66 Works

Speleothem chronology in Ledyanaya Lenskaya and Botovskaya caves used in publication \"Paleoclimate evidence of vulnerable permafrost during times of low sea-ice\" By Vaks, A. et al.(2020)

A Vaks, A.J. Mason, S. F. M. Breitenbach, A. M. Kononov, A. V. Osinzev, M. Rosensaft, A. Borshevsky, O. S. Gutareva & G. M. Henderson
The tables describe U-series chronology of speleothems in Ledyanaya Lenskaya and Botovskaya caves used in the manuscript "Paleoclimate evidence of vulnerable permafrost during times of low sea ice" by Vaks et al. 2020, Nature 577, 7789, 221–225. The information included in the tables is listed as following: Table 1: Table 1a includes U–Pb data from Ledyanaya Lenskaya and Botovskaya caves; Table 1b includes common Pb estimates for Ledyanaya Lenskaya and Botovskaya caves. Table 2: U–Th...

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...

Relocating dreams on the conceptual map: how the analysis of sleep and dreaming challenges our taxonomy of mental states. An interview with Jennifer Windt.

Jennifer Windt, Alessio Bucci & Raphaël Millière
In this interview, Jennifer Windt discusses the importance of studying dreams to understand consciousness, how theories of dreaming have evolved over time, how neuroimaging has influenced the way in which we think about dreams, how we might redefine the taxonomy of conscious phenomena occurring during sleep, the role of first-person reports in dream research, her own Immersive Spatiotemporal Hallucination (ISTH) model of dreaming, as well as challenges for future research.

Data from: Palaeoproteomics resolves sloth phylogeny

Samantha Presslee, Graham J. Slater, Francois Pujos, Analia M. Forasiepi, Roman Fischer, Kelly Molloy, Meaghan Mackie, Jesper V. Olsen, Alejandro Kramarz, Matias Taglioretti, Fernando Scaglia, Maximiliano Lezcano, José Luis Lanata, John Southon, Robert Feranec, Jonathan Bloch, Adam Hajduk, Fabiana M. Martin, Rodolfo Salas Gismondi, Marcelo Reguero, Christian De Muizon, Alex Greenwood, Brian T. Chait, Kirsty Penkman, Matthew Collins … & Ross D. E. MacPhee
The living tree sloths Choloepus and Bradypus are the only remaining members of Folivora, a major xenarthran radiation that occupied a wide range of habitats in many parts of the western hemisphere during the Cenozoic, including both continents and the West Indies. Ancient DNA evidence has played only a minor role in folivoran systematics, as most sloths lived in places not conducive to genomic preservation. Here we utilize collagen sequence information, both separately and in...

Data from: Data gaps and opportunities for comparative and conservation biology

Dalia A. Conde, Johanna Staerk, Fernando Colchero, Rita Da Silva, Jonas Schöley, H. Maria Baden, Lionel Jouvet, John E. Fa, Hassan Syed, Eelke Jongejans, Shai Meiri, Jean-Michel Gaillard, Scott Chamberlain, Jonathan Wilcken, Owen R. Jones, Johan P. Dahlgren, Ulrich K. Steiner, Lucie M. Bland, Ivan Gomez-Mestre, Jean-Dominique Lebreton, Jaime González Vargas, Nate Flesness, Vladimir Canudas-Romo, Roberto Salguero-Gómez, Onnie Byers … & James W. Vaupel
Biodiversity loss is a major challenge. Over the past century, the average rate of vertebrate extinction has been about 100-fold higher than the estimated background rate and population declines continue to increase globally. Birth and death rates determine the pace of population increase or decline, thus driving the expansion or extinction of a species. Design of species conservation policies hence depends on demographic data (e.g., for extinction risk assessments or estimation of harvesting quotas). However,...

Data from: Robust design for coalescent model inference

Kris V Parag & Oliver G Pybus
The coalescent process describes how changes in the size or structure of a population influence the genealogical patterns of sequences sampled from that population. The estimation of (effective) population size changes from genealogies that are reconstructed from these sampled sequences is an important problem in many biological fields. Often, population size is characterized by a piecewise-constant function, with each piece serving as a population size parameter to be estimated. Estimation quality depends on both the...

Data from: Diversity dynamics of Phanerozoic terrestrial tetrapods at the local-community scale

Roger A. Close, Roger B. J. Benson, John Alroy, Anna K. Behrensmeyer, Juan Benito, Matthew T. Carrano, Terri J. Cleary, Emma M. Dunne, Philip D. Mannion, Mark D. Uhen & Richard J. Butler
The fossil record provides one of the strongest tests of the hypothesis that diversity within local communities is constrained over geological timescales. Constraints to diversity are particularly controversial in modern terrestrial ecosystems, yet long-term patterns are poorly understood. Here we document patterns of local richness in Phanerozoic terrestrial tetrapods using a global data set comprising 145,332 taxon occurrences from 27,531 collections. We show that the local richness of non-flying terrestrial tetrapods has risen asymptotically since...

Data from: Adding ecological and evolutionary processes to restoration biodiversity offset models using neutral theory

Falko T. Buschke & Samuel P. Sinclair
Aim: Biodiversity offsets are being implemented or planned across all continents and biogeographical realms. Due to their popularity, new offset projects have developed faster than empirical evidence of their ecological effectiveness, so policy has been informed by quantitative models. However, these models have yet to incorporate ecological and evolutionary processes, which vary globally. Here we use the unified neutral theory of biodiversity to integrate speciation and dispersal into models of restoration biodiversity offsets. Location: A...

Interprofessional education in geriatric medicine: towards best practice. A controlled before-after study of medical and nursing student attitudes

Sanja Thompson, Kiloran Metcalfe, Katy Boncey, Clair Merriman, Lorna Flynn, Gaggandeep Singh Alg, Harriet Bothwell, Carol Forde-Forde-Johnston, Elizabeth Puffett, Caroline Hardy, Liz Wright & James Beale
Objectives To investigate nursing and medical students’ readiness for interprofessional learning before and after implementing geriatric Interprofessional education (IPE), based on interactive case scenarios Problem Based Learning (PBL). To determine optimal number of geriatric IPE sessions, the size and the ratio of participants in the learner groups, the outcomes related to the Kirkpatrick four-level typology of learning evaluation, students’ concerns about joint learning, perception of roles of the “other” profession and students choice of topic....

Consistent patterns of distractor effects during decision making

Bolton K H Chau, Chun-Kit Law, Alizée Lopez-Persem, Miriam C Klein-Flügge, Matthew F S Rushworth, Bolton KH Chau & Matthew FS Rushworth
The value of a third potential option or distractor can alter the way in which decisions are made between two other options. Two hypotheses have received empirical support: that a high value distractor improves the accuracy with which decisions between two other options are made and that it impairs accuracy. Recently, however, it has been argued that neither observation is replicable. Inspired by neuroimaging data showing that high value distractors have different impacts on prefrontal...

Beyond Buddhism and animism: A psychometric test of the structure of Burmese Theravada Buddhism

Mark Stanford & Jonathan Jong
Anthropologists and religious scholars have long debated the relationship between doctrinal Theravada Buddhism, so-called ‘animism’, and other folk practices in southeast Asian societies. A variety of models of this relationship have been proposed on the basis of ethnographic evidence. We provide the first psychometric and quantitative evaluation of these competing models, using a new scale developed for this purpose, the Burmese Buddhist Religiosity Scale. Having tested existing hypotheses in our first study (n = 2285)...

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...

Dung beetle abundance data from a before-and-after El Niño experiment in the Brazilian Amazon

F.M. França, V.H. Oliveira, J.N.C. Louzada, F.Z. Vaz-De-Mello, J.N Ferreira, E. Berenguer, T. Gardner, A. Lees & J. Barlow
This data set includes longitudinal abundance of dung beetles at dung-baited pitfall traps, recorded in 2010, 2016 and 2017 (around six years before, six months after and 18 months after the 2015-16 El Niño event, respectively) in the Brazilian Amazon region. Dung beetles were collected during the collaborative projects AFIRE (Assessing ENSO-induced Fire Impacts in tropical Rainforest Ecosystems) and ECOFOR (Biodiversity and Ecosystem Functioning in degraded and recovering Amazonian and Atlantic Forests), which are part...

Hydroxyacetophenone defenses in white spruce against spruce budworm

Genevieve Parent, Claudia Méndez-Espinoza, Isabelle Giguère, Melissa H. Mageroy, Martin Charest, Éric Bauce, Joerg Bohlmann & John MacKay
We review a recently discovered white spruce (Picea glauca) chemical defense against spruce budworm (Choristoneura fumiferana) involving hydroxyacetophenones. These defense metabolites detected in the foliage accumulate variably as the aglycons, piceol and pungenol, or the corresponding glucosides, picein and pungenin. We summarize current knowledge of the genomic, molecular and biochemical as well as genetic underpinnings of this defense and its effects on C. fumiferana. We present an update with new results on the ontogenic variation...

The many population genetic and demographic routes to islands of genomic divergence

Claudio Quilodrán, Kristen Ruegg, Ashley Sendell-Price, Eric Anderson, Tim Coulson & Sonya Clegg
The way that organisms diverge into reproductively isolated species is a major question in biology. The recent accumulation of genomic data provides promising opportunities to understand the genomic landscape of divergence, which describes the distribution of differences across genomes. Genomic areas of unusually high differentiation have been called genomic islands of divergence. Their formation has been attributed to a variety of mechanisms, but a prominent hypothesis is that they result from divergent selection over a...

Data from: Weak spatiotemporal response of prey to predation risk in a freely interacting system

Jeremy J. Cusack, Michel T. Kohl, Matthew C. Metz, Tim Coulson, Daniel R. Stahler, Douglas W. Smith & Daniel R. MacNulty
1.The extent to which prey space use actively minimises predation risk continues to ignite controversy. Methodological reasons that have hindered consensus include inconsistent measurements of predation risk, biased spatiotemporal scales at which responses are measured, and lack of robust null expectations. 2.We addressed all three challenges in a comprehensive analysis of the spatiotemporal responses of adult female elk (Cervus elaphus) to the risk of predation by grey wolves (Canis lupus) during winter in northern Yellowstone,...

Data from: Match and mismatch between dietary switches and microbial partners in plant sap-feeding insects

Louis Bell-Roberts, Angela E. Douglas & Gijsbert D.A. Werner
Some animal groups associate with the same vertically-transmitted microbial symbionts over extended periods of evolutionary time, punctuated by occasional symbiont switches to different microbial taxa. Here we test the oft-repeated suggestion that symbiont switches are linked with host diet changes, focusing on hemipteran insects of the suborder Auchenorrhyncha. These insects include the only animals that feed on plant xylem sap through the life cycle, as well as taxa that feed on phloem sap and plant...

Data from: Patterns of nitrogen-fixing tree abundance in forests across Asia and America

Duncan N. L. Menge, Ryan A. Chisholm, Stuart J. Davies, Kamariah Abu Salim, David Allen, Mauricio Alvarez, Norm Bourg, Warren Y. Brockelman, Sarayudh Bunyavejchewin, Nathalie Butt, Min Cao, Wirong Chanthorn, Wei-Chun Chao, Keith Clay, Richard Condit, Susan Cordell, João Batista Da Silva, H. S. Dattaraja, Ana Cristina Segalin De Andrade, Alexandre A. Oliveira, Jan Den Ouden, Michael Drescher, Christine Fletcher, Christian P. Giardina, C. V. Savitri Gunatilleke … & Tak Fung
Symbiotic nitrogen (N)‐fixing trees can provide large quantities of new N to ecosystems, but only if they are sufficiently abundant. The overall abundance and latitudinal abundance distributions of N‐fixing trees are well characterised in the Americas, but less well outside the Americas. Here, we characterised the abundance of N‐fixing trees in a network of forest plots spanning five continents, ~5,000 tree species and ~4 million trees. The majority of the plots (86%) were in America...

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...

Consciousness and psychedelics. An interview with Robin Carhart-Harris.

Robin Carhart-Harris, Martin Fortier & Raphaël Millière
In this interview, Robin Carhart-Harris discusses empirical and theoretical issues related to the current renaissance of scientific research on states of consciousness induced by psychedelic drugs. In particular, he talks about the limitations of neuroimaging techniques to measure the effects of psychedelic drugs on the human brain, the reliability of self-report questionnaires to assess the subjective effects of psychedelic drugs, the nature of the phenomenon known as drug-induced ego-dissolution, the role of the default mode...

Spectral data for quaking aspen (Populus tremuloides) clones of different ploidy levels

B. Blonder, B.J. Graae, B. Greer, M. Haagsma, K. Helsen, R.E. Kapás, H. Pai, J. Rieksta, D. Sapena, C.J. Still & R. Strimbeck
Data comprise measurements of spectral reflectance for quaking aspen (Populus tremuloides Michx.) trees at a range of sites in southwestern Colorado near the town of Crested Butte. Spectra were measured in three different ways: hyperspectral measurements of leaves, hyperspectral measurements of bark, and multispectral measurements of canopies. The first two measurements were made using a handheld spectrometer, while the latter were made via airborne imaging from an unmanned aerial system. In addition to these reflectance...

Registration Year

  • 2019
    66

Resource Types

  • Dataset
    63
  • Text
    2

Affiliations

  • University of Oxford
    57
  • 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
    6