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54 results for “Dynamical Core”
Research data supporting "Surface dynamics and ligand-core interactions of quantum size photoluminescent gold nanoclusters"
<p>Experimental research raw data supporting the publication by Lin, Y. et al, 2018, Surface dynamics and ligand-core interactions of quantum sized photoluminescent gold nanoclusters, Journal of the American Chemical Society. DOI: 10.1021/jacs.8b04436</p> <p>Molecular simulation data is available upon reasonable request from irene.yarovsky@rmit.edu.au.</p>
input data for topo_drag.f90 using GFDL dynamical cores
<p> Use XXX=150 for T85, and XXX=300 for T42. Remember to change the file names in the source code or rename these input files accordingly.</p>
Data and Code Supplement for "A Mountain-Induced Moist Baroclinic Wave Test Case for the Dynamical Cores of Atmospheric General Circulation Models"
<p>Code and Data Supplement for "A Mountain-Induced Moist Baroclinic Wave Test Case for the Dynamical Cores of Atmospheric General Circulation Models"<br> ===========================================================</p> <p>This directory contains the data and scripts used to create the plots from our publication as well as the source<br> code modifications necessary to run this test case within the CESM and MPAS models.</p> <p>Generating Plots<br> ---------------</p> <p>The `netcdf` directory contains the nominal half-degree runs necessary to generate nearly all of the plots from the paper. The one plot which is not reproducible from these data is the volume-integrated Eddy Kinetic Energy in the Spectral Element model. Storing high-resolution 4D wind fields requires a prohibitive amount of space. These data can be provided by the corresponding author, O.K. Hughes (owhughes@umich.edu). However, because this is several hundred GB of data I would strongly recommend generating these high-resolution runs yourself on your local system if you need them. Using 288 Intel Skylake cores (that is, 8 nodes each with two 18C processors) ran on the order of an hour.</p> <p><em>In order to generate the plots from the paper, you need only install NCL and then run</em> run.bash. Instructions for installing NCL<br> can be found in the `run.bash` script.</p> <p>Source Code Modifications<br> ----------------</p> <p><strong>CESM</strong><br> The `src` subdirectory contains the files `user_nl_cam` and `ic_baroclinic.F90`. Create a case using `--compset=FKESSLER` and `--run-unsupported` options when running `create_newcase`. If your case is located at `${CASE_DIR}`, then from within the directory containing this README, run `cp user_nl_cam ${CASE_DIR}/user_nl_cam`, and then run `cp ic_baroclinic.F90 ${CASE_DIR}/SourceMods/src.cam/`. Then build and run the model using the usual workflow.</p> <p><strong>MPAS</strong></p> <p>The MPAS code was run using a branch of the MPAS model provided by the model developers to the authors. While the source code modifications are provided in the `src` directory, I would strongly recommend contacting the corresponding author if you wish to run this test case in the MPAS codebase.</p>
Implementation of the novel Duo-Grid in GFDL's FV3 Dynamical Core - Code and simulations files
<p>Supporting simulation files and code for the JAMES technical paper: Implementation of the novel Duo-Grid in GFDL’s FV3 Dynamical Core. This study tests the Duo-Grid implementation in FV3 through idealized 2D and 3D simulations to address the issue of cubed sphere grid imprinting. Please note that the provided code is still a test version. It is compiled with the FMS version tag 2020.04.</p>
Quantifying spatiotemporal occupancy dynamics and multi-year core use areas at a species range boundary
<p><b>Aim</b></p> <p>Many species face large-scale range contractions and predicted distributional shifts in response to climate change, shifting forest characteristics, and anthropogenic disturbances. Canada lynx (<i>Lynx canadensis</i>) are listed as threatened under the U.S. Endangered Species Act and were recently recommended for delisting. Predicted climate-driven losses in habitat quality and quantity may negatively affect the northeastern Minnesota lynx population, one of six remaining resident populations in the contiguous United States. We develop a large-scale monitoring protocol and dynamic occupancy modeling framework to identify multi-year core use areas and track spatiotemporal occurrence at the southern periphery of the species range.</p> <p> </p> <p><b>Location</b></p> <p>Northeastern Minnesota lynx geographic unit, Superior National Forest, and designated critical habitat, Minnesota, USA.</p> <p> </p> <p><b>Methods</b></p> <p>Spatially and temporally replicated snow track surveys were used to collect lynx detection/non-detection data across five winters (2014–15 to 2018–19) covering >17,000 km within the 22,100 km<sup>2</sup> study area. We used a dynamic occupancy model to evaluate lynx occupancy, persistence, colonization, and habitat covariates affecting these processes.</p> <p> </p> <p><b>Results</b></p> <p>Lynx occupancy probabilities displayed high spatial and temporal variability, with grid cell-specific probabilities ranging from 0.0 in periphery regions to consistently near 1.0 in multi-year core use areas, indicating low turnover rates in those areas. Lynx colonization and persistence increased in areas with more evergreen forest and greater average snowfall, while forest characteristics (3–5 m and 10–30 m vegetation density) had mixed relationships with occupancy dynamics. We identified 55 grid cells classified as multi-year core use areas across relatively contiguous regions of high average snowfall and percent conifer forest.</p> <p> </p> <p><b>Main conclusions</b></p> <p>Our study demonstrates a landscape-scale multi-year monitoring program assessing the effects of habitat characteristics and anthropogenic factors on species distributional changes and landscape-level occupancy dynamics. Our framework incorporating landscape-scale resource selection, core use area concepts, and dynamic occupancy models provides a flexible approach to identify population-level mechanisms driving species persistence and key areas for conservation protection.</p>
Supporting data used in the paper: Xi Chen, 2020, The LMARS based shallow-water dynamical core on generic gnomonic cubed-sphere geometry
<p># Simulation results of the unstaggered shallow water model</p> <p>This repository contains the supporting data used in the paper: Xi Chen, 2020, The LMARS based shallow‐water dynamical core on generic gnomonic cubed‐sphere geometry, DOI: 10.1029/2020MS002280</p> <p><br> Organization of the repository:</p> <p>The tar archive with this data submission has a:</p> <p>doc directory contains a README.md with information regarding naming conventions to label the model configurations for a shallow water test simulation. Additional information can also be found in README.md. Table 4 in the paper provides additional details.</p> <p>The data directory contains the supporting data files (NetCDF format). </p> <p> </p>
Data from: Colonisation dynamics during range expansion is poorly predicted by dispersal in the core range
The potential ranges of many species are shifting due to changing ecological conditions. Where populations become patchy towards the range edge, the realised distribution emerges from colonisation-persistence dynamics. Therefore, a greater understanding of the drivers of these processes, and the spatial scales over which they operate, presents an opportunity to improve predictions of species range expansion under environmental change. Species reintroductions offer an ideal opportunity to investigate the drivers and spatial scale of colonisation dynamics at the range edge. To this effect, we performed and monitored experimental translocations of water voles to quantify how colonisation and local persistence were influenced by habitat quality and occupancy. We used a novel statistical method to simultaneously consider effects across a range of spatial scales. Densely occupied neighbourhoods were highly persistent and frequently colonised. Persistence was more likely in high quality habitat, whereas influence of habitat quality on colonisation was less clear. Colonisation of suitable habitat in distant, sparsely occupied areas was much less frequent than expected from the well documented high dispersal ability of the species. Persistence of these distant populations was also low, which we attribute to the absence of a rescue effect in sparsely populated neighbourhoods. Our results illustrate a mismatch between the spatial scales of colonisation dynamics in the core and edge of a species range, suggesting that recolonisation dynamics in established populations may be a poor predictor of colonisation dynamics at the range edge. Such a mismatch leads to predictions of long lags between the emergence and colonisation of new habitat, with detrimental consequences for a species realised distribution, conservation status and contribution to ecosystem function. Conservation translocations that also reinforce existing populations at the range edge might stimulate the rescue effect and mitigate lags in expansion.
FVM 1.0: A nonhydrostatic finite-volume dynamical core for the IFS
<p>Simulation output data used to produce the figures in the paper.</p> <p>Four different files are provided. These refer to the IFS-FVM and IFS-ST results for the dry and moist configurations of the baroclinic instability benchmark.</p> <p>The paper is available at: https://doi.org/10.5194/gmd-12-651-2019</p>
Data for: Evolution of static and dynamical density correlations of one-dimensional soft-core bosons from the Tonks-Girardeau limit to a clustering fluid.
<p>Data and scripts to reproduce the figures of the paper "Evolution of static and dynamical density correlations of one-dimensional soft-core bosons from the Tonks-Girardeau limit to a clustering fluid."</p>
A framework for 210Pb model selection and its application to 37 cores from Eastern Canada to identify the dynamics and drivers of lake sedimentation rates
<ul> <li>Radioisotopic and ancillary data (i.e., estimated temperature, precipitation and population in lake watersheds)</li> <li>R-code script used in the establishment of 210Pb framework along with example spreadsheet</li> </ul> <p>Original publication: Baud, A., Aulard, C., Ghanbari, H., Fradette, M., Antoniades, D., Del Giorgio, P., Huot, Y., Francus, P., Smol, J. & Gregory‐Eaves, I. (2022). A framework for 210Pb model selection and its application to 37 cores from Eastern Canada to identify the dynamics and drivers of lake sedimentation rates. Earth Surface Processes and Landforms. https:</p>
Effects of Pilates and Burpees Exercises in Core Strengthening and Dynamic Balance.
ClinicalTrials.gov study NCT06196970. IPD Sharing: NO. Countries: 1. Publications: 3.
Effect of Chronic Ankle Instability on Core Stabilization, Dynamic Balance and Agility
ClinicalTrials.gov study NCT05441319. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Comparison of Core Stabilization and Dynamic Stretching Exercises in Primary Dysmenorrhea
ClinicalTrials.gov study NCT05771753. IPD Sharing: NO. Countries: 1. Publications: 7.
Data from: Quantifying spatiotemporal occupancy dynamics and multi-year core-use areas at a species range boundary
Open the record for dataset details and reuse information.
Data from: Colonisation dynamics during range expansion is poorly predicted by dispersal in the core range
Open the record for dataset details and reuse information.
Single-cell transcriptomics of human iPSC differentiation dynamics reveal a core molecular network of Parkinson’s disease
GEO Series GSE183248. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Dynamics of H3K64 trimethylation on histone core regulates the schizont specific expression of exported proteins in Plasmodium falciparum
GEO Series GSE154651. Plasmodium falciparum 3D7. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Treatment Exercises With Core Stability and Dynamic Resistance Exercise for Postmenopausal Women With Osteoporosis
ClinicalTrials.gov study NCT06264401. IPD Sharing: NO. Countries: 1. Publications: 0.
Dynamic Q Angle and Core Endurance in Adolescent Athletes With Patellofemoral Pain Syndrome
ClinicalTrials.gov study NCT07328750. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Static and Dynamic Core Stability Exercises in Potpartum Back Pain
ClinicalTrials.gov study NCT05342181. IPD Sharing: NO. Countries: 1. Publications: 0.
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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.