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.
1,923
datasets available to search
ShareScore release 0.9.0
Dataset results
1,923 results for “compounds”
Data from: Evidence for the adaptive significance of secondary compounds in vertebrate-dispersed fruits
Although the primary function of fleshy fruits is to attract seed dispersers, many ripe fruits contain toxic secondary compounds. A number of hypotheses have been proposed to explain this evolutionary paradox, most of which describe the potential adaptive role secondary compounds may play in seed dispersal. However, some authors have argued that fruit secondary compounds may be non-adaptive, and instead explain their occurrence as a pleiotropic consequence of selection for defense of leaves and other tissues. We address these alternative evolutionary hypotheses through a comparative examination of iridoid glycosides in leaves, unripe fruits, and ripe fruits of Lonicera x bella (Belle's bush honeysuckle), combined with an examination of fruit damage and removal in natural populations. We provide several lines of evidence that fruit secondary compounds cannot be explained solely as a consequence of foliar defense, including higher concentrations and more individual compounds in fruits compared to leaves and a negative relationship between iridoid glycoside concentration and fruit damage. However, we also show that the composition and concentrations of secondary compounds in leaves and fruits are not entirely independent, emphasizing that selection in different plant parts is intrinsically linked. We conclude that the adaptive significance of chemical traits is best considered in a whole-plant context that includes fruit-frugivore interactions.
Classification of Binding Modes for Kinase-Inhibitor Complex Structures, 3D Activity Cliffs Formed by Kinase Inhibitors, and Structural Analogues of 3D-Cliff Compounds
<p>The classification of crystallographic binding modes is provided for 884 kinase-inhibitor complex structures that were assembled from PDB. In addition, a total of 105 three-dimensional activity cliffs formed by 3D kinase inhibitors are listed. Their corresponding potency information is also given. Furthermore, the 2D structural analogues of 3D cliff-forming inhibitors were identified from ChEMBL database, on the basis of matched molecular pairs. These analogs and their activity information are also provided.</p>
Effect of ionic radii on the Curie temperature in Ba1-x-ySrxCayTiO3 compounds
<p>A series of Ba<sub>1-x-y</sub>Sr<sub>x</sub>Ca<sub>y</sub>TiO<sub>3</sub> compounds were prepared with varying average ionic radii and cation disorder on A-site. All samples showed typical ferroelectric behavior. A simple empirical equation correlated Curie temperature, <em>T<sub>C</sub></em>, with the values of ionic radii of A-site cations. This correlation was related to the distortion of TiO<sub>6</sub> octahedra observed during neutron diffraction studies. The equation was used for the selection of compounds with predetermined values of <em>T<sub>C</sub></em>. The effects of A-site ionic radii on the temperatures of phase transitions in Ba<sub>1-x-y</sub>Sr<sub>x</sub>Ca<sub>y</sub>TiO<sub>3</sub> were discussed. </p>
Crystal Structures of SARS-CoV-2 main protease with screening fragments and COVID Moonshot compounds from the XChem facility at Diamond Light Source
<p>Bulk repositiory of structures of SARS-CoV-2 main protease in complex with fragment molecules from inital XChem screen and designed COVID Moonshot inhibtor compounds. Each structure has a PDB ID, coordinate file, structure factor file, ligand restraint (cif) and PANDDA event maps (as appropriate).</p><p>2023-10-26 - updated to include <strong>all </strong>initial fragment screening hits alongside follow up compounds</p>
FIGURE 43. Stomatocysts with compound ornamentation. A–B. Stomatocyst 101 Pang & Wang. C–D. Stomatocyst 102 Pang & Wang. E. Stomatocyst 23 Pang & Wang. F. Stomatocyst 230 in Chrysophycean stomatocysts from the Aershan Geological Park (Inner Mongolia), China
FIGURE 43. Stomatocysts with compound ornamentation. A–B. Stomatocyst 101 Pang & Wang. C–D. Stomatocyst 102 Pang & Wang. E. Stomatocyst 23 Pang & Wang. F. Stomatocyst 230 Duff & Smol. Scale bar = 2 µm.
FIGURE 44. Stomatocysts with compound ornamentation. A. Stomatocyst 171 Zeeb & Smol. B. Stomatocyst 5 in Chrysophycean stomatocysts from the Aershan Geological Park (Inner Mongolia), China
FIGURE 44. Stomatocysts with compound ornamentation. A. Stomatocyst 171 Zeeb & Smol. B. Stomatocyst 5 Duff & Smol emend. Duff & Smol. C. Stomatocyst 348 Wilkinson & Smol. D–F. Stomatocyst 103 Pang & Wang. Scale bar = 2 µm.
Data for "Double Superionicity in Icy Compounds at Planetary Interior Conditions"
<p>Data for "Double Superionicity in Icy Compounds at Planetary Interior Conditions" by authors Kyla de Villa, Felipe Gonzalez-Cataldo, and Burkhard Militzer (DOI: 10.1038/s41467-023-42958-0). </p><p>To keep the data volume reasonable, only the files from the first checkpoint of DFT-MD and ML-MD simulations are provided. Further simulation data are available from the corresponding author upon reasonable request. </p>
Fig. 2 in Variation in the amino acids, volatile organic compounds and terpenes profiles in induced polyploids and in Solanum tuberosum varieties
Fig. 2. Biplot of Principal Component Analysis based on VOCs and Amino acids from leaves of Solanum allotetraploids (a), autotetraploids (b) and cultivated varieties (c). Components were calculated using Euclidean distances. Amino acids are depicted in the three-letter code. a) Allotetraploids (4xAL2 and 4xAL4) and diploid S. tuberosum x S. kurtzianum parental interspecific hybrid (2xPIH). b) Autotetraploids (4xAuL1, 4xAuL2 and 4xAuL3) and diploid S. kurtzianum parental line (2xPL). c) S. tuberosum cultivated varieties (4xCalen, 4xInnovator and 4xPampeana).
Fig. 3 in Variation in the amino acids, volatile organic compounds and terpenes profiles in induced polyploids and in Solanum tuberosum varieties
Fig. 3. Hierarchical cluster analysis (represented by a heat-map) of amino acids content in leaves of potato allo- and autotetraploids and cultivated varieties. Dendrograms were constructed by UPGMA clustering method for 18 amino acids and 10 lines: diploid S. kurtzianum parental line (2xPL), diploid S. tuberosum x S. kurtzianum parental interspecific hybrid (2xPIH), three autotetraploids (4xAuL1, 4xAuL2 and 4xAuL3), two allotetraploids (4xAL2 and 4xAL4) and three cultivated varieties (4xCalen, 4xInnovator and 4xPampeana).
Fig. 1 in Variation in the amino acids, volatile organic compounds and terpenes profiles in induced polyploids and in Solanum tuberosum varieties
Fig. 1. Fold change of compounds content in allotetraploids (a) and autotetraploids (b) relative to their respective diploid parental line. Fold change is expressed as log10(Tetraploid/Diploid). Horizontal lines are the average of the absolute logFC for each evaluated line, letters denote differences by Duncan's multiple range test (P <0.05).
Compound words in Arabic and Chinese
Open the record for dataset details and reuse information.
05052023 Purification compound 223
Open the record for dataset details and reuse information.
Data from Differential Inhibition of Intra- and Inter- Molecular Protease Cleavages by Antiviral Compounds
<p>Updated gel images to correspond to specific figures</p>
Molecular dynamics results of the complex 3CLpro active site with compound 5
<p>Molecular dynamics results of the complex 3CLpro active site with compound <strong>5</strong>. The protein structure is shown in gray and the compound <strong>5</strong> is shown in orange.</p>
Molecular dynamics results of the complex PLpro compound 5.
<p>Molecular dynamics results of the complex PLpro with compound 5. The protein structure is shown in gray, the BL2loop is shown in yellow and the compound 5 is shown in blue.</p>
Fig. 1 in Comparative morphology of the compound rhamphotheca of tubenosed seabirds (order Procellariiformes)
Fig. 1. Schematic drawing of the horny plates and sulcus of (A) Diomedeidae (B) Procellariidae (C) Hydrobatidae, and (D) Oceanitidae (dotted lines for grooves/ sutures), and (E) how measurements were taken, lateral and ventral view, and (F) photos to illustrate some characters and character states used in this study. Numbers refer to Appendix B. Abbreviations: bh beak height, bl beak length, cg culminolabial groove, cu culminicorn, la latericorn, mg mentolabial groove, ml mandibular nail length, mn mandibular nail, na naricorn, ng nasolabial groove, jl lower jaw length, nh nasal tube height, nl nasal tube length, pf pseudomental fold, pg pseudomental groove, pl pseudomental fold length, pn premaxillary nail, ra ramicorn, rad dorsal ramicorn, rav ventral ramicorn, rg ramicorn groove.
Fig. 2 in Comparative morphology of the compound rhamphotheca of tubenosed seabirds (order Procellariiformes)
Fig. 2. Rhamphotheca of Procellariidae in lateral, dorsal, ventral and cranial view of (A) Aphrodroma brevirostris (B) Ardenna creatopus (C) Ardenna grisea (D) Calonectris diomedea (E) Daption capense (F) Fulmarus glacialoides (G) Macronectes giganteus, and (H) Pachyptila belcheri. Abbreviations: ci concave inflection on the tube, ls longitudinal sulcus, s slope, t triangle-shaped sulcus, vn ventral notch on the mandibular nail, vs ventral slope of the tube.
Fig. 4 in Comparative morphology of the compound rhamphotheca of tubenosed seabirds (order Procellariiformes)
Fig. 4. Rhamphotheca in lateral, dorsal and ventral view of (A) Diomedea epomophora (B) Diomedea exulans (C) Phoebetria palpebrata (D) Thalassarche bulleri (E) Thalassarche cauta (F) Thalassarche chrysostoma (G) Thalassarche melanophris (Diomedeidae) (H) Oceanodroma hornbyi (I) Oceanodroma leucorhous (Hydrobatidae) (J) Fregetta tropica (K) Oceanites gracilis, and (L) Oceanites oceanicus (Oceanitidae). Abbreviations: in incurrent narine, en excurrent narine + aperture of oil gland.
Fig. 3 in Comparative morphology of the compound rhamphotheca of tubenosed seabirds (order Procellariiformes)
Fig. 3. Rhamphotheca of Procellariidae in lateral, dorsal, ventral and cranial view of (A) Procellaria aequinoctialis (B) Puffinus assimilis (C) Puffinus puffinus (D) Pelecanoides magellani (E) Pelecanoides georgicus, and (F) Pelecanoides urinatrix.
Fig. 5 in Comparative morphology of the compound rhamphotheca of tubenosed seabirds (order Procellariiformes)
Fig. 5. (A) Consensus tree from the phylogenetic analysis, all characters have equal weight and are unordered, no constraints; MPTs = 36, length = 51, CI = 0.63, HI = 0.37, RI = 0.85. Bootstrap support is indicated at nodes. Gaps are treated as "missing". Nodes are indicated between parenthesis, and (B) a supertree of the species analyzed using the topology of birdtree.org (Jetz et al., 2014).
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.