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Fig. 11 in Magneto-biostratigraphic age constraints on the palaeoenvironmental evolution of the South Caspian basin during the Early-Middle Pleistocene (Kura basin, Azerbaijan)
Fig. 11. Equal area plots, Zijderveld diagrams and thermomagnetic curves for samples of the Hajigabul section. Equal are plots for: B. The low temperature component (20 oC-300 o C, LT_N): in situ and in tectonic coordinates (tc); E. All normal ChRM directions - in situ and in tectonic coordinates (tc); F. All reversed ChRM directions - in situ and in tectonic coordinates (tc); G. All mean directions for all reversed (MT_R and HT_R), all normal (HT_N and MT_N) and LT_N groups; L. Remagnetized samples marked as "Full overprint" (FO) - in situ and in tectonic coordinates (tc); A, C, H- Characteristic Zijderveld diagrams for various samples. D, M - thermomagnetic runs for various samples; Zijderveld diagrams with separate (H) and overlapped (I) demagnetization of two components. J - Zijderveld diagram given for one sample measured with different techniques: th - thermally demagnetized, af - demagnetized in alternating field.
Fig. 6 in Magneto-biostratigraphic age constraints on the palaeoenvironmental evolution of the South Caspian basin during the Early-Middle Pleistocene (Kura basin, Azerbaijan)
Fig. 6. Equal area plots, Zijderveld diagrams and thermomagnetic curves for samples from the Goychay section. Equal area plots for: B. The low temperature component (20 o C-300 o C, LT_N): all LT_N direction in situ and in tectonic coordinates; C. Isolated group of LT_N directions; E. The medium temperature component with reversed directions (330 o C-400 oC, MT_R), in situ and in tectonic coordinates (tc); I. High temperature component (440 o C-580 o C (670 oC), HT_R) with reversed directions, in situ and in tectonic coordinates (tc); J. High temperaturecomponent (440 o C-580 o C (670 oC), HT_N) with normal directions, in situ and in tectonic coordinates (tc); N. All reversed direction (MT_R and HT_R) in tectonic coordinates; O. All mean directions for all reversed (MT_R and HT_R), LT_N and HT_N groups; A, D, G and H - characteristic Zijderveld diagrams; F, K, L and M - characteristic thermomagnetic runs for various samples.
Fig. 5. Selected gastropods from the Goychay section. A in Magneto-biostratigraphic age constraints on the palaeoenvironmental evolution of the South Caspian basin during the Early-Middle Pleistocene (Kura basin, Azerbaijan)
Fig. 5. Selected gastropods from the Goychay section. A. Theodoxus pallasi; B. Theodoxus pallasi; C. Laevicaspia sp. D. Laevicaspia subcaspia; E. Caspia apsheronica; F. Caspia sp.; G. Clessiniola cf. subvariabilis; H. Ecrobia cf. grimmi; I. Laevicaspia subcaspia; J. Melanopsis bergeroni; K. Lymnaea sp.; L. Turricaspia sp.; M. Laevicaspia sp.; N. Streptocerella sp.; O. Gyraulus sp.; P. Valvata sp. (Scale bars 1 mm).
Fig. 4 in Magneto-biostratigraphic age constraints on the palaeoenvironmental evolution of the South Caspian basin during the Early-Middle Pleistocene (Kura basin, Azerbaijan)
Fig. 4. Selected bivalve species and charophyta from the Goychay section: A. Dreissena carinatocurva; B. Dreissena rostriformis; C. Dreissena polymorpha; D. Pseudocatillus sp.; E. Didacnomya sp.; F. Apscheronia propinqua; G. Corbicula fluminea (paired bivalve); H. Corbicula fluminea; I. Monodacna sp. 1; J. Monodacna sp. 1; K. Adacna sp; L. Oogonium of charophyta. (Scale bars 1 mm).
Fig. 10. Middle Pleistocene Didacna species from the Hajigabul section. Scale bar 5 in Magneto-biostratigraphic age constraints on the palaeoenvironmental evolution of the South Caspian basin during the Early-Middle Pleistocene (Kura basin, Azerbaijan)
Fig. 10. Middle Pleistocene Didacna species from the Hajigabul section. Scale bar 5 mm. A-B. Didacna bergi (1954 m, early Khazarian); C-G. D. parvula (1795 m, Late Bakunian); H-I. D. cf carditoides (1795 m, Late Bakunian); J-K. Didacna sp (1795 m, Late Bakunian).
Fig. 9 in Magneto-biostratigraphic age constraints on the palaeoenvironmental evolution of the South Caspian basin during the Early-Middle Pleistocene (Kura basin, Azerbaijan)
Fig. 9. Mollusc fauna from the Akchagylian clay interval in the Hajigabul section. Scale bar 5 mm. (a). Cardiidae sp. A. (428 m); (b-d). Cardiidae sp. B. (395 m); (e-g). Cardiidae sp. (395 m); (h, i). Avicardium nikitini (395 m); ((i) is a reconstruction); (j) Pirenella caspia (288 m).
Disease Spread in Age Structured Populations with Maternal Age Effects
<p>Fundamental ecological processes, such as extrinsic mortality, determine population age structure. This influences disease spread when individuals of different ages differ in susceptibility or when maternal age determines offspring susceptibility. We show that Daphnia magna offspring born to young mothers are more susceptible than those born to older mothers, and consider this alongside previous observations that susceptibility declines with age in this system. We used a susceptible- infected compartmental model to investigate how age-specific susceptibility and maternal age effects on offspring susceptibility interact with demographic factors affecting disease spread. Our results show a scenario where an increase in extrinsic mortality drives an increase in transmission potential. Thus, we identify a realistic context in which age effects and maternal effects produce conditions favouring disease transmission. </p> <p>epi model R script.R</p> <p>This is the script for the SIR model as well as the associated script for life history data. </p> <p>main.body size.csv</p> <p>This is the data for the body size data collected in the main experiment. This was measured using imageJ, was recorded in pixels and converted into millimetres. </p> <p>main.exposed.csv</p> <p>This is the proportion of infected/not infected individuals from an exposed treatment group. This was a subset of individuals from the entire experiment. This was the result of the exposures from the main experiment. </p> <p>main.reproduction.csv</p> <p>This document records reproduction for individuals from old or young mothers. It is a count of the offspring born at each reproductive event, which occurs generally every three days, though variation in interclutch interval increases with age. This was from the main experiment. Only those who were unexposed to the parasite, where used for this portion of the experimental work. </p> <p>sm.body size.csv</p> <p>This records body size similarly to above, and was an independent replication of the main experiment. </p> <p>sm.infection status.csv</p> <p>This is infection outcomes of exposures carried out as above, in an independent replication of the main experiment. </p> <p>sm.total babies.csv</p> <p>This is the reproductive output, carried out similarly to above, but in an independent replication of the main experiment. </p>
Large-aperture Experiment to Detect the Dark Ages -- February 2016
<p>Initial data release of LEDA characterization data from February 2016 testing campaign. Please see manuscript, "Design and Characterization of a Radiometric Receiver for the Large-Aperture Experiment to Detect the Dark Ages (LEDA)", D. C. Price et. al.</p>
Dataset of the scientific paper "A Comparative Analysis of 2D and 3D Tasks for Virtual Reality Therapies Based on Robotic-Assisted Neurorehabilitation for Post-stroke Patients" (Front. Aging Neurosci.)
<p> There are three files with the following information:<br> - data_2d.bin, binary file with information of the different parameters of the nine subjects during 2d tasks<br> - data_3d.bin, binary file with information of the different parameters of the nine subjects during 3d tasks<br> - survey.bin, binary file with the score of the System Usability Scale (SUS) survey of each subject</p>
Data from Dowiasch et al. (2015) Effects of aging on eye movements in the real world
<p>The effects of aging on eye movements are well studied in the laboratory. Increased saccade latencies or decreased smooth-pursuit gain are well established findings. The question remains whether these findings are influenced by the rather untypical environment of a laboratory; that is, whether or not they transfer to the real world. We measured 34 healthy participants between the age of 25 and 85 during two everyday tasks in the real world: (I) walking down a hallway with free gaze, (II) visual tracking of an earth-fixed object while walking straight-ahead. Eye movements were recorded with a mobile light-weight eye tracker, the EyeSeeCam (ESC). We find that age significantly influences saccade parameters. With increasing age, saccade frequency, amplitude, peak velocity, and mean velocity are reduced and the velocity/amplitude distribution as well as the velocity profile become less skewed. In contrast to laboratory results on smooth pursuit, we did not find a significant effect of age on tracking eye-movements in the real world. Taken together, age-related eye-movement changes as measured in the laboratory only partly resemble those in the real world. It is well-conceivable that in the real world additional sensory cues, such as head-movement or vestibular signals, may partially compensate for age-related effects, which, according to this view, would be specific to early motion processing. In any case, our results highlight the importance of validity for natural situations when studying the impact of aging on real-life performance.</p>
Data and script for: A marker of biological age explains individual variation in the strength of the adult stress response
<p>Data and script for: A marker of biological age explains individual variation in the strength of the adult stress response.</p> <p>Comprises 2 CSV data files and one R script.</p>
A JWST inventory of protoplanetary disk ices. The edge-on protoplanetary disk HH 48 NE, seen with the Ice Age ERS program
<p>JWST NIRSpec G395H spectrum for HH 48 NE edge-on disk, as analyzed in Sturm et al. (2023). DOI: 10.1051/0004-6361/202347512</p>
Human pan-body age- and sex-specific molecular phenomena inferred from public transcriptome data using machine learning - Data
<p>Expression data used in manuscript <i>Human pan-body age- and sex-specific molecular phenomena inferred from public transcriptome data using machine learning</i></p>
Paternal environment effects are driven by female reproductive fluid but not sperm age in an external fertiliser
<p>Sperm ageing after ejaculation can generate paternal environmental effects that impact offspring fitness. In many species, female reproductive fluids (FRFs), i.e. ancillary fluids released by eggs or within the female reproductive tract, may protect sperm from ageing and can additionally interact with sperm to influence offspring viability. This raises the intriguing prospect that FRFs may alleviate paternal effects associated with sperm ageing. Here, we test this novel hypothesis using the broadcast spawning mussel, <em>Mytilus galloprovincialis.</em> We show that incubating sperm in FRF prior to fertilisation increases offspring viability and that these effects occur independently of sperm age. Our results provide novel evidence that FRFs allow females to selectively bias fertilisation toward higher quality sperm within an ejaculate, which in turn yields more viable offspring. We consider this FRF-mediated paternal effect in the context of female physiological control over fertilisation and the transgenerational effects of female-regulated haploid selection.</p>
Figure 2 in Cicada minimum age tree: Cryptic speciation and exponentially increasing base substitution rates in recent geologic time
Figure 2. Cicada timetree built by BEAST v1.X, applying 1,534 bp COI sequence. OUTs with isolate number: our own analyzed specimens shown in Table 1, and others: from GenBank/DDJB. In outgroup Hemiptera; #: analyzed family by Johnson et al. (2018); % analyzed family by Misof et al. (2014). Inserted figure: Base substitution rate (= rate median shown at each node; substitutions per site per million year; s/s/myr) vs age (= posterior age shown at each node) diagram. Red approximate curve with its formula was drawn by Excel function, with the intersection for the curve = 0.0128 s/s/myr, the rate median shown on Tracer.
Figure 4 in Cicada minimum age tree: Cryptic speciation and exponentially increasing base substitution rates in recent geologic time
Figure 4. Number of base changes of transition and tansversion vs corrected pairwide distance diagram for whole mitochondrial gene.
Figure 1 in Cicada minimum age tree: Cryptic speciation and exponentially increasing base substitution rates in recent geologic time
Figure 1. Simplified cicada timetree built by BEAST v1.X, applying a 1,534 bp in maximum COI sequence. Inserted figure: Base substitution rate (= ratemedian shown at each node; substitutions per siteper millionyear; s/s/ myr) vsage (= posterior age shown at each node) diagram. Red approximate curve with its formula was drawn by an Excel function, with the intersection for the curve = 0.0128 s/s/myr, the rate median shown on Tracer.
Figure 3 in Cicada minimum age tree: Cryptic speciation and exponentially increasing base substitution rates in recent geologic time
Figure 3. Cicada timetree built by BEAST v1.X, applying 1,534 bp COI and 874 bp 18S rRNA sequences. OUTswith isolate number: our own analyzed specimens shown in Table 1, and others: from GenBank/DDJB. In outgroup Hemiptera; #: analyzed family by Johnson et al. (2018); % analyzed family by Misof et al. (2014). Inserted figure: Base substitution rate (= rate median shown at each node; substitutions per site per million year; s/s/myr) vs age (= posterior age shown at each node) diagram. Red approximatecurve with its formulawas drawn by Excel function, with the intersection for the curve = 0.0114 s/s/myr, the rate median shown on Tracer. Note that this rate is a little slower than thatsolely of COI in Figures 1 and 2, reflecting slowerrate of 18S rRNAthan COI (see Osozawa et al. 2017a).
Age-adjusted Covid-19 mortality rates for Brazilian municipalities
<p>This dataset present Covid-19 crude and age-adjusted mortality rates for Brazilian municipalities from 2020 to 2022 per epidemiological week, on 100,000 inhabitants base. </p><p>The mortality data source is the "Sistema de Informações de Mortalidade -- SIM", available at https://opendatasus.saude.gov.br/dataset/sim .</p><p>The population reference is the Brazilian age-structure at 2020.</p><p>Notebook with method and code: https://rfsaldanha.github.io/posts/std_br_covid_rates.html</p>
Data from: Non-invasive age estimation based on fecal DNA using methylation-sensitive high-resolution melting for Indo-Pacific bottlenose dolphins
<p class="MsoNormal"><span>Age is necessary information for the study of life history of wild animals. A general method to estimate the age of odontocetes is counting dental growth layer groups (GLGs). However, this method is highly invasive as it requires the capture and handling of individuals to collect their teeth.</span><span> Recently, the development of DNA-based age </span><span>estimation methods has been actively studied as an alternative to such invasive methods, of which many have used biopsy samples. However, if DNA-based age estimation can be developed from fecal samples, age estimation can be performed without touching or disrupting individuals, thus establishing an entirely non-invasive method. </span><span>We developed an age estimation model using the methylation rate of two gene regions, <em>GRIA2</em> and <em>CDKN2A,</em> measured through methylation-sensitive high-resolution melting (MS-HRM) from fecal samples of wild Indo-Pacific bottlenose dolphins (<em>Tursiops aduncus</em>). The age of individuals was known through conducting longitudinal individual identification surveys underwater. Methylation rates were quantified from 36 samples. Both gene regions showed a significant correlation between age and methylation rate. The age estimation model was constructed based on the methylation rates of both genes which achieved sufficient accuracy (after LOOCV: MAE = 5.08, <em>R<sup>2</sup></em> = 0.34) for the ecological studies of the Indo-Pacific bottlenose dolphins, with a lifespan of 40-50 years. This is the first study to report the use of non-invasive fecal samples to estimate the age of marine mammals.</span></p>
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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.
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.