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.
2
datasets available to search
ShareScore release 0.9.0
Dataset results
2 results for “leaf photosynthetic heat tolerance”
Photosynthetic heat tolerances and extreme leaf temperatures
<p>Photosynthetic heat tolerances (PHTs) have several potential applications including predicting which species will be most vulnerable to climate change. Given that plants exhibit unique thermoregulatory traits that influence leaf temperatures, and that leaf temperatures can be decoupled from ambient air temperatures, we hypothesized that PHTs should be correlated to extreme leaf temperature as opposed to air temperatures.<b> </b>We measured thermoregulatory traits, maximum leaf temperatures (T<sub>MO</sub>), and two metrics of PHTs (T<sub>crit</sub> and T<sub>50</sub>) for 19 plant species growing in Fairchild Tropical Botanic Garden (Coral Gables, FL, USA). Thermoregulatory traits measured at the Garden were used to parameterize a leaf energy balance model to predict maximum in situ leaf temperatures (T<sub>MIS</sub>) across the geographic distributions of 13 species. T<sub>MO</sub> and T<sub>MIS</sub> were positively correlated with T<sub>50</sub> but were not correlated with T<sub>crit</sub>. The breath of species' thermal safety margins (the difference between T<sub>50</sub> and leaf temperatures) was negatively correlated with T<sub>50</sub>. Our results provide observational and theoretical support for the hypothesis that PHTs may be adaptations to extreme leaf temperature, but refute the assumption that species with higher PHTs are less susceptible to thermal damage. We introduce a novel method for studying plant ecophysiology by incorporating biophysical and species distribution models.</p>
Photosynthetic heat tolerances and extreme leaf temperatures
Open the record for dataset details and reuse information.
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.