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ShareScore release 0.9.0
Dataset results
5 results for “multispecies experiments”
Data from: Lagged climate-driven range shifts at species’ leading, but not trailing, range edges revealed by multispecies seed addition experiment
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Data for Liana litter decomposes faster than tree litter in a multispecies and multisite experiment
<p><span>1.</span><span> Lianas account for a small fraction of forest biomass, but their contribution to leaf or litter biomass and thus to food webs can be substantial. Globally liana exhibit fast life history traits. Thus liana litter may decompose faster than tree litter, and could enhance decomposition of tree litter (complementarity effect). The differences in decomposition may also vary with mesofauna access or across forest communities. The contribution of these factors to nutrient biogeochemical cycling is poorly understood. </span></p> <p><span>2.</span><span> We examined the decomposition of litter of 20 liana and 20 tree species of three different tropical forest communities in southern China, over one year. (i) We incubated the litter in bags with coarse and fine mesh to distinguish mesofaunal and microfaunal effects. (ii) We used single-species litter bags to compare decomposition rates of lianas and trees, to test which functional traits best explained decomposition, and whether those traits differed between lianas and trees, and among forest types. (iv) We used mixed-species litter bags to test whether liana litter enhances decomposition in litter mixtures. (v) We evaluated how leaf litter nutrients decayed in relation to litter mass.</span></p> <p><span>3.</span><span> Litter decayed faster in coarse mesh than fine mesh bags, but there was no interaction effect with forest type or growth form. Liana litter decayed faster than tree litter in single species bags with mesofauna access and in mixed bags (liana-only mix, tree-only mix) without mesofauna. Lianas had higher nitrogen content and specific leaf area and lower leaf dry matter content (LDMC) and toughness than trees. Decomposition rate was significantly negatively related to LDMC. Litter of evergreen broadleaved (EBL) forest decomposed slower than that of other forest types. Liana litter did not enhance the decomposition of tree litter in mixtures. Liana litter released calcium slightly faster than trees.</span></p> <p><span>Synthesis</span><span>: Leaf litter decomposes faster for lianas than trees, despite high variability of traits and decomposition rates within each growth form and overlap between growth forms, and we found no evidence for the complementarity hypothesis. Our study sheds light on the potential role of lianas within brown food webs and their importance on terrestrial biogeochemistry. </span></p>
HiPR-FISH Multispecies Experiment
<p>This dataset contains spectral images of a HiPR-FISH multispecies experiment.</p>
Data for Liana litter decomposes faster than tree litter in a multispecies and multisite experiment
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Data from: Genetic differentiation and regional adaptation among seed origins used for grassland restoration: lessons from a multispecies transplant experiment
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ScienceDex guides
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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.