cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24057012.v1
title: Supplementary Material for: Exocrine pancreatic insufficiency possibly related to atypical chronic graft-versus-host disease

description: We report the case of a 66-year-old woman who presented with diarrhea and weight loss approximately fourteen months after unrelated allogeneic bone marrow transplantation for acute myeloid leukemia. Her early post-transplant course was notable for mild acute skin graft-versus-host disease (GVHD) and biopsy-proven upper gastrointestinal (GI) acute GVHD, both of which resolved with treatment. She then developed weight loss and diarrhea treated with prednisolone for what was thought to be GI late acute GVHD. However, her diarrhea and weight loss persisted. Colonoscopyn biopsies showed a grossly intact mucosa, and stool studies only confirmed steatorrhea. were negative for GI late acute GVHD; Hhowever, an atrophic pancreas was found on an abdominal computed tomography (CT) scan. Exocrine pancreatic enzymes, such as lipase and pancreatic amylase, were markedly decreased, yet pancreatic endocrine function remained intact. The patient’s diarrhea and weight loss improved upon treatment with pancrelipase. Therefore, we suggest that her exocrine pancreatic insufficiency was likely partly caused mediated by atypicalpossibly related to atypical chronic GVHD.
DOI: 10.15468/csyamc
title: Contribution to the Asian and Afrotropical species of the genus Dyschiriodes (Coleoptera: Carabidae: Scaritinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Bulirsch, Petr (2009): Contribution to the Asian and Afrotropical species of the genus Dyschiriodes (Coleoptera: Carabidae: Scaritinae). Acta Entomologica Musei Nationalis Pragae (suppl.) 49 (2): 559-576, DOI: http://doi.org/10.5281/zenodo.4468137
DOI: 10.6084/m9.figshare.24056790.v1
title: Supplementary Material for: Prevalence of trimethoprim-sulfamethoxazole adverse reaction mislabelling in Australia

description: Introduction: Trimethoprim-sulfamethoxazole (TMP-SMX) is an important antibiotic, with the most compelling indications for Pneumocystis jirovecii pneumonia prophylaxis and methicillin-resistant Staphylococcus aureus treatment. Previous adverse reactions (AR) to TMP-SMX may limit the usability of TMP-SMX. Electronic medical record (EMR) recording of AR for other antibiotics has previously been shown to be inaccurate; however, the extent to which this occurs for TMP-SMX is unknown. Methods: A multi-centre retrospective observational study was conducted for consecutive inpatient admissions over a 2.5-year period commencing 2020. Adverse reactions to TMP-SMX recorded in the EMR were collected and reviewed by two independent medical officers using a pre-defined expert criteria for the classification of allergies and intolerances. Results: TMP-SMX AR were present in the EMR of 759 individuals (prevalence 0.6%). The majority were labelled as allergy (725, 95.5%) rather than intolerance (34, 4.5%). Most common AR were rash, vomiting, and swelling. When classified against the gold-standard expert criteria, there were 437 allergies (57.6%) and 159 intolerances (21.0%). Overall, the number of incorrect EMR AR labels was 133/759 (17.5%). Both medical and surgical specialties had significant numbers of patients with TMP-SMX AR labels and incorrectly classified EMR AR labels. Conclusion: TMP-SMX AR labels affect inpatients admitted under multiple specialty units. The user-entered categorisation as allergy or intolerance labels in EMRs are frequently used incorrectly. These incorrect labels may inappropriately contraindicate the use of TMP-SMX, and formal evaluation of TMP-SMX ARs with immunologic assessment and relabelling where appropriate may increase use of this agent.
DOI: 10.6084/m9.figshare.19904953
title: Supporting information - Molecular-dynamics-based generation of high affinity hACE2 decoys for neutralization of SARS-CoV-2 complemented by artificial neural network preselection

description: Supporting information and datsets for the article <strong>Molecular-dynamics-based generation of high affinity hACE2 decoys for neutralization of SARS-CoV-2 complemented by artificial neural network preselection</strong>
DOI: 10.6084/m9.figshare.19904953.v1
title: Supporting information - Molecular-dynamics-based generation of high affinity hACE2 decoys for neutralization of SARS-CoV-2 complemented by artificial neural network preselection

description: Supporting information and datsets for the article <strong>Molecular-dynamics-based generation of high affinity hACE2 decoys for neutralization of SARS-CoV-2 complemented by artificial neural network preselection</strong>
DOI: 10.5281/zenodo.8321586
title: Webis-News-Bias-20

description: This is the dataset used in the paper "Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity." The news articles are stored in json format, one news each line. For each news, there are following fields: - title: the title of the news<br> - content: the content of the news<br> - source: the news portal<br> - allsides_bias: the bias indicated in the allsides.com (left, center, or right)<br> - misc: other information, such as author, date, and topics<br> - adfontes_fair: the labels from adfontesmedia.com, whehter the article is fair or not (bias, neutral, or unknown)<br> - adfontes_political: the labels from adfontesmedia.com, whether the article is political bias or not (bias, neutral, or unknown)<br> - event_id: the event id. Articles with the same event have the same id
DOI: 10.5281/zenodo.8321585
title: Webis-News-Bias-20

description: This is the dataset used in the paper "Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity." The news articles are stored in json format, one news each line. For each news, there are following fields: - title: the title of the news<br> - content: the content of the news<br> - source: the news portal<br> - allsides_bias: the bias indicated in the allsides.com (left, center, or right)<br> - misc: other information, such as author, date, and topics<br> - adfontes_fair: the labels from adfontesmedia.com, whehter the article is fair or not (bias, neutral, or unknown)<br> - adfontes_political: the labels from adfontesmedia.com, whether the article is political bias or not (bias, neutral, or unknown)<br> - event_id: the event id. Articles with the same event have the same id
DOI: 10.15468/x6898n
title: A new species of Cofana associated with grasses from India (Hemiptera: Cicadellidae: Cicadellinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Meshram, Naresh M., Ramamurthy, Vilayanoor V. (2014): A new species of Cofana associated with grasses from India (Hemiptera: Cicadellidae: Cicadellinae). Acta Entomologica Musei Nationalis Pragae (suppl.) 54 (1): 57-64, DOI: http://doi.org/10.5281/zenodo.4468227
DOI: 10.5281/zenodo.7388342
title: Associated results of Phase 1 of the Urban-PLUMBER model evaluation project

description: <strong>Archive of: https://urban-plumber.github.io/AU-Preston/plots/</strong> Files in this folder are associated with the manuscript: “Evaluation of 30 urban land surface models in the Urban-PLUMBER project: Phase 1 results” Files are an archive of the website https://urban-plumber.github.io/AU-Preston/plots/ as of 2nd December 2022. Use of any data must give credit through citation of the above manuscript, the data repository, and other site references as appropriate. Corresponding author: Mathew Lipson (mathew.lipson@bom.gov.au) <strong>Usage</strong> Load the "index.html" to navigate through plots and results subpages <strong>Description</strong> These files include results from Phase 1 of the Urban-PLUMBER model evaluation project for urban areas. Data includes: - individual model results (error metrics) and submission metadata <br> - individual model plots (timeseries, subsets, energy closure, distributions)<br> - collective timeseries for every submitted output in the baseline experiment<br> - collective timeseries for every submitted output in the detailed experiment<br> - supplementary material for the manuscript<br> - variable definitions <strong>Authors</strong> Mathew Lipson, Sue Grimmond, Martin Best, Gab Abramowitz, Andrew Coutts, Nigel Tapper, <br> Jong-Jin Baik, Meiring Beyers, Lewis Blunn, Souhail Boussetta, Elie Bou-Zeid, <br> Martin G. De Kauwe, Cécile de Munck, Matthias Demuzere, Simone Fatichi, <br> Krzysztof Fortuniak, Beom-Soon Han, Maggie Hendry, Yukihiro Kikegawa, Hiroaki Kondo, <br> Doo-Il Lee, Sang-Hyun Lee, Aude Lemonsu, Tiago Machado, Gabriele Manoli, Alberto Martilli, <br> Valéry Masson, Joe McNorton, Naika Meili, David Meyer, Kerry A. Nice, Keith W. Oleson, <br> Seung-Bu Park32, Michael Roth33, Robert Schoetter34, Andres Simon35, Gert-Jan Steeneveld, <br> Ting Sun, Yuya Takane, Marcus Thatcher, Aristofanis Tsiringakis, Mikhail Varentsov, <br> Chenghao Wang, Zhi-Hua Wang
DOI: 10.5281/zenodo.8321546
title: Associated results of Phase 1 of the Urban-PLUMBER model evaluation project

description: <strong>Archive of: https://urban-plumber.github.io/AU-Preston/plots/</strong> Files in this folder are associated with the manuscript: “Evaluation of 30 urban land surface models in the Urban-PLUMBER project: Phase 1 results” Files are an archive of the website https://urban-plumber.github.io/AU-Preston/plots/ as of 2nd December 2022. Use of any data must give credit through citation of the above manuscript, the data repository, and other site references as appropriate. Corresponding author: Mathew Lipson (mathew.lipson@bom.gov.au) <strong>Usage</strong> Load the "index.html" to navigate through plots and results subpages <strong>Description</strong> These files include results from Phase 1 of the Urban-PLUMBER model evaluation project for urban areas. Data includes: - individual model results (error metrics) and submission metadata <br> - individual model plots (timeseries, subsets, energy closure, distributions)<br> - collective timeseries for every submitted output in the baseline experiment<br> - collective timeseries for every submitted output in the detailed experiment<br> - supplementary material for the manuscript<br> - variable definitions <strong>Authors</strong> Mathew Lipson, Sue Grimmond, Martin Best, Gab Abramowitz, Andrew Coutts, Nigel Tapper, <br> Jong-Jin Baik, Meiring Beyers, Lewis Blunn, Souhail Boussetta, Elie Bou-Zeid, <br> Martin G. De Kauwe, Cécile de Munck, Matthias Demuzere, Simone Fatichi, <br> Krzysztof Fortuniak, Beom-Soon Han, Maggie Hendry, Yukihiro Kikegawa, Hiroaki Kondo, <br> Doo-Il Lee, Sang-Hyun Lee, Aude Lemonsu, Tiago Machado, Gabriele Manoli, Alberto Martilli, <br> Valéry Masson, Joe McNorton, Naika Meili, David Meyer, Kerry A. Nice, Keith W. Oleson, <br> Seung-Bu Park32, Michael Roth33, Robert Schoetter34, Andres Simon35, Gert-Jan Steeneveld, <br> Ting Sun, Yuya Takane, Marcus Thatcher, Aristofanis Tsiringakis, Mikhail Varentsov, <br> Chenghao Wang, Zhi-Hua Wang
DOI: 10.5281/zenodo.7388341
title: Associated results of Phase 1 of the Urban-PLUMBER model evaluation project

description: <strong>Archive of: https://urban-plumber.github.io/AU-Preston/plots/</strong> Files in this folder are associated with the manuscript: “Evaluation of 30 urban land surface models in the Urban-PLUMBER project: Phase 1 results” Files are an archive of the website https://urban-plumber.github.io/AU-Preston/plots/ as of 2nd December 2022. Use of any data must give credit through citation of the above manuscript, the data repository, and other site references as appropriate. Corresponding author: Mathew Lipson (mathew.lipson@bom.gov.au) <strong>Usage</strong> Load the "index.html" to navigate through plots and results subpages <strong>Description</strong> These files include results from Phase 1 of the Urban-PLUMBER model evaluation project for urban areas. Data includes: - individual model results (error metrics) and submission metadata <br> - individual model plots (timeseries, subsets, energy closure, distributions)<br> - collective timeseries for every submitted output in the baseline experiment<br> - collective timeseries for every submitted output in the detailed experiment<br> - supplementary material for the manuscript<br> - variable definitions <strong>Authors</strong> Mathew Lipson, Sue Grimmond, Martin Best, Gab Abramowitz, Andrew Coutts, Nigel Tapper, <br> Jong-Jin Baik, Meiring Beyers, Lewis Blunn, Souhail Boussetta, Elie Bou-Zeid, <br> Martin G. De Kauwe, Cécile de Munck, Matthias Demuzere, Simone Fatichi, <br> Krzysztof Fortuniak, Beom-Soon Han, Maggie Hendry, Yukihiro Kikegawa, Hiroaki Kondo, <br> Doo-Il Lee, Sang-Hyun Lee, Aude Lemonsu, Tiago Machado, Gabriele Manoli, Alberto Martilli, <br> Valéry Masson, Joe McNorton, Naika Meili, David Meyer, Kerry A. Nice, Keith W. Oleson, <br> Seung-Bu Park32, Michael Roth33, Robert Schoetter34, Andres Simon35, Gert-Jan Steeneveld, <br> Ting Sun, Yuya Takane, Marcus Thatcher, Aristofanis Tsiringakis, Mikhail Varentsov, <br> Chenghao Wang, Zhi-Hua Wang
DOI: 10.6084/m9.figshare.22671004.v4
title: Dataset for "Amino acid nitrogen isotopic compositions show seep copepods gain nutrition from host animals"

description: All data and MATLAB codes used in the manuscript "Amino acid nitrogen isotopic compositions show seep copepods gain nutrition from host animals" under review
DOI: 10.34740/kaggle/dsv/6424685
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.34740/kaggle/dsv/6424694
title: UNET Lung Segmentation Weights for Chest X Rays
DOI: 10.15454/9rucep/udjm7m
title: genotypes_sylvestris.fam
DOI: 10.15454/9rucep/5racsc
title: genotypes_SYLV_OUT.map
DOI: 10.15454/9rucep/oieamo
title: genotypes_SYLV_OUT.ped
DOI: 10.15454/9rucep/yr5yod
title: README.txt
DOI: 10.15454/9rucep/yzgltp
title: passport-data-sylv.txt
DOI: 10.17028/rd.lboro.24088131
title: Supplementary information files for Ethnic differences in the association between age at natural menopause and risk of type 2 diabetes mellitus among postmenopausal women: a pooled analysis of individual data from 13 cohort studies

description: Supplementary files for article Ethnic differences in the association between age at natural menopause and risk of type 2 diabetes mellitus among postmenopausal women: a pooled analysis of individual data from 13 cohort studiesObjective: To investigate associations between age at natural menopause, particularly premature ovarian insufficiency (POI; natural menopause before 40 years), and incident type 2 diabetes (T2DM) and identify any variations by ethnicity.Research design and methods: We pooled individual-level data of 338,059 women from 13 cohort studies without T2DM before menopause, with six ethnic groups: White (n=177,674), Chinese (n=146,008), Japanese (n=9,061), South/Southeast Asian (n=2,228), Black (n=1,838), and Mixed/Other (n=1,250). Hazard ratios (HRs) of T2DM associated with age at menopause were estimated in the overall sample and by ethnicity, with study as a random effect. For each ethnic group, we further stratified the association by birth year, education level, and BMI.Results: Over nine years of follow-up, 20,064 (5.9%) women developed T2DM. Overall, POI (vs menopause at 50-51 years) was associated with an increased risk of T2DM (HR:1.31, 1.20-1.44), while there was an interaction between age at menopause and ethnicity (p&lt;0.0001). T2DM risk associated with POI was higher in White (HR:1.53, 1.36-1.73), Japanese (HR:4.04, 1.97-8.27), and Chinese women born ≥1950 (HR:2.79, 2.11-3.70); while less precise, the risk estimates were consistent in South/Southeast Asian (HR:1.46, 0.89-2.40), Black (HR:1.72, 0.95-3.12), and Mixed/Other (HR:2.16, 0.83-5.57) women. A similar pattern, but smaller increased risk of T2DM was associated with early menopause overall (HR:1.16, 1.10-1.23) and for White, Japanese, and Chinese women born ≥1950.Conclusions: POI and early menopause are risk factors for T2DM in postmenopausal women, with considerable variation across ethnic groups, and may need to be considered in risk assessments of T2DM among women.
DOI: 10.17028/rd.lboro.24088131.v1
title: Supplementary information files for Ethnic differences in the association between age at natural menopause and risk of type 2 diabetes mellitus among postmenopausal women: a pooled analysis of individual data from 13 cohort studies

description: Supplementary files for article Ethnic differences in the association between age at natural menopause and risk of type 2 diabetes mellitus among postmenopausal women: a pooled analysis of individual data from 13 cohort studiesObjective: To investigate associations between age at natural menopause, particularly premature ovarian insufficiency (POI; natural menopause before 40 years), and incident type 2 diabetes (T2DM) and identify any variations by ethnicity.Research design and methods: We pooled individual-level data of 338,059 women from 13 cohort studies without T2DM before menopause, with six ethnic groups: White (n=177,674), Chinese (n=146,008), Japanese (n=9,061), South/Southeast Asian (n=2,228), Black (n=1,838), and Mixed/Other (n=1,250). Hazard ratios (HRs) of T2DM associated with age at menopause were estimated in the overall sample and by ethnicity, with study as a random effect. For each ethnic group, we further stratified the association by birth year, education level, and BMI.Results: Over nine years of follow-up, 20,064 (5.9%) women developed T2DM. Overall, POI (vs menopause at 50-51 years) was associated with an increased risk of T2DM (HR:1.31, 1.20-1.44), while there was an interaction between age at menopause and ethnicity (p&lt;0.0001). T2DM risk associated with POI was higher in White (HR:1.53, 1.36-1.73), Japanese (HR:4.04, 1.97-8.27), and Chinese women born ≥1950 (HR:2.79, 2.11-3.70); while less precise, the risk estimates were consistent in South/Southeast Asian (HR:1.46, 0.89-2.40), Black (HR:1.72, 0.95-3.12), and Mixed/Other (HR:2.16, 0.83-5.57) women. A similar pattern, but smaller increased risk of T2DM was associated with early menopause overall (HR:1.16, 1.10-1.23) and for White, Japanese, and Chinese women born ≥1950.Conclusions: POI and early menopause are risk factors for T2DM in postmenopausal women, with considerable variation across ethnic groups, and may need to be considered in risk assessments of T2DM among women.
DOI: 10.5281/zenodo.8318494
title: Questionnaire data for assessing what determines urban residents' engagement in activities for the protection of urban green spaces (UGS)

description: This dataset contains the core data used to investigate what determines Munich’s residents’ engagement in activities for the protection of urban green spaces (UGS). We conducted an exploratory factor analysis and a structural equation modelling based on the data from an online and in-person questionnaire. <strong>List of data and content</strong> Questionnaire_English: The content of the questionnaire in English (*.pdf) Questionnaire_RawData_ Munchen_German: Core data from the questionnaire in German (*.xlsx) InputEFA1: Core data for the first exploratory factor analysis with the input for analysis in Mplus (*.xlsx) InputEFA2: Core data for the second exploratory factor analysis with the input for analysis in Mplus (*.xlsx) InputSEM: Core data for the structural equation modelling with the input for analysis in Mplus (*.xlsx) ResultsSEM: Results of the structural equation modelling (*.xlsx) InputCFA1: Core data for the first confirmatory factor analysis with the input for analysis in Mplus (*.xlsx) ResultsCFA1: Results of the confirmatory factor analysis (*.xlsx) InputCFA2: Core data for the second confirmatory factor analysis with the input for analysis in Mplus (*.xlsx) ResultsCFA2: Results of the confirmatory factor analysis (*.xlsx) Acronyms_Shortings: Acronyms and shortings used in the uploaded files (*.pdf) <strong>Data processing</strong> The software for performing the exploratory factor analysis and structural equation modelling was Mplus 8.8 (Muthén and Muthén, 1998). The details on the methodological steps are available in the published publication. To quickly understand the EFA, CFA and SEM model and settings the details are provided in the hyperlinks. <strong>Acknowledgments</strong> The authors thank to all participants for their participation in the online and in-person questionnaires. Data processing and analysis would not have been possible without the help of Tomomi Saito. This work was supported by a grant from the Alexander von Humboldt Foundation and by the Leibniz Best Minds Competition, Leibniz-Junior Research Group, Grant J76/2019.
DOI: 10.6084/m9.figshare.21725531
title: Liquid-Chromatography Mass Spectrometry Describes Post-Translational Modification of <i>Shewanella</i> Outer Membrane Proteins

description: LC-MS data for MtrCAB complexes from <i>Shewanella oneidensis</i> MR-1 and <i>Shewanella baltica</i> OS-185.LC-MS data for a soluble form of MtrC from <i>Shewanella oneidensis</i> MR-1 carrying a C-terminal Strep II tag.
DOI: 10.5281/zenodo.8321652
title: Anomaly Detection dataset for the ISS Panel mockup

description: If you use the dataset, please cite: <em>Siddhant Shete, Dennis Mronga</em> <strong>"Adaptive Online Anomaly Detection using Transfer Learning"</strong> About the dataset: The dataset is basically used for anomaly detection in the ISS(International Space Station) panel. This dataset was captured from the mockup used for experiments at the institute. The panel replicates the curcuit and control boards at ISS. The dataset is segregated in two parts Normal data and Anomalous data. Contents of <em><strong> ISSPanelDataset.zip </strong></em> Nomal Anomaly The Anomaly folder has data with different scenarios where the led lights are on, the fan panel cover is missing or some parts are missaligned. <em>This dataset is provided by the Robotics Innivation Center, DFKI GmbH.</em> <em>The grant was provided by Federal Ministry for Economic Affairs and Climate Action </em> <em>Grant number: 20W1922F</em>
DOI: 10.5281/zenodo.8321653
title: Anomaly Detection dataset for the ISS Panel mockup

description: If you use the dataset, please cite: <em>Siddhant Shete, Dennis Mronga</em> <strong>"Adaptive Online Anomaly Detection using Transfer Learning"</strong> About the dataset: The dataset is basically used for anomaly detection in the ISS(International Space Station) panel. This dataset was captured from the mockup used for experiments at the institute. The panel replicates the curcuit and control boards at ISS. The dataset is segregated in two parts Normal data and Anomalous data. Contents of <em><strong> ISSPanelDataset.zip </strong></em> Nomal Anomaly The Anomaly folder has data with different scenarios where the led lights are on, the fan panel cover is missing or some parts are missaligned. <em>This dataset is provided by the Robotics Innivation Center, DFKI GmbH.</em> <em>The grant was provided by Federal Ministry for Economic Affairs and Climate Action </em> <em>Grant number: 20W1922F</em>
DOI: 10.5281/zenodo.8321662
title: Anomaly Detection dataset for the ISS Panel mockup

description: If you use the dataset, please cite: <em>Siddhant Shete, Dennis Mronga</em> <strong>"Adaptive Online Anomaly Detection using Transfer Learning"</strong> About the dataset: The dataset is basically used for anomaly detection in the ISS(International Space Station) panel. This dataset was captured from the mockup used for experiments at the institute. The panel replicates the curcuit and control boards at ISS. The dataset is segregated in two parts Normal data and Anomalous data. Contents of <em><strong> ISSPanelDataset.zip </strong></em> Nomal Anomaly The Anomaly folder has data with different scenarios where the led lights are on, the fan panel cover is missing or some parts are missaligned. <em>This dataset is provided by the Robotics Innivation Center, DFKI GmbH.</em> <em>The grant was provided by Federal Ministry for Economic Affairs and Climate Action </em> <em>Grant number: 20W1922F</em>