cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2kgynn
title: CCDC 2367862: Experimental Crystal Structure Determination

description: Related Article: Joseph S. Yoon, Mehdi Abdellaoui, Milan Gembicky, Guy Bertrand|2024|Chemical Science|15|15713|doi:10.1039/D4SC05091F
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.cc2kgypp
title: CCDC 2367863: Experimental Crystal Structure Determination

description: Related Article: Joseph S. Yoon, Mehdi Abdellaoui, Milan Gembicky, Guy Bertrand|2024|Chemical Science|15|15713|doi:10.1039/D4SC05091F
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.cc2kgyqq
title: CCDC 2367864: Experimental Crystal Structure Determination

description: Related Article: Joseph S. Yoon, Mehdi Abdellaoui, Milan Gembicky, Guy Bertrand|2024|Chemical Science|15|15713|doi:10.1039/D4SC05091F
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.cc2kgyrr
title: CCDC 2367865: Experimental Crystal Structure Determination

description: Related Article: Joseph S. Yoon, Mehdi Abdellaoui, Milan Gembicky, Guy Bertrand|2024|Chemical Science|15|15713|doi:10.1039/D4SC05091F
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.cc2kj4t2
title: CCDC 2369014: Experimental Crystal Structure Determination

description: Related Article: Cheng Xu, Jing Zhao, Yu Zheng, Wei Cai, Chuanyong Wang|2024|Org.Lett.|26|8662|doi:10.1021/acs.orglett.4c02648
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.cc2kj4v3
title: CCDC 2369015: Experimental Crystal Structure Determination

description: Related Article: Cheng Xu, Jing Zhao, Yu Zheng, Wei Cai, Chuanyong Wang|2024|Org.Lett.|26|8662|doi:10.1021/acs.orglett.4c02648
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.cc2hlx78
title: CCDC 2312080: Experimental Crystal Structure Determination

description: Related Article: Fengjie Lu, Yujie Geng, Huihui Wang, Ya-ning Liu, Ensheng Zhang, Liyun Yang, Jian Tang|2024|Org.Lett.|26|8786|doi:10.1021/acs.orglett.4c03142
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.cc2kk2rz
title: CCDC 2369911: Experimental Crystal Structure Determination

description: Related Article: Jobsy Jose, Arun Yadav, Chandra Bhushan Tripathi|2024|Chem.Commun.|60|11315|doi:10.1039/D4CC03778B
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.cc2kk77m
title: CCDC 2370050: Experimental Crystal Structure Determination

description: Related Article: Yue Shen, Hua-Jie Jiang, Jie Yu, Liu-Zhu Gong|2024|J.Org.Chem.|89|15341|doi:10.1021/acs.joc.4c01872
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.cc2kk78n
title: CCDC 2370051: Experimental Crystal Structure Determination

description: Related Article: Yue Shen, Hua-Jie Jiang, Jie Yu, Liu-Zhu Gong|2024|J.Org.Chem.|89|15341|doi:10.1021/acs.joc.4c01872
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.cc2klvz0
title: CCDC 2371623: Experimental Crystal Structure Determination

description: Related Article: Ujjwal Maji, Supriyo Das, Arpita Baidya, Ishita Roy, Joyram Guin|2024|Org.Lett.|26|8719|doi:10.1021/acs.orglett.4c03014
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.cc2jlnc5
title: CCDC 2341627: Experimental Crystal Structure Determination

description: Related Article: Alokesh Hazari, Subrata Jana|2024|Inorg.Chim.Acta|572|122276|doi:10.1016/j.ica.2024.122276
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.cc2kmftg
title: CCDC 2372176: Experimental Crystal Structure Determination

description: Related Article: Matthew R. Elsby, Abhishek Kumar, Lee M. Daniels, Mehmed Z. Ertem, Nilay Hazari, Brandon Q. Mercado, Alexandra H. Paulus|2024|Inorg.Chem.|63|19396|doi:10.1021/acs.inorgchem.4c03365
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.szm7qd
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Chaetostoma microps Günther, 1864"
 ]
}

 The dataset includes 63 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003174-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qwx9rw
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Hypostomus annectens (Regan, 1904)"
 ]
}

 The dataset includes 19 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003175-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11093655
title: The Kinomatics Australian Film Production Dataset

description: This is the public repository for the Kinomatics Australian Film Production Dataset, a large, curated dataset describing Australian feature film production and personnel from 1975 to 2022. Here, we briefly describe the contents of this repository, which are explained in more detail in the dataset's technical documentation.

Repository contents

Data files

There are two main data files that form this dataset. The first is films.csv, a table where each row corresponds to a unique film in the dataset, and the columns contain variables describing those films.

The second is roles.csv, a table where each row corresponds to an instance of a person filling a role on a film, and the columns contain variables describing that role (including identifiers for the film and the person).

Documentation

The technical documentation of the dataset is contained in the technical_documentation.odt file. Here, we provide a detailed account of the data collection, validation and preparation processes. We also provide tables describing each column in each of the data files.

We have also written a research data paper to accompany the dataset, which focuses less on the technical details and more on motivating the dataset itself and the decisions we made in deciding its scope and coverage. This data paper has been submitted for peer review, and a copy of the initially submitted manuscript can be found in the file preprint.pdf.

Issues

For any issues related to the dataset or this repository, please contact either of the lead authors Pete Jones (pete@petejon.es) or Deb Verhoeven (deb.verhoeven@ualberta.ca) and let us know what the problem is and how we can fix it.
DOI: 10.5281/zenodo.13151733
title: The Kinomatics Australian Film Production Dataset

description: This is the public repository for the Kinomatics Australian Film Production Dataset, a large, curated dataset describing Australian feature film production and personnel from 1975 to 2022. Here, we briefly describe the contents of this repository, which are explained in more detail in the dataset's technical documentation.

We have also written a research data paper to accompany the dataset, which focuses less on the technical details and more on motivating the dataset itself and the decisions we made in deciding its scope and coverage. This data paper is published in the open access Research Data Journal for the Humanities and Social Sciences and can be viewed at https://doi.org/10.1163/24523666-bja10048.

Repository contents

Data files

There are two main data files that form this dataset. The first is films.csv, a table where each row corresponds to a unique film in the dataset, and the columns contain variables describing those films.

The second is roles.csv, a table where each row corresponds to an instance of a person filling a role on a film, and the columns contain variables describing that role (including identifiers for the film and the person).

Documentation

The technical documentation of the dataset is presented in the technical_documentation.pdf file. Here, we provide a detailed account of the data collection, validation and preparation processes. We also provide tables describing each column in each of the data files.

Change log

The file changelog.pdf documents changes between released versions of the dataset.

Issues

For any issues related to the dataset or this repository, please contact either of the lead authors Pete Jones (pete@petejon.es) or Deb Verhoeven (deb.verhoeven@ualberta.ca) and let us know what the problem is and how we can fix it.
DOI: 10.5281/zenodo.13994280
title: The Kinomatics Australian Film Production Dataset

description: This is the public repository for the Kinomatics Australian Film Production Dataset, a large, curated dataset describing Australian feature film production and personnel from 1975 to 2022. Here, we briefly describe the contents of this repository, which are explained in more detail in the dataset's technical documentation.

We have also written a research data paper to accompany the dataset, which focuses less on the technical details and more on motivating the dataset itself and the decisions we made in deciding its scope and coverage. This data paper is published in the open access Research Data Journal for the Humanities and Social Sciences and can be viewed at https://doi.org/10.1163/24523666-bja10048. (NB: The counts, figures and tables presented in the data paper are accurate to version 1.0.2 of the dataset.)

Repository contents

Data files

There are two main data files that form this dataset. The first is films.csv, a table where each row corresponds to a unique film in the dataset, and the columns contain variables describing those films.

The second is roles.csv, a table where each row corresponds to an instance of a person filling a role on a film, and the columns contain variables describing that role (including identifiers for the film and the person).

Documentation

The technical documentation of the dataset is presented in the technical_documentation.pdf file. Here, we provide a detailed account of the data collection, validation and preparation processes. We also provide tables describing each column in each of the data files.

Change log

The file changelog.pdf documents changes between released versions of the dataset.

Issues

For any issues related to the dataset or this repository, please contact either of the lead authors Pete Jones (pete@petejon.es) or Deb Verhoeven (deb.verhoeven@ualberta.ca) and let us know what the problem is and how we can fix it.
DOI: 10.5281/zenodo.11584121
title: The Kinomatics Australian Film Production Dataset

description: This is the public repository for the Kinomatics Australian Film Production Dataset, a large, curated dataset describing Australian feature film production and personnel from 1975 to 2022. Here, we briefly describe the contents of this repository, which are explained in more detail in the dataset's technical documentation.

Repository contents

Data files

There are two main data files that form this dataset. The first is films.csv, a table where each row corresponds to a unique film in the dataset, and the columns contain variables describing those films.

The second is roles.csv, a table where each row corresponds to an instance of a person filling a role on a film, and the columns contain variables describing that role (including identifiers for the film and the person).

Documentation

The technical documentation of the dataset is contained in the technical_documentation.odt file. Here, we provide a detailed account of the data collection, validation and preparation processes. We also provide tables describing each column in each of the data files.

We have also written a research data paper to accompany the dataset, which focuses less on the technical details and more on motivating the dataset itself and the decisions we made in deciding its scope and coverage. This data paper has been submitted for peer review, and a copy of the initially submitted manuscript can be found in the file preprint.pdf.

Change log

The file changelog.pdf documents changes between released versions of the dataset.

Issues

For any issues related to the dataset or this repository, please contact either of the lead authors Pete Jones (pete@petejon.es) or Deb Verhoeven (deb.verhoeven@ualberta.ca) and let us know what the problem is and how we can fix it.
DOI: 10.15468/dl.k7mhd2
title: Occurrence Download

description: A dataset containing 595 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rousettus madagascariensis G.Grandidier, 1928"
 ]
}

 The dataset includes 595 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003176-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zftvyh
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abrus wittei Baker f."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0292233-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b7q6c4
title: Occurrence Download

description: A dataset containing 12572 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is herbarium_database"
 ]
}

 The dataset includes 12572 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0165702-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zscxkw
title: Occurrence Download

description: A dataset containing 219150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carex panicea L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "Year is greater than or equal to 1990",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 219150 records from 571 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0161778-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fbxfp9
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sedum dielsii Raym.-Hamet"
 ]
}

 The dataset includes 55 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122400-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fcve72
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Linum pringlei S.Watson"
 ]
}

 The dataset includes 196 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010604-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wzv4kc
title: Occurrence Download

description: A dataset containing 8816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Catharus dryas (Gould, 1855)"
 ]
}

 The dataset includes 8816 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0159908-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2z9hxh
title: Occurrence Download

description: A dataset containing 272118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "OccurrenceStatus is Present",
 "TaxonKey is Vaccinium vitis-idaea L.",
 "Year 1851-2023"
 ]
}

 The dataset includes 272118 records from 652 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010597-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y8kq3m
title: Occurrence Download

description: A dataset containing 804 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plebejus argus (Linnaeus, 1758)",
 "Year 1970-2000"
 ]
}

 The dataset includes 804 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0162746-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.839yrz
title: Occurrence Download

description: A dataset containing 8708936 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Plantaginaceae)"
 ]
}

 The dataset includes 8708936 records from 4792 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0161163-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fowp3b
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hippocampus comes Cantor, 1849"
 ]
}

 The dataset includes 111 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010825-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.94bdt8
title: Occurrence Download

description: A dataset containing 3750 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Quercus rugosa Née",
 "Year 1901-2021"
 ]
}

 The dataset includes 3750 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053962-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q36hf5
title: Occurrence Download

description: A dataset containing 329 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-115.69565 31.8988,-114.85245 31.8988,-114.85245 32.63489,-115.69565 32.63489,-115.69565 31.8988))",
 "HasCoordinate is true",
 "TaxonKey is Reptilia",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 329 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042876-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jqyq9v
title: Occurrence Download

description: A dataset containing 6254179 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ardea alba Linnaeus, 1758"
 ]
}

 The dataset includes 6254179 records from 901 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0342839-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.