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.

2

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

2 results for “wireless link quality”

Learn how ShareScore rates datasets ↗
zenodo40/100

Wireless Link Quality Estimation on FlockLab - and Beyond

<p>This repository contains wireless link quality estimation data for the FlockLab testbed [1,2]. The rationale and description of this dataset is described in a&nbsp;the following abstract&nbsp;(pdf is&nbsp;included in this&nbsp;repository -- see below).</p> <blockquote> <p><strong>Dataset: Wireless Link Quality Estimationon FlockLab &ndash; and Beyond</strong><br> Romain Jacob, Reto Da Forno, Roman Tr&uuml;b, Andreas Biri, Lothar Thiele<br> DATA &#39;19 Proceedings of the 2nd Workshop on Data Acquisition To Analysis, 2019</p> </blockquote> <p><strong>Data collection scenario</strong></p> <p>The data collection scenario is simple. Each FlockLab node is assigned one dedicated time slot.&nbsp;In this slot, a node sends 100 packets, called strobes. All strobes have the same payload size and use a given radio frequency channel and transmit power. All other nodes listen for the strobes and log packet reception events (i.e., success or failed).&nbsp;</p> <p>The test scenario&nbsp;is ran every two hours on two different platforms: the TelosB [3] and DPP-cc430 [4] platforms. We used all&nbsp;nodes currently available at test time (between 27 and 29).</p> <p><strong>Final dataset status</strong></p> <ul> <li>3 months of data with about 12&nbsp;tests per day per platform</li> <li>5 month&nbsp;of data with about 4&nbsp;tests per day per platform</li> </ul> <p><strong>Data collection firmware</strong></p> <p>We are happy to share the link quality data we collected for the FlockLab testbed, but we also wanted to make it easier for others to collect similar datasets for other wireless networks. To achieve this, we include in this repository the data collection firmware we design. The entire data collection scheduling and control is done&nbsp;entirely in software, in order to make the firmware usable in a large variety on wireless networks. We implemented our data collection software using Baloo [5], a flexible network stack design framework based on Synchronous Transmission. Baloo efficiently handles network time synchronization and offers a flexible interface to schedule communication rounds. The firmware source code is available in the Baloo repository [6].</p> <p>A set of experiment parameters can be patched directly in the firmware, which let the user tune the data collection without having to recompile the source code. This improves usability and facilitates automation. An example patching script is included in this repository. Currently, the following parameters can be patched:</p> <ul> <li>rf_channel,</li> <li>payload,</li> <li>host_id, and</li> <li>rand_seed</li> </ul> <p><em>Current supported platforms</em></p> <ul> <li>TelosB [3]</li> <li>DPP-cc430 [4]</li> </ul> <p><strong>Repository versions</strong></p> <ul> <li><strong>v1.4.1</strong><br> Updated visualizations in the notebook</li> <li><strong>v1.4.0</strong><br> Addition of data from November 2019 to March 2020.<br> Data collection is discontinued (the new FlockLab testbed is being setup).</li> <li><strong>v1.3.1</strong><br> Update abstract and notebook</li> <li><strong>v1.3.0</strong><br> Addition of October 2019 data.<br> The frequency of tests has been reduced to 4 per day, executing at (approximately) 1:00, 7:00, 13:00, and 19:00.<br> From October 28 onward, time shifted by one hour (2:00, 8:00, 14:00, 20:00).</li> <li><strong>v1.2.0</strong><br> Addition of September 2019 data.<br> Many missing tests on the 12, 13, 19, and 20 of September (due to&nbsp;construction works in the building).</li> <li><strong>v1.1.4</strong><br> Update of the abstract to have hyperlinks to the plots. Corrected typos.</li> </ul> <ul> <li><strong>v1.1.0</strong><br> Initial version.<br> Add the data collected in August 2019.<br> Data collected was disturbed at the beginning of the month and resumed normally on the August 13. Data from previous days are incomplete.</li> <li><strong>v1.0.0</strong><br> Initial version.<br> Contain collected data in&nbsp;July 2019, from the 10th&nbsp;to 30th of July.<br> No data were collected on the 31st&nbsp;of July (technical issue).</li> </ul> <p><strong>List of files</strong></p> <ul> <li><strong>yyyy-mm_raw_platform.zip</strong><br> Archive containing all FlockLab test result files (one .zip file per month and per platform).</li> <li><strong>yyyy-mm_preprocessed_all.zip</strong><br> Archive containing preprocessed csv&nbsp;files, one per month and per platform.</li> <li><strong>firmware.zip</strong><br> Archive containing the firmware for all supported platform.</li> <li><strong>firmware_patch.sh</strong><br> Example bash script illustrating the firmware patching.</li> <li><strong>parse_flocklab_results.ipynb </strong>[<a href="https://nbviewer.jupyter.org/urls/zenodo.org/record/3731498/files/parse_flocklab_results.ipynb">open in nbviewer</a>]<br> Jupyter notebook used to create the pre-process data files. Also includes some example of data visualization.</li> <li><strong>parse_flocklab_results.html</strong><br> HTML rendering of the notebook (static).</li> <li><strong>plots.zip</strong><br> Archive containing high resolution visualization of the dataset, generated by the&nbsp;<strong>parse_flocklab_results </strong>notebook, and presented in the <strong>abstract</strong>.</li> <li><strong>abstract.pdf</strong><br> A 3 page abstract presenting the dataset.</li> <li><strong>CRediT.pdf</strong><br> The list of contributions from the authors.</li> </ul> <p><strong>References</strong></p> <p>[1] R. Lim, F. Ferrari, M. Zimmerling, C. Walser, P. Sommer, and J. Beutel, &ldquo;FlockLab: A Testbed for Distributed, Synchronized Tracing and Profiling of Wireless Embedded Systems,&rdquo; in <em>Proceedings of the 12th International Conference on Information Processing in Sensor Networks</em>, New York, NY, USA, 2013, pp. 153&ndash;166.</p> <p>[2] &ldquo;FlockLab,&rdquo; <em>GitLab</em>. [Online]. Available: <a href="https://gitlab.ethz.ch/tec/public/flocklab/wikis/home">https://gitlab.ethz.ch/tec/public/flocklab/wikis/home</a>. [Accessed: 24-Jul-2019].</p> <p>[3] Advanticsys, &ldquo;MTM-CM5000-MSP 802.15.4 TelosB mote Module.&rdquo; [Online]. Available: <a href="https://www.advanticsys.com/shop/mtmcm5000msp-p-14.html">https://www.advanticsys.com/shop/mtmcm5000msp-p-14.html</a>. [Accessed: 21-Sep-2018].</p> <p>[4] Texas Instruments, &ldquo;CC430F6137 16-Bit Ultra-Low-Power MCU.&rdquo; [Online]. Available: <a href="http://www.ti.com/product/CC430F6137">http://www.ti.com/product/CC430F6137</a>. [Accessed: 21-Sep-2018].</p> <p>[5] R. Jacob, J. B&auml;chli, R. Da Forno, and L. Thiele, &ldquo;Synchronous Transmissions Made Easy: Design Your Network Stack with Baloo,&rdquo; in <em>Proceedings of the 2019 International Conference on Embedded Wireless Systems and Networks</em>, 2019.</p> <p>[6] &ldquo;Baloo,&rdquo; Dec-2018. [Online]. Available: <a href="http://www.romainjacob.net/research/baloo/">http://www.romainjacob.net/research/baloo/</a>.</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2019View details →
zenodo28/100

Online machine learning algorithms to predict link quality in community wireless mesh networks

<p>FunkFeuer raw topology data from 15-01-2016 to 28-01-2016 retrieved on 17-02-2016 from http://opendata.confine-project.eu/dataset/funkfeuer-topology-data. This dataset was employed in &quot;Miguel L. Bote-Lorenzo, Eduardo G&oacute;mez-S&aacute;nchez, Carlos Mediavilla-Pastor, Juan I. Asensio-P&eacute;rez, Online machine learning algorithms to predict link quality in community wireless mesh networks, Computer Networks, Volume 132, 2018, Pages 68-80, https://doi.org/10.1016/j.comnet.2018.01.005.&quot;</p>

openodc-byApr 2019View 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