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Fig. 2 in DNA sequencing confirms meningeal worm (Parelaphostrongylus tenuis) and muscle worm (Parelaphostrongylus andersoni) in white-tailed deer (Odocoileus virginianus): Implications for moose (Alces alces) management
Fig. 2. Summary of Parelaphostrongylus spp. infection in white-tailed deer (Odocoileus virginianus) fecal samples collected in Western Manitoba. Partial CO1 and ITS-2 genetic sequence results found white-tailed deer fecal samples with Parelaphostrongylus andersoni and Parelaphostrongylus tenuis in game hunting area (GHA) 13, 18 and 27 and only P. tenuis infected fecal pellets in GHA 22. GHA 13 and 18 (blue) are areas where moose populations are a management concern whereas GHAs 22 and 27 (yellow) are areas where moose populations are not a management concern. GHAs 18 and 22 were sampled in 2020 (light colors) while GHAs 13 and 27 were sampled in 2021 (dark colors). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in DNA sequencing confirms meningeal worm (Parelaphostrongylus tenuis) and muscle worm (Parelaphostrongylus andersoni) in white-tailed deer (Odocoileus virginianus): Implications for moose (Alces alces) management
Fig. 1. Average dorsal-spined larvae (DSL) prevalence in white-tailed deer (Odocoileus virginianus) fecal samples in each game hunting area (GHA) sampled in Manitoba in 2020 and 2021. For trips, early summer collection was in June, mid-summer was July–August and late summer was August–September. GHA 13 and 18 (blue) are areas where moose populations are a management concern whereas GHAs 22 and 27 (yellow) are areas where moose populations are not a management concern. GHAs 18 and 22 were sampled in 2020 (light colors) while GHAs 13 and 27 were sampled in 2021 (dark colors). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Investigating the pathogens associated with Dermacentor nuttalli and its global distribution: A study integrating metagenomic sequencing, meta-analysis and niche modeling
Fig. 3. Prevalence of pathogens associated with D. nuttalli. If there was only one study included in a certain pathogen, the positive rate would be calculated by the positive number of ticks divided by the total number of detected ticks, and without the 95% confidence interval. If there were more studies, the positive rate and 95% confidence interval would be calculated by meta-analysis.
Fig. 2 in Investigating the pathogens associated with Dermacentor nuttalli and its global distribution: A study integrating metagenomic sequencing, meta-analysis and niche modeling
Fig. 2. Study design and data sources of the meta-analysis. A comprehensive meta-analysis was performed to evaluate D. nuttalli's potential threats based on detected pathogens and geographical distribution positions. The database of D. nuttalli was constructed from four sources, including field surveys, literature review, a reference book, and an online biodiversity database (Global Biodiversity Information Facility, GBIF, https://www.gbif.org).
Fig. 1 in Investigating the pathogens associated with Dermacentor nuttalli and its global distribution: A study integrating metagenomic sequencing, meta-analysis and niche modeling
Fig. 1. Relative pathogen abundance of four D. nuttalli samples and the phylogenomic analysis of four Rickettsia genomes. (A) Pathogen abundance at the family level. (B) Pathogen abundance at the genus level. (C) The phylogenetic tree of four Rickettsia assemblies. The phylogenetic tree of four Rickettsia assemblies (Rickettsia conorii subsp. raoultii str XinjiangF1, Rickettsia conorii subsp. raoultii str XinjiangF2, Rickettsia conorii subsp. raoultii str XinjiangF3, and Rickettsia conorii subsp. raoultii str XinjiangM1) was built with 28 other publicly available established or proposed Rickettsiales species. The tree was inferred by IQ-TREE based on 277 single-copy orthologs identified by OrthoFinder. Anaplasma phagocytophilum and Ehrlichia ruminantium were two outgroup species.
Fig. 5 in Investigating the pathogens associated with Dermacentor nuttalli and its global distribution: A study integrating metagenomic sequencing, meta-analysis and niche modeling
Fig. 5. Global potential distribution of D. nuttalli. The red area indicates greater possibilities of suitability for D. nuttalli, while the blue area is less likely to be suitable for D. nuttalli.
Fig. 4 in Investigating the pathogens associated with Dermacentor nuttalli and its global distribution: A study integrating metagenomic sequencing, meta-analysis and niche modeling
Fig. 4. Geographical distribution of D. nuttalli. D. nuttalli lived mainly between 23◦–53◦ latitude and 76◦–133◦ longitude in the Northern Hemisphere. Triangles represent the locations in prefecture-level regions, while circles represent the distribution locations in county-level regions. The green circles represent points from GBIF, the yellow circles are points from literature, the purple circles represent the points from the field survey and the blue points are points from a reference book. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3. Representative C in Allopatric chromosomal variation in Nematocharax venustus Weitzman, Menezes & Britski, 1986 (Actinopterygii: Characiformes) based on mapping of repetitive sequences
Fig. 3. Representative C-banded karyotypes of Nematocharax venustus from (a) Almada, Gongogi 1, Gongogi 2, Gongogi 3, Jequitinhonha 1, Jequitinhonha 2 and (b) Upper Contas. Bar = 5 µm.
Fig. 5 in Allopatric chromosomal variation in Nematocharax venustus Weitzman, Menezes & Britski, 1986 (Actinopterygii: Characiformes) based on mapping of repetitive sequences
Fig. 5. Representative metaphases for each different pattern reported in populations of Nematocharax venustus showing the hybridization with 18S (magenta) and 5S rDNA probes (green) (double-FISH) and only DAPI staining for (a, b) Almada, Gongogi 1, and Jequitinhonha 1; (c, d) Gongogi 3; (e, f) Gongogi 2; (g, h) Jequitinhonha 2; and (i, j) Upper Contas. The asterisks indicate the chromosomes marked by FISH. Bars = 5 µm.
Fig. 1 in Allopatric chromosomal variation in Nematocharax venustus Weitzman, Menezes & Britski, 1986 (Actinopterygii: Characiformes) based on mapping of repetitive sequences
Fig. 1. Map of Brazil (a) and collection sites (b) of Nematocharax venustus along the Almada (Almada), Contas (Upper Contas, Gongogi 1, 2, and 3), and Jequitinhonha River basins (Jequitinhonha 1 and 2) in the states of Bahia and Minas Gerais.
Fig. 4 in Allopatric chromosomal variation in Nematocharax venustus Weitzman, Menezes & Britski, 1986 (Actinopterygii: Characiformes) based on mapping of repetitive sequences
Fig. 4. Chromosomes of distinct populations of Nematocharax venustus after silver nitrate staining (Ag-NORs), base-specific fluorochrome staining (CMA 3 /DA/DAPI) and FISH with 18S (magenta) and 5S rDNA probes (green). Bar = 5 µm. The FISH with ribosomal probes confirmed the The first pattern, shared by specimens from the Almada occurrence of a single NOR system in most populations. The River and some populations from the Contas (Gongogi 1) only exception refers to one sample in the Jequitinhonha River and Jequitinhonha River basins (Jequitinhonha 1), includes basin (named Jequitinhonha 2), which presented additional 18S rRNA genes at terminal region of short arms of a 18S rDNA sites on long arms in one homologous from pair 8 sm pair (equivalent to Ag-NORs) and 5S rRNA genes at and on short arms of a single chromosomes from pair 10. This interstitial region on short arms of two pairs (16 – sm, and procedure was also informative in revealing four distribution 21 – st). The population from Gongogi 3 differs from this patterns of 18S and 5S rDNA in N. venustus (Fig. 4). pattern by presenting heteromorphic 5S rDNA cistrons
UNITE+INSD 2024 Fungal ITS, ITS1, and ITS2 Reference Sequences and classification
<p>These datasets were created from the 2024 release (Abarenkov et al. 2024) of the UNITE+INSD database as reference sequences for and by dnabarcoder (Vu et al. 2022). The ITS1 and ITS2 sequences were extracted using ITSx (Bengtsson-Palme et al. 2013).</p>
Programmatic Image Sequences for Multi-Disciplinary Applications: 16 Bit TIFF Sequences, HDR FULL RANGE
<p>This dataset is a part of the paper "Defining and Characterizing Programmatic Image Sequences for Multi-Disciplinary Applications". This download is an extended part of the "Spatio-Temporal Noise Sequences: Multipurposed Pseudo-Random Visual Test Signals" project. The main project for this can be found on GitHub <a href="https://github.com/FloFriedrich/STnoise">https://github.com/FloFriedrich/STnoise</a></p>
FIGURE 1 in First record of extinct Paraconularia (Cnidaria, Scyphozoa) from Tethyan sequence (Upper Permian) of Spiti valley, Himachal Himalaya, India
FIGURE 1. Geological map of the Pin River valley, Lahaul and Spiti district of Himachal Pradesh, India, showing location of the fossil specimen demarcated by star.
FIGURE 3. 1 in First record of extinct Paraconularia (Cnidaria, Scyphozoa) from Tethyan sequence (Upper Permian) of Spiti valley, Himachal Himalaya, India
FIGURE 3. 1, Paraconularia embedded in the Micaceous siltstone of the lower part of Gungri Formation, Guling village. 2, Upper Nodular Black Shale Member of the Gungri Formation. 3, Permian-Triassic boundary, Guling village. 4, Ammonite bearing Triassic limestone of Mikin Formation, opposite to Guling village.
FIGURE 4 in First record of extinct Paraconularia (Cnidaria, Scyphozoa) from Tethyan sequence (Upper Permian) of Spiti valley, Himachal Himalaya, India
FIGURE 4. Paraconularia sp. embedded in the micaceous siltstone of the Gungri Formation. 1, View of single face. 2, Close-up view showing well-developed nodes on facial ridge (transverse rib) and interspace. 3, Apertural side showing widely spaced facial ridges, which alternately arranged either side of the midline. 4, Close-up view of the apertural side showing nodes on facial ridge.
FIGURE 8 in Graphic correlation of the upper Eifelian to lower Frasnian (Middle-Upper Devonian) conodont sequences in the Spanish Central Pyrenees and comparison with composite standards from other areas
FIGURE 8. Graphic correlation of the three Compte subfacies area sections. The columns show the observed first occurrences of important taxa in the studied sections, indicated by their projected position on the Pyrenean CS. The numbers represent the taxa listed in the range chart (Figures 5 and 6) and in the Appendix. (CSU: Composite Standard Unit).
FIGURE 10 in Graphic correlation of the upper Eifelian to lower Frasnian (Middle-Upper Devonian) conodont sequences in the Spanish Central Pyrenees and comparison with composite standards from other areas
FIGURE 10. Graphic correlation of four composite standard (CS) databases, three from NW-Gondwana (Anti-Atlas, Pyrenees and Montagne Noire) and one from S-Laurussia (Ardenne) (Golonka, 2000). The standard reference section for the Middle Devonian CS and the Anti-Atlas CS is the Jebel Ou Driss section in the Eastern Anti-Atlas (Morocco) (Belka et al., 1997). The standard reference sections for the Ardenne and Montagne Noire CSs are the Couvin-Givet section and the Pic de Vissou section, respectively. The columns show the observed first occurrences of important taxa in the regional CS's, indicated by their projected position on the Middle Devonian CS. The numbers represent the taxa listed in the range chart (Figures 5–6) and in the Appendix.
FIGURE 9 in Graphic correlation of the upper Eifelian to lower Frasnian (Middle-Upper Devonian) conodont sequences in the Spanish Central Pyrenees and comparison with composite standards from other areas
FIGURE 9. Correlation between the Pyrenean composite standard and the Middle Devonian composite standard. The numbers represent the taxa listed in the range chart (Figures 5 and 6) and Appendix. See also legend in Figure 4.
FIGURE 1. 1 in Graphic correlation of the upper Eifelian to lower Frasnian (Middle-Upper Devonian) conodont sequences in the Spanish Central Pyrenees and comparison with composite standards from other areas
FIGURE 1. 1. Middle Devonian paleogeographic situation with indication of the study area (courtesy of R. Blakey, NAU Geology), 2. Map of Paleozoic rocks on the Iberian Peninsula and position of figure 1.3, 3. Location of the studied Devonian outcrops.
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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.