  We publicly release OpenUAS, a dataset of area embeddings based on urban
usage patterns, including embeddings for over 1.3 million 50-meter square
meshes covering a total area of 3,300 square kilometers. This dataset is
valuable for analyzing area functions in fields such as market analysis, urban
planning, transportation infrastructure, and infection prediction. It captures
the characteristics of each area in the city, such as office districts and
residential areas, by employing an area embedding technique that utilizes
location information typically obtained by GPS. Numerous area embedding
techniques have been proposed, and while the public release of such embedding
datasets is technically feasible, it has not been realized. One of the
obstacles has been the integration of data from different cities and periods
into a unified space without sharing raw location data. We address this issue
by developing an anchoring method that establishes anchors within a shared
embedding space. We publicly release this anchor dataset along with area
embedding datasets from several periods in eight major Japanese cities. This
dataset allows users to analyze urban usage patterns in Japanese cities and
embed their urban dataset into the same embedding space using the anchoring
method. Our key contributions include the development of the anchoring method,
releasing area embedding datasets for Japanese cities, and providing tools for
effective data utilization.
