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105 results for “Material characterization”
Supplementary material 3 from: Wu Y-A, Gao J-W, Cheng X-F, Xie M, Yuan X-P, Liu D, Song R (2020) Characterization and comparative analysis of the complete mitochondrial genome of Azygia hwangtsiyui Tsin, 1933 (Digenea), the first for a member of the family Azygiidae. ZooKeys 945: 1-16. https://doi.org/10.3897/zookeys.945.49681
Table S3
Supplementary material 2 from: Wu Y-A, Gao J-W, Cheng X-F, Xie M, Yuan X-P, Liu D, Song R (2020) Characterization and comparative analysis of the complete mitochondrial genome of Azygia hwangtsiyui Tsin, 1933 (Digenea), the first for a member of the family Azygiidae. ZooKeys 945: 1-16. https://doi.org/10.3897/zookeys.945.49681
Table S2
Supplementary material 5 from: Wu Y-A, Gao J-W, Cheng X-F, Xie M, Yuan X-P, Liu D, Song R (2020) Characterization and comparative analysis of the complete mitochondrial genome of Azygia hwangtsiyui Tsin, 1933 (Digenea), the first for a member of the family Azygiidae. ZooKeys 945: 1-16. https://doi.org/10.3897/zookeys.945.49681
Figure S2
Genomic characterization and curation of UCEs improves species tree reconstruction: Supplementary Material S1
<p>Ultraconserved genomic elements (UCEs) are generally treated as independent loci in phylogenetic analyses. The identification pipeline for UCE probes does not require prior knowledge of genetic identity, only selecting loci that are highly conserved, single copy, without repeats, and of a particular length. Here we characterized UCEs from 11 phylogenomic studies across the animal tree of life, from birds to marine invertebrates. We found that within vertebrate lineages, UCEs are mostly intronic and intergenic, while in invertebrates, the majority are in exons. We then curated 4 different sets of UCE markers by genomic category from 5 different studies including: birds, mammals, fish, Hymenoptera (ants, wasps, and bees) and Coleoptera (beetles). Of genes captured by UCEs, we find that many are represented by 2 or more UCEs, corresponding to non-overlapping segments of a single gene. We considered these UCEs to be non-independent, merged all UCEs that belonged to a particular gene, constructed gene and species trees, and then evaluated the subsequent effect of merging co-genic UCEs on gene and species tree reconstruction. Average bootstrap support for merged UCE gene trees was significantly improved across all datasets apparently driven by the increase in loci length. Additionally, we conducted simulations and found that gene trees generated from merged UCEs were more accurate than those generated by unmerged UCEs. As loci length improves gene tree accuracy, this modest degree of UCE characterization and curation impacts downstream analyses and demonstrates the advantages of incorporating basic genomic characterizations into phylogenomic analyses.<br> </p>
[Additional Materials] - Characterization of the Growing From the Tip as Robot Locomotion Strategy
<p>Additional materials related to the paper "Characterization of the Growing From the Tip as Robot Locomotion Strategy" (<a href="https://doi.org/10.3389/frobt.2019.00045">https://doi.org/10.3389/frobt.2019.00045</a>).</p>
Supplementary material 1 from: Wang I-C, Lin H-D, Liang C-M, Huang C-C, Wang R-D, Yang J-Q, Wang W-K (2020) Complete mitochondrial genome of the freshwater fish Onychostoma lepturum (Teleostei, Cyprinidae): genome characterization and phylogenetic analysis. ZooKeys 1005: 57-72. https://doi.org/10.3897/zookeys.1005.57592
Table S1
Supplementary material 1 from: Shan W, Tursun M, Zhou S, Zhang Y, Dai H (2021) Complete mitochondrial genome sequence of Lepus yarkandensis Günther, 1875 (Lagomorpha, Leporidae): characterization and phylogenetic analysis. ZooKeys 1012: 135-150. https://doi.org/10.3897/zookeys.1012.59035
Figure S1a, S1b
Supplementary material 1 from: Zarev Y (2023) Isolation and characterization of 3- O-caffeoyloleanolic acid from Robinia pseudoacacia stem bark. Pharmacia 70(4): 1209-1212. https://doi.org/10.3897/pharmacia.70.e110402
Supplementary images
Supplementary material 1 from: Abdullah T, Al-Kinani K (2024) Propranolol nanoemulgel: Preparation, in-vitro and ex-vivo characterization for a potential local hemangioma therapy. Pharmacia 71: 1-12. https://doi.org/10.3897/pharmacia.71.e115330
Supplementary information
Supplementary material 2 from: Corbin LA-J, Awde DN, Richards MH (2021) Phenological and social characterization of three Lasioglossum (Dialictus) species inferred from long-term trapping collections. Journal of Hymenoptera Research 88: 17-38. https://doi.org/10.3897/jhr.88.73220
Figure S2. Scoring systems for mandibular wear (MW) and wing wear (WW).
Supplementary material 1 from: Corbin LA-J, Awde DN, Richards MH (2021) Phenological and social characterization of three Lasioglossum (Dialictus) species inferred from long-term trapping collections. Journal of Hymenoptera Research 88: 17-38. https://doi.org/10.3897/jhr.88.73220
Figure S1. Right forewing of an L. hitchensi female.
Supplementary material 3 from: Corbin LA-J, Awde DN, Richards MH (2021) Phenological and social characterization of three Lasioglossum (Dialictus) species inferred from long-term trapping collections. Journal of Hymenoptera Research 88: 17-38. https://doi.org/10.3897/jhr.88.73220
Figure S3. Scoring systems for ovarian development scores.
Supplementary material 5 from: Suntronpong A, Thapana W, Twilprawat P, Prakhongcheep O, Somyong S, Muangmai N, Peyachoknagul S, Srikulnath K (2017) Karyological characterization and identification of four repetitive element groups (the 18S – 28S rRNA gene, telomeric sequences, microsatellite repeat motifs, Rex retroelements) of the Asian swamp eel (Monopterus albus). Comparative Cytogenetics 11(3): 435-462. https://doi.org/10.3897/compcytogen.v11i3.11739
Supplementary Table 5 : Data type: Table
Supplementary material 4 from: Suntronpong A, Thapana W, Twilprawat P, Prakhongcheep O, Somyong S, Muangmai N, Peyachoknagul S, Srikulnath K (2017) Karyological characterization and identification of four repetitive element groups (the 18S – 28S rRNA gene, telomeric sequences, microsatellite repeat motifs, Rex retroelements) of the Asian swamp eel (Monopterus albus). Comparative Cytogenetics 11(3): 435-462. https://doi.org/10.3897/compcytogen.v11i3.11739
Supplementary Table 4 : Data type: Table
Supplementary material 1 from: Suntronpong A, Thapana W, Twilprawat P, Prakhongcheep O, Somyong S, Muangmai N, Peyachoknagul S, Srikulnath K (2017) Karyological characterization and identification of four repetitive element groups (the 18S – 28S rRNA gene, telomeric sequences, microsatellite repeat motifs, Rex retroelements) of the Asian swamp eel (Monopterus albus). Comparative Cytogenetics 11(3): 435-462. https://doi.org/10.3897/compcytogen.v11i3.11739
Supplementary Table 1 : Data type: Table
Supplementary material 3 from: Suntronpong A, Thapana W, Twilprawat P, Prakhongcheep O, Somyong S, Muangmai N, Peyachoknagul S, Srikulnath K (2017) Karyological characterization and identification of four repetitive element groups (the 18S – 28S rRNA gene, telomeric sequences, microsatellite repeat motifs, Rex retroelements) of the Asian swamp eel (Monopterus albus). Comparative Cytogenetics 11(3): 435-462. https://doi.org/10.3897/compcytogen.v11i3.11739
Supplementary Table 3 : Data type: Table
Supplementary material 7 from: Suntronpong A, Thapana W, Twilprawat P, Prakhongcheep O, Somyong S, Muangmai N, Peyachoknagul S, Srikulnath K (2017) Karyological characterization and identification of four repetitive element groups (the 18S – 28S rRNA gene, telomeric sequences, microsatellite repeat motifs, Rex retroelements) of the Asian swamp eel (Monopterus albus). Comparative Cytogenetics 11(3): 435-462. https://doi.org/10.3897/compcytogen.v11i3.11739
Supplementary Figure 2 : Data type: Image
Supplementary material 2 from: Suntronpong A, Thapana W, Twilprawat P, Prakhongcheep O, Somyong S, Muangmai N, Peyachoknagul S, Srikulnath K (2017) Karyological characterization and identification of four repetitive element groups (the 18S – 28S rRNA gene, telomeric sequences, microsatellite repeat motifs, Rex retroelements) of the Asian swamp eel (Monopterus albus). Comparative Cytogenetics 11(3): 435-462. https://doi.org/10.3897/compcytogen.v11i3.11739
Supplementary Table 2 : Data type: Table
Supplementary material 6 from: Suntronpong A, Thapana W, Twilprawat P, Prakhongcheep O, Somyong S, Muangmai N, Peyachoknagul S, Srikulnath K (2017) Karyological characterization and identification of four repetitive element groups (the 18S – 28S rRNA gene, telomeric sequences, microsatellite repeat motifs, Rex retroelements) of the Asian swamp eel (Monopterus albus). Comparative Cytogenetics 11(3): 435-462. https://doi.org/10.3897/compcytogen.v11i3.11739
Supplementary Figure 1 : Data type: Image
Supplementary material 2 from: Li J, Lin R-R, Zhang Y-Y, Hu K-J, Zhao Y-Q, Li Y, Huang Z-R, Zhang X, Geng X-X, Ding J-H (2018) Characterization of the complete mitochondrial DNA of Theretra japonica and its phylogenetic position within the Sphingidae (Lepidoptera, Sphingidae). ZooKeys 754: 127-139. https://doi.org/10.3897/zookeys.754.23404
List of annotated mitochondrial genes of T. japonica :
ScienceDex guides
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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.