Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
8,038
datasets available to search
ShareScore release 0.7.1
Dataset results
8,038 results for “validation”
Fig. 5. Platypterygiine ophthalmosaurid Platypterygius hercynicus Kuhn, 1946, MHNH 2010.4 in New data on the ichthyosaur Platypterygius hercynicus and its implications for the validity of the genus
Fig. 5. Platypterygiine ophthalmosaurid Platypterygius hercynicus Kuhn, 1946, MHNH 2010.4, from the late Albian of Saint−Jouin−Bruneval, France. Left quadratojugal in medial (A) and lateral (B) views. Photographs (A1, B1), explantatory drawings (A2, B2). The quadratojugal possess an extensive lateral facet for the missing postorbital and squamosal, and a large processus quadratus.
Fig. 3. Platypterygiine ophthalmosaurid Platypterygius hercynicus Kuhn, 1946, MHNH 2010.4 in New data on the ichthyosaur Platypterygius hercynicus and its implications for the validity of the genus
Fig. 3. Platypterygiine ophthalmosaurid Platypterygius hercynicus Kuhn, 1946, MHNH 2010.4, from the late Albian of Saint−Jouin−Bruneval, France. Detail of the orbital and narial regions. A. Photograph. B. Explanatory drawing. The lacrimal is broken in two and participates to the posterior and ventral borders of the bony naris aperture. The nasal is expanded posterolaterally, as in SMSS "SGS". A possible septomaxilla is present inside the naris, but its identification remains tentative. All bones are from the right side of the skull, except when stated otherwise by a (L).
Fig. 2. Ophthalmosaurid ichthyosaur Platypterygius hercynicus Kuhn, 1946, MHNH 2010.4 in New data on the ichthyosaur Platypterygius hercynicus and its implications for the validity of the genus
Fig. 2. Ophthalmosaurid ichthyosaur Platypterygius hercynicus Kuhn, 1946, MHNH 2010.4, from the late Albian of Saint−Jouin−Bruneval, France. Skull roof anatomy. A. Photograph. B. Explanatory drawing. The bones found in connection are coloured in pale grey and the bone placed manually at their supposed position are coloured in dark grey. C. Reconstruction. This reconstruction is designed to provide an overview of the skull roof of MNHN 2010.4; please refer to the description and the other figures for anatomical comparison or character state scoring in phylogenetic analysis. The anterior ramus of the nasal is developed, forming the dorsomedial part of the rostrum over a very long distance. The nasal is also developed posterolaterally, overlapping the postfrontal extensively. The frontal participates to three cranial openings: the internasal foramen anteriorly, the pineal foramen posteromedially, and the supratemporal fenestra posterolaterally.
Fig. 4. Platypterygiine ophthalmosaurid Platypterygius hercynicus Kuhn, 1946, MHNH 2010.4 in New data on the ichthyosaur Platypterygius hercynicus and its implications for the validity of the genus
Fig. 4. Platypterygiine ophthalmosaurid Platypterygius hercynicus Kuhn, 1946, MHNH 2010.4, from the late Albian of Saint−Jouin−Bruneval, France. Detail of the fronto−parietal region. A. Photograph. B. Explanatory drawing. The frontal forms a thickened posteromedial process that fully encloses the parietal foramen and separates it from the parietal.
FIGURE 6 in Age validation and contrasted growth performances of Pseudoplatystoma punctifer (Siluriformes: Pimelodidae) in two river systems of the Western Amazon
FIGURE 6 | Von Bertalanffy growth curves for Pseudoplatystoma punctifer females (pink triangles) and males (blue circles) in the A. AMU system and B. Putumayo River.
FIGURE 4 in Age validation and contrasted growth performances of Pseudoplatystoma punctifer (Siluriformes: Pimelodidae) in two river systems of the Western Amazon
FIGURE 4 | Mean and standard deviation (SD) of each growth ring radius in vertebrae of Pseudoplatystoma punctifer from the A. AMU system and B. Putumayo River.
FIGURE 5 in Age validation and contrasted growth performances of Pseudoplatystoma punctifer (Siluriformes: Pimelodidae) in two river systems of the Western Amazon
FIGURE 5 | Mean monthly relative marginal increment (RMI ± SD) of Pseudoplatystoma punctifer vertebrae in relation to the hydrological cycle in the A. AMU system and B. Putumayo River. The illustrated hydrological cycles represent the average monthly values from the period 2008–2010.
FIGURE 7 in Age validation and contrasted growth performances of Pseudoplatystoma punctifer (Siluriformes: Pimelodidae) in two river systems of the Western Amazon
FIGURE 7 | Standard length at first sexual maturity (L50) of Pseudoplatystoma punctifer in the A–B. AMU system and C–D. Putumayo River.
FIGURE 2 in Age validation and contrasted growth performances of Pseudoplatystoma punctifer (Siluriformes: Pimelodidae) in two river systems of the Western Amazon
FIGURE 2 | Standard length frequency distributions of Pseudoplatystoma punctifer females (left) and males (right) in the A–B. AMU system and C–D. Putumayo River.
FIGURE 3 in Age validation and contrasted growth performances of Pseudoplatystoma punctifer (Siluriformes: Pimelodidae) in two river systems of the Western Amazon
FIGURE 3 | Pseudoplatystoma punctifer vertebrae showing A–B. Five growth rings: the first one is multiple, the second one double and the third, fourth and fifth are simple, C–D. Two growth rings and E–F. One growth ring. Vertebrae center (ctr), hyaline rings (red lines), intermediate mark (i), pre mark (p). Left images: vertebrae frontal view. Right images: vertebrae cross section view with the confirmation of the rings on the corpus calcareum.
FIGURE 1 in Age validation and contrasted growth performances of Pseudoplatystoma punctifer (Siluriformes: Pimelodidae) in two river systems of the Western Amazon
FIGURE 1 | Map of sampling sites of Pseudoplatystoma punctifer in the Peruvian Amazon River systems. Sampling sites are symbolized by red dots.
Figure 1 in Validity of a poorly known western Pacific scorpionfish (Scorpaenidae), Neomerinthe pallidimacula (Fowler, 1938)
Figure 1. - Preserved specimens of Neomerinthe pallidimacula. A: USNM 98889, holotype of Scorpaena pallidimacula, 76.0 mm SL; B: MNHN 2001- 2850, 70.2 mm SL.
Positronium Lifetime Validation Measurements with PET/CT
<p>Processed data from the publication W. Steinberger et al. EJNMMI Physics <strong>11</strong>, 76 (2024) available at https://doi.org/10.1186/s40658-024-00678-4</p> <p>The evaluated singles data (the .l files) is in binary format. Its made of 64 bit floating point numbers and the data is organized as x,y,z,t. The three coordinates are in mm and the time difference between the prompt and coincidence photon is in ns for each detected three-photon event. It can be read with the following Python function, which returns a large table with four columns. </p> <blockquote> <p>def read_singles_binary(file):<br> a = np.fromfile(file, dtype=np.float64).reshape((-1,4))<br> a = a[:,[1,2,0,3]] # convert to zyx<br> a[:,0] *= -1 # flip z<br> a[:,1] *= -1 # flip y<br> return a</p> </blockquote> <p> </p> <p>The text files are time difference distributions with two columns: time difference in ns and number of counts. </p> <p> </p> <p> </p>
Figures 6–11 in Validation of some species- and genus-group names in Melitta (Hymenoptera: Melittidae)
Figures 6–11. Photographs of Melitta (Afromelitta) richtersveldensis, new subgenus and species, and M. (Plesiomelitta) avontuurensis, new subgenus and species. 6. Female of M. (A.) richtersveldensis in profile. 7. Detail of female metasomal apex and pygidial plate of M. (A.) richtersveldensis. 8. Male of M. (A.) richtersveldensis in profile. 9. Dorsal view of male metasoma of M. (A.) richtersveldensis, with genitalia extended. 10. Female of M. (P.) avontuurensis in profile. 11. Dorsal view of female metasomal apex of M. (P.) avontuurensis. Reproduced with permission from Dellicour et al. (2014).
Figures 1–5 in Validation of some species- and genus-group names in Melitta (Hymenoptera: Melittidae)
Figures 1–5. Male terminalia of Melitta (Afromelitta) richtersveldensis, new subgenus and species. 1. Ventral view of metasomal sternum VI. 2. Ventral view of sternum VII. 3. Ventral view of sternum VIII. 4. Lateral view of genital capsule. 5. Dorsal view of genital capsule. Reproduced with permission from Dellicour et al. (2014).
Fig. 2. A, B in A new species of Miocene terrestrial gastropod Gastrocopta from Poland and the validity of "Pupa (Vertigo) suevica"
Fig. 2. A, B. Pupa suevica sensu Sandberger (= Gastrocopta sandbergeri sp. nov.) from Steinheim, Germany, Miocene, H = 2.06 (A) and 2.11 mm (B); IGS. C. Pupa suevica sensu Sandberger 1875, nomen nudum (= Gastrocopta sandbergeri sp. nov.) from Steinheim, Germany, Miocene, H = 2.05 mm; MNHN. D, E. Gastrocopta sandbergeri sp. nov. from Bełchatów, Miocene, H = 1.90 (D, Ml/1033/98b) and 2.14 (E, holotype, Ml/1033/98a); ISEA. F. Gastrocopta nouletiana (Dupuy, 1850) from Bełchatów, Miocene, Ml/1031/98, H = 2.23 mm; ISEA. G. Gastrocopta serotina Ložek, 1964 from Ctiněves−Hýkovina, Czech Republic, Early Pleistocene, ML/567/75, H = 2.00 mm; ISEA ex coll. Ložek. H. Gastrocopta theeli (Westerlund, 1877) from Northern Caucasus, Recent, H = 1.92 mm; IGS. I. Gastrocopta pseudotheeli Steklov, 1966 from Fars, Northern Caucasus, Miocene, 3842/50, H = 1.85 mm; IGS.
Fig. 1 in A new species of Miocene terrestrial gastropod Gastrocopta from Poland and the validity of "Pupa (Vertigo) suevica"
Fig. 1. Pupa suevica sensu Sandberger (= Gastrocopta sandbergeri sp. nov.) from the Sandberger's collection (MWNH−22−2), Miocene (Astaracian, MN7), Steinheim. Photograph by Fritz Geller−Grimm.
UML Diagram Dataset from the paper Creating and Validating a Ground Truth Dataset of UML Diagrams Using Deep Learning Techniques
<p>Dataset of six UML diagram classes, comprising a total of 2,626 images (426 activity diagrams, 636 class diagrams, 352 component diagrams, 357 deployment diagrams, 435 sequence diagrams, and 420 use case diagrams). Importantly, unlike other existing datasets, ours contains no duplicate elements and all diagrams are correctly classified.</p>
Validation of the registration of intraoperative optical image of exposed brain with preoperative MRI volumes (T1 volumes with injection of Gadolinium).
<p>This dataset contains the results of the registration of intraoperative optical images of exposed brain with pre-operative MRI volumes (T1 volumes with injection of Gadolinium). The file contains the validation metric (Euclidean distance) calculated with a landmark-based validation approach for 9 patients.</p>
Validity and reproducibility of a food frequency questionnaire to determine dietary intakes among Lebanese athletes
<p><a name="_Hlk166496350"></a><span><strong>Background</strong> </span><strong><span>and objective:</span></strong><span><strong><span> </span></strong></span><span><span>Nutrition is a basic need for athletes; thus, adequate dietary intake is crucial for maintaining overall health, facilitating training adaptations and boosting athletic performance. Accurate dietary assessment tools are required to minimize the challenges faced by athletes. This study verifies the validity and reproducibility of a 157 item semi-quantitative food frequency questionnaire (FFQ) among Lebanese athletes. This is the only Arabic questionnaire in Lebanon that estimates food consumption for athletes which can also be used in Arabic speaking countries. There has been no previous validated food frequency questionnaire that estimated food consumption for athletes in Lebanon. </span></span><span><strong><span>Methods:</span></strong></span><span><strong><span> </span></strong></span><span><span>A total of 194 athletes were included in the study to assess the validity of the food frequency questionnaire against four days dietary recalls by comparing the total nutrient intake values from the food frequency questionnaire with the mean values of four 24-hour dietary recalls using Spearman correlation coefficient and Bland Altman plots. In order to measure the reproducibility, the intra class correlation coefficients were calculated by repeating the same food frequency questionnaire after one month. </span></span><span><strong><span>Results:</span></strong></span><span><strong><span> </span></strong></span><span><span>The intra-class correlation coefficient between the two-food frequency questionnaires ranged from average (0.739 for carbohydrates) to good (0.870 for energy (Kcal)), to excellent (0.919 for proteins) concerning macronutrients and ranged from average (0.688 for vitamin D), to excellent (0.952 for vitamin B12), indicating </span></span><span><span>an acceptable reproducibility. </span></span><span><span>Spearman’s correlation coefficients of dietary intake estimate from the food frequency questionnaire and the four dietary recalls varied between 0.304 for sodium, 0.469 for magnesium to 0.953 for caloric intake (kcal). Bland-Altman plots illustrated a percentage of agreement ranging between 94.3% for fats to 96.4% for proteins. </span></span><span><strong><span>Conclusion:</span></strong></span><span><strong><span> </span></strong></span><span><span>This food frequency questionnaire has a reliable validity and reproducibility to evaluate dietary assessments and is an appropriate tool for future interventions to ensure the adoption of adequate eating strategies by athletes.</span></span></p>
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.