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8,038 results for “validation.”
FIGURE 8 in Xantholinus dvoraki Coiffait, 1956, the only valid species of the subgenus Meneidophallus Bordoni, 1999, with remarkably variable internal sac of aedeagus (Coleoptera, Staphylinidae)
FIGURE 8. Frequency distribution of different types of internal sac in examined material.
The COPSOQ III Greek validation study
<p>This information are supplementary to the manuscript: "<span lang="EN-GB">A Validation Study of the COPSOQ III Greek Questionnaire for Assessing Psychosocial Factors in the Workplace</span>".</p>
Antibody Validation for Cyclical Immunofluorescence of Human Kidneys (Part 2, Figure 32)
<p>This dataset includes Cyclical Immunofluorescnce (CyCIF) images (15-20 channels) of frozen human kidney sections interogated with a panel of 12 validated antibodies designed to evaluate renal tubular cell segmentation (Figures 31 and 32), an a panel of 12 validated antibodies and a lectin designed to evaluate glomerular and glomerulus-associated structures in the normal human kidney (Figure 33). We have attached an excel file (Supplemental Table 2) that includes all of the experimental and (de-identified) patient metadata associated with these images, with information and comments about each of the channel images, the antibodies used, CyCIF cycles, and the cell types and extracellular matrix compartments identified with these combinations of antibodies. Because of the sixze of the images, we have divided this into two separate datasets (Antibody Validation for Cyclical Immunofluorescence Parts 1 and 2). </p>
Figure 2 from: Hasanuddin DNA, Garmana AN, Sasongko L (2024) HPLC method for the determination of nifedipine in rat plasma: development, validation, and application to pharmacokinetic drug-herb interaction study. Pharmacia 71: 1-6. https://doi.org/10.3897/pharmacia.71.e119198
Figure 2 Calibration plot of nifedipine in plasma.
Ground-truth validation of T2 estimates from steady-state surface NMR
<p>co-located surface and borehole NMR results from 4 sites:</p> <ul> <li>Schillerslage, Germany</li> <li>Kompedal, Denmark</li> <li>Vejrumbro, Denmark</li> <li>Endelave, Denmark</li> </ul> <p> </p>
Data Set_Exploring the Molecular Mechanisms of Endothelial Dysfunction Affecting Myocardial Infarction by Integrating Multiple Datasets with In Vivo Experimental Validation
Open the record for dataset details and reuse information.
Fig. 3 in The Australian Sinistral Flounder Arnoglossus aspilos praeteritus (Actinopterygii: Pleuronectiformes: Bothidae) Reassigned as a Valid Species of Engyprosopon
Fig. 3. Fresh image of Engyprosopon praeteritus. WAM P. 32685-001, 64.7 mm SL.
FIGURE. Cumulative total of valid Thysanoptera species in Australia in All genera of the world: Order Thysanoptera (Animalia: Arthropoda: Insecta)
FIGURE. Cumulative total of valid Thysanoptera species in Australia
Figure 2 from: Kirakosyan VG, Tsaturyan AH, Poghosyan LE, Minasyan EV, Petrosyan HR, Sahakyan LY, Sargsyan TH (2022) Detection and development of a quantitation method for undeclared compounds in antidiabetic biologically active additives and its validation by high performance liquid chromatography. Pharmacia 69(1): 45-50. https://doi.org/10.3897/pharmacia.69.e76247
Figure 2 Method selectivity.
Figure 3 from: Kirakosyan VG, Tsaturyan AH, Poghosyan LE, Minasyan EV, Petrosyan HR, Sahakyan LY, Sargsyan TH (2022) Detection and development of a quantitation method for undeclared compounds in antidiabetic biologically active additives and its validation by high performance liquid chromatography. Pharmacia 69(1): 45-50. https://doi.org/10.3897/pharmacia.69.e76247
Figure 3 Calibration curves of 1-Gliclazide, 2-Glibenclamide, 3-Glimepiride and 4-Metformin.
Figure 1 from: Kirakosyan VG, Tsaturyan AH, Poghosyan LE, Minasyan EV, Petrosyan HR, Sahakyan LY, Sargsyan TH (2022) Detection and development of a quantitation method for undeclared compounds in antidiabetic biologically active additives and its validation by high performance liquid chromatography. Pharmacia 69(1): 45-50. https://doi.org/10.3897/pharmacia.69.e76247
Figure 1 Chromatogram of a standard mixture.
Figure 5 from: Kirakosyan VG, Tsaturyan AH, Poghosyan LE, Minasyan EV, Petrosyan HR, Sahakyan LY, Sargsyan TH (2022) Detection and development of a quantitation method for undeclared compounds in antidiabetic biologically active additives and its validation by high performance liquid chromatography. Pharmacia 69(1): 45-50. https://doi.org/10.3897/pharmacia.69.e76247
Figure 5 "Sugar Balance" sample injection chromatogram.
Figure 4 from: Kirakosyan VG, Tsaturyan AH, Poghosyan LE, Minasyan EV, Petrosyan HR, Sahakyan LY, Sargsyan TH (2022) Detection and development of a quantitation method for undeclared compounds in antidiabetic biologically active additives and its validation by high performance liquid chromatography. Pharmacia 69(1): 45-50. https://doi.org/10.3897/pharmacia.69.e76247
Figure 4 "Dialevel" sample injection chromatogram.
Figure 3 from: Tzankova D, Mateeva A, Mitkov J, Peikova L, Georgieva M (2022) Development and validation of RP-HPLC method for analytical characterization of the anabolic steroid Methenolone acetate in food supplements. Pharmacia 69(1): 151-155. https://doi.org/10.3897/pharmacia.69.e78176
Figure 3 Chromatogram of Methenolone standard solution.
Figure 2 from: Tzankova D, Mateeva A, Mitkov J, Peikova L, Georgieva M (2022) Development and validation of RP-HPLC method for analytical characterization of the anabolic steroid Methenolone acetate in food supplements. Pharmacia 69(1): 151-155. https://doi.org/10.3897/pharmacia.69.e78176
Figure 2 Linearity of the developed RP-HPLC method.
Figure 5 from: Tzankova D, Mateeva A, Mitkov J, Peikova L, Georgieva M (2022) Development and validation of RP-HPLC method for analytical characterization of the anabolic steroid Methenolone acetate in food supplements. Pharmacia 69(1): 151-155. https://doi.org/10.3897/pharmacia.69.e78176
Figure 5 Chromatogram of test solution.
Figure 4 from: Tzankova D, Mateeva A, Mitkov J, Peikova L, Georgieva M (2022) Development and validation of RP-HPLC method for analytical characterization of the anabolic steroid Methenolone acetate in food supplements. Pharmacia 69(1): 151-155. https://doi.org/10.3897/pharmacia.69.e78176
Figure 4 Chromatogram of Methenolone acetate standard solution.
Figure 1 from: Tzankova D, Mateeva A, Mitkov J, Peikova L, Georgieva M (2022) Development and validation of RP-HPLC method for analytical characterization of the anabolic steroid Methenolone acetate in food supplements. Pharmacia 69(1): 151-155. https://doi.org/10.3897/pharmacia.69.e78176
Figure 1 Structure of Methenolone.
WorldWater validation samples
<p>This data collection include the sample locations and reference labelling collected over the test sites used in the WorldWater Round Robin inter-comparison of inland surface water detection and monitoring algorithms using Sentinel-1, Sentinel-2 and Landsat 8 imagery. The data can be used as is, but there is also the opportunity to optimize/correct by filtering the sample points – for example to exclude uncertain points (details provided in enclosed Readme file.</p> <p>For more information and for further inquires please visit: https://worldwater.earth/</p>
Cross-validation of distance measurements in proteins by PELDOR/DEER and single-molecule FRET
<p>Pulsed electron-electron double resonance spectroscopy (PELDOR/DEER) and single-molecule Förster resonance energy transfer spectroscopy (smFRET) are frequently used to determine conformational changes, structural heterogeneity and inter probe distances in biological macromolecules. They provide qualitative information that facilitates mechanistic understanding of biochemical processes and quantitative data for structural modeling. To provide a comprehensive comparison of the accuracy of PELDOR/DEER and smFRET, we use a library of double cysteine variants of four proteins that undergo large-scale conformational changes upon ligand binding. With either method, we use established standard experimental protocols and data analysis routines to determine inter-probe distances in the presence and absence of ligands. The results are compared to distance predictions from structural models. Despite an overall satisfying and similar distance accuracy, some inconsistencies are identified, which we attribute to the use of cryoprotectants for PELDOR/DEER and label-protein interactions for smFRET. This large-scale cross-validation of PELDOR/DEER and smFRET highlights the strengths, weaknesses, and synergies of these two important and complementary tools in integrative structural biology.</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.