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61 results for “saltation”
Aeolian saltation fieldwork: values for size-selective transport measurements
<p>This excel spreadsheet (‘SizeSelectiveTransport.xlsx’) contains the following information on surface and airborne particle size distributions (PSDs) for size-selective saltation transport analyses at our six field sites (Jericoacoara, Rancho Guadalupe, Oceano N1, Oceano S1, Oceano N2, Oceano S2):</p> <ul> <li><strong>“d_lower_mm”</strong> – Lower limit diameter for each particle size bin [mm].</li> <li><strong>“d_mid_mm”</strong> – Midpoint diameter for each particle size bin [mm].</li> <li><strong>“d_upper_mm”</strong> – Upper limit diameter for each particle size bin [mm].</li> <li><strong>“dVdlnd_bed”</strong> – Site-averaged non-dimensionalized volume fraction in each size bin for surface samples, <span class="math-tex">\(\frac{dV_{bed}}{d\ln(d)}\)</span>.</li> </ul> <p>The field measurements from which these values were calculated are described in Martin and Kok (2017).</p> <ul> <li><strong>“dVdlnd_air”</strong> – Site-averaged non-dimensionalized volume fraction in each size bin for airborne samples, <span class="math-tex">\(\frac{dV_{air}}{d\ln(d)}\)</span>.</li> <li>Site-averaged non-dimensionalized volume fraction in each size bin for airborne samples, conditioned on each non-dimensionalized shear stress range, <span class="math-tex">\(\frac{dV_{air}}{d\ln(d)}|_{\tau/\tau_{it}}\)</span>. Cases in which a PSD is lacking for a shear stress range are marked as “NaN”: <ul> <li><strong>“dVdlnd_air_taunorm_below_10”</strong> – for <span class="math-tex">\(\tau/\tau_{it} \leq 1.0\)</span></li> <li><strong>“dVdlnd_air_taunorm_10_15”</strong> – for <span class="math-tex">\(1.0 < \tau/\tau_{it} \leq 1.5\)</span></li> <li><strong>“dVdlnd_air_taunorm_15_22</strong>” – for <span class="math-tex">\(1.5 < \tau/\tau_{it} \leq 2.2\)</span></li> <li><strong>“dVdlnd_air_taunorm_22_30”</strong> – for <span class="math-tex">\(2.2 < \tau/\tau_{it} \leq 3.0\)</span></li> <li><strong>“dVdlnd_air_taunorm_30_40”</strong> – for <span class="math-tex">\(3.0 < \tau/\tau_{it} \leq 4.0\)</span></li> </ul> </li> <li><strong>“f_bed”</strong> – Fraction of bed surface particles in size bin <em>i</em>, <span class="math-tex">\(f_{bed,i}\)</span>. Fraction is computed only for bins with particle diameter <em>d</em> > 1.3 mm. Bins below this value are marked as “NaN”.</li> <li><strong>“f_air_bar”</strong> – Mean fraction of airborne particles in size bin <em>i</em>, <span class="math-tex">\(\langle f_{air,i} \rangle\)</span>. Fraction is computed only for bins with particle diameter <em>d </em>> 1.3 mm. Bins below this value are marked as “NaN”.</li> <li><strong>“f_air_sigma”</strong> – Uncertainty on mean fraction of airborne particles in size bin <em>i</em>, <span class="math-tex">\(\sigma_{\langle f_{air,i} \rangle}\)</span>. “NaN” values correspond to undefined values for f_air_bar.</li> </ul> <p>The Matlab file (‘GrainSizeData.mat’) includes further raw data, including number-based size distributions for individual samples.</p>
Figure 1 in A tritrophic interaction at the Brazilian triple frontier: new record of parasitism on Conocephalus saltator (Sausurre, 1859) (Orthoptera, Tettigoniidae)
Figure 1 Individuals of Conocephalus saltator. A: Adult male; B: Adult female; C: Male nymph; D: Female nymph; E: Male nymph, feeding on grass seeds.
Figure 3 in A tritrophic interaction at the Brazilian triple frontier: new record of parasitism on Conocephalus saltator (Sausurre, 1859) (Orthoptera, Tettigoniidae)
Figure 3 All reared specimens of Perilampus sp. A: specimen 477, lateral view; B: specimen 477, dorsal view; C: specimen 40; D: specimen 337; E: specimen 55.
Linked collectors and determiners for: Talitrus saltator (Montagu, 1808), a species complex (Amphipoda, Senticaudata Talitroidea, Talitridae).
Natural history specimen data linked to collectors and determiners held within, "Talitrus saltator (Montagu, 1808), a species complex (Amphipoda, Senticaudata Talitroidea, Talitridae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/0df60ac3-92fe-491e-ba26-40d2db665a4e">https://bionomia.net/dataset/0df60ac3-92fe-491e-ba26-40d2db665a4e</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/0df60ac3-92fe-491e-ba26-40d2db665a4e">https://gbif.org/dataset/0df60ac3-92fe-491e-ba26-40d2db665a4e</a>. Formatted as a Frictionless Data package.
High-frequency measurements of aeolian saltation flux: time series data
<p>High-frequency (25-50 Hz) coupled observations of wind speed and aeolian saltation flux (i.e, the wind-blown movement of sand) were measured at three field sites: Jericoacoara, Brazil; Rancho Guadalupe, California; and Oceano, California. The dataset provided here contains the full record of raw and processed time series of saltation flux and wind speed measured at multiple heights above the sediment surface.</p>
Aeolian saltation fieldwork 30-minute wind and saltation values
<p>Excel spreadsheet (.XLSX) containing 30-minute values for shear velocity, shear stress, wind direction, stability parameter, saltation layer height, total saltation flux, saltation detection frequency, and associated uncertainties for most of these values for field deployments at Jericoacoara (Brazil), Rancho Guadalupe (California), and Oceano (California).</p>
Aeolian saltation fieldwork binned 30-minute wind and saltation values
<p>Excel spreadsheet (.XLSX) containing binned 30-minute values for shear velocity, shear stress, excess shear stress, saltation layer height, total saltation flux, normalized saltation flux, saltation detection frequency, and associated uncertainties for all of these values. The spreadsheet also lists the numbers of 30-minute values in each bin. Data are from field deployments at Jericoacoara (Brazil), Rancho Guadalupe (California), and Oceano (California).</p>
Aeolian saltation fieldwork: values for impact and fluid threshold analysis
<p>Excel spreadsheet (.XLSX) containing the following information for the analysis of impact and fluid thresholds presented by Martin and Kok (2017), for averaging interval of 2 seconds and analysis interval of 1 minute. Data are from field deployments at Jericoacoara (Brazil), Rancho Guadalupe (California), and Oceano (California).</p> <p>The spreadsheet contains the following fields:</p> <ul> <li>Date of analysis interval (“Date”).</li> <li>Start time of analysis interval (“StartTime”).</li> <li>End time of analysis interval (“EndTime”).</li> <li>Calculated transport activity (“f_Q”).</li> <li>Calculated effective threshold wind speed (“u_th”) in m/s. This value is undefined (“NaN”) for intervals with f_Q = 0 or f_Q = 1.</li> <li>Fluid threshold hypothesis predicted transport activity (“f_Q_ft”).</li> <li>Impact threshold hypothesis predicted transport activity (“f_Q_it”).</li> <li>Dual threshold hypothesis predicted transport activity (“f_Q_dual”).</li> <li>Stability parameter (“z/L”) obtained from wind speed fluctuations in corresponding 30-minute time interval. This value is sometimes undefined (“NaN”) for intervals of very weak wind.</li> <li>Wind direction (“theta”) in degrees. Value is relative to dominant wind direction at site.</li> </ul> <p>The field measurements from which these values were calculated are described in Martin et al. (2017).</p> <p> </p> <p><strong>References:</strong></p> <p>Martin, R. L. and J. F. Kok (2017), Field evidence for fluid and impact thresholds in aeolian saltation, <em>arXiv:1610.10059v3</em>.</p> <p>Martin, R. L., J. F. Kok, and M. Chamecki (2017), Comprehensive field campaigns illustrate new methods for characterizing high-frequency variability in aeolian saltation flux, <em>arXiv:1609.08707v2</em>.</p>
Aeolian saltation fieldwork: values for impact and fluid threshold analysis
<p><strong>This dataset replaces the previously published dataset http://doi.org/10.5281/zenodo.321417.</strong></p> <p>Excel spreadsheet (.XLSX) containing the following information for the analysis of impact and fluid thresholds presented by Martin and Kok (2017), for averaging interval of 2 seconds and analysis interval of 1 minute. Data are from field deployments at Jericoacoara (Brazil), Rancho Guadalupe (California), and Oceano (California).</p> <p>The spreadsheet contains the following fields:</p> <ul> <li>Date of analysis interval (“Date”).</li> <li>Start time of analysis interval (“StartTime”).</li> <li>End time of analysis interval (“EndTime”).</li> <li>Calculated transport activity (“f_Q”).</li> <li>Calculated effective threshold wind speed (“u_th”) in m/s. This value is undefined (“NaN”) for intervals with f_Q = 0 or f_Q = 1.</li> <li>Stability parameter (“z/L”) obtained from wind speed fluctuations in corresponding 30-minute time interval. This value is sometimes undefined (“NaN”) for intervals of very weak wind.</li> <li>Wind direction (“theta”) in degrees. Value is relative to dominant wind direction at site.</li> </ul> <p>The field measurements from which these values were calculated are described in Martin et al. (2017).</p>
Song of a male Green-winged Saltator (Saltator similis)
<p>Supplementary file for the article <em>Song as a signal of identity and quality in male Green-winged Saltator (Saltator similis).</em> This is a section from a recording containing songs from a single individual. Recorded inside the recording room reported in the paper.</p>
Aeolian Saltation Data at Duck, NC - 8 Nov 2021
<p>Aeolian saltation data collected on the north property of the Field Research Facility (FRF) in Duck, NC associated with the passing of a Nor'Easter system. Time series data includes 1Hz measurements from a Sensit H14-LIN sensor, 1 Hz wind measurements from a horizontally mounted ZX TM doppler wind lidar sensor, and tidal measurements made from the end of the FRF pier. These time series data are provided as CSV files individually for each sensor, with headers of the CSV files indicating the variables of interest. Addititionally, a Sequoia LISST-Holo2 sensor was deployed to measure properties of the aeolian saltation layer at 10Hz. Particle grain size information exported from the HoloBatch program is additionally provided, with the raw reconstructed particle height relative to the sensor lens provided. More details regarding these measurements can be found in the following manuscript:</p> <p>Cohn, Dickhudt, and Marshall (2022). In-situ measurement of grain size characteristics within the aeolian saltation layer on a coastal beach. Earth Surface Processes and Landforms</p>
Experimental data of Large Effects of Particle Size Heterogeneity and Measurement Method on Dynamic Saltation Threshold
<p>There are the experimental data we conducted in a wind tunnel in Lanzhou University. And we present the original data about wind velocitys <em><strong>U</strong></em> [m/s] and corresponding measuring locations <em><strong>H</strong></em> above the sand bed [cm] with different sand size distribution here.</p>
Figure 2 in A tritrophic interaction at the Brazilian triple frontier: new record of parasitism on Conocephalus saltator (Sausurre, 1859) (Orthoptera, Tettigoniidae)
Figure 2 Individual of Ormia cfr. crespoi. A: Female, lateral view; B: Female, dorsal view.
Aeolian saltation measurement and meteorological data over typical desert surfaces on the Alxa Plateau
<p>The data were collected from five meteorological stations situated over typical desert surfaces on the Alxa Plateau from November 2018 to December 2019. This dataset encompassed mean daily wind speed and direction, air temperature (℃), relative humidity (RH), cumulative saltation particle counts and kinetic energy. The measurement duration at the gravel Gobi site lasted over 9 months for uncontrollable reasons. Due to the involvement of unpublished articles in high-resolution data, this dataset only provides daily data as a reference. We will supplement high-resolution data in the future.</p>
Response of flow and saltating particle characteristics to bed roughness and particle spatial density
<p>The data were used in the paper "Response of flow and saltating particle characteristics to bed roughness and particle spatial density" which was submitted to "<em>Water Resources Research</em>". In this paper, The numerical model combining LES method and point-particle method is applied for tracking particle trajectories. The effects of bed roughness and particle spatial density on the bedload transport are investigated by numerical simulations. The distributions of key parameters for saltation, including their changes, are assessed using the PDF curves. </p>
On the influence of bed roughness on saltation in inertial regime
<p>Matlab files containing jumps (hops) features (measurement done via Tracker software, image analysis) by columns: 1/ hop length, 2/ hop height, 3/ horizontal rebund velocity, 4/ vertical rebund velocity, 5/ horizontal impact velocity, 6/ vertical impact velocity, 7/ horizontal impact velocity at the end of the jump, 8/ vertical impact velocity at the end of the jump, 9/ rebund angle, 10/ impact angle, 11/ impact angle at the end of the jump. Original videos available on request (very large files).</p>
High-frequency measurements of aeolian saltation flux: time series data
Open the record for dataset details and reuse information.
Representation model of wind velocity fluctuations and saltation sand transport in aeolian sand flow
<p>The data of the figures in the article.</p>
FIGURE 14 in Five new species of Myrsidea Waterston (Phthiraptera: Menoponidae) from saltators and grosbeaks (Passeriformes: Cardinalidae)
FIGURE 14. Phylogeny of various Myrsidea species derived from maximum likelihood analyses of 379 bp of the mitochondrial COI gene. Searches involved 10 random addition replicates using a GTR + I + G model. Numbers above branches are support from 100 likelihood bootstrap replicates. Branches are proportional to substitutions per site (scale indicated). Tree rooted on Dennyus hirundinis (Linnaeus, 1761) (not shown). M. = Myrsidea.
FIGURES 10–13. 10–11. Myrsidea sychrai. 10. Male dorsoventral metathorax and abdomen. 11. Female dorsoventral metathorax and abdomen. 12–13. M. pittendrighi. 12. Female dorsoventral metathorax and abdomen. 13 in Five new species of Myrsidea Waterston (Phthiraptera: Menoponidae) from saltators and grosbeaks (Passeriformes: Cardinalidae)
FIGURES 10–13. 10–11. Myrsidea sychrai. 10. Male dorsoventral metathorax and abdomen. 11. Female dorsoventral metathorax and abdomen. 12–13. M. pittendrighi. 12. Female dorsoventral metathorax and abdomen. 13. Male dorsoventral metathorax and abdomen.
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