{"dataset":{"id":"54529","dataset_id":"on004067","name":"Moral conviction and metacognitive ability shape multiple stages of information processing","description":"This dataset comprises human electroencephalography (EEG) recordings from 80 participants engaged in a moral decision-making task. Participants evaluated their attitudes toward sociopolitical issues, then viewed protest photographs with varying levels of indicated social support, followed by judgments of support for the protesters. The study investigates how moral conviction and metacognitive ability influence information processing across multiple cognitive stages.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on004067","concept_doi":"10.82901/nemar.on004067","latest_version_doi":"10.82901/nemar.on004067.v1.0.0","created_at":"2026-06-23 05:01:55","updated_at":"2026-07-10 23:23:51","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"enriched\",\n  \"title\": \"Moral conviction and metacognitive ability shape multiple stages of information processing\",\n  \"description\": \"This dataset comprises human electroencephalography (EEG) recordings from 80 participants engaged in a moral decision-making task. Participants evaluated their attitudes toward sociopolitical issues, then viewed protest photographs with varying levels of indicated social support, followed by judgments of support for the protesters. The study investigates how moral conviction and metacognitive ability influence information processing across multiple cognitive stages.\",\n  \"methods_description\": \"Human EEG recordings were collected from 80 participants. The experimental protocol involved participants first providing attitudes about sociopolitical issues, then viewing photographs of protests related to those issues preceded by pie charts indicating social support levels (low, medium, or high). Participants indicated their support for protesters following each photograph.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Yoder, Keith J\": {\n      \"orcid\": \"0000-0002-9596-5408\"\n    },\n    \"Decety, Jean\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"moral decision-making\"\n    },\n    {\n      \"term\": \"metacognition\"\n    },\n    {\n      \"term\": \"social perception\"\n    },\n    {\n      \"term\": \"information processing\"\n    },\n    {\n      \"term\": \"Electroencephalography\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D004569\"\n    },\n    {\n      \"term\": \"moral conviction\"\n    },\n    {\n      \"term\": \"social support\"\n    },\n    {\n      \"term\": \"protest\"\n    },\n    {\n      \"term\": \"social attitudes\"\n    },\n    {\n      \"term\": \"cognitive neuroscience\"\n    },\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"sociopolitical\"\n    },\n    {\n      \"term\": \"political attitudes\"\n    },\n    {\n      \"term\": \"protest perception\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.17605/OSF.IO/8KPEF\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on004067\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataexplorer/detail?dataset_id=on004067\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.17605/OSF.IO/32DAS\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"HasPart\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds004067.v1.0.1\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"Seed grant from Grossman Center for Quantitative Biology and Human Behavior (JD)\"\n    },\n    {\n      \"funder_name\": \"Grossman Center for Quantitative Biology and Human Behavior\",\n      \"award_title\": \"Seed grant\"\n    }\n  ],\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"108.2 GB (254 files)\"\n  ],\n  \"formats\": [\n    \".eeg\",\n    \".json\",\n    \".md\",\n    \".vhdr\",\n    \".vmrk\",\n    \".yml\"\n  ],\n  \"source_hash\": \"d605a554208c1455c0e0c7c43bf9793c7e6be0c4ece0e752b953397ebb141801\"\n}","last_activity_at":"2026-06-23 05:01:55","source":"openneuro","source_id":"ds004067","subject_count":80,"modalities":"eeg","age_min":null,"age_max":null,"file_size":108218053757,"total_files":260,"tasks":"sjt","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Yoder, Keith J, Decety, Jean","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004067-blue)](https://doi.org/10.82901/nemar.on004067)\n\nExperiment Details\n\nHuman electroencephalography recordings from 80 participants. Participants first provided their attitudes about a set of sociopolitical issues, then view photographs of protests that were ostensibly about those same issues. Prior to each photo, they saw a pie chart indicating social support for the issue (low, medium, or high). After each photo, they indicated their support for the protestors.\n\nOther data and analysis scripts can be found on OSF (DOI 10.17605/OSF.IO/32DAS) or at the github repository for the project (https://github.com/Social-Cognitive-Neuroscience-Lab/EEGMoralization)","bids_version":"1.0.2","sessions_count":null,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-08-05 01:50:36","zarr_store_count":83,"zarr_index_etag":"783025e37abe4671d316a271ec4eb3c5","zarr_source_commit":"408fd61f4b8e0bbacac726a7504891431761b6ae","archive_status":null,"archive_size":null,"archive_retry_count":0,"records_status":null,"archive_skip_reason":"dataset 100.8 GB exceeds 100.0 GB archive limit; use direct download","zarr_errors":1,"zarr_failure_count":1,"zarr_deterministic":1,"zarr_failed_at":"2026-08-05 01:50:36","num_dataset_citations":0,"num_datapaper_citations":1,"n_channels":null,"electrode_system":null,"has_hed":0,"hed_version":null,"is_exemplar":0,"bytes_present":108218048645,"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":212015.54000000004,"recording_duration_min":253.952,"recording_duration_max":3313.1,"recording_count":84,"recordings_unavailable":1,"recordings_measured":83,"channel_count_min":63,"channel_count_max":63,"sampling_frequency":2000,"power_line_frequency":60,"eeg_reference":"Cz","placement_scheme":null,"sweep_stamps":"{\"enrichment_updated_at\":\"2026-06-23 05:14:46\",\"metadata_updated_at\":\"2026-06-23 05:14:56\",\"archive_checked_at\":\"2026-06-23 05:15:37\",\"zarr_checked_at\":null,\"records_checked_at\":null,\"citations_updated_at\":\"2026-09-08 03:00:52\",\"channel_montage_checked_at\":\"2026-06-28 23:19:02\",\"hed_checked_at\":\"2026-06-30 04:51:37\",\"data_checked_at\":\"2026-08-05 03:00:31\",\"availability_report_at\":\"2026-07-23 01:16:38\",\"recording_stats_at\":\"2026-09-02 11:32:37\",\"signal_defaults_at\":\"2026-09-02 12:06:51\"}","participants":80,"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":"101 GB","zarr_data_failures":{"count":1,"detail_ref":"zarr/index.json","compacted_by":"migration_0074"},"zarr_index_url":"https://zarr.nemar.org/on004067/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}}