{"dataset":{"id":"57426","dataset_id":"on004519","name":"Internal selective attention is delayed by competition between endogenous and exogenous factors","description":"This dataset contains preprocessed EEG data from a study investigating how internal selective attention is modulated by competition between endogenous and exogenous attentional factors. The study examines the temporal dynamics of attention allocation during tasks involving competing internal goals and external stimuli. Preprocessed data are provided in BIDS format alongside behavioral summary files for integrated analysis.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on004519","concept_doi":"10.82901/nemar.on004519","latest_version_doi":"10.82901/nemar.on004519.v1.0.0","created_at":"2026-06-24 15:31:45","updated_at":"2026-07-10 22:33:26","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"Internal selective attention is delayed by competition between endogenous and exogenous factors\",\n  \"description\": \"This dataset contains preprocessed EEG data from a study investigating how internal selective attention is modulated by competition between endogenous and exogenous attentional factors. The study examines the temporal dynamics of attention allocation during tasks involving competing internal goals and external stimuli. Preprocessed data are provided in BIDS format alongside behavioral summary files for integrated analysis.\",\n  \"methods_description\": \"EEG data were collected and preprocessed, with results provided in BIDS-compliant .set format. Behavioral summary data (.mat files) are included for alignment with EEG recordings to enable integrated analysis of neural and behavioral measures.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Edward Ester\": {},\n    \"Asal Nouri\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"selective attention\"\n    },\n    {\n      \"term\": \"endogenous attention\"\n    },\n    {\n      \"term\": \"exogenous attention\"\n    },\n    {\n      \"term\": \"attention competition\"\n    },\n    {\n      \"term\": \"preprocessed data\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on004519\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataexplorer/detail?dataset_id=on004519\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.1101/2022.07.05.498906\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds004519.v1.0.1\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    }\n  ],\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"13.5 GB (81 files)\"\n  ],\n  \"formats\": [\n    \".fdt\",\n    \".json\",\n    \".md\",\n    \".set\",\n    \".tsv\",\n    \".yml\"\n  ],\n  \"source_hash\": \"9e3d78464a9861135f2846bc99f81ad7ee44adfbf3cf8891a3dd0438118134e8\"\n}","last_activity_at":"2026-06-24 15:31:45","source":"openneuro","source_id":"ds004519","subject_count":40,"modalities":"eeg","age_min":null,"age_max":null,"file_size":13486850900,"total_files":290,"tasks":"ProAntiCue","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Edward Ester, Asal Nouri","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004519-blue)](https://doi.org/10.82901/nemar.on004519)\n\nPreprocessed data files from \"Internal selective attention is delayed by competition between endogenous and exogenous factors\". A preprint describing the work can be found at https://www.biorxiv.org/content/10.1101/2022.07.05.498906v4.abstract, and analysis scripts can be found at https://osf.io/wat6d/. This study was conceptualized and analyzed before our lab made the switch to BIDS archival. If you want to use the analysis scripts linked above to analyze the BIDS data, you'll have to modify them to load the BIDS .set files rather than the .mat files we analyzed in our lab (the .set and .mat files, however, are identical). You will also need to modify the analysis scripts to load in the _behavSummary.mat files for alignment with the EEG data. If you have questions or run into problems, please e-mail the corresponding author of the study (eester@unr.edu)\"","bids_version":"1.8.0","sessions_count":null,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-08-06 08:00:30","zarr_store_count":40,"zarr_index_etag":"040df466d789e665304bb978672cee7a","zarr_source_commit":"9252351b1f0bb481db6ca581eab29d1dbdc948ee","archive_status":"ready","archive_size":12243234820,"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":1,"num_datapaper_citations":1,"n_channels":62,"electrode_system":"10-10","has_hed":0,"hed_version":"8.1.0","is_exemplar":0,"bytes_present":13480627900,"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":213312,"recording_duration_min":4608,"recording_duration_max":5376,"recording_count":40,"recordings_unavailable":0,"recordings_measured":40,"channel_count_min":62,"channel_count_max":62,"sampling_frequency":250,"power_line_frequency":60,"eeg_reference":"TP10","placement_scheme":"10-20","sweep_stamps":"{\"enrichment_updated_at\":\"2026-06-24 15:39:32\",\"metadata_updated_at\":\"2026-06-24 15:39:42\",\"archive_checked_at\":\"2026-06-24 15:48:49\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-24 15:41:01\",\"citations_updated_at\":\"2026-09-08 03:00:52\",\"channel_montage_checked_at\":\"2026-06-28 23:26:59\",\"hed_checked_at\":\"2026-06-30 05:00:47\",\"data_checked_at\":\"2026-08-11 03:00:33\",\"availability_report_at\":\"2026-07-23 01:19:24\",\"recording_stats_at\":\"2026-09-02 11:32:47\",\"signal_defaults_at\":\"2026-09-02 12:14:59\"}","participants":40,"num_citations":2,"latest_version":"v1.0.0","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"nemarAdmin","owner_github":"nemarAdmin","file_size_formatted":"12.56 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/on004519/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}}