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519 results for “Optimisation”
Supplementary material 2 from: Deiner K, Lopez J, Bourne S, Holman LE, Seymour M, Grey EK, Lacoursière-Roussel A, Li Y, Renshaw MA, Pfrender ME, Rius M, Bernatchez L, Lodge DM (2018) Optimising the detection of marine taxonomic richness using environmental DNA metabarcoding: the effects of filter material, pore size and extraction method. Metabarcoding and Metagenomics 2: e28963. https://doi.org/10.3897/mbmg.2.28963
Bioinformatic pipeline and thresholds :
Supplementary material 3 from: Deiner K, Lopez J, Bourne S, Holman LE, Seymour M, Grey EK, Lacoursière-Roussel A, Li Y, Renshaw MA, Pfrender ME, Rius M, Bernatchez L, Lodge DM (2018) Optimising the detection of marine taxonomic richness using environmental DNA metabarcoding: the effects of filter material, pore size and extraction method. Metabarcoding and Metagenomics 2: e28963. https://doi.org/10.3897/mbmg.2.28963
Profiling tables for all libraries :
Supplementary material 1 from: Deiner K, Lopez J, Bourne S, Holman LE, Seymour M, Grey EK, Lacoursière-Roussel A, Li Y, Renshaw MA, Pfrender ME, Rius M, Bernatchez L, Lodge DM (2018) Optimising the detection of marine taxonomic richness using environmental DNA metabarcoding: the effects of filter material, pore size and extraction method. Metabarcoding and Metagenomics 2: e28963. https://doi.org/10.3897/mbmg.2.28963
Extraction protocols :
Flow diagram depicting an overview of the proposed layer optimisation methodology for Li-ion pouch cells.
<p>Flow diagram depicting an overview of the proposed layer optimisation methodology for Li-ion pouch cells.</p>
Schematic representing the vehicle–to–cell hierarchical overview of a typical electrified powertrain architecture. This represents the system-level context within which the proposed layer optimisation framework has been developed. Two xEV powertrains — a) BEV and b) series PHEV — are chosen as examples to demonstrate how the methodology facilitates common module designs for such battery packs.
<p>Schematic representing the vehicle–to–cell hierarchical overview of a typical electrified powertrain architecture. This represents the<br> system-level context within which the proposed layer optimisation framework has been developed. Two xEV powertrains — a) BEV and b) series PHEV — are chosen as examples to demonstrate how the methodology facilitates common module designs for such battery packs.</p>
Flow diagram depicting an overview of the proposed layer optimisation methodology for Li-ion pouch cells.
<p>Flow diagram depicting an overview of the proposed layer optimisation methodology for Li-ion pouch cells.</p>
Micro-Optimisation of Containerised Microservices
<p>Just-for-me configuration for optimising read-only database containers.</p>
Occipital Nerve Stimulation (ONS) for Migraine: OPTIMISE
ClinicalTrials.gov study NCT01775735. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Dose Optimisation Study of ASLAN003 in Acute Myeloid Leukemia
ClinicalTrials.gov study NCT03451084. IPD Sharing: Not stated. Countries: 3. Publications: 0.
In Silico Pace Mapping To Optimise Ventricular Tachycardia Ablation
ClinicalTrials.gov study NCT05500365. IPD Sharing: UNDECIDED. Countries: 0. Publications: 3.
The ORTIZ Study: Optimising RASi Therapy With SZC
ClinicalTrials.gov study NCT04983979. IPD Sharing: NO. Countries: 1. Publications: 0.
The Oxford Optimisation of PCI Study (OXOPT-PCI Study)
ClinicalTrials.gov study NCT03111940. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Omacor Plus Standard Therapies In Post Myocardial Infarction (MI) Subjects Evaluation: The OPTIMISE Observational Study
ClinicalTrials.gov study NCT01632878. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Optimising Nutrition, Oral Health and Medication for Older Home Care Clients (NutOrMed)
ClinicalTrials.gov study NCT02214758. IPD Sharing: Not stated. Countries: 0. Publications: 6.
Optimisation of the Management of Placental Delivery in Second Trimester Pregnancy Interruption
ClinicalTrials.gov study NCT00120042. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The His Optimised Pacing Evaluated for Heart Failure Trial (HOPE-HF).
ClinicalTrials.gov study NCT02671903. IPD Sharing: YES. Countries: 1. Publications: 0.
Clinical Trial to Optimise Levels of Vitamin D for Rhinovirus Protection
ClinicalTrials.gov study NCT04368520. IPD Sharing: YES. Countries: 1. Publications: 0.
Optimising Treatments for Faecal Incontinence
ClinicalTrials.gov study NCT04273009. IPD Sharing: NO. Countries: 0. Publications: 5.
Cardiac Rehabilitation: Optimisation of the Functional Capacity of Patients Hospitalized With Cardiac Disease
ClinicalTrials.gov study NCT06546878. IPD Sharing: YES. Countries: 1. Publications: 0.
Angiography Versus (vs) IVUS Optimisation
ClinicalTrials.gov study NCT00936169. IPD Sharing: Not stated. Countries: 0. Publications: 1.
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.