75 Works

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....

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...

Data for STREETS: A Novel Camera Network Dataset for Traffic Flow

Corey Snyder & Minh Do
This dataset accompanies the paper "STREETS: A Novel Camera Network Dataset for Traffic Flow" at Neural Information Processing Systems (NeurIPS) 2019. Included are: *Over four million still images form publicly accessible cameras in Lake County, IL. The images were collected across 2.5 months in 2018 and 2019. *Directed graphs describing the camera network structure in two communities in Lake County. *Documented non-recurring traffic incidents in Lake County coinciding with the 2018 data. *Traffic counts for...

Dataset of 3D fluid phase distribution from drainage simulations (in micromodel and real rock geometry) examining inertial effects

Yu Chen, Qinjun Kang, Albert Valocchi & Hari Viswanathan
The dataset contains fluid phase distribution obtained from high-resolution drainage simulations in both a heterogenous micromodel and Bentheimer sandstone. The purpose is to investigate the influence of inertial effects on scCO2-brine displacement in complex geometries, where scCO2 is much less viscous than brine or oil meaning that the inertial effects may not be negligible. The direct numerical simulations in this work employ the continuum-surface-force based color-gradient multiple-relaxation-time lattice Boltzmann model combined with a geometrical wetting...

Data from: Consequences of climatic thresholds for projecting fire activity and ecological change

Adam M. Young, Philip E. Higuera, John T. Abatzoglou, Paul A. Duffy & Feng Sheng Hu
Aim: Ecological properties governed by threshold relationships can exhibit heightened sensitivity to climate, creating an inherent source of uncertainty when anticipating future change. We investigated the impact of threshold relationships on our ability to project ecological change outside the observational record (e.g., the 21st century), using the challenge of predicting late‐Holocene fire regimes in boreal forest and tundra ecosystems. Location: Boreal forest and tundra ecosystems of Alaska. Time period: 850–2100 CE. Major taxa studied: Not...

Data from: Weighting effective number of species measures by abundance weakens detection of diversity responses

Yong Cao & Charles Patrick Hawkins
1. The effective number of species (ENS) has been proposed as a robust measure of species diversity that overcomes several shortcomings of both diversity indices and species richness measures. However, it is not yet clear if ENS improves interpretation and comparison of biodiversity monitoring data, and ultimately resource management decisions. 2. We used simulations of five stream macroinvertebrate assemblages and spatially extensive field data of stream fishes and mussels to show (1) how different ENS...

Data from: Looking back to look ahead: a vision for soil denitrification research

Maya Almaraz, Michelle Wong & Wendy Yang
Denitrification plays a critical role in regulating ecosystem nutrient availability and anthropogenic reactive nitrogen (N) production. Its importance has inspired an increasing number of studies, yet it remains the most poorly constrained term in terrestrial ecosystem N budgets. We censused the peer-reviewed soil denitrification literature (1975 to 2015) to identify opportunities for future studies to advance our understanding despite the inherent challenges in studying the process. We found that only one-third of studies reported estimates...

Correlation Between Soil Quality Indictors including β-glucosidase, Fluorescein Diacetate Hydrolysis and Permanganate Oxidizable Carbon, and Ecosystem Functions represented by Crop Productivity and Greenhouse Gas Emissions

Yushu Xia & Michelle Wander
We summarize peer reviewed literature reporting associations between for three soil quality indicators (SQIs) (β-glucosidase (BG), fluorescein diacetate (FDA) hydrolysis, and permanganate oxidizable carbon (POXC)) and crop yield and greenhouse gas emissions. Peer-reviewed articles published between January of 1990 and May 2018 were searched using the Thomas Reuters Web of Science database (Thomas Reuters, Philadelphia, Pennsylvania) and Google Scholar to identify studies reporting results for: “β-glucosidase”, “permanganate oxidizable carbon”, “active carbon”, “readily oxidizable carbon”, or...

Cline Center Historical Phoenix Event Data. Cline Center for Advanced Social Research. v1.1.0. August 30

Scott Althaus, Joseph Bajjalieh, John Carter, Buddy Peyton & Dan Shalmon
The Cline Center Historical Phoenix Event Data covers the period 1945-2018 and includes several million events extracted from 17.5 million news stories. This data was produced using the state-of-the-art PETRARCH-2 software to analyze content from the New York Times (1945-2019), the BBC Monitoring's Summary of World Broadcasts (1979-2015) and the Central Intelligence Agency’s Foreign Broadcast Information Service (1995-2004). It documents the agents, locations, and issues at stake in a wide variety of conflict, cooperation and...

Cline Center Historical Phoenix Event Data. Cline Center for Advanced Social Research. v1.2.0. December 10

Scott Althaus, Joseph Bajjalieh, John Carter, Buddy Peyton & Dan Shalmon
The Cline Center Historical Phoenix Event Data covers the period 1945-2019 and includes several million events extracted from 18.9 million news stories. This data was produced using the state-of-the-art PETRARCH-2 software to analyze content from the New York Times (1945-2018), the BBC Monitoring's Summary of World Broadcasts (1979-2019) and the Central Intelligence Agency’s Foreign Broadcast Information Service (1995-2004). It documents the agents, locations, and issues at stake in a wide variety of conflict, cooperation and...

Avian fitness consequences and habitat selection

Bryan Reiley
Nest survival and Fledgling production data for Bell's Vireo and Willow Flycatcher nests.

Included Articles from Cochrane Reviews

Yogeshwar Kansara & Linh Hoang
The data file contains a list of included studies with their detailed metadata, taken from Cochrane reviews which were used in a project associated with the manuscript "An in-situ evaluation of the RCT Tagger using 7413 articles included in 570 Cochrane reviews with RCT-only inclusion criteria".

Trained models for multi-task multi-dataset learning for sequence prediction in tweets

Shubhanshu Mishra
Trained models for multi-task multi-dataset learning for sequence tagging in tweets. Sequence tagging tasks include POS, NER, Chunking, and SuperSenseTagging. Models were trained using: https://github.com/socialmediaie/SocialMediaIE/blob/master/SocialMediaIE/scripts/multitask_multidataset_experiment.py See https://github.com/socialmediaie/SocialMediaIE and https://socialmediaie.github.io 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....

Trained models for multi-task multi-dataset learning for text classification in tweets

Shubhanshu Mishra
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: https://github.com/socialmediaie/SocialMediaIE/blob/master/SocialMediaIE/scripts/multitask_multidataset_classification.py See https://github.com/socialmediaie/SocialMediaIE and https://socialmediaie.github.io 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,...

Trained models for multi-task multi-dataset learning for text classification as well as sequence tagging in tweets

Shubhanshu Mishra
Trained models for multi-task multi-dataset learning for text classification as well as sequence tagging in tweets. Classification tasks include sentiment prediction, abusive content, sarcasm, and veridictality. Sequence tagging tasks include POS, NER, Chunking, and SuperSenseTagging. Models were trained using: https://github.com/socialmediaie/SocialMediaIE/blob/master/SocialMediaIE/scripts/multitask_multidataset_classification_tagging.py See https://github.com/socialmediaie/SocialMediaIE and https://socialmediaie.github.io 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...

Wisconsin Bobcat Harvest Data

Maximilian Allen
This dataset includes the data from an analysis of bobcat harvest data with particular focus on the relationship between catch-per-unit-effort and population size. The data relate to bobcat trapper and hunter harvest metrics from Wisconsin and include two RDS files which can be open in the software R using the readRDS() function.

Hoover et al AUK-19-093 Illinois Data Bank Local conspecific density does not influence reproductive output in a secondary cavity-nesting songbird

Jeffrey P Hoover, Nicole M Davros, Wendy Schelsky & Jeffry D Brawn
Dataset associated with Hoover et al AUK-19-093 submission: Local conspecific density does not influence reproductive output in a secondary cavity-nesting songbird. Excel CSV with all of the data used in analyses. Description of variables YEARS: year ORDINAL_DATE: number for what day of the year it is with 1 January = 1,……30 December = 365 SITE: acronym for each study site BOX: unique nest box identifier on each study site TREAT: designates whether nest box was...

Data from: Meta-analytic and economic approaches for evaluation of pesticide impact on Sclerotinia stem rot control and soybean yield in the North Central U.S.

Jaime F. Willbur, Paul Mitchell, Mamadou L. Fall, Adam M. Byrne, Scott Chapman, Crystal M. Floyd, Carl A. Bradley, Keith Ames, Martin I. Chilvers, Nathan Kleczewski, Dean Malvick, Brian Mueller, Daren Mueller, Mehdi Kabbage, Shawn P. Conley & Damon Smith
As complete host resistance in soybean has not been achieved, Sclerotinia stem rot (SSR) caused by Sclerotinia sclerotiorum continues to be of major economic concern for farmers. Thus, chemical control remains a prevalent disease management strategy. Pesticide evaluations were conducted in Illinois, Iowa, Michigan, Minnesota, New Jersey, and Wisconsin from 2009 to 2016, for a total of 25 site-years (n = 2057 plot-level data points). These studies were used in network meta-analyses to evaluate the...

Data from: How do morphological sharpness measures relate to puncture performance in viperid snake fangs?

Stephanie B. Crofts, Yang Lai, Yuhang Hu & Philip S.L. Anderson
It makes intuitive sense that you need a sharp tool to puncture through a tough material. The typical approach to evaluating sharpness in biological puncturing tools is to treat morphological measurements as a proxy for puncture ability. However there are multiple approaches to measuring sharpness, and the relative influence of morphology on function remains unclear. Our goal is to determine what aspects of tip morphology have the greatest impact on puncture ability, using a) viper...

Because You Had a Bad Day: General and Daily Relations between Reactive Temperament, Emotion Regulation, and Depressive Symptoms in Youth

Marie-Lotte Van Beveren, Sofie Kuppens, Benjamin Hankin & Caroline Braet
Negative emotionality (NE) and positive emotionality (PE) have repeatedly shown to act as vulnerability factors for youth depression. Less research examined the mechanisms through which these reactive temperament traits may differently confer vulnerability to depression. Based on recent integrated models of depression proposing emotion regulation as a key underlying mechanism, the current study aimed to clarify the general and day-to-day relations among temperament, emotion regulation strategies, and depressive symptoms in Dutch-speaking youth (35% boys; M_age...

RAMP data subset, January 1 through May 31, 2019

Jonathan Wheeler, Kenning Arlitsch, Minh Pham, Nikolaus Parulian, Patrick OBrien & Jeff Mixter
The data are a subset of data from RAMP, the Repository Analytics and Metrics Portal (http://ramp.montana.edu/), consisting of data from 35 (out of 50) participating institutional repositories (IR) from the period of January 1 through May 31, 2019. This subset represents data analyzed for a pending publication. For a description of the data collection, processing, and output methods, please see the "methods" section below. The 'RAMP Primer,' a Jupyter Notebook consisting of Python code for...

Registration Year

  • 2019
    75

Resource Types

  • Dataset
    72
  • Text
    3

Affiliations

  • University of Illinois
    47
  • University of Illinois at Urbana Champaign
    26
  • Utah State University
    2
  • Indiana University
    2
  • University of Wisconsin-Madison
    2
  • Environment Canada
    2
  • University of California, Santa Barbara
    2
  • University of California, Riverside
    2
  • University of Utah
    2
  • University of Illinois at Urbana-Champaign
    2