{"dataset":{"id":"44336","dataset_id":"on006377","name":"InclusionStudy","description":"This dataset quantifies the impact of hair and skin characteristics on functional near-infrared spectroscopy (fNIRS) signal quality, with a focus on enhancing inclusivity in neuroimaging research. The study examines how individual physiological variations affect fNIRS measurements across diverse participant populations, providing empirical evidence for optimizing signal acquisition and preprocessing in this neuroimaging modality.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on006377","concept_doi":"10.82901/nemar.on006377","latest_version_doi":"10.82901/nemar.on006377.v1.0.0","created_at":"2026-06-18 19:04:24","updated_at":"2026-07-10 23:02:53","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"InclusionStudy\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Meryem A. Yücel\": {\n      \"orcid\": \"0000-0002-4291-2847\"\n    },\n    \"Jessica E. Anderson\": {\n      \"orcid\": \"0000-0002-4549-8717\"\n    },\n    \"De'Ja Rogers\": {},\n    \"Parisa Hajirahimi\": {},\n    \"Parya Farzam\": {},\n    \"Yuanyuan Gao\": {},\n    \"Rini I. Kaplan\": {\n      \"orcid\": \"0000-0003-3760-7335\"\n    },\n    \"Emily J. Braun\": {\n      \"orcid\": \"0000-0003-4687-8516\"\n    },\n    \"Nishaat Mukadam\": {\n      \"orcid\": \"0000-0001-9674-3519\"\n    },\n    \"Sudan Duwadi\": {},\n    \"Laura Carlton\": {},\n    \"David Beeler\": {},\n    \"Lindsay K. Butler\": {},\n    \"Erin Carpenter\": {},\n    \"Jaimie Girnis\": {},\n    \"John Wilson\": {},\n    \"Vaibhav Tripathi\": {},\n    \"Yiwen Zhang\": {\n      \"orcid\": \"0009-0009-1912-0583\"\n    },\n    \"Bettina Sorger\": {\n      \"orcid\": \"0000-0003-1393-3144\"\n    },\n    \"Alexander von Lühmann\": {\n      \"orcid\": \"0000-0002-4995-293X\"\n    },\n    \"David C. Somers\": {\n      \"orcid\": \"0000-0002-4169-5895\"\n    },\n    \"Alice Cronin-Golomb\": {},\n    \"Swathi Kiran\": {},\n    \"Terry D. Ellis\": {\n      \"orcid\": \"0000-0001-7067-4527\"\n    },\n    \"David A. Boas\": {}\n  },\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.18112/openneuro.ds006377.v1.0.2\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on006377\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataexplorer/detail?dataset_id=on006377\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.1038/s41562-025-02274-7\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDescribedBy\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"Meta Reality Labs (formerly Facebook Technologies, LLC)\"\n    },\n    {\n      \"funder_name\": \"Meta Reality Labs\"\n    },\n    {\n      \"funder_name\": \"NIH\",\n      \"award_number\": \"U01EB0239856\"\n    },\n    {\n      \"funder_name\": \"NSF\",\n      \"award_number\": \"DGE-1633516\",\n      \"award_title\": \"Research Traineeship Program\"\n    },\n    {\n      \"funder_name\": \"Netherlands Organization for Scientific Research\",\n      \"award_number\": \"VI.Vidi.191.210\"\n    },\n    {\n      \"funder_name\": \"German Federal Ministry of Education and Research\",\n      \"award_number\": \"BIFOLD24B\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"modalities\": [\n    \"nirs\"\n  ],\n  \"resource_type_specific\": \"fNIRS Dataset\",\n  \"sizes\": [\n    \"1.5 GB (725 files)\"\n  ],\n  \"formats\": [\n    \".json\",\n    \".m\",\n    \".mat\",\n    \".md\",\n    \".snirf\",\n    \".tsv\",\n    \".yml\"\n  ],\n  \"description\": \"This dataset quantifies the impact of hair and skin characteristics on functional near-infrared spectroscopy (fNIRS) signal quality, with a focus on enhancing inclusivity in neuroimaging research. The study examines how individual physiological variations affect fNIRS measurements across diverse participant populations, providing empirical evidence for optimizing signal acquisition and preprocessing in this neuroimaging modality.\",\n  \"keywords\": [\n    {\n      \"term\": \"fNIRS\"\n    },\n    {\n      \"term\": \"functional near-infrared spectroscopy\"\n    },\n    {\n      \"term\": \"signal quality\"\n    },\n    {\n      \"term\": \"skin characteristics\"\n    },\n    {\n      \"term\": \"hair characteristics\"\n    },\n    {\n      \"term\": \"neuroimaging inclusivity\"\n    },\n    {\n      \"term\": \"optical neuroimaging\"\n    }\n  ],\n  \"source_hash\": \"a60d280838382e3b0ac2a8c3c0fc29bedec655cb1cb4e5f788daa4587f21f8bf\"\n}","last_activity_at":"2026-06-18 19:04:24","source":"openneuro","source_id":"ds006377","subject_count":115,"modalities":"nirs","age_min":18,"age_max":74,"file_size":1486178012,"total_files":3954,"tasks":"001RestingLH,002RestingRH,003RestingLH,004RestingRH,009BallLH,010BallRH","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Meryem A. Yücel, Jessica E. Anderson, De'Ja Rogers, Parisa Hajirahimi, Parya Farzam, Yuanyuan Gao, Rini I. Kaplan, Emily J. Braun, Nishaat Mukadam, Sudan Duwadi, Laura Carlton, David Beeler, Lindsay K. Butler, Erin Carpenter, Jaimie Girnis, John Wilson, Vaibhav Tripathi, Yiwen Zhang, Bettina Sorger, Alexander von Lühmann, David C. Somers, Alice Cronin-Golomb, Swathi Kiran, Terry D. Ellis, David A. Boas","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006377-blue)](https://doi.org/10.82901/nemar.on006377)\n\n<!-- nemar:provenance -->\n## Provenance\n\nThis dataset is mirrored on NEMAR from OpenNeuro.\n\n- Source: [ds006377](https://openneuro.org/datasets/ds006377)\n- DOI: [10.18112/openneuro.ds006377.v1.0.2](https://doi.org/10.18112/openneuro.ds006377.v1.0.2)\n","bids_version":"1.8.0","sessions_count":null,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-09-06 03:23:41","zarr_store_count":0,"zarr_index_etag":"1953e03482cbea4177bd0d0317091e33","zarr_source_commit":"3b99cce5bceb4ede727f746952336e15c34bed86","archive_status":"ready","archive_size":1022333054,"archive_retry_count":0,"records_status":"ready","archive_skip_reason":null,"zarr_errors":0,"zarr_failure_count":0,"zarr_deterministic":0,"zarr_failed_at":null,"num_dataset_citations":0,"num_datapaper_citations":0,"n_channels":null,"electrode_system":null,"has_hed":0,"hed_version":null,"is_exemplar":0,"bytes_present":1479911385,"data_complete":1,"withdrawn_at":null,"withdrawn_reason":null,"archive_complete":null,"archive_absent_files":null,"archive_declared_files":null,"zarr_pool_breaks":0,"total_recording_duration":null,"recording_duration_min":null,"recording_duration_max":null,"recording_count":0,"recordings_unavailable":0,"recordings_measured":0,"channel_count_min":null,"channel_count_max":null,"sampling_frequency":null,"power_line_frequency":null,"eeg_reference":null,"placement_scheme":null,"sweep_stamps":"{\"enrichment_updated_at\":\"2026-06-18 19:14:39\",\"metadata_updated_at\":\"2026-06-18 19:14:43\",\"archive_checked_at\":\"2026-06-18 19:17:05\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-18 19:28:35\",\"citations_updated_at\":null,\"channel_montage_checked_at\":null,\"hed_checked_at\":\"2026-06-30 05:33:24\",\"data_checked_at\":\"2026-07-24 03:00:15\",\"availability_report_at\":\"2026-07-23 01:29:00\",\"signal_defaults_at\":\"2026-09-02 12:45:12\",\"recording_stats_at\":\"2026-09-07 03:01:14\"}","participants":115,"num_citations":0,"latest_version":"v1.0.0","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"nemarAdmin","owner_github":"nemarAdmin","file_size_formatted":"1.38 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/on006377/zarr/index.json","attestation_deposit_type":null,"attestation_key_status":null,"attestation_deidentified":null,"attestation_no_duplicate":null,"attestation_upstream_source":null,"attestation_accepted_at":null}}