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1,084 results for “substrate”
FIGURES 123–132. Fig. 123. Mastogloia punctatissima. Fig. 124–125. M. pseudolatecostata. Figs. 126–127. M. fimbriata. Fig. 126. SEM valve view. Fig. 127 in Diatoms (Bacillariophyta) From Artificial Substrates And Sediments In The Caribbean Sea Off Yucatan, Mexico
FIGURES 123–132. Fig. 123. Mastogloia punctatissima. Fig. 124–125. M. pseudolatecostata. Figs. 126–127. M. fimbriata. Fig. 126. SEM valve view. Fig. 127. LM valve view. Fig. 128. M. urveae. Figs. 129–131. M. binotata. Fig. 132. Licmophora remulus. Scale bar: figs. 124–126, 128, 130 = 1 μm, figs. 123, 127, 129, 131, 132 = 10 μm.
FIGURES 48–56. Figs. 48–50. Plagiogramma wallichianum. Fig. 48. SEM whole valve. Fig. 48a. SEM apical pore field. Fig. 48b in Diatoms (Bacillariophyta) From Artificial Substrates And Sediments In The Caribbean Sea Off Yucatan, Mexico
FIGURES 48–56. Figs. 48–50. Plagiogramma wallichianum. Fig. 48. SEM whole valve. Fig. 48a. SEM apical pore field. Fig. 48b. SEM detail of the rotae occluding areolae. Fig. 49. LM frustule in girdle view. Fig. 50. SEM frustule showing epicingulum overlapping hypocingulum. Figs. 51–52. P. rhombicum. Fig. 51. LM valve view. Fig. 52. SEM frustule in girdle view. Fig. 53. P. pulchellum var. pygmaeum. Fig. 54. Dimeregramma minus var. nanum, SEM whole valve. Figs. 55–56. Plagiogramma pulchellum. Fig. 55. SEM valve view. Fig. 56. LM valve view. Scale bar: figs. 48, 50, 52, 54 = 1 μm, figs. 49, 51, 53, 55 = 10 μm.
FIGURES 163–176. Figs. 163–165. Diploneis splendida. Fig. 163. SEM valve view. Figs. 164–165 in Diatoms (Bacillariophyta) From Artificial Substrates And Sediments In The Caribbean Sea Off Yucatan, Mexico
FIGURES 163–176. Figs. 163–165. Diploneis splendida. Fig. 163. SEM valve view. Figs. 164–165. LM valve view. Fig. 166. D. crabro. Fig. 167. D. crabro var. dirhombus. Figs. 168–173. D. bomboides. Figs. 168–170, 173. LM valve view. Fig. 171. SEM valve view. Fig. 172. SEM frustule view. Fig. 174. D. chersonensis. Fig. 175. D. bomboides. Fig. 176. D. suborbicularis. Scale bar: figs. 163 = 1 μm, figs. 164–176= 10 μm.
FIGURES 202–210. Figs. 202–206 in Diatoms (Bacillariophyta) From Artificial Substrates And Sediments In The Caribbean Sea Off Yucatan, Mexico
FIGURES 202–210. Figs. 202–206. Amphora sp. 1. Fig. 207. Amphora sp. 2. Fig. 208. Amphora sp. 3. Fig. 209. Amphora sp. 4. Fig. 210. Amphora sp. 5. Scale bar: = 1 μm.
FIGURES 38–47. Figs. 38–41, 44–47. Triceratium reticulum. Figs. 42–43. T. sculptum. Fig. 38. SEM external valve view. Fig. 38a. SEM external view showing the pseudocelli. Figs. 39–47 in Diatoms (Bacillariophyta) From Artificial Substrates And Sediments In The Caribbean Sea Off Yucatan, Mexico
FIGURES 38–47. Figs. 38–41, 44–47. Triceratium reticulum. Figs. 42–43. T. sculptum. Fig. 38. SEM external valve view. Fig. 38a. SEM external view showing the pseudocelli. Figs. 39–47. LM different foci in valve view. Scale bar: fig. 38a = 1 μm, figs. 38, 39–47 = 10 μm.
FIGURES 95–108. Figs. 95–96. Cocconeis thalassiana. Fig. 95. SEM raphe–sternum valve. Fig. 96 in Diatoms (Bacillariophyta) From Artificial Substrates And Sediments In The Caribbean Sea Off Yucatan, Mexico
FIGURES 95–108. Figs. 95–96. Cocconeis thalassiana. Fig. 95. SEM raphe–sternum valve. Fig. 96. LM sternum valve. Fig. 97 C. lineata. Fig. 98. C. scutellum var. minutissima. Fig. 99, 100, 103–104. C. disculus. Fig. 101. C. placentula var. euglypta. Fig. 102. C. angularipunctata. Fig. 103. SEM valve view. Fig. 104. LM valve view. Fig. 106. C. sovereignii, LM frustule in girdle view. Fig. 107. C. peltoides, SEM internal view. Fig. 108. C. pseudomarginata. Scale bar: figs. 97–104, 106–108 = 1 μm, figs. 95–96 = 10 μm.
FIGURES 183–188. Fig. 183. Petroneis marina. Figs. 184–185. P. plagiostoma. Fig. 184 in Diatoms (Bacillariophyta) From Artificial Substrates And Sediments In The Caribbean Sea Off Yucatan, Mexico
FIGURES 183–188. Fig. 183. Petroneis marina. Figs. 184–185. P. plagiostoma. Fig. 184. LM valve view. Fig. 185. SEM valve view. Fig. 186. Lyrella approximatoides. Fig. 187. L. diffluens. Fig. 188. L. clavata var. caribaea. Scale bar = 10 μm.
FIGURES 150–162. Figs. 150–151. Diploneis smithii, 154–156. Diploneis vacillans. Fig. 150. SEM valve view. Figs. 151, 154–156 in Diatoms (Bacillariophyta) From Artificial Substrates And Sediments In The Caribbean Sea Off Yucatan, Mexico
FIGURES 150–162. Figs. 150–151. Diploneis smithii, 154–156. Diploneis vacillans. Fig. 150. SEM valve view. Figs. 151, 154–156. LM valve view. Figs. 152–153. D. litoralis var. clathrata. Fig. 152. SEM internal valve view. Fig. 153. LM valve view. Fig. 157. D. papula. Fig. 158. D. obliqua. Fig. 159. Cocconeiopsis patrickae. Fig. 160. Achnanthes citronella, SEM internal valve view. Fig. 161. Diploneis cf. domblittensis, SEM internal valve view. Fig. 162. Mastogloia pusilla var. subcapitata. Scale bar: figs. 150, 152, 157, 159, 162 = 1 μm, figs. 151, 153–155, 158, 160–161 = 10 μm.
FIGURES 81–94. Figs. 81–83. Hyalosynedra laevigata. Fig. 8a in Diatoms (Bacillariophyta) From Artificial Substrates And Sediments In The Caribbean Sea Off Yucatan, Mexico
FIGURES 81–94. Figs. 81–83. Hyalosynedra laevigata. Fig. 8a. SEM detail of external view of ocellulimbus. Figs. 84–86. Tabularia fasciculata. Fig. 86a. SEM detail of external view of ocellulimbus. Figs. 87–89, 94. Grammatophora marina, SEM frustule in girdle view. Figs. 90–91. G. serpentina. Fig. 90. LM valve view. Fig. 91. LM frustule in girdle view. Fig. 92. G. serpentina var. pusilla, LM frustule in girdle view. Fig. 93. G. undulata, LM frustule in girdle view. Scale bar: figs. 81–83, 85–86, 88, 94 = 1 μm, figs. 84, 87, 89–93 = 10 μm.
Analysis of mitochondrial respiratory pathway and coupling control by substrate-uncoupler-inhibitor titration reference protocols
Open the record for dataset details and reuse information.
FIGURE 2. Habitat and the substrate where Nodosilinea svalbardensis was found. A in New cyanobacterium Nodosilinea svalbardensis sp. nov. (Prochlorotrichaceae, Synechococcales) isolated from alluvium in Mimer river valley of the Svalbard archipelago
FIGURE 2. Habitat and the substrate where Nodosilinea svalbardensis was found. A. The habitat in the river valley. B. Macrocolony of Nostoc commune under which N. svalbardensis occurred.
Enzyme-Substrate Interaction Dataset and Trained MEI Model for Deep Learning-Driven Insights
<p>This dataset and trained model are provided as part of our research on <em>Deep Learning-Driven Insights into Enzyme-Substrate Interaction Discovery</em>.</p>
Data from: Effects of organism and substrate size on burial mechanics of English sole, Parophrys vetulus
Flatfishes use cyclic body undulations to force water into the sediment and fluidize substrate particles, displacing them into the water column. When water velocity decreases, suspended particles settle back onto the fish, hiding it from view. Burial may become more challenging as flatfishes grow because the area to be covered increases exponentially with the second power of length. In addition, particle size is not uniform in naturally occurring substrates, and larger particles require higher water velocities for fluidization. We quantified the effects of organism and particle-size scaling on burial behavior of English Sole, Parophrys vetulus. We recorded burial events from a size range of individuals (5-32 cm TL), while maintaining constant substrate grain-size. Larger fish used lower cycle frequencies and took longer to bury, but overall burial performance was maintained (~100% coverage). To test the effect of particle size on burial performance, individuals of similar lengths (5.7-8.1 cm TL) were presented with different substrate sizes (0.125-0.710 mm). Particle size did not affect cycle frequency or time to burial, but fish did not achieve 100% coverage with the largest particles because they could not fluidize this substrate. Taken together, these results suggest that both body size and substrate grain size can potentially limit the ability of flatfishes to bury: a very large fish (>150 cm) may move too slowly to fluidize all but the smallest substrate particles and some particles are simply too large for smaller individuals to fluidize.
Substrate induced currents through the monoamine transporters and single cell uptake of the fluorescent substrate APP+
<p>The concentrative power of the transporters for dopamine (DAT), norepinephrine (NET) and serotonin (SERT) is thought to be fueled by the transmembrane Na<sup>+</sup> gradient, but it is conceivable that they can also tap other energy sources, e.g. membrane voltage and/or the transmembrane K<sup>+</sup> gradient. We address this by recording uptake of endogenous substrates or the fluorescent substrate APP<sup>+</sup> ((4-(4-dimethylamino)phenyl-1-methylpyridinium) under voltage control in cells expressing DAT, NET or SERT. We show that DAT and NET differ from SERT in intracellular handling of K<sup>+</sup>. In DAT and NET, substrate uptake was voltage-dependent due to the transient nature of intracellular K<sup>+</sup> binding, which precluded K<sup>+</sup> antiport. SERT, however, antiports K<sup>+</sup> and achieves voltage-independent transport. Thus, there is a trade-off between maintaining constant uptake and harvesting membrane potential for concentrative power, which we conclude to occur due to subtle differences in the kinetics of co-substrate ion binding in closely related transporters.</p>
Machine Learning-Assisted Sampling of SERS Substrates Improves Data Collection Efficiency: raw data and code
<p>Raw datasets and media accompanying the manuscript: <strong>Machine Learning-Assisted Sampling of SERS Substrates Improves Data Collection Efficiency</strong>: data, published in <em>Applied Spectroscopy </em>in 2021</p>
Effects of Application of Recycled Chicken Manure and Spent Mushroom Substrate on Organic Matter, Acidity, and Hydraulic Properties of Sandy Soils
<p>This study aimed at examining the effects of long-term application of<br> chicken manure (CM) and spent mushroom substrate (SMS) on organic matter accumulation, acidity,<br> and hydraulic properties of soil. Two podzol soils with sandy texture in Podlasie Region (Poland)<br> were enriched with recycled CM (10 Mg ha1) and SMS (20 Mg ha1), respectively, every 1–2 years<br> for 20 years. The application of CM and SMS increased soil organic matter content at the depths<br> of 0–20, 20–40, and 40–60 cm, especially at 0–20 cm (by 102–201%). The initial soil pH increased in<br> the CM- and SMS-amended soil by 1.7–2.0 units and 1.0–1.2 units, respectively. Soil bulk density at<br> comparable depths increased and decreased following the addition of CM and SMS, respectively.<br> The addition of CM increased field water capacity (at –100 hPa) in the range from 45.8 to 117.8%<br> depending on the depth within the 0–60 cm layer. In the case of the SMS addition, the value of the<br> parameter was in the range of 42.4–48.5% at two depths within 0–40 cm. Depending on the depth, CM<br> reduced the content of transmission pores (>50 m) in the range from 46.3 to 82.3% and increased the<br> level of residual pores (<0.5 m) by 91.0–198.6%. SMS increased the content of residual pores at the<br> successive depths by 121.8, 251.0, and 30.3% and decreased or increased the content of transmission<br> and storage pores. Additionally, it significantly reduced the saturated hydraulic conductivity at<br> two depths within 0–40 cm. The fitted unsaturated hydraulic conductivity at two depths within the<br> 0–40 cm layer increased and decreased in the CM- and SMS-amended soils, respectively. The results<br> provide a novel insight into the application of recycled organic materials to sequester soil organic<br> matter and improve crop productivity by increasing soil water retention capacity and decreasing<br> acidity. This is of particular importance in the case of the studied low-productivity sandy acidic soils<br> that have to be used in agriculture due to limited global land resources and rising food demand.</p>
Figure 7 in Spatial distribution and substrate selection by the orb-weaver spider Eustala perfida Mello-Leitão, 1947 (Araneae: Araneidae)
Figure 7. Mean density of spiders at three plots recorded altitudes of Serra do Japi (altitudes: DAE = 850 m; BASE = 1000 m; TV = 1294 m).
Figure 5 in Spatial distribution and substrate selection by the orb-weaver spider Eustala perfida Mello-Leitão, 1947 (Araneae: Araneidae)
Figure 5. (A) Female of Eustala perfida in substrate containing lichens and mosses; (B) E. perfida in the centre of the web, apart of the stem about 2 cm; (C) frequency of sites with and without concavities in tree trunks (expected) (n = 875) and frequency of spiders found in sites with and without depression (observed) (n = 100). Photographs: Y.F. Messas.
Figure 4 in Spatial distribution and substrate selection by the orb-weaver spider Eustala perfida Mello-Leitão, 1947 (Araneae: Araneidae)
Figure 4. (A) Comparison of the frequencies of diameter of available tree trunks and trunks where Eustala perfida was found; (B) number of trees, by diameter classes, in the areas of Tv Cultura, DAE and Base.
Figure 3 in Spatial distribution and substrate selection by the orb-weaver spider Eustala perfida Mello-Leitão, 1947 (Araneae: Araneidae)
Figure 3. (A) Frequency of smooth and rough trunks with diameters up to 10 cm (n = 413) in samples of plots and occurrence of Eustala perfida on them (n = 158); (B) frequency of each subcategory of tree trunks and frequency of occupation by Eustala perfida on them.
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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.