47 Works

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...

The anthropology of mind: Exploring unusual sensations and spiritual experiences across cultures. An interview with Tanya Luhrmann.

Tanya Luhrmann & Martin Fortier
In this interview, Tanya Luhrmann discusses her position within the field of anthropology as well as her methodological commitments. She also addresses her view about the mechanisms governing the shift from experiential unreality (imagination-like mental representations) to experiential reality (perception-like mental representations) as well as the role of personal proclivity (in particular the trait of absorption) within religious practice and experience. Finally, the interview tackles the question of cognitive penetrability: can folk models of the...

Data for: Emergent ferromagnetism near three-quarters filling in twisted bilayer graphene

Aaron Sharpe, Eli Fox, Arthur Barnard, Joe Finney, Kenji Watanabe, Takashi Taniguchi, Marc Kastner & David Goldhaber-Gordon
This archive contains the data and Python code generating figures for the article "Emergent ferromagnetism near three-quarters filling in twisted bilayer graphene" by Aaron L. Sharpe, Eli J. Fox, Arthur W. Barnard, Joe Finney, Kenji Watanabe, Takashi Taniguchi, M. A. Kastner, and David Goldhaber-Gordon and available at https://arxiv.org/abs/1901.03520. This archive contains the following: 1) TBG_ferromagnetism_figures.ipynb, a Jupyter notebook loading data and generating figures. The notebook has been tested with Python version 3.6.7 and Jupyter notebook...

Data from: Direct measurement of swimming and diving kinematics of giant Atlantic bluefin tuna (Thunnus thynnus)

Adrian C. Gleiss, Robert S. Schallert, Jonathan J. Dale, Steven G. Wilson & Barbara A. Block
Tunas possess a range of physiological and mechanical adaptations geared towards high performance swimming that are of considerable interest to physiologists, ecologists and engineers. Advances in biologging have provided significant improvements in understanding tuna migrations and vertical movement patterns, yet our understanding of the locomotion and swimming mechanics of these fish under natural conditions is limited. We equipped Atlantic bluefin tuna (Thunnus thynnus) with motion sensitive tags and video cameras to quantify the gaits and...

Data from: No evidence that gut microbiota impose a net cost on their butterfly host

Alison Ravenscraft, Nicole Kish, Kabir Peay & Carol Boggs
Gut microbes are believed to play a critical role in most animal life, yet fitness effects and cost benefit-tradeoffs incurred by the host are poorly understood. Unlike most hosts studied to date, butterflies largely acquire their nutrients from larval feeding, leaving relatively little opportunity for nutritive contributions by the adult’s microbiota. This provides an opportunity to measure whether hosting gut microbiota comes at a net nutritional price. Since host and bacteria may compete for sugars,...

Software and Calibration for Photothermal Threshold Quantum Yield

David Hanifi
This is code used to process and apply calibrations to photothermal threshold quantum yields taken, with our specific spectrometer. The calibrations included will not work for any other optics path or components, but this serves as a guide to calibrate one built in any other lab. This code is written in Matlab2018b.

A comparison of eDNA to camera trapping for assessment of terrestrial mammal diversity

Kevin Leempoel, Elizabeth Hadly & Trevor Hebert
Before environmental DNA (eDNA) can establish itself as a robust tool for biodiversity monitoring, comparison with existing approaches is necessary, yet is lacking for terrestrial mammals. Moreover, much is unknown regarding the nature, spread and persistence of DNA shed by animals into terrestrial environments, or the optimal experimental design for understanding these potential biases. To address some of these challenges, we compared the detection of terrestrial mammals using eDNA analysis of soil samples against confirmed...

Body size, sampling completeness, and extinction risk in the marine fossil record

Jonathan Payne & Noel Heim
Larger body size has long been assumed to correlate with greater risk of extinction, helping to shape body size distributions across the tree of life, but lack of comprehensive size data for fossil taxa have left this hypothesis untested for most higher taxa across the vast majority of evolutionary time. Here we assess the relationship between body size and extinction using a dataset comprising the body sizes, stratigraphic ranges, and occurrence patterns of 9,408 genera...

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...

Model code, inputs, and output from N isotope global inverse model

Taylor Martin, Karen Casciotti & Francois Primeau
Model code, ancillary input files, and model output related to Martin et al., Global Biogeochemical Cycles in review

Precision mapping of snail habitat provides a powerful indicator of human schistosomiasis transmission

Chelsea Wood, Susanne Sokolow, Isabel Jones, Andrew Chamberlin, Kevin Lafferty, Armand Kuris, Merlijn Jocque, Skylar Hopkins, Grant Adams, Julia Buck, Andrea Lund, Ana Garcia-Vedrenne, Evan Fiorenza, Jason Rohr, Fiona Allan, Bonnie Webster, Muriel Rabone, Joanne Webster, Lydie Bandagny, Raphael Ndione, Simon Senghor, Anne-Marie Schacht, Nicolas Jouanard, Gilles Riveau & Giulio De Leo
Recently, the World Health Organization recognized that efforts to interrupt schistosomiasis transmission through mass drug administration have been ineffective in some regions; one of their new recommended strategies for global schistosomiasis control emphasizes targeting the freshwater snails that transmit schistosome parasites. We sought to identify robust indicators that would enable precision targeting of these snails. At the site of the world’s largest recorded schistosomiasis epidemic—the Lower Senegal River Basin in Senegal—intensive sampling revealed positive relationships...

Data from: Covariation of diet and gut microbiome in African megafauna

Tyler R. Kartzinel, Julianna C. Hsing, Paul M. Musili, Bianca R. P. Brown & Robert M. Pringle
A major challenge in biology is to understand how phylogeny, diet, and environment shape the mammalian gut microbiome. Yet most studies of non-human microbiomes have relied on relatively coarse dietary categorizations and have focused either on individual wild populations or on captive animals that are sheltered from environmental pressures, which may obscure the effects of dietary and environmental variation on microbiome composition in diverse natural communities. We analyzed plant and bacterial DNA in fecal samples...

Data from: Understanding the loss of maternal care in avian brood parasites using preoptic area transcriptome comparisons in brood parasitic and non-parasitic blackbirds

Kathleen S. Lynch, Lauren A. O'Connell, Matthew I.M. Louder, Christopher N. Balakrishnan & Eva K Fischer
Parental care is critical for offspring survival in many species. However, parental behaviors have been lost in roughly 1% of avian species known as the obligate brood parasites. To shed light on molecular and neurobiological mechanisms mediating brood parasitic behavior, we compared brain gene expression patterns between two brood parasitic species and one closely related non-parasitic Icterid (blackbird) species. Our analyses focused on gene expression changes specifically in the preoptic area (POA), a brain region...

Data from: The prevalence of MS in the United States: a population-based estimate using health claims data

Mitchell T. Wallin, William J. Culpepper, Jonathan D. Campbell, Lorene M. Nelson, Annette Langer-Gould, Ruth Ann Marrie, Gary R. Cutter, Wendy E. Kaye, Laurie Wagner, Helen Tremlett, Stephen L. Buka, Piyameth Dilokthornsakul, Barbara Topol, Lie H. Chen & Nicholas G. LaRocca
Objective: To generate a national multiple sclerosis (MS) prevalence estimate for the United States by applying a validated algorithm to multiple administrative health claims (AHC) datasets. Methods: A validated algorithm was applied to private, military, and public AHC datasets to identify adult cases of MS between 2008 and 2010. In each dataset, we determined the 3-year cumulative prevalence overall and stratified by age, sex, and census region. We applied insurance-specific and stratum-specific estimates to the...

Data from: Local interactions and their group-level consequences in flocking jackdaws

Hangjian Ling, Guillam E. McIvor, Kasper Van Der Vaart, Richard T. Vaughan, Alex Thornton & Nicholas T. Ouellette
As one of nature’s most striking examples of collective behaviour, bird flocks have attracted extensive research. However, we still lack an understanding of the attractive and repulsive forces that govern interactions between individuals within flocks and how these forces influence neighbours’ relative positions and ultimately determine the shape of flocks. We address these issues by analysing the three-dimensional movements of wild jackdaws (Corvus monedula) in flocks containing 2 to 338 individuals. We quantify the social...

Data from: Reduced signal for polygenic adaptation of height in UK Biobank

Jeremy J. Berg, Arbel Harpak, Nasa Sinnott-Armstrong, Anja Moltke Joergensen, Hakhamanesh Mostafavi, Yair Field, Evan August Boyle, Xinjun Zhang, Fernando Racimo, Jonathan K. Pritchard & Graham Coop
Several recent papers have reported strong signals of selection on European polygenic height scores. These analyses used height effect estimates from the GIANT consortium and replication studies. Here, we describe a new analysis based on the the UK Biobank (UKB), a large, independent dataset. We find that the signals of selection using UKB effect estimates are strongly attenuated or absent. We also provide evidence that previous analyses were confounded by population stratification. Therefore, the conclusion...

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...

Transient osmotic perturbation causes long-term alteration to the gut microbiota

Carolina Tropini & Justin Sonnenburg
"Osmotic diarrhea is a prevalent condition in humans caused by food intolerance, malabsorption, and widespread laxative use. Here, we assess the resilience of the gut ecosystem to osmotic perturbation at multiple length and time scales using mice as model hosts. Osmotic stress caused reproducible extinction of highly abundant taxa and expansion of less prevalent members in human and mouse microbiotas. Quantitative imaging revealed decimation of the mucus barrier during osmotic perturbation, followed by recovery. The...

Data from: Chiral Majorana fermion modes in a quantum anomalous Hall insulator–superconductor structure

Qing Lin He, Lei Pan, Alexander L. Stern, Edward C. Burks, Xiaoyu Che, , Jing Wang, Biao Lian, Quan Zhou, Eun Sang Choi, Koichi Murata, Xufeng Kou, Zhijie Chen, Tianxiao Nie, Qiming Shao, Yabin Fan, Shou-Cheng Zhang, Kai Liu, Jing Xia & Kang L. Wang
Majorana fermion is a hypothetical particle that is its own antiparticle. We report transport measurements that suggest the existence of one-dimensional chiral Majorana fermion modes in the hybrid system of a quantum anomalous Hall insulator thin film coupled with a superconductor. As the external magnetic field is swept, half-integer quantized conductance plateaus are observed at the locations of magnetization reversals, giving a distinct signature of the Majorana fermion modes. This transport signature is reproducible over...

Redefining Near-Unity Luminescence in Quantum Dots with Photothermal Threshold Quantum Yield

David Hanifi, Noah Bronstein, Brent Koscher, Zach Nett, Joseph Swabeck, Kaori Takano, Adam Schwartzberg, Lorenzo Maserati, Koen Vandewal, Yoeri Van De Burgt, Alberto Salleo & Paul Alivisatos
Herin is the code and example data sets for the publication titled: "Redefining Near-Unity Luminescence in Quantum Dots with Photothermal Threshold Quantum Yield." The abstract of this paper is as follows. A variety of optical applications rely on the absorption and reemission of light. The quantum yield of this process often plays an essential role. When the quantum yield deviates from unity by significantly less than 1%, applications such as luminescent concentrators and optical refrigerators...

Data from: Fire history and plant community composition outweigh decadal multi‐factor global change as drivers of microbial composition in an annual grassland

Clara Qin, Kai Zhu, Nona Chiariello, Christopher Field & Kabir Peay
Soil microbial communities regulate and respond to key biogeochemical cycles and influence plant community patterns. However, microbial communities also respond to disturbance events, motivating an assessment of the relative roles of decadal multi-factor global change, disturbance, and plant community structure on microbial community responses. We used high-throughput amplicon sequencing to characterize the diversity and composition of bacterial and fungal communities in bulk soil (0–7 cm) collected in 2014 from the Jasper Ridge Global Change Experiment,...

Registration Year

  • 2019
    47

Resource Types

  • Dataset
    45
  • Software
    1
  • Text
    1

Affiliations

  • Stanford University
    37
  • 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
    7
  • Department of Psychiatry, University of Amsterdam
    7