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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,992 datasets
A nationwide multi-cluster needs assessment provides a quantitative evidence base for humanitarian decision-making in Iraq. The assessment was conducted in 2017 by UNHCR to understand multi-sectoral household conditions and priority needs of conflict-affected populations. It enables analysis of geographic differences in needs and identification of mid to long-term trends.
The Multi Cluster Needs Assessment (MCNA) is the primary multi-cluster nationwide needs assessment in Iraq, providing a quantitative evidence base for humanitarian decision makers. It was conducted in 2018 by UNHCR to understand multi-sectoral household conditions and priority needs of conflict-affected populations. The assessment enables in-depth nationwide analysis to identify trends and shifting needs over time.
The 2019 Multi Cluster Needs Assessment (MCNA) provides a quantitative evidence base for humanitarian decision-making in Iraq. The assessment, conducted by UNHCR, analyzes multi-sectoral household conditions and priority needs of conflict-affected populations across the country. It is designed to inform planning, sector prioritization, and target group identification for the humanitarian response.
The 2020 Multi Cluster Needs Assessment (MCNA) provides a quantitative evidence base for humanitarian decision-making in Iraq. It was conducted by UNHCR and other clusters to understand multi-sectoral household conditions and priority needs of conflict-affected populations. The assessment allows for in-depth nationwide analysis to identify trends and inform strategic programming.
The Multi Cluster Needs Assessment (MCNA) is a primary nationwide assessment providing a quantitative evidence base for humanitarian decision-making in Iraq. It was conducted in 2021 by UNHCR - The UN Refugee Agency to understand multi-sectoral household conditions and priority needs of conflict-affected populations. The assessment allows for in-depth nationwide analysis to identify trends and shifting needs over time.
The Multi Cluster Needs Assessment (MCNA) provides a quantitative evidence base for humanitarian decision-making in Iraq. It is a nationwide assessment of multi-sectoral household conditions and priority needs among conflict-affected populations, led by UNHCR. The findings from the 2022 iteration inform planning, sector prioritization, and target group identification.
UNHCR's Vulnerability Assessment Tool (VAT) data was collected from mid-2018 to March 2020, targeting both camp and urban refugee populations in Iraq. The assessment focused on immediate food security and medium-term multi-sectoral vulnerability across shelter, health, education, and specific needs. The data was used to generate programmatic recommendations for targeting the most vulnerable individuals.
511 posts from BBC Verify Live's launch period were systematically coded to analyze transparency in live journalism. The dataset captures the evaluation of 544 claims across variables like topic selection, sourcing, and visual verification. This content analysis was conducted by researcher Stephen Cushion and covers posts from June 3 to July 31, 2025.
United States Environmental Protection Agency data on the percentage of river and stream miles in good ecological condition. The dataset includes the 2018-19 national estimate and the change in condition between the 2013-14 and 2018-19 survey periods, with results based on indicators for nutrients, biology, and human health. Data was extracted from the EPA's public National Rivers and Streams Assessment Dashboard.
Government Digital Service data shows the percentage of children in York, UK, who secured their first-choice primary school in the annual admissions round. The dataset is a snapshot linked to the academic year following the financial year shown and is published under the OGL-UK-3.0 license. Column-level details are not provided in the available metadata.
Government Digital Service data on homelessness assessments, focusing on the percentage of cases where a violent relationship breakdown was the reason for loss of home. The dataset is provided via the eu_open_data platform under the OGL-UK-3.0 license. The last update date and specific scale of the data are unknown.
Government Digital Service data on the percentage of after school clubs achieving 'good' or 'outstanding' inspection ratings. The dataset is published under the Open Government Licence (OGL-UK-3.0) and is available in CSV format. Its specific temporal coverage and geographic scope are not detailed in the provided metadata.
U.S. EPA National Rivers & Streams Assessment data exports show the percentage of river and stream miles in fair condition for the 2018-19 survey period. The dataset likely contains indicator values for nitrogen, phosphorus, biological, physical, and human health metrics, with condition determined by comparing to NRSA-specific regional or national benchmarks. It includes calculated changes and confidence intervals for trends between survey cycles, such as 2008-09 to 2018-19 and 2013-14 to 2018-19.
Pearson’s correlation coefficients and coefficients of determination between peak and rapid force measures. The data was contributed by Nicholas Joel Ripley and last updated on 2026-04-21. The dataset is stored in a 5.5 KB XLS file.
A snapshot dataset on stand-alone apprenticeships, excluding those linked to schools, provided by the Government Digital Service. The data is published under the OGL-UK-3.0 license and is available in CSV format. Specific details on the number of rows, columns, and last update date are currently unknown.
UK government data from the Government Digital Service, published under the OGL-UK-3.0 license. The dataset appears to contain percentages of homelessness assessments where the reason for loss of home was a violent relationship breakdown, aggregated on a year-to-date basis. The specific temporal coverage, row count, and last update date are unknown.
Government Digital Service data on homelessness assessments in the UK. The dataset records initial decisions where a relief duty is owed to individuals already experiencing homelessness, aggregated on a year-to-date basis. It is provided under the OGL-UK-3.0 license.
2018-19 survey data shows the percentage of U.S. river and stream miles in poor condition, with change analyses comparing to the 2008-09 and 2013-14 surveys. Condition is assessed for indicators including nitrogen, phosphorus, biological metrics, acidification, salinity, and human health contaminants like microcystins. All results are presented with 95% confidence intervals, using NRSA-specific regional or national benchmarks.
The U.S. EPA National Rivers and Streams Assessment data shows the percentage of river and stream miles in good condition for indicators like nitrogen, phosphorus, and biological health. It compares results from the 2008-09 and 2018-19 survey periods, with condition determined using regional and national benchmarks. The data was extracted from the EPA's public dashboard and is maintained by the agency's National Aquatic Resource Surveys program.
ScienceModerator hosts a discussion forum on net neutrality's potential impacts on science, collaboration, and communication. The dataset likely contains text posts from invited experts and community participants discussing concerns about access, citizen science, and open access journals. It is shared under an Open Access (diamond) license via paperswithcode.