{"id":19252326,"url":"https://github.com/sccn/nsgportal_manuscriptsupport","last_synced_at":"2025-07-03T09:03:52.546Z","repository":{"id":150759754,"uuid":"202159812","full_name":"sccn/nsgportal_manuscriptsupport","owner":"sccn","description":"Scripts and data supporting examples in the manuscript: Bringing High-Performance Computing into EEGLAB: The Open EEGLAB Portal ","archived":false,"fork":false,"pushed_at":"2019-12-03T07:04:06.000Z","size":25222,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":5,"default_branch":"master","last_synced_at":"2025-01-05T06:43:13.368Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"MATLAB","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/sccn.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-08-13T14:17:30.000Z","updated_at":"2019-12-03T07:04:08.000Z","dependencies_parsed_at":null,"dependency_job_id":"45df1023-d061-4fb2-a1e7-039164c36b4e","html_url":"https://github.com/sccn/nsgportal_manuscriptsupport","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sccn%2Fnsgportal_manuscriptsupport","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sccn%2Fnsgportal_manuscriptsupport/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sccn%2Fnsgportal_manuscriptsupport/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sccn%2Fnsgportal_manuscriptsupport/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sccn","download_url":"https://codeload.github.com/sccn/nsgportal_manuscriptsupport/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240347944,"owners_count":19787236,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-09T18:26:27.614Z","updated_at":"2025-02-23T16:51:03.368Z","avatar_url":"https://github.com/sccn.png","language":"MATLAB","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Supporting files for manuscript: Bringing High-Performance Computing into EEGLAB: The Open EEGLAB Portal\nSupporting files (not data) for the manuscript: \n\n**Bringing High-Performance Computing into EEGLAB: The Open EEGLAB Portal** by Ramon Martinez-Cancino, Dung Truong, Fiorenzo Artoni, Kenneth Kreutz-Delgado, Amitava Majumdar, Subhashini Sivagnanam, Kenneth Yoshimoto, Scott Makeig and Arnaud Delorme.(In preparation)\n\n\n## Content\n1. Folder *oep_runica*: Sample job used in the manuscript. It contains the script and data to run in NSG.\n2. Folder *oep_runica_plugin*: Sammple plug-in  featuring *nsgportal* command-line tools\n3. Folder *relica_local_test*: Script for testing RELICA (NSG-capable) performance. Saves the time and computer characteristics where the test is performed.\n4. Folder *wh_data* with the scripts for:\n    1. Import the EEG data from the raw (.fif) files (*wh_extracteegsubj11.m*)\n    2. Preprocessing and saving the EEG data in its final format for the job test (*wh_preprocessing_subj11.m*).\n    3. Running data import and processing scripts (*wh_subj11_runall.m*). This is the one that should be run by the users.\n                                          \nThe data used here correspond to the first run from subject 11 in the dataset published by:\nHenson, R.N., Wakeman, D.G., Litvak, V. \u0026 Friston, K.J. (2011).\nA Parametric Empirical Bayesian framework for the EEG/MEG inverse\nproblem: generative models for multisubject and multimodal integration.\nFrontiers in Human Neuroscience, 5, 76, 1-16.\nThe data was obtained from the OpenNeuro project (https://www.openneuro.org). Accession #: ds000117.\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsccn%2Fnsgportal_manuscriptsupport","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsccn%2Fnsgportal_manuscriptsupport","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsccn%2Fnsgportal_manuscriptsupport/lists"}