Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
36
datasets available to search
ShareScore release 0.9.0
Dataset results
36 results for “Covid-19 in schools”
Model-driven mitigation measures for reopening schools during the COVID-19 pandemic.
<p>Complete simulation-generated datasets analyzed in McGee et al. (2021) Model-driven mitigation measures for reopening schools during the COVID-19 pandemic. PNAS. In press at time of upload. (medRxiv 2021.01.22.21250282).</p> <p>Data is uploaded in tab-separated .csv files which have been compressed using gzip. Descriptions of data columns can be found in the column_descriptions.csv file.</p>
Alternative Covid-19 mitigation measures in school classrooms: Analysis using an agent-based model of SARS-CoV-2 transmission
<p>The SARS-CoV-2 epidemic continues to have major impacts on children's education, with schools required to implement infection control measures that have led to long periods of absence and classroom closures. We have developed an agent-based epidemiological model of SARS-CoV-2 transmission that allows us to quantify projected infection patterns within primary school classrooms, and related uncertainties; the basis of our approach is a contact model constructed using random networks, informed by structured expert judgment. The effectiveness of mitigation strategies is considered in terms of effectiveness at suppressing infection outbreaks and limiting pupil absence. Covid-19 infections in schools in the UK in Autumn 2020 are re-examined and the model used for forecasting infection levels in autumn 2021, as the more infectious Delta-variant was emerging and school transmission was thought likely to play a major role in an incipient new wave of the epidemic. Our results are in good agreement with available data and indicate that testing-based surveillance of infections in the classroom population with isolation of positive cases is a more effective mitigation measure than bubble quarantine both for reducing transmission in primary schools and for avoiding pupil absence, even accounting for the insensitivity of self-administered tests. Bubble quarantine entails large numbers of pupils being absent from school, with only a modest impact on classroom infection levels. However, maintaining a reduced contact rate within the classroom can have a major beneficial impact on managing Covid-19 in school settings.</p>
Educational data collected from parents - regarding the analysis of online activities in schools in Romania (during the Covid-19 pandemic, March 2020 - April 2020)
<p>The responses of the 784 parents were collected through the questionnaire available at: <a href="https://forms.gle/Km8WE5QamrYYgXJi7" target="_new" rel="noopener"><strong>https://forms.gle/Km8WE5QamrYYgXJi7</strong></a></p> <p>It was designed with various types of responses, including binomial (yes/no), polynomial (multiple options), and open-ended responses, to capture a comprehensive range of data. This combined approach allows for both quantitative analysis of fixed-response questions and qualitative insights from open-ended questions. Patterns, correlations, and differences between various demographic groups and their experiences and attitudes toward online education can be identified.</p> <p>To protect the identity of the respondents and to obtain accurate responses, all data collected from teachers was anonymous. We did not collect any personal information whatsoever. This aspect was made clear to the respondents in the description of the questionnaire.</p>
Crowdsourced COVID-19 Cases and Outbreaks across Canadian Schools 2020-21: COVID Schools Canada
<p>This archive contains the final data freeze for COVID Schools Canada, and the software used to compile, clean, and plot the data. </p> <p>The <strong>Canada COVID-19 School Tracker</strong> was a 100% volunteer-led project tracking COVID-19 cases and outbreaks in schools across Canada from September 2020 to June 2021. The goal of this project was to highlight the impact of COVID-19 on schools and families; to advocate for safer schools; and to advocate for transparency in our educational system.<br> This project is an initiative of grassroots advocacy group <a href="https://masks4canada.org/">Masks4Canada</a>.</p> <p>To learn more about project and see the interactive map of COVID-19 cases and outbreaks across Canadian schools as compiled by this project, visit <a href="https://covidschoolscanada.org/">https://covidschoolscanada.org/ </a></p> <p>For questions about these data, please contact <a href="mailto:shraddha.pai@utoronto.ca?subject=COVID%20Schools%20Canada%20Zenodo%20archive">Shraddha Pai</a>.</p>
Alternative Covid-19 mitigation measures in school classrooms: Analysis using an agent-based model of SARS-CoV-2 transmission
Open the record for dataset details and reuse information.
Educational data collected from students - regarding the analysis of online activities in schools in Romania (during the Covid-19 pandemic, March 2020 - April 2020)
<p>The student questionnaire was designed with 20 questions. It was completed by 1,088 respondents and focuses on students' experiences related to online education. The collected data provides a broad perspective on various aspects of this, including access to technology, experiences with different platforms, perceptions of the advantages and disadvantages of this form of education, as well as direct feedback from students regarding their experiences. The full questionnaire can be accessed at: <a href="https://forms.gle/fhgzCUx1SDnxbCfZ6" target="_new" rel="noopener"><strong>https://forms.gle/fhgzCUx1SDnxbCfZ6</strong></a></p> <p>To protect the identity of the respondents and to obtain accurate responses, all data collected from teachers was anonymous. We did not collect any personal information whatsoever. This aspect was made clear to the respondents in the description of the questionnaire.</p>
Educational data collected from teachers - for the analysis of online activities in schools in Romania (during the Covid-19 pandemic, March 2020 - April 2020)
<p>The dataset comes from a questionnaire structured into 24 questions, which can be accessed at <a href="https://forms.gle/bUgYMfoNHh7r6ebs6" target="_new" rel="noopener">https://forms.gle/bUgYMfoNHh7r6ebs6</a>. This questionnaire was completed by 956 respondents and aims to analyze the online activities carried out during March - April 2020, being distributed to teachers.<br>Each question is designed to reveal different aspects of the experiences, skills, and perspectives of teaching staff regarding online teaching and learning.</p> <p>To protect the identity of the respondents and to obtain accurate responses, all data collected from teachers was anonymous. We did not collect any personal information whatsoever. This aspect was made clear to the respondents in the description of the questionnaire.</p>
COVID-19: Longitudinal Study of Seroprevalence of SARS-CoV-2 Antibodies and Development of Immunity in School Children
ClinicalTrials.gov study NCT04448717. IPD Sharing: UNDECIDED. Countries: 1. Publications: 14.
Health Information Technology for COVID-19 Testing in Schools (SCALE-UP Counts)
ClinicalTrials.gov study NCT05112900. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Test to Stay in School: COVID-19 Testing Following Exposure in School Communities
ClinicalTrials.gov study NCT05052580. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: From trial to implementation, bringing team-based learning online – Duke-NUS Medical School's response to the COVID-19 pandemic
<p>The restrictions imposed by the COVID-19 pandemic resulted in Duke-NUS Medical School moving all their lessons online. Duke-NUS employs a team-based learning (TBL) pedagogy, which depends heavily on student discussion. In 2015, our university had implemented an eLearning week where lessons were conducted online. Using the already present online assessment processes, the data, insights and student feedback allowed for swift implementation of an online TBL module for home-based learning in response to the pandemic in 2020. These protocols were modified over the weeks, guided by feedback from students and faculty. An analysis of this online TBL module is presented herein.</p>
Analysis of factors influencing the network teaching effect of college students in a medical school during the COVID-19 epidemic
<p><strong>Analysis of factors influencing the network teaching effect of college students in a medical school during the COVID-19 epidemic</strong></p>
Surveys reporting feedback from families attending Early Childhood Services during 5-month school closure due to COVID-19: an Italian experience
<p>This dataset reports results of two surveys distributed by <em>Cooperativa Sociale Aeris </em> during Covid19 pandemic to families attending its Early Childhood Services dedicated to 0-3 aged children. Aeris is a social enterprise based in northern Italy that deals with socio-educational and welfare services. One of Aeris activities deals with the management of the ten Early Childhood Services located in the northern Italy which are dedicated to 0-3 aged children. After the school closure occurred the 24<sup>th</sup> of February 2020, Aeris organized online activities to keep contacts with families, to support children as well as their parents. With the aim of assessing if the adopted organization and proposed activities had positive feedback on families, a first survey was distributed in May 2020 and a second survey was distributed in October 2020 to families attending the Early Childhood Services. Survey results are reported in this dataset. Even if several worldwide actions have been implemented to guarantee educational continuity during Covid19 pandemic, most of these actions targeted 3-18 years old children/adolescents, while the subgroup 0-3 was rarely included.</p>
COVID-19 Surveillance and Exposure Testing in School Communities
ClinicalTrials.gov study NCT04831866. IPD Sharing: NO. Countries: 1. Publications: 1.
Back to School COVID-19 Simulation Study
ClinicalTrials.gov study NCT04531254. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Data Collection on the Model Schools Pediatric Health Initiative at 5 SBHC Sites: COVID-19 Questionnaire
ClinicalTrials.gov study NCT04534595. IPD Sharing: UNDECIDED. Countries: 1. Publications: 9.
Musculoskeletal Problems in School Children During the COVID-19 Pandemic
ClinicalTrials.gov study NCT04954612. IPD Sharing: Not stated. Countries: 1. Publications: 6.
Facilitating COVID-19 Test for Korean Americans Through Korean Schools in Northern California
ClinicalTrials.gov study NCT05435482. IPD Sharing: YES. Countries: 1. Publications: 0.
Data from: From trial to implementation, bringing team-based learning online – Duke-NUS Medical School’s response to the COVID-19 pandemic
Open the record for dataset details and reuse information.
Coronavirus Disease of 2019 (COVID-19) Health Education Initiative for School Safety
ClinicalTrials.gov study NCT06938230. IPD Sharing: NO. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.