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Found 14 result(s)

WorldData.AI

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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 des SOEP

FDZ SOEP

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The German Socio-Economic Panel Study (SOEP) is a wide-ranging representative longitudinal study of private households, located at the German Institute for Economic Research, DIW Berlin. Every year, there were nearly 11,000 households, and more than 20,000 persons sampled by the fieldwork organization TNS Infratest Sozialforschung. The data provide information on all household members, consisting of Germans living in the Old and New German States, Foreigners, and recent Immigrants to Germany. The Panel was started in 1984. Some of the many topics include household composition, occupational biographies, employment, earnings, health and satisfaction indicators.

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.

melbourne.figshare.com

University of Melbourne data repository

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melbourne.figshare.com is a specialised service that has been tailored according to specific needs and requirements of the University and our community of researchers. The service offered at the University is free to use, provides 100GB of data, and stores all data on the University's storage system.

Database on Indian Economy

DBIE

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DBIE is a data warehouse of the Department of Statistics and Information Management (DSIM), under the Reserve Bank of India. It disseminates data on various aspects of the Indian Economy through several of its publications, by means of it’s three parts – namely has mainly three parts Home, Statistics and Time-series Publications. Again, Home is divided into two parts viz. Important Economic Indicators &amp; Economy at a Glance through dashboards. The entire statistics have been presented in seven subject areas - Real Sector, Corporate Sector, Financial Sector, Financial Market, External Sector, Public Finance, Socio-Economic Indicators. Sectors have different sub-sectors and reports under the sub-sectors have been organized on periodicity wise. Downloading of data can be possible into Excel, CSV, PDF formats. User can use the data for their research work with courtesy to the Database on Indian Economy, Reserve Bank of India.

The Health Improvement Network

THIN

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THIN is a medical data collection scheme that collects anonymised patient data from its members through the healthcare software Vision. The UK Primary Care database contains longitudinal patient records for approximately 6% of the UK Population. The anonymised data collection, which goes back to 1994, is nationally representative of the UK population.

Research Centre of the Bundesbank

Forschungszentrum der Deutschen Bundesbank

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<<<!!!<<< The pages were merged. Please use "Forschungsdaten- und Servicezentrum der Bundesbank" https://www.re3data.org/repository/r3d100012252 >>>!!!<<<

Integrated Public Use Microdata Series - International

IPUMS-I

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IPUMS is the world&apos;s largest accessible collection of individual-level data on population, and is a collaboration of over 100 national statistical agencies.

NER Databank

North East Databank

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A databank on the economy, agriculture, tourism, infrastructure, industry, and natural resources of the North Eastern Region of India; comprises seven states namely Arunachal Pradesh, Assam, Manipur, Meghalaya, Mizoram, Nagaland, Sikkim, Tripura (popularly known as Seven Sisters of India). The region (holds 7.9% of the total land space of the country) is of strategic importance for the country on account of the fact that nearly 90% of its borders form India's international boundaries. Thus information about population distribution, migration of peoples, vast natural resources, literacy rate, infrastructure development, cultural diversity, economy, etc. of this region are quite different from rest of the country.NER databank intends to provide information on multifarious activities of North Eastern states of India, thereby make it accessible to social commons. The North East Databank is a web portal created to provide a regional resource database for the North Eastern Region (NER).

Bloomberg

Bloomberg Market Data

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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.

Federal Reserve Economic Data

FRED

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FRED is an online database consisting of hundreds of thousands of economic data time series from scores of national, international, public, and private sources. FRED, created and maintained by the Research Department at the Federal Reserve Bank of St. Louis, goes far beyond simply providing data: It combines data with a powerful mix of tools that help the user understand, interact with, display, and disseminate the data. In essence, FRED helps users tell their data stories.

Cross-National Time-Series Data Archive

CNTS Data Archive

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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.

Panel on household finances

Studie zur wirtschaftlichen Lage privater Haushalte

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<<<!!!<<< The pages were merged. Please use "Forschungsdaten- und Servicezentrum der Bundesbank" https://www.re3data.org/repository/r3d100012252 >>>!!!<<<

Archiving BASIS

formerly: GESIS SowiDataNet|datorium

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<<<!!!<<< Archiving BASIS is part of the GESIS Data Services. This record is no longer updated. Please use https://www.re3data.org/repository/r3d100012496 >>>!!!>>>