cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cczjvjv
title: CCDC 909928: Experimental Crystal Structure Determination

description: Related Article: R.A.Baillie, T.Tran, K.M.Lalonde, J.Y.K.Tsang, M.E.Thibault, B.O.Patrick, P.Legzdins|2012|Organometallics|31|1055|doi:10.1021/om201133r
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/cczjvkw
title: CCDC 909929: Experimental Crystal Structure Determination

description: Related Article: Y.Hayashi, S.Wada, M.Yamashita, K.Nozaki|2012|Organometallics|31|1073|doi:10.1021/om201142s
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/cczjvlx
title: CCDC 909930: Experimental Crystal Structure Determination

description: Related Article: Y.Hayashi, S.Wada, M.Yamashita, K.Nozaki|2012|Organometallics|31|1073|doi:10.1021/om201142s
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/cczjvmy
title: CCDC 909931: Experimental Crystal Structure Determination

description: Related Article: Y.Hayashi, S.Wada, M.Yamashita, K.Nozaki|2012|Organometallics|31|1073|doi:10.1021/om201142s
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/cczjvnz
title: CCDC 909932: Experimental Crystal Structure Determination

description: Related Article: Y.Hayashi, S.Wada, M.Yamashita, K.Nozaki|2012|Organometallics|31|1073|doi:10.1021/om201142s
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/cczjvp0
title: CCDC 909933: Experimental Crystal Structure Determination

description: Related Article: Y.Hayashi, S.Wada, M.Yamashita, K.Nozaki|2012|Organometallics|31|1073|doi:10.1021/om201142s
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/cczjvq1
title: CCDC 909934: Experimental Crystal Structure Determination

description: Related Article: Y.Hayashi, S.Wada, M.Yamashita, K.Nozaki|2012|Organometallics|31|1073|doi:10.1021/om201142s
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/cczjvr2
title: CCDC 909935: Experimental Crystal Structure Determination

description: Related Article: D.Chouffai, G.Zampella, J.-F.Capon, L.De Gioia, A.Le Goff, F.Y.Petillon, P.Schollhammer, J.Talarmin|2012|Organometallics|31|1082|doi:10.1021/om201143p
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/ccxkp48
title: CCDC 851140: Experimental Crystal Structure Determination

description: Related Article: D.A.Addy, N.Phillips, G.A.Pierce, D.Vidovic, T.Kramer, D.Mallick, E.D.Jemmis, G.Reid, S.Aldridge|2012|Organometallics|31|1092|doi:10.1021/om201144e
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.14201925
title: THE HYBRID HISTORY OF ZEBRAFISH

description: This repository contains files associated with the manuscript titled "The Hybrid History of Zebrafish" by Braedan M. McCluskey, Peter Batzel, and John H. Postlethwait. In addition to code used during the analysis, this repository contains the multiple sequence alignment used for phylogenetic inference (geno.phy), the resulting phylogeny inferred by RAxML (RAxML_bipartitionsBranchLabels.geno), the genotypes called for each species (geno.vcf.gz), and the genotypes called for 12 zebrafish samples from previous studies (DrerioRAD_12Samples.vcf.gz).
DOI: 10.5281/zenodo.14201926
title: THE HYBRID HISTORY OF ZEBRAFISH

description: This repository contains files associated with the manuscript titled "The Hybrid History of Zebrafish" by Braedan M. McCluskey, Peter Batzel, and John H. Postlethwait. In addition to code used during the analysis, this repository contains the multiple sequence alignment used for phylogenetic inference (geno.phy), the resulting phylogeny inferred by RAxML (RAxML_bipartitionsBranchLabels.geno), the genotypes called for each species (geno.vcf.gz), and the genotypes called for 12 zebrafish samples from previous studies (DrerioRAD_12Samples.vcf.gz).
DOI: 10.15468/dl.etyp95
title: Occurrence Download

description: A dataset containing 1408 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-106.50564 65.30778,161.69089 65.30778,161.69089 84.41217,-106.50564 84.41217,-106.50564 65.30778))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rangifer tarandus tarandus"
 ]
}

 The dataset includes 1408 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000833-241126133413365/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.cc2hm6s4
title: CCDC 2312376: Experimental Crystal Structure Determination

description: Related Article: Chen-yu Yang, Ke-liang Chen, Yang Liu, Xing-bao Jia, Cheng Yi, Yu-wei Niu, Ya-nan Tian, Yun-bao Liu|2024|Fitoterapia|179|106262|doi:10.1016/j.fitote.2024.106262
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.cc2hmzjn
title: CCDC 2313112: Experimental Crystal Structure Determination

description: Related Article: Manoj Kumar, Shubham Singh, Parthasarathi Subramanian|2024|Chem.Commun.|60|12860|doi:10.1039/D4CC03031A
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.cc2hnkb2
title: CCDC 2313664: Experimental Crystal Structure Determination

description: Related Article: Richard Chlebík, Csilla Fekete, Roman Jambor, Aleš Růžička, Zoltán Benkő, Libor Dostál|2024|Dalton Trans.|53|17721|doi:10.1039/D4DT02787F
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.cc2hntqq
title: CCDC 2313924: Experimental Crystal Structure Determination

description: Related Article: Cory H. Rogers, Anu Pradeep, Layla A. Galiano, S. Ariel Kelley, Ramkumar Varadharajan, Ken Belmore, Logan M. Whitt, Yanmei Li, Pier Alexandre Champagne, Vaidhyanathan Ramamurthy, Silas C. Blackstock|2024|Chem.Comm.(London)|60|13899|doi:10.1039/D4CC03955F
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.emu54h
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anoplophora glabripennis (Motschulsky, 1854)",
 "Country is United States of America",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 53 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000834-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4wsjzc
title: Occurrence Download

description: A dataset containing 58671638 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Human Observation)",
 "Continent is Africa"
 ]
}

 The dataset includes 58671638 records from 1590 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000831-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.77q4sj
title: Occurrence Download

description: A dataset containing 616848 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "GadmGid is USA.18.34_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 616848 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000832-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.252qcd
title: Occurrence Download

description: A dataset containing 952 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthonomus grandis Boheman, 1843",
 "Country is United States of America",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 952 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000835-241126133413365/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.25800136
title: Heavy metals and eggshell coloration in House Sparrow (<i>Passer domesticus</i>) eggshells across the Eastern United States.

description: Dataset from the citizen science project Sparrow Swap.
DOI: 10.6084/m9.figshare.25800136.v2
title: Heavy metals and eggshell coloration in House Sparrow (<i>Passer domesticus</i>) eggshells across the Eastern United States.

description: Dataset from the citizen science project Sparrow Swap.
DOI: 10.6084/m9.figshare.25800136.v1
title: Heavy metals and eggshell coloration in House Sparrow (<i>Passer domesticus</i>) eggshells across the Eastern United States.

description: Dataset from the citizen science project Sparrow Swap.
DOI: 10.15156/bio/sh0213225.10fu
title: SH0213225.10FU

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/sh0213226.10fu
title: SH0213226.10FU

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/sh0213227.10fu
title: SH0213227.10FU

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/sh0213228.10fu
title: SH0213228.10FU

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/sh0213229.10fu
title: SH0213229.10FU

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/sh0213230.10fu
title: SH0213230.10FU

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/sh0213231.10fu
title: SH0213231.10FU

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/sh0213232.10fu
title: SH0213232.10FU

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/sh0213233.10fu
title: SH0213233.10FU

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.