Published 2026
| Version v3
Dataset
Open
Dataset for: Cerebellar neural populations orchestrate dopamine reward signaling with single-trial precision
Authors/Creators
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Lu, Liang-Yin
(Data collector)1, 2, 3
-
Chen, Peng
(Data collector)3, 4
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Liang, Ting-Yu
(Data collector)3, 4
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Chen, Liang-Ying
(Data collector)3, 4
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Liu, Wen-Chuan
(Data curator)3, 4, 5
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Chen, Wei-Xiang
(Data collector)3, 4
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Lee, Jye-Chang
(Researcher)3, 5
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Lai, Wen-Sung
(Researcher)1, 6
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Pan, Ming-Kai
(Supervisor)1, 2, 3, 4, 5, 7, 8
- 1. Taiwan International Graduate Program in Interdisciplinary Neuroscience, National Taiwan University and Academia Sinica; Taipei, Taiwan
- 2. Institute of Biomedical Sciences, Academia Sinica; Taipei, Taiwan
- 3. Molecular Imaging Center, National Taiwan University; Taipei, Taiwan
- 4. Department and Graduate Institute of Pharmacology, National Taiwan University College of Medicine; Taipei, Taiwan
- 5. Department of Medical Research, National Taiwan University Hospital; Taipei, Taiwan
- 6. Department of Psychology, National Taiwan University; Taipei, Taiwan
- 7. Cerebellar Research Center, National Taiwan University Hospital, Yun-Lin Branch; Yun-Lin, Taiwan
- 8. Research Center for Developmental Biology and Regenerative Medicine, National Taiwan University; Taipei, Taiwan
Description
Raw datasets in Cerebellar neural populations orchestrate dopamine reward signaling
with single-trial precision
For analysis scripts, please refer to https://doi.org/10.5281/zenodo.19331923
Files
f2_Single unit_reward detection.zip
Files
(28.9 GB)
| Name | Size | |
|---|---|---|
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md5:b9898f60dc260a230ac35ac20c24b00f
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460.0 MB | Preview Download |
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md5:f52e37b697b0dfa45d7f00f7fa62ef3d
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141.7 MB | Preview Download |
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md5:72d7e50edc934aee9b0280a1b980f24a
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12.2 GB | Preview Download |
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md5:8f2de82a836943b9039f259c31dcca5d
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8.6 GB | Preview Download |
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md5:5978c14facd2c4fbb978f1fd899b805c
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383.3 kB | Preview Download |
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md5:537053ed47488f6c188a6bff4122a1b4
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3.5 GB | Preview Download |
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md5:ec6daaf5be658d4093ec27780f58a2e8
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4.0 GB | Preview Download |
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md5:bb19ab24657c0e675824b9dc11fbeafb
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2.4 MB | Preview Download |
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md5:a4e50bd5bc13c07fc7ec02cf98c3dc19
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19.1 MB | Preview Download |
Additional details
Software
- Repository URL
- https://doi.org/10.5281/zenodo.14915448