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131 results for “mesoscale”
Mesoscale eddies drive phytoplankton mediated biogeochemistry in the South China Sea
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Data for manuscript "Observed Taylor Cap around a seamount induced by a surface mesoscale eddy in the Northwest Pacific "
<p>Observations from CPIESs in the Northwest Pacific</p>
Molecular and mesoscale description of nutrients uptake during digestion
<p>Molecular and mesoscale description of nutrients uptake during digestion</p>
Codes and datasets associated with the paper "Simulating an extreme over-the-horizon optical propagation event over Lake Michigan using a coupled mesoscale modeling and ray tracing framework"
<p>Here, you will find some of the codes, images, and datasets utilized in the article: </p> <p>Basu (2017). "Simulating an extreme over-the-horizon optical propagation event over Lake Michigan using a coupled mesoscale modeling and ray tracing framework", Optical Engineering, 56(7), 071505 (https://doi.org/10.1117/1.OE.56.7.071505)</p> <p>WRF codes: namelist.wps, namelist.input, myoutfields.txt</p> <p>NCL codes: d02_terrain.ncl, wrf_SurfaceASTD_d02.ncl</p> <p>RADAR loop: KGRR.gif</p> <p>MATLAB codes: Plot_Buoy.m</p> <p>Note: buoy datasets are available publicly from https://www.ndbc.noaa.gov/ </p>
Accompanying data for "Nitrogen fixation in mesoscale eddies of the North Pacific Subtropical Gyre: patterns and mechanisms"
<p>Data accompanying the manuscript "Nitrogen fixation in mesoscale eddies of the North Pacific Subtropical Gyre: patterns and mechanisms", submitted to Global Biogeochemical Cycles.</p> <p>Datasets refer to the 2017 MESO-SCOPE and 2018 Hawaiian Eddy Experiment cruises by the year of the expedition.</p> <p>Contents include:</p> <p>- Environmental measurements, such as temperature, concentrations of phosphates (PO<sub>4</sub><sup>3-</sup>) and dissolved iron (DFe), and scalar photosynthetically active radiation (PAR), from the transect and eddy center stations (see Eddies_environmental_datasets.xlsx).</p> <p>-N<sub>2</sub>-fixation rates (NFR) measured on in-situ arrays deployed in eddy centers (see Eddies_NFR_datasets.xslx)</p> <p>-<em>nifH</em> gene abundances measured in eddy centers and eddy transect (2017) (see Eddies_nifH_datasets.xlsx)</p> <p>-Diazotroph cell abundances measured by automated flow cytometry (FCM) in eddy centers (see Eddies_FCM_datasets.xlsx)</p> <p>-Diazotroph interpolated growth rate predictions derived from the ecophysiological model forced by in situ environmental data (see Eddies_interpolated_growthrates.xlsx)</p> <p>-Predator-prey model input/output including putative grazer abundances, grazing rate estimates, interaction and correlation matrices, and sensitivity analysis of the model (see Eddies_grazing_datasets.xlsx)</p> <p>-<em>Trichodesmium</em> optical/size properties measured by imaging flow cytometry in eddy centers and a surface bloom sampled in 2017 (see Eddies_Trichodesmium_properties.xlsx)</p>
First ISCCP Regional Experiment (FIRE) Cirrus Phase II Mesoscale Analysis and Prediction System
FIRE_CI2_MAPS is the First ISCCP (International Satellite Cloud Climatology Project) Regional Experiment (FIRE) Cirrus Phase II Mesoscale Analysis and Prediction System data product. This product was designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE were to: seek the basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles; and investigate the interrelationships between ISCCP data, GCM parameterizations, and higher space and time resolution cloud data. To-date, four intensive field-observation periods were planned and executed: a cirrus IFO (October 13 - November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29 - July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13 - December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1 - June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems.MAPS refers to both a data analysis system and a numerical forecast model developed by the National Oceanic and Atmospheric Administration (NOAA) Forecast Systems Laboratory (FSL). The analysis system combines profiler, ACARS, surface and radiosonde data with the previous 3 hour MAPS model forecast to generate an analysis every 3 hours. The parameters available are Pressure, Montgomery Streamfunction, Virtual Potential Temperature, Condensation Pressure, and Wind Speed.
LBA-ECO CD-03 Mesoscale Meteorological Data, Santarem Region, Para, Brazil: 1998-2006
We analyzed rainfall obtained in a network of 38 rain gauges located near the confluence of the Tapajos and Amazon rivers in the eastern Amazon Basin. We found that tipping bucket rain gauges work adequately in the Amazon rainfall regime, but careful field calibration and comparison with collocated conventional rain gauges was essential to incorporate daily totals from operational array into regional maps. Near-river stations miss the afternoon convective rain as expected as the river breeze promotes subsidence over the river, but paradoxically, this deficiency is more than compensated for by additional nocturnal rainfall at these locations. The 0.25-degree CMORPH passive infrared inferred rainfall data do an adequate job of describing medium scale variability in this region, but some localized breeze effects are not resolved. For inland areas away from the breezes, the nocturnal period precipitation contributes less than half of total precipitation. The large-scale rainfall increase just to the west of Santarem manifests itself locally as a 'tongue' of enhanced rain from along the wide area of open water at the Tapajos-Amazon confluence The breeze circulations associated with the Amazon River (which lies parallel to the mean flow) affects rainfall more than does the Tapajos breeze (normal to the predominant wind). The Tapajos breeze influence extends only a few kilometers inland east of the riverbank. Rainfall increases to the north of the Amazon, possibly the result of orographic effects. Dry season rainfall increases by up to 30% going away from the Amazon River, as would be expected given breeze subsidence over the river.
Saildrone field campaign surface and ADCP measurements for the Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign (ATOMIC) project
Saildrone is a wind and solar powered unmanned surface vehicle (USV) capable of long distance deployments lasting up to 12 months and providing high quality, near real-time, multivariate surface ocean and atmospheric observations while transiting at typical speeds of 3-5 knots. The drone is autonomous in that it may be guided remotely from land while being completely wind driven. The saildrone ATOMIC (Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign) campaign involved the deployment of a fleet of saildrones, jointly funded by NASA and NOAA, in the Atlantic waters offshore of Barbados over a 45 day period from 17 January to 2 March 2020. The goal was to understand the Ocean-Atmosphere interaction particularly over the mesoscale ocean eddies in that region. The saildrones were equipped with a suite of instruments that included a CTD, IR pyrometer, fluorometer, dissolved oxygen sensor, anemometer, barometer, and Acoustic Doppler Current Profiler (ADCP). Additionally, four temperature data loggers were positioned vertically along hull to provide further information on thermal variability near the ocean surface. This Saildrone ATOMIC dataset is comprised of two data files for each of the three NASA-funded saildrones deployed, one for the surface observations and one for the ADCP measuements. The surface data files contain saildrone platform telemetry and near-surface observational data (air temperature, sea surface skin and bulk temperatures, salinity, oxygen and chlorophyll-a concentrations, barometric pressure, wind speed and direction) spanning the entire cruise at 1 minute temporal resolution. The ADCP files for each saildrone are at 5 minute resolution for the duration of the deployments. All data files are in netCDF format and CF/ACDD compliant consistent with the NOAA/NCEI specification.
Eukaryotic cytoplasm is widely structured via mesoscale condensates
GEO Series GSE232651. Xenopus laevis. 9 samples. Type: Expression profiling by high throughput sequencing.
Data used for Investigating the role of Amazonian mesoscale wind patterns and strength on the spatial distribution of Martian bedrock exposures
<p>This upload contains four distinct zipped files with several different datasets contained within used for the analysis in publication "Investigating the role of Amazonian mesoscale wind patterns and strength on the spatial distribution of Martian bedrock exposures" by Gary-Bicas et al., 2022 Description for each dataset is below.</p> <p>- External data (Contains data used for thermophysical and morphological analysis).</p> <ul> <li>binary files NBmap2007.bin (Putzig and Mellon, 2007) and nmap2003.bin( Putzig et al., 2005) . These contain global Mars thermal inertia maps using the Thermal Emission Spectrometer (TES) onboard Mars Global Surveyor (MGS) </li> <li>Comma separated files with terminations "...USGS.csv" these are files extracting data for the studies' regions from the Mars global USGS geologic map #3292 (Tanaka et al., 2014) </li> <li>Shape file for bedrock designations (bedrock.[shp,shx,prj,dbf]) created by Cowart et al., 2019 where they mapped locations with bedrock exposures on Mars. We also include comma separated value files of the same maps for locations studied in this analysis (files with termination "...bedrock.csv")</li> <li>Shape file included has the locations of craters identified in all study regions for analysis (craters.point.[shp,shx,prj,dbf] and craters.polygon.[shp,shx,prj,dbf]) paired with the comma separated value intracrat.csv</li> <li>Shape file with study locations for analysis (windo_modeling_locations_revised3.[shp,shx,prj,dbf])</li> </ul> <p>- MRAMS data files.zip</p> <ul> <li>Contains 11 simulated climate states for each of the ten study location in analysis as well as Jezero crater using the Mars Regional Atmospheric Modeling System (MRAMS, Rafkin and Michaels, 2019). For each simulated case there are 4 seasonal time steps equating to 44 simulated cases for each study region in total (484 files) see associated python software publication indicating ingestion and processing of MRAMS datasets</li> </ul> <p>- MRAMS output files.zip</p> <ul> <li>After ingesting the datasets in MARS data files.zip into a python algorithm (see associated software publication) values for Wind Erosion Potential were extracted from the datasets and weighted sums were conducted to get annual values (see manuscript publication and associated python software publication,"MRAMS Data Output.ipynb") data was output into comma separated values for ease of use</li> </ul> <p>-MRAMS elevation and slope files.zip</p> <ul> <li>MRAMS data from output files.zip was further ingested into other algorithms to extract elevation and terrain slope values (see associated python software publication, "MRAMS Data Output.ipynb") that were output into comma separated values for ease of use</li> </ul> <p> </p> <p> </p>
The mesoscale order of nacreous pearls
<p>Dataset for pair-correlation, width map and profile of nacre</p>
MRAMS mesoscale model dataset, tools and animations for Jezero crater nighttime turbulence analysis
<p>This material constitutes the software tools to generate MRAMS data used in the analysis submitted for publication in JGR:Planets</p> <p>"Nocturnal turbulence at Jezero crater as determined from MEDA measurements and modeling"<br> by Pla-Garcia et al.</p> <p>The manuscript was submitted to JGR: Planets on 2 October, 2022</p>
Integrating Metabolism, Connectivity, and Mesoscale Imaging at Ultra-high Field to Decipher Mechanisms of Resilience and Neurodegeneration in Neurological Diseases and Healthy Aging
ClinicalTrials.gov study NCT07202494. IPD Sharing: NO. Countries: 1. Publications: 0.
Remote sensing of Electrification, Lightning, And Mesoscale/microscale Processes with Adaptive Ground Observations (RELAMPAGO) Lightning Mapping Array (LMA) V1
The Remote sensing of Electrification, Lightning, And Mesoscale/microscale Processes with Adaptive Ground Observations (RELAMPAGO) Lightning Mapping Array (LMA) was an 11-station, ground-based network located in north-central Argentina from November 2018 to April 2019 in support of the RELAMPAGO field campaign. The RELAMPAGO campaign aimed to characterize the atmospheric conditions and terrain effects that facilitate the initiation and growth of intense weather systems in this region of South America. The LMA maps Very High Frequency (VHF) emissions from lightning in three dimensions. These emissions have also been grouped, temporally and spatially, into individual flashes, and the flash characteristics analyzed to produce gridded products. The dataset was produced by NASA Marshall Space Flight Center (MSFC), via an agreement with the National Oceanic and Atmospheric Administration (NOAA), in order to serve as a validation dataset for the Geostationary Lightning Mapper (GLM). These LMA data are available from November 8, 2018 through April 20, 2019 in ASCII, HDF5, and netCDF-4 format.
ATP-dependent remodeling of chromatin condensates reveals distinct mesoscale outcomes
GEO Series GSE299834. Mus musculus. 36 samples. Type: Other.
Intrinsic mesoscale properties of a Polycomb protein underpin heterochromatin fidelity
GEO Series GSE195824. Cryptococcus neoformans. 30 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Impact of Convective Parameterizations on Atmospheric Mesoscale Kinetic Energy Spectra in Global High-resolution Simulations
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Data from the thesis: Reduced-order models to predict mesoscale mechanical behavior of polycrystalline materials
<p>This record contains the data and code from the thesis: Reduced-order models to predict mesoscale mechanical behavior of polycrystalline materials. The contents of the chapter-wise zip files are described in the respective markdown files with the suffix <strong><em>_readme.md</em></strong>.</p> <p> </p> <p>A record containing only the code from the thesis is availabe at: <a href="https://doi.org/10.5281/zenodo.10983507" target="_blank" rel="noopener">10.5281/zenodo.10983507</a>.</p>
Dataset for "Mesoscale Eddy-Induced Sharpening of Oceanic Tracer Front and its Parameterization"
<p>Data of the tracer experiments and the associated diagnostics in the shallow water model for the ocean front study.</p><ul><li><strong>eforc.tar.gz</strong>: diagnosed eddy forcing fields for different tracers;</li><li><strong>exps_trs.tar.gz</strong>: solutions in offline tracer experiments on the coarse grid;</li><li><strong>forc_uvh.tar.gz</strong>: mass fluxes and layer thicknesses used to advect tracers;</li><li><strong>params.tar.gz</strong>: parameters (eddy-induced velocities, diffusivity) used for tracer experiments</li></ul><p>Please contact Yueyang Lu via <strong>yueyang.lu@miami.edu</strong> if there are any questions.</p>
Mesoscale proximity labeling at chromatin to study small molecule mechanism of action [RNAseq_4h_782]
GEO Series GSE304413. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing.
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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.