cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.18071130
title: Charge reversal mutations in mesophilic-thermophilic orthologous protein pairs and their role in enhancing coulombic interaction energy

description: Proteins from thermophilic organisms are a matter of immense interest for decades because of its application in fields like de-novo protein design, thermostable variants of biocatalysts etc. Previous studies have found several sequence and structural adaptations related to thermal stability, while charge reversal study remains ignored. Here we address whether charge reversal mutations naturally occur in mesophilic-thermophilic/hyperthermophilic orthologous proteins. Do they contribute to thermal stability? Our systematic study on 1550 mesophilic-thermophilic/hyperthermophilic orthologous protein pairs with remarkable structural and topological similarity, shows gain in coulombic interaction energy in thermophilic/hyperthermophilic proteins at short range associated with partially exposed and buried charge reversal mutations, which may enhance thermostability. Our findings call forth its application in future protein engineering studies. Communicated by Ramaswamy H. Sarma
DOI: 10.20394/xje5digg
title: Parking spaces

description: The number of marked on-street parking places as set out in the Local Government Transparency Code 2014. The number and location of on-street pay and display and limited waiting bays in Manchester. The data is obtained from the Manchester City Council GIS Parkmap database and has been converted to an Microsoft Excel Spreadsheet.
DOI: 10.20394/oagulzr1
title: Fix My Street Data Glasgow UK to 2017

description: The data refers to reports made, by anyone in public, to FixMyStreet.com website regarding either potholes or pavements/footpaths in the Glasgow City area. Each report has its geographically reported location defined by longitude and latitude coordinates. The 2011 datazone code and name were added by UBDC.
DOI: 10.5281/zenodo.7590270
title: Architecture-based Uncertainty Impact Analysis to ensure Confidentiality - Data Set

description: Data set of the Paper "Architecture-based Uncertainty Impact Analysis to ensure Confidentiality". For more information, please see the README.md.
DOI: 10.5281/zenodo.7590269
title: Architecture-based Uncertainty Impact Analysis to ensure Confidentiality - Data Set

description: Data set of the Paper "Architecture-based Uncertainty Impact Analysis to ensure Confidentiality". For more information, please see the README.md.
DOI: 10.25387/g3.21200377
title: Supplemental Material for Sweet et al., 2022

description: Assemblies, annotations, output files, and control files involved in the assembly and annotation of the genome of Brueelia nebulosa, including the mitogenome and genome from the primary endosymbiont. The files include GFF annotation files for the Brueelia genome and primary endosymbiont, control file for the MAKER pipeline, output files from PSMC, and gene cluster lists and functions generated from Orthovenn.
DOI: 10.25387/g3.21200377.v1
title: Supplemental Material for Sweet et al., 2022

description: Assemblies, annotations, output files, and control files involved in the assembly and annotation of the genome of Brueelia nebulosa, including the mitogenome and genome from the primary endosymbiont. The files include GFF annotation files for the Brueelia genome and primary endosymbiont, control file for the MAKER pipeline, output files from PSMC, and gene cluster lists and functions generated from Orthovenn.
DOI: 10.5281/zenodo.7590265
title: Processed BCO data for Vial et al. 2023

description: The folder contains yearly netCDF files with the hourly-averaged cloud radar data from the Barbados Cloud Observatory (BCO) used in <em>Vial,</em> <em>Albright, Vogel, Musat, Bony (2023), Cloud transition across the daily cycle illuminates model responses of trade cumuli to warming, PNAS</em>. Also provided is the file ‘radar_diurnalCMIP_files_version.txt’, which contains information about the version of the raw data used to create the processed files. The raw data can be accessed through the BCO intake catalog, which can be accesses using Python and intake e.g. as follows: from intake import open_catalog<br> cat = open_catalog("https://bco.pages.gwdg.de/intake/catalog.yaml")<br> ds = cat.Level_1.Backscatter_MBR2.to_dask()<br> ds.SNR.sel(time="2022-08-01", range=slice(0, 5000)).T.plot(robust=True)
DOI: 10.5281/zenodo.7590264
title: Processed BCO data for Vial et al. 2023

description: The folder contains yearly netCDF files with the hourly-averaged cloud radar data from the Barbados Cloud Observatory (BCO) used in <em>Vial,</em> <em>Albright, Vogel, Musat, Bony (2023), Cloud transition across the daily cycle illuminates model responses of trade cumuli to warming, PNAS</em>. Also provided is the file ‘radar_diurnalCMIP_files_version.txt’, which contains information about the version of the raw data used to create the processed files. The raw data can be accessed through the BCO intake catalog, which can be accesses using Python and intake e.g. as follows: from intake import open_catalog<br> cat = open_catalog("https://bco.pages.gwdg.de/intake/catalog.yaml")<br> ds = cat.Level_1.Backscatter_MBR2.to_dask()<br> ds.SNR.sel(time="2022-08-01", range=slice(0, 5000)).T.plot(robust=True)
DOI: 10.21227/fdfv-qp33
title: Enter a descriptive title

description: Please enter a complete abstract with details on your dataset files, scripts, and other relevant information.
DOI: 10.6084/m9.figshare.21758060
title: Supplementary Material for: Female Risk factors for post-Infarction Depression and Anxiety (FRIDA): Trial Design

description: Introduction Female patients are at elevated risk for adverse mental health outcomes following hospital admission for ischemic heart disease. These psychosocial characteristics are correlated with unacceptably higher rates of cardiovascular (CV) morbidity and mortality. Guidelines to address mental health following acute coronary syndrome (ACS) can only be developed with the aid of studies elucidating which subgroups of female patients are at highest risk. Methods/Design The Female Risk factors for post-Infarction Depression and Anxiety (FRIDA) Study is a prospective multi-center questionnaire-based study of female participants admitted to hospital with ACS. Data is collected within 72 hours of admission as well as at three and six months. At baseline, participants complete a sociodemographic questionnaire, social support survey, and Hospital Depression and Anxiety Scale (HADS). Follow-up will consist of a demographic questionnaire, HADS, changes to health status, and quality of life indicators. Statistical analysis will include descriptive and inferential methods to observe baseline distributions and significance between groups. Discussion/Conclusion Our primary outcome is to determine if specific CV and sociodemographic factors correlate with increased depression and anxiety scores (HADS-D &gt;7; HADS-A &gt;7) at baseline. Our secondary aim is to determine if increased HADS scores at baseline and follow-up correlate with three and six-month health and quality of life outcomes. A total of 2,000 patients will be enrolled across seven study sites. The aim of the FRIDA Study is to understand which groups of female patients have the highest rates of depression and anxiety following ACS to better inform care.
DOI: 10.6084/m9.figshare.21732587
title: Supplementary Material for: Predicting atrial fibrillation after ischemic stroke: clinical, genetics and electrocardiogram modelling

description: Introduction: Detection of atrial fibrillation (AF) is challenging in patients after ischemic stroke due to its paroxysmal nature. We aim to determine the utility of a combined clinical, electrocardiographic and genetic variables model to predict AF in a post-stroke population. Materials and Methods: We performed a cohort study at a single comprehensive stroke centre from 09/11/2009 to 31/10/2017. All patients recruited were diagnosed with acute ischemic stroke or transient ischemic attacks. Electrocardiographic variables including p-wave terminal force (PWTF), corrected QT interval (QTc) and genetic variables including single nucleotide polymorphisms (SNP) at the 4q25 (rs2200733) were evaluated. Clinical, electrocardiographic and genetic variables of patients without AF and those who developed AF were compared. Multiple logistic regression analysis and receiver operating characteristics were performed to identify parameters and determine their ability to predict the occurrence of AF. Results: Out of 709 patients (median age of 59 years, IQR 52-67) recruited, sixty (8.5%) were found to develop AF on follow-up. Age (odds ratio (OR): 3.49, 95% confidence interval (CI): 2.03-5.98, p&lt;0.0001), hypertension (OR: 2.76, 95% CI: 1.36-5.63, p=0.0052) and valvular heart disease (OR: 8.49, 95% CI: 2.62-27.6, p&lt;0.004 were the strongest predictors of AF, with area under receiver operating value of 0.76 (95% CI: 0.70-0.82), and 0.82 (95% CI: 0.77-0.87) when electrocardiographic variables (PWTF and QTc) were added. SNP did not improve prediction modelling. Conclusion: We demonstrated that a model combining clinical and electrocardiographic variables provided robust prediction of AF in our post-stroke population. Role of SNP in prediction of AF was limited.
DOI: 10.6084/m9.figshare.21732587.v1
title: Supplementary Material for: Predicting atrial fibrillation after ischemic stroke: clinical, genetics and electrocardiogram modelling

description: Introduction: Detection of atrial fibrillation (AF) is challenging in patients after ischemic stroke due to its paroxysmal nature. We aim to determine the utility of a combined clinical, electrocardiographic and genetic variables model to predict AF in a post-stroke population. Materials and Methods: We performed a cohort study at a single comprehensive stroke centre from 09/11/2009 to 31/10/2017. All patients recruited were diagnosed with acute ischemic stroke or transient ischemic attacks. Electrocardiographic variables including p-wave terminal force (PWTF), corrected QT interval (QTc) and genetic variables including single nucleotide polymorphisms (SNP) at the 4q25 (rs2200733) were evaluated. Clinical, electrocardiographic and genetic variables of patients without AF and those who developed AF were compared. Multiple logistic regression analysis and receiver operating characteristics were performed to identify parameters and determine their ability to predict the occurrence of AF. Results: Out of 709 patients (median age of 59 years, IQR 52-67) recruited, sixty (8.5%) were found to develop AF on follow-up. Age (odds ratio (OR): 3.49, 95% confidence interval (CI): 2.03-5.98, p&lt;0.0001), hypertension (OR: 2.76, 95% CI: 1.36-5.63, p=0.0052) and valvular heart disease (OR: 8.49, 95% CI: 2.62-27.6, p&lt;0.004 were the strongest predictors of AF, with area under receiver operating value of 0.76 (95% CI: 0.70-0.82), and 0.82 (95% CI: 0.77-0.87) when electrocardiographic variables (PWTF and QTc) were added. SNP did not improve prediction modelling. Conclusion: We demonstrated that a model combining clinical and electrocardiographic variables provided robust prediction of AF in our post-stroke population. Role of SNP in prediction of AF was limited.
DOI: 10.6084/m9.figshare.7376465
title: Dataset: Journals

description: The Journals dataset includes information about all historical Journal titles from Springer Nature, including ones that have been decommissioned.<br>See also: https://scigraph.springernature.com/explorer/datasets/data_at_a_glance/<br><br>A journal record usually includes information about its publisher, imprint, license model, chief editor, external identifiers, subjects and impact factor when available.<br>Version info:* http://scigraph.downloads.uberresearch.com/archives/current/TIMESTAMP.txt* http://scigraph.downloads.uberresearch.com/archives/current/LICENSE.txt<br>
DOI: 10.6084/m9.figshare.7376465.v3
title: Dataset: Journals

description: The Journals dataset includes information about all historical Journal titles from Springer Nature, including ones that have been decommissioned.<br>See also: https://scigraph.springernature.com/explorer/datasets/data_at_a_glance/<br><br>A journal record usually includes information about its publisher, imprint, license model, chief editor, external identifiers, subjects and impact factor when available.<br>Version info:* http://scigraph.downloads.uberresearch.com/archives/current/TIMESTAMP.txt* http://scigraph.downloads.uberresearch.com/archives/current/LICENSE.txt<br>
DOI: 10.34740/kaggle/dsv/4926513
title: Mahanagar Yatayat Dataset
DOI: 10.6084/m9.figshare.21085272
title: Inequality, Outreach, and Impact in Public Goods Contributions

description: Mobilizing domestic resources is vital in financing domestic investment and social programmes, which are essential for reducing poverty in developing countries. We consider citizens’ willingness to contribute to public goods as one mechanism for domestic resource mobilization. In particular, we are interested in how willingness to contribute varies on three dimensions: inequality in initial endowments, public good outreach (local <i>vs.</i> national), and the expected impact of giving. We conducted a preregistered (AEARCTR-0007746) online experiment with a sample of 900 respondents in South Africa. First, public goods game tasks with equal and unequal endowments were compared to estimate inequality impacts. Second, a dictator game decision with donations to a national charity was compared to the local public goods game to study the effect of project outreach. Finally, to estimate donation impact, charity decisions with quadrupled contributions were compared to those with doubled contributions. We find overall high levels of contribution, with much overlap across the different contexts considered. We note that the highest endowment proportion is contributed in the unequal context, with low endowment players giving the highest share of their endowments. Response time data shows that decisions take longer where donation impact is higher, and where endowments are unequal, particularly for those receiving lower endowments.
DOI: 10.6084/m9.figshare.21085272.v1
title: Inequality, Outreach, and Impact in Public Goods Contributions

description: Mobilizing domestic resources is vital in financing domestic investment and social programmes, which are essential for reducing poverty in developing countries. We consider citizens’ willingness to contribute to public goods as one mechanism for domestic resource mobilization. In particular, we are interested in how willingness to contribute varies on three dimensions: inequality in initial endowments, public good outreach (local <i>vs.</i> national), and the expected impact of giving. We conducted a preregistered (AEARCTR-0007746) online experiment with a sample of 900 respondents in South Africa. First, public goods game tasks with equal and unequal endowments were compared to estimate inequality impacts. Second, a dictator game decision with donations to a national charity was compared to the local public goods game to study the effect of project outreach. Finally, to estimate donation impact, charity decisions with quadrupled contributions were compared to those with doubled contributions. We find overall high levels of contribution, with much overlap across the different contexts considered. We note that the highest endowment proportion is contributed in the unequal context, with low endowment players giving the highest share of their endowments. Response time data shows that decisions take longer where donation impact is higher, and where endowments are unequal, particularly for those receiving lower endowments.
DOI: 10.3886/icpsr37387.v1
title: Pursuing Equitable Restorative Communities, Pittsburgh, PA, 2015-2017
title: Version 1

description: This study represents one of the first randomized controlled trials of the impacts of restorative practices on classroom and school climate and suspension rates. The research team collected extensive data about implementation to help examine how it is related to effects and to develop operational guidance for school district leaders. The studied schools, all part of the Pittsburgh Public Schools district, implemented restorative practices for two school years (2015-16 and 2016-17) under the leadership of the International Institute for Restorative Practices.
description: The purpose of this study is to measure the capacity of restorative practices to improve the safety and climate in schools.
description: The research team employed a randomized controlled trial to study Pursuing Equitable and Restorative Communities (PERC) outcomes and collected qualitative data on implementation. The final sample contained 44 schools, evenly split between treatment (PERC school) and control groups. The research team collected implementation data through observations of International Institute for Restorative Practices (IIRP) trainings, surveys of PERC school staff, observations of restorative practices in four case study schools, and interviews of school, district, and IIRP staff. The research team also obtained administrative data from the district and the county.
description: The variables in this study include measures of participation in the restorative practices, behaviors, and overall climate within the participating schools.
description: Not applicable.
description: Response Rates: 53 percent for the Spring 2016 survey. 51 percent for the Spring 2017 survey.
description: Presence of Common Scales: None.
description: The sample for the surveys represents the entire population of staff from all 22 treatment schools.
description: Datasets: DS0: Study-Level Files DS1: Staff Survey 2015-2016 Data DS2: Staff Survey 2016-2017 Data
description: Staff in Pittsburgh Public Schools that were implementing restorative practices. Smallest Geographic Unit: None.
description: web-based survey
DOI: 10.3886/icpsr37387
title: Pursuing Equitable Restorative Communities, Pittsburgh, PA, 2015-2017
title: Archival Version

description: This study represents one of the first randomized controlled trials of the impacts of restorative practices on classroom and school climate and suspension rates. The research team collected extensive data about implementation to help examine how it is related to effects and to develop operational guidance for school district leaders. The studied schools, all part of the Pittsburgh Public Schools district, implemented restorative practices for two school years (2015-16 and 2016-17) under the leadership of the International Institute for Restorative Practices.
description: The purpose of this study is to measure the capacity of restorative practices to improve the safety and climate in schools.
description: The research team employed a randomized controlled trial to study Pursuing Equitable and Restorative Communities (PERC) outcomes and collected qualitative data on implementation. The final sample contained 44 schools, evenly split between treatment (PERC school) and control groups. The research team collected implementation data through observations of International Institute for Restorative Practices (IIRP) trainings, surveys of PERC school staff, observations of restorative practices in four case study schools, and interviews of school, district, and IIRP staff. The research team also obtained administrative data from the district and the county.
description: The variables in this study include measures of participation in the restorative practices, behaviors, and overall climate within the participating schools.
description: Not applicable.
description: Response Rates: 53 percent for the Spring 2016 survey. 51 percent for the Spring 2017 survey.
description: Presence of Common Scales: None.
description: The sample for the surveys represents the entire population of staff from all 22 treatment schools.
description: Datasets: DS0: Study-Level Files DS1: Staff Survey 2015-2016 Data DS2: Staff Survey 2016-2017 Data
description: Staff in Pittsburgh Public Schools that were implementing restorative practices. Smallest Geographic Unit: None.
description: web-based survey
DOI: 10.34703/gzx1-9v95/vnzzjz/u51uui
title: SummaryDefolDataAll.csv

description: :unav
DOI: 10.34703/gzx1-9v95/vnzzjz/laqapq
title: SummaryDefolDataAll-1.tab

description: :unav
DOI: 10.34703/gzx1-9v95/vnzzjz
title: Replication Data for: Defoliation in Perennial Plants: Predictable and Surprising Results in Senna spp.

description: data from greenhouse experiment examining effects of defoliation on plant growth, new leaf production, and extrafloral (foliar) nectaries
DOI: 10.5281/zenodo.7590427
title: Supplemental package of a study on the impacts of Covid-19 on software startups and established companies

description: This package presents the data obtained in a study on the impact of COVID-19 restrictions to software startups and established companies. It contains the questionnaire used to collect data, the answers obtained and a Jupyter notebook containing the analysis performed.
DOI: 10.5281/zenodo.7590426
title: Supplemental package of a study on the impacts of Covid-19 on software startups and established companies

description: This package presents the data obtained in a study on the impact of COVID-19 restrictions to software startups and established companies. It contains the questionnaire used to collect data, the answers obtained and a Jupyter notebook containing the analysis performed.
DOI: 10.5281/zenodo.7588981
title: Figures for Designing a future-proof gas and hydrogen infrastructure for Europe – a modelling-based approach

description: hydrogen_production_consumption_inputs: includes hydrogen assumptions for three scenarios (Electrification, Hydrogen, E-fuels) and three corner years (2030,2040,2050) on hydrogen production and consumption per country (EU27+NO+CH) Gas_and_hydrogen_infrastructure_figures: inlcudes figures and tables from the article "Kotek - Selei - Tóth (2023): Designing a future-proof gas and hydrogen infrastructure for Europe – a modelling-based approach." Figure 1: Gas (including biomethane and biogases and e-methane) and hydrogen demand (EU-27)<br> Figure 2: Hydrogen consumption and production in the modelled countries for the Hydrogen 80 scenario in 2050, TWh/year<br> Figure 3: Decision tree for hydrogen investment need estimation<br> Figure 4: Annualised CAPEX, OPEX, and variable system costs<br> Figure 5: Hydrogen transmission infrastructure by 2050, Elec_80 scenario<br> Figure 6: Hydrogen transmission infrastructure by 2050, E-Fuel_80 scenario<br> Figure 7: Hydrogen transmission infrastructure by 2050, H2_80 scenario<br> Figure 8: Utilisation of gas transport network (flow/capacity %) (Source: REKK modelling. Red bars indicate capacity<br> Table 1: Summary of studies on hydrogen infrastructure<br> Table 2: Total investment need of the hydrogen network, bn EUR/yr (EU-27)<br> Table 3: OPEX need for the hydrogen network, Bn EUR/yr (EU-27)<br> Table 4: Variable system costs of the gas network (EU-27)<br> Table 5: Variable system costs of the hydrogen network (EU-27)<br> Table 6: CAPEX modelled for 2020 until 2050 (EU-27+CH+NO+UK), Bn EUR<br> Table 7: Length and composition of hydrogen transmission pipelines (EU-27)<br> Table 8: Total modelled hydrogen blending (TWh/year), (EU-27+CH+NO+UK)<br> Table 9: Internal trade of gas and hydrogen in the European infrastructure by 2050, TWh/year, (EU-27+CH+NO+UK)<br> Table 10: Utilization indicators for gas transmission pipelines (EU-27+UK+NO+CH)<br> Table 11: Hydrogen transport costs assumed, EUR/MWh<br> Table 12: Gas transport costs assumed, EUR/MWh