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772 results for “fronts”

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zenodo36/100

SANT images selected for front pages of Galicia21 journal

<p>Plants curation, databasing and imaging: <a title="Herbario SANT. Universidade de Santiago de Compostela" href="https://www.usc.es/herbario" target="_blank" rel="noopener">SANT herbarium</a></p> <p>Front page designs: <a href="http://desescribir.com/" target="_blank" rel="noopener">desescribir</a></p> <p>Journal access:&nbsp;<a href="http://www.galicia21journal.org/" target="_blank" rel="noopener">http://www.galicia21journal.org/</a></p>

opencc-by-4.0Feb 2024View details →
zenodo36/100

Climate characteristics and trends of extreme daily precipitation events associated with cold fronts in the metropolitan region of São Paulo, Brazil

<p>Data used in the paper "Climate characteristics and trends of extreme daily precipitation events associated with cold fronts in the metropolitan region of S&atilde;o Paulo, Brazil" from Theoretical and Applied Climatology</p>

opencc-by-4.0Nov 2024View details →
zenodo36/100

Data repository for the paper: Sharp front tracking with geometric interface reconstruction

<h1>Data repository for the paper</h1> <h1><em>Sharp front tracking with geometric interface reconstruction</em></h1> <p>&nbsp;</p> <p>This repository consists of the results data for the paper "Sharp front tracking with geometric interface reconstruction" by Christian Gorges, Fabien Evrard, Robert Chiodi, Berend van Wachem and Fabian Denner. The simulation results stored in this repository have the following data format:</p> <ul> <li> <p>.txt files consisting the raw data used for the plots in the results chapter of the paper</p> </li> <li> <p>.pvtu and .vtu files containing the front mesh data for the rising bubble simulations (Paraview is an exemplary software to view the front mesh data)</p> </li> <li> <p>.py files containing python scripts serving as examples on how to use and plot the raw data of the .txt files</p> </li> </ul> <p>The main folders of this repository are named as the sections in the results chapter of the paper. For instance, the folder translating_droplet contains the data of the "Translating droplet" section. Within the main folders, sub folders contain the raw data for the specific simulations. The naming style of the raw data files and the subfolders for each section is explained in the following.</p> <p><em>stationary_droplet</em>: This main folder contains subfolders for all Laplace numbers simulated. "La_120" corresponds to a Laplace number of 120. The file names of the .txt files within the subfolders consist of the Laplace number, followed by the front tracking method and the d/dx ratio. If roughness smoothing is used it also consists of "WithRoughnessSmoothing". For example "La_120_ClassicFT_ddx_52.txt" consists of the data for a Laplace number of 120, the classic front tracking method and a d/dx ratio of 52. The content in the .txt files is the following: "%e,%e,%e,%e,%e,%e,%e\n" which corresponds to "Physical time, Physical time / \tau_{mu}, Kinetic energy, RMS velocity, Max velocity, Ca_{max}, U_sigma".</p> <p><em>translating_droplet</em>: This main folder contains subfolders for all Laplace numbers simulated. "La_120" corresponds to a Laplace number of 120. The file names of the .txt files within the subfolders consist of the Laplace number, followed by the front tracking method and the d/dx ratio. If roughness smoothing is used it also consists of "WithRoughnessSmoothing". For example "La_120_ClassicFT_ddx_52.txt" consists of the data for a Laplace number of 120, the classic front tracking method and a d/dx ratio of 52. The content in the .txt files is the following: "%e,%e,%e,%e,%e,%e,%e\n" which corresponds to "Physical time, Physical time / \tau_{mu}, Kinetic energy, RMS velocity, Max velocity, Ca_{max}, U_sigma".</p> <p><em>oscillating_droplet</em>: This main folder contains subfolders for all droplet viscosities simulated. "mu_d_05" corresponds to a droplet viscosity of 0.5. The file names of the .txt files within the subfolders consist of the droplet viscosity, followed by the front tracking method and the d/dx ratio. If roughness smoothing is used it also consists of "WithRoughnessSmoothing". For example "mu_d_05_ClassicFT_ddx_52.txt" consists of the data for a droplet viscosity of 0.5, the classic front tracking method and a d/dx ratio of 52. The content in the .txt files is the following: "%f,%f,%e\n" which corresponds to "Physical time, \tau, r".</p> <p><em>rising_bubbles</em>: This main folder contains subfolders for all rising bubble cases simulated. "Case_1_Classic" corresponds to a case 1 simulated with the classic front tracking method. The .txt files within the subfolders consist of the physical time, followed by the non-dimensional time and the Reynolds number. The .zip files contain the .pvtu and .vtu files for the front meshes.</p> <p>The python scripts have been tested with Python 3.11.5.</p> <p>This project has received funding from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), grant number 420239128, and from the European Unions's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 101026017. This work was supported by the US Department of Energy through the Los Alamos National Laboratory. Los Alamos National Laboratory is operated by Triad National Security, LLC, for the National Nuclear Security Administration of U.S. Department of Energy (Contract No. 89233218CNA000001).</p>

opencc-by-4.0Dec 2023View details →
dryad36/100

Fine-scale spatial segregation in a pelagic seabird driven by differential use of tidewater glacier fronts

<div class="WordSection1"> <p><span><span>In colonially breeding marine predators, individual movements and colonial segregation are influenced by seascape characteristics. Tidewater glacier fronts are important features of the Arctic seascape and are often described as foraging hotspots. Albeit their documented importance for wildlife, little is known about their structuring effect on arctic predator movements and space use. In this study, we tested the hypothesis that tidewater glacier fronts can influence marine bird foraging patterns and drive spatial segregation among adjacent colonies. We analysed movements of black-legged kittiwakes (<i>Rissa tridactyla</i>) in a glacial fjord by tracking breeding individuals from five colonies. Although breeding kittiwakes were observed to travel up to <i>ca</i>. 280 km from the colony, individuals were more likely to use glacier fronts located closer to their colony and rarely used glacier fronts located farther away than 18 km. Such variation in the use of glacier fronts created fine-scale spatial segregation among the four closest (<i>ca</i>. 7 km distance on average) kittiwake colonies. Overall, our results support the hypothesis that spatially predictable foraging patches like glacier fronts can have strong structuring effects on predator movements and can modulate the magnitude of intercolonial spatial segregation in central-place foragers.</span></span></p> </div> <p> </p>

opencc-zeroNov 2021View details →
zenodo36/100

Active structural geometries and their correlation with moderate (M 5.5-7.0) earthquakes in the Jiashi-Keping region, Tian Shan southwestern front

<p>This data set contains Figures S1-S5, which serve as supporting information for the paper titled &quot;Active structural geometries and their correlation with moderate (M 5.5-7.0)&nbsp;earthquakes in the Jiashi-Keping region, Tian Shan southwestern front&quot;. Figure S1 shows locations of all seismic-reflection profiles used in this study. Figures S2-S5 provide uninterpreted and interpreted seismic-reflection profiles across the Bachu transpressional fault system, the western Keping Thrust and the blind Bashituopu Thrust.</p>

opencc-by-4.0Nov 2021View details →
zenodo36/100

Tutorial "LFA front side measurement"

<p>E-learning module about front side measurements using the laser flash method&nbsp;which is part of a tutorial series&nbsp;prepared in the framework of the Hi-TRACE project.&nbsp;</p>

opencc-by-4.0Dec 2021View details →
zenodo36/100

Observations and Modeling of a Buoyant Plume Exiting into a Tidal Cross-flow and Exhibiting Along-front Instabilities

<p>This post-processed dataset contains the&nbsp;sUAS imagery and numerical modeling output used in the paper &quot;Observations and Modeling of a Buoyant Plume Exiting into a Tidal Cross-flow and Exhibiting Along-front Instabilities&quot;. The provided code details the frontal processing routine used for both&nbsp;the observations and modeling results.&nbsp;&nbsp;</p>

opencc-by-4.0Jan 2022View details →
zenodo36/100

Data and plotting code for "Energetic electron scattering by kinetic Alfvén waves at strong magnetic field gradients of dipolarization front"

<p>This publication includes the dataset and plotting code for reproducing results and figures of&nbsp;the manuscript &quot;Energetic electron scattering by kinetic Alfv&eacute;n waves at strong magnetic field gradients of dipolarization front&quot;, which was submitted to Physics of Plasma for potential publication. In this&nbsp;paper, we use test particle simulations to study energetic electron pitch angle and momentum scattering driven by kinetic Alfv&eacute;n waves, at&nbsp;the magnetic field gradients associated with the&nbsp;dipolarization front,&nbsp;current sheet&nbsp;and plasma sheet fields in the magnetotail.&nbsp;</p> <p>The simulation data contains&nbsp;time history of&nbsp;1000 test particle trajectories, momentum, energy, and KAW wave phases recorded every 0.001 second. Each&nbsp;simulation for different electron energies and&nbsp;pitch angles has&nbsp;a size of over 1 GB, so here we have only included one example of test particle simulation run associated with Figure 3. Only the final results of pitch angle diffusion coefficients are provided associated with Figure 4. A full set of time history results of all test particle simulation runs for Figure 4 will be available upon reasonable request (yshen@epss.ucla.edu).&nbsp;</p> <p>Detailed descriptions:</p> <p>&nbsp;PoP_figure_1.m --- Matlab plotting code for reproducing magnetic field model and geometry for Figure 1.</p> <p>&nbsp;PoP_figure_2.m --- Matlab plotting code for reproducing resonant energy as a function of wave normal angle, electron pitch angle, and field model parameters in Figure 2.</p> <p>&nbsp;PoP_figure_3.m --- Reading test particle simulation data and&nbsp;plotting code for reproducing Figure 3. Please ensure proper directory setting to read test particle data files.&nbsp;</p> <p>&nbsp;PoP_figure_4_5.m --- Reading saved bounce-averaged diffusion coefficient data and plotting Figure 4 and Figure 5.</p> <p>&nbsp;Daa_Energy_alpha_ad3xp15_e1.csv --- Electron diffusion coefficients driven by KAW scattering as a function of energy and pitch angle obtained from test particle simulations. KAW wave amplitude is set to 1 mV/m. Electrons are initiated from a position of x=150 km within the dipolarization front.</p> <p>&nbsp;Tau_Energy_alpha_xp15.csv --- Electron bounce periods as a function of energy and pitch angle based on numerical test particle simulations without KAW input.</p> <p>&nbsp;pKAW_1000p_dify_E100keV_PA5_Daa_E4_pop.zip --- Data files containing 1000 test particle trajectories, momentum and adiabatic invariant. This one single run is for electrons with an energy of 100 keV and a pitch angle of 5 degree, under influence of&nbsp;KAW wave electric field of 4 mV/m. This dataset is used to plot Figure 3.&nbsp;</p> <p>&nbsp;pKAW_1000p_dify_init_Ppara_mue_E100_PA4_Daa_E4_pop.dat --- initial parallel momentum and first adiabatic invariant of 1000 test particles. Read this file for plotting Figure 3.&nbsp;</p> <p>&nbsp;Bxyz.m --- calculate model magnetic field for given positions in x, y, and z</p> <p>&nbsp;FAC.m --- convert local x, y, z coordinates to field-aligned coordinates</p> <p>&nbsp;gradB.m --- calculate the gradient of magnetic field for given positions in x, y, and z</p> <p>&nbsp;E_to_pnorm_hsr.m --- calculate normalized momentum based on relativistic electron energy</p> <p>&nbsp;mysubplot.m --- plotting function to replace subplot routine of Matlab</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jun 2022View details →
zenodo36/100

Coseismic folding during ramp failure at the front of the Sulaiman fold-and-thrust belt

<p>It contains the datasets related to &quot;Coseismic folding during ramp failure at the front of the Sulaiman fold-and-thrust belt&quot;.</p>

opencc-by-4.0Oct 2021View details →
zenodo36/100

Submesoscale motions driven by down-front wind around an anticyclonic eddy observed by gliders

<p>This datasets was&nbsp;used in the study named &#39;Submesoscale motions driven by down-front wind around an anticyclonic eddy observed by gliders&#39;.&nbsp; It contains glider data.&nbsp;&nbsp;Please let me know if you need any more information.</p>

opencc-by-4.0Aug 2022View details →
zenodo36/100

Stable Isotope Hydrology Data from Gnamma Systems in the Colorado Front Range

<p>This dataset accompanies a submission to Geophysical Research Letters titled &quot;Stable Isotopes Constrain Water Seepage from Gnammas into Bare Granitic Bedrock&quot;.</p>

opencc-by-4.0Aug 2022View details →
dryad36/100

Multiple Doris kerguelenensis (Nudibranchia) species span the Antarctic polar front

<p>Despite strong historical biogeographical links between benthic faunal assemblages of the Magellan region of South America and the Antarctic Peninsula, very few studies have documented contemporary movement and gene flow in or out of the Southern Ocean, especially across the Antarctic Polar Front (APF). In fact, oceanographic barriers such as the APF and Antarctica's long geologic isolation have substantially separated the continents and facilitated the evolution of endemic marine taxa found within the Antarctic region. The Southern Ocean benthic sea slug complex, Doris 'kerguelenensis', are a group of direct-developing, simultaneous hermaphrodites that lack a dispersive larval stage. To date, there are 59 highly divergent species known within this complex. Here we provide evidence to show intraspecific genetic connectivity occurs across the Antarctic Polar Front for multiple species within the Doris 'kerguelenensis' nudibranch species complex. We addressed questions of genetic connectivity by examining the phylogeographic structure of the three best-sampled Doris 'kerguelenensis' species and another three trans-Antarctic Polar Front species using the protein coding mtDNA gene, Cytochrome Oxidase I. We also highlight alternative refugia uses among species with the same life history traits (i.e., benthic, direct developers) and for some species, extremely large distributions are established (e.g., circumpolarity). By improving our sampling of these nudibranchs, we gain better insight into the population structure and connectivity of the Antarctic region. This work also demonstrates how difficult it is to make generalisations across Antarctic marine species, even among ecologically-similar, closely-related species.</p>

opencc-zeroSep 2022View details →
zenodo36/100

Cinerary Urn Front Panel

"Front panel from an alabaster cinerary urn with a carved scene. Probably from Valterra." Now in the British Museum. Date: Etruscan, 100-500BC https://research.britishmuseum.org/research/collection_online/collection_object_details.aspx?objectId=463161&amp;partId=1 50 photos taken in May 2019 and processed in Reality Capture. Source: Objaverse 1.0 / Sketchfab

opencc-byMar 2020View details →
zenodo36/100

Front Parlor Chair

For more information about this item visit: https://bhpsite.org/ This object was 3D scanned using a Creaform Go Scan 50. Source: Objaverse 1.0 / Sketchfab

opencc-byOct 2018View details →
zenodo36/100

WW1 land front shelter, Helsinki, Finland

Remains of First World War wooden shelter room in [Krepost Sveaborg](https://en.wikipedia.org/wiki/Krepost_Sveaborg) land front defense line from base XXI:6 Oulunkylä, Helsinki, Finland. Wooden Shelter room built in 1915 - 1918 is completely decomposed but the place and part of the trench is clearly visible. More info: * [Location in Google Maps](https://goo.gl/maps/FvddG7TCM5Ut97qw9) * [Wikipedia: Krepost Sveaborg](https://en.wikipedia.org/wiki/Krepost_Sveaborg) * [John Lagerstedt , Markku Saari: Krepost Sveaborg](http://www.novision.fi/viapori/eavaus.htm) * [Finnish Heritage Agency site info](https://www.kyppi.fi/to.aspx?id=112.1000013764) (only in finnish) Source: Objaverse 1.0 / Sketchfab

opencc-byMay 2019View details →
zenodo36/100

Front Data for Scalable GPU-Enabled Creation of Three Dimensional Weather Fronts

<p>Frontal Polylines for 2016 created with the network described in:</p> <p>https://doi.org/10.5194/wcd-3-113-2022</p> <p>&nbsp;</p> <p>The work is supported by the project ``Big Data in Atmospheric Physics<br>(BINARY)'', funded by the Carl Zeiss Foundation (grant P2018-02-003).</p>

opencc-by-4.0May 2024View details →
zenodo36/100

Fig. 8B in Influence of Dardanelles outflow induced thermal fronts and winds on drifter trajectories in the Aegean Sea

Fig. 8B: Same as Figure 8A but for the period 5-7 September 2008.

opencc-by-4.0Jan 2014View details →
zenodo36/100

Fig. 14 - MSNM i28018 front. Crab trackway crossing a in Anomuran and brachyuran trackways and resting trace from the Pliocene of Valduggia (Piedmont, NW Italy): environmental, behavioural, and taphonomic implications

Fig. 14 - MSNM i28018 front. Crab trackway crossing a series of smooth ripplemarks (× 0.4).

opencc-by-4.0Jun 2016View details →
zenodo36/100

IN02040 Inscription in front of the Changu Narayana Temple (translation)

<p>IN02040 Inscription in front of the Changu Narayana Temple (translation)</p>

opencc-by-4.0Feb 2018View details →
zenodo36/100

Time-lapse observations of snow bedforms in the Colorado Front Range, 2016-2017

<p><strong>Description:</strong> Time-lapse imagery of snow surfaces on Niwot Ridge, in the Colorado Front Range, between March 2016 and April 2017.</p> <p><strong>Purpose:</strong> Videos show the evolution of snow bedforms, including the formation and movement of snow dunes, snow ripples, and sastrugi. Used to analyze the modes of bedform movement, and to constrain the weather conditions in which they form.</p> <p><strong>Equipment, details + weather data: </strong>Time-lapse cameras are Day6 Plotwatcher Pros. They take images every 10s during daylight hours. The cameras are located at -40.054307, -105.590764, 150m upwind of the Niwot Ridge LTER Saddle Station. Bedform movement can thus be correlated with climate and precipitation data from the station, provided at niwot.colorado.edu</p> <p><strong>Filenames:</strong> Files are named yymmddAA.avi, where yy/mm/dd is the date of the recording. When multiple recordings were made in one day, there will be a yymmddAB.avi, yymmddAC.avi, etc. Some filenames are annotated with a description, eg 170226AA-sastrugi.avi. On a few dates (November 2016) the cameras recorded incorrect dates; on these days, the dates in the filenames are to be preferred.</p> <p>Date and time in video: the date, time and temperature are recorded in the bottom of the videos. The date and time are generally accurate, but if they differ from the date in the filename, that date is to be preferred and the time disregarded. Temperature in the film is generally colder than temperature recorded by the nearby weather station, and we generally disregarded it in favor of climate data from niwot.colorado.edu.</p> <p><strong>Data format:</strong> Data are presented as .avi files, which may be run by most video players. Data were originally recorded with proprietary .tlv file extension. The .tlv format is equivalent to .avi; if any .tlv files are found, simply rename them as .avi files and play as usual.</p> <p><strong>Acknowledgements:</strong> This research was supported by a Department of Energy Computational Science Graduate Fellowship (DE-FG02-97ER25308), by a University of Colorado Chancellor&#39;s Fellowship, and by the National Science Foundation via support for the Boulder Creek Critical Zone Observatory (EAR-1331828).<br> Field equipment was funded by the American Alpine Club; the Colorado Scientific Society; and a Patterson Award from the University of Colorado Department of Geological Sciences. Field assistants were funded by the University of Colorado Undergraduate Research Opportunities Program. Logistical support and climate data were provided by the NSF-supported Niwot Ridge Long-Term Ecological Research Project and the University of Colorado Mountain Research station.</p>

opencc-by-4.0May 2018View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record