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695 results for “topologies”
Data from: Fullerene-like structures of Cretaceous crinoids reveal topologically limited skeletal possibilities
In general there are few cases where numbers or types of possible phenotypes are known, although vast state spaces have been postulated. Rarely applied in this context, graph theory and topology enable enumeration of possible phenotypes and evolutionary transitions. Here, we generate polyhedral calyx graphs for the Late Cretaceous, stemless crinoids Marsupites testudinarius and Uintacrinus socialis (Uintacrinoidea Zittel 1879) revealing structural similarities to carbon fullerenes and fulleroids (respectively). The Uintacrinus calyx incorporates numerous plates (e.g. |V| ≥ 197), which are small, light, low-density and have 4 to 8 sides. Therefore, the corresponding number of possible plate arrangements, given by the number of polyhedral graphs, is large (>> 〖1×10〗^14). Graph vertices representing plates with sides > 6 introduce negative Gaussian curvature and topological instability. However, observed Uintacrinus graph cardinalities (|V|) do not allow more stable pentaradial configurations. In contrast, the Marsupites calyx dual graph has 17 faces that are pentagonal or hexagonal. Therefore, it is structurally identical to a carbon fullerene, specifically C30-D5h. Corresponding graph restrictions result in radical constraint to only three structural options. Further restriction to pentaradial symmetry allows only one possibility: the Marsupites phenotype. This robust, stable topology is consistent with adaptation to the predation pressures of the Mesozoic marine revolution. Consequently, the most plausible evolutionary pathway between unitacrinoid phenotypes was a mixed heterochronic trade-off to fewer, larger calyx plates. Therefore, topological limitations radically constrained uintacrinoid skeletal possibilities but thereby aided evolution of a novel adaptive phenotype.
Topological Overlap Matrices for DNA Methylation data of Gestational Diabetes Cohort with BMI and Exposure Status
<p>DNA methylation in placenta was measured with the Infinium HumanMethylation450 BeadChip (Illumina, Inc) microarray, in a sample of 28 women, 20 of whom had a gestational diabetes (GD)-affected pregnancy and 8 who did not. We used GD status as our exposure variable, assuming that this has widespread effects on DNA methylation and on its correlation patterns. Our response, Y, is the standardized body mass index (BMI) in the offspring at the age of 5. For the 10,000 most variable probes, we provide 3 topological overlap matrices (TOM), which are used in our analysis (note that each of the following TOM matrices are a 10,000 by 10,000 symmetric matrix with row names and column names corresponding to the CpG probe IDs:</p> <ol> <li>TOM_Methylation_All_10k.rds: based on all 28 subjects, </li> <li>TOM_Methylation_E0_10k.rds: based on the 8 subjects without a GD-affected pregnancy</li> <li>TOM_Methylation_E1_10k.rds: based on the 20 subjects with a GD-affected pregnancy </li> </ol> <p>The BMI (phenotype) and GD status (exposure) are given in the following dataset:</p> <ol> <li>BMI_and_Exposure_Status.rds: 28 x 2 matrix of the phenotype and exposure. each row is a subject.</li> </ol> <p>Using our ECLUST method (preprint available at http://sahirbhatnagar.com/slides/manuscript1_SB_v4.pdf), we derive 77 clusters, and here we provide the 1st principal component of each cluster:</p> <ol> <li>Cluster_Summary_1stPC.rds: 28 x 77 matrix, where each row is a subject, in the same order as the BMI_and_Exposure_Status.rds data</li> <li>Cluster_CpGs_names.rds: a list of length 77, where each element of the list contains the list of CpG probe IDs contained in each of the clusters</li> </ol> <p>To read in the data use the readRDS function, e.g.:</p> <p>TOM_All <- readRDS(file = "TOM_Methylation_All_10k.rds")</p>
Dataset package for the manuscript "Topological aspects of multi-$\bm{k}$ antiferromagnetism in cubic rare-earth compounds"
<p><strong>Dataset 1:</strong></p><p><strong>Title:</strong> Magnetic phase diagrams of HoCu, ErCu, and TmCu for magnetic field along the [111] axis.</p><p><strong>Description:</strong></p><p>Maxima and points of inflection observed in AC magnetic susceptibility data are stored in "HoCu111_1.dat", "HoCu111_2.dat", "HoCu111_3.dat", "HoCu111_4.dat", "ErCu111_FS.dat", "ErCu111_TS.dat", "TmCu111_FS.dat", and "TmCu111_TS.dat". The first and second columns correspond to temperature and field values of these points, respectively.</p><p> </p><p><strong>Dataset 2:</strong></p><p><strong>Title:</strong> Magnetization and electrical transport properties of bulk TmCu at <i>T </i>= 2K for magnetic field along [111].</p><p><strong>Description:</strong></p><p>The field dependence of the magnetization, longitudinal electrical resistivity, and transverse electrical resistivity are stored in the files "TmCuMagnetization.dat", "TmCuRhoxx.dat", and "TmCuRhoxy.dat", respectively. Contributions to the transverse resistivity that are associated with the normal Hall effect are stored in "TmCuRhoxynormalHall.dat". Anomalous Hall effect contributions that are linear in the magnetization are stored in "TmCuRhoxyAHE.dat".</p><p> </p><p><strong>Dataset 3:</strong></p><p><strong>Title: </strong> Magnetic neutron diffraction intensity as a function of temperature in HoCu at zero magnetic field.</p><p><strong>Description:</strong></p><p>Magnetic neutron diffraction intensity, as recorded by means of rocking-scans of the sample at the single-crystal diffractometer HEiDi (FRMII, Garching), centered around the reciprocal-space position <i><strong>Q</strong></i>0 = (1.5, 1.5, 1), are presented in "HoCuNeutronDiffraction_Int.dat" in terms of a 81 times 25 matrix. The presented intensity is normalized to the monitor. The first index enumerates the momentum transfer difference with respect to the reciprocal-space position <i><strong>Q</strong></i>0 and the second index the temperatures. The respective values are stored in "HoCuNeutronDiffraction_Q.dat" and "HoCuNeutronDiffraction_T.dat".</p>
Supporting information for: Accounting for the topology of road networks to better explain human-mediated dispersal in terrestrial landscapes
<p><span>Human trade and movements are central to biological invasions worldwide. Human activities not only transport species across biogeographical barriers but also accelerate their post-introduction spread in the landscape. Thus, by constraining human movements, the spatial structure of road networks might greatly affect the regional spread of invasive species. However, few invasion models have accounted for the topology of road networks so far, and its importance for explaining the regional distribution of invasive species remains mostly unexplored.</span><span> To address this issue, we developed a spatially explicit and mechanistic human-mediated dispersal model that accounts and tests for the influence of transport networks on the regional spread of invasive species. Using as a model the spread of the invasive ant <em>Lasius</em> <em>neglectus</em> in the middle Rhône valley (France), we show that accounting for the topology of road networks improves our ability to explain the current distribution of the invasive ant. In contrast, we found that using human population density as a proxy for the frequency of transport events decreases models' performance and might thus not be as appropriate as previously thought. Finally, by differentiating road networks into sub-networks, we show that national and regional roads are more important than smaller roads for explaining spread patterns. Overall, our results demonstrate that the topology of transport networks can strongly bias regional invasion patterns and highlight the importance of better incorporating it into future invasion models. The mechanistic modelling approach developed in this study should help invasion scientists explore how human-mediated dispersal and topography shape invasion dynamics in landscapes. Ultimately, our approach could be combined with demographic, natural dispersal and environmental suitability models to refine spread scenarios and improve invasive species monitoring and management at regional to national scales.</span></p>
Mechanical Comparison of Arrangement Strategies for Topological Interlocking Assemblies: Abaqus input files
<p>Topological Interlocking assemblies are arrangements of blocks kinematically constrained by a fixed frame, such that all rigid body motions of each block are constrained only by its permanent contact with other blocks and the frame. In the literature several blocks are introduced that can be arranged into different interlocking assemblies.<br><br>In this study we investigate the influence of arrangement on the overall structural behaviour of the resulting interlocking assemblies.<br>This is performed using the Versatile Block, as it can be arranged in three different doubly periodic ways given by wallpaper symmetries.<br><br>Our focus lies on the load transfer mechanisms from the assembly onto the frame.<br>For fast a priori evaluation of the assemblies we introduce a combinatorial model called Interlocking Flows.<br><br>To investigate our assemblies from a mechanical point of view we conduct several finite element studies. These reveal a strong influence of arrangement on the structural behaviour, for instance, an impact on both the point and amount of maximum deflection.<br>The results of the finite element analysis are in very good agreement with the predictions of the Interlocking Flow model.</p>
Data from: Phylogenomics and topological conflicts in the tribe Anthospermeae (Rubiaceae)
<p>Genome skimming (shallow whole-genome sequencing) offers time- and cost-efficient production of large amounts of DNA data that can be used to address unsolved evolutionary questions. Here we address phylogenetic relationships and topological incongruence in the tribe Anthospermeae (Rubiaceae), using phylogenomic data from the mitochondrion, the nuclear ribosomal cistron, and the plastome. All three genomic compartments resolve relationships in the Anthospermeae; the tribe is monophyletic and consists of three major subclades. Carpacoce Sond. is sister to the remaining clade, which comprises an African subclade and a Pacific subclade. Most results, from all three genomic compartments, are statistically well-supported; however, not fully consistent. Intergenomic topological incongruence is most notable in the Pacific subclade but present also in the African subclade. Hybridization and introgression followed by organelle capture may explain these conflicts but other processes, such as incomplete lineage sorting (ILS), can yield similar patterns and cannot be ruled out based on the results. Whereas the null hypothesis of congruence among all sequenced loci in the individual genomes could not be rejected for nuclear and mitochondrial data, it was rejected for plastid data. Phylogenetic analyses of three subsets of plastid loci identified using hierarchical likelihood ratio test demonstrated statistically supported intragenomic topological incongruence. Given that plastid genes are thought to be fully linked, this result is surprising and may suggest modelling or sampling error. However, biological processes such as biparental inheritance and inter-plastome recombination have been reported and may be responsible for the observed intragenomic incongruence. Mitochondrial insertions into the plastome are rarely documented in angiosperms. Our results indicate that a mitochondrial insertion event in the plastid trnSGGA-rps4 IGS region occurred in the common ancestor of the Pacific clade of Anthospermeae. Exclusion/inclusion of this locus in phylogenetic analyses had strong impact on topological results in the Pacific clade.</p>
Anomalous and Chern topological waves in hyperbolic networks
<p>Data and codes for the paper "Anomalous and Chern topological waves in hyperbolic networks", by Q. Chen et al.</p>
Data for: Fractional Topological Charges in 2D Magnets
<p>We provide the data files and, where relevant, simulation files (written in go) for each of the four figures in the main text.</p> <p>To run the .go files, place them in the same directory with the .smp files and execute sbatch "simulation_file_name.smp". Note that "drivenDefect.smp" will only run if the initial magnetisation data file "m_200x1000y_centred_Delta_1.25_NegB0_arrIndB0_2.ovf" is placed in a subdirectory "initialDefectCentred" of the same directory. </p> <p>We use three different ways of presenting the data for magnetisation, topological charge density and the velocity data for Fig. 4c. Magnetisation data follow the format "{{x,y,z},{Mx,My,Mz}}", while topological charge density data follow "..{x,y,\rho_{top}}..". Note that the y index runs over the outer lists, while the x index runs over the inner lists, so to retrieve e.g. the 5th column and 3rd row of a data file, use dataFile[[5,3]], after importing the data file into "dataFile". For the velocity data, we use "{w,vx,vy}.." (note that only the vy data was used in Fig.1c).</p>
Detection of ghost introgression requires exploiting topological and branch length information
<p><span>In recent years, the study of hybridization and introgression has made significant progress, with ghost introgression</span><span>—</span><span>the transfer of genetic material from extinct or unsampled lineages to extant species—emerging as a key area for research. Accurately identifying ghost introgression, however, presents a challenge. To address this issue, we focused on simple cases involving three species with a known phylogenetic tree. Using mathematical analyses and simulations, we evaluated the performance of popular phylogenetic methods, including HyDe and PhyloNet/MPL, and the full-likelihood method, </span><span>Bayesian Phylogenetics and Phylogeography</span><span> (BPP), in detecting ghost introgression. Our findings suggest that heuristic approaches relying on site-pattern counts or gene-tree topologies struggle to differentiate ghost introgression from introgression between sampled non-sister species, frequently leading to incorrect identification of donor and recipient species. The full-likelihood method BPP using multilocus sequence alignments </span><span>directly—hence taking into account both gene-tree topologies and branch lengths, </span><span>by contrast, is capable of detecting ghost introgression in phylogenomic datasets. We analyzed a real-world phylogenomic dataset of 14 species of Jaltomata (Solanaceae) to showcase the potential of full-likelihood methods for accurate inference of introgression.</span></p>
NANCY SNS-JU Project - Fronthaul network of fixed topology Usage Scenario - Dataset 1
<p>In the context of the NANCY project (https://nancy-project.eu/), this Dataset provides input data for the development of the B-RAN and attacks models for the NANCY framework, to model training and model inference functions. The data collected plays the role of ML algorithm-specific data preparation. The dataset contains time-series, collected transmitting a video content through the Italtel "VTU - video streaming and transcoding application", that can convert audio and video streams from one format to another, at multiple encodings schemes, changing resolution, bitrate, and video parameters. The data collected are related to the observation of some of the resources involved in the Usage Scenario: “Fronthaul network of fixed topology – Direct Connectivity”. In the Italtel Italian in-lab testbed, a MEC assisted 5G network scenario with a video streaming application for generating traffic is provided. Two different scenarios were set-up, related to downstream and upstream video flows. The variety of collected features ranges from radio front-end metrics to physical server operating system and network function metrics. The dataset consists of raw network traffic and extracted flow-based data captured in separate files. Each file captured is associated to a 10min video streaming of the “Big Buck Bunny” video. This video was transmitted on two different bands, N3 and N78, with different resolutions, 480p, 720p, 1080p; both in uplink (UL) and in downlink (DL); the type of protocol monitored is “HTTP protocol”; in case of N78 band, data related to the resource usage were also captured, for a total of more that 100 data files.</p> <p>The collected dataset is representative resource-intensive video traffic that has the greatest impact on 5G/B5G network planning and provisioning. The video streaming dataset includes data directly measured while watching the video on the mobile devices and data directly measured while generating downstream video stream traversing the gNB (i.e., downstream scenario), and vice versa (i.e., upstream scenario). In each experiment, we fixed the location of the UE and the gNB.</p> <p>The NANCY project has received funding from the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union's Horizon Europe research and innovation programme under Grant Agreement No 101096456.</p>
Data for: Hidden non-collinear spin-order induced topological surface states
<p>Rare-earth monopnictides are a family of materials simultaneously displaying complex magnetism, strong electronic correlation, and topological band structure. The recently discovered emergent arc-like surface states in these materials have been attributed to the multi-wave-vector antiferromagnetic order, yet the direct experimental evidence has been elusive. Here we report the observation of non-collinear antiferromagnetic order with multiple modulations using spin-polarized scanning tunneling microscopy. Moreover, we discover a hidden spin-rotation transition of single-to-multiple modulations 2 K below the Neel temperature. The hidden transition coincides with the onset of the surface state splitting observed by our angle-resolved photoemission spectroscopy measurements. Single modulation gives rise to a band inversion with induced topological surface states in a local momentum region while the full Brillouin zone carries trivial topological indices, and multiple modulation further splits the surface bands via non-collinear spin tilting, as revealed by our calculations. The direct evidence of the non-collinear spin order in NdSb not only clarifies the mechanism of the emergent topological surface states but also opens up a new paradigm of control and manipulation of band topology with magnetism.</p>
Localised Thermal Emission from Topological Interfaces
<p>Dataset and simulation files for the manuscript "Localised Thermal Emission from Topological Interfaces".</p>
Electric-field induced multiferroic topological solitons
<p>Data related to the publication "Electric-field induced multiferroic topological solitons" to appear in Nature Materials.</p>
FLAMINGo video: Topology Optimisation (Steering Knuckle)
<p>Presentation of the topology optimised steering knuckle component that was developed by our partner OGI. The new component can achieve a maximum of 50% reduction in weight compared to the current available components in the market.</p>
Observation of strong backscattering in valley-Hall photonic topological interface modes
<p><span>Dataset required to reproduce the figures in the main text and supplementary information of: Rosiek, C.A., Arregui, G., Vladimirova, A. <em><span>et al.</span></em> Observation of strong backscattering in valley-Hall photonic topological interface modes. <em><span>Nature Photonics</span></em> <strong><span>17</span></strong>, 386–392 (2023).</span></p> <p><span>Execution of scripts to generate the figures tested on Windows with Matlab 2020b or newer. COMSOL models generated and solved on version 6.0. Unzip folder to access all files.</span></p> <p><span>Scripts are named according to the associated figures of the main manuscript:</span></p> <p><span> - fig1_transmittances.m generates the graphs of Fig. 1.</span></p> <p><span> - fig2_pti_dispersion.m generates the graphs of Fig. 2.</span></p> <p><span> - fig3etc_main_analysis.m (which calls subroutine fig3etc_main_analysis_sub.m) generates graphs of Fig. 3 and 4 as well as Supplementary Figures S6 and S11.</span></p> <p><span> - </span><span>fig5c_fffits.m and fig5d_ffmap.m generates plots of Fig. 5c and d, respectively. fig5_load_images.m performs preprocessing required to run fig5c_fffits.m and fig5d_ffmap.m from the raw data alone.</span></p> <p><span> - fig_s10_w1_loss_analysis.m generates the graphs of Fig. S10.</span></p> <p><span>Note that the data analysis also makes use of data derived from COMSOL simulations. The COMSOL MPH simulation files are contained within the subfolders of contrib.</span></p> <p><span>Contact chanro@dtu.dk for any inquiry on the contents.</span></p> <p> </p>
An aperiodic chiral tiling by topological molecular self-assembly
<p>Data used in preparation of publication 'An aperiodic chiral tiling by topological molecular self-assembly'</p>
Lake-TopoCat: A global Lake drainage Topology and Catchment database
<p><strong>Contact</strong>: Md Safat Sikder (mssikder@illinois.edu), Jida Wang (jidaw@illinois.edu)</p> <p> </p> <p><strong>Citation</strong></p> <p>If you use Lake-TopoCat, please cite the following paper:</p> <p>Sikder, M. S., Wang, J., Allen, G. H., Sheng, Y., Yamazaki, D., Song, C., Ding, M., Crétaux, J.-F., and Pavelsky, T. M., 2023. Lake-TopoCat: A global lake drainage topology and catchment dataset. <em>Earth System Science Data</em>, 15, 3483-3511, <a href="https://doi.org/10.5194/essd-15-3483-2023">https://doi.org/10.5194/essd-15-3483-2023</a>.</p> <p> </p> <p><strong>Data description and components</strong><br>This version of Lake-TopoCat was constructed using the SWOT Prior Lake Database (PLD) v106 (<em>Wang et al.</em>, 2023) lake mask and the 3-arc-second-resolution hydrography dataset MERIT Hydro v1.0.1 (<em>Yamazaki et al.</em>, 2019). The drainage type of each PLD lake, such as isolated, inflow-headwater, headwater, flow-through, terminal, and coastal, was determined with assistance of MERIT Hydro-Vector (<em>Lin et al.</em>, 2021), a high-resolution river network dataset with spatially-variable drainage densities.</p> <p><br>For convenience, the global landmass (excluding Antarctica) was partitioned to 68 Pfafstetter Level-2 basins or regions, and the Lake-TopoCat data products were also organized based on these 68 regions, with their region or basin IDs shown in the Fig. 'Pfaf2_basins.jpg', attached to this database.</p> <p><br>Lake-TopoCat consists of five feature components, each with multiple attributes depicting lake drainage relationships. The five features are:</p> <p><strong>1. Lake boundaries:</strong> polygons of 5,893,363 PLD lakes, larger than 1 ha.</p> <p> File name: <em>Lakes_pfaf_xx </em>where, 'pfaf_xx' indicates the Pfafstetter Level-2 basin ID (shown in Fig. 'Pfaf2_basins.jpg')</p> <p><strong>2. Lake outlets:</strong> points representing outlet or pour points of each individual lake. There are multiple outlets from a multifurcation lake. We identified 5,983,642 outlets for 5,893,363 lakes, where 83,819 lakes (~1.4% of the global lakes) show bi/multifurcation.</p> <p> File name: <em>Outlets_pfaf_xx</em></p> <p><strong>3. Unit catchment:</strong> boundary polygons of catchment defining the drainage areas between cascading (i.e., immediately upstream and downstream) lake outlets. The count of unit catchments equal to the count of lake outlets, and bifurcation or multifurcation lakes have multiple local catchments. In total, the delineated catchments in Lake-TopoCat cover about 85.1 million km2, which is about 63% of the Earth’s land mass excluding the Antarctic.</p> <p> File name: <em>Catchments_pfaf_xx</em></p> <p><strong>4. Inter-lake reaches:</strong> line features defining the drainage networks that connect the lake outlets to the inland sinks or the ocean. About 11 million connecting reaches were generated among ~6 million outlets. The total length of these inter-lake connecting reaches is ~19 million km, which is at least 8.75 times longer than the SWOT-visible river reaches as depicted in the SWOT River Database (SWORD) v16 (<em>Altenau et al.</em>, 2021).</p> <p> File name: <em>Reaches_pfaf_xx</em></p> <p><strong>5. Lake-network basins:</strong> boundary polygons of the entire drainage area containing each inter-lake network (i.e., a complete basin from the headwater to an inland sink or the ocean for all basins containing lakes). A total of 108,985 lake-network basins were identified. Among them, endorheic basins account for 2.75% by count and 19.5% by area of all lake-network basins. These endorheic basins cover ~17.5% of global surface excluding Antarctica.</p> <p> File name: <em>Basins_pfaf_xx</em></p> <p>The attribute tables for each of the feature components are explained in Section 4 of the product description document. For user convenience, we release the preliminary Lake-TopoCat lake outlets, unit catchments, and inter-lake reaches, with the affix '_prelim' in the file names (explained in the attached product description document). We also provide the polygon boundaries of the 68 Pfafstetter basins or regions in the file named 'Pfaf2_regions'. All files of Lake-TopoCat are available in both shapefile and geodatabase formats.</p> <p> </p> <p><strong>Disclaimer</strong><br>Authors of this dataset claim no responsibility or liability for any consequences related to the use, citation, or dissemination of Lake-TopoCat.</p>
Self-Directed Online Machine Learning for Topology Optimization
<p>Code and results of the paper "Self-Directed Online Machine Learning for Topology Optimization".</p> <p>See latest updates at https://github.com/deng-cy/deep_learning_topology_opt</p>
Anomalous magnetic noise in an imperfectly flat landscape in the topological magnet Dy_2Ti_2O_7
<p>Noise generated by motion of charge and spin provides a unique window into materials at the atomic scale. From temperature of resistors to electrons breaking into fractional quasiparticles , “listening” to the noise spectrum is a powerful way to decode underlying dynamics. Here, we use ultrasensitive SQUIDS to probe the puzzling noise in a frustrated magnet, the spin-ice compound Dy2Ti2O7 (DTO), revealing cooperative and memory effects. DTO is the first topological magnet in three dimensions–characterised by an emergent magnetostatics and tell-tale fractionalized magnetic monopole quasiparticles–whose real-time dynamical properties have been an enigma from the very beginning. We show that DTO exhibits highly anomalous noise spectra, differing significantly from the expected Brownian noise of monopole random walks, in three qualitatively different regimes: equilibrium spin ice, a ‘frozen’ regime extending to ultra-low temperatures, as well as a high-temperature ‘anomalous’ paramagnet. We present several distinct mechanisms which give rise to varied coloured noise spectra. In addition, we identify the structure of the local spin-flip dynamics as a crucial ingredient for any modelling. Thus, the dynamics of spin ice reflects the interplay of local dynamics with emergent topological degrees of freedom and a frustration-generated imperfectly flat energy landscape, and as such points to intriguing cooperative and memory effects for a broad class of magnetic materials</p>
Circuit-QED characterization of a topological Josephson junction
<p>The search for topological superconductivity in topological insulator (TI) nanowires have attracted a lot of interest due to potential applications in the field of topologically protected quantum computation [1-3]. One route to emulate unconventional superconductivity is to build a topological Josephson junction from a TI nanowire (Bi<sub>2</sub>Se<sub>3</sub>) connected to two conventional superconducting electrodes (Al). Such topological Josephson junctions are expected to host Majorana zero-energy modes (bound states) when they are phase-biased at pi. The bound state spectrum of a junction hosting several transport modes consists of topological trivial Andreev bound states and topologically protected Majorana bound states. The phase dependence of those bound states has been studied experimentally using a circuit-QED-like setup, where the topological junction is embedded in a superconducting resonator. Here the frequency response of the coupled resonator/junction system to an externally applied magnetic field (phase bias) at various temperatures is used to deduce information about the phase dependence of the bound state spectrum of the junction. I detail, the contributions to the junction dissipation (which is directly reflected in the inverse quality factor of the coupled resonator/junction system) originating from zero-energy bound states and topological trivial Andreev bound states are rather distinct, which is mainly reflected in their phase bias dependence around and their evolution in temperature.</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.