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249 results for “Synergy”

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dryad32/100

Networks of physiological adjustments and defenses, and their synergy with sodium (Na+) homeostasis explain the hidden variation for salinity tolerance across the cultivated Gossypium hirsutum germplasm

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publicNov 2020View details →
dryad32/100

Data from: Hologenomic speciation: synergy between a male-killing bacterium and sex-linkage creates a ‘magic trait’ in a butterfly hybrid zone

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publicAug 2013View details →
dryad32/100

The synergy of intrinsic ecological mechanisms of leaf nutrient resorption in temperate deciduous trees

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publicFeb 2024View details →
dryad32/100

Common kinematic synergies of various human locomotor behaviours

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publicApr 2021View details →
dryad28/100

Data from: Variation in defence strategies in the metal hyperaccumulator Noccaea caerulescens is indicative of synergies and trade-offs between forms of defence

The metal hyperaccumulator, N. caerulescens, uses metals as a defence against pathogens. Earlier work has suggested both trade-offs and synergies between metals and inducible defences. Different populations of N. caerulescens vary in metal accumulation. Here, we test the hypothesis that this produces different outcomes in trade-offs between defences. We compare zinc concentrations, glucosinolate concentrations, and inducible stress responses, including ROS and cell death, in four N. caerulescens populations, and relate these to the growth of the plant pathogen Pseudomonas syringae, its zinc tolerance mutants, and Pseudomonas pathogens isolated from a natural population of N. caerulescens. The populations display strikingly different defences. Where defences are successful, pathogens are limited primarily by metals, cell death, or organic defences, with evidence of both trade-offs and synergies between these, depending upon population. In addition, we find evidence that Pseudomonas pathogens may evolve to overcome any of these strategies, indicating that the arms race continues. These data indicate that defensive enhancement, joint effects and trade-offs between forms of defence are all plausible explanations for the evolution of metal-based defences, with factors including metal availability and pressures from metal-tolerant pathogens likely shaping the current strategy of each ecotype.

opencc-zeroDec 2017View details →
dryad28/100

Data from: High chlorpyrifos resistance in Culex pipiens mosquitoes: strong synergy between resistance genes

We investigated the genetic determinism of high chlorpyrifos resistance (HCR), a phenotype first described in 1999 in Culex pipiens mosquitoes surviving chlorpyrifos doses greater than or equal to1 mg l−1 and more recently found in field samples from Tunisia, Israel or Indian Ocean islands. Through chlorpyrifos selection, we selected several HCR strains that displayed over 10 000-fold resistance. All strains were homozygous for resistant alleles at two main loci: the ace-1 gene, with the resistant ace-1R allele expressing the insensitive G119S acetylcholinesterase, and a resistant allele of an unknown gene (named T) linked to the sex and ace-2 genes. We constructed a strain carrying only the T-resistant allele and studied its resistance characteristics. By crossing this strain with strains harboring different alleles at the ace-1 locus, we showed that the resistant ace-1R and the T alleles act in strong synergy, as they elicited a resistance 100 times higher than expected from a simple multiplicative effect. This effect was specific to chlorpyrifos and parathion and was not affected by synergists. We also examined how HCR was expressed in strains carrying other ace-1-resistant alleles, such as ace-1V or the duplicated ace-1D allele, currently spreading worldwide. We identified two major parameters that influenced the level of resistance: the number and the nature of the ace-1-resistant alleles and the number of T alleles. Our data fit a model that predicts that the T allele acts by decreasing chlorpyrifos concentration in the compartment targeted in insects.

opencc-zeroDec 2014View details →
zenodo28/100

Predicting Drug Synergy through Drug-Associated Pathways Using Deep Learning

<p>example input dataset for one cross-validation run</p>

opencc-by-4.0Apr 2021View details →
zenodo28/100

SNSynergy: similarity network-based machine learning framework for synergy prediction towards new cell lines and new anticancer drug combinations

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opencc-by-4.0Mar 2024View details →
zenodo28/100

Driving factors of HONO and their synergy in Hohhot, a semi-arid city in northern China: Insights from interpretable machine learning approaches

<p>Research data includes air pollutants observation data and meteorological parameters data.</p>

opencc-by-4.0Nov 2024View details →
zenodo28/100

Carbon neutrality transitions from government-dependent towards free trade autonomy renewable markets with grid-demand-storage synergies

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opencc-by-4.0Apr 2024View details →
zenodo28/100

Synergy between early soil formation and organic matter build-up: a study case in a 20-year Technosol chronosequence

<p>Supporting dataset for paper.</p> <p>&nbsp;</p>

opencc-by-4.0Oct 2022View details →
zenodo28/100

SolSysELTs2022 Part II: Comets and Asteroids: Synergies between space missions and ELTs

<p>Invited talk: presentation and video recording</p>

opencc-by-4.0Nov 2022View details →
zenodo28/100

A study of synergy between programming practices evolution and information disclosure-causing vulnerabilities

<p>This paper focuses on vulnerabilities that resulted in information disclosure and how their characteristics changed over two decades, from 1999 to 2020. The purpose of this analysis was to understand the development in conventional programming and its relationship with information disclosure-causing vulnerabilities. The focus period of this study was divided into two decades: 1999&ndash;2010 and 2010&ndash;2020. To understand the vulnerabilities that were reported in the first decade and remained popular in the second decade, the crawled CVEs were filtered based on their publication and update dates.</p>

opencc-byAug 2023View details →
zenodo28/100

Pre-calculated SHAP Values for Drug Synergy Model

<p>Pre-calculated SHAP Values used to evaluate feature importance in the drug synergy model.</p>

opencc-by-4.0Oct 2023View details →
ClinicalTrials.gov28/100

SYNERGY China: Assess SYNERGY Stent in China

ClinicalTrials.gov study NCT02499692. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov28/100

ABLATE Post Approval Study - Synergy Ablation Lesions for Non-Paroxysmal Atrial Fibrillation

ClinicalTrials.gov study NCT01694563. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov28/100

SOLEMN Study - Synergy Optical Coherence Tomography in Left Main PCI

ClinicalTrials.gov study NCT03474432. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov28/100

Synergy Lens Outcomes Evaluation

ClinicalTrials.gov study NCT05418153. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

Muscle Synergies During Gait in Children With Cerebral Palsy Undergoing Robot-assisted Gait Therapy

ClinicalTrials.gov study NCT06156969. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

A Clinical Trial to Assess the SYNERGY 48 mm Stent System for the Treatment of Atherosclerotic Lesion(s)

ClinicalTrials.gov study NCT03350542. IPD Sharing: UNDECIDED. Countries: 4. 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