively, from the famous Arctic Circle Sign. The survey was conducted in August 2024; the corresponding point cloud data shows evidence of road degradation, the bridges, as well as other features of the environment. This dataset offers valuable information for permafrost analysis, machine learning, terrain analysis, and landscape monitoring.
DOI: 10.57902/d70p48
title: Point Cloud Dataset for Automated Road and Bridge Damage Detection: LiDAR Data along the Dalton Highway (Fish Creek), Alaska, August 2024

description: Remote sensing makes it possible to gather data rapidly, accurately, and non-destructively, allowing for access to remote areas in near real-time. LiDAR sensor data were collected along Alaska's Dalton Highway as part of continued efforts to provide more geospatial data in Arctic regions relevant to cold region research. The Dalton Highway, also referred to as Alaska Route 11, is a remote and vital transportation corridor extending approximately 414 miles from Livengood to Deadhorse near the Arctic Ocean. The highway plays a critical role in facilitating access to the Prudhoe Bay Oil Fields and is a key logistical route for energy development in the region. The corresponding point cloud data shows the road conditions leading up to the Fish Creek bridge and some distance after the bridge, offering valuable information for machine learning, terrain analysis, and landscape monitoring. The bridge is some 2.1 km away from the start of the road data.
DOI: 10.57902/d7w019
title: Geospatially Detailed Point Cloud Dataset of a Road and Bridge System over Marion Creek, Dalton Highway, Alaska, for AI and Predictive Analytics Applications, August 2024.

description: Remote sensing makes it possible to gather data rapidly, accurately, and non-destructively, allowing for access to remote areas in near real-time. LiDAR sensor data were collected along Alaska's Dalton Highway as part of continued efforts to provide more geospatial data in Arctic regions relevant to cold region research. The Dalton Highway, also referred to as Alaska Route 11, is a remote and vital transportation corridor extending approximately 414 miles from Livengood to Deadhorse near the Arctic Ocean. The highway plays a critical role in facilitating access to the Prudhoe Bay Oil Fields and is a key logistical route for energy development in the region. Marion Creek (180 miles from Livengood), located near Coldfoot, Alaska, is a small waterway flowing through the scenic Brooks Range. It is known for its pristine natural environment and serves as a gateway for recreational activities, including hiking and camping, within the surrounding wilderness. The creek contributes to the area's rich biodiversity and is valued for its ecological significance. The survey was conducted in August 2024; the corresponding point cloud data shows evidence of road degradation, the bridge, as well as other features of the environment. The bridge can be located 0.9 km from the start point of the dataset
DOI: 10.57902/d7r59t
title: Predictive Analytics of Arctic Road Conditions: a 68 km LiDAR Dataset/Digital Terrain Map of the Dalton Highway, Alaska (Grayling Lake Wayside - Wiseman), August 2024.

description: Remote sensing makes it possible to gather data rapidly, accurately, and non-destructively, allowing for access to remote areas in near real-time. LiDAR sensor data were collected along Alaska's Dalton Highway as part of continued efforts to provide more geospatial data in Arctic regions relevant to cold region research. The Dalton Highway, also referred to as Alaska Route 11, is a remote and vital transportation corridor extending approximately 414 miles from Livengood to Deadhorse near the Arctic Ocean. The highway plays a critical role in facilitating access to the Prudhoe Bay Oil Fields and is a key logistical route for energy development in the region. The corresponding point cloud data shows the road conditions, offering valuable information for terrain analysis and landscape monitoring.
DOI: 10.57902/d7mg6j
title: 3D Point Cloud Data for AI/ML analytics of Alaskan Road and Bridge Infrastructure: LiDAR Data along the Dalton Highway(South Fork Koyukuk), AK, August 2024.

description: Remote sensing makes it possible to gather data rapidly, accurately, and non-destructively, allowing for access to remote areas in near real-time. LiDAR sensor data were collected along Alaska's Dalton Highway as part of continued efforts to provide more geospatial data in Arctic regions relevant to cold region research. The Dalton Highway, also referred to as Alaska Route 11, is a remote and vital transportation corridor extending approximately 414 miles from Livengood to Deadhorse near the Arctic Ocean. The highway plays a critical role in facilitating access to the Prudhoe Bay Oil Fields and is a key logistical route for energy development in the region. The corresponding point cloud data shows the road conditions of the South Fork Koyukuk bridge, as well as before and after the bridge, offering valuable information for terrain analysis and landscape monitoring. The bridge can be seen 0.7 km from the start of the road data.
DOI: 10.15468/dl.5hq25q
title: Occurrence Download

description: A dataset containing 11187928 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Insecta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((0 52.5,7.5 52.5,7.5 60,0 60,0 52.5))"
 ]
}

 The dataset includes 11187928 records from 272 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039988-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57902/d7gp4m
title: High-Resolution LiDAR Point Clouds for Arctic Road Infrastructure Analytics Leveraging Machine Learning: Geospatial Data from the Dalton Highway, Alaska, (Yukon River Camp - Finger Mountain) August 2024

description: Remote sensing makes it possible to gather data rapidly, accurately, and non-destructively, allowing for access to remote areas in near real-time. LiDAR sensor data were collected along Alaska's Dalton Highway as part of continued efforts to provide more geospatial data in Arctic regions relevant to cold region research. The Dalton Highway, also referred to as Alaska Route 11, is a remote and vital transportation corridor extending approximately 414 miles from Livengood to Deadhorse near the Arctic Ocean. The highway plays a critical role in facilitating access to the Prudhoe Bay Oil Fields and is a key logistical route for energy development in the region. The corresponding point cloud data shows the road conditions, offering valuable information for terrain analysis and landscape monitoring.
DOI: 10.3535/6v9-eyc-18v
title: Chloia bleekerae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.n4x7dm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amphibia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-60 -52.5,-52.5 -52.5,-52.5 -45,-60 -45,-60 -52.5))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040040-251009101135966/datasets/export for details.
DOI: 10.57902/d7c01n
title: High-Resolution LiDAR Point Clouds for Arctic Transportation Infrastructure Analysis: Geospatial Data from the Dalton Highway, Alaska, August 2024-Prudhoe Bay

description: Remote sensing makes it possible to gather data rapidly, accurately, and non-destructively, allowing for access to remote areas in near real-time. LiDAR sensor data were collected along Alaska's Dalton Highway as part of continued efforts to provide more geospatial data in Arctic regions relevant to cold region research. The Dalton Highway, also referred to as Alaska Route 11, is a remote and vital transportation corridor extending approximately 414 miles from Livengood to Deadhorse near the Arctic Ocean. The highway plays a critical role in facilitating access to the Prudhoe Bay Oil Fields and is a key logistical route for energy development in the region. 
 Prudhoe Bay, located on the northern coast of Alaska along the Arctic Ocean, is a prominent area known primarily for its role in oil production. The area is characterized by its harsh Arctic climate, permafrost, and ecological sensitivity, which has made it a focal point in discussions around environmental impact and energy policy. The survey was conducted in August 2024; the corresponding point cloud data shows evidence of road degradation as well as other features of the environment.
DOI: 10.15468/dl.hh7c88
title: Occurrence Download

description: A dataset containing 2239 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is August",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2025"
 ]
}

 The dataset includes 2239 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040038-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57902/d77595
title: Arctic Geospatial Data for Cold Region Transportation Infrastructure Analysis: High-Resolution LiDAR Point Clouds along the Steese Highway, Alaska, January 2024-Site_3

description: Remote sensing makes it possible to gather data rapidly, accurately, and non-destructively, allowing for access to remote areas in near real-time. LiDAR sensor data were collected on previous test sites that were tested during the summer 2023 field study exercise on Alaska's Steese Highway, as part of continued efforts to provide more geospatial data in Arctic regions relevant to cold region research. The Steese Highway is a major highway connecting the city of Fairbanks, Alaska, to the small town of Circle, Alaska, near the Yukon River. The Steese Highway spans approximately 261 kilometers and is the only means of transportation for goods and supplies to the remote towns of both Central and Circle Alaska. The survey was conducted in January 2024 as a companion comparative dataset to the summer 2023 LiDAR dataset. The corresponding point cloud data shows evidence of road degradation and snow accumulation
DOI: 10.57902/d73g6w
title: Arctic Geospatial Data for Cold Region Transportation Infrastructure Analysis: High-Resolution LiDAR Point Clouds along the Steese Highway, Alaska, January 2024-Site_4

description: Remote sensing makes it possible to gather data rapidly, accurately, and non-destructively, allowing for access to remote areas in near real-time. LiDAR sensor data were collected on previous test sites that were tested during the summer 2023 field study exercise on Alaska's Steese Highway, as part of continued efforts to provide more geospatial data in Arctic regions relevant to cold region research. The Steese Highway is a major highway connecting the city of Fairbanks, Alaska, to the small town of Circle, Alaska, near the Yukon River. The Steese Highway spans approximately 261 kilometers and is the only means of transportation for goods and supplies to the remote towns of both Central and Circle Alaska. The survey was conducted in January 2024 as a companion comparative dataset to the summer 2023 LiDAR dataset. The corresponding point cloud data shows evidence of road degradation and snow accumulation
DOI: 10.15468/dl.w5vxh8
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Caledonia",
 "TaxonKey is Correlophus ciliatus"
 ]
}

 The dataset includes 91 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040043-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57902/d7zp4z
title: Arctic Geospatial Data for Cold Region Transportation Infrastructure Analysis: High-Resolution LiDAR Point Clouds along the Steese Highway, Alaska, January 2024-Site_5

description: Remote sensing makes it possible to gather data rapidly, accurately, and non-destructively, allowing for access to remote areas in near real-time. LiDAR sensor data were collected on previous test sites that were tested during the summer 2023 field study exercise on Alaska's Steese Highway, as part of continued efforts to provide more geospatial data in Arctic regions relevant to cold region research. The Steese Highway is a major highway connecting the city of Fairbanks, Alaska, to the small town of Circle, Alaska, near the Yukon River. The Steese Highway spans approximately 261 kilometers and is the only means of transportation for goods and supplies to the remote towns of both Central and Circle Alaska. The survey was conducted in January 2024 as a companion comparative dataset to the summer 2023 LiDAR dataset. The corresponding point cloud data shows evidence of road degradation and snow accumulation.
DOI: 10.15468/dl.m8ad25
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Insecta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-82.5 -52.5,-75 -52.5,-75 -45,-82.5 -45,-82.5 -52.5))"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040046-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dsd3mz
title: Occurrence Download

description: A dataset containing 5044 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Insecta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-75 -52.5,-67.5 -52.5,-67.5 -45,-75 -45,-75 -52.5))"
 ]
}

 The dataset includes 5044 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040042-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sh3d3h
title: Occurrence Download

description: A dataset containing 2723782 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Actitis hypoleucos)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2723782 records from 2135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039914-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p79zy4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((146.483031 -36.315102, 146.487522 -36.315102, 146.487522 -36.312856, 146.483031 -36.312856, 146.483031 -36.315102)), ((146.483031 -36.315102, 146.478539 -36.315102, 146.478539 -36.317348, 146.483031 -36.317348, 146.483031 -36.315102)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049351-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26496760
title: Liverpool Pilot DS 4-5 Return

description: DS Dimensions Research Integrity Data return. Liverpool DataThis is the DS return of the Liverpool dataset analysed as part of United Kingdom Reproducibility Network (UKRN) Research Indicators Project, pilot 4 - the prevalence and quality of data availability statements.Noted - Null records logged with support (may need a refresh)False Negatives logged with support - explanations provided and should be amended with an updated training model.
DOI: 10.6084/m9.figshare.26496760.v1
title: Liverpool Pilot DS 4-5 Return

description: DS Dimensions Research Integrity Data return. Liverpool DataThis is the DS return of the Liverpool dataset analysed as part of United Kingdom Reproducibility Network (UKRN) Research Indicators Project, pilot 4 - the prevalence and quality of data availability statements.Noted - Null records logged with support (may need a refresh)False Negatives logged with support - explanations provided and should be amended with an updated training model.
DOI: 10.5281/zenodo.13221182
title: Human bacterial microbiota and virome composition from patients and healthy donors assessed in fecal samples before and after antibiotic treatmenr, FMFT and FMT from 16S amplicon sequencing and shotgun metagenomic sequences mapped to human gut virome refence database
DOI: 10.5281/zenodo.13224573
title: Human bacterial microbiota and virome composition from patients and healthy donors assessed in fecal samples before and after antibiotic treatmenr, FMFT and FMT from 16S amplicon sequencing and shotgun metagenomic sequences mapped to human gut virome refence database