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FIG. 5 in Micropaleontological parameters as proxies of late Miocene surface water properties and paleoclimate in Gavdos Island, eastern Mediterranean

FIG. 5. — Relative frequency curves of the planktonic foraminifera identified in Bo Section. Refer to Figure 2 for the explanation of the lithostratigraphical column.

FIG. 3 in Micropaleontological parameters as proxies of late Miocene surface water properties and paleoclimate in Gavdos Island, eastern Mediterranean

FIG. 3. — Relative frequency curves of the planktonic foraminifera identified in Ag. Giannis Section. Refer to Figure 2 for the explanation of the lithostratigraphical column.

FIG. 2 in Micropaleontological parameters as proxies of late Miocene surface water properties and paleoclimate in Gavdos Island, eastern Mediterranean

FIG. 2. — Lithostratigraphical columns of the Ag. Giannis, Potamos and Bo sections, Gavdos Island, Greece.

FIG. 4 in Micropaleontological parameters as proxies of late Miocene surface water properties and paleoclimate in Gavdos Island, eastern Mediterranean

FIG. 4. — Relative frequency curves of the planktonic foraminifera identified in Potamos Section. Refer to Figure 2 for the explanation of the lithostratigraphical column.

opencc-by-4.0Jan 2023View details →

Modulating the Surface Properties of Lithium Niobate Nanoparticles by Multifunctional Coatings Using Water-in-Oil Microemulsions

Raw data associated to the study entitled Modulating the Surface Properties of Lithium Niobate Nanoparticles by Multifunctional Coatings Using Water-in-Oil Microemulsions. Metadata file DLS measurements FTIR characterization Labbook NMR characterization TEM and EDX analysis XRD measurements

opencc-by-4.0Aug 2020View details →

Closure Study on Hygroscopic Properties of Water-soluble Matter in Atmospheric PM2.5 at a Rural Site in Northwest China

The data supports the manuscript entitled “Closure Study on Hygroscopic Properties of Water-soluble Matter in Atmospheric PM2.5 at a Rural Site in Northwest China”. The data can be used freely for scientific purposes with the appropriate citation.

opencc-by-4.0Nov 2020View details →

Data associated to the manuscript "Computational Screening of the Physical Properties of Water-in-Salt Electrolytes"

Contains input files and data used to generate the figures of the article: Computational Screening of the Physical Properties of Water-in-Salt Electrolytes Trinidad Mendez-Morales, Zhujie Li and Mathieu Salanne, *ChemRxiv*, 13012646v2, 2020 [https://doi.org/10.26434/chemrxiv.13012646.v2](https://doi.org/10.26434/chemrxiv.13012646.v2) *WiS-inputs.zip* contains typical [LAMMPS](https://lammps.sandia.gov/) input files for all the systems. The folder *transport_coefficients* contains the computed viscosities, conductivities and diffusion coefficients for all the systems. The folder *radial_distribution_functions* contains all the partial radial distribution functions for all the systems. The nomenclature of the atoms of the anion is provided in the file *figureS1.pdf* and the atoms from the water molecules are labelled Ow and Hw.

dryad36/100

Physical and biogeochemical properties of California Current upwelled source waters

Coastal upwelling variability in the California Current region, one of the four main eastern boundary current upwelling systems, is controlled by processes acting over a wide range of spatial and temporal scales. While the ensuing ecosystem response depends strongly on upwelled water properties, determining their exact physical and biogeochemical characteristics is notoriously difficult as it requires tracking water masses backward in space and time from the moment they upwell near the coast to their subsurface origin. Adjoint model simulations have been used successfully to track water masses in coastal upwelling systems and the work presented here extends these applications to determining the co-variability of physical and biogeochemical properties of source waters at spatial scales that resolve the known alongshore variability of coastal upwelling dynamics in the region. Notably, the results identify that the modulation of coastal upwelling efficiency by onshore/offshore geostrophic meanders is the dominant mechanism explaining alongshore variability in source depth and properties of upwelled waters. The simulations also reveal that source water properties vary seasonally in response to different balances between coastal upwelling intensity and biogeochemical processes. During spring, interannual variability of physical and biogeochemical properties is directly tied to the intensity of upwelling-favorable alongshore winds, whereas, during summer, biogeochemical properties respond more strongly to biological activity and subsequent organic matter remineralization at depth. Overall, the present work provides important insight into the mechanisms responsible for the alongshore mosaic and seasonal variation upwelled source water properties in the central California Current region.

opencc-zeroDec 2023View details →

opencc-by-4.0Jan 2022View details →

Predicting Properties of Periodic Systems from Cluster Data: A Case Study of Liquid Water

<ul> <li> Description</li> </ul> The 1520 water clusters were extracted from Ref. 1. The respective energies and atomic forces were recomputed at the revPBE-D3/def2-TZVP [2-6], B3LYP-D3/def2-TZVP [4-6, 7, 8], and  BLYP-D3/def2-TZVP [4-6, 7, 9] level. <ul> <li> Format</li> </ul> The data is stored in python compressed array format (.npz) with the atomization energy in kcal/mol and atomic forces in kcal/mol/Ang. The data set contains five np.ndarray <pre><code>import numpy as np data = np.load('revpbe.npz') data['R'] # Cartesian coordinates of nuclei in Ang. data['E'] # Total energy in kcal/mol data['F'] # Atomic forces in kcal/mol/Ang. data['N'] # Number of atoms in each structure data['Z'] # Nuclear charges</code></pre> References <ul> </ul> [1] Molpeceres G., Zaverkin V., and Kästner J., “Neural-network assisted study of nitrogen atom dynamics on amorphous solid water – I. adsorption and desorption,” Mon. Not. R. Astron. Soc. 499, 1373 (2020). [2] P. E. Blöchl, “Projector augmented-wave method,” Phys. Rev. B 50, 17953 (1994). [3] Y. Zhang and W. Yang, “Comment on “generalized gradient approximation made simple”,” Phys. Rev. Lett. 80, 890 (1998). [4] S. Grimme, J. Antony, S. Ehrlich, and H. Krieg, “A consistent and accurate ab initio parametrization of density functional dispersion correction (DFT-D) for the 94 elements H-Pu,” J. Chem. Phys. 132, 154104 (2010). [5] F. Weigend and R. Ahlrichs, “Balanced basis sets of split valence, triple zeta valence and quadruple zeta valence quality for H to Rn: Design and assessment of accuracy,” Phys. Chem. Chem. Phys. 7, 3297 (2005). [6] F. Weigend, “Accurate Coulomb-fitting basis sets for H to Rn,” Phys. Chem. Chem. Phys. 8, 1057 (2006). [7] A. D. Becke, “Density-functional thermochemistry. iii. the role of exact exchange,” J. Chem. Phys. 98, 5648 (1993). [8] P. J. Stephens, F. J. Devlin, C. F. Chabalowski, and M. J. Frisch, “Ab initio calculation of vibrational absorption and circular dichroism spectra using density functional force fields,” J. Phys. Chem. 98, 11623 (1994). [9] C. Lee, W. Yang, and R. G. Parr, “Development of the Colle-Salvetti correlation-energy formula into a functional of the electron density,” Phys. Rev. B 37, 785 (1988).

dryad36/100

Data from: Variations in bark structural properties affect both water loss and carbon economics in neotropical savanna trees in the Cerrado region of Brazil

Even after complete stomatal closure, plants lose water through the leaf cuticles and bark. This residual water conductance of leaves (gleaf-res) and stems (gbark) can negatively impact plant water balance and affect plant survival in seasonally dry environments. However, little is known about the costs and benefits associated with such water leaks, especially on stem level. Here, we characterized the structural and functional determinants of the variability in gbark across tropical savanna species to elucidate how variations in this trait are related to contrasting growth strategies. The high variability in gbark across species was associated with morphoantomical properties of the outer bark (thickness, density, and lenticel investment), and such characteristics influenced both stem transpiration and respiration, suggesting the existence of a trade-off between water conservation and oxygen permeability, which reflected contrasting growth and dehydration tolerance strategies. For instance, species with higher gbark and gleaf-res presented a fast resource acquisition strategy but were more prone to drought-induced mortality by hydraulic failure. However, model simulations revealed that the relative contribution of gleaf-res and gbark to overall water balance depended on whether leaves were less or more resistant to cavitation than the stems. Synthesis. By combining correlative studies, experimental results, and a modeling exercise, we provide a new understanding of the costs and benefits associated with the variability in gbark across tropical savanna species, and a new perspective for studies of water relations and carbon economics in species from a hyperdiverse savanna.

opencc-zeroMay 2022View details →

opencc-by-4.0Apr 2024View details →

Temporal dynamics of canopy properties and carbon and water fluxes in a temperate evergreen angiosperm forest

Dataset and code for the Manuscript "Temporal dynamics of canopy properties and carbon and water fluxes in a temperate evergreen angiosperm forest"

opencc-by-4.0May 2024View details →

Synergistic effect of salicylic acid and biochar on biochemical properties, yield and nutrient uptake of triticale under water stress

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. A pot experiment was conducted to consider the combination of SA with biochar on biochemical and physiological parameters of triticale. 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-1 phosphorus (P), and application of wheat biochar (WB), cotton biochar (CB) and sesame biochar (SB) (2% w/w). Under water stress, CB at SA0 and SA3 could improve the total chlorophyll by 119.4 and 70.6%, compare to control respectively. Also, carotenoid content in SA3 treatments increased in the range of 75.8 to 34.6% compared to SA0. CB at SA3, created the highest catalase activity (11.4% increase) compared to SB. At SA3, the highest RWC was observed in WB and CB by 26.7 and 18.1% increases compared to SA0, respectively. At SA3, CB could enhance grain yield by 24.8% under water stress. 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.

opencc-by-4.0Jul 2019View details →

Water Vapor Sorption Properties of Illinois Shales under Dynamic Water Vapor Conditions: Experimentation and Modeling

Data sets for the Publication 'Water Vapor Sorption Properties of Illinois Shales under Dynamic Water Vapor Conditions: Experimentation and Modeling' in Water Resources Research.

opencc-by-4.0Aug 2024View details →

MiniMPL data for 'Supercooled liquid water cloud classification using lidar backscatter peak properties'

This depository contains MiniMPL data collected in Christchurch, New Zealand from May 2021 to December 2022 for 'Supercooled liquid water cloud classification using lidar backscatter peak properties' by Whitehead et al. (2024). The dataset contains: <ul> <li> MiniMPL data processed with the Automatic Lidar and Ceilometer Framework (ALCF; Kuma et al., 2021)</li> <li>Reference cloud phase mask</li> <li>G22-Christchurch model-generated cloud phase mask</li> <li>Figures comparing the G22-Davis and G22-Christchurch masks to the reference mask</li> </ul>

FIG. 9 in Micropaleontological parameters as proxies of late Miocene surface water properties and paleoclimate in Gavdos Island, eastern Mediterranean

FIG. 9. — SST curves based on the percentages of warm- and cool-water indices.

FIG. 8 in Micropaleontological parameters as proxies of late Miocene surface water properties and paleoclimate in Gavdos Island, eastern Mediterranean

FIG. 8. — The score plots of the factors revealed from the R-mode analysis for each section.

FIG. 6 in Micropaleontological parameters as proxies of late Miocene surface water properties and paleoclimate in Gavdos Island, eastern Mediterranean

FIG. 6. — Litho-, bio- and chronostratigraphy of the studied sections in Gavdos Island, Greece.

opencc-by-4.0Sep 2021View details →

Water Uptake as a Crucial Factor on Properties of Cryogels of Gelatine Linked by Dextran Dialdehyde

supplementary information

opencc-by-4.0Jul 2021View details →

Optical properties of water-coated sea salt aerosol

Optical properties of water-coated and partially dissolved sea salt aerosol particles have been computed with <ul> <li>non-concentrical core-shell models (using MSTM)</li> <li>cube-sphere hybrids (using Tsym)</li> <li>homogeneous superellipsoids (using Tsym)</li> <li>inhomogeneous superellipsoids (using ADDA)</li> <li>coated convex polyhedra (using ADDA)</li> </ul> Model raw output data as specified in the respective code documentations is provided. In addition input files for the Tsym calculations and the geometry files for the coated convex polyhedra (in DDSCAT input file format) are included. The manuscript describing this research was submitted to Optics Express in July 2021. Version 2.0 contains results and the respective geometry files for additional calculations with the coated convex polyhedra model.