Dryad Digital Repository (Duke University)

Dryad Digital Repository

Dryad Digital Repository (Duke University)
Not a member yet
    197463 research outputs found

    OR2015

    No full text
    Preliminary orchard experiment in 2015. Refer to METADATA file for description

    Data from: S-cone photoreceptors in the primate retina are functionally distinct from L and M cones

    No full text
    Daylight vision starts with signals in three classes of cone photoreceptors sensitive to short (S), middle (M), and long (L) wavelengths. Psychophysical studies show that perceptual sensitivity to rapidly varying inputs differs for signals originating in S cones versus L and M cones; notably, S-cone signals appear perceptually delayed relative to L- and M-cone signals. These differences could originate in the cones themselves or in the post-cone circuitry. To determine if the cones could contribute to these and related perceptual phenomena, we compared the light responses of primate S, M, and L cones. We found that S cones generate slower light responses than L and M cones, show much smaller changes in response kinetics as background-light levels increase, and are noisier than L and M cones. It will be important to incorporate these differences into descriptions of how cone signaling shapes human visual perception

    Source data

    No full text
    This folder has four matlab .mat files. This should contain raw data for Figs. 1, 2, 4, 5, 6, 7. It isn't all data for all the figures, but there is example data for those. flash_responses.mat has data from all of Fig 1 and parts of Figs. 2 and 5; sbc_examples.mat has data for figure 6; cellular_noise.mat has data for figure 7; cone_linear_filters.mat has data from figure 4. Readme file is in the folder

    image_list

    No full text
    Table of all fox images and their associated fox IDs, for one patch surveyed in summer 2013, autumn 2013, winter 2013-14 and spring 2014. Field descriptions are in image_list_field_descriptions.csv

    Dead adult counts

    No full text
    Counts of dead adults for each population cage ("Box"

    Data from: Plant geographic origin and phylogeny as potential drivers of community structure in root-inhabiting fungi

    No full text
    1. Root-inhabiting fungal communities, including mutualists and antagonists, influence host plant performance, and can potentially shape plant community composition. However, there is uncertainty about how root-inhabiting fungal communities are structured, and if fungal community characteristics are significant predictors of host plant abundance. 2. In this study, we first assessed how root-inhabiting fungal communities were structured in relation to the phylogeny and geographic origins (native vs exotic) of their host plants in an old-field community. In addition, we took into consideration the spatial arrangements (i.e. physical locations) of the individual host plants. We then tested if the relative abundances of pathogenic and beneficial arbuscular mycorrhizal (AM) fungi could predict host plant abundances. 3. We found that host plant phylogeny was an important factor in structuring the whole fungal community, irrespective of host plant origin. Furthermore, the spatial arrangements of individual host plants were a strong predictor of AM fungal community structure. Host plant phylogeny and spatial arrangements appeared to similarly affect the structure of pathogenic fungal communities. No distinct differences were observed between native and exotic plant species in fungal community characteristics. The relative abundances of AM and pathogenic fungi were not significant predictors for observed abundances of their host plants. 4. Synthesis. Host plant phylogeny and spatial arrangements can structure naturally occurring root-inhabiting fungal communities. The absence of distinct differences in fungal community composition, including pathogens, in exotic and native plants suggests long residence times and the consequent naturalization of exotic species in the region, allowing for the establishment of similar plant-microbial interactions between native and exotic species

    tracking.data.vandenbosch.et.al

    No full text
    GPS tracking data used for van den Bosch et al. A full description of the data can be found here: https://ipt.inbo.be/resource.do?r=bird-tracking-gull-occurrences#downloads. [Citation: Stienen EWM, Desmet P, Aelterman B, Courtens W, Feys S, Vanermen N, Verstraete H, Van de walle M, Deneudt K, Hernandez F, Houthoofdt R, Vanhoorne B, Bouten W, Buijs RJ, Kavelaars MM, Müller W, Herman D, Matheve H, Sotillo A, Lens L (2014): Bird tracking - GPS tracking of Lesser Black-backed Gulls and Herring Gulls breeding at the southern North Sea coast. Research Institute for Nature and Forest (INBO). Dataset/Occurrence. http://doi.org/10.15468/02omly Data paper: http://doi.org/10.3897/zookeys.555.6173

    sampleInfo_with_rich_diversity

    No full text
    Sample metadata. Includes treatment information & richness and diversity estimate

    Data from: Direct and indirect genetic effects on reproductive investment in a grasshopper

    No full text
    A fundamental part of the quantitative genetic theory deals with the partitioning of the phenotypic variance into additive genetic and environmental components. During interaction with conspecifics, the interaction partner becomes a part of the environment from the perspective of the focal individual. If the interaction effects have a genetic basis, they are called indirect genetic effects (IGEs) and can evolve along with direct genetic effects. Sexual reproduction is a classic context where potential conflict between males and females can arise from trade-offs between current and future investments. We studied five female fecundity traits, egg length and number, egg pod length and number and latency to first egg pod, and estimated the direct and IGEs using a half-sib breeding design in the grasshopper Chorthippus biguttulus. We found that the male IGEs were an order of magnitude lower than the direct genetic effects and were not significantly different from zero. However, there was some indication that IGEs were larger shortly after mating, consistent with the idea that IGEs fade with time after interaction. Female direct heritabilities were moderate to low. Simulation shows that the variance component estimates can appear larger with less data, calling for care when interpreting variance components estimated with low power. Our results illustrate that the contribution of male IGEs is overall low on the phenotypic variance of female fecundity traits. Thus even in the relevant context of sexual conflict, the influence of male IGEs on the evolutionary trajectory of female reproductive traits is likely to be small

    Data from: Monitoring vultures in the 21st century: the need for standardized protocols

    No full text
    This article calls on scientists, managers and organizations focused on vulture conservation to promote and use standardized monitoring programs based on sampling of molted feathers

    0

    full texts

    197,463

    metadata records
    Updated in last 30 days.
    Dryad Digital Repository (Duke University) is based in United States
    Access Repository Dashboard
    Do you manage Dryad Digital Repository (Duke University)? Access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard!