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212 results for “Data Drift”
Data from: Selfing ability and drift load evolve with range expansion
Colonization at expanding range edges often involves few founders, reducing effective population size. This process can promote the evolution of self-fertilization, but implicating historical processes as drivers of trait evolution is often difficult and requires an explicit model of biogeographic history. In plants, contemporary limits to outcrossing are often invoked as evolutionary drivers of self-fertilization, but historical expansions may shape mating system diversity, with leading-edge populations evolving elevated selfing ability. In a widespread plant, Campanula americana, we identified a glacial refugium in the southern Appalachian Mountains from spatial patterns of genetic drift among 24 populations. Populations farther from this refugium have smaller effective sizes and fewer rare alleles. They also displayed elevated heterosis in among-population crosses, reflecting the accumulation of deleterious mutations during range expansion. While populations with elevated heterosis had reduced segregating mutation load, the magnitude of inbreeding depression lacked geographic pattern. The ability to self-fertilize was strongly positively correlated with the distance from the refugium and mutation accumulation—a pattern that contrasts sharply with contemporary mate and pollinator limitation. In this and other species, diversity in sexual systems may reflect the legacy of evolution in small, colonizing populations, with little or no relation to the ecology of modern populations.
Data from: A coalescent-based estimator of genetic drift, and acoustic divergence in the Pteronotus parnellii species complex
Determining the processes responsible for phenotypic variation is one of the central tasks of evolutionary biology. While the importance of acoustic traits for foraging and communication in echolocating mammals suggests adaptation, the seldom-tested null hypothesis to explain trait divergence is genetic drift. Here we derive FST values from multi-locus coalescent isolation-with-migration models, and couple them with estimates of quantitative trait divergence, or PST, to test drift as the evolutionary process responsible for phenotypic divergence in island populations of the Pteronotus parnellii species complex. Compared to traditional comparisons of PST to FST, the migration-based estimates of FST are unidirectional instead of bidirectional, simultaneously integrate variation among loci and individuals, and posterior densities of PST and FST can be compared directly. We found the evolution of higher call frequencies is inconsistent with genetic drift for the Hispaniolan population, despite many generations of isolation from its Puerto Rican counterpart. While the Hispaniolan population displays dimorphism in call frequencies, the higher frequency of the females is incompatible with sexual selection. Instead, cultural drift toward higher frequencies among Hispaniolan females might explain the divergence. By integrating Bayesian coalescent and trait analyses, this study demonstrates a powerful approach to testing genetic drift as the default evolutionary mechanism of trait differentiation between populations.
Supporting data for Shi et al. "Geospace Concussion: Global reversal of ionospheric vertical plasma drift in response to a sudden commencement"
<p>This dataset contains the simulation data supporting the paper titled "Geospace Concussion: Global reversal of ionospheric vertical plasma drift in response to a sudden commencement", submitted by Shi et al., 2022.</p>
Data underlying the publication: "CAR36, a regional high-resolution ocean forecasting system for improving drift and beaching of Sargassum in the Caribbean Archipelago."
<p><strong>CAR36 dataset</strong></p><p>These data correspond to the <strong>1-year (2019)</strong> simulation from the regional ocean system CAR36. These <strong>daily hindcasts</strong> have been used in the study presented in the paper submitted in GMD editor and entitled: "CAR36, a regional high-resolution ocean forecasting system for improving drift and beaching of Sargassum in the Caribbean Archipelago", where the CAR36 system is fully described.</p><p><br>The uploaded files are in <strong>netcdf</strong> format:</p><ul><li><i>CAR36_daily_SSH_20190102-20191224.nc</i> = 1-year daily hindcasts of <strong>Sea Surface Height </strong></li><li><i>CAR36_daily_SST_20190102-20191224.nc </i>= 1-year daily hindcasts of <strong>Sea Surface Temperature</strong></li><li><i>CAR36_daily_SSU_20190102-20191224.nc</i> = 1-year daily hindcasts of <strong>Sea Surface Current Speed (zonal component)</strong></li><li><i>CAR36_daily_SSV_20190102-20191224.nc</i> = 1-year daily hindcasts of <strong>Sea Surface Current Speed (meridian component)</strong></li></ul><p>All data are projected on the native model tripolar<strong> ORCA grid</strong> <strong>in 1/36° </strong>horizontal resolution.</p><p>NB: In order to filter (in a 1st order) the semi-diurnal tidal signal (with a period of 12h30), the daily mean corresponds to a 25h-average. </p><p><strong>CAR36 software</strong></p><p>The NEMO_CAR36.tar file gathers the <strong>NEMO code configuration</strong> of the CAR36 model. This code follows the same license than NEMO one : <strong>CeCILL</strong>. A file named "License_CeCILL.txt" reminds the details of this license in the NEMO_CAR36.tar file.<br><br>NB.: This model have been renamed CAR36 (English acronym) for the paper instead of ARCAN36 (French initial acronym). In the provided NEMO code, the name ARCAN36 is still used. </p>
Archived data for: Balancing selection, genetic drift, and human mediated-introgression interplay to shape MHC (functional) diversity in Mediterranean brown trout
<p>The extraordinary polymorphism of Major Histocompatibility Complex (MHC) genes is considered a paradigm of pathogen-mediated balancing selection, although empirical evidence is still scarce. Furthermore, the relative contribution of balancing selection to shape MHC population structure and diversity, compared to that of neutral forces, as well as its interaction with other evolutionary processes such as hybridization, remains largely unclear. To investigate these issues, we analysed adaptive (MHC-DAB gene) and neutral (11 microsatellite loci) variation in 156 brown trout (<i>Salmo trutta </i>complex) from six wild populations in central Italy exposed to introgression from domestic hatchery lineages (assessed with the LDH gene). MHC diversity and structuring correlated with those at microsatellites, indicating the substantial role of neutral forces. However, individuals carrying locally rare MHC alleles/supertypes (regardless of the zygosity status and degree of sequence dissimilarity of MHC) were in better body condition (a proxy of individual fitness/parasite load), hence supporting balancing selection under rare allele advantage, but not heterozygote advantage or divergent allele advantage. The association between specific MHC supertypes and body condition confirmed in part this finding. Across populations, MHC allelic richness increased with increasing admixture between native and domestic lineages, indicating introgression as a source of MHC variation. Furthermore, introgression across populations appeared more pronounced for MHC than microsatellites, possibly because initially-rare MHC variants are expected to introgress more readily under rare allele advantage. Providing evidence for the complex interplay among neutral evolutionary forces, balancing selection and human-mediated introgression in shaping the pattern of MHC (functional) variation, our findings contribute to a deeper understanding of the evolution of MHC genes in wild populations exposed to anthropogenic disturbance.</p>
Data for: The hippocampal representation of context is preserved despite neural drift
<p>The hippocampus is thought to mediate episodic memory through the instantiation and reinstatement of context-specific cognitive maps. However, recent longitudinal experiments have challenged this view, reporting that most hippocampal cells change their tuning properties over days even in the same environment. Often referred to as<em> neural</em> or <em>representational drift</em>, these dynamics raise questions about the capacity and content of the hippocampal code. One such question is whether and how these long-term dynamics impact the hippocampal code for context. To address this, we imaged large CA1 populations over more than a month of daily experience as freely behaving mice participated in an extended geometric morph paradigm. We find that long-timescale changes in population activity occurred orthogonally to the representation of context in network space, allowing for consistent readout of contextual information across weeks. This population-level structure was supported by heterogeneous patterns of activity at the level of individual cells, where we observed evidence of a positive relationship between interpretable contextual coding and long-term stability. Together, these results demonstrate that long-timescale changes to the CA1 spatial code preserve the relative structure of contextual representation.</p>
PassengXR VR Headset IMU Drift Data
<p>Files with headset and vehicle-based IMU orientation data, which were compared to determine the level of IMU drift (inaccuracy) in the headset over time. From the measurements reported in "PassengXR: A Low Cost Platform for Any-Car, Multi-User, Motion-Based Passenger XR Experiences" (https://dl.acm.org/doi/10.1145/3526113.3545657)</p>
Plotting code and data for figures in ''Data Assimilation of Ion Drift Measurements for Estimation of Ionospheric Plasma Drivers''
<h2>2024_Hu_SpaceWeather_Data Assimilation of Ion Drift Measurements for Estimation of Ionospheric Plasma Drivers</h2> <p>This package includes the scripts and files for reproducing the plots (or subplots) in the paper, J. Hu, S. McDonald, A. Chartier, A. L. Rubio, S. Datta-Barua, Data Assimilation of Ion Drift Measurements for Estimation of Ionospheric Plasma Drivers, Space Weather.</p> <p> </p> <p> </p> <p>plotting_code_fig6.m : MATLAB code plotting the figure 6, SAMI3/IDA4D TEC global map</p> <p>---> calc_noon.m : MATLAB function calculating noon time location for the specific UT</p> <p>---> plot_tec_map.m : MATLAB function inside the plotting_code_fig.m</p> <p>plotting_code_fig8.m : MATLAB code plotting the figure 8, validation results compared to Millstone Hill Incoherent Scatter Radar measurements</p> <p>plotting_code_fig9.m : MATLAB code plotting the figure 9, validation results compared to SuperDARN measurements</p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Supplementary Data for Massively Parallel Implicit Equal-Weights Particle Filter for Ocean Drift Trajectory Forecasting
<p>This data repository is provided as a supplement to the paper *Massively Parallel Implicit Equal-Weights Particle Filter for Ocean Drift Trajectory Forecasting* written by Håvard Heitlo Holm, Martin Lilleeng Sætra and Peter Jan van Leeuwen. It contains the complete datasets (initial conditions and results of the ensemble simulations) obtained from the experiments presented therein.</p> <p>This data set is generated by, and can be further post-processed and visualized by, the code published as *metno/gpu-ocean: Supplementary Software for Massively Parallel Implicit Equal-Weights Particle Filter for Ocean Drift Trajectory Forecasting* by Håvard Heitlo Holm, Martin Lilleeng Sætra and André Rigland Brodtkorb (DOI 10.5281/zenodo.3458291). </p> <p> </p>
Preliminary data of drifting snow mass flux from the lower SPC at MOSAiC (2020-01-26 to 2020-02-04) for the submitted paper "Towards a fully physical representation of snow on Arctic sea ice using a 3D snow-atmosphere model"
<p>Preliminary data of lower SPC massflux from MOSAiC, for the time period 2020-01-26 -- 2020-02-04.</p> <p>1-h averaged time series of mass flux (kg/m²/h) to compare with the ALPINE3D simulation results.</p> <p>Will soon be replaced with a DOI / Repositiry at the Arctic Data Centre from BAS.</p>
Data from: Do chromosome rearrangements fix by genetic drift or natural selection? Insights from Brenthis butterflies
<p>Large-scale chromosome rearrangements, such as fissions and fusions, are a common feature of eukaryote evolution. They can have considerable influence on the evolution of populations, yet it remains unclear exactly how rearrangements become established and eventually fix. Rearrangements could fix by genetic drift if they are weakly deleterious or neutral, or they may instead be favoured by positive natural selection. Here we compare genome assemblies of three closely related <em>Brenthis</em> butterfly species and characterise a complex history of fission and fusion rearrangements. An inferred demographic history of these species suggests that rearrangements became fixed in populations with large long-term effective size (<em>N<sub>e</sub></em>). However, we also find large runs of homozygosity within individual genomes and show that a model of population structure with smaller local <em>N<sub>e</sub></em> can reconcile these observations. Using a recently developed analytic framework for characterising hard selective sweeps, we find that chromosome fusions are not enriched for evidence of past sweeps compared to other regions of the genome. Nonetheless, one chromosome fusion in the <em>B. daphne</em> genome is associated with a valley of diversity where genealogical branch lengths are distorted, consistent with a selective sweep. Our results suggest that drift is a stronger force in these populations than suggested by overall genetic diversity, but that the fixation of strongly underdominant rearrangements remains unlikely. Additionally, although chromosome fusions do not typically exhibit signatures of selective sweeps, a single example raises the possibility that natural selection may sometimes play a role in their fixation.</p>
Simulation Data for Electron Scattering due to Asymmetric Drift-Orbit Bifurcation: Geometric Jumps of Adiabatic Invariant
<p>Simulation dataset for the paper “Electron Scattering due to Asymmetric Drift-Orbit Bifurcation: Geometric Jumps of Adiabatic Invariant.” The archive “artemis_solar_dataset.zip” contains the solar wind magnetic field data used to plot Figure 1. The three “…_jump.txt” files are tracing data used to plot Figures 6a, 6b, and 6c, while “test_particle.txt” is the tracing data for Figure 5. The file “t04_L_shells__Pd_4.00_B_5.00_theta_225.txt” provides magnetic field B(s, MLT) profiles at different L-shells (used to plot Figure 7); each line corresponds to a specific MLT sector at one specific L-shell.</p>
Data for: The hippocampal representation of context is preserved despite neural drift
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Data from: the Self-Calibrating Tilt Accelerometer: a method for observing tilt and correcting drift with a triaxial accelerometer
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Data from: Divergent selection and drift shape the genomes of two avian sister species spanning a saline-freshwater ecotone
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Data from: Developmental system drift in the patterning of the arthropod tarsus
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Data from: Do chromosome rearrangements fix by genetic drift or natural selection? Insights from Brenthis butterflies
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Data from: A coalescent-based estimator of genetic drift, and acoustic divergence in the Pteronotus parnellii species complex
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Data from: Selfing ability and drift load evolve with range expansion
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Data from: It is better to be choosy in small populations: Drift promotes the evolution of weak female preference for rare phenotypes
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OpenNeuro
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