{"dataset":{"id":"54125","dataset_id":"on003751","name":"Dataset on Emotion with Naturalistic Stimuli (DENS)","description":"The Dataset on Emotion with Naturalistic Stimuli (DENS) comprises multimodal physiological recordings from 40 participants exposed to emotionally evocative video stimuli. The dataset includes concurrent EEG, ECG, and EMG measurements alongside behavioral self-assessment ratings across multiple emotion dimensions (valence, arousal, dominance, liking, familiarity, relevance, and emotion category). This resource supports research on emotion recognition, affective neuroscience, and the neural correlates of emotional responses to naturalistic, contextually-rich stimuli.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on003751","concept_doi":"10.82901/nemar.on003751","latest_version_doi":"10.82901/nemar.on003751.v1.0.0","created_at":"2026-06-22 14:01:20","updated_at":"2026-07-10 22:19:52","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"Dataset on Emotion with Naturalistic Stimuli (DENS)\",\n  \"description\": \"The Dataset on Emotion with Naturalistic Stimuli (DENS) comprises multimodal physiological recordings from 40 participants exposed to emotionally evocative video stimuli. The dataset includes concurrent EEG, ECG, and EMG measurements alongside behavioral self-assessment ratings across multiple emotion dimensions (valence, arousal, dominance, liking, familiarity, relevance, and emotion category). This resource supports research on emotion recognition, affective neuroscience, and the neural correlates of emotional responses to naturalistic, contextually-rich stimuli.\",\n  \"methods_description\": \"EEG, ECG, and EMG data were recorded from 40 subjects during exposure to naturalistic emotion-inducing video stimuli. Participants provided self-assessment ratings on multiple scales (valence, arousal, dominance, liking, familiarity, relevance, and emotion category) following stimulus presentation. Raw EEG data are provided in .set and .fdt formats with corresponding task event information.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Sudhakar Mishra\": {},\n    \"Md. Asif\": {},\n    \"Uma Shanker Tiwary\": {},\n    \"Narayanan Srinivasan\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"emotion recognition\"\n    },\n    {\n      \"term\": \"naturalistic stimuli\"\n    },\n    {\n      \"term\": \"affective neuroscience\"\n    },\n    {\n      \"term\": \"ECG\"\n    },\n    {\n      \"term\": \"EMG\"\n    },\n    {\n      \"term\": \"multimodal physiological recording\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on003751\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataexplorer/detail?dataset_id=on003751\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds003751.v1.0.2\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"Neuroimaging Dataset\",\n  \"modalities\": [\n    \"beh\",\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"4.8 GB (77 files)\"\n  ],\n  \"formats\": [\n    \".fdt\",\n    \".gitattributes\",\n    \".json\",\n    \".md\",\n    \".set\",\n    \".tsv\",\n    \".yml\"\n  ],\n  \"source_hash\": \"529bebaa271ae34793548f2b6b1c49ec3be62c0b63cc8245ae5e4217a9f787d1\"\n}","last_activity_at":"2026-06-22 14:01:20","source":"openneuro","source_id":"ds003751","subject_count":40,"modalities":"beh,eeg","age_min":19,"age_max":26,"file_size":4790375740,"total_files":199,"tasks":"Emotion,emotion","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Sudhakar Mishra, Md. Asif, Uma Shanker Tiwary, Narayanan Srinivasan","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003751-blue)](https://doi.org/10.82901/nemar.on003751)\n\nOverview\n--------\nThis is the \"Emotion\" dataset. The Dataset is recorded with naturalistic paradigm\n\nIn brief, it contains EEG, ECG and EMG data for 40 subjects emotionally stimulated using naturalistic emotion stimuli. The stimuli are multimedia videos providing context to understand the situated conceptualization of emotions.\nFor details, see the `Details about the experiment` section.\n\n\nCiting this dataset\n-------------------\nPlease cite as follows:\n\nFor more information, see the `dataset_description.json` file.\n\n\nLicense\n-------\nThis eeg_emotion dataset is made available under the Open Database\nLicense: See the LICENSE file. A human readable information can be found at:\n\nhttps://opendatacommons.org/licenses/odbl/summary/\n\nAny rights in individual contents of the database are licensed under the\nDatabase Contents License: http://opendatacommons.org/licenses/dbcl/1.0/\n\n\nDataset Description\n------\nDataset\\_description file described the metadata for the dataset. Participants related details are described in participants.json and participants.tsv files. Each subject directory contains two directories- beh and eeg. A tsv file inside beh folder having entries about the feedbacks given by subject on self-assessment scales-valence, arousal, dominance, liking, familiarity, relevance and emotion category. In addition, it contains the information about the time-stamp of mouse click and other details. The eeg folder inside subject directory contains the raw eeg data in .set \\& .fdt format along with the information about task events in \\_task-emotion\\_events.tsv file. The stimuli directory contains stimuli which were used during the experiment. In addition, feedback excel sheet participant\\_details.xlsx filled by participants is also added. The code directory contains the python code for data collection, python code for data validation and matlab file for pre-processing the raw data.\n","bids_version":"1.4","sessions_count":null,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-08-04 18:06:23","zarr_store_count":8,"zarr_index_etag":"b20ee8b508b962bad33ef2ed596d7d1f","zarr_source_commit":"814b57cdfb1aef4cd548608a2d6eeb3419c97988","archive_status":"ready","archive_size":4292703479,"archive_retry_count":0,"records_status":"ready","archive_skip_reason":null,"zarr_errors":30,"zarr_failure_count":30,"zarr_deterministic":1,"zarr_failed_at":"2026-08-04 18:06:23","num_dataset_citations":4,"num_datapaper_citations":0,"n_channels":128,"electrode_system":null,"has_hed":0,"hed_version":null,"is_exemplar":0,"bytes_present":4789908398,"data_complete":1,"withdrawn_at":null,"withdrawn_reason":null,"archive_complete":null,"archive_absent_files":null,"archive_declared_files":null,"zarr_pool_breaks":null,"total_recording_duration":15106.139999999998,"recording_duration_min":1325.12,"recording_duration_max":2696.36,"recording_count":38,"recordings_unavailable":30,"recordings_measured":8,"channel_count_min":132,"channel_count_max":132,"sampling_frequency":250,"power_line_frequency":50,"eeg_reference":"Cz","placement_scheme":null,"sweep_stamps":"{\"enrichment_updated_at\":\"2026-06-22 14:10:08\",\"metadata_updated_at\":\"2026-06-22 14:10:08\",\"archive_checked_at\":\"2026-06-22 14:13:25\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-22 14:12:52\",\"citations_updated_at\":\"2026-09-10 03:00:18\",\"channel_montage_checked_at\":\"2026-06-28 23:14:59\",\"hed_checked_at\":\"2026-06-30 04:47:04\",\"data_checked_at\":\"2026-08-03 03:00:16\",\"availability_report_at\":\"2026-07-23 01:15:05\",\"recording_stats_at\":\"2026-09-02 11:32:32\",\"signal_defaults_at\":\"2026-09-02 12:02:57\"}","participants":40,"num_citations":4,"latest_version":"v1.0.0","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"nemarAdmin","owner_github":"nemarAdmin","file_size_formatted":"4.46 GB","zarr_data_failures":{"count":30,"detail_ref":"zarr/index.json","compacted_by":"migration_0074"},"zarr_index_url":"https://zarr.nemar.org/on003751/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}}