Public Data Sets

Public Data Sets

This page is intended to help concentrate the various efforts in different groups to find and transform various data sets. The goal being to make it easier to find and consume open data sets, ideally in the COVESA data models in the case of the vehicle domain, or in associated industries.

Name + Location

Public?
(Yes/No)

License

COVESA model?
(Yes/No)

Data model semantic language
(e.g. VSS/VDM/S2DM)

Notes
(e.g format, data elements etc)

Name + Location

Public?
(Yes/No)

License

COVESA model?
(Yes/No)

Data model semantic language
(e.g. VSS/VDM/S2DM)

Notes
(e.g format, data elements etc)

Zenseact Open Dataset

No

CC BY-SA 4.0

Yes

 

Download


Access: contact project to obtain data set. Proprietary but open for both commercial and non-commercial use

Transformation to VSS via open tool.

CDSP vehicle speed downsample example data set

Yes

 

Yes

VSS

Domain: Vehicle speed

Format: CSV (Apache IoTDB)

Attributes: Just over 13500 values recorded over approximately 5 minutes at 20ms intervals.

Data elements: Timestamp, VSS Vehicle.Speed

License: Open

Details: Example readme.md

Origin: The pre-recorded data comes from a real car journey Night drive to Luftkastellet captured by RemotiveLabs as an example for their cloud platform. RemotiveLabs kindly gave permission for the speed data to be used for this Playground example.

Table Key (columns such as the semantic langugage are intended to be sorted so please add details to the notes):

  • Name + Location: Provide the name of the data set and where it is located

  • Public? Is the data set public? Provide Yes/No answer. Add any explanatory detail in the notes.

  • License: What is the license?

  • COVESA model?: Does the data set use a COVESA data model? Provide Yes/No answer. Add any explanatory detail in the notes.

  • Data model semantic language: The semantic language that describes the data, e.g. VSS, VDM or S2DM.

  • Notes: Add any explanatory notes that would help the potential consumer determine if its useful here.

 

List of data sets or sources that are candidates for transformation:

  1. PIVOT Project has a large collection of open and closed data sets