cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1390638.10fu
title: SH1390638.10FU

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/sh1390640.10fu
title: SH1390640.10FU

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/sh1390641.10fu
title: SH1390641.10FU

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: 10.5281/zenodo.15347113
title: Data for Shinde et al. Citizen Science Data Reveals Heightened Threats to Shieldtail Snakes Than Previously Recognised

description: Data and code (R programming language) for Shinde et al. Citizen Science Data Reveals Heightened Threats to Shieldtail Snakes Than Previously Recognised.

This repository contains all data files and code used to carry out the analyses mentioned in Shinde et al. The code can be used to recalculate metrics and reproduce figures from the article. Please refer to the main text while using the repository and the code.

Data sources:

GARD 1.7 Shieldtail range maps [9 species] are a subset from Roll, U., & Meiri, S. (2022). GARD 1.7-Updated Global Distributions for all Terrestrial Reptiles [Dataset]. Dryad. published in Caetano, G. H. D. O., Chapple, D. G., Grenyer, R., Raz, T., Rosenblatt, J., Tingley, R., ... & Roll, U. (2022). Automated assessment reveals that the extinction risk of reptiles is widely underestimated across space and phylogeny. PLoS Biology, 20(5), e3001544.

IUCN Shieldtail range maps [9 species] were downloaded from the IUCN website. IUCN (2025). The IUCN Red List of Threatened Species. Version 2024-1. https://www.iucnredlist.org. Accessed on [22 March 2025].
DOI: 10.5281/zenodo.18229242
title: Data for Shinde et al. Citizen Science Data Reveals Heightened Threats to Shieldtail Snakes Than Previously Recognised

description: Data and code (R programming language) for Shinde et al. Citizen Science Data Reveals Heightened Threats to Shieldtail Snakes Than Previously Recognised.

This repository contains all data files and code used to carry out the analyses mentioned in Shinde et al. The code can be used to recalculate metrics and reproduce figures from the article. Please refer to the main text while using the repository and the code.

Data sources:

GARD 1.7 Shieldtail range maps [9 species] are a subset from Roll, U., & Meiri, S. (2022). GARD 1.7-Updated Global Distributions for all Terrestrial Reptiles [Dataset]. Dryad. published in Caetano, G. H. D. O., Chapple, D. G., Grenyer, R., Raz, T., Rosenblatt, J., Tingley, R., ... & Roll, U. (2022). Automated assessment reveals that the extinction risk of reptiles is widely underestimated across space and phylogeny. PLoS Biology, 20(5), e3001544.

IUCN Shieldtail range maps [9 species] were downloaded from the IUCN website. IUCN (2025). The IUCN Red List of Threatened Species. Version 2024-1. https://www.iucnredlist.org. Accessed on [22 March 2025].
DOI: 10.15156/bio/sh1390642.10fu
title: SH1390642.10FU

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/sh1390644.10fu
title: SH1390644.10FU

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/sh1390648.10fu
title: SH1390648.10FU

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/sh1390653.10fu
title: SH1390653.10FU

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/sh1390656.10fu
title: SH1390656.10FU

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/sh1390662.10fu
title: SH1390662.10FU

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: 10.25505/fiz.icsd.cc2prmrv
title: CSD 2495368: Experimental Crystal Structure Determination

description: Related Article: Zong-Ze Li, Yang Chi, Yu-Xuan Zhang, Ao Guo, Hui-Zhi Gao, Zheng-Ren Chen, Mao-Yin Ran, Wenlong Liu, Sheng-Ping Guo|2025|Inorg.Chem.Front.|13|1497|doi:10.1039/d5qi02216a
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: 10.5517/ccdc.csd.cc2p33fc
title: CCDC 2475642: Experimental Crystal Structure Determination

description: Related Article: Alvaro Polo, Pilar García-Orduña, Jorge Echeverría, Pablo J. Sanz Miguel|2026|Dalton Trans.|55|2825|doi:10.1039/d5dt02386f
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.cc2prmsw
title: CSD 2495369: Experimental Crystal Structure Determination

description: Related Article: Zong-Ze Li, Yang Chi, Yu-Xuan Zhang, Ao Guo, Hui-Zhi Gao, Zheng-Ren Chen, Mao-Yin Ran, Wenlong Liu, Sheng-Ping Guo|2025|Inorg.Chem.Front.|13|1497|doi:10.1039/d5qi02216a
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: 10.5517/ccdc.csd.cc2kyhrs
title: CCDC 2381846: Experimental Crystal Structure Determination

description: Related Article: Paula Brandão|2025|CSD Communication|||
description: Related Article: Marcos A. Bento, Nour el islam Belmouri, André Fernandes, David Ndrio, Guillaume Bouchez, Longhe Li, Liliana P. Ferreira, Hermínio P. Diogo, João Rocha, Francesc Viñes, Adrià Gil, Kamel Boukheddaden, Paulo N. Martinho|2025|Inorg.Chem.Front.|13|1660|doi:10.1039/d5qi01876e
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.cc2kyhqr
title: CCDC 2381845: Experimental Crystal Structure Determination

description: Related Article: Paula Brandão|2025|CSD Communication|||
description: Related Article: Marcos A. Bento, Nour el islam Belmouri, André Fernandes, David Ndrio, Guillaume Bouchez, Longhe Li, Liliana P. Ferreira, Hermínio P. Diogo, João Rocha, Francesc Viñes, Adrià Gil, Kamel Boukheddaden, Paulo N. Martinho|2025|Inorg.Chem.Front.|13|1660|doi:10.1039/d5qi01876e
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.cc2pt6sj
title: CCDC 2496888: Experimental Crystal Structure Determination

description: Related Article: Gyeong Min Park, Soohyun Lim, Sang Heon Lee, Sanha Park, Jeewhan Oh, Mi Sook Seo, Sun Hee Kim, Theodore A. Betley, Heui Beom Lee, Yunho Lee|2025|Inorg.Chem.Front.|13|1690|doi:10.1039/d5qi02144h
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.cc2pt6tk
title: CCDC 2496889: Experimental Crystal Structure Determination

description: Related Article: Gyeong Min Park, Soohyun Lim, Sang Heon Lee, Sanha Park, Jeewhan Oh, Mi Sook Seo, Sun Hee Kim, Theodore A. Betley, Heui Beom Lee, Yunho Lee|2025|Inorg.Chem.Front.|13|1690|doi:10.1039/d5qi02144h
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.cc2ptbnj
title: CCDC 2497008: Experimental Crystal Structure Determination

description: Related Article: Jogendrananda Barik, Arnab Rit|2026|Chem.Commun.|62|4131|doi:10.1039/d5cc07160g
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.cc2pt6rh
title: CCDC 2496887: Experimental Crystal Structure Determination

description: Related Article: Gyeong Min Park, Soohyun Lim, Sang Heon Lee, Sanha Park, Jeewhan Oh, Mi Sook Seo, Sun Hee Kim, Theodore A. Betley, Heui Beom Lee, Yunho Lee|2025|Inorg.Chem.Front.|13|1690|doi:10.1039/d5qi02144h
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.cc2ptbpk
title: CCDC 2497009: Experimental Crystal Structure Determination

description: Related Article: Jogendrananda Barik, Arnab Rit|2026|Chem.Commun.|62|4131|doi:10.1039/d5cc07160g
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.cc2l8b07
title: CCDC 2391278: Experimental Crystal Structure Determination

description: Related Article: Guoqi Zhang, Haiyu Mei, Amy Kanina, Marilyn Chocho, Paulina Hiyaev, Shu-Yuan Cheng, Michelle C. Neary|2026|Dalton Trans.|55|2855|doi:10.1039/d5dt02824h
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.cc2ptq4d
title: CCDC 2497364: Experimental Crystal Structure Determination

description: Related Article: Guoqi Zhang, Haiyu Mei, Amy Kanina, Marilyn Chocho, Paulina Hiyaev, Shu-Yuan Cheng, Michelle C. Neary|2026|Dalton Trans.|55|2855|doi:10.1039/d5dt02824h
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.cc2ptq5f
title: CCDC 2497365: Experimental Crystal Structure Determination

description: Related Article: Guoqi Zhang, Haiyu Mei, Amy Kanina, Marilyn Chocho, Paulina Hiyaev, Shu-Yuan Cheng, Michelle C. Neary|2026|Dalton Trans.|55|2855|doi:10.1039/d5dt02824h
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.cc2ptq6g
title: CCDC 2497366: Experimental Crystal Structure Determination

description: Related Article: Guoqi Zhang, Haiyu Mei, Amy Kanina, Marilyn Chocho, Paulina Hiyaev, Shu-Yuan Cheng, Michelle C. Neary|2026|Dalton Trans.|55|2855|doi:10.1039/d5dt02824h
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.cc2ptq7h
title: CCDC 2497367: Experimental Crystal Structure Determination

description: Related Article: Guoqi Zhang, Haiyu Mei, Amy Kanina, Marilyn Chocho, Paulina Hiyaev, Shu-Yuan Cheng, Michelle C. Neary|2026|Dalton Trans.|55|2855|doi:10.1039/d5dt02824h
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.cc2ptq8j
title: CCDC 2497368: Experimental Crystal Structure Determination

description: Related Article: Guoqi Zhang, Haiyu Mei, Amy Kanina, Marilyn Chocho, Paulina Hiyaev, Shu-Yuan Cheng, Michelle C. Neary|2026|Dalton Trans.|55|2855|doi:10.1039/d5dt02824h
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.