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1,210 results for “Adhesion”
A multiscale theory for spreading and migration of adhesion-reinforced mesenchymal cells
<p>We present a chemomechanical whole-cell theory for the spreading and migration dynamics of mesenchymal cells that can actively reinforce their adhesion to an underlying viscoelastic substrate as a function of its stiffness. Our multiscale model couples the adhesion reinforcement effect at the subcellular scale with the nonlinear mechanics of the nucleus-cytoskeletal network complex at the cellular scale to explain the concurrent monotonic area-stiffness and non-monotonic speed-stiffness relationships observed in experiments: We consider that large cell spreading on stiff substrates flattens the nucleus, increasing the viscous drag force on it. The resulting force balance dictates a reduction in the migration speed on stiff substrates. We also reproduce the experimental influence of the substrate viscosity on the cell spreading area and migration speed by elucidating how the viscosity may either maintain adhesion reinforcement or prevent it depending on the substrate stiffness. Additionally, our model captures the experimental directed migration behavior of the adhesion-reinforced cells along a stiffness gradient, known as durotaxis, as well as up or down a viscosity gradient (viscotaxis or anti-viscotaxis), the cell moving towards an optimal viscosity in either case. Overall, our theory explains the intertwined mechanics of the cell spreading, migration speed and direction in the presence of the molecular adhesion reinforcement mechanism. </p>
A story of two transitions: from adhesive to abrasive wear and from ductile to brittle behavior
<h2>Links</h2> <h2>Authors</h2> <ul> <li><strong>S. Z. Wattel</strong>, Civil Engineering Institute, Materials Science and Engineering Institute, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland, ORCID: <a href="https://orcid.org/0000-0002-5117-9915">0000-0002-5117-9915</a></li> <li><strong>J.-F. Molinari</strong>, Civil Engineering Institute, Materials Science and Engineering Institute, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland, ORCID: <a href="https://orcid.org/0000-0002-1728-1844">0000-0002-1728-1844</a></li> </ul> <h2>Language</h2> <ul> <li>English</li> </ul> <h2>License</h2> <ul> <li>Creative Commons Attribution 4.0</li> </ul> <p>This is a data used in: S. Z. Wattel and J.-F. Molinari, "A story of two transitions: from adhesive to abrasive wear and from ductile to brittle behavior", Journal of Chemical Physics </p> <p>You can find all the information necessary to reproduce the results presented in the paper. As they are too memory intensive, the per-atoms results of the MD simulations were not shared. Instead, a LAMMPS input file for each simulation is provided as well as the log file containing average values.</p> <p>Each simulation can be identified by the key [Size, Potential, Pressure] which corresponds, respectively, to the initial radius of the particle, the potential used in the soft surface and the pressure applied on top and bottom boundaries. Per simulation filenames follow the template H[Potential]<em>rad</em>[Size]<em>p</em>[Pressure]_0. For example, files relating to a simulation of initial particle radius of 50 atoms, where the soft surface potential is H5 and the pressure applied is 0.07 would be named H_5_rad_50_p_0.07_0.</p> <p>The software versions are:</p> <blockquote> <p>LAMMPS (23 Jun 2022 - Update 2)</p> <p>Python 3.11.4</p> <p>NumPy 1.24.3</p> <p>SciPy 1.10.1</p> <p>Pandas 2.1.1</p> <p>MatplotLib 3.7.1</p> </blockquote> <h3>DataPlot.ipynb</h3> <p>The Jupyter notebook contains the code necessary to reproduce every plot in the paper. It also gives indication on how to interact with the data.</p> <h3>analyse.py</h3> <p>The Python script used to perform the clustering analysis of the results.</p> <h3>wear_regime.csv</h3> <p>CSV file describing the wear regime observed in the simulation. The wear regime code is :</p> <blockquote> <p>0 for smooth accretion</p> <p>1 for large chunks & fracturing</p> <p>2 for mixed</p> <p>3 for smooth rolling + some breaking events</p> <p>4 for too much BC influence</p> <p>5 for others</p> </blockquote> <h3>wear_volumes.csv</h3> <p>CSV file describing the wear volume either at the end of the simulation or when the boundary conditions were reached. The total wear volume is the number of atoms part of the rolling particles (removing the initial wear aprticle atoms from the count). The wear volume soft is the part of the wear volume coming from atoms of the soft surface. The measurement timestep is the timestep at which these volumes were counted.</p> <h3>ParametricStudy</h3> <p>Contains the input file and log file for each simulation.</p> <h3>Logs</h3> <p>Contain the log files from each simulation in CSV format for easy post-processing.</p> <h3>Volumes</h3> <p>For a selected number of simulations, the wear volumes were counted at several steps through the simulations. The results are in this folder in csv format.</p> <h3>ClusteringAnalysis</h3> <p>Contains the results from the clustering analysis of the parametric study. The outputs are, for each simulation, colored png files of the clusters as well as an unordered list containing the size of each cluster for several timesteps.</p> <h4>The archiving of this data was made with the help of Solidipes : solidipes.readthedocs.io</h4>
Data from: ESCRT-III-dependent adhesive and mechanical changes are triggered by a mechanism detecting alteration of Septate Junction integrity in Drosophila epithelial cells
<p><span>Barrier functions of proliferative epithelia are constantly challenged by mechanical and chemical constraints. How epithelia respond to and cope with disturbances of barrier functions to allow tissue integrity maintenance is poorly characterized. Cellular junctions play an important role in this process and intracellular traffic contribute to their homeostasis. Here, we reveal that, in <em>Drosophila</em> pupal <em>notum</em>, alteration of the bi- or tricellular septate junctions (SJs) triggers a mechanism with two prominent outcomes. On one hand, there is an increase in the levels of E-cadherin, F-Actin and non-muscle Myosin II in the plane of adherens junctions. On </span><span>the other hand, β-integrin/Vinculin-positive cell contacts are reinforced along the lateral and basal membranes. We found that the weakening of SJ integrity, caused by the depletion of bi- or tricellular SJ components, alters ESCRT-III/Vps32/Shrub distribution, reduces degradation, and instead favours recycling of SJ components, an effect that extends to other recycled transmembrane protein cargoes including Crumbs, its effector β-Heavy Spectrin</span><span> Karst, and </span><span>β-integrin</span><span>. We propose a mechanism by which epithelial cells, upon sensing alterations of the septate junction</span><span>,</span><span> reroute the function of Shrub to adjust the balance of degradation/recycling of junctional cargoes and thereby compensate for barrier junction defects to maintain epithelial integrity.</span></p>
Data for "Friction in Rolling a Cylinder on or Under a Viscoelastic Substrate with Adhesion"
<p>This dataset contains all the data generated for the publication</p> <p>[1] R. Nazari, A. Papangelo, M. Ciavarella, Friction in Rolling a Cylinder on or Under a Viscoelastic Substrate with Adhesion, Tribology Letters, (2024), DOI: 10.1007/s11249-024-01849-1 </p> <p>The provided data are those which appear in the figures of Ref. [1]. Data are stored using informative named structures in a ".mat" file. The data are easily accessible through the Commercial Software MATLAB (© 1994-2023 The MathWorks, Inc.) or by using the free software GNU Octave. An exemplary code for loading and plotting the data contained in "dataRolling.mat" is the following:</p> <p>%%%%%%%%%%%%%</p> <div>clc</div> <div>clearvars</div> <div> </div> <div>close all</div> <div> </div> <div>% load workspace containing data</div> <div> <div>load('dataRolling.mat') </div> <div> </div> <div>% Plot the curve number 2 of Figure 7</div> <div> </div> <div>figure, hold on</div> <div>curve_number = 2;</div> <div>plot(Fig7.x(curve_number).x,Fig7.y(curve_number).y)</div> <div> </div> <div>%%%%%%%%%%%%%</div> </div>
Supplemental Material to Doctoral Thesis "Engineering approach for predicting tunneling crack initiation in trailing-edge adhesive joints of wind turbine blades under mechanical fatigue and thermal residual stresses"
<p>This set supplements the figure data to the doctoral thesis "Engineering approach for predicting tunneling crack initiation in trailing-edge adhesive joints of wind turbine blades under mechanical fatigue and thermal residual stresses", DOI: <a href="https://doi.org/10.14279/depositonce-19144">10.14279/depositonce-19144</a></p>
Experimental data associated with publication "Small-scale roughness entraps water and controls underwater adhesion"
<p>This folder contains:</p> <ol> <li>Experimental adhesion data and the JKR Fit parameters.</li> <li>Raw SFG data used to create Figure 2.</li> <li>Power spectral densities of the 4 rough diamond surfaces. </li> <li>Summary sheets containing results for dry and underwater adhesion measurements. </li> </ol>
The role of surface adhesion on the macroscopic wrinkling of biofilms
<p>Biofilms, bacterial communities of cells encased by a self-produced matrix, exhibit a variety of three-dimensional structures. Specifically, channel networks formed within the bulk of the biofilm have been identified to play an important role in the colonies viability by promoting the transport of nutrients and chemicals. Here, we study channel formation and focus on the role of the adhesion of the biofilm matrix to the substrate in <em>Pseudomonas aeruginosa</em> biofilms grown under constant flow in microfluidic channels. We perform phase contrast and confocal laser scanning microscopy to examine the development of the biofilm structure as a function of the substrates surface energy. The formation of the wrinkles and folds is triggered by a mechanical buckling instability, controlled by biofilm growth rate and the film's adhesion to the substrate. The three-dimensional folding gives rise to hollow channels that rapidly increase the overall volume occupied by the biofilm and facilitate bacterial movement inside them. The experiments and analysis on mechanical instabilities for the relevant case of a bacterial biofilm grown during flow enable us to predict and control the biofilm morphology.</p>
Dynamics of an interfacial bubble controls adhesion mechanics in a van der Waals heterostructure
<p>These are the COMSOL Multiphysics for our FEM calculations of frequency dispersion with gate voltage (<span class="math-tex">\(V_g^{dc}\)</span>) and stress at different values of <span class="math-tex">\(V_g^{dc}\)</span> for different conditions of graphene-hBN heterostructure interface. For the bubble growth rate equation, we considered linear gate-voltage dependence. Bubble growth will be restricted as the bubble diameter reaches the diameter of the drum. So the growth is conditional, it increases as the gate voltage increases with a constant slope till its radius reaches the drum radius (<span class="math-tex">\(R_f \)</span>); its governing equation is <span class="math-tex">\(R_{\textrm{bub}}(V_g^{\textrm{dc}})=R_i+mV_g^{\textrm{dc}} for R_{bub}\leq R_f\)</span> . Bubble growth stops at <span class="math-tex">\(R_{bub} ≈ R_f \)</span>, where <span class="math-tex">\(R_i \)</span>, <span class="math-tex">\(R_f \)</span>are the initial and final radii of the bubble and m is the increase in bubble radius per unit change in gate voltage (<span class="math-tex">\(µm/V\)</span>).</p>
Experimental results for Dynamics of an interfacial bubble controls adhesion mechanics in a van der Waals heterostructure
<p>These are the COMSOL Multiphysics file used for our FEM calculations of frequency dispersion with gate voltage (<span class="math-tex">\(V_g^{dc}\)</span>) and stress at different values of <span class="math-tex">\(V_g^{dc}\)</span> for different conditions of graphene-hBN heterostructure interface. For the bubble growth rate equation, we considered linear gate-voltage dependence. Bubble growth will be restricted as the bubble diameter reaches the diameter of the drum. So the growth is conditional, it increases as the gate voltage increases with a constant slope till its radius reaches the drum radius (<span class="math-tex">\(R_f \)</span>); its governing equation is <span class="math-tex">\(R_{\textrm{bub}}(V_g^{\textrm{dc}})=R_i+mV_g^{\textrm{dc}} for R_{bub}\leq R_f\)</span> . Bubble growth stops at <span class="math-tex">\(R_{bub} ≈ R_f \)</span>, where <span class="math-tex">\(R_i \)</span>, <span class="math-tex">\(R_f \)</span>are the initial and final radii of the bubble and m is the increase in bubble radius per unit change in gate voltage (<span class="math-tex">\(µm/V\)</span>).</p>
Effect of heterogeneous substrate adhesivity of follower cells on speed and tension profile of leader cells in primary keratocyte collective cell migration
<p><span>In single keratocyte motility, membrane tension is reported to be high at cell-fronts and believed to establish front coherence. To understand role of membrane mechanics in collective cell migration, we study membrane height fluctuations in cell sheets from fish scales using interference reflection microscopy (IRM). We report the monolayer to have cells lacking substrate adhesion and show that such "non-sticky" cells can form bridges between leader cells and far-away follower cells. Do such interactions alter motility and membrane mechanics in such leaders? We find non-significant, but reduced speed for leaders with "non-sticky" followers in comparison to other leaders. Cells show high phenotypic variability in their membrane fluctuation tension profiles. On average, this tension is found to be lower at cell fronts than the mid-section. However, leaders with non-sticky followers are more prone to display higher tension at their front and have a negative correlation between cell speed and front-mid tension difference. We, thus, conclude that intracellular tension gradients are heterogeneous in cell sheets and substrate adhesivity of followers can control the coupling of the gradient to cell speed.</span></p>
Measuring Electro-Adhesion Pressure Before and After Contact
<p>Dataset supporting article on Measuring Electro-Adhesion Pressure Before and After Contact. The main file "data" contains a README file explaining the structure of the files, data and labels.</p>
Towards bio-inspired polymer adhesives: Activation assisted via HOBt for grafting of dopamine onto poly(acrylic acid)
<p>The design of bio-inspired polymers has long been an area of intense study, however applications to the design of concrete admixtures for improved materials performance have been relatively unexplored. In this work we functionalized poly(acrylic acid) (PAA), a simple analogue to polycarboxylate ether admixtures in concrete, with dopamine to form a catechol-bearing polymer (PAA-g-DA). Synthetic routes utilizing hydroxybenzotriazole (HOBt) as an activating agent were examined for their ability in grafting dopamine to the PAA backbone. Previous literature using the traditional coupling reagent 1-Ethyl-3-(3-dimethylaminopropyl)-carbodiimide (EDC) to graft dopamine to PAA were found to be inconsistent and the sensitivity of EDC coupling reactions necessitated a search for an alternative. Additionally, HOBt allowed for greater control over percent functionalization of the backbone, is a simple, robust reaction, and showed potential for scalability. This finding also represents a novel synthetic pathway for amide bond formation between dopamine and PAA. Finally, we performed preliminary adhesion studies of our polymer on rose granite specimens and demonstrated a 56% improvement in the median adhesion strength over unfunctionalized PAA. These results demonstrate an early study on the potential of PAA-g-DA to be utilized for improving the bonds within concrete.</p>
Rapid increase in transferrin receptor recycling promotes adhesion during T cell activation
<p>This Dataset contains primary data used for the publication "Rapid increase in transferrin receptor recycling promotes adhesion during T cell activation" accepted for publication in BMC Biology on 15. July 2022</p> <p><strong>Abstract:</strong></p> <p>Background<br> T cell activation leads to increased expression of the receptor for the iron transporter transferrin (TfR) to provide iron required for the cell differentiation and clonal expansion that takes place during the days after encounter with a cognate antigen. However, T cells mobilise TfR to their surface within minutes after activation, although the reason and mechanism driving this process remain unclear.</p> <p>Results<br> Here we show that T cells transiently increase endocytic uptake and recycling of TfR upon activation, thereby boosting their capacity to import iron. We demonstrate that increased TfR recycling is powered by a fast endocytic sorting pathway relying on the membrane proteins flotillins, Rab5 and Rab11a-positive endosomes. Our data further reveal that iron import is required for a non-canonical signalling pathway involving the kinases Zap70 and PAK, which controls adhesion of the integrin LFA-1 and eventually leads to conjugation with antigen-presenting cells.</p> <p>Conclusions<br> Altogether, our data suggest that T cells boost their iron importing capacity immediately upon activation to promote adhesion to antigen-presenting cells.</p> <p> </p> <p>Data are organised in compressed (.zip) folders entitled as the corresponding Figures in the publication.</p> <p>Programs we recommend to view the files are:<br> .fcs files: FlowJo software v10 (Tree Star, Ashland, OR, USA)<br> .lsm and .czi files: ZEN 2012 SP1 and higher (Carl Zeiss, Jena, Germany)<br> .lif files: LAS X v3 (Leica Microsystems, Wetzlar, Germany)<br> .pzfx files: Prism v7 software (GraphPad, San Diego, CA, USA)</p>
Diaspore traits specialized to animal adhesion and sea current dispersal are positively associated with the naturalization of European plants across the World
<p>Understanding what drives non-native species naturalization (the establishment of a self-sustainable population outside its native range) is a central question in invasion science. Plants' capacity for long distance dispersal (LDD) is likely to influence the spread and naturalization of non-native species differently according to their introduction pathways. These pathways include intentional introductions (for economic use, e.g. for agriculture), unintentional introductions (e.g. seed contaminants), plant dispersal via human infrastructures (e.g. roads), and plant spread from an adjacent region where the species was previously introduced. Herein, we tested the relationship between sets of LDD traits (syndromes) of 10,308 European plant species and their global naturalization incidence (i.e. whether a species has become naturalized or not) and extent (i.e. the number of regions where a species has become naturalized) using the most comprehensive database of naturalized plants worldwide (GloNAF). Diaspore traits allowed the identification of four traditional LDD syndromes, namely those with specializations for dispersal by: wind (anemochorous), animal ingestion (endozoochorous), attached to animals (epizoochorous), and sea currents (thalassochorous). These evolutionary specializations have been historically interpreted by biologists even though actual dispersal is not always related to diaspore syndromes. We found that while epizoochorous and thalassochorous traits are positively associated with global plant naturalization incidence, anemochorous and endozoochorous traits show a negative relationship. Species´ residence time outside their native range, their economic use and presence of epizoochorous traits (such as hooks, hairs and adhesive substances) are positively associated with global naturalization extent. Furthermore, we found that plants' economic use reduces the influence of LDD syndromes on the naturalization incidence of intentionally introduced plants. While the success of non-native plants is influenced by a broad array of species- and context-specific factors, LDD syndromes play an important role in this context depending on the economic use of plants.</p>
Ecologically-related variation of digit morphology in Cyrtodactylus (Gekkota, Squamata) reveals repeated origins of incipient adhesive toepads
<p>The exploitation of different locomotor substrates in different ecological niches has driven the evolution of specialized morphological structures, and similar ecological demands, such as the structure of the microhabitat, often lead to convergent or parallel evolution. The evolution of adhesive toepads in geckos remains understudied because of the paucity of phylogenetically informed investigations of candidate clades exhibiting purported incipient expression of these (i.e., species having evolved some, but not all, parts of the complex adhesive system of pad-bearing geckos). Using <em>Cyrtodactylus</em>, a speciose genus with well-established ecotypes, we tested the hypothesis that microhabitats that require more climbing will lead to the acquisition of incipient adhesive morphology. We measured subdigital scale area, a proxy for adhesive toepad evolution, and quantified subdigital scale shape for 77 of the 354 described species, including at least one representative of each ecotype. Subdigital scale area increased from terrestrial through generalist and saxicoline (rock-dwelling) to arboreal ecotypes, with subdigital scale shape evolving from ancestral conditions for padless lizards to lateromedially expanded lamella-like scales only in the arboreal ecotypes. This significant link between phenotype and environment supports the contention that scansorial, and particularly arboreal, <em>Cyrtodactylus</em> ecotypes have evolved incipiently expressed adhesive toepads. This highlights the suitability of this genus as a model system for studying the ecology and evolution of adhesive toepads as well as being a promising candidate for research on adaptive radiations.</p>
Fluid flow drives phenotypic heterogeneity in bacterial growth and adhesion on surfaces
<p>Raw data for the study reported by Hubert et al., Nature Communications 2024 (accepted).</p> <p>Each of the 4 folders within the archive, denoted 'Ulow', 'Low', 'Med', and 'High' contains 3 sets of raw experimental data, each corresponding to an experiment performed in the 'Ulow', 'Low', 'Med', and 'High' shear stress regime, in accordance with the folders' names.</p> <p>Each of these data sets is bundled into a single .avi video, consisting of raw images recorded at a 1/60 Hz acquisition frequency (i.e., 1 image per minute).</p> <p>The folder 'Supplementary_Software'contains Matlab and Python scripts used to treat the raw data, with a raw data sample. The file 'HOWTO_use_the_scripts.txt' explains how to use the scripts.</p> <p>Except for this HOWTO file, the files inside the various subfolders of folder 'Supplementary_Software' are not listed in the file tree below. Only the subfolders are listed.</p> <p>./<br>├── README_data_sets_and_treatment_scripts.txt (this file)<br>├── Ulow/<br> | ├── Ulow_set1.avi<br> | ├── Ulow_set2.avi<br> | └── Ulow_set3.avi<br>├── Low/<br> | ├── Low_set1.avi<br> | ├── Low_set2.avi<br> | └── Low_set3.avi<br>├── Med/<br> | ├── Med_set1.avi<br> | ├── Med_set2.avi<br> | └── Med_set3.avi<br>└── High/<br> | ├── High_set1.avi<br> | ├── High_set2.avi<br> | └── High_set3.avi<br>└── Supplementary_Software/<br> ├── HOWTO_use_the_scripts.txt<br> ├── step1_matlab/ <br> | ├── Pos0_100_every_1000/ <br> | ├── matlab_image_processing/ <br> | ├── images_treated_20201120_220854/ <br> | └── Outputs/<br> └── step2_python/<br> └── Outputs/</p> <p> </p> <p> </p>
Computer-aided design of optimal environmentally benign solvent-based adhesive products
<p>The files contain all the product design problems implemented in GAMS for this publication. All models were run on a single core of a dual 8 core Intel(R) Xeon(R) CPU E5-2650 machine at 3.52 GHz with 125GB of memory.</p> <p> </p> <p><strong>Abstract</strong></p> <p>In this work, a general systematic methodology for the design of optimal adhesive products with low environmental impact is presented. The proposed approach integrates computer-aided design tools and Generalised Disjunctive Programming to formulate and solve the product design problem. Key design decisions in product design (number of ingredients, identity of compounds and their proportions) are optimised simultaneously. This methodology is applied to the design of solvent-based acrylic adhesives, which are commonly used in construction. First, optimal product formulations are determined with the aim to minimize toxicity. This reveals that that high performance can be achieved by investigating different number of components as well as by optimising all ingredients simultaneously rather than sequentially. The relation between two competing objectives is then explored by obtaining a set of Pareto optimal solutions. This leads to significant trade-offs and large areas of discontinuity driven by discrete changes in the list of optimal product ingredients.</p>
Video adhesion test
<p>Together with the cooperation partners of <strong>Biocombs4Nanofibers</strong>, researchers at <strong>RWTH </strong>and<strong> JKU</strong> demonstrated that the calamistrum (a comb of specialized setae at the hind leg) of cribellate spiders (like the garden center spider <em>Uloborus plumipes</em>) minimizes van der Waals attractive forces due to a nanostructuring on the setae, reducing contact with nanofibers. Using a nanosecond UV laser, project partner <strong>JKU</strong> succeeded in recreating these nanostructures on artificial surfaces (PET). The resulting laser-induced periodic surface structures (LIPSS) minimize the adhesion of nanofibers similar to the biomimetic model.</p>
Preparation techniques of thin cyanoacrylate adhesive films for interface analysis
<p>For understanding the interactions between adhesives and different surfaces, the in-situ characterization of the interface is essential. Especially for highly reactive cyanoacrylates, better known as instant adhesives, the adhesion mechanism is poorly understood because, among other things, the characterization of the interface is difficult. The objective of this work is to evaluate the methods of thermal evaporating and spin coating to produce nm-thin, homogeneous films of cyanoacrylate. The aim is to enable spectroscopic analysis of the interface in the future.</p>
ADHESIVELY BONDED JOINTS OF THE PRIMARY STRUCTURE WITHIN THE HAP PROJECT
<p>In the HAP (High Altitude Platform) project, the German Aerospace Center (DLR) is developing a solar-powered long-range aircraft, various payloads for Earth observation missions, the ground control station and operating concept. The mission conditions and<br> objectives pose major challenges to the aircraft structure, especially with respect to lightweight design. This presentation intrudces the design process of bonded joints for the primary structure on the example of the wing spar, as the most critical component. The wing, with an overall span of 27m, is divided in three wing sections, with the tubular wing spar being assembled from several segments for manufacturing reasons. Considering the demanding lightweight design expectations, adhesively bonded scarfed tubular joints are selected. A manufacturing concept is developed to minimize effort for joint preparation. The dimensioning is based on global (GFEM) and detailed finite element models (DFEM) to fine-tune the design (stiffness discontinuities, surface toughness) to increase the load<br> carrying capacity. This is flanked by physical tests for model validation and material characterization, such as adhesive characterization, to increase DFEM accuracy.</p>
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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.
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
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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.