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4 results for “reliability calibrations”
Calibration curves for Folin-Ciocalteu assay for reliable quantification of total polyphenols.
<p><span>Five different protocols (P1-P5) for determining total polyphenol content in samples were investigated and compared. Detailed information on the protocols are provided in: <br></span></p> <p><span>P1 </span><span>Singleton, V.L.; Rossi, J.A. Colorimetry of Total Phenolics with Phosphomolybdic-Phosphotungstic Acid Reagents. <em>Am J Enol Vitic.</em> <strong>1965</strong>, <em>16</em>, 144–158, doi:10.5344/ajev.1965.16.3.144.</span></p> <p><span>P2<span> </span>Singleton, V.L.; Orthofer, R.; Lamuela-Raventós, R.M. [14] Analysis of Total Phenols and Other Oxidation Substrates and Antioxidants by Means of Folin-Ciocalteu Reagent. In <em>Methods in Enzymology</em>; Oxidants and Antioxidants Part A; Academic Press, 1999; Vol. 299, pp. 152–178.</span></p> <p><span>P3<span> </span>Cicco, N.; Lanorte, M.T.; Paraggio, M.; Viggiano, M.; Lattanzio, V. A Reproducible, Rapid and Inexpensive Folin–Ciocalteu Micro-Method in Determining Phenolics of Plant Methanol Extracts. <em>Microchemical Journal</em> <strong>2009</strong>, <em>91</em>, 107–110, doi:10.1016/j.microc.2008.08.011.</span></p> <p><span>P4. Sotenko, M.; Coles, S.; Barker, G.; Song, L.; Jiang, Y.; Longhurst, P.; Romanova, T.; Shuvaeva, O.; Kirwan, K. Phytoremediation-Biorefinery Tandem for Effective Clean-up of Metal Contaminated Soil and Biomass Valorisation. <em>International Journal of Phytoremediation</em> <strong>2017</strong>, <em>19</em>, 965–975, doi:10.1080/15226514.2016.1267705.</span></p> <p><span>P5<span> </span>Tsibranska, I.; Tylkowski, B.; Kochanov, R.; Alipieva, K. Extraction of Biologically Active Compounds from <em>Sideritis</em> Ssp. L. <em>Food and Bioproducts Processing</em> <strong>2011</strong>, <em>89</em>, 273–280, doi:10.1016/j.fbp.2010.10.004.</span></p> <p> </p> <p><span><span>Total polyphenol content was determined spectrophotometrically using different variation of Folin–Ciocalteu’s method by means of UV-VIS UV-1800 Shimadzu spectrophotometer (Tokio, Japan). </span><span>The Folin-Ciocalteu reagent, a</span><span> mixture of phosphomolybdic and phosphotungstic acids reacts with phenolic compounds and is reduced, forming a blue chromophore detectable spectrophotometrically. Seven concentration levels of gallic acid standard were used to construct the calibration curves: L1 - 0.6 g/L, L2 - 0.4 g/L, L3 - 0.2 g/L, L4 - 0.1 g/L, L5 - 0.05 g/L, L6 - 0.025 g/L and L7 - 0.0125 g/L. A 1 g/L gallic acid stock solution was prepared in Milli-Q water. Each concentration level was measured in triplicate using all the investigated polyphenol determination methods. Once the calibration curves for each method were prepared, </span><span>two independent standard solutions were used for methods validation. The first one was gallic acid at a concentration of 0.2 g/L prepared in Milli-Q water. The second standard was a commercial polyphenol extract Vitaflavan at a concentration of 0.2 g/L which contains 80% of total polyphenols. Each standard solution was measured in triplicate using all the methods investigated. </span></span></p>
Reliably predicting pollinator abundance: challenges of calibrating process-based ecological models
<p>1. Pollination is a key ecosystem service for global agriculture but evidence of pollinator population declines is growing. Reliable spatial modelling of pollinator abundance is essential if we are to identify areas at risk of pollination service deficit and effectively target resources to support pollinator populations. Many models exist which predict pollinator abundance but few have been calibrated against observational data from multiple habitats to ensure their predictions are accurate.</p> <p>2. We selected the most advanced process-based pollinator abundance model available and calibrated it for bumblebees and solitary bees using survey data collected at 239 sites across Great Britain. We compared three versions of the model: one parameterised using estimates based on expert opinion, one where the parameters are calibrated using a purely data-driven approach and one where we allow the expert opinion estimates to inform the calibration process.</p> <p>3. All three model versions showed significant agreement with the survey data, demonstrating this model's potential to reliably map pollinator abundance. However, there were significant differences between the nesting/floral attractiveness scores obtained by the two calibration methods and from the original expert opinion scores.</p> <p>4. Our results highlight a key universal challenge of calibrating spatially-explicit, process-based ecological models. Notably, the desire to reliably represent complex ecological processes in finely mapped landscapes necessarily generates a large number of parameters, which are challenging to calibrate with ecological and geographical data that is often noisy, biased, asynchronous and sometimes inaccurate. Purely data-driven calibration can therefore result in unrealistic parameter values, despite appearing to improve model-data agreement over initial expert opinion estimates. We therefore advocate a combined approach where data-driven calibration and expert opinion are integrated into an iterative Delphi-like process, which simultaneously combines model calibration and credibility assessment. This may provide the best opportunity to obtain realistic parameter estimates and reliable model predictions for ecological systems with expert knowledge gaps and patchy ecological data.</p>
Reliably predicting pollinator abundance: challenges of calibrating process-based ecological models
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Reliable analysis of the catabolic gene landscape and transcriptome for pollutant degradation using a custom open source microarray with internal calibration
GEO Series GSE30303. Cupriavidus pinatubonensis JMP134; Rhizorhabdus wittichii RW1; unidentified microorganism; Pseudomonas putida F1; Paraburkholderia xenovorans LB400. 23 samples. Type: Expression profiling by array.
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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.
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.