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969 results for “velocity”
Dataset accompanying the publication "Transport and retention of micro-Polystyrene in coarse riverbed sediments: Effects of flow velocity, particle and sediment sizes"
<p>The dataset in this repository is accompanying the publication "Transport and retention of micro-Polystyrene in coarse riverbed sediments: Effects of flow velocity, particle and sediment sizes" (in Microplastics and Nanoplastics, 2023, submitted 09.06.2023)</p> <p>The repository contains the raw image files of all sample filters which were scanned using the fluorescence imaging system ChemiDoc and used to analyse the infiltration behaviour of microplastic polystyrene in the manuscript. In addition, we provide the resulting data from the particle identification and geometric analysis which were derived from the raw data using ImageJ in tabular excel format. The data is structured in folders following the naming of the columns from the manuscript.</p>
Current velocity data from a quasi-continuous survey using ADCP in Satilla River Estuary, Georgia.
<p><strong>Title: </strong>Current velocity data from a quasi-continuous survey using ADCP in Satilla River Estuary, Georgia.</p> <p><strong>Author/Data Collector: </strong>Chunyan Li</p> <p><strong>Point of Contact, PI, Originator: </strong>Chunyan Li (cli@lsu.edu)</p> <p><strong>Description:</strong></p> <p>These are velocity profile data from vessel-towed ADCP obtained in the Satilla River Estuary during a survey conducted on 17–18 November 2004. The instrument was an RDI 600 KHz Workhorse ADCP. The survey was done mostly during daylight time along a 90-degree bend in the middle of the Satilla River Estuary. The observations covered nearly two semidiurnal tidal cycles with 15 repetitions and 33 hours in measurement time. The route is about 11 km in length and covers both the West and East sides of the bend of the channel. Note that tide in this area is essentially semidiurnal which makes 12-h observations sufficient to resolve the main tidal constituents.</p> <p>The ADCP was mounted on one side of the boat approximately 0.4 m below the surface. The vertical bins were 0.5 m. The surveys were conducted at an average cruise speed of about 2.5–3 m/s except at the turns when the vessel had to slow down and during CTD casts when the vessel had to stop for a few minutes. A Seabird Electronic SBE 19 plus CTD was used to measure the vertical profiles of water temperature, salinity, fluorescence, light attenuation, and dissolved oxygen at two to three locations during each survey. Note that only ADCP data are included in this dataset.</p> <p>The data are averaged at about 8-second intervals, excluding bad data. The data presented here are in ASCII with the generic format provided by the RDI’s software WinRiver II output. There are a total of seven data files. There are:</p> <p> </p> <p>ADCP_Nov17_2004_Satilla_River_000t.000</p> <p>ADCP_Nov17_2004a_Satilla_River_000t.000</p> <p>ADCP_Nov17_2004a_Satilla_River_001t.000</p> <p>ADCP_Nov17_2004a_Satilla_River_002t.000</p> <p>ADCP_Nov18_2004a_Satilla_River_000t.000</p> <p>ADCP_Nov18_2004a_Satilla_River_001t.000</p> <p>ADCP_Nov18_2004a_Satilla_River_002t.000</p> <p>Here is an example of the data –</p> <p> 50 25 42 124 10 20 1</p> <p>4 11 17 15 3 34 86 19 10 3.220 -0.410 331.714 17.460</p> <p>-50.84 11.65 -0.88 0.42 0.00 4.00 0.00 -21.08 7.38 7.38 7.52 7.31</p> <p>3.57 6.85 0.78 -3.48 3.57</p> <p>30.9708933 -81.5066250 -47.77 0.00 3.6</p> <p>-4.8 -1.0 -0.5 -12.5 10.0 -12.5 10.0 1.28 6.28</p> <p>30 cm BT dB 0.44 0.082</p> <p> 1.28 50.99 309.66 -39.3 32.5 -3.2 -3.9 99.7 101.2 102.8 101.7 100 -0.03</p> <p> 1.78 53.58 304.67 -44.1 30.5 -0.2 4.0 102.6 103.8 105.5 104.4 100 -0.04</p> <p> 2.28 43.23 318.41 -28.7 32.3 -1.7 -5.8 102.3 103.7 105.2 104.6 100 -0.02</p> <p> 2.78 53.59 320.14 -34.3 41.1 -2.3 8.6 101.3 103.0 105.1 104.3 90 -0.08</p> <p> 3.28 46.16 304.23 -38.2 26.0 -0.6 2.2 100.1 103.6 104.0 102.8 100 -0.06</p> <p> 3.78 55.55 309.19 -43.1 35.1 -1.2 -2.4 100.1 101.3 102.7 102.0 100 -0.09</p> <p> 4.28 47.84 308.45 -37.5 29.7 1.8 2.5 99.6 100.8 101.7 100.9 100 -0.02</p> <p> 4.78 47.27 311.81 -35.2 31.5 -2.4 5.7 98.5 101.7 102.0 100.8 100 -0.02</p> <p> 5.28 40.47 308.48 -31.7 25.2 0.5 0.1 98.1 101.0 101.4 100.8 100 -0.05</p> <p> 5.78 43.89 314.42 -31.3 30.7 -1.8 5.7 97.8 100.9 101.2 101.0 100 -0.11</p> <p> 6.28 44.51 317.27 -30.2 32.7 0.8 2.2 97.3 101.4 100.9 100.6 100 -0.00</p> <p> 6.78 38.19 315.72 -26.7 27.3 -3.2 35.8 107.0 104.9 101.9 112.0 50 2147483647</p> <p> 7.28 -32768 -32768 -32768 -32768 -32768 -32768 255 255 121.6 255 0 2147483647</p> <p> 7.78 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 8.28 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 8.78 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 9.28 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 9.78 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 10.28 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 10.78 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 11.28 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 11.78 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 12.28 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 12.78 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 13.28 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 13.78 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 14.28 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 14.78 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 15.28 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 15.78 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p>The data were used in Li et al. (2008).</p> <p><strong>References</strong></p> <p>Li, C., C. Chen, D. Guadagnoli, and I. Y. Georgiou (2008). Geometry-induced residual eddies in estuaries with curved channels: Observations and modeling studies, <em>Journal of Geophysical Research</em>, Vol. 113, C01005, doi:10.1029/2006JC004031.</p>
Current velocity data from a continuous survey using a towed ADCP in Wilmington River Estuary, Georgia, USA
<p><strong>Title: </strong>Current velocity data from a continuous survey using a towed ADCP in Wilmington River Estuary, Georgia, USA</p> <p><strong>Author/Data Collector: </strong>Chunyan Li</p> <p><strong>Point of Contact, PI, Originator: </strong>Chunyan Li (cli@lsu.edu)</p> <p><strong>Description:</strong></p> <p>These are velocity profile data from vessel towed ADCP obtained in the Wilmington River Estuary during a survey conducted on Sep. 29, 2004, for ~ 11.5 hours. The instrument was an RDI 600 KHz Workhorse ADCP.</p> <p>The ADCP was mounted on a sled towed by the boat. The vertical bins were 0.5 m. The surveys were conducted at an average cruise speed of about 2.5–3 m/s except at the turns when the vessel had to slow down and during CTD casts when the vessel had to stop for a few minutes. A Seabird Electronic SBE 19 plus CTD was used to measure the vertical profiles of water temperature, salinity, fluorescence, light attenuation, and dissolved oxygen during the survey. Note that only ADCP data are included in this dataset.</p> <p>The data are averaged at about 30-second intervals, excluding bad data. The data presented here are in ASCII with the generic format provided by the RDI’s software WinRiver II output. There are a total of two data files. There are:</p> <p>ADCP_Sep29_2004_WM_000_ASC.TXT</p> <p>ADCP_Sep29_2004_WM_001_ASC.TXT</p> <p>Here is an example of the data –</p> <p> 50 50 42 50 1 20 1</p> <p>4 9 29 11 32 26 57 468 60 2.361 -0.824 118.753 24.276</p> <p>49.04 93.15 -0.17 -0.46 0.00 6.00 0.00 3.08 6.63 6.64 6.68 6.59</p> <p>30.53 28.91 26.93 14.22 30.45</p> <p>32.00327167 -81.01664167 31.50 92.41 30.4</p> <p>-22.0 -7.2 -3.2 -11.2 10.0 -10.8 10.0 1.53 5.53</p> <p>50 cm BT dB 0.43 0.073</p> <p> 1.53 52.35 193.13 -11.9 -51.0 -0.3 3.5 92.1 94.8 94.6 95.6 100 -2.02</p> <p> 2.03 49.89 189.47 -8.2 -49.2 -0.1 -2.1 97.7 99.9 100.4 100.4 100 -2.28</p> <p> 2.53 52.68 187.22 -6.6 -52.3 0.7 4.0 99.0 101.3 101.7 101.2 98 -2.84</p> <p> 3.03 48.92 190.92 -9.3 -48.0 -0.2 5.1 99.2 101.3 101.9 101.6 100 -2.21</p> <p> 3.53 51.77 185.37 -4.8 -51.5 0.3 5.7 98.6 101.4 102.0 101.2 100 -2.99</p> <p> 4.03 48.03 186.14 -5.1 -47.8 1.0 1.2 98.5 101.1 101.9 101.0 100 -2.64</p> <p> 4.53 50.69 190.02 -8.8 -49.9 0.5 3.6 98.5 101.2 101.9 101.2 100 -2.32</p> <p> 5.03 43.70 186.57 -5.0 -43.4 0.7 4.4 98.3 101.2 101.9 101.2 100 -2.34</p> <p> 5.53 41.22 186.13 -4.4 -41.0 1.5 -0.3 98.5 101.6 102.0 101.4 83 -2.35</p> <p> 6.03 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p>The ADCP data were used in Li et al. (2008).</p> <p><strong>Acknowledgements</strong></p> <p>I would like to thank Captain Harry Carter who assisted me by driving the boat for the whole day. He also assisted me with CTD casts, deployment, and retrieval of other CTDs. It was a great day working out with him.</p> <p><strong>References</strong></p> <p>Li, C., C. Chen, D. Guadagnoli, and I. Y. Georgiou (2008). Geometry-induced residual eddies in estuaries with curved channels: Observations and modeling studies, <em>Journal of Geophysical Research</em>, Vol. 113, C01005, doi:10.1029/2006JC004031.</p> <p> </p>
Atchafalaya shelf velocity data from May 2011 during a Mississippi River flood period
<p>Current velocity measured over the Atchafalaya shelf by an ADCP mounted on from R/V Pelican during the Mississippi River flood period in May 2011.</p>
Dataset for the "Comparison of fiber interferometric sensor with a commercial interferometer for a Kibble balance velocity calibration"
<p>This dataset supports findings of the study presented in paper "Comparison of fiber interferometric sensor with a commercial interferometer for a Kibble balance velocity calibration".</p>
IODP Expedition 382 P-wave velocity logger (whole round)
<p>P-wave velocity data were measured on whole-round sections on the Whole-Round Multisensor Logger (WRMSL) using pairs of piezoelectric transducers mounted on a caliper system. Measurements may be affected by degassing of pore fluid and microfracturing during core recovery. Report includes P-wave velocity in x-y plane and distance and traveltime between transducers.</p>
IODP Expedition 382 P-wave velocity caliper (section/discrete)
<p>P-wave velocity data were measured on undisturbed section halves (JRSO-defined x-axis) and/or discrete cube and cylinder samples (x, y, or z-axis) using pairs of piezoelectric transducers mounted on a caliper system. Report includes P-wave velocity in x, y, and/or z-direction, caliper separation, traveltime between transucers, and first arrival picks.</p>
IODP Expedition 392 P-wave velocity logger (whole round)
<p>P-wave velocity data were measured on whole-round sections on the Whole-Round Multisensor Logger (WRMSL) using pairs of piezoelectric transducers mounted on a caliper system. Measurements may be affected by degassing of pore fluid and microfracturing during core recovery. Report includes P-wave velocity in x-y plane and distance and traveltime between transducers.</p>
IODP Expedition 392 P-wave velocity caliper (section/discrete)
<p>P-wave velocity data were measured on undisturbed section halves (JRSO-defined x-axis) and/or discrete cube and cylinder samples (x, y, or z-axis) using pairs of piezoelectric transducers mounted on a caliper system. Report includes P-wave velocity in x, y, and/or z-direction, caliper separation, traveltime between transucers, and first arrival picks.</p>
Flume 3D Flow Velocities - Otemma Outdoor Flume Experiment (2021)
<p><strong>Flume 3D Flow Velocities - Otemma Outdoor Flume Experiment (2021)</strong></p> <p>We collected the 3D flow velocities with an Acoustic Doppler Velocimeter (ADV), the Nortek Vectrino (VCN9421), supported by a sliding aluminum structure that allowed us to relocate the ADV precisely within the flumes. In each flume, we sampled the 3D velocities of 45 points, and we did this for the near-bed layer at 1 cm from the flume bottom. The sampling points were divided in three parallel lines (15 points each), located at the center of the flume and sufficiently away from the flume walls to avoid wall hydraulic interference. Each sampling point was measured for 60 seconds at a sampling rate of 25 Hz.</p> <p> </p> <p>Data format and information:</p> <ul> <li>Flume A: mmdd_FA_nD or mmdd_FA_nE or mmdd_FA_nF (n is the number of sampling point, from 1 to 15)</li> <li>Flume B: mmdd_FB_nA or mmdd_FB_nB or mmdd_FB_nC (n is the number of sampling point, from 1 to 15)</li> <li>Data are in .dat format</li> <li>File headers are provided (Header_A and Header_B), and are meant to explain the structures of the .dat matrices</li> </ul>
Less is more: selection from a small set of options improves BCI velocity control
Open the record for dataset details and reuse information.
Eddy flux measurements and transfer velocities of momentum, water vapor, and sulfur dioxide over the coastal Atlantic ocean
Open the record for dataset details and reuse information.
2012-2013 Sub-ice Current Velocities Recorded with an Acoustic Doppler Current Profiler
Between 26 November 2012 and 22 January 2013, a SonTek Argonaut-XR 1.5 MHz Acoustic Doppler Current Profiler (ADCP) was fixed at the bottom of the Limno Sampling Hole in Lake Hoare, looking downward through the water column. Every 30 seconds, the ADCP measured horizontal and vertical current velocities in six, 50-cm-thick cells between 0.5 and 3.5 m below the lake ice. The observation interval became deeper over time as the ADCP platform melted into the lake ice and the lake ice thinned. Data collected from 26 to 30 November represent pre-discharge data when wind and solar radiation were the only forces acting on the lake. Data from 30 November to 8 December transition from pre-discharge to spring freshet conditions on 6 December. Spring freshet was the most dynamic period observed with highest velocities recorded. Data from 8 to 13 December transitioned from the end of spring freshet on 10 December to summer diurnal discharge conditions. Data from the remaining datasets, 13 to 22 December, 22 to 29 December, 29 December to 6 January, 6 to 13 January, and 13 to 22 January, reflect conditions during summer diurnal stream discharge, especially data from 29 December to 6 January. From these observations, solar radiation, wind, glacial runoff during spring
Air-sea gas transfer velocities measured at wind speeds up to 85m/s in fresh water and seawater
<p>This data set contains gas transfer velocities of 12 tracers (CF4, He, SF6, He, Kr, Pentafluoroethane, Xe, Acetylene, Hexafluorobenzene, Difluoromethane, 1,4-Difluorobenzene, Dimethyl Sulfide, Methyl Acetate) measured in the Kyoto High Speed Wind-Wave tank with fresh water and modeled seawater and the Miami SUSTAIN wind-wave tank with seawater at wind speeds up to 85m/s.</p> <p> </p>
Overriding-plate velocity control on surface topography in 2-d models of subduction zones
<p>Dataset associated with the paper entitled "Overriding-plate velocity control on surface topography in 2-d models of subduction zones" by Cerpa and Arcay, G3, 2020.</p> <p>The repository contains : </p> <p>- Data and model output files used for generating the figures in the manuscript </p> <p>- Python scripts to generate the figures in the main text of the manuscript</p> <p> </p> <p>Please, contact N. Cerpa (nestor.cerpa@gm.univ-montp2.fr) for additional information</p> <p> </p>
Five-minute average horizontal wind velocity data combined from both sensors (which has been corrected for air-flow distortion) from the Antarctic Circumnavigation Expedition (ACE) 2016/2017 legs 0 to 4.
<p><strong>Dataset abstract</strong></p> <p>The horizontal wind velocity data from the Antarctic Circumnavigation Expedition (ACE) 2016/2017 legs 0 to 4 has been corrected for air-flow distortion. The measurements from both the port and starboad side anemometer were averaged to five-minute resolution and have been combined via vector averaging of the data. The ten meter neutral wind speed (U10N) has been estimated using ERA-5 surface heat fluxes, which were interpolated onto the ship's track, and the COARE 3.5 drag coefficient. This data set provides a continous and high-resolution record of the wind speed and direction near to the ship's location.</p> <p><strong>Dataset contents</strong></p> <ul> <li>wind-observations-port-stbd-corrected-combined-5min-legs0-4.csv, data file, comma-separated values</li> <li>data_file_header, metadata, text format</li> <li>README.txt, metadata, text format</li> </ul> <p><strong>Dataset license</strong></p> <p>This five-minute averaged wind velocity dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/</p>
One-minute average horizontal wind velocity data (which has been corrected for air-flow distortion) from the Antarctic Circumnavigation Expedition (ACE) 2016/2017 legs 0 to 4.
<p><strong>Dataset abstract</strong></p> <p>One-minute average horizontal wind velocity data from the Antarctic Circumnavigation Expedition (ACE) 2016/2017 legs 0 to 4. The data has been filtered for spurious observations and the true wind correction has been redone using the quality checked one-minute ship track velocity data. The data has been corrected for air-flow distortion, which was caused by the ship's super structure.</p> <p><strong>Dataset contents</strong></p> <ul> <li>wind-observations-stbd-corrected-1min-legs0-4.csv, data file, comma-separated values</li> <li>wind-observations-port-corrected-1min-legs0-4.csv, data file, comma-separated values</li> <li>data_file_header, metadata, text format</li> <li>README.txt, metadata, text format</li> </ul> <p><strong>Dataset license</strong></p> <p>This one-minute averaged wind velocity dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/</p>
Data and Code from Pritchard & Vallejo-Marin (2020) "Floral vibrations by buzz-pollinating bees achieve higher frequency, velocity and acceleration than flight and defence vibrations"
<p>Data and Code from Pritchard & Vallejo-Marin (2020) "Floral vibrations by buzz-pollinating bees achieve higher frequency, velocity and acceleration than flight and defence vibrations" Journal of Experimental Biology. doi: 10.1242/jeb.220541</p>
GPS velocity field in the Pamir region in the Eurasian-fixed frame complied from our own results and previous studies
<p>The data file includes the GPS velocities with respect to the Eurasian frame in the Pamir, Tien Shan region.</p>
Sliding velocity, water discharge and basal shear stress time series at Argentière Glacier
<p>The data set contains all data presented in:</p> <p>Gimbert, F., Gilbert, A., Gagliardini, O., Vincent, C., & Moreau, L. (2021). Do Existing Theories Explain Seasonal to Multi-Decadal Changes in Glacier Basal Sliding Speed? <em>Geophysical Research Letters</em>, <em>48</em>(15), e2021GL092858. <a href="https://doi.org/10.1029/2021GL092858">https://doi.org/10.1029/2021GL092858</a></p> <p>and also in:</p> <p>Gilbert, A., Gimbert, F., Thøgersen, K., Schuler, T. V., & Kääb, A. (2022). A Consistent Framework for Coupling Basal Friction with Subglacial Hydrology on Hard-bedded Glaciers. <em>Geophysical Research Letters</em>, <em>49</em>, e2021GL097507. <a href="https://doi.org/10.1029/2021GL097507">https://doi.org/10.1029/2021GL097507</a></p> <p>Files Description:</p> <p>==================================<br> SlidingVelocities1989_2019.csv :<br> ==================================</p> <p>Contains daily values of recorded sliding velocities at the wheel.</p> <p>Column 1 = Date<br> Column 2 = Daily Values (cm/day)</p> <p>================================<br> BasalShearStress1980_2019.csv :<br> ================================</p> <p>Contains daily values of inferred basal shear stress at the wheel.</p> <p>Column 1 = Date<br> Column 2 = Daily Values (MPa)</p> <p>================================<br> WaterDischarge1985_2019.csv :<br> ================================</p> <p>Contains daily values of recorded water discharge at the glacier outlet</p> <p>Column 1 = Date<br> Column 2 = Daily Values (m3/s)</p>
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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.