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.
676
datasets available to search
ShareScore release 0.9.0
Dataset results
676 results for “Manis”
Text-fig. 4. Dispersed megaspores on the surface of 1,000 mm2 of shale at Brymbo (a) with an enlargement showing Lagenicula horrida ZERNDT (b). in Why Lycospora Dominated Many Pennsylvanian Spore Assemblages
Text-fig. 4. Dispersed megaspores on the surface of 1,000 mm2 of shale at Brymbo (a) with an enlargement showing Lagenicula horrida ZERNDT (b).
Text-fig. 1. Lycospora. a: Microspore from the bisporangiate cone Flemingites gracilis CARRUTH. (from Brack-Hanes and Thomas 1983). This type of microspore should be referred to Microspinosporites BEK. b: Flanged microspore from the microsporangiate cone Lepidostrobus binneyanus A.ARBER (from Thomas 1970), same magnification as in (a). c, d: Microscpores from the microsporangiate cone Lepidostrobus brownii (UNGER) SCHIMP. (from Thomas and Bek 2014). in Why Lycospora Dominated Many Pennsylvanian Spore Assemblages
Text-fig. 1. Lycospora. a: Microspore from the bisporangiate cone Flemingites gracilis CARRUTH. (from Brack-Hanes and Thomas 1983). This type of microspore should be referred to Microspinosporites BEK. b: Flanged microspore from the microsporangiate cone Lepidostrobus binneyanus A.ARBER (from Thomas 1970), same magnification as in (a). c, d: Microscpores from the microsporangiate cone Lepidostrobus brownii (UNGER) SCHIMP. (from Thomas and Bek 2014).
Text-fig. 3. Terminal cone attached to Lepidodendron ophiurus BRONGN., leafy shoot. No. 2013.43G.120 (National Museum of Wales). in Why Lycospora Dominated Many Pennsylvanian Spore Assemblages
Text-fig. 3. Terminal cone attached to Lepidodendron ophiurus BRONGN., leafy shoot. No. 2013.43G.120 (National Museum of Wales).
Data from: How many specimens make a sufficient training set for automated three dimensional feature extraction?
<p>Deep learning has emerged as a robust tool for automating feature extraction from 3D images, offering an efficient alternative to labour-intensive and potentially biased manual image segmentation methods. However, there has been limited exploration into the optimal training set sizes, including assessing whether artificial expansion by data augmentation can achieve consistent results in less time and how consistent these benefits are across different types of traits. In this study, we manually segmented 50 planktonic foraminifera specimens from the genus Menardella to determine the minimum number of training images required to produce accurate volumetric and shape data from internal and external structures. The results reveal unsurprisingly that deep learning models improve with a larger number of training images with eight specimens being required to achieve 95% accuracy. Furthermore, data augmentation can enhance network accuracy by up to 8.0%. Notably, predicting both volumetric and shape measurements for the internal structure poses a greater challenge compared to the external structure, due to low contrast differences between different materials and increased geometric complexity. These results provide novel insight into optimal training set sizes for precise image segmentation of diverse traits and highlight the potential of data augmentation for enhancing multivariate feature extraction from 3D images. </p>
Many-body quantum dynamics of spin-orbit coupled Andreev states in a Zeeman field
<p>We provide the raw data used to produce Figs.3-6-7-8-9-10-11 of our paper "Many-body quantum dynamics of spin-orbit coupled Andreev states in a Zeeman field"</p>
Data from: Why there are so many structurally coloured bird species in the tropics?
<p>Several ecogeographical "rules" have been proposed to explain colour variation at broad spatial and phylogenetic scales, but these rarely consider whether colours are based on pigments or structural colours. However, mechanism can have profound effects on the function and evolution of colours. Here, we combine geographic information, climate data, and colour mechanism at broad phylogenetic (9409 species) and spatial scales (global) to determine how transitions between pigmentary and structural colours influence speciation dynamics and range distributions in birds. Among structurally coloured species, we find that rapid dispersal into tropical regions drove the accumulation of iridescent species, whereas the build-up of non-iridescent species in the tropics was driven by a combination of dispersal and faster <em>in situ</em> evolution in the tropics. These results could be explained by pleiotropic links between colouration and dispersal behaviour, or ecological factors influencing colonisation success. These data elucidate geographic patterns of colouration at a global scale and provide testable hypotheses for future work on birds and other animals with structural colours.</p>
Medical interview score data from PostCC-OSCE and programs for an extended many-facet IRT model
<p>Objective structured clinical examinations (OSCEs) are widely used performance assessments for medical and dental students. A common limitation of OSCEs is that the evaluation results depend on the characteristics of raters and the scoring rubric. To overcome this limitation, item response theory (IRT) models such as the many-facet models have been proposed to estimate examinee abilities while accounting for the characteristics of raters and evaluation items in a rubric. However, conventional IRT models have two impractical assumptions: constant rater severity across all evaluation items in a rubric and an equal interval rating scale among evaluation items, which can decrease model fitting and ability measurement accuracy.</p> <p>To resolve this problem, we propose a new IRT model that relaxes these assumptions. We demonstrate the effectiveness of the proposed model by applying it to actual data collected from a medical interview test conducted at Tokyo Medical and Dental University as part of a post-clinical clerkship (PostCC) OSCE. The experimental results showed that the proposed model fit our OSCE data well and measured ability accurately. Furthermore, it provided abundant information on rater and item characteristics that conventional models cannot, helping us to better understand rater and item properties.</p> <p>This dataset includes the actual score data collected from the above-mentioned medical interview test in a PostCC OSCE, as well as the program for estimating the parameters of the proposed IRT model.</p>
Рис. 2. Некоторые обсΛеΑованные воΑотоки национаΛьного парка «Анюйский»: А — р. Анюй; Б — протока Кыкычен р. Анюй; В — р. Мани; Г — р. Пихца Fig. 2. Some investigated watercourses of the Anyuysky National Park: А — Anyuy River; Б — Kykychen channel of the Anyuy River; В — Mani River; Г — Pikhtsa River in Zoobenthos of salmon rivers in the Anyuysky National Park (Khabarovsky Region, Russia)
Рис. 2. Некоторые обсΛеΑованные воΑотоки национаΛьного парка «Анюйский»: А — р. Анюй; Б — протока Кыкычен р. Анюй; В — р. Мани; Г — р. Пихца Fig. 2. Some investigated watercourses of the Anyuysky National Park: А — Anyuy River; Б — Kykychen channel of the Anyuy River; В — Mani River; Г — Pikhtsa River
Fig. 3 in Morphometric variation of the Herichthys bartoni (Bean, 1892) species group (Teleostei: Cichlidae): How many species comprise H. labridens (Pellegrin, 1903)?
Fig. 3. Phylogenetic analysis of the Herichthys bartoni species group obtained from the Bayesian analysis of an approximately 652 bp fragment of the mitochondrial cytochrome c oxidase subunit I (DNA Barcode). Numbers above nodes are the Bayesian Posterior Probabilities (BPP) for the principal clades recovered in the analysis. The haplotypes of the species included in the H. cyanoguttatus species group were collapsed to facilitate representation.
Fig. 2 in Morphometric variation of the Herichthys bartoni (Bean, 1892) species group (Teleostei: Cichlidae): How many species comprise H. labridens (Pellegrin, 1903)?
Fig. 2. Landmarks recorded in this study. 1. Anterior end of the lower maxilla 2. Anterior end of the upper maxilla 3. Length of the ascending premaxillary process 4. End of the supraoccipital bone 5. Start of the dorsal fin 6. Last spine of the dorsal fin 7. End of the dorsal fin 8. Upper boundary of the caudal fin 9. Center of the caudal fin 10. Base of the caudal fin 11. End of the anal fin 12. Last spine of the anal fin 13. Origin of the anal fin 14. Origin of the pelvic fin 15. Posterior end of the lower maxilla 16. Posterior end of the upper lip 17. Maximum point of curvature at the preoperculum 18. Upper end of the preoperculum 19. Upper end of the operculum 20. Most posterior end at the operculum 21. Origin of the pectoral fin 22. Upper extreme of the sphenotic orbit 23. Base of the sphenotic orbit 24. Left extreme of the sphenotic orbit 25. Right extreme of the sphenotic orbit.
Fig. 5 in Morphometric variation of the Herichthys bartoni (Bean, 1892) species group (Teleostei: Cichlidae): How many species comprise H. labridens (Pellegrin, 1903)?
Fig. 5. Canonical variance analysis derived from the geometric morphometric analysis of the species included in the Herichthys bartoni species group. A) canonical variate 1 and 2 for the head, B) canonical variate 2 and 3 for the head, C) canonical variate 1 and 2 for the body, D) canonical variate 2 and 3 for the body. Symbology: Blue: H. bartoni, Red: H. cf. labridens, Green: H. labridens, Violet: H. molango, Black: H. pame, Gray: H. pantostictus, Brown: H. steindachneri.
Fig. 1 in Morphometric variation of the Herichthys bartoni (Bean, 1892) species group (Teleostei: Cichlidae): How many species comprise H. labridens (Pellegrin, 1903)?
Fig. 1. Geographic distribution of the species included in the Herichthys bartoni group. Note: The species H. pratinus was not included in this work.
Fig. 4 in Morphometric variation of the Herichthys bartoni (Bean, 1892) species group (Teleostei: Cichlidae): How many species comprise H. labridens (Pellegrin, 1903)?
Fig. 4. Canonical variance analysis derived from the discriminant function analysis of the species included in the Herichthys bartoni species group. A) Meristic data B) Morphometric data adjusted by the method of Mossimann C) Morphometric data adjusted as proportions. Symbology: Blue: H. bartoni, Red: H. cf. labridens, Green: H. labridens, Violet: H. molango, Black: H. pame, Gray: H. pantostictus, Brown: H. steindachneri.
Figure 1 in First reliable record of many-plumed moth Pterotopteryx spilodesma (Lepidoptera, Alucitidae) on Sakhalin Island
Figure 1. Pterotopteryx spilodesma (Meyrick, 1908), female. Left – adult specimen; right – genitalia (scale bars: 1mm).
Fig. 1 in How many threatened lice are there? An approximation to the red list of the Spanish Phthiraptera
Fig. 1. Felicola (Lorisicola) isidoroi. Adult male, habitus. This is the holotype of the species and is deposited in the collection of the Museo Nacional de Ciencias Naturales (CSIC) in Madrid, Spain. Photography by Jean-Claude Stahl (Te Papa Tongarewa Museum, Wellington, New Zealand).
Evidence-based orthodontics: Too many systematic reviews, too few trials
<p>Dataset for the figure of the paper, constructed with Stata using the code:</p> <p>twoway (line p_rct year, sort)(line p_sr year, sort),ylabel(0(1)7) xlabel(2007(1)2017)</p>
RESTORATION OF TYRANNOSAURUS REX. From the type skeleton, Amer. Mus. No. 973. Many of the vertebrae belong to No. 5866. in Tyrannosaurus, upper Cretaceous carnivorous dinosaur (second communication)
RESTORATION OF TYRANNOSAURUS REX. From the type skeleton, Amer. Mus. No. 973. Many of the vertebrae belong to No. 5866.
Figure 3 in How many species of Mollusca are there in Brazil? A collective taxonomic effort to reveal this still unknown diversity
Figure 3. Distribution of 3,552 valid species of Mollusca and malacologists (=taxonomists) by region of Brazil and the possible correlation with socioeconomic indicators. Only the authors of this paper were counted (international authors excluded). (GDP) Gross Domestic Product, (HEI) Higher Education Institutions.
Figure 2. A in How many species of Mollusca are there in Brazil? A collective taxonomic effort to reveal this still unknown diversity
Figure 2. A small fraction of the diversity of shapes and colours of the Brazilian malacofauna: (A) Obeliscus agassizi Pilsbry, 1906, photo by L. Charles, ~4 cm long, terrestrial gastropod, Achatinidae; (B) Ischnochiton striolatus (Gray, 1828), 3 cm long, polyplacophoran, Ischnochitonidae; (C) Phidiana lynceus Bergh, 1867, 17 mm long, marine gastropod, Nudibranchia; (D) Octoporia octoporosa (Allen & Morgan, 1981, ~3 mm long, SEM image, marine bivalve, Cuspidariidae; (E) Eurytellina punicea (Born, 1778), ~70 mm long, marine bivalve, Tellinidae; (F) Hyperaulax ramagei (Smith, 1980), ~4.2 mm long, terrestrial gastropod, Odontostomidae; (G) Anatoma campense Pimenta & Geiger, 2015, ~3 mm long, SEM image; marine gastropod, Anatomidae; (H) Phyllocaulis boraceiensis Thomé, 1972, ~16 cm long, terrestrial gastropod, Veronicellidae; (I) Anodontites trapesialis (Lamarck, 1819), 20 cm long, freshwater bivalve, Mycetopodidae; (J) Anadara chemnitzi (Philippi, 1851), ~5 cm long, marine bivalve, Arcidae; (K) Neritina zebra (Bruguière, 1792), 22 mm long, marine gastropod, Neritidae; (L) Rhinus heterotrichus (S. Moricand, 1836), ~2.2 cm long, terrestrial gastropod, Simpulopsidae.
Figure 1. A in How many species of Mollusca are there in Brazil? A collective taxonomic effort to reveal this still unknown diversity
Figure 1. A small fraction of the diversity of shapes and colours of the Brazilian malacofauna: (A) Gaza compta Simone & Cunha, 2006, 19 mm long, marine gastropod, Margaritidae; (B) Pomacea maculata Perry, 1810, ~45 mm long, freshwater gastropod, Ampullariidae; (C) Omalonyx convexus (Heynemann, 1868), 2 cm long, terrestrial gastropod, Succineidae; (D) Gadila pandionis (Verrill & Smith, 1880), 11 mm long, scaphopod, Gadilidae; (E) Eulima bifasciata d'Orbigny, 1841, 8.1 mm long – marine gastropod, Eulimidae; (F) Eucallista purpurata (Lamarck, 1818), ~45 mm long, marine bivalve, Veneridae; (G) Mactrella janeiroensis (E.A. Smith, 1915), 27.7 mm long, marine bivalve, Mactridae; (H) Octopus insularis Leite & Haimovici, 2008, photo by C. Sampaio, ~80 mm long – cephalopod, Octopodidae; (I) Megalobulimus oblongus (Müller, 1774), ~118 mm long, terrestrial gastropod, Strophocheilidae; (J) Biomphalaria glabrata (Say, 1818), ~15 mm long, freshwater gastropod, Planorbidae; (K) Cardiomya minerva Lima, Oliveira & Absalão, 2020, 4.3 mm long, SEM image, marine bivalve, Cuspidariidae; (L) Corbula patagonica d'Orbigny, 1846, ~14 mm long, marine bivalve, Corbulidae; (M) Scutopus variabilis Passos, Corrêa & Miranda, 2021, ~12 mm long, aplacophoran, Caudofoveata; (N) Chicoreus brevifrons (Lamarck, 1822), ~40 mm long, marine gastropod, Muricidae.
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.