Data
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data.gov.au
Data.gov.au provides an easy way to find, access and reuse public datasets from the Australian Government and state and territory governments. Easy access to other government data catalogues offering open data is provided through our Catalogues page. We encourage all users to improve government information by using it to develop tools and applications which benefit all Australians. Submitting links to these new applications will enable their promotion through data.gov.au in future enhancements to the site. Functionality and available data will continue to improve with user feedback. Please contact us to suggest new datasets or catalogue links and provide general feedback about this website.Our library holds comprehensive information and documentation on administrative datasets in the UK, including how to make applications for the data and their conditions of use. The library provides a range of options to help you search for and find the information you need. » Go The ADLS assists researchers to use administrative data for research.
ADLS - Administrative Data Liaison Service
FBI Resources
That includes crime statistics, criminal background checks, laboratory services, training, victim assistance, and more. You can find links to many of these services here. If you can’t find what you’re looking for, try our A-Z index or search engine above. You can also contact us .
Teachers use examples to illustrate statistics concepts. A good example can make a lesson on a particular statistics method vivid and relevant. DASL is designed to help teachers locate and identify datafiles for teaching.
The Data and Story Library
StatCrunch - Data analysis on the Web
What's new in this version? If you have used StatCrunch in the past, the first thing you'll notice is the site makeover, but the new StatCrunch is more than just a pretty face. Here are a few of the highlights: Have a look around because there is a lot more to see!Warning Here are the notes I took while discovering and using the statistical environment R. However, I do not claim any competence in the domains I tackle: I hope you will find those notes useful, but keep you eyes open -- errors and bad advice are still lurking in those pages...
Statistics with R
2011 Report to Congress on White House Staff Government whitehouse, salary, government, congress, ... Since 1995, the White House has been required to deliver a report to Congress listing the title and salary of every White House Office employee. Consistent with President Obama's commitment to transparency, this report is being publicly disclosed on our website as it is transmitted to Congress. In addition, this report also contains the title and salary details of administration officials who work at the Office of Policy Development, including the Domestic Policy Council and the National Economic Council -- along with White House Office employees.
Socrata | Making Data Social
Stanford Network Analysis Project. S tanford N etwork A nalysis P latform ( SNAP ) is a general purpose network analysis and graph mining library. It is written in C++ and easily scales to massive networks with hundreds of millions of nodes, and billions of edges.
SNAP: Stanford Network Analysis Project
Overview APML allows users to share their own personal Attention Profile in much the same way that OPML allows the exchange of reading lists between News Readers. The idea is to compress all forms of Attention Data into a portable file format containing a description of ranked user interests. More » APML Workgroup
APML - Attention Profiling Mark-up Language: The open standard for Attention Metadata
The new DBpedia data set describes more than 3.64 million things, of which 1.83 million are classified in a consistent ontology, including 416,000 persons, 526,000 places, 106,000 music albums, 60,000 films, 17,500 video games, 169,000 organizations, 183,000 species and 5,400 diseases. The DBpedia data set features labels and abstracts for 3.64 million things in up to 97 different languages; 2,724,000 links to images and 6,300,000 links to external web pages; 6,200,000 external links into other RDF datasets, and 740,000 Wikipedia categories. The dataset consists of 1 billion pieces of information (RDF triples) out of which 385 million were extracted from the English edition of Wikipedia and roughly 665 million were extracted from other language editions and links to external datasets. Localized Editions
DBpedia
StarCraft Data Mining | Expressive Intelligence Studio
The StarCraft Data Mining project is part of an effort to automatically aquire knowledge about expert RTS gameplay by mining thousands of professional StarCraft replays. By mining replays, it is possible to predict an opponent's strategy and also predict when the player will execute the strategy. The results of this project are presented in the publications section. We are providing the ARFF files generated by this project to encourage other researchers to perform player modeling.Data | The World Bank
Please report any inconsistencies, apparent data errors, or other comments on this page using the link below. Provide a brief description and include the countries, years and indicators affected if appropriate.Data Visualization