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4 results for “SMEAR II”
Raw Particle Number Size-Distribution Data of twin-DMPS equipped with two CPCs for nanoparticle detection for SMEAR II station, Hyytiälä, Finland, Spring 2017
<p>Raw size-Distribution data from twin-DMPS system (Aalto et al., 2001), where the nano-DMA (measuring up to 40 nm, short Hauke type DMA) is quipped with two detectors:<br> a TSI 3776 and a modified Airmodus A20 (Kangasluoma et al., 2015)</p> <p>Data acquired during in March-May 2017 at the SMEAR II station in Hyytiälä, Finland.<br> Data associated with the publication Stolzenburg, Laurila et al. (2023), Atmos. Meas. Techn., "Improved counting statistics of an ultrafine differential mobility particle size spectrometer system"</p> <p>Files DMYYDDMM_A20.Dat contain the raw DMPS data, with YYMMDD indicating the day of the measurement.<br> Data are provided alternating between data acquired with the nano-DMA and with the long-DMA, on a scan by scan basis.<br> First line of each scan cycle (for both DMAs) always indicates the start and end times of the voltage scan.<br> Second line gives the parameters related to the DMPS as given below:<br> (sheath flow in [l per min], aerosol flow in [l per min], DMA inner electrode diameter in [m], DMA outer electrode diameter in [m], DMA classification length in [m], other parameters)<br> Following lines give<br> (for long-DMA): set voltage at DMA [in V], concentration measured by TSI3772 in [per cm3]<br> (for nano_DMA): et voltage at DMA [in V], concentration measured by TSI 3776 in [per cm3], concentration measured by mod. Airmodus A20 in [per cm3]</p> <p>File dmps_data_format_specifier.text gives a conversion from voltage to diameter and indicates the measurement time at each voltage during the stepping of the DMPS.<br> Needs to be used to convert measured concentrations in counts per set-interval.</p> <p>Files GR_J_overview.xlsx gives size-distribution derived quantities during that campaign.<br> Header defines Date, Growth Rate and Formation Rate measured at different sizes [in nm] and by the two different CPCs connected to the nano-DMA.<br> Growth rates in [nm per h], formation rate in [per cm3 per s].</p> <p>Other data related to the campaign can be obtained from the corresponding author upon reasonable request.<br> juha.kangasluoma@helsinki.fi</p> <p>References:</p> <p>Stolzenburg, Laurila et al. "Improved counting statistics of an ultrafine differential mobility particle size spectrometer system",<br> Atmos. Meas. Techn., in press, 2023</p> <p>Aalto et al., "Physical characterization of aerosol particles during nucleation events",<br> Tellus B, vol. 53, pp. 344-358, 2001</p> <p>Kangasluoma et al., "Sub-3 nm Particle Detection with Commercial TSI 3772 and Airmodus A20 Fine Condensation Particle Counters",<br> Aerosol Sci. Techn., vol. 49, pp. 674-681, 2015</p>
Hyytiälä SMEAR II site characteristics
<p>This dataset contains description of site history and the essential characteristics of the forest stand surrounding SMEAR II research station located in Hyytiälä, Finland. The original tree inventory and increment core data are also provided.</p> <p>The dataset consists of following files:</p> <p>1. Description of site history and essential stand and soil characteristics (Hyytiala site description.pdf)</p> <p>2. Stand characteristics, tree biomasses and leaf area index calculated for all biomass inventory plots and for ICOS target stand (Hyytiala stand characteristics.xlsx)</p> <p>3. Table (line_plots.csv) that indicates which biomass sample plots are<br> a) located in the area that was burned in 1962<br> b) thinned in 2002<br> c) inside ICOS target stand</p> <p>4. Cleaned-up tree-wise inventory data collected at the line sampling plots in 2001, 2008, 2012 and 2015 (Biomass inventories.xlsx)</p> <p>5. Cleaned-up core drilling data collected at the line sampling plots in 2012, 2014 and 2016 for pine growth calculations (Core Drilling YYYY.txt, Core Drilling readme.txt)</p>
Hyytiälä SMEAR II forest year 2020 thinning tree and carbon inventory data
<p>This dataset contains description of thinning, and forest and carbon stock inventory results of the forest stand surrounding SMEAR II research station located in Hyytiälä, Finland.</p> <p>The dataset consists of following files:</p> <p>1. Description of thinning and inventory methods (Hyytiala site description.pdf)</p> <p>2. Forest characteristics before and after the thinning, by measurement plot (Forest characteristics.xlsx)</p> <p>3. Carbon stocks before and after the thinning, as well as carbon stocks in commercial removal, by measurement plot (Carbon stocks.xlsx)</p> <p>4. Equations used for procuding estimates presented in products 2&3 (Equations.xlsx)</p> <p>5. Readme-file explaining details regarding variants in products 2&3 (Readme.xlsx)</p> <p>6. Plot map showing the locations of measurement plots (Plot map.xlsx)</p> <p>7. Tree size distribution before and after the thinning (Tree size distribution.xlsx)</p> <p>8. Cleaned tree-wise inventory data (Plot measurement data 2020.xlsx) from</p> <ul> <li> 2019 understorey measurement results</li> <li> 2020 measurement results</li> <li> Plot 1-24 detailed inventory measurement results</li> </ul>
Flat-bed scanner images and daily growth of Scots pine (Pinus sylvestris L.) roots data in SMEAR II Hyytiälä
<p>This zip-file contains</p> <p>(1) the daily root scanner images of three flat-bed scanners during the growing season of 2018 in SMEAR II, Hyytiälä. </p> <p>The images were brightness adjusted by the Authors. The images were taken between 25.04.2018-01.10.2018. The missing images for scanner 2 due to connection errors: 27.05-28.05.2018 and 04.08.2018. Missing dates for scanner 3: 29.08-02.09.2018 and 14.10.2018.</p> <p>(2) daily_root_growth<br> We used 'Winrhizotron 2015a' software to analyze the daily root elongation data, divided by pioneer and fibrous roots, including daily active root number, and average daily elongation rate</p> <p>(3) CASSIA_root<br> We estimated the growth phenology of aboveground tree organs, such as shoots, needles, buds and secondary xylem using the ‘Carbon Allocation Sink Source Interaction’ (CASSIA) model (Schiestl-Aalto et al. 2015). Simulated aboveground organs' data and our root data were combined in the same dataset.</p> <p>(4) surface_area<br> Root surface area increase rate ( analyzed by 'Winrhizotron 2015a' software), divided by pioneer and fibrous roots</p> <p> </p>
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