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3,105 results for “Vegetation =”
Fig. 2 in Natural variation in specialised metabolites production in the leafy vegetable spider plant (Gynandropsis gynandra L. (Briq.)) in Africa and Asia
Fig. 2. Principal component analysis score plot of relative levels of 936 semi-polar metabolites detected in the leaves of 48 accessions of Gynandropsis gynandra from Asia (red), East/Southern Africa (black) and West Africa (blue). The first two dimensions explaining 39.6% of the total variation are shown. 95% confidence ellipses are displayed for the three regions. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Hydrothermal carbonization of vegetable-tanned leather shavings (HTC-VTS) for environmental remediation: optimization of process conditions
<p><span>Herein, the response surface methodology (RSM) has been used to study simultaneously the effects of carbonization temperature, residence time, and moisture content on the activated hydrochar preparation-based vegetable-tanned leather shavings (VTS) using hydrothermal carbonization method (HTC). Owing to the desirability chosen, three responses were analysed, namely: the hydrochar yield, iodine, and methylene blue numbers. The analysis of experimental results revealed that the hydrochar yield was decreased with an increase in carbonization temperature which led to micropores formation inside the hydrochar network. The optimal preparation conditions retained were: 83.10%, 390.44 mg/g, and 259.63 mg/g for the hydrochar yield, iodine, and methylene blue number respectively. The hydrochar micrograph showed the presence of external pores, whereas the FTIR analysis recorded the presence of acidic functional groups found on hydrochar surface. The findings revealed that the VTS is a good precursor for the hydrochar preparation useful in the removal of organic and inorganic pollutants in aqueous media. </span></p>
Data from: 28 years of vegetation standing crop data from the Mississippi river delta
<p>Deltaic landscapes go through cycles of birth, growth, decline, to death governed by intertwined geological, biological, and ecological processes. This study tracks deltaic lobes in the Balize Mississippi River Delta, Louisiana, USA over ~3 decades (study years 1984–2012). Hydrologic and geomorphic patterns and those which sustain patterns to wetland plant richness, diversity, and biomass are described. Plant diversity and biomass were modeled by nMDS ordination. Taxa (53) were harvested and dried (116,706g) from 965 (0.25 m<sup>2</sup>) plots and divided into three groups: I. 4 Foundation Species; 78.9% of total harvest; II. 9 Pioneer Species; 13.6% of total harvest; III. All Other taxa; 7.5% of total harvest (8 Miscellaneous Grasses, 8 Miscellaneous Sedges, 24 Miscellaneous Herbs). Autogenic/allogenic processes (sedimentation, subsidence, plant colonization, succession events) affect composition and biomass. Eleven important species were identified. Taxa's richness increased on mudflats during primary succession (15 to 25 taxa per site), then declined to fewer than 5 per site. Niche-space theory explained patterns to community change. There was similar total biomass/yr (~500 g/m<sup>2</sup>/yr) at study sites. Quantile regression analyses showed water quality and quantity of the Mississippi River influenced biomass especially spring-time waters. Stochastic events (storms, herbivory, salt-burn, flood-pulses) impacted biomass. Long-term studies like this are required in a future of climate unknowns.</p>
FIGURE 2. Truongsonia lecongkietii. Vegetative morphology. A in Truongsonia (Arecaceae: Arecoideae: Truongsonieae)-a new palm genus and tribe from Vietnam
FIGURE 2. Truongsonia lecongkietii. Vegetative morphology. A. Leaf, abaxial surface, showing fibre-like extension of the rachis through the sinus of the two leaf lobes. B. Leaf, adaxial surface. C. Leaf sheath, abaxial surface. D. Base of clump. E. Petioles, showing dry, fibrous, disintegrating ligules. Photos: N.S. Lý.
FIGURE 8 in Morphological and molecular profiling of an entomopathogenic nematode Steinernema feltiae: Unlocking its biocontrol potential against vegetable insect pests
FIGURE 8. Median lethal time (LT50) of Steinernema feltiae in the larvae of different insect pests at different time intervals and at different nematode concentrations, respectively.
FIGURE 6 in Morphological and molecular profiling of an entomopathogenic nematode Steinernema feltiae: Unlocking its biocontrol potential against vegetable insect pests
FIGURE 6. Maximum-likelihood phylogenetic tree between Steinernema feltiae and other species of Steinernema in the Feltiae-group based on nucleotide sequences of the D2–D3 expansion segments of large subunit (28S) of rRNA flanked by primers D2F and 536. Numbers at nodes represent bootstrap values based on 100 replications. Bars represent average nucleotide substitutions per sequence position. NCBI accession numbers of the nucleotide sequences used for the analyses are shown next to the species names. The scale bar shows the number of substitutions per site.
FIGURE 4 in Morphological and molecular profiling of an entomopathogenic nematode Steinernema feltiae: Unlocking its biocontrol potential against vegetable insect pests
FIGURE 4. Steinernema feltiae (light microscopy). A–C: First-generation female; A: Neck region (arrow pointing excretory pore); B: Vulva region; C: Posterior end (arrow pointing mucron). D,E: First-generation male; D: Neck region (arrow pointing excretory pore); E: Posterior end showing spicules and gubernaculum (arrow pointing mucron). F,G: Second-generation male; F: Neck region (arrow pointing excretory pore); G: Posterior end showing spicules and gubernaculum (arrow pointing mucron). H–J: Second-generation female; H: Neck region (arrow pointing excretory pore); I: Vulva region; J: Posterior end (arrow pointing mucron).
FIGURE 2 in Morphological and molecular profiling of an entomopathogenic nematode Steinernema feltiae: Unlocking its biocontrol potential against vegetable insect pests
FIGURE 2. Steinernema feltiae (line). A–D: First-generation female; A: Neck region; B: Posterior end; C: Vulva region; D: Whole female. E,G–K: Second-generation female; E: Whole female; G: Neck region; H–J: Posterior region showing variation in tail region; K: Vulva region. F: Whole infective juvenile.
FIGURE 3 in Morphological and molecular profiling of an entomopathogenic nematode Steinernema feltiae: Unlocking its biocontrol potential against vegetable insect pests
FIGURE 3. Steinernema feltiae (line). A–C: First-generation male; A: Whole male; B–C: Posterior region showing variations in spicule morphology. D,E: Second-generation male; D: Whole male; E: Posterior region.
FIGURE 7 in Morphological and molecular profiling of an entomopathogenic nematode Steinernema feltiae: Unlocking its biocontrol potential against vegetable insect pests
FIGURE 7. Median lethal concentration (LC50) of Steinernema feltiae in the larvae of different insect pests at different time intervals and at different nematode concentrations, respectively.
Große Vegetative Landschaft, Berlin
Giant Vegetative Landscape by [Friedrich Berhard Henkel (german)](https://de.wikipedia.org/wiki/Friedrich_B._Henkel) More details on the sculpture available in [german](https://bildhauerei-in-berlin.de/bildwerk/grosse-vegetative-landschaft/). --- Part of the [Berlin 3D Virtual Tour](https://r.upo.sh/NxdJZyQs). [More details](https://urban-photogrammetry.org/berlin/6f198c61895f4cf8ac029db8998903a6). --- Source: Objaverse 1.0 / Sketchfab
Fruit And Vegetables and OUtcomes After Removal of Impacted TEeth
ClinicalTrials.gov study NCT01145820. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Fruit and Vegetable Intake in Preschoolers
ClinicalTrials.gov study NCT05730530. IPD Sharing: YES. Countries: 1. Publications: 12.
Meta-analysis of Fruit and Vegetable Sources and Cardiovascular Outcomes
ClinicalTrials.gov study NCT03394339. IPD Sharing: NO. Countries: 1. Publications: 1.
Increased Access to Fruits and Vegetables for Hypertension in Immigrant Hispanic/Latinx Individuals
ClinicalTrials.gov study NCT05802134. IPD Sharing: NO. Countries: 1. Publications: 7.
Impact of a Dried Vegetable on Bowel Function and Gut Microbiota
ClinicalTrials.gov study NCT05473793. IPD Sharing: NO. Countries: 1. Publications: 2.
Fruit and Vegetable Products Enriched With Fibre From Potato Starch With Prebiotic Properties for Children and Youth
ClinicalTrials.gov study NCT05140070. IPD Sharing: YES. Countries: 1. Publications: 7.
The Effect of a Descriptive Norm Promoting Vegetable Selection in a Workplace Restaurant Setting: an Observational Study
ClinicalTrials.gov study NCT02603263. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effects of Berries and Vegetables on Cardiometabolic Risk Markers and Cognitive Functions
ClinicalTrials.gov study NCT01562392. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Evaluation of a 5-a-day Fruit and Vegetable Mobile Phone Application
ClinicalTrials.gov study NCT02779491. IPD Sharing: YES. Countries: 0. Publications: 1.
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.