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406 results for “API”
Practica Zenodo Api
<p>Datasets para la práctica de Zenodo de DLC.</p>
The dose makes the poison: feeding of antibiotic-treated winter honey bees, Apis mellifera, with probiotics and b-vitamins
<div> <p><span>Honey stores of </span><em><span>Apis mellifera</span></em><span> colonies are replaced with sugar water by beekeepers, which may result in malnutrition. Nutritional supplements have been developed, but the importance of bacterial probiotics and vitamins is poorly understood. Given that supplementary feeding with vitamins and probiotics enhances worker weight and longevity, this would suggest a feasible approach to mitigate winter colony losses. Here, we conducted a laboratory hoarding cage study with freshly emerged winter bees, which were treated with the antibiotic tetracycline to reduce gut bacteria and subsequently assigned to feeding regimes: sucrose only, sucrose + pollen, probiotics (low and high dosage), probiotics + pollen (low and high dosage), or b-vitamins (low and high dosage), (N=8 treatments, 29 workers/cage x8 replicates). In parallel, controls remained on their frame (=Frame) to establish their gut microbiota and were subsequently fed with sucrose only or sucrose + pollen (N=2 treatments, 29 workers/cage x4 replicates). Higher body weights were found in workers fed pollen, and in notably the Frame Sucrose + Pollen group, confirming a role of gut bacteria in protein digestion. Furthermore, both Frame groups and the antibiotic-treated workers fed with probiotic low + pollen survived longer than all other groups, highlighting an inherent host-microbial relationship. In contrast, high dosages of both probiotic and b-vitamins significantly reduced life span compared to their low concentration counterparts, probably due to dysbiosis and toxicity, suggesting that the outcome was dose-dependent. These results highlight that bacterial supplementation can alter longevity with advisable caution since harmful concentrations appear to exist.</span> </p> </div>
GPM_API - Global Hourly Soil Moisture from GPM IMERG Data - 2015
<p><strong># GPM_API 2015</strong></p> <p>GPM_API data root: <a href="https://zenodo.org/record/6489998">https://zenodo.org/record/6489998</a></p> <p><strong># Related article:</strong></p> <p>Ramsauer, T., & Marzahn, P. (2023). Global Soil Moisture Estimation based on GPM IMERG Data using a Site Specific Adjusted Antecedent Precipitation Index. <em>International Journal of Remote Sensing</em>, 44(2), 542-566.</p> <p>Article: <a href="https://doi.org/10.1080/01431161.2022.2162351">https://doi.org/10.1080/01431161.2022.2162351</a></p> <p>Free PDF: <a href="https://www.tandfonline.com/eprint/6VHQ7JCCJXSPAMG3PVIG/full?target=10.1080/01431161.2022.2162351">www.tandfonline.com/eprint/6VHQ7JCCJXSPAMG3PVIG/full?target=10.1080/01431161.2022.2162351</a></p>
Web scraping and API projects from "Online Data Collection and Management" (Spring 2022)
<p>As part of "Online Data Collection and Management" (taught at Tilburg University, Spring 2022), students collected publicly available datasets for use in academic research projects. With this repository, I am sharing (a) the documentation of these data sets, and (b) the associated source code that led to the collection of the data. The repository also contains the collected datasets.</p> <p>The data consists of the following projects:</p> <ul> <li>Autoscout (electric cars vs gasoline cars in the Dutch market)</li> <li>Mediamarkt (e-commerce)</li> <li>Steam API</li> <li>Twitch (chat capture)</li> <li>Zalando (e-commerce)</li> </ul> <p>Course website: https://odcm.hannesdatta.com. Archived at https://doi.org/10.5281/zenodo.6641811 (check for more recent versions if available).</p>
Generación automática de Oráculos de Prueba para APIs RESTful
<p>Este directorio contiene el paquete de replicación del Trabajo de fin de Máster "Generación Automática de Oráculos de Prueba para APIs RESTful", realizado por Juan Carlos Alonso Valenzuela. En concreto, el directorio contiene los siguientes archivos:</p> <p>- bugs_videos.zip: Vídeos que muestran la replicación de los bugs encontrados en sistemas reales.</p> <p>- daikon_modified.zip: Versión de Daikon modificada empleada para la realización de la experimentación.</p> <p>- evaluation.zip: Contiene varias hojas de cálculo con la clasificación de todos los invariantes generados como true positives, false positives o bugs. También contiene un report final de los resultados (Final report.xlsx).</p> <p>- oas-instrumenter.zip: Instrumenter desarrollado. Este proyecto también contiene (dentro del directorio src/test/resources/evaluation) las especificaciones OAS de cada API, los archivos de configuración de RESTest de cada operación (incluyendo los diccionarios de datos usados), los casos de prueba en formato .csv, los invariantes detectados y los DeclsFiles y DtraceFiles.<br> </p>
Automated inference of sequences of operations in RESTful APIs with deep reinforcement learning - replication package
<p>This directory contains the replication package of the article entitled "Automated inference of sequences of operations in RESTful APIs with deep reinforcement learning". Please note that this is NOT a real publication or scientific report, but a project created for the purpose of learning the basic concepts of research by emulating the process of creating an article.</p>
ESEC/FSE 2022 SRC - Automated Generation of Test Oracles for RESTful APIs
<p>Replication package of the paper entitled "Automated Generation of Test Oracles for RESTful APIs". Specifically, the directory contains the following files:</p> <p>- bugs_videos.zip: Videos showing the replication of bugs found in real systems.</p> <p>- daikon_modified.zip: Modified version of Daikon used for the experimentation.</p> <p>- evaluation.zip: Contains several spreadsheets with the classification of all the generated invariants as true positives, false positives or bugs. It also contains a final report of the results (Final report.xlsx).</p> <p>- oas-instrumenter.zip: Instrumenter implemented. This project also contains (inside the src/test/resources/evaluation directory) the OAS specifications for each API, the RESTest configuration files for each operation (including the data dictionaries used), the test cases in .csv format, the detected invariants and the DeclsFiles and DtraceFiles.<br> </p>
[Supplementary material] Online Testing of RESTful APIs: Promises and Challenges
<p>This is the supplementary material of the paper entitled <em>Online Testing of RESTful APIs: Promises and Challenges</em>.</p> <p><strong>NOTE: An online easier-to-navigate version of this supplementary material is available at <a href="https://anonymous.4open.science/r/fse2022-supplementary-material-1172">https://anonymous.4open.science/r/fse2022-supplementary-material-1172</a>.</strong></p>
APIS Dataset humanities scholars
<p>This dataset has been produced during a small sub-project of APIS (https://apis.acdh.oeaw.ac.at). It contains data from 151 annotated biographies of the Austrian Biographical Dictionary. These selection of biographical articles describe the life and career steps of historians, librarians, teachers etc. These particular texts have been manually annotated through the webapplication APIS. Through these annotations relations between different kinds of entities were established. The result are biographical data which can be used for network visualization or statistical queries.</p>
Implementation of Rest-API in the Integration of Diploma Supplement Certificate Application
<p>This material has presented on 2nd International Conference on Advanced Research in Engineering and Technology in October 25, 2023.</p>
Pakistan Weather Data(API)
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Dummy file for floatcsep zenodo API
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An Empirical Study on the Impact of Refactoring Activities on Evolving Client-Used APIs
<p>Context: Refactoring is recognized as an effective practice to maintain evolving software systems. For software libraries, we study how library developers refactor their Application Programming Interfaces (APIs), especially when it impacts client users by breaking an API of the library. Objective: Our work aims to understand how clients that use a library API are affected by refactoring activities. We target popular libraries that potentially impact more library client users. Method: We distinguish between library APIs based on their client-usage (refereed to as client-used APIs) in order to understand the extent to which API breakages relate to refactorings. Our tool-based approach allows for a large-scale study across eight libraries (i.e., totaling 183 consecutive versions) with around 900 clients projects. Results: We find that library maintainers are less likely to break client-used API classes. Quantitatively, we find that refactoring activities break less than 37% of all client-used APIs. In a more qualitative analysis, we show two documented cases of where non-refactoring API breaking changes are motivated other maintenance issues (i.e., bug fix and new features) and involve more complex refactoring operations. Conclusion: Using our automated approach, we find that library developers are less likely to break APIs and tend to break client-used APIs when addressing these maintenance issues.</p>
Towards Filtering Out Deficient Pull Requests Collected through the GitHub API
<p>This is a replication package for an APSEC 2024 ERA paper.</p>
Fig. 2 in Novel haplotypes of the COI-COII mtDNA region in the dark forest bee, Apis mellifera mellifera L., 1758
Fig. 2. The pattern of the P element sequence (54 bp) and the Q element (Q1, Q2, and Q3) sequences (197, 195, 195 bp, respectively) of the COICOII intergenic region of haplotypes M4 and M4' in Apis mellifera mellifera bees from Siberia. Nucleotide substitutions are highlighted, deletions are indicated by a dash and highlighted. Рис. 2. Структура P-Элемента (54 п.н.) и Q-Элементов (Q1, Q2 и Q3) (197, 195, 195 п.н., соответственно) межгенной области COI-COII мтДНК (гаплотипы M4 и M4') у пчел Apis mellifera mellifera сибирских популЯций. Нуклеотидные Замены выделены цветом, делеции обоЗначены тире и выделены цветом.
Fig. 1 in Novel haplotypes of the COI-COII mtDNA region in the dark forest bee, Apis mellifera mellifera L., 1758
Fig. 1. The map of localization of areas in Siberia (the Tomsk Region, the Krasnoyarsk Krai, the Altai Krai) and apiaries (dots 1–20), where a dark forest bee is identified. The distribution of COI-COII mtDNA locus variants (PQQ and PQQQ) in Apis mellifera mellifera bees from Siberian apiaries and their frequency in three regions of Siberia are presented on the right side of the figure. Рис. 1. Карта регионов Сибири (ТомскаЯ область, КрасноЯрский край, Алтайский край) и локалиЗации пасек (точки 1–20) на территории Сибири, где выЯвлена темнаЯ леснаЯ пчела. Распределение вариантов локуса COI-COII мтДНК (PQQ и PQQQ) у темных лесных пчел на пасеках и их частота в трех регионах Сибири представлены в правой части рисунка.
Macrocheles muscaedomesticae on Apis mellifera
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This repository serves as a replication package for the research paper titled "Typestate-based Fault Localization of API Usage Violations in a Deep Learning Program"
<h2>Overview</h2> <p>This repository serves as a replication package for the research paper titled "An Approach to Detecting Usage Protocol Violations in Deep Learning Programs."</p> <h2>Benchmarks</h2> <p>Two benchmarks were utilized in the research:</p> <ol> <li> <p>Benchmark1 from NeuraLint:</p> <ul> <li>Location: <code>NLBench/SOSamples</code></li> </ul> </li> <li> <p>Benchmark2 from Humbatova et al.:</p> <ul> <li>Location: <code>HumbatovaBench/SOSamples</code></li> </ul> </li> </ol> <h2>Reproducing Results</h2> <p>To replicate the results presented in the paper, follow these steps:</p> <ol> <li>Download the NeuralStateAnalysis Zip file.</li> <li>Extract the file and navigate to the NeuralStateAnlaysis directory.</li> <li>(Optional) Install the necessary requirements by executing <code>pip install requirements.txt</code>. Note: The requirements.txt file is already available in this repository.</li> </ol> <h3>Running NeuralState on <code>NLBench</code>:</h3> <ol> <li>Navigate to the <code>NLBench</code><code>/SOSamples</code> directory.</li> <li>Open any of the programs you wish to execute.</li> <li>Set the path to the NeuralStateAnalysis directory: <code>Path-to-folder/NeuralStateAnalysis/</code></li> <li>Run the program using the command <code>python program_id</code>. Since the 'NeuralStateAnalysis(model).debug()' call is already present in all programs, you will be able to reproduce the results.</li> </ol> <h3>Running NeuralState on <code>HumbatovaBench</code>:</h3> <ol> <li>Navigate to the <code>HumbatovaBench</code><code>/SOSamples</code> directory.</li> <li>Open any of the programs you wish to execute.</li> <li>Set the path to the NeuralStateAnalysis directory: <code>Path-to-folder/NeuralStateAnalysis/</code></li> <li>Run the program using the command <code>python program_id</code>. Since the 'NeuralStateAnalysis(model).debug()' call is already present in all programs, you will be able to reproduce the results.</li> </ol>
Data from: Fungicide suppression of flight performance in the honey bee (Apis mellifera) and its amelioration by quercetin
As a managed agricultural pollinator, the western honey bee Apis mellifera frequently encounters agrochemicals as contaminants of nectar and pollen. One such contaminant, the fungicide boscalid, is applied at bloom in orchards for fungal floral pathogen control. As an inhibitor of complex II in the mitochondrial electron transport chain of fungi, boscalid can potentially interfere with high energy-demanding activities of bees, including flight. We designed an indoor flight treadmill to evaluate impacts of ingesting boscalid and/or quercetin, a ubiquitous phytochemical in bee food that also affects mitochondrial respiration. Boscalid reduced the wing-beat frequencies of foragers during flight but did not alter the duration of flight. At the colony level, boscalid ingestion may thereby affect overall health by reducing forager efficiency. Consumption of quercetin, by contrast, led to higher adenosine triphosphate levels in flight muscles and a higher wing-beat frequency. Consuming the two compounds together increased wing beat frequency, demonstrating a hitherto unrecognized mechanism by which dietary phytochemicals may act to ameliorate toxic effects of pesticides to promote honey bee health. In carrying out this work, we also introduce two methodological improvements for use in testing for pesticide effects on flight capacity—a "force-feeding" to standardize flight fuel supply and a novel indoor flight treadmill.
Unprocessed data for the "Property-Based Testing of Web APIs" paper
<p>Unprocessed data for the "Property-Based Testing of Web APIs" paper. </p>
ScienceDex guides
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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.