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Dataset results
1,255 results for “High-resolution”
Spatially and temporally probing distinctive glycerophospholipid alterations in Alzheimer's disease mouse brain via high-resolution ion mobility-enabled sn-position resolved lipidomics
<p><span>High-resolution IM-MS-based four-dimensional lipidomics strategy for glycerophospholipid analysis.</span></p>
Data for clear-air turbulence calculated from high-resolution radiosonde observations at cruising altitudes in China during the period from 2010 to 2022.
<p>The file is the turbulence dissipation rate(ε) data, calculated using high-resolution radiosonde measurements at cruising altitudes in China, during the period from 2010 to 2022. More description can be seen in the read me.txt.</p>
High-Resolution RGB Images and Corresponding Masks of Agricultural Fields
<p>This dataset consists of <strong>325 high-resolution RGB images</strong> and their corresponding <strong>masks</strong>. The images were captured using a DJI AIR 2S drone from four distinct types of agricultural fields: <strong>orchards, olive groves, wheat (green), and vineyards</strong>.</p> <p>All images are provided in <strong>TIFF format</strong>, representing the raw outputs directly from the drone without any preprocessing or compression, thus preserving full sensor quality. The masks are also stored in <strong>TIFF format</strong>.</p> <p>The masks were generated using <strong>orthomosaic processing software</strong>.</p> <p>This dataset is intended for <strong>semantic segmentation tasks</strong> in the field of precision agriculture, supporting the development of models for <strong>automatic vegetation detection</strong> and <strong>crop analysis</strong>.</p>
High-resolution seismic record of the Quaternary palaeoenvironments along a Dalmatian-type coast (Lošinj Channel, Adriatic Sea)
<p>Raw seismic files used in the manuscript High-resolution seismic record of the Quaternary palaeoenvironments along a Dalmatian-type coast (Lošinj Channel, Adriatic Sea) published in journal Marine Geology.</p>
A scale-aware parameterization for estimating subgrid variability of downward solar radiation using high-resolution Digital Elevation Model data
<p>This is a statement on the shared data of the manuscript 'A scale-aware parameterization for estimating subgrid variability of downward solar radiation using high-resolution Digital Elevation Model data'</p> <p>Folder Codes includes scripts for plotting all figures of the manuscript.</p> <p>Folder grids includes all the data that are required by scripts in plotting.</p> <p><br> Contact information:<br> Siwei He<br> NOAA/ERSL/GSD<br> 325 Broadway<br> Boulder, CO 80305<br> hesiweide@gmail.com <br> </p>
High-resolution global building height map (GBHM, 10 m) developed based on Sentinel imagery
<p>Due to the limited number of files on the Zenote platform, the tif files were grouped into the zip packages by longitude. In terms of file and zip package naming, lon represents longitude, lat represents latitude, A represents the east or north latitude, B represents west or south latitude, and the numbers after A and B represent the specific longitude or latitude in the lower left corner of the file.</p> <p>To compress the size of the data, the data is scaled by a factor of 100. Therefore, the pixel values need to be divided by 100 when used, i.e., a pixel value of 1500 represents 15 m.</p>
High-resolution lithospheric shear velocity structure of the Suqian segment of the Tanlu fault zone from ambient noise tomography
<p>Our dataset includes S-wave velocity tomography model of of the Suqian segment of the Tanlu fault zone.</p>
LMHLD: A Large-scale Multi-source High-resolution Landslide Dataset for Landslide Detection based on Deep Learning
<p>LMHLD collects remote sensing images of five satellite sensors in seven areas of the world: Wenchuan, China (2008); Rio de Janeiro, Brazil (2011); Gorkha, Nepal (2015); Jiuzhaigou, China (2015); Taiwan, China (2018); Hokkaido, Japan (2018); Emilia-Romagna, Italy (2023), a total of 25,365 patches by setting different patch sizes according to different landslide scale.</p> <p>Specifically, patch sizes vary across different areas: 32 for image segmentation in Emilia-Romagna, Italy and Gorkha, Nepal; 64 in Rio de Janeiro, Brazil; 128 in Jiuzhaigou, China and Hokkaido, Japan; and 224 in Wenchuan and Taiwan, China. All the above patches constitute LMHLD, a large-scale multi-source high-resolution heterogeneous landslide dataset.</p> <p><strong><em>LMHLD.rar</em></strong> includes all the Train, Validation, Test data used for the experiments.</p> <p>If you use our data, please cite our work published in <strong><em>IEEE Transactions on Geoscience and Remote Sensing</em></strong>. Or if you have any other questions about LMHLD, please contact us: <strong>guan.ting.liu2000@gmail.com</strong>.</p> <p><strong>Paper:</strong> Liu G, Wang Y, Chen X, et al. LMHLD: A Large-scale Multi-Source High-Resolution Landslide Dataset for Landslide Detection based on Deep Learning[J]. IEEE Transactions on Geoscience and Remote Sensing, 2025. (<strong>DOI: </strong><a href="https://doi.org/10.1109/TGRS.2025.3619062" target="_blank" rel="noopener">10.1109/TGRS.2025.3619062</a>)</p>
High-resolution Gridded Emission Database for India
<p>The gridded high-resolution (0.1<sup>°</sup>×0.1<sup>°</sup>)<strong> </strong>surface chemistry data for the Indian subcontinent includes the emission of Particulate Matter (PM<sub>2.5</sub> and PM<sub>10</sub>) from a broad spectrum of 17 major and unattended Anthropogenic sources for the most recent base year 2020. Units are in tons/grid/yr. The files are given in .shp file format suitable for GIS software.</p>
Dataset and Software for High-resolution mantle flow models reveal importance of plate boundary geometry and slab pull forces on generating tectonic plate motions
<p>This repository contains the plugin and dataset used to setup models in the manuscript: "High-resolution mantle flow models reveal importance of plate boundary geometry and slab pull forces on generating tectonic plate motions". It also includes the corresponding versions of the geodynamics software ASPECT and Worldbuilder which were used to develop the models in the paper.</p> <p>The material model plugin used in our models is in the "plugins" folder. The "models" folder contains the reference input parameter file described in the paper. All other model configurations shown in the paper can be obtained by modifying this parameter file. The input files used to set up the models are in the respective folder. Additionally, the Jupyter notebook used to compute residuals of our models is provided in the "scripts" folder.</p>
Heart structure as visualized with high-resolution normal multiscan mode CECT in 3D (left) and on 2D orthoslice (right)
<p>Ao = aorta, RV = right ventricle, LV = left ventricle, RA = right atrium, LA = left atrium, RAA = right atrial appendage, LAA = left atrial appendage, PV = pulmonary valve, TV = tricuspid valve, AV = aortic valve, MV = mitral valve, PM = papillary muscle.</p>
Heart valve characterization on the high-resolution normal multiscan CECT dataset
<p>Back and forth longitudinal section through the heart showing the identification of the two leaflets in the mitral valve and their thickness distribution. Back and forth transverse section through the heart showing the identification of the three cusps in the aortic valves and their thickness distribution.</p>
Validation of High-resolution PET/CT for the Pretherapeutic Lymphnode Staging of Head/Neck Cancer
ClinicalTrials.gov study NCT02372890. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Peroperative Assessment of Tumour Resection Margins Using High-resolution 18F-FDG-PET/CT in Pancreatic Adenocarcinoma
ClinicalTrials.gov study NCT05023291. IPD Sharing: NO. Countries: 1. Publications: 0.
MARIMPACH : Contribution of High-resolution Manometry With Impedancemetry for the Evaluation of Esophageal Clearance in Achalasia
ClinicalTrials.gov study NCT06230536. IPD Sharing: NO. Countries: 1. Publications: 0.
High-resolution Esophageal Manometry
ClinicalTrials.gov study NCT03415893. IPD Sharing: NO. Countries: 1. Publications: 0.
High-Resolution Anoscopy Perceived Discomfort Study
ClinicalTrials.gov study NCT04083053. IPD Sharing: NO. Countries: 1. Publications: 0.
Resuvastatin Treatment for Symptomatic Middle Cerebral Artery Stenosis Based on High-resolution Magnetic Resonance Imaging
ClinicalTrials.gov study NCT02041117. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A High-Resolution Magnetic Resonance Imaging Study to Evaluate the Effect of Rosuvastatin on Carotid Atherosclerotic Plaques
ClinicalTrials.gov study NCT02305862. IPD Sharing: Not stated. Countries: 1. Publications: 0.
High-resolution Imaging of Corneal Lesions With Optical Coherence Tomography (OCT) - A Pilot Study
ClinicalTrials.gov study NCT01753583. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.