Find research datasets worth reusing

opencc-zeroDec 2017View details →

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.

opencc-by-4.0Jun 2017View details →

Estimates for the stiffness, strength and drift capacity of stone masonry walls based on 123 quasi-static cyclic tests reported in the literature

Database of 123 shear and compression tests on stone masonry walls reported in the literature. Test references, geometrical and typological data, loading and boundary conditions, mechanical characterisation data, and synthetic test results are collected. Such test results include failure mode, force and displacement capacities for different limit states and estimates of the elastic and effective stiffness. Hysteretic force-displacement curves, digitalised from the sources, and the derived envelopes are provided, when available, as .csv files.

Supporting data for Shi et al. "Geospace Concussion: Global reversal of ionospheric vertical plasma drift in response to a sudden commencement"

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.

opencc-by-4.0Sep 2023View details →

Data underlying the publication: "CAR36, a regional high-resolution ocean forecasting system for improving drift and beaching of Sargassum in the Caribbean Archipelago."

CAR36 datasetThese data correspond to the 1-year (2019) simulation from the regional ocean system CAR36. These daily hindcasts 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. The uploaded files are in netcdf format:<ul><li>CAR36_daily_SSH_20190102-20191224.nc = 1-year daily hindcasts of Sea Surface Height </li><li>CAR36_daily_SST_20190102-20191224.nc = 1-year daily hindcasts of Sea Surface Temperature</li><li>CAR36_daily_SSU_20190102-20191224.nc = 1-year daily hindcasts of Sea Surface Current Speed (zonal component)</li><li>CAR36_daily_SSV_20190102-20191224.nc = 1-year daily hindcasts of Sea Surface Current Speed (meridian component)</li></ul>All data are projected on the native model tripolar ORCA grid in 1/36° horizontal resolution.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. CAR36 softwareThe NEMO_CAR36.tar file gathers the NEMO code configuration of the CAR36 model. This code follows the same license than NEMO one : CeCILL. A file named "License_CeCILL.txt" reminds the details of this license in the NEMO_CAR36.tar file. 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.

opencc-byFeb 2021View details →

Warren Moor Mine and drifts

Near Kildale, North York Moors https://www.northyorkmoors.org.uk/looking-after/landofiron/explore Source: Objaverse 1.0 / Sketchfab

opencc-zeroJan 2024View details →

Evidence that genetic drift not adaptation drives fast-Z and large-Z effects in Ficedula flycatchers

The sex chromosomes have been hypothesized to play a key role in driving adaptation and speciation across many taxa. The reason for this is thought to be the hemizygosity of the heteromorphic part of sex chromosomes in the heterogametic sex, which exposes recessive mutations to natural and sexual selection. The exposure of recessive beneficial mutations increases their rate of fixation on the sex chromosomes, which results in a faster rate of evolution. In addition, genetic incompatibilities between sex-linked loci are exposed faster in the genomic background of hybrids of divergent lineages, which makes sex chromosomes contribute disproportionately to reproductive isolation. However, in birds, which show a Z/W sex determination system, the role of adaptation vs. genetic drift as the driving force of the faster differentiation of the Z chromosome (fast-Z effect) and the disproportionate role of the Z chromosome in reproductive isolation (large-Z effect) are still debated. Here, we address this debate in the bird genus Ficedula flycatchers based on population-level whole-genome sequencing data of six species. Our analysis provides evidence for both faster lineage sorting and reduced gene flow on the Z chromosome than the autosomes. However, these patterns appear to be driven primarily by the increased role of genetic drift on the Z chromosome, rather than an increased rate of adaptive evolution. Genomic scans of selective sweeps and fixed differences in fact suggest a reduced action of positive selection on the Z-chromosome. Nevertheless, it is possible that the faster lineage sorting of the Z chromosome due to genetic drift may help drive the evolution of genetic incompatibilities between species.

opencc-by-4.0Mar 2024View details →

Mediterranean Sea, NEMO4.2 / WW3 uncoupled and coupled surface: stress, currents and Stokes Drift

<pre>The NEMO version 4.2 has been updated to include new processes related to wave-current interactions. A set of sensitivity experiments are performed using the hydrodynamic model, NEMO v4.2 standalone and coupled with the spectral wave model WaveWatchIII (WW3) v6.07 through the OASIS library. The configuration is based on the operational Copernicus Marine Service Mediterranean forecasting physical system (MedFS). Both models are implemented at 1/24° resolution and are forced by ECMWF 1/10° horizontal resolution atmospheric fields. Two-year (2019-2020) numerical experiments are carried out in both uncoupled and 1 way coupled mode. This dataset contains the NEMO output of the daily surface fields for the surface stress, the surface currents and the Stokes drift for the uncoupled and coupled experiments. This dataset was created in the context of the IMMERSE H2020 project.</pre>

opencc-by-4.0Mar 2024View details →

Results from simulated drift trajectories of driting Fish Aggregating Devices used in Figures for paper Escalle et al., (2024) Simulating drifting fish aggregating device trajectories to identify potential interactions with endangered sea turtles

Escalle et al., (2024) Simulating drifting fish aggregating device trajectories to identify potential interactions with endangered sea turtles <a href="../doi/10.5281/zenodo.10815559">https://zenodo.org/doi/10.5281/zenodo.10815559</a> Results data description The above doi contains simulation output data generated from passive drift simulations of drifting FADs in the Pacific ocean. We refer the reader to the main text of the paper for details and definitions of the different zones and simulation experiments. All data files are matrices stored in comma-delimited files (.csv), where the first provides the column names of the matrix, and the first column provides the row names. The first cell in row 1, column 1 is simply a placement value that describes the nature of the matrix.  When this value is a hash symbol (#), it denotes that the matrix represents a spatial density of virtual particles under a particular drift scenario and over a particular period of time. Column names provide the latitude indices of each cell, and row names are the longitude indices. Values are the proportion of all particules in the domain that passed through this cell, during the drift-time window of this results file (see below). When the first cell value is a hash followed by a code (e.g. # EqZ), it denotes that the file represents a connectivity matrix between the zones given by the code (e.g. Equatorial Zones EqZ or Fishing Zones FZ) and defined in the row names of the matrix, and the turtle zones defined by the column names. Values are the proportion of particules beginning the zone defined by the row name at the start of the simulation, which are now present in the zone defined by the column name. Files name follow a convention describing the deployment and drift-time scenario they represent. For spatial density matrices: [Origin Zones]_[Subset]_Density_[Drift Time]_....csv For connectivity/transition matrices: [Origin Zones]_[Drift Time]_[Number of Simulations Run]_TransitionMatrix_....csv

Triple collocations of SST observations from ATSR-2/AATSR, drifting buoys and TMI/AMSR-E.

Triple collocations of SST observations from ATSR-2/AATSR, drifting buoys and TMI/AMSR-E. The ATSR-2/AATSR observations are from the respective prouct of CCI SST Phase 1 (Merchant, C.J.; Embury, O.; Roberts-Jones, J.; Fiedler, E.K.; Bulgin, C.E.; Corlett, G.K.; Good, S.A.; McLaren, A.; Rayner, N.A.; Donlon, C. (2014): ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI): Along-Track Scanning Radiometer (ATSR) level 3 uncollated data (L3U) long-term product version 1.1. NERC Earth Observation Data Centre, 29 May 2014. doi:10.5285/79229cee-71ab-48b6-b7d6-2fceccead938. http://dx.doi.org/10.5285/79229cee-71ab-48b6-b7d6-2fceccead938). The observations of TMI/AMSR-E are from version 7 produced by Remote Sensing Systems. TMI data were produced by Remote Sensing Systems and sponsored by the NASA Earth Sciences Program. Data are available at www.remss.com/missions/tmi. AMSR data are produced by Remote Sensing Systems and were sponsored by the NASA AMSR-E Science Team and the NASA Earth Science MEaSUREs Program. Data are available at www.remss.com.

Triple collocations of SST observations from ATSR-2/AATSR, drifting buoys and TMI/AMSR-E.

opencc-zeroMar 2022View details →

Archived data for: Balancing selection, genetic drift, and human mediated-introgression interplay to shape MHC (functional) diversity in Mediterranean brown trout

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 (Salmo trutta 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.

opencc-zeroApr 2022View details →

Data for: The hippocampal representation of context is preserved despite neural drift

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 neural or representational drift, 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.

Dataset from: Impact of the electron density and temperature gradient on drift-wave turbulence in LAPD

In this paper we present an experimental study of edge turbulence in the Large Plasma Device at UCLA. We utilize a scan of discharge power to show experimentally that turbulent density fluctuations decrease with decreasing density gradient, as predicted for resistive drift wave turbulence. We also observe that the introduction of electron temperature gradients leads to a reduction in the amplitude of the density fluctuations. The electron temperature gradient reduces the low frequency fluctuations up to 10 kHz, while at higher frequencies, a π phase shift in the density-potential cross-phase is observed. We find that the potential fluctuations do not follow the same trends and that the basic Boltzmann relationship between potential and density fluctuations is violated. We also discuss the impact of collisionality and parallel flows.

opencc-by-4.0Sep 2022View details →

DQM for Drift Tube Chambers

Dataset for DQM for Drift Tube Chambers. The dataset include a reference sample and smaller data samples characterized by anomalous effects. Plots for data visualization are provided.

opencc-by-4.0Apr 2024View details →

Distributed predictive QoS in presence of network- and mobility-related drifts

The datasets represent a dynamic environment, where several client-vehicles are moving in an urban area. Each client runs a streaming cloud service constantly receiving data packets. Network simulation is performed using Simu5G, a library that emulates a 5G cellular environment in OMNeT++. The simulator's radio parameters are set according to the Macro-cell model proposed by International Telecommunication Union. The map comprises of an urban 600x600 square meters area located in a suburb of a European capital. Inside this area four 5G base-stations (gNodeBs) have been installed by the national network operator, enabling four 5G cells. This area, divided into several blocks by the actual road network is integrated in our simulation by an OpenStreetMap (OSM) instance. The total number of included vehicles is set to 25, according to vehicle density statistics in the corresponding country. The road network's traffic is simulated by SUMO that creates a digitized version of the (real-world) OSM map and produces the route files for the vehicles. Route files are loaded in the Simu5G simulator, where a network-vehicular mobility co-simulation takes place. For each vehicle's route we assume SUMO's default parameters for urban environment: exponential speed model (with maximum speed restriction as defined by the OSM traffic rules) and the probability matrix at intersections for {lane keeping, turn left and right} as {0.5, 0.25 and 0.25}, respectively. The following information is collected for each vehicle using OMNeT++'s monitoring service: timestamp, channel quality indicator, packet delay, measured signal to noise ratio (SNR), client position (x,y,z), client velocity (x,y,z), received SNR, radio link control throughput, serving cell, client throughput. These features are sampled at 1 Hz and comprise the values of our synthetic time-series QoS dataset.  We have created two drift datasets that correspond to complementary cases of major long-term changes in the considered environment: 1) a network infrastructure-driven scenario (Sc1) and 2) a human behavior-driven scenario (Sc2). In Sc1 we assume that two out of four gNodeBs are switched off under a cost-reduction on/off policy or an infrastructure-share strategy (adopted by MNOs) that would imply such changes. For Sc2 we modify the users' mobility pattern; we assume that a "hotspot" e.g., a metro station is created in the lower-right edge of the map resulting in a traffic increase to that area. This is achieved by increasing the probabilities of the routes leading to the "hotspot" in SUMO's route planning. All generated datasets have a total duration of 20 hrs (simulation time) and the respective drift event is introduced at t=10 hrs.

opencc-by-4.0Apr 2024View details →

PassengXR VR Headset IMU Drift Data

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)

opencc-zeroJun 2024View details →

Monkey V1/V2 neuronal population response to drifting gratings with varying orientation and contrast

Correlated variability in the visual cortex is modulated by stimulus properties. The stimulus dependence of correlated variability impacts stimulus coding and is indicative of circuit structure. An affine model combining a multiplicative factor and an additive offset has been proposed to explain how correlated variability in primary visual cortex (V1) depends on stimulus orientations. However, whether the affine model could be extended to explain modulations by other stimulus variables or variability shared between two brain areas is unknown. Motivated by a simple neural circuit mechanism, we modified the affine model to better explain the contrast-dependence of neural variability shared within either primary or secondary visual cortex (V1 or V2) as well as the orientation-dependence of neural variability shared between V1 and V2. Our results bridge neural circuit mechanisms and statistical models, and provide a parsimonious explanation for the stimulus-dependence of correlated variability within and between visual areas.

opencc-by-4.0May 2024View details →

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> 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.     plotting_code_fig6.m : MATLAB code plotting the figure 6, SAMI3/IDA4D TEC global map ---> calc_noon.m : MATLAB function calculating noon time location for the specific UT ---> plot_tec_map.m : MATLAB function inside the plotting_code_fig.m plotting_code_fig8.m : MATLAB code plotting the figure 8, validation results compared to Millstone Hill                                                   Incoherent Scatter Radar measurements plotting_code_fig9.m : MATLAB code plotting the figure 9, validation results compared  to SuperDARN                                                   measurements

opencc-by-4.0Nov 2018View details →

Dataset for "Drift instabilities in thin current sheets using a two fluid model with pressure tensor effects"

Data for publication of the same title submitted to JGR space physics. Quantities and plotting scripts for the eigenmode figures are in the zip file. Simulation data for the time slice used in the figure are in the lhdi.tar and lhdi-fluid-2x2v.h5 files. "lhdi-fluid-2x2v.h5" contains electric field data for the five- and local ten-moment fluid simulations in 2x2v. The tar file contains kinetic simulation data, nonlocal ten-moment data, and the five- and ten-moment simulations using 2x3v.  This is an update to the old dataset with the additional 2x2v simulation data.