Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
22
datasets available to search
ShareScore release 0.9.0
Dataset results
22 results for “Structural Engineering”
Bibliographic Data from the SoTL in Civil and Structural Engineering Systematic Review
<p>This database contains all the bibliographic information found after applying the Search Strategy used for the SoTL in Civil and Structural Engineering Systematic Review. The following electronic databases were searched:</p> <ul> <li>Scopus.</li> <li>Web of Science.</li> <li>OsloMet Library.</li> <li>Google Scholar (no bibliographic information is presented since this database does not allow to download such data).</li> </ul> <p>A total of 84 records were found in Scopus, 43 in Web of Science, and 55 in OsloMet Library. The search was conducted on September 1, 2023.</p> <p>The information is presented in .ris, .bib, and .csv format.</p>
Supplemental Material: Research Artifacts for Human-Oriented Experiments in Software Engineering: An ACM Badges–driven Structure Proposal
<p>This Research Artifact contains supplemental material from the study: "Supplemental Material: Research Artifacts for Human-Oriented Experiments in Software Engineering: An ACM Badges–driven Structure Proposal". The supplementary material contains:</p> <ol> <li>The list of the 106 primary studies classified by journals.</li> <li>The list of the 12 research artifacts classified by conferences.</li> <li>The .xlsx file of the dataset used to analyze the RQs.</li> <li>The .xlsx file of the dataset used to analyze the research artifacts problems (Table 3). </li> <li>The list of the figures published in the scientific article.</li> </ol>
NCCD-PF - A pre-failure narrow concrete cracks dataset for engineering structures damage classification and semantic segmentation
<p>The NCCD-PF dataset was developed for the classification and semantic segmentation of narrow concrete cracks in engineering structures elements at the pre-failure state. It only includes cracks whose width is narrower than 0.3 mm, i.e. the limit value specified in EC 1992-1-1 for typical elements of engineering structures and environmental conditions.</p> <p>This dataset is dedicated to the early crack detection at a stage when the serviceability limit state has not yet been exceeded and the failure of a structural element has not occurred. By implementing the early crack detection approach, it is possible to protect cracks in order to stop or slow down their propagation and thus to extend the structure's lifespan.</p> <p>This dataset contains images of cracks appearing on various elements of engineering structures (bridges, viaducts, tunnels) made of reinforced concrete (including abutments, tunnel walls, concrete barriers, pillars). The images were captured on construction sites and during inspections of engineering structures, at different stages of the reinforced concrete structure's working conditions - from the construction stage (when the elements are loaded only by their own weight) to the structure's use stage (when the elements are loaded by most of the design loads). The images are also differentiated by the cause of the cracking (ex., thermal and shrinkage stresses in young concrete, excessive stresses). The images were acquired using fixed-focus cameras without prior conditioning in order to represent the real working conditions of a bridge engineer during structural inspections. The images are characterised by a high degree of complexity due to the quality of the concrete surface finish (e.g. presence of formwork marks, concrete trowel marks), which could potentially be recognised as cracks.</p> <p>This dataset is dedicated to researchers working in the fields of computer vision, machine learning and deep learning. In particular, it contains domain knowledge in structural health monitoring, so that it can support the work of engineers in detecting cracks of concrete elements in a pre-failure state.</p> <p>A detailed description of the dataset is presented in <a href="https://www.nature.com/articles/s41597-023-02839-z" target="_blank" rel="noopener">A pre-failure narrow concrete cracks dataset for engineering structures damage classification and segmentation</a> (DOI: 10.1038/s41597-023-02839-z).</p>
Data for 'Ultrafast strain engineering and coherent structural dynamics from resonantly driven optical phonons in LaAlO3'
<p>This folder contains all the raw data required to generate the figures in the work 'Ultrafast strain engineering and coherent structural dynamics from resonantly driven optical phonons in LaAlO3'. </p> <p> </p> <p><strong>Contents</strong></p> <p><em>Figure 2:</em></p> <p>(a) Time resolved balanced reflection data for the short and long time periods: LongTimeData.txt and ShortTimeData.txt. The corresponding Fourier spectra shown in the inset: InsetFourier_LongTimeData.txt and InsetFourier_ShortTimeData.txt</p> <p>(b) Time resolved polarization rotation data for the short and long time periods: LongTimeData.txt and ShortTimeData.txt. The corresponding Fourier spectra shown in the inset: InsetFourier_LongTimeData.txt and InsetFourier_ShortTimeData.txt</p> <p><em>Figure 3:</em></p> <p>(a) Time-resolved polarization rotation data after excitation at two different pump photon energies: trace_85meV_excitation.txt and trace_124meV_excitation.txt. Amplitude as function of central pump photon energy: Inset_Wavelength_dependence.txt and the absorption of LaAlO3: Inset_absorption.txt</p> <p>(b) The raw data for different polarizations: traces_angle_dependence.txt</p> <p>(c) The experimentally obtained (AmplitudeExperiment.txt) and DFT calculated values (AmplitudeDFT.txt).</p> <p><em>Figure 4</em></p> <p>(a) Fourier spectra (and double Gaussian fit) corresponding to time-resolved measurments after excitation at different central photon energies: FourierSpectraData.txt (and FourierSpectraFits). Inset: Extracted peak amplitude (Inset_StrainvsWavelength.txt) and Gaussian fit of the TA strain (Inset_GaussianFit.txt). </p> <p>(b)The TA/LA ratio as function of pump photon energy (SoundWaveRatio.txt) and the Lorentzian fit (RatioFit.txt). And the absorption of LaAlO3 (Absorption_coefficient.txt).</p> <p> </p> <p> </p> <p> </p> <p> </p>
Consumer movement dynamics as hidden drivers of stream habitat structure: suckers as ecosystem engineers on the night shift
Ecosystem engineers engineering can control the spatial and temporal distribution of resources and movement by engineering organisms within an ecosystem can transport mobilize resources across boundaries and distribute engineering effects. Movement patterns of fishes can cause physical changes to stream aquatic habitats though nesting or feeding, both of which often vary in space and time. Here we present evidence of ecosystem engineering by the Sonora sucker (Catostomus insignis), a dominant fish in streams of the southwestern United States, and show how cryptic nocturnal movement patterns and bioturbation activities control heterogeneity in benthic substrates, and in sediment and carbon export. Sonora suckers exhibit distinct diel movement patterns, spending daylight hours in refuge habitats (typically deep pools) while moving into shallow habitats at night to feed. Feeding by suckers creates substantial disturbance in soft sediments that are patchy in space and time. These disturbances moved up to 2.4 × 104 cm3 of sediment per square meter per week in locations that are up to hundreds of meters away from sucker daytime refuges. The diel cycles in feeding activity (i.e., nocturnal digging in benthic substrates) caused nighttime pulses in suspended sediment that comprised up to 32% of the daily suspended load and organic matter transport of a stream reach. During the daytime, this particulate transport settles in habitats beyond the location of the initial disturbance, thus redistributing both sediment and organic matter. Our data indicate that cryptic movement by ecosystem engineers can distribute their effects in space and time generating heterogeneity in resources and suggest that habitat modifications restricting consumer movement may alter the impact of engineering activities.
Input data of the multi-patch geometries used in: A. Farahat, H. M. Verhelst, J. Kiendl, M. Kapl, Isogeometric analysis for multi-patch structured Kirchhoff–Love shells, Computer Methods in Applied Mechanics and Engineering 411 (2023) 116060 DOI: 10.1016/j.cma.2023.116060
Open the record for dataset details and reuse information.
Differential effects of ecosystem engineering by the superb lyrebird Menura novaehollandiae and herbivory by large mammals on floristic regeneration and structure in wet eucalypt forests
<p>Ecosystem engineers that modify soil and ground-layer properties exert a strong influence on vegetation communities in ecosystems worldwide. Understanding the interactions between animal engineers and vegetation is challenging when in the presence of large herbivores, as many vegetation communities are simultaneously affected by both engineering and herbivory. The superb lyrebird <em>Menura novaehollandiae</em>, an ecosystem engineer in wet forests of south-eastern Australia, extensively modifies litter and soil on the forest floor. The aim of this study was to disentangle the impacts of engineering by lyrebirds and herbivory by large mammals on the composition and structure of ground-layer vegetation. We carried out a two-year, manipulative exclusion experiment in the Central Highlands of Victoria, Australia. We compared three treatments: fenced plots with simulated lyrebird foraging; fenced plots excluding herbivores and lyrebirds; and open controls. This design allowed assessment of the relative impacts of engineering and herbivory on germination rates, seedling density, vegetation cover and structure, and community composition. Engineering by lyrebirds enhanced the germination of seeds in the litter layer. After two years, more than double the number of germinants were present in 'engineered' than 'non-engineered' plots. Engineering did not affect the density of seedlings, but herbivory had strong detrimental effects. Herbivory also reduced the floristic richness and structural complexity (< 0.5 m) of forest vegetation, including the cover of herbs. Neither process altered the floristic composition of the vegetation within the 2-year study period. Ecosystem engineering by lyrebirds and herbivory by large mammals both influence the structure of forest-floor vegetation. The two-fold increase in seeds stimulated to germinate by engineering may contribute to the evolutionary adaptation of plants by allowing greater phenotypic expression and selection than would otherwise occur. Over long timescales, engineering and herbivory likely combine to maintain a more-open forest floor conducive to ongoing ecosystem engineering by lyrebirds.</p>
Tissue-engineered vocal fold replacement in swine: Methods for functional and structural analysis.
<p>S2 Data. 5534 pig squeal events investigated in this study, provided in a folder structure sorted by pigs, pre- / post-treatment and recording date as .wav files.</p>
Differential effects of ecosystem engineering by the superb lyrebird Menura novaehollandiae and herbivory by large mammals on floristic regeneration and structure in wet eucalypt forests
Open the record for dataset details and reuse information.
Consumer movement dynamics as hidden drivers of stream habitat structure: suckers as ecosystem engineers on the night shift
Open the record for dataset details and reuse information.
Structural Data for the Antibody Developability Manuscript: Cartography of Developability Landscapes in Native and Human-Engineered Antibodies
<p>Here is the additional structural data (predicted models and MD trajectories) for the "Cartography of the Developability Landscapes of Native and Human-Engineered Antibodies" manuscript. Please cite our paper when referring to and using this data. If you have any questions, please contact Eva Smorodina at ribes.ev@gmail.com. Thank you!</p>
Highly Selective Oxidative Dehydrogenation of Ethane to Ethylene via Chemical Looping with Oxygen Uncoupling through Structural Engineering of the Oxygen Carrier
<p>Raw data for the article "Highly Selective Oxidative Dehydrogenation of Ethane to Ethylene via Chemical Looping with Oxygen Uncoupling through Structural Engineering of the Oxygen Carrier", already published in Advanced Energy Materials. <a href="https://doi.org/10.1002/aenm.202200405">https://doi.org/10.1002/aenm.202200405</a></p> <p>All details concerning conditions and equipment for measurements can be found in the main text, supporting information of the article, and in text files contained in the folder.</p>
Data from: Ecosystem engineers shape ecological network structure and stability: a framework and literature review
<p>Ecosystem engineering is a ubiquitous process where species influence the physical environment and thereby structure ecological communities. However, there has been little effort to synthesise or predict how ecosystem engineering may impact the structure and stability of interaction networks. To assess the current scientific understanding of ecosystem engineering impacts via habitat forming, habitat modification, and bioturbation on interaction networks/food webs, we reviewed the literature covering marine, freshwater, and terrestrial food webs, plant-pollinator networks, and theory. We provide a conceptual framework and identify three major pathways of engineering impact on networks through changes in resource availability and energy flow, habitat heterogeneity, and environmental filtering. These three processes often work in concert and most studies report that engineering increases species richness. This is particularly marked for engineers that increase habitat heterogeneity and thereby the number of available niches. The response of network structure to ecosystem engineering varies, however some patterns emerge from this review. Engineered habitat heterogeneity leads to a higher number of links between species in the networks and increases link density. Connectance can be negatively or positively affected by ecosystem engineer impact, depending on the engineering pathway and the engineer impact of species richness. We discuss how ecosystem engineers can stabilize or destabilize communities through the changes in niche space, diversity, network structure, and the dependency on the engineering impact. Theory and empirical evidence need to inform each other to better integrate ecosystem engineering and ecological networks. A mechanistic understanding how ecosystem engineering traits shape interactions networks and their stability will be important to predict species extinctions and can provide crucial information for conservation and ecosystem restoration.</p>
Structure-guided disulfide engineering restricts antibody conformation to elicit TNFR agonism
<p>This dataset contains the input files used to run conventional MD simulations described in 'Structure-guided disulfide engineering restricts antibody conformation to elicit TNFR agonism', as well as the structures extracted from these simulations used in GAJOE and CRYSOL analysis (see sasbdb.org deposited dataset SASDSC7 and SASDSD7). </p>
Structural studies of the IFNλ4 receptor complex using cryoEM enabled by protein engineering
<p>MD trajectories for use with the analysis code in https://github.com/bylehn/ifnl4-structure-paper</p>
Supplementary Data for "Exploring structure-function relationships in engineered receptor performance using computational structure prediction"
<p>These data are supplementary data for the manuscript "<strong>Exploring structure-function relationships in engineered receptor performance using computational structure prediction</strong>", which has been submitted for consideration for publication. These data include protein structure predictions used in this study.</p>
Engineering 'smart' viral RNA structures for stable and targeted siRNA delivery
<p>Innovative delivery strategies are needed in order to realize the potential of small interfering RNA (siRNA) in medicine. SiRNAs are short, double-stranded RNA molecules that silence genes by co-opting an endogenous RNA interference (RNAi) pathway. Because they act on messenger RNA (mRNA) sequences via RNAi, siRNAs hold promise as potentially curative therapies for genetic defects, autoimmune disorders, cancers, and other diseases that cannot be treated with traditional, protein-binding small molecule drugs and biologics. However, key physiological barriers largely have precluded the translation of siRNA drugs into clinical practice. <em>In vivo</em>, naked siRNAs are degraded rapidly by nucleases and cleared by the kidneys, resulting in a half-life of less than five minutes. Moreover, by comparison to small molecule drugs, siRNA drugs are relatively large, hydrophilic molecules that do not distribute widely to tissues or passively cross the cell membrane. Therefore, without an effective strategy for delivery, the accumulation of siRNA drugs at target sites is minimal. Today, there are few prominent siRNA delivery approaches, and each has significant limitations. For example, chemical modifications can improve nuclease resistance, but with the increase in stability also come tradeoffs in potency and safety. Lipid nanoparticles (LNPs) physically shield siRNAs from degradation and can be modified to promote biodistribution and uptake; but as LNPs are optimized for efficacy, they become increasingly complex, posing quality assurance, cost, and evaluation problems. Finally, conjugation to the <em>N</em>-Acetylgalactosamine (GalNAc) ligand is a promising delivery strategy for the liver, but targeted delivery to other tissues is a problem that still remains to be solved. Advances in nucleic acid nanotechnology have shown that RNA is an emerging platform for drug delivery. In particular, a three-way junction (3WJ) derived from bacteriophage prohead RNA (pRNA) has gained prominence as a vector for small molecule, microRNA (miRNA), anti-miRNA, and siRNA delivery. As a delivery solution for siRNA, RNA-based platforms like the pRNA 3WJ have many notable advantages. For example, size and shape can be controlled to minimize clearance, and functionalization with aptamers can drive cell uptake. Also, RNA is a fundamentally biocompatible molecule that is simple, straightforward to produce, and multifunctional. However, its metabolic instability is limiting. Exciting new research has uncovered 'smart' RNA structures that are produced by flaviviruses (<em>e.g.</em>, Zika, Dengue, West Nile) to thwart nuclease degradation. Compared to other RNA structures used for drug delivery, these nuclease-resistant structures (NRSs) may be uniquely positioned for <em>in vivo</em> applications. The aim of this project is to harness the inherent stability of flaviviral NRSs in the creation of a supramolecular platform for siRNA delivery. This project has the potential to address a critical need in the field of oligonucleotide therapeutics, which has few promising solutions for harnessing the power of RNAi in the clinic. Additionally, this project will validate new stable structures as building blocks for use in RNA nanotechnology and therefore will help researchers design supramolecular structures for a variety of applications well beyond those described in this proposal.</p>
Co‑occurrence structure of late Ediacaran communities and influence of emerging ecosystem engineers
Open the record for dataset details and reuse information.
Engineering ‘smart’ viral RNA structures for stable and targeted siRNA delivery
Open the record for dataset details and reuse information.
Data from: Ecosystem engineers shape ecological network structure and stability: a framework and literature review
Open the record for dataset details and reuse information.
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.