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Cr10x data logger

Manufactured by Campbell Scientific
Sourced in United States, Canada, United Kingdom

The CR10X data logger is a programmable measurement and control device designed for a variety of applications. It features a rugged construction, analog and digital input/output channels, and the ability to execute user-defined measurement and control programs. The CR10X is capable of monitoring and recording data from a wide range of sensors and devices.

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12 protocols using cr10x data logger

1

Environmental Data Collection for Forest Ecosystems

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Precipitation, temperature, and soil water content at 30 cm soil depth were collected by automatic weather stations equipped with CR10X data loggers (Campbell Scientific Corporation, Canada); these stations were installed in a forest gap within each site. We averaged hourly measurements to obtain daily time series. We filled any minor data gaps caused by short-term technical problems using the ANUSPLIN model (Hutchinson et al., 2009 (link); Hopkinson et al., 2011 (link); McKenney et al., 2011 (link)).
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2

Microenvironmental Monitoring at PHACE

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Microenvironmental conditions were continuously measured and recorded hourly at the PHACE site. Rainfall events (S-RGB-M002 Rainfall Smart Sensor; Onset Computer Co., Pocasset, MA, USA), and air relative humidity and temperature (S-THA-M002 RH/ Temperature sensor; Onset Computer Co.) were recorded using a Hobo weather station. Volumetric soil moisture content (θ v ; %) was monitored in each plot at 10, 20, 40, 60, and 80 cm depth (EnviroSMART probe; Sentek sensor Technologies, Norwood Payneham & St Peters, South Australia, Australia) and logged hourly (CR10X data loggers; Campbell Scientific, Logan UT, USA).
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3

Monitoring Forest Microclimate Conditions

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A standard weather station was installed in a forest gap close to the experimental plot of each site to measure air temperature (°C). Measurements were taken every 15 min and data were stored as hourly averages in CR10X dataloggers (Campbell Scientific Corporation, Edmonton, Canada) . Soil temperature was measured at about 1-2 m from the stem between the coils of the cables in three heated and three nonheated points per site. Measurements were taken at the same time interval as those of air temperature and stored in CR1000 dataloggers.
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4

Camelina Phenology and Yield Evaluation

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The main phenological phases of camelina were determined and are here reported for clarity according to the codes described by Martinelli and Galasso (2011) : emergence of cotyledons (BBCH 09), beginning (BBCH 62) and end of flowering (BBCH 69), and seed maturation (BBCH 89). At seed maturity, when average seed moisture was lower than 10%, three sampling areas of 10 m 2 per plot were manually harvested, excluding outer-rows, to assess harvestable crop yield. The following parameters were surveyed: seed yield (t ha -1 ), 1000 seed-weight (g), crop residues (t ha -1 ), oil content (%). Oil yield (t ha -1 ) was calculated by multiplying seed yield (t ha -1 ) by oil content (%). Harvest was carried out in both years in the last ten days of May.
Daily precipitation and average, minimum, and maximum air temperatures were recorded in each growing season through an infield meteorological station equipped with CR10X data logger (Campbell Scientific Inc., UT, USA).
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5

Geothermal Heat Pump System Performance Evaluation

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The outside and inside temperature of the control and GHP-installed pig house was measured using temperature detection sensors with a range of −20 to 80 °C ± 0.2 °C and linked with data loggers (CR10X Data Logger, Campbell Scientific, Edmonton, Canada) and integrated negative temperature coefficient thermistor as sensors. The temperature of the cold and hot water (outflow and inflow) of GHP, heating water tank (inflow and outflow), and water storage tank was measured by using a pipe temperature sensor (GPT-1000, Ginice, Korea), which contains a high-quality thermistor sensing element suitable for use in the range from −50 to 150 °C.
The COP of the GHP was calculated using Equations (1) and (2) [8 (link)].

COP=Heat absorbed kW+Power consumption (kW) Power consumption (kW)
where M = mass flow rate (kgh−1), Cp = Specific heat (Jkg−1K−1), and ΔT = inlet–outlet temperature difference (°C).
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6

Assessing Drought Effects on Soil Biogeochemistry

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Precipitation data were obtained from the Oklahoma Mesonet Station (Washington Station)48 located 200 m away from our experiment site, and 12-month version of the standardized precipitation-evapotranspiration index (SPEI-12) was used as annual drought index49 (link). Air temperature, soil temperature and volumetric soil water content were described in detail previously25 . Specifically, air temperature and soil temperature at the depth of 7.5 cm in the center of each field plot were measured by using Constantan-copper thermocouples wired to a Campbell Scientific CR10x data logger (Campbell Scientific, UT, USA). A portable time domain reflectometer (Soil Moisture Equipment Corp.) was used to measure soil moisture from the soil surface to a 15-cm depth once or twice a month. Three measurements of soil moisture were performed in each plot and the average of three technical replicates were used in further analyses.
All soil samples were analyzed to determine soil total organic carbon (TOC), total nitrogen (TN), soil nitrate (NO3) and ammonia (NH4+) by the Soil, Water, and Forage Analytical Laboratory at Oklahoma State University (Stillwater, OK, USA). Soil pH was measured using a pH meter with a calibrated combined glass electrode50 .
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7

Rainout Shelter Weather Station Setup

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In March 2008, a weather station was installed in the middle of the rainout shelter. The station consisted of a CR10X data logger (Campbell Scientific, Logan, UT, USA) to which a temperature/relative humidity sensor (CS-215, Campbell Scientific, Logan, UT, USA), a pyranometer (LI-200, LiCor Inc., Lincoln, NB, USA), a wind sensor (014, Met-One, Bend, OR, USA), and a quantum sensor (model LI-190R) to measure photosynthetically active radiation (PAR) were attached. The pyranometer and quantum sensor were mounted 3.35 m above ground level to limit shading by the rain shelter. The temperature/relative humidity sensor and anemometer were mounted 2 m above ground level. Daily reference evapotranspiration (ETo) was calculated using Campbell Scientific Application Note 4D. It calculated the full American Society of Civil Engineers (ASCE) Penman-Monteith equation with resistances [10] .
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8

Automated Weather Station for Runoff Estimation

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An automated weather station (AWS) was assembled and erected at a standard height of 1.5 m in one of the demonstration plots in Paradys (−29°09′ S, 26.84′ E). The AWS consists of a tipping bucket rain gauge, cup anemometer, wind vane, pyrometer, and combined temperature and humidity sensor. All meteorological data (rainfall, minimum and maximum temperatures, minimum and maximum relative humidity, wind speed and direction, and solar radiation) were recorded on a CR10X data logger (Campbell Scientific, USA) every 5 min and averaged over one hour for storage. The long-term climatic data (2007—to date) were collected from ARC-SCW (Agricultural Research Council of South Africa-Soil, Climate and Water). The rainfall that was recorded from the AWS during the season was collected on a 5 min rainfall amount basis. Therefore, each rain event could constitute several rainstorms and various rainfall durations, which were considered for runoff estimation. As part of farmers’ engagement, manual rain gauges were also installed on each demonstration plot, and farmers monitored and recorded rainfall amounts after the rain events.
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9

Wetland Methane Flux Measurement

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After each flux measurement was completed, soil temperature and moisture within the collar were measured at 5 cm depth using a digital thermometer (E.T.I. Ltd., West Sussex, UK) and a Theta probe (ML2, Delta‐T Devices, Cambridge, UK), respectively. In the mire and surrounding lichen heath, 30 dipwells (5 cm diameter PVC tubes) were established and water‐table depth was measured manually during each set of CH4 measurements. Additionally, weekly measurements of water‐table depth at all locations were made to permit flux modelling. Soil temperature was also monitored continuously (thermistor probe connected to a CR10x datalogger, Campbell Scientific, Leicestershire, UK) within the wetland and birch forest.
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10

Arctic Monitoring Environmental Conditions

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Weather stations were established in 1998 at the dry sites at both Barrow and Atqasuk. Readings of temperature at screen height (2 m, 107 temperature probe) and precipitation (35 cm, TE525 tipping bucket rain gage) were taken every 15 min, averaged (temperature) or summed (precipitation), and recorded every hour (CR10X datalogger; the above instruments were produced by Campbell Scientific Inc., Logan, UT). At each of the four sites, two plots were also monitored for soil moisture at 7.5 cm depth (HYD-10-A hydra probe, Stevens Vitel Hydrological and Meteorological Systems, Chantilly, VA). Voltages from the soil moisture probe were recorded every hour and were converted to water fraction by volume (WFV). The focus of the measurements was relative change between years; thus, readings were not calibrated with gravimetric methods. During times prior to the weather station establishment or instrument malfunction, readings from a nearby station were substituted (for details see Hollister et al. 2006 ).
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