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1,255 results for “High-resolution”
Dataset of AI4ER MRes titled "Improving Urban Tree Management Using High-Resolution Satellite Data"
<p>This repository contains the data used in the Master's thesis titled "Improving Urban Tree Management Using High-Resolution Satellite Data" by Andrés C. Zúñiga-González as part of the AI4ER MRes 1st year project at the University of Cambridge.</p> <p>The folders are split into large and small training and testing datasets. These folders contain the tiles (in png and tif formats) used in the models. In addition, it includes the crowns in ESRI Shapefile format for the training and testing datasets. Finally, it contains the best model from the project (named urban_trees_Cambridge_20230630.pth).</p>
High-resolution global map of closed-canopy coconut palm
<p>The file ‘GlobalCoconutLayer_2020_v1-2.zip’ contains 878 raster tiles of 100x100 km in geotiff format. The raster files are the result of a convolutional neural network that classified Sentinel-1 and Sentinel-2 annual composites into a coconut palm layer for the year 2020. The images have a spatial resolution of 20 meters and contain two classes: <br> [0] Other land covers that are not coconut palm.<br> [1] Coconut palm.</p> <p>The file ‘GlobalCoconutLayer_2020_densityMap_1km_v1-2.zip’ contains the 20-meter coconut palm classification aggregated to 1 km. The value of each pixel represents the coconut palm area (in squared meters) within the 1-km pixel. </p> <p>The file ‘Validation_points_GlobalCoconutLayer_2020_v1-2.shp’ includes the 10,200 points that were used to validate the product. Each point includes the attribute ‘Class’, which is the class assigned by visual interpretation of sub-meter resolution images, and the attribute ‘predClass’, which reflects the predicted class by the convolutional neural network. The ‘predClass’ values are the same as the raster files:<br> [0] Other land covers that are not coconut palm.<br> [1] Coconut palm.<br> The attribute ‘Class’ contains the following values: <br> [0] Land cover could not be determined because sub-meter resolution data was not available.<br> [1] Other land covers that are not coconut palm.<br> [2] Sparse coconut palm. Low density of coconut palms; between 1 and 4 coconut palms within the 20-meter pixel.<br> [3] Dense open-canopy coconut palm; more than 4 coconut palms within the 20-meter pixel but coconut trees do not reach the full canopy closure. <br> [4] Closed -canopy coconut palm; more than 4 coconut palms within the 20-meter pixel and coconut palms fully cover the ground.<br> [5] Palm species that are not coconut palm.</p> <p> </p> <p>Changelog v1-2:</p> <p>- Pixels classified as class ‘coconut’ were reclassified to class ‘other’ in West Bengal.</p>
Dataset for the high-resolution NEMO4 model of Cumberland Bay, South Georgia
<p>This data-set consist of the required model set up files to reproduce a NEMO4 high-resolution model of Cumberland Bay, South Georgia, for the years 2001 to 2010 as described in the thesis 'Oceanographic Variability in Cumberland Bay, South Georgia: Implications for Glacier Retreat and Fisheries Management' Joanna Zanker. Files required to reproduce the process tests detailed in the thesis are also provided with the relevant names and the scripts for running the individual-based model with the model flow fields parameterised for mackerel icefish.</p>
Dataset of "High-resolution MHz trARPES based on a tunable VUV source"
<p>This upload includes the experimentally measured data on Au111, Bi2Se3, and TaTe2 by time- and angle-resolved photoemission spectroscopy, as well as a laser spectrum of the Y-Fi VUV laser system.</p>
A high-resolution regional data-assimilative ocean modeling output near Cape Hatteras in 2017
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A high-resolution and whole-body dataset of hand-object contact areas based on 3D scanning method
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Data from: Age estimation using methylation-sensitive high-resolution melting (MS-HRM) in both healthy felines and those with chronic kidney disease
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High-content high-resolution microscopy and deep learning assisted analysis reveals host and bacterial heterogeneity during Shigella infection
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High-resolution CONUS-wide downscaled rainfall estimates (HRCDRE)
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High-resolution 4DVAR-based Gulf Stream data-assimilative model product
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Data for: Tracking the temporal dynamics of insect defoliation by high-resolution radar satellite data
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Data from: Non-invasive age estimation based on fecal DNA using methylation-sensitive high-resolution melting for Indo-Pacific bottlenose dolphins
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A high-resolution regional data-assimilative ocean modeling output near Cape Hatteras in 2018
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Data from: High-resolution chromosome-level genome of Scylla paramamosain provides molecular insights into adaptive evolution in crab
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A high-resolution three-year dataset supporting rooftop photovoltaics (PV) generation analytics
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High-resolution tropical rain-forest canopy climate data
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Age estimation of captive Asian elephants (Elephas maximus) based on DNA methylation: An exploratory analysis using methylation-sensitive high-resolution melting (MS-HRM)
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Data from: TC-GEN: Data-driven tropical cyclone downscaling using machine learning-based high-resolution weather model
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Segmented high-resolution transmission electron microscopy images of nanoparticles
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Data set for initializing and forcing of high-resolution local area model implementations in two ATLAS case study areas, Rockall Bank and Condor Seamount
<p>The data set includes all necessary data for set up, initial and boundary conditions of high-resolution local area model implementations using the ROMS-AGRIF model in two case study areas, Rockall Bank and Condor Seamount, conducted as part of the EU ATLAS project. The data include all computational grids, initialization fields (temperature, salinity) and boundary conditions (temperature salinity, currents, sea surface height) for each case study area.</p>
ScienceDex guides
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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.