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About hdr-1

Information about hdr-1 (high-density recording 1).

Summary.

Does the optimal size and density of electrodes depend on the brain region recorded? To help address this question, we collected a survey of recordings with an ultra-high density array of 255 extracellular electrodes (5 x 5 μm and spacing of 1 μm) during urethane anesthesia from many different rat brain areas (cortex, hippocampus, thalamus, cerebellum and striatum). 

Detailed information about the dataset is described in:

Dimitriadis*, G., Neto*, J. P., Aarts, A., Alexandru, A., Ballini, M., Battaglia, F., … Kampff, A. R. (2018). Why not record from every channel with a CMOS scanning probe? bioRxiv, 275818. https://doi.org/10.1101/275818

Moreover, we have a repository containing the code used in the above publication:

https://github.com/georgedimitriadis/themeaningofbrain/tree/master/ExperimentSpecificCode/_2018_Neuroseeker_paper_JN

Format of the data.

The data is stored in binary format.  Details of the formats are in the given in the data description document, linked to at the bottom of this page. Total size of the data is about 190 GB

How to download the data.

The data must be downloaded from:

https://portal.nersc.gov/project/crcns/download/hdr-1

A CRCNS.org account is required.  This link allows bulk downloading of multiple files using the download script as described in the "Alternative download method" section on the download page.

Getting help using the data.

You can get help with the data set by posting any questions on the forum for using data sets, or through direct email contact to [email protected] or [email protected].

How to cite the data

If you publish any work using the data, please cite the publications above (Dimitriadis et. al, 2018), as well as the dataset itself:

Joana P Neto, George Dimitriadis, Gonçalo Lopes, Joana Nogueira, Adam R Kampff (2018); Extracellular recordings using an ultra-high density array from many brain areas of anesthetized rat. CRCNS.org
http://dx.doi.org/10.6080/K02V2D9Z

The above citation uses a Digital Object Identifier (DOI) which is assigned to the data set.  The DOI was created using DataCite (www.datacite.org) and the California Digital Library, "EZID" system (n2t.net/ezid/).

Documentation files

crcns_hdr-1_data_description.pdf

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