.7Z
PPP1_tdtfiles.7z (18.55 GB)
.7Z
PPP3_tdtfiles.7z (13.93 GB)
.7Z
PPP4_tdtfiles.7z (10.53 GB)
DATASET
PPP1.xlsx (147.33 kB)
DATASET
PPP3.xlsx (118.03 kB)
DATASET
PPP4.xlsx (115.23 kB)
.PICKLE
ppp_pref.pickle (2.44 GB)
.PICKLE
ppp_dfs_pref.pickle (1.47 MB)
.PICKLE
ppp_dfs_startAUC.pickle (1.07 kB)
.PICKLE
ppp_dfs_cond1.pickle (2.82 kB)
.PICKLE
ppp_dfs_cond.pickle (2.86 kB)
.PICKLE
ppp_dfs_latencies.pickle (12.32 kB)
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Protein preference and photometry I
Version 2 2021-03-29, 13:27
Version 1 2019-02-08, 14:28
dataset
posted on 2021-03-29, 13:27 authored by James McCutcheonJames McCutcheonThese data files are from an experiment investigating protein preference behaviour and associated neural activity in ventral tegmental area.
Data files are acquired via Tucker Davis Tech. hardware and represent fluorescent signals recorded in a fibre photometry experiment with associated timestamps showing licking behaviour and sipper presentation. Full description of the methods is published on bioRxiv (https://www.biorxiv.org/content/10.1101/542340v3).
The raw data files from TDT which include all signals and videos are archived in three 7zip-compressed files - PPP1_tdtfiles.7z, PPP3_tdtfiles.7z, and PPP4_tdtfiles.7z - and require the accompanying .xlsx metafiles to know details of each file (e.g. rat ID, dietary condition etc).
Partially analysed files (.pickle) in which signals have been aligned to behavioural events of interest and all cohorts of rats are combined are also provided and can be imported into Python using the dill module.
Finally, the pandas dataframes used to make all figures and perform stats are also included as .pickle files, which is the smallest and easiest to download (e.g. ppp_dfs_pref.pickle). These dataframes are also available from the following link: http://www.mccutcheonlab.com/s/data.zip
All analysis scripts for this dataset can be found on Github (https://github.com/mccutcheonlab/PPP_analysis).
