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22,710 results for “Plants for planting”
FIG. 21 in Architectures de plantes de l'Île Robinson Crusoe, archipel Juan Fernández, Chili
FIG. 21. — Lactoris fernandezia Phil., Lactoridaceae, est un arbrisseau charnu et fragile,aux noeuds renflés, ne dépassant pas 1,5 m. Quelle que soit la hauteur de la plante, sa partie distale se courbe à l'horizontale, formant un plateau assimilateur; ce dernier est vu par dessus en haut à droite. En bas, les tiges âgées s'affaissent; la réitération complète le buissonnement basal.
Greater reproductive assurance of asexual plant compared to sexual relative in a low density sympatric population – experimental evidence for pollen limitation
<p class="western"><span><span><span><span><span><span><span>This dataset contains data from a common garden experiment described in the paper: "</span></span></span></span></span></span><span><span><span><span>Mráz P</span><span><span>, Mrázová V. </span></span></span><span><span><span>2021. </span></span></span><span><span><span>Greater</span></span></span><span><span><span> reproductive assurance of asexual plant compared to sexual relative in a low density sympatric population – experimental evidence for pollen limitation. </span></span></span><i><span><span>Journal of Evolutionary Ecology</span></span></i> </span></span><span><span><span><span><span><span>". </span></span></span></span></span></span></span></p> <p class="western"><span><span><span>We compared the level and stability of reproductive assurance between sexual self-incompatible and asexual autonomously apomictic plants of <i>Hieracium alpinum</i> (Asteraceae) cultivated in a sympatric low-density population with two levels of spatial clumping of sexual plants. </span></span></span><span><span><span>Overall, we found that the realized seed set (i.e. proportion of well developed seeds per capitulum) of asexuals was ca. 3-times greater than that of sexuals (83% <i>versus</i> 27%), while the variance of this trait expressed as coefficient of variation was ca. 4-times smaller in asexuals compared to sexuals (19% <i>versus </i><span>83%)</span>. Solitary sexual plants had more than 2-times lower realized seed set when compared to clumps composed of two spatially close (20-30 cm) sexual plants (13% <i>versus</i> 34%). </span></span></span><span><span><span>Our study provides experimental evidence for benefit of uniparental reproduction of asexuals in a sympatric situation when the availability of mates is limited. This, together with unpredictability of pollinator environment could provide autonomous apomicts with an ultimate demographic superiority during colonization reflected in geographical parthenogenesis observed in this species. </span></span></span></p>
Midpoint attractor models resolve the mid-elevation peak in Himalayan plant species richness
<p>The midpoint attractor models (MPA) of species richness integrate a unimodal environmental favourability gradient and neutral effects forced by geometric constraints and thus extend ecologically neutral mid-domain model. However, both alternative MPA algorithms assume that underlying environmental favourability peaks within the modeling domain. Here, we used elevational distribution data for 1054 plant species occurring in NW Himalaya to explore species richness gradients and MPA performance in species groups defined by biogeography, taxonomy and life form. MPA models achieved an excellent fit, but the two MPA algorithms produced contrasting estimates of midpoint attractor location, especially for species groups with richness originating in lowlands. Therefore, we propose a modification of the MPA model accounting for the environmental favourability peak outside the study domain to reflect these situations. Biogeographic origin was more decisive for midpoint attractor location than taxonomic or life-form classification, indicating relatively low climatic niche conservatism in plants.</p>
Supplementary data for "Deep learning for industrial processes: Forecasting amine emissions from a carbon capture plant"
<p>A preliminary analysis of the data already has been discussed in <a href="https://dx.doi.org/10.2139/ssrn.3812299">10.2139/ssrn.3812299</a>.</p> <p><strong>Raw data</strong></p> <p>Raw measurement data is in the Excel files `day*_raw.xlsx`.</p> <p><strong>Model</strong></p> <p>Covariate and label scaler objects are serialized in joblib format in the following files:</p> <ul> <li>20210812_y_transformer_co2_ammonia_reduced_feature_set</li> <li>20210812_y_transformer__reduced_feature_set</li> <li>20210812_x_scaler_reduced_feature_set</li> </ul> <p>Checkpoints of the models are in the `*.pth.tar` files. An example for loading the models is:</p> <pre><code class="language-python">from pyprocessta.model.tcn import TCNModelDropout model_cov = TCNModelDropout( input_chunk_length=8, output_chunk_length=1, num_layers=5, num_filters=16, kernel_size=6, dropout=0.3, weight_norm=True, batch_size=32, n_epochs=100, log_tensorboard=True, optimizer_kwargs={"lr": 2e-4}, ) model_cov.load_from_checkpoint('20210814_2amp_pip_model_reduced_feature_set_darts')</code></pre> <p>which assumes that the checkpoints are placed as `model_best.pth.tar` in a folder called `20210812_2amp_pip_model_reduced_feature_set_darts`.</p> <p> </p>
Elevational range size patterns of vascular plants in Himalaya contradict Rapoport's rule
<p>1. Elevational range size patterns reflect ecological and evolutionary processes, but they are also affected by geometric constraints. The confounding effect of these constraints led to an ongoing controversy about the elevational Rapoport's rule, which postulates a positive association between the range size and elevation, and about the plausibility of the climate variability hypotheses as its causal explanation.</p> <p>2. Here we used an advanced null modelling approach to disentangle the interacting effects of geometric constraints and species richness gradients on the elevational range size of vascular plants. We collected extensive field data on elevational distribution for 728 vascular plant species occurring in the Ladakh region, Western Himalaya. We supplied these regional data with sub-continental elevational ranges extracted from the literature. Moreover, we used in-situ measured temperatures to quantify temperature variability along an elevational gradient to test the climate variability hypothesis.</p> <p>3. Observed range size patterns were sensitive to methods used to quantify the average range size. Range truncation disproportionately affected regional ranges of low-elevation species and resulted in spurious support of elevational Rapoport's rule. However, when the confounding effects of domain boundaries and richness gradient were controlled, our null models revealed only slight deviations from the random expectations of elevational range size patterns, contrasting with the prediction of the Rapoport's rule. In line with these findings, seasonal and diurnal temperature variability did not change with elevation.</p> <p>4. Synthesis: Geometric constraints combined with underlying species richness gradient create range size patterns seemingly supporting Rapoport´s elevational rule. However, null models accounting for these effects indicate that the range-size of vascular plants in the Himalayas does not increase with elevation. Given the universality of the geometric constraints and species richness gradient, our results suggest that these confounding factors must be controlled when testing Rapoport's rule. The null model approach described here provides an efficient tool to do that.</p>
Figure 22 in Jumping plant-lice of the family Phacopteronidae (Hemiptera: Psylloidea) from Cameroon
Figure 22. Pseudophacopteron spp. (A) P. fuscivenosum, galls on Deinbollia sp., upper leaf surface; (B) P. fuscivenosum, galls on Deinbollia sp., lower leaf surface; (C) P. lecaniodisci, galls on Lecaniodiscus cupanioides, upper leaf surface; (D, E) P. morion, deformations on Santiria trimera; (F) P. nothospondiadis, deformations on Nothospondias staudtii.
Figure 1 in Seed predation heterogeneity in the loculate fruits of a Mediterranean bushy plant
Figure 1. Comparison between expected (filled bars) and observed (open bars) entropy values in the proportion of fruits with different numbers of locules within individual plants. Expected values according to a null hypothesis of random production of fruits (n550, x2590.76, df53, P,0.001).
Figure 6 in Jumping plant-lice of the family Phacopteronidae (Hemiptera: Psylloidea) from Cameroon
Figure 6. Pseudophacopteron spp. (A) P. cuniculus; (B) P. kala; (C) P. nothospondiadis; (D) P. fuscivenosum; (E) P. electum; (F) P. morion; (G) P. lecaniodisci; (H) P. pusillum; (I) P. eastopi. (A–I) Fore wing pattern. Scale bars: 0.4 mm (A, B, E); 0.3 mm (C, D, G, H); 0.2 mm (F, I).
Figure 5 in Jumping plant-lice of the family Phacopteronidae (Hemiptera: Psylloidea) from Cameroon
Figure 5. Pseudophacopteron spp. (A) P. cuniculus; (B) P. kala; (C) P. nothospondiadis; (D) P. pusillum; (E) P. eastopi; (F) P. fuscivenosum; (G) P. electum; (H) P. morion; (I) P. lecaniodisci. (A–I) Antennal segments 9 and 10.
Figure 3 in Seed predation heterogeneity in the loculate fruits of a Mediterranean bushy plant
Figure 3. Sample variances and frequency distribution functions of proportion of the fruit destroyed by insect predators for different types of fruits (with 7–10 locules). Variance decreases when increasing locule number (Gamma correlation: z522.04; P,0.05). Least squares fitting line is shown to facilitate visualization.
Figure 21 in Jumping plant-lice of the family Phacopteronidae (Hemiptera: Psylloidea) from Cameroon
Figure 21. Pseudophacopteron spp. (A) P. cuniculus; (B) P. nothospondiadis; (C) P. fuscivenosum; (D) P. electum; (E) P. morion; (F) P. lecaniodisci; (G) P. pusillum. (A–G) Fifth instar larva; tibiotarsus apex.
Figure 13 in Jumping plant-lice of the family Phacopteronidae (Hemiptera: Psylloidea) from Cameroon
Figure 13. Pseudophacopteron spp. (A) P. cuniculus; (B) P. kala; (C) P. nothospondiadis; (D) P. fuscivenosum; (E) P. electum; (F) P. morion; (G) P. lecaniodisci; (H) P. pusillum; (I) P. eastopi. (A–I) Female subgenital plate, in ventral view.
Figure 2 in Seed predation heterogeneity in the loculate fruits of a Mediterranean bushy plant
Figure 2. Frequency distribution of fruits with different numbers of locules (random sample of 550 fruits).
Figure 9 in Jumping plant-lice of the family Phacopteronidae (Hemiptera: Psylloidea) from Cameroon
Figure 9. Pseudophacopteron spp. (A, B) P. cuniculus; (C) P. kala; (D) P. nothospondiadis; (E) P. fuscivenosum; (F) P. electum; (G) P. morion; (H) P. lecaniodisci; (I) P. pusillum; (J) P. eastopi. (A) Paramere, in posterior view; (B–J) paramere, in profile, inner surface. Scale bars: a (A, B); b (C–E, H–J); c (F); d (G).
Figure 4 in Jumping plant-lice of the family Phacopteronidae (Hemiptera: Psylloidea) from Cameroon
Figure 4. Pseudophacopteron spp. (A) P. cuniculus; (B) P. nothospondiadis; (C) P. fuscivenosum; (D) P. electum; (E) P. morion; (F) P. lecaniodisci; (G) P. pusillum; (H) P. eastopi. (A–H) Antenna. Scale bars: a (A–D, F–H); b (E).
Figure 8 in Jumping plant-lice of the family Phacopteronidae (Hemiptera: Psylloidea) from Cameroon
Figure 8. Pseudophacopteron spp. (A) P. cuniculus; (B) P. kala; (C) P. nothospondiadis; (D) P. fuscivenosum; (E) P. electum; (F) P. morion; (G) P. lecaniodisci; (H) P. pusillum; (I) P. eastopi. (A–I) Male terminalia, in profile. Scale bars: a (A); b (B–E, G–I); c (F).
Figure 15 in Jumping plant-lice of the family Phacopteronidae (Hemiptera: Psylloidea) from Cameroon
Figure 15. Pseudophacopteron nothospondiadis, fifth instar larva: left dorsal and right ventral surfaces.
Figure 16 in Jumping plant-lice of the family Phacopteronidae (Hemiptera: Psylloidea) from Cameroon
Figure 16. Pseudophacopteron fuscivenosum, fifth instar larva: left dorsal and right ventral surfaces.
Figure 12 in Jumping plant-lice of the family Phacopteronidae (Hemiptera: Psylloidea) from Cameroon
Figure 12. Pseudophacopteron spp. (A) P. fuscivenosum; (B) P. electum; (C) P. morion; (D) P. lecaniodisci; (E) P. eastopi; (F) P. pusillum. (A–F) Female terminalia, in profile. Scale bars: a (A, B, D–F); b (C).
Figure 11 in Jumping plant-lice of the family Phacopteronidae (Hemiptera: Psylloidea) from Cameroon
Figure 11. Pseudophacopteron spp. (A) P. cuniculus; (B) P. kala; (C) P. nothospondiadis. (A–C) Female terminalia, in profile. Scale bars: a (A); b (B, C).
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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.