396 Works

Sorghum bicolor GBS: diversity study II

Patrick Brown
GBS data from diverse sorghum lines. Project funded by DOE, ARPA-E, and startup funds to PJ Brown.

Response of Soil Quality Indictors including β-glucosidase, Fluorescein Diacetate Hydrolysis and Permanganate Oxidizable Carbon

Yushu Xia & Michelle Wander
Dataset compiled by Yushu Xia and Michelle Wander for the Soil Health Institute. Data were recovered from peer reviewed literature reporting results for three soil quality indicators (SQIs) (β-glucosidase (BG), fluorescein diacetate (FDA) hydrolysis, and permanganate oxidizable carbon (POXC)) in terms of their relative response to management where soils under grassland cover, no-tillage, cover crops, residue return and organic amendments were compared to conventionally managed controls. Peer-reviewed articles published between January of 1990 and May...

MapAffil 2018 dataset -- PubMed author affiliations mapped to cities and their geocodes worldwide with extracted disciplines, inferred GRIDs, and assigned ORCIDs

Vetle Torvik
Prepared by Vetle Torvik 2021-05-07 The dataset comes as a single tab-delimited Latin-1 encoded file (only the City column uses non-ASCII characters). • How was the dataset created? The dataset is based on a snapshot of PubMed (which includes Medline and PubMed-not-Medline records) taken in December, 2018. (NLMs baseline 2018 plus updates throughout 2018). Affiliations are linked to a particular author on a particular article. Prior to 2014, NLM recorded the affiliation of the first...

Data for: An Examination of Data Reuse Practices within Highly Cited Articles of Faculty at a Research University

Heidi J Imker, Hoa Luong, William H Mischo, Mary C Schlembach & Chris Wiley
This dataset was developed as part of a study that assessed data reuse. Through bibliometric analysis, corresponding authors of highly cited papers published in 2015 at the University of Illinois at Urbana-Champaign in nine STEM disciplines were identified and then surveyed to determine if data were generated for their article and their knowledge of reuse by other researchers. Second, the corresponding authors who cited those 2015 articles were identified and surveyed to ascertain whether they...

Data from: FastMulRFS: Statistically consistent polynomial time species tree estimation under gene duplication

Erin K. Molloy & Tandy Warnow
This repository includes scripts and datasets for the paper, "FastMulRFS: Fast and accurate species tree estimation under generic gene duplication and loss models." Note: The results from estimating species trees with ASTRID-multi (included in this repository) are *not* included in the FastMulRFS paper. We estimated species trees with ASTRID-multi in the fall of 2019, but ASTRID-multi had an important bug fix in January 2020. Therefore, the ASTRID-multi species trees in this repository should be ignored.

Honeybee F2F event data for The origin of heavy tails in honeybee and human interaction times

Sang Hyun Choi, Vikyath D. Rao, Tim Gernat, Adam R. Hamilton, Gene E. Robinson & Nigel Goldenfeld
Dataset for F2F events of honeybees. F2F events are defined as face-to-face encounters of two honeybees that are close in distance and facing each other but not connected by the proboscis, thus not engaging in trophallaxis. The first and the second columns show the unique id's of honeybees participating in F2F events. The third column shows the time at which the F2F event started while the fourth column shows the time at which it ended....

Trained models for Multilingual Joint Fine-tuning of Transformer models for identifying Trolling, Aggression and Cyberbullying at TRAC 2020

Sudhanshu Mishra, Shivangi Prasad & Shubhanshu Mishra
Models and predictions for submission to TRAC - 2020 Second Workshop on Trolling, Aggression and Cyberbullying Our approach is described in our paper titled: Mishra, Sudhanshu, Shivangi Prasad, and Shubhanshu Mishra. 2020. “Multilingual Joint Fine-Tuning of Transformer Models for Identifying Trolling, Aggression and Cyberbullying at TRAC 2020.” In Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying (TRAC-2020). The source code for training this model and more details can be found on our code...

World Values Survey and World Bank Data for measuring perceptions of expertise in developing nations

Katherine Copas
This dataset include data pulled from the World Bank 2009, the World Values Survey wave 6, Transparency International from 2009. The data were used to measure perceptions of expertise from individuals in nations that are recipients of development aid as measured by the World Bank.

SaltProc output for TAP MSR and MSBR online reprocessing depletion simulations

Andrei Rykhlevskii & Kathryn D. Huff

Tweet IDs annotated for enthusiasm and support towards social causes: CTE, cyberbullying, and LGBT

Shubhanshu Mishra, Sneha Agarwal, Jinlong Guo, Kirstin Phelps , Johna Picco & Jana Diesner
This data has tweets collected in paper Shubhanshu Mishra, Sneha Agarwal, Jinlong Guo, Kirstin Phelps, Johna Picco, and Jana Diesner. 2014. Enthusiasm and support: alternative sentiment classification for social movements on social media. In Proceedings of the 2014 ACM conference on Web science (WebSci '14). ACM, New York, NY, USA, 261-262. DOI: https://doi.org/10.1145/2615569.2615667 The data only contains tweet IDs and the corresponding enthusiasm and support labels by two different annotators.

Data used to construct Table1 and Figs. 2 and 4 in Ainsworth & Long (2020) 30 Years of Free Air Carbon Dioxide Enrichment (FACE): What Have We Learned About Future Crop Productivity and the Potential for Adaptation? Global Change Biology

Stephen Long
Data extracted from Text, Tables and Figures of publications in summarizing crop responses to Free-Air CO2 Elevation (FACE)

RAD-seq genotypes for a Miscanthus sacchariflorus diversity panel

Lindsay Clark, Joyce Njuguna, Xiaoli Jin, Karen Petersen, Kossanou G. Anzoua, Larissa Bagmet, Pavel Chebukin, Martin Deuter, Elena Dzyubenko, Nicolay Dzyubenko, Kweon Heo, Douglas A. Johnson, Uffe Jørgensen, Jens B. Kjeldsen, Hironori Nagano, Junhua Peng, Andrey Sabitov, Toshihiko Yamada, Ji Hye Yoo, Chang Yeon Yu, Stephen P. Long & Erik Sacks
Restriction site-associated DNA sequencing (RAD-seq) data from 643 Miscanthus accessions from a diversity panel, including 613 Miscanthus sacchariflorus, three M. sinensis, and 27 M. xgiganteus. DNA was digested with PstI and MspI, and single-end Illumina sequencing was performed adjacent to the PstI site. Variant and genotype calling was performed with TASSEL-GBSv2, using the Miscanthus sinensis v7.1 reference genome from Phytozome 12 (https://phytozome.jgi.doe.gov). Additional ploidy-aware genotype calling was performed by polyRAD v1.1.

Potential Impacts of Supersonic Aircraft on Stratospheric Ozone and Climate

Jun Zhang, Donald Wuebbles, Douglas Kinnison & Steven Baughcum
This datasets provide basis of our analysis in the paper - Potential Impacts of Supersonic Aircraft on Stratospheric Ozone and Climate. 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.

Bank Elevation Dataset

Bruce Rhoads & Evan Lindroth
Data on bank elevations determined from lidar data for the Upper Sangamon River, Illinois, the Mission River, Texas, and the White River in Indiana

Second-generation citation context analysis (2010-2019) to retracted paper Matsuyama 2005

Jodi Schneider & Di Ye
Citation context annotation. This is part of the supplemental data for Jodi Schneider, Di Ye, Alison Hill, and Ashley Whitehorn. "Continued Citation of a Fraudulent Clinical Trial Report, Eleven Years after it was retracted for Falsifying Data" [R&R under review with Scientometrics]. Publications were selected by examining all citations to the retracted paper Matsuyama 2005, and selecting the 35 citing papers, published 2010 to 2019, which do not mention the retraction, but which mention the...

Citation context annotation for new and newly found citations (2006-2019) to retracted paper Matsuyama 2005

Di Ye, Alison Hill, Ashley Whitehorn (Fulton) & Jodi Schneider
Citation context annotation for papers citing retracted paper Matsuyama 2005 (RETRACTED: Matsuyama W, Mitsuyama H, Watanabe M, Oonakahara KI, Higashimoto I, Osame M, Arimura K. Effects of omega-3 polyunsaturated fatty acids on inflammatory markers in COPD. Chest. 2005 Dec 1;128(6):3817-27.), retracted in 2008 (Retraction in: Chest (2008) 134:4 (893) https://doi.org/10.1016/S0012-3692(08)60339-6 ). This is part of the supplemental data for Jodi Schneider, Di Ye, Alison Hill, and Ashley Whitehorn. "Continued Citation of a Fraudulent Clinical Trial...

Data from: Classical Topological Order in the Kinetics of Artificial Spin Ice

Yuyang Lao, Francesco Caravelli, Mohammed Sheikh, Joseph Sklenar, Daniel Gardeazabal, Justin D. Watts, Alan M. Albrecht, Andreas Scholl, Karin Dahmen, Cristiano Nisoli & Peter Schiffer
The dataset includes the data used in the study of Classical Topological Order in the Kinetics of Artificial Spin Ice. This includes the photoemission electron microscopy intensity measurement of artificial spin ice at different temperatures as a function of time. The data includes the raw data, the metadata, and the data cookbook. Please refer to the data cookbook for more information. Note: vertex_population.xlsx file in the meta_data_code folder can be disregarded.

Python code for cost estimation of harvesting uranium from seawater and geospatial comparison of adsorbent performance

Katherine C. Hepler

Targeted ballet program mitigates ataxia and improves agility in moderate-to-advanced multiple sclerosis

Andrew Scheidler, Dominique Kinnett-Hopkins, Yvonne Learmonth, Robert Motl & Citlali Lopez-Ortiz
TBP assessment raw data files of pre- and post- motion capture velocity and center of pressure force plate data. Labels are self-explanatory. The .mat files refer to data exported from the force plate for the time-to-stabilization assessments while the .txt files are the data collected for smoothness of gait assessments. These files do not relate to one another and are from separate assessments. Version2's files are the result from using Python code Data_Bank_Cleaner.py on version1's....

Trust in Science as a Deterrent and a Facilitator of Belief in Conspiracy Theories: Pseudoscience Preys on Audiences that Trust in Science

Ryan Palmer & Dolores Albarracin

Dataset: Ultra-sensitivity of Numerical Landscape Evolution Models to their Initial Conditions

Jeffrey Kwang & Gary Parker
This dataset contains experimental measurements used in the paper, "Ultra-sensitivity of Numerical Landscape Evolution Models to their Initial Conditions." (to be submitted). The data is taken from experimental runs in a miniature landscape model named the eXperimental Landscape Evolution (XLE) facility. In this facility, we complete five >24hr runs at 5 minute temporal resolution. Every five minutes, an planform image was capture, and a digital elevation model (DEM) was generated. For each run, images and...

Data from Species Distribution, Phylogenetic Structure, and Functional Roles of Detritius Inhabiting Fungi Across Contrasting Aquatic Environments

Andrew Miller & Daniel Raudabaugh
This dataset contains the data files for the PhD thesis entitled: Species Distribution, Phylogenetic Structure and Functional Roles of Detritus Inhabiting Fungi Across Contrasting Aquatic Environments by Daniel Bruce Raudabaugh. More specifically, it contains the forward Illumina reads for ITS1, ITS2, Beta-tubulin and LSU in addition to the index files and map files needed to process the reads in QIIME 1.9.1. The sequences represent environmental sequencing from detrital samples from Black Moshannon State park (Pennsylvania),...

Honeybee trophallaxis event data for The origin of heavy tails in honeybee and human interaction times

Sang Hyun Choi, Vikyath Rao, Tim Gernat, Adam Hamilton, Gene Robinson & Nigel Goldenfeld
Filtered trophallaxis interactions for two honeybee colonies, each containing 800 worker bees and one queen. Each colony consists of bees that were administered a juvenile hormone analogy, a vehicle treatment, or a sham treatment to determine the effect of colony perturbation on the duration of trophallaxis interactions. Columns one and two display the unique identifiers for each bee involved in a particular trophallaxis exchange, and columns three and four display the Unix timestamp of the...

Monet - Blue Waters Network Dataset

Jha Saurabh, Patke Archit, Showerman Mike, Enos Jeremy, Bauer Greg, Kalbarczyk Zbigniew, Iyer Ravishankar & Kramer William
This dataset contains collected and aggregated network information from NCSA’s Blue Waters system, which is comprised of 27,648 nodes connected via Cray Gemini* 3D torus (dimension 24x24x24) interconnect, from Jan/01/2017 to May/31/2017. Network performance counters for links are exposed via Cray's gpcdr (https://github.com/ovis-hpc/ovis/wiki/gpcdr-kernel-module) kernel module. Lightweight Distributed Metric Service ([LDMS](https://github.com/ovis-hpc/ovis)) is used to sampled the performance counters at 60 second intervals. Please read "README.md" file. Acknowledgement: This dataset is collected as a part of the...

Data for: A molecular phylogenetic analysis of the genera of fruit doves and their allies using dense taxonomic sampling

Jennifer E. Nowak, Andrew D. Sweet, Jason D. Weckstein & Kevin P. Johnson
Multiple sequence alignments from concatenated nuclear and mitochondrial genes and resulting phylogenetic tree files of fruit doves and their close relatives. Files include: BEAST input XML file (fruit_dove_beast_input.xml); a maximum clade credibility tree from a BEAST analysis (fruit_dove_beast_mcc.tre); concatenated multiple sequence alignment NEXUS files for the novel dataset (fruit_dove_concatenated_alignment.nex, 76 taxa, 4,277 characters) and the dataset with additional sequences (fruit_dove_plus_cibois_data_concatenated_alignment.nex, 204 taxa, 4,277 characters), both of which contain a MrBayes block including partition information; and...

Registration Year

  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016

Resource Types

  • Dataset


  • University of Illinois