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.
48
datasets available to search
ShareScore release 0.9.0
Dataset results
48 results for “Dental microwear”
FIG. 2 in Feeding habits of the first European colobine, (Mammalia, Primates): evidence from a comparative dental microwear analysis with modern cercopithecids
FIG. 2. — Dental facets nine of second molars for extant and extinct cercopithecids displaying dental microwear scars: A, Nasalis larvatus (Wurmb, 1787) (ZSM-1907-4023); B, Lophocebus albigena (Gray, 1850) (RMCA-83-006-0276); C, Chlorocebus aethiops (Linnaeus, 1758) (MNHN-CG-1972-309); D, Papio hamadryas hamadryas Linnaeus, 1758 (SNG-15831); E, Mesopithecus delsoni/ pentelicus (HD-340); F, M. pentelicus (NHMW-1998z77-14). Scale bars: 300 μm.
Figure 6 in Dental microwear in the orthodentine of the Xenarthra (Mammalia) and its use in reconstructing the palaeodiet of extinct taxa: the case study of Nothrotheriops shastensis (Xenarthra, Tardigrada, Nothrotheriidae)
Figure 6. Hierarchical cluster dendrogram (same method as Fig. 3) including Nothrotheriops shastensis among all extant xenarthran taxa. Note that N. shastensis clusters with extant folivores (Bradypus).
Figure 3 in Dental microwear in the orthodentine of the Xenarthra (Mammalia) and its use in reconstructing the palaeodiet of extinct taxa: the case study of Nothrotheriops shastensis (Xenarthra, Tardigrada, Nothrotheriidae)
Figure 3. Hierarchical cluster dendrogram of microwear variables for all extant xenarthran species in this study. Euclidean distance measure is used. Note that folivores (Bradypus) cluster together (shaded area).
Figure 4 in Dental microwear in the orthodentine of the Xenarthra (Mammalia) and its use in reconstructing the palaeodiet of extinct taxa: the case study of Nothrotheriops shastensis (Xenarthra, Tardigrada, Nothrotheriidae)
Figure 4. Plot of mean scratch and pit values for individual Cabassous centralis specimens (N = 11) in relation to extant xenarthran dietary ecomorphospaces from Fig. 2. The four individuals with highest scratch values are labelled by specimen number for reference within text.
Data from: Dietary constraints of phytosaurian reptiles revealed by dental microwear textural analysis
Phytosaurs are a group of large, semi-aquatic archosaurian reptiles from the Middle–Late Triassic. They have often been interpreted as carnivorous or piscivorous due to their large size, morphological similarity to extant crocodilians and preservation in fluvial, lacustrine and coastal deposits. However, these dietary hypotheses are difficult to test, meaning that phytosaur ecologies and their roles in Triassic food webs remain incompletely constrained. Here, we apply dental microwear textural analysis to the three-dimensional sub-micrometre scale tooth surface textures that form during food consumption to provide the first quantitative dietary constraints for five species of phytosaur. We furthermore explore the impacts of tooth position and cranial robusticity on phytosaur microwear textures. We find subtle systematic texture differences between teeth from different positions along phytosaur tooth rows, which we interpret to be the result of different loading pressures experienced during food consumption, rather than functional partitioning of food processing along tooth rows. We find rougher microwear textures in morphologically robust taxa. This may be the result of seizing and processing larger prey items compared to those captured by gracile taxa, rather than dietary differences per se. We reveal relatively low dietary diversity between our study phytosaurs and that individual species show a lack of dietary specialisation. Species are predominantly carnivorous and/or piscivorous, with two taxa exhibiting slight preferences for 'harder' invertebrates. Our results provide strong evidence for higher degrees of ecological convergence between phytosaurs and extant crocodilians than previously appreciated, furthering our understanding of the functioning and evolution of Triassic ecosystems.
Dental microwear and mesowear raw data for European and East Asian Late Pleistocene hyenas Crocuta spelaea and C. ultima ussurica
<p>Raw microwear data related to the paper "<strong>Comparison of paleodiet and niches of European and East Asian Late Pleistocene hyenas <em>Crocuta spelaea</em> and <em>C. ultima ussurica</em> based on the study of tooth microwear</strong>"</p>
Data from: First application of dental microwear texture analysis to infer theropod feeding ecology
<p>Theropods were the dominating apex predators in most Jurassic and Cretaceous terrestrial ecosystems. Their feeding ecology has always been of great interest, and new computational methods have yielded more detailed reconstructions of differences in theropod feedings behaviour. Many approaches however rely on well-preserved skulls. Dental microwear texture analysis (DMTA) is potentially applicable to isolated teeth, and here employed for the first time to investigate dietary ecology of theropods. In particular, we test whether tyrannosaurids show DMT associated with more hard-object feeding than compared to Allosaurus – which would be a sign for higher levels of osteophagy, as has often been suggested. We find no significant difference in complexity and roughness of enamel surfaces between Herrerasaurus, Allosaurus, and tyrannosaurids, which conflicts with inferences of more frequent osteophagic behaviour in Tyrannosaurus as compared to other theropods. Orientation of wear features reveals a more pronounced bi-directional puncture-and-pull feeding mode in Allosaurus than in tyrannosaurids. Our results further indicate ontogenetic niche shift in theropods and crocodylians, significantly larger height parameters in juvenile theropods might indicate frequent scavenging, resulting in more bone-tooth contact during feeding. Overall, DMTA is found to be very similar between theropods and extant large, broad-snouted crocodylians and shows great similarity in feeding ecology of theropod apex predators throughout the Mesozoic.</p>
Fig. 2 in Mandible morphometrics, dental microwear pattern, and palaeobiology of the extinct Balearic Dormouse Hypnomys morpheus
Fig. 2. Distribution of the area (A) and circularity (B) of the mandibles of Hypnomys and Eliomys.
Dental microwear data for the ungulates from the Lazaret Cave
<p>Raw data from the low-magnification analysis (x35) of dental microwear of the ungulates (Equus caballus, Cervus elaphus, Capreolus capreolus, Bos primigenius, Bison priscus, Capra ibex) from the Lazaret Cave</p>
Dental mesowear and microwear raw data for Cervus elaphus, Rupicapra pyrenaica and Sus scrofa from Balma del Gai; and the ANOVA - test for equal means
<p>Quantitative data for the dental microwear and mesowear analyses on <em>Cervus elaphus</em>, <em>Rupicapra pyrenaica </em>and <em>Sus scrofa</em> from the Epipalaeolithic sequence of Balma del Gai (Moià, Spain). And the ANOVA - Test for equal means.</p>
Dental microwear data for Anthracotherium sp. and Entelodon magnus from the Quercy Phosphorites formation
<p>Raw data from the low-magnification analysis (x35) of dental microwear of <em>Anthracotherium </em>sp. and <em>Entelodon magnus</em> from the Quercy Phosphorites formation</p>
Supplementary information for: Dental microwear texture analysis reveals a likely dietary shift within Late Cretaceous ornithopod dinosaurs.
<p>This supplementary information includes 19 datasets and 95 sur files. Dataset 1 to 11 and 13 to 19 are in one excel file (“1. Supplementary Dataset 1-11 13-17_MS.xlsx “) and each dataset is in a separate excel sheet. Dataset 12 is a nexus file that contains a phylogenetic tree of ornithischian dinosaurs used in the analysis of this study (“2. DatasetS12 tree.nex”). Other 95 sur format files are original 3D surface files that are obtained by scanning tooth surface of ornithischian tooth fossils using a laser microscope VK-9700. Sur file can be opened by a surface roughness software MountainsMap. Surface roughness parameters obtained from these Sur files are in Supplementary dataset 1.</p> <p>Datasets 13 to 19 are results of statistical analyses that excluded data from <em>Thescelosaurs</em>.</p> <p> </p> <p>Below is an explanation for each dataset.</p> <p>Supplementary Dataset 1. Normalized dental microwear texture parameters.</p> <p>Supplementary Dataset 2. Results of the statistical analysis that examined effect of geological ages and enamel locations on each dental microwear texture parameter.</p> <p>Supplementary Dataset 3. Results of the statistical analysis that include body size as an explanatory variable.</p> <p>Supplementary Dataset 4. Eigen values of principal components obtained by the PCA of dental microwear texture parameters.</p> <p>Supplementary Dataset 5. Loading matrix of the PCA.</p> <p>Supplementary Dataset 6. Results of statistical analyses that examined effect of geological ages and enamel locations on PC1 and PC2.</p> <p>Supplementary Dataset 7. Bayes factors for the evolutionary model fitting of PC1.</p> <p>Supplementary Dataset 8. Bayes factors for the evolutionary model fitting of Sdr.</p> <p>Supplementary Dataset 9. Bayes factors for the evolutionary model fitting of Sha.</p> <p>Supplementary Dataset 10. Bayes factors for the evolutionary model fitting of Sq.</p> <p>Supplementary Dataset 11. Bayes factors for the evolutionary model fitting of Vvv.</p> <p>Supplementary Dataset 12. Phylogenetic trees used for the model fitting.</p> <p>Supplementary Dataset 13. Without <em>Thescelosaurus</em>: Results of the statistical analysis that examined effect of geological ages and enamel locations on each dental microwear texture parameter.</p> <p>Supplementary Dataset 14. Without <em>Thescelosaurus</em>: Results of statistical analyses that examined effect of geological ages and enamel locations on PC1 and PC2.</p> <p>Supplementary Dataset 15. Without Thescelosaurus: Bayes factors for the evolutionary model fitting of PC1.</p> <p>Supplementary Dataset 16. Without <em>Thescelosaurus</em>: Bayes factors for the evolutionary model fitting of Sdr.</p> <p>Supplementary Dataset 17. Without <em>Thescelosaurus</em>: Bayes factors for the evolutionary model fitting of Sha.</p> <p>Supplementary Dataset 18. Without <em>Thescelosaurus</em>: Bayes factors for the evolutionary model fitting of Sq.</p> <p>Supplementary Dataset 19. Without <em>Thescelosaurus</em>: Bayes factors for the evolutionary model fitting of Vvv.</p>
Data from: First application of dental microwear texture analysis to infer theropod feeding ecology
Open the record for dataset details and reuse information.
Data from: Dietary constraints of phytosaurian reptiles revealed by dental microwear textural analysis
Open the record for dataset details and reuse information.
Dust and grit matter: abrasives of different size lead to opposing dental microwear textures in experimentally fed sheep (Ovis aries)
Open the record for dataset details and reuse information.
Dental raw mesowear and microwear data for Equus ferus and Cervus elaphus from Abreda Cave (levels D-I) and Bora Gran (Spain)
<div> </div> <div>Raw data from the low-magnification analysis (x35) of dental microwear and mesowear analysis of <em>Equus ferus</em> and <em>Cervus elaphus</em> from the Late Pleistocene levels from Abreda Cave (levels D-I) and Bora Gran (Spain).</div>
Dental microwear raw data for cave bears from Kudaro 1 and Kudaro 3 caves
<p>Quantitative data for dental microwear analysis on <em>U</em>. <em>praekudarensis</em>, <em>U</em>. <em>praekudarensis </em>/ <em>kudarensis </em>and <em>U</em>. <em>kudarensis </em>from Kudaro Caves 1 and 3 <span>on the southern slope of the Central Caucasus (42° 31´ N, 43° 38´ E)</span></p>
Dental raw mesowear and microwear data for Equus ferus arcelini from Roc-aux-Sorciers (France)
<p>Raw data from the low-magnification analysis (x35) of dental microwear and mesowear analysis of <em>Equus ferus arcelini</em> from the Magdalenian levels from Roc-aux-Sorciers (France).</p>
Unpublished raw data of dental mesowear and microwear for ungulates from Late Palaeolithic sites from Catalonia (Spain)
<p>Unpublished raw data from the low-magnification analysis (x35) of dental microwear and mesowear of ungulates from the Late Palaeolithic sites in Catalonia: Molí del Salt, Roca dels Bous, Cova del Parco and Montlleó</p>
FIGURE 9 in Paleoecology of the Rhinocerotidae (Mammalia, Perissodactyla) from Béon 1, Montréal-du-Gers (late early Miocene, SW France): Insights from dental microwear texture analysis, mesowear, and enamel hypoplasia
FIGURE 9. Prevalence of hypoplasia (all types) by species and tooth locus. A- Number of hypoplastic teeth (dark colors) compared to the number of healthy teeth (light colors). B- Frequency of hypoplastic teeth (dark colors) and healthy teeth (light colors). White stands for non-documented loci.
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.