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.
6,175
datasets available to search
ShareScore release 0.9.0
Dataset results
6,175 results for “Composite”
Data from: Pigment molecular composition reveals significant information for visual communication
<p>1. Melanins are the most common pigments in vertebrates and, as such, fufill multiple adaptive functions, including honest signaling. This is the case of male pied flycatchers Ficedula hypoleuca, whose dorsal plumage, composed of black and grey feathers pigmented by eumelanin, is sexually selected by females regarding the proportion of black.</p> <p>2. However, the basis of such mating preferences and other associations with life-history traits are unknown. </p> <p>3. Here I take advantage of recent advances in Raman spectroscopy analysis to investigate the monomeric composition of eumelanin, constituted by 5,6-dihydroxyindole (DHI) and 5,6-dihydroxyindole-2-carboxylic acid (DHICA) subunits, in male pied flycatchers. </p> <p>4. I found that plumage blackness (percentage of dorsal black feathers) increases with the DHICA:DHI ratio of the constituent black freathers, but not with that of grey feathers. The repeatability of DHICA:DHI measurements in black feathers is two times that in grey feathers. </p> <p>5. Eumelanin chemistry may thus constitute the basis of signal honesty in pied flycatchers, as females preferentially mate with males with higher relative DHICA feather contents and this may be related to the lower pro-oxidant effect of DHICA. Given the the ubiquitous nature of melanin-based pigmentation phenotypes, the monomeric composition of eumelanin should therefore be considered, instead of eumelanin as a whole, for a better understanding of how and why phenotypes are linked to life-history traits in animals.</p>
Fig. 30. Crematogaster acaciae Forel, 1892 in Faunal composition, diversity, and distribution of ants (Hymenoptera: Formicidae) of Dhofar Governorate, Oman, with updated list of the Omani species and remarks on zoogeography
Fig. 30. Crematogaster acaciae Forel, 1892, syntype, worker (CASENT0908494, AntWeb.org (Zach Lieberman)). A. Body in profile. B. Head in full-face view. C. Distribution map.
Fig. 16 in Faunal composition, diversity, and distribution of ants (Hymenoptera: Formicidae) of Dhofar Governorate, Oman, with updated list of the Omani species and remarks on zoogeography
Fig. 16. Lepisiota carbonaria (Emery, 1892), worker (CASENT0922845, AntWeb.org (Michele Esposito)). A. Body in profile. B. Head in full-face view. C. Distribution map.
Fig. 13. Cataglyphis sabulosa Kugler, 1981 in Faunal composition, diversity, and distribution of ants (Hymenoptera: Formicidae) of Dhofar Governorate, Oman, with updated list of the Omani species and remarks on zoogeography
Fig. 13. Cataglyphis sabulosa Kugler, 1981, paratype, worker (CASENT0903289, AntWeb.org (Alexandra Westrich)). A. Body in profile. B. Head in full-face view. C. Distribution map.
Dataset: Local management and landscape composition affect predatory mites in European wine-growing regions
<p>Data repository of the raw data for the data analysis of the article: "Local management and landscape composition affect predatory mites in European wine-growing regions" published in Agriculture, Ecosystems and Environment Volume 344, 1 March 2023, 108292.</p>
EDS and XRF compositional maps of slickenlines from Plan de los Platanos (PP), Big Piute (BP), Waterman Hills (WH) Faults
<p>EDS and XRF compositional maps from PP-(AU), BP, and WH samples.</p>
Data set from a 3D benchmark simulation of delamination in a layered composite component under fatigue loading
<p>This data repository provides the processed data obtained from the benchmark simulation using the method presented in the article entitled "A simulation method for fatigue-driven delamination in layered structures involving non-negligible fracture process zones and arbitrarily shaped crack fronts" by the same authors. The method is based on a cohesive zone model approach and a Paris' law-based expression describing the crack growth rate. The capabilities of the method are evaluated by comparison of the results obtained from a benchmark test on a partially reinforced double cantilever beam (DCB) specimen with varying crack growth rate and front shape. The experimental work is presented in the article entitled "A benchmark test for validating 3D simulation methods for delamination growth under quasi-static and fatigue loading". Experimental data is provided in the Mendeley data set entitled "Experimental data set from a benchmark test of delamination growth with varying crack growth rate and crack front shape under quasi-static and fatigue loading". This data set only contains the simulation results. The test configuration, the methodology and the data processing are addressed in the related articles.</p>
X-ray diffraction (XRD) measurement of bulk and clay mineral composition at India National Gas Hydrate Program 01 (NGHP-01) Sites on the Indian continental margin (Krishna-Godavari Basin, Kerala-Konkan Basin, Mahanadi Basin, Andaman Sea)
<p>This dataset contains bulk and clay mineral relative abundances measured by X-ray diffraction (XRD) measured at 12 offshore sites drilled and cored during the Indian National Gas Hydrate Program 01 (NGHP-01) in 2006 by the JOIDES Resolution. Sediment samples from from the Kerala-Konkan Basin, Arabian Sea (Hole 01A), the Krishna-Godavari Basin, Bay of Bengal (Holes 03B, 05C, 07BD, 10BD, 14A, 15A, 16A, 20AB), the Andaman Sea (Hole 17A), and the Mahanadi Basin, Bay of Bengal (Holes 18A, 19A) were measured for bulk and clay XRD at the University of Missouri using a Scintag Pad V X-ray diffractometer.</p> <p>These sites are between 895 and 2663 m of water depth and were from drilled to depths between 172 and 675 m below seafloor. These data were published in:</p> <p><strong>Phillips, S.C., Johnson, J.E., Underwood, M.B., Guo, J., Giosan, L., and Rose, K., 2014. Long-timescale variation in bulk and clay mineral composition of Indian continental margin sediments in the Bay of Bengal, Andaman Sea, and Arabian Sea. <em>Marine and Petroleum Geology</em> 58A, 117-138, https://doi.org/10.1016/j.marpetgeo.2014.06.018 <a href="https://doi.org/10.1016/j.marpetgeo.2014.06.018">Link</a></strong></p> <p>Samples were collected at a resolution of approximately 1 per core. Four-component relative abundances (total clay, quartz, feldspar, calcite) of bulk sediment powders were calculated using a singular value decomposition (Fisher and Underwood, 1995). Clay fractions were prepared using the filter peel method and 0.45-mm membranes, and saturated with ethylene glycol (Moore and Reynolds, 1997). Clay mineral relative abundances (illite, smectite, kaolinite, chlorite) were calculated using the method of Biscaye (1965) for comparison with previously measured studies from the Indian Ocean. See Phillips et al. (2014) for additional information.</p> <p>References:</p> <p>Biscaye, P.E., 1965. Mineralogy and sedimentation of recent deep-sea clay in the Atlantic Ocean and adjacent seas and oceans. <em>Geological Society of America Bulletin</em>. 76, 803-832. https://doi.org/10.1130/0016-7606(1965)76[803:MASORD]2.0.CO;2</p> <p>Fisher, A.T., Underwood, M.B., 1995. Calibration of an X-ray diffraction method to determine relative mineral abundances in bulk powders using matrix singular value decomposition: a test from the Barbados accretionary complex. In: Shipley, T.H., Ogawa, Y., Blum, P. (Eds.), <em>Proceedings of the Ocean Drilling Program, Initial Reports</em>, vol. 156, pp. 29-37. doi:10.2973/odp.proc.ir.156.103.1995</p> <p>Moore, D.M., Reynolds, R.C., 1997. X-ray <em>Diffraction and the Identification and Analysis of Clay Minerals</em>, second ed. Oxford University Press, New York.</p> <p>Phillips, S.C., Johnson, J.E., Underwood, M.B., Guo, J., Giosan, L., and Rose, K., 2014. Long-timescale variation in bulk and clay mineral composition of Indian continental margin sediments in the Bay of Bengal, Andaman Sea, and Arabian Sea. <em>Marine and Petroleum Geology</em> 58A, 117-138, https://doi.org/10.1016/j.marpetgeo.2014.06.018</p>
Supplementary material 1 from: Andersson P, Koffman A, Sjödin NE, Johansson V (2017) Roads may act as barriers to flying insects: species composition of bees and wasps differs on two sides of a large highway. Nature Conservation 18: 47-59. https://doi.org/10.3897/natureconservation.18.12314
Species list and body lengths of the 39 Aculeata species : Data type: species data
Figure 1 from: Branson DH (2017) Grasshopper species composition shifts following a severe rangeland grasshopper outbreak. Journal of Orthoptera Research 26: 7-10. https://doi.org/10.3897/jor.26.14542
Figure 1 - Proportional composition for each of the three major grasshopper species averaged across random catches in a given year from 1999 to 2003.
Figure 5 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265
Figure 5 - Relative abundance distribution of fungal leaf-inhabiting endophytes of beech among the five main trophic guilds as revealed by analysis with FUNGuild (Nguyen et al. 2016). A compares the two localities for each trophic guild on the basis of Illumina data B compares the two localities for each trophic guild on the basis of cultivation data.
Figure 4 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265
Figure 4 - Relative abundance of fungal leaf-inhabiting endophytes of beech among the five main trophic guilds as revealed by analysis with FUNGuild (Nguyen et al. 2016). A compares the two methods for each trophic guild and unassigned data. B displays the trophic guilds and unassigned taxa for Illumina data, C for cultivation data. Abbreviations in [B and C]: U = Unassigned, P = Pathotrophs, PSa = Patho-Saprotrophs, PSy = Patho-Symbiotrophs, Sa = Saprotrophs, Sy = Symbiotrophs
Figure 2 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265
Figure 2 - . Principal coordinate analysis (PCoA) of fungal leaf-inhabiting endophytes of beech display strongly differing assemblages obtained with Illumina sequencing and cultivation. Both methods revealed differing mycobiomes from valley and from mountain leaves, although these differences were less pronounced for cultivation data. Abbreviations: IM = Illumina data from mountain samples, IV = Illumina data from valley samples, CM = cultivation data from mountain samples, CV = cultivation data from valley samples
Figure 3 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265
Figure 3 - Abundance distribution of the 20 most abundant orders of fungal leaf-inhabiting endophytes of beech on a logarithmic scale. Three of the five most abundant orders from high-throughput sequencing were also most abundant in cultivation data.
Figure 1 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265
Figure 1 - Diversity indexes and accumulation curves for a Illumina and b cultivation data of fungal leaf-inhabiting endophytes of beech. Except of the accumulation curves of cultivation data, both methods revealed a clear and partly significant trend of higher fungal diversity at the valley site.
Figure 1 from: Branson DH (2017) Grasshopper species composition shifts following a severe rangeland grasshopper outbreak. Journal of Orthoptera Research 26: 7-10. https://doi.org/10.3897/jor.26.14542
Figure 1 - Proportional composition for each of the three major grasshopper species averaged across random catches in a given year from 1999 to 2003.
EXPERIMENTAL STUDY OF THE INTENSITY AND COMPOSITION OF TRAFFIC FLOW AT INTERSECTIONS IN THE TERRITORY OF THE CITY OF NUKUS
Open the record for dataset details and reuse information.
Data For Hybrid Monte-Carlo Molecular Dynamics Methods For Estimation of Solidus and Liquidus Compositions, a Case Study in Cu-Ni and Au-Si
Open the record for dataset details and reuse information.
Potassium isotope compositions of lamprophyres from the eastern North China Craton
Open the record for dataset details and reuse information.
Simulated Subtomograms with Different Composition and Conformations of Proteins
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.