Azcorra2023 - Fiber photometry recordings (pre-processed to get DF/F)

Pre-processed raw data from fiber photometry recordings of different subtypes (Vglut2+, Calb1+, Anxa1+ and Aldh1a1+ as well as DAT+) SNc dopamine neurons labelled with GCaMP6f, as used in Azcorra et al. Nat Neuro 2023. This dataset has been pre-processed to calculate DF/F from the raw data (see below for code and raw data), which are then normalized from 0 to 1 (un-normalized DF/F data can be recovered using the 'norm' value included in the dataset). This dataset also includes metadata for each recording (recording location, mouse sex...). 

The code used to generate this pre-processed data from raw data is available on GitHub (https://github.com/DombeckLab/Azcorra2023/releases/tag/Azcorra2023) and Zenodo (DOI: 10.5281/zenodo.7872052, https://zenodo.org/record/7872052). The original raw data has been deposited on Zenodo (DOI: 10.5281/zenodo.7871634, https://zenodo.org/record/7871634). The code necessary to analyze this data and generate the figures shown in the manuscript is is found in that same GitHub repository as the pre-processing code above.