cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc3tpl5
title: CCDC 114067: Experimental Crystal Structure Determination

description: Related Article: N.Seidel, K.Jacob, A.K.Fischer, K.Merzweiler, C.Wagner, M.Fontani, P.Zanello|2001|J.Organomet.Chem.|630|149|doi:10.1016/S0022-328X(01)00742-2
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/cc4xkg1
title: CCDC 146613: Experimental Crystal Structure Determination

description: Related Article: N.Seidel, K.Jacob, A.K.Fischer, K.Merzweiler, C.Wagner, M.Fontani, P.Zanello|2001|J.Organomet.Chem.|630|149|doi:10.1016/S0022-328X(01)00742-2
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/cc5w59h
title: CCDC 175066: Experimental Crystal Structure Determination

description: Related Article: M.H.Johansson, A.Oskarsson|2001|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|57|1265|doi:10.1107/S0108270101013579
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.nwfhbj
title: Occurrence Download

description: A dataset containing 425 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hastula cinerea"
 ]
}

 The dataset includes 425 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005967-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1174321.10fu
title: SH1174321.10FU

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/sh1174322.10fu
title: SH1174322.10FU

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/sh1174323.10fu
title: SH1174323.10FU

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/sh1174324.10fu
title: SH1174324.10FU

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/sh1174326.10fu
title: SH1174326.10FU

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/sh1174332.10fu
title: SH1174332.10FU

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/sh1174333.10fu
title: SH1174333.10FU

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/sh1174334.10fu
title: SH1174334.10FU

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/sh1174335.10fu
title: SH1174335.10FU

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: 10.15468/dl.9q5qj2
title: Occurrence Download

description: A dataset containing 47710 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Argiope aurantia Lucas, 1833"
 ]
}

 The dataset includes 47710 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013717-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15057328
title: Data & Analysis script for: Data on transgenerational memory effects of photosynthetic efficiency of twelve wheat varieties under elevated carbon dioxide concentration and reduced soil water availability

description: The Data and R_code provided here accompany the publication "Data on transgenerational memory effects of photosynthetic efficiency of twelve wheat varieties under elevated carbon dioxide concentration and reduced soil water availability" by Berauer et al. (2025) in the Journal Data In Brief (DOI: https://doi.org/10.1016/j.dib.2025.111545). For details on the methodological procedure and the study's background, please see the above-mentioned Data Article.

This data investigates the transgenerational memory effects of the photosynthetic efficiency (Vcmax and Jmax) of twelve agricultural winter wheat varieties exposed to increased carbon dioxide levels and reduced soil water availability. The data was measured within an experiment under highly controlled environmental conditions within climate chambers using the novel Dynamic Assimilation Technique (following Saathoff & Welles 2021).

The R-code can be used to process the photosynthesis raw data and calculate the ACi fits in a reproducible environment.
DOI: 10.5281/zenodo.15057329
title: Data & Analysis script for: Data on transgenerational memory effects of photosynthetic efficiency of twelve wheat varieties under elevated carbon dioxide concentration and reduced soil water availability

description: The data and R_code provided here accompany the publication "Data on transgenerational memory effects of photosynthetic efficiency of twelve wheat varieties under elevated carbon dioxide concentration and reduced soil water availability" by Berauer et al. (2025) in the Journal DataInBrief. For details on the methodological procedure and the study's background please see the above-mentioned article.

This data investigates the transgenerational memory effects of the photosynthetic efficiency (Vcmax and Jmax) of twelve agricultural wheat varieties exposed to increased carbon dioxide levels and reduced soil water availability. The data was measured within an experiment under highly controlled environmental conditions within climate chambers using the novel Dynamic Assimilation Technique (following Saathoff & Welles 2021).

The R-code can be used to process the photosynthesis raw data and calculate the ACi fits in a reproducible environment.
DOI: 10.5281/zenodo.15100916
title: Data & Analysis script for: Data on transgenerational memory effects of photosynthetic efficiency of twelve wheat varieties under elevated carbon dioxide concentration and reduced soil water availability

description: The data and R_code provided here accompany the publication "Data on transgenerational memory effects of photosynthetic efficiency of twelve wheat varieties under elevated carbon dioxide concentration and reduced soil water availability" by Berauer et al. (2025) in the Journal Data In Brief. For details on the methodological procedure and the study's background please see the above-mentioned article.

This data investigates the transgenerational memory effects of the photosynthetic efficiency (Vcmax and Jmax) of twelve agricultural winter wheat varieties exposed to increased carbon dioxide levels and reduced soil water availability. The data was measured within an experiment under highly controlled environmental conditions within climate chambers using the novel Dynamic Assimilation Technique (following Saathoff & Welles 2021).

The R-code can be used to process the photosynthesis raw data and calculate the ACi fits in a reproducible environment.
DOI: 10.5281/zenodo.15185206
title: Data & Analysis script for: Data on transgenerational memory effects of photosynthetic efficiency of twelve wheat varieties under elevated carbon dioxide concentration and reduced soil water availability

description: The Data and R_code provided here accompany the publication "Data on transgenerational memory effects of photosynthetic efficiency of twelve wheat varieties under elevated carbon dioxide concentration and reduced soil water availability" by Berauer et al. (2025) in the Journal Data In Brief (DOI: https://doi.org/10.1016/j.dib.2025.111545). For details on the methodological procedure and the study's background, please see the above-mentioned Data Article.

This data investigates the transgenerational memory effects of the photosynthetic efficiency (Vcmax and Jmax) of twelve agricultural winter wheat varieties exposed to increased carbon dioxide levels and reduced soil water availability. The data was measured within an experiment under highly controlled environmental conditions within climate chambers using the novel Dynamic Assimilation Technique (following Saathoff & Welles 2021).

The R-code can be used to process the photosynthesis raw data and calculate the ACi fits in a reproducible environment.
DOI: 10.15468/dl.2u63bh
title: Occurrence Download

description: A dataset containing 1534 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 {
 "or" : [
 "TaxonKey is Dryopteris patula (Sw.) Underw.",
 "TaxonKey is Aspidium patulum Sw."
 ]
 }
 ]
}

 The dataset includes 1534 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0237363-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.erez2a
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Speleomantes imperialis (Stefani, 1969)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 26 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050038-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tgnww6
title: Occurrence Download

description: A dataset containing 4491 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ethiopia",
 "Geometry POLYGON((36.5625 4.44609,38.1665 3.5825,39.57715 3.39389,40.01221 3.81054,40.80762 4.16125,40.31104 5.13362,39.4541 5.7898,38.64111 5.65863,38.20166 5.77669,37.78418 5.53179,36.99316 5.11611,36.5625 4.44609))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 4491 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000192-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6gl8ir
title: Occurrence Download

description: A dataset containing 232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bambusa multiplex (Lour.) Raeusch. ex Schult.f.",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 232 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014841-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pbjxnd
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Betula pubescens Ehrh.",
 "Year is 2021"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0256009-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p5paqp
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pavo muticus Linnaeus, 1766"
 ]
}

 The dataset includes 25 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0267055-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mzjh8c
title: Occurrence Download

description: A dataset containing 191 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dasya sessilis Yamada, 1928"
 ]
}

 The dataset includes 191 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0275104-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j2p24n
title: Occurrence Download

description: A dataset containing 10652 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Phasianus colchicus Linnaeus, 1758"
 ]
}

 The dataset includes 10652 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0256007-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ztyurr
title: Occurrence Download

description: A dataset containing 48114 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is MMNH Museum Bird Collection"
 ]
}

 The dataset includes 48114 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014841-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.up65bk
title: Occurrence Download

description: A dataset containing 849 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bromus briziformis Fisch. & C.A.Mey."
 ]
}

 The dataset includes 849 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0261498-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.