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3,105 results for “Vegetation =”
Dense vegetation hinders sediment transport towards saltmarsh interiors - Supporting data and source code (Part V: Figures)
<p>This is Part V of the supporting data and source code for the paper entitled "Dense vegetation hinders sediment transport towards saltmarsh interiors", submitted to <em>Limnology and Oceanography Letters.</em> It contains all input and output files to generate the figures of the paper.</p> <p>To be able to run the scripts as is, the path (at the beginning of each script) to the following folders must be updated:</p> <p>Runs (includes all model run folders from Part II and Part III)<br>Post (includes all post-processing folders from Part IV)</p>
Fig. 70. Lower elevational vegetations. A in Taxonomy of the ant genera Leptothorax Mayr, 1855 and Temnothorax Mayr, 1861 (Hymenoptera: Formicidae) of China with descriptions of twenty-eight new species and a key to the known Chinese species
Fig. 70. Lower elevational vegetations. A. Semi-moist evergreen broadleaf forest (2000 m, Tengchong, Yunnan). B. Dry deciduous broadleaf forest (1840 m, Luquan, Yunnan). C. Keteleeria evelyniana Mast. forest (1820 m, Anning, Yunnan). D. Monsoon evergreen broadleaf forest (1500 m, Gengma, Yunnan). E. Quercus variabilis Blume forest (1350 m, Guangnan, Yunnan). F. Dry evergreen broadleaf forest (518 m, Yuanyang, Yunnan). Photos by Zheng-Hui Xu.
Fig. 69. Middle elevational vegetations. A in Taxonomy of the ant genera Leptothorax Mayr, 1855 and Temnothorax Mayr, 1861 (Hymenoptera: Formicidae) of China with descriptions of twenty-eight new species and a key to the known Chinese species
Fig. 69. Middle elevational vegetations. A. Pinus densata Masters forest (2750 m, Bomi, Tibet). B. Pinus armandi Franch. forest (2557 m, Qiaojia, Yunnan). C. Subalpine moist evergreen broadleaf forest (2500 m, Lushui, Yunnan). D. Conifer-broadleaf mixed forest (2500 m, Huaping, Yunnan). E. Moss evergreen broadleaf forest (2450 m. Cangyuan, Yunnan). F. Warm conifer forest (2230 m, Huili, Sichuan). G. Dry-warm valley shrubland (2230 m, Muli, Sichuan). H. Semi-evergreen broadleaf forest (2050 m, Danba, Sichuan). I. Pinus yunnanensis forest (2030 m, Huaping, Yunnan). Photos by Zheng-Hui Xu.
Fig. 68. Higher elevational vegetations. A in Taxonomy of the ant genera Leptothorax Mayr, 1855 and Temnothorax Mayr, 1861 (Hymenoptera: Formicidae) of China with descriptions of twenty-eight new species and a key to the known Chinese species
Fig. 68. Higher elevational vegetations. A. Alpine shrubland (3815 m, Yushu, Qinghai). B. Pinus wallichiana A.B.Jacks. forest (3550 m, Bomi, Tibet). C. Betula albosinensis Burkill forest (3480 m, Ganzi, Sichuan). D. Quercus semecarpifolia Sm. forest (3250 m, Bomi, Tibet). E. Alpine conifer forest (3250 m, Yanyuan, Sichuan). F. Alpine Rhododendron L. forest (3250 m, Luquan, Yunnan). Photos by Zheng-Hui Xu.
HARTU VEGETABLES DATASET
<p>This dataset is created using vegetables CAD models. There are three distinct datasets: tomatoes, eggplants, and zucchinis. For each image, the location of each fruit is provided at the box level with labels in YOLO format. Each dataset is divided on train, val and test subsets. </p> <p>The HARTU project supports this work. This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101092100.</p>
Fig. 1 in Relationship Between Grazing Intensity, Vegetation Structure And Survival Of Nests In Semi-Natural Grasslands
Fig. 1. Daily nest survival rate (±SE) for artificial ground nests according to edge vs. interior and grazing intensity in three grassland regions of Hungary
Fig. 2 in Relationship Between Grazing Intensity, Vegetation Structure And Survival Of Nests In Semi-Natural Grasslands
Fig. 2. Grass height and vegetation cover (mean±SE) around predated and not predated (intact) artificial ground nests in Hungarian grasslands. (**: P <0.01; ***: P <0.001)
Figure 4 in Population Dynamics of Amoeboid Protists in a Tropical Desert: Seasonal Changes and Effects of Vegetation and Soil Conditions
Figure 4. Relationship between amoeboid protist richness and soil parameters during the wet season in three microhabitats by CCA: PL: Pr. laevigata, PP: Pa. praecox, and BS: bare soil. The names and abbreviations of the amoeboid protist species can be found in table 3.
Figure 2 in Population Dynamics of Amoeboid Protists in a Tropical Desert: Seasonal Changes and Effects of Vegetation and Soil Conditions
Figure 2. Cumulative richness plots of amoeboid protists present under Pr. laevigata (PL), Pa. praecox (PP) and bare soil (BS) during dry and wet seasons at 0–30 cm. a) eruptive pseudopods, and b) acanthopodial pseudopods. ND: not determined.
Fig. 5. A in Ciliate Community Structure in Vegetation in Eastern Mexico Bromeliads of Different Types of
Fig. 5. A. Trait loadings of retained components in the PCA axes 1 and 2, (B) for each sampling carried out in the seven localities, and (C) for vegetation type and ciliate species richness according to the principal components of model A, of an ordination based on species richness, two continuous and two categorical functional traits of 24 ciliate species at Eastern Veracruz, Mexico. Model C shows prediction ellipses at 95% confidence interval to delimitate the vegetation types. Numbers in B refer to the localities. SDTF = Semideciduous tropical forest, C = Coffee plantation, MCF = Montane cloud forest, PF = Pinus forest.
Fig. 3 in Ciliate Community Structure in Vegetation in Eastern Mexico Bromeliads of Different Types of
Fig. 3. Dendogram of the Jaccard's similarities among localities based on the unweighted pair-group method analysis (UPGMA). For the name of the localities see table 1.
Fig. 2 in Ciliate Community Structure in Vegetation in Eastern Mexico Bromeliads of Different Types of
Fig. 2. Average of water temperature of the samples in relation to the localities were samples were collected. Bars indicate standard deviation.
Fig. 1. A in Ciliate Community Structure in Vegetation in Eastern Mexico Bromeliads of Different Types of
Fig. 1. A. Location of the seven localities of the study. B. Schematic representation of the vegetation from the mountain region to the seashore in east Veracruz, Mexico. L = locality, 1 = La Joya, Acajete; 2 = Santuario de Bosque de Niebla, Xalapa; 3 = Coffee plantation La Onza, Coatepec; 4 = Coffee plantation Arcos Vegas y Rincón de Yeguas, Tuzamapan; 5 = Tlacuitlapa, Jalcomulco; 6 = Unidad de Manejo Ambiental Nace El Río, Descabezadero, Actopan; 7 = Centro de Investigaciones Costeras La Mancha (CICOLMA), Actopan.
Figure 1 in Population Dynamics of Amoeboid Protists in a Tropical Desert: Seasonal Changes and Effects of Vegetation and Soil Conditions
Figure 1. Study area, showing vegetation patches in the desert of Tehuacán, Puebla, Mexico. In addition, the analyzed microhabitats are shown: Pr. laevigata, Pa. praecox and bare soil.
Fig. 1. Projection cover during vegetation period Fig. 2 in P H E N O L O G Y O F H E R B A C E O U S V Eg E Tat I O N I N Br Oa Dl Eaved Fo Res T O F K Am Sa Bo Tanic Al - Zoological Reserve
Fig. 1. Projection cover during vegetation period Fig. 2. Phenological spectrum of herbs in a) in a) 2009, b) 2010. 2009, b) 2010.
Fig. 2 in Macrophyte Vegetation Assessment In Streams Of The Venta River Basin District
Fig. 2. Percentage share of growth forms of aquatic plants in different types of rivers (R3- medium-sized rhitral rivers, R4- medium-sized potamal rivers, R5- large rhitral rivers, R6- large potamal rivers).
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. 6. A pond overgrown with dense vegetation – a in The Distribution Of The Invasive Fish Amur Sleeper, Rotan Perccottus Glenii Dybowski, 1877 (Osteichthyes, Odontobutidae), In Latvia
Fig. 6. A pond overgrown with dense vegetation – a typical small pond biotope of Perccottus glenii. Pond Galdnieki, Kalkunes parish, Daugavpils district. 55°50'2.87"N; 26°28'58.57"E.
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.
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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.