CONP Portal | Dataset


Intracellular Recordings of Murine Neocortical Neurons
Creators: Matthew Tran
Licenses: None
Version: 2020-04-18T19:34:10.458118
Formats:
Size: 9.1 MB
No of Files: 479
Project Landing Page: https://osf.io/vmg62/
Metadata file: DATS.json
Description:
This dataset contains intracellular electrophysiological current clamp recordings from murine neocortical neurons.

Dataset README information

README.md

Intracellular Recordings of Murine Neocortical Neurons

Crawled from OSF

Description

This dataset contains intracellular electrophysiological current clamp recordings from murine neocortical neurons.

Download Using DataLad

CircleCI status

The following instructions require a basic understanding of UNIX/LINUX command lines. A subset of open datasets on the Portal are also available through a browser-based download button. The instructions below regard dataset download with the use of DataLad. To install DataLad on your system, please refer to the install section of the DataLad Handbook .

Note: For maximum compatibility with conp-dataset, the CONP recommends versions 3.12+ of Python, 10.20241202+ of git-annex, and 1.1.4+ of datalad.

1) Initiate the CONP dataset

Run the following command in the directory where you want the CONP dataset (conp-dataset) to be installed:

2) Install the Intracellular_Recordings_of_Murine_Neocortical_Neurons dataset

To install the Intracellular_Recordings_of_Murine_Neocortical_Neurons dataset, run the following commands to move into the "projects" subdirectory under the "conp-dataset" directory (created in the previous step) and run datalad install:

3) Download data from the Intracellular_Recordings_of_Murine_Neocortical_Neurons dataset

Now that the dataset has been installed, go into the Intracellular_Recordings_of_Murine_Neocortical_Neurons dataset directory.

The files visible after installing the dataset but before downloading (in the next step) are symbolic links and need to be downloaded manually using the datalad get command:

If you run datalad get * command, all the files available in the dataset directory will be downloaded.


For more information on how DataLad works, please visit the DataLad Handbook documentation.