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478 results for “High temperature”
CR2MET: A high-resolution precipitation and temperature dataset for the period 1960-2021 in continental Chile.
<p>The Center for Climate and Resilience Research Meteorological dataset (CR2MET) includes two spatially-distributed products of daily precipitation and maximum/minimum near surface temperatures. The dataset covers the domain of continental Chile over a regular 0.05 degree latitude-longitude grid, and spans the period 1960-2021. Both a products are built on statistical models of the corresponding variables, calibrated against quality-controlled observational records. The CR2MET models are nurtured with a combination of data that includes different variables from ECMWF reanalysis ERA5, topographic parameters and land-surface temperature estimates from the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite sensor.</p>
Dataset for: Effect of developmental temperatures on Aphidius colemani host-foraging behavior at high temperature
<p>This is the dataset for the following study; <strong>Effect of developmental temperatures on <em>Aphidius colemani</em> host-foraging behavior at high temperature.</strong></p> <p>We explored how three rearing temperatures (10, 20, and 28°C) affected host-foraging behaviors and associated traits under warm conditions in the insect parasitoid <em>Aphidius colemani.</em></p>
Data used in the article "High-Q magnetic levitation and control of superconducting microspheres at millikelvin temperatures"
<p>Data used in the article "High-Q magnetic levitation and control of superconducting microspheres at millikelvin temperatures".</p>
Crystal Structure Solution and High Temperature Thermal Expansions of NaZr2(PO4)3-type Materials
<p>The NaZr<sub>2</sub>P<sub>3</sub>O<sub>12 </sub>(NZP) family<sub> </sub>of materials have shown low and tailorable thermal expansion properties. This dataset includes SrZr<sub>4</sub>P<sub>6</sub>O<sub>24</sub>, CaZr<sub>4</sub>P<sub>6</sub>O<sub>24</sub>, NaTi<sub>2</sub>P<sub>3</sub>O<sub>12</sub>, NaZr<sub>2</sub>P<sub>3</sub>O<sub>12</sub>, MgZr<sub>4</sub>P<sub>6</sub>O<sub>24</sub>, and related solid solutions. These materials were synthesized using the organic-inorganic steric entrapment method. The samples were characterized with in-situ high-temperature x-ray diffraction at the Advanced Photon Source and National Synchrotron Light Source II from 25 to 1500 ℃. The average linear thermal expansion of SrZr<sub>4</sub>P<sub>6</sub>O<sub>24</sub> and CaZr<sub>4</sub>P<sub>6</sub>O<sub>24</sub> was between -1 x10<sup>-6</sup>/℃ and 6 x10<sup>-6</sup>/℃ from 25 to 1500 ℃. High temperature polymorphs of CaZr<sub>4</sub>P<sub>6</sub>O<sub>24</sub> and SrZr<sub>4</sub>P<sub>6</sub>O<sub>24</sub> were solved by Fourier difference mapping and Rietveld refinement. This polymorph is present above about 1250 ℃. This work measured thermal expansion coefficients to 1500 ℃ for all samples and investigated the differences in thermal expansion mechanisms between polymorphs and between compositions. </p>
Flow cytometry data for "Vitamin B12 conveys a protective advantage to phycosphere-associated bacteria at high temperatures"
<p>More details—including the analysis pipeline—are available in the GitHub repository: <a href="http://github.com/maggimars/bactB12">https://github.com/maggimars/bactB12</a>. </p> <p>Direct link to analysis pipeline interactive document: <a href="https://maggimars.github.io/bactB12/Flow_Cytometry_Analysis.html">https://maggimars.github.io/bactB12/Flow_Cytometry_Analysis.html</a></p> <p> </p> <p> </p>
High-Temperature Electrothermal Remediation of Multi-Pollutants in Soil
<p>Source data for our publication entitled "High-Temperature Electrothermal Remediation of Multi-Pollutants in Soil"</p>
High-temperature stress induces bacteria-specific adverse and reversible effects on Ulva (Chlorophyta) growth and its chemosphere in a reductionist model system
<p>This dataset contains raw files from a mass spectrometric analysis of the exo-metabolome of the green macroalga <em>Ulva mutabilis</em> (Chlorophyta).</p>
Dataset - Biomass Steam Gasification, High-Temperature Gas Cleaning, and SOFC Model: A Parametric Analysis
<p>Dateset of the Article "Biomass Steam Gasification, High-Temperature Gas Cleaning, and SOFC Model: A Parametric Analysis".</p> <p>Effect of S/B ratio on syngas; Effect of the S/B ratio on electrical efficiency; Effect of the S/B ratio on current density; Effect of the current density on cell voltage; Effect of the current density on power density; Effect of the current density on electrical efficiency; Influce of CO concentration on SOFC power production; Influce of the air flow rate to the cathode on SOFC power production.</p> <p>Gasification technology is actually one of the most effective ways to produce power and hydrogen from biomass. Solid oxide fuel cells (SOFCs) have proved to be an excellent energy conversion device. They can transform the chemical energy content in the syngas, produced by a gasifier, directly into electrical energy. A steady-state model of a biomass-SOFC was developed using process simulation software, ASPEN Plus (10, AspenTech, Bedford, MA, USA). The objective of this work was to implement a biomass-SOFC system capable of predicting performance under diverse operating conditions. The system is made of a gasification zone, gas cleaning steps, and SOFC. The SOFC modelling was done without external subroutines, unlike most models in the literature, using only the existing ASPEN Plus blocks, making the model simpler and more reliable. The analysis of the syngas composition out of each cleaning step is in accordance with literature data. Then, a sensitivity analysis was carried out on the main parameters. The results indicate that there must be a trade-off between voltage, electrical efficiency, and power with respect to current density and it is preferable to stay at a low steam-to-biomass ratio. The electrical efficiency achieved under the operating conditions is 57%, a high value, making these systems very attractive.</p> <p><a href="https://doi.org/10.3390/en13225936">https://doi.org/10.3390/en13225936</a></p>
Data from: The duration of high spring light for understory plants: contrasting responses to spatial and temporal temperature variation
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High temperatures reduce growth, infection, and transmission of a naturally occurring fungal plant pathogen
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Data from: Long-term, high frequency in situ measurements of intertidal mussel bed temperatures using biomimetic sensors
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Data for: Tolerance of high temperature and associated effects on reproduction in euedaphic Collembola
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High temperatures are associated with decreased immune system performance in a wild primate
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Synergistic negative effects between a fungicide and high temperatures on homing behaviours in honey bees
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Data from: High temperatures and low soil moisture synergistically reduce switchgrass yields from marginal field sites and inhibit fermentation
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Effect of Nd on high temperatures deformation and corrosion behavior of AZE Mg alloy
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Big Spirit Lake Monitoring Buoy: High Frequency Oxygen, Temperature, Water Quality and Weather Data 2020-2021
High frequency weather and limnological data from the Big Spirit Lake monitoring buoy, Iowa, USA, from 2020 - 2021. The Big Spirit Lake (Global Lake Ecological Observatory Network—GLEON) instrumented monitoring buoy is operated by the Iowa Lakeside Laboratory (https://iowalakesidelab.org/). The buoy is equipped with a thermistor chain and dissolved oxygen probes the measure every meter from 1m to 6m in depth, a multi-parameter sonde at 1 meter depth, as well as a weather station and wave sensor (added in 2021) situated on the buoy. All data in this data package have been QAQC'd to remove obviously errant readings, highly suspicious readings, and artifacts of buoy maintenance. Because of this, as well as sensor errors and failure, not all data is available at every point each year. Measured parameters in the data set include water temperature, dissolved oxygen concentration, and dissolved oxygen saturation (measured every meter from 1m to 6m). Other measured parameters include pH, specific conductivity, chlorophyll, and blue-green algae in the surface water, as well as weather station data and wave sensor data. Sampling Frequency: Parameters are measured at 10 minute intervals, and most years include measurements from mid/late May through October.
West Okoboji Lake Monitoring Buoy: High Frequency Oxygen, Temperature, Water Quality and Weather Data 2015-2021
High frequency weather and limnological data from the West Okoboji Lake monitoring buoy, Iowa, USA, from 2015 - 2021. The West Okoboji Lake (Global Lake Ecological Observatory Network—GLEON) instrumented monitoring buoy is operated by the Iowa Lakeside Laboratory (https://iowalakesidelab.org/). The buoy is equipped with a thermistor chain and dissolved oxygen probes the measure every 2 meters from 1m to 25m in depth, a multi-parameter sonde at 1 meter depth, as well as a weather station situated on the buoy. All data in this data package have been QAQC'd to remove obviously errant readings, highly suspicious readings, and artifacts of buoy maintenance. Because of this, as well as sensor errors and failure, not all data is available at every point each year. Measured parameters in the data set include water temperature, dissolved oxygen concentration, and dissolved oxygen saturation (measured every 2 meters from 1m to 25m). Other measured parameters include pH and specific conductive in the surface water, as well as weather station data including wind, rain, air temperature and humidity. Sampling Frequency: Parameters are measured at 10 minute intervals, and most years include measurements from mid/late May through October. Measurements were stopped in the fall once the lake had turned over.
High-frequency time series of stage height, stream discharge, and water quality (specific conductivity, dissolved oxygen, pH, temperature, turbidity) for Stroubles Creek in Blacksburg, Virginia, USA 2013-2018
A pressure transducer (CS450, Campbell Scientific Inc., Logan, UT, USA) and a multi-parameter water quality sonde (YSI Series 6:6920 v2, YSI Inc., Yellow Springs, OH, USA) were deployed by the Virginia Tech Biological Systems Engineering (BSE) Stream Research, Education, and Management (StREAM) Lab (vtstreamlab.weebly.com/) from January 2013 to December 2018 to assess stage and water quality, and calculate discharge in Stroubles Creek, Blacksburg, VA (4118326.215 N, 549236.02 W). Stroubles Creek is a 19 km tributary of the New River in Blacksburg, Virginia, USA. Stroubles Creek begins immediately below the Virginia Tech campus and flows north into the Kanawha River in the Valley and Ridge physiographic province. Stroubles Creek was a historic water supply for the town of Blacksburg and remains a highly visible waterway in the town, as it traverses both the downtown area and much of the Virginia Tech campus. In 2002, Stroubles Creek was placed on Virginia’s 303(d) list of impaired water bodies with a benthic impairment by the Virginia Department of Environmental Quality (VADEQ). A total maximum daily load (TMDL) plan was subsequently developed in 2003 for the stream in collaboration with Virginia Tech’s BSE department, the Virginia Department of Environmental Quality, and the Virginia Department of Conservation and Recreation. During 2008-2010, a 2.1 km reach of Stroubles Creek, mostly upstream of the StREAM Lab, was restored by means of cattle exclusion, natural revegetation, bank reshaping, and creating an inset floodplain. The water quality dataset provided here is associated with the upper Stroubles Creek watershed which drains approximately 14.5 km2. Currently, data from the StREAM Lab are used by 8-10 faculty and their graduate students in 7 departments across 5 colleges at Virginia Tech for research and at least 16 classes for field labs and/or assignments.
Seeing the light: high temporal frequency (5-10min resolution) measurements of dissolved oxygen, photosynthetically active radiation, temperature, and depth used to estimate metabolism in restored and unrestored Baltimore streams.
The continually increasing global population residing in urban landscapes impacts numerous ecosystem functions and services provided by urban streams. Urban stream restoration is often employed to offset these impacts and conserve or enhance the various functions and services these streams provide. Despite the assumption that ‘if you build it, [the function] will come’, current understanding of the effects of urban stream restoration on stream ecosystem functions are based on short term studies which may not capture variation in restoration effectiveness over time. We quantified the impact of stream restoration on nutrient and energy dynamics of urban streams by studying 10 urban stream reaches (five restored, five unrestored) in the Baltimore, Maryland, USA, region over a two-year period. We measured gross primary production (GPP) and ecosystem respiration (ER) at the whole-stream scale continuously throughout the study and nitrate (NO3-N) spiraling rates seasonally (spring, summer, autumn) across all reaches. There was no significant restoration effect on NO3-N spiraling across reaches. However, there was a significant canopy cover effect on NO3-N spiraling, and directly comparing paired sets of unrestored-restored reaches showed that restoration does affect NO3-N spiraling after accounting for other environmental variation. Furthermore, there was a change in GPP:ER seasonality, with restored and open-canopied reaches exhibiting higher GPP:ER during summer. The restoration effect, though, appears contingent upon altered canopy cover, which is likely to be a temporary effect of restoration and is a driver of multiple ecosystem services, e.g., habitat, riparian nutrient processing. Our results suggest that decision-making about stream restoration, including evaluations of nutrient benefits, clearly needs to consider spatial and temporal dynamics of canopy cover and tradeoffs among multiple ecosystem services. Here we provide the raw dissolved oxygen, temperature, li
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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)
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.