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98
datasets available to search
ShareScore release 0.9.0
Dataset results
98 results for “CNN”
Synthetic and reticulated foam solid and velocity data used to train and validate CNN models
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Training and testing dataset for CNN
<p>This file includs the training and testing datasets for the CNN classifier for the Edge-computing embeded Malaria DNA diagnostic study. </p>
Tomato leaf disease recognition system using Faster R-CNN
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The CNN classifier at the phylum level for fungal classification
<p>The classifier was trained using the CNN model and the WI-CBS ITS barcode dataset for fungal identification</p>
Investigating CNN-Based Instrument Family Recognition for Western Classical Music Recordings
<p>This repository contains the data used for experiment 2 (both patch- and file-based) to reproduce the results from the ISMIR paper.</p> <p>If you wish to know more about the dataset and experiment 1, please contact us.</p>
A high accuracy of deep learning based CNN architecture: classic, VGGNet, and RestNet50 for Covid-19 image classification
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Land Cover result (2011) from 1d-CNN on CONUS
<p>The document is the land cover results from the paper:</p> <p>Hankui K. Zhang, David P. Roy, Dong Luo, Demonstration of large area land cover classification with a one dimensional convolutional neural network applied to single pixel temporal metric percentiles. Remote sensing of environment. (revision)</p> <p>There is total 482 files and the name of each file is:</p> <p>Landsatard2011.hxxvxx.7p.cnnnlcd.tif</p> <p>The “hxx” and “vxx” are the unique horizontal and vertical number that aligning with the Conterminous U.S. Landsat Analysis Ready Data (ARD) Tiles <a href="https://www.usgs.gov/media/images/conterminous-us-landsat-analysis-ready-data-ard-tiles">https://www.usgs.gov/media/images/conterminous-us-landsat-analysis-ready-data-ard-tiles</a>.</p> <p>Total 15 classes:</p> <p>11: Open water</p> <p>21: Developed, open-space</p> <p>22: Developed, low-intensity</p> <p>23: Developed, medium-intensity</p> <p>24: Developed, high-intensity</p> <p>31: Barren land</p> <p>41: Deciduous forest</p> <p>42: Evergreen forest</p> <p>43: Mixed forest</p> <p>52: Shrub/scrub</p> <p>71: Grassland/herbaceous</p> <p>81: Pasture/hay</p> <p>82: Cultivated crops</p> <p>90: Woody wetlands</p> <p>95: Emergent herbaceous wetland</p> <p>The data format is GEOTIFF files with unit8 data type.</p> <p>It has "cnn1d_landcover_result_readme" and zip file "cnn1d.7p.result.u8".</p>
Diagnostic Efficacy of CNN in Predicting Intraoperative Complications and Postoperative Outcomes in SMILE
ClinicalTrials.gov study NCT06204926. IPD Sharing: NO. Countries: 1. Publications: 0.
Diagnostic Efficacy of CNN in Differentiation of Visual Field
ClinicalTrials.gov study NCT03759483. IPD Sharing: NO. Countries: 1. Publications: 0.
CNN
<p>CNN-dataset</p>
Dangerous Items Detection Results (Faster R-CNN)
<p>Selected excerpts from an experiment in which the Faster R-CNN object detector was used.</p>
ai-matrix CNN_Caffe
<p>Large files in AI Matrix.</p>
Poisson dataset for CNN training
<p>.mat files that were generated to train a convolutional physics-informed neural network.</p>
Mitigating antagonism between transcription and proliferation allows near-deterministic cellular reprogramming (CNN)
GEO Series GSE134728. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Earthquake data for the Japan region from 2000 to 2023 and the CNN_LSTM magnitude prediction model.
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BSpell: A CNN-Blended BERT Based Bengali Spell Checker Dataset
<p>Bengali typing is mostly performed using English keyboard and can be highly erroneous due to the presence of compound and similarly pronounced letters. Spelling correction of a misspelled word requires understanding of word typing pattern as well as the context of the word usage. A specialized BERT model named BSpell has been proposed in this paper targeted towards word for word correction in sentence level. BSpell contains an end-to-end trainable CNN sub-model named SemanticNet along with specialized auxiliary loss. This allows BSpell to specialize in highly inflected Bengali vocabulary in the presence of spelling errors. furthermore, a hybrid pretraining scheme has been proposed for BSpell that combines word level and character level masking. Comparison on two Bengali and one Hindi spelling correction dataset shows the superiority of our proposed approach.</p>
CNN
<p>Code</p>
MERRA2_CNN_HAQAST bias corrected global hourly surface total PM2.5 mass concentration, V1 (MERRA2_CNN_HAQAST_PM25) at GES DISC
This product provides MERRA-2 bias-corrected global hourly surface total PM2.5 mass concentration with the same horizontal spatial resolution as MERRA-2, covering a temporal range from 2000 to 2024. It is derived using a machine learning (ML) approach with a convolutional neural network (CNN) method and is specifically developed for the NASA Health and Air Quality Applied Sciences Team (HAQAST).The dataset consists of two parameters: MERRA2_CNN_Surface_PM25 and QFLAG. MERRA2_CNN_Surface_PM25, a 3-dimensional variable (time, latitude, longitude), represents the surface PM2.5 concentrations in µg/m³. QFLAG denotes the quality of data at each grid point, where 4 indicates the highest quality and 1 indicates the lowest quality. It is recommended to use QFLAG values of 3 and 4 for quantitative analysis.
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.