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406 results for “API”

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zenodo36/100

[Supplementary material] Test Oracle Generation for REST APIs

<p>This is the supplementary material of the paper entitled&nbsp;<em>Test Oracle Generation for REST APIs</em></p> <p>To use the most up-to-date version of AGORA+, please refer to the official GitHub repository: https://github.com/isa-group/Beet</p> <p>The Ubuntu Virtual Machine containing all the projects configured can be found here: https://figshare.com/articles/dataset/AGORA_Virtual_Machine/28266926</p> <p>&nbsp;</p> <h1>How to Open the Replication Package (Multi-part ZIP Archive)</h1> <p><span lang="EN-US">The replication package is distributed as a multi-part ZIP archive. This is a standard way to split a large ZIP file into smaller chunks for easier uploading and downloading. The archive consists of the following files:</span></p> <ul> <li><span lang="EN-US">ReplicationPackage.z01&nbsp;</span></li> <li><span lang="EN-US">ReplicationPackage.z02</span></li> <li><span lang="EN-US">ReplicationPackage.z03&nbsp;</span></li> <li><span lang="EN-US">ReplicationPackage.z04&nbsp;</span></li> <li><span lang="EN-US">ReplicationPackage.z05</span></li> <li><span lang="EN-US">ReplicationPackage.zip&nbsp;</span></li> </ul> <p><span lang="EN-US">These files <strong>must be in the same folder</strong> before unzipping.</span></p> <p><span lang="EN-US">Below are step-by-step instructions for <strong>Windows</strong> and <strong>Linux</strong> users.</span></p> <h1><span lang="EN-US">For Windows Users</span></h1> <h2><span lang="EN-US">Option 1: Using 7-Zip (Recommended)</span></h2> <ol> <li><span lang="EN-US">Download and install 7-Zip: <a href="https://www.7-zip.org/">https://www.7-zip.org/</a></span></li> <li><span lang="EN-US">Place all the files (.z01, .z02, ..., .z05, and .zip) in the <strong>same folder</strong>.</span></li> <li><span lang="EN-US">Right-click on ReplicationPackage.zip.</span></li> <li><span lang="EN-US">Choose <strong>7-Zip -&gt;</strong></span><strong><span lang="EN-US"> Extract Here</span></strong><span lang="EN-US"> or <strong>Extract to ReplicationPackage\</strong>.</span></li> </ol> <p><span lang="EN-US">7-Zip will automatically combine the parts and extract the full content.</span></p> <h2>Option 2: Using WinRAR</h2> <ol> <li><span lang="EN-US">Download and install <strong>WinRAR</strong>: <a href="https://www.rarlab.com/">https://www.rarlab.com/</a></span></li> <li><span lang="EN-US">Ensure all parts are in the same directory.</span></li> <li><span lang="EN-US">Right-click on ReplicationPackage.zip.</span></li> <li><span lang="EN-US">Select <strong>Extract Here</strong> or <strong>Extract to ReplicationPackage\</strong>.</span></li> </ol> <h1><span lang="EN-US">For Linux Users</span></h1> <ol> <li><span lang="EN-US">Make sure all the parts are in the same directory.</span></li> <li><span lang="EN-US">Install p7zip if not already installed:</span></li> </ol> <p><span lang="EN-US">&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;sudo apt install p7zip-full</span></p> <p><span lang="EN-US">&nbsp; &nbsp; &nbsp; &nbsp;3. Navigate to the folder containing the files:</span></p> <p><span lang="EN-US">&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;cd /path/to/your/downloaded/files</span></p> <p>&nbsp; &nbsp; &nbsp; &nbsp;4. Run the following command:</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;7z x ReplicationPackage.zip</p> <p><span lang="EN-US">This will extract the full archive by automatically reading the .z01, .z02, etc.</span></p> <h1><span lang="EN-US">NOTES</span></h1> <ul> <li><strong><span lang="EN-US">Do not</span></strong><span lang="EN-US"> try to unzip the .z01, .z02, etc., individually. Only unzip the main .zip file (the one with the .zip extension).</span></li> <li><span lang="EN-US">If you see an error like <em>"not a valid zip file"</em>, it usually means:</span></li> <ul> <li><span lang="EN-US">Not all parts were downloaded correctly.</span></li> <li><span lang="EN-US">The files are not in the same folder.</span></li> <li><span lang="EN-US">The file names were modified (e.g., by the browser).</span></li> </ul> </ul>

opencc-by-4.0Jun 2024View details →
zenodo36/100

APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java

<p>APIBench is the benchmark dataset APIBench released in the paper &quot;<a href="https://yunpeng.site/files/apirec.pdf"><em>Revisiting, Benchmarking and Exploring APIRecommendation: How Far Are We?</em></a>&quot;.&nbsp;</p> <p>APIBench contains two sub-dataset for evaluating the performance of query-based and code-based API recommendation approaches, namely APIBench-Q and APIBench-C. Each sub-dataset has a Java version and a Python version.</p> <p>APIBench-Q contains 4,309 Python queries and 6,563 Java queries collected from Stack Overflow posts generated from Aug 2008 to Feb 2021&nbsp;and tutorial websites Geeks4Geeks, Java2s, and&nbsp;Kode Java in April 2021.</p> <p>APIBench-C contains 2,361 Python&nbsp;projects and 1,477 Java projects mined from GitHub in April 2021.</p> <p>Please read the <strong>README.md</strong> file for detailed information about the benchmark.</p> <p>The evaluation results of existing API recommendation approaches can be found in <a href="https://github.com/JohnnyPeng18/APIBench">this GitHub repository</a>.</p>

opencc-by-4.0Dec 2021View details →
zenodo36/100

Platform-Specific APIs

<p>This dataset was utilized in the research paper titled "Availability and Usage of Platform-Specific APIs: A First Empirical Study" for publication in &nbsp;Mining Software Repositories (MSR). Herein, we present a concise abstract of the study.</p> <p>A platform-specific API is an API implemented for a particular platform (e.g., operating system), therefore, it may not work on other platforms than the target one. In this paper, we propose a first empirical study to assess the availability and usage of platform-specific APIs. We analyze the platform-specific APIs provided by the Python Standard Library and mine their usage in 100 popular systems. We find that 21% of the Python Standard Library APIs are platform-specific and that 15% of the modules contain at least one. The platforms with the most availability restrictions are WASI (43.69%), Emscripten (43.64%), Unix (6,76%), and Windows (2.12%). Moreover, we find that platform-specific APIs are largely used in Python. We detect over 19K API usages in all 100 projects, in both production (52.6%) and test code (47.4%). We conclude by discussing practical implications for practitioners and researchers.</p> <p>&nbsp;</p> <p>For more information: <a href="https://dl.acm.org/doi/10.1145/3643991.3644925">https://dl.acm.org/doi/10.1145/3643991.3644925</a></p>

opencc-by-4.0Nov 2023View details →
zenodo36/100

Fore wing images of honey bees (Apis mellifera) from Serbia

<p>The dataset consists of 2282 fore wing images of honey bee (<i>Apis mellifera</i>) workers. The wing images represent 60 colonies. Each of the colonies was collected in a different location in Serbia. The wing images are compressed in RS_21_80-wing-images.zip. Raw coordinates of 19 landmarks marked on the wings are in file RS_21_80-raw-coordinates.csv. Additional data, including geographic coordinates and resolution, is saved in file RS_21_80-data.csv.</p>

openodc-odblDec 2023View details →
zenodo36/100

Fontana delle api roma

La fontana delle Api è una fontana storica di Roma ubicata all'angolo di piazza Barberini con via Veneto, realizzata nel 1644 da Gian Lorenzo Bernini. Source: Objaverse 1.0 / Sketchfab

opencc-byApr 2017View details →
zenodo36/100

Artifacts of a Controlled Experiment About the Impact of Microservice API Patterns on Understandability

<p>This repository includes the data set of responses from 66 participants and the analysis scripts of a controlled experiment about the impact of microservice API patterns on understandability.</p>

opencc-by-4.0Nov 2023View details →
zenodo36/100

APIS CIDOC CRM serialization

<p>This is a trig serialisation of the enriched version of the Austrian Biographical Dictionary. The data was enriched during the Austrian Prosopographical Information System (APIS) project. It contains data on ~19.000 persons who had an impact on Austrian soil and died between 1815 and 1955.</p> <p>This version of the APIS data uses CIDOC CRM and is less complete than the also available JSON version of the data (using a custom data model).</p> <p>Please refer to <a href="https://www.oeaw.ac.at/acdh/team/current-team/matthias-schloegl/">Matthias Schl&ouml;gl</a> for any inquiries.</p>

openother-openNov 2021View details →
zenodo36/100

Estimation of sulfuric acid concentrations using ambient ion composition and concentration data obtained by ion mass spectrometry measurements (APi-TOF)

<p>The dataset has been used to estimate the sulfuric acid concentration from APi-TOF data. Using the bisulfate ion, the sulfuric acid molecule clustered with the bisulfate ion (dimer) and the trimer, we were able to determine the daytime concentration of sulfuric acid with the concentration of ambient ions, including the condensation sink, ion-ion recombination and collision rate of HSO4- with H2SO4.</p>

opencc-by-4.0Sep 2021View details →
zenodo36/100

Assessing the Linguistic Quality of REST APIs for IoT Applications

<p>Detection of Linguistic Antipatterns in IoT APIs:</p> <p>The dataset contains the 19 APIs for IoT applications and a subset of their URIs and documentation.<br> The dataset also contains the detection results of nine&nbsp;Linguistic Antipatterns in 19 IoT APIs.</p>

opencc-by-4.0Jul 2021View details →
zenodo36/100

The attraction of western honey bees (Apis mellifera L.) to commercially available pollen substitutes and wildflower pollen

<p>Many beekeepers supplement their western honey bee (<em>Apis mellifera</em>) colonies with artificial pollen substitutes to provide colonies with adequate nutrition during times of low pollen availability or limited pollen quality. Here, we provided caged adult worker bees with three commercially available pollen substitutes (AP23, MegaBee, UltraBee) and wildflower pollen to determine which diet is most attractive to the bees. We measured diet weight change (as a proxy for consumption) and observed honey bee behavior to test for bee preferences for certain diets. We found that the bees interacted with and consumed more wildflower pollen than they did with any of the commercially available pollen substitutes. Ultimately, our data suggest that bees have a strong preference for wildflower pollen over that of commercially available pollen substitutes.</p>

opencc-by-4.0May 2022View details →
zenodo36/100

Laboratory Package: Efficient consumption between GraphQL API Wrappers and REST API

<p>The laboratory package contains the data set of the national results regarding Internet shopping behavior in Ecuador 2020.&nbsp;</p>

opencc-by-4.0Jun 2022View details →
zenodo36/100

TimeSide API as an audio processing web service

<p>Audio descriptors can help to analyze, classify and compare sounds by their own characteristics. For large datasets,it is often needed to store the results of the analyses in order to keep everything sustainable and comparable, especially in machine learning usecases. This demo will show how to use the TimeSide REST API as a remote service to process descriptors in order to embed the results in any web application. The new version of the TimeSide player will be presented as a general example of using the dedicated javascript SDK to produce new kinds of applications involving visualization and collaborative annotation.</p>

opencc-by-4.0Jun 2022View details →
zenodo36/100

Fig. 2 in PREVALENCE OF NOSEMA CERANAE (MICROSPORIDIA) IN THE APIS MELLIFERA MELLIFERA BEE COLONIES FROM LONG TIME ISOLATED APIARIES OF SIBERIA

Fig. 2. Distribution of Nosema species in apiaries throughout the Krasnoyarsk Krai (dots

opencc-by-4.0Apr 2020View details →
zenodo36/100

Figs 1–24 in The species-group names of bees (Hymenoptera: Apoidea, Apiformes) described from Crimea, North Caucasus, European part of Russia and Ural. Part III. Families Melittidae and Apidae (Except Bombus Latreille and Apis Linnaeus)

Figs 1–24. Labels of the lectotypes designated in this paper. 1 – Epeolus luctuosus Evers-

opencc-by-4.0Dec 2019View details →
zenodo36/100

Json file from Twitter API used for benchmarking Jsonpath

<p>A JSON file used as an example to illustrate queries and to benchmark some tool.</p>

opencc-by-4.0Oct 2022View details →
zenodo36/100

Json file from Twitter API used for benchmarking Jsonpath

<p>A JSON file used as an example in several software (such as SIMDJson) to illustrate queries and to benchmark some tools.</p>

opencc-by-4.0Oct 2022View details →
zenodo36/100

Collection of wing images for conservation of honey bees (Apis mellifera) biodiversity in Europe

<p>Identification of honey bee (<em>Apis mellifera</em>) from various parts of the world is essential for protection of their biodiversity. The identification can be based on wing measurements which is inexpensive and easy available. In order to develop such identification there are required reference samples from various parts or the world.</p> <p>We provide collection of 26481 honey bee fore wing images from 13 countries in Europe: Austria (AT), Croatia (HR), Greece (GR), Moldova (MD), Montenegro (ME), Poland (PL), Portugal (PT), Romania (RO), Serbia (RS), Slovenia (SI), Spain (ES), Turkey (TR). For each country there are three files starting with the two letter country code (indicated earlier in the parentheses): XX-wing-images.zip, XX-raw-coordinates.csv and XX-data.csv, which contain wing images, raw landmark coordinates and geographic coordinates, respectively. Files with prefix EU contain combined data from all countries.</p> <p>The resolution of the wing images was provided in pixels per meter. If the resolution was not provided it is not known. In those cases only wing shape and not wing size can be analyzed.&nbsp;</p> <p>For analysis of the dataset see:</p> <p>Oleksa, A., Căuia, E., Siceanu, A., Pu&scaron;kadija, Z., Kovačić, M., Pinto, M. A., Rodrigues, P. J., Hatjina, F., Charistos, L., Bouga, M., Pre&scaron;ern, J., Kandemir, İ., Ra&scaron;ić, S., Kusza, S., Tofilski, A. (2023). Honey bee (<em>Apis mellifera</em>) wing images: a tool for identification and conservation. GigaScience, 12, giad019. <a href="https://doi.org/10.1093/gigascience/giad019">https://doi.org/10.1093/gigascience/giad019</a></p> <p>Oleksa, A., Căuia, E., Siceanu, A., Pu&scaron;kadija, Z., Kovačić, M., Pinto, M. A., Rodrigues, P. J., Hatjina, F., Charistos, L., Bouga, M., Pre&scaron;ern, J., Kandemir, I., Ra&scaron;ić, S., Kusza, S., Tofilski, A. (2023). Apis-wings-EU. WorkflowHub. <a href="https://doi.org/10.48546/WORKFLOWHUB.WORKFLOW.422.1">https://doi.org/10.48546/WORKFLOWHUB.WORKFLOW.422.1</a></p>

openother-pdAug 2022View details →
zenodo36/100

SUNFISH Platform Documentation - API Interfaces of Distributed Components

<p>This document summarizes the interfaces provided in the dataset used to generate and document APIs designed and applied in the SUNFISH components.</p>

opencc-by-4.0Dec 2017View details →
dryad36/100

Data from: High foraging fidelity and plant-pollinator network dominance of non-native honeybees (Apis mellifera) in the Ecuadorian Andes

<p>These data reflect the floral visitor survey and mark-recapture efforts used in the 2022 study, "High Foraging Fidelity and Plant‑Pollinator Network Dominance of Non‑native Honeybees (<em>Apis mellifera</em>) in the Ecuadorian Andes"</p>

opencc-zeroMay 2024View details →
zenodo36/100

Raw web API output related to Figure 3 from https://arxiv.org/abs/2309.09893

<p>Raw web API output related to Figure 3 from https://arxiv.org/abs/2309.09893.</p> <p>&nbsp;</p> <p>Can also be found here https://github.com/CQCL/One_Bit_Addition_Raw_Data</p>

opencc-by-4.0Jan 2024View details →

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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