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Fig. 2 in Detection and quantification of house mouse Eimeria at the species level - Challenges and solutions for the assessment of coccidia in wildlife
Fig. 2. Phylogenetic trees based on 18S rRNA and COI sequences. Sequences of 18S A) and COI B) were used to infer the molecular identification of wild-derived isolates of Eimeria. In both phylogenies, our isolates clustered in three groups one close to E. falciformis (red), other close to E. ferrisi (green) and finally one to E. vermiformis (yellow). Numbers in the branches represent the Bayesian posterior probability and the non-parametric bootstrap value. In bold are indicate the reference sequences for each species. CE and IL make reference to sequence derived from cecum or ileum tissue DNA, respectively. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Molecular characterization and phylogenetic analysis of Trypanosoma spp. detected from striped leaf-nosed bats (Hipposideros vittatus) in Zambia
Fig. 2. Phylogeny of Trypanosoma cruzi clade. Phylogenetic trees of Trypanosoma cruzi clade inferred using combined gGAPDH and 18S rRNA gene sequences (1,363 bp). The phylogenetic trees with outgroup (Trypanosoma lewisi) were generated using a maximum likelihood method (A), neighbor joining method (B), and minimum evolution method (C). All bootstrap values from 1,000 replications are shown on the interior branch nodes. Our isolated Trypanosoma spp. are highlighted in bold and under line. GenBank accession numbers used in this phylogeny are listed in Table S1.
Fig. 1 in Cryptosporidium spp. in wild rats (Rattus spp.) from the Hainan Province, China: Molecular detection, species/genotype identification and implications for public health
Fig. 1. Geographical locations of rat sources involved in the present study in Hainan Province, China.
Figure 2 in Detection of helminth parasites in commercialized turtles: threats to native Testudines in northeast India
Figure 2. Stunkardia dilymphosa: (A) Anterior end, ventral view (arrow marks anterior to posterior denoted esophagus, and anterior testis), and (B) Posterior end, ventral view (arrow marks anterior to posterior denoted posterior testis, and eggs).
Fig. 1 in Figs. 6-7 in First Reported Detection of Ips calligraphus (Germar) and Ips grandicollis (Eichhoff) (Coleoptera: Curculionidae) in a Port of Entry and its Surrounding Forest in Spain
Fig. 1. Typhloelmis species distribution in West Texas, USA.
Fig. 1 in Detection of haemosporidian parasites in wild and domestic birds in northern and central provinces of Iran: Introduction of new lineages and hosts
Fig. 1. Diversity of reported lineages in the same hosts in the current study. Frequency and diversity of available lineages of each continent are given from A to C. Plasmodium (A), Haemoproteus (B) and Leucocytozoon (C). The Y axis is the geographic locations (continents) and the X axis is the frequency of known lineages around the world.
Fig. 1 in Taeniid cestodes in Tibetan foxes (Vulpes Ferrilata) detected by copro-PCR: Applications and challenges
Fig. 1. Phylogram of Taenia species, which were found in China, especially in Tibetan Plateau, using the maximum likelihood method generated from partial cox1 (a) and nad1 (b) gene haplotypes. Isolates from Shiqu County were marked with ▴. Sequences from the referential T. polyacantha larva sample collected in Xinyuan County, Xinjiang Autonomous Region, China, shared the same haplotypes with published sequences from Finland marked with ☆. To each sequence, its accession number and geographic region were presented following the taeniid species name and haplotype number. Scale bar was represented in substitutions per nucleotide, and bootstrap values (with 1000 replicates) were marked at the nodes of branches.
Fig. 2 in Thorius narismagnus (Amphibia: Plethodontidae): rediscovery at the type locality and detection of a new population
Fig. 2. Habitat in the Volcán San Martín locality (A) and a specimen (C) collected from it in life (CARIE 0857). Habitat in the Volcán Santa Marta locality (B) and a specimen (D) collected from it in life (CARIE 1251).
Data for Fluorescein-switching-based lateral flow assay for the detection of microRNAs
<p>Data for Fluorescein-switching-based lateral flow assay for the detection of microRNAs</p>
Vegetation Cover Pattern Detecting
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The detection frequency of humans plotted against the detection frequency of cattle herds at each camp number demonstrating a strong linear correlation, as tested using a Pearson's linear correlation test.
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High proper motion objects detected in unTimely W2 band data
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Datasets accompanying Deep generative AI models analyzing circulating orphan non-coding RNAs enable accurate detection of early-stage non-small cell lung cancer
<p>These datasets accompany the manuscript "Deep generative AI models analyzing circulating orphan non-coding RNAs enable accurate detection of early-stage non-small cell lung cancer".</p> <p>The datasets include:</p> <ul> <li> <p><code>metadata.tsv.gz</code> Phenotype information of the samples</p> </li> <li> <p><code>mirna_counts.tsv.gz</code> MicroRNA count matrix (for data normalization)</p> </li> <li> <p><code>oncrna_counts.tsv.gz</code> oncRNA count matrix</p> </li> <li> <p><code>orion/</code> Ensemble of Orion models</p> </li> </ul>
An L-cysteine based sensor for Cu2+ detection applicable for both environmental water and human serum
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IV-YOLO: A Lightweight Dual-Branch Object Detection Network
<p>IV-YOLO 的网络和数据存储</p>
Deep Learning-Based Methodology for Vulnerability Detection in Smart Contracts
<p>智能合约漏洞检测公共数据集</p>
Detection of HBV mRNA in a liver scRNA-seq data set
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HiPHD: Hierarchical Classification for Protein Remote Homology Detection using Graph Neural Networks and Language Models
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Supplementary Data for "Unbiased anchors for reliable genome-wide synteny detection" (Kaether,Remmel,Lemke,Stadler;2024)
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Anomaly Detection on Dynamic Knowledge Graphs
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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.