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62 results for “heat flow”
Calibration of a movable heat pulse probe in borehole for measuring horizontal groundwater flow velocity in deep aquifers
<ul> <li>In the laboratory, 42 heat pulse experiments with 7 different Darcy’s velocities and 6 different heating powers had been done. The results are summarized in a relationship of temperature increase with time.</li> <li>The temperature responses were continuously monitored over a 30min period. Data were collected every 2s throughout the recording period. In order to strictly monitor the actual power to the heater, the voltage and current delivered to the heater were also recorded simultaneously with the temperature.</li> <li>The heater was switched on and lasted for 1 min to generate a heat pulse. The time when the heater was switched on was selected as the initial time of data analysis.</li> </ul>
Multiscale modelling of flow, heat transfer and transformation during thermal treatment of starch suspensions
<p>Multiscale modelling of flow, heat transfer and transformation during thermal treatment of starch suspensions</p>
Lunar heat flow constrained from Chang'E-2 Microwave Radiometer and Diviner observations at the Moon's south pole
<p>This data repository includes the Chang'E-2 microwave radiometer data which is provided by the Ground Research and Application System of Chinese Lunar Exploration Program.</p>
Code and data from: Influence of heat transfer and wetting angle on condensable fluid flow through nanoporous anodic alumina membranes
<p>Data and matlab code to compute all figures contained in a manuscript submitted to the linked journal.</p>
Visualization of adiabatic gas-liquid flow in a cross-corrugated plate heat exchanger channel: Part 3 - Original photographs, uniform two-phase distribution
<p>These measurement data are obtained and analyzed as part of a research project on adiabatic gas-liquid flow in a cross-corrugated plate heat exchanger channel. (See list of publications below). <br> The following Creative Commons license applies to the research data (images and measurement values) uploaded to the online repositories:<br> CC-BY 4.0<br> Author: Susanne Buscher</p> <p>The measurement data is published in 2 data sets: </p> <p>Data set I: Original image data (4 parts): <br> - uniform gas injection, part 1: https://doi.org/10.5281/zenodo.7985771; <br> - uniform gas injection, part 2: https://doi.org/10.5281/zenodo.7986374; <br> - uniform gas injection, part 3: https://doi.org/10.5281/zenodo.7986384; <br> - non-uniform gas injection (part 4): https://doi.org/10.5281/zenodo.8067163<br> This data set contains the original photographs of the two-phase flow in the cross-corrugated channel obtained with a high-resolution camera. In addition, the corresponding experimental parameters and flow patterns (for part 1-3 only) are included in the CSV files.<br> For uniform and non-uniform gas injection, respectively, the images were stored in sequentially numbered folders. The numbers of the folders correspond to the numbers of the measurement points listed in the attached CSV files with the associated experimental parameters.<br> The image folders are grouped in ZIP archives. Each ZIP archive contains the single-phase reference images which can be used for the two-phase images to conduct background subtraction, because the lighting conditions are equal for all images in one ZIP archive. </p> <p>Data set II: Measurement values and processed image data: <br> - https://doi.org/10.14279/depositonce-17868; <br> This data set contains all measurement values and calculated results of all measurement points in the Excel and CSV files (e.g. pressure drop, volumetric flow rates, void fraction, measurement uncertainties).<br> In addition, the results of the image processing algorithm are included in the Excel and CSV files (e.g. mean bubble diameter, maximum bubble diameter, local film flow ratio, extent of the two-phase distribution across the channel width, measurement uncertainties).<br> The image folders contain the pre-processed images which were the input to the digital image analysis (i.e. the aligned and cropped image section of the channel without inlet, outlet, and peripheral regions and after subtraction of the image background), and the post-processed images visualizing the output of the digital image analysis for this image (i.e. detected objects are inserted as colored regions in the image section; the meaning of colors was explained in the publications of 2022 and 2023). <br> In this dataset, the image folders are also subdivided into measurements with uniform and non-uniform gas injection and designated with the numbers of the measurement points, which are listed in the Excel and CSV files.</p> <p>The two datasets are the supplementary research data for the following publications: <br> - S. Buscher, 2023, Visualization, measurement, and modelling of adiabatic gas-liquid flow in a cross-corrugated plate heat exchanger channel, Doctoral thesis, Technische Universität Berlin, https://doi.org/10.14279/depositonce-17866. (supplemented by data sets I and II) <br> - S. Buscher, 2019, Visualization and modelling of flow pattern transitions in a cross-corrugated plate heat exchanger channel with uniform two-phase distribution, International Journal of Heat and Mass Transfer 144, 118643, https://doi.org/10.1016/j.ijheatmasstransfer.2019.118643. (supplemented by data set I, part 1-3)<br> - S. Buscher, 2021, Two-phase pressure drop and void fraction in a cross-corrugated plate heat exchanger channel: Impact of flow direction and gas-liquid distribution, Experimental Thermal and Fluid Science 126, 110380, https://doi.org/10.1016/j.expthermflusci.2021.110380. (supplemented by the measurement values in the Excel and CSV files of data set II)<br> - S. Buscher, 2022, Digital image analysis of gas-liquid flow in a cross-corrugated plate heat exchanger channel: A feature-based approach on various two-phase flow patterns, International Journal of Multiphase Flow 154, 104149, https://doi.org/10.1016/j.ijmultiphaseflow.2022.104149. (supplemented by data set II)</p>
Visualization of adiabatic gas-liquid flow in a cross-corrugated plate heat exchanger channel: Part 2 - Original photographs, uniform two-phase distribution
<p>These measurement data are obtained and analyzed as part of a research project on adiabatic gas-liquid flow in a cross-corrugated plate heat exchanger channel. (See list of publications below). <br> The following Creative Commons license applies to the research data (images and measurement values) uploaded to the online repositories:<br> CC-BY 4.0<br> Author: Susanne Buscher</p> <p>The measurement data is published in 2 data sets: </p> <p>Data set I: Original image data (4 parts): <br> - uniform gas injection, part 1: https://doi.org/10.5281/zenodo.7985771; <br> - uniform gas injection, part 2: https://doi.org/10.5281/zenodo.7986374; <br> - uniform gas injection, part 3: https://doi.org/10.5281/zenodo.7986384; <br> - non-uniform gas injection (part 4): https://doi.org/10.5281/zenodo.8067163<br> This data set contains the original photographs of the two-phase flow in the cross-corrugated channel obtained with a high-resolution camera. In addition, the corresponding experimental parameters and flow patterns (for part 1-3 only) are included in the CSV files.<br> For uniform and non-uniform gas injection, respectively, the images were stored in sequentially numbered folders. The numbers of the folders correspond to the numbers of the measurement points listed in the attached CSV files with the associated experimental parameters.<br> The image folders are grouped in ZIP archives. Each ZIP archive contains the single-phase reference images which can be used for the two-phase images to conduct background subtraction, because the lighting conditions are equal for all images in one ZIP archive. </p> <p>Data set II: Measurement values and processed image data: <br> - https://doi.org/10.14279/depositonce-17868; <br> This data set contains all measurement values and calculated results of all measurement points in the Excel and CSV files (e.g. pressure drop, volumetric flow rates, void fraction, measurement uncertainties).<br> In addition, the results of the image processing algorithm are included in the Excel and CSV files (e.g. mean bubble diameter, maximum bubble diameter, local film flow ratio, extent of the two-phase distribution across the channel width, measurement uncertainties).<br> The image folders contain the pre-processed images which were the input to the digital image analysis (i.e. the aligned and cropped image section of the channel without inlet, outlet, and peripheral regions and after subtraction of the image background), and the post-processed images visualizing the output of the digital image analysis for this image (i.e. detected objects are inserted as colored regions in the image section; the meaning of colors was explained in the publications of 2022 and 2023). <br> In this dataset, the image folders are also subdivided into measurements with uniform and non-uniform gas injection and designated with the numbers of the measurement points, which are listed in the Excel and CSV files.</p> <p>The two datasets are the supplementary research data for the following publications: <br> - S. Buscher, 2023, Visualization, measurement, and modelling of adiabatic gas-liquid flow in a cross-corrugated plate heat exchanger channel, Doctoral thesis, Technische Universität Berlin, https://doi.org/10.14279/depositonce-17866. (supplemented by data sets I and II) <br> - S. Buscher, 2019, Visualization and modelling of flow pattern transitions in a cross-corrugated plate heat exchanger channel with uniform two-phase distribution, International Journal of Heat and Mass Transfer 144, 118643, https://doi.org/10.1016/j.ijheatmasstransfer.2019.118643. (supplemented by data set I, part 1-3)<br> - S. Buscher, 2021, Two-phase pressure drop and void fraction in a cross-corrugated plate heat exchanger channel: Impact of flow direction and gas-liquid distribution, Experimental Thermal and Fluid Science 126, 110380, https://doi.org/10.1016/j.expthermflusci.2021.110380. (supplemented by the measurement values in the Excel and CSV files of data set II)<br> - S. Buscher, 2022, Digital image analysis of gas-liquid flow in a cross-corrugated plate heat exchanger channel: A feature-based approach on various two-phase flow patterns, International Journal of Multiphase Flow 154, 104149, https://doi.org/10.1016/j.ijmultiphaseflow.2022.104149. (supplemented by data set II)</p>
Heated Humidified High Flow Nasal Cannula Oxygen in Obstructive Sleep Apnea in Adolescents
ClinicalTrials.gov study NCT05354401. IPD Sharing: Not stated. Countries: 1. Publications: 1.
HHHFNC (Heated Humidified High-Flow Nasal Cannula) Versus NCPAP for Respiratory Distress Syndrome of Prematurity
ClinicalTrials.gov study NCT02570217. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Heat and Moisture Exchanger and Low-flow Gas
ClinicalTrials.gov study NCT00997295. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Characterization of Myocardial Blood Flow During Heat Exposure
ClinicalTrials.gov study NCT04549974. IPD Sharing: NO. Countries: 1. Publications: 1.
High-Flow Heated and Humidified Oxygen Therapy and Gastric Distension
ClinicalTrials.gov study NCT03134937. IPD Sharing: NO. Countries: 1. Publications: 1.
Going with the flow: corals in high-flow environments can beat the heat
<p>Coral reefs are experiencing unprecedented declines in health on a global scale leading to severe reductions in coral cover. One major cause of this decline is increasing sea surface temperature. However, conspecific colonies separated by even small spatial distances appear to show varying responses to this global stressor. One factor contributing to differential responses to heat stress is variability in the coral's micro-environment, such as the amount of water flow a coral experiences. High flow provides corals with a variety of health benefits, including heat stress mitigation. Here, we investigate how water flow affects coral gene expression and provides resilience to increasing temperatures. We examined host and photosymbiont gene expression of <i>Acropora </i>cf. <i>pulchra </i>colonies in discrete <i>in situ</i> flow environments during a natural bleaching event. In addition, we conducted controlled <i>ex situ </i>tank experiments where we exposed <i>A. </i>cf.<i> pulchra </i>to different flow regimes and acute heat stress. Notably, we observed distinct flow-driven transcriptomic signatures related to energy expenditure, growth, heterotrophy and a healthy coral host-photosymbiont relationship. We also observed disparate transcriptomic responses during bleaching recovery between the high- and low-flow sites. Additionally, corals exposed to high flow showed "frontloading" of specific heat-stress related genes such as heat shock proteins, antioxidant enzymes, genes involved in apoptosis regulation, innate immunity, and cell adhesion. We posit that frontloading is a result of increased oxidative metabolism generated by the increased water movement. Gene frontloading may at least partially explain the observation that colonies in high-flow environments show higher survival and/or faster recovery in response to bleaching events.</p>
Heat flow at present-day Mars and evolutionary frame of the Martian heat flows
<p><strong>Citation of global grids and maps: </strong>For more information about the methodology of the generation of SHF and CHF models of Mars please check and cite <strong>Parro, L., Jiménez-Díaz, A., Mansilla, F. <em>et al.</em> Present-day heat flow model of Mars. <em>Sci Rep</em> 7, 45629 (2017). https://doi.org/10.1038/srep45629</strong></p> <p>-------------------------------------------------------------------</p> <p>In the frame of the UPWARDS project, researchers of the Universidad Complutense de Madrid (UCM, Spain) have developed <strong>crustal thickness (CT), crustal heat flow (CHF) and surface heat flow (SHF) models for Mars at different ages </strong>(present-day, 1.5 Gyr, 3.0 Gyr, 3.5 Gyr), which are freely available for science and education.</p> <p>This work has received funding from the European Union's Horizon 2020 Programme (H2020-Compet-08-2014) under grant agreement UPWARDS-633127.</p> <p>For a interactive view, please check: https://ucmadrid.maps.arcgis.com/apps/webappviewer/index.html?id=1ac196e992bd4b7393aa288d20801f4c</p> <p>-------------------------------------------------------------------</p> <p>Other references:</p> <p>Ruiz, J., McGovern, P.J., Jiménez-Díaz, A., López, V., Williams, J-P., Hahn, B.C., Tejero, R., 2011. The thermal evolution of Mars as constrained by paleo-heat flows. Icarus 215, 508-517.</p> <p>Ruiz, J., 2014. The early heat loss evolution of Mars and their implications for internal and environmental history. Sci. Rep. 4, 4338. doi:10.1038/srep04338.</p> <p>Egea-González, I., Jiménez-Díaz, A., Parro, L.M., López, V., Williams, J.-P., Ruiz, J., 2017. Thrust fault modeling and Late-Noachian lithospheric structure of the circum-Hellas region, Mars. Icarus 288, 53-68.</p> <p>Jiménez-Díaz, A., Egea-Gonzalez, I., Parro, L. M., Tasaka, M., & Ruiz, J. (2020). The thermal structure and mechanical behavior of the martian lithosphere. <em>Icarus</em>, <em>353</em>, 113635. https://doi.org/10.1016/j.icarus.2020.113635</p> <p> </p>
Code and data from: Influence of heat transfer and wetting angle on condensable fluid flow through nanoporous anodic alumina membranes
<p>Data and matlab code to compute all figures contained in the manuscript submitted to The Journal of Physical Chemistry C.</p>
Models from "Applying Machine Learning to Characterize and Extrapolate the Relationship Between Seismic Structure and Surface Heat Flow"
Open the record for dataset details and reuse information.
Visualization of adiabatic gas-liquid flow in a cross-corrugated plate heat exchanger channel: Part 4 - Original photographs, non-uniform two-phase distribution
<p>These measurement data are obtained and analyzed as part of a research project on adiabatic gas-liquid flow in a cross-corrugated plate heat exchanger channel. (See list of publications below). <br> The following Creative Commons license applies to the research data (images and measurement values) uploaded to the online repositories:<br> CC-BY 4.0<br> Author: Susanne Buscher</p> <p>The measurement data is published in 2 data sets: </p> <p>Data set I: Original image data (4 parts): <br> - uniform gas injection, part 1: https://doi.org/10.5281/zenodo.7985771; <br> - uniform gas injection, part 2: https://doi.org/10.5281/zenodo.7986374; <br> - uniform gas injection, part 3: https://doi.org/10.5281/zenodo.7986384; <br> - non-uniform gas injection (part 4): https://doi.org/10.5281/zenodo.8067163<br> This data set contains the original photographs of the two-phase flow in the cross-corrugated channel obtained with a high-resolution camera. In addition, the corresponding experimental parameters and flow patterns (for part 1-3 only) are included in the CSV files.<br> For uniform and non-uniform gas injection, respectively, the images were stored in sequentially numbered folders. The numbers of the folders correspond to the numbers of the measurement points listed in the attached CSV files with the associated experimental parameters.<br> The image folders are grouped in ZIP archives. Each ZIP archive contains the single-phase reference images which can be used for the two-phase images to conduct background subtraction, because the lighting conditions are equal for all images in one ZIP archive. </p> <p>Data set II: Measurement values and processed image data: <br> - https://doi.org/10.14279/depositonce-17868; <br> This data set contains all measurement values and calculated results of all measurement points in the Excel and CSV files (e.g. pressure drop, volumetric flow rates, void fraction, measurement uncertainties).<br> In addition, the results of the image processing algorithm are included in the Excel and CSV files (e.g. mean bubble diameter, maximum bubble diameter, local film flow ratio, extent of the two-phase distribution across the channel width, measurement uncertainties).<br> The image folders contain the pre-processed images which were the input to the digital image analysis (i.e. the aligned and cropped image section of the channel without inlet, outlet, and peripheral regions and after subtraction of the image background), and the post-processed images visualizing the output of the digital image analysis for this image (i.e. detected objects are inserted as colored regions in the image section; the meaning of colors was explained in the publications of 2022 and 2023). <br> In this dataset, the image folders are also subdivided into measurements with uniform and non-uniform gas injection and designated with the numbers of the measurement points, which are listed in the Excel and CSV files.</p> <p>The two datasets are the supplementary research data for the following publications: <br> - S. Buscher, 2023, Visualization, measurement, and modelling of adiabatic gas-liquid flow in a cross-corrugated plate heat exchanger channel, Doctoral thesis, Technische Universität Berlin, https://doi.org/10.14279/depositonce-17866. (supplemented by data sets I and II) <br> - S. Buscher, 2019, Visualization and modelling of flow pattern transitions in a cross-corrugated plate heat exchanger channel with uniform two-phase distribution, International Journal of Heat and Mass Transfer 144, 118643, https://doi.org/10.1016/j.ijheatmasstransfer.2019.118643. (supplemented by data set I, part 1-3)<br> - S. Buscher, 2021, Two-phase pressure drop and void fraction in a cross-corrugated plate heat exchanger channel: Impact of flow direction and gas-liquid distribution, Experimental Thermal and Fluid Science 126, 110380, https://doi.org/10.1016/j.expthermflusci.2021.110380. (supplemented by the measurement values in the Excel and CSV files of data set II)<br> - S. Buscher, 2022, Digital image analysis of gas-liquid flow in a cross-corrugated plate heat exchanger channel: A feature-based approach on various two-phase flow patterns, International Journal of Multiphase Flow 154, 104149, https://doi.org/10.1016/j.ijmultiphaseflow.2022.104149. (supplemented by data set II)</p>
The Effect of Oxygen Therapy With Airvo High-flow Heated Humidification
ClinicalTrials.gov study NCT02731872. IPD Sharing: NO. Countries: 1. Publications: 0.
Going with the flow: corals in high-flow environments can beat the heat
Open the record for dataset details and reuse information.
Flow increases tolerance of heat and hypoxia of an aquatic insect
Open the record for dataset details and reuse information.
The Influence of Cerebral Blood Flow and PETCO2 on Neuromuscular Function During Passive Heat Stress
ClinicalTrials.gov study NCT01848665. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.