48 Works

2014 Machine Learning Data Set for NASA's Solar Dynamics Observatory - Atmospheric Imaging Assembly

David Fouhey, Meng Jin, Mark Cheung, Abndres Munoz-Jaramillo, Richard Galvez, Rajat Thomas, Paul Wright, Alexander Szenicer, Monica G. Bobra, Yang Liu & James Mason
We present a curated dataset from the NASA Solar Dynamics Observatory (SDO) mission in a format suitable for machine learning research. Beginning from level 1 scientific products we have processed various instrumental corrections, downsampled to manageable spatial and temporal resolutions, and synchronized observations spatially and temporally. We anticipate this curated dataset will facilitate machine learning research in heliophysics and the physical sciences generally, increasing the scientific return of the SDO mission. This work is a...

Sex differences in IV thrombolysis treatment for stroke: a systematic review and meta-analysis

Brent Strong, Lynda Lisabeth & Mathew Reeves
Objective: A prior meta-analysis of reports published between 2000 and 2008 found that women were 30% less likely to receive IV rt-PA treatment for stroke than men; we updated this meta-analysis to determine if this sex difference still persisted. Methods: We identified studies that reported sex-specific IV rt-PA treatment rates for acute ischemic stroke published between 2008 and 2018. Eligible studies included representative populations of ischemic stroke patients from hospital-based, registry-based, or administrative data. Random...

TypeTE: a tool to genotype mobile element insertions from whole genome resequencing data

Clément Goubert, Jainy Thomas, Lindsay Payer, Jeffrey Kidd, Julie Feusier, W. Scott Watkins, Kathleen Burns, Lynn Jorde & Cédric Feschotte
Alu retrotransposons account for more than 10% of the human genome, and insertions of these elements create structural variants segregating in human populations. Such polymorphic Alu are powerful markers to understand population structure, and they represent variants that can greatly impact genome function, including gene expression. Accurate genotyping of Alu and other mobile elements has been challenging. Indeed, we found that Alu genotypes previously called for the 1000 Genomes Project are sometimes erroneous, which poses...

Data from: Deconstructing an infamous extinction crisis: Survival of Partula species on Moorea and Tahiti

Amanda Haponski, Taehwan Lee & Diarmaid O' Foighil
Eleven of eighteen Society Island Partula species endemic to the Windward Island subgroup (Moorea and Tahiti) have been extirpated by an ill-advised biological control program. The conservation status of this critically endangered tree snail radiation is of considerable import, but is clouded by taxonomic uncertainty due to the extensive lack of congruence among species designations, diagnostic morphologies and molecular markers. Using a combination of museum, captive, and remnant wild snails, we obtained the first high-resolution...

Data from: Functional traits, not productivity, predict openness to seedling recruitment in alpine plant communities under climatic warming

Eric Meineri, Kari Klanderud, John Guittar, Deborah Goldberg & Vigdis Vandvik
Understanding the degree to which plant communities are open to seedling recruitment is key to predicting how they will be impacted by climate change. We experimentally assessed whether communities assembled under colder climates were inherently more open to recruitment than warmer-climate communities, after controlling for differences in the current climate under which the communities were growing. We then tested whether variation in openness to recruitment could be explained by community biomass or by the plant...

Data from: Long-term dynamics of liana seedlings suggest decelerating increases in liana relative abundance over time

Maria Natalia Umaña, Eric Manzané-Pinzón & Liza Comita
Over the past decades, tropical forests have experienced both compositional and structural changes. In the Neotropics, researchers at multiple sites have observed significant increases in the abundance and biomass of lianas (i.e. woody vines) relative to trees. However, the role of dynamics at early life stages in contributing to increasing liana abundance remains unclear. We took advantage of a unique dataset on seedling dynamics over 16 years in ~20,000 1-m2plots in a tropical forest in...

Data from: The contribution of host cell-directed vs. parasite-directed immunity to the disease and dynamics of malaria infections

Nina Wale, Matthew J. Jones, Derek G. Sim, Andrew F. Read & Aaron A. King
Hosts defend themselves against pathogens by mounting an immune response. Fully understanding the immune response as a driver of host disease and pathogen evolution requires a quantitative account of its impact on parasite population dynamics. Here, we use a data-driven modeling approach to quantify the birth and death processes underlying the dynamics of infections of the rodent malaria parasite, Plasmodium chabaudi, and the red blood cells (RBCs) it targets. We decompose the immune response into...

Similar but different: Revealing the relative roles of species‐traits versus biome properties structuring genetic variation in South American marsh rats

Joyce Rodrigues Do Prado, Joyce R. Prado, Alexandre R. Percequillo, Andréa T. Thomaz & L. Lacey Knowles
Aim: Wetland habitats, and the ecological restrictions imposed by them, structure patterns of genetic variation in constituent taxa. As such, genetic variation may reflect properties of the specific biomes species inhabit, or shared life history traits among species may result in similar genetic structure. We evaluated these hypotheses jointly by quantifying the similarity of genetic structure in three South American marsh rat species (Holochilus), and test how genetic variation in each species relates to biome‐specific...

2010 Machine Learning Data Set for NASA's Solar Dynamics Observatory - Atmospheric Imaging Assembly

David Fouhey, Meng Jin, Mark Cheung, Abndres Munoz-Jaramillo, Richard Galvez, Rajat Thomas, Paul Wright, Alexander Szenicer, Monica G. Bobra, Yang Liu & James Mason
We present a curated dataset from the NASA Solar Dynamics Observatory (SDO) mission in a format suitable for machine learning research. Beginning from level 1 scientific products we have processed various instrumental corrections, downsampled to manageable spatial and temporal resolutions, and synchronized observations spatially and temporally. We anticipate this curated dataset will facilitate machine learning research in heliophysics and the physical sciences generally, increasing the scientific return of the SDO mission. This work is a...

2015 Machine Learning Data Set for NASA's Solar Dynamics Observatory - Atmospheric Imaging Assembly

David Fouhey, Meng Jin, Mark Cheung, Abndres Munoz-Jaramillo, Richard Galvez, Rajat Thomas, Paul Wright, Alexander Szenicer, Monica G. Bobra, Yang Liu & James Mason
We present a curated dataset from the NASA Solar Dynamics Observatory (SDO) mission in a format suitable for machine learning research. Beginning from level 1 scientific products we have processed various instrumental corrections, downsampled to manageable spatial and temporal resolutions, and synchronized observations spatially and temporally. We anticipate this curated dataset will facilitate machine learning research in heliophysics and the physical sciences generally, increasing the scientific return of the SDO mission. This work is a...

2016 Machine Learning Data Set for NASA's Solar Dynamics Observatory - Atmospheric Imaging Assembly

David Fouhey, Meng Jin, Mark Cheung, Abndres Munoz-Jaramillo, Richard Galvez, Rajat Thomas, Paul Wright, Alexander Szenicer, Monica G. Bobra, Yang Liu & James Mason
We present a curated dataset from the NASA Solar Dynamics Observatory (SDO) mission in a format suitable for machine learning research. Beginning from level 1 scientific products we have processed various instrumental corrections, downsampled to manageable spatial and temporal resolutions, and synchronized observations spatially and temporally. We anticipate this curated dataset will facilitate machine learning research in heliophysics and the physical sciences generally, increasing the scientific return of the SDO mission. This work is a...

Evaluating the boundaries of marine biogeographic regions of the Southwestern Atlantic using halacarid mites (Halacaridae), meiobenthic organisms with a low dispersal potential

Almir Pepato, Pavel Klimov & Teofânia Vidigal
Aim We evaluated traditional biogeographic boundaries of coastal marine regions in SW Atlantic using DNA sequence data from common, rocky-shore inhabiting, marine mites of the genera Agauopsis and Rhombognathus, family Halacaridae. Methods We investigated geographic population genetic structure using CO1 gene sequences, estimated divergence times using a multigene dataset and absolute time-calibrated molecular clock analyses, and performed environmental niche modeling (ENM) of common marine mite species. Results Agauopsis legionium has a shallow history (2.01 Ma)...

Data from: Physician champions’ perspectives and practices on electronic health records implementation: challenges and strategies

Xinning Gui, Yunan Chen, Xiaomu Zhou, Tera L. Reynolds, Kai Zheng & David A. Hanauer
Objective: Physician champions are “boots on the ground” physician leaders who facilitate the implementation of, and transition to, new health information technology (HIT) systems within an organization. They are commonly cited as key personnel in HIT implementations, yet little research has focused on their practices and perspectives. Methods: We addressed this research gap through a qualitative study of physician champions that aimed to capture their challenges and strategies during a large-scale HIT implementation. Email interviews...

Trophic-specific responses to migration in empirical metacommunities

Zachary Hajian-Forooshani
The metacommunity, as it evolved from Levins’s metapopulation, provides a framework to consider the spatial organization of species interactions. A defining feature of metapopulations and metacommunities is that organisms (populations or communities) are connected via migration. An important result from Levins’s metapopulation work—that increasing migration lowers regional extinction probability—is often incorporated into conceptions of metacommunities; however, this may not hold true for multiple interacting metapopulations (metacommunities). We report results from a metacommunity field experiment conducted...

Data from: Tip rates, phylogenies, and diversification: what are we estimating, and how good are the estimates?

Pascal O. Title & Daniel L. Rabosky
1. Species-specific diversification rates, or “tip rates”, can be computed quickly from phylogenies and are widely used to study diversification rate variation in relation to geography, ecology, and phenotypes. These tip rates provide a number of theoretical and practical advantages, such as the relaxation of assumptions of rate homogeneity in trait-dependent diversification studies. However, there is substantial confusion in the literature regarding whether these metrics estimate speciation or net diversification rates. Additionally, no study has...

Data from: Long-term population dynamics of dreissenid mussels (Dreissena polymorpha and D. rostriformis): a cross-system analysis

David L. Strayer, Boris V. Adamovich, Rita Adrian, David C. Aldridge, Csilla Balogh, Lyubov E. Burlakova, Hannah B. Fried-Petersen, László G.‐Tóth, Amy L. Hetherington, Thomas S. Jones, Alexander Y. Karatayev, Jacqueline B. Madill, Oleg A. Makarevich, J. Ellen Marsden, Andre L. Martel, Dan Minchin, Thomas F. Nalepa, Ruurd Noordhuis, Timothy J. Robinson, Lars G. Rudstam, Astrid N. Schwalb, David R. Smith, Alan D. Steinman & Jonathan M. Jeschke
Dreissenid mussels (including the zebra mussel Dreissena polymorpha and the quagga mussel D. rostriformis) are among the world's most notorious invasive species, with large and widespread ecological and economic effects. However, their long‐term population dynamics are poorly known, even though these dynamics are critical to determining impacts and effective management. We gathered and analyzed 67 long‐term (>10 yr) data sets on dreissenid populations from lakes and rivers across Europe and North America. We addressed five...

Quantum supremacy using a programmable superconducting processor

John M. Martinis, Sergio Boixo, Hartmut Neven, Frank Arute, Kunal Arya, Ryan Babbush, Dave Bacon, Joseph C. Bardin, Rami Barends, Rupak Biswas, Fernando G. S. L. Brandao, David A. Buell, Brian Burkett, Yu Chen, Zijun Chen, Ben Chiaro, Roberto Collins, William Courtney, Andrew Dunsworth, Edward Farhi, Brooks Foxen, Austin Fowler, Craig Gidney, Marissa Giustina, Rob Graff … & Adam Zalcman
The tantalizing promise of quantum computers is that certain computational tasks might be executed exponentially faster on a quantum processor than on a classical processor. A fundamental challenge is to build a high-fidelity processor capable of running quantum algorithms in an exponentially large computational space. Here, we report using a processor with programmable superconducting qubits to create quantum states on 53 qubits, corresponding to a computational state-space of dimension 2^53 ∼ 10^16. Measurements from repeated...

2012 Machine Learning Data Set for NASA's Solar Dynamics Observatory - Atmospheric Imaging Assembly

David Fouhey, Meng Jin, Mark Cheung, Abndres Munoz-Jaramillo, Richard Galvez, Rajat Thomas, Paul Wright, Alexander Szenicer, Monica G. Bobra, Yang Liu & James Mason
We present a curated dataset from the NASA Solar Dynamics Observatory (SDO) mission in a format suitable for machine learning research. Beginning from level 1 scientific products we have processed various instrumental corrections, downsampled to manageable spatial and temporal resolutions, and synchronized observations spatially and temporally. We anticipate this curated dataset will facilitate machine learning research in heliophysics and the physical sciences generally, increasing the scientific return of the SDO mission. This work is a...

2017 Machine Learning Data Set for NASA's Solar Dynamics Observatory - Atmospheric Imaging Assembly

David Fouhey, Meng Jin, Mark Cheung, Abndres Munoz-Jaramillo, Richard Galvez, Rajat Thomas, Paul Wright, Alexander Szenicer, Monica G. Bobra, Yang Liu & James Mason
We present a curated dataset from the NASA Solar Dynamics Observatory (SDO) mission in a format suitable for machine learning research. Beginning from level 1 scientific products we have processed various instrumental corrections, downsampled to manageable spatial and temporal resolutions, and synchronized observations spatially and temporally. We anticipate this curated dataset will facilitate machine learning research in heliophysics and the physical sciences generally, increasing the scientific return of the SDO mission. This work is a...

2018 Machine Learning Data Set for NASA's Solar Dynamics Observatory - Atmospheric Imaging Assembly

David Fouhey, Meng Jin, Mark Cheung, Abndres Munoz-Jaramillo, Richard Galvez, Rajat Thomas, Paul Wright, Alexander Szenicer, Monica G. Bobra, Yang Liu & James Mason
We present a curated dataset from the NASA Solar Dynamics Observatory (SDO) mission in a format suitable for machine learning research. Beginning from level 1 scientific products we have processed various instrumental corrections, downsampled to manageable spatial and temporal resolutions, and synchronized observations spatially and temporally. We anticipate this curated dataset will facilitate machine learning research in heliophysics and the physical sciences generally, increasing the scientific return of the SDO mission. This work is a...

Data from: Some perspective on Molecular Ecology perspectives: are women being left out?

Regina S. Baucom, Armando Moreno Geraldes & Loren H. Rieseberg
Editorials do not have abstracts.

Data from: Is genomic diversity a useful proxy for census population size? Evidence from a species-rich community of desert lizards

Maggie R. Grundler, Sonal Singhal, Mark A. Cowan & Daniel L. Rabosky
Species abundance data are critical for testing ecological theory, but obtaining accurate empirical estimates for many taxa is challenging. Proxies for species abundance can help researchers circumvent time and cost constraints that are prohibitive for long-term sampling. Under simple demographic models, genetic diversity is expected to correlate with census size, such that genome-wide heterozygosity may provide a surrogate measure of species abundance. We tested whether nucleotide diversity is correlated with long-term estimates of abundance, occupancy,...

Data from: The nervous and circulatory systems of a Cretaceous crinoid: preservation, paleobiology, and evolutionary significance

James Saulsbury & Samuel Zamora
Featherstars, those comatulid crinoids that shed their stalk during their ontogeny, are the most species-rich lineage of modern crinoids and the only ones present in shallow water today. Although they are of considerable paleontological interest as a ‘success story’ of the Mesozoic Marine Revolution, their fossil record is relatively species-poor and fragmentary. New Spanish fossils of the Cretaceous featherstar Decameros ricordeanus preserve the shape and configuration of nervous and circulatory anatomy in the form of...

Data from: Testing main Amazonian rivers as barriers across time and space within widespread taxa

Renata Pirani, Fernanda Werneck, Andréa Thomaz, Mariah Kenney, Marcelo Sturaro, Teresa Cristina Avila-Pires, Pedro Peloso, Miguel Rodrigues & L. Lacey Knowles
Aim: Present Amazonian diversity patterns can result from many different mechanisms and, consequently, the factors contributing to divergence across regions and/or taxa may differ. Nevertheless, the river-barrier hypothesis (RBH) is still widely invoked as a causal process in divergence of Amazonian species. Here we use model-based phylogeographic analyses to test the extent to which major Amazonian rivers act similarly as barriers across time and space in two broadly distributed Amazonian taxa. Local: Amazon rainforest. Taxon:...

Multi-dimensional biodiversity hotspots and the future of taxonomic, ecological, and phylogenetic diversity: a case study of North American rodents

Tara Smiley, Pascal Title, Miriam Zelditch & Rebecca Terry
Aim: We investigate geographic patterns across taxonomic, ecological, and phylogenetic diversity to test for spatial (in)congruency and identify aggregate diversity hotspots in relation to present land-use and future climate. Simulating extinctions of imperiled species, we demonstrate where losses across diversity dimensions and geography are predicted. Location: North America Time period: Present-day, future Major taxa studied: Rodentia Methods: Using geographic range maps for rodent species, we quantified spatial patterns for eleven dimensions of diversity: taxonomic (species,...

Registration Year

  • 2019
    48

Resource Types

  • Dataset
    48

Affiliations

  • University of Michigan–Ann Arbor
    26
  • University of Michigan-Ann Arbor
    14
  • Hansen Experimental Physics Laboratory, Stanford University
    9
  • Electrical Engineering and Computer Science Department, University of Michigan
    9
  • SUPA School of Physics and Astronomy, University of Glasgow
    9
  • NASA Goddard Space Flight Center
    9
  • Center for Data Science, New York University
    9
  • Lockheed Martin Solar & Astrophysics Laboratory
    9
  • SETI Institute
    9
  • Southwest Research Institute
    9