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Data and Model Fitting for Evaluation of Drug Release from Polymeric Nanoparticles in Simulated Saliva and Gastric Media by Asymmetric Flow Field–Flow Fractionation (AF4)
No full textThis data repository contains data and model fitting tools for a publication on Evaluation of Drug Release from Polymeric Nanoparticles in Simulated Saliva and Gastric Media by Asymmetric Flow Field–Flow Fractionation (AF4). The data include (1) an Excel spreadsheet with bulk drug release data and radial diffusion model fitting, (2) a zip file containing Matlab code and associated Excel data input spreadsheets for size-resolved analysis of drug release profiles using multi-detector AF4 data, and (3) an Excel spreadsheet holding the results of the Matlab data processing
SR paper data - thermal friction modulation
No full textChoi, Changhyun, Yuan Ma, Xinyi Li, Sitangshu Chatterjee, Sneha Sequeira, Rebecca F. Friesen, Jonathan R. Felts, and M. Cynthia Hipwell. "Surface haptic rendering of virtual shapes through change in surface temperature." Science Robotics 7, no. 63 (2022): eabl4543
Data for Analysis of Copolymerization with Simultaneous Reversibility and Transesterification using Stochastic Model Regression
No full textData for "Analysis of Copolymerization with Simultaneous Reversibility and Transesterification using Stochastic Model Regression". README file includes information about the contents of each data file
Subsurface Pennsylvanian Coal and Coaly Shale Samples, Archer County, North Central Texas - Data
No full textPhotographs of cuttings, scans of well logs, and GIS files from:
Subsurface Pennsylvanian Coal and Coaly Shale Samples, Archer County, North Central Texas - Dat
Raw Data Tables
No full textThis data set contains the raw strain data output from the 3D DIC process
Massively Scalable Self-Assembly of Nano and Microparticle Monolayers via Aerosol Assisted Deposition
No full textAn extremely rapid process for self-assembling well-ordered, nano, and
microparticle monolayers via a novel aerosolized method is presented. The
novel technique can reach monolayer self-assembly rates as high as 268 cm2
min−1 from a single aerosolizing source and methods to reach faster
monolayer self-assembly rates are outlined. A new physical mechanism
describing the self-assembly process is presented and new insights enabling
high-efficiency nanoparticle monolayer self-assembly are developed. In
addition, well-ordered monolayer arrays from particles of various sizes,
surface functionality, and materials are fabricated. This new technique enables
a 93× increase in monolayer self-assembly rates compared to the current
state of the art and has the potential to provide an extremely low-cost option
for submicron nanomanufacturing
Location of honey bee colonies
No full textLocation and haplotype data for free-living honey bee colonies sampled in July 2023 at the Galbreath Wildlands Preserve
Theoretical fragment isotopic m/z values
No full text.csv files containing theoretical fragment m/z values generated by Nucleo-SAFARI for let7 precursor and 60 mer DNA sequences