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5 results for “thermal response test”

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zenodo44/100

Data set of a thermal response test on a planar trench collector

<p>This data set provides three different temperature measurements (PT100, fiber optic measurement, thermistors), as well as the determination of the volumetric water content and the bulk electrical conductivity of the subsurface. During the published period, a thermal response test was carried out. On April 28th, at 15:25, the fluid circulation began, and heat injection started at 15:38 on April 28th and continued until May 3rd. The test was conducted with a constant volume flow of 1.00 m&sup3;/h and a constant heat injection rate of 0.88 kW.</p>

opencc-by-4.0Nov 2024View details →
zenodo40/100

Estimation of groundwater flow rate by an actively heated fiber optics based thermal response test in a grouted borehole

<p>The dataset contains the numerical&nbsp;data and the <em>in-situ</em> measurements in the manuscript titled &quot;Estimation of groundwater flow rate by an actively heated fiber-optics-based thermal response test in a grouted borehole&quot;. The data is stored in MAT files, which are Binary MATLAB files. There are a series of codes used in this manuscript to estimate groundwater flow rates. The codes were written in MATLAB Live Script, version 2021b.</p> <ul> <li>The numerical&nbsp;data contains temperatures of the heating stage in&nbsp;different thermal response tests in a numerical model, which considers the borehole effects. The model is set up by&nbsp;COMSOL Multiphysics, and a series of flow rates&nbsp;is set to the model&nbsp;respectively for&nbsp;different thermal response tests.</li> <li>The <em>in-situ</em> measurements include&nbsp;temperatures of the heating stage in an actively heated fiber-optics-based thermal response test, which was performed in July 2021 in the grouted borehole, which is located in the lower section of the Sima bend of the Yangtze River. The temperature for the flow rate estimation&nbsp;was thinned to 120 s records from 10s records for the limited computing resources.</li> <li>The <em>data_process.mlx</em>&nbsp;provides pre-processing for the observational data recorded by&nbsp;Silixa Ultima-M MK2 DTS. The&nbsp;<em>estimation_process.mlx </em>gives a groundwater flow estimation case in&nbsp;a grouted borehole.</li> </ul>

opencc-by-4.0Apr 2022View details →
zenodo36/100

Thermal design and full-scale thermal response test on Energy Walls

<p>This folder contains a spreadsheet that includes the underlying data&nbsp;referred to the publication mentioned in the title.</p> <p>For each figure, the underlying data are listed in a dedicated sub-sheet.</p>

opencc-by-4.0May 2019View details →
dryad32/100

Data from: Testing the thermal limits: Non-linear reaction norms drive disparate thermal acclimation responses in Drosophila melanogaster

Critical thermal limits are important ecological parameters for studying thermal biology and for modelling species' distributions under current and changing climatic conditions (including predicting the risk of extinction for species from future warming). However, estimates of the critical thermal limits are biased by the choice of assay and assay conditions, which differ among studies. Furthermore, estimates of the potential for phenotypic plasticity (thermal acclimation) to buffer against future warming are usually based on single assay conditions and (usually linear) extrapolation from a few acclimation temperatures. We produced high resolution estimates of adult acclimation capacity for upper tolerance limits at different assay conditions (ramping rates and knock-down temperatures) using CTmax (dynamic) and knock-down (static) thermal assays in the model species Drosophila melanogaster. We found the reaction norms to be highly dependent on assay conditions. We confirmed that progressively lower ramping rates or higher knock-down temperatures led to overall lower tolerance estimates. More surprisingly, extended assays (lower ramping rates or lower knock-down temperatures) also led to increasingly non-linear reaction norms for upper thermal tolerance across adult acclimation temperatures. Our results suggest that the magnitude (capacity) and direction (beneficial or detrimental) of acclimation responses are highly sensitive to assay conditions. The results offer a framework for comparison of acclimation responses between different assay conditions and a potential for explaining disparate acclimation capacity theories. We advocate cautious interpretation of acclimation capacities and careful consideration of assay conditions, which should represent realistic environmental conditions based on species' ecological niches.

opencc-zeroSep 2020View details →
dryad32/100

Data from: Testing the thermal limits: non-linear reaction norms drive disparate thermal acclimation responses in Drosophila melanogaster

Open the record for dataset details and reuse information.

publicOct 2019View details →

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International Brain Laboratory public data

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Last verified 2026-04-29Open record