Illinois Data Bank
Log in with NetID
University Library, University of Illinois at Urbana-Champaign
Illinois Data Bank
Log in with NetID
25 per page
50 per page
Displaying datasets 101 - 125 of 310 in total
Generate Report from Search Results
Life Sciences (310)
Social Sciences (0)
Physical Sciences (0)
Technology and Engineering (0)
Arts and Humanities (0)
U.S. National Science Foundation (NSF) (87)
U.S. Department of Energy (DOE) (37)
U.S. Department of Agriculture (USDA) (30)
U.S. National Institutes of Health (NIH) (22)
Illinois Department of Natural Resources (IDNR) (12)
U.S. Geological Survey (USGS) (4)
Illinois Department of Transportation (IDOT) (2)
U.S. National Aeronautics and Space Administration (NASA) (2)
U.S. Army (2)
CC BY (102)
Li, Shuai; Moller, Christopher A.; Mitchell, Noah G.; Lee, DoKyoung; Sacks, Erik J.; Ainsworth, Elizabeth A. (2022): Testing unified theories for ozone response in C4 species. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-9373041_V1
Twenty-two genotypes of C4 species grown under ambient and elevated O3 concentration were studied at the SoyFACE (40°02’N, 88°14’W) in 2019. This dataset contains leaf morphology, photosynthesis and nutrient contents measured at three time points. The results of CO2 response curves are also included.
C4, O3, photosynthesis
Cao, Yanghui; Dietrich, Christopher H. (2022): Datasets for "Phylogenomics of flavobacterial insect nutritional endosymbionts with implications for the phylogeny of their hosts". University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-7486289_V1
The file “Fla.fasta”, comprising 10526 positions, is the concatenated amino acid alignments of 51 orthologues of 182 bacterial strains. It was used for the maximum likelihood and maximum parsimony analyses of Flavobacteriales. Bacterial species names and strains were used as the sequence names, host names of insect endosymbionts were shown in brackets. The file “16S.fasta” is the alignment of 233 bacterial 16S rRNA sequences. It contains 1455 positions and was used for the maximum likelihood analysis of flavobacterial insect endosymbionts. The names of endosymbiont strains were replaced by the name of their hosts. In addition to the species names, National Center for Biotechnology Information (NCBI) accession numbers were also indicated in the sequence names (e.g., sequence “Cicadellidae_Deltocephalinae_Macrostelini_Macrosteles_striifrons_AB795320” is the 16S rRNA of Macrosteles striifrons (Cicadellidae: Deltocephalinae: Macrostelini) with a NCBI accession number AB795320). The file “Sulcia_pep.fasta” is the concatenated amino acid alignments of 131 orthologues of “Candidatus Sulcia muelleri” (Sulcia). It contains 41970 positions and presents 101 Sulcia strains and 3 Blattabacterium strains. This file was used for the maximum likelihood analysis of Sulcia. The file “Sulcia_nucleotide.fasta” is the concatenated nucleotide alignment corresponding to the sequences in “Sulcia_pep.fasta” but also comprises the alignment of 16S rRNA. It has 127339 positions and was used for the maximum likelihood and maximum parsimony analyses of Sulcia. Individual gene alignments (16S rRNA and 131 orthologues of Sulcia and Blattabacterium) are deposited in the compressed file “individual_gene_alignments.zip”, which were used to construct gene trees for multispecies coalescent analysis. The names of Sulcia strains were replaced by the name of their hosts in “Sulcia_pep.fasta”, “Sulcia_nucleotide.fasta” and the files in “individual_gene_alignments.zip”. In all the alignment files, gaps are indicated by “-”.
endosymbiont, “Candidatus Sulcia muelleri”, Auchenorrhyncha, coevolution
Lyons, Lee Ann; Mateus-Pinilla, Nohra; Smith, Rebecca (2021): Effects of tick surveillance education on knowledge, attitudes, and practices of local health department employees. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6268941_V1
We developed and delivered in-person training at local health department offices in six of the seven Illinois Department of Public Health “health regions” between April-May of 2019. Pre-, post-, and six-month follow-up questionnaires on knowledge, attitudes, and practices with regards to tick surveillance were administered to training participants.
ticks; survey; tick-borne disease; public health
Xia, Yushu; Wander, Michelle (2021): Correlation Between Soil Quality Indictors including β-glucosidase, Fluorescein Diacetate Hydrolysis and Permanganate Oxidizable Carbon, and Ecosystem Functions represented by Crop Productivity and Greenhouse Gas Emissions. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4693684_V3
*Updates for this V3: added a few more records and rearranged the sequence of the tables in order to support our new paper "Evaluation of Indirect and Direct Scoring Methods to Relate Biochemical Soil Quality Indicators to Ecosystem Services" accepted by the Soil Science Society of America Journal. We summarize peer reviewed literature reporting associations between for three soil quality indicators (SQIs) (β-glucosidase (BG), fluorescein diacetate (FDA) hydrolysis, and permanganate oxidizable carbon (POXC)) and crop yield and greenhouse gas emissions. Peer-reviewed articles published between January of 1990 and May 2018 were searched using the Thomas Reuters Web of Science database (Thomas Reuters, Philadelphia, Pennsylvania) and Google Scholar to identify studies reporting results for: “β-glucosidase”, “permanganate oxidizable carbon”, “active carbon”, “readily oxidizable carbon”, or “fluorescein diacetate hydrolysis”, together with one or more of the following: “crop yield”, “productivity”, “greenhouse gas’, “CO2”, “CH4”, or “N2O”. Meta-data for records include the following descriptor variables and covariates useful for scoring function development: 1) identifying factors for the study site (location, duration of the experiment), 2) soil textural class, pH, and SOC, 3) depth of soil sampling, 4) units used in published works (i.e.: equivalent mass, concentration), 5) SQI abundances and measured ecosystem functions, and 6) summary statistics for correlation between SQIs and functions (yield and greenhouse gas emissions). *Note: Blank values in tables are considered unreported data.
Soil health promoting practices; Soil quality indicators; β-glucosidase; fluorescein diacetate hydrolysis; Permanganate oxidizable carbon; Greenhouse gas emissions; Scoring curves; Soil Management Assessment Framework
Burnham, Mark; Simon, Sandra; Lee, DK; Kent, Angela; DeLucia, Evan; Yang, Wendy (2021): Data for Intra- and inter-annual variability of nitrification in the rhizosphere of field-grown bioenergy sorghum. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-3696813_V1
These data were collected in 2018 and 2019 at the University of Illinois Energy Farm (N 40.063607, W 88.206926). During each growing season, bulk and rhizosphere soil were collected from replicate Sorghum bicolor nitrogen use efficiency trial plots at three separate time points (approximately July 1, August 1, and September 1). We measured soil moisture, pH, soil nitrate and ammonium, potential nitrification, potential denitrification, and extracted and sequenced the V4 region of the 16S rRNA gene for microbial community analysis. All microbial sequence data is archived in the National Center for Biotechnology Information’s (NCBI) Sequence Read Archive (accession number SRP326979, project number PRJNA741261).
soil nitrogen; nitrification; nitrogen cycle; sorghum; bioenergy; Center for Advanced Bioenergy and Bioproducts Innovation
Crist, Samantha; Kopsco, Heather; Miller, Alexandria; Gronemeyer, Margaret; Mateus-Pinilla, Nohra; Smith, Rebecca (2021): Knowledge, attitudes, and practices of veterinary professionals towards ticks and tick-borne diseases in Illinois. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-9227641_V1
An online knowledge, attitudes, and practices survey on ticks and tick-borne diseases was distributed to veterinary professionals in Southern and Central Illinois during summer and fall 2020. These are the raw data associated with that survey and the survey questions used. * NOTE: "age" and "gender" variables were removed from the data to protect participants.
ticks; veterinary medicine; tick-borne disease; survey
Edmonds, Devin (2021): Data for Poison Frogs in U.S. Collections. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4717502_V1
The dataset shows all poison frogs (superfamily Dendrobatoidea) in private U.S. collections during 1990–2020. For each species and color morph, there is a date of arrival, the way it arrived in U.S. collections, and detailed notes related to its presence in the pet trade.
pet trade; amphibians; Dendrobatidae
Prada, Cecilia M.; Turner, Benjamin L.; Dalling, James W. (2021): Seedling traits in oak and mix stands. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-7636863_V1
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.
Mycorrhiza; nitrogen; oak forest; Panama; plant-soil feedbacks, seedling growth
de Jesús Astacio, Luis Miguel ; Prabhakara, Kaumudi Hassan; Li, Zeqian; Mickalide, Harry; Kuehn , Seppe (2021): Closed microbial communities self-organize to persistently cycle carbon -- 16S Sequencing data. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-8967648_V1
Shared dataset consists of 16S sequencing data of microbial communities. Each community is composed of heterotrophic bacteria derived from one of two soil samples and the model algae Chlamydomonas reinhardtii. Each comunity was placed in a materially closed environment with an initial supply of carbon in the media and subjected to light-dark cycles. The closed microbial ecosystems (CES) survived via carbon cycling. Each CES was subjected to rounds of dilution, after which the community was sequenced (data provided here). The shared dataset allowed us to conclude that CES consistently self-assembled to cycle carbon (data not provided) via conserved metabolic capabilites (data not provided) dispite differences in taxonomic composition (data provided). --------------------------- Naming convention: [soil sample = A or B][CES replicate = 1,2,3, or 4]_[round number = 1,2,3,or 4]_[reverse read = R or forward read = F]_filt.fastq Example -- A1_r1_F_filt.fastq means soil sample A, CES replicate 1, end of round1, forward read
16S seq; .fastq; closed microbial ecosystems; carbon cycling
Liu, Baqiao; Warnow, Tandy (2021): Data from Scalable Species Tree Inference with External Constraints. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-2566000_V1
This dataset contains re-estimated gene trees from the ASTRAL-II  simulated datasets. The re-estimated variants of the datasets are called MC6H and MC11H -- they are derived from the MC6 and MC11 conditions from the original data (the MC6 and MC11 names are given by ASTRID ). The uploaded files contain the sequence alignments (half-length their original alignments), and the re-estimated species trees using FastTree2. Note: - "mc6h.tar.gz" and "mc11h.tar.gz" contain the sequence alignments and the re-estimated gene trees for the two conditions - the sequence alignments are in the format "all-genes.phylip.splitted.[i].half" where i means that this alignment is for the i-th alignment of the original dataset, but truncating the alignment halving its length - "g1000.trees" under each replicate contains the newline-separated re-estimated gene trees. The gene trees were estimated from the above described alignments using FastTree2 (version 2.1.11) command "FastTree -nt -gtr" : Mirarab, S., & Warnow, T. (2015). ASTRAL-II: coalescent-based species tree estimation with many hundreds of taxa and thousands of genes. Bioinformatics, 31(12), i44-i52. : Vachaspati, P., & Warnow, T. (2015). ASTRID: accurate species trees from internode distances. BMC genomics, 16(10), 1-13.
simulated data; ASTRAL; alignments; gene trees
Carney, Sean; Ma, Wen; Chemla , Yann (2021): Source data for Kinetic and structural mechanism for DNA unwinding by a non-hexameric helicase. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-5556865_V1
This dataset includes the source data for Figures 1-4 and supplementary figures 1-10 for the manuscript "Kinetic and structural mechanism for DNA unwinding by a non-hexameric helicase".
Suski, Cory; Curtis-Quick, Jocelyn (2021): Why the Stall? Using Metabolomics to Define the Lack of Upstream Movement of Invasive Bigheaded Carp in the Illinois River. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-5190701_V2
Bigheaded carp were collected from the Illinois and Des Plaines Rivers, parts of the Illinois Waterway, from May to November 2018. A total of 93 fish were collected during sampling for a study comprised of 40 females, 41 males, and 12 unsexed fish. GC/MS metabolite profiling analysis detected 180 compounds. Livers from carp at the leading edge had differences in energy use and metabolism, and suppression of protective mechanisms relative to downstream fish; differences were consistent across time. This body of work provides evidence that water quality is linked to carp movement in the Illinois River. As water quality in this region continues to improve, consideration of this impact on carp spread is essential to protect the Great Lakes.
water quality; metabolites; range expansion; energy; contaminants
Tillman, Francis E.; Bakken, George S.; O'Keefe, Joy M. (2021): Data for Design modifications affect bat box temperatures and suitability as maternity habitat. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-7904190_V1
This dataset contains daily and hourly temperature measurements in twenty different bat box designs deployed in central Indiana, USA from May to September 2018. Daily and hourly environmental data (temperature, solar radiation, wind speed and direction) are also included for days and hours sampled. Bat box temperature data were reclassified to cool (</= 30°C), permissive (30.1–39.9°C), and stressful (>/= 40°C) categories according to known temperature tolerances of temperate-zone bats.
bat box; design; environmental variables; microclimate; temperature
has sharing link
Perez, Sierra; Dalling, James; Fraterrigo, Jennifer (2021): Trelease and Brownfields Woods tree decay dataset. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4547091_V1
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. ** <b>Note:</b> Blank cells indicate that no data were collected.
wood decay; carbon residence time; coarse woody debris; decomposition, temperate forests
Jianhao, Peng; Idoia, Ochoa (2021): Synthetic datasets for SimiC . University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4996748_V1
This is the 5 states 5000 cells synthetic expression file we used for validation of SimiC, a single cell gene regulatory network inference method with similarity constraints. Ground truth GRNs are stored in Numpy array format, and expression profiles of all states combined are stored in Pandas DataFrame in format of Pickle files.
Numpy array; GRNs; Pandas DataFrame;
Detmer, Thomas (2021): Temperature, dissolved oxygen, and Secchi depth of Illinois Reservoirs. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-1187851_V1
This data set describes temperature, dissolved oxygen, and secchi depth in 1-m interval profiles in the deepest point in 10 Illinois reservoirs between the years 1995 and 2016.
Water temperature; dissolved oxygen; secchi depth; climate change
Stern, Jessica; Herman, Brook D. ; Matthews, Jeffrey (2021): Data from determining vegetation metric robustness to environmental and methodological variables . University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-0938556_V1
We studied vegetation metric robustness to environmental (season, interannual, and regional) and methodological (observer) variables, as well as adequate sample size for vegetation metrics across four regions of the United States.
coefficients of conservatism; floristic quality assessment; restoration; vegetation metric;
Clark, Lindsay V.; Mays, Wittney; Lipka, Alexander E.; Sacks, Erik J. (2021): Dataset for evaluating the Hind/He statistic in polyRAD. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4814898_V1
All of the files in this dataset pertain to the evaluation of a novel statistic, Hind/He, for distinguishing Mendelian loci from paralogs. They are derived from a RAD-seq genotyping dataset of diploid and tetraploid Miscanthus sacchariflorus.
Zaharias, Paul; Grosshauser, Martin; Warnow, Tandy (2021): Data from "Re-evaluating Deep Neural Networks for Phylogeny Estimation: The issue of taxon sampling". University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-8921156_V1
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.
deep neural networks; heterotachy; GHOST; quartet estimation; phylogeny estimation
von Haden, Adam C.; DeLucia, Evan H.; Yang, Wendy; Burnham, Mark (2021): Maize and Sorghum Establishment and Yield following Pre-Emergence Waterlogging. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-8293871_V1
In 2020, early-season extreme precipitation events occurred following the planting of Sorghum bicolor (L.) Moench and Zea mays L. in central Illinois that caused ponding. Following the first rainfall event 50m transects were established to assess the waterlogging effects on seedling emergence and crop yields. Soil moisture, emergence, stem and tiller count, LAI, and yield were measured at various points in the season along these transects.
Sorghum; Maize; Emergence; Yield; LAI
Long, Stephen Patrick; Acevedo-Siaca, Liana Gabriella (2021): Data for publication "Evaluating natural variation, heritability, and genetic advance of photosynthetic traits in rice (Oryza sativa)". University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-3427028_V1
1. Rice H2 - Destructive Harvest - These data are for the destructive harvest (above-ground biomass) of 30 diverse indica rice genotypes that were grown to evaluate natural variation as well as the heritability of photosynthesis-related traits. Traits measured include: plant height, leaf area, plant fresh and dry weights, and tiller number. 2. Rice H2 - ACi Response Summary - These data characterize the response of CO2 uptake to change in intercellular CO2 concentration in 30 diverse indica rice genotypes. These measurements were taken to evaluate natural variation and the heritability of photosynthesis-related traits in rice. 3. Rice H2 - Survey Style Gas Exchange Measurements - These data document steady-state survey style gas exchange measurements in 30 diverse indica rice genotypes. These measurements were taken to evaluate natural variation and the heritability of photosynthesis-related traits in rice.
photosynthesis, photosynthetic capacity, natural variation, heritability, food security, rice
Ferguson, John; Fernandes, Samuel; Monier, Brandon; Miller, Nathan; Allen, Dylan; Dmitrieva, Anna; Schmuker, Peter; Lozano, Roberto; Valluru, Ravi; Buckler, Edward; Gore, Michael; Brown, Patrick; Spalding, Edgar; Leakey, Andrew (2021): Machine learning enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-5565022_V2
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. *<b>Note:</b> new in this second version is that JPG images outputted from the nms files were added <b>Accessions_2016.zip</b> and <b>Accessions_2017.zip</b>: 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). <b>Accessions_2016_jpg.zip</b> and <b>Accessions_2017_jpg.zip</b>: contain jpg images outputted from the nms files and used in the machine learning phenotyping.
stomata; segmentation; water use efficiency
Miller, Jim; Czesny, Sergiusz; Dai, Qihong; Ellis, James; Iverson, Louis; Matthews, Jeff; Roswell, Charlie; Suski, Cory; Taft, John; Ward, Mike (2021): An Assessment of the Impacts of Climate Change in Illinois, Chapter 6: Climate Change Impacts on Ecosystems, Supplement 6.1: Scientific and Common Species Names. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-9049988_V1
Please cite as: Jim Miller, Sergiusz Czesny, Qihong Dai, James Ellis, Louis Iverson, Jeff Matthews, Charles Roswell, Cory Suski, John Taft, and Mike Ward. 2021. “Climate Change Impacts on Ecosystems: Scientific and Common Species Names”.
Scientific names; Common names; Illinois species
Zuckermann, Federico (2021): 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. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-0439780_V1
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).
Shen, Chengze; Zaharias, Paul; Warnow, Tandy (2021): MAGUS+eHMMs: Improved Multiple Sequence Alignment Accuracy for Fragmentary Sequences. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-2419626_V1
This dataset contains 1) the cleaned version of 11 CRW datasets, 2) RNASim10k dataset in high fragmentation and 3) three CRW datasets (16S.3, 16S.T, 16S.B.ALL) in high fragmentation.
MAGUS;UPP;Multiple Sequence Alignment;PASTA;eHMMs