Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,032
datasets available to search
ShareScore release 0.9.0
Dataset results
1,032 results for “vertical”
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 one second. The domain size is 12.8×12.8×4 km3, with a resolution of 100 m and 40 m in the horizontal and vertical orientation, respectively. The outputs during 8~40 hour were retained every 10 minutes. Two parameters (LWC and vertical velocity) were then extracted by using MATLAB to create the following dataset. The "q" and "w" in the filename represent LWC and vertical velocity, respectively, and the "a"~"e" in the filename represents the corresponding minute in each hour (e.g. "q24a" means LWC value at 24h10m). The unit of "q" and "w" are "kg/kg" and "m/s' respectively. </p>
Total column moisture and vertical velocity for two cases of extreme precipitation
<p>Total column water (filled) and vertical velocity at 500 hPa (red—descending motions, blue—ascending) for 1st case (8-9 July 1994) and 2nd case (6-7 July 2001)<strong>.</strong></p>
Research Data for "Vertical Leaching of Paleo-Saltwater in a Coastal Aquifer–Aquitard System of the Pearl River Delta"
<p>Supplementary material includes one supplemental text on analytical derivation, two supplemental figures, and the measured data of radium and radon.</p>
FIGURE 3. Rohdea urotepala Hand.-Mazz. A. Habit. B. Flower, vertical view. C. Inflorescence. D. Flower, longitudinal section. E. Flower, showing the interior. F in Rohdea rotiformis (Asparagaceae), a new species from Northern Sichuan, China
FIGURE 3. Rohdea urotepala Hand.-Mazz. A. Habit. B. Flower, vertical view. C. Inflorescence. D. Flower, longitudinal section. E. Flower, showing the interior. F. Perianth tube in transection. G. Ovary, in transection. H. One confluent flower with 10 stamens, vertical view. I. The ovary of one confluent flower, in transection. J. The back of a flower. K. One confluent flower, showing the interior. Photos by Hui Zhe Feng.
FIGURE 4. Rohdea rotiformis. A & B. Habit. C & D. Inflorescence. E. Young flower. F. Old flower and ovary growing. G. Flower with one bract, vertical view. H. Flower with one bract, lateral view. I. Flower, showing the interior. J. Older flower, vertical view. A, D & F in Rohdea rotiformis (Asparagaceae), a new species from Northern Sichuan, China
FIGURE 4. Rohdea rotiformis. A & B. Habit. C & D. Inflorescence. E. Young flower. F. Old flower and ovary growing. G. Flower with one bract, vertical view. H. Flower with one bract, lateral view. I. Flower, showing the interior. J. Older flower, vertical view. A, D & F by Xin Xin Zhu, B, C & E by Ming Liu, G, H, I & J by Hui Zhe Feng.
Data of Numerical simulation data and experimental data for vertical mixing schemes
<p>This dataset contains the Numerical simulation data and experimental data in paper_data file. The new scheme is saved in the 'mypackage' folder in paper_code file.</p>
Data for 'Evaluating WRF-GC v2.0 predictions of boundary layer and vertical ozone profiles during the 2021 TRACER-AQ campaign in Houston, Texas'
<p>This repository provides observation datasets, model configuration files, model boundary conditions, model input files, and scripts used in the manuscript titled 'Evaluating WRF-GC v2.0 predictions of boundary layer and vertical ozone profiles during the 2021 TRACER-AQ campaign in Houston, Texas'.</p>
Vertical hydrography profiles from CTD rosette downcasts during PolarFront cruise 2022-05
<p>Hydrography data from CTD (SBE911plus, Seabird Inc.) profiles. Rosette equipped with the following sensors:</p> <ul> <li>Conductivity</li> <li>Temperature</li> <li>Pressure</li> <li>Fluorometer</li> <li>Turbidity</li> <li>PAR</li> <li>Oxygen</li> </ul> <p>Update December 2024</p> <p>The salinity and temperature sensors were calibrated against another CTD from a moored instrument by Ragnheid Skogseth at UNIS, the University Centre in Svalbard. A relatively large drift in temperature was observed. To convert temperature (T) and salinity (S) to calibrated values apply the following equations to e.g. data from stnrxxxx_bin.cnv</p> <p>T_new = T_old + 0.12<br>S_new = 1.0115 * S_old – 0.5343</p> <p>The following is quoted verbatim from chapter 1 in the cruise report (Basedow, 2022):</p> <blockquote> <p>Hydrographic data were collected by a variety of sensors mounted on vertical profiling platforms, towed platforms and autonomous gliders. Combined, these platforms provided detailed information at stations, high-resolution measurements across the polar front, and longer-term measurements by the gliders. During the cruise, hydrographic measurements were taken at stations using the main rosette equipped with 12 5-L Niskin bottles, CTD-F, PAR and other sensors (Table 1.1) and using a smaller rosette frame equipped with CTD-F, LOPC, LISST and WBAT (Table 1.2, Fig. 1.1). Both platforms were deployed vertically until 5-10 m above the bottom for the main platform and down to 300 m for the platform with the LOPC, this rosette sampling three profiles at selected stations.</p> <p>In total 14 vertical profiles were sampled by the rosette with the water bottles (Table 1.1) at our 6 main stations (PF1 to PF6). Water samples for biological analyses were taken from selected depths and a bottom water samples was collected at each station for calibration of the conductivity sensor ashore. Water samples for chlorophyll a will be used to calibrate the fluorescence sensor. CTD data from this rosette were processed using the SBEDataProcessing-Win32 software. Only the values from the CTD downcast were used to avoid turbulence caused by the rosette on the upcast. The data were converted<br>to physical units, filtered for outliers and bin-averaged over 1 m bins. </p> </blockquote> <p><strong>References</strong></p> <p>Sünnje Basedow, Nicolas Gosset, Torkel Granaas, Eva Leu (2022). Hydrography. In: Malin Daase (ed.) (2022). PolarFront May 2022 Cruise Report. Zenodo. https://doi.org/10.5281/zenodo.7128746</p>
Data for the publication: Ice supersaturation variability in cirrus clouds: Role of vertical wind speeds and deposition coefficients
<p>The files contain the datasets shown in the publication "Ice supersaturation variability in cirrus clouds: Role of vertical wind speeds and deposition coefficients" to appear in J. Geophys. Res. Atmos. (revised manuscript submitted). The files are xmgrace plot files containing the research data (ASCII) shown in all figures in the main text and Appendix A.</p>
Vertical profiles of aerosol, NO2, H2O and HONO in Hefei and its surrounding agricultural fields
<p>Average aerosol vertical profiles exhibited a Gaussian shape above 100 m with maximum values of 0.67 km<sup>-1</sup> and 0.55 km<sup>-1</sup> at 300-400 m layer at AHU and CF, respectively. The distinct layered structure mainly attributed to regional transport. Average H<sub>2</sub>O and NO<sub>2</sub> vertical profiles all showed a Gaussian shape and an exponential shape at AHU and CF, respectively. Moreover, the diurnal evolution of H<sub>2</sub>O profiles performed one peak and bi-peak patterns at AHU and CF, respectively, whereas NO<sub>2</sub> at two stations all exhibited bi-peak patterns attributed to vehicle emissions. Average HONO vertical profiles showed an exponential shape and a Gaussian shape at AHU and CF, respectively. Higher HONO (> 0.05 ppb) above 1.0 km at 14:00-16:00 was observed at CF.</p>
Dataset and code for the manuscript 'Parameterizing Vertical Mixing Coefficients in the Ocean Surface Boundary Layer using Neural Networks'
<p>This repository contains the code and data used in the manuscript 'Parameterizing Vertical Mixing Coefficients in the Ocean Surface Boundary Layer using Neural Networks'. <br> Manuscript authors: Dr. Aakash Sane, Dr. Brandon G. Reichl, Dr. Alistair Adcroft, Dr. Laure Zanna<br> Manuscript preprint link: https://doi.org/10.48550/arXiv.2306.09045</p>
Seasonal and Vertical Tidal Variability in the Southeastern Mediterranean Sea
<p>The datasets and code base of the paper: Seasonal and Vertical Tidal Variability in the Southeastern Mediterranean Sea</p> <p> </p> <p>Dataset and code used to analyze long-term measurements of velocity and pressure that enable seasonal and depth analysis of tides in the Eastern Levantine Basin as well as velocity from drifters and moored datasets were compared and used to assess different time criteria for tidal and spectral analysis.</p>
Machine Learning Estimation of Maximum Vertical Velocity from Radar (Test Data)
<p>Inside this archive is the testing dataset for the paper titled: <i>Machine Learning Estimation of Maximum Vertical Velocity from Radar, </i>currently under review in AMS AIES. The files are compressed using tar.gz, so know that decompressed this data is about 20 GB in size. The training and validation sets are much larger. If you need those, please reach out to me and we will work on getting you the data. </p><p>Please see the github repo for how to use this data: https://github.com/ai2es/hradar2updraft </p>
Data for: Linking vertical movements of large pelagic predators with distribution patterns of biomass in the open ocean
<p>Many predator species make regular excursions from near-surface waters to the twilight (200-1,000 m) and midnight (1,000-3,000 m) zones of the deep pelagic ocean. While the occurrence of significant vertical movements into the deep ocean has evolved independently across taxonomic groups, the functional role(s) and ecological significance of these movements remain poorly understood. Here, we integrate results from satellite tagging efforts with model-predictions of deep prey layers in the North Atlantic Ocean to determine if prey distributions are correlated with vertical habitat use across 12 species of predators. Using 3D movement data for 344 individuals that traversed nearly 1.5 million km of pelagic ocean in >42,000 days, we found that nearly every tagged predator frequented the twilight zone and many made regular trips to the midnight zone. Using a predictive model, we found clear alignment of predator depth use with the expected location of deep pelagic prey for at least half of the predator species. We compared high-resolution predator data with shipboard acoustics and selected representative matches that highlight the opportunities and challenges in the analysis and synthesis of these data. While not all observed behavior was consistent with estimated prey availability at depth, our results suggest that deep pelagic biomass likely has high ecological value for a suite of commercially important predators in the open ocean. Careful consideration of the disruption to ecosystem services provided by pelagic food webs is needed before the potential costs and benefits of proceeding with extractive activities in the deep ocean can be evaluated.</p>
Egg-shaped pot with small opening & vertical rim
It concerns a type 4, egg-shaped pot in the typology of the El Argar culture of the Siret brothers, excavated in the southeast of Spain. These hand shaped vessels are associated with funerary contexts and are regularly found together with type 8 beakers. This type of ceramic is characterized by a dark, polished, metallic surface. In this case the pot equipped with a single handle. (Argaric culture, 2300 BC - 1600 BC). Inv n.: PG.41.1.052 Find this object in the museum's online catalog [Carmentis](https://www.carmentis.be:443/eMP/eMuseumPlus?service=ExternalInterface&module=collection&objectId=133835&viewType=detailView) Source: Objaverse 1.0 / Sketchfab
Orthopedic Manual Therapy vs Foam Roller on Flexibility, Joint Range of Motion, rm and Vertical Jump
ClinicalTrials.gov study NCT05347303. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Assessment of Vertical Pattern in Correlation With Third Molar Inclusion : A 3D CBCT Analysis
ClinicalTrials.gov study NCT06320665. IPD Sharing: UNDECIDED. Countries: 1. Publications: 17.
Hair Counts From Vertical and Horizontal Sections of Scalp Biopsy SPecimens in Thai Population With Alopecia
ClinicalTrials.gov study NCT01651689. IPD Sharing: Not stated. Countries: 1. Publications: 7.
Comparison of Kinesio-Taping and Rigid-Taping on Vertical Jump in Individuals With Pes Planus
ClinicalTrials.gov study NCT06022718. IPD Sharing: NO. Countries: 1. Publications: 8.
Tabata vs Plyometric Training on Range of Motion, Agility and Vertical Jump in Taekwondo Players
ClinicalTrials.gov study NCT06108986. IPD Sharing: NO. Countries: 1. Publications: 6.
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.