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.
10
datasets available to search
ShareScore release 0.9.0
Dataset results
10 results for “substrate quality”
Data from: Fungal and beetle diversity in deciduous fine woody debris in spruce-dominated forests in relation to substrate quantity and quality
Open the record for dataset details and reuse information.
Substrate quality and not dominant plant community determines the vertical distribution and C assimilation of enchytraeids in peatlands
Open the record for dataset details and reuse information.
Substrate quality drives fungal necromass decay and decomposer community structure under contrasting vegetation types
<p>1. Fungal mycelium is increasingly recognized as a central component of soil biogeochemical cycling, yet our current understanding of the ecological controls on fungal necromass decomposition is limited to single sites and vegetation types.</p> <p>2. By deploying common fungal necromass substrates in a temperate oak savannah and hardwood forest in the midwestern USA, we assessed the generality of the rate at which high- and low-quality fungal necromass decomposes; further, we investigated how the decomposer 'necrobiome' varies both across and within sites under vegetation types dominated by either arbuscular (AM) or ectomycorrhizal (EM) plants.</p> <p>3. The effects of necromass quality on decay rate were robust to site and vegetation type differences, with high-quality fungal necromass decomposing, on average, 2.5 times faster during the initial stages of decay. Across vegetation types, bacterial and fungal communities present on decaying necromass differed from bulk soil microbial communities and were influenced by necromass quality. Moulds, yeasts and copiotrophic bacteria consistently dominated the necrobiome of high-quality fungal substrates.</p> <p>4. Synthesis: We show that regardless of differences in decay environments, high-quality fungal substrates decompose faster and support different types of decomposer microorganisms when compared with low-quality fungal tissues. These findings help to refine our theoretical understanding of the dominant factors affecting fast cycling components of soil organic matter (SOM) and the microbial communities associated with rapid decay.</p>
Data from: Effect of larval density and substrate quality on the wing geometry of Stomoxys calcitrans L. (Diptera: Muscidae)
Background: In insects, oviposition decisions may lead to egg deposition in substrates with different larval density and nutritional levels. Individuals developing in such substrates may present plasticity in their phenotype. Here, we investigated the effect of two factors related to oviposition decisions, namely larval density and substrate quality, on the wing size and wing shape of the stable fly, Stomoxys calcitrans L. (Diptera: Muscidae). Methods: We reared S. calcitrans larvae at different densities (5, 15 and 25) and on different substrates (camel, cow, donkey and sheep dung). For each fly that emerged, we recorded body weight, and detached, slide-mounted and photographed the right wing. Next, we collected 15 landmarks on each photographed wing, and applied geometric morphometric analysis to assess variation in wing size and wing shape of S. calcitrans across the different larval densities and substrate types. Results: We observed that wing size and wing shape of S. calcitrans were affected by larval density and the nature of the developmental substrate. Flies reared in a group of 5 had larger wing centroid size, wing length, wing width, wing area and wing loading compared with those reared in a group of 25. Also, flies developed in donkey and sheep dung had larger wing centroid size, wing length, wing width, wing area and wing loading in comparison with those grown in camel and cow dung. Canonical variate analysis followed by discriminant analysis revealed significant wing shape variation in S. calcitrans across the different densities and substrates. Wing size had a significant but weak positive effect on wing shape. Conclusions: This study demonstrates the high sensitivity of S. calcitrans wings to variation in larval density and developmental substrate, and that use of landmark-based geometric morphometric analysis could improve our understanding of how flies of veterinary importance respond to environmental variability.
Morphological, Structural and Functional Neural Substrates of Quality of Life in Schizophrenia
ClinicalTrials.gov study NCT01295411. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Effect of larval density and substrate quality on the wing geometry of Stomoxys calcitrans L. (Diptera: Muscidae)
Open the record for dataset details and reuse information.
Substrate quality drives fungal necromass decay and decomposer community structure under contrasting vegetation types
Open the record for dataset details and reuse information.
Substrate discrimination and quality control require each catalytic activity of TRAMP and the nuclear RNA exosome
GEO Series GSE160368. Saccharomyces cerevisiae. 6 samples. Type: Expression profiling by high throughput sequencing.
Analyses of endogenous rna substrates of xrn and exosome and ptgs pathways; Integrating RNA Quality Control and RNA Silencing Pathways
GEO Series GSE48192. Arabidopsis thaliana. 60 samples. Type: Expression profiling by array.
Quantitative glycoproteomics reveals cellular substrate selectivity of the endoplasmic reticulum protein quality control sensors UGGT1 and UGGT2
GEO Series GSE162262. Homo sapiens. 60 samples. Type: Expression profiling by high throughput sequencing.
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.