# 1024-channel electrophysiological recordings during resting state in V1 and V4 of macaque visual cortex This respository contains the data associated to the publication "1024-channel electrophysiological recordings during resting state in V1 and V4 of macaque visual cortex" by Chen\*, Morales-Gregorio\* et al. Future updates of the dataset will be uploaded [here](https://gin.g-node.org/NIN/V1_V4_1024_electrode_resting_state_data). ## Summary Electrophysiological activity data was recorded from the visual cortex (V1, V4) of two rhesus macaques using 16 utah arrays, for a total of 1024 recording sites. The monkeys were instructed to perform several tasks: * Resting state (RS), * Receptive field mapping (RF) with sweeping bars, * Signal to noise ratio (SNR) estimation from visual stimulation with a checkerboard. All data was recorded at the Netherlands Institute of Neuroscience and processed jointly with the INM-6 at Juelich research center. The raw data constist on the continuous measure of extracellular potentials at a sampling frequency of 30 kHz The raw data was processed into two widely used analog signals, the local field potential (LFP) and the multiunit activity envelope (MUAe), with sampling rates of 500 Hz and 1 kHz respectively. Metadata about the recording system, animal behaviour during the recordings, data quality and receptive field locations was collected and compiled into a single `.odml` file per session, provided under the `\data` directory of this repository. The following sessions and datafiles are available:
Subject Task type Date of recording Links to ressources
L Receptive Fields (RF) 26-06-2017 Raw files | MUAe | LFP
28-06-2017 Raw files | MUAe | LFP
Stimulus response (SNR)
 25-07-2017 Raw files | MUAe | LFP
09-08-2017 Raw files | MUAe | LFP
10-08-2017 Raw files | MUAe | LFP
Resting State (RS) 25-07-2017 Raw files | Eye signals | MUAe | LFP
09-08-2017 Raw files | Eye signals | MUAe | LFP
10-08-2017 Raw files | Eye signals | MUAe | LFP
A Receptive Fields (RF) 28-08-2018 Raw files | MUAe | LFP
29-08-2018 Raw files | MUAe | LFP
Stimulus response (SNR)
 14-08-2019 Raw files | MUAe | LFP
15-08-2019 Raw files | MUAe | LFP
16-08-2019 Raw files | MUAe | LFP
Resting State (RS) 14-08-2019 Raw files | Eye signals | MUAe | LFP
15-08-2019 Raw files | Eye signals | MUAe | LFP
16-08-2019 Raw files | Eye signals | MUAe | LFP
*Note:* The links in the table above point to the latest version of the data repository and not to the published instance. ## Downloading the data ### Using gin Create an account on gin and download the gin client as described [here](https://gin.g-node.org/G-Node/Info/wiki/GIN+CLI+Setup). On your computer, log in using: ```sh gin login ``` Clone the repository using: ```sh gin get NIN/V1_V4_1024_electrode_resting_state_data ``` The cloning step can take a long time, due to the large amount of individual files. Please be patient. Large data files will not be downloaded automatically, they will appear as git-annex links instead. We recommend downloading only the files you need, since the entire dataset is large. To get the contents of a certain file: ```sh gin get-content ``` Downloaded large files will be locked (read-only). You must unlock the files using: ```sh gin unlock ``` To remove the contents of a large file again, use: ```sh gin lock gin remove-content ``` Detailed description of the gin client can be found at the [gin wiki](https://gin.g-node.org/G-Node/Info/wiki/). See the gin [usage tutorial](https://gin.g-node.org/G-Node/Info/wiki/GIN+CLI+Usage+Tutorial) for advanced features. ### Using the web browser Download the files you want by clicking download in the gin web interface. Convenience summary tables of the data and sessions can be found in the summary above. ## Citation policy Cite this work by citing the original publication. ## Contact information For any inquiries contact the corresponding author(s) of the original publication. ## License Creative Commons License
The data and metadata in this work are licensed under a Creative Commons Attribution 4.0 International License. Python and Matlab code in this repository are licensed under the BSD 3-clause license. The matlab-based NPMK package provided within this repository is re-distributed under the BSD 3-clause license, in compliance with the original licensing terms.