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30,334 results for “Responsiveness”
Experimental gust response and flutter test of a wing with a fixed and a hinged wingtip
<p>Gust responses and flutter test of a wing with a hinged and a fixed wingtip. The experiments were performed at the Swansea University wind tunnel by Davide Balatti as part of his research. Additional information in:</p> <p>[1] D. Balatti, H.H. Khodaparast, M.I. Friswell, & M. Manolesos (2022). Aeroelastic model validation through wind tunnel testing of a wing with hinged wingtip. In International Forum on Aeroelasticity and Structural Dynamics (IFASD), Madrid (https://www.researchgate.net/publication/361418631_AEROELASTIC_MODEL_VALIDATION_THROUGH_WIND_TUNNEL_TESTING_OF_A_WING_WITH_HINGED_WINGTIP)</p> <p>[2] Balatti, D., Khodaparast, H. H., Friswell, M. I., Manolesos, M., & Castrichini, A. Improving gust load alleviation performance of hinge wingtip using validated aeroelastic models. <em>Available at SSRN 4258795</em>.(https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4258795)</p>
Original .tif files for "Land snails can trap trematode cercariae in their shell: encapsulation as a general response against parasites?"
<p>In our article "Land snails can trap trematode cercariae in their shell: encapsulation as a general response against parasites?", we use photographic evidence to demonstrate the ability of snails to trap trematodes in their shells. Here we archive the tif files that make up our Figure 1 for this paper, for browsing at higher resolutions than on the published article.</p> <p>Below a (slightly edited) copy of the figure legend:</p> <p>"Backlit views of metazoan parasites trapped in the shell of Cornu aspersum: trematode cercariae (Fig1A.tif, Fig1B.tif, Fig1C.tif), and nematode (Fig1D.tif). Small cracks of the inner shell layer (Fig1B.tif) can be seen above the cercariae and were considered as indicative of damage on the shell after it covered cercariae. Note the accumulation of dark adhering cells around or above the parasites in both cases of cercariae (Fig1C.tif) and nematode (Fig1D.tif)."</p>
Peripheral MC1R activation modulates immune responses and confers neuroprotection in a mouse model of Parkinson's disease
<p>Raw data sets for the manuscripts</p> <p>This work was supported by NIH grants R01NS102735 and R01NS110879, the Farmer Family Foundation Initiative for Parkinson’s Disease Research and the MJFF and ASAP [ASAP-000312].</p>
BinauRec: A dataset to test the influence of the use of room impulse responses on binaural speech enhancement
<p>BinauRec is a dataset for binaural speech enhancement. It is composed of real recordings, measured and simulated room impulse responses for the same audio scenes. Measurements are realized using behind-the-ears hearing aid shells, with and without a dummy head.</p>
MOM6-COBALTv2 model result for ecosystem response to marine heat waves
<p>0.5 × 0.5 resolution, Northeast Pacific ocean (184.8-120.2W, 28.06-64.97N). Monthly results from 1958-2019, all detrended with linear trend over full period removed. </p>
Data from: Shifts in ground-dwelling predator communities in response to changes in management intensity in Alpine meadows
<p>Here, we provide raw abundance data from a small-scale case study on the effects of management intensity on ground-dwelling macro-invertebrate communities in extensively and intensively managed hay meadows in South Tyrol, Italy. The fauna was sampled with the pitfall trap methods in two seasons (autumn 2018 and spring 2019). The predatory groups Araneae, Opiliones, Carabidae, Staphylinidae, and Formicidae were identified to species level, the rest – where possible – to family level.</p> <p>The data can be found as absolute numbers (i.e., individuals per pitfall trap) and as standardised numbers (i.e., individuals per sampling day). Additionally, we provide ecological species traits on rarity (for the area of South Tyrol), moisture requirements and ecological tolerance, as well as the Red List statuses.</p>
Corticolimbic Response to Threat and Recollected Ages of Exposure to Childhood Maltreatment
<p>Data files indicating regional BOLD fMRI response of young adults to negative (angry or fearful) faces versus neutral faces in Hariri amygdala activation face matching task.</p> <p>MACE_scores_BOLD_fMRI_amyg_hipp.csv - Contains overall BOLD fMRI response to negative minus neutral faces in bilateral amygdala, hippocampus, fusiform gyrus, inferior frontal gyrus pars triangularis, ventromedial prefrontal cortex, dorsomedial prefrontal cortex and anterior cingulate cortex as well as Maltreatment and Abuse Chronology of Exposure scores for severity of exposure to 10 types of childhood maltreatment across each age of childhood and parameters for age, sex, parental education and childhood financial sufficiency.</p> <p>Early_vs_late_maltreatment_BOLD_fMRI_amyg_hipp_pfc_fusiform_for_mixed_model.xlsx - Data in long format indicating for each participant baseline adjusted BOLD fMRI response to negative minus neutral faces at each TR interval for amygdala, hippocampus, fusiform gyrus, inferior frontal gyrus pars triangularis, ventromedial prefrontal cortex, dorsomedial prefrontal cortex and anterior cingulate cortex with participants classified as having experienced no maltreatment, only early childhood maltreatment on only late childhood maltreatment based on type / time predictors for each region.</p> <p>Early_vs_late_maltreatment_regional_fMRI_response_negative_vs_neutral_faces.xlsx - Individual participant baseline adjusted data for response to negative faces and neutral faces at each TR interval for amygdala, hippocampus, fusiform gyrus, inferior frontal gyrus pars triangularis, ventromedial prefrontal cortex, dorsomedial prefrontal cortex and anterior cingulate cortex with each participant classified as having experienced no maltreatment, only early childhood maltreatment or only late childhood maltreatment based on region specific definitions.</p> <p>Early_vs_late_maltreatment_time_course_BOLD_fMRI_regional_response.xlsx - Group means and sem for baseline adjusted BOLD fMRI response to negative minus neutral faces at each TR interval for amygdala, hippocampus, fusiform gyrus, inferior frontal gyrus pars triangularis, ventromedial prefrontal cortex, dorsomedial prefrontal cortex and anterior cingulate cortex based on region specific groupings classifications as having experienced no maltreatment, only early childhood maltreatment on only late childhood maltreatment.</p> <p>Early_vs_late_maltreatment_time_course_regional_response_negative_vs_neutral_faces.xlsx - Group means and sem for baseline adjusted BOLD fMRI response to negative faces and neutral faces at each TR interval for amygdala, hippocampus, fusiform gyrus, inferior frontal gyrus pars triangularis, ventromedial prefrontal cortex, dorsomedial prefrontal cortex and anterior cingulate cortex based on region specific groupings classifications as having experienced no maltreatment, only early childhood maltreatment on only late childhood maltreatment.</p> <p> </p>
Dataset of image processing - High-throughput characterization of cortical microtubule arrays response to anisotropic tensile stress
<p>The data set contains the analysis data files from the image analysis workflow developed to quantify cortical microtubules rearrangements in the case of tensile stress (<a href="https://github.com/VergerLab/MT_Angle2Ablation_Workflow">https://github.com/VergerLab/MT_Angle2Ablation_Workflow</a>), generated form a specific dataset (https://doi.org/10.5878/17te-jg54). The files include the intermediary images processed at each step of the image analysis workflow in imageJ, the log files produced by the imageJ macro describing the input and the output images and the text files containing the quantified values. </p>
Animation video on responsible research and innovation (RRI)
<p>This is a short animation video about responsible research and innovation. Watch it here: https://youtu.be/fOG5U2QweBo</p> <p>In research guided by responsible research and innovation (RRI), members of society work with scientists to align both the entire research process and its results with societal needs. The researcher and the research institute or research funder turn openly to citizens and involve the relevant societal actors in formulating research questions and collecting and analysing data. In RRI-guided research, scientists never forget to ask themselves: will our research do good to society and the Earth? What will its long-term social, ethical, and ecological consequences be? If a researcher or research-performing organisation integrates responsibility into their work, they will feel more useful and impactful in their profession, all in order to improve the lives of their fellow human and non-human beings. For this reason, it is important for researchers to reflect on their own organisational operations and change their daily routines. This is exactly what the Co-Change Project started to experiment with. In order to raise awareness of RRI, the project initiated ongoing deliberation within and beyond its own organisations through discussing ethics, gender, and open-science-related topics that engage all units that deal with research and innovation, as well as involving external experts and stakeholders in co-creating change.</p> <p> </p>
Germination of crop species in response to whole-soil inoculants that originate from conventional vs organic farming systems
<p>Dataset of manuscript entitled “Germination of crop species in response to whole-soil inoculants that originate from conventional vs organic farming systems”. This manuscript includes the results of WP2 from the SOFT project (ref. 890874).</p>
Soil microbial community coupling network in response to diversified crop rotations
<p>Dataset of manuscript entitled “Soil microbial community coupling network in response to diversified crop rotations”. This manuscript includes the results of WP3 from the SOFT project (ref. 890874).</p>
Stimuli Responsive and Antimicrobial Cellulose-Chitosan Hydrogels Containing Polydiacetylene Nanosheets
<p>Hydrogels were prepared by esterification of chitosan (Cs) with monochloroacetic acid to produce CMCs which was then crosslinked to HEC using citric acid as the crosslinking agent. To impart a stimuli responsiveness property to the hydrogels, polydiacetylene-zinc oxide (PDA-ZnO) nanosheets were synthesized in-situ during the crosslinking reaction followed by photopolymerization of the resultant composite. First, 10,12-pentacosadiynoic acid (PCDA) head groups were stabilized with ZnO nanoparticles in the presence of CMCs-HEC hydrogels in petroleum ether. This was followed by irradiating the composite with Uv radiation to photopolymerize the PCDA to PDA within the hydrogel matrix so as to impart thermal and pH responsiveness to the hydrogel</p>
Spectral response of disorder-free localized lattice gauge theories
<p>Raw data for all figures in the manuscript "Spectral response of disorder-free localized lattice gauge theories"</p>
Data for: Mercury contamination challenges the behavioral response of a keystone species to Arctic climate change
<p>Combined effects of multiple, climate change-associated stressors are of mounting concern, especially in Artic ecosystems. Elevated mercury (Hg) exposure in Arctic animals could affect behavioural responses to changes in foraging landscapes linked to climate change, generating interactive effects on behaviour and population resilience. We investigated this hypothesis in the little auk (<em>Alle alle</em>), a keystone Artic seabird. We compiled behavioural data using accelerometers, and quantified blood mercury and environmental conditions (sea surface temperature (SST), sea ice coverage (SIC)) across multiple years. These datasets contain the behavioral, blood Hg and environmental data (SST, SIC) used in our analyses. Details about the datasets are found in the accompanying word document.</p>
Tumor MHC Class I Expression Associates with Interleukin-2 Response in Melanoma
<p>The processed multiplexed IF data and sample ID corresponding to the raw data in record (https://zenodo.org/record/4300912#.Y-WGBuzMKY-). All code used to produce the results of this study are available at <a href="https://github.com/cBio-MSKCC/Halo_Melanoma_IL2">https://github.com/cBio-MSKCC/Halo_Melanoma_IL2</a>.</p>
Revisiting Interior Water Mass Responses to Surface Forcing Changes and the Subsequent Effects on Overturning in the Southern Ocean
<p>This dataset contains processed model data used in</p> <p>Tesdal, J.-E., A. MacGilchrist, G., Beadling, R. L., Griffies, S. M., Krasting, J. P., & Durack, P. J. (2023). Revisiting interior water mass responses to surface forcing changes and the subsequent effects on overturning in the Southern Ocean. Journal of Geophysical Research: Oceans, 128, e2022JC019105. <a href="https://doi.org/10.1029/2022JC019105">https://doi.org/10.1029/2022JC019105</a>.</p> <p>The above publication uses two coupled climate models (AOGCMs), GFDL-CM4 and GFDL-ESM4, to assess the impact of perturbations in wind stress and Antarctic ice sheet melting on the Southern Ocean meridional overturning circulation (SO MOC) and associated water mass transformations (WMT).</p> <p>The attached archive includes netCDF files to recreate all figures and tables in <a href="https://doi.org/10.1029/2022JC019105">Tesdal et al. (2023)</a>, including overturning streamfunction (moc), volume storage change (dVdt), surface water mass transformation (swmt), meridional volume transports (mvt) zonal mean potential density referenced to 2000 dbar (sigma2) and mixed layer depth (mld). These variables are derived from preindustrial control (piControl) and idealized perturbation runs of Antarctic melting (Antwater), wind stress (Stress), as well as the combination (Antwater-Stress) using the Flux-Anomaly-Forced Model Intercomparison Project (FAFMIP) protocol.</p> <p>The FAFMIP protocol (<a href="https://doi.org/10.5194/gmd-9-3993-2016">Gregory et al., 2016</a>) involves adding perturbations to the surface fluxes that are computed within the atmosphere-ocean general circulation model (AOGCM) from the state of the system (<a href="https://doi.org/10.1029/2005JC003421">Lowe and Gregory, 2006</a>; <a href="https://doi.org/10.1088/1748-9326/9/3/034004">Bouttes and Gregory, 2014</a>). The perturbations in this dataset were technically added as a flux adjustment similar to that formerly used in AOGCMs (<a href="https://doi.org/10.1007/BF01053472">Sausen et al., 1988</a>).</p> <p>The data files contain processed model output and do not include any raw model output. Model data from the piControl runs of CM4 and ESM4 are available at the Earth System Grid Federation archive (<a href="https://esgf-node.llnl.gov/projects/cmip6">https://esgf-node.llnl.gov/projects/cmip6</a>). The forcing fields (perturbations) used in the perturbation experiments can be found at <a href="https://github.com/becki-beadling/Beadling_et_al_2022_JGROceans">https://github.com/becki-beadling/Beadling_et_al_2022_JGROceans</a>. Python scripts and Jupyter notebooks to reproduce the tables and figures can be accessed at <a href="https://github.com/jetesdal/Tesdal_et_al_2023_JGROceans">https://github.com/jetesdal/Tesdal_et_al_2023_JGROceans</a>.</p> <p><strong>Contents</strong>:</p> <ul> <li>Overturning streamfunction (moc)</li> <li>Volume storage change (dVdt)</li> <li>Surface water mass transformation (swmt)</li> <li>Meridional volume transports (mvt) </li> <li>Zonal-mean potential density referenced to 2000 dbar (sigma2)</li> <li>Mixed layer depth (mld) </li> <li>Antarctic shelf mask</li> <li>Static grid files</li> </ul> <p><strong>Models</strong>:</p> <ul> <li>GFDL-CM4</li> <li>GFDL-ESM4</li> </ul> <p><strong>Simulations</strong>:</p> <ul> <li>Preindustrial control (piControl)</li> <li>Experiment with a 0.1 Sv freshwater perturbation entering at the Antarctic coast (Antwater)</li> <li>Experiment with zonal and meridional wind stress perturbations (Stress)</li> <li>Experiment with combined perturbation of both Antarctic melting and wind stress (Antwater-Stress)</li> </ul> <p><strong>NetCDF file name structure</strong>:<br> <model>_<simulation>_<member_id>_<domain>_<time_period>_<variable>.nc</p> <ul> <li>model: CM4, ESM4</li> <li>simulation: control, antwater, stress, antwaterstress</li> <li>member_id (only for antwater, stress, antwaterstress): 251, 290, 332 (CM4), 101, 151, 201 (ESM4)</li> <li>domain: global, so</li> <li>time_period: yyyy-yyyy (first year to last year)</li> <li>variable: e.g., moc_rho2_online_lores, dVdt_rho2_online_lores, swmt_sigma2_005, sigma2_jmd95_zmean</li> </ul>
Electronic Supplement / Data Archive for "Global Variations in the Time Delays Between Polar Ionospheric Heating and the Neutral Density Response"
<p>These files provide supplemental data to accompany the paper "Global Variations in the Time Delays Between Polar Ionospheric Heating and the Neutral Density Response" submitted to AGU journal <em>Space Weather</em>, with manuscript number 2022SW003410. Details are provided in the file <strong>ReadMe_DataArchive.pdf</strong>.<br> </p>
Dataset for BRDF representation in response to the build orientation in 3D-printed digital materials
<p>This dataset folder contains data for the project "BRDF representation in response to the build orientation in 3D-printed digital materials"<br> For more information please contact Ali Payami Golhin (payami.ag@gmail.com)</p> <p>Abbreviations:<br> C:Cyan; M:Magenta; Y:Yellow; K:Black<br> GoG: Glossy on Glossy finish; GoM: Glossy on Matte finish</p> <p>Folder "Color values": presents data for CIEXYZ, CIELab, CIELCh for 328 measurement geometries for each CMYK resins<br> Folder "Spectral data": presents reflctance data for 328 measurement geometries for each CMYK resins. The first column in each file represent wavelength (nm) and the second column contains spectral data<br> File "PCA.xlsx": presents PCA (PC1) scores for CMYK colors</p>
Differential response of α-synuclein expression to bacterial ligands and metabolites in mouse enteroendocrine cells
<p>Dataset for manuscript <em>"<strong> </strong></em><strong>α</strong><strong>-synuclein expression in response to bacterial ligands and metabolites in gut enteroendocrine cells</strong><em>". </em>Tabs in excel file are title with the figure number. </p>
ETHNA Validation Survey on Drivers and Barriers of Responsible Research & Innovation (RRI)
<p>This entry includes the ETHNA Validation Survey on Drivers and Barriers of Responsible Research & Innovation (RRI) questions in PDF and the servey results in Excel. Ths survey was conducted by Centre for Social Innovation (ZSI) as part of the WP4 of the European ETHNA System project. The survey explores potential good RRI practices and possible measures to gauge the RRI institutionalisation progress at research-performing organisations.</p> <p>The online survey was sent in October 2021 to a broad group (10.000+) of potentially relevant expert stakeholders identified through a Web of Science database search with the aim of assessing the relevance of the identified drivers, barriers and good practices of RRI institutionalisation. Altogether 888 responses were received from 69 countries with a balanced gender representation, involving the opinion of mostly senior experts (55% having more than 15 years of experience). After filling out general demographic and organisational information, the respondents rated the perceived relevance of the RRI incentives, barriers and good practices that were the highest ranked at the end of the second consultation phase (using a Likert scale of 1-10). </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.