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1,032 results for “vertical”
GLAS/ICESat L2 Global Aerosol Vertical Structure Data (HDF5) V033
GLAH10 Level-2 aerosol vertical structure data contain the attenuation-corrected cloud and aerosol backscatter and extinction profiles at a 4 sec sampling rate for aerosols and a 1 sec rate for clouds. Each data granule has an associated browse product.
Distributed Anomaly Detection using 1-class SVM for Vertically Partitioned Data
There has been a tremendous increase in the volume of sensor data collected over the last decade for different monitoring tasks. For example, petabytes of earth science data are collected from modern satellites, in-situ sensors and different climate models. Similarly, huge amount of flight operational data is downloaded for different commercial airlines. These different types of datasets need to be analyzed for finding outliers. Information extraction from such rich data sources using advanced data mining methodologies is a challenging task not only due to the massive volume of data, but also because these datasets are physically stored at different geographical locations with only a subset of features available at any location. Moving these petabytes of data to a single location may waste a lot of bandwidth. To solve this problem, in this paper, we present a novel algorithm which can identify outliers in the entire data without moving all the data to a single location. The method we propose only centralizes a very small sample from the different data subsets at different locations. We analytically prove and experimentally verify that the algorithm offers high accuracy compared to complete centralization with only a fraction of the communication cost. We show that our algorithm is highly relevant to both earth sciences and aeronautics by describing applications in these domains. The performance of the algorithm is demonstrated on two large publicly available datasets: (1) the NASA MODIS satellite images and (2) a simulated aviation dataset generated by the ‘Commercial Modular Aero-Propulsion System Simulation’ (CMAPSS).
OMPS-N21 LP NRT Aerosol Extinction Vertical Profile swath multi-wavelength orbital 3slit
The OMPS-N21 Level 2 LP Aerosol Extinction Vertical Profile swath level 2 3slit (AER) product contains the retrieved aerosol extinction coefficients measured by the Ozone Mapping and Profiling Suite (OMPS) Limb-Profiler (LP) sensor on the NOAA-N21 satellite. The AER product measures stratospheric aerosol abundance and evolution at 6 wavelengths (510, 600, 675, 745, 869 and 997 nm) to complement the OMPS LP measurements of stratospheric and mesospheric profile ozone. This product replaces the previous single wavelength 675 nm (AER675) product. Each granule contains data from the daylight portion of each orbit. Spatial coverage is global (-90 to 90 degrees latitude), and there are about 14.5 orbits per day each measuring three limb profiles spaced approximately 250 km in the cross-track direction. The profiles are measured from the ground up to about 80 km with a vertical resolution of the retrieved profiles of approximately 1.8 km. The files are written using the Hierarchical Data Format Version 5 or HDF5. The /ProfileFields/RetrievedExtCoeff dataset is produced via a neural network trained on LP-L2-AER data for NRT processing.
GLAS/ICESat L2 Global Aerosol Vertical Structure Data (HDF5) V033
GLAH10 Level-2 aerosol vertical structure data contain the attenuation-corrected cloud and aerosol backscatter and extinction profiles at a 4 sec sampling rate for aerosols and a 1 sec rate for clouds. Each data granule has an associated browse product.
OMPS-NPP LP NRT Aerosol Extinction Vertical Profile swath multi-wavelength orbital 3slit
The OMPS-NPP L2 LP Aerosol Extinction Vertical Profile swath l2 3slit (AER) product contains the retrieved aerosol extinction coefficients measured by the Ozone Mapping and Profiling Suite (OMPS) Limb-Profiler (LP) sensor on the Suomi-NPP satellite. The AER product measures stratospheric aerosol abundance and evolution at 6 wavelengths (510, 600, 675, 745, 869 and 997 nm) to complement the OMPS LP measurements of stratospheric and mesospheric profile ozone. This product replaces the previous single wavelength 675 nm (AER675) product. Each granule contains data from the daylight portion of each orbit measured for a full day. Spatial coverage is global (-90 to 90 degrees latitude), and there are about 14.5 orbits per day each measuring three limb profiles spaced approximately 250 km in the cross-track direction. The profiles are measured from the ground up to about 80 km with a vertical resolution of the retrieved profiles of approximately 1.8 km. The files are written using the Hierarchical Data Format Version 5 or HDF5. The /ProfileFields/RetrievedExtCoeff dataset is produced via a neural network trained on LP-L2-AER data for NRT processing.
OMPS-N21 LP NRT L2 LP Ozone (O3) Vertical Profile swath daily Center slit V2.6
Version 2.6 is the current version of this data product, and supersedes all previous versions.The OMPS-N21 L2 LP Ozone (O3) Vertical Profile swath daily Center slit collection contains ozone measured by the Ozone Mapping and Profiling Suite (OMPS) Limb-Profiler (LP) sensor on the NOAA-N21 satellite in Near Real Time (NRT). The LP ozone product measures the vertical distribution of ozone in the stratosphere and lower mesosphere. The algorithm derives ozone profile values along with errors in the UV from 29.5 km and 52.5 km, and in the visible from cloud top to 37.5 km (when there are no clouds the lower limit is 12.5 km). See the README for full description of the product and updated retrieval algorithm.Each granule contains data from the daylight portion of each orbit measured for a full day. Spatial coverage is global (-90 to 90 degrees latitude), and there are about 14.5 orbits per day, the data from the center of the LP three slits are used to make a vertical profile. The profile is measured from the ground up to about 60 km with a vertical resolution of the retrieved profiles of approximately 1.8 km.The data are written using the Hierarchical Data Format Version 5 or HDF5.
Perceptual simulation of vertical object movements in short narratives: Picture verification data from children aged 5 to 11 and adults
<p>With this investigation, we tried to establish if children and adults (<em>N</em> = 190) perceptually simulate vertical object movements during listening to short narratives. For this purpose, we employed a picture verification task: Participants listened to a narrative that ended with something moving up or down. After this, an animated picture was presented with the animation proceeding from the top or bottom to the center of the screen. Participants had to determine as quickly and accurately as possible whether the object was part of the narrative. Each participant completed 24 experimental trials, half of them were compatible (the movement featured in the narrative matched that implied by the narrative) the other half incompatible (they did not match). Shorter response times to compatible compared with incompatible trials were seen as an indicator of perceptual simulation. We further included a between-participant variation of modality: Participants in the auditory conditon merely listened to the narratives. In the audiovisual condition, the narratives were illustrated with colored hand-drawings.</p>
INAGEOID2020: A Vertical Datum in Indonesia
<p>This repository contains the tabular data of InaGEOID2020 with 0.01 degree grid spacing. </p> <p>The data format is Longitude (deg) Latitude (deg) Undulation (m).</p> <p>Please refer to:</p> <p>Pahlevi, A., Syafarianty, A., Susilo, S. <em>et al.</em> Geoid Undulation Model as Vertical Reference in Indonesia. <em>Sci Data</em> <strong>11</strong>, 822 (2024). https://doi.org/10.1038/s41597-024-03646-w</p> <p>This research funded by DIPA BIG TAHUN ANGGARAN 2024 NOMOR: SP DIPA-083.01.1.017216/2024</p>
SI_Vertical Ozone Formation Mechanisms Resulting from Increased Oxidation on the Mountainside of Mt. Tai, China
Open the record for dataset details and reuse information.
The response of the bicycle rider's body to vertical, fore-and-aft and lateral perturbations
<p>In bicycles the rider’s mass is much larger than the vehicle’s mass. Hence, the rider influences the dynamic behaviour of the bicycle not only by means of voluntary control actions, but also by means of passive response of his/her body to bicycle oscillations. As a matter of fact, the rider’s body has inertial, stiffness and damping properties that are combined with the bicycle characteristics and affect the dynamic response of the whole system. More specific, the stabilization of dangerous oscillatory two-wheeler modes such as weave and wobble can be significantly influenced by the rider’s properties. For these reason, it is prerequisite to identify the passive response of the rider’s body to study the dynamic behaviour of the combined bicycle-rider system.</p> <p>To measure the rider response an instrumented bicycle mock up fitted with strain gauges at all interfaces has been developed. The frame was designed to recreate the geometry of a hybrid bicycle and has a reach to handlebars equal to 32 cm and a stack height to handlebars equal to 75cm. The bicycle mock-up was mounted on a top of a hexapod and was excited using coloured noise perturbations in all 6 degrees of freedom (DoF). The force response of the rider body was measured at all bicycle interfaces. Two IMU's were also used to measure the transmissibility of the upper rider trunk. One IMU was placed on the base of the platform and one at the rider's sternum</p> <p>The repository contains the following folders and files:</p> <ul> <li><strong>BSc thesis: </strong> contains the report of bachelor student Toni Prats.pdf.</li> <li><strong>CAD :</strong> contains the Solidworks drawings of the bicycle mock up.</li> <li><strong>Data_analysis apparent mass (APMS)</strong> and <strong>seat-to-sternum transmissibility (STST)</strong> folders includes the mat.scripts to obtain the transfer functions (TRFs).</li> </ul> <p><strong>Note:</strong> The data analysis method is described at passive rider identification.docx which is inside the Data_analysis apparent mass (APMS) folder. To plot the APMS transfer functions first run "interface_forces_24subs.m" (located in Force_Data folder) to obtain the required "force_signals_SI_t1_t2", afterwards copy paste the force_signals inside the analysis folder and run "TF_5_interfaces_24_subs.m" for the selected motion</p> <ul> <li><strong>Ethnical:</strong> contains the ethics and technical device inspection approval which is prerequisite from TU Delft for human factor research.</li> <li><strong>Force_data:</strong> contains the rider's force responses at all bicycle interfaces.</li> <li> <strong>IMU_data</strong> and <strong>IMU_data_Upper trunk</strong> includes the measured translational accelerations and angular velocities of the platform and rider's upper trunk.</li> <li><strong>Labview:</strong> has the software used for data login the strain-gauge signals.</li> <li><strong>Pictures: </strong>contains photos of the bicycle mock-up and subjects.</li> <li><strong>PVA_signals:</strong> contains mat.script to generate the applied perturbation signals.</li> <li><strong>Strain gauge calibration:</strong> includes the calibration and voltage sign and locations.xlsx which contain the voltage/force equations and force sign conventions for all bicycle interfaces respectively.</li> <li><strong>Subjective data:</strong> contains the NASA TLX data, mat.script.</li> </ul> <p><strong>Supplementary paper material:</strong></p> <ul> <li><strong>Assymetric.xlsx</strong> contains the symmetric and asymmetric elements of the dynamic force distribution.</li> <li><strong>Coorelation.jpg </strong>shows the correlation between the performance and effort scale of NASA "Raw-TLX".</li> <li><strong>Schematic 1.jpg</strong> represents the trunk-pelvis system of the rider as a horizontal moving inverted pendulum, see discussion section of paper. </li> </ul>
Chapter 4 - Bubble-induced mass transport at vertical hydrogen evolving electrodes
<p>This file contains the datasets relating to Chapter 4 of the PhD thesis "Mass transport at gas evolving Electrodes" by Jorrit Bleeker.</p> <p>This chapter has also been submitted as a publication titled:<br>"Bubble-induced mass transport at vertical hydrogen evolving electrodes"</p> <p>Authors: Jorrit Bleeker1, Florianne M. Wiegel1, Aron P. Kahn1, J.W. (Willem) Haverkort2, <br>Christiaan V. Schinkel1, Maxime Hoogland1, Lorenz M. Baumgartner1, Wolter F. Jager1, <br>J.R. (Ruud) van Ommen1, David A. Vermaas 1,*</p> <p>1Department of Chemical Engineering, Delft University of Technology, Van der Maasweg 9, Delft 2629 HZ, the Netherlands<br>2Process & Energy Department, Faculty of Mechanical Engineering, Delft University of Technology, Leeghwaterstraat 39, Delft 2628 CB, the Netherlands<br>Corresponding Author, email D.A.Vermaas@tudelft.nl </p> <p>Instruction</p> <p>1. Excel files for all graphs are included here</p> <p>2. For 2D plots, python scripts are included to recreate the images<br>Raw datafiles are included<br>We recommend running these scripts with Spyder</p> <p>3. Comsol models are included. For the uPIV model the raw data is not included.<br>This can be provided upon reasonable request</p> <p>4. Supplementary video, we recommend playing on VLC media player</p>
Vertical Profiles and Surface Observations at Canadian Airports
<p>The dataset contains co-located vertical profiles from <strong>ERA5</strong> model re-analysis, surface observations at Canadian airports archived from climate.weather.gc.ca, including weather types, and surface variables from <strong>ERA5-Land</strong> model re-analysis. This dataset was prepared for the purpose of training and testing machine learning algorithms.</p>
Vertical Stability Training Effects on the Eye-Hand Coordination of Female Volleyball Players
ClinicalTrials.gov study NCT01197430. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Ground Vertical Velocities for the Western Gulf of Corinth from InSAR and GPS
<p>Data group : Ground Vertical Velocities for the Western Gulf of Corinth from InSAR and GPS<br> Data identifier : Best constrained 951 vertical PS-SBAS velocities for pixels of 200m<br> Coordinate Reference System: Geographic WGS84, EPSG:4326</p>
Ground-based vertical observations of NO2 and HCHO in Beijing and Wangdu
<p>NO2 和 HCHO 垂直剖面支持题为“不同高度的臭氧形成敏感性敏感性:寻求灵敏度阈值测定的最佳方法”的论文。</p>
GG_NO2_V1_OMI: long-term global gapless daily NO2 vertical column density from OMI during 2005-2022
<p>To be updated.</p>
CALIPSO Lidar L2 Vertical Feature Mask Data V3-01
Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) was launched on April 28, 2006 to study the impact of clouds and aerosols on the Earth’s radiation budget and climate. It flies in formation with five other satellites in the international “A-Train” (PDF) constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments, the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency, CNES. These data consist 5 km aerosol layer data.
CALIPSO Lidar L2 Vertical Feature Mask Data V3-30
Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) was launched on April 28, 2006 to study the impact of clouds and aerosols on the Earth’s radiation budget and climate. It flies in formation with five other satellites in the international “A-Train” (PDF) constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments, the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency, CNES. These data consist 5 km aerosol layer data.
CALIPSO Lidar L2 Vertical Feature Mask Data V2-01
Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) was launched on April 28, 2006 to study the impact of clouds and aerosols on the Earth’s radiation budget and climate. It flies in formation with five other satellites in the international “A-Train” (PDF) constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments, the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency, CNES. These data consist 5 km aerosol layer data.
CALIPSO Lidar L2 Vertical Feature Mask Data V3-02
Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) was launched on April 28, 2006 to study the impact of clouds and aerosols on the Earth’s radiation budget and climate. It flies in formation with five other satellites in the international “A-Train” (PDF) constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments, the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency, CNES. These data consist 5 km aerosol layer data.
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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.