cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12637118
title: Figure S5.xlsx

description: Source data used to generate the graphs in Extended Data Figure 5 of Kusick et al., 2020
DOI: 10.6084/m9.figshare.12637121
title: Figure S6.xlsx

description: Source data used to generate the graphs in Extended Data Figure 6 of Kusick et al., 2020
DOI: 10.6084/m9.figshare.12637121.v1
title: Figure S6.xlsx

description: Source data used to generate the graphs in Extended Data Figure 6 of Kusick et al., 2020
DOI: 10.6084/m9.figshare.12637124.v1
title: Figure S4.xlsx

description: Source data used to generate the graphs in Extended Data Figure 4 of Kusick et al., 2020
DOI: 10.6084/m9.figshare.12637103
title: Figure 4.xlsx

description: Source data used to generate the graphs in Figure 4 of Kusick et al., 2020
DOI: 10.6084/m9.figshare.12637118.v1
title: Figure S5.xlsx

description: Source data used to generate the graphs in Extended Data Figure 5 of Kusick et al., 2020
DOI: 10.6084/m9.figshare.12637088
title: Figure 1.xlsx

description: Source data used to make the graphs in Figure 1 of Kusick et al., 2020
DOI: 10.6084/m9.figshare.12637097
title: Figure 2.xlsx

description: Source data used to generate the graphs in Figure 2 of Kusick et al., 2020
DOI: 10.6084/m9.figshare.12637103.v1
title: Figure 4.xlsx

description: Source data used to generate the graphs in Figure 4 of Kusick et al., 2020
DOI: 10.6084/m9.figshare.12637055
title: Figure 5.xlsx

description: dasdas
DOI: 10.6084/m9.figshare.12637076
title: Figure 3.xlsx

description: Source data used to generate the graphs in Figure 3 of Kusick et al., 2020
DOI: 10.6084/m9.figshare.12637088.v1
title: Figure 1.xlsx

description: Source data used to make the graphs in Figure 1 of Kusick et al., 2020
DOI: 10.6084/m9.figshare.12637076.v1
title: Figure 3.xlsx

description: Source data used to generate the graphs in Figure 3 of Kusick et al., 2020
DOI: 10.6084/m9.figshare.12637097.v1
title: Figure 2.xlsx

description: Source data used to generate the graphs in Figure 2 of Kusick et al., 2020
DOI: 10.6084/m9.figshare.12637055.v1
title: Figure 5.xlsx

description: dasdas
DOI: 10.6084/m9.figshare.12637019
title: The same but different: setal arrays of anoles and geckos indicate alternative approaches to achieving similar adhesive effectiveness

description: Morphometrics and estimated materials properties of the setal arrays of <i>Anolis equestris</i>.
DOI: 10.6084/m9.figshare.12637019.v1
title: The same but different: setal arrays of anoles and geckos indicate alternative approaches to achieving similar adhesive effectiveness

description: Morphometrics and estimated materials properties of the setal arrays of <i>Anolis equestris</i>.
DOI: 10.6084/m9.figshare.12636914
title: dktLabelingOuter.h5

description: weights for dkt labeling<br>
DOI: 10.6084/m9.figshare.12636914.v1
title: dktLabelingOuter.h5

description: weights for dkt labeling<br>
DOI: 10.6084/m9.figshare.12636470
title: XES dataset MbNO - XFEL - timeresolved data

description: Data from Figure 3 in the main text of the publication.Explanation of the file name:Kb = Kbeta Xray emission spectrumKa = Kalpha Xray emission spectrummin = negative0_9ps = Pump probe time delay of 0.9 ps0 = 0 stands for laser on, 1 for laser off, pp for pump-probespectrum = that it is a spectrumthe rest labels the columns of the datae.g. E = energy (eV)sum = sum of the signal measured over several spectraave = average signal over the measured spectrastd = standard deviation betwenn the measurements (calculated for the average signal)smooth = smoothed data (details about smoothing can be found in the SI of the paper.sqrt = squareroot<br>
DOI: 10.6084/m9.figshare.12636470.v1
title: Data of Figure 3 - XES Kbeta

description: Data from Figure 3 in the main text of the publication.Explanation of the file name:Kb = Kbeta Xray emission spectrumKa = Kalpha Xray emission spectrummin = negative0_9ps = Pump probe time delay of 0.9 ps0 = 0 stands for laser on, 1 for laser off, pp for pump-probespectrum = that it is a spectrumthe rest labels the columns of the datae.g. E = energy (eV)sum = sum of the signal measured over several spectraave = average signal over the measured spectrastd = standard deviation betwenn the measurements (calculated for the average signal)smooth = smoothed data (details about smoothing can be found in the SI of the paper.sqrt = squareroot<br>
DOI: 10.6084/m9.figshare.12635846
title: Confusion matrices for test datasets 2 and 3

description: Confusion matrices for test datasets
DOI: 10.6084/m9.figshare.12635825
title: pvalue_all

description: Excel file for all dataset
DOI: 10.6084/m9.figshare.12634715
title: Delphi ranking data

description: The minimal data used for Delphi ranking to short list primary care indicators
DOI: 10.6084/m9.figshare.12635825.v1
title: pvalue_all

description: Excel file for all dataset
DOI: 10.6084/m9.figshare.12631988
title: Manuscript_JAP_Supplementary Material.xlsx

description: Supplemental file for our systematic review. Contains search terms, PRISMA checklist, meta-analysis equation, and full CONSORT checklists.
DOI: 10.6084/m9.figshare.12634715.v1
title: Delphi ranking data

description: The minimal data used for Delphi ranking to short list primary care indicators
DOI: 10.6084/m9.figshare.12631988.v1
title: Manuscript_JAP_Supplementary Material.xlsx

description: Supplemental file for our systematic review. Contains search terms, PRISMA checklist, meta-analysis equation, and full CONSORT checklists.
DOI: 10.6084/m9.figshare.12631916
title: Latitudinal gradient of termite diversity indicates higher diversification and narrower thermal niches in the tropics

description: This dataset contains all the files used to investigate the main drivers of the latitudinal gradient of Termite diversity by Cerezer, Azevedo, Nascimento, Franklin, Morais & Dambros (GEB - 2020). The data includes: 1) "TermiteCodes.R" and "TermiteFunctions.R" - Codes and functions used to perform the analyses and produce the figures presented in Cerezer et al. (2020). 2) "TermiteRawData.csv" - Raw data of termite occurrence on a global scale that used the standardized sampling protocol of Jones & Eggleton, 2000 (see Methods for more details). 3) "TermitePredictors.csv" - Predictor variables extracted for each plot and used to test the association with species richness and composition (see Methods for more details). 4) "Metadata" - Description of the predictor variables used in the study.
DOI: 10.6084/m9.figshare.12631835
title: Dataset for ‘Catheter-integrated soft multilayer electronic arrays for multiplexed sensing and actuation during cardiac surgery’

description: Dataset for ‘Catheter-integrated soft multilayer electronic arrays for multiplexed sensing and actuation during cardiac surgery’
DOI: 10.6084/m9.figshare.12631880
title: Supplementary figures S1-S6

description: The document includes supplementary figures (S1 - S6) mentioned in the manuscript
DOI: 10.6084/m9.figshare.12631880.v1
title: Supplementary figures S1-S6

description: The document includes supplementary figures (S1 - S6) mentioned in the manuscript
DOI: 10.6084/m9.figshare.12631916.v1
title: Latitudinal gradient of termite diversity indicates higher diversification and narrower thermal niches in the tropics

description: This dataset contains all the files used to investigate the main drivers of the latitudinal gradient of Termite diversity by Cerezer, Azevedo, Nascimento, Franklin, Morais & Dambros (GEB - 2020). The data includes: 1) "TermiteCodes.R" and "TermiteFunctions.R" - Codes and functions used to perform the analyses and produce the figures presented in Cerezer et al. (2020). 2) "TermiteRawData.csv" - Raw data of termite occurrence on a global scale that used the standardized sampling protocol of Jones & Eggleton, 2000 (see Methods for more details). 3) "TermitePredictors.csv" - Predictor variables extracted for each plot and used to test the association with species richness and composition (see Methods for more details). 4) "Metadata" - Description of the predictor variables used in the study.
DOI: 10.6084/m9.figshare.12631734
title: Emissions inventory of Belarus (territorial-based & consumption-based) from Low-carbon development via greening global value chains: a case study of Belarus

description: The ascendancy of global value chains (GCVs) has seen the transfer of carbon emissions embodied in every step of international trade. Building a coordinated, inclusive and green GCV can be an effective and efficient way to achieve carbon emissions mitigation targets for countries that participate highly in GCVs. In this paper, we firstly account the energy consumption, territorial and consumption-based carbon emissions of Belarus and its regions from 2010 to 2017. The results show that Belarus has a relatively clean energy structure with 75% of Belarus' energy consumption from imported natural gas. The ‘chemical, rubber and plastic products' sector has expanded largely over the past few years; its territorial-based emissions increased 10-fold from 2011 to 2014, with the ‘food processing' sector displaying the largest increase in consumption-based emissions. The analysis of regional emission accounts shows that there is significant regional heterogeneity in Belarus with Mogilev, Gomel and Vitebsk having more energy-intensive manufacturing industries. We then analysed the changes in Belarus' international trade as well as its emission impacts. The results show that Belarus has changed from a net carbon exporter in 2011 to a net carbon importer in 2014. Countries along the ‘Belt & Road Initiative', such as Russia, China, Ukraine, Poland and Kazakhstan, are the main trading partners and carbon emission importers/exporters of Belarus. ‘Construction’ and ‘chemical, rubber and plastic products' are two major emission importing sectors in Belarus, while ‘electricity' and ‘ferrous metals' are the primary emission exporting sectors. Possible low-carbon development pathways are discussed for Belarus through the perspectives of global supply and value chain.
DOI: 10.6084/m9.figshare.12631734.v1
title: Emissions inventory of Belarus (territorial-based & consumption-based) from Low-carbon development via greening global value chains: a case study of Belarus

description: The ascendancy of global value chains (GCVs) has seen the transfer of carbon emissions embodied in every step of international trade. Building a coordinated, inclusive and green GCV can be an effective and efficient way to achieve carbon emissions mitigation targets for countries that participate highly in GCVs. In this paper, we firstly account the energy consumption, territorial and consumption-based carbon emissions of Belarus and its regions from 2010 to 2017. The results show that Belarus has a relatively clean energy structure with 75% of Belarus' energy consumption from imported natural gas. The ‘chemical, rubber and plastic products' sector has expanded largely over the past few years; its territorial-based emissions increased 10-fold from 2011 to 2014, with the ‘food processing' sector displaying the largest increase in consumption-based emissions. The analysis of regional emission accounts shows that there is significant regional heterogeneity in Belarus with Mogilev, Gomel and Vitebsk having more energy-intensive manufacturing industries. We then analysed the changes in Belarus' international trade as well as its emission impacts. The results show that Belarus has changed from a net carbon exporter in 2011 to a net carbon importer in 2014. Countries along the ‘Belt & Road Initiative', such as Russia, China, Ukraine, Poland and Kazakhstan, are the main trading partners and carbon emission importers/exporters of Belarus. ‘Construction’ and ‘chemical, rubber and plastic products' are two major emission importing sectors in Belarus, while ‘electricity' and ‘ferrous metals' are the primary emission exporting sectors. Possible low-carbon development pathways are discussed for Belarus through the perspectives of global supply and value chain.
DOI: 10.6084/m9.figshare.12631694
title: Secondhand smoking

description: Secondhand Smoking and Preterm birth
DOI: 10.6084/m9.figshare.12631694.v1
title: Secondhand smoking

description: Secondhand Smoking and Preterm birth
DOI: 10.6084/m9.figshare.12631663
title: Data for normal walking condition in Experiment 2 from Foot stiffening during the push-off phase of human walking is linked to active muscle contraction, and not the windlass mechanism

description: Individual participant time series data for outcome variables
DOI: 10.6084/m9.figshare.12631657
title: Data for experiment 1 from Foot stiffening during the push-off phase of human walking is linked to active muscle contraction, and not the windlass mechanism

description: Individual participant outcome variables for experiment 1, organised by experimental condition
DOI: 10.6084/m9.figshare.12631660
title: Data for PUSH walking condition in Experiment 2 from Foot stiffening during the push-off phase of human walking is linked to active muscle contraction, and not the windlass mechanism

description: Individual participant time series data for outcome variables
DOI: 10.6084/m9.figshare.12631663.v1
title: Data for normal walking condition in Experiment 2 from Foot stiffening during the push-off phase of human walking is linked to active muscle contraction, and not the windlass mechanism

description: Individual participant time series data for outcome variables
DOI: 10.6084/m9.figshare.12631657.v1
title: Data for experiment 1 from Foot stiffening during the push-off phase of human walking is linked to active muscle contraction, and not the windlass mechanism

description: Individual participant outcome variables for experiment 1, organised by experimental condition
DOI: 10.6084/m9.figshare.12631655
title: Supplementary Table S1 from Multifractal signatures of perceptual processing on anatomical sleeves of the human body

description: Complete output of the full-factorial regression model of Impulse × Response × Trial, with Impulse and Response serving as class variables indicating the locations of the impulse variables and the responding variables, respectively.
DOI: 10.6084/m9.figshare.12631660.v1
title: Data for PUSH walking condition in Experiment 2 from Foot stiffening during the push-off phase of human walking is linked to active muscle contraction, and not the windlass mechanism

description: Individual participant time series data for outcome variables
DOI: 10.6084/m9.figshare.12631439
title: Patient data_table1.xlsx

description: Anonymised patient data <br>
DOI: 10.6084/m9.figshare.12631403
title: A Multicenter, randomized, open-label, controlled trial to evaluate the efficacy and tolerability of hydroxychloroquine and a retrospective study in adult patients with mild to moderate Coronavirus disease 2019 (COVID-19)

description: Objective In this study, we evaluated the efficacy of hydroxychloroquine (HCQ) against coronavirus disease 2019 (COVID-19) via a randomized controlled trial (RCT) and a retrospective study. Methods Subjects admitted to 11 designated public hospitals in Taiwan between April 1 and May 31, 2020, with COVID-19 diagnosis confirmed by pharyngeal real-time RT-PCR for SARS-CoV-2, were randomized at a 2:1 ratio and stratified by mild or moderate illness. HCQ 400 mg twice for 1 d and HCQ 200 mg twice daily for 6 days were administered. Both study group and controlled group received standard of care (SOC). Pharyngeal swabs and sputum were collected every other day. The proportion and time to negative viral PCR were assessed on day 14. In the retrospective study, medical records were reviewed for patients admitted before March 31, 2020. <b>Results</b> There were 33 and 37 cases in the RCT and retrospective study, respctively. In the RCT, the median times to negative rRT-PCR from randomization to hospital day 14 were 5 days (95% CI; 1–9 days) and 10 days (95% CI; 2–12 days) for the HCQ and SOC groups, respectively (<i>p</i> = 0.40). On day 14, 81.0% (17/21) and 75.0% (9/12) of the subjects in the HCQ and SOC groups, respectively, had undetected virus (<i>p</i> = 0.36). In the retrospective study, 12 (42.9%) in the HCQ group and 5 (55.6%) in the control group had negative rRT-PCR results on hospital day 14 (<i>p</i> = 0.70). <b>Conclusions</b> Neither study demonstrated that HCQ shortened viral shedding in mild to moderate COVID-19 subjects.
DOI: 10.6084/m9.figshare.12631340
title: Microstructure_data

description: Microstructure_template.scad is a template to build artificial microstructure at a factor scale of 300, mimicking one ramus and its sensilla of a pectinate antenna of a male <i>Samia cynthia</i> moth. RS1 and RS1 middle are raw data from a high-speed camera that we recorded at the velocities indicated in the folders. The fluid was rapeseed oil which has a kinematic viscosity of 50 mm/s² at 29°C. Wall_effects is a FEM simulation to determine wall effects that we had in our experiment with the artificial microstructure. The Matlab code Microstructure_capture was then used to determine the mass transfer of pheromone on a microstructure in an infinite puff.<br>
DOI: 10.21227/mdre-hr24
title: Data Bandwidth Measurement for Conference Call Data Usage

description: During the first half of 2020, the COVID-19 pandemic changed the social gathering lifestyle to online business and social interaction. The worldwide imposed travel bans and national lockdown prevented social gatherings, making learning institutions and businesses to adopt an online platform for learning and business transactions. This development led to the incorporation of video conferencing into daily activities. This data article presents broadband data usage measurement collected using Glasswire software on various conference calls made between July and August. The services considered in this work are Google Meet, Zoom, Mixir, and Hangout. The data were recorded in Microsoft Excel 2016, running on a personal computer. The data was cleaned and processed using google colaboratory, which runs Python scripts on the browser. Exploratory data analysis is conducted on the data set using linear regression to model a predictive model to assess the best performance model that offers the best quality of service for online video and voice conferencing. The data is necessary to learning institutions using online programs and to learners accessing online programs in a smart city and developing countries. The data is presented in tables and graphs
DOI: 10.6084/m9.figshare.12631289
title: Raw_electrophysiological_recording_data_of_M01_9W

description: Raw electrophysiological recording data of M01 at 9W
DOI: 10.6084/m9.figshare.12631241
title: AS_gff3

description: the gff3 files of lncRNA splicing patterns in human cancers
DOI: 10.6084/m9.figshare.12631289.v1
title: Raw_electrophysiological_recording_data_of_M01_9W

description: Raw electrophysiological recording data of M01 at 9W
DOI: 10.6084/m9.figshare.12631241.v1
title: AS_gff3

description: the gff3 files of lncRNA splicing patterns in human cancers
DOI: 10.6084/m9.figshare.12631097
title: fasta

description: fasta files for the splicing patterns of lncRNAs
DOI: 10.6084/m9.figshare.12631097.v1
title: fasta

description: fasta files for the splicing patterns of lncRNAs
DOI: 10.6084/m9.figshare.12630977
title: Metadata

description: Description of the predictor variables used in the study.
DOI: 10.6084/m9.figshare.12630977.v1
title: Metadata

description: Description of the predictor variables used in the study.
DOI: 10.6084/m9.figshare.12630818
title: Zootaxa article landing page (HTML) and extracted references

description: Article landing pages for each Zootaxa article, together with extracted references as text file and CSL JSON
DOI: 10.6084/m9.figshare.12630779
title: Zootaxa tables of contents for each issue (HTML)

description: Zootaxa tables of contents
DOI: 10.6084/m9.figshare.12630782
title: Zootaxa lists of issues (HTML)

description: Zootaxa list of issues
DOI: 10.6084/m9.figshare.12630779.v2
title: Zootaxa tables of contents for each issue (HTML)

description: Zootaxa tables of contents
DOI: 10.6084/m9.figshare.12630818.v1
title: articles.zip

description: Article landing pages for Zootaxa articles
DOI: 10.6084/m9.figshare.12630770
title: Cited literature in RIS format

description: RIS file containing literature cited by Zootaxa.
DOI: 10.6084/m9.figshare.12630773.v1
title: cited.tsv.zip

description: The TSV file has a header row mostly of CSL terms (e.g., "title", "container-title", "DOI"). The first column ("guid") is the DOI of the Zootaxa article that cites that work, "guid-date" is the date of publication of the Zootaxa article. The final column "unstructured" is the original citation string. Each data row is a single work that is cited, the "guid" field groups together works cited by the same <i>Zootaxa</i> article.<br>
DOI: 10.6084/m9.figshare.12630779.v1
title: contents.zip

description: Zootaxa tables of contents
DOI: 10.6084/m9.figshare.12630818.v2
title: Zootaxa article landing page (HTML) and extracted references

description: Article landing pages for each Zootaxa article, together with extracted references as text file and CSL JSON
DOI: 10.6084/m9.figshare.12630818.v3
title: Zootaxa article landing page (HTML) and extracted references

description: Article landing pages for each Zootaxa article, together with extracted references as text file and CSL JSON
DOI: 10.6084/m9.figshare.12630767
title: 137 differentially expressed circRNA in HCC cells after sorafenib treatment

description: We treated three HCC cell lines with sorafenib and then performed circRNA sequencing, 137 diffenentially expressed circRNAs were achieved (Fold change≥2, p value&lt;0.05), including 102 up-regulated and 35 down-regulated circRNAs).
DOI: 10.6084/m9.figshare.12630782.v2
title: Zootaxa lists of issues (HTML)

description: Zootaxa list of issues
DOI: 10.6084/m9.figshare.12630767.v1
title: 137 differentially expressed circRNA in HCC cells after sorafenib treatment

description: We treated three HCC cell lines with sorafenib and then performed circRNA sequencing, 137 diffenentially expressed circRNAs were achieved (Fold change≥2, p value&lt;0.05), including 102 up-regulated and 35 down-regulated circRNAs).
DOI: 10.6084/m9.figshare.12630770.v1
title: cited.ris.zip

description: RIS file containing literature cited by Zootaxa.
DOI: 10.6084/m9.figshare.12630773.v2
title: cited.tsv.zip

description: The TSV file has a header row mostly of CSL terms (e.g., "title", "container-title", "DOI"). The first column ("guid") is the DOI of the Zootaxa article that cites that work, "guid-date" is the date of publication of the Zootaxa article. The final column "unstructured" is the original citation string. Each data row is a single work that is cited, the "guid" field groups together works cited by the same <i>Zootaxa</i> article.<br>
DOI: 10.6084/m9.figshare.12630782.v1
title: html.zip

description: Zootaxa list of issues
DOI: 10.6084/m9.figshare.12630770.v2
title: cited.ris.zip

description: RIS file containing literature cited by Zootaxa.
DOI: 10.6084/m9.figshare.12630770.v4
title: Cited literature in RIS format

description: RIS file containing literature cited by Zootaxa.
DOI: 10.6084/m9.figshare.12630770.v3
title: Cited literature in RIS format

description: RIS file containing literature cited by Zootaxa.
DOI: 10.6084/m9.figshare.12630644
title: CHACUBA - Supplementary Table 5

description: Rsb values exclusive to the Chacuba population
DOI: 10.6084/m9.figshare.12630644.v1
title: CHACUBA - Supplementary Table 5

description: Rsb values exclusive to the Chacuba population
DOI: 10.6084/m9.figshare.12630566
title: DR2UC

description: Four modified IEEE test systems are presented here. Data are presented in the include file format of GAMS. A GAMS model of security-constrained unit commitment is provided as well.The wind power data available from Pan-Canadian Wind Integration Study is introduced, and how we use these data to perform the numerical experiments in the paper "Addressing the Conditional and Correlated Wind Power Forecast Errors in Unit Commitment by Distributionally Robust Optimization" is described.