cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16799410
title: Supplementary Material for: A Longitudinal Study on the Mental Health of College Students in Jinan During the Peak Stage of the COVID-19 Epidemic and the Society Reopening

description: <b><i>Introduction:</i></b> COVID-19, a continuously emerging human-to-human infectious disease, has exerted a significant impact on the mental health of college students. However, little is known regarding the variations in the mental health issues experienced by college students during the peak versus reopening stages of the COVID-19 epidemic in China. <b><i>Methods:</i></b> To assess these issues, an online longitudinal survey was conducted via a WeChat applet. Undergraduates (<i>n</i> = 300) were recruited from 26 universities throughout Jinan in February 2020 (T1 – the epidemic peak stage) and in January 2021 (T2 – the society reopening stage). Their mental status was determined using the Patient Health Questionnaire-9, the Generalized Anxiety Disorder-7 item, and the Insomnia Severity Index. <b><i>Results:</i></b> Of the original 300 college students recruited for this survey, 294 responses at T1 and 285 at T2 were analyzed. Compared with responses obtained at T1, college students at T2 showed a greater prevalence of depression (65.3 vs. 51.0%; <i>p</i> = 0.001) and anxiety (47.7 vs. 38.1%, <i>p</i> = 0.019), and experienced more severe depression (<i>p</i> &lt; 0.001) and anxiety (<i>p</i> &lt; 0.001). Both males (<i>p</i> = 0.03) and females (<i>p</i> &lt; 0.01) showed higher levels of depression at T2 versus T1, while no differences were obtained with regard to anxiety and insomnia. At T1, Grade 4 students showed greater levels of depression (<i>p</i> = 0.005) and anxiety (<i>p</i> = 0.008) than that of Grade 1 students. While at T2, only greater levels of depression (<i>p</i> = 0.004) were present when compared with that of Grade 1 students. Additionally, Grade 4 college students demonstrated a greater prevalence of depression at T2 versus T1 (<i>p</i> = 0.03), but no statistically differences were present for anxiety and insomnia. No statistically significant differences were obtained among the 4 grades of college students for insomnia at either the T1 or T2. <b><i>Conclusion:</i></b> With progression of the COVID-19 epidemic, college students showed increasing levels of depression and anxiety, with Grade 4 college students being most seriously affected. It is imperative that intervention strategies be implemented to mitigate against these mental health issues resulting from the COVID-19 epidemic.
DOI: 10.15482/usda.adc/1523365
title: LTAR Phosphorus Budget Summary
DOI: 10.5281/zenodo.5563012
title: Supplementary information and videos

description: Supplementary information and videos
DOI: 10.5281/zenodo.5362351
title: Supplementary information and videos

description: Supplementary information and videos
DOI: 10.5517/ccdc.csd.cc2259yj
title: CCDC 1911737: Experimental Crystal Structure Determination

description: Related Article: Rui Zhang, Ying Xia, Guangbin Dong|2021|Angew.Chem.,Int.Ed.|60|20476|doi:10.1002/anie.202106007
DOI: 10.5517/ccdc.csd.cc22gbxt
title: CCDC 1920416: Experimental Crystal Structure Determination

description: Related Article: Guillaume Bousrez, Olivier Renier, Steven P. Kelley, Brando Adranno, Elnaz Tahavori, Hatem M. Titi, Volodymyr Smetana, Si-Fu Tang, Anja-Verena Mudring, Robin D. Rogers|2021|Chem.-Eur.J.|27|13181|doi:10.1002/chem.202100141
DOI: 10.5517/ccdc.csd.cc22gbyv
title: CCDC 1920417: Experimental Crystal Structure Determination

description: Related Article: Guillaume Bousrez, Olivier Renier, Steven P. Kelley, Brando Adranno, Elnaz Tahavori, Hatem M. Titi, Volodymyr Smetana, Si-Fu Tang, Anja-Verena Mudring, Robin D. Rogers|2021|Chem.-Eur.J.|27|13181|doi:10.1002/chem.202100141
DOI: 10.5517/ccdc.csd.cc22gbzw
title: CCDC 1920418: Experimental Crystal Structure Determination

description: Related Article: Guillaume Bousrez, Olivier Renier, Steven P. Kelley, Brando Adranno, Elnaz Tahavori, Hatem M. Titi, Volodymyr Smetana, Si-Fu Tang, Anja-Verena Mudring, Robin D. Rogers|2021|Chem.-Eur.J.|27|13181|doi:10.1002/chem.202100141
DOI: 10.5517/ccdc.csd.cc22gc0y
title: CCDC 1920419: Experimental Crystal Structure Determination

description: Related Article: Guillaume Bousrez, Olivier Renier, Steven P. Kelley, Brando Adranno, Elnaz Tahavori, Hatem M. Titi, Volodymyr Smetana, Si-Fu Tang, Anja-Verena Mudring, Robin D. Rogers|2021|Chem.-Eur.J.|27|13181|doi:10.1002/chem.202100141
DOI: 10.5517/ccdc.csd.cc22gc1z
title: CCDC 1920420: Experimental Crystal Structure Determination

description: Related Article: Guillaume Bousrez, Olivier Renier, Steven P. Kelley, Brando Adranno, Elnaz Tahavori, Hatem M. Titi, Volodymyr Smetana, Si-Fu Tang, Anja-Verena Mudring, Robin D. Rogers|2021|Chem.-Eur.J.|27|13181|doi:10.1002/chem.202100141
DOI: 10.5517/ccdc.csd.cc22gc20
title: CCDC 1920421: Experimental Crystal Structure Determination

description: Related Article: Guillaume Bousrez, Olivier Renier, Steven P. Kelley, Brando Adranno, Elnaz Tahavori, Hatem M. Titi, Volodymyr Smetana, Si-Fu Tang, Anja-Verena Mudring, Robin D. Rogers|2021|Chem.-Eur.J.|27|13181|doi:10.1002/chem.202100141
DOI: 10.5517/ccdc.csd.cc22gc31
title: CCDC 1920422: Experimental Crystal Structure Determination

description: Related Article: Guillaume Bousrez, Olivier Renier, Steven P. Kelley, Brando Adranno, Elnaz Tahavori, Hatem M. Titi, Volodymyr Smetana, Si-Fu Tang, Anja-Verena Mudring, Robin D. Rogers|2021|Chem.-Eur.J.|27|13181|doi:10.1002/chem.202100141
DOI: 10.5517/ccdc.csd.cc22gc42
title: CCDC 1920423: Experimental Crystal Structure Determination

description: Related Article: Guillaume Bousrez, Olivier Renier, Steven P. Kelley, Brando Adranno, Elnaz Tahavori, Hatem M. Titi, Volodymyr Smetana, Si-Fu Tang, Anja-Verena Mudring, Robin D. Rogers|2021|Chem.-Eur.J.|27|13181|doi:10.1002/chem.202100141
DOI: 10.5517/ccdc.csd.cc22gc53
title: CCDC 1920424: Experimental Crystal Structure Determination

description: Related Article: Guillaume Bousrez, Olivier Renier, Steven P. Kelley, Brando Adranno, Elnaz Tahavori, Hatem M. Titi, Volodymyr Smetana, Si-Fu Tang, Anja-Verena Mudring, Robin D. Rogers|2021|Chem.-Eur.J.|27|13181|doi:10.1002/chem.202100141
DOI: 10.5517/ccdc.csd.cc22gc64
title: CCDC 1920425: Experimental Crystal Structure Determination

description: Related Article: Guillaume Bousrez, Olivier Renier, Steven P. Kelley, Brando Adranno, Elnaz Tahavori, Hatem M. Titi, Volodymyr Smetana, Si-Fu Tang, Anja-Verena Mudring, Robin D. Rogers|2021|Chem.-Eur.J.|27|13181|doi:10.1002/chem.202100141
DOI: 10.5517/ccdc.csd.cc22gc75
title: CCDC 1920426: Experimental Crystal Structure Determination

description: Related Article: Guillaume Bousrez, Olivier Renier, Steven P. Kelley, Brando Adranno, Elnaz Tahavori, Hatem M. Titi, Volodymyr Smetana, Si-Fu Tang, Anja-Verena Mudring, Robin D. Rogers|2021|Chem.-Eur.J.|27|13181|doi:10.1002/chem.202100141
DOI: 10.5517/ccdc.csd.cc22gc86
title: CCDC 1920427: Experimental Crystal Structure Determination

description: Related Article: Guillaume Bousrez, Olivier Renier, Steven P. Kelley, Brando Adranno, Elnaz Tahavori, Hatem M. Titi, Volodymyr Smetana, Si-Fu Tang, Anja-Verena Mudring, Robin D. Rogers|2021|Chem.-Eur.J.|27|13181|doi:10.1002/chem.202100141
DOI: 10.5517/ccdc.csd.cc22gc97
title: CCDC 1920428: Experimental Crystal Structure Determination

description: Related Article: Guillaume Bousrez, Olivier Renier, Steven P. Kelley, Brando Adranno, Elnaz Tahavori, Hatem M. Titi, Volodymyr Smetana, Si-Fu Tang, Anja-Verena Mudring, Robin D. Rogers|2021|Chem.-Eur.J.|27|13181|doi:10.1002/chem.202100141
DOI: 10.5517/ccdc.csd.cc22gcfc
title: CCDC 1920432: Experimental Crystal Structure Determination

description: Related Article: Guillaume Bousrez, Olivier Renier, Steven P. Kelley, Brando Adranno, Elnaz Tahavori, Hatem M. Titi, Volodymyr Smetana, Si-Fu Tang, Anja-Verena Mudring, Robin D. Rogers|2021|Chem.-Eur.J.|27|13181|doi:10.1002/chem.202100141
DOI: 10.5517/ccdc.csd.cc22gcgd
title: CCDC 1920433: Experimental Crystal Structure Determination

description: Related Article: Guillaume Bousrez, Olivier Renier, Steven P. Kelley, Brando Adranno, Elnaz Tahavori, Hatem M. Titi, Volodymyr Smetana, Si-Fu Tang, Anja-Verena Mudring, Robin D. Rogers|2021|Chem.-Eur.J.|27|13181|doi:10.1002/chem.202100141
DOI: 10.5517/ccdc.csd.cc22gchf
title: CCDC 1920434: Experimental Crystal Structure Determination

description: Related Article: Guillaume Bousrez, Olivier Renier, Steven P. Kelley, Brando Adranno, Elnaz Tahavori, Hatem M. Titi, Volodymyr Smetana, Si-Fu Tang, Anja-Verena Mudring, Robin D. Rogers|2021|Chem.-Eur.J.|27|13181|doi:10.1002/chem.202100141
DOI: 10.5517/ccdc.csd.cc22gcjg
title: CCDC 1920435: Experimental Crystal Structure Determination

description: Related Article: Guillaume Bousrez, Olivier Renier, Steven P. Kelley, Brando Adranno, Elnaz Tahavori, Hatem M. Titi, Volodymyr Smetana, Si-Fu Tang, Anja-Verena Mudring, Robin D. Rogers|2021|Chem.-Eur.J.|27|13181|doi:10.1002/chem.202100141
DOI: 10.5517/ccdc.csd.cc2363ct
title: CCDC 1942285: Experimental Crystal Structure Determination

description: Related Article: Dan Liu, Qing Liao, Qian Peng, Haikuo Gao, Qi Sun, Jianbo De, Can Gao, Zhagen Miao, Zhengsheng Qin, Jiaxin Yang, Hongbing Fu, Zhigang Shuai, Huanli Dong, Wenping Hu|2021|Angew.Chem.,Int.Ed.|60|20274|doi:10.1002/anie.202108224
DOI: 10.5517/ccdc.csd.cc25c19x
title: CCDC 2006608: Experimental Crystal Structure Determination

description: Related Article: Panjie Hu, Lingheng Kong, Fen Wang, Xiaolin Zhu, Xingwei Li|2021|Angew.Chem.,Int.Ed.|60|20424|doi:10.1002/anie.202106871
DOI: 10.5517/ccdc.csd.cc25dg46
title: CCDC 2007967: Experimental Crystal Structure Determination

description: Related Article: Hong Qin, Zhao Yang, Zhen Zhang, Chengkou Liu, Wei He, Zheng Fang, Kai Guo|2021|Chem.-Eur.J.|27|13024|doi:10.1002/chem.202101527
DOI: 10.5517/ccdc.csd.cc25gh9g
title: CCDC 2009925: Experimental Crystal Structure Determination

description: Related Article: Sara Sabater, David Schmidt, Heidi (née Schneider) Schmidt, Maximilian W. Kuntze-Fechner, Thomas Zell, Connie J. Isaac, Nasir A. Rajabi, Harry Grieve, William J. M. Blackaby, John P. Lowe, Stuart A. Macgregor, Mary F. Mahon, Udo Radius, Michael K. Whittlesey|2021|Chem.-Eur.J.|27|13221|doi:10.1002/chem.202101484
DOI: 10.5517/ccdc.csd.cc25ghbh
title: CCDC 2009926: Experimental Crystal Structure Determination

description: Related Article: Sara Sabater, David Schmidt, Heidi (née Schneider) Schmidt, Maximilian W. Kuntze-Fechner, Thomas Zell, Connie J. Isaac, Nasir A. Rajabi, Harry Grieve, William J. M. Blackaby, John P. Lowe, Stuart A. Macgregor, Mary F. Mahon, Udo Radius, Michael K. Whittlesey|2021|Chem.-Eur.J.|27|13221|doi:10.1002/chem.202101484
DOI: 10.5517/ccdc.csd.cc25ghhn
title: CCDC 2009931: Experimental Crystal Structure Determination

description: Related Article: Sara Sabater, David Schmidt, Heidi (née Schneider) Schmidt, Maximilian W. Kuntze-Fechner, Thomas Zell, Connie J. Isaac, Nasir A. Rajabi, Harry Grieve, William J. M. Blackaby, John P. Lowe, Stuart A. Macgregor, Mary F. Mahon, Udo Radius, Michael K. Whittlesey|2021|Chem.-Eur.J.|27|13221|doi:10.1002/chem.202101484
DOI: 10.5517/ccdc.csd.cc25ghkq
title: CCDC 2009933: Experimental Crystal Structure Determination

description: Related Article: Sara Sabater, David Schmidt, Heidi (née Schneider) Schmidt, Maximilian W. Kuntze-Fechner, Thomas Zell, Connie J. Isaac, Nasir A. Rajabi, Harry Grieve, William J. M. Blackaby, John P. Lowe, Stuart A. Macgregor, Mary F. Mahon, Udo Radius, Michael K. Whittlesey|2021|Chem.-Eur.J.|27|13221|doi:10.1002/chem.202101484
DOI: 10.5517/ccdc.csd.cc25ghms
title: CCDC 2009935: Experimental Crystal Structure Determination

description: Related Article: Sara Sabater, David Schmidt, Heidi (née Schneider) Schmidt, Maximilian W. Kuntze-Fechner, Thomas Zell, Connie J. Isaac, Nasir A. Rajabi, Harry Grieve, William J. M. Blackaby, John P. Lowe, Stuart A. Macgregor, Mary F. Mahon, Udo Radius, Michael K. Whittlesey|2021|Chem.-Eur.J.|27|13221|doi:10.1002/chem.202101484
DOI: 10.5517/ccdc.csd.cc25ghnt
title: CCDC 2009936: Experimental Crystal Structure Determination

description: Related Article: Sara Sabater, David Schmidt, Heidi (née Schneider) Schmidt, Maximilian W. Kuntze-Fechner, Thomas Zell, Connie J. Isaac, Nasir A. Rajabi, Harry Grieve, William J. M. Blackaby, John P. Lowe, Stuart A. Macgregor, Mary F. Mahon, Udo Radius, Michael K. Whittlesey|2021|Chem.-Eur.J.|27|13221|doi:10.1002/chem.202101484
DOI: 10.5517/ccdc.csd.cc25grkz
title: CCDC 2010181: Experimental Crystal Structure Determination

description: Related Article: Pablo Redero, Thierry Hartung, Jianwei Zhang, Leo D. M. Nicholls, Guo Zichen, Martin Simon, Christopher Golz, Manuel Alcarazo|2020|Angew.Chem.,Int.Ed.|59|23527|doi:10.1002/anie.202010021
description: Related Article: Samuel Suárez-Pantiga, Pablo Redero, Xaiza Aniban, Martin Simon, Christopher Golz, Ricardo A. Mata, Manuel Alcarazo|2021|Chem.-Eur.J.|27|13358|doi:10.1002/chem.202102585
DOI: 10.5281/zenodo.5154216
title: Model America - WRF Grid Cell Archetype extract from ORNL's AutoBEM

description: Oak Ridge National Laboratory (ORNL) has developed the Automatic Building Energy Modeling (AutoBEM) software suite to process multiple types of data, extract building-specific descriptors, generate building energy models, and simulate them on High Performance Computing (HPC) resources. For more information, see AutoBEM-related publications (bit.ly/AutoBEM). <strong>Critical note: Building multipliers and models will be updated soon.</strong> Two sets of data are provided for 298,084 building <strong>archetypes</strong> located within the boundary of WRF (Weather Research and Forecasting) model in and around Los Angeles (United States): <strong>Data (46.4MB *.csv) - minimalist list of each building (rows) for the following fields (columns)</strong> ID - unique building ID Area - estimate of total conditioned floor area (ft<sup>2</sup>) CZ - ASHRAE Climate Zone designation Height - building height (ft) NumFloors - number of floors (above-grade) BuildingType - DOE prototype building designation (IECC=residential) as implemented by OpenStudio-standards Standard - building vintage WWR_surfaces - percent of each facade (pair of points from Footprint2D) covered by fenestration/windows (average 14.5% for residential, 40% for commercial buildings) Area2D - footprint area (ft<sup>2</sup>) Num_build_per_zone - Number of this building type/vintage in WRF zone Total_zone_area - Total area of this building type/vintage in WRF zone (ft<sup>2</sup>) Area_multiplier - Scaling factor for building type/vintage for building in WRF zone Vintage - Generalized "Standard" BuildingType_general - Generalized "BuildingType" Zone_ID - ID of WRF zone <strong>Models (6.3GB *.zip) - EnergyPlus building energy models named according to ID</strong> Each model has approximately 3,000 building input descriptors that can be extracted. Please see the EnergyPlus (v9.4) 2,784-page Input/Output Reference Guide for everything that can be retrieved or simulated from these models.
DOI: 10.6084/m9.figshare.14595987
title: Code & Data for PAG et al, Ethology "Testosterone and signal coloration, but not signal color perception, predict contest behaviors and outcomes in male zebra finches"

description: Includes all code and data used in the analyses presented in the MS. <br><br>NOTE--for code related to producing the figures, contact the author of the MS. This code involves datasets that are too large to be uploaded to FigShare.<br>
DOI: 10.6084/m9.figshare.14595987.v1
title: Code & Data for PAG et al, Ethology "Testosterone and signal coloration, but not signal color perception, predict contest behaviors and outcomes in male zebra finches"

description: Includes all code and data used in the analyses presented in the MS. <br><br>NOTE--for code related to producing the figures, contact the author of the MS. This code involves datasets that are too large to be uploaded to FigShare.<br>
DOI: 10.21227/z3gg-8b29
title: Handwritten MODI Characters

description: “MODI lipi” is one of the scripts used to write religious scriptures of Maharashtra in Western India and it was also the official script for the Maratha administration from the 17th century to the middle of the 20th century. This cultural treasure, “MODI-manuscript,” speaks about the history of its time. Although it has immense importance as a source of inspiration and information to the present generation, very few people know this “lipi”. MODI was used for 700 years in Maharashtra for writing in ‘Marathi’. There are millions of historical documents are available in The State Archive Department Pune and various places of India. Very few MODI experts are there who can read those documents. Therefore, a system must be developed for recognition of ‘MODI’. To develop such a system, handwritten character image samples are required. So, we have collected and created handwritten MODI character dataset. The complete dataset included 46 classes (characters), namely 10 vowels and 36 consonants.
DOI: 10.5281/zenodo.5563000
title: Moon Crater Data

description: I create a data set inspired by the deep moon toolchain. image size is 256x256 pixel the image count is 300k. H5 File structure: /image &lt;- images (300k, 256, 256) /mask &lt;- the targets (300k, 256, 256) /names &lt;- name reference for additional parameter in the json file (300k)
DOI: 10.5281/zenodo.5565181
title: Data on Predictive Resilience of Interdependent Water and Transportation Infrastructures: A Sociotechnical Approach

description: Interdependent critical infrastructures are vulnerable to the cascading effect of failures resulting from random failures and natural disasters. The data provided in this work is the processed data used for the proposed resilience assessment framework for interdependent water-transportation networks dealing with both types of failure \citep{1}. The case study is the interconnected networks of water and transportation in Tampa, Florida. The data for the random failure is obtained from the developed algorithmic framework and the land use and social vulnerability data provided by U.S. Census datasets. We then used a subset of this produced data to construct the predictive models for the network resilience to random failures. As for the natural disaster scenario, we focused on hurricane Irma in 2017 as it directly affected the focused region in Florida. We used the specific guidelines and the raw flooding data for this hurricane provided by FEMA to estimate the standing water for each geographical area (polygons) and the associated network components. We labeled the areas as failed and undamaged based on the estimated water levels. Finally, we used this data for developing a geospatial Geographical Weighted Regression (GWR) model to predict the resilience in each polygon. We present the final dataset for water and transportation networks to facilitate reusability for any future resilience study in the selected urban area.
DOI: 10.5281/zenodo.5565180
title: Data on Predictive Resilience of Interdependent Water and Transportation Infrastructures: A Sociotechnical Approach

description: Interdependent critical infrastructures are vulnerable to the cascading effect of failures resulting from random failures and natural disasters. The data provided in this work is the processed data used for the proposed resilience assessment framework for interdependent water-transportation networks dealing with both types of failure \citep{1}. The case study is the interconnected networks of water and transportation in Tampa, Florida. The data for the random failure is obtained from the developed algorithmic framework and the land use and social vulnerability data provided by U.S. Census datasets. We then used a subset of this produced data to construct the predictive models for the network resilience to random failures. As for the natural disaster scenario, we focused on hurricane Irma in 2017 as it directly affected the focused region in Florida. We used the specific guidelines and the raw flooding data for this hurricane provided by FEMA to estimate the standing water for each geographical area (polygons) and the associated network components. We labeled the areas as failed and undamaged based on the estimated water levels. Finally, we used this data for developing a geospatial Geographical Weighted Regression (GWR) model to predict the resilience in each polygon. We present the final dataset for water and transportation networks to facilitate reusability for any future resilience study in the selected urban area.
DOI: 10.25345/c5dv98
title: MassIVE MSV000088223 - Archangium primigenium Fractoions
title: Archangium primigenium Fractoions
DOI: 10.5281/zenodo.5562852
title: High-pressure X-ray diffraction data for arsenolite helium inclusion compound

description: High-pressure x-ray diffraction data for arsenolite inclusion compound with helium collected at the European Synchrotron Radiation Facility.
DOI: 10.5281/zenodo.5562851
title: High-pressure X-ray diffraction data for arsenolite helium inclusion compound

description: High-pressure x-ray diffraction data for arsenolite inclusion compound with helium collected at the European Synchrotron Radiation Facility.
DOI: 10.6092/unibo/amsacta/6777
title: Bibliografia delle traduzioni Italiane delle opere di Sade

description: Il dataset contiene l’elenco delle traduzioni italiane pubblicate a partire dalle opere di D. A. F. DE SADE ed è complementare a un articolo sulla ricezione dell’autore in Italia attraverso le traduzioni di cui furono oggetto le sue opere (Daniela Gallingani, Sade vu par les traducteurs italiens, in un volume a cura di Piero Schiavo, Martin Rueff, Diego Donna, di prossima pubblicazione presso BUP, Bologna). Per la ricerca, ci si è avvalsi principalmente di strumenti come l’Opac SBN nazionale e la BNI (Bibliografia Nazionale Italiana 1958-2007), incrociando i dati ottenuti con i risultati dello spoglio di alcuni cataloghi di librerie online (soprattutto di librerie antiquarie per le traduzioni più datate). In alcuni casi sono state contattate direttamente le biblioteche che possedevano esemplari catalogati con informazioni lacunose per recuperare i dati necessari, laddove possible.
DOI: 10.5281/zenodo.5565220
title: AMiner-534K - Dataset

description: This dataset is a knowledge graph extracted from a AMiner benchmark for a research project on knowledge graph embeddings (KGEs) for author disambiguation. Structural triples of the knowledge graph are split into training, testing and validation for applying representation learning methods. Textual literals and numeric literals were stored separately in order to implement multimodal approaches for KGEs (see arXiv:1802.00934). For the same reason, textual literals and numeric literals are already stored into sentence embeddings and a numeric matrix respectively in the files <em>textual_literals.npy </em>and <em>numeric_literals.npy</em>. For the script used to gather this dataset see the GitHub repository: https://github.com/sntcristian/and-kge/tree/main/aminer.
DOI: 10.5281/zenodo.5565219
title: AMiner-534K - Dataset

description: This dataset is a knowledge graph extracted from a AMiner benchmark for a research project on knowledge graph embeddings (KGEs) for author disambiguation. Structural triples of the knowledge graph are split into training, testing and validation for applying representation learning methods. Textual literals and numeric literals were stored separately in order to implement multimodal approaches for KGEs (see arXiv:1802.00934). For the same reason, textual literals and numeric literals are already stored into sentence embeddings and a numeric matrix respectively in the files <em>textual_literals.npy </em>and <em>numeric_literals.npy</em>. For the script used to gather this dataset see the GitHub repository: https://github.com/sntcristian/and-kge/tree/main/aminer.
DOI: 10.5281/zenodo.5565289
title: First Dataset - Open Sciences 21/22 - Team 4

description: First Dataset of the discipline Open Sciences 21/22. Uploaded by the team 4.
DOI: 10.5281/zenodo.5565288
title: First Dataset - Open Sciences 21/22 - Team 4

description: First Dataset of the discipline Open Sciences 21/22. Uploaded by the team 4.