cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14725536
title: ArXiv Property Graph

description: This dataset was constructed based on the data found in Kaggle from ArXiv.

The files here reported can be used to build a property graph in Neo4J:



ArXivQueriesLoad.txt - contains all the queries that can be used to load the csv files into Neo4J 

author.csv - contains the data for the Author nodes.

article.csv - contains the data for the Article nodes.

category.csv - contains the data for the Category nodes.

macrocategory.csv - contains the data for the Macrocategory nodes.

author_article.csv - contains the data for the WRITE relationship from Author to Article Nodes.

article_category.csv - contains the data for the LABELLED relationship from Article to Category Nodes.

category_macrocategory.csv - contains the data for the GROUPED relationship from Category to Macrocategory Nodes.


This data was used as test dataset in the paper "MINE GRAPH RULE: A New GQL Operator for Mining Association Rules in Property Graph Databases".
DOI: 10.5281/zenodo.14725537
title: ArXiv Property Graph

description: This dataset was constructed based on the data found in Kaggle from ArXiv.

The files here reported can be used to build a property graph in Neo4J:



ArXivQueriesLoad.txt - contains all the queries that can be used to load the csv files into Neo4J 

author.csv - contains the data for the Author nodes.

article.csv - contains the data for the Article nodes.

category.csv - contains the data for the Category nodes.

macrocategory.csv - contains the data for the Macrocategory nodes.

author_article.csv - contains the data for the WRITE relationship from Author to Article Nodes.

article_category.csv - contains the data for the LABELLED relationship from Article to Category Nodes.

category_macrocategory.csv - contains the data for the GROUPED relationship from Category to Macrocategory Nodes.


This data was used as test dataset in the paper "MINE GRAPH RULE: A New GQL Operator for Mining Association Rules in Property Graph Databases".
DOI: 10.5281/zenodo.14725783
title: Dataset related to the article: Which commercial partners are important for the most recently EU countries? (Econ Transit, 2015, 23(1), 247-292)
DOI: 10.5281/zenodo.14725784
title: Dataset related to the article: Which commercial partners are important for the most recently EU countries? (Econ Transit, 2015, 23(1), 247-292)
DOI: 10.5517/ccdc.csd.cc26zcf0
title: CCDC 2054972: Experimental Crystal Structure Determination

description: Related Article: Elif Bulat, Yunus Zorlu, Remziye Aysun Kepekçi|2025|J.Mol.Struct.|1326|141085|doi:10.1016/j.molstruc.2024.141085
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.cc2fx32k
title: CCDC 2261328: Experimental Crystal Structure Determination

description: Related Article: Bajrang Lal, Vipin Kumar, Ram Kumar Tittal, Ramling S. Mathpati, Prabhakar Chetti|2025|J.Mol.Struct.|1326|141092|doi:10.1016/j.molstruc.2024.141092
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.cc2fx7f1
title: CCDC 2261463: Experimental Crystal Structure Determination

description: Related Article: Bajrang Lal, Vipin Kumar, Ram Kumar Tittal, Ramling S. Mathpati, Prabhakar Chetti|2025|J.Mol.Struct.|1326|141092|doi:10.1016/j.molstruc.2024.141092
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.cc2fxjpl
title: CCDC 2261750: Experimental Crystal Structure Determination

description: Related Article: Bajrang Lal, Vipin Kumar, Ram Kumar Tittal, Ramling S. Mathpati, Prabhakar Chetti|2025|J.Mol.Struct.|1326|141092|doi:10.1016/j.molstruc.2024.141092
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.cc2gjq4w
title: CCDC 2280178: Experimental Crystal Structure Determination

description: Related Article: Suman K. Saha, Anupriya Bera, Akanksha Kumari, Khyati Shukla, Nirmal K. Rana|2024|J.Org.Chem.|90|853|doi:10.1021/acs.joc.4c02320
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.14720115
title: Multi-Stakeholder Challenges and Opportunities of News Recommender Systems in Newsrooms: A Comparative Systematic Literature Review

description: The systematic search was conducted on the 24th of May 2024, using two major academic databases: Web of Science and Scopus. The search results were limited to English-language, peer-reviewed publications without any restrictions on the publication date. 

The search strings were developed through an iterative process in which early searches informed the refinement of the final strategy. The final search strings were designed to capture publications discussing “news personalisation” or “news recommender systems”, which were treated as synonymous. Considering that our research question focused specifically on news media organisations, the inclusion of terms such as ‘media’, ‘media organisation’ and ‘newsroom’ ensured that the studies we found were linked to the journalism field.
DOI: 10.5281/zenodo.14720116
title: Multi-Stakeholder Challenges and Opportunities of News Recommender Systems in Newsrooms: A Comparative Systematic Literature Review

description: The systematic search was conducted on the 24th of May 2024, using two major academic databases: Web of Science and Scopus. The search results were limited to English-language, peer-reviewed publications without any restrictions on the publication date. 

The search strings were developed through an iterative process in which early searches informed the refinement of the final strategy. The final search strings were designed to capture publications discussing “news personalisation” or “news recommender systems”, which were treated as synonymous. Considering that our research question focused specifically on news media organisations, the inclusion of terms such as ‘media’, ‘media organisation’ and ‘newsroom’ ensured that the studies we found were linked to the journalism field.
DOI: 10.5517/ccdc.csd.cc2gqbp7
title: CCDC 2285589: Experimental Crystal Structure Determination

description: Related Article: Shuangjie Lin, Renxu Cao, Zhixian Wu, Yihe Zhu, Shaohua Zhang, Xuehan Qi, Qingyu Shi, Yizhe Mao, Yunhe Jin, Erjun Hao, Lei Shi|2024|Org.Lett.|27|134|doi:10.1021/acs.orglett.4c04086
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.cc2h9c4b
title: CCDC 2302901: Experimental Crystal Structure Determination

description: Related Article: Reshma Kumari, Marilyn Daisy Milton|2025|J.Photochem.Photobiol.A:Chem.|462|116222|doi:10.1016/j.jphotochem.2024.116222
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.cc2h9c5c
title: CCDC 2302902: Experimental Crystal Structure Determination

description: Related Article: Reshma Kumari, Marilyn Daisy Milton|2025|J.Photochem.Photobiol.A:Chem.|462|116222|doi:10.1016/j.jphotochem.2024.116222
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.cc2hp0mv
title: CCDC 2314107: Experimental Crystal Structure Determination

description: Related Article: Liang-Chen Ren, Min Wang, Xiao Zha, Yu-Rui Jian, Li-Ren Zhang, Jia-Jing Tan, Bao-Dong Cui, Yun Zhang, Xue-Qing Mou, Yong-Zheng Chen|2024|J.Org.Chem.|90|412|doi:10.1021/acs.joc.4c02363
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.cc2j25xq
title: CCDC 2325803: Experimental Crystal Structure Determination

description: Related Article: Nathan J. Lin, Kelly L. Gullett, Ushindi K. Muna, Ryan Galloway, Matthias Zeller, Suzanne C. Bart|2024|Organometallics|44|289|doi:10.1021/acs.organomet.4c00449
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.cc2j25yr
title: CCDC 2325804: Experimental Crystal Structure Determination

description: Related Article: Nathan J. Lin, Kelly L. Gullett, Ushindi K. Muna, Ryan Galloway, Matthias Zeller, Suzanne C. Bart|2024|Organometallics|44|289|doi:10.1021/acs.organomet.4c00449
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.cc2j25zs
title: CCDC 2325805: Experimental Crystal Structure Determination

description: Related Article: Nathan J. Lin, Kelly L. Gullett, Ushindi K. Muna, Ryan Galloway, Matthias Zeller, Suzanne C. Bart|2024|Organometallics|44|289|doi:10.1021/acs.organomet.4c00449
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.cc2j260v
title: CCDC 2325806: Experimental Crystal Structure Determination

description: Related Article: Nathan J. Lin, Kelly L. Gullett, Ushindi K. Muna, Ryan Galloway, Matthias Zeller, Suzanne C. Bart|2024|Organometallics|44|289|doi:10.1021/acs.organomet.4c00449
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.cc2j262x
title: CCDC 2325808: Experimental Crystal Structure Determination

description: Related Article: Nathan J. Lin, Kelly L. Gullett, Ushindi K. Muna, Ryan Galloway, Matthias Zeller, Suzanne C. Bart|2024|Organometallics|44|289|doi:10.1021/acs.organomet.4c00449
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.cc2j264z
title: CCDC 2325810: Experimental Crystal Structure Determination

description: Related Article: Nathan J. Lin, Kelly L. Gullett, Ushindi K. Muna, Ryan Galloway, Matthias Zeller, Suzanne C. Bart|2024|Organometallics|44|289|doi:10.1021/acs.organomet.4c00449
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.cc2j2661
title: CCDC 2325812: Experimental Crystal Structure Determination

description: Related Article: Nathan J. Lin, Kelly L. Gullett, Ushindi K. Muna, Ryan Galloway, Matthias Zeller, Suzanne C. Bart|2024|Organometallics|44|289|doi:10.1021/acs.organomet.4c00449
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.cc2j240s
title: CCDC 2325744: Experimental Crystal Structure Determination

description: Related Article: Akitomo Kasahara, Ryo Yamada, Tadashi Hyodo, Kentaro Yamaguchi, Yuko Otani, Shimpei Sumimoto, Masahiro Okada, Tomohiko Ohwada|2024|J.Org.Chem.|90|623|doi:10.1021/acs.joc.4c02532
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.cc2jvts0
title: CCDC 2349483: Experimental Crystal Structure Determination

description: Related Article: Nathan J. Lin, Kelly L. Gullett, Ushindi K. Muna, Ryan Galloway, Matthias Zeller, Suzanne C. Bart|2024|Organometallics|44|289|doi:10.1021/acs.organomet.4c00449
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.cc2k5h3c
title: CCDC 2358762: Experimental Crystal Structure Determination

description: Related Article: Phuong-Lien Doan Cao, Khiem Chau Nguyen, Alexander A. Nevzorov, Milena Jovanovic, Phattananawee Nalaoh, Jonathan S. Lindsey|2024|J.Org.Chem.|90|146|doi:10.1021/acs.joc.4c02059
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: 10.4121/21942a92-e900-42cb-8c89-6a8974e8dc39.v1
title: Raw data supporting the article: Humidity-controlled interactions and lifting of MoS2 on SiO2

description: AFM Image maps and force-distance curves recorded at different relative humidities for both 1L-MoS2/SiO2 and SiO2 including metadata and AFM parameters. The measurements on the monolayer show an increased lifting effect at higher relative humidities. The interactions and effects due to an increase of humidity are explained in the article: 10.1088/2515-7639/adaaa1
DOI: 10.6084/m9.figshare.28218491
title: Geotoga

description: Supplementary materials for the Chapter Geotoga gbm01270.
DOI: 10.6084/m9.figshare.28263527
title: Spatial-temporal Pore Pressure and Stress Evolution associated with the Impoundment of Two Contiguous Reservoirs in Jinsha River, China and Regional Seismicity

description: The file folder is the dataset for the manuscript entitled ''Spatial-temporal Pore Pressure and Stress Evolution associated with the Impoundment of Two Contiguous Reservoirs in Jinsha River, China and Regional Seismicity" by Miao et al., including the water level evolutions of Xiluodu and Xiangjiaba reservoirs, earthquake catalog with the pore pressure and the Coulomb stress change, 3D active faults distribution and the ABAQUS script of the standard model used in this manuscript. The fault data adopts the UTM coordinate system, WGS84, 48 zone. The water level evolution and earthquake catalog is in UTC+8. The Karstic area extends from the surface to a depth of 0 km.
DOI: 10.6084/m9.figshare.28263527.v2
title: Spatial-temporal Pore Pressure and Stress Evolution associated with the Impoundment of Two Contiguous Reservoirs in Jinsha River, China and Regional Seismicity

description: The file folder is the dataset for the manuscript entitled ''Spatial-temporal Pore Pressure and Stress Evolution associated with the Impoundment of Two Contiguous Reservoirs in Jinsha River, China and Regional Seismicity" by Miao et al., including the water level evolutions of Xiluodu and Xiangjiaba reservoirs, earthquake catalog with the pore pressure and the Coulomb stress change, 3D active faults distribution and the ABAQUS script of the standard model used in this manuscript. The fault data adopts the UTM coordinate system, WGS84, 48 zone. The water level evolution and earthquake catalog is in UTC+8. The Karstic area extends from the surface to a depth of 0 km.
DOI: 10.6084/m9.figshare.28263527.v1
title: Spatial-temporal Pore Pressure and Stress Evolution associated with the Impoundment of Two Contiguous Reservoirs in Jinsha River, China and Regional Seismicity

description: The file folder is the dataset for the manuscript entitled ''Spatial-temporal Pore Pressure and Stress Evolution associated with the Impoundment of Two Contiguous Reservoirs in Jinsha River, China and Regional Seismicity" by Miao et al., including the water level evolutions of Xiluodu and Xiangjiaba reservoirs, earthquake catalog with the pore pressure and the Coulomb stress change, 3D active faults distribution and the ABAQUS script of the standard model used in this manuscript. The fault data adopts the UTM coordinate system, WGS84, 48 zone. The water level evolution and earthquake catalog is in UTC+8.
DOI: 10.15468/dl.dqye8k
title: Occurrence Download

description: A dataset containing 10919 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lynx canadensis Kerr, 1792"
 ]
}

 The dataset includes 10919 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002642-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34808/aqpy-dq90
title: Area covered by dominant tree species in the State Forests divided into stand age classes over the years 2019-2023

description: Changes compared to version 1.0:

The data has been cleaned and organized using OpenRefine. A column with the average age of trees was added for each type of dominant tree species.The data has been cleaned and organized using OpenRefine.
A column with the average age of trees was added for each type of dominant tree species.
 The dataset contains data illustrating changes in distribution of dominant tree species in the State Forests divided into stand age classes over the years 2019-2023. Information about covered area is provided in ha and  percentage of whole analyzed  area. Dominant speciescan be defined as the species in the stand with the largest share in terms of area, thickness or number.
It should be noted that this only concerns forests managed by the State Forests National Forest Holding.  the span of the age class is 20 years (e.g. age class I – tree stands up to 20 years old, class II – 21 – 40 years, class III – 41 – 60 years, etc.). The average age is determined as a weighted average, with the area in individual age classes and subclasses taken as the weight. The term forest area refers to the area of forests excluding land related to forest management. The main source of information for the study is the Forest Data Bank (www.bdl.lasy.gov.pl).
The dominant tree species included in the dataset are:

So - pine
Św - spruce
Jd - fir
Bk - beech
Db - oak
Gb - hornbeam
Brz - birch
Ol - black alder
Tp - poplar
Os - aspen
DOI: 10.34808/rf0r-6j13
title: Area covered by dominant tree species in the State Forests divided into stand age classes over the years 2019-2023
DOI: 10.5281/zenodo.14190644
title: Optimized Analytical Workflow for Single-Nucleus Transcriptomics  in Main Metabolic Tissues

description: Single-nucleus RNA sequencing (snRNA-seq) has emerged as a powerful approach for studying cellular heterogeneity in metabolic tissues. However, snRNA-seq analysis remains challenging due to low gene expression and data complexity. Here, we introduce an optimized analytical workflow for snRNA-seq data from 67 samples across four main metabolic tissues white adipose tissue, hypothalamus, muscle and liver. We emphasized the importance of key steps including ambient RNA removal, doublet identification, normalization and data integration to ensure accurate downstream analysis. This workflow offers a valuable resource for researchers in metabolism, facilitating deeper insights into cellular diversity and metabolic function through rigorous snRNA-seq analysis.
DOI: 10.5281/zenodo.14190645
title: Optimized Analytical Workflow for Single-Nucleus Transcriptomics  in Main Metabolic Tissues

description: Single-nucleus RNA sequencing (snRNA-seq) has emerged as a powerful approach for studying cellular heterogeneity in metabolic tissues. However, snRNA-seq analysis remains challenging due to low gene expression and data complexity. Here, we introduce an optimized analytical workflow for snRNA-seq data from 67 samples across four main metabolic tissues white adipose tissue, hypothalamus, muscle and liver. We emphasized the importance of key steps including ambient RNA removal, doublet identification, normalization and data integration to ensure accurate downstream analysis. This workflow offers a valuable resource for researchers in metabolism, facilitating deeper insights into cellular diversity and metabolic function through rigorous snRNA-seq analysis.