cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0084328.10fu
title: SH0084328.10FU

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: 10.13145/bacdive16673.20251217.10
title: Desulfacinum hydrothermale Sievert and Kuever 2000

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive16674.20241212.9.2
title: Desulfacinum subterraneum Rozanova et al. 2001

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive16674.20251217.10
title: Desulfacinum subterraneum Rozanova et al. 2001

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0084329.10fu
title: SH0084329.10FU

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.18162868
title: [LS2N_IPI] IRCCyN IVC DIBR Images

description: This database contains 96 still images and their associated subjective scores.

Three different multiview plus depth (MVD) sequences are considered in this database. The sequences are Book Arrival (1024x768, 16 cameras with 6.5cm spac-ing), Lovebird1 (1024x768, 12 cameras with 3.5 cm spacing) and Newspaper (1024x768, 9 cameras with 5 cm spacing). Seven DIBR algorithms processed the three sequences to generate, for each sequence, four new viewpoints.

These seven DIBR algorithms are labeled from A1 to A7. The test was conducted in an ITU conforming test environment. For the subjective assessments, the stimuli were displayed on a TVLogic LVM401W, and according to ITU-T BT.500. See the paper for more details.

From the generated views (96 video sequences in total), 96 still images are extracted. They are referred to as "key frames" in the papers above. However, the extraction is random : only one frame was selected out of each synthesized view viewpoint. The frame number is fixed for a given viewpoint. This database contains only the extracted still images and the video sequences will be available subsequently in a different database.

We provide 2 spreadsheets with the individual scores for ACR and pair comparison and the Mean Opinion Score (MOS) for each of the 96 images.

We used Absolute Category Rating (ACR) and pair comparison as test methodologies. A text file describes the exact conditions in which the videos were evaluated.
DOI: 10.5281/zenodo.18162869
title: [LS2N_IPI] IRCCyN IVC DIBR Images

description: This database contains 96 still images and their associated subjective scores.

Three different multiview plus depth (MVD) sequences are considered in this database. The sequences are Book Arrival (1024x768, 16 cameras with 6.5cm spac-ing), Lovebird1 (1024x768, 12 cameras with 3.5 cm spacing) and Newspaper (1024x768, 9 cameras with 5 cm spacing). Seven DIBR algorithms processed the three sequences to generate, for each sequence, four new viewpoints.

These seven DIBR algorithms are labeled from A1 to A7. The test was conducted in an ITU conforming test environment. For the subjective assessments, the stimuli were displayed on a TVLogic LVM401W, and according to ITU-T BT.500. See the paper for more details.

From the generated views (96 video sequences in total), 96 still images are extracted. They are referred to as "key frames" in the papers above. However, the extraction is random : only one frame was selected out of each synthesized view viewpoint. The frame number is fixed for a given viewpoint. This database contains only the extracted still images and the video sequences will be available subsequently in a different database.

We provide 2 spreadsheets with the individual scores for ACR and pair comparison and the Mean Opinion Score (MOS) for each of the 96 images.

We used Absolute Category Rating (ACR) and pair comparison as test methodologies. A text file describes the exact conditions in which the videos were evaluated.
DOI: 10.13145/bacdive16675.20241212.9.2
title: Desulforhabdus amnigena Oude Elferink et al. 1997

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive16675.20251217.10
title: Desulforhabdus amnigena Oude Elferink et al. 1997

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0084330.10fu
title: SH0084330.10FU

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: 10.13145/bacdive16676.20241212.9.2
title: Desulfovirga adipica Tanaka et al. 2000

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive16676.20251217.10
title: Desulfovirga adipica Tanaka et al. 2000

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0084331.10fu
title: SH0084331.10FU

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.ykr855
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Erigeron altaicus"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000712-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.34838f
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Cuminum cyminum"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000713-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j47j9t
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Galatella fastigiiformis"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000714-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9akfau
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Orychophragmus diffusus"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000715-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.28511.93601
title: Shem outlived Abraham? - Timeline of the Patriarchs
DOI: 10.5281/zenodo.17446533
title: Fault geometry governs earthquake nucleation, propagation, and arrest: Insights from the 2021 Yangbi earthquake sequence

description: This dataset contains a high-precision earthquake catalog and focal mechanism solutions of the Yangbi aftershock sequence.
DOI: 10.5281/zenodo.17446532
title: Fault geometry governs earthquake nucleation, propagation, and arrest: Insights from the 2021 Yangbi earthquake sequence

description: This dataset contains a high-precision earthquake catalog and focal mechanism solutions of the Yangbi aftershock sequence.
DOI: 10.15468/dl.zmm9pt
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Gentiana kauffmanniana"
 ]
}

 The dataset includes 36 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000716-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.38dpyd
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Geranium rectum"
 ]
}

 The dataset includes 62 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000717-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17446450
title: 10 Twitter Networks on 5 Topics in Finnish Twittersphere (2019 & 2023)

description: Description

This dataset contains 10 undirected networks derived from Twitter data (API v1 & v2), covering five distinct political topics for two different parliamentary election years:





Topics: Climate, Immigration, Social Security, Economy, Education




Years: 2019 and 2023



This deposit includes the final, processed network files in .graphml format. All nodes (users) across all 10 networks have been relabeled with a single, consistent, global integer ID (from 0 to N-1, where N is the total number of unique users). This anonymizes the data and allows for direct comparison and tracking of users across different networks and time periods.

Data Collection

See section 4.1 in Salloum, Chen & Kivelä (2025) Anatomy of elite and mass polarization in social networks.

Files

This deposit contains the following files:





climate_19.graphml




climate_23.graphml




immigration_19.graphml




immigration_23.graphml




social_19.graphml




social_23.graphml




economy_19.graphml




economy_23.graphml




education_19.graphml




education_23.graphml



Data Dictionary

Relabeled GraphML Files (*.graphml)

These files can be opened by any network analysis software that supports the GraphML format (e.g., Gephi, Python networkx, R igraph).





Graph Type: Undirected (Graph)




Nodes: Represent individual users.





id (Integer): The new, global, persistent integer ID for the user (from 0 to N-1).




group (String): The community or group label (A or B) assigned to the node.




hierarchy (String): The hierarchical status (CORE or PERIPHERY) assigned to the node.






Edges: Represent a retweet with no added comment (quotations) between users. 



How to Use

The .graphml files can be loaded directly for analysis.

Python (networkx) Example:

import networkx as nx

# Load a network
G = nx.read_graphml("./climate_23.graphml")

Cite As

Kindly ensure to reference the original article when utilizing this dataset: Salloum, Chen & Kivelä (2025) Anatomy of elite and mass polarization in social networks.
DOI: 10.5281/zenodo.17446451
title: 10 Twitter Networks on 5 Topics in Finnish Twittersphere (2019 & 2023)

description: Description

This dataset contains 10 undirected networks derived from Twitter data (API v1 & v2), covering five distinct political topics for two different parliamentary election years:





Topics: Climate, Immigration, Social Security, Economy, Education




Years: 2019 and 2023



This deposit includes the final, processed network files in .graphml format. All nodes (users) across all 10 networks have been relabeled with a single, consistent, global integer ID (from 0 to N-1, where N is the total number of unique users). This anonymizes the data and allows for direct comparison and tracking of users across different networks and time periods.

Data Collection

See section 4.1 in Salloum, Chen & Kivelä (2025) Anatomy of elite and mass polarization in social networks.

Files

This deposit contains the following files:





climate_19.graphml




climate_23.graphml




immigration_19.graphml




immigration_23.graphml




social_19.graphml




social_23.graphml




economy_19.graphml




economy_23.graphml




education_19.graphml




education_23.graphml



Data Dictionary

Relabeled GraphML Files (*.graphml)

These files can be opened by any network analysis software that supports the GraphML format (e.g., Gephi, Python networkx, R igraph).





Graph Type: Undirected (Graph)




Nodes: Represent individual users.





id (Integer): The new, global, persistent integer ID for the user (from 0 to N-1).




group (String): The community or group label (A or B) assigned to the node.




hierarchy (String): The hierarchical status (CORE or PERIPHERY) assigned to the node.






Edges: Represent a retweet with no added comment (quotations) between users. 



How to Use

The .graphml files can be loaded directly for analysis.

Python (networkx) Example:

import networkx as nx

# Load a network
G = nx.read_graphml("./climate_23.graphml")

Cite As

Kindly ensure to reference the original article when utilizing this dataset: Salloum, Chen & Kivelä (2025) Anatomy of elite and mass polarization in social networks.
DOI: 10.5517/ccdc.csd.cc2mfdzg
title: CCDC 2425966: Experimental Crystal Structure Determination

description: Related Article: Irina Sabitova, Dmitry Tsymbarenko|2025|Opt.Mater.|168|117438|doi:10.1016/j.optmat.2025.117438
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.cc2mffbv
title: CCDC 2425977: Experimental Crystal Structure Determination

description: Related Article: Natalie B. Condino,  Doriane Rousseau,  Esperance Mutoni,  Jeffrey Davidson,  Lara K. Watanabe,  France-Isabelle Auzanneau|2025|Molecules|30|1483|doi:10.3390/molecules30071483
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.cc2mffj1
title: CCDC 2425983: Experimental Crystal Structure Determination

description: Related Article: Bi Youan E. Tra, Yujie Zhao, Andrew Molino, Yifu Ouyang, Chun-Lin Deng, Colleen McAloon, Noah D. McMillion, Heechan Kim, Chonghe Zhang, Peter Müller, Robert G. Griffin, Robert J. Gilliard, Jr.|2025|J.Am.Chem.Soc.|147|18431|doi:10.1021/jacs.5c04487
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.cc2mffk2
title: CCDC 2425984: Experimental Crystal Structure Determination

description: Related Article: Bi Youan E. Tra, Yujie Zhao, Andrew Molino, Yifu Ouyang, Chun-Lin Deng, Colleen McAloon, Noah D. McMillion, Heechan Kim, Chonghe Zhang, Peter Müller, Robert G. Griffin, Robert J. Gilliard, Jr.|2025|J.Am.Chem.Soc.|147|18431|doi:10.1021/jacs.5c04487
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.cc2mffl3
title: CCDC 2425985: Experimental Crystal Structure Determination

description: Related Article: Bi Youan E. Tra, Yujie Zhao, Andrew Molino, Yifu Ouyang, Chun-Lin Deng, Colleen McAloon, Noah D. McMillion, Heechan Kim, Chonghe Zhang, Peter Müller, Robert G. Griffin, Robert J. Gilliard, Jr.|2025|J.Am.Chem.Soc.|147|18431|doi:10.1021/jacs.5c04487
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.cc2mffm4
title: CCDC 2425986: Experimental Crystal Structure Determination

description: Related Article: Bi Youan E. Tra, Yujie Zhao, Andrew Molino, Yifu Ouyang, Chun-Lin Deng, Colleen McAloon, Noah D. McMillion, Heechan Kim, Chonghe Zhang, Peter Müller, Robert G. Griffin, Robert J. Gilliard, Jr.|2025|J.Am.Chem.Soc.|147|18431|doi:10.1021/jacs.5c04487
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.cc2mfgfz
title: CCDC 2426011: Experimental Crystal Structure Determination

description: Related Article: Tyler A. Kerr, Yessica A. Nelson, Nicholas A. Bernier, Alexander M. Spokoyny|2025|Inorg.Chem.|64|8845|doi:10.1021/acs.inorgchem.5c00469
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.cc2mfgg0
title: CCDC 2426012: Experimental Crystal Structure Determination

description: Related Article: Yuzhuo Sha, Wenchao Chu, Tongliang Zhou, Roger Lalancette, Roman Szostak, Michal Szostak|2025|Organometallics|44|1100|doi:10.1021/acs.organomet.5c00093
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.cc2mfgj2
title: CCDC 2426014: Experimental Crystal Structure Determination

description: Related Article: Daria Zapravdina,  Konstantin Eremeev,  Ilya A. Yakushev,  Anna Maksimova,  Jourdan Bynerie,  Vladimir Burmistrov|2025|Molbank|2025|M1984|doi:10.3390/M1984
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.cc2mfgr9
title: CCDC 2426021: Experimental Crystal Structure Determination

description: Related Article: Yong-Jie Long, Yin Wei, Min Shi|2025|J.Am.Chem.Soc.|147|29568|doi:10.1021/jacs.5c10764
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.