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4,633 results for “currents”
SBC LTER: Ocean: Ocean Currents and Biogeochemistry: Moored CTD and ADCP data from Arroyo Quemado, Site AQM
ADCP (Currents), CTD (Hydrography) and Optics (Fluorescence, Beam Attenuation, and Volume Scattering Function) data were collected year-round on the reef at Arroyo Quemado in the Santa Barbara Channel. The data contained here is for sampling site AQM, occupied for ~3 years, until kelp cover increased and obstucted flow to the reef. The mooring was moved about 200m to the SE in November 2004 to a new site named ARQ (data in package id knb-lter-sbc.2005). Data have been interpolated to a 20 min interval. ADCP data are orgainized into 1-meter bins, measured as height from the bottom, to a maximum of 16 bins. All bins may not be filled,and in some cases, data from bins technically above the surface are included. VSF data are available at angles, 100, 125 and 150 degrees. CTD parameters include Pressure, Temperature, Conductivity, Salinity, Density and Fluorescence. The CTD array is located approximately 4.5 meters from the surface, and there are additional temperature thermistors near the CTD array, at the bottom, and mid way between these two.
SBC LTER: Ocean: Currents and Biogeochemistry: Moored CTD and ADCP data from Naples Reef Mooring (NAP), ongoing since 2001
ADCP (Currents), CTD (Hydrography) and Optics data (Fluorescence, Beam Attenuation and Volume Scattering Function) were collected at Naples Reef in the Santa Barbara Channel (site ID: NAP). Data have been interpolated to a 20 minute interval. ADCP data are binned at a 1.0 meter interval, measured as height from the bottom to a maximum of 16 bins. All bins may not be filled, and in some cases, data from bins technically above the surface are included. VSF data are available at angles, 100, 125 and 150 degrees. CTD parameters include Pressure, Temperature, Conductivity, Salinity, Density and Fluorescence. The CTD array is located approximately 4.5 meters from the surface, and there are additional temperature thermistors near the CTD array, at the bottom, and mid way between these two.
SBC LTER: Ocean: Currents and Biogeochemistry: Moored CTD and ADCP data from Arroyo Burro Reef Mooring (ARB)
ADCP (Currents), CTD (Hydrography) and Optics data (Fluorescence, Beam Attenuation, and Volume Scattering Function) were collected at Arroyo Burro Reef Mooring in the Santa Barbara Channel. The data contained here are for sampling site ARB. Data have been interpolated to a 20 min interval. ADCP data are orgainized into 1.0 meter bins (measured as height from the bottom) to a maximum of 16 bins. All bins may not be filled, and in some cases, data from bins technically above the surface are included. VSF data are available at angles, 100, 125 and 150 degrees. CTD parameters include Pressure, Temperature, Conductivity, Salinity, Density and Fluorescence. The CTD array is located approximately 4.5 meters from the surface, and there are additional temperature thermistors near the CTD array, at the bottom, and mid way between these two.
SBC LTER: Ocean: Currents and Biogeochemistry: Moored CTD and ADCP data from Carpinteria Reef Mooring (CAR, ongoing since 2001
ADCP (Currents), CTD (Hydrography) and Optics data (Fluorescence, Beam Attenuation and Volume Scattering Function) were collected at Carpinteria Reef in the Santa Barbara Channel (site ID: CAR). Data have been interpolated to a 20 minute interval. ADCP data are binned at a 0.5 meter interval, measured as height from the bottom to a maximum of 16 bins. All bins may not be filled, and in some cases, data from bins technically above the surface are included. VSF data are available at angles, 100, 125 and 150 degrees. CTD parameters include Pressure, Temperature, Conductivity, Salinity, Density and Fluorescence. The CTD array is located approximately 4.5 meters from the surface, and there are additional temperature thermistors near the CTD array, at the bottom, and mid way between these two.
SBC LTER: Ocean: Currents and Biogeochemistry: Moored CTD and ADCP data from Arroyo Quemado Reef Mooring (ARQ), ongoing since 2004
ADCP (Currents), CTD (Hydrography) and Optics data (Fluorescence, Beam Attenuation and Volume Scattering Function) were collected at Arroyo Quemado Reef in the Santa Barbara Channel (site ID: ARQ). Data have been interpolated to a 20 minute interval. ADCP data are binned at a 1.0 meter interval, measured as height from the bottom to a maximum of 16 bins. All bins may not be filled, and in some cases, data from bins technically above the surface are included. VSF data are available at angles, 100, 125 and 150 degrees. CTD parameters include Pressure, Temperature, Conductivity, Salinity, Density and Fluorescence. The CTD array is located approximately 4.5 meters from the surface, and there are additional temperature thermistors near the CTD array, at the bottom, and mid way between these two.
SBC LTER: Ocean: Currents and Biogeochemistry: Moored CTD and ADCP data from Mohawk Outside Spar (MKO), ongoing since 2005
ADCP (Currents), CTD (Hydrography) and Optics data (Fluorescence, Beam Attenuation and Volume Scattering Function) were collected at Mohawk Reef in the Santa Barbara Channel (site ID: MKO). Data have been interpolated to a 20 minute interval. ADCP data are binned at a 0.5 meter interval, measured as height from the bottom to a maximum of 16 bins. All bins may not be filled, and in some cases, data from bins technically above the surface are included. VSF data are available at angles, 100, 125 and 150 degrees. CTD parameters include Pressure, Temperature, Conductivity, Salinity, Density and Fluorescence. The CTD array is located approximately 4.5 meters from the surface, and there are additional temperature thermistors near the CTD array, at the bottom, and mid way between these two.
SBC LTER: Ocean: Currents and Biogeochemistry: Moored CTD and ADCP data from Alegria Reef Mooring (ALE), 1999-2021
ADCP (Currents), CTD (Hydrography) and Optics data (Fluorescence, Beam Attenuation and Volume Scattering Function) were collected at Alegria in the Santa Barbara Channel (site ID: ALE). Data have been interpolated to a 20 minute interval. ADCP data are binned at a 1.0 meter interval, measured as height from the bottom to a maximum of 16 bins. All bins may not be filled, and in some cases, data from bins technically above the surface are included. VSF data are available at angles, 100, 125 and 150 degrees. CTD parameters include Pressure, Temperature, Conductivity, Salinity, Density and Fluorescence. The CTD array is located approximately 4.5 meters from the surface, and there are additional temperature thermistors near the CTD array, at the bottom, and mid way between these two. The mooring data collection was terminated in 2021.
SBC LTER: Ocean: Currents and Biogeochemistry: Moored CTD and ADCP data from Santa Barbara Harbor Mooring (SBH), ongoing since 1999
CTD (Hydrography) data were collected at Santa Barbara Harbor (site ID: SBH). Data have been interpolated to a 20 minute interval. The CTD data for this site are harvested from SCCOOS (http://sccoos.org/) and processed in Matlab.
ADCP wave and current data at Hog Island and Chimney Pole Marsh, VA 2009
Two acoustic doppler profilers were deployed in on Hog Island and Chimney Pole Marsh in 2009. all quantites (velocity, waves, water elevation, attenuation) are described in the file *.hdr (header file)
Dataset from "In silico assessment of collateral eddy current heating in biocompatible implants subjected to magnetic hyperthermia treatments"
<p>This dataset from the publication entitled "Dataset from "In silico assessment of collateral eddy current heating in biocompatible implants subjected to magnetic hyperthermia treatments" contains simulated data of magnetic hyperthermia treatments for three different indications: colorectal cancer, prostate cancer and head & neck cancer. Since the aim of the study is to evaluate the risk of thermal damage caused by the collateral heating of two common types of passive prostheses (hip and dental implants), eddy currents induced in these implants upon interacting with the externally applied ac field during treatment have been computed for all the evaluated regions. Two different alloys for the implants have been considered for each case as well: Ti6Al4V and CoCrMo. At the same time, besides temperature, the specific abosorption rate (SAR) have been also computed to work out the energy deposition in tissues.</p> <p>Calculations have been carried out using a het exchange model with and without thermoregulation.</p> <p>log-log SAR vs T plots have been obtained and proposed as a quick means to pre-check treatment feasibility in each patient. These graphs are thought to be included in treatment planning prior to the clinical procedure.</p> <p>Other parameters taken into account have been the treatment time (5 and 30 minutes), and the maximum tolerable temperature threshold (1 or 5 ºC, as indicated by the ICNIRP commission), all for three main types of tissues, namely fat, bone and muscle. Each tissue have been simulated using three different field intensities (5, 10 and 15 mT).</p> <p>The field frequency has been 300 kHz in all cases.</p> <p>The files "Dataset_description.doc" and "file_scheme.txt" contain the structure and description of the files that make up the dataset.</p> <p>UPDATES FROM PREVIOUS VERSIONS: simulations of the dental implant without thermoregulation have been added.</p>
Supplementary Materials for "On the Scalability of Data Reduction Techniques in Current and Upcoming HPC Systems from an Application Perspective"
<p>Supplementary materials with all used benchmark scripts, plot scripts, benchmark results and PIConGPU example data for the submission to "The 1st International Workshop on Data Reduction for Big Scientific Data (DRBSD-1)" held in conjunction with ISC 2017 in Frankfurt, Germany.</p>
Data for: Ring Current Electron Precipitation During the 17 March 2013 Geomagnetic Storm: Underlying Mechanisms and Their Effect on the Atmosphere
<p>All data are included as MATLAB figure files, png files and MATLAB MAT files.</p><p>File precipitated_flux.mat contains a 4-D array of values of precipitated electron flux in [1/(s cm^2 keV)] for 289 time points from 16 March 2013 to 19 March 2013, with a 15 min time step; 100 values of energy in a range from 10 keV to 1 MeV, with a 10 keV step; on a spatial grid of 28 by 49 (P, R).</p><p>netCDF data can be opened with a variety of software tools, including Matlab, Origin or Python.</p>
Co-design – Part 1: Workshops to explore current imaginaries behind smart home technologies development and use
<h3>Description</h3> <p>This qualitative dataset is the <strong>first part</strong> of a PhD study on co-designing smart home technologies, and represents the data collected during a series of independent <strong>in-person workshops</strong> with professionals developing smart technology, its early-adopters, and late/non-adopters. The data collected during the subsequent parts of the referred study are also available at Zenodo.</p> <h3> </h3> <h3>Documents from workshop with professionals</h3> <ul> <li><strong>P1_WSP-PRO-TRANSCR_R02.docx</strong> (transcription of the workshop's audio recordings)</li> <li><strong>P1_WSP-PRO-VIS_000 </strong>till _<strong>013.jpg</strong> (participant-generated visual data)</li> </ul> <p> </p> <h3>Documents from workshop with early-adopters</h3> <ul> <li><strong>P1_WSP-EA-TRANSCR_R01.docx</strong> (transcription of the workshop's audio recordings)</li> <li><strong>P1_WSP-EA-VIS_000 </strong>till _<strong>011.jpg</strong> (participant-generated visual data)</li> </ul> <p> </p> <h3>Documents from workshop with late/non-adopters</h3> <ul> <li><strong>P1_WSP-LN-TRANSCR_R00.docx</strong> (transcription of the workshop's audio recordings)</li> <li><strong>P1_WSP-LN-VIS_000 </strong>till _<strong>012.jpg</strong> (participant-generated visual data)</li> </ul> <h3> </h3> <h3>Acknowledgements</h3> <p>This study is part of the GECKO Project (<a href="https://gecko-project.eu/">https://gecko-project.eu/</a>) and has received funding from the European Commission under the Horizon2020 MSCA-ITN-2020 Innovative Training Networks programme, Grant Agreement No 955422 (<a href="https://cordis.europa.eu/project/id/955422">https://cordis.europa.eu/project/id/955422</a>).</p>
Processed data and code for manuscript "Non-negligible impact of Stokes drift and wave-driven Eulerian currents on simulated surface particle dispersal in the Mediterranean Sea"
<p>This repository contains the python code and processed data to reproduce analysis and figures from Rühs et al. (2024, Ocean Science): "Non-negligible impact of Stokes drift and wave-driven Eulerian currents on simulated surface particle dispersal in the Mediterranean Sea".</p> <p>To reproduce the whole analysis, including the calculations of the trajectories, the following needs to be downloaded/included into a local working directory:</p> <ul> <li>the content of this repository in respective sub-directories, i.e. code (created and maintained at <a href="https://github.com/sruehs/RuehsEtAl2024_ImpactWavesSurfaceDispersal">https://github.com/sruehs/RuehsEtAl2024_ImpactWavesSurfaceDispersal</a>), data-proc, figs</li> <li>the original surface velocity data, to be downloaded here: <a href="https://zenodo.org/records/10879702">https://zenodo.org/records/10879702</a>, in an additional sub-directory named data-orig</li> </ul> <p>Additionally, the OceanParcels package, available via <a href="https://github.com/OceanParcels/parcels">https://github.com/OceanParcels/parcels</a> or <a href="https://anaconda.org/conda-forge/parcels">https://anaconda.org/conda-forge/parcels</a> needs to be installed in the python working environment. Then, the scripts in the code directory can be executed to re-run the trajectory simulations and analysis. Alternatively, the output in forms of figures and processed data can be accesed directly in the respective sub-directories.</p>
Bicycle Mobility Data: Current Use and Future Potential. An International Survey of Domain Professionals
<p>Active mobility, especially cycling, is an essential building block for sustainable urban mobility. Public and private stakeholders are striving to improve conditions for cycling and subsequently increase its modal share. Data are regarded as key for different measures to become efficient and targeted. There is extensive evidence for an increasing amount of mobility data, availability of new data sources and potential usage scenarios for such data. However, little is known about the current use of these data in policy making, planning and related fields. To the best of our knowledge, it has not been investigated yet to which degree professionals in the broader field of cycling promotion benefit from an increasing amount of cycling-related data. Thus, we conducted a multi-lingual online survey among domain professionals and acquired data on their perspectives on current data availability, use and suitability as well as the potential they see for the use of cycling data in the future. In total, we received 325 complete responses from 32 countries, with the vast majority of 241 valid responses originating from Germany, Austria and Italy. Key findings are: 84% of domain professionals attribute high importance to data, and 89% state that they currently cannot or only partly solve their tasks with the data available to them. Results emphasize the need for making more and better suited data available to professionals in cycling-related positions, in both the private and public sector.</p> <p>Read the full publication: <a href="https://doi.org/10.3390/data6110121">https://doi.org/10.3390/data6110121 </a></p>
Mean current velocity sections along 11°S, 5°S, 35°W, and 23°W from shipboard measurements used in "Transports and pathways of the tropical AMOC return flow from Argo data and shipboard velocity measurements"
<p>This data set contains current velocity measurements used in the study "Transports and pathways of the tropical AMOC return flow from Argo data and shipboard velocity measurements“ by <em>Tuchen et al. (2022)</em> published at <em>Journal of Geophysical Research: Oceans</em>.</p> <p>For the meridional mean sections along 35°W and 23°W, and for the quasi-zonal sections along 11°S and 5°S, one ".mat" file is provided for each of the sections. Please note that the section along 11°S consists of a zonal part (east of 34.2°W) and a cross-shore part closer to the coast. The meridional velocities along the cross-shore part of the 11°S-section are rotated clockwise by 36° in order to derive along-shore velocities.</p> <ul> <li>11°S: meridional velocity / alongshore velocity (V), neutral density (gamma_n), longitude (LON), depth (Z)</li> <li>5°S: meridional velocity (V), neutral density (gamma_n), longitude (LON), depth (Z)</li> <li>35°W: zonal velocity (U), neutral density (gamma_n), latitude (LAT), depth (Z)</li> <li>23°W: zonal velocity (U), neutral density (gamma_n), latitude (LAT), depth (Z)</li> </ul> <p>Mean velocity data in the upper 10 m are replaced by the gridded mean surface current velocities at 1/4° horizontal resolution derived from satellite-tracked surface drifting buoys (<em>Laurindo et al. 2017</em>) that were horizontally interpolated to the resolution of the individual ship sections.</p>
Seasonal to decadal western boundary current variability from sustained ocean observations
<p> </p> <p>Cross-transect velocity time series for HR-XBT transects IX21, PX30, and PX40 in support of: <a href="http://doi.org/10.1029/2022GL097834">Chandler et al. (2022). Seasonal to decadal western boundary current variability from sustained ocean observations.</a> </p> <p> </p> <p>Each netcdf file includes the following variables:</p> <ul> <li>time</li> <li>longitude</li> <li>latitude</li> <li>depth</li> <li>vel</li> <li>gvel_LNM</li> <li>long_for_vel_err</li> <li>lat_for_vel_err</li> <li>vel_err</li> <li>wbc_transport</li> </ul> <p> </p> <p>See also <a href="https://github.com/mlchandler/wbc_sustained_obs">https://github.com/mlchandler/wbc_sustained_obs</a></p>
Driving a low critical current Josephson junction array with a mode-locked laser
<p>Data for article "Driving a low critical current Josephson junction array with a mode-locked laser".</p>
Progressive Weakening of Granite via Piezoelectric Excitation of Quartz with Alternating Current: Experimental Dataset
<p><strong>Summary:</strong></p> <p>This article shares experimental data evidencing alternating-current (AC) induced weakening of Kuru granite specimens. This work reports the mechanical data of dynamic and quasi-static Brazilian Disc (BD) tensile tests. The dynamic BD tensile tests were performed in Split Hopkinson Pressure Bars (SHPB). Additionally, X-Ray Phase Contrast Imaging (XPCI) was used to evidence the fragmentation of BD samples loaded dynamically, and the resulting images are presented in this work in the form of videos. The original data used to attain the fragmentation videos of the BD specimens is available at https://doi.esrf.fr/10.15151/ESRF-ES-962080191. The dataset reported in this Zenodo publication corresponds to the study conducted by Rubio Ruiz et al. (2024). </p> <p><strong>Specimen Segmentation:</strong></p> <p>The granite specimens in this dataset are categorised into three distinct groups:</p> <p>1. Treated-Wet: Specimens subjected to high-voltage alternating current (HV-AC) treatment with direct exposure to dielectric fluid.</p> <p>2. Treated-Dry: Specimens subjected to HV-AC treatment without direct exposure to dielectric fluid.</p> <p>3. Non-Treated-Dry: Specimens that have not undergone any treatment and have not been exposed to dielectric fluid.</p> <p><strong>Included data:</strong></p> <p><strong>Quasi-static and Dynamic Brazilian Disc Test Results:</strong> The dataset consists of mechanical data obtained from dynamic and quasi-static Brazilian disc tests of each specimen type mentioned above. The data of the dynamic tests includes MATLAB figures (in .fig format), which display stress plotted against time. In addition, this dataset includes figures (in .fig format) depicting stress plotted against the dimensionless displacement parameter for both dynamic and quasi-static tests. This parameter is the ratio between the relative displacements of the loading bars and the specimen diameter.</p> <p><strong>Fragmentation Videos:</strong> This data set includes the XPCI-obtained videos capturing the fragmentation process of BD specimens in each specimen category.</p> <p><strong>References:</strong></p> <p>Rubio Ruiz RA, et al. (2024). Progressive weakening of granite by piezoelectric excitation of Quartz with alternating current. Rock Mechanics and Rock Engineering. https://doi.org/10.1007/s00603-024-03948-w</p> <p><strong>Funding: </strong></p> <p>This research was funded by the Research Council of Finland (grant number 340192) </p> <p><strong>Acknowledgements:</strong></p> <p>The authors acknowledge the European Synchrotron Radiation Facility (ESRF) for providing beamtime access at ID 19 beamline (Proposal MI-1397, within the Shock BAG project supported by the European Union’s Horizon 2020 research and innovation program under Grant Agreement No. 870313, Streamline). </p>
Influence of Anode Immersion Speed on Current and Power in Plasma Electrolytic Polishing
<p><span>Plasma electrolytic polishing (PeP) is mainly used to improve the surface quality and thus </span><span>the performance of electrically conductive parts. It is usually used as an anodic process, i.e., the </span><span>workpiece is positively charged. However, the process is susceptible to high current peaks during</span> <span>the formation of the vapour–gaseous envelope, especially when polishing workpieces with a large </span><span>surface area. In this study, the influence of the anode immersion speed on the current peaks and the</span> <span>average power during the initialisation of the PeP process is investigated for an anode the size of a </span><span>microreactor mould insert. Through systematic experimentation and analysis, this work provides</span> <span>insights into the control of the initialisation process by modulating the anode immersion speed. The </span><span>results clarify the relationship between immersion speed, peak current, and average power and</span> <span>provide a novel approach to improve process efficiency in PeP. The highest peak current and average </span><span>power occur when the electrolyte splashes over the top of the anode and not, as expected, when the </span><span>anode touches the electrolyte. By immersion of the anode while the voltage is applied to the anode</span> <span>and counterelectrode, the reduction of both parameters is over 80 %.</span></p>
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