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185
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ShareScore release 0.9.0
Dataset results
185 results for “Changing environments”
Data from: Genotype-environment mismatch of kelp forests under climate change
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Data from: Parental care amplifies changes in offspring production in a disturbed environment
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Data from: Ants adjust their pheromone deposition to a changing environment and their probability of making errors
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Data from: Three types of rescue can avert extinction in a changing environment
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Data from: Chaos and the (un)predictability of evolution in a changing environment
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Data from: Yeast adapts to a changing stressful environment by evolving cross-protection and anticipatory gene regulation.
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Data from: Mechanisms of thermal adaptation and evolutionary potential of conspecific populations to changing environments
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Data from: Predicting biotic interactions and their variability in a changing environment
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Tracking transcript abundance changes of D. vulgaris co-cultures with M. maripaludis in fluctuating resource environment
GEO Series GSE79022. Nitratidesulfovibrio vulgaris str. Hildenborough. 29 samples. Type: Expression profiling by high throughput sequencing.
Interleukin 7 therapy changes tumor immune environment to pro-inflammatory through myeloid and T cell interactions [Visium]
GEO Series GSE205306. Mus. 2 samples. Type: Expression profiling by high throughput sequencing.
Gene expression changes in mouse pancreatic cancer xenograft induced by exposure to enriched environment
GEO Series GSE58306. Mus musculus. 2 samples. Type: Expression profiling by array.
Environment-driven changes of mRNA and protein levels in Pseudomonas aeruginosa
GEO Series GSE116308. Pseudomonas aeruginosa. 4 samples. Type: Expression profiling by high throughput sequencing.
A High Parasite Density Environment Induces Transcriptional Changes and Cell Death in Plasmodium falciparum Blood Stages
GEO Series GSE91188. Plasmodium falciparum; Anopheles gambiae. 9 samples. Type: Expression profiling by array.
Gene expression changes in the olfactory bulb of mice induced by exposure to diesel exhaust are dependent on animal rearing environment
GEO Series GSE46163. Mus musculus. 8 samples. Type: Expression profiling by array.
Haemophilus ducreyi infection induces oxidative stress, central metabolic changes, and a mixed pro- and anti-inflammatory environment in the human host
GEO Series GSE214586. Homo sapiens; [Haemophilus] ducreyi. 20 samples. Type: Expression profiling by high throughput sequencing.
Hippocampal changes in the transcriptome of alpha-synuclein overexpressing mice housed in standard or chronic mild stress environment
GEO Series GSE116009. Mus musculus. 15 samples. Type: Expression profiling by high throughput sequencing.
Interleukin 7 therapy changes tumor immune environment to pro-inflammatory through myeloid and T cell interactions [scRNAseq]
GEO Series GSE205305. Mus. 8 samples. Type: Expression profiling by high throughput sequencing.
Footprints of global change in marine life: inferring past environment based on DNA methylation and gene expression marks
GEO Series GSE152444. Dicentrarchus labrax. 32 samples. Type: Methylation profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
DNA methylation changes in SHRSP rat offspring due to maternal protein restriction are reprogrammed by postnatal nutritional environments
GEO Series GSE215182. Rattus norvegicus. 12 samples. Type: Expression profiling by array.
Data from: Maladaptive shifts in life history in a changing environment
Many species facing climate change have complex life cycles, with individuals in different stages differing in their sensitivity to a changing climate and their contribution to population growth. We use a quantitative genetics model to predict the dynamics of adaptation in a stage-structured population confronted with a steadily changing environment. Our model assumes that different optimal phenotypic values maximize different fitness components, consistent with many empirical observations. In a constant environment, the population evolves towards an equilibrium phenotype, which represents the best compromise given the trade-off between vital rates. In a changing environment however, the mean phenotype in the population will lag behind this optimal compromise. We show that this lag may result in a shift along the trade-off between vital rates, with negative consequences for some fitness components, but, less intuitively, improvements in some others. Complex eco-evolutionary dynamics can emerge in our model due to feedbacks between population demography and adaptation. Because of such feedbacks loops, selection may favor further shifts in life history in the same direction as caused by maladaptive lags. These shifts in life history could be wrongly interpreted as adaptations to the new environment, while they only reflect the inability of the population to adapt fast enough.
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.