The lack of standardization across publicly available network intrusion detection datasets presents a significant challenge in developing generalizable machine learning-based models. These existing datasets often exhibit inconsistencies in feature sets and typically focus only on flow-level data, overlooking critical elements such as payload information and time-window-based contextual features. Such limitations make it difficult to detect…
IEEE Data Descriptions Template
Write in a clean editor, then format for IEEE Data Descriptions in one click — DocuGuru applies the official IEEE template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the IEEE Data Descriptions format
IEEE Data Descriptions is a peer-reviewed journal published by IEEE, covering Network Security and Intrusion Detection, Indoor and Outdoor Localization Technologies, Context-Aware Activity Recognition Systems. Over its lifetime it has published 154 papers, which have received 154 citations.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Data Descriptions, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Data Descriptions style. No sign-up. |
| Publishes research in | Network Security and Intrusion Detection Indoor and Outdoor Localization Technologies Context-Aware Activity Recognition Systems Energy Load and Power Forecasting Remote Sensing and LiDAR Applications |
| ISSN | 2995-4274 |
| Citation impact (2-yr) | 1 |
| h-index | 6 |
| i10-index | 2 |
| Top institutions publishing here | Shanghai Jiao Tong University |
| Journal website | ieeexplore.ieee.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in IEEE Data Descriptions per year
Citation impact of IEEE Data Descriptions by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in IEEE Data Descriptions
With a plethora of new connections, features, and services introduced, the 5th generation (5G) wireless technology represents a significant advancement of mobile communication networks and is expected to remain prominent for the next decade. The multitude of services and technologies that 5G incorporates has made modern communication networks very complex and sophisticated in nature. This…
<div> <p>This dataset contains 535 recordings of heart and lung sounds captured using a digital stethoscope from a clinical manikin, including both individual and mixed recordings of heart and lung sounds; 50 heart sounds, 50 lung sounds, and 145 mixed sounds. For each mixed sound, the corresponding source heart sound (145 recordings) and source lung…
Decentralized social media platforms such as Bluesky Social (Bluesky) have made it possible to publicly disclose some user behaviors with millisecond-level precision. Embracing Bluesky's principles of open-source and open-data, we present the first collection of the temporal dynamics of user-driven social interactions. BlueTempNet integrates multiple types of networks into a single multi-network, including user-to-user interactions…
This article introduces the voice pre-processing and quality assessment dataset (VPQAD), a scalable resource developed to validate various pre-processing techniques and improve voice signal quality in noisy environments. The dataset comprises voice recordings from 50 participants aged 18–40, captured in controlled real-life conditions using Audio Technica AT2020 and SHURE SM58 microphones. These high-quality recordings, made…