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Found 10 result(s)

Data.gov.au

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Country
Data.gov.au provides public access, download, and reuse to raw data from the Australian Government, state and territory governments. Data.gov.au encourages user feedback and suggestions. Site upgrades and new features will be made over time.

UNESCO Institute for Statistics, Data Centre

UIS.stat

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A primary source for cross-nationally comparable statistics on education, science and technology, culture, and communication for more than 200 countries and territories.

Open Data by Socrata

Socrata

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>>>!!!<<< This site is going away on April 1, 2021. General access to the site has been disabled and community users will see an error upon login. >>>!!!<<< Socrata’s cloud-based solution allows government organizations to put their data online, make data-driven decisions, operate more efficiently, and share insights with citizens.

PSLC DataShop

Pittsburgh Science of Learning Center DataShop

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PSLC DataShop houses datasets in the areas of learning science and educational software. The site also provides online tools for analyzing and reporting the data.

Humanitarian Data Exchange

HDX

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The Humanitarian Data Exchange (HDX) is an open platform for sharing data across crises and organisations. Launched in July 2014, the goal of HDX is to make humanitarian data easy to find and use for analysis. HDX is managed by OCHA's Centre for Humanitarian Data, which is located in The Hague. OCHA is part of the United Nations Secretariat and is responsible for bringing together humanitarian actors to ensure a coherent response to emergencies. The HDX team includes OCHA staff and a number of consultants who are based in North America, Europe and Africa.

London Datastore

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The London Datastore is an initiative by the Greater London Authority (GLA) to release as much of the data that it holds as possible.

Kujawsko-Pomorska Digital Library

Kujawsko-Pomorska Biblioteka Cyfrowa

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The KPDL covers cultural heritage, scientific and regional collections – digital copies of different forms of publications: books, journals, graphics, articles, leaflets, posters, playbills, photographs, invitations, maps, exhibition catalogues and trade fairs of the region. The Kujawsko-Pomorska Digital Library is to serve scientists, students, schoolchildren and all the citizens of the region.

Measures of Effective Teaching - Longitudinal Database

MET Longitudinal Database

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The Measures of Effective Teaching(MET) project is the largest study of classroom teaching ever conducted in the United States. The University of Michigan compiled the MET data and video files into a rich research collection called the MET Longitudinal Database. Approved researchers can access the restricted MET quantitative and video data using secure online technical systems. The MET Longitudinal Database consists of a Web-based application for searching the collection and viewing the videos with accompanying metadata, and a Virtual Data Enclave that provides secure remote access to the quantitative data and documentation files.

diversitydata.org

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diversitydata.org is an online tool for exploring quality of life data across metropolitan areas for people of different racial/ethnic groups in the United States. It provides values and rankings for the largest U.S. metropolitan areas on different indicators in 8 areas of life (domains), including demographics, education, economic opportunity, housing, neighborhoods, and health. It also provides a simple mapping utility, showing the range of indicator values for metros across the U.S. Data from 1999 indicators is archives in the companion Diversity Data Archive (https://diversitydata-archive.org/). For a wider selection of data on child wellbeing, visit our partner site, diversitydatakids.org (https://www.diversitydatakids.org/). diversitydata.org has been named a Health Data All Star by the Health Data Consortium. The list was compiled in consultation with leading health researchers, government officials, entrepreneurs, advocates and others to identify the health data resources that matter most.

OpenML

Open Machine Learning

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OpenML is an open ecosystem for machine learning. By organizing all resources and results online, research becomes more efficient, useful and fun. OpenML is a platform to share detailed experimental results with the community at large and organize them for future reuse. Moreover, it will be directly integrated in today’s most popular data mining tools (for now: R, KNIME, RapidMiner and WEKA). Such an easy and free exchange of experiments has tremendous potential to speed up machine learning research, to engender larger, more detailed studies and to offer accurate advice to practitioners. Finally, it will also be a valuable resource for education in machine learning and data mining.