Sentence examples for mobility data for from inspiring English sources

By collecting the mobility data for both strands assayed at two temperatures, alleles can be defined by mobility alone.

The plots compare models' predictions to the real mobility data for commuting and air travel, and each cell represents pairs of nodes (counties in the case of commuting, and airport basins for air travel).

The action contains mobility data for the following road user groups: Walking, Bike, Moped and motorcycle, Car driver, Car passenger, Car or Moto (in Spain), Public transport and others.

The measurements were made at total salt concentrations from 0.01 0.5 M for NaCl : MgCl2 ratios 1 : 3, 1 : 1 and 3 : 1. Binary thermodynamic, viscosity and mobility data for NaCl + water and MgCl2 + water solutions are used to predict ternary diffusion coefficients for the NaCl + MgCl2 solutions.

Thus, given a date t, we consider valid a time window of five days if the following conditions are satisfied: (i) mobility data for (t_{mathrm{hist}} in [0,2]), and (ii) symptoms data for the time (t_{mathrm{hor}}in [0,2]).

Whilst residential mobility data for the study cohort are not available, there is published, indirect, evidence of population stability for children and older women [ 21, 22].

Growth and mobility data were used for simulation of irradiation protocols in a commercial facility (10 MeV e-beam linear accelerator) using radiation theory.

Life-space mobility data were available for all 848 participants at baseline, 806 participants at the one-year follow-up and 757 participants at the two-year follow up.

Residential mobility data are required for accurate long-term air pollution exposure assessments, but due to the difficulties in obtaining this information, residential location at study entry or at time of diagnosis is often used to estimate lifetime or long-term exposure estimates in epidemiological studies.

In the scope of CitySDK three APIs were designed and deployed: one for participation services (e.g. FixMyStreet), one for mobility data (e.g. public transport data) and one for touristic information.

This paper presents a spatial association statistics for mobility data, and particularly the daily trips made by people from home to work and study places (commuter trips).