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6,175 results for “Composite”
Linked collectors and determiners for: Phytoplankton community composition in the water column of East Greenland fjords, August 2022.
Natural history specimen data linked to collectors and determiners held within, "Phytoplankton community composition in the water column of East Greenland fjords, August 2022". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="http://bionomia.net/dataset/a00e14eb-3398-4c40-87f6-41e78081e7ef">https://bionomia.net/dataset/a00e14eb-3398-4c40-87f6-41e78081e7ef</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/a00e14eb-3398-4c40-87f6-41e78081e7ef">https://gbif.org/dataset/a00e14eb-3398-4c40-87f6-41e78081e7ef</a>. Formatted as a Frictionless Data package.
Figure 1 in Daily activity rhythm of the African stingless bee Hypotrigona gribodoi (Hymenoptera: Meliponini) in the dry season, with notes on nest structure and colony composition
Figure 1. Numbers of bees departing from the nest (black) and returning throughout daylight hours. Returning bees are separated into those without (white) and with (gray) loaded pollen baskets
FIGURE 15 in X-ray Microanalysis and the Chemical Elemental Composition of Gorgonian and Pennatulacean Axial Structures (Anthozoa, Octocorallia)
FIGURE 15. Line chart of the between-taxa elemental weight percentage comparison of both gorgonians and sea pens
FIGURE 12 in X-ray Microanalysis and the Chemical Elemental Composition of Gorgonian and Pennatulacean Axial Structures (Anthozoa, Octocorallia)
FIGURE 12. Energy dispersive spectrometer (EDS) linescan dataset. (A) EDS linescan site of interest BSE image in a cross-sectional view of a sea pen Stylatula sp. axial skeleton acquired by INCA Energy software using same region as Figure 11, horizontal linescan through the middle of the axis was applied for EDS analysis to examine the distribution of elements along the line. Scale bar = 900 μm. (B) Element linescan result displaying grouped linescans as colored: carbon (red), oxygen (orange), fluorine (yellow), sodium (green), magnesium (light green), aluminum (bright green), silicon (aqua), sulfur (light blue), calcium (blue), strontium (pink), ytterbium (purple), iron (hot pink).
FIGURE 10 in X-ray Microanalysis and the Chemical Elemental Composition of Gorgonian and Pennatulacean Axial Structures (Anthozoa, Octocorallia)
FIGURE 10. Energy dispersive spectrometer (EDS) linescan dataset. (A) EDS linescan site of interest BSE image in a cross-sectional view of a sea pen Virgularia sp. axial skeleton acquired by INCA Energy software using same region as Figure 9, horizontal linescan through the middle of the axis was applied for EDS analysis to examine the distribution of elements along the line. (B) Element linescan result displaying grouped linescans as colored: carbon (purple), oxygen (bright green), fluorine (pink), sodium (blue), magnesium (green), sulfur (teal), chlorine (red), calcium (light green), ytterbium (gold). (C) Sum spectrum of the linescan. Scale bar = 1 mm. (D) Bar chart of the quantitative results from the sum spectrum.
FIGURE 9 in X-ray Microanalysis and the Chemical Elemental Composition of Gorgonian and Pennatulacean Axial Structures (Anthozoa, Octocorallia)
FIGURE 9. Scanning electron microscope (SEM) micrographs of a cross-sectional view of a sea pen Virgularia sp. axial skeleton. (A) In this secondary electron (SE) image a great degree of the radiating patterns well-arranged across the whole axial surface can be observed, such character is also used in the morphological phylogenetic studies of the calcaxonian gorgonians and sea pens. Scale bar = 200 μm. (B) Back-scattered electron (BSE) image. There seemed to be some chemical composition contrast appearing darker in the central portion of the axis, though several between-site area scans were performed, yet no differences in chemical composition can be found (data not shown); however, the between-site changes on weight percentage value of some elements can be detected as shown in the next Figure 10B. Scale bar = 200 μm.
FIGURE 5 in X-ray Microanalysis and the Chemical Elemental Composition of Gorgonian and Pennatulacean Axial Structures (Anthozoa, Octocorallia)
FIGURE 5. Scanning electron microscope (SEM) micrographs of a cross-sectional view of a gorgonian Ellisella sp. axial skeleton. (A) Secondary electron (SE) image. The axis of Ellisella sp. is featured by the concentric growth rings resembling that in trees, also by the slightly radiating patterns on the surface. These characters are useful for comparative morphology studies on calcaxonian gorgonians and sea pens. Scale bar = 200 μm. (B) Back-scattered electron (BSE) image. The compositional change is minute since again no detectable contrast is observed in the image though the topographical contrast is apparent like that in the SE image. Scale bar = 200 μm.
FIGURE 2 in X-ray Microanalysis and the Chemical Elemental Composition of Gorgonian and Pennatulacean Axial Structures (Anthozoa, Octocorallia)
FIGURE 2. Energy dispersive spectrometer (EDS) area scan dataset. (A) EDS site of interest BSE image in a cross-sectional view of a gorgonian Isis hippuris axial skeleton acquired by INCA Energy software using the same region as Figure 1, where spectrum 1 was collected across the full span of the maximum horizontal length of the axial surface and spectrum 2 was collected across the full span of the maximum vertical length of the axial surface. Scale bar = 100 μm. (B) Bar chart of the quantitative results from (C) spectrum 1 for reference in that the analytical results of the two sites are fairly similar as presented in Table 1.
Figure 1 in Interaction between biological aspects of Tetranychus urticae Koch (Acari: Tetranychidae) and some chemical composition in two colored Acalypha wilkesiana Müll. Arg. (Malpighiales: Euphorbiaceae) leaves
Figure 1. Graph of Pearson's correlation analysis among the different studied leaf parameters including the chemical analysis of Acalypha leaves and the T. urticae female characteristics. The colors represent variations in the obtained data. * indicates the significant at P-value <0.05.
Fig. 5. Microstomum rubromaculatum von Graff, 1882, composite sketches. A in Microstomum (Platyhelminthes, Macrostomorpha, Microstomidae) from the Swedish west coast: two new species and a population description
Fig. 5. Microstomum rubromaculatum von Graff, 1882, composite sketches. A. Ventral view of entire body. B. Lateral view of posterior end. C. Lateral view of stylet. D. Ventral view of stylet. Abbreviations: a = auricles (ciliary pits); am = antrum masculinum; ap = adhesive papillae; b = brain; eg = egg; fp = female pore; i = intestine; m = mouth; mp = male pore; o = ovary; ph = pharynx; s = sperm; st = male stylet; t = testis; vs = vesicula seminalis.
Estimated particle parameters of an aluminium matrix composite
<p>The dataset consists of section profile parameters in tabular form (assumed to come from prolate spheroids) of ellipses fitted to measured particles of an aluminium matrix composite from metallographic analysis. The dataset can be used to reconstruct the trivariate spatial spheroid (prolate form) distribution.</p>
Figure 13: Composition of hets and homs-Brain Functors: A mathematical model of intentional perception and action
<p>The cross-category object-to-object hets d : X→A will be indicated by thin arrows (→) rather than thick arrows (⇒). The first question is how do heteromorphisms compose with one another? But that is not necessary. Chimera do not need to ‘mate’ with other chimera to form a ‘species’ or category; they only need to mate with the intra-category morphisms on each side to form other chimera.8 Given a het d : X→A from an object in a category X to an object in a category A, and homs h : X'⇒X in X and k : A⇒A' in A, the composition dh : X'⇒X→A is another het X'→A and the composition kd : X→A⇒A' is another het X→A'.</p>
Data sheet for Monitoring of trimming operation for lightweight composite structure
<p>Each file consists of the following data :</p> <p>- Acceleration measurements in the spindle during machining.</p> <p>- Acceleration measurements in the workpiece during machining.</p> <p>- Spindle power consumption during machining.</p> <p> </p>
Data from: Rhizosphere bacterial community composition depends on plant species identity and soil legacy effects
<p>This record contains supplementary information for the article "Rhizosphere bacterial community composition depends on plant diversity legacy in soil and plant species identity".</p> <p><strong>Supplemental Table S1.</strong> The table contains the annotation for all the samples sequenced and analyzed.</p> <p><strong>Supplemental Table S2. </strong>The table contains all primer sequences used in the study.</p> <p><strong>Supplemental Table S3.</strong> The zip-file contains a table with the taxonomic annotation of the operational taxonomic units (OTUs) identified in the study.</p> <p><strong>Supplemental Table S4. </strong> The zip-file contains a table with sequence counts of the operational taxonomic units (OTUs) identified in the study.</p> <p><strong>Supplemental Table S5. </strong>The workbook contains a sheet with the number of operational taxonomic units (OTUs) exhibiting differential abundance in any of the contrasts tested in this study. Note that “down/up” indicates whether the OTU was less (“down”) or more (“up”) abundant in the first group of the contrast. For example, given the contrast “PH_mix_vs_mon_”, “down” corresponds to higher abundance in the pots from the monoculture plant history. Conversely, “up” refers to higher abundance in the pots from the mixed culture plant history. In addition, the workbook contains one sheet per contrast with the logBaseMean (log2 of the average normalized abundance across all samples), the logFC (log2 of the fold-change), the <em>P</em>-value, and the adjusted <em>P</em>-value (FDR). Only OTUs with a <em>P</em>-value <= 0.05 or an adjusted <em>P</em>-value (FDR) <= 0.1 are given.</p> <p><strong>Supplemental Table S6. </strong>The table contains the number of bacterial OTUs annotated with a given bacterial phylum.</p> <p><strong>Supplemental Table S7. </strong>The table contains all phyla tested for enrichment/depletion in the set of OTUs with an increased abundance in monoculture and mixed culture soils respectively. “Total counts (all OTUs)” corresponds to the total number of all OTUs annotated with a given phyla (reference set). “Observed” corresponds to the number of OTUs annotated with a given phyla in the set OTUs with increased abundance in monoculture/mixed culture soils (test set). "Expected" gives the number of OTUs which would be expected to be annotated with a given phyla if the test set were randomly sampled from the reference set.</p> <p><strong>Supplemental File S1.</strong> The zip-file contains a fasta file with the 10'205 OTU sequences identified in the study.</p> <p> </p> <p> </p>
Observations of microscale tensile fatigue damage mechanisms of composite materials for wind turbine blades
<p>A scout and zoom dataset including video-versions of the figures behind the following paper to where the references should be given:</p> <p>Mikkelsen, L.P. Observations of microscale tensile fatigue damage mechanisms of composite materials for wind turbine blades, IOP Conf. Series: Materials Science and Engineering <strong>380</strong> (2018) 012006 , http://iopscience.iop.org/article/10.1088/1757-899X/388/1/012006.</p> <p>The SFoV data-set is saved as both a 3D and a 2D (zipped) tiff stack.</p>
Nitrogen Dioxide Sentinel-5P 16-day composite map (2018-07-10 to 2018-07-25)
<p>Nitrogen Dioxide map of Ukraine and Eastern Europe developed based on Sentinel-5P L2 images. Mean NO2 values calculated using images over the period from 2018-07-10 to 2018-07-25. Air pollution hot spots identification.</p>
A precipitation gradient drives change in macroinvertebrate composition and interactions within bromeliads.
<p>Tank bromeliads accumulate water inside their leaf axils, providing habitat for communities of aquatic macro invertebrates. Here we sampled the macro invertebrate community in 100 bromeliads along the sand dunes of coastal Brazil in the states of Rio de Janeiro and São Paulo. We sampled ten sites, seven of which were within the Jurubatiba National Park in Rio de Janeiro state, Brazil. The other three sites were located in the sand dunes of Arraial do Cabo (Rio de Janeiro), Marica (Rio de Janeiro), and Ilha Bela (Sao Paulo).</p> <p>We sampled all macroinvertebrate communities between March and May 2015. In each site, we dissected ten bromeliads (totalling 100 bromeliads across all sites) to collect all the invertebrates in each plant. Macroinvertebrates were counted and identified to genus level whenever possible. For every bromeliad, we measured a suite of environmental variables to assess the amount and quality of habitat available to the invertebrates including: the height (cm) and diameter (cm, measured as the maximum distance between leaf tips) of the plant, maximum water volume (mL, calculated by emptying the plant and calculating how much water the plant could hold before it overflowed), actual water volume (mL), longest leaf length (cm), longest leaf width (cm), number of leaves, canopy cover (% of shaded pixels in photos taken looking directly up from the bromeliad), total detritus (g dry mass), pH, oxygen concentration (% saturation), salinity (ppt), temperature (oC), and turbidity (NTU). Water chemistry and temperature variables were measured using a portable multiparameter waterproof meter in the field as soon as the water was collected from the plant.</p> <p>The zip file contains two csv files. Environment contains all the environmental variables described above, and Species_presence contains the species ID and whether it is present in a given bromeliad. </p> <p> </p>
Data and Code for: Determination of the Signal Fluctuation Threshold of the Temperature Ion Composition Ambiguity Problem Using Monte Carlo Simulations
<p>This repository contains the datasets and scripts used to obtain the Figures of the paper "Determination of the Signal Fluctuation Threshold of the Temperature Ion Composition Ambiguity Problem Using Monte Carlo Simulations".</p> <p>The repository is organized as follows:</p> <p>- a) ISR model script</p> <p>- b) Script to visualize the two solutions of the TICA problem</p> <p>- c) Generator of uniformly selected parameters</p> <p>- d) Script to represent the space of parameters</p> <p>- Part 0) Monte Carlo simulation codes</p> <p>- Part I) Analysis of the efffect of the uncertainty on the initial guess</p> <p>- Part II) Analysis of the impact of the addition of parameters from the Plasma Line</p> <p>- Part III) Analysis of the information provided by the addition of each parameter</p> <p>- Part IV) Analysis of the effect of the uncertainty on the parameters added</p> <p>All datasets and scripts were generated and tested using Matlab 2017. Simulations have been executed in parallel on a SLURM cluster, compilation and running scripts are provided.</p>
Saber Pro 2016-2018 B. Ed. in Philosophy with Institutional Characteristics and Program Composition
<p>Edited data from the Colombian Institute for Assessment of Education (Instituto Colombiano para la Evaluación de la Educación, Icfes) database (ftp://ftp.icfes.gov.co/) for the Saber Pro results of the B.Ed. in Philosophy for the years 2016-2018. Additional data from the institutions and the programs, specially program constituents and curricula.</p>
Dispersoid Composition in Zirconium Containing Al-Zn-Mg-Cu (AA7010) Aluminium Alloy - Supporting Data
<p>Data related to measured dispersoid compositions and calculated dispersoid volume fractions:</p> <p>Dispersoid Composition in Zirconium Containing Al-Zn-Mg-Cu (AA7010) Aluminium Alloy<br> A.M. Cassell, J. D. Robson, C. P. Race, A. Eggeman, T. Hashimoto, M. Besel.</p> <p>Submitted to Acta Materialia.</p> <p>Datafile of compositions to reproduce Fig.8 in paper (.mat Matlab format)</p> <p>Datafile of predicted dispersoid volume fractions on which calculations were performed to produce Fig. 10 in paper (comment in datafile provides further details)</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.