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15 results for “low-cost device”
High-resolution images from a low-cost imaging device for hyphae in soil
<p>This dataset contains high-resolution images produced by a low-cost imaging device for hyphae in soil called <em>Hyphascope</em>. Using a digital microscope camera (DMC; 600× magnification),<em> </em>the device takes detailed images (0.83 × 0.62 mm imaged area) of a soil profile from evenly spaced camera positions within a user-defined volume. Repeated imaging of a soil profile with <em>Hyphascope</em> enables researchers to observe and quantify changes in the amount, distribution, and morphology of hyphae.</p> <p>Individual images were combined using the <em>Grid/Collection stitching</em> plugin of the <em>Fiji</em> distribution of <em>imageJ</em> (Preibisch et al. 2009). All images are supplied in the JPG format to limit their file size. For more details on the assembly and application of <em>Hyphascope</em>, see <a href="https://doi.org/10.17504/protocols.io.bp2l6xo3zlqe/v1">this protocol on protocols.io</a>. For information on the development, limitations, and expected outcomes of the protocol, see <a href="https://doi.org/10.1371/journal.pone.0318083">this article</a> published in PLOS ONE. </p> <p> </p> <div> <h2>Image set 1: 10 × 10 mm soil profile area at 20 - 30 mm soil depth</h2> <p>Imaged at 0.65 μm px<sup>-1</sup> (39200 dpi)* in a <em>Quercus serrata</em> grove on 2023/05/25 during a period of high hyphal density in the soil.</p> <h3>Individual images (18 rows × 14 images each)</h3> <ul> <li> <p><em>set1_foc00000.zip</em> (focus depth 0 mm)</p> </li> </ul> <h3>Combined images</h3> <ul> <li> <p><em>set1_foc00000_combined.jpg</em> (focus depth 0 mm)</p> </li> </ul> <h2>Image set 2: 5 × 5 mm soil profile area at 100 - 105 mm soil depth</h2> <p>Imaged at 0.52 μm px<sup>-1</sup> (49000 dpi) in a <em>Quercus serrata</em> grove on 2023/09/25.</p> <h3>Individual images (9 rows × 7 images each)</h3> <ul> <li> <p><em>set1_foc00000.zip</em> (focus depth 0 mm)<em><br></em></p> </li> <li> <p><em>set1_foc00025zip</em> (focus depth 0.025 mm)</p> </li> <li><em>set1_foc00050.zip</em> (focus depth 0.05 mm)</li> </ul> <h3>Combined images</h3> <ul> <li> <p><em>set1_foc00000_combined.jpg</em> (focus depth 0 mm)</p> </li> <li> <p><em>set1_foc00025_combined.jpg</em> (focus depth 0.025 mm)</p> </li> <li><em>set1_foc00050_combined.jpg</em> (focus depth 0.05 mm)</li> </ul> <h2>Image set 3: 5 × 5 mm soil profile area at soil surface level</h2> <p>Imaged at 0.52 μm px<sup>-1</sup> (49000 dpi) in a <em>Quercus serrata</em> grove on 2023/10/14 during a rain event.</p> <h3>Individual images (9 rows × 7 images each)</h3> <ul> <li> <p><em>set2_foc00000.zip</em> (focus depth 0 mm)<em><br></em></p> </li> <li> <p><em>set2_foc00025zip</em> (focus depth 0.025 mm)</p> </li> <li><em>set2_foc00050.zip</em> (focus depth 0.05 mm)</li> </ul> <h3>Combined images</h3> <ul> <li> <p><em>set2_foc00000_combined.jpg</em> (focus depth 0 mm)</p> </li> <li> <p><em>set2_foc00025_combined.jpg</em> (focus depth 0.025 mm)</p> </li> <li><em>set2_foc00050_combined.jpg</em> (focus depth 0.05 mm)</li> </ul> <p> </p> <p> </p> <p><em>*Units of imaging resolution: </em></p> <ol> <li><em>pixel width (μm px-1), i.e. the horizontal or vertical distance on the imaged surface covered by a single pixel; </em></li> <li><em>dots per inch (dpi), i.e. the number of pixels along a horizontal or vertical distance of 25.4 mm on the imaged surface.</em></li> </ol> </div>
Design files for a low-cost high-resolution imaging device for hyphae in soil
<p>This dataset contains the stereolithography (STL) files for the 3D-printed and cut parts of a low-cost high-resolution imaging device for hyphae in soil called <em>Hyphascope</em>. The design of <em>Hyphascope</em> was adopted from the 3D printer i3 MK3S+ by Prusa Research, with a digital microscope camera (DMC; 600× magnification) replacing the filament extruder. Repeated imaging of a soil profile with the imaging device enables researchers to observe and quantify changes in the amount, distribution, and morphology of hyphae.</p> <p>The parts were created and modified using <a href="https://www.freecad.org">FreeCAD</a> (version 0.20). STL files for the original parts are distributed under the Creative Commons Attribution 4.0 International License, STL files for the remixed parts under the GNU General Public License v2.0. For a detailed description on how to prepare and assemble the parts see <a href="https://doi.org/10.17504/protocols.io.bp2l6xo3zlqe/v1">this protocol on protocols.io</a>. For information on the development, limitations, and expected outcomes of the protocol, see <a href="https://doi.org/10.1371/journal.pone.0318083">this article</a> published in PLOS ONE.</p> <p> </p> <div> <h2>STL files of 3D-printed parts</h2> <h3>Original parts</h3> </div> <div> <div> <ul> <li><em>dmc-attachment.stl</em></li> <li> <div><em>dmc-attachment-gear.stl</em></div> </li> <li><em>dmc-attachment-gear-wider.stl</em> (optional part)<em><br></em></li> <li><em>dmc-holder-back.stl</em></li> <li><em>dmc-holder-front.stl</em></li> <li><em>f-axis-motor-gear.stl</em></li> <li><em>f-axis-spring-end.stl</em></li> <li><em>f-axis-tighteners.stl</em></li> <li><em>frame-foot-inserts.stl</em></li> <li> <div><em>frame-foot-left.stl</em></div> </li> <li> <div><em>frame-foot-right.stl</em></div> </li> <li> <div><em>frame-hat.stl</em></div> </li> <li> <div><em>frame-hat-insert.stl</em></div> </li> </ul> </div> <h3>Remixed parts originally designed by Prusa Research</h3> <p><em>The five parts below are <strong>remi</strong></em><strong><em>xed from <a href="https://www.printables.com/model/57217-i3-mk3s-printable-parts">i3 MK3S+ printable parts</a> </em></strong><em>and </em><strong><em>re-distributed under the <a href="http://www.gnu.org/licenses/old-licenses/gpl-2.0.html">GNU General Public License v2.0</a></em></strong><em>.</em></p> </div> <ul> <li> <div><em>dmc-carriage-back.stl</em> (Remix of <em>x-carriage-back.stl</em>; the design was largely modified to fit the DMC including changes to the shape and screw hole placement; the inserts for the linear bearings have the most resemblence to the original part.)</div> </li> <li><em>dmc-carriage-front.stl </em>(Remix of <em>x-carriage.stl</em>; the design was largely modified to fit the DMC including changes to the shape and screw hole placement; the inserts for the linear bearings have the most resemblence to the original part.)</li> <li><em>x-end-idler-mod.stl</em> (Remix of <em>x-end-idler.stl</em>; the height was increased by 20 mm.)</li> <li><em>x-end-motor-mod.stl</em> (Remix of <em>x-end-motor.stl</em>; the height was increased by 20 mm and the counterbores of the three motor screws were moved to the opposite side.)</li> <li><em>z-axis-top-mod.stl </em>(Remix of <em>z-axis-top.stl</em>; 14.8 mm-long spacers were added.)</li> </ul> <h3>Parts designed by Prusa Research</h3> <ul> <li> <div><em>z-axis-bottom.stl</em> (available from <a href="https://www.printables.com/model/57217-i3-mk3s-printable-parts" target="_blank" rel="noopener">Printables</a>)</div> </li> <li> <div><em>z-screw-cover.stl</em> (available from <a href="https://www.printables.com/model/57217-i3-mk3s-printable-parts" target="_blank" rel="noopener">Printables</a>)</div> </li> </ul> <p> </p> <div> <h2>STL files of cut parts</h2> <h3>Original parts</h3> </div> <ul> <li><em>box-bottom.stl</em></li> <li><em>box-hook.stl</em></li> <li> <div><em>box-lid.stl</em></div> </li> <li> <div><em>box-lid-frame.stl</em></div> </li> <li><em>box-lid-valve-base.stl</em></li> <li><em>box-wall.stl</em></li> <li><em>box-wall-cables.stl</em></li> <li> <div><em>frame.stl</em></div> </li> </ul> <p> </p>
AirHeritage Datalake: Multi-site, Multi-season, Multi Unit dataset including Fixed and Mobile Citizen science data from networked Air Quality Low-Cost Multi-Sensors devices and reference stations
<p>This datalake comprises several datasets from <strong>37 networked low cost air quality multisensors</strong> (<strong>30</strong> <strong>mobile</strong> ENEA MONICA(tm) + <strong>7</strong> <strong>fixed</strong>) along with <strong>3</strong> (fixed) + <strong>1</strong> (mobile) <strong>reference stations</strong> operated by Campania Regional Envronmental Protection Agency. The datalake is organized in 3 main directories respectively related to fixed nodes, mobile nodes and nearby reference stations including a mobile laboratory used for colocation campaigns; each subdirectory include its own metadata description file.</p> <p>Data, curated by Energy and Data Science Laboratory of ENEA, include multi-weeks colocation periods when low cost devices have been colocated with reference stations as well as operational periods during which sensors are deployed for fixed or mobile monitoring campaigns. Data have been recorded during 2021 and 2022 in a<strong> pervasive, multi-site, multi-seasonal deployment</strong> in Portici, a densely populated small area city (4km2, 55k + inhabitants) located 7km south of Naples, Italy.</p> <p>The datalake consists in actual sensors and reference intrumentations timeseries along with metadata description files with deployment dates and location data. The dataset files include high sampling frequency raw sensor data of quality-controlled sensor network along with co-located reference stations data sets. Sensor data include electrochemical sensors data (intended target pollutants: NO2, O3, CO), Optical sensor data (PM2.5, PM10, PM1) readings along with meteorological parameters. .</p> <p>Further description of sensors and reference instruments are reported in the accompanying paper (see citation request).</p> <p>The dataset can be used for </p> <ul> <li> <strong>advanced (remote/universal/in field) data driven calibration strategies</strong> test or development including <strong>machine learning </strong>models</li> <li><strong>mobile opportunistic data fusion</strong> methods development</li> <li><strong>geomatics and data assimilation</strong> models studies</li> </ul> <p>as well as low cost sensor characterization performance studies. </p>
Stationary comparison data and analysis between a new low-cost meteorological device and the Technical University of Dresden Chair of Meteorology's backpack meteorological device
<p>This dataset provides stationary comparison data which was used to demontrate the suitability of a new low-cost and user-friendly meteorological device for the purpose of thermal comfort mapping. The new device was compared to an established high-end backpack-mounted device from the Dresden University of Technology (TUD) Chair of Meteorology, Germany. The main sensors for comparison were: the low-cost SHT 85 Sensirion sensor vs. the high-cost WXT520 for air temperature and relative humdity and the low-cost SR2AD pyranometer vs. the high-cost SKS 1110 pyranometer.</p>
Stationary comparison data and analysis between a new low-cost meteorological device and the MaRTy device
<p>This dataset provides stationary comparison data which was used to demontrate the suitability of a new low-cost and user-friendly meteorological device for the purpose of thermal comfort mapping. The new device was compared to the established high-end MaRTy device developed by Arizona State University's Sensable Heatscapes and Digital Environments (SHaDE) lab. The main sensors for comparison were: the low-cost SHT 85 Sensirion sensor vs. the high-cost HC2S3 Rotronic HygroClip2 for air temperature and humidity. However, the main purpose of the analysis was a comparison of the ability to predict Mean Radiant Temperature (MRT) as an essential component of thermal comfort. MRT for the low-cost device was calculated using the RayMan Pro software, while MRT for the MaRTy device is an output calculated directly by the device. </p>
Mobile comparison data and analysis between a new low-cost meteorological device and the Technical University of Dresden Chair of Meteorology's backpack meteorological device
<p>This dataset provides mobile comparison data from Tharandt and Dresden, Germany, which was used to demontrate the suitability of a new low-cost and user-friendly meteorological device for the purpose of thermal comfort mapping. The new device was compared to an established high-end backpack-mounted device from the Dresden University of Technology (TUD) Chair of Meteorology, Germany. The main sensors for comparison were: the low-cost SHT 85 Sensirion sensor vs. the high-cost WXT520 for air temperature and relative humdity and the low-cost SR2AD pyranometer vs. the high-cost SKS 1110 pyranometer. The ability of each device to predict the Universal Thermal Climate Index (UTCI), calculated using the software RayMan Pro, was also compared.</p>
A low-cost wireless bite force measurement device - Calibration data
<p>Raw data for a low-cost wireless bite force measurement device calibration. The folder contains the data recorded during 3 different sessions for both the 1D load cell "1D-TAS606" sensor and two accurate 6 axis force transducer "3D-FT Sensors"</p>
FIGURES 1–4 in A simple, low-cost device for collecting mushroom-dwelling Scaphidiinae (Coleoptera, Staphylinidae)
FIGURES 1–4. Method proposed here for collecting mushroom-dwelling beetles, especially the Scaphidiinae. 1. Examining the gills with a mirror. 2. Encapsuling the mushroom. 3. Waiting for the beetles to stop moving. 4. Fainted beetles before being transferred to Falcon tubes.
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>
Robust Evaluation to Measure Improvements in Nonadherence From Low-cost Devices
ClinicalTrials.gov study NCT02015806. IPD Sharing: Not stated. Countries: 1. Publications: 2.
X-ray-free Protocol for Pectus Deformities Based on Magnetic Resonance 1 Imaging and a Low-cost Portable Three-dimensional Scanning Device
ClinicalTrials.gov study NCT04885387. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of a Low-cost CPAP Device on Hospitalized COVID-19 Patients
ClinicalTrials.gov study NCT04681859. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluating a Low-Cost Therapeutic Device in Managing Head and Neck Cancer Patients With Radiation-Related Trismus
ClinicalTrials.gov study NCT05671861. IPD Sharing: NO. Countries: 1. Publications: 0.
NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration
<h1>README<br><br></h1> <h2><strong>Link to the Publication</strong></h2> <p>🔗 <a href="https://ieeexplore.ieee.org/document/10737340" target="_blank" rel="noopener"><strong>Read the Paper</strong></a><br><br></p> <h2>Details related to access to the data </h2> <h3>Data user agreement</h3> <p>The terms and conditions for using this dataset are specified in the [LICENCE](LICENCE) file included in this repository. Please review these terms carefully before accessing or using the data.</p> <h3>Contact person</h3> <p>For additional information about the dataset, please contact:<br>- <strong>Name</strong>: Angela Lombardi<br>- <strong>Affiliation</strong>: Department of Electrical and Information Engineering, Politecnico di Bari<br>- <strong>Email</strong>: angela.lombardi@poliba.it</p> <h3> Practical information to access the data</h3> <p>The dataset can be accessed through our dedicated web platform. To request access:</p> <p>1. Visit the main dataset page at: <a href="https://sisinflab.poliba.it/neurosense-dataset-request/">https://sisinflab.poliba.it/neurosense-dataset-request/</a><br>2. Follow the instructions on the website to submit your access request<br>3. Upon approval, you will receive further instructions for downloading the data</p> <p>Please ensure you have read and agreed to the terms in the data user agreement before requesting access.</p> <h2>Overview</h2> <h3>EEG Emotion Recognition - Muse Headset<br>2023-2024</h3> <p>The experiment consists in 40 sessions per user. During each session, users are asked to watch a<br>music video with the aim to understand their emotions. <br>Recordings are performed with a Muse EEG headset at a 256 Hz sampling rate. <br>Channels are recorded as follows:<br>- Channel 0: AF7<br>- Channel 1: TP9<br>- Channel 2: TP10<br>- Channel 3: AF8</p> <p>The chosen songs have various Last.fm tags in order to create different feelings. The title of every track<br>can be found in the "TaskName" field of sub-ID***_ses-S***_task-Default_run-001_eeg.json, while the author,<br>the Last.fm tag and additional information in "TaskDescription".</p> <h2>Methods</h2> <h3>Subjects</h3> <p>The subject pool is made of 30 college students, aged between 18 and 35. 16 of them are males, 14 females.</p> <h3>Apparatus</h3> <p>The experiment was performed using the same procedures as those to create<br>[Deap Dataset](https://www.eecs.qmul.ac.uk/mmv/datasets/deap/), which is a dataset to recognize emotions via a Brain<br>Computer Interface (BCI). </p> <h3><br>Task organization</h3> <p>Firstly, music videos were selected. Once 40 songs were picked, the protocol was chosen and the self-assessment<br>questionnaire was created.</p> <h3>Task details</h3> <p>In order to evaluate the stimulus, Russell's VAD (Valence-Arousal-Dominance) scale was used. <br>In this scale, valenza-arousal space can be divided in four quadrants:<br>- Low Arousal/Low Valence (LALV);<br>- Low Arousal/High Valence (LAHV);<br>- High Arousal/Low Valence (HALV);<br>- High Arousal/High Valence (HAHV).</p> <h3>Experimental location</h3> <p>The experiment was performed in a laboratory located at DEI Department of<br>[Politecnico di Bari](https://www.poliba.it/).</p> <h3>Missing data</h3> <p><br>Data recorded during session S019 - Session 2, ID021 - Session 23, user was corrupted, therefore is missing. <br>Sessions S033 and S038 of ID015 user show a calculated effective sampling rate lower than 256 Hz:<br>- ID015_ses-S033 has 226.1320 Hz<br>- ID015_ses-S038 has 216.9549 Hz</p>
Shadow mask assisted 193 nm Excimer laser processing of commercial Cyclo-Olefin-Copolymer (COC) substrates for low-cost micro-fluidic biosensing devices.
<p>An Abstract submitted to The 24th International Symposium on Laser Precision Microfabrication (LPM2023)</p>
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)
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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.