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ShareScore release 0.9.0
Dataset results
11 results for “MongoDB”
MongoDB database dump for the analysis of the current sustainability state of research software
<p>This data set is the MongoDB dump (bson files) of the data created and analyzed with the rsps framework. In the first step, a research subject is assigned to the research software repositories. Afterwards, the current sustainability state is evaluated. The data set comprises the following six bson files:</p> <p><strong>repositories: </strong>metadata, received from the GitHub REST API, for repositories containing the search terms "doi+10" or "doi+10+in:readme", additional information are the request date, the contained search term, and the repository hosting service, in this case for all repositories "github". For repositories the Readme files are available.</p> <p><strong>publications:</strong> metadata of publications, published on arXiv and ACM, that contain the search term "github.com".</p> <p><strong>rs_repositories:</strong> research software candidates containing a DOI or that are referenced by the publications contained in the publications data set.</p> <p><strong>rs_artifacts: </strong>research software artifacts that are referenced in the harvested GitHub repositories by a DOI and the harvested publications.</p> <p><strong>publication_subjects:</strong> All Science Journal Classification (ASJC) of Scopus combined with the Scopus source list and Scopus book title list (https://www.scopus.com/home.uri)</p> <p><strong>arxiv_subjects:</strong> arXiv taxonomy complemented with the ASJC research subject.</p> <p> </p>
Dataset: MongoDB, Inc. (MDB) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
SmartSHARK MongoDB Release 1.2
<p>Release 1.2 updates release 1.0 with manually validated lines for bug fixing commits. This release replaces 1.1, that contained a bug. </p> <p> </p> <p>Details can be found on our homepage: <a href="https://smartshark.github.io/dbreleases/">https://smartshark.github.io/dbreleases/</a></p> <p> </p> <p>Please do not cite this Zenodo archive or just the DOI directly, but follow our citation guide instead: <a href="https://smartshark.github.io/citation/">https://smartshark.github.io/citation/</a></p>
SmartSHARK MongoDB Release 2.0 (small)
<p>Release 2.0 adds data for more projects, and extends the data for all projects with CI and pull request data. </p> <p>This release is only a subset of all data and does not contain the results for static analysis of commits, i.e., no code entity states, code group states, or clone instances. The full data can be found here:</p> <p><a href="https://doi.org/10.6084/m9.figshare.13651346.v1">https://doi.org/10.6084/m9.figshare.13651346.v1</a></p> <p>Details can be found on our homepage: <a href="https://smartshark.github.io/dbreleases/">https://smartshark.github.io/dbreleases/</a></p> <p> </p> <p>Please do not cite this Zenodo archive or just the DOI directly, but follow our citation guide instead: <a href="https://smartshark.github.io/citation/">https://smartshark.github.io/citation/</a></p>
MongoDB Performance Test Result Dataset
<p>This artifact contains performance test results from MongoDB’s internal performance testing system.</p>
Performance Results of a Containerized MongoDB DBMS
<p>These data sets contain the performance measurements of different containerized MongoDB deployments. They are supplemental to the research paper <a href="https://link.springer.com/chapter/10.1007/978-3-030-10549-5_8">The Impact of the Storage Tier: A Baseline Performance Analysis of Containerized DBMS</a> that has been presented at the Euro-Par Workshops 2018. </p> <p>The attached readme further describes the data set structure.</p>
MongoDB JSON Logs
<p>A sample of JSON log events from a MongoDB instance. The logs were generated by repeatedly running YCSB workloads A-E.</p>
Mongodb Database dump for TOSEM submission "Characterizing Deep Learning Package Supply Chains in PyPI: Domains, Clusters, and Disengagement"
<p>The Mongodb Database dump for TOSEM submission "Characterizing Deep Learning Package Supply Chains in PyPI: Domains, Clusters, and Disengagement"</p>
SmartSHARK MongoDB Release 1.0
<p>This is the first major release of the SmartSHARK MongoDB and data for 38 Java Apache projects. For each project, the data contains the issue tracking data, mailing list data, and version control data, including software metrics, PMD warnings, change type analysis, automated refactoring detection, links between commits and issues, commit labels, and inducing changes. The type of the linked bug issues and the issue links of these data sets were manually validated.</p> <p> </p> <p>Details can be found on our homepage: <a href="https://smartshark.github.io/dbreleases/">https://smartshark.github.io/dbreleases/</a></p> <p> </p> <p>Please do not cite this Zenodo archive or just the DOI directly, but follow our citation guide instead: <a href="https://smartshark.github.io/citation/">https://smartshark.github.io/citation/</a></p>
SmartSHARK MongoDB Release 1.1
<p>This archive should not be used anymore. Please use this update instead: <a href="https://doi.org/10.5281/zenodo.4462719">https://doi.org/10.5281/zenodo.4462719</a></p>
MongoDB Performance Test Result Dataset
<p>Performance test results and change points</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
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Annotated Behaviour and Observability Dataset (ABODe)
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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.