cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0181381.10fu
title: SH0181381.10FU

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/sh0181382.10fu
title: SH0181382.10FU

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/sh0181383.10fu
title: SH0181383.10FU

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/sh0181384.10fu
title: SH0181384.10FU

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/sh0181385.10fu
title: SH0181385.10FU

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/sh0181386.10fu
title: SH0181386.10FU

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/sh0181387.10fu
title: SH0181387.10FU

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/sh0181388.10fu
title: SH0181388.10FU

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/sh0181389.10fu
title: SH0181389.10FU

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/sh0181390.10fu
title: SH0181390.10FU

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.cc2cyvpw
title: CCDC 2203439: Experimental Crystal Structure Determination

description: Related Article: Xiuhong Pan, Qi Di, Xuesong Yang, Linfeng Lan, Hongyu Zhang|2024|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.cc2dz53p
title: CCDC 2233522: Experimental Crystal Structure Determination

description: Related Article: Zhengxin Kang|2024|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.cc2bqjvg
title: CCDC 2166616: Experimental Crystal Structure Determination

description: Related Article: Yongsheng Fang, Yuting Wu, Honghong Guo, Yusen Qiu, Xinyufei Yuan, Xing Li|2025|Org.Lett.|27|588|doi:10.1021/acs.orglett.4c04358
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.cc2gcb28
title: CCDC 2274999: Experimental Crystal Structure Determination

description: Related Article: WANG YAO|2024|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.cc2glqwp
title: CCDC 2282123: Experimental Crystal Structure Determination

description: Related Article: Kurt Merzweiler, Christoph Wagner|2024|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.cc2gv5k2
title: CCDC 2289274: Experimental Crystal Structure Determination

description: Related Article: Da Xu, Guojie Zhou, Bangli Liu, Shiqi Jia, Yidong Liu, Hailong Yan|2024|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.cc2gv5p6
title: CCDC 2289278: Experimental Crystal Structure Determination

description: Related Article: Da Xu, Guojie Zhou, Bangli Liu, Shiqi Jia, Yidong Liu, Hailong Yan|2024|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.cc2h2jhm
title: CCDC 2296340: Experimental Crystal Structure Determination

description: Related Article: Da Xu, Guojie Zhou, Bangli Liu, Shiqi Jia, Yidong Liu, Hailong Yan|2024|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.cc2hhv3z
title: CCDC 2309131: Experimental Crystal Structure Determination

description: Related Article: WANG YAO|2024|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.cc2gyfmh
title: CCDC 2292407: Experimental Crystal Structure Determination

description: Related Article: Thomas M. Brown, Monu Joy, Ashley Kent, Whalmany L. Ounkham, Mario Wriedt|2024|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.cc2hlvrq
title: CCDC 2312034: Experimental Crystal Structure Determination

description: Related Article: Joel Mague. Sanai Lahmidi|2024|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.cc2hlvsr
title: CCDC 2312035: Experimental Crystal Structure Determination

description: Related Article: Joel Mague. Sanai Lahmidi|2024|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.cc2hlw66
title: CCDC 2312048: Experimental Crystal Structure Determination

description: Related Article: Joel Mague, Sanai Lahmidi|2024|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.cc2hz05p
title: CCDC 2322742: Experimental Crystal Structure Determination

description: Related Article: Xinshu li, Kaisu Li, Ling Wang, Xin Luo, Ying Zhang, Yaoyang He, Mengru Wu, Na Sun, Mingchang Zhu|2024|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: 10.17632/bczskpmth6.1
title: Enhancing Public Service Delivery through Adaptive Multichannel Management in Northern Tunisia.

description: This study explores enhancing public service delivery in Northern Tunisia through adaptive multichannel management. It addresses the existing gaps in service accessibility and efficiency by integrating several communication channels, including digital platforms, traditional methods, and community engagement. The research identifies key challenges and opportunities for improvement by analyzing current practices and stakeholder feedback. The findings suggest that a tailored multichannel approach increases citizen engagement and fosters a more responsive and accountable public service framework. This adaptive strategy is crucial for meeting the population's diverse needs and ensuring equitable access to essential services. Ultimately, the study advocates for systematically implementing multichannel management to bridge the service delivery gap, thereby contributing to improved governance and enhanced citizen satisfaction in Northern Tunisia.
DOI: 10.15468/dl.wanbvy
title: Occurrence Download

description: A dataset containing 816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pseudobombax ellipticum (Kunth) Dugand)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 816 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016516-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/v7ym4ff28n.1
title: The homologous recombination factors BRCA2 and PALB2 interplay with mismatch repair pathways to maintain centromere stability and cell viability

description: Raw data for the paper under the same name. https://doi.org/10.1016/j.celrep.2025.115259
DOI: 10.17632/xmzc44rptr.1
title: 2022-2023 Turkısh Football League Fitness Data Set

description: This data includes the Fitness (Running and activity profile) data of the Turkish Super League in the 2022-2023 season.
DOI: 10.17632/29ny9vhrcj.1
title: Dry vs. Rainy: the seasonal response of freshwater snails in artificial reservoirs of semiarid

description: Our research aimed to investigate the seasonal distribution of freshwater gastropods, specifically Biomphalaria straminea and Melanoides tuberculata, collected from water supply reservoirs in a semi-arid region of Brazil. Our hypothesis was that the abundances of these species would exhibit seasonal variation influenced by environmental factors such as temperature and water levels throughout the dry and rainy seasons.
During the study, from 2017 to 2020, we collected 5,555 individuals of Biomphalaria straminea and 67,122 individuals of Melanoides tuberculata. Captured using standardised techniques, the data include both species abundance and age classes (juveniles and adults).
Our results revealed a significant seasonal distribution for Biomphalaria straminea, with higher abundances observed during the dry season. In contrast, Melanoides tuberculata showed stable populations throughout the study, with no significant correlation with environmental variables. Temperature and seasonal changes had a greater influence on the abundances of Biomphalaria straminea compared to Melanoides tuberculata.
These findings support our hypotheses regarding the reproductive strategies of these species. Biomphalaria straminea, known for self-fertilisation, exhibited a higher proportion of juveniles concentrated during the dry season. On the other hand, Melanoides tuberculata, which reproduces through parthenogenesis, maintained stable populations regardless of environmental conditions.
DOI: 10.17632/hsmjtmypxk.1
title: Utilizing Watershed Analysis of Optical Coherence Tomography Images to Characterize Capillary Malformations - Supplemental Figures and Tables

description: Utilizing Watershed Analysis of Optical Coherence Tomography Images to Characterize Capillary Malformations - Supplemental Figures and Tables for JAAD publication.
DOI: 10.15468/dl.as7zm8
title: Occurrence Download

description: A dataset containing 2787 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sibon nebulatus (Linnaeus, 1758)"
 ]
}

 The dataset includes 2787 records from 175 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016517-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.