cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p13xnatf
title: Sierra Nevada Ecoregion LiDAR and Fuels Data, Collected in 2025

description: Vegetation structure and fuels data are essential for understanding fire behavior following management treatments such as mechanical thinning and prescribed burning. To evaluate these processes, 133 plots were established between July 17 and September 21, 2025 across national forests and parks in the Sierra Nevada. These plots consisted of treated and untreated areas for comparison. Plots were selected using stratified random sampling from treated and untreated areas. Hazardous and undesirable areas were filtered out, including steep slopes, areas near roads, non-federal lands, and areas within recent fire boundaries. Each plot had a diameter of 20 meters and was surveyed at both the transect and plot level. A terrestrial lidar scanner was also used to collect point cloud data at each plot. This data release includes manual fuel metrics in comma-separated values format (CSV), point clouds in the lidar data exchange format (LAS), and a shapefile (SHP) of plot locations.
DOI: 10.15156/bio/sh0190369.10fu
title: SH0190369.10FU

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: 10.15468/dl.jhj77q
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((78.111566 19.779358, 78.036929 19.773782, 77.964145 19.757192, 77.89502 19.73, 77.831266 19.692881, 77.77446 19.646755, 77.72600300000001 19.592765, 77.68708599999999 19.532246, 77.65866 19.466697, 77.641414 19.397735, 77.635758 19.327061, 77.641818 19.256418, 77.659429 19.187542, 77.68814399999999 19.122127, 77.72724700000001 19.061779, 77.775768 19.007977, 77.832509 18.962039, 77.896078 18.92509, 77.96491399999999 18.898033, 78.037333 18.88153, 78.111566 18.875983, 78.185799 18.88153, 78.258218 18.898033, 78.327054 18.92509, 78.39062300000001 18.962039, 78.44736399999999 19.007977, 78.495885 19.061779, 78.534988 19.122127, 78.563703 19.187542, 78.58131400000001 19.256418, 78.587374 19.327061, 78.581718 19.397735, 78.56447199999999 19.466697, 78.536046 19.532246, 78.497129 19.592765, 78.448672 19.646755, 78.39186599999999 19.692881, 78.328112 19.73, 78.258987 19.757192, 78.18620300000001 19.773782, 78.111566 19.779358))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001942-260108223611665/datasets/export for details.
DOI: 10.15156/bio/sh0190370.10fu
title: SH0190370.10FU

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/sh0190371.10fu
title: SH0190371.10FU

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/sh0190372.10fu
title: SH0190372.10FU

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/sh0190373.10fu
title: SH0190373.10FU

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/sh0190374.10fu
title: SH0190374.10FU

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/sh0190375.10fu
title: SH0190375.10FU

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: 10.6084/m9.figshare.26615923.v1
title: Additional file 1 of High-energy blunt pelvic ring injury incidence and polytrauma caseload in a single level I trauma center during COVID-19 related pseudo-lockdown measures: a retrospective cohort study based on a prospective registry

description: Additional file 1. Polytrauma patients database.
DOI: 10.6084/m9.figshare.26615872
title: Additional file 5 of CircXRN2 suppresses tumor progression driven by histone lactylation through activating the Hippo pathway in human bladder cancer

description: Additional file 5: Supplementary File 5. TCCSUP circXRN2-vs-NC-RNA-seq.
DOI: 10.6084/m9.figshare.26615923
title: Additional file 1 of High-energy blunt pelvic ring injury incidence and polytrauma caseload in a single level I trauma center during COVID-19 related pseudo-lockdown measures: a retrospective cohort study based on a prospective registry

description: Additional file 1. Polytrauma patients database.
DOI: 10.6084/m9.figshare.26615926
title: Additional file 2 of High-energy blunt pelvic ring injury incidence and polytrauma caseload in a single level I trauma center during COVID-19 related pseudo-lockdown measures: a retrospective cohort study based on a prospective registry

description: Additional file 2. Pelvic ring injury patients database.
DOI: 10.6084/m9.figshare.26615827.v1
title: Additional file 1 of Pyrroloquinoline quinone drives ATP synthesis in vitro and in vivo and provides retinal ganglion cell neuroprotection

description: Additional file 1: Dataset 1. Raw mass spectrometry data (area under the curve), weight normalized results, comparisons, and pathway analysis.
DOI: 10.6084/m9.figshare.26705079
title: Additional file 1 of Reduced fetal cerebral blood flow predicts perinatal mortality in a mouse model of prenatal alcohol and cannabinoid exposure

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.26705079.v1
title: Additional file 1 of Reduced fetal cerebral blood flow predicts perinatal mortality in a mouse model of prenatal alcohol and cannabinoid exposure

description: Supplementary Material 1
DOI: 10.15468/dl.9v984r
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.066319 -32.903733, 148.066319 -32.91047, 148.068565 -32.91047, 148.068565 -32.903733, 148.066319 -32.903733))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067883-240626123714530/datasets/export for details.
DOI: 10.18112/openneuro.ds005371.v1.1.1
title: Test-retest reliability of multi-metabolite edited MRS at 3T using PRESS and sLASER localization
DOI: 10.6084/m9.figshare.26615878
title: Additional file 7 of CircXRN2 suppresses tumor progression driven by histone lactylation through activating the Hippo pathway in human bladder cancer

description: Additional file 7: Supplementary File 7. CUT&Tag with IgG in T24.peak.annotation.
DOI: 10.6084/m9.figshare.26615878.v1
title: Additional file 7 of CircXRN2 suppresses tumor progression driven by histone lactylation through activating the Hippo pathway in human bladder cancer

description: Additional file 7: Supplementary File 7. CUT&Tag with IgG in T24.peak.annotation.
DOI: 10.15468/dl.aj25fh
title: Occurrence Download

description: A dataset containing 6301743 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is one of (China, Hong Kong)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2002-2024"
 ]
}

 The dataset includes 6301743 records from 2230 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067857-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25421/yorksj.28376150
title: Data Set for 'Global Approaches to Supporting Mental Health and Resettlement for Veterans with Embodied Trauma: A Comprehensive Scoping Review'

description: OBJECTIVES: Military veterans face significant holistic challenges when leaving military services and resettling back into the community. Recent research has shown that veterans experience higher rates of mental health difficulties than the general population and experience poorer treatment outcomes. The aim of this comprehensive scoping review is to map out the current therapeutic interventions used to support mental health care and resettlement for veterans across the globe, proposing key themes, noting any gaps and limitations.METHOD: We followed a five-staged scoping review protocol to map the existing landscape of the veteran mental health research literature regarding therapeutic and resettlement interventions, identifying key themes by: 1) identifying the research question 2) identifying the relevant literature 3) selecting the studies 4) charting the data and 5) collating, summarising, and reporting the results.RESULTS: Results show a decline in publications regarding veteran mental health and resettlement interventions since 2018, the Americentric, ‘WEIRD’ nature of the research base, and preference for individualised, technology-based psychological interventions, with a lack of culturally-informed, community focussed, relational research.CONCLUSION: This work highlights an urgent need for further non-Westernised research into holistic psychological interventions which relationally support the culturally diverse needs of veterans resettling back into their communities across the globe. It also advocates for a holistic bio-psycho-social-sexual-spiritual-existential approach to the needs of each veteran, using a culturally-informed, relational, and community-based assessment, formulation, and treatment plan for embodied trauma, moving beyond the pathologisation <i>dis-ease</i>, and mobilising the traumatised self back into the body, relationship, and community.
DOI: 10.25421/yorksj.28376150.v1
title: Data Set for 'Global Approaches to Supporting Mental Health and Resettlement for Veterans with Embodied Trauma: A Comprehensive Scoping Review'

description: OBJECTIVES: Military veterans face significant holistic challenges when leaving military services and resettling back into the community. Recent research has shown that veterans experience higher rates of mental health difficulties than the general population and experience poorer treatment outcomes. The aim of this comprehensive scoping review is to map out the current therapeutic interventions used to support mental health care and resettlement for veterans across the globe, proposing key themes, noting any gaps and limitations.METHOD: We followed a five-staged scoping review protocol to map the existing landscape of the veteran mental health research literature regarding therapeutic and resettlement interventions, identifying key themes by: 1) identifying the research question 2) identifying the relevant literature 3) selecting the studies 4) charting the data and 5) collating, summarising, and reporting the results.RESULTS: Results show a decline in publications regarding veteran mental health and resettlement interventions since 2018, the Americentric, ‘WEIRD’ nature of the research base, and preference for individualised, technology-based psychological interventions, with a lack of culturally-informed, community focussed, relational research.CONCLUSION: This work highlights an urgent need for further non-Westernised research into holistic psychological interventions which relationally support the culturally diverse needs of veterans resettling back into their communities across the globe. It also advocates for a holistic bio-psycho-social-sexual-spiritual-existential approach to the needs of each veteran, using a culturally-informed, relational, and community-based assessment, formulation, and treatment plan for embodied trauma, moving beyond the pathologisation <i>dis-ease</i>, and mobilising the traumatised self back into the body, relationship, and community.
DOI: 10.15468/dl.ay22e3
title: Occurrence Download

description: A dataset containing 181 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gastrolobium laytonii Jean White"
 ]
}

 The dataset includes 181 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022222-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cuu89q
title: Occurrence Download

description: A dataset containing 5689 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "TaxonKey is Phoca vitulina Linnaeus, 1758"
 ]
}

 The dataset includes 5689 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022223-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17871/geocarbon_synth_obs_v1
title: GEOCARBON SYNTHESIS dataset
DOI: 10.5067/aqua/airs/data207
title: Aqua AIRS L2 support product using AIRS IR and AMSU, without-HSB V6
DOI: 10.5439/1027372
title: qcrad1long

description: ARM Instrument: Data Quality Assessment for ARM Radiation Data
DOI: 10.14291/tccon.ggg2014.garmisch01.r0/1149299
title: TCCON data from Garmisch (DE), Release GGG2014.R0

description: <br> These data are now obsolete and should be replaced by the most recent data: https://doi.org/10.14291/tccon.ggg2014.garmisch01.R1 <br><br>The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This data set contains observations from the TCCON station at Garmisch, Germany.
description: <br>Cite this record as:<br>Sussmann, R., & Rettinger, M. (2017). <i>TCCON data from Garmisch (DE), Release GGG2014.R0</i> (Version GGG2014.R0) [Data set]. CaltechDATA. https://doi.org/10.14291/tccon.ggg2014.garmisch01.r0/1149299<br> or choose a  different citation style.<br>Download Citation<br>
DOI: 10.14291/tccon.ggg2014.jpl02.r0/1149297
title: TCCON data from Jet Propulsion Laboratory (US), 2011, Release GGG2014.R0

description: <br> These data are now obsolete and should be replaced by the most recent data: https://doi.org/10.14291/tccon.ggg2014.jpl02.R1/1330096 <br><br>The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This data set contains observations from the TCCON station at the Jet Propulsion Laboratory, Pasadena, U.S.A..
description: <br>Cite this record as:<br>Wennberg, P. O., Roehl, C. M., Blavier, J.-F., Wunch, D., Landeros, J., & Allen, N. T. (2017). <i>TCCON data from Jet Propulsion Laboratory (US), 2011, Release GGG2014.R0</i> [Data set]. CaltechDATA. https://doi.org/10.14291/tccon.ggg2014.jpl02.r0/1149297<br> or choose a  different citation style.<br>Download Citation<br>
DOI: 10.14291/tccon.ggg2014.lamont01.r0/1149159
title: TCCON data from Lamont (US), Release GGG2014.R0

description: <br> These data are now obsolete and should be replaced by the most recent data: https://doi.org/10.14291/tccon.ggg2014.lamont01.R1/1255070 <br><br>The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This data set contains observations from the TCCON station at Lamont, U.S.A..
description: <br>Cite this record as:<br>Wennberg, P. O., Wunch, D., Roehl, C. M., Blavier, J.-F., Toon, G. C., Allen, N. T., … Martin, J. (2017). <i>TCCON data from Lamont (US), Release GGG2014.R0</i> (Version GGG2014.R0) [Data set]. CaltechDATA. https://doi.org/10.14291/tccon.ggg2014.lamont01.r0/1149159<br> or choose a  different citation style.<br>Download Citation<br>
DOI: 10.14291/tccon.ggg2014.orleans01.r0/1149276
title: TCCON data from Orléans (FR), Release GGG2014.R0

description: <br> These data are now obsolete and should be replaced by the most recent data: https://doi.org/10.14291/tccon.ggg2014.orleans01.R1 <br><br>The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This data set contains observations from the TCCON station at Orléans, France.