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122 results for “Monitoring methods”
Data from: An environmental DNA-based method for monitoring spawning activity: a case study, using the endangered Macquarie perch (Macquaria australasica)
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Data from: A novel method for using ecoacoustics to monitor post‐translocation behaviour in an endangered passerine
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Data from: Using occupancy modeling to compare environmental DNA to traditional field methods for regional-scale monitoring of an endangered aquatic species
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Moving out of town? The status of alien plants in high-Arctic Svalbard, and a method for monitoring of alien flora in high-risk, polar environments
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Data for: A systematic review evaluating the performance of eDNA methods relative to conventional methods for biodiversity monitoring
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MONITORING STUDENTS' KNOWLEDGE AND METHODS OF IMPROVING IT IN MATHEMATICS LESSONS
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A precise and general FRET-based method for monitoring structural transitions in protein self-organization
<p>Data underlying the figures in the manuscript</p>
Supplementary material 1 from: Blancher P, Lefrançois E, Rimet F, Vasselon V, Argillier C, Arle J, Beja P, Boets P, Boughaba J, Chauvin C, Deacon M, Duncan W, Ejdung G, Erba S, Ferrari B, Fischer H, Hänfling B, Haldin M, Hering D, Hette-Tronquart N, Hiley A, Järvinen M, Jeannot B, Kahlert M, Kelly M, Kleinteich J, Koyuncuoğlu S, Krenek S, Langhein-Winther S, Leese F, Mann D, Marcel R, Marcheggiani S, Meissner K, Mergen P, Monnier O, Narendja F, Neu D, Onofre Pinto V, Pawlowska A, Pawlowski J, Petersen M, Poikane S, Pont D, Renevier M-S, Sandoy S, Svensson J, Trobajo R, Tünde Zagyva A, Tziortzis I, van der Hoorn B, Vasquez MI, Walsh K, Weigand A, Bouchez A (2022) A strategy for successful integration of DNA-based methods in aquatic monitoring. Metabarcoding and Metagenomics 6: e85652. https://doi.org/10.3897/mbmg.6.85652
Table S1
Accompanying dataset for: "A Bayesian method for predicting background radiation at environmental monitoring stations"
<h3>Physical parameters included</h3> <ul> <li>Ten-minute-averaged ambient dose equivalent rates (nSv/h) observed by the Immission Monitors for Ring area (IMR stations) at the sites of the SCK CEN and the Doel NPP for selected periods in time</li> </ul> <h3>Geographic locations</h3> <ul> <li>Belgian Nuclear Research Centre (SCK CEN) in Mol, Belgium: 18 IMR stations</li> <li>Nuclear Power Plant in Doel, Belgium: 16 IMR stations</li> </ul> <h3>Periods</h3> <ul> <li>6 through 13 August 2022</li> <li>30 August through 1 September 2022</li> <li>10 through 12 September 2022</li> </ul> <h3>Description of data</h3> <p>The zipped folder contains three sub folders for the different periods of interest. Each sub folder contains 34 files. Files are either named IMR-D##.txt to indicate Doel-based or IMR-M##.txt to indicate SCK CEN-based stations. Exact locations (WGS84) are included in the headers. Time stamps (referred to as 'local_time' in the files) are given in Central European Summer Time (UTC+2), and the ambient dose equivalent rates (referred to as 'value' in the files) in nanosievert per hour (nSv/h).</p> <h3>Acknowledgements</h3> <p>The authors thank François Menneson from FANC-ACFN for providing access to the Telerad data.</p>
Accompanying software for: "A Bayesian method for predicting background radiation at environmental monitoring stations"
<h3>Introduction</h3> <p>This software accompanies: "A Bayesian Method for predicting background radiation at environmental monitoring stations". The software is written in Python and depends (besides on standard packages like numpy) on the PyMC package for Bayesian inference. A brief user manual is provided that will allow to install the necessary prerequisites in a conda environment, and describes how to perform the inferences that are described in the paper. This requires additionally downloading the dataset that we have also made available on this platform (<a href="https://doi.org/10.5281/zenodo.12581795" target="_blank" rel="noopener">10.5281/zenodo.12581795</a>). </p> <h3>Description of files</h3> <ul> <li><em>manual.pdf</em> describes how to install the necessary packages in conda, and how to perform inferences from the paper.</li> <li><em>main.py</em> is the main script, which contains the input parameters and calls the relevant functions.</li> <li><em>bayesian_inference.py</em> contains the beating heart of the software. Here, the Bayesian problems for calibration and predictions are set up and solved using the PyMC package.</li> <li><em>data_paper_interface.py </em>is only necessary when reproducing the data from the paper. It contains the different cases that were used in the paper, and can be used to parse data from the accompanying dataset.</li> </ul>
Noninvasive Blood Glucose Monitoring Method Based on Imaging of the Eye
ClinicalTrials.gov study NCT02236364. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Comparison of Three Methods of Hemoglobin Monitoring
ClinicalTrials.gov study NCT01284296. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Comparative Analysis of CO2 Monitoring Methods in Patients With CF Undergoing General Anesthesia
ClinicalTrials.gov study NCT03734822. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Accuracy and Reliability of Fetal Heart Rate and Uterine Contraction Monitoring Method
ClinicalTrials.gov study NCT01280357. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Method Comparison/User Evaluation of the i-SENS Self-Monitoring Blood Glucose / β-Ketone System
ClinicalTrials.gov study NCT05833100. IPD Sharing: NO. Countries: 1. Publications: 0.
Comparisonbetween Primary Hypertension Monitoring Methods for Detection of Early Kidney Dysfunction
ClinicalTrials.gov study NCT03491813. IPD Sharing: Not stated. Countries: 0. Publications: 3.
Camera transects as a method to monitor high temporal and spatial ephemerality of flying nocturnal insects
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Data from: Screening sticky cards as a simple method for improving efficiency of Diaphorina citri (Hemiptera: Liviidae) monitoring and reducing non-target organisms
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HTS based monitoring of the efficiency of somatic embryogenesis and meristem culture as a method used for virus elimination in grapevine
GEO Series GSE159758. Vitis vinifera. 10 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Monitoring Nivolumab binding as a method to clarify the residual therapeutic effects and to characterize the immune profile in antibody bound T cells in previously treated non-small cell lung cancer p
GEO Series GSE100860. Homo sapiens. 14 samples. Type: Expression profiling by high throughput sequencing.
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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.
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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.