Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
9
datasets available to search
ShareScore release 0.9.0
Dataset results
9 results for “environmental unpredictability”
Fig. 3 in Adaptations, life-history traits and ecological mechanisms of parasites to survive extremes and environmental unpredictability in the face of climate change
Fig. 3. Flow chart outlining factors that can influence the response of parasites to climate change.
Variation in developmental rates is not linked to environmental unpredictability in annual killifishes
<p>Comparative evidence suggests that adaptive plasticity may evolve as a response to predictable environmental variation. However, less attention has been placed on unpredictable environmental variation, which is considered to affect evolutionary trajectories by increasing phenotypic variation (or bet-hedging). Here, we examine the occurrence of bet-hedging in egg developmental rates in seven species of annual killifish that originate from a gradient of variation in precipitation rates, under three treatment incubation temperatures (21°C, 23°C, and 25°C). In the wild, these species survive regular and seasonal habitat desiccation, as dormant eggs buried in the soil. At the onset of the rainy season embryos must be sufficiently developed in order to hatch and complete their life-cycle. We found substantial differences among species in both the mean and variation of egg development rates, as well as species-specific plastic responses to incubation temperature. Yet, there was no clear relationship between variation in egg development time and variation in precipitation rate (environmental predictability). The exact cause of these differences therefore remains enigmatic, possibly depending on differences in other natural environmental conditions in addition to precipitation predictability. Hence, if species-specific variances are adaptive, the relationship between development and variation in precipitation is complex and does not diverge in accordance with simple linear relationships.</p>
Data for: Parental environmental effects are common and strong, but unpredictable, in Arabidopsis thaliana
<p>The phenotypes of plants can be influenced by the environmental conditions experienced by their parents. However, there is still much uncertainty about how common and how predictable such parental environmental effects really are.</p> <p>We carried out a comprehensive experimental test for parental effects, subjecting plants of multiple <em>Arabidopsis thaliana</em> genotypes to 24 different biotic or abiotic stresses, or combinations thereof, and comparing their offspring phenotypes in a common environment.</p> <p>The majority of environmental stresses caused significant parental effects, with ‑35% to +38% changes in offspring fitness. The expression of parental effects was strongly genotype-dependent, and multiple environmental stresses often acted non-additively when combined. The direction and magnitude of parental effects were unrelated to the direct effects on the parents: some environmental stresses did not affect the parents but caused substantial effects on offspring, while for others the situation was reversed.</p> <p>Our study demonstrates that parental environmental effects are common and often strong in <em>A. thaliana</em>, but they are genotype-dependent, act non-additively, and are difficult to predict. We should thus be cautious with generalizing from simple studies with single plant genotypes and/or only few individual environmental stresses. A thorough and general understanding of parental effects requires large multi-factorial experiments.</p>
Variation in developmental rates is not linked to environmental unpredictability in annual killifishes
Open the record for dataset details and reuse information.
Data for: Parental environmental effects are common and strong, but unpredictable, in Arabidopsis thaliana
Open the record for dataset details and reuse information.
Data from: Adaptation in response to environmental unpredictability
Open the record for dataset details and reuse information.
Fig. 2. Plots A-B in Adaptations, life-history traits and ecological mechanisms of parasites to survive extremes and environmental unpredictability in the face of climate change
Fig. 2. Plots A-B. Hypothetical thermal curves of the free-living stages of two parasite populations with different thermal adaptation histories and similar thermal optimum (highest point in the curve). The blue curve represents a population adapted to a highly variable environment and the orange curve a population adapted to a less variable environment. The dashed black line is a hypothetical current mean temperature in the environment and the dashed grey line represents an increased mean temperature as a consequence of climate change. In plot A, the historical temperature sits close to the thermal optimum in both populations, and an increase in temperature results in a decrease in parasite performance, which is greater for the parasite adapted to the less variable environment. In plot B, the historical temperature is well below the thermal optimum of both parasites, and an increase in temperature results in improved performance for both parasites. In both scenarios, an increase in mean temperature causes a much higher relative change in performance in the population from the less variable environment as indicated in the difference in size among the shade areas. Plot C shows the hypothetical temperature and thermal development ranges for the free-living stages of parasites inhabiting three different latitudes. The temperature range increases with latitude but the development range of parasites does not because, although the thermal range in high latitudes is wider, a large portion of this range occurs <0 ◦C. While parasites from high latitudes might be highly resistant to freezing temperatures, they are also more vulnerable to high temperatures. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Adaptations, life-history traits and ecological mechanisms of parasites to survive extremes and environmental unpredictability in the face of climate change
Fig. 1. Schematic of two types of life cycles of parasitic nematodes highlighting stage-specific interactions with the environment and hosts, and adaptations to cope with extreme environmental conditions: A) direct life cycle and B) specific indirect life cycle of protostrongylid parasites. In red are indicated the developmental stages of the parasite. The performance (e.g., survival rate, development rate) of developmental stages in the orange area is directly influenced by changes in environmental conditions. Developmental stages in light blue area are indirectly influenced by environmental conditions experienced by the definitive or intermediate hosts. The effect of the environment on the L3 of protostrongylids can be direct or indirect depending if the L3 migrates out of the intermediate host (direct) or if the L3 remains in the intermediate host (indirect). In the inner triangles, examples of stage-specific adaptations to cope with extremes are indicated. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Data from: Experimental evolution of bet hedging in rotifer diapause traits as a response to environmental unpredictability
Open the record for dataset details and reuse information.
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.