cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20220075.v1
title: SciSciNet_Newsfeed_Metadata

description: SciSciNet_Newsfeed_Metadata
DOI: 10.6084/m9.figshare.20220069
title: SciSciNet_PaperAuthorAffiliations

description: SciSciNet_PaperAuthorAffiliations
DOI: 10.6084/m9.figshare.20220072
title: SciSciNet_Papers

description: SciSciNet_Papers
DOI: 10.6084/m9.figshare.20220075
title: SciSciNet_Newsfeed_Metadata

description: SciSciNet_Newsfeed_Metadata
DOI: 10.6084/m9.figshare.20220078
title: SciSciNet_NSF_Metadata

description: SciSciNet_NSF_Metadata
DOI: 10.6084/m9.figshare.20220081
title: SciSciNet_Link_Patents

description: SciSciNet_Link_Patents
DOI: 10.6084/m9.figshare.20220081.v1
title: SciSciNet_Link_Patents

description: SciSciNet_Link_Patents
DOI: 10.6084/m9.figshare.20220084
title: SciSciNet_Link_Twitter

description: SciSciNet_Link_Twitter
DOI: 10.6084/m9.figshare.20220087
title: SciSciNet_PaperFields

description: SciSciNet_PaperFields
DOI: 10.6084/m9.figshare.20220090
title: SciSciNet_Authors

description: SciSciNet_Authors
DOI: 10.6084/m9.figshare.20220093
title: SciSciNet_Fields

description: SciSciNet_Fields
DOI: 10.6084/m9.figshare.21896799
title: SciSciNet_Papers

description: SciSciNet_Papers
DOI: 10.6084/m9.figshare.21896802
title: SciSciNet_Authors_Gender

description: SciSciNet_Authors_Gender
DOI: 10.6084/m9.figshare.22925924
title: Dataset

description: The raw data of manuscript " Relationship between carbon emissions, economic growth, renewable energy consumption, foreign direct investment, and urban population in Vietnam".
DOI: 10.6084/m9.figshare.9789260
title: MiR-155 in type 2 diabetes: association study of rs767649 gene polymorphism and plasma levels with diabetic retinopathy

description: Genotypes of the rs767649 polymorphism and plasma levels of miR-155 in blood donors and patients with type 2 diabetes from Southern Brazil. <br> <strong>Supplementary material for:</strong> Polina ER, Oliveira FM, Sbruzzi RC, Crispim D, Canani LH, Santos KG. Gene polymorphism and plasma levels of miR-155 in diabetic retinopathy. Endocr Connect. 2019 Dec;8(12):1591-1599. doi: 10.1530/EC-19-0446. PMID: 31751306; PMCID: PMC6933831. <br>
DOI: 10.48331/scielo.zum3gl/a3o6ke
title: Scielo_Sucessao editores_Taissa Maio 2023.pptx

description: :unav
DOI: 10.48331/scielo.zum3gl
title: Editor succession models: Are permanent editors always a bad idea?

description: Presentation by Dr Taissa Vila at the ABEC Brazil - SciELO 25 Years Seminar: Editor succession models. Part 1 - Experience of journals from commercial publishers. Event page: https://25.scielo.org/en/seminars/abec-editor-pt1/
DOI: 10.5281/zenodo.7948470
title: Deliverable D6.2 "TOOL FOR PERFORMANCE ASSESSMENT"- USI Travellers, USI TSPs and Effectiveness V3 Module 5 Annex 8

description: This file will introduce the USI Travellers, USI TSPs, and Effectiveness V3 Module 5 (Annex 8) in deliverable D6.2 "TOOL FOR PERFORMANCE ASSESSMENT".
DOI: 10.5281/zenodo.7948469
title: Deliverable D6.2 "TOOL FOR PERFORMANCE ASSESSMENT"- USI Travellers, USI TSPs and Effectiveness V3 Module 5 Annex 8

description: This file will introduce the USI Travellers, USI TSPs, and Effectiveness V3 Module 5 (Annex 8) in deliverable D6.2 "TOOL FOR PERFORMANCE ASSESSMENT".
DOI: 10.5281/zenodo.7528053
title: PIsToN: Evaluating Protein Binding Interfaces with Transformer Networks (dataset)

description: Computational protein-binding studies are widely used to investigate fundamental biological processes and facilitate the development of modern drugs, vaccines, and therapeutics. Scoring functions aim to assess and rank the binding strength of the predicted protein complex. Accurate scoring of protein binding interfaces remains a challenge. PIsToN (evaluating Protein binding Interfaces with Transformer Networks) represents a novel approach to distinguish native-like protein complexes from incorrect conformations. Protein interfaces are transformed into a collection of 2D images (interface maps), each corresponding to a geometric or biochemical property. Pixel intensities represent the feature values. A neural network was adapted from a popular vision transformer (ViT) with several enhancements: a hybrid component to accept empirical-based energy terms, a multi-attention module to highlight essential features and binding sites, and the use of contrastive learning for better ranking performance. The resulting PIsToN model significantly outperforms state-of-the-art scoring functions on well-known datasets. This repository contains proteins and pre-computed interface maps for the PIsToN work.
description: {"references": ["https://doi.org/10.1038/s41592-019-0666-6", "https://doi.org/10.1002/prot.24678", "https://doi.org/10.1038/s41467-021-27396-0"]}
DOI: 10.5281/zenodo.7528054
title: PIsToN: Evaluating Protein Binding Interfaces with Transformer Networks (dataset)

description: Computational protein-binding studies are widely used to investigate fundamental biological processes and facilitate the development of modern drugs, vaccines, and therapeutics. Scoring functions aim to assess and rank the binding strength of the predicted protein complex. Accurate scoring of protein binding interfaces remains a challenge. PIsToN (evaluating Protein binding Interfaces with Transformer Networks) represents a novel approach to distinguish native-like protein complexes from incorrect conformations. Protein interfaces are transformed into a collection of 2D images (interface maps), each corresponding to a geometric or biochemical property. Pixel intensities represent the feature values. A neural network was adapted from a popular vision transformer (ViT) with several enhancements: a hybrid component to accept empirical-based energy terms, a multi-attention module to highlight essential features and binding sites, and the use of contrastive learning for better ranking performance. The resulting PIsToN model significantly outperforms state-of-the-art scoring functions on well-known datasets. This repository contains proteins and pre-computed interface maps for the PIsToN work.
description: {"references": ["https://doi.org/10.1038/s41592-019-0666-6", "https://doi.org/10.1002/prot.24678", "https://doi.org/10.1038/s41467-021-27396-0"]}
DOI: 10.5281/zenodo.7532873
title: PIsToN: Evaluating Protein Binding Interfaces with Transformer Networks (dataset)

description: Computational protein-binding studies are widely used to investigate fundamental biological processes and facilitate the development of modern drugs, vaccines, and therapeutics. Scoring functions aim to assess and rank the binding strength of the predicted protein complex. Accurate scoring of protein binding interfaces remains a challenge. PIsToN (evaluating Protein binding Interfaces with Transformer Networks) represents a novel approach to distinguish native-like protein complexes from incorrect conformations. Protein interfaces are transformed into a collection of 2D images (interface maps), each corresponding to a geometric or biochemical property. Pixel intensities represent the feature values. A neural network was adapted from a popular vision transformer (ViT) with several enhancements: a hybrid component to accept empirical-based energy terms, a multi-attention module to highlight essential features and binding sites, and the use of contrastive learning for better ranking performance. The resulting PIsToN model significantly outperforms state-of-the-art scoring functions on well-known datasets. This repository contains proteins and pre-computed interface maps for the PIsToN work.
description: {"references": ["https://doi.org/10.1038/s41592-019-0666-6", "https://doi.org/10.1002/prot.24678", "https://doi.org/10.1038/s41467-021-27396-0"]}
DOI: 10.5281/zenodo.7948337
title: PIsToN: Evaluating Protein Binding Interfaces with Transformer Networks (dataset)

description: Computational protein-binding studies are widely used to investigate fundamental biological processes and facilitate the development of modern drugs, vaccines, and therapeutics. Scoring functions aim to assess and rank the binding strength of the predicted protein complex. Accurate scoring of protein binding interfaces remains a challenge. PIsToN (evaluating Protein binding Interfaces with Transformer Networks) represents a novel approach to distinguish native-like protein complexes from incorrect conformations. Protein interfaces are transformed into a collection of 2D images (interface maps), each corresponding to a geometric or biochemical property. Pixel intensities represent the feature values. A neural network was adapted from a popular vision transformer (ViT) with several enhancements: a hybrid component to accept empirical-based energy terms, a multi-attention module to highlight essential features and binding sites, and the use of contrastive learning for better ranking performance. The resulting PIsToN model significantly outperforms state-of-the-art scoring functions on well-known datasets. This repository contains proteins and pre-computed interface maps for the PIsToN work.
description: {"references": ["https://doi.org/10.1038/s41592-019-0666-6", "https://doi.org/10.1002/prot.24678", "https://doi.org/10.1038/s41467-021-27396-0"]}
DOI: 10.7910/dvn/icufhs
title: Replication Data for: Crowds and smiles: Visual opportunity structures and the communication of European political leaders during the Covid-19 pandemic

description: Replication Data for the paper "Crowds and smiles: Visual opportunity structures and the communication of European political leaders during the Covid-19 pandemic". Instagram dataset
DOI: 10.3886/e190361v1
title: Data and code for: Measuring Work from Home in the Cross Section

description: The shift to work from home (WFH) has been a large and persistent consequence of the pan- demic. To quantify the effect of WFH on the macroeconomy, researchers have exploited the fact that local labor markets are differentially exposed to this shock, in either empirical or quantitative spatial settings. These analyses require a measure of WFH at disaggregated levels. In this paper, we compare several important measures used in the literature: Barrero, Bloom, and Davis (2021); Bick, Blandin, and Mertens (2022); Dingel and Neiman (2020); and the American Community Survey (ACS). While these measures differ in how comprehensively they measure WFH (e.g., they may or may not include hybrid work), we show that they are highly correlated in the cross section. Therefore, these measures will yield similar causal effects once appropriately scaled by the average level of WFH. We argue that when choosing a particular measure, researchers should carefully consider the trade-off between how comprehensively WFH is measured and measurement error in the survey at the particular level of geographic aggregation.
DOI: 10.3886/e156901v1-138987
title: Data and Code for: The COVID-19 Pandemic Disrupted Both School Bullying and Cyberbullying

description: One-fifth of U.S. high school students report being bullied each year. We use internet search data for real-time tracking of bullying patterns as COVID-19 disrupted in-person schooling. We first show that, pre-pandemic, internet searches contain useful information about actual bullying behavior. We then show that searches for school bullying and cyberbullying dropped 30-35 percent as schools shifted to remote learning in spring 2020. The gradual return to in-person instruction starting in fall 2020 partially returns bullying searches to pre-pandemic levels. This rare positive effect may partly explain recent mixed evidence on the pandemic's impact on students' mental health and well-being.
description: All Google users in the United States. Smallest Geographic Unit: U.S. States
DOI: 10.5517/ccdc.csd.cc2clcq2
title: CCDC 2192404: Experimental Crystal Structure Determination

description: Related Article: Hsiao-Ci Huang, Ya-Chu Hsieh, Pei-Lun Lee, Chi-Chen Lin, Yeu-Shiuan Ho, Wei-Kai Shao, Chi-Tien Hsieh, Mu-Jeng Cheng, Yao-Ting Wu|2023|J.Am.Chem.Soc.|145|10304|doi:10.1021/jacs.3c01647
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.cc2cxb7w
title: CCDC 2201968: Experimental Crystal Structure Determination

description: Related Article: Bálint Kőnig, Gábor Sztanó, Tamás Holczbauer, Tibor Soós|2023|J.Org.Chem.|88|6182|doi:10.1021/acs.joc.3c00207
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.cc2cxb8x
title: CCDC 2201969: Experimental Crystal Structure Determination

description: Related Article: Bálint Kőnig, Gábor Sztanó, Tamás Holczbauer, Tibor Soós|2023|J.Org.Chem.|88|6182|doi:10.1021/acs.joc.3c00207
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.cc2dqm4x
title: CCDC 2226269: Experimental Crystal Structure Determination

description: Related Article: Sheng xiang Gao|2022|CSD Communication|||
description: Related Article: Shengxiang Gao, Junshuai Ding, Shilong Yu, Feng Li|2023|J.Mater.Chem.C|11|6400|doi:10.1039/D2TC05471J
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.cc2dr129
title: CCDC 2226670: Experimental Crystal Structure Determination

description: Related Article: Fei Zhao, Jingyi Zhao, Houting Liu, Yu Wang, Jiaxian Duan, Chenglong Li, Jiaqi Di, Niu Zhang, Xiaoyan Zheng, Pangkuan Chen|2023|J.Am.Chem.Soc.|145|10092|doi:10.1021/jacs.3c00306
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.cc2f3681
title: CCDC 2237402: Experimental Crystal Structure Determination

description: Related Article: Noah Holzer, Jiacheng Jin, Vladimir N. Nesterov, Jatan K. Sharma, Niloofar Zarrabi, Francis D’Souza, Prashanth K. Poddutoori|2023|Inorg.Chem.|62|7097|doi:10.1021/acs.inorgchem.3c00635
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: 10.5519/qd.lmjynsix
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (13495 records)
DOI: 10.5281/zenodo.7942789
title: Predicting Pulsed-Laser Deposition SrTiO3 Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction - gaussian_fit_parameters - sample untreated_162nm

description: RHEED raw dataset and Gaussia fitting parameter dataset for sample "untreated_162nm" in work "Predicting Pulsed Laser Deposition SrTiO<sub>3 </sub>Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction."
DOI: 10.5281/zenodo.7942788
title: Predicting Pulsed-Laser Deposition SrTiO3 Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction - gaussian_fit_parameters - sample untreated_162nm

description: RHEED raw dataset and Gaussia fitting parameter dataset for sample "untreated_162nm" in work "Predicting Pulsed Laser Deposition SrTiO<sub>3 </sub>Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction."
DOI: 10.17028/rd.lboro.22931354
title: Supplementary information file for Exercise rehabilitation in COPD and heart failure: comparison of two national audits

description: Supplementary files for article Exercise rehabilitation in COPD and heart failure: comparison of two national audits Background: Pulmonary (PR) and cardiac rehabilitation (CR) are recommended in the management of chronic obstructive pulmonary disease (COPD) and chronic heart failure (CHF); the impact of coexisting COPD and CHF on completion and outcomes of rehabilitation programmes is unknown. We examined enrolment, completion and clinical outcomes of CR and PR in adults with COPD, CHF and coexisting COPD and CHF. Methods: The National Audit of CR and National COPD Audit Programme: clinical audits of PR were analysed (211 PR and 237 CR programmes); adults with a diagnosis of CHF, COPD or coexisting COPD and CHF were identified (COPD+CHF or CHF+COPD according to database). Propensity matching was conducted (age, sex, body mass index and functional status) between COPD+CHF and COPD, and CHF+COPD and CHF. Group by time interaction was examined using mixed 2×2 analysis of variance. Results: Those with CHF+COPD had lower enrolment and completion of CR compared to those with CHF; there were no differences in PR enrolment or completion between the two groups. Adults with COPD made a significantly larger gain in the incremental shuttle walk test compared to adults with COPD+CHF following PR (59.3 m versus 37.4 m); the improvements following CR were similar (CHF 77.3 m versus CHF+COPD 58.3 m). Similar improvements were made in the 6-min walk test following CR (CHF 45.1 m versus CHF+COPD 38.8 m) and PR (COPD 48.2 m versus COPD+CHF 44.0 m). Comparable improvements in quality of life and mood state were made following CR and PR, regardless of diagnosis. Conclusion: We have demonstrated that multi-morbid adults benefit from exercise-based rehabilitation, yet efforts are needed to promote completion. These findings support group-based, tailored, multi-morbid exercise rehabilitation. <br>
DOI: 10.17028/rd.lboro.22931354.v1
title: Supplementary information file for Exercise rehabilitation in COPD and heart failure: comparison of two national audits

description: Supplementary files for article Exercise rehabilitation in COPD and heart failure: comparison of two national audits Background: Pulmonary (PR) and cardiac rehabilitation (CR) are recommended in the management of chronic obstructive pulmonary disease (COPD) and chronic heart failure (CHF); the impact of coexisting COPD and CHF on completion and outcomes of rehabilitation programmes is unknown. We examined enrolment, completion and clinical outcomes of CR and PR in adults with COPD, CHF and coexisting COPD and CHF. Methods: The National Audit of CR and National COPD Audit Programme: clinical audits of PR were analysed (211 PR and 237 CR programmes); adults with a diagnosis of CHF, COPD or coexisting COPD and CHF were identified (COPD+CHF or CHF+COPD according to database). Propensity matching was conducted (age, sex, body mass index and functional status) between COPD+CHF and COPD, and CHF+COPD and CHF. Group by time interaction was examined using mixed 2×2 analysis of variance. Results: Those with CHF+COPD had lower enrolment and completion of CR compared to those with CHF; there were no differences in PR enrolment or completion between the two groups. Adults with COPD made a significantly larger gain in the incremental shuttle walk test compared to adults with COPD+CHF following PR (59.3 m versus 37.4 m); the improvements following CR were similar (CHF 77.3 m versus CHF+COPD 58.3 m). Similar improvements were made in the 6-min walk test following CR (CHF 45.1 m versus CHF+COPD 38.8 m) and PR (COPD 48.2 m versus COPD+CHF 44.0 m). Comparable improvements in quality of life and mood state were made following CR and PR, regardless of diagnosis. Conclusion: We have demonstrated that multi-morbid adults benefit from exercise-based rehabilitation, yet efforts are needed to promote completion. These findings support group-based, tailored, multi-morbid exercise rehabilitation. <br>
DOI: 10.18112/openneuro.ds004532.v1.2.0
title: EEG: Probabilistic Selection Task (PST) + PST with Cabergoline Challenge
DOI: 10.5281/zenodo.7948623
title: orpus_crassirostris_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7948622
title: orpus_crassirostris_spades_01.fasta.gz

description: .
DOI: 10.6084/m9.figshare.22555483
title: datasetN400amplitudes_GF:role.xlsx

description: Unrelated and related prime word N400 amplitudes at long and short stimulus onset asynchronies for 32 electrode sites for 47 participants at clinical high risk. The data also includes global functioning role scores at baseline, year one and year two.
DOI: 10.5281/zenodo.7948637
title: forpus_crassirostris_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7948636
title: forpus_crassirostris_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7948641
title: UnFAIR dataset for hands-on FAIR data sharing course

description: UnFAIR dataset for hands-on FAIR data sharing course
DOI: 10.5281/zenodo.7948640
title: UnFAIR dataset for hands-on FAIR data sharing course

description: UnFAIR dataset for hands-on FAIR data sharing course
DOI: 10.5281/zenodo.7948673
title: forpus_xanthops_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7948672
title: forpus_xanthops_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7946988
title: Data and Software for "Gullies on Mars could have formed by melting of water ice during periods of high obliquity"

description: Code, movies and climate model outputs for "Gullies on Mars could have formed by melting of water ice during periods of high obliquity" by Dickson et al. Science, 2023.
DOI: 10.5281/zenodo.7946987
title: Data and Software for "Gullies on Mars could have formed by melting of water ice during periods of high obliquity"

description: Code, movies and climate model outputs for "Gullies on Mars could have formed by melting of water ice during periods of high obliquity" by Dickson et al. Science, 2023.
DOI: 10.3886/e159941v1-138988
title: National Neighborhood Data Archive (NaNDA): Primary and Secondary Roads by ZIP Code Tabulation Area, United States, 2010

description: This dataset contains measures of primary and secondary roads (highways and main arteries) per United States ZIP code tabulation area (ZCTA) in 2010. These measures may be used as a proxy for heavy traffic, high traffic speeds, and impediments to walking or biking. Variables include: counts of primary, secondary, and all streets per ZCTA; total length of primary, secondary, and all streets per ZCTA; ratio of primary and/or secondary road counts to all roads; and ratio of length of primary/secondary roads to all roads.
description: ZIP code tabulation areas in the United States, excluding U.S. island territories. Smallest Geographic Unit: ZIP code tabulation area
description: A ZIP code to ZCTA crosswalk must be used to combine this dataset with ZIP code geocoded data. Such a crosswalk is available on the UDS Mapper website at https://udsmapper.org/zip-code-to-zcta-crosswalk/. Sample code for merging the UDS Mapper crosswalk with NaNDA datasets is available on the NaNDA repository at https://www.openicpsr.org/openicpsr/project/120088/.