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.
76
datasets available to search
ShareScore release 0.9.0
Dataset results
76 results for “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.
Data and Analysis Scripts for "Drift in Individual Behavioral Phenotype as a Strategy for Unpredictable Worlds"
<p>This document contains the raw data and analysis scripts for the paper "Drift in Individual Behavioral Phenotype as a Strategy for Unpredictable Worlds", including <em>Drosophila melanogaster</em> circling and handedness behavior at multiple timepoints and across genotypes and experimental conditions manipulating serotonin. It also contains code used to run ecological simulations in the paper and the results of those simulations, as well as code to generate figures for the paper.</p>
Data from: Genetic and habitat complexity effects on unpredictability in escape behavior of a grasshopper species
Open the record for dataset details and reuse information.
Data for: Relatively rare root endophytic bacteria drive plant resource allocation patterns and tissue nutrient concentration in unpredictable ways
<p><span><span><span><span><span><span><span><span><span><span><span><b>Premise of Study</b></span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>Plant endophytic bacterial strains can influence plant traits such as leaf area and root length. Yet, the influence of more complex bacterial communities in regulating overall plant phenotype is less explored. Here, we conducted two complementary experiments to test if we can predict plant phenotype response to changes in microbial community composition. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Methods</b></span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>In the first study, we inoculated a single genotype of <i>Populus deltoides</i>with individual root endophytic bacteria and measured plant phenotype. Next, single inoculation data were used to predict phenotypic traits in mixed three-member community inoculations, which we tested in the second experiment. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Key Results</b></span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>When in isolation, each bacterial endophyte significantly but weakly altered plant phenotype relative to non-inoculated plants. In mixture, bacterial strain <i>Burkholderia</i>BT03, constituted at least 98% of community relative abundance. Yet, plant resource allocation and tissue nutrient concentrationswere disproportionately influenced by <i>Pseudomonas </i>sp.GM17, GM30, and GM41. We found a 10% increase in leaf mass fraction and a 11% decrease in root mass fraction when replacing<i>Pseudomonas </i>GM17 with GM41 in communities containing both <i>Pseudomonas </i>GM30 and <i>Burkholderia</i>BT03. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Conclusions</b></span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>Our results indicate that interactions among endophytic bacteria may drive plant phenotype over the contribution of each strain individually. Additionally, we have shown that low-abundant strains contribute to plant phenotype challenging the assumption that the dominant strains will drive plant function.</span></span></span></span></span></span></span></span></span></span></span></p>
Supporting Data: The Paucity of frugivores in Madagascar may not be due to unpredictable temperatures or fruit resources
<p>This directory contains phenology and climate data from Betampona (Madagascar) and Kibale (Uganda), as well as code used for analyses and generating figures.</p> <p>~/DATA/ contains phenology and climate datasets from Betampona (Madagascar) and Kibale (Uganda)<br> ~/SCRIPTS/ contains scripts used in analyzing phenology and climate -- regression analysis and colwell's metrics -- and for generating figures</p>
Predictive physiological anticipation preceding seemingly unpredictable stimuli: a meta-analysis
<p>The research that created this data is described in:</p> <ul> <li>Mossbridge, J., Tressoldi, P.E. and Utts, J. (2012). Predictive physiological anticipation preceding seemingly unpredictable stimuli: a meta-analysis. Frontiers in Psychology 3:390. doi: 10.3389/fpsyg.2012.00390.</li> </ul> <p>Two files are included:</p> <ul> <li>PPAA_MA.xlsx - The original file, Excel format</li> <li>PPAA_MA.csv - The file converted to CSV format by Adrian Ryan; comments converted to columns.</li> </ul>
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>
Data and code for: Functional traits mediate individualistic species-environment distributions at broad spatial scales while fine-scale species' associations remain unpredictable
<p>Ecological communities are structured by a diverse set of processes acting at different spatial scales. In plant communities, assembly processes like ecological sorting, limiting similarity, and stochastic events are all expected to influence plant distributions and co-occurrence patterns. We assembled a data set describing the distribution of 139 herbaceous plant species within and among 257 forest stands in Wisconsin (USA) to elucidate the spatial scales at which these assembly processes operate. Analyses of these data in conjunction with detailed information about environmental conditions, plant functional traits, and phylogenetic relationships provided new insights into the scale-dependent drivers of plant community assembly in temperate forest understories. Traits like leaf height, specific leaf area, and seed mass all influenced individualistic plant distributions along landscape-scale gradients in soil texture, soil fertility, light availability, and climate while phylogenetic relationships did not predict species-environment relationships. These findings point to the importance of trait-mediated ecological sorting in shaping individualistic plant distributions at broad spatial scales. Contrary to our expectations about the importance of limiting similarity at local scales, neither functionally similar nor phylogenetically related herbs segregated among microsites within forest stands. We hypothesize strong ecological sorting among forest stands coupled with stochastic fine-scale interactions among species appear deterministic, niche-based assembly processes at local scales.</p>
Data from: Unpredictability and adaptive responses to dietary variability in Japanese quail
Open the record for dataset details and reuse information.
Data from: Extreme site fidelity as an optimal strategy in an unpredictable and homogeneous environment
Open the record for dataset details and reuse information.
Variation in developmental rates is not linked to environmental unpredictability in annual killifishes
Open the record for dataset details and reuse information.
Data and code for: Functional traits mediate individualistic species-environment distributions at broad spatial scales while fine-scale species’ associations remain unpredictable
Open the record for dataset details and reuse information.
Genotype-environment interaction reveals varied developmental responses to unpredictable host phenology in a tropical insect
Open the record for dataset details and reuse information.
The importance of quantifying selection climates: Predictable and unpredictable variation in predation risk and the implications for prey responses
Open the record for dataset details and reuse information.
Data for: Relatively rare root endophytic bacteria drive plant resource allocation patterns and tissue nutrient concentration in unpredictable ways
Open the record for dataset details and reuse information.
Unapparent trees: escaping enemies in time by being discreet, unpredictable and inaccessible
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.
Shotgun MVP: Reducing risk in highly unpredictable ML products
<p>Machine learning products do not fit neatly into the agile methodology. There are different reasons for this, the primary one being the lack of certainty behind which directions will be successful (due to data quality and similar issues). Thus, what often happens in organizations is <em>pilotitis</em> - the disease of launching MVP after MVP without tangible progress and commitment.</p> <p>There is a method to address this issue while still alleviating the uncertainty behind planning MVPs - the Shotgun MVP. As a first step, several MVP initiatives are launched simultaneously (staffed to the bare minimum needed). Thus, all possible approaches are covered. This process continues for several sprints until a clear frontrunner becomes apparent - based on a "success" metric. There is flexibility in defining this metric, and possible examples include performance metrics (i.e., model accuracy) and solution complexity (such as the workforce needed to complete further development iterations). After this MVP (MVP II in our case) is selected, resources are committed fully to it for the following sprints while keeping the other options as backup plans or possible enhancements for downstream work.</p> <p>This simple procedure is not easy to perform and requires careful and restrained execution but can provide the shortest way to delivering a successful ML product.</p>
Data from: Genetic diversity is largely unpredictable but scales with museum occurrences in a species-rich clade of Australian lizards
Genetic diversity is a fundamental characteristic of species and is affected by many factors, including mutation rate, population size, life history and demography. To better understand the processes that influence levels of genetic diversity across taxa, we collected genome-wide restriction-associated DNA data from more than 500 individuals spanning 76 nominal species of Australian scincid lizards in the genus Ctenotus. To avoid potential biases associated with variation in taxonomic practice across the group, we used coalescent-based species delimitation to delineate 83 species-level lineages within the genus for downstream analyses. We then used these genetic data to infer levels of within-population genetic diversity. Using a phylogenetically informed approach, we tested whether variation in genetic diversity could be explained by population size, environmental heterogeneity or historical demography. We find that the strongest predictor of genetic diversity is a novel proxy for census population size: the number of vouchered occurrences in museum databases. However, museum occurrences only explain a limited proportion of the variance in genetic diversity, suggesting that genetic diversity might be difficult to predict at shallower phylogenetic scales.
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.