Illinois Data Bank Dataset Search Results
Results
published:
2021-06-25
Szydlowski, Daniel; Daniels, Melissa; Larson, Eric
(2021)
Data associated with the manuscript "Do rusty crayfish invasions affect water clarity in north temperate lakes?" by Daniel K. Szydlowski, Melissa K. Daniels, and Eric R. lARSON
keywords:
chlorophyll a; crayfish; Faxonius rusticus; invasive species; lakes; LandSat; remote sening; rusty crayfish; Secchi disc; water clarity
published:
2024-04-10
Konar, Megan; Ruess, Paul J.; Wanders, Niko; Bierkens, Marc F.P.
(2024)
This dataset provides estimates of total Irrigation Water Use (IWU) by crop, county, water source, and year for the Continental United States. Total irrigation from Surface Water Withdrawals (SWW), total Groundwater Withdrawals (GWW), and nonrenewable Groundwater Depletion (GWD) is provided for 20 crops and crop groups from 2008 to 2020 at the county spatial resolution.
In total, there are nearly 2.5 million data points in this dataset (3,142 counties; 13 years; 3 water sources; and 20 crops). This dataset supports the paper by Ruess et al (2024) "Total irrigation by crop in the Continental United States from 2008 to 2020", Scientific Data, doi: 10.1038/s41597-024-03244-w
When using, please cite as:
Ruess, P.J., Konar, M., Wanders, N., and Bierkens, M.F.P. (2024) Total irrigation by crop in the Continental United States from 2008 to 2020, Scientific Data, doi: 10.1038/s41597-024-03244-w
keywords:
water use; irrigation; surface water; groundwater; groundwater depletion; counties; crops; time series
published:
2025-10-10
Tran, Vinh; Cao, Mingfeng; Fatma, Zia; Song, Xiaofei; Zhao, Huimin
(2025)
The nonconventional yeast Issatchenkia orientalis has emerged as a potential platform microorganism for production of organic acids due to its ability to grow robustly under highly acidic conditions. However, lack of efficient genetic tools remains a major bottleneck in metabolic engineering of this organism. Here we report that the autonomously replicating sequence (ARS) from Saccharomyces cerevisiae (ScARS) was functional for plasmid replication in I. orientalis, and the resulting episomal plasmid enabled efficient genome editing by the CRISPR/Cas9 system. The optimized CRISPR/Cas9-based system employed a fusion RPR1′-tRNA promoter for single guide RNA (sgRNA) expression and could attain greater than 97% gene disruption efficiency for various gene targets. Additionally, we demonstrated multiplexed gene deletion with disruption efficiencies of 90% and 47% for double gene and triple gene knockouts, respectively. This genome editing tool can be used for rapid strain development and metabolic engineering of this organism for production of biofuels and chemicals.
keywords:
Conversion;Genomics;Genome Engineering;Transcriptomics
published:
2024-10-31
Liu, Shanshan; Vlachokostas, Alex; Kontou, Eleftheria
(2024)
School buses transport 20 million students annually and are currently undergoing electrification in the US. With Vehicle-to-Building (V2B) technology, electric school buses (ESBs) can supply energy to school buildings during power outages, ensuring continued operation and safety. This study proposes assessing the resilience of secondary schools during outages by leveraging ESB fleets as backup power across various US climate regions. The findings indicate that the current fleet of ESBs in representative cities across different climate regions in the US is insufficient to meet the power demands of an entire school or even its HVAC system. However, we estimated the number of ESBs required to support the school's power needs, and we showed that the use of V2B technology significantly reduces carbon emissions compared to backup diesel generators. While adjusting HVAC setpoints and installing solar panels have limited impacts on enhancing school resilience, gathering students in classrooms during outages significantly improved resilience in our case study in Houston, Texas. Given the ongoing electrification of school buses, it is essential for schools to complement ESBs with stationary batteries and other backup power sources, such as solar and/or diesel generators, to effectively address prolonged outages. Determining the deployment of direct current fast and Level 2 chargers can reduce infrastructure costs while maintaining the resilience benefits of ESBs. This dataset includes the simulation process and results of this study.
keywords:
Electric school bus; Power outages,;Vehicle-to-Building technology; Carbon emission reduction; Backup power source
published:
2022-06-15
Wong, Tony; Oudshoorn, Luuk; Sofovich, Eliyahu; Green, Alex; Shah, Charmi; Indebetouw, Remy; Meixner, Margaret; Hacar, Alvaro; Nayak, Omnarayani; Tokuda, Kazuki; Bolatto, Alberto D.; Chevance, Melanie; De Marchi, Guido; Fukui, Yasuo; Hirschauer, Alec S.; Jameson, K. E.; Kalari, Venu; Lebouteiller, Vianney; Looney, Leslie W.; Madden, Suzanne C.; Onishi, Toshikazu; Roman-Duval, Julia; Rubio, Monica; Tielens, A. G. G. M.
(2022)
12CO and 13CO emission maps of the 30 Doradus molecular cloud in the Large Magellanic Cloud, obtained with the Atacama Large Millimeter/submillimeter Array (ALMA) during Cycle 7. See the associated article in the Astrophysical Journal, and README file, for details. Please cite the article if you use these data.
keywords:
Radio astronomy
published:
2022-07-08
Rahlin, Anastasia; Saunders, Sarah; Beilke, Stephanie
(2022)
Dataset for "Spatial drivers of wetland bird occupancy within an urbanized matrix in the Upper Midwestern United States" manuscript contains occupancy data for ten wetland bird species used in single-species occupancy models at four spatial scales and four wetland habitat types. Data were collected from 2017-2019 in NE Illinois and NW Indiana. Dataset includes wetland bird occupancy data, habitat parameter values for each survey location, and R code used to run analyses.
keywords:
wetland birds; occupancy; emergent wetland; urbanization; Great Lakes region
published:
2025-11-19
Xu, Hao; Shi, Longyuan; Boob, Aashutosh; Park, Wooyoung; Tan, Shih-I; Tran, Vinh; Schultz, J. Carl; Zhao, Huimin
(2025)
Rhodotorula toruloides is a non-model, oleaginous yeast uniquely suited to produce acetyl-CoA-derived chemicals. However, the lack of well-characterized genomic integration sites has impeded the metabolic engineering of this organism. Here we report a set of computationally predicted and experimentally validated chromosomal integration sites in R. toruloides. We first implemented an in silico platform by integrating essential gene information and transcriptomic data to identify candidate sites that meet stringent criteria. We then conducted a full experimental characterization of these sites, assessing integration efficiency, gene expression levels, impact on cell growth, and long-term expression stability. Among the identified sites, 12 exhibited integration efficiencies of 50% or higher, making them sufficient for most metabolic engineering applications. Using selected high-efficiency sites, we achieved simultaneous double and triple integrations and efficiently integrated long functional pathways (up to 14.7 kb). Additionally, we developed a new inducible marker recycling system that allows multiple rounds of integration at our characterized sites. We validated this system by performing five sequential rounds of GFP integration and three sequential rounds of MaFAR integration for fatty alcohol production, demonstrating, for the first time, precise gene copy number tuning in R. toruloides. These characterized integration sites should significantly advance metabolic engineering efforts and future genetic tool development in R. toruloides.
keywords:
Conversion;Metabolic Engineering;Software;Transcriptomics
published:
2021-05-14
Supplemental Forest Data for Chapter 6: Climate Change Impacts on Ecosystems in "An Assessment of the Impacts of Climate Change in Illinois"
published:
2022-04-21
This dataset was created based on the publicly available microdata from PNS-2019, a national health survey conducted by the Instituto Brasileiro de Geografia e Estatistica (IBGE, Brazilian Institute of Geography and Statistics). IBGE is a federal agency responsible for the official collection of statistical information in Brazil – essentially, the Brazilian census bureau. Data on selected variables focusing on biopsychosocial domains related to pain prevalence, limitations and treatment are available. The Fundação Instituto Oswaldo Cruz has detailed information about the PNS, including questionnaires, survey design, and datasets (www.pns.fiocruz.br). The microdata can be found on the IBGE website (https://www.ibge.gov.br/estatisticas/downloads-estatisticas.html?caminho=PNS/2019/Microdados/Dados).
keywords:
back pain; health status disparities; biopsychosocial; Brazil
published:
2023-03-06
Zhou, Shuaizhen; Sweedler, Jonathan V.
(2023)
This dataset includes mass spectrometry, library screening, and gas chromatography data used for creating a high-throughput screening in metabolic engineering.
keywords:
mass spectrometry; gas chromatography
published:
2025-06-06
Smith, Rebecca; Kopsco, Heather; Ceniceros, Ashley; Carson, Dawn
(2025)
The materials used to provide Continuing Medical Education on ticks and tick-borne diseases in Illinois on February 1, 2023 at Carle Hospital, along with the pre- and post-quiz and deidentified data of the quiz takers.
Files:
"Ticks and Tick-borne Diseases of Illinois_Final_w_speaker_notes.pptx": Presentation slides used for CME course, with notes to indicate verbal commentary
"CME assessment_final.docx": Pre- and post-CME quiz questions and answers, annotated to indicate correct answers and reasoning for incorrect answers
"CME_prequiz_data_for_sharing.csv": De-identified data from pre-CME quiz
"CME_postquiz_data_for_sharing.csv": De-identified data from post-CME quiz, including demographics
"DataCleaning_forSharing.R": R file used to clean the raw data and calculate the scores
"ReadMe.txt":
keywords:
tick-borne disease; CME
published:
2025-11-19
Petersen, Bryan; Emran, Shah-Al; Miguez, Fernando; Heaton, Emily; VanLoocke, Andy
(2025)
Various works have quantitatively characterized the effects of environmental and management factors on Miscanthus x giganteus Greef et Deu (mxg) yield and, therefore, anticipated land requirement per unit production. However, little work has addressed the effects of cutting height, which may significantly contribute to the difference between the standing aboveground biomass at harvest (i.e., biological yield) and harvested yield. This study quantitatively characterized the effect of cutting height using a replicated nitrogen trial of a 5-year-old mxg stand in southeast Iowa and related this information to observations of cutting height in nearby commercial fields. Nitrogen fertilizer did not significantly change the relationship of the stem segment mass to length, and overall, a 1-cm stem segment contributes 0.5% of the total stem biomass within the bottom 44 cm of the stem. This results in an average harvest loss of 15% of the aboveground standing biomass when cutting at 30 cm, typically seen in commercial mxg fields in eastern Iowa. Cutting height should be considered when accurately predicting commercial mxg harvest yields and changes in soil organic carbon in a commercial mxg agroecosystem.
keywords:
Feedstock Production;Sustainability;Biomass Analytics;Miscanthus;Modeling
published:
2021-08-24
Zaharias, Paul; Grosshauser, Martin; Warnow, Tandy
(2021)
This repository includes datasets for the paper "Re-evaluating Deep Neural Networks for Phylogeny Estimation: The issue of taxon sampling" accepted for RECOMB2021 and submitted to Journal of Computational Biology.
Each zipped file contains a README.
keywords:
deep neural networks; heterotachy; GHOST; quartet estimation; phylogeny estimation
published:
2025-08-13
Tang, Wenhan; Arabas, Sylwester; Curtis, Jeffrey H.; Knopf, Daniel A.; West, Matthew; Riemer, Nicole
(2025)
This dataset contains the values directly shown in the figures of the article "The impact of aerosol mixing state on immersion freezing: Insights from classical nucleation theory and particle-resolved simulations". This article is in preparation for submission to the journal Atmospheric Chemistry and Physics. The dataset consists of 15 NetCDF files processed from the raw output of the PartMC model. It does not include the theoretical values of frozen fraction, which can be computed using the equations provided in the paper.
keywords:
Aerosol mixing state; Ice nucleating particles; Classical nucleation theory
published:
2025-10-27
Deshavath, Narendra Naik; Dien, Bruce; Slininger, Patricia J.; Jin, Yong-Su; Singh, Vijay
(2025)
A wide range of inorganic and organic chemicals are used during the pretreatment and enzymatic hydrolysis of lignocellulosic biomass to produce biofuels. Developing an industrially relevant 2G biorefinery process using such chemicals is challenging and requires more unit operations for downstream processing. A sustainable process has been developed to achieve industrially relevant titers of bioethanol with significant ethanol yield. The pretreatment of sorghum biomass was performed by a continuous pilot-scale hydrothermal reactor followed by disk milling. Enzymatic hydrolysis was performed without washing the pretreated biomass. Moreover, citrate buffer strength was reduced to 100-fold (50 mM to 0.5 mM) during the enzymatic hydrolysis. Enzymatic hydrolysis at 0.5 mM citrate buffer strength showed that significant sugar concentrations of 222 ± 2.3 to 241 ± 2.3 g/L (glucose + xylose) were attained at higher solids loadings of 50 to 60% (w/v). Furthermore, hydrolysates were fermented to produce bioethanol using two different xylose-fermenting Saccharomyces cerevisiae strains and a co-culture of xylose-fermenting and non-GMO yeast cultures. Bioethanol titer of 81.7 g/L was achieved with an ethanol yield of 0.48 gp/gs. Additionally, lipids were produced using the oleaginous yeast Rhodosporidium toruloides, yielding 13.2 g/L lipids with cellular lipid accumulation of 38.5% w/w from 100 g/L of sugar concentration. In summary, reducing the strength of the citrate buffer during enzymatic hydrolysis and omitting inorganic chemicals from the pretreatment process enhances the fermentability of hydrolysates and can also reduce operating costs.
keywords:
Conversion;Hydrolysate;Lipidomics
published:
2022-08-01
Shearer, David; Beilke, Elizabeth
(2022)
Datasets that accompany Shearer and Beilke 2022 publication (Title: Playing it by ear: gregarious sparrows recognize and respond to isolated wingbeat sounds and predator-based cues.; Journal: Animal Cognition)
keywords:
Vigilance; auditory detection; predator detection; predator-prey interaction; antipredator behavior
published:
2021-04-08
Larsen, Ryan J. ; Gagoski, Borjan; Morton, Sarah U.; Ou, Yangming; Vyas, Rutvi; Litt, Jonathan; Grant, P. Ellen; Sutton, Bradley P.
(2021)
keywords:
Magnetic Resonance Spectroscopy; quantification; combined reference; waters scaling; infant development; GABA
published:
2024-07-28
Xing, Yuqing; Bae, Seokjin; Madhavan, Vidya
(2024)
This is a set of topographies to study the magnetic field response of RbV3Sb5 (related to Fig.4 of https://www.nature.com/articles/s41586-024-07519-5)
published:
2021-04-05
West Nile virus data, aggregated by 55 1-km hexagons, within the NWMAD jurisdiction Cook County, IL. The data incorporates deidentified human illness, mosquito infection and abundance, socio-economic data, and other abiotic and biotic predictors by epi-weeks 18-38 for the years 2005-2016.
keywords:
WNV; modeling
published:
2025-06-04
These datasets contain the complete output from a Monte Carlo simulation of the number of wild cervids to test for chronic wasting disease (CWD) depending on true prevalence. Five CSVs of the simulation results are provided, split due to limitations in file size. The R code used to run the simulation and process the data is included. The data to replicated Table 1 and the data used to compare the simulation results to the CWD surveillance efforts of the Illinois Department of Natural Resources (IDNR) are also provided.
keywords:
chronic wasting disease; cwd; cervid; test; sample size; diagnostic testing; surveillance
published:
2025-12-19
Wu, Genghong; Guan, Kaiyu; Jiang, Chongya; Kimm, Hyungsuk; Miao, Guofang; Bernacchi, Carl J.; Moore, Caitlin E.; Ainsworth, Elizabeth A.; Yang, Xi; Berry, Joseph A.; Frankenberg, Christian; Chen, Min
(2025)
Information to characterize the solar-induced chlorophyll fluorescence (SIF)-gross primary production (GPP) relationship in C4 cropping systems remains limited. The annual C4 crop corn and perennial C4 crop miscanthus differ in phenology, canopy structure and leaf physiology. Investigating the SIF-GPP relationships in these species could deepen our understanding of SIF-GPP relationships within C4 crops. Using in situ canopy SIF and GPP measurements for both species along with leaf-level measurements, we found considerable differences in the SIF-GPP relationships between corn and miscanthus, with a stronger SIF-GPP relationship and higher slope of SIF-GPP observed in corn compared to miscanthus. These differences were mainly caused by leaf physiology. For miscanthus, high non-photochemical quenching (NPQ) under high light, temperature and water vapor deficit (VPD) conditions caused a large decline of fluorescence yield (ΦF), which further led to a SIF midday depression and weakened the SIF-GPP relationship. The larger slope in corn than miscanthus was mainly due to its higher GPP in mid-summer, largely attributed to the higher leaf photosynthesis and less NPQ. Our results demonstrated variation of the SIF-GPP relationship within C4 crops and highlighted the importance of leaf physiology in determining canopy SIF behaviors and SIF-GPP relationships.
keywords:
Feedstock Production;Sustainability;Field Data
published:
2019-06-13
Rezapour, Rezvaneh; Diesner, Jana
(2019)
This lexicon is the expanded/enhanced version of the Moral Foundation Dictionary created by Graham and colleagues (Graham et al., 2013).
Our Enhanced Morality Lexicon (EML) contains a list of 4,636 morality related words.
This lexicon was used in the following paper - please cite this paper if you use this resource in your work.
Rezapour, R., Shah, S., & Diesner, J. (2019). Enhancing the measurement of social effects by capturing morality. Proceedings of the 10th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA). Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Minneapolis, MN.
In addition, please consider citing the original MFD paper:
<a href="https://doi.org/10.1016/B978-0-12-407236-7.00002-4">Graham, J., Haidt, J., Koleva, S., Motyl, M., Iyer, R., Wojcik, S. P., & Ditto, P. H. (2013). Moral foundations theory: The pragmatic validity of moral pluralism. In Advances in experimental social psychology (Vol. 47, pp. 55-130)</a>.
keywords:
lexicon; morality
published:
2022-02-08
Rapti, Zoi; Clifton, Sara
(2022)
Matlab codes for the article "Phage-antibiotic synergy inhibited by temperate and chronic virus competition". Code can be used to reproduce the article figures, perform the parameter sensitivity analysis and simulate the model.
keywords:
bacterium-phage-antibiotic model; ODEs; Matlab; sensitivity analysis
published:
2023-04-19
Supplemental data sets for the Manuscript entitled " Assembly of wood-inhabiting archaeal, bacterial and fungal communities along a salinity gradient: common taxa are broadly distributed but locally abundant in preferred habitats"
keywords:
wood decomposition; aquatic fungi; aquatic bacteria; aquatic archaea; microbial succession; microbial life-history
published:
2025-09-12
Dong, Hongxu; Clark, Lindsay; Lipka, Alexander; Brummer, Joe E.; Głowacka, Katarzyna; Hall, Megan C.; Heo, Kweon; Jin, Xiaoli; Peng, Junhua; Yamada, Toshihiko; Ghimire, Bimal Kumar; Yoo, Ji Hye; Yu, Chang Yeon; Zhao, Hua; Long, Stephen; Sacks, Erik
(2025)
Overwintering ability is an important selection criterion for Miscanthus breeding in temperate regions. Insufficient overwintering ability of the currently leading Miscanthus biomass cultivar, M. ×giganteus (M×g) ‘1993–1780′, in regions where average annual minimum temperatures are −26.1°C (USDA hardiness zone 5) or lower poses a pressing need to develop new cultivars with superior cold tolerance. To facilitate breeding of Miscanthus, this study characterized phenotypic and genetic variation of overwintering ability in an M. sinensis germplasm panel consisting of 564 accessions, evaluated in field trials at three locations in North America and two in Asia. Genome‐wide association (GWA) and genomic prediction analyses were performed. The Korea/N China M. sinensis genetic group is a valuable gene pool for cold tolerance. The Yangtze‐Qinling, Southern Japan, and Northern Japan genetic groups were also potential sources of cold tolerance. A total of 73 marker–trait associations were detected for overwintering ability. Estimated breeding value for overwintering ability based on these 73 markers could explain 55% of the variation for first winter overwintering ability among M. sinensis. Average genomic prediction ability for overwintering ability across 50 fivefold cross‐validations was high (~0.73) after accounting for population structure. Common genomic regions for overwintering ability were detected by GWA analyses and a previous parallel QTL mapping study using three interconnected biparental F1 populations. One QTL on Miscanthus LG 8 encompassed five GWA hits and a known cold‐responsive gene, COR47. The other overwintering ability QTL on Miscanthus LG 11 contained two GWA hits and three known cold stress‐related genes, carboxylesterase 13 (CEX13), WRKY2 transcription factor, and cold shock domain (CSDP1). Miscanthus accessions collected from high latitude locations with cold winters had higher rates of overwintering, and more alleles for overwintering, than accessions collected from southern locations with mild winters.
keywords:
Feedstock Production;Biomass Analytics;Genomics