Data · dataset · 2020
rt-me-fMRI: A task and resting state dataset for real-time, multi-echo fMRI methods development and validation
Listed in IISH Dataverse
rt-me-fMRI is a multi-echo functional magnetic resonance imaging dataset (N=28 healthy volunteers) with four task-based and two resting state runs.
Description
Its main purpose is to advance the development of methods for real-time multi-echo fMRI analysis with applications in neurofeedback, real-time quality control, and adaptive paradigms, although the variety of experimental task paradigms can support multiple use cases. Tasks include finger tapping, emotional face and shape matching, imagined finger tapping and imagined emotion processing.
Further information is available at github.com/jsheunis/rt-me-fMRI
Links
Where it is published
- Dataverse dataset page dataverse.nl/dataset.xhtml?persistentId=doi%3A10.34894%2FR1TNL8 ↗
landing page · from datasets iisg amsterdam
- DOI doi.org/10.34894/r1tnl8 ↗
DOI / persistent id · from datasets iisg amsterdam
Catalogue records · 1
- Dataverse API dataverse.nl/api/datasets/:persistentId/?persistentId=doi%3A10.34894%2FR1TN… ↗
metadata API · from datasets iisg amsterdam
Topics
- Stated by source
- Engineering · Medicine, Health and Life Sciences · Physics
- From keywords
- Engineering · Life Sciences · Medicine & Health · Physics
- Inferred from text
- Imaging 75% · Magnetic resonance imaging 75%
Provenance · 1 source records, 15 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| IISH Dataverse | doi:10.34894/R1TNL8 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:engineering | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].dataverse_subject:medicine-health-and-life-sciences | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].dataverse_subject:physics | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].local:field:engineering | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].local:field:physics | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[modality].local:modality:imaging | enrichment · datasets iisg amsterdam | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:mri | enrichment · datasets iisg amsterdam | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| description | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /description |
| publication_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| title | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /name |
| updated_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| version_label | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 |