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27 results for “canopy temperature”
Florida Bay Seagrass Canopy Temperature Data, Everglades National Park (FCE LTER), South Florida, USA, September 2000 - ongoing
Point measurements of hourly temperature readings at the canopy height of a seagrass bed collected during visits to TS/Ph 7a, TS/Ph8, TS/Ph9, TS/Ph10 and TS/Ph11. Graphic representation of seagrass status and trends monitoring data and other related information can be located at http://serc.fiu.edu/seagrass/!CDreport/DataHome.htm
Hubbard Brook Experimental Forest: Hourly Temperature Under Canopy by HOBO sensors at Valleywide Plots, 2013-2020
Air temperature at 1.5 m agl is measured at hourly intervals under the canopy at every fifth valleywide plot plus one more between watersheds 1 and 4. The sensors are maintained by bird crews and volunteers. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the US Forest Service, Northern Research Station.
Understory percent cover, plant traits, canopy LAI, PAR, temperature, and soil moisture data at multiple time points for sites in the burn chronosequence and Indian Point forest at the University of Michigan Biological Station, Pellston, MI (2022-2023)
Community ecology has sought to understand the mechanisms by which plant communities are assembled through time and space. One prominent way to address how communities are assembled is by quantifying functional traits. While there is a tremendous body of literature on functional traits, debate persists about how to account for variation in measured traits. For example, intraspecific trait variation (ITV) can be equal to or greater than interspecific trait variation and ITV has also been found to vary greatly across years. Therefore, there is a need to account for variability in functional trait measures among and within species and through time to improve our understanding of community assembly. Chronosequences are a powerful tool to address temporal changes in community dynamics, however, the inclusion of understory plants in forest chronosequence studies is still relatively uncommon. Previous chronosequence studies have been primarily performed in grasslands or in a limited subset of forest types, so further work is needed in understory plant traits across other ecosystems and climates to improve trait-based understanding of understory plant communities through time. Additionally, because plant traits change as ecosystems age, community interactions are likely to change with ecosystem age. Interactions of particular interest are herbivory, arthropod predation, and the influence of plant traits on arthropod diversity.
Vertical tree air temperature measurements within the canopy of the HJ Andrews Experimental Forest, 2011-2019
Vertical air temperature from 11 trees in the Andrews Forest has been collecting beginning in 2011. The trees are at a variety of elevations and are of various species and ages. The 11 trees were selected form the H.J Andrews phenology study air temperature network (MS045). This study examines air temperatures at multiple heights in each tree. The first sensor is at 1.5 m and subsequent sensors measure every 5 m up the tree. Each sensor includes a light (illumination) sensor, which can be used to assess the value of the data. This is not a measurement of the actual light conditions.
Soil and canopy temperature data from the Arctic LTER Moist Acidic Tussock Experimental plots (MAT89) from 2012 to 2018, Toolik Field Station, North Slope, Alaska
Soil and canopy temperature data from the Arctic LTER 1989 Moist Acidic Tussock Experimental plots(MAT89). The station was established in 1990 in block 2 of a 4 block random block design. The plots are located on a hillside near Toolik Lake, Alaska (68 38' N, 149 36'W). Treatments include - control (CT), greenhouse (GH), greenhouse plus nitrogen and phosphorus (GHNP) shade (SH), shade plus nitrogen and phosphorus (SHNP) and nitrogen and phosphorus (NP). Profiles include above and within canopy, 10, 20 and 40 centimeter soil depths. Not all treatments have a complete profile. Meteorological data was also collected but are included in a separate data set.
Canopy Trimming Experiment Micrometeorological Data - Air and Soil Temperature Daily Averages
Air and soil temperature and soil moisture was measured at the Canopy Trimming Experiment (CTE) using Campbell dataloggers and sensors. This data set includes average daily values for the three variables, as measured by the dataloggers, programed to obtain the average of three monitoring points per plot. CTE experimental description is presented in the Research Project page of this experiment. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Canopy Trimming Experiment (CTE) Hourly Air Temperature data
Hourly air temperature measured by sensors in 3 points within each of the 12 CTE Plots from 2003 to 2009. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Northeastern Puerto Rico open-canopy and under-canopy temperature and moisture data on an elevational gradient
The data archive is here:https://doi.org/10.2737/RDS-2022-0051 please use this DOI when citing this dataset. This data publication contains monthly means of temperature and moisture data collected from August 2006 through September 2021 from 22 locations along an elevational gradient, from 0 to 1045 meters, in Northeastern Puerto Rico. The higher elevational data are in the Luquillo Experimental Forest (El Yunque National Forest). Five kinds of data are included: air temperature and precipitation measured in the open (not under canopy) at 20 locations, air temperature and soil temperature both measured under the canopy at all 22 locations, and soil moisture under the canopy at 4 locations. Two locations have 3 sites each, measured in different canopy types at the same location. The other 20 locations have one site each, making a total of 26 measurement sites. Data are provided as monthly averages at each site. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Photosynthetically active radiation (PAR) measurements, relative humidity, and temperature data logged every five minutes from Betula nana and Salix pulchra shrub canopies, summer of 2012 in vicinity of Toolik Lake, Alaska.
This file contains PAR , relative humidity, and temperature data logged every five minutes from within, below, and above Betula nana and Salix pulchra shrub canopies at two locations near Toolik Lake, Alaska during the summer of 2012. The location of the PAR sensor and dataloggers were co-located with the LTER shrub plots (block 1 and 2), also used for the chamber flux and point frame measurements taken this same year. There were two logging sites (block 1 and 2), each of which had five PAR sensors, two for each shrub canopy and one above, as well as three sensors to log relative humidity and temperature. Additional data about the daily instrument output from these sites can be found in the file "ShrubCanopy_DailyLogger".
Daily summaries of photosynthetically active radiation (PAR), relative humidity, and temperature data logged above, within, and below Betula nana and Salix pulchra shrub canopies during the summer of 2012 in vicinity of Toolik Lake, Alaska.
This file contains limited daily summaries of PAR, relative humidity, and temperature data monitored above, within, and below Betula nana and Salix pulchra shrub canopies at two locations near Toolik Lake, Alaska during the summer of 2012. The location of the PAR sensor and dataloggers were co-located with the LTER shrub plots (block 1 and 2), also used for the chamber flux and point frame measurements taken this same year. There were two logging sites (block 1 and 2), each of which had PAR five PAR sensors, two for each shrub canopy and one above, as well as three sensors to log relative humidity and temperature. This file contains maximum PAR, total daily PAR, and daily average temperature data, as well as intermittant maximum and minimum values for temperature and relative humidity. Data monitored every five minutes is available in the file "ShrubCanopy_InstantLogger".
Minneapolis-St. Paul, MN Canopy Temperature and Combined Urban Tree Index (CUTI), 2018-2021
This dataset includes a series of raster datasets of canopy temperature across Minneapolis-St. Paul, MN at a resolution of approximately 70 meters. There are data from five different warm, summer afternoons from 2018-2021. The canopy temperature data was derived from ECOSTRESS Land Surface Temperature and Emissivity data and high-resolution land cover data using a downscaling approach. Canopy temperature acts as a proxy of canopy health and function, with higher temperatures indicative of higher stress and lower function in the canopy. For each image, we also compute the combined urban tree index (CUTI), a metric we developed that provides an indication of relative benefits from urban canopy which arise from a combination of the amount and function/health of urban canopy (based on the canopy temperature). CUTI ranges from 0-1, with high values indicating areas likely experiencing greater canopy benefits due to greater canopy cover and better canopy health/function.
Mobile temperature measurements and surrounding canopy characteristics in downtown Madison, WI, summer 2023
This dataset includes temperature and solar radiation measurements collected by a bicycle-mounted mobile sensor. Measurements were collected along four different transects in downtown neighborhoods in Madison, Wisconsin, over the course of five days during the 2023 summer. In addition to the measurements made by the mobile sensor, this dataset includes attributes of surrounding street trees, impervious cover, and overhead canopy cover, within 15 m, 25 m, and 35 m radii of each measurement location.
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°C; Autumn Pot Experiment, +5.3°C) and Désirée (Autumn Pot Experiment, +2.5°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°C; Autumn Pot Experiment, +5.3°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>
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 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>
Understory and canopy phenology, I/Io, solar radiation, and temperature related to Trelease Woods, Urbana, IL, USA from 1995–2022
<p>This study used phenological field observations made year-round for 15 dominant canopy tree species (1995-2022), understory saplings of three species (1995-2022), and 33 herb species (1995-2017) in Trelease Woods, a mature old-growth deciduous forest remnant near Urbana, Illinois, USA. The phenological data sets are paired with basal-area data, mid-day light transmission data from 21 days in 2002, daily solar radiation data from a NOAA (SURFRAD) site at Bondville, Illinois, and daily temperature data from a nearby weather station in Champaign, Illinois. These datasets were used to parameterize models of canopy light transmittance and understory plant light interception.</p> <p>These data sets were used to test the mismatch hypothesis, viz, whether canopy trees or understory plants are more sensitive to climate change, thus changing through time the relative amount of transmitted light understory species intercept. We estimated how four factors (understory phenology, cold temperatures, canopy phenology, and sunlight) individually limit the potential light interception of each understory species.</p>
XXIst century projections of global forest soil and canopy air temperature offsets (CLM5.1, SSP5-8.5)
<p>The following dataset allows to reproduce the figures in <a href="https://iopscience.iop.org/article/10.1088/1748-9326/ad1f04/pdf">Hes et al 2024 </a>. It is generated by CLM5.1 simulations following the SSP5-8.5 scenario and contains the temperature offset between forest and grassland for soil temperature T<sub>g </sub> and canopy air temperature T<sub>c.</sub> The offset temperatures (∆T<sub>g</sub> and ∆T<sub>c</sub>) are defined as the difference between the internal temperature of the forest tile minus the internal temperature of the grassland tile. For each grid cell, we compute the difference between the area-weighted average temperature in forests, and the area-weighted average temperature over grassland.</p> <p>We define the offset for minimum ∆T<sub>g,min</sub>, maximum ∆T<sub>g,max</sub> and mean ∆T<sub>g,mean</sub> soil temperature. ∆T<sub>g,min</sub> (respectively, ∆T<sub>g,mean </sub>and ∆T<sub>g,max</sub>) is derived by selecting the monthly minimum (respectively, mean and maximum) of the 6-hourly forest ∆T<sub>g </sub>and subtracting the simultaneous T<sub>g</sub> over grassland within a grid cell. We consider all grid cells that contain both more than 0% of tree PFT cover (forest) and more than 0% of grass PFT cover (grassland). T<sub>c</sub> offsets (∆T<sub>c,min</sub>,∆T<sub>c,max</sub> and ∆T<sub>c,mean</sub>) are generated using the same method although we note that unlike for ∆T<sub>g</sub>, the differentiation between forest and grassland T<sub>c</sub> also encapsulates a difference in height.<br><br>Here, we provide monthly data for minimum, maximum and mean soil and canopy air temperature for 3 forest PFT-based biomes (boreal, temperate and tropical) and for all forest PFTs (global).<br><br>For more information, refer to the Methods is <a href="https://iopscience.iop.org/article/10.1088/1748-9326/ad1f04/pdf">Hes et al 2024</a></p>
Biodiversity facets, canopy structure and surface temperature of grassland communities
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Understory and canopy phenology, I/Io, solar radiation, and temperature related to Trelease Woods, Urbana, IL, USA from 1995–2022
Open the record for dataset details and reuse information.
Canopy temperature dataset
<p>The shapefile contains a grid of the canopy temperature at a spatial resolution of 70 meters, across New York City. </p> <p>The structure of this shapefile could be described as the following: </p> <p>'nrow': indexes of row<br> 'ncol': indexes of col<br> 'value_fraction': canopy LST at pixel-level<br> 'indep_value': original LST at pixel-level<br> 'date': date<br> 'anomoly': canopy LST anomalies = ['out_value'] - ['indep_value'].mean() <br> 'anomoly_ori': domain anomalies = ['indep_value'] - ['indep_value'].mean()</p>
Canopy temperature dataset, NYC
<p>The shapefile contains a grid of the canopy temperature at a spatial resolution of 70 meters, across New York City. </p> <p>The structure of this shapefile could be described as the following: </p> <p>'nrow': indexes of row<br> 'ncol': indexes of col<br> 'value_fraction': canopy LST at pixel-level<br> 'indep_value': original LST at pixel-level<br> 'date': date<br> 'anomoly': canopy LST anomalies = ['out_value'] - ['indep_value'].mean() <br> 'anomoly_ori': domain anomalies = ['indep_value'] - ['indep_value'].mean()</p>
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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)
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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.