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986 results for “exchange”
SASDM75 – Ras-like protein 1 guanine nucleotide exchange factor region of Candida albicans cell division control protein 25
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Selenium-Centered Cascade Exchangers and Conformational Control Unlock Unique Patterns of Thiol-Mediated Cellular Uptake: Original Data
<p>Original data and procedures for the synthesis of compounds <strong>8</strong>, <strong>13</strong>, <strong>28</strong>, and <strong>29</strong>, and cell experiments </p>
On the layered structure and Seasonal Variation of the Water Exchanges in the Sulawesi Sea Areas as well as the associated dynamics
<p><span>The layered structure and seasonal variation of the water exchanges in the Sulawesi Sea areas, as well as the corresponding dynamics, are investigated using HYCOM data. A net inward water mass transport is identified in the upper and intermediate layers in the Sulawesi Sea and it is compensated by the net outward transport in the deep layer. As an important source of this net inward transport, </span><span>the</span><span> southward flow through </span><span>the </span><span>Sibutu Passage (denoted hereafter as Sibutu Flow) reaches 5.06Sv in winter, accounting for ~43% of the net inflow. However, it </span><span>decreases substantially</span><span> to 1.79Sv in summer</span><span>,</span><span> accounting for only 12% of the inflow. Further analysis reveals that </span><span>this</span><span> Sibutu Flow modulates the seasonal variation of the corresponding outward flow at the Makassar Strait, the major exit of the water mass in the Sulawesi Sea. In winter, the enhancement of the Sibutu Flow associated with the greater intrusion of Kuroshio water into the Luzon Strait</span> <span>produces a stronger eastward pressure gradient force, suppressing the surface intrusion of the Mindanao Current. Conversely, this pressure gradient force weakens and shifts westward in summer, permitting a larger water intrusion from the eastern section. Given that the outward Makassar Flow</span><span> is the main passage of </span><span>the Indonesian Throughflow (ITF), our study highlights the essential role of the Sibutu Flow in modulating seasonal variabilities of the ITF via the Makassar Strait and, thus, the transfer of water masses and heat content between the Pacific and Indian Oceans.</span></p>
Dataset of the Paper "Architecture Decisions in Quantum Software Systems: An Empirical Study on Stack Exchange and GitHub"
<p>This dataset was collected from GitHub and Stack Exchange (including Stack Overflow, Quantum Computing Stack Exchange, and Computer Science Stack Exchange) to conduct an empirical study on architecture decisions in quantum software systems. We provide below a brief description of each file:</p><p><strong>1. Dataset (GitHub).xlsx</strong></p><p>contains selected quantum software projects from GitHub with project names, issue IDs, and issue URLs and the data extracted from the GitHub issues that are related to architecture decisions in quantum software development.</p><p><strong>2. Dataset (SO).xlsx</strong></p><p>contains the IDs and URLs of Stack Overflow (SO) labeled posts and the extracted data from the Stack Overflow posts that are related to architecture decisions in quantum software development.</p><p><strong>3. Dataset (QC).xlsx</strong></p><p>contains the IDs and URLs of Quantum Computing (QC) Stack Exchange labeled posts and the extracted data from the Quantum Computing Stack Exchange posts that are related to architecture decisions in quantum software development.</p><p><strong>4. Dataset (CS).xlsx</strong></p><p>contains the IDs and URLs of Computer Science (CS) Stack Exchange labeled posts and the extracted data from the Computer Science Stack Exchange posts that are related to architecture decisions in quantum software development.</p><p><strong>5. Extracted Data (GitHub+SO+QC+CS).xlsx</strong></p><p>provides the final results of data extracted from the related GitHub issues, SO posts, QC posts, and CS posts.</p>
Dataset - Estimation of alginate purity and M/G ratio by methanolysis coupled with anion exchange chromatography
Open the record for dataset details and reuse information.
Model outputs used in "Drivers of cross-shelf exchange in the East Auckland Current system"
<p>These simulations were developed during the work published in in Santana et al. (2023) (https://gmd.copernicus.org/articles/16/3675/2023/). The DA run is refeered as ASFUVTS (7-day assimilation window) and the NoDA run is the non-assimilative run in Santana et al., (2023). The DA run assimilates observations presented and analysed in Santana et al. (2020) (https://www.nature.com/articles/s41598-021-89222-3).</p> <p>We used the Regional Ocean Modeling System (ROMS), a primitive-equation, hydrostatic, and free-surface ocean model that solves the Reynolds-averaged form of the Navier–Stokes equations. ROMS is a fully nonlinear, finite-difference model that uses terrain-following (sigma) vertical coordinates and horizontal orthogonal or curvilinear Arakawa C grid (Shchepetkin and McWilliams, 2003, 2005; Haidvogel et al., 2008). The model domain (290 x 150) is rotated 52.14° clockwise to better resolve the NZNES and spans 332 km offshore at the widest point (near North Cape). The domain has horizontal resolution of approximately 2 km, which roughly captures coastline variability and still resolves the continental shelf and slope without large computational cost. The model has 30 vertical sigma layers and model bathymetry was interpolated from the 250 m resolution bathymetric data set built by the National Institute of Water and Atmospheric Research (NIWA - https://niwa.co.nz/our-science/oceans/bathymetry). We use a vertical discretisation scheme that increases the resolution near the surface and bottom by applying stretching function type 4 and transformation equation option 2 (Shchepetkin and McWilliams, 2005, 2009). The vertical resolution is higher at the upper 200 m (from 4 to 30 layers). On the slope (depth<1000 m), the vertical resolution is higher than 66 m and in the open ocean the thickest level is 233 m (3838.6 m depth). Baroclinic modes are resolved using a time step of 180 s, while the barotropic time step is 6 s.</p> <p>Model surface forcing is from the Japanese atmospheric 55-year reanalysis for driving ocean models (JRA55-do, Tsujino et al., 2018). A previous study demonstrated that JRA55-do had the highest correlation with observed winds in comparison to other atmospheric forcing datasets in the Southwest Pacific (Taboada et al., 2019). Atmospheric forcing fields of wind speed, net shortwave radiation, downward longwave radiation, relative humidity, temperature, rain, and pressure are specified every 3 h and used to compute the surface fluxes of stress, heat and freshwater using the bulk flux parameterisation of Fairall et al., (2003). The model uses initial and boundary conditions of SSH, temperature, salinity, and velocities from HYCOM-NCODA (Chassignet et al., 2009) versions 91.1 and 91.2 which cover period of simulations generated here. de Souza et al., (2021) analysed the performance of four global reanalysis that assimilate SSH, SST and Argo data on the New Zealand waters. The authors found that HYCOM-NCODA (8 km resolution) had higher SSH and SST variability than low-resolution (25 km) satellite surface observations and other reanalyses with similar grid-spacing. HYCOM-NCODA had velocity standard deviation similar to that observed at M4 and M5, even though GLORYS (8 km global ocean reanalysis, Lellouche et al., 2018) better represented temperature and salinity profiles in the region. Annual average discharge from several rivers are included as lateral forcing in the model. The boundary forcing is applied daily using Chapman (1985) condition for free surface, Shchepetkin condition (Mason et al., 2010) for barotropic velocities and mixed radiation-nudging (Marchesiello et al., 2001) for baroclinic velocities, temperature and salinity. A 5-day nudging coefficient is applied towards the lateral boundaries. The model aims to simulate continental shelf, slope and rise regions, including the offshore extent of the EAuC and its eddy variability. This and the upcoming studies using the simulations analysed here focus on intra-annual variability and tides are not included as forcing.</p>
Data for Hydrogen Diffusion in Hybrid Perovskites from Exchange NMR
<p>Supporting data for Hydrogen Diffusion in Hybrid Perovskites from Exchange NMR<br>https://doi.org/10.1021/acs.chemmater.4c01498</p> <p>Raw and processed 2H, 1H, and 15N NMR data for MAPbI3 and FA0.7MA0.3PbI3. In particular, variable temperature 2H EXSY spectra, and the measured 2H exchange rates as a function of temperature. MA = methylammonium, FA = formamidinium. </p> <p>See README.txt for full details</p>
Heat Exchanger Optimization and Development
<p>Video - Heat Exchanger Optimization and Development</p>
Figure 2 in Herbarium specimens reveal the exchange network of British and Irish botanists, 1856-1932
Figure 2 An example of the network of botanical exchanges. Square nodes represent women. Red nodes are members of the Watson Botanical Exchange Club. Blue nodes are members of the Botanical Exchange Club. Purple nodes are members of both clubs. The node's area is proportion to the number of specimens collected by that collector during the period. The width of the link is proportional to the number of links between those two nodes. (A) The whole network. (B) Detail of the centre of the network. The network was laid out using the Harel–Koren Fast Multiscale algorithm.
Figure 4 A in Herbarium specimens reveal the exchange network of British and Irish botanists, 1856-1932
Figure 4 A histogram showing the proportions of men and women in the network who have different numbers of links.
Figure 3 in Herbarium specimens reveal the exchange network of British and Irish botanists, 1856-1932
Figure 3 Change in the network parameters with time. The bottom chart plots the history of the national botanical clubs of the period. The terms of the secretaries of the Botanical Exchange Club are marked. Abbreviations: JB — J.G. Baker, HT — H. Trimen.
Interspecific gene exchange introduces high genetic variability in crop pathogen - dataset and scripts
<p>The files found in this repository are the one used for generating the analyses presented in the Feurtey et al. manuscript submission accepted in GBE.</p>
Finite element analysis results from simulation of fusion energy heat exchange component: hybrid CAD/IBSim model including a graphite foam interlayer
<p>Temperature profile data from a finite element analysis of a conceptual design for a fusion energy heat exchange component (monoblock). The mesh is a hybrid from a computer aided design (CAD) drawing for the pipe and armour and IBSim for the interlayer. The IBSim interlayer is generated directly from a 3D volumetric image of a graphite foam block (KFoam). The 3D image was generated with an X-ray tomography scan performed by Dr Llion Evans with Manchester X-ray Imaging Facility equipment, which was funded in part by the EPSRC (grants EP/F007906/1, EP/F001452/1 and EP/I02249X/1). Conversion of the data to FE mesh was achieved using ScanIP, part of the Simpleware suite of programmes, version 7 (Synopsys Inc., Mountain View, CA, USA).</p> <p>The mesh used for the analysis is available as a separate dataset:</p> <p><a href="https://doi.org/10.5281/zenodo.3522319">https://doi.org/10.5281/zenodo.3522319</a></p> <p>This data was used originally for the following publications (please cite if re-using the data):</p> <p>Ll.M. Evans, L. Margetts, P.D. Lee, C.A.M. Butler, E. Surrey, “Image based in silico characterisation of the effective thermal properties of a graphite foam”, Carbon, Vol. 143, pp. 542-558, 2018. <a href="https://doi.org/10.1016/j.carbon.2018.10.031">https://doi.org/10.1016/j.carbon.2018.10.031</a></p> <p>Ll.M. Evans, L. Margetts, P.D. Lee, C.A.M. Butler, E. Surrey, “Improving modelling of complex geometries in novel materials using 3D imaging”, Proceedings of NEA International Workshop on Structural Materials for Innovative Nuclear Systems, Manchester, UK, July 2016. <a href="https://www.oecd-nea.org/science/smins4/documents/P1-18_LlME_SMINS4_paper_reviewed.pdf">https://www.oecd-nea.org/science/smins4/documents/P1-18_LlME_SMINS4_paper_reviewed.pdf</a></p>
"Field integration of shoot gas exchange and leaf chlorophyll fluorescence measurements to study the long-term regulation of photosynthesis in situ" data set
<p>The main data used in the "Field integration of shoot gas exchange and leaf chlorophyll fluorescence measurements to study the long-term regulation of photosynthesis in situ" publication, as well as the readme-file for the dataset. Supplementary figures are available at the Tree Physiology website.</p>
Weak Exchange Interactions in Multispin Systems: EPR Studies of Metalloporphyrins Decorated with {Cr7Ni} Rings. Open data set
<p>Data supporting the original figures 2, 3, 4b, 5, and 6 of the related publication.</p>
Correspondence_exchanges_transactions_Forster_Heuland_Humphrey
<p>Database: correspondence of J. Forster, G. Humphrey, H. and C. Heuland (exchanges of natural specimens, commercial transactions, commercial networks).</p>
Boosting large scale capacitive harvesting of osmotic power by dynamical matching of ion exchange kinetics
<p>Raw data for the article "Boosting large scale capacitive harvesting of osmotic power by dynamical matching of ion exchange kinetics" by N. Chapuis and L.Bocquet.</p>
D2.15 List of analysed practices and innovations published in the Exchange platform
<p>Deliverable 2.15 presents the list of analysed practices and innovations available in the B-THENET platform.<br>The dataset format is a list of practices with title (in local language) and rating value. Deliverable 2.15 is the second dataset, following the one of Deliverable 2.14.</p>
D2.14_List of analysed practices and innovations published in the Exchange platform
<p>Deliverable 2.14 presents the results of the analysis of practices and innovations published in the Exchange platform that are being discussed in 2023 by B-THENET Thematic Network.<br>The analysis consisted in rating the practices according to:<br>1. Sustainability, that includes: cost-benefit, bee health, human health and environmental protection.<br>2. Scientific value.<br>3. Readiness to use.<br>The dataset format is a list of practices with titles and rating scores elaborated at local level by the National B-THENET centres together with the respective collaborating partner</p>
Modeling and Regulation of Water Exchange between the Oxbow Lake and the Middle Yangtze River
<p>The above data serves as the complete supporting material for the study conducted in the paper “Modeling and Regulation of Water Exchange between the Oxbow Lake and the Middle Yangtze River”, available for interested researchers to study and discuss.</p>
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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.