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Illinois Data Bank Dataset Search Results
Dataset Search Results
published: 2019-10-19
Corey, Ryan M.; Skarha, Matthew D.; Singer, Andrew C. (2019): Massive Distributed Microphone Array Dataset. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6216881_V1
Large, distributed microphone arrays could offer dramatic advantages for audio source separation, spatial audio capture, and human and mach
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ine listening applications. This dataset contains acoustic measurements and speech recordings from 10 loudspeakers and 160 microphones spread throughout a large, reverberant conference room. The distributed microphone system contains two types of array: four wearable microphone arrays of 16 sensors each placed near the ears and across the upper body, and twelve tabletop arrays of 8 microphones each in enclosures designed to resemble voice-assistant speakers. The dataset includes recordings of chirps that can be used to measure impulse responses and of speech clips derived from the CSTR VCTK corpus. The speech clips are recorded both individually and as a mixture to support source separation experiments. The uncompressed files are about 13.4 GB.
more description
keywords:
microphone arrays; audio source separation; augmented listening; wireless sensor networks
published: 2020-10-28
Curtis, Amanda; Tiemann, Jeremy; Douglass, Sarah; Davis, Mark; Larson, Eric (2020): Data for: High stream flows dilute environmental DNA (eDNA) concentrations and reduce detectability. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-1591542_V1
We studied we examined the role of stream flow on environmental DNA (eDNA) concentrations and detectability of an invasive clam (Corbicula
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fluminea), while also accounting for other abiotic and biotic variables. This data includes the eDNA concentrations, quadrat estimates of clam density, and abiotic variables.
more description
keywords:
Corbicula; detection probability; eDNA; invasive species; lotic; occupancy modeling
published: 2022-08-20
Jones, Todd; Ward, Michael (2022): Jones and Ward BEAS-D-21-00106R2. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4619552_V1
Dataset associated with Jones and Ward BEAS-D-21-00106R2 submission: Parasitic cowbird development up to fledging and subsequent post-fledg
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ing survival reflect life history variation found across host species. Excel CSV files and .inp file with data used in nest survival and Brown-headed Cowbird post-fledging analyses and file with descriptions of each column. The CSV file is setup for logistic exposure models in SAS or R and the .inp file is setup to be uploaded into program MARK for multi-state recaptures only analysis. Species included in the analyses: American Robin, Blue Grosbeak, Brown Thrasher, Blue-winged Warbler, Carolina Chickadee, Chipping Sparrow, Common Yellowthroat, Dickcissel, Eastern Bluebird, Eastern Phoebe, Eastern Towhee, Field Sparrow, Gray Catbird, House Wren, Indigo Bunting, Northern Cardinal, Red-winged Blackbird, Tree Swallow, Yellow-breasted Chat, and Yellow Warbler.
more description
keywords:
brood parasitism; cowbird; carryover effects; phenotypic plasticity; post-fledging; songbirds
published: 2022-06-01
Southey, Bruce; Rodriguez-Zas, Sandra L. (2022): Data for changes in neuropeptide prohormone genes among Cetartio-dactyla livestock and wild species associated with evolution and domestication. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-2071917_V1
This dataset contain information for the paper "Changes in neuropeptide prohormone genes among Cetartio-dactyla livestock and wild species
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associated with evolution and domestication" Veterinary Sciences, MDPI. Protein sequences were predicted using GeneWise for 98 neuropeptide prohormone genes from publicly available genomes of 118 Cetartiodactyla species. All predictions (CetartiodactylaSequences2022.zip) were manually verified. Sequences were aligned within each prohormone using MAFFT (MDPImultalign2022.zip includes multiple sequence alignment of all species available for each prohormone). Phylogenetic gene trees were constructed using PhyML and the species tree was constructed using ASTRAL (MDPItree2022.zip). The data is released under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).
more description
keywords:
prohormone; neuropeptide; Cetartiodactyla; Cetartiodactyla; phylogenetics; gene tree; species tree
published: 2020-10-20
Romero, Ingrid; Urban, Michael A.; Punyasena, Surangi (2020): Airyscan confocal superresolution images of fossil and modern pollen of Amherstieae (Fabaceae). University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-9133967_V1
This dataset includes a total of 501 images of 42 fossil specimens of Striatopollis and 459 specimens of 45 extant species of the tribe Amh
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erstieae-Fabaceae. These 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 in 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].
more description
keywords:
Striatopollis catatumbus; superresolution microscopy; Cenozoic; tropics; Zeiss; CZI; striate pollen.
published: 2021-03-23
Zhao, Yifan; Sharif, Hashim; Adve, Vikram; Misailovic, Sasa (2021): ApproxTuner DNN Models. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6565690_V1
DNN weights used in the evaluation of the ApproxTuner system. Link to paper: https://dl.acm.org/doi/10.1145/3437801.3446108
published: 2022-04-19
Nowak, Romana; Yang, Shuhong; Li, Kailiang; Bi, Jiajia; Drnevich, Jenny (2022): List of differentially expressed genes for "Basigin is necessary for normal decidualization of human uterine stromal cells". University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-5457341_V1
List of differentially expressed genes in human endometrial stromal cells with knockdown of Basigin (BSG) gene expression during decidualiz
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ation. The BSG siRNA or negative scrambled control siRNA were transfected into human endometrial stromal cells (HESCs) following the protocol of siLentFect™ Lipid (Bio-Rad, Hercules, CA. Following complete knock down of BSG in HESCs (72 hours after adding siRNA), HESCs were treated with medium containing estrogen, progesterone and cAMP to induce decidualization. BSG siRNA and negative control scrambled siRNA were added to the cells every four days (day 0, 4) over the course of the decidualization protocol. Total RNA was harvested at day 6 of the decidualization protocol for microarray analysis. Microarray analysis was performed at the University of Illinois at Urbana-Champaign Roy J. Carver Biotechnology Center. Briefly, 0.2 micrograms of total RNA were labeled using the Agilent two color QuickAmp labeling kit (Agilent Technologies, Santa Clara, CA) according to the manufacturer’s protocol. The optional spike-in controls were not used. Samples were hybridized to Human Gene Expression 4x44K v2 Microarray (Agilent Technologies, Santa Clara, CA) in an Agilent Hybridization Cassette according to standard protocols. The arrays were then scanned on an Axon GenePix 4000B scanner and the images were quantified using Axon GenePix 6.1. Microarray data pre-processing and statistical analyses were done in R (v3.6.2) using the limma package (3.42.0 (Ritchie et al., 2015). Median foreground and median background values from the 4 arrays were read into R and any spots that had been manually flagged (-100 values) were given a weight of zero. The background values were ignored because investigations showed that trying to use them to adjust for background fluorescence added more noise to the data; background was low and even for all arrays, therefore no background correction was done. The individual Cy5 and Cy3 fluorescence for each array were normalized together using the quantile method 3 (Yang and Thorne, 2003). Agilent's Human Gene Expression 4x44K v2 Microarray has a total of 45,220 probes: 1224 probes for positive controls, 153 negative control, 823 labeled “ignore” and 43,118 labeled “cDNA”. The pos+neg+ignore probes were used to ascertain the background level of fluorescence (6, on the log2 scale) then discarded. The cDNA probes comprise 34,127 unique 60mer probes, of which 999 probes are spotted 10 times each and the rest one time each. We averaged the replicate probes for those spotted 10 times and then fit a mixed model that had treatment and dye as fixed effects and array pairing as a random effect (Phipson et al., 2016; Smyth et al., 2005). After fitting the model but before False Discovery Rate (FDR) correction (Benjamini and Hochberg, 1995), probes were filtered out by the following criteria: 1) did not have at least 4/8 samples with expression values > 6 (14,105 probes removed), 2) no longer had an assigned Entrez Gene ID in Bioconductor’s HsAgilentDesign026652.db annotation package (v3.2.3; 2,152 probes removed) (Huber et al., 2015), 3) mapped to the same Entrez Gene ID as another probe but had a larger p-value for treatment effect (4,141 probes removed). This left 13,729 probes representing 13,729 unique genes. <b>*Please note: that there is a discrepancy between the file and the readme as this plain text is the actual data file of this dataset.</b>
more description
keywords:
Basigin; endometrium; decidualization; human
published: 2022-07-10
Winogradoff, David; Chou, Han-Yi; Maffeo, Christopher; Aksimentiev, Aleksei (2022): Trajectory files for "Percolation transition prescribes protein size-specific barrier to passive transport through the nuclear pore complex.". University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-5581194_V1
keywords:
Nuclear pore complex; system files; trajectory files
published: 2016-08-16
Nguyen, Nam-phuong; Nute, Mike; Mirarab, Siavash; Warnow, Tandy (2016): HIPPI Dataset. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6795126_V1
This archive contains all the alignments and trees used in the HIPPI paper [1]. The pfam.tar archive contains the PFAM families used to bu
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ild the HMMs and BLAST databases. The file structure is: ./X/Y/initial.fasttree ./X/Y/initial.fasta where X is a Pfam family, Y is the cross-fold set (0, 1, 2, or 3). Inside the folder are two files, initial.fasta which is the Pfam reference alignment with 1/4 of the seed alignment removed and initial.fasttree, the FastTree-2 ML tree estimated on the initial.fasta. The query.tar archive contains the query sequences for each cross-fold set. The associated query sequences for a cross-fold Y is labeled as query.Y.Z.fas, where Z is the fragment length (1, 0.5, or 0.25). The query files are found in the splits directory. [1] Nguyen, Nam-Phuong D, Mike Nute, Siavash Mirarab, and Tandy Warnow. (2016) HIPPI: Highly Accurate Protein Family Classification with Ensembles of HMMs. To appear in BMC Genomics.
more description
keywords:
HIPPI dataset; ensembles of profile Hidden Markov models; Pfam
published: 2021-02-01
Sanyal, Swarnali (2021): Data for: The Potential Impact of a Clean Energy Society On Air Quality . University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-0060601_V1
These datasets provide the basis of our analysis in the paper - The Potential Impact of a Clean Energy Society On Air Quality. All datasets
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here are from the model output (CAM4-chem). All the simulations were run to steady-state and only the outputs used in the analysis are archived here.
more description
keywords:
clean energy; ozone; particulates
published: 2021-04-15
Mischo, William (2021): Scopus API Scripts for Data Reuse Project. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-0988473_V1
To generate the bibliographic and survey data to support a data reuse study conducted by several Library faculty and accepted for publicati
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on in the Journal of Academic Librarianship, the project team utilized a series of web-based online scripts that employed several different endpoints from the Scopus API. The related dataset: "Data for: An Examination of Data Reuse Practices within Highly Cited Articles of Faculty at a Research University" contains survey design and results. <br /> 1) <b>getScopus_API_process_dmp_IDB.asp</b>: used the search API query the Scopus database API for papers by UIUC authors published in 2015 -- limited to one of 9 pre-defined Scopus subject areas -- and retrieve metadata results sorted highest to lowest by the number of times the retrieved articles were cited. The URL for the basic searches took the following form: https://api.elsevier.com/content/search/scopus?query=(AFFIL%28(urbana%20OR%20champaign) AND univ*%29) OR (AF-ID(60000745) OR AF-ID(60005290))&apikey=xxxxxx&start=" & nstart & "&count=25&date=2015&view=COMPLETE&sort=citedby-count&subj=PHYS<br /> Here, the variable nstart was incremented by 25 each iteration and 25 records were retrieved in each pass. The subject area was renamed (e.g. from PHYS to COMP for computer science) in each of the 9 runs. This script does not use the Scopus API cursor but downloads 25 records at a time for up to 28 times -- or 675 maximum bibliographic records. The project team felt that looking at the most 675 cited articles from UIUC faculty in each of the 9 subject areas was sufficient to gather a robust, representative sample of articles from 2015. These downloaded records were stored in a temporary table that was renamed for each of the 9 subject areas. <br /> 2) <b>get_citing_from_surveys_IDB.asp</b>: takes a Scopus article ID (eid) from the 49 UIUC author returned surveys and retrieves short citing article references, 200 at a time, into a temporary composite table. These citing records contain only one author, no author affiliations, and no author email addresses. This script uses the Scopus API cursor=* feature and is able to download all the citing references of an article 200 records at a time. <br /> 3) <b>put_in_all_authors_affil_IDB.asp</b>: adds important data to the short citing records. The script adds all co-authors and their affiliations, the corresponding author, and author email addresses. <br /> 4) <b>process_for_final_IDB.asp</b>: creates a relational database table with author, title, and source journal information for each of the citing articles that can be copied as an Excel file for processing by the Qualtrics survey software. This was initially 4,626 citing articles over the 49 UIUC authored articles, but was reduced to 2,041 entries after checking for available email addresses and eliminating duplicates.
more description
keywords:
Scopus API; Citing Records; Most Cited Articles
published: 2022-08-29
Winogradoff, David; Chou, Han-Yi; Maffeo, Christopher; Aksimentiev, Aleksei (2022): Simulation setup for "Percolation transition prescribes protein size-specific barrier to passive transport through the nuclear pore complex.". University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-3813848_V1
Example scripts and configuration files needed to perform select simulations described in the manuscript "Percolation transition prescribes
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protein size-specific barrier to passive transport through the nuclear pore complex."
more description
keywords:
Nuclear Pore Complex; simulation setup
published: 2021-10-13
Lyu, Fangzheng; Xu, Zewei; Ma, Xinlin; Wang, Shaohua; Li, Zhiyu; Wang, Shaowen (2021): A Vector-Based Method for Drainage Network Analysis Based on LiDAR Data . University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6359717_V1
Drainage network analysis is fundamental to understanding the characteristics of surface hydrology. Based on elevation data, drainage netwo
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rk analysis is often used to extract key hydrological features like drainage networks and streamlines. Limited by raster-based data models, conventional drainage network algorithms typically allow water to flow in 4 or 8 directions (surrounding grids) from a raster grid. To resolve this limitation, this paper describes a new vector-based method for drainage network analysis that allows water to flow in any direction around each location. The method is enabled by rapid advances in Light Detection and Ranging (LiDAR) remote sensing and high-performance computing. The drainage network analysis is conducted using a high-density point cloud instead of Digital Elevation Models (DEMs) at coarse resolutions. Our computational experiments show that the vector-based method can better capture water flows without limiting the number of directions due to imprecise DEMs. Our case study applies the method to Rowan County watershed, North Carolina in the US. After comparing the drainage networks and streamlines detected with corresponding reference data from US Geological Survey generated from the Geonet software, we find that the new method performs well in capturing the characteristics of water flows on landscape surfaces in order to form an accurate drainage network. This dataset contains all the code, notebooks, datasets used in the study conducted for the research publication titled " A Vector-Based Method for Drainage Network Analysis Based on LiDAR Data ". ## What's Inside A quick explanation of the components * `A Vector Approach to Drainage Network Analysis Based on LiDAR Data.ipynb` is a notebook for finding the drainage network based on LiDAR data *`Picture1.png` is a picture representing the pseudocode of our new algorithm * HPC` folder contains codes for running the algorithm with sbatch in HPC ** `execute.sh` is a bash script file that use sbatch to conduct large scale analysis for the algorithm ** `run.sh` is a bash script file that calls the script file `execute.sh` for large scale calculation for the algorithm ** `run.py` includes the codes implemented for the algorithm * `Rowan Creek Data` includes data that are used in the study ** `3_1.las` and `3_2.las ` are the LiDAR data files that is used in our analysis presented in the paper. Users may use this data file to reproduce our results and may replace it with their own LiDAR file to run this method over different areas ** `reference` folder includes reference data from USGS *** `reference_3_1.tif` and `reference_3_2.tif` are reference data for the drainage system analysis retrieved from USGS.
more description
keywords:
CyberGIS; Drainage System Analysis; LiDAR
published: 2022-03-25
Kudeki, Erhan; Reyes, Pablo (2022): EVEX Campaign Ground Based Radar Data. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-8835972_V1
Ground based radar data sets collected during the 2013 NASA EVEX Campaign conducted in Roi-Namur island of the Kwajalein Atoll in the Repub
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lic of Marshall Islands are deposited in this databank. Radar data were collected with IRIS VHF and ALTAIR VHF/UHF systems.
more description
published: 2022-06-22
Kang, Jeon-Young; Farkhad, Bita Fayaz; Chan, Man-pui Sally; Michels, Alexander; Albarracin, Dolores; Wang, Shaowen (2022): Data for Spatial Accessibility to HIV (Human Immunodeficiency Virus) Testing, Treatment, and Prevention Services in Illinois and Chicago, USA. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-9096476_V1
This dataset helps to investigate the Spatial Accessibility to HIV Testing, Treatment, and Prevention Services in Illinois and Chicago, USA
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. The main components are: population data, healthcare data, GTFS feeds, and road network data. The core components are: 1) `GTFS` which contains GTFS (<a href="https://gtfs.org/">General Transit Feed Specification</a>) data which is provided by Chicago Transit Authority (CTA) from <a href="https://developers.google.com/transit/gtfs">Google's GTFS feeds</a>. Documentation defines the format and structure of the files that comprise a GTFS dataset: <a href="https://developers.google.com/transit/gtfs/reference?csw=1">https://developers.google.com/transit/gtfs/reference?csw=1</a>. 2) `HealthCare` contains shapefiles describing HIV healthcare providers in Chicago and Illinois respectively. The services come from <a href="https://locator.hiv.gov/">Locator.HIV.gov</a>. 3) `PopData` contains population data for Chicago and Illinois respectively. Data come from The American Community Survey and <a href="https://map.aidsvu.org/map">AIDSVu</a>. AIDSVu (https://map.aidsvu.org/map) provides data on PLWH in Chicago at the census tract level for the year 2017 and in the State of Illinois at the county level for the year 2016. The American Community Survey (ACS) provided the number of people aged 15 to 64 at the census tract level for the year 2017 and at the county level for the year 2016. The ACS provides annually updated information on demographic and socio economic characteristics of people and housing in the U.S. 4) `RoadNetwork` contains the road networks for Chicago and Illinois respectively from <a href="https://www.openstreetmap.org/copyright">OpenStreetMap</a> using the Python <a href="https://osmnx.readthedocs.io/en/stable/">osmnx</a> package. <b>The abstract for our paper is:</b> Accomplishing the goals outlined in “Ending the HIV (Human Immunodeficiency Virus) Epidemic: A Plan for America Initiative” will require properly estimating and increasing access to HIV testing, treatment, and prevention services. In this research, a computational spatial method for estimating access was applied to measure distance to services from all points of a city or state while considering the size of the population in need for services as well as both driving and public transportation. Specifically, this study employed the enhanced two-step floating catchment area (E2SFCA) method to measure spatial accessibility to HIV testing, treatment (i.e., Ryan White HIV/AIDS program), and prevention (i.e., Pre-Exposure Prophylaxis [PrEP]) services. The method considered the spatial location of MSM (Men Who have Sex with Men), PLWH (People Living with HIV), and the general adult population 15-64 depending on what HIV services the U.S. Centers for Disease Control (CDC) recommends for each group. The study delineated service- and population-specific accessibility maps, demonstrating the method’s utility by analyzing data corresponding to the city of Chicago and the state of Illinois. Findings indicated health disparities in the south and the northwest of Chicago and particular areas in Illinois, as well as unique health disparities for public transportation compared to driving. The methodology details and computer code are shared for use in research and public policy.
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keywords:
HIV;spatial accessibility;spatial analysis;public transportation;GIS
published: 2021-10-28
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
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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.
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keywords:
water quality; metabolites; range expansion; energy; contaminants
published: 2023-10-26
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
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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.
more description
keywords:
myelin; dietary lipid; white matter; CLARITY; Imaris; voxel-based morphometry; diffusion tensor imaging
published: 2020-09-27
Vandewalle, Rebecca; Barley, William; Padmanabhan, Anand; Katz, Daniel S.; Wang, Shaowen (2020): Figure code for Understanding the multifaceted geospatial software ecosystem: a survey approach. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6834324_V1
This dataset contains R codes used to produce the figures submitted in the manuscript titled "Understanding the multifaceted geospatial sof
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tware ecosystem: a survey approach". The raw survey data used to populate these charts cannot be shared due to the survey consent agreement.
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keywords:
R; figures; geospatial software
published: 2021-06-17
Dominguez, Francina; Yang, Zhao (2021): Model output from the Weather Research and Forecasting model with water vapor tracers over Amazon and La Plata river basins. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-8790412_V1
Model output dataset (6-hourly) from the Weather Research and Forecasting (WRF) model simulations over South America with the added capabil
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ity of water vapor tracers to track the moisture that originates over the Amazon and the La Plata river basins. The simulations were performed for the period 2003-2013 at 20-km horizontal resolution fully coupled with the Noah-MP land surface model. Limited number of original output variables sufficient for reproducing the analyses in papers that cite this dataset are included here. The attached wrfout_southamerica_readme.txt contains detailed information about the file format and variables. For the complete model dataset, contact francina@illinois.edu.
more description
keywords:
WRF; Amazon; La Plata; South America; Numerical tracers
published: 2023-09-01
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 Illinoi
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s 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.
more description
keywords:
ticks; survey; tick-borne disease; farmer
published: 2021-12-01
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 Southe
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rn 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.
more description
keywords:
ticks; veterinary medicine; tick-borne disease; survey
published: 2021-08-14
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 th
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at 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.
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keywords:
photosynthesis, photosynthetic capacity, natural variation, heritability, food security, rice
published: 2021-01-27
Kwang, Jeffrey S.; Langston, Abigail L.; Parker, Gary (2021): Dataset for "The necessity of lateral channel migration in the evolution of non-dendritic drainage networks to full dendricity and the persistence of dynamic networks". University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-3968226_V3
*This is the third version of the dataset*. New changes in this 3rd version: <i>1.replaces simulations where the initial condition c
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onsists of a sinusoidal channel with topographic perturbations with simulations where the initial condition consists of a sinusoidal channel without topographic perturbations. These simulations better illustrate the transformation of a nondendritic network into a dendritic one. 2. contains two additional simulations showing how total domain size affects the landscape's dynamism. 3. changes dataset title to reflect the publication's title</i> This dataset contains data from 18 simulations using a landscape evolution model. A landscape evolution model simulates how uplift and rock incision shape the Earth's (or other planets) surface. To date, most landscape evolution models exhibit "extreme memory" (paper: https://doi.org/10.1029/2019GL083305 and dataset: https://doi.org/10.13012/B2IDB-4484338_V1). Extreme memory in landscape evolution models causes initial conditions to be unrealistically preserved. This dataset contains simulations from a new landscape evolution model that incorporates a sub-model that allows bedrock channels to erode laterally. With this addition, the landscapes no longer exhibit extreme memory. Initial conditions are erased over time, and the landscapes tend towards a dynamic steady state instead of a static one. The model with lateral erosion is named LEM-wLE (Landscape Evolution Model with Lateral Erosion) and the model without lateral erosion is named LEM-woLE (Landscape Evolution Model without Lateral Erosion). There are 16 folders in total. Here are the descriptions: <i>>LEM-woLE_simulations:</i> This folder contains simulations using LEM-woLE. Inside the folder are 5 subfolders containing 100 elevation rasters, 100 drainage area rasters, and 100 plots showing the slope-area relationship. Elevation depicts the height of the landscape, and drainage area represents a contributing area that is upslope. Each folder corresponds to a different initial condition. Driver files and code for these simulations can be found at https://github.com/jeffskwang/LEM-wLE. <i>>MOVIE_S#_data:</i> There are 13 data folders that contain raster data for 13 simulations using LEM-wLE. Inside each folder are 1000 elevation rasters, 1000 drainage area rasters, and 1000 plots showing the slope-area relationship. Driver files and code for these simulations can be found at https://github.com/jeffskwang/LEM-wLE. <i>>movies_mp4_format:</i> For each data folder there are 3 movies generated that show elevation (a), drainage area (b), and erosion rates (c). These files are formatted in the mp4 format and are best viewed using VLC media player (https://www.videolan.org/vlc/index.html). <i>>movies_wmv_format:</i> This folder contains the same movies as the "movies_mp4_format" folder, but they are in a wmv format. These movies can be viewed using Windows media player or other Windows platform movie software. Here are the captions for the 13 movies: Movie S1. 200 MYR (1,000 RUs eroded) simulation showing elevation (a), logarithm of drainage area (b), and change in elevation (c). Initial Condition: Sinusoidal channel without randomized perturbations. Boundary Condition: 1 open boundary at the bottom of the domain, and 3 closed boundaries elsewhere. KL/KV = 1. Movie S2. 200 MYR (1,000 RUs eroded) simulation showing elevation (a), logarithm of drainage area (b), and change in elevation (c). Initial Condition: Inclined with small, randomized perturbations. Boundary Condition: 1 open boundary at the bottom of the domain, and 3 closed boundaries elsewhere. KL/KV = 1. Movie S3. 200 MYR (1,000 RUs eroded) simulation showing elevation (a), logarithm of drainage area (b), and change in elevation (c). Initial Condition: Inclined with large, randomized perturbations. Boundary Condition: 1 open boundary at the bottom of the domain, and 3 closed boundaries elsewhere. KL/KV = 1. Movie S4. 200 MYR (1,000 RUs eroded) simulation showing elevation (a), logarithm of drainage area (b), and change in elevation (c). Initial Condition: V-shaped valley with randomized perturbations. Boundary Condition: 1 open boundary at the bottom of the domain, and 3 closed boundaries elsewhere. KL/KV = 1. Movie S5. 200 MYR (1,000 RUs eroded) simulation showing elevation (a), logarithm of drainage area (b), and change in elevation (c). Initial Condition: Sinusoidal channel with randomized perturbations. Boundary Condition: 1 open boundary at the bottom of the domain, and 3 closed boundaries elsewhere. KL/KV = 1. Movie S6. 200 MYR (1,000 RUs eroded) simulation showing elevation (a), logarithm of drainage area (b), and change in elevation (c). Initial Condition: Sinusoidal channel without randomized perturbations. Boundary Condition: 1 open boundary at the bottom of the domain, and 3 closed boundaries elsewhere. KL/KV = 0.25. Movie S7. 200 MYR (1,000 RUs eroded) simulation showing elevation (a), logarithm of drainage area (b), and change in elevation (c). Initial Condition: Sinusoidal channel without randomized perturbations. Boundary Condition: 1 open boundary at the bottom of the domain, and 3 closed boundaries elsewhere. KL/KV = 0.5. Movie S8. 200 MYR (1,000 RUs eroded) simulation showing elevation (a), logarithm of drainage area (b), and change in elevation (c). Initial Condition: Sinusoidal channel without randomized perturbations. Boundary Condition: 1 open boundary at the bottom of the domain, and 3 closed boundaries elsewhere. KL/KV = 0.75. Movie S9. 200 MYR (1,000 RUs eroded) simulation showing elevation (a), logarithm of drainage area (b), and change in elevation (c). Initial Condition: Flat with randomized perturbations. Boundary Condition: 1 open boundary at the bottom of the domain, and 3 closed boundaries elsewhere. KL/KV = 1. Movie S10. 200 MYR (1,000 RUs eroded) simulation showing elevation (a), logarithm of drainage area (b), and change in elevation (c). Initial Condition: Flat with randomized perturbations. Boundary Condition: 2 open boundaries at the top and bottom of the domain, and 2 closed boundaries on the left and right sides. KL/KV = 1. Movie S11. 200 MYR (1,000 RUs eroded) simulation showing elevation (a), logarithm of drainage area (b), and change in elevation (c). Initial Condition: Flat with randomized perturbations. Boundary Condition: 4 open boundaries. KL/KV = 1. Movie S12. 200 MYR (1,000 RUs eroded) simulation showing elevation (a), logarithm of drainage area (b), and change in elevation (c). Initial Condition: Flat with randomized perturbations. Boundary Condition: 4 open boundaries. KL/KV = 1. Compared to Movie S11, the length of the domain is 50% shorter, decreasing the total domain area. Movie S13. 200 MYR (1,000 RUs eroded) simulation showing elevation (a), logarithm of drainage area (b), and change in elevation (c). Initial Condition: Flat with randomized perturbations. Boundary Condition: 4 open boundaries. KL/KV = 1. Compared to Movie S11, the length of the domain is 50% longer, increasing the total domain area. The associated publication for this dataset has not yet been published, and we will update this description with a link when it is.
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keywords:
landscape evolution; drainage networks; lateral migration; geomorphology
published: 2021-07-30
Proescholdt, Randi (2021): RISRS Retraction Review - Field Variation Data. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-2070560_V1
This data comes from a scoping review associated with the project called Reducing the Inadvertent Spread of Retracted Science. The data sum
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marizes the fields that have been explored by existing research on retraction, a list of studies comparing retraction in different fields, and a list of studies focused on retraction of COVID-19 articles.
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keywords:
retraction; fields; disciplines; research integrity
published: 2021-04-30
Gupta, Maya; Zaharias, Paul; Warnow, Tandy (2021): Data from: Accurate Large-scale Phylogeny-Aware Alignment using BAli-Phy. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-7863273_V1
This repository includes scripts and datasets for the paper, "Accurate Large-scale Phylogeny-Aware Alignment using BAli-Phy" submitted to
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Bioinformatics.
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keywords:
BAli-Phy;Bayesian co-estimation;multiple sequence alignment