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Qin, Ziqi; Guan, Kaiyu (2023): Data for Assessing long-term impacts of cover crops on soil organic carbon in the central U.S. Midwestern agroecosystems. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4013912_V1
This dataset includes supporting data for our article 'Assessing long-term impacts of cover crops on soil organic carbon in the central U.S. Midwestern agroecosystems'. The dataset contains carbon fluxes and SOC benefits from cover crops at six cover crop experiment sites in Illinois with three rotation systems: (1) without-cover-crop (maize-soybean rotations), (2) non-legume-preceding-maize (maize-annual ryegrass-soybean-annual ryegrass rotations), and (3) legume-preceding-maize (maize-cereal rye-soybean-hairy vetch rotations). <b>*NOTE:</b> there should be 13 files + 1 readme file, instead of 15 files as mentioned in readme.
Soil organic carbon; cover crops
Chen, Bowen; Gramig, Benjamin; Yun, Seong (2021): Data for Conservation Tillage Mitigates Drought Induced Soybean Yield Losses in the US Corn Belt. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-9179636_V1
Data files and R code to replicate the econometric analysis in the journal article: B Chen, BM Gramig and SD Yun. “Conservation Tillage Mitigates Drought Induced Soybean Yield Losses in the US Corn Belt.” Q Open. https://doi.org/10.1093/qopen/qoab007
R, Conservation Tillage, Drought, Yield, Corn, Soybeans, Resilience, Climate Change
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.
Geologic carbon storage; Caprock; Shale; CO2 breakthrough pressure; Porosimetry.
Crawford, Reed D.; Dodd, Luke E.; Tillman, Frank E.; O'Keefe, Joy M. (2022): Data for Evaluating bat boxes: Design and placement alter bioenergetic costs and overheating risk. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-3592866_V1
This dataset contains our bi-hourly temperature recordings from 40 rocket box style artificial roosts of 5 designs deployed in Indiana and Kentucky, USA from April through September 2019. This dataset also includes our endothermic and faculatively heterothermic daily energy expenditure datasets used in our bioenergetic analysis, which were calculated from the bi-hourly rocket box temperature data. Lastly, we include our overheating counts dataset which summarizes daily overheating events (i.e., temperatures > 40 Celsius) in each rocket box style bat box over the course of the study period, these daily summaries were also calculated from the bi-hourly rocket box temperature recordings.
artificial roost; bat box; microcllimate; temperature
Tiemann, Jeremy S.; Stodola, Alison P.; Douglass, Sarah A.; Vinsel, Rachel M.; Cummings, Kevin S. (2022): Dataset associated with Nonindigenous Aquatic Mollusks in Illinois manuscript. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-8947838_V1
This dataset is associated with a larger manuscript published in 2022 in the Illinois Natural History Survey Bulletin to summarize all known records for nonindigenous aquatic mollusks in Illinois, and full sources are referenced within the manuscript. We examined museum holdings, literature accounts, publicly available databases sponsored by the U.S. Geological Survey (USGS) - Nonindigenous Aquatic Species program (http://nas.er.usgs.gov/.) and InvertEBase (invertebase.org). We also included sporadic field survey data of encounters of nonindigenous aquatic species from colleagues within the Illinois Natural History Survey, Illinois Department of Natural Resources, U.S. Fish and Wildlife Service, county forest preserve districts, and other natural resource agencies about their encounters with nonindigenous aquatic mollusk species. Lastly, we examined the role and utility of citizen-science data to document occurrences of nonindigenous aquatic mollusk species. We queried iNaturalist (www.inaturalist.org) for all available nonindigenous freshwater mollusk data for Illinois. Table heading descriptions (if not intuitive) are: “INHS verified” is whether an INHS staff member verified the record by observing vouchered specimen or photograph; “Source” is where a record was accessed or obtained; “individualCount” is number collected or observed in a record; “MuseumCode” is standard museum abbreviation or acronym; “Institution” is source that housed or reported a record, and this also includes the spelled-out museum code; “Collectors” typically indicates who collected the specimen or voucher; “Lat_Long determined by” denotes whether collection coordinates were stated by the collector or by a curator (using inference from data available); “fieldNumber” typically indicates a unique field number that a collector may have used in the field; “identifiedBy” typically explains who identified a specimen or verified a specimen identification.
Illinois; Exotic species; Non-native aquatic species; NAS; Aquatic Invasive Species; AIS; Mollusk
Cao, Yanghui; Dietrich, Christopher H.; Kits, Joel; Dmitriev, Dmitry A.; Xu, Ye; Huang, Min (2023): Datasets for Phylogenomics of microleafhoppers (Hemiptera: Cicadellidae: Typhlocybinae): morphological evolution, divergence times and biogeography. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-8636195_V1
The following files were used to reconstruct the phylogeny of the leafhopper subfamily Typhlocybinae, using IQ-TREE v1.6.12 and ASTRAL v 4.10.5. <b>1) Taxon_sampling.csv:</b> contains the sample IDs (1st column) and the taxonomic information (2nd column). Sample IDs were used in the alignment files and partition files. <b>2) concatenated_nt_complete.phy:</b> a complete concatenated nucleotide dataset used for the maximum likelihood analysis by IQ-TREE v1.6.12. The file lists the sequences of 248 samples with 154,992 nucleotide positions (intron included) from 665 loci. Hyphens are used to represent gaps. <b>3) concatenated_nt_complete_partition.nex:</b> the partitioning schemes for concatenated_nt_complete.phy. The file partitions the 154,992 nucleotide characters into 426 character sets, and defines the best substitution model for each character set. <b>4) concatenated_cds_complete.phy:</b> a complete concatenated coding DNA sequence dataset used for the maximum likelihood analysis by IQ-TREE v1.6.12. The file lists the sequences of 248 samples with 153,525 nucleotide positions (intron excluded) from 665 loci. Hyphens are used to represent gaps. <b>5) concatenated_cds_complete_partition.nex:</b> the partitioning schemes for concatenated_cds_complete.phy. The file partitions the 153,525 nucleotide characters into 426 character sets, and defines the best substitution model for each character set. <b>6) concatenated_nt_reduced.phy:</b> a reduced concatenated nucleotide dataset used for the maximum likelihood analysis by IQ-TREE v1.6.12. The file lists the sequences of 248 samples with 95,076 nucleotide positions (intron included) from 374 loci. Hyphens are used to represent gaps. <b>7) concatenated_nt_reduced_partition.nex:</b> the partitioning schemes for concatenated_nt_reduced.phy. The file partitions the 95,076 nucleotide characters into 312 character sets, and defines the best substitution model for each character set. <b>8) concatenated_aa_complete.phy:</b> a complete concatenated amino acid dataset used for the maximum likelihood analysis by IQ-TREE v1.6.12, corresponding to concatenated_cds_complete.phy. The file lists the sequences of 248 samples with 51,175 amino acid positions from 665 loci. Hyphens are used to represent gaps. <b>9) concatenated_aa_complete_partition.nex:</b> the partitioning schemes for concatenated_aa_complete.phy. The file partitions the 51,175 amino acid characters into 426 character sets, and defines the best substitution model for each character set. <b>10) concatenated_aa_reduced.phy:</b> a reduced concatenated amino acid dataset used for the maximum likelihood analysis by IQ-TREE v1.6.12, corresponding to concatenated_nt_reduced.phy. The file lists the sequences of 248 samples with 31,384 amino acid positions from 374 loci. Hyphens are used to represent gaps. <b>11) concatenated_aa_reduced_partition.nex:</b> the partitioning schemes for concatenated_aa_reduced.phy. The file partitions the 31,384 amino acid characters into 312 character sets, and defines the best substitution model for each character set. <b>12) Individual_gene_alignment.zip:</b> contains 426 FASTA files, each one is an alignment for a gene. Hyphens are used to represent gaps. These files were used to construct gene trees using IQ-TREE v1.6.12, followed by multispecies coalescent analysis using ASTRAL v 4.10.5 based the consensus trees with a minimum average bootstrap value of 70.
Auchenorrhyncha, Cicadomorpha, Membracoidea, anchored hybrid enrichment
Vargas, Fabio (2021): Mesospheric gravity wave activity estimated via airglow imagery, multistatic meteor radar, and SABER data taken during the SIMONe–2018 campaign. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-8585682_V1
Airglow images and Meteor radar data used in the paper "Mesospheric gravity wave activity estimated via airglow imagery, multistatic meteor radar, and SABER data taken during the SIMONe–2018 campaign".
airglow; meteor radar; gravity waves; momentum flux;
Barker, Louise; Gaulke, Sarah M.; Chace, Jordyn Z.; Davis, Mark A.; Niemiller, Matthew L.; Taylor, Steven J.; Schuett, Gordon W. (2020): Video: Agkistrodon contortrix combat behavior. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-9209722_V1
Video recorded by Louise Barker using a Cannon Powershot camera documents late-season combat behavior in Agkistrodon contortrix. Recorded in Beaufort County, North Carolina, 11.1 km SE of downtown Washington on 21 October 2020.
Agkistrodon contortrix; combat; mating; reproduction; copperhead; pit viper; Viperidae;
Sashittal, Palash; Zhang, Chuanyi; El-Kebir, Mohammed (2020): Simulation Data for JUMPER: Discontinuous Transcript Assembly in SARS-CoV-2. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6667667_V1
This data contains bam files and transcripts in the simulated instances generated for the paper 'JUMPER: Discontinuous Transcript Assembly in SARS-CoV-2' submitted for RECOMB 2021. The folder 'bam' contained the simulated bam files aligned using STAR wile the reads were generated using the method polyester Note: in the readme file, close to the end of the document, please ignore this sentence: 'Those files can be opened by using [name of software].'
transcript assembly; SARS-CoV-2; discontinuous transcription; coronaviruses
Warner, Genoa R; Pacyga, Diana; Strakovsky, Rita; Smith, Rebecca; James-Todd, Tamarra; Williams, Paige; Hauser, Russ; Meling, Daryl; Li, Lucas; Flaws, Jodi (2020): Phthalates and Hot Flashes SI. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-9238850_V1
Supporting information for "Urinary Phthalate Metabolite Concentrations and Hot Flashes in Pre- and Perimenopausal Women from the Midlife Women’s Health Study." This file contains tables of the results of stratified analyses of the associations of hot flash outcomes with urinary phthalates metabolites by menopause status, race/ethnicity, body mass index, and depressive status. This file also contains supplementary HPLC methods for the analysis of phthalate metabolites.
Hot flashes; menopause; phthalates; women
Miller, Andrew; Raudabaugh, Daniel (2020): Data from Species Distribution, Phylogenetic Structure, and Functional Roles of Detritius Inhabiting Fungi Across Contrasting Aquatic Environments.. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6862941_V2
This version 2 dataset contains 34 files in total with one (1) additional file, called "Culture-dependent Isolate table with taxonomic determination and sequence data.csv". The remaining files (33) are identical to version 1. The following is the information about the new file and its variables: <b>Culture-dependent Isolate table with taxonomic determination and sequence data.csv</b>: Culture table with assigned taxonomy from NCBI. Single direction sequence for each isolate is include if one could be obtained. Sequence is derived from ITS1F-ITS4 PCR amplicons, with Sanger sequencing in one direction using ITS5. The files contains 20 variables with explanation as below: IsolateNumber : unique number identify each isolate cultured Time: season in which the sample was collected Location: the specific name of the location Habitat: type of habitat : either stream or peatland State: state in the USA in which the specific location is located Incubation_pH ID: pH of the medium during isolation of fungal cultures Genus: phylogenetic genus of the fungal isolates (determined by sequence similarity) Sequence_quality: base call quality of the entire sequence used for blast analysis, if known %_coverage: sequence coverage reported from GenBank %_ID: sequence similarity reported from GenBank Life_style : ecological life style if known Phylum: phylogenetic phylum as indicated by Index Fungorum Subphylum: phylogenetic subphylum as indicated by Index Fungorum Class: phylogenetic class as indicated by Index Fungorum Subclass: phylogenetic subclass as indicated by Index Fungorum Order: phylogenetic order as indicated by Index Fungorum Family: phylogenetic Family as indicated by Index Fungorum ITS5_Sequence: single direction sequence used for sequence similarity match using blastn. Primer ITS5 Fasta: sequence with nomenclature in a fasta format for easy cut and paste into phylogenetic software Note: blank cells mean no data is available or unknown.
ITS1 forward reads; Illumina; peatlands; streams; bogs; fens
South, Eric J.; Skinner, Rachel; DeWalt, R. Edward; Kondratieff, Boris; Johnson, Kevin P.; Davis, Mark; Lee, Jonathan; Durfee, Richard (2020): Phylogenomics of the North American Plecoptera. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6081616_V1
This dataset contains the amino acid and nucleotide alignments corresponding to the phylogenetic analyses of South et al. 2020 in Systematic Entomology. This dataset also includes the gene trees that were used as input for coalescent analysis in ASTRAL.
Plecoptera; stoneflies; phylogeny; insects
Kansara, Yogeshwar; Hoang, Linh; Dong, Xiaoru; Xie, Jingyi; Schneider, Jodi (2020): Sampled Cochrane Reviews Included RCTs Only. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-3285089_V2
The data file contains detailed information of the Cochrane reviews that were used in a project associated with the manuscript (working title) "Evaluation of an automated probabilistic RCT Tagger applied to published Cochrane reviews".
Cochrane reviews; systematic reviews; randomized control trial; RCT; automation
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 fluminea), while also accounting for other abiotic and biotic variables. This data includes the eDNA concentrations, quadrat estimates of clam density, and abiotic variables.
Corbicula; detection probability; eDNA; invasive species; lotic; occupancy modeling
Kansara, Yogeshwar; Hoang, Linh (2020): Included Articles from Cochrane Reviews. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-8212056_V2
The data file contains a list of included studies with their detailed metadata, taken from Cochrane reviews which were used in a project associated with the manuscript "Evaluation of an automated probabilistic RCT Tagger applied to published Cochrane reviews".
Cochrane reviews; automation; randomized controlled trial; RCT; systematic review
Lundstrom, Craig (2020): Experimental data from K-Na-Al-Si-H oxides systems. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-7110302_V1
Phase equilibria; Granite; Quartz; Feldspar
Xie, Yuxuan Richard; Chari, Varsha.K; Castro, Daniel.C; Grant, Romans; Rubakhin , Stanislav S. ; Sweedler, Jonathan V. (2023): Data-Driven and Machine Learning Based Framework for Image-Guided Single-Cell Mass Spectrometry. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-7302959_V1
Data sets to reproduce the results provided by the tutorial in paper "Data-Driven and Machine Learning Based Framework for Image-Guided Single-Cell Mass Spectrometry"
Mischo, William; Schlembach, Mary C. (2023): Processing and Pearson Correlation Scripts for the C&RL Article on the Relationships between Publication, Citation, and Usage Metrics at the University of Illinois at Urbana-Champaign Library . University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-0931140_V1
These processing and Pearson correlational scripts were developed to support the study that examined the correlational relationships between local journal authorship, local and external citation counts, full-text downloads, link-resolver clicks, and four global journal impact factor indices within an all-disciplines journal collection of 12,200 titles and six subject subsets at the University of Illinois at Urbana-Champaign (UIUC) Library. This study shows strong correlations in the all-disciplines set and most subject subsets. Special processing scripts and web site dashboards were created, including Pearson correlational analysis scripts for reading values from relational databases and displaying tabular results. The raw data used in this analysis, in the form of relational database tables with multiple columns, is available at <a href="https://doi.org/10.13012/B2IDB-6810203_V1">https://doi.org/10.13012/B2IDB-6810203_V1</a>.
Pearson Correlation Analysis Scripts; Journal Publication; Citation and Usage Data; University of Illinois at Urbana-Champaign Scholarly Communication
Mischo, William; Schlembach, Mary C.; Cabada, Elisandro (2023): Data for: Relationships between Journal Publication, Citation, and Usage Metrics within a Carnegie R1 University Collection: A Correlation Analysis. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6810203_V1
This dataset was developed as part of a study that examined the correlational relationships between local journal authorship, local and external citation counts, full-text downloads, link-resolver clicks, and four global journal impact factor indices within an all-disciplines journal collection of 12,200 titles and six subject subsets at the University of Illinois at Urbana-Champaign (UIUC) Library. While earlier investigations of the relationships between usage (downloads) and citation metrics have been inconclusive, this study shows strong correlations in the all-disciplines set and most subject subsets. The normalized Eigenfactor was the only global impact factor index that correlated highly with local journal metrics. Some of the identified disciplinary variances among the six subject subsets may be explained by the journal publication aspirations of UIUC researchers. The correlations between authorship and local citations in the six specific subject subsets closely match national department or program rankings. All the raw data used in this analysis, in the form of relational database tables with multiple columns. Can be opned using MS Access. Description for variables can be viewed through "Design View" (by right clik on the selected table, choose "Design View"). The 2 PDF files provide an overview of tables are included in each MDB file. In addition, the processing scripts and Pearson correlation code is available at <a href="https://doi.org/10.13012/B2IDB-0931140_V1">https://doi.org/10.13012/B2IDB-0931140_V1</a>.
Usage and local citation relationships; publication; citation and usage metrics; publication; citation and usage correlation analysis; Pearson correlation analysis
has sharing link
Ruess, Paul ; Konar, Megan ; Wanders, Niko; Bierkens, Marc (2023): Data for Irrigation by crop in the Continental United States from 2008 to 2020. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4607538_V1
Agriculture is the largest user of water in the United States. Yet, we do not understand the spatially resolved sources of irrigation water use by crop. The goal of this study is to estimate crop-specific irrigation water use from surface water withdrawals, total groundwater withdrawals, and nonrenewable groundwater depletion for the Continental United States. Water use by source is provided for 20 crops and crop groups from 2008 to 2020 at the county spatial resolution. These results present the first national-scale assessment of irrigation by crop, county, water source, and year. In total, there are nearly 2.5 million data points in this dataset (3,142 counties; 13 years; 3 water sources; and 20 crops). This dataset supports the paper by Ruess et al (2023) in Water Resources Research, https://doi.org/10.1029/2022WR032804. When using, please cite as: Ruess, P.J., Konar, M., Wanders, N. , & Bierkens, M. (2023). Irrigation by crop in the Continental United States from 2008 to 2020, Water Resources Research, 59, e2022WR032804. https://doi.org/10.1029/2022WR032804
Water use; irrigation; surface water; groundwater; groundwater depletion; counties; crops; time series
Harmon, Gabriel T.; Harmon-Threatt, Alexandra N.; Anderson, Nicholas L. (2022): Data for Changes in predator biomass may mask the negative effects of neonicotinoids on primary consumers in field settings. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-3611582_V1
The effect of pesticide contamination on arthropod biomass and diversity in simulated prairie restorations depended on arthropod feeding guild (e.g., predator, herbivore, or pollinator). The pesticides used in this study were the neonicotinoid insecticide clothianidin and the phthalimide fungicide captan. This dataset includes two data files. The first contains information about the study sites ("plots") and pesticide treatments. The second contains information about arthropod biomass and morphospecies richness separated by feeding guild for each month-plot combination. R code in an R Markdown file for the analysis and data presentation in the associated publication is also provided. Detected effects included: predator biomass was 66% lower in plots treated with clothianidin, and this effect persisted across the growing season; the impact on herbivore biomass appeared to be inconsistent, with biomass being 51% lower with clothianidin in June but no detected difference in July or August; herbivore morphospecies richness was 12% lower in plots treated with both clothianidin and captain; pollinators appeared to be unaffected by clothianidin; and pollinator biomass increased by 71% when captan was applied to a plot.
Arthropod decline; pesticide; clothianidin; captan; habitat restoration; trophic effects; insects
Schroeder, Nathan (2022): Burton Endo electron micrograph library. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-2692533_V4
The data are original electron micrographs from the lab of the late Dr. Burt Endo of the USDA. These data were digitized from photographic prints and glass plate negatives at 600 DPI as 16 bit TIFF files. This fourth version added 6 new ZIP files from the Endo data collection. "Endo folder database.xlsx" is updated to reflect the addition. Information in "Readme_FileNameFormatting.docx" remains the same as in V3.
Heterodera glycines; Meloidogyne incognita; Burt Endo; nematode
Morrow Plots Data Curation Working Group (2022): Morrow Plots Treatment and Yield Data. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-7865141_V1
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.
Corn; Crop Science; Experimental Fields; Crop Yields; Agriculture; Illinois; Morrow Plots
Ng, Yee Man Margaret ; Taneja, Harsh (2022): Global Web Use Similarity. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-3150928_V1
These are similarity matrices of countries based on dfferent modalities of web use. Alexa website traffic, trending vidoes on Youtube and Twitter trends. Each matrix is a month of data aggregated
Global Internet Use
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.
Age; Miscanthus; Net present value; Nitrogen; Optimal lifespan; Profit maximization; Switchgrass; Yield; Center for Advanced Bioenergy and Bioproducts Innovation