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Found 10 result(s)
The Metropolitan Travel Survey Archive (MTSA) includes travel surveys from numerous public agencies across the United States. The Transportation Secure Data Center has archived these surveys to ensure their continued public availability. The survey data have been converted to a standard file format and cleansed to remove personally identifiable information, including any detailed spatial data regarding individual trips.
Country
The Portal is intended to be used as catalog of datasets published by ministries/ department/ organizations of Government of India for public use, in order to enhance transparency in the functioning of the Government as well as to make innovative visualization of dataset. This National Data Portal is being updated frequently to make it as accessible as possible and completely accessible to all irrespective of physical challenges or technology.
The Portal aims to serve as a unique access point to timely, comprehensive migration statistics and reliable information about migration data globally. The site is designed to help policy makers, national statistics officers, journalists and the general public interested in the field of migration to navigate the increasingly complex landscape of international migration data, currently scattered across different organisations and agencies. Especially in critical times, such as those faced today, it is essential to ensure that responses to migration are based on sound facts and accurate analysis. By making the evidence about migration issues accessible and easy to understand, the Portal aims to contribute to a more informed public debate. The Portal was launched in December 2017 and is managed and developed by IOM’s Global Migration Data Analysis Centre (GMDAC), with the guidance of its Advisory Board, and was supported in its conception by the Economist Intelligence Unit (EIU). The Portal is supported financially by the Governments of Germany, the United States of America and the UK Department for International Development (DFID).
The National Sleep Research Resource (NSRR) is an NHLBI-supported repository for sharing large amounts of sleep data (polysomnography, actigraphy and questionnaire-based) from multiple cohorts, clinical trials, and other data sources. Launched in April 2014, the mission of the NSRR is to advance sleep and circadian science by supporting secondary data analysis, algorithmic development, and signal processing through the sharing of high-quality data sets.
Country
The City of Victoria’s Open Data Portal allows you to explore and download open data, discover and analyze datasets using maps, and develop new web and mobile applications.
The African Development Bank Group (AfDB) is committed to supporting statistical development in Africa as a sound basis for designing and managing effective development policies for reducing poverty on the continent. Reliable and timely data is critical to setting goals and targets as well as evaluating project impact. Reliable data constitutes the single most convincing way of getting the people involved in what their leaders and institutions are doing. It also helps them to get involved in the development process, thus giving them a sense of ownership of the entire development process. The AfDB has a large team of researchers who focus on the production of statistical data on economic and social situations. The data produced by the institution’s statistics department constitutes the background information in the Bank’s flagship development publications. Besides its own publication, the AfDB also finances studies in collaboration with its partners. The Statistics Department aims to stand as the primary source of relevant, reliable and timely data on African development processes, starting with the data generated from its current management of the Africa component of the International Comparison Program (ICP-Africa). The Department discharges its responsibilities through two divisions: The Economic and Social Statistics Division (ESTA1); The Statistical Capacity Building Division (ESTA2)
A consolidated feed from 35 million instruments provides sophisticated normalized data, streamlining analysis and decisions from front office to operations. And with flexible delivery options including cloud and API, timely accurate data enables the enterprise to capture opportunities, evaluate risk and ensure compliance in fast-moving markets.
Country
This purpose of this repository is to share Ontario's government data sets online to increase transparency and accountability. We're adding to the hundreds of records we’ve released so far to create an inventory of known government data. Data will either be open, restricted, under review or in the process of being made open, depending on the sensitivity of the information.
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.
AidData contains information about international economic development assistance, dating back to 1947. AidData provides a searchable database of nearly one million past and present aid activities around the world, aid information management services and tools, data visualization technologies, and research designed to increase understanding of development finance. AidData is searchable by topic such as disaster prevention, energy supply, water supply or reconstruction relief. You may also search by specific regions including Africa, Europe, America, Asia, or Oceania.