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1,855 results for “Framework”
Data from: Male phenotypes in a female framework: evidence for degeneration in sperm produced by male snails from asexual lineages
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Data from: Ecosystem engineers shape ecological network structure and stability: a framework and literature review
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A framework for mapping the distribution of seabirds by integrating tracking, demography and phenology
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A multi-state occupancy modeling framework for robust estimation of disease prevalence in multi-tissue disease systems
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Data from: Using a newly introduced framework to measure ecological stressor interactions
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Definitive dataset framework of the Data Analysis on Berga, HISMAGIS protocol.
<p>The definitive dataset framework realized on the ArcGIS software, containing the Data Analysis on Berga, used to build the composite indicators of the HISMAGIS Protocol. </p> <p>Alle the feature class, geodatabase and collector carpets have been translated in English. </p>
A Deep Learning Based Cardiac Cine Segmentation Framework for Clinicians - Transfer Learning Application to 7T - Additional Data
<p><strong>Automatically Generated Segmentation Masks for Data Science Bowl Cardiac Challenge Data</strong></p> <p>These segmentation masks have been automatically generated with the <a href="https://github.com/baiwenjia/ukbb_cardiac">ukbb_cardiac</a> network by Bai et al. (2018, <a href="https://doi.org/10.1186/s12968-018-0471-x">doi:10.1186/s12968-018-0471-x</a>). In order to reproduce the data cleaning and conversion: download the data from <a href="https://www.kaggle.com/c/second-annual-data-science-bowl/data">Kaggle</a> and follow the data curation and conversion steps outlined in: <a href="https://github.com/chfc-cmi/cmr-seg-tl">cmr-seg-tl</a> and the associated publication (Link to be added).</p> <p>As this is a derived dataset please abide by the data use rules of the original dataset at kaggle and provide proper citation to the original data:</p> <blockquote> <p>The data for the Data Science Bowl is available for research and academic pursuits. Please cite as ‘Data Science Bowl Cardiac Challenge Data’.</p> </blockquote> <p>Please also cite the Bai et al. article for the algorithm and our publication for the data curation.</p>
A generic CERIF framework
<p>The main classes in a framework generalizing CERIF</p>
Dataset: A methodological framework to analyse determinants of host-microbiota networks, with an application to the relationships between Daphnia magna's gut microbiota and bacterioplankton
<p>Dataset and R codes for the publication "A methodological framework to analyse determinants of host-microbiota networks, with an application to the relationships between <em>Daphnia magna</em>’s gut microbiota and bacterioplankton"</p>
Dataset for: "The ARCiS framework for Exoplanet Atmospheres: Modelling Philosophy and Retrieval"
<p>This is the data package accompanying the publication: The ARCiS framework for Exoplanet Atmospheres: Modelling Philosophy and Retrieval</p> <p>Accepted for publication in A&A</p>
Covalent Triazine Frameworks Incorporating Charged Polypyrrole Channels for High-Performance Lithium–Sulfur Batteries
<p>Organosulfur polymers have emerged as promising electrode materials for lithium–sulfur (Li–S) batteries, mainly because of their ability to incorporate and stabilize high sulfur content. The low ionic and electronic conductivity of these polymers, however, limit their cycling performance at high active mass loadings. Moreover, Li–polysulfide (Li–PS) shuttling, a fatal phenomenon in the cyclability of Li–S batteries, can be mitigated <em>via</em> the entrapment of Li–PS by utilizing various supramolecular interactions. Herein, we report a new approach that incorporates one-dimensional charged polypyrrole into a two-dimensional covalent triazine framework (cPpy-S-CTF) synthesized in the presence of elemental sulfur. The cPpy-S-CTF enabled sulfur loadings up to 83 wt %, thanks to the perfluoroaryl-elemental sulfur SN<sub>Ar</sub> chemistry. Notably, the addition of charged polypyrrole, cPpy, triggered a 3D nanochannel formation in the cPpy-S-CTF with high-affinity anchoring sites toward Li–PS, while achieving decent ionic and electronic conductivity. The cPpy-S-CTF showed a remarkable electrochemical performance with a specific capacity of 1203.4 mA h g<sup>–1</sup> at 0.05 C, an initial Coulombic efficiency of 94.1%, and a capacity retention of 86.8% after 500 cycles. These results point to the fact that the incorporation of charged conducting polymers could be a universal strategy to boost the electrochemical performance of organosulfur polymers in Li–S batteries.</p>
Benchmark Data Set of "epiTracker - A framework for highly-reliable particle tracking for the quantitative analysis of fish movements in tanks"
<p>Data set containing five videos differing in fish species (zebrafish and medaka), number of individuals (3 to 10), lighting and type of tank for comparison of tracking algorithms. For each video a Matlab file (*.mat) exists, which contains the position data of the fish.</p> <p>Each of the five videos consists of ~10000 frames, which at a frame rate of 30FPS corresponds to a length of about 5.5min.</p>
Toward a Metamodel Quality Evaluation Framework: Requirements, Model, Measures, and Process
<p>The quality of metamodel considerably affects the models and transformations that conform to it. Despite that, there is still little discussion about a comprehensive form to evaluate the quality of metamodels and its consequences in model-driven development processes. This paper proposes a metamodel quality evaluation framework called MQuaRE (Metamodel Quality Requirements and Evaluation). MQuaRE comprises metamodel quality requirements and measures, a quality model, and an evaluation process, with the evident influence of international standards for software product quality, such as ISO/IEC 25000 series. We present a simple use case of MQuaRE describing how requirements, measures, and the quality model should be used during the evaluation process of a metamodel for software patterns. Among other benefits, MQuaRE can help determine final metamodel quality, decide on the acceptance of a metamodel, and also assess the positive and negative aspects of a metamodel, contributing to its quality evolution.</p>
PSAS: A Framework for Peer Assessment of an Individuals Skills in a Software Projects Team
<p>Competency assessment in a software project team allows you to identify how each individual can collaborate to achieve the success of a project. The peer assessment approach can bring better results by having the vision of more than one team member. This article proposes a framework to automate the peer assessment of people’s competences in software project teams, developed and evaluated using the interaction design approach. The framework allows to create and apply peer reviews with co-assessment, 360-degree and self-assessment strategies and graphically analyze the performance of people, teams, compare the results of the assessment, identify highlights and follow trends through history.</p>
Supplementary material 1 from: Wilson JRU, Datta A, Hirsch H, Keet J-H, Mbobo T, Nkuna KV, Nsikani MM, Pyšek P, Richardson DM, Zengeya TA, Kumschick S (2020) Is invasion science moving towards agreed standards? The influence of selected frameworks. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM. NeoBiota 62: 569-590. https://doi.org/10.3897/neobiota.62.53243
Data used in a citation analysis of frameworks in invasion science
Supplementary material 2 from: Bertolino S, Ancillotto L, Bartolommei P, Benassi G, Capizzi D, Gasperini S, Lucchesi M, Mori E, Scillitani L, Sozio G, Falaschi M, Ficetola GF, Cerri J, Genovesi P, Carnevali L, Loy A, Monaco A (2020) A framework for prioritising present and potentially invasive mammal species for a national list. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM. NeoBiota 62: 31-54. https://doi.org/10.3897/neobiota.62.52934
This is the R-script and the output of the analyses
Supplementary material 1 from: Bertolino S, Ancillotto L, Bartolommei P, Benassi G, Capizzi D, Gasperini S, Lucchesi M, Mori E, Scillitani L, Sozio G, Falaschi M, Ficetola GF, Cerri J, Genovesi P, Carnevali L, Loy A, Monaco A (2020) A framework for prioritising present and potentially invasive mammal species for a national list. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM. NeoBiota 62: 31-54. https://doi.org/10.3897/neobiota.62.52934
This is the database produced during the research
Supplementary material 5 from: Kumschick S, Wilson JRU, Foxcroft LC (2020) A framework to support alien species regulation: the Risk Analysis for Alien Taxa (RAAT). In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM. NeoBiota 62: 213-239. https://doi.org/10.3897/neobiota.62.51031
Guidance regarding the use of the confidence rating (Appendix S5)
Supplementary material 3 from: Bertolino S, Ancillotto L, Bartolommei P, Benassi G, Capizzi D, Gasperini S, Lucchesi M, Mori E, Scillitani L, Sozio G, Falaschi M, Ficetola GF, Cerri J, Genovesi P, Carnevali L, Loy A, Monaco A (2020) A framework for prioritising present and potentially invasive mammal species for a national list. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM. NeoBiota 62: 31-54. https://doi.org/10.3897/neobiota.62.52934
Complete ranking of the species
Supplementary material 3 from: Kumschick S, Wilson JRU, Foxcroft LC (2020) A framework to support alien species regulation: the Risk Analysis for Alien Taxa (RAAT). In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM. NeoBiota 62: 213-239. https://doi.org/10.3897/neobiota.62.51031
Example of RAAT (Appendix S3)
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.