Journal: Scientific Reports

Article Title: Increased Spatial Variability and Intensification of Extreme Monsoon Rainfall due to Urbanization

doi: 10.1038/s41598-018-22322-9

Figure Lengend Snippet: Spatial variance of observed and simulated rainfall across stations. Figure ( a,c,e , g ) and their representative probability distribution functions. Figure ( b,d,f,h ) for all the four extreme days. All the figures are prepared with Matlab R2015b ( https://in.mathworks.com/products/new_products/latest_features.html?s_tid=hp_release_2015b ).

Article Snippet: Figure 4(b–m) is prepared with Matlab R2015b ( https://in.mathworks.com/products/new_products/latest_features.html?s_tid=hp_release_2015b ).

Techniques:

Journal: Scientific Reports

Article Title: Increased Spatial Variability and Intensification of Extreme Monsoon Rainfall due to Urbanization

doi: 10.1038/s41598-018-22322-9

Figure Lengend Snippet: Cross-section considered for the analysis of atmospheric instability is presented in Fig ( a ). Simulated instability at 6-hr interval for WRF-NoUCM Fig. ( b – e ), WRF-SUCM (Fig. ( f – i )) and WRF-MUCM. Figure( j – m ) during July 11 th , 2014 are presented. Figure 4(a) is prepared with ArcGIS-10.1 ( http://www.esri.com/news/arcnews/spring12articles/introducing-arcgis-101.html ). Figure 4(b–m) is prepared with Matlab R2015b ( https://in.mathworks.com/products/new_products/latest_features.html?s_tid=hp_release_2015b ). The shape files of maps are derived from Mumbai Metropolitan Region Development Authority (MMRDA).

Article Snippet: Figure 4(b–m) is prepared with Matlab R2015b ( https://in.mathworks.com/products/new_products/latest_features.html?s_tid=hp_release_2015b ).

Techniques: Derivative Assay

Journal: Scientific Reports

Article Title: Increased Spatial Variability and Intensification of Extreme Monsoon Rainfall due to Urbanization

doi: 10.1038/s41598-018-22322-9

Figure Lengend Snippet: Schematic of urban impacts on the spatial variability of precipitation over a city is presented in Fig ( a ). Model simulations for Mumbai are presented in Fig. 5(b). The PDFs represent the spatial variability. Figure 5(c–f) represents scatter plot between cross correlation of precipitation and distance between the AWS stations for July 11, July 15, July 31 and August 31 respectively. Figures are prepared with Matlab R2015b ( https://in.mathworks.com/products/new_products/latest_features.html?s_tid=hp_release_2015b ).

Article Snippet: Figure 4(b–m) is prepared with Matlab R2015b ( https://in.mathworks.com/products/new_products/latest_features.html?s_tid=hp_release_2015b ).

Techniques:

Journal: Scientific Reports

Article Title: Increased Spatial Variability and Intensification of Extreme Monsoon Rainfall due to Urbanization

doi: 10.1038/s41598-018-22322-9

Figure Lengend Snippet: Spatial variance of observed and simulated rainfall across stations. Figure ( a,c,e , g ) and their representative probability distribution functions. Figure ( b,d,f,h ) for all the four extreme days. All the figures are prepared with Matlab R2015b ( https://in.mathworks.com/products/new_products/latest_features.html?s_tid=hp_release_2015b ).

Article Snippet: Figure ( e,j,o,t ) are prepared with Matlab R2016b ( https://in.mathworks.com/products/new_products/latest_features.html?s_tid=hp_release_2015b ).

Techniques:

Journal: Scientific Reports

Article Title: Increased Spatial Variability and Intensification of Extreme Monsoon Rainfall due to Urbanization

doi: 10.1038/s41598-018-22322-9

Figure Lengend Snippet: Cross-section considered for the analysis of atmospheric instability is presented in Fig ( a ). Simulated instability at 6-hr interval for WRF-NoUCM Fig. ( b – e ), WRF-SUCM (Fig. ( f – i )) and WRF-MUCM. Figure( j – m ) during July 11 th , 2014 are presented. Figure 4(a) is prepared with ArcGIS-10.1 ( http://www.esri.com/news/arcnews/spring12articles/introducing-arcgis-101.html ). Figure 4(b–m) is prepared with Matlab R2015b ( https://in.mathworks.com/products/new_products/latest_features.html?s_tid=hp_release_2015b ). The shape files of maps are derived from Mumbai Metropolitan Region Development Authority (MMRDA).

Article Snippet: Figure ( e,j,o,t ) are prepared with Matlab R2016b ( https://in.mathworks.com/products/new_products/latest_features.html?s_tid=hp_release_2015b ).

Techniques: Derivative Assay

Journal: Scientific Reports

Article Title: Increased Spatial Variability and Intensification of Extreme Monsoon Rainfall due to Urbanization

doi: 10.1038/s41598-018-22322-9

Figure Lengend Snippet: Schematic of urban impacts on the spatial variability of precipitation over a city is presented in Fig ( a ). Model simulations for Mumbai are presented in Fig. 5(b). The PDFs represent the spatial variability. Figure 5(c–f) represents scatter plot between cross correlation of precipitation and distance between the AWS stations for July 11, July 15, July 31 and August 31 respectively. Figures are prepared with Matlab R2015b ( https://in.mathworks.com/products/new_products/latest_features.html?s_tid=hp_release_2015b ).

Article Snippet: Figure ( e,j,o,t ) are prepared with Matlab R2016b ( https://in.mathworks.com/products/new_products/latest_features.html?s_tid=hp_release_2015b ).

Techniques:

Journal: STAR Protocols

Article Title: Using radio frequency identification and locomotor activity monitoring to assess sleep, locomotor, and foraging rhythmicity in bumblebees

doi: 10.1016/j.xpro.2021.100598

Figure Lengend Snippet: A screenshot showing how data is loaded into the FlyToolBox on MATLAB using the ‘dam_load’ code and the actograms produced by the ‘ralf’ code

Article Snippet: This analysis can be carried out using FlyToolBox ( ) in MATLAB (MATLAB and Statistics Toolbox Release 2015b).

Techniques: Produced

Journal: STAR Protocols

Article Title: Using radio frequency identification and locomotor activity monitoring to assess sleep, locomotor, and foraging rhythmicity in bumblebees

doi: 10.1016/j.xpro.2021.100598

Figure Lengend Snippet: A screenshot showing how the parameters can be set for analysis of activity and how the FlyToolBox can be used to produce actograms, autocorrelation, MESA and periodograms for individual foragers

Article Snippet: This analysis can be carried out using FlyToolBox ( ) in MATLAB (MATLAB and Statistics Toolbox Release 2015b).

Techniques: Activity Assay

Journal: STAR Protocols

Article Title: Using radio frequency identification and locomotor activity monitoring to assess sleep, locomotor, and foraging rhythmicity in bumblebees

doi: 10.1016/j.xpro.2021.100598

Figure Lengend Snippet: An example of the graphical output of the ‘dam_analyze’ code in FlyToolBox , with the rhythmicity statistic (RS) and period length (p or peak) highlighted

Article Snippet: This analysis can be carried out using FlyToolBox ( ) in MATLAB (MATLAB and Statistics Toolbox Release 2015b).

Techniques:

Journal: STAR Protocols

Article Title: Using radio frequency identification and locomotor activity monitoring to assess sleep, locomotor, and foraging rhythmicity in bumblebees

doi: 10.1016/j.xpro.2021.100598

Figure Lengend Snippet:

Article Snippet: This analysis can be carried out using FlyToolBox ( ) in MATLAB (MATLAB and Statistics Toolbox Release 2015b).

Techniques: Recombinant, Software, Activity Assay