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4,010 results for “STABILITY”
Monolithic FAPbBr3 Photoanode for Photoelectrochemical Water Oxidation with Low Onset-potential and Enhanced Stability
<p>Despite considerable research efforts on photoelectrochemical water splitting over the past decades, practical application faces challenges by the absence of efficient, stable, and scalable photoelectrodes. Herein, we report a metal-halide perovskite-based photoanode for photoelectrochemical water oxidation. With a planar structure using mesoporous carbon as a hole-conducting layer, the precious metal-free FAPbBr<sub>3</sub> photovoltaic device achieves 9.2% solar-to-electrical power conversion efficiency and 1.4 V open-circuit voltage. The photovoltaic architecture successfully applies to build a monolithic photoanode with the FAPbBr<sub>3</sub> absorber, carbon/graphite conductive protection layers, and NiFe catalyst layers for water oxidation. The photoanode delivers ultralow onset-potential below 0 V versus the reversible hydrogen electrode and high applied-bias photon-to-current efficiency of 8.5%. Stable operation exceeding 100 h under solar illumination by applying ultraviolet-filter protection. The photothermal investigation verifies the performance boost in perovskite photoanode by photothermal effect. This study is significant in guiding the development of photovoltaic material-based photoelectrodes for solar fuel applications.</p>
Membrane materials thermochemical stability
<p>XRD analysis of membrane materials exposed in contact with inorganic species</p>
Fig. 3 in Stabilization of dhurrin biosynthetic enzymes from Sorghum bicolor using a natural deep eutectic solvent
Fig. 3. NADES-based stabilization of the dhurrin biosynthetic enzymes. A) Illustration of proteoliposomes comprising the POR2B, CYP79A1, CYP71E1 and UGT85B1 reconstituted in liposomes composed of phospholipids extracted from etiolated sorghum seedlings (Metabolon). B) Recovery of activity upon storage of enzymes in NADES and glycerol compared to buffer upon dilution displayed as relative conversion of tyrosine for the Metabolon samples and conversion of cyanohydrin to dhurrin for the UGT85B1 samples. Values are mean of three technical replicates± SD. C) Stability of dhurrin biosynthetic enzymes stored at room temperature in aqueous buffer, NADES and glycerol. Samples were diluted in buffer prior to activity assay. Values are mean of three technical replicates ±SD and fitted to a double exponential decay. D) Bar plot showing relative activity of the enzymes following incubation at various temperatures for 30 min in aqueous buffer, NADES and glycerol. Samples were diluted in buffer prior to activity assay. All values are mean of three independent technical replicates ± SD.
Fig. 2 in Stabilization of dhurrin biosynthetic enzymes from Sorghum bicolor using a natural deep eutectic solvent
Fig. 2. Dhurrin biosynthesis in the presence of different NADESs. A) Etiolated sorghum seedlings used for preparation of microsomes. B) Tyrosine conversion assay in microsomes at different NADES concentrations indicates an optimum at 5% NADES for both glucose:tartrate and glucose:malate. Values are mean of three technical replicates ± SD.
Fig. 1 in Stabilization of dhurrin biosynthetic enzymes from Sorghum bicolor using a natural deep eutectic solvent
Fig. 1. Formation of NADES derived from natural occurring metabolites in plants. A) Chemical structures of D-glucose, tartaric acid, malic acid, choline, glycerol and dhurrin. Mixtures of these metabolites were tested for their ability to form NADES and their potential role in stabilizing the dhurrin biosynthetic enzymes. B) Stoichiometric mixture of glucose and tartrate constitute a NADES with significantly lowered melting point compared to the individual components. C) Biosynthetic pathway of the natural product dhurrin in S. bicolor.
Data for "A thermal-hydro-mechanical model for evaluating the stability of mountain glaciers"
<p>This dataset details the data produced in our study "A thermal-hydro-mechanical model for evaluating the stability of mountain glaciers".</p>
Fig. 4. The stability parameters for modelled D10 in In silico characterization of the impact of mutation (LEU112PRO) on the structure and function of carotenoid cleavage dioxygenase 8 in Oryza sativa
Fig. 4. The stability parameters for modelled D10 protein: wild-type (Blue), mutant (Green), Complex I (wild-type & auxin complex) (orange), Complex II (wild-type & cytokinin complex) (purple), Complex III (mutant-auxin complex) (red) and (D) Complex IV (mutant-cytokinin complex) (black) throughout 100 ns simulation: (A) RMSD, (B) RMSF, (C) PCA of C-α movement, and (D) Radius of gyration. The trajectory projected to the two-dimensional space. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Strengthening E-cadherin adhesion via antibody mediated binding stabilization
<p>Simulation files for the publication: "Strengthening E-cadherin adhesion via antibody mediated binding stabilization". This includes starting structure files, GROMACS parameters files, GROMACS run input files and sample protein trajectory files for all conditions: +ab strong (set 1), +ab weak (set 5), -ab (set 1), K14E +ab (set 1), and 1ab (set 1) conditions. Due to the limitation of the maximum upload size (50GB), only protein trajectories were uploaded without solvent. </p>
Strengthening E-cadherin adhesion via antibody mediated binding stabilization(3)
<p>Simulation files for the publication: "Strengthening E-cadherin adhesion via antibody mediated binding stabilization". This includes protein trajectory files: K14E (sets 2-5), and 1ab (sets 2-5). Due to the limitation of the maximum upload size (50GB), only protein trajectories were uploaded without solvent. </p>
Strengthening E-cadherin adhesion via antibody mediated binding stabilization(2)
<p>Simulation files for the publication: "Strengthening E-cadherin adhesion via antibody mediated binding stabilization". This includes protein trajectory files: +ab (sets 2-4), and -ab (sets 2-5). Due to the limitation of the maximum upload size (50GB), only protein trajectories were uploaded without solvent. </p>
Early-life experience determines the social stability of adult communities in female mice
<p>Home cage RFID-based tracking data of female mice housed in three independent colonies. Data are in the compressed 'RData' format and constitute data objects generated by the R package 'ColonyTrack' (https://rupertoverall.net/ColonyTrack/). The files "YOUNG.RData", "OLD.RData" and "WIND.RData" contain "colonytrack_data" objects with all raw RFID antenna contacts. The files "YOUNG_metrics.RData", "OLD_metrics.RData" and "WIND_metrics.RData" contain "colonytrack_metrics" objects with derived features and processed data used for analysis.</p> <p>These files are supporting data for the manuscript "Early-life experience determines the social stability of adult communities in female mice".</p>
Stability of Biogenic Amino Acids in Concentrated Sulfuric Acid: Implications for the Habitability of Venus' Clouds
<p><strong>DESCRIPTION OF THE DATASET: </strong><br> <br> <strong>Supplementary Datasets for the paper published in Astrobiology, Venus 2 Special Collection:</strong><br> </p> <p><em>Supplementary Dataset S1:</em> The original 1D <sup>1</sup>H and <sup>13</sup>C NMR data collected in 81% w/w and 98% w/w concentrated sulfuric acid at all three time intervals for all 20 amino acids. Supplementary Dataset S1 also contains original 1D <sup>1</sup>H and <sup>13</sup>C NMR data for modified amino acids such as <em>S</em>-sulfocysteine, <em>O</em>-sulfoserine, oxidized cysteine, oxidized methionine as well as original 1D <sup>1</sup>H and <sup>13</sup>C NMR data for tests with formic acid and FeO.<br> </p> <p><em>Supplementary Dataset S2:</em> The original 2D <sup>1</sup>H-<sup>13</sup>C HMQC NMR data for all 20 amino acids collected in 98% w/w concentrated sulfuric acid.</p> <p> </p>
Pollinator asynchrony drives the temporal stability of flower visitation rates, but not of plant reproductive success
<p>Data and code of the article titled " Pollinator asynchrony drives the temporal stability of flower visitation rates, but not of plant reproductive success" by Estefanía Tobajas, Virginia Domínguez-García, Francisco P. Molina and Ignasi Bartomeus</p>
Dataset: On the Stability of a Modular 1000 kV HVDC divider design
<p>In order to calibrate high voltage dividers in testing laboratories and HVDC converter substations, a new measurement infrastructure for on-site calibration up to 1000 kV was established in 2013. A 1000 kV wide-band modular HVDC divider was built divided into stackable 200 kV HV modules for agile on-site assessment, with protection against damage from transients, and for measuring of ripple voltage. Nine 200 kV modules were built by the five NMIs and stacked to one 1000 kV divider and one 800 kV voltage divider. The scale factors of the two dividers were determined in a comparison campaign in June 2013, resulting in a combined expanded uncertainty better than 20 μV/V at 1000 kV, and better than 15 μV/V for 200 kV. Traceability of five modular systems have since been<br> maintained using three methods; where the first method is calibration of the HV resistance of each module and LV arm, calculating the scale factors. The second method uses the Hamon transfer method, applied by RISE with five 200 kV modules. The third method is by comparison of the scale factor which includes the LV arm against a lower voltage reference divider. This paper presents the stability and robustness of all divider systems from June 2013 to spring 2022. The long-term stability is presented for the resistance of both the high voltage and the low voltage arm as well as the scale factor. The result shows an unprecedented stability of a HV divider system.</p>
Stability of martian multi-component brines at low temperatures
<p>The main folder contains four subfolders, and two text files: “<em>GWB parameters</em>”, which summarizes all the parameters in the Geochemist’s Workbench (GWB) React module that have been changed from their default value (for the purpose of reproducing our data). The second file “<em>vincent_jan19_A-phiPoly</em>” contains the thermodynamic data used for modelling at low temperatures. This file is only compatible with the latest version of GWB (version 15).</p> <p>Each of the model folders (Model 1, Model 2, and Model 3) contains three subfolders. Each of these subfolders contain the output graphs obtained from Geochemist’s Workbench at each temperature step, along with the associated data text files. The first of these folders is <em>Minerals vs Water Activity</em>. It contains graphs of the precipitating minerals (mol) on the y-axis versus water activity on the x-axis. The second folder is <em>Species Concentration vs Water Activity</em>. This folder contains graphs of species (mmol/kg) on the y-axis versus water activity on the x-axis. The last of these three folders is <em>Water Mass vs Water Activity</em>. It contains graphs of water activity on the y-axis versus mass of water (g) on the x-axis. In addition to these three subfolders, each model folder contains a text file “<em>Mineral Water Activity MX</em>” (MX being the model number) with the water activity of at each precipitating mineral at each temperature. There is also an Excel file “<em>Minerals Temp vs Water Activity M1</em>” that contains tables and graphs of temperature vs water activity for each precipitant.</p> <p>The last folder named “<em>Figures</em>” contains two additional Excel files used to construct the figures presented in the paper. One is called “<em>Multibrine 2021 All Minerals on One Graph</em>”, and contains a combined graph, for each model, of temperature vs water activity for all precipitants (Figure 1 in the paper). The other Excel file is called “<em>Lowest Water Activity vs Temp</em>”, and contains tables and a graph comparing the lowest recorded water activity value at each temperature with Phoenix Lander data (Figure 2 of the paper).</p>
Neuromuscular Training Improves Single-Limb Stability
ClinicalTrials.gov study NCT04967937. IPD Sharing: NO. Countries: 1. Publications: 12.
The Effect of the Core Stabilization Training on Respiratory Parameters , Functional Capacity and Balance in Scoliosis
ClinicalTrials.gov study NCT03823053. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Brain-heart Interaction in Coronary Plaque Stability and Cardiovascular Events
ClinicalTrials.gov study NCT05545618. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Orthodontic Retention on the Maxillary Stability After SARME Using Laser Scanner
ClinicalTrials.gov study NCT01770782. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Core Stabilization Exercises in Stroke
ClinicalTrials.gov study NCT04673123. IPD Sharing: Not stated. Countries: 1. Publications: 18.
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.