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1,037 results for “large-scale”
Fig. 1 in Geographic variation in the relationship between large-scale environmental determinants and bat species richness
Fig. 1. Global pattern of bat species richness. Legend corresponds to the number of bat species per 2◦ × 2◦ grid cell. Letters represent the zoogeographic realms (Holt et al. 2013): Na = Nearctic, P = Panamanian, Nt = Neotropical, Pa = Palearctic, Sa = Saharo-Arabian, At = Afrotropical, M = Madagascan, Or = Oriental, Au = Australian, Sj = Sino-Japanese, Oc = Oceanian.
Fig. 3 in Geographic variation in the relationship between large-scale environmental determinants and bat species richness
Fig. 3. Spatial non-stationarity in the effect (R2) of the predictors of the three environmental hypotheses combined to explain the global pattern of bat species richness.
Dataset for large-scale experiment of block-grain phase transition
<p>Dataset related to the manuscript “Block-grain phase transition in rock avalanches: insights from large-scale experiments”, submitted to the Journal of Geophysical Research: Solid Earth.</p> <p>The dataset provides the raw and processed data for the large-scale experiments of block-grain phase transition due to fragmentation, including parameters reflecting the dynamics, fragmentation, deposit.</p> <p><strong>S1_data_velocity</strong> provides the average velocity at the front, middle and tail of the moving mass determined by the laser ranging sensors under different experimental configurations.</p> <p><strong>S2_data_fragmentation</strong> provides the fragment size distribution and relative breakage ratio.</p> <p><strong>S3_data_deposit </strong>provides the parameters of deposit, including the runout distances, friction coefficients.</p> <p><strong>S4_data_seismic </strong>provides the parameters used to characterize the seismic signal excited by the moving mass, including the envelope curve, marginal spectrum and seismic energy.</p>
Large-scale attributed hypergraph datasets: Amazon & MAG-PM
<p>Amazon and MAG-PM are two large-scale datasets of real-world attributed hypergraphs. The ScaNN indices for fast K-nearest neighbor searching are also included.</p><p>For further details, please refer to our publication "Efficient and Effective Attributed Hypergraph Clustering via K-Nearest Neighbor Augmentation" on SIGMOD 2023, and the <a href="https://github.com/CyanideCentral/AHCKA">GitHub repository</a>.</p>
MR-Eye atlas: a large-scale atlas of the eye based on T1-weighted MR imaging
<p>MR-Eye atlas is a novel digital atlas contructed from MR images (T1-weighted MRI acquired at 1.5T ) of large-scale population of healthy volonteers. It gathers a male and female structural atlas constructed from 594 males and 616 females, with their corresponding probability maps of the different labels projected onto the average respective male and female templates. The atlases include 9 regions of interest lens, globe, optic nerve, intraconal and extraconal fat, and four rectus muscles (lateral, medial, inferior and superior).</p> <p>The original dataset includes:</p> <ul> <li>sub_metadata.csv: dataset summary table</li> <li>template.nii.gz: atlas of the eye images (per sex)</li> <li>max_prob_map.npy and max_prob_map.nii.gz: maximum probability maps (per sex)</li> <li>prob_map.npy and prob_map.nii.gz: probability maps (per sex)</li> </ul> <p>The new version adds:</p> <ul> <li>a combined eye atlas (image + labels)</li> <li>labels projected onto Colin27 and MNI152 T1w spaces (along with the images and their cropped versions)</li> <li>2 more preview figures (labels onto the Colin27 and MNI152, and the scheme of the process)</li> <li>updates on release_notes.md and release_notes.txt (to track changes)</li> <li>modified readme.md and readme.txt</li> </ul> <p>Detailed information on the original large-scale cohort, automated segmentation method and unbiased atlas construction is detailed in the README file.</p> <p>MR-Eye atlas is presented and described in the following article: </p> <p><strong>"Eye-Opening Advances: Automated 3D Segmentation, Key Biomarkers Extraction, and the First Large-Scale MRI Eye Atlas"</strong>, J. Barranco, A. Luyken, H. Kebiri, P. Stachs, P. M. Gordaliza, O. Esteban, Y. Aleman, R. Sznitman, O. Stachs, S. Langner, B. Franceschiello<em>, </em>M. Bach Cuadra, https://doi.org/10.1101/2024.08.15.608051</p> <p><strong>Works using any of the provided ressources should cite the above-referred article.</strong></p> <p>Copyright (c) - All rights reserved. Medical Image Analysis Laboratory - Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne,Switzerland & CIBM Center for Biomedical Imaging. 2024.</p>
A Large-Scale In-the-wild Dataset for Plant Disease Segmentation
Open the record for dataset details and reuse information.
INTEGRAL Study: A Longitudinal Study of Surgeries and Lasers in Glaucoma: Long-term Results and Success Predictors Analysed From a Large-scale Retrospective and Prospective Glaucoma Register
ClinicalTrials.gov study NCT04381611. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Beaumont Health Large-scale Automated Serologic Testing for COVID-19
ClinicalTrials.gov study NCT04349202. IPD Sharing: NO. Countries: 1. Publications: 2.
The Influence of Multi-domain Cognitive Training on Large-scale Structural and Functional Brain Networks in MCI
ClinicalTrials.gov study NCT03883308. IPD Sharing: Not stated. Countries: 1. Publications: 1.
BioTechCOACH-ForALL: Development of Mental and Physical Exercise Systems, Clinical Recording, Supervisory Analytical Large-scale Data and Virtual Guidance of Vulnerable Population Groups
ClinicalTrials.gov study NCT03877328. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Enhanced Recovery After Surgery in Colorectal Surgery: A Large-Scale Quality Improvement Project
ClinicalTrials.gov study NCT03189550. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
PIECES - Towards Large-Scale Adaptation and Tailored Implementation of Primary Cancer Prevention Programs
ClinicalTrials.gov study NCT06718322. IPD Sharing: Not stated. Countries: 9. Publications: 3.
Shanghai Child and Adolescent Large-scale Eye Study -High Myopia Registration
ClinicalTrials.gov study NCT03666052. IPD Sharing: NO. Countries: 1. Publications: 1.
Towards a Wearable Alcohol Biosensor: Examining the Accuracy of BAC Estimates From New-Generation Transdermal Technology Using Large-Scale Human Testing and Machine Learning Algorithms
ClinicalTrials.gov study NCT05692830. IPD Sharing: UNDECIDED. Countries: 1. Publications: 27.
Prospective, Observational Real-world Treatments of AEDH in Large-scale Surgical Cases
ClinicalTrials.gov study NCT04229966. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Large-scale Prospective Double-blind Randomized Controlled Trial of Pecs II Block for Breast Surgery
ClinicalTrials.gov study NCT02544282. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A 3-year Cross-sectional Assessment of the Tianjin Child and Adolescent Large-scale Eye Study
ClinicalTrials.gov study NCT05967702. IPD Sharing: NO. Countries: 1. Publications: 3.
Ultrasound Large-scale Model in Thyroid Field: A Multi-center Study on Medical-Engineering Integration
ClinicalTrials.gov study NCT07296575. IPD Sharing: NO. Countries: 1. Publications: 3.
Carvedilol Post-intervention Long-term Administration in Large-scale Trial
ClinicalTrials.gov study NCT01155635. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Artificial Intelligence in Large-scale Breast Cancer Screening
ClinicalTrials.gov study NCT04778670. IPD Sharing: YES. Countries: 1. Publications: 2.
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.