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50 results for “Fundamental Data”

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zenodo36/100

Data presented in "An ultracold molecular beam for testing fundamental physics"

<p>Data presented in &quot;An ultracold molecular beam for testing fundamental physics&quot;. The original paper can be found at&nbsp;https://doi.org/10.1088/2058-9565/ac107e. This is the data underlying the simulations and the experimental results.</p>

opencc-by-4.0Apr 2021View details →
dryad36/100

Fundamental mode Rayleigh wave group velocity dispersion data

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publicJun 2024View details →
dryad36/100

Data for: Fundamental interaction niches: towards a functional understanding of ecological networks’ resilience

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publicJun 2025View details →
dryad36/100

Data from: The fundamental role of character coding in Bayesian morphological phylogenetics

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publicFeb 2024View details →
dryad32/100

Data from: Experimental evidence for fundamental, and not realised, niche partitioning in a plant-herbivore community interaction network

Patterns of niche partitioning can result from local ecological interactions (e.g. interspecific competition) occurring within a contemporary time frame (realised niche partitioning). Alternatively they may represent the end-product of historical processes acting over long time frames (fundamental niche partitioning). Niche partitioning is often detected by analysing patterns of resource use within communities, but experiments are rarely conducted to test whether patterns of non-overlapping resource use reflect realised or fundamental niche partitioning. We studied a community of restio leafhoppers from the genus Cephalelus, and their host plants, the Restionaceae (restios). We used network and experimental approaches to determine whether network modularity (a measure of niche partitioning within local communities) reflects fundamental or realised niche partitioning. Using a weighted modularity index for two party networks (e.g. insect - plant) we determined whether the network of this community is modular (i.e. consists of groups of species interacting strongly, with weak interactions between groups). We also aimed to identify specific Cephalelus - restio modules (groups). Using knowledge of module membership to design experiments, we tested whether Cephalelus species from two different modules, C. uncinatus and C. pickeri, prefer and perform better on restios from their own modules versus restios from other modules. These experiments were performed under controlled conditions, eliminating the influences of competition and predation on host choices. The Cephalelus – restio community was modular, implying niche partitioning. Cephalelus also preferred and performed better on restios from their own modules in the absence of local contemporary factors. Most niche partitioning in the investigated Cephalelus community, is not caused by local interactions, and thus host use patterns represent fundamental niches. Our findings highlight the importance of understanding local community structure in the light of processes extrinsic to the local community context.

opencc-zeroDec 2015View details →
dryad32/100

Data from: Revisiting niche fundamentals with Tukey depth

The first attempts to describe species ecological niches were simple geometric procedures that depict the niche boundaries directly from environmental data. The convex hull was one of such procedures, popular for its simplicity, clear ecological rational and precise definition of the niche. However, it lacked the ability to differentiate areas of the niche with different probabilities of occurrence according to environmental suitability. We incorporate the Tukey depth, a mathematical tool to measure the centrality of a point within a cloud of points on a multidimensional space, in the convex hull approach to (i) propose a new procedure (CH‐Tukey) to estimate species' environmental suitability, and (ii) estimate niche overlap coherently. In addition to a clear ecological rational and simplicity the CH‐Tukey procedure has a number of attractive features: use of presence‐only data; independence from background data; invariance to scale; robustness to outliers; and the decomposition of the niche into a finite number of iso‐suitability levels, permitting the computation of consistent overlap indices. We illustrate the use of CH‐Tukey, using occurrence data of the main Quercus species and subspecies from Western Mediterranean Europe, comparing its outputs with BIOCLIM and MaxEnt. Results showed distinct niche geometries among the different approaches. BIOCLIM produced rectilinear niches reflecting the assumption that ecological variables are independent in their action on the species. CH‐Tukey, relaxing this assumption, adjusts niche outer boundary and the inner suitability levels to the known occurrences. MaxEnt produced unbounded niche geometries, showing abrupt shifts in the species response to the environmental variables. The niche predictions obtained with geometric approaches, BIOCLIM and CH‐Tukey, are simpler but better aligned with Hutchinson's niche concept than those obtained with MaxEnt, this latter showing ecologically implausible relationships with the environmental variables. CH‐Tukey and the related overlap measures provide an adequate tool to explore niche properties and species–environment relationships.

opencc-zeroDec 2017View details →
dryad32/100

Data from: Fundamental and realized feeding niche breadths of sexual and asexual stick insects

The factors contributing to the maintenance of sex over asexuality in natural populations remain unclear. Ecological divergences between sexual and asexual lineages could help to maintain reproductive polymorphisms, at least transiently, but the consequences of asexuality for the evolution of ecological niches are unknown. Here, we investigated how niche breadths change in transitions from sexual reproduction to asexuality. We used host plant ranges as a proxy to compare the realized feeding niche breadths of five independently derived asexual Timema stick insects' species and their sexual relatives at both the species and population levels. Asexual species had a systematically narrower realized niche than sexual species, though this pattern was not apparent at the population level. To investigate how the narrower realized niches of asexual species arise, we performed feeding experiments to estimate fundamental niche breadths but found no systematic differences between reproductive modes. The narrow realized niches found in asexual species are therefore likely a consequence of biotic interactions such as predation or competition, that constrain realized niche size in asexuals more strongly than in sexuals.

opencc-zeroDec 2017View details →
zenodo32/100

Data for Fundamental bounds on the fidelity of sensory cortical coding

<p>This website contains the data used for the publication:</p> <p>Rumyantsev, O. I., Lecoq, J. A., Hernandez, O., Zhang, Y., Savall, J., Chrapkiewicz, R., ... &amp; Schnitzer, M. J. (2020). Fundamental bounds on the fidelity of sensory cortical coding. <em>Nature</em>, <em>580</em>(7801), 100-105.</p>

opencc-by-4.0Jun 2024View details →
zenodo32/100

Supporting data for "Fundamental Investigations on the Ionic Transport and Thermodynamic Properties of Non-aqueous Potassium-Ion Electrolytes"

<p>This is the dataset of the electrochemical, densitometry&nbsp;and XPS data for our publication&nbsp;&quot;Fundamental Investigations on the Ionic Transport and Thermodynamic Properties of Non-aqueous Potassium-Ion Electrolytes&quot;. This archive contains the raw data and python scripts used in the analysis and modelling for the presentation of the results in this manuscript.</p> <p>Abstract of manuscript:</p> <p>Non-aqueous potassium-ion batteries (KIBs) represent a promising complementary technology to lithium-ion batteries due to the availability and low cost of potassium. Moreover, the lower charge density of K<sup>+</sup>&nbsp;compared to Li<sup>+</sup> favour the ion-transport properties in the liquid electrolyte solutions, thus, making KIBs potentially capable of improved rate capability and low-temperature performance. However, a comprehensive study of the ionic transport and thermodynamic properties of non-aqueous K-ion electrolyte solutions is not available. Here we report the full characterisation of the ionic transport and thermodynamic properties of a model non-aqueous K-ion electrolyte solution system comprising potassium bis(fluorosulfonyl)imide (KFSI) salt and 1,2-dimethoxyethane (DME) solvent and compare it with its Li-ion equivalent (i.e., LiFSI:DME), over the concentration range 0.25&ndash;2 molal. Using tailored K metal electrodes, we demonstrate that KFSI:DME electrolyte solutions show higher salt diffusion coefficients and cation transference numbers than LiFSI:DME solutions. Finally, via Doyle-Fuller-Newman (DFN) simulations, we investigate the K-ion and Li-ion storage properties for K||graphite and Li||graphite cells.</p>

opencc-by-4.0Jun 2023View details →
ClinicalTrials.gov32/100

China Nutrition Fundamental Data 2020

ClinicalTrials.gov study NCT05694104. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad32/100

Data from: Fundamental and realized feeding niche breadths of sexual and asexual stick insects

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publicNov 2018View details →
dryad32/100

Data from: Experimental evidence for fundamental, and not realised, niche partitioning in a plant-herbivore community interaction network

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publicApr 2017View details →
dryad32/100

Data from: Revisiting niche fundamentals with Tukey depth

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publicAug 2019View details →
dryad32/100

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

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publicSep 2016View details →
dryad28/100

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.

opencc-zeroAug 2020View details →
dryad28/100

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.

opencc-zeroDec 2012View details →
dryad28/100

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.

opencc-zeroDec 2018View details →
dryad28/100

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.

opencc-zeroDec 2016View details →
dryad28/100

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.

opencc-zeroDec 2015View details →
zenodo28/100

Singlets in gauge theories with fundamental matter - data release

<p>This release contains all data and metadata used to prepare the&nbsp;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>

opencc-by-4.0Jul 2023View 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