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”
Figures 2–6 in A reliable and efficient BioPulverizer method in preparing and grinding nematodes for nucleic acid extraction and molecular identification
Figures 2–6 PCR amplification product with primers: (2) PCR products from the seminested primer pairs (NemF and 18Sr2b; NF1 and 18Sr2b) obtained from soil nematode samples with BioPulverizer grinding; (3) PCR amplification with the first cycle of the primer pair (NemF and 18Sr2b) from soil samples without BioPulverizer grinding; (4–5) Two amplification bands, 181 bp with the species-specific primer pair GlyF1/rDNA2 (4) and 477 bp with SCNF1/SCNR1 (5), were amplified for Heterodera glycines; (6) PCR products with the universal primer pair 194F/195R and the species-specific primer pair (Meloidogyne incognita) from potato tuber samples. All molecular markers (M) are 100 bp DNA ladders. The concentrations of agarose gel are 1.8% in Figs 2–3 and 1% in Figs 4–6.
Figure 1 in A reliable and efficient BioPulverizer method in preparing and grinding nematodes for nucleic acid extraction and molecular identification
Figure 1 Equipment used for nematode preparation and grinding. The names of all the equipment are listed above or under each respective one.
Fig. 4 in First record of Atherigona reversura Villeneuve (Diptera: Muscidae) feeding on Bermudagrass (Cynodon dactylon cv. Jiggs, Poaceae) in Brazil: morphological and molecular tools for identification
Fig. 4. Analysis using Bayesian posterior probabilities (values shown) using 10 COI sequences for seven species of Atherigona and Cyrtoneuropsis veniseta.
Fig. 3 in First record of Atherigona reversura Villeneuve (Diptera: Muscidae) feeding on Bermudagrass (Cynodon dactylon cv. Jiggs, Poaceae) in Brazil: morphological and molecular tools for identification
Fig. 3. Atherigona (Atherigona) reversura: (A) trifoliate process, dorsal view; (B) trifoliate process, lateral view; (C) hypopygial prominence, lateral view.
Fig. 5 in Molecular Identification of a Phage-infected Protochlamydia Strain Naturally Harboured by Non-Encysting Naegleria
Fig. 5. Detail of electron microscopy of Naegleria clarki infected by Pcb, showing three enlarged RBs containing filled and empty phages. A normal-size wrinkled EB is also visible. Scale bar: 0.5 µm.
Fig. 4. Epistylis semiciculus n in Morphological and molecular identification of epibiontic sessilid Epistylis semiciculus n. sp. (ciliophora, Peritrichia) from Procambarus clarkia (Crustacea, Decapoda) in China
Fig. 4. Epistylis semiciculus n. sp. drawing from vivo and stained specimens. A. Morphotype I of Epistylis semiciculus n. sp. in vivo. B, C. Morphotype II of Epistylis semiciculus n. sp. in vivo. D. Oral infraciliature Oral. E. Transverse striations. G, germinal kinety; H, haplokinety; P, polykinety; P1–3, infundibular polykineties 1–3. Scale bars: A = 20 μm; B = 400 μm; C = 20 μm.
Fig. 3 in Morphological and molecular identification of epibiontic sessilid Epistylis semiciculus n. sp. (ciliophora, Peritrichia) from Procambarus clarkia (Crustacea, Decapoda) in China
Fig. 3. Microphotographs of stained Epistylis semiciculus n. sp. with protargol stain (A–F) and silver nitrate (G–I). A. Pattern of infraciliature. B. Macronucleus with transverse orientation. C. Macronucleus with longitudinal orientation. D, E, F. Terminate of infundibular polykineties 1–3. G, H. Silver nitrate impregnated transverse striations, arrow shows the pores. I. Macronucleus after silver nitrate impregnated. ATB, aboral trochal band; G, germinal kinety; H, haplokinety; P, polykinety; P1–3, infundibular polykineties 1–3. Scale bars: A, B, C, H, I = 20 μm; D, E, F = 10 μm; G = 5 μm.
Fig. 2 in Morphological and molecular identification of epibiontic sessilid Epistylis semiciculus n. sp. (ciliophora, Peritrichia) from Procambarus clarkia (Crustacea, Decapoda) in China
Fig. 2. Telotrochs of morphotype II of Epistylis semiciculus n. sp. in vivo. A. Apical view of telotroch. B. Oral of telotroch (arrow). C. Oral infraciliature (arrow). D. Transverse striations on oral pellicle (arrow). E. Macronucleus and infraciliature. F. Macronucleus (arrow). ATB, aboral trochal band; CV, Contractile vacuole; Ma, macronucleus; P, polykinety. Scale bars = 10 μm.
Fig. 6 in Morphological and molecular identification of epibiontic sessilid Epistylis semiciculus n. sp. (ciliophora, Peritrichia) from Procambarus clarkia (Crustacea, Decapoda) in China
Fig. 6. Consensus tree constructed from both trees generated by phylogenetic analyses of nuclear ITS1-5.8S-ITS2 sequence. The sequences investigated in the present study are in bold. Numbers on branches indicate the posterior probability (BI) and bootstrap (ML) values, respectively. 1, morphotype I; 2 and 3, morphotype II; 4, Telotrochs of morphotype II.
Fig. 5 in Morphological and molecular identification of epibiontic sessilid Epistylis semiciculus n. sp. (ciliophora, Peritrichia) from Procambarus clarkia (Crustacea, Decapoda) in China
Fig. 5. Consensus tree constructed from both trees generated by phylogenetic analyses of nuclear SSU rDNA sequences. The sequences investigated in the present study are formatted in bold. Numbers at nodes of branches indicate the posterior probability (BI) and bootstrap (ML) values, respectively. 1 and 2, morphotype I; 3, morphotype II; 4, Telotrochs of morphotype II.
Fig. 3 in Molecular identification and phylogenetic analysis of Cryptosporidium, Hepatozoon and Spirometra in snakes from central China
Fig. 3. Maximum likelihood phylogenetic tree of Spirometra based on the cox1 gene. The tree was constructed with the cox1 sequences (444bp) by using the Kimura 2-parameter model with MEGA 7.0; we calculated bootstrap values with 1000 replicates. The representative sequence of Spirometra spagarnas isolated from snakes in this study are in bold print and marked by circles. Scale bar indicates nucleotide substitutions per site.
Fig. 2 in Molecular identification and phylogenetic analysis of Cryptosporidium, Hepatozoon and Spirometra in snakes from central China
Fig. 2. Maximum likelihood phylogenetic tree based on the 18S rRNA gene of Hepatozoon. The phylogenetic tree was constructed with the 18S rRNA gene sequences (670bp) by using the General time reversible model with MEGA 7.0; the bootstrap values were calculated with 1000 replicates. Representative sequences of Hepatozoon detected in this study are in bold print and marked by circles. Scale bar indicates nucleotide substitutions per site.
Fig. 1 in Molecular identification and phylogenetic analysis of Cryptosporidium, Hepatozoon and Spirometra in snakes from central China
Fig. 1. Maximum likelihood phylogenetic tree based on the SSU gene of Cryptosporidium. The phylogenetic tree SSU gene (834bp) was constructed by using the Kimura 2-parameter model with MEGA 7.0 and the bootstrap values were calculated with 1000 replicates. Representative sequences of Cryptosporidium detected in snakes in this study are in bold print and marked by circles. Scale bar indicates nucleotide substitutions per site.
Figure 6 in Intensity and prevalence of some crustacean fish parasites in Turkey and their molecular identification
Figure 6. Livoneca punctata on gill of Alosa immaculata (A), manca (B, D), adult female L. punctata and its juvenile manca (C).
Figure 5 in Intensity and prevalence of some crustacean fish parasites in Turkey and their molecular identification
Figure 5. Infestation of Nerocila spp. on Platichthys flesus (A) and infestation of Nerocila bivittata on Pegusa nasuta (B), mechanic injury on caudal peduncle of sole (C), clear lesions on caudal fin of sea bass (D. labrax) (D).
Figure 12 in Morphological, ultrastructural, and molecular identification of a new microsporidian pathogen isolated from Crepidodera aurata (Coleoptera, Chrysomelidae)
Figure 12. Phylogenetic relationships among microsporidium species isolated from different hosts based on SSUrRNA. The tree was constructed by maximum likelihood method using Kimura two-parameter distance and evaluated by 1000 bootstrap replications with the MEGA.6 program. Thelonia contejeani and Thelonia parastaci were used as outgroups in the analysis.
Fig. 3 in Molecular identification of Taenia hydatigena and Mesocestoides species based on copro-DNA analysis of wild carnivores in Mongolia
Fig. 3. Phylogenetic tree based on a partial sequence of tapeworms obtained by the maximum likelihood method was conducted using the HKY + G + I nucleotide substitution model. Numbers above branches are percent bootstrap values based on 1,000 replicates. Bootstrap value> 70% are shown. (a) Phylogenetic tree based on the cox1 sequences of T. hydatigenaand Mesocestoides sp. isolates available in the GenBankṜ database were included. Hymenolepis nana served as an out-group. (b) Phylogenetic analysis of the 12SrRNA partial sequence of T. hydatigena, Mesocestoides sp., and M. lineatus inferred using the sequence distance method and maximum likelihood. Hymenolepis nana was used as an out-group.
Fig. 1 in Molecular identification of Taenia hydatigena and Mesocestoides species based on copro-DNA analysis of wild carnivores in Mongolia
Fig. 1. Map of Mongolia showing the distribution of Taenia hydatigena (pentangle), Mesocestoides sp.-1 (square), and Mesocestoides sp.-2 (circle) by province detected by molecular identification of fecal samples from wild carnivores. Mongolia consists of 21 provinces: Arkhangai (Akh), Bayankhongor (Bkh), Bayan-Ulgii (BU), Bulgan (BG), Darkhan-Uul (DU), Dornogobi (DoG), Dundgobi (DuG), Govi-Altai (GA), Khentii (KhE), Khovd (KhO), Khuvsgul (KhU), Orkhon-Uul (OU), Selenge (SE), Sukhbaatar (SB), Tuv (TU), Umnu-Gobi (UG), Uvs (Uv), Uvurkhangai (Ukh), Zavkhan (ZKh), Dornod (D), and Gobi-Sumber (GS). The field survey was conducted in all provinces, unless Dornod (D), and GS (Gobi-Sumber). Ulaanbaatar (U) is the capital city of Mongolia. The field survey was conducted in all provinces, unless Dornod (D), and GS (Gobi-Sumber). Ulaanbaatar (U) is the capital city of Mongolia located in Tuv Province.
Fig. 7 in The morphological and molecular identification of the tapeworm, Taenia lynciscapreoli, in intermediate and definitive hosts in Poland
Fig. 7. Large rostellar hooks: A - larvae T. lynciscapreoli from roe deer; B – larvae T. hydatigena from wild boar, C - larvae T. hydatigena from moose.
Fig. 6 in The morphological and molecular identification of the tapeworm, Taenia lynciscapreoli, in intermediate and definitive hosts in Poland
Fig. 6. Phylogenetic tree of Taenia lynciscapreoli haplotypes, constructed by Bayesian inference (BI) analysis using MrBayes version 3.2. The HKY + G + I model was chosen as the best-fitting nucleotide substitution model using JModelTest version 2.1.10 software (Guindon and Gascuel, 2003; Darriba et al., 2012). Sequences of Echinococcus granulosus sensu stricto GenBank accession number AB688619 and Echinococcus multilocularis GenBank accession number AB461413 were used as the outgroup. Analysis was run for 1,000,000 generations, with 250,000 generations discarded as 'burn-in'. Nodal support is indicated as Bayesian posterior probabilities. Sequences generated in this study are shown in bold. The scale bars are proportional to the number of substitutions per site.
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.