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6,175 results for “Composite”
Data from: Location, but not defensive genotype, determines ectomycorrhizal community composition in Scots pine (Pinus sylvestris L.) seedlings
<p class="western"><span><span><span>1. For successful colonisation of host roots, ectomycorrhizal (EM) fungi must overcome host defence systems, and <span>defensive phenotypes have previously been shown to affect the community composition of EM fungi associated with hosts</span>. Secondary metabolites, such as terpenes, form a core part of these defence systems, but it is not yet understood whether variation in these constitutive defences can result in variation in colonisation of hosts by specific fungal species.</span></span></span></p> <p class="western"><span>2. We planted seedlings from twelve maternal families of Scots pine (<i>Pinus sylvestris</i>) of known terpene genotype reciprocally in the field in each of six sites. After three months we characterised the mycorrhizal fungal community of each seedling using a combination of morphological categorisation and molecular barcoding, and assessed the terpene chemodiversity for a subset of the seedlings. We examined whether parental genotype or terpene chemodiversity affected the diversity or composition of a seedling's mycorrhizal community.</span></p> <p class="western"><span><span><span><span>3. While we found that terpene chemodiversity was highly heritable, w</span>e found no evidence that parental defensive genotypeor defensive phenoytpeaffected associations with EM fungi. Instead, we found that the location of seedlings, both <span>within and between sites</span>, was the only determinant of the diversity and makeup of EM communities.</span></span></span></p> <p class="western"><span><span><span>4. These results suggest that <span>while EM community composition varies within Scotland at both large and small scales</span>, variation in constitutive defensive compounds does not determine the EM communities of closely cohabiting pine seedlings. Patchy distributions of EM fungi at small scales may render any genetic variation in associations with different species unrealisable in field conditions. <span>The case for selection on traits mediating associations with specific fungal species may thus be overstated, at least in seedlings.</span></span></span></span></p>
Dataset - COMMIT: Consideration of metabolite leakage and community composition improves microbial community reconstructions
<p>Generated draft and consensus reconstructions for the manuscript "COMMIT: Consideration of metabolite leakage and community composition improves microbial community reconstructions" (Wendering & Nikoloski).</p>
The Surface Composition of Amino Acid - Halide Salt Solutions is pH-Dependent
<p>Set of raw data which has been used for the publication. In short, it's about how the pH of a mixed solution of an amino acid and an inorganic halogen salt impacts the surface propensity of the inorganic ions.</p>
101K workflow jobs dataset (1.2 million tasks); a composition of Epigenomics and Montage workflows
<p>This dataset contains detailed information about more than 101 thousand jobs with 1.2 million tasks. This dataset can be used in various simulation, training, and modelling processes. various information about each job is recorded and the underlying environment was based on IoT/Fog/Cloud in which IoT nodes only generate requests and Fog and Cloud nodes process these requests.</p>
Data from: Litter decomposition affected by bamboo expansion is modulated by litter-mixing and microbial composition
<p>Litter decomposition is a key ecosystem process that drives carbon (C) and nutrient cycling, which could be affected by shifts in plant community composition caused by plant invasion or expansion. However, how changes in leaf litter composition (e.g., litter-mixing effect) and soil microbial community induced by shift in plant community composition affect decomposition remains elusive.</p> <p>Here, by deploying 432 litterbags (50-μm mesh screen), we treated leaf litter of bamboo (<em>Phyllostachys edulis</em>) and tree species (in a mixture or alone) and decomposed them in forest sites expanded or not expanded by bamboo at three regions, to assess the effects of bamboo expansion on decomposition, microbial community structure and function.</p> <p>Bamboo expansion reduced microbial C to nitrogen (N) ratio and nutritional stress indicator (cy/pre), which was very likely ascribed to elevated N availability as a result of accelerated litter N release. The N loss of bamboo litter (28.1 ± 03%) was more than double of tree species litter (13.2 ± 3.1%), and decomposing litter of bamboo and tree species in a mixture increased litter N loss from 15.3± 3.1% to 25.9± 3.1% (by 69%). However, no consistent effect of litter type and litter treatment on C loss was observed. The non-additive litter-mixing effect is attributable to increased microbial nutrient use efficiency, which is illustrated by the interactive effect between litter treatment and cy/pre on decomposition. Moreover, the forest type interactively affected decomposition with cy/pre as ignoring litter treatment, where higher decay rate and litter N loss at bamboo expanded than non-expanded sites would be expected when both sites having comparable cy/pre, but the reality is that bamboo expansion tends to have lower cy/pre. These results imply a trade-off between introduced litter and nutrient use efficiency of local microbial community to drive decomposition.</p> <p>Our results demonstrate that litter decomposition affected by bamboo expansion was jointly modulated by litter-mixing and microbial composition, which sheds new insights on predicting changes in soil C and nutrient cycling induced by shifts in plant community composition.</p>
Elevated temperature and carbon dioxide levels alter growth rates and shell composition in the fluted giant clam, Tridacna squamosa
<p>We investigated the effects of 60-d exposure to end-of-the-century projections for seawater temperature (+3 °C) and <em>p</em>CO<sub>2</sub> (+500 µatm) on growth, mineralogy, and organic content of shells and scutes in juvenile <em>Tridacna squamosa </em>clams. The provided excel file contains tables supplying the following raw datasets:</p> <p>(1) Concentrations of trace minerals (Data_Minerals) in shells and scutes</p> <blockquote> <p><strong>IndividualID</strong> - unique ID for each juvenile <em>Tridacna squamosa</em> clam<br> <strong>Type</strong> - type of skeletal material sampled (New: newly-formed, Old: older-growth, Shell: shell, Scute: scute).<br> <strong>Exposure</strong> - experimental treatments (Ambient: ambient seawater conditions, High Temp: elevated temperature alone, High pCO2: elevated <em>p</em>CO<sub>2</sub> alone, Multistressor: elevated temperature and <em>p</em>CO<sub>2</sub> in combination).<br> <strong>SampleMass_mg</strong> - mass (in mg) of powdered skeletal material analyzed.<br> <strong>X_ppb</strong> - concentration (in parts per billion) of element X (Mg: Magnesium, Si: Silica, P: Phosphorus, K: Potassium, Mn: Manganese, As: Arsenic, Sr: Strontium, Ba: Barium, Ca: Calcium) in the sample.<br> <strong>X_mmol_kg-1</strong> - concentration (in mmol kg<sup>-1</sup>) of element X in the sample.<br> <strong>XCaRatio_mmol_mol-1</strong> - ratio of the concentrations of element X (in mmol) and calcium (in mol).<br> <strong>BaCaRatio_µmol_mol-1 </strong>- ratio of the concentrations of barium (in µmol) and calcium (in mol).</p> </blockquote> <p>(2) Morphometric characteristics (Data_Morphometry) of shells/scutes</p> <blockquote> <p><strong>IndividualID</strong> - unique ID for each juvenile <em>Tridacna squamosa</em> clam<br> <strong>Exposure</strong> - experimental treatments (Ambient: ambient seawater conditions, High Temp: elevated temperature alone, High pCO2: elevated <em>p</em>CO<sub>2</sub> alone, Multistressor: elevated temperature and <em>p</em>CO<sub>2</sub> in combination).<br> <strong>X_pre_mm</strong> - measurement value (in millimeters) prior to exposure to experimental treatments (APM: anterior-posterior margin or shell length, DVM: dorsal-ventral margin or shell height, OrnamentationMaxWidth: maximum width of the shell across the scutes, Width: shell width).<br> <strong>X_pre_g</strong> - measurement value (in grams) prior to exposure to experimental treatments (WetMass: whole animal wet mass).<br> <strong>X_post_mm</strong> - measurement value (in millimeters) after 60-d exposure to experimental treatments.<br> <strong>X_post_g</strong> - measurement value (in grams) after 60-d exposure to experimental treatments.<br> <strong>X_gain_mm</strong> - change in measurment value (in millimeters) over the course of the 60-d experiment.<br> <strong>X_gain_%change</strong> - change in measurment value over the course of the 60-d experiment as a percentage of the initial, pre-exposure value (i.e., % change).</p> </blockquote> <p>(3) Organic content (Data_Organics) of shells</p> <blockquote> <p><strong>IndividualID</strong> - unique ID for each juvenile <em>Tridacna squamosa</em> clam<br> <strong>Exposure</strong> - experimental treatments (Ambient: ambient seawater conditions, High Temp: elevated temperature alone, High pCO2: elevated <em>p</em>CO<sub>2</sub> alone, Multistressor: elevated temperature and <em>p</em>CO<sub>2</sub> in combination).<br> <strong>X-newgrowth_weight%</strong> - concentration of element X (Nitrogen, Carbon, or Hydrogen) as a percentage of the weight of sample analyzed in newly-formed shell.<br> <strong>X-oldgrowth_weight% </strong>- concentration of element X as a percentage of the weight of sample analyzed in older-growth shell.</p> </blockquote> <p> </p> <p> </p>
Images and data accompanying article: Remarkable response of hollow thermoplastic microspheres-elastomer matrix composites in uniaxial tension.
<p><strong>Images and data accompanying article:<br> Remarkable response of hollow thermoplastic microspheres-elastomer matrix composites in uniaxial tension.*</strong><br> <em>By Michel Coret, Erwan Verron & Pierre Rublon</em><br> <strong>(<a href="http://hal.archives-ouvertes.fr/hal-03480982">https://hal.archives-ouvertes.fr/hal-03480982</a>)</strong></p> <p><br> <strong>Abstract of the article</strong><br> In the last few years, the mechanical response of hollow thermoplastic micro-spheres-elastomer matrix composites has been investigated. The large majority of the studies focuses on their compressive properties and particularly on the stress-strain response. In the present paper, large strain uniaxial tension experiments are conducted on thermoplastic microspheres filled polyurethane elastomer. Six volume fractions of microspheres are considered. Thanks to a two-camera setup and digital image correlation measurements, the volumetric response of the materials is extensively analyzed. As a major result, the remarkable volumetric behaviour is highlighted: the hydrostatic pressure vs. volume change curves admit several extrema that may be read as the macroscopic signature of the complex microstructural phenomena involved during deformation. Moreover, it is shown that the size of the volumetric loading-unloading hysteresis loop is directly related to the volume fraction of microspheres in the materials.<br> Experimental test methodology is described within the article. The objective of the deposit is to share data.</p> <p><strong>Description of the deposit</strong><br> <strong>Objectives:</strong></p> <p>The objective of this deposit is to share all the data needed to retrieve the results presented in the article (<a href="http://hal.archives-ouvertes.fr/hal-03480982">https://hal.archives-ouvertes.fr/hal-03480982</a>). This deposit do not explain any experimental methodology, that can be found in the article.</p> <p><strong>Data overview:</strong></p> <ol> <li>The images taken during the tests (raw data)</li> <li>Force and displacement measured by the tensile machine (raw data).</li> <li>Surface strain field on face and lateral sides of the tensile specimen (obtain by Digital Image Correlation)</li> <li>Averaged and filtered</li> </ol> <p><strong>Data description:</strong><br> 1. Image directories:<strong> "YY/MM/DD_poro_xx_spec_nn"</strong></p> <ul> <li> YY/MM/DD: date of the test</li> <li> xx: specimen porosity (can be one of these values [0, 05, 10, 15, 20, 25] in %)</li> <li> nn: Specimen number</li> </ul> <p> In each directory you will find:</p> <ul> <li> YY/MM/DD_poro_xx_spec_nn-aaaaa_0.tif (face side *aaaaa* image)</li> <li> YY/MM/DD_poro_xx_spec_nn-bbbbb_1.tif (lateral side *bbbbb* image</li> <li> YY/MM/DD_poro_xx_spec_nn.csv (Synchronized analogic data with images) <ul> <li>Column A: Image n°</li> <li>Columns B & C: Image file name</li> <li>Columns D & E: Timestamp</li> <li>Columns F & G: Analog data (Volts)</li> <li>Column H: Position of the jack (millimeter)</li> <li>Column I: Measured force (N)</li> </ul> </li> </ul> <p>2. Scalar data directory: <strong>Data_csv/</strong></p> <ul> <li><strong>DIC</strong>: strain average results from digital image correlation on face side (axis xy) and lateral side (axis yz) <ul> <li>Column A: Image n°</li> <li>Column B, C, D (Hencky strains): exx, eyy & exy</li> <li>Column E, F (Hencky eigen strains): e1 & e2</li> </ul> </li> </ul> <p> </p> <ul> <li><strong>Machine</strong>: displacement and force from tensile machine for each image <ul> <li>Column A: Image n°</li> <li>Columns B & C: Image file name</li> <li>Columns D & E: Timestamp</li> <li>Columns F & G: Analog data (Volts)</li> <li>Column H: Position of the jack (millimeter)</li> <li>Column I: Measured force (N)</li> </ul> </li> </ul> <p> </p> <ul> <li><strong>Post</strong>: Average + smoothed data for each porosities <ul> <li>Column A: Longitudinal stretch <span class="math-tex">\(\lambda\)</span></li> <li>Column B: Nominal stress P</li> <li>Column C: Lateral stretch ratio <span class="math-tex">\(\lambda_w=\lambda_t\)</span><br> </li> </ul> </li> </ul>
Isotopic Fuel Compositions in the Sangamon200 Model
<p>The seven csv files each correspond to a different level of fuel burnup in the Sangamon200 (a 200 MWth pebble-bed HTGR) fuel pebbles. fresh_comp.csv provides the composition for UCO in fresh pebbles. 1pass_comp.csv provides the fuel composition in pebbles that have gone through one six month pass, 2pass_comp.csv have been through two six month passes, and so forth.</p>
Development of Novel Ultra-High Performance Engineered Cementitious Composites (UHP-ECC) for Durable and Resilient Transportation Infrastructure
<p>The objective of this study was to develop novel UHP-ECC materials utilizing readily available ingredients in Region 6 for the construction and repair of transportation infrastructure. Phase one of this study focused on the development of ultra-high strength cementitious matrices by evaluating the effects of ingredient selection and mixture proportioning on the materials’ compressive strength. Variables evaluated included the mass ratios of silica fume to fly ash (SF/FA), supplementary cementitious materials to cement (SCMs/C), and ordinary sand to microsilica sand (OS/MS). Phase two of the study focused on the development of UHP-ECC materials. To this end, based on the knowledge gained from phase one, two ultra-high strength cementitious matrices (one with and one without SF) were formulated and their fracture properties were evaluated through fracture toughness test. Furthermore, fiber-bridging properties of ultra-high-molecular-weight (UHMW) polyethylene (PE) fiber in the developed cementitious matrices were evaluated through single crack tensile test (SCTT). Four different composites were produced by reinforcing the selected cementitious matrices with 1.5 and 2 vol.% UHMW PE fiber. Fresh and hardened properties of the developed composites were assessed by means of flowability test, compressive strength test, uniaxial tensile test, and flexural performance test. Results from phase one showed that SF/FA had the most relevant effect on compressive strength, followed by SCMs/C, and OS/MS. Furthermore, increments in SF/FA produced improvements in strength, whereas increments in SCMs/C and OS/MS reduced strength. Experimental results from phase two indicated that the use of SF and the increase in fiber content generally had a negative effect on the fresh and hardened properties of the composites. These observations were credited to a worsening fiber distribution when using silica fume and/or increasing fiber content. Three UHP-ECC materials utilizing readily available ingredients were successfully developed (i.e., mixtures FA25-f1.5, FA25-f2, and FA20SF5-f2). These materials simultaneously exhibited ultra-high compressive strength (>120 MPa) and ECC-like ductility (tensile strain capacity >2%). The average crack width for all mixtures ranged between 61-131 μm. Mixture FA25-f1.5, which displayed the best mechanical properties, exhibited a compressive strength of 133.1 MPa, flexural strength of 21.4 MPa, tensile strength of 10.3 MPa, tensile strain capacity of 4.3%, and an average crack width of 115.3 μm. Importantly, this mixture did not incorporate silica fume or microsilica sand and used low fiber content (i.e., 1.5 vol.%).</p>
Fig. 1 in The Diversity And Species Composition Of Water Beetles (Gyrinidae, Dytiscidae, Hydrophilidae) In A Peat Bog In Belarus
Fig. 1. Study area and the sampling places: L — Lakes, H — Hollows, S — Streams.
Seasonal weight loss effect in the hepatic fatty acid composition in Australian Merino, Damara and Dorper sheep
<p>Seasonal weight loss (SWL) is one of the major limitations in small ruminant production in drought-prone regions. The study of breeds with higher tolerance to the effects of SWL is particularly important to define breed selection strategies. In this work we evaluated the effect of SWL in the hepatic fatty acids profile in three ovine breeds with different levels of tolerance: the Merino (susceptible to SWL), the Dorper (intermediate tolerant to SWL), and Damara (tolerant to SWL). </p>
Flexible diets enable pollinators to cope with changes in plant community composition
<p><span>Switching plant species visited by pollinators (partner flexibility), has been proposed as a behavioural mechanism able to attenuate the negative impacts of shifts in plant communities on pollination. However, it is unclear if the magnitude of such response is generalizable or depends on the environmental context. Moreover, the ability of pollinators to exploit plants with dissimilar traits (trait flexibility) has been overlooked, even though it can affect the spectrum of new partners available. </span></p> <p><span>To shed some light on this problem, we quantified partner and trait flexibility in five communities from four different environments, from Alpine to semi-arid. We evaluated if the rate at which pollinators incorporated new plant species throughout the flowering season was similar across communities or context-dependent. Then, we assessed if pollinators changed the type of flowers visited and if such trait flexibility was related to their capacity to visit new plant species. Finally, we developed an agent-based model to explore if diet flexibility can protect pollination when the plant community changes. To this end, we used scenarios of phenological decoupling.</span></p> <p><span>In general, pollinators switched interaction partners to cope with the temporal replacement of plant species. Yet, the magnitude of such behaviour varied across communities, probably in response to differences in the number of floral resources available. Also, pollinators were able to visit plant species with dissimilar traits, though both components of diet flexibility (partner identity and traits) did not necessarily covary. Thus, to have a full picture of pollinators' diet flexibility we need to consider the floral traits of partners. Finally, our theoretical model shows that diet flexibility can protect pollination after shifts in plant communities; but that such positive effects are limited by trait-matching between co-occurring species.</span></p> <p><span><span>Overall, our study highlights the importance of incorporating plant traits when evaluating the ability of pollinators to find new interaction partners. Besides, our simulation results suggest that diet flexibility may not unequivocally protect pollination against changes in plant communities, especially if they entail shifts in the characteristics of the floral assemblage, and hence, the ability of pollinators to find new interaction partners can be compromised.</span></span></p>
Resilient 3D-Printed Infrastructure with Engineered Cementitious Composites (ECC)
<p>Conventional construction of reinforced concrete structures is slow, labor-intensive, and expensive. 3D printing holds great potential to assist engineers and architects in constructing fast and economical yet complex representational infrastructures. One of the most significant barriers to the broader adoption of concrete 3D printing in civil infrastructure is the difficulty of providing printed structural components with reinforcement to achieve sound structural performance under different loading conditions. Hence, it is essential to design concrete that can be utilized as a rebar-free material by considering strength and ductility. Recently, the development of Engineered Cementitious Composites (ECC) has neared the possibility to achieve both strength and ductility in the concrete structures without embedding steel reinforcement. ECC has been offered to enhance the problem related to the ductility and low tensile strength of traditional concrete and Fiber Reinforced Composite (FRC). As such, the implementation of intrinsically reinforced cementitious materials has the potential to address this barrier in the reinforcement of 3D-printed concrete and yields significant benefits such as an enhanced structural capacity, durability, and resiliency. This project proposes the development of ECC materials utilizing readily available ingredients in Region 6 with rheological characteristics tailored specifically for 3D printing applications. Furthermore, the project aims to conduct a comprehensive evaluation of the hardened properties of 3D-printed ECC specimens, including mechanical tests.</p>
The influence of predator community composition on photoprotective traits of copepods
<p>Trait expression of natural populations often jointly depends on prevailing abiotic environmental conditions and predation risk. Copepods, for example, can vary their expression of compounds that confer protection against ultraviolet radiation (UVR), such as astaxanthin and mycosporine-like amino acids (MAAs), in relation to predation risk. Despite ample evidence that copepods accumulate less astaxanthin in the presence of predators, little is known about how the community composition of planktivorous fish can affect the overall expression of photoprotective compounds. Here, we investigate how the (co-)occurrence of Arctic charr (Salvelinus alpinus) and threespine stickleback (Gasterosteus aculeatus) affect the photoprotective phenotype of the copepod Leptodiaptomus minutus in lake ecosystems in southern Greenland. We found that average astaxanthin and MAA contents were lowest in lakes with stickleback, but we found no evidence that these photoprotective compounds were affected by the presence of charr. Furthermore, variance in astaxanthin among individual copepods was greatest in the presence of stickleback and the astaxanthin content of copepods was negatively correlated with increasing stickleback density. Overall, we show that the presence and density of stickleback jointly affect the content of photoprotective compounds by copepods, illustrating how the community composition of predators in an ecosystem can determine the expression of prey traits that are also influenced by abiotic stressors. --</p>
Trends in functional composition of small mammal communities across millennial time scales
<p>Rich fossil deposits of the late Quaternary help us understand responses of biodiversity to global change and thus predict the future of ecosystems. Studies from the late Quaternary, however, are often limited taxonomically, geographically (often one site), and by their use of largely taxon-based metrics that do not inform about ecosystem-level consequences of biodiversity change. Here, we compare change in functional composition of small mammal communities at El Mirón Cave (Spain) and Samwell Cave (California, USA) across the last 22,000 years, and examine their relationships with climate and vegetation. We find opposing temporal trends between the two locations. European small mammal communities occupied increasingly greater trait space, driven by increases in arboreal granivory and frugivory as ground-dwelling herbivory declined toward the late Holocene. North American communities occupied smaller trait space as ground-level foraging and insectivory increased and arboreal herbivory and mean body mass declined. Our results point to the importance of the interaction between climate change and vegetation shifts for explaining changes in small mammal functional diversity, through their synergistic impacts on individual traits. Specifically, increasing temperature across both continents likely led to increases in nocturnal activity and declines in assemblage mean body mass, while transition to mixed forest (El Mirón) or open woodland (Samwell) resulted in increasing structural complexity of vegetation that potentially supported more diverse community-level dietary characteristics. These results demonstrate the ability of a trait-based approach to identify how environmental variables correlate with changes in community functional composition through time and gain insight into the potential consequences of environmental change for ecosystem functioning.</p>
X-ray computed tomography aided engineering approach for non-crimp fabric reinforced composites [Data set]
<p>The finite element models behind the publication</p> <p>Auenhammer, R.M., Jeppesen, N., Mikkelsen, L.P., Dahl, V.A., Blinzler, B.J., Asp, L.E. Robust numerical analysis of fibrous composites from X-ray computed tomography image data enabling low resolutions, <em>Composites Science and Technology, </em><strong>224</strong>, 109458, <a href="https://doi.org/10.1016/j.compscitech.2022.109458">https://doi.org/10.1016/j.compscitech.2022.109458</a>, 2022. </p> <p>The x-ray scan data which the model is based on can be found in the following publication:</p> <p>Jeppesen, N., V.A. Dahl, A.N. Christensen, A.B. Dahl, L.P. Mikkelsen, Characterization of the fiber orientations in non-crimp glass fiber reinforced composites using structure tensor. IOP Conf. Ser.: Mater. Sci. Eng. 942, 012037, <a href="https://doi.org/10.1088/1757-899X/942/1/012037">https://doi.org/10.1088/1757-899X/942/1/012037</a> 2020</p> <p>and data-set</p> <p>Jeppesen N, Dahl V A, Christensen A N, Dahl A B and Mikkelsen L P 2020 Characterization of the fiber orientations in non-crimp glass fiber reinforced composites using structure tensor [data set] Zenodo. <a href="http://dx.doi.org/10.5281/zenodo.3877522">http://dx.doi.org/10.5281/zenodo.3877522.</a></p> <p> </p>
The Relations between Summer Droughts/Floods and Oxygen Isotope Composition of Precipitation in Dongting Lake Basin
<p>This is the precipitation amount and stable isotope composition of precipitation data on monthly timescale from Jan 1979 to Dec 2017 over the Dongting Lake Basin, Central-shouthern China. This is simulated data from isoGSM2.</p> <p> </p>
Quantitative assessment of trace and macro element compositions of Cassava (Manihot esculenta) storage roots enriched with Β-Carotene as influenced by genotypes and growing locations
Cassava's important mineral contents depends on some factors, including genetic and growing locational factors. The study aimed to evaluate the influence of genotype and growing locations on the mineral concentrations in yellow-fleshed cassava root genotypes. Twenty-five pipeline yellow-fleshed cassava genotypes and three white-fleshed varieties (check samples) were planted at five different experimental fields for two seasons, each representing the major agroecological zones in Nigeria. Standard laboratory protocols were employed in the sampling to ensure zero contamination, and the trace and macro elements were determined using the inductively coupled plasma optical emission spectroscopic method (ICPOES). The trace and macro elements identified in all the genotypes and varieties investigated were Fe, Mn, B, Cu, Mo, Co, Ni, Zn, and Al; Ca, Mg, Na, K. P, and S respectively. Genotype and growing location had a highly significant (p < 0.05) effect on all the trace elements except Ti and Cr. However, there was no interactive effect between genotype and growing location on all the trace elements except for Pb and Zn. Among the explanatory variables, the variable growing location was the most influential on macro and trace elements. Conclusively, genotypes 01/1442 and 01/1273 have outstanding trace and macro element concentrations.
Dataset for publication: "Design and Verification of a Calculable Composite Voltage Calibrator"
<p>Dataset for publication: "Design and Verification of a Calculable Composite Voltage Calibrator". Excel file contains the data for Figures 5, 8, and 9.</p>
Origin of the species richness and composition of Caribbean aquatic entomofauna
<p><span>From a literature review, we constructed a database yielding comprising >1000 freshwater insect species (especially Odonata, Coleoptera, Trichoptera, Ephemeroptera; OCTE) in 26 Geographical Caribbean Units (GCU) and quantified local filtering (climate heterogeneity, annual rainfall, annual temperature), geography (area, distance from the mainland) and emergence age as a proxy for island ontogeny. We investigated the relative role of these variables on the species richness, endemism and composition of the units using island species-area relationship (ISAR), generalised linear modelling (GLM) and nonmetric multidimensional scaling (NMDS). In addition, we analysed the spatial patterns of species richness and composition using Moran's I index. ISAR generally demonstrated one or two thresholds and continuous or discontinuous responses according to OCTE groups. A small island effect could be detected for Trichoptera and Ephemeroptera richness, whereas Odonata and Coleoptera only demonstrated differences in slope between smaller and larger GCUs. Area, climate heterogeneity, maximal rainfall and distance from mainland were major drivers of species composition in GCUs, whereas local climate variables were of main importance for the endemism rate. Due to the potential complexity of the Caribbean island ontogeny, middle-stage islands had an expected higher freshwater invertebrate richness than younger ones but an unexpected lower richness compared to older islands. Finally, the degree of colonization of islands was linked to the dispersal ability of species, with Odonata and Coleoptera having larger distribution ranges than Trichoptera and Ephemeroptera, which were </span>more <span>restricted by their comparatively narrow ecological niches</span><span>. The high endemism (>60%) found in the Caribbean freshwaters calls for more conservation effort in managing these highly threatened freshwater environments.</span>To assess the relative contribution of geographical (area, distance from mainland) and local filtering variables (e.g., climate heterogeneity) to the species richness, endemism and composition of Caribbean aquatic entomofauna.</p>
ScienceDex guides
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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.