This is a first-of-its-kind ground-truth dataset for anomaly detection and classification on nanoindentation load displacement curves. Using nanoindentation data from the experiments described in "A Workflow for Accelerating Multimodal Data Collection for Electrodeposited Films," this dataset includes 9600 expert-labelled indents: 64 indents per sample over 150 samples. These 150 samples consitute NiFe thin films electrodeposited under a variety of current densities and solutions--creating rich coverage for a variety of anomaly types. The dataset includes all load-displacement curve data, machine-derived summary data for each indent (including computed hardness and reduced modulus), expert annotations, initial anomaly labels, and a second set of anomaly labels for higher fidelity ground truth. The software used to facilitate the consistency checks/reverification process for the second label set is openly available at https://github.com/sandialabs/nanoindentation-consistency-checker. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.