DataHub

DataHub

Developer(s)	Christian Kothe; Chadwick Boulay.
Development status	-in development-
Written in	C, C++, Python, Java, C#, MATLAB
Operating system	Windows, Linux, MacOS, Android, iOS
Type	Data collection
License	Open source
Website	LSL webpage
Manuals Official Documentation

The DataHub Makes use of the lab streaming layer. The lab streaming layer (LSL) is a system for the unified collection of measurement time series in research experiments that handles both the networking, time-synchronization, (near-) real-time access as well as optionally the centralized collection, viewing and disk recording of the data.

Installation

Our support for LSL is mainly done in python. Download python here: Please choose a 64 bit version.. Run the installer and make sure to add Python to the file path (it's an option in the installer). Open a command prompt, start with upgrading the pip installer by typing:
c:>python -m pip install --upgrade pip
Then:
c:>pip install pylsl

more info: cross platform pylsl

Versions

The TSG uses the version 1.15.0. Open a command and type the following to find the version used:

c:>python
>>> import pylsl
>>> print(pylsl.__version__)

Python

 1#!/usr/bin/env python
 2
 3# import the rusocsci.buttonbox module
 4from rusocsci import buttonbox 
 5
 6# make a buttonbox
 7bb = buttonbox.Buttonbox()
 8
 9# wait for a single button press
10bb.sendMarker(100)    #This is your marker code, range code 1-255
11core.wait(0.002)      #2ms delay for the code to be recorded by brainvision; 2ms->500hz sampling rate
12bb.sendMarker(0)      #Back to 0; now ready to send a new code

External Links

• Official Website
• Official Documentation