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Dataset results
59 results for “Surrogate Model”
Data used for analysis in "Calibrating tropical forest coexistence in ecosystem demography models using multi-objective optimization through population-based parallel surrogate search"
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Symmetric Positive Definite Convolutional Network for Surrogate Modeling and Optimization of Modular Structures
<p>This is the training data for the paper "Symmetric Positive Definite Convolutional Network for Surrogate Modeling and Optimization of Modular Structures"</p>
Supplemental materials for "Boosting Barlow Twins reduced order modeling for machine learning-based surrogate models in multiphase flow problems"
<p>Supplemental materials for "Boosting Barlow Twins reduced order modeling for machine learning-based surrogate models in multiphase flow problems" in Water Resources Research. Detailed information is available in readme.md.</p>
Multi-fidelity reduced-order surrogate modeling
<p>Training and testing datasets used for the experiments in <a href="https://arxiv.org/abs/2309.00325">Multi-fidelity reduced-order surrogate modeling</a></p>
Deep Neural Network Surrogate for Surface Complexation Model of Metal Oxide/Electrolyte Interface
<p>These files are the data used in the paper "<a href="https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ncAYQ4MAAAAJ&sortby=pubdate&citation_for_view=ncAYQ4MAAAAJ:LkGwnXOMwfcC">Deep neural network surrogate for surface complexation model of metal oxide/electrolyte interface</a>".</p> <ul> <li>CSV files are used to train the DNN model.</li> <li>NPZ files are used to train the random forest model. </li> </ul>
Surrogate modelling for the forecast of Seveso-type atmospheric pollutant dispersion - Online Resource 1
<p>Online Resource 1: Test-data response of GIM model.</p>
Supplementary material 3 from: Molloy SW, Davis RA, Dunlop JA, van Etten EJB (2017) Applying surrogate species presences to correct sample bias in species distribution models: a case study using the Pilbara population of the Northern Quoll. Nature Conservation 18: 27-46. https://doi.org/10.3897/natureconservation.18.12235
Weighted mean SDMs for individual algorithms and evaluation statistics (biomod2) :
Supplementary material 2 from: Molloy SW, Davis RA, Dunlop JA, van Etten EJB (2017) Applying surrogate species presences to correct sample bias in species distribution models: a case study using the Pilbara population of the Northern Quoll. Nature Conservation 18: 27-46. https://doi.org/10.3897/natureconservation.18.12235
Full readout for the MaxEnt northern quoll SDM :
Supplementary material 1 from: Molloy SW, Davis RA, Dunlop JA, van Etten EJB (2017) Applying surrogate species presences to correct sample bias in species distribution models: a case study using the Pilbara population of the Northern Quoll. Nature Conservation 18: 27-46. https://doi.org/10.3897/natureconservation.18.12235
GIS data sets used in variable assessments and map of Pilbara vegetation systems :
Accuracy can Lie: On the Impact of Surrogate Model in Configuration Tuning (Supplementary Material)
<p>The detailed data for model-impact survey</p>
Dataset for paper: Multi-Fidelity Surrogate Modelling of Wall Mounted Cubes
<p>Dataset including samples of LES and RANS data of the flow around tandem wall mounted cubes.</p> <p>Samples are taken as lines along the centre of the domain and a number of slices.</p> <p>This data is used in the paper "Multi-Fidelity Surrogate Modelling of Wall Mounted Cubes".</p> <p>The data is used by code found in the repository https://github.com/admole/Multi-Fidelity-Surrogate/tree/FTaC</p>
Data from: Surrogate modelling for the prediction of spatial fields based on simultaneous dimensionality reduction of high-dimensional input/output spaces
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Interpretable Deep Convolutional Neural Network-based Surrogates for Complex Urban Hydrodynamic Modeling using Random Chaotic Rainfall
<p>This data is part of the article "Interpretable Deep Convolutional Neural Network-based Surrogates for Complex Urban Hydrodynamic Modeling using. Random Chaotic Rainfall "data for model training and validation, as well as a dynamic runoff range generated by DHMUrban</p>
Characterization of Bovine Adrenal Medulla as a New Surrogate Model of Non-histaminergic Itch
ClinicalTrials.gov study NCT05249387. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Characterization of the Toll-like Receptor 7-agonist Imiquimod 3.75% As a New Surrogate Model of Itch
ClinicalTrials.gov study NCT03943407. IPD Sharing: NO. Countries: 1. Publications: 0.
Characterization of Bovine Adrenal Medulla (BAM8-22) as a New Surrogate Model of Non-histaminergic Itch
ClinicalTrials.gov study NCT04197440. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Characterization of BAM8-22 as a New Surrogate Model of Non-histaminergic Itch
ClinicalTrials.gov study NCT04588532. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Bioinformatics Analyses Determined the Distinct CNS and Peripheral Surrogate Biomarker Candidates between Two Mouse Models for Progressive Multiple Sclerosis
GEO Series GSE99300. Mus musculus. 24 samples. Type: Expression profiling by array.
MicroRNAs regulate differential innate immune response to uropathogenic and commensal-like Escherichia coli infection in the surrogate insect model Galleria mellonella
GEO Series GSE123965. Galleria mellonella. 3 samples. Type: Non-coding RNA profiling by high throughput sequencing.
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.