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Found 6 result(s)

Cross-National Time-Series Data Archive

CNTS Data Archive

Subject(s)
Content type(s)
Country
The Cross-National Time-Series Data Archive (CNTS) was initiated by Arthur S. Banks in 1968 with the aim of assembling, in machine readable, longitudinal format, certain of the aggregate data resources of The Statesman’s Yearbook. The CNTS offers a listing of international and national country-data facts. The dataset contains statistical information on a range of countries, with data entries ranging from 1815 to the present.

Facebook Data for Good

Subject(s)
Content type(s)
Country
To help flattening the COVID-19 curve public health systems need better information on whether preventive measures are working and how the virus may spread. Facebook Data for Good offer maps on population movement that researchers and nonprofits are already using to understand the coronavirus crisis, using aggregated data to protect people’s privacy.

WorldData.AI

Subject(s)
Content type(s)
Country
WorldData.AI comes with a built-in workspace – the next-generation hyper-computing platform powered by a library of 3.3 billion curated external trends. WorldData.AI allows you to save your models in its “My Models Trained” section. You can make your models public and share them on social media with interesting images, model features, summary statistics, and feature comparisons. Empower others to leverage your models. For example, if you have discovered a previously unknown impact of interest rates on new-housing demand, you may want to share it through “My Models Trained.” Upload your data and combine it with external trends to build, train, and deploy predictive models with one click! WorldData.AI inspects your raw data, applies feature processors, chooses the best set of algorithms, trains and tunes multiple models, and then ranks model performance.

Forschungsdatenzentrum Wissenschaftsstatistik

RDC Wissenschaftsstatistik

Subject(s)
Content type(s)
Country
The Research Data Center Wissenschaftsstatistik provides the scientific community with data on economics and innovation in Germany. Data on research and development (R&D) in Germany (collected on behalf of the Federal Ministry of Education and Research) and on the development and startup culture of universities are made available via scientific use files and campus use files. Most studies and data are in German.

Statistics New Zealand

Stats NZ

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Content type(s)
Country
Stats NZ (Statistics New Zealand) collects data about New Zealand’s environment, economy and society. The information helps government, local councils, Māori, businesses, communities, researchers and the public to measure, and make decisions about such things as: where we need roads, schools and hospitals, environmental progress, our quality of life, how families are doing, where to locate a business, and what products to sell. The Statistics New Zealand Data Archive is a central repository for all the important statistical datasets and associated documentation, metadata and publications that Statistics New Zealand produces. It also acts as a safe repository for datasets produced by other government agencies and government funded statistical studies. The key difference between the Statistics New Zealand Data Archive and other digital archives is that it contains primarily statistical data at unit record level. The unit record data is archived when it is no longer in regular use by its producer.

Forschungsdatenzentren der Statistischen Ämter des Bundes und der Länder

Research Data Centres of the Federal Statistical Offices and of the Statistical Offices of the Federal States

Subject(s)
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The basic goal of the research data centres of the statistical offices of the Federation and the Länder is to improve the accessibility and usability of microdata of official statistics by setting up various ways of using the data. Research data centres of the Federal Statistical Office (FDZ-Bund) and the statistical offices of the Länder (FDZ-Länder) provide collectively access to selected microdata of official statistics to researchers for scientific purposes.