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8,038 results for “validation.”
indicate branches. above MrBayes numbers by inferred The . supports Ixodes of probability subgenera 22 posterior the of Inference 16 from Bayesian ticks of indicate genomes mitochondrial branches below 40 numbers of The sequences. RAxML nucleotide by the inferred from support inferred bootstrap Phylogenies Likelihood . 2 FIGURE Maximum in A new subgenus, Australixodes n. subgen. (Acari: Ixodidae), for the kiwi tick, Ixodes anatis Chilton, 1904, and validation of the subgenus Coxixodes Schulze, 1941 with a phylogeny of 16 of the 22 subgenera of Ixodes Latreille, 1795 from entire mitochondrial genome sequences
indicate branches. above MrBayes numbers by inferred The . supports Ixodes of probability subgenera 22 posterior the of Inference 16 from Bayesian ticks of indicate genomes mitochondrial branches below 40 numbers of The sequences. RAxML nucleotide by the inferred from support inferred bootstrap Phylogenies Likelihood . 2 FIGURE Maximum
The Data and Codes for Training, Testing, and Prognostic Validation of A ResNet Ensemble for Moist Physics (ResCu-en)
<p>Note: the monthly averaged NCAM, SPCAM, and CAM5 results are uploaded as *_h0.tar.gz!</p> <p>The data and codes for Training, Testing, and Prognostic Validation of A ResNet Ensemble for Moist Physics (ResCu-en) are stored in this repositary.</p> <p>This project is built on python3.7 and tensorflow-gpu2.3.0, and the scripts for analysis and plots are on jupyter-notebook.</p> <p>Please make sure to install all python packages used in an environment.</p> <p>Please read the ReadME-2.txt.</p> <p>For the entire training and testing datasets in both the baseline and +4K SST climates. Please download them from Dryad (<a href="https://doi.org/10.6075/J0CZ35PP">https://doi.org/10.6075/J0CZ35PP</a> and https://doi.org/10.6075/J03J3BGF), Onedrive (https://1drv.ms/u/s!ArKTPPs6U_9DjxPJeSReKlbsLzyh?e=PDlWYJ), and Dropbox (https://www.dropbox.com/s/yc4fx35laqwt0fu/SPCAM_ML_4K.tar.gz?dl=0 and https://www.dropbox.com/s/4pxahzwt9v55u2m/SPCAM_ML_RAD.tar.gz?dl=0).</p>
Fig. 3 in Validation and uncertainty estimation of analytical method for quantification of phytochelatins in aquatic plants by UPLC-MS
Fig. 3. Contribution of the sources (%) to the total uncertainty for the quantification of GSH and PCs in the L. gibba.
Fig. 1. a in Validation and uncertainty estimation of analytical method for quantification of phytochelatins in aquatic plants by UPLC-MS
Fig. 1. a) Total ion chromatogram (TIC) for the L. gibba sample, b) Extracted ion chromatogram of GSH and PCs from the TIC of L. gibba, c) Extracted ion chromatogram of GSH and PCs from the standard solution at 10 μg mL 1.
Fig. 2 in Validation and uncertainty estimation of analytical method for quantification of phytochelatins in aquatic plants by UPLC-MS
Fig. 2. Ishikawa diagram representing the main sources of uncertainties for measuring GSH and PC concentration in aquatic plants.
Comparison of Tele Dentistry with Clinical Diagnosis (on-site) by Employing ICDAS in the Population of Rawalpindi & Islamabad: A Validation Study
<p>The study was cross sectional validation study was done from Jan 2022 to Jan 2023 in private<br> clinics of Rawalpindi and Islamabad in which tele dental diagnosis was compared with onsite<br> clinical diagnosis by using the instrument of ICDAS. A dentist primarily examined the patient<br> caries than that same patient was diagnosed by another dentist through photographs, which<br> were taken by patients’ attendant on verbal guidelines by a dentist. later, this whole data was<br> assessed by a third dentist.</p>
Raw data: Validation of a method for surveillance of nanoparticles in mussels using single particle inductively coupled plasma mass spectrometry
<p>The compressed archive contains SP-ICP-MS data to reproduce results for the paper with the working title "Validation of a method for surveillance of nanoparticles in mussels using single particle inductively coupled plasma mass spectrometry"".</p> <p>The remaining data to produce all other results, visualizations and statistics for the paper is included in the supplementary or GitHub. Associated code is deposited in a GitHub repository, github.com/arebruvold/mussel_validation .</p>
Dataset associated to the manuscript "A novel method for characterising the inter- and intra-lake variability of CH4 emissions: validation and application across a latitudinal transect in the Alpine region"
<p>The dataset comprises data collected from nine specifically chosen lakes located across the eastern Alps during the ALCH4 project. The primary objective of this project was to assess the efficacy of a mobile Eddy Covariance platform in characterizing CH4 emissions. The field measurements were conducted throughout the ice-free periods in the years 2018 and 2019. This dataset encompasses: i) the EddyPro 7.0.6 (LI-COR Inc., Lincoln, NE, USA) output for all Eddy Covariance campaigns; ii) outcomes of the chamber measurements; iii) data obtained from surface samples. This research was funded by the Autonomous Province of Bozen/Bolzano.</p>
FIGURE 6. Phylogenetic relationships between Anthidium melanopygum and A in DNA barcoding confirms the validity of Anthidium melanopygum Friese, 1917 stat. nov. (Hymenoptera: Megachilidae) as a distinct species of Western Asia
FIGURE 6. Phylogenetic relationships between Anthidium melanopygum and A. spiniventre as inferred from mitochondrial COI DNA sequences. The phylogram shows the best-scoring maximum likelihood tree. Numbers shown at nodes are maximum likelihood bootstrap values based on 1000 bootstrap replicates. Three specimens each of Anthidium diadema Latreille, A. florentinum (Fabricius), and A. cingulatum Latreille were used as outgroups.
FIGURE 7 in DNA barcoding confirms the validity of Anthidium melanopygum Friese, 1917 stat. nov. (Hymenoptera: Megachilidae) as a distinct species of Western Asia
FIGURE 7. Distribution of Anthidium melanopygum (red dots) and A. spiniventre (white dots with blue margins). Females from Iran which could not undoubtedly be attributed to one of these two species are shown with grey dots.
FIGURE 4 in DNA barcoding confirms the validity of Anthidium melanopygum Friese, 1917 stat. nov. (Hymenoptera: Megachilidae) as a distinct species of Western Asia
FIGURE 4. Male genitalia of Anthidium melanopygum (A–C) and A. spiniventre (D–F). A, D: ventral; B, E: dorsal; C, F: ventrolateral.
FIGURE 3 in DNA barcoding confirms the validity of Anthidium melanopygum Friese, 1917 stat. nov. (Hymenoptera: Megachilidae) as a distinct species of Western Asia
FIGURE 3. Head of females of Anthidium melanopygum (A, C) and A. spiniventre (B, D). The lower end of the preoccipital band is truncated in typical specimens of A. melanopygum (A), and pointed in typical specimens of A. spiniventre (B). The apical margin of the clypeus is usually black in A. melanopygum (C) and semi-transparent light brown in A. spiniventre (D). An impunctate mid-line on the clypeus is present in both species.
FIGURE 1 in DNA barcoding confirms the validity of Anthidium melanopygum Friese, 1917 stat. nov. (Hymenoptera: Megachilidae) as a distinct species of Western Asia
FIGURE 1. Anthidium melanopygum (above) and A. spiniventre (below). A and C females, B and D males (A, B: Bulgaria, C: Jordan, D: Syria).
FIGURE 13 in Clarification of the identity of deep-sea crab Tymolus uncifer (Ortmann, 1892) and validation of Tymolus melanommus (Doflein, 1904) (Decapoda: Brachyura: Cyclodorippidae)
FIGURE 13. Tymolus melanommus (Doflein, 1904), ovigerous female (8.8×8.7 mm), CBM-ZC 6260. A, thoracic sternum, ventral view; B, right chela, outer view; C, pleon, external view. Setae omitted.
FIGURE 12 in Clarification of the identity of deep-sea crab Tymolus uncifer (Ortmann, 1892) and validation of Tymolus melanommus (Doflein, 1904) (Decapoda: Brachyura: Cyclodorippidae)
FIGURE 12. Tymolus melanommus (Doflein, 1904), male (13.0×13.0 mm), CBM-ZC 17323. A, right pereopod 2, dorsal view; B, same, distal part of merus, dorsal view; C, right pereopod 3, dorsal view (setae omitted); D, same, distal part of merus, dorsal view; E, right pereopod 4, dorsal view; F, right pereopod 5, dorsal view; G, left gonopod 1, mesial view; H, same, ventral view; I, same, lateral view; J, same, dorsal view; K, left gonopod 2, lateral view.
FIGURE 10 in Clarification of the identity of deep-sea crab Tymolus uncifer (Ortmann, 1892) and validation of Tymolus melanommus (Doflein, 1904) (Decapoda: Brachyura: Cyclodorippidae)
FIGURE 10. Tymolus melanommus (Doflein, 1904), male (13.0×13.0 mm), CBM-ZC 17323. A, carapace and cephalic appendages, dorsal view; B, thoracic sternum, ventral view. In preservative.
FIGURE 8 in Clarification of the identity of deep-sea crab Tymolus uncifer (Ortmann, 1892) and validation of Tymolus melanommus (Doflein, 1904) (Decapoda: Brachyura: Cyclodorippidae)
FIGURE 8. Tymolus uncifer (Ortmann, 1892), ovigerous female 7.6×7.6 mm), CBM-ZC 16943. A, thoracic sternum, ventral view; B, right chela, outer view; C, pleon, external view. Setae omitted.
FIGURE 11 in Clarification of the identity of deep-sea crab Tymolus uncifer (Ortmann, 1892) and validation of Tymolus melanommus (Doflein, 1904) (Decapoda: Brachyura: Cyclodorippidae)
FIGURE 11. Tymolus melanommus (Doflein, 1904), male (13.0×13.0 mm), CBM-ZC 17323. A, anterior part of carapace, ocular peduncles and antennae, dorsal view (setae omitted); B, left anterolateral part of carapace (setae omitted); C, left anterior part of carapace and cephalic appendages, ventral view (setae omitted); D, right maxilliped 3, external view; E, carpus of right cheliped, dorsal view; F, right chela, outer view; G, pleon, external view (setae omitted).
FIGURE 6 in Clarification of the identity of deep-sea crab Tymolus uncifer (Ortmann, 1892) and validation of Tymolus melanommus (Doflein, 1904) (Decapoda: Brachyura: Cyclodorippidae)
FIGURE 6. Tymolus uncifer (Ortmann, 1892), male (9.8×9.8 mm), CBM-ZC 16951. A, anterior part of carapace, ocular peduncles, antennules and antennae, dorsal view; B, left anterolateral part of carapace (setae omitted); C, left anterior part of carapace and cephalic appendages, ventral view (setae omitted); D, right maxilliped 3, external view; E, carpus of right cheliped, dorsal view; F, right chela, outer view; G, pleon, external view (setae omitted).
FIGURE 5 in Clarification of the identity of deep-sea crab Tymolus uncifer (Ortmann, 1892) and validation of Tymolus melanommus (Doflein, 1904) (Decapoda: Brachyura: Cyclodorippidae)
FIGURE 5. Tymolus uncifer (Ortmann, 1892), male (9.8×9.8 mm), CBM-ZC 16951. A, carapace and cephalic appendages, dorsal view; B, thoracic sternum, ventral view. In preservative.
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.