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583 results for “plant distributions”
Data from: Climate, soil resources and microbial activity shape the distributions of mountain plants based on their functional traits
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Data from: The influence of geomorphic processes on plant distribution and abundance as reflected in plant tolerance curves
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High resolution distribution modelling of a threatened short-range endemic plant informed by edaphic factors.
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Botanic gardens play key roles in the regional distribution of first records of alien plants in China
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Data from: Specialized mutualisms may constrain the geographical distribution of flowering plants
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Data from: Regional productivity mediates the effects of grazing disturbance on plant cover and patch-size distribution in arid and semi-arid communities
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Causes of differences in the distribution of the invasive plants Ambrosia artemisiifolia and Ambrosia trifida in Yili Valley, China
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What are the most crucial soil variables for predicting the distribution of mountain plant species? a comprehensive study in the Swiss Alps
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Data from: The role of functional strategies in global plant distribution
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Refugia during the last glacial period and the origin of the disjunct distribution of the insular plant Microtropis japonica (Celastraceae)
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Data from: Differential responses of sexual and asexual <em>Aphis gossypii</em> lineages to climate change: shifts in distribution, phenology, and host-plant interactions
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Environmental drivers of plant distributions at global and regional scales: occurrence data with associated environmental variables of plant families/genera/species
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Global Distribution of Plant-Extractable Water Capacity of Soil (Dunne)
Plant-extractable water capacity of soil is the amount of water that can be extracted from the soil to fulfill evapotranspiration demands. It is often assumed to be spatially invariant in large-scale computations of the soil-water balance. Empirical evidence, however, suggests that this assumption is incorrect. This data set provides an estimate of the global distribution of plant-extractable water capacity of soil. A representative soil profile, characterized by horizon (layer) particle size data and thickness, was created for each soil unit mapped by FAO (Food and Agriculture Organization of the United Nations)/Unesco. Soil organic matter was estimated empirically from climate data. Plant rooting depths and ground coverages were obtained from a vegetation characteristic data set. At each 0.5 x 0.5 degree grid cell where vegetation is present, unit available water capacity (cm water per cm soil) was estimated from the sand, clay, and organic content of each profile horizon, and integrated over horizon thickness. Summation of the integrated values over the lesser of profile depth and root depth produced an estimate of the plant-extractable water capacity of soil. The global average of the estimated plant-extractable water capacities of soil is 8.6 cm (Greenland, Antarctica and bare soil areas excluded). Estimates are less than 5, 10 and 15 cm - over approximately 30, 60, and 89 per cent of the area, respectively. Estimates reflect the combined effects of soil texture, soil organic content, and plant root depth or profile depth. The most influential and uncertain parameter is the depth over which the plant-extractable water capacity of soil is computed, which is usually limited by root depth. Soil texture exerts a lesser, but still substantial, influence. Organic content, except where concentrations are very high, has relatively little effect. The file is available in an ascii array format. The format is such that j=1 corresponds to the grid cell bounded by 90.0 and 89.5 degrees south latitude (centered on 89.75) and i=1 corresponds to the grid cell bounded by 0.0 and 0.5 degrees east longitude (centered on 0.25). No data are given for land ice grid cells, most of which occur in Antarctica and Greenland, or for other unvegetated areas. A value of -99.0 indicates either a water grid cell or a land ice grid cell. A value of -1.0 indicates that vegetation is absent (and the plant-extractable water capacity of soil is undefined). Units are cm. The data file may be read as follows: dimension whcdat(720,360) do j=1,360 read(iunit,'(36f5.1)') (whcdat(i,j),i=1,720) enddo Data Citation The data set should be cited as follows: Dunne, K. A., and Cort J. Willmott. 2000. Global Distribution of Plant-extractable Water Capacity of Soil (Dunne). Available on-line from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A.
Fig. 1 in New distributional records of non-native vascular plants in northern Italy
Fig. 1 - Bidens connatus, Bastida Pancarana (PV), September 2014 (Photo: N. Ardenghi).
Figure 1 from: Kipkoech S, Melly DK, Watuma Mwema B, Mwachala G, Musili PM, Hu G, Wang Q (2019) Conservation priorities and distribution patterns of vascular plant species along environmental gradients in Aberdare ranges forest. PhytoKeys 131: 91-113. https://doi.org/10.3897/phytokeys.131.38124
Figure 1 The location of Aberdare ranges forest, (i) two sections of forest (ii) map of Kenya.
Figure 4 in Immature stages, phenology, distribution and host plants of the Andean Moon Moth Cercophana frauenfeldii Felder, 1862 (Lepidoptera: Saturniidae)
Figure 4 Fourth instar Chaetotaxy of C. frauenfeldii.
Fig. 3 in Wild bees (Anthophila) of Porto Santo (Madeira Archipelago) and their habitats: species diversity, distribution patterns and bee-plant network *
Fig. 3: Distribution patterns of six wild-bee species (grid size 1km x 1 km).
Figure 1 from: Brosens D, Van Landuyt W, Vanhecke L (2012) Florabank1: a grid-based database on vascular plant distribution in the northern part of Belgium (Flanders and the Brussels Capital region). PhytoKeys 12: 59-67. https://doi.org/10.3897/phytokeys.12.2849
Figure 1 - Taxonomic coverage of Florabank1
Figure 1 from: Just A, Gourvil J, Millet J, Boullet V, Milon T, Mandon I, Dutrève B (2015) SIFlore, a dataset of geographical distribution of vascular plants covering five centuries of knowledge in France: Results of a collaborative project coordinated by the Federation of the National Botanical Conservatories. PhytoKeys 56: 47-60. https://doi.org/10.3897/phytokeys.56.5723
Figure 1 - Distribution of the dataset by family.
Figure 2 from: Just A, Gourvil J, Millet J, Boullet V, Milon T, Mandon I, Dutrève B (2015) SIFlore, a dataset of geographical distribution of vascular plants covering five centuries of knowledge in France: Results of a collaborative project coordinated by the Federation of the National Botanical Conservatories. PhytoKeys 56: 47-60. https://doi.org/10.3897/phytokeys.56.5723
Figure 2 - Temporal distribution of records by decade (shown on logarithmic scale).
ScienceDex guides
Understand access before you commit
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.