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.
3,507
datasets available to search
ShareScore release 0.9.0
Dataset results
3,507 results for “Species identification”
Fig. 3 in Morphological and molecular identification of cyathostomine gastrointestinal nematodes of Murshidia and Quilonia species from Asian elephants in Myanmar
Fig. 3. Photomicrographs of Murshidia neveulemairei. A, anterior end of a female, showing the appearance of plumose sculpturing on anterior portion of oesophagus (arrows); B, posterior extremity of a female, showing anus (arrow) and vulva (*); C, dorsal ray of bursa of a male, showing two branches (arrows), in which the anterior branch is bifurcated in the distal half (*).
Fig. 1 in Morphological and molecular identification of cyathostomine gastrointestinal nematodes of Murshidia and Quilonia species from Asian elephants in Myanmar
Fig. 1. Photomicrographs of Murshidia falcifera. A, anterior end of a female, showing the appearance of two lateral lips of mouth collar with prominent head papillae (arrows) and coronal leaflets (*); B, head of a male, showing cuticular lining of buccal capsule (arrows) and funnel-shaped throat (*); C, dorsal ray of bursa of a male, showing three branches, in which anterior branch is composed of two sub-branches (arrows) and the posterior one is longer (*); D, posterior end of a female, showing anus (arrow).
Fig. 6 in Molecular identification of two Eimeria species, E. uekii and E. raichoi as type B, in wild Japanese rock ptarmigans, Lagopus muta japonica
Fig. 6. Histopathologic sections of ceca which were obtained from dead chicks infected with Eimeria spp. Arrowhead indicates macrogametocytes with a prominent wall-forming body (A), and arrows indicate zygotes or early oocysts, which are surrounded by an oocyst wall (A and B). Pathological lesions could not be observed because of severe degradation after death. Scale bars indicate 20 μm.
Fig. 3 in Molecular identification of two Eimeria species, E. uekii and E. raichoi as type B, in wild Japanese rock ptarmigans, Lagopus muta japonica
Fig. 3. Phylogram of E. uekii, type B, other Eimeria spp., and related parasites (Cyclospora spp.) inferred by the neighbor-joining method using partial 18S rRNA gene sequences. Accession numbers and derived hosts are shown in parentheses. Scale bar represents substitutions per nucleotide, and bootstrap values are indicated (> 1000). Cystoisospora spp. are used as an outgroup taxon.
Fig. 4 in Molecular identification of two Eimeria species, E. uekii and E. raichoi as type B, in wild Japanese rock ptarmigans, Lagopus muta japonica
Fig. 4. Phylogram of E. uekii, type B, and other related Eimeria spp. inferred by the neighbor-joining method using partial mitochondrial cytochrome c oxidase subunit I gene sequences. Accession numbers and derived hosts are shown in parentheses. Scale bar represents substitutions per nucleotide, and bootstrap values are indicated (> 1000). Toxoplasma gondii is used as an outgroup taxon.
Fig. 2 in Molecular identification of two Eimeria species, E. uekii and E. raichoi as type B, in wild Japanese rock ptarmigans, Lagopus muta japonica
Fig. 2. Eimeria oocysts detected in the feces of Japanese rock ptarmigans. (A) E. uekii and (B) type B. Scale bars indicate 10 μm.
Fig. 1 in Molecular identification of two Eimeria species, E. uekii and E. raichoi as type B, in wild Japanese rock ptarmigans, Lagopus muta japonica
Fig. 1. Location of three sampled areas in Japan, Mt. Tateyama (36̊35′N, 137̊36′E), Norikuradake (36̊6′N, 137̊33′E), and Kitadake (35̊40′N, 138̊14′E) (triangle boxes 1–3).
Fig. 5 in Molecular identification of two Eimeria species, E. uekii and E. raichoi as type B, in wild Japanese rock ptarmigans, Lagopus muta japonica
Fig. 5. Composite line drawing of oocyst of Eimeria raichoi n. sp (previously referred as type B). Scale bars indicate 10 μm.
Fig. 1 in Toxocariasis in Carnivora from Argentinean Patagonia: Species molecular identification, hosts, and geographical distribution
Fig. 1. Collection sites of specimens of Felidae, Mustelidae, and Canidae in Lanín and Nahuel Huapi National Parks from Argentinean Patagonia.
Fig. 11 in Identification of 12 radiation-resistant bacterial species in the phylum Proteobacteria new to Korea
Fig. 11. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the species Oryzomicrobium terrae. Bootstrap values (>70%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 and 0.02 substitutions per nucleotide position, respectively.
Fig. 7 in Identification of 12 radiation-resistant bacterial species in the phylum Proteobacteria new to Korea
Fig. 7. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the species Arthrobacter nitrophenolicus. Bootstrap values (>70%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 and 0.02 substitutions per nucleotide position, respectively.
Fig. 1 in Identification of 12 radiation-resistant bacterial species in the phylum Proteobacteria new to Korea
Fig. 1. Transmission electron micrographs of the strains isolated in this study. Strains: a, BT434; b, BT368; c, BT370; d, BT239; e, BT339; f, BT427; g, BT362; h, BT250; i, BT338; j, BT344; k, BT346; l, BT364.
Fig. 14 in Identification of 12 radiation-resistant bacterial species in the phylum Proteobacteria new to Korea
Fig. 14. UV resistance graph of the strains isolated in this study. Survival rates of D. radiodurans R1T (), strains () and E. coli K12 () are ■ ● ◆ also shown. Strains: a, BT434; b, BT368; c, BT370; d, BT239; e, BT339; f, BT427; g, BT362; h, BT250; i, BT338; j, BT344; k, BT346; l, BT364.
Fig. 8 in Identification of 12 radiation-resistant bacterial species in the phylum Proteobacteria new to Korea
Fig. 8. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the species Pseudomonas reidholzensis. Bootstrap values (>70%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 and 0.02 substitutions per nucleotide position, respectively.
Fig. 13 in Identification of 12 radiation-resistant bacterial species in the phylum Proteobacteria new to Korea
Fig. 13. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the species Sphingomonas azotifigens. Bootstrap values (>70%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 and 0.02 substitutions per nucleotide position, respectively.
Fig. 4 in Identification of 12 radiation-resistant bacterial species in the phylum Proteobacteria new to Korea
Fig. 4. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the species Variovorax gossypii. Bootstrap values (>70%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 and 0.02 substitutions per nucleotide position, respectively.
Fig. 10 in Identification of 12 radiation-resistant bacterial species in the phylum Proteobacteria new to Korea
Fig. 10. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the species Rhizobium alamii. Bootstrap values (>70%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 and 0.02 substitutions per nucleotide position, respectively.
Fig. 9 in Identification of 12 radiation-resistant bacterial species in the phylum Proteobacteria new to Korea
Fig. 9. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the species Microvirga lotononidis. Bootstrap values (>70%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 and 0.02 substitutions per nucleotide position, respectively.
Fig. 3 in Identification of 12 radiation-resistant bacterial species in the phylum Proteobacteria new to Korea
Fig. 3. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the species Paraburkholderia kirstenboschensis. Bootstrap values (>70%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 and 0.02 substitutions per nucleotide position, respectively.
Fig. 12 in Identification of 12 radiation-resistant bacterial species in the phylum Proteobacteria new to Korea
Fig. 12. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the species Sphingomonas sanguinis. Bootstrap values (>70%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 and 0.02 substitutions per nucleotide position, respectively.
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.