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6
datasets available to search
ShareScore release 0.9.0
Dataset results
6 results for “Device-Free”
Large-Scale Dataset for Radio Frequency based Device-Free Crowd Estimation
<p>This dataset serves to estimate the status, in particular the size, of a crowd given the impact on radio frequency communication links within a wireless sensor network. To quantify this relation, signal strengths across sub-GHz communication links are collected at the premises of the Tomorrowland music festival. The communication links are formed between the network nodes of wireless sensor networks deployed in three of the festival's stage environments. </p> <p>The table below lists the eighteen dataset files. They are collected at the music festival's 2017 and 2018 editions. There are three environments, labeled: ‘Freedom Stage 2017’, ‘Freedom Stage 2018’, and ‘Main Comfort 2018’. Each environment has both 433 MHz and 868 MHz data. The measurements at each environment were collected over a period of three festival days. The dataset files are formatted as Comma-Separated Values (CSV).</p> <pre><code class="language-markdown">| Dataset file | Reference file | Number of messages | |-------------------- |------------------------- |-------------------- | | free17_433_fri.csv | None | 393 852 | | free17_868_fri.csv | None | 472 202 | | free17_433_sat.csv | free17_transactions.csv | 996 033 | | free17_868_sat.csv | free17_transactions.csv | 1 023 059 | | free17_433_sun.csv | free17_transactions.csv | 1 007 066 | | free17_868_sun.csv | free17_transactions.csv | 1 036 456 | | free18_433_fri.csv | None | 765 024 | | free18_868_fri.csv | None | 757 657 | | free18_433_sat.csv | free18_transactions.csv | 711 438 | | free18_868_sat.csv | free18_transactions.csv | 714 390 | | free18_433_sun.csv | free18_transactions.csv | 648 329 | | free18_868_sun.csv | free18_transactions.csv | 656 290 | | main18_433_fri.csv | None | 791 462 | | main18_868_fri.csv | None | 908 407 | | main18_433_sat.csv | main18_counts.csv | 863 666 | | main18_868_sat.csv | main18_counts.csv | 884 682 | | main18_433_sun.csv | main18_counts.csv | 903 862 | | main18_868_sun.csv | main18_counts.csv | 894 496 |</code></pre> <p>In addition to the datasets and reference files, a software example is provided to illustrate the data use and visualise the initial findings and relation between crowd size and network signal strength impact.</p> <p>In order to use the software, please retain the following file structure: </p> <pre><code class="language-markdown">. ├── data ├── data_reference ├── graphs └── software</code></pre> <p>The peer-reviewed data descriptor for this dataset has now been published in MDPI Data - an open access journal aiming at enhancing data transparency and reusability, and can be accessed here: <a href="https://doi.org/10.3390/data5020052">https://doi.org/10.3390/data5020052</a>.<br> Please cite this when using the dataset.</p>
CSI-based Device-free Localization and Obfuscation
<p>This dataset has been used to study CSI-based device-free localization and test the performance of different obfuscation systems in the paper "AntiSense: Standard-compliant CSI obfuscation against unauthorized Wi-Fi sensing." It contains many CSI traces collected in an indoor environment in several conditions. All the data have been collected with commercial Wi-Fi systems using IEEE 802.11ac and 80-MHz-wide channels.</p>
1X4 radio channel data at 3.42 GHz for device-free human sensing
<p>Datasets for <em>CAMPAIGN-I and CAMPAIGN-II </em>from paper 'Beamsteering for Ad-Hoc Recognition of Multi-Human Targets Performing Distinct Activities'. The datasets belong to the <a href="http://ambientintelligence.aalto.fi/radiosense/">Radiosense</a> project.</p> <p>'.</p>
Device-Free Localization & Identification Using Sub-GHz Passive Radio Mapping
<p>This dataset contains signal strength measurements from radio frequency communication links formed between 15 transceivers which were installed in a ~42 m<sup>2</sup> office environment. These measurements were performed when 1 of 6 possible single stationary human individuals was present in the environment at 1 of 15 possible locations. Communication occurred on both the 433 MHz & 868 MHz frequency bands using the DASH7 Alliance Protocol (D7A).</p>
Device-free isolation of photoreceptor cells from patient iPSC-derived retinal organoids
GEO Series GSE266526. Homo sapiens. 19 samples. Type: Expression profiling by high throughput sequencing.
HybriSeq: Probe-based Device-free Single-cell RNA Profiling
GEO Series GSE292322. Mus musculus; Homo sapiens. 13 samples. Type: Expression profiling by high throughput sequencing; Other.
ScienceDex guides
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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.