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Sweet sorghum is typically cultivated for the food and fodder market. Recently, sweet sorghum varieties are being metabolically transitioned to enhance energy density by accumulating oil droplets in their vegetative tissues for bioenergy applications. Owing to the high biomass yield of sorghum, the transgenic lines can compete with oil-seed crops for biodiesel yield per unit area. In the initial phase of transgenic development, a high-throughput phenotyping method can bridge the gap between the production pipeline and analysis to improve the efficiency of the process. To meet the requirement, the present study extends the application of time-domain 1H-NMR spectroscopy for rapid quantification and characterization of the total in-situ lipids of sweet sorghum ‘ramada’ to lay the groundwork for analyzing the upcoming large quantity of transgenic samples. NMR technology has been successfully established for analyzing lipid contents of vegetative tissues of non-transgenic variety. The multiexponential analysis of spin-lattice (T1) relaxation spectra obtained from TD-NMR aided the investigation of the dynamics of the free and bound lipid fraction with plant development. The total lipid concentration of bagasse and leaves of non-transgenic sweet sorghum remained unchanged throughout the plant development. Leaves displayed a higher percentage of bound lipids as compared to bagasse. A significant variation in the lipid concentration of juice was observed at the different growth stages with a maximum lipid accumulation of 1.21 ± 0.04% w/w at the boot stage that decreased with further maturity of the plant.

Data were used to analyze patterns in predator-specific nest predation on shrubland birds in Illinois as related to landscape composition at multiple landscape scales. Data were used in a Journal of Applied Ecology research paper of the same name. Data were collected between 2011 and 2014 at sites in east-central and northeastern Illinois, USA as part of a Ph.D. research project on the relationship between avian nest predation and landscape characteristics, and how nest predation affects adult and nestling bird behavior.

This is the published ortholog set derived from whole genome data used for the analysis of members of the B. tabaci complex of whiteflies. It includes the concatenated alignment and individual gene alignments used for analyses (Link to publication: https://www.mdpi.com/1424-2818/11/9/151).

Rubisco activase (Rca) facilitates the release of sugar‐phosphate inhibitors from the active sites of Rubisco and thereby plays a central role in initiating and sustaining Rubisco activation. In Arabidopsis, alternative splicing of a single Rca gene results in two Rca isoforms, Rca‐α and Rca‐β. Redox modulation of Rca‐α regulates the function of Rca‐α and Rca‐β acting together to control Rubisco activation. Although Arabidopsis Rca‐α alone less effectively activates Rubisco in vitro , it is not known how CO2 assimilation and plant growth are impacted. Here, we show that two independent transgenic Arabidopsis lines expressing Rca‐α in the absence of Rca‐β (“Rca‐α only” lines) grew more slowly in various light conditions, especially under low light or fluctuating light intensity, and in a short day photoperiod compared to wildtype. Photosynthetic induction was slower in the Rca‐α only lines, and they maintained a lower rate of CO2 assimilation during both photoperiod types. Our findings suggest Rca oligomers composed of Rca‐α only are less effective in initiating and sustaining the activation of Rubisco than when Rca‐β is also present. Currently there are no examples of any plant species that naturally express Rca‐α only but numerous examples of species expressing Rca‐β only. That Rca‐α exists in most plant species, including many C3 and C4 food and bioenergy crops, implies its presence is adaptive under some circumstances.

This dataset, uCite, is the union of nine large-scale open-access PubMed citation data separated by reliability. There are 20 files, including the reliable and unreliable citation PMID pairs, non-PMID identifiers to PMID mapping (for DOIs, Lens, MAG, and Semantic Scholar), original PMID pairs from the nine resources, some metadata for PMIDs, duplicate PMIDs, some redirected PMID pairs, and PMC OA Patci citation matching results. The short description of each data file is listed as follows. A detailed description can be found in the README.txt. <strong>DATASET DESCRIPTION</strong> <ol> <li>PPUB.tsv.gz - tsv format file containing reliable citation pairs uCite.</li> <li>PUNR.tsv.gz - tsv format file containing reliable citation pairs uCite.</li> <li>DOI2PMID.tsv.gz - tsv format file containing results mapping DOI to PMID. </li> <li> LEN2PMID.tsv.gz - tsv format file containing results mapping LensID pairs to PMID pairs.. </li> <li> MAG2PMIDsorted.tsv.gz - tsv format file containing results mapping MAG ID to PMID. </li> <li>SEM2PMID.tsv.gz - tsv ormat file containing results mapping Semantic Scholar ID to PMID. </li> <li>JVNPYA.tsv.gz - tsv format file containing metadata of papers with PMID, journal name, volume, issue, pages, publication year, and first author's last name. </li> <li>TiLTyAlJVNY.tsv.gz - tsv format file containing metadata of papers. </li> <li> PMC-OA-patci.tsv.gz - tsv format file containing PubMed Central Open Access subset reference strings extracted by \cite{} processed by Patci.</li> <li>REDIRECTS.gz - txt file containing unreliable PMID pairs mapped to reliable PMID pairs. </li> <li>REMAP - file containing pairs of duplicate PubMed records (lhs PMID mapped to rhs PMID).</li> <li> ami_pair.tsv.gz - tsv format file containing all citation pairs from Aminer (2015 version). </li> <li> dim_pair.tsv.gz - tsv format file containing all citation pairs from Dimensions. </li> <li> ice_pair.tsv.gz - tsv format file containing all citation pairs from iCite (April 2019 version, version 1). </li> <li> len_pair.tsv.gz - tsv format file containing all citation pairs from Lens.org (harvested through Oct 2021). </li> <li>mag_pair.tsv.gz - tsv format file containing all citation pairs from Microsoft Academic Graph (2015 version). </li> <li> oci_pair.tsv.gz - tsv format file containing all citation pairs from Open Citations (Nov. 2021 dump, csv version ). </li> <li> pat_pair.tsv.gz - tsv format file containing all citation pairs from Patci (i.e., from "PMC-OA-patci.tsv.gz"). </li> <li> pmc_pair.tsv.gz - tsv format file containing all citation pairs from PubMed Central (harvest through Dec 2018 via e-Utilities).</li> <li> sem_pair.tsv.gz - tsv format file containing all citation pairs from Semantic Scholar (2019 version) . </li> </ol> <strong>COLUMN DESCRIPTION</strong> <strong>FILENAME</strong> : <em>PPUB.tsv.gz, PUNR.tsv.gz</em> (1) fromPMID - PubMed ID of the citing paper. (2) toPMID - PubMed ID of the cited paper. (3) sources - citation sources, in which the citation pairs are identified. (4) fromYEAR - Publication year of the citing paper. (5) toYEAR - Publication year of the cited paper. <strong>FILENAME</strong> : <em>DOI2PMID.tsv.gz</em> (1) DOI - Semantic Scholar ID of paper records. (2) PMID - PubMed ID of paper records. (3) PMID2 - Digital Object Identifier of paper records, “-” if the paper doesn't have DOIs. <strong>FILENAME</strong> : <em>SEMID2PMID.tsv.gz</em> (1) SemID - Semantic Scholar ID of paper records. (2) PMID - PubMed ID of paper records. (3) DOI - Digital Object Identifier of paper records, “-” if the paper doesn't have DOIs. <strong>FILENAME</strong> : <em>JVNPYA.tsv.gz</em> - Each row refers to a publication record. (1) PMID - PubMed ID. (2) journal - Journal name. (3) volume - Journal volume. (4) issue - Journal issue. (5) pages - The first page and last page (without leading digits) number of the publication separated by '-'. (6) year - Publication year. (7) lastname - Last name of the first author. <strong>FILENAME</strong> : <em>TiLTyAlJVNY.tsv.gz</em> (1) PMID - PubMed ID. (2) title_tokenized - Paper title after tokenization. (3) languages - Language that paper is written in. (4) pub_types - Types of the publication. (5) length(authors) - String length of author names. (6) journal -Journal name . (7) volume - Journal volume . (8) issue - Journal issue. (9) year - Publication year of print (not necessary epub). <strong>FILENAME</strong> : <em> PMC-OA-patci.tsv.gz</em> (1) pmcid - PubMed Central identifier. (2) pos - (3) fromPMID - PubMed ID of the citing paper. (4) toPMID - PubMed ID of the cited paper. (5) SRC - citation sources, in which the citation pairs are identified. (6) MatchDB - PubMed, ADS, DBLP. (7) Probability - Matching probability predicted by Patci. (8) toPMID2 - PubMed ID of the cited paper, extracted from OA xml file (9) SRC2 - citation sources, in which the citation pairs are identified. (10) intxt_id - (11) jounal - First character of the journal name. (12) same_ref_string - Y if patci and xml reference string match, otherwise N. (13) DIFF - (14) bestSRC - Citation sources, in which the citation pairs are identified. (15) Match - Matching strings annotated by Patci. <strong>FILENAME</strong> : <em>REDIRECTS.gz</em> Each row in Redirectis.txt is a string sequence in the same format as follows. - "REDIRECTED FROM: source PMID_i PMID_j -> PMID_i' PMID_j " - "REDIRECTED TO: source PMID_i PMID_j -> PMID_i PMID_j' " Note: source is the names of sources where the PMID_i and PMID_j are from. <strong>FILENAME</strong> : <em>REMAP</em> Each row is remapping unreliable PMID pairs mapped to reliable PMID pairs. The format of each row is "$REMAP{PMID_i} = PMID_j". <strong>FILENAME</strong> : <em>ami_pair.tsv.gz, dim_pair.tsv.gz, ice_pair.tsv.gz, len_pair.tsv.gz, mag_pair.tsv.gz, oci_pair.tsv.gz, pat_pair.tsv.gz，pmc_pair.tsv.gz, sem_pair.tsv.gz</em> (1) fromPMID - PubMed ID of the citing paper. (2) toPMID - PubMed ID of the cited paper.

We are sharing the tweet IDs of four social movements: #BlackLivesMatter, #WhiteLivesMatter, #AllLivesMatter, and #BlueLivesMatter movements. The tweets are collected between May 1st, 2015 and May 30, 2017. We eliminated the location to the United States and focused on extracting the original tweets, excluding the retweets. Recommended citations for the data: Rezapour, R. (2019). Data for: How do Moral Values Differ in Tweets on Social Movements?. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-9614170_V1 and Rezapour, R., Ferronato, P., and Diesner, J. (2019). How do moral values differ in tweets on social movements?. In 2019 Computer Supported Cooperative Work and Social Computing Companion Publication (CSCW’19 Companion), Austin, TX.

Atomic oxygen densities in the MLT, averaged for 2002-2018 for 26, 14 day periods, beginning January 1.

These datasets were performed to assess whether color pattern phenotypes of the polymorphic tortoise beetle, Chelymorpha alternans, mate randomly with one another, and whether there are any reproductive differences between assortative and disassortative pairings.

This repository contains datasets and R scripts that were used in a study of the population structure of Miscanthus sacchariflorus in its native range across East Asia. Notably, genotypes of 764 individuals at 34,605 SNPs, called from reduced-representation DNA sequencing using a non-reference bioinformatics pipeline, are provided. Two similar SNP datasets, used for identifying clonal duplicates and for determining the ancestry of ornamental and hybrid Miscanthus plants identified in previous studies respectively, are also provided. There is also a spreadsheet listing the provenance and ploidy of all individuals along with their plastid (chloroplast) haplotypes. Software output for Structure, Treemix, and DIYABC is also included. See README.txt for more information about individual files. Results of this study are described in a manuscript in revision in Annals of Botany by the same authors, "Population structure of Miscanthus sacchariflorus reveals two major polyploidization events, tetraploid-mediated unidirectional introgression from diploid Miscanthus sinensis, and diversity centered around the Yellow Sea."

Trained models for multi-task multi-dataset learning for sequence prediction in tweets Tasks include POS, NER, Chunking, and SuperSenseTagging Models were trained using: https://github.com/napsternxg/SocialMediaIE/blob/master/experiments/multitask_multidataset_experiment.py See https://github.com/napsternxg/SocialMediaIE for details.

The files are plain text and contain the original data used in phylogenetic analyses of of Typhlocybinae (Bin, Dietrich, Yu, Meng, Dai and Yang 2022: Ecology & Evolution, in press). The three files with extension .phy are text files with aligned DNA sequences in the standard PHYLIP format and correspond to Matrix 1 (amino acid alignment), Matrix 2 (nucleotide alignment of first two codon positions of protein-coding genes) and Matrix 3 (nucleotide alignment of protein-coding genes plus 2 ribosomal genes) described in the Methods section. An additional text file in NEXUS format (.nex extension) contains the morphological character data used in the ancestral state reconstruction (ASCR) analysis described in the Methods. NEXUS is a standard format used by various phylogenetic analysis software. For more information on data file content, see the included "readme" files.

The leaf economics spectrum (LES) describes multivariate correlations in leaf structural, physiological and chemical traits, originally based on diverse C3 species grown under natural ecosystems. However, the specific contribution of C4 species to the global LES is studied less widely. C4 species have a CO2 concentrating mechanism which drives high rates of photosynthesis and improves resource use efficiency, thus potentially pushing them towards the edge of the LES. Here, we measured foliage morphology, structure, photosynthesis, and nutrient content for hundreds of genotypes of the C4 grass Miscanthus × giganteus grown in two common gardens over two seasons. We show substantial trait variations across M. × giganteus genotypes and robust genotypic trait relationships. Compared to the global LES, M. × giganteus genotypes had higher photosynthetic rates, lower stomatal conductance, and less nitrogen content, indicating greater water and photosynthetic nitrogen use efficiency in the C4 species. Additionally, tetraploid genotypes produced thicker leaves with greater leaf mass per area and lower leaf density than triploid genotypes. By expanding the LES relationships across C3 species to include C4 crops, these findings highlight that M. × giganteus occupies the boundary of the global LES and suggest the potential for ploidy to alter LES traits.

Chemical-free pretreatments are attracting increased interest because they generate less inhibitor in hydrolysates. In this study, pilot-scaled continuous hydrothermal (PCH) pretreatment followed by disk refining was evaluated and compared to laboratory-scale batch hot water (LHW) pretreatment. Bioenergy sorghum bagasse (BSB) was pretreated at 160-190 °C for 10 min with and without subsequent disk milling. Hydrothermal pretreatment and disk milling synergistically improved glucose and xylose release by 10-20% compared to hydrothermal pretreatment alone. Maximum yields of glucose and xylose of 82.55% and 70.78%, respectively were achieved, when BSB was pretreated at 190 °C and 180 °C followed by disk milling. LHW pretreated BSB had 5-15% higher sugar yields compared to PCH for all pretreatment conditions. The surface area improvement was also performed. PCH pretreatment combined with disk milling increased BSB surface area by 31.80-106.93%, which was greater than observed using LHW pretreatment.

Enclosed in this dataset are transport data of kagome connected artificial spin ice networks composed of permalloy nanowires. The data herein are reproductions of the data seen in Appendix B of the dissertation titled "Magnetotransport of Connected Artificial Spin Ice". Field sweeps with the magnetic field applied in-plane were performed in 5 degree increments for armchair orientation kagome artificial spin ice and zigzag orientation kagome artificial spin ice.

These data files were used for phylogenomic analyses of Darnini and related Membracidae (Hemiptera: Auchenorrhyncha) in the referenced article by Gonzalez-Mozo et al. - The "mem_50p_alignment.fas" file contains the aligned, concatenated nucleotide sequence data for 51 species and 492 genetic loci included in the phylogenetic analyses ("N" indicates missing data and "-" indicates an alignment gap). - The file "Table1.rtf" lists the included species, country of origin and genbank accession number. Species newly sequenced for this study have a Sample ID with prefix "DAR"; previously sequenced species for which data were downloaded from genbank have "NCBI" indicated in the same column of the table. - The file "partition_def.txt" lists the 492 genetic loci included in the alignment with their exact positions indicated by the range of numbers given at the end of each line (e.g., locus "uce-1" occupies positions 1-280 in the alignment). - The substitution model file "mem_50p.model" contains information on the substitution models used in the partitioned maximum likelihood analysis, including the models used for different data partitions and parameter values, as output by the phylogenetic software IQ-TREE. - Individual tree files in Newick format (plain text) are provided for the phylogeny from concatenated analysis with the best likelihood score ("mem_50p_bestLikelihoodScore"), concatenated likelihood analysis with gene concordance factors ("mem_50p_gcf") and site concordance factors ("mem_50p_scf"). - The tree file from the ASTRAL analysis is "mem_50p_astral". - The zip archive entitled “IQ-TREE analysis results.zip” includes output from the maximum likelihood analysis of the concatenated nucleotide sequence data, including the following: (1) main output file “mem_50p.iqtree” summarizing model selection, partitioning schemes, likelihood scores, and run parameters; (2) “mem_50p.mldist” including pairwise ML distances between taxa; (3) “mem_50p.best_scheme.nex” with the best partitioning scheme identified by ModelFinder in NEXUS format and (4) “mem_50p.best_scheme” the RAxM-compatible version of the same file. - The “Ultrafast bootstrap results.zip” zip archive contains: (1) “mem_50p.ufboot” with the bootstrap replicate trees; (2) “mem_50p.contree” with the majority-rule consensus tree with support values; (3) “mem_50p.splits.nex”, with split support values across the replicates; (4) “mem_50p.log” is the log file. - The “gene_trees.zip” zip archive contains the individual gene trees as input for subsequent coalescent gene tree analysis in the phylogenetic program ASTRAL. - The file "DarniniAHE_Character Matrix.csv" contains the data for 6 morphological characters for which the ancestral states were reconstructed using the phylogenetic results from analysis of anchored-hybrid data (see article text for details). - The file "scriptACRDarnini.txt" contains the commands used to reconstruct ancestral morphological characters states using the corHMM 2.8 R package. See the Methods section of the article for more details.

The following files were used to reconstruct the phylogeny of the leafhopper subfamily Deltocephalinae, using IQ-TREE v1.6.12 and ASTRAL v 4.10.5. <b>1) taxon_sampling.csv:</b> contains the sequencing ids (1st column) and the taxonomic information (2nd column) of each sample. Sequencing ids were used in the alignment files and partition files. <b>2)concatenated_nt.phy:</b> concatenated nucleotide alignment used for the maximum likelihood analysis of Deltocephalinae by IQ-TREE v1.6.12. The file lists the sequences of 163,365 nucleotide positions from 429 genes in 730 samples. Hyphens are used to represent gaps. <b>3) concatenated_nt_partition.nex:</b> the partitions for the concatenated nucleotide alignment. The file partitions the 163,365 nucleotide characters into 429 character sets, and defines the best substitution model for each character set. <b>4) concatenated_aa.phy:</b> concatenated amino acid alignment used for the maximum likelihood analysis of Deltocephalinae by IQ-TREE v1.6.12. The file gives the sequences of 53,969 amino acids from 429 genes in 730 samples. Hyphens are used to represent gaps. <b>5) concatenated_aa_partition.nex:</b> the partitions for the concatenated amino acid alignment. The file partitions the 53,969 characters into 429 character sets, and defines the best substitution model for each character set. <b>6) concatenated_nt_106taxa.phy:</b> a reduced concatenated nucleotide alignment representing 107 samples x 86 genes. This alignment is used to estimate the divergence times of Deltocephalinae using MCMCTree in PAML v4.9. The file lists the sequences of 79,239 nucleotide positions from 86 genes in 107 samples. Hyphens are used to represent gaps. <b>7) concatenated_nt_106taxa_partition.nex:</b> the partitions for the nucleotide alignment concatenated_nt_106taxa.phy. The file partitions the 79,239 nucleotide characters into 86 character sets, and defines the best substitution model for each character set. <b>8) individual_gene_alignment.zip:</b> contains 429 FAS files, one for each of the partitioned nucleotide character sets in the concatenated_nt_partition.nex file. 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.

Simulation data related to the paper "Mastitis risk effect on the economic consequences of paratuberculosis control in dairy cattle: A stochastic modeling study"

A 30 year record of the vegetation in sample plots in a woodland in the Chicago area. The changes in these plots over time show how ecological restoration can yield dramatic results.

This repository includes scripts and datasets for the paper, "TreeMerge: A new method for improving the scalability of species tree estimation methods." The latest version of TreeMerge can be downloaded from Github (https://github.com/ekmolloy/treemerge).

We developed and delivered in-person training at local health department offices in six of the seven Illinois Department of Public Health “health regions” between April-May of 2019. Pre-, post-, and six-month follow-up questionnaires on knowledge, attitudes, and practices with regards to tick surveillance were administered to training participants.

Atomic oxygen data from SCIAMACHY, for the MLT, 2002-2012, averaged for 26, 14 day periods, beginning January 1.

This dateset contains data files necessary to replicate figures from "Idealized Particle-Resolved Large-Eddy Simulations to Evaluate the Impact of Emissions Spatial Heterogeneity on CCN Activity" submitted to Atmospheric Chemistry and Physics. Within the compressed folder data.zip are two subdirectories, "processed_data" and "spatial-het". The "processed_data" directory contains netCDF files which contain a subset of simulation output used in figure generation. The "spatial-het" subdirectory contains a .csv file with spatial heterogeneity values computed via an exact algorithm of the spatial heterogeneity metric described by Mohebalhojeh et al. 2025. The subdirectory "sh-patterns" contains .csv files for each emissions scenario. Each entry corresponds to a single grid cell over a domain of dimension 100x100 (lateral resolution of the computational domain employed in this paper). Within scripts.zip are python notebooks for generating figures. Additional python modules are included which contain helper functions for notebooks. Furthermore, a Fortran version of the spatial heterogeneity metric is included alongside shells scripts for creating a python environment in which the code can be compiled and convert into a Python module. Note that the create_env.sh and compile_nsh.sh scripts must be run prior to executing cells in notebooks to make use of the spatial heterogeneity subroutines. <b>*Note*:</b> New in this V2: Following an initial review, an additional figure was requested, which required updates to both data.zip (adding one new NC file: no-heterogeneity_met-vars_subset.nc) and scripts.zip (a minor addition to a Python notebook). A README in PDF format has also been uploaded to provide a summary of the dataset.

These data are the result of a multi-step process aimed at enriching BIBFRAME RDF with linked data. The process takes in an initial MARC XML file, transforms it to BIBFRAME RDF/XML, and then four separate python files corresponding to the BIBFRAME 1.0 model (Work, Instance, Annotation, and Authority) are run over the BIBFRAME RDF/XML output. The input and outputs of each step are included in this data set. Input file types include the CSV; MARC XML; and Master RDF/XML Files. The CSV contain bibliographic identifiers to e-books. From CSVs a set of MARC XML are generated. The MARC XML are utilized to produce the Master RDF file set. The major outputs of the enrichment code produce BIBFRAME linked data as Annotation RDF, Instance RDF, Work RDF, and Authority RDF.

Photographs and video of the snake Compsophis infralineatus predating upon the chameleons Calumma crypticum and Calumma gastrotaenia near Mandraka, Madagascar.