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768 results for “reinforcement”

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geo24/100

Tox reinforces the phenotype and longevity of dysfunctional T cell populations during chronic viral infection [WT vs KO +/- Tim3]

GEO Series GSE132033. Mus musculus. 20 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJul 2019View details →
geo24/100

ZFP36-family RNA-binding proteins in regulatory T cells reinforce immune homeostasis [single cell RNA-seq]

GEO Series GSE240517. Mus musculus. 3 samples. Type: Expression profiling by high throughput sequencing; Other.

openGEO-OpenAug 2024View details →
geo24/100

Restoration and reinforcement of acclimatizing responses during the adaptation of an unfit, metabolically engineered strain

GEO Series GSE42116. Methylorubrum extorquens AM1. 30 samples. Type: Expression profiling by array.

openGEO-OpenNov 2012View details →
geo24/100

DNA hypomethylation promotes UHRF1- and SUV39H1/H2-dependent crosstalk between H3K18ub and H3K9me3 to reinforce heterochromatin states [ChIP-Seq]

GEO Series GSE282924. Homo sapiens. 9 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenDec 2024View details →
geo24/100

DNA hypomethylation promotes UHRF1- and SUV39H1/H2-dependent crosstalk between H3K18ub and H3K9me3 to reinforce heterochromatin states

GEO Series GSE256135. Homo sapiens. 77 samples. Type: Methylation profiling by genome tiling array; Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing; Methylation profiling by array.

openGEO-OpenDec 2024View details →
geo24/100

Reinforcement of DNA methylation in CHH context through RNA-directed DNA methylation ensures sexual reproduction in rice [RNA-seq]

GEO Series GSE112256. Oryza sativa. 4 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJun 2022View details →
geo24/100

A Myc-driven self-reinforcing regulatory network maintains mouse embryonic stem cell identity (BeadChip)

GEO Series GSE58656. Mus musculus. 19 samples. Type: Expression profiling by array.

openGEO-OpenMar 2016View details →
geo24/100

Disturbed mitochondrial dynamics in CD8+ TIL reinforce epigenetic programming linked with T cell exhaustion [RNA-Seq]

GEO Series GSE156506. Mus musculus. 7 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenSep 2020View details →
geo24/100

DNA hypomethylation promotes UHRF1- and SUV39H1/H2-dependent crosstalk between H3K18ub and H3K9me3 to reinforce heterochromatin states

GEO Series GSE256114. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenDec 2024View details →
zenodo24/100

Characterization of the Fiber Orientations in Non-Crimp Glass Fiber Reinforced Composites using Structure Tensor

<p>This dataset contains data, notebooks and code used in the publication:</p> <p>[1] Jeppesen, N., V.A. Dahl, A.N. Christensen, A.B. Dahl, L.P. Mikkelsen, Characterization of the fiber orientations in non-crimp glass fiber reinforced composites using structure tensor. <em>IOP Conf. Ser.: Mater. Sci. Eng.</em> <strong>942</strong>, 012037, <a href="https://doi.org/10.1088/1757-899X/942/1/012037">https://doi.org/10.1088/1757-899X/942/1/012037</a>, 2020</p> <p>If you reference this dataset, please also consider referencing the paper above.</p> <p>HF401TT-13_FoV16.5_Stitch.zip contains an X-ray CT scan of a non-crimp glass fiber composite sample saved in the TXM file format.</p> <p>HF401TT-13_FoV16.5_Stitch.txm.nii contains a cut-out of the TXM data, where air around the sample has been removed and the result has been saved in the NIfTI file format.</p> <p>The two notebooks, <em>StructureTensorFiberAnalysisDemo</em> and <em>StructureTensorFiberAnalysisAdvancedDemo</em> rely on the NIfTI scan data, HF401TT-13_FoV16.5_Stitch.txm.nii. They demonstrate how to do structure tensor orientation analysis on the data.</p> <p>The HF401TT-13_FoV16.5_Stitch notebook use the TXM scan data, HF401TT-13_FoV16.5_Stitch.zip. It can be used to recreate the results of the published experimental results.</p> <p>To run the notebooks, the Python file, structure_tensor_workers.py, must be in the same directory as the notebook.</p> <p>By default, the notebooks expect the following folder structure:</p> <p>/notebooks: Folder with the notebooks and Python files.<br> /originals: Folder with the data (TXM/NIfTI files).<br> /tmp: Folder for temporary files and output generated running the notebooks.<br> /notebooks/figures: Folder for exporting figures as files (only needed if you want to save figures as files).</p>

opencc-by-4.0Jun 2020View details →
zenodo24/100

Local fibre volume fraction in non-crimp glass-fibre reinforced composites based on scanning electron microscopy.

<p>SEM data and segmentation of two non-crimp fabric cases used in&nbsp;the following two&nbsp;publications&nbsp;to where the references should be given.&nbsp;</p> <p>S&oslash;rensen, B.F., Goutianos, S., Mikkelsen, L.P., F&aelig;ster, S. (2021). Fatigue damage growth and fatigue life of unidirectional composites. Composites Science and Technology, (in press), <a href="https://doi.org/10.1016/j.compscitech.2021.108656">https://doi.org/10.1016/j.compscitech.2021.108656</a></p> <p>Mikkelsen, L.P., F&aelig;ster, S., Goutianos, S., S&oslash;rensen, B.F. Scanning electron microscopy datasets for local fibre volume fraction determination in non-crimp glass-fibre reinforced composites. <em>Data in Brief</em>, <strong>35</strong>, <a href="https://doi.org/10.1016/j.dib.2021.106868">https://doi.org/10.1016/j.dib.2021.106868</a>, 2021, 106868.</p> <p>Description of the data-files:</p> <p>For each of the two cases, five files are made available. Those two file-set contains:</p> <p>&bull; Tif-file: The stitched SEM scanned image which is used in the fibre volume fraction analysis</p> <p>&bull; Hdr-file: Meta-data about the stitched SEM scanned image</p> <p>&bull; M-file: The Matlab script used for analysing the tif-file</p> <p>&bull; Mat-file: Matlab mask data for a selection of the bundles used in the fibre volume fraction analysis&nbsp;<br> &nbsp;</p>

opencc-by-4.0Oct 2020View details →
zenodo24/100

Environmental and economic sustainability of crack mitigation in reinforced concrete with SuperAbsorbent polymers (SAPs)

Open the record for dataset details and reuse information.

opencc-by-4.0Jan 2024View details →
zenodo24/100

Infiltration through fibrous carbon reinforcements

<p>Fluid flow of two different model fluids containing a ZnI2-based contrasting agent through different fibrous carbon reinforcements visualized by means of X-ray radiography.</p>

openJan 2023View details →
zenodo24/100

COMPOSITES REINFORCED WITH FIBERS OR FIBROUS CRYSTALS

<p><em><span>In this article, the types of composite materials and their development, fields of application, and technological methods of preparation are widely covered.</span></em></p>

openSep 2024View details →
zenodo24/100

Dataset for effects of shear zone thickness in root-reinforced soils: Willow F X-ray CT scans and digital volume correlation data

<p>Dataset for effects of shear zone thickness in root-reinforced soils: Willow F X-ray CT scans and digital volume correlation data</p>

opencc-by-4.0Nov 2019View details →
zenodo24/100

Figure 1 from: Dickinson EC (2016) Reinforcing the foundations of ornithological nomenclature: Filling the gaps in Sherborn's and Richmond's historical legacy of bibliographic exploration. In: Michel E (Ed.) Anchoring Biodiversity Information: From Sherborn to the 21st century and beyond. ZooKeys 550: 107–134. https://doi.org/10.3897/zookeys.550.10170

Figure 1 - Charles Wallace Richmond as depicted in his obituary in The Auk by Stone (1933).

opencc-by-4.0Jan 2016View details →
zenodo24/100

Numerical analysis and machine learning techniques on the behavior of FRP confined circular reinforced concrete columns

<p>This study presents a comprehensive nonlinear finite element study on the behavior of circular fibre reinforced polymer (FRP) confined reinforced and plain concrete columns under concentric loads. For this investigation, 65 test models with a combination of spiral hoop reinforced concrete, concrete with longitudinal and circular hoop reinforcements, and FRP confined plain concrete were designed&nbsp;. Four different machine learning (ML) techniques were developed to predict the ultimate axial load and strain at the tensile rupture of FRP. The accuracy of the proposed finite element model (FEM) was verified by comparing it with the existing experimental test results. The impact of unconfined concrete strength, hoop reinforcement ratio, thickness of FRP, and spiral hoop spacing on the confinement effectiveness, load-carrying capacity, and ductility behavior of circular FRP confined concrete columns were demonstrated. The parametric analysis found that axial load capacity of FRP-confined concrete columns increased when unconfined concrete strength increased, while low-strength confined concrete achieved a larger strength improvement ratio than high-grade concrete. The investigation also revealed that the thickness of the confining FRP has a significant impact on the confinement effectiveness of hoop reinforcement. The correlation between the FEM and experimental tests yielded 99.60% R<sup>2</sup> for ultimate axial load and 93.40% R<sup>2</sup> for ultimate strain. Extra tree regressor (ETR) and gradient boosting of ML yielded accurate predictions of ultimate axial load and strain at the tensile rupture of FRP compared to other approaches, but ETR has the best comprehensive prediction performance using the comprehensive ranking system. Overall, ETR can be applied in the ultimate axial load and strain prediction of circular FRP confined reinforced and plain concrete columns under concentric loads, conserving resources, time, and cost through laboratory testing.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Aug 2023View details →
ClinicalTrials.gov24/100

Prosthetic Complications in Fixed All-On-Four Prosthesis Reinforced with Poly Ether Ether Ketone (PEEK) Versus Cobalt Chromium (Co-Cr) Framework

ClinicalTrials.gov study NCT06631573. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

The Effect of Nicotine Delivery Rate on Reinforcement

ClinicalTrials.gov study NCT03134339. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Changes in Food Reinforcement During Obesity Treatment

ClinicalTrials.gov study NCT00200291. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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