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3,105 results for “Vegetation =”
Fósil vegetal en roca travertino
***Escaneo 3d roca travertino con textura*** Escaneo 3d de una roca travertino con la peculiaridad de contar con una fosilización de algún tipo de planta. Modelo decimado y editado para hacerlo sólido. [Más escaneos 3d y modelados 3d](http://cadforcam.com) [Más rocas con textura](https://sketchfab.com/yuelands/collections/rocas-con-textura) **3D scan of a travertine rock with texture** 3D scan of a travertine rock containing a fosilized see plant. Decimated model and holes closed to make a solid. [More 3d scans and 3d models](http://cadforcam.com) [More rocks with texture](https://sketchfab.com/yuelands/collections/rocas-con-textura) Source: Objaverse 1.0 / Sketchfab
Data needed to reproduce analysis from "Frost matters: Incorporating late-spring frost in a dynamic vegetation model regulates regional productivity dynamics in European beech forests"
<p>Data to reproduce analysis from "Frost matters: Incorporating late-spring frost in a dynamic vegetation model regulates regional productivity dynamics in European beech forests".</p> <p>This includes:</p> <ol> <li>Tree ring data (meyer, bdn, principe, dittmar)</li> <li>LPJ-GUESS model output (frost_validation, frost_sensitivity, runs_22012024_revision)</li> <li>Data used for plotting</li> </ol>
Climate-limited vegetation change in the conterminous United States of America
<p>In the study "CLIMATE-LIMITED VEGETATION CHANGE IN THE CONTERMINOUS UNITED STATES OF AMERICA", published in the Global Change Biology journal, we evaluated the effects of climate conditions on vegetation composition and distribution in the conterminous United States (CONUS). To disentangle the direct effects of climate change from different non-climate factors, we applied "Liebig's law of the minimum" in a geospatial context, and determined the climate-limited potential for tree, shrub, herbaceous, and non-vegetation fractional cover change. We then compared these potential rates against observed change rates for the period 1986 to 2018 to identify areas of the CONUS where vegetation change is likely being limited by climatic conditions. This dataset contains the input and the resulting rasters for the study which include a) the observed rates of vegetation change, b) the climate derived potential vegetation rates of change, c) the difference between potential and observed values and d) the identified climatic limiting factor.</p>
High-Resolution Vegetation Distribution (HRVD) dataset
<p><strong>High-Resolution Vegetation Distribution (HRVD) dataset</strong> was developed by integrating multiple datasets, including the China multi-period land use/cover change remote sensing monitoring dataset (CNLUCC), MODIS MCD12Q1 land cover product, and Vegetation Atlas of China (1:1,000,000). The HRVD dataset provided vegetation distribution data in China in 2020 with a horizontal resolution of 1 km. <br><em>The HRVD dataset includes tree, shrub, herb, and crop, corresponding to the value of 1, 2, 3, and 4 in the attribute table, respectively.</em></p>
FIGURES 21–30 in Auxosporulation, morphology of vegetative cells and perizonium of Fallacia tenera (Hust.) D.G. Mann (Bacillariophyceae)
FIGURES 21–30: The fine structure of a complete cingulum. Bars in Figs 21, 22, 28 are 2 µm. Bars in Figs 23–27 and Fig. 28 are 1 µm. The bar in Fig. 30 is 500 nm. Fig. 21. A complete theca, two ligulae (arrow and arrowhead) of pleurae could been found at the two terminals. Fig. 22. An open valvocopula with undulate margin. Fig. 23. The internal view of a ligula (arrow) of the pleura 2 (the third band). Fig. 24. The external view of the ligula (arrow) of the pleura 2 (the third band). Fig. 25. The external view of a ligula of the pleura 1 (the second band). Fig. 26. The internal view of the ligula (arrowhead) of the pleura 1 (the second band). Fig. 27. The linear strip (arrow) of the pleura 2 (the third band). Fig. 28. The two terminals of the linear strips (arrows) of the pleura 2 (the third band). Fig. 29. The linear strip (arrow) of pleura 2 (the third band) and the linear strip (arrowhead) of pleura 1 (the second band). Fig. 30. The two terminals (arrowheads) of pleura 1 (the second band).
FIGURES 9–20 in Auxosporulation, morphology of vegetative cells and perizonium of Fallacia tenera (Hust.) D.G. Mann (Bacillariophyceae)
FIGURES 9–20: The fine structure of Fallacia tenera in SEM and TEM. All Scale bars = 1 µm except Figs 9, 10, 18 (2 µm) and Figs 19–20 (200 nm). Figs 9–10. Plan view (Figs 19–20) of external valve face and internal valve face. Figs 11–12. View of external and internal valve face at 30°tilt. Fig. 13. The detail of a frustule terminal. Note the finely porous conopeum (arrow) and two pores (arrowhead) lies beside the terminal fissures. Fig. 14. The broken valve shows a round areola (arrow) which should be covered by a conopeum and a "peg" (arrowhead), a silica flip. Fig. 15. The broken valve showing the depressed sterna (arrow). And also the "peg" (arrowhead) extend from the edge of the valve mantle. Fig. 16. The undulate margin of the conopeum. Fig. 17. The lumen between the conopeum and the valve (arrow), connecting outside through the terminal pores (arrowhead). Fig. 18. TEM photograph of a valve clearly shows the hyaline canal (arrowhead) and some silica structures (arrow) supporting the conopeum. Figs 19–20. The pattern of the areolae in longitudinal lines on the valve surface (fig. 19. Areolae are between the raphe and the canal, fig. 20, left) and on the mantle of valve. (fig. 20, right). They all belong to hexagonal array of hymen.
Data and code for "Topography and climate drive recent shifts in vegetation productivity dynamics"
<p>This zip file includes data and code for manuscript "<span><span>Topography and climate drive recent shifts in vegetation productivity dynamics</span></span>".</p>
Datasets and relevant code in the Manuscript "Estimation of fire counts and fire radiative power using satellite optical and microwave vegetation indices with random forest method"
<p>1. multiyears_season_fire_ndvi_fwi_edvi_0.25.mat<br>Multiyear averages of ln (FC), ln (FRP), DMC, ISI, EDVI10-18, EDVI18-36, and NDVI over East Asia in 2003–2010</p> <p>2. RF_edvi_data.mat<br>Estimated FC and FRP based on RF model with EDVIs and NDVI </p> <p>3.RF_fwis_data.mat<br>Estimated FC and FRP based on RF model without EDVIs and NDVI </p> <p>4. temporal_variations.mat<br>East Asia Regional Time Series Dataset</p> <p>5.rf_train_cv_forest_review.py<br>Random forest model python code</p>
Data and code for 'Global disparity in synergy of solar power and vegetation growth'
<p>The 'stepwisefit' requires Statistics and Machine Learning Toolbox installed in the MATLAB to run the code. The import data are attached.</p>
A long-term 250-m resolution Normalized Difference Vegetation Index (NDVI) product for 1982–2020 in Idaho
<ol> <li>We developed a novel spatio-temporal fusion method to downscale the AVHRR NDVI products to the Moderate-resolution Imaging Spectroradiometer (MODIS) resolution. The algorithm effectively combines the high spatial variability of the MODIS NDVI data and the long-term temporal information of the AVHRR NDVI data. Finally, we successfully generated a monthly global long-term (since 1982) and high-resolution (250m) NDVI database.</li> <li>Here we provide the downscaled NDVI dataset of Idaho from 1982 to 2020.</li> <li>Datasets for other regions can be easily produced by the GEE platform with the code provided in the github (https://github.com/babyfoal/downsclaed_NDVI/tree/main).</li> <li>The spatial distribution and temporal variation of this dataset have been both well validated by the simulated and real-data experiments. </li> </ol>
Distribution. Widespread in the C and W regions of S Africa, reaching to about 15° N in SW Angola. Occupies mainly arid and semi-arid areas, but also occurs in regions with higher precipitation and denser vegetation, such as the fynbos biome of South Africa's Western Cape Province. Cape Foxes have expanded their range over recent decades to the SW, where the species reaches the Atlantic and Indian Ocean coastlines. May occur in SW Swaziland, and possibly also in Lesotho. in Canidae
Distribution. Widespread in the C and W regions of S Africa, reaching to about 15° N in SW Angola. Occupies mainly arid and semi-arid areas, but also occurs in regions with higher precipitation and denser vegetation, such as the fynbos biome of South Africa's Western Cape Province. Cape Foxes have expanded their range over recent decades to the SW, where the species reaches the Atlantic and Indian Ocean coastlines. May occur in SW Swaziland, and possibly also in Lesotho.
Urban runoff and stream channel incision interact to influence riparian soils and understory vegetation
<p>Riparian soil processes and vegetation are sensitive to water availability. Urbanization can alter riparian water availability by modifying stream flows and stream channel morphology. In cities, runoff from impervious surfaces tends to increase stormflow magnitudes, causing stream channels to incise, or downcut. This change in channel morphology has been linked to lowered water tables and drier conditions in temperate urban riparian zones, leading to shifts in riparian nitrogen (N) cycling and vegetation communities. In Mediterranean climates with distinct wet and dry periods, there is an additional dynamic to consider: runoff from urban water use can cause streams to flow when they would otherwise be dry. This dry-season stream flow could create increased, rather than decreased, water availability in urban riparian zones. However, channel incision may counteract this effect. We asked whether dry-season stream flow interacted with channel incision to influence riparian soil characteristics and understory vegetation along streams in Sacramento, California, which has a Mediterranean climate with an intense summer dry season. At 40 stream reaches that varied by severity of downcutting and presence of dry-season flow, we sampled soils and vegetation on top of stream banks and at the margin of the low-flow channel, an important location for nutrient cycling in dry climates. We measured soil moisture, organic matter, and ∂15N, as well as total and perennial understory vegetation cover. We found that channel characteristics associated with incision limited the influence of dry-season stream flow on soil moisture, and this interaction appears to have lasting effects on soil organic matter and perennial vegetation on bank tops. At the stream margin, channel downcutting was associated with reduced soil organic matter and vegetation cover, while dry-season flow was associated with increased vegetation cover. Values of soil ∂15N pointed to limited hydrologic linkage between stream flows and riparian bank soils along incised streams. Our findings suggest that channel incision could limit the ability of urban riparian ecosystems to mitigate low-flow water quality. However, where streams are not incised in Mediterranean climates, dry-season flows from urban runoff may actually increase riparian productivity and N cycling above historical levels. </p>
FIGURE. Morphology of the studied Coelastrella strains. (4) IRK–A 2. (5) IRK–A 173. (А–D) vegetative cells and autosporangia. (E–G) cell wall ribs. (H) morphology of the old cells. Scale bar: 10μm. in Morphological and phylogenetic relations of members of the genus Coelastrella (Scenedesmaceae, Chlorophyta) from the Ural and Khentii Mountains (Russia, Mongolia)
FIGURE. Morphology of the studied Coelastrella strains. (4) IRK–A 2. (5) IRK–A 173. (А–D) vegetative cells and autosporangia. (E–G) cell wall ribs. (H) morphology of the old cells. Scale bar: 10μm.
Maps of relevant snow and frost parameters for the analysis of future vegetation changes in Swiss forests
<p>The latest climate scenarios for Switzerland (CH2018) predict significant changes in temperature and precipitation in the future. This dataset contains maps snow and frost parameters calculated from climate variables that might have significant influence on future forest development. The following factors were calculated for the reference period 1981 - 2010 and the future period 2070 - 2099: Mean first and mean last frost day of the year, date of freezing and thawing of the ground, start and end of constant snow layer, risk of drought caused by frozen ground, wet snow intensity, probability of tree damages because of wet snow. Three different results were calculated for the period 2070 - 2099, based on three different representative concentration pathways (RCP2.6, RCP4.5, RCP8.5, CH2018). Explanations concerning model structure, usability and uncertainties in the data sets can be found in the project report.</p>
Data for "Modeling the short-term fire effects on vegetation dynamics and surface energy in southern Africa"
<p>This is the data used for "Modeling the short-term fire effects on vegetation dynamics and surface energy in southern Africa using the improved SSiB4/TRIFFID-Fire model". The data includes two folders: fireon and fireoff representing the scenarios with the fire model turned on and off. Each folder includes 14 years of data from 2000-2013.</p>
Characterization of Site-Specific Vegetation Activity in Alaskan Wet and Dry Tundra as Related to Climate and Soil State DATA
<p>We present discrete (2-hour resolution) multi-year (2008 – 2017) <em>in situ </em>measurements of seasonal vegetation growth and soil biophysical properties from two sites on Alaska’s North Slope, USA, representing dry and wet sedge tundra. We examine measurements of vertical active soil layer temperature and soil moisture profiles (freeze/thaw status), woody shrub vegetation physiological activity, and meteorological site data to assess interrelationships within (and between) these two study sites.</p> <p>Vegetation phenophases (cold de-hardening start, physiological function start, stem growth start, stem growth end, physiological function end, cold hardening completion) were found to have greater inter-annual Day-Of-Year (DOY) occurrence variability at the dry site compared to the wet site. At the dry site, vegetation activity begins on average ~ 7 days earlier and ends ~ 11 days earlier. The mean active stem growth window lasts ~ 54 days for the dry site and ~51 days for the wet site. Vegetation, in both tundra environments, began cold de-hardening functions (warm season prep) prior to atmospheric temperatures warming above 0°C. Similar results were found related to the critical soil freeze/thaw/transition dates; the dry site had a DOY phenophase occurrence range that was 8 days larger than that of the wet site. A longer continuous summer thaw period was captured at the wet site by ~ 26 days throughout the active layer. In addition, the dry site was measured to have longer spring and fall soil isothermal conditions than the wet site by ~ 9 and 5 days throughout the active layer. These results show that the dry site’s willow shrub vegetation physiology and soil condition phenology is more variable than the wet site.</p> <p>Alongside the <em>in situ</em> data, a remote sensing product from NASA’s MEaSUREs program was utilized; our research indicates that the AMSR derived satellite product is more precise over the wet tundra site with critical date alignment between remote sensing observations and <em>in situ</em> measurements ranging from ~ 4 to 11 days. Furthermore, the AMSR product was shown to preemptively estimate land surface condition change during the spring transition for both tundra types while lagging during the fall transition and freeze-up periods.</p>
Data for Matsala et al. (2021) paper in Applied Vegetation Science journal
<p>Data to run models described in Matsala et al. (2021) paper in Applied Vegetation Science journal.</p>
FIGURE 3. Salvia pringlei B.L.Rob. & Greenm. A–C in Salvia beltraniorum (Lamiaceae), a new species in savannoid vegetation from Cosalá, Sinaloa, Mexico
FIGURE 3. Salvia pringlei B.L.Rob. & Greenm. A–C Different captures of the inflorescence. D Detail of the flower. E Corolla. Photographs: Edgar R. Gómez-Vega (A) and Jesús G. González-Gallegos (B–E, C & E, previously published in González-Gallegos et al. 2016).
FIGURE 2 in Salvia beltraniorum (Lamiaceae), a new species in savannoid vegetation from Cosalá, Sinaloa, Mexico
FIGURE 2. Distribution of Salvia beltraniorum (black star) and similar species, S. pringlei (black squares) and S. rosei (black dots) [There is also an observation in Naturalista (2021) from northern Sinaloa preliminary identified as S. pringlei, but it is necessary to verify the kind of the indumentum in stems and leaves: https://www.naturalista.mx/observations/12974822].
FIGURE 1. Salvia beltraniorum J.G in Salvia beltraniorum (Lamiaceae), a new species in savannoid vegetation from Cosalá, Sinaloa, Mexico
FIGURE 1. Salvia beltraniorum J.G.González, Pío-León & Art.Castro. A Section of the stem showing the pubescence. B Leaf blade. C Inflorescence in early fructification. D Inflorescence with floral buds and bracts. E & F Lateral view of the flowers. G Corolla frontal view. H Corolla. Photographs: Arturo Castro-Castro (F) and Jesús G. González-Gallegos (A–E, G & H).
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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.