{"dataset":{"id":"61118","dataset_id":"on005648","name":"Mapping object space dimensions: new insights from temporal dynamics","description":"This dataset comprises raw EEG recordings collected to investigate the temporal dynamics underlying object space dimensions in human perception. Participants completed a rapid image presentation task while EEG data were recorded, enabling analysis of the time course of object representation. The dataset includes behavioral event data alongside BIDS-formatted EEG recordings, supporting research into visual object processing and neural representational geometry.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on005648","concept_doi":"10.82901/nemar.on005648","latest_version_doi":"10.82901/nemar.on005648.v1.0.0","created_at":"2026-06-27 15:00:58","updated_at":"2026-08-19 01:21:03","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"Mapping object space dimensions: new insights from temporal dynamics\",\n  \"description\": \"This dataset comprises raw EEG recordings collected to investigate the temporal dynamics underlying object space dimensions in human perception. Participants completed a rapid image presentation task while EEG data were recorded, enabling analysis of the time course of object representation. The dataset includes behavioral event data alongside BIDS-formatted EEG recordings, supporting research into visual object processing and neural representational geometry.\",\n  \"methods_description\": \"EEG data were collected during a task in which participants viewed a series of target images. Raw EEG recordings were stored in BDF format, with accompanying event files detailing stimulus presentation and channel/sampling rate information for each trial.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Alexis Kidder(*)\": {},\n    \"Genevieve Quek\": {},\n    \"Tijl Grootswagers\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"Electroencephalography\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D004569\"\n    },\n    {\n      \"term\": \"object perception\"\n    },\n    {\n      \"term\": \"temporal dynamics\"\n    },\n    {\n      \"term\": \"Visual Perception\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D014796\"\n    },\n    {\n      \"term\": \"representational geometry\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.18112/openneuro.ds005648.v1.0.3\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on005648\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/on005648\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"38.1 GB (932 files)\"\n  ],\n  \"formats\": [\n    \".bdf\",\n    \".csv\",\n    \".json\",\n    \".m\",\n    \".mat\",\n    \".md\",\n    \".tsv\",\n    \".yml\"\n  ],\n  \"source_hash\": \"6c45c9ea9c6553135f66f4614ce22dfe9bdf9d68391503612757937f8e055a78\"\n}","last_activity_at":"2026-06-27 15:00:58","source":"openneuro","source_id":"ds005648","subject_count":21,"modalities":"eeg","age_min":18,"age_max":62,"file_size":38113007065,"total_files":962,"tasks":"targets","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Alexis Kidder(*), Genevieve Quek, Tijl Grootswagers","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005648-blue)](https://doi.org/10.82901/nemar.on005648)\n\n# README\n\nExperiment details for Mapping object space dimensions: new insights from temporal dynamics. The main folder contains the raw MEG data for all participants in standard bids format. See references. \n\nThe “sourcedata” folder contains the trial behavioral data collected during the EEG Session. The data in this folder follows the following trial structure:\n\n\t•\tsourcedata\n\t⁃\tsub-[participant number]_task-targets_events.csv: contains all the events for each trial in the EEG session, detailing what was shown on the screen\n\n\t•\tsub-[participant number]:contains BIDS formatted raw EEG data\n\t⁃\tsub-[participant name]_task-targets_events_short.tsv: information about the channels used and sampling rate for all trials \n\t⁃\tsub-[participant name]_task-targets_eeg.bdf: EEG raw data \n\n\n","bids_version":"1.10.0","sessions_count":null,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-08-26 18:41:24","zarr_store_count":21,"zarr_index_etag":"a4473c2e99037a4ab99e4aa3fc795cdf","zarr_source_commit":"70bd2fe9904a1258b20f9abe7fd30b6432637954","archive_status":"ready","archive_size":32124898036,"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":0,"n_channels":64,"electrode_system":null,"has_hed":0,"hed_version":null,"is_exemplar":0,"bytes_present":38112985933,"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":41677,"recording_duration_min":3,"recording_duration_max":2377,"recording_count":21,"recordings_unavailable":0,"recordings_measured":21,"channel_count_min":65,"channel_count_max":65,"sampling_frequency":2048,"power_line_frequency":50,"eeg_reference":"CMS/DRL","placement_scheme":null,"sweep_stamps":"{\"enrichment_updated_at\":\"2026-08-19 01:20:45\",\"metadata_updated_at\":\"2026-08-19 01:21:01\",\"archive_checked_at\":\"2026-06-27 15:32:56\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-27 15:17:01\",\"citations_updated_at\":\"2026-09-08 03:00:53\",\"channel_montage_checked_at\":\"2026-06-28 23:49:56\",\"hed_checked_at\":\"2026-06-30 05:23:08\",\"data_checked_at\":null,\"availability_report_at\":\"2026-07-23 01:26:04\",\"recording_stats_at\":\"2026-09-02 11:33:27\",\"signal_defaults_at\":\"2026-09-02 12:39:34\"}","participants":21,"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":"35.50 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/on005648/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}}