List of Brainsets

churchland_shenoy_neural_2012

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brainsets prepare churchland_shenoy_neural_2012

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Data Source
Publication(s)	10.1038/nature11129 Cite BibTeX @article{churchland2012neural, title={Neural population dynamics during reaching}, author={Churchland, Mark M and Cunningham, John P and Kaufman, Matthew T and Foster, Justin D and Nuyujukian, Paul and Ryu, Stephen I and Shenoy, Krishna V}, journal={Nature}, volume={487}, number={7405}, pages={51--56}, year={2012}, publisher={Nature Publishing Group UK London} } APA Style Churchland, M., Cunningham, J., Kaufman, M. et al. Neural population dynamics during reaching. Nature 487, 51–56 (2012). https://doi.org/10.1038/nature11129
Data Source	https://dandiarchive.org/dandiset/000070
License	Creative Commons Attribution 4.0 International
Subjects
Number of subjects	2
Species	Macaca mulatta
Number of recordings	10
Total recording time	28.9 hours
Distribution of recording lengths (in minutes)
Neural Data
Neural Modality	EPhys, spiking
Device	Utah Array
Total number of units	1911
Distribution of number of units per recording
Total number of spikes	739.0M
Brain regions	M1, PMd
Available fields	data.spikesdata.units
Behavioral Data
Description	The animal is performing reaching tasks with right hand.
Task	Reaching task
Available fields	data.cursor.posdata.cursor.veldata.cursor.accdata.hand.pos_2ddata.hand.vel_2ddata.hand.acc_2ddata.eye.pos
File Sizes
Raw data size	46 GB
Processed data size	25 GB
Notes
Warning	The data is not contiguous. Neural and behavior data are provided only during the trials, and not between trials. Additionally, the raw data contains artifacts that were removed during processing.

flint_slutzky_accurate_2012

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brainsets prepare flint_slutzky_accurate_2012

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Data Source
Publication(s)	10.1088/1741-2560/9/4/046006 Cite BibTeX @article{flint2012accurate, title={Accurate decoding of reaching movements from field potentials in the absence of spikes}, author={Flint, Robert D and Lindberg, Eric W and Jordan, Luke R and Miller, Lee E and Slutzky, Marc W}, journal={Journal of neural engineering}, volume={9}, number={4}, pages={046006}, year={2012}, publisher={IOP Publishing} } APA Style Flint, R. D., Lindberg, E. W., Jordan, L. R., Miller, L. E., & Slutzky, M. W. (2012). Accurate decoding of reaching movements from field potentials in the absence of spikes. Journal of neural engineering, 9(4), 046006. https://doi.org/10.1088/1741-2560/9/4/046006 10.1371/journal.pone.0078747 Cite BibTeX @article{10.1371/journal.pone.0078747, doi = {10.1371/journal.pone.0078747}, author = {Walker, Ben AND Kording, Konrad}, journal = {PLOS ONE}, publisher = {Public Library of Science}, title = {The Database for Reaching Experiments and Models}, year = {2013}, month = {11}, volume = {8}, url = {https://doi.org/10.1371/journal.pone.0078747}, pages = {1-10} } APA Style Walker, B., Kording, K. The Database for Reaching Experiments and Models. PLOS ONE 8, e78747 (2013). https://doi.org/10.1371/journal.pone.0078747
Data Source	https://crcns.org/data-sets/movements/dream/
License	Unclear, see DREAM User Manual
Subjects
Number of subjects	1
Species	Monkey
Number of recordings	5
Total recording time	0.88 hours
Distribution of recording lengths (in minutes)
Neural Data
Neural Modality	EPhys, spiking
Device	Utah Array
Total number of units	957
Distribution of number of units per recording
Total number of spikes	7.88M
Brain regions	M1
Available fields	data.spikesdata.units
Behavioral Data
Description	The animal is performing a center-out reaching task.
Task	Center-out reaching
Available fields	data.hand.vel
File Sizes
Raw data size	3.2 GB
Processed data size	151 MB

odoherty_sabes_nonhuman_2017

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brainsets prepare odoherty_sabes_nonhuman_2017

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Data Source
Publication(s)	10.5281/zenodo.3854034 Cite BibTeX @article{odoherty2017nonhuman, title={Nonhuman Primate Reaching with Multichannel Sensorimotor Cortex Electrophysiology [Data set]}, author={O'Doherty, Joseph E and Cardoso, Maria M B and Makin, John G and Sabes, Paul N}, journal={Zenodo}, year={2017}, url={https://doi.org/10.5281/zenodo.3854034} } APA Style O'Doherty, J. E., Cardoso, M. M. B., Makin, J. G., & Sabes, P. N. (2020). Nonhuman Primate Reaching with Multichannel Sensorimotor Cortex Electrophysiology [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3854034
Data Source	https://zenodo.org/records/3854034
License	Creative Commons Attribution 4.0 International
Subjects
Number of subjects	2
Species	Macaca mulatta
Number of recordings	47
Total recording time	13.74 hours
Distribution of recording lengths (in minutes)
Neural Data
Neural Modality	EPhys, spiking
Device	Utah Array
Total number of units	16,566
Distribution of number of units per recording
Total number of spikes	105.15M
Brain regions	M1, S1
Available fields	data.spikesdata.unitsdata.units.waveformsdata.units.average_waveform
Behavioral Data
Description	The animal is performing reaching tasks with right hand.
Task	Reaching task
Available fields	data.cursor.posdata.cursor.veldata.cursor.accdata.finger.pos_3ddata.finger.vel_3ddata.finger.orientationdata.finger.angular_vel
File Sizes
Raw data size	22 GB
Processed data size	26 GB

pei_pandarinath_nlb_2021

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Publication(s)	10.48550/arXiv.2109.04463 Cite BibTeX @inproceedings{PeiYe2021NeuralLatents, title={Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity}, author={Felix Pei and Joel Ye and David M. Zoltowski and Anqi Wu and Raeed H. Chowdhury and Hansem Sohn and Joseph E. O'Doherty and Krishna V. Shenoy and Matthew T. Kaufman and Mark Churchland and Mehrdad Jazayeri and Lee E. Miller and Jonathan Pillow and Il Memming Park and Eva L. Dyer and Chethan Pandarinath}, booktitle={Advances in Neural Information Processing Systems (NeurIPS), Track on Datasets and Benchmarks}, year={2021}, url={https://arxiv.org/abs/2109.04463} } APA Style Pei, F., Ye, J., Zoltowski, D. M., Wu, A., Chowdhury, R. H., Sohn, H., O'Doherty, J. E., Shenoy, K. V., Kaufman, M. T., Churchland, M. C., Jazayeri, M., Miller, L. E., Pillow, J., Park, M. M., Dyer, E. L., & Pandarinath, C. (2021). Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity. In Advances in Neural Information Processing Systems (NeurIPS), Track on Datasets and Benchmarks. https://doi.org/10.48550/arXiv.2109.04463
Data Source	https://dandiarchive.org/dandiset/000140
License	Creative Commons Attribution 4.0 International
Subjects
Number of subjects	1
Species	Rhesus Macaque, Macaca mulatta
Number of recordings	1
Total recording time	4.8 minutes
Distribution of recording lengths (in minutes)
Neural Data
Neural Modality	EPhys, spiking
Device	Utah Array
Total number of units	142
Distribution of number of units per recording
Total number of spikes	131.67K
Brain regions	M1
Available fields	data.spikesdata.units
Behavioral Data
Description	The experimental task was a center-out reaching task with obstructing barriers forming a maze, resulting in a variety of straight and curved reaches.
Task	Delayed reaching task in a maze
Available fields	data.cursor.posdata.cursor.veldata.cursor.acc
File Sizes
Raw data size	688 KB
Processed data size	22 MB

perich_miller_population_2018

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brainsets prepare perich_miller_population_2018

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Data Source
Publication(s)	10.48324/dandi.000688/0.250122.1735 Cite BibTeX @dataset{Perich2025, author = {Perich, Matthew G. and Miller, Lee E. and Azabou, Mehdi and Dyer, Eva L.}, title = {Long-term recordings of motor and premotor cortical spiking activity during reaching in monkeys}, year = {2025}, publisher = {DANDI Archive}, doi = {10.48324/dandi.000688/0.250122.1735} } APA Style Perich, M. G., Miller, L. E., Azabou, M., & Dyer, E. L. (2025). Long-term recordings of motor and premotor cortical spiking activity during reaching in monkeys [Data set]. DANDI Archive. https://doi.org/10.48324/dandi.000688/0.250122.1735 10.1016/j.neuron.2018.09.030 Cite BibTeX @article{PERICH2018964, title = {A Neural Population Mechanism for Rapid Learning}, journal = {Neuron}, volume = {100}, number = {4}, pages = {964-976.e7}, year = {2018}, issn = {0896-6273}, doi = {https://doi.org/10.1016/j.neuron.2018.09.030}, url = {https://www.sciencedirect.com/science/article/pii/S0896627318308328}, author = {Matthew G. Perich and Juan A. Gallego and Lee E. Miller} } APA Style Perich, M. G., Gallego, J. A., & Miller, L. E. (2018). A Neural Population Mechanism for Rapid Learning. Neuron, 100(4), 964-976.e7. https://doi.org/10.1016/j.neuron.2018.09.030
Data Source	https://dandiarchive.org/dandiset/000688
License	Creative Commons Attribution 4.0 International
Subjects
Number of subjects	4
Species	Rhesus Macaque, Macaca mulatta
Number of recordings	111
Total recording time	43.0 hours
Distribution of recording lengths (in minutes)
Neural Data
Neural Modality	EPhys, spiking
Device	Utah Array
Total number of units	10,410
Distribution of number of units per recording
Total number of spikes	111.39M
Brain regions	M1, PMd
Available fields	data.spikesdata.units
Behavioral Data
Description	The monkeys were trained to move a cursor from a central target to one of eight peripheral targets arranged in a circle. The data includes both successful and unsuccessful trials, with different trial outcomes coded as reward (R), abort (A), fail (F), or incomplete (I).
Task	Center-out reaching, Random-target reaching
Available fields	data.cursor.posdata.cursor.veldata.cursor.acc
File Sizes
Raw data size	13 GB
Processed data size	2.9 GB