Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
9,671
datasets available to search
ShareScore release 0.9.0
Dataset results
9,671 results for “Leaf”
FIG 3. Scanning electron micrographs for Chimairacoris lakshmiae. A. Head, left ventrolateral view. B. Thoracic pleura, left lateral view. C. Profemur. D, E. Pretarsus. F in A Remarkable New Genus and New Species of the Plant Bug (Heteroptera: Miridae: Phylinae), Inhabiting Psyllid Leaf Margin Roll Gall on Indian Banyan, Ficus benghalensis
FIG 3. Scanning electron micrographs for Chimairacoris lakshmiae. A. Head, left ventrolateral view. B. Thoracic pleura, left lateral view. C. Profemur. D, E. Pretarsus. F. Male abdomen (sternum).
FIG. 2 in A Remarkable New Genus and New Species of the Plant Bug (Heteroptera: Miridae: Phylinae), Inhabiting Psyllid Leaf Margin Roll Gall on Indian Banyan, Ficus benghalensis
FIG. 2. Habitus images of Chimairacoris lakshmiae. A. Adult, dorsal habitus. B. Head and thorax in ventral view. C. Head and thorax in ventral view. D. Third instar nymph. E. Final (fifth) instar nymph.
FIG. 5 in A Remarkable New Genus and New Species of the Plant Bug (Heteroptera: Miridae: Phylinae), Inhabiting Psyllid Leaf Margin Roll Gall on Indian Banyan, Ficus benghalensis
FIG. 5. Male genitalia of Chimairacoris lakshmiae. Apical part of pygophore cracked along the midline appears to be a result of preparation or dissection, or this part may be weakly sclerotized (cf. fig. 3F).
FIG 1. A in A Remarkable New Genus and New Species of the Plant Bug (Heteroptera: Miridae: Phylinae), Inhabiting Psyllid Leaf Margin Roll Gall on Indian Banyan, Ficus benghalensis
FIG 1. A. Dorsal habitus of Chimairacoris lakshmiae, adult. B. Same, fifth instar nymph. C. Eggs, chorion exposed on gall surface. D. Eggs laid in a gall. E. Ficus benghalensis, leaf-margin roll gall. F. Chimairacoris lakshmiae, adult female on a gall. G. A gall-making psyllid, Trioza sp., aggregation of immature forms and damaged leaf. H. Trioza sp., adult. I. A mealybug, Phenacoccus parvus Morrison, female.
FIG 4 in A Remarkable New Genus and New Species of the Plant Bug (Heteroptera: Miridae: Phylinae), Inhabiting Psyllid Leaf Margin Roll Gall on Indian Banyan, Ficus benghalensis
FIG 4. Images made by stereoscopic microscope (A−B) and compound microscope (C−E) for Chimairacoris lakshmiae. A. Thoracic pleuron, left lateral view. B. Metafemur. C. Pretarsus. D. Phallotheca. E. Apical part of endosoma.
FIG. 2 in A late Miocene leaf assemblage from Vrysses, western Crete, Greece, and its paleoenvironmental and paleoclimatic interpretation
FIG. 2. — Photographs of fossil leaves from the Vrysses outcrops (western Crete):A, B, Pinus sp., needles nos. 32.1.2.168 and 32.1.2.48; C, D, Tetraclinis sp., twig fragments nos. 32.1.2.126 and 32.1.2.141; E, Daphnogene polymorpha (A.Braun) Ettingsh., no. 32.1.2.20; F, cf. "Parrotia" pristina (Ettingsh.) Stur, no. 32.1.3.5; G, cf. Juglans acuminata Braun ex Unger, no. 32.1.3.1; H-K, Quercus mediterranea Unger, nos. 32.1.2.24, 32.1.2.155, 32.1.3.2 and 32.1.2.79. Scale bars: 1 cm.
FIG. 5 in A late Miocene leaf assemblage from Vrysses, western Crete, Greece, and its paleoenvironmental and paleoclimatic interpretation
FIG. 5. — Drawings of selected fossil leaves from Vrysses (western Crete): A, Dicotylophyllum sp. 12, no. 32.1.2.42; B, N, Dicotylophyllum sp. 5, nos. 32.1.3.4 and 32.1.2.34; C, Dicotylophyllum sp. 10, no. 32.1.2.4; D, Daphnogene polymorpha (A.Braun) Ettingsh., no. 32.1.2.26; E, Dicotylophyllum sp. 11, no. 32.1.2.98; F, cf. Juglans acuminata Braun ex Unger, no. 32.1.3.1; G, S, Rosaceae gen. et sp. indet., nos. 32.1.2.41 and 32.1.2.8; H, Dicotylophyllum sp. 2, no. 32.1.2.92; I, Dicotylophyllum sp. 6, no. 32.1.2.107; J, Quercus mediterranea Unger, no. 32.1.2.147; K, Acer sp., no. 32.1.2.56; L, P, R, Acer pseudomonspessulanum Unger, nos. 32.1.3.9, 32.1.2.37 and 32.1.2.31; M, Buxus pliocenica Saporta & Marion, no. 32.1.2.140; O, Dicotylophyllum sp. 4, no. 32.1.2.144; Q, Quercus sp., no. 32.1.2.95; T, Dicotylophyllum sp. 7, no. 32.1.2.44. Scale bar: 1 cm.
FIG. 3 in A late Miocene leaf assemblage from Vrysses, western Crete, Greece, and its paleoenvironmental and paleoclimatic interpretation
FIG. 3. — Photographs of fossil leaves from the Vrysses outcrops (western Crete): A, Quercus sp., no. 32.1.2.142; B, Ulmaceae gen. et sp. indet., no. 32.1.2.70; C, cf. Salix sp., no. 32.1.2.39; D, Populus tremula L., foss., no. 32.1.3.7; E, Buxus pliocenica Saporta & Marion, no. 32.1.2.140; F, Rosaceae gen. et sp. indet., no. 32.1.2.55; G, Fabaceae type 1, no. 32.1.2.161; H, Fabaceae type 2, no. 32.1.2.78; I-L, Acer pseudomonspessulanum Unger, nos. 32.1.2.61, 32.1.3.8, 32.1.2.46 and 32.1.2.67; M, Acer sp., no. 32.1.2.12; N-P, cf. Ziziphus ziziphoides (Unger) Weyland, nos. 32.1.2.3, 32.1.2.180 and 32.1.2.5. Scale bars: 1 cm.
FIG. 4 in A late Miocene leaf assemblage from Vrysses, western Crete, Greece, and its paleoenvironmental and paleoclimatic interpretation
FIG. 4. — Photographs of fossil leaves identified in Vrysses outcrops (western Crete):A, Dicotylophyllum sp. 1, no.32.1.2.1;B, Dicotylophyllum sp. 2, no. 32.1.2.92; C, Dicotylophyllum sp. 3, no. 32.1.2.16; D, Dicotylophyllum sp. 4, no. 32.1.2.33; E, Dicotylophyllum sp. 5, no. 32.1.3.6; F, Dicotylophyllum sp. 6, no. 32.1.2.9; G, Dicotylophyllum sp. 8, no. 32.1.2.223; H, Dicotylophyllum sp. 9, no. 32.1.2.30; I, Dicotylophyllum sp. 10, no. 32.1.2.93; J, Dicotylophyllum sp. 11, no. 32.1.2.159; K, Poaceae/Cyperaceae type 1, no. 32.1.2.191; L, Poaceae/ Cyperaceae type 2, no. 32.1.2.54. Scale bars: 1 cm.
Text-fig. 3. Sphenophyte and fern remains from Remigiusberg Formation. A) Asterophyllites equisetiformis, Inv.-Nr. PB 2010/5809 LS (LS-RLP), scalebar = 2.5 cm; B) Asterophyllites equisetiformis (right) and Pecopteris sp. (left), Inv.-Nr. PB 2010/5813 LS (LS-RLP), scalebar = 2 cm; C) Long-leafed variety of Asterophyllites equisetiformis, Inv.-Nr. PB 2010/5808 LS, scalebar = 2 cm; D) Calamites sp., Inv.-Nr. PB 2010/5804 LS (LS-RLP), scalebar = 2.5 cm; E) Eucalamites cruciatus, Inv.-Nr. PB 2016/5034 LS (LS-RLP), scalebar = 2 cm. in New Data On The Macroflora Of The Basal Rotliegend Group (Remigiusberg Formation; Gzhelian) In The Saar-Nahe Basin (Sw-Germany)
Text-fig. 3. Sphenophyte and fern remains from Remigiusberg Formation. A) Asterophyllites equisetiformis, Inv.-Nr. PB 2010/5809 LS (LS-RLP), scalebar = 2.5 cm; B) Asterophyllites equisetiformis (right) and Pecopteris sp. (left), Inv.-Nr. PB 2010/5813 LS (LS-RLP), scalebar = 2 cm; C) Long-leafed variety of Asterophyllites equisetiformis, Inv.-Nr. PB 2010/5808 LS, scalebar = 2 cm; D) Calamites sp., Inv.-Nr. PB 2010/5804 LS (LS-RLP), scalebar = 2.5 cm; E) Eucalamites cruciatus, Inv.-Nr. PB 2016/5034 LS (LS-RLP), scalebar = 2 cm.
Text-fig. 2. Floral record from the travertine of Gánovce-Hrádok Neanderthal site. a–c) Salix L.; d–f) Quercus L.; g) Fraxinus excelsior L.; h) Pinus L.; i) Poaceae, stem of cf. Poa sp.; j) Betula L.; k) Salix rosmarinifolia L., leaf detail; l) Salix rosmarinifolia L. All scale bars (except "g") are 20 mm, for "g" 50 mm. in Revised Floral And Faunal Assemblages From Late Pleistocene Deposits Of The Gánovce-Hrádok Neanderthal Site -Biostratigraphic And Palaeoecological Implications
Text-fig. 2. Floral record from the travertine of Gánovce-Hrádok Neanderthal site. a–c) Salix L.; d–f) Quercus L.; g) Fraxinus excelsior L.; h) Pinus L.; i) Poaceae, stem of cf. Poa sp.; j) Betula L.; k) Salix rosmarinifolia L., leaf detail; l) Salix rosmarinifolia L. All scale bars (except "g") are 20 mm, for "g" 50 mm.
Text-fig. 1. Palaeogeographical scheme (distribution of land and sea basins) in part of Eurasia at the beginning of the Late Cretaceous (modified from Spicer et al. 2008). The green leaf symbol indicates the site of the Arman Flora. Asterisks indicate the Okhotsk-Chukotka volcanogenic belt. Dashdotted line indicates the boundary between the Siberian- Canadian and Euro-Sinian palaeofloristic regions (modified from Vakhrameev 1991). in On The Likely Palaeoelevation Of The Turonian - Coniacian Arman Flora Site (North-Eastern Asia)
Text-fig. 1. Palaeogeographical scheme (distribution of land and sea basins) in part of Eurasia at the beginning of the Late Cretaceous (modified from Spicer et al. 2008). The green leaf symbol indicates the site of the Arman Flora. Asterisks indicate the Okhotsk-Chukotka volcanogenic belt. Dashdotted line indicates the boundary between the Siberian- Canadian and Euro-Sinian palaeofloristic regions (modified from Vakhrameev 1991).
An Optimized North America MODIS Leaf Area Index (LAI) Dataset for Air Quality Modeling
<p>Air Quality Research Division, Environment and Climate Change Canada,</p> <p>4905 Dufferin Street, Toronto, Ontario, M3H 5T4, Canada</p> <p>Email: Junhua.zhang@ec.gc.ca</p> <p> </p> <p>Leaf Area Index (LAI) is used in air quality models for land surface processes and for calculating biogenic emissions. MODIS LAI product provided by NASA (https://modis.gsfc.nasa.gov/data/dataprod/mod15.php) has been widely used in the air quality modeling community for such purposes. However, limitations of MODIS LAI product have been seen for some geographic areas, particularly unreasonably low LAI over the evergreen needleleaf boreal forests in the northern hemisphere during wintertime due to snow cover and low sun angle. Missing retrievals over urban areas and areas with persistent cloud cover are also seen. Considerable efforts have been made to improve the MODIS LAI product. However, some issues are still persistent, such as the very low LAI over boreal forests during wintertime. In order to solve these issues for supporting regional air quality modelling, the 8-day MODIS Collection 6 (C6) LAI product at 500m resolution (MCD15A2H) was examined for North America. Statistics were calculated by month and by land cover type defined in the “Land Cover Type 1” science data set (SDS) of the Collection 6 MODIS Land Cover (MCD12Q1) product. Comparisons with LAI calculated from the EPA’s Biogenic Emissions Landuse Database, version 4 (BELD4, https://www.epa.gov/air-emissions-modeling/biogenic-emission-sources) were also done (Zhang et al., 2020). Based on the analysis, an updated monthly LAI dataset was calculated based on 1) 17-year (2003-2019) average of MODIS summer-time peak LAI, 2) fraction of evergreen and deciduous for each pixel from BELD4, and 3) monthly profiles of LAI for evergreen and deciduous vegetation species from MODIS LAI (Zhang et al., 2021). This is the final LAI dataset for North America compiled using the 17 years of MODIS LAI product complemented by information from BELD4.</p> <p> </p> <p>REFERENCES:</p> <p>Zhang, J., M. D. Moran, P. A. Makar, and S. Kharol, 2020. Examination of MODIS Leaf Area Index (LAI) Product for Air Quality Modelling. 19th CMAS Conference, 26-30 Oct., Virtual [see https://www.cmascenter.org/conference/2020/slides/ZhangJ_MODIS_LAI_CMAS_2020.pdf].</p> <p>Zhang, J., P. A. Makar, S. Kharol, M. D. Moran, and C. McLinden, 2021. Examination and Processing of MODIS Leaf Area Index (LAI) Product for Air Quality Modelling. 2021 Meteorology and Climate - Modeling for Air Quality Conference, Sep 14-17, 2021, Virtual</p> <p> </p>
Fig. 3 in Scientific Note Feeding ecology of the leaf fish Monocirrhus polyacanthus (Perciformes: Polycentridae) in a terra firme stream in the Brazilian Amazon
Fig. 3. Prey size (total length, in mm) in relation to predator's size (standard length, in mm) for specimens of the leaf fish Monocirrhus polyacanthus (r2 = 0.44, F = 13.24, p = 0.002, Number of measured preys = 19).
Fig. 2 in Scientific Note Feeding ecology of the leaf fish Monocirrhus polyacanthus (Perciformes: Polycentridae) in a terra firme stream in the Brazilian Amazon
Fig. 2. Proportion of preys (fish and invertebrates) recorded in the stomach of the leaf fish Monocirrhus polyacanthus, by predator size classes (Number of stomachs with food = 19).
LT-Brazil: A database of leaf traits across biomes and vegetation types in Brazil
<p><span>Motivation: Leaf traits represent an important component of plant functional strategies, and those related to carbon fixation and nutrient acquisition form the leaf economics spectrum. However, observations of functional leaf traits are underrepresented in tropical regions in comparison with those in temperate areas. Brazil, a country with continental scale and vast biodiversity is a timely example, where many biomes are impacted by human activities and climate change. However, leaf traits relevant to understand vegetation responses to these impacts remain poorly quantified for many species found in the country. We compiled an extensive data set of four functional leaf traits for native woody species occurring in the Brazilian territory. In addition to trait observations, sampling dates and geo-references were compiled and climatic parameters and soil properties of each sampling site were extracted from several databases.</span></p> <p><span>Main types of variables contained: The LT-Brazil data set contains 3479, 1216, 775, and 775 clean observations of leaf mass per area, leaf nitrogen (N) concentration per unit mass, leaf phosphorus (P) concentration per unit mass, and leaf N : P ratio, respectively, from native woody species, encompassing information of biome, vegetation, taxonomic data, geographical coordinates, climatic parameters, as well as soil properties.</span></p> <p><span>Spatial location and grain: We compiled trait observations from 223 sites under native vegetation distributed in all main biomes (i.e., Amazônia, Caatinga, Cerrado, Mata Atlântica, Pampa, and Pantanal) across the Brazilian territory.</span></p> <p><span>Time period and grain: The data represent information published and/or sampled during the last 25 years.</span></p> <p><span>Major taxa and level of measurement: Our compilation was focused on trait data observed for native woody species, excluding monocots, palm trees, herbs, and hemiparasitic plants. Thus, 108, 478, and 1321 botanical families, genera, and species were included, covering <em>c.</em> 9% of the woody angiosperm flora of Brazil.</span></p> <p>Software format: Data are provided as comma-separated value (.csv) files.</p>
Fig. 2. Desplatsia Bocq. leaf images. A. D in A taxonomic revision of the African genus Desplatsia Bocq. (Malvaceae - Grewioideae)
Fig. 2. Desplatsia Bocq. leaf images. A. D. chrysochlamys (Mildbr. & Burret) Mildbr. & Burret (Harris 4977 (E)). B. D. dewevrei (De Wild. & T.Durand) Burret (Harris 9664 (E)). C–D. D. subericarpa Bocq. (Harris 10194). C. Leaves. D. Leaf base with subulately divided stipules and distinctly inflated petiole in upper part. E–F. Stellate hairs on leaf undersurface. E. D. chrysochlamys (Mildbr. & Burret) Mildbr. & Burret (Harris 5241 (E)). F. D. mildbraedii Burret (Harris 4397 (E)). E–F at the same magnification (40 × with microscope). Scale bars = 1 mm. A–D images by D. Harris (RBGE); E–F images by J. Wellsow (RBGE).
Data from: Effects of artificial light at night on the leaf functional traits of freshwater plants
<p>Leaf traits measured on three species of submerged aquatic plants (<em>Myriophyllum verticillatum </em>L., <em>Potamogeton coloratus</em> Hornem., and <em>Vallisneria spiralis</em> L.) grown under light pollution at night or in the dark. Details about the protocols and the data collection can be found in the article published in <em>Freshwater Biology</em>.</p>
Figures 26–31 in Natural history of Cassida sphaerula Boheman, 1854 (Coleoptera: Chrysomelidae: Cassidinae: Cassidini) on Arctotheca prostrata (Salisb.) Britten (Asteraceae: Arctotidinae) in South Africa, with a checklist of South African Cassidinae (leaf-mining and tortoise beetles)
Figures 26–31. Pupa and adult of Cassida sphaerula (photos: S. Adam, September 2021). 26) Pupa, attached by venter of leaf, with shield comprising only exuviae of 5th instar. 27) Pupa with shield of exuviae I–V and feces. 28) Teneral adult is straw colored. 29–30) Mature adults are green, in copula. 31) Older adult with black spots on elytra.
Figures 9–15 in Natural history of Cassida sphaerula Boheman, 1854 (Coleoptera: Chrysomelidae: Cassidinae: Cassidini) on Arctotheca prostrata (Salisb.) Britten (Asteraceae: Arctotidinae) in South Africa, with a checklist of South African Cassidinae (leaf-mining and tortoise beetles)
Figures 9–15. Arctotheca prostrata with feeding damage by beetle, Cassida sphaerula Boheman, 1853 (photos: S. Adam, September 2021). 9) Intact leaf, dorsal view. 10) Intact leaf, ventral view. 11) Leaf, dorsal view, with window-pane pattern where beetles leave dorsal cuticle intact. 12) Leaf, ventral view, with craters left by beetle feeding damage. 13) Leaf with paired green adults (dorsal) and cream-colored larva showing blackish exuviofecal shield (held on caudal processes) and wet anal droplet to apply to shield. Note hirsute dorsal and ventral surfaces of host leaf. 14) Leaf with many feeding craters and single larva with exuvio-fecal shield; note feeding is only between veins. 15) Feeding craters, each with marginal cuticle roll.
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.