cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16908490.v2
title: Children’s online collaborative storytelling during 2020 COVID-19 home confinemen

description: Collaborative storytelling encourages prosocial behaviors and shared representations when the group works towards a common goal. Thus, it can be a valuable pedagogical tool in traditional and distance education. This study investigates children's storytelling and collaborative behaviors during an online collaborative storytelling activity throughout the 2020 SARS-CoV-2 home confinement in Spain. From 1st to 5th grade of primary school, one-hundred-sixteen students conducted weekly activity sessions in a virtual space structured and adapted to their digital skills. The activity aimed to promote storytelling, collaboration, and deal with the social distancing derived from the home confinement and closure of schools due to the SARS-CoV-2 pandemic. Participants and four facilitators met up in a virtual classroom platform with several Google Meet rooms. The activity started in the main videocall room, where facilitators proposed a topic to the students from an image. Then, they asked children to shift into small groups in different secondary video call rooms to create their stories. Finally, children came back to the main videocall room to tell and share their stories. Facilitators observed and registered participants' platform use and collaboration. Also, stories were transcribed verbatim and analyzed using the Bears Family Integrated Story Analysis System. Moreover, three categories related to the SARS-CoV-2 pandemic were added to the story content analysis. Results indicate that primary students worked collaboratively in an online environment, with some methodology adaptations to 1st and 2nd grade because of a more limited digital autonomy. Story lengths tend to be reduced with age, while cohesion and story structure show more stable values in all grades. All stories are balanced in positive and negative contents, especially in characters' behavior and relationships, while story problems remain at positive solution levels. In addition, the pandemic theme emerged directly or indirectly in only 15% of the stories.
DOI: 10.6084/m9.figshare.16908490.v1
title: Children’s online collaborative storytelling during 2020 COVID-19 home confinemen

description: Collaborative storytelling encourages prosocial behaviors and shared representations when the group works towards a common goal. Thus, it can be a valuable pedagogical tool in traditional and distance education. This study investigates children's storytelling and collaborative behaviors during an online collaborative storytelling activity throughout the 2020 SARS-CoV-2 home confinement in Spain. From 1st to 5th grade of primary school, one-hundred-sixteen students conducted weekly activity sessions in a virtual space structured and adapted to their digital skills. The activity aimed to promote storytelling, collaboration, and deal with the social distancing derived from the home confinement and closure of schools due to the SARS-CoV-2 pandemic. Participants and four facilitators met up in a virtual classroom platform with several Google Meet rooms. The activity started in the main videocall room, where facilitators proposed a topic to the students from an image. Then, they asked children to shift into small groups in different secondary video call rooms to create their stories. Finally, children came back to the main videocall room to tell and share their stories. Facilitators observed and registered participants' platform use and collaboration. Also, stories were transcribed verbatim and analyzed using the Bears Family Integrated Story Analysis System. Moreover, three categories related to the SARS-CoV-2 pandemic were added to the story content analysis. Results indicate that primary students worked collaboratively in an online environment, with some methodology adaptations to 1st and 2nd grade because of a more limited digital autonomy. Story lengths tend to be reduced with age, while cohesion and story structure show more stable values in all grades. All stories are balanced in positive and negative contents, especially in characters' behavior and relationships, while story problems remain at positive solution levels. In addition, the pandemic theme emerged directly or indirectly in only 15% of the stories.
DOI: 10.6084/m9.figshare.16909234.v2
title: Evaluating public health spending in the Philippines using an autoregressive distributed lag (ARDL) approach

description: This study aims to identify the determinants of the Philippine public health expenditure to understand and help the country's policymakers address issues concerning the country's rising yet small share of public health spending. Using time-series data from 1961 to 2019, this study employed the Autoregressive Distributed Lag (ARDL) approach to analyze the long- and short-run relationships between the Philippine national government’s health spending and select economic and health factors.
DOI: 10.6084/m9.figshare.14782737.v4
title: Observational and modelled data

description: To evaluate model performance, we integrated several types of data collected in the ESI and Scotian Shelf. We also uploaded the model configuration model results and related code.
DOI: 10.6084/m9.figshare.14782737.v3
title: Observational and modelled data

description: To evaluate model performance, we integrated several types of data collected in the ESI and Scotian Shelf. We also uploaded the model configuration, initial condition, model results and related code.
DOI: 10.6084/m9.figshare.14330795.v10
title: Dexamethasone modulates immature neutrophils and interferon programming in severe COVID-19

description: While critical for host defense, innate immune cells are also pathologic drivers of acute respiratory distress syndrome (ARDS). Innate immune dynamics during COVID-19 ARDS, compared to ARDS from other respiratory pathogens, is unclear. Moreover, mechanisms underlying beneficial effects of dexamethasone during severe COVID-19 remain elusive. Using scRNA-seq and plasma proteomics, we discovered that compared to bacterial ARDS, COVID-19 was associated with distinct neutrophil polarization characterized by interferon (IFN) and prostaglandin (PG) active states. Dexamethasone during severe COVID-19 depleted circulating neutrophils, altered IFN<sup>active</sup> neutrophils, downregulated interferon-stimulated gene, and activated IL1R2<sup>+ve</sup> neutrophils. Dexamethasone also expanded immature neutrophils expressing immunosuppressive molecules and remodeled cellular interactions by changing neutrophils from information receivers into information providers. Male patients had higher proportions of IFN<sup>active</sup> neutrophils, preferential steroid-induced immature neutrophil expansion, and possibly different effects on outcome. Our single-cell atlas (www.biernaskielab.ca/COVID_neutrophil) defines COVID-19-enriched neutrophil states and molecular mechanisms of dexamethasone action to develop targeted immunotherapies for severe COVID-19.<br>
DOI: 10.6084/m9.figshare.14330795.v9
title: Dexamethasone modulates immature neutrophils and interferon programming in severe COVID-19

description: While critical for host defense, innate immune cells are also pathologic drivers of acute respiratory distress syndrome (ARDS). Innate immune dynamics during COVID-19 ARDS, compared to ARDS from other respiratory pathogens, is unclear. Moreover, mechanisms underlying beneficial effects of dexamethasone during severe COVID-19 remain elusive. Using scRNA-seq and plasma proteomics, we discovered that compared to bacterial ARDS, COVID-19 was associated with distinct neutrophil polarization characterized by interferon (IFN) and prostaglandin (PG) active states. Dexamethasone during severe COVID-19 depleted circulating neutrophils, altered IFN<sup>active</sup> neutrophils, downregulated interferon-stimulated gene, and activated IL1R2<sup>+ve</sup> neutrophils. Dexamethasone also expanded immature neutrophils expressing immunosuppressive molecules and remodeled cellular interactions by changing neutrophils from information receivers into information providers. Male patients had higher proportions of IFN<sup>active</sup> neutrophils, preferential steroid-induced immature neutrophil expansion, and possibly different effects on outcome. Our single-cell atlas (www.biernaskielab.ca/COVID_neutrophil) defines COVID-19-enriched neutrophil states and molecular mechanisms of dexamethasone action to develop targeted immunotherapies for severe COVID-19.<br>
DOI: 10.6084/m9.figshare.3761562.v2053
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.3761562.v2052
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.16987873.v1
title: Appendix E - Results of amplification and sequencing

description: These are the unfiltered fastagz files containing the results of amplification and sequencing. 2018 samples begin with the sample code (site-control/treatment/samplenumber-16s) while 2019 samples begin with GMPGEN followed by the sample code (site/control/treatment-samplenumber). The sample number is 0 for in situ samples, 1 for samples taken on day 1 of the experiment and 4 for day 21 of the experiment. This dataset is for Appendix E of Lauren Koiter's thesis "The effect of glyphosate on bacteria and archaea community composition in freshwater biofilms" (2021).<br>This dataset is a part of Lauren Koiter’s M.Sc. Thesis through the University of Waterloo Department of Biology. The thesis is researching the effects of glyphosate on the bacteria and archaea community composition of freshwater biofilms in North America. Full information on the materials and methods used in data collection is available in the thesis through the University of Waterloo. <br>
DOI: 10.6084/m9.figshare.16961827.v2
title: 2-Water pollution discharge and excess pollution discharge at the enterprise level in Jiangsu Province

description: Water pollution discharge and excess pollution discharge at the enterprise level in Jiangsu Province
DOI: 10.6084/m9.figshare.16961827.v1
title: 2-Water pollution discharge at the enterprise level in Jiangsu Province

description: Water pollution discharge at the enterprise level in Jiangsu Province
DOI: 10.6084/m9.figshare.17079641.v1
title: TB001-Design of a highly potent GLP-1R and GCGR dual-agonist for recovering hepatic fibrosis

description: Design of a highly potent GLP-1R and GCGR dual-agonist for recovering hepatic fibrosis
DOI: 10.6084/m9.figshare.17142371.v1
title: SDM-Genomic-Datasets

description: These datasets are generated from cosmic mutation dataset in COSMIC database (GRCh37, version90) with the purpose of evaluating available ontology-based Data Integration engines.They include datasets with different number of records (10k, 100k, 1 million, and 10 million records), attributes (2-15), and duplicated values (25-75 percent of duplicated records and each duplicated value being repeated 10/20 times).Also, several samples of impacting mapping rule types to integrate these datasets are provided as well.<br>The details of generation of these datasets can be found in the papers where they have been used in empirical evaluation: https://doi.org/10.1145/3340531.3412881 and 10.5281/zenodo.3993657<br><b>This is version 2.0</b><br><br>
DOI: 10.6084/m9.figshare.16834492.v7
title: Gula & Barlow, West African marabou stork colonies

description: Known marabou stork nesting colonies in West Africa, historic and recent
DOI: 10.6084/m9.figshare.16834492.v8
title: Gula & Barlow, West African marabou stork colonies

description: Known marabou stork nesting colonies in West Africa, historic and recent
DOI: 10.6084/m9.figshare.16834492.v10
title: -----

description: -----
DOI: 10.6084/m9.figshare.16834492.v9
title: Gula & Barlow,

description: -----
DOI: 10.6084/m9.figshare.9616319.v6
title: MUG500+ Repository

description: Database of 500 High-resolution Healthy Human Skulls and 29 Craniotomy Skulls and Implants.<br>If you use any part of the dataset, please use the following references for citation in your work:<br>Li J., et al. MUG500+ Repository. Figshare, 2021. DOI: 10.6084/m9.figshare.9616319<br>Li J., et al. MUG500+: Database of 500 High-resolution Healthy Human Skulls and 29 Craniotomy Skulls and Implants. Data in Brief, Elsevier, 2021.<br>A recorded tutorial video about the semi-automatic cranial implant design workflow with Geomagic Sculpt can be viewed at:<br>https://www.youtube.com/watch?v=FzaR3ydjaSc<br>
DOI: 10.6084/m9.figshare.9616319.v5
title: MUG500+ Repository

description: Database of 500 High-resolution Healthy Human Skulls and 29 Craniotomy Skulls and Implants.<br>If you use any part of the dataset, please use the following references for citation in your work:<br>Li J., et al. MUG500+ Repository. Figshare, 2021. DOI: 10.6084/m9.figshare.9616319<br>Li J., et al. MUG500+: Database of 500 High-resolution Healthy Human Skulls and 29 Craniotomy Skulls and Implants. Data in Brief, Elsevier, 2021.<br>A recorded tutorial video about the semi-automatic cranial implant design workflow with Geomagic Sculpt can be viewed at:<br>https://www.youtube.com/watch?v=FzaR3ydjaSc<br>
DOI: 10.6084/m9.figshare.15025263.v2
title: Future changes in the frequency of weather types over the South Atlantic Ocean: Data_results

description: The files of frequencies of historical occurrence is composed of the frequencies of relative occurrence of each weather type for the reference period, from the CFSR reanalysis data and the simulated frequencies for each model. The future projections file consists of the projected frequencies of occurrence and the magnitude of the changes for each scenario, time interval and model.<br>Climate change is expected to affect the frequency of regional atmospheric circulation patterns and, consequently, it will result in changes in meteorological and oceanographic conditions. Here, we present a dataset that consists of the frequency of the main atmospheric patterns (weather types) over the South Atlantic Ocean in the past and future. We used a reanalysis hindcast to identify 25 weather types representing the typical synoptic conditions in the region over the past 32 years. We verified the performance of the CMIP5 and CMIP6 projections on describing the frequency of these main weather types over the South Atlantic and assessed the potential changes in these frequencies in the future. The scenarios project variations of up to 3% in the frequency of some weather types over the 21st century. The data set and the performance analysis presented here can be used to support future statistical analysis, such as statistical downscaling experiments of oceanographic variables and studies on climate variations in the South Atlantic.<br>
DOI: 10.6084/m9.figshare.15025263.v1
title: Data_results

description: The files of frequencies of historical occurrence is composed of the frequencies of relative occurrence of each weather type for the reference period, from the CFSR reanalysis data and the simulated frequencies for each model. The future projections file consists of the projected frequencies of occurrence and the magnitude of the changes for each scenario, time interval and model.
DOI: 10.6084/m9.figshare.12709361.v3
title: Supporting Information for genome assembly paper of six Erwinia mallotivora Philippine isolates

description: In this study, we provide the first whole genome sequences of Philippine isolates of <i>E. mallotivora</i> to significantly contribute to the scarce genomic knowledge for this species in comparison with other members of the genus <i>Erwinia</i> for facilitated species identification and downstream functional genomics studies.
DOI: 10.6084/m9.figshare.12709361.v2
title: Supporting Information for genome assembly paper of six Erwinia mallotivora Philippine isolates

description: In this study, we provide the first whole genome sequences of Philippine isolates of <i>E. mallotivora</i> to significantly contribute to the scarce genomic knowledge for this species in comparison with other members of the genus <i>Erwinia</i> for facilitated species identification and downstream functional genomics studies.
DOI: 10.6084/m9.figshare.17134268.v3
title: Semantic Priming English and Chinese Words - Errors Database by Subjects

description: This database contains the average proportion of orthographic, phonological and control-stimuli mistakes made in a semantic priming task using English and Chinese words
DOI: 10.6084/m9.figshare.17134268.v2
title: Semantic Priming English and Chinese Words - Errors - Ng & Suarez

description: This database contains the number and proportion of orthographic, phonological and control-stimuli mistakes made in a semantic priming task using English and Chinese words
DOI: 10.5281/zenodo.5935702
title: MS MRI Data Set

description: MS MRI Data Set https://github.com/mihirrocks9999/MS-AI
DOI: 10.5281/zenodo.5935701
title: MS MRI Data Set

description: MS MRI Data Set https://github.com/mihirrocks9999/MS-AI
DOI: 10.6084/m9.figshare.12852660
title: An effective ‘weapon’ for the weak? Digital media and interest groups’ media success

description: The equalization-normalization debate concerns whether the Internet equalizes politics by empowering resource-poor organizations, or whether it further strengthens the position of resource-rich organizations. We address this debate by studying how interest groups’ utilization of digital media is associated with their success in influencing news media. We suggest digital media is characterized by the coexistence of old and new media logics that benefit resource-rich and resource-poor groups in different ways. Analyzing a dataset of 1,127 Finnish interest groups, we found that groups’ utilization of digital media is positively associated with their news media success, yet traditional ways of influencing the news media remain more effective. Among resource-rich groups with larger public relations staff, blog publishing is positively associated with both media access (media visibility) and agenda-building success (influencing news topics). In contrast, utilization of digital media among resource-poor groups only correlates with agenda-building success, and audiovisual content is more effective than other content. We suggest that while resource-poor groups benefit from network media logic in which the flow of information is initially based on popularity among social media users, resource-rich groups can exploit mass media logic where traditional journalistic gatekeeping is more important. The findings also imply that digital media has not decreased resource-related bias in interest groups’ media access.
DOI: 10.6084/m9.figshare.12852660.v1
title: An effective ‘weapon’ for the weak? Digital media and interest groups’ media success

description: The equalization-normalization debate concerns whether the Internet equalizes politics by empowering resource-poor organizations, or whether it further strengthens the position of resource-rich organizations. We address this debate by studying how interest groups’ utilization of digital media is associated with their success in influencing news media. We suggest digital media is characterized by the coexistence of old and new media logics that benefit resource-rich and resource-poor groups in different ways. Analyzing a dataset of 1,127 Finnish interest groups, we found that groups’ utilization of digital media is positively associated with their news media success, yet traditional ways of influencing the news media remain more effective. Among resource-rich groups with larger public relations staff, blog publishing is positively associated with both media access (media visibility) and agenda-building success (influencing news topics). In contrast, utilization of digital media among resource-poor groups only correlates with agenda-building success, and audiovisual content is more effective than other content. We suggest that while resource-poor groups benefit from network media logic in which the flow of information is initially based on popularity among social media users, resource-rich groups can exploit mass media logic where traditional journalistic gatekeeping is more important. The findings also imply that digital media has not decreased resource-related bias in interest groups’ media access.
DOI: 10.6084/m9.figshare.16783054.v1
title: Exclusion and bias: tDCS effect

description: Database
DOI: 10.6084/m9.figshare.19103180
title: Dataset pm25 reduction.xlsx

description: survey data of 250 Korean students on bikeshare intention
DOI: 10.5258/soton/d2078
title: Polarization fading mitigation in distributed acoustic sensors based on a high-speed polarization rotator

description: Dataset support paper "Polarization fading mitigation in distributed acoustic sensors based on a high-speed polarization rotator" in Optics Letters A distributed optical fiber acoustic sensor based on interferometric demodulation technique with no polarization fading is demonstrated. A polarization diversity scheme based on high-speed polarization rotator is used to eliminate signal fading due to polarization mismatch in the Rayleigh backscattered signal between adjacent points on the sensing fiber. This technique yields a spatially uniform response to the applied strain. The sensor exhibited a spatial and strain resolutions of &lt;4 m and &lt;7 nε, respectively
DOI: 10.5519/qd.uc14p4nw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3 records)
DOI: 10.5519/qd.7jh1hv5d
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (24 records)
DOI: 10.6084/m9.figshare.19103057
title: Testing the role of testosterone versus estrogens in mediating reproductive transitions in female rhesus macaques

description: 1) validation_samples_LCMS.xlsxThe data in the third sheet contains measures of hormone metabolites used to create Figure 2. <br>2) study2_1_data.csvData for study 2-1. -"id" = unique number for each female-"infage" = current offspring age in days since birth-"sex" = sex of current offspring-"rep" = whether (1) or not (0) a female reproducec in the following year-"momrank" = rank of female (3: low, 2: middle, 1: high)-"momage" = age of a female in years-"estro" = measures of E1C -"etio" = measures of etiocholanolone<br>3) study2_2_data.csvData for study 2-2.<br>-"id" = unique number for each female-"ventrum" = proportion of time observed to form belly-to-belly contact with current offspring-"infage" = current offspring age in days since birth-"sex" = sex of current offspring-"rep" = whether (1) or not (0) a female reproducec in the following year-"momrank" = rank of a female (3: low, 2: middle, 1: high)-"momage" = age of a female in years-"estro" = measures of E1C -"etio" = measures of etiocholanolone-"personmean_estro" = average of E1C measures within each female -"personmean_etio" = average of etiocholanolone measures within each female