From 03511b8d638e789301b0e31f8f76e5b5f16fa163 Mon Sep 17 00:00:00 2001 From: emmetaobrien Date: Thu, 20 Jul 2023 10:09:22 -0400 Subject: [PATCH 1/7] [DATALAD] Recorded changes --- README.md | 39 --------------------------------------- 1 file changed, 39 deletions(-) delete mode 100644 README.md diff --git a/README.md b/README.md deleted file mode 100644 index dbd3ed5..0000000 --- a/README.md +++ /dev/null @@ -1,39 +0,0 @@ -# [Courtois NeuroMod](https://www.cneuromod.ca/) preprocessed dataset - -This super-dataset reference the different derivatives generated with standard pipelines from the CNeuroMod dataset. - -![neuromod logo](https://docs.cneuromod.ca/en/latest/_images/logo_neuromod_black.png) - -## Overview - -The Courtois project on Neural Modelling (["Courtois NeuroMod"](https://www.cneuromod.ca/)) is a dense fMRI database that is being collected on 6 subjects since 2018. Subjects are scanned regularly, up to several times a week, using the 3T Siemens PrismaFit scanner (64-channel head-neck coil, accelerated simultaneous multi-slice, gradient echo-planar imaging sequence) and both naturalistic and controlled stimuli from a broad range of cognitive domains. The aim of the Courtois Neuromod Project is to train artificial neural networks using extensive experimental data on individual human brain activity and behavior. - -## Participants - -In an effort to accelerate discovery through Citizen Science, participants 01, 03, and 05 in the Courtois NeuroMod project have decided and consented to openly share their data with the scientific community to advance research at the interface of neuroscience and artificial intelligence. - -Data for all 6 subjects is accessible through registered access and institutional data transfer agreement. For more information please visit our [homepage](https://www.cneuromod.ca/). - -## Datasets - -Datasets will be updated with each new CNeuroMod data release. [Preprocessed data derivatives](https://github.com/courtois-neuromod/cneuromod.processed) (including from the fMRIprep LTS pipeline) are also available. Details on sequences, processing workflow, and datasets can be found in the [Courtois Neuromod documentation](http://docs.cneuromod.ca/). - -## License - -The CNeuroMod data and derivatives of these data provided by the CNeuroMod team (e.g., preprocessed data listed above) are shared under a [CC0 license](https://creativecommons.org/publicdomain/zero/1.0/legalcode) that is owned by the CNeuroMod team and the participants listed above. - -## Team and funding - -The Courtois NeuroMod project is lead by a team based at the [Centre de Recherche de l’institut Universitaire de Gériatrie de Montréal](https://criugm.qc.ca/en/) (CRIUGM) and the University of Montreal. The project benefits from key collaborations with teams from around the world. For a full list of contributors please see [this page](https://docs.cneuromod.ca/en/latest/AUTHORS.html). - -The project is made possible by a generous donation by the Courtois Foundation to [Pierre Bellec](https://simexp.github.io/lab-website/). - -## How to cite - -We kindly ask that all publications using CNeuroMod datasets include the following paragraph in their acknowledgement section: - -The Courtois project on neural modelling was made possible by a generous donation from the Courtois foundation, administered by the Fondation Institut Gériatrie Montréal at CIUSSS du Centre-Sud-de-l’île-de-Montréal and the University of Montreal. The Courtois NeuroMod team is based at “Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal”, with several other institutions involved. See the CNeuroMod documentation for an up-to-date list of contributors (https://docs.cneuromod.ca). - - -![ciusss logo](https://www.cneuromod.ca/about/about/logo_ciusss_white.png) -![udem logo](https://github.com/courtois-neuromod/cneuromod_docs/raw/main/source/img/logo_udem.png) \ No newline at end of file From d77555d07e4b9f70ad5a65cfd1fe4637b7ff1575 Mon Sep 17 00:00:00 2001 From: emmetaobrien Date: Thu, 20 Jul 2023 10:14:32 -0400 Subject: [PATCH 2/7] [DATALAD] Recorded changes --- DATS.json | 293 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ README.md | 32 ++++++ 2 files changed, 325 insertions(+) create mode 100644 DATS.json create mode 100644 README.md diff --git a/DATS.json b/DATS.json new file mode 100644 index 0000000..d77ca00 --- /dev/null +++ b/DATS.json @@ -0,0 +1,293 @@ +{ + "title": "The Courtois Project on Neuronal Modelling - Preprocessed data - sub-01, sub-03, sub-05", + "description": "The Courtois project on Neural Modelling (https://www.cneuromod.ca/) is a dense fMRI database that is being collected on 6 subjects since 2018. Subjects are scanned regularly, up to several times a week, using the 3T Siemens PrismaFit scanner (64-channel head-neck coil, accelerated simultaneous multi-slice, gradient echo-planar imaging sequence) and both naturalistic and controlled stimuli from a broad range of cognitive domains. The aim of the Courtois Neuromod Project is to train artificial neural networks using extensive experimental data on individual human brain activity and behaviour.", + "identifier": { + "identifier": "https://doi.org/10.5281/zenodo.8147300", + "identifierSource": "Zenodo DOI" + }, + "dates": [ + { + "date": "2018-12-16 00:00:00", + "type": { + "value": "start date" + } + } + ], + "creators": [ + { + "name": "The Courtois Project on Neuronal Modelling", + "abbreviation": "CNeuroMod" + }, + { + "fullName": "CNeuroMod Citizen Scientist 01", + "lastName": "Citizen Scientist 01", + "firstName": "CNeuroMod", + "affiliations": [ + { + "name": "Independent" + } + ], + "extraProperties": [ + { + "category": "ORCID", + "values": [ + { + "value": "https://orcid.org/0000-0000-0000-0000" + } + ] + } + ] + }, + { + "fullName": "CNeuroMod Citizen Scientist 03", + "firstName": "CNeuroMod", + "lastName": "Citizen Scientist 03", + "affiliations": [ + { + "name": "Independent" + } + ], + "extraProperties": [ + { + "category": "ORCID", + "values": [ + { + "value": "https://orcid.org/0000-0000-0000-0000" + } + ] + } + ] + }, + { + "fullName": "CNeuroMod Citizen Scientist 05", + "firstName": "CNeuroMod", + "lastName": "Citizen Scientist 05", + "affiliations": [ + { + "name": "Independent" + } + ], + "extraProperties": [ + { + "category": "ORCID", + "values": [ + { + "value": "https://orcid.org/0000-0000-0000-0000" + } + ] + } + ] + } + ], + "types": [ + { + "information": { + "value": "fMRI, MRI, DTI" + } + }, + { + "information": { + "value": "Basic demographic" + } + } + ], + "version": "2022", + "privacy": "open", + "licenses": [ + { + "name": "CC0" + } + ], + "distributions": [ + { + "formats": [ + "BIDS", + "NIFTI " + ], + "size": 990, + "unit": { + "value": "GB" + }, + "access": { + "landingPage": "https://docs.cneuromod.ca/en/latest/index.html", + "authorizations": [ + { + "value": "public" + } + ] + } + } + ], + "isAbout": [ + { + "identifier": { + "identifier": "https://www.ncbi.nlm.nih.gov/taxonomy/9606", + "identifierSource": "NCBI Taxonomy Database" + }, + "name": "Homo sapiens" + }, + { + "name": "Adult" + } + ], + "aggregation": "instance of dataset", + "dimensions": [ + { + "name": { + "value": "Structural MRI" + }, + "description": "T1-weighted MPRAGE 3D sagittal, T2-weighted FSE (SPACE) 3D sagittal, Diffusion-weighted 2D axial, gradient-echo magnetization-transfer 3D, gradient-echo proton density 3D, gradient-echo T1-weighted 3D, MP2RAGE 3D, Susceptibility-weighted 3D" + }, + { + "name": { + "value": "Functional MRI" + }, + "description": "resting BOLD, tasks BOLD" + } + ], + "acknowledges": [ + { + "name": "Grants", + "funders": [ + { + "name": "Courtois Foundation" + } + ] + } + ], + "keywords": [ + { + "value": "Human Connectome Project tasks" + }, + { + "value": "movies" + }, + { + "value": "structural MRI" + }, + { + "value": "fMRI" + }, + { + "value": "videogame" + }, + { + "value": "vision" + }, + { + "value": "multimodal" + }, + { + "value": "naturalistic tasks" + }, + { + "value": "language" + } + ], + "extraProperties": [ + { + "category": "subjects", + "values": [ + { + "value": "3" + } + ] + }, + { + "category": "files", + "values": [ + { + "value": "42001" + } + ] + }, + { + "category": "CONP_status", + "values": [ + { + "value": "Canadian" + } + ] + }, + { + "category": "origin_consortium", + "values": [ + { + "value": "The Courtois Project on Neuronal Modelling" + } + ] + }, + { + "category": "origin_institution", + "values": [ + { + "value": "CRIUGM" + } + ] + }, + { + "category": "origin_city", + "values": [ + { + "value": "Montreal" + } + ] + }, + { + "category": "origin_province", + "values": [ + { + "value": "Quebec" + } + ] + }, + { + "category": "origin_country", + "values": [ + { + "value": "Canada" + } + ] + }, + { + "category": "logo", + "values": [ + { + "value": "https://www.cneuromod.ca/images/cneuromod_logo.svg" + } + ] + }, + { + "category": "contact", + "values": [ + { + "value": "Courtois NeuroMod team, courtois.neuromod@gmail.com" + } + ] + }, + { + "category": "derivedFrom", + "values": [ + { + "value": "The Courtois Project on Neuronal Modelling - Raw data - sub-01, sub-03, sub-05" + } + ] + }, + { + "category": "parent_dataset_id", + "values": [ + { + "value": "https://doi.org/10.5281/zenodo.8147300" + } + ] + }, + { + "category": "REB_statement", + "values": [ + { + "value": "In submitting this dataset for inclusion, I declare that local law or a relevant institutional authorization otherwise enables the deposit of these data in an open-access portal." + } + ] + } + ] +} diff --git a/README.md b/README.md new file mode 100644 index 0000000..1bd1092 --- /dev/null +++ b/README.md @@ -0,0 +1,32 @@ +# [Courtois NeuroMod - preprocessed](https://www.cneuromod.ca/) + +## Overview + +The Courtois project on Neural Modelling (["Courtois NeuroMod"](https://www.cneuromod.ca/)) is a dense fMRI database that is being collected on 6 subjects since 2018. Subjects are scanned regularly, up to several times a week, using the 3T Siemens PrismaFit scanner (64-channel head-neck coil, accelerated simultaneous multi-slice, gradient echo-planar imaging sequence) and both naturalistic and controlled stimuli from a broad range of cognitive domains. The aim of the Courtois Neuromod Project is to train artificial neural networks using extensive experimental data on individual human brain activity and behaviour. + +## Participants + +In an effort to accelerate discovery through Citizen Science, participants 01, 03, and 05 in the Courtois NeuroMod project have decided and consented to openly share their data with the scientific community to advance research at the interface of neuroscience and artificial intelligence. + +Data for all 6 subjects in Courtois NeuroMod project are accessible through registered access and institutional data transfer agreement. For more information please visit our [homepage](https://www.cneuromod.ca/). + +## Datasets + +Datasets will be updated with each new CNeuroMod data release. This dataset contains the Courtois NeuroMod [preprocessed data derivatives](https://github.com/courtois-neuromod/cneuromod.processed) (including from the fMRIprep LTS pipeline) but raw data are also available for the same three participants in [this dataset](). ​Details on sequences, processing workflow, and datasets can be found in the [Courtois Neuromod documentation](http://docs.cneuromod.ca/). + +## License + +The CNeuroMod data and derivatives of these data provided by the CNeuroMod team (e.g., preprocessed data listed above) are shared under a [CC0 license](https://creativecommons.org/publicdomain/zero/1.0/legalcode) that is owned by the CNeuroMod team and the participants listed above. + +## Team and funding + +The Courtois NeuroMod project is lead by a team based at the [Centre de Recherche de l’institut Universitaire de Gériatrie de Montréal](https://criugm.qc.ca/en/) (CRIUGM) and the University of Montreal. The project benefits from key collaborations with teams from around the world. For a full list of contributors please see [this page](https://docs.cneuromod.ca/en/latest/AUTHORS.html). + +The project is made possible by a generous donation by the Courtois Foundation to [Pierre Bellec](https://simexp.github.io/lab-website/). + +## How to cite + +We kindly ask that all publications using CNeuroMod datasets include the following paragraph in their acknowledgement section: + +The Courtois project on neural modelling was made possible by a generous donation from the Courtois foundation, administered by the Fondation Institut Gériatrie Montréal at CIUSSS du Centre-Sud-de-l’île-de-Montréal and the University of Montreal. The Courtois NeuroMod team is based at “Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal”, with several other institutions involved. See the CNeuroMod documentation for an up-to-date list of contributors (https://docs.cneuromod.ca). + From fe9d9d55ae5730781c5c0f9084d85498b3534005 Mon Sep 17 00:00:00 2001 From: emmetaobrien Date: Thu, 20 Jul 2023 15:50:48 -0400 Subject: [PATCH 3/7] [DATALAD] Recorded changes --- DATS.json | 293 ------------------------------------------------------ README.md | 32 ------ 2 files changed, 325 deletions(-) delete mode 100644 DATS.json delete mode 100644 README.md diff --git a/DATS.json b/DATS.json deleted file mode 100644 index d77ca00..0000000 --- a/DATS.json +++ /dev/null @@ -1,293 +0,0 @@ -{ - "title": "The Courtois Project on Neuronal Modelling - Preprocessed data - sub-01, sub-03, sub-05", - "description": "The Courtois project on Neural Modelling (https://www.cneuromod.ca/) is a dense fMRI database that is being collected on 6 subjects since 2018. Subjects are scanned regularly, up to several times a week, using the 3T Siemens PrismaFit scanner (64-channel head-neck coil, accelerated simultaneous multi-slice, gradient echo-planar imaging sequence) and both naturalistic and controlled stimuli from a broad range of cognitive domains. The aim of the Courtois Neuromod Project is to train artificial neural networks using extensive experimental data on individual human brain activity and behaviour.", - "identifier": { - "identifier": "https://doi.org/10.5281/zenodo.8147300", - "identifierSource": "Zenodo DOI" - }, - "dates": [ - { - "date": "2018-12-16 00:00:00", - "type": { - "value": "start date" - } - } - ], - "creators": [ - { - "name": "The Courtois Project on Neuronal Modelling", - "abbreviation": "CNeuroMod" - }, - { - "fullName": "CNeuroMod Citizen Scientist 01", - "lastName": "Citizen Scientist 01", - "firstName": "CNeuroMod", - "affiliations": [ - { - "name": "Independent" - } - ], - "extraProperties": [ - { - "category": "ORCID", - "values": [ - { - "value": "https://orcid.org/0000-0000-0000-0000" - } - ] - } - ] - }, - { - "fullName": "CNeuroMod Citizen Scientist 03", - "firstName": "CNeuroMod", - "lastName": "Citizen Scientist 03", - "affiliations": [ - { - "name": "Independent" - } - ], - "extraProperties": [ - { - "category": "ORCID", - "values": [ - { - "value": "https://orcid.org/0000-0000-0000-0000" - } - ] - } - ] - }, - { - "fullName": "CNeuroMod Citizen Scientist 05", - "firstName": "CNeuroMod", - "lastName": "Citizen Scientist 05", - "affiliations": [ - { - "name": "Independent" - } - ], - "extraProperties": [ - { - "category": "ORCID", - "values": [ - { - "value": "https://orcid.org/0000-0000-0000-0000" - } - ] - } - ] - } - ], - "types": [ - { - "information": { - "value": "fMRI, MRI, DTI" - } - }, - { - "information": { - "value": "Basic demographic" - } - } - ], - "version": "2022", - "privacy": "open", - "licenses": [ - { - "name": "CC0" - } - ], - "distributions": [ - { - "formats": [ - "BIDS", - "NIFTI " - ], - "size": 990, - "unit": { - "value": "GB" - }, - "access": { - "landingPage": "https://docs.cneuromod.ca/en/latest/index.html", - "authorizations": [ - { - "value": "public" - } - ] - } - } - ], - "isAbout": [ - { - "identifier": { - "identifier": "https://www.ncbi.nlm.nih.gov/taxonomy/9606", - "identifierSource": "NCBI Taxonomy Database" - }, - "name": "Homo sapiens" - }, - { - "name": "Adult" - } - ], - "aggregation": "instance of dataset", - "dimensions": [ - { - "name": { - "value": "Structural MRI" - }, - "description": "T1-weighted MPRAGE 3D sagittal, T2-weighted FSE (SPACE) 3D sagittal, Diffusion-weighted 2D axial, gradient-echo magnetization-transfer 3D, gradient-echo proton density 3D, gradient-echo T1-weighted 3D, MP2RAGE 3D, Susceptibility-weighted 3D" - }, - { - "name": { - "value": "Functional MRI" - }, - "description": "resting BOLD, tasks BOLD" - } - ], - "acknowledges": [ - { - "name": "Grants", - "funders": [ - { - "name": "Courtois Foundation" - } - ] - } - ], - "keywords": [ - { - "value": "Human Connectome Project tasks" - }, - { - "value": "movies" - }, - { - "value": "structural MRI" - }, - { - "value": "fMRI" - }, - { - "value": "videogame" - }, - { - "value": "vision" - }, - { - "value": "multimodal" - }, - { - "value": "naturalistic tasks" - }, - { - "value": "language" - } - ], - "extraProperties": [ - { - "category": "subjects", - "values": [ - { - "value": "3" - } - ] - }, - { - "category": "files", - "values": [ - { - "value": "42001" - } - ] - }, - { - "category": "CONP_status", - "values": [ - { - "value": "Canadian" - } - ] - }, - { - "category": "origin_consortium", - "values": [ - { - "value": "The Courtois Project on Neuronal Modelling" - } - ] - }, - { - "category": "origin_institution", - "values": [ - { - "value": "CRIUGM" - } - ] - }, - { - "category": "origin_city", - "values": [ - { - "value": "Montreal" - } - ] - }, - { - "category": "origin_province", - "values": [ - { - "value": "Quebec" - } - ] - }, - { - "category": "origin_country", - "values": [ - { - "value": "Canada" - } - ] - }, - { - "category": "logo", - "values": [ - { - "value": "https://www.cneuromod.ca/images/cneuromod_logo.svg" - } - ] - }, - { - "category": "contact", - "values": [ - { - "value": "Courtois NeuroMod team, courtois.neuromod@gmail.com" - } - ] - }, - { - "category": "derivedFrom", - "values": [ - { - "value": "The Courtois Project on Neuronal Modelling - Raw data - sub-01, sub-03, sub-05" - } - ] - }, - { - "category": "parent_dataset_id", - "values": [ - { - "value": "https://doi.org/10.5281/zenodo.8147300" - } - ] - }, - { - "category": "REB_statement", - "values": [ - { - "value": "In submitting this dataset for inclusion, I declare that local law or a relevant institutional authorization otherwise enables the deposit of these data in an open-access portal." - } - ] - } - ] -} diff --git a/README.md b/README.md deleted file mode 100644 index 1bd1092..0000000 --- a/README.md +++ /dev/null @@ -1,32 +0,0 @@ -# [Courtois NeuroMod - preprocessed](https://www.cneuromod.ca/) - -## Overview - -The Courtois project on Neural Modelling (["Courtois NeuroMod"](https://www.cneuromod.ca/)) is a dense fMRI database that is being collected on 6 subjects since 2018. Subjects are scanned regularly, up to several times a week, using the 3T Siemens PrismaFit scanner (64-channel head-neck coil, accelerated simultaneous multi-slice, gradient echo-planar imaging sequence) and both naturalistic and controlled stimuli from a broad range of cognitive domains. The aim of the Courtois Neuromod Project is to train artificial neural networks using extensive experimental data on individual human brain activity and behaviour. - -## Participants - -In an effort to accelerate discovery through Citizen Science, participants 01, 03, and 05 in the Courtois NeuroMod project have decided and consented to openly share their data with the scientific community to advance research at the interface of neuroscience and artificial intelligence. - -Data for all 6 subjects in Courtois NeuroMod project are accessible through registered access and institutional data transfer agreement. For more information please visit our [homepage](https://www.cneuromod.ca/). - -## Datasets - -Datasets will be updated with each new CNeuroMod data release. This dataset contains the Courtois NeuroMod [preprocessed data derivatives](https://github.com/courtois-neuromod/cneuromod.processed) (including from the fMRIprep LTS pipeline) but raw data are also available for the same three participants in [this dataset](). ​Details on sequences, processing workflow, and datasets can be found in the [Courtois Neuromod documentation](http://docs.cneuromod.ca/). - -## License - -The CNeuroMod data and derivatives of these data provided by the CNeuroMod team (e.g., preprocessed data listed above) are shared under a [CC0 license](https://creativecommons.org/publicdomain/zero/1.0/legalcode) that is owned by the CNeuroMod team and the participants listed above. - -## Team and funding - -The Courtois NeuroMod project is lead by a team based at the [Centre de Recherche de l’institut Universitaire de Gériatrie de Montréal](https://criugm.qc.ca/en/) (CRIUGM) and the University of Montreal. The project benefits from key collaborations with teams from around the world. For a full list of contributors please see [this page](https://docs.cneuromod.ca/en/latest/AUTHORS.html). - -The project is made possible by a generous donation by the Courtois Foundation to [Pierre Bellec](https://simexp.github.io/lab-website/). - -## How to cite - -We kindly ask that all publications using CNeuroMod datasets include the following paragraph in their acknowledgement section: - -The Courtois project on neural modelling was made possible by a generous donation from the Courtois foundation, administered by the Fondation Institut Gériatrie Montréal at CIUSSS du Centre-Sud-de-l’île-de-Montréal and the University of Montreal. The Courtois NeuroMod team is based at “Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal”, with several other institutions involved. See the CNeuroMod documentation for an up-to-date list of contributors (https://docs.cneuromod.ca). - From 27c08dc5dc68d36b77e658b95a3f77509fb1e8a2 Mon Sep 17 00:00:00 2001 From: "Emmet A. O'Brien" <48991949+emmetaobrien@users.noreply.github.com> Date: Thu, 20 Jul 2023 15:58:11 -0400 Subject: [PATCH 4/7] Add files via upload --- DATS.json | 293 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ README.md | 31 ++++++ 2 files changed, 324 insertions(+) create mode 100644 DATS.json create mode 100644 README.md diff --git a/DATS.json b/DATS.json new file mode 100644 index 0000000..e539619 --- /dev/null +++ b/DATS.json @@ -0,0 +1,293 @@ +{ + "title": "The Courtois Project on Neuronal Modelling - Preprocessed data - sub-01, sub-03, sub-05", + "description": "The Courtois project on Neural Modelling (https://www.cneuromod.ca/) is a dense fMRI database that is being collected on 6 subjects since 2018. Subjects are scanned regularly, up to several times a week, using the 3T Siemens PrismaFit scanner (64-channel head-neck coil, accelerated simultaneous multi-slice, gradient echo-planar imaging sequence) and both naturalistic and controlled stimuli from a broad range of cognitive domains. The aim of the Courtois Neuromod Project is to train artificial neural networks using extensive experimental data on individual human brain activity and behaviour.", + "identifier": { + "identifier": "https://doi.org/10.5281/zenodo.8147300", + "identifierSource": "Zenodo DOI" + }, + "dates": [ + { + "date": "2018-12-16 00:00:00", + "type": { + "value": "start date" + } + } + ], + "creators": [ + { + "name": "The Courtois Project on Neuronal Modelling", + "abbreviation": "CNeuroMod" + }, + { + "fullName": "CNeuroMod Citizen Scientist 01", + "lastName": "Citizen Scientist 01", + "firstName": "CNeuroMod", + "affiliations": [ + { + "name": "Independent" + } + ], + "extraProperties": [ + { + "category": "ORCID", + "values": [ + { + "value": "https://orcid.org/0000-0000-0000-0000" + } + ] + } + ] + }, + { + "fullName": "CNeuroMod Citizen Scientist 03", + "firstName": "CNeuroMod", + "lastName": "Citizen Scientist 03", + "affiliations": [ + { + "name": "Independent" + } + ], + "extraProperties": [ + { + "category": "ORCID", + "values": [ + { + "value": "https://orcid.org/0000-0000-0000-0000" + } + ] + } + ] + }, + { + "fullName": "CNeuroMod Citizen Scientist 05", + "firstName": "CNeuroMod", + "lastName": "Citizen Scientist 05", + "affiliations": [ + { + "name": "Independent" + } + ], + "extraProperties": [ + { + "category": "ORCID", + "values": [ + { + "value": "https://orcid.org/0000-0000-0000-0000" + } + ] + } + ] + } + ], + "types": [ + { + "information": { + "value": "fMRI, MRI, DTI" + } + }, + { + "information": { + "value": "Basic demographic" + } + } + ], + "version": "2022", + "privacy": "open", + "licenses": [ + { + "name": "CC0" + } + ], + "distributions": [ + { + "formats": [ + "BIDS", + "NIFTI " + ], + "size": 990, + "unit": { + "value": "GB" + }, + "access": { + "landingPage": "https://docs.cneuromod.ca/en/latest/index.html", + "authorizations": [ + { + "value": "public" + } + ] + } + } + ], + "isAbout": [ + { + "identifier": { + "identifier": "https://www.ncbi.nlm.nih.gov/taxonomy/9606", + "identifierSource": "NCBI Taxonomy Database" + }, + "name": "Homo sapiens" + }, + { + "name": "Adult" + } + ], + "aggregation": "instance of dataset", + "dimensions": [ + { + "name": { + "value": "Structural MRI" + }, + "description": "T1-weighted MPRAGE 3D sagittal, T2-weighted FSE (SPACE) 3D sagittal, Diffusion-weighted 2D axial, gradient-echo magnetization-transfer 3D, gradient-echo proton density 3D, gradient-echo T1-weighted 3D, MP2RAGE 3D, Susceptibility-weighted 3D" + }, + { + "name": { + "value": "Functional MRI" + }, + "description": "resting BOLD, tasks BOLD" + } + ], + "acknowledges": [ + { + "name": "Grants", + "funders": [ + { + "name": "Courtois Foundation" + } + ] + } + ], + "keywords": [ + { + "value": "Human Connectome Project tasks" + }, + { + "value": "movies" + }, + { + "value": "structural MRI" + }, + { + "value": "fMRI" + }, + { + "value": "videogame" + }, + { + "value": "vision" + }, + { + "value": "multimodal" + }, + { + "value": "naturalistic tasks" + }, + { + "value": "language" + } + ], + "extraProperties": [ + { + "category": "subjects", + "values": [ + { + "value": "3" + } + ] + }, + { + "category": "files", + "values": [ + { + "value": "42001" + } + ] + }, + { + "category": "CONP_status", + "values": [ + { + "value": "Canadian" + } + ] + }, + { + "category": "origin_consortium", + "values": [ + { + "value": "The Courtois Project on Neuronal Modelling" + } + ] + }, + { + "category": "origin_institution", + "values": [ + { + "value": "CRIUGM" + } + ] + }, + { + "category": "origin_city", + "values": [ + { + "value": "Montreal" + } + ] + }, + { + "category": "origin_province", + "values": [ + { + "value": "Quebec" + } + ] + }, + { + "category": "origin_country", + "values": [ + { + "value": "Canada" + } + ] + }, + { + "category": "logo", + "values": [ + { + "value": "https://www.cneuromod.ca/images/cneuromod_logo.svg" + } + ] + }, + { + "category": "contact", + "values": [ + { + "value": "Courtois NeuroMod team, courtois.neuromod@gmail.com" + } + ] + }, + { + "category": "derivedFrom", + "values": [ + { + "value": "The Courtois Project on Neuronal Modelling - Raw data - sub-01, sub-03, sub-05" + } + ] + }, + { + "category": "parent_dataset_id", + "values": [ + { + "value": "https://doi.org/10.5281/zenodo.8147300" + } + ] + }, + { + "category": "REB_statement", + "values": [ + { + "value": "In submitting this dataset for inclusion, I declare that local law or a relevant institutional authorization otherwise enables the deposit of these data in an open-access portal." + } + ] + } + ] +} \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..5b48191 --- /dev/null +++ b/README.md @@ -0,0 +1,31 @@ +# [Courtois NeuroMod - preprocessed](https://www.cneuromod.ca/) + +## Overview + +The Courtois project on Neural Modelling (["Courtois NeuroMod"](https://www.cneuromod.ca/)) is a dense fMRI database that is being collected on 6 subjects since 2018. Subjects are scanned regularly, up to several times a week, using the 3T Siemens PrismaFit scanner (64-channel head-neck coil, accelerated simultaneous multi-slice, gradient echo-planar imaging sequence) and both naturalistic and controlled stimuli from a broad range of cognitive domains. The aim of the Courtois Neuromod Project is to train artificial neural networks using extensive experimental data on individual human brain activity and behaviour. + +## Participants + +In an effort to accelerate discovery through Citizen Science, participants 01, 03, and 05 in the Courtois NeuroMod project have decided and consented to openly share their data with the scientific community to advance research at the interface of neuroscience and artificial intelligence. + +Data for all 6 subjects in Courtois NeuroMod project are accessible through registered access and institutional data transfer agreement. For more information please visit our [homepage](https://www.cneuromod.ca/). + +## Datasets + +Datasets will be updated with each new CNeuroMod data release. This dataset contains the Courtois NeuroMod [preprocessed data derivatives](https://github.com/courtois-neuromod/cneuromod.processed) (including from the fMRIprep LTS pipeline) but raw data are also available for the same three participants in [this dataset](). ​Details on sequences, processing workflow, and datasets can be found in the [Courtois Neuromod documentation](http://docs.cneuromod.ca/). + +## License + +The CNeuroMod data and derivatives of these data provided by the CNeuroMod team (e.g., preprocessed data listed above) are shared under a [CC0 license](https://creativecommons.org/publicdomain/zero/1.0/legalcode) that is owned by the CNeuroMod team and the participants listed above. + +## Team and funding + +The Courtois NeuroMod project is lead by a team based at the [Centre de Recherche de l’institut Universitaire de Gériatrie de Montréal](https://criugm.qc.ca/en/) (CRIUGM) and the University of Montreal. The project benefits from key collaborations with teams from around the world. For a full list of contributors please see [this page](https://docs.cneuromod.ca/en/latest/AUTHORS.html). + +The project is made possible by a generous donation by the Courtois Foundation to [Pierre Bellec](https://simexp.github.io/lab-website/). + +## How to cite + +We kindly ask that all publications using CNeuroMod datasets include the following paragraph in their acknowledgement section: + +The Courtois project on neural modelling was made possible by a generous donation from the Courtois foundation, administered by the Fondation Institut Gériatrie Montréal at CIUSSS du Centre-Sud-de-l’île-de-Montréal and the University of Montreal. The Courtois NeuroMod team is based at “Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal”, with several other institutions involved. See the CNeuroMod documentation for an up-to-date list of contributors (https://docs.cneuromod.ca). From 75297d876779c9cfcbeec626e9473486ce242bf6 Mon Sep 17 00:00:00 2001 From: emmetaobrien Date: Fri, 21 Jul 2023 18:54:45 -0400 Subject: [PATCH 5/7] [DATALAD] Recorded changes --- DATS.json | 293 ------------------------------------------------------ README.md | 31 ------ 2 files changed, 324 deletions(-) delete mode 100644 DATS.json delete mode 100644 README.md diff --git a/DATS.json b/DATS.json deleted file mode 100644 index e539619..0000000 --- a/DATS.json +++ /dev/null @@ -1,293 +0,0 @@ -{ - "title": "The Courtois Project on Neuronal Modelling - Preprocessed data - sub-01, sub-03, sub-05", - "description": "The Courtois project on Neural Modelling (https://www.cneuromod.ca/) is a dense fMRI database that is being collected on 6 subjects since 2018. Subjects are scanned regularly, up to several times a week, using the 3T Siemens PrismaFit scanner (64-channel head-neck coil, accelerated simultaneous multi-slice, gradient echo-planar imaging sequence) and both naturalistic and controlled stimuli from a broad range of cognitive domains. The aim of the Courtois Neuromod Project is to train artificial neural networks using extensive experimental data on individual human brain activity and behaviour.", - "identifier": { - "identifier": "https://doi.org/10.5281/zenodo.8147300", - "identifierSource": "Zenodo DOI" - }, - "dates": [ - { - "date": "2018-12-16 00:00:00", - "type": { - "value": "start date" - } - } - ], - "creators": [ - { - "name": "The Courtois Project on Neuronal Modelling", - "abbreviation": "CNeuroMod" - }, - { - "fullName": "CNeuroMod Citizen Scientist 01", - "lastName": "Citizen Scientist 01", - "firstName": "CNeuroMod", - "affiliations": [ - { - "name": "Independent" - } - ], - "extraProperties": [ - { - "category": "ORCID", - "values": [ - { - "value": "https://orcid.org/0000-0000-0000-0000" - } - ] - } - ] - }, - { - "fullName": "CNeuroMod Citizen Scientist 03", - "firstName": "CNeuroMod", - "lastName": "Citizen Scientist 03", - "affiliations": [ - { - "name": "Independent" - } - ], - "extraProperties": [ - { - "category": "ORCID", - "values": [ - { - "value": "https://orcid.org/0000-0000-0000-0000" - } - ] - } - ] - }, - { - "fullName": "CNeuroMod Citizen Scientist 05", - "firstName": "CNeuroMod", - "lastName": "Citizen Scientist 05", - "affiliations": [ - { - "name": "Independent" - } - ], - "extraProperties": [ - { - "category": "ORCID", - "values": [ - { - "value": "https://orcid.org/0000-0000-0000-0000" - } - ] - } - ] - } - ], - "types": [ - { - "information": { - "value": "fMRI, MRI, DTI" - } - }, - { - "information": { - "value": "Basic demographic" - } - } - ], - "version": "2022", - "privacy": "open", - "licenses": [ - { - "name": "CC0" - } - ], - "distributions": [ - { - "formats": [ - "BIDS", - "NIFTI " - ], - "size": 990, - "unit": { - "value": "GB" - }, - "access": { - "landingPage": "https://docs.cneuromod.ca/en/latest/index.html", - "authorizations": [ - { - "value": "public" - } - ] - } - } - ], - "isAbout": [ - { - "identifier": { - "identifier": "https://www.ncbi.nlm.nih.gov/taxonomy/9606", - "identifierSource": "NCBI Taxonomy Database" - }, - "name": "Homo sapiens" - }, - { - "name": "Adult" - } - ], - "aggregation": "instance of dataset", - "dimensions": [ - { - "name": { - "value": "Structural MRI" - }, - "description": "T1-weighted MPRAGE 3D sagittal, T2-weighted FSE (SPACE) 3D sagittal, Diffusion-weighted 2D axial, gradient-echo magnetization-transfer 3D, gradient-echo proton density 3D, gradient-echo T1-weighted 3D, MP2RAGE 3D, Susceptibility-weighted 3D" - }, - { - "name": { - "value": "Functional MRI" - }, - "description": "resting BOLD, tasks BOLD" - } - ], - "acknowledges": [ - { - "name": "Grants", - "funders": [ - { - "name": "Courtois Foundation" - } - ] - } - ], - "keywords": [ - { - "value": "Human Connectome Project tasks" - }, - { - "value": "movies" - }, - { - "value": "structural MRI" - }, - { - "value": "fMRI" - }, - { - "value": "videogame" - }, - { - "value": "vision" - }, - { - "value": "multimodal" - }, - { - "value": "naturalistic tasks" - }, - { - "value": "language" - } - ], - "extraProperties": [ - { - "category": "subjects", - "values": [ - { - "value": "3" - } - ] - }, - { - "category": "files", - "values": [ - { - "value": "42001" - } - ] - }, - { - "category": "CONP_status", - "values": [ - { - "value": "Canadian" - } - ] - }, - { - "category": "origin_consortium", - "values": [ - { - "value": "The Courtois Project on Neuronal Modelling" - } - ] - }, - { - "category": "origin_institution", - "values": [ - { - "value": "CRIUGM" - } - ] - }, - { - "category": "origin_city", - "values": [ - { - "value": "Montreal" - } - ] - }, - { - "category": "origin_province", - "values": [ - { - "value": "Quebec" - } - ] - }, - { - "category": "origin_country", - "values": [ - { - "value": "Canada" - } - ] - }, - { - "category": "logo", - "values": [ - { - "value": "https://www.cneuromod.ca/images/cneuromod_logo.svg" - } - ] - }, - { - "category": "contact", - "values": [ - { - "value": "Courtois NeuroMod team, courtois.neuromod@gmail.com" - } - ] - }, - { - "category": "derivedFrom", - "values": [ - { - "value": "The Courtois Project on Neuronal Modelling - Raw data - sub-01, sub-03, sub-05" - } - ] - }, - { - "category": "parent_dataset_id", - "values": [ - { - "value": "https://doi.org/10.5281/zenodo.8147300" - } - ] - }, - { - "category": "REB_statement", - "values": [ - { - "value": "In submitting this dataset for inclusion, I declare that local law or a relevant institutional authorization otherwise enables the deposit of these data in an open-access portal." - } - ] - } - ] -} \ No newline at end of file diff --git a/README.md b/README.md deleted file mode 100644 index 5b48191..0000000 --- a/README.md +++ /dev/null @@ -1,31 +0,0 @@ -# [Courtois NeuroMod - preprocessed](https://www.cneuromod.ca/) - -## Overview - -The Courtois project on Neural Modelling (["Courtois NeuroMod"](https://www.cneuromod.ca/)) is a dense fMRI database that is being collected on 6 subjects since 2018. Subjects are scanned regularly, up to several times a week, using the 3T Siemens PrismaFit scanner (64-channel head-neck coil, accelerated simultaneous multi-slice, gradient echo-planar imaging sequence) and both naturalistic and controlled stimuli from a broad range of cognitive domains. The aim of the Courtois Neuromod Project is to train artificial neural networks using extensive experimental data on individual human brain activity and behaviour. - -## Participants - -In an effort to accelerate discovery through Citizen Science, participants 01, 03, and 05 in the Courtois NeuroMod project have decided and consented to openly share their data with the scientific community to advance research at the interface of neuroscience and artificial intelligence. - -Data for all 6 subjects in Courtois NeuroMod project are accessible through registered access and institutional data transfer agreement. For more information please visit our [homepage](https://www.cneuromod.ca/). - -## Datasets - -Datasets will be updated with each new CNeuroMod data release. This dataset contains the Courtois NeuroMod [preprocessed data derivatives](https://github.com/courtois-neuromod/cneuromod.processed) (including from the fMRIprep LTS pipeline) but raw data are also available for the same three participants in [this dataset](). ​Details on sequences, processing workflow, and datasets can be found in the [Courtois Neuromod documentation](http://docs.cneuromod.ca/). - -## License - -The CNeuroMod data and derivatives of these data provided by the CNeuroMod team (e.g., preprocessed data listed above) are shared under a [CC0 license](https://creativecommons.org/publicdomain/zero/1.0/legalcode) that is owned by the CNeuroMod team and the participants listed above. - -## Team and funding - -The Courtois NeuroMod project is lead by a team based at the [Centre de Recherche de l’institut Universitaire de Gériatrie de Montréal](https://criugm.qc.ca/en/) (CRIUGM) and the University of Montreal. The project benefits from key collaborations with teams from around the world. For a full list of contributors please see [this page](https://docs.cneuromod.ca/en/latest/AUTHORS.html). - -The project is made possible by a generous donation by the Courtois Foundation to [Pierre Bellec](https://simexp.github.io/lab-website/). - -## How to cite - -We kindly ask that all publications using CNeuroMod datasets include the following paragraph in their acknowledgement section: - -The Courtois project on neural modelling was made possible by a generous donation from the Courtois foundation, administered by the Fondation Institut Gériatrie Montréal at CIUSSS du Centre-Sud-de-l’île-de-Montréal and the University of Montreal. The Courtois NeuroMod team is based at “Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal”, with several other institutions involved. See the CNeuroMod documentation for an up-to-date list of contributors (https://docs.cneuromod.ca). From a6ebfb9ed456c421671bb8da1bdd1f1f584c8a8d Mon Sep 17 00:00:00 2001 From: "Emmet A. O'Brien" <48991949+emmetaobrien@users.noreply.github.com> Date: Fri, 21 Jul 2023 18:57:06 -0400 Subject: [PATCH 6/7] Add files via upload --- DATS.json | 293 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ README.md | 39 ++++++++ 2 files changed, 332 insertions(+) create mode 100644 DATS.json create mode 100644 README.md diff --git a/DATS.json b/DATS.json new file mode 100644 index 0000000..5a6c235 --- /dev/null +++ b/DATS.json @@ -0,0 +1,293 @@ +{ + "title": "The Courtois Project on Neuronal Modelling - Preprocessed data - sub-01, sub-03, sub-05 (Alpha release)", + "description": "The Courtois project on Neural Modelling (https://www.cneuromod.ca/) is a dense fMRI database that is being collected on 6 subjects since 2018. Subjects are scanned regularly, up to several times a week, using the 3T Siemens PrismaFit scanner (64-channel head-neck coil, accelerated simultaneous multi-slice, gradient echo-planar imaging sequence) and both naturalistic and controlled stimuli from a broad range of cognitive domains. The aim of the Courtois Neuromod Project is to train artificial neural networks using extensive experimental data on individual human brain activity and behaviour.", + "identifier": { + "identifier": "https://doi.org/10.5281/zenodo.8164368", + "identifierSource": "Zenodo DOI" + }, + "dates": [ + { + "date": "2018-12-16 00:00:00", + "type": { + "value": "start date" + } + } + ], + "creators": [ + { + "name": "The Courtois Project on Neuronal Modelling", + "abbreviation": "CNeuroMod" + }, + { + "fullName": "CNeuroMod Citizen Scientist 01", + "lastName": "Citizen Scientist 01", + "firstName": "CNeuroMod", + "affiliations": [ + { + "name": "Independent" + } + ], + "extraProperties": [ + { + "category": "ORCID", + "values": [ + { + "value": "https://orcid.org/0000-0000-0000-0000" + } + ] + } + ] + }, + { + "fullName": "CNeuroMod Citizen Scientist 03", + "firstName": "CNeuroMod", + "lastName": "Citizen Scientist 03", + "affiliations": [ + { + "name": "Independent" + } + ], + "extraProperties": [ + { + "category": "ORCID", + "values": [ + { + "value": "https://orcid.org/0000-0000-0000-0000" + } + ] + } + ] + }, + { + "fullName": "CNeuroMod Citizen Scientist 05", + "firstName": "CNeuroMod", + "lastName": "Citizen Scientist 05", + "affiliations": [ + { + "name": "Independent" + } + ], + "extraProperties": [ + { + "category": "ORCID", + "values": [ + { + "value": "https://orcid.org/0000-0000-0000-0000" + } + ] + } + ] + } + ], + "types": [ + { + "information": { + "value": "fMRI, MRI, DTI" + } + }, + { + "information": { + "value": "Basic demographic" + } + } + ], + "version": "2022", + "privacy": "open", + "licenses": [ + { + "name": "CC0" + } + ], + "distributions": [ + { + "formats": [ + "BIDS", + "NIFTI " + ], + "size": 990, + "unit": { + "value": "GB" + }, + "access": { + "landingPage": "https://docs.cneuromod.ca/en/latest/index.html", + "authorizations": [ + { + "value": "public" + } + ] + } + } + ], + "isAbout": [ + { + "identifier": { + "identifier": "https://www.ncbi.nlm.nih.gov/taxonomy/9606", + "identifierSource": "NCBI Taxonomy Database" + }, + "name": "Homo sapiens" + }, + { + "name": "Adult" + } + ], + "aggregation": "instance of dataset", + "dimensions": [ + { + "name": { + "value": "Structural MRI" + }, + "description": "T1-weighted MPRAGE 3D sagittal, T2-weighted FSE (SPACE) 3D sagittal, Diffusion-weighted 2D axial, gradient-echo magnetization-transfer 3D, gradient-echo proton density 3D, gradient-echo T1-weighted 3D, MP2RAGE 3D, Susceptibility-weighted 3D" + }, + { + "name": { + "value": "Functional MRI" + }, + "description": "resting BOLD, tasks BOLD" + } + ], + "acknowledges": [ + { + "name": "Grants", + "funders": [ + { + "name": "Courtois Foundation" + } + ] + } + ], + "keywords": [ + { + "value": "Human Connectome Project tasks" + }, + { + "value": "movies" + }, + { + "value": "structural MRI" + }, + { + "value": "fMRI" + }, + { + "value": "videogame" + }, + { + "value": "vision" + }, + { + "value": "multimodal" + }, + { + "value": "naturalistic tasks" + }, + { + "value": "language" + } + ], + "extraProperties": [ + { + "category": "subjects", + "values": [ + { + "value": "3" + } + ] + }, + { + "category": "files", + "values": [ + { + "value": "42001" + } + ] + }, + { + "category": "CONP_status", + "values": [ + { + "value": "Canadian" + } + ] + }, + { + "category": "origin_consortium", + "values": [ + { + "value": "The Courtois Project on Neuronal Modelling" + } + ] + }, + { + "category": "origin_institution", + "values": [ + { + "value": "CRIUGM" + } + ] + }, + { + "category": "origin_city", + "values": [ + { + "value": "Montreal" + } + ] + }, + { + "category": "origin_province", + "values": [ + { + "value": "Quebec" + } + ] + }, + { + "category": "origin_country", + "values": [ + { + "value": "Canada" + } + ] + }, + { + "category": "logo", + "values": [ + { + "value": "https://www.cneuromod.ca/images/cneuromod_logo.svg" + } + ] + }, + { + "category": "contact", + "values": [ + { + "value": "Courtois NeuroMod team, courtois.neuromod@gmail.com" + } + ] + }, + { + "category": "derivedFrom", + "values": [ + { + "value": "The Courtois Project on Neuronal Modelling - Raw data - sub-01, sub-03, sub-05" + } + ] + }, + { + "category": "parent_dataset_id", + "values": [ + { + "value": "https://doi.org/10.5281/zenodo.8147300" + } + ] + }, + { + "category": "REB_statement", + "values": [ + { + "value": "In submitting this dataset for inclusion, I declare that local law or a relevant institutional authorization otherwise enables the deposit of these data in an open-access portal." + } + ] + } + ] +} \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..d7ca939 --- /dev/null +++ b/README.md @@ -0,0 +1,39 @@ +# [Courtois NeuroMod - preprocessed](https://www.cneuromod.ca/) + +## Overview + +The Courtois project on Neural Modelling (["Courtois NeuroMod"](https://www.cneuromod.ca/)) is a dense fMRI database that is being collected on 6 subjects since 2018. Subjects are scanned regularly, up to several times a week, using the 3T Siemens PrismaFit scanner (64-channel head-neck coil, accelerated simultaneous multi-slice, gradient echo-planar imaging sequence) and both naturalistic and controlled stimuli from a broad range of cognitive domains. The aim of the Courtois Neuromod Project is to train artificial neural networks using extensive experimental data on individual human brain activity and behaviour. + +## Participants + +In an effort to accelerate discovery through Citizen Science, participants 01, 03, and 05 in the Courtois NeuroMod project have decided and consented to openly share their data with the scientific community to advance research at the interface of neuroscience and artificial intelligence. + +Data for all 6 subjects in Courtois NeuroMod project are accessible through registered access and institutional data transfer agreement. For more information please visit our [homepage](https://www.cneuromod.ca/). + +## Datasets + +Datasets will be updated with each new CNeuroMod data release. This dataset contains the Courtois NeuroMod [preprocessed data derivatives](https://github.com/courtois-neuromod/cneuromod.processed) (including from the fMRIprep LTS pipeline) but raw data are also available for the same three participants in [this dataset](). ​Details on sequences, processing workflow, and datasets can be found in the [Courtois Neuromod documentation](http://docs.cneuromod.ca/). + +## License + +The CNeuroMod data and derivatives of these data provided by the CNeuroMod team (e.g., preprocessed data listed above) are shared under a [CC0 license](https://creativecommons.org/publicdomain/zero/1.0/legalcode) that is owned by the CNeuroMod team and the participants listed above. + +## Team and funding + +The Courtois NeuroMod project is lead by a team based at the [Centre de Recherche de l’institut Universitaire de Gériatrie de Montréal](https://criugm.qc.ca/en/) (CRIUGM) and the University of Montreal. The project benefits from key collaborations with teams from around the world. For a full list of contributors please see [this page](https://docs.cneuromod.ca/en/latest/AUTHORS.html). + +The project is made possible by a generous donation by the Courtois Foundation to [Pierre Bellec](https://simexp.github.io/lab-website/). + +## How to cite + +We kindly ask that all publications using CNeuroMod datasets include the following paragraph in their acknowledgement section: + +The Courtois project on neural modelling was made possible by a generous donation from the Courtois foundation, administered by the Fondation Institut Gériatrie Montréal at CIUSSS du Centre-Sud-de-l’île-de-Montréal and the University of Montreal. The Courtois NeuroMod team is based at “Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal”, with several other institutions involved. See the CNeuroMod documentation for an up-to-date list of contributors (https://docs.cneuromod.ca). + +## Known issues + +As this is an alpha release of this dataset, we ask that users keep a couple of points in mind: + +1) Some of the data included in this dataset require a GitHub SSH key to download. Instructions on generating and using SSH keys for GitHub can be found on [this page of the GitHub Docs](https://docs.github.com/en/authentication/connecting-to-github-with-ssh/generating-a-new-ssh-key-and-adding-it-to-the-ssh-agent). + +2) In order to track provenance, some sub-directories in this dataset include links to other directories. Right now, the overall structure of these links does not permit recursive installation of the entire dataset using the `datalad install -r` command. **It is therefore recommended** that users install the dataset as described below (in the "Download Using DataLad" section of this page) and then enter directories of interest and execute `datalad get` to fetch specific files. Please [contact the CONP Portal team](https://portal.conp.ca/contact_us) concerning download failures or to sign up for notification of upcoming updates that we expect will resolve these problems. From 7e2d783f9e4bd308f0a29ed336998947255fc058 Mon Sep 17 00:00:00 2001 From: emmetaobrien Date: Sat, 22 Jul 2023 06:34:35 -0400 Subject: [PATCH 7/7] [DATALAD] Recorded changes --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index d7ca939..beb6e2f 100644 --- a/README.md +++ b/README.md @@ -34,6 +34,6 @@ The Courtois project on neural modelling was made possible by a generous donatio As this is an alpha release of this dataset, we ask that users keep a couple of points in mind: -1) Some of the data included in this dataset require a GitHub SSH key to download. Instructions on generating and using SSH keys for GitHub can be found on [this page of the GitHub Docs](https://docs.github.com/en/authentication/connecting-to-github-with-ssh/generating-a-new-ssh-key-and-adding-it-to-the-ssh-agent). +1. Some of the data included in this dataset require a GitHub SSH key to download. Instructions on generating and using SSH keys for GitHub can be found on [this page of the GitHub Docs](https://docs.github.com/en/authentication/connecting-to-github-with-ssh/generating-a-new-ssh-key-and-adding-it-to-the-ssh-agent). -2) In order to track provenance, some sub-directories in this dataset include links to other directories. Right now, the overall structure of these links does not permit recursive installation of the entire dataset using the `datalad install -r` command. **It is therefore recommended** that users install the dataset as described below (in the "Download Using DataLad" section of this page) and then enter directories of interest and execute `datalad get` to fetch specific files. Please [contact the CONP Portal team](https://portal.conp.ca/contact_us) concerning download failures or to sign up for notification of upcoming updates that we expect will resolve these problems. +2. In order to track provenance, some sub-directories in this dataset include links to other directories. Right now, the overall structure of these links does not permit recursive installation of the entire dataset using the `datalad install -r` command. **It is therefore recommended** that users install the dataset as described below (in the "Download Using DataLad" section of this page) and then enter directories of interest and execute `datalad get` to fetch specific files. Please [contact the CONP Portal team](https://portal.conp.ca/contact_us) concerning download failures or to sign up for notification of upcoming updates that we expect will resolve these problems.