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691 results for “vegetation data”
Data from: Linking biological soil crust attributes to the multifunctionality of vegetated patches and interspaces in a semiarid shrubland
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Data from: The role of plant-soil feedbacks in stabilizing a reindeer-induced vegetation shift in subarctic tundra
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Data from: Use and categorization of Light Detection and Ranging vegetation metrics in avian diversity and species distribution research
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Data from: Hide and seek in vegetation: time-to-detection is an efficient design for estimating detectability and occurrence
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Data from: Maintenance of high genome integrity over vegetative growth in the fairy-ring mushroom Marasmius oreades
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Data from: Pervasive early 21st-century vegetation changes across Danish semi-natural ecosystems – more losers than winners and a shift towards competitive, tall-growing species
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Data from: Habitat connectivity and in-stream vegetation control temporal variability of benthic invertebrate communities
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Data from: Burrowing by translocated boodie (Bettongia lesueur) populations alters soils but has limited effects on vegetation
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Data from: Insect visual sensitivity to long wavelengths enhances colour contrast against vegetation
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Data from: Multi-decadal vegetation transformations of a New Mexico ponderosa pine landscape after severe fires and aerial seeding
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Data from: From lidar waveforms to vegetation products: 7380 km2 of high-resolution airborne and simulated GEDI data over Sierra Nevada, California
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Data in support of capturing functional strategies and compositional dynamics in vegetation demographic models
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Restore Centre of Excellence: High-resolution mapping of Louisina vegetation remote sensing data for surge modelling
<p>Satellite derived Leaf Area Index map of the Louisiana coast, translated into plant dimensions using field data from CMRS stations and dedicated project sampling. Plant dimensions have been used to prescribe hydraulic roughness fields for a hydrodynamic model (Delft3D) used to asses the effect of wetlands on storm surge levels.</p>
Data repository from Boudewijn van Lieshout' thesis A comparison between Normalized Difference Vegetation Indices calculated from Sentinel 2A satellite data and high-resolution UAV imagery in Tanzania
<p>Monitoring vegetation is imperative for policy design and efficiency measurements. Frequent data collection, easy and inexpensive accessibility of images and the possibility of large area analysis, makes it still valuable to use satellite imagery. This study aims to examine how a Normalized Difference Vegetation Index (NDVI) measured with Sentinel-2A satellite data relates to an NDVI from Unmanned Aerial Vehicles (UAV henceforth) in study areas Chamwino Mlimwa and Chemba Waida, Tanzania.</p>
Data for "Fine-scale tundra vegetation patterns are strongly related to winter thermal conditions"
<p>This page links to the data and code associated with the publication Niittynen et al. (In Press). "Fine-scale tundra vegetation patterns are strongly related to winter thermal conditions".</p> <p>The dataset contains fine-scale microclimatic, soil and species (vascular plant, bryophyte and lichen) data from three Arctic areas.The environmental data and analyses are describes in the linked publication.</p>
Data from: Living with floating vegetation invasions
<p>Shapefiles of locations of 20 reservoirs and river systems.</p> <p>CSV-files with time series of floating vegetation occurence on 20 reservoirs and river systems based on Landsat imagery</p>
Dataset: Species presence, trait and philogeny database. Data from: Shift from trait convergence to divergence along old field succession. Journal of Vegetation Science.
<p>This dataset was use in the manuscript "Shift from trait convergence to divergence along old field succession" publish at Journal of Vegetation Science. It contains the data of species presence at three different plots and species trait values (SLA, LDMC, height, seed weight and Phylogeny). We show that at the initial stage of succession, there is a scale-invariant pattern of trait convergence. On the contrary, in the late and intermediate stages of succession we observed that trait divergence became frequent at smaller grains and extents. The trend along the chronosequence is consistent with the theoretical hypothesis that predicts a shift from convergence to divergence along succession.</p>
Data from: Digital photography provides a fast, reliable and non-invasive method to estimate anthocyanin pigment concentration in reproductive and vegetative plant tissues
1. Anthocyanin pigments have become a model trait for evolutionary ecology since they often provide adaptive benefits for plants. Anthocyanins have been traditionally quantified biochemically, or more recently using spectral reflectance. However, both methods require destructive sampling and can be labour intensive and challenging with small samples. Recent advances in digital photography and image processing make it the method of choice for measuring colour in the wild. Here, we use digital images as a quick, non-invasive method to estimate relative anthocyanin concentration among plants exhibiting colour variation. 2. By using a consumer-level digital camera and a free image processing toolbox, we extracted RGB values from digital images to generate colour indices. We tested petals, stems, pedicels and calyces of six species, which contain different types of anthocyanin pigments and exhibit different pigmentation patterns. Colour indices were assessed by their correlation to biochemically determined anthocyanin concentration. For comparison, we also calculated colour indices from spectral reflectance and tested the correlation with anthocyanin concentration. 3. Indices perform differently depending on the nature of the colour variation. For both digital images and spectral reflectance, the most accurate estimates of anthocyanin concentration emerge from anthocyanin content-chroma ratio (ACCR), anthocyanin-chroma basic (ACCB) and strength of green (S green) indices. Some colour indices derived from digital images and spectral reflectance strongly correlate with biochemically determined anthocyanin concentration, but the estimates from digital images performed better than spectral reflectance in terms of 2 and normalized root-mean-square error. This was particularly noticeable in a species with striped petals, but in the case of striped calyces both methods showed a comparable relationship with anthocyanin concentration. 4. Using digital images brings new opportunities to accurately quantify the anthocyanin concentration in both floral and vegetative tissues. This method is efficient, completely non-invasive, applicable to both uniform and patterned colour, and works with samples of any size.
Data from: Fractal measures of spatial pattern as a heuristic for return rate in vegetative systems
Measurement of population persistence is a long-standing problem in ecology; in particular, whether it is possible to gain insights into persistence without long time-series. Fractal measurements of spatial patterns, such as the Korcak exponent or boundary dimension, have been proposed as indicators of the persistence of underlying dynamics. Here we explore under what conditions a predictive relationship between fractal measures and persistence exists. We combine theoretical arguments with an aerial snapshot and time series from a long-term study of seagrass. For this form of vegetative growth, we find that the expected relationship between the Korcak exponent and persistence is evident at survey sites where the population return rate can be measured. This highlights a limitation of the use of power-law patch-size distributions and other indicators based on spatial snapshots. Moreover, our numeric simulations show that for a single species and a range of environmental conditions that the Korcak–persistence relationship provides a link between temporal dynamics and spatial pattern; however, this relationship is specific to demographic factors, so we cannot use this methodology to compare between species.
Data from: Urine is an important nitrogen source for plants irrespective of vegetation composition in an Arctic tundra: insights from a 15N-enriched urea tracer experiment
1. Mammalian herbivores can strongly influence nitrogen (N) cycling and herbivore urine could be a central component of the N cycle in grazed ecosystems. Despite its potential role for ecosystem productivity and functioning, the fate of N derived from urine has rarely been investigated in grazed ecosystems. 2. This study explored the fate of <sup>15</sup>N-enriched urea in tundra sites that have been either lightly or intensively grazed by reindeer for more than 50 years. We followed the fate of the <sup>15</sup>N applied to the plant canopy, at 2 weeks and 1 year after tracer addition, in the different ecosystem N pools. 3. <sup>15</sup>N-urea was rapidly incorporated in cryptogams and in aboveground parts of vascular plants, while the soil microbial pool and plant roots sequestered only a marginal proportion. Further, the litter layer constituted a large sink for the <sup>15</sup>N-urea, at least in the short term, indicating a high biological activity in the litter layer and high immobilization in the first phases of organic matter decomposition. 4. Mosses and lichens still constituted the largest sink for the <sup>15</sup>N-urea 1 year after tracer addition at both levels of grazing intensity demonstrating their large ability to capture and retain N from urine. Despite large fundamental differences in their traits, deciduous and evergreen shrubs were just as efficient as graminoids in taking up the <sup>15</sup>N-urea. The total recovery of <sup>15</sup>N-urea was lower in the intensively grazed sites, suggesting that reindeer reduce ecosystem N retention. 5. <i>Synthesis</i> The rapid incorporation of the applied <sup>15</sup>N-urea indicates that arctic plants can take advantage of a pulse of incoming N from urine. In addition, δ <sup>15</sup>N values of all taxa in the heavily grazed sites converged towards the δ <sup>15</sup>N values for urine, bringing further evidence that urine is an important N source for plants in grazed tundra ecosystems.
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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.