cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1070062.10fu
title: SH1070062.10FU

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/sh1070063.10fu
title: SH1070063.10FU

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/sh1070067.10fu
title: SH1070067.10FU

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/sh1070068.10fu
title: SH1070068.10FU

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/sh1070069.10fu
title: SH1070069.10FU

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/sh1070073.10fu
title: SH1070073.10FU

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/sh1070074.10fu
title: SH1070074.10FU

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: 10.48579/pro/wzqd5r
title: Campagne acoustique Roscoff Juin 2023

description: Le projet ACaPELA (ACoustique PELagique) est un projet porté par le MNHN (Station marine de Dinard) et réalisé en collaboration avec l’IRD (UMR LEMAR) et PatriNat (OFB-CNRS-MNHN). Ce projet R&D a pour objectif de développer et valider la méthodologie de surveillance DCSMM pour l’évaluation de l’état écologique des populations et peuplements de poissons et céphalopodes (PCs) des milieux pélagiques côtiers, c’est-à-dire les espèces pélagiques ou bentho-pélagiques fréquentant la colonne d’eau (le pelagos) dans les zones dont la bathymétrie est comprise entre 0 et 40 m (zones dites côtières). Les protocoles d’échantillonnages proposés consistent à combiner l’utilisation de deux technologies d’acoustiques actives complémentaires, orientées verticalement : un sondeur large bande (Simrad EK80, 70, 120 et 200 kHz) et un sonar multifaisceaux (Simrad M3, 500 kHz). Cette campagne a été réalisée dans le cadre du projet ACaPELA, en Juin 2023, à bord du bateau de station Néomysis. Cette campagne a permis de réaliser des radiales acoustiques en baie de Morlaix, au départ de Roscoff, avec un focus sur les zones de petits fonds et le gradient côte-large. Ces enregistrements ont été complétés avec des enregistrements CTD (Conductivity-Depth-Temperature) à des points clefs identifiés au préalables.
DOI: 10.15468/dl.fsbeht
title: Occurrence Download

description: A dataset containing 5350 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Thalasseus maximus (Boddaert, 1783)"
 ]
}

 The dataset includes 5350 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000326-250310093411724/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.cc2bq0rv
title: CCDC 2166117: Experimental Crystal Structure Determination

description: Related Article: Michael J. Stopper, Akachukwu D. Obi, Haleigh R. Machost, Noah D. McMillion, Andrew Molino, Emma N. Cook, Asa W. Nichols, Lucas A. Freeman, Sarah G. Stegner, Diane A. Dickie, David J. D. Wilson, Charles W. Machan, Robert J. Gilliard|2025|Inorg.Chem.|64|3875|doi:10.1021/acs.inorgchem.4c05030
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.cc2bq0z2
title: CCDC 2166124: Experimental Crystal Structure Determination

description: Related Article: Michael J. Stopper, Akachukwu D. Obi, Haleigh R. Machost, Noah D. McMillion, Andrew Molino, Emma N. Cook, Asa W. Nichols, Lucas A. Freeman, Sarah G. Stegner, Diane A. Dickie, David J. D. Wilson, Charles W. Machan, Robert J. Gilliard|2025|Inorg.Chem.|64|3875|doi:10.1021/acs.inorgchem.4c05030
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.cc2llq31
title: CCDC 2401263: Experimental Crystal Structure Determination

description: Related Article: Michael J. Stopper, Akachukwu D. Obi, Haleigh R. Machost, Noah D. McMillion, Andrew Molino, Emma N. Cook, Asa W. Nichols, Lucas A. Freeman, Sarah G. Stegner, Diane A. Dickie, David J. D. Wilson, Charles W. Machan, Robert J. Gilliard|2025|Inorg.Chem.|64|3875|doi:10.1021/acs.inorgchem.4c05030
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.cc2llq53
title: CCDC 2401265: Experimental Crystal Structure Determination

description: Related Article: Michael J. Stopper, Akachukwu D. Obi, Haleigh R. Machost, Noah D. McMillion, Andrew Molino, Emma N. Cook, Asa W. Nichols, Lucas A. Freeman, Sarah G. Stegner, Diane A. Dickie, David J. D. Wilson, Charles W. Machan, Robert J. Gilliard|2025|Inorg.Chem.|64|3875|doi:10.1021/acs.inorgchem.4c05030
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: 10.25505/fiz.icsd.cc2js43l
title: CSD 2346889: Experimental Crystal Structure Determination

description: Related Article: Haribrahma Singh|2024|ICSD Communication|||
description: Related Article: Haribrahma Singh|2025|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.14989766
title: Dataset: Photocontrol of Bacterial Membrane Potential Regulates Antibiotic Persistence in B. subtilis
DOI: 10.5281/zenodo.14989767
title: Dataset: Photocontrol of Bacterial Membrane Potential Regulates Antibiotic Persistence in B. subtilis
DOI: 10.5517/ccdc.csd.cc2jplpj
title: CCDC 2344458: Experimental Crystal Structure Determination

description: Related Article: Michael J. Stopper, Akachukwu D. Obi, Haleigh R. Machost, Noah D. McMillion, Andrew Molino, Emma N. Cook, Asa W. Nichols, Lucas A. Freeman, Sarah G. Stegner, Diane A. Dickie, David J. D. Wilson, Charles W. Machan, Robert J. Gilliard|2025|Inorg.Chem.|64|3875|doi:10.1021/acs.inorgchem.4c05030
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: 10.57680/asep.0570660
title: OpenData Bednyakov PRB 110 (2024)

description: The data provides numerical values to the graphs in the article: P. S. Bednyakov, P. V. Yudin, A. K. Tagantsev, and J. Hlinka, Paradoxical creation of a polydomain pattern by electric field in BaTiO3 crystal, Phys. Rev. B 110, 214107 (2024). More details are available in the README.txt file.
DOI: 10.15468/dl.eqxku2
title: Occurrence Download

description: A dataset containing 8922 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elaeis guineensis Jacq."
 ]
}

 The dataset includes 8922 records from 301 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000325-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e130362v1
title: Data and Code for: Long-term effects of the Targeting the Ultra Poor Program

description: This deposit provides replication data and code for the paper "Long-term Effects of the Targeting the Ultra Poor Program". It includes data from all five survey waves (baseline, 18 months, 3 years, 7 years, and 10 years) that track outcomes among treated and control households in a randomized controlled trial of the TUP program in West Bengal, India.
DOI: 10.3886/e130362
title: Data and Code for: Long-term effects of the Targeting the Ultra Poor Program

description: This deposit provides replication data and code for the paper "Long-term Effects of the Targeting the Ultra Poor Program". It includes data from all five survey waves (baseline, 18 months, 3 years, 7 years, and 10 years) that track outcomes among treated and control households in a randomized controlled trial of the TUP program in West Bengal, India.
DOI: 10.3886/e130362v2
title: Data and Code for: Long-term effects of the Targeting the Ultra Poor Program

description: This deposit provides replication data and code for the paper "Long-term Effects of the Targeting the Ultra Poor Program". It includes data from all five survey waves (baseline, 18 months, 3 years, 7 years, and 10 years) that track outcomes among treated and control households in a randomized controlled trial of the TUP program in West Bengal, India.
DOI: 10.15468/dl.2257sa
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trichomasthus albimanus Thomson, 1876",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000328-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14999774
title: ampelosycios_bosseri_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.14999775
title: ampelosycios_bosseri_zanfona_1.fasta.gz
DOI: 10.15468/dl.v77pcm
title: Occurrence Download

description: A dataset containing 307 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((6.26167 44.62461,6.95148 44.62461,6.95148 45.20007,6.26167 45.20007,6.26167 44.62461))",
 "HasCoordinate is true",
 "TaxonKey is Anthocharis euphenoides Staudinger, 1869"
 ]
}

 The dataset includes 307 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000329-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wkss4h
title: Occurrence Download

description: A dataset containing 4150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abies alba Mill.)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1900",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 4150 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000330-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14999560
title: Dataset related to article "In-Silico Identification of Novel Pharmacological Synergisms: The Trabectedin Case".

description: This record contains raw data related to article "In-Silico Identification of Novel Pharmacological Synergisms: The Trabectedin Case".

Abstrac

The in-silico strategy of identifying novel uses for already existing drugs, known as drug repositioning, has enhanced drug discovery. Previous studies have shown a positive correlation between expression changes induced by the anticancer agent trabectedin and those caused by irinotecan, a topoisomerase I inhibitor. Leveraging the availability of transcriptional datasets, we developed a general in-silico drug-repositioning approach that we applied to investigate novel trabectedin synergisms. We set a workflow allowing the identification of genes selectively modulated by a drug and possible novel drug interactions. To show its effectiveness, we selected trabectedin as a case-study drug. We retrieved eight transcriptional cancer datasets including controls and samples treated with trabectedin or its analog lurbinectedin. We compared gene signature associated with each dataset to the 476,251 signatures from the Connectivity Map database. The most significant connections referred to mitomycin-c, topoisomerase II inhibitors, a PKC inhibitor, a Chk1 inhibitor, an antifungal agent, and an antagonist of the glutamate receptor. Genes coherently modulated by the drugs were involved in cell cycle, PPARalpha, and Rho GTPases pathways. Our in-silico approach for drug synergism identification showed that trabectedin modulates specific pathways that are shared with other drugs, suggesting possible synergisms.
DOI: 10.5281/zenodo.14999561
title: Dataset related to article "In-Silico Identification of Novel Pharmacological Synergisms: The Trabectedin Case".

description: This record contains raw data related to article "In-Silico Identification of Novel Pharmacological Synergisms: The Trabectedin Case".

Abstrac

The in-silico strategy of identifying novel uses for already existing drugs, known as drug repositioning, has enhanced drug discovery. Previous studies have shown a positive correlation between expression changes induced by the anticancer agent trabectedin and those caused by irinotecan, a topoisomerase I inhibitor. Leveraging the availability of transcriptional datasets, we developed a general in-silico drug-repositioning approach that we applied to investigate novel trabectedin synergisms. We set a workflow allowing the identification of genes selectively modulated by a drug and possible novel drug interactions. To show its effectiveness, we selected trabectedin as a case-study drug. We retrieved eight transcriptional cancer datasets including controls and samples treated with trabectedin or its analog lurbinectedin. We compared gene signature associated with each dataset to the 476,251 signatures from the Connectivity Map database. The most significant connections referred to mitomycin-c, topoisomerase II inhibitors, a PKC inhibitor, a Chk1 inhibitor, an antifungal agent, and an antagonist of the glutamate receptor. Genes coherently modulated by the drugs were involved in cell cycle, PPARalpha, and Rho GTPases pathways. Our in-silico approach for drug synergism identification showed that trabectedin modulates specific pathways that are shared with other drugs, suggesting possible synergisms.
DOI: 10.15468/dl.ehwag3
title: Occurrence Download

description: A dataset containing 77144 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((-58.80843 5.59891,84.80843 5.59891,84.80843 75.40109,-58.80843 75.40109,-58.80843 5.59891))",
 "Geometry POLYGON((-6.66196 38.74751,-6.06052 38.74751,-6.06052 39.08267,-6.66196 39.08267,-6.66196 38.74751))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Himantoglossum robertianum (Loisel.) P.Delforge"
 ]
}

 The dataset includes 77144 records from 403 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000305-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28565639
title: nano-antibody and peptide topology

description: Nb60, Nb65 and peptide 6 topology
DOI: 10.15468/dl.mfr6an
title: Occurrence Download

description: A dataset listing the 157 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Wetlands (Essonne)"
 ]
}

 The dataset's 157 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000320-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.