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1,249 results for “R data”
Data, sample sizes, and R code for analysis of: Variation in mutation (co)variances
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Data for: Multi-trait/environment sparse genomic prediction using the SFSI R-package
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Evaluating drivers of female dominance in the spotted hyena: R code and data
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Data and R analysis code: Asian elephants distinguish sexual status and identity of unfamiliar elephants using urinary odours
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Data for Rapid phenotypic differentiation and local adaptation in Japanese knotweed s.l. (Reynoutria japonica and R. × bohemica, Polygonaceae) invading novel habitats
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DNA sequence data for two Roscoea species, R. stenophylla and R. australis (Zingiberaceae)
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Data and R code for: Handling- or digestion-limited predator: the role of body masses and habitat complexity in predator-prey feeding interaction
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Data and R code from: Modelling the evolution of cognitive styles
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Data and R scripts from: Using conservation genetics to prioritise management options for an endangered songbird
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Data from: Exploring density and frequency dependent interactions experimentally: an R program for generating hexagonal fan designs.
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Data and R code for “Both weather and resources influence masting in chestnut oak (Quercus montana Willd.) and black oak (Q. velutina Lam.)”, Plant Ecology, 2021
Masting is the synchronous and highly variable production of fruit within a population. Although several hypotheses have been proposed to explain why and how masting evolved in plants as a reproductive strategy, the factors that trigger a large reproductive effort in a particular year are still not well understood. While both weather and resources have been proposed to play an important role, testing these hypotheses has been challenging due to a lack of long-term data and appropriate experimental designs. In this manuscript, we used 18 years of acorn production data to analyze the relationship between resources, weather, and masting in black oak (Quercus velutina) and chestnut oak (Q. montana). The data were collected in southeast Ohio as part of the Fire and Fire Surrogate (FFS) study, which applied silvicultural treatments (i.e., thinning and prescribed fires) to reduce competition and manipulate resources. We found species-specific responses to the thinning and fire treatments, with an overall increase in acorn production for chestnut oak in the thin + burn treatment and an increase for black oak in the thin-only treatment compared to the control. Chestnut oak reproduction also had strong positive relationships with warm spring temperatures, and a positive change in summer temperatures compared to the previous year (i.e., summer temperatures that went from cool to warm). For black oak, warm spring temperatures increased acorn production while later starts to spring warming the year before decreased acorn production. These results support the hypotheses that both resources and weather (as a cue and as a limiting factor) are important for masting in oaks. Thus, both factors should be included in predictive models for acorn production under current and future climate conditions.
Data file for paper: Javier Rubio-Garcia; Anthony R J Kucernak, Rutao Liu and Barun K Chakrabarti "Hydrogen/functionalized benzoquinone for a high-performance regenerative fuel cell as a potential large-scale energy storage platform"
<p>The data in this spreadsheet was used to produce the figures in the paperJavier Rubio-Garcia; Anthony R J Kucernak, Rutao Liu and Barun K Chakrabarti "Hydrogen/functionalized benzoquinone for a high-performance regenerative fuel cell as a potential large-scale energy storage platform"Journal of Materials Chemistry A, 2020, DOI: 10.1039/C9TA12396B</p> <p>Please cite the above reference if you wish to use this data</p>
R-R HRV data from Biofeedback on 100 patients
<p>Psychiatric patients with adverse childhood experiences (ACE) tend to be dysfunctional in the interoceptive part of their emotional experience. The integration of interoceptive emotional activity in the insular and cingulate cortices is linked to the regulation of sympathovagal balance. This makes heart rate variability (HRV) an ideal measure for providing feedback on emotion regulation in real time. A sample of one hundred (n=100) outpatients is included in this release. Most patient underwent 8 sessions. Se published article for more details.</p>
Data from: Non-random association of MHC-I alleles in favor of high diversity haplotypes in wild songbirds revealed by computer-assisted MHC haplotype inference using the R package MHCtools
<p><strong>Data set from:</strong></p> <p>Roved J., Hansson B., Stervander, M., Hasselquist D., & Westerdahl H. (2020). Non-random association of MHC-I alleles in favor of high diversity haplotypes in wild songbirds revealed by computer-assisted MHC haplotype inference using the R package MHCtools.</p>
Supporting R-code and data for "Why are population growth rate estimates of past and present hunter-gatherers so different?" (Tallavaara and Jørgensen, 2020)
<p>This submission contains data and R-code that enable to reproduce the data manipulations and analyses in the paper “Why are population growth rate estimates of past and present hunter-gatherers so different?” by Miikka Tallavaara and Erlend Kirkeng Jørgensen (Philosophical transactions of the Royal Society B). Please, cite the paper and this Zenodo repository if you use the files included in this Zenodo record in your work.</p> <p>The submission includes a html-file titled “Why are population growth rate estimates of past and present hunter-gatherers so different? - Data analyses” (TJ2020.html) that contains R-code and instructions and comments for running the code (open this file in your browser). In addition, the submission includes Rdata-file (dataTJ2020.Rdata) containing all the data that are not created within the code and pure R-code (TJ2020.R).</p>
R code and raw data
<p>R code and raw data</p>
Supplementary material 3 from: Petersen M, Pramann B, Toepfer R, Neumann J, Enke H, Hoffmann J, Mauer R (2020) Research Data Management - Current status and future challenges for German non-university research institutions. Research Ideas and Outcomes 6: e55141. https://doi.org/10.3897/rio.6.e55141
Praxisbericht: Entwicklung eines Maßnahmenkatalogs zur Verbesserung des Forschungsdatenmanagements am Herder-Institut für historische Ostmitteleuropaforschung
Data and R code used in Delory et al (2020) Soil chemical legacies trigger species-specific and context-dependent root responses in later arriving plants
<p>This repository contains the data and R markdown files supporting the findings presented in Delory et al (2020) Soil chemical legacies trigger species-specific and context-dependent root responses in later arriving plants.</p>
Data and R Markdown files for: Estimating the capacity of Chamaecrista fasciculata for adaptation to change in precipitation
<p>Adaptation through natural selection may be the only means by which small and fragmented plant populations will persist through present day environmental change. A population's additive genetic variance for fitness (V<sub>A</sub>(W)) represents its immediate capacity to adapt to the environment in which it exists. We evaluated this property for a population of the annual legume <i>Chamaecrista fasciculata</i> through a quantitative genetic experiment in the tallgrass prairie region of the Midwest USA, where changing climate is predicted to include more variability in rainfall. To reduce incident rainfall, relative to controls receiving ambient rain, we deployed rain exclusion shelters. We found significant V<sub>A</sub>(W) in both treatments. We also detected a significant genotype-by-treatment interaction for fitness which suggests that the genetic basis of the response to natural selection will differ depending on precipitation. For the trait specific leaf area, we detected maladaptive phenotypic plasticity and an interaction between genotype and environment. Selection for thicker leaves was detected with increased precipitation. These results indicate capacity of this population of <i>C. fasciculata</i> to adapt <i>in situ</i> to environmental change.</p>
R code, spatial and tabular data to fully reproduce STEPS simulations of population change for common brushtail possum, grassland melomys and northern brown bandicoot in northern Australia
<ol> <li> <p>The development of effective fire management for biodiversity conservation is a global challenge. The highly dynamic nature of fire, the difficulty in replicating 'real-world' fire experiments, and the need to understand population changes at large spatiotemporal scales make computer simulations particularly useful for identifying optimal fire management regimes for biodiversity conservation. </p> </li> <li> <p>We aimed to develop a flexible modelling approach with which to investigate how the spatiotemporal application of fire (i.e. management scenarios) influences savanna biodiversity. We used existing data from a landscape-scale fire experiment to develop population simulations for the common brushtail possum (<i>Trichosurus vulpecula</i>), grassland melomys (<i>Melomys burtoni</i>) and northern brown bandicoot (<i>Isoodon macrourus</i>) across the Kapalga area of Kakadu National Park in northern Australia. We simulated how populations were expected to change between 1995 and 2015 in response to the fire patterns observed at Kapalga over this period, and under a hypothetical management scenario of extensive prescribed burning.</p> </li> <li> <p>Our models predicted a substantial decline in all three species in response to the observed fire regime at Kapalga, suggesting that the fire patterns observed at Kapalga, with the associated mechanisms and interactions with other ecological processes, were not conducive with the persistence of native mammal populations. </p> </li> <li> <p>Our prescribed burning scenario had little effect on the predicted population trajectory of the common brushtail possum and grassland melomys, but markedly improved the population trajectory of the northern brown bandicoot. These inconsistencies highlight the need for a nuanced approach to fire management across northern Australian savannas, that is tailored to local conditions and management objectives. </p> </li> <li> <p>Synthesis and applications. The modelling approach outlined here, provides a basis for identifying fire patterns that are beneficial for conserving biodiversity, thereby increasing our capacity to establish clear targets for prescribed fire management. Importantly, this approach is flexible and can be easily adapted to other taxa and fire-prone ecosystems.</p> </li> </ol>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.