126 Works

Model files and GIS data for risk assessment in the Cambrian-Ordovician sandstone aquifer system, Northeastern Illinois, predevelopment-2070

Daniel Hadley, Daniel Abrams, Devin Mannix & Cecilia Cullen
These datasets contain modeling files and GIS data associated with a risk assessment study for the Cambrian-Ordovician sandstone aquifer system in Illinois from predevelopment (1863) to the year 2070. Modeling work was completed using the Illinois Groundwater Flow Model, a regional MODFLOW model developed for water supply planning in Illinois, as a base model. The model is run using the graphical user interface Groundwater Vistas 7.0. The development and technical details of the base Illinois...

Photosynthetic Performance Measurements in Biomass Sorghum Varietals in Central Illinois during Four Growing Seasons.

Nikhil S. Jaikumar, Samuel Fernandes, Andrew Leakey, Patrick Brown, Sam Stutz, Donald Ort & Stephen Long
In a set of field studies across four years, the effect of self-shading on photosynthetic performance in lower canopy sorghum leaves was studied at sites in Champaign County, IL. Photosynthetic parameters in upper and lower canopy leaves, carbon assimilation, electron transport, stomatal conductance, and activity of three C4-specific photosynthetic enzymes, were compared within a genetically diverse range of accessions varying widely in canopy architecture and thereby in the degree of self-shading. Accessions with erect leaves...

Data for Conjugate photoelectron energy spectra derived from coincident FUV and radio measurements

Juan M. Urco Cordero, Farzad Kamalabadi, Ulas Kamaci, Brian J. Harding, Harald U. Frey, Stephen B. Mende, Joe D. Huba, Scott L. England & Thomas J. Immel
Conjugate photoelectron energy spectra derived from coincident FUV and radio measurements. These are outputs of simulations from the semi-empirical SAMI2-PE (Varney et al. 2012) for the night of January 4, 2020.

Datasets used in \"Recursive MAGUS: scalable and accurate multiple sequence alignment\"

Vladimir Smirnov
This archive contains the datasets used in the paper "Recursive MAGUS: scalable and accurate multiple sequence alignment". - 16S.3, 16S.T, 16S.B.ALL - HomFam - RNASim These can also be found at https://sites.google.com/eng.ucsd.edu/datasets/alignment/pastaupp

Bacillus-based direct-fed microbial reduces the pathogenic synergy of a co-infection with Salmonella enterica serovar Choleraesuis and porcine reproductive and respiratory syndrome virus

Federico Zuckermann
Raw data and its analysis collected from a trial designed to test the impact of providing a Bacillus-based direct-fed microbial (DFM) on the syndrome resulting from orally infecting pigs with either Salmonella enterica serotype Choleraesuis (S. Choleraesuis) alone, or in combination with an intranasal challenge, three days later, with porcine reproductive and respiratory syndrome virus (PRRSV).

State of Illinois - Common Spatial Geodatabase for the Social Sciences

Michael Lotspeich-Yadao
This geodatabase serves two purposes: 1) to provide State of Illinois agencies with a fast resource for the preparation of maps and figures that require the use of shape or line files from federal agencies, the State of Illinois, or the City of Chicago, and 2) as a start for social scientists interested in exploring how geographic information systems (whether this is data visualization or geographically weighted regression) can bring new meaning to the interpretation...

Eggs in One Basket: Security and Convenience of Digital Currencies

Charles M. Kahn, Francisco Rivadeneyra & Tsz-Nga Wong
Digital currencies store balances in anonymous electronic addresses. This paper analyzes the trade-offs between the safety and convenience of aggregating balances in addresses, electronic wallets and banks.

Data from: Accurate Large-scale Phylogeny-Aware Alignment using BAli-Phy

Maya Gupta, Paul Zaharias & Tandy Warnow
This repository includes scripts and datasets for the paper, "Accurate Large-scale Phylogeny-Aware Alignment using BAli-Phy" submitted to Bioinformatics.

Machine learning enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions

John Ferguson, Samuel Fernandes, Brandon Monier, Nathan Miller, Dylan Allen, Anna Dmitrieva, Peter Schmuker, Roberto Lozano, Ravi Valluru, Edward Buckler, Michael Gore, Patrick Brown, Edgar Spalding & Andrew Leakey
This dataset contains the images of a photoperiod sensitive sorghum accession population used for a GWAS/TWAS study of leaf traits related to water use efficiency in 2016 and 2017. *Note: new in this second version is that JPG images outputted from the nms files were added Accessions_2016.zip and Accessions_2017.zip: contain raw images produced by Optical Topometer (nms files) for all sorghum accessions. Images can be opened with Nanofocus μsurf analysis extended software (Oberhausen,Germany). Accessions_2016_jpg.zip and...

Microclimatic Temperature and Vegetation Structure in Great Smoky Mountains National Park

Samuel Stickley & Jennifer Fraterrigo
This dataset consists of microclimatic temperature and vegetation structure maps at a 3-meter spatial resolution across the Great Smoky Mountains National Park. Included are raster models for sub-canopy, near-surface, minimum and maximum temperature averaged across the study period, season, and month during the growing season months of March through November from 2006-2010. Also available are the topographic and vegetation inputs developed for the microclimate models, including LiDAR-derived vegetation height, LiDAR-derived vegetation structure within four height...

The (Art) Teacher as Lacan's Subject-Supposed-to-Know

Laura Hetrick

Multi-scale CyberGIS Analytics for Detecting Spatiotemporal Patterns of COVID-19

Fangzheng Lyu, Jeon-Young Kang, Shaohua Wang, Su Han, Zhiyu Li, Shaowen Wang & Anand Padmanabhan
This dataset contains all the code, notebooks, datasets used in the study conducted for the research publication titled "Multi-scale CyberGIS Analytics for Detecting Spatiotemporal Patterns of COVID-19 Data". Specifically, this package include the artifacts used to conduct spatial-temporal analysis with space time kernel density estimation (STKDE) using COVID-19 data, which should help readers to reproduce some of the analysis and learn about the methods that were conducted in the associated book chapter. ## What’s inside...

Data for Anomalous density fluctuations in a strange metal

Peter Abbamonte
This is the complete dataset for the "Anomalous density fluctuations in a strange metal" Proceedings of the National Academy of Sciences publication (https://doi.org/10.1073/pnas.1721495115). This is an integration of the Zenodo dataset which includes raw M-EELS data. METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data: Data have been collected with a M-EELS instrument and according to the data acquisition protocol described in the original PNAS publication and in SciPost Phys. 3, 026 (2017)...

Correlation and co-localization of QTLs for stomatal density, canopy temperature, and productivity with and without drought stress in Setaria

Parthiban Thathapalli Prakash, Darshi Banan, Rachel Paul, Maximilian Feldman, Dan Xie, Luke Freyfogle, Ivan Baxter & Andrew Leakey
Mechanistic modeling indicates that stomatal conductance could be reduced to improve water use efficiency (WUE) in C4 crops. Genetic variation in stomatal density and canopy temperature was evaluated in the model C4 genus, Setaria. Recombinant inbred lines (RILs) derived from a Setaria italica × Setaria viridis cross were grown with ample or limiting water supply under field conditions in Illinois. An optical profilometer was used to rapidly assess stomatal patterning, and canopy temperature was measured...

RaDICaL: A Synchronized FMCW Radar, Depth, IMU and RGB Camera Data Dataset with Low-Level FMCW Radar Signals (ROS bag format)

Teck Yian Lim, Spencer Abraham Markowitz & Minh Do
This dataset consists of raw ADC readings from a 3 transmitter 4 receiver 77GHz FMCW radar, together with synchronized RGB camera and depth (active stereo) measurements. The data is grouped into 4 distinct radar configurations: - "indoor" configuration with range <14m - "30m" with range <38m - "50m" with range <63m - "high_res" with doppler resolution of 0.043m/s # Related code https://github.com/moodoki/radical_sdk # Hardware Project Page https://publish.illinois.edu/radicaldata

Spatial accessibility of COVID-19 healthcare resources in Illinois, USA

Jeon-Young Kang, Alexander Michels, Fangzheng Lyu, Shaohua Wang, Nelson Agbodo, Vincent L Freeman, Shaowen Wang & Padmanabhan Anand
This dataset contains all the code, notebooks, datasets used in the study conducted to measure the spatial accessibility of COVID-19 healthcare resources with a particular focus on Illinois, USA. Specifically, the dataset measures spatial access for people to hospitals and ICU beds in Illinois. The spatial accessibility is measured by the use of an enhanced two-step floating catchment area (E2FCA) method (Luo & Qi, 2009), which is an outcome of interactions between demands (i.e, #...

Seedling traits in oak and mix stands

Cecilia M. Prada, Benjamin L. Turner & James W. Dalling
Data from an a field experiment at El Velo, Chiriqui, Republic of Panama. Data contain information about functional traits of seedlings growing in different treatments including type of forest, nitrogen addition and organic matter.

Bats partition activity in space and time in a large, heterogeneous landscape

Elizabeth Beilke, Rachel Blakey & Joy O'Keefe
Diverse species assemblages theoretically partition along multiple resource axes to maintain niche separation between all species. Temporal partitioning has received less attention than spatial or dietary partitioning but may facilitate niche separation when species overlap along other resource axes. We conducted a broad-scale acoustic study of the diverse and heterogeneous Great Smoky Mountains National Park in the Appalachian Mountains. Between 2015 and 2016, we deployed acoustic bat detectors at 50 sites (for a total of...

StyleGAN2 trained on MR brain and face images: network weights

Varun A. Kelkar & Mark A. Anastasio
This repository contains the weights for two StyleGAN2 networks trained on two composite T1 and T2 weighted open-source brain MR image datasets, and one StyleGAN2 network trained on the Flickr Face HQ image dataset. Example images sampled from the respective StyleGANs are also included. The datasets themselves are not included in this repository. The weights are stored as `.pkl` files. The code and instructions to load and use the weights can be found at https://github.com/comp-imaging-sci/pic-recon...

White and Red Sorghum as Primary Carbohydrate Sources in Extruded Diets of Felines

Maria Cattai de Godoy
- The research objectives were to evaluate the effect of dietary supplementation of white (WSH) and red (RSH) sorghum grains on gastrointestinal health of felines through the determination of apparent total tract macronutrient digestibility (ATTD), fecal characteristics, fermentative end-products, and microbiota, compared with a traditional corn-based diet (Control).
- Nine, intact, male domestic shorthaired cats (average age: 0.8 ± 0.00 yr; average weight: 4.5 ± 0.23 kg) were used in a triplicated 3 × 3...

Miscanthus grass as a novel functional fiber source in extruded feline diets

Maria Cattai de Godoy
- The aim of this research was to evaluate the novel dietary fiber source, miscanthus grass, in comparison to traditional fiber sources, and their effects on the microbiota of healthy adult cats. Four dietary treatments, cellulose (CO), miscanthus grass fiber (MF), a blend of miscanthus fiber and tomato pomace (MF+TP), or beet pulp (BP) were evaluated.

- The study was conducted using a completely randomized design with twenty-eight neutered adult, domesticated shorthair cats (19 females and...

Data for Conservation Tillage Mitigates Drought Induced Soybean Yield Losses in the US Corn Belt

Bowen Chen, Benjamin Gramig & Seong Yun
Data files and R code to replicate the econometric analysis in the journal article: B Chen, BM Gramig and SD Yun. “Conservation Tillage Mitigates Drought Induced Soybean Yield Losses in the US Corn Belt.” Q Open. https://doi.org/10.1093/qopen/qoab007

High-Throughput Single-Organelle Dataset

Daniel Castro & Jonathan Sweedler
The dataset contains the high-throughput matrix-assisted laser desorption/ionization mass spectrometry XmL files for the atrial gland and red hemiduct of Aplysia californica.

Trelease and Brownfields Woods tree decay dataset

Sierra Perez, James Dalling & Jennifer Fraterrigo
Information on the location, dimensions, time of treefall or death, decay state, wood nutrient, wood pH and wood density data, and soil moisture, slope, distance from forest edge and soil nutrient data associated with the publication "Interspecific wood trait variation predicts decreased carbon residence time in changing forests" authored by Sierra Perez, Jennifer Fraterrigo, and James Dalling. ** Note: Blank cells indicate that no data were collected.

Expanding the agricultural - sanitation circular economy: opportunities and benefits

Steven Banwart, Laura Carter, Tim Daniell, Yong-Guan Zhu, Hongyan Guo, Jeremy Guest, Stuart Kirk, Barbara Evans, Patrick McKenna & Sarah Dennis
An expanded circular economy between agriculture and sanitation waste (sewage) can recycle essential resources for agriculture through the recovery of water, biomass, and nutrients from sewage at scale. Doing so can help to increase or maintain soil productivity and support agricultural outputs; produce heat and power; reduce Green House Gas (GHG) emissions; and minimise stresses on water reserves.

Registration Year

  • 2021

Resource Types

  • Dataset
  • Journal Article
  • Text


  • University of Illinois
  • University of Illinois at Urbana Champaign
  • University of Illinois at Urbana-Champaign
  • University of Illinois Urbana-Champaign
  • University of Montana
  • University of Minnesota
  • University of Wisconsin–Madison
  • University of Leeds
  • Purdue University West Lafayette
  • University of Debrecen