{"dataset":{"id":"52504","dataset_id":"on003104","name":"MNE-somato-data-bids (anonymized)","description":"This dataset contains somatosensory MEG recordings converted to BIDS format, including raw MEG data, anatomical MRI scans, and FreeSurfer-derived structural derivatives. The dataset includes forward models and boundary element models computed using MNE-BIDS, providing a complete neuroimaging resource for studying somatosensory processing and demonstrating MEG-MRI integration workflows.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on003104","concept_doi":"10.82901/nemar.on003104","latest_version_doi":"10.82901/nemar.on003104.v1.0.0","created_at":"2026-06-21 17:30:57","updated_at":"2026-07-10 22:13:50","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"MNE-somato-data-bids (anonymized)\",\n  \"description\": \"This dataset contains somatosensory MEG recordings converted to BIDS format, including raw MEG data, anatomical MRI scans, and FreeSurfer-derived structural derivatives. The dataset includes forward models and boundary element models computed using MNE-BIDS, providing a complete neuroimaging resource for studying somatosensory processing and demonstrating MEG-MRI integration workflows.\",\n  \"methods_description\": \"MEG data were acquired and subsequently converted to BIDS format using MNE-BIDS. Anatomical T1-weighted MRI images were processed using FreeSurfer's recon-all pipeline with default parameters. Additional FreeSurfer processing included scalp surface generation (mne make_scalp_surfaces) and watershed-based boundary element model computation (mne watershed_bem). Forward models were computed from source space definitions, head-MRI transformation matrices, and conductor models.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Lauri Parkkonen\": {},\n    \"Stefan Appelhoff\": {},\n    \"Alexandre Gramfort\": {},\n    \"Mainak Jas\": {},\n    \"Richard Höchenberger\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"MEG\"\n    },\n    {\n      \"term\": \"somatosensory\"\n    },\n    {\n      \"term\": \"BIDS\"\n    },\n    {\n      \"term\": \"MRI\"\n    },\n    {\n      \"term\": \"forward model\"\n    },\n    {\n      \"term\": \"FreeSurfer\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on003104\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataexplorer/detail?dataset_id=on003104\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds003104.v1.0.1\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"Structural MRI Dataset\",\n  \"modalities\": [\n    \"anat\",\n    \"meg\"\n  ],\n  \"sizes\": [\n    \"388.7 MB (328 files)\"\n  ],\n  \"formats\": [\n    \".H\",\n    \".K\",\n    \".annot\",\n    \".area\",\n    \".avg_curv\",\n    \".bak\",\n    \".cmd\",\n    \".crv\",\n    \".ctab\",\n    \".curv\",\n    \".dat\",\n    \".defect_borders\",\n    \".defect_chull\",\n    \".defect_labels\",\n    \".done\",\n    \".env\",\n    \".fif\",\n    \".gitattributes\",\n    \".gz\",\n    \".inflated\",\n    \".info\",\n    \".jacobian_white\",\n    \".json\",\n    \".label\",\n    \".local-copy\",\n    \".log\",\n    \".lta\",\n    \".m3z\",\n    \".md\",\n    \".mgh\",\n    \".mgz\",\n    \".mid\",\n    \".nofix\",\n    \".old\",\n    \".orig\",\n    \".pial\",\n    \".preaparc\",\n    \".py\",\n    \".reg\",\n    \".seghead\",\n    \".smoothwm\",\n    \".sphere\",\n    \".stats\",\n    \".sulc\",\n    \".surf\",\n    \".thickness\",\n    \".touch\",\n    \".tsv\",\n    \".txt\",\n    \".volume\",\n    \".white\",\n    \".xfm\",\n    \".yml\"\n  ],\n  \"source_hash\": \"0c2d3ba898ec6018f9d174ed3eb29c659dfe7983c204478884390f6bbb55289a\"\n}","last_activity_at":"2026-06-21 17:30:57","source":"openneuro","source_id":"ds003104","subject_count":1,"modalities":"anat,meg","age_min":null,"age_max":null,"file_size":761228965,"total_files":607,"tasks":"somato","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Lauri Parkkonen, Stefan Appelhoff, Alexandre Gramfort, Mainak Jas, Richard Höchenberger","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003104-blue)](https://doi.org/10.82901/nemar.on003104)\n\nMNE-somato-data-bids\n====================\n\nThis dataset contains the MNE-somato-data in BIDS format.\n\nThe conversion can be reproduced through the Python script stored in the\n`/code` directory of this dataset. See the README in that directory.\n\nThe `/derivatives` directory contains the outputs of running the FreeSurfer\npipeline `recon-all` on the MRI data with no additional commandline options\n(only defaults were used):\n\n$ recon-all -i sub-01_T1w.nii.gz -s 01 -all\n\nAfter the `recon-all` call, there were further FreeSurfer calls from the MNE\nAPI:\n\n$ mne make_scalp_surfaces -s 01 --force\n$ mne watershed_bem -s 01\n\nThe derivatives also contain the forward model `*-fwd.fif`, which was produced\nusing the source space definition, a `*-trans.fif` file, and the boundary\nelement model (=conductor model) that lives in\n`freesurfer/subjects/01/bem/*-bem-sol.fif`.\n\nThe `*-trans.fif` file is not saved, but can be recovered from the anatomical\nlandmarks in the `sub-01/anat/T1w.json` file and MNE-BIDS' function\n`get_head_mri_transform`.\n\nSee: https://github.com/mne-tools/mne-bids for more information.\n\nNotes on FreeSurfer\n===================\nthe FreeSurfer pipeline `recon-all` was run new for the sake of converting the\nsomato data to BIDS format. This needed to be done to change the \"somato\"\nsubject name to the BIDS subject label \"01\". Note, that this is NOT \"sub-01\",\nbecause in BIDS, the \"sub-\" is just a prefix, whereas the \"01\" is the subject\nlabel.\n\n\n","bids_version":"1.4.0","sessions_count":null,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"failed","zarr_converted_at":null,"zarr_store_count":null,"zarr_index_etag":null,"zarr_source_commit":null,"archive_status":"ready","archive_size":280735449,"archive_retry_count":0,"records_status":"ready","archive_skip_reason":null,"zarr_errors":1,"zarr_failure_count":0,"zarr_deterministic":0,"zarr_failed_at":"2026-09-08 08:42:59","num_dataset_citations":1,"num_datapaper_citations":0,"n_channels":null,"electrode_system":null,"has_hed":0,"hed_version":null,"is_exemplar":0,"bytes_present":388728669,"data_complete":0,"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":null,"recordings_unavailable":null,"recordings_measured":null,"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\":\"2026-06-21 17:38:25\",\"metadata_updated_at\":\"2026-06-21 17:38:30\",\"archive_checked_at\":\"2026-07-31 03:50:34\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-21 17:39:43\",\"citations_updated_at\":\"2026-09-08 03:00:52\",\"channel_montage_checked_at\":null,\"hed_checked_at\":\"2026-06-30 04:41:03\",\"data_checked_at\":\"2026-07-30 03:01:11\",\"availability_report_at\":\"2026-07-23 01:13:18\",\"recording_stats_at\":null,\"signal_defaults_at\":\"2026-09-02 11:57:55\"}","participants":1,"num_citations":1,"latest_version":"v1.0.0","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"nemarAdmin","owner_github":"nemarAdmin","file_size_formatted":"726 MB","zarr_data_failures":{"count":0,"detail_ref":"zarr/index.json","pending":1,"discovered":1},"zarr_index_url":null,"attestation_deposit_type":null,"attestation_key_status":null,"attestation_deidentified":null,"attestation_no_duplicate":null,"attestation_upstream_source":null,"attestation_accepted_at":null}}