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9,671 results for “Leaf”
Dataset: Four Leaf Acquisition Corporation (FORL) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Clover Leaf Capital Corp. (CLOER) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Clover Leaf Capital Corp. (CLOE) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Clover Leaf Capital Corp. (CLOEU) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Fig. 2. Pamphilius benesi. —— A in Immature Stages and Life History of a Hazel Leaf-rolling Sawfly, Pamphilius benesi (Hymenoptera, Pamphiliidae)
Fig. 2. Pamphilius benesi. —— A, Eggs, remains of eggshell and newly hatched larva beginning to make leafroll, Group B, June 5; B, C, early instar larva, June 7; D, E, middle instar larva, June 14; F, late instar larva, June 23; G, H, J, late instar larva, June 21; I, late instar larva, June 28. All photographed by Kato.
Fig. 1. Pamphilius benesi. —— A in Immature Stages and Life History of a Hazel Leaf-rolling Sawfly, Pamphilius benesi (Hymenoptera, Pamphiliidae)
Fig. 1. Pamphilius benesi. —— A, Ovipositing female on leaf of Corylus sieboldiana, Group Ab, May 29; B, three eggs, Group Aa, May 29; C, remains of six eggshells, Group Aa and Ab, and leaf-roll made by young larvae, June 6; D, larvae inside the same leaf-roll, June 6; E, ovipositing female on leaf of C. sieboldiana, Group B, May 29; F, leaf with five eggs, Group B, May 29; G, eggs of Group B, possible marks of sticky substance arrowed, May 29. All photographed by Kato.
A principal components (PCs) dataset of the leaf and canopy levels used for SIF retrieval in SFM-PCA approach
<p><span>A principal components (PCs) dataset (640–850 nm) generated using a principal component analysis approach to reconstruct the shape of the reflectance spectrum for the leaf and canopy levels. For the leaf level, a novel SIF-free leaf spectra dataset (n = 849, species = 95) collected at three sites in Beijing, China during June and August 2023, was used. For the canopy level, a total of 19,380 SIF-free spectra generated using a SCOPE model based on the measured leaf reflectance and transmittance was employed.</span></p>
Leaf functional traits and environmental conditions of four common nymphaeid species
<p>This dataset includes measures of 21 leaf functional traits of 48 wild populations of four species of nymphaeids: <em>Nuphar lutea</em>, <em>Nelumbo nucifera</em>, <em>Nymphaea alba</em> and <em>Nymphoides peltata</em>. For each population (plot) coordinates, water depth, pH, specific conductivity, nitrate, dissolved inorganic carbon, dissolved reactive silica, soluble reactive phosphorus, sediment organic matter content and sediment total phosphorus content and sediment density are provided as well. The populations were located in different lake systems in Italy. The dataset includes a legend sheet with information on single traits and environmental variables, including units of measurement.</p> <p>Structural traits (area, fresh and dry weight, dry matter content and specific area) were measured on 5 leaves from different individuals, while leaf pigments and phosphorus content were measured on 3 leaves. Leaf carbon and nitrogen content were measured on one aliquot of the pooled dried material of all leaves. Therefore, the missing values in the dataset derive from the sampling design of the study. All further information on the methodology used to collect and measure the traits and environmental variables can be found in the related paper ("Ecological and functional niches comparison reveals differentiated resource-use strategies and ecological thresholds in four key floating-leaved macrophytes", Dalla Vecchia et al. 2024, Limnology and Oceanography).</p>
Fig. 1 in Peculiarities Of Wheat Leaf Disease Distribution In Latvia
Fig. 1. Occurrence of mildew during 1995-2002 Fig. 2. Dynamics of mildew development during in Latvia. the vegetation season (average data).
Fig. 5 in Peculiarities Of Wheat Leaf Disease Distribution In Latvia
Fig. 5. Dynamics of tan spot development during Fig. 6. The time (growth stage) of appearance of 1995-2002 in Latvia. the first symptoms of yellow rust and brown rust.
Fig. 3 in Peculiarities Of Wheat Leaf Disease Distribution In Latvia
Fig. 3. Development of septoria leaf blotch during Fig. 4. Occurrence of tan spot during the obser- 1995-2002 in Latvia. vations.
Fig. 3 in Taxonomical Structure And Biogeography Of Leaf-Beetles (Coleoptera: Chrysomelidae S. L.) Of The Latvian Fauna
Fig. 3. Biogeographical structure of Latvian Chrysomelidae s. l.: COS – Cosmopolitan, HOR – Holarctic-Oriental, PAO – Palaearctic-Oriental, OLA – Holarctic, PAL – Palaearctic, ASE – Asiatic-European, SIE – Sibero-European, WPA – West-Palaearctic, CEM – Centralasiatic-EuropeoMediterranean, CAE – Centralasiatic-European, TEM – Turano-Europeo-Mediterranean, TUE – Turano-European, EUM – Europeo-Mediterranean, EUR – European, CEU – Centraleuropean, NEU – North-European, EEU – East-European.
Fig. 2 in Taxonomical Structure And Biogeography Of Leaf-Beetles (Coleoptera: Chrysomelidae S. L.) Of The Latvian Fauna
Fig. 2. Range of genera in the subfamilies of Latvian Chrysomelidae s. l. * - genera which contain 1-3 genera each: Zeugophorinae, Lamprosomatinae, Synetinae, Orsodacninae, Donaciinae, Cassidinae and Eumolpinae.
Fig. 1 in Taxonomical Structure And Biogeography Of Leaf-Beetles (Coleoptera: Chrysomelidae S. L.) Of The Latvian Fauna
Fig. 1. Number of species in the subfamilies of Latvian Chrysomelidae s. l. * - subfamilies which contain not more than 5 species each: Zeugophorinae, Orsodacninae, Lamprosomatinae, Eumolpinae and Synetinae.
FIGURE 1. Fossil locations and fossil ages. A in Leaf trait data of two Miocene floras from eastern China and its palaeoclimate implications
FIGURE 1. Fossil locations and fossil ages. A, yellow points indicate the locations of fossil floras. The numbered red lines indicate the regional vegetation of southeastern China (background picture by GeoMapApp: geomapapp.org; the vegetation division after Zhang et al., 2007): 1, tropical rainforest and humid rainforest; 2, subtropical evergreen broad-leaved forest; 3, warm temperate deciduous oak forest; B, fossil ages of the Toupi flora (17 – 14 Ma) and Shengxian flora (10.5 ± 0.5 Ma).
FIGURE 2. Example for a in Leaf trait data of two Miocene floras from eastern China and its palaeoclimate implications
FIGURE 2. Example for a replenished fossil leaf. The yellow line is the outline of the original fossil. The blue line is the outline of replenished leaf (the leaf reconstruction was visually based on taxon specific gross morphology, Toumoulin et al., 2020). The petiole width was determined at the region of the insertion point (Traiser et al., 2018); Scale bar equals 1 cm.
Data from: Measuring leaf and root functional traits uncovers multidimensionality of plant responses to arbuscular mycorrhizal fungi
<p>Premise of the study While many studies have measured the aboveground responses of plants to mycorrhizal fungi at a single time point, little is known about how plants respond belowground or across time to mycorrhizal symbiosis. By measuring belowground responses as well as growth over time in many plant species, we create a more complete picture of how mycorrhizal fungi benefit their hosts. Methods We grew 26 prairie plant species with and without mycorrhizal fungi and measured fourteen functional traits measuring above and belowground tissue quality and quantity responses and changes in resource allocation. We used function-value trait (FVT) modeling to characterize changes in species growth rate when colonized. Key results While aboveground biomass responses were positive, the response of traits belowground were much more variable. Changes in aboveground biomass accounted for 60.8% of the variation in mycorrhizal responses, supporting the use of aboveground biomass response as the primary response trait. Responses belowground were not associated with aboveground responses and accounted for 18.3% of the variation. Growth responses over time were highly variable across species. Interestingly, none of the measured responses were phylogenetically conserved. Conclusions Mycorrhizal fungi increase plant growth in most scenarios, but the effects of these fungi belowground and across time are more complicated. This study highlights how differences in plant allocation priorities might affect how they utilize the benefits from mycorrhizal fungi. Identifying and characterizing these differences is a key step to understanding the effects of mycorrhizal mutualisms on whole plant physiology. </p>
Figure 2 in Allometric equations for estimating the leaf area of Thespesia populnea by linear dimensions of leaf blades
Figure 2. Linear leaf dimensions [maximum length (L) and maximum width (W)] used to estimate the leaf area of Thespesia populnea.
Figure 1 in Allometric equations for estimating the leaf area of Thespesia populnea by linear dimensions of leaf blades
Figure 1. Geographical location of the municipality of Canguaretama, state of Rio Grande do Norte, Northeastern Brazil.
Figure 1 in Effect of Mauritia flexuosa L. leaf extract on Staphylococcus aureus and Staphylococcus haemolyticus biofilms adhered to stainless steel surface
Figure 1. Gas chromatographic profile of extracts from Mauritia flexuosa L. leaves. (A) Ethanolic extract and (B) Aqueous extract. The peaks numbers correspond to the phenolic compounds and carbohydrates listed in Table 1.
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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.