PURR Registry

Chemical imaging of atmospheric particles during the 2018 Lag Ba'Omer festival provided quantitative description of individual particle composition and mixing states to characterize the temporal evolution of biomass burning particles.

Aerosol Mass Spectrometer Aerosols Biomass Burning Chemical Imaging Chemistry Mixing State Scanning Electron Microscopy Scanning Mobility Particle Sizer Scanning Transmission X-ray Microscopy

Modeling carbon accumulation and greenhouse gas emissions of northern peatlands since the Holocene

10.4231/6647-C769

Bailu Zhao, 0000-0002-1326-4801, Qianlai Zhuang, 0000-0002-4536-9851, Steve Frolking, 0000-0001-6414-5004

05/26/2022

This dataset is used to reproduce the results in Modeling carbon accumulation and greenhouse gas emissions of northern peatlands since the Holocene. The dataset includes simulated pan-Arctic peat thickness, soil C stock and historical permafrost...

basal date EAPS Holocene P-TEM pan-Arctic peatland Permafrost

Jupyter notebook and SimVascular case files for "Flow rate--pressure drop relations for slender compliant tubes"

10.4231/6GGC-ZH07

Ivan C. Christov, 0000-0001-8531-0531, Shrihari Dhananjay Pande, Xiaojia Wang

05/23/2022

The Jupyter Notebook makes the plots in the manuscript "Flow rate--pressure drop relations for new configurations of slender compliant tubes arising in microfluidics experiments" by Wang, Pande & Christov (2022). Zip file provides SimVascular case files.

elastic deformation fluid-structure interactions laminar flow lubrication theory Mechanical Engineering microfluidics soft hydraulics viscous fluid flow

Data and code for Estimating statewide carrying capacity of bobcat (Lynx rufus) using improved maximum clique algorithms

10.4231/D5TH-9D64

Cassie Hudson, David Gleich, Geriann Albers, Landon Jones, 0000-0003-1814-6115, Patrick Zollner, Robert Swihart, 0000-0002-4064-1940, Scott Johnson

06/02/2022

Example data and code to run maximum clique analysis for female bobcat (Lynx rufus) territories in the state of Indiana, USA

ensembles of small models Forestry and Natural Resources habitat suitability home range capacity landscape carrying capacity maximum clique analysis

A Machine Learning Approach to Design of Aperiodic, Clustered-Dot Halftone Screens via Direct Binary Search

10.4231/AMGQ-0T59

Itamar Roth, Jan Allebach, Jiayin Liu, 0000-0001-5630-6824, Orel Bat Mor, Oren Haik, Shani Gat, Tal Frank, Yitzhak Yitzhaky

06/01/2022

This dataset contains two parts: one has halftone patches that were used to predicts the quality level and scale using machine learning methods. The second part contains full versions of halftone images so viewers can zoom in to see the details.

direct binary search Electrical and Computer Engineering Halftone screen Machine Learning