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547 results for “Model Tests”
Data for Model test on the passive failure of slurry shield tunneling in circular-gravel stratum
<p>Data for Model test on the passive failure of slurry shield tunneling in circular-gravel stratum.</p>
Hypothesis testing the difference between two Nash-Sutcliffe Efficiencies (NSEs) for comparing the hydrologic model performance
<p>There are data and raw code for testing the hypothesis testing the difference between two Nash-Sutcliffe Efficiencies (<em>NSEs</em>) in our research</p>
Replication package for "Testing Models of Strategic Uncertainty: Equilibrium Selection in Repeated Games"
<p>This package contains the data, analysis code, and experimental software to replicate manuscript "<em>Testing Models of Strategic Uncertainty: Equilibrium Selection in Repeated Games</em>" by the Boczon, Vespa, Weidman and Wilson forthcoming at JEEA.</p>
2018-2020 Dataset [7/7] for the models trained and tested in the paper 'Can AI be enabled to dynamical downscaling? Training a Latent Diffusion Model to mimic km-scale COSMO-CLM downscaling of ERA5 over Italy'
<p>This repository contains part 7/7 of the full dataset used for the models of the <a href="https://arxiv.org/abs/2406.13627">preprint</a> "Can AI be enabled to dynamical downscaling? Training a Latent Diffusion Model to mimic km-scale COSMO-CLM downscaling of ERA5 over Italy". </p> <p>This dataset comprises 3 years of normalized hourly data for both low-resolution predictors [16 km] and high-resolution target variables [2km] (2mT and 10-m U and V), from 2018-2019. Low-resolution data are preprocessed ERA5 data while high-resolution data are preprocessed VHR-REA CMCC data. Details on the performed preprocessing are available in the paper.</p> <p>To use the data, clone the corresponding <a href="https://github.com/DSIP-FBK/DiffScaler">repository</a>, unzip this zip file in the data folder, and download from Zenodo the other parts of the dataset listed in the related works.</p>
Sample dataset for the models trained and tested in the paper 'Can AI be enabled to dynamical downscaling? Training a Latent Diffusion Model to mimic km-scale COSMO-CLM downscaling of ERA5 over Italy'
<p>This repository contains a sample of the input data for the models of the <a href="https://arxiv.org/abs/2406.13627">preprint</a> "Can AI be enabled to dynamical downscaling? Training a Latent Diffusion Model to mimic km-scale COSMO-CLM downscaling of ERA5 over Italy". It allows the user to test and train the models on a reduced dataset (45GB).</p> <p>This sample dataset comprises ~3 years of normalized hourly data for both low-resolution predictors and high-resolution target variables. Data has been randomly picked from the whole dataset, from 2000 to 2020, with 70% of data coming from the original training dataset, 15% from the original validation dataset, and 15% from the original test dataset. Low-resolution data are preprocessed ERA5 data while high-resolution data are preprocessed VHR-REA CMCC data. Details on the performed preprocessing are available in the paper.</p> <p>This sample dataset also includes files relative to metadata, static data, normalization, and plotting.</p> <p>To use the data, clone the corresponding <a href="https://github.com/DSIP-FBK/DiffScaler">repository</a> and unzip this zip file in the data folder.</p>
Systematic Mapping Appendix - Identifying approaches to generate test cases in model-based testing: a
<p>The appendix present the complete mapping of individual studies and its categories.</p>
Training and test datasets for dual-layer network model
<p>Training and test datasets for dual-layer network model</p>
Understanding The Impact of Solver Choice in Model-Based Test Generation
<p><strong># Solver Experiment - Data Package</strong></p> <p>This repository is intended to allow replication and extension of the study<br> conducted in the following paper:</p> <p>Ying Meng and Gregory Gay. Understanding The Impact of Solver Choice in Model-Based Test Generation. To appear, 2020 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM). Available from <a href="https://greg4cr.github.io/pdf/20solvers.pdf">https://greg4cr.github.io/pdf/20solvers.pdf</a>.</p> <p>This package includes all data used or generated in this experiment.<br> * Models<br> * Mutants<br> * Test Suites<br> * Execution Traces<br> * Fault-detection Results</p> <p>If you have any questions on this data, please contact us at greg@greggay.com. <br> </p>
Test Mlinvitrotox model
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A novel turning by yaw modeling and flight test verification for VTOL Wing-in-Ground (WIG) crafts
Open the record for dataset details and reuse information.
Data Tabels (One-dimensional N-layer thermal modelling as a basis for effective machine learning training data generation for nondestructive testing of composite parts.)
Open the record for dataset details and reuse information.
Output of all the models tested on the real time jiggled seismic events
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Dataset of the Automatic Unit Test Generation for Programming Assignments Using Large Language Models
Open the record for dataset details and reuse information.
Data from: Using probability modelling and genetic parentage assignment to test the role of local mate availability in mating system variation.
The formal testing of mating system theories with empirical data is important for evaluating the relative importance of different processes in shaping mating systems in wild populations. Here we present a generally applicable probability modelling framework to test the role of local mate availability in determining a population's level of genetic monogamy. We provide a significance test for detecting departures in observed mating patterns from model expectations based on mate availability alone, allowing the presence and direction of behavioural effects to be inferred. The assessment of mate availability can be flexible and in this study it was based on population density, sex ratio and spatial arrangement. This approach provides a useful tool for (1) isolating the effect of mate availability in variable mating systems and (2) in combination with genetic parentage analyses, gaining insights into the nature of mating behaviours in elusive species. To illustrate this modelling approach, we have applied it to investigate the variable mating system of the mountain brushtail possum (Trichosurus cunninghami) and compared the model expectations with the outcomes of genetic parentage analysis over an 18 year study. The observed level of monogamy was higher than predicted under the model. Thus, behavioural traits, such as mate guarding or selective mate choice, may increase the population level of monogamy. We show that combining genetic parentage data with probability modelling can facilitate an improved understanding of the complex interactions between behavioural adaptations and demographic dynamics in driving mating system variation.
Data from: Is saltmarsh restoration success constrained by matching natural environments or altered succession? a test using niche models
1.Restored habitats, such as saltmarsh created through managed realignment, sometimes fail to meet targets for biological equivalence with natural reference sites. Understanding why this happens is important in order to improve restoration outcomes. 2.Elevation in the tidal frame and sediment redox potential are major controls on the distribution of saltmarsh plants. We use niche models to characterize ten species' responses to these, and test whether differences in species occurrence between restored and natural saltmarshes in the UK result from failure to recreate adequate environmental conditions. 3.Six species occurred less frequently in recently restored marshes than natural marshes. Failure of restored marshes to achieve the elevation and redox conditions of natural marshes partially explained the underrepresentation of five of these species, but did not explain patterns of occurrence on older (> 50 years) restored marshes. 4.For all species, an effect of marsh age remained after controlling for differences in environmental conditions. This could be due to differences in successional mechanism between restored and natural marshes. In recently restored marshes, high-marsh species occurred lower in the tidal frame and low-marsh species occurred at higher elevations than in natural marshes. This supports the hypothesis that competition is initially weaker in restored marshes, because of the availability of bare sediment across the whole tidal frame. Species that establish outside their normal realized niche, such as Atriplex portulacoides, may inhibit subsequent colonization of other species that occurred less frequently than expected on older restored marshes. 5.Synthesis and applications. Niche models can be used to test whether abiotic differences between restored sites and their natural counterparts are responsible for discrepancies in species occurrence. In saltmarshes, simply replicating environmental conditions will not result in equivalent species occurrence.
Testing assumptions of nitrogen cycling between a temperate, model coral host and its facultative symbiont: symbiotic contributions to dissolved inorganic nitrogen assimilation
<p>Coral symbioses are predicated on the need for mutual nutrient acquisition and translocation between partners. Carbon translocation is well-studied in this classic mutualism, while nitrogen (N) has received comparatively less attention. Quantifying the mechanisms and dynamics of N assimilation is critical to understanding the functional ecology of coral organisms. Given the importance of symbiosis to the coral holobiont, it is important to determine what role photosynthetic symbionts play in N acquisition. We used the facultatively symbiotic temperate coral <em>Astrangia poculata</em> and <sup>15</sup>N labeling to test the effects of symbiotic state and trophic status on N acquisition. We tracked assimilation of 2 forms of isotopically labeled dissolved inorganic N (DIN: ammonium, <sup>15</sup>NH<sub>4</sub><sup>+</sup> and nitrate, <sup>15</sup>NO<sub>3</sub><sup>−</sup>) by fed and starved colonies of both symbiotic and aposymbiotic <em>A. poculata</em>. Coral holobiont tissue was subsequently analyzed for δ<sup>15</sup>N and changes in photosynthetic efficiency. Results suggest that corals acquired the most N from DIN via their symbiont <em>Breviolum psygmophilum</em> and that NH<sub>4</sub><sup>+</sup> is more readily assimilated than NO<sub>3</sub><sup>−</sup>. Photosynthetic efficiency increased with the addition of NH<sub>4</sub><sup>+</sup>, but only for fed, symbiotic treatments. NO<sub>3</sub><sup>−</sup> adversely affected photosynthetic efficiency among starved corals. Our results suggest that symbiosis is advantageous for DIN acquisition, that dysbiosis inhibits corals' mixotrophic strategy of nutrient acquisition, and that either feeding or symbiosis alone does not fully provide the energetic advantage of both. This study lends support to the emerging hypothesis that symbionts are mutualists in optimal conditions but shift to a parasitic paradigm when resources or energy are scarce.</p>
Labelled Arabidopsis dataset for testing membrane segmentation models
<p>Labels of 3D dataset of confocal imaged arabidopsis for testing segmentation models.</p>
Arabidopsis dataset for testing membrane segmentation models
<p>3D dataset of confocal imaged arabidopsis for testing segmentation models.</p>
Data from: When scientific experts come to be media stars: an evolutionary model tested by analysing coronavirus media coverage across Italian newspapers
<p>This dataset includes metadata of the newspaper articles used for the paper "When scientific experts come to be media stars: an evolutionary model tested by analysing coronavirus media coverage across Italian newspapers". The dataset is in JSON format. The metadata includes: "uuid" (unique identifier we associated to an article), "URLs" (the URLs where the article was published), "sources" (newspaper and feed/section where the article was published), "datesPublished" (dates when the article was published/updated).</p> <p>License: Attribution-ShareAlike 4.0 International (<a href="https://creativecommons.org/licenses/by-sa/4.0/legalcode">https://creativecommons.org/licenses/by-sa/4.0/legalcode</a>)</p> <p> </p>
Are neural network potentials trained on liquid states transferable to crystal nucleation? A test on ice nucleation in the mW water model
<p>Dataset used to train the neural network potential for reproducing mW nucleation.</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.