Skip to main content
Powered by ShareScore

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.

29

datasets available to search

ShareScore release 0.7.1

Reset

Dataset results

29 results for “leaf temperature”

Learn how ShareScore rates datasets ↗
zenodo44/100

Compiled database, code and raw data for the article "A Comprehensive Database of Leaf Temperature, Water, and CO2 Fluxes in Young Oil Palm Plants Across Diverse Climate Scenarios for the Evaluation of Functional-Structural Models"

<p>This dataset results from an experiment on young oil palm plants (<em>Elaeis guineensis</em>) in the Ecotron facility from CNRS in Montpellier. Four plants were put in a microcosm one by one with varying climatic conditions to investigate the effect of climate on leaf temperature, CO2, and H2O fluxes at the plant scale. The conditions were defined based on typical daily conditions from a location where it is grown (Libo, Indonesia),&nbsp;<em>i.e.</em>, a day with no rainfall and near-average air temperature and humidity. This base condition was then modified by adding more CO2 (400, 600 and 800ppm), less radiation (typical cloudy sky), and more or less temperature and vapour pressure deficit (&plusmn; 30%).</p> <p>Find more details from the <code>README.md</code> file in the repository or from the associated <a href="https://github.com/PalmStudio/Biophysics_database_palm" target="_blank" rel="noopener">Github repository</a>.</p>

opencc-by-4.0Jul 2024View details →
zenodo44/100

Nocturnal leaf respiratory CO2 release in different species measured at constant temperature

<p>RAW data for GCB publication by Dan Bruhn, Martijn Slot, and Lina M Mercado, '<span>Simple and accurate representation of cumulative night-time leaf respiratory CO<sub>2</sub>-efflux'</span></p> <p><span>Nocturnal leaf respiratory CO2 release in 14 different species measured at constant temperature measured in the field.</span></p>

opencc-by-4.0Sep 2024View details →
edi44/100

Leaf temperature of northeastern US tree species

Leaf temperature measurements were collected during the summer of 2020 within forested areas at the Thompson Farm Earth Systems Observatory in Durham, New Hampshire, USA. Located within the property is a registered Ameriflux site, Thompson Farm Forest (US-TFF), as well as experimental throughfall exclusion plots that are part of DroughtNet (experiment running since 2015). Leaf temperature measurements were made within the footprint of the eddy covariance flux tower as well as within both control and throughfall exclusion treatment plots. Upper canopy foliage was accessed using a bucket lift and in situ measurements made using a handheld thermal IR sensor. All data were paired with concurrent meteorological measurements from US-TFF or data from a co-located NOAA CRN station (NH Durham 2 SSW). Additionally, leaf chemical, physical, structure, and physiological traits have been measured at this site as well as canopy scale measures of structure and UAV-based spectral, thermal, and lidar imagery. Specific to this leaf temperature dataset, leaf-level light, temperature, and vpd photosynthetic response curves were measured.

openCC (other)Feb 2023View details →
zenodo40/100

Investigating the Utility of Potato (Solanum tuberosum L.) Canopy Temperature and Leaf Greenness Responses to Water-Restriction for the Improvement of Irrigation Management Data

<p><span>Traits that rapidly respond to stress in important agricultural crops have the potential to provide growers with actionable feedback. E.g., traits that respond to water-restriction could inform irrigation systems by identifying crop water status and requirements in real-time. This would be particularly useful for potato, which is extremely susceptible to drought. We conducted two pot experiments and one field experiment to evaluate the utility of two traits, canopy temperature and leaf greenness, for informing irrigation management in potatoes. We also evaluated the efficacy of Phenospex PlantEye F500 sensors for the remote sensing of leaf greenness. We found that canopy temperatures of the cvs. Maris Piper (Spring Pot Experiment, +0.8&deg;C; Autumn Pot Experiment, +5.3&deg;C) and D&eacute;sir&eacute;e (Autumn Pot Experiment, +2.5&deg;C) increased with water-restriction and that the canopy temperatures of Maris Piper return to baseline within three days after the resumption of well-watered conditions. We also found that these responses varied between cultivars, with predictable outcomes based on reported and corroborated drought tolerance ratings. We found inconclusive evidence of leaf greenness increasing due to water-restriction (Spring Pot Experiment, +0.8&deg;C; Autumn Pot Experiment, +5.3&deg;C) and found no evidence that post-drought recovery periods return this trait to baseline. However, leaf greenness measurements from the Phenospex PlantEye F500 were moderately to strongly correlated with SPAD values, suggesting this tool might be useful in the screening of drought-tolerant cultivars in the future.</span></p>

opencc-by-4.0Mar 2024View details →
dryad40/100

Data from: Plant richness, land use and temperature differently shape invertebrate leaf-chewing herbivory on plant functional groups

<p class="MsoNormal">Nutrient demands of leaf-chewing invertebrate herbivores change with temperature, which causes shifts in herbivores' diets. Temperature may act differently on herbivore species, so that factors shaping herbivore species richness may modulate temperature effects on invertebrate herbivory among plant functional groups with different nutrient composition (C:N ratio low to high: legumes, non-leguminous forbs, grasses). Global warming urges a deeper understanding of temperature effects on herbivory among plant functional groups in different habitats and landscapes. This study obtained measures on proportional leaf area loss to leaf-chewing invertebrate herbivores ('herbivory') on three plant functional groups on 80 plots of open herbaceous vegetation adjacent to different habitat types (forest, grassland, arable field, settlement) along climate and land-use gradients in Bavaria, Germany. Herbivory was analysed with regard to habitat characteristics (habitat type, plant richness at species and family level, local mean temperature), landscape characteristics (proportion of grassland, landscape diversity; 0.2–3.0-km), climate (multi-annual mean temperature, 'MAT') and interactive effects of plant functional group, temperature and habitat or landscape characteristics. Herbivory on plant functional groups changed differently in response to plant richness (family level only) and habitat type, but not to differences in landscape characteristics and temperature – only on grassland plots, multi-annual mean temperature differentially affected herbivory among plant functional groups. Thus, abiotic and biotic factors can differently affect leaf-chewing herbivory on plant functional groups. Under current conditions, plant richness and habitat type more strongly affected herbivory among legumes, forbs and grasses than temperature and landscape-scale land use.</p>

opencc-zeroJun 2022View details →
zenodo40/100

Cross-site Canopy Leaf Temperature and associated Environmental Data

<p>This dataset includes canopy leaf temperature along with meteorology, flux, and radiation data from 6 forest sites in North and Central America. Canopy temperature (Tcan) data are based on thermal images&nbsp;to understand how Tcan varies with Tair and with environmental conditions. Importantly, these measurements span multiple growing seasons and are near-continuous in nature, as they were collected by thermal cameras mounted on eddy covariance towers that also measured a wide range of co-located environmental variables, including Tair, relative humidity, wind speed and direction, short- and long wave radiation, soil moisture and temperature, and ecosystem-atmosphere exchanges of CO<sub>2</sub>, H<sub>2</sub>O, and energy. We necessarily averaged multiple leaves in each region of interest at each site, and we then averaged multiple thermal images into hourly data, so some extremes in Tcan are not captured.</p>

opencc-by-4.0Dec 2021View details →
zenodo40/100

Fine-root biomass production, sedge root, sedge leaf, and moss shoot decomposition, soil water-table level, and temperature data from two sedge fens in Finland

<p>Dataset including fine-root biomass production, mass loss of sedge (<em>Carex rostrata</em>) roots and leaves, and moss (<em>Sphagnum</em> <em>fallax</em>) shoots, along with environmental data (soil water-table level, air temperature, soil temperature at 5 cm, and soil temperature at 15 cm) from two sedge fens located in southern Finland (Lakkasuo, Orivesi, 61&deg;48' N 24&deg;19'E) and northern Finland (Lompoloj&auml;nkk&auml;, Kittil&auml;, 68&deg;N 24&deg;12'E). Data are from a climate change experiment, where warming was induced with open top chambers (OTCs) and drying with shallow ditching. Data are from years 2011-2013.</p>

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

Fig. 1 in Effect of leaf decomposition stage and water temperature on fragmentation activity of a shredder invertebrate species in lotic ecosystems

Fig. 1. Schematic representation of the eXperimental design of the present study. EXperiment I: nine discs of senescent (S) and nine discs of conditioned senescent (SCD) wastes were used in each aquarium in the absence of shredder invertebrates. EXperiment II: nine discs of senescent (S), nine discs of conditioned senescent (SCD) and nine discs of green detritus (G) were used in each aquarium in the presence of shredded invertebrates (Phylloicus sp.).

opencc-by-4.0Dec 2017View details →
zenodo40/100

Fig. 2 in Effect of leaf decomposition stage and water temperature on fragmentation activity of a shredder invertebrate species in lotic ecosystems

Fig. 2. Mean values and standard error of leaf mass loss (LML) of senescent (senescent plus conditioned senescent, due to the absence of visual distinction by coloration) and green detritus for larval case production by Phylloicus sp. in the different water temperature treatments at Capetinga Stream, Água Limpa Farm, Brasília, Brazil.

opencc-by-4.0Dec 2017View details →
zenodo40/100

Figure 1. Air temperature and rainfall during the study between February 2015 and January 2016 in Intra-annual colonization of Chironomidae on leaf litter in a Brazilian Cerrado stream

Figure 1. Air temperature and rainfall during the study between February 2015 and January 2016 in the Boiadeiro stream, Mucugê, BA, Brazilian Cerrado. Data: http://www.snirh.gov.br/hidroweb/ serieshistoricas (Hidroweb 2020).

opencc-by-4.0Nov 2022View details →
dryad40/100

Data from: Plant richness, land use and temperature differently shape invertebrate leaf-chewing herbivory on plant functional groups

Open the record for dataset details and reuse information.

publicJun 2022View details →
dryad36/100

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>

opencc-zeroAug 2020View details →
dryad36/100

Photosynthetic heat tolerances and extreme leaf temperatures

Open the record for dataset details and reuse information.

publicAug 2020View details →
dryad36/100

Plastic responses to hot temperatures homogenize riparian leaf litter, speed decomposition, and reduce detritivores

Open the record for dataset details and reuse information.

publicAug 2023View details →
dryad36/100

Data From: Respiratory temperature responses of tropical conifers differ with leaf morphology

Open the record for dataset details and reuse information.

publicApr 2021View details →
dryad36/100

High-resolution, long-term, continuous leaf temperature measurements in an Indian tropical forest

Open the record for dataset details and reuse information.

publicFeb 2025View details →
dryad36/100

Data from: Reduced soil moisture drives leaf anatomical shifts more than chronically elevated temperatures in European temperate trees

Open the record for dataset details and reuse information.

publicFeb 2025View details →
dryad36/100

Data from: Plasticity in hydraulic architecture: Riparian trees respond to increased temperatures with genotype-specific adjustments to leaf traits

Open the record for dataset details and reuse information.

publicDec 2024View details →
dryad32/100

Data from: Decoupled evolution of foliar freezing resistance, temperature-niche and morphological leaf traits in Chilean Myrceugenia

1. Phylogenetic conservatism of tolerance to freezing temperatures has been cited to explain the tendency of plant lineages to grow in similar climates. However there is little information about whether or not freezing resistance is conserved across phylogenies, and whether conservatism of physiological traits could explain conservatism of realized climatic niches. Here we compared the phylogenetical lability of realized climatic niche, foliar freezing resistance, and four morphological leaf traits that are generally considered adaptations to frost resistance in Chilean species of Myrceugenia, which grow in a wide range of habitats. 2. We estimated the predicted niche occupancy profiles with respect to minimum temperature (minT) of all species. We measured foliar freezing resistance (using chlorophyll fluorescence), leaf size, leaf mass per area (LMA), stomatal and trichome densities of ten individuals per species. Finally, we estimated phylogenetic signal and we performed independent contrast analyses among all variables. 3. We found that both foliar freezing resistance and minT were subject to a significant phylogenetic signal, but the former had a stronger signal. We also detected a significant but weak correlation between them (r=0.49, pone tail= 0.04). Morphological traits evolved independent of any phylogenetic effect. Synthesis. Our results show that freezing resistance evolved in association with temperature niche, but with some delay that could result from phylogenetic inertia. Our results also show that morphological leaf traits are more labile than realized climatic niche and frost tolerance and the former probably evolved associated to microhabitat preferences.

opencc-zeroDec 2013View details →
dryad32/100

Leaf traits and leaf-to-air temperature differences in tropical plants suggest variability in thermoregulatory capacities across elevations

<p>Understanding thermoregulation in plants is critical to predicting the consequences of global warming on terrestrial ecosystems. I present empirical evidence that leaf traits and leaf-to-air temperature differ among plants from a tropical elevation gradient. These findings suggest the existence of specific plant adaptations for thermoregulation across varying elevational zones.</p>

opencc-zeroApr 2024View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

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.

abode-home-cage
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