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Dataset results
311 results for “Open source”
An Online Integrated Development Environment for Automated Programming Assessment Systems Open Source Data
<p>This dataset accompanies the paper <em>"An Online Integrated Development Environment for Automated Programming Assessment Systems"</em>. It contains data from the usability evaluation of a feature-rich online IDE designed for integration into Automated Programming Assessment Systems (APASs). The dataset includes survey responses from 27 participants based on the Technology Acceptance Model (TAM), performance metrics such as memory usage, and qualitative user feedback. The study highlights challenges in integrating online IDEs with APASs, such as memory efficiency, load balancing, and user experience. The dataset supports further research in developing scalable, effective, and user-friendly programming education tools.<br><br>Here you can find the code changes required for the online IDE in Artemis: <a href="https://github.com/ls1intum/Artemis/pull/6706/files" target="_blank" rel="noopener">Github</a></p>
GitHub Open Source Survey 2024
<p>Data and accompanying documentation for the Open Source Survey fielded by GitHub and collaborators in 2024. Respondents were sourced via random sampling from traffic to licensed open source repositories on GitHub.com. A report based on the subset of responses sampled from GitHub.com is available at http://opensourcesurvey.org/2024/. </p> <p>See the README for details on sampling methodology, and notes and questionnaire files for question wordings, response options, branching logic, and recoded variables.</p>
Replication Package for ICSE'21 paper - Representation of Developer Expertise in Open Source Software
<p>Replication package for ICSE'21 paper: Representation of Developer Expertise in Open Source Software.</p> <p>See README for details.</p>
Dataset of the paper "Self-Admitted Technical Debt Practices: A Comparison Between Industry and Open-Source"
<p>This repository contains the dataset of the manuscript "Self-Admitted Technical Debt Practices: A Comparison Between Industry and Open-Source" accepted in the Empirical Software Engineering Journal, edited by Springer</p>
Open data source for "Optically reconfigurable quasi-phase-matching in silicon nitride microresonators"
<p>The folder includes includes the raw data as well as codes that were used for generation of all Figures in the paper "Optically reconfigurable quasi-phase-matching in silicon nitride microresonators".</p>
Code & Data from: Development of a low cost open-source ultrasonic device for plant height measurements
<p>We here provide code and data for the study "Development of a low cost open-source ultrasonic device for plant height measurements"</p> <p>Code:<br> - Arduino code (management of the electronic circuit): "Arduino_ultrasonic_sensor.ino"<br> - OpenSCAD code (3D-printing): "3DShells_ultrasonic_sensor.scad"<br> - R code (statistical analysis of field test): "Statistical_analysis.R"</p> <p>Data:<br> - "manual_vs_sensor_controlled.csv": this file contains the comparison between the ultrasonic device and the ruler in standardized laboratory conditions. It has three columns: "manual_value", the height value measured manually; "sensor_value", the height value obtained from the ultrasonic device; "height_range", the interval to which the height value belongs (we worked with 25 cm intervals).<br> - "manual_vs_ruler_field.csv": this file contains the comparison between the ultrasonic device and the ruler in field conditions. Plant height measurements were performed on 26 sorghum genotypes. The file has four columns: "Genotype", the id of the measured genotype; "rep" the replicate (3 plants were measured for each genotype); "manual_value", the height value measured manually; "sensor_value", the height value obtained from the ultrasonic device. When using the ruler, the operator spent 15 min and 23 s to complete all measurements in the field, and 3 min and 27 s to enter all data manually in a digital file. When using the sensor, the operator spent 10 min and 52 s to complete all measurements in the field, and manual transcription was not needed since all measurements are instantaneously saved on an SD card.</p> <p>More details on the experimental data can be found in the article "Development of a low cost open-source ultrasonic device for plant height measurements".</p> <p>We also provide a tutorial to explain how to build the ultrasonic-sensor ("tutorial.docx")</p>
Research Compendium for Harrington et al. (2021): "An Open-Source Bayesian Atmospheric Radiative Transfer (BART) Code: I. Design, Tests, and Application to Exoplanet HD 189733 b"
<p>This archive is the Reproducible Research Compendium for<br> <br> An Open-Source Bayesian Atmospheric Radiative Transfer (BART) Code: I. Design, Tests, and Application to Exoplanet HD 189733 b<br> <br> by Harrington et al. (2021), published in The Planetary Science Journal.<br> <br> BART is an atmospheric parameter retrieval code. It infers the properties of planetary atmospheres from spectroscopic observations. The compendium includes all the software, documentation, configuration files, plots, and data published in the paper. The compendium is under the Reproducible Research Software License; see LICENSE file. The README provides additional information and describes the contents of each compressed .tar.gz file.</p>
CaImAn: An open source tool for scalable Calcium Imaging data Analysis
<p>Advances in fluorescence microscopy enable monitoring larger brain areas <em>in-vivo</em> with finer time resolution. The resulting data rates require reproducible analysis pipelines that are reliable, fully automated, and scalable to datasets generated over the course of months. We present CaImAn, an open-source library for calcium imaging data analysis. CaImAn provides automatic and scalable methods to address problems common to preprocessing, including motion correction, neural activity identification, and registration across different sessions of data collection. It does this while requiring minimal user intervention, with good scalability on computers ranging from laptops to high-performance computing clusters. CaImAn is suitable for two-photon and one-photon imaging, and also enables real-time analysis on streaming data.</p> <p>To benchmark the performance of CaImAn we collected and combined a corpus of manual annotations from multiple labelers on nine mouse two-photon datasets, that are contained in this open access repository. We demonstrate that CaImAn achieves near-human performance in detecting locations of active neurons.</p> <p>In order to reproduce the results of the paper or download the annotations and the raw movies, please refer to the readme.md at:</p> <p>https://github.com/flatironinstitute/CaImAn/blob/master/use_cases/eLife_scripts/README.md</p> <p> </p>
Object-based image analysis for monitoring plant invasions, can we use an open-source solution?
<p><strong>Introduction</strong></p> <p>This is a practical exercise testing possibilities of open-source solutions (FOSS) for object-based image analysis (OBIA) to monitor plant invasion using unoccupied aerial system (UAS, drone).</p> <p>The material is accompanying a chapter <strong><em>Müllerová, J. et al. (2023). Vegetation mapping and monitoring by unoccupied aerial systems – current state and perspectives. In: Manfreda, S. et Eyal B.D. (eds). Unmanned Aerial Systems for Monitoring Soil, Vegetation, and Riverine Environments. Elsevier.</em></strong></p> <p>The material is meant for readers to run the workflow and detect invasion of giant hogweed on the UAS data themselves testing different FOSS solutions.</p> <p> </p> <p><strong>Data</strong></p> <p>• a subset of UAS-borne data (consumer camera) collected in Czech Republic during the flowering of a noxious invasive plant species giant hogweed (<em>Heracleum mantegazzianum</em>)</p> <p>• training dataset</p> <p>• eCognition rulebase (proprietary OBIA software)</p> <p>• a script for SegOptim package implemented in R</p> <p> </p> <p><strong>Description</strong></p> <p>The use case represents a simple application of OBIA approach based on the SegOptim package implemented in R.</p> <p>Four bands (RGBN) UAS image subset are available, capturing the central area of a heavily invaded location (CZ) by giant hogweed (Heracleum mantegazzianum). Thanks to the proper image timing, the invasive species is clearly observable as white objects (in RGB) representing the various stage of the blossom. Considering the complex shape of the flower heads, detection based on image segmentation outperforms pixel-based classification (Müllerová et al., 2017). Simple segmentation of input imagery is performed (for simplicity only the spectral bands are considered both for segmentation and feature space definition, however additional features such as vegetation indices or textural measures may be included), followed by supervised classification using training data. Finally, a visual comparison of result detection both from proprietary (eCognition) and open-source (SegOptim) implementation is provided, confirming comparable results.</p> <p>Based on #github("joaofgoncalves/SegOptim")</p> <p> </p> <p><strong>References</strong></p> <p>Gonçalves, J., Pôças, I., Marcos, B., Mücher, C. A., & Honrado, J. P. (2019). SegOptim—A new R package for optimizing object-based image analyses of high-spatial resolution remotely-sensed data. <em>International Journal of Applied Earth Observation and Geoinformation</em>, <em>76</em>, 218-230.</p> <p>Müllerová, J., Brůna, J., Bartaloš, T., Dvořák, P., Vítková, M. & Pyšek, P. (2017b). Timing Is Important: Unmanned Aircraft vs. Satellite Imagery in Plant Invasion Monitoring. Frontiers in Plant Science 8:1–13.</p> <p>Accompanying material for</p> <p>Müllerová, J. et al. (2023). Vegetation mapping and monitoring by unoccupied aerial systems – current state and perspectives. In: Manfreda, S. et Eyal B.D. (eds). Unmanned Aerial Systems for Monitoring Soil, Vegetation, and Riverine Environments. Elsevier</p>
Dataset for "Open access books through open data sources: Assessing prevalence, providers, and preservation"
<p>This dataset contains the raw collected data reported on in the manuscript titled "Open access books through open data sources: Assessing prevalence, providers, and preservation" which is available here: https://doi.org/10.5281/zenodo.7305490</p> <p>One file contains the results of the digital object identifier queries, and the other data on which publication records were found to be included in which of the studied bibliometric data sources, and preservation services.</p> <p>The author is grateful to Alicia Wise and Ronald Snijder for assisting in the identification of available datasets and valuable feedback throughout the study.</p> <p>This research was commissioned by CLOCKSS, DOAB, and OAPEN.</p>
FilamentSensor 2.0: An open-source modular toolbox for 2D/3D cytoskeletal filament tracking
<p>This is the software described in our article 'FilamentSensor 2.0: An open-source modular toolbox for 2D/3D cytoskeletal filament tracking' and the used datasets for image analysis. It is intended as a easy to use software for tracking of cytoskeletal fibers offering both source code and GUI-based executable. Datasets are sorted according to figures in the article with folders containing raw images, analysis results and resulting figure files. The source folder also includes a tutorial and installation notes.</p> <p>For a system running Ubuntu 21.04 there is a slightly modified command line needed: java --module-path /usr/share/openjfx/lib –add-modules=javafx.base,javafx.controls,javafx.fxml,javafx.graphics,javafx.media,javafx.swing,javafx.web -jar GUIFocalAdhesionOnly.jar</p>
U.S. Science Journalists' Knowledge and Opinion of Open Access Articles as Sources
<p>Survey data of U.S. science journalists and their knowledge and opinions of OA research as news sources.</p>
Open-source design files for harvesting energy from overhead power line cables
<p>OpenSource_CalculationFile_MEH.xlsx : this is an excel file that provides a calculation tool to select a magnetic core for harvesting energy from powerlines.</p> <p>OpenSource_Schematic_MEH.pdf : this is a schematic file that provides a detailed design of the charging circuit.</p>
Evaluation of Open Source Ventilators (OTRL & ODRL)
<ul> <li>applying the open readiness scales introduced in https://doi.org/10.1016/j.procir.2022.05.306 onto the whole dataset of PubInv's evaluation of open source ventilators for COVID-19 crisis response</li> <li>find here: <ul> <li>the evaluation (final scores) of the full dataset (incl. the unfiltered dataset and PubInv's evaluations)</li> <li>the log for all evaluations for details and as a rationale for each evaluation</li> </ul> </li> </ul>
KeyNet: An Open Source Dataset of Key Bittings
<p>This repository introduces a dataset of obverse and reverse images of 319 unique Schlage SC1 keys, labeled with each key's bitting code. </p> <p>We make our data accessible in an HDF5 format, through arrays aligned where the Nth index of each array represents the Nth key, with keys sorted ascending by bitting code:</p> <ul> <li><code>/bittings</code>: Each keys 1-9 bitting code, recorded from shoulder through the tip of the key, <code>uint8</code> of shape (319,5).</li> <li><code>/obverse</code>: Obverse image of each key, <code>uint8</code> of shape (319,512,512,3).</li> <li><code>/reverse</code>: Reverse image of each key, <code>uint8</code> of shape (319,512,512,3).</li> </ul> <p>Full dataset details available on <a href="https://github.com/alexxke/keynet">GitHub</a></p>
Data Supplement: GIRFReco.jl: An Open-Source Pipeline for Spiral Magnetic Resonance Image (MRI) Reconstruction in Julia
<p><strong>Dataset for GIRFReco.jl Paper</strong><br> <br> Please download this and extract to an appropriate location prior to running the demonstration code in GIRFReco.jl. The extracted folder will serve as the root directory in the demo code.</p>
Example sonifications from the Astronify open-source Python package.
<p>The file named "10_galexFlare.wav" is a sonification of a stellar flare observed by the GALEX space telescope. This sonification uses a linear stretch on the pitch range 100-10,000 Hz, with a note duration of 0.8 seconds and 0.04 seconds between notes. The file named "1_kepler12b.wav" is a sonification of a transiting exoplanet observed by the Kepler space telescope. This sonification uses a linear stretch on the pitch range 100-10,000 Hz, with a note duration of 0.5 seconds and 0.01 seconds between notes.</p>
Alert Type Frequency Assessment of Open-Source Static Analysis Tools and Codebases
<p>This includes all data needed to replicate and validate our frequency analysis of static analysis (SA) alerts produced using open-source SA tools on several OSS codebases. It includes instructions how to get and run the SA tools, a Dockerfile to conveniently get and use the SA tools, raw SA tool output, some python scripts to parse that output, parsed SA data and aggregate analyses, and SA data augmented with CERT coding rule and CWE data. </p> <p>The SA tools used:</p> <ul> <li>clang-tidy version 15.07 </li> <li>cppcheck version 2.9 </li> <li>CERT Rosecheckers </li> </ul> <p>The codebases analyzed:</p> <ul> <li>zeek version 5.1.1</li> <li>git version 2.39.0</li> <li>dos2unix version 7.4.3</li> </ul>
Quality Assurance Awareness in Open Source Software Projects on GitHub Analysis Dataset
<p>Dataset for the paper "Quality Assurance Awareness in Open Source Software Projects on GitHub", submitted to the 23rd IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM), 2023.</p>
Bee Tracker – an open-source machine-learning based video analysis software for the assessment of nesting and foraging performance of cavity-nesting solitary bees
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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.