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986 results for “exchange”
Electrical conductivity versus temperature in freezing conditions: a field experiment using a basket geothermal heat exchanger
<p>In-situ experiment. Geothermal setup: Five heat exchangers (HE) are arranged in a line and are buried between 1.1 and 3.5 meters. Just two baskets worked: one (HE.5) for a correct functioning of the heat pump and the other (HE1) to freeze the ground. only, this last exchanger (HE1) has been monitored in temperature and electrical resistivity tomography. The basket HE.5 is too far away to have an influence during this experiment, the heat pump was started at 0 hour and worked during 518 hours. The temperature of ground was recorded every minutes, thanks to 41 probes (4 wire Pt100), divided into 7 vertical profils. theses profiles are located at 0, 3, 6, 7, 8, 11, 20, 21 meters (x-distance), and the used heat exchangers are at 7 meters for the HE.1 and at 24 meters for the HE.5, respectively. Electrical Resitivity Tomography (ERT): Before and during the running of the geothermal system, gephysical monitoring was carried out. At the end, nine tomography images were recorded using a SAS-1000 Terrameter (ABEM) associated with 64 electrodes arranged in straigth line (2D acquisition, with a spacing between electrodes of one meter). Apparent resisitivities were inverted with IP4DI software, incorporating spatial and time regularization --Laboratory experiments-- we sampled the soil around the exchanger using an auger. the soil consists of a mixture of clay, silts and some gravels. Two samples are selected in order to conduct some electrical measurement at different temperature. They were dried and then saturated with water from the aquifer (0.117 S/m at 27°C) and put in a thermo-regulated bath (KISS K6 from Huber). At each temperature level, a SIP spectrum was performed with ZSIP, from 0.01 hz to 45 khz.Temperature levels are 20, 15, 10, 5, 2, 0, -2, -4, -6, -8, -10, -14, -18°C. FIles--- Field. Temperature measurements and inverted resitivity: This file contains the temperature measurements and inverted resistivities from geophysical monitoring, presented in the article. Field. Comparaison conductivity vs temperature: This file corresponds to the data extracted from the temperature and inverted resistivity sections in order to attest the resistivity vs temperature relationship. - Laboratory. Comparaison conductivity vs temperature: This file contains the data of the phase and quadrature conductivity as a function of temperature for both samples measured in the laboratory by SIP method.</p>
Transient Host Exchange
<p><strong>The First Public Data Release (DR1) of Transient Host Exchange (THEx) Dataset</strong></p> <p>Paper describing the dataset: “Linking Extragalactic Transients and their Host Galaxy Properties: Transient Sample, Multi-Wavelength Host Identification, and Database Construction” (Qin et al. 2021)</p> <p>The data release contains four compressed archives.</p> <p><strong>“BSON export”</strong> is a binary export of the “host_summary” collection, which is the “full version” of the dataset. The schema was presented in the Appendix section of the paper.</p> <p>You need to set up a MongoDB server to use this version of the dataset. After setting up the server, you may import this BSON file into your local database as a collection using “mongorestore” command.</p> <p>You may find some useful tutorials for setting up the server and importing BSON files into your local database at:</p> <p><a href="https://docs.mongodb.com/manual/installation/">https://docs.mongodb.com/manual/installation/</a></p> <p><a href="https://www.mongodb.com/basics/bson">https://www.mongodb.com/basics/bson</a></p> <p>You may run common operations like query and aggregation once you import this BSON snapshot into your local database. An official tutorial can be found at:</p> <p><a href="https://docs.mongodb.com/manual/tutorial/query-documents/">https://docs.mongodb.com/manual/tutorial/query-documents/</a></p> <p>There are other packages (e.g., pymongo for Python) and software to perform these database operations.</p> <p><strong>“JSON export”</strong> is a compressed archive of JSON files. Each file, named by the unique id and the preferred name of the event, contains complete host data of a single event. The data schema and contents are identical to the “BSON” version.</p> <p><strong>“NumPy export”</strong> contains a series of NumPy tables in “npy” format. There is a row-to-row correspondence across these files. Except for the “master table” (THEx-v8.0-release-assembled.npy), which contains all the columns, each file contains the host properties cross-matched in a single external catalog. The meta info and ancillary data are summarized in THEx-v8.0-release-assembled-index.npy.</p> <p>There is also a THEx-v8.0-release-typerowmask.npy file, which has rows co-indexed with other files and columns named after each transient type. The “rowmask” file allows you to select a subset of events under a specific transient type.</p> <p>Note that in this version, we only include cataloged properties of the confirmed hosts or primary candidates. If the confirmed host (or primary candidate) cross-matched multiple sources in a specific catalog, we only use the representative source for host properties. Properties of other cross-matched groups are not included. Finally, table THEx-v8.0-release-MWExt.npy contains the calculated foreground extinction (in magnitudes) at host positions. These extinction values have not been applied to magnitude columns in our dataset. You need to perform this correction by yourself if desired.</p> <p><strong>“FITS export” </strong>includes the same individual tables as in “NumPy export”. However, the FITS standard limits the number of columns in a table. Therefore, we do not include the “master table” in “FITS export.”</p> <p> </p> <p>Finally, in BSON and JSON versions, cross-matched groups (under the “groups” key) are ordered by the default ranking function. Even if the first group in this list (namely, the confirmed host or primary host candidate) is a mismatched or misidentified one, we keep it in its original position. The result of visual inspection, including our manual reassignments, has been summarized under the “vis_insp” key.</p> <p>For NumPy and FITS versions, if we have manually reassigned the host of an event, the data presented in these tables are also updated accordingly. You may use the “case_code” column in the “index” file to find the result of visual inspection and manual reassignment, where the flags for this “case_code” column are summarized in case-code.txt. Generally, codes “A1” and “F1” are known and new hosts that passed our visual inspection, while codes “B1” and “G1” are mismatched known hosts and possibly misidentified new hosts that have been manually reassigned.</p>
Deletion of the sodium/hydrogen exchanger 6 causes low bone volume in adult mice
<p>The sodium/hydrogen exchanger 6 (NHE6) localizes to recycling endosomes, where it mediates endosomal alkalinization through K<sup>+</sup>/H<sup>+</sup> exchange. Mutations in the SLC9A6 gene encoding NHE6 cause severe X-linked mental retardation, epilepsy, autism and corticobasal degeneration in humans. Patients with SLC9A6 mutations exhibit skeletal malformations, and a previous study suggested a key role of NHE6 in osteoblast-mediated mineralization. The goal of this study was to explore the role of NHE6 in bone homeostasis. To this end, we studied the bone phenotype of NHE6 knock-out mice by microcomputed tomography, quantitative histomorphometry and complementary ex vivo and in vitro studies. We detected NHE6 transcript and protein in both differentiated osteoclasts and mineralizing osteoblasts. In vitro studies with osteoclasts and osteoblasts derived from NHE6 knock-out mice demonstrated normal osteoclast differentiation and osteoblast proliferation without an impairment in mineralization capacity. Microcomputed tomography and bone histomorphometry studies showed a significantly reduced bone volume and trabecular number as well as an increased trabecular space at lumbar vertebrae of 6 months old NHE6 knock-out mice. The bone degradation marker c-terminal telopeptides of type I collagen was unaltered in NHE6 knock-out mice. However, we observed a reduction of the bone formation marker procollagen type 1 N-terminal propeptide, and increased circulating sclerostin levels in NHE6 knock-out mice. Subsequent studies revealed a significant upregulation of sclerostin transcript expression in both primary calvarial cultures and femora derived from NHE6 knock-out mice. Thus, loss of NHE6 in mice causes an increase of sclerostin expression associated with reduced bone formation and low bone volume.</p>
Are inflation expectations irrational in Turkey Exchange rate pass-through analysis
<p>The file contains monthly of TL/USD, Brent oil price, working day and seasonally adjusted industrial production index of Turkey, consumer price index, producer price index, Istanbul Stock Exchange repo rate, 10-year US treasuary bond yield, and the average 12-month-ahead inflation expectations in Turkey.</p>
Formation of the layered circulation in South China Sea with the mixing stimulated exchanging current through Luzon Strait
<p>Formation of the layered circulation in South China Sea with the mixing stimulated exchanging current through Luzon Strait</p>
Multiplying the impact of biodiversity conservation funding using spatial exchange rates
<p>Funding available to support conservation must be invested effectively given declines in biodiversity and ecosystem services. Unfortunately, conservation dollars often come with restrictions on where they can be spent. We introduce a method to demonstrate to supporters of conservation how much more could be achieved if they allow greater flexibility over conservation funding. Specifically, we calculate conservation exchange rates that summarize gains in conservation outcomes available if funding originating in one location can be invested elsewhere. We illustrate our approach by considering NGO funding and major federal programs within the United States and a range of conservation objectives focused on biodiversity and ecosystem services. We show that large improvements in biodiversity and ecosystem service provision are available if geographic restrictions on conservation funding can be loosened. We demonstrate how conservation exchange rates can be used to spotlight promising opportunities for relaxing geographic funding restrictions.</p>
LC-HRAM-MS data for "Emergence of a proton exchange-based isomerization and lactonization mechanism in the plant coumarin synthase COSY"
<p>LC-HRAM-MS data underlying Figures 2b and 3b for "Emergence of a proton exchange-based isomerization and lactonization mechanism in the plant coumarin synthase COSY"</p>
Load-bearing hydrogels ionically reinforced through competitive ligand exchanges
<p>Fast advances in soft robotics and tissue engineering demand for new soft materials whose mechanical properties can be interchangeably and locally varied, thereby enabling, for example, the design of soft joints within an integral material. Inspired by nature, we introduce a competitive ligand-mediated approach to selectively and interchangeably reinforce metal-coordinated hydrogels. This is achieved by reinforcing carboxylate-containing hydrogels with Fe<sup>3+</sup> ions. Key to achieving a homogeneous, predictable reinforcement of the hydrogels is the presence of weak complexation agents that delay the formation of metal-complexes within the hydrogels, thereby allowing a homogeneous distribution of the metal ions. The resulting metal-reinforced hydrogels show a compressive modulus of up to 2.5 MPa, while being able to withstand pressures as high as 0.6 MPa without appreciable damage. Competitive ligand exchanges offer an additional advantage: they enable non-linear compositional changes that, for example, allow the formation of joints within these hydrogels. These features open up new possibilities to extend the field of use of metal reinforced hydrogels to load-bearing applications that are omnipresent for example in soft robots and actuators.</p>
Sediment exchange between southern Yellow Sea and Yangtze River Estuary in response to storm events
<p>Sediment exchange pattern between Yangtze River Estuary and southern Yellow Sea has been a crucial and controversial scientific question, which limits our understanding on the future prediction of morphological evolution of the radical sand ridges and Jiangsu tidal flats. This study investigates various processes including tides, winds and waves to identify a dominant factor controlling sediment exchange between the southern Yellow Sea and the Yangtze River Estuary under storm conditions using a validated numerical model. Our results show that tide is the dominant force controlling hydrodynamics and sediment transport between the two systems. Tide controlled residual currents and sediment fluxes are towards northwest from the Yangtze River Estuary to the southern Yellow Sea, while wind and wave-induced currents under normal wind condition (Beaufort 3 scale, 3.4m s<sup>-1</sup>) adjust net sediment flux by less than 10% and 40%, respectively. The influences of winds and waves on sediment transport vary with wind directions. South or southeast winds enhance the tide-induced northwestward sediment transport, while north or northeast winds reduce the northwestward sediment transport. Under strong winter storm condition, however, the associated northern winds and waves become more important than tides in sediment transport, leading to southeastern directed residual currents and net sediment fluxes. Sediment transport is more active in nearshore area than offshore areas, with little vertical variations.</p>
Nitrogen fixation and gas exchange response to evaporative demand in soybean
<p><span>Atmospheric vapor pressure deficit (VPD) is increasing in many regions and has a large impact on plant productivity. A VPD increase leads to raising transpiration rate (TR) and soil-water demand, risking productivity penalties. Like water, nitrogen is critical to productivity, but the effect of VPD on legume nitrogen fixation is undocumented. To address this, we developed a portable system for quantifying nitrogen fixation noninvasively and at a high temporal resolution by tracking the rate of hydrogen gas evolution by root nodules. Combining field and controlled-environment experiments where we measured leaf gas exchange and H<sub>2</sub> production by nodules, we confirmed the ability of the system to track nitrogen-fixation dynamics. Raising VPD from 0.5 to 3 kPa within ~2.5 hrs under well-watered conditions increased nitrogen fixation by up to 25% in addition to TR, consistent with the hypothesis that raising VPD in that range might have alleviated nitrogenase feedback inhibition. Genotypic differences were found in this response, indicating a potential for breeding. Our study provides evidence for an important environmental effect on nitrogen fixation that is not taken into account in current crop and vegetation models, pointing to untapped avenues for better understanding climate change effects on legumes and nitrogen cycling. </span></p>
Effect of combined subsurface structures and steps on hyporheic exchange
<p>HYPORHEIC FLOW: each file contains the values of downwelling velocity (column 2, in m/s) at each point of the streambed (column 1, in m). The hyporheic exchange flow was calculated through the integration of all downwelling fluxes 197 over the streambed boundary (see section 2.3 of the main manuscript).</p> <p>RTD: in each file, each row corresponds to one upwelling location of the streambed (x, in m) and contains the values of tracer flux (in mol/m^2/s) over time (in seconds). The RTD is obtained through the integration of the flux along the streambed (see section 2.3 of the main manuscript).</p>
TOKENOMICS MODELING: DETERMINING THE INFLUENCE OF TOKENOMICS PARAMETERS ON TOKEN PRICES IN DECENTRALIZED EXCHANGES
<p>Data is presented in an Excel file, which contains three pages. Page "Attributes" shows the data sets of project community members and their attributes, that are used for the 12 main simulations. Page "DEX simulations" calculations of 12 main simulations. Page "Bonus DEX simulations" shows calculations and data sets of project community members of six bonus DEX simulations.</p>
Data supporting 'Modeling Antarctic ice shelf basal melt patterns using the one-Layer Antarctic model for Dynamical Downscaling of Ice--ocean Exchanges (LADDIE v1.0)'
<p>This data set contains the data produced for the paper 'Modeling Antarctic ice shelf basal melt patterns using the one-Layer Antarctic model for Dynamical Downscaling of Ice--ocean Exchanges (LADDIE v1.0)'</p> <p>The data set contains output from LADDIE simulations, including basal melt rates.</p> <p>The main simulations used in the man text are:</p> <p>- Crosson-Dotson: <a href="https://zenodo.org/api/files/0640a922-97a9-4ced-ad3d-dab66f05c696/CrossDots_0.5_tanh_Tdeep0.4_ztcl-500_050.nc">CrossDots_0.5_tanh_Tdeep0.4_ztcl-500_050.nc </a><br> - Filchner-Ronne: <a href="https://zenodo.org/api/files/0640a922-97a9-4ced-ad3d-dab66f05c696/FRIS_1.0_linear_S134.8_T1-2.3_720.nc">FRIS_1.0_linear_S134.8_T1-2.3_720.nc </a><br> </p> <p>The additional simulations included in the Appendix are:</p> <p>- 3D forcing of Crosson-Dotson: <a href="https://zenodo.org/api/files/0640a922-97a9-4ced-ad3d-dab66f05c696/CrossDots_0.5_mitgcm_2003_2008_100.nc">CrossDots_0.5_mitgcm_2003_2008_100.nc </a><br> - Tuning of Crosson-Dotson: XX_YY_ZZ.nc, where XX is the resolution in km, YY is the value for Cd,top, and ZZ is the value for Dmin<br> - Pine Island Ice Shelf: <a href="https://zenodo.org/api/files/0640a922-97a9-4ced-ad3d-dab66f05c696/PIG.nc">PIG.nc </a><br> </p>
Effects of hyporheic exchange and settlement on the particle size distribution of colloids
<p>The files refer to the data set files used in the manuscript (txt and ew format), and the matlab files (mat and m format).</p>
Changing protein-DNA interactions promote ORC binding site exchange during replication origin licensing
<p><strong>Changing protein-DNA interactions promote ORC binding site exchange during replication origin licensing.</strong></p> <p>Zhang, Annie, Massachusetts Institute of Technology, ORCID: 0000-0003-3939-2585</p> <p>DOI: 10.5281/zenodo.7814499</p> <p>Primary publication DOI: <a href="https://doi.org/10.1073/pnas.2305556120">https://doi.org/10.1073/pnas.2305556120</a></p> <p> </p> <p><strong>Folder Structure</strong></p> <p> </p> <p>Source data are organized based on the parent figures from the main text (Figs 1-6). Source data from supplementary figures associated are placed within the associated parent figure folder. All figures, their associated parent figures, and the experiment names from which these figures are derived are summarized in the 'Summary.xlsx' file.</p> <p> </p> <p><strong>File Formats</strong></p> <p><strong> </strong></p> <p>1. Integrated trace files are saved as .dat files.</p> <p> </p> <p>- These trace files are obtained by integrating the fluorescence intensity contained within each DNA spot, or Area of Interest (AOI), over the range of the experimental time frame. They can be read and viewed in Matlab or the Matlab program imscroll, which is publicly available: <a href="https://github.com/gelles-brandeis/CoSMoS_Analysis">https://github.com/gelles-brandeis/CoSMoS_Analysis</a>.</p> <p> </p> <p>- Naming of files:</p> <p>The experiment name is specified at the beginning of the file name.</p> <p>The excitation and emission fields are specified using the following abbreviations.</p> <p>Gex: Green excited (Donor excited)</p> <p>Rex: Red excited (Acceptor excited)</p> <p>GexRex: Green and red excited (Donor and acceptor excited)</p> <p>Gem: Green emission (Donor emission)</p> <p>Rem: Red emission (Acceptor emission)</p> <p> </p> <p> </p> <p>To read the .dat integrated trace files in Matlab the user may type: </p> <p>>>[fn fp] = uigetfile</p> <p>% use the dialog box to mouse click on the appropriate *.dat file, then type:</p> <p>>>eval(['load ' [fp fn] ' -mat'])</p> <p>% This loads an aoifits structure array into the Matlab command environment</p> <p> </p> <p>The integrated trace data is stored in the aoifits.data matrix. A description of the columns is in the aoifits.dataDescription.</p> <p> </p> <p>The first five columns within aoifits.data are the most relevant to view fluorescence emission intensities at individual AOIs over time.</p> <p>Column 1: aoinumber</p> <p>Column 2: framenumber</p> <p>Column 3: amplitude (of fluorescence emission)</p> <p>Column 4: xcenter of the aoi</p> <p>Column 5: ycenter of the aoi</p> <p> </p> <p> </p> <p>2. Time Intervals are stored as excel spreadsheet (.xlsx) files.</p> <p> </p> <p>These files contain the AOI numbers used for analysis and frame numbers that correspond to specific events, such as protein arrival and departure events.</p> <p> </p> <p> </p> <p>3. For experiments with <em>E</em><sub>FRET</sub> analysis performed, <em>E</em><sub>FRET</sub> values are stored as .mat matrix files.</p> <p> </p> <p>Column 1: Time in seconds after protein colocalization with DNA</p> <p>Column 2: <em>E</em><sub>FRET </sub>values</p> <p>Column 3: AOI number</p> <p>Column 4: Frame number</p>
Dateset: Adsorption and thermal stability of dissolved organic matter on Ca- and Mg-exchanged montmorillonite: Implications for persistence in soils and sediments
<p>Here is the dataset used for the paper "Adsorption and thermal stability of dissolved organic matter on Ca- and Mg-exchanged montmorillonite: Implications for persistence in soils and sediments". </p><p> </p><p><a href="https://doi.org/10.1016/j.chemgeo.2023.121813">https://doi.org/10.1016/j.chemgeo.2023.121813</a></p>
Spin Dynamics, Loop Formation and Cooperative Reversal in Artificial Quasicrystals with Tailored Exchange Coupling
<p>The attachment contains the dataset for the manuscript entitled "Spin Dynamics, Loop Formation and Cooperative Reversal in Artificial Quasicrystals with Tailored Exchange Coupling".</p> <p> </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>
Figure source data for 'Ultrafast activation of the double-exchange interaction in antiferromagnetic manganites'
<p>This repository contains figure source data for 'Ultrafast activation of the double-exchange interaction in antiferromagnetic manganites'</p>
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)
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.