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.
22,710
datasets available to search
ShareScore release 0.9.0
Dataset results
22,710 results for “Plants for planting”
Figure 4 in Dynamics of arbuscular mycorrhizal fungi in relation to root colonization, spore density, and soil properties among different spreading stages of the exotic plant threeflower beggarweed (Desmodium triflorum) in a ZoysiO tenuifoliO lawn
Figure 4. Correlations among the root mycorrhizal colonizations, arbuscular mycorrhizal fungal spore densities ("AMF spore density"), and soil properties in different coverage levels of Desmodium triflorum. ZTC, ZHC, and ZVC in light-green circles indicate the total colonization (TC), hyphal colonization (HC), and vesicular colonization (VC) of Zoysia tenuifolia, respectively. DTC, DHC, and DVC in light-red circles indicate the TC, HC, and VC of D. triflorum, respectively. Green lines and green-colored numbers indicate significant correlations between the colonization indicators of Z. tenuifolia and corresponding correlation coefficients, respectively. Red lines and red-colored numbers indicate significant correlations between the colonization indicators of Z. tenuifolia and corresponding correlation coefficients, respectively. Dark-green double arrows and dark-green numbers indicate the correlations between the colonizations of Z. tenuifolia and those of D. triflorum and corresponding correlation coefficients, respectively. Light-blue double arrows and light-blue numbers indicate the correlations between the spore densities and soil properties/root colonizations and corresponding correlation coefficients,respectively. Darkyellow double arrows and dark-yellow numbers indicate the correlations between the soil properties and root colonizations and corresponding correlation coefficients, respectively. Correlation is significant at: *P <0.05; **P <0.01; ***P <0.001. The minus sign indicates a negative correlation. Insignificant correlations are not shown.
Figure 1 in Dynamics of arbuscular mycorrhizal fungi in relation to root colonization, spore density, and soil properties among different spreading stages of the exotic plant threeflower beggarweed (Desmodium triflorum) in a ZoysiO tenuifoliO lawn
Figure 1. Dynamics of the soil physiochemical properties (average ± SE, n = 5) within different Desmodium triflorum coverage levels and seasons. "Season" and "Coverage" indicate ANOVA results of each indicator among seasons and D. triflorum coverage levels, respectively. Level 1, level 2, level 3, level 4, and level 5 indicate the coverage levels of D. triflorum in the Zoysia tenuifolia lawn, respectively, in this and all following figures.
Data for: Pine trees structure plant biodiversity patterns in savannas
<p>Overstory trees serve multiple functions in grassy savannas. Past research has shown that large pine canopy openings harbor greater plant species richness and different species composition. However, these studies did not examine such patterns at the scale of individual trees. We examined the relationship between understory plant communities and proximity to individual pine trees in dry and mesic pine savannas in frequently burned (1-3 year intervals) and long unburned (>30 years since fire) sites in north central Florida. We recorded the presence and abundance (stem or ramet number) of plant species in 1 m x 1 m plots adjacent to tree boles (basal) or outside crown driplines (open). In addition, we quantified environmental variables, including light transmittance and percent cover of litter, bare ground, and fuel loading classes.</p>
Data and Code for "Propagule pressure from historic U.S. plant sales explains establishment but not invasion"
<p>Files used in the creation of "Propagule pressure from historic U.S. plant sales explains establishment but not invasion" manuscript submitted to Ecology Letters.</p>
Fig. 6 in Taxonomic Notes and New Distribution and Host Plant Records for Sawflies and Woodwasps (Hymenoptera, Symphyta) of Japan IX
Fig. 6.ɹPericlista erythrogramma, final feeding-instar larva, 19. V. 2011 (A, C), P. shiritakensis, final feedinginstar larva, 12. V. 2019 (B, D) and mature larva, 15. V. 2019 (E). Photographed in Nakagawa by S. Ibuki.
Fig. 2 in Taxonomic Notes and New Distribution and Host Plant Records for Sawflies and Woodwasps (Hymenoptera, Symphyta) of Japan IX
Fig. 2.ɹOnycholyda viriditibialis (A–C) and O. esakii (D, E), photographed in Kagamiganaru by A. Shinohara on September 2, 2023. — A, Larval abode (arrowed), upper surface; B, same abode (arrowed), under surface; C, late-instar larva in abode with frass; D, two larval abodes (arrowed), under surface; E, close-up of larval abodes.
Fig. 3 in Taxonomic Notes and New Distribution and Host Plant Records for Sawflies and Woodwasps (Hymenoptera, Symphyta) of Japan IX
Fig. 3.ɹPamphilius komonensis on A. palmatum (A–D) and A. pictum subsp. dissectum f. connivens (E–H) photographed in Nakagawa (G, H in Tsukuba) by S. Ibuki (A–E) and A. Shinohara (E–H). — A, Eggshell (upper arrow) and larval abode of early-instar larva (lower arrow), June 5, 2023; B, eggshell, May 29, 2023; C, earlyinstar larva beginning to make abode, May 29, 2023; D, middle-instar larva, June 27, 2016; E, F, larval abodes (arrowed), June 8, 2023; G, late-instar larva, June 11, 2023; H, mature larva, June 21, 2023.
Fig. 1 in Taxonomic Notes and New Distribution and Host Plant Records for Sawflies and Woodwasps (Hymenoptera, Symphyta) of Japan IX
Fig. 1.ɹNeurotoma atrata on Q. serrata, photographed in Nakagawa by S. Ibuki in 2018 and 2019. — A, Nest containing three larvae, seen from above, May 3, 2018 (deformed after three days of rearing in a container); B, inside of nest, seen from below, remains of two egg shells arrowed, April 30, 2018; C–E, middle instar larva, April 30, 2018 (C, E) and May 8, 2019 (D); F–H, late instar larva, May 2 (F), May 3 (G) and May 4, 2018 (H); I, J, mature larva, May 7, 2018.
Expanding the plant economics spectrum with root nitrogen reallocation
<p>Harnessing root nitrogen reallocation (RNR) for optimization of plant productivity commences with positioning RNR in root economics space about which we still know little. We conducted a global synthesis linking RNR to root traits, combined with a two-year <sup>15</sup>N-labelling field experiment to position RNR in plant economics spectrum under acidification. RNR correlated negatively with specific root length (SRL) and mycorrhizal colonization globally, suggesting that RNR is a conservative trait. Sedges, grasses and forbs coordinated root traits (e.g., SRL) from acquisitive to conservative and from low to high RNR reliance (and <em>vice versa</em> for their direct-root N uptake) in the <sup>15</sup>N-tracing experiment. Specifically, sedges and forbs exhibited the lowest and highest RNR that increased and decreased with acidification, respectively. Grasses cooperated well with mycorrhizas, showing moderate RNR and root traits. Our results demonstrated the significance of RNR in plant growth, and the necessity of considering RNR as a conservative trait.</p>
Data for: Spatial variability in the contribution of termites to the decay of plant detritus
<p>Drylands are characterized by high spatial variability in resource availability due to sporadic rainfall, topography of the landscape and important effects of animals. Resource availability gradients may trigger patterns in decomposer population abundances and activity which could affect ecosystem functions such as decomposition. Here, we examined the influence of resource availability gradients on the importance of termites in the decomposition of wood and grass litter. We placed wood blocks and grass litter baits in bags accessible and inaccessible to termites across wood and grass resource gradients as determined by the presence or absence of a top mammalian predator and across topographic gradients during a 9-month period in arid Australia. We hypothesized that grass-eating termite activity would track grass abundance and wood-eating termite activity would track wood abundance. Termites were the predominant decomposition agent at these sites. Termites contributed to 99.5% of wood decomposition and 83.9% of grass decomposition during our study period. For wood, the termite effect was spatially variable and increased with habitat wood availability which was greatest on dunes and where top predators were absent. However, the contribution of termites to grass litter decomposition did not track grass availability or termite abundance. The highest effects of termites on grass decomposition rates were found in habitats where the absence of top predators led to low grass availability. Our findings highlight how spatial variability in resources in addition to other factors that we do not document but are known to be influenced by the presence of top predators, such as insectivore predation rates, across the landscape could affect ecosystem functions such as decomposition. </p>
Annual plant competition experiment results and associated mycobiome ASV tables
<p>Major theories regarding microbe-mediated plant community dynamics assume that plant species cultivate distinct microbial communities. However, few studies empirically assess the role of species-associated microbial community dissimilarity in plant competitive dynamics. In this study, we paired a competition experiment between eight annual forbs with a characterization of species-associated fungal communities to assess whether mycobiome dissimilarity is associated with pairwise competitive dynamics. Using a quantitative approach informed by modern coexistence theory, we found that fungal dissimilarity was correlated with both increased stabilizing niche differences and fitness inequalities. Additionally, we found that the probability of coexistence increased with mycobiome dissimilarity. When subsetting the community into different fungal functional groups (pathotrophs, saprotrophs, symbiotrophs), overall relationships between dissimilarity and competitive dynamics were independent of these functional groups. </p> <p>Synthesis: These results suggest that fungal community divergence may play an important role in mediating plant competitive dynamics. Although fungal community dissimilarity is associated with both niche and fitness differences, complex biotic and/or abiotic interactions belowground may result in an observed correlation between fungal community dissimilarity and plant coexistence. Ultimately, this study suggests a novel approach to better understanding how microbiome dissimilarity may impact host community dynamics.</p>
Aboveground plant biomass in LandKlif experimental plots
<p><span>Aboveground plant biomass of standing vegetation occurring in three random quadrats of size 20x20 cm located inside of the LandKlif experimental plots. Samples were taken between May and July 2019.</span></p> <p><span>LandKlif is funded by the Bavarian State Ministry of Science and the Arts within the Bavarian Climate Research Network (bayklif). Within the five year funding period of bayklif, five interdisciplinary senior research associations and five junior research groups are be financed with a total sum of 18 million Euro. LandKliF, as one of the five interdisciplinary senior research associations, addresses the effects of climate change on biodiversity and ecosystem services in semi-natural, agricultural and urban landscapes.</span></p>
Figure 4 in Modelling hot spot areas for the invasive alien plant Elodea nuttallii in the EU
Figure 4. The occurrence with data thinned by extraction from subset 1 (A) and subset 2 (B) of occurrence data. The combined output of both is also presented (C). Areas with low uncertainty and above the habitat suitability threshold (i.e. priority areas) are marked in red while areas with high uncertainty are marked in yellow. The grid size of all 3 maps is 1 km2.
Figure 2 in Modelling hot spot areas for the invasive alien plant Elodea nuttallii in the EU
Figure 2. The model performance (regularized training gain) of the MaxEnt model generated using subset 2 of the occurrence data when the variable in question is omitted or used in isolation, compared to the performance of the model when all variables are used.
Figure 6. The occurrence with data from subset 1 in Modelling hot spot areas for the invasive alien plant Elodea nuttallii in the EU
Figure 6. The occurrence with data from subset 1 (A) and subset 3 (B). The combined output of both is also presented (C). Areas with low uncertainty and above the habitat suitability threshold (i.e. priority areas) are marked in red while areas with high uncertainty are marked in yellow. The grid size of all 3 maps is 1 km2.
Figure 7 in Modelling hot spot areas for the invasive alien plant Elodea nuttallii in the EU
Figure 7. "Alert areas", i.e. areas with high probability to be invaded by Elodea nuttallii that are at least 100 km away from any known occurrence point of the species, divided by being inside or outside Natura 2000 site, generated using subset 1 and subset 3 of occurrence data.
Figure 5 in Modelling hot spot areas for the invasive alien plant Elodea nuttallii in the EU
Figure 5. "Alert areas", i.e. areas with high probability to be invaded by Elodea nuttallii that are at least 100 km away from any known occurrence point of the species, divided by being inside or outside Natura 2000 site, generated using subset 1 and subset 2 of occurrence data.
Fig 4. A–Y. Crotalaria suffruticosa. A. Habit. B. Plant twig showing leaves and flowers. C in Discovery of two new species of Crotalaria (Leguminosae, Crotalarieae) from Western Ghats, India
Fig 4. A–Y. Crotalaria suffruticosa. A. Habit. B. Plant twig showing leaves and flowers. C. Herbarium specimen of the new species. D. Close-up of the flower in field. E. Adaxial leaf surface with white sparse pubescent vestiture. F. Abaxial surface with pubescent vestiture. G. Close-up of abaxial leaf surface showing prominent hairs on the midrib region. H. Close-up of mucronulate leaf apex. I. Flower showing calyx, corolla and pedicel. J. Position of bract (base of pedicel) and bracteoles (middle of pedicel). K. Bi-lipped calyx with pubescent surface. L. Adaxial surface of standard. M. Abaxial surface of standard. N. Planar callosities. O. Close-up of silky pubescence on standard dorsal apex. P-Q. Wing petals. R. Close-up of cavae. S-T. Keel petals, angled with lower third curvature and ciliate glabrous vestiture. U. Anthers in 5 + 5 arrangement (one missing), with five carinal/ basifixed/sagittate anthers and five small dorsifixed ovoid anthers. V. Gynoecium showing ovary, style and stigma. W. Close-up of style showing trichomes in two parallel rows(parallel) and brush type stigma. X. Fruit showing glabrous surface and prominent beak. Y. Cordiform seed, golden brown color. Scale bar 0.5 cm unless indicated otherwise. https://doi.org/10.1371/journal.pone.0192226.g004
Fig 6. A–R. Crotalaria multibracteata. A. Plant twig showing leaves and flowers. B-C in Discovery of two new species of Crotalaria (Leguminosae, Crotalarieae) from Western Ghats, India
Fig 6. A–R. Crotalaria multibracteata. A. Plant twig showing leaves and flowers. B-C. Adaxial and abaxial leaf surface with hirsute vestiture and ciliate margin. D. Flower showing pedicel, bracteoles and calyx with corolla inserted (all three with dense pubescence). E. Bilipped calyx with pubescent-densely ciliate surface. F. Both lips of calyx dissected show surface and bi-lipped condition. G. Adaxial surface of standard with pubescent apex. H. Abaxial surface of standard. I-J. Wing petals. K-L. Keel petals, sub-angled with below the middle curvature and lanate vestiture. M. Anthers in 5 + 5 arrangement (one missing), with five carinal/basifixed/sagittate anthers and five small dorsifixed ovoid anthers with their filaments fused to form a staminal sheath. N. Gynoecium showing ovary, style and stigma. O. Fruit showing glabrous surface, and densely pubescent calyx. P. Seed reniform, golden brown with smooth surface. Q. Close-up of lameliform callosities. R. Close-up of cavae. https://doi.org/10.1371/journal.pone.0192226.g006
Fig. 1 in Anesthetic activity of Brazilian native plants in silver catfish (Rhamdia quelen)
Fig. 1. Induction time and recovery of essential oils in silver catfish juveniles: a = Hesperozygis ringens; b = Ocotea acutifolia. Stages of induction were observed according to Schoettger & Julin (1967). Maximum observation time for induction and recovery was 30 min. Data are presented as mean±SEM (N = 5-6). Different letters indicate significant differences among concentrations for the same induction stage (P<0.05). Recovery time was omitted of Fig. 1b because it was higher than 30 min for most fish tested (see results).
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.