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.
7
datasets available to search
ShareScore release 0.9.0
Dataset results
7 results for “scaling equations”
Dataset: Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges
<p>Direct numerical simulation (DNS) data for 2D forced homogeneous isotropic turbulence (FHIT) and 2D Rayleigh-Benard Convection (RBC). This data is used to discover subgrid-scale (SGS) closures for momentum and heat fluxes.</p> <p>Paper: "<strong>Learning Closed-Form Equations for Subgrid-Scale Closures From High-Fidelity Data: Promises and Challenges</strong>" <br> <a href="https://doi.org/10.1029/2023MS003874">https://doi.org/10.1029/2023MS003874</a></p>
Text-fig. 30. Scanning electron microscope (SEM) images of anther and pollen of Kempia longicolpites; Catefica locality, Portugal. a) Transverse section through an anther showing the four pollen sacs with in situ pollen; b) Pollen in situ from anther in (a) showing very long colpus and loosely attached reticulum; c) Detail of reticulum showing smooth muri supported by short, scattered columellae; d) Pollen grain from anther in (a) enlarged showing colpus extended beyond the equator and loosely attached reticulum; e) Detail of pollen wall showing thick, homogeneous foot layer, columellae and reticulate tectum; note remains of granular endexine (arrows) in the apertural region of the grain; f) Internal view of reticulum showing the short columellae adhering to the muri detached from the foot layer. Specimen, Catefica 49-S101208 (a–f). Scale bars = 100 Μm (a), 20 Μm (b), 6 Μm (d), 3 Μm (c, e, f). in The Early Cretaceous Mesofossil Flora Of Catefica, Portugal: Angiosperms
Text-fig. 30. Scanning electron microscope (SEM) images of anther and pollen of Kempia longicolpites; Catefica locality, Portugal. a) Transverse section through an anther showing the four pollen sacs with in situ pollen; b) Pollen in situ from anther in (a) showing very long colpus and loosely attached reticulum; c) Detail of reticulum showing smooth muri supported by short, scattered columellae; d) Pollen grain from anther in (a) enlarged showing colpus extended beyond the equator and loosely attached reticulum; e) Detail of pollen wall showing thick, homogeneous foot layer, columellae and reticulate tectum; note remains of granular endexine (arrows) in the apertural region of the grain; f) Internal view of reticulum showing the short columellae adhering to the muri detached from the foot layer. Specimen, Catefica 49-S101208 (a–f). Scale bars = 100 Μm (a), 20 Μm (b), 6 Μm (d), 3 Μm (c, e, f).
Scaling the leaf length-times-width equation to predict total leaf area of shoots
<p><strong>Background and Aims:</strong> An individual plant consists of different-sized shoots, each of which consists of different-sized leaves. To predict plant-level physiological responses from the responses of individual leaves, modelling this within-shoot leaf size variation is necessary. Within-plant leaf trait variation has been well investigated in canopy photosynthesis models but less so in plant allometry. Therefore, integration of these two different approaches is needed.</p> <p><strong>Methods:</strong> We focused on an established leaf-level relationship that the area of an individual leaf lamina is proportional to the product of its length and width. The geometric interpretation of this equation is that different-sized leaf laminas from a single species share the same basic form. Based on this shared basic form, we synthesized a new length-times-width equation predicting total shoot leaf area from the collective dimensions of leaves that comprise a shoot. Furthermore, we showed that several previously established empirical relationships, including the allometric relationships between total shoot leaf area, maximum individual leaf length within the shoot and total leaf number of the shoot, can be unified under the same geometric argument. We tested the model predictions using five species, all of which have simple leaves, selected from diverse taxa (Magnoliids, monocots and eudicots) and from different growth forms (trees, erect herbs and rosette herbs).</p> <p><strong>Key Results:</strong> For all five species, the length-times-width equation explained within-species variation of total leaf area of a shoot with high accuracy (R2 &gt; 0.994). These strong relationships existed despite leaf dimensions scaling very differently between species. We also found good support for all derived predictions from the model (R2 &gt; 0.85).</p> <p><strong>Conclusions:</strong> Our model can be incorporated to improve previous models of allometry that do not consider within-shoot size variation of individual leaves, providing a cross-scale linkage between individual leaf-size variation and shoot-size variation.</p>
Stability of neutrino oscillation parameters at low energy scale with the variations of SUSY breaking scale under Renormalisation Group Equations
<pre>We discuss the stability of the neutrino oscillation parameters at low energy scale including self-complementarity (SC) relations among mixing angles under radiative corrections with the variation of SUSY breaking scale ($m_s$) in both normal and inverted hierarchical cases. We observe that the neutrino oscillation parameters including the SC relation maintains stability at the electroweak scale within $1\sigma$ range of the latest global fit data. NH case maintains more stability than IH case. All the numerical values related to the absolute neutrino masses viz., $\Sigma |m_i|$, $m_{\beta}$ and $m_{ \beta \beta}$ are found to lie below the observational upper bound.</pre>
Stability of neutrino oscillation parameters at low energy scale with the variations of SUSY breaking scale under Renormalisation Group Equations
<pre>We discuss the stability of the neutrino oscillation parameters at low energy scale including self-complementarity (SC) relations among mixing angles under radiative corrections with the variation of SUSY breaking scale ($m_s$) in both normal and inverted hierarchical cases. We observe that the neutrino oscillation parameters including the SC relation maintains stability at the electroweak scale within $1\sigma$ range of the latest global fit data. NH case maintains more stability than IH case. All the numerical values related to the absolute neutrino masses viz., $\Sigma |m_i|$, $m_{\beta}$ and $m_{ \beta \beta}$ are found to lie below the observational upper bound.</pre> <pre> </pre> <pre> </pre>
Stability of neutrino oscillation parameters at low energy scale with the variations of SUSY breaking scale under Renormalisation Group Equations
<pre>We discuss the stability of the neutrino oscillation parameters at low energy scale including self-complementarity (SC) relations among mixing angles under radiative corrections with the variation of SUSY breaking scale ($m_s$) in both normal and inverted hierarchical cases. We observe that the neutrino oscillation parameters including the SC relation maintains stability at the electroweak scale within $1\sigma$ range of the latest global fit data. NH case maintains more stability than IH case. All the numerical values related to the absolute neutrino masses viz., $\Sigma |m_i|$, $m_{\beta}$ and $m_{ \beta \beta}$ are found to lie below the observational upper bound.</pre>
Scaling the leaf length-times-width equation to predict total leaf area of shoots
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.