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30,334 results for “Responsiveness”
Local response and emerging nonlinear elastic length scale in biopolymer matrices
<p>Dataset corresponding to the underlying numerical and experimental data of the research article "Local response and emerging nonlinear elastic length scale in biopolymer matrices". </p> <p>This repository contains four categories of data, each contained in a folder: <br> - Fiber Network Simulations <br> - Finite Elements Simulations <br> - Optical Tweezer Experiments<br> - Traction Force Microscopy<br> In each folder, a README.txt document provides a detailed description of the content.</p> <p>We would like to acknowledge the support from the NIH (1R01GM140108), MathWorks, and the Jeptha H. and Emily V. Wade Award at the Massachusetts Institute of Technology. H.Y. acknowledges the MathWorks Mechanical Engineering Fellowship. M.G. acknowledges the Sloan Research Fellowship. This project received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement no. 891217 and the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), Project-ID 201269156 - SFB 1032 (Project B12) (E.B. and C.P.B.). P.R. is supported by France 2030, the French National Research Agency (ANR-16-CONV-0001), and the Excellence Initiative of Aix- Marseille University—A*MIDEX.</p>
Data from: Population divergence in heat and drought responses of a coastal plant: from metabolic phenotypes to plant morphology and growth
<p>This dataset supports the article "Population divergence in heat and drought responses of a coastal plant: from metabolic phenotypes to plant morphology and growth", which is under minor revision in Journal of Experimental Botany. The study addresses the combined effects of and plant population origin, drought and heat stress on plant growth, plant morphology and the leaf metabolome. The data were assessed in Northern and Southern European individuals of <em>Cakile maritma</em> (See Rocket). An R-script containing all statistical analyses that have been implemented with these data is also provided.</p>
Interaction matters: Bottom-up driver interdependencies alter the projected response of phytoplankton communities to climate change, links to model results
<p>This dataset provides the output of ten model simulations with the global ocean biogeochemical model FESOM-REcoM necessary to reproduce the findings of Seifert et al. (2023). In addition to information on the mesh, the dataset contains 5-year means of global phytoplankton biomass, chlorophyll, net primary production, growth rates, limitations, carbonate system parameters (dissolved inorganic carbon, CO2 partial pressure, total alkalinity), temperature, photosynthetically active radiation, and mixed layer depths.</p> <p>File names refer to the figures in the paper where the respective data are used. See “readme” for detailed information on the dataset and separate files.</p>
Survey responses - Drivers and barriers
<p>Raw responses to the survey 'Drivers and barriers to upgrade citizens’ communities to local energy communities' (30-04-2023)</p>
Corporate Social Responsibility & Students' Perceptions: Evidence from Indian Higher Education Institutions
<p>Table 1 - Methodology </p> <p>Table 2 - Affirmations on CSR under study</p> <p>Table 3 - Characterization of the Sample</p> <p>Table 4 - Factor Analysis Results</p> <p>Table 5 - Validation of the assumptions of MANOVA</p>
Data from: Predator response to the coloured eyespots and defensive posture of Colombian four-eyed frogs
<p><span>Deimatic displays, where sudden changes in prey appearance elicit aversive predator reactions, have been suggested to occur in many taxa. These (often only putative) displays frequently involve different components that may also serve antipredator functions via other mechanisms (e.g. mimicry, warning signalling, body inflation). The Colombian four-eyed frog, <em>Pleurodema</em> <em>brachyops</em>, has been suggested to gain protection against predation through putative deimatic displays where they inflate and elevate the posterior part of their body revealing eye-like colour markings. We exposed stationary artificial frogs to wild predators to test whether the two components (eyespot/colour markings, defensive posture) of their putative deimatic display, and their combination, provide protection from predation without the sudden change in appearance. We did not detect any obvious additive effect of defensive posture and eyespots/colour markings on predation risk but found a marginally-significant trend for model frogs in the resting posture to be less attacked when displaying eyespots/colour markings than when they were not, suggesting that the presence of colour markings/eyespots may provide some protection on its own. Additionally, we found that models in a resting posture were overall more frequently attacked on the head than models in a defensive posture, indicating that a defensive posture alone could help redirect predator attacks to non-vital parts of the body. The trends found in our study suggest that the different components of <em>P. brachyops</em>' coloration may serve different functions during a deimatic display, but further research is needed to elucidate the role of each component when accompanied by sudden prey movement.</span> </p>
Does V1 response suppression initiate binocular rivalry?
<p><strong>Using this dataset</strong></p> <p>As Cell Press authors, we share all of the data and original code we report in our paper with the research community. This dataset contains stimulus-locked multi-units responses for each recording session analyzed and reported in the associated manuscript at iScience.</p> <p>Please download and extract eventTriggeredData.zip into a file on your MATLAB path.</p> <p>For generating the figures reported in the manuscript, please use our custom MATLAB repository published on GitHub at: https://github.com/BrockMCarlson/BMC_AdaptdcosFigures.</p> <p>Download the GitHub repository, follow the setup instructions in the ReadMe, and run the Controller_iScienceSubmission.mlx live script. </p> <p>IDX_iScienceSubmission.mat, JASP_sustained.csv, & JASP_transient.csv are files created by Controller_iScienceSubmission.mlx. You do not need to download them, but they are included in this Zenodo directory for your reference.</p> <p> </p> <p><em><strong>Does V1 response suppression initiate binocular rivalry?</strong></em></p> <p><strong>HIGHLIGHTS</strong></p> <ul> <li>The role of primary visual cortex (V1) for binocular rivalry (BR) is unclear.</li> <li>V1 population spiking is reduced at the onset of BR, providing a potential trigger.</li> <li>However, this broad spiking suppression in does not occur for a variant of BR.</li> <li>The BR variant reduces subpopulation responses, a potential alternate trigger.</li> </ul> <p> </p> <p><strong>SUMMARY</strong></p> <p>In binocular rivalry (BR) only one’s view is perceived. The neural underpinnings of BR are debated. Recent studies suggest that primary visual cortex (V1) initiates BR. One such trigger might be response-suppression across most V1 neurons at the onset of BR. Here we utilize a variant of BR called binocular rivalry flash suppression (BRFS) to test this hypothesis. BRFS is identical to binocular rivalry, except stimuli are shown with a ~1s delay. If V1 response suppression was required to initiate BR, it should occur during BRFS as well. To test this hypothesis, we compared V1 spiking in two macaques observing BRFS. We found that BRFS resulted in response-facilitation rather than response-suppression across V1 neurons. However, BRFS still reduces responses in a subset of V1 neurons due to the adaptive effects of asynchronous stimulus presentation. We argue that this selective response suppression could serve as an alternate initiator of BR.</p>
Data and statistical analysis scripts for manuscript on pennycress roots & response to nitrate using 3D gel system
<p>Data and statistical analysis scripts for manuscript on pennycress roots & response to nitrate using 3Dgel system</p> <blockquote> <p><strong>A temporal analysis and response to nitrate availability of 3D root system architecture in diverse pennycress (<em>Thlaspi arvense</em> L.) accessions</strong> - [<a href="https://doi.org/10.3389/fpls.2023.1145389">https://doi.org/10.3389/fpls.2023.1145389</a>]</p> </blockquote> <p>The following files contains:</p> <ul> <li><code>gel_data_preprocessing_20221024.R</code> - R statistics script for pre-processing data files from 3Dgel system GIARoots & DynamicRoots raw output</li> <li><code>gel_dataprocessing_20221229.R</code> - R statistics script for data processing of pre-processed 3D gel data</li> <li><code>TaGNS_N_Spring32.zip</code> - CSV data files and R statistics script for Spring32 grown under high, low, trace and zero N treatments.</li> <li><code>TaGNE_N_Accessions.zip</code> - CSV data files and R statistics script for 3 accessions under high and trace N treatments.</li> <li><code>TaGAA_N_Accessions.zip</code> - CSV data files and R statistics script for 24 diverse pennycress lines grown under high N conditions.</li> </ul>
Behavioral responses of terrestrial mammals to COVID-19 lockdowns
<p>COVID-19 lockdowns in early 2020 reduced human mobility, <span>providing an opportunity to disentangle its effects on animals from those of landscape modifications. Using GPS data, we compared movements and road avoidance of 2300 terrestrial mammals (43 species) during the lockdowns to the same period in 2019. Individual responses were variable, with no change in average movements or road avoidance behavior, likely due to variable lockdown conditions. However, under strict lockdowns, 10-day 95th percentile displacements increased by 73%, suggesting increased landscape permeability. Animals' 1-hour 95th percentile displacements declined by 12%, and animals were 36% closer to roads in areas of high human footprint, indicating reduced avoidance during lockdowns. Overall, lockdowns rapidly altered some spatial behaviors, highlighting variable but substantial impacts of human mobility on wildlife worldwide.</span></p>
Figure 5 in Response of marine microalgae Phaeodactylum tricornutum, Prorocentrum cordatum and Gyrodinium fissum to complex pollution of Sevastopol bays (Black Sea)
Figure 5. Influence of the polluted waters of the Sevastopol area to P. tricornutum (I), P. cordatum (II) and G. fissum (III): a) – inhibition effect, b) stimulated effect and c) absence of effect.
Figure 4 in Response of marine microalgae Phaeodactylum tricornutum, Prorocentrum cordatum and Gyrodinium fissum to complex pollution of Sevastopol bays (Black Sea)
Figure 4. Dynamics of the cells abundance in the cultures of P. tricornutum (a), P. cordatum (b) and G. fissum (c) in control (1), on the water of the mussel farm area (2), Artillery Bay (3) and Sevastopol Bay (4) in October 2020.
Figure 1 in Response of marine microalgae Phaeodactylum tricornutum, Prorocentrum cordatum and Gyrodinium fissum to complex pollution of Sevastopol bays (Black Sea)
Figure 1. Map of the seawater sampling stations location: 1 – mussel farm area, 2 – Artillery Bay, 3 – Sevastopol Bay.
Figure 3 in Response of marine microalgae Phaeodactylum tricornutum, Prorocentrum cordatum and Gyrodinium fissum to complex pollution of Sevastopol bays (Black Sea)
Figure 3. Dynamics of the cells abundance in the cultures of P. tricornutum (a), P. cordatum (b) and G. fissum (c) in control (1), on the water from the mussel farm area (2), Artillery Bay (3) and Sevastopol Bay (4) in September 2020.
Figure 4 in Modeling Demographic Response to Constant Temperature inBryobia rubrioculus (Acari: Tetranychidae)
Figure 4.Age–specific survival rate (lx), female age–specific fecundity (fx8), age–specific fecundity (mx), and agespecific maternity (lxmx) ofB. rubrioculusat five constant temperatures.
Figure 2 in Modeling Demographic Response to Constant Temperature inBryobia rubrioculus (Acari: Tetranychidae)
Figure 2.Observed Age-specific survival rate (lx) and Observed age–specific fecundity (mx) ofBryobia rubrioculus at five constant temperatures fitted to the Weibull's and Polynomial's estimates respectively.
Figure 3 in Modeling Demographic Response to Constant Temperature inBryobia rubrioculus (Acari: Tetranychidae)
Figure 3.Age–stage specific survival rate (sxj) ofBryobia rubrioculus at five constant temperatures.
6 DoF Directional Room Impulse Response Dataset Measured over a Dense Loudspeaker Grid (6DRIR-DL)
<p>The 6DoF directional RIR dataset (aka <strong>6DRIR-DL</strong>) includes room impulse responses (RIRs) measured by <strong>nine</strong> spherical microphone arrays (SMAs; Zylia ZM-1S) distributed in a semi-cuboid room. <strong>6DRIR-DL</strong> is specialized by its massive loudspeaker positions (<strong>392</strong> locations), which were incorporated for the 6DOF source localization task. The inter-element spacing between loudspeakers is only 8 cm, so the dataset can be utilized to validate a sound source localization algorithm for closely positioned multiple sound sources.</p>
Data for: Environmental responses of fruiting fungal communities are phylogenetically structured
<p class="MsoNormal"><span>Through their ephemeral reproductive structures (fruiting bodies), ectomycorrhizal forest soil fungi provide a resource for a plethora of organisms. Thus, resolving what biotic and abiotic factors determine the occurrence and abundance of fruiting bodies is fundamental for understanding the dynamics of forest trophic networks. While the influence of abiotic factors such as moisture and temperature on fungal fruiting are relatively well established, little is known about how these processes interact with the evolutionary history of fungal species to determine when, where, and in which abundance fungal fruiting bodies will emerge. A specific knowledge gap relates to whether species' responses to their environment are phylogenetically structured. Here, we ask whether related fungal taxa respond similarly to climatic factors and forest habitat characteristics, and whether such correlated responses will affect the assembly of fungal fruiting communities. To resolve these questions, we fitted joint species distribution models combining data on the species composition and abundance of fungal fruiting bodies, environmental variation, and phylogenetic relationships among fungal taxa. Our results show that both site-level forest characteristics (dominant tree species and forest age) and climatic factors related to phenology (effective heat sum) greatly influence the occurrence and abundance of fruiting bodies. More importantly, while different fungal species responded unequally to their shared environment, there was a strong <span>phylogenetic signal in their responses, so that related fungal species tended to fruit under similar environmental conditions. </span>Thus, not only are fruiting bodies short-lived and patchily distributed, but the availability of similar resources will be further aggregated in time and space. These strong constraints on resource availability for fungus-associated taxa highlight the potential of fungus-based networks as a model system for studies on the ecology and evolution of resource–consumer relations in ephemeral systems of high spatiotemporal patchiness.</span></p>
Data set from long-term wave, wind and response monitoring of the Bergsøysund Bridge
<p>Wind, wave, displacement and acceleration data have been collected in a measurement campaign on the Bergsøysund Bridge between the years 2014 and 2018. The data set is now available in this open-access research entry, for free access and download. The data is collected in two h5-files (hierachical data format), with sampling rates 2 Hz and 10 Hz, downsampled from the raw sampling rate of 200 Hz. Note that the data has undergone some minimal signal processing and adjustment, in line with that applied to the Hardanger Bridge data described in Fenerci et al. (2021). Tools and examples for import, data visualization and initial analysis are given in the opyndata Python package available on GitHub (Kvåle, 2022). Furthermore, a document briefly describing the hierarchy and structure of the data, is given. For more details on the measurement system and the bridge, it is referred to Kvåle and Øiseth (2017).</p> <p>The updated, copyrighted version of the appended preprint is published by ASCE with the following DOI: <a href="https://doi.org/10.1061/JSENDH.STENG-12095">10.1061/JSENDH.STENG-12095</a></p>
Cancer-specific association between Tau (MAPT) and cellular pathways, clinical outcome, and drug response
<p>To bring new evidence that Tau represents a key protein in cancer, we present an <em>in silico</em> pan-cancer analysis of <em>MAPT</em> transcriptomic profile in over 10000 clinical samples and over 1300 pre-clinical samples provided by the TCGA and the DEPMAP datasets respectively.</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.