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139 results for “structural properties”

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dryad32/100

Riverscape properties contribute to the origin and structure of a hybrid zone in a Neotropical freshwater fish

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publicAug 2020View details →
dryad32/100

Scaling and structural properties of juvenile bull kelp (Nereocystis luetkeana) Data

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publicJul 2021View details →
dryad32/100

Effect of substitution of Al2O3 and B2O3 for SiO2 on the structural and thermodynamic properties of cover glass for liquid crystal display

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publicAug 2020View details →
dryad32/100

Geometric structure and electronic properties of boron-substituted silicene

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publicOct 2020View details →
dryad28/100

Data from: Structural and catalytic properties of copper silicate nanomaterials

<p><span>Nanosized copper silicates with three different structural morphology (amorphous, nanotubes and MEL) were prepared using different synthesis methods. The physico-chemical properties of copper silicates were characterized by XRD, FT-IR, SEM, HRTEM, N<sub>2</sub>-physisorption, XPS and H<sub>2</sub>-TPR techniques. The results indicated that the preparation conditions affect reduction behavior and textural properties of nanosized copper silicates. Hydrothermal synthesis method yielded chrysocolla-like CuSiO<sub>3</sub> nanotubes, which possessed high surface area and pore volume with easy reducibility. The catalytic performances of synthesized copper silicate nanostructures were evaluated for dehydrogenation of methanol.<b> </b>It was found that dehydrogenation activity is depended on the structural properties of copper silicates. Highest activity was observed for copper silicates with nanotube morphology. Catalytic dehydrogenation activity of copper silicates was also related to presence of more number of Cu-O-Si species, easy reducibility and Lewis acid centers. The CuSiO<sub>3</sub> nanotubes sample also exhibited good stability under investigated reaction conditions that deactivation was not detected for 48 h.</span></p>

opencc-zeroJan 2020View details →
dryad28/100

Effect of B-site co-substitution on the structure and magnetic properties of nanocrystalline neodymium orthoferrite synthesized by auto-combustion

<p><span>Samples of cobalt-doped neodymium orthoferrite compounds, NdCo<sub>x</sub>Fe<sub>1-x</sub>O<sub>3</sub> (0.0 ≤ x ≤ 0.5) were synthesized via glycine auto-combustion between 250 – 300 °C and calcined at 500 °C for two hours. X-ray diffraction showed that all compounds had an orthorhombic perovskite structure with space group Pbnm. Increasing cobalt doping gradually reduced the lattice parameters and contracted the unit cell volume. Both X-ray diffraction and Scanning Electron Microscopy showed that the particles were spherical and in the nano-sized range (19 – 52 nm) with pores between grains. Vibrating sample magnetometry at room temperature indicated that NdFeO<sub>3</sub> has high coercive field (1950 Oe) and cobalt substitution for iron led to a decrease in the coercive field, saturation and remanent magnetization which was as a result of decreased magnetic moments in the crystal and reduced canting of the FeO<sub>6</sub> octahedra. The increase in magnetization and coercive fields with increase Co was connected to the microstructure (bond lengths and angles, defects, pores, grain boundaries) and crystallite size. The compounds NdCo<sub>x</sub>Fe<sub>1-x</sub>O<sub>3</sub> show antiferromagnetism with weak ferromagnetism due to uncompensated noncollinear moments. These compounds could serve as prototypes for tuning the properties of magnetic materials (ferromagnetic and antiferromagnetic) with potential applications in data storage, logic gates, switches and sensors. </span></p>

opencc-zeroDec 2020View details →
dryad28/100

Data from: Encroachment of shrubs into subalpine grasslands in the Pyrenees modifies the structure of soil fungal communities and soil properties.

The encroachment of shrubs into grasslands is common in terrestrial ecosystems dominated by grass. Land abandonment and favourable climatic trends in recent decades have favoured the expansion of shrubs into subalpine grasslands in many mountainous regions across Europe. The advance of the succession from grassland to shrubland is expected to have a major impact on ecosystem functioning. We used DNA metabarcoding to assess whether the structure of soil fungal communities varied along the succession from subalpine grassland to shrubland in the Pyrenees, and investigated whether shrub encroachment was associated with changes in soil properties. The expansion of shrubs increased the soil C:N ratio and/or reduced the N, P, or K contents. Plant-driven changes in soil properties were strongly associated with the compositional turnover of fungi, including arbuscular mycorrhizal, ectomycorrhizal, ericoid, root endophytic, saprotrophic, lichenised, and pathogenic fungi. Total richness and the richness of most functional groups were correlated with soil P, N, and the C:N or N:P ratios. We show that the interplay between abiotic factors (changes in soil properties) and biotic factors (occurrence and identity of shrubs) played a key role in the structure and uniqueness of soil fungal communities along the succession.

opencc-zeroDec 2018View details →
zenodo28/100

Timing Properties and Correctness for Structured Parallel Programs on x86-64 Multicores - Dataset

<p>Multicore architec- tures are increasingly common, but real architectures have unpredictable timing properties, and even correctness is not obvious when systems are built on the relaxed-memory concurrency models that are enforced by commonly-used hardware. This paper takes a rigorous approach to correctness and timing properties, examining common locking protocols from first principles, and extending this through queues to structured parallel constructs. We prove functional correctness and derive simple timing models, extending these for the first time from low-level machine operations to high-level parallel patterns. Our derived high-level timing models for structured parallel programs allow us to accurately predict upper bounds on program execution times on x86-64 multicores.&nbsp;</p> <p>&nbsp;</p> <p>This package contains all the datasets from the paper.</p>

openbsd-licenseJul 2016View details →
zenodo28/100

DEPENDENCE OF ITS PHYSICAL AND CHEMICAL PROPERTIES ON THE STRUCTURE OF BRIQUETTES

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opencc-by-4.0Nov 2024View details →
zenodo28/100

Supplementary files for "Connection between water's dynamical and structural properties: insights from ab initio simulations"

<p>Examples of input scripts and data files for the simulations.</p>

opencc-by-4.0Apr 2022View details →
zenodo28/100

Relating Crystal Structure to Surface Properties: A Study on Quercetin Solid Forms

<p>This dataset was used in the publication &quot;Relating Crystal Structure to Surface Properties: A Study on Quercetin Solid Forms&quot;.&nbsp;In this work, the surface properties of two different quercetin solvates (quercetin dihydrate and quercetin DMSO solvate) were studied using molecular (synthonic) modeling and experimental techniques, including inverse gas chromatography (IGC) and contact angle measurements, to establish a relationship between crystal structure and surface properties. The attachment energy model was used to predict morphologies and calculate surface properties through the study of their growth synthons. The modeling results confirmed the surface chemistry anisotropy for the two forms. For quercetin dihydrate, the {010} facets were found to grow mainly by nonpolar offset quercetin&ndash;quercetin stacking interactions, thus being hydrophobic, while the {100} facets were expected to be hydrophilic, growing by a polar quercetin&ndash;water hydrogen bond. For QDMSO, the dominant facet {002} grows by a strong polar quercetin&ndash;quercetin hydrogen bonding interaction, while the second most dominant facet {011} grows by nonpolar &pi;&ndash;&pi; stacking interactions. Water contact angle measurements and IGC confirmed a greater overall surface hydrophilicity for QDMSO compared to QDH and demonstrated surface energy heterogeneity for both structures. This work shows how synthonic modeling can help in the prediction of the surface nature of crystalline particles and guide the choice of parameters that will determine the optimal crystal form and final morphology for targeted surface properties, for example, the choice of crystallization conditions, choice of solvent, or presence of additives or impurities, which can direct the crystallization of a specific crystal form or crystal shape.</p>

opencc-by-4.0Sep 2022View details →
zenodo28/100

Petrophysical properties of limestone and sandstone used as structural material for Roman buildings on the island of Rab in Croatia

<p>The results of EDS analysis for Lopar sandstones and limestones.</p>

opencc-by-4.0Jul 2023View details →
zenodo28/100

Molecular Property Diagnostic Suite Compound Library (MPDS-CL): A Structure based Classification of the Chemical Space

<p>Molecular Property Diagnostic Suite-Compound Library (MPDS-CL), is an open-source galaxy-based cheminformatics web-portal which presents a structure-based classification of the molecules. A structure-based classification of nearly 150&nbsp;million unique compounds, which are obtained from 42 publicly available databases were curated for redundancy removal through 97 hierarchically well-defined atom composition-based portions. These are further subjected to 56-bit fingerprint-based classification algorithm which led to a formation of 56 structurally well-defined classes. The classes thus obtained were further divided into clusters based on their molecular weight. Thus, the entire set of molecules was put in 56 different classes and 625 clusters. This led to the assignment of a unique ID, named as <em>MPDS AadharID</em>, for each of these 149 169 443 molecules. <em>MPDS AadharID</em> is akin to the unique number given to citizens in India (similar to the SSN in US, NINO in UK). MPDS-CL unique features are: a) several search options, such as exact structure search, substructure search, property-based search, fingerprint-based search, using SMILES, InChIKey and key-in; b) automatic generation of information for the processing for MPDS and other galaxy tools; c) providing the class and cluster of a molecule which makes it easier and fast to search for similar molecules and d) information related to the presence of the molecules in multiple databases. The MPDS-CL can be accessed at http://mpds.neist.res.in:8086/.</p>

opencc-by-4.0Sep 2023View details →
ClinicalTrials.gov28/100

Corneal Biomechanics, Optical Properties and Anterior Segment Structural Features in Patients With Pseudoexfoliation

ClinicalTrials.gov study NCT06731530. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →
dryad28/100

Data from: Solution properties and aggregating structures for a fluorine-containing polymeric surfactant with a poly(ethylene oxide) macro-monomer

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publicJul 2018View details →
dryad28/100

Effect of B-site co-substitution on the structure and magnetic properties of nanocrystalline neodymium orthoferrite synthesized by auto-combustion

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publicDec 2020View details →
dryad28/100

Influence of early thermal-oxidative ageing on the structure and properties of polyoxymethylene copolymer

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publicJun 2021View details →
dryad28/100

Data from: Encroachment of shrubs into subalpine grasslands in the Pyrenees modifies the structure of soil fungal communities and soil properties.

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publicMar 2019View details →
dryad28/100

Data from: Structural and catalytic properties of copper silicate nanomaterials

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publicJan 2020View details →
dryad28/100

Data from: The influence of spatially structured soil properties on tree community assemblages at a landscape scale in the tropical forests of southern Cameroon

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publicNov 2017View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record