Prediction of Conditions for Drying Clothes Based on Area and Temperature Data

2017 ◽  
pp. 57-69
Author(s):  
Marketa Stastna ◽  
Jan Dvorak ◽  
Ali Selamat ◽  
Ondrej Krejcar
Keyword(s):  
Temperature Data

The New Interference Test: Reservoir Connectivity Information from Downhole Temperature Data

2007 ◽  
Author(s):  
David Anthony Hutchinson ◽  
Najiya Kuramshina ◽  
Ali Chingiz Oglu Sheydayev ◽  
Simon N.J. Day
Keyword(s):  
Temperature Data ◽  
Connectivity Information ◽  
Interference Test ◽  
Downhole Temperature ◽  
Reservoir Connectivity

An Evaluation of Selected Virtual Temperature Data Acquired at the APRF in 1994.

1995 ◽  
Author(s):  
Glenn B. Hoidale ◽  
Wayne L. Flowers ◽  
Linda Parker-Sedillo
Keyword(s):  
Temperature Data ◽  
Virtual Temperature

STRUCTURING AND ANALYSIS OF TEMPERATURE DATA FROM UPPER GEYSER BASIN IN YELLOWSTONE NATIONAL PARK

2017 ◽  
Author(s):  
Barrett Flynn ◽  
◽  
Jefferson Hungerford ◽  
Jefferson Hungerford ◽  
Stanley Mordensky ◽  
...  
Keyword(s):  
Yellowstone National Park ◽  
National Park ◽  
Temperature Data

scholarly journals Spontaneous long-term and urethane induced hippocampal EEG power, activity and temperature data from mice lacking the Cav3.2 voltage-gated Ca2+ channel

Data in Brief ◽  
2021 ◽  
Vol 36 ◽  
pp. 107027
Author(s):  
Anna Papazoglou ◽  
Muhammad Imran Arshaad ◽  
Magdalena Elisabeth Siwek ◽  
Christina Henseler ◽  
Johanna Daubner ◽  
...  
Keyword(s):  
Temperature Data ◽  
Voltage Gated ◽  
Eeg Power ◽  
Hippocampal Eeg

scholarly journals On the Spatial Patterns of Urban Thermal Conditions Using Indoor and Outdoor Temperatures

2021 ◽  
Vol 13 (4) ◽  
pp. 640
Author(s):  
Sadroddin Alavipanah ◽  
Dagmar Haase ◽  
Mohsen Makki ◽  
Mir Muhammad Nizamani ◽  
Salman Qureshi
Keyword(s):  
Heat Stress ◽  
Air Temperature ◽  
Temperature Data ◽  
Cold Spot ◽  
Temperature Pattern ◽  
Outdoor Temperature ◽  
Residential Units ◽  
Urban Settlements ◽  
The Impact ◽  
Indoor And Outdoor

The changing climate has introduced new and unique challenges and threats to humans and their environment. Urban dwellers in particular have suffered from increased levels of heat stress, and the situation is predicted to continue to worsen in the future. Attention toward urban climate change adaptation has increased more than ever before, but previous studies have focused on indoor and outdoor temperature patterns separately. The objective of this research is to assess the indoor and outdoor temperature patterns of different urban settlements. Remote sensing data, together with air temperature data collected with temperature data loggers, were used to analyze land surface temperature (outdoor temperature) and air temperature (indoor temperature). A hot and cold spot analysis was performed to identify the statistically significant clusters of high and low temperature data. The results showed a distinct temperature pattern across different residential units. Districts with dense urban settlements show a warmer outdoor temperature than do more sparsely developed districts. Dense urban settlements show cooler indoor temperatures during the day and night, while newly built districts show cooler outdoor temperatures during the warm season. Understanding indoor and outdoor temperature patterns simultaneously could help to better identify districts that are vulnerable to heat stress in each city. Recognizing vulnerable districts could minimize the impact of heat stress on inhabitants.

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