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.
4,669
datasets available to search
ShareScore release 0.9.0
Dataset results
4,669 results for “Environment;”
Figure 6 in Ontogenetic and sexual variation in the sagitta otolith of Menticirrhus americanus (Teleostei; Sciaenidae) (Linnaeus, 1758) in a subtropical environment
Figure 6. Box plot (mean and confidence interval) of morphometric parameters and morphometric indices of the otolith sagitta of Menticirrhus americanus per class interval: (A) otolith length (OL), (B) otolith height (OH), (C) OL/TL aspect ratio, (D) OH/OL% aspect ratio, (E) form factor, (F) rectangularity, (G) ellipticity and (H) surface of the sulcus acusticus (SRS). Circles indicate outliers.
Figure 5 in Ontogenetic and sexual variation in the sagitta otolith of Menticirrhus americanus (Teleostei; Sciaenidae) (Linnaeus, 1758) in a subtropical environment
Figure 5. Micrograph of the inner face of the right sagitta otolith of Menticirrhus americanus throughout its ontogenetic development: (A) 132 mm interval 110-150 magnification 52x, (B) 169 mm interval 160-200 magnification 42x, (C) 214 mm interval 210-250 magnification 36x, (D) 285 mm interval 260-300 magnification 42x and (E) 333 mm interval 310-350 magnification 26x.
Figure 2 in Ontogenetic and sexual variation in the sagitta otolith of Menticirrhus americanus (Teleostei; Sciaenidae) (Linnaeus, 1758) in a subtropical environment
Figure 2. Scheme of linear morphometry applied to the right otolith of Menticirrhus americanus collected in a subtropical environment: OL = maximum longitudinal length, OH = maximum perpendicular height, A = area of the otolith and AS = area of the sulcus acusticus, Pe = perimeter of the otolith and PeS = perimeter of the sulcus acusticus.
Figure 1 in Ontogenetic and sexual variation in the sagitta otolith of Menticirrhus americanus (Teleostei; Sciaenidae) (Linnaeus, 1758) in a subtropical environment
Figure 1. Sampling sites of Menticirrhus americanus in estuarine areas (P1) and a beach adjacent (P2) to the estuary in the Subtropical Southwestern Atlantic.
The role of perception and action on the use of allocentric information in a large-scale virtual environment
<p>Final allo weights, filtered as explained in the manuscript</p>
Elastic Scattering of Electron in Neutral Plasma: Interaction Model and Plasma Environment Effects
<p>please see Elastic Scattering of Electron in Neutral Plasma: Interaction Model and Plasma Environment Effects</p>
Modeling tectonics and surfaces processes interaction in a continental and marine environment : the case of the Algerian margin
<p><em><strong>The dataset :</strong></em></p> <p>The directory DATASET.zip provides data from an analog modeling experiment investigating the mechanics of passive margin tectonic inversion and the couplings between tectonics and onshore/offshore morphogenetic processes, applied to the study of the Plio-Quaternary evolution of the Algerian Margin (Northern Africa). This experiment is fully described and the model outcomes discussed in Strzerzynski et al. (submited to JGR 06/2020).</p> <p>The data set contains three Movies (referenced as 2D-S1, 3D-S2 and 2D-S3.mp4) showing the model evolution from three different points of view. Movie 2D-S1.mp4 and Movie 3D-S2.mp4 correspond to general upper and oblique views of the whole experiment, respectively. Movie Zoom 2D-S3.mp4 shows a focused upper view of a part of the experiment during the margin tectonic inversion.</p> <p>Model evolution consists first by a massive sea level drop down and low stand in absence of tectonics simulating the Messinian Salinity Crisis (between 2'' and 28'' of video record) followed by an instantaneous, (rainfall is stopped), sea level rise (between 28'' and 41'' of video record). Second, after a short period of quiescence, shortening is applied to the model leading to the tectonic inversion of the margin (last 60 second of the record).</p> <p><em><strong>The analog model :</strong></em></p> <p>The experimental set-up used in this study has been developed at the Geosciences Montpellier Analog Modeling laboratory at the University of Montpellier, France (contact: Dr. S. Dominguez, <a href="mailto:stephane.Dominguez@gm.univ-montp2.fr">stephane.Dominguez@gm.univ-montp2.fr</a>). It is constituted by a mechanical apparatus to deform the analogue model, a rainfall system to erode its surface, and a digital monitoring device used to quantify model evolution during the experiment. The deformation device is made of an aluminum structure supporting a bended PVC plate bounded by glass/PVC walls and a rigid backstop. A Mylar/carbon sheet, lying on the PVC plate, is pulled beneath the backstop using a computerized stepping motor to impose model shortening. The rainfall system uses up to 8 sprinklers to diffuse water micro-droplets over the model surface. Water runoff enhances erosion of the emerged part of the model triggering several natural processes shaping the topography such as; channel incision in the drainage network, slope diffusion and gravity controlled landslides. In the submarine part of the model, sedimentation processes dominate but gravity driven instabilities also contribute to shape the submarine morphology.</p>
Data and results for manuscript "A monitoring system for spatiotemporal electrical self-potential measurements in cryospheric environments"
<p>This package contains data and python scripts required to reproduce the figures of the accepted manuscript</p> <p>Weigand, M., Wagner, F. M., Limbrock, J. K., Hilbich, C., Hauck, C., and Kemna, A.: A monitoring system for spatiotemporal electrical self-potential measurements in cryospheric environments, Geosci. Instrum. Method. Data Syst. Discuss., https://doi.org/10.5194/gi-2020-5, 2020.</p> <p>Final Paper DOI: https://doi.org/10.5194/gi-9-1-2020</p> <p>https://gi.copernicus.org/preprints/gi-2020-5/</p> <p>Please refer to the Readme.txt file for further instructions.</p>
Database used in the article: The consumption of alcohol by adolescent schoolchildren: Differences in the triadic relationship pattern between rural and urban environments.
<p>Database used in the study: The consumption of alcohol by adolescent schoolchildren: Differences in the triadic relationship pattern between rural and urban environments.</p>
Questionnares used in the article: The consumption of alcohol by adolescent schoolchildren: Differences in the triadic relationship pattern between rural and urban environments.
<p>Questionnaires used in the study: The consumption of alcohol by adolescent schoolchildren: Differences in the triadic relationship pattern between rural and urban environments.</p>
Integration of Activity Specification into DEVS Modeling & Simulation Development Environment
<p>We propose an integrative environment for the modeling and simulation of activity specification. The devised approach relies on the DEVS (Discrete Event System Specification) formalism for the foundational semantics of the essential activity elements. The code generation takes place afterward, targeting specific DEVS-compliant modeling and simulation (M&S) environments such as DEVS-Suite and MS4 Me. The modelers can set parameters or modify the code to satisfy specific needs. The simulation can then be conducted with behavior monitoring and visualization. We demonstrate the approach with observations about performance evaluation and tracking. Such environments have the potential to facilitate computational model development for System of Systems via full-scale simulation support.</p>
Influences of climatic and social environment on variable maternal allocation among offspring in Alpine marmots
<p>4 dataset corresponding to the four models described.</p>
Dataset for the study "Assesment of Morelian meteoroid impact on Mexican environment" Part 2.
<p>Dataset for the study "Assesment of Morelian meteoroid impact on Mexican environment" Part 2.</p>
Figure 1 from: Raes N, Casino A, Goodson H, Islam S, Koureas D, Schiller EK, Schulman L, Tilley L, Robertson T (2020) White paper on the alignment and interoperability between the Distributed System of Scientific Collections (DiSSCo) and EU infrastructures - The case of the European Environment Agency (EEA). Research Ideas and Outcomes 6: e62361. https://doi.org/10.3897/rio.6.e62361
Figure 1 The DiSSCo programme with all strategically aligned projects.
Data from: Adaptation and plasticity of animal communication in fluctuating environments
Adaptations that facilitate the reception of long-range signals under challenging conditions are expected to generate signal diversity when species communicate in different habitats. While we have a general understanding of how individual communicating animals cope with conditions influencing signal detection, the extent to which plasticity and evolutionary changes in signal characteristics contribute to interspecific differences in signaling behavior is unclear. We quantified the visual displays of free-living lizards and environmental variables known to influence display detection for multiple species from two separate island radiations. We found evidence of both adaptive evolution and adaptive plasticity in display characteristics as a function of environmental conditions, but plasticity accounted for most of the observed differences in display behavior across species. At the same time, prominent differences between the two island radiations existed in aspects of signaling behavior, unrelated to the environment. Past evolutionary events have therefore played an important role in shaping the way lizards adjust their signals to challenges in present-day environments. In addition to showing how plasticity contributes to interspecific differences in communication signals, our findings suggest the vagaries of evolution can in itself lead to signal variation between species.
Data from: Quantifying heritable variation in fitness-related traits of wild, farmed and hybrid Atlantic salmon families in a wild river environment
Farmed fish are typically genetically different from wild conspecifics. Escapees from fish farms may contribute one-way gene flow from farm to wild gene pools, which can depress population productivity, dilute local adaptations and disrupt coadapted gene complexes. Here, we reanalyse data from two experiments (McGinnity et al., 1997, 2003) where performance of Atlantic salmon (Salmo salar) progeny originating from experimental crosses between farm and wild parents (in three different cohorts) were measured in a natural stream under common garden conditions. Previous published analyses focussed on group-level differences but did not account for pedigree structure, as we do here using modern mixed-effect models. Offspring with one or two farm parents exhibited poorer survival in their first and second year of life compared with those with two wild parents and these group-level inferences were robust to excluding outlier families. Variation in performance among farm, hybrid and wild families was generally similar in magnitude. Farm offspring were generally larger at all life stages examined than wild offspring, but the differences were moderate (5–20%) and similar in magnitude in the wild versus hatchery environments. Quantitative genetic analyses conducted using a Bayesian framework revealed moderate heritability in juvenile fork length and mass and positive genetic correlations (>0.85) between these morphological traits. Our study confirms (using more rigorous statistical techniques) previous studies showing that offspring of wild fish invariably have higher fitness and contributes fresh insights into family-level variation in performance of farm, wild and hybrid Atlantic salmon families in the wild. It also adds to a small, but growing, number of studies that estimate key evolutionary parameters in wild salmonid populations. Such information is vital in modelling the impacts of introgression by escaped farm salmon.
Data from: Sex differences in dispersal syndrome are modulated by environment and evolution
Dispersal syndromes (i.e. suites of phenotypic correlates of dispersal) are potentially important determinants of local adaptation in populations. Species that exhibit sexual dimorphism in their life history or behaviour may exhibit sex-specific differences in their dispersal syndromes. Unfortunately, there is little empirical evidence of sex differences in dispersal syndromes and how they respond to environmental change or dispersal evolution. We investigated these issues using two same-generation studies and a long-term (greater than 70 generations) selection experiment on laboratory populations of Drosophila melanogaster. There was a marked difference between the dispersal syndromes of males and females, the extent of which was modulated by nutrition availability. Moreover, dispersal evolution via spatial sorting reversed the direction of dispersal × sex interaction in one trait (desiccation resistance), while eliminating the sex difference in another trait (body size). Thus, we show that sex differences obtained through same-generation trait-associations ('ecological dispersal syndromes') are probably environment-dependent. Moreover, even under constant environments, they are not good predictors of the sex differences in 'evolutionary dispersal syndrome' (i.e. trait-associations shaped during dispersal evolution). Our findings have implications for local adaptation in the context of sex-biased dispersal and habitat-matching, as well as for the use of dispersal syndromes as a proxy of dispersal.
Data from: Improving accuracies of genomic predictions for drought tolerance in maize by joint modeling of additive and dominance effects in multi-environment trials
Breeding for drought tolerance is a challenging task that requires costly, extensive and precise phenotyping. Genomic selection (GS) can be used to maximize selection efficiency and the genetic gains in maize (Zea mays L.) breeding programs for drought tolerance. Here we evaluated the accuracy of genomic selection of additive (A) against additive+dominance (AD) models to predict the performance of untested maize single-cross hybrids for drought tolerance in multi-environment trials. Phenotypic data of five drought-tolerance traits were measured in 308 hybrids in eight trials under water-stressed (WS) and well-watered (WW) conditions over two years and two locations in Brazil. Hybrids' genotypes were inferred based on their parents' genotypes (inbred lines) using single nucleotide polymorphism data obtained via genotyping-by-sequencing. GS analyses were performed using genomic best linear unbiased prediction by fitting a factor analytic (FA) multiplicative mixed model. Results showed differences in the predictive accuracy between A and AD models for the five traits under consideration in both water conditions. For grain yield (GY), the AD model doubled the predictive accuracy in comparison to the A model. FA framework allowed for investigating the stability of additive and dominance effects across environments, as well as the additive- and dominance-by-environment interactions, with interesting applications for parental and hybrid selection. Prediction performance of untested hybrids using GS that benefit from borrowing information from correlated trials increased 40% and 9% for A and AD models, respectively. These results highlighted the importance of multi-environment trial analysis with GS that incorporate dominance effects into genomic predictions of GY in maize single-cross hybrids.
Data from: Flower preferences and pollen transport networks for cavity nesting solitary bees: implications for the design of agri-environment schemes
Floral foraging resources are valuable for pollinator conservation on farmland, and their provision is encouraged by agri-environment schemes in many countries. Across Europe, wildflower seed mixtures are widely sown on farmland to encourage pollinators, but the extent to which key pollinator groups such as solitary bees exploit and benefit from these resources is unclear. We used high-throughput sequencing of 164 pollen samples extracted from the brood cells of 6 common cavity nesting solitary bee species (Osmia bicornis, Osmia caerulescens, Megachile versicolor, Megachile ligniseca, Megachile centuncularis and Hylaeus confususi) which are widely distributed across the UK and Europe. We documented their pollen use across 19 farms in southern England, UK, revealing their forage plants and examining the structure of their pollen transport networks. Of the 32 plant species included currently in sown wildflower mixes, 15 were recorded as present within close foraging range of the bees on the study farms, but only Ranunculus acris L. was identified within the pollen samples. Rosa canina L. was the most commonly found of the 23 plant species identified in the pollen samples, suggesting that, in addition to providing a nesting resource for Megachile leafcutter bees, it may be an important forage plant for these species. Higher levels of connectance and nestedness were characteristic of pollen transport networks on farms with abundant floral resources, which may increase resilience to species loss. Our data suggest that plant species promoted currently by agri-environment schemes are not optimal for solitary bee foraging. If a diverse community of pollinators is to be supported on UK and European farmland, additional species such as Rosa canina should be encouraged to meet the foraging requirements of solitary bees.
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
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.