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example.json
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[
[
{
"title": "UCI Datasets for structure estimation tasks",
"zenodoid": "8063512",
"zenododoi": "https://doi.org/10.5281/zenodo.8063512",
"authors": ["Mathematical Research Data Initiative"],
"license": "Creative Commons Attribution 4.0 International",
"keywords": ["MaRDI", "UCI Datasets", "Causal Inference", "Statistical modelling", "TA3", "Structured Data", "Structure Learning", "Probabilistic Graphical Modelling", "Continuous Data", "Count Data", "Ordinal Data", "Categorical Data", "Binary Data"],
"url": "https://zenodo.org/api/records/8063512",
"downloads": 180,
"views": 144,
"Numb_of_features": [16, 68],
"Ground_truth": "no",
"Size": ["9358", "2458285"],
"Type_of_graph": "unknown",
"Author_references": ["S. de Vito and E. Massera and M. Piga and L. Martinotto and G. di Francia", "Meek, Thiesson and Heckerman (2001)"],
"One_sentence_description": "Two preprocessed datasets collected from the UCI repository for structure learning from multivariate data."
}
],
[
{
"title": "Pharmacological dataset on drug-induced TdP risk assessment",
"zenodoid": "8058964",
"zenododoi": "https://doi.org/10.5281/zenodo.8058964",
"authors": ["Mathematical Research Data Initiative"],
"license": "Creative Commons Attribution 4.0 International",
"keywords": ["MaRDI", "TA3", "Probabilistic Graphical Modelling", "Causal Inference", "Curated Dataset", "Pharmaceutical data", "Continuous Data", "Count Data"],
"url": "https://zenodo.org/api/records/8058964",
"downloads": 117,
"views": 224,
"Numb_of_features": [16],
"Ground_truth": "yes",
"Size": ["109"],
"Type_of_graph": "unknown",
"Author_references": ["Llopis-Lorente, J., Gomis-Tena, J., Cano, J., Romero, L., Saiz, J., & Trenor, B. (2020). In silico classifiers for the assessment of drug proarrhythmicity. Journal of Chemical Information and Modeling, 60(10), 5172--5187.", "Al-Ali, S., Llopis-Lorente, J., Mora, M. T., Seremesant, M., Trenor, B., & Balelli, I. (2023). A causal discovery approach for streamline ion channels selection to improve drug-induced tdp risk assessment."],
"One_sentence_description": "A manually collected dataset that investigates the proarrhythmic risk of 109 drugs using parameters obtained from biophysical models."
}
],
[
{
"title": "Causal Dataset for cause-effect pairs from Tübingen repository",
"zenodoid": "7886287",
"zenododoi": "https://doi.org/10.5281/zenodo.7886287",
"authors": ["Mathematical Research Data Initiative"],
"license": "Creative Commons Attribution 4.0 International",
"keywords": ["Causal inference", "MaRDI", "TA3", "Cause-effect analysis", "Probabilistic Graphical Modelling", "Datasets Collection", "Tübingen Repository", "Continuous Data", "Count Data"],
"url": "https://zenodo.org/api/records/7886287",
"downloads": 64,
"views": 157,
"Numb_of_features": [2],
"Ground_truth": "yes",
"Size": ["83 datasets"],
"Type_of_graph": "directed",
"Author_references": ["max-planck-institute for biological cybernetics", "d. janzing", "j. m. mooij", "j. peters", "j. zscheischler", "b. schoelkopf"],
"One_sentence_description": "A two-dimensional database with cause-effect pairs from various datasets, where one variable is known to cause the other."
}
],
[
{
"title": "Empathy dataset",
"zenodoid": "7683907",
"zenododoi": "https://doi.org/10.5281/zenodo.7683907",
"authors": ["Mathematical Research Data Initiative"],
"license": "Creative Commons Attribution Share Alike 4.0 International",
"keywords": ["Causal Inference", "MaRDI", "TA3", "Probabilistic Graphical Modelling", "Count Data"],
"url": "https://zenodo.org/api/records/7683907",
"downloads": 110,
"views": 136,
"Numb_of_features": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28],
"Ground_truth": true,
"Size": ["1973*28", "1270"],
"Type_of_graph": "mixed graph",
"Author_references": ["Braun et al.", "Davis (1980)"],
"One_sentence_description": "The dataset contains 1973 French-speaking students' questionnaire responses assessing empathy and other components."
}
],
[
{
"title": "Isoprenoid gene network in Arabidopsis thaliana",
"zenodoid": "7682903",
"zenododoi": "https://doi.org/10.5281/zenodo.7682903",
"authors": ["Mathematical Research Data Initiative"],
"license": "Creative Commons Attribution Share Alike 4.0 International",
"keywords": ["Causal Inference", "Gene Regulatory Network", "MaRDI", "TA3", "Probabilistic Graphical Modelling", "Gene Expression Dataset"],
"url": "https://zenodo.org/api/records/7682903",
"downloads": 101,
"views": 118,
"Numb_of_features": ["gene expression", "microarrays", "genechip"],
"Ground_truth": "yes",
"Size": ["118*40", "40"],
"Type_of_graph": "mixed graph",
"Author_references": ["Arabidopsis thaliana gene expression data set", "Affymetrix microarrays"],
"One_sentence_description": "The dataset contains 118 genechip microarray measurements of Arabidopsis thaliana gene expression under various experimental conditions."
}
],
[
{
"title": "BEELINE datasets",
"zenodoid": "7682713",
"zenododoi": "https://doi.org/10.5281/zenodo.7682713",
"authors": ["Mathematical Research Data Initiative"],
"license": "Creative Commons Attribution Non Commercial Share Alike 4.0 International",
"keywords": ["Causal Inference", "MaRDI", "TA3", "Synthetic datasets", "Probabilistic Graphical Modelling", "In Silico Dataset", "Benchmarking", "Bayesian Network", "Continuous Data"],
"url": "https://zenodo.org/api/records/7682713",
"downloads": 24,
"views": 133,
"Numb_of_features": [6, 19],
"Ground_truth": "yes",
"Size": ["over 400 simulated datasets", "groups of curated and synthetic datasets for gene expressions from single cell data"],
"Type_of_graph": "directed, mixed",
"Author_references": ["beeline_description.html"],
"One_sentence_description": "A collection of over 400 simulated datasets for benchmarking algorithms for gene regulatory network inference."
}
],
[
{
"title": "Sachs dataset",
"zenodoid": "7681811",
"zenododoi": "https://doi.org/10.5281/zenodo.7681811",
"authors": ["Mathematical Research Data Initiative"],
"license": "Creative Commons Attribution Share Alike 4.0 International",
"keywords": ["Causal Inference", "MaRDI", "TA3", "Probabilistic Graphical Modelling", "Gene Expression", "Sachs Datasets Collection", "Protein Expression Levels"],
"url": "https://zenodo.org/api/records/7681811",
"downloads": 47,
"views": 254,
"Numb_of_features": [10, 11],
"Ground_truth": "yes",
"Size": ["14 datasets with number of observations varying from 707 to 927"],
"Type_of_graph": "unknown",
"Author_references": ["Sachs"],
"One_sentence_description": "The Sachs dataset measures the expression level of different proteins and phospholipids in human cells."
}
],
[
{
"title": "bnlearn datasets",
"zenodoid": "7676616",
"zenododoi": "https://doi.org/10.5281/zenodo.7676616",
"authors": ["Mathematical Research Data Initiative"],
"license": "MIT License",
"keywords": ["Causal Inference", "Bayesian Network", "MaRDI", "TA3", "Standard datasets", "Probabilistic Graphical Modelling", "Bnlearn Package", "Bnlearn Datasets Collection", "Categorical Data", "Binary Data"],
"url": "https://zenodo.org/api/records/7676616",
"downloads": 33,
"views": 109,
"Numb_of_features": [3, 37, 6, 56],
"Ground_truth": "yes",
"Size": ["5 simple datasets"],
"Type_of_graph": "directed graph",
"Author_references": ["Bayesian Network Repository"],
"One_sentence_description": "A collection of various structure learning datasets from the Bayesian Network Repository."
}
],
[
{
"title": "Precipitation dataset",
"zenodoid": "7676479",
"zenododoi": "https://doi.org/10.5281/zenodo.7676479",
"authors": ["Mathematical Research Data Initiative"],
"license": "Creative Commons Attribution Share Alike 4.0 International",
"keywords": ["Causal Inference", "MaRDI", "TA3", "Probabilistic Graphical Modelling", "Meteorological Dataset", "Weather Prediction", "Undirected Graphical Models", "Count Data"],
"url": "https://zenodo.org/api/records/7676479",
"downloads": 116,
"views": 123,
"Numb_of_features": [100],
"Ground_truth": "yes",
"Size": ["371*100"],
"Type_of_graph": "undirected",
"Author_references": ["unknown"],
"One_sentence_description": "A dataset of binary indicators of precipitation at 92 weather stations across four states in the Midwest region of the U.S."
}
],
[
{
"title": "Psychological Pertubation Dataset",
"zenodoid": "7674303",
"zenododoi": "https://doi.org/10.5281/zenodo.7674303",
"authors": ["Mathematical Research Data Initiative"],
"license": "Creative Commons Attribution Share Alike 4.0 International",
"keywords": ["Causal Inference", "MaRDI", "TA3", "Directed graphical models", "Probabilistic Graphical Modelling", "Questionnaire", "Count Data"],
"url": "https://zenodo.org/api/records/7674303",
"downloads": 89,
"views": 98,
"Numb_of_features": [11],
"Ground_truth": "yes",
"Size": ["360*11"],
"Type_of_graph": "directed graph",
"Author_references": ["psychological_pertubation_description.html"],
"One_sentence_description": "A dataset containing questionnaire data from 30 participants on meat consumption, used to infer causal relations between variables."
}
]
]