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.
12,871
datasets available to search
ShareScore release 0.9.0
Dataset results
12,871 results for “aging;”
Population-based age-stratified seroepidemiological investigation protocol for coronavirus 2019 (COVID-19) infection in Kyrgyz Republic
<p>Results of population-based age stratified seroepidemiological investigation in Kyrgyzstan.</p>
R script used for: Telomeres in a spatial context: a tool for understanding ageing pattern variation in wild populations
<p><span><span><span><span><span><span><span><span><span><span><span>Ageing refers to the loss of organismal functionality with age, a process that is characterised by decreased reproduction and survival probability. In natural populations, it is expected that environmental conditions influence an individual's ageing trajectory. Understanding the role of environmental heterogeneity on ageing variation could provide criticleinsights into population resilience and species distribution but remains overlooked. Telomeres, the end cap of chromosomes, are a promising integrative physiological marker of an individual's health and a possible proxy to aid the understanding of variation in ageing trajectories. Here, we review the existing information on telomere length and its dynamics in wild populations distributed across spatial scales. Despite a relative scarcity of information, there is evidence for divergence in telomere length between populations facing contrasting environments. Nonetheless, a higher spatial resolution and temporal replication is needed to fully understand the role that environmental conditions play on telomere length variation. Since most of the existing studies are correlational, future field and laboratory experiments are required. For the first time, we demonstrate the use of population telomere data to predict species habitat suitability through Species Distribution Models (SDMs). This represents a promising new research area in the study of ageing pattern variation in wild populations. Furthermore, the inclusion of telomere data in future physiological-SDMs may improve our understanding of species distribution and population resilience. However, the use of telomeres within this context could be limited if no previous knowledge on the relevance of telomeres as markers of health and survival at the species level is available. Finally, we suggest some key practical and theoretical considerations that, ideally, future studies combining biogeographic and telomere data should pay attention. </span></span></span></span></span></span></span></span></span></span></span></p>
DNA methylation as a tool to explore ageing in wild roe deer populations
<p>DNA methylation-based biomarkers of aging (epigenetic clocks) promise to lead to new insights into evolutionary biology of ageing. Relatively little is known about how the natural environment affects epigenetic aging effects in wild species. In this study, we took advantage of a unique long-term (>40 years) longitudinal monitoring of individual roe deer (<i>Capreolus capreolus</i>) living in two wild populations (Chizé and Trois-Fontaines, France) facing different ecological contexts, to investigate the relationship between chronological age and levels of DNA methylation (DNAm). We generated novel DNA methylation data from n = 94 blood samples, from which we extracted leucocyte DNA, using a custom methylation array (HorvathMammalMethylChip40). We present three DNA methylation-based estimators of age (DNAm or epigenetic age), which were trained in males, females, and both sexes combined. We investigated how sex differences influenced the relationship between DNAm age and chronological age using sex-specific epigenetic clocks. Our results highlight that old females may display a lower degree of biological aging than males. Further, we identify the main sites of epigenetic alteration that have distinct aging patterns between the two sexes. These findings open the door to promising avenues of research at the crossroads of evolutionary biology and biogerontology.</p>
Population-based Age-Stratified Seroepidemiological Investigation for Coronavirus 2019 (COVID-19) Infection in Indonesia
<p>Results of population-based age stratified seroepidemiological investigation in Indonesia</p>
Age-stratified sero-surveillance for SARS-CoV-2 infections in four cities in Thailand
<p>Results of population-based age stratified seroepidemiological investigation in Thailand</p>
Figure 5 in New material of Pepesuchus (Crocodyliformes; Mesoeucrocodylia) from the Bauru Group: implications about its phylogeny and the age of the Adamantina Formation
Figure 5. Palatal surfaces of the maxillary from A, Pepesuchus deiseae (MCT 1788-R), with an anterior portion of the palatines showing a tipping point, compared with B, MCT 1723-R, with a broad and round anterior portion. Grey areas are associated sediments; hatched areas are broken parts. Scale bars represent 5 cm.
Figure 3. MCT 1723-R, rostrum. A, B, dorsal views. C, D in New material of Pepesuchus (Crocodyliformes; Mesoeucrocodylia) from the Bauru Group: implications about its phylogeny and the age of the Adamantina Formation
Figure 3. MCT 1723-R, rostrum. A, B, dorsal views. C, D, ventral views. Grey areas are associated sediments; hatched areas are broken parts. Scale bars represent 5 cm.
Figure 8 in New material of Pepesuchus (Crocodyliformes; Mesoeucrocodylia) from the Bauru Group: implications about its phylogeny and the age of the Adamantina Formation
Figure 8. Right maxillary tooth of MCT 1723-R, showing the false ziphodont condition. Grey areas are associated sediments; hatched areas are broken parts. Scale bar represents 5 cm.
Figure 7 in New material of Pepesuchus (Crocodyliformes; Mesoeucrocodylia) from the Bauru Group: implications about its phylogeny and the age of the Adamantina Formation
Figure 7. Comparison between the suture pattern of the following: A, Pepesuchus deiseae MN 7005-V; B, MCT 1723-R; C, Barreirosuchus franciscoi (MPMA 04-0012-00); D, Montealtosuchus arrudacamposi (MPMA-16-0007-04); E, Notosuchus terrestris (MLP 64 IV-16-5 (253)); and F, Stratiotosuchus maxhechti (DGM 1477-R). Grey areas are associated sediments; hatched areas are broken parts. Scale bars represent 1 cm (B–E) or 7 cm (F).
Figure 9 in New material of Pepesuchus (Crocodyliformes; Mesoeucrocodylia) from the Bauru Group: implications about its phylogeny and the age of the Adamantina Formation
Figure 9. Calibrated cladogram for the consensus strictus for the three most parsimonious trees, depicting only Mesoeucrocodylia. For the complete cladogram, refer to Supplementary Information Data S3. Mesoeucrocodylia. For the complete cladogram, refer.
Figure 6. MCT 1723-R, mandible. A, B, distal views. C, D in New material of Pepesuchus (Crocodyliformes; Mesoeucrocodylia) from the Bauru Group: implications about its phylogeny and the age of the Adamantina Formation
Figure 6. MCT 1723-R, mandible. A, B, distal views. C, D, ventral views. Grey areas are associated sediments; hatched areas are broken parts. Scale bars represent 5 cm.
Figure 1 in Temporal distribution and age structure of tadpoles of Hypsiboas faber and H. leptolineatus in ponds: how do they coexist?
Figure 1. Total abundance (black columns), abundance at Gosner stage 25 (grey columns), and mean size (black circles) of Hypsiboas faber (A) and Hypsiboas leptolineatus (B) tadpoles sampled in four ponds over a year.
Figure 2 in Temporal distribution and age structure of tadpoles of Hypsiboas faber and H. leptolineatus in ponds: how do they coexist?
Figure 2. Total length ratios of Hypsiboas faber and H. leptolineatus tadpoles in four ponds (T1, T2, T3 and P1) from October 2005 through to September 2006. The dashed line (—) indicates the value of 1.3 on the vertical axis.
Frequency of biologically-defined AD in relation to age, sex, APOEε4 and cognitive impairment in a prospective cohort study
<p><b>Objective:</b> <span> To assess the frequency of biologically-defined Alzheimer's disease (AD) in relation to age, sex and <i>APOEε4</i>, as well as rates of discordance between clinically- and biologically defined AD. </span></p> <p><b>Methods:</b> <span>We assessed cognitively unimpaired (CU) elderly (n=166), amnestic MCI (n=77) and probable AD dementia (n=62) subjects who underwent evaluation by dementia specialists and neuropsychologists in addition to amyloi</span>d-PET with [<sup>18</sup>F]AZD4694<span> and tau-PET with [<sup>18</sup>F]MK6240. Individuals were grouped according to their AD biomarker profile. Positive predictive value for biologically-defined AD was assessed in relation to clinical diagnosis. Frequency of AD biomarker profiles were assessed using logistic regressions with odds ratios and 95% CIs.</span></p> <p><b>Results:</b> <span>The clinical diagnosis of probable AD dementia demonstrated good agreement with biologically-defined AD (positive predictive value: 85.2%). 7.88% of CU elderly subjects were positive for both amyloid-PET and tau-PET. Frequency of biologically-defined AD increased with age (OR: 1.14; p<0.0001) and frequency of <i>APOEε4</i> allele carriers (Single <i>ε4: </i>OR: 3.82; <i>p</i><0.0001; Double <i>ε4: </i>OR: 17.55, <i>p</i><0.0001). </span></p> <p><b>Discussion:</b> While we observed <span>strong, but not complete, agreement between clinically-defined "probable AD" dementia and biomarker positivity for both amyloid</span>-β<span> and tau, we also observed that biologically-defined AD was not rare in CU elderly. A</span>bnormal tau-PET was almost exclusively observed in individuals with abnormal amyloid-PET. <span>Our results highlight that even in tertiary care memory clinics, detailed evaluation by dementia specialists systematically underestimates the frequency of biologically-defined AD and related entities. </span></p>
Figure 21 in Morphology and Bayesian tip-dating recover deep Cretaceous-age divergences among major chrysidid lineages (Hymenoptera: Chrysididae)
Figure 21. Dorsoposterior and lateral views of mesosoma. A, Holophris huberi; B, Parnopes grandior; C, E, Allocoelia capensis (Smith) (NHMUK 010576396); D, Caenochrysis nigropolita (Bischoff); F, Allocoelia emarginata Edney (NHMUK 010576397). Scale bars: 0.2 mm (A); 0.5 mm (B, D); 1 mm (C, E, F). Images of A. capensis and A. emarginata available under Creative Commons License 4.0. Natural History Museum: data.nhm.ac.uk. Arrowheads indicate morphological conditions coded as character-states.
Figure 19 in Morphology and Bayesian tip-dating recover deep Cretaceous-age divergences among major chrysidid lineages (Hymenoptera: Chrysididae)
Figure 19. Dorsal view of mesosoma. The axillae are colour-marked. A, Parnopes grandior (Pallas), male; B, Exallopyga guatemalensis (Cameron), female; C, Allocoelia emarginata Edney, female (NHMUK 010576397); D, Caenochrysis crotonis (Ducke), female. Scale bars (A, B, D): 0.5 mm; (C): 1 mm. Image of A. emarginata available under Creative Commons License 4.0. Natural History Museum: data.nhm.ac.uk. Arrowheads indicate morphological conditions coded as character-states.
Figure 18 in Morphology and Bayesian tip-dating recover deep Cretaceous-age divergences among major chrysidid lineages (Hymenoptera: Chrysididae)
Figure 18. Comparative phylogenetic hypotheses on the evolutionary relationships among tribes of the Chrysidinae cuckoo wasps obtained from different sources. A, B, cladistic morphology-based hypotheses. C, D, molecularbased hypotheses. The uncertain position of Allocoeliini is represented as '?' (the placement of this taxon was not inferred by Niehuis & Wägele, 2004).
Figure 17 in Morphology and Bayesian tip-dating recover deep Cretaceous-age divergences among major chrysidid lineages (Hymenoptera: Chrysididae)
Figure 17. Scanning electron microscopy images of morphological structures of head. A, clypeus and mandibles of Adelphe brasiliensis, male; B, clypeus of Pleurochrysis postica (Brullé); C, clypeus and mandibles of Elampus gayi (Spinola), female; D, clypeus and mandibles of Holopyga wagnerella du Buysson, female; E–H, anterior surface of mandibles: E, Caenochrysis nigropolita (Bischoff), female; F, Hedychridium periotoi Lucena, female; G, Muesebeckidium paraensis (Ducke), female; H, H. wagnerella, female. I–K, C. nigropolita, female, frontal view of scapal basin with the facial fovea shown in amplified views. Arrowheads indicate morphological conditions coded as character-states.
Figure 14 in Morphology and Bayesian tip-dating recover deep Cretaceous-age divergences among major chrysidid lineages (Hymenoptera: Chrysididae)
Figure 14. Lateral view of female metasoma. A, Cleptidea sp.; B, Adelphe sp.; C, Exallopyga guatemalensis (Cameron); D, Spintharina vagans Radoszkowski; E, Exochrysis spinigera (Spinola); F, Neochrysis carina (Brullé); G, Ipsiura myops (du Buysson); H, Chrysis brasiliensis Brullé; I, Stilbum cyanurum (Förster). Scale bars (A, B): 1 mm; (C–I): 0.5 mm.
Figure 12 in Morphology and Bayesian tip-dating recover deep Cretaceous-age divergences among major chrysidid lineages (Hymenoptera: Chrysididae)
Figure 12. Part of the maximum credibility Bayesian tree obtained from a combined analysis employing a relaxed morphological clock model with tip-dating. Phylogenetic relationships among representatives of Chrysidinae: Chrysidini partim. Character-state transformations (ChN, character; ChS, character state) are colour-coded with tagma as represented in the diagram on the bottom, and are depicted as solid (unequivocal changes) or empty (reversed or multiple changes) charts; mesosomal characters derived from legs and wings are depicted as rectangle and hexagon portrayals respectively; slow changes (DelTran optimization) are indicated by '+'.
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.