Guest blog post by Vincent Granville

This is an interesting resource for data scientists, especially for  those contemplating a career move to IoT (Internet of things). Many of these modern, sensor-based data sets collected via Internet protocols and various apps and devices, are related to energy, urban planning, healthcare, engineering, weather, and transportation sectors. 

Sensor data sets repositories

• Linked Sensor Data (Kno.e.sis) - Datasets for sensors and sensor observations, created at Kno.e.sis Center, and converted from weather data at Mesowest. Contains descriptions of 20 thousand weather stations and 160 million observations.
• Gas Sensor Array Drift Dataset Data Set
• Trajectory data collected from mobile GPS (Microsoft)
• Trajectory data collected from many taxis (Microsoft)
• Sensor data sets on Quora 
• From MIT 
• UCI Machine Learning Repository
• University of Edimburgh
• Smartsantander.eu (check out this link too)
• Japan Traffic Flow: cargo/passengers Flow
• Arab Academy for Science, Technology & Maritime Transport

For more on IoT and sensor data, visit IoTCentral.io, or read  The 10 Best Books to Read Now on IoT. For other free data sets repositories, click here or visit the links mentioned below

• Big data sets available for free - Data Science Central
• 20 Big Data Repositories You Should Check Out - Data Science ...
• Great Github list of public data sets - Data Science Central
• The Free 'Big Data' Sources Everyone Should Know - Data Science ...
• 100+ Interesting Data Sets for Data Science - Data Science Central
• Data sets and other machine learning resources from UC Irvine ...
• Another large data set - 250 million data points - available for ...
• Big data set - 3.5 billion web pages - made available for all of us ...

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Additional Reading

• 50 Articles about Hadoop and Related Topics
• 10 Modern Statistical Concepts Discovered by Data Scientists
• Top data science keywords on DSC
• 4 easy steps to becoming a data scientist
• 13 New Trends in Big Data and Data Science
• 22 tips for better data science
• Data Science Compared to 16 Analytic Disciplines
• How to detect spurious correlations, and how to find the real ones
• 17 short tutorials all data scientists should read (and practice)
• 10 types of data scientists
• 66 job interview questions for data scientists
• High versus low-level data science

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