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Binary parsing with PHP
- saved on: 2012-09-29
- uri: https://igor.io/2012/09/24/binary-parsing.html
- about: A in-depth look at binary parsing of data in PHP
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iPhone Tracker
- saved on: 2011-04-21
- uri: http://petewarden.github.com/iPhoneTracker/
- about: This open-source application maps the information that your iPhone is recording about your movements. It doesn't record anything itself, it only displays files that are already hidden on your computer.
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Online Data Backup & Storage – CrashPlan – Free Backup Software, Disaster Recovery
- saved on: 2011-02-10
- uri: http://www.crashplan.com/
- about: An online data backup service with restricted costs
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DataSF - Liberating City Data
- saved on: 2011-02-09
- uri: http://www.datasf.org/
- about: The City of San Francisco too, decided to publish several Datasets. DataSF is a central clearinghouse for datasets published by the City & County of San Francisco. The site allows to find datasets in several ways: general search, tags/keywords, categories, and rating. The goal is to improve access to city data through open machine-readable formats. Anyway, there does not seem to be any SPARQL endpoint or any other semantic expression of the exposed datasets... Maybe in a future iteration?
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How to publish Linked Data on the Web
- saved on: 2010-10-28
- uri: http://www4.wiwiss.fu-berlin.de/bizer/pub/LinkedDataTutorial/#lith
- about: A step-by-step guide which covers all the required steps before publishing data on the Web in a semantic way
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Grafico javascript charting library
- saved on: 2010-03-11
- uri: http://grafico.kilianvalkhof.com/
- about: Grafico is a javascript charting library based on Raphaël and Prototype.js.
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Data Visualization: Modern Approaches | Graphics | Smashing Magazine
- saved on: 2009-01-18
- uri: http://www.smashingmagazine.com/2007/08/02/data-visualization-modern-approaches/
- about: Smashing magazine describes several approaches to data visualization. Neat and powerful ideas are presented in the article.
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(theinfo)
- saved on: 2008-01-16
- uri: http://theinfo.org/
- about: This is a site for large data sets and the people who love them: the scrapers and crawlers who collect them, the academics and geeks who process them, the designers and artists who visualize them. It's a place where they can exchange tips and tricks, develop and share tools together, and begin to integrate their particular projects.
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