About am-1

Information about the data.

Summary.

This data set contains recordings from the cortical song nucleus HVC of anesthetized male zebra finches using a 4 tetrode array. Data were collected as described in:

Identification of single neurons in a forebrain network. J Neurophysiol. 2011 Dec;106(6):3205-15. doi: 10.1152/jn.00468.2011. Nancy F. Day, Stephen J. Kerrigan, Naoya Aoki, and Teresa A. Nick

Format of the data.

Data from 42 sessions are provided. The data for each session is stored in a separate zip file available for downloading. Data for each session consist of primary data and data derived from clustering. Scripts are provided to allow loading all data into MatLab. Details about the data are provided in file crcns-am1-data-description.pdf. Total size of all compressed data is about 61 Gigabytes. The uncompressed data is about 5x larger.

Conditions for using the data.

Feel free to use these data for any educational, training, and application optimization purposes. If you would like to publish analyses of these data, please contact Teresa Nick using the contact provided in the data description document.

How to download the data

Data may be downloaded from:
https://portal.nersc.gov/project/crcns/download/am-1
A CRCNS.org account is required. See the download link for more instructions.

Getting help using the data.

If you have questions about using the data, post them on the forum for using data sets. Also see instruction for consulting the experiments in the README file.

How to cite the data

Publications created through usage of the data should cite the publication given above and also cite the data set in the following recommended format:

Nancy F. Day and Teresa A. Nick (2014): Development of a birdsong motor circuit with antidromically-identified neurons: Spontaneous spiking data from anesthetized juvenile and adult zebra finch HVC. CRCNS.org.
http://dx.doi.org/10.6080/K0SF2T3M

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/).