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478 results for “High temperature”

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zenodo44/100

Attribution of 2022 August Heavy Precipitation Event in South Korea Using High-resolution Pseudo Global Warming Simulations: Sensitivity to Vertical Temperature Changes

<p>Post-processed CPM simulation datasets used for the paper "Attribution of 2022 August Heavy Precipitation Event in South Korea Using High-resolution Pseudo Global Warming Simulations: Sensitivity to Vertical Temperature Changes".</p>

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

Factors determining distributions of rainforest Drosophila shift from interspecific competition to high temperature with decreasing elevation (original datasets)

<p>This repository provides the data for the manuscript &quot;Factors determining distributions of rainforest Drosophila shift from interspecific competition to high temperature with decreasing elevation&quot;</p> <p>We investigated thermal tolerances and interspecific competition as causes of species turnover in the nine most abundant species of <em>Drosophila</em> along elevational gradients in the Australian Wet Tropics. Specifically, we 1) analyzed the distribution patterns of the studies <em>Drosophila</em> species; 2) fitted thermal performance curves; 3) tested the correlation between multiple thermal traits and distribution patterns; 4) fitted the Beverton-Holt model to describe the single-generation intra- and inter-specific competition effect; 5) examined the long-term effect of competition and temperature on the population size of a pair of Drosophila species.</p> <p>More details are provided in the README file.</p>

opencc-by-4.0Mar 2022View details →
zenodo44/100

High resolution soil moisture and soil temperature data during Hurricane Florence, 2018, over the Carolina region (U.S.)

<p>We set the study domain over the U.S. east coast to cover the Carolinas and the regions that were affected by Hurricane Florence. Therefore, the selected domain covered the area between -86&ordm; to -75&ordm; longitude and 30&ordm; to 40&ordm; latitude. We should note that Hurricane Florence made landfall in the Carolinas on September 14, 2018, as a Category 1 storm.&nbsp; Hurricane reports indicate that &ldquo;Hurricane Florence made landfall near Wrightsville Beach, North Carolina at 7:15 AM EDT (1115 UTC) on September 14 with estimated maximum winds of 90 mph (150 km/h), and a minimum central pressure estimate of 958 millibars. Winds gusts topping 105 mph (169 km/h) were reported in the Outer Banks of North Carolina.&rdquo; Rainfall from Florence, as per the initial reports, suggest possible new records for North Carolina (breaking the record set by Hurricane Floyd in 1999).</p> <p>we used the latest development of the high-resolution land surface assimilation system (HRLDAS) that was retrieved from the Github repository (<a href="https://github.com/NCAR/hrldas-release">https://github.com/NCAR/hrldas-release</a>). The model was coupled to the Noah land surface modeling system and used the multi-layer soil model, complex canopy resistance&nbsp;with the Penman method for calculating evapotranspiration, and frozen ground physics&nbsp;for the simulations.</p> <p>&nbsp;The atmospheric forcing including 2-meter air temperature, shortwave, and long-wave radiation, 2-meter wind speed, 2-meter specific humidity, and surface pressure data was obtained from the NCEP-DOE Reanalysis 2 (available from <a href="https://psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html">psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html</a>). For the precipitation, we used the high-resolution GCIP/EOP surface precipitation NCEP/EMC gridded data (Stage IV) with 4 km of grid spacing. All the forcing data have been retrieved at an hourly frequency from 2016 to 2019. The model was configured with the initial soil moisture and soil temperature conditions at 4 depths (0-10, 10-40, 40-100, 100-200 cm), retrieved from the NCEP data. Other initialization fields including skin temperature and water equivalent snow depth were retrieved from NCEP. The NCEP reanalysis data, however, does not provide &ldquo;plant canopy surface water&rdquo; data which is required as an initialization field. This data was retrieved from the NLDAS dataset. The first two years of the model run (2016 and 2017) were considered as the spin-up, and the outcome during 2018 was used for further analysis and public release.</p>

opencc-by-4.0Jan 2022View details →
zenodo44/100

Dataset: High emission rates and strong temperature response make boreal wetlands a large source of isoprene and terpenes

<p>Dataset used in the article &quot;High emission rates and strong temperature response make boreal wetlands a large source of isoprene and terpenes&quot;</p> <p>The tab-delimited file contains direct surface-atmosphere Volatile Organic Compound fluxes, measured by Eddy Covariance with a Vocus- proton transfer reaction mass spectrometer (Vocus-PTR) at a subarctic fen&nbsp;during 2021. It also contains PAR (Photosynthetic Active Radiation), temperature and flux&nbsp;quality criteria.</p>

opencc-by-4.0Aug 2022View details →
zenodo44/100

Temperature-dependent Lamb wave signals in highly anisotropic CFRP

<p>The dataset contains signals of propagating Lamb waves in highly anisotropic carbon fibre reinforced polymer (CFRP). The reinforcement is unidirectional along 0 deg. A detailed description of the material and its parameters is given in [1]. The arrangement of piezoelectric actuator A and sensors S1-S7 is shown in figure &quot;plate_angular_pzt_arrangement_50x50.png&quot;. Sensors are placed at propagation angles from 0 deg to 90 deg with a step of 15 deg. It should be noted that two piezoelectric transducers bonded&nbsp;to both sides of the plate were used as the actuator. It allowed for exciting Lamb waves with dominant A0 and S0 modes, respectively. Hence, there are two respective zip files with data.</p> <p>The following parameters were used during measurements:</p> <ul> <li>Temperatures: T=[50,40,30,20,10,0,-10,-20,-30,-40,-50];</li> <li>Number of cycles in Hann windowed signals: no_of_cycles=[2,2.5,3];</li> <li>Carrier frequencies of excitation signals [kHz]: frequencies=[20:10:250];</li> <li>Number of averages: 50;</li> <li>Sampling frequency: 10 MHz.</li> </ul> <p>The following equipment was used in the experiment:</p> <ul> <li>Environmental chamber by Angelantoni Test Technologies, model MyDiscovery 600 C;</li> <li>National Instruments waveform generator PXIe-5413;</li> <li>Krohn-Hite voltage amplifier model 7500;</li> <li>Cedrat Technologies LWDS amplifier (used as a charge amplifier);</li> <li>National Instruments oscilloscope PXIe-5105.</li> </ul> <p>Files in CSV format contain environmental chamber data (temperature programme, actual temperature and humidity over time, etc.). This can be read and plotted in Matlab by running the script &ldquo;Read_plot_environmental_chamber.m&rdquo;. There is another file &ldquo;Read_plot_environmental_chamber_plus_DS18B20_RH20_KROHN_A0.m&rdquo; in which temperature was registered also by DS18B20 digital sensor. It loops over all measurements so that it can be used also for reading signals from &ldquo;niscope_avg_waveform.mat&rdquo; in respective subfolders. In particular, sensor signals are stored in the &ldquo;niscope_avg_waveform&rdquo; variable, a matrix of dimensions 8192x7.</p>

opencc-by-4.0Aug 2022View details →
zenodo44/100

Data and code for figures: Temperature dependence of microwave losses in lumped-element resonators made from superconducting nanowires with high kinetic inductance

<p>This directory contains the datasets and code (if applicable) for generating the figures in the research article: Temperature dependence of microwave losses in lumped-element resonators made from superconducting nanowires with high kinetic inductance, <em>Supercond. Sci. Technol.</em>&nbsp;<strong>37</strong> 075013</p>

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

High water temperature significantly influences swimming performance of New Zealand migratory species

<p>Our study examined how temperature variations affect critical swimming speeds of four migratory species. Higher temperatures (26°C) significantly reduced swimming speeds for three species, emphasising the need for fish passage solutions that consider temperature fluctuations. This is crucial for habitat restoration and freshwater fish preservation, especially in a changing climate.&nbsp;</p>

opencc-by-4.0Nov 2023View details →
zenodo44/100

Assessing the prospective environmental performance of hydrogen from high-temperature electrolysis coupled with concentrated solar power

<p>Hydrogen is currently being promoted because of its advantages as an energy vector, its potential to decarbonise&nbsp;the economy, and strategical implications in terms of energy security. Hydrogen from high-temperature electrolysis&nbsp;coupled with concentrated solar power (CSP) is especially interesting since it enhances the last two&nbsp;aspects and could benefit from significant technological progress in the coming years. However, there is a lack of&nbsp;studies assessing its future environmental performance. This work fills this gap by carrying out a prospective life&nbsp;cycle assessment based on the expected values of key performance parameters in 2030. The results show that&nbsp;parabolic trough CSP coupled with a solid oxide electrolyser is a promising solution under environmental aspects.<br> It leads to a prospective hydrogen carbon footprint (1.85 kg CO2 eq/kg H2) which could be classified as&nbsp;low-carbon according to current standards. The benchmarking study for the year 2030 shows that the assessed&nbsp;system significantly decreases the hydrogen carbon footprint compared to future hydrogen from steam methane&nbsp;reforming (81% reduction) and grid electrolysis (51%), even under a considerable penetration of renewable&nbsp;energy sources.</p>

opencc-by-4.0Jul 2022View details →
edi44/100

High-frequency water temperature, chlorophyll fluorescence, wind speed, and photosynthetically active radiation data for 18 globally-distributed lakes 2008 - 2013

Abstract: This dataset was used in the analysis described in the manuscript by Rusak, J. A.J. Tanentzap, J.L. Klug, K. Rose, L.A. Winslow R. Smyth, E. Jennings, D. Pierson, S. Hendricks, A. Laas, E. Ryder, D. White, R. Adrian, L. Arvola, E. de Eyto, H. Feuchtmayr, M. Honti, V. Istanovics, I. Jones, C. McBride, S. Schmidt, G. Zhu. Wind and trophic status explain the temporal and spatial variability of chlorophyll in lakes. In review: Limnology and Oceanography Letters. The variation in chlorophyll fluorescence from 18 globally distributed lakes, was tested at monthly, daily and hourly scales in related to high-frequency measurements of wind, water temperature and radiation within lakes as well as lake productivity and morphometry among lakes. Overall, monthly variation in algal biomass was greater than that expressed at either daily or hourly scales but, combined, these latter time scales were equivalent to seasonal variation. Among lakes, algal biomass variation increased with trophic status while, within-lake variation increased with increasing wind speed variation. Together, our results suggest that predicted changes associated with a changing climate, as well as widespread ongoing cultural eutrophication, have the potential to substantially alter the variability of algal biomass and thus the predictability of the services it provides. This dataset includes the data used in the analysis described above.

openCC (other)Dec 2017View details →
edi44/100

High frequency temperature and dissolved oxygen data from 15 Adirondack lakes during the 2021 warm season

A full understanding of the contemporary status of lake dissolved oxygen and thermal habitat in the face of global change is enhanced by high-frequency monitoring that goes beyond periodic water column profiles of temperature and dissolved oxygen. The data contained herein were used to examine the relationship between both concurrent warming and increasing dissolved organic carbon (DOC) concentrations, and oxythermal habitat status for cold-water species. To obtain high resolution oxythermal habitat characteristics, fifteen lakes in the Adirondack Park of northern New York state were monitored from mid-June to mid-October of 2021. Lakes were outfitted with high-frequency temperature and dissolved oxygen logger chains located in most cases at the deepest point of each lake. Temperature loggers were placed throughout the water column while dissolved oxygen loggers were positioned to best capture low-oxygen portions of the water column based on data from previous years. To enhance vertical resolution, high-frequency data were supplemented with periodic water column profiles. In addition, to provide a comprehensive regional perspective, we include historical DOC and depth data from more than 1,400 Adirondack lakes. Finally, to enhance understanding of fish response to temperature, we include body temperature data from tagged brook trout for two of our intensively monitored lakes during part of the 2023 stratified period.

openCC (other)Nov 2023View details →
edi44/100

High-frequency water temperature and dissolved oxygen data and derived stability and metabolism metrics for nine lakes in northeastern North America for months before and after Tropical Cyclone Irene, Fall 2011

This dataset is used in the analysis published in the following manuscript: Klug, J.L., D.C. Richardson, H.A. Ewing, B.R.Hargreaves, N. R. Samal, D. Vachon, D.C. Pierson, A. E. Lindsey, D. O'Donnell, S.W. Effler, and K.C. Weathers. 2012. Ecosystem effects of a tropical cyclone on a network of lakes in northeastern North America. Environmental Science and Technology 46(21): 11693–11701. We include Quality Assurance Quality Controlled (QAQC) high-frequency dissolved oxygen, wind speed, and water temperature data from nine lakes and reservoirs in northeastern North America which were near the track of Tropical Cyclone Irene in August 2011. These data were collected using a set of in situ, automated monitoring systems associated with the Global Lake Ecological Observatory Network (GLEON) that record data at high frequency (10 min to 6 h). These sensor data were the basis for the derived measures of Schmidt stability, net ecosystem production, respiration, and gross primary production included in the dataset. We also include daily rainfall data collected at on-site or nearby weather stations. All data cover the period from 01 August through 15 October 2011.

openCC (other)Aug 2019View details →
edi44/100

High Frequency Meteorological, Drift-Corrected Dissolved Oxygen, and Thermistor Temperature Data - Lake Sunapee Buoy, NH, USA, 2007 – 2013

The Lake Sunapee Protective Association (Sunapee, New Hampshire, USA) has been operating an instrumented buoy on Lake Sunapee (maximum depth 33.7 meters) beginning on 27 August 2007. The environmental sensors on the buoy from 2007 - 2013 provided information on weather conditions, lake thermal structure, and oxygen dynamics, and their data can be used to calculate physical and biological variables such as buoyancy frequency, thermocline depth, thermal stability, and lake metabolism. The sensors were programmed to collect environmental data every 10 minutes. The buoy collected meteorological data 1.7 meters above the lake surface, including wind speed and direction (Vaisala WXT52 anemometer), air temperature and humidity (Vaisala HMP50), and photosynthetically active radiation (PAR Li-Cor). The water temperature sensors (TempLine thermistors from Apprise Technology in 2007-2010; NexSens T-node sensors 2010-2013) were situated at 0.5-2 meter intervals from 0-14 meters deep with the bottom sensor approximately 1 meter from the sediments. The dissolved oxygen (Zebra-Tech d-opto) sensor was deployed at approximately 1 meter below the surface and recorded oxygen concentration (mg/L), oxygen saturation (%), and temperature at the sensor (oxygen saturation is not included in this dataset). The buoy was anchored at approximately 15 meter deep water near the Loon Island lighthouse in the northern half of the lake, near the deepest part of the lake (43.390 N, -72.057 W). During the winter of 2007 - 2008, the buoy froze into the ice and continually recorded data with the uppermost thermistor below the bottom of the ice. In winter of 2008 - 2009, the buoy was damaged by ice and data were not collected until re-deployment on 29 July 2009. In subsequent years, the buoy was deployed from April or May to October or November at the Loon Island location and limited data were obtained during the winter months at the Sunapee Harbor (43.386 N, -72.081 W). In 2013, the buoy was taken offl

openCC (other)Jan 2020View details →
edi44/100

High-frequency temperature data from four near-shore sites, Lake Sunapee, NH, USA, 2006-2018

Onset temperature loggers were located at four near-shore sites in Lake Sunapee, New Hampshire, USA. The temperature sensors were co-located at sites where monitoring for Gloeotrichia echinulata, a large colonial cyanobacterium, occurred (see EDI data package edi.497). Temperature loggers were deployed during the summer months (approximately June through September) in 2006-2018 at Herrick Cove South (site = HerrickCoveSouth), 2007-2018 South of the Fells (site = SouthOfTheFells), Newbury (site = Newbury), North Sunapee Harbor (site = NorthSunapeeHarbor).

openCC (other)May 2020View details →
edi44/100

High-Frequency Water Temperature Data at Lake Lillinonah, Connecticut, USA, 2018-current

An instrumented buoy maintained by Friends of the Lake and Fairfield University has been deployed on Lake Lillinonah (Connecticut, USA) during the summer months to collect high-frequency water quality data. The buoy is deployed early each summer and remains in the lake until late October. The instrumented buoy is equipped with an RBR temperature sensor chain, collected data every meter from a depth of 0.6 meters to 14.5 meters and every two meters to a depth of 18.5. meters. Data was collected every fifteen minutes. Included in this data package are data sets containing 15-minute data as well as daily averages. Prior to the deployment of the RBR temperature sensor, the instrumented buoy was equipped with a Nexsens T-node thermistor chain (2011-2015) with sensors at different depths. These data are available in the data package EDI557. Additional high-frequency water quality data for Lake Lillinonah including dissolved oxygen, specific conductance and pigment fluorescence are available in packages EDI559 and EDI560.

openCC (other)Feb 2021View details →
edi44/100

High-frequency water quality data for water temperature, dissolved oxygen, specific conductivity, pH, phycocyanin fluorescence and chlorophyll a fluorescence at Lake Lillinonah, Connecticut, USA, 2011-2017.

From 2011 to 2017, an instrumented buoy maintained by Friends of the Lake (FOTL, friendsofthelake.org) and Fairfield University was deployed on Lake Lillinonah (Connecticut, USA) during the summer months to collect high-frequency water quality data. The buoy was deployed early each summer and remained in the lake until late October. The instrumented buoy was equipped with a YSI 6600 sonde at a depth of 1 meter. The YSI 6600 collected water temperature, dissolved oxygen, specific conductivity, pH, chlorophyll a fluorescence and phycocyanin fluorescence data. Additionally, the instrumented buoy is equipped with an In-Situ RDO sensor which collects water temperature and dissolved oxygen readings at a depth of 15 meters. Included in this data package are datasets containing 15-minute data as well as daily averages from all sensors. Following the summer of 2017, the YSI 6600 sonde was replaced with a YSI EXO2 sonde which collected data on the same variables. Data from the YSIEXO2 sonde, as well as data from the In-Situ RDO sensor during the same period, are available in the EDI data package EDI560. Additionally, the instrumented buoy at Lake Lillinonah is equipped with a water temperature thermistor chain . These data can be found in data packages EDI557 (2011-2015) and EDI558 (2018-current).

openCC (other)Aug 2020View details →
edi44/100

High-frequency water quality data for water temperature, dissolved oxygen, specific conductivity, pH, phycocyanin fluorescence and chlorophyll a fluorescence at Lake Lillinonah, Connecticut, USA, 2018-current.

Since 2011, an instrumented buoy maintained by Friends of the Lake (FOTL, friendsofthelake.org) and Fairfield University has been deployed on Lake Lillinonah (Connecticut, USA) during the summer months to collect high-frequency water quality data. The buoy is deployed early each summer and remains in the lake until late October. Since 2018, the instrumented buoy has been equipped with a YSI EXO2 sonde at a depth of 1 meter. The YSI EXO2 collects water temperature, dissolved oxygen, specific conductivity, pH, chlorophyll a fluorescence and phycocyanin fluorescence data. Additionally, the instrumented buoy is equipped with an In-Situ RDO sensor which collects water temperature and dissolved oxygen readings at a depth of 15 meters. Included in this data package are datasets containing 15-minute data as well as daily averages from both sensors from 2018 to present. Prior to 2018, the instrumented buoy was equipped with a YSI 6600 sonde, which collected data on the same variables (2011-2017). Data from the YSI 6600 sonde, as well as data from the In-Situ RDO sensor during the same period, are available in the EDI data package EDI559. Additionally, the instrumented buoy at Lake Lillinonah is equipped with a water temperature thermistor chain sensor. These data can be found in data packages EDI557 (2011-2015) and EDI558 (2018-current).

openCC (other)Aug 2020View details →
edi44/100

Temperature datasets for stock tanks and natural sites at High, Medium, and Low elevations, as part of the LTREB Swordtail project in Hidalgo, Mexico, 2015 - 2025

The core of this project focuses on monitoring the phenotypic and genotypic evolution of experimental and natural hybrid populations of swordtails for ten generations. To get a clear understanding of how evolution shapes genome wide ancestry and the distribution of species-specific alleles at functional loci during early generations of hybridization, it's important to monitor these populations using experimental crosses. Eight replicate 2000 L mesocosm stock tanks were built at high (1514 m), intermediate (980 m), and low (186 m) elevations near the CICHAZ field site were seeded with Xiphophorus birchmanni – X. malinche F1 hybrids. The F1s were generated by crossing X. malinche females with X. birchmanni malesin stock tanks at CICHAZ, a research station in Calnali, Mexico. Tanks at higher elevations experience cooler water temperatures. Our experimental design thereby allows us to characterize how ecological selection shapes genotypic and phenotypic differences in thermal tolerance across hybrid populations exposed to different temperature regimes. The data contained in these files include recorded water temperature (in Celsius), taken every six hours from three stock tanks at low (186 m: STL), medium (980 m: STM), and high (1514 m: STH) elevations, along with three natural river sites. File Natural.csv contains the natural sites and the file Stock Tanks.csv contains the corresponding natural sites. Acuapa (ACUA) is paired with STL, Aguazarca (AGZC) is paired with STM, and Tlatemaco (TLMC) is paired with STH.

openCC (other)Sep 2020View details →
edi44/100

Mirror Lake High-Frequency Dissolved Oxygen and Temperature Profiles

This lake metabolism data was collected by HOBO Temperature loggers and miniDOT loggers that were deployed at Mirror Lake Central Buoy over the deepest part of the lake (11m) on 2023-08-23. HOBO loggers were deployed vertically at depths 0.25m, 2m, and 4m, and miniDOT loggers were deployed vertically at depths 0.5m, 1m, and 6m. Sensors were tied to nylon climbing rope at these different depths and anchored to a buoy. Loggers were later removed on 2023-09-08. 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 in the White Mountains of New Hampshire, which is operated and maintained by the USDA Forest Service, Northern Research Station.

openCC (other)Jan 2026View details →
edi44/100

Seasonal high-frequency measurements of discharge, water temperature, and specific conductivity from Harnish Creek Tributary (Relict Channel) at F11, McMurdo Dry Valleys, Antarctica (1996-2020, ongoing)

As part of the Long Term Ecological Research (LTER) project in the McMurdo Dry Valleys of Antarctica, a systematic sampling program has been undertaken to monitor the glacial meltwater streams in that region. This package contains data pertaining to continuous monitored water quality and quantity parameters measured with automatic recording devices on streams in this region. Specifically, this metadata record describes the hydrology data set for the McMurdo Dry Valleys' Harnish Creek Tributary (Relict Channel) at the F11 streamgage, located in the Fryxell Basin of Taylor Valley. Measurements commenced during the 1996-97 season and are ongoing. This dataset extends through the first half of the 2019-20 field season.

openCC (other)Mar 2021View details →
edi44/100

Year 2001, 15 minute measurements of stage, water temperature, conductivity, dissolved oxygen, and pH in a small headwater stream draining a highly suburban catchment (72% residential), Saw Mill Brook, Burlington, MA.

Year 2001 continuous measurements, every 15 minutes, were made of stage, water temperature, conductivity, dissolved oxygen, and pH in a small headwater stream, Saw Mill Brook, Burlington, draining a highly suburban catchment (72% residential). Measurements are for part of the ice free season (June – December). Discharge is determined from stage using discharge vs stage regressions. Several day gaps occur periodically due to removal for recalibration.

openCustomJan 2020View details →

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dandi-nwb
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International Brain Laboratory public data

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Last verified 2026-04-29Open record