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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Dataset for the Kim et al., Nature, 2022

Authors: Kim, Jaekyung;

Dataset for the Kim et al., Nature, 2022

Abstract

These are the produced data used in the publication of Kim et al., Nature, 2022 (https://doi.org/10.1038/s41586-022-05533-z). These were analyzed on Matlab 2021a and, thus, provided with the mat file format. For further questions, please contact the lead contact of the publications or the first author Jaekyung Kim (jaekyung.kim@ucsf.edu). -------------------- Description about dataset The number of animals = 6 rats (Animal 1 - Animal 6). Single mat file is for a single-day data including three sequential recording blocks: [pre-training sleep] - [reach task] - [post-training sleep] In each mat file, you will see below data: Fs_LFP: sampling rate of LPFs. Index 1 and 2 represents pre- and post-training sleep, respectively. Sleep_LFP_delta_M1: delta-band (0.1-4 Hz) LFP in M1 during NREM sleep. Index 1 and 2 represents pre- and post-training sleep, respectively. Sleep_LFP_delta_PFC: delta-band (0.1-4 Hz) LFP in PFC during NREM sleep. Index 1 and 2 represents pre- and post-training sleep, respectively. Sleep_LFP_150to250_HPC: LFP filtered in 150-250 Hz in hippocampus CA1 during NREM sleep. Index 1 and 2 represents pre- and post-training sleep, respectively. Sleep_spike_time_M1: Spike timing (in sec) in a single unit in M1 during NREM sleep. Cell index 1 and 2 represents pre- and post-training sleep, respectively. In each cell, there are N sub-cells representing N single units. Sleep_spike_time_PFC: Spike timing (in sec) in a single unit in PFC during NREM sleep. Cell index 1 and 2 represents pre- and post-training sleep, respectively. In each cell, there are N sub-cells representing N single units. Reach_spike: The distribution of spikes from reach onset. It is structure array in MATLAB. Each structure are N-by-4 (N trials and 4 fields). The field of 'spike_rate' contains the number of spike in each bin (bin size = 1 ms) from reach onset timing (the bin index indicating reach onset is informed in the other field of 'reach_onset_index'). The field of 'condition' shows the condition of success or fail in the reach-to-grasp task. The field of 'bin_size' shows the bin size of the data in 'spike_rate.' It is 1 ms in this dataset. The field of 'reach_onset_index' shows the bin index indicating reach onset. It is 201 in this dataset. e.g., If spike_rate is 31-by-600 array, there are 31 units and 600 bins containing the number of spike in each bin. If the bin (row 3, column 301) has number 2, it means there were two spikes during 1-ms window at 100 ms after reach onset. If the bin (row 7, column 1) has number 1, it means there were one spike during 1-ms window at -200 ms before reach onset. -------------------- Notes Sleep data are provided only for the NREM sleep period used in the published study. The other epochs during sleep-recording are set to zero. Non-Rapid Eye Movement sleep (NREM sleep) Local Field Potential (LFP)

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Keywords

Sleep oscillation, Motor learning

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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