resting-state fMRI data for Normal adults Article Swipe
Whole brain resting-state fMRI data from 227 healthy adults between 18 and 78 years old acquired at a 3T clinical MRI scanner. The tar file contains 227 compressed nifti files. The 1st alphabet in the file names indicates the gender of the volunteers (f for female and m for male). The 2nd and 3rd digits indicate the age of volunteers. The remaining alphabets are randomized to encode individual subjects. The original images were reconstructed into dicom format and converted into nifti file format.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:200638
- OA Status
- green
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W3162278103
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3162278103Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.17632/pt9d2rdv46.2Digital Object Identifier
- Title
-
resting-state fMRI data for Normal adultsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-02-10Full publication date if available
- Authors
-
Tie‐Qiang LiList of authors in order
- Landing page
-
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:200638Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- Concepts
-
Resting state fMRI, State (computer science), Psychology, Artificial intelligence, Computer science, Neuroscience, AlgorithmTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
20Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3162278103 |
|---|---|
| doi | https://doi.org/10.17632/pt9d2rdv46.2 |
| ids.doi | https://doi.org/10.17632/pt9d2rdv46.2 |
| ids.mag | 3162278103 |
| ids.openalex | https://openalex.org/W3162278103 |
| fwci | 0.0 |
| type | article |
| title | resting-state fMRI data for Normal adults |
| biblio.issue | |
| biblio.volume | 2 |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10429 |
| topics[0].field.id | https://openalex.org/fields/28 |
| topics[0].field.display_name | Neuroscience |
| topics[0].score | 0.9890999794006348 |
| topics[0].domain.id | https://openalex.org/domains/1 |
| topics[0].domain.display_name | Life Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2805 |
| topics[0].subfield.display_name | Cognitive Neuroscience |
| topics[0].display_name | EEG and Brain-Computer Interfaces |
| topics[1].id | https://openalex.org/T10241 |
| topics[1].field.id | https://openalex.org/fields/28 |
| topics[1].field.display_name | Neuroscience |
| topics[1].score | 0.9416999816894531 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2805 |
| topics[1].subfield.display_name | Cognitive Neuroscience |
| topics[1].display_name | Functional Brain Connectivity Studies |
| topics[2].id | https://openalex.org/T10581 |
| topics[2].field.id | https://openalex.org/fields/28 |
| topics[2].field.display_name | Neuroscience |
| topics[2].score | 0.916700005531311 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2805 |
| topics[2].subfield.display_name | Cognitive Neuroscience |
| topics[2].display_name | Neural dynamics and brain function |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C66324658 |
| concepts[0].level | 2 |
| concepts[0].score | 0.6351284980773926 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q7316120 |
| concepts[0].display_name | Resting state fMRI |
| concepts[1].id | https://openalex.org/C48103436 |
| concepts[1].level | 2 |
| concepts[1].score | 0.4173531234264374 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q599031 |
| concepts[1].display_name | State (computer science) |
| concepts[2].id | https://openalex.org/C15744967 |
| concepts[2].level | 0 |
| concepts[2].score | 0.392663836479187 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q9418 |
| concepts[2].display_name | Psychology |
| concepts[3].id | https://openalex.org/C154945302 |
| concepts[3].level | 1 |
| concepts[3].score | 0.366334468126297 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[3].display_name | Artificial intelligence |
| concepts[4].id | https://openalex.org/C41008148 |
| concepts[4].level | 0 |
| concepts[4].score | 0.3442569971084595 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[4].display_name | Computer science |
| concepts[5].id | https://openalex.org/C169760540 |
| concepts[5].level | 1 |
| concepts[5].score | 0.20998495817184448 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q207011 |
| concepts[5].display_name | Neuroscience |
| concepts[6].id | https://openalex.org/C11413529 |
| concepts[6].level | 1 |
| concepts[6].score | 0.09947574138641357 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q8366 |
| concepts[6].display_name | Algorithm |
| keywords[0].id | https://openalex.org/keywords/resting-state-fmri |
| keywords[0].score | 0.6351284980773926 |
| keywords[0].display_name | Resting state fMRI |
| keywords[1].id | https://openalex.org/keywords/state |
| keywords[1].score | 0.4173531234264374 |
| keywords[1].display_name | State (computer science) |
| keywords[2].id | https://openalex.org/keywords/psychology |
| keywords[2].score | 0.392663836479187 |
| keywords[2].display_name | Psychology |
| keywords[3].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[3].score | 0.366334468126297 |
| keywords[3].display_name | Artificial intelligence |
| keywords[4].id | https://openalex.org/keywords/computer-science |
| keywords[4].score | 0.3442569971084595 |
| keywords[4].display_name | Computer science |
| keywords[5].id | https://openalex.org/keywords/neuroscience |
| keywords[5].score | 0.20998495817184448 |
| keywords[5].display_name | Neuroscience |
| keywords[6].id | https://openalex.org/keywords/algorithm |
| keywords[6].score | 0.09947574138641357 |
| keywords[6].display_name | Algorithm |
| language | en |
| locations[0].id | pmh:oai:easy.dans.knaw.nl:easy-dataset:200638 |
| locations[0].is_oa | False |
| locations[0].source | |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | submittedVersion |
| locations[0].raw_type | |
| locations[0].license_id | |
| locations[0].is_accepted | False |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:200638 |
| locations[1].id | pmh:oai:figshare.com:article/13888068 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400572 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | OPAL (Open@LaTrobe) (La Trobe University) |
| locations[1].source.host_organization | https://openalex.org/I196829312 |
| locations[1].source.host_organization_name | La Trobe University |
| locations[1].source.host_organization_lineage | https://openalex.org/I196829312 |
| locations[1].license | cc-by |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | Dataset |
| locations[1].license_id | https://openalex.org/licenses/cc-by |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | |
| locations[2].id | mag:3162278103 |
| locations[2].is_oa | False |
| locations[2].source | |
| locations[2].license | |
| locations[2].pdf_url | |
| locations[2].version | |
| locations[2].raw_type | |
| locations[2].license_id | |
| locations[2].is_accepted | False |
| locations[2].is_published | |
| locations[2].raw_source_name | |
| locations[2].landing_page_url | https://data.mendeley.com/datasets/pt9d2rdv46 |
| locations[3].id | doi:10.17632/pt9d2rdv46.2 |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S7407050775 |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | Mendeley Data |
| locations[3].source.host_organization | |
| locations[3].source.host_organization_name | |
| locations[3].source.host_organization_lineage | |
| locations[3].license | cc-by |
| locations[3].pdf_url | |
| locations[3].version | |
| locations[3].raw_type | dataset |
| locations[3].license_id | https://openalex.org/licenses/cc-by |
| locations[3].is_accepted | False |
| locations[3].is_published | |
| locations[3].raw_source_name | |
| locations[3].landing_page_url | https://doi.org/10.17632/pt9d2rdv46.2 |
| indexed_in | datacite |
| authorships[0].author.id | https://openalex.org/A5020377697 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-4866-5904 |
| authorships[0].author.display_name | Tie‐Qiang Li |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Tie-Qiang Li |
| authorships[0].is_corresponding | True |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | resting-state fMRI data for Normal adults |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T10429 |
| primary_topic.field.id | https://openalex.org/fields/28 |
| primary_topic.field.display_name | Neuroscience |
| primary_topic.score | 0.9890999794006348 |
| primary_topic.domain.id | https://openalex.org/domains/1 |
| primary_topic.domain.display_name | Life Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2805 |
| primary_topic.subfield.display_name | Cognitive Neuroscience |
| primary_topic.display_name | EEG and Brain-Computer Interfaces |
| related_works | https://openalex.org/W2999152164, https://openalex.org/W2598237249, https://openalex.org/W2013360825, https://openalex.org/W2098316546, https://openalex.org/W2612357697, https://openalex.org/W2011538573, https://openalex.org/W2580341853, https://openalex.org/W2473966307, https://openalex.org/W2052703970, https://openalex.org/W2897142681, https://openalex.org/W1997755849, https://openalex.org/W2363301524, https://openalex.org/W2026157789, https://openalex.org/W2776829397, https://openalex.org/W3187648656, https://openalex.org/W2334226988, https://openalex.org/W2348656987, https://openalex.org/W3030796967, https://openalex.org/W3022311422, https://openalex.org/W3197265364 |
| cited_by_count | 0 |
| locations_count | 4 |
| best_oa_location.id | pmh:oai:figshare.com:article/13888068 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400572 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | OPAL (Open@LaTrobe) (La Trobe University) |
| best_oa_location.source.host_organization | https://openalex.org/I196829312 |
| best_oa_location.source.host_organization_name | La Trobe University |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I196829312 |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | Dataset |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | |
| primary_location.id | pmh:oai:easy.dans.knaw.nl:easy-dataset:200638 |
| primary_location.is_oa | False |
| primary_location.source | |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | submittedVersion |
| primary_location.raw_type | |
| primary_location.license_id | |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:200638 |
| publication_date | 2021-02-10 |
| publication_year | 2021 |
| referenced_works_count | 0 |
| abstract_inverted_index.a | 17 |
| abstract_inverted_index.m | 47 |
| abstract_inverted_index.(f | 43 |
| abstract_inverted_index.18 | 10 |
| abstract_inverted_index.3T | 18 |
| abstract_inverted_index.78 | 12 |
| abstract_inverted_index.at | 16 |
| abstract_inverted_index.in | 33 |
| abstract_inverted_index.of | 40, 58 |
| abstract_inverted_index.to | 65 |
| abstract_inverted_index.1st | 31 |
| abstract_inverted_index.227 | 6, 26 |
| abstract_inverted_index.2nd | 51 |
| abstract_inverted_index.3rd | 53 |
| abstract_inverted_index.MRI | 20 |
| abstract_inverted_index.The | 22, 30, 50, 60, 69 |
| abstract_inverted_index.age | 57 |
| abstract_inverted_index.and | 11, 46, 52, 77 |
| abstract_inverted_index.are | 63 |
| abstract_inverted_index.for | 44, 48 |
| abstract_inverted_index.old | 14 |
| abstract_inverted_index.tar | 23 |
| abstract_inverted_index.the | 34, 38, 41, 56 |
| abstract_inverted_index.data | 4 |
| abstract_inverted_index.fMRI | 3 |
| abstract_inverted_index.file | 24, 35, 81 |
| abstract_inverted_index.from | 5 |
| abstract_inverted_index.into | 74, 79 |
| abstract_inverted_index.were | 72 |
| abstract_inverted_index.Whole | 0 |
| abstract_inverted_index.brain | 1 |
| abstract_inverted_index.dicom | 75 |
| abstract_inverted_index.names | 36 |
| abstract_inverted_index.nifti | 28, 80 |
| abstract_inverted_index.years | 13 |
| abstract_inverted_index.adults | 8 |
| abstract_inverted_index.digits | 54 |
| abstract_inverted_index.encode | 66 |
| abstract_inverted_index.female | 45 |
| abstract_inverted_index.files. | 29 |
| abstract_inverted_index.format | 76 |
| abstract_inverted_index.gender | 39 |
| abstract_inverted_index.images | 71 |
| abstract_inverted_index.male). | 49 |
| abstract_inverted_index.between | 9 |
| abstract_inverted_index.format. | 82 |
| abstract_inverted_index.healthy | 7 |
| abstract_inverted_index.acquired | 15 |
| abstract_inverted_index.alphabet | 32 |
| abstract_inverted_index.clinical | 19 |
| abstract_inverted_index.contains | 25 |
| abstract_inverted_index.indicate | 55 |
| abstract_inverted_index.original | 70 |
| abstract_inverted_index.scanner. | 21 |
| abstract_inverted_index.alphabets | 62 |
| abstract_inverted_index.converted | 78 |
| abstract_inverted_index.indicates | 37 |
| abstract_inverted_index.remaining | 61 |
| abstract_inverted_index.subjects. | 68 |
| abstract_inverted_index.compressed | 27 |
| abstract_inverted_index.individual | 67 |
| abstract_inverted_index.randomized | 64 |
| abstract_inverted_index.volunteers | 42 |
| abstract_inverted_index.volunteers. | 59 |
| abstract_inverted_index.reconstructed | 73 |
| abstract_inverted_index.resting-state | 2 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5020377697 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 1 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.550000011920929 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile |