GSP1000_leadDBS_05.tar

This file is part of "GSP1000 Preprocessed Connectome for Lead DBS".

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File Citation
Cohen, Alexander; Al-Fatly, Bassam; Horn, Andreas, 2023, "GSP1000 Preprocessed Connectome for Lead DBS", https://doi.org/10.7910/DVN/KKTJQC, Harvard Dataverse, V4; GSP1000_leadDBS_05.tar [fileName]
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Dataset Citation
Cohen, Alexander; Al-Fatly, Bassam; Horn, Andreas, 2023, "GSP1000 Preprocessed Connectome for Lead DBS", https://doi.org/10.7910/DVN/KKTJQC, Harvard Dataverse, V4
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MD5 006413c1e15c58014c1cd11433a0c78c
Deposit Date 2023-11-30
Metadata Release Date 2023-12-07
Publication Date 2023-12-07
Size 5.8 GB
Type TAR Archive
File Path GSP1000-LeadDBS/vol/
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Access and use of this derivative dataset is permitted solely under the terms of the original GSP data release: These restrictive terms of use take precedence over any less restrictive use terms that apply generally to Dataverse Network Terms of Use I request access to data collected as part of the Brain Genomics Superstruct Project (GSP) of Harvard University and the Massachusetts General Hospital, and I agree to the following: 1. I will not attempt to establish the identity of or attempt to contact any of the included human subjects. 2. I will not attempt to link any of the distributed data to any other data that might contain information about the included human subjects. 3. I understand that under no circumstances will the code that would link these data to Protected Health Information be given to me, nor will any additional information about individual human subjects be released to me under these Open Access Data Use Terms. 4. I will comply with all relevant rules and regulations imposed by my institution. This may mean that I need my research to be approved or declared exempt by a committee that oversees research on human subjects e.g., my Inter nal Review Board or Ethics Committee. Different committees operate under different national, state, and local laws and may interpret regulations differently, so it is important to ask about this. 5. I may redistribute original GSP Open Access data and any derived data as long as the data are redistributed under these same Data Use Terms. 6. I will acknowledge the use of GSP data and data derived from GSP data when publicly presenting any results or algorithms that benefitted from their use. a. Papers, book chapters, books, posters, oral presentations, and all other printed and digital presentations of results derived from GSP data should contain the following wordi ng in the acknowledgments section: “Data were provided [in part] by the Brain Genomics Superstruct Project of Harvard University and the Massachusetts General Hospital, (Principal Investigators: Randy Buckner, Joshua Roffman, and Jordan Smoller), with support from the Center for Brain Science Neuroinformatics Research Group, the Athinoula A. Martinos Center for Biomedical Imaging, and the Center for Human Genetic Research. 20 individual investigators at Harvard and MGH generously contributed d ata to GSP Open Access Data Use Terms Version: 2014-Apr-22 the overall project.” b. Authors of publications or presentations using GSP data should cite relevant publications describing the methods used by the GSP to acquire and process the data. The specific publications that are appropriate to cite in any given study will depend on what GSP data were used and for what purposes. An annotated and appropriately up-to-date list of publications that may warrant consideration is available at http://neuroinformatics.harvard.edu/gsp/ c. The GSP as a consortium should not be included as an author of publications or presentations if this authorship would be based solely on the use of GSP data. 7. Failure to abide by these guidelines will result in termination of my privileges to access GSP data.
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