{ "format": "oscr-script-manifest/1", "repository": "zenodo:19209884", "url": "https://doi.org/10.5281/zenodo.19209884", "host": "zenodo.org", "commit": "", "license": "CC-BY-4.0", "license_confirmed_by": "license of the archive's record", "redistribution": "yes", "files": [ { "path": "code.zip/code/behavioural_data_analyses/behaviour_analyses.ipynb", "sha256": "2f0e70e25ae3c69c33594bb43f59e76548749bf40253b09ffbac2ebd441c4f4a", "language": "Jupyter", "lines": 343, "truncated": false, "block": 9, "row": 2466 }, { "path": "code.zip/code/behavioural_data_analyses/get_rt_scanner.py", "sha256": "8389b4b5b3d4e872f3806202ce41fb1ff363e775b2d0c0c88a16ede50d786897", "language": "Python", "lines": 210, "truncated": false, "block": 9, "row": 10188 }, { "path": "code.zip/code/extras/create_rois.py", "sha256": "c16f44887c4fd73725b82f62b32dbee4df768cac214a89c1c5023def57c878d7", "language": "Python", "lines": 152, "truncated": false, "block": 9, "row": 9432 }, { "path": "code.zip/code/extras/juelich_subject_specific.py", "sha256": "daa247c5191b0555ad91fdf76afa1200925d6eebdc7e1f661b3b0751cbb4e8ef", "language": "Python", "lines": 94, "truncated": false, "block": 9, "row": 8912 }, { "path": "code.zip/code/extras/reliable_rois.ipynb", "sha256": "69cb497fc15766c5a658a0b1de5641600ab350931c964e7adff0574acd8d6e85", "language": "Jupyter", "lines": 81, "truncated": false, "block": 9, "row": 2245 }, { "path": "code.zip/code/extras/voxel_reliability_maps.py", "sha256": "6efbc9df49e1fd34c02a10bf42a70b3867980245308cbd91f5e9129e815215bf", "language": "Python", "lines": 232, "truncated": false, "block": 9, "row": 10315 }, { "path": "code.zip/code/eyetracking_data_analyses/0_move_and_clean_eyedata.py", "sha256": "9e0bae14fcb15968646a2f91472ca93f90a2144e9eb6fa25936a007b1a83d932", "language": "Python", "lines": 152, "truncated": false, "block": 9, "row": 9654 }, { "path": "code.zip/code/eyetracking_data_analyses/1_eye_create_events.py", "sha256": "f71a1d7040bdda379c00e0c6a4ceeccab2d9ae7f2ff6f0b318dba8bbfd50e8cb", "language": "Python", "lines": 346, "truncated": false, "block": 9, "row": 11539 }, { "path": "code.zip/code/eyetracking_data_analyses/2_eye_exploration_allsubs.ipynb", "sha256": "d1c2f7eeef6421a382822b6f0ffccd77c293e5adc0246616daf65cea7b7c5808", "language": "Jupyter", "lines": 1159, "truncated": false, "block": 9, "row": 2710 }, { "path": "code.zip/code/eyetracking_data_analyses/3_directional_stat_allsubs.ipynb", "sha256": "43891a5ef7a96b429384aaad8c1f55009ca7404be0679553fc93d4b4415d524d", "language": "Jupyter", "lines": 466, "truncated": false, "block": 9, "row": 2609 }, { "path": "code.zip/code/eyetracking_data_analyses/5_deepmreye_eye_comparisons.ipynb", "sha256": "32bf61f392a9264a60180c47e640017dffd51b51f9b449a69020ee0d03c625af", "language": "Jupyter", "lines": 293, "truncated": false, "block": 9, "row": 2473 }, { "path": "code.zip/code/eyetracking_data_analyses/6_deepmreye_eye_comparisons_y.ipynb", "sha256": "fe9371654ebbdab8cd9ceb19bc538ddf94fd8fe4040c7bb4a5c19ce1c17f296f", "language": "Jupyter", "lines": 48, "truncated": false, "block": 9, "row": 2241 }, { "path": "code.zip/code/neural_data_analyses/10_single_subject_searchlight.py", "sha256": "49aa2bb837259e05dd2cc0572bf0cee185da344bc35ea69d12dccbf58bf2f740", "language": "Python", "lines": 295, "truncated": false, "block": 9, "row": 11139 }, { "path": "code.zip/code/neural_data_analyses/10_single_subject_searchlight_partials.py", "sha256": "18fc81fdd9668600d93768d3fd0a0456c4280fb0efae070670d1f1c35853e4ad", "language": "Python", "lines": 266, "truncated": false, "block": 9, "row": 10800 }, { "path": "code.zip/code/neural_data_analyses/10a_submit_slurm_searchlight.py", "sha256": "e1a58047714044e479e4519b4d13634974f3e96f7095c34190f6846958f61183", "language": "Python", "lines": 76, "truncated": false, "block": 9, "row": 8235 }, { "path": "code.zip/code/neural_data_analyses/11_convert_T1w_MNI_searchlight.py", "sha256": "53fc95ca7d18ee02bbf47e20554811d18383f55f2c695d862e6d39c151944e50", "language": "Python", "lines": 98, "truncated": false, "block": 9, "row": 8969 }, { "path": "code.zip/code/neural_data_analyses/12_cluster_correction_searchlight.py", "sha256": "da3ce057e7bf874865386f0241b2c73adac7ac9f862470dc3751270be4c29e23", "language": "Python", "lines": 263, "truncated": false, "block": 9, "row": 10577 }, { "path": "code.zip/code/neural_data_analyses/13_deepmreye.py", "sha256": "2a9ff448c737b08c48ea52b0f20062efabfc1efbd2966efff5e43246a0984599", "language": "Python", "lines": 232, "truncated": false, "block": 9, "row": 10521 }, { "path": "code.zip/code/neural_data_analyses/14_deepmreye_events.py", "sha256": "fe1713735d8ae0bbc6bf991f4fea284c70e8226193cede83c097ccf29168a990", "language": "Python", "lines": 137, "truncated": false, "block": 9, "row": 9527 }, { "path": "code.zip/code/neural_data_analyses/1_dicom_to_bids.py", "sha256": "0811dbe183f0215863be567f4dd54878690a226d1093865474ee492d42c3ba66", "language": "Python", "lines": 408, "truncated": false, "block": 9, "row": 11216 }, { "path": "code.zip/code/neural_data_analyses/2_fmriprep_acthippo.py", "sha256": "d5ee4430d5f48166fd1942c3ffa3c9ce9768c61aec92da1a7dafd8ac61e9b6f9", "language": "Python", "lines": 236, "truncated": false, "block": 9, "row": 10363 }, { "path": "code.zip/code/neural_data_analyses/3_create_events.py", "sha256": "43e929ab7f84bde32aeb3df55a24a31b09aa1466408fdbe2d0ef98d914c565ea", "language": "Python", "lines": 335, "truncated": false, "block": 9, "row": 11498 }, { "path": "code.zip/code/neural_data_analyses/3_create_events_univariate.py", "sha256": "bfe0544bd84135a21639b4e065ff387509ff48970bcd2ac396010da25047c66f", "language": "Python", "lines": 351, "truncated": false, "block": 9, "row": 11573 }, { "path": "code.zip/code/neural_data_analyses/4_run_glm_single_subject.py", "sha256": "845389b7b81e2777005407cf78a265a8480395ca166b3d59cf7197b5561591b6", "language": "Python", "lines": 245, "truncated": false, "block": 9, "row": 10528 }, { "path": "code.zip/code/neural_data_analyses/4_run_runwise_glm_single_subject.py", "sha256": "6970fc43196fc2b116c455b43a3fb1dc3ffc78ea4f87d11954a33f9df446c789", "language": "Python", "lines": 248, "truncated": false, "block": 9, "row": 10675 }, { "path": "code.zip/code/neural_data_analyses/4_run_trialwise_glm_single_subject.py", "sha256": "af5fc5bc01468c54e9321c426025924f4a1ef9f3d3acd9cd626927fdfaf44df1", "language": "Python", "lines": 237, "truncated": false, "block": 9, "row": 10635 }, { "path": "code.zip/code/neural_data_analyses/4a_submit_slurm_glm.py", "sha256": "145ec5339fcd1d55beeb92147a4ee693d148b6a42b0cfaa5541095470b487f50", "language": "Python", "lines": 74, "truncated": false, "block": 9, "row": 8062 }, { "path": "code.zip/code/neural_data_analyses/4b_submit_slurm_glm_runwise.py", "sha256": "d128247ae8ad692595b451202c5d6676801bcc3e70ecc982ff9898a13c6fe6dc", "language": "Python", "lines": 73, "truncated": false, "block": 9, "row": 8092 }, { "path": "code.zip/code/neural_data_analyses/4c_submit_slurm_glm_trialwise.py", "sha256": "e9f7fcf04e7074f89ac43aa9a29c5b6769b1a0c668fc218cfe5d25a0d399e8cb", "language": "Python", "lines": 73, "truncated": false, "block": 9, "row": 8105 }, { "path": "code.zip/code/neural_data_analyses/5_convert_T1w_MNI.py", "sha256": "72c470ffa15f6f422d658d642213bd7ffef4c260f4ed621da9769bfc39618860", "language": "Python", "lines": 93, "truncated": false, "block": 9, "row": 8806 }, { "path": "code.zip/code/neural_data_analyses/6_cluster_correction.py", "sha256": "da77d8b48b00d7ad39aa228c08bcbe2448966f5beffd65c5620d297ec26604cf", "language": "Python", "lines": 242, "truncated": false, "block": 9, "row": 10484 }, { "path": "code.zip/code/neural_data_analyses/7_create_neural_rdms.py", "sha256": "8067956498a81d6ff7bdd5e09fea68479dfd550c4a78584f4319ce350bd4e9fc", "language": "Python", "lines": 198, "truncated": false, "block": 9, "row": 10340 }, { "path": "code.zip/code/neural_data_analyses/7a_submit_slurm_neural_rdms.py", "sha256": "acc67ae0f16fbdceacd2e32bcf73bd9203f5dbdb95358aa9db9171f495e0a8b5", "language": "Python", "lines": 89, "truncated": false, "block": 9, "row": 8635 }, { "path": "code.zip/code/neural_data_analyses/8_roi_based_rsa.ipynb", "sha256": "d3000839f893efa6356e09ccca4e1dd7141e6972e739e2ff21931e532ba0ecc8", "language": "Jupyter", "lines": 466, "truncated": false, "block": 9, "row": 2594 } ] }