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.
1,641
datasets available to search
ShareScore release 0.9.0
Dataset results
1,641 results for “similarity”
FIGURES 1A–N in Gilpinia hakonensis and similar species in Japan and ovipositors of five European Gilpinia species (Hymenoptera, Diprionidae)
FIGURES 1A–N. Gilpinia hakonensis: A, B, K, lectotype of Lophyrus hakonensis, female; C, D, L, holotype of G. hakonensis var. laticincta, female; E, female, Honshu; F, female, Honshu; G, H, M, paratype of Diprion fukudai, female; I, J, N, male, Hon- shu. A, C, E, F, G, I, Dorsal or dorsolateral view; B, D, H, J, ventrolateral or lateral view; K–N, head, frontal view.
FIGURES 9A–J. Lancet. A in Gilpinia hakonensis and similar species in Japan and ovipositors of five European Gilpinia species (Hymenoptera, Diprionidae)
FIGURES 9A–J. Lancet. A, Gilpinia abieticola, Austria; B, G. frutetorum, Germany; C, same species, Poland; D, G. laricis, Germany; E, same species, Poland; F, G. socia, Austria; G, same species, "Czechoslovakia"; H, G. variegata, Germany; I, G. polytoma, Czech Republic; J, G. hercyniae, Honshu. Arrows indicate the twisted part of the sclerotized band of a radix. A, E, I, J, Reversed.
FIGURES 6A–J. Lancet. A–F in Gilpinia hakonensis and similar species in Japan and ovipositors of five European Gilpinia species (Hymenoptera, Diprionidae)
FIGURES 6A–J. Lancet. A–F, Gilpinia hakonensis: A, lectotype of Lophyrus hakonensis; B, holotype of G. hakonensis var. laticincta; C, Kyushu, D, Honshu, E, paratype of Diprion fukudai. F–H, Gilpinia amamiana: F, holotype; G, Amami Oshima Isl.; H, Tokunoshima Isl. I, J, Gilpinia okinawa: I, holotype; J, Okinawa Isl. 1, 2, 5, first (most basal), second and fifth annuli. D–F, H, Reversed.
FIGURES 5A–U. A–P, Valvula 3 in Gilpinia hakonensis and similar species in Japan and ovipositors of five European Gilpinia species (Hymenoptera, Diprionidae)
FIGURES 5A–U. A–P, Valvula 3, dorsal and posterior views; Q–U, ovipositor or lance, dorsal view (Q, S, T) or lateral view (R, U). A–F, Q, R, Gilpinia hakonensis: A–B, lectotype of Lophyrus hakonensis; C, D, holotype of G. hakonensis var. laticincta; E, F, P, paratype of Diprion fukudai; Q, R, Honshu. G–J, S, Gilpinia amamiana: G, H, holotype; I, J, Tokunoshima Isl.; S, Amami Oshima Isl. K, L, T, U, Gilpinia okinawa, holotype. M, N, Gilpinia frutetorum, Sweden. O, P, Gilpinia laricis, Germany. R, Reversed.
Data from: Roads to isolation: similar genomic history patterns in two species of freshwater crabs with contrasting environmental tolerances and range sizes
Freshwater species often show high levels of endemism and risk of extinction owing to their limited dispersal abilities. This is exemplified by the stenotopic freshwater crab, Johora singaporensis which is one of the world's 100 most threatened species, and currently inhabits less than 0.01 km2 of five low order hill streams within the highly urbanized island city‐state of Singapore. We compared populations of J. singaporensis with that of the non‐threatened, widespread, abundant, and eurytopic freshwater crab, Parathelphusa maculata, and found surprisingly high congruence between their population genomic histories. Based on 2,617 and 2,470 genome‐wide SNPs mined via the double‐digest restriction‐associated DNA sequencing method for ~90 individuals of J. singaporensis and P. maculata, respectively, the populations are strongly isolated (FST = 0.146–0.371), have low genetic diversity for both species (also for COI), and show signatures of recent genetic bottlenecks. The most genetically isolated populations for both species are separated from other populations by one of the oldest roads in Singapore. These results suggest that anthropogenic developments may have impacted stream‐dependent species in a uniform manner, regardless of ubiquity, habitat preference, or dispersal modes of the species. While signs of inbreeding were not detected for the critically endangered species, the genetic distinctiveness and low diversity of the populations call for genetic rescue and connecting corridors between the remaining fragments of the natural habitat.
FIGURE 1. E in Euphorbia melanohydrata subsp. conica (Euphorbiaceae), a new subspecies from Namibia, with notes on the identification of similar medusoid euphorbias
FIGURE 1. E. melanohydrata subsp. conica: (A) habit; (B) fruit, lateral and apical views; (C) female flower; (D) bisexual cyathium from above (male flowers still immature); (E) involucral gland, dorsal view (left) and lateral view in transverse section (right); (F) involucral lobe; (G) fascicular bract; (H) male flower. Voucher: Swanepoel 263. Scale bar 10 mm (A) or 1 mm (B–H). Illustration by Lesley Deysel.
Data from: Similar hybrid composition among different age and sex classes in the Myrtle–Audubon's warbler hybrid zone
Hybrid zones provide a key natural context within which to study the barriers between incipient species. In some avian hybrid zones, there is indirect evidence of selection against hybrid offspring, yet the source of that selection is often unclear. We examined the frequency distribution of hybrids between Myrtle Warblers (Setophaga coronata coronata) and Audubon's Warblers (S. c. auduboni), using data to quantify—for the first time at a genomic scale—the composition of hybrids in this hybrid zone. We sampled birds during the breeding season and during fall migration and compared the frequencies of hybrids of different sex and age classes. Specifically, we tested for evidence of early-generation hybrids being significantly under- or over-represented in any of these classes, as would be expected if hybrids have lower or higher fitness than non-hybrids. We found that the genomic composition of birds in the hybrid zone spans the full ancestry spectrum. Across all our sampling periods, we found an excess of birds that had more Audubon's ancestry, with a stronger bias toward Audubon's ancestry in fall migrants than in breeding birds, consistent with asymmetric introgression. Notably, we did not find any differences in hybrid frequencies between juvenile and adult age classes or between males and females. Therefore, our results do not support large differences in viability between male and female hybrids or between different age classes of hybrids.
FIGURE 5 in (Juncaceae), a new combination in sect. and notes on morphologically similar species
FIGURE 5. Specimen of Juncus validus (A) with inserts showing mature capsule (B), leaf ligule (C) and leaf septa (D). Specimen, ligule, and leaf morphology image Knapp 1445 DOV and capsule image McNeilus 98-484 DOV. Scale bar = 1 mm.
FIGURE 4 in (Juncaceae), a new combination in sect. and notes on morphologically similar species
FIGURE 4. Specimen of Juncus fascinatus (A) with inserts showing mature capsule (B), leaf ligule (C) and leaf septa (D). Specimen and leaf morphology image R. Fleetwood 10361 MO, ligule image D. Correll & I. Johnson 17284 FSU, capsule image B. Tharp 10559 FSU. Scale bar = 1 mm.
FIGURE 1 in (Juncaceae), a new combination in sect. and notes on morphologically similar species
FIGURE 1. Scatterplot of the two most important characters (inflorescence width and tepal length) for distinguishing J. fascinatus from J. validus as revealed by ANOVA. Circles represent J. fascinatus (N = 22) and triangles represent J. validus (N = 33).
FIGURE 8 in (Juncaceae), a new combination in sect. and notes on morphologically similar species
FIGURE 8. Geographic distribution of J. fascinatus. Circles represent the locations of specimens measured for analysis. Squares represent locations of specimens not measured.
FIGURE 3 in (Juncaceae), a new combination in sect. and notes on morphologically similar species
FIGURE 3. Cluster Analysis of the 55 specimens measured. J. validus = group 1, and J. fascinatus = group 2.
FIGURE 7 in (Juncaceae), a new combination in sect. and notes on morphologically similar species
FIGURE 7. Specimen of Juncus paludosus (A) with inserts showing mature capsule (B), leaf auricle (C) and leaf septa (D). Specimen photo R. Kral 96539B DOV, capsule and auricle A. Curtis 4940 DOV. Scale bar = 1 mm.
FIGURE 6 in (Juncaceae), a new combination in sect. and notes on morphologically similar species
FIGURE 6. Specimen of Juncus paludosus (A) with inserts showing mature capsule (B), leaf ligule (C) and leaf septa (D). Specimen and leaf morphology image G. Giltner 72 LSU, capsule image S. Orzell & E. Bridges 20312 FLAS, and ligule image L. Anderson 10582 FSU. Scale bar = 1 mm.
FIGURE 9 in (Juncaceae), a new combination in sect. and notes on morphologically similar species
FIGURE 9. Geographic range of J. validus over time. A: Specimens dated pre-1900. B: Specimens dated pre-1930. C: Specimens dated pre-1970. D: Specimens dated pre-2014.
Example workflow using KLIFS nodes in KNIME - identifying structures with similar molecules
<p>This is KNIME workflow created during the recording of the following <a href="https://www.youtube.com/channel/UCzSo1G_wyTv1vp42AhFDT8A">YouTube demonstration video</a>.</p> <p>Using this workflow, the user can draw a molecule and compare this molecule to all ligands from the KLIFS database (<a href="https://klifs.net">https://klifs.net</a>) to identify structures with molecules that are similar to the drawn molecule.</p> <p>In this workflow the follow steps are performed:</p> <ul> <li>Draw a molecule</li> <li>Collect all kinase ligands with a known structures from KLIFS</li> <li>Compare all KLIFS ligands to the drawn molecule using the ECFP-4 fingerprint and calculate a Tanimoto score </li> <li>Select the highest scoring three ligands and search for their PDB structures</li> <li>Collect the MOL2 files of the ligands as observed while binding in the PDB structures (note: all the PDB structures were first aligned by KLIFS)</li> </ul>
An abundance and morphology-based similarity index
<p>Classic similarity indices measure community resemblance in terms of incidence (the number of shared species) and abundance (the extent to which the shared species are an equivalently large component of the ecosystem). Here we describe a general method for increasing the amount of information contained in the output of these indices and describe a new "soft" ecological similarity measure (here called soft Chao-Jaccard similarity). The new measure quantifies community resemblance in terms of shared species, while accounting for intraspecific variation in abundance and morphology between samples. We demonstrate how our proposed measure can reconstruct short ecological gradients using random samples of taxa, recognizing patterns that are completely missed by classic measures of similarity. To demonstrate the utility of our new index, we reconstruct a morphological gradient driven by river flow velocity using random samples drawn from simulated and real-world data. Results suggest that the new index can be used to recognize complex short ecological gradients in settings where only information about specimens is available. We include open-source R code for calculating the proposed index.</p>
FIGURE. Floral asymmetry patterns found in the studied species. Flower with the adaxial petal like a standard in Ch. celiae (A), Ch. megacycla (B), Ch. pachyclada (C), Ch. crenulata (D), Ch. tocantinensis (E), Ch. orbiculata (F). Flower with four slightly elevated flat petals and one asymmetric lower lateral Ch. claussenii. (G). Flower with one of the inner petals small and the other coiled in the androecium in Ch. cercidifolia (H). Flower with adaxial petal and right upper lateral similar in shape and size in the same plane in Ch. cyclophylla (I), Ch. claussenii (J), Ch. rigidifolia (K) e Ch. veadeirana (L). in Taxonomic review of Chamaecrista sect. Absus subsect. Absus ser. Paniculatae (Benth.) H.S. Irwin & Barneby (Leguminosae, Caesalpinioideae)
FIGURE. Floral asymmetry patterns found in the studied species. Flower with the adaxial petal like a standard in Ch. celiae (A), Ch. megacycla (B), Ch. pachyclada (C), Ch. crenulata (D), Ch. tocantinensis (E), Ch. orbiculata (F). Flower with four slightly elevated flat petals and one asymmetric lower lateral Ch. claussenii. (G). Flower with one of the inner petals small and the other coiled in the androecium in Ch. cercidifolia (H). Flower with adaxial petal and right upper lateral similar in shape and size in the same plane in Ch. cyclophylla (I), Ch. claussenii (J), Ch. rigidifolia (K) e Ch. veadeirana (L).
FIGURE 5. Comparison with the most similar species. A. Lepanthes clausa. B. Lepanthes cucullata. C in Lepanthes marielana (Orchidaceae, Pleurothallidinae), a new species from the eastern Andes in Colombia
FIGURE 5. Comparison with the most similar species. A. Lepanthes clausa. B. Lepanthes cucullata. C. Lepanthes marielana. Photographs by J. S. Moreno (B) and S. Vieira-Uribe (A, C)
Figure 4. Similarity profile CqN for q in Diversity of orb-weaving spiders (Arachnida: Araneae) from tropical dry forest in Northern Colombia, with eleven new records for the country
Figure 4. Similarity profile CqN for q = 0, q = 1 and q = 2 among forests. The bars correspond to 95% confidence intervals.
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.