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dryad40/100

Datasets and code for manuscript: Age, breed, sex, and diet influence serum metabolite profiles of 2000 pet dogs

<p>Physiology affects metabolism, but there is a lack of large-scale studies investigating the effects of different physiological factors on canine metabolism. We utilised generalised linear models to study how age, breed, sex, sterilisation status, size, diet type, and fasting time before blood sampling affect serum concentrations of 119 metabolite measurands in over 2000 pet dogs. This dataset contains input files and code for the analyses. </p>

opencc-zeroFeb 2022View details →
zenodo40/100

Age, sex, length (mm), weight (g), and plasma sex steroid concentrations (ng/ml) of greater amberjack Seriola dumerili reared in sea cages during the process of sex differentiation

<p>The dataset contains an excel file&nbsp;with the age, sex, total&nbsp;length (mm), wet weight (g) and plasma concentrations (ng/ml) of the following sex steroids, measured with the use of liquid chromatography/tandem mass spectrometry (LC-MS/MS):&nbsp;adrenosterone (Ad), androstenedione (&Delta;4), 11-ketotestosterone (11&Kappa;&Tau;), testosterone (&Tau;), estradiol (&Epsilon;2), progesterone (P4) and 17,20&beta;-dihydroxy-4-pregnen-3-one (17,20&beta;P).</p>

opencc-by-4.0Dec 2021View details →
zenodo40/100

Fig. 5 in Patterns of tooth crown wear in Dryomys nitedula (Mammalia, Rodentia): age-related variation in the light of annual cycle specifics based on museum collections

Fig. 5. Changes in the external appearance of the forest dormouse during the first year of life. The animal was caught in early June 2009 near Luhansk: a — 19 of June, 1–2 weeks old, feeding exclusively with insects, mainly locusts; b — 16 of July, 1+ month of age, active motions, feeding with insects, including locusts, butterflies, and mealworms; c — 18 of August, 2+ months of age, low mobility, willingly feeding with mealworms, also began to consume nuts, honey, and cookies; d — 16 of September, 3+ months of age, low mobility, feeding almost exclusively with nuts, honey and other energy-rich products instead of insects, which became less preferred.

opencc-by-4.0May 2020View details →
zenodo40/100

Fig. 3 in Size-At-Age Variability And Sexual Dimorphism Of Morphometric Characteristics In The Late Ontogenesis Of The Marsh Frog, Pelophylax Ridibundus (Anura, Ranidae), From Terrytory Of Crimea

Fig. 3. The differentiation of males (А) and females (B) of the marsh frog according to the absolute values of the body measurements.

opencc-by-4.0Jul 2019View details →
zenodo40/100

Fig. 2 in Size-At-Age Variability And Sexual Dimorphism Of Morphometric Characteristics In The Late Ontogenesis Of The Marsh Frog, Pelophylax Ridibundus (Anura, Ranidae), From Terrytory Of Crimea

Fig. 2. Micrographs of cross- sections through the middle part of the diaphysis of the fifth phalange of the fourth toe of frogs: a, b, c, d, e — the arrow indicates the lines that correspond wintering 1–5.

opencc-by-4.0Jul 2019View details →
dryad40/100

Sex-specific body mass aging trajectories in adult Asian elephants

<p><span>In species with marked sexual dimorphism, the classic prediction is that the sex which undergoes stronger intrasexual competition ages earlier or quicker. However, more recently, alternative hypotheses have been put forward, showing that this association can be disrupted. Here, we utilise a unique, longitudinal dataset of a semi-captive population of Asian elephants (<em>Elephas maximus</em>), a species with marked male-biased intrasexual competition, with males being larger and having shorter lifespans, and investigate whether males show earlier and/or faster body mass ageing than females. We found evidence of sex-specific body mass ageing trajectories: adult males gained weight up to the age of 48 years old, followed by a decrease in body mass until natural death. In contrast, adult females gained body mass with age until a body mass decline in the last year of life. Our study shows sex-specific ageing patterns, with an earlier onset of body mass declines in males than females, which is consistent with the predictions of the classical theory of ageing.</span></p>

opencc-zeroApr 2022View details →
dryad40/100

Data from: Telomere length declines with age, but relates to immune function independent of age in a wild passerine

<p><span>Telomere length (TL) shortens with age but telomere dynamics can relate to fitness components independent of age. Immune function often relates to such fitness components and can also interact with telomeres. Studying the link between TL and immune function may therefore help us understand telomere-fitness associations. We assessed the relationships between erythrocyte TL and four immune indices (haptoglobin, natural antibodies, complement activity, heterophil-lymphocyte ratio; n=477-589), from known-aged individuals of a wild passerine (<em>Malurus coronatus</em>). As expected, we find that TL significantly declined with age. To verify whether associations between TL and immune function were independent of parallel age-related changes (e.g. immunosenescence), we statistically controlled for sampling age, and used within-subject centring of TL to separate relationships within or between individuals. We found that TL positively predicted complement activity at the between-individual level (individuals with longer average TL had higher complement activity), but no other immune indices. In contrast, age predicted levels of natural antibodies and heterophil-lymphocyte ratio, allowing inference that respective associations between TL and age with immune indices are independent. Any links existing between TL and fitness are therefore unlikely to be strongly mediated by innate immune function, while TL and immune indices appear independent expressions of individual heterogeneity.</span></p>

opencc-zeroApr 2022View details →
zenodo40/100

UF & UAB's Phase 2 Demonstration Study: Developing a Model to Support Transportation System Decisions considering the Experiences of Drivers of all Age Groups with Autonomous Vehicle Technology (Project A3)

<p>Enclosed you will find the data collected during our STRIDE Phase II research project (A3) and a data dictionary.</p>

opencc-by-4.0May 2022View details →
dryad40/100

Adult facilitation becomes competition as juvenile soapberry bugs age

<p>Intraspecific interactions can change from facilitative to competitive depending on the organism's ontogeny. In plant-feeding insects, host plant defenses can be strengthened or weakened by insect feeding, and can therefore be important for determining whether two insects feeding on the same plant help or harm each other's fitness. Here I conducted two experiments looking at the direct effect of a physical seed defense and the role of intraspecific facilitation in reducing the effects of that defense for juveniles of the red-shouldered soapberry bug. I demonstrate that juveniles are severely inhibited by the tough seed coat of their host plant, leading to high mortality early in development. Adults, in contrast, can create holes through which younger individuals could potentially feed. I manipulated whether or not seeds were fed on by adults on two host plant species: a well-defended native host and a poorly defended introduced host. Survival in the first week of development was dramatically improved by prior adult feeding and this facilitation was stronger on the well-defended host plant. However, the benefits of prior adult feeding ceased after the first week of development and shifted to having a negative effect on survival, development time, and body size. These results indicate that ontogeny is a key factor determining the effects of plant defenses and the strength and direction of intraspecific interactions across multiple host plant species.</p>

opencc-zeroAug 2022View details →
zenodo40/100

A dataset of archaeobotanical macroremains (staple crops) during the Neolithic and Bronze Ages in northern China

<p>Dataset of archaeobotanical macroremains includes a total of 538 flotation results from 381 sites with millets excavated during the Neolithic and Bronze Ages in northern China.&nbsp; Two steps of screening have been applied to eliminate inapplicable sites. The dataset only consisted of staple crops according to traditional Chinese agriculture: foxtail millet (Setaria italica), broomcorn millet (<em>Panicum miliaceum</em>), rice (<em>Oryza sativa</em>), wheat and barley (<em>Triticum aestivum</em> and <em>Hordeum vulgare</em>), and soybean (<em>Glycine max</em>). Informations of absolute counts and weights of staple crops, percentage of counts and weights for each site together with their locations and ages were assembled.</p>

opencc-by-4.0Apr 2022View details →
zenodo40/100

High elevation forest age structure across an elevational gradient in the Greater Yellowstone Ecosystem

<p>Dataset for Blomdahl et al. 2022. Drivers of forest change in the Greater Yellowstone Ecosystem. Journal of Vegetation Science.&nbsp;</p> <p>See publication for site description and methods.&nbsp;</p> <p>Descriptions for variables in &ldquo;trees_seedlings.csv&rdquo;:</p> <p><strong>Plot_ID: </strong>Plot identifier. Nomeclature follows transect name and plot number. ECO=&quot;Ecotone&quot; transect, SBM=&quot;South Bird Mountain&quot; transect.</p> <p><strong>Year_Sampled: </strong>Samples collected 2017-2019.</p> <p><strong>Tree_ID: </strong>Identifier for unique trees and seedlings.&nbsp;</p> <p><strong>Core: </strong>Tree core sample identifier. Applies only to trees (cores not taken from seedlings). Generally, 2 cores were taken per Tree &gt;5 cm DCH, though sometimes up to 4 were collected if a sample was rotten.</p> <p><strong>Sample_ID: </strong>Identifier for unique samples, some of which come from the same tree (for unique individuals: &quot;Tree_ID&quot;). Applies to trees and seedlings.</p> <p><strong>Form: </strong>Stems &gt;5 cm diameter at coring height (DCH), coring height=30 cm; Seedlings &gt;30: Stems &lt;5 cm DCH and &gt;30 cm in height (sometimes referred to as &quot;saplings&quot;); Seedlings &lt;30: Stems &lt;30 cm in height</p> <p><strong>Species: </strong>ABLA=<em>Abies</em> <em>lasiocarpa</em>, PIAL=Pinus <em>albicaulis</em>, PICO=<em>Pinus</em> <em>contorta</em>, PIEN=<em>Picea</em> <em>engelmannii</em>, PSME=<em>Pseudotsuga</em> <em>menziesii</em></p> <p><strong>Diam_30_cm: </strong>Diameter (cm) at 30 cm sample height.</p> <p><strong>Diam_0_cm: </strong>Diameter (cm) at 0 cm sample height (i.e., the base). Only seedlings were measured at base, not trees.</p> <p><strong>Seedling_Ht_cm: </strong>Length of seedling stem (cm).</p> <p><strong>Bark_Thick_cm: </strong>&nbsp;Bark thickness (cm). Not recorded in 2018. Bark thickness assumed to be &lt;0.1 cm for seedlings.</p> <p><strong>Live_Dead: </strong>Live/Dead status when sampled. L=Live, D=Dead.</p> <p><strong>Canopy: </strong>Canopy position. D=Dominant, C=Codominant. S=Suppressed. Not recorded in 2017. All seedlings assumed suppressed.</p> <p><strong>Outer_Ring: </strong>Last complete year of growth, generally one year prior to Year_Sampled for live trees. Mortality year for dead trees.</p> <p><strong>Inner_Ring:</strong> Year of innermost ring measured in tree core sample measured at 30 cm sample height. Does not apply to seedlings, which were sampled as cross sections, and therefore the pith was always measureable.</p> <p><strong>Pith_30: </strong>Year of the first ring of the tree or sapling, measured at 30 cm sampling height.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</p> <p><strong>Pith_0: </strong>Year of the first ring of the seedling, measuring at 0 cm sampling height (i.e., the base). Applies only to seedlings, which were destructively sampled at the base.</p> <p><strong>Estab_Year: </strong>Estimated year of establishment for trees and saplings, same as Pith_0 for seedlings. See methods of Blomdahl et al., 2022, for how establishment year was estimated.</p> <p><strong>Age:</strong> Estimated age of the tree.</p>

opencc-by-4.0Jun 2022View details →
dryad40/100

Effects of developmental and adult environments on ageing

<p>Developmental and adult environments can interact in complex ways to influence the fitness of individuals. Most studies investigating effects of the environment on fitness focus on environments experienced and traits expressed at a single point in an organism's life. However, environments vary with time, so the effects of the environments that organisms experience at different ages may interact to affect how traits change throughout life. Here we test whether thermal stress experienced during development leads individuals to cope better with thermal stress as adults. We manipulated temperature during both development and adulthood and measured a range of life-history traits, including senescence, in male and female seed beetles (Callosobruchus maculatus). We found that thermal stress during development reduced adult reproductive performance of females. In contrast, lifespan and age-dependent mortality were affected more by adult than developmental environments, with high adult temperatures decreasing longevity and increasing age-dependent mortality. Aside from an interaction between developmental and adult environments to affect age-dependent changes in male weight, we did not find any evidence of a beneficial acclimation response to developmental thermal stress. Overall, our results show that effects of developmental and adult environments can be both sex- and trait- specific, and that a full understanding of how environments interact to affect fitness and ageing requires the integrated study of conditions experienced during different stages of ontogeny.</p>

opencc-zeroJun 2022View details →
dryad40/100

Can disease resistance evolve independently at different ages? Genetic variation in age-dependent resistance to disease in three wild plant species

<p>1. Juveniles are typically less resistant (more susceptible) to infectious disease than adults, and this difference in susceptibility can help fuel the spread of pathogens in age-structured populations. However evolutionary explanations for this variation in resistance across age remain to be tested.</p> <p>2. One hypothesis is that natural selection has optimized resistance to peak at ages where disease exposure is greatest. A central assumption of this hypothesis is that hosts have the capacity to evolve resistance independently at different ages. This would mean that hosts populations have a) standing genetic variation in resistance at both juvenile and adult stages, and b) that this variation is not strongly correlated between age-classes so that selection acting at one age does not produce a correlated response at the other age</p> <p>3. Here we evaluated the capacity of three wild plant species (Silene latifolia, S. vulgaris, and Dianthus pavonius) to evolve resistance to their anther-smut pathogens (Microbotryum fungi), independently at different ages. The pathogen is pollinator-transmitted, and thus exposure risk is considered to be highest at the adult flowering stage.</p> <p>4. Within each species we grew families to different ages, inoculated individuals with anther smut, and evaluated the effects of age, family and their interaction on infection.</p> <p>5. In two of the plant species, S. latifolia and D. pavonius, resistance to smut at the juvenile stage was not correlated with resistance to smut at the adult stage. In all three species, we show there are significant age*family interaction effects, indicating that age-specificity of resistance varies among the plant families.</p> <p>6. Synthesis: These results indicate that different mechanisms likely underlie resistance at juvenile and adult stages and support the hypothesis that resistance can evolve independently in response to differing selection pressures as hosts age. Taken together our results provide new insight into the structure of genetic variation in age-dependent resistance in three well-studied wild host-pathogen systems.</p>

opencc-zeroJul 2022View details →
zenodo40/100

Accelerated Stress Tests for Solid Oxide Cells via Artificial Aging of the Fuel Electrode

<p><strong>AD ASTRA: Data from Experiments for Artificial Aging of the Fuel Electrode in Solid Oxide Cells&nbsp; via Redox Cycling</strong></p> <p>One of the big hurdles towards fast deployment of Solid Oxide Cells (fuel cells or electrolyzers) is&nbsp;durability. Although intensive works are carried out for life time improvement, they meet a serious problem concerning long term electrochemical tests for accumulation of reliable data that may continue several years, which is unaffordable. A problem-solving approach is the introduction of Accelerated Stress Tests (AST) applying&nbsp; high levels of stress for a shorter period thus reducing the test time for degradation qualification.</p> <p>Since there are no definite criteria for the level of acceleration of a specific degradation phenomenon, the selection of aggravating conditions is a critical moment which is under studies in the FCH JU Project AD ASTRA (GA 825027).</p> <p>Herein we present data accumulated during the development of a procedure for artificial accelerated aging of the fuel electrode via redox cycling. They include electrochemical testing (current-voltage curves and impedance measurements) and microstructural characterization (SEM-BSE image analysis), as well as procedure for redox cycling.</p>

opencc-by-4.0Apr 2022View details →
dryad40/100

Seasonal and ontological variation in diet and age-related differences in prey choice, by an insectivorous songbird

<p>The diet of an individual animal is subject to change over time, both in response to short-term food fluctuations and over longer time scales as an individual ages and meets different challenges over its life cycle. A metabarcoding approach was used to elucidate the diet of different life stages of a migratory songbird, the Eurasian reed warbler (<em>Acrocephalus scirpaceus</em>) over the 2017 summer breeding season in Somerset, UK. The faeces of adult, juvenile and nestling warblers were screened for invertebrate DNA, enabling the identification of prey species. Dietary analysis was coupled with monitoring of Diptera in the field using yellow sticky traps. Seasonal changes in warbler diet were subtle whereas age class had a greater influence on overall diet composition. Age classes showed high dietary overlap, but significant dietary differences were mediated through the selection of prey; i) from different taxonomic groups, ii) with different habitat origins (aquatic versus terrestrial) and iii) of different average approximate sizes. Our results highlight the value of metabarcoding data for enhancing ecological studies of insectivores in dynamic environments. </p>

opencc-zeroAug 2022View details →
zenodo40/100

Dataset for: Effectiveness of rectal artesunate as pre-referral treatment for severe malaria in children under 5 years of age: a multi-country observational study

<p>Dataset underlying the publication &quot;<strong>Effectiveness of rectal artesunate as pre-referral treatment for severe malaria in children under 5 years of age: a multi-country observational study</strong>&quot; (BMC Medicine)</p> <p>Data originating from the Community Access to Rectal Artesunate for Malaria (CARAMAL) Project, 2018-2021.</p> <p>Analysis of the health effect of the roll-out and administration of pre-referral rectal artesunate (RAS) in the Democratic Republic of the Congo, Nigeria and Uganda. Details provided in the publication.</p> <p>&nbsp;</p>

opencc-by-nc-4.0Oct 2021View details →
zenodo40/100

Scribe of Ages

<p>Presentaci&oacute;n del videojuego Scribe of Ages en el V Congreso Internacional &quot;Historia y Videojuegos&quot;&nbsp;</p>

opencc-by-4.0May 2022View details →
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Text-fig. 3. Litho- and biostratigraphic position of fossil floras treated herein, based on lithostratigraphic standard section of upper Oligocene and Miocene in central and eastern Germany (Standke et al. 2010, Escher et al. 2020); only exception from standard section: ** – Thierbach Member restricted to central Germany, replaces Branitz Member in eastern Germany; correlated to global scale of International Chronostratigraphic Chart 2022/02 (Cohen et al. 2013); maximum age ranges of sites/floras indicated by black bars; floristic complexes according to definitions by Mai and Walther 1991 for upper Oligocene, Mai 2000b, 2001b for Miocene; age range of MCO from Steinthorsdottir et al. 2021. in Assessment Of Phytogeographic Reference Regions For Cenozoic Vegetation: A Case Study On The Miocene Flora Of Wiesa (Germany)

Text-fig. 3. Litho- and biostratigraphic position of fossil floras treated herein, based on lithostratigraphic standard section of upper Oligocene and Miocene in central and eastern Germany (Standke et al. 2010, Escher et al. 2020); only exception from standard section: ** – Thierbach Member restricted to central Germany, replaces Branitz Member in eastern Germany; correlated to global scale of International Chronostratigraphic Chart 2022/02 (Cohen et al. 2013); maximum age ranges of sites/floras indicated by black bars; floristic complexes according to definitions by Mai and Walther 1991 for upper Oligocene, Mai 2000b, 2001b for Miocene; age range of MCO from Steinthorsdottir et al. 2021.

opencc-by-4.0Aug 2022View details →
zenodo40/100

Figure 5. Bayesian phylogeny, with species divergence age estimates reconstructed with BEAST using all the 26 in Complete mitochondrial genomes from museum specimens clarify millipede evolution in the Eastern Arc Mountains

Figure 5. Bayesian phylogeny, with species divergence age estimates reconstructed with BEAST using all the 26 mitochondrial genomes generated in this study. The dataset was supplemented with Thyropygus sp. and Abacion magnum as outgroups, derived from GenBank. GenBank accession numbers are provided in parentheses. Blue bars indicate the 95% highest probability density intervals for node ages. Age estimation for lineage divergence was based on a general arthropod mitochondrial DNA substitution rate and should be considered with caution. *Thyropygus sp. (red font) is very likely to be a misidentification; for more information, see the Discussion.

opencc-by-4.0Sep 2022View details →
zenodo40/100

Healthy aging for Europe's elderly

<p>Using of Duplin Core Fields (DC) in first FAIR implementation and described in the SHAPES Collaborative Governance Model D3.5 documentation</p>

opencc-by-4.0Dec 2021View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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