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.
204
datasets available to search
ShareScore release 0.9.0
Dataset results
204 results for “fundamental”
Data from: Experimental evidence for fundamental, and not realised, niche partitioning in a plant-herbivore community interaction network
Open the record for dataset details and reuse information.
Data from: Revisiting niche fundamentals with Tukey depth
Open the record for dataset details and reuse information.
Fundamental niche narrows through larval stages of a filter-feeding marine invertebrate
Open the record for dataset details and reuse information.
Data from: Similar but different: dynamic social network analysis highlights fundamental differences between the fission-fusion societies of two equid species, the onager and Grevy's zebra
Open the record for dataset details and reuse information.
Data from: Disentangling the fundamental branching patterns of phylogenetic divergence to refine eco-phylogenetic analyses
Aim: Previous studies have shown that phylogenetic divergence (i.e. the average phylogenetic displacement between species in a community) is highly sensitive to the underlying branching patterns of phylogenies, suggesting that there is a need to integrate both facets of phylogenic information to obtain a better understanding of assemblage structure. Here, we formally conceptualize the three fundamental branching patterns that can drive phylogenetic divergence, and propose a method to identify their signature in the communities based on the MPD (mean pairwise distance) metric. Location: Global. Taxa: All. Methods: Our approach consists on the joint interpretation of two MPD-derived metrics that summarize the differential contribution of individual phylogenetic branches to the observed divergence, which serves to evaluate to what extent the later emerges from contrasting branching patterns. We conduct simulation analyses to compare our two metrics with eight classical descriptors of phylogenetic structure, and use multi-strata tropical plant communities along a gradient of land-use intensity (LUI) to further illustrate our method. Results: As expected, our metrics correlated to some extent with the classical descriptors of phylogenetic structure, although the relationships were complex and varied systematically with species richness and the specific combination of metric values considered. Consequently, the information provided by our two indexes was only partially captured by their most correlated classical descriptors. We detected differential signatures of the fundamental branching patterns in our real-world dataset, either across vegetation strata and also within strata along the LUI gradient, which provided greater insight into potential assembly mechanisms. Main conclusions: While the sole use of phylogenetic divergence may lead to spurious interpretations in eco-phylogenetic studies, our approach can help to obtain a better understanding of assemblage structure by systematically analyzing phylogenetic divergence in the light of its fundamental branching patterns.
Data from: Dancing together and separate again: gymnosperms exhibit frequent changes of fundamental 5S and 35S rRNA genes (rDNA) organisation
In higher eukaryotes, the 5S rRNA genes occur in tandem units and are arranged either separately (S-type arrangement) or linked to other repeated genes, in most cases to rDNA locus encoding 18S–5.8S–26S genes (L-type arrangement). Here we used Southern blot hybridisation, PCR and sequencing approaches to analyse genomic organisation of rRNA genes in all large gymnosperm groups, including Coniferales, Ginkgoales, Gnetales and Cycadales. The data are provided for 27 species (21 genera). The 5S units linked to the 35S rDNA units occur in some but not all Gnetales, Coniferales and in Ginkgo (~30% of the species analysed), while the remaining exhibit separate organisation. The linked 5S rRNA genes may occur as single-copy insertions or as short tandems embedded in the 26S–18S rDNA intergenic spacer (IGS). The 5S transcript may be encoded by the same (Ginkgo, Ephedra) or opposite (Podocarpus) DNA strand as the 18S–5.8S–26S genes. In addition, pseudogenised 5S copies were also found in some IGS types. Both L- and S-type units have been largely homogenised across the genomes. Phylogenetic relationships based on the comparison of 5S coding sequences suggest that the 5S genes independently inserted IGS at least three times in the course of gymnosperm evolution. Frequent transpositions and rearrangements of basic units indicate relatively relaxed selection pressures imposed on genomic organisation of 5S genes in plants.
Data from: Shifts along parasite-mutualist continuum are opposed by fundamental trade-offs
Theory suggests that symbionts can readily evolve more parasitic or mutualistic strategies with respect to hosts. However, many symbionts have stable interactions with hosts that improve nutrient assimilation or confer protection from pathogens. We explored the potential for evolution of increased parasitism or decreased parasitism and mutualism in a natural gut symbiosis between larvae of Plutella xylostella and the microbe Enterobacter cloacae. We focused on interactions with the pathogen, Bacillus thuringiensis: selecting for parasitism in terms of facilitating pathogen infection, or increased mutualism in terms of host protection. Selection for parasitism led to symbionts increasing pathogen-induced mortality, but reduced their competitive ability with pathogens and their in vitro growth rates. Symbionts did not evolve to confer protection from pathogens. However, several lineages evolved reduced parasitism, primarily in terms of moderating impacts on host growth, potentially because prudence pays dividends through increased host size. Overall, evolution of increased parasitism was achievable but was opposed by trade-offs likely to reduce fitness. The evolution of protection may not have occurred because suppressing growth of B. thuringiensis in the gut might provide only weak protection or because evolution towards protective interactions was opposed by loss of competitive fitness in symbionts.
Data from: Fundamental activity constraints lead to specific interpretations of the connectome
The continuous integration of experimental data into coherent models of the brain is an increasing challenge of modern neuroscience. Such models provide a bridge between structure and activity, and identify the mechanisms giving rise to experimental observations. Nevertheless, structurally realistic network models of spiking neurons are necessarily underconstrained even if experimental data on brain connectivity are incorporated to the best of our knowledge. Guided by physiological observations, any model must therefore explore the parameter ranges within the uncertainty of the data. Based on simulation results alone, however, the mechanisms underlying stable and physiologically realistic activity often remain obscure. We here employ a mean-field reduction of the dynamics, which allows us to include activity constraints into the process of model construction. We shape the phase space of a multi-scale network model of the vision-related areas of macaque cortex by systematically refining its connectivity. Fundamental constraints on the activity, i.e., prohibiting quiescence and requiring global stability, prove sufficient to obtain realistic layer- and area-specific activity. Only small adaptations of the structure are required, showing that the network operates close to an instability. The procedure identifies components of the network critical to its collective dynamics and creates hypotheses for structural data and future experiments. The method can be applied to networks involving any neuron model with a known gain function.
Data from: Sexual selection on male vocal fundamental frequency in humans and other anthropoids
In many primates, including humans, the vocalizations of males and females differ dramatically, with male vocalizations and vocal anatomy often seeming to exaggerate apparent body size. These traits may be favoured by sexual selection because low-frequency male vocalizations intimidate rivals and/or attract females, but this hypothesis has not been systematically tested across primates, nor is it clear why competitors and potential mates should attend to vocalization frequencies. Here we show across anthropoids that sexual dimorphism in fundamental frequency (F0) increased during evolutionary transitions towards polygyny, and decreased during transitions towards monogamy. Surprisingly, humans exhibit greater F0 sexual dimorphism than any other ape. We also show that low-F0 vocalizations predict perceptions of men's dominance and attractiveness, and predict hormone profiles (low cortisol and high testosterone) related to immune function. These results suggest that low male F0 signals condition to competitors and mates, and evolved in male anthropoids in response to the intensity of mating competition.
THE FUNDAMENTAL AND PHILOSOPHICAL FOUNDATIONS OF ENTREPRENEURSHIP
Open the record for dataset details and reuse information.
FIGURE 1 in The fundamental karyotype and plastid DNA of Alstroemeria piperata (Liliales, Alstroemeriaceae), a species endemic to the Valparaíso Region, Chile
FIGURE 1. Flowers of Alstroemeria piperata.
FIGURE 4 in The fundamental karyotype and plastid DNA of Alstroemeria piperata (Liliales, Alstroemeriaceae), a species endemic to the Valparaíso Region, Chile
FIGURE 4. Metaphase of Alstroemeria piperata. Scale 10 µm.
FIGURE 3 in The fundamental karyotype and plastid DNA of Alstroemeria piperata (Liliales, Alstroemeriaceae), a species endemic to the Valparaíso Region, Chile
FIGURE 3. Storage roots of Alstroemeria piperata.
FIGURE 2 in The fundamental karyotype and plastid DNA of Alstroemeria piperata (Liliales, Alstroemeriaceae), a species endemic to the Valparaíso Region, Chile
FIGURE 2. Habitat of Alstroemeria piperata.
Singlets in gauge theories with fundamental matter - data release
<p>This release contains all data and metadata used to prepare the publication <a href="https://doi.org/10.48550/arXiv.2304.07191">Singlets in gauge theories with fundamental matter</a>.</p><p>Further details are given in the file README.md.</p>
On fundamentals of solar cells
<p>1. El diodo</p> <p>2. La curva I-V de una célula solar</p> <p>3. La Voc disminuye con la temperatura</p> <p>4. La unión PN en el diagrama de bandas</p> <p>5. El efecto Staebler-Wronsky</p> <p>6. La eficiencia cuántica</p>
Fundamental interactions between carbon nanotubes
<p><strong>Fundamental interactions between carbon nanotubes</strong></p> <p>Junjie Chen</p> <p>Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p> <p>Contributor: Junjie Chen, ORCID: 0000-0002-5022-6863, E-mail address: koncjj@gmail.com</p> <p> </p> <p>Elemental carbon exists in several forms, each of which has its own physical characteristics. Two of its well-defined forms, diamond and graphite, are crystalline in structure, but they differ in physical properties because the arrangements of the atoms in their structures are dissimilar. A third form, called fullerene, consists of a variety of molecules composed entirely of carbon. Spheroidal, closed-cage fullerenes are called buckerminsterfullerenes, or buckyballs, and cylindrical fullerenes are called nanotubes. A fourth form, called Q-carbon, is crystalline and magnetic. Yet another form, called amorphous carbon, has no crystalline structure. Other forms, such as carbon black, charcoal, lampblack, coal, and coke, are sometimes called amorphous, but X-ray examination has revealed that these substances do possess a low degree of crystallinity. Diamond and graphite occur naturally on Earth, and they also can be produced synthetically; they are chemically inert but do combine with oxygen at high temperatures, just as amorphous carbon does. Fullerene was serendipitously discovered in 1985 as a synthetic product in the course of laboratory experiments to simulate the chemistry in the atmosphere of giant stars. It was later found to occur naturally in tiny amounts on Earth and in meteorites. Q-carbon is also synthetic, but scientists have speculated that it could form within the hot environments of some planetary cores. Pure diamond is the hardest naturally occurring substance known and is a poor conductor of electricity. Graphite, on the other hand, is a soft slippery solid that is a good conductor of both heat and electricity. Carbon as diamond is the most expensive and brilliant of all the natural gemstones and the hardest of the naturally occurring abrasives. Molecules of fullerene show promise in a range of applications, including high-tensile-strength materials, unique electronic and energy-storage devices, and safe encapsulation of flammable gases, such as hydrogen. Q-carbon, which is created by rapidly cooling a sample of elemental carbon whose temperature has been raised to 4,000 degrees kelvin, is harder than diamond, and it can be used to manufacture diamond structures (such as diamond films and microneedles) within its matrix. Elemental carbon is nontoxic. Each of the amorphous forms of carbon has its own specific character, and, hence, each has its own particular applications. All are products of oxidation and other forms of decomposition of organic compounds. Carbon, either elemental or combined, is usually determined quantitatively by conversion to carbon dioxide gas, which can then be absorbed by other chemicals to give either a weighable product or a solution with acidic properties that can be titrated. When an element exists in more than one crystalline form, those forms are called allotropes; the two most common allotropes of carbon are diamond and graphite. The crystal structure of diamond is an infinite three-dimensional array of carbon atoms, each of which forms a structure in which each of the bonds makes equal angles with its neighbors. If the ends of the bonds are connected, the structure is that of a tetrahedron, a three-sided pyramid of four faces. Every carbon atom is covalently bonded at the four corners of the tetrahedron to four other carbon atoms. The space lattice of the diamond can be visualized as carbon atoms in puckered hexagonal rings that lie roughly in one plane, the natural cleavage plane of the crystal; and these sheets of hexagonal, puckered rings are stacked in such a way that the atoms in every fourth layer lie in the same position as those in the first layer. The extreme hardness, the high sublimation temperature, the presumed extremely high melting point, and the reduced chemical reactivity and insulating properties are all reasonable consequences of the crystal structure.</p>
FUNDAMENTAL GUIDELINES FOR EXPLAINING CONCEPT
Open the record for dataset details and reuse information.
Fundamental aspects to localize self-catalyzed III-V nanowires on silicon
<p>Compressed zip files includes AFM raw data files, SEM images, Simulation codes.</p>
FUNDAMENTALS OF SPEECH CULTURE AND ORATORY SKILLS
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.