cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0158753.10fu
title: SH0158753.10FU

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/sh0158754.10fu
title: SH0158754.10FU

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/sh0158755.10fu
title: SH0158755.10FU

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/sh0158756.10fu
title: SH0158756.10FU

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/sh0158757.10fu
title: SH0158757.10FU

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.ckdzxg
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Goniurosaurus toyamai"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000947-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0158758.10fu
title: SH0158758.10FU

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/sh0158759.10fu
title: SH0158759.10FU

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/sh0158760.10fu
title: SH0158760.10FU

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.b2uyxx
title: Occurrence Download

description: A dataset containing 3485 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Switzerland",
 "DatasetKey is Swiss National Mammal Databank: Larger Carnivores Monitoring Program (KORA)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Canis lupus",
 "Year 2013-2018"
 ]
}

 The dataset includes 3485 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016210-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gh7zcw
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Manjekia maturbongsii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016211-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71853/hjtk-f739
title: MD libraries for publication "Why Do Ionic Surfactants Significantly Alter the Chemiluminogenic Properties of Acridinium Salt"

description: <p>AMBER MD package compatible residue libraries used in the publication https://doi.org/10.3390/molecules29163736</p>
DOI: 10.17028/rd.lboro.31279246
title: Supplementary information files for "Hydrogen for cooking: Mapping multi-level transition outcomes and preemptive policy pathways through stakeholder engagement in Zambia"

description: Supplementary files for article "Hydrogen for cooking: Mapping multi-level transition outcomes and preemptive policy pathways through stakeholder engagement in Zambia"<br><br>Clean cooking transitions are context specific due to the challenges and opportunities they present in shifting from traditional biomass and fossil fuels. This study explored hydrogen for cooking in Zambia to understand how stakeholders judge its benefits and risks (n = 14 organisations). A systems-thinking lens was applied to theorize and map interdependencies across social, economic, and technical benefits. Qualitative insights were combined with a transparent scoring approach and non-parametric bootstrapping to show uncertainty around rankings. The findings revealed that stakeholders view hydrogen cooking as a catalyst for socio-economic progress and environmental gains. They also flag major hurdles: livelihood disruption during transition, affordability, cultural acceptance, infrastructure readiness, and fragmented policies. These findings point to early, targeted interventions that anticipate and mitigate potential externalities. Priorities include alternative income support where livelihoods may shift, community engagement to build acceptance, technical training to reduce reliance on external expertise, and supply chain development to ensure reliability. Across options, respondents give more weight to social benefits than to purely technical or economic performance of energy systems. A multi-criteria decision-making approach, informed by stakeholder-derived weights highlights where preferences converge at small scale and diverge at larger scale. The study contributes a context-sensitive approach that integrates stakeholder analysis with systems thinking. It foregrounds interdependencies, explicitly accommodates uncertainty, and places communities at the centre of clean-cooking strategies, offering guidance for implementation in similar settings.<br><br>© The Author(s), CC BY 4.0
DOI: 10.17028/rd.lboro.31279246.v1
title: Supplementary information files for "Hydrogen for cooking: Mapping multi-level transition outcomes and preemptive policy pathways through stakeholder engagement in Zambia"

description: Supplementary files for article "Hydrogen for cooking: Mapping multi-level transition outcomes and preemptive policy pathways through stakeholder engagement in Zambia"<br><br>Clean cooking transitions are context specific due to the challenges and opportunities they present in shifting from traditional biomass and fossil fuels. This study explored hydrogen for cooking in Zambia to understand how stakeholders judge its benefits and risks (n = 14 organisations). A systems-thinking lens was applied to theorize and map interdependencies across social, economic, and technical benefits. Qualitative insights were combined with a transparent scoring approach and non-parametric bootstrapping to show uncertainty around rankings. The findings revealed that stakeholders view hydrogen cooking as a catalyst for socio-economic progress and environmental gains. They also flag major hurdles: livelihood disruption during transition, affordability, cultural acceptance, infrastructure readiness, and fragmented policies. These findings point to early, targeted interventions that anticipate and mitigate potential externalities. Priorities include alternative income support where livelihoods may shift, community engagement to build acceptance, technical training to reduce reliance on external expertise, and supply chain development to ensure reliability. Across options, respondents give more weight to social benefits than to purely technical or economic performance of energy systems. A multi-criteria decision-making approach, informed by stakeholder-derived weights highlights where preferences converge at small scale and diverge at larger scale. The study contributes a context-sensitive approach that integrates stakeholder analysis with systems thinking. It foregrounds interdependencies, explicitly accommodates uncertainty, and places communities at the centre of clean-cooking strategies, offering guidance for implementation in similar settings.<br><br>© The Author(s), CC BY 4.0
DOI: 10.57756/kfm3uj
title: 3D model of an Abingdon Island Tortoise (NHMW-ZOO-HS-4196)

description: <p>3D scan of a giant tortoise from the Galápagos Islands, Ecuador. For a long time, the giant tortoises of the Galápagos volcanic islands were seen as one species. Now they are considered to be separate species, most of which were eradicated in historic times. <em>Chelonoidis abingdonii</em>—of which one specimen is shown here—lived on Abingdon Island. This specimen was acquired by the NHM Vienna in 1914. This specimen was the first of this species to be kept in a zoo. It died
 at the London Zoo in 1914 and was later acquired by the NHMW.</p>
DOI: 10.5281/zenodo.17019510
title: Updated grounding line mapping in the Amundsen Sea Embayment, Antarctica, from 1-day repeat Sentinel-1 SAR data

description: This dataset contains data described in the article: 

Brief communication: Updated grounding line mapping in the Amundsen Sea Embayment, Antarctica, from 1-day repeat Sentinel-1 SAR data

by Jonas K. Andersen, Romain Millan, Eric Rignot, Lucille Gimenes, Bernd Scheuchl, Jean Baptiste Barré, and Anders, A. Bjørk 

(Submitted to The Cryosphere, September 11th 2025).

 

The dataset provides an updated delineation of glacier grounding lines in the Amundsen Sea Embayment (ASE), West Antarctica, based on double-difference SAR interferometry from 2025 Sentinel-1 1-day repeat-pass acquisitions. The 1-day repeat acquisitions were collected during the Sentinel-1C in-orbit commissioning phase in January-March 2025. The delineation spans the region between the Abbot and Getz ice shelves and includes the grounding zones of Pine Island, Thwaites, Pope, Smith, Kohler, and other outlet glaciers. A total of 11 double-difference interferograms were generated, and a delineation was generated for all regions with moderate/high coherence in each interferogram. The dataset also contains estimated Sea Surface Height difference and maximum for each double-difference product (see Text S1 in the associated article).

The dataset includes:





Grounding Line Vector File (S1_1day_GL_2025_ASE.gpkg)A polyline shapefile delineating the 2025 grounding lines, derived using double-difference SAR interferometry. The grounding line is delineated at the inland limit of the vertical displacements induced by tidal flexure and has been manually interpreted from each available 1-day Sentinel-1 double-difference interferogram. 





Format: GeoPackage (.gpkg)




CRS: EPSG:3031 – WGS 84 / Antarctic Polar Stereographic




Acquisition dates: January 17th - March 7th 2025


Metadata fields: Product ID, satellite track, double-difference interferogram acquisition times (t1-t4), Sea Surface Height estimates (relative difference, SSH_difference, and maximum, SSH_max)



Coverage: Amundsen Sea Embayment






Geocoded Interferograms (TXXX.zip)A set of Sentinel-1 geocoded double-difference interferograms used to delineate the grounding line. The interferograms are provided in GeoTIFF format. Each double-difference product corresponds to the phase difference between a pair of 1-day interferograms (with acquisition dates contained in the respective filename). Interferograms were obtained from 4 different orbit/tracks and are stored in separate folders (with naming convention 'TXXX'). Relevant metadata (acquisition timestamps, SSH estimates) are contained in the GeoPackage.





Format: GeoTIFF (Float32)


Naming convention: date1_date2_date3_date4.tif



Resolution: 50 x 50 m




Units: Radians




CRS: EPSG:3031 – WGS 84 / Antarctic Polar Stereographic
DOI: 10.5281/zenodo.18503724
title: Updated grounding line mapping in the Amundsen Sea Embayment, Antarctica, from 1-day repeat Sentinel-1 SAR data

description: This dataset contains data described in the article: 

Brief communication: Updated grounding line mapping in the Amundsen Sea Embayment, Antarctica, from 1-day repeat Sentinel-1 SAR data

by Jonas K. Andersen, Romain Millan, Eric Rignot, Lucille Gimenes, Bernd Scheuchl, Jean Baptiste Barré, and Anders, A. Bjørk 

(Submitted to The Cryosphere, September 11th 2025).

 

The dataset provides an updated delineation of glacier grounding lines in the Amundsen Sea Embayment (ASE), West Antarctica, based on double-difference SAR interferometry from 2025 Sentinel-1 1-day repeat-pass acquisitions. The 1-day repeat acquisitions were collected during the Sentinel-1C in-orbit commissioning phase in January-March 2025. The delineation spans the region between the Abbot and Getz ice shelves and includes the grounding zones of Pine Island, Thwaites, Pope, Smith, Kohler, and other outlet glaciers. A total of 11 double-difference interferograms were generated, and a delineation was generated for all regions with moderate/high coherence in each interferogram. The dataset also contains estimated Sea Surface Height difference and maximum for each double-difference product (see Text S1 in the associated article).

The dataset includes:





Grounding Line Vector File (S1_1day_GL_2025_ASE.gpkg)A polyline shapefile delineating the 2025 grounding lines, derived using double-difference SAR interferometry. The grounding line is delineated at the inland limit of the vertical displacements induced by tidal flexure and has been manually interpreted from each available 1-day Sentinel-1 double-difference interferogram. 





Format: GeoPackage (.gpkg)




CRS: EPSG:3031 – WGS 84 / Antarctic Polar Stereographic




Acquisition dates: January 17th - March 7th 2025


Metadata fields: Product ID, satellite track, double-difference interferogram acquisition times (t1-t4), Sea Surface Height estimates (relative difference, SSH_difference, and maximum, SSH_max)



Coverage: Amundsen Sea Embayment






Geocoded Interferograms (TXXX.zip)A set of Sentinel-1 geocoded double-difference interferograms used to delineate the grounding line. The interferograms are provided in GeoTIFF format. Each double-difference product corresponds to the phase difference between a pair of 1-day interferograms (with acquisition dates contained in the respective filename). Interferograms were obtained from 4 different orbit/tracks and are stored in separate folders (with naming convention 'TXXX'). Relevant metadata (acquisition timestamps, SSH estimates) are contained in the GeoPackage.





Format: GeoTIFF (Float32)


Naming convention: date1_date2_date3_date4.tif



Resolution: 50 x 50 m




Units: Radians




CRS: EPSG:3031 – WGS 84 / Antarctic Polar Stereographic
DOI: 10.15468/dl.f6xsh9
title: Occurrence Download

description: A dataset containing 781 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elymnias nesaea"
 ]
}

 The dataset includes 781 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016212-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9xbma5
title: Occurrence Download

description: A dataset containing 399 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Andrographis paniculata"
 ]
}

 The dataset includes 399 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016213-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.aug2zx2f
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5763154 records)
DOI: 10.5517/ccdc.csd.cc2fbfz6
title: CCDC 2244368: Experimental Crystal Structure Determination

description: Related Article: Kaiyue Zhuo, Kaidong Ruan, Fei-Hu Cui, Ming Luo, Jiawei Fei, Haiping Xia, Yu-Mei Lin|2026|JACS Au|||doi:10.1021/jacsau.5c01195
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.