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568 results for “condensate”
Raw data for "Condensates in RNA repeat sequences are heterogeneously organized and exhibit reptation dynamics"
<p>This is the raw data for the paper "Condensates in RNA repeat sequences are heterogeneously organized and exhibit reptation dynamics".</p> <p>There are 5 directories. Three correspond to the CAG repeats with different length (20, 31 and 47). The "scramble47" directory stores data for the scrambled sequence. "Electrostatics" has data for the electrostatics run (see details in Extended Data Fig. 9).</p> <p>Each directory of CAG contains multiple sub-directories corresponding to different concentrations.</p> <p> </p>
Aircraft profiles of stable isotope ratios in atmospheric total and condensed water from the NASA ORACLES mission.
<p>Aircraft in-situ measurements of water concentration and heavy water isotope ratios D/H and 18O/16O of cloud water and total water (water vapor plus condensed water) were collected during the NASA ObseRvations of Aerosols above CLouds and their intEractionS (ORACLES) project. Aircraft sampling took place in the southeast Atlantic marine boundary layer and lower troposphere (equator to 22 degrees south) over the months of Sept. 2016, Aug. 2017, and Oct. 2018. Isotope measurements were made using cavity ring-down spectroscopic analyzers integrated into the Water Isotope System for Precipitation and Entrainment Research (WISPER). The WISPER data are processed into mean latitude-altitude curtains and individual vertical profiles for each sampling period.</p> <p> </p> <p>The WISPER data accompanied a suite of other variables including standard meteorological quantities (wind, temperature, moisture), trace gas and aerosol concentrations, radar, and lidar remote sensing, which can be accessed through the DOIs listed further down. The ORACLES campaigns are described by Redemann et al., (2021). The water isotope measurements are further described in Henze et al., (2021). The absolute error with respect to the SMOW-SLAP scale is explained in detail by Henze et al., (2021).</p> <p> </p> <p>Total water concentration and isotope ratios were binned and averaged onto latitude-altitude grids using a kernel estimation approach, with weighting designed to estimate the mean during the approximate month-long duration of each sampling period. Standard deviations for each bin are also computed using kernel density estimation.</p> <p> </p> <p>Time intervals during aircraft vertical profiling are isolated and averaged onto 50-meter vertical levels. The files include water concentration and isotope ratios for both total water and cloud water in addition to temperature, pressure, latitude, and longitude.</p> <p> </p> <p>See included file README.txt for additional details.</p> <p> </p> <p>References</p> <p>---------------</p> <p>Henze, D., Noone, D., and Toohey, D.: Aircraft measurements of water vapor heavy isotope ratios in the marine boundary layer and lower troposphere during ORACLES, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2021-238, in review, 2021.</p> <p> </p> <p>Redemann, J., Wood, R., Zuidema, P., Doherty, S. J., Luna, B., LeBlanc, S. E., Diamond, M. S., Shinozuka, Y., Chang, I. Y., Ueyama, R., Pfister, L., Ryoo, J.-M., Dobracki, A. N., da Silva, A. M., Longo, K. M., Kacenelenbogen, M. S., Flynn, C. J., Pistone, K., Knox, N. M., Piketh, S. J., Haywood, J. M., Formenti, P., Mallet, M., Stier, P., Ackerman, A. S., Bauer, S. E., Fridlind, A. M., Carmichael, G. R., Saide, P. E., Ferrada, G. A., Howell, S. G., Freitag, S., Cairns, B., Holben, B. N., Knobelspiesse, K. D., Tanelli, S., L'Ecuyer, T. S., Dzambo, A. M., Sy, O. O., McFarquhar, G. M., Poellot, M. R., Gupta, S., O'Brien, J. R., Nenes, A., Kacarab, M., Wong, J. P. S., Small-Griswold, J. D., Thornhill, K. L., Noone, D., Podolske, J. R., Schmidt, K. S., Pilewskie, P., Chen, H., Cochrane, S. P., Sedlacek, A. J., Lang, T. J., Stith, E., Segal-Rozenhaimer, M., Ferrare, R. A., Burton, S. P., Hostetler, C. A., Diner, D. J., Seidel, F. C., Platnick, S. E., Myers, J. S., Meyer, K. G., Spangenberg, D. A., Maring, H., and Gao, L.: An overview of the ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) project: aerosol–cloud–radiation interactions in the southeast Atlantic basin, Atmos. Chem. Phys., 21, 1507–1563, https://doi.org/10.5194/acp-21-1507-2021, 2021.</p> <p> </p> <p>The complete archive of ORACLES data are accessible via the digital object identifiers (DOIs) provided under ORACLES Science Team references as follows:</p> <p> </p> <p>ORACLES Science Team: Suite of Aerosol, Cloud, and Related Data Acquired Aboard P3 During ORACLES 2018, Version 3, NASA Ames Earth Science Project Office, https://doi.org/10.5067/Suborbital/ORACLES/P3/2018_V3, 2020a. </p> <p> </p> <p>ORACLES Science Team: Suite of Aerosol, Cloud, and Related Data Acquired Aboard P3 During ORACLES 2017, Version 3, NASA Ames Earth Science Project Office, https://doi.org/10.5067/Suborbital/ORACLES/P3/2017_V3, 2020b. </p> <p> </p> <p>ORACLES Science Team: Suite of Aerosol, Cloud, and Related Data Acquired Aboard P3 During ORACLES 2016, Version 3, NASA Ames Earth Science Project Office, https://doi.org/10.5067/Suborbital/ORACLES/P3/2016_V3, 2020c. </p> <p> </p> <p>ORACLES Science Team: Suite of Aerosol, Cloud, and Related Data Acquired Aboard ER2 During ORACLES 2016, Version 3, NASA Ames Earth Science Project Office, https://doi.org/10.5067/Suborbital/ORACLES/ER2/2016_V3, 2020d.</p>
Supplementary Material 1 : Monitoring Hydrothermal Activity Using Major and Trace Elements in Low-Temperature Fumarolic Condensates, The Case of La Soufriere de Guadeloupe Volcano, by Inostroza et al.
<p>Supplementary Material 1 - Monitoring hydrothermal activity using major and trace elements in low-temperature fumarolic condensates, the case of La Soufriere de Guadeloupe volcano, by Manuel Inostroza, Séverine Moune, Roberto Moretti, Vincent Robert, Magali Bonifacie, Elodie Chilin-Eusebe, Arnaud Burtin, Pierre Burckel</p>
Influenza A virus liquid condensates can undergo pharmacological hardening
<p>Data generated and codes used for the publication titled "Influenza A virus liquid condensates can undergo pharmacological hardening"</p>
Data for: Sticker-and-Spacer Model for Amyloid Beta Condensation and Fibrillation
<p>Data for: Sticker-and-Spacer Model for Amyloid Beta Condensation and Fibrillation</p> <p>Preprint of the paper on bioRxiv:</p> <p>https://www.biorxiv.org/content/10.1101/2022.06.04.494837v1</p>
Data for "Kinetic limitations affect cloud condensation nuclei activity measurements under low supersaturation"
<p>Data for the manuscript "Kinetic limitations affect cloud condensation nuclei activity measurements under low supersaturation" by Tao et al.</p>
Concentrations of total phenolics and condensed tannins and the number of galls combined in each sample
<p>Gall-forming insects induce various types of galls on their host plants by altering gene expression in host plant organs, and recent studies have been conducted for gene expression in galls. However, the evolutionary trajectories of gene expression patterns and the resulting phenotypes have not yet been studied using multiple related species. We investigated the speciation and the diversification process of galls induced by four closely-related aphid species (Hormaphidini) on a host plant species (<em>Hamamelis japonica</em>) by examining the phylogenetic congruence between the geographic divergences of aphids and the host plant, and by comparing their gene expression patterns and resulting phenotypes. Phylogenetic analysis of aphids and the host plant showed that geographic isolation among host plant populations has interrupted gene flow in aphids and accelerated the speciation process. The concentration of phenolics and the complexity of the internal structure of galls were correlated with the expression levels of genes for the biosynthesis of phenolics and morphogenesis, respectively. These results suggest that the expression levels of genes for the biosynthesis of phenolics and morphogenesis have evolutionarily increased in galls accelerated by the speciation process of aphids due to the distribution change of the host plant, leading to the related phenotypic evolution. Our study showed the evolutionary process of phenotypic traits in galls in the wild from both gene expression and actual phenotype levels.</p>
Pulse sequences for measurement of magnetization exchange and effective 1H relaxation rates in condensed phase
<p>- ddHSQC based 4D pulse sequence for measurement of magnetization exchange in condensed phase samples, using gradients for coherence selection. Processing scripts for processing the data. </p> <p>- ddHMQC based 3D pulse sequence for measurement of effective proton transverse relaxation rates in condensed phase samples, using gradients for coherence selection</p> <p> </p>
Data for Taylor Dispersion-Induced Phase Separation for the Efficient Characterisation of Protein Condensate Formation
<p>This archive contains data files the Python 3 code needed to reproduce the analysis done for the publication "Taylor Dispersion-Induced Phase Separation for the Efficient Characterisation of Protein Condensate Formation". Most of the data files are recorded on the Fida 1 instrument (Fidabio, Denmark) and consists of fluorescence recordings at the end of a 1 m long microfluidic channel (Ø 75 µm). Additional data file types include raw microscopy images (Leica SP8 confocal microscope, Germany), spectroscopy and light scattering files from Probedrum/Labbot (Labbot, Sweden), and simulation files generated by Comsol 6 (COMSOL AB, Sweden). Comsol project files are also supplied.</p> <p>The Python code is supplied in the form of Jupyter Notebooks. A python file "TDIPS.py" contains general routines used in the data analysis notebooks, and is for example capable of calculating the viscosity of various salt solution mixtures using table values. This is used for normalisation of the Fida 1 instrument data, when several measurements are done at different salt concentrations.</p> <p>The scripts are running Python 3.11.7 and packages Numpy (1.26.4), Matplotlib (3.8.0), Pandas (2.1.4), Scipy (1.11.4), and LMfit (1.2.2).</p> <p>All figures are included as Scalable Vector Graphics (<em>SVG</em>) files and can be opened using Inkscape.</p> <p>© Technical University of Denmark</p>
Research data supporting "Observation of nonlinear response and Onsager regression in a photon Bose-Einstein condensate"
<p>This repository contains the data presented in the manuscript titled "Observation of nonlinear response and Onsager regression in a photon Bose-Einstein condensate" by A. Sazhin et al., Nature Communications <strong>15</strong>, Article number: <span>4730</span> (<span>2024</span>), arXiv:2403.04705. The files named 'fig{1,2,3,4}.xlsx' contain the final data sets relevant to reproduce all plots shown in the paper.</p>
Multiscale Bayesian Simulations Reveal Functional Chromatin Condensation of Gene Loci
<p>Chromatin, the complex assembly of DNA and associated proteins, plays a pivotal role in orchestrating various genomic functions. To aid our understanding of the principles underlying chromatin organization, we introduce Hi-C metainference, a Bayesian approach that integrates Hi-C contact frequencies into multiscale prior models of chromatin. This approach combines both bottom-up (the physics-based prior) and top-down (the data-driven posterior) strategies to characterize the 3D organization of a target genomic locus. We first demonstrate the capability of this method to accurately reconstruct the structural ensemble and the dynamics of a system from contact information. We then apply the approach to investigate the Sox2, Pou5f1, and Nanog loci of mouse embryonic stem cells using a bottom-up chromatin model at 1kb resolution. We observe that the studied loci are conformationally heterogeneous and organized as crumpled globules, favoring contacts between distant enhancers and promoters. Using nucleosome-resolution simulations, we then reveal how the Nanog gene is functionally organized across the multiple scales of chromatin. At the local level, we identify diverse tetranucleosome folding motifs with a characteristic distribution along the genome, predominantly open at cis-regulatory elements and compact in between. At the larger scale, we find that enhancer-promoter contacts are driven by the transient condensation of chromatin into compact domains stabilized by extensive inter-nucleosome interactions. Overall, this work highlights the condensed, but dynamic nature of chromatin in vivo, contributing to a deeper understanding of gene structure-function relationships.</p>
Data for coherence measurements of polaritons in thermal equilibrium reveal a power law for two-dimensional condensates
<p>All the raw data sets collected for this project are included in this submission. The code for the numerics is also included. 'Readme.text' files are included with the data sets explaining what the data sets are and how to read them. </p>
Reactions of cold argon plasma with condensed-phase peptides and proteins for mass spectrometry imaging and structural elucidation - ESI
<p>ESI data for the paper 'Reactions of cold argon plasma with condensed-phase peptides and proteins for mass spectrometry imaging and structural elucidation'.</p>
Capturing chemical reactions inside biomolecular condensates with reactive Martini simulations
<p>Supporting data for publication "Capturing chemical reactions inside biomolecular condensates with reactive Martini simulations". Contains initial and final simulation snapshots of each simulation condition, and the cluster analysis used to determine the macrocycle size.</p> <p> </p>
Modeling the dispersion of dissolved natural gas condensates from the Sanchi incident
<p>This is the data for submission '<strong>Modeling the dispersion of dissolved natural gas condensates from the Sanchi incident</strong>'. This zip file contains 6 subfolders. The folder named "initialdataofmodel" contains the daily oceanic velocity field for the model derived from Global Ocean Sea Physical Analysis and Forecasting Products distributed by CMEMS, which can be available from <a href="http://marine.copernicus.eu/services-portfolio/access-to-products/?option=com_csw&view=details&product_id=GLOBAL_ANALYSIS_FORECAST_PHY_001_024">http://marine.copernicus.eu/services-portfolio/access-to-products/?option=com_csw&view=details&product_id=GLOBAL_ANALYSIS_FORECAST_PHY_001_024</a> . Other folders contain the data for different figures (experiments) based on the model we used in the paper. The model output data (lon,lat,depth) is written by Fortran as a format of 'format(8e14.6)' .</p>
Coherent soliton condensation in the optical event horizon (experimental data)
<p>tar.gz-archive of experimental data for the article</p> <p>"Coherent soliton condensation in the optical event horizon"</p> <p>S. Bose (1,2), O. Melchert (1,3), I. Babushkin (1,3), M. Pal (2), U. Morgner (1,3), G. Steinmeyer (5,6), and A. Demircan (1,3)</p> <ol> <li>Institute of Quantum Optics, Leibnitz Universität Hannover, Welfengarten 1, 30167 Hannover, Germany</li> <li>Fiber Optics and Photonics Division, CSIR-Central Glass and Ceramic Research Institute (CGCRI), Kolkata, India</li> <li>Cluster of Excellence PhoenixD, Welfengarten 1, 30167, Hannover, Germany</li> <li>Max-Born-Institut, Max-Born-Straße 2A, 12489 Berlin, Germany</li> <li>Institut für Physik, Humboldt-Universität zu Berlin, Newtonstraße 15, 12489 Berlin, Germany</li> </ol>
Fluctuation-dissipation relation for a Bose-Einstein condensate of photons
<p>This repository contains the data presented in the manuscript titled "Fluctuation-dissipation relation for a Bose-Einstein condensate of photons" by F. E. Öztürk et al., <em>Phys. Rev. Lett. </em><strong>130</strong>, 033602 (2023)</p> <p>The files named 'fig{1,2,3,4}.xlsx' contain the final data sets relevant to reproduce all plots shown in the paper.</p>
Raw data for 'Signature of spin triplet exciton condensations in LaCoO3 at ultrahigh magnetic fields up to 600 T'
<p>Raw data for the paper below</p> <p>Signature of spin triplet exciton condensations in LaCoO3 at ultrahigh magnetic fields up to 600 T<br> A. Ikeda, Y. H. Matsuda, K. Sato, Y. Ishii, H. Sawabe, D. Nakamura, S. Takeyama, J. Nasu<br> arXiv:2201.02704</p> <p> </p>
Supporting data for: Condensed-phase molecular representation to link structure and thermodynamics in molecular dynamics
<p>This repository contains supporting data and code for the paper titled "Condensed-phase molecular representation to link structure and thermodynamics in molecular dynamics" by Bernadette Mohr, Diego van der Mast, and Tristan Bereau.</p>
Environment and genotype influence on Populus tremuloides condensed tannin composition
<p>This dataset contains concentration and molecular structural information (mean degree of polymerization, procyanidin:prodelphinidin ratios, stereochemistry) describing condensed tannins in <em>Populus tremuloides</em> (aspen) tree foliage in different genotypes and in response to altered environmental conditions (warming, freeze damage, ozone exposure, elevated carbon dioxide, elevated soil nutrients, altered soil microbiome, mammal browsing, and insect herbivory).</p>
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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)
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DANDI Archive for NWB datasets
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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.