Cobrawap 0.1.0 (ICPSR doi:10.26165/JUELICH-DATA/NQ4LZC)

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Part 2: Study Description
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Document Description

Citation

Title:

Cobrawap 0.1.0

Identification Number:

doi:10.26165/JUELICH-DATA/NQ4LZC

Distributor:

Jülich DATA

Date of Distribution:

2023-11-23

Version:

1

Bibliographic Citation:

Gutzen, Robin; De Bonis, Giulia; De Luca, Chiara, 2023, "Cobrawap 0.1.0", https://doi.org/10.26165/JUELICH-DATA/NQ4LZC, Jülich DATA, V1

Study Description

Citation

Title:

Cobrawap 0.1.0

Identification Number:

doi:10.26165/JUELICH-DATA/NQ4LZC

Identification Number:

doi:10.5281/zenodo.10198749

Authoring Entity:

Gutzen, Robin (Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA-Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Jülich, Germany)

De Bonis, Giulia (Istituto Nazionale di Fisica Nucleare (INFN), Sezione di Roma, Rome, Italy)

De Luca, Chiara (Institute of Neuroinformatics, University of Zürich and ETH Zürich, Zürich, Switzerland)

Distributor:

Jülich DATA

Access Authority:

Denker, Michael

Depositor:

Denker, Michael

Date of Deposit:

2024-02-16

Study Scope

Keywords:

Computer and Information Science, Medicine, Health and Life Sciences, Physics, oscillations, neural waves, Python, software

Abstract:

Collaborative Brain Wave Analysis Pipeline (Cobrawap) Release 0.1.0, see https://cobrawap.readthedocs.io Full list of authors and project members: https://cobrawap.readthedocs.io/en/v0.1.0/authors.html

Methodology and Processing

Sources Statement

Data Access

Notes:

GNU General Public License, Version 3

Other Study Description Materials

Related Publications

Citation

Identification Number:

10.1016/j.crmeth.2023.100681

Bibliographic Citation:

Gutzen, R., Bonis, G.D., Luca, C.D., Pastorelli, E., Capone, C., Mascaro, A.L.A., Resta, F., Manasanch, A., Pavone, F.S., Sanchez-Vives, M.V., Mattia, M., Grün, S., Paolucci, P.S., Denker, M., 2024. A modular and adaptable analysis pipeline to compare slow cerebral rhythms across heterogeneous datasets. Cell Reports Methods 4, 100681. https://doi.org/10.1016/j.crmeth.2023.100681