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.
59
datasets available to search
ShareScore release 0.9.0
Dataset results
59 results for “Scorpaena”
Fig. 1 in Scorpaena dabryi, a Junior Synonym of Scorpaena miostoma, with Notes on Morphological Ontogenetic Changes (Teleostei: Scorpaenidae)
Fig. 1. Photographs of Scorpaena miostoma. A, lectotype of S. dabryi (MNHN 6882, male, 75.5 mm SL); B, paralectotype of S. dabryi (MNHN 6882, 71.0 mm SL); C, holotype of S. miostoma (BMNH 1879.5.14.235, 106.4 mm SL).
Fig. 3 in Scorpaena dabryi, a Junior Synonym of Scorpaena miostoma, with Notes on Morphological Ontogenetic Changes (Teleostei: Scorpaenidae)
Fig. 3. Life stages of Scorpaena miostoma. A, KAUM–I. 71264, male, 43.8 mm SL; B, KAUM–I. 25862, 62.3 mm SL; C, KAUM–I. 71449, male, 81.5 mm SL; D, KAUM–I. 30796, 108.2 mm SL; E, KAUM–I. 10014, male, 124.4 mm SL.
Fig. 3 in Sex Differences And Sex Identification In The Small-Scaled Scorpionfish, Scorpaena Porcus (Scorpaenidae, Scorpaeniformes)
Fig. 3. Coefficient of variation (CV, %) for relative values of plastic features in adult males (M) and females (F).
Fig. 2 in Sex Differences And Sex Identification In The Small-Scaled Scorpionfish, Scorpaena Porcus (Scorpaenidae, Scorpaeniformes)
Fig. 2. Coefficient of variation (CV, %) for 21 plastic characters in adult males (M) and females (F).
Fig. 1 in Sex Differences And Sex Identification In The Small-Scaled Scorpionfish, Scorpaena Porcus (Scorpaenidae, Scorpaeniformes)
Fig. 1. Differentiation of males of the small-scaled scorpionfish on absolute values of 21 plastic characters.
Figure 4 in Feeding habits of Scorpaena notata (Scorpaenidae) from eastern Adriatic Sea
Figure 4. – Diet composition of Scorpaena notata throughout the year, based on the %IRI values of the major prey groups.
Figure 1 in Feeding habits of Scorpaena notata (Scorpaenidae) from eastern Adriatic Sea
Figure 1. – Study area and sampling sites of Scorpaena notata in the eastern Adriatic Sea. A: Kvarner Archipelago; B: Near Dugi Island; C: Near Šolta Island; D: Near Hvar Island. All sampling sites supported biocoenosis on coastal terrigenous sediments.
Figure 5 in Feeding habits of Scorpaena notata (Scorpaenidae) from eastern Adriatic Sea
Figure 5. – Dendrogram for hierarchical clustering of the prey composition of Scorpaena notata according to sampling sites, using group-average linking of Bray-Curtis similarities calculated on standardized and double root-transformed data of prey abundance. A: Kvarner Archipelago (n = 177); B: Near Dugi Island (n = 220); C: Near Šolta Island (n = 190); D: Near Hvar Island (n = 211).
Fig. 4 in Expressed sequence tags in venomous tissue of Scorpaena plumieri (Scorpaeniformes: Scorpaenidae)
Fig. 4. Sequence alignment of putative lectin from Scorpaena plumieri. Alignment of a lectin-like EST in silico translated sequence from S. plumieri (ClustalW2 EBI) with fish-egg lectin from Oplegnathus fasciatus (BAL618145), Dicentrarchus labrax (CBK52298), Maylandia zebra (XP_004574029), and Oreochromis niloticus (XP003443389). The recombinant clone was isolated with antibody fraction derived from S. plumieri venom. * identifies and identical residue;: identifies a conserved residue. Underlined residues represent invariable sites, underlined IRLS = N-acetylation site.
Fig. 3 in Expressed sequence tags in venomous tissue of Scorpaena plumieri (Scorpaeniformes: Scorpaenidae)
Fig. 3. The classification of EST from Scorpaena plumieri based on their putative fractions. Three-hundred fifty-six EST edited sequences were initially analyzed with Blast and Swiss protein databanks. The consensus sequence was attributed a function based on the strongest match.
Fig. 2 in Expressed sequence tags in venomous tissue of Scorpaena plumieri (Scorpaeniformes: Scorpaenidae)
Fig. 2. Agarose gel electrophoresis of DNA isolated from clones. White colonies containing insert were grown and the plasmidial DNA isolated and digested with EcoRI enzyme. An aliquot from each clone (1-27) was electrophoresed on 1% Agarose gel and stained with ethidium bromide.
Fig. 1 in Expressed sequence tags in venomous tissue of Scorpaena plumieri (Scorpaeniformes: Scorpaenidae)
Fig. 1. Agarose- formaldehyde electrophoresis of RNA from Scorpaena plumieri. A) 1) 2 µg of E. coli tRNA; 2) 2 µg de rRNA de Rattus norvegicus; 3) and 4) 2 µg total RNA from S. plumieri spine gland. B) 1) 2 µg de total RNA from S. plumieri; 2) the same sample incubated 2 h a 37ºC before electrophoresis.
Figure 5 in Molecular and otolith shape analyses of Scorpaena spp. in the Turkish seas
Figure 5. The dissimilarity of Scorpaena species based on the Euclidian distance, grouping by hierarchical cluster analysis (UPGMA).
Figure 4 in Molecular and otolith shape analyses of Scorpaena spp. in the Turkish seas
Figure 4. Average shapes of the otoliths in the five Scorpaena species, based on mean Fourier descriptors. a) S. elongata, b) S. maderensis, c) S. porcus, d) S. notata, e) S. scrofa.
Figure 2 in Molecular and otolith shape analyses of Scorpaena spp. in the Turkish seas
Figure 2. Phylogenetic tree based on Neighbour Joining method analysis of COI gene for five Scorpaena species and their haplotypes. Only bootstrap values greater than 50 were shown (1000 replicates). D. brachypterus was used as an outgroup.
Figure 3 in Molecular and otolith shape analyses of Scorpaena spp. in the Turkish seas
Figure 3. Phylogenetic tree based on Neighbour Joining method analysis of COI sequences of Scorpaena species obtained in the present study and found in GenBank and BOLD Systems. Only bootstrap values greater than 50 are shown. D. brachypterus was used as an outgroup.
Figure 3 in Feeding strategy and trophic ontogeny in Scorpaena maderensis (Scorpaeniformes: Scorpaenidae) from the Azores, NE Atlantic
Figure 3. - General feeding strategies plot based on Amundsen et al. (1996) for Scorpaena maderensis from the Azores. %Fi = frequency of prey i occurrence; %Pi = specific prey abundance)
Figure 2 in Feeding strategy and trophic ontogeny in Scorpaena maderensis (Scorpaeniformes: Scorpaenidae) from the Azores, NE Atlantic
Figure 2. - Cumulative trophic diversity curves of Scorpaena maderensis specimens sampled from the Azores by size classes.
Figure 5 in Feeding strategy and trophic ontogeny in Scorpaena maderensis (Scorpaeniformes: Scorpaenidae) from the Azores, NE Atlantic
Figure 5. - Frequency of occurrence (%F), numerical proportion (%N) and weight proportion (%W) of main prey groups in four Scorpaena maderensis size classes (SL) from the Azores.
Figure 1 in Feeding strategy and trophic ontogeny in Scorpaena maderensis (Scorpaeniformes: Scorpaenidae) from the Azores, NE Atlantic
Figure 1. - Geographic distribution of Scorpaena maderensis and location of sampled Azorean islands.
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.