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Illinois Data Bank Dataset Search Results
Dataset Search Results
published: 2025-10-15
York, Julia M.; Bhat, Shriram; Kim, Jinmu; Cardenas, Leyla; Cheng, Chi-Hing Christina (2025): Notothenia coriiceps and Paranotothenia angustata genome assemblies. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-7296574_V1
This repository contains supplementary information, alternate genome assemblies, annotation, and predicted protein datasets for Notothenia coriiceps and Paranotothenia angustata genome assemblies. Primary assemblies, mitochondrial assemblies, RNA-Seq data, and raw read data can be found under NCBI Bioproject PRJNA1310647.
keywords:
notothenioid; Antarctic; fish; genome; DNA
published: 2025-06-10
Purmessur, Cheeranjeev; Chow, Kaicheung; van Heck, Bernard; Kou, Angela (2025): Data for "Operation of a high frequency, phase slip qubit". University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-0982994_V1
This dataset contains all the raw and processed data used to generate the figures presented in the main text and the supplementary information of the paper "Operation of a high frequency, phase slip qubit." It also includes code for data analysis and code for generating the figures.
keywords:
phase slip qubit; superconducting qubit; quantum information; disordered superconductors
published: 2025-09-11
Ng, Yee Man Margaret; Goncalves, Alexandre (2025): Global YouTube Trending Dataset (2022–2025): Three Years of Platform-Curated, Cross-National Trends in Digital Culture. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-9307654_V1
We present a three-year archival, longitudinal dataset of YouTube Trending videos, collected from July 1, 2022, to June 30, 2025, four retrieval per day. This collection, a unique historical record of digital culture in transition, includes 446,971 snapshots from 104 countries, encompassing 726,627 unique videos and their associated metadata. Each record includes collection timestamp, geographic region, video ranking, core identifiers (video ID, channel ID, category), content metadata (title, description, tags, localization), language information, live status, view and comment counts. Full documentation: https://arxiv.org/abs/2510.23645 Unlike previous datasets with limited geographic scope or short timeframes, our data offers exceptional coverage for cross-national and longitudinal analyses of digital culture. This non-personalized data corpus provides an irreplaceable baseline for understanding crisis communication, platform governance or temporal shifts in content popularity.
keywords:
YouTube; Trending Videos; Digital Culture; Global Trend
published: 2025-10-07
Kamarei, Farhad; Lopez-Pamies, Oscar (2025): Computational data and mesh files for Nine circles of elastic brittle fracture: A series of challenge problems to assess fracture models. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-6684845_V1
This dataset accompanies the research paper "Nine circles of elastic brittle fracture: A series of challenge problems to assess fracture models" by Kamarei, Zeng, Dolbow, and Lopez-Pamies, CMAME (2026). The dataset contains computational mesh files, figure data, and supporting materials for nine standardized challenge problems designed to assess fracture models in isotropic elastic brittle materials under quasi-static loading conditions. The nine challenge problems span the complete range of fracture nucleation and propagation mechanisms: strength nucleation (uniaxial tension, biaxial tension, torsion), Griffith nucleation (pure-shear, double cantilever beam, trousers), and strength-Griffith mediated nucleation (single edge notch, indentation, poker-chip). The dataset includes: High-quality mesh files for all nine challenge problems Figure data and results for both linear elastic (soda-lime glass) and non-linear elastic (PU elastomer) brittle materials
keywords:
Fracture mechanics; Finite element analysis; Phase-field modeling; Strength; Toughness; Fracture nucleation; Fracture propagation; Experimental validation
published: 2025-10-09
Namoi, Nictor; Jang, Chunhwa; Voigt, Thomas; Lee, DoKyoung (2025): Data for Soil Fertility Management for Sustainable Miscanthus × giganteus Production: Increased Tiller Weight from Nitrogen Management Explains Yield Gains in Aged Miscanthus. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-7354127_V1
Aging-related yield decline in Miscanthus × giganteus (miscanthus) remains a major constraint to sustainable biomass production. This study evaluated how nitrogen (N) management and soil fertility influence yield-component traits and productivity in aging miscanthus. Trials were conducted at two sites established in 2008 at the University of Illinois Energy Farm, Urbana, IL. (i) The Sun Grant trial received 0, 60, and 120 kg N ha−1 annually until 2015. Starting 2021, half of each plot received 60 or 120 kg N ha−1, resulting in six legacy-contemporary treatments: 0N–0N, 0N–120N, 60N–0N, 60N–60N, 120N–0N, 120N–120N. (ii) The Energy Farm trial remained unfertilized until 2014, when one half of each plot received 56 kg N ha−1, forming two treatments: 0N–0N, 0N–56N. Sun Grant trial results showed N fertilization increased tiller density (tillers m−2) and tiller weight (g tiller−1) in juvenile to early-mature miscanthus (2011–2015). After N withdrawal, both traits declined (20 % and 40 %), though legacy effects persisted in tiller weight in the aging stands (2020–2023). Contemporary N had little effect on tiller density but increased tiller weight by 34 %–77 %, resulting in 23 %–106 % higher machine-harvested biomass yield in 0–120N, 60-60N, and 120-120N plots. At the Energy Farm trial, 0N–56N plots yielded 59 %–108 % more biomass than 0N–0N. Soil total N increased (Sun Grant: 47 % by 2020; Energy Farm: 58 % by 2023), while Mehlich-3 P (42 %–44 %) and K (21 %–46 %) declined. These findings identify tiller weight as a key determinant of biomass yield in aging miscanthus and highlight the need for P and K management for long-term productivity.
keywords:
miscanthus; nitrogen; soil
published: 2025-11-10
Banerjee, Shivali; Eilts, Kristen; Singh, Vijay (2025): Data for Harnessing the Potential of Oilcane Waste Mud for Recovering Biobased Waxes. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-5358468_V1
Oilcane is an engineered sugarcane with the ability to hyper-accumulate vegetative lipids. It is processed to obtain juice and bagasse as a potential substrate for the production of biofuels and biochemicals. The juice comprises solid particles that are separated as waste mud before the fermentation of the juice. In this study, the oilcane waste mud (OWM) generated from 1000 liters of oilcane juice was quantified and evaluated as a potential resource for recovering biobased waxes. Hexane and ethyl acetate were evaluated as two different solvents for extracting waxes from OWM followed by its purification using acetone. The extracted biobased wax samples were characterized for their chemical and thermal profiles which were then compared with commercial natural waxes. Detailed mass balance shows that 53.6 ± 2.6 kg (dry basis) of solid OWM gets generated upon processing 1000 L (~1068 kg) of oilcane juice. Hexane and ethyl acetate led to a crude wax yield of 25.6 ± 0.2% and 16.6 ± 0.4% (wt/wt, dry basis) respectively from OWM at the end of 8 h. The relative purification of the wax samples was reported in the range of 58%–65% (wt/wt). The purified OWM wax has a melting point of 74.7°C. The waste mud was valorized as a source of biobased waxes with characteristic chemical and thermal profiles comparable to commercial natural waxes (carnauba and beeswax). Considering the decline in the supply of petroleum wax in the future coupled with the switch to “greener” alternative products by consumers, OWM could be a valuable source of natural wax in the industrial sector reducing the dependence on petroleum waxes. Eventually, recovering biobased wax as a co-product from OWM would bring in an additional stream of revenue leading to the development of a zero-waste biorefinery based on bioenergy crops.
keywords:
Conversion;Biomass Analytics;Feedstock Bioprocessing;Hydrolysate
published: 2025-11-10
Raj, Tirath; Dien, Bruce; Singh, Vijay (2025): Data for Process Strategies for Recovery of Sugars, Lipids, and Lignin from Oilcane Bagasse Using Natural Deep Eutectic Solvents (NADES). University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-3353158_V1
Sugarcane is being enhanced as a bioenergy crop by engineering it to accumulate and store lipids along with polymeric sugars in vegetative tissues. However, there is no existing process that allows for processing this new crop to recover both lipid and cellulosic sugars from the oilcane bagasse. Therefore, a comprehensive investigation of two pretreatment methods—natural deep eutectic solvents (NADES) and chemical-free hydrothermal pretreatment (HT) was conducted to judge their suitability for recovering fermentable sugars, lipids, and lignin from bagasse. Two NADES, i.e., choline chloride: lactic acid (ChCl:LA) and betaine: lactic acid (BT:LA) were prepared using a 1:2 M ratio and were evaluated for pretreatment of oilcane bagasse at 10, 20, and 50 % (w/w) solids, followed by enzymatic hydrolysis at 10 % (w/w) solids. Notably, ChCl:LA NADES treatment at 10 % (w/w) solids at 140 °C for 2 h, solubilized 78.8 % of lignin and 80.4 % of hemicellulose and allowed 82.7 % enzymatic conversion of glucans to glucose. In contrast, HT pretreatment removed approximately 87.6 % of the hemicellulose and provided an enzymatic glucose yield of 69.7 %. Furthermore, ChCl:LA operated at 50 % solids loading the enriched lipids 2.6-fold (9.2 wt%) in recovered solids compared to HT (6.4 %) and BT:LA (5.1 %) pretreatment processes. NMR-HSQC and GPC analysis showed that ChCl:LA also cleaved the most lignin β–O–4 linkages and demonstrated lower molecular weight compared to HT. This study demonstrates that NADES pretreatment is an effective green processing method for recovering lipids, sugars, and lignin from bioenergy crops at high solid loading (50 % w/w) within the context of an integrated biorefinery.
keywords:
Conversion;Hydrolysate;Lipidomics
published: 2025-11-07
Ahmed, Md Wadud; Esquerre, Carlos A.; Eilts, Kristen; Allen, Dylan P.; McCoy, Scott M.; Varela, Sebastian; Singh, Vijay; Leakey, Andrew; Kamruzzaman, Mohammad (2025): Data for Rapid and High-Throughput Determination of Sorghum (Sorghum bicolor) Biomass Composition using Near Infrared Spectroscopy and Chemometrics. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-2574812_V1
Compositional characterization of biomass is vital for the biofuel industry. Traditional wet chemistry-based methods for analyzing biomass composition are laborious, time-consuming, and require extensive use of chemical reagents as well as highly skilled personnel. In this study, near-infrared (NIR) spectroscopy was used to quickly assess the composition of above-ground vegetative biomass from 113 diverse, photoperiod-sensitive, biomass-type sorghum (Sorghum bicolor) accessions cultivated under field conditions in Central Illinois. Biomass samples were analyzed using NIR spectra collected in the spectral range of 867–2536 nm, with their chemical compositions determined following the National Renewable Energy Laboratory (NREL) protocol. Advanced spectral pre-treatment and band selection techniques were utilized to develop calibration models using partial least squares regression (PLSR). The models’ effectiveness was assessed through cross-validation and independent data tests. The predictions for moisture, ash, extractives, glucan, xylan, acid-soluble lignin (ASL), acid-insoluble lignin (AIL), and total lignin were accurate and reliable, demonstrating the capability of NIR spectroscopy to provide rapid and precise characterization of sorghum biomass. The results demonstrated that NIR spectroscopy is an efficient tool for rapidly characterizing sorghum biomass, making it a sustainable option for screening desirable feedstock for biofuel or bioproduct production.
keywords:
Conversion;Feedstock Production;Biomass Analytics;Modeling
published: 2025-11-07
Lee, Ye-Gi; Kang, Nam Kyu; Kim, Chanwoo; Tran, Vinh; Cao, Mingfeng; Yoshikuni, Yasuo; Zhao, Huimin; Jin, Yong-Su (2025): Data for Self-Buffering System for Cost-Effective Production of Lactic Acid from Glucose and Xylose Using Acid-Tolerant Issatchenkia orientalis. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-4728338_V1
This study presents a cost-effective strategy for producing organic acids from glucose and xylose using the acid-tolerant yeast, Issatchenkia orientalis. I. orientalis was engineered to produce lactic acid from xylose, and the resulting strain, SD108XL, successfully converted sorghum hydrolysates into lactic acid. In order to enable low-pH fermentation, a self-buffering strategy, where the lactic acid generated by the SD108XL strain during fermentation served as a buffer, was developed. As a result, the SD108 strain produced 67 g/L of lactic acid from 73 g/L of glucose and 40 g/L of xylose, simulating a sugar composition of sorghum biomass hydrolysates. Moreover, techno-economic analysis underscored the efficiency of the self-buffering strategy in streamlining the downstream process, thereby reducing production costs. These results demonstrate the potential of I. orientalis as a platform strain for the cost-effective production of organic acids from cellulosic hydrolysates.
keywords:
Conversion;Gene Editing;Hydrolysate;Metabolic Engineering
published: 2025-11-06
Harrison, Wesley; Jiang, Guangde; Zhang, Zhengyi; Li, Maolin; Chen, Haoyu; Zhao, Huimin (2025): Data for Photoenzymatic Asymmetric Hydroamination for Chiral Alkyl Amine Synthesis. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-7913244_V1
Chiral alkyl amines are common structural motifs in pharmaceuticals, natural products, synthetic intermediates, and bioactive molecules. An attractive method to prepare these molecules is the asymmetric radical hydroamination; however, this approach has not been explored with dialkyl amine-derived nitrogen-centered radicals since designing a catalytic system to generate the aminium radical cation, to suppress deleterious side reactions such as α-deprotonation and H atom abstraction, and to facilitate enantioselective hydrogen atom transfer is a formidable task. Herein, we describe the application of photoenzymatic catalysis to generate and harness the aminium radical cation for asymmetric intermolecular hydroamination. In this reaction, the flavin-dependent ene-reductase photocatalytically generates the aminium radical cation from the corresponding hydroxylamine and catalyzes the asymmetric intermolecular hydroamination to furnish the enantioenriched tertiary amine, whereby enantioinduction occurs through enzyme-mediated hydrogen atom transfer. This work highlights the use of photoenzymatic catalysis to generate and control highly reactive radical intermediates for asymmetric synthesis, addressing a long-standing challenge in chemical synthesis.
keywords:
Conversion;Bioproducts;Catalysis
published: 2025-11-06
Slauch, James (2025): HilD 3'UTR GRIL-seq. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-1696116_V1
Salmonella HilD 3'UTR GRIL-seq sequencing data
keywords:
Salmonella; SPI1; hilD
published: 2025-11-06
Sweedler, Jonathan; Rosado Rosa, Joenisse M. (2025): Data for Insights on the Spatial Distribution of the Pseudomonas aeruginosa Biofilm Secondary Metabolites Under Swarming Motility-Inducing Conditions Using Mass Spectrometry Imaging. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-9950768_V1
SCiLS MSI data files, images used in the figures and table contents for the tables found in the manuscript. The figures are labeled by figure and by their title on each figure set, including those found in the Supplementary Information. The tables are in an MS Excel sheet with the corresponding contents. The tables list the metabolites found in the images. To reduce the number of images in the manuscript, the tables complete the metabolite information not observed in the images. The images can be found using the SCiLS data files. A software license is needed to open these files. The SCiLS data files contains the processed MSI data for all obtained images. All files in the corresponding SCiLS data file must be present to open the individual data file. The feature list used for MSI analysis should be saved on the attached bookmark inside the SCiLS file so it should be available once the file is opened. SCiLS files can only be opened with the Bruker SCiLS software. If using an outdated version (before Version 13.01.17218), the files may not open or show poor quality.
keywords:
Tendrils; Pyocyanin; Quinolones; Spatiochemical; Metabolomics
published: 2025-11-06
Deshavath, Narendra Naik; Woodruff, William; Eller, Fred; Susanto, Vionna; Yang, Cindy; Rao, Christopher V.; Singh, Vijay (2025): Data for Scale-up of Microbial Lipid and Bioethanol Production from Oilcane. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-7281780_V1
Microbial oils are a sustainable biomass-derived substitute for liquid fuels and vegetable oils. Oilcane, an engineered sugarcane with superior feedstock characteristics for biodiesel production, is a promising candidate for bioconversion. This study describes the processing of oilcane stems into juice and hydrothermally pretreated lignocellulosic hydrolysate and their valorization to ethanol and microbial oil using Saccharomyces cerevisiae and engineered Rhodosporidium toruloides strains, respectively. A bioethanol titer of 106 g/L was obtained from S. cerevisiae grown on oilcane juice in a 3 L fermenter, and a lipid titer of 8.8 g/L was obtained from R. toruloides grown on oilcane hydrolysate in a 75 L fermenter. Oil was extracted from the R. toruloides cells using supercritical CO2, and the observed fatty acid profile was consistent with previous studies on this strain. These results demonstrate the feasibility of pilot-scale lipid production from oilcane hydrolysate as part of an integrated bioconversion strategy.
keywords:
Conversion;Bioproducts;Feedstock Bioprocessing;Hydrolysate
published: 2025-11-04
Berardi, Danielle; Hartman, Melannie; Brzostek, Edward; Bernacchi, Carl; DeLucia, Evan H.; von Haden, Adam C.; Kantola, Ilsa B.; Moore, Caitlin; Yang, Wendy; Hudiburg, Tara; Parton, William J. (2025): Data for Microbial-Explicit Processes and Refined Perennial Plant Traits Improve Modeled Ecosystem Carbon Dynamics. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-8444610_V1
Globally, soils hold approximately half of ecosystem carbon and can serve as a source or sink depending on climate, vegetation, management, and disturbance regimes. Understanding how soil carbon dynamics are influenced by these factors is essential to evaluate proposed natural climate solutions and policy regarding net ecosystem carbon balance. Soil microbes play a key role in both carbon fluxes and stabilization. However, biogeochemical models often do not specifically address microbial-explicit processes. Here, we incorporated microbial-explicit processes into the DayCent biogeochemical model to better represent large perennial grasses and mechanisms of soil carbon formation and stabilization. We also take advantage of recent model improvements to better represent perennial grass structural complexity and life-history traits. Specifically, this study focuses on: 1) a plant sub-model that represents perennial phenology and more refined plant chemistry with downstream implications for soil organic matter (SOM) cycling though litter inputs, 2) live and dead soil microbe pools that influence routing of carbon to physically protected and unprotected pools, 3) Michaelis-Menten kinetics rather than first-order kinetics in the soil decomposition calculations, and 4) feedbacks between decomposition and live microbial pools. We evaluated the performance of the plant sub-model and two SOM cycling sub-models, Michaelis-Menten (MM) and first-order (FO), using observations of net ecosystem production, ecosystem respiration, soil respiration, microbial biomass, and soil carbon from long-term bioenergy research plots in the mid-western United States. The MM sub-model represented seasonal dynamics of soil carbon fluxes better than the FO sub-model which consistently overestimated winter soil respiration. While both SOM sub-models were similarly calibrated to total, physically protected, and physically unprotected soil carbon measurements, the models differed in future soil carbon response to disturbance and climate, most notably in the protected pools. Adding microbial-explicit mechanisms of soil processes to ecosystem models will improve model predictions of ecosystem carbon balances but more data and research are necessary to validate disturbance and climate change responses and soil pool allocation.
keywords:
Sustainability;Field Data;Modeling;Plant-Soil Microbiome
published: 2025-11-03
Banerjee, Shivali; Dien, Bruce; Eilts, Kristen; Sacks, Erik; Singh, Vijay (2025): Data for Pilot-Scale Processing of Miscanthus x giganteus for Recovery of Anthocyanins Integrated with Production of Microbial Lipids and Lignin-Rich Residue. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-2554739_V1
Chemical-free hydrothermal pretreatment of Miscanthus x giganteus (Mxg) at the lab scale using high liquid-to-solid ratios resulted in the recovery of anthocyanins and enhanced enzymatic digestibility of residual biomass. In this study, the process is scaled up by using a continuous hydrothermal pretreatment reactor operated at a low liquid-to-solid ratio (50 % w/w solids) as an important step towards commercialization. Anthocyanin yield was 70 % w/w at the pilot scale (50 kg of Mxg), compared to the 94 % w/w yield achieved at the lab scale (0.5 g of Mxg). The pretreated biomass was subsequently refined mechanically using a disc mill to increase the accessibility of cellulose by cellulases. Enzymatic saccharification of the pretreated and disc-milled residue yielded 238 g/L sugar concentration by operating in fed-batch mode at 50 % w/v solids content. Two strains of Rhodosporidium toruloides were evaluated for converting the hydrolysate sugars into microbial lipids, and strain Y-6987 had the highest lipid titer (11.0 g/L). Further, the residue left after enzymatic saccharification was determined to be enriched 1.7-fold in the lignin content. This lignin-rich residue has value as a feedstock for the production of sustainable aviation fuel precursors and other high-value lignin-based chemicals. Hence the proposed biorefinery based on Mxg creates an opportunity for generating revenue from multiple high-value products. As the demand for biofuels and biobased products is rising, the biorefinery products from Mxg would create a niche in the industrial sector.
keywords:
Conversion;Feedstock Production;Feedstock Bioprocessing;Hydrolysate;Lipidomics
published: 2025-11-03
Anaokar, Sanket; Liang, Yuanxue; Yu, Xiao-Hong; Cai, Yingqi; Cai, Yuanheng; Shanklin, John (2025): Data for the Expression of Genes Encoding Novel Sesame Oleosin Variants Facilitates Enhanced Triacylglycerol Accumulation in Arabidopsis Leaves and Seeds. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-1211193_V1
Triacylglycerols (TAG), accumulate within lipid droplets (LD), predominantly surrounded by OLEOSINs (OLE), that protect TAG from hydrolysis. We tested the hypothesis that identifying and removing degradation signals from OLE would promote its abundance, preventing TAG degradation and enhancing TAG accumulation. We tested whether mutating potential ubiquitin-conjugation sites in a previously reported improved Sesamum indicum OLE (SiO) variant, o3-3 Cys-OLE (SiCO herein), would stabilize it and increase its lipogenic potential. SiCOv1 was created by replacing all five lysines in SiCO with arginines. Separately, six cysteine residues within SiCO were deleted to create SiCOv2. SiCOv1 and SiCOv2 mutations were combined to create SiCOv3. Transient expression of SiCOv3 in Nicotiana benthamiana increased TAG by two-fold relative to SiCO. Constitutive expression of SiCOv3 or SiCOv5, containing the five predominant TAG-increasing mutations from SiCOv3, in Arabidopsis along with mouse DGAT2 (mD) increased TAG accumulation by 54% in leaves and 13% in seeds compared with control lines coexpressing SiCO and mD. Lipid synthesis rates increased, consistent with an increase in lipid sink strength that sequesters newly synthesized TAG, thereby relieving the constitutive BADC-dependent inhibition of ACCase reported for WT Arabidopsis. These OLE variants represent novel factors for potentially increasing TAG accumulation in a variety of oil crops.
keywords:
Feedstock Production;Genomics;Lipidomics
published: 2025-11-03
Kim, Min Soo; Choi, Dasol; Ha, Jihyo; Choi, Kyuhyeok; Yu, Jae-Hyuk; Dumesic, James; Huber, George (2025): Data for Catalytic Strategy for Conversion of Triacetic Acid Lactone to Potassium Sorbate. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-2241165_V1
This study shows a new route to produce potassium sorbate (KS) from triacetic acid lactone (TAL), which is a chemical platform that can be biologically synthesized from natural sources. Sorbic acid and its potassium salt (KS) are widely used as preservatives in foods and pharmaceuticals. Three steps are used to produce KS from TAL: 1) hydrogenation of TAL into 4-hydroxy-6-methyltetrahydro-2-pyrone (HMP), 2) dehydration of HMP to parasorbic acid (PSA), and 3) ring-opening and hydrolysis of PSA to KS. TAL can be fully hydrogenated over Ni/SiO2 to give near quantitative yields of HMP. A three-step reaction kinetics model was developed for dehydration of HMP into PSA. This model was used to show that the highest PSA yield occurs at low temperatures. An experimental PSA yield of 84.2% with respect to TAL was obtained which agreed with the prediction of the reaction kinetics model. KOH was used as a coreactant for the ring-opening hydrolysis of PSA to produce >99.9% yield of KS from PSA. Tetrahydrofuran (THF) was used to purify the TAL derived-KS (TAL-KS). The TAL-KS had a KS purity of 95.5%. The overall yield of TAL-KS with respect to TAL was calculated to be 77.3%. TAL-KS produced in this study had similar antimicrobial activities as commercial KS.
keywords:
Conversion;Catalysis;Modeling
published: 2025-11-03
von Haden, Adam C.; Eddy, William; Burnham, Mark B.; Brzostek, Edward; Yang, Wendy; DeLucia, Evan H. (2025): Data for Root Exudation Links Root Traits to Soil Functioning in Agroecosystems. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-8894698_V1
Root exudation is a key process for plant nutrient acquisition, but the controls on root exudation and its relationship to soil C and N processes in agroecosystems are unclear. We hypothesized that root exudation rates would be related to root morphological traits, N fertilization, and soil moisture. We also anticipated that root exudation would be correlated with bulk soil enzyme activity. Root exudation, root traits, and bulk soil extracellular enzyme activity were assessed in maize (Zea mays L.), soybean (Glycine max (L.) Merr.), biomass sorghum (Sorghum bicolor (L.) Moench), giant miscanthus (Miscanthus × giganteus), and switchgrass (Panicum virgatum L.). Measurements were taken in situ during two growing seasons with contrasting precipitation regimes, and N fertilization rate was varied in sorghum during one year. Specific root exudation (per unit root surface area) was negatively related to root diameter and was generally higher in annuals than perennials. Sorghum N fertilization did not affect root exudation rates, and soil moisture regime had no effect on annual root exudation rates within maize, sorghum, and miscanthus. Specific root exudation was negatively related to bulk soil C- and N-degrading soil enzyme activities. Intrinsic plant characteristics appeared more important than environmental variables in controlling in situ root exudation rates. The relationships between root diameter, root exudation, and soil C and N processes link root morphological traits to soil functions and demonstrate the potential tradeoffs among plant nutrient acquisition strategies in agroecosystems.
keywords:
Sustainability;Biomass Analytics;Field Data
published: 2025-11-03
Woodruff, William; Deshavath, Narendra Naik; Susanto, Vionna; Rao, Christopher V.; Singh, Vijay (2025): Data for Tolerance of Engineered Rhodosporidium toruloides to Sorghum Hydrolysates During Batch and Fed-Batch Lipid Production. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-6698788_V1
Oleaginous yeasts are a promising candidate for the sustainable conversion of lignocellulosic feedstocks into fuels and chemicals, but their growth on these substrates can be inhibited as a result of upstream pretreatment and enzymatic hydrolysis conditions. Previous studies indicate a high citrate buffer concentration during hydrolysis inhibits downstream cell growth and ethanol fermentation in Saccharomyces cerevisiae. In this study, an engineered Rhodosporidium toruloides strain with enhanced lipid accumulation was grown on sorghum hydrolysate with high and low citrate buffer concentrations. Both hydrolysis conditions resulted in similar sugar recovery rates and concentrations. No significant differences in cell growth, sugar utilization rates, or lipid production rates were observed between the two citrate buffer conditions during batch fermentation of R. toruloides. Under fed-batch growth on low-citrate hydrolysate a lipid titer of 16.7 g/L was obtained. Citrate buffer was not found to inhibit growth or lipid production in this engineered R. toruloides strain, nor did reducing the citrate buffer concentration negatively affect sugar yields in the hydrolysate. As this process is scaled-up, $131 per ton of hydrothermally pretreated biomass can be saved by use of the lower citrate buffer concentration during enzymatic hydrolysis.
keywords:
Conversion;Hydrolysate;Lipidomics
published: 2025-11-03
Blanc-Betes, Elena; Gomez-Casanovas, Nuria; Hartman, Melannie D.; Hudiburg, Tara W.; Khanna, Madhu; Parton, William; DeLucia, Evan H. (2025): Data for Climate vs Energy Security: Quantifying the Trade-offs of BECCS Deployment and Overcoming Opportunity Costs on Set-Aside Land. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-5374638_V1
Bioenergy with carbon capture and storage (BECCS) sits at the nexus of the climate and energy security. We evaluated trade-offs between scenarios that support climate stabilization (negative emissions and net climate benefit) or energy security (ethanol production). Our spatially explicit model indicates that the foregone climate benefit from abandoned cropland (opportunity cost) increased carbon emissions per unit of energy produced by 14–36%, making geologic carbon capture and storage necessary to achieve negative emissions from any given energy crop. The toll of opportunity costs on the climate benefit of BECCS from set-aside land was offset through the spatial allocation of crops based on their individual biophysical constraints. Dedicated energy crops consistently outperformed mixed grasslands. We estimate that BECCS allocation to land enrolled in the Conservation Reserve Program (CRP) could capture up to 9 Tg C year–1 from the atmosphere, deliver up to 16 Tg CE year–1 in emissions savings, and meet up to 10% of the US energy statutory targets, but contributions varied substantially as the priority shifted from climate stabilization to energy provision. Our results indicate a significant potential to integrate energy security targets into sustainable pathways to climate stabilization but underpin the trade-offs of divergent policy-driven agendas.
keywords:
Sustainability;Field Data;Modeling
published: 2025-11-03
Blake-Bradshaw, Abigail; Bradshaw, Therin; Beilke, Elizabeth; Gilbert, Andrew; Osborn, Joshua; Fournier, Auriel M.V. (2025): Data for Pre-Filtering Gunshot Acoustics for Robust Training Data in Open-Set Ecological Sound Classification. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-5664241_V1
Data consist of 55 acoustic recordings collected using Autonomous Recording Units (ARUs) from two locations and sampling periods. Specifically, data include 60-minute WAV files (8 folders, each contains 5 WAV files) from a field trial during February 2025 whereby we shot shotguns at varying distance from ARUs at Emiquon Reserve owned by The Nature Conservancy. Data also include 60-minute WAV files (15 WAV files) from one ARU placed at Big Rice Lake State Fish and Wildlife Area on opening day of waterfowl hunting season during 10-26-2024. Filenames include the ARU ID separated by underscores and the associated date and time e.g., MINI10_20241026_060002.wav was from MINI10 on 10/26/24 at 6 AM.
keywords:
hunting; shotgun; waterfowl; acoustics
published: 2025-10-31
Lopes, Daiane; Dien, Bruce; Hector, Ronald; Singh, Vijay; Thompson, Stephanie R.; Slininger, Patricia J.; Boundy-Mills, Kyria; Jagtap, Sujit; Rao, Christopher V. (2025): Data for Determining Mating Type and Ploidy in Rhodotorula toruloides and its Effect on Growth on Sugars from Lignocellulosic Biomass. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-9367191_V1
Rhodotorula toruloides is being developed for the use in industrial biotechnology processes because of its favorable physiology. This includes its ability to produce and store large amounts of lipids in the form of intracellular lipid bodies. Nineteen strains were characterized for mating type, ploidy, robustness for growth, and accumulation of lipids on inhibitory switchgrass hydrolysate (SGH). Mating type was determined using a novel polymerase chain reaction (PCR)-based assay, which was validated using the classical microscopic test. Three of the strains were heterozygous for mating type (A1/A2). Ploidy analysis revealed a complex pattern. Two strains were triploid, eight haploid, and eight either diploid or aneuploid. Two of the A1/A2 strains were compared to their parents for growth on 75%v/v concentrated SGH. The A1/A2 strains were much more robust than the parental strains, which either did not grow or had extended lag times. The entire set was evaluated in 60%v/v SGH batch cultures for growth kinetics and biomass and lipid production. Lipid titers were 2.33–9.40 g/L with a median of 6.12 g/L, excluding the two strains that did not grow. Lipid yields were 0.032–0.131 (g/g) and lipid contents were 13.5–53.7% (g/g). Four strains had significantly higher lipid yields and contents. One of these strains, which had among the highest lipid yield in this study (0.131 ± 0.007 g/g), has not been previously described in the literature.
keywords:
Conversion;Hydrolysate;Lipidomics
published: 2025-10-30
Cao, Dang Viet; Luo, Guangbin; Korynta, Shelby; Liu, Hui; Liang, Yuanxue; Shanklin, John; Altpeter, Fredy (2025): Data for Intron-Mediated Enhancement of DIACYLGLYCEROL ACYLTRANSFERASE1 Expression in Energycane Promotes a Step Change for Lipid Accumulation in Vegetative Tissues. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-1878841_V1
Metabolic engineering for hyperaccumulation of lipids in vegetative tissues is a novel strategy for enhancing energy density and biofuel production from biomass crops. Energycane is a prime feedstock for this approach due to its high biomass production and resilience under marginal conditions. DIACYLGLYCEROL ACYLTRANSFERASE (DGAT) catalyzes the last and only committed step in the biosynthesis of triacylglycerol (TAG) and can be a rate-limiting enzyme for the production of TAG. In this study, we explored the effect of intron-mediated enhancement (IME) on the expression of DGAT1 and resulting accumulation of TAG and total fatty acid (TFA) in leaf and stem tissues of energycane. To maximize lipid accumulation these evaluations were carried out by co-expressing the lipogenic transcription factor WRINKLED1 (WRI1) and the TAG protect factor oleosin (OLE1). Including an intron in the codon-optimized TmDGAT1 elevated the accumulation of its transcript in leaves by seven times on average based on 5 transgenic lines for each construct. Plants with WRI1 (W), DGAT1 with intron (Di), and OLE1 (O) expression (WDiO) accumulated TAG up to a 3.85% of leaf dry weight (DW), a 192-fold increase compared to non-modified energycane (WT) and a 3.8-fold increase compared to the highest accumulation under the intron-less gene combination (WDO). This corresponded to TFA accumulation of up to 8.4% of leaf dry weight, a 2.8-fold or 6.1-fold increase compared to WDO or WT, respectively. Co-expression of WDiO resulted in stem accumulations of TAG up to 1.14% of DW or TFA up to 2.08% of DW that exceeded WT by 57-fold or 12-fold and WDO more than twofold, respectively. Constitutive expression of these lipogenic “push pull and protect” factors correlated with biomass reduction. Intron-mediated enhancement (IME) of the expression of DGAT resulted in a step change in lipid accumulation of energycane and confirmed that under our experimental conditions it is rate limiting for lipid accumulation. IME should be applied to other lipogenic factors and metabolic engineering strategies. The findings from this study may be valuable in developing a high biomass feedstock for commercial production of lipids and advanced biofuels.
keywords:
Feedstock Production;Lipidomics;Metabolomics
published: 2025-10-30
Dwivedi, Nidhi; Yamamoto, Senri; Zhao, Yunjun; Hou, Guichuan; Bowling, Forrest; Tobimatsu, Yuki; Liu, Chang-Jun (2025): Data for Simultaneous Suppression of Lignin, Tricin and Wall-Bound Phenolic Biosynthesis via the Expression of Monolignol 4-O-Methyltransferases in Rice. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-1678517_V1
Grass lignocelluloses feature complex compositions and structures. In addition to the presence of conventional lignin units from monolignols, acylated monolignols and flavonoid tricin also incorporate into lignin polymer; moreover, hydroxycinnamates, particularly ferulate, cross-link arabinoxylan chains with each other and/or with lignin polymers. These structural complexities make grass lignocellulosics difficult to optimize for effective agro-industrial applications. In the present study, we assess the applications of two engineered monolignol 4-O-methyltransferases (MOMTs) in modifying rice lignocellulosic properties. Two MOMTs confer regiospecific para-methylation of monolignols but with different catalytic preferences. The expression of MOMTs in rice resulted in differential but drastic suppression of lignin deposition, showing more than 50% decrease in guaiacyl lignin and up to an 90% reduction in syringyl lignin in transgenic lines. Moreover, the levels of arabinoxylan-bound ferulate were reduced by up to 50%, and the levels of tricin in lignin fraction were also substantially reduced. Concomitantly, up to 11 μmol/g of the methanol-extractable 4-O-methylated ferulic acid and 5–7 μmol/g 4-O-methylated sinapic acid were accumulated in MOMT transgenic lines. Both MOMTs in vitro displayed discernible substrate promiscuity towards a range of phenolics in addition to the dominant substrate monolignols, which partially explains their broad effects on grass phenolic biosynthesis. The cell wall structural and compositional changes resulted in up to 30% increase in saccharification yield of the de-starched rice straw biomass after diluted acid-pretreatment. These results demonstrate an effective strategy to tailor complex grass cell walls to generate improved cellulosic feedstocks for the fermentable sugar-based production of biofuel and bio-chemicals.
keywords:
Feedstock Production;Biomass Analytics;Genome Engineering
published: 2025-10-30
Yang, Boming; Yang, Pan; Golub, Emma; Cai, Ximing (2025): Data for The Role of Social Support on Midwestern Farmers’ Willingness to Grow Perennial Bioenergy Crops. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-8753775_V1
The lack of farmers’ willingness to grow perennial bioenergy crops (PBCs) presents a critical barrier to the emergence of cellulosic biofuel production. The willingness relies on a complex network of economic, environmental, and social drivers, among which the influence of social factors (e.g., the influence of neighborhood, community, and communication) is less understood. This study addresses this knowledge gap via a survey analysis of midwestern farmers. The survey data are analyzed through ordinary least square regression and structural equation model, which together investigate the individual and interactive impacts of multiple factors on farmers’ decisions to adopt PBCs. Based on a farm-scale analysis, six statistically significant predictors of farmer willingness to grow PBCs are identified: perception of PBCs’ environment benefits, education level, willingness to take risks, familiarity with PBCs, portion of peers already growing PBCs, and support of biorefineries locating in the local community. Among these, the latter three predictors are social support variables. It is found that familiarity with the crops is the most significant predictor of willingness; familiarity is also an important intermediate variable that mediates the influence of many other predictors. In addition, peer adoption can both directly and indirectly affect willingness via its influence on familiarity. These findings suggest that it is a pressing need to improve farmers’ knowledge of PBCs to promote the adoption of such crops.
keywords:
Sustainability;Economics
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