Landslides present a geomorphological hazard in Alpine regions, threatening life, infrastructure and property. Here we present the development of a new regional landslide inventory (RI) for the European Alps. This database provides a substantial temporal and spatial picture of landsliding in the Alps; with particular focus on the Swiss and French Alps. We use segmented models to evaluate recording bias in the temporal record. Scaling relationships are used to calculate landslide area based on a given volume for similar types of landslide; 9.5% (n=752 of a total of 7919) of landslides in the RI have area data recorded; this figure is based on both the source data and areas calculated from the scaling relationship. Using a power-law we demonstrate that the log-linear trend, which exists between landslide area and frequency in inventories, is present for this historical dataset, however, none of the individual databases, nor a unification of these, contains a complete record. We conclude by discussing applications of this dataset for the detection and attribution of climate change to the frequency and magnitude of landslides in this region however, stress the implications for this based on the completeness of such datasets. The manuscript describes and analyses a new landslide inventory, spanning six centuries and covering both the French and Swiss Alps. This inventory is, to our knowledge, unique in its temporal and geographical coverage, and in its detail, including information on geology, topography and size; which have been extracted and sampled into the inventory through methods detailed in this manuscript. The compilation of the inventory from several previously existing datasets is described, and methods for filling in missing data (such as area and volume data through the use of scaling relationships) are documented. We discuss the temporal resolution of the dataset through the use of segmented models, and then investigate the frequency-area distribution based on this, and in the context of other studies. This paper should attract a wide readership from researchers interested in risk and hazard mapping, those interested in further developing and analysing this unique dataset, and from those using our methods as a template for the maintenance and collation of landslide inventories in other regions.We appreciate your consideration of this manuscript for publication. Abstract 2 Landslides present a geomorphological hazard in Alpine regions, threatening life, infrastructure and property. Here 3 we present the development of a new regional landslide inventory (RI) for the European Alps. This database 4 provides a substantial temporal and spatial picture of landsliding in the Alps; with particular focus on the Swiss and 5French Alps. We use segmented models to evaluate recording bias in the temporal record. Scaling relationships are 6 used to calculate landslide area based on a given volume for similar types of landslide; 9.5% (n=752 of a total of 7 7919) of landslides in the RI have area data recorded;...