Published February 28, 2026 | Version v1
Publication Open

Data and Code for NCOMMS-25-57165A

  • 1. ROR icon Icahn School of Medicine at Mount Sinai
  • 2. ROR icon Rutgers, The State University of New Jersey

Description

this is the data and code depository for the paper "Generalization of fear learning is shaped by inhibitory sensory processing in mice", NCOMMS-25-57165.


miasma.zip ; contains custom-written imaging analysis software used in this article.
miasma_documentation.docx ; detailed description of files and analysis steps for miasma.
xls.zip ; contains the numerical data used in the findings. 
rstats.zip ; contains the stats codes written in rstudio.

description of files in xls:

- habituation.xls: dataset for habituation/dishabituation experiment.

- mobility.xls: dataset for mobility and mean calcium increase after drug application, in imaging experiments.
- all the animals are listed with their groups and mobility scores for each odor.
- sheet O includes OSN animals, sheet G for PG cells, sheet M for mitral. "PRD" isolates paired animals. ALL and ALL_SHORT has all the animals, latter in short format.

- openfield.xls: dataset for openfield experiments.
- detection: accuracy of ethovision, mobility: active time of the animals. center-zone2: percentage of time animals spent in each zone.
- dists: mean distance from each zone, all danger: areas adjacent to CS+., all safe: areas adjacent to no odor.
- sheet "testing_rep" includes interactable representative graphs for each point made in the paper along with additional ones.
- sheet "test_dist" isolated data of distances used to run stats.

- percentages.xls: dataset for calcium findings, change in df/f ater drug application.
- experimental specifics of all animals listed from B to E.
- odor: presented odor, roi: ROI number, max: change in df/f of peak fluorescence, maxtime: time of peak, time1-5: peak within time section, offvol/area: offset metrics.
- sheets are named according to cell type of animal. _rep includes interactable graphs for findings presented.

- peaks.xls: same as percentage, but divided by peaks rather than just percentages.
- block: 1, before application; 2, after application.

- spatial: dataset for spatial analysis.
- max_pre: peak before drug, max_post: peak after drug, perc: change in df/f 
- roi_x/y: centroid location of the ROI, ref_x/y: centroid location of the max responding CS+ glomerulus of specific animal.
- eucl: euclidian distance between the ROI and peak CS+ ROI, micron: pixel converted to microns based on lens used.
- overlap: 1 if this ROI is overlapping with any other, top50: 1 if this roi is a top 50 responding ROI.
- m400: 1 if ROI is within 400 microns of peak CS+ ROI.

description of files in rstats:

*all files include a comment for which excel file to run and what to change in order to get the specific subsection of the analysis.

- calcium_mobility_correlation: Fig 2K.
- compare_percentages: Fig 2 D-J.
- mobility_across_odors: Fig 1C.
- mobility_sex: Fig 1C, sex differences.
- no_ceiling: Fig S2.
- openf_distances: Fig 1D, Fig 4G-H.
- overlap_glom: Fig 3C-D.
- proximity_CS+: Fig 3E.
- habituation: Fig 5C-D.

Files

miasma.zip

Files (5.9 MB)

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md5:09c6654dd759fb9a316c95109425ad4c
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Additional details

Dates

Created
2026
Coda and Data

Software

Repository URL
https://github.com/mcgannlab/bakir_miasma
Programming language
MATLAB