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7,742 results for “individuals”
Individual .ttl files for plate VGF153 samples v1.0.1
Individual .ttl files for plate VGF153 samples processed using the ENPKG framework
Individual .ttl files for plate VGF140 samples v1.0.1
Individual .ttl files for plate VGF140 samples processed using the ENPKG framework
Individual .ttl files for plate VGF152 samples v1.0.1
Individual .ttl files for plate VGF152 samples processed using the ENPKG framework
Individual .ttl files for plate VGF142 samples v1.0.1
Individual .ttl files for plate VGF142 samples processed using the ENPKG framework
Individual .ttl files for plate VGF145 samples v1.0.1
Individual .ttl files for plate VGF145 samples processed using the ENPKG framework
Individual .ttl files for plate VGF144 samples v1.0.1
Individual .ttl files for plate VGF144 samples processed using the ENPKG framework
Individual .ttl files for plate VGF141 samples v1.0.1
Individual .ttl files for plate VGF141 samples processed using the ENPKG framework
Individual .ttl files for plate VGF150 samples v1.0.1
Individual .ttl files for plate VGF150 samples processed using the ENPKG framework
Individual .ttl files for plate VGF139 samples v1.0.1
Individual .ttl files for plate VGF139 samples processed using the ENPKG framework
Individual .ttl files for plate VGF143 samples v1.0.1
Individual .ttl files for plate VGF143 samples processed using the ENPKG framework
Individual .ttl files for plate VGF151 samples v1.0.1
Individual .ttl files for plate VGF151 samples processed using the ENPKG framework
Individual .ttl files for plate VGF146 samples v1.0.1
Individual .ttl files for plate VGF146 samples processed using the ENPKG framework
Data from: Foraging history of individual elephants using DNA metabarcoding
<p>Individual animals should adjust diets according to food availability. We used DNA metabarcoding to construct individual-level dietary timeseries for elephants from two family groups in Kenya varying in habitat use, social position, and reproductive status. We detected at least 367 dietary plant taxa, with up to 137 unique plant sequences in one fecal sample. Results matched well-established trends: elephants tended to eat more grass when it rained and other plants when dry. Nested within these switches from 'grazing' to 'browsing' strategies, dietary DNA revealed seasonal shifts in food richness, composition, and overlap between individuals. Elephants of both families converged on relatively cohesive diets in dry seasons but varied in their maintenance of cohesion during wet seasons. Dietary cohesion throughout the timeseries of the subdominant 'Artists' family was stronger and more consistently positive compared to the dominant 'Royals' family. The greater degree of individuality within the dominant family's timeseries could reflect more divergent nutritional requirements associated with calf-dependency and/or priority access to preferred habitats. Whereas theory predicts that individuals should specialize on different foods under resource scarcity, our data suggest family bonds may promote cohesion and foster the emergence of diverse feeding cultures reflecting links between social behavior and nutrition.</p>
Data and code for: Optimal clutch size revisited: separating individual quality from the costs of reproduction
<p>Life-history theory, central to our understanding of diversity in morphology, behaviour and senescence, describes how traits evolve through the optimisation of trade-offs in investment. Despite considerable study, there is only minimal support for trade-offs within species between the two traits most closely linked to fitness – reproduction and survival – questioning the theory's general validity. We used a meta-analysis to separate quality effects from the costs of reproduction using studies of parental investment and survival in birds. Experimental enlargement of broods caused reduced parental survival. However, the effect of experimental enlargements was small and opposite to the effect of phenotypic quality, where individuals that naturally produced larger clutches also survived better. The opposite effects on survival in experimental and observational studies of parental care provide the first meta-analytic evidence for theory suggesting that quality differences mask trade-offs. Fitness projections using the overall effect size revealed that reproduction presented negligible costs, except when reproductive effort was forced beyond the level observed within species, to that seen between species. We conclude that there is little support for the most fundamental life-history trade-off, between reproduction and longevity, operating within a population. We suggest that within species, the fitness landscape of the reproduction–survival trade-off is flat until it reaches the boundaries of the between-species fast-slow life-history continuum. Our interpretation explains why the costs of reproduction are not apparent and why variation in reproductive output persists within species.</p>
Possible niche compression and individual specialization in Pacific Arctic beluga (Delphinapterus leucas) from the 19th to 20th century
<p><span>Cetaceans have shown potential to be used as sentinel species for tracking environmental change in marine ecosystems, yet our assessment of change is typically limited to recent decades and lacks ecological baselines. Using historical museum specimens, we compared community niche metrics and degree of individual dietary specialization in groups of Pacific Arctic beluga (<em>Delphinapterus</em> <em>leucas</em>) from the 1800s (n = 5) to 1900s (n = 10) using stable carbon and nitrogen isotopes drilled from teeth. Beluga occupied a broader trophic niche and demonstrated a higher degree of individual specialization in the 1800s than in the 1900s. The cause of this shift is difficult to confirm given long timescales and constraints of specimen-based research but could indicate changes in the prey base or competition. The scale and nature of this detected shift provide perspective for continued research on these climate-vulnerable species.</span></p>
Individual aerosol particle data from Villum research station and Zeppelin Observatory
<p>The Excel sheets include individual aerosol particle composition data measured using a scanning transmission electron microscope with an energy-dispersive X-ray spectrometer (STEM-EDS). The samples were collected from Villum research station (VRS), Greenland, and Zeppelin Observatory (ZO), Svalbard. The data are used in a paper by Adachi et al. submitted to Atmospheric Environment (Composition and mixing state of individual aerosol particles from northeast Greenland and Svalbard in the Arctic during spring 2018).</p>
Individual multilocus genotypes of F1 seed progeny and recruits from two translocated populations of Campanula glomerata
<p>Individual multilocus genotypes for 15 microsatellite loci and spatial coordinates of F1 seed progeny and recruits from two translocated populations of <em>Campanula glomerata </em>from southern Belgium. For more information, see Van Rossum et al.(2023), Assessing spatial mating patterns in translocated populations of <em>Campanula glomerata, </em>in <em>Gobal Ecology and Conservation.</em></p> <p> </p> <p> </p>
Data from: Brain criticality predicts individual levels of inter-areal synchronization in human electrophysiological data
<p><span>Neuronal oscillations and their synchronization between brain areas are fundamental for healthy brain function</span><span>. Yet, synchronization levels exhibit large inter-individual variability that is associated with behavioral variability. We test whether individual synchronization levels are predicted by individual brain states along an extended regime of critical-like dynamics – the Griffiths phase (GP). We use computational modelling to assess how synchronization is dependent on brain criticality indexed by long-range temporal correlations (LRTCs). We analyze LRTCs and synchronization of oscillations from resting-state magnetoencephalography and stereo-electroencephalography data. Synchronization and LRTCs are both positively linearly and quadratically correlated among healthy subjects, while in epileptogenic areas they are</span><span> neg</span><span>atively linearly correlated. These results show that variability in synchronization levels is explained by the individual position along the GP with healthy brain areas operating in its subcritical and epileptogenic areas in its supercritical side. We suggest that the GP is fundamental for brain function allowing individual variability while retaining functional advantages of criticality.</span></p>
Data from: African elephant dietary responses to odors of monoterpene mixtures and individual monoterpenes
<p>The detoxification limitation hypothesis posits that, unless plant defense compounds interact synergistically or additively to increase their harmful effects, generalist herbivores will prefer consuming combinations of these compounds over singular compounds. Monoterpenes are odoriferous defense compounds that may be toxic to mammalian herbivores when ingested in sufficient quantities. Previous research has shown that the addition of individual monoterpenes to food sources reduces consumption by generalist mammalian herbivores. By using African elephants as a case study, we aimed to determine whether odors from monoterpene combinations (i.e., two or more monoterpenes) also deter generalist mammalian herbivory, and whether generalist herbivores prefer the odors of monoterpene combinations over individual monoterpenes. First, we tested whether the odor of monoterpene combinations that resemble the monoterpene profiles of a high-acceptability, intermediate-acceptability, and low-acceptability plant deter herbivory. We found that elephants preferred plants without the added odors of the monoterpene combinations. Second, we explored how elephants responded to individual monoterpenes found within the combinations compared to the combinations at the same set concentration, and found that the elephants did not always prefer the combinations over the individual monoterpenes. Moreover, the more diverse the combination, the less frequently it was preferred when compared to the individual monoterpene odors. Our results imply that generalist herbivores do not necessarily prefer combinations of plant chemical defenses at comparatively lower concentrations and that, consequently, the composition and diversity of monoterpene profiles in plants likely determine the efficacy of these compounds as an olfactory defense against mammalian herbivory.</p>
MD-Vibe Dataset: Footstep-Induced Floor Vibration Data for Functional Gait Assessment of Individuals with Muscular Dystrophy
<p>The purpose of this dataset is to evaluate the performance of floor vibration sensing in tracking the progression of muscular dystrophy through individuals’ gait patterns. We recruited human subjects (N=36) and conducted experiments at Stanford University and Nationwide Children's Hospital in Columbus, Ohio, with healthy human subjects (N=21) and children with MD (N=15).</p> <p> </p> <p>The experiments consist of two phases - Phase 1 is a pilot study to test the feasibility of floor vibration sensing in capturing gait characteristics in lab settings; Phase 2 has two hospital studies to evaluate our sensing method in real life. This dataset consists of floor vibration data (vertical velocity of floor vibration) induced by 9 healthy subjects’ footsteps from these two phases, named <strong>lab data.zip</strong>, <strong>hospital data 1.zip</strong>, and <strong>hospital data 2.zip</strong>, respectively. The complete dataset requires a data-sharing agreement with Nationwide Children's Hospital.</p> <p> </p> <p>The custom coding scripts (in MATLAB and Python) to process the data are included in the <strong>code.zip</strong> file, which includes 3 processing steps: 1) Preprocessing and Footstep Detection, 2) Feature Extraction, and 3) Model Prediction, the scripts of each step are grouped into a folder with their corresponding names. Detailed function descriptions are included in the scripts.</p> <p> </p> <p>The footstep-induced structural vibration data is stored as both raw data and as individual footsteps. The raw data files start with “raw_”, each consisting of a series of consecutive footsteps (see the sample plot). The individual footstep data files start with “detected_steps_”, each consisting of one single footstep detected from the raw data. The dataset is stored in MAT file format that can be accessed through MATLAB.</p> <p> </p> <p>The sensing unit consists of 5 components: 1) the geophone (SM-24), 2) the amplification module, 3) the processor board, 4) the data acquisition module (NI-Daq), and 5) the power cables. The sensing unit converts the structural vibration velocity into voltage records. The sampling frequency is 500 Hz for the lab study and 25600 Hz for the hospital studies.</p> <p> </p> <p>The experiment setup, sample data plot, and code usage can be found in <strong>Dataset Description.pdf</strong>. For more details about the hospital studies, please refer to the MD-Vibe paper at the following link: <a href="https://doi.org/10.1145/3410530.3414610">https://doi.org/10.1145/3410530.3414610</a></p> <p> </p> <p>Please cite this dataset as:</p> <p>Yiwen Dong, Megan Iammarino, Jingxiao Liu, Jesse Codling, Jonathon Fagert, Mostafa Mirshekari, Linda Lowes, Pei Zhang, and Hae Young Noh. 2023. The MD-Vibe Dataset: Footstep-Induced Floor Vibration Data for Functional Gait Assessment of Individuals with Muscular Dystrophy. Zenodo, DOI: <a href="https://doi.org/10.5281/zenodo.8125704">https://doi.org/10.5281/zenodo.8125744</a></p> <p> </p> <p>Yiwen Dong, Joanna Jiaqi Zou, Jingxiao Liu, Jonathon Fagert, Mostafa Mirshekari, Linda Lowes, Megan Iammarino, Pei Zhang, and Hae Young Noh. 2020. MD-Vibe: physics-informed analysis of patient-induced structural vibration data for monitoring gait health in individuals with muscular dystrophy. In Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers (UbiComp-ISWC '20). Association for Computing Machinery, New York, NY, USA, 525–531. <a href="https://doi.org/10.1145/3410530.3414610">https://doi.org/10.1145/3410530.3414610</a></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.