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37 results for “acidic waters”
Supplementary data (CC BY-NC-SA 4.0): A reactive neural network framework for water-loaded acidic zeolites
<p><strong>Content (Creative Commons Attribution Non Commercial Share Alike 4.0 International):</strong></p><p>This dataset provides supplementary data to "A reactive neural network framework for water-loaded acidic zeolites". It contains trained Neural Network Potentials (NNP and ΔNNP model), scripts, and all energy and force data used in this work at the (Δ)NNP, ReaxFF, and DFT (SCAN+D3(BJ) and ωB97X-D3(BJ)) level. Energy and forces are stored as ASE trajectory files (traj), readable by the <a href="https://wiki.fysik.dtu.dk/ase/index.html">Atomic Simulation Environment </a>(ASE). In addition, this repository contains the generated training database with DFT (SCAN+D3(BJ)) energies and forces as SchNetPack1.0 database (SiAlOH.db) file readable by ASE and <a href="https://github.com/atomistic-machine-learning/schnetpack/tree/schnetpack1.0">SchNetPack version 1.0</a>.</p><ol><li>"aimd_simulations.zip" - VASP INCAR file, XDATCAR and traj file for 10 ps AIMD run (Supplementary Figure 6) and NNP level (re-)calculated energies/forces ("aimd_nnp_recalc.traj")</li><li>"biased_dynamics.zip" - VASP/Plumed input and output files for DFT (SCAN+D3(BJ)) and NNP level biased dynamics including traj files (Supplementary Figure 12)</li><li>"database_input.zip" - structure (cif) files of the initial structures used for database generation (Supplementary Table 1)</li><li>"delta_nnp.zip" - (pytorch) ΔNNP model (compatible with <a href="https://github.com/atomistic-machine-learning/schnetpack/tree/schnetpack1.0">SchNetPack version 1.0</a>) together with example scripts </li><li>"error_stats.zip" - traj files of all generalization tests (Figure 1 and Supplementary Figure 4) storing energies/forces at the SCAN+D3(BJ), ReaxFF, and NNP level as well as traj files with ΔNNP and ωB97X-D3(BJ) energies/forces for a subset taken from biased dynamics runs (Supplementary Figure 11)</li><li>"md_simulations.zip" - NNP level MD trajectories of all generalization test (Figure 1 and Supplementary Figure 4) runs including an example script for an MD run</li><li>"neb_calculations.zip" - traj files and example scripts for NEB calculations at the (Δ)NNP along with the corresponding DFT energy/force data (SCAN+D3(BJ) and ωB97X-D3(BJ))</li><li>"nnps.zip" - (pytorch) NNP model files (compatible with <a href="https://github.com/atomistic-machine-learning/schnetpack/tree/schnetpack1.0">SchNetPack version 1.0</a>)</li><li>"silica_database.zip" - output files of the single-point (SP) and optimization test runs (Supplementary Figure 1) of pure silica structures together with an example structure optimization script </li><li>"SiAlOH.db" - DFT (SCAN+D3(BJ)) training database as SchNetPack1.0 database file readable by ASE and <a href="https://github.com/atomistic-machine-learning/schnetpack/tree/schnetpack1.0">SchNetPack version 1.0</a></li></ol>
Data archive: Trophic structure of cold-water coral communities revealed from the analysis of tissue isotopes and fatty acid composition
<p>Data belonging to the paper: </p> <p>Dick van Oevelen, Gerard C. A. Duineveld, Marc S. S. Lavaleye, Tina Kutti and Karline Soetaert (2017) Trophic structure of cold-water coral communities revealed from the analysis of 55 tissue isotopes and fatty acid composition. Marine Biology Research, DOI: https://doi.org/10.1080/17451000.2017.1398404</p> <p>Abstract:</p> <p>The trophic structure of cold-water coral reef communities at two contrasting locations, the 800-<br> m deep Belgica Mounds (Irish margin) and 300-m deep Træna reefs (Norwegian Shelf), was<br> investigated using stable isotope (δ13C and δ15N) and fatty-acid composition analysis. A<br> broad range of specimens, with emphasis on (commercial) fish species, and organic matter<br> sources were sampled using a variety of tools. Irrespective of the environmental and<br> geographical setting, the δ15N values indicated that the food web encompasses roughly 1.5<br> to 3 trophic levels. Mobile echinoderms, i.e. sea urchins and sea stars, had highest δ15N<br> values, indicative of a high trophic position in the food web. The fraction of bacterial fatty<br> acids in reef fauna was generally low (<5%), indicating that enhanced bacterial production in<br> the water column through seafloor seepage of nutrients (‘hydraulic theory’) does not form a<br> significant energy pathway into the food web. The high fraction of algal and essential fatty<br> acids in reef fauna and fish at both locations indicates a close coupling with surface<br> productivity, but the transport mechanism depends on the hydrographic setting. At Træna,<br> Calanus copepods and euphausiids form an additional link between primary production and<br> fish, which is largely absent at Belgica Mounds. At Belgica Mounds, the reef community is<br> primarily supported by phytodetritus, as evidenced by the high contribution of algal fatty<br> acids in faunal tissue and seasonal chlorophyll a deposition and marine snow at the reef. The<br> environmental setting of cold-water coral reefs influences the structure of the associated<br> food web.</p>
Datasets used for developing sulfuric acid-water neutral and ion-induced particle formation parameterizations
<p>Supporting data for "New parameterizations for neutral and ion-induced sulfuric acid-water particle formation in nucleation and kinetic regimes" by Määttänen et al. (2017). A README file describing the datasets is included.</p> <p>Five datasets used for developing sulfuric acid-water neutral and ion-induced particle formation parameterizations, published in Määttänen et al. 2017, JGR Atmospheres (submitted) and at https://doi.org/10.5281/zenodo.1044366.</p> <p>Two datasets that have been used to produce Fig 8. of the manuscript: these datasets contain global model output of nucleation rates and total aerosol number concentrations.</p>
Figure 4 in Photosynthetic metabolism and antioxidant in Ormosia arborea are modulated by abscisic acid under water deficit?
Figure 4. Activity of the catalase enzyme in leaf (A) and root (B) of Ormosia arborea seedlings irrigated (I and I 10 µM ABA) and submitted to water deficit conditions (SI and SI 10 µM ABA) in the different evaluation periods: zero time (T0), first null photosynthesis (1 st P0), second null photosynthesis (2nd P0), recovery (REC) and final evaluation (END). Upper case letters differ between trial times and lowercase letters between treatments.
Figure 1 in Photosynthetic metabolism and antioxidant in Ormosia arborea are modulated by abscisic acid under water deficit?
Figure 1. Photosynthetic rate (A) – (A), transpiration rate (E); (B) and water use efficiency (A/E); (C) as a function of the evaluation days of Ormosia arborea irrigated seedlings (I and I 10 µM ABA) and submitted to water deficit conditions (SI and SI 10 µM ABA). Continuous vertical line indicates the periods of evaluation: time zero (T0), first null photosynthesis (1st P0), second null photosynthesis (2nd P0), recovery (REC) and final evaluation (END).
Figure 2 in Photosynthetic metabolism and antioxidant in Ormosia arborea are modulated by abscisic acid under water deficit?
Figure 2. Stomatal conductance (gs) – (A) internal CO 2 concentration (Ci); (B) and instantaneous carboxylation efficiency CO 2 (A/Ci); (C) of Ormosia arborea irrigated seedlings (I and I 10 µM ABA) and submitted to water deficit conditions (SI and SI 10 µM ABA). Continuous vertical line indicates the periods of evaluation: time zero (T0), first null photosynthesis (1st P0), second null photosynthesis (2nd P0), recovery (REC) and final evaluation (END).
Figure 3 in Photosynthetic metabolism and antioxidant in Ormosia arborea are modulated by abscisic acid under water deficit?
Figure 3. Water potential (Ψw) (A) and Potential efficiency quantum of photosystem II (Fv/Fm) (B) as a function of the evaluation periods between irrigated seedlings (I) of Ormosia arborea (I and I 10 µM ABA) and submitted to the water deficit condition (SI and SI 10 µM ABA). Lowercase letters compare the different treatments in the same evaluation period and uppercase letters compare the same treatment in the different evaluation periods.
Figure 6 in Photosynthetic metabolism and antioxidant in Ormosia arborea are modulated by abscisic acid under water deficit?
Figure 6. Enzymatic activity of superoxide dismutase in leaves (SOD Leaves) (A) and roots (SOD roots) (B) of Ormosia arborea seedlings irrigated (I and I 10 µM ABA) and submitted to water deficit conditions (SI and SI 10 µM ABA) in the different evaluation periods: zero time (T0), first null photosynthesis (1st P0), second null photosynthesis (2nd P0), recovery (REC) and final evaluation (END). Upper case letters differ between trial times and lowercase letters between treatments.
Table 1 for Radiocarbon and Stable Carbon Isotope Constraints on the Propagation of Vent CO2 to Fluid in the Acidic Kueishantao Shallow Water Hydrothermal System
<p>This table contains radiocarbon (<sup>14</sup>C) and stable carbon isotope (<sup>13</sup>C) compositions of CO<sub>2</sub> in vent gas, dissolved inorganic carbon and particulates of hydrothermal fluid from Kueishantao shallow water hydrothermal system, offshore northeastern Taiwan.</p>
Synergistic effect of salicylic acid and biochar on biochemical properties, yield and nutrient uptake of triticale under water stress
<p><span>The reduction of soil fertility and water sources in arid regions treats crop production. One of the practical solutions to overcome these problems is application of salicylic acid (SA) with biochar.</span><span> A pot experiment was conducted to consider the combination</span><span> of </span><span>SA with biochar</span><span> on biochemical and physiological parameters of triticale</span><span>.</span><span> Treatments consisted of irrigation regime (normal irrigation and irrigation according to 50% field capacity), salicylic acid application [without SA (SA0) and 3mM SA (SA3)] and fertilizer type including without fertilizer (control), application of 50 kg ha<sup>-1</sup> phosphorus (P), and application of wheat biochar (WB), cotton biochar (CB) and sesame biochar (SB) (2% w/w).</span><span> Under water stress, CB at SA0 and SA3 could improve the total chlorophyll by 119.4 and 70.6%, compare to control respectively.<span> Also, carotenoid content in SA3 treatments increased in the range of 75.8 to 34.6% compared to SA0</span>. </span><span>CB at SA3, created the highest catalase activity (11.4% increase) compared to SB.</span><span> At SA3, the highest RWC was observed in WB and CB by 26.7 and 18.1% increases compared to SA0, respectively. </span><span>At SA3, CB could enhance grain yield by 24.8% under water stress. </span><span>Under water stress, at SA3, remobilization efficiency from 63.2% in control was enhanced to 69.2, 74.3 and 68.1% in WB, CB and SB, respectively. CB and WB had better chemical properties in terms of EC, N, P, K and micronutrients compared to SB. These properties of BC and WB enhanced their ability to increase the nutrient availability, biochemical properties and consequently the grain yield enhancement, especially when applied with SA3.</span></p>
Data from: Dietary plasticity and broad North Atlantic origins inferred from bulk and amino acid-specific δ15N and δ13C favor killer whale range expansions into Arctic waters
<p>Killer whales (<em>Orcinus orca</em>) occur seasonally in the eastern Canadian Arctic (ECA), where their range expansion associated with declining sea ice have raised questions about the impacts of increasing killer whale predation pressure on Arctic-endemic prey. We assessed diet and distribution of ECA killer whales using bulk and compound specific stable isotope analysis (CSIA) of amino acids (AA) of 54 skin biopsies collected from 2009-2020 around Baffin Island, Canada. Bulk ECA killer whale skin δ15N and δ13C values did not overlap with potential Arctic prey after adjustment for trophic discrimination, and instead reflected foraging history in the North Atlantic prior to their arrival in the ECA. Adjusted killer whale stable isotope (SI) values primarily overlapped with several species of North Atlantic baleen whales or tuna. Amino acid (AA)-specific δ15N values indicated the ECA killer whales fed primarily on marine mammals, having similar glutamic acid δ15N – phenylalanine δ15N (δ15NGlx-Phe) and threonine δ15N (δ15NThr) as mammal-eating killer whales from the eastern North Pacific (ENP) that served as a comparative framework. However, one ECA whale grouped with the fish-eating ENP ecotype based δ15NThr. Distinctive essential AA δ13C of ECA killer whale groups, along with bulk SI similarity to killer whales from different regions of the North Atlantic, indicate different populations converge in Arctic waters from a broad source area. Generalist diet and long-distance dispersal capacity favor range expansions, and integration of these insights will be critical for assessing ecological impacts of increasing killer whale predation pressure on Arctic-endemic species.</p>
Data from: Dietary plasticity and broad North Atlantic origins inferred from bulk and amino acid-specific δ15N and δ13C favor killer whale range expansions into Arctic waters
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Data from: Microcanonical kinetics of water-mediated, long range proton transfer in microhydrated 4-aminobenzoic acid
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Maintenance of sodium ion balance in rainbow trout exposed to moderately acidic water is achieved through reduction of sodium efflux
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Deep eutectic solvent-based emulsification liquid-liquid microextraction coupled with HPLC-UV for the analysis of phenoxy acid herbicides in paddy field water samples
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Effects of pH and light exposure on the survival of bacteria and their ability to biodegrade organic compounds in clouds: Implications for microbial activity in acidic cloud water
<p>Our manuscript was submitted to ACP. Upon submission, all data must be accessible by anonymous access.</p>
Comparison of Acidity and Chemical Composition of Summertime Cloud Water and Aerosol at an Alpine Site in Northwest China: Implication for Elevated pH of Cloud
<p>Low molecular weight organic acids and water-soluble ion data of Cloud water and PM2.5 samples in Mt. Hua</p>
Comparison of Pre-exercise Beta-hydroxy-beta-methylbutyrate Free Acid (HMB-FA) and Cold Water Therapy for the Attenuation of Muscle Damage and Soreness
ClinicalTrials.gov study NCT01793779. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Effects of Chlorhexidine Gluconate, Ozonated Water and Hypochlorous Acid Solutions Used in the Oral Care of Patients Supported by Mechanical Ventilation on the Integrity of the Oral Mucosa
ClinicalTrials.gov study NCT06942026. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Effect of Water Exchange Plus Acetic Acid Staining on the Detection of Flat Polyps During Colonoscopy
ClinicalTrials.gov study NCT04464135. IPD Sharing: NO. Countries: 1. Publications: 4.
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Allen Brain Atlas
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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.