About cai-2

Summary of the data

The data contain simultaneous loose-seal, cell-attached recordings and functional imaging using red genetically-encoded calcium indicators, jRGECO1a (11 cells) and jRCaMP1a (10 cells). We recorded cells in L2/3 of the primary visual cortex in anesthetized mice watching drifting grating movie. A small field of view was imaged to acquire the highest possible SNR. We include for each cell the raw fluorescence signal from the cell soma, neuropil signal from the cell’s surroundings, raw electrophysiological recording data, high-pass filtered electrophysiological recording data and spikes. The contrast of the visual stimulus and the drifting grating orientation were modified during each recording to produce variety of spike rates, and is not included in the data set. Results and full description of the experiments have been published in:

“Sensitive red protein calcium indicators for imaging neural activity”, Dana et al., eLife 2016; 10.7554/eLife.12727

How to download the data

Data may be downloaded from:
https://portal.nersc.gov/project/crcns/download/cai-2
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, please post them on the forum for using data sets.

How to cite the data

See the conditions for use section in the data description document for complete instructions. In addition to citing the paper listed above, publications created through usage of the data should cite the data set in the following recommended format:

Boaz Mohar, Hod Dana, Douglas S. Kim, and Karel Svoboda, GENIE project, Janelia Research Campus, HHMI (2016). jRGECO1a and jRCaMP1a characterization in the intact mouse visual cortex, using AAV-based gene transfer, 2-photon imaging and loose-seal cell attached recordings, as described in Dana et al 2016. CRCNS.org.
http://dx.doi.org/10.6080/K0W37T87

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 (http://ezid.cdlib.org/).

Documentation file