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621 results for “methodologies”

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zenodo28/100

THE PRACTICAL IMPORTANCE OF THE METHODOLOGY OF FORMATION OF PROFESSIONAL TRAINING IN THE SPIRITUAL AND MORAL EDUCATION OF FUTURE PRIMARY SCHOOL TEACHERS

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opencc-by-4.0Oct 2024View details →
zenodo28/100

Sampling in Cloud Benchmarking: A Critical Review and Methodological Guidelines

<p>This replication package contains the data and code to replicate our critical review on sampling in cloud benchmarking.</p> <p>&nbsp;</p> <p><strong>Paper</strong></p> <p>Akbari, Saman, and Manfred Hauswirth. "Sampling in Cloud Benchmarking: A Critical Review and Methodological Guidelines." <em>2024 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)</em>. IEEE, 2024. DOI: <a href="https://doi.org/10.1109/CloudCom62794.2024.00034" target="_blank" rel="noopener">10.1109/CloudCom62794.2024.00034</a>.</p> <pre>@inproceedings{akbari2024sampling, title={Sampling in Cloud Benchmarking: A Critical Review and Methodological Guidelines}, author={Akbari, Saman and Hauswirth, Manfred}, booktitle={2024 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)}, pages={160--167}, year={2024}, organization={IEEE} }</pre> <p>&nbsp;</p> <p><strong>Abstract</strong></p> <blockquote> <p>Cloud benchmarks suffer from performance fluctuations caused by resource contention, network latency, hardware heterogeneity, and other factors along with decisions taken in the benchmark design. In particular, the sampling strategy of benchmark designers can significantly influence benchmark results. Despite this well-known fact, no systematic approach has been devised so far to make sampling results comparable and guide benchmark designers in choosing their sampling strategy for use within benchmarks. To identify systematic problems, we critically review sampling in recent cloud computing research. Our analysis identifies concerning trends: (i) a high prevalence of non-probability sampling, (ii) over-reliance on a single benchmark, and (iii) restricted access to samples. To address these issues and increase transparency in sampling, we propose methodological guidelines for researchers and reviewers. We hope that our work contributes to improving the generalizability, reproducibility, and reliability of research results.</p> </blockquote>

opencc-by-4.0Oct 2024View details →
zenodo28/100

STAGES AND TECHNOLOGIES OF CREATING SOFTWARE AND METHODOLOGICAL SUPPORT FOR THE DEVELOPMENT OF CREATIVE ACTIVITIES OF FUTURE ELEMENTARY SCHOOL TEACHERS

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opencc-by-4.0Oct 2024View details →
zenodo28/100

Evidence-based dentistry and research methodology knowledge among orthodontic postgraduate residents in four universities

<p>Dataset for all analyses</p>

opencc-by-4.0Jan 2021View details →
zenodo28/100

Dataset supporting publication: "A novel ROM methodology to support the estimation of the energy savings under the Measurement and Verification protocol"

<p>Dataset supporting publication: &ldquo;A novel ROM methodology to support the estimation of the energy savings under the Measurement and Verification protocol&rdquo;&nbsp;(publication available for download:&nbsp;<a href="https://zenodo.org/record/4062276#.X33rSO3tbIU">GEOFIT Zenodo</a>)</p> <p>Datasets resultant from simulation of the integrated system into buildings.</p> <p>Conference paper presented in&nbsp;<a href="https://www.bso2020.org/">IBPSA-England Building Simulation and Optimisation Conference 2020</a></p> <p>This paper presents a novel Reduced Order grey box Model (ROM) methodology, based on a Resistor-Capacitor (RC) network, which supports the creation of the baseline energy consumption and the estimation of energy savings due to Energy Conservation Measures (ECMs) under the Measurement and Verification protocol. Within this scope, a description of the RC network, including a calculation of the parameters&rsquo; needed to execute the ROM, are presented. This ROM methodology is demonstrated on an educational building located in Sant Cugat, Spain as part of the H2020 GEOFIT project. The results presented in this paper demonstrate that the ROM is sufficiently accurate for the creation of the baseline energy consumption and for estimating the energy savings of different ECMs.</p>

opencc-by-4.0Dec 2022View details →
zenodo28/100

Methodological Issues in First-Principle Calculations of CH3NH3PbI3 Perovskite Surfaces: Quantum Confinement and Thermal Motion. [Dataset]

<p>Dataset of the simulated ab initio molecular dynamics (AIMD) trajectories of the (2 &times; 2) &times; 6 slabs for MAPbI<sub>3</sub> (001)-PbI<sub>2</sub> and MAPbI<sub>3</sub> (001)-MAI slabs of the MAPbI<sub>3</sub> tetragonal phase. The calculations were performed with the CP2K code (V7.1), evaluating the forces with the PBE functional with the Grimme correction scheme (DFT- D3, Zero&ndash;damped correction). The trajectory&nbsp;productions include up to 40 ps using the microcanonical ensemble with 0.5 fs of time-step, considering 5 ps of thermalization time. More&nbsp;details in the article support information.</p> <p>For each surface, the dataset includes (i) AIMD trajectories (positions and energies), (ii) Electronic structure (PBE+SOC, calculated with VASP code) along the dynamics&nbsp;considering 270 representative configurations,&nbsp; (iii) Geometry and electronic structure of the 0K slab models.</p>

opencc-by-4.0Nov 2020View details →
zenodo28/100

Fig. 22 in A comprehensive review: Biological activity, modification and synthetic methodologies of prenylated flavonoids

Fig. 22. Basic SARs studies of prenylated flavonoids with enzyme inhibitory activity.

opennotspecifiedNov 2021View details →
zenodo28/100

Fig. 20 in A comprehensive review: Biological activity, modification and synthetic methodologies of prenylated flavonoids

Fig. 20. (continued).

opennotspecifiedNov 2021View details →
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Fig. 20 in A comprehensive review: Biological activity, modification and synthetic methodologies of prenylated flavonoids

Fig. 20. Chemical structures of prenylated flavonoids with enzyme inhibitory activity (495–550).

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zenodo28/100

Fig. 13 in A comprehensive review: Biological activity, modification and synthetic methodologies of prenylated flavonoids

Fig. 13. Chemical structures of prenylated flavonoids with antimicrobial activity (388–430).

opennotspecifiedNov 2021View details →
zenodo28/100

Fig. 17 in A comprehensive review: Biological activity, modification and synthetic methodologies of prenylated flavonoids

Fig. 17. (continued).

opennotspecifiedNov 2021View details →
zenodo28/100

Fig. 12 in A comprehensive review: Biological activity, modification and synthetic methodologies of prenylated flavonoids

Fig. 12. Chemical structures of prenylated flavonoids with anti-Alzheimer activity (370–387).

opennotspecifiedNov 2021View details →
zenodo28/100

Fig. 11 in A comprehensive review: Biological activity, modification and synthetic methodologies of prenylated flavonoids

Fig. 11. Basic SARs studies of prenylated flavonoids with anti-inflammatory activity.

opennotspecifiedNov 2021View details →
zenodo28/100

Fig. 9 in A comprehensive review: Biological activity, modification and synthetic methodologies of prenylated flavonoids

Fig. 9. (continued).

opennotspecifiedNov 2021View details →
zenodo28/100

Fig. 9 in A comprehensive review: Biological activity, modification and synthetic methodologies of prenylated flavonoids

Fig. 9. (continued).

opennotspecifiedNov 2021View details →
zenodo28/100

Fig. 16 in A comprehensive review: Biological activity, modification and synthetic methodologies of prenylated flavonoids

Fig. 16. Chemical structures of prenylated flavonoids with antioxidant activity (431–444).

opennotspecifiedNov 2021View details →
zenodo28/100

Fig. 9 in A comprehensive review: Biological activity, modification and synthetic methodologies of prenylated flavonoids

Fig. 9. Chemical structures of prenylated flavonoids with anti-inflammation (273–368).

opennotspecifiedNov 2021View details →
zenodo28/100

Fig. 9 in A comprehensive review: Biological activity, modification and synthetic methodologies of prenylated flavonoids

Fig. 9. (continued).

opennotspecifiedNov 2021View details →
zenodo28/100

Fig. 9 in A comprehensive review: Biological activity, modification and synthetic methodologies of prenylated flavonoids

Fig. 9. (continued).

opennotspecifiedNov 2021View details →
zenodo28/100

Fig. 20 in A comprehensive review: Biological activity, modification and synthetic methodologies of prenylated flavonoids

Fig. 20. (continued).

opennotspecifiedNov 2021View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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Your academic CV and NIH biosketch

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