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8,038 results for “Validity”
FIGURE 4 in An assessment of the taxonomic validity of three species of marsupial frogs (Anura: Hemiphractidae: Gastrotheca) from the Yungas of Bolivia based on external morphology and cranial osteology
FIGURE 4. Morphometric multivariate analyses of Gastrotheca spp. from the Yungas of central Bolivia based on nine morphometric variables (N = 55). (A) Principal components analysis (PCA) using unmodified variables; (B) PCA based on the residuals obtained by simple linear regressions between size and the remaining eight variables to account for the size component issue (sexes shown separately); (C) Linear discriminant analysis. Percent values indicate the proportion of variation explained by each principal component and discriminant function. Centroids of each of the species under consideration in the PCAs are indicated by the respective symbol with a white margin. A priori identifications are based on published descriptions of the species and putative differences.
FIGURE 6 in An assessment of the taxonomic validity of three species of marsupial frogs (Anura: Hemiphractidae: Gastrotheca) from the Yungas of Bolivia based on external morphology and cranial osteology
FIGURE 6. CT-scan images of the skulls of three putative species of Gastrotheca from the Yungas of central Bolivia: (A, D, G, J) Gastrotheca lauzuricae, EBD 37379H, female holotype, 34.3 mm SVL; (B, E, H, K) G. piperata, MNKA 7157, female, 39.5 mm SVL; (C, F, I, L) G. splendens, CBG 1034, female, 41.8 mm SVL. From top to bottom: dorsal, ventral, lateral and frontal views; note the variation in the extent of hyperossification (in form of exostosis).
MSNovelist: scripts and datasets for validation and de novo discovery.
<p>This repository contains all scripts and datasets required to reproduce the validation and the de novo discovery application in the MSNovelist paper. See README.md for details. The MSNovelist software itself is available on Github: https://github.com/meowcat/MSNovelist</p>
Artifacts for the SPLC 2020 Paper "A Conceptual Model for Unifying Variability in Space and Time" and the ESE journal extension "A Conceptual Model for Unifying Variability in Space and Time: Rationale, Validation, and Illustrative Applications"
<p>These artifacts relate to the SPLC'20 research paper "A Conceptual Model for Unifying Variability in Space and Time" and the Empirical Software Engineering journal extension "A Conceptual Model for Unifying Variability in Space and Time: Rationale, Validation, and Illustrative Applications."</p>
Figure 4. Phaeocedus parvus O in On the taxonomic validity of Indian ground spiders: III. Genus Phaeocedus Simon, 1893 (Araneae: Gnaphosidae)
Figure 4. Phaeocedus parvus O. Pickard-Cambridge, 1906 (OUMNH-1726), holotype (=Synaphosus parvus comb. nov.). (a) female, dorsal view; inset eye group enlarged, dorsal view. (b) epigyne. (c, d) labels from type bottle. Scale bars a = 1 mm; b = 0.2 mm. © OUMNH, Oxford.
Figure 2. Phaeocedus mosambaensis Tikader, 1964 in On the taxonomic validity of Indian ground spiders: III. Genus Phaeocedus Simon, 1893 (Araneae: Gnaphosidae)
Figure 2. Phaeocedus mosambaensis Tikader, 1964 (NZC-ZSI-2486/18), holotype (=Drassodes lutescens (C. L. Koch, 1839)). (a) female, dorsal view. (b) epigyne. (c) vulva. (d) label from type bottle. Scale bars a = 1 mm; b, c = 0.2 mm.
Figure 5. Phaeocedus nicobarensis Tikader, 1977 in On the taxonomic validity of Indian ground spiders: III. Genus Phaeocedus Simon, 1893 (Araneae: Gnaphosidae)
Figure 5. Phaeocedus nicobarensis Tikader, 1977 (=Pandava laminata (Thorell, 1878)). (a) holotype female habitus, dorsal view. (b) allotype immature male habitus, dorsal view (NZC-ZSI-4992/18). (c) epigyne of holotype female. (d) vulva of the same. (e) label from allotype tube. Scale bars a, b = 2 mm; c = 0.2 mm; d = 0.1 mm.
Figure 1 in On the taxonomic validity of Indian ground spiders: III. Genus Phaeocedus Simon, 1893 (Araneae: Gnaphosidae)
Figure 1. Phaeocedus haribhaiius Patel & Patel, 1975 (NZC-ZSI-3445/18), holotype (=Drassodes haribhaiius comb. nov.). (a) female, dorsal view. (b) epigyne. (c) label from type bottle. Scale bars a = 2 mm; b = 0.2 mm.
AHI-CALIOP Collocated Data for Training and Validation of Cloud Masking Neural Networks
<p>Collocated data between AHI at 2km resolution (nadir) and CALIOP 1km cloud product v4.20 used for training and validating cloud identification neural networks. The main training and validation data from 2019 is stored in monthly directories, whilst the collocated dataset used to compare the NN, JMA and BoM cloud mask performances is the file "superdf.h5". All collocated data is stored as .h5 files and was built using the Python Pandas package. In this archive, the data has been stored as compressed directories for each month or as a single compressed file in the case of "superdf.h5" using tar with bzip2 compression or just bzip2 compression respectively.</p>
Raw data for Urine DNA (uDNA) as a non-lethal method for endoparasite biomonitoring: development and validation
<p>Changes in environmental conditions alter host-parasite interactions, raising the need for effective epidemiological surveillance. Developing operational, accurate, and cost-effective methods to assess individual infection status and potential for pathogen spread is a prerequisite to anticipate future disease outbreaks in wild populations. For endoparasites, effective detection of infections usually relies on host-lethal approaches, which are barely compatible with wildlife conservation objectives. Here, we used the brown trout (<i>Salmo trutta</i>) - <i>Tetracapsuloides bryosalmonae</i> host-parasite system to develop a non-lethal method for endoparasite infection detection, hereafter called "uDNA" for urine DNA. The uDNA diagnostic test is based on the amplification of endoparasite DNA from host urine. We sampled wild fish (N = 111) from eight sites, let them excrete in individual buckets filled with mineral water and performed parasite DNA amplification from water filtration. We compared the results of the uDNA diagnostic test for host infection status and parasite load to those from kidney samples (the current standard method). uDNA was sensitive in determining host infection status (even for infected hosts showing no sign of the disease), since up to 90% of fish individuals were correctly assigned to their infection status. The quantity of uDNA detected from the hosts depended on the sampling sites, suggesting a spatial variation in the parasite spread. uDNA was positively, but weakly correlated with parasite load in the kidney. This correlation depended on the severity of macroscopic lesions caused by the disease, and was negative in fish with severely damaged kidney, likely due to impaired urine excretion. The uDNA approach provides novel avenues to non-lethally infer infection parameters from wildlife populations at large spatial scales. By targeting parasite transmission stage, uDNA is also valuable to get insights on the parasite fitness and the ecological and evolutionary dynamics of this host-parasite interaction.</p>
Reference solutions for "A validated non-linear Kelvin-Helmholtz benchmark for numerical hydrodynamics"
<p>This dataset contains hdf5 files with reference solutions to the validated non-linear Kelvin-Helmholtz benchmark problem described in <a href="https://doi.org/10.1093/mnras/stv2564">Lecoanet et al. (2016)</a>. The hdf5 files include snapshots at t=2, 4, 6, 8 for the Re=10^5 D4096 simulation with Δρ/ρ0=1 (5_4096_2_*.h5), the Re=10^5 D2048 simulation with Δρ/ρ0=0 (5_2048_1_*.h5), and the Re=10^6 D2048 simulation with Δρ/ρ0=0 (6_2048_1_*.h5). The velocity, density, temperature, and dye field are contained in the tasks group. The exact output time and the grid are contained in the scales group.</p>
FIGURE 2 in Adelonychia and Adelonychia nigrostriata are the valid names for the mygalmorph spider genus and species Diplothele and Diplothele walshi (Araneae, Barychelidae)
FIGURE 2. Wrapper of Pickard-Cambridge (1891), in part (made available by the BHL: https://www.biodiversitylibrary. org/page/28811444)
FIGURE 1 in Adelonychia and Adelonychia nigrostriata are the valid names for the mygalmorph spider genus and species Diplothele and Diplothele walshi (Araneae, Barychelidae)
FIGURE 1. Wrapper of Walsh (1890), in part (made available by the BHL: https://www.biodiversitylibrary.org/ page/42643703)
Monte Carlo Validation Data
<p>The data required to perform the analysis outlined in <a href="https://github.com/teaghan/PET_MonteCarlo">this github repository</a>, which accompanies the paper (still to come...)</p>
Benchmarks for paper "Checking validity of the min-plus operations involved in the analysis of a real-time embedded network"
<p>Benchmarks for the paper "Checking validity of the min-plus operations involved in the analysis of a real-time embedded network"</p>
Validation data Set: Development and validation of a quantitative method for 15 antiviral drugs in poultry muscle using liquid chromatography coupled to tandem mass spectrometry
<p>Validation dataset for paper published in the Journal of Chromatography A.</p> <p> </p> <p>Clément Douillet, Mary Moloney, Melissa Di Rocco, Christopher Elliott, Martin Danaher,<br> Development and validation of a quantitative method for 15 antiviral drugs in poultry muscle using liquid chromatography coupled to tandem mass spectrometry, Journal of Chromatography A, Volume 1665, 2022, 462793, ISSN 0021-9673,</p> <p><br> Abstract:</p> <p>The objective of this work was to develop a quantitative multi-residue method for analysing antiviral drug residues and their metabolites in poultry meat samples. Antiviral drugs are not licensed for the treatment of influenza in food producing animals. However, there have been some reports indicating their illegal use in poultry. In this study, a method was developed for the analysis of 15 antiviral drug residues in poultry muscle (chicken, duck, quail and turkey) using liquid chromatography coupled to tandem mass spectrometry. This included 13 drugs against influenza and associated metabolites, but also two drugs employed for the treatment of herpes (acyclovir and ganciclovir). The method required the development of a novel chromatographic separation using a hydrophilic interaction chromatographic (HILIC) BEH amide column, which was necessary to retain the highly polar compounds. The analytes were detected using a triple quadrupole mass spectrometer operating in positive electrospray ionization mode. A range of different sample preparation protocols suitable for polar compounds were evaluated. The most effective procedure was based on a simple acetonitrile-based protein precipitation step followed by a further dilution in a methanol/water solution. The confirmatory method was validated according to the EU 2021/808 guidelines on different species including chicken, duck, turkey and quail. The validation was performed using various calibration curves ranging from 0.1 µg kg−1to 200 µg kg−1, according to the analyte. Depending on the analyte sensitivity, decision limits achieved ranged from 0.12 µg kg−1 for arbidol to 34.7 µg kg−1 for ribavirin. Overall, the reproducibility precision values ranged from 2.8% to 22.7% and the recoveries from 84% to 127%. The method was applied to 120 commercial poultry samples from the Irish market, which were all found to be residue-free.<br> Keywords: Antiviral drug residues; Influenza; HILIC; LC-MS/MS; Poultry muscle</p>
Genomic data support the taxonomic validity of Middle American livebearers Poeciliopsis gracilis and Poeciliopsis pleurospilus (Cyprinodontiformes: Poeciliidae)
<p class="BodyA"><i>Poeciliopsis</i> (Cyprinodontiformes: Poeciliidae) is a genus comprised of 25 species of freshwater fishes. Several well-known taxonomic uncertainties exist within the genus, especially in relation to the taxonomic status of <i>Poeciliopsis pleurospilus</i> and <i>P. gracilis</i>. However, to date, no studies have been conducted to specifically address the taxonomic status of these two species. The goal of this study was to examine the taxonomic validity of <i>P. pleurospilus</i> and <i>P. gracilis</i> using genomic data (ddRADseq) in phylogenetic, population genetic, and species delimitation frameworks. Multiple analyses support the recognition of both taxa as distinct species and also permits us to revise their respective distributions. A species delimitation analysis indicates that <i>P. pleurospilus </i>and <i>P. gracilis </i>are distinct species from one another, each of which consists of two distinct lineages that are geographically structured. Phylogenetic and population genetic analyses demonstrate clear evidence that individuals of <i>P. gracilis</i> are distributed north and west of the Isthmus of Tehuantepec in both Pacific and Atlantic river systems in Mexico, whereas individuals of <i>P. pleurospilus</i> are distributed in both Atlantic and Pacific river systems south and east of the Isthmus of Tehuantepec, from southern Mexico to Honduras.</p>
A validation sample (input, label, and prediction) for the network: "SeisLoca_Unet"
<p>This file is a validation sample including the input, label, and prediction. The data of variable "pred" can be obtained by running the prediction file: "prediction.py". Please remember to modified the data directory.</p>
Dataset of the study "Factor Structure, Validity, and Reliability of the STarT Back Screening Tool in Italian Obese and Non-obese Patients With Low Back Pain"
<p>Dataset of the study "Factor Structure, Validity, and Reliability of the STarT Back Screening Tool in Italian Obese and Non-obese Patients With Low Back Pain" published in Frontiers in Psychology 20 October 2021 12:740851, doi: 10.3389/fpsyg.2021.740851</p>
Training and validation sample datasets for Qinghai-Tibet Plateau Forest Cover Map 2021
<p>The training and validation sample datasets are label by the value of "0" and "1", when "0" means the non-forest samples and "1" means the forest samples. </p>
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.