Mobility demand mesh-grid datasets

<strong>15m_flat_bike_count.h5</strong>: Table that contains the number of bike rides that started on every bike station in Chicago, per time interval. Time resolution is 15min, covering 2013-2020 (280512 timestamps). <strong>15m_flat_bike_norm_abs.h5</strong>: Same as <strong>15m_flat_bike_count.h5</strong>, but normalized using the maximum number of rides recorded in that period, i.e.: 84. The normalization is calculated as x' = (x - min(X)) / (max(X) - min(X)). <strong>15m_flat_taxi_count.h5</strong>: Table that contains the number of taxi trip counts that started on every taxi zone in Chicago, per time interval. Time resolution is 15min, covering 2013-2020 (280512 timestamps). <strong>15m_flat_taxi_norm_abs.h5</strong>: Same as <strong>15m_flat_taxi_count.h5</strong>, but normalized using the maximum number of trips recorded in that period, i.e.: 418. The normalization is calculated as x' = (x - min(X)) / (max(X) - min(X)). <strong>15m_map_90_60_bike_norm_abs.h5</strong>: Mobility mesh-grid for bikes, calculated from<strong> 15m_flat_bike_norm_abs.h5</strong> counting the total number of rides per element of the grid and time interval. The final shape of the dataset is 280512 x 90 x 60. <strong>15m_map_90_60_taxi_norm_abs.h5</strong>: Mobility mesh-grid for taxis, calculated from <strong>15m_flat_taxi_norm_abs.h5</strong> using linear interpolation. The final shape of the dataset is 280512 x 90 x 60. <strong>station-locations-bike.csv</strong>: Geolocations of the bicycle racks of Chicago. <strong>zone-centroids-taxi.csv</strong>: Geolocations of the centroids of the taxi zones of Chicago. <strong>grid-locations-bike.csv</strong>: Locations of the elements of a 90x60 grid overlaying Chicago that contain bicycle racks. <strong>holidays.csv</strong>: Holidays in Chicago for the period 2013-2020.