This Excel file contains a compilation of low cycle fatigue (LCF) and thermomechanical fatigue (TMF) data for single-crystal (SX) and directionally-solidified (DS) Ni-base superalloys that are typically used for blades and vanes in gas turbines. Most of the data is generated by strain-controlled uniaxial fatigue tests. Both continuous cycling and cycles with dwells (hold times) at either the maximum or minimum of the cycle are included in the dataset. Several different alloys with similar mechanical behaviors are included in the dataset. The dataset only includes materials that have undergone a solution and age heat treatment typical of that applied to blade and vane components. All the fatigue data in this dataset is limited to uniaxial cyclic loading in the <001> direction for SX and in the longitudinal direction for DS alloys. The data in this dataset has been extracted from the public domain. The sources of the data are included in the Excel file. This data is used to train a Probabilistic Physics-guided Neural Network (PPgNN) that outputs a strain-life curve, including the mean response and 95% confidence intervals. The INPUTS and OUTPUTS used in the PPgNN are highlighted in the Excel file.