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5,828 results for “Traits”
Figure 1 in Modeling the sustainability and economics of stacked herbicide-tolerant traits and early weed management strategy for waterhemp (Amoronthus tuberculotus) control
Figure 1. Sustainability of the POST-only programs,as influenced by the number of herbicide SOAs and the initial level of quantitative resistance to herbicide H. Cross-resistance between herbicides H and X is included in D–F. Results are presented as the year of weed control failure; bars represent the mean, and error bars represent the range of 100 replicates. Herbicide scenarios are detailed in Table 2. r-HX, correlation coefficient between phenotypic values of H and X.
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. 5 in Species Accumulation Curves And Similarity Traits Of A Species-Rich Fly (Diptera) Community
Fig. 5. Jackknifed NESS indices relating to the kth and (k + 1)th group of 50, k = 1,2,…, 19. In case of k = 8 and k = 14 samples from different years are compared
Fig. 2. Sample-based curve for 2003–2005 in Species Accumulation Curves And Similarity Traits Of A Species-Rich Fly (Diptera) Community
Fig. 2. Sample-based curve for 2003–2005. Two points, corresponding to species numbers after adding the first group of ten to the sample in 2004 and 2005 are denoted by empty symbol
Fig. 2 in Chlorophyll-a and Suspended Inorganic Material Affecting the Shell Traits of Testate Amoebae Community
Fig. 2. Ordination results of the non-metric multidimensional scaling to combination between environments and testate amoeba species. Symbols represent the environments with lower (EL), intermediate (EI), and higher (EH) concentration of inorganic suspended material. Species: Cyp – Cyphoderia cf. ampulla, Eu – Euglypha acanthophora, Lm – Lesquereusia mimetica, Lt – L. modesta, Lu – L. modesta var. caudata, Lo – L. ovalis, Ls – L. spiralis, Lh – L. spiralis var. hirsuta, Lc – L. spiralis var. caudata, No – Netzelia oviformis, Nt – N. tuberculata, Nw – N. wailesi, He – Heleopera petricola, Ne – Nebela penardiana, Phr – Phryganella hemisphaerica, Ho – Hoogenraadia criptostoma, Pl – Plagiopyxis callida, Cyc – Cyclopyxis kahli, Tr – Trinema lineare. Arcellidae species (As), Centropyxidae species (Cs), and Difflugiidae species (Ds) were grouped to more easily identify the relationships between species and environments.
Figure 7 in Application Of Lichen Functional Traits In Identification Of Temperate Old-Growth Broad-Leaved Forests
Figure 7. Lichen thallus color in old (oldgrowth), middle (middleaged) and young broadleaved forest stands.
Figure 6 in Application Of Lichen Functional Traits In Identification Of Temperate Old-Growth Broad-Leaved Forests
Figure 6. Lichen growth forms in old (oldgrowth), middle (middleaged) and young broadleaved forest stands.
Figure 9 in Application Of Lichen Functional Traits In Identification Of Temperate Old-Growth Broad-Leaved Forests
Figure 9. Lichen photobiont type in old (oldgrowth), middle (middleaged) and young broadleaved forest stands.
Figure 8 in Application Of Lichen Functional Traits In Identification Of Temperate Old-Growth Broad-Leaved Forests
Figure 8. Lichen reproduction type in old (oldgrowth), middle (middleaged) and young broadleaved forest stands.
Figure 2 in Application Of Lichen Functional Traits In Identification Of Temperate Old-Growth Broad-Leaved Forests
Figure 2. Sample plot. Abbreviations: S – South, N – North. Arrow shows the direction of the sampling in transect. Tree number shows the order of surveyed trees.
Figure 5 in Application Of Lichen Functional Traits In Identification Of Temperate Old-Growth Broad-Leaved Forests
Figure 5. Number of lichen taxa with category of conservation concern in old (oldgrowth), middle (middleaged) and young broadleaved forest stands.
Fig. 3 in Variation In Cone And Seed Morphology Traits Among The Mitochondrial Dna Haplotypes Of Scots Pine (Pinus Sylvestris L.)
Fig. 3. Dependence of seed number per cone on cone length for the type A and type B mitotypes of Scots pine. Individual cone values are shown.
Fig. 5 in The Impact Of Hydrothermal Conditions During Vegetation Period On Grain Quality Traits Of Oat
Fig. 5. β-glucan content and hydrothermal coefficient of phase 1 and 2 for cultivars A: D – 'Laima', B – 'St.Darta', A – 'Arta', E – 'Cwal', L – 'Scorpion', F – 'Pergamon', 1 – HTC1, 2 – HTC2.
Fig. 3 in The Impact Of Hydrothermal Conditions During Vegetation Period On Grain Quality Traits Of Oat
Fig. 3. Crude fat content and hydrothermal coefficient of phase 1 and 2 for cultivars A: B – 'St.Darta', D – 'Laima', E – 'Cwal', A – 'Arta', F – 'Pergamon', C – 'St.Liva', 1 – HTC1, 2 – HTC2.
Fig. 2 in The Impact Of Hydrothermal Conditions During Vegetation Period On Grain Quality Traits Of Oat
Fig. 2. Crude protein content and hydrothermal coefficient of phase 1 and 2 for cultivars B: K – 'Ingeborg', F – 'Pergamon', H – 'Duffy', L – 'Scorpion', J – 'Kerstin', G – 'Corona', 1 – HTC1, 2 – HTC2.
FIGURE 5 in INTRASPECIFIC VARIATION IN ACOUSTIC TRAITS AND BODY SIZE, AND NEW DISTRIBUTIONAL RECORDS FOR PSEUDOPALUDICOLA GIARETTAI CARVALHO, 2012 (ANURA, LEPTODACTYLIDAE, LEIUPERINAE): IMPLICATIONS FOR ITS CONGENERIC DIAGNOSIS
FIGURE 5: Scatterplot of the first two principal component scores (PCs) from acoustic traits of six populations of P. giarettai. Yellow (Curvelo; type locality); purple (Chapada Gaúcha); green (Coromandel); red (Buritis); blue (Buritizeiro); pink (Unaí).
FIGURE 3 in INTRASPECIFIC VARIATION IN ACOUSTIC TRAITS AND BODY SIZE, AND NEW DISTRIBUTIONAL RECORDS FOR PSEUDOPALUDICOLA GIARETTAI CARVALHO, 2012 (ANURA, LEPTODACTYLIDAE, LEIUPERINAE): IMPLICATIONS FOR ITS CONGENERIC DIAGNOSIS
FIGURE 3: Advertisement call of P. giarettai from the type locality (Curvelo, Minas Gerais). From top to bottom: oscillogram section (ca. 1.6 s) depicting calling pattern, waveform, spectrogram, and power spectrum of the second advertisement from oscillogram section. Sound energy with relative amplitude below 40 dB was clipped to zero dB to remove background noise from power spectrum.
FIGURE 2 in INTRASPECIFIC VARIATION IN ACOUSTIC TRAITS AND BODY SIZE, AND NEW DISTRIBUTIONAL RECORDS FOR PSEUDOPALUDICOLA GIARETTAI CARVALHO, 2012 (ANURA, LEPTODACTYLIDAE, LEIUPERINAE): IMPLICATIONS FOR ITS CONGENERIC DIAGNOSIS
FIGURE 2: Adult specimens of P. giarettai in life from: Above – Parque Nacional Grande Sertão Veredas, Chapada Gaúcha, Minas Gerais (voucher male AAG-UFU 1920: CRC = 14.6 mm); Below – Coromandel (female AAG-UFU 3566: CRC 18.8 mm).
FIGURE 4 in INTRASPECIFIC VARIATION IN ACOUSTIC TRAITS AND BODY SIZE, AND NEW DISTRIBUTIONAL RECORDS FOR PSEUDOPALUDICOLA GIARETTAI CARVALHO, 2012 (ANURA, LEPTODACTYLIDAE, LEIUPERINAE): IMPLICATIONS FOR ITS CONGENERIC DIAGNOSIS
FIGURE 4: Advertisement call of P. giarettai from the Parque Nacional Grande Sertão Veredas (Chapada Gaúcha, Minas Gerais). From top to bottom: oscillogram section (ca. 1.6 s) depicting calling pattern, waveform, spectrogram, and power spectrum of the second advertisement from oscillogram section. Sound energy with relative amplitude below 40 dB was clipped to zero dB to remove background noise from power spectrum.
FIGURE 6 in INTRASPECIFIC VARIATION IN ACOUSTIC TRAITS AND BODY SIZE, AND NEW DISTRIBUTIONAL RECORDS FOR PSEUDOPALUDICOLA GIARETTAI CARVALHO, 2012 (ANURA, LEPTODACTYLIDAE, LEIUPERINAE): IMPLICATIONS FOR ITS CONGENERIC DIAGNOSIS
FIGURE 6: Typical breeding habitat of P. giarettai: a permanent pond associated with a Buriti palm grove marsh at the Parque Nacional Grande Sertão Veredas (Municipality of Chapada Gaúcha), northwestern Minas Gerais, southeastern Brazil.
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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.