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7,742 results for “individuals”
Recent HIV infections among newly diagnosed individuals living with HIV in rural Lesotho: Secondary data from the VIBRA cluster-randomized trial
<p>These are pseudo-anonymised data from a secondary analysis of the VIBRA randomised trial.</p> <p>HIV recency assays are used to distinguish recently acquired infection from long-term infection among individuals newly diagnosed with HIV. Since 2015, the World Health Organisation recommends the use of an algorithm to assess recency of infections which is based on an HIV recency assay and viral load (VL) quantification. We determined the proportion of recent HIV infections among participants of the VIBRA (Village-Based Refill of Antiretroviral therapy) cluster-randomized trial in Lesotho and assessed risk factors for these recent infections.</p> <p>The VIBRA trial recruited individuals living with HIV and not taking antiretroviral therapy during a door-to-door HIV testing campaign in two rural districts (Butha-Buthe and Mokhotlong). Samples were collected from participants newly diagnosed and tested for HIV recency using the Asanté HIV-1 Rapid Recency Assay and VL using the Roche Cobas System. Clinical and socio-demographic data were extracted from the trial database. Univariate analysis was conducted to determine factors associated with recent compared to long-term infection.</p> <p>There is one dataset containing all data presented in this dtuy. The data codebook explains the data available in the dataset.</p>
Individual-level trait diversity predicts phytoplankton community properties better than species richness or evenness
<p>This archive includes the final summary tables used for the analyses.</p>
Validation of transpulmonary thermodilution variables in hemodynamically stable patients with heart diseases - Individual patient data
<p>This dataset contains individual subject data for hemodynamic measurements assessed in the present study.</p>
Raw DNA sequence data of an individual known as "whitequark" (part 1)
<p>Whole genome sequenced on NovaSeq 6000, paired-end 2x150bp with 350bp insert. 30-40× coverage.</p> <p>This dataset can be used by anyone, with attribution.</p>
Supplementary Data: Kapitza thermal resistance across individual grain boundaries in graphene
<p>The data here are the numerical bi-crystalline graphene samples used in Ref. [1].</p> <p>There are 13 folders named "1", "2", ..., "13". Each folder contains a file named "xyz.in". They are in the format of the "xyz.in" file used in the GPUMD package [2]. From folder "1" to "13", the tilt angle increases monotonically. See Table 1 of Ref. [1] for the values of the tilt angles.</p> <p>[1] Khatereh Azizi, Petri Hirvonen, Zheyong Fan, Ari Harju, Ken R Elder, Tapio Ala-Nissila, and S Mehdi Vaez Allaei,<br> Kapitza thermal resistance across individual grain boundaries in graphene,<br> Carbon 125, 384 (2017).<br> https://doi.org/10.1016/j.carbon.2017.09.059<br> https://arxiv.org/abs/1709.09529</p> <p>[2] Zheyong Fan, GPUMD,<br> https://github.com/brucefan1983/GPUMD<br> http://doi.org/10.5281/zenodo.995667</p> <p> </p>
MobileWell100+: A Multivariate Longitudinal Mobile Dataset for Investigating Individual and Collective Well-Being
<p>This study engaged 103 participants over a period spanning from November 14 to December 16, 2021, ensuring representation across various demographic factors: 51 females, 52 males, aged 18-70, with varied annual incomes and from 17 Spanish regions. The MobileWell100+ dataset, openly accessible, encompasses a wide array of data collected via the participants' mobile phone, including demographic details, COVID-19-related inquiries, emotional, behavioral, and well-being data. Complementing this, social welfare data from external sources offers contextual insight. Methodologically, the project presents a promising avenue for uncovering new social, behavioral, and emotional indicators, supplementing existing literature. Notably, artificial intelligence is considered to be instrumental in analysing these data, discerning patterns, and forecasting trends, thereby advancing our comprehension of individual and population well-being. Ethical standards were upheld, with participants providing informed consent. </p> <p>The following is a non-exhaustive list of collected data:</p> <ul> <li>Data continuously collected through the participants' smartphone sensors: physical activity (resting, walking, driving, cycling, etc.), name of detected WiFi networks, connectivity type (WiFi, mobile, none), ambient light, ambient noise, and status of the device screen (on, off, unlocked).</li> <li>Data corresponding to an initial survey prompted via the smartphone, with information related to demographic data, symptoms and COVID vaccination, average hours of physical activity, and answers to a series of questions to measure mental health, many of them taken from internationally recognised psychological and well-being scales (PANAS, PHQ, GAD, BRS and AAQ).</li> <li>Data corresponding to daily surveys prompted via the smartphone, where variables related to mood (valence, activation, energy and emotional events) are measured.</li> <li>Data corresponding to weekly surveys prompted via the smartphone, where information on work situation, symptoms and COVID vaccination, hours of physical activity per week, questions related to physical and mental health, etc. is requested.</li> </ul> <p>For a more detailed description of the study please refer to <strong>MobileWell100+StudyDescription.pdf</strong>.</p> <p>For a more detailed description of the collected data, variables and data files please refer to <strong>MobileWell100+FilesDescription.pdf</strong>. </p>
The expressivity of rare coding variants for blood lipids in over a million individuals
<p>The supplemental data and codes for Koyama et al. "The expressivity of rare coding variants for blood lipids in over a million individuals"</p>
Intestinal Blastocystis is linked to healthier diets and more favorable cardiometabolic outcomes in 56,989 individuals from 32 countries
Open the record for dataset details and reuse information.
Supplemental Figures - Detection of SARS-CoV-2-Specific Secretory IgA and Neutralizing Antibodies in the Nasal Secretions of Exposed Seronegative Individuals
<p>Figure S1: Flow diagram of exposed seronegative cohort.</p> <p>Figure S2: SARS-CoV-2-specific neutralization activity at Days 1 and 8 relative to enrollment in exposed seronegative nasal SIgA positive and infected participants. NPS SARS-CoV-2-specific neutralization activity is shown for exposed seronegative and infected participants with normalized OD490 at Day 1 and Day 8, respectively. Sample sizes (N) are indicated in parentheses. Wilcoxon signed-rank tests were used to determine if the median SARS-CoV-2 nasal SIgA neutralization activity differed significantly. A two-tailed p < 0.05 was considered significant.</p>
MobileWell400+: A Large-Scale Multivariate Longitudinal Mobile Dataset for Investigating Individual and Collective Well-Being
<p>This study engaged 409 participants over a period spanning from July 10 to August 8, 2023, ensuring representation across various demographic factors: 221 females, 186 males, 2 non-binary, year of birth between 1951 and 2005, with varied annual incomes and from 15 Spanish regions. The MobileWell400+ dataset, openly accessible, encompasses a wide array of data collected via the participants' mobile phone, including demographic, emotional, social, behavioral, and well-being data. Methodologically, the project presents a promising avenue for uncovering new social, behavioral, and emotional indicators, supplementing existing literature. Notably, artificial intelligence is considered to be instrumental in analysing these data, discerning patterns, and forecasting trends, thereby advancing our comprehension of individual and population well-being. Ethical standards were upheld, with participants providing informed consent. </p> <p>The following is a non-exhaustive list of collected data:</p> <ul> <li>Data continuously collected through the participants' smartphone sensors: physical activity (resting, walking, driving, cycling, etc.), name of detected WiFi networks, connectivity type (WiFi, mobile, none), ambient light, ambient noise, and status of the device screen (on, off, locked, unlocked).</li> <li>Data corresponding to an initial survey prompted via the smartphone, with information related to demographic data, effects and COVID vaccination, average hours of physical activity, and answers to a series of questions to measure mental health, many of them taken from internationally recognised psychological and well-being scales (PANAS, PHQ, GAD, BRS and AAQ), social isolation (TILS) and economic inequality perception.</li> <li>Data corresponding to daily surveys prompted via the smartphone, where variables related to mood (valence, activation, energy and emotional events) and social interaction (quantity and quality) are measured.</li> <li>Data corresponding to weekly surveys prompted via the smartphone, where information on overall health, hours of physical activity per week, lonileness, and questions related to well-being are asked.</li> <li>Data corresponding to an final survey prompted via the smartphone, consisting of similar questions to the ones asked in the initial survey, namely psychological and well-being items (PANAS, PHQ, GAD, BRS and AAQ), social isolation (TILS) and economic inequality perception questions.</li> </ul> <p>For a more detailed description of the study please refer to <strong>MobileWell400+StudyDescription.pdf</strong>.</p> <p>For a more detailed description of the collected data, variables and data files please refer to <strong>MobileWell400+FilesDescription.pdf</strong>. </p>
Houbara time budgets according to individual and season
<p>Understanding the behaviours and time budgets of translocated animals post-release has the potential to improve rearing and release protocols, and therefore survival rate. <em>Otididae</em> (bustards) inhabit open landscapes across the Middle East and Asia, are highly mobile on the ground and have similar lifestyles and body plans. The Asian Houbara (<em>Chlamydotis macqueenii</em>) is a bustard of conservation concern inhabiting the middle East to Central Asia and is frequently reared in captivity for population management. We deployed tri-axial accelerometers on 20 captive Asian Houbaras in two seasons to catalogue basic behaviours, provide a template applicable to other bustard species and examine seasonal differences in behaviour. We created Boolean algorithms to define the following behaviours using raw acceleration data and derived metrics: stationary, locomotion and eating/drinking. We used video recordings to cross-validate the algorithms, yielding recalls from 95% to 97%, and precisions between 97% and 98%. Houbaras spent significantly more time 'stationary' and less time on 'locomotion' in Summer (June) compared to Spring (March). Simple Boolean algorithms proved useful in identifying several behaviours and have the potential to be applicable to other bustard species, in captivity and in the wild post-release.</p>
Improved HbA1c and body weight in GADA-positive individuals treated with tirzepatide: A post hoc analysis of SURPASS
<p>Supplemental appendix of Peters. et al. Improved HbA1c and body weight in GADA-positive individuals treated with tirzepatide: A post hoc analysis of SURPASS. JCEM 2024.</p>
Selection favors high spread and asymmetry of flower opening dates within plant individuals
<p>Natural selection on traits expressed repeatedly by individuals is usually investigated with a focus on mean values, although within-individual trait distributions often differ also in other aspects, such as their spread and shape. In plants producing multiple flowers during a season, there might not be a single optimal flowering time, but rather an optimal distribution of flower opening dates. This optimal distribution might depend on both resource allocation patterns and interactions with the abiotic and biotic environment.</p> <p>In this study, we quantified mean, variance, skewness and kurtosis of 495 individual flowering schedules (5287 flowers) over three years, and assessed phenotypic selection on these aspects of the within-individual distribution of opening dates in the perennial herb <em>Lathyrus vernus</em>. We also explored how selection on within-individual variation in flowering schedules was related to effects on two fitness components: fruit set and the proportion of seeds escaping pre-dispersal predation.</p> <p>Within-individual variation in phenology was larger than, or at least similar to, among-individual variation in all years. We found phenotypic selection on several aspects of individual flowering schedules. In one year, selection favoured plants with higher variance in opening dates, and this coincided with a higher fruit set in plants with an increased spread of the flowering schedule. In two of the study years, selection favoured a higher asymmetry of the flowering schedule, and plants with more right-skewed distributions had higher fruit set and higher proportions of seeds escaping predation. Both fruit set and seed predation increased with an earlier mean flowering, resulting in no net selection on mean flowering date.</p> <p><em>Synthesis</em>. Our results suggest that phenotypic selection on the spread and shape of flower opening date distributions might be at least as important as selection on the mean flowering date. In a broad sense, this implies that we should consider the entire trait distribution if we aim to understand the evolution of traits that are expressed multiple times within individuals.</p>
Convolution of individual and group identity: self-reliance increases polarisation in basic opinion model
<p>Data for the manuscript</p> <p><strong>Convolution of individual and group identity: self-reliance increases polarisation in basic opinion model</strong></p> <p><strong>Quante, L.*, Stechemesser A.*, Hödtke, D. and Levermann, A. </strong></p> <p><strong>*These authors contributed equally.</strong></p> <p><strong><em>Humanit Soc Sci Commun</em> 11, 838 (2024)</strong></p> <p><a href="https://doi.org/10.1057/s41599-024-03359-w" target="_blank" rel="noopener"><strong><span>https://doi.org/10.1057/s41599-024-03359-w</span></strong></a></p> <p>Reproduction of data and figures is described in the corresponding github repository <br><a href="https://github.com/lquante/social_agent_based_modelling/tree/bf33be685547db739387a41820e8b3b7ea16cf26" target="_blank" rel="noopener">https://github.com/lquante/social_agent_based_modelling/tree/bf33be685547db739387a41820e8b3b7ea16cf26</a>.</p>
Fig. 4 - Individuals 01-08 in Depigmented phenotypes inside a Salamandrina perspicillata population of the Campagna Romana (Latium, Italy)
Fig. 4 - Individuals 01-08: ventral view.
Fig. 3 - Individuals 01-08 in Depigmented phenotypes inside a Salamandrina perspicillata population of the Campagna Romana (Latium, Italy)
Fig. 3 - Individuals 01-08: dorsal view.
Linking individual and species-level leaf traits with ontogenetic development stage to explain tree performance under competition and environmental contexts
<p><span>To verify how species traits and individual traits link ontogenetic size, external biotic and abiotic factors to influence tree performance. In a temperate natural forest in northeastern China, we measured dynamic performance, size, as well as competition, topography, and soil variables as biotic and abiotic variables for all 1320 trees of 17 species in 62 monitoring plots from 2010-2020. For each individual tree, we also measured five typical functional traits representing leaf size and elemental content: leaf area, specific leaf area, leaf dry matter content, leaf nitrogen content, and leaf carbon : nitrogen ratios. These traits are not only strongly associated with performance, but trade-offs between traits have previously been shown to express plant acquisitive-conservative strategy characteristics. Reconceptualized based on previous understanding of trait-based approach (Fig. 1). We first tested the direct explanatory effects of species traits and individual traits on performance in multifactorial contexts.</span> <span>We first tested the direct explanatory effects of species traits and individual traits on performance in multifactorial contexts. Subsequently, we analyzed the moderating and mediating effects of these two levels of traits in explaining ontogenetic size, external competition, and environmental influences on performance. The following three questions were posed in response to the results:</span></p> <p><em><span>QI: Do species and individual traits differ in directly explaining performance in a multifactor context that includes ontogenetic size, external biotic and abiotic factors?</span></em></p> <p><em><span>QII: How species and individual traits explain the effect of ontogenetic size on performance</span> </em><em><span>by moderating and mediating effects.</span></em></p> <p><em><span>QIII: Can traits at the species and individual level influence competition- and environment-performance relationships</span> </em><em><span>through trait-based approaches? Does ontogenetic size work jointly with traits at different levels in this process?</span></em></p>
Enhancing High-Resolution Forest Stand Mean Height Mapping in China through an Individual Tree-Based Approach with Close-Range LiDAR Data
<p><span>We</span> have developed a tree-based approach to create spatially continuous forest stand mean height maps across China through integrating high-<span>point</span> density, high-precision close-range LiDAR data and multisource remote sensing data. The accuracy analysis of the arithmetic mean height (Ha) and the weighted mean height (Hw) demonstrates the feasibility of the proposed method. A practical framework for forestry investigation based on close-range LiDAR was proposed. The mean values of Ha and Hw are 13.3 ± 3.3 m 11.3 ± 2.9 m on pixel level, respectively. Validation based on LiDAR and field sample data shows that the RMSE values, range from 2.6 to 4.1 m for Ha and 2.9 to 4.3 m for Hw, respectively, indicating that our approach outperforms existing forest canopy height maps derived from area-based approaches. Hopefully, our methods and maps will serve as a foundation for estimating carbon storage, monitoring changes in forest structure, managing forest inventory, and assessing wildlife habitat availability. </p>
Data from: Individual differences in sociocognitive traits in semi-free-ranging rhesus monkeys (Macaca mulatta)
<p>Characterizing individual differences in cognition is crucial for understanding the evolution of cognition as well as to test the biological consequences of different cognitive traits. Here, we harnessed the strengths of a uniquely large, naturally-living primate population at the Cayo Santiago Biological Field Station to characterized individual differences in rhesus monkey performance across two social cognitive tasks. A total of <em>n</em> = 204 semi-free-ranging adult rhesus monkeys participated in a data collection procedure, where we aimed to test individuals on both tasks at two time-points that were one year apart. In the <em>socioemotional responses task,</em> we assessed monkeys' attention to conspecific photographs with neutral versus negative emotional expressions. We found that monkeys showed overall declines in interest in conspecific photographs with age, but relative increases in attention to threat stimuli specifically, and further that these responses exhibited long-term stability across repeated testing. In the <em>gaze following task</em> we assessed monkeys' propensity to co-orient with an experimenter. Here, we found no evidence for age-related change in responses, and responses showed only limited repeatability over time. Finally, we found some evidence for common individual variation for performance across the tasks: monkeys that showed greater interest in conspecific photographs were more likely to follow a human's gaze. These results show how studies of comparative cognitive development and aging can provide insights into the evolution of cognition, and identify core primate social cognitive traits that may be related across and within individuals.</p>
Downscaling mutualistic networks from species to individuals reveals consistent interaction niches and roles within plant populations.
<p>Repository containing dataset and code for the manuscript entitled <em>Downscaling mutualistic networks from species to individuals reveals consistent interaction niches and roles within plant populations</em>.</p> <p>For this study, we compiled 46 empirical individual-based networks on plant-animal seed dispersal mutualism, encompassing 1037 plant individuals across 29 species from various regions. We compare the structure of individual-based networks to that of species-based networks and by extending the niche concept to interaction assemblages, we explore levels of individual plant specialization. We examine how individual variation influences network structure and how plant individuals "explore" the interaction niche of the population.</p> <p>Please refer to <strong>makefile.R</strong> for project outline, explanation and codes used, and to the <strong>README</strong> in networks folder for data structure and compilation.</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.