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1,067 results for “perturbation”
Causal identification of single-cell experimental perturbation effects with CINEMA-OT
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The force response of muscles to activation and length perturbations depends on length history
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Experimental parasite community perturbation reveals associations between Sin Nombre virus and gastrointestinal nematodes in a rodent reservoir host
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Data from: Shift in distribution of division of labour in chronically stressed honeybee colonies after perturbation
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Thallium(I) exposure perturbs the gut microbiota and metabolic profile as well as the regional immune function of C57BL/6 J mice
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Hawkmoths use wingstroke-to-wingstroke frequency modulation for aerial recovery to vortex ring perturbations
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Mixed-species groups of herbivorous reef fish show variable responses to ecosystem perturbations in the Lakshadweep Islands, India
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Data for: Detecting artificially impaired balance in human locomotion: metrics, perturbation effects and detection thresholds
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Data from: History-dependent perturbation response in limb muscle
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Heterothermy as a mechanism to offset energetic costs of environmental and homeostatic perturbations
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Long-term climate impacts of large stratospheric water vapor perturbations: Postprocessed WACCM data (Part 3)
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Comparative analysis of RNN versus IIR digital filtering to optimize resilience to dynamic perturbations in pH sensing for vertical farming
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Data from: Kinematic trajectories in response to speed perturbations in walking suggest modular task-level control of leg angle and length
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European badger (Meles meles) responses to low-intensity, selective culling: using mark recapture and relatedness data to assess social perturbation
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Data for: Kilohertz Transcranial Magnetic Perturbation (kTMP): A new non-invasive method to modulate cortical excitability
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Long-term climate impacts of large stratospheric water vapor perturbations: Postprocessed MiMA data (Part 2)
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Data from: Single-cell perturbation atlas of PTB prevention candidate drugs
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Data from: Dynamic simulations of microbial communitiesunder perturbations: opportunities formicrobiome engineering
<p>Input and output files of the application of our MDPbiomeGEM system (available at https://github.com/beatrizgj/MDPbiomeGEM) to different microbial communities, in particular from human gut microbiome and soil microbiome.</p> <p>Each case study (i.e. microbial community) has the following structure, corresponding to the different steps performed by our system MDPbiomeGEM:<br> 1. InputGEM: Genome-scale metabolic models (GEM) and medium composition<br> 2. OutputMMODES: simulated microbial community timeseries by MMODES<br> 3. MmodesToMDPbiome: transformation of output from MMODES in input to MDPbiome<br> 4. OutRobustClustering: identification of microbiome states<br> 5. OutputMDPbiome: output of MDPbiome, with prediction of microbiome state changes and interventions</p> <p>a. Human gut microbiome (BifFae): the microbes in this community are <em>Bifidobacterium adolescentis L2-32</em> (<em>i</em>Bif452) and <em>Faecalibacterium prausnitizii A2-135</em> (<em>i</em>Fap484), whose GEMs were taken from the original publication [El-Semman et al.,2014] (https://doi.org/10.1186/1752-0509-8-41). We upload here those GEMs adjusted to satisfy the scenario we model, that is described in our manuscript.</p> <p>b. Soil microbiome (Atrazine): the microbes in this community are <em>P. aurescens, H. stevensii</em>, <em>Halobacillus sp</em>. The GEMs used in this consortium were kindly provided by the authors of [Xu et al.,2019] (https://doi.org/10.1038/s41396-018-0288-5). Model construction was lead by Raphy Zarecki. With the exception of <em>P.aurescens TC1</em> [Ofaim et al.,2019] (http://dx.doi.org/10.1101/536011) they had not yet been made publicly available. With the permission of the authors of the original models [Xu et al.,2019], we upload here those GEMs adjusted to satisfy the scenario we model, that is described in our manuscript.</p> <p> </p> <p> </p>
Data from: Perturbation-evoked cortical responses associated with balance ability
<p><b>Background: </b>Reactive balance recovery evokes a negative peak of cortical electroencephalography (EEG) activity (N1) that is simultaneous to brainstem-mediated automatic balance-correcting muscle activity. This study follows up on an observation from a previous study, in which N1 responses were larger in individuals who seemed to have greater difficulty responding to support-surface perturbations. <b>Research Question: </b>We hypothesized that people engage more cortical activity when balance recovery is more challenging.<b> </b>We predicted that people with lower balance ability would exhibit larger cortical N1 responses during balance perturbations. <b>Methods: </b>In 20 healthy young adults (11 female, ages 19-38) we measured the amplitude of the cortical N1 response evoked by 48 backward translational support-surface perturbations of unpredictable timing and amplitude. Perturbations included a Small (8 cm) perturbation that was identical across participants, as well as Medium (13-15 cm) and Large (18-22 cm) perturbations scaled to participant height to control for height-related differences in perturbation difficulty. To assess individual differences in balance ability, we measured the distance traversed on a narrow (0.5-inch wide) 12-foot beam across 6 trials. We tested whether the cortical N1 response amplitude was correlated to balance ability across participants. <b>Results: </b>Cortical N1 amplitudes in response to standing balance perturbations (54±18 μV) were inversely correlated to the distance traveled in the difficult beam-walking task (R<sup>2</sup>=0.20, p=0.029). Further, there was a significant interaction between performance on the beam-walking task and the effect of perturbation magnitude on the cortical N1 response amplitude, whereby individuals who performed worse on the beam-walking task had greater increases in N1 amplitudes with increases in perturbation magnitude. <b>Significance:</b> Cortical N1 response amplitudes may reflect greater cortical involvement in balance recovery when challenged. This increased cortical involvement may reflect cognitive processes such as greater perceived threat or attention to balance, which have the potential to influence subsequent motor control.</p> <p> </p> <p>Note: This data set has also been appended to include additional data from the same data collection in the same participant cohort associated with the manuscript "<b>Cortical beta oscillatory activity evoked during reactive balance recovery scales with perturbation difficulty and individual balance ability</b>" submitted to NeuroImage</p>
Longitudinal Saliva Omics Responses to Immune Perturbation: A Case Study
<p>Online Data Files [ODFs] accompanying manuscript "Longitudinal Saliva Omics Responses to Immune Perturbation: A Case Study"</p>
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.