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Figure 4 in Occlusal surface variations in genetically-identified specimens of the genus Apodemus (Mammalia: Rodentia) distributed in the Northern Anatolia region and three Turkish islands: Gökçeada, Marmara Island, and Bozcaada
Figure 4. The intra- and interspecies schematic diagram of left lower dental variations. Diagram A: refers to the island population of A. sylvaticus, while B: refers to the mainland population of A. sylvaticus. Numbers represent species; 1: A. flavicollis, 2: A. witherbyi, 3: A. sylvaticus, 4: A. uralensis, 5: A. mystacinus. Lowercase letters have been selected as variation characteristics; a: number of cingula in LM1, b: tma in LM1, c: central distoconid in LM1, d: aneroconid complex in LM1, e: number of cingula in LM2, f: central distoconid in LM2.
Figure 1 in Occlusal surface variations in genetically-identified specimens of the genus Apodemus (Mammalia: Rodentia) distributed in the Northern Anatolia region and three Turkish islands: Gökçeada, Marmara Island, and Bozcaada
Figure 1. Map of the locations where the samples were collected and main locations (modified from Çolak et al., 2013) A: The Dardanelles, B: The Bosphorus, C: Kızılırmak, D: Melet River, E: Çoruh River, a: Marmara Adası, b: Gökçeada, c: Bozcaada, 1-Ardahan, 2-Artvin, 3-Rize, 4-Trabzon, 5-Giresun, 6-Ordu, 7-Tokat, 8-Samsun, 9-Sinop, 10-Çorum, 11-Kastamonu, 12-Zonguldak, 13-Bolu, 14-Düzce, 15-Kocaeli, 16-İstanbul, 17-Bursa, 18-Tekirdağ, 19-Kırklareli, 20-Balıkesir, 21-Edirne, 22-Çanakkale.
Fig. 2. The PCR products identified within the 18S in Usefulness of PCR-RFLP of 18S rRNA gene for rapid post-mortem diagnostics of highly pathogenic Eimeria spp. (Apicomplexa: Eimeriidae) of European bison, Bison bonasus L. with histopathological correlation
Fig. 2. The PCR products identified within the 18S rRNA of Eimeria bovis following digestion with two restriction endonucleases: AluI recognising AG∧CT and Hin1II recognising CATG∧. M1: GeneRuler 100 bp Plus DNA Ladder (Thermo Fisher Scientific); M2: GeneRuler 50bp DNA Ladder (Thermo Fisher Scientific); lane 1: European bison colon wall tissue; lane 2: European bison colon wall tissue after digestion; lane 3: E. bovis oocysts of European bison; lane 4: E. bovis oocysts of European bison after digestion.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Joseph Henri Rispaud, <a href="http://www.wikidata.org/entity/Q128490596">http://www.wikidata.org/entity/Q128490596</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Americus Featherman, <a href="http://www.wikidata.org/entity/Q21512731">http://www.wikidata.org/entity/Q21512731</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Figs. 7-10 in Development of a training program to identify invasive weevils in the Caribbean basin and the United States
Figs. 7-10. Hands-on student training (7), and weevil identification process (8 and 9), image-based selection of diagnostic characters that leads to species identification in question (10), spreadsheet on a species with embedded brief introduction, distribution, hosts, damage, biological and ecological notes, and bibliography.
Figs. 1-6 in Development of a training program to identify invasive weevils in the Caribbean basin and the United States
Figs. 1-6. Red palm weevil (1), and South American palm weevil (2), South American palm weevil damage (3, 4, 5), and red ring disease symptom (6). Arrows 3 and 4 show early and late infestation of South American palm weevil, arrow 5 shows a full-grown larva and its damage, arrow 6 shows the cross section of coconut palm with red ring disease.
Fig. 4. Phylogenetic analysis. Molecular analyses identified the specimens collected from CBW2 and CBW3 in Crassicaudiasis in three geographically and chronologically distant Cuvier's beaked whales (Ziphius cavirostris) stranded off Brazil
Fig. 4. Phylogenetic analysis. Molecular analyses identified the specimens collected from CBW2 and CBW3 as Crassicauda anthonyi, based on the ITS2 region, and supported by phylogenetic analysis. Analysis was performed by MEGA X 10.1 using the maximum likelihood method (1,000 bootstrap replicates) and included Habronema muscae as outgroup. GenBank accession numbers are listed along the species names. Branches with bootstrap support lower than 50% were collapsed. *Sequences obtained in this study.
Fig. 2. Minimum spanning network for haemosporidian mitochondrial DNA cytochrome b haplotypes identified from blood samples collected from Emperor Geese inhabiting the YukonKuskokwim Delta, Alaska during 2006–2016 in Negligible evidence for detrimental effects of Leucocytozoon infections among Emperor Geese (Anser canagicus) breeding on the Yukon-Kuskokwim Delta, Alaska
Fig. 2. Minimum spanning network for haemosporidian mitochondrial DNA cytochrome b haplotypes identified from blood samples collected from Emperor Geese inhabiting the YukonKuskokwim Delta, Alaska during 2006–2016. Circles are drawn proportional to the frequency at which haplotypes were detected. Shading represented the assignment of representative sequences for haplotypes to L. simondi clade A (teal), L. simondi clade B (orange), or other Leucocytozoon (grey) in phylogenetic analyses (see Results and Fig. 5). Lines are drawn proportional to genetic distance and are labeled per the number of mutations represented (except single nucleotide polymorphisms which are unlabeled). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Nematode-induced pathological lesions and alterations of mucin pattern identified in abomasa of wild ruminants
Fig. 2. Histochemical staining of fundic tissue for mucin detection. A. Roe deer, sample from gross lesion. Superficially apparent decreasing PAS positivity at the luminal surface (arrow). PAS, magnification ×100. B. Fallow deer, sample from gross lesion. Residual PAS positivity in the upper pits of abomasum (arrow). PAS, magnification ×100. C. Fallow-deer, sample from gross lesion. Residual mucin located from upper abomasal pits (arrow) content to lower parts, including basal glands. Alcian blue, magnification ×200. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1. Abomasal tissue infected predominantly with A. sidemi. A in Nematode-induced pathological lesions and alterations of mucin pattern identified in abomasa of wild ruminants
Fig. 1. Abomasal tissue infected predominantly with A. sidemi. A. Fallow deer, positive for Ashworthius sidemi. Washed abomasal mucosa with apparent extensive areas of hyperemia (arrowheads) and hemorrhagic lesion in the area of the fundus (arrow). B. Red deer, sample from gross lesion. Part of the abomasum with dispersed round-cellular interstitial inflammation at the base of the glands (arrow) and between abomasal pits (arrowheads). Full findings are accompanied by interstitial edema (asterisk). Hematoxylin and eosin (H&E) staining, magnification ×200. C. Fallow deer, sample from gross lesion. Part of the abomasum with hyperemia, consisting of several groups of vital erythrocytes in the interstitial tissue (arrow), including edema (arrowheads). H&E staining, magnification ×200. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 10 in Wing geometric morphometrics to distinguish and identify Haematobosca flies (Diptera: Muscidae) from Thailand
Fig. 10. Hierarchical agglomerative clustering tree based on shape similarities of test specimens (male as yellow and female as gray) and reference data of Haematobosca sanguinolenta and H. aberrans. Euclidean distances were used for the construction of the tree. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Wing geometric morphometrics to distinguish and identify Haematobosca flies (Diptera: Muscidae) from Thailand
Fig. 2. The topographic map of the Haematobosca fly collection sites in Thailand: Chiang Mai (1), Kanchanaburi (2), and Nakhon Ratchasima (3) (A). The Nzi trap used for fly collection was placed near animal hosts at each collection site (B, C). This map was prepared from the United States Geological Survey (USGS) National Map Viewer available at http://viewer.nationalmap.gov/viewer/, accessed on February 10, 2023.
Fig. 9 in Wing geometric morphometrics to distinguish and identify Haematobosca flies (Diptera: Muscidae) from Thailand
Fig. 9. Factor map of the principal components (PC1, 46% as horizontal axis and PC2, 22% as vertical axis) from wing shape variables of test specimens (male and female) and reference data of Haematobosca sanguinolenta and H. aberrans. Squares represent mean values in each group.
Fig. 8 in Wing geometric morphometrics to distinguish and identify Haematobosca flies (Diptera: Muscidae) from Thailand
Fig. 8. Linear regression between centroid size and the first shape-based principal component (PC) of Haematobosca sanguinolenta (A) and H. aberrans (B). Linear regression prediction is shown by the orange dots. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3. The 10 in Wing geometric morphometrics to distinguish and identify Haematobosca flies (Diptera: Muscidae) from Thailand
Fig. 3. The 10 landmarks on the wing of Haematobosca flies used in the wing geometric morphometric analysis.
Fig. 7 in Wing geometric morphometrics to distinguish and identify Haematobosca flies (Diptera: Muscidae) from Thailand
Fig. 7. Hierarchical agglomerative clustering tree based on shape similarities of each individual for male and female Haematobosca sanguinolenta and H. aberrans. Euclidean distances were used for the construction of the tree.
Fig. 1 in Wing geometric morphometrics to distinguish and identify Haematobosca flies (Diptera: Muscidae) from Thailand
Fig. 1. Heads in the lateral view and the pleura of Haematobosca sanguinolenta (A, B) and H. aberrans (C, D). The anterior and posterior katepisternal setae (arrow) were used to distinguish between both species. Photographs were prepared by the authors.
Fig. 5 in Wing geometric morphometrics to distinguish and identify Haematobosca flies (Diptera: Muscidae) from Thailand
Fig. 5. Mean shape of male (A) and female (B) Haematobosca sanguinolenta and H. aberrans after Procrustes superimposition.
Fig. 6 in Wing geometric morphometrics to distinguish and identify Haematobosca flies (Diptera: Muscidae) from Thailand
Fig. 6. Factor map of the first two principal components (PC1, 47% as horizontal axis and PC2, 33% as vertical axis) of wing shape variables (A) and factor map of the first two discriminant factors (DF1, 66.8% as horizontal axis and DF2, 31.8% as vertical axis, the two discriminant factors represent 98.6% of the total discriminant space) of wing shape variables (B). Each point represents the individuals of male and female Haematobosca sanguinolenta and H. aberrans, and each polygon corresponds to a different species and sex. Squares represent the mean values in each group.
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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.