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43 results for “surface currents”
Nicosia, Bedestan. Plan of the complex prepared in 1980-81 combined with resistivity tomography at a depth of 1.0m below the current surface with hypothetical reconstruction of the middle Byzantine church
<p>Nicosia, Bedestan. Plan of the complex prepared in 1980-81 combined with resistivity tomography at a depth of 1.0m below the current surface with hypothetical reconstruction of the middle Byzantine church. Drawing by M. Wills, M. Cozzolino and Vicki Herring.</p>
Daily surface temperature and current from a 10 members ensemble simulation of June-September 2018 over the South China Sea
<p>This file contains the outputs from an ensemble of 10 members of simulation performed over the South China Sea for summer 2018.</p> <p>Members are numbered from 09 to 18.</p> <p>member_11_daily_surface_tem_u_v_JJAS.nc contains the surface daily temperature and current simulated by member 11</p> <p>grid.nc contains all information about the Arakawa C grid (longitude, latitude, mask, mesh size etc).</p> <p>wstress_surf_2018_JJAS_daily.nc contains the daily wind stress for summer 2018</p>
Raw Data: Signatures of a surface spin-orbital chiral current metal
<p>Authors:</p><p>Federico Mazzola, Wojciech Brzezicki, Maria Teresa Mercaldo, Anita Guarino, Chiara Bigi, Jill A. Miwa, Domenico De Fazio, Alberto Crepaldi, Jun Fujii, Giorgio Rossi, Pasquale Orgiani, Sandeep Kumar Chaluvadi, Shyni Punathum Chalil, Giancarlo Panaccione, Anupam Jana, Vincent Polewczyk, Ivana Vobornik, Changyoung Kim, Fabio Miletto Granozio, Rosalba Fittipaldi, Carmine Ortix, Mario Cuoco, and Antonio Vecchione</p>
Machine learning algorithm reveals surface deoxygenation in the Agulhas Current due to warming
<p>This file contains ML – random forest constructed oxygen in the Agulhas Current.</p>
Sub-Mesoscale Ocean Dynamics Experiment: Surface currents and Sea Surface Temperature
<p>Airborne observations of surface currents from Doppler Scatterometer and sea surface temperature from infrared camera.</p> <p><span>This data set is derived from the S-MODE project <span> </span><span><a title="https://urldefense.us/v3/__https:/github.com/podaac/2022-SMODE-Open-Data-Workshop__;!!PvBDto6Hs4WbVuu7!KGw6WDLV5oVZZv5MSJfZzLeZUUOOanKvBtRTARLrqCGRTLJl1FNP0nby2uQNCVA7GcoulOIL0eeT0ifzTu9iHii22cisZMe8$" href="https://urldefense.us/v3/__https:/github.com/podaac/2022-SMODE-Open-Data-Workshop__;!!PvBDto6Hs4WbVuu7!KGw6WDLV5oVZZv5MSJfZzLeZUUOOanKvBtRTARLrqCGRTLJl1FNP0nby2uQNCVA7GcoulOIL0eeT0ifzTu9iHii22cisZMe8$">https://github.com/podaac/2022-SMODE-Open-Data-Workshop</a></span>.<br></span></p> <p> </p> <p>Description of the data:</p> <p>DopplerScatt surface current spatial resolution of 200 m</p> <p>MOSES SST nominal spatial resolution of 10 m, but interpolated to DopplerScatt grid at 200 m resolution.</p> <p>Description of the name: SMODE_DScatt_and_MOSES_20221023_120546_ver_L2E_Smoothing_1km_Submesoscale_Frontogenesis.nc</p> <p>Date = 20221023_120546 (YYYY/mm/dd HH:MM:SS)</p> <p>Level of smoothing = 1 kilometer</p> <p>Submesoscale_Frontogenesis = The variables included in the file are necessary to compute frontogenesis</p> <p> </p> <p>Variables:</p> <p>SST_moses = sea surface temperature</p> <p>U_hp = high-pass east-west velocity component</p> <p>V_hp = high-pass north-south velocity component</p> <p>Tx = SST gradients in east-west direction</p> <p>Ty = SST gradients in north-south direction</p> <p>U_hp_(rot,div) = high-pass east-west velocity component rotational and divergent component</p> <p>V_hp_(rot,div) = high-pass north-south velocity component rotational and divergent component</p> <p>Fs_rot = Frontogenetic tendency due to the rotational component of the velocity field</p> <p>Fs_div = Frontogenetic tendency due to the divergent component of the velocity field</p> <p>Fs_tot = Frontogenetic tendency</p> <p>Strain_rot = Strain deformation due to the rotational component of the velocity field smoothed at 1 km</p> <p>Strain_div = Strain deformation due to the divergent component of the velocity field smoothed at 1 km</p> <p>rv_lp = relative vorticity smoothed at 1 km</p> <p>dv_lp = divergence smoothed at 1 km</p> <p>Strain_lp = strain deformation smoothed at 1 km</p> <p>Strain_normal = normal strain deformation smoothed at 1 km</p> <p>Strain_shear = shear component of the strain deformation smoothed at 1 km</p> <p> </p> <p> </p>
Realistic and idealized model output of surface currents and tracers used in frontal maintenance analysis.
<h1>Realistic model</h1> <p><em>./surface_child.zarr</em> directory is a zarr dataset containing a realistic model model based on the Regional Ocean Modeling System \citep[ROMS][]{haidvogel.ea:08} configured with a high-resolution ($\sim$300~m), two-way nested child domain within a coarser ($\sim$1.5~km in the region of nesting) model of the Texas-Louisiana continental shelf, described by \citet{schlichting.ea:23}. The coarser parent model includes the entire coastlines of Louisiana and Texas, and has been run over multiple years of simulated time to examine, for example, interannual variability in harmful algal blooms \citep{thyng.ea:13} along the Texas coast, and the extent of the Mississippi-Atchafalaya plume \citep{zhang.ea:12}. Both models have 30 vertical layers, with resolution focused near the surface. The mean water depth in the nested region is about 50~m. </p> <h1>Idealized model</h1> <p><em>./reduced_channel_files</em> contain six resolution cases spanning 200 m to 10 km horizontal resolution. The idealized ROMS model domain for all of them is 100~km by 300~km, with no-slip walls along the short (north/south) boundaries, and re-entrant along the long (east/west) boundaries. Horizontal resolution is varied from 200~m to 10~km. The initial condition is designed to roughly mirror conditions in the Mississippi-Atchafalaya river plume in the northern Gulf of Mexico, which is a location of strong buoyancy forcing, energetic eddy activity, and intense frontal processes \citep[see][]{hetland:17}. The channel has a constant depth of 50~m, with a constant rotation throughout the domain, $f=10^{-4}$~s$^{-1}$. Initial tracer distributions of temperature, $T$, and salinity, $S$, are defined by constant values specifying the vertical and horizontal density gradients, $N^2 = -g \rho_z \rho_0^{-1} = 10^{-4}~\mathrm{s}^{-2}$ and $M^2 = g \rho_y \rho_0^{-1} = 10^{-6}~\mathrm{s}^{-2}$:<br>\begin{align}<br> T &= T_0 + \frac{N^2}{g \rho_0 \alpha} z\\<br> S &= S_0 + \frac{M^2}{g \rho_0 \beta} y \quad ,<br>\end{align}<br>where $\alpha$=0.17~$^\circ$C$^{-1}$ and $\beta$=0.76~g$^{-1}$~kg are the linear thermal and haline expansion coefficients in a linearized equation of state, <br>\begin{equation}<br> \rho = \rho_0 (1 - \alpha T + \beta S) \quad ,<br>\end{equation}<br>where $\rho_0$ is a reference density.<br>A small perturbation to the initial $u$ velocity (in the periodic direction) with a period of 100~km in both the $x$- and $y$-directions and an amplitude of 0.01~m~s$^{-1}$ is applied to supply perturbations on which instabilities can form and grow. The simulations include a weak near inertial (0.9$f$) wind stress in the $x$-direction,<br>\begin{equation}<br> \label{eqn:roms_wind}<br> \tau^x = \tau^x_0 \mathrm{sin}(0.9 f\,t) \quad ,<br>\end{equation}<br>to mimic the diurnal winds observed in the northern Gulf of Mexico.</p>
Roles of Wind-Driven Currents and Surface Waves in Sediment Resuspension and Transport During a Tropical Storm
<p>Roles of Wind-Driven Currents and Surface Waves in Sediment Resuspension and Transport During a Tropical Storm</p>
Supplementary figures for Stationary surface waves and antidunes in dense pyroclastic density currents
<p>Supplementary files for EarthArXiv submission</p>
Comparison of the Effects of Electric Current With Needles and Surface Electrodes on the Abdominal Contour of Women
ClinicalTrials.gov study NCT05973526. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Size fractionation for total Chl a within the surface layer and calculated size distribution of total Chl a from discrete bottle samples from CCE-CalCOFI Augmented Cruises in the California Current System, 2004 - 2017 (ongoing).
Water for size fractionation of chlorophyll a is sampled from ~10m depth (surface layer) on Line 83 and 87, with scattered inshore stations within the CalCOFI and SCCOOS stations located in the CCE study area. The size distribution of total chlorophyll a is determined by filtering water though filters of differing pore sizes. These are then extracted in acetone and analyzed fluorometrically with Turner Designs 10-AU Fluorometer on CalCOFI cruises (since 2006, ongoing). Chlorophyll a and taxon-specific pigments (chlorophylls and carotenoids) are qualitatively and quantitatively characterized in the lab onshore by several size fractions (< 1µm to > 20µm) utilizing High Performance Liquid Chromatography (HPLC) analysis. The samples analyzed within the CCE region are used to develop a metric for phytoplankton community structure that can be used to monitor its state and changes thereof over time.
Photosynthetically active radiation (PAR) at depths from 0 to 100 meters, expressed as percentage of surface PAR, measured aboard CCE LTER process cruises in the California current, 2006, 2007 and 2008.
Photosynthetically active radiation designates the spectral range (wave band) of solar radiation from 400 to 700 nanometers that photosynthetic organisms are able to use in the process of photosynthesis. Daily values at depths from 0 to 100 meters, expressed as percentage of surface PAR were produced for days during three CCE LTER process cruises in the California Current region in 2006, 2007 and 2008.
Ocean Surface Current Analyses Real-time (OSCAR) Surface Currents - Final 0.25 Degree (Version 2.0)
Ocean Surface Current Analyses Real-time (OSCAR) is a global surface current database and NASA funded research project. OSCAR ocean mixed layer velocities are calculated from satellite-sensed sea surface height gradients, ocean vector winds, and sea surface temperature gradients using a simplified physical model for geostrophy, Ekman, and thermal wind dynamics. Daily averaged surface currents are provided on a global 0.25 x 0.25 degree grid as an average over an assumed well-mixed top 30 m of the ocean from 1993 to present day. OSCAR currents are provided at three quality levels: final, interim and nrt with a respective latency of each of approximately 1 year, 1 month, and 2 days. OSCAR is generated by Earth & Space Research (ESR) https://www.esr.org/research/oscar/. More details on the source datasets, file structure, and methodology can be found in oscarv2guide.pdf.
GHRSST L3C global sub-skin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on Metop satellites (currently Metop-A) (GDS V2) produced by OSI SAF
A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 3 Collated (L3C) dataset derived from the Advanced Very High Resolution Radiometer (AVHRR) on the European Meteorological Operational-A (MetOp-A) platform (launched 19 Oct 2006). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from Metop/AVHRR. Global AVHRR level 1b data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrieved from the AVHRR infrared channels (3.7, 10.8 and 12.0 micrometer) using a multispectral algorithm. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiatiave transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. This global L3C product isderived from full resolution AVHRR l1b data that are re-mapped onto a 0.05 degree grid twice daily. The product format is compliant with the GHRSST Data Specification (GDS) version 2.
GHRSST L3C global sub-skin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on Metop satellites (currently Metop-B) (GDS V2) produced by OSI SAF
A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 3 Collated (L3C) dataset derived from the Advanced Very High Resolution Radiometer (AVHRR) on the European Meteorological Operational-B (MetOp-B) platform (launched 17 Sep 2012). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from Metop/AVHRR. Global AVHRR level 1b data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrieved from the AVHRR infrared channels (3.7, 10.8 and 12.0 micrometer) using a multispectral algorithm. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiatiave transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. This global L3C product isderived from full resolution AVHRR l1b data that are re-mapped onto a 0.05 degree grid twice daily. The product format is compliant with the GHRSST Data Specification (GDS) version 2.
GHRSST Level 2P sub-skin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on Metop satellites (currently Metop-B) (GDS V2) produced by OSI SAF
A global 1 km Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Advanced Very High Resolution Radiometer (AVHRR) on the European Meteorological Operational-B (MetOp-B) satellite (launched 17 Sep 2012). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT),Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near realtime from Metop/AVHRR. Global AVHRR level 1b data are acquired at Meteo-France/Centre deMeteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrievedfrom the AVHRR infrared channels (3.7, 10.8 and 12.0 micrometer) using a multispectral algorithm.Atmospheric profiles of water vapor and temperature from a numerical weather prediction model,together with a radiatiave transfer model, are used to correct the multispectral algorithm forregional and seasonal biases due to changing atmospheric conditions. This product is delivered atfull resolution in satellite projection as metagranule corresponding to 3 minutes of acquisition. Theproduct format is compliant with the GHRSST Data Specification (GDS) version 2.
Daily NeurOST L4 Sea Surface Height and Surface Geostrophic Currents
This Daily NeurOST Level 4 Sea Surface Height and Surface Geostrophic Currents analysis product from the University of Washington and JPL was mapped by a neural network trained with sparse Level 3 nadir altimetry observations (CMEMS, E.U. Copernicus Marine Service Information) and the MUR Level 4 gridded sea surface temperature product (PO.DAAC).
GHRSST Level 2P sub-skin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on Metop satellites (currently Metop-A) (GDS V2) produced by OSI SAF
A global 1 km Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Advanced Very High Resolution Radiometer (AVHRR) on the European Meteorological Operational-A (MetOp-A)satellite (launched 19 Oct 2006). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT),Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near realtime from Metop/AVHRR. Global AVHRR level 1b data are acquired at Meteo-France/Centre deMeteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrievedfrom the AVHRR infrared channels (3.7, 10.8 and 12.0 micrometer) using a multispectral algorithm.Atmospheric profiles of water vapor and temperature from a numerical weather prediction model,together with a radiatiave transfer model, are used to correct the multispectral algorithm forregional and seasonal biases due to changing atmospheric conditions. This product is delivered atfull resolution in satellite projection as metagranule corresponding to 3 minutes of acquisition. Theproduct format is compliant with the GHRSST Data Specification (GDS) version 2.
Ocean Surface Current Analyses Real-time (OSCAR) Surface Currents - Near Real Time 0.25 Degree (Version 2.0)
Ocean Surface Current Analyses Real-time (OSCAR) is a global surface current database and NASA funded research project. OSCAR ocean mixed layer velocities are calculated from satellite-sensed sea surface height gradients, ocean vector winds, and sea surface temperature gradients using a simplified physical model for geostrophy, Ekman, and thermal wind dynamics. Daily averaged surface currents are provided on a global 0.25 x 0.25 degree grid as an average over an assumed well-mixed top 30 m of the ocean from 1993 to present day. OSCAR currents are provided at three quality levels: final, interim and nrt with a respective latency of each of approximately 1 year, 1 month, and 2 days. OSCAR is generated by Earth & Space Research (ESR) https://www.esr.org/research/oscar/. More details on the source datasets, file structure, and methodology can be found in oscarv2guide.pdf.
Ocean Surface Current Analyses Real-time (OSCAR) Surface Currents - Interim 0.25 Degree (Version 2.0)
Ocean Surface Current Analyses Real-time (OSCAR) is a global surface current database and NASA funded research project. OSCAR ocean mixed layer velocities are calculated from satellite-sensed sea surface height gradients, ocean vector winds, and sea surface temperature gradients using a simplified physical model for geostrophy, Ekman, and thermal wind dynamics. Daily averaged surface currents are provided on a global 0.25 x 0.25 degree grid as an average over an assumed well-mixed top 30 m of the ocean from 1993 to present day. OSCAR currents are provided at three quality levels: final, interim and nrt with a respective latency of each of approximately 1 year, 1 month, and 2 days. OSCAR is generated by Earth & Space Research (ESR) https://www.esr.org/research/oscar/. More details on the source datasets, file structure, and methodology can be found in oscarv2guide.pdf.
Electrochemical selection and characterization of a high current-generating Shewanella oneidensis mutant with altered cell-surface morphology and biofilm-related gene expression
GEO Series GSE50443. Shewanella oneidensis MR-1; Shewanella oneidensis. 6 samples. Type: Expression profiling by array.
ScienceDex guides
Understand access before you commit
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.