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Dataset results
11 results for “static measurement”
The S&M-HSTPM2d5 dataset: High Spatial-Temporal Resolution PM 2.5 Measures in Multiple Cities Sensed by Static & Mobile Devices
<p>This S&M-HSTPM2d5 dataset contains the high spatial and temporal resolution of the particulates (PM2.5) measures with the corresponding timestamp and GPS location of mobile and static devices in the three Chinese cities: Foshan, Cangzhou, and Tianjin. Different numbers of static and mobile devices were set up in each city. The sampling rate was set up as one minute in Cangzhou, and three seconds in Foshan and Tianjin. For the specific detail of the setup, please refer to the Device_Setup_Description.txt file in this repository and the data descriptor paper.</p> <p>After the data collection process, the data cleaning process was performed to remove and adjust the abnormal and drifting data. The script of the data cleaning algorithm is provided in this repository. The data cleaning algorithm only adjusts or removes individual data points. The removal of the entire device's data was done after the data cleaning algorithm with empirical judgment and graphic visualization. For specific detail of the data cleaning process, please refer to the script (Data_cleaning_algorithm.ipynb) in this repository and the data descriptor paper.</p> <p>The dataset in this repository is the processed version. The raw dataset and removed devices are not included in this repository.</p> <p>The data is stored as a CSV file. Each CSV file which is named by the device ID represents the data that was collected by the corresponding device. Each CSV file has three types of data: timestamp as the China Standard Time (GMT+8), geographic location as latitude and longitude, and PM2.5 concentration with the unit of microgram per cubic meter. The CSV files are stored in either Static or Mobile folder which represents the devices' type. The Static and Mobile folder are stored in the corresponding city's folder.</p> <p>To access the dataset, any programming language that can access CSV files is appropriate. Users can also open the CSV file directly. The get_dataset.ipynb file in this repository also provides an option of accessing the dataset. To successfully execute ipynb file, Jupyter Notebook with Python 3.0 is required. The following python library is also required:</p> <p>get_dataset.ipynb:<br> 1. os library<br> 2. pandas library</p> <p>Data_cleaning_algorithm.ipynb:<br> 1. os library<br> 2. pandas library<br> 3. datetime library<br> 4. math library</p> <p>The instruction of installing the libraries above can be found online. After installing the Jupyter Notebook with Python 3.0 and the required libraries, users can try to open the ipynb file with Jupyter Notebook and follow the instruction inside the file. </p> <p>For questions or suggestions please e-mail Xinlei Chen <xinlei.chen@sv.cmu.edu></p>
N2O raw data from static greenhouse gas chamber measurements
<p>This dataset contains N<sub>2</sub>O concentration measurements of a 2 years measurement campaign for greenhouse gas fluxes from agricultural soils.</p> <p>The format of the data is ready to be fed into the gasfluxes R package on CRAN to calculate fluxes for each individual chamber measurement (identical IDs are referred to one single measurement, the ID contains the measurement day, treatment and replicate).</p> <p>The data is originally published in Krauss et al. 2017 and further used for improvements of the flux calculation procedure in Hüppi et a. 2018 (see references)</p>
Dataset - Learning to Measure Static Friction Coefficient in Cloth Contact
<p>Dataset for: Learning to Measure the Static Friction Coefficient in Cloth Contact</p>
OCS fluxes from a coastal Antarctic tundra and soils measured by in situ static chamber method and lab-based jar incubations
<p>The Antarctic tundra, dominated by non-vascular photoautotrophs (NVP) like mosses and lichens, serves as a vital habitat for sea animals, which contribute organic matter and oceanic sulfur to the land, potentially influencing sulfur transformations. Here, we measured OCS fluxes from the Antarctic tundra and linked them to soil biochemical properties.</p> <p>This dataset therefore is collected from these experiments. It includes the figure source data associated with a peer-reviewed publication that is currently under review. Once the manuscript is published, the URL and DOI number will be provided here and this description will be updated accordingly.</p> <p>Results revealed that the NVP-dominated upland tundra acted as an OCS sink (-1.0 ± 0.6 pmol m<sup>-2</sup> s<sup>-1</sup>), driven by NVP and OCS-metabolizing enzymes from soil microbes (e.g., <em>Acidobacteria</em>, <em>Verrucomicrobia</em>, and <em>Chloroflexi</em>). In contrast, tundra within sea animal colonies exhibited OCS emissions (1.4 ± 0.4 pmol m<sup>-2</sup> s<sup>-1</sup>), resulting from the introduction of organosulfur compounds that stimulated concurrent OCS production. Furthermore, sea animal colonization likely influenced OCS-metabolizing microbial communities and further promoted OCS production. Overall, this study highlighted the role of sea animal activities in shaping soil-atmospheric exchange of OCS through interacting with soil chemical properties and microbial compositions.</p>
static water contact angle measurements of Ti40Zr10Cu36Pd14 bulk metallic glass and Ti6Al4V surfaces
<p>static water contact angle measurements of Ti40Zr10Cu36Pd14 bulk metallic glass and Ti6Al4V surfaces: the measurments were first taken place on their etched surface and was repeated after they were incubated in orbital shaker in distilled water at 37˚C and 120 rpm for 48 hours. </p> <p> </p>
Prediction of the Severity of Female SUI by Measuring New Static and Dynamic Ultrasound Parameters of the Urethra
ClinicalTrials.gov study NCT03566121. IPD Sharing: NO. Countries: 1. Publications: 0.
Patient-reported Outcome Measures Comparing Static Computer-aided Implant Surgery and Conventional Implant Surgery
ClinicalTrials.gov study NCT04950491. IPD Sharing: NO. Countries: 1. Publications: 27.
static water contact angle measurements on PBT and PBT coated with series of metallic glass coating
<p>PBT is a common textile material. To make it antifouling, it was coated with Zr-Cu-Ag metallic glass with series of different compositions. All the names starting with SP are coated samples. SP stands for sputtered. </p>
Effect of Aromatase Inhibitors on Ultrasonographic Measurements and Static and Dynamic Balance Scores in Breast Cancer
ClinicalTrials.gov study NCT06184074. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Comparative Study of the Results of Dynamic and OPD Static Measurement of Pupil Diameter Before and After Cataract Surgery by Pupil Detectors
ClinicalTrials.gov study NCT06505096. IPD Sharing: NO. Countries: 0. Publications: 0.
Static measurements - Lateral stiffness of bicycle tyres
<p>Measurement of lateral stiffness of bicycle tyres (static measurement) performed through indoor test-rig VeTyT (Department of Mechanical Engineering, Politecnico di Milano, Milan IT). It is the only test-rig for bicycle tyres complying to the standard ISO 9001-2015.</p> <p> </p> <p>For additional references:</p> <p>- Dell'Orto, G., Ballo, F. M., Mastinu, G., Gobbi, M. (2022). Bicycle tyres – development of a new test-rig to measure mechanical characteristics. <em>Measurement</em>, 202, 111813. <a href="https://doi.org/10.1016/j.measurement.2022.111813">https://doi.org/10.1016/j.measurement.2022.111813</a></p> <p>- Dell’Orto, G., Ballo, F. M., Mastinu, G. (2022). Experimental methods to measure the lateral characteristics of bicycle tyres – a review. <em>Vehicle System Dynamics</em>, 1–23. <a href="https://doi.org/10.1080/00423114.2022.2144388">https://doi.org/10.1080/00423114.2022.2144388</a></p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.