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9 results for “long-distance signalling”

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zenodo40/100

Figure 5 in Hydrogen peroxide is involved in drought stress long-distance signaling controlling early stomatal closure in tomato plants

Figure 5. Growth analysis of shoots and roots of tomato BS II0020 grown under irrigated or drought conditions. (A) fresh weight; (b) dry weight; (c) foliar area; (d) height. Control plants received full irrigation throughout the experiment. The values are the means of each treatment (n= 4), followed by the standard error. The letters over the bars represent the differences in the means between biochemical treatments within each condition, and the asterisks the differences of the same biochemical treatment between the conditions, calculated by Scott-knott test at 5% probability.

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

Figure 4 in Hydrogen peroxide is involved in drought stress long-distance signaling controlling early stomatal closure in tomato plants

Figure 4. Open stomata (a) and water loss by detached leaves (b) of tomato BS II0020. The values are the means of each treatment (n= 4), followed by the standard error. The letters over the bars represent the differences in the means among biochemical treatments within each condition, and the asterisks the differences of the same biochemical treatment between the conditions, calculated by Scott-knott test at 5% probability.

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

Figure 1 in Hydrogen peroxide is involved in drought stress long-distance signaling controlling early stomatal closure in tomato plants

Figure 1. Growth analysis of tomato BS II0020 grown in split-root scheme under full or partial irrigation. (a) fresh weight; (b) dry weight; (c) foliar area; (d) height. Control plants received full irrigation throughout the experiment. The values are the means of each treatment (n= 4), followed by the standard error. The letters over the bars represent the differences in the means between biochemical treatments within each condition, and the asterisks the differences of the same biochemical treatment between the conditions, calculated by Scott-knott test at 5% probability.

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

Figure 7 in Hydrogen peroxide is involved in drought stress long-distance signaling controlling early stomatal closure in tomato plants

Figure 7. Schematic representation of the proposed model for the role of H 2O2 in drought stress responses in tomato plants before and after the decline in shoot turgor. Thus, when there is a mild drought stress, the H O produced by the roots can travel to the shoot 2 2 where it will induce stomatal closure and thus reduce water loss, even before there is a reduction in the leaves water status. On the other hand, when drought stress becomes severe, other signals become part of the drought response complex, such as hormones, pH changes and electrical current, among others. Currently, H O appears to exert a lesser effect on drought signaling. *Several signals, such 2 2 as hormones, chemical elements, reactive nitrogen species, electrical currents, hydraulic signals and pH changes (Christmann et al., 2013; Silva et al., 2015; Karuppanapandian et al., 2017; Huber et al., 2019; Fichman and Mittler, 2020; Mahmood et al., 2020).

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

Figure 3 in Hydrogen peroxide is involved in drought stress long-distance signaling controlling early stomatal closure in tomato plants

Figure 3. Water relations of tomato BS II0020 grown in split-root scheme under full or partial irrigation. (a) relative water content; (b) total transpiration of plants throughout the evaluation period; (c) transpiration per cm2 of leaf area; (d) water use efficiency. Control plants received full irrigation throughout the experiment. The values are the means of each treatment (n= 4), followed by the standard error. The letters over the bars represent the differences in the means among biochemical treatments within each condition, and the asterisks the differences of the same biochemical treatment between the conditions, calculated by Scott-knott test at 5% probability.

opencc-by-4.0Dec 2022View details →
dryad32/100

Data from: Field crickets compensate for unattractive static long-distance call components by increasing dynamic signalling effort

The evolution of multiple sexual signals presents a dilemma since individuals selecting a mate should pay attention to the most honest signal and ignore the rest; however, multiple signals may evolve if, together, they provide more information to the receiver than either one would alone. Static and dynamic signals, for instance, can act as multiple messages, providing information on different aspects of signaller quality that reflect condition at different time scales. While the nature of static signals makes them difficult or impossible for individuals to augment, dynamic signals are much more susceptible to temporary fluctuations in effort. We investigated whether male Texas field crickets, Gryllus texensis, that produce unattractive static signals compensate by dynamically increasing their calling effort. Our findings lend partial support to the compensation hypothesis, as males that called at unattractive carrier frequencies (a static trait) spent more time calling each night (a dynamic trait). Interestingly, this finding was most pronounced in males that called with attractive pulse characteristics (static traits) but did not occur in males that called with unattractive pulse characteristics. Males that signalled with unattractive pulse characteristics (duration and pause) spent less time calling through the night. Our correlative findings on wild caught males suggest that only males that signal with attractive pulse characteristics may be able to afford to pay the costs of both trait exaggeration and increased calling effort to compensate for poor carrier frequencies.

opencc-zeroDec 2015View details →
dryad32/100

Data from: Field crickets compensate for unattractive static long-distance call components by increasing dynamic signalling effort

Open the record for dataset details and reuse information.

publicNov 2017View details →
zenodo28/100

Figure 2 in Hydrogen peroxide is involved in drought stress long-distance signaling controlling early stomatal closure in tomato plants

Figure 2. Electrolyte extravasation (a) and foliar temperature (b) analysis of tomato BS II0020 grown in split-root scheme under full or partial irrigation. Control plants received full irrigation throughout the experiment. The values are the means of each treatment (n= 4), followed by the standard error. The letters over the bars represent the differences in the means between biochemical treatments within each condition, calculated by Scott-knott test at 5% probability.

opencc-by-4.0Dec 2022View details →
zenodo28/100

Figure 6 in Hydrogen peroxide is involved in drought stress long-distance signaling controlling early stomatal closure in tomato plants

Figure 6. Water relations analysis of tomato BS II0020 cultivated under irrigated or drought conditions. (a) relative water content; (b) leaf temperature; (c) total transpiration of plants throughout the evaluation period; (d) average daily transpiration; (e) transpiration per cm2 of leaf area; (f) water use efficiency (shoot dry mass/total transpiration). Control plants received full irrigation throughout the experiment. The values are the means of each treatment (n= 4), followed by the standard error. The letters over the bars represent the differences in the means between biochemical treatments within each condition, and the asterisks the differences of the same biochemical treatment between the conditions, calculated by Scott-knott test at 5% probability.

opencc-by-4.0Dec 2022View details →

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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.

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

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.

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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