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Raw interleaved frames per segment (frames.tif, tracking.csv) and the dataset card with the provenance
1ae8f1a verified
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---
license: cc-by-4.0
pretty_name: ca1-position-decoding task data
tags:
- neuroscience
- calcium-imaging
- two-photon
- hippocampus
- place-cells
- terminal-bench-science
---
# ca1-position-decoding
Data for the terminal-bench-science task `ca1-position-decoding`: decode a mouse's position in an
open field from raw two-photon calcium imaging of hippocampal CA1. This card is the only place the
provenance is written down; the task deliberately gives the agent no acquisition metadata beyond
the frame rate, the pixel scales and the plane alternation stated in its instruction.
## Source
Zong, W., Obenhaus, H. A., Skytoen, E. R., et al. (2022). Large-scale two-photon calcium imaging in
freely moving mice. Cell 185(6), 1240-1256. Deposited in the NIRD Research Data Archive,
DOI 10.11582/2022.00008, licence CC BY 4.0. One session of one mouse imaged in CA1 with the MINI2P
miniature two-photon microscope while foraging in a square open field: mouse 97289, session
2021-03-22, the deposit's `ca1-97289` tarball, ScanImage TIFFs `97289-20210322_00001.tif` to
`_00003.tif` (8700 pages each) and their DeepLabCut tracking files.
## What was done
The three TIFFs were read in order (26,100 pages, int16, 256 x 256, the focus alternating between
two planes 50 micrometres apart on every page at 14.49 frames per second) and split in time only,
at page 13,050, into `input/` (the agent's training segment) and `verification/` (the held-out
segment the verifier grades on). Pages are written as acquired, interleaved and unregistered, to a
plain BigTIFF without the ScanImage headers. `tracking.csv` in each folder is the DeepLabCut output
for the same pages, one row per page, the file's three header rows kept, the index column restarted
at 0. Nothing else was changed. The task's `authoring/provenance/build_data.py` is the exact script.
| file | pages / rows | sha256 |
|---|---|---|
| `input/frames.tif` | 13050 | 43a65fc72f910fbe8d2e1bc498b6b464f7fa241afd26497460c46c92c0082662 |
| `input/tracking.csv` | 13050 | 8ca8f8753fc9687398e69cface8a8687813247b6f547304bbe0f34b9240bac27 |
| `verification/frames.tif` | 13050 | 687bf07ec619e3234d2450bdac21d420245fa9b429ccd747e358dd1cbec2b12a |
| `verification/tracking.csv` | 13050 | da9a5e8c5cf0a74d4b02c682b558b640ef0e91ba1f38b846c6a5372b3c12a122 |
The camera scale, 0.08 cm per pixel, is `TrackingResolution` in the deposit's
`ExperimentInformation.mat`; the imaging scale is 0.96 micrometres per pixel.