cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7em4jq
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Gynocardia odorata"
 ]
}

 The dataset includes 15 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002083-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18397296
title: Supplementary_data_trees
DOI: 10.15468/dl.hkn4hu
title: Occurrence Download

description: A dataset containing 9233 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dacrydium"
 ]
}

 The dataset includes 9233 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002082-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18534187
title: COVID-19-Todesfälle in Deutschland

description: Im Datensatz "COVID-19-Todesfälle in Deutschland" des Robert Koch-Instituts werden täglich aktualisierte Informationen zu COVID-19-bedingten Todesfällen in Deutschland bereitgestellt. Die Datenerhebung erfolgt im Rahmen des Infektionsschutzgesetzes (IfSG). Der Datensatz umfasst aggregierte Todesfallzahlen nach Berichtsdatum, Altersgruppen und Bundesländern und wird ergänzt durch den Fall-Verstorbenen-Anteil. Der Datensatz ermöglicht fundierte Analysen zur Bewertung der Krankheitsschwere und Verbreitung von COVID-19 in Deutschland.
DOI: 10.5281/zenodo.18534188
title: 7-Tage-Inzidenz der COVID-19-Fälle in Deutschland

description: Im Datensatz "7-Tage-Inzidenz der COVID-19-Fälle in Deutschland" des Robert Koch-Instituts werden die täglich aktualisierten COVID-19-Inzidenzen auf Bundes-, Landes- und Landkreisebene basierend auf den Meldungen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Die 7-Tage-Inzidenz wird definiert als Anzahl gemeldeter Fälle der letzten sieben Tage pro 100.000 Einwohner:innen und differenziert nach Altersgruppen und Regionen. Die Datenverarbeitung erfolgt vollständig elektronisch über das Deutsche Elektronische Melde- und Informationssystem (DEMIS).
DOI: 10.15468/dl.ma3ek3
title: Occurrence Download

description: A dataset containing 265924 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anchoa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 265924 records from 231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002065-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18534189
title: THE IMPORTANCE OF WATER IN THE GROWTH AND DEVELOPMENT OF YOUNG ADOLESCENTS AND CHILDREN

description: The importance of drinking water in the comprehensive growth and development of young children and adolescents, their ability to resist both positive and negative environmental influences, and the proper growth and development of the body.
DOI: 10.5281/zenodo.18534190
title: THE IMPORTANCE OF WATER IN THE GROWTH AND DEVELOPMENT OF YOUNG ADOLESCENTS AND CHILDREN

description: The importance of drinking water in the comprehensive growth and development of young children and adolescents, their ability to resist both positive and negative environmental influences, and the proper growth and development of the body.
DOI: 10.5281/zenodo.17823607
title: LINDTIE Reference Dataset: Human hg38 + CHESS v3.0 + Viral reference

description: This dataset contains compressed archives of pre-built human reference files (derived from hg38 and CHESS v3.0) merged with viral references (including HTLV1, HPV, HBV, HIV1, HIV2, EBV), and the processed COSMIC database required to run the LINDTIE aberrant transcript variant caller.

The tar archive includes the seven reference files used by LINDTIE:



chess3.0_with_HTLV1_HPV_HBV_HIV1_HIV2_EBV.fa

chess3.0_with_HTLV1_HPV_HBV_HIV1_HIV2_EBV.gtf

chess3.0_with_HTLV1_HPV_HBV_HIV1_HIV2_EBV.info

Cosmic_CancerGeneCensus_v103_GRCh38_tier_fusion.tsv

hg38_splice_junctions.bed

hg38_with_HTLV1_HPV_HBV_HIV1_HIV2_EBV.fa

tx2gene.txt


After downloading, extract the tar file; this will create a ref directory containing all the required reference files. Move or place the ref directory into the LINDTIE base directory.
DOI: 10.5281/zenodo.18531809
title: LINDTIE Reference Dataset: Human hg38 + CHESS v3.0 + Viral reference

description: This dataset contains compressed archives of pre-built human reference files (derived from hg38 and CHESS v3.0) merged with viral references (including HTLV1, HPV, HBV, HIV1, HIV2, EBV), and the processed COSMIC database required to run the LINDTIE aberrant transcript variant caller.

The tar archive includes the seven reference files used by LINDTIE:



chess3.0_with_HTLV1_HPV_HBV_HIV1_HIV2_EBV.fa

chess3.0_with_HTLV1_HPV_HBV_HIV1_HIV2_EBV.gtf

chess3.0_with_HTLV1_HPV_HBV_HIV1_HIV2_EBV.info

Cosmic_CancerGeneCensus_v103_GRCh38_tier_fusion.tsv

hg38_splice_junctions.bed

hg38_with_HTLV1_HPV_HBV_HIV1_HIV2_EBV.fa

tx2gene.txt


After downloading, extract the tar file; this will create a ref directory containing all the required reference files. Move or place the ref directory into the LINDTIE base directory.
DOI: 10.15468/dl.eqrbqm
title: Occurrence Download

description: A dataset containing 1916 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Grus nigricollis",
 "Year 2005-2025"
 ]
}

 The dataset includes 1916 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002085-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3wqmwa
title: Occurrence Download

description: A dataset containing 1075205 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 41.89415215079384
 AND decimallatitude &lt;= 46.479780028101516
 AND decimallongitude &gt;= -132.18235992772037
 AND decimallongitude &lt;= -119.88149504725064
 AND GBIF_Within('POLYGON ((-119.881495 41.894152, -119.881495 46.479780, -132.182360 46.479780, -132.182360 41.894152, -119.881495 41.894152))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 1075205 records were derived from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002080-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71853/2q0q-m840
title: PDB structures of the sulfated infernan for the publication "Modeling highly sulfated Infernan"

description: <p>Sulfated infernan monomer, dimer and trimer structures for the MD simulations used in the publication https://doi.org/10.1016/j.carres.2025.109759</p>
DOI: 10.15468/dl.2dzuhk
title: Occurrence Download

description: A dataset containing 123213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bubo bubo",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is 2002,2025"
 ]
}

 The dataset includes 123213 records from 644 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002071-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vccyyy
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is China",
 "TaxonKey is Nuphar pumila"
 ]
}

 The dataset includes 126 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002086-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2pxpv5
title: CCDC 2500238: Experimental Crystal Structure Determination

description: Related Article: Wei Dou, Beining Shi, Xiaoxiang Fan, Jinzhong Gu, Marina V. Kirillova, Alexander M. Kirillov|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c05274
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.cc2pxpw6
title: CCDC 2500239: Experimental Crystal Structure Determination

description: Related Article: Wei Dou, Beining Shi, Xiaoxiang Fan, Jinzhong Gu, Marina V. Kirillova, Alexander M. Kirillov|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c05274
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.cc2pxpx7
title: CCDC 2500240: Experimental Crystal Structure Determination

description: Related Article: Wei Dou, Beining Shi, Xiaoxiang Fan, Jinzhong Gu, Marina V. Kirillova, Alexander M. Kirillov|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c05274
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.cc2pxpy8
title: CCDC 2500241: Experimental Crystal Structure Determination

description: Related Article: Wei Dou, Beining Shi, Xiaoxiang Fan, Jinzhong Gu, Marina V. Kirillova, Alexander M. Kirillov|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c05274
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.cc2pxpz9
title: CCDC 2500242: Experimental Crystal Structure Determination

description: Related Article: Wei Dou, Beining Shi, Xiaoxiang Fan, Jinzhong Gu, Marina V. Kirillova, Alexander M. Kirillov|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c05274
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.cc2pxq0c
title: CCDC 2500243: Experimental Crystal Structure Determination

description: Related Article: Wei Dou, Beining Shi, Xiaoxiang Fan, Jinzhong Gu, Marina V. Kirillova, Alexander M. Kirillov|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c05274
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.cc2pxq1d
title: CCDC 2500244: Experimental Crystal Structure Determination

description: Related Article: Wei Dou, Beining Shi, Xiaoxiang Fan, Jinzhong Gu, Marina V. Kirillova, Alexander M. Kirillov|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c05274
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.cc2pxq2f
title: CCDC 2500245: Experimental Crystal Structure Determination

description: Related Article: Wei Dou, Beining Shi, Xiaoxiang Fan, Jinzhong Gu, Marina V. Kirillova, Alexander M. Kirillov|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c05274
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.cc2q2flv
title: CCDC 2504787: Experimental Crystal Structure Determination

description: Related Article: Aleksandra Kowalska, Łukasz Szeleszczuk, Kostas Bethanis, Elias Christoforides, Marta K. Dudek, Monika Zielińska-Pisklak, Dariusz Maciej Pisklak||J.Mol.Struct.|||doi:10.1016/j.molstruc.2026.145607
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.cc2qwpcp
title: CCDC 2529053: Experimental Crystal Structure Determination

description: Related Article: Heinemann, F. W., Huguet Torrell, S., Zenneck, U.|2026|CSD Communication|||
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.cc2qwrhw
title: CCDC 2529119: Experimental Crystal Structure Determination

description: Related Article: J. T. Mague, S. M. Grayson|2026|CSD Communication|||
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: 10.71853/5ggw-2t69
title: Starting structures for publication "Molecular dynamics insights into glycosaminoglycan effects on the extracellular domains of syndecan 2 and 4 dimers"

description: <p>Syndecan 2 and 4 non-glycosylated and glycosylated PDB structures used as starting points for the MD simulations in the publication https://doi.org/10.1016/j.carres.2025.109690</p>
DOI: 10.15468/dl.fks2hg
title: Occurrence Download

description: A dataset containing 107455 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Amaranthus retroflexus"
 ]
}

 The dataset includes 107455 records from 1180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002075-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0166242.10fu
title: SH0166242.10FU

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/sh0166243.10fu
title: SH0166243.10FU

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/sh0166244.10fu
title: SH0166244.10FU

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/sh0166245.10fu
title: SH0166245.10FU

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.xdbfwd
title: Occurrence Download

description: A dataset containing 272469 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Astragalus alpinus, Bartsia alpina, Betula nana)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 272469 records from 531 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001236-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0166246.10fu
title: SH0166246.10FU

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.