64 Works

2018 Update to “A risk assesment of potential Great Lakes aquatic invaders”

El Lower, Nicholas Boucher, Peter Alsip, Alisha Davidson & Rochelle A. Sturtevant
NOAA Technical Memorandum GLERL ; 169b

The diverse nature of island isolation and its effect on land-bridge insular faunas

Yuval Itescu, Johannes Foufopoulos, Panayiotis Pafilis & Shai Meiri
Aim Isolation is a key factor in island biology. It is usually defined as the distance to the geographically nearest mainland, but multiple alternatives exist. We explored how testing different isolation indices affects the inference of isolation effects on faunal characteristics. We focused on land-bridge islands and compared the relationships of multiple spatial and temporal (i.e., through time) isolation indices with community-, population-, and individual-level characteristics (species richness, population density, and body size, respectively). Location...

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: Gender diversity of editorial boards and gender differences in the peer review process at six journals of ecology and evolution.

Charles Fox, Meghan Duffy, Daphne Fairbairn & Jennifer Meyer
Despite substantial progress for women in science, women remain underrepresented in many aspects of the scholarly publication process. We examined how the gender diversity of editors and reviewers changed over time for six journals in ecology and evolution (2003-2015 for four journals, 2007-2015 or 2009-2015 for the other two), and how several aspects of the peer review process differed between female and male editors and reviewers. We found that, for five of the six journals,...

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,...

Association of EGLN1 gene with high aerobic capacity of Peruvian Quechua at high altitude

Abigail W. Bigham, Tom D. Brutsaert, Melisa Kiyamu, Gianpietro Elias Revollendo, Jenna L. Isherwood, Frank S. Lee, Maria Rivera-Ch., Fabiola Leon-Velarde & Sudipta Ghosh
Highland native Andeans have resided at altitude for millennia. They display high aerobic capacity (VO2max) at altitude and this may be a reflection of genetic adaptation to chronic hypoxia. Previous genome-wide (GW) scans for natural selection have nominated EGLN1 as a candidate gene. The encoded protein, EGLN1/PHD2, is an O2 sensor that controls levels of the Hypoxia Inducible Factor-a (HIF-a), which regulates the cellular response to hypoxia. From GWAS and ANCOVA performed on a total...

Linking UMETRICS Award Data to NSF-funded Publications at the Award Level

Natsuko Nicholls, Raphael Lesmond Ku, Lindsay Uberseder & Jason Owen-Smith
This is publicly available documentation on the UMETRICS-NSF publication match and related NSF publication source files that were released in September 2019 as a supplement to the 2019 IRIS data release.

Fluorescent biomarkers demonstrate prospects for spreadable vaccines to control disease transmission in wild bats

Kevin Bakker, Tonie Rocke, Rachel Abbott, Carlos Tello, Jorge Carrera, William Valderrama, Carlos Shiva, Nestor Falcon, Jorge Osorio & Daniel Streicker
Vaccines that autonomously transfer among individuals have been proposed as a strategy to control infectious diseases within wildlife populations. However, understanding rates of spread and epidemiological efficacy in real world systems remain elusive. Here, we investigated whether topical vaccines that transfer among bats through social contacts can control vampire bat rabies, a medically and economically important zoonosis in Latin America. Field experiments in 3 Peruvian bat colonies which used fluorescent biomarkers as a proxy for...

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,...

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...

Expanded 3D nanofibre sponge scaffolds by gas-foaming technique enhance peripheral nerve regeneration

Feng Rao, Zhipeng Yuan, Ming Li, Fei Yu, Xingxing Fang, Baoguo Jiang, Yongqiang Wen & Peixun Zhang
Peripheral nerve injury has troubled clinical doctors for many years. To obtain better function recovery of peripheral nerve repair at the base of hollow nerve guidance conduit (NGC), many NGCs with fillers were developed in the application of tissue-engineered nerve graft. In this study, expanded 3D nanofibre sponge scaffolds with orientation and porosity were first fabricated by electrospinning and gas-foaming technique. Polylactic acid (PLA)/silk fibroin nanofibre sponge scaffolds were prepared as filler to construct 3D...

Registration Year

  • 2019
    64

Resource Types

  • Dataset
    53
  • Text
    11

Affiliations

  • University of Michigan–Ann Arbor
    42
  • University of Michigan-Ann Arbor
    14
  • Hansen Experimental Physics Laboratory, Stanford University
    8
  • Electrical Engineering and Computer Science Department, University of Michigan
    8
  • SUPA School of Physics and Astronomy, University of Glasgow
    8
  • NASA Goddard Space Flight Center
    8
  • Center for Data Science, New York University
    7
  • Lockheed Martin Solar & Astrophysics Laboratory
    7
  • SETI Institute
    6
  • Southwest Research Institute
    6