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Starbuck, Clarissa; DeSchepper, Logan; Hoggatt, Meredith; O'Keefe, Joy (2023): Data for Tradeoffs in sound quality and cost for passive acoustic devices. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4200947_V1
This dataset accompanies an article published in the journal Bioacoustics: "Tradeoffs in sound quality and cost for passive acoustic devices", https://doi.org/10.1080/09524622.2023.2290715. The dataset contains measurements for acoustic call files for free-flying bats simultaneously recorded on both Audiomoth and Anabat Swift passive acoustic recording devices in a conservation area in northeastern Missouri, USA. We paired calls from the two devices and compared indicators of recording quality measured in a proprietary program (Bat Call Identification Software). The dataset also contains a file enumerating the proportions of calls classified as low frequency, mid frequency, or Myotis (three phonic groups) for each type of recording device. The data were used to compare the quality and sensitivity of the two devices. The scripts for modeling procedures and figures are included in the dataset.
Bats; echolocation; passive acoustic monitoring; sensors
Digrado, Anthony; Montes, Christopher M.; Baxter, Ivan; Ainsworth, Elizabeth (2023): Soybean seed quality response to eCO2 data files. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6453957_V1
This data set is related to a SoyFACE experiment conducted in 2004, 2006, 2007, and 2008 with the soybean cultivars Loda and HS93-4118. The experiment looked at how seed elements were affected by elevated CO2 and yield. ---- The ionomic_data.txt file contains the ionomic data (mg/kg) for the two cultivars. The cultivars, years, treatment, and the plot from which the samples were collected are given for each entry. ---- The yield_data.txt contains the yield data for the two cultivars (seed yield in kg/ha, seed yield in bu/a, Protein (%), Oil (%)). The cultivars, years, treatment, and the plot from which the samples were collected are given for each entry. ---- The meteorological_data.txt contains the meteorological data recorded by a weather station located ~ 3km from the experimental site (Willard Airport Champaign). Data covering the period between May 28 and September 24 were used for 2004; between May 25 and September 24 were used in 2006; between May 23 and September 17 in 2007; and between June 16 and October 24 in 2008. The headers are explained below: year = year month = month day = day max_wind_gust = maximum daily wind gust (miles per hour) xwser = error flag for maximum daily wind gust avg_wind_speed = average daily wind speed(miles per hour) awser = error flag for average daily wind speed avg_wind_dir = average daily wind direction (degrees, clockwise from north) awder = error flag for average daily wind direction sol_rad = total daily solar radiation (mega-Joules per square meter) soler = error flag for total daily solar radiation max_air_temp = daily maximum air temperature (degrees Fahrenheit) xater = error flag for daily maximum air temperature min_air_temp = daily minimum air temperature (degrees Fahrenheit) nater = error flag for daily minimum air temperature avg_air_temp = average daily air temperature (degrees Fahrenheit) aater = error flag for average daily air temperature max_rel_hum = daily maximum relative humidity (percent) xrher = error flag for daily maximum relative humidity min_rel_hum = daily minimum relative humidity (percent) nrher = error flag for daily minimum relative humidity avg_rel_hum = average daily relative humidity (percent) arher = error flag for average daily relative humidity avg_dewpt_temp = average daily dew point temperature (degrees Fahrenheit) adper = error flag for average daily dew point temperature precip = total daily precipitation (inches) pcer = error flag for total daily precipitation pot_evapot = total potential evapotranspiration (inches) pevaper = error flag for total potential evapotranspiration max_soiltemp_4in = daily maximum 4-inch soil temperature under sod (degrees Fahrenheit) xst4er = error flag for daily maximum 4-inch soil temperature under sod min_soiltemp_4in = daily minimum 4-inch soil temperature under sod (degrees Fahrenheit) nst4er = error flag for daily minimum 4-inch soil temperature under sod avg_soiltemp_4in = average daily 4-inch soil temperature under sod (degrees Fahrenheit) ast4er = error flag for error flag for average daily 4-inch soil temperature under sod max_soiltemp_8in = daily maximum 8-inch soil temperature under sod (degrees Fahrenheit) xst8er = error flag for error flag for daily maximum 8-inch soil temperature under sod min_soiltemp_8in = daily minimum 8-inch soil temperature under sod (degrees Fahrenheit) nst8er = error flag for daily minimum 8-inch soil temperature under sod avg_soiltemp_8in = average daily 8-inch soil temperature under sod (degrees Fahrenheit) ast8er = error flag for error flag for average daily 8-inch soil temperature under sod max_soiltemp_4in_bare = daily maximum 4-inch soil temperature under bare soil (degrees Fahrenheit) xst4bareer = error flag for daily maximum 4-inch soil temperature under bare soil min_soiltemp_4in_bare = daily minimum 4-inch soil temperature under bare soil (degrees Fahrenheit) nst4bareer = error flag for daily minimum 4-inch soil temperature under bare soil avg_soiltemp_4in_bare = average daily 4-inch soil temperature under bare soil (degrees Fahrenheit) ast4bareer = error flag for error flag for average daily 4-inch soil temperature under bare soil max_soiltemp_2in_bare = daily maximum 2-inch soil temperature under bare soil (degrees Fahrenheit) xst2bareer = error flag for daily maximum 2-inch soil temperature under bare soil min_soiltemp_2in_bare = daily minimum 2-inch soil temperature under bare soil (degrees Fahrenheit) nst2bareer = error flag for daily minimum 2-inch soil temperature under bare soil avg_soiltemp_2in_bare = average daily 2-inch soil temperature under bare soil (degrees Fahrenheit) ast2bareer = error flag for error flag for average daily 2-inch soil temperature under bare soil site = station name
protein; oil; mineral; SoyFACE; nutrient; Glycine max; soybean; yield; CO2; agriculture; climate change
Louie, Allison Y.; Rund, Laurie A.; Komiyama-Kasai, Karin A.; Weisenberger, Kelsie E.; Stanke, Kayla L.; Larsen, Ryan J.; Leyshon, Brian J.; Kuchan, Matthew J.; Das, Tapas; Steelman, Andrew J. (2023): Data for "A hydrolyzed lipid blend diet promotes myelination in neonatal piglets in a region and concentration-dependent manner.". University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4218705_V1
This dataset contains MRI data and Imaris modeling analysis of CLARITY-cleared, immunostained tissue associated with a study that assessed the effects of lipid blends containing various levels of a hydrolyzed fat system on myelin development in healthy neonatal piglets. Data are from thirty-two piglets of mixed sexes across four diet treatment groups and includes a sow-fed reference group. MRI data (presented in Figure 2 of the associated article) consists of volumetric data from Voxel-Based Morphometry analysis in brain grey matter and white matter, as well as mean fractional anisotropy and mean orientation dispersion index data from Tract-Based Spatial Statistics analysis. Imaris data (presented in Figure 3 of the associated article) consists of twenty-one select output measures from 3D modeling analysis of PLP-stained prefrontal cortex tissue. All methods used for collection/generation/processing of data are described in the associated article: Louie AY, Rund LA, Komiyama-Kasai KA, Weisenberger KE, Stanke KL, Larsen RJ, Leyshon BJ, Kuchan MJ, Das T, Steelman AJ. A hydrolyzed lipid blend diet promotes myelination in neonatal piglets in a region and concentration-dependent manner. J Neurosci Res. 2023.
myelin; dietary lipid; white matter; CLARITY; Imaris; voxel-based morphometry; diffusion tensor imaging
Rasoarimanana, Tantely; Edmonds, Devin; Marquis, Olivier (2023): Data for Mantella baroni Habitat Preference and Abundance. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-2234820_V1
This dataset provides microhabitat and environmental variables collected in the habitat of the poison frog Mantella baroni from 155 1-meter square quadrats in Vohimana Reserve along forest valleys, on slopes, and on ridgelines. We also provide data from photographic capture-recapture surveys used for estimating abundance.
occupancy; abundance; amphibian; Madagascar; microhabitat; capture-recapture
Daniels, Melissa; Larson, Eric (2019): Data for Effects of forest windstorm disturbance on invasive plants in protected areas of southern Illinois, USA. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-1401121_V1
We studied the effect of windstorm disturbance on forest invasive plants in southern Illinois. This data includes raw data on plant abundance at survey points, compiled data used in statistical analyses, and spatial data for surveyed plots and units. This file package also includes a readme.doc file that describes the data in detail, including attribute descriptions.
tornado, blowdowns, derecho, invasive plants, Shawnee National Forest, southern Illinois
Chase, Marissa H. ; Charles, Brian; Harmon-Threatt, Alexandra; Fraterrigo, Jennifer (2023): Diverse forest management strategies support functionally and temporally distinct bee communities. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-8891496_V1
Dataset includes bee trait information and species abundance information for bees collected at 29 forests plots in southern Illinois, USA. Plots are located within three public land sites. Environmental data were also collected for each of the 29 plots.
wild bees; forest management; functional traits
has sharing link
Chakraborty, Sulagna; Steckler, Teresa; Gronemeyer, Peg; Mateus-Pinilla, Nohra; Smith, Rebecca (2023): Farmers’ knowledge, attitudes, and prevention practices regarding ticks and tickborne diseases in Illinois. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-3988796_V1
An online and paper knowledge, attitudes, and practices survey on ticks and tick-borne diseases (TBD) was distributed to farmers in Illinois during summer 2020 to spring 2022 (paper version titled Final Draft Farmer KAP_v.SoftCopy_Revised.docx). These are the raw data associated with that survey and the survey questions used (FarmerTickKAPdata.csv, data dictionary in Data Description.docx). We have added calculated values (columns 286 to end, code for calculation in FarmerKAPvariableCalculation.R), including: the tick knowledge score, TBD knowledge score, and total knowledge score, which are the sum of the total number of correct answers in each category, and score percent, which are the proportion of correct answers in each category.
ticks; survey; tick-borne disease; farmer
Li, Shuai; Leakey, Andrew D.B.; Moller, Christopher A.; Montes, Christopher M.; Sacks, Erik J.; DeKyoung, Lee; Ainsworth, Elizabeth A. (2023): Similar photosynthetic, but different yield responses of C3 and C4 crops to elevated O3. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-9446886_V1
This dataset contains leaf photosynthetic and biochemical traits, plant biomass, and yield in five C3 crops (chickpea, rice, snap bean, soybean, wheat) and four C4 crops (sorghum, maize, Miscanthus × giganteus, switchgrass) grown under ambient and elevated O3 concentration ([O3]) in the field at free-air O3 concentration enrichment (O3-FACE) facilities over the past 20 years.
C3 and C4 crops; elevated O3; FACE; photosynthesis; yield
Zinnen, Jack; Matthews, Jeffrey W.; Zaya, David N. (2023): Genetic, demographic, and spatial information for a study of Phlox pilosa ssp. sangamonensis, and congeners. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-5376622_V1
Data are provided that are relevant to the rare plant Phlox pilosa ssp. sangamonensis, or Sangamon phlox, and other members of the genus that occur in its native range. Sangamon phlox is a state-endangered subspecies that is only known to occur in two Illinois counties. Data provided come from all known Sangamon phlox populations, which we estimate as 10 separate populations. Data include genetic data from DNA microsatellite loci (allele sizes and basic summaries), flowering population size estimates, rates of fruit set, and rates of seed set. Additionally, genetic data (from microsatellites) are provided for Phlox divaricata ssp. laphamii (three populations), Phlox pilosa ssp. pilosa (two populations), and Phlox pilosa ssp. fulgida (two populations).
Phlox; conservation genetics; microsatellites; endemism; rare plants
Feng, Ling; Takiya, Daniela; Krishnankutty, Sindhu; Dietrich, Christopher; Zhang, Yalin (2023): NEXUS file for Phylogeny and Biogeography of the Sharpshooters (Hemiptera: Cicadellidae: Cicadellinae). University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-0855589_V1
The text file contains the original aligned DNA nucleotide sequence data used in the phylogenetic analyses of Feng et al. (in review), comprising the 3 protein-coding genes (histone H3, cytochrome oxidase I and 2) and 2 ribosomal genes (28S D8 and 16S). The text file is marked up according to the standard NEXUS format commonly used by various phylogenetic analysis software packages. The file will be parsed automatically by a variety of programs that recognize NEXUS as a standard bioinformatics file format. The first six lines of the file identify the file as NEXUS, indicate that the file contains data for 257 taxa (species) and 2995 characters (nucleotide positions), indicate that the characters are DNA sequence, that gaps inserted into the DNA sequence alignment are indicated by a dash, and that missing data are indicated by a question mark. The remainder of the file contains the aligned nucleotide sequence data for the five genes. Data partitions, representing the individual genes and different codon positions of the protein-coding genes, are indicated by the lines beginning "charset" near the end of the file. Two supplementary tables in the provided PDF file provide additional information on the species in the dataset, including the GenBank accession numbers for the sequence data (Table S1) and the DNA substitution models used for each of the data partitions used for analyses in the phylogenetic analysis program IQ-Tree (version 1.6.8) (Table S3), as described in the Methods section of the paper. The supplemental tables will also be linked to the article upon publication at the journal website.
Insect; leafhopper; dispersal; vicariance; evolution
Schneider, Amy; Suski, Cory; Esbaugh, Andrew (2023): Dataset for Silver carp experience metabolic and behavioral changes when exposed to water from the Chicago Area Waterway; implications for upstream movement. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-0037727_V1
Dalling, James William; Norden, Natalia (2023): La Planada Forest Dynamics Plot soils dataset. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6140727_V1
Complete soils dataset for the La Planada forest dynamics plot associated with publication: John et al. (2007) "Soil nutrients influence the spatial distributions of tropical tree species" PNAS 104:864-869 www.pnas.org/cgi/doi/10.1073/pnas.0604666104
tropical forest soil; montane forest; cation availability; spatial distribution of tree species
Tonks, Adam; Hwang, Jeongwoo (2023): Data for the paper "Assessment of spatiotemporal flood risk due to compound precipitation extremes across the contiguous United States". University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6626437_V1
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.
spatiotemporal; CONUS; United States; precipitation; extremes; flooding
planned publication date: 2024-01-01
Long, Kira (2024): Supplementary files for dissertation "Hybridization dynamics and population genomics of a Manacus hybrid zone". University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6588343_V1
Supplementary data tables for the dissertation "Hybridization dynamics and population genomics of a Manacus hybrid zone." This work focuses on the dynamics of hybridization over time in two species of tropical birds, the golden-collared manakin (Manacus vitellinus) and white-collared manakin (Manacus candei) comparing data from historical museum samples and contemporary wild-caught birds. Table A1 contains the sample metadata for the Manacus Restriction site-associated DNA sequencing dataset used in the dissertation with associated NCBI Biosample Accession numbers, Smithsonian Museum of Natural History number (where applicable), sample IDs, sampling site locations, and sample information of year the sample was taken, age, and sex. Table A6 contains phenotypic measurements of male plumage traits of manakins used in cline analyses to assess hybrid zone movement over time in historical and contemporary datasets, including beard length (mm), epaulet width (mm), tail length (mm), collar color (nm), and belly color (nm). Table A7 contains a summary of male plumage measurements across the hybrid zone. Table C1 contains a list of annotated protein coding genes in candidate regions of interest in Manacus genomes using outlier regions of genomic divergence, linkage disequilibrium, and enrichment of parental private alleles.
csv; manacus; manakin; genomics; dissertation
Njuguna, Joyce; Clark, Lindsay; Lipka , Alexander; Anzoua, Kossonou; Bagmet, Larisa; Chebukin, Pavel; Dwiyanti, Maria; Dzyubenko, Elena; Dzyubenko, Nicolay; Ghimire, Bimal; Jin, Xiaoli; Johnson, Douglas; Nagano, Hironori; Peng, Junhua; Petersen, Karen; Sabitov, Andrey; Seong, Eun; Yamada, Toshihiko; Yoo, Ji; Yu, Chang; Zhao, Hu; Long, Stephen; Sacks, Erik (2023): Data for Genome-wide association and genomic prediction for yield and component traits of Miscanthus sacchariflorus. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6439486_V1
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).
Miscanthus sacchariflorus; genome-wide association analysis; genomic prediction; bioenergy; biomass
Kantola, Ilsa B; Blanc-Betes, Elena; Masters, Michael; Chang, Elliot; Marklein, Alison; Moore, Caitlin; von Haden, Adam; Bernacchi, Carl; Wolf, Adam; Epihov, Dimitar; Beerling, David; DeLucia, Evan (2023): Data for Improved Net Carbon Budgets in the US Midwest through Direct Measured Impacts of Enhanced Weathering. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-1917166_V1
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.
agriculture; bioenergy crop; carbon budget; eddy covariance; net ecosystem carbon balance; net primary production; soil respiration; enhanced weathering; carbon dioxide removal; Illinois
has sharing link
Punyasena, Surangi W.; Urban, Michael A.; Adaime, Marc-Elie; Romero, Ingrid; Jaramillo, Carlos (2023): Pollen of Podocarpus (Podocarpaceae): Airyscan confocal superresolution images. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-8817604_V1
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]
superresolution microscopy; Zeiss Airyscan; CZI images; conifer; saccate pollen
Trapp, Robert (2023): tornado-PGW. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4479773_V1
Bieber, John (2023): Dataset for Food availability influences angling vulnerability in muskellunge. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-8452275_V1
Dataset for Food availability influences angling vulnerability in muskellunge
Clem, C. Scott; Hart, Lily V.; McElrath, Thomas C. (2023): 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". University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-1613645_V1
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.
csv; occurrences; syrphidae; hover flies; flies; biodiversity; darwin core; darwin-core; GBIF; citizen science; iNaturalist
Emmet, Robert L.; Benson, Thomas J.; Allen, Maximilian L.; Stodola, Kirk W. (2023): Integrating multiple data sources improves prediction and inference for upland game occupancy models. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-0477888_V1
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)
data integration; occupancy; avian population modelling; northern bobwhite;Colinus virginianus; ring-necked pheasant; Phasianus colchicus
Harmon-Threatt, Alexandra N.; Anderson, Nicholas L. (2023): Data for Bee movement between natural fragments is rare despite differences in species, patch, and matrix variables. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4393989_V1
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.
habitat fragmentation; bees; movement; mark-recapture; nesting resources; floral resources; isolation
Njuguna, Joyce; Clark, Lindsay; Lipka, Alexander; Anzoua, Kossonou; Bagmet, Larisa; Chebukin, Pavel; Dwiyanti, Maria; Dzyubenko, Elena; Dzyubenko, Nicolay; Ghimire, Bimal; Jin, Xiaoli; Johnson, Douglas; Kjeldsen, Jens; Nagano, Hironori; Oliveira, Ivone; Peng, Junhua; Petersen, Karen; Sabitov, Andrey; Seong, Eun; Yamada, Toshihiko; Yoo, Ji; Yu, Chang; Zhao, Hu; Munoz, Patricio; Long, Stephen; Sacks, Erik (2023): Impact of genotype-calling methodologies on genome-wide association and genomic prediction in polyploids. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4829913_V2
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.
Polyploid; allelic dosage; Bayesian genotype-calling; Genome-wide association; Genomic prediction
Sherwood, Joshua; Tiemann, Jeremy; Stein, Jeffrey (2022): Dataset associated with the "Fishes of Champaign County, Illinois: as affected by 120 years of stream changes" manuscript by Sherwood et al. . University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-9011146_V2
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.
fishes of Champaign County; streams; anthropogenic disturbances; long-term dataset
Storms, Suzanna (2023): RT-LAMP as diagnostic tool for Influenza-A Virus detection in swine. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-2079467_V1
Results of RT-LAMP reactions for influenza A virus diagnostic development.
swine influenza; LAMP; gBlock