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.
4,243
datasets available to search
ShareScore release 0.7.1
Dataset results
4,243 results for “seasonality”
FIGURE 5 in A new species of the seasonal killifish genus Moema (Cyprinodontiformes: Rivulidae) from the Piraí watershed in the Southwest Amazon basin
FIGURE 5 | Moema juanderibaensis, MNKP 16541, paratype, male, 46.1 mm SL, Bolivia, Santa Cruz, Santa Rosa del Sara. Detail of infraorbital, preopercular and mandibular neuromast series.
Quantifying direct and indirect effects of early-season herbivory on reproduction across four brassicaceous plant species
<div> <p>Insect herbivores can directly affect plant reproduction by feeding on reproductive tissues, or indirectly by feeding on vegetative tissues for which plants are unable to compensate. Additionally, early-arriving herbivores may have cascading effects on plant reproduction by altering the later-arriving community. However, the dynamic interplay between plant development and the assembly of herbivore communities remains underexplored. Hence, it is unclear whether non-outbreak levels of ambient herbivory early in the development of plants can impact plant fitness and to what extent these effects are mediated through changes in plant development and subsequent herbivory. By excluding the herbivore community in an exclosure experiment and by manipulating early-season herbivory in a common garden field experiment replicated across four Brassicaceae species and two years, we tested whether early-season herbivory by caterpillars (<em>Pieris rapae)</em> or aphids (<em>Myzus persicae</em>) affected development, reproduction, and the herbivore communities associated with individual plants. In addition, we tested a causal hypothesis to assess the relative importance and temporal interplay between variation in herbivore communities and variation in plant development in determining plant reproduction. Early-season herbivory affected plant reproduction in the exclosure experiment, with effects being highly dependent on the plant species, the herbivore species, and the year. However, we found no such effects in the field experiment. The exploratory path analysis indicated that variation in plant reproduction is best predicted by variation in plant development, explaining 80% of the total effect on seed production. This suggests that early-season herbivory had limited effects on later plant development, and plants were able to attenuate the impact of early-season herbivory. However, no clear compensatory mechanism could be identified. While early-season herbivory has the potential to affect plant reproduction through changes in plant development or the subsequent development of the associated community, these effects were small and varied across closely related species. This suggests that plant species may be exposed to different levels of natural selection by early-season herbivores through plant- or community-mediated effects on reproduction.</p> </div>
Data from: Higher spatial than seasonal beta diversity of soil protists along elevation gradients
<p>This data package contain the data and R script to reproduce the analyses of the paper from Bruni <em>et al.</em> (in press).</p> <p>It contains:</p> <ul> <li><strong>protist_spatiotemporal_turnover_site_parameters.xlsx</strong>: the list of sites used in this study with their (label, location, geography coordinates, habitat, ENA project and sample accessions) and soil abiotic parameters. Abbreviations and units are as follows: Res_hum, residual humidity [%]; Org_mat, soil organic matter [%]; C_org, organic carbon [mg ∙ g-1]; N_org, organic nitrogen [mg ∙ g-1]; P_bio, bioavailable phosphate [mg ∙ g-1]; C_N_ratio, carbon org. / nitrogen org. ratio; N_P_ratio: nitrogen org. / phosphorus bioavailable ratio.</li> <li><strong>protist_spatiotemporal_turnover_data.RData</strong>: dataset in rda format (R core team, 2024) containing the ASV read's abundance per site matrix (object "mat"), the ASV taxonomic assignments (object "taxo"), the ASV sequences (object "asv") and the CRU-TS monthly climatic data corresponding to the sampled site's location and dates (object "cruts").</li> <li><strong>protist_spatiotemporal_turnover_analyses.R</strong>: R script to reproduce all analyses and figures of Bruni <em>et al.</em> (in press)</li> </ul> <p> </p> <p>References:</p> <p>Bruni, E. P., Lorite, J., Peñas, J., Mulot, M., Fournier, B., Vittoz, P., Mitchell, E. A. D., & Lentendu, G. (2024). Higher spatial than seasonal beta diversity of soil protists along elevation gradients. Frontiers of Biogeography, 17, 1–17. DOI:<a href="https://doi.org/10.21425/fob.17.132637">10.21425/fob.17.132637</a></p> <div> <div>R Core Team. (2024). <em>R: a language and environment for statistical computing</em> (4.2.2) R Foundation for Statistical Computing. <a href="https://www.r-project.org/">https://www.r-project.org/</a></div> </div>
Figure 12 in Seasonal analysis of Saturniidae (Insecta: Lepidoptera: Bombycoidea) in a remaining Atlantic Forest in the State of Espírito Santo, Brazil
Figure 12. Saturniinae subfamily found in the Vale Nature Reserve, Linhares, EspÍrito Santo, Brasil. Scale: 2 cm. / Subfamilia Saturniinae encontrado en la Reserva Natural Vale, Linhares, EspÍrito Santo, Brasil. A) Copaxa decrescens Walker, 1855. B) Rothschildia arethusa arethusa (Walker, 1855). C) Rothschildia aurota (Cramer, 1775). D) Rothschildia belus (Maassen, 1873). Escala 2 cm.
"Monthly velocity and seasonal variations of the Mont Blanc glaciers derived from Sentinel-2 between 2016-2024" - supplementary materials
<p>The repository contains the supplementary materials to be downloaded relative to the research article:</p> <p>“Monthly velocity and seasonal variations of the Mont Blanc glaciers derived from Sentinel-2 between 2016-2024” </p> <p>https://doi.org/10.5194/egusphere-2023-2771</p> <p>The available files are:</p> <p>-92 raster maps of monthly velocity of the study area.</p> <p>-Shapefiles whith the glacier outlines of the 30 studied glaciers.</p> <p>-Shapefiles of the velocity time series extraction areas.</p> <p>-Velocity time series 2016-2024 of the 30 glaciers from the study. </p>
A Seasonally Delayed Sea Ice Response and Arctic Amplification during the Last Glacial Inception
<p>Presented here is the datasets and corresponding codes used in creating Figures of the article "<strong><span>A Seasonally Delayed Sea Ice Response and Arctic Amplification during the Last Glacial Inception</span></strong>".</p>
Figure 7 in Within-tree distribution and seasonal dynamics of Eutetranychus banksi and Euseius stipulatus (Acari: Tetranychidae, Phytoseiidae) on citrus: Implications for the biological control of the pest
Figure 7 Mean proportion of phytoseiids per leaf outside or inside the canopy (a), on the adaxial or abaxial side of the leaves (b), white or red coloured (c), and collected on fruits (d), whenE. banksi occurred or was absent. Capped bars represent ± standard error (SE). Significant differences are denoted with asterisks. Chi square contingency test:P <0.001.
Figure 1 in Within-tree distribution and seasonal dynamics of Eutetranychus banksi and Euseius stipulatus (Acari: Tetranychidae, Phytoseiidae) on citrus: Implications for the biological control of the pest
Figure 1 Mean number ofE. banksi(a–d) and phytoseiid mites (e–h) per leaf or per cm2 of leaves and fruits. Capped bars represent ± standard error (SE). Bars with different letters are significantly different (Wilcoxon rank-sum test).
Figure 5 in Within-tree distribution and seasonal dynamics of Eutetranychus banksi and Euseius stipulatus (Acari: Tetranychidae, Phytoseiidae) on citrus: Implications for the biological control of the pest
Figure 5 (a–d) Representation of the binomial (logit-link) generalized linear models (GLMs) showing the relationship between the proportion
Figure 3 in Within-tree distribution and seasonal dynamics of Eutetranychus banksi and Euseius stipulatus (Acari: Tetranychidae, Phytoseiidae) on citrus: Implications for the biological control of the pest
Figure 3 Seasonal relative abundance of motile forms of phytoseiid species in four (2018) and six (2019) citrus orchards. Percentage of each species per sampling is represented. The summer decline
Figure 4 in Within-tree distribution and seasonal dynamics of Eutetranychus banksi and Euseius stipulatus (Acari: Tetranychidae, Phytoseiidae) on citrus: Implications for the biological control of the pest
Figure 4 Variation in the spatial distribution and body coloration of phytoseiid in relation to the abundanceE. of banksi in four (2018) and six (2019) citrus orchards. Grey bars indicate the percentage of phytoseiids collected outside the canopy, on the leaf adaxial sides, fruits occupied by phytoseiids, and red phytoseiids (primary y-axis), in relation with the mean numberE of. banksi per leaf or fruit represented as a solid line (secondary, y-axis). Capped bars represent ± standard error (SE).
Figure 2 in Within-tree distribution and seasonal dynamics of Eutetranychus banksi and Euseius stipulatus (Acari: Tetranychidae, Phytoseiidae) on citrus: Implications for the biological control of the pest
Figure 2 Seasonal trends ofE. banksi and phytoseiid mites on leaves (solid line, first y-axis) and fruits (broken line, second y-axis) in four and six citrus orchards in 2018 and 2019 respectively. Mean number of mites collected per sampling unit (all the stages were pooled together). Note that first and second y-axis scales are different. Mean (solid line), maximum and minimum daily temperatures in °C (broken lines) and mean daily relative humidity (RH) were represented.
Entia dome amphibolite AMS data (Low Field, High Field, 2017 field season)
<p>This data spreadsheet contains low-field AMS and high-field AMS measurements on amphibolite samples from the Entia Dome, central Australia, collected in the Summer of 2017. Low-field AMS data was collected on an AGICO MF1K kappabridge at the Institute for Rock Magnetism, at the University of Minnesota. High-field AMS data was collected on a torque magnetometer at the Laboratory of Natural Magnetism (LNM) at ETH Zürich.</p>
Fig. 1 in The longhorned beetles (Coleoptera: Cerambycidae) of Tennessee: distribution of species, seasonal adult activity, and new state records
Fig. 1. Longhorned beetle species tallied within each of the 95 Tennessee counties from collection records compiled for 230 species. Collection distribution is presented across ecoregions occurring within the western, middle, and eastern Grand Divisions of Tennessee (bold black lines). Across the Grand Divisions, county names presented in pale gray text are those from which no longhorned beetle species were collected or reported. Species tallies presented do not include county records reported in Jamerson (1973) that could not be substantiated with a specimen. Roman numerals (west to east) designate the ecoregions of Tennessee, where I corresponds with the Mississippi Alluvial Plain (ecoregion 73), II are the Mississippi Valley Loess Plains (ecoregion 74), III are the Southeastern Plains (ecoregion 65), IV is the Interior Plateau (ecoregion 71), V are the Southwestern Appalachians (ecoregion 68), VI are the Central Appalachians (ecoregion 69), VII are Ridges and Valleys (ecoregion 67), and VIII are the Blue Ridge Mountains (ecoregion 66) (afer Griffith et al. 1997). Full descriptions of the Tennessee ecoregions are available at: https://www.epa.gov/eco-research/ecoregion-download-files-state-region-3.
Fig. 1 a in Oviposition of AedeS japoNiCUS japoNiCUS (Diptera: Culicidae) and associated native species in relation to season, temperature and land use in western Germany
Fig. 1 a Study sites in the south of North Rhine-Westphalia, Germany in 2018. Forest types (different shades of green) follow Authorised Topographic-Cartographic Information System data [39]. b Details of study site Bonn SÜd, with three transects and their respective trap locations (different colours represent different land use types). See Additional file 2: dataset S1 for coordinates of trap locations. Background map from http:// www.openstreetmap.org (OpenStreetMap contributors). The map was produced with QGIS version 3.2
Fig. 2 in Oviposition of AedeS japoNiCUS japoNiCUS (Diptera: Culicidae) and associated native species in relation to season, temperature and land use in western Germany
Fig. 2 Setup of the transects. Trap locations range from oviposition habitat 1 (land use types—arable land, forest or settlement) through the transition zone into oviposition habitat 2 (land use types—forest, settlement or arable land). F100 Forest, 100 m from the transition zone; F10 forest, 10 m from the transition zone; F/S transition zone; S10 settlement, 10 m from the transition zone; S100 settlement, 100 m from the transition zone
Fig. 4 in Sipha maydis (Hemiptera: Aphididae) in the humid subtropical region of Brazil: distribution, seasonality and biology
Fig. 4. Survival rate (lx) and specific fertility (mx) of Sipha maydis on different host plants in Brazil.
Fig 3 in Sipha maydis (Hemiptera: Aphididae) in the humid subtropical region of Brazil: distribution, seasonality and biology
Fig 3. (A) Effects of average air temperature (°C) on occurrence of winged Sipha maydis in yellow tray traps. (B) Average estimated (red dot) occurrence probability of winged S. maydis per wk (shaded areas indicate the 95% confidence interval).
Fig. 2 in Sipha maydis (Hemiptera: Aphididae) in the humid subtropical region of Brazil: distribution, seasonality and biology
Fig. 2. Method to evaluate life history of Sipha maydis (Passerini, 1860) on different hosts. (A) Detail of the clip cage containing the nymphs attached to the leaf. (B) Overview of plants growing in pots with the cages containing the nymphs attached to the leaves.
Fig. 1 in Sipha maydis (Hemiptera: Aphididae) in the humid subtropical region of Brazil: distribution, seasonality and biology
Fig. 1. Map of Sipha maydis (Passerini, 1860) distribution in Brazil. Shaded area enclosed by blue squares indicates plant sampling area. Black dots indicate the places with occurrence of Sipha maydis. Red star indicates winged aphid monitoring area using yellow tray traps.
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.