The Lagrangian Tropical Cyclone Precipitation Estimates and Moisture Sources (LagTCPMoS) dataset compiles Lagrangian precipitation estimates and moisture sources for all tropical cyclones (TCs) that occurred in the North Atlantic basin from 1980 to 2023 (Landsea and Franklin, 2013). This dataset was created using the Lagrangian moisture and heat tracking (LATTIN) tool (Pérez-Alarcón et al., 2024), which backtracked up to 10 days the air parcels residing over the TC area (delimited by a fixed and symmetrical radius of 500 km) at each 6-hourly time interval. The air parcel trajectories were filtered from the global outputs (Vázquez et al., 2024) of the Lagrangian particle dispersion model FLEXPART (Pisso et al., 2019). To identify moisture sources, we applied the source attribution method based on the one proposed by Sodemann et al. (2008). We also followed the specific threshold values for TCs found by Pérez-Alarcón et al. (2025). Additionally, we utilized the high-resolution Multi-Source Weighted-Ensemble Precipitation (MSWEP) dataset (Beck et al., 2019) to bias-correct the moisture sources and Lagrangian precipitation estimates, as detailed in Pérez-Alarcón et al. (2025). For each TC, LagTCPMoS has a NetCDF file containing the 6-hourly Lagrangian precipitation estimates and moisture uptake. The file has been named according to the TC code provided by the HURDAT2 dataset (Landsea and Franklin, 2013). This database is fully described in Pérez-Alarcón, A.; Trigo, R.M.; Nieto, R.; and Gimeno, L. (2025). Lagrangian Tropical Cyclone Precipitation Estimates and Moisture Sources (LagTCPMoS) Dataset. Scientific Data. 12, 1161. https://doi.org/10.1038/s41597-025-05490-y.