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Illinois Data Bank Dataset Search Results
Dataset Search Results
published: 2023-01-01
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.
keywords:
Auchenorrhyncha, Cicadomorpha, Membracoidea, anchored hybrid enrichment
published: 2023-07-28
Njuguna, Joyce; Clark, Lindsay; Lipka , Alexander; Anzoua, Kossonou; Bagmet, Larisa; Chebukin, Pavel; Dwiyanti, Maria; Dzyubenko, Elena; Dzyubenko, Nicolay; Ghimire, Bimal; Jin, Xiaoli; Johnson, Douglas; Nagano, Hironori; Peng, Junhua; Petersen, Karen; Sabitov, Andrey; Seong, Eun; Yamada, Toshihiko; Yoo, Ji; Yu, Chang; Zhao, Hu; Long, Stephen; Sacks, Erik (2023): Data for Genome-wide association and genomic prediction for yield and component traits of Miscanthus sacchariflorus. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6439486_V1
The dataset is for a study conducted to understand genome-wide association (GWA) and genomic prediction of biomass yield and 14 yield-components traits in Miscanthus sacchariflorus. We evaluated a diversity panel with 590 accessions of M. sacchariflorus grown across four years in one subtropical and three temperate locations and genotyped with 268,109 single nucleotide polymorphisms (SNPs).
keywords:
Miscanthus sacchariflorus; genome-wide association analysis; genomic prediction; bioenergy; biomass
published: 2023-01-16
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"
published: 2023-04-06
Yao, Lehan; Lyu, Zhiheng; Li, Jiahui; Chen, Qian (2023): Data for Unsupervised Sinogram Inpainting for Nanoparticle Electron Tomography (UsiNet) for missing wedge correction. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-7963044_V1
Example data for https://github.com/chenlabUIUC/UsiNet The data contains computer simulated and experimental tilting series (or sinograms) of gold nanoparticles. Two training data examples are provided: 1. simulated_data.zip 2. experimental_data.zip In each zip folder, we include an image_data.zip and a training_data.zip. The former is for viewing and only the latter is needed for model training. For more details, please refer to our GitHub repository.
keywords:
electron tomography; deep learning
published: 2023-06-01
Trapp, Robert (2023): tornado-PGW. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4479773_V1
published: 2023-07-26
Kantola, Ilsa B; Blanc-Betes, Elena; Masters, Michael; Chang, Elliot; Marklein, Alison; Moore, Caitlin; von Haden, Adam; Bernacchi, Carl; Wolf, Adam; Epihov, Dimitar; Beerling, David; DeLucia, Evan (2023): Data for Improved Net Carbon Budgets in the US Midwest through Direct Measured Impacts of Enhanced Weathering. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-1917166_V1
This data set contains data used for “Improved Net Carbon Budgets in the US Midwest through Direct Measured Impacts of Enhanced Weathering.” Data include biomass, soil bulk densities, soil respiration measurements, soil lanthanide element analysis, plant tissue analysis for major cations, and eddy covariance fluxes.
keywords:
agriculture; bioenergy crop; carbon budget; eddy covariance; net ecosystem carbon balance; net primary production; soil respiration; enhanced weathering; carbon dioxide removal; Illinois
published: 2023-07-14
Schneider, Jodi; Das, Susmita; Léveillé, Jacqueline ; Proescholdt, Randi (2023): Data for Post-retraction citation: A review of scholarly research on the spread of retracted science. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-3254797_V1
Data for Post-retraction citation: A review of scholarly research on the spread of retracted science Schneider, Jodi; Das, Susmita; Léveillé, Jacqueline; Proescholdt, Randi Contact: Jodi Schneider jodi@illinois.edu & jschneider@pobox.com ********** OVERVIEW ********** This dataset provides further analysis for an ongoing literature review about post-retraction citation. This ongoing work extends a poster presented as: Jodi Schneider, Jacqueline Léveillé, Randi Proescholdt, Susmita Das, and The RISRS Team. Characterization of Publications on Post-Retraction Citation of Retracted Articles. Presented at the Ninth International Congress on Peer Review and Scientific Publication, September 8-10, 2022 hybrid in Chicago. https://hdl.handle.net/2142/114477 (now also in https://peerreviewcongress.org/abstract/characterization-of-publications-on-post-retraction-citation-of-retracted-articles/ ) Items as of the poster version are listed in the bibliography 92-PRC-items.pdf. Note that following the poster, we made several changes to the dataset (see changes-since-PRC-poster.txt). For both the poster dataset and the current dataset, 5 items have 2 categories (see 5-items-have-2-categories.txt). Articles were selected from the Empirical Retraction Lit bibliography (https://infoqualitylab.org/projects/risrs2020/bibliography/ and https://doi.org/10.5281/zenodo.5498474 ). The current dataset includes 92 items; 91 items were selected from the 386 total items in Empirical Retraction Lit bibliography version v.2.15.0 (July 2021); 1 item was added because it is the final form publication of a grouping of 2 items from the bibliography: Yang (2022) Do retraction practices work effectively? Evidence from citations of psychological retracted articles http://doi.org/10.1177/01655515221097623 Items were classified into 7 topics; 2 of the 7 topics have been analyzed to date. ********************** OVERVIEW OF ANALYSIS ********************** DATA ANALYZED: 2 of the 7 topics have been analyzed to date: field-based case studies (n = 20) author-focused case studies of 1 or several authors with many retracted publications (n = 15) FUTURE DATA TO BE ANALYZED, NOT YET COVERED: 5 of the 7 topics have not yet been analyzed as of this release: database-focused analyses (n = 33) paper-focused case studies of 1 to 125 selected papers (n = 15) studies of retracted publications cited in review literature (n = 8) geographic case studies (n = 4) studies selecting retracted publications by method (n = 2) ************** FILE LISTING ************** ------------------ BIBLIOGRAPHY ------------------ 92-PRC-items.pdf ------------------ TEXT FILES ------------------ README.txt 5-items-have-2-categories.txt changes-since-PRC-poster.txt ------------------ CODEBOOKS ------------------ Codebook for authors.docx Codebook for authors.pdf Codebook for field.docx Codebook for field.pdf Codebook for KEY.docx Codebook for KEY.pdf ------------------ SPREADSHEETS ------------------ field.csv field.xlsx multipleauthors.csv multipleauthors.xlsx multipleauthors-not-named.csv multipleauthors-not-named.xlsx singleauthors.csv singleauthors.xlsx *************************** DESCRIPTION OF FILE TYPES *************************** BIBLIOGRAPHY (92-PRC-items.pdf) presents the items, as of the poster version. This has minor differences from the current data set. Consult changes-since-PRC-poster.txt for details on the differences. TEXT FILES provide notes for additional context. These files end in .txt. CODEBOOKS describe the data we collected. The same data is provided in both Word (.docx) and PDF format. There is one general codebook that is referred to in the other codebooks: Codebook for KEY lists fields assigned (e.g., for a journal or conference). Note that this is distinct from the overall analysis in the Empirical Retraction Lit bibliography of fields analyzed; for that analysis see Proescholdt, Randi (2021): RISRS Retraction Review - Field Variation Data. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-2070560_V1 Other codebooks document specific information we entered on each column of a spreadsheet. SPREADSHEETS present the data collected. The same data is provided in both Excel (.xlsx) and CSV format. Each data row describes a publication or item (e.g., thesis, poster, preprint). For column header explainations, see the associated codebook. ***************************** DETAILS ON THE SPREADSHEETS ***************************** field-based case studies CODEBOOK: Codebook for field --REFERS TO: Codebook for KEY DATA SHEET: field REFERS TO: Codebook for KEY --NUMBER OF DATA ROWS: 20 NOTE: Each data row describes a publication/item. --NUMBER OF PUBLICATION GROUPINGS: 17 --GROUPED PUBLICATIONS: Rubbo (2019) - 2 items, Yang (2022) - 3 items author-focused case studies of 1 or several authors with many retracted publications CODEBOOK: Codebook for authors --REFERS TO: Codebook for KEY DATA SHEET 1: singleauthors (n = 9) --NUMBER OF DATA ROWS: 9 --NUMBER OF PUBLICATION GROUPINGS: 9 DATA SHEET 2: multipleauthors (n = 5 --NUMBER OF DATA ROWS: 5 --NUMBER OF PUBLICATION GROUPINGS: 5 DATA SHEET 3: multipleauthors-not-named (n = 1) --NUMBER OF DATA ROWS: 1 --NUMBER OF PUBLICATION GROUPINGS: 1 ********************************* CRediT <http://credit.niso.org> ********************************* Susmita Das: Conceptualization, Data curation, Investigation, Methodology Jaqueline Léveillé: Data curation, Investigation Randi Proescholdt: Conceptualization, Data curation, Investigation, Methodology Jodi Schneider: Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project administration, Supervision
keywords:
retraction; citation of retracted publications; post-retraction citation; data extraction for scoping reviews; data extraction for literature reviews;
published: 2016-12-12
Zhang, Qian; Chunyan, Li; Braud, Dewitt (2016): LIDAR data for the Wax Lake delta. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-3764213_V1
This dataset is about a topographic LIDAR survey (saved in “waxlake-lidar.img”) that was conducted over the Wax Lake delta, between longitudes −91.5848 to −91.292 degrees, and latitudes 29.3647 to 29.6466 degrees. Different from other elevation data, the positive value in the LIDAR data indicates land elevation, while the zero value implies riverbed without identifying specific water depth.
keywords:
LIDAR; Wax Lake delta
published: 2022-12-11
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.
keywords:
Heterodera glycines; Meloidogyne incognita; Burt Endo; nematode
published: 2023-01-05
Tonks, Adam (2023): Data for the paper "Forecasting West Nile Virus with Graph Neural Networks: Harnessing Spatial Dependence in Irregularly Sampled Geospatial Data". University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-3628170_V1
This is the data used in the paper "Forecasting West Nile Virus with Graph Neural Networks: Harnessing Spatial Dependence in Irregularly Sampled Geospatial Data". A preprint may be found at https://doi.org/10.48550/arXiv.2212.11367 Code from the Github repository https://github.com/adtonks/mosquito_GNN can be used with the data here to reproduce the paper's results. v1.0.0 of the code is also archived at https://doi.org/10.5281/zenodo.7897830
keywords:
west nile virus; machine learning; gnn; mosquito; trap; graph neural network; illinois; geospatial
published: 2021-05-01
Cheng, Ti-Chung; Li, Tiffany Wenting; Karahalios, Karrie; Sundaram, Hari (2021): Dataset for '“I can show what I really like.”: Eliciting Preferences via Quadratic Voting'. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-1928463_V1
This is the first version of the dataset. This dataset contains anonymize data collected during the experiments mentioned in the publication: “I can show what I really like.”: Eliciting Preferences via Quadratic Voting that would appear in April 2021. Once the publication link is public, we would provide an update here. These data were collected through our open-source online systems that are available at (experiment1)[https://github.com/a2975667/QV-app] and (experiment 2)[https://github.com/a2975667/QV-buyback] There are two folders in this dataset. The first folder (exp1_data) contains data collected during experiment 1; the second folder (exp2_data) contains data collected during experiment 2.
keywords:
Quadratic Voting; Likert scale; Empirical studies; Collective decision-making
published: 2023-12-06
Starbuck, Clarissa; DeSchepper, Logan; Hoggatt, Meredith; O'Keefe, Joy (2023): Data for Tradeoffs in sound quality and cost for passive acoustic devices. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4200947_V1
This dataset accompanies an article published in the journal Bioacoustics: "Tradeoffs in sound quality and cost for passive acoustic devices", https://doi.org/10.1080/09524622.2023.2290715. The dataset contains measurements for acoustic call files for free-flying bats simultaneously recorded on both Audiomoth and Anabat Swift passive acoustic recording devices in a conservation area in northeastern Missouri, USA. We paired calls from the two devices and compared indicators of recording quality measured in a proprietary program (Bat Call Identification Software). The dataset also contains a file enumerating the proportions of calls classified as low frequency, mid frequency, or Myotis (three phonic groups) for each type of recording device. The data were used to compare the quality and sensitivity of the two devices. The scripts for modeling procedures and figures are included in the dataset.
keywords:
Bats; echolocation; passive acoustic monitoring; sensors
published: 2022-01-30
Bakken, George; Tillman, Francis; O'Keefe, Joy (2022): Data for "Methods for assessing artificial thermal refuges: spatiotemporal analysis more informative than averages". University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-9980397_V1
This dataset contains temperature measurements in four different bat box designs deployed in central Indiana, USA from May to September 2018. Hourly environmental data (temperature, solar radiation, and wind speed) are also included for days and hours sampled. Bat box temperature data were used as inputs in a free program, GNU Octave, to assess design performance with respect to suitability indices for endothermic metabolism and pup development. Scripts are included in the dataset.
keywords:
bats;thermal refuge;reproduction;conservation;bat box;microclimate
published: 2023-07-11
Parulian, Nikolaus (2023): Data for A Conceptual Model for Transparent, Reusable, and Collaborative Data Cleaning. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6827044_V1
The dissertation_demo.zip contains the base code and demonstration purpose for the dissertation: A Conceptual Model for Transparent, Reusable, and Collaborative Data Cleaning. Each chapter has a demo folder for demonstrating provenance queries or tools. The Airbnb dataset for demonstration and simulation is not included in this demo but is available to access directly from the reference website. Any updates on demonstration and examples can be found online at: https://github.com/nikolausn/dissertation_demo
published: 2023-12-08
Preza Fontes, Giovani; Greer, Kristin; Pittelkow, Cameron (2023): Data for Does biochar increase nitrogen use efficiency in maize?. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-8987372_V1
A two-year field study was conducted to test the hypothesis that biochar application increases inorganic soil N availability during maize growth, leading to higher grain yields and N recovery efficiency while reducing the risk of N leaching following harvest. Four N fertilizer rates (0, 90, 179, and 269 kg ha-1 as urea ammonium nitrate solution) were applied with or without biochar (10 Mg ha-1) before maize planting each year. This dataset contains selected summary statistics (average and standard deviation) on soil and plant measurements. This file package also includes a readme.txt file that describes the data in detail, including attribute descriptions.
keywords:
biochar; nitrogen fertilizer; nitrogen use efficiency; corn yield, soil inorganic nitrogen; nitrate leaching
published: 2023-03-24
Zhang, Jun (2023): Potential Impacts on Ozone and Climate from a Proposed Fleet of Supersonic Aircraft. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-0038951_V1
This datasets provide basis of our analysis in the paper - Potential Impacts on Ozone and Climate from a Proposed Fleet of Supersonic Aircraft. 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: 2023-07-05
Dalling, James William; Norden, Natalia (2023): La Planada Forest Dynamics Plot soils dataset. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6140727_V1
Complete soils dataset for the La Planada forest dynamics plot associated with publication: John et al. (2007) "Soil nutrients influence the spatial distributions of tropical tree species" PNAS 104:864-869 www.pnas.org/cgi/doi/10.1073/pnas.0604666104
keywords:
tropical forest soil; montane forest; cation availability; spatial distribution of tree species
published: 2023-07-06
Schneider, Amy; Suski, Cory; Esbaugh, Andrew (2023): Dataset for Silver carp experience metabolic and behavioral changes when exposed to water from the Chicago Area Waterway; implications for upstream movement. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-0037727_V1
published: 2024-02-25
Coshic, Kush; Maffeo, Christopher; Winogradoff, David; Aksimentiev, Aleksei (2024): Select trajectories, simulation setup, and analysis for "The structure and physical properties of a packaged bacteriophage particle". University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4930709_V1
Simulation trajectory data and scripts for Nature manuscript "The structure and physical properties of a packaged bacteriophage particle" that reports the all-atom structure of a complete HK97 virion, including its entire 39,732 base pair genome, obtained through multi-resolution simulations.
keywords:
Virus capsid; Bacteriophage packaging; Multiresolution simulations; all-atom MD simulation
published: 2024-01-31
Wang, Xiudan; Dietrich, Christopher; Zhang, Yalin (2024): Datasets for Phylogeny and historical biogeography of leafhopper subfamily Coelidiinae (Hemiptera: Cicadellidae) based on morphological and molecular data . University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-5847605_V1
The included files were used to reconstruct the phylogeny of Coelidiinae using combined morphological and molecular data, estimate divergence times and reconstruct ancestral biogeographic areas as described in the manuscript submitted for publication. The file “Coelidiinae_dna_morph_combined.nex” is a text file in standard NEXUS format used by various phylogenetic analysis programs. This file includes the aligned and concatenated nucleotide sequences or five gene regions (mitochondrial COI and 16S, and nuclear 28S D-2, histone H3, histone H2A and wingless) indicated by standard “ACGT” nucleotide symbols with missing data indicated by “?”, and morphological character data as defined in Table S3 used in the analyses. The data partitions are indicated toward the end of the file by ranges of numbers (“charset Subset 1 – 4” for the DNA data and “charset morph” for the morphological characters) followed by commands for the phylogenetic analysis program MrBayes that specify the model settings for each data partition. Detailed data on species included (as rows) in the dataset, including collection localities and GenBank accession numbers are provided in the Table_S1_Specimen_information.csv file. The file "TablesS2-S4.pdf" lists the primers used for polymerase chain reaction amplification, the list of morphological character definitions, and the morphological character matrix. The file “RASP_Distribution.csv” contains a list of the species included in the phylogenetic dataset (first column) and a code (second column) indicating their distributions as follows: (A) Oriental, (B) Palaearctic, (C) Australian, (D) Afrotropical, (E) Neotropical, and (F) Nearctic. More than one letter indicates that the species occurs in more than one region. The file "infile_for_BEAST.txt" is the input file in XML format used for the molecular divergence time analysis using the program BEAST (Bayesian Evolutionary Analysis by Sampling Trees) as described in the Methods section of the manuscript. This file includes comments that document the steps of the analysis.
keywords:
leafhopper; phylogeny; DNA sequence; insect; timetree; biogeography
published: 2020-12-29
Viana, Jéssica; Turner, Benjamin; Dalling, James (2020): Fern functional traits. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-8724462_V1
Three datasets: species_abundance_data, species_traits, and environmental_data. The three datasets were collected in the Fortuna Forest Reserve (8°45′ N, 82°15′ W) and Palo Seco Protected Forest (8°45′ N, 82°13′ W) located in western Panama. The two reserves support humid to super-humid rainforests, according to Holdridge (1947). The species_abundance_data and species_traits datasets were collected across 15 subplots of 25 m2 in 12 one-hectare permanent plots distributed across the two reserves. The subplots were spaced 20 m apart along three 5 m wide transects, each 30 m apart. Please read Prada et al. (2017) for details on the environmental characteristics of the study area. Prada CM, Morris A, Andersen KM, et al (2017) Soils and rainfall drive landscape-scale changes in the diversity and functional composition of tree communities in a premontane tropical forest. J Veg Sci 28:859–870. https://doi.org/10.1111/jvs.12540
keywords:
functional traits; plants; ferns; environmental data; Fortuna; species data; community ecology
published: 2019-09-17
Mishra, Shubhanshu (2019): Trained models for multi-task multi-dataset learning for text classification in tweets. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-1917934_V1
Trained models for multi-task multi-dataset learning for text classification in tweets. Classification tasks include sentiment prediction, abusive content, sarcasm, and veridictality. Models were trained using: <a href="https://github.com/socialmediaie/SocialMediaIE/blob/master/SocialMediaIE/scripts/multitask_multidataset_classification.py">https://github.com/socialmediaie/SocialMediaIE/blob/master/SocialMediaIE/scripts/multitask_multidataset_classification.py</a> See <a href="https://github.com/socialmediaie/SocialMediaIE">https://github.com/socialmediaie/SocialMediaIE</a> and <a href="https://socialmediaie.github.io">https://socialmediaie.github.io</a> for details. If you are using this data, please also cite the related article: Shubhanshu Mishra. 2019. Multi-dataset-multi-task Neural Sequence Tagging for Information Extraction from Tweets. In Proceedings of the 30th ACM Conference on Hypertext and Social Media (HT '19). ACM, New York, NY, USA, 283-284. DOI: https://doi.org/10.1145/3342220.3344929
keywords:
twitter; deep learning; machine learning; trained models; multi-task learning; multi-dataset learning; sentiment; sarcasm; abusive content;
published: 2021-06-08
Todd, Jones; Michael, Ward (2021): Jones and Ward JAE-2020-0031.R1. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6218430_V1
Dataset associated with Jones and Ward JAE-2020-0031.R1 submission: Pre-to post-fledging carryover effects and the adaptive significance of variation in wing development for juvenile songbirds. Excel CSV files with data used in analyses and file with descriptions of each column. The flight ability variable in this dataset was derived from fledgling drop tests, examples of which can be found in the related dataset: Jones, Todd M.; Benson, Thomas J.; Ward, Michael P. (2019): Flight Ability of Juvenile Songbirds at Fledgling: Examples of Fledgling Drop Tests. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-2044905_V1.
keywords:
fledgling; wing development; life history; adaptive significance; post-fledging; songbirds
published: 2021-11-23
Riemer, Nicole; Yao, Yu; Dawson, Matthew; Dabdub, Donald (2021): Data for: Evaluating the impacts of cloud processing on resuspended aerosol particles after cloud evaporation using a particle-resolved model. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-8367769_V2
This dataset contains simulation results from PartMC-MOSAIC-CAPRAM used in the article ”Eval- uating the impacts of cloud processing on resuspended aerosol particles after cloud evaporation using a particle-resolved model”. In this V2, there are eight folders: one for urban plume simulation to provide the initial particle population for cloud processing, the other four folders are for the four cloud cycles simulated and the last two are for the coagulation cases. Within the urban plume simulation, there are 25 NetCDF files hourly output from PartMC-MOSAIC simulations containing the gas and particle information. Within the four cloud cycle folders, there are 25 subdirectories that contain the cloud processing results for aerosol population from urban plume environment. For each subdirectory, there are 31 NetCDF files out- put every minute from PartMC-MOSAIC-CAPRAM simulations containing aerosol and gas information after aqueous chemistry. Another two folders are for the cases considering Brownian coagulation and sedimentation coalescence. Each contained 93 NetCDF files, produced from repeating the 30-minutes simulations for three times to consider the coagulation randomness. The low polluted case folder includes the simulated cloud processing results for 25 urban plume cases with less aerosol number concentration. This dataset was used to investigate the effects of cloud processing on aerosol mixing state and CCN properties.
keywords:
cloud process; coagulation; aqueous chemistry; aerosol mixing state; CCN
published: 2022-10-22
Madhavan, Vidya; Aishwarya, Anuva (2022): Data for Evidence for a robust sign-changing s-wave order parameter in monolayer films of superconducting Fe(Se,Te)/Bi2Te3. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6972172_V1
This dataset consists of all the files that are part of the manuscript titled "Evidence for a robust sign-changing s-wave order parameter in monolayer films of superconducting Fe(Se,Te)/Bi2Te3". For detailed information on the individual files refer to the readme file.
keywords:
thin film; mbe; topology; superconductivity; topological insulator; stm; spectroscopy; qpi