Illinois Data Bank Dataset Search Results
Results
published:
2024-03-27
Zheng, Heng; Schneider, Jodi
(2024)
To gather news articles from the web that discuss the Cochrane Review, we used Altmetric Explorer from Altmetric.com and retrieved articles on August 1, 2023. We selected all articles that were written in English, published in the United States, and had a publication date <b>prior to March 10, 2023</b> (according to the “Mention Date” on Altmetric.com). This date is significant as it is when Cochrane issued a statement about the "misleading interpretation" of the Cochrane Review.
The collection of news articles is presented in the Altmetric_data.csv file. The dataset contains the following data that we exported from Altmetric Explorer:
- Publication date of the news article
- Title of the news article
- Source/publication venue of the news article
- URL
- Country
We manually checked and added the following information:
- Whether the article still exists
- Whether the article is accessible
- Whether the article is from the original source
We assigned MAXQDA IDs to the news articles. News articles were assigned the same ID when they were (a) identical or (b) in the case of Article 207, closely paraphrased, paragraph by paragraph. Inaccessible items were assigned a MAXQDA ID based on their "Mention Title".
For each article from Altmetric.com, we first tried to use the Web Collector for MAXQDA to download the article from the website and imported it into MAXQDA (version 22.7.0). If an article could not be retrieved using the Web Collector, we either downloaded the .html file or in the case of Article 128, retrieved it from the NewsBank database through the University of Illinois Library.
We then manually extracted direct quotations from the articles using MAXQDA.
We included surrounding words and sentences, and in one case, a news agency’s commentary, around direct quotations for context where needed. The quotations (with context) are the positions in our analysis.
We also identified who was quoted. We excluded quotations when we could not identify who or what was being quoted. We annotated quotations with codes representing groups (government agencies, other organizations, and research publications) and individuals (authors of the Cochrane Review, government agency representatives, journalists, and other experts such as epidemiologists).
The MAXQDA_data.csv file contains excerpts from the news articles that contain the direct quotations we identified. For each excerpt, we included the following information:
- MAXQDA ID of the document from which the excerpt originates;
- The collection date and source of the document;
- The code with which the excerpt is annotated;
- The code category;
- The excerpt itself.
keywords:
altmetrics; MAXQDA; polylogue analysis; masks for COVID-19; scientific controversies; news articles
published:
2021-11-18
Pan, Chao; Tabatabaei, S Kasra; Tabatabaei Yazdi, S. M. Hossein; Hernandez, Alvaro; Schroeder, Charles; Milenkovic, Olgica
(2021)
This dataset contains sequencing data obtained from Illumina MiSeq device to prove the concept of the proposed 2DDNA framework. Please refer to README.txt for detailed description of each file.
keywords:
machine learning;image processing;computer vision;rewritable storage system;2D DNA-based data storage
published:
2025-01-31
Punyasena, Surangi W.; Romero, Ingrid; Urban, Michael A.
(2025)
Title: Airyscan confocal superresolution images of extant Malvaceae pollen with a focus on Bombacoideae
Authors: Surangi W. Punyasena, Ingrid Romero, Michael A. Urban
Subject: Biological sciences
Keywords: Malvaceae; superresolution microscopy; Zeiss; Bombacacidites; Neotropics; CZI
Funder: NSF-DBI Advances in Bioinformatics (NSF-DBI-1262561)
Corresponding Creator: Surangi W. Punyasena
This dataset includes a total of 430 images of extant specimens of the Malvaceae, with a focus on species that are or have been included within the subfamily Bombacoideae. There are 27 genera included within 26 folders. Each folder is named by genus and contains all the images that correspond to that genus. Note that the genus _Matisia_ is included with _Quararibea_ as detailed in the metadata READ ME file.
The specimens imaged are from the palynological collections of the Swedish Museum of Natural History and Smithsonian Tropical Research Institute, and herbarium specimens from the Smithsonian Herbarium National Museum.
The optical superresolution microscopy images were taken using a Zeiss LSM 880 with Airyscan at 630X magnification (63x/NA 1.4 oil DIC). The images are in the original CZI file format. They can be opened using Zeiss propriety software (Zen, Zen lite) or in ImageJ/FIJI. More information on how to open CZI files can be found here: [https://www.zeiss.com/microscopy/en/products/software/zeiss-zen/czi-image-file-format.html]
Image metadata and file organization are described in the CSV file "METADATA_Malvaceae_Bombacoideae_modern-species.csv". The column headings are:
Folder The folder in which the image file is found
Subfamily The current subfamily determination based on the literature. Note that _Pentaplaris_ and _Septotheca_ have not been assigned a subfamily.
Genus Genus name
Species Species name
Accepted name Accepted species name, updated from the literature
Slide name Species name as denoted on the herbarium slide
Collection Source of the herbarium slide: Sweden National Museum of Natural History or the Smithsonian Tropical Research Institute
File name File name using the species name denoted on the herbarium slide
Slide ID/Herbarium ID Specimen collection number
Please cite this dataset as:
Punyasena, Surangi W.; Romero, Ingrid; Urban, Michael A. (2025): Airyscan confocal superresolution images of extant Malvaceae pollen with a focus on Bombacoideae. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-2968712_V1
keywords:
Malvaceae; superresolution microscopy; Zeiss; Bombacoideae; Neotropics; CZI
published:
2025-10-30
Koh, Hyun Gi; Kim, Jinhong; Rao, Christopher V.; Park, Sung-Jin; Jin, Yong-Su
(2025)
A small and efficient DNA mutation-inducing machine was constructed with an array of microplasma jet devices (7 × 1) that can be operated at atmospheric pressure for microbial mutagenesis. Using this machine, we report disruption of a plasmid DNA and generation of mutants of an oleaginous yeast Rhodosporidium toruloides. Specifically, a compact-sized microplasma channel (25 × 20 × 2 mm3) capable of generating an electron density of greater than 1013 cm–3 was constructed to produce reactive species (N2*, N2+, O, OH, and Hα) under helium atmospheric conditions to induce DNA mutagenesis. The length of microplasma channels in the device played a critical role in augmenting both the volume of plasma and the concentration of reactive species. First, we confirmed that microplasma treatment can linearize a plasmid by creating nicks in vitro. Second, we treated R. toruloides cells with a jet device containing 7 microchannels for 5 min; 94.8% of the treated cells were killed, and 0.44% of surviving cells showed different colony colors as compared to their parental colony. Microplasma-based DNA mutation is energy-efficient and can be a safe alternative for inducing mutations compared to conventional methods using toxic mutagens. This compact and scalable device is amenable for industrial strain improvement involving large-scale mutagenesis.
keywords:
Conversion;Genome Engineering
published:
2020-02-12
Asplund, Joshua; Karahalios, Karrie
(2020)
This dataset contains the results of a three month audit of housing advertisements. It accompanies the 2020 ICWSM paper "Auditing Race and Gender Discrimination in Online Housing Markets". It covers data collected between Dec 7, 2018 and March 19, 2019.
There are two json files in the dataset: The first contains a list of json objects representing advertisements separated by newlines. Each object includes the date and time it was collected, the image and title (if collected) of the ad, the page on which it was displayed, and the training treatment it received. The second file is a list of json objects representing a visit to a housing lister separated by newlines. Each object contains the url, training treatment applied, the location searched, and the metadata of the top sites scraped. This metadata includes location, price, and number of rooms.
The dataset also includes the raw images of ads collected in order to code them by interest and targeting. These were captured by selenium and named using a perceptive hash to de-duplicate images.
keywords:
algorithmic audit; advertisement audit;
published:
2022-02-14
Yao, Yu; Curtis, Jeffrey; Ching, Joseph; Zheng, Zhonghua; Riemer, Nicole
(2022)
This dataset contains simulation results from numerical model PartMC-MOSAIC used in the article "Quantifying the effects of mixing state on aerosol optical properties". This article is submitted to the journal Atmospheric Physics and Chemistry. There are total 100 scenario directories in this dataset, denoted from 00-99. Each scenario contains 25 NetCDF files hourly output from PartMC-MOSAIC simulations containing the simulated gas and particle information.
The data was produced using version 2.5.0 of PartMC-MOSAIC. Instructions to compile and run PartMC-MOSAIC are available at https://github.com/compdyn/partmc. The chemistry code MOSAIC is available by request from Rahul.Zaveri@pnl.gov. For more details of reproducing the cases, please contact nriemer@illinois.edu and yuyao3@illinois.edu.
keywords:
Aerosol mixing state; Aerosol optical properties; Mie calculation; Black Carbon
published:
2025-11-24
Maitra, Shraddha; Cheng, Ming-Hsun; Liu, Hui; Cao, Viet Dang; Kannan, Baskaran; Long, Stephen; Shanklin, John; Altpeter, Fredy; Singh, Vijay
(2025)
Development of sustainable and scalable technologies to convert lignocellulosic biomass to biofuels is critical to achieving carbon neutrality. The potential of transgenic bioenergy crops as a renewable source of sugars and lipids has been demonstrated at bench-scale. However, scaling up these processes is important for holistic analysis. Here proof-of-concept for chemical-free hydrothermal pretreatment of transgenic energycane-oilcane line L13 at an industrially relevant scale to recover vegetative lipids along with cellulosic sugars is presented. Pilot-scale processing of 97 kg of transgenic energycane-oilcane L13 stems and high solids pretreatment of bagasse enhanced the recovery of cellulosic glucose and xylose by 5-fold as compared to untreated bagasse and helped in the enrichment of vegetative lipids in the biomass residues which allowed its recovery at the end of the bioprocess. Palmitic and oleic acids were the predominant fatty acids (FAs) extracted from stems and leaves. The processing did not affect lipid composition. The efficiency of lipid recovery from untreated biomass was 75.9% which improved to 88.7% upon pretreatment. The vegetative tissues of transgenic energycane-oilcane L13 contained 0.42 metric tons/hectare of lipids. Processing vegetative tissues yielded 0.38 metric tons/hectare of lipids. This approaches an oil yield similar to soybean (global average 0.44 metric tons/hectare) and is almost twice as high as the oil yield from sugarcane engineered to hyperaccumulate lipids (0.20 metric tons/hectare). The study suggests that further optimization by state-of-the-art metabolic engineering and biomass processing can establish transgenic bioenergy crops for commercial drop-in fuel production.
keywords:
Conversion;Feedstock Production;Biomass Analytics;Energycane;Lipidomics
published:
2021-04-06
Hadley, Daniel; Abrams, Daniel; Mannix, Devin; Cullen, Cecilia
(2021)
These datasets contain modeling files and GIS data associated with a risk assessment study for the Cambrian-Ordovician sandstone aquifer system in Illinois from predevelopment (1863) to the year 2070. Modeling work was completed using the Illinois Groundwater Flow Model, a regional MODFLOW model developed for water supply planning in Illinois, as a base model. The model is run using the graphical user interface Groundwater Vistas 7.0. The development and technical details of the base Illinois Groundwater Flow Model, including hydraulic property zonation, boundary conditions, hydrostratigraphy, solver settings, and discretization, are described in Abrams et al. (2018). Modifications to this base model (the version presented here) are described in Mannix et al. (2018), Hadley et al. (2020) and Abrams and Cullen (2020). Modifications include removal of particular multi-aquifer wells to improve calibration, changing Sandwich Fault Zone properties to achieve calibration at production wells within and near the fault zone, and the incorporation of demand scenarios based on a participatory modeling project with the Southwest Water Planning Group.
The zipped folder of model files contains MODFLOW input (package) files, Groundwater Vistas files, and a head file for the entire model run. The zipped folder of GIS data contains rasters of: simulated drawdown in the St. Peter sandstone from predevelopment to 2018, simulated drawdown in the Ironton-Galesville sandstone from predevelopment to 2018, simulated head difference between the St. Peter and Ironton-Galesville sandstone units in 2018, simulated head above the top of the St. Peter sandstone for the years 2029, 2050, and 2070, and simulated head above the top of the Ironton-Galesville sandstone for the years 2029, 2050, and 2070. Raster outputs were derived directly from the simulated heads in the Illinois Groundwater Flow Model. Rasters are clipped to the 8 county northeastern Illinois region (Cook, DuPage, Grundy, Kane, Kendall, Lake, McHenry, and Will counties).
Well names, historic and current head targets, and spatial offsets for the Illinois Groundwater Flow Model are available upon request via a data license agreement. Please contact authors to set this up if needed.
keywords:
groundwater; aquifer; sandstone aquifer; risk assessment; depletion; Illinois; MODFLOW; modeling
published:
2024-08-13
Maffeo, Christopher; Chhabra, Hemani; Aksimentiev, Aleksei
(2024)
Scripts used to computationally estimate the current through a DNA nanopore, starting from an equilibrated oxDNA configuration, in association with the manuscript "A lumen-tunable triangular DNA nanopore for molecular sensing and cross-membrane transport".
keywords:
DNA origami nanopore; Steric exclusion model; Ionic current
published:
2024-01-04
Kim, Hyunchul; Zhao, Helin; van der Zande, Arend
(2024)
This data set includes all of data related to stretchable TFTs based on 2D heterostructures including optical images of TFTs, Raman and Photoluminescence characteristics data, Transport measurement data, and AFM topography data.
Abstract
Two-dimensional (2D) materials are outstanding candidates for stretchable electronics, but a significant challenge is their heterogeneous integration into stretchable geometries on soft substrates. Here, we demonstrate a strategy for stretchable thin film transistors (2D S-TFT) based on wrinkled heterostructures on elastomer substrates where 2D materials formed the gate, source, drain, and channel, and characterized them with Raman spectroscopy and transport measurements.
keywords:
2D materials; 2D heterstructures; Stretchable electronics; transistors; buckling engineering
published:
2023-03-08
Majeed, Fahd; Khanna, Madhu
(2023)
A stochastic domination analysis model was developed to examine the effect that emerging carbon markets can have on the spatially varying returns and risk profiles of bioenergy crops relative to conventional crops. The code is written in MATLAB, and includes the calculated output.
See the README file for instructions to run the code.
keywords:
bioenergy crops; economic modeling; stochastic domination analysis model;
published:
2025-11-24
Mohebalhojeh, Matin; Frederick, Samuel; Riemer, Nicole; West, Matthew
(2025)
This dataset contains all the data and notebook files required to generate the figures presented in the manuscript “A metric for quantifying spatial heterogeneity in gridded atmospheric fields”, submitted to Earth and Space Science. The compressed folder Data.tar.gz contains the subdirectories "Emissions_data" and "Coagulation_simulation_data", which consist of netCDF files for EPA emissions and idealized coagulation simulation outputs, respectively. The compressed folder Notebooks contains three Python Jupyter notebooks used to generate the figures in Sections 3 and 4 of the manuscript, along with the necessary functions and classes.
keywords:
Spatial heterogeneity; Atmospheric Science; Aerosols
published:
2020-02-23
Ye, Di; Hill, Alison; Whitehorn (Fulton), Ashley; Schneider, Jodi
(2020)
Citation context annotation for papers citing retracted paper Matsuyama 2005 (RETRACTED: Matsuyama W, Mitsuyama H, Watanabe M, Oonakahara KI, Higashimoto I, Osame M, Arimura K. Effects of omega-3 polyunsaturated fatty acids on inflammatory markers in COPD. Chest. 2005 Dec 1;128(6):3817-27.), retracted in 2008 (Retraction in: Chest (2008) 134:4 (893) <a href="https://doi.org/10.1016/S0012-3692(08)60339-6">https://doi.org/10.1016/S0012-3692(08)60339-6<a/> ). This is part of the supplemental data for Jodi Schneider, Di Ye, Alison Hill, and Ashley Whitehorn. "Continued Citation of a Fraudulent Clinical Trial Report, Eleven Years after it was retracted for Falsifying Data" [R&R under review with Scientometrics].
Overall we found 148 citations to the retracted paper from 2006 to 2019, However, this dataset does not include the annotations described in the 2015. in Ashley Fulton, Alison Coates, Marie Williams, Peter Howe, and Alison Hill. "Persistent citation of the only published randomized controlled trial of omega-3 supplementation in chronic obstructive pulmonary disease six years after its retraction." Publications 3, no. 1 (2015): 17-26.
In this dataset 70 new and newly found citations are listed: 66 annotated citations and 4 pending citations (non-annotated since we don't have full-text).
"New citations" refer to articles published from March 25, 2014 to 2019, found in Google Scholar and Web of Science.
"Newly found citations" refer articles published 2006-2013, found in Google Scholar and Web of Science, but not previously covered in Ashley Fulton, Alison Coates, Marie Williams, Peter Howe, and Alison Hill. "Persistent citation of the only published randomised controlled trial of omega-3 supplementation in chronic obstructive pulmonary disease six years after its retraction." Publications 3, no. 1 (2015): 17-26.
NOTES:
This is Unicode data. Some publication titles & quotes are in non-Latin characters and they may contain commas, quotation marks, etc.
FILES/FILE FORMATS
Same data in two formats:
2006-2019-new-citation-contexts-to-Matsuyama.csv - Unicode CSV (preservation format only)
2006-2019-new-citation-contexts-to-Matsuyama.xlsx - Excel workbook (preferred format)
ROW EXPLANATIONS
70 rows of data - one citing publication per row
COLUMN HEADER EXPLANATIONS
Note - processing notes
Annotation pending - Y or blank
Year Published - publication year
ID - ID corresponding to the network analysis. See Ye, Di; Schneider, Jodi (2019): Network of First and Second-generation citations to Matsuyama 2005 from Google
Scholar and Web of Science. University of Illinois at Urbana-Champaign. <a href="https://doi.org/10.13012/B2IDB-1403534_V2">https://doi.org/10.13012/B2IDB-1403534_V2</a>
Title - item title (some have non-Latin characters, commas, etc.)
Official Translated Title - item title in English, as listed in the publication
Machine Translated Title - item title in English, translated by Google Scholar
Language - publication language
Type - publication type (e.g., bachelor's thesis, blog post, book chapter, clinical guidelines, Cochrane Review, consumer-oriented evidence summary, continuing education journal article, journal article, letter to the editor, magazine article, Master's thesis, patent, Ph.D. thesis, textbook chapter, training module)
Book title for book chapters - Only for a book chapter - the book title
University for theses - for bachelor's thesis, Master's thesis, Ph.D. thesis - the associated university
Pre/Post Retraction - "Pre" for 2006-2008 (means published before the October 2008 retraction notice or in the 2 months afterwards); "Post" for 2009-2019 (considered post-retraction for our analysis)
Identifier where relevant - ISBN, Patent ID, PMID (only for items we considered hard to find/identify, e.g. those without a DOI-based URL)
URL where available - URL, ideally a DOI-based URL
Reference number/style - reference
Only in bibliography - Y or blank
Acknowledged - If annotated, Y, Not relevant as retraction not published yet, or N (blank otherwise)
Positive / "Poor Research" (Negative) - P for positive, N for negative if annotated; blank otherwise
Human translated quotations - Y or blank; blank means Google scholar was used to translate quotations for Translated Quotation X
Specific/in passing (overall) - Specific if any of the 5 quotations are specific [aggregates Specific / In Passing (Quotation X)]
Quotation 1 - First quotation (or blank) (includes non-Latin characters in some cases)
Translated Quotation 1 - English translation of "Quotation 1" (or blank)
Specific / In Passing (Quotation 1) - Specific if "Quotation 1" refers to methods or results of the Matsuyama paper (or blank)
What is referenced from Matsuyama (Quotation 1) - Methods; Results; or Methods and Results - blank if "Quotation 1" not specific, no associated quotation, or not yet annotated
Quotation 2 - Second quotation (includes non-Latin characters in some cases)
Translated Quotation 2 - English translation of "Quotation 2"
Specific / In Passing (Quotation 2) - Specific if "Quotation 2" refers to methods or results of the Matsuyama paper (or blank)
What is referenced from Matsuyama (Quotation 2) - Methods; Results; or Methods and Results - blank if "Quotation 2" not specific, no associated quotation, or not yet annotated
Quotation 3 - Third quotation (includes non-Latin characters in some cases)
Translated Quotation 3 - English translation of "Quotation 3"
Specific / In Passing (Quotation 3) - Specific if "Quotation 3" refers to methods or results of the Matsuyama paper (or blank)
What is referenced from Matsuyama (Quotation 3) - Methods; Results; or Methods and Results - blank if "Quotation 3" not specific, no associated quotation, or not yet annotated
Quotation 4 - Fourth quotation (includes non-Latin characters in some cases)
Translated Quotation 4 - English translation of "Quotation 4"
Specific / In Passing (Quotation 4) - Specific if "Quotation 4" refers to methods or results of the Matsuyama paper (or blank)
What is referenced from Matsuyama (Quotation 4) - Methods; Results; or Methods and Results - blank if "Quotation 4" not specific, no associated quotation, or not yet annotated
Quotation 5 - Fifth quotation (includes non-Latin characters in some cases)
Translated Quotation 5 - English translation of "Quotation 5"
Specific / In Passing (Quotation 5) - Specific if "Quotation 5" refers to methods or results of the Matsuyama paper (or blank)
What is referenced from Matsuyama (Quotation 5) - Methods; Results; or Methods and Results - blank if "Quotation 5" not specific, no associated quotation, or not yet annotated
Further Notes - additional notes
keywords:
citation context annotation, retraction, diffusion of retraction
published:
2024-08-06
Xing, Yuqing; Bae, Seokjin; Madhavan, Vidya
(2024)
This is the raw topographies (without linear background subtraction) related to the publication: https://www.nature.com/articles/s41586-024-07519-5
published:
2025-10-16
Yun, Danim; Zhang, Zhongyao; Flaherty, David W.
(2025)
Oxidative cleavage of alkenes and unsaturated fatty acids with hydrogen peroxide gives an efficient and sustainable process to obtain mono- and di-acids for polymers and lubricants with fewer safety risks and less environmental impact than processes that utilize ozone or other inorganic oxidizers (e.g., permanganate, dichromate, etc.). Guided by insight into the mechanisms for competing reaction pathways (i.e., epoxidation of alkene on W–(η2-O2) complexes vs. H2O2 decomposition) and the apparent kinetics derived from kinetic experiments, here, we postulate that W-based heterogeneous catalysts can provide high performance and stable operations at low H2O2 concentrations. Semi-batch reactors with continuous introduction of H2O2 solutions offer the means to maintain low H2O2 concentrations while providing sufficient quantities of H2O2 to satisfy the reaction stoichiometry. We derived simple kinetic model equations for the epoxidation, ring-opening, oxidative cleavage, and oxidation steps and fit theses equations to batch experimental data to obtain kinetic parameters. This kinetic model describes the concentration profiles of reactant, oxidant, and products well as shown by agreement with experimental data. Further predictions of the optimal H2O2 feed rate for semi-batch operation utilized by the proposed rate expressions and the reactor design equations suggest that low H2O2 feed rate increases selectivity towards oxidative cleavage products and selective use of H2O2 for oxidative cleavage pathway. Comparisons of oxidative cleavage of 4-octene in batch and semi-batch reactors show that semi-batch reactors with optimized molar feed rates of H2O2 increased oxidative cleavage product selectivities (76% to 99%; with an increase in butyric acid selectivity from 1% to 55%) and H2O2 selectivity (3% to 30%). In addition, semi-batch reaction conditions used avoid H2O2-mediated dissolution of W-atoms from the catalyst. Analysis of these findings suggest that solid oxide catalysts will be effective for continuous oxidative cleavage reactions if deployed within fixed-bed reactors that allow for distributed introduction of reactants and therefore low in situ concentrations of H2O2.
keywords:
Conversion;Catalysis
published:
2018-06-20
Lao, Yuyang; Caravelli, Francesco; Sheikh, Mohammed; Sklenar, Joseph; Gardeazabal, Daniel; Watts, Justin D. ; Albrecht, Alan M. ; Scholl, Andreas; Dahmen, Karin; Nisoli, Cristiano; Schiffer, Peter
(2018)
The dataset includes the data used in the study of Classical Topological Order in the Kinetics of Artificial Spin Ice. This includes the photoemission electron microscopy intensity measurement of artificial spin ice at different temperatures as a function of time. The data includes the raw data, the metadata, and the data cookbook. Please refer to the data cookbook for more information. Note: vertex_population.xlsx file in the meta_data_code folder can be disregarded.
keywords:
artificial spin ice; PEEM; topological order
published:
2024-08-11
Curtis, Jeffrey H.; Riemer, Nicole; West, Matthew
(2024)
This dataset contains all material required to produce the figures found within the manuscript submitted to Geoscientific Model Development entitled “Explicit stochastic advection algorithms for the regional scale particle-resolved atmospheric aerosol model WRF-PartMC (v1.0)”. The dataset consists of Python Jupyter notebooks and any applicable WRF-PartMC output. This dataset covers the three numerical examples of the manuscript, 1D advection by a uniform constant wind, a 2D rotational flow and a 3D time-evolving WRF simulated flow.
keywords:
Atmospheric chemistry; Atmospheric Science; Particle-resolved modeling; Numerical modeling; Advection;
published:
2018-06-05
Soliman, Aiman; Mackay, Andrew; Schmidt , Arthur; Allan, Brian; Wang, Shaowen
(2018)
A complete building coverage area dataset (i.e. area occupied by building structures, excluding other built surfaces such as roads, parking lots, and public parks) at the level of census block groups for the contiguous United States (CONUS). The dataset was assembled based on an ensemble prediction of nonlinear hierarchical models to account for spatial heterogeneities in the distribution of built surfaces across different urban communities. Percentage of impervious land and housing density were used as predictors of the estimated area of buildings and cross-validation results showed that the product estimated area represented by buildings with a mean error of 0.049 %.
keywords:
Building Coverage Area; Urban Geography; Regional; Sustainability; US Census Block Groups; CONUS Data
published:
2020-11-18
Gardner, Allison; Allan, Brian
(2020)
These data obtained from the peer-reviewed literature and a public database depict the geographic expansion of the black-legged tick (Ixodes scapularis) and human cases of Lyme disease in the midwestern U.S.
<b><i>Note</b></i>: There was an omission from the first version (V1) of the data set that required us to update the data. Specifically, we failed to include the data from the article "Caporale DA, Johnson CM, Millard BJ. 2005 Presence of Borrelia burgdorferi (Spirochaetales: Spirochaetaceae) in Southern Kettle Moraine State Forest, Wisconsin, and characterization of strain W97F51. J. Med. Entomol. 42, 457–472". In the second version (V2) of the data, this omission is corrected.
keywords:
Lyme disease; Borrelia burgdorferi; Ixodes scapularis; black-legged tick
published:
2022-11-28
Avrin, Alexandra; Pekins, Charles; Wilmers, Christopher; Sperry, Jinelle; Allen, Maximilian
(2022)
Detection data of carnivores and their prey species from camera traps in Fort Hood, Texas and Santa Cruz, California, USA. Non-carnivore and non-prey species (humans, domestic species, avian species, etc.) were excluded from this dataset. All detections of each species at a camera within 30 minutes have been combined to 1 detection (only first detection within that 30 minutes kept) to avoid pseudoreplication.
Variable Description:
Site= Study area data were collected
MonitoringPeriod= year in which data was collected (data were collected at each location over multiple monitoring periods)
CameraName= Unique name for each camera location
Date= calendar date of detection
Time= time of detection
-Fort Hood= Central Time USA
-Santa Cruz= Pacific Time USA
Species= Common name of species detected
keywords:
carnivore; community ecology; competition; interspecific interactions; keystone species; mesopredator; predation; trophic cascade
published:
2023-04-02
Lee, Yuanyao; Khanna, Madhu; Chen, Luoye
(2023)
Use of cellulosic biofuels from non-feedstocks are modeled using the BEPAM (Biofuel and Environmental Policy Analysis Model) model to quantifying the uncertainties about induced land use change effects, net greenhouse gas saving potential, and economic costs. The code is in GAMS, general algebraic modeling language.
NOTE: Column 3 is titled "BAU" in "merged_BAU.gdx", "merged_RFS.gdx", and "merged_CEM.gdx", but contains "RFS" data in "merged_RFS.gdx" and "CEM" data in "merged_CEM.gdx".
keywords:
cellulosic biomass; BEPAM; economic modeling
published:
2024-08-02
Morrow Plots Data Curation Working Group
(2024)
The Morrow Plots at the University of Illinois at Urbana-Champaign are the longest-running continuous experimental plots in the Americas. In continuous operation since 1876, the plots were established to explore the impact of crop rotation and soil treatment on corn crop yields. In 2018, The Morrow Plots Data Curation Working Group began to identify, collect and curate the various data records created over the history of the experiment. The resulting data table published here includes planting, treatment and yield data for the Morrow Plots since 1888. Please see the included codebook for a detailed explanation of the data sources and their content. This dataset will be updated as new yield data becomes available.
*NOTE: While digitized and accessed through IDEALS, the physical copy of the field notebook: <a href="https://archon.library.illinois.edu/archives/index.php?p=collections/controlcard&id=11846">Morrow Plots Notebook, 1876-1913, 1967</a> is also held at the University of Illinois Archives.
keywords:
Corn; Crop Science; Experimental Fields; Crop Yields; Agriculture; Illinois; Morrow Plots
published:
2025-11-20
Ahmed, Md Wadud; Esquerre, Carlos A.; Eilts, Kristen; Allen, Dylan P.; McCoy, Scott M.; Varela, Sebastian; Singh, Vijay; Leakey, Andrew; Kamruzzaman, Mohammad
(2025)
NIR spectroscopy is a rapid and accurate green technology for high-throughput biomass characterization, including sorghum (Sorghum bicolor), a promising energy crop for the biofuel industry. This study assessed the influence of particle size on NIR spectroscopic analysis (wavelength range: 867–2535 nm) of sorghum biomass composition. Grown under field conditions, a total of 113 types of genetically diverse sorghum accessions were dried, ground, and sieved (<250, 250–600, 600–850, and > 850 µm particle size) for developing partial least square regression (PLSR) prediction models for moisture, ash, extractive, glucan, xylan, acid-soluble lignin (ASL), acid-insoluble lignin (AIL), and total lignin (ASL + AIL). Overall, smaller particle sizes provided better model performance, while no single particle size provided the best performance for all the selected components. With only 9 selected bands and 4 latent variables (LVs), the best PLSR model was obtained for moisture with particle size of 600–850 µm with the square root of the coefficient of determination (R) of 0.85, the ratio of prediction to deviation (RPD) of 2.2, and the root mean square error (RMSE) of 0.46 % in external validation. Similar model performances were also obtained for ash, extractive, glucan, and xylan. This study showed that size reduction could effectively improve NIR spectroscopic analysis for lipid-producing sorghum biomass for the biofuel industry.
keywords:
Conversion;Feedstock Production;Biomass Analytics;Modeling;Sorghum
published:
2016-12-20
Wickes, Elizabeth; Nakamura, Katia
(2016)
Scripts and example data for AIDData (aiddata.org) processing in support of forthcoming Nakamura dissertation.
This dataset includes two sets of scripts and example data files from an aiddata.org data dump. Fuller documentation about the functionality for these scripts is within the readme file. Additional background information and description of usage will be in the forthcoming Nakamura dissertation (link will be added when available). Data originally supplied by Nakamura. Python code and this readme file created by Wickes. Data included within this deposit are examples to demonstrate execution.
Roughly, there are two python scripts in here: keyword_search.py, designed to assist in finding records matching specific keywords, and matching_tool.ipynb, designed to assist in detection of which records are and are not contained within a keyword results file and an aiddata project data file.
keywords:
aiddata; natural resources
published:
2020-07-16
Mishra, Shubhanshu
(2020)
Dataset to be for SocialMediaIE tutorial
keywords:
social media; deep learning; natural language processing