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1,032 results for “vertical”
FIGURE 1 in The amphibian community at Yanayacu Biological Station, Ecuador, with a comparison of vertical microhabitat use among Pristimantis species and the description of a new species of the Pristimantis myersi group
FIGURE 1. (A) Head, (B) hand, and (C) foot of Pristimantis bicantus, holotype, adult female, QCAZ 19024.
FIGURE 3 in The amphibian community at Yanayacu Biological Station, Ecuador, with a comparison of vertical microhabitat use among Pristimantis species and the description of a new species of the Pristimantis myersi group
FIGURE 3. Map of Ecuador showing the type locality of Pristimantis bicantus (Yanayacu Biological Station, 0°36' S, 77°53' W, 2100–2300 m).
Global Observation-based LInear Vorticity Vertical Velocities (OLIV3) over isopycnal levels
<p>Observation-based Linear Vorticity Vertical Velocities (OLIV3) estimates from observation-based geostrophic velocities within the global themocline during the 1993-2019 period at annual frequency.</p> <p>The beta-plane geostrophic OLIV3 fields are computed following the Indefinite depth-integrated geostrophic linear vorticity balance methodology described in <em>Cortés-Morales and Lazar, 2024, </em><em>Diego Cortés Morales, 2023 [thesis] and Cortés-Morales et al., (submitted) </em>applied to the ARMOR3D [<em>Mulet et al., 2013; https://data.marine.copernicus.eu/product/MULTIOBS_GLO_PHY_TSUV_3D_MYNRT_015_012</em>] geostrophic meridional velocities. The boundary condition used is the Ekman pumping vertical velocities computed from ERA5 wind stress [DOI: 10.24381/cds.f17050d7]. The velocity field is quality-flagged based on the relative error and interannual correlation coefficient between w_g and w_tot in an OGCM perfect model test (<em>Cortés-Morales et al., (submitted)</em>).</p> <p>----------------------------------------------------------------------------------------</p> <p>Geographical coverage: Global Ocean</p> <p>Grid and horizontal spatial resolution: Evenly spaced 0.25º grid</p> <p>Vertical levels: 71 levels from sigma level 21 to 28.17 kg/m^3.</p> <p>Temporal resolution: Annual (1993-2019)</p> <p>-----------------------------------------------------------------------------------------</p> <p>Variables:</p> <p>lon (2D): Longitude</p> <p>lat (2D): Latitude</p> <p>isolev (1D): Isopycnal level</p> <p>time (1D): Year</p> <p>w_oliv3(4D): Beta-plane geostrophic vertical velocities</p> <p>h_depth (4D): Depth isopycnal surfaces</p> <p>flag_time_var (3D): Flag based on correlation coeffcient between geostrophic and total vertical velocties from OGCM</p> <p>flag_time_mean (3D): flag based on relative error between geostrophic and total vertical velocties from OGCM</p>
The vertical profile of the dynamic TOI from double to single, TIEGCM
<p>The simulation from TIEGCM to explore the roles of IMF By and Bz on the dynamic evolution of TOI from double to single at 300 and 500 km.</p>
A Grid Model for Vertical Correction of Precipitable Water Vapor over the Chinese Mainland and Surrounding Areas Using Random Forest
<p>Code to reproduce the work in the manuscript ' A Grid Model for Vertical Correction of Precipitable Water Vapor over the Chinese Mainland and Surrounding Areas Using Random Forest', Junyu Li, Yuxin Wang, Lilong Liu, Yibin Yao, Liangke Huang, Feijuan Li, submitted to GMD.</p>
Dataset of "Vertical pathway inhibition of receptor tyrosine kinases and BAD with synergistic efficacy in triple negative breast cancer"
Open the record for dataset details and reuse information.
Rates of Vertical Land Motion (VLM) on Tutuila Island, American Samoa (December 3, 2015 to August 16, 2022)
<p>[Version 4] Latest version, updated to fix errors that were found in the vlm.mat data file.</p><p>VLM rates across Tutuila Island from December 5, 2015 to August 16, 2022, derived using a redundant multi-primary variant of the PS-InSAR technique. Dataset associated with the published version of the publication "Mapping Vertical Land Motion in Challenging Terrain: Six-Year Trends on Tutuila Island, American Samoa, With PS-InSAR, GPS, Tide Gauge, and Satellite Altimetry Data" by S. A. Huang, J. M. Sauber, and R. Ray. Available at <a href="https://doi.org/10.1029/2022GL101363">https://doi.org/10.1029/2022GL101363</a>.</p><p>ampl.mat: Amplitude backscatter averaged from all scenes, multilooked for speckle reduction and resampled to the dataset size. Normalized to 1.</p><p>latvals.mat: Latitude vector associated with the dataset.</p><p>lonvals.mat: Longitude vector associated with the dataset.</p><p>plot_ps_data.m: Matlab script to visualize the data included in all the *.mat files. Requires Computer Vision Toolbox.</p><p>vlm.mat: Computed VLM rates across Tutuila Island [mm/yr]. All non-PS have an "NaN" value.</p><p>vlm_se.mat: Standard error of VLM across Tutuila Island [mm/yr]. All non-PS have an "NaN" value.</p>
Internal tides vertical structure and steric sea surface height signature south of New Caledonia revealed by glider observations
<p>Data to reproduce the figures of the preprint <em>Internal tides vertical structure and steric sea surface height signature south of New Caledonia revealed by glider observations</em>, submitted to <em>Ocean Science</em></p>
UKV Lee Waves 700 hPa vertical velocities and hand labels
<p>Data to train models to segment trapped lee waves from vertical velocity NWP data.</p> <p>Full details in QJRMS paper <a href="https://doi.org/10.1002/QJ.4592">https://doi.org/10.1002/QJ.4592</a>.</p> <p>Met Office UKV data available under the <a href="https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/">Open Government Licence</a>.</p>
Relevo de Santa Catarina - Exagero vertical 20x
Teste de mapa de relevo usando base coroplética padrão IBGE Source: Objaverse 1.0 / Sketchfab
Global Marine Gravity Gradient Tensor Inverted from Altimetry-derived Deflections of the Vertical: CUGB2023GRAD
<p>CUGB2023GRAD is a dataset consisting of all six components of Earth's gravity gradient tensor over the oceans. The gravity gradient tensor is inverted from 1 arc-minute grid of altimetry-derived north-south and east-west components of deflection of the vertical. CUGB2023GRAD has a longitudinal extent of 180° W ~180° E and a latitudinal extent of 80° S ~ 80° N.</p> <p>This version used a merge of deflections of the vertical (north_32.1.nc and east_32.1.nc) developed by Scripps Institution of Oceanography, and DTU21GRA-derived deflections of the vertical. DTU21GRA is a highly accurate gravity anomaly model developed by Technical University of Denmark. Both sets of deflections of the vertical were developed from multiple satellite altimetry observations which include: Jason-1, Jason-2, Cryosat-2, SARAL/AltiKa, and Sentinel-3A/B.</p>
Liquid water content and vertical velocity from RICO-based LES simulations
<p>The RICO-based simulations by implementing the LES module of WRF model 4.0 generate the raw data. The simulation continued for 40 hours with a time step of 0.5 second. The domain size is 12.8×12.8×4 km<sup>3</sup>, with a resolution of 50 m and 40 m in the horizontal and vertical orientation, respectively. The outputs during 8~40 hour were retained every 20 minutes. Two parameters (LWC and vertical velocity) were then extracted by using MATLAB to create the following dataset. Additionally, LWC at 1 min before each moment was also uploaded for tracking. The "q" and "w" in the filename represent LWC and vertical velocity, respectively, and the number in the filename represents the corresponding hour and minute (e.g. "q24_20" means LWC value at 24h20m). The unit of "q" and "w" are "kg/kg" and "m/s' respectively.</p>
Figure 5 in Vertical distribution of liverwort communities and their relationship with environmental factors in a karst sinkhole in south-western China
Figure 5. The canonical correspondence analysis between liverwort community distribution and environmental factors: humidity, temperature and light levels.
Figure 3 in Vertical distribution of liverwort communities and their relationship with environmental factors in a karst sinkhole in south-western China
Figure 3. Variation in abundance of species, genera and families recorded in liverwort communities at different depths.
Figure 2 in Vertical distribution of liverwort communities and their relationship with environmental factors in a karst sinkhole in south-western China
Figure 2. The variation in diversity and the number of species, genera and families recorded in liverwort communities at different depths.
Data for "Quantifying nocturnal thrush migration using sensor data fusion between acoustics and vertical-looking radar"
<p>This repository contains the data used for the analyses conducted and described in the article "Quantifying nocturnal thrush migration using sensor data fusion between acoustics and vertical-looking radar", as well as the Random Forest classifier built from such data. </p> <p>Files:</p> <p><em>2021_AcousticDataset.xlsx:</em> excel dataset containing the daily number of calls for each of the three thrush species considered recorded in Helsinki (Finland) during the study period (year 2021). The dates refer to UTC time.</p> <p><em>2022_ AcousticDataset.xlsx: </em>excel dataset containing the daily number of calls for each of the three thrush species considered recorded in Helsinki (Finland) during the study period (year 2022) . The dates refer to UTC time.</p> <p><em>RandomForestClassifier.Rdata: </em>R object containing the Random Forest classifier built using the eight most important echo features. The purpose of the classifier is to categorize echoes into 'thrush' and 'non-thrush' classes. </p> <p><em>2021_RadarDataset.rds: </em>R object containing the radar data collected with AVLR BirdScan MR1 in Helsinki (Finland) during the study period (year 2021).</p> <p><em>2022_RadarDataset.rds:</em> R object containing the radar data collected with AVLR BirdScan MR1 in Helsinki (Finland) during the study period (year 2022).</p> <p><em>license.txt: </em>the license applying to the data.</p>
Supporting data for "Shallow convective heating in weak temperature gradient balance explains mesoscale vertical motions in the trades" (previously for ch. 5 of "Mesoscale Cloud Patterns in the Trade-Wind Boundary Layer")
<p>This contains both the data and scripts required to produce the figures in the preprint "Shallow convective heating in weak temperature gradient balance explains mesoscale vertical motions in the trades". The scripts labeled 1-5 produce the main figures; the other scripts produce supporting data or figures.</p> <p>Earlier versions of this dataset contained the scripts and data supporting Ch. 5 of the PhD thesis "Mesoscale Cloud Patterns in the Trade-Wind Boundary Layer". The scripts labeled 1-5 produce the main figures; the other scripts produce either the underlying data, or supporting figures (prefix S). </p>
Multiscale large-eddy simulations of a low-level jet interacting with a wind farm and terrain (vertical slices of potential temperature)
<p>Multiscale large-eddy simulations of a low-level jet interacting with a wind farm and terrain (vertical slices of potential temperature) using the WRF-LES-GAD approach. Supplementary material part of the paper "Influence of simple terrain on the spatial variability of a low-level jet and wind farm performance in the AWAKEN field campaign", submitted to the Wind Energy Science journal.</p>
Multiscale large-eddy simulations of a low-level jet interacting with a wind farm and terrain (vertical slices of wind speed)
<p>Multiscale large-eddy simulations of a low-level jet interacting with a wind farm and terrain (vertical slices of wind speed) using the WRF-LES-GAD approach. Supplementary material part of the paper "Influence of simple terrain on the spatial variability of a low-level jet and wind farm performance in the AWAKEN field campaign", submitted to the Wind Energy Science journal.</p>
Typical Winter TGF lightning: vertical negative leader progression features and charge structures
<p>This dataset contains the detailed parameters of 14 events in the “Winter TGF lightning characteristics and charge structures”. Positioning results from DALMA.</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.