cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15472/ffoslp
title: Colección Taxonómica Central del museo entomológico UNAB, familia Formicidae

description: El Museo Entomológico UNAB contiene cerca de 180.000 especímenes, con las siguientes características de conservación: 153.000 montados en alfiler y almacenados en 980 gavetas de madera tipo Cornell, ubicadas en seis paneles de compactadores y 395 cajas misceláneas en estanterías; 10.430 montadas en láminas: Coccomorpha (6.600 láminas), Collembola (1.700), Aphidomorpha (1400), Aleyrodomorpha (500), Thysanoptera (90), Acari (90), Psyllomorpha (50); 18.400 entre larvas y adultos, envasados en 4.600 frascos con alcohol, y 96 especímenes tipo montados en alfiler, que representan 46 especies. Aproximadamente, 20.000 especímenes se encuentran catalogados en la base digital de la Colección Taxonómica Central (CTC) del Museo UNAB, 17.000 de los cuales se encuentran identificados por especialistas, a nivel de género o especie. Dichas identificaciones representan un total de 4.000 especies, en 150 familias y 19 órdenes de insectos; así como siete especies de Acari en dos familias.
description: En el presente recuso se documenta información asociada a diferentes géneros y especies de la familia Formicidae recolectados entre 1990 y 2017 en diferentes zonas de Colombia. Todos los registros se encuentran actualmente depositados en el museo entomológico UNAB, de la Facultad de Ciencias Agrarias de la Universidad Nacional de Colombia, sede Bogotá. Se listan 230 registros biológicos de 12 géneros.
DOI: 10.15468/dl.24dwm2
title: Occurrence Download

description: A dataset containing 512 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Terminalia ivorensis A.Chev."
 ]
}

 The dataset includes 512 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082577-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d572pp
title: Occurrence Download

description: A dataset containing 6171 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hermetia illucens (Linnaeus, 1758)"
 ]
}

 The dataset includes 6171 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0308663-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17240095
title: DFT-NEB-MIGRATION-BARRIER-DATASET

description: The migration barrier dataset compiles DFT–NEB–calculated ionic migration barriers for a wide range of electrode and solid electrolyte materials reported in the literature relevant to battery applications. It forms part of the study “A literature-derived dataset of migration barriers for quantifying ionic transport in battery materials” by Reshma Devi, Avaneesh Balasubramanian, Keith Butler, and Sai Gautam Gopalakrishnan (currently under review, preprint available on arXiv)

The dataset is distributed as a JSON file, where each entry contains ten key descriptors: a unique JSON ID (jid), initial (structure_ini) and final (structure_fin) structures along the migration path, reported migration barrier (Em), chemical formula (formula), crystal class (crystal_class), system name (sys_name), space group (space_group), exchange–correlation functional used (XC), DFT calculation metadata from the corresponding study (calc_metadata), and the literature citation in BibTeX format (bibtex).

If you wish to contribute your DFT–NEB calculated barrier to our dataset, please send the following information to one of the listed email addresses (saigautamg@iisc.ac.in, k.t.butler@ucl.ac.uk ) or follow the procedures provided below.

Required Information:





Structural details of the system under study




Exchange–Correlation (XC) functional used




Relaxed and unrelaxed structures of the endpoint configurations (in VASP or Pymatgen structure object format)




NEB calculation details, including:





Software and version used




Pseudopotentials applied




Convergence criteria for both NEB and DFT relaxations




Energy cutoff, k-point density, and spacing between periodic images






Converged NEB output files and/or minimum energy pathway data




Calculated energy barrier value




How to Add a New Entry 







Fork the repository (https://github.com/sai-mat-group/migration-barrier-dataset.git). For more information, visit: 






https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/creating-a-pull-request-from-a-fork 








Create a new branch. 










Create a new file in the following location: data/entries/<newname>.json 




Include required fields. Convert the data into the format specified, corresponding to the 11 keyword description (For more descriptions on the keywords, visit https://arxiv.org/abs/2508.06459)


Open a new pull request
DOI: 10.5281/zenodo.17240094
title: DFT-NEB-MIGRATION-BARRIER-DATASET

description: The migration barrier dataset compiles DFT–NEB–calculated ionic migration barriers for a wide range of electrode and solid electrolyte materials reported in the literature relevant to battery applications. It forms part of the study “A literature-derived dataset of migration barriers for quantifying ionic transport in battery materials” by Reshma Devi, Avaneesh Balasubramanian, Keith Butler, and Sai Gautam Gopalakrishnan (currently under review, preprint available on arXiv)

The dataset is distributed as a JSON file, where each entry contains ten key descriptors: a unique JSON ID (jid), initial (structure_ini) and final (structure_fin) structures along the migration path, reported migration barrier (Em), chemical formula (formula), crystal class (crystal_class), system name (sys_name), space group (space_group), exchange–correlation functional used (XC), DFT calculation metadata from the corresponding study (calc_metadata), and the literature citation in BibTeX format (bibtex).

If you wish to contribute your DFT–NEB calculated barrier to our dataset, please send the following information to one of the listed email addresses (saigautamg@iisc.ac.in, k.t.butler@ucl.ac.uk ) or follow the procedures provided below.

Required Information:





Structural details of the system under study




Exchange–Correlation (XC) functional used




Relaxed and unrelaxed structures of the endpoint configurations (in VASP or Pymatgen structure object format)




NEB calculation details, including:





Software and version used




Pseudopotentials applied




Convergence criteria for both NEB and DFT relaxations




Energy cutoff, k-point density, and spacing between periodic images






Converged NEB output files and/or minimum energy pathway data




Calculated energy barrier value




How to Add a New Entry 







Fork the repository (https://github.com/sai-mat-group/migration-barrier-dataset.git). For more information, visit: 






https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/creating-a-pull-request-from-a-fork 








Create a new branch. 










Create a new file in the following location: data/entries/<newname>.json 




Include required fields. Convert the data into the format specified, corresponding to the 11 keyword description (For more descriptions on the keywords, visit https://arxiv.org/abs/2508.06459)


Open a new pull request
DOI: 10.15468/dl.tafxyk
title: Occurrence Download

description: A dataset containing 116 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eragrostis lehmanniana",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 116 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008550-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r48dtf
title: Occurrence Download

description: A dataset containing 1506 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arthropoda",
 "DatasetKey is Brecknock Wildlife Trust (Now WTSWW Brecknockhire) records held by BIS",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-25.03991 31.75, 41.65954 31.75, 41.65954 71.53037, -25.03991 71.53037, -25.03991 31.75))"
 ]
}

 The dataset includes 1506 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0218124-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112021496
title: Cuneiform Tablet 1913.14.1502, Spurlock 1913.14.1502

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.1502; CDLI P421354 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/2) Medium Gray (N 5.25/ 22.1% R) Moderate Yellowish Pink (5YR 7/4) ❧ [Physical Object Note:] 11.9 x 6.3 x 2.5 cm (226g)
DOI: 10.15468/dl.rhx7kr
title: Occurrence Download

description: A dataset containing 884002 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Continent is Europe",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Podiceps cristatus (Linnaeus, 1758)"
 ]
}

 The dataset includes 884002 records from 708 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020706-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zjhdth
title: Occurrence Download

description: A dataset containing 659 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Iris prismatica Pursh"
 ]
}

 The dataset includes 659 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0300952-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112021534
title: Cuneiform Tablet 1913.14.1502, Spurlock 1913.14.1502

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.1502; CDLI P421354 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/2) Medium Gray (N 5.25/ 22.1% R) Moderate Yellowish Pink (5YR 7/4) ❧ [Physical Object Note:] 11.9 x 6.3 x 2.5 cm (226g)
DOI: 10.15468/dl.vtbvaf
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "Geometry POLYGON((-75.49661 -0.37895,-75.35872 -1.72043,-76.06667 -2.15639,-77.21549 -2.7038,-77.90782 -2.98502,-76.68786 -4.8222,-75.33352 -7.63663,-74.62745 -9.13663,-73.19114 -11.12463,-71.64667 -13.18586,-70.3213 -13.9613,-69.158 -14.41594,-69.19943 -13.31235,-68.96282 -12.5363,-69.39827 -11.0789,-70.24487 -10.95666,-70.58776 -9.73165,-71.89865 -9.94754,-72.5012 -9.34854,-73.21658 -9.46992,-75.49661 -0.37895))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Artocarpus altilis (Parkinson) Fosberg"
 ]
}

 The dataset includes 22 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0270217-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tk6wsy
title: Occurrence Download

description: A dataset containing 1667131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Costa Rica, Colombia, Argentina, Brazil)",
 "TaxonKey is Icteridae"
 ]
}

 The dataset includes 1667131 records from 557 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011951-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112021453
title: Cuneiform Tablet 1913.14.1502, Spurlock 1913.14.1502

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.1502; CDLI P421354 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/2) Medium Gray (N 5.25/ 22.1% R) Moderate Yellowish Pink (5YR 7/4) ❧ [Physical Object Note:] 11.9 x 6.3 x 2.5 cm (226g)
DOI: 10.15468/dl.se5kd9
title: Occurrence Download

description: A dataset containing 378514 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Ireland, Svalbard and Jan Mayen, Portugal, Spain, France, Germany, Belgium, Netherlands, Switzerland, Austria, Italy, Greece, Cyprus, Poland, Czechia, Slovakia, Hungary, Albania, Serbia, Romania, Bulgaria, Türkiye, Russian Federation, Ukraine)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Polygonum aviculare L."
 ]
}

 The dataset includes 378514 records from 2198 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065457-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0170188.10fu
title: SH0170188.10FU

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/sh0170189.10fu
title: SH0170189.10FU

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/sh0170190.10fu
title: SH0170190.10FU

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/sh0170191.10fu
title: SH0170191.10FU

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/sh0170192.10fu
title: SH0170192.10FU

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/sh0170193.10fu
title: SH0170193.10FU

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/sh0170194.10fu
title: SH0170194.10FU

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/sh0170195.10fu
title: SH0170195.10FU

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/sh0170196.10fu
title: SH0170196.10FU

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.