cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34943/e77a7b5a-960d-4b40-9048-e613e2a8b644
title: Barkley Canyon Mid-East Conductivity Temperature Depth Deployed 2023-09-11

description: The Sea-Bird SeaCAT SBE19plus V2 7028 was deployed on 2023-09-11 at Barkley Canyon Mid-East. Barkley Canyon Mid-East is a location in Barkley Canyon near a canyon wall. At this location, benthic processes, biodiversity, and sediment dynamics are observed. This device is a Conductivity Temperature Depth. Conductivity Temperature Depth (CTD) is an instrument package that contains sensors for measuring the conductivity, temperature, and pressure of seawater. Salinity, sound velocity, depth and density are variables that can be derived from sensor measurements. CTDs can carry additional instruments and sensors such as oxygen sensors, turbidity sensors and fluorometers. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5281/zenodo.10292606
title: Evaluation Artifact for Incremental Identification of T-Wise Feature Interactions

description: This is an artifact for the research paper "Incremental Identification of T-Wise Feature Interactions". The artifact consists of the raw data reported in the paper, the Java tool for running the evaluation, and the scripts for generating the respective plots.
DOI: 10.5281/zenodo.10292607
title: Evaluation Artifact for Incremental Identification of T-Wise Feature Interactions

description: This is an artifact for the research paper "Incremental Identification of T-Wise Feature Interactions". The artifact consists of the raw data reported in the paper, the Java tool for running the evaluation, and the scripts for generating the respective plots.
DOI: 10.6084/m9.figshare.24771276
title: data.txt

description: Radiocarbon dating results of foraminifera in core LB1
DOI: 10.6084/m9.figshare.24771276.v1
title: data.txt

description: Radiocarbon dating results of foraminifera in core LB1
DOI: 10.21227/j0j1-t848
title: Flatness Scanning and Superdirectivity using IDMBSA

description: This dataset is primarily intended for the submission of simulation files and code associated with the letter that has been submitted to IEEE-AWPL. The letter is titled 'Flatness Scanning and Superdirectivity in Planar Antenna Arrays: An Analysis and Design Approach using IDMBSA.'For further details about the simulation, please contact via email: cschen1997@gmail.com.  This dataset is primarily intended for the submission of simulation files and code associated with the letter that has been submitted to IEEE-AWPL. The letter is titled 'Flatness Scanning and Superdirectivity in Planar Antenna Arrays: An Analysis and Design Approach using IDMBSA.'For further details about the simulation, please contact via email: cschen1997@gmail.com.
DOI: 10.25919/8m5p-qt26
title: Parkes observations for project P1161 semester 2022OCTS_05

description: Randomness is the basis of security, privacy, trust and fairness. Cryptographic methods become vulnerable if the underlying randomness is weak or could be biased by the users of the system. Numerous applications rely on “Publicly verifiable randomness” (PVR), where randomness is extracted from a publicly accessible process or object, the output of which can be verified by third parties. With this proposal we wish to determine which pulsars would be most suitable if we wish to produce PVR through observations of pulsars.
DOI: 10.5281/zenodo.10299131
title: RDF Knowledge Graph SemOpenAlex-SemanticWeb

description: SemOpenAlex-SemanticWeb is a subset of the RDF knowledge graph SemOpenAlex (version from 2023-04-24) modeling the Semantic Web Community.
SemOpenAlex-SemanticWeb is a suitable database for creating heterogeneous graph machine learning datasets (e.g., used for GNN-based recommendation and similar tasks).
The RDF knowledge graph consists of 21,978,026 semantic RDF triples including the following entities: works (95,575 entities), semantic web authors (19,970 entities), concepts (38,050 entities), sources (10,739 entities), institutions (5,846 entities) and publishers (786 entities).
Besides the RDF knowledge graph, we provide TransE embeddings for entities and relations (see embeddings.zip).
More information can be found at https://github.com/davidlamprecht/semopenalex-semanticweb.
DOI: 10.5281/zenodo.10299132
title: RDF Knowledge Graph SemOpenAlex-SemanticWeb

description: SemOpenAlex-SemanticWeb is a subset of the RDF knowledge graph SemOpenAlex (version from 2023-04-24) modeling the Semantic Web Community.
SemOpenAlex-SemanticWeb is a suitable database for creating heterogeneous graph machine learning datasets (e.g., used for GNN-based recommendation and similar tasks).
The RDF knowledge graph consists of 21,978,026 semantic RDF triples including the following entities: works (95,575 entities), semantic web authors (19,970 entities), concepts (38,050 entities), sources (10,739 entities), institutions (5,846 entities) and publishers (786 entities).
Besides the RDF knowledge graph, we provide TransE embeddings for entities and relations (see embeddings.zip).
More information can be found at https://github.com/davidlamprecht/semopenalex-semanticweb.
DOI: 10.6084/m9.figshare.24770967
title: Ukraine Crisis in Economics and Business Research

description: <br>Bibliographic Data onUkarine Crisis ιn Economics and Business Research Generated by Koutsoupias Nikosstudied in The War in Ukraine as a Global Economic Crisis (2014-2023)an article by Prof. A. Bitzenis and Prof. N. Koutsoupias, University of Macedonia, GreeceVolume in honor of Elias KouskouvelisEdited by The Council for International Relations - Greece (CfIR-GR)<b>Δεδομένα που μελετήθηκαν στο:</b><b>O Πόλεμος στην Ουκρανία ως Παγκόσμια Οικονομική Κρίση (2014-2023)</b> των Α.Μπιτζενη και Ν.Κουτσουπιαστον τόμο εις μνήμην του καθ. Ηλία Κουσκουβέληεκδ. Συμβουλίου Διεθνών Σχέσεων, Αθήνα, 2024
DOI: 10.6084/m9.figshare.24770967.v3
title: Ukraine Crisis in Economics and Business Research [Bibliographic Data]

description: <br>Bibliographic Data onUkarine Crisis ιn Economics and Business Research Generated by Koutsoupias Nikosstudied in The War in Ukraine as a Global Economic Crisis (2014-2023)an article by Prof. A. Bitzenis and Prof. N. Koutsoupias, University of Macedonia, GreeceVolume in honor of Elias KouskouvelisEdited by The Council for International Relations - Greece (CfIR-GR)<b>Δεδομένα που μελετήθηκαν στο:</b><b>O Πόλεμος στην Ουκρανία ως Παγκόσμια Οικονομική Κρίση (2014-2023)</b> των Α.Μπιτζενη και Ν.Κουτσουπιαστον τόμο εις μνήμην του καθ. Ηλία Κουσκουβέληεκδ. Συμβουλίου Διεθνών Σχέσεων, Αθήνα, 2024
DOI: 10.34740/kaggle/dsv/7153355
title: Monthly Bilateral USD Exchange Rates 2013-2023
DOI: 10.5281/zenodo.10299365
title: Graph Machine Learning Dataset LPWC

description: LPWC is a heterogenous graph machine learning dataset based on the RDF knowledge graph Linked Papers With Code (version from 2023-06-24).
LPWC contains four node types - papers (376,557 nodes), datasets (8,322 nodes), tasks (4,267 nodes) and methods (2,101), and six edge types.
Each node has rich semantic node features for node representation (content-based and topology-based node features are available).
 
More information can be found in README.txt and on https://github.com/davidlamprecht/AutoRDF2GML
DOI: 10.5281/zenodo.10299366
title: Graph Machine Learning Dataset LPWC

description: LPWC is a heterogenous graph machine learning dataset based on the RDF knowledge graph Linked Papers With Code (version from 2023-06-24).
LPWC contains four node types - papers (376,557 nodes), datasets (8,322 nodes), tasks (4,267 nodes) and methods (2,101), and six edge types.
Each node has rich semantic node features for node representation (content-based and topology-based node features are available).
 
More information can be found in README.txt and on https://github.com/davidlamprecht/AutoRDF2GML
DOI: 10.5517/ccdc.csd.cc2f5z3q
title: CCDC 2240063: Experimental Crystal Structure Determination

description: Related Article: Shaozi Sun, Qinglong Zhang, Weiwei Zi|2023|Org.Lett.|25|8397|doi:10.1021/acs.orglett.3c02729
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.cc2fjtyr
title: CCDC 2250505: Experimental Crystal Structure Determination

description: Related Article: Richard C. Knighton, Joseph M. Beames, Simon J. A. Pope|2023|Inorg.Chem.|62|19446|doi:10.1021/acs.inorgchem.3c02352
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.cc2gl6cn
title: CCDC 2281611: Experimental Crystal Structure Determination

description: Related Article: Yoshihiro Takeo, Junichiro Hirano, Norihito Fukui, Hiroshi Shinokubo|2023|Org.Lett.|25|8484|doi:10.1021/acs.orglett.3c03428
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.cc2gl6dp
title: CCDC 2281612: Experimental Crystal Structure Determination

description: Related Article: Yoshihiro Takeo, Junichiro Hirano, Norihito Fukui, Hiroshi Shinokubo|2023|Org.Lett.|25|8484|doi:10.1021/acs.orglett.3c03428
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.cc2gl6fq
title: CCDC 2281613: Experimental Crystal Structure Determination

description: Related Article: Yoshihiro Takeo, Junichiro Hirano, Norihito Fukui, Hiroshi Shinokubo|2023|Org.Lett.|25|8484|doi:10.1021/acs.orglett.3c03428
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.cc2gl6gr
title: CCDC 2281614: Experimental Crystal Structure Determination

description: Related Article: Yoshihiro Takeo, Junichiro Hirano, Norihito Fukui, Hiroshi Shinokubo|2023|Org.Lett.|25|8484|doi:10.1021/acs.orglett.3c03428
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.cc2glbw9
title: CCDC 2281751: Experimental Crystal Structure Determination

description: Related Article: Xiao-Hui Chen, Yun-Meng Li, Xiang Huang, Hai-Lei Cui|2023|J.Org.Chem.|88|16400|doi:10.1021/acs.joc.3c01912
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.cc2gqxrw
title: CCDC 2286149: Experimental Crystal Structure Determination

description: Related Article: Shu-Fang Wu, Guo-Ke Zhang, Xue Wang, Zhuo-Jing He, Yu-Chen Zhang, Feng Shi|2023|J.Org.Chem.|88|16497|doi:10.1021/acs.joc.3c01990
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.cc2gtwdl
title: CCDC 2288990: Experimental Crystal Structure Determination

description: Related Article: Timo Stünkel, Kathrin Siebold, Daichi Okumatsu, Kazuki Murata, Louise Ruyet, Constantin G. Daniliuc, Ryan Gilmour|2023|Chemical Science|14|13574|doi:10.1039/D3SC05952A
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.cc2gtwfm
title: CCDC 2288991: Experimental Crystal Structure Determination

description: Related Article: Timo Stünkel, Kathrin Siebold, Daichi Okumatsu, Kazuki Murata, Louise Ruyet, Constantin G. Daniliuc, Ryan Gilmour|2023|Chemical Science|14|13574|doi:10.1039/D3SC05952A
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.cc2gtwgn
title: CCDC 2288992: Experimental Crystal Structure Determination

description: Related Article: Timo Stünkel, Kathrin Siebold, Daichi Okumatsu, Kazuki Murata, Louise Ruyet, Constantin G. Daniliuc, Ryan Gilmour|2023|Chemical Science|14|13574|doi:10.1039/D3SC05952A
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.cc2gtwhp
title: CCDC 2288993: Experimental Crystal Structure Determination

description: Related Article: Timo Stünkel, Kathrin Siebold, Daichi Okumatsu, Kazuki Murata, Louise Ruyet, Constantin G. Daniliuc, Ryan Gilmour|2023|Chemical Science|14|13574|doi:10.1039/D3SC05952A
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.cc2gvgvn
title: CCDC 2289562: Experimental Crystal Structure Determination

description: Related Article: Yaqun Dong, Miao Li, Guangbin Cheng, Wei Huang, Yuji Liu, Chuan Xiao, Yongxing Tang|2023|J.Mater.Chem.A|11|25992|doi:10.1039/D3TA05041F
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.cc2gvgxq
title: CCDC 2289564: Experimental Crystal Structure Determination

description: Related Article: Yaqun Dong, Miao Li, Guangbin Cheng, Wei Huang, Yuji Liu, Chuan Xiao, Yongxing Tang|2023|J.Mater.Chem.A|11|25992|doi:10.1039/D3TA05041F
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.cc2gvgyr
title: CCDC 2289565: Experimental Crystal Structure Determination

description: Related Article: Yaqun Dong, Miao Li, Guangbin Cheng, Wei Huang, Yuji Liu, Chuan Xiao, Yongxing Tang|2023|J.Mater.Chem.A|11|25992|doi:10.1039/D3TA05041F
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.cc2gvgzs
title: CCDC 2289566: Experimental Crystal Structure Determination

description: Related Article: Yaqun Dong, Miao Li, Guangbin Cheng, Wei Huang, Yuji Liu, Chuan Xiao, Yongxing Tang|2023|J.Mater.Chem.A|11|25992|doi:10.1039/D3TA05041F
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: 10.14278/rodare.2591
title: Data publication: Minor Actinides Can Replace Essential Lanthanides in Bacterial Life

description: Rohdaten aus denen Ergebnisse und Grafiken erstellt wurden um die benötigten Erkenntnisse für diese Publikation zu generieren
DOI: 10.14278/rodare.2590
title: Data publication: Minor Actinides Can Replace Essential Lanthanides in Bacterial Life

description: Rohdaten aus denen Ergebnisse und Grafiken erstellt wurden um die benötigten Erkenntnisse für diese Publikation zu generieren
DOI: 10.14278/rodare.2592
title: Data publication: Ab initio insights on the ultrafast strong-field dynamics of anatase TiO2

description: Data and input scripts of the project "Ab initio insights on the ultrafast strong-field dynamics of anatase TiO2".
DOI: 10.14278/rodare.2593
title: Data publication: Ab initio insights on the ultrafast strong-field dynamics of anatase TiO2

description: Data and input scripts of the project "Ab initio insights on the ultrafast strong-field dynamics of anatase TiO2".
DOI: 10.5281/zenodo.10299428
title: Graph Machine Learning Dataset SOA-SW

description: SOA-SW  is a heterogeneous graph machine learning dataset based on the RDF knowledge graph SemOpenAlex-SemanticWeb.
SOA-SW contains six node types - works (95,575 nodes), authors (19,970 nodes), concepts (38,050 nodes), sources (10,739 nodes), institutions (5,846 nodes), and publishers (786 nodes), and seven edge types.  
Each node has rich semantic node features as node representation (content-based and topology-based node features are available).
More information can be found in the README.txt and on https://github.com/davidlamprecht/AutoRDF2GML.
 
soa-sw-homogeneous-author only models the co-author network of SOA-SW.
It is a homogeneous graph containing the author node type (19,970 nodes) and the edge type author- author.
The authors' content-based features (nodes-nld) are based on the titles and abstracts of the authors' works (128-dimensional SciBERT embeddings).
DOI: 10.5281/zenodo.10299429
title: Graph Machine Learning Dataset SOA-SW

description: SOA-SW  is a heterogeneous graph machine learning dataset based on the RDF knowledge graph SemOpenAlex-SemanticWeb.
SOA-SW contains six node types - works (95,575 nodes), authors (19,970 nodes), concepts (38,050 nodes), sources (10,739 nodes), institutions (5,846 nodes), and publishers (786 nodes), and seven edge types.  
Each node has rich semantic node features as node representation (content-based and topology-based node features are available).
More information can be found in the README.txt and on https://github.com/davidlamprecht/AutoRDF2GML.
 
soa-sw-homogeneous-author only models the co-author network of SOA-SW.
It is a homogeneous graph containing the author node type (19,970 nodes) and the edge type author- author.
The authors' content-based features (nodes-nld) are based on the titles and abstracts of the authors' works (128-dimensional SciBERT embeddings).
DOI: 10.14278/rodare.2288
title: Data publication: Physics-enhanced neural networks for equation-of-state calculations

description: Data for the paper "Physics-enhanced neural networks for equation-of-state calculations"

There are two tar folders:


 
  trained_models.tar: This contains the final trained models
 
 
 atoMEC_data.tar.gz: This contains the output from the average-atom calculations.
 


For a more detailed explanation of the contents of these folders, please consult the README.md file of this GitHub repository
DOI: 10.14278/rodare.2289
title: Data publication: Physics-enhanced neural networks for equation-of-state calculations

description: Data for the paper "Physics-enhanced neural networks for equation-of-state calculations"

There are two tar folders:


 
  trained_models.tar: This contains the final trained models
 
 
 atoMEC_data.tar.gz: This contains the output from the average-atom calculations.
 


For a more detailed explanation of the contents of these folders, please consult the README.md file of this GitHub repository
DOI: 10.34740/kaggle/dsv/7153428
title: Monthly Bilateral USD Exchange Rates 2013-2023
DOI: 10.5281/zenodo.10297775
title: Prominent creep characteristics of thermokarst landslides on the Qinghai-Tibetan Plateau owing to climate warming

description: Thermokarst landslides inventory
DOI: 10.5281/zenodo.8366303
title: Prominent creep characteristics of thermokarst landslides on the Qinghai-Tibetan Plateau owing to climate warming

description: Thermokarst landslides inventory
DOI: 10.5281/zenodo.8366304
title: Prominent creep characteristics of thermokarst landslide on the Qinghai-Tibetan Plateau owing to climate warming

description: Thermokarst landslide inventory
DOI: 10.6084/m9.figshare.24771255
title: 10m resolution ginseng map of Northeast China in 2022

description: This dataset contains the identification results of yellow and blue ginseng sheds in Northeast China in 2022 with a spatial resolution of 10 m and a coordinate system of WGS1984, and all the results are divided by provinces. The production process of this dataset is based on the Sentinel-2 image as the data source, and two novel indices, blue ginseng shed index (BGSI) and yellow ginseng shed index (YGSI), are mainly applied to calculate this dataset.
DOI: 10.6084/m9.figshare.24771255.v1
title: Mapping ginseng in Northeast China using Sentinel-2 data: An automated approach integrating two novel spectral indicesGinseng shedGinseng shedGinseng shedGinseng shedGg'iginginsginseginsengginsengginseng

description: This dataset contains the identification results of yellow and blue ginseng sheds in Northeast China in 2022 with a spatial resolution of 10 m and a coordinate system of WGS1984, and all the results are divided by provinces. The production process of this dataset is based on the Sentinel-2 image as the data source, and two novel indices, blue ginseng shed index (BGSI) and yellow ginseng shed index (YGSI), are mainly applied to calculate this dataset.