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 “Composition”
Figure 4 in Biochemical composition of the hemolymph, hepatopancreas, ovary, and muscle during ovarian maturation in the penaeid shrimps Fenneropenaeus merguiensis and F. penicillatus (Crustacea: Decapoda)
Figure 4. Mean ± standard deviation of proteins, lipids, and carbohydrates in the ovaries of F. penicillatus in different stages of maturation. Logarithmic ovary protein, lipid, and carbohydrate regressed against logarithmic GSI. Means with different letters are significantly different at P <0.05.
Figure 5 in Biochemical composition of the hemolymph, hepatopancreas, ovary, and muscle during ovarian maturation in the penaeid shrimps Fenneropenaeus merguiensis and F. penicillatus (Crustacea: Decapoda)
Figure 5. Mean ± standard deviation of proteins, lipids, and carbohydrates in the hepatopancreas of F. merguiensis in different stages of maturation. Logarithmic hepatopancreas protein, lipid, and carbohydrate regressed against logarithmic GSI. Means with different letters are significantly different at P <0.05.
Fig. 1 in Molecular phylogeny provides new insights on the taxonomy and composition of Lyperosomum Looss, 1899 (Digenea, Dicrocoeliidae) and related genera
Fig. 1. Phylogenetic interrelationships of Dicrocoeliidae based on Bayesian analysis of partial sequences of the 28 S rDNA gene. Numbers above internodes indicate posterior probabilities greater than 70%. The scale bar indicates the number of substitutions per site. New sequences obtained in this study are in bold. The symbol (*) marks migrating bird. Additional data regarding the sequences are presented in Table 1.
Fig. 2 in Molecular phylogeny provides new insights on the taxonomy and composition of Lyperosomum Looss, 1899 (Digenea, Dicrocoeliidae) and related genera
Fig. 2. Bayesian analysis of the cytochrome c oxidase subunit 1 (cox1) gene combined with nicotinamide adenine dinucleotide dehydrogenase subunit 1 gene (nad1) of Lyperosomum spp. constructed using MrBayes. Numbers below internodes indicate posterior probabilities greater than 70%. All sequences, except for D. dendriticum, have been obtained in this study. Additional data regarding the sequences are presented in Table 1.
Fig. 2 in Species composition and distribution of ground beetles (Coleoptera, Carabidae) in the forests of the Kamanos State Strict Reserve (Lithuania)
Fig. 2. Similarity (Ics) between the forest types of the Kamanos State Strict Reserve with respect to species composition of ground beetles according to qualitative data (similarity in dominance values) (1 - oxalidosum spruce stand, 2 - myrtillosum pine stand, 3 - myrtillo - oxalidosum spruce stand, 4 - oxalidosum - broadleaved birch stand, 5 - calamagrostis birch stand, 6 - caricosum birch stand, 7 - caricoso - ledosum pine stand, 8 - sphagno - ledosum pine stand).
Figure 2 in Seasonal pattern of population dynamics, spawning activities, and diet composition of sardine (Sardina pilchardus Walbaum) in the eastern Adriatic Sea
Figure 2. Monthly oscillation of the mean sardine length (TL, cm) collected by commercial purse seiners during 2013 (February–November 2013) on Croatian fishing grounds.
Figure 1 in Seasonal pattern of population dynamics, spawning activities, and diet composition of sardine (Sardina pilchardus Walbaum) in the eastern Adriatic Sea
Figure 1. Study area, eastern Adriatic Sea with marked Croatian fishing ground (dark gray) where the samples from the commercial purse seiners were taken during 2013 (February–November 2013).
Figure 4 in Seasonal pattern of population dynamics, spawning activities, and diet composition of sardine (Sardina pilchardus Walbaum) in the eastern Adriatic Sea
Figure 4. Seasonal oscillations (winter: December to February; spring: March to May; summer: June to September; autumn: October to November) of allometric coefficient (b), condition index (Ka), and fullness index (%Jr) of sardines collected by commercial purse seiners during 2013 (February–November 2013) on Croatian fishing grounds.
Gradient Pinch Mode of Magnetorheological Fluids: Effect of Material Composition
<p>Here is a simplified dataset for the article 'Gradient Pinch Mode of Magnetorheological Fluids: Effect of Material Composition'. Please read the included file README.txt</p>
Figure 4 in Habitat structure and host plant specialization drive taxonomic andfunctional composition of Heteroptera in postfire successional habitats
Figure 4. Local networks indicating interactions between bug species and their potential food sources. For abbreviations of plant species (left side of the graph), see Appendix 3. For abbreviations of bug species (right side of the graph), see Table 2. Abbreviations of sites: R, repeat-burnt sites; L, burnt logged; S, burnt logged and subsoiled; U, control unburnt. Lines in network U define the four modules detected in the unburnt site network.
Figure 3 in Habitat structure and host plant specialization drive taxonomic andfunctional composition of Heteroptera in postfire successional habitats
Figure 3. Biplot of the best model redundancy analysis of the percentage of bugs within each trophic group in the 20 sampling plots (see best model in Table 6). Environmental variables: PCA1, PCA2, Sab, Gab, Tab, Trich (see Section 2 for explanation of variables). Arrows pointing from origin to each bug feeding group have been omitted for clarity. Abbreviations of bug feeding groups: Om, omnivorous; Zoo, zoophagous; Pol, phytophagous-polyphagous; Oli, phytophagous-oligophagous; Mon, phytophagous-monophagous. Abbreviations of the sampling plots: R1 to R5, Repeat-burnt; L1 to L5, burnt logged; S1 to S5, burnt logged and subsoiled; U1 to U5 control unburnt. Axis 1 (horizontal) was significant (permutation test: 199 permutations, F-ratio = 15.2342, P = 0.005), representing 46. 7% of the data variance. Axis 2 (vertical) was not significant (6.3% of explained variance; permutation test: 399 permutations, F-ratio = 2.0471, P = 0.100).
Figure 4. Mollusk species composition affinity among stations for 2012 in Structure of molluscan communities in shallow subtidal rocky bottoms of Acapulco, Mexico
Figure 4. Mollusk species composition affinity among stations for 2012 (▼), 2014 (●), and 2015 (□). G1: Group 1, G2: Group 2. Cutline: 25% similarity.
Figure 9 in Assessment of terrestrial snails' diversity and composition in six forests of west central - Morocco along an altitudinal gradient
Figure 9. Positions of stations on a nonlinear multidimensional scaling of abundance data (Bray-Curtis similiarity coefficient, 2D. Stress: 0.1395). Filled circles: Essaouira Dunes, diamonds: Tlat Lhanchane, squares: Ourika, filled squares: Azgour, filled triangles: Tamadout, circles: Oukaimeden.
Figure 4 in Species composition and ecological structure of ground beetle communities (Coleoptera, Carabidae) in reclaimed rock dumps in the south of Western Siberia
Figure 4. Ratio of species (first column) and numerical abundance (second column) of ground beetles by biotopic preferences, %. Note: Krb1–Krb5 – study sites; AT – alpine-taiga species, E – eurytopic, M – meadow, MS – meadowsteppe, FR – forest, FL – floodplain, S – steppe.
Innovative Green Alginate-Cellulose Composite for Light Lanthanides: Experimental Design and Comprehensive Studies on Kinetics, Equilibrium, Thermodynamics, and Reusability
<p>This dataset contains the raw data for the publication "Innovative Green Alginate-Cellulose Composite for Light Lanthanides: Experimental Design and Comprehensive Studies on Kinetics, Equilibrium, Thermodynamics, and Reusability" by Fila et al, published in ChemSusChem. The upload includes raw data of physicochemical characterizations of alginate-cellulose composite, including TG, ATR/FT-IR, BET, SEM, XRD, and XPS analyses. </p>
Diversity, Species Richness and Community Composition of Wetland Birds in the Lowlands of Western Nepal
Open the record for dataset details and reuse information.
S2 Figure. Preliminary An. gambiae complex species composition results from F0 adults raised from field collected larvae.
Open the record for dataset details and reuse information.
FIGURE 5 in Floristic composition, life forms and phytogeography of the mountains between Damghan and Shahrud, Eastern Alborz (Iran)
FIGURE 5. Life form spectrum of the studied area.
FIGURE 2 in Floristic composition, life forms and phytogeography of the mountains between Damghan and Shahrud, Eastern Alborz (Iran)
FIGURE 2. Plant families with the highest number of species and genera.
FIGURE 4 in Floristic composition, life forms and phytogeography of the mountains between Damghan and Shahrud, Eastern Alborz (Iran)
FIGURE 4. Phytogeographical distribution of species in the studied area.
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.