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study_slug string | experiment string | paradigm string | n_subjects int64 | trials_per_subject list | columns_present dict | column_values string | demographic_coverage string | applicable_methods list | data_path string | jingle_jangle_note string | fingerprint string | provenance string | paradigm_status null |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
lefebvre2017_behavioural | exp1 | probabilistic-reward-learning | 50 | [
96,
96
] | {
"subject_id": 1,
"age": 0,
"sex": 0,
"gender": 0,
"trial_global": 1,
"step": 1,
"trial_block": 1,
"trial_within_block": 1,
"imputed": 1,
"experiment_phase": 1,
"task_phase": 1,
"subject_spec": 1,
"block_spec": 1,
"trial_spec": 1,
"step_spec": 1,
"decision": 1,
"decision_freedom": 1,
... | {"step":{"step":{"n_distinct":1,"between_subject":false,"dtype":"numeric","values":[0]}},"trial_within_block":{"trial_within_block":{"n_distinct":5,"between_subject":false,"dtype":"numeric","values":[0,1,2,3,4]}},"imputed":{"imputed":{"n_distinct":1,"between_subject":false,"dtype":"numeric","values":[0]}},"experiment_p... | {"age":0.0,"sex":0.0,"gender":0.0} | [
"reward_optimal_choice_rate"
] | data\datasets\lefebvre2017_behavioural\exp_1.parquet | bdcc190dc9be0191da6aa8086e011eca517d7af964b11f8b85684229160537e2 | {"profiler":"profile_dataset","profiled_at":"2026-06-18T17:13:42.269862+00:00","paradigm":"probabilistic-reward-learning","columns_examined":["action","age","block_spec","correct","correct_outcome","correct_response","decision","decision_freedom","encoding_applicable","experiment_phase","feature_vector","feedback","gen... | null | |
lefebvre2017_behavioural | exp2 | probabilistic-reward-learning | 35 | [
96,
96
] | {
"subject_id": 1,
"age": 0,
"sex": 0,
"gender": 0,
"trial_global": 1,
"step": 1,
"trial_block": 1,
"trial_within_block": 1,
"imputed": 1,
"experiment_phase": 1,
"task_phase": 1,
"subject_spec": 1,
"block_spec": 1,
"trial_spec": 1,
"step_spec": 1,
"decision": 1,
"decision_freedom": 1,
... | {"step":{"step":{"n_distinct":1,"between_subject":false,"dtype":"numeric","values":[0]}},"trial_within_block":{"trial_within_block":{"n_distinct":4,"between_subject":false,"dtype":"numeric","values":[0,1,2,3]}},"imputed":{"imputed":{"n_distinct":1,"between_subject":false,"dtype":"numeric","values":[0]}},"experiment_pha... | {"age":0.0,"sex":0.0,"gender":0.0} | [
"reward_optimal_choice_rate"
] | data\datasets\lefebvre2017_behavioural\exp_2.parquet | 66b065bdf0651e7bf727142786c525f4cd77e37182599518b2c59b770d8e45b8 | {"profiler":"profile_dataset","profiled_at":"2026-06-18T17:13:42.277727+00:00","paradigm":"probabilistic-reward-learning","columns_examined":["action","age","block_spec","correct","correct_outcome","correct_response","decision","decision_freedom","encoding_applicable","experiment_phase","feature_vector","feedback","gen... | null | |
badham2017_deficits | exp1 | deterministic-stimulus-response-classification-learning | 96 | [
768,
768
] | {
"subject_id": 1,
"age": 1,
"sex": 1,
"gender": 1,
"trial_global": 1,
"step": 1,
"trial_block": 1,
"trial_within_block": 1,
"imputed": 1,
"experiment_phase": 1,
"task_phase": 1,
"subject_spec": 1,
"block_spec": 1,
"trial_spec": 1,
"step_spec": 1,
"decision": 1,
"decision_freedom": 1,
... | {"age":{"age":{"n_distinct":23,"between_subject":true,"dtype":"numeric","values":[18.0,19.0,20.0,21.0,61.0,66.0,67.0,68.0,69.0,71.0,72.0,73.0,74.0,75.0,76.0,77.0,78.0,79.0,80.0,81.0,83.0,86.0,87.0]}},"sex":{"sex":{"n_distinct":2,"between_subject":true,"dtype":"string","values":["female","male"]}},"gender":{"gender":{"n... | {"age":1.0,"sex":1.0,"gender":1.0} | [
"classification_accuracy"
] | data\datasets\badham2017_deficits\exp_1.parquet | Rule-shifting paradigm: category rule changes several times within a session, so classification_accuracy here is scored against a moving target. This may NOT be the same construct as classification_accuracy on stationary-mapping studies (e.g. gershman2020_reward). Confirm equivalence before any cross-study pooling -- d... | aa3bb1561733d1c443f582af8e2fc44d3d0382b1c8b646e85418fa6ec78517c2 | {"profiler":"profile_dataset","profiled_at":"2026-06-19T02:20:53.096190+00:00","paradigm":"deterministic-stimulus-response-classification-learning","columns_examined":["action","age","block_spec","correct","correct_outcome","correct_response","decision","decision_freedom","encoding_applicable","experiment_phase","featu... | null |
feher2020_humans | exp1 | two-step-task | 24 | [
502,
644
] | {
"subject_id": 1,
"age": 0,
"sex": 0,
"gender": 0,
"trial_global": 1,
"step": 1,
"trial_block": 1,
"trial_within_block": 1,
"imputed": 1,
"experiment_phase": 1,
"task_phase": 1,
"subject_spec": 1,
"block_spec": 1,
"trial_spec": 1,
"step_spec": 1,
"decision": 1,
"decision_freedom": 1,
... | {"step":{"step":{"n_distinct":2,"between_subject":false,"dtype":"numeric","values":[0,1]}},"trial_block":{"trial_block":{"n_distinct":3,"between_subject":false,"dtype":"numeric","values":[0,1,2]}},"imputed":{"imputed":{"n_distinct":1,"between_subject":false,"dtype":"numeric","values":[0]}},"experiment_phase":{"experime... | {"age":0.0,"sex":0.0,"gender":0.0} | [] | data\datasets\feher2020_humans\exp_1.parquet | cb7b23cba15c5f1e8f4d72a14ba64f6fe37b25986afae05eae9ce0e2da93ff89 | {"profiler":"profile_dataset","profiled_at":"2026-06-19T02:20:53.569414+00:00","paradigm":"two-step-task","columns_examined":["action","age","block_spec","correct","correct_outcome","correct_response","decision","decision_freedom","encoding_applicable","experiment_phase","feature_vector","feedback","gender","imputed","... | null | |
gershman2020_reward | exp1 | deterministic-stimulus-response-classification-learning | 85 | [
441,
735
] | {
"subject_id": 1,
"age": 0,
"sex": 0,
"gender": 0,
"trial_global": 1,
"step": 1,
"trial_block": 1,
"trial_within_block": 1,
"imputed": 1,
"experiment_phase": 1,
"task_phase": 1,
"subject_spec": 1,
"block_spec": 1,
"trial_spec": 1,
"step_spec": 1,
"decision": 1,
"decision_freedom": 1,
... | {"step":{"step":{"n_distinct":1,"between_subject":false,"dtype":"numeric","values":[0]}},"trial_block":{"trial_block":{"n_distinct":13,"between_subject":false,"dtype":"numeric","values":[0,1,2,3,4,5,6,7,8,9,10,11,12]}},"imputed":{"imputed":{"n_distinct":1,"between_subject":false,"dtype":"numeric","values":[0]}},"experi... | {"age":0.0,"sex":0.0,"gender":0.0,"subject_spec.group":1.0} | [
"classification_accuracy"
] | data\datasets\gershman2020_reward\exp_1.parquet | b48af6a3fde3bbe246c9028eac9053e025bb98316620c9b6a96f48147ffee7e7 | {"profiler":"profile_dataset","profiled_at":"2026-06-19T02:20:53.076184+00:00","paradigm":"deterministic-stimulus-response-classification-learning","columns_examined":["action","age","block_spec","correct","correct_outcome","correct_response","decision","decision_freedom","encoding_applicable","experiment_phase","featu... | null | |
jansen2021_logic | exp1 | logical-reasoning | 3,543 | [
30,
30
] | {
"subject_id": 1,
"age": 0.9974597798,
"sex": 1,
"gender": 0.9977420265,
"trial_global": 1,
"step": 1,
"trial_block": 1,
"trial_within_block": 1,
"imputed": 1,
"experiment_phase": 1,
"task_phase": 0.6666666667,
"subject_spec": 1,
"block_spec": 1,
"trial_spec": 1,
"step_spec": 1,
"decisi... | {"age":{"age":{"n_distinct":61,"between_subject":true,"dtype":"numeric","min":18.0,"max":81.0}},"sex":{"sex":{"n_distinct":3,"between_subject":true,"dtype":"string","values":["female","male","other"]}},"gender":{"gender":{"n_distinct":3,"between_subject":true,"dtype":"string","values":["man","other","woman"]}},"step":{... | {"age":0.9974597798,"sex":1.0,"gender":0.9977420265,"subject_spec.race":1.0} | [] | data\datasets\jansen2021_logic\exp_1.parquet | 19ef85380c39991cb42afebc6406189744f0c4c6abc64bcb115584af06106dbc | {"profiler":"profile_dataset","profiled_at":"2026-06-19T02:20:53.622283+00:00","paradigm":"logical-reasoning","columns_examined":["action","age","block_spec","correct","correct_outcome","correct_response","decision","decision_freedom","encoding_applicable","experiment_phase","feature_vector","feedback","gender","impute... | null | |
feher2023_rethinking | exp1 | two-step-task | 94 | [
295,
300
] | {
"subject_id": 1,
"age": 0,
"sex": 0,
"gender": 0,
"trial_global": 1,
"step": 1,
"trial_block": 1,
"trial_within_block": 1,
"imputed": 1,
"experiment_phase": 1,
"task_phase": 1,
"subject_spec": 1,
"block_spec": 1,
"trial_spec": 1,
"step_spec": 1,
"decision": 1,
"decision_freedom": 1,
... | {"step":{"step":{"n_distinct":2,"between_subject":false,"dtype":"numeric","values":[0,1]}},"trial_block":{"trial_block":{"n_distinct":1,"between_subject":false,"dtype":"numeric","values":[0]}},"imputed":{"imputed":{"n_distinct":1,"between_subject":false,"dtype":"numeric","values":[0]}},"experiment_phase":{"experiment_p... | {"age":0.0,"sex":0.0,"gender":0.0} | [] | data\datasets\feher2023_rethinking\exp_1.parquet | 60860527d2eb8645b2323b18a6e8caf572d104b26a2fec78e8694f2f8c9eba9a | {"profiler":"profile_dataset","profiled_at":"2026-06-19T15:15:10.182428+00:00","paradigm":"two-step-task","columns_examined":["action","age","block_spec","correct","correct_outcome","correct_response","decision","decision_freedom","encoding_applicable","experiment_phase","feature_vector","feedback","gender","imputed","... | null | |
levering2020_revisiting | exp1 | category-structure-learning | 270 | [
166,
166
] | {
"subject_id": 1,
"age": 0,
"sex": 0,
"gender": 0,
"trial_global": 1,
"step": 1,
"trial_block": 1,
"trial_within_block": 1,
"imputed": 1,
"experiment_phase": 1,
"task_phase": 1,
"subject_spec": 1,
"block_spec": 1,
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"step_spec": 1,
"decision": 1,
"decision_freedom": 1,
... | {"step":{"step":{"n_distinct":2,"between_subject":false,"dtype":"numeric","values":[0,1]}},"trial_within_block":{"trial_within_block":{"n_distinct":8,"between_subject":false,"dtype":"numeric","values":[0,1,2,3,4,5,6,7]}},"imputed":{"imputed":{"n_distinct":1,"between_subject":false,"dtype":"numeric","values":[0]}},"expe... | {"age":0.0,"sex":0.0,"gender":0.0} | [] | data\datasets\levering2020_revisiting\exp_1.parquet | d8d36c9738cebeb39e4536cb2f7b08608e3b3ea85b5185ba7ab8c7f85992660f | {"profiler":"profile_dataset","profiled_at":"2026-06-19T15:15:10.215026+00:00","paradigm":"category-structure-learning","columns_examined":["action","age","block_spec","correct","correct_outcome","correct_response","decision","decision_freedom","encoding_applicable","experiment_phase","feature_vector","feedback","gende... | null | |
abeles-et-al-2023 | exp_1 | motor-sequence-learning | 460 | [
399,
8803
] | {
"subject_id": 1,
"age": 1,
"sex": 1,
"gender": 1,
"trial_global": 1,
"step": 1,
"trial_block": 1,
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"imputed": 1,
"experiment_phase": 1,
"task_phase": 0.9955298449,
"subject_spec": 1,
"block_spec": 1,
"trial_spec": 1,
"step_spec": 1,
"decision": 1,
"decision_fr... | {"age":{"age":{"n_distinct":58,"between_subject":true,"dtype":"numeric","min":18,"max":78}},"sex":{"sex":{"n_distinct":2,"between_subject":true,"dtype":"string","values":["female","male"]}},"gender":{"gender":{"n_distinct":2,"between_subject":true,"dtype":"string","values":["man","woman"]}},"trial_block":{"trial_block"... | {"age":1.0,"sex":1.0,"gender":1.0} | [] | data\datasets\abeles-et-al-2023\exp_1.parquet | c3ee19f4a7d6b4b31bb0a8d9eebbd3b8beb987f937ca02906a52d0fb1beb7a78 | {"profiler":"profile_dataset","profiled_at":"2026-07-15T16:50:48.725294+00:00","paradigm":"motor-sequence-learning","columns_examined":["action","age","block_spec","correct","correct_outcome","correct_response","decision","decision_freedom","encoding_applicable","experiment_phase","feature_vector","feedback","gender","... | null | |
abir-et-al-2023 | exp_1 | active-search | 194 | [
408,
2364
] | {
"subject_id": 1,
"age": 0,
"sex": 0,
"gender": 0,
"trial_global": 1,
"step": 1,
"trial_block": 1,
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"imputed": 1,
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... | {"step":{"step":{"n_distinct":2,"between_subject":false,"dtype":"numeric","values":[0,1]}},"trial_block":{"trial_block":{"n_distinct":23,"between_subject":false,"dtype":"numeric","values":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22]}},"imputed":{"imputed":{"n_distinct":1,"between_subject":false,"dtype":... | {"age":0.0,"sex":0.0,"gender":0.0} | [] | data\datasets\abir-et-al-2023\exp_1.parquet | 2ad9c72195b3fb5c336813e64cec9a467fd6a03f69d7a8494d75d01fa2b3527c | {"profiler":"profile_dataset","profiled_at":"2026-07-15T16:51:57.397378+00:00","paradigm":"active-search","columns_examined":["action","age","block_spec","correct","correct_outcome","correct_response","decision","decision_freedom","encoding_applicable","experiment_phase","feature_vector","feedback","gender","imputed","... | null | |
aczl-kovcs-2021 | exp_1 | response-interference-conflict-control | 132 | [
42,
42
] | {
"subject_id": 1,
"age": 0,
"sex": 0,
"gender": 0,
"trial_global": 1,
"step": 1,
"trial_block": 1,
"trial_within_block": 1,
"imputed": 1,
"experiment_phase": 1,
"task_phase": 0,
"subject_spec": 1,
"block_spec": 1,
"trial_spec": 1,
"step_spec": 1,
"decision": 1,
"decision_freedom": 1,
... | {"step":{"step":{"n_distinct":1,"between_subject":false,"dtype":"numeric","values":[0]}},"trial_block":{"trial_block":{"n_distinct":1,"between_subject":false,"dtype":"numeric","values":[0]}},"imputed":{"imputed":{"n_distinct":1,"between_subject":false,"dtype":"numeric","values":[0]}},"experiment_phase":{"experiment_pha... | {"age":0.0,"sex":0.0,"gender":0.0} | [] | data\datasets\aczl-kovcs-2021\exp_1.parquet | bdcbd579bdebc056ab92b21e5af34a911a117fbf0707493c4648bd4a2ba708fc | {"profiler":"profile_dataset","profiled_at":"2026-07-19T23:18:11.481171+00:00","paradigm":"response-interference-conflict-control","columns_examined":["action","age","block_spec","correct","correct_outcome","correct_response","decision","decision_freedom","encoding_applicable","experiment_phase","feature_vector","feedb... | null | |
aczl-kovcs-2021 | exp_2 | response-interference-conflict-control | 163 | [
42,
74
] | {
"subject_id": 1,
"age": 0,
"sex": 0,
"gender": 0,
"trial_global": 1,
"step": 1,
"trial_block": 1,
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"imputed": 1,
"experiment_phase": 1,
"task_phase": 0,
"subject_spec": 1,
"block_spec": 1,
"trial_spec": 1,
"step_spec": 1,
"decision": 1,
"decision_freedom": 1,
... | {"step":{"step":{"n_distinct":1,"between_subject":false,"dtype":"numeric","values":[0]}},"trial_block":{"trial_block":{"n_distinct":1,"between_subject":false,"dtype":"numeric","values":[0]}},"imputed":{"imputed":{"n_distinct":1,"between_subject":false,"dtype":"numeric","values":[0]}},"experiment_phase":{"experiment_pha... | {"age":0.0,"sex":0.0,"gender":0.0} | [] | data\datasets\aczl-kovcs-2021\exp_2.parquet | 76742f8d9e6b2770d54650d78233ca6835fb2f8d212b46b9db1793136c7fc61f | {"profiler":"profile_dataset","profiled_at":"2026-07-19T23:18:12.549536+00:00","paradigm":"response-interference-conflict-control","columns_examined":["action","age","block_spec","correct","correct_outcome","correct_response","decision","decision_freedom","encoding_applicable","experiment_phase","feature_vector","feedb... | null | |
aczl-kovcs-2021 | exp_3 | response-interference-conflict-control | 80 | [
42,
74
] | {
"subject_id": 1,
"age": 0,
"sex": 0,
"gender": 0,
"trial_global": 1,
"step": 1,
"trial_block": 1,
"trial_within_block": 1,
"imputed": 1,
"experiment_phase": 1,
"task_phase": 0,
"subject_spec": 1,
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"trial_spec": 1,
"step_spec": 1,
"decision": 1,
"decision_freedom": 1,
... | {"step":{"step":{"n_distinct":1,"between_subject":false,"dtype":"numeric","values":[0]}},"trial_block":{"trial_block":{"n_distinct":1,"between_subject":false,"dtype":"numeric","values":[0]}},"imputed":{"imputed":{"n_distinct":1,"between_subject":false,"dtype":"numeric","values":[0]}},"experiment_phase":{"experiment_pha... | {"age":0.0,"sex":0.0,"gender":0.0} | [] | data\datasets\aczl-kovcs-2021\exp_3.parquet | 4234a1a848d52fcee6a3a41bfbfa4bbd9f066c931202e4f3b3b9b8c85efdff95 | {"profiler":"profile_dataset","profiled_at":"2026-07-19T23:18:13.030868+00:00","paradigm":"response-interference-conflict-control","columns_examined":["action","age","block_spec","correct","correct_outcome","correct_response","decision","decision_freedom","encoding_applicable","experiment_phase","feature_vector","feedb... | null | |
aho-roads-2022 | exp_1 | cross-domain-paired-associate-learning | 493 | [
31,
150
] | {
"subject_id": 1,
"age": 1,
"sex": 1,
"gender": 0,
"trial_global": 1,
"step": 1,
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"imputed": 1,
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"step_spec": 1,
"decision": 1,
"decision_freedom": 0.7... | {"age":{"age":{"n_distinct":51,"between_subject":true,"dtype":"numeric","min":20,"max":98}},"sex":{"sex":{"n_distinct":3,"between_subject":true,"dtype":"string","values":["female","male","other"]}},"step":{"step":{"n_distinct":2,"between_subject":false,"dtype":"numeric","values":[0,1]}},"trial_block":{"trial_block":{"n... | {"age":1.0,"sex":1.0,"gender":0.0} | [] | data\datasets\aho-roads-2022\exp_1.parquet | 314501a3ae0956e52586f587867a56745bfb8e91842d4bba94e7f95e4708f8c0 | {"profiler":"profile_dataset","profiled_at":"2026-07-20T15:21:06.728660+00:00","paradigm":"cross-domain-paired-associate-learning","columns_examined":["action","age","block_spec","correct","correct_outcome","correct_response","decision","decision_freedom","encoding_applicable","experiment_phase","feature_vector","feedb... | null | |
aldegheri-gayet-2023 | exp_1 | scene-context-object-transformation-prediction | 50 | [
195,
195
] | {
"subject_id": 1,
"age": 0,
"sex": 0,
"gender": 0,
"trial_global": 1,
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... | {"step":{"step":{"n_distinct":3,"between_subject":false,"dtype":"numeric","values":[0,1,2]}},"trial_block":{"trial_block":{"n_distinct":9,"between_subject":false,"dtype":"numeric","values":[0,1,2,3,4,5,6,7,8]}},"trial_within_block":{"trial_within_block":{"n_distinct":24,"between_subject":false,"dtype":"numeric","values... | {"age":0.0,"sex":0.0,"gender":0.0} | [] | data\datasets\aldegheri-gayet-2023\exp_1.parquet | de6644cc9cfcdeaec777473e0b79aaf2c79d4266897b668c32e8af308176a64e | {"profiler":"profile_dataset","profiled_at":"2026-07-19T23:18:14.088308+00:00","paradigm":"scene-context-object-transformation-prediction","columns_examined":["action","age","block_spec","correct","correct_outcome","correct_response","decision","decision_freedom","encoding_applicable","experiment_phase","feature_vector... | null | |
aldegheri-gayet-2023 | exp_2 | scene-context-object-transformation-prediction | 50 | [
195,
195
] | {
"subject_id": 1,
"age": 0,
"sex": 0,
"gender": 0,
"trial_global": 1,
"step": 1,
"trial_block": 1,
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"imputed": 1,
"experiment_phase": 1,
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"subject_spec": 1,
"block_spec": 1,
"trial_spec": 1,
"step_spec": 1,
"decision": 1,
"decision_freedom": 1,
... | {"step":{"step":{"n_distinct":3,"between_subject":false,"dtype":"numeric","values":[0,1,2]}},"trial_block":{"trial_block":{"n_distinct":9,"between_subject":false,"dtype":"numeric","values":[0,1,2,3,4,5,6,7,8]}},"trial_within_block":{"trial_within_block":{"n_distinct":24,"between_subject":false,"dtype":"numeric","values... | {"age":0.0,"sex":0.0,"gender":0.0} | [] | data\datasets\aldegheri-gayet-2023\exp_2.parquet | 8a5947e20f2b13d3d6fb6c3c997e9a0702c4345a695a895ab60d87887174a6a7 | {"profiler":"profile_dataset","profiled_at":"2026-07-19T23:18:15.168960+00:00","paradigm":"scene-context-object-transformation-prediction","columns_examined":["action","age","block_spec","correct","correct_outcome","correct_response","decision","decision_freedom","encoding_applicable","experiment_phase","feature_vector... | null | |
aldegheri-gayet-2023 | exp_3 | scene-context-object-transformation-prediction | 52 | [
195,
195
] | {
"subject_id": 1,
"age": 0,
"sex": 0,
"gender": 0,
"trial_global": 1,
"step": 1,
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"imputed": 1,
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althaus-lahiri-2024 | exp_1 | intermodal-preferential-looking-word-recognition | 45 | [
128,
992
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amasino-sullivan-2019 | exp_1 | intertemporal-choice | 117 | [
141,
141
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amasino-sullivan-2019 | exp_2 | intertemporal-choice | 100 | [
141,
141
] | {
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amir-et-al-2022 | exp_1 | combinatorial-game-planning | 914 | [
1,
223
] | {
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andersen-schjoedt-2020 | exp_1 | recreational-fear-haunted-attraction | 110 | [
7,
25
] | {
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angulochavira-castelln-flores-2023 | exp_1 | cloze-sentence-completion | 1,470 | [
1,
117
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anikin-2025 | exp_1 | voice-attribute-perceptual-rating | 301 | [
75,
150
] | {
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anikin-2025 | exp_2 | voice-attribute-perceptual-rating | 59 | [
91,
163
] | {
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anthony-wong-2023 | exp_1 | autobiographical-memory-retrieval | 95 | [
93,
120
] | {
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antony-et-al-2022 | exp_1 | episodic-memory | 200 | [
169,
606
] | {
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antony-et-al-2022 | exp_2 | episodic-memory | 200 | [
81,
81
] | {
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antony-et-al-2022 | exp_3 | episodic-memory | 200 | [
81,
81
] | {
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antony-et-al-2022 | exp_4 | episodic-memory | 200 | [
81,
81
] | {
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antony-et-al-2022 | exp_5 | episodic-memory | 200 | [
81,
81
] | {
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