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1,855 results for “Framework”
Data from: A framework for modeling the impacts of searcher behavior on the efficiency of abundance surveys
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Data from: A proposed coupling framework of biological invasions: Quantifying the management prioritization in mealybugs invasion
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An information theory framework for movement path segmentation and analysis
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Data from: BubbleID: A deep learning framework for bubble interface dynamics analysis
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Data from: A theoretical framework to quantify ecosystem pressure-volume relationships
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There and back to the present: a model-based framework to estimate phylogenetically constrained alpha diversity gradients
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Contrasting species richness in patches of alternative foundation species suggests a framework for understanding Species of Unusual Effect
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The R package enerscape: A general energy landscape framework for terrestrial movement ecology
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A computational neuroscience framework for quantifying warning signals
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A decision-making framework to maximize the evolutionary potential of populations: Genetic and genomic insights from the common midwife toad (Alytes obstetricans) at its range limits
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A new Double Observer based census framework to improve abundance estimations in mountain ungulates and other gregarious species with a reduced effort
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Data from: A framework for minimizing remote effects of regional climate interventions: Cooling the Great Barrier Reef without teleconnections
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Video footage of vessel annotation framework
<p>This video illustrates our vessel annotation framework.</p> <p>This is part of a paper submission. Once the paper is accepted, this information will be updated. </p>
Are Game Engines Software Frameworks? A Three-perspective Study
<p>Dataset for the paper: "Are Game Engines Software Frameworks? A Three-perspective Study"</p>
Definitive dataset framework of the Data Analysis on Sutri, HISMAGIS protocol.
<p>Definitive dataset framework of the Data Analysis on Sutri, HISMAGIS protocol.</p> <p>All the feature class, geodatabase and collector carpets have been translated in English.</p>
Experimental evidence for the incorporation of two metals at equivalent lattice positions in mixed metal organic frameworks. Dataset related to publication. Version: 1
<p>Experimental evidence for the incorporation of two metals at equivalent lattice positions in mixed metal organic frameworks. Dataset related to publication. Version: 1</p>
A machine learning framework for computationally expensive transient models
<p>The following dataset contains DEM simulation data on multiple material properties and operational parameters and their impact on uniform mixing time. Unifrom mixing time is calculated when segregation index reaches 1.1. Segregation index is defined based on the paper: Marigo, M., Cairns, D. L., Davies, M., Ingram, A. & Stitt, E. H. A numerical comparison of mixing efficiencies of solids in a cylindrical vessel subject to a range of motions. <em>Powder Technol.</em> <strong>217</strong>, 540–547 (2012). </p> <p>The dataset was used for training ML model as described in paper: <a href="https://arxiv.org/abs/1907.05928">https://arxiv.org/abs/1907.05928</a></p>
Understanding the Nature of System-Related Issues in Machine Learning Frameworks: An Exploratory Study
<p>Modern systems are built using development frameworks. The infrastructure provided by these frameworks have a major impact on how the developed system executes, how configurations are managed, how it is tested, and how and where it is deployed. Machine learning (ML) systems have revolutionized multiple industries and come with different kinds of frameworks. Naturally, the issues that manifest in such systems may differ as well---as may the behavior of developers correcting those issues. We are interested in characterizing the types of system-related issues---issues impacting performance, memory and resource usage, and other quality attributes---that emerge in machine learning frameworks, and how they differ from those in traditional frameworks. To this end, we have conducted a large-scale exploratory study analyzing real-world system-related issues from 10 popular machine learning frameworks.<br> <br> Our findings offer a number of interesting observations, with implications for the development of machine learning systems, including differences in the frequency of occurrence of certain issue types, observations regarding the impact of debate and time on issue correction, and differences in the specialization of developers. We hope that this exploratory study will enable developers to improve their expectations, plan for risk, and allocate resources accordingly when making use of the tools provided by these frameworks to develop ML-based systems.</p>
BigFuzz: Efficient Fuzz Testing for Data Analytics using Framework Abstraction
<p>BigFuzz supplementary material.</p>
Efficient ensemble data assimilation for coupled models with the Parallel Data Assimilation Framework: Example of AWI-CM - output files and plot scripts
<p>This archive outputs_plotting.zip contains the raw output files (STDOUT) from the scaling runs performed for the paper "Efficient ensemble data assimilation for coupled models with the Parallel Data Assimilation Framework: Example of AWI-CM" submitted to GMD (gmd-2019-167). Further the scripts to extract timing information from the raw output files and plot scripts are included.</p> <p>The archive SST-DA_plotting.zip contains the scripts to compute RMS errors for the free ensemble run (output file in gmd_N46_free.zip) and the SST assimilation run (gmd_N46_sst.zip) and to plot these. The two output files contain each a Netcdf file with the ensemble mean state information and the stdout file from the model run.</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.