cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1382840.10fu
title: SH1382840.10FU

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/sh1382841.10fu
title: SH1382841.10FU

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/sh1382842.10fu
title: SH1382842.10FU

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/sh1382844.10fu
title: SH1382844.10FU

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/sh1382849.10fu
title: SH1382849.10FU

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/sh1382850.10fu
title: SH1382850.10FU

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/sh1382852.10fu
title: SH1382852.10FU

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/sh1382859.10fu
title: SH1382859.10FU

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/sh1382861.10fu
title: SH1382861.10FU

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/sh1382863.10fu
title: SH1382863.10FU

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.17775912
title: Planting food forests can increase soil biodiversity in agricultural landscapes of Northwest Europe

description: This is the dataset used for the analyses in the paper "Planting food forests can increase soil biodiversity in agricultural landscapes of Northwest Europe" published in npj Biodiversity (doi: 10.1038/s44185-026-00125-w). It contains all necessary files to conduct the analyses on the total biomass or number of individuals, alpha-diversity, community composition and beta-diversity of bacteria, non-arbuscular mycorrhizal fungi, arbuscular mycorrhizal fungi, protists, nematodes, springtails, mites, isopods, millipedes, centipedes, harvestmen, carabids and earthworms presented in the publication.

The R-scripts used to process and analyse the data (along with some information on the files) can be found at https://github.com/MLieke/soil-biodiversity-food-forests
DOI: 10.5517/ccdc.csd.cc2kf6dm
title: CCDC 2366180: Experimental Crystal Structure Determination

description: Related Article: Tatsuya Higaki, Kanata Tanaka, Hitoshi Izu, Shunya Oishi, Koki Kawamoto, Mizuki Tada, W. M. C. Sameera, Ryo Takahata, Toshiharu Teranishi, Soichi Kikkawa, Seiji Yamazoe, Takuya Shiga, Masayuki Nihei, Tatsuhisa Kato, Roger E. Cramer, Zihan Zhang, Karsten Meyer, Yasuhiro Ohki|2025|J.Am.Chem.Soc.|147|3215|doi:10.1021/jacs.4c12759
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: 10.5281/zenodo.17775911
title: Planting food forests can increase soil biodiversity in agricultural landscapes of Northwest Europe

description: This is the dataset used for the analyses in the paper "Planting food forests can increase soil biodiversity in agricultural landscapes of Northwest Europe" published in npj Biodiversity (doi: 10.1038/s44185-026-00125-w). It contains all necessary files to conduct the analyses on the total biomass or number of individuals, alpha-diversity, community composition and beta-diversity of bacteria, non-arbuscular mycorrhizal fungi, arbuscular mycorrhizal fungi, protists, nematodes, springtails, mites, isopods, millipedes, centipedes, harvestmen, carabids and earthworms presented in the publication.

The R-scripts used to process and analyse the data (along with some information on the files) can be found at https://github.com/MLieke/soil-biodiversity-food-forests
DOI: 10.5517/ccdc.csd.cc2kf6fn
title: CCDC 2366181: Experimental Crystal Structure Determination

description: Related Article: Tatsuya Higaki, Kanata Tanaka, Hitoshi Izu, Shunya Oishi, Koki Kawamoto, Mizuki Tada, W. M. C. Sameera, Ryo Takahata, Toshiharu Teranishi, Soichi Kikkawa, Seiji Yamazoe, Takuya Shiga, Masayuki Nihei, Tatsuhisa Kato, Roger E. Cramer, Zihan Zhang, Karsten Meyer, Yasuhiro Ohki|2025|J.Am.Chem.Soc.|147|3215|doi:10.1021/jacs.4c12759
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.cc2ldn5v
title: CCDC 2395437: Experimental Crystal Structure Determination

description: Related Article: Christos P. Constantinides, Andrey A. Berezin, Gerard Estiva Flores, Brayden Early, Georgia A. Zissimou, Dragos F. Flesariu, Daniel B. Lawson, Maria Manoli, Gregory Leitus, Panayiotis A. Koutentis|2025|Cryst.Growth Des.|25|1164|doi:10.1021/acs.cgd.4c01508
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.cc2mcwnk
title: CCDC 2424499: Experimental Crystal Structure Determination

description: Related Article: Juefei Dai, Chuanhua Shi, Zhixun Zhang, Yan Nong, Chenchen Feng, Xianyong Yu, Chao Yang, Xueji Zhang, Huayan Yang|2025|J.Cluster Sci.|36|67|doi:10.1007/s10876-025-02789-z
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.cc2mcwpl
title: CCDC 2424500: Experimental Crystal Structure Determination

description: Related Article: Juefei Dai, Chuanhua Shi, Zhixun Zhang, Yan Nong, Chenchen Feng, Xianyong Yu, Chao Yang, Xueji Zhang, Huayan Yang|2025|J.Cluster Sci.|36|67|doi:10.1007/s10876-025-02789-z
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.cc2mcwqm
title: CCDC 2424501: Experimental Crystal Structure Determination

description: Related Article: Juefei Dai, Chuanhua Shi, Zhixun Zhang, Yan Nong, Chenchen Feng, Xianyong Yu, Chao Yang, Xueji Zhang, Huayan Yang|2025|J.Cluster Sci.|36|67|doi:10.1007/s10876-025-02789-z
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.cc2mcwrn
title: CCDC 2424502: Experimental Crystal Structure Determination

description: Related Article: Juefei Dai, Chuanhua Shi, Zhixun Zhang, Yan Nong, Chenchen Feng, Xianyong Yu, Chao Yang, Xueji Zhang, Huayan Yang|2025|J.Cluster Sci.|36|67|doi:10.1007/s10876-025-02789-z
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.cc2mcwsp
title: CCDC 2424503: Experimental Crystal Structure Determination

description: Related Article: Juefei Dai, Chuanhua Shi, Zhixun Zhang, Yan Nong, Chenchen Feng, Xianyong Yu, Chao Yang, Xueji Zhang, Huayan Yang|2025|J.Cluster Sci.|36|67|doi:10.1007/s10876-025-02789-z
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.cc2mcwtq
title: CCDC 2424504: Experimental Crystal Structure Determination

description: Related Article: Juefei Dai, Chuanhua Shi, Zhixun Zhang, Yan Nong, Chenchen Feng, Xianyong Yu, Chao Yang, Xueji Zhang, Huayan Yang|2025|J.Cluster Sci.|36|67|doi:10.1007/s10876-025-02789-z
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.cc2n1zb1
title: CCDC 2444763: Experimental Crystal Structure Determination

description: Related Article: Jiahao Zhang, Chaoren Shen, Zheng Huang, Kaiwu Dong|2026|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c16930
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.cc2n5pk3
title: CCDC 2448335: Experimental Crystal Structure Determination

description: Related Article: Ku Kajikawa, Francisco A. Martins, Ryo Murata, Eiichi Kayahara, Shigeru Yamago, Judy I. Wu, Manabu Abe|2026|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c20997
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: 10.15468/dl.w8kxd6
title: Occurrence Download

description: A dataset containing 15258 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "CoordinateUncertaintyInMeters 0.0-5000.0",
 "Issue is one of (Zero coordinate, Coordinate out of range, Coordinate invalid, Coordinate rounded, Geodetic datum invalid, Geodetic datum assumed WGS84, Coordinate reprojected, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate accuracy invalid, Coordinate uncertainty meters invalid, Coordinate precision/uncertainty mismatch, Footprint SRS invalid, Footprint WKT mismatch, Footprint WKT invalid, Country mismatch, Country invalid, Country derived from coordinates, Continent coordinate mismatch, Continent country mismatch, Continent invalid, Continent derived from country, Continent derived from coordinates, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Recorded date mismatch, Recorded date invalid, Recorded date unlikely, Taxon match fuzzy, Taxon match higher rank, Taxon match aggregate, The scientific name ID was not used in backbone matching, The taxon concept ID was not used in backbone matching, The taxon ID was not used in backbone matching, The scientific name ID was not found in the checklist, The taxon concept ID was not found in the checklist, The taxon ID was not found in the checklist, The scientific name differs on the record from that found in the checklist, Taxon match none, The backbone match found using the taxon IDs differs from what would be found if using the scientific names, Depth not metric, Depth unlikely, Depth min max swapped, Depth non numeric, Elevation unlikely, Elevation min max swapped, Elevation not metric, Elevation non numeric, Modified date invalid, Modified date unlikely, Identified date unlikely, Identified date invalid, Basis of record invalid, Type status invalid, Multimedia date invalid, Multimedia URI invalid, References URI invalid, Error during interpretation, Individual count invalid, Individual count conflicts with occurrence status, Occurrence status unparsable, Occurrence status inferred from individual count, Occurrence status inferred from basis of record, Georeferenced date unlikely, Georeferenced date invalid, Ambiguous institution, Ambiguous collection, Institution match none, Collection match none, Institution match fuzzy, Collection match fuzzy, Institution collection mismatch, Possibly on loan)",
 "OccurrenceStatus is Present",
 "TaxonKey is Metrioptera brachyptera"
 ]
}

 The dataset includes 15258 records from 162 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024039-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.