Contemporary mean inundation fraction in the Amazon basin. by Nic Gedney (19762301)

Pulsation rates of <i>Xenia umbellata</i> exposed to ocean acidification (OA). by Arjen Tilstra (6915227)

Fig 3 - by Arjen Tilstra (6915227)

Fig 5 - by Arjen Tilstra (6915227)

Specific growth rates, visual coloration, and survival of <i>Xenia umbellata</i> exposed to ocean acidification (OA). by Arjen Tilstra (6915227)

The main notations used in this paper. by Bin Zhao (276445)

Partial Rank Correlation Coefficients (PRCCs) for a selected range of model parameters in Table 4. by Temesgen Debas Awoke (18291050)

Effect of vector control. by Temesgen Debas Awoke (18291050)

“…Baseline parameter values were estimated after the model was fitted to Ethiopia’s VL data. Sensitivity analysis of the model was performed to identify the parameters that significantly impact the disease threshold. …”

Number of possible positive roots of . by Temesgen Debas Awoke (18291050)

“…Baseline parameter values were estimated after the model was fitted to Ethiopia’s VL data. Sensitivity analysis of the model was performed to identify the parameters that significantly impact the disease threshold. …”

Effect of reservoir treatment. by Temesgen Debas Awoke (18291050)

“…Baseline parameter values were estimated after the model was fitted to Ethiopia’s VL data. Sensitivity analysis of the model was performed to identify the parameters that significantly impact the disease threshold. …”

Symbols and description of parameters. by Temesgen Debas Awoke (18291050)

“…Baseline parameter values were estimated after the model was fitted to Ethiopia’s VL data. Sensitivity analysis of the model was performed to identify the parameters that significantly impact the disease threshold. …”

Data_Sheet_1_Data-Driven Modeling of Global Storm Surges.PDF by M. Tadesse (8762661)

“…Storm surges can be simulated using numerical models that are based on the underlying physical processes, or by using data-driven models that quantify the relationship between the predictand (storm surge) and relevant predictors (wind speed, mean sea-level pressure, etc.). …”

Data_Sheet_1_Microplastics in the Mediterranean: Variability From Observations and Model Analysis.docx by Kostas Tsiaras (7251908)

Data_Sheet_2_Microplastics in the Mediterranean: Variability From Observations and Model Analysis.xlsx by Kostas Tsiaras (7251908)

DataSheet1_Evolution of land surface feedbacks on extreme heat: Adapting existing coupling metrics to a changing climate.PDF by Paul A. Dirmeyer (9031019)

Supplementary Material for: Effects of a Sugar-Sweetened Beverages Tax on Caries in Italy: a Modelling Study. by figshare admin karger (2628495)

“…Sub-analysis also included geographical macro-areas of Italy (North-West, North-East, Central, Southern, Islands), based on main socio-economic determinants. A probabilistic sensitivity analysis, involving a Monte Carlo simulation with 1,000 iterations, was conducted to assess the robustness of the model, generating estimates of mean values and 95% Uncertainty Intervals. …”

Video_1_Electroencephalogram microstates and functional connectivity of cybersickness.MP4 by Sungu Nam (13276968)

“…<p>Virtual reality (VR) is a rapidly developing technology that simulates the real world. However, for some cybersickness-susceptible people, VR still has an unanswered problem—cybersickness—which becomes the main obstacle for users and content makers. …”