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Dataset results
203 results for “longitudinal data”
Pergola: boosting visualization and analysis of longitudinal data by unlocking genomic analysis tools - C. elegans unc-16 and N2 motion behavior dataset
<p>Dataset contains <em>Caenorhabditis</em> <em>elegans </em>motor behaviors originally used in this publication <a href="https://www.nature.com/articles/nmeth.2560">10.1038/nmeth.2560</a> and downloaded from the available <a href="http://wormbehavior.mrc-lmb.cam.ac.uk/">DB</a> which points to Zenodo. The dataset consists in two worm strains, 20 individuals from a mutant unc-16 strain with reduced mobility and 40 individuals from a control N2 strain. The behavioral measures derived from each individual worm trajectory were available in a HDF5-formatted file (Hierarchical Data Format Version 5) that has been included in this dataset.</p> <p>The data set consist in:</p> <p>- a "mappings" folder containing all the mappings used by the pergola in the pipeline to convert data.</p> <p>- a "N2" folder containing the 40 HDF5 files with the measures derived from the N2 worms.</p> <p>- a "N2" folder containing the 20 HDF5 files with the measures derived from the unc-16 worms.</p>
Leveraging patients' longitudinal data to improve the Hospital One-year Mortality Risk
<p><strong>Paper Title: </strong>Leveraging patients' longitudinal data to improve the Hospital One-year Mortality Risk</p> <p><strong>Paper: </strong><a href="https://doi.org/10.1007/s13755-024-00332-4">https://doi.org/10.1007/s13755-024-00332-4</a> (<span>full-text view-only version: <a title="URL d'origine : https://rdcu.be/eccmN. Cliquez ou appuyez si vous faites confiance à ce lien." href="https://can01.safelinks.protection.outlook.com/?url=https%3A%2F%2Frdcu.be%2FeccmN&data=05%7C02%7Chakima.laribi%40usherbrooke.ca%7C23870f4657634d7a102908dd5b986df8%7C3a5a8744593545f99423b32c3a5de082%7C0%7C0%7C638767432425362186%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=d9ieen5mU9pPFXGv8hJNF%2Bf5UlJNyhjDuk%2F8MWEKo28%3D&reserved=0" target="_blank" rel="noopener noreferrer">https://rdcu.be/eccmN</a></span>)</p> <p><strong>GitHub Link: </strong><a href="https://github.com/MEDomics-UdeS/POYM" target="_blank" rel="noopener">https://github.com/MEDomics-UdeS/POYM </a></p> <p><strong>Description:</strong></p> <p>This dataset accompanies <a href="https://doi.org/10.1007/s13755-024-00332-4" target="_blank" rel="noopener">Laribi et al. (2024)</a> and contains synthetic data generated using the <a href="https://doi.org/10.1038/s41746-023-00771-5" target="_blank" rel="noopener">AVATAR method</a> in partnership with <a href="https://www.octopize.io/" target="_blank" rel="noopener">Octopize</a>.</p> <p><strong>Files:</strong></p> <ul> <li><strong>dataset.csv:</strong> This file contains 248,485 rows and 247 columns, representing 248,485 synthetic visits from 123,646 synthetic patients. Detailed descriptions of each column can be found in <a href="https://doi.org/10.1007/s13755-024-00332-4" target="_blank" rel="noopener">Laribi et al. (2024)</a>. To preserve patient's privacy, we did not save admission and discharge dates. Consequently, it is not possible to split the dataset temporally as done with the original dataset or to identify admissions with same-day discharge.</li> </ul> <p><strong>Comparison of synthetic and original data: </strong><a href="https://doi.org/10.21203/rs.3.rs-5363467/v1">https://doi.org/10.21203/rs.3.rs-5363467/v1</a></p> <p> </p>
Supporting data and code for: Longitudinal Study on Shiga Toxin–producing Escherichia coli and Campylobacter jejuni on Finnish Dairy Farms and in Raw Milk
<p>Supporting data and code for the article: "Longitudinal Study on Shiga Toxin–producing <em>Escherichia coli</em> and <em>Campylobacter jejuni</em> on Finnish Dairy Farms and in Raw Milk".</p>
Fully synthetic longitudinal real-world data from hearing aid wearers for public health policy modeling
<p>Real-world data from hearing aids and Bluetooth connected smartphones. The associated data report can be found here: <a href="https://doi.org/10.3389/fnins.2019.00850">https://doi.org/10.3389/fnins.2019.00850</a></p>
data set related to article A Nervous System-Specific Model of Creatine Transporter Deficiency Recapitulates the Cognitive Endophenotype of the Disease: a Longitudinal Study
<p>This record contains raw data related to article A Nervous System-Specific Model of Creatine Transporter Deficiency Recapitulates the Cognitive Endophenotype of the Disease: a Longitudinal Study</p>
Scripts for post-processing Delft3d output data and figures for manuscript 'Longitudinal scour-bar pattern in estuaries'
<p>The 7z file contains two folders, one named 'mat' contains the matlab scripts for post-processing Delft3D output data and plotting, the other named 'Figures' contains main outputs for the manuscript 'Longitudinal scour-bar pattern in estuaries'. </p>
Data for "From Langmuir Turbulence to Supercells: the Role of Longitudinal Alignment between Surface and Bottom Forcing"
<p>The files here contains the data shown in the article. The main part of data can be find in v4. v5 include a new result of conditional averaged turbulent kinetic energy.</p>
Supplemental data for: Longitudinal, multi-platform metagenomics yields a high-quality genomic catalog and guides an in vitro model for cheese communities
<p><span>Microbiomes are intricately intertwined with human health, geochemical cycles, and food production. While many microbiomes of interest are highly complex and experimentally intractable, cheese rind microbiomes have proven powerful model systems for the study of microbial interactions. To provide a more comprehensive view of the genomic potential and temporal dynamics of cheese rind communities, we combine longitudinal, multi-platform metagenomics of three ripening washed-rind cheeses with whole genome sequencing of community isolates. Sequencing-based approaches revealed a highly reproducible microbial succession in each cheese, co-existence of closely related <em>Psychrobacter</em> species, and enabled the prediction of plasmid and phage diversity and their host associations. Combined with culture-based approaches, we established a genomic catalog and a paired 16-member in vitro washed rind cheese system. The combination of multi-platform metagenomic time-series data and an <em>in vitro</em> model provides a rich resource for further investigation of cheese rind microbiomes both computationally and experimentally. </span></p>
Insulin-sensitive Obesity: Lessons From Longitudinal Data
ClinicalTrials.gov study NCT02017210. IPD Sharing: NO. Countries: 1. Publications: 4.
Fruit-feeding butterfly populations respond to variation in adult food availability: evidence from longitudinal body mass and abundance data
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Data from: A longitudinal assessment of the antibody response to SARS-CoV-2 infection in the New Mexican population
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Supplemental data for: Longitudinal, multi-platform metagenomics yields a high-quality genomic catalog and guides an in vitro model for cheese communities
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Data from: Host immunity, nutrition and coinfection alter longitudinal infection patterns of schistosomes in a free ranging African buffalo population
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Bone structural data for the Denver Longitudinal Growth Study
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Data from: The subcortical basis of outcome and cognitive impairment in TBI: a longitudinal cohort study
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Data from: physiological and emotional assessment of college students using wearable and mobile devices during the 2020 COVID-19 lockdown: an intensive, longitudinal dataset
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data set related to article Linking Sleep to Externalizing Behavioral Difficulties: A Longitudinal Psychometric Survey in a Cohort of Italian School-Age Children
<pre>This record contains raw data related to article Linking Sleep to Externalizing Behavioral Difficulties: A Longitudinal Psychometric Survey in a Cohort of Italian School-Age Children</pre>
Data from: A novel longitudinal framework aimed at improving the teaching of the neurological examination
Objective: To develop an educational framework basis for improving the teaching of the neurological examination (NE) by asking German neurologists to (i) identify the basic elements of the screening NE, and (ii) nominate the steps they would deem mandatory for medical students to master. Methods: We conducted a questionnaire-based survey among neurologists working in a hospital or ambulatory setting in southwest Germany. To define the screening NE, neurologists were asked to list the NE components they normally use in clinical encounters with patients in whom neurological findings are unlikely. Furthermore, they were asked to identify additional elements of the NE which they would consider mandatory for students to master. Results: Our neurologists nominated a set of 23 elements as being essential for a screening NE. There was high consensus amongst the two groups and the results were concordant with international data. Furthermore, nearly 60 additional maneuvers of the NE were deemed obligatory for students to master. Conclusion: Our results reinforce the international consensus for screening NE components, and confirm a large set of additional examination steps that medical students should master, thereby indicating the need for an educational NE teaching concept. To solve this educational challenge, we propose a longitudinal curriculum that incorporates the "core + clusters" framework, thus combining the screening NE (core) with hypothesis-driven sets of maneuvers (clusters). Based on our data, we provide an initial proposal for the core and neurological diagnostic clusters which is applicable to both novice as well as advanced learners across the continuum of training.
Data from: Seascape genomics reveals adaptive divergence in a connected and commercially important mollusc, the greenlip abalone (Haliotis laevigata), along a longitudinal environmental gradient
Populations of broadcast spawning marine organisms often have large sizes and are exposed to reduced genetic drift. Under such scenarios, strong selection associated with spatial environmental heterogeneity is expected to drive localized adaptive divergence, even in the face of connectivity. We tested this hypothesis using a seascape genomics approach in the commercially important greenlip abalone (Haliotis laevigata). We assessed how its population structure has been influenced by environmental heterogeneity along a zonal coastal boundary in southern Australia linked by strong oceanographic connectivity. Our datasets include 9,109 filtered SNPs for 371 abalones from 13 localities and environmental mapping across ~800 km. Genotype-environment association analyses and outlier tests defined 8,786 putatively neutral and 323 candidate adaptive loci. From a neutral perspective, the species is better represented by a metapopulation with very low differentiation (global FST=0.0081) and weak isolation by distance following a stepping stone model. For the candidate adaptive loci, however, model-based and model-free approaches indicated five divergent population clusters. After controlling for spatial distance, the distribution of putatively adaptive variation was strongly correlated to selection linked to minimum sea surface temperature and oxygen concentration. Around 80 candidates were annotated to genes with functions related to high temperature and/or low oxygen tolerance, including genes that influence the resilience of abalone species found in other biogeographic regions. Our study includes a documented example about the uptake of genomic information in fisheries management and supports the hypothesis of adaptive divergence due to coastal environmental heterogeneity in a connected metapopulation of a broadcast spawner.
Data from: A longitudinal study of age-related changes in Haemoproteus infection in a passerine bird
Blood parasites such as malaria and related haemosporidians commonly infect vertebrate species including birds. Understanding age-specific patterns of parasite infections is crucial for quantifying the fitness consequences of parasitism for hosts and for understanding parasite transmission dynamics. We analyzed longitudinal and cross-sectional infection data in house martins Delichon urbica, a migratory bird suffering from intense haemosporidian infection. We separated within- from among-individual effects of age on prevalence. Our results showed that the probability of blood parasite infection increased as individual house martins aged. We also showed that the prevalence of infection decreased with age at last reproduction when controlling for age, showing a selective disappearance of infected birds from the population (i.e. selection). The estimated effect of age on prevalence was underestimated two- to three-fold if not accounting for such selection. This study highlights the importance of taking among-individual heterogeneity in the capacity to fight a disease into account because such heterogeneity can mask age-related patterns of infection. These findings emphasize the relevance of considering within- and among-individual patterns of infection in order to understand parasite-induced mortality and the potential for parasite transmission.
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.