cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9a4mzu
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Matricaria discoidea",
 "Country is Korea (Democratic People’s Republic of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004855-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yxw58r
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opuntia ficus-indica",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004854-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mepnjj
title: Occurrence Download

description: A dataset containing 479 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opuntia ficus-indica",
 "Country is Kenya",
 "HasCoordinate is true"
 ]
}

 The dataset includes 479 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004856-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25946/29422394
title: Interviews and Images collected and analysed - deidentified

description: The research aims to shed light on different dimensions of reading-to-dog interventions, including the motivations and challenges and how these factors contribute to the effectiveness of promoting positive reading experiences and potentially impacting reading outcomes. Research methods will consist of semi-structured interviews with teachers/facilitators and volunteers, art-based drawing elicitation from children and a researcher's reflective journal. This data will be interpreted through a reflexive thematic analysis lens.
DOI: 10.25946/29422394.v1
title: Interviews and Images collected and analysed - deidentified

description: The research aims to shed light on different dimensions of reading-to-dog interventions, including the motivations and challenges and how these factors contribute to the effectiveness of promoting positive reading experiences and potentially impacting reading outcomes. Research methods will consist of semi-structured interviews with teachers/facilitators and volunteers, art-based drawing elicitation from children and a researcher's reflective journal. This data will be interpreted through a reflexive thematic analysis lens.
DOI: 10.15468/dl.4v83n6
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scoparia dulcis"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004857-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16075910
title: COVID-19-Todesfälle in Deutschland

description: Im Datensatz 'COVID-19-Todesfälle in Deutschland' werden die Todesfälle in Bezug auf COVID-19 in Deutschland bereitgestellt. Darüber hinaus wird neben der Anzahl der übermittelten Todesfälle der Fall-Verstorbenen-Anteil berechnet.
Angaben zum Tod zählen zu den melde- und übermittlungspflichtigen Inhalten. Bei der Ermittlung von Todesfällen und der Bewertung der entsprechenden Informationen in den Gesundheitsämtern unterschiedlich vorgegangen. In der Folge könnte es einerseits zu einer Unterschätzung der Anzahl der Todesfälle, andererseits zu einer Überschätzung des Anteils der Verstorbenen einer Infektionskrankheit kommen. Ausführlich Hinweise zur Datenerhebung und Interpretation können der Datensatzdokumentation entnommen werden.
DOI: 10.15468/dl.5yzqwb
title: Occurrence Download

description: A dataset containing 4262 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cochlearia pyrenaica"
 ]
}

 The dataset includes 4262 records from 181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004858-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.apae8z
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gammarus tigrinus",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 34 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004860-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vgk2wr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gammarus tigrinus",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004861-250717081556266/datasets/export for details.
DOI: 10.5281/zenodo.16075911
title: 7-Tage-Inzidenz der COVID-19-Fälle in Deutschland

description: Im Datensatz '7-Tage-Inzidenz von COVID-19 in Deutschland' werden die aktuellen 7-Tage-Inzidenzen der nach den Vorgaben des Infektionsschutzgesetzes - IfSG - an das RKI übermittelten COVID-19-Fälle veröffentlicht. Datengrundlage zur Berechnung der 7-Tage-Inzidenzen sind die an das RKI übermittelten COVID-19-Fälle. Eine detaillierte Dokumentation zur Erhebung der Daten zum Infektionsgeschehen ist im Datensatz 'SARS-CoV-2-Infektionen in Deutschland' enthalten. Die für die Berechnung der 7-Tage-Inzidenz notwendigen Bevölkerungsdaten bezieht das RKI durch das Statistisches Bundesamt (Destatis), Referat F24 | Bevölkerungsfortschreibung, Ausländer- und Integrationsstatistiken.
DOI: 10.15468/dl.hbzwq4
title: Occurrence Download

description: A dataset containing 1972 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Swertia japonica"
 ]
}

 The dataset includes 1972 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004859-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.up48jj
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gammarus tigrinus",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004862-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zh3cyv
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Matricaria discoidea",
 "Country is Kyrgyzstan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004864-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d3vyff
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Draba spruceana"
 ]
}

 The dataset includes 67 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004866-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5aswam
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opuntia ficus-indica",
 "Country is Lesotho",
 "HasCoordinate is true"
 ]
}

 The dataset includes 25 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004865-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jkywfm
title: Occurrence Download

description: A dataset containing 1929 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scoparia montevidensis"
 ]
}

 The dataset includes 1929 records from 149 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004867-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tg9zrg
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is RUS.18_1",
 "TaxonKey is Lythrum salicaria"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004868-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4hsega
title: Occurrence Download

description: A dataset containing 175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opuntia ficus-indica",
 "Country is Malta",
 "HasCoordinate is true"
 ]
}

 The dataset includes 175 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004869-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wnefkp
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Matricaria discoidea",
 "Country is Latvia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 146 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004870-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qp2p4s
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aethionema transhyrcanum"
 ]
}

 The dataset includes 20 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004871-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mv7v5x
title: Occurrence Download

description: A dataset containing 5920 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gammarus tigrinus",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5920 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004873-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d3m8sn
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ternstroemia crassifolia"
 ]
}

 The dataset includes 44 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004875-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pzvrdk
title: Occurrence Download

description: A dataset containing 3723 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gomphrena vermicularis"
 ]
}

 The dataset includes 3723 records from 240 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004872-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15320201
title: Galectin-3 binding free energy - synthetic inhibitor trajectories and BAR data
DOI: 10.5281/zenodo.15320202
title: Galectin-3 binding free energy - synthetic inhibitor trajectories and BAR data
DOI: 10.15156/bio/sh1396919.10fu
title: SH1396919.10FU

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/sh1396922.10fu
title: SH1396922.10FU

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/sh1396923.10fu
title: SH1396923.10FU

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/sh1396925.10fu
title: SH1396925.10FU

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/sh1396928.10fu
title: SH1396928.10FU

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/sh1396930.10fu
title: SH1396930.10FU

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/sh1396932.10fu
title: SH1396932.10FU

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: 10.5517/ccdc.csd.cc2pk69s
title: CCDC 2489185: Experimental Crystal Structure Determination

description: Related Article: Siyuan Shi, Zonglei Guo, Yanyan Li, Chengdong Wang, Hui Wang|2025|Org.Lett.|||doi:10.1021/acs.orglett.5c03922
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.
DOI: 10.5517/ccdc.csd.cc2my1f2
title: CCDC 2440984: Experimental Crystal Structure Determination

description: Related Article: Manish Kumar, Someshwar B. Kale, Subramani Jawahar, Apurva D. Barkade, Utpal Das|2025|J.Org.Chem.|||doi:10.1021/acs.joc.5c01468
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.
DOI: 10.5517/ccdc.csd.cc2m79jq
title: CCDC 2420093: Experimental Crystal Structure Determination

description: Related Article: Till Neumann, Iker Del Rosal, Laurent Maron, Erwann Jeanneau, Vincent Maurel, Serge Gambarelli, Jean-Marie Mouesca, Chloé Thieuleux, Clément Camp|2025|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c02380
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.
DOI: 10.5517/ccdc.csd.cc2pn0gv
title: CCDC 2491887: Experimental Crystal Structure Determination

description: Related Article: Longxia Jia, Hongling Liu, Weiwei Shi, Yingru Xu, Ruihan Sun, Jia Zuo, Bin Wang, Jianjian Huang, Fangrui Zhong, Dangui Wang|2025|Green Chemistry|27|13885|doi:10.1039/d5gc03912f
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.
DOI: 10.5517/ccdc.csd.cc2mp7wg
title: CCDC 2433496: Experimental Crystal Structure Determination

description: Related Article: Wei Bao, Hao Du, Shuai Shao, Zheng-Xuan Ni, Lin-Na Tian, Jia-Jia Zhao, Li-Zhuang Chen|2026|J.Mol.Struct.|1351|144377|doi:10.1016/j.molstruc.2025.144377
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.