This dataverse is a collection of the School of Mechanical and Aerospace Engineering’s research data.

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1,191 to 1,200 of 1,218 Results
Rayleigh_Si_stress_cons.m
Aug 19, 2019 - Replication Data for Elastic surface wave modelling based on semi-analytical finite element method with perfectly matched layers
Plain Text - 54.2 KB - MD5: 093f5b2b9e18183a65090297d855d9a1
code
Rayleigh_Si_stress_triangle.m
Aug 19, 2019 - Replication Data for Elastic surface wave modelling based on semi-analytical finite element method with perfectly matched layers
Plain Text - 54.4 KB - MD5: 5796dc57c139aee616af44537c09344e
code
Rayleigh_Steel_stress_cons.m
Aug 19, 2019 - Replication Data for Elastic surface wave modelling based on semi-analytical finite element method with perfectly matched layers
Plain Text - 54.2 KB - MD5: 501616ffb162ef75583d3b4097ab38b1
code
Rayleigh_Steel_stress_triangle.m
Aug 19, 2019 - Replication Data for Elastic surface wave modelling based on semi-analytical finite element method with perfectly matched layers
Plain Text - 54.4 KB - MD5: 9781cab440c760a13df60f2ee5bbc9be
code
Rayleigh_Ti_stress_cons.m
Aug 19, 2019 - Replication Data for Elastic surface wave modelling based on semi-analytical finite element method with perfectly matched layers
Plain Text - 54.2 KB - MD5: 7a1b39f29898be892043dd7c548d0f29
code
Rayleigh_Ti_stress_triangle.m
Aug 19, 2019 - Replication Data for Elastic surface wave modelling based on semi-analytical finite element method with perfectly matched layers
Plain Text - 54.4 KB - MD5: 86378188d508a878d4760e0e5391430a
code
Replication data for: Lab-on-chip microfluidic impedance measurement for laminar flow ratio sensing and differential conductivity difference detection
Replication data for: Lab-on-chip microfluidic impedance measurement for laminar flow ratio sensing and differential conductivity difference detection
Jul 31, 2019 - Portable Rapid On-Board Bacteria Compliance Test For Ballast Water Through Lab-On-Chip Dielectrophoretic Focusing And Detection
Kong, Tian Fook; Shen, Xinhui; Marcos; Yang, Chun, 2019, "Replication data for: Lab-on-chip microfluidic impedance measurement for laminar flow ratio sensing and differential conductivity difference detection", https://doi.org/10.21979/N9/3ZE7SK, DR-NTU (Data), V1
Lab-on-chip microfluidic impedance measurement for laminar flow ratio sensing and differential conductivity difference detection
Replication data for Lab-on-chip microfluidic impedance measurement for laminar flow ratio sensing and differential conductivity difference detection -Raw data in Origin - Detection Limit DI 1uM 1nM Capacitance.opj
Jul 31, 2019 - Replication data for: Lab-on-chip microfluidic impedance measurement for laminar flow ratio sensing and differential conductivity difference detection
Unknown - 1.1 MB - MD5: 4bf4457d3a26d6cf88fd6558c1c2ca62
Data
Detection Limit DI 1uM 1nM Capacitance
Replication data for Lab-on-chip microfluidic impedance measurement for laminar flow ratio sensing and differential conductivity difference detection - Raw data in Origin - Detection Limit DI 1uM 1nM.opj
Jul 31, 2019 - Replication data for: Lab-on-chip microfluidic impedance measurement for laminar flow ratio sensing and differential conductivity difference detection
Unknown - 2.0 MB - MD5: c587c0b1f62b8c85208e48009b803d4b
Data
Detection Limit DI 1uM 1nM
Replication data for Lab-on-chip microfluidic impedance measurement for laminar flow ratio sensing and differential conductivity difference detection - Raw data in Origin - Frequency Sweep.opj
Jul 31, 2019 - Replication data for: Lab-on-chip microfluidic impedance measurement for laminar flow ratio sensing and differential conductivity difference detection
Unknown - 255.3 KB - MD5: 1db2900c2913d30b15480fe0fbe96d83
Data
Frequency Sweep
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.