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.
700
datasets available to search
ShareScore release 0.7.1
Dataset results
700 results for “molecular identification”
Fig. 5 in The morphological and molecular identification of the tapeworm, Taenia lynciscapreoli, in intermediate and definitive hosts in Poland
Fig. 5. Four crowns of T. lynciscapreoli, A – C larvae, D – adult; A – AM1 (32 hooks), B – APS3 (38 hooks), C – APS2 (34 hooks), D – R17 (36 hooks).
Fig. 4 in The morphological and molecular identification of the tapeworm, Taenia lynciscapreoli, in intermediate and definitive hosts in Poland
Fig. 4. The crown of T. lynciscapreoli; examples of empty spaces, from where hooks have been lost are indicated (arrows).
Fig. 3. A in The morphological and molecular identification of the tapeworm, Taenia lynciscapreoli, in intermediate and definitive hosts in Poland
Fig. 3. A – lung of roe deer with cyst of tapeworm T. lynciscapreoli; B – Cysticercoid of T. lynciscapreoli.
Fig. 1 in Molecular identification and epidemiological data of Anisakis spp. (Nematoda: Anisakidae) larvae from Southeastern Pacific Ocean off Peru
Fig. 1. Scanning electron micrographs of Anisakis type I and II.1a and 2a. Cephalic end. Detail of the structures: oral cavity (oc), tooth (t), excretory pore (ep), subventral lip bulge (s). 1b. caudal end of Anisakis pegreffii. 2b. caudal end of Anisakis physeteris. Detail of the structures: anal pore (ap), mucron (m).
Fig. 2 in Molecular identification and epidemiological data of Anisakis spp. (Nematoda: Anisakidae) larvae from Southeastern Pacific Ocean off Peru
Fig. 2. Phylogenetic tree based on mtDNA cox2 gene sequences exploring the relationships among Anisakis species. The relationship was drawn using Bayesian inference (BI) and maximum likelihood (ML) methods. Posterior probability value (first) and nodal support is shown as bootstrap value (second) on the basis of 10 million generations for BI and 1000 replicates (only bootstrap values greater than 80% are shown) for ML, respectively. Scale bar indicate nucleotide substitutions per site. GenBank accession numbers are shown in parentheses. Hysterothylacium deardorffoverstreetorum was used as an outgroup.
Fig. 2. A in Digestive tract nematode infections in non-native invasive American mink with the first molecular identification of Molineus patens
Fig. 2. A phylogram based on the small subunit of 18S rRNA nuclear gene fragments for the 58 sequences obtained from the parasites isolated from different parts of the American mink digestive tract: s – stomach; d – duodenum; si – small intestine (bold – Aonchtheca putorii, navy blue and bold – Molineus patens) and sequences achieved from GeneBank (http://www.ncbi.nlm.nih. gov/) (in italics) of the other 8 Trichuridae species (phylum Nematoda). All newly achieved sequences are in bold (details in Appendix 1, Fig. S2). The evolutionary relationships of the taxa were implied using the maximum likelihood estimation method (Tamura and Nei, 1993) embedded in MEGA6 software (Tamura et al., 2013). The tree with the highest log likelihood (– 1262.9129) is shown. The evolutionary distances were computed using the maximum composite likelihood method (Tamura et al., 2004) and are expressed as a number of base substitutions per site. All positions containing gaps and missing data were eliminated. There were a total of 456 positions in the final dataset.
Fig. 1 in Digestive tract nematode infections in non-native invasive American mink with the first molecular identification of Molineus patens
Fig. 1. Relation between the number of nematodes in the stomach of American mink and the number of nematodes in other parts of the digestive tract (duodenum, small intestine, and large intestine).
Fig. 2 in Molecular identification of Trypanosoma theileri complex in Eurasian moose Alces alces (L.)
Fig. 2. Phylogenetic tree of Trypanosoma sp. 18S rRNA partial gene. Maximum-likelihood tree computed with the GTR + I + G model of sequence evolution. Trypanosoma sp. found in our study (haplotype H1 and H2 marked with red color) and downloaded from GenBank. Hosts were listed after GenBank numbers and country of origin. Numbers listed at nodes represent percent support for that node from 1000 bootstrap replicates. The ML tree has been rooted with sequences of Trypanosoma cyclops. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1. The trypanosomes from European moose. A, B in Molecular identification of Trypanosoma theileri complex in Eurasian moose Alces alces (L.)
Fig. 1. The trypanosomes from European moose. A, B. light microscope images; C. drawing scheme. Scale bar 10 μm.
Fig. 2 in First detection and molecular identification of Babesia gibsoni and Hepatozoon canis in an Asiatic wild dog (Cuon alpinus) from Thailand
Fig. 2. Neighbor-joining (NJ) tree of the Hepatozoon partial 18S ribosomal RNA (18S rRNA) gene sequence. Hepatozoon canis (MK144332) was amplified from an Asiatic wild dog in Thailand and analyzed for comparison with other Hepatozoon spp. from the GenBank database. The numbers on branches indicate percent bootstrap support based on 1000 bootstrap replications and only bootstrap values ≥ 50% are shown.
Fig. 1 in First detection and molecular identification of Babesia gibsoni and Hepatozoon canis in an Asiatic wild dog (Cuon alpinus) from Thailand
Fig. 1. Neighbor-joining (NJ) tree of the Babesia partial 18S ribosomal RNA (18S rRNA) gene sequence. Babesia gibsoni (MK144331) was amplified from an Asiatic wild dog in Thailand and analyzed for comparison with other Babesia spp. from the GenBank database. The numbers on branches indicate percent bootstrap support based on 1000 bootstrap replications and only bootstrap values ≥ 50% are shown.
FIGURE 3 in Molecular identification of Brachygenys and Haemulon species (Perciformes: Haemulidae) from the Brazilian coast
FIGURE 3 | Haplotype networks of the three Haemulon species in which multiple MOTUs were identified. The dashes represent mutational steps. The size of the circle representing each haplotype is proportional to the number of individuals with that haplotype. The black dots represent missing haplotypes. A. H. steindachneri = Haemulon steindachneri (eastern Pacific); H. atlanticus B = specimens from Colombia, Guatemala, and Venezuela; H. atlanticus A = specimens from Brazil and Colombia; B. H. aurolineatum A = specimens from Bermuda; H. aurolineatum B = specimens from Bermuda; H. aurolineatum C = specimens from the United States; H. aurolineatum D = specimens from Belize, Brazil, Colombia, Jamaica, Venezuela, and the United States; and C. H. plumieri C = specimens from Brazil and Puerto Rico; H. plumieri B = specimens from the United States; H. plumieri A = specimens from the Bahamas, Belize, Haiti, Mexico, Puerto Rico, and the United States.
FIGURE 1 in Molecular identification of Brachygenys and Haemulon species (Perciformes: Haemulidae) from the Brazilian coast
FIGURE 1 | Species of the genera Haemulon and Brachygenys collected off the coast of Brazil during this study. A. Haemulon aurolineatum (16.2 cm of Total Length, TL); B. H. melanurum (18.3 cm of TL); C. H. parra (21.7 cm of TL); D. H. squamipinna (15.9 cm of TL); E. H. plumieri (23.5 cm of TL); F. H. atlanticus (16.1 cm of TL); G. Brachygenys chrysargyrea (16.0 cm of TL).
FIGURE 2 in Molecular identification of Brachygenys and Haemulon species (Perciformes: Haemulidae) from the Brazilian coast
FIGURE 2 | The Maximum Likelihood tree of the Haemulon and Brachygenys specimens, based on the sequences of the mitochondrial cytochrome c oxidase subunit I gene under the TRN+G model. The numbers at each branch indicate the bootstrap values (1000 pseudoreplicates) and those between parentheses are the number of specimens analyzed. The species delimitation methods were ABGD, PTP, and GMYC (see Material and Methods section).
Fig. 1 in Molecular identification of Atlantic goliath grouper Epinephelus itajara (Lichtenstein, 1822) (Perciformes: Epinephelidae) and related commercial species applying multiplex PCR
Fig. 1. Phylogrambasedontheamplificationofthesequence of the Cytochrome Oxidase I gene of the commerciallyexploited species of fishes of the families Epinephelidae and Polyprion americanus (Polyprionidae). The samples collected in the present study are underlined and those obtained from the GenBank database appear together with their accession numbers.
Figure 1 in Molecular identification of mimetic Mock Viper, Psammodynastes pulverulentus (Boie, 1827) (Reptilia: Squamata: Lamprophiidae) from Northeast India
Figure 1. (A) Map showing the distribution of P. pulverulentus in South and Southeast Asian countries. Green circle indicates the collection locality of P. pulverulentus from Mizoram state in northeast India. (B) Live photographs of P. pulverulentus collected from northeast India andthe processed hemipenis showing its sulcal (left) and asulcal (right) surfaces. (C) Bayesian phylogeny based on partial mtCytb gene inferred the phylogenetic relationship of P. pulverulentus with all extant Ophidian families and subfamilies. Numbers at internal branches indicate posterior probabilities support. (D) TCS networks showed distinct haplotype of P. pulverulentus collected from northeast India, compared with other collection localities (China and Myanmar). The estimated haplotypes are shown in different colors as represent by collection sites marked in the phylogeny.
FIG. 6 in Molecular identifications and descriptions of the tadpoles of Rhacophorus kio Ohler & Delorme, 2006 and Rhacophorus rhodopus Liu & Hu, 1960 (Amphibia: Anura: Rhacophoridae)
FIG. 6. — Rhacophorus rhodopus Liu & Hu, 1960 (MNHN 2010.1107, stage 37): A, buccal floor; B, buccal roof. Scale bars: 1 mm.
FIG. 5 in Molecular identifications and descriptions of the tadpoles of Rhacophorus kio Ohler & Delorme, 2006 and Rhacophorus rhodopus Liu & Hu, 1960 (Amphibia: Anura: Rhacophoridae)
FIG. 5. — Drawings and scanning electron micrographs of the tadpole of Rhacophorus rhodopus Liu & Hu, 1960, MNHN 2010.1125, stage 36: A, dorsal view; B, lateral view; C, oral disc; D, some keratodonts of the row A2 of the tadpole MNHN 2010.1106, stage 36. Scale bars: A, B, 10 mm; C, 1 mm; D, 10 µm.
FIG. 4 in Molecular identifications and descriptions of the tadpoles of Rhacophorus kio Ohler & Delorme, 2006 and Rhacophorus rhodopus Liu & Hu, 1960 (Amphibia: Anura: Rhacophoridae)
FIG. 4. — Rhacophorus kio Ohler & Delorme, 2006 (MNHN 2010.1143, stage 34): A, buccal floor; B, buccal roof. Scale bars: 1 mm.
FIG. 3. — A, B in Molecular identifications and descriptions of the tadpoles of Rhacophorus kio Ohler & Delorme, 2006 and Rhacophorus rhodopus Liu & Hu, 1960 (Amphibia: Anura: Rhacophoridae)
FIG. 3. — A, B, photographs of dorsal (A) and lateral (B) views of Rhacophorus kio Ohler & Delorme, 2006 (MNHN 2010.1072, stage 36, BL 20.3 mm, voucher DNA) with life coloration; C, D, photographs of dorsal (C) and lateral (D) views of Rhacophorus rhodopus Liu & Hu, 1960 (MNHN 2010.1131, stage 36, TL 44.4 mm) with colours in preservative.
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.