Datasets:
Download README.md from Emulated-Inc/ca1-position-decoding: direct link, hf CLI and curl.
- Browser
- Download file 2.47 kB
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https://huggingface.co/datasets/Emulated-Inc/ca1-position-decoding/resolve/main/README.md
- Command line
-
hf download hf://datasets/Emulated-Inc/ca1-position-decoding/README.md
-
curl -L -o README.md https://huggingface.co/datasets/Emulated-Inc/ca1-position-decoding/resolve/main/README.md
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.