{"dataset":{"id":"61171","dataset_id":"on006468","name":"MEG-SCANS - A comprehensive magnetoencephalography speech dataset with Stories, Chirps And Noisy Sentences.","description":"MEG-SCANS is a magnetoencephalography (MEG) dataset comprising raw and MaxFiltered recordings from 24 German-speaking participants performing an auditory speech experiment. Stimuli included audiobooks, Oldenburger Matrix Sentence Test sentences at varying intelligibility levels for speech reception threshold assessment, and chirp stimuli for signal quality checks. The dataset also includes structural MRI scans, hearing screening results, empty-room recordings, and audio stimulus materials, organized in BIDS format to support encoding/decoding analyses of speech-evoked brain responses.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on006468","concept_doi":"10.82901/nemar.on006468","latest_version_doi":"10.82901/nemar.on006468.v1.0.0","created_at":"2026-06-29 01:31:52","updated_at":"2026-08-19 00:38:00","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"MEG-SCANS - A comprehensive magnetoencephalography speech dataset with Stories, Chirps And Noisy Sentences.\",\n  \"description\": \"MEG-SCANS is a magnetoencephalography (MEG) dataset comprising raw and MaxFiltered recordings from 24 German-speaking participants performing an auditory speech experiment. Stimuli included audiobooks, Oldenburger Matrix Sentence Test sentences at varying intelligibility levels for speech reception threshold assessment, and chirp stimuli for signal quality checks. The dataset also includes structural MRI scans, hearing screening results, empty-room recordings, and audio stimulus materials, organized in BIDS format to support encoding/decoding analyses of speech-evoked brain responses.\",\n  \"methods_description\": \"MEG data were recorded from 24 German-speaking participants during an approximately one-hour auditory experiment involving audiobooks, OLSA sentences at varying speech intelligibility levels, and chirp stimuli. Data collection included raw and MaxFiltered MEG recordings, pre- and post-session empty-room MEG recordings, structural MRI scans, and behavioral audiogram/SRT results. Auxiliary MISC channels captured audio and instructor microphone signals at 1000 Hz.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Till Habersetzer\": {\n      \"orcid\": \"0009-0009-5232-9709\"\n    },\n    \"Bernd T. Meyer\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"Magnetoencephalography\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D015225\"\n    },\n    {\n      \"term\": \"Speech Perception\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D013067\"\n    },\n    {\n      \"term\": \"auditory processing\"\n    },\n    {\n      \"term\": \"speech reception threshold\"\n    },\n    {\n      \"term\": \"BIDS\"\n    },\n    {\n      \"term\": \"encoding/decoding models\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on006468\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/on006468\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.1038/s41597-025-06397-4\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.5281/zenodo.17397581\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"HasPart\"\n    },\n    {\n      \"identifier\": \"10.21105/joss.01896\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"10.1038/sdata.2018.110\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds006468.v1.1.2\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"Deutsche Forschungsgemeinschaft (DFG)\",\n      \"award_number\": \"EXC 2177/1 - Project ID 390895286\"\n    },\n    {\n      \"funder_name\": \"Carl von Ossietzky University Oldenburg\",\n      \"award_number\": \"PB mHealth 2020-13\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"Structural MRI Dataset\",\n  \"modalities\": [\n    \"anat\",\n    \"beh\",\n    \"meg\"\n  ],\n  \"sizes\": [\n    \"219.2 GB (799 files)\"\n  ],\n  \"formats\": [\n    \".TextGrid\",\n    \".dat\",\n    \".fif\",\n    \".gz\",\n    \".hdf5\",\n    \".html\",\n    \".json\",\n    \".mat\",\n    \".md\",\n    \".pos\",\n    \".tsv\",\n    \".txt\",\n    \".wav\",\n    \".yml\"\n  ],\n  \"source_hash\": \"ac41ab0dd8f28e8ff0838259b5fc7777c2b1e2194549bf4048eab79e00b90641\"\n}","last_activity_at":"2026-06-29 01:31:52","source":"openneuro","source_id":"ds006468","subject_count":24,"modalities":"anat,beh,meg","age_min":20,"age_max":33,"file_size":219210057325,"total_files":1683,"tasks":"AudiobookQuestions,OlsaMatrixTest,audiobook1,audiobook2,audiogram,intelligibility,noise,olsa","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Till Habersetzer, Bernd T. Meyer","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006468-blue)](https://doi.org/10.82901/nemar.on006468)\n\nReferences\n----------\nAppelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K., Höchenberger, R., Welke, D., Brunner, C., Rockhill, A., Larson, E., Gramfort, A. and Jas, M. (2019). MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Journal of Open Source Software 4: (1896).https://doi.org/10.21105/joss.01896\n\nNiso, G., Gorgolewski, K. J., Bock, E., Brooks, T. L., Flandin, G., Gramfort, A., Henson, R. N., Jas, M., Litvak, V., Moreau, J., Oostenveld, R., Schoffelen, J., Tadel, F., Wexler, J., Baillet, S. (2018). MEG-BIDS, the brain imaging data structure extended to magnetoencephalography. Scientific Data, 5, 180110.https://doi.org/10.1038/sdata.2018.110\n\n\nDescription\n-----------\nThe MEG-SCANS (Stories, Chirps, And Noisy Sentences) dataset provides raw and MaxFiltered magnetoencephalography (MEG) recordings from 24 German-speaking participants, collected over three months. Each participant engaged in an auditory experiment, listening to approximately one hour of stimuli, including two audiobooks (approx. 20 minutes each), 120 sentences from the Oldenburger Matrix Sentence Test (OLSA) presented at varying speech intelligibility levels (20% to 95%) for Speech Reception Threshold (SRT) assessment, and short up-chirps used for MEG signal quality assessment. For each participant, the dataset comprises raw MEG data, corresponding MaxFiltered data, two empty-room MEG recordings (pre- and post-session), a structural MRI scan of the head, behavioral audiogram and SRT results from hearing screenings, and the corresponding audio stimulus material (audiobooks, envelopes, and chirp stimuli). Auxiliary channels recorded include the left audio channel (MISC001), right audio channel (MISC002), and the instructor's microphone (MISC007), all sampled at 1000 Hz. Organized according to the Brain Imaging Data Structure (BIDS), this dataset offers a robust benchmark for large-scale encoding/decoding analyses of temporally-resolved brain responses to speech. Note that sub-01 served as a pilot so that its data resembles a slightly different experimental design, specifically lacking chirp stimuli and featuring different audiobooks; this variation is accounted for in the provided analysis pipelines. Comprehensive Matlab and Python code are included alongside the entire analysis pipeline [https://doi.org/10.5281/zenodo.17397581] to replicate key data validations, ensuring transparency and reproducibility. The dataset is described in an accompanying data descriptor paper [https://doi.org/10.1038/s41597-025-06397-4].","bids_version":"1.7.0","sessions_count":null,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-08-24 11:18:11","zarr_store_count":97,"zarr_index_etag":"3abee0dbc3e63eff08e256d51f14eb89","zarr_source_commit":"72a278d52484d8c5a0d3641a2531381b8105be1d","archive_status":null,"archive_size":null,"archive_retry_count":0,"records_status":"ready","archive_skip_reason":"dataset 204.2 GB exceeds 100.0 GB archive limit; use direct download","zarr_errors":68,"zarr_failure_count":68,"zarr_deterministic":0,"zarr_failed_at":"2026-08-24 11:18:11","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":219198674030,"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":56164,"recording_duration_min":199,"recording_duration_max":753,"recording_count":165,"recordings_unavailable":68,"recordings_measured":97,"channel_count_min":341,"channel_count_max":372,"sampling_frequency":null,"power_line_frequency":null,"eeg_reference":null,"placement_scheme":null,"sweep_stamps":"{\"enrichment_updated_at\":\"2026-08-19 00:37:46\",\"metadata_updated_at\":\"2026-08-19 00:37:59\",\"archive_checked_at\":\"2026-06-29 01:44:05\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-29 01:45:17\",\"citations_updated_at\":\"2026-09-08 03:00:53\",\"channel_montage_checked_at\":null,\"hed_checked_at\":\"2026-06-30 05:34:50\",\"data_checked_at\":\"2026-08-28 03:00:27\",\"availability_report_at\":\"2026-07-23 01:29:24\",\"recording_stats_at\":\"2026-09-02 11:33:42\",\"signal_defaults_at\":\"2026-09-02 12:46:22\"}","participants":24,"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":"204 GB","zarr_data_failures":{"count":68,"detail_ref":"zarr/index.json","compacted_by":"migration_0074"},"zarr_index_url":"https://zarr.nemar.org/on006468/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}}