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.
121
datasets available to search
ShareScore release 0.7.1
Dataset results
121 results for “herbaceous plant”
Data from: Trait correlation network analysis identifies biomass allocation traits and stem specific length as hub traits in herbaceous perennial plants
Open the record for dataset details and reuse information.
Effects of different moose browsing pressures on the succession of plant communities within the herbaceous and saplings layers of a boreal forest
Open the record for dataset details and reuse information.
Data from: β-diversity of herbaceous versus woody plant communities across a tropical rainfall gradient
Open the record for dataset details and reuse information.
Data from: Comparing herbaceous plant communities in active and passive riparian restoration
Open the record for dataset details and reuse information.
Data from: Drivers of vegetative dormancy across herbaceous perennial plant species
Open the record for dataset details and reuse information.
Data from: Scaling of shoot and root respiration of woody and herbaceous plants
Open the record for dataset details and reuse information.
Soil organic matter responses to nutrient enrichment in the Nutrient Network:Nutrient Network. A cross-site investigation of bottom-up control over herbaceous plant community dynamics and ecosystem function.
This experiment is one implementation of a globally distributed experiment, known as the Nutrient Network. At Cedar Creek, as in over 70 other sites in grasslands around the world, the experiment aims to describe impacts of increased nutrients (nitrogen, phosphorus, potassium, sulfur and other metals) and decreased herbivory (removal of mammals by fencing). Two overarching questions are being explored with these manipulations: 1. To what extent are plant production and diversity co-limited by multiple nutrients in herbaceous-dominated communities? 2. Under what conditions do grazers or fertilization control plant biomass, diversity, and composition? By utilizing identical protocols at diverse grassland sites around the world, NutNet aims to uncover both the generalities in ecosystem functioning, and the contingencies or differences which can obscure those common mechanisms. In addition to the standard NutNet protocol, e247 includes an additional low Nitrogen gradient (1 gram Nitrogen per meter squared per year and 5 grams Nitrogen per meter squared per year in addition to the standard 10 grams Nitrogen per meter squared per year).
Soil nutrient analysis:Nutrient Network. A cross-site investigation of bottom-up control over herbaceous plant community dynamics and ecosystem function.
This experiment is one implementation of a globally distributed experiment, known as the Nutrient Network. At Cedar Creek, as in over 70 other sites in grasslands around the world, the experiment aims to describe impacts of increased nutrients (nitrogen, phosphorus, potassium, sulfur and other metals) and decreased herbivory (removal of mammals by fencing). Two overarching questions are being explored with these manipulations: 1. To what extent are plant production and diversity co-limited by multiple nutrients in herbaceous-dominated communities? 2. Under what conditions do grazers or fertilization control plant biomass, diversity, and composition? By utilizing identical protocols at diverse grassland sites around the world, NutNet aims to uncover both the generalities in ecosystem functioning, and the contingencies or differences which can obscure those common mechanisms. In addition to the standard NutNet protocol, e247 includes an additional low Nitrogen gradient (1 gram Nitrogen per meter squared per year and 5 grams Nitrogen per meter squared per year in addition to the standard 10 grams Nitrogen per meter squared per year).
Field-based individual plant phenotyping of herbaceous species by unmanned aerial vehicle
<p>1. Recent advances in Unmanned Aerial Vehicle (UAVs) and image processing have made high-throughput field phenotyping possible at plot/canopy level in the mass grown experiment. Such techniques are now expected to be used for individual level phenotyping in the single grown experiment.</p> <p>2. We found two main challenges of phenotyping individual plants in the single grown experiment: plant segmentation from weedy backgrounds and the estimation of complex traits that are difficult to measure manurally.</p> <p>3. In this study, we proposed a methodological framework for field-based individual plant phenotyping by UAV. Two contributions, which are weed elimination for individual plant segmentation, and complex traits (volume and outline) extraction, have been developed. The framework demonstrated its utility in the phenotyping of<i> Helianthus tuberosus</i>(Jerusalem artichoke), an herbaceous perennial plant species.</p> <p>4. The proposed framework can be applied to either small and large scale phenotyping experiments.</p>
Association of leaf silicon content with chronic wind exposure across and within herbaceous plant species
<p class="AbstractSummaryCxSpFirst"><b>Aim:</b> High foliar silicon (henceforth Si) concentration protects plant tissues against herbivory but protection against several abiotic stressors has been proposed too, though the adaptive significance of these functions is still being debated. We aimed to explore the potential relationships between foliar Si content and chronic wind exposure across a large scale and multiple species, and analyze an overlooked alternative or complementary function of silicon in leaves: mechanical protection against wind.</p> <p class="AbstractSummaryCxSpMiddle"><b>Location:</b> Mainland China.</p> <p class="AbstractSummaryCxSpMiddle"><b>Time period:</b> From July to September during 2012–2014.</p> <p class="AbstractSummaryCxSpMiddle"><b>Major taxa studied:</b> 282 vascular plant species in predominantly herbaceous communities.</p> <p class="AbstractSummaryCxSpMiddle"><b>Methods:</b> We compiled a dataset for leaf silicon concentration [Si] across 27 sites and 153 herbaceous plots comprising the major climate zones of China. We hypothesized that evolutionary lineages that generally have high [Si] should show positive relationships between leaf [Si] and mean annual wind speed.</p> <p class="AbstractSummaryCxSpMiddle"><b>Results:</b> Within major families with generally high [Si] (especially grasses, sedges and composites), leaf [Si] is consistently positively correlated with mean wind speed among species across China. For the seven widespread monocot species with high leaf [Si], including the globally widely distributed common reed (<i>Phragmites australis</i>), intraspecific variation in leaf [Si] follows the same consistent positive correlation with mean wind speed.</p> <p class="AbstractSummaryCxSpMiddle"><b>Main conclusions</b>: Our findings suggest high leaf [Si] is likely to have widespread adaptive value for wind exposure of leaves, at least in several very widespread families and species of herbaceous plants. Damage from wind is a danger for plants in many ecosystems, and hence these findings are of global significance and indicate further research into large scale variation of leaf Si and mechanical traits in relation to wind exposure will likely be illuminating.</p>
Data from: Testing the plant growth-defense hypothesis belowground: do faster-growing herbaceous plant species suffer more negative effects from soil biota than slower-growing ones?
According to the growth-defense hypothesis in ecology, faster-growing plant species should suffer more from herbivores and pathogens than slower-growing species. Tests of this hypothesis have focused on aboveground plant tissues, herbivores, and pathogens; however, it should also apply to root defense. To test whether faster-growing species suffer more negatively from soil biota than slower-growing species, we estimated first-season growth rates of 34 herbaceous plant species and used weighted linear regressions to assess the relationship between growth rates and responses to being grown in sterilized versus unsterilized soil (biotic soil effects) and to growing in soil previously occupied by conspecifics versus a mixture of species (conspecific soil effects). We found a negative relationship between relative growth rate and biotic soil effects, with slower-growing species tending to suffer less or even benefit from the presence of soil biota, while faster-growing species were more negatively affected. Biotic soil effects were also negatively related to size-corrected growth rates. These relationships remained negative after accounting for influential species, but a large amount of variation remained unexplained. Moreover, there was no clear relationship between growth rates and conspecific soil effects. A simple relationship between growth and defense aboveground may not be so clearly reflected belowground because of the many interacting antagonistic and mutualistic organisms likely involved.
Data from: Contrasting nitrogen cycling between herbaceous wetland and terrestrial ecosystems inferred from plant and soil nitrogen isotopes across China
<p><span>Understanding nitrogen (N) cycling in different ecosystems is crucial to predicting and mitigating the global effects of altered N inputs. Although wetlands have always been assumed to differ largely from terrestrial ecosystems in N cycling, evidence from direct comparison from the field along wide environmental gradients is lacking. Here, we hypothesized strong coupling of plant and soil δ<sup>15</sup>N in terrestrial ecosystems due to lower N inputs and losses but weak coupling of plant and soil δ<sup>15</sup>N in wetlands because of higher N inputs and losses.</span></p> <p><span>We performed a large-scale field investigation on 26 pairs of herbaceous wetland and terrestrial sites across China covering 21 degrees of latitude and determined natural abundance of nitrogen isotopes (δ<sup>15</sup>N) in soils and leaves of 346 dominant and subordinate plant species. We analysed the relationships between leaf and soil δ<sup>15</sup>N and their drivers including plant functional types in these two types of ecosystems.</span></p> <p><span>Plant functional types including mycorrhizal type and N2-fixing status had consistently significant influences on leaf δ<sup>15</sup>N in herbaceous wetland and terrestrial ecosystems. Leaf δ<sup>15</sup>N increased significantly with soil δ<sup>15</sup>N within and across mycorrhizal types in both ecosystems, and, as hypothesized, the relationships were stronger and steeper in terrestrial than in wetland ecosystems. Moreover, leaf and soil δ<sup>15</sup>N were positively and significantly correlated within both N<sub>2</sub>-fixers and non-fixers in terrestrial ecosystems and within only non-N<sub>2</sub>-fixers in wetlands. At the community level, we also found more highly significant relationships between leaf and soil δ<sup>15</sup>N in terrestrial than in wetland ecosystems. Besides plant functional types, climatic and soil factors contributed to the variation in leaf δ<sup>15</sup>N in both ecosystems.</span></p> <p><span><em>Synthesis.</em> Weaker relationships between plant and soil δ<sup>15</sup>N in wetlands at species and community levels supports the hypothesis that larger N inputs and losses lead to weaker coupling in the plant-soil systems in wetlands than in terrestrial ecosystems. This provides strong evidence from a large spatial scale for contrasting N cycling in these two types of ecosystems regardless of plant functional type in terms of nutrient uptake strategy. Our findings add to our predictive power of ecosystem N dynamics under environmental changes, e.g. land-use changes and elevated N inputs.</span></p>
Fig. 2 in Spatial pattern of a fish assemblage in a seasonal tropical wetland: effects of habitat, herbaceous plant biomass, water depth, and distance from species sources
Fig. 2. Distribution of the relative abundance of the 49 species of fish captured in the 22 plots in Site of Long-Term Sampling (SLTS), related to the depth at each of the collection plots.
FIGURE 9 in Metriocnemus erythranthei sp. nov. and Limnophyes viribus sp. nov. (Diptera: Chironomidae: Orthocladiinae): leafminers of monkeyflowers, speedwells, and other herbaceous plants, with new observations on the ecology and habitats of other leaf-mining Chironomidae
FIGURE 9. Limnophyes viribus sp. nov., male (a–d). a. tentorium; b. thorax; c. wing; d. hypopygium.
Field‐based individual plant phenotyping of herbaceous species by unmanned aerial vehicle
Open the record for dataset details and reuse information.
Data from: Testing the plant growth-defense hypothesis belowground: do faster-growing herbaceous plant species suffer more negative effects from soil biota than slower-growing ones?
Open the record for dataset details and reuse information.
Data from: Contrasting nitrogen cycling between herbaceous wetland and terrestrial ecosystems inferred from plant and soil nitrogen isotopes across China
Open the record for dataset details and reuse information.
Association of leaf silicon content with chronic wind exposure across and within herbaceous plant species
Open the record for dataset details and reuse information.
Mechanisms driving the soil organic matter decomposition response to nutrient enrichment:Nutrient Network. A cross-site investigation of bottom-up control over herbaceous plant community dynamics and ecosystem function.
This experiment is one implementation of a globally distributed experiment, known as the Nutrient Network. At Cedar Creek, as in over 70 other sites in grasslands around the world, the experiment aims to describe impacts of increased nutrients (nitrogen, phosphorus, potassium, sulfur and other metals) and decreased herbivory (removal of mammals by fencing). Two overarching questions are being explored with these manipulations: 1. To what extent are plant production and diversity co-limited by multiple nutrients in herbaceous-dominated communities? 2. Under what conditions do grazers or fertilization control plant biomass, diversity, and composition? By utilizing identical protocols at diverse grassland sites around the world, NutNet aims to uncover both the generalities in ecosystem functioning, and the contingencies or differences which can obscure those common mechanisms. In addition to the standard NutNet protocol, e247 includes an additional low Nitrogen gradient (1 gram Nitrogen per meter squared per year and 5 grams Nitrogen per meter squared per year in addition to the standard 10 grams Nitrogen per meter squared per year).
Dataset and Analyses for manuscript: "Counteracting effects of soil biota on emergence and growth of herbaceous plants"
<p>Dataset and analyses for manuscript: "Counteracting effects of soil biota on emergence and growth of herbaceous plants"</p>
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.