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1,049 results for “robustness”
Figure 2 from: Ito K, Anglin J, Kim H, Liew S (2017) Semi-automated Robust Quantification of Lesions (SRQL) Toolbox. Research Ideas and Outcomes 3: e13395. https://doi.org/10.3897/rio.3.e13395
Figure 2 - Testing of SRQL toolbox on a single lesion mask. A. The stroke subject's T1 anatomical scan; B. The original lesion mask in red; C. the overlayed purple mask is the lesion segmentation after white matter intensity correction. As shown here, voxels considered to be in the healthy range have been removed by the SRQL toolbox.
BARO: Robust Root Cause Analysis for Microservices via Multivariate Bayesian Online Change Point Detection
<p>Artifacts for the paper titled <strong><em>BARO: Robust Root Cause Analysis for Microservices via Multivariate Bayesian Online Change Point Detection</em></strong>.</p> <p>This artifact repository contains 3 compressed folders, as follows: </p> <table> <tbody> <tr> <td><strong>File Name</strong></td> <td><strong>Benchmark System</strong></td> </tr> <tr> <td>fse-ob.zip</td> <td>Online Boutique</td> </tr> <tr> <td>fse-ss.zip</td> <td>Sock Shop</td> </tr> <tr> <td>fse-tt.zip</td> <td>Train Ticket</td> </tr> </tbody> </table> <p>Each zip file contains the collected data from the corresponding microservice benchmark systems (e.g., fse-ob.zip contains metrics data collected from the Online Boutique system). </p> <p><strong><strong>Data description</strong></strong></p> <p>To collect the metrics data, we deploy three benchmark microservice systems: Online Boutique, Sock Shop, and Train Ticket, on a Kubernetes cluster consisting of one master node and five worker nodes. Then, we deploy a monitoring system to monitor and collect resource-level and service-level metrics. To generate traffic, we use the load generators supplied by these systems and tailor them to explore all services with a load of 40-50 requests per second. Initially, we operate the applications normally to gather metrics data under normal conditions. Then, we inject faults into the running services. We execute into the designated container using kubectl exec. For CPU hog and memory leak, we use stress-ng to stress the container resource. For network delay and packet loss, we use tc (traffic control) to manipulate the traffic of the container. Specifically, we inject faults into five targeted services of Sock Shop (carts, catalogue, orders, payment, and user), five targeted services of Online Boutique (adservice, cartservice, checkoutservice, currencyservice, and productcatalogue), and five targeted services of Train Ticket (ts-auth-service, ts-order-service, ts-route-service, ts-train-service, ts-travel-service). For each combination of fault type and targeted service, we repeat the operation (i.e., fault injection and metrics data collection) five times, resulting in 100 failure cases for each benchmark microservice system.</p> <p><strong>Code</strong></p> <p>The code to reproduce the experimental results in the paper is available at <a href="https://github.com/phamquiluan/baro">https://github.com/phamquiluan/baro</a>.</p>
A joint embedding of protein sequence and structure enables robust variant effect predictions
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Robust Radiotherapy
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Reply to Žárský and Eliáš: Robust Klebsormidiophyceae and an enigmatic Streptofilum
<p>Concatenated alignments and maximum likelihood trees</p>
Data from "Robust ENSO Teleconnection to North Pacific and Southwest Coast of North America in the Late Cretaceous Greenhouse"
<p>The El Niño-Southern Oscillation (ENSO) exerts impacts on global climate through atmosphere teleconnections. Geological records from deep-time greenhouse periods suggest possible existence of past ENSO teleconnections, but the associated mechanisms for deep-time ENSO teleconnections remain unknown. Here, we investigate the teleconnection between ENSO and the southwest coast of North America (SWNA) during the Late Cretaceous based on paleoclimate simulations and sedimentary archives. We find that under the forcing from high pCO2 levels and absence of the Bering Seaway in Late Cretaceous, ENSO teleconnection to SWNA was primarily conducted by Subtropical High, rather than Aleutian Low. Consequently, the Westerlies, sensitive to changes in Subtropical High, shifted longitudinally, leading to alterations in moisture transportation to SWNA. Our study suggests that absence of Bering Seaway in the Late Cretaceous, resulted in pressure anomalies that partially inhibited the ENSO-SWNA teleconnection, but higher pCO2 levels facilitated this process through a more sensitive mid-latitude pressure system.</p>
SI_Robust Increase in South Asian Monsoon Rainfall Under Global Warming Driven by Southern Ocean Heat Uptake and Eurasia Cloud Changes
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A robust synthetic data generation framework for machine learning in High-Resolution Transmission Electron Microscopy (HRTEM): Datasets
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Optimal network sizes for most robust Turing patterns
<p>Dataset for Figures 3 and 4.</p>
System Data for Robust Scheduling of Integrated Electricity and Gas Systems: A Cost and Flexibility Assessment
<p><span>This data is published as a supplement to the following reference:</span></p> <p><span>B. Akbari and G. Sansavini, “Robust scheduling of integrated electricity and gas systems: A cost and flexibility assessment,” <em>International Journal of Electrical Power & Energy Systems</em>, vol. 160, p. 110107, Sep. 2024, doi: <a href="https://doi.org/10.1016/j.ijepes.2024.110107">10.1016/j.ijepes.2024.110107</a>.</span></p>
Text-fig. 1. Eospondylus primigenius (STÜRTZ) Bundenbach, Eschenbach-Bocksberg quarry, Lower Devonian, Lower Emsian (Zlichovian), Hunsrück Slate, specimens PWL 1996 57LS (NMM) top image (A) x 1.5, and PWL 1996 66LS (NMM) bottom image (B) x 1.7. Specimen with rays bent into strong curves. Such flexibility and attitudes of rays differentiate the behavioral ecology of Eospondylus from all other Hunsrück Slate ophiuroids. Delicateness of the top specimen and robustness of the bottom specimen is perhaps the combined result of real phenotypic differences, differences of preserved detail, and differences of distortion of the rock. [courtesy of Herbert Lutz and Thomas Engel; photos by Alexander Glass]. in Isolated Ossicles Of The Family Eospondylidae Spencer Wright, 1966, In The Lower Devonian Of Bohemia (Czech Republic) And Correction Of The Systematic Position Of Eospondylid Brittlestars (Echinodermata: Ophiuroidea: Oegophiurida)
Text-fig. 1. Eospondylus primigenius (STÜRTZ) Bundenbach, Eschenbach-Bocksberg quarry, Lower Devonian, Lower Emsian (Zlichovian), Hunsrück Slate, specimens PWL 1996 57LS (NMM) top image (A) x 1.5, and PWL 1996 66LS (NMM) bottom image (B) x 1.7. Specimen with rays bent into strong curves. Such flexibility and attitudes of rays differentiate the behavioral ecology of Eospondylus from all other Hunsrück Slate ophiuroids. Delicateness of the top specimen and robustness of the bottom specimen is perhaps the combined result of real phenotypic differences, differences of preserved detail, and differences of distortion of the rock. [courtesy of Herbert Lutz and Thomas Engel; photos by Alexander Glass].
Figure. Male Robust Woodpecker Campephilus robustus (Estancia Nueva Gambach/Pro Cosara), June 2011 (Photo: Sylvia Qu). in Dew-bathing in the Atlantic Forest endemic Robust Woodpecker Campephilus robustus (Lichtenstein, 1823) (Aves: Picidae)
Figure. Male Robust Woodpecker Campephilus robustus (Estancia Nueva Gambach/Pro Cosara), June 2011 (Photo: Sylvia Qu).
Original data for "A robust, fiber-coupled scanning probe magnetometer using electron spins at the tip of a diamond nanobeam"
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Data for Stefanescu et. al. "Robust implicit quantum control of interacting spin chains"
<p>Codes and data for the paper "Robust implicit quantum control of interacting spin chains."</p>
Versatile and Robust Reservoir Computing with PWM-Driven Heterogenous R-C Circuits
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Ultra robust negative differential resistance memristor for hardware neuron circuit implementation
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Data from: Effects of phylogenetic reconstruction method on the robustness of species delimitation using single-locus data
1. Coalescent-based species delimitation methods combine population genetic and phylogenetic theory to provide an objective means for delineating evolutionarily significant units of diversity. The Generalized Mixed Yule Coalescent (GMYC) and the Poisson Tree Process (PTP) are methods that use ultrametric (GMYC or PTP) or non-ultrametric (PTP) gene trees as input, intended for use mostly with single-locus data such as DNA barcodes. 2. Here we assess how robust the GMYC and PTP are to different phylogenetic reconstruction and branch smoothing methods. We reconstruct over 400 ultrametric trees using up to 30 different combinations of phylogenetic and smoothing methods and perform over 2,000 separate species delimitation analyses across 16 empirical datasets. We then assess how variable diversity estimates are, in terms of richness and identity, with respect to species delimitation, phylogenetic and smoothing methods. 3. The PTP method generally generates diversity estimates that are more robust to different phylogenetic methods. The GMYC is more sensitive, but provides consistent estimates for BEAST trees. The lower consistency of GMYC estimates is likely a result of differences among gene trees introduced by the smoothing step. Unresolved nodes (real anomalies or methodological artefacts) affect both GMYC and PTP estimates, but have a greater effect on GMYC estimates. Branch smoothing is a difficult step and perhaps an underappreciated source of bias that may be widespread among studies of diversity and diversification. 4. Nevertheless, careful choice of phylogenetic method does produce equivalent PTP and GMYC diversity estimates. We recommend simultaneous use of the PTP model with any model-based gene tree (e.g. RAxML) and GMYC approaches with BEAST trees for obtaining species hypotheses.
Data from: Evolution of drift robustness in small populations
Most mutations are deleterious and cause a reduction in population fitness known as the mutational load. In small populations, weakened selection against slightly-deleterious mutations results in an additional fitness reduction. Many studies have established that populations can evolve a reduced mutational load by evolving mutational robustness, but it is uncertain whether small populations can evolve a reduced susceptibility to drift-related fitness declines. Here, using mathematical modeling and digital experimental evolution, we show that small populations do evolve a reduced vulnerability to drift, or 'drift robustness'. We find that, compared to genotypes from large populations, genotypes from small populations have a decreased likelihood of small-effect deleterious mutations, thus causing small-population genotypes to be drift-robust. We further show that drift robustness is not adaptive, but instead arises because small populations can only maintain fitness on drift-robust fitness peaks. These results have implications for genome evolution in organisms with small effective population sizes.
Data from: A robust and representative lower bound on object processing speed in humans
How early does the brain decode object categories? Addressing this question is critical to constrain the type of neuronal architecture supporting object categorization. In this context, much effort has been devoted to estimating face processing speed. With onsets estimated from 50 to 150 ms, the timing of the first face-sensitive responses in humans remains controversial. This controversy is due partially to the susceptibility of dynamic brain measurements to filtering distortions and analysis issues. Here, using distributions of single-trial event-related potentials (ERPs), causal filtering, statistical analyses at all electrodes and time points, and effective correction for multiple comparisons, we present evidence that the earliest categorical differences start around 90 ms following stimulus presentation. These results were obtained from a representative group of 120 participants, aged 18-81, who categorized images of faces and noise textures. The results were reliable across testing days, as determined by test-retest assessment in 74 of the participants. Furthermore, a control experiment showed similar ERP onsets for contrasts involving images of houses or white noise. Face onsets did not change with age, suggesting that face sensitivity occurs within 100 ms across the adult lifespan. Finally, the simplicity of the face-texture contrast, and the dominant midline distribution of the effects, suggest the face responses were evoked by relatively simple image properties and are not face specific. Our results provide a new lower benchmark for the earliest neuronal responses to complex objects in the human visual system.
SimPhy configuration scripts for simulations reported in the study titled: Species tree inference methods intended to deal with incomplete lineage sorting are robust to the presence of paralogs
<p>Many recent phylogenetic methods have focused on accurately inferring species trees when there is gene tree discordance due to incomplete lineage sorting (ILS). For almost all of these methods, and for phylogenetic methods in general, the data for each locus is assumed to consist of orthologous, single-copy sequences. Loci that are present in more than a single copy in any of the studied genomes are excluded from the data. These steps greatly reduce the number of loci available for analysis. The question we seek to answer in this study is: What happens if one runs such species tree inference methods on data where paralogy is present, in addition to or without ILS being present? Through simulation studies and analyses of two large biological data sets, we show that running such methods on data with paralogs can still provide accurate results. We use multiple different methods, some of which are based directly on the multispecies coalescent (MSC) model, and some of which have been proven to be statistically consistent under it. We also treat the paralogous loci in multiple ways: from explicitly denoting them as paralogs, to randomly selecting one copy per species. In all cases the inferred species trees are as accurate as equivalent analyses using single-copy orthologs. Our results have significant implications for the use of ILS-aware phylogenomic analyses, demonstrating that they do not have to be restricted to single-copy loci. This will greatly increase the amount of data that can be used for phylogenetic inference.</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.