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.
851
datasets available to search
ShareScore release 0.7.1
Dataset results
851 results for “turnover”
Data from: The effect of drainage on the fine root biomass, production, and turnover in hemiboreal old-growth forests on organic soils
Open the record for dataset details and reuse information.
Opposing patterns of altitude-driven pollinator turnover in the tropical and temperate Americas
Open the record for dataset details and reuse information.
The turnover of plant-frugivore interactions along plant range expansion: consequences for natural colonisation processes
Open the record for dataset details and reuse information.
Data from: Trait networks reveal turnover in Caribbean corals and changes in community resilience through the Cenozoic
Open the record for dataset details and reuse information.
Data from: Rapid turnover of a pea aphid superclone mediated by thermal endurance in central Chile
Open the record for dataset details and reuse information.
Data from: Plant taxonomic turnover and diversity across the Cretaceous-Paleogene boundary in northeastern Montana
Open the record for dataset details and reuse information.
Data from: The mechanism of promoting rhizosphere nutrient turnover for arbuscular mycorrhizal fungi attribute to recruited functional bacterial assembly
Open the record for dataset details and reuse information.
Functional beta diversity of New Zealand fishes: characterising morphological turnover along depth and latitude gradients, with derivation of functional bioregions
Open the record for dataset details and reuse information.
Sustained mangrove reproduction despite major turnover in pollinator community composition at expanding range edge
Open the record for dataset details and reuse information.
Data from: Drivers of global pre-industrial patterns of species turnover in planktonic foraminifera
Open the record for dataset details and reuse information.
Stability of patch-turnover relationships under equilibrium and nonequilibrium metapopulation dynamics driven by biogeography
Open the record for dataset details and reuse information.
Vanadium nitrogenase - anomalous maps for resting and turnover states
<p>The data set contains anomalous difference electron density maps (in CCP4 format) for two published crystal structures of <em>Azotobacter vinelandii</em> vanadium-dependent nitrogenase. These are:</p> <p>1. VFe protein - resting state. <strong>PDB-ID 5N6Y</strong>. Sippel <em>et al. </em>(2017) <em><strong>Nature Chem. Biol.</strong></em> 13, 956-960. DOI: 10.1038/Nchembio.2428</p> <p>2. VFe protein - turnover state. <strong>PDB-ID 6FEA</strong>. Sippel et al. (2018) <em><strong>Science</strong></em> 359, 1484-1489. DOI: 10.1126/science.aar2765</p> <p>For each deposition, the maps provided are calculated with anomalous differences as Fourier coefficients, to 1.9 Å or 2.0 Å resoution, respectively. Depending on energies of data collection, these maps were used to visualize:</p> <p>12398 eV - anomalous contirbution of iron ions</p> <p>7000 eV - anomalous contribution of sulfur atoms (with strong contribution of V)</p> <p>6200 eV - improved signal for S/Fe and S/V, respectively (not shown in publications).</p>
The biotic interactions hypothesis partially explains bird species turnover along a lowland Neotropical precipitation gradient
<p><span><span><span><span><span><span><span><span><span><span><span><b>Aim</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>We evaluated the influence of climate in determining bird communities along precipitation gradients. We argue that mechanisms responsible for community turnover along precipitation gradients are similar to mechanisms operating along temperature and latitudinal gradients. We test the hypothesis that environmental conditions affect community composition in dry forests, whereas biotic interactions affect community composition in wet forests.</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>Location</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>Low-elevation forests along a precipitation gradient in Colombia where precipitation ranges from 700 – 4000 mm annually but neither temperature or elevation change.</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>Time period</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>Present day</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>Major Taxa Studied</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>Tropical Forest Birds.</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>We performed 291 bird counts in nine study areas across the ~3000 mm range of variation in precipitation. In each locality we obtained climatic characteristics, and a phylogenetic, morphological and physiological proxy data set to test predictions about the evolutionary relationships and distribution of traits in each community. </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>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>Bird communities changed abruptly along the precipitation gradient and could be divided into dry and wet forest communities. Analyses of phylogenetic relationships, trait space, and observations at nests suggested that environmental filtering is more important in dry forest, especially for breeding. In contrast, we found little evidence that competition was more important in wet forest. Nest predation or competition for nest space, however, may be more critical in wetter forests.</span></span></span></span></span></span></span></span></span></span></span></p> <p class="author"><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>The two distinct bird communities we documented suggest that lowland precipitation gradients, where temperature is constant can be as important as temperature gradients in generating high beta diversity. We conclude that the breeding process in bird communities might be crucial for determining community assembly along environmental gradients. Given that recent population declines in tropical birds have been attributed to changes in precipitation, by understanding the mechanisms underlying community assembly along precipitation gradients our study may improve our ability to understand those declines and predict the effects of climate change on neotropical avifauna.</span></span></span></span></span></span></span></span></span></span></span></p>
Species redistribution combined with invasive dominance but not species turnover promotes biotic homogenization following invasion
<p>Disentangling the processes lead to biotic homogenization is important and will guide conservation efforts. Temporal turnover in species composition (i.e., β-diversity) and changes in local α-diversity are two distinct processes drive biotic homogenization, but these effects may be masked by invasive dominance. After removing invasive dominance, we compared the changes in species diversity and species distribution patterns before and after invasion aims to measure the relative contribution of species turnover and local diversity changes to biological homogenization. Invasive dominance indeed had an important contribution to biotic homogenization, and the effects increased with an increase in the invasive species number. Species composition of native plots was not significantly different from invaded plots when removing invasive species. Invasion changed native species distribution patterns and promoted the wide spread of most species, which causes an increase in local richness and community evenness. We highlight that species redistribution combined with invasive dominance but not species turnover promotes biotic homogenization, especially at early invasion stages. Avoiding the ecological impacts of biotic homogenization following invasion will require much stronger proactive management to prevent invasive dominance as well as increase monitoring at the early stages of invasion.</p>
Data from: Taxonomic and functional turnover are decoupled in European peat bogs
In peatland ecosystems, plant communities mediate a globally significant carbon store. The effects of global environmental change on plant assemblages are expected to be a factor in determining how ecosystem functions such as carbon uptake will respond. Using vegetation data from 56 Sphagnum-dominated peat bogs across Europe, we show that in these ecosystems plant species aggregate into two major clusters that are each defined by shared response to environmental conditions. Across environmental gradients, we find significant taxonomic turnover in both clusters. However, functional identity and functional redundancy of the community as a whole remain unchanged. This strongly suggests that in peat bogs, species turnover across environmental gradients is restricted to functionally similar species. Our results demonstrate that plant taxonomic and functional turnover are decoupled, which may allow these peat bogs to maintain ecosystem functioning when subject to future environmental change.
Data from: Interaction rewiring and the rapid turnover of plant-pollinator networks
Whether species interactions are static or change over time has wide-reaching ecological and evolutionary consequences. However, species interaction networks are typically constructed from temporally aggregated interaction data, thereby implicitly assuming that interactions are fixed. This approach has advanced our understanding of communities, but it obscures the timescale at which interactions form (or dissolve) and the drivers and consequences of such dynamics. We address this knowledge gap by quantifying the within-season turnover of plant–pollinator interactions from weekly censuses across 3 years in a subalpine ecosystem. Week-to-week turnover of interactions (1) was high, (2) followed a consistent seasonal progression in all years of study and (3) was dominated by interaction rewiring (the reassembly of interactions among species). Simulation models revealed that species' phenologies and relative abundances constrained both total interaction turnover and rewiring. Our findings reveal the diversity of species interactions that may be missed when the temporal dynamics of networks are ignored.
Data from: The Chord-Normalized Expected Species Shared (CNESS)-distance represents a superior measure of species turnover patterns
<p>1. Measures of β-diversity characterizing the difference in species composition between samples are commonly used in ecological studies. Nonetheless, commonly used dissimilarity measures require high sample completeness, or at least similar sample sizes between samples. In contrast, the Chord-Normalized Expected Species Shared (CNESS) dissimilarity measure calculates the probability of collecting the same set of species in random samples of a standardized size, and hence is not sensitive to completeness or size of compared samples. To date, this index has enjoyed limited use due to difficulties in its calculation and scarcity of studies systematically comparing it with other measures.</p> <p>2. Here, we developed a novel R function that enables users to calculate ESS (Expected Species Shared)-associated measures. We evaluate the performance of the CNESS index based on simulated datasets of known species distribution structure, and compared CNESS with more widespread dissimilarity measures (Bray-Curtis index, Chao-Sørensen index, and proportionality based Euclidean distances) for varying sample completeness and sample sizes.</p> <p>3. Simulation results indicated that for small sample size (m) values, CNESS chiefly reflects similarities in dominant species, while selecting large m values emphasizes differences in the overall species assemblages. Permutation tests revealed that CNESS has a consistently low CV (coefficient of variation) even where sample completeness varies, while the Chao-Sørensen index has a high CV particularly for low sampling completeness. CNESS distances are also more robust than other indices with regards to undersampling, particularly when chiefly rare species are shared between two assemblages.</p> <p>4. Our results emphasize the superiority of CNESS for comparisons of samples diverging in sample completeness and size, which is particularly important in studies of highly mobile and species-rich taxa where sample completeness is often low. Via changes in the sample size parameter m, CNESS furthermore cannot only provide insights into the similarity of the overall distribution structure of shared species, but also into the differences in dominant and rare species, hence allowing additional, valuable insights beyond the capability of more widespread measures.<br> </p>
Data from: Environmental variation is a major predictor of global trait turnover in mammals
Aim: To evaluate how environment and evolutionary history interact to influence global patterns of mammal trait diversity (a combination of 14 morphological and life-history traits). Location: The global terrestrial environment. Taxon: Terrestrial mammals. Methods: We calculated patterns of spatial turnover for mammalian traits and phylogenetic lineages using the mean nearest taxon distance. We then used a variance partitioning approach to establish the relative contribution of trait conservatism, ecological adaptation and clade specific ecological preferences on global trait turnover. Results: We provide a global scale analysis of trait turnover across mammalian terrestrial assemblages, which demonstrates that phylogenetic turnover by itself does not predict trait turnover better than random expectations. Conversely, trait turnover is consistently more strongly associated with environmental variation than predicted by our null models. The influence of clade-specific ecological preferences, reflected by the shared component of phylogenetic turnover and environmental variation, was considerably higher than expectations. Although global patterns of trait turnover are dependent on the trait under consideration, there is a consistent association between trait turnover and environmental predictive variables, regardless of the trait considered. Main conclusions: Our results suggest that changes in phylogenetic composition are not always coupled with changes in trait composition on a global scale and that environmental conditions are strongly associated with patterns of trait composition across species assemblages, both within and across phylogenetic clades.
7,000 years of turnover: historical contingency and human niche construction shape the Caribbean's Anthropocene biota
The human-mediated movement of species across biogeographic boundaries—whether intentional or accidental—is dramatically reshaping the modern world. Conservation biologists are grappling with the present-day effects of these introductions, but humans have in fact been reshaping ecosystems and translocating species for millennia. Acknowledging the effects of human-mediated species introductions through time is important for understanding present-day biodiversity loss, ecosystem functioning, and management needs. Here, we present the first database of terrestrial vertebrate species introductions spanning the entire anthropogenic history of a system. This ~7,000 year Caribbean dataset allows us to assess the roles of historical contingency and priority effects in shaping present-day conservation outcomes. We analyzed the spatial and temporal dynamics of species introductions in the context of cultural practices and human population histories spanning Indigenous, colonial, and modern human societies. We highlight how serial human colonization contributed to habitat modifications and species extinctions that then shaped subsequent species introductions by other human groups, altering ecosystem processes dramatically. We quantify how the taxonomic and biogeographical diversity of species introductions increases over time, reflecting diversifying reasons for species introductions. Importantly, we use the record to highlight gaps in the archaeological record, ongoing management challenges, and research opportunities in today's Caribbean biota.
Data from: Opportunistic data reveal widespread species turnover in Enallagma damselflies at biogeographical scales
An information tradeoff exists between systematic presence/absence surveys and purely opportunistic (presence-only) records for investigating the geography of community structure. Opportunistic species occurrence data may be of relatively limited quality, but typically involves numerous observations and species. Given the quality-quantity tradeoff, what can opportunistic data reveal about spatial patterns in community structure? Here we explore opportunistic data in describing geographic patterns of species composition, using over 4,600 occurrence records of Enallagma damselflies in the United States. We tested phylogenetic scale (genus level, Enallagma major clades, Enallagma subclades) and spatial extent (U.S. vs. watershed regions), hypothesizing that nonrandom structure is more likely at larger spatial extents. We also used three sets of systematic presence/absence surveys as a benchmark for validating opportunistic presence-only records. Null model analysis of matrix coherence and species replacements showed many cases of nonrandom structure and widespread species turnover. This outcome was repeated across spatial and environmental gradients and community composition scenarios. Turnover dominated across the U.S. and two watersheds spanning biogeographic boundaries, but random assemblages were prevalent in a third watershed with limited longitudinal extent. Turnover also pervaded each level of phylogeny. Opportunistic presence-only datasets showed identical patterns as systematic presence/absence datasets. These results indicate that extensive opportunistic data can be used to detect species turnover, especially at geographic scales where range margins are crossed.
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.