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Illinois Data Bank Dataset Search Results
Dataset Search Results
published: 2022-08-23
Seyfried, Georgia; Corrales, Adriana; Kent, Angela; Dalling, James; Yang, Wendy (2022): Soil data for Watershed-scale variation in potential fungal community contributions to ectomycorrhizal biogeochemical syndromes. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-3532603_V1
This dataset contains soil chemical properties used to variation in soil fungal communities beneath Oreomunnea mexicana trees in the manuscript "Watershed-scale variation in potential fungal community contributions to ectomycorrhizal biogeochemical syndromes"
keywords:
Acid-base chemistry; Ectomycorrhizal fungi; Exploration type; Nitrogen cycling; Nitrogen isotopes; Plant-soil (below-ground) interactions; Saprotrophic fungi; Tropical forest
published: 2022-11-07
Sweedler, Jonathan; Castro, Daniel (2022): Single-cell and Subcellular Analysis using Ultrahigh Resolution 21 T MALDI FTICR Mass Spectrometry. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4873339_V1
The dataset contains the data and code for Single-cell and Subcellular Analysis of freshly isolated cultured, uncultured P1 cells and uncultured Old cells. The .csv file named 'MagLab20220721' contains the sample and intensity information with the columns referring to the m/z values and the rows being the samples. The 'MagLabNameINdex.csv' file contains all the index information. The file named '20220721_MagLab.spydata' contains the loaded data of both the two previous files in Spyder. The .mat file contains the aligned data for the three groups.
keywords:
Single-cell; Subcellular; Mass Spectrometry; MALDI; Lipidomics; FTICR; 21 T
published: 2023-03-13
Yang, Joyce; Zhao , Lei; Oleson, Keith (2023): Historical and future CESM climate simulations from: Large humidity effects on urban heat exposure and cooling challenges under climate change. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-9627482_V1
This dataset contains the historical and future (SSP3 and RCP7.0) CESM climate simulations used in the article "Large humidity effects on urban heat exposure and cooling challenges under climate change" (upcoming). Further details about these simulations can be found in the article. This dataset documents the monthly mean projections of air temperature, wet-bulb temperature, precipitation, relative humidity, and numerous other climatic variables for 2000-2009 (for the historical run) and for 2015-2100 (for the future projection under SSP3-RCP7). This dataset may be useful for urban planners, climate scientists, and decision-makers interested in changes in urban and rural climate under climate change.
keywords:
urban climate; climate change; heat stress; urban heat
published: 2023-12-23
Rodriguez-Zas, Sandra (2023): Supplemental File companion to a manuscript to be submitted. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-8635710_V1
Supplemental document corresponding to a submission to Physiological Genomics (Data supplements and source materials must now be deposited in a community-recognized data repository or to a generalist public access repository if no community resource is available. See "Author/Production Requirements" for more information.) https://pg.msubmit.net/
keywords:
Supplemental, Physiological Genomics
published: 2021-01-04
Zhao, Lei; Oleson, Keith; Bou-Zeid, Elie; Krayenhoff, Eric Scott; Bray, Andrew; Zhu, Qing; Zheng, Zhonghua; Chen, Chen; Oppenheimer, Michael (2021): Multi-model urban climate projections data from: Global multi-model projections of local urban climates. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4585244_V1
This dataset contains the emulated global multi-model urban climate projections under RCP 8.5 and RCP 4.5 used in the article "Global multi-model projections of local urban climates" (https://www.nature.com/articles/s41558-020-00958-8). Details about this dataset and the local urban climate emulator are described in the article. This dataset documents the monthly mean projections of urban temperatures and urban relative humidity of 26 CMIP5 Earth system models (ESMs) from 2006 to 2100 across the globe. This dataset may be useful for multiple communities regarding urban climate change, impacts, vulnerability, risks, and adaptation applications.
keywords:
Urban climate; multi-model climate projections; CMIP; urban warming; heat stress
published: 2022-09-07
Long, Stephen P.; Wang, Yu; Stutz, Samantha S. (2022): Data for Increased bundle sheath leakiness of CO2 during photosynthetic induction shows a lack of coordination between the C4 and C3 cycles. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-1181155_V1
We developed a new application of isotopic gas exchange which couples a tunable diode laser absorption spectroscope (TDL) with a leaf gas exchange system, analyzing leakiness through induction of C4 photosynthesis on dark to high-light transitions. The youngest fully expanded leaf was measured on 40-45 day-old maize(B73) and sorghum (Tx430). Detail definition of each variable in raw Li-6400XT and Li-6800 (in "Original_data_AND_Data_processing_code.zip") is summarized in: <a href="https://www.licor.com/env/support/LI-6800/topics/symbols.html#const">https://www.licor.com/env/support/LI-6800/topics/symbols.html#const</a>
keywords:
leakiness; bundle sheath leakage; C4 photosynthesis; photosynthetic induction; non-steady-state photosynthesis; carbon isotope discrimination; photosynthetic efficiency; corn
published: 2022-11-28
Zhang, Na; Sharma, Bijay P.; Khanna, Madhu (2022): Data for Determining Spatially Varying Profit-Maximizing Management Practices for Miscanthus and Switchgrass Production in the Rainfed United States. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-9793873_V1
The compiled datasets include county-level variables used for simulating miscanthus and switchgrass production in 2287 counties across the rainfed US including 5-year (2012-2016) averaged growing season degree days (GDD), 5-year (2012-2016) averaged growing season cumulative precipitation, National Commodity Crop Productivity Index (NCCPI) values, regional dummies (only for miscanthus), the regional-level random effect of the yield response function, N price, land cash rent, the first year fixed cost (only for switchgrass), and separate datasets for simulating an alternative model assuming a constant N rate. The GAMS codes are used to run the simulation to obtain the main results including the age-varying profit-maximizing N rate, biomass yields, and annual profits for miscanthus and switchgrass production across counties in the rainfed US. The STATA codes are used to merge and analyze simulation results and create summary statistics tables and key figures.
keywords:
Age; Miscanthus; Net present value; Nitrogen; Optimal lifespan; Profit maximization; Switchgrass; Yield; Center for Advanced Bioenergy and Bioproducts Innovation
published: 2019-10-27
Snyder, Corey; Do, Minh (2019): Data for STREETS: A Novel Camera Network Dataset for Traffic Flow. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-3671567_V1
This dataset accompanies the paper "STREETS: A Novel Camera Network Dataset for Traffic Flow" at Neural Information Processing Systems (NeurIPS) 2019. Included are: *Over four million still images form publicly accessible cameras in Lake County, IL. The images were collected across 2.5 months in 2018 and 2019. *Directed graphs describing the camera network structure in two communities in Lake County. *Documented non-recurring traffic incidents in Lake County coinciding with the 2018 data. *Traffic counts for each day of images in the dataset. These counts track the volume of traffic in each community. *Other annotations and files useful for computer vision systems. Refer to the accompanying "readme.txt" or "readme.pdf" for further details.
keywords:
camera network; suburban vehicular traffic; roadways; computer vision
published: 2022-08-06
Carson, Dawn; Kopsco, Heather; Gronemeyer, Peg; Mateus-Pinilla, Nohra; Smith, Genee; Sandstrom, Emma; Smith, Rebecca (2022): Knowledge, attitudes, and practices of Illinois medical professionals related to ticks and tick-borne disease. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-0685545_V1
An online knowledge, attitudes, and practices survey on ticks and tick-borne diseases was distributed to medical professionals in Illinois during summer 2020 to fall 2021. These are the raw data associated with that survey and the survey questions used. Age, gender, and county of practice have been removed for identifiability. We have added calculated values (columns 165 to end), 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; region, which is determined from the county of practice; TBD relevant practice, which separates the practice variable into TBD primary, secondary, and non-responders; and several variables which group categories.
keywords:
ticks; medicine; tick-borne disease; survey
published: 2022-08-06
Madhavan, Vidya; Aishwarya, Anuva (2022): Data for Spin-selective tunneling from nanowires of the candidate topological Kondo insulator SmB6. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-9971603_V1
This dataset consists of all the files and codes that are part of the manuscript (main text and supplement) titled "Spin-selective tunneling from nanowires of the candidate topological Kondo insulator SmB6". For detailed information on the individual files refer to the specific readme files.
keywords:
Topology; Kondo Inuslator; Spin; Scanning tunneling microscopy; antiferromagnetism
published: 2018-08-29
Finlon, Joseph (2018): Matched Radar and Microphysical Properties During MC3E. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6396968_V1
This dataset contains best estimates of the particle size distribution and measurements of the radar reflectivity factor and total water content for instances where ground-based radar and airborne microphysical observations were considered collocated with each other.
keywords:
MC3E; MCS; GPM; microphysics; radar; aircraft; ice
published: 2018-10-03
Das, Anupam; Acar, Gunes; Borisov, Nikita; Pradeep, Amogh (2018): A Crawl of the Mobile Web Measuring Sensor Accesses. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-9213932_V1
This dataset is the result of three crawls of the web performed in May 2018. The data contains raw crawl data and instrumentation captured by OpenWPM-Mobile, as well as analysis that identifies which scripts access mobile sensors, which ones perform some of browser fingerprinting, as well as clustering of scripts based on their intended use. The dataset is described in the included README.md file; more details about the methodology can be found in our ACM CCS'18 paper: Anupam Das, Gunes Acar, Nikita Borisov, Amogh Pradeep. The Web's Sixth Sense: A Study of Scripts Accessing Smartphone Sensors. In Proceedings of the 25th ACM Conference on Computer and Communications Security (CCS), Toronto, Canada, October 15–19, 2018. (Forthcoming)
keywords:
mobile sensors; web crawls; browser fingerprinting; javascript
published: 2020-06-03
Zhang, Jun; Wuebbles, Donald; Kinnison, Douglas; Baughcum, Steven (2020): Potential Impacts of Supersonic Aircraft on Stratospheric Ozone and Climate. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-9081595_V1
This datasets provide basis of our analysis in the paper - Potential Impacts of Supersonic Aircraft on Stratospheric Ozone and Climate. All datasets here can be categorized into emission data and model output data (WACCM). All the model simulations (background and perturbation) were run to steady-state and only the datasets used in analysis are archived here.
keywords:
NetCDF; Supersonic aircraft; Stratospheric ozone; Climate
published: 2021-04-29
Jackson, Nicole ; Konar, Megan ; Debaere, Peter; Sheffield, Justin (2021): Data for "Crop-specific exposure to extreme temperature and moisture for the globe for the last half century". University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-5457902_V1
Global assessments of climate extremes typically do not account for the unique characteristics of individual crops. A consistent definition of the exposure of specific crops to extreme weather would enable agriculturally-relevant hazard quantification. We introduce the Agriculturally-Relevant Exposure to Shocks (ARES) model, a novel database of both the temperature and moisture extremes facing individual crops by explicitly accounting for crop characteristics. Specifically, we estimate crop-specific temperature and moisture shocks during the growing season for a 0.25-degree spatial grid and daily time scale from 1961-2014 globally for 17 crops. The resulting database presented here provides annual crop- and event-specific exposure rates. Both gridded and country-level exposure rates are provided for each of the 17 crops. Our results provide new insights into the changes in the magnitude as well as spatial and temporal distribution of extreme events that impact crops over the past half-century. For additional information, please see the related paper by Jackson et al. (2021) in Environmental Research Letters.
keywords:
Crop-specific; weather extremes; temperature; moisture; global; gridded; time series
published: 2022-06-07
Chu, Gillian; Warnow, Tandy (2022): RNASim-VS2. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-8812049_V1
Provides RNASim-VS2 datasets used in Gillian's Master's thesis.
published: 2022-07-25
Jett, Jacob (2022): SBKS - Species Raw Entity Mentions. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4950847_V1
A set of species entity mentions derived from an NERC dataset analyzing 900 synthetic biology articles published by the ACS. This data is associated with the Synthetic Biology Knowledge System repository (https://web.synbioks.org/). The data in this dataset are raw mentions from the NERC data.
keywords:
synthetic biology; NERC data; species mentions
published: 2022-07-25
Jett, Jacob (2022): SBKS - Species Ambiguous Entity Mentions. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-1194770_V1
Related to the raw entity mentions, this dataset represents the effects of the data cleaning process and collates all of the entity mentions which were too ambiguous to successfully link to the NCBI's taxonomy identifier system.
keywords:
synthetic biology; NERC data; species mentions, ambiguous entities
published: 2022-07-25
Jett, Jacob (2022): SBKS - Species - Cleaned & Grounded Entity Mentions. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-8323975_V1
This dataset represents the results of manual cleaning and annotation of the entity mentions contained in the raw dataset (https://doi.org/10.13012/B2IDB-4950847_V1). Each mention has been consolidated and linked to an identifier for a matching concept from the NCBI's taxonomy database.
keywords:
synthetic biology; NERC data; species mentions; cleaned data; NCBI TaxonID
published: 2021-04-12
Urco Cordero, Juan M.; Kamalabadi, Farzad; Kamaci, Ulas; Harding, Brian J.; Frey, Harald U.; Mende, Stephen B.; Huba, Joe D.; England, Scott L.; Immel, Thomas J. (2021): Data for Conjugate photoelectron energy spectra derived from coincident FUV and radio measurements. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-2215727_V1
Conjugate photoelectron energy spectra derived from coincident FUV and radio measurements. These are outputs of simulations from the semi-empirical SAMI2-PE (Varney et al. 2012) for the night of January 4, 2020.
keywords:
Conjugate photoelectrons, SAMI2-PE, ICON
published: 2021-12-28
Xia, Yushu; Wander, Michelle (2021): Correlation Between Soil Quality Indictors including β-glucosidase, Fluorescein Diacetate Hydrolysis and Permanganate Oxidizable Carbon, and Ecosystem Functions represented by Crop Productivity and Greenhouse Gas Emissions. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4693684_V3
*Updates for this V3: added a few more records and rearranged the sequence of the tables in order to support our new paper "Evaluation of Indirect and Direct Scoring Methods to Relate Biochemical Soil Quality Indicators to Ecosystem Services" accepted by the Soil Science Society of America Journal. We summarize peer reviewed literature reporting associations between for three soil quality indicators (SQIs) (β-glucosidase (BG), fluorescein diacetate (FDA) hydrolysis, and permanganate oxidizable carbon (POXC)) and crop yield and greenhouse gas emissions. Peer-reviewed articles published between January of 1990 and May 2018 were searched using the Thomas Reuters Web of Science database (Thomas Reuters, Philadelphia, Pennsylvania) and Google Scholar to identify studies reporting results for: “β-glucosidase”, “permanganate oxidizable carbon”, “active carbon”, “readily oxidizable carbon”, or “fluorescein diacetate hydrolysis”, together with one or more of the following: “crop yield”, “productivity”, “greenhouse gas’, “CO2”, “CH4”, or “N2O”. Meta-data for records include the following descriptor variables and covariates useful for scoring function development: 1) identifying factors for the study site (location, duration of the experiment), 2) soil textural class, pH, and SOC, 3) depth of soil sampling, 4) units used in published works (i.e.: equivalent mass, concentration), 5) SQI abundances and measured ecosystem functions, and 6) summary statistics for correlation between SQIs and functions (yield and greenhouse gas emissions). *Note: Blank values in tables are considered unreported data.
keywords:
Soil health promoting practices; Soil quality indicators; β-glucosidase; fluorescein diacetate hydrolysis; Permanganate oxidizable carbon; Greenhouse gas emissions; Scoring curves; Soil Management Assessment Framework
published: 2022-04-15
Kim, Hyunbin; Makhnenko, Roman (2022): Data on "Evaluation of CO2 sealing potential of heterogeneous Eau Claire shale". University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-5509498_V1
This dataset is provided to support the statements in Kim, H., and R.Y. Makhnenko. 2022. "Evaluation of CO2 sealing potential of heterogeneous Eau Claire shale". Journal of the Geological Society. In geologic carbon dioxide (CO2) storage in deep saline aquifers, buoyant CO2 tends to float upwards in the reservoirs overlaid by low permeable formations called caprocks. Caprocks should serve as barriers to potential CO2 leakage that can happen through a diffusion loss and permeation through faults, fractures, or pore spaces. The leakage through intact caprock would mainly depend on its permeability and CO2 breakthrough pressure, and is affected by the heterogeneities in the material. Here, we study the sealing potential of a caprock from Illinois Basin - Eau Claire shale, with sandy and shaly fractions distinguished via electron microscopy and grain/pore size and surface area characterization. The direct measurements of permeability of sandy shale provides the values ~ 10-15 m2, while clayey specimens are three orders of magnitude less permeable. The CO2 breakthrough pressure under in-situ stress conditions is 0.1 MPa for the sandy shale and 0.4 MPa for the clayey counterpart – these values are higher than those predicted by the porosimetry methods performed on the unconfined specimens. Sandy Eau Claire shale would allow penetration of large CO2 volumes at low overpressures, while the clayey formation can serve as a caprock in the absence of faults and fractures in it.
keywords:
Geologic carbon storage; Caprock; Shale; CO2 breakthrough pressure; Porosimetry.
published: 2022-07-08
Rahlin, Anastasia; Saunders, Sarah; Beilke, Stephanie (2022): Spatial drivers of wetland bird occupancy within an urbanized matrix in the Upper Midwestern United States. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-1575830_V1
Dataset for "Spatial drivers of wetland bird occupancy within an urbanized matrix in the Upper Midwestern United States" manuscript contains occupancy data for ten wetland bird species used in single-species occupancy models at four spatial scales and four wetland habitat types. Data were collected from 2017-2019 in NE Illinois and NW Indiana. Dataset includes wetland bird occupancy data, habitat parameter values for each survey location, and R code used to run analyses.
keywords:
wetland birds; occupancy; emergent wetland; urbanization; Great Lakes region
published: 2022-08-05
Liu, Baqiao; Shen, Chengze; Warnow, Tandy (2022): 5000-het: Dataset of Nucleotide Sequences with a Form of Evolutionary Sequence Length Heterogeneity. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-3974819_V1
Simulated sequences provide a way to evaluate multiple sequence alignment (MSA) methods where the ground truth is exactly known. However, the realism of such simulated conditions often comes under question compared to empirical datasets. In particular, simulated data often does not display heterogeneity in the sequence lengths, a common feature in biological datasets. In order to imitate sequence length heterogeneity, we here present a set of data that are evolved under a mixture model of indel lengths, where indels have an occasional chance of being promoted to long indels (emulating large insertion/deletion events, e.g., domain-level gain/loss). This dataset is otherwise (e.g., in GTR parameters) analogous to the 1000M condition as presented in the SATe paper (doi: 10.1126/science.1171243) but with 5000 sequences and simulated with INDELible (http://abacus.gene.ucl.ac.uk/software/indelible/). For more information, see README.txt. For the INDELible control files, see https://github.com/ThisBioLife/5000M-234-het.
keywords:
simulated data; sequence length heterogeneity; multiple sequence alignment;
published: 2023-07-20
Atallah, Shady; Huang, Ju-Chin; Leahy, Jessica; Bennett, Karen P. (2023): Family Forest Landowner Preferences for Managing Invasive Species: Control Methods, Ecosystem Services, and Neighborhood Effects.. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-3482782_V1
This is a dataset from a choice experiment survey on family forest landowner preferences for managing invasive species.
keywords:
ecosystem services, forests, invasive species control, neighborhood effect
published: 2021-10-04
Wang, Justin; Curtis, Jeffrey H; Riemer, Nicole; West, Matthew (2021): Data from: Learning coagulation processes with combinatorially-invariant neural networks. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-3904737_V1
This dataset contains all the necessary information to recreate the study presented in the paper entitled "Learning coagulation processes with combinatorially-invariant neural networks". This consists of (1) the aggregated output files used for machine learning, (2) the machine learning codes used to learn the presented models, (3) the PartMC model source code that was used to generate the simulation data and (4) the Python scripts used construct the scenario library for training and testing simulations. This data was used to investigate a method (combinatorally-invariant neural network) for learning the aerosol process of coagulation. This data may be useful for application of other methods.
keywords:
Machine learning; Atmospheric chemistry; Particle-resolved modeling; Coagulation; Atmospheric Science