cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18442695
title: InSAR Svalbard Ground Motion Service: Observing Surface Displacements in the High Arctic

description: The InSAR Svalbard Ground Motion Service (GMS) provides open-access ground surface displacement maps and time series in the Svalbard archipelago, derived from spaceborne Interferometric Synthetic Aperture Radar (InSAR). The results are generated using a Small Baseline Subset (SBAS) multi-temporal InSAR approach applied to Sentinel-1 imagery. They consist of seasonal products capturing surface displacements during the snow-free seasons from 2016 to 2024, and interannual products documenting long-term velocity trends between 2018 and 2024. The products cover five pilot study areas, including the main settlements, research stations and cultural heritage sites on Spitsbergen Island (Longyearbyen, Ny-Ålesund, Svea, Hornsund and Kapp Linné). Located within the continuous permafrost zone of Svalbard, the observations document seasonal and interannual ground surface displacements, offering insights into a wide range of periglacial processes such as active layer dynamics, permafrost thaw and slope movement. The InSAR Svalbard GMS establishes a foundation for operational geohazard assessment and interdisciplinary Arctic research on permafrost, ground dynamics and climate change. The current data package is the first open release of the pilot products. The dataset is distributed as CSV files in the Zenodo repository and can be viewed in a web-based 3D visualisation tool (WebGIS) (https://svalbard.insar.no). 

Financial support: The InSAR Svalbard Development Project (2023–2025) has been funded by the Norwegian Space Agency (NoSA) (Post 74) and the Geological Survey of Norway (NGU). Recent research on InSAR in Svalbard and its use for permafrost science and geohazard assessment have also been supported by the ESA CCI Permafrost project (4000123681/18/I-NB) and the Fram Centre PermaRICH project (Ministry of Climate and Environment, chap. 1747, post 70).
DOI: 10.15468/dl.2k8zn7
title: Occurrence Download

description: A dataset containing 10762 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is MEMO-Monitoring exotic mosquitoes in Belgium"
 ]
}

 The dataset includes 10762 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009726-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jnqe5s
title: Occurrence Download

description: A dataset containing 441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bryum argenteum"
 ]
}

 The dataset includes 441 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009731-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j62nr5
title: Occurrence Download

description: A dataset containing 4998 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Ohio State University Tetrapod Division - Amphibian Collection (OSUM)"
 ]
}

 The dataset includes 4998 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009729-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d8dmsh
title: Occurrence Download

description: A dataset containing 47679 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is French Guiana",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 47679 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009736-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18462846
title: Molecular Dynamics Simulations of a Manganese Riboswitch

description: This dataset contains molecular dynamics simulations, input files, topologies and other necessary data supporting the study:

pH-dependent allosteric remodeling of a bacterial riboswitch couples alkaline activation to metal-sensing   

The simulations characterize the impact of pH-dependency on the conformational stability of the alx aptamer.

Folder organization for standard MD is as follows:



Native-Deprot



1-Prep-min

2-Initialization

3-MD

4-Steered



Wobble-Prot



1-Prep-min

2-Initialization

3-MD

4-Steered

5-Equil

6-Post-Steered




Within each sub-directory, there is a .zip file for each chain [A-D]. The contents are:



Input files used for standard MD (i.e. topologies, mdp, gros, scripts)

Processed trajectories (.xtc) for each chain and replicate (~1000-2000 frames)


Similarly, the CpHMD folders are partitioned into Wobble-CpHMD and Native-CpHMD. Within each folder, there is a .zip  for each chain [A-D] containing:



Protonation data (.occ) for the titrable A92 residue

Final .gro for each simulation

Processed trajectories (.xtc) for each chain and replicate (~1000-2000 frames)


Topologies found in the Native-Deprot and Wobble-Prot can be used with their respective CpHMD data. Additionally, a jupyter notebook is available to reproduce the plots found in the paper with the necessary data available.

All simulations were performed using GROMACS 2022.3 with a modified OL3 RNA force field compatible with pH titration at 310K and 1 bar. Other relevant data is available on GitHub.
DOI: 10.5281/zenodo.18462847
title: Molecular Dynamics Simulations of a Manganese Riboswitch

description: This dataset contains molecular dynamics simulations, input files, topologies and other necessary data supporting the study:

pH-dependent allosteric remodeling of a bacterial riboswitch couples alkaline activation to metal-sensing   

The simulations characterize the impact of pH-dependency on the conformational stability of the alx aptamer.

Folder organization for standard MD is as follows:



Native-Deprot



1-Prep-min

2-Initialization

3-MD

4-Steered



Wobble-Prot



1-Prep-min

2-Initialization

3-MD

4-Steered

5-Equil

6-Post-Steered




Within each sub-directory, there is a .zip file for each chain [A-D]. The contents are:



Input files used for standard MD (i.e. topologies, mdp, gros, scripts)

Processed trajectories (.xtc) for each chain and replicate (~1000-2000 frames)


Similarly, the CpHMD folders are partitioned into Wobble-CpHMD and Native-CpHMD. Within each folder, there is a .zip  for each chain [A-D] containing:



Protonation data (.occ) for the titrable A92 residue

Final .gro for each simulation

Processed trajectories (.xtc) for each chain and replicate (~1000-2000 frames)


Topologies found in the Native-Deprot and Wobble-Prot can be used with their respective CpHMD data. Additionally, a jupyter notebook is available to reproduce the plots found in the paper with the necessary data available.

All simulations were performed using GROMACS 2022.3 with a modified OL3 RNA force field compatible with pH titration at 310K and 1 bar. Other relevant data is available on GitHub.
DOI: 10.15468/dl.9dsvw6
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eokochia saxicola",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009737-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18405898
title: Source behavioral data for Blackmer-Raynolds et al. 2026- Indigenous gut microbes modulate neural cell state and neurodegenerative disease susceptability

description: Here, we provide behavioral source data used in the manuscript: https://doi.org/10.1101/2025.02.17.638718, which describes the contributions of the microbiome to the transcriptional state of the brain, and disease susceptibility. 

An Excel spreadsheet is provided with the numerical data for murine behavior as presented in this manuscript, with labeled tabs for each specific task.
DOI: 10.5281/zenodo.18405899
title: Source behavioral data for Blackmer-Raynolds et al. 2026- Indigenous gut microbes modulate neural cell state and neurodegenerative disease susceptability

description: Here, we provide behavioral source data used in the manuscript: https://doi.org/10.1101/2025.02.17.638718, which describes the contributions of the microbiome to the transcriptional state of the brain, and disease susceptibility. 

An Excel spreadsheet is provided with the numerical data for murine behavior as presented in this manuscript, with labeled tabs for each specific task.
DOI: 10.15468/dl.6hjppw
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is USDA United States National Fungus Collections",
 "TaxonKey is Synchytrium endobioticum"
 ]
}

 The dataset includes 37 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009738-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18471150
title: TALABALARNING KASBIY MA'NAVIYATINI SHAKLLANTIRISH STRATEGIYALARI

description: Mazkur maqolada oliy ta’lim muassasalarida tahsil olayotgan talabalarning kasbiy ma’naviyatini shakllantirish strategiyalari tahlil qilinadi. Tadqiqotda kasbiy ma’naviyat tushunchasi, uni rivojlantirishga xizmat qiluvchi pedagogik usullar hamda ularning samaradorligi o‘rganildi. Natijalar talabalarda kasbiy mas’uliyat, axloqiy ong va ijtimoiy faollikni oshirishda tizimli strategiyalarni ko‘rsatdi.

     Shuningdek o‘qituvchining shaxsiy namunasi va ta’lim muhitining ma’naviy-axloqiy yo‘naltirilganligi talabalarning kasbiy qadriyatlarini mustahkamlashda asosiy omil sifatida aniqlandi.
DOI: 10.5281/zenodo.18471151
title: TALABALARNING KASBIY MA'NAVIYATINI SHAKLLANTIRISH STRATEGIYALARI

description: Mazkur maqolada oliy ta’lim muassasalarida tahsil olayotgan talabalarning kasbiy ma’naviyatini shakllantirish strategiyalari tahlil qilinadi. Tadqiqotda kasbiy ma’naviyat tushunchasi, uni rivojlantirishga xizmat qiluvchi pedagogik usullar hamda ularning samaradorligi o‘rganildi. Natijalar talabalarda kasbiy mas’uliyat, axloqiy ong va ijtimoiy faollikni oshirishda tizimli strategiyalarni ko‘rsatdi.

     Shuningdek o‘qituvchining shaxsiy namunasi va ta’lim muhitining ma’naviy-axloqiy yo‘naltirilganligi talabalarning kasbiy qadriyatlarini mustahkamlashda asosiy omil sifatida aniqlandi.
DOI: 10.15468/dl.6bdsum
title: Occurrence Download

description: A dataset listing the 356 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Biodiversity data of the Banc D'Arguin National Park. Information for education, conservation and management."
 ]
}

 The dataset's 356 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009716-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6xb8vt
title: Occurrence Download

description: A dataset containing 1791 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chrysocyon brachyurus"
 ]
}

 The dataset includes 1791 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009741-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4x6kh4
title: Occurrence Download

description: A dataset containing 40528 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "DatasetKey is Museum of Comparative Zoology, Harvard University",
 "MediaType is Image",
 "OccurrenceStatus is Present",
 "TaxonKey is Formicidae"
 ]
}

 The dataset includes 40528 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009740-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nuwsbw
title: Occurrence Download

description: A dataset containing 6649 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Auxis thazard",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 6649 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009742-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h7393t
title: Occurrence Download

description: A dataset containing 112201221 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is one of (1928bdf0-f5d2-11dc-8c12-b8a03c50a862, 28eb1a3f-1c15-4a95-931a-4af90ecb574d, 2089ce96-4fb5-4a20-999c-3ccf45a27a4d)",
 "Year 2007-2025"
 ]
}

 The dataset includes 112201221 records from 22644 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009689-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1209293.10fu
title: SH1209293.10FU

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/sh1209294.10fu
title: SH1209294.10FU

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/sh1209301.10fu
title: SH1209301.10FU

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/sh1209302.10fu
title: SH1209302.10FU

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/sh1209303.10fu
title: SH1209303.10FU

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/sh1209304.10fu
title: SH1209304.10FU

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/sh1209306.10fu
title: SH1209306.10FU

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/sh1209307.10fu
title: SH1209307.10FU

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/sh1209310.10fu
title: SH1209310.10FU

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.