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12,871 results for “aging;”
Modelling human neuronal catecholaminergic pigmentation in rodents recapitulates age-related multisystem neurodegenerative deficits
<p>Raw data used to generate the figures in the paper "Modelling human brain-wide pigmentation in rodents recapitulates age-related multisystem neurodegenerative deficits" published as a bioRxiv preprint doi: https://doi.org/10.1101/2023.08.08.552400; v1 posted August 8, 2023; v2 posted August 14, 2024.</p>
Dataset for: Constraining the duration and ages of stratigraphic unconformities on Mars using exhumed craters
<h1>Dataset for: Constraining the duration and ages of stratigraphic unconformities on Mars using exhumed craters</h1> <p><strong>Annex & Lewis</strong></p> <h2><strong>Data Product Overview</strong></h2> <p>This repository contains all source data for the publication. Below is a description of each general data product type, software that can load the data, and a list of the file names along with the short description of the data product.</p> <p><strong>Perimeters.gpkg & csv</strong></p> <p>Contains the mapped linear perimeters of the layered deposits discussed in the manuscript. Geopackage files can be read using GIS software like QGIS and ArcGIS as well as the OGR/GDAL suite. CSV is also provided.</p> <p><strong>Craters.gpkg & csv</strong></p> <p>Contains the polygon geometries for the craters counted along the linear perimeters. Geopackage files can be read using GIS software like QGIS and ArcGIS as well as the OGR/GDAL suite. CSV is also provided.</p> <p><strong>environment.yml</strong></p> <p>Anaconda conda environment configuration file that can be used by users to create a functional conda environment.</p> <p><strong>requirements.txt</strong></p> <p>Python dependencies needed to run the included Jupyter Notebook for pip users.</p> <p><strong>linear_crater_counting.ipynb</strong></p> <p>Jupyter notebook file that contains the python code for the manuscript as well as the code to generate all the figures in the paper. </p> <p>The notebook can also be run via Binder at <a href="https://mybinder.org/v2/zenodo/10.5281/zenodo.8298786" target="_blank" rel="noopener">https://mybinder.org/v2/zenodo/10.5281/zenodo.8298786</a></p> <p> </p>
Mobility and persistence of pesticides and emerging contaminants in age-dated and redox-classified groundwater under a range of land use types [data set]
<p>Data set covering measured pesticides and emerging contaminants, the tritium and noble gas data and metadata for which the results are discussed in the publication in Science of the Total Environment (2024); doi: 10.1016/j.scitotenv.2024.176344</p>
Morphological heart age from CTA: Predictions, Performance and Saliency Maps
<p>This data distribution contains regression results for age prediction from computed tomography angiography images from the SCAPIS dataset, as well as proof-of-concept experiments concerning the prediction of known volumetric features estimated through segmentation of the images.</p> <p>Each sub-folder represents one experiment.</p> <p>For each experiment (sex-stratified), there is a csv file '0.csv'<br>with the following structure</p> <p>Row 1: subject id1, subject id2, subject id3, ...<br>Row 2: reference value1, reference value2, reference value3, ...<br>Row 3: predicted value1, predicted value2, predicted value3, ...</p> <p>There is also a file 'results_summary.txt' which provides a text output of the quality measures corresponding to each experiment:<br>Mean Absolute Error (MAE)<br>R^2 (R2)<br>Pearson correlation (r_p)<br>Spearman correlation (r_s)<br>Intraclass Correlation Coefficient (ICC)</p> <p>The following sub-folders/experiments contain saliency maps:<br>- main (the main experiment with PCA from the whole heart)<br>- main_linear (the main experiment without PCA from the whole heart)<br>- poc_lvv (proof-of-concept: left ventricle volume)<br>- poc_rvv (proof-of-concept: right ventricle volume)<br>- poc_lav (proof-of-concept: left atrium volume)<br>- poc_rav (proof-of-concept: right atrium volume)<br>- poc_myov (proof-of-concept: myocardium volume)<br>- poc_av (proof-of-concept: aorta volume)</p> <p>The feature subsets use the following encoding (for the feature subset experiments, the path contains the numbers representing the included features):<br>1: Median Density<br>2: Median Volume<br>3: Stddev Density<br>4: Stddev Volume</p> <p>Ethics:<br>The subjects/images are all anonymized, with a chronological age rounded to whole months.</p> <p>Ethics approval was obtained from the Swedish Ethical Review Authority (Dnr 2022-07308-01) to conduct this research study related to human subjects, with associated sex and age information. All subjects provided informed written consent for their collected data to be used for research and for that research to be published. The study adheres to the Declaration of Helsinki. SCAPIS has been approved as a multicentre trial by the ethics committee at Umea University and adheres to the Declaration of Helsinki.</p>
SQL database with detailed characteristic measurement results of photovoltaic modules that were subjected to accelerated aging sequences
<p>All measurement results are organized in an optimized database, which forms the information base for setting up models for climate sensitive ageing and degradation processes/mechanisms. The database is structured around the modules (module = device under test), see general scheme given in <a href="https://doi.org/10.1002/pip.3090">https://doi.org/10.1002/pip.3090</a>. Modules are logically connected via their specific ageing module groups with strictly associated ageing actions and instances. As stated above, a set of three identical modules is stored together in each specific ageing action (= accelerated ageing test as described in detail in Table <a title="Link to table" href="https://onlinelibrary.wiley.com/doi/10.1002/pip.3090#pip3090-tbl-0001">1</a> of <a href="https://doi.org/10.1002/pip.3090">https://doi.org/10.1002/pip.3090</a>) in order to increase the statistical reliability. Those triples are logically grouped in the database with the corresponding acquired measurement results being canonicalized and stored in the database as well. For future applications (modelling), all measurement information is kept as complete as possible; aggregation is avoided.</p> <a href="https://onlinelibrary.wiley.com/cms/asset/d5235350-b448-4094-b022-3b572d4c9317/pip3090-fig-0001-m.jpg" target="_blank" rel="noopener"></a>
Processed MERFISH datasets for brain aging (coronal, sagittal) and rejuvenation (exercise, partial reprogramming)
<p>This repository contains several AnnData ".h5ad" objects containing the processed MERFISH data and metadata for the datasets generated in our study:</p> <blockquote> <p>"aging_coronal.h5ad" - the aging coronal section dataset</p> <p>"aging_sagittal.h5ad" - the aging sagittal section dataset</p> <p>"exercise.h5ad" - exercise dataset</p> <p>"reprogramming.h5ad" - partial reprogramming dataset</p> </blockquote> <p> </p> <p>Key metadata are saved as observation annotations in each object, and include:</p> <blockquote> <p>"mouse_id" - identifier for mouse from which the cell was derived</p> <p>"slide_id" - identifier for MERSCOPE slide</p> <p>"batch" - A and B denote different experimental batches for MERFISH</p> <p>"age" - mouse age in months</p> <p>"cohort" - experimental condition / group</p> <p>"celltype" - cell type annotation</p> <p>"region" - brain region annotation</p> <p>"subregion" - brain subregion annotation (will be more variabile/noisy than region)</p> </blockquote>
Age of stratospheric air: observational data sets (v2)
<p>This dataset of mean stratospheric age of air is a compilation of data calculated from trace gas observations of CO2 and SF6 on Satellite, Aircraft and Balloon platforms.It provides 1) zonal mean monthly mean values from satellite data, 2) climatological data for different latitude bands from aircraft and balloon data, and 3) the time-series of mean age of air in the northern mid-latitude mid-stratosphere (updating Engel et al, 2009, 2017). Moreover, input data for the calculation of mean age of air from trace gases is provided (reference time series and ratio of moments). </p> <p>New in Version 2: addition of climatology from aircraft data at 20 km, binned in 5° latitude bins.</p> <p>This data set is a supplement to Garny et al, 2024: "<u>Age of stratospheric air: Progress on processes, observations and long-term trends</u>" (Review of Geophysics, accepted). See Readme for more information.</p>
Using Parkrun Age Grading as an Indicator of Adolescent Health
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The relation between deviation from the balanced time perspective and quality of life among older people. The mediating role of death anxiety and the moderating role of awareness of aging
<p><em><span>Objectives</span></em><span>. In the current study, one of the objectives was to check if the deviation from a balanced time perspective (DBTP) is a predictor of the quality of life of the elderly. Another objective investigated whether awareness of aging is a moderator and death anxiety a mediator of the relationship between PTSD and quality of life. <em>Method.</em> 436 elderly people participated in this research (M = 68.27; SD= 6.56; 66.7% female, 33.3% male). They completed 4 instruments to evaluate the variables included in the study: World Health Organization Quality of Life, Zimbardo Time Perspective Inventory - Short version, Death Anxiety Scale and Awareness of Age-Related Change 10-Item Short Form (awareness of aging). <em>Results</em>. Statistical analyzes highlighted the fact that DBTP is not a predictor of quality of life, but it can positively predict death anxiety. Also, awareness of aging does not moderate the relationship between DBTP and quality of life. Finally, death anxiety negatively predicts quality of life, but also mediates the relationship between DBTP and quality of life. <em>Discussion</em>. This study brought to the fore some concepts less addressed in the case of the elderly population in Romania, which could lead to the identification of some benefits for improving the quality of life of the elderly. Starting from the conclusions obtained, promotion and intervention plans can be developed to improve mental and physical health services. The inclusion process of the elderly in as many social activities as possible can also be considered.</span></p> <p><strong><span> </span></strong></p>
Single-cell atlas of circulating immune cells over the first two months of age in extremely premature infants
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Age-related differences in gut microbiome and fecal metabolome of captive African penguins (Spheniscus demersus)
<p><span>The code applied for the study: "Age-related differences in gut microbiome and fecal metabolome of captive African penguins (Spheniscus demersus)".</span></p>
Spatial Dissection of the Distinct Cellular Responses to Normal Aging and Alzheimer's Disease in Human Prefrontal Cortex at Single-Nucleus Resolution
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DATA GENERATED FOR MANUSCRIPT "KNOWLEDGE, ATTITUDES, EATING PRACTICES, AND IRON (FE) CONSUMPTION AMONG ADOLESCENT GIRLS (AGED 10-18 YEARS) IN CENTRAL JAVA, INDONESIA"
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Data for: Epigenetic Age and Long-Term Cancer Risk Following a Stroke
<p><strong>Data for Manuscript: "Epigenetic Age and Long-Term Cancer Risk Following a Stroke"</strong></p> <p>In this study, we investigated whether stroke patients who later developed cancer exhibited an accelerated epigenetic age compared to those who did not. A total of 648 stroke patients were followed for 15 years, during which 83 individuals were diagnosed with cancer. Biological age (B-age) was estimated from DNA methylation data derived from whole blood samples collected within 24 hours of stroke onset. These samples were analyzed using the 450K or EPIC Illumina Beadchip arrays. We employed several epigenetic clocks to calculate B-age, including the Hannum, Horvath, PhenoAge, ZhangBLUP, ZhangEN, and the mitotic epiTOC clocks.</p> <p>After adjusting for multiple testing, competing risks, and key confounders, we found that patients who developed cancer were biologically older, as measured by the Hannum clock.</p> <p>This repository provides the associated phenotypic data, estimated white cell counts and B-age estimations, including both raw data and age acceleration values.</p>
Data from: Performance and agreement of risk stratification instruments for postoperative delirium in persons aged 50 years or older
Several risk stratification instruments for postoperative delirium in older people have been developed because early interventions may prevent delirium. We investigated the performance and agreement of nine commonly used risk stratification instruments in an independent validation cohort of consecutive elective and emergency surgical patients aged ≥50 years with ≥1 risk factor for postoperative delirium. Data was collected prospectively. Delirium was diagnosed according to DSM-IV-TR criteria. The observed incidence of postoperative delirium was calculated per risk score per risk stratification instrument. In addition, the risk stratification instruments were compared in terms of area under the receiver operating characteristic (ROC) curve (AUC), and positive and negative predictive value. Finally, the positive agreement between the risk stratification instruments was calculated. When data required for an exact implementation of the original risk stratification instruments was not available, we used alternative data that was comparable. The study population included 292 patients: 60% men; mean age (SD), 66 (8) years; 90% elective surgery. The incidence of postoperative delirium was 9%. The maximum observed incidence per risk score was 50% (95%CI, 15–85%); for eight risk stratification instruments, the maximum observed incidence per risk score was ≤25%. The AUC (95%CI) for the risk stratification instruments varied between 0.50 (0.36–0.64) and 0.66 (0.48–0.83). No AUC was statistically significant from 0.50 (p≥0.11). Positive predictive values of the risk stratification instruments varied between 0–25%, negative predictive values between 89–95%. Positive agreement varied between 0–66%. No risk stratification instrument showed clearly superior performance. In conclusion, in this independent validation cohort, the performance and agreement of commonly used risk stratification instruments for postoperative delirium was poor. Although some caution is needed because the risk stratification instruments were not implemented exactly as described in the original studies, we think that their usefulness in clinical practice can be questioned.
Data from: Increased male bias in eider ducks can be explained by sex-specific survival of prime-age breeders
In contrast to theoretical predictions of even adult sex ratios, males are dominating in many bird populations. Such bias among adults may be critical to population growth and viability. Nevertheless, demographic mechanisms for biased adult sex ratios are still poorly understood. Here, we examined potential demographic mechanisms for the recent dramatic shift from a slight female bias among adult eider ducks (Somateria mollissima) to a male bias (about 65% males) in the Baltic Sea, where the species is currently declining. We analysed a nine-year dataset on offspring sex ratio at hatching based on molecularly sexed ducklings of individually known mothers. Moreover, using demographic data from long-term individual-based capture-recapture records, we investigated how sex-specific survival at different ages after fledgling can modify the adult sex ratio. More specifically, we constructed a stochastic two-sex matrix population model and simulated scenarios of different survival probabilities for males and females. We found that sex ratio at hatching was slightly female-biased (52.8%) and therefore unlikely to explain the observed male bias among adult birds. Our stochastic simulations with higher survival for males than for females revealed that despite a slight female bias at hatching, study populations shifted to a male-biased adult sex ratio (> 60% males) in a few decades. This shift that was driven by prime reproductive-age individuals (≥5-year-old), with sex-specific survival of younger age classes playing a minor role. Hence, different age classes contributed disproportionally to population dynamics. We argue that an alternative explanation for the observed male dominance among adults - sex-biased dispersal - can be considered redundant and is unlikely, given the ecology of the species. The present study highlights the importance of considering population structure and age-specific vital rates when assessing population dynamics and management targets.
Data from: A significant component of ageing (DNA damage) is reflected in fading breeding colors: an experimental test using innate antioxidant mimetics in painted dragon lizards
A decade ahead of their time, von Schantz and coworkers united sexual selection and free radical biology by identifying causal links between deep-rooted physiological processes that dictate resistance to toxic waste from oxidative metabolism (reactive oxygen species), and phenotypic traits, such as ornaments. Ten years later, these ideas have still only been tested with indirect estimates of free radical levels (oxidative stress) subsequent to the action of innate and dietary antioxidants. Here we measure net superoxide (a selection pressure for antioxidant production) and experimentally manipulate superoxide antioxidation using a synthetic mimetic of superoxide dismutase, Eukarion 134 (EUK). We then measure the toxic effect of superoxide in terms of DNA erosion and concomitant loss of male breeding coloration in the lizard, Ctenophorus pictus. Control males suffered more DNA damage than EUK-males. Spectroradiometry showed that male coloration is lost in relation to superoxide and covaries with DNA erosion; in control males these variables explained 72 % of color loss, whereas in EUK males, the fading of coloration was unaffected by superoxide and unrelated to DNA damage. Thus, EUK's powerful antioxidation removes the erosion effect of superoxide on coloration and experimentally verifies the prediction that colors reflect innate capacity for antioxidation.
Data from: Can clone size serve as a proxy for clone age? An exploration using microsatellite divergence in Populus tremuloides
In long-lived clonal plant species, the overall size of a clone has previously been used to estimate clone age. The size of a clone, however, might be largely determined by physical or biotic interactions, obscuring the relationship between clone size and age. Here, we use the accumulation of mutations at 14 microsatellite loci to estimate clone age in trembling aspen, Populus tremuloides, from southwestern Canada. We show that the observed patterns of genetic divergence are consistent with a model of clonal growth, allowing us to use pairwise genetic divergence as an estimator of clone age. In the populations studied, clone size did not exhibit a significant relationship with microsatellite divergence, indicating that clone size is not a good proxy for clone age.
Data from: General perceptual-cognitive abilities: age and position in soccer
Various studies suggest the importance of sport-specific cognitive and perceptual abilities in soccer. However, the role of general perceptual-cognitive abilities and the relation of age respective to position have not been clarified for soccer in detail. Therefore, it was the objective of the present study to determine the relation of age and position to general perceptual-cognitive abilities. 178 highly talented male soccer players (mean age 16.2, age range 10 to 33 years) were involved. The participants performed computer-based sustained attention and anticipation (using Vienna Test System) tests. 139 subjects (mean age 16.6) took part in visual and acoustic reaction tests (using Talent Diagnostic System). The soccer players, subdivided into age and position groups, were recruited from a youth academy of a professional soccer club and played at the highest and 2nd highest national soccer competition for their age. Group differences were tested using analysis of variance. Correlations were analyzed for age and abilities. Significant correlations and group differences were found for age and sustained attention tasks. Significant differences for position groups were observed with regard to acoustic reaction time (ART). Further, we found statistical tendencies for group differences regarding the visual reaction time (VRT), indicating that midfielders outperform defenders and strikers in simple reaction tasks. Improved skills in sustained attention tasks resulted for defenders, who worked faster and more precisely in figural tasks. Regarding general anticipation tasks differences were not found. No group differences were found in basic anticipation tasks. Our study indicates that additional research is needed to further clarify the development of general perceptual-cognitive abilities and position-specific differences in the above abilities of highly talented soccer players.
Data from: Effectiveness of complementary food supplement and dietary counseling on anemia and stunting in children aged 6-23 months in poor areas in Qinghai Province, China: a controlled interventional study
Objective: To assess the effectiveness of dietary counseling and complementary food supplements on anemia and stunting prevalence in children aged 6-23 months. Design: A controlled intervention study with measurements of height and hemoglobin levels, and cross-sectional surveys in August 2012 (baseline) and 2013 and 2014 (end-line). Setting: One intervention and control county in rural Qinghai Province, China. Intervention: Complementary food supplements (containing protein, fat, carbohydrate, vitamin A, B1, B2, B12, D3, folic acid, iron, zinc, and calcium) and complementary feeding counseling were given in the intervention county. Participants: Caregivers and their children aged 6-23 months. Primary and secondary outcomes measures: The effect of the interventions on anemia (hemoglobin< 110g/L) and stunting (z-score of height-for-age< -2.0) prevalence(controlled for differences between the counties), and infant feeding practices. Results: The surveys were conducted among 1804, 2187, and 2186 child aged 6-23 months in the intervention county in August 2012, 2013 and 2014 respectively, and 804, 680 and 790 children in the control county respectively. Between baseline and end-line, anemia prevalence decreased more in the intervention county compared to the control county (71.1% to 47.8% vs 86.3% to 75.3%, respectively; P<0.0001). There was no difference in the decrease in stunting prevalence between the counties (9.7% to 7.1% vs 17.0% to 15.0%; P=0.7954). The proportions of children given iron-rich or -fortified food, introduced (semi-) solid food at 6-8 months, and given food with minimum dietary diversity increased from 43.2% to 88.8% (P<0.0001), 81.4% to 96% (P=0.0470), and 53.0% to 59.8% (P<0.0001), respectively. Conclusions: We found much higher anemia prevalence in poor rural areas of Qinghai Province compared to national data. Community-based complementary food supplements combined with dietary counseling can improve feeding practices and reduce anemia prevalence. Future studies should use longer follow-up to assess the effects on stunting.
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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.