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TELEMAC-2D Input Operation Codes (python)
This dataset shares the python codes that are written for converting raw data to the TELEMAC-2D readable input format
Automated Fraud Detection Data
These synthesized online fraud detection data sets are used to evaluate different machine learning methods. All features in the data sets, except the amount of transaction and classifier, are masked using a PCA transformation. Classifier is the first column and different instances have different ratios between fraudulent and normal transactions
Replication Data for: Study of Methane Migration in the Shallow Subsurface from a Gas Pipe Leak
Data for manuscript entitled "Study of Methane Migration in the Shallow Subsurface from a Gas Pipe Leak
Stiffness and Strength of Stabilized Organic Soils—Part I/II: Experimental Database and Statistical Description for Machine Learning Modelling
This paper presents the experimental database and corresponding statistical analysis (Part I), which serves as a basis to perform the corresponding parametric analysis and machine learning modelling (Part II) of a comprehensive study on organic soil strength and stiffness, stabilized via the wet soil mixing method. The experimental database includes unconfined compression tests performed under laboratory-controlled conditions to investigate the impact of soil type, the soil’s organic content, the soil’s initial natural water content, binder type, binder quantity, grout to soil ratio, water to binder ratio, curing time, temperature, curing relative humidity and carbon dioxide content on the stabilized organic specimens’ stiffness and strength. A descriptive statistical analysis complements the description of the experimental database, along with a qualitative study on the stabilization hydration process via scanning electron microscopy images. Results confirmed findings on the use of Portland cement alone and a mix of Portland cement with ground granulated blast furnace slag as suitable binders for soil stabilization. Findings on mixes including lime and magnesium oxide cements demonstrated minimal stabilization. Specimen size affected stiffness, but not the strength for mixes of peat and Portland cement. The experimental database, along with all produced data analyses, are available at the Texas Data Repository as indicated in the Data Availability Statement below, to allow for data reproducibility and promote the use of artificial intelligence and machine learning competing modelling techniques as the ones presented in Part II of this paper
Sound Recordings Data
This data comes directly from the Sound Recordings database, the institutional database for cataloging sound recordings in the Harry Ransom Center collections
Pore network and flow pattern--figure 3
Pore network and flow pattern presented in figure
Datasets for figures
Datasets for figure 2--two-pore model
Datasets for figures 5 & 9 --experiments
Datasets for figures 3, 6, 7, 8, & 10 --simulations
Datasets for figures 11 & 12 --discussio
Rob Dataset
French productions (3) and metalinguistic reflections (2) written by Rob (name is a pseudonym). See prompts for tasks in Dataset "Tasks Prompts"
Sea Otter Skeletal Muscle High-Resolution Respirometry
DatLab data files for high-resolution respirometry measures from sea otter skeletal muscle