The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments - Test2 - elhamkhani - TriplyDB

The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments

The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments

http://www.wikidata.org/entity/Q28598083

about

A phenome-wide examination of neural and cognitive function.A Practical Guide for Improving Transparency and Reproducibility in Neuroimaging Research A Hitchhiker's Guide to Functional Magnetic Resonance Imaging Cyberinfrastructure for Open Science at the Montreal Neurological Institute Sharing brain mapping statistical results with the neuroimaging data model A very simple, re-executable neuroimaging publication Progress toward openness, transparency, and reproducibility in cognitive neuroscience What Has Replication Ever Done for Us? Insights from Neuroimaging of Speech Perception.A studyforrest extension, simultaneous fMRI and eye gaze recordings during prolonged natural stimulation.A studyforrest extension, retinotopic mapping and localization of higher visual areas.The visual white matter: The application of diffusion MRI and fiber tractography to vision science Neuroimaging, Genetics, and Clinical Data Sharing in Python Using the CubicWeb Framework.Ultra high-field (7 T) multi-resolution fMRI data for orientation decoding in visual cortex.The Healthy Brain Network Serial Scanning Initiative: a resource for evaluating inter-individual differences and their reliabilities across scan conditions and sessions The real-time fMRI neurofeedback based stratification of Default Network Regulation Neuroimaging data repository.Best practices in data analysis and sharing in neuroimaging using MRI.Improving data availability for brain image biobanking in healthy subjects: Practice-based suggestions from an international multidisciplinary working group.T1-weighted in vivo human whole brain MRI dataset with an ultrahigh isotropic resolution of 250 μm BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods.Computational approaches to fMRI analysis Hierarchical Event Descriptors (HED): Semi-Structured Tagging for Real-World Events in Large-Scale EEG.Science in the cloud (SIC): A use case in MRI connectomics.MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites.NAPR: a Cloud-Based Framework for Neuroanatomical Age Prediction.Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank.Toward standard practices for sharing computer code and programs in neuroscience.Preprocessed Consortium for Neuropsychiatric Phenomics dataset.Enhancing reproducibility in scientific computing: Metrics and registry for Singularity containers.An open resource for transdiagnostic research in pediatric mental health and learning disorders.A Shared Vision for Machine Learning in Neuroscience.The Influence of Study-Level Inference Models and Study Set Size on Coordinate-Based fMRI Meta-Analyses.Porcupine: A visual pipeline tool for neuroimaging analysis.Experimental Directory Structure (Exdir): An Alternative to HDF5 Without Introducing a New File Format.The Scientific Filesystem.Value generalization in human avoidance learning.MEG-BIDS, the brain imaging data structure extended to magnetoencephalography.Neural Responses to Naturalistic Clips of Behaving Animals in Two Different Task Contexts.Individual Brain Charting, a high-resolution fMRI dataset for cognitive mapping.Multi-frequency electrical impedance tomography and neuroimaging data in stroke patients.Modeling Semantic Encoding in a Common Neural Representational Space

P2860

Q27031538-7A832549-772F-4BC7-8288-F956EF7DE3F7 Q27826377-46CF5FBD-5EB4-41C0-B079-E54352C03A2C Q28066281-29CD232F-D840-47BE-A113-1EF4C33D533A Q28555091-00714026-8FE6-4DFD-8EF5-DFF09FE8DA15 Q28589376-3E9E6F5F-4150-4DAF-A699-A5A28E6C2D11 Q29014815-3BDCE01D-88F3-4FE3-A938-C86DA50553CB Q29994537-E8F88131-E28E-4466-A9B8-619911FFFCE8 Q30363230-785C2D45-CD6A-43AF-8D6F-173AB33ED5C3 Q30370108-D0404FE4-4396-4ECC-82B4-0565ACBDB0F6 Q30826446-A081878A-B76A-4A81-BD4F-F8D5785BCD88 Q30839298-A20AF3CA-232E-4AB6-BDCB-9C0D77EF44E2 Q30841961-F25A3BE7-B4E5-444D-9464-6E7D975DC94E Q30854728-BE667203-185C-420E-8F3F-40BCA2C06CBB Q30855362-6912B5F6-16D7-4704-81EC-E88807F9288A Q31141992-A42D2D6C-B8DB-4CDF-82BC-2794EFC11419 Q31165126-9DBFD085-7AC0-4CAE-A648-AAA9FDE85532 Q31165329-EC45DBD6-453D-46FC-A20D-BE9F18C13064 Q34553236-37F9EC99-F30A-4751-B191-B61784EBF134 Q36302542-40636F7D-F0B6-41DF-9A06-D44E0207194B Q38225906-B300DEA2-D45F-4106-A6C3-5A388365AF65 Q38385428-3F2BBDF6-3BAE-42BF-BD39-12FA445EBA80 Q38887414-5F872438-D4C6-4A00-B4FE-6E16E709D616 Q41830563-5C056F9B-5218-4DE1-A8ED-1F45561160B1 Q42695707-D3D581E1-0465-41FE-9581-D7B4BDB973C3 Q45944400-8781DBBC-DABD-481C-8B52-1E62FCD26EA7 Q46320906-FADAFA5C-15ED-452B-8C9E-42B33FE5F45E Q47097291-75795D3A-FD7F-4808-B600-C52B212581A5 Q47111098-7A96277E-8BCD-4DDE-B5DB-D87356935DA3 Q47142284-D177F769-83D2-4755-9033-22410DC9F705 Q47551459-B4C0428D-F9A3-46B5-9C02-46026938D46D Q49027817-0C64C454-DE04-44FB-BA1C-555535EF0E77 Q53823195-6750C1F5-7A23-480B-B0D9-5F2C19C2492F Q53828031-5DBD4839-09DA-4847-A7D5-685F241E4224 Q55030337-CC1C6AA7-1D02-432E-A156-D0D1A5D22F97 Q55064935-95ABFD0A-6B35-4DF3-92D7-62A641F5883B Q55378492-8FF5B758-0C9C-43E7-BBD4-EA83F326A454 Q55394652-5CE07A4C-748C-42E0-B343-D12BB430F20A Q55420324-6CF88752-1DA4-4440-BD2B-D1EE6906E0BA Q55432942-84CEFA63-B467-44BD-A270-AFB387BD01DD Q56366758-F43F8927-83F1-4C60-81D0-EBEB4F905363

P2860

The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments

http://www.wikidata.org/entity/Q28598083

description

2016 nî lūn-bûn

@nan

2016 թուականի Յունիսին հրատարակուած գիտական յօդուած

@hyw

2016 թվականի հունիսին հրատարակված գիտական հոդված

@hy

2016年の論文

@ja

2016年論文

@yue

2016年論文

@zh-hant

2016年論文

@zh-hk

2016年論文

@zh-mo

2016年論文

@zh-tw

2016年论文

@wuu

name

The brain imaging data structu ...... ts of neuroimaging experiments

@ast

The brain imaging data structu ...... ts of neuroimaging experiments

@en

The brain imaging data structu ...... ts of neuroimaging experiments

@nl

type

label

The brain imaging data structu ...... ts of neuroimaging experiments

@ast

The brain imaging data structu ...... ts of neuroimaging experiments

@en

The brain imaging data structu ...... ts of neuroimaging experiments

@nl

prefLabel

The brain imaging data structu ...... ts of neuroimaging experiments

@ast

The brain imaging data structu ...... ts of neuroimaging experiments

@en

The brain imaging data structu ...... ts of neuroimaging experiments

@nl

P1433

Q28598083-4D27EE95-C81B-4EA9-B0F3-8C1ABEAFD360

P1476

Q28598083-22C15DAC-0D6E-4C32-BF14-719E531AB3D5

P2093

Q28598083-0348D022-050F-4758-9E6B-51FEFFA51393

Q28598083-142EC832-1EA1-4FF0-9A3C-0025D5D906D2

Q28598083-1BDC54E0-1D18-4FBF-8AEF-FB24782C78AC

Q28598083-213CBE0D-EE17-4321-9D23-34915D3DAB91

Q28598083-287473C0-2120-4500-86DD-8E94BDC3C24C

Q28598083-33B13A11-F5D2-4BC8-916B-0AE6A138DB8A

Q28598083-5659F676-0FAB-4CAD-9D4B-2EE73E1FEE10

Q28598083-591DC2EB-B87B-466A-ACE2-F19E68EB2F14

Q28598083-6C480F70-E872-4A53-B630-D7D81BAF31CD

Q28598083-78C0C003-4814-4644-93C7-3C57886B0C64

P275

Q28598083-3de8d02f-475e-dea9-630f-10e4c88d3b8d

P2860

Q28598083-0507CFA5-861F-4079-AB04-03EB8EE4D238

Q28598083-06D8685D-24DD-4DA4-A25A-243A512E901A

Q28598083-08333BCF-EBAC-484E-BCFC-48BD62BD711D

Q28598083-14C86237-3F92-4654-9780-E3309F1DF292

Q28598083-33C3961F-ED44-4CE1-B2C3-EE04AADDD503

Q28598083-451F02ED-AD64-4F25-B80E-4E03151126C0

Q28598083-47A8D122-5791-4A8E-909A-518FED891EA4

Q28598083-482379C8-E539-488E-B7FD-BC48AA8CA013

Q28598083-6750F99A-7065-44A4-BD5D-12268D02D343

Q28598083-734019ED-ED1C-409F-948A-B4CD0BD64888

P2888

Q28598083-028F6221-476F-4CB0-B39E-E4F93850414D

P304

Q28598083-1EBA67D9-5292-4682-93C5-98E42BF62DDE

P31

Q28598083-C0E46581-55A9-4B92-BE0F-4FB03E3FD1B2

P3181

Q28598083-CACF3F29-066F-4F2E-97EB-6B8CEBDE732E

P356

Q28598083-51CC0099-A098-4310-A575-95D5429C3CCA

P407

Q28598083-E3217ADF-570B-4833-BE96-90C145E35C69

P478

Q28598083-56437A0D-5581-43FD-9DDE-8E831D06B313

P50

Q28598083-026D3E2A-C64C-4D66-8F4E-DF7406B67E05

Q28598083-0E9A8FE4-AFEF-442D-A923-E417DBBDB61C

Q28598083-7B7FB6AB-1570-4F90-90A1-A53F1C41BAB6

Q28598083-7DFCCD74-EBEB-4D35-9399-D93EFD787FE0

Q28598083-82D9FDE8-9A9F-468C-9D2C-5A3A70D557BC

Q28598083-8CCCF9F8-6696-402C-A43A-79E0762C11F4

Q28598083-8FBB35B3-4AF8-4B17-AC60-8F75966387CE

Q28598083-91A6B38D-48CB-4FDB-A4A8-DC86018855B6

Q28598083-A1D8E0A9-3AC3-423C-8F12-D6737BF20F7F

Q28598083-B9A5B2C0-1735-4879-92EC-252AF00A080B

P577

Q28598083-32AB4BD6-52D8-4B8C-8335-8ACE19DF0942

P6179

Q28598083-143EFEF1-73A3-4B87-AB9A-AD90E756C430

P698

Q28598083-1FDECBAD-B053-4508-86F8-CBF94BE9D09D

P921

Q28598083-09FF0703-44F2-4485-8AEE-CCA475088A69

Q28598083-AF88F0FC-FA43-41DC-8793-86D16B51FCB8

P932

Q28598083-ABE739C4-DDE9-4AA8-8E3C-011F71763D0C

P3181

P356

P1433

Scientific Data

P1476

The brain imaging data structu ...... ts of neuroimaging experiments

@en

P2093

Ariel Rokem

http://www.w3.org/2001/XMLSchema#string

B Nolan Nichols

http://www.w3.org/2001/XMLSchema#string

Gunnar Schaefer

http://www.w3.org/2001/XMLSchema#string

Jessica A Turner

http://www.w3.org/2001/XMLSchema#string

John Pellman

http://www.w3.org/2001/XMLSchema#string

R Cameron Craddock

http://www.w3.org/2001/XMLSchema#string

Samir Das

http://www.w3.org/2001/XMLSchema#string

Tibor Auer

http://www.w3.org/2001/XMLSchema#string

Tristan Glatard

http://www.w3.org/2001/XMLSchema#string

Vanessa Sochat

http://www.w3.org/2001/XMLSchema#string

P275

Creative Commons Attribution 4.0 International

P2860

Toward open sharing of task-based fMRI data: the OpenfMRI project

The cognitive atlas: toward a knowledge foundation for cognitive neuroscience

Neuroinformatics Software Applications Supporting Electronic Data Capture, Management, and Sharing for the Neuroimaging Community

Making Data Sharing Count: A Publication-Based Solution

Automatic analysis (aa): efficient neuroimaging workflows and parallel processing using Matlab and XML

Towards structured sharing of raw and derived neuroimaging data across existing resources

Neuroinformatics Database (NiDB)--a modular, portable database for the storage, analysis, and sharing of neuroimaging data

The cognitive paradigm ontology: design and application

PyXNAT: XNAT in Python

COINS: An Innovative Informatics and Neuroimaging Tool Suite Built for Large Heterogeneous Datasets

P2888

P304

160044

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P3181

215608

http://www.w3.org/2001/XMLSchema#string

P356

10.1038/SDATA.2016.44

http://www.w3.org/2001/XMLSchema#string

P407

P478

3

http://www.w3.org/2001/XMLSchema#string

P50

Russell A. Poldrack

Chris Gorgolewski

Vince D. Calhoun

Jean-Baptiste Poline

Thomas E. Nichols

Gaël Varoquaux

Satrajit S. Ghosh

Daniel A Handwerker

P577

2016-06-21T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P6179

1045489959

http://www.w3.org/2001/XMLSchema#string

P698

27326542

http://www.w3.org/2001/XMLSchema#string

P921

P932

4978148

http://www.w3.org/2001/XMLSchema#string