LIST dataset (Latin Inscriptions in space and time) is an aggregate of EDH and EDCS epigraphic datasets. In total, the dataset consists of 525,870 inscripriptions, enriched by 66 attributes. 77,091 inscriptions are overlapping between the two source datasets (i.e. EDH and EDCS); 3,316 inscriptions are exclusively from EDH; 445,463 inscriptions are exclusively from EDCS. 511,973 inscriptions have valid geospatial coordinates (the `geometry` attribute). This information is also used to determine urban context of each inscription (i.e. whether it is in neighborhood (i.e. within 5000m buffer) of a large city, medium city, or small city or rural (>5000m to any type of city; see the attributes `urban_context`, `urban_context_city`, and `urban_context_pop`). 206,570 inscriptions have numerical date of origin expressed by means of an interval or singular year using the attributes `not_before` and `not_after`. 203,877 inscriptions have both geospatial coordinates and numerically expressed date of origin (see the "geotemporal?" attribute). The dataset also employs a machine learning model to classify the inscipriptions covered exclusively by EDCS in terms of 22 categories employed by EDH. We publish the dataset in the parquet file format. Description of individual attributes is available in separate file. Using `geopandas` library, you can load the data directly into your Python environment using the following command: `LIST = gpd.read_parquet("https://zenodo.org/record/7870085/files/LIST_v0-4.parquet?download=1“)`. The scripts used to generate the dataset are available via GitHub: https://github.com/sdam-au/LI_ETL.