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840 results for “SR”
Dataset used for the paper Nikezić et al. "Geochemical Fingerprinting of Norway Spruce from the Eastern Carpathians: Sr Isotopic and Multi-Elemental Signatures"
<p>This is a supplementary dataset to the paper entitled "Geochemical Fingerprinting of Norway Spruce from the Eastern Carpathians: Sr Isotopic and Multi-Elemental Signatures" prepared by authors Majda NIKEZIĆ, Aurel PERŞOIU, Renata FEHER, Ionel POPA, Tea ZULIANI and currently under review.</p>
Research Data for "Evaluating the electronic structure and stability of epitaxially grown Sr-doped LaFeO3 perovskite alkaline O2 evolution model electrocatalysts"
<p>This is the research data supporting figures and tables for the paper "Evaluating the electronic structure and stability of epitaxially grown Sr-doped LaFeO3 perovskite alkaline O2 evolution model electrocatalysts" appearing in <em>RSC Applied Interfaces </em>under DOI <a title="Link to landing page via DOI" href="https://doi.org/10.1039/D4LF00260A">https://doi.org/10.1039/D4LF00260A</a>.</p>
Fore-arc metasomatism by hybrid slab fluids during subduction initiation: Sr–Mg–Ca isotopes of rodingite, western Yarlung Zangbo suture zone
<p> Subduction zone metasomatism is critical for Earth’s material exchanges, yet understanding slab dehydration, particularly deserpentinization beneath fore-arcs, remains challenging. Here, we present Sr–Mg–Ca isotopic data for the Purang rodingites in the western Yarlung-Zangbo suture zone (YZSZ). These rodingites, dominated by amphibolite- to greenschist-facies minerals like tremolite, magnesiohornblende, and chlorite, exhibit cumulate textures and rare earth element patterns resembling troctolites or gabbronorites, presumably formed beneath a seafloor spreading center. The rodingites are enriched in large ion lithophile elements and depleted in high field strength elements. They show higher initial <sup>87</sup>Sr/<sup>86</sup>Sr ratios (0.7067–0.7075) and elevated δ<sup>26</sup>Mg values (–0.22 ± 0.07‰ to –0.13 ± 0.02‰) compared to pristine oceanic basalts, while their δ<sup>44/40</sup>Ca values (0.72 ± 0.02‰ to 0.87 ± 0.03‰) correspond to mid-ocean ridge basalts (MORB). These features imply fore-arc mantle metasomatism of an original MOR-derived protolith at <40 km slab depth, driven by Sr- and Mg-rich fluids from clay-rich sediments and serpentinitized mantle, respectively. The measured Sr and Mg isotope compositions can be reproduced by mixing a MORB-like protolith with hybrid fluids derived from 70–30% clays and 30–70% serpentinites, with a fluid-to-rock ratio of approximately 1:3–1:5. Combined with studies on YZSZ metamorphic soles, we propose this metasomatism occurred during incipient subduction of the Neo-Tethys oceanic rocks. Our studies highlight the significance of deserpentinization at shallow fore-arc mantle settings during subduction initiation and suggest that subducting slabs exhibit more varied dehydration characteristics than previously recognized.</p>
Screening Process and Eligibility Decision for SR Anticancer Effects Curcumin, Shogaols, and Gingerols
<p>A dataset consisting of list of studies together with their inclusion/exclusion decision for</p> <p>a. Sheet 1: Excluded studies with reason(s) from electronic database search</p> <p>b. Sheet 2: Included studies from electronic database search</p> <p>c. Sheet 3: Decision on full-text screening</p> <p>d. Sheet 4: Decision on studies retrieved from other sources</p>
Calibration data for reflection bridge using SR 844 lock-in amplifier
<p>Calibration data for reflection brigde using SR 844 lock-in amplifier</p>
PWB Muscle SR - Supplementary Table S3 (PWB-RoBC)
<p>Supplementary Material for the manuscript entitled 'Skeletal Muscle Deconditioning During Partial Weight-Bearing in Rodents – A Systematic Review and Meta-Analysis'</p>
PWB Muscle SR - Supplementary Figs. S1-S5
<p>Supplementary Material for the manuscript entitled 'Skeletal Muscle Deconditioning During Partial Weight-Bearing in Rodents – A Systematic Review and Meta-Analysis'</p>
ULTRA-SR: Synthetic Data
<p><strong>ULTRA-SR: Ultrasound Localisation and TRacking Algorithms for Super Resolution</strong></p> <p>The ULTRA-SR Challenge was held at the 2022 IEEE International Ultrasound Symposium in Venice, Italy.</p> <p>The aim of the ULTRA-SR challenge is to extensively evaluate the performance of localization and tracking algorithms for Ultrasound Localization Microscopy.</p> <p>Two realistic simulated datasets of microvascular flow generated, using flow physics, acoustic field simulation with low and high clinical ultrasound frequencies, integrated with non-linear bubble dynamics.</p> <p>The ULTRA-SR Challenge dataset is publicly available for researchers to benchmark new algorithms and software.</p> <p>Additional information is available at: <a href="https://ultra-sr.com/">https://ultra-sr.com/</a></p> <p>Pre-print paper to cite which describes the data generation: <a href="https://doi.org/10.48550/arXiv.2211.00754">https://doi.org/10.48550/arXiv.2211.00754</a></p>
Supplementary material 14 from: Gloria-Soria A, Shragai T, Ciota AT, Duval TB, Alto BW, Martins AJ, Westby KM, Medley KA, Unlu I, Campbell SR, Kawalkowski M, Tsuda Y, Higa Y, Indelicato N, Leisnham PT, Caccone A, Armstrong PM (2022) Population genetics of an invasive mosquito vector, Aedes albopictus in the Northeastern USA. NeoBiota 78: 99-127. https://doi.org/10.3897/neobiota.78.84986
Population structure on Aedes albopictus samples from all Connecticut samples (no temporal series) based on 15 microsatellite markers
Supplementary material 12 from: Gloria-Soria A, Shragai T, Ciota AT, Duval TB, Alto BW, Martins AJ, Westby KM, Medley KA, Unlu I, Campbell SR, Kawalkowski M, Tsuda Y, Higa Y, Indelicato N, Leisnham PT, Caccone A, Armstrong PM (2022) Population genetics of an invasive mosquito vector, Aedes albopictus in the Northeastern USA. NeoBiota 78: 99-127. https://doi.org/10.3897/neobiota.78.84986
Population structure of Aedes albopictus at the United States northeastern invasion front (New York, Connecticut, Massachusetts) based on 15 microsatellite markers
Supplementary material 11 from: Gloria-Soria A, Shragai T, Ciota AT, Duval TB, Alto BW, Martins AJ, Westby KM, Medley KA, Unlu I, Campbell SR, Kawalkowski M, Tsuda Y, Higa Y, Indelicato N, Leisnham PT, Caccone A, Armstrong PM (2022) Population genetics of an invasive mosquito vector, Aedes albopictus in the Northeastern USA. NeoBiota 78: 99-127. https://doi.org/10.3897/neobiota.78.84986
Population structure of Aedes albopictus from the United States and Japan based on 15 microsatellite markers
Supplementary material 10 from: Gloria-Soria A, Shragai T, Ciota AT, Duval TB, Alto BW, Martins AJ, Westby KM, Medley KA, Unlu I, Campbell SR, Kawalkowski M, Tsuda Y, Higa Y, Indelicato N, Leisnham PT, Caccone A, Armstrong PM (2022) Population genetics of an invasive mosquito vector, Aedes albopictus in the Northeastern USA. NeoBiota 78: 99-127. https://doi.org/10.3897/neobiota.78.84986
Estimates of effective population size based of Connecticut populations obtained with NeEstimator (Do et al. 2014)
Supplementary material 8 from: Gloria-Soria A, Shragai T, Ciota AT, Duval TB, Alto BW, Martins AJ, Westby KM, Medley KA, Unlu I, Campbell SR, Kawalkowski M, Tsuda Y, Higa Y, Indelicato N, Leisnham PT, Caccone A, Armstrong PM (2022) Population genetics of an invasive mosquito vector, Aedes albopictus in the Northeastern USA. NeoBiota 78: 99-127. https://doi.org/10.3897/neobiota.78.84986
Genetic clusters inferred from all Connecticut collections using discriminant analysis of principal components in the ADEGENET package
Supplementary material 5 from: Gloria-Soria A, Shragai T, Ciota AT, Duval TB, Alto BW, Martins AJ, Westby KM, Medley KA, Unlu I, Campbell SR, Kawalkowski M, Tsuda Y, Higa Y, Indelicato N, Leisnham PT, Caccone A, Armstrong PM (2022) Population genetics of an invasive mosquito vector, Aedes albopictus in the Northeastern USA. NeoBiota 78: 99-127. https://doi.org/10.3897/neobiota.78.84986
Probability of a recent bottleneck at each Aedes albopictus location, under the infinite allele model (IAM) and the two-phase model (TPM) with variance of 0.36
Dose Proportionality Study About Amaryl M Slow Release (SR) 1/500 mg
ClinicalTrials.gov study NCT00934323. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Study Comparing Discontinuation Symptoms Of DVS SR In Subjects With Major Depressive Disorder (MDD)
ClinicalTrials.gov study NCT01056289. IPD Sharing: Not stated. Countries: 0. Publications: 1.
CSS-SR Validation Study
ClinicalTrials.gov study NCT06798493. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Direct Stenting of TAXUS Liberté™-SR Stent for the Treatment of Patients With de Novo Coronary Artery Lesions
ClinicalTrials.gov study NCT00371423. IPD Sharing: Not stated. Countries: 4. Publications: 4.
Assessment of LV/RV S and SR Before and After Percutaneous Closure of ASDs
ClinicalTrials.gov study NCT04091919. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Study Evaluating the Long-Term Safety of Desvenlafaxine Succinate Sustained-Release (DVS SR) in Subjects With Pain Associated With Diabetic Peripheral Neuropathy
ClinicalTrials.gov study NCT01050218. IPD Sharing: Not stated. Countries: 0. Publications: 1.
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.