Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
139
datasets available to search
ShareScore release 0.9.0
Dataset results
139 results for “structural properties”
Equation of State, Structure, and Transport Properties of Iron Hydride Melts at Planetary Interior Conditions dataset
<p>Datasets from <a href="https://doi.org/10.1029/2024JE008525">https://doi.org/10.1029/2024JE008525</a></p> <p>"Equation of State, Structure, and Transport Properties of Iron Hydride Melts at Planetary Interior Conditions"</p> <p>Emma R. Stoutenburg1, Razvan Caracas2, Natalia V. Solomatova3, and Andrew J. Campbell1</p> <p>1Department of the Geophysical Sciences, University of Chicago, Chicago, IL, USA, 2 Université Paris Cité, Institut de Physique du Globe de Paris, CNRS, 1 rue Jussieu, Paris, France, 3CNRS, Ecole Normale Supérieure de Lyon, Laboratoire de Géologie de Lyon LGLTPE UMR5276, Centre Blaise Pascal, Lyon, France</p> <p>--- </p> <p><em>Please make sure you download data from the 30 October, 2024 version. </em> </p> <p>--- </p> <p>ds01.xlsx</p> <p>Contains pressure, density, volume, and temperature of the main dataset discussed in the paper (10 and 100 GPa). Also included are the diffusivities of iron and hydrogen in units of m2/s, viscosity in units of Pa⋅s, average Fe-Fe and Fe-H coordination numbers and bond lengths, as well as the molecular hydrogen abundance and the average number of Fe in H1, H2, and H3 clusters. Nominal pressures, Pnom are provided as these data were generalized within the text; their actual pressure, Pavg, are provided as well. (v1 vs v2: viscosity columns ([visc_Pas, visc_std] were updated, as a typo was discovered in the calculation of viscosity and it was a factor of 1/3 too small; May 2024: added molecular hydrogen data; October 2024, viscosity updated to include a neglected factor of 1/2).</p> <p>ds02.xlsx</p> <p>Contains all the data used in fitting the equation of state (v1-2 vs May 2024: P<10 GPa added to equation of state fit). The first sheet includes the molar volume, temperature, pressure (P), the magnetism corrected pressure (P_magcor115), and the residuals from the equation of state fits (both Birch Murnaghan and Vinet). The second sheet includes the comparison of spin polarized and non-spin polarized pressure in the iron hydrides at ~1 GPa. The third sheet includes the comparison of spin polarized and non-spin polarized pressure in pure iron. </p> <p>FeH-EOS_XfromrhoPT.py</p> <p>added in Oct 2024 update, a simple python function that estimates the hydrogen content of an Fe-H melt with a given density, pressure, and temperature </p>
Data from: Genomic signatures of paleodrainages in a freshwater fish along the southeastern coast of Brazil: genetic structure reflects past riverine properties
Past shifts in connectivity in riverine environments (for example, sea-level changes) and the properties of current drainages can act as drivers of genetic structure and demographic processes in riverine population of fishes. However, it is unclear whether the same river properties that structure variation on recent timescales will also leave similar genomic signatures that reflect paleodrainage properties. By characterizing genetic structure in a freshwater fish species (Hollandichthys multifasciatus) from a system of basins along the Atlantic coast of Brazil we test for the effects of paleodrainages caused by sea-level changes during the Pleistocene. Given that the paleodrainage properties differ along the Brazilian coast, we also evaluate whether estimated genetic diversity within paleodrainages can be explained by past riverine properties (i.e., area and number of rivers in a paleodrainage). Our results demonstrate that genetic structure between populations is not just highly concordant with paleodrainages, but that differences in the genetic diversity among paleodrainages correspond to the joint effect of differences in the area encompassed by, and the number of rivers, within a paleodrainage. Our findings extend the influence of current riverine properties on genetic diversity to those associated with past paleodrainage properties. We discuss how these findings may explain the inconsistent support for paleodrainages in structuring divergence from different global regions and the importance of taking into account past conditions for understanding the high species diversity of freshwater fish that we currently observe in the world, and especially in the Neotropics.
Structures for "Protonation States of Molecular Groups in the Chromophore-Binding Site Modulate Properties of the Reversibly Switchable Fluorescent Protein rsEGFP2"
<p>Files with atomic coordinates of the structures obtained in geometry optimization of molecular systems within the protein and cluster models. Supplementary materials for the paper "Protonation States of Molecular Groups in the Chromophore-Binding Site Modulate Properties of the Reversibly Switchable Fluorescent Protein rsEGFP2"</p>
Dataset: Tailoring the Magnetic and Structural Properties of Manganese/Zinc Doped Iron Oxide Nanoparticles through Microwaves-Assisted Polyol Synthesis
<p>Data set</p>
Dataset to analyze the psychometric and structural properties of a scale designed to measure attitudes to integrated flood risk management
<p>The content of this reference includes the dataset generated by means of a questionnaire survey to a representative sample (N=406) of a city of Zamora (Spain). It contains 39 columns (c) which represents the following variables: Flooding area (c1); Flood risk perception (c2 to c7); Attitudes toward flood mitigation measures (c8 to c22); Perceived efficiency of general flood mitigation measures (c23 to c28); Assessment of the adequacy of overall flood risk management in the city and neighborhood (c29 to c30); Safety, environment, and economy preferences in flood risk management (c31 to c33); Postal code (c34); Age (c35); Age intervals (c36); sex (c37); Factorial saved loadings (c38 to c39).</p>
Aqueous self-assembly of a wide range of sophorolipid and glucolipid microbial bioamphiphiles (biosurfactants): considerations about the structure-properties relationship
<p><em>Hypothesis</em></p> <p>Sophorolipids are well-known scaled-up microbial glycolipid biosurfactants with strong commercialization potential for their biological origin, mildness compared to classical surfactants. However, their properties are still poorly understood, they cannot be predicted and their behaviour in solution challenges half a century of knowledge generated in the field of surfactant science. By studying forty different types of sophorolipids, this work contributes to better tackle their structure-property relationship and identify which chemical groups in their molecular structure have a critical influence towards their self-assembly properties in water.</p> <p> </p> <p><em>Experiments</em></p> <p>This work explores the self-assembly properties at room temperature of sophorolipids and sophorosides in water using small angle X-ray scattering (SAXS), optical and cryogenic transmission electron microscopy (cryo-TEM). Structural features like the number of sugar headgroups, acetylation, end-chain functional group, (un)saturation, lactonization and length of chain are varied both to rationalize their impact and to understand their effect on the self-assembly.</p> <p> </p> <p><em>Findings</em></p> <p>The number of sugar groups, pH, (un)saturation and lactonization were found to have a critical impact in respect to the sophorolipids self-assembly. The chemical nature of the end-chain functional group and the chain length were found to have a possibly critical impact, depending on the specific type of chemical function (COOH and long chains are critical). Mono- and diacetylation, as well as position of sophorose on the fatty acid (ω, ω-1), are not critical, i.e., do not significantly influence the sophorolipids self-assembly.</p> <p><em>Hypothesis</em></p> <p>Sophorolipids are well-known scaled-up microbial glycolipid biosurfactants with strong commercialization potential for their biological origin, mildness compared to classical surfactants. However, their properties are still poorly understood, they cannot be predicted and their behaviour in solution challenges half a century of knowledge generated in the field of surfactant science. By studying forty different types of sophorolipids, this work contributes to better tackle their structure-property relationship and identify which chemical groups in their molecular structure have a critical influence towards their self-assembly properties in water.</p> <p> </p> <p><em>Experiments</em></p> <p>This work explores the self-assembly properties at room temperature of sophorolipids and sophorosides in water using small angle X-ray scattering (SAXS), optical and cryogenic transmission electron microscopy (cryo-TEM). Structural features like the number of sugar headgroups, acetylation, end-chain functional group, (un)saturation, lactonization and length of chain are varied both to rationalize their impact and to understand their effect on the self-assembly.</p> <p> </p> <p><em>Findings</em></p> <p>The number of sugar groups, pH, (un)saturation and lactonization were found to have a critical impact in respect to the sophorolipids self-assembly. The chemical nature of the end-chain functional group and the chain length were found to have a possibly critical impact, depending on the specific type of chemical function (COOH and long chains are critical). Mono- and diacetylation, as well as position of sophorose on the fatty acid (ω, ω-1), are not critical, i.e., do not significantly influence the sophorolipids self-assembly.</p>
COMSOL simulation & example datasets for: Nonuniform structural properties of wings confer sensing advantages
<p>Sensory feedback is essential to both animals and robotic systems for achieving coordinated, precise movements. Mechanosensory feedback, which provides information about body deformation, depends not only on the properties of sensors but also on the structure in which they are embedded. In insects, wing structure plays a particularly important role in flapping flight: in addition to generating aerodynamic forces, wings provide mechanosensory feedback necessary for guiding flight while undergoing dramatic deformations during each wingbeat. However, the role that wing structure plays in determining mechanosensory information is relatively unexplored. Insect wings exhibit characteristic stiffness gradients and are subject to both aerodynamic and structural damping. Here we examine how both of these properties impact sensory performance, using finite element analysis combined with sensor placement optimization approaches. We show that wings with nonuniform stiffness exhibit several advantages over uniform stiffness wings, resulting in higher accuracy of rotation detection and lower sensitivity to the placement of sensors on the wing. Moreover, we show that higher damping generally improves the accuracy with which body rotations can be detected. These results contribute to our understanding of the evolution of the nonuniform stiffness patterns in insect wings, as well as suggest design principles for robotic systems.</p>
Computational Data for "Synthesis, Structures and Photophysical Properties of Tetra- and Hexanuclear Zinc Complexes Supported by Tridentate Schiff Base Ligands"
<p>Computational data used for the article "Synthesis, Structures and Photophysical Properties of Tetra- and Hexanuclear Zinc Complexes Supported by Tridentate Schiff Base Ligands". This Includes the geometries, optimizations, and the TD-DFT calculations of all mentioned structures and simulated UV-Vis spectra.</p>
Supporting dataset for "Surface energy dynamics and canopy structural properties in intact and disturbed forests in the Southern Amazon"
<p>Supporting dataset for the manuscript “Surface energy dynamics and canopy structural properties in intact and disturbed forests in the Southern Amazon", currently under review in the Journal of Geophysical Research: Biogeosciences.</p>
Data from: Insight into the structural and magnetotransport properties of epitaxial alpha-Fe2O3/Pt(111) heterostructures: The role of the reversed layer sequence
<p>We report on the chemical structure and spin Hall magnetoresistance (SMR) in epitaxial α-Fe<sub>2</sub>O<sub>3</sub>(hematite)(0001)/Pt(111) bilayers with hematite thicknesses of 6 nm and 15 nm grown by molecular beam epitaxy on a MgO(111) substrate. Unlike previous studies that involved Pt overlayers on hematite, the present hematite films were grown on a stable Pt buffer layer and displayed structural changes as a function of thickness. These structural differences (the presence of a ferrimagnetic phase in the thinner film) significantly affected the magnetotransport properties of the bilayers. We observed a sign change of the SMR from positive to negative when the thickness of hematite increased from 6 nm to 15 nm. For α-Fe<sub>2</sub>O<sub>3</sub>(15 nm)/Pt, we demonstrated room-temperature switching of the Néel order with rectangular, nondecaying switching characteristics. Such structures open the way to extending magnetotransport studies to more complex systems with double asymmetric metal/hematite/Pt interfaces.</p>
Data from: Structural and mechanical properties facilitate shock wave damping by helmet-like orbital hoods in snapping shrimp
Open the record for dataset details and reuse information.
Data from: Genomic signatures of paleodrainages in a freshwater fish along the southeastern coast of Brazil: genetic structure reflects past riverine properties
Open the record for dataset details and reuse information.
Data from: Insight into the structural and magnetotransport properties of epitaxial alpha-Fe2O3/Pt(111) heterostructures: The role of the reversed layer sequence
Open the record for dataset details and reuse information.
Two photon data from: Functional and structural properties of highly responsive somatosensory neurons in mouse barrel cortex
Open the record for dataset details and reuse information.
COMSOL simulation & example datasets for: Nonuniform structural properties of wings confer sensing advantages
Open the record for dataset details and reuse information.
Data from: Interplay of crystal structure and magnetic properties of the Eu5.08-xSrxAl3Sb6 solid solution
Open the record for dataset details and reuse information.
Data from: Variations in bark structural properties affect both water loss and carbon economics in neotropical savanna trees in the Cerrado region of Brazil
Open the record for dataset details and reuse information.
Data from: Multi-scale structure of chromatin condensates explains phase separation and material properties
Open the record for dataset details and reuse information.
Similar but different: Revealing the relative roles of species‐traits versus biome properties structuring genetic variation in South American marsh rats
Open the record for dataset details and reuse information.
Transport and structural properties of reduced S-bearing glasses and melts
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
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.