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833 results for “Consistency”
Data from: The 2018 European heatwave led to stem dehydration but not to consistent growth reductions in forests
<p>Heatwaves exert disproportionately strong and sometimes irreversible impacts on forest ecosystems. These impacts remain poorly understood at the tree and species level and across large spatial scales. Here, we investigate the effects of the record-breaking 2018 European heatwave on tree growth and tree water status using a collection of high-temporal resolution dendrometer data from 21 species across 53 sites. Relative to the two preceding years, annual stem growth was not consistently reduced by the 2018 heatwave but stems experienced twice the temporary shrinkage due to depletion of water reserves. Conifer species were less capable of rehydrating overnight than broadleaves across gradients of soil and atmospheric drought, suggesting less resilience toward transient stress. In particular, Norway spruce and Scots pine experienced extensive stem dehydration. Our high-resolution dendrometer network was suitable to disentangle the effects of a severe heatwave on tree growth and desiccation at large-spatial scales in situ, and provided insights on which species may be more vulnerable to climate extremes.</p>
Fig. 17. Impatiens gesneroidea. A & C–E in Evolution of Impatiens (Balsaminaceae) in the Albertine Rift – The endemic Impatiens purpureoviolacea complex consists of ten species
Fig. 17. Impatiens gesneroidea. A & C–E, Detail of habit with flower in lateral view; B, Flower, frontal view. — A–E, Fischer 11021, Rwanda, Nyungwe National Park, Mt. Bigugu.
Fig. 16 in Evolution of Impatiens (Balsaminaceae) in the Albertine Rift – The endemic Impatiens purpureoviolacea complex consists of ten species
Fig. 16. Impatiens ×troupinii. A, Habit; B, Flower, frontal view; C, Flower, lateral view; D, Flower, lateral view (middle), with flowers of Impatiens purpureoviolacea (left) and I. gesneroidea (right). E & F, Detail of habit. — A–D, Fischer 13912, Rwanda, Rukarara; E & F, Rwanda, Uwinka, not collected.
Fig. 15. Impatiens versicolor. A in Evolution of Impatiens (Balsaminaceae) in the Albertine Rift – The endemic Impatiens purpureoviolacea complex consists of ten species
Fig. 15. Impatiens versicolor. A, Detail of habit; B, C & E, Flower, frontal view; D & F, Flower, lateral view. — A–F, Fischer 13390, Rwanda, between Pindura and Bweyeye.
Fig. 18. Impatiens superglabra. A & E in Evolution of Impatiens (Balsaminaceae) in the Albertine Rift – The endemic Impatiens purpureoviolacea complex consists of ten species
Fig. 18. Impatiens superglabra. A & E, Detail of habit; B, D & F, Flower, lateral view; C, Flower, frontal view. — A–F, Fischer 9765, Democratic Republic of the Congo, Kahuzi-Biéga National Park, Mt. Kahuzi.
Fig. 14. Impatiens elwiraurzulae. A in Evolution of Impatiens (Balsaminaceae) in the Albertine Rift – The endemic Impatiens purpureoviolacea complex consists of ten species
Fig. 14. Impatiens elwiraurzulae. A, Leaf, upper surface; B, Leaf, lower surface; C & D, Inflorescence; E, Flower; F, Lower sepal with spur; G, Dorsal petal; H & I, Lateral united petals; J, Bracts, pedicel, lateral sepals and anthers. — Scale bar: 1 cm. A–J, Dumbo & Dumbo s.n., Democratic Republic of the Congo, Mulolo.
Fig. 12. Impatiens ludewigii. A & C in Evolution of Impatiens (Balsaminaceae) in the Albertine Rift – The endemic Impatiens purpureoviolacea complex consists of ten species
Fig. 12. Impatiens ludewigii. A & C, Habit; B, Flowers (left, middle), right a flower of Impatiens purpureoviolacea; D, Flower, frontal view; E, Flower, lateral view. — A & C, Fischer 14500, Rwanda, Uwinka. B, D & E, Fischer 13914, Rwanda, Gisovu.
Fig. 13. A–D, Impatiens elwiraurzulae. A & C in Evolution of Impatiens (Balsaminaceae) in the Albertine Rift – The endemic Impatiens purpureoviolacea complex consists of ten species
Fig. 13. A–D, Impatiens elwiraurzulae. A & C, Flower, frontal view; B, Flower, lateral view; D, Flower showing only slightly coiled spur. E, Impatiens lotteri, detail of habit with flower. — A–D, Dumbo & Dumbo s.n., Democratic Republic of the Congo, Mulolo; E, Lotter 1542, Democratic Republic of the Congo, Ulindi River (Photo: M.C. Lotter).
Fig. 10. Impatiens urundiensis. A in Evolution of Impatiens (Balsaminaceae) in the Albertine Rift – The endemic Impatiens purpureoviolacea complex consists of ten species
Fig. 10. Impatiens urundiensis. A, Detail of habit; B, Flower, lateral view; C, Flower, frontal view; D, Flower, dorsal view. — A–D, Fischer 13301, Burundi, Kumuyange.
Fig. 9. Impatiens lutzmannii. A in Evolution of Impatiens (Balsaminaceae) in the Albertine Rift – The endemic Impatiens purpureoviolacea complex consists of ten species
Fig. 9. Impatiens lutzmannii. A, Habit; B, Flower, frontal view; C & D, Flower, lateral view. — A–D, Fischer 13002, Burundi, Bururi Forest Reserve.
Fig. 8. Impatiens kivuensis. A & C in Evolution of Impatiens (Balsaminaceae) in the Albertine Rift – The endemic Impatiens purpureoviolacea complex consists of ten species
Fig. 8. Impatiens kivuensis. A & C, Details of habit; B, Flower, frontal view; D, Flower, lateral view. — A–D, Fischer 13451, Burundi, Kibira National Park, Mt. Teza.
Fig. 6 in Evolution of Impatiens (Balsaminaceae) in the Albertine Rift – The endemic Impatiens purpureoviolacea complex consists of ten species
Fig. 6. Seeds of the Impatiens purpureoviolacea complex. A–C, Impatiens ludewigii: A & B, Seed; C, Detail of testa. D & E, Impatiens versicolor: D, Seed; E, Detail of testa. F & G, Impatiens gesneroidea: F, Seed; G, Detail of testa. — Scale bars: A, 600 μm; B, 500 μm; C, 100 μm; D, 400 μm; E, 70 μm; F, 400 μm; G, 100 μm. A–C, Fischer 13912, BG Bonn 37754; D & E, Fischer 13988, BG Bonn 34557; F & G, Fischer 11021, BG Bonn 32578.
Fig. 4 in Evolution of Impatiens (Balsaminaceae) in the Albertine Rift – The endemic Impatiens purpureoviolacea complex consists of ten species
Fig. 4. Seeds of the Impatiens purpureoviolacea complex. A & B, Impatiens purpureoviolacea: A, Seed; B, Detail of testa. C & D, Impatiens lutzmannii: C, Seed; D, Detail of testa. E & F, Impatiens urundiensis: E, Seed; F, Detail of testa. — Scale bars: A, 300 μm; B, 60 μm; C, 500 μm; D, 80 μm; E, 500 μm; F, 90 μm. A & B, Fischer 12958, BG Bonn 36240; C & D, Fischer 13002, BG Bonn 33486; E & F, Fischer 13301, BG Bonn 35170.
Fig. 5 in Evolution of Impatiens (Balsaminaceae) in the Albertine Rift – The endemic Impatiens purpureoviolacea complex consists of ten species
Fig. 5. Seeds of the Impatiens purpureoviolacea complex. A & B, Impatiens kivuensis: A, Seed; B, Detail of testa. C & D, Impatiens ×troupinii: C, Seed; D, Detail of testa. E & F, Impatiens elwiraurzulae: E, Seed; F, Detail of testa. — Scale bars: A, 400 μm; B, 70 μm; C, 300 μm; D, 90 μm; E, 700 μm; F, 100 μm. A & B, Fischer 13451, BG Bonn 34557; C & D, Fischer 13912, BG Bonn 37754; E & F, Dumbo & Dumbo s.n., BG Bonn 39658.
Fig. 3 in Evolution of Impatiens (Balsaminaceae) in the Albertine Rift – The endemic Impatiens purpureoviolacea complex consists of ten species
Fig. 3. Distribution map of the two bird-pollinated species from the Impatiens purpureoviolacea complex.
Fig. 2 in Evolution of Impatiens (Balsaminaceae) in the Albertine Rift – The endemic Impatiens purpureoviolacea complex consists of ten species
Fig. 2. Distribution map of the eight insect-pollinated species of the Impatiens purpureoviolacea complex. Dots indicate species with hairy ovaries, and stars mark species with glabrous ovaries.
Fig. 1 in Evolution of Impatiens (Balsaminaceae) in the Albertine Rift – The endemic Impatiens purpureoviolacea complex consists of ten species
Fig. 1. Maximum clade credibility tree of the Impatiens purpureoviolacea complex as obtained via the BEAST dating analysis. Node bars indicate 95% highest posterior density confidence intervals. Support values of the MP, ML and BI analyses are shown on the branches.
Model output for "Numerically consistent budgets of potential temperature, momentum, and moisture in Cartesian coordinates: application to the WRF model"
<p>These data were produced with WRFlux v1.2.1 (https://github.com/matzegoebel/WRFlux/) from a numerical simulation with the community model WRF. Simulations represent the evolution of a convective boundary layer in the atmosphere over an idealized 2D mountain ridge. The data are published in connection with the article "Numerically consistent budgets of potential temperature, momentum and moisture in Cartesian coordinates: Application to the WRF model" in "Geoscientific Model Development" (https://doi.org/10.5194/gmd-15-669-2022).</p> <p>Three-dimensional (x, z, t) fields of five prognostic variables are provided: Potential temperature (T), water vapor mixing ratio (Q), cross-mountain (U), along-mountain (V), and vertical windspeed (W). All fields are averaged in time (30 min averaging interval) and in the along-mountain direction y.</p> <p>The repository contains the following files:</p> <p>grid.nc : variables related to the WRF numerical grid, air density<br> [U,W,T,Q]_flux.nc : resolved and subgrid-scale fluxes<br> [U,W,T,Q]_tendency.nc : resolved and subgrid-scale tendency components<br> UVWT_MEAN.nc : averaged values of the variables themselves<br> plotting.py : python script to approximately reproduce the figures of the paper. Requires the python packages matplotlib, xarray, and netcdf4.</p> <p>Figure 6 in the paper cannot be accurately reproduced with these data since the original figure uses 4D (x, y, z, t) output.</p> <p>For details on the simulation, refer to the article.</p>
Supplementary material for: Phylogeny and biogeography of the ancient spider family Filistatidae (Araneae) is consistent both with long-distance dispersal and vicariance following continental drift
<p>Raw data and input files for phylogenetic and biogeographic analysis of the article "<strong>Phylogeny and biogeography of the ancient spider family Filistatidae (Araneae) is consistent both with long-distance dispersal and vicariance following continental drift</strong>".</p> <p><strong>Supplementary material S1. </strong>Matrix of phenotypic characters in .ss format.</p> <p><strong>Supplementary material S2. </strong>Alignment of COI sequences in fasta format..</p> <p><strong>Supplementary material S3. </strong>Alignment of H3 sequences in fasta format.</p> <p><strong>Supplementary material S4. </strong>Alignment of 16S sequences in fasta format before trimming with gblocks.</p> <p><strong>Supplementary material S5. </strong>Alignment of 28S sequences in fasta format before trimming with gblocks.</p> <p><strong>Supplementary material S6. </strong>Input for running parsimony analysis using TNT (phenotypic data only).</p> <p><strong>Supplementary material S7. </strong>Input for running Bayesian inference using MrBayes (phenotypic data only).</p> <p><strong>Supplementary material S8. </strong>Input for running parsimony analysis using TNT (sequence data only).</p> <p><strong>Supplementary material S9. </strong>Input for running Bayesian inference using MrBayes (sequence data only).</p> <p><strong>Supplementary material S10. </strong>Input for running parsimony analysis using TNT (total evidence).</p> <p><strong>Supplementary material S11. </strong>Input for running Bayesian inference using MrBayes (total evidence).</p> <p><strong>Supplementary material S12. </strong>Input for running parsimony analysis using TNT (total evidence, dataset with reduced number of terminals).</p> <p><strong>Supplementary material S13. </strong>Input for running Bayesian inference using MrBayes (total evidence, dataset with reduced number of terminals).</p> <p><strong>Supplementary material S14. </strong>Input for running Bayesian inference using MrBayes (total evidence) and estimating node ages using tip-dating.</p> <p><strong>Supplementary material S15. </strong>Input for running Bayesian inference using Beast (sequence data only) and estimating node ages using node-dating.</p> <p><strong>Supplementary material S16. </strong>Raw geographic distances among areas in each time slice and dispersal probability matrices for each biogeographic model.</p> <p><strong>Supplementary material S17. </strong>Inputs for estimating ancestral ranges and performing biogeographic stochastic maps for our dataset.</p> <p><strong>Supplementary material S18. </strong>Consensus tree found with parsimony analysis using TNT (phenotypic data only).</p> <p><strong>Supplementary material S19. </strong>Consensus tree found with Bayesian inference using MrBayes (phenotypic data only).</p> <p><strong>Supplementary material S20. </strong>Consensus tree found with parsimony analysis using TNT (sequence data only).</p> <p><strong>Supplementary material S21. </strong>Consensus tree found with Bayesian inference using MrBayes (sequence data only).</p> <p><strong>Supplementary material S22. </strong>Consensus tree found with parsimony analysis using TNT (total evidence).</p> <p><strong>Supplementary material S23. </strong>Consensus tree found with Bayesian inference using MrBayes (total evidence).</p> <p><strong>Supplementary material S24. </strong>Consensus tree found with parsimony analysis using TNT (total evidence, dataset with reduced number of terminals).</p> <p><strong>Supplementary material S25. </strong>Consensus tree found with Bayesian inference using MrBayes (total evidence, dataset with reduced number of terminals).</p> <p><strong>Supplementary material S26. </strong>Consensus tree found with Bayesian inference using MrBayes (total evidence) and with node ages estimated using tip-dating.</p> <p><strong>Supplementary material S27. </strong>Maximum clade credibility tree found with Bayesian inference using Beast (sequence data only) and with node ages estimated using node-dating.</p>
Supporting data files for "A consistent picture of phosphate-divalent cations binding from models with implicit and explicit electronic polarization"
<p>Additional supporting data for the paper "A consistent picture of phosphate-divalent cations binding from models with implicit and explicit electronic polarization". Includes parameter files, as well as typical input files and analysis scripts to reproduce the simulations.</p>
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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)
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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.