Displaying 51 - 75 of 330 in total

Subject Area

Life Sciences (330)

Funder

Other (117)
U.S. National Science Foundation (NSF) (89)
U.S. Department of Energy (DOE) (37)
U.S. Department of Agriculture (USDA) (37)
U.S. National Institutes of Health (NIH) (24)
Illinois Department of Natural Resources (IDNR) (16)
U.S. Geological Survey (USGS) (4)
Illinois Department of Transportation (IDOT) (3)
U.S. National Aeronautics and Space Administration (NASA) (2)
U.S. Army (2)

Publication Year

2021 (66)
2020 (60)
2022 (56)
2019 (42)
2023 (40)
2018 (24)
2017 (19)
2016 (12)
2024 (11)

License

CC0 (207)
CC BY (110)
custom (13)

Datasets

published: 2023-07-01
 
This is the data used in the paper "Assessment of spatiotemporal flood risk due to compound precipitation extremes across the contiguous United States". Code from the Github repository https://github.com/adtonks/precip_extremes can be used with the data here to reproduce the paper's results. v1.0.0 of the code is also archived at https://doi.org/10.5281/zenodo.8104252 This dataset is derived from NOAA-CIRES-DOE 20th Century Reanalysis V3. The NOAA-CIRES-DOE Twentieth Century Reanalysis Project version 3 used resources of the National Energy Research Scientific Computing Center managed by Lawrence Berkeley National Laboratory which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231 and used resources of NOAA's Remotely Deployed High Performance Computing Systems.
keywords: spatiotemporal; CONUS; United States; precipitation; extremes; flooding
published: 2023-07-28
 
The dataset is for a study conducted to understand genome-wide association (GWA) and genomic prediction of biomass yield and 14 yield-components traits in Miscanthus sacchariflorus. We evaluated a diversity panel with 590 accessions of M. sacchariflorus grown across four years in one subtropical and three temperate locations and genotyped with 268,109 single nucleotide polymorphisms (SNPs).
keywords: Miscanthus sacchariflorus; genome-wide association analysis; genomic prediction; bioenergy; biomass
published: 2023-07-26
 
This data set contains data used for “Improved Net Carbon Budgets in the US Midwest through Direct Measured Impacts of Enhanced Weathering.” Data include biomass, soil bulk densities, soil respiration measurements, soil lanthanide element analysis, plant tissue analysis for major cations, and eddy covariance fluxes.
keywords: agriculture; bioenergy crop; carbon budget; eddy covariance; net ecosystem carbon balance; net primary production; soil respiration; enhanced weathering; carbon dioxide removal; Illinois
published: 2023-07-14
 
This dataset includes a total of 300 images of 45 extant species of Podocarpus (Podocarpaceae) and nine images of fossil specimens of the morphogenus Podocarpidites. The goal of this dataset is to capture the diversity of morphology within the genus and create an image database for training machine learning models. The images were taken using Airyscan confocal superresolution microscopy at 630x magnification (63x/NA 1.4 oil DIC). The images are in the CZI file format. They can be opened using Zeiss propriety software (Zen, Zen lite) or open microscopy software, such as ImageJ. More information on how to open CZI files can be found here: [https://www.zeiss.com/microscopy/us/products/microscope-software/zen/czi.html#microscope---image-data]
keywords: superresolution microscopy; Zeiss Airyscan; CZI images; conifer; saccate pollen
published: 2023-05-30
 
Primary occurrence data for Clem, Hart, & McElrath. 2023. A century of Illinois hover flies (Diptera: Syrphidae): Museum and citizen science data reveal recent range expansions, contractions, and species of potential conservation significance. Included are a license.txt file, the cleaned occurrences from each of the six merged datasets, and a cleaned, merged dataset containing all occurrence records in one spreadsheet, formatted according to Darwin Core standards, with a few extra fields such as GBIF identifiers that were included in some of the original downloads.
keywords: csv; occurrences; syrphidae; hover flies; flies; biodiversity; darwin core; darwin-core; GBIF; citizen science; iNaturalist
published: 2023-02-10
 
Data and documentation for Ornithological Applications manuscript “Integrating multiple data sources improves prediction and inference for upland game bird occupancy models” by Robert L. Emmet, Thomas J. Benson, Maximilian L. Allen, and Kirk W. Stodola We combined data from the North American Breeding Bird Survey and eBird with a targeted survey (IDNR upland game) to estimate habitat use of northern bobwhite and ring-necked pheasant in Illinois and to document the efficiency and overlap among the various data sources. Data include, eBird, USGS Breeding Bird Survey, National Land Cover Database, Upland game bird surveys, stream data)
keywords: data integration; occupancy; avian population modelling; northern bobwhite;Colinus virginianus; ring-necked pheasant; Phasianus colchicus
published: 2023-07-10
 
Bee movement between habitat patches in a naturally fragmented ecosystem depended on species, patch, and matrix variables. Using a mark-recapture methodology in the naturally fragmented Ozark glade ecosystem, we assessed the importance of bee size, nesting biology, the distance between patches (e.g., isolation), and nesting and floral resources in habitat patches and the surrounding matrix on bee movement. This dataset includes seven data files, three R code files, and a QGIS tool. Three of the data files include information collected at the study sites with regard to bees and matrix and patch characteristics. The other four data files are spatial files used to quantify the characteristics of the forest canopy between the study sites and the edge-to-edge distances between the study sites. R code in the R Markdown file recreates the analysis and data presentation for the associated publication. R script files contain processes for calculating some of the explanatory variables used in the analysis. The QGIS tool can be used as the first step to obtaining average values from a raster file where the cells are large relative to the areas of interest (AOI) that you would like to characterize. The second step is contained in one of the aforementioned R scripts. Detected effects included: Larger bees were more likely to move between patches. Bee movement was less likely as the distance between patches increased. However, relatively short distances (~50 m) inhibited movement more than our a priori expectations. Bees were unlikely to move away from home patches with abundant and diverse floral and below-ground nesting resources. When home patches were less resource-rich, bee movement depended on the characteristics of the away patch or the matrix. In these cases, bees were more likely to move to away patches with greater below-ground nesting and floral resources. Matrix habitats with more available floral and below-ground nesting resources appear to impede movement to neighboring patches, potentially because they already provide supplemental resources for bees.
keywords: habitat fragmentation; bees; movement; mark-recapture; nesting resources; floral resources; isolation
published: 2023-07-05
 
This dataset contains all data used in the paper "Impact of genotype-calling methodologies on genome-wide association and genomic prediction in polyploids". The dataset includes genotypes and phenotypic data from two autotetraploid species Miscanthus sacchariflorus and Vaccinium corymbosum that was used used for genome wide association studies and genomic prediction and the scripts used in the analysis. In this V2, 2 files have the raw data are added: "Miscanthus_sacchariflorus_RADSeq.vcf" is the VCF file with the raw SNP calls of the Miscanthus sacchariflorus data used for genotype calling using the 6 genotype calling methods. "Blueberry_data_read_depths.RData" is the a RData file with the read depth data that was used for genotype calling in the Blueberry dataset.
keywords: Polyploid; allelic dosage; Bayesian genotype-calling; Genome-wide association; Genomic prediction
published: 2022-12-21
 
This dataset is associated with a larger manuscript published in 2022 in the Illinois Natural History Survey Bulletin that summarized the Fishes of Champaign County project from 2012-2015. With data spanning over 120 years, the Fishes of Champaign County is a comprehensive, long-term investigation into the changing fish communities of east-central Illinois. Surveys first occurred in Champaign County in the late 1880s (40 sites), with subsequent surveys in 1928–1929 (125 sites), 1959–1960 (143 sites), and 1987–1988 (141 sites). Between 2012 and 2015, we resampled 122 sites across Champaign County. The combined data from these five surveys have produced a unique perspective into not only the fish communities of the region, but also insight into in-stream habitat changes during the past 120 years. The dataset is in Microsoft Access format, with five data tables, one for each time period surveyed. Field names are self-explanatory, with some variation in data types collected during different surveys as follows: Forbes & Richardson (1880s) collected presence/absence only. Thompson & Hunt (1928-1929) collected abundance only, Larimore & Smith (1959-1960) collected length and weight for some samples, but only presence/absence at others. In some cases, fish of the same species were weighed in bulk, with the fields “LOW” and “HIGH” indicating the lower and upper limits of total length in the batch, and weight indicating the gross weight of all fish in the batch. Larimore and Bayley (1987-1988) collected length and weight for all surveys, and Sherwood and Stein (2012-2015) collected length and weight for all surveys except for cases where extremely abundant single species where subsampled. Lengths are reported in millimeters, and weight in grams. Two lookup tables provide information about species codes used in the data tables and sample site location and notes.
keywords: fishes of Champaign County; streams; anthropogenic disturbances; long-term dataset
published: 2023-06-01
 
Results of RT-LAMP reactions for influenza A virus diagnostic development.
keywords: swine influenza; LAMP; gBlock
published: 2023-03-08
 
A stochastic domination analysis model was developed to examine the effect that emerging carbon markets can have on the spatially varying returns and risk profiles of bioenergy crops relative to conventional crops. The code is written in MATLAB, and includes the calculated output. See the README file for instructions to run the code.
keywords: bioenergy crops; economic modeling; stochastic domination analysis model;
published: 2023-05-02
 
This dataset includes structural MRI head scans of 32 piglets, at 28 days of age, scanned at the University of Illinois. The dataset also includes manually drawn brain masks of each of the piglets. The dataset also includes brain masks that were generated automatically using Region-Based Convolutional Neural Networks (Mask R-CNN), trained on the manually drawn brain masks.
keywords: Brain extraction; Machine learning; MRI; Piglet; neural networks
published: 2023-05-08
 
This dataset includes microclimate species distribution models at a ~3 m2 spatial resolution and free-air temperature species distribution models at ~0.85 km2 spatial resolution for three plethodontid salamander species (Demognathus wrighti, Desmognathus ocoee, and Plethodon jordani) across Great Smoky Mountains National Park. We also include heatmaps representing the differences between microclimate and free-air species distribution models and polygon layers representing the fragmented habitat for each species' predicted range. All datasets include predictions for 2010, 2030, and 2050.
keywords: Ecological niche modeling, microclimate, species distribution model, spatial resolution, range loss, suitable habitat, plethodontid salamanders, montane ecosystems
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: 2023-04-05
 
Data associated with the manuscript "Eastern banded killifish (Fundulus diaphanus diaphanus) in Lake Michigan and connected watersheds: the invasion of a non-native subspecies" by Jordan H. Hartman, Jeremy S. Tiemann, Joshua L. Sherwood, Philip W. Willink, Kurt T. Ash, Mark A. Davis, and Eric R. Larson. For this project, we sampled 109 locations in Lake Michigan and connected waters and found 821 total banded killifish. Using mitochondrial DNA analysis, we found 31 eastern and 25 western haplotypes which split our banded killifish into 422 eastern banded killifish and 398 western banded killifish. This dataset provides the sampling locations, banded killifish haplotypes, frequency of those haplotypes per location, accession numbers in GenBank, and the associated mitochondrial DNA sequences.
keywords: intraspecific invasion; Lake Michigan; mtDNA; native transplant
published: 2023-04-02
 
Use of cellulosic biofuels from non-feedstocks are modeled using the BEPAM (Biofuel and Environmental Policy Analysis Model) model to quantifying the uncertainties about induced land use change effects, net greenhouse gas saving potential, and economic costs. The code is in GAMS, general algebraic modeling language. NOTE: Column 3 is titled "BAU" in "merged_BAU.gdx", "merged_RFS.gdx", and "merged_CEM.gdx", but contains "RFS" data in "merged_RFS.gdx" and "CEM" data in "merged_CEM.gdx".
keywords: cellulosic biomass; BEPAM; economic modeling
published: 2023-03-15
 
This data set is related to the SoyFACE experiments, which are open-air agricultural climate change experiments that have been conducted since 2001. The fumigation experiments take place at the SoyFACE farm and facility in Champaign County, Illinois during the growing season of each year, typically between June and October. - The <i>"SoyFACE Plot Information 2001 to 2021"</i> file contains information about each year of the SoyFACE experiments, including the fumigation treatment type (CO2, O3, or a combination treatment), the crop species, the plots (also referred to as 'rings' and labeled with numbers between 2 and 31) used in each experiment, important experiment dates, and the target concentration levels or 'setpoints' for CO2 and O3 in each experiment. - This data set includes files with minute readings of the fumigation levels (<i>"SoyFACE 1-Minute Fumigation Data Files"</i> folder) from the SoyFACE experiments. The <i>"Soyface 1-Minute Fumigation Data Files"</i> folder contains sub-folders for each year of the experiments, each of which contains sub-folders for each ring used in that year's experiments. This data set also includes hourly data files for the fumigation experiments (<i>"SoyFACE Hourly Fumigation Data Files"</i> folder) created from the 1-minute files, and hourly ambient/weather data files for each year of the experiments (<i>"Hourly Weather and Ambient Data Files"</i> folder). The ambient CO2 and O3 data are collected at SoyFACE, and the weather data are collected from the SURFRAD and WARM weather stations located near the SoyFACE farm. - The <i>"Fumigation Target Percentages"</i> file shows how much of the time the CO2 and O3 fumigation levels are within a 10 or 20 percent margin of the target levels when the fumigation system is turned on. - The <i>"Matlab Files"</i> folder contains custom code (Aspray, E.K.) that was used to clean the <i>"SoyFACE 1-Minute Fumigation Data"</i> files and to generate the <i>"SoyFACE Hourly Fumigation Data"</i> and <i>"Fumigation Target Percentages"</i> files. Code information can be found in the <i>"SoyFACE Hourly Fumigation Data Explanation"</i> file. - Finally, the <i>" * Explanation"</i> files contain information about the column names, units of measurement, and other pertinent information for each data file. *<b>NOTE:</b> We have identified some files in the “SoyFACE 1-Minute Fumigation Data Files” folder in our SoyFACE data set submission that were not downloaded properly - the files were present in the folder, but the actual files were empty. V3 ensures that there are no longer any empty files in the data set.
keywords: SoyFACE; agriculture; agricultural; climate; climate change; atmosphere; atmospheric change; CO2; carbon dioxide; O3; ozone; soybean; fumigation; treatment
published: 2023-03-04
 
These data represent the raw data from the paper “Evaluating the ability of wetland mitigation banks to replace plant species lost from destroyed wetlands” published in Journal of Applied Ecology in 2023 by Stephen C. Tillman and Jeffrey W. Matthews.
published: 2023-03-06
 
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: 2023-02-07
 
This dataset includes supporting data for our article 'Assessing long-term impacts of cover crops on soil organic carbon in the central U.S. Midwestern agroecosystems'. The dataset contains carbon fluxes and SOC benefits from cover crops at six cover crop experiment sites in Illinois with three rotation systems: (1) without-cover-crop (maize-soybean rotations), (2) non-legume-preceding-maize (maize-annual ryegrass-soybean-annual ryegrass rotations), and (3) legume-preceding-maize (maize-cereal rye-soybean-hairy vetch rotations). <b>*NOTE:</b> there should be 13 files + 1 readme file, instead of 15 files as mentioned in readme.
keywords: Soil organic carbon; cover crops
published: 2020-12-07
 
This page contains the data for the publication "Regulation of growth and cell fate during tissue regeneration by the two SWI/SNF chromatin-remodeling complexes of Drosophila" published in Genetics, 2020
published: 2023-01-01
 
The following files were used to reconstruct the phylogeny of the leafhopper subfamily Typhlocybinae, using IQ-TREE v1.6.12 and ASTRAL v 4.10.5. <b>1) Taxon_sampling.csv:</b> contains the sample IDs (1st column) and the taxonomic information (2nd column). Sample IDs were used in the alignment files and partition files. <b>2) concatenated_nt_complete.phy:</b> a complete concatenated nucleotide dataset used for the maximum likelihood analysis by IQ-TREE v1.6.12. The file lists the sequences of 248 samples with 154,992 nucleotide positions (intron included) from 665 loci. Hyphens are used to represent gaps. <b>3) concatenated_nt_complete_partition.nex:</b> the partitioning schemes for concatenated_nt_complete.phy. The file partitions the 154,992 nucleotide characters into 426 character sets, and defines the best substitution model for each character set. <b>4) concatenated_cds_complete.phy:</b> a complete concatenated coding DNA sequence dataset used for the maximum likelihood analysis by IQ-TREE v1.6.12. The file lists the sequences of 248 samples with 153,525 nucleotide positions (intron excluded) from 665 loci. Hyphens are used to represent gaps. <b>5) concatenated_cds_complete_partition.nex:</b> the partitioning schemes for concatenated_cds_complete.phy. The file partitions the 153,525 nucleotide characters into 426 character sets, and defines the best substitution model for each character set. <b>6) concatenated_nt_reduced.phy:</b> a reduced concatenated nucleotide dataset used for the maximum likelihood analysis by IQ-TREE v1.6.12. The file lists the sequences of 248 samples with 95,076 nucleotide positions (intron included) from 374 loci. Hyphens are used to represent gaps. <b>7) concatenated_nt_reduced_partition.nex:</b> the partitioning schemes for concatenated_nt_reduced.phy. The file partitions the 95,076 nucleotide characters into 312 character sets, and defines the best substitution model for each character set. <b>8) concatenated_aa_complete.phy:</b> a complete concatenated amino acid dataset used for the maximum likelihood analysis by IQ-TREE v1.6.12, corresponding to concatenated_cds_complete.phy. The file lists the sequences of 248 samples with 51,175 amino acid positions from 665 loci. Hyphens are used to represent gaps. <b>9) concatenated_aa_complete_partition.nex:</b> the partitioning schemes for concatenated_aa_complete.phy. The file partitions the 51,175 amino acid characters into 426 character sets, and defines the best substitution model for each character set. <b>10) concatenated_aa_reduced.phy:</b> a reduced concatenated amino acid dataset used for the maximum likelihood analysis by IQ-TREE v1.6.12, corresponding to concatenated_nt_reduced.phy. The file lists the sequences of 248 samples with 31,384 amino acid positions from 374 loci. Hyphens are used to represent gaps. <b>11) concatenated_aa_reduced_partition.nex:</b> the partitioning schemes for concatenated_aa_reduced.phy. The file partitions the 31,384 amino acid characters into 312 character sets, and defines the best substitution model for each character set. <b>12) Individual_gene_alignment.zip:</b> contains 426 FASTA files, each one is an alignment for a gene. Hyphens are used to represent gaps. These files were used to construct gene trees using IQ-TREE v1.6.12, followed by multispecies coalescent analysis using ASTRAL v 4.10.5 based the consensus trees with a minimum average bootstrap value of 70.
keywords: Auchenorrhyncha, Cicadomorpha, Membracoidea, anchored hybrid enrichment