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214 results for “concrete”
Supplementary data for the paper: "Self-healing concrete with a bacteria-based or crystalline admixture as healing agent to prevent chloride ingress and corrosion in a marine environment'"
<div> <p>Supplementary data for the paper: "Self-healing concrete with a bacteria-based or crystalline admixture as healing agent to prevent chloride ingress and corrosion in a marine environment"<br><br>Open data concerning experimental work. Bacteria-based agents (BAS) and crystalline admixtures (CA) are explored as healing agents to enhance chloride resistance and prevent corrosion. Healing of 100 µm and 300 µm wide cracks was investigated, in combination with two conditioning methods. Either the samples were subjected to wet/dry cycles for 3 months before exposure (“healed”), or they were directly exposed to artificial seawater after crack creation (“unhealed”). </p> </div> <h2>Files</h2>
Electromagnetic Wave Dataset for Strength Degradation Detection in Reinforced Concrete Structures Using RFID Measurements and CNN Model
<p>This dataset comprises 1,800 electromagnetic wave (EM-wave) images collected from three different reinforced concrete beams subjected to varying levels of corrosion. Each image is classified into 'normal' or 'reduced strength' categories based on the beam's structural integrity. Generated through a non-destructive RFID-based monitoring technique, this dataset integrates advanced analyses like 2-D Fourier transforms and fractal dimensions. It is specifically designed to train and validate Convolutional Neural Networks (CNNs) for detecting strength degradation in reinforced concrete structures.</p>
Uniaxial Cyclic Tests on Reinforced Concrete Members with Lap Splices
<p>This data paper presents the quasi-static uniaxial cyclic tests of 24 RC members, of which 22 feature lap splices and two are reference units with continuous reinforcement. The objective of the experimental programme is to investigate the influence of lap splice length, confining reinforcement and loading history on the behaviour of lap splices. Particular attention is placed on the measurement of local deformation quantities such as lap splice strains and rebar-concrete slip. Details on the geometry and reinforcement layout of the specimens as well as on the employed test setup, instrumentation and loading protocols are provided. The global behaviour of the test units including the observed crack pattern and failure modes are discussed. The organization of the experimental data is explained.</p>
CODEBRIM: COncrete DEfect BRidge IMage Dataset
<p><strong>CODEBRIM: COncrete DEfect BRidge IMage Dataset</strong> for multi-target multi-class concrete defect classification in computer vision and machine learning.</p> <p>Dataset as presented and detailed in our CVPR 2019 publication: <a href="http://openaccess.thecvf.com/content_CVPR_2019/html/Mundt_Meta-Learning_Convolutional_Neural_Architectures_for_Multi-Target_Concrete_Defect_Classification_With_CVPR_2019_paper.html">http://openaccess.thecvf.com/content_CVPR_2019/html/Mundt_Meta-Learning_Convolutional_Neural_Architectures_for_Multi-Target_Concrete_Defect_Classification_With_CVPR_2019_paper.html</a> or <a href="https://arxiv.org/abs/1904.08486">https://arxiv.org/abs/1904.08486</a> . If you make use of the dataset <strong>please cite it as follows</strong>:</p> <p><strong>"Martin Mundt, Sagnik Majumder, Sreenivas Murali, Panagiotis Panetsos, Visvanathan Ramesh. <em>Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset</em>. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019"</strong></p> <p>We offer a supplementary GitHub repository with code to reproduce the paper and data loaders: <a href="https://github.com/ccc-frankfurt/meta-learning-CODEBRIM">https://github.com/ccc-frankfurt/meta-learning-CODEBRIM</a></p> <p>For ease of use we provide the dataset in multiple different versions.</p> <p>Files contained:<br> * CODEBRIM_original_images: contains the original full-resolution images and bounding box annotations<br> * CODEBRIM_cropped_dataset: contains the extracted crops/patches with corresponding class labels from the bounding boxes <br> * CODEBRIM_classification_dataset: contains the cropped patches with corresponding class labels split into training, validation and test sets for machine learning<br> * CODEBRIM_classification_balanced_dataset: similar to "CODEBRIM_classification_dataset" but with the exact replication of training images to balance the dataset in order to reproduce results obtained in the paper. </p>
A Comprehensive Reliability-Based Framework for Corrosion Damage Monitoring and Repair Design of Reinforced Concrete Structures
<p>Corresponding data set for Tran-SET Project No. 17STLSU03. Abstract of the final report is stated below for reference:</p> <p>"In this work, we developed a comprehensive framework for corrosion management of reinforced concrete (RC) structures. This framework includes critical steps of an effective approach to quantify the damage evolution as well as providing the timeframe for effective maintenance/repair strategies for corrosion assessment in RC structures. The framework included several activities including the use of indirect and direct inspection tools, theoretical development for damage prediction, experimental measurements and theoretical development of repair time based on reliability. The uniqueness of the framework is the integration of deterministic modeling of corrosion damage evolution by using mechanistic analysis with statistical modeling on corrosion of RC structures by using measurements from the field (or natural environment) and experimental testing (in the laboratory). The framework includes a simple algorithm that relies in each development and task generated from this work to monitor and estimate the status of the reinforced concrete structures and the most suitable strategy to extend the life of the system while maximizing the reliability."</p>
Bridge Deck Overlays Using Ultra-High Performance Concrete
<p>Corresponding data set for Tran-SET Project No. 17CNMS01. Abstract of the final report is stated below for reference:</p> <p>"This study investigated the use of a locally produced ultra-high performance concrete (UHPC) as an alternative to typical overlay materials. Several bond strength tests including slant-shear, splitting tension, and direct tension tests were performed to assess the bond strength between UHPC and normal strength concrete (NSC) substrate with varying surface textures. Tests were also conducted to assess the early-age and longer-term shrinkage behavior and coefficient of thermal expansion of the UHPC as well as rapid chloride permeability testing. Good bond between UHPC and NSC substrate was observed even with inadequate surface texture. Combined shrinkage and thermal effects were investigated for NSC slabs overlaid with the non-proprietary UHPC by analyzing five slab-overlay sections. Each slab-overlay had a single parameter varied to isolate the effects of thickness of the NSC substrate, substrate reinforcement ratio, and exposure conditions. Increased steel reinforcement and thickness of the NSC substrate were observed to reduce the effect of UHPC overlay shrinkage. The final major experiment was to overlay a full-scale channel girder to assess the response of a high-performance concrete, pre-stressed bridge girder with a 1-in. (25-mm) UHPC overlay to flexural loading. The girder was subjected to 1000 load-unload cycles to specified service load conditions. Cyclic loading was applied both before and after application of the UHPC overlay to provide a comparison of global behavior and performance of the girder and overlay. Finally, the girder with overlay was loaded to failure to investigate post-cracking and ultimate behavior of the composite member. Little to no visible distress was observed in the overlay until loads were applied that were significantly greater than expected under normal service conditions. The results indicated that the non-proprietary UHPC has the potential to serve as an overlay material as long as proper measures are used to prepare the substrate surface and ensure a high quality bond with the existing deck."</p>
Self-Healing Microcapsules as Concrete Aggregates for Corrosion Inhibition in Reinforced Concrete
<p>Corresponding data set for Tran-SET Project No. 17CLSU08. Abstract of the final report is stated below for reference:</p> <p>"Reinforced Concrete (RC) structures are vital to the US’s civil infrastructure for their strength and versatility. Unfortunately, RC elements deteriorate rapidly when exposed to corrosive environments. One possible solution is to extend the life of RC elements and systems using microencapsulated corrosion inhibitors to reduce the rebar corrosion rate. The capsules house an anodic corrosion inhibitor agent including calcium nitrate (CN) and triethanolamine (TEA). The integration of such microencapsulated materials will enhance the durability and extend the useful life by controlling the corrosion precursors and the corrosion process during damage evolution. Therefore, this work aims to develop and characterize the performance of microcapsules containing corrosion inhibitors (CN-C and TEA-C) in comparison to those introduced as admixtures (CN-A and TEA-A) for reinforced concrete applications. For the corrosion tests, all samples were subjected to continuous ponding, wet/dry cycles, and fog chamber exposure to simulate different environments. The results showed that TEA-C is more effective in giving a corrosion protection than TEA-A and the Control. In contrast, the corrosion protection performance of both CN-A and CN-C was alike. The corrosion kinetics was slightly reduced on inhibited rebars compared to unprotected rebars (the Control). When comparing TEA-C and CN-C, in the presence of each stimulus (pH changes for TEA-C, cracks for CN-C), TEA-C protected the rebar better than CN-C. For the admixture samples (TEA-A and CN-A) that do not need stimuli in the concrete, a stable and better corrosion protection was provided by CN-A. The outcome of this proof-of-concept study in the laboratory validates the merit of the proposed technology for corrosion control in RC structures."</p>
Use of Ultra‐High‐Performance Fiber‐Reinforced Concrete (UHP‐FRC) for Fast and Sustainable Repair of Pavements
<p>Corresponding data set for Tran-SET Project No.17STUTA03. Abstract of the final report is stated below for reference:</p> <p>"This research presents a new methodology, which enables streets, roads, highways, bridges, and airfields to use an advanced fiber-reinforced concrete material, which can delay or prevent the deterioration of these transportation infrastructure when subjected to traffic and environmental loadings. The major problem of concrete is its considerable deterioration and limited service life due to its brittleness and limited durability. As a result, it requires frequent repair and eventual replacement, which consumes more natural resources. Ultra-high-performance fiber-reinforced concrete (UHP-FRC) introduces significant enhancement in the sustainability of concrete structures due to its dense microstructure and damage-tolerance characteristics. These characteristics can significantly reduce the amount of repair, rehabilitation, and maintenance work, thereby giving the transportation infrastructure a longer service life. This research addresses the strong need to develop fast and sustainable UHP-FRC materials for pavement repair that can be easily cast onsite without special treatments. This avoids any major changes to current concrete production practice and accelerates the use of UHP-FRC materials. This research investigated a new method for concrete repair by combining precast UHP-FRC panels with a small quantity of cast-in-place UHP-FRC for pavement repair without any dowel bars. In this method, a precast UHP-FRC panel is used along with cast-in-place UHP-FRC. The vertical repair surfaces of the existing concrete are roughened on site. The outer edges of the UHP-FRC precast panel are roughened before they are brought to the site (no dowel bars are needed). The depth of the precast UHP-FRC panel is the same as the existing pavement thickness. Only a small cast-in-place UHP-FRC joint (one to two inches wide) is done onsite. The roughened precast UHP-FRC panel is placed in the repair area and cast-in-place UHP-FRC is cast into the joint. Experimental results showed that using a roughened surface (up to about CSP 5) provides a very large bond resistance, which is enough to prevent faulting."</p>
Modeling Sulfate Attack in Modern Concrete for Building Sustainable and Resilient Infrastructure
<p>Corresponding data set for Tran-SET Project No. 17CTAM01. Abstract of the final report is stated below for reference:</p> <p>"External sulfate attack is a complex phenomenon and is manifested in the form of large expansion, cracking, and spalling depending on the exposure solution and material constituent properties. Several models were developed in the past to demonstrate sulfate attack mechanisms that account for the diffusion of sulfate ions into the porous concrete and the successive deformation triggered by the chemical reaction and precipitation of expansive agents. However, none of these models accounts for the effect of the migration of solvent water from the low solute concentration solution to high solute concentration solution driven by the osmotic pressure. Osmotic pressure is believed to cause spalling and cracking of concrete substrates coated with semipermeable membrane that prohibits diffusion of ions from the surroundings into the porous body. In order to determine the effect of osmotic pressure on the deformation of concrete exposed to sulfate solution, a coupled poromechanical model has been developed. Sensitivity analysis has been performed to investigate the effect of material constituent properties and exposure solution on the osmotic pressure induced damage propensity of concrete. It has been found that concrete surface can exhibit high instantaneous tensile stress developed by the gradient in the salt concentration between the pore solution and external surroundings."</p>
Self-Healing Concrete using Encapsulated Bacterial Spores in a Simulated Hot Subtropical Climate
<p>Corresponding data set for Tran-SET Project No. 18CLSU02. Abstract of the final report is stated below for reference:</p> <p>"Bacterial concrete has become one of the most promising self-healing alternatives due to its capability to seal crack widths through microbial induced calcite precipitation (MICP). In this study, two bacterial strains were embedded at varying dosages (by weight of cement) in concrete. Beam specimens were used to identify the maximum crack-sealing efficiency, while cylinder samples were used to determine their effects on the intrinsic mechanical properties, as well as its stiffness recovery over time after inducing damage. The concrete specimens were cured in wet-dry cycles to determine their feasibility in Region 6. The results showed that the specimen groups with the highest calcium alginate concentrations (including the control specimens with embedded alginate beads but no bacteria) resulted in higher increases in stiffness recovery. Similarly, the beam samples containing alginate beads (also including the Control 3%C specimen group) had superior crack-healing efficiencies than the control samples without alginate beads (Control NC). This was attributed to the fact that the alginate beads act as a reservoir that can further enhance the autogenous healing capability of concrete. Overall, further research is recommended to verify whether the promising results reported in the literature (relating to self-healing mortar) correlate with concrete proportionally. In addition, there is a need to explore the factors that can maximize the self-healing mechanism of bio concrete through MICP, whether an alternative encapsulation mechanism, nutrient selection, curing regime, or bacterial strain is desired."</p>
A Comprehensive Framework for Life-Cycle Cost Assessment of Reinforced Concrete Bridge Decks
<p>Corresponding data set for Tran-SET Project No. 18STOKS02. Abstract of the final report is stated below for reference:</p> <p>"Various environmental and mechanical stressors cause deterioration of concrete bridge decks. Normal wear and tear, freeze and thaw cycles, and chloride penetration due to deicing salts can cause aggressive deterioration that usually require frequent interventions during the life-cycle of the bridge. These interventions include deck maintenance and repairs (e.g., application of sealers or overlay placement) as well as bridge deck replacement. The quantification of the life-cycle cost of bridge decks considering maintenance and repair activities represents a significant challenge facing local and state transportation agencies. The life-cycle maintenance activities not only increase the direct life-cycle cost of the bridge, but they also lead to significant indirect user costs due to increasing traffic delays, work zone crashes, and operating cost. Moreover, these traffic delays increase the carbon footprint of the bridge and adversely affect the life-cycle bridge sustainability. Accordingly, the proper quantification of indirect costs associated with life-cycle bridge management activities including maintenance, repair, and rehabilitation activities is of paramount importance. The research attempts to fill in the knowledge gaps in quantifying the indirect costs associated with bridge deck maintenance activities and their impact on the overall bridge life-cycle cost."</p>
Reduction of Structural Damage from the Thermal Expansion of Concrete Using Multifunctional Materials
<p>Corresponding data set for Tran-SET Project No. 18STTAM01. Abstract of the final report is stated below for reference:</p> <p>"This study leveraged past successes in the analysis and design of shape memory alloy (SMA) components to address the issue of thermal expansion in concrete structures. Since the SMA used in the current work is relatively cheaper than other common SMAs (less than $50/lb compared to NiTi which is $200/lb due to difficulties in processing), it is anticipated that the findings of the study could be implemented in real infrastructures made of concrete, asphalt concrete, and other complex large infrastructure. Low-cost Fe-SMAs and other multifunctional materials can be considered as a replacement for components made of steel (e.g., in reinforced or plain jointed concrete pavements) to control distresses resulting from thermal expansion during seasonal/daily temperature change. This study conducted a series of finite element (FE) case studies of various configurations of concrete (blocks, slabs, and beams) with embedded, pre-strained SMA rods. This included developing new models to investigate temperature induced deflection in concrete slabs to analyze their curling behavior. It also included investigating the optimal position of the SMA rod and required rod radius. It is hoped that the results of this work could help to design smarter civil infrastructure incorporating multifunctional materials into established civil engineering materials."</p>
Database of the RILEM TC 304-ADC interlaboratory study on mechanical properties of 3D printed concrete (ILS-mech)
<p>The RILEM TC 304-ADC has set up a large interlaboratory study on the mechanical properties of 3D printed concrete (ILS-mech). The study was prepared in 2022 by a preparation group leading to a Study Plan which the TC approved on 29 November 2022 (<a href="https://doi.org/10.14459/2023mp1705940">https://doi.org/10.14459/2023mp1705940</a>). The ILS-mech was performed in 2023. The data was collected using a pre-prepared spreadsheet template. For data management, a database was derived and set-up in openBIS. The underlying Postgres database of openBIS was exported to the here-published SQLite database for sharing without maintaining a server. The structure of the database is described in (<a href="https://doi.org/10.1617/s11527-025-02650-9">https://doi.org/10.1617/s11527-025-02650-9</a>). The results are discussed in three associated papers focusing on the overall outcomes and evaluation of the procedures (<a href="https://doi.org/10.1617/s11527-025-02686-x">https://doi.org/10.1617/s11527-025-02686-x</a>), the compressive test results (<a href="https://doi.org/10.1617/s11527-025-02688-9">https://doi.org/10.1617/s11527-025-02688-9</a>), and the tensile test results (<a href="https://doi.org/10.1617/s11527-025-02687-w">https://doi.org/10.1617/s11527-025-02687-w</a>).</p> <p>contact via freek.bos@tum.de</p>
Additional information for Acidification from microbial oxidation of N, S, Fe and Mn as potential key mechanism for sprayed concrete deterioration in a subsea road tunnel
<p>Here we include additional files for Karacic <em>et al</em>. <strong>Acidification from microbial oxidation of N, S, Fe and Mn as potential key mechanism for sprayed concrete deterioration in a subsea road tunnel</strong></p> <p>Metagenome reads and MAGs are avaliable in the NCBI BioProject PRJNA755678</p> <p>The following files are included here</p> <ul> <li><strong>MAGs_summary_Oslofjord.tsv</strong>: Information about the Oslofjord MAGs (GTDB R207 taxonomy, relative abundance, Completness, Contamination, NCBI accessions)</li> <li><strong>gtdbtk.ar53.summary.</strong> Output from GTDB-Tk v2.1.0 with GTDB R207_v2. Archaeal MAGs</li> <li><strong>gtdbtk.bac120.summary.tsv</strong>. Output from GTDB-Tk v2.1.0 with GTDB R207_v2. Bacterial MAGs</li> <li><strong>FeGenie-geneSummary.csv</strong>: Output from FeGenie</li> <li><strong>Annotations_1.tsv</strong> : Output from DRAM (215 MAGs)</li> <li><strong>Annotations_2.tsv</strong>: Output from DRAM (186 MAGs)</li> <li><strong>OFTMs_DRAM_genes.DiSCo.filtered.txt</strong>. Output from DiSCo</li> <li><strong>code_R.zip</strong>: R-code and additional files used for making MAGs figures</li> </ul> <p>This is version 2 of the dataset and it replaces version 1 (https://doi.org/10.5281/zenodo.5292093) </p>
Concreteness Effect in Morphosyntax (Acceptability Judgments Data)
<p>The data contains acceptability ratings of Serbian sentences containing two types of clausal complements: infinitives and so-called "da+present" constructions (DPCs) combined with subjects with various degrees of concreteness (most concrete - proper names, intermediate - plural common nouns, most abstract - abstract nouns). The data was collected to test the hypothesis that more concrete subjects are rated better when combined with the more concrete type of clausal complement - DPC, and more abstract subjects are rated more favorably with the more abstract type of clausal complement - infinitive. The data also contains basic demographic information where any possibility of discovering the personal idenitities of participants is blocked. </p>
Dataset obtained from DoE for the construction of lightweight concrete blocks using expanded polystyrene
<p>The dataset used in this study was generated through a Design of Experiments (DOE) approach to predict the material mixture proportions using machine learning techniques. It contains 36 experiments, where the independent variables include the proportions of cement, sand, gravel, and expanded polystyrene (Styrofoam). The dependent variables are the compressive strength values and water absorption rates, calculated across multiple components and used to classify the mixtures.</p> <p>The dataset columns include:</p> <ul> <li><strong>Cement:</strong> The proportion of cement used in the mixture.</li> <li><strong>Sand:</strong> The proportion of sand used.</li> <li><strong>Gravel:</strong> The proportion of gravel.</li> <li><strong>Styrofoam (Sty):</strong> The proportion of expanded polystyrene.</li> <li><strong>Comp. 1-6:</strong> Compressive strength values for different components.</li> <li><strong>Comp. Mean:</strong> The mean compressive strength value.</li> <li><strong>Abs. 1-3:</strong> Water absorption values for different components.</li> <li><strong>Abs. Mean:</strong> The mean water absorption rate.</li> <li><strong>Classification:</strong> The final classification of the mixture based on the obtained results, indicating if the mixture belongs to categories such as "B," "C," "D," or "No classification."</li> </ul> <p>This dataset was used to train and validate machine learning models, aiming to predict the mixture properties based on the material proportions.</p>
Utilization of high-performance concrete mixtures for advanced manufacturing technologies
<p><span>The presented experimental program focuses on the design of high-performance dry concrete mixtures, which could find application in advanced manufacturing technologies, for example additive solutions. The combination of high-performance concrete (HPC) with advanced or additive technologies provides new possibilities for constructing architecturally attractive buildings with high material requirements. The purpose of this study was to develop a dry mixture made from high-performance concrete that could be distributed directly in a advanced or additive technologies of solutions in the pre-prepared condition with all input materials (except for water) in order to reduce both financial and labor costs. This research specifically aimed to improve the basic strength characteristics, including mechanical (assessed using compressive strength, tensile splitting strength, and flexural strength tests) and durability properties (assessed using tests of resistance to frost, water, and defrosting chemicals), of hardened mixtures, with partial insight into the rheology of fresh mixtures (consistency as assessed using the slump-flow test). Additionally, the load-bearing capacity of the selected mixtures in the form of specimens with concrete reinforcement were tested using a three-point bending test. A reference mixture with two liquid plasticizers—the first based on polycarboxylate and polyphosphonate and the second based on polyether carboxylate—was modified using a powdered plasticizer, based on the polymerization product Glycol, to create a dry mixture; the reference mixture was compared with the developed mixtures with respect to the above-mentioned properties. In general, the results show that the replacement of the aforementioned liquid plasticizers by a powdered plasticizer based on the polymerization product Glycol in the given mixtures is effective up to 5 % (of the cement content) with regard to the mechanical and durability properties. The presented work provides an over-view of the compared characteristics, which will serve as a basis for future research into the development of additive manufacturing technologies in the conditions of the Czech Republic while respecting the principles of sustainable construction.</span></p>
2 PREHEALING: Design of concrete precast elements incorporating sustainable strategies for self-healing to increase their service life. Concrete analysis
<div>This project addresses the analysis of the performance of concrete with internal curing aggregates (ICA), low-clinker cementitious materials, and steel fibres for use in real applications in the precast industry. A total of eight mixes were designed: 100C, 60C25BA15M (where BA denotes forestry biomass and M denotes metakaolin), 60C25LF15M (with LF as limestone filler and M as metakaolin), 100C-30CBA (where CBA denotes porous aggregate from coal ash), 60C25BA15M-30CBA, 60C25LF15M-30CBA, 60C25BA15M-30CBA-F (where F denotes fibres), and 60C25LF15M-30CBA-F. Two different curing conditions were analysed (standard water curing and humidity/drying cycles), assessing the recovery of mechanical properties and four curing conditions for impermeability recovery: i) carbonated water (CW), ii) immersion/drying cycles in carbonated water (CW wet-dry), iii) tap water (TW), and iv) immersion/drying cycles in tap water (TW wet-dry).</div> <div> </div> <div>This section includes the results of all tests conducted during the experimental campaign, divided into two files:</div> <div> </div> <div> <ul> <li>01_Permeability Test.zip: <br>The attached files contain the results of the permeability tests conducted on cracks opened through the indirect tensile test on cylindrical discs. Permeability tests were initially performed after the crack was opened and then following a self-healing process under four curing conditions: i) carbonated water (CW), ii) immersion/drying cycles in carbonated water (CW wet-dry), iii) tap water (TW), and iv) immersion/drying cycles in tap water (TW wet-dry), at two exposure times: 28 and 90 days.</li> </ul> </div> <div> <ul> <li>02_Mechanical Recovery.zip:<br>The attached files contain the results of the three-point bending test, including crack opening measurements and the force applied at each interval. The cracks were reopened after a curing period in continuous tap water and in immersion/drying cycles. After a period of 28 and 90 days, the cracks were reopened to calculate the mechanical recovery during the self-healing period. The attached files contain all test results conducted during both phases.</li> </ul> </div>
Modality-specific dysfunctional neural processing of social-abstract and non-social-concrete information in schizophrenia
<p>Schizophrenia is characterized by marked communication dysfunctions encompassing potential impairments in the processing of social-abstract and non-social-concrete information, especially in everyday situations where multiple modalities are present in the form of speech and gesture. To date, the neurobiological basis of these deficits remains elusive. In a functional magnetic resonance imaging (fMRI) study, 17 patients with schizophrenia or schizoaffective disorder, and 18 matched controls watched videos of an actor speaking, gesturing (unimodal), and both speaking and gesturing (bimodal) about social or non-social events in a naturalistic way. Participants were asked to judge whether each video contains person-related (social) or object-related (non-social) information. When processing social-abstract content, patients showed reduced activation in the medial prefrontal cortex (mPFC) only in the gesture but not in the speech condition. For non-social-concrete content, remarkably, reduced neural activation for patients in the left postcentral gyrus and the right insula was observed only in the speech condition. Moreover, in the bimodal conditions, patients displayed improved task performance and comparable activation to controls in both social and non-social content. To conclude, patients with schizophrenia displayed modality-specific aberrant neural processing of social and non-social information, which is not present for the bimodal conditions. This finding provides novel insights into dysfunctional multimodal communication in schizophrenia, and may have potential therapeutic implications.</p>
1 PREHEALING: Design of concrete precast elements incorporating sustainable strategies for self-healing to increase their service life. Material characterization
<p>This project deals with the analysis of the performance of concrete with internal curing aggregates (IC), low clinker cementitious materials and steel fibres, to be used in real applications in the field of precast industry.</p> <p>The low clinker cementitious material will be composed of clinker (C), metakaolin (MK) and limestone filler (LF) as powder material. In order to promote the sustainability of these products, a sustainable powder (SP) obtained from wood ash will be included. In addition, aggregates from coal bottom ash (CBA) will be used as internal curing water reservoirs.</p> <p>This section includes the characterization of these materials providing their main properties as particle size distribution, density or absorption, among others</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.