University Library, University of Illinois at Urbana-Champaign

The text file contains the original aligned DNA nucleotide sequence data used in the phylogenetic analyses of Feng et al. (in review), comprising the 3 protein-coding genes (histone H3, cytochrome oxidase I and 2) and 2 ribosomal genes (28S D8 and 16S). The text file is marked up according to the standard NEXUS format commonly used by various phylogenetic analysis software packages. The file will be parsed automatically by a variety of programs that recognize NEXUS as a standard bioinformatics file format. The first six lines of the file identify the file as NEXUS, indicate that the file contains data for 257 taxa (species) and 2995 characters (nucleotide positions), indicate that the characters are DNA sequence, that gaps inserted into the DNA sequence alignment are indicated by a dash, and that missing data are indicated by a question mark. The remainder of the file contains the aligned nucleotide sequence data for the five genes. Data partitions, representing the individual genes and different codon positions of the protein-coding genes, are indicated by the lines beginning "charset" near the end of the file. Two supplementary tables in the provided PDF file provide additional information on the species in the dataset, including the GenBank accession numbers for the sequence data (Table S1) and the DNA substitution models used for each of the data partitions used for analyses in the phylogenetic analysis program IQ-Tree (version 1.6.8) (Table S3), as described in the Methods section of the paper. The supplemental tables will also be linked to the article upon publication at the journal website.

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

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

This is the data used in the paper "Assessment of spatiotemporal flood risk due to compound precipitation extremes across the contiguous United States". Code from the Github repository https://github.com/adtonks/precip_extremes 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.8104252 This dataset is derived from NOAA-CIRES-DOE 20th Century Reanalysis V3. The NOAA-CIRES-DOE Twentieth Century Reanalysis Project version 3 used resources of the National Energy Research Scientific Computing Center managed by Lawrence Berkeley National Laboratory which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231 and used resources of NOAA's Remotely Deployed High Performance Computing Systems.

Trajectory data for Nature Nanotechnology manuscript "DNA double helix, a tiny electromotor" that demonstrates how an electric field applied along the helical axis of a DNA or RNA molecule will generate an electroosmotic flow that causes the duplex to spin about that axis, much like a turbine.

Supplementary data tables for the dissertation "Hybridization dynamics and population genomics of a Manacus hybrid zone." This work focuses on the dynamics of hybridization over time in two species of tropical birds, the golden-collared manakin (Manacus vitellinus) and white-collared manakin (Manacus candei) comparing data from historical museum samples and contemporary wild-caught birds. Table A1 contains the sample metadata for the Manacus Restriction site-associated DNA sequencing dataset used in the dissertation with associated NCBI Biosample Accession numbers, Smithsonian Museum of Natural History number (where applicable), sample IDs, sampling site locations, and sample information of year the sample was taken, age, and sex. Table A6 contains phenotypic measurements of male plumage traits of manakins used in cline analyses to assess hybrid zone movement over time in historical and contemporary datasets, including beard length (mm), epaulet width (mm), tail length (mm), collar color (nm), and belly color (nm). Table A7 contains a summary of male plumage measurements across the hybrid zone. Table C1 contains a list of annotated protein coding genes in candidate regions of interest in Manacus genomes using outlier regions of genomic divergence, linkage disequilibrium, and enrichment of parental private alleles.

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).

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.

This is a dataset from a choice experiment survey on family forest landowner preferences for managing invasive species.

This dataset includes a total of 300 images of 45 extant species of Podocarpus (Podocarpaceae) and nine images of fossil specimens of the morphogenus Podocarpidites. The goal of this dataset is to capture the diversity of morphology within the genus and create an image database for training machine learning models. The images were taken using Airyscan confocal superresolution microscopy at 630x magnification (63x/NA 1.4 oil DIC). The images are in the CZI file format. They can be opened using Zeiss propriety software (Zen, Zen lite) or open microscopy software, such as ImageJ. More information on how to open CZI files can be found here: [https://www.zeiss.com/microscopy/us/products/microscope-software/zen/czi.html#microscope---image-data]

This database provides estimates of agricultural and food commodity flows [in both tons and $US] between the US and China for the year 2017. Pairwise information is provided between US states and Chinese provinces, and US counties and Chinese provinces for 7 Standardized Classification of Transported Goods (SCTG) commodity categories. Additionally, crosswalks are provided to match Harmonized System (HS) codes and China's Multi-Regional Input Output (MRIO) commodity sectors to their corresponding SCTG commodity codes. The included SCTG commodities are: - SCTG 01: Iive animals and fish - SCTG 02: cereal grains - SCTG 03: agricultural products (except for animal feed, cereal grains, and forage products) - SCTG 04: animal feed, eggs, honey, and other products of animal origin - SCTG 05: meat, poultry, fish, seafood, and their preparations - SCTG 06: milled grain products and preparations, and bakery products - SCTG 07: other prepared foodstuffs, fats and oils For additional information, please see the related paper by Pandit et al. (2022) in Environmental Research Letters. ADD DOI WHEN RECEIVED

This dataset is derived from the COCI, the OpenCitations Index of Crossref open DOI-to-DOI references (opencitations.net). Silvio Peroni, David Shotton (2020). OpenCitations, an infrastructure organization for open scholarship. Quantitative Science Studies, 1(1): 428-444. https://doi.org/10.1162/qss_a_00023 We have curated it to remove duplicates, self-loops, and parallel edges. These data were copied from the Open Citations website on May 6, 2023 and subsequently processed to produce a node list and an edge-list. Integer_ids have been assigned to the DOIs to reduce memory and storage needs when working with these data. As noted on the Open Citation website, each record is a citing-cited pair that uses DOIs as persistent identifiers.

Dataset for Food availability influences angling vulnerability in muskellunge

Data and code supporting the paper titled "Estimating the Electric Vehicle Charging Demand of Multi-Unit Dwelling Residents in the United States" by Xi Cheng and Eleftheria Kontou at the University of Illinois Urbana-Champaign. The data and the code enable analytics and assessment of multi-unit dwelling residents travel patterns and their electric vehicle charging demand.

Primary occurrence data for Clem, Hart, & McElrath. 2023. A century of Illinois hover flies (Diptera: Syrphidae): Museum and citizen science data reveal recent range expansions, contractions, and species of potential conservation significance. Included are a license.txt file, the cleaned occurrences from each of the six merged datasets, and a cleaned, merged dataset containing all occurrence records in one spreadsheet, formatted according to Darwin Core standards, with a few extra fields such as GBIF identifiers that were included in some of the original downloads.

Data sets from "DISCO+QR: Rooting Species Trees in the Presence of GDL and ILS." It contains trees and sequences simulated with gene duplication and loss under a variety of different conditions. Note: - trees.tar.gz contains the simulated gene-family trees used in our experiments (both true trees from SimPhy as well as trees estimated from alignments). - alignments.tar.gz contains simulated sequence data used for estimating the gene-family trees

Data and documentation for Ornithological Applications manuscript “Integrating multiple data sources improves prediction and inference for upland game bird occupancy models” by Robert L. Emmet, Thomas J. Benson, Maximilian L. Allen, and Kirk W. Stodola We combined data from the North American Breeding Bird Survey and eBird with a targeted survey (IDNR upland game) to estimate habitat use of northern bobwhite and ring-necked pheasant in Illinois and to document the efficiency and overlap among the various data sources. Data include, eBird, USGS Breeding Bird Survey, National Land Cover Database, Upland game bird surveys, stream data)

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

Bee movement between habitat patches in a naturally fragmented ecosystem depended on species, patch, and matrix variables. Using a mark-recapture methodology in the naturally fragmented Ozark glade ecosystem, we assessed the importance of bee size, nesting biology, the distance between patches (e.g., isolation), and nesting and floral resources in habitat patches and the surrounding matrix on bee movement. This dataset includes seven data files, three R code files, and a QGIS tool. Three of the data files include information collected at the study sites with regard to bees and matrix and patch characteristics. The other four data files are spatial files used to quantify the characteristics of the forest canopy between the study sites and the edge-to-edge distances between the study sites. R code in the R Markdown file recreates the analysis and data presentation for the associated publication. R script files contain processes for calculating some of the explanatory variables used in the analysis. The QGIS tool can be used as the first step to obtaining average values from a raster file where the cells are large relative to the areas of interest (AOI) that you would like to characterize. The second step is contained in one of the aforementioned R scripts. Detected effects included: Larger bees were more likely to move between patches. Bee movement was less likely as the distance between patches increased. However, relatively short distances (~50 m) inhibited movement more than our a priori expectations. Bees were unlikely to move away from home patches with abundant and diverse floral and below-ground nesting resources. When home patches were less resource-rich, bee movement depended on the characteristics of the away patch or the matrix. In these cases, bees were more likely to move to away patches with greater below-ground nesting and floral resources. Matrix habitats with more available floral and below-ground nesting resources appear to impede movement to neighboring patches, potentially because they already provide supplemental resources for bees.

This dataset contains all data used in the paper "Impact of genotype-calling methodologies on genome-wide association and genomic prediction in polyploids". The dataset includes genotypes and phenotypic data from two autotetraploid species Miscanthus sacchariflorus and Vaccinium corymbosum that was used used for genome wide association studies and genomic prediction and the scripts used in the analysis. In this V2, 2 files have the raw data are added: "Miscanthus_sacchariflorus_RADSeq.vcf" is the VCF file with the raw SNP calls of the Miscanthus sacchariflorus data used for genotype calling using the 6 genotype calling methods. "Blueberry_data_read_depths.RData" is the a RData file with the read depth data that was used for genotype calling in the Blueberry dataset.

The salt controversy is the public health debate about whether a population-level salt reduction is beneficial. This dataset covers 82 publications--14 systematic review reports (SRRs) and 68 primary study reports (PSRs)--addressing the effect of sodium intake on cerebrocardiovascular disease or mortality. These present a snapshot of the status of the salt controversy as of September 2014 according to previous work by epidemiologists: The reports and their opinion classification (for, against, and inconclusive) were from Trinquart et al. (2016) (Trinquart, L., Johns, D. M., & Galea, S. (2016). Why do we think we know what we know? A metaknowledge analysis of the salt controversy. International Journal of Epidemiology, 45(1), 251–260. https://doi.org/10.1093/ije/dyv184 ), which collected 68 PSRs, 14 SRRs, 11 clinical guideline reports, and 176 comments, letters, or narrative reviews. Note that our dataset covers only the 68 PSRs and 14 SRRs from Trinquart et al. 2016, not the other types of publications, and it adds additional information noted below. This dataset can be used to construct the inclusion network and the co-author network of the 14 SRRs and 68 PSRs. A PSR is "included" in an SRR if it is considered in the SRR's evidence synthesis. Each included PSR is cited in the SRR, but not all references cited in an SRR are included in the evidence synthesis or PSRs. Based on which PSRs are included in which SRRs, we can construct the inclusion network. The inclusion network is a bipartite network with two types of nodes: one type represents SRRs, and the other represents PSRs. In an inclusion network, if an SRR includes a PSR, there is a directed edge from the SRR to the PSR. The attribute file (report_list.csv) includes attributes of the 82 reports, and the edge list file (inclusion_net_edges.csv) contains the edge list of the inclusion network. Notably, 11 PSRs have never been included in any SRR in the dataset. They are unused PSRs. If visualized with the inclusion network, they will appear as isolated nodes. We used a custom-made workflow (Fu, Y. (2022). Scopus author info tool (1.0.1) [Python]. https://github.com/infoqualitylab/Scopus_author_info_collection ) that uses the Scopus API and manual work to extract and disambiguate authorship information for the 82 reports. The author information file (salt_cont_author.csv) is the product of this workflow and can be used to compute the co-author network of the 82 reports. We also provide several other files in this dataset. We collected inclusion criteria (the criteria that make a PSR eligible to be included in an SRR) and recorded them in the file systematic_review_inclusion_criteria.csv. We provide a file (potential_inclusion_link.csv) recording whether a given PSR had been published as of the search date of a given SRR, which makes the PSR potentially eligible for inclusion in the SRR. We also provide a bibliography of the 82 publications (supplementary_reference_list.pdf). Lastly, we discovered minor discrepancies between the inclusion relationships identified by Trinquart et al. (2016) and by us. Therefore, we prepared an additional edge list (inclusion_net_edges_trinquart.csv) to preserve the inclusion relationships identified by Trinquart et al. (2016). <b>UPDATES IN THIS VERSION COMPARED TO V2</b> (Fu, Yuanxi; Hsiao, Tzu-Kun; Joshi, Manasi Ballal (2022): The Salt Controversy Systematic Review Reports and Primary Study Reports Network Dataset. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6128763_V2) - We added a new column "pub_date" to report_list.csv - We corrected mistakes in supplementary_reference_list.pdf for report #28 and report #80. The author of report #28 is not Salisbury D but Khaw, K.-T., & Barrett-Connor, E. Report #80 was mistakenly mixed up with report #81.

This dataset consists of all the figure files that are part of the main text of the manuscript titled "Magnetic-field sensitive charge density waves in the superconductor UTe2". For detailed information on the individual files refer to the readme file.

The Cline Center Global News Index is a searchable database of textual features extracted from millions of news stories, specifically designed to provide comprehensive coverage of events around the world. In addition to searching documents for keywords, users can query metadata and features such as named entities extracted using Natural Language Processing (NLP) methods and variables that measure sentiment and emotional valence. Archer is a web application purpose-built by the Cline Center to enable researchers to access data from the Global News Index. Archer provides a user-friendly interface for querying the Global News Index (with the back-end indexing still handled by Solr). By default, queries are built using icons and drop-down menus. More technically-savvy users can use Lucene/Solr query syntax via a ‘raw query’ option. Archer allows users to save and iterate on their queries, and to visualize faceted query results, which can be helpful for users as they refine their queries. Additional Resources: - Access to Archer and the Global News Index is limited to account-holders. If you are interested in signing up for an account, please fill out the <a href="https://docs.google.com/forms/d/e/1FAIpQLSf-J937V6I4sMSxQt7gR3SIbUASR26KXxqSurrkBvlF-CIQnQ/viewform?usp=pp_url"><b>Archer Access Request Form</b></a> so we can determine if you are eligible for access or not. - Current users who would like to provide feedback, such as reporting a bug or requesting a feature, can fill out the <a href="https://forms.gle/6eA2yJUGFMtj5swY7"><b>Archer User Feedback Form</b></a>. - The Cline Center sends out periodic email newsletters to the Archer Users Group. Please fill out this <a href="https://groups.webservices.illinois.edu/subscribe/123172"><b>form</b></a> to subscribe to it. <b>Citation Guidelines:</b> 1) To cite the GNI codebook (or any other documentation associated with the Global News Index and Archer) please use the following citation: Cline Center for Advanced Social Research. 2023. Global News Index and Extracted Features Repository [codebook], v1.2.0. Champaign, IL: University of Illinois. June. XX. doi:10.13012/B2IDB-5649852_V5 2) To cite data from the Global News Index (accessed via Archer or otherwise) please use the following citation (filling in the correct date of access): Cline Center for Advanced Social Research. 2023. Global News Index and Extracted Features Repository [database], v1.2.0. Champaign, IL: University of Illinois. Jun. XX. Accessed Month, DD, YYYY. doi:10.13012/B2IDB-5649852_V5 *NOTE: V4 is suppressed and V5 is replacing V4 with updated ‘Archer’ documents.