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66 results for “Vulnerabilities dataset”

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zenodo40/100

'Does crown sheltering effect the vulnerability of trees to wind damage in tropical forests? ' project dataset

<p>The manually delineated tree crowns, polygon-based sheltering indices, canopy height model (CHM) and digital surface model (DSM) generated to investigate the effects of local crown sheltering on wind vulnerability in Barro Colorado Island, Panama. Files include both circular and directional indices at 10m, 20m, 50m and 2 x canopy radius.</p>

opencc-by-4.0Mar 2023View details →
zenodo40/100

NATIONAL CYBER VULNERABILITIES DATASET

<pre>This dataset contains relevant information on the set of cyber vulnerabilities cataloged so far that can affect different applications or software. This contains information about: their names, affected products, inclusion date, severity, score, affectations, among others. It is of vital importance in the world of cybersecurity. </pre>

opencc-by-4.0Apr 2023View details →
zenodo40/100

Study Dataset: Shedding Light on CVSS Scoring Inconsistencies: A User- Centric Study on Evaluating Widespread Security Vulnerabilities

<p>This record contains the <strong>study datasets, descriptive results and questionnaires</strong> from the paper &quot;Shedding Light on CVSS Scoring Inconsistencies: A User-Centric Study on Evaluating Widespread Security Vulnerabilities&quot; by Julia Wunder, Andreas Kurtz, Christian Eichenm&uuml;ller, Freya Gassmann and Zinaida Benenson to appear in Proceedings of the 45th IEEE Symposium on Security and Privacy (2024).</p> <p>The pseudonymous <strong>datasets</strong> contain data from the online surveys (main study with 196 participants and follow-up study with 59 participants). The first row gives the question codes and questions, the following rows gives the answers from the participants (see also README.md).</p> <p>We also provide <strong>descriptive results</strong> from the online surveys as PDF and the questionnaires.</p> <p>Please refer to the README.md file and our paper for further details about the data set and study.</p>

opencc-by-4.0Aug 2023View details →
dryad40/100

Dataset: Surface waters in socially vulnerable areas are disproportionately under-monitored for nutrients in the U.S. South Atlantic-Gulf Region

Open the record for dataset details and reuse information.

publicMar 2025View details →
zenodo36/100

Dataset of 'Using Sequence-to-Sequence Learning for Repairing C Vulnerabilities'

<p>This is the dataset we collected for the &#39;Using Sequence-to-Sequence Learning for Repairing C Vulnerabilities&#39; paper. See the description in the paper for how the dataset was collected. Please cite &#39;Using Sequence-to-Sequence Learning for Repairing C Vulnerabilities&#39; if you use the dataset.</p> <p>&nbsp;</p> <p>src-all.txt and tgt-all.txt contain the tokenized function pairs and are ready to used as training data. Each line in both txt file corresponds to a function before and after a commit that was classified as a bug fix commit.</p> <p>&nbsp;</p> <p>The two tar files contain the raw data that was used to generate both txt files. Both containing the commits that were collected during the respective year.</p>

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

Vulnerable source code dataset

<p>Vulnerable source code dataset. Includes support dataset containing commit messages of security patches.&nbsp;</p>

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

Replication Package for "VALIDATE: A Deep Dive into Vulnerability Prediction Datasets"

<p>Replication Package for "VALIDATE: A Deep Dive into Vulnerability Prediction Datasets"</p><ul><li>SDR Results</li><li>SDR Queries</li><li>VALIDATE User Guide</li><li>Original Studies References in BibTeX</li></ul>

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

VFDelta Vulnerability Fix Dataset

<p>The vulnerability fix dataset of VFDelta contains two datasets used in our study: VFM_2021 and VFM_2023. Refer to our paper for the detail of dataset. We are working on model publishing; please always check for the <strong>newer</strong> <strong>version</strong>.</p> <ul> <li>vfm_2021_train_val.parquet</li> <li>vfm_2021_test.parquet</li> <li>vfm_2023_train_val.parquet</li> <li>vfm_2023_test.parquet</li> <li>eval_vfdelta.ipynb</li> </ul> <p>The commit-level dataset provides meta information of "repo_name", "commit_id", "label". train_val file contains "partition" for the split of training and validation set, and test file contains "vfdelta_predict_proba" which is the predict probability of each commit by VFDelta.&nbsp;</p> <p>To evaluate VFDelta's performance on vfm_2021 and vfm_2023, run <code>eval_vfdelta.ipynb</code>, use the column vfdelta_predict_proba as our prediction result. You can also use them to compare the performance of your prediction results with VFDelta's.</p>

openmit-licenseMar 2024View details →
zenodo36/100

Dataset for "Towards Centrality and Causality based Vulnerability Propagation Analysis"

<ul> <li> <p><strong><code>aggregated_data.json</code></strong>: This file contains the processed data generated after loading the Goblin Weaver tool. It includes all CVEs, CWEs, and other relevant attributes. Statistical analyses, particularly vulnerability analyses, are performed on this dataset.</p> </li> <li> <p><strong><code>graph_nodes_edges.pkl</code></strong>: This file stores the parsed GraphML-format graph, divided into chunks of nodes and edges to optimize memory usage during computations. All centrality-based measurements are conducted using this file.</p> </li> <li> <p><strong><code>cve_data.csv</code></strong>: This file captures features of nodes along with their one-hop neighbors. It includes attributes such as <code>whether_cve_exists</code>, <code>cve_exists</code>, and <code>cve_num</code>, as well as the source and target nodes involved.</p> </li> <li> <p><strong><code>cve_2_siblings_data.csv</code></strong>: This file documents features of nodes with their two-hop neighbors. It includes attributes like <code>whether_cve_exists</code>, <code>cve_exists</code>, and <code>cve_num</code>, along with details of source nodes and their two-hop neighbor nodes.</p> </li> <li><code><strong>fea_matrix.csv</strong>:</code><code>This file records the matrix of every node based on transformed five types of attributes, including missrelease (freshness missrelease), outdays(freshness outdatedTimeinMs), popularity, speed, and severity. It has been used for correlation analysis.&nbsp;</code></li> </ul>

opencc-by-4.0Nov 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 →
zenodo36/100

A Review of Smart Contract Vulnerability Datasets

<p>&nbsp; Dataset of the studies included and excluded from a review of smart contracts vulnerability datasets.</p>

opencc-by-4.0Jun 2022View details →
dryad36/100

VCF datasets and analysis scripts for: The combination of genomic offset and niche modelling provides insights into climate change-driven vulnerability

<p>Global warming is increasingly exacerbating biodiversity loss. Populations locally adapted to spatially heterogeneous environments may respond differentially to climate change, but this intraspecific variation has only recently been considered when modelling vulnerability under climate change. Here, we incorporate intraspecific variation in genomic offset and ecological niche modelling to estimate climate change-driven vulnerability in two bird species in the Sino-Himalayan Mountains. We found that the cold-tolerant populations show higher genomic offset but risk less challenge for niche suitability decline under future climate than the warm-tolerant populations. Based on a genome-niche index estimated by combining genomic offset and niche suitability change, we identified the populations with the least genome-niche interruption as potential donors for evolutionary rescue, i.e., the populations tolerant to climate change. We evaluated potential rescue routes via a landscape genetic analysis. Overall, we demonstrate that the integration of genomic offset, niche suitability modelling, and landscape connectivity can improve climate change-driven vulnerability assessments and facilitate effective conservation management.</p>

opencc-zeroAug 2022View details →
zenodo36/100

Outliers and Missing Gait_Human, IDS, JavaScript vulnerability Datasets

<p>Human Gait Dataset (CASIA-A) [1] is available at: http://www.cbsr.ia.ac.cn/english/Gait\%20Databases.asp, JavaScript vulnerability<br>dataset is publicly available at [2] and KDD CUP 99 dataset is publicly available at [3].</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>[1] Wang L, Tan T, Ning H, Hu W. Silhouette analysis-based gait recognition for<br>human identification. IEEE transactions on pattern analysis and machine<br>intelligence. 2003;25(12):1505&ndash;1518</p> <p>[2] Ferenc R, Heged ̋us P, Gyimesi P, Antal G, B ́an D, Gyim ́othy T. Challenging<br>machine learning algorithms in predicting vulnerable javascript functions. In:<br>2019 IEEE/ACM 7th International Workshop on Realizing Artificial Intelligence<br>Synergies in Software Engineering (RAISE). IEEE; 2019. p. 8&ndash;14.</p> <p>[3] Tavallaee M, Bagheri E, Lu W, Ghorbani AA. A detailed analysis of the KDD<br>CUP 99 data set. In: 2009 IEEE symposium on computational intelligence for<br>security and defense applications. Ieee; 2009. p. 1&ndash;6.</p> <p>&nbsp;</p>

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

Unveil the Mystery of Critical Software Vulnerabilities - Dataset

<p>This repository contains the dataset and the scripts used to collect the dataset in our paper</p> <p>&nbsp;</p> <p><strong>Unveil the Mystery of Critical Software Vulnerabilities</strong><br><br>Shengyi Pan, Lingfeng Bao, Jiayuan Zhou, Xing Hu, Xin Xia, Shanping Li</p> <p>FSE 2024 (industry)</p> <p>&nbsp;</p> <p>We provide a <strong>README.md</strong> that explains the usage of each file and the dataset format.</p>

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

Qatar Peninsula' High Vulnerability to Oil Spills and its Implication for the Potential Disruption in Global Gas Supply (Datasets)

<p>Outputs of oil spill dispersal simulations performed backward in time using OpenDrift for the following study:</p> <p>Anselain, T., Heggy, E., Dobbelaere, T., &amp; Hanert, E. (2022). Qatar Peninsula&rsquo; High Vulnerability to Oil Spills and its Implication for the Potential Disruption in Global Gas Supply. <em>Nature Sustainability</em>. In press.</p>

opencc-by-4.0Nov 2022View details →
dryad36/100

Dataset from: Exaptation and vulnerability to introduced mammal herbivores on Balearic endemic flora

<p><span><strong>Aim</strong>: </span><span>How introduced mammal herbivores affect insular flora is still under study. Also, disentangling which particular traits, that plants might develop from exaptations, are functional to avoid herbivory remains mainly unknown. This study aims to</span><span> assess if the flora of continental islands with historic native herbivores has exapted to the introduction of new mammal herbivores and to predict the potential vulnerability of endemic species from islands where mammal herbivores have not been introduced yet.</span></p> <p><span><strong>Location</strong>: </span><span>Balearic Islands</span></p> <p><span><strong>Taxon</strong>: 96 Balearic endemic plant species</span></p> <p><span><strong>Methods</strong>:</span><span> We investigated whether the endemic flora on continental islands maintains functional traits that resist introduced mammal herbivores by analysing the chemical and morphological traits related to plant resistance of five individuals per species (n=480). Also, we measured plant-size variables to assess plant escape strategies. Overall, we combined these traits with the accessibility to goats. Predictive models were generated for species that inhabit islands where goats have not been introduced to assess their potential vulnerability.</span></p> <p><span><strong>Results</strong>:</span><span> Endemic species may defend against new herbivores (e.g., goats) if they contain highly toxic compounds (alkaloids, glycosides, coumarins), spinescent and urticating structures, or specific plant architecture (low plant size, high specific leaf area).</span> <span>If such traits are absent, the species may become extinct—unless they inhabit areas inaccessible to goats. On continental islands, some endemic species are expected to resist the introduction of herbivores, while others may be significantly affected. </span></p> <p><span><strong>Main</strong> <strong>conclusions</strong>:</span><span> Part of the endemic flora may have previously adapted to ancient herbivores on the islands. Even though the ancient connection with the mainland, these</span><span> traits may allow the plants to resist the presence of introduced herbivores. However, non-exapted species could be threatened by the introduction of non-native ungulates.</span></p>

opencc-zeroMar 2023View details →
zenodo36/100

AssureMOSS Vulnerability Statements Dataset (Steady)

<p>This dataset contains 259&nbsp;vulnerability statements found with <a href="https://sap.github.io/project-kb/prospector/">Prospector</a>, an open-source repository mining&nbsp;tool developed by SAP Security Research and the <a href="https://assuremoss.eu">AssureMOSS consortium</a>.</p> <p>The vulnerabilities covered by this dataset are a subset of a larger vulnerability dataset built by SAP Security Research while developing and operating <a href="https://eclipse.github.io/steady/">Eclipse Steady</a>.</p>

openapache2.0Jul 2023View details →
dryad36/100

Habitat-driven vulnerability to nest predation in Arctic-breeding plovers based on artificial nest experiment and real shorebird nest monitoring – Survival dataset

Open the record for dataset details and reuse information.

publicFeb 2020View details →
dryad36/100

VCF datasets and analysis scripts for: The combination of genomic offset and niche modelling provides insights into climate change-driven vulnerability

Open the record for dataset details and reuse information.

publicAug 2022View details →
dryad36/100

Dataset from: Exaptation and vulnerability to introduced mammal herbivores on Balearic endemic flora

Open the record for dataset details and reuse information.

publicMar 2023View 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