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236 results for “leaf morphology”

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edi52/100

Thalassia leaf morphology and productivity measurements from arbitrary plots located in a Thalassia seagrass meadow in Rabbit Key Basin, Florida Bay (FCE) from March 2000 to April 2001

Thalassia leaf morphology and productivity were measured from six arbitrary 200 cm2 plots within a Thalassia seagrass meadow in Rabbit Key Basin, Florida Bay.

openCC (other)Feb 2024View details →
edi48/100

What the heart wants: adaptive significance of cordate leaf morphology in Arnica (Asteraceae)

We studied how the leaf inclination of basal leaves of two species, heartleaf arnica (Arnica cordifolia Hook.) and broadleaf arnica (Arnica latifolia Bong.) varied with canopy cover in the Greater Yellowstone Ecosystem, Wyoming, USA in July and August, 2022. Basal leaves of heartleaf arnica possess cordate leaf bases while those of broadleaf arnica do not, leading to potential biomechanical limitations of the latter to persist in shaded forest understories. Leaf inclination was measured as the angle (degrees) between the petiole and leaf planes of basal leaves for each species; cordateness was measured as the ratio of leaf length on either side of the petiole insertion point in basal leaves of heartleaf arnica. Data collection are complete.

openCC (other)Feb 2024View details →
zenodo44/100

Microsatellite genotype data and leaf morphological data of the publication "Bidirectional gene flow between Fagus sylvatica L. and F. orientalis Lipsky despite strong genetic divergence"

<p>These data sets were used for analyses in the publication &quot;Bidirectional gene flow between <em>Fagus sylvatica</em> L. and<em> F. orientalis</em> Lipsky despite strong genetic divergence&quot; accepted in Forest Ecology and Management <a href="https://www.sciencedirect.com/journal/forest-ecology-and-management/vol/537/suppl/C">Volume 537</a>, 1 June 2023, 120947, <a href="https://doi.org/10.1016/j.foreco.2023.120947">https://doi.org/10.1016/j.foreco.2023.120947</a></p> <p>For details about the data, please read the corresponding ReadMe files.</p>

opencc-by-4.0Apr 2023View details →
edi44/100

Leaf litter quality induces morphological changes in wood frog (Lithobates sylvaticus) metamorphs, Oakland University Biological Preserve (MI, USA) 2010.

For organisms that exhibit complex life cycles, resource conditions experienced by individuals before metamorphosis can strongly affect phenotypes later in life. Such resource-induced effects are known to arise from variation in resource quantity, yet little is known regarding effects stemming from variation in resource quality (e.g., chemistry). For larval anurans, we hypothesized that variation in resource quality will induce a gradient of effects on metamorph morphology. We conducted an outdoor mesocosm experiment in which we manipulated resource quality by rearing larval wood frogs (Lithobates sylvaticus) under 11 leaf litter treatments. The litter species represented plant species found in open- and closed-canopy wetlands and included many plant species of current conservation concern (e.g., green ash, common reed). Consistent with our hypothesis, we found a gradient of responses for nearly all mass-adjusted morphological dimensions. Hindlimb dimensions and gut mass were positively associated with litter nutrient content and decomposition rate. In contrast, forelimb length and head width were positively associated with concentrations of phenolic acids and dissolved organic carbon. Limb lengths and widths were positively related with the duration of larval period, and we discuss possible hormonal mechanisms underlying this relationship. There were very few, broad differences in morphological traits of metamorphs between open- and closed-canopy litter species or between litter and no-litter treatments. This suggests that the effects of litter on metamorph morphology are litter species-specific, indicating that the effects of changing plant community structure in and around wetlands will largely depend on plant species composition.

openCC (other)May 2024View details →
zenodo40/100

Quantification of plant morphology and leaf thickness with optical coherence tomography

<p>The uploaded scripts and data are&nbsp;used to obtain the figures 2, 4, 5,&nbsp;6 and 7 in the publication.&nbsp;</p> <p>The code has been run with Python 3.7 in Spyder (Anaconda).</p> <p>There are three scripts, each needing specific&nbsp;datasets to run the code.</p> <p>1. The core is the segmentation of the leaf surface and this is subsequently used to calculate leaf thickness and obtain en-face images.</p> <p><a href="https://zenodo.org/api/files/89412f06-4c84-4516-9e7d-113796b42834/3D_segmentation_thickness_enface.py">3D_segmentation_thickness_enface.py</a>: This file loads the 3D processed OCT data, does the leaf surface segmentation and calculates the en face images. It needs the files processed_3Ddata.npy and videoim.npy</p> <p><a href="https://zenodo.org/api/files/89412f06-4c84-4516-9e7d-113796b42834/processed_3Ddata.npy">processed_3Ddata.npy</a>: This file contains the processed 3D OCT dataset (linear amplitude data), with respectively dimensions z,x,y. The data is saved as uint16 to save memory, and should be converted to double before further processing, as done in the script.</p> <p><a href="https://zenodo.org/api/files/89412f06-4c84-4516-9e7d-113796b42834/videoim.npy">videoim.npy</a>: This file contains the RGB image of Fig. 6(a) as image matrix.</p> <p>2. The non-infiltrated and infiltrated image (Figure 4)</p> <p><a href="https://zenodo.org/api/files/89412f06-4c84-4516-9e7d-113796b42834/2D_fig4.py">2D_fig4.py</a>: This script produces Figure 4 of the paper and also shows the two RGB images that indicate the scan location on the leaf. It needs the files OCTdata_figure4.npy (containing OCT data) and videoimages_figure4.npy</p> <p><a href="https://zenodo.org/api/files/89412f06-4c84-4516-9e7d-113796b42834/OCTdata_figure4.npy">OCTdata_figure4.npy</a>: This file contains the processed 2D OCT dataset (linear amplitude data), with respectively dimensions (a/b),z,x. The data is saved as uint16 to save memory, and should be converted to double before further processing, as done in the script.</p> <p><a href="https://zenodo.org/api/files/89412f06-4c84-4516-9e7d-113796b42834/videoimages_figure4.npy">videoimages_figure4.npy</a>&nbsp;This file contains the two RGB images that show the scan area of the data in Figure 4.</p> <p>3. The calculation of the refractive index and making Figure 5</p> <p><a href="https://zenodo.org/api/files/89412f06-4c84-4516-9e7d-113796b42834/refractiveindex_fig5.py">refractiveindex_fig5.py</a>: this script segments the cuvette wall and leaf surface on 2D images and calculates the refractive index by evaluating equation 1 of the publication. It needs the file images_refractiveindex.npy</p> <p><a href="https://zenodo.org/api/files/89412f06-4c84-4516-9e7d-113796b42834/images_refractiveindex.npy">images_refractiveindex.npy</a>:&nbsp;This file contains the processed 2D OCT dataset (linear amplitude data), with respectively dimensions (leaf/empty),z,x. The data is saved as uint16 to save memory, and should be converted to double before further processing, as done in the script.</p>

opencc-by-4.0Nov 2020View details →
zenodo40/100

Gnuplot scripts for plotting selected leaf gas exchange and morphological data of industrial hemp

<p>Gnuplot code (scripts) for reproducing the eight figures of Sunoj et al. 2025 "Foliar gas exchange, morphology, and cannabinoid contents of three hemp varieties in southwest Texas," Agrosystems, Geosciences &amp; Environment, 8, e70101. https://doi.org/10.1002/agg2.70101. Here is a list of the authors of the manuscript: John Sunoj V. S. (1), Xuejun Dong (1), Madhumita Joshi (1), Russell W. Jessup (2), Daniel I. Leskovar (1), and David D. Baltensperger (2). Texas A&amp;M AgriLife Research at Uvalde, Texas, USA (1); Department of Soil and Crop Sciences, Texas A&amp;M University, College Station, Texas, USA (2).</p> <p>The revised upload includes updated gnuplot scripts for reproducing Figures 2, 3, and 8, and Supplemental Figures 1-5 and Supplemental Tables 1-5 of the accepted manuscript by AGE.</p> <p>Code and data to reproduce Figure 2 (pnf_rev.eps): pn_dat_rev.txt, pnf_rev.txt</p> <p>Code and data to reproduce Figure 3 (fmf_rev.eps): fm_dat.txt, fm_rev.txt</p> <p>Code and data to reproduce Figure 8 (allom_1.eps): allom_1.txt, allom_data.csv</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Apr 2024View details →
zenodo40/100

Figure 3 in On the perception of leaf morphology and visible light byTetranychus urticae Koch (Acariformes, Tetranychidae)

Figure 3 Distribution of Tetranychus urticae females (A) and daily oviposition rate (B) on bean leaves: A1, B1 (BNI); A2, B2 (BNS); A3, B3

opencc-by-4.0Apr 2022View details →
zenodo40/100

Figure 2 in On the perception of leaf morphology and visible light byTetranychus urticae Koch (Acariformes, Tetranychidae)

Figure 2 Survival (squares) and oviposition rate (circles) of Tetranychus urticae females fed on adaxial (AdSU-open squares and circles) or abaxial (AbSU-closed squares and circles) surface of bean (A) and lemon (B) leaves. Different letters denote significant differences (P&lt;0.05)

opencc-by-4.0Apr 2022View details →
zenodo40/100

Figure 1 A in On the perception of leaf morphology and visible light byTetranychus urticae Koch (Acariformes, Tetranychidae)

Figure 1 A diagram of experimental device used to hold the host plant leaves in the choice experiment, and the setup of four treatments for each host plant types: a mated female was placed on: (1) the illuminated-surface of a natural-orientated leaf of bean (BNI) or lemon (LNI), (2) the shaded-surface of a natural-orientated leaf of bean (BNS) or lemon (LNS), (3) the illuminated-surface of a reverse-orientated leaf of bean (BRI) or lemon (LRI), and (4) the shaded-surface of a reverse-orientated leaf of bean (BRS) or lemon (LRS).

opencc-by-4.0Apr 2022View details →
zenodo40/100

Figure 4 in On the perception of leaf morphology and visible light byTetranychus urticae Koch (Acariformes, Tetranychidae)

Figure 4 Distribution of Tetranychus urticae females (A) and daily oviposition rate (B) on lemon leaves: A1, B1 (LNI); A2, B2 (LNS); A3, B3

opencc-by-4.0Apr 2022View details →
zenodo40/100

Figs. 41–45. Elachista synethes Meyrick, 1897 in A morphological reappraisal of the immature stages and life history of Elachista synethes Meyrick (Lepidoptera, Elachistidae), an Australian leaf miner alien to Chile

Figs. 41–45. Elachista synethes Meyrick, 1897. Life history: 41, mine on leaf of Bromus catharticus, Azapa Valley, Arica municipality, Chile (open arrows indicate empty chorion and beginning of linear section of the mine; closed arrow indicates last-instar larva visible through transparent blotch section of the mine); 42, egg on leaf upper surface; 43, young mine in detail (open and closed arrows indicate respectively the empty chorion and first-instar larva seen by transparence); 44, last-instar larva weaving the cocoon; 45, pupa seen by transparence within cocoon. Scale bars = 2, 0.5, 0.5, and 1 mm, respectively.

opencc-by-4.0Jul 2015View details →
zenodo40/100

Figs. 14–25. Elachista synethes Meyrick, 1897 in A morphological reappraisal of the immature stages and life history of Elachista synethes Meyrick (Lepidoptera, Elachistidae), an Australian leaf miner alien to Chile

Figs. 14–25. Elachista synethes Meyrick, 1897. Scanning electron micrographs of last larval instar: 14, head, lateral view; 15, stemmata, lateral; 16, antenna, lateral; 17, head and prothorax, dorsal; 18, labrum and dorsal stemmata in detail, dorsal; 19, maxilla and labium, ventral; 20, prothorax, ventral; 21, detail of prothorax left portion, dorsal; 22, spiracle of abdominal segment A1, lateral; 23, prothoracic leg, posterolateral; 24, proleg of abdominal segment A4, ventral; 25, last abdominal segments, lateral. Scale bars = 100, 15, 10, 200, 50, 20, 150, 50, 20, 50, 50 and 100 µm, respectively.

opencc-by-4.0Jul 2015View details →
zenodo40/100

Figs. 5–9. Elachista synethes Meyrick, 1897 in A morphological reappraisal of the immature stages and life history of Elachista synethes Meyrick (Lepidoptera, Elachistidae), an Australian leaf miner alien to Chile

Figs. 5–9. Elachista synethes Meyrick, 1897.First larval instar: 5, general, dorsal view; 6, head, ventral; 7, mouth parts, ventral; 8, antenna, laterodorsal; 9, prothoracic spiracle, anterolateral. Scale bars = 100, 25, 5, 5 and 2 µm, respectively.

opencc-by-4.0Jul 2015View details →
zenodo40/100

Figs. 26–28. Elachista synethes Meyrick, 1897. 26 in A morphological reappraisal of the immature stages and life history of Elachista synethes Meyrick (Lepidoptera, Elachistidae), an Australian leaf miner alien to Chile

Figs. 26–28. Elachista synethes Meyrick, 1897. 26, pupa in dorsal, 27, ventral and 28, lateral views, respectively. Scale bar = 300 µm.

opencc-by-4.0Jul 2015View details →
zenodo40/100

Figs. 1–4. Elachista synethes Meyrick, 1897 in A morphological reappraisal of the immature stages and life history of Elachista synethes Meyrick (Lepidoptera, Elachistidae), an Australian leaf miner alien to Chile

Figs. 1–4. Elachista synethes Meyrick, 1897. Egg: 1, dorsolateral view; 2, chorionic cells showing location of aeropyles (indicated by closed arrow in Fig. 1); 3, micropylar region (indicated by open arrow in Fig. 1); 4, aeropyle in detail. Scale bars = 50, 10, 5 and 1 µm, respectively.

opencc-by-4.0Jul 2015View details →
zenodo40/100

Figs. 46–47 in A morphological reappraisal of the immature stages and life history of Elachista synethes Meyrick (Lepidoptera, Elachistidae), an Australian leaf miner alien to Chile

Figs. 46–47. Transverse histological sections of leaf of Bromus catharticus, showing the organization levels of mine of Elachista synethes Meyrick, 1897 in relation to larval ontogeny: 46, first instar, initial, linear section of mine; 47, last instar, final, blotch section of mine. Asterisks indicate leaf mines.Ab abaxial surface of epidermis; Ad adaxial surface of epidermis; Me mesophyll; Ph phloem; Sc sclerenchyma; Xy xylem. Scale bars = 150 and 400 µm, respectively.

opencc-by-4.0Jul 2015View details →
zenodo40/100

Figure 16 in Morphological phylogeny of Megachilini and the evolution of leaf-cutter behavior in bees (Hymenoptera: Megachilidae)

Figure 16. Cremnomegachile dolichosoma (Benoist), new combination. A. Facial view of female. B. Detail of female mesoscutum. C. Female metasoma in dorsal view. D. Lateral view of female. E. Male terminal terga. F. Lateral view of male.

opencc-by-4.0Jul 2019View details →
zenodo40/100

Figure 15. Tribes Pseudoheriadini and Ochreriadini. A in Morphological phylogeny of Megachilini and the evolution of leaf-cutter behavior in bees (Hymenoptera: Megachilidae)

Figure 15. Tribes Pseudoheriadini and Ochreriadini. A. Female of Afroheriades hyalinus Griswold &amp; Gonzalez in lateral view. B. Male terminal terga of Pseudoheriades moricei (Friese). C, D. Female of Ochreriades fasciatus (Friese) in dorsal and lateral views. E. Male terminal terga of O. fasciatus.

opencc-by-4.0Jul 2019View details →
zenodo40/100

Figure 12 in Morphological phylogeny of Megachilini and the evolution of leaf-cutter behavior in bees (Hymenoptera: Megachilidae)

Figure 12. Parsimony reconstruction of the two types of interdental laminae of the leaf-cutter bee mandible. We used the tree topology obtained from the total-evidence analysis of the full data set (122 taxa) to visualize character states on the clade of leaf-cutter bees. All photographs are outer views of the mandibles, except for the second from top to bottom, which is an inner view of the mandible below. Odontogenic lamina highlighted in green and ctenogenic lamina in pink.

opencc-by-4.0Jul 2019View details →
zenodo40/100

Figure 11 in Morphological phylogeny of Megachilini and the evolution of leaf-cutter behavior in bees (Hymenoptera: Megachilidae)

Figure 11. Total evidence dated phylogeny of Megachilini from the analysis of the full morphological data matrix (122 taxa). Majority-rule consensus tree from Bayesian analysis using fossils as terminals under the FBD tree prior. Blue bar at each node represents the 95% highest posterior density age range. Posterior probability below 100 indicated above each node. A capital letter above a node indicates a clade discussed in the text. Mandibles with interdental laminae highlighted in green (odontogenic) and pink (ctenogenic).

opencc-by-4.0Jul 2019View details →

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Allen Brain Atlas

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allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

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abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record