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3,030 results for “green”
Cupressus arizonica Greene (BR0000024499446)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Cupressus arizonica Greene (BR0000024499422)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Cupressus arizonica Greene var. glabra (Sudw.) Little (BR0000012295777)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Cupressus arizonica Greene (BR0000024499439)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Cupressus arizonica Greene (BR0000012293827)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Lupinus tricolor Greene (BR0000025022254)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Climate is more influential to vegetation green-up than factors that contribute to erosion following high-severity wildfire
<p>Background</p> <p>In the southwestern United States, post-fire vegetation recovery is increasingly variable in forest burned at high-severity. Many factors, including temperature, drought, and erosion, can reduce post-fire vegetation recovery rates. Here, we examined how post-fire precipitation variability, topography, and soils influenced post-fire vegetation recovery in the southwestern United States as measured by greenness. We modeled relationships between post-fire vegetation and these predictors using Random Forest and examined changes in post-fire normalized burn ratio across fires in Arizona and New Mexico. We incorporated growing season climate to determine if year-of-fire effects were persistent during the subsequent five years or if temperature, water deficit, and precipitation in the years following fire were more influential for vegetation greenness.</p> <p>Results</p> <p>We found reductions in post-fire greenness in areas burned at high-severity when heavy and intense precipitation fell on more erodible soils immediately post-fire. In <a>highly erodible</a> scenarios, when accounting for growing season climate, coefficient of variation for year-of-fire precipitation, total precipitation, and soil erodibility decreased greenness in the fifth year. While the effects of year-of-fire factors related to erosion were significant, they were small, and the variability explained by growing season vapor pressure deficit and growing season precipitation were significantly greater.</p> <p>Conclusions</p> <p>Our results suggest that while the factors that contribute to post-fire erosion and its effects on vegetation recovery are important, at a regional scale, the majority of the variability in post-fire greenness in high-severity burned areas in southwestern forests is due to climatic drivers such as growing season precipitation and vapor pressure deficit. Given the scale of area burned at high-severity, the likelihood that high-severity burned area will continue to increase, and the potential for more post-fire erosion that can result in different vegetation trajectories, quantifying how these factors alter the trajectory of greenness and what that means in terms of ecosystem development is central to understanding how different ecosystem types will be distributed across these landscapes with additional climate change.</p>
Green Function Database in ak135 for synthetic cross-correlation computation in WMSAN.
<p>## Description<br>This file is an HDF5 file containing synthetic seismic waveforms computed with AxiSEM in an axisymmetric Earth in model ak135f.<br>It contains waveforms at various distances for a vertical point force source of 1E20 N.</p> <p>## Parameters</p> <p>Distance range from 0° to 180° with a 0.1° step.<br>Source location latitude = 90°, longitude = 0°.<br>Sampling frequency 1Hz. <br>Duration 3600s.<br>Dominant period 1s.<br><br>## Architecture<br>Network "L" </p> <p>Station "SYNTH0000" : station at distance = 0° from the source location.</p> <pre>|-- <a href="../records/11126562" target="_blank" rel="noopener">NOISE_vertforce_dirac_0-ak135f_1.s_3600s.h5</a>/ │ └── L/ │ └── SYNTH0000/<br>│ └── ...<br>│ └── SYNTH1800/<br>│ └── _metadata/</pre> <p> </p>
Fig. 7. a in Anti-cryptosporidial activity of Camellia sinensis (green tea extract) in experimentally infected immunocompromised mice
Fig. 7. a) A section of the small intestine in GV revealed normal villous architecture with a normal brush border (H&E stain, X200); b) Sections examined from the liver in this group showed preserved hepatic lobular architecture (H&E stain, X200).
Fig. 6. a in Anti-cryptosporidial activity of Camellia sinensis (green tea extract) in experimentally infected immunocompromised mice
Fig. 6. a) A section of the small intestine in GIV revealed marked villous broadening (red line) with decreased villous height to crypt length ratio. There was dense infiltration by mononuclear inflammatory cells within the villous core (green arrows), degeneration of the villous tip-regions (black arrows), and increased mucin production (H&E stain, X200). b) Sections from the small intestine revealed many adherents (red arrows) and separate (black arrows) Cryptosporium stages, probably oocyst (H&E stain, X1000). c)Sections examined from the liver in this group showed hepatocellular degeneration (black arrow) and focal mononuclear cellular infiltration (red arrows) (H&E stain, X200)
Fig. 5. a in Anti-cryptosporidial activity of Camellia sinensis (green tea extract) in experimentally infected immunocompromised mice
Fig. 5. a) A section of the small intestine in GIII revealed moderate villous broadening, infiltration by mononuclear inflammatory cells within the villous core (red arrow), focal degeneration of the villous tip regions (black arrow), and increased mucin production (H&E stain, X200). b) Sections examined from the liver in this group showed focal mononuclear cellular infiltration (red arrow) (H&E stain, X200).
Fig. 3. a in Anti-cryptosporidial activity of Camellia sinensis (green tea extract) in experimentally infected immunocompromised mice
Fig. 3. a) A section of the small intestine in GI revealed villous broadening (red line) with an expansion of the villous core by mononuclear inflammatory cells (black arrow) (H&E stain, X200); b) Sections examined from the liver in this group showed preserved hepatic lobular architecture and cloudy swelling of hepatocytes (H&E stain, X200).
Fig. 1. a in Anti-cryptosporidial activity of Camellia sinensis (green tea extract) in experimentally infected immunocompromised mice
Fig. 1. a) Cryptosporidium oocyst (stained red to deep purple with the modified Ziehl–Neelsen method); b) immunofluorescence staining of Cryptosporidium oocyst (ovoid or spherical brilliant apple/ green structure)
Fig. 2 in Anti-cryptosporidial activity of Camellia sinensis (green tea extract) in experimentally infected immunocompromised mice
Fig. 2. Agarose gel electrophoresis showing: Lane 1: 50 bp DNA molecular weight marker, Lane 2: Positive control, Lane 3: Negative control, Lane 4: Positive sample of nested PCR products targeting COWP gene of Cryptosporidium at 553 bp, Lane 5: 50 bp DNA molecular weight marker, and Lane 6: RFLP products of the sample after digestion with RsaI endonuclease (C. parvum genotype 2 digestion products at 410, 106, and 34 (too small to be detected) bp.
Fig. 4. a in Anti-cryptosporidial activity of Camellia sinensis (green tea extract) in experimentally infected immunocompromised mice
Fig. 4. a) A section of the small intestine in GII revealed returning of the normal villous pattern, normal mucosa, and goblet cells (H&E stain, X200). b) Sections examined from the liver in this group showed preserved hepatic lobular architecture (H&E stain, X200).
UAV-derived cluster greenness and pathlength of individual trees collected at Marden Park, UK
<p>Inidivual tree cluster greenness (gcc) and pathlength used in the study "UAV-derived greenness and within-crown spatial patterning can detect ash dieback in individual trees".</p>
Data and code for 'Worldwide greenhouse gas emissions of green hydrogen production and transport'
<p>This data and code accompanies a Nature Energy article with the title 'Worldwide greenhouse gas emissions of green hydrogen production and transport'. In the article ‘Worldwide greenhouse gas emissions of green hydrogen’, we quantify project-specific greenhouse gas emissions for 1,025 green hydrogen projects in 2030, as well as green hydrogen transport emissions for three transport modes: pipeline, liquid hydrogen shipping and ammonia shipping. This repository entry contains the data and code used to produce the outputs presented in the article.</p>
А – типовые местонахоЖдениЯ: Зал. ЛаврентиЯ (красный маркер), б. ПровидениЯ (Зеленый маркер); B, B' – иЗобраЖениЯ раковины (B) и Зуба радулы (B') Bela violacea var. nodulosa. Вр=14.5 мм, ДЗ=0.25 мм, иЗ: Krause [1885, pl. 18, figs. 4, 12]; C, C' – синтип Bela violacea var. nodulosa (C) и увеличенный участок предпоследнего оборота (C'), ZMB 37860, Вр=12 мм (фотографиЯ – с раЗрешениЯ ZMB); D–I – иЗменчивость Curtitoma violacea: D – Pleurotoma violacea var. brevis. ZIN беЗ номера, ЗФИ, о-в Аполлонова, Американский Залив, 3–4 м. Вр=8.2 мм; E – Defrancia becki. ZIN беЗ номера, ЗФИ, о-в Кука, 3–4 м. Вр=9.1 мм; F – Bela violacea var. laevior. Вр=12 мм, иЗ: Sars [1878, pl. 17, fig. 3]; G – Bela bicarinata var. geminolineata. ZIN 21324/28, Баренцево море, Югорский Шар, 13 м. Вр=8.7 мм; H – Pleurotoma bicarinata. ZIN 41203/156, ЗФИ, о-в ГрЭм-БЭм, 12–15 м. Вр=8.4 мм; I, I' – Зубы радулы типичной (I) и беЗкилевой (I') форм. ДЗ=0.12 мм и 0.21 мм, соответственно, иЗ: [Sars, 1878, pl. 9, figs. 7, 8]; J – иЗобраЖение раковины Lora inequita. Вр=11 мм, иЗ: Dall [1919, pl. 16, fig. 9]; K – голотип Lora inequita, USNM 222238. Вр=11 мм (фотографиЯ – с раЗрешениЯ USNM); L, L' – Oenopota inequita sensu Bogdanov non Dall: раковины (L) и Зуб радулы (L'). Вр=12 мм и 11.6 мм, соответственно, ДЗ=0.15 мм, иЗ: Богданов [1990, рис. 175, 176, 422 (7)]. A – type localities: Lawrence Bay (red circle), Providence Bay (green circle); B, B' – images of the shell (B) and tooth of the radula (B') of Bela violacea var. nodulosa. H=14.5 mm, L=0.25 mm, after Krause [1885, pl. 18, figs. 4, 12]; C, C' – a syntype of Bela violacea var. nodulosa (C) and the enlarged section of the penultimate whorl (C'), ZMB 37860, H=12 mm (photo – courtesy of ZMB); D–I – variability of Curtitoma violacea: D – Pleurotoma violacea var. brevis. ZIN uncatalogued, Franz Josef Land, Apollonova Isl., American Gulf, 3–4 m. H=8.2 mm; E – Defrancia becki. ZIN uncatalogued, Franz Josef Land, Cook Isl., 3–4 m. H=9.1 mm; F – Bela violacea var. laevior. H=12 mm, after Sars [1878, pl. 17, fig. 3]; G – Bela bicarinata var. geminolineata. ZIN 21324/28, Barents Sea, Ugra Shar, 13 m. H=8.7 mm; H – Pleurotoma bicarinata. ZIN 41203/156, Franz Josef Land, Graham-Bam Isl., 12–15 m. H= 8.4 mm; I, I' – teeth of typical (I) and keelless (I') forms. L=0.12 mm and 0.21 mm, respectively; after Sars [1878, pl. 9, figs. 7,8]; J – image of Lora inequita. H=11 mm, after Dall [1919, pl.16, fig. 9]; K – the holotype of Lora inequita, USNM 222238. H=11 mm (photo – courtesy of USNM); L, L' – Oenopota inequita sensu Bogdanov non Dall: shells (L) and tooth (L'). H=12 mm and 11.6 mm, respectively, L=0.15 mm, after Bogdanov [1990, figs. 175, 176, 422 (7)]. in Curtitoma nodulosa (Krause, 1885) comb. nov. (Gastropoda: Mangeliidae), a rare species twice described from the northern part of Bering Sea
А – типовые местонахоЖдениЯ: Зал. ЛаврентиЯ (красный маркер), б. ПровидениЯ (Зеленый маркер); B, B' – иЗобраЖениЯ раковины (B) и Зуба радулы (B') Bela violacea var. nodulosa. Вр=14.5 мм, ДЗ=0.25 мм, иЗ: Krause [1885, pl. 18, figs. 4, 12]; C, C' – синтип Bela violacea var. nodulosa (C) и увеличенный участок предпоследнего оборота (C'), ZMB 37860, Вр=12 мм (фотографиЯ – с раЗрешениЯ ZMB); D–I – иЗменчивость Curtitoma violacea: D – Pleurotoma violacea var. brevis. ZIN беЗ номера, ЗФИ, о-в Аполлонова, Американский Залив, 3–4 м. Вр=8.2 мм; E – Defrancia becki. ZIN беЗ номера, ЗФИ, о-в Кука, 3–4 м. Вр=9.1 мм; F – Bela violacea var. laevior. Вр=12 мм, иЗ: Sars [1878, pl. 17, fig. 3]; G – Bela bicarinata var. geminolineata. ZIN 21324/28, Баренцево море, Югорский Шар, 13 м. Вр=8.7 мм; H – Pleurotoma bicarinata. ZIN 41203/156, ЗФИ, о-в ГрЭм-БЭм, 12–15 м. Вр=8.4 мм; I, I' – Зубы радулы типичной (I) и беЗкилевой (I') форм. ДЗ=0.12 мм и 0.21 мм, соответственно, иЗ: [Sars, 1878, pl. 9, figs. 7, 8]; J – иЗобраЖение раковины Lora inequita. Вр=11 мм, иЗ: Dall [1919, pl. 16, fig. 9]; K – голотип Lora inequita, USNM 222238. Вр=11 мм (фотографиЯ – с раЗрешениЯ USNM); L, L' – Oenopota inequita sensu Bogdanov non Dall: раковины (L) и Зуб радулы (L'). Вр=12 мм и 11.6 мм, соответственно, ДЗ=0.15 мм, иЗ: Богданов [1990, рис. 175, 176, 422 (7)]. A – type localities: Lawrence Bay (red circle), Providence Bay (green circle); B, B' – images of the shell (B) and tooth of the radula (B') of Bela violacea var. nodulosa. H=14.5 mm, L=0.25 mm, after Krause [1885, pl. 18, figs. 4, 12]; C, C' – a syntype of Bela violacea var. nodulosa (C) and the enlarged section of the penultimate whorl (C'), ZMB 37860, H=12 mm (photo – courtesy of ZMB); D–I – variability of Curtitoma violacea: D – Pleurotoma violacea var. brevis. ZIN uncatalogued, Franz Josef Land, Apollonova Isl., American Gulf, 3–4 m. H=8.2 mm; E – Defrancia becki. ZIN uncatalogued, Franz Josef Land, Cook Isl., 3–4 m. H=9.1 mm; F – Bela violacea var. laevior. H=12 mm, after Sars [1878, pl. 17, fig. 3]; G – Bela bicarinata var. geminolineata. ZIN 21324/28, Barents Sea, Ugra Shar, 13 m. H=8.7 mm; H – Pleurotoma bicarinata. ZIN 41203/156, Franz Josef Land, Graham-Bam Isl., 12–15 m. H= 8.4 mm; I, I' – teeth of typical (I) and keelless (I') forms. L=0.12 mm and 0.21 mm, respectively; after Sars [1878, pl. 9, figs. 7,8]; J – image of Lora inequita. H=11 mm, after Dall [1919, pl.16, fig. 9]; K – the holotype of Lora inequita, USNM 222238. H=11 mm (photo – courtesy of USNM); L, L' – Oenopota inequita sensu Bogdanov non Dall: shells (L) and tooth (L'). H=12 mm and 11.6 mm, respectively, L=0.15 mm, after Bogdanov [1990, figs. 175, 176, 422 (7)].
Fig. 15 in Expression of green fluorescent protein defines a specific population of lamina II excitatory interneurons in the GRP::eGFP mouse
Fig. 15. Trychosis breviterebratus sp. nov. (A-F, KPM-NK 75758) ― A, lateral habitus; B, dorsal habitus; C, frons, frontal view; D, head and mesosoma, lateral view; E, propodeum, dorsal view; F, right wings.
Fig. 14. Hylophasma luica Sheng, Li in Expression of green fluorescent protein defines a specific population of lamina II excitatory interneurons in the GRP::eGFP mouse
Fig. 14. Hylophasma luica Sheng, Li & Wang, 2019 (A-D, KPM-NK 75813; E, KPM-NK 75821) and Picardiella melanoleuca (Gravenhorst, 1829)(F-J, KPM-NK 75744) ― A, E, F, lateral habitus; B, G, dorsal habitus; C, H, head, frontal view; D, J, right fore wing; I, propodeum, dorsal view.
ScienceDex guides
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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)
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.