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30,334 results for “Responsiveness”
A novel phosphoproteomic landscape evoked in response to type I interferon in the brain and in glial cells
<p>Type I interferons (IFN-I) are key responders to central nervous system infection and injury. They mediate their effects primarily via transcriptional regulation of several hundred interferon-regulated genes. Using a mouse model for IFN-I-induced neurodegeneration, we identified widespread protein phosphorylation as a new mechanism by which IFN-I mediate their effects. Protein phosphorylation aligned with the clinical hallmarks and pathological outcome, including impaired development, motor dysfunction and seizures. <em>In vitro</em> experiments revealed extensive and rapid IFN-I-induced protein phosphorylation in microglia and astrocytes, the brain’s primary IFN-I-responding cells. Response to acute IFN-I stimulation was independent of gene expression and mediated by a small number of kinase families. The changes in the phosphoproteome affected a diverse range of cellular processes and functional analysis suggested that this response induced an immediate reactive state and prepared cells for subsequent transcriptional responses. Our studies reveal a hitherto unappreciated role for changes in the protein phosphorylation landscape in cellular responses to IFN-I and thus provide insights for novel diagnostic and therapeutic strategies for neurological diseases caused by IFN-I.</p>
Supplementary Data -A STUDY ON SOME STRUCTURAL FEATURES RESPONSIBLE FOR SARS-COV-2 INFECTION FATALITY
<p>A correlation between hydrodynamic properties like radius of gyration ( Rg ) vs Molecular weight of spike protein of SARS - COV-2 biopolymers .</p>
Low-level updraft intensification in response to environmental wind profiles
<p>Supercell storms can develop a "dynamical response" whereby upward accelerations in the lower troposphere amplify as a result of rotationally induced pressure falls aloft. These upward accelerations likely modulate a supercell's ability to stretch near-surface vertical vorticity to achieve tornadogenesis. This study quantifies such a dynamical response as a function of environmental wind profiles commonly found near supercells. Self-organizing maps (SOMs) were used to identify recurring low-level wind profile patterns from 20,194 model-analyzed, near-supercell soundings. The SOM nodes with larger 0–500 m storm-relative helicity (SRH) and streamwise vorticity (ω<sub>s</sub>) corresponded to higher observed tornado probabilities. The distilled wind profiles from the SOMs were used to initialize idealized numerical simulations of updrafts. In environments with large 0–500 m SRH and large ω<sub>s</sub>, a rotationally induced pressure deficit, increased dynamic lifting, and a strengthened updraft resulted. The resulting upward-directed accelerations were an order of magnitude stronger than typical buoyant accelerations. At 500 m AGL, this dynamical response increased the vertical velocity by up to 25 m s<sup>–1</sup>, vertical vorticity by up to 0.2 s<sup>–1</sup>, and pressure deficit by up to 5 hPa. This response specifically augments the near-ground updraft (the midlevel updraft properties are almost identical across the simulations). However, dynamical responses only occurred in environments where 0–500 m SRH and ω<sub>s</sub> exceeded 110 m<sup>2</sup> s<sup>–2</sup> and 0.015 s<sup>–1</sup>, respectively. The presence vs. absence of this dynamical response may explain why environments with higher 0–500 m SRH and ω<sub>s</sub> correspond to greater tornado probabilities.</p>
Multiple sequence alignments of sensor histidine kinases and response regulators
<p>The two FASTA files contain multiple sequence alignments of sensor histidine kinase and response regulator sequences. The source sequences were obtained by BLAST, clustered with usearch and aligned with muscle. More details to be found in Multamäki et al. 2021.</p>
Surveying the communities of users of MATLAB and similar languages (Responses)
<p>This upload includes responses gathered from a survey applied to the users of MATLAB and its clone languages. It covers the participants' programming experience, how they interact with these languages, the importance they give to the reusability of their programs, object-oriented programming and how satisfied they are with these languages.</p>
Dataset for "Long-term extreme response of an offshore turbine: How accurate are contour-based estimates?"
<p>Datasets belonging to the paper "Long-term extreme response of an offshore turbine: How accurate are<br> contour-based estimates?" by Haselsteiner, Frieling, Mackay, Sander and Thoben.</p> <p>Available are:<br> * A 1000-year time series of hourly environmental conditions<br> * 516 1-hour time series of the mudline overturning moment, simulated using openFAST</p> <p> </p>
Figure 7 in A conservation palaeobiological approach to assess faunal response of threatened biota under natural and anthropogenic environmental change
Figure 7. Box plots show the distribution of relative abundances of the associations across the six facies types.
Figure 3 in A conservation palaeobiological approach to assess faunal response of threatened biota under natural and anthropogenic environmental change
Figure 3. Sampling locations of three expeditions in 2015–2017. The first (September–October 2015) and second expeditions (July 2016) were searching for living Pontocaspian molluscs in particular. The third expedition consisted of six transects sampled by GeoEcoMar in 2017 in search of any living mollusc. In the legend w/wo means with or without.
Figure 1 in A conservation palaeobiological approach to assess faunal response of threatened biota under natural and anthropogenic environmental change
Figure 1. Location of study area along the Romanian Black Sea coast with core locations indicated by black stars. (a) Danube Delta and RSL (modified after Vespremeanu-Stroe et al., 2017). (b) RSL bathymetry with location of study cores (modified after Dimitriu et al., 2008). Two current marine outlets are indicated by white arrows; a third outlet (Gura Portiţa) was closed in the 1970s and is indicated by a dashed white arrow.
Figure 6 in A conservation palaeobiological approach to assess faunal response of threatened biota under natural and anthropogenic environmental change
Figure 6. Overview of the 20 most abundant mollusc species grouped according to the results of Kendall's W coefficient of concordance (for k = 4). (a) Valvata piscinalis (RGM.1309841, Core C7, depth 6 cm). (b) Dreissena polymorpha (RGM.1309827, C7 – 6 cm). (c) Dreissena bugensis (RGM.1309846, C5 – 18 cm). (d) Adacna fragilis (RGM.1309835, C2 – 18 cm). (e) Monodacna colorata s.l. (RGM.1309823, C7 – 14 cm). (f) Rissoa membranacea (RGM.1309830, C3 – 48 cm). (g) Hypanis plicata (RGM.1309845, C9 – 3 cm). (h) Clathrocaspia knipowitschii (RGM.1309843, C11 – 102 cm). (i) Mytilaster minimus (RGM.1309838, C3 – 24 cm). (j) Ecrobia maritima (RGM.1309831, C3 – 48 cm). (k) Cerastoderma glaucum (RGM.1309844, C13 – 24 cm). (l) Abra segmentum (RGM.1309821, C1 – 48 cm). (m) Parthenia interstincta (RGM.1309832, C3 – 48 cm). (n) Lentidium mediterraneum (RGM.1309837, C4 – 12 cm). (o) Retusa truncatula (RGM.1309828, C2 – 42 cm). (p) Gyraulus crista (RGM.1309840, C5 – 54 cm). (q) Potamopyrgus antipodarum (RGM.1309836, C2 – 18 cm). (r) Lithoglyphus naticoides (RGM.1309842, C5 – 18 cm). (s) Theodoxus fluviatilis (RGM.1309826, C11 – 66 cm). (t) T. fluviatilis (RGM.1309824, C11 – 78 cm). (u) Theodoxus danubialis (RGM.1309839, C3 – 24 cm). (v) T. danubialis (RGM.1309834, C2 – 30 cm). Scale bars are 1 mm.
Figure 2 in A conservation palaeobiological approach to assess faunal response of threatened biota under natural and anthropogenic environmental change
Figure 2. Overview of core data. From left to right each core: core photograph, lithology, facies, fauna relative abundance per species group based on origin, evolution and estimated palaeosalinities.
Figure 5 in A conservation palaeobiological approach to assess faunal response of threatened biota under natural and anthropogenic environmental change
Figure 5. NMDS ordination plot of species compositions across samples grouped into lake regions (stress = 0.173). Optimum salinity and grain size were fitted as two-dimensional smooth surfaces to illustrate the associations with species composition. Species are marked with numbers: 1 – Planorbis planorbis, 2 – Clathrocaspia knipowitschii, 3 – Potamopyrgus antipodarum, 4 – Theodoxus danubialis, 5 – Planorbarius corneus, 6 – Abra segmentum, 7 – Rissoa membranacea, 8 – Valvata macrostoma, 9 – Hypanis plicata, 10 – Mytilaster minimus, 11 – Ecrobia maritima, 12 – Parthenia interstincta, 13 – Cerastoderma glaucum and 14 – Lentidium mediterraneum.
Figure 8 in A conservation palaeobiological approach to assess faunal response of threatened biota under natural and anthropogenic environmental change
Figure 8. Snapshot reconstructions of the evolution of the RSL and their mollusc biota. The names of major sand barriers are indicated in yellow, while those of deltaic lobes are in black. The names in parentheses and italic font are currently inactive lobes. Pie charts indicate the relative abundance of the three associations in the time interval of ±50 years of the indicated snapshot: blue – Association I (freshwater); green – Association II (Pontocaspian), orange – Association III (marine), grey – rest of the group. Water colours indicate a salinity gradient: blue is Black Sea influence (18 psu); green is river influence (0 psu). Note the freshening of the system and according changes in species associations with the decreasing influence of mesohaline waters from the Black Sea.
Figure 4 in A conservation palaeobiological approach to assess faunal response of threatened biota under natural and anthropogenic environmental change
Figure 4. Spatiotemporal salinity variations in the RSL. For each sample, the salinity was calculated by weighted averaging of the species' optimum salinities. Salinity categories adapted from Strydom et al. (2003). Snapshots referred to in the Discussion are indicated with letters A–F.
Dataset for article: Perakakis P., Idrissi S., Vila J., Ivanov Ch.P. (2012). Dynamical patterns of human postural responses to emotional stimuli. Psychophysiology, 49 (9), pp. 1225–1229
<p>Dataset for article: Perakakis P., Idrissi S., Vila J., Ivanov Ch.P. (2012). Dynamical patterns of human postural responses to emotional stimuli. Psychophysiology, 49 (9), pp. 1225–1229</p>
Supporting data: Grain-dependent responses of mammalian diversity to land-use and the implications for conservation set-aside
<p>Camera trap and live trap datasets underlying the analyses in an <em>Ecological Applications </em>paper (http://onlinelibrary.wiley.com/doi/10.1890/15-1363/abstract), provided in .csv format. Each row consists of a single trap night at a given location, with species in different columns. Old-growth forest, logged forest and oil palm plantation locations have the prefixes "Old", "Log" and "Palm", respectively. Values in each cell are the number of independent captures, as defined in the paper. </p>
Experimental data, Periodic responses of a structure with 3:1 internal resonance
<p>Dataset for</p> <p>Alexander D Shaw; Thomas L Hill; Simon A Neild; Michael I Friswell</p> <p>Periodic responses of a structure with 3:1 internal resonance</p> <p>MSSP, in press (as of 18/3/2016)</p> <p>10.1016/j.ymssp.2016.03.008</p> <p> </p>
Binaural room impulse responses of a 5.0 surround setup for different listening positions
<p>Binaural Room Impulse Responses - KEMAR, room Calypso, TU Berlin, 5.0 Surround setup<br /> </p> <p>This dataset contains binaural room impulse responses (BRIRs) measured at nine<br /> different listening positions for a 5.0 surround setup in the listening room<br /> Calypso in the Telefunken building of Technische Universität Berlin, Berlin,<br /> Germany. The room has a volume of 83 m³ and a reverberation time RT60 of 0.17 s<br /> at a frequency of 1 kHz.</p> <p>"doc.zip" contains additional information for the measurement,<br /> "*.sofa" are the actual BRIRs, one file for every listening position, where the<br /> position is indicated by the X*-Y*-values.<br /> In order to work with those files you need a SOFA API for your programming<br /> language. For example, the one for Matlab can be found here:<br /> https://github.com/sofacoustics/API_MO/releases/latest<br /> If you want to create a single SOFA file containing all listening positions, you<br /> can execute the "combine_positions.m" script in Matlab after installing and<br /> starting the SOFA API.</p> <p>The BRIRs were with a head-orientation varying in the range of +-90° with 1°<br /> resolution. Room shape and size, listener and sound source positions are shown<br /> in "setup_calypso_surround_genelec8030A.pdf".</p> <p>Directory "./photos" contains photographs of the measurement setup.</p> <p>Copyright 2016 Hagen Wierstorf</p> <p>Licensed under Creative Commons (CC-BY-4.0)</p>
Head-related impulse responses of a loudspeaker array
<p>Head-related impulse responses measured with a KEMAR dummy head of a loudspeaker array consisting of 13 loudspeakers. The dummy head was placed at three different positions, which allows to combine the measurements to an loudspeaker array consisting of 35 loudspeakers.</p> <p>The measurement equipment was exactly the same as in http://dx.doi.org/10.5281/zenodo.55418</p>
Mechanical Response of Foams: Elasticity, Plasticity, and Rearrangements (Supplemental Material)
<p>Supplemental material to <a href="https://openaccess.leidenuniv.nl/handle/1887/40902"><em>Mechanical Response of Foams: Elasticity, Plasticity, and Rearrangements</em>; hdl:1887/40902</a>. The supplemental material consists of 9 videos:</p> <p><strong>S1, S2</strong><br /> Two examples of foam under shear, φ = 0.85 (S1) and φ = 1.25 (S2). The foam is sheared from s<sub>CD</sub> = − 0.2 to s<sub>CD</sub> = + 0.2 at γ̇=3 × 10<sup>−5</sup> /s. Time and a scale bar are indicated in the top right; the video is sped up 250× .<br /> <br /> <strong>S3,S4</strong><br /> Difference imaging for direct (top) and affine-corrected (bottom) images, for the same systems as in S1 and S2. Both the real space (left) and difference images (right) are shown. The direct difference images are dominated by the affine deformation, while the affine-corrected difference images highlight the nonaffine motion in the system.</p> <p><strong>S5,S6</strong><br /> Tracked particle trajectories for the same systems as in S1 and S2. Particle trajectories are indicated using white curves. Left: direct tracking data, right: affine-corrected tracking data.</p> <p><strong>S7</strong><br /> Compression of a foam from φ = 0.77to φ = 1.41 under ε̇ = − 3 × 10<sup>−5</sup> /s. (left) Real space image; (right) from top to bottom: flame graph and log<sub>10</sub> A and β from the power law fit Eq. (4.21). Time is indicated on the top left, φ is indicated at the bottom left. With increasing confinement, we observe a transition from fully smooth to fully intermittent behavior.</p> <p><br /> <strong>S8,S9</strong><br /> Two examples of foam under shear, φ = 0.9 (S8) and φ = 1.5 (S9). The foam is sheared from s<sub>CD</sub> = −0.2 to s<sub>CD</sub> = +0.2 at γ̇=3 × 10<sup>−5</sup> /s. At low density, A ≈ 10<sup>−6</sup> and β ≈ 1.6 are fairly constant, while we can clearly distinguish the quiet and active periods for the high density foam.</p>
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.