cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15485/1887571
title: Vegetation Warming Experiment: Landscape-scale digital camera imagery for vegetation phenology, Utqiagvik (Barrow), Alaska, 2017

description: Images captured using a StarDot NetCam SC phenocamera looking east from the top of the Barrow Environmental Observatory (BEO) Sled Shed, Barrow (now Utqiagvik), Alaska. The camera was installed to remotely monitor plant phenology and operation of the BNL TEST group's ZPW (Zero Power Warming) chambers during the growing season of 2017. Images were captured from early spring (24 April) through to late fall (15 November). Snowmelt, vegetation growth and senescence, and snow accumulation were captured. Images were uploaded to the BNL FTP server every 10 minutes. jpg images have been compressed in *.tar.gz format (12.1 GB) and additional information in *.pdf and *.txt files.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.15485/2563565
title: Metagenome-assembled genomes from Wind River Basin floodplain sediments Riverton, Wyoming site (August 2015)

description: Microorganisms play a key role in cycling nutrients and contaminants in the terrestrial environment depending on their genetic potential. Here we present metagenome-assembled genomes (MAGs) for the bacterial and archaeal community in floodplain sediment samples taken August 29, 2015 at a location (KB1) close to DOE Legacy Management well 855 at the Riverton, Wyoming floodplain site in the Wind River Basin (WRB). The groundwater at this site exhibits persistent U, Mo, and sulfate plumes and is one of the field sites in focus for the SLAC Groundwater Quality SFA program. Sediment samples from a deep soil pit were collected from 0 to 234 cm depth below surface at discrete depths every ~10-20 cm for microbial analyses. 13 metagenomes were sequenced through JGI and can be found under Gold sequencing project: Gs0131241. Metagenomes were assembled, binned, and refined using metawrap to generate MAGs (>50% complete and < 10% contamination based on checkM scores).This dataset includes a zip file of 2216 MAG fasta files and a csv file with quality, taxonomic classification (GTDB RS220), and metagenome accessions for MAGs. This dataset also includes a file-level metadata (flmd.csv) file that lists each file contained in the dataset with associated metadata and a data dictionary (dd.csv) file that contains column/row headers used throughout the files along with a definition, units, and data type
DOI: 10.15468/dl.p6egje
title: Occurrence Download

description: A dataset containing 437 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paradoxornis guttaticollis",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 437 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043004-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.brrxba
title: Occurrence Download

description: A dataset containing 2972 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ambystoma velasci"
 ]
}

 The dataset includes 2972 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043005-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15485/2563574
title: Metagenome-assembled genomes from Wind River Basin floodplain sediments Riverton, Wyoming site (May to September 2017)

description: Microorganisms play a key role in cycling nutrients and contaminants in the terrestrial environment depending on their genetic potential. Here we present metagenome-assembled genomes (MAGs) for the bacterial and archaeal community in floodplain sediment samples taken roughly every month in the period May 18 to September 13 in 2017 at a location (Pit2) close to DOE Legacy Management well 855 at the Riverton, Wyoming floodplain site in the Wind River Basin (WRB). The groundwater at this site exhibits persistent U, Mo, and sulfate plumes and is one of the field sites in focus for the SLAC Groundwater Quality SFA program. Cores were taken with a hand-auger and separated into 5-20 cm segments based on soil horizonation down to 150 cm depth below surface. Each segment was subsampled for microbial analyses. Corresponding 16S rRNA gene amplicon data is available at the NCBI Single Read Archive (SRA) Database BioProject ID PRJNA626616, and soil geochemistry data at doi:10.15485/1631972. 40 metagenomes were sequenced through JGI and can be found under Gold sequencing project: Gs0142591. Metagenomes were assembled, binned, and refined using metawrap to generate MAGs (>50% complete and < 10% contamination based on checkM scores). This dataset includes a zip file of 6993 MAG fasta files and a csv file with quality, taxonomic classification (GTDB RS220), and metagenome accessions for MAGs generated from the Wind River Basin (WRB). This dataset also includes a file-level metadata (flmd.csv) file that lists each file contained in the dataset with associated metadata and a data dictionary (dd.csv) file that contains column/row headers used throughout the files along with a definition, units, and data type.
DOI: 10.15485/1886044
title: Vegetation Warming Experiment: Chamber and ambient plot digital camera imagery for vegetation phenology, Utqiagvik (Barrow), Alaska, 2018

description: Time lapse photography of experimental plots within five warming chambers (ZPWs) and paired control plots located on the Barrow Environmental Observatory (BEO), Utqiagvik, Alaska. Images were recorded from 17 June to 24 September, 2018 to capture vegetation dynamics during the growing season. Vegetation phenology, including green up and senescence were captured. Images are *.jpg files recorded daily at 30 minute intervals, from 11:00 - 14:30 Alaska daylight time (AKDT, UTC-8), using Wingscapes TimelapseCam cameras. The target species was Arctagrostis latifolia. Additional information in *.pdf and *.csv files.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.15485/2563566
title: Metagenome-assembled genomes from Wind River Basin floodplain sediments Riverton, Wyoming site (June to October 2019)

description: Microorganisms play a key role in cycling nutrients and contaminants in the terrestrial environment depending on their genetic potential. Here we present metagenome-assembled genomes (MAGs) for the bacterial and archaeal community in floodplain sediment samples taken at three time points from June 12, 2019 to October 23,2019 at a location (PTT1) close to DOE Legacy Management well 855 at the Riverton, Wyoming floodplain site in the Wind River Basin (WRB). The groundwater at this site exhibits persistent U, Mo, and sulfate plumes and is one of the field sites in focus for the SLAC Groundwater Quality SFA program.  Sediment samples were collected from 60 to 180 cm below surface every 30cm for microbial analyses through metagenomic sequencing. 15 metagenomes were sequenced through JGI and can be found under Gold sequencing project: Gs0131241. Metagenomes were assembled, binned, and refined using metawrap to generate MAGs (>50% complete and < 10% contamination based on checkM scores). This dataset includes a zip file of 780 MAG fasta files and a csv file with quality, taxonomic classification (GTDB RS220), and metagenome accessions for MAGs. This dataset also includes a file-level metadata (flmd.csv) file that lists each file contained in the dataset with associated metadata and a data dictionary (dd.csv) file that contains column/row headers used throughout the files along with a definition, units, and data type. A sample metadata file (samples.csv) that contains site information has also been included.
DOI: 10.14469/hpc/15513
title: N2O2H4+PT G= -262.214727 ( -259.796140 + 2H2= -262.152506, DG = -39.04; N2O4H2 + H2 =-262.228852, 2nd step +8.86 overall DG = -39.04

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15514
title: N2H4 G = -111.858789 (N2 + 2H2 =-111.902052, overall DG = +27.15; N2H2 +H2 = -111.825138, 2nd step DG -21.12; +48.26 - 21.12= +27.15

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15517
title: N2, Def2-QZVPP, G = -109.551571

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15518
title: NH3*2 = -56.556154*2 -113.112308 (N2 + 3H2 = -113.080235) DG TZVPP DG = -20.1

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15519
title: NH3*2 = -56.560409*2 -113.120818 (N2 + 3H2 = -113.088109) DG QZVPP DF = -20.5

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15520
title: H2, Def2-QZVPP, G = -1.178846 3H2 = -3.536538, H = -1.164055, 3H2, H = -3.492165

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15521
title: N2H2, Def-QZVPP, G =-110.653563 (N2 + H2 = -110.730417 ) First step DG = +48.23

description: Gaussian 16 (C01) calculation
DOI: 10.6084/m9.figshare.28835870
title: Supplementary Movies

description: Supplementary Movies for manuscript
DOI: 10.6084/m9.figshare.28835870.v2
title: Supplementary Movies

description: Supplementary Movies for manuscript
DOI: 10.6084/m9.figshare.28835870.v1
title: Supplementary Videos

description: Supplementary Videos for manuscript
DOI: 10.15468/dl.trwshx
title: Occurrence Download

description: A dataset containing 2609 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kenya",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Dinosauropodes, Panthera leo)"
 ]
}

 The dataset includes 2609 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043006-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tcv8nf
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hypseleotris kimberleyensis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043007-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dybqfz
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paradoxornis aemodius",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 39 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043008-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8sausw
title: Occurrence Download

description: A dataset containing 176 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erodium cicutarium",
 "Country is Belarus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 176 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043011-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jq3339
title: Occurrence Download

description: A dataset containing 6963 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erodium cicutarium",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6963 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043010-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zfv36g
title: Occurrence Download

description: A dataset containing 418 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erodium cicutarium",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 418 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043009-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5885/45645ce-a24d883a6676492e
title: Relative abundance of tundra bird and mammal species encountered daily on Bylot Island, Nunavut, Canada
title: Abondance relative des espèces d’oiseaux et de mammifères de la toundra rencontrées de façon journalière à l’Île Bylot, Nunavut, Canada

description: Many vertebrate species in tundra communities occur in low abundance but may play an important role in terrestrial food webs. Although estimates of their absolute abundance may not be possible to obtain because of logistic constraints, our understanding of trophic interactions can be enhanced by assessing their relative abundance. This archive contains the relative abundance of species recorded on Bylot Island defined as the number of individuals seen per hour spent in the field per observer. Each observer records daily the animal species encountered in the field and the number of individuals observed. To correct for any potential biases the activities and mode of transportation of observers is also recorded.
description: De nombreuses espèces de vertébrés des communautés de la toundra sont présentes en faible abondance mais peuvent jouer un rôle important dans la chaine alimentaire. Bien qu'il soit impossible d'obtenir des estimations de leur abondance absolue en raison de contraintes logistiques, notre compréhension des interactions trophiques peut être améliorée en obtenant une estimation de leur abondance relative. Cette archive contient l'abondance relative des espèces observées sur l'Île Bylot définie comme le nombre d'individus vus par heure passée sur le terrain par observateur. Chaque observateur enregistre quotidiennement les espèces animales rencontrées sur le terrain et le nombre d'individus observés. Pour corriger tout biais potentiel, les activités et le mode de transport des observateurs sont également enregistrés.
DOI: 10.5885/45648ce-1a9ab63dff91440b
title: Dynamics of ice cover over a far northern lake : Direct observations of Ward Hunt Lake, Canadian High Arctic, by automated camera.
title: Dynamique du couvert de glace d’un lac dans l'extrême nord : Observations directes du lac Ward Hunt, haut arctique canadien, par caméra automatisée.

description: Long-term monitoring of lakes and fjords on the northern coast of Ellesmere Island, Nunavut, provides information on the effects of climate change on these ecosystems and their seasonal and interannual dynamics. Lake ice cover is a sentinel variable with controlling effects on lake ecosystems, and it is especially sensitive to climate change. This dataset of ice imagery for Ward Hunt Lake (Ward Hunt Island) covers the period 2016-2022 and is a contribution to the NEIGE program (Northern Ellesmere Island in the Global Environment). Weather-resistant time-lapse cameras were installed on metal supports (rods) overlooking the lake in order to observe and document changes in the lake (ice and snow cover, water level) and its watershed (snow, vegetation, ground conditions, wildlife). The dataset has been separated into seasonal or monthly folders to facilitate downloading; note that there was a change of camera model and repositioning in 2017.
description: Le suivi à long terme des lacs et des fjords sur la côte nord de l'île d'Ellesmere, au Nunavut, fournit des informations sur les effets du changement climatique sur ces écosystèmes et leur dynamique saisonnière et interannuelle. La couverture de glace de lac est une variable sentinelle ayant des effets contrôlants sur les écosystèmes lacustres, et elle est particulièrement sensible aux changements climatiques. Cet ensemble de données d'imagerie des glaces pour le lac Ward Hunt (île Ward Hunt) couvre la période 2016-2022 et constitue une contribution au programme NEIGE (Northern Ellesmere Island in the Global Environment). Des caméras time-lapse résistantes aux intempéries ont été installées sur des supports métalliques (tiges) surplombant le lac afin d'observer et de documenter les changements dans le lac (couverture de glace et de neige, niveau d'eau) et son bassin versant (neige, végétation, conditions du sol, faune). L'ensemble de données a été séparé en dossiers saisonniers ou mensuels pour faciliter le téléchargement; notons qu'il y a eu un changement de modèle de caméra et un repositionnement en 2017.
DOI: 10.5281/zenodo.15832232
title: X-ray computed microtomographic (XRCT) images of near-surface fault zone sediments

description: Uploaded are x-ray computed microtomographic (XRCT) images used to examine solid-fluid interactions within near-surface cores of sediments surrounding the fault strand that slipped during a circa (ca.) 1726 San Andreas Fault zone earthquake. The study site is 16 km northwest of Bombay Beach, California (33.45873, -115.8560), and our samples, collected at depths less than 2 m below sea level, are from a trench that exposes deposits of ancient Lake Cahuilla. The ca. 1726 earthquake occurred during a highstand of ancient Lake Cahuilla; our study site was ~55 m below the lake's surface at the time. Crustal deformation caused by the ca. 1726 earthquake has been documented for at least 85 km along the southernmost San Andreas fault zone, which has been used, alongside other observations, to constrain the earthquake's size to a magnitude 7.2 or larger with offsets on the order of ~3 m. Since the ca. 1726 earthquake, creep and triggered slip have occurred along the section of the fault we study, with estimates of ~3 mm/yr of motion over the last ~160 years.

We acquire XRCT images at the Advanced Light Source (ALS), Lawrence Berkeley National Lab, on beamline 8.3.2 and at the University of Texas High-Resolution XRCT Facility, using a Zeiss Xradia 620 Versa scanner. Imaging at ALS uses a 50 mm LuAG scintillator, PCO Edge camera, and 2X Nikon lens. We image with white light x-rays, 13 ms exposure times, and 2625 projections through 180-degree continuous sample rotations. This produces 1280 two-dimensional image slices with voxels' linear dimensions of 3.24 microns. We reconstruct the beamline images and perform ring removal, center of rotation optimizations, and outlier removal using TomoPy.  The Zeiss Xradio 620 Versa scanning parameters are 100kV radiation dose, 14 W power, 0.05s acquisition time, and five samples per view. We reconstructed these images with the Xradia Reconstructor software: center shift -2.739, beam hardening 0.8, theta 0, byte scaling [-0.03, 1.5], and binning of 1. The voxel linear dimensions of these images are 4 microns.
DOI: 10.5281/zenodo.16790784
title: X-ray computed microtomographic (XRCT) images of near-surface fault zone sediments

description: Uploaded are x-ray computed microtomographic (XRCT) images used to examine solid-fluid interactions within near-surface cores of sediments surrounding the fault strand that slipped during a circa (ca.) 1726 San Andreas Fault zone earthquake. The study site is 16 km northwest of Bombay Beach, California (33.45873, -115.8560), and our samples, collected at depths less than 2 m below sea level, are from a trench that exposes deposits of ancient Lake Cahuilla. The ca. 1726 earthquake occurred during a highstand of ancient Lake Cahuilla; our study site was ~55 m below the lake's surface at the time. Crustal deformation caused by the ca. 1726 earthquake has been documented for at least 85 km along the southernmost San Andreas fault zone, which has been used, alongside other observations, to constrain the earthquake's size to a magnitude 7.2 or larger with offsets on the order of ~3 m. Since the ca. 1726 earthquake, creep and triggered slip have occurred along the section of the fault we study, with estimates of ~3 mm/yr of motion over the last ~160 years.

We acquire XRCT images at the Advanced Light Source (ALS), Lawrence Berkeley National Lab, on beamline 8.3.2 and at the University of Texas High-Resolution XRCT Facility, using a Zeiss Xradia 620 Versa scanner. Imaging at ALS uses a 50 mm LuAG scintillator, PCO Edge camera, and 2X Nikon lens. We image with white light x-rays, 13 ms exposure times, and 2625 projections through 180-degree continuous sample rotations. This produces 1280 two-dimensional image slices with voxels' linear dimensions of 3.24 microns. We reconstruct the beamline images and perform ring removal, center of rotation optimizations, and outlier removal using TomoPy.  The Zeiss Xradio 620 Versa scanning parameters are 100kV radiation dose, 14 W power, 0.05s acquisition time, and five samples per view. We reconstructed these images with the Xradia Reconstructor software: center shift -2.739, beam hardening 0.8, theta 0, byte scaling [-0.03, 1.5], and binning of 1. The voxel linear dimensions of these images are 4 microns.
DOI: 10.5281/zenodo.16943627
title: ICESat-2 Technical References Table

description: Record of ICESat-2 activities including spacecraft maneuvers, on-board algorithm updates, yaw flips, solar array transitions, granule data gaps, safe hold periods, etc., organized by mission cycle (every ~91 days) and approximate timing of activity.