1.AppData UserAppRecords.txt: There are the App usage records of 30 users. The columns represent user ID, timestamp, base station ID, App ID, respectively. AppId.txt: The name and the corresponding App ID of 100 Apps. AppCategory.txt: Eavh line represents a App category and the Apps that it contains.

2.PoiData PoiData.txt: There shows the base sation ID and the POI quantity distribution of 100 base stations.

3.BlockData BlockData.txt: There are the data of 188 blocks of Shanghai. The columns represent block ID, the population of blocks, the GDP of blocks, the label for 3 SELs, the label for 4 SELs. BlockBoundry.mat: The base ID of the 188 base stations and their corresponding boundary information. GpsToBase.txt: The base station samples and their corresponding longitudes and latitudes.

4.AggregatedData AggregatedData.txt: The features extracted from App usage records and POIs data. It is used to train regression model and classification models.

5.GroundTruth

Gdp.txt: The GDP data of blocks in Shanghai.

GdpLabel3class.txt: The labels for 3 Socio-economic levels of blocks in Shanghai.

GdpLabel4class.txt: The labels for 4 Socio-economic levels of blocks in Shanghai.