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.
695
datasets available to search
ShareScore release 0.7.1
Dataset results
695 results for “topologies”
Data from: Topological, chemical, and electro-optical characteristics of riboflavin-doped artificial and natural DNA thin films
DNA is considered as a useful building bio-material, and it serves as an efficient template to align functionalized nanomaterials. Riboflavin (RF)-doped synthetic double-crossover DNA (DX-DNA) lattices and natural salmon DNA (SDNA) thin films are constructed using substrate assisted growth and drop-casting methods, respectively, and their topological, chemical, and electro-optical characteristics were evaluated. The critical doping concentration of RF ([RF]C, ~5 mM) at given concentrations of DX-DNA and SDNA were obtained by observing the phase transition (from crystalline to amorphous structures) of DX-DNA and precipitation of SDNA in solution above [RF]C. [RF]C are verified by analyzing the atomic force microscopy images for DX-DNA and current, absorbance, and photoluminescence for SDNA. We study the physical characteristics of RF-embedded SDNA thin films, which are the Fourier transform infrared (FTIR) spectrum to understand the interaction between the RF and DNA molecules, current to evaluate the conductance, absorption to understand the RF binding to the DNA, and photoluminescence (PL) to analyze the energy transfer between the RF and DNA. The current and UV absorbance band of SDNA thin films decrease up to [RF]C followed by an increase above [RF]C. In contrast, the PL intensity illustrates the reverse trend, as compared to the current and UV absorbance behavior as a function of the varying [RF]. Due to the intense PL characteristic of RF, the DNA lattices and thin films with RF might offer immense potential to develop efficient bio-sensors and useful bio-photonic devices.
Data from: Uncovering changes in spider orb-web topology due to aerodynamic effects
An orb-weaving spider's likelihood of survival is influenced by its ability to retain prey with minimum damage to its web and at the lowest manufacturing cost. This set of requirements has forced the spider silk to evolve towards extreme strength and ductility to a degree that is rare among materials. Previous studies reveal that the performance of the web upon impact may not be based on the mechanical properties of silk alone, aerodynamic drag could play a role in the dissipation of the prey's energy. Here, we present a thorough analysis of the effect of the aerodynamic drag on wind load and prey impact. The hypothesis considered by previous authors for the evaluation of the drag force per unit length of thread has been revisited according to well-established principles of fluid mechanics, highlighting the functional dependence on thread diameter that was formerly ignored. Theoretical analysis and finite-element simulations permitted us to identify air drag as a relevant factor in reducing deterioration of the orb web, and to reveal how the spider can take greater—and not negligible—advantage of drag dissipation. The study shows the beneficial air drag effects of building smaller and less dense webs under wind load, and larger and denser webs under prey impact loads. In essence, it points out why the aerodynamics need to be considered as an additional driving force in the evolution of silk threads and orb webs.
Data from: Resilience or robustness: identifying topological vulnerabilities in rail networks
Many critical infrastructure systems have network structure and are under stress. Despite their national importance, the complexity of large-scale transport networks means we do not fully understand their vulnerabilities to cascade failures. The research in this paper examines the interdependent rail networks in Greater London and surrounding commuter area. We focus on the morning commuter hours, where the system is under the most demand stress. There is increasing evidence that the topological shape of the network plays an important role in dynamic cascades. Here, we examine whether the different topological measures of resilience (stability) or robustness (failure) are more appropriate for understanding poor railway performance. The results show that resilience and not robustness has a strong correlation to the consumer experience statistics. Our results are a way of describing the complexity of cascade dynamics on networks without the involvement of detailed agent-based-models, showing that cascade effects are more responsible for poor performance than failures. The network science analysis hints at pathways towards making the network structure more resilient by reducing feedback loops.
Role of Berry phase theory for describing orbital magnetism: From magnetic heterostructures to topological orbital ferromagnets
<p>Data for related publication</p>
Dataset underpinning: "Scalable Neural Decoder for Topological Surface Codes"
<p>The dataset belonging to the paper: Scalable Neural Decoder for Topological Surface Codes</p>
Prevalence of two-dimensional photonic topology
<p>A dataset of two-dimensional photonic crystals and their attendant topological properties.</p>
Integer topological defects organize stresses driving tissue morphogenesis
<p>Raw data files</p>
Network topology and patch connectivity affect dynamics in experimental and model metapopulations
<p>Biological populations are rarely isolated in space and instead interact with others via dispersal in metapopulations. Theory predicts that network connectivity patterns can have critical effects on network robustness, as certain topologies, such as scale-free networks, are more tolerant to disturbances than other patterns. However, at present, experimental evidence of how these topologies affect population dynamics in a metapopulation framework is lacking. We used experimental metapopulations of the aquatic protist <i>Paramecium tetraurelia</i> to determine how network topology influences occupation patterns. We created metapopulations engineered to be comparable in linkage density, but differing in their degree distribution. We compared random networks to scale-free networks by evaluating local population occupancy and abundance throughout 18-30 protist generations. In parallel, we used simulations to explore differences in patch occupation patterns among topologies. Under one scenario, random metapopulations of P. tetraurelia reached higher abundance and higher occupancy (proportion of occupied patches) compared to scale-free systems in both experimental and simulated systems, while in the other both types of metapopulations performed similarly. Increasing patch degree (i.e., number of connections per patch) reduced the probability of extinction of local populations in both types of networks. We suggest the interaction between colonization/extinction rates and network topology alters the likelihood of rescue effects which results in differential patterns of occupancy and abundance in metapopulations.</p>
Nanoscale binding site localization by molecular distance estimation on native cell surfaces using topological image averaging
<p>Antibody binding to cell surface proteins plays a crucial role in immunity and the location of an epitope can altogether determine the immunological outcome of a host-target interaction. Techniques available today for epitope identification are costly, time-consuming, and unsuited for high-throughput analysis. Fast and efficient screening of epitope location can be useful for the development of therapeutic monoclonal antibodies and vaccines. The cellular morphology typically varies, and antibodies often bind heterogeneously across a cell surface, making traditional particle-averaging strategies challenging for accurate native antibody localization. In the present work, we have developed a method, SiteLoc, for imaging-based molecular localization on cellular surface proteins. Nanometer-scale resolution is achieved through localization in one dimension, namely the distance from a bound ligand to a reference surface, by using topological image averaging. Our results show that this method is well suited for antibody binding site measurements on native cell surface morphology and that it can be applied to other molecular distance estimations as well.</p>
Fig. 3. The Bayesian topology plotted onto a in Phylogeny of the Hawkmoth Tribe Ambulycini (Lepidoptera: Sphingidae): Mitogenomes from Museum Specimens Resolve Major Relationships
Fig. 3. The Bayesian topology plotted onto a map of the Earth.
Supplementary data for "Topological polarons in halide perovskites"
Open the record for dataset details and reuse information.
Supplementary data for "Topological polarons in halide perovskites"
Open the record for dataset details and reuse information.
Near-field experimental dataset for the Article "Deep Subwavelength Topological Edge State in a Hyperbolic Medium"
Open the record for dataset details and reuse information.
Raw data for "3D Quantum Anomalous Hall Effect in Magnetic Topological Insulator Trilayers of Hundred-Nanometer Thickness"
Open the record for dataset details and reuse information.
Data for "Dirac-fermion-assisted interfacial superconductivity in epitaxial topological-insulator/iron-chalcogenide heterostructures"
Open the record for dataset details and reuse information.
Spontaneous reversal of spin chirality and competing phases in the topological magnet EuAl4 - Data set
Open the record for dataset details and reuse information.
Topology generation and quantitative stiffness analysis for fiber networks based on disordered spatial truss
Open the record for dataset details and reuse information.
A General Optimization Model for Coupling Topology and Nodal Coordinates in Large-Scale Biorthogonal Tensegrity Structures
Open the record for dataset details and reuse information.
Dataset for the manuscript "Realizing the entanglement Hamiltonian of a topological quantum Hall system", arxiv:2307.06251
Open the record for dataset details and reuse information.
Data for "Long-range crossed Andreev reflection in topological insulator nanowires proximitized by a superconductor"
<p>add readme into theory repo</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.