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11 results for “barometric pressure”
Marcell Experimental Forest 30-minute air temperature, relative humidity, and barometric pressure, 2015 - ongoing
This data publication contains air temperature, relative humidity, and atmospheric pressure data collected at 30-minute resolution from 2015-ongoing at three long term meteorological monitoring stations at the Marcell Experimental Forest (MEF). The MEF is located in Itasca County, Minnesota and is operated and maintained by the USDA Forest Service, Northern Research Station.
Bonanza Creek LTER: Hourly Barometric Pressure Measurements from 1995 to Present in the Bonanza Creek Experimental Forest near Fairbanks, Alaska
A Campbell Scientific data logger and pressure sensor were used to measure barometric pressure at the LTER1 meteorological station in the Bonanza Creek Experimental Forest (BCEF) beginning in 1995.
Bonanza Creek LTER: Hourly Barometric Pressure Measurements from 2000 to Present in the Caribou-Poker Creeks Research Watershed near Fairbanks, Alaska
A Campbell Scientific data logger and pressure sensor were used to measure barometric pressure at the CRREL meteorological station in the Caribou-Poker Creeks Research Watershed (CPCRW) beginning in 2000.
Hubbard Brook Experimental Forest: 15 Minute Barometric Pressure Measurements, 2018 – present
Barometric pressure has been measured at 15-minute intervals at the Headquarters Station at the Hubbard Brook Experimental Forest since 2018. These data are gathered at the Hubbard Brook Experimental Forest in Woodstock, NH, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Analysis of acoustic index against temperature and barometric pressure
<p>1. New low-cost options to long-term acoustic monitoring in terrestrial ecology are becoming increasingly available. However, integration of acoustic stations with sensors for logging of additional data, such as temperature and barometric pressure is rare. Separate environmental loggers often come at a cost of > US$100 whereas the same sensors for use with microprocessors come at a cost between US$. 1-15 The cost savings integration entails as well as the crucial need for the recording of some of these variables in acoustic studies mean that this is an important development avenue.</p> <p>2. Overcoming these issues is important to enable insights into the long-term dynamics of ecological systems and how they respond to changes in the environment at varying temporal scales and is especially important for studies involving species that are microclimate dependent.</p> <p>3. Here we present a hardware system for both acoustic and environmental data logging where the board design is released under a creative commons license. The system has been field tested in a tropical setting and is called the Kinabalu Recorder. The presented configuration came at a cost of less than US$100 per station. This cost is for professional manufacture and assembly of the boards, temperature and barometric sensor, two batteries, water-proof housing and two 64 GB micro SD cards.</p> <p>4. The system has been extensively tested in a tropical setting along an altitude gradient and with over 1.3 TB of data (> 2,000 hours of data with over 10 months in the field) presents a robust solution to long term acoustic monitoring integrated with environmental data sensors.</p> <p>5. Work on hardware and software systems are an important part of the technological development of field biology as it allows greater flexibility in terms of cost and configuration of systems whilst promoting cross-field collaboration and information flow.</p>
Analysis of acoustic index against temperature and barometric pressure
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Supporting data of "Temperature and barometric pressure affect the activity intensity and movement of an endangered thermoconforming lizard"
<p>JOURNAL PUBLICATION CITATION: Daniel Ariano-Sánchez, Rasmus M. Mortensen, Rory P. Wilson, Peder Bjureke, Stefanie Reinhardt and Frank Rosell. Temperature and barometric pressure affect the activity intensity and movement of an endangered thermoconforming lizard. <em>Ecosphere.</em></p> <p><em>------------</em></p> <p>Raw data in RDS format and R codes of movement paths and step-selection function analyses</p> <p>-------------</p> <p>CleanDBALMM.R – R script of the LMM for VeDBA from obtained from the daily diaries in the backpack system.</p> <p>CleanGPSHeloderma.R – R script for calculation of step-lengths, bearings and turning angles from the GPS data of the Guatemalan Beaded Lizards tracked, including the LMM and circular-linear regressions.</p> <p>CleanSSF.R – R script of the step-selection functions.</p> <p>DBAHeloderma.rds – Raw data of the Guatemalan Beaded Lizard movement obtained from the daily diaries in the backpack system.</p> <p>GPSData.rds - Raw data of the Guatemalan Beaded Lizard movement obtained from GPS tags.</p> <p>ssf3.rds – Dataset for the step-section functions.</p>
Borehole pressure and temperature data, barometric pressure and temperature data, solid Earth tidal strain, for OmanDP site BA1, 4/18 to 1/19
<p>Borehole (relative) pressure and temperature data for OmanDP site BA1: holes BA1B and BA1D from 4/18 to 1/19.</p> <p>Barometric pressure and temperature data for OmanDP site BA1 from 4/18 to 1/19.</p> <p>Earth tidal strain for the OmanDP site BA1: estimates from PyGTide software from 4/18 to 9/20.</p>
Long term records of barometric pressure and fluid pressure from boreholes of STIMTEC and STIMTEC-X
<p>Long term records of barometric pressure and fluid pressure from boreholes in Reiche Zeche (Freiberg, Germany) during the projects STIMTEC and STIMTEC-X</p>
Barometric Pressure near Nickawampus Creek, Virginia 2002-2009
This dataset contains barometric pressure in cm of mercury as measured by a Solinst Levelogger suspended in the air above the water surface in a well. The primary focus of the dataset is for providing atmospheric correction for other Leveloggers used to measure stream stage.
Figure S2: All 6 Barometric Pressure Spikes from HTHH 2022 as Seen in Mayagüez, Puerto Rico
<p>High-pass filtered sea level data from the Mayagüez, Puerto Rico station (IOC ID: maya). The red dashed lines indicate the arrival of each spike in barometric pressure (recorded from a co-located barometer station). The green line marks the eruption time of the January 2022 Hunga Tonga-Hunga Ha'apai eruption, while the yellow line indicates the estimated tsunami arrival time from the Hunga Tonga-Hunga Ha'apai volcano assuming a water-column displacement (contrary to the observed air-sea coupling).</p>
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