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Illinois Data Bank Dataset Search Results

Dataset Search Results

published: 2024-09-24
 
Data at the lake summary and individual crayfish level that supports the manuscript Sawyer, E.K., Kreps, T. A., Lodge, D. M. and E.R. Larson. “Long-term declines in body size of the invasive rusty crayfish (Faxonius rusticus) in temperate lakes." Includes size measurements of 69,303 individual rusty crayfish (Faxonius rusticus) for 17 lakes of Vilas County, Wisconsin, United States collected between 1980 and 2020.
keywords: body size; Faxonius rusticus; invasive species; non-native species; rusty crayfish; Wisconsin; Vilas County
published: 2024-09-19
 
The use of potentially beneficial microorganisms in agriculture (microbial inoculants) has rapidly accelerated in recent years. For microbial inoculants to be effective as agricultural tools, these organisms must be able to survive and persist in novel environments while not destabilizing the resident community or spilling over into adjacent natural ecosystems. Here, we adapt a macroecological propagule pressure model to a microbial scale and present an experimental approach for testing the role of propagule pressure in microbial inoculant introductions. We experimentally determined the risk-release relationship for an IAA-expressing Pseudomonas simiae inoculant in a model monocot system. We then used this relationship to simulate establishment outcomes under a range of application frequencies (propagule number) and inoculant concentrations (propagule size). Our simulations show that repeated inoculant applications may increase establishment, even when increased inoculant concentration does not alter establishment probabilities. The dataset filed here includes the experimemtal datafile, and a RMarkdown file that includes all the code used in in both the modeling and anaylsis.
keywords: microbial inoculants; invasion ecology; propagule pressure; agriculture; modeling
published: 2024-09-03
 
Healthy mares were administered phenylephrine to induce transient polycythemia secondary to splenic contraction. Data was collected at baseline (T0), 5 minutes (T1) and 2 hours (T2) post-phenylephrine infusion. Collected data included baseline CBC, chemistry, fibrinogen, and serum amyloid A; at each time point viscoelastic coagulation profiles (VCM Vet), traditional in-vitro coagulation profiles, and ultrasonographic measurements of the spleen were obtained.
keywords: horse; coagulation; polycythemia; blood clotting; viscoelastic testing
published: 2024-08-29
 
Over the past 15 years, soybean seed yield response to season-long elevated O3 concentrations [O3] and to year-to-year weather conditions was studied using free-air O3 concentration enrichment (O3-FACE) in the field at the SoyFACE facility in Central Illinois. Elevated [O3] significantly reduced seed yield across cultivars and years. However, our results quantitatively demonstrate that weather conditions, including soil water availability and air temperature, did not alter yield sensitivity to elevated [O3] in soybean.
keywords: drought, elevated O3, heat, O3-FACE, soybean, yield
published: 2022-10-10
 
Aerial imagery utilized as input in the manuscript "Deep convolutional neural networks exploit high spatial and temporal resolution aerial imagery to predict key traits in miscanthus" . Data was collected over M. Sacchariflorus and Sinensis breeding trials at the Energy Farm, UIUC in 2020. Flights were performed using a DJI M600 mounted with a Micasense Rededge multispectral sensor at 20 m altitude around solar noon. Imagery is available as tif file by field trial and date (10). The post-processing of raw images into orthophoto was performed in Agisoft Metashape software. Each crop surface model and multispectral orthophoto was stacked into an unique raster stack by date and uploaded here. Each raster stack includes 6 layers in the following order: Layer 1 = crop surface model, Layer 2 = Blue, Layer 3 = Green, Layer 4 = Red, Layer 5 = Rededge, and Layer 6 = NIR multispectral bands. Msa raster stacks were resampled to 1.67 cm spatial resolution and Msi raster stacks were resampled to 1.41 cm spatial resolution to ease their integration into further analysis. 'MMDDYYYY' is the date of data collection, 'MSA' is M. Sacchariflorus trial, 'MSI' is Miscanthus Sinensis trial, 'CSM' is crop surface model layer, and 'MULTSP' are the five multispectral bands.
keywords: convolutional neural networks; miscanthus; perennial grasses; bioenergy; field phenotyping; remote sensing; UAV
published: 2024-08-13
 
Scripts used to computationally estimate the current through a DNA nanopore, starting from an equilibrated oxDNA configuration, in association with the manuscript "A lumen-tunable triangular DNA nanopore for molecular sensing and cross-membrane transport".
keywords: DNA origami nanopore; Steric exclusion model; Ionic current
published: 2024-08-24
 
Dataset associated with Jones et al. GCB-23-1273.R1 submission: Phenotypic signatures of urbanization? Resident, but not migratory, songbird eye size varies with urban-associated light pollution levels. Excel CSV file with all of the data used in analyses and file with descriptions of each column.
keywords: body size; demographics; eye size; phenotypic divergence; songbirds; sensory pollution; urbanization
published: 2024-08-15
 
This study acquired publicly available Shell annual reports. Reports were selected for the years since the UN investigation in 2011, resulting in documents from 2012 to 2023.
keywords: environmental justice; ethics of care; indigenous communities; Niger River Delta; oil spills
published: 2024-08-19
 
Data on the nesting success and post-fledgling survival of Eastern Whip-poor-wills in central Illinois. Data was part of Sarah Stewart's MS project at the University of Illinois.
keywords: bird nesting success; post-fledgling survival; eastern whip-poor-will
published: 2024-08-17
 
This dataset includes the RT-PCR shedding data and primers used for whole genome sequencing of Influenza A virus in swine. It also includes the GenBank accession numbers for all segments generated by Influenza A virus sequencing from nasal swab samples. Additionally, all nucleotide changes are listed by sample.
published: 2024-08-11
 
This dataset contains all material required to produce the figures found within the manuscript submitted to Geoscientific Model Development entitled “Explicit stochastic advection algorithms for the regional scale particle-resolved atmospheric aerosol model WRF-PartMC (v1.0)”. The dataset consists of Python Jupyter notebooks and any applicable WRF-PartMC output. This dataset covers the three numerical examples of the manuscript, 1D advection by a uniform constant wind, a 2D rotational flow and a 3D time-evolving WRF simulated flow.
keywords: Atmospheric chemistry; Atmospheric Science; Particle-resolved modeling; Numerical modeling; Advection;
published: 2024-07-31
 
This dataset contains all data and supplementary materials from "Improving precision and accuracy of genetic mapping with genotyping-by-sequencing data in outcrossing species". An Excel file a list of all QTLs and linkage group length (in cM) obtained with two different SNP-calling methods (Tassel-Uneak and Tassel-GBS), genetic map-construction method (linkage-only and reference order-corrected) and depth filters (12x, 20x, 30x and 40x) for genetic mapping of 18 biomass yield traits in a biparental Miscanthus sinensis population using RAD-Seq SNPs is provided as "Supplementary file 1". A Perl script with the code for filtering VCF and HapMap-formatted data files is provided as “Supplementary file 2”. Phenotype data used for QTL mapping is provided as “Supplementary File 3”. A Perl script with the code for the simulation study is provided as “Supplementary file 4”.
keywords: HapMapParser; GenotypingSimulator
published: 2024-07-12
 
Data for each figure of the article "Greater aperture counteracts effects of reduced stomatal density on WUE: a case study on sugarcane and meta-analysis" published in J. Ex. Bot.
keywords: stomatal density; water use efficiency; stomatal conductance; epidermal patterning factor; epidermal patterning
published: 2018-12-20
 
This dataset contains data used to generate figures and tables in the corresponding paper.
keywords: Black carbon; Emission Inventory; Observations; Climate change, Diesel engine, Coal burning
published: 2020-11-18
 
This is the dataset that accompanies the paper titled "A Dual-Frequency Radar Retrieval of Snowfall Properties Using a Neural Network", submitted for peer review in August 2020. Please see the github for the most up-to-date data after the revision process: https://github.com/dopplerchase/Chase_et_al_2021_NN Authors: Randy J. Chase, Stephen W. Nesbitt and Greg M. McFarquhar Corresponding author: Randy J. Chase (randyjc2@illinois.edu) Here we have the data used in the manuscript. Please email me if you have specific questions about units etc. 1) DDA/GMM database of scattering properties: base_df_DDA.csv This is the combined dataset from the following papers: Leinonen & Moisseev, 2015; Leinonen & Szyrmer, 2015; Lu et al., 2016; Kuo et al., 2016; Eriksson et al., 2018. The column names are D: Maximum dimension in meters, M: particle mass in grams kg, sigma_ku: backscatter cross-section at ku in m^2, sigma_ka: backscatter cross-section at ka in m^2, sigma_w: backscatter cross-section at w in m^2. The first column is just an index column. 2) Synthetic Data used to train and test the neural network: Unrimed_simulation_wholespecturm_train_V2.nc, Unrimed_simulation_wholespecturm_test_V2.nc This was the result of combining the PSDs and DDA/GMM particles randomly to build the training and test dataset. 3) Notebook for training the network using the synthetic database and Google Colab (tensorflow): Train_Neural_Network_Chase2020.ipynb This is the notebook used to train the neural network. 4)Trained tensorflow neural network: NN_6by8.h5 This is the hdf5 tensorflow model that resulted from the training. You will need this to run the retrieval. 5) Scalers needed to apply the neural network: scaler_X_V2.pkl, scaler_y_V2.pkl These are the sklearn scalers used in training the neural network. You will need these to scale your data if you wish to run the retrieval. 6) <b>New in this version</b> - Example notebook of how to run the trained neural network on Ku- Ka- band observations. We showed this with the 3rd case in the paper: Run_Chase2021_NN.ipynb 7) <b>New in this version</b> - APR data used to show how to run the neural network retrieval: Chase_2021_NN_APR03Dec2015.nc The data for the analysis on the observations are not provided here because of the size of the radar data. Please see the GHRC website (<a href="https://ghrc.nsstc.nasa.gov/home/">https://ghrc.nsstc.nasa.gov/home/</a>) if you wish to download the radar and in-situ data or contact me. We can coordinate transferring the exact datafiles used. The GPM-DPR data are avail. here: <a href="http://dx.doi.org/10.5067/GPM/DPR/GPM/2A/05">http://dx.doi.org/10.5067/GPM/DPR/GPM/2A/05</a>
published: 2022-07-25
 
A set of chemical entity mentions derived from an NERC dataset analyzing 900 synthetic biology articles published by the ACS. This data is associated with the Synthetic Biology Knowledge System repository (https://web.synbioks.org/). The data in this dataset are raw mentions from the NERC data.
keywords: synthetic biology; NERC data; chemical mentions
published: 2022-07-25
 
Related to the raw entity mentions (https://doi.org/10.13012/B2IDB-4163883_V1), this dataset represents the effects of the data cleaning process and collates all of the entity mentions which were too ambiguous to successfully link to the ChEBI ontology.
keywords: synthetic biology; NERC data; chemical mentions; ambiguous entities
published: 2024-04-15
 
The dataset contains trajectories of Pt nanoparticles in 1.98 mM NaBH4 and NaCl, tracked under liquid-phase TEM. The coordinates (x, y) of nanoparticles are provided, together with the conversion factor that translates pixel size to actual distance. In the file, ∆t denotes the time interval and NaN indicates the absence of a value when the nanoparticle has not emerged or been tracked. The labeling of nanoparticles in the paper is also noted in the second row of the file.
keywords: nanomotor; liquid-phase TEM
published: 2024-07-15
 
Rising global temperatures and urban heat island effects challenge environmental health and energy systems at the city level, particularly in summer. Increased heatwaves raise energy demand for cooling, stressing power facilities, increasing costs, and risking blackouts. Heat impacts vary across cities due to differences in urban morphology, geography, land use, and land cover, highlighting vulnerable areas needing targeted heat mitigation. Urban tree canopies, a nature-based solution, effectively mitigate heat. Trees provide shade and cooling through evaporation, improving thermal comfort, reducing air conditioning energy consumption, and enhancing climate resilience. This report focused on the ComEd service area in the Chicago Metropolitan Region and assessed the impacts of population growth, urbanization, climate change, and an ambitious plan to plant 1 million trees. The report evaluated planting 1 million trees to quantify regional cooling effects projected for the 2030s. Afforestation locations were selected to avoid interference with existing infrastructure. Key findings include (i) extreme hot hours (>95°F) will increase from 30 to 200 per year, adding 420 Cooling Degree Days (CCD) by the 2030s, (ii) greener areas can be up to 10°F cooler than less vegetated neighborhoods in summer, (iii) tree canopies can create localized cooling, reducing temperatures by 0.7°F and lowering annual CCD by 60 to 65, and (iv) afforestation can reduce the region’s temperature by 0.7°F, saving 400 to 1100 Megawatt hours of daily power usage during summer. <b>Note: The data is available upon request from <a href="mailto:dpiclimate@uilliois.edu">dpiclimate@uilliois.edu</br>.
keywords: urban heat; cooling degree days; afforestation; tree canopy; Chicago region
published: 2024-07-11
 
This dataset includes the gas exchange and TDL (tunable diode laser) files between 4 accessions of Glycine soja and 1 elite accession of Glycine max (soybean) during light induction. In this V2, code files for Matlab and R are also included to calculate mesophyll conductance and calculate the limitation on photosynthesis, respectively.
keywords: photosynthesis; mesophyll conductance; soybean; light induction
published: 2024-07-11
 
This repository contains the data and computational analysis notebooks that were used in the following manuscript. For more information on the methods and contributing authors, please refer to the original manuscript. "Beyond A and B Compartments: how major nuclear locales define nuclear genome organization and function Omid Gholamalamdari et al. 2024"
keywords: genomic analysis; R markdown; genomic segmentations
published: 2024-07-09
 
The included files are the alignments of DNA or amino acid sequences used for phylogenetic analyses of Auchenorrhyncha (Insecta: Hemiptera) in the manuscript by Bin et al. submitted to the journal “Systematic Entomology.” The files are plain text in either FASTA (.fa or .fas suffix) or PHYLIP (.phy suffix) format. Matrix0 is the set of all loci after multiple sequence alignment and trimming (hereafter called). Matrix1 consists of loci having 75% average bootstrap support and 80% taxon completeness (hereafter called Matrix1). Matrix2 consists of loci having 75% average bootstrap support and 95% completeness. Matrix2_nt12 is the same as Matrix2 but with third codon positions excluded. More details on how the datasets were compiled is provided in the Methods section of the manuscript file, also included as a PDF. Supplemental figures for the submitted manuscript are also provided as a PDF for additional information.
keywords: Insecta; Phylogeny; DNA sequence; Evolution