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1,032 results for “vertical”
Measurement report: Vertical profiling of particle size distributions over Lhasa, Tibet: Tethered balloon-based in-situ measurements and source apportionment
<p>Particle size distribution data in summer 2020 in Lhasa, Tibet for https://doi.org/10.5194/acp-2021-810</p>
data for the paper "Role of Vertical Mixing in the Upper Ocean in the Seasonal Variation of Arctic Amplification" in 2nd round peer review
<p>Here are all data for the paper "Role of Vertical Mixing in the Upper Ocean in the Seasonal Variation of Arctic Amplification", which is still during its peer review period. </p>
Carbon isotopic constraints on basin-scale vertical and lateral particulate organic carbon dynamics in the northern South China Sea
<p>This dataset includes:(1) Table S1. Time-series of total mass fluxes, POC content, POC fluxes, Lithogeinic matter content, lithogenic matter flux, C/N mole ratio,as well as the POC isotopic compositions (δ<sup>13</sup>C, <em>F</em><sub>m</sub>) for sediment trap intercepted sinking particles (n = 59) in the northern South China Sea basin . (2) Table S2. Time-series monthly dust deposition (dry+wet) at station SCS-N of northern South China Sea basin. (3) Table S3. POC content and radiocarbon isotopic compositions for sediment trap intercepted bulk organic carbon from the South China Sea supplementary to one-year time series (2014-2015) published in Blattmann, T.M. et al., 2018. Geophysical Research Letters, 45(17): 9077-9086. (4) Table S4. Time-series clay mineral content and compositions for sediment trap intercepted sinking particles from the South China Sea supplementary to one-year time series (2009-2010) published in Schroeder A. et al., 2015 . Earth Planet. Sci. Lett. 430: 30–42. The dataset is archived in .xlsx data format, consists of four data files with data size of 34 KB.</p>
Influence of rotation speed on flow field and hydraulic noise in the conduit of a vertical axial-flow pump under low flow rate condition
<p>The complex flow inside the axial-flow pump device will cause the problem of hydraulic noise, in order to explore the influence law of rotation speed on the internal flow characteristics and hydraulic noise of the axial-flow pump conduit, the combination of Computational Fluid Dynamics (CFD) and Computational Acoustics (CA) is used to numerically solve the flow field and internal sound field in the pump device. The results show that the flow in the elbow inlet conduit is smooth at different rotation speeds, and there is no obvious unstable flow. The higher the rotation speed, the more disordered the flow pattern in the left half of the elbow, which intensifies the unstable flow in the straight outlet conduit. The impeller is the main sound source of the internal hydrodynamic noise of the vertical axial-flow pump device, when the sound source propagates upstream and downstream along the conduit, the Total Sound Source Intensity (TSSI) will gradually decay with the increase of distance, the greater the rotation speed is, the faster the Total Sound Source Intensity (TSSI) will decay. When the rotation speed is increased from 1450 r/min to 2200 r/min, the TSSI in the straight outlet conduit is attenuated by 8.9 dB, 13.9 dB and 16.0 dB respectively, and the TSSI in the elbow inlet conduit is attenuated by 11.0 dB, 13.5 dB and 25.9 dB respectively. The vortex structure in the conduit will induce flow noise and delay the attenuation of TSSI in the propagation process, with the increase of rotation speed, this delay will be more obvious.</p>
Vertical wake deflection for floating wind turbines by differential ballast control
<pre>This paper presents a feasibility analysis of vertical wake steering for floating turbines by differential ballast control. This new concept is based on the idea of pitching the floater with respect to the watersurface, thereby achieving a desired tilt of the turbine rotor disk. The pitch attitude is controlled by moving water ballast among the columns of the floater. This study considers the application of differential ballast control to a conceptual 10~MW wind turbine installed on two platforms, differing in size, weight and geometry. The analysis considers: a) the aerodynamic effects caused by rotor tilt on the power capture of the wake-steering turbine and at various downstream distances in its wake; b) the effects of tilting on fatigue and ultimate loads, limitedly to one of the two turbine-platform layouts; and c) for both configurations, the necessary amount of water movement, the time to achieve a desired attitude and the associated energy expenditure. Results indicate that (in accordance with previous research) steering the wake towards the sea surface leads to larger power gains than steering it towards the sky. Limitedly to the structural analysis conducted on one of the turbine-platform configurations, it appears that these gains can be obtained with only minor effects on loads, assuming a cautious application of vertical steering only in benign ambient conditions. Additionally, it is found that rotor tilt can be achieved in the order of minutes for the lighter of the two configurations, with reasonable water ballast movements.Although the analysis is preliminary and limited to the specific cases considered here, results seem to suggest that the concept is not unrealistic, and should be further investigated as a possible means to achieve variable tilt control for vertical wake steering in floating turbines.</pre>
Diving into the vertical dimension of elasmobranch movement ecology
<p>Knowledge of the three-dimensional movement patterns of elasmobranchs is vital to understanding their ecological roles and exposure to anthropogenic pressures. To date, comparative studies among species at global scales have mostly focused on horizontal movements. Our study addresses the knowledge gap of vertical movements by compiling the first global synthesis of vertical habitat use by elasmobranchs from data obtained by deployment of 989 biotelemetry tags on 38 elasmobranch species. Elasmobranchs displayed high intra- and interspecific variability in vertical movement patterns. Significant vertical overlap was observed for many epipelagic elasmobranchs, indicating an increased likelihood to display spatial overlap, biologically interact, and share similar risk to anthropogenic threats that vary on a vertical gradient. We highlight the critical next steps towards incorporating vertical movement into global management and monitoring strategies for elasmobranchs, emphasising the need to address geographic and taxonomic biases in deployments and to concurrently consider both horizontal and vertical movements.</p>
data sets from "Updated trends of the stratospheric ozone vertical distribution in the 60S–60N latitude range based on the LOTUS regression model"
<p>Monthly means data sets from satellite, ground-based and model records used in the article entitled: "Updated trends of the stratospheric ozone vertical distribution in the 60 S–60 N latitude range based on the LOTUS regression model"</p> <p> </p>
data sets from "Updated trends of the stratospheric ozone vertical distribution in the 60S–60N latitude range based on the LOTUS regression model"
<p>Monthly means data sets from satellite, ground-based and model records used in the article entitled: "Updated trends of the stratospheric ozone vertical distribution in the 60 S–60 N latitude range based on the LOTUS regression model".</p> <p>Information about and the most recent versions of each dataset can be found at their individual source locations:</p> <p>Merged satellite datasets</p> <ol> <li>SBUV MOD – https://acd-ext.gsfc.nasa.gov/Data_services/merged/index.html (NASA GSFC, USA)</li> <li>SBUV COH: https://ftp.cpc.ncep.noaa.gov/SBUV_CDR/ (NOAA, USA).</li> <li>GOZCARDS: https://www.earthdata.nasa.gov/esds/competitive-programs/measures/gozcards (JPL, NASA, USA)</li> <li>SWOOSH: https://csl.noaa.gov/groups/csl8/swoosh/ (NOAA, USA).</li> <li>SAGE-CCI-OMPS and MEGRIDOP datasets are available through https://climate.esa.int/en/projects/ozone/data/ and ftp://cci_web@ftp-ae.oma.be/esacci (ESA Climate Office). They are provided by FMI, Finland</li> <li>SAGE-SCIAMACHY-OMPS: data record is available upon registration via the following link: http://www.iup.uni-bremen.de/DataRequest/ (U. Bremen, Germany).</li> <li>SAGE-OSIRIS-OMPS: downloading instructions can be found at https://research-groups.usask.ca/osiris/data-products.php#OSIRISLevel3andMergedDataProducts (U. Saskatchewan, Canada).</li> </ol> <p>Ground-based records:</p> <ol> <li>Umkehr – https://gml.noaa.gov/aftp/data/ozwv/Dobson/AC4/Umkehr/Monthly/ (NOAA, USA)</li> <li>ozonesondes – https://hegiftom.meteo.be/datasets/ozonesondes (HEGIFTOM). Measurements at the various stations are provided by the following institutions: <ul> <li>Hohenpeissenberg: DWD, Germany</li> <li>Payerne:MeteoSwiss, Switzerland</li> <li>OHP, CNRS, France</li> <li>Hilo, NOAA, USA</li> <li>Lauder, NIWA, New Zealand</li> </ul> </li> <li>lidar: <a href="http://www.ndacc.org/">http://www.ndacc.org/</a> . Measurement at the various stations are provided by the following institutions: <ul> <li>Hohenpeissenberg: DWD, Germany</li> <li>OHP: CNRS, France</li> <li>MLO: JPL, NASA, USA</li> <li>Lauder: NIWA, New Zealand</li> </ul> </li> <li>FTIR spectrometers – <a href="http://www.ndacc.org/">http://www.ndacc.org/</a> Three sites only provided quality checked measurements relevant for the article. For other ozone FTIR measurements, data in <a href="http://www.ndacc.org/">http://www.ndacc.org/</a> must be used. Measurement used in the article are provided by the following institutions: <ul> <li>Zugspitze: KIT, Germany</li> <li>Jungfraujoch: ULiège, GIRPAS team, Belgium</li> <li>Lauder: NIWA, New Zealand</li> </ul> </li> <li>Microwave spectrometers: <a href="http://www.ndacc.org/">http://www.ndacc.org/</a> Measurement at the various stations are provided by the following institutions: <ul> <li>Payerne: MeteoSwiss, Switzerland</li> <li>Mauna Loa: NRL, USA</li> <li>Lauder: NRL, USA</li> </ul> </li> </ol> <p>Chemistry Climate Model (CCM) CCMI simulations are avilable at https://blogs.reading.ac.uk/ccmi</p>
Vertical velocity maps for the Nice Côte d'Azur airport measured by InSAR
<p>The present datasets consists in three InSAR velocity maps in mm/yr (vertical land velocity) that shows the ongoing Nice Côte d'Azur airport subsidence from 1992 until today. The three velocity maps have been computed from SAR data acquired by three succesive ESA missions (ERS, Envisat, and Sentinel-1).</p>
Tibetan zenith wet delay model with refined vertical correction
<p>MATLAB scripts and coefficient matrix of the TZ model, which corresponds to the paper "Tibetan zenith wet delay model with refined vertical correction"</p>
Water vapor vertical distribution on Mars during perihelion season of MY 34 and MY 35 with ExoMars-TGO/NOMAD observations [Dataset]
<p>1. Description of methods used for collection/generation of data:<br> NOMAD SO channel acquires transmittance spectra at different diffraction orders sounding the limb of the Martian atmosphere in solar occultation. It uses an echelle grating with a density of ∼4 lines/mm in a litrow configuration. An Acousto-Optical Tunable Filter (AOTF) is used to select different spectral windows (with a width that varies from 20 to 35 cm−1). Each window corresponds to the desired diffraction order to be used during the atmospheric scan. The spectral resolution of the SO channel is λ/∆λ=20,000.<br> After spectral calibration, the inversion problem is solved by fitting the data with a forward model and the vertical profiles are obtained.</p> <p>2. Methods for processing the data:<br> For the H2O inversion we use the Retrieval Control Program (RCP) developed at Institut für Meteoriologie und Klimaforschung (IMK), which incorporates the Karlsruhe Optimized and Precise Radiative transfer Algorithm (KOPRA) forward model. After providing an a priori, a first-guess and the measured spectra, RCP solves the inversion problem iteratively until the convergence of the solution. The IMK-IAA level-2 processor relies on multi-parameter non-linear least squares fitting of measured and modeled spectra (von Clarmann et al., 2003). Further information about RCP and the inversion problem can be found in (Jurado Navarro et al., 2016).<br> Retrievals of NOMAD diffraction orders 134 (3011-3035 cm−1) and 168 (3775-3805 cm−1) have been obtained and merged when collocated.</p>
Application Of Substantial And Sustained Force To Vertical Surfaces Using A Quadrotor
<p><strong>One of the challenges in the interaction between aerial manipulators (drones with manipulator arms) and the environment is to maintain stability under high interaction forces. The dynamics of the system change, and due to limitations to the drone-platform-- the drone not being to apply sideways forces and having limited yaw-torque-- stability is not naturally guaranteed. </strong></p> <p> </p> <p><strong>In this video we demonstrate a new control approach to overcome these limitations. The video shows a quadrotor drone with manipulator pushing on the environment. More precisely, the stability is achieved using a state-feedback approach to compensate for the roll and yaw errors. This approach uses the linearized contact dynamics under pseudo-static conditions. The key element is that non-zero roll-states are used to compensate for errors in the yaw-state. At a certain point the drone reaches pitch angles of over 45º. Given that the drone has a mass of 1.5 kg, this means that the drone is pushing with 15N(!) of force on the environment. The video demonstrates that the drone is easily able to maintain stability over a longer time period.</strong></p> <p> </p> <p><strong>These high interaction forces can be extremely useful when operating tools on the environment, as tasks such as grinding and brushing require sufficient contact pressure to function.</strong></p>
European CFP EGMS Vertical Land Motion
<p>This dataset contains the estimates of EGMS-derived vertical land motion in European Coastal Flood Plain.</p>
Data from: Vertical niche usage and trait associations in Gabonese amphibians
<p>Tropical forests are vertically complex, and offer unique niche opportunities in the form of resource, climate, and habitat-gradients from the forest floor to the canopy. Rainforest amphibians organize within this vertical space and the highest levels of vertical stratification occur in structurally complex and climatically stable tropical rainforests. Amphibians have diversified into numerous habitat and climatic niches, which has led to the development of a wide variety of morphological, behavioural, physiological, and reproductive traits. However, a lack of data regarding the vertical niche space used by amphibian species has prevented a nuanced analysis of traits and vertical height. We performed 74 ground-to-canopy surveys for amphibians at Baposso Village, Ngounie Province, Gabon, and describe the vertical stratification patterns of the assemblage in terms of richness, abundance, and species specific vertical niche usage. We analyse the relationships between amphibian traits with vertical height using linear mixed effects models, finding strong support that frogs with bigger toes in relation to their length access greater height in the canopy. We also see differences in the vertical heights of species according to their reproductive modes, highlighting the importance of reproductive mode diversity for the vertical stratification of amphibian assemblages.</p>
Data from: Coupled vertical double quantum dots at single-hole occupancy
<p>Figures and Data for the paper "<span>Coupled vertical double quantum dots at single-hole</span><br><span>occupancy</span>" by A. Ivlev and H. Tidjani et al.</p> <p>See Readme file for details on replotting the figures.</p>
B-SOSE chlorophyll vertical estructure
<p>Contains results from empirical orthogonal function analysis on chlorophyll model results from the Biogeochemical Southern Ocean State Estimate, from September 2019 to August 2020.</p>
Fig. 1 in Circulating dengue virus serotypes and vertical transmission in AEdES larvae during outbreak and inter-outbreak seasons in a high dengue risk area of Sri Lanka
Fig. 1 Map of Sri Lanka showing the location of Mawanella, the study area
Figure 1 in Vertical distribution and migration of planktonic polychaete larvae in Onagawa Bay, north-eastern Japan
Figure 1. Location of the sampling station in Onagawa Bay.
Ziphius cavirostris presence relative to vertical and temporal variability of oceanographic conditions in the southern california bight
<p>The oceanographic conditions of the Southern California Bight (SCB) dictate the distribution and abundance of prey resources and therefore the presence of mobile predators, such as goose-beaked whales (<em>Ziphius cavirostris</em>). Goose-beaked whales are deep-diving odontocetes that spend a majority of their time foraging at depth. Due to their cryptic behavior, little is known about how they respond to seasonal and interannual changes in their environment. This study utilizes passive acoustic data recorded from two sites within the SCB to explore the oceanographic conditions that goose-beaked whales appear to favor. Utilizing optimum multiparameter analysis, modeled temperature and salinity data are used to identify and quantify these source waters: Pacific Subarctic Upper Water (PSUW), Pacific Equatorial Water (PEW), and Eastern North Pacific Central Water (ENPCW). The interannual and seasonal variability in goose-beaked whale presence was related to the variability in El Niño Southern Oscillation events and the fraction and vertical distribution of the three source waters. Goose-beaked whale acoustic presence was highest during the winter and spring and decreased during the late summer and early fall. These seasonal increases occurred at times of increased fractions of PEW in the California Undercurrent and decreased fractions of ENPCW in surface waters. Interannual increases in goose-beaked whale presence occurred during El Niño events. These results establish a baseline understanding of the oceanographic characteristics that correlate with goose-beaked whale presence in the SCB. Furthering our knowledge of this elusive species is key to understanding how anthropogenic activities impact goose-beaked whales.</p>
Cloud Vertical Structure
<p>Active cloud observations from A-Train’s CloudSat and CALIPSO satellites offer opportunities to examine the vertical structure of hydrometeor layers. We use the 2B-CLDCLASS-LIDAR merged CloudSat-CALIPSO product to examine global aspects of hydrometeor vertical stratification. We group the data into major cloud vertical structure (CVS) classes based on our interpretation of how clouds in three standard atmospheric layers overlap and provide their global frequency of occurrence. </p> <p>Reference : Oreopoulos, L., N. Cho, and D. Lee (2017), New insights about cloud vertical structure from CloudSat and CALIPSO observations, J. Geophys. Res. Atmos., 122, 9280–9300, doi:10.1002/2017JD026629.</p> <p> </p>
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.