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944 results for “Human population”
Human head models and populational framework for simulating brain stimulations: part 2
<p>We share an organized computational model data collection for noninvasive brain stimulation (NIBS) modeling. This dataset includes a subset of the collection's 100 preprocessed, quality-assured, realistic head models based on imaging data from the Human Connectome Project (HCP) s1200 release (Van Essen et al., 2012). We provide verified finite-element meshes, underlying anatomical images, tissue segmentations, standard space co-registrations, quality metrics, and lead-field matrices. We suggest individual tissue conductivity values for each head model from a range of biologically plausible values (McCann et al., 2019). Additionally, we provide straightforward computer code for several use cases of the current dataset. </p> <p><strong> </strong></p> <ol> <li> <p>McCann, H., Pisano, G., & Beltrachini, L. (2019). Variation in Reported Human Head Tissue Electrical Conductivity Values. Brain Topography, 32(5), 825–858. <a href="https://doi.org/10.1007/s10548-019-00710-2">https://doi.org/10.1007/s10548-019-00710-2</a></p> </li> <li> <p>Van Essen, D. C., Ugurbil, K., Auerbach, E., Barch, D., Behrens, T. E. J., Bucholz, R., Chang, A., Chen, L., Corbetta, M., Curtiss, S. W., Della Penna, S., Feinberg, D., Glasser, M. F., Harel, N., Heath, A. C., Larson-Prior, L., Marcus, D., Michalareas, G., Moeller, S., … WU-Minn HCP Consortium. (2012). The Human Connectome Project: A data acquisition perspective. NeuroImage, 62(4), 2222–2231. https://doi.org/10.1016/j.neuroimage.2012.02.018</p> </li> </ol> <p> </p> <p>This dataset is split into 6 parts, you are currently on part 2. All parts are linked below:</p> <p>Dataset_1: <a href="../records/13259679">https://zenodo.org/records/13259679</a></p> <p>Dataset_2: <a href="../records/13259747">https://zenodo.org/records/13259747</a></p> <p>Dataset_3: <a href="../records/13259943">https://zenodo.org/records/13259943</a></p> <p>Dataset_4: <a href="../records/13260068">https://zenodo.org/records/13260068</a></p> <p>Dataset_5: <a href="../records/13259599">https://zenodo.org/records/13259599</a></p> <p>Dataset_6: <a href="../records/13260208">https://zenodo.org/records/13260208</a></p>
Human head models and populational framework for simulating brain stimulations: part 1
<p>We share an organized computational model data collection for noninvasive brain stimulation (NIBS) modeling. This dataset includes a subset of the collection's 100 preprocessed, quality-assured, realistic head models based on imaging data from the Human Connectome Project (HCP) s1200 release (Van Essen et al., 2012). We provide verified finite-element meshes, underlying anatomical images, tissue segmentations, standard space co-registrations, quality metrics, and lead-field matrices. We suggest individual tissue conductivity values for each head model from a range of biologically plausible values (McCann et al., 2019). Additionally, we provide straightforward computer code for several use cases of the current dataset. </p> <p><strong> </strong></p> <ol> <li> <p>McCann, H., Pisano, G., & Beltrachini, L. (2019). Variation in Reported Human Head Tissue Electrical Conductivity Values. Brain Topography, 32(5), 825–858. <a href="https://doi.org/10.1007/s10548-019-00710-2">https://doi.org/10.1007/s10548-019-00710-2</a></p> </li> <li> <p>Van Essen, D. C., Ugurbil, K., Auerbach, E., Barch, D., Behrens, T. E. J., Bucholz, R., Chang, A., Chen, L., Corbetta, M., Curtiss, S. W., Della Penna, S., Feinberg, D., Glasser, M. F., Harel, N., Heath, A. C., Larson-Prior, L., Marcus, D., Michalareas, G., Moeller, S., … WU-Minn HCP Consortium. (2012). The Human Connectome Project: A data acquisition perspective. NeuroImage, 62(4), 2222–2231. https://doi.org/10.1016/j.neuroimage.2012.02.018</p> </li> </ol> <p> </p> <p>This dataset is split into 6 parts, you are currently on part 1. All parts are linked below:</p> <p>Dataset_1: <a href="../records/13259679">https://zenodo.org/records/13259679</a></p> <p>Dataset_2: <a href="../records/13259747">https://zenodo.org/records/13259747</a></p> <p>Dataset_3: <a href="../records/13259943">https://zenodo.org/records/13259943</a></p> <p>Dataset_4: <a href="../records/13260068">https://zenodo.org/records/13260068</a></p> <p>Dataset_5: <a href="../records/13259599">https://zenodo.org/records/13259599</a></p> <p>Dataset_6: <a href="../records/13260208">https://zenodo.org/records/13260208</a></p> <p> </p>
Trypanosoma cruzi in Mexican Neotropical vectors and mammals: Wildlife, livestock, pets, and human population
<p><span>The aim of the present study has been to provide primary evidence of <em>Trypanosoma cruzi</em> landscape genetics in the Mexican Neotropics.</span><span> <em>T. cruzi</em> and DTU prevalence were analyzed in landscape communities of vectors, wildlife, livestock, pets, and sympatric human populations using endpoint PCR and sequencing of all relevant amplicons from mitochondrial (kDNA) and nuclear (ME, 18S, 24Sα) gene markers. Although 98% of the infected sample set (N=2963) contained single or mixed infections of DTUI (TcI, 96.2%) and TcVI (22.6%), TcIV and TcII were identified. The sensitivity of individual markers varied and was dependent on the host taxon; kDNA, ME, and 18S combined identified 95% of infections. ME genotyped 90% of vector infections, but 60% of mammals (36% wildlife), while neither 18S nor 24Sα typed more than 20% of mammal infections. Available gene fragments to identify or genotype <em>T. cruzi</em> are not universally sensitive for all landscape parasite populations, highlighting important <em>T. cruzi</em> heterogeneity among mammal reservoir taxa and triatomine species.</span></p>
Source Data: No evidence for a common blood microbiome based on a population study of 9,770 healthy humans
<p>Source data for manuscript titled: 'No evidence for a common blood microbiome based on a population study of 9,770 healthy humans' (https://www.biorxiv.org/content/10.1101/2022.07.29.502098v1)</p>
Landscape of Mast cell populations across organs in mice and humans
<p><span>Mast cells (MCs) are tissue-resident immune cells which exhibit homeostatic and neuron-associated functions. Here we combined whole-tissue imaging and single-cell RNA sequencing datasets to generate a pan-organ analysis of MCs in mice and humans at steady state. In mice, we identify two mutually exclusive MC populations, MrgprB2<sup>+</sup> connective tissue-type MCs and MrgprB2<sup>neg</sup> mucosal-type MCs, with specific transcriptomic core signatures. While MrgprB2<sup>+</sup> MCs develop<em> in-utero</em> independently of the bone marrow, MrgprB2<sup>neg</sup> MCs develop after birth and are renewed by bone marrow progenitors. In humans, we unbiasedly identify 7 MC subsets (MC1 to 7) distributed across 12 organs with different transcriptomic core signatures. MC1 are preferentially enriched in the bladder, MC2 in the lungs, and MC4, MC6 and MC7 in the skin. Conversely, MC3 and MC5 are shared by most organs, but not skin. This comprehensive analysis offers valuable insights into the natural diversity of MC subtypes in both mice and humans.</span></p>
The effects of human population density on trophic interactions are contingent upon latitude
<p><em>Aim: </em>Studies conducted at a global scale are necessary to make general conclusions on the effect of urbanization on trophic interactions and explore how these effects change along latitudinal gradients. Since biotic interactions are more intense at lower latitudes, we predict they are less likely to be affected by human impacts than at higher latitudes. Therefore, we test the hypothesis that the effect of urbanization (quantified by human population density) on trophic interactions, specifically insect herbivory and bird predation, decreases with an increase in latitude</p> <p><em>Location: </em>Global (881 study sties)</p> <p><em>Time period</em>: 2000-2021</p> <p><em>Major taxa studied:</em> Birds, arthropods and plants.</p> <p><em>Methods:</em> We compiled global data on insect herbivory and bird predation from individual studies using similar methodologies, and fitted generalized linear mixed models to test the effect of human population density, latitude and their interaction on these two response variables.</p> <p><em>Results: </em>The intensity of herbivory and predation decreased with the increase of human population density at lower latitudes, remained unaffected at intermediate latitudes, and increased at higher latitudes.</p> <p><em>Main conclusions: </em>The effect of urbanization on the intensities of trophic interactions varies across latitudes, with a reversal of the pattern at high vs. low latitudes potentially explained by the urban heat island effect, being this pattern consistent across the two main trophic interaction.</p>
Supplement: In situ spatial reconstruction of distinct normal and pathological cell populations within the human adrenal gland
<p>Supplemental legends, figure, and table for In situ spatial reconstruction of distinct normal and pathological cell populations within the human adrenal gland.</p>
Efficacy and Safety Evaluation of Recombinant Human Growth Hormone (r-hGH), Saizen®, on a Population of Children With Hypochondroplasia, Treated at Least 3 Years or Until Near Final Height, When Appli
ClinicalTrials.gov study NCT01111019. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Naltrexone for Opioid Dependent Released Human Immunodeficiency Virus Positive (HIV+) Criminal Justice Populations
ClinicalTrials.gov study NCT01246401. IPD Sharing: YES. Countries: 1. Publications: 5.
More people, more cats, more parasites: Human population density and temperature variation predict the prevalence of Toxoplasma gondii oocyst shedding in free-ranging domestic and wild felids
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Increasing rat numbers in cities are linked to climate warming, urbanization and human population
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Data from: Bird species’ tolerance to human pressures and associations with population change
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Data from: Population and community consequences of perceived risk from humans in wildlife
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Data from: Genetic analysis of red deer (Cervus elaphus) administrative management units in a human-dominated landscape - patterns of genetic diversity, population structure and gene flow
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Eat or be eaten: Implications of potential exploitative competition between wolves and humans across predator- savvy and -naive deer populations
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Data from: Human−geographic effects on variations in the population genetics of Sinotaia quadrata (Gastropoda: Viviparidae) that historically migrated from continental East Asia to Japan
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Replication data for: Demographic declines and responses of breeding bird populations to human footprint in the Athabasca Oil Sands Region, Alberta, Canada
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Trypanosoma cruzi in Mexican Neotropical vectors and mammals: Wildlife, livestock, pets, and human population
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Mammal population densities at a global scale are higher in human-modified areas
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Data from: High-resolution analysis of red deer (<em>Cervus elaphus</em>) management units in a Central European region of high human population density reveals severe effects on genetic diversity and differentiation
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ScienceDex guides
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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.