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817 results for “use of devices”
Lecture of physiological activity with EEG techniques in two groups of students using a BCI device
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Data from: Bubbling water-treating DBD plasma device optimization using experimental and computational methods
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Data from: physiological and emotional assessment of college students using wearable and mobile devices during the 2020 COVID-19 lockdown: an intensive, longitudinal dataset
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The DSI dataset for Wi-Fi fingerprinting using mobile devices
<p>The provided data were collected at the first floor of building 11 of the University of Minho, Portugal, Azurém Campus (Department of Information Systems – DSI), between 2 and 3 of May 2016.</p> <p>Data was collected by a single person, using a Nvidia Shield tablet running Android 6.0.</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>
Data from: Influence of device accuracy and choice of algorithm for species distribution modelling of seabirds: a case study using black-browed albatrosses
Species distribution models (SDM) based on tracking data from different devices are used increasingly to explain and predict seabird distributions. However, different tracking methods provide different data resolutions, ranging from < 10m to >100km. To better understand the implications of this variation, we modeled the potential distribution of black-browed albatrosses Thalassarche melanophris from South Georgia that were simultaneously equipped with a Platform Terminal Transmitter (PTT) (high resolution) and a Global Location Sensor (GLS) logger (coarse resolution), and measured the overlap of the respective potential distribution for a total of nine different SDM algorithms. We found slightly better model fits for the PTT than for GLS data (AUC values 0.958±0.048 vs. 0.95±0.05) across all algorithms. The overlaps of the predicted distributions were higher between device types for the same algorithm, than among algorithms for either device type. Uncertainty arising from coarse-resolution location data is therefore lower than that associated with the modeling technique. Consequently, the choice of an appropriate algorithm appears to be more important than device type when applying SDMs to seabird tracking data. Despite their low accuracy, GLS data appear to be effective for analyzing the habitat preferences and distribution patterns of pelagic species.
Using mobile device built-in microphones to monitor bats: A new opportunity for large-scale participatory science initiatives
<p>Here we present audio data collected in the study titled "Using mobile device built-in microphones to monitor bats: a new opportunity for large-scale participatory science initiatives", now accepted for publication in Biodiversity and Conservation (DOI: 10.1007/s10531-024-02818-9).</p> <p>Citizen science has become a crucial tool in biodiversity monitoring, often facilitated by the diffusion of mobile devices, such as smartphones and tablets. High costs of professional equipment often limit large-scale monitoring, particularly in bat monitoring programmes based on acoustic surveys. Here we present the potential of using mobile devices for bat monitoring, allowing for large-scale, volunteer-based monitoring programmes. We initially compared mobile devices' performance with a professional bat detector for recording low-frequency bat calls. We then conducted a citizen science pilot study to test the method's feasibility in a real-world setting, recording echolocation and social calls of nine European bat species. We found high similarity in spectrogram quality between calls recorded by mobile devices and professional bat detectors. However, differences in sound quality and effectiveness among mobile device brands and models were found. The citizen science pilot study tested 35 mobile device models, all of which effectively recorded bats. This study suggests that mobile devices could be an accessible, no-cost tool for large-scale bat monitoring. Incorporating mobile devices into existing monitoring networks or creating new dedicated programmes could not only enhance data collection, but also boost public knowledge and awareness about bats, ultimately promoting informed decision-making and better conservation strategies.</p> <p>To facilitate a comprehensive evaluation of the acoustic data quality achievable through the described method, we are providing access to all bat recordings collected via mobile devices during the study. These have been compiled into the compressed file named "mobile_device_recs.zip".</p> <p>For those seeking a quicker review, we recommend downloading the "Appendix_S6_recs.zip" file, which contains selected examples of echolocation or social calls from the nine bat species recorded during our research. Spectrograms of these example recordings are displayed in Appendix S6 of the published study.</p>
MFMET webinar - 06. Measuring the dimensions of microfluidic devices using optical methods
<p>This video presents optical methods for measurements of dimensions (for example width, height, and length) of microfluidic devices and microchannels. Among the presented methods are optical microscopy and confocal laser scanning microscopy.</p> <p> </p> <p>Furter reading can be found:</p> <p>https://mfmet.eu/publications</p> <p>Yin et al. (2024). MFMET A3.3.4 Report on the geometry and dimension of microfluidic component ports. <a href="https://doi.org/10.5281/zenodo.10848484">Link</a></p> <p>Büker et al. (2024). MFMET Deliverable 8: Measurement protocols for dimensional characterisation of microfluidic components. <a href="https://doi.org/10.5281/zenodo.11098276">Link</a></p> <p> </p> <p>The project (20NRM02 MFMET) have received funding from the EMPIR programme co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme.</p>
Real-time oceanic PWV sensing using BeiDou-3 PPP-B2b and low-cost GNSS devices
<div>This dataset consists of two parts, GNSSDATA and RESULT, which were utilized in the manuscript: "Real-time oceanic PWV sensing using BeiDou-3 PPP-B2b and low-cost GNSS devices."</div> <div><strong>GNSSDATA:</strong> This dataset contains shipborne BeiDou/GNSS data spanning four days, from 00:00 on September 21 to 00:00 on September 25, 2023. The data was collected using a low-cost GNSS receiver, the Septentrio mosaic-X5, and is stored in Septentrio Binary Format (SBF). The raw BeiDou/GNSS observations, PPP-B2b corrections (orbits/clocks/code bias), and broadcast ephemeris can be decoded from the SBF format using Septentrio RxTools.</div> <div><strong>RESULT:</strong> This dataset includes the PPP-B2b-derived zenith tropospheric delay (ZTD) solutions obtained from the above GNSS data, based on the five schemes designed in the manuscript.</div>
Competing Technologies: Determining the Geographical Origin of Strawberries (Fragaria × ananassa) using laboratory based Near-Infrared Spectroscopy compared to a simple portable device
<p><span>The application and development of fast and simple screening methods for the authentication of foods has increased continuously in recent years. A widely used analytical technique is Fourier transform near-infrared spectroscopy (FT-NIR). Despite the simple application of FT-NIR analysis, the analyses are usually carried out on benchtop devices in the laboratory. However small, inexpensive and mobile NIR devices could be used on-site. Despite the simple use of FT-NIR analysis, the examinations are usually carried out on a stationary benchtop device in a laboratory. However, in order to be able to perform the application directly on site, the application of small, cost-effective and mobile NIR devices for food analysis is crucial. In this study, both, a benchtop NIR instrument and a handheld NIR device with a lower resolution and analyzed wavenumber range were applied for the differentiation of strawberries from different geographical origins. Distinguishing German and non-German strawberries using linear discriminant analysis (LDA) yielded an accuracy of 91.9 % and 84.0 % using the benchtop and the handheld devices, respec-tively. Relevant variables could be assigned to lipids, carbohydrates and proteins. Overall, our study demonstrated for the first time that analyzing the geographical origin of strawberries using NIR spectroscopy is also possible by means of a handheld device.</span></p>
Using Deep Learning to Design High Aspect Ratio Fusion Devices (Dataset)
<p>This dataset was developed for the work entitled Using Deep Learning to Design High Aspect Ratio Fusion Devices. A small explanation is hereby given:</p> <p>The design of fusion devices is typically based on computationally expensive simulations. This can be alleviated using high aspect ratio models that employ a reduced number of free parameters, especially in the case of stellarator optimization where non-axisymmetric magnetic fields with a large parameter space are optimized to satisfy certain performance criteria. However, optimization is still required to find configurations with properties such as low elongation, high rotational transform, finite plasma beta, and good fast particle confinement. In this work, we train a machine learning model to construct configurations with favorable confinement properties by finding a solution to the inverse design problem: obtaining a set of model input parameters for given desired properties. Since the solution of the inverse problem is non-unique, a probabilistic approach, based on mixture density networks, is used. It is shown that optimized configurations can be generated reliably using this method.</p>
Probing DNA - transcription factor interactions using single-molecule fluorescence detection in nanofluidic devices
<p>Readme.txt, 16.07.2021<br> Fontana et al.<br> “Probing DNA - transcription factor interactions using single-molecule fluorescence detection in nanofluidic devices”</p> <p>pre-print: https://doi.org/10.1101/2021.05.12.443786 (BioRxiv)</p> <p>The repository contains the raw data ("*.tif") files, data from subsequent analysis steps performed in Matlab ("*.mat") and obtained histograms.</p> <p>For further information, please contact<br> dr. Johannes Hohlbein @ Wageningen University & Research<br> (johannes.hohlbein@wur.nl)</p>
Data for: Using a digital twin of an electrical stimulation device to monitor and control the electrical stimulation of cells in vitro
<p>Replication data for "Using a digital twin of an electrical stimulation device to monitor and control the electrical stimulation of cells in vitro".</p>
City scale particulate matter monitoring using LoRaWAN based air quality IoT devices
<p>Air Quality (AQ) is a very topical issue for many cities and has a direct impact on citizen health. The AQ of a large UK city is being investigated using low-cost Particulate Matter (PM) sensors, and the results obtained by these sensors have been compared with government operated AQ stations. In the first pilot deployment six AQ Internet of Things (IoT) devices have been designed and built, each with four different low-cost PM sensors, and they have been deployed at two locations within the city. These devices are equipped with LoRaWAN wireless network transceivers to test city scale Low-Power Wide Area Network (LPWAN) coverage. The study concludes that i) the physical device developed can operate at a city scale ii) some low-cost PM sensors are viable for monitoring AQ and for detecting PM trends iii) LoRaWAN is suitable for city scale sensor coverage where connectivity is an issue. Based on the findings from this first pilot project a larger LoRaWAN enabled AQ sensor network is being deployed across the city of Southampton in the UK.</p>
Data for publication - Design, simulation and experimental analysis of a monolithic bending section for enhanced maneuverability of single use laparoscopic devices
<p>The dataset contains all processed data and raw data which are used for the publication "<em>Design, simulation and experimental analysis of a monolithic bending section for enhanced maneuverability of single use laparoscopic devices</em>"</p>
Aggressive interactions among white-tailed deer and their impact on the use of 4-poster devices for host-targeted tick control
<p>Spreadsheet of data transcribed from images of deer and non-target wildlife with coded behaviors used in the manuscript "Aggressive interactions among white-tailed deer and their impact on the use of 4-poster devices for host-targeted tick control". Data involves cameras placed at three sites in Maryland 2016-2017.</p>
Supplementary information of "Chemical and opto-electronic properties of a new indacenodithiophene-carbazole derivative and its use on OLED devices"
<p>This repository contains raw data of experimental measurements for those figures where a X-Y plots are presented and high quality pictures for the article titled "Chemical and opto-electronic properties of a new indacenodithiophene-carbazole derivative and its use on OLED devices".</p> <p> </p>
Call for a critical review of widespread use of animal tracking devices
<p><span>Animal tracking has undergone a technological revolution providing insight into biological details that were impossible to address until now. However, the increasing ease of access to tracking devices (biologgers) may lead to trivializing this technology. Consequently, many projects may not extract as much scientific knowledge as possible and neglect the ethical duties towards the tagged animals. Here we demonstrate this process of trivialization empirically on a local and global scale and propose some guidelines to avoid it.</span></p>
Additional data - Using a micro-device with a deformable ceiling to probe stiffness heterogeneities within 3D cell aggregates
<p>Additional data for the article <em>"Using a micro-device with a deformable ceiling to probe stiffness heterogeneities within 3D cell aggregates" </em>by Jain, Belkadi et al.</p> <p><strong>additionaldata_jain-belkadi_2023/data_fig_3/data_fig_3_bc:</strong> One .tif file per spheroid shown in Fig 3b,c. the air cavity pressure levels are the following (respectively for each frame): 0 (mbar), -50, -100, -150, -200, -250, -300, -450, -500, 0</p> <p><strong>additionaldata_jain-belkadi_2023/data_fig_3/data_fig_3_def: </strong>One .tif file for the cyclic compression of the spheroids.</p> <p><strong>additionaldata_jain-belkadi_2023/data_fig_4_d: </strong>One folder per spheroid. See readme.txt</p>
Using Consumer-grade Wearable Devices for Fall Risk Evaluation and Alerts
ClinicalTrials.gov study NCT06508892. IPD Sharing: NO. Countries: 1. Publications: 2.
ScienceDex guides
Understand access before you commit
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.