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;”
Figure 7 in Growth and textural ageing in long bones of the American alligator Alligator mississippiensis (Crocodylia: Alligatoridae)
Figure 7. Examples of porous surface patterns. A, fuzzy fibrous pattern with visible pores (UF 109039, femur). B, fuzzy fibrous pattern without visible pores (UF 109039, humerus). C, etched porosity with connecting surface grooves (UF 38974, femur). D, etched porosity (FWC 35119, humerus). E, porous surface (top) grading into radiating fibrous surface (bottom) (FWC LGS1, femur). F, dotted porosity (FWC LGS2, femur). G, overprinted etched and dotted porosity, etched more prominent (ROM R4415, femur). H, overprinted etched and dotted porosity, dotted more prominent (FWC LGS1, femur). Scale bars = 1 cm.
Figure 4 in Growth and textural ageing in long bones of the American alligator Alligator mississippiensis (Crocodylia: Alligatoridae)
Figure 4. Consensus results of cluster analyses of bone landmark characters. Distance metric is normalized percent disagreement. Complete linkage method (farthest neighbour). Numbers in parentheses represent ontogenetic stages. 'Groups' represent individuals of the same ontogenetic stage grouped together to reduce the size of the trees; included individuals are listed in Appendix 2. A, femur: tree based on distributions of characters 1, 4, 5, 8 and 10. B, tibia: tree based on distributions of characters 5, 6, 7, 8 and 9. C, humerus: tree based on distributions of characters 1, 3, 4, 6, 7 and 8.
Figure 6 in Growth and textural ageing in long bones of the American alligator Alligator mississippiensis (Crocodylia: Alligatoridae)
Figure 6. Examples of persistent coarse surfaces. A, femoral fourth trochanter in caudomedial (caudoventral) view (FWC LGS2). B, femoral proximal lateral (dorsal) surface (FWC LGS1). C, humeral medial (caudal) condyle in caudomedial (dorsocaudal) view, collateral ligament attachment site (FWC 35119). D, humeral deltopectoral crest, lateral (cranial) surface (FWC LGS3). E, humeral deltopectoral crest, craniomedial (ventrocaudal) surface (FWC 35119). F, adductor ridges on caudal surface of femoral shaft (FWC LGS2). Proximal is toward the top in all images. Scale bars = 1 cm.
Figure 3 in Growth and textural ageing in long bones of the American alligator Alligator mississippiensis (Crocodylia: Alligatoridae)
Figure 3. Strict consensus trees resulting from parsimony analyses. Numbered ontogenetic stages are defined in Table 2. A, femur: strict consensus of 34 281 trees, tree length = 18, CI = 0.3846. B, tibia: strict consensus of 357 trees, tree length = 13, CI = 0.5077. C, humerus: strict consensus of 36 trees, tree length = 15, CI = 0.4286.
Figure 9 in Growth and textural ageing in long bones of the American alligator Alligator mississippiensis (Crocodylia: Alligatoridae)
Figure 9. Relationship between bone texture type and femur length body-size proxy for all elements. A, femora. B, tibiae. C, humeri.
Fig. 3 in Age, growth, mortality and yield per recruit of the dourado Salminus brasiliensis, Corumbá Reservoir, Goiás State, Brazil
Fig. 3. Frequency per age (years) of Salminus brasiliensis individuals from Corumbá Reservoir, upstream and tributaries.
Fig. 4 in Age, growth, mortality and yield per recruit of the dourado Salminus brasiliensis, Corumbá Reservoir, Goiás State, Brazil
Fig. 4. (a) Simulation of the yield per recruit (g) in different scenarios of fishing mortality (year-1). Each curve represents a natural mortality rate (year-1) (0.1 to 0.6 with intervals of 0.1) for S. brasiliensis in the area of influence of Corumbá Reservoir. (b) Simulation of the average weight (g) in different scenarios of fishing mortality (year-1). Each curve represents a natural mortality rate (year-1) (0.1 to 0.6 with intervals of 0.1) for S. brasiliensis in the area of influence of Corumbá Reservoir.
Fig. 2 in Age, growth, mortality and yield per recruit of the dourado Salminus brasiliensis, Corumbá Reservoir, Goiás State, Brazil
Fig. 2. Monthly average (mean ± standard error; SE) of the marginal increment in scales of the dourado Salminus brasiliensis in the area of influence of Corumbá Reservoir.
Fig. 3 in Age and growth of the Argentine hake Merluccius hubbsi Marini, 1933 in the Brazilian South-Southeast Region during 1996-2001
Fig. 3. Merluccius hubbsi: scheme of a sliced otolith showing core, demersal I (De I), demersal II (De II), 1 to 3 rings and opaque edge (OP).
Fig. 5 in Age and growth of the Argentine hake Merluccius hubbsi Marini, 1933 in the Brazilian South-Southeast Region during 1996-2001
Fig. 5. Merluccius hubbsi: plot for total length (mm) and ring radius (mm) showing the constancy of otolith readings.
Fig. 4 in Age and growth of the Argentine hake Merluccius hubbsi Marini, 1933 in the Brazilian South-Southeast Region during 1996-2001
Fig. 4. Merluccius hubbsi: seasonal length class distribution obtained from surveys and commercial landings during the period 1996-2001.
Fig. 7 in Age and growth of the Argentine hake Merluccius hubbsi Marini, 1933 in the Brazilian South-Southeast Region during 1996-2001
Fig. 7. Merluccius hubbsi: seasonal average marginal incre- Fig. 9. Merluccius hubbsi: seasonal frequency of opaque (OP) ment (MI, mm) and confidence limits obtained for all fish with and translucent (TR) edges for fish otoliths with three rings. three rings.
Fig. 6 in Age and growth of the Argentine hake Merluccius hubbsi Marini, 1933 in the Brazilian South-Southeast Region during 1996-2001
Fig. 6. Merluccius hubbsi: seasonal average marginal increment (MI, mm) and confidence limits obtained for all fish with two rings.
Dataset for the paper "Understanding the emergence of drawing behaviour with age: a multi-metric analysis"
<p>Dataset for the paper "Understanding the emergence of drawing behaviour with age: a multi-metric analysis"</p> <p>We need specific and objective methods to analyse the temporal changes of drawing in children, especially those too young to communicate via verbalisations. We asked 134 children, ranging from three to ten years old, and 38 adults to draw on a tablet under two conditions: free drawing and self-portrait. We then used seven metrics from three categories (spatial, temporal, and colorimetric) in a principal component analysis (PCA). Three dimensions of the PCA explained 77% of the variance in the drawings. We named these dimensions as diversity, sequentiality, and efficiency, which provided a mechanism for better understanding the intentionality and representativeness behind drawing. Gender had no effect, but age influenced all three dimensions differently. This multi-metric approach is a powerful tool for investigating the ontogenetic development of drawing, and could be used to understand the evolution of this behaviour by applying it to the study of primates, or to reveal drawing characteristics in people with autism and depression or those from different cultures.</p>
FIG. 6. A. IGM 100 in A new specimen of the ornithischian dinosaur Haya griva, cross-Gobi geologic correlation, and the age of the Zos Canyon beds
FIG. 6. A. IGM 100/3181.Two carpals in unknown orientation. B. Metacarpal I and manual phalanx I-1 in dorsal view. C. Metacarpal II or III and manual phalanx in dorsal view. D. Manual phalanx in dorsal view. E. Three ungual phalanges in partial dorsal view.
Questionnaire on gender and age-related peculiarities in informed consent to clinical trials – National legislation
<p>European experts from the six selected countries (Germany, Spain, Austria, France, Italy, and United Kingdom) included in research done within task 1.3 (Ethical and legal review of gender and age-related issues associated with the acquisition of informed consent) participated in a survey on gender and age-related peculiarities in informed consent to clinical trials within national legislations.</p> <p>Experts were selected for their high-level scientific expertise in the fields relevant to the objectives of task 1.3. A short questionnaire on “Gender and age-related peculiarities in informed consent to clinical trials within national legislations" has been prepared and circulated to contact experts. This questionnaire was meant to identify the legal review process and collect up-to-date data. It was structured in 10 queries, exclusively aimed at obtaining hard law and soft law information pertaining to the topics addressed in task 1.3.</p>
Setting files from: Simulated patterns of mitochondrial diversity are consistent with partial population turnover in Bronze Age Central Europe
<p><strong>Simulated Data and Simulation Program</strong></p> <p>This dataset release permits to simulate the scenarios investigated in the article entitled "Simulated patterns of mitochondrial diversity are consistent with partial population turnover in Bronze Age Central Europe" by Broccard et al, using the program SPLATCHE3, which is included.</p> <p>There is a zipped folder "Broccard_et_al_SimulationData.zip" that contains i) a "ReadMe.txt" file with the instructions to launch the simulations; ii) the executable called "SPLATCHE3-Linux-64b"; iii) the input settings file for the various scenarios.</p> <p>See Broccard, N, Silva, NM and & Currat M., American Journal of Biological Anthropology (2021), for background and http://www.splatche.com/splatche3 for more information about the simulation program.</p>
Data from: Age estimation using methylation-sensitive high-resolution melting (MS-HRM) in both healthy felines and those with chronic kidney disease
<p>Age is an important ecological tool in wildlife conservation. However, it is difficult to estimate in most animals, including felines — most of whom are endangered. Here, we developed the first DNA methylation-based age-estimation technique — as an alternative to current age-estimation methods — for two feline species that share a relatively long genetic distance with each other: domestic cat (<i>Felis catus</i>; 79 blood samples) and an endangered <i>Panthera</i>, the snow leopard (<i>Panthera uncia</i>; 11 blood samples). We measured the methylation rates of two gene regions <span>using </span>methylation-sensitive high-resolution melting (MS-HRM). Domestic cat age was estimated with a mean absolute deviation (MAD) of 3.83 years. Health conditions influenced accuracy of the model. Specifically, the models built on cats with chronic kidney disease (CKD) had lower accuracy than those built on healthy cats. The snow leopard-specific model (i.e. the model that resets the model settings for snow leopards) had a better accuracy (MAD = 2.10 years) than that obtained on using the domestic cat model directly. This implies that our markers could be utilised across species, although changing the model settings when targeting different species could lead to better estimation accuracy. The snow leopard-specific model also successfully distinguished between sexually immature and mature individuals.</p>
Data from: Dinosaurian survivorship schedules revisited: new insights from an age-structured population model
<p>Little is known on dinosaur population biology due to insufficient information on age-dependent fecundities and mortalities. So far, survivorship curves (hereafter SC) of only six dinosaurs (four tyrannosaurs, one ceratopsian, one hadrosaur) were erected from bone assemblages of aged specimens. They indicate high survival throughout most of their life with presumable higher mortalities after hatching and increasing mortalities towards its end. However, all studies ignored that assemblages must preserve stationary age distributions (i.e., the population's age distribution is stable and its size is constant over time as overall population fecundities match mortalities, hereafter SAD population) to infer a reliable SC for a taxon.</p> <p>To assess SCs of these dinosaurs, I built a simple population model with age-dependent fecundities and survival rates. Its few input parameters are maximum longevity, age at sexual maturation and maximum annual offspring number, on which information exists in these dinosaurs. As bone histological studies and scaling relationships provide estimates on its three parameters, my model is also applicable to other extinct taxa.</p> <p> Modelling suggests that bone assemblages did not preserve SAD populations. SCs determined for SAD populations of <i>Albertosaurus sarcophagus</i>,<i> Gorgosaurus libratus</i>, <i>Dasplatosaurus torosus</i> and <i>Tyrannosaurus rex</i> indicated that low mortalities follow high mortalities early in their life or that mortalities were rather constant throughout their life. In <i>Psittacosaurus lujiatuensis</i> modelling suggests low mortalities throughout most of its life that increase towards its end. The SC of <i>Maiasaura peeblesorum</i> was not questioned by my model as it is unable to capture sigmoidal or other composite SCs.</p>
Age-specific effects of deletions: Implications for ageing theories
<p><span>Evolution of ageing requires mutations with late-life deleterious effects. Classic theories assume these mutations either have neutral (Mutation Accumulation) or beneficial (Antagonistic Pleiotropy) effects early in life, but it is also possible that they start out as mildly harmful and gradually become more deleterious with age. Despite a wealth of studies on the genetics of ageing, we still have a poor understanding of how common mutations with age-specific effects are and what ageing theory they support. To advance our knowledge on this topic we measure a set of genomic deletions for their heterozygous effects on juvenile performance, fecundity at three ages, and adult survival. Most deletions have age-specific effects, and these are commonly harmful late in life. Many of the deletions assayed here would thus contribute to ageing if present in a population. Taking only age-specific fecundity into account, some deletions support Antagonistic Pleiotropy, but the majority of them better fit a scenario where their negative effects on fecundity become progressively worse with age. Most deletions have a negative effect on juvenile performance, a fact which strengthens the conclusion that deletions primarily contribute to ageing through negative effects that amplify with age.</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.