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171 results for “environmental association”
Flexibility in Red Sea Tridacna maxima-Symbiodiniaceae associations supports environmental niche adaptation datasets
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Associations between socio-environmental factors and landscape-scale biodiversity recovery in naturally regenerating tropical and subtropical forests
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Data from: The association between exposure to environmental bisphenol A and gonadotropic hormone levels among men
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Environmental drivers of plant distributions at global and regional scales: occurrence data with associated environmental variables of plant families/genera/species
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Estuarine fishes associated with intertidal oyster reefs characterised using environmental DNA and baited remote underwater video
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Penetrance of biallelic SMARCAL1 mutations is associated with environmental and genetic disturbances of gene expression (3)
GEO Series GSE35553. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
Identification of transcriptional drifts in endothelial cells associated with environmental changes
GEO Series GSE158081. Homo sapiens. 40 samples. Type: Expression profiling by high throughput sequencing.
Disease-associated loci share features with loci that regulate gene expression in response to environmental perturbations
GEO Series GSE292909. Homo sapiens. 47 samples. Type: Expression profiling by high throughput sequencing.
Psychoactive pharmaceuticals at environmental concentrations induce in vitro gene expressions associated with neurological disorders
GEO Series GSE80635. Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.
Association of Environmental Exposure to Chromium with Differential DNA Methylation: An Epigenome-Wide Study
GEO Series GSE206418. Homo sapiens. 20 samples. Type: Methylation profiling by genome tiling array.
Data from: Socio-demographic, social-cognitive, health-related and physical environmental variables associated with context-specific sitting time in Belgian adolescents: a one-year follow-up study
Introduction: More knowledge is warranted about multilevel ecological variables associated with context-specific sitting time among adolescents. The present study explored cross-sectional and longitudinal associations of ecological domains of sedentary behaviour, including socio-demographic, social-cognitive, health-related and physical-environmental variables with sitting during TV viewing, computer use, electronic gaming and motorized transport among adolescents. Methods: For this longitudinal study, a sample of Belgian adolescents completed questionnaires at school on context-specific sitting time and associated ecological variables. At baseline, complete data were gathered from 513 adolescents (15.0±1.7 years). At one-year follow-up, complete data of 340 participants were available (retention rate: 66.3%). Multilevel linear regression analyses were conducted to explore cross-sectional correlates (baseline variables) and longitudinal predictors (change scores variables) of context-specific sitting time. Results: Social-cognitive correlates/predictors were most frequently associated with context-specific sitting time. Longitudinal analyses revealed that increases over time in considering it pleasant to watch TV (p < .001), in perceiving TV watching as a way to relax (p < .05), in TV time of parents/care givers (p < .01) and in TV time of siblings (p < .001) were associated with more sitting during TV viewing at follow-up. Increases over time in considering it pleasant to use a computer in leisure time (p < .01) and in the computer time of siblings (p < .001) were associated with more sitting during computer use at follow-up. None of the changes in potential predictors were significantly related to changes in sitting during motorized transport or during electronic gaming. Conclusions: Future intervention studies aiming to decrease TV viewing and computer use should acknowledge the importance of the behaviour of siblings and the pleasure adolescents experience during these screen-related behaviours. In addition, more time parents or care givers spent sitting may lead to more sitting during TV viewing of the adolescents, so that a family-based approach may be preferable for interventions. Experimental study designs are warranted to confirm the present findings.
Enhanced biofilm formation aids adaptation to extreme warming and environmental instability in the diatom Thalassiosira pseudonana and its associated bacteria
<p>These files contain all data necessary to create the figures published in "Enhanced biofilm formation aids adaptation to extreme warming and environmental instability in the diatom Thalassiosira pseudonana and its associated bacteria". In most cases, these are also the data that were used for analysis. Raw data and R code are available from the author upon request. Sequencing data will be available From GenBank in due course (accession numbers will be added to the zenodo file descriptor). </p> <p>1. File "20180930_biofilm_trajectories" contains the evolutionary trajectories of biofilm forming cells. The column names are as follows: 'count' for number of cells, 'size' is a unites ImageJ estimate, '%area' gives the area of the cover slip that had biofilm growth, 'date' is the date of the measurement and was used for internal purposes only, 'temp' is the selection temperature , 'nutrient' gives the nutrient status with n+ for nutrient replete and n- for lower nutrient status, 'week' for week of the experiment. Evoplas indicates whether the measurement was for the evolved samples in their selection environment ('evo', assay temperature is the same as selection temperature) or whether it was an assay for plasticity ('plas' , assay at a temperature other than the selection temperature). assay details the assay temperature. These data can be used to re-create and analyse Figure 3. (Figures 1 and 2 are conceptual figures; i.e there are no data associated)</p> <p>2. File "20180930Ability_to_form_biofilms" contains data for analysing whether a naive planktonic sample presented with a coverslip grows in a biofilm as well as a sample selected to form biofilms. Column names are the same as above, apart from the 'ability [...]' column, which is the ratio of biofilm growth of a biofilm-selected sample compared to a naive sample. Values >1 indicate that the biofilm selected samples grew larger biofilms faster than a planktonic samples subjected to the same conditions. These data are for Figure 6. </p> <p>3. File "20183009_biofilm_characterise" contains the data for Figure 4, i.e. information on cell size, chlorophyll a content, and bacterial load. The column names are as follows: trait is for either cell diameter in µm ('size'), chlorophyll a content ('chlorophyll'), or bacterial load. Selection temp is the selection temperature and nutr, the nutrient regime with full for full f/2 media and deplete for 1/3 of f/2 media. in 'sampletype' p is for planktonic cells, bf for the biofilm cells, and pbf for planktonic cells sloughed off the biofilm. Traitvalue is for the trait values. Size in µm, chlorophyll in pg per cell, and bacterial load in % of total biomass. </p>
Microbial and Environmental Factors Associated with Polyps Development in Familial Adenomatous Polyposis (MicrobEnvironment in FAP)
ClinicalTrials.gov study NCT06614738. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Congenital Uterine Anomalies: Identifying Cancer Associations and Genetic and Environmental Factors to Improve Clinical Care
ClinicalTrials.gov study NCT04661072. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Dietary Factors and Disfluency: A Look Into Food Allergies and Other Environmental Triggers Associated With Variations in Severity of Vocal Cord Tension.
ClinicalTrials.gov study NCT02547051. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Machine Learning to Construct an Association Model for Lung Cancer and Environmental Hormone
ClinicalTrials.gov study NCT06259461. IPD Sharing: NO. Countries: 1. Publications: 0.
Changes in Environmental Stress over COVID-19 Pandemic Likely Contributed to Failure to Replicate Adiposity Phenotype Associated with Krtcap3
GEO Series GSE236873. Rattus norvegicus. 16 samples. Type: Expression profiling by high throughput sequencing.
Screening autism-associated environmental factors in differentiating human neural progenitors with fractional factorial design-based transcriptomics
GEO Series GSE229546. Homo sapiens. 43 samples. Type: Expression profiling by high throughput sequencing.
Data from: Socio-demographic, social-cognitive, health-related and physical environmental variables associated with context-specific sitting time in Belgian adolescents: a one-year follow-up study
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Identification of transcriptional drifts in endothelial cells associated with environmental changes
GEO Series GSE156939. Homo sapiens. 7 samples. Type: Expression profiling by high throughput sequencing.
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.