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.
209
datasets available to search
ShareScore release 0.9.0
Dataset results
209 results for “Submergence”
Experimental flows through an array of emerged or slightly submerged square cylinders over a rough bed
<p>The experimental dataset was collected in an 18 m long and1 m wide laboratory flume.<br> An urbanised floodplain is modelled. The bed is rough, modelled with dense artificial grass. An array of square cylinders, representing housemodels, was set on the rough bed. The cylinder immersion rate was varied: cylinders are emerged for three flow cases<br> H/k = 42%, 93% and 98% (H water depth and k obstacle height) and slightly submerged for H/k = 148%.<br> This dataset comprises water, velocities across the channel and between y/(L/2) = 5 to 7 (L = 14.3 cm) measured using an Acoustic Doppler Velocimetry with a side looking probe, and velocities in longitudinal-vertical planes measured using Particle Image Velocimetry.</p> <p>This data set is explained in detail the following article :<br> Oukacine, M., Proust, S., Larrarte, F. <em>et al.</em> Experimental flows through an array of emerged or slightly submerged square cylinders over a rough bed. <em>Sci Data</em> <strong>8, </strong>6 (2021). <a href="https://doi.org/10.1038/s41597-020-00791-w">https://doi.org/10.1038/s41597-020-00791-w</a></p>
Data from: Identification of the submergence tolerance QTL come quick drowning1 (CQD1) in Arabidopsis thaliana
Global climate change is predicted to increase water precipitation fluctuations and lead to localized prolonged floods in agricultural fields and natural plant communities. Thus, understanding the genetic basis of submergence tolerance is crucial in order to improve plant survival under these conditions. In this study, we performed a quantitative trait locus (QTL) analysis in Arabidopsis to identify novel candidate genes for increased submergence tolerance by using Kas-1 and Col (gl1) parental accessions and their derived recombinant inbred lines (RILs). We measured survival after submergence in dark for a 13-day period and used median lethal time, LT50 values for the QTL analysis. A major QTL, the Come Quick, Drowning (CQD1) locus, was detected in 2 independent experiments on the lower arm of chromosome 5 involved in higher submergence tolerance in the parental accession Kas-1. For fine-mapping, we then constructed near isogenic lines (NILs) by backcrossing the CQD1 QTL region. We also analyzed QTL regions related to size, leaf number, flowering, or survival in darkness and none of the QTL related to these traits overlapped with CQD1. The submergence tolerance QTL, CQD1, region detected in this study includes genes that have potential to be novel candidates effecting submergence tolerance such as trehalose-6-phosphate phosphatase and respiratory burst oxidase protein D. Gene expression and functional analysis for these genes under submergence would reveal the significance of these novel candidates and provide new perspectives for understanding genetic basis of submergence tolerance.
Data from: Impact of temperature and nutrients on carbon: nutrient tissue stoichiometry of submerged aquatic plants: an experiment and meta-analysis
Human activity is currently changing our environment rapidly, with predicted temperature increases of 1–5°C over the coming century and increased nitrogen and phosphorus inputs in aquatic ecosystems. In the shallow parts of these ecosystems, submerged aquatic plants enhance water clarity by resource competition with phytoplankton, provide habitat, and serve as a food source for other organisms. The carbon:nutrient stoichiometry of submerged aquatic plants can be affected by changes in both temperature and nutrient availability. We hypothesized that elevated temperature leads to higher carbon:nutrient ratios through enhanced nutrient-use efficiency, while nutrient addition leads to lower carbon:nutrient ratios by the luxurious uptake of nutrients. We addressed these hypotheses with an experimental and a meta-analytical approach. We performed a full-factorial microcosm experiment with the freshwater plant Elodea nuttallii grown at 10, 15, 20, and 25°C on sediment consisting of pond soil/sand mixtures with 100, 50, 25, and 12.5% pond soil. To address the effect of climatic warming and nutrient addition on the carbon:nutrient stoichiometry of submerged freshwater and marine plants we performed a meta-analysis on experimental studies that elevated temperature and/or added nutrients (nitrogen and phosphorus). In the microcosm experiment, C:N ratios of Elodea nuttallii decreased with increasing temperature, and this effect was most pronounced at intermediate nutrient availability. Furthermore, higher nutrient availability led to decreased aboveground C:P ratios. In the meta-analysis, nutrient addition led to a 25, 22, and 16% reduction in aboveground C:N and C:P ratios and belowground C:N ratios, accompanied with increased N content. No consistent effect of elevated temperature on plant stoichiometry could be observed, as very few studies were found on this topic and contrasting results were reported. We conclude that while nutrient addition consistently leads to decreased carbon:nutrient ratios, elevated temperature does not change submerged aquatic plant carbon:nutrient stoichiometry in a consistent manner. This effect is rather dependent on nutrient availability and may be species-specific. As changes in the carbon:nutrient stoichiometry of submerged aquatic plants can impact the transfer of energy to higher trophic levels, these results suggest that eutrophication may enhance plant consumption and decomposition, which could in turn have consequences for carbon sequestration.
Figure 2 from: Shen H-W, Bao D-F, Boonmee S, Lu Y-Z, Su X-J, Li Y-X, Luo Z-L (2024) Diversity of Distoseptispora (Distoseptisporaceae) taxa on submerged decaying wood from the Red River in Yunnan, China. MycoKeys 102: 1-28. https://doi.org/10.3897/mycokeys.102.116096
Figure 2 Distoseptispora bambusae (HKAS 125826) a, b colonies on woody substrates c–e conidiophores f, g conidiogenous cells h–m conidia n germinated conidium o culture on PDA. Scale bars: 50 μm (c–e); 10 μm (f, g); 20 μm (h–n).
Figure 1 from: Shen H-W, Bao D-F, Boonmee S, Lu Y-Z, Su X-J, Li Y-X, Luo Z-L (2024) Diversity of Distoseptispora (Distoseptisporaceae) taxa on submerged decaying wood from the Red River in Yunnan, China. MycoKeys 102: 1-28. https://doi.org/10.3897/mycokeys.102.116096
Figure 1 Maximum likelihood (ML) tree is based on combined LSU, ITS, tef1-α and rpb2 sequence data. Bootstrap support values with a ML greater than 65% and Bayesian posterior probabilities (PP) greater than 0.95 are given above the nodes, shown as "ML/PP". The tree is rooted to Aquapteridospora fusiformis (MFLUCC 18–1606) and A. lignicola (MFLUCC 15–0377). New species are indicated in blue and type strains are in bold.
Figure 5 from: Shen H-W, Bao D-F, Boonmee S, Lu Y-Z, Su X-J, Li Y-X, Luo Z-L (2024) Diversity of Distoseptispora (Distoseptisporaceae) taxa on submerged decaying wood from the Red River in Yunnan, China. MycoKeys 102: 1-28. https://doi.org/10.3897/mycokeys.102.116096
Figure 5 Distoseptispora pachyconidia (HKAS 125824) a, b colonies on woody substrates c conidiophores e conidiophores with conidia d conidiogenous cells f, g conidia h germinated conidium i culture on PDA. Scale bars: 20 μm (c, d); 60 μm (e–h).
Figure 7 from: Shen H-W, Bao D-F, Boonmee S, Lu Y-Z, Su X-J, Li Y-X, Luo Z-L (2024) Diversity of Distoseptispora (Distoseptisporaceae) taxa on submerged decaying wood from the Red River in Yunnan, China. MycoKeys 102: 1-28. https://doi.org/10.3897/mycokeys.102.116096
Figure 7 Distoseptispora suae (ex-type culture KUNCC 22–12476) a culture on PDA, obverse (left) and reverse (right) b, c colonies on PDA d mycelium from PDA e mycelium, conidiophores and conidia f conidiophore g–j conidiophores with conidia (Arrow in i, j indicate the gelatinous sheath) k conidia. Scale bars: 10 μm (d); 40 μm (e); 20 μm (f–k).
Figure 4 from: Shen H-W, Bao D-F, Boonmee S, Lu Y-Z, Su X-J, Li Y-X, Luo Z-L (2024) Diversity of Distoseptispora (Distoseptisporaceae) taxa on submerged decaying wood from the Red River in Yunnan, China. MycoKeys 102: 1-28. https://doi.org/10.3897/mycokeys.102.116096
Figure 4 Distoseptispora obpyriformis (HKAS 125823) a, b colonies on woody substrates c conidiophores d, e conidiophores with conidia f conidiogenous cell g–j conidia k germinating conidium l culture on PDA. Scale bars: 30 μm (c–e, g–k); 20 μm (j).
Figure 6 from: Shen H-W, Bao D-F, Boonmee S, Lu Y-Z, Su X-J, Li Y-X, Luo Z-L (2024) Diversity of Distoseptispora (Distoseptisporaceae) taxa on submerged decaying wood from the Red River in Yunnan, China. MycoKeys 102: 1-28. https://doi.org/10.3897/mycokeys.102.116096
Figure 6 Distoseptispora suae (HKAS 125819, holotype) a, b colonies on woody substrates c–e conidiophores and conidiogenous cells f–k conidia l germinated conidium m culture on PDA. Scale bars: 10 μm (c–l).
Figure 3 from: Shen H-W, Bao D-F, Boonmee S, Lu Y-Z, Su X-J, Li Y-X, Luo Z-L (2024) Diversity of Distoseptispora (Distoseptisporaceae) taxa on submerged decaying wood from the Red River in Yunnan, China. MycoKeys 102: 1-28. https://doi.org/10.3897/mycokeys.102.116096
Figure 3 Distoseptispora euseptata (HKAS 125822) a colony on woody substrates b–e conidiophores f, g conidiogenous cells h–m conidia n germinated conidium o culture on PDA. Scale bars: 20 μm (b–e, h–n); 10 μm (f, g).
Figure 8 from: Shen H-W, Bao D-F, Boonmee S, Lu Y-Z, Su X-J, Li Y-X, Luo Z-L (2024) Diversity of Distoseptispora (Distoseptisporaceae) taxa on submerged decaying wood from the Red River in Yunnan, China. MycoKeys 102: 1-28. https://doi.org/10.3897/mycokeys.102.116096
Figure 8 Distoseptispora xinpingensis (HKAS 125818, holotype) a, b colonies on woody substrates c, d conidiophores e, f conidiogenous cells g–k conidia (Arrow in i–k indicate proliferating conidia) l germinating conidium m culture on PDA. Scale bars: 40 μm (c, d); 10 μm (e, f); 30 μm (g–l).
Data on global trends and drivers of submerged aquatic vegetation quantities in lakes
<p>This dataset describes trends and drivers of submerged aquatic vegetation quantities in lakes. The database was compiled through a literature synthesis and is the object of a published article. The sav_trend_dbstructure.png describes the database structure.</p> <p>The publication below detail the methodology used to assemble the dataset.</p> <p>Botrel, M. & R. Maranger. 2023. Global historical trends and drivers of submerged aquatic vegetation quantities in lakes. Global Change Biology. 29, 2493– 2509. <a href="https://doi.org/10.1111/gcb.16619">https://doi.org/10.1111/gcb.16619</a></p> <p> </p>
Drag force on submerged flexible vegetation in an open-channel flow
Open the record for dataset details and reuse information.
Data from: Changes in aspects of emergent and submerged vegetation cover, richness, and diversity in a fragmenting marsh system
<p><span><span><span><span><span><span><span><span><span><span><span>Habitat fragmentation is a global environmental challenge, and the marshes of southeastern Louisiana are a hotspot for habitat fragmentation. Evaluating marsh ecosystems during the transition from intact to fragmented is critical to predict future changes and inform effective conservation and restoration plans. We sampled three sites in Terrebonne Basin, Louisiana to characterize a fragmenting emergent-vegetation dominated system, investigate the relationship between plant species richness and diversity and marsh fragmentation, and determine the relationship between marsh fragmentation and cover of submerged aquatic vegetation (SAV). Emergent plant richness and diversity were higher in areas with low salinity and high surface elevation. Although these areas had relatively low fragmentation, there was no direct relationship between richness or diversity and measures of marsh fragmentation. Despite greater light availability in highly fragmented areas, SAV was restricted to areas with low fragmentation, suggesting light availability was not the factor limiting SAV colonization into open water areas. Results from this study highlight the complex interactions of geomorphological and biotic processes within a fragmenting marsh and suggest that physical drivers such as salinity and elevation are a better indicator of emergent plant community structure in this system than degree of fragmentation. </span></span></span></span></span></span></span></span></span></span></span></p>
Fig. 3 in Simple relationships to predict attributes of fish assemblages in patches of submerged macrophytes
Fig. 3. Relationships between macrophyte biomass and fish density (a) and species richness (b), in patches dominated by E. densa and E. najas.
Figure 2 from: Fournier J, Raja HA, Shearer CA (2015) Freshwater Ascomycetes: Jahnula purpurea (Jahnulales, Dothideomycetes), a new species on submerged wood from Martinique Island, Lesser Antilles. MycoKeys 9: 1-8. https://doi.org/10.3897/mycokeys.9.4440
Figure 2 - G–I Clavate to obclavate asci. J, K Ascus apex showing faint truncate ocular chamber L Pseudoparaphyses M–N Multiguttulate brown ascospores. Note ascospores showing minutely verrucose warts forming a loose reticulate pattern O Immature ascospore in India ink. Scale bars: G–I, M = 20 µm; J–L = 5 µm; N, O = 10 µm.
Figure 1 from: Fournier J, Raja HA, Shearer CA (2015) Freshwater Ascomycetes: Jahnula purpurea (Jahnulales, Dothideomycetes), a new species on submerged wood from Martinique Island, Lesser Antilles. MycoKeys 9: 1-8. https://doi.org/10.3897/mycokeys.9.4440
Figure 1 - A–F Jahnula purpurea (from the HOLOTYPE; MJF 14016, ILLS 72402). A–C Ascomata on submerged wood. Note the purple stain. Arrowheads indicate the subtending superficial hyphae on wood, which connect multiple ascomata on wood D Ascoma in water showing broad hyphae emerging from the base of the fruiting body E, F Longitudinal section through ascoma. Note broad pseudoparenchymatic cells comprising the peridial wall. Scale bars: A, C = 500 µm; B = 1 mm; D = 100 µm; E–F = 20 µm;
Fig. 2 in Transcriptome profiling of two Dactylis glomerata L. cultivars with different tolerance in response to submergence stress
Fig. 2. Venn diagram of differentially expressed genes (DEGs).
Data from: Integrated biomarker responses of the submerged macrophyte Vallisneria spiralis via hydrological processes from Lake Poyang, China
Open the record for dataset details and reuse information.
Data from: The features of muscle activity during chair standing and sitting motion in submerged condition
Open the record for dataset details and reuse information.
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.