Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

708

datasets available to search

ShareScore release 0.7.1

Reset

Dataset results

708 results for “Java”

Learn how ShareScore rates datasets ↗
zenodo40/100

Figs 2–5 in Revision of the land snail genus Landouria Godwin-Austen, 1918 (Gastropoda, Camaenidae) from Java

Figs 2–5. Shells of species of Landouria from Java. 2. L. winteriana (Pfeiffer, 1842), West Java, Padalarang, Gunung Masigit (neotype of Helix winteriana, ZMA 376193a). 3. L. winteriana, West Java, Cibodas (syntype of Plectotropis kraepelini Leschke, 1914, ZMH 98416). 4. L. conoidea (Leschke, 1914), West Java, Bogor (syntype, ZMH 98144). 5. L. rotatoria (Pfeiffer, 1842), West Java, Gunung Salak (neotype of Helix rotatoria, MZB 19205). Scale bar: 5 mm.

opencc-by-4.0May 2019View details →
zenodo40/100

Fig. 1. Bayesian 50 in Revision of the land snail genus Landouria Godwin-Austen, 1918 (Gastropoda, Camaenidae) from Java

Fig. 1. Bayesian 50% majority rule consensus tree based on mitochondrial 16S rDNA sequences of species of Landouria Godwin-Austen, 1918 with Mandarina suenoae Minato, 1978 and Euhadra peliomphala (Pfeiffer, 1850) as outgroups. All species of Landouria in this tree are from Java except L. omphalostoma Páll-Gergely & Hunyadi, 2013 from China and L. timorensis Köhler et al. in press, L. montana Köhler et al. in press and Landouria sp. nov. (= L. winteriana (non Pfeiffer, 1842) in Köhler et al. (in press)) from Timor. Values at the nodes represent Bayesian posterior probabilities (left) and maximum likelihood bootstrap values (right). Numbers after taxon names correspond to MZB and ZMH catalogue numbers, AM catalogue numbers or GenBank accession numbers (see Table 1).

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

Embedding Java Classes with code2vec - Java Datasets

<p>This is&nbsp;a collection of Java class classification datasets (i.e., classify a class into one of a set of categories), collected for the research work &#39;<strong>Embedding Java Classes with code2vec:&nbsp;Improvements&nbsp;from Variable Obfuscation</strong>&#39;. These are shared for further research in static code analysis tasks (malware classification, author attribution, etc).</p> <p>Obfuscation &amp; Pipeline Code:&nbsp;<a href="https://zenodo.org/record/3601003">Download</a></p> <p>code2vec Models:&nbsp;<a href="https://zenodo.org/record/3577367">Download</a></p>

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

Java code snippets from SOTorrent v23-09-2019

<p>These data is an extraction of the Java code snippets from the snapshot in SOTorrent dated in 23-09-2019. The CSV file contains five fields: Question_ID, Answer_ID, Body, Tags and Score.</p>

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

JCrashPack: A Java Crash Reproduction Benchmark

<p>A Java Crash reproduction benchmark</p>

openother-openApr 2020View details →
zenodo36/100

CVS-Vintage: A dataset of 14 CVS repositories of java software

<p>CVS-Vintage is a dataset of 14 CVS repositories of Java applications. This dataset aims at supporting the replication of early papers in the field of software evolution and mining software repositories. By building this dataset, we saved some CVS repositories from a probable death by deletion.</p> <pre>@techreport{monperrus:hal-00769121, &nbsp;title = {CVS-Vintage: A Dataset of 14 CVS Repositories of Java Software}, &nbsp;author = {Monperrus, Martin and Martinez, Matias}, &nbsp;url = {https://hal.archives-ouvertes.fr/hal-00769121/file/paper.pdf}, &nbsp;year = {2012}, &nbsp;number = {hal-00769121}, &nbsp;institution = {HAL}, }</pre> <p>A Git version is available at https://github.com/monperrus/cvs-vintage/</p>

opencc-zeroMay 2012View details →
zenodo36/100

Java concurrency

<p><strong>Data (External):  </strong>"http://stap.sjtu.edu.cn/index.php?title=JaConTeBe#Searched_Bugs"</p> <p>Reference</p> <p>Studies who have been using the data (in any form) are required to include the following reference:</p> <p>@INPROCEEDINGS{7372007, author={Lin, Ziyi and Marinov, Darko and Zhong, Hao and Chen, Yuting and Zhao, Jianjun}, booktitle={Automated Software Engineering (ASE), 2015 30th IEEE/ACM International Conference on}, title={JaConTeBe: A Benchmark Suite of Real-World Java Concurrency Bugs (T)}, year={2015}, pages={178-189}, keywords={Benchmark testing;Computer bugs;Concurrent computing;Java;Open source software;System recovery;JaConTeBe;Java concurrency bugs;SIR;benchmark suite;evaluations}, doi={10.1109/ASE.2015.87}, month={Nov},}</p> <p>About the Data</p> <p>Overview of Data</p> <p>JaConTeBe is a benchmark suite for Java concurrency bugs. The initial version of JaConTeBe contains 47 confirmed, real-world concurrency bugs from 8. open-source projects. JaConTeBe is an ongoing work and the authors plan to collect more bugs in the future.</p> <p>Paper Abstract</p> <p>Researchers have proposed various approaches to detect concurrency bugs and improve multi-threaded programs, but performing evaluations of the effectiveness of these approaches still remains a substantial challenge. We survey the existing evaluations and find out that they often use code or bugs not representative of real world. To improve representativeness, we have prepared JaConTeBe, a benchmark suite of 47 confirmed concurrency bugs from 8 popular open-source projects, supplemented with test cases for reproducing buggy behaviors. Running three approaches on JaConTeBe shows that our benchmark suite confirms some limitations of the three approaches. We submitted JaConTeBe to the SIR repository (a software-artifact repository for rigorous controlled experiments), and it was included as a part of SIR.</p>

opencc-by-4.0Jan 2016View 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

Aftershock Relocation of the November 21, 2022 Cianjur (West Java - Indonesia) Earthquake using Temporary Seismic Network

<p>Aftershock Relocation of the November 21, 2022 Cianjur (West Java - Indonesia) Earthquake using Temporary Seismic Network&nbsp;</p>

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

Figure 6. Male Cosmophasis thalassina from Java. 1-2 in New synonymy for the jumping spider Cosmophasis thalassina (C. L. Koch 1846) (Araneae: Salticidae: Chrysillini)

Figure 6. Male Cosmophasis thalassina from Java. 1-2, Ventral and lateral views of the left pedipalp of a male from Bantul, Java. 3, Large and small males from Yogyakarta, Java. 4-5, Ventral and lateral views of the left pedipalp of the small male shown in (3). 6-7, Ventral and lateral views of the large male shown in (3). Photographs by Naufal Urfi Dhiya'ulhaq, used with permission.

opencc-by-nd-4.0Jan 2024View details →
zenodo36/100

Efficient Implementation of a Novel Decomposition Approach for the Hazmat Network Design Problem with Capacity Constraints in Java Including Computational Results

<p>Supplementary material for the Publication "Solving Multi-Follower Mixed-Integer Bilevel Problems with Binary Linking Variables"</p>

openmit-licenseNov 2024View details →
zenodo36/100

A Vulnerability Introducing Commit Dataset for Java: an Improved SZZ Based Approach

<p>This archive file contains the dataset generated from project-KB by applying our two-phase improved SZZ based algorithm for extracting vulnerability introducing commits. The package contains also the two tools (FilterBugIntroder, BugIntroducer) that automates the process.</p>

opencc-by-4.0Dec 2021View details →
dryad36/100

Data from: Controlling trapping, overgrazing and invasive vegetation is key to saving Java's last population of the Black-winged Myna

<p><span><span>The Black-winged Myna (<em>Acridotheres melanopterus</em>) is an Endangered passerine endemic to the islands of Java and Bali, Indonesia. </span><span>Illegal trapping to supply the cage-bird trade has led to its near-total extinction, with the global population estimated to number fewer than 100 individuals. The only known population of Black-winged Mynas on Java occurs at Baluran National Park (BNP). </span>These data were generated to meet the two primary aims of the linked paper: the first was to estimate the Black-winged Myna <em>(Acridotheres</em> <em>melanopterus</em>) population size and range at BNP; and the second was to use species distribution modelling to evaluate the potential suitability of areas currently unoccupied by Black-winged Mynas across BNP to identify priorities for management intervention. We carried out line-transect distance sampling following the standard distance analysis method to estimate the population size. A total of 56 detections of groups of Black-winged Mynas were recorded along line transects and are included in the dataset. These records are associated with the land cover type for that segment of the transect, the perpendicular distance of the record to the transect, and the survey effort associated with each transect. To produce the species distribution model, we used three predictor raster layers along with all Black-winged Myna presences recorded </span>(not freely available, see below) and a generated set of pseudo-absences. The dataset contains both the raw data used to create the land cover classification as well as the final raster. The raw data used to produce the habitat classification contains classified points (n = 426) from across BNP, which were used as a training and test data for a random forest land cover classification.</p>

opencc-zeroFeb 2022View details →
zenodo36/100

The Dataset for the Joint geodynamic-geophysical inversion reveals passive subduction and accretion of the Ontong Java Plateau

<p>The Dataset for the Joint geodynamic-geophysical inversion reveals passive subduction and accretion of the Ontong Java Plateau</p>

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

VizAPI: Visualizing Interactions between Java Libraries and Clients -- Dataset and Artifacts

<p>This dataset contains all interactions (static and dynamic) across software components that happen when you run unit tests of projects. Interactions include method calls, fields, instantiations, subtyping and annotations.</p>

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

Text-fig. 1. Location of study area within Majalengka, West Java, Indonesia. in Lithofacies And Ichnofacies Of Turbidite Deposits, West Java, Indonesia

Text-fig. 1. Location of study area within Majalengka, West Java, Indonesia.

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

Figs 5–14 in NEW SPECIES OF THE PYGMY GRASSHOPPERS GENUS FALCONIUS BOLÍVAR, 1898 (ORTHOPTERA: TETRIGIDAE) FROM JAVA ISLAND

Figs 5–14. Falconius bogor sp. n. 5–11 – female (holotype), 12–14 – male (paratype). 5 –

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

Figs 1–4 in NEW SPECIES OF THE PYGMY GRASSHOPPERS GENUS FALCONIUS BOLÍVAR, 1898 (ORTHOPTERA: TETRIGIDAE) FROM JAVA ISLAND

Figs 1–4. Falconius bogor sp. n., body, lateral (1, 3) and dorsal (2, 4) view. 1, 2 – female

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

Short Sword - Java RPG - Free Download

Working on a Java Minecraft RPG? Get started with this free sword model. Download the java files here: https://www.dropbox.com/s/zmai7njpmdn5qzl/short_sword%20by%20ArtsByKev.zip?dl=1 Source: Objaverse 1.0 / Sketchfab

opencc-byDec 2020View details →
zenodo36/100

A corpus of Java projects representing the 2012 Ohloh universe

<p>A corpus of Java projects build using the&nbsp;Software Projects Sampling (SPS) tool by Naggapan et al [1]. SPS&nbsp;measures representativeness of a smaller corpus with respect to the universe (Ohloh 2012)&nbsp;in terms of diversity dimensions and constructs a maximally representative corpus by iteratively adding projects that would increase the representativeness most.</p> <p>The corpus contains the source code of the projects selected at 1 June 2012. This is due to the fact that the Ohloh data on which the diversity was calculated was of that period.</p> <p>&nbsp;</p> <p>[1] &nbsp;M. Nagappan, T. Zimmermann, and C. Bird, &ldquo;Diversity in software&nbsp;engineering research,&rdquo; in ESEC/FSE. ACM, 2013, pp. 466&ndash;476.</p>

opencc-by-4.0Dec 2015View details →

ScienceDex guides

Understand access before you commit

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

Compare curated 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.

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