{
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  "Package": "NeuroDataSets",
  "Type": "Package",
  "Title": "A Comprehensive Collection of Neuroscience and Brain-Related\nDatasets",
  "Version": "0.3.0",
  "Maintainer": "Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>",
  "Description": "Offers a rich and diverse collection of datasets focused\non the brain, nervous system, and related disorders. The\npackage includes clinical, experimental, neuroimaging,\nbehavioral, cognitive, and simulated data on conditions such as\nParkinson's disease, Alzheimer's disease, dementia, epilepsy,\nschizophrenia, autism spectrum disorder, attention deficit,\nhyperactivity disorder, Tourette's syndrome, traumatic brain\ninjury, gliomas, migraines, headaches, sleep disorders,\nconcussions, encephalitis, subarachnoid hemorrhage, and mental\nhealth conditions. Datasets cover structural and functional\nbrain data, cross-sectional and longitudinal MRI imaging\nstudies, neurotransmission, gene expression, cognitive\nperformance, intelligence metrics, sleep deprivation effects,\ntreatment outcomes, brain-body relationships across species,\nneurological injury patterns, and acupuncture interventions.\nData sources include peer-reviewed studies, clinical trials,\nmilitary health records, sports injury databases, and\ninternational comparative studies. Designed for researchers,\nneuroscientists, clinicians, psychologists, data scientists,\nand students, this package facilitates exploratory data\nanalysis, statistical modeling, and hypothesis testing in\nneuroscience and neuroepidemiology.",
  "License": "GPL-3",
  "Language": "en",
  "URL": "https://github.com/lightbluetitan/neurodatasets,\nhttps://lightbluetitan.github.io/neurodatasets/",
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  "Authors@R": "person(\ngiven = \"Renzo\",\nfamily = \"Caceres Rossi\",\nrole = c(\"aut\", \"cre\"),\nemail = \"arenzocaceresrossi@gmail.com\",\ncomment = c(ORCID = \"0009-0005-0744-854X\")\n)",
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  "Repository": "https://lightbluetitan.r-universe.dev",
  "Date/Publication": "2025-11-23 04:10:44 UTC",
  "RemoteUrl": "https://github.com/lightbluetitan/neurodatasets",
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  "NeedsCompilation": "no",
  "Packaged": {
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    "User": "root"
  },
  "Author": "Renzo Caceres Rossi [aut, cre] (ORCID:\n<https://orcid.org/0009-0005-0744-854X>)",
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    "aba_phenotype_data_df",
    "ability_intelligence_list",
    "acupuncture_df",
    "AD_biomarkers_tbl_df",
    "ADHD_df",
    "adolescent_mental_health_df",
    "alzheimer_smoking_df",
    "ASD_risks_tbl_df",
    "bilingual_brains_df",
    "blood_brain_barrier_df",
    "brain_litter_mammals_df",
    "brain_size_iq_df",
    "brain_string_players_df",
    "brainexpression_df",
    "brains_cognitive_matrix",
    "brainvolume_df",
    "cerebellar_age_df",
    "chimpbrains_df",
    "cocaine_dopamine_df",
    "DA_schizophrenia_tbl_df",
    "dementia_df",
    "encephalitis_df",
    "epilepsy_drug_qol_df",
    "epilepsy_drug_trial_df",
    "epilepsy_RCT_tbl_df",
    "gm_expected_patterns_tbl_df",
    "guineapig_neuro_df",
    "hippocampus_lesions_df",
    "iq_country_tbl_df",
    "mammals_brain_body_df",
    "markers_brain_df",
    "markers_human_brain_df",
    "markers_mouse_brain_df",
    "migraine_treatment_df",
    "migraines_df",
    "migrane_dose_df",
    "neanderthal_brains_df",
    "neuro_pointprocess_matrix",
    "neurodeg_dose_df",
    "nfl_concussions_tbl_df",
    "OASIS_cross_tbl_df",
    "OASIS_long_tbl_df",
    "parkinsons_dopamine_list",
    "pediatric_glioma_tbl_df",
    "psych_neurocog_df",
    "SAHemorrhage_df",
    "sleep_deprivation_tbl_df",
    "sleep_disorder_df",
    "sleep_performance_df",
    "subcortical_patterns_tbl_df",
    "TBI_age_tbl_df",
    "TBI_military_tbl_df",
    "TBI_steroids_df",
    "tourette_ADHD_df",
    "view_datasets_NeuroDataSets",
    "WMpatterns_tbl_df"
  ],
  "_datasets": [
    {
      "name": "aba_phenotype_data_df",
      "title": "Allen Brain Atlas Phenotype Data",
      "object": "aba_phenotype_data_df",
      "class": [
        "data.frame"
      ],
      "fields": [
        "structure_acronym.x",
        "ihc_iba1_ffpe",
        "ihc_gfap_ffpe",
        "id"
      ],
      "rows": 377,
      "table": true,
      "tojson": true
    },
    {
      "name": "ability_intelligence_list",
      "title": "Ability and Intelligence Tests",
      "object": "ability_intelligence_list",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "acupuncture_df",
      "title": "Acupuncture Therapy for Chronic Headache",
      "object": "acupuncture_df",
      "class": [
        "data.frame"
      ],
      "fields": [
        "group",
        "pk1",
        "pk5",
        "change"
      ],
      "rows": 301,
      "table": true,
      "tojson": true
    },
    {
      "name": "AD_biomarkers_tbl_df",
      "title": "Alzheimer's Biomarkers",
      "object": "AD_biomarkers_tbl_df",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "ACE_CD143_Angiotensin_Converti",
        "ACTH_Adrenocorticotropic_Hormon",
        "AXL",
        "Adiponectin",
        "Alpha_1_Antichymotrypsin",
        "Alpha_1_Antitrypsin",
        "Alpha_1_Microglobulin",
        "Alpha_2_Macroglobulin",
        "Angiopoietin_2_ANG_2",
        "Angiotensinogen",
        "Apolipoprotein_A_IV",
        "Apolipoprotein_A1",
        "Apolipoprotein_A2",
        "Apolipoprotein_B",
        "Apolipoprotein_CI",
        "Apolipoprotein_CIII",
        "Apolipoprotein_D",
        "Apolipoprotein_E",
        "Apolipoprotein_H",
        "B_Lymphocyte_Chemoattractant_BL",
        "BMP_6",
        "Beta_2_Microglobulin",
        "Betacellulin",
        "C_Reactive_Protein",
        "CD40",
        "CD5L",
        "Calbindin",
        "Calcitonin",
        "CgA",
        "Clusterin_Apo_J",
        "Complement_3",
        "Complement_Factor_H",
        "Connective_Tissue_Growth_Factor",
        "Cortisol",
        "Creatine_Kinase_MB",
        "Cystatin_C",
        "EGF_R",
        "EN_RAGE",
        "ENA_78",
        "Eotaxin_3",
        "FAS",
        "FSH_Follicle_Stimulation_Hormon",
        "Fas_Ligand",
        "Fatty_Acid_Binding_Protein",
        "Ferritin",
        "Fetuin_A",
        "Fibrinogen",
        "GRO_alpha",
        "Gamma_Interferon_induced_Monokin",
        "Glutathione_S_Transferase_alpha",
        "HB_EGF",
        "HCC_4",
        "Hepatocyte_Growth_Factor_HGF",
        "I_309",
        "ICAM_1",
        "IGF_BP_2",
        "IL_11",
        "IL_13",
        "IL_16",
        "IL_17E",
        "IL_1alpha",
        "IL_3",
        "IL_4",
        "IL_5",
        "IL_6",
        "IL_6_Receptor",
        "IL_7",
        "IL_8",
        "IP_10_Inducible_Protein_10",
        "IgA",
        "Insulin",
        "Kidney_Injury_Molecule_1_KIM_1",
        "LOX_1",
        "Leptin",
        "Lipoprotein_a",
        "MCP_1",
        "MCP_2",
        "MIF",
        "MIP_1alpha",
        "MIP_1beta",
        "MMP_2",
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        "MMP10",
        "MMP7",
        "Myoglobin",
        "NT_proBNP",
        "NrCAM",
        "Osteopontin",
        "PAI_1",
        "PAPP_A",
        "PLGF",
        "PYY",
        "Pancreatic_polypeptide",
        "Prolactin",
        "Prostatic_Acid_Phosphatase",
        "Protein_S",
        "Pulmonary_and_Activation_Regulat",
        "RANTES",
        "Resistin",
        "S100b",
        "SGOT",
        "SHBG",
        "SOD",
        "Serum_Amyloid_P",
        "Sortilin",
        "Stem_Cell_Factor",
        "TGF_alpha",
        "TIMP_1",
        "TNF_RII",
        "TRAIL_R3",
        "TTR_prealbumin",
        "Tamm_Horsfall_Protein_THP",
        "Thrombomodulin",
        "Thrombopoietin",
        "Thymus_Expressed_Chemokine_TECK",
        "Thyroid_Stimulating_Hormone",
        "Thyroxine_Binding_Globulin",
        "Tissue_Factor",
        "Transferrin",
        "Trefoil_Factor_3_TFF3",
        "VCAM_1",
        "VEGF",
        "Vitronectin",
        "von_Willebrand_Factor",
        "age",
        "tau",
        "p_tau",
        "Ab_42",
        "male",
        "Genotype",
        "Class"
      ],
      "rows": 333,
      "table": true,
      "tojson": true
    },
    {
      "name": "ADHD_df",
      "title": "ADHD Symptom Checklist for Children Aged 6–8 Years",
      "object": "ADHD_df",
      "class": [
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      ],
      "fields": [
        "group",
        "avoid",
        "closeatt",
        "distract",
        "forget",
        "instruct",
        "listen",
        "loses",
        "org",
        "susatt",
        "blurts",
        "fidget",
        "interrupt",
        "motor",
        "quiet",
        "runs",
        "seat",
        "talks",
        "turn"
      ],
      "rows": 355,
      "table": true,
      "tojson": true
    },
    {
      "name": "adolescent_mental_health_df",
      "title": "Adolescent Mental Health Study",
      "object": "adolescent_mental_health_df",
      "class": [
        "data.frame"
      ],
      "fields": [
        "grade",
        "depression",
        "anxiety"
      ],
      "rows": 4344,
      "table": true,
      "tojson": true
    },
    {
      "name": "alzheimer_smoking_df",
      "title": "Smoking and Alzheimer's Disease",
      "object": "alzheimer_smoking_df",
      "class": [
        "data.frame"
      ],
      "fields": [
        "smoking",
        "disease",
        "gender"
      ],
      "rows": 538,
      "table": true,
      "tojson": true
    },
    {
      "name": "ASD_risks_tbl_df",
      "title": "Autism Spectrum Disorder (ASD) Risk Factors in Children",
      "object": "ASD_risks_tbl_df",
      "class": [
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        "A10_Autism_Spectrum_Quotient",
        "Social_Responsiveness_Scale",
        "Age_Years",
        "Qchat_10_Score",
        "Speech Delay/Language Disorder",
        "Learning disorder",
        "Genetic_Disorders",
        "Depression",
        "Global developmental delay/intellectual disability",
        "Social/Behavioural Issues",
        "Childhood Autism Rating Scale",
        "Anxiety_disorder",
        "Sex",
        "Ethnicity",
        "Jaundice",
        "Family_mem_with_ASD",
        "Who_completed_the_test",
        "ASD_traits"
      ],
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      "table": true,
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    {
      "name": "bilingual_brains_df",
      "title": "Brain Structure in Bilingual Humans",
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        "greymatter"
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    {
      "name": "blood_brain_barrier_df",
      "title": "Blood-Brain Barrier",
      "object": "blood_brain_barrier_df",
      "class": [
        "data.frame"
      ],
      "fields": [
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        "Liver",
        "Time",
        "Treatment",
        "Days",
        "Sex",
        "Weight",
        "Loss",
        "Tumor"
      ],
      "rows": 34,
      "table": true,
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    },
    {
      "name": "brain_litter_mammals_df",
      "title": "Mammal Brain Size and Litter Size Relationship",
      "object": "brain_litter_mammals_df",
      "class": [
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      "fields": [
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        "LitterSize"
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    {
      "name": "brain_size_iq_df",
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        "IQDI"
      ],
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      "name": "brain_string_players_df",
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      "object": "brain_string_players_df",
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      "fields": [
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        "Activity"
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    {
      "name": "brainexpression_df",
      "title": "Proteolipid Protein 1 Gene Expression in Brain Tissue",
      "object": "brainexpression_df",
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        "PLP1.expression"
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      "rows": 45,
      "table": true,
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      "title": "BRAiNS Cohort Cognitive States Matrix",
      "object": "brains_cognitive_matrix",
      "class": [
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        "apoe4",
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        "lowed",
        "headinj"
      ],
      "rows": 6240,
      "table": true,
      "tojson": true
    },
    {
      "name": "brainvolume_df",
      "title": "Meta-Analysis on Human Brain Volume and Intelligence",
      "object": "brainvolume_df",
      "class": [
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      "fields": [
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        "sex",
        "mean_age"
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      "rows": 83,
      "table": true,
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    {
      "name": "cerebellar_age_df",
      "title": "Repeated Measurements of Age and Cerebellar Volume",
      "object": "cerebellar_age_df",
      "class": [
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      ],
      "fields": [
        "Participant",
        "Time",
        "Age",
        "Volume"
      ],
      "rows": 144,
      "table": true,
      "tojson": true
    },
    {
      "name": "chimpbrains_df",
      "title": "Brodmann's Area 44 Asymmetry in Chimpanzees",
      "object": "chimpbrains_df",
      "class": [
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      ],
      "fields": [
        "name",
        "sex",
        "asymmetry"
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    {
      "name": "cocaine_dopamine_df",
      "title": "Effects of Cocaine on Dopamine Receptors",
      "object": "cocaine_dopamine_df",
      "class": [
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      "fields": [
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        "high"
      ],
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      "table": true,
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    },
    {
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