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  • Open Access English
    Authors: 
    Sinnemäki, Kaius; Ahola, Noora;
    Publisher: Zenodo
    Project: EC | GramAdapt (805371), AKA | Nominal categories and th... (296212)

    This material contains the dataset and the R-scripts from the gitlab repository of the following article. Please cite the article when using the data. Sinnemäki, Kaius 2020. Linguistic system and sociolinguistic environment as competing factors in linguistic variation: A typological approach. Journal of Historical Sociolinguistics 6(2): 20190101. https://doi.org/10.1515/jhsl-2019-1010

  • Open Access English
    Authors: 
    Happonen, Konsta; Lauralotta Muurinen; Virtanen, Risto; Kaakinen, Eero; Parisot, Philippe; Wolff, Matias; Maliniemi, Tuija;
    Publisher: Zenodo
    Project: AKA | Decadal time scale vegeta... (259072)

    Data and code for the paper 'Trait-based responses to forestry and reindeer husbandry modify long-term changes in forest understories' See the preprint. The R markdown document (containing R code) docs/new_figures.Rmd can be used to reproduce all figures and modelling results of the paper. The models themselves are described and fitted in the R markdown document spatial_confounds.Rmd. Among other variables, this repository contains ready-calculated community characteristics (results/clean_data/data_for_analyses/kaik.csv: species richness, Shannon diversity, species evenness, height, LDMC, SLA) and their temporal changes along with temporal Jaccard distance between 1968–1975 and 2013–2019 (results/clean_data/data_for_analyses/erot.csv) for 245 5 m x 5 m plots of field-layer vegetation. Information is also included on tree-layer SLA and canopy cover for 10 m x 10 m plots directly above them. Each plot also has information on reindeer densities in their reindeer herding district, and on the level of management intensity. For more information, see the paper. Original community and trait data and are not included to avoid data duplication. Community data are available upon request, and will be submitted to an open repository at a later date. Original trait data are from TRY and LEDA, supplemented with our own measurements, references to trait sources are listed in docs/trait_references.txt. Climate data are from TerraClimate. ## References Abatzoglou, John T., Solomon Z. Dobrowski, Sean A. Parks, and Katherine C. Hegewisch. 2018. “TerraClimate, a High-Resolution Global Dataset of Monthly Climate and Climatic Water Balance from 1958-2015.” Scientific Data 5 (January): 170191. Kattge, Jens, S. Díaz, S. Lavorel, I. C. Prentice, P. Leadley, G. Bönisch, E. Garnier, et al. 2011. “TRY - a Global Database of Plant Traits.” Global Change Biology 17 (9): 2905–35. Kleyer, M., R. M. Bekker, I. C. Knevel, J. P. Bakker, K. Thompson, M. Sonnenschein, P. Poschlod, et al. 2008. “The LEDA Traitbase: A Database of Life-History Traits of the Northwest European Flora.” The Journal of Ecology 96 (6): 1266–74.

  • Open Access English
    Authors: 
    Lenz, Robin; Enders, Kristina; Fischer, Franziska; Brandt, Josef; Fischer, Dieter; Labrenz, Matthias;
    Publisher: Zenodo
    Project: EC | BONUS (271534)

    Funding of this study was received from the project MicroCatch_balt (German Federal Ministry of Education and Research (BMBF), grant number 03F0788A) and the BONUS project Micropoll (funded jointly by the European Union and the BMBF, grant number 03F0775A). Spectroscopic data measured on untreated and treated microplastic particles using Raman and FTIR microspectroscopy. All details on methods of measurements are described in the main manuscript.

  • Open Access English
    Authors: 
    Konsta Happonen; Lauralotta Muurinen; Risto Virtanen; Eero Kaakinen; Philippe Parisot; Matias Wolff; Tuija Maliniemi;
    Publisher: Zenodo
    Project: AKA | Decadal time scale vegeta... (259072)

    Data and code for the paper 'Trait-based responses to forestry and reindeer husbandry modify long-term changes in forest understories' See the preprint. The R markdown document (containing R code) docs/new_figures.Rmd can be used to reproduce all figures and modelling results of the paper. The models themselves are described and fitted in the R markdown document spatial_confounds.Rmd. Among other variables, this repository contains ready-calculated community characteristics (results/clean_data/data_for_analyses/kaik.csv: species richness, Shannon diversity, species evenness, height, LDMC, SLA) and their temporal changes along with temporal Jaccard distance between 1968–1975 and 2013–2019 (results/clean_data/data_for_analyses/erot.csv) for 245 5 m x 5 m plots of field-layer vegetation. Information is also included on tree-layer SLA and canopy cover for 10 m x 10 m plots directly above them. Each plot also has information on reindeer densities in their reindeer herding district, and on the level of management intensity. For more information, see the paper. Original community amd trait data and are not included to avoid data duplication. Community data are available upon request, and will be submitted to an open repository at a later date. Original trait data are from TRY and LEDA, supplemented with our own measurements, references to trait sources are listed in docs/trait_references.txt. Climate data are from TerraClimate. ## References Abatzoglou, John T., Solomon Z. Dobrowski, Sean A. Parks, and Katherine C. Hegewisch. 2018. “TerraClimate, a High-Resolution Global Dataset of Monthly Climate and Climatic Water Balance from 1958-2015.” Scientific Data 5 (January): 170191. Kattge, Jens, S. Díaz, S. Lavorel, I. C. Prentice, P. Leadley, G. Bönisch, E. Garnier, et al. 2011. “TRY - a Global Database of Plant Traits.” Global Change Biology 17 (9): 2905–35. Kleyer, M., R. M. Bekker, I. C. Knevel, J. P. Bakker, K. Thompson, M. Sonnenschein, P. Poschlod, et al. 2008. “The LEDA Traitbase: A Database of Life-History Traits of the Northwest European Flora.” The Journal of Ecology 96 (6): 1266–74.

  • Open Access English
    Authors: 
    Geet Raju; Kyriakopoulos, Nikos; Timonen, Jaakko V I;
    Publisher: Zenodo
    Project: AKA | Controlling and Probing D... (316219), EC | InterActive (803937)

    Raw data (microscopy videos and image sequences) and scripts used for the analysis for the publication "Diversity of Non-Equilibrium Patterns and Emergence of Activity in Confined Electrohydrodynamically Driven Liquids", Science Advances 7 (38), eabh1642

  • Open Access English
    Authors: 
    Treat, Claire C; Jones, Miriam C; Camill, Philip; Gallego-Sala, Angela V; Garneau, Michelle; Harden, Jennifer W; Hugelius, Gustaf; Klein, Eric S; Kokfelt, Ulla; Kuhry, Peter; +9 more
    Publisher: PANGAEA - Data Publisher for Earth & Environmental Science
    Project: AKA | Mire diversity and functi... (131409)

    Permafrost dynamics play an important role in high-latitude peatland carbon balance and are key to understanding the future response of soil carbon stocks. Permafrost aggradation can control the magnitude of the carbon feedback in peatlands through effects on peat properties. We compiled peatland plant macrofossil records for the northern permafrost zone (515 cores from 280 sites) and classified samples by vegetation type and environmental class (fen, bog, tundra and boreal permafrost, thawed permafrost). We examined differences in peat properties (bulk density, carbon (C), nitrogen (N) and organic matter content, C/N ratio) and C accumulation rates among vegetation types and environmental classes.

  • Open Access English
    Authors: 
    Batenburg, Anneke M; Popa, M Elena; Vermeulen, Alexander T; Van den Bulk, Willem CM; Jongejan, Piet AC; Fisher, Rebecca E; Lowry, David; Nisbet, Euan G; Röckmann, Thomas;
    Publisher: PANGAEA - Data Publisher for Earth & Environmental Science
    Project: AKA | ‘Centre of Excellence in ... (272041), EC | EXCATRO (321040), AKA | Secondary organic aerosol... (259005), NWO | The impact of a future hy... (2300138501)

    Measurements of the stable isotopic composition (dD(H2) or dD) of atmospheric molecular hydrogen (H2) are a useful addition to mixing ratio (X(H2)) measurements for understanding the atmospheric H2 cycle. dD datasets published so far consist mostly of observations at background locations. We complement these with observations from the Cabauw tall tower at the CESAR site, situated in a densely populated region of the Netherlands. Our measurements show a large anthropogenic influence on the local H2 cycle, with frequently occurring pollution events that are characterized by X(H2) values that reach up to 1 ppm and low dD values. An isotopic source signature analysis yields an apparent source signature below -400 per mil, which is much more D-depleted than the fossil fuel combustion source signature commonly used in H2 budget studies. Two diurnal cycles that were sampled at a suburban site near London also show a more D-depleted source signature (-340 per mil), though not as extremely depleted as at Cabauw. The source signature of the Northwest European vehicle fleet may have shifted to somewhat lower values due to changes in vehicle technology and driving conditions. Even so, the surprisingly depleted apparent source signature at Cabauw requires additional explanation; microbial H2 production seems the most likely cause. The Cabauw tower site also allowed us to sample vertical profiles. We found no decrease in (H2) at lower sampling levels (20 and 60m) with respect to higher sampling levels (120 and 200m). There was a significant shift to lower median dD values at the lower levels. This confirms the limited role of soil uptake around Cabauw, and again points to microbial H2 production during an extended growing season, as well as to possible differences in average fossil fuel combustion source signature between the different footprint areas of the sampling levels. So, although knowledge of the background cycle of H2 has improved over the last decade, surprising features come to light when a non-background location is studied, revealing remaining gaps in our understanding. Please cite the original AtmosEnv article (doi:10.1016/j.atmosenv.2016.09.058) when using these data.The paper also contains more information about how these data were collected and calibrated, and on how the quality control flags were assigned.All samples were collected at the Cabauw tower, at the CESAR site (51.971° N, 4.927° E, http://www.cesar-observatory.nl/). H2 and deltaD(H2) are calibrated using one to four laboratory reference air cylinders, depending on measurement period. The H2 mixing ratio of the reference cylinders was determined by UHEI-IUP, MPI-BGC, or the IMAU isotope laboratory. The deltaD(H2) of the reference cylinders is, sometimes indirectly, linked to the VSMOW scale by measurements of air mixtures containing H2 standards of known isotopic composition.H2 scale: MPI2009, Jordan and Steinberg, AMT, 2011, doi:10.5194/amt-4-509-2011deltaD(H2) units: permil deviation from VSMOW, Gonfiantini et al., IAEA-TECDOC-825, IAEA

  • Research data . 2011
    Open Access English
    Authors: 
    Pxe4ivi Peltomxe4ki; Ralf Bxfctzow;
    Project: EC | EPISUSCEPTIBILITY (232635)
  • Open Access English
    Authors: 
    Vähä-Savo, Lauri; Heino, Mikko; Haneda, Katsuyuki; Icheln, Clemens; Hazmi, Ali; Tian, Ruiyuan;
    Publisher: Zenodo
    Project: AKA | Massive MIMO: Advanced An... (288670)

    The purpose of this dataset is to supplement the data presented in our journal publication " Empirical Evaluation of a 28 GHz Antenna Array on a 5G Mobile Phone Using a Body Phantom " (see https://ieeexplore.ieee.org/document/9424391). This dataset contains the 3-D surface meshes of the numerical human body model and of the human body styrofoam phantom used in the above publication. The numerical human body model in the file numerical_human_body_model.stp was initially exported from MakeHuman (http://www.makehumancommunity.org), the actual body posture was then created with Blender 3D Creation Suite (https://www.blender.org), and this final body model was exported in .STP format. This .STP file was then imported into CST Studio Suite (http://www.cst.com) in order to simulate the 3-D realized-gain patterns of the mobile-phone antenna placed in the hand of the human body model. The dimensions of the in-house hexagonal human-body phantom used in the measurements is provided in the file styrofoam_structure_ hexagonal_body_phantom.stp, which describes the Styrofoam support structure of the hexagonal human body phantom without the skin material layer that is to be added for measurements. The material properties of the numerical human body model used in the simulations as well as of the skin material used in the measurements are described in detail in the above publication. Also, the design of the dual-polarized mobile-phone antenna-array with eight vertical feed ports and eight horizontal feed ports is described in detail within the above publication (see Fig. 4 - 6) and is not part of this dataset. This dataset also contains the 3-D polarimetric, directional, complex-valued (real, imaginary) realized-gain patterns simulated and measured in free space, as well as simulated with a numerical human model and measured with the body phantom, all at 28 GHz. The simulated patterns are given in 1-degree resolution in both phi and theta angles. Whereas measured patterns with the body phantom are given in 1-degree resolution in theta angle and 10-degree resolution in phi angle. The patterns are separately given for each of the sixteen antenna ports, where eight are vertically polarized ("Vpol") and eight are horizontal polarized ("Hpol"). Port order and types are described in detail within the above publication. The 2-D pattern cuts presented in the above publication (in Fig. 8) are subsets of the 3-D patterns in this dataset. The de-embedding of the feed lines and connector losses, which is explained in the paper, was not applied for these (measured) datasets. For convenience the 80 ASCII realized-gain patterns files are divided into five separate subsets (.zip files) which are: - Measurement_freeSpace - Measurement-1_phantom - Measurement-2_phantom - Simulated_freeSpace - Simulated_numericalHuman The format of the 16 ASCII files per .zip file {e.g. Measurement_freeSpace_port1_Vpol.txt } is a follows: 1st column: Theta angle in degrees 2nd column: Phi angle in degrees 3rd column: real part of Gain, theta component, in dBi 4th column: imaginary part of Gain, theta component, in dBi 5th column: real part of Gain, phi component, in dBi 6th column: imaginary part of Gain, phi component, in dBi In each file name, the first word defines whether the data is from simulation or measurement (there were two measurements done with the phantom, hence measurement_#1 and #2), the second tells whether the data is obtained in free space or with a user (options: freeSpace, numericalHuman and phantom), the third word defines the port number (port1 through port8) and the last one the polarization of that port (either Vpol or Hpol). The spherical coordinate system is used in accordance to the IEEE-standard spherical coordinate system. The underlying Cartesian coordinate system is shown in the two attached preview (PNG) image files for both human body models, where the z-axis (theta=0 degrees) points to the direction of the head of the human, the x-axis (phi=0 degrees) towards the left-hand side of the human, and the y-axis (phi=90 degrees) towards the back of the human.

  • Open Access English
    Authors: 
    Kolari, Pasi; Aalto, Juho; Levula, Janne; Kulmala, Liisa; Ilvesniemi, Hannu; Pumpanen, Jukka;
    Publisher: Zenodo
    Project: AKA | ‘Centre of Excellence in ... (272041), AKA | Finnish Centre of Excelle... (118615), AKA | Centre of Excellence in A... (307331), AKA | Finnish Centre of Excelle... (141135)

    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. The dataset consists of following files: 1. Description of site history and essential stand and soil characteristics (Hyytiala site description.pdf) 2. Stand characteristics, tree biomasses and leaf area index calculated for all biomass inventory plots and for ICOS target stand (Hyytiala stand characteristics.xlsx) 3. Table (line_plots.csv) that indicates which biomass sample plots are a) located in the area that was burned in 1962 b) thinned in 2002 c) inside ICOS target stand 4. Cleaned-up tree-wise inventory data collected at the line sampling plots in 2001, 2008, 2012 and 2015 (Biomass inventories.xlsx) 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)

Advanced search in
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arrow_drop_down
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Include:
164 Research products, page 1 of 17
  • Open Access English
    Authors: 
    Sinnemäki, Kaius; Ahola, Noora;
    Publisher: Zenodo
    Project: EC | GramAdapt (805371), AKA | Nominal categories and th... (296212)

    This material contains the dataset and the R-scripts from the gitlab repository of the following article. Please cite the article when using the data. Sinnemäki, Kaius 2020. Linguistic system and sociolinguistic environment as competing factors in linguistic variation: A typological approach. Journal of Historical Sociolinguistics 6(2): 20190101. https://doi.org/10.1515/jhsl-2019-1010

  • Open Access English
    Authors: 
    Happonen, Konsta; Lauralotta Muurinen; Virtanen, Risto; Kaakinen, Eero; Parisot, Philippe; Wolff, Matias; Maliniemi, Tuija;
    Publisher: Zenodo
    Project: AKA | Decadal time scale vegeta... (259072)

    Data and code for the paper 'Trait-based responses to forestry and reindeer husbandry modify long-term changes in forest understories' See the preprint. The R markdown document (containing R code) docs/new_figures.Rmd can be used to reproduce all figures and modelling results of the paper. The models themselves are described and fitted in the R markdown document spatial_confounds.Rmd. Among other variables, this repository contains ready-calculated community characteristics (results/clean_data/data_for_analyses/kaik.csv: species richness, Shannon diversity, species evenness, height, LDMC, SLA) and their temporal changes along with temporal Jaccard distance between 1968–1975 and 2013–2019 (results/clean_data/data_for_analyses/erot.csv) for 245 5 m x 5 m plots of field-layer vegetation. Information is also included on tree-layer SLA and canopy cover for 10 m x 10 m plots directly above them. Each plot also has information on reindeer densities in their reindeer herding district, and on the level of management intensity. For more information, see the paper. Original community and trait data and are not included to avoid data duplication. Community data are available upon request, and will be submitted to an open repository at a later date. Original trait data are from TRY and LEDA, supplemented with our own measurements, references to trait sources are listed in docs/trait_references.txt. Climate data are from TerraClimate. ## References Abatzoglou, John T., Solomon Z. Dobrowski, Sean A. Parks, and Katherine C. Hegewisch. 2018. “TerraClimate, a High-Resolution Global Dataset of Monthly Climate and Climatic Water Balance from 1958-2015.” Scientific Data 5 (January): 170191. Kattge, Jens, S. Díaz, S. Lavorel, I. C. Prentice, P. Leadley, G. Bönisch, E. Garnier, et al. 2011. “TRY - a Global Database of Plant Traits.” Global Change Biology 17 (9): 2905–35. Kleyer, M., R. M. Bekker, I. C. Knevel, J. P. Bakker, K. Thompson, M. Sonnenschein, P. Poschlod, et al. 2008. “The LEDA Traitbase: A Database of Life-History Traits of the Northwest European Flora.” The Journal of Ecology 96 (6): 1266–74.

  • Open Access English
    Authors: 
    Lenz, Robin; Enders, Kristina; Fischer, Franziska; Brandt, Josef; Fischer, Dieter; Labrenz, Matthias;
    Publisher: Zenodo
    Project: EC | BONUS (271534)

    Funding of this study was received from the project MicroCatch_balt (German Federal Ministry of Education and Research (BMBF), grant number 03F0788A) and the BONUS project Micropoll (funded jointly by the European Union and the BMBF, grant number 03F0775A). Spectroscopic data measured on untreated and treated microplastic particles using Raman and FTIR microspectroscopy. All details on methods of measurements are described in the main manuscript.

  • Open Access English
    Authors: 
    Konsta Happonen; Lauralotta Muurinen; Risto Virtanen; Eero Kaakinen; Philippe Parisot; Matias Wolff; Tuija Maliniemi;
    Publisher: Zenodo
    Project: AKA | Decadal time scale vegeta... (259072)

    Data and code for the paper 'Trait-based responses to forestry and reindeer husbandry modify long-term changes in forest understories' See the preprint. The R markdown document (containing R code) docs/new_figures.Rmd can be used to reproduce all figures and modelling results of the paper. The models themselves are described and fitted in the R markdown document spatial_confounds.Rmd. Among other variables, this repository contains ready-calculated community characteristics (results/clean_data/data_for_analyses/kaik.csv: species richness, Shannon diversity, species evenness, height, LDMC, SLA) and their temporal changes along with temporal Jaccard distance between 1968–1975 and 2013–2019 (results/clean_data/data_for_analyses/erot.csv) for 245 5 m x 5 m plots of field-layer vegetation. Information is also included on tree-layer SLA and canopy cover for 10 m x 10 m plots directly above them. Each plot also has information on reindeer densities in their reindeer herding district, and on the level of management intensity. For more information, see the paper. Original community amd trait data and are not included to avoid data duplication. Community data are available upon request, and will be submitted to an open repository at a later date. Original trait data are from TRY and LEDA, supplemented with our own measurements, references to trait sources are listed in docs/trait_references.txt. Climate data are from TerraClimate. ## References Abatzoglou, John T., Solomon Z. Dobrowski, Sean A. Parks, and Katherine C. Hegewisch. 2018. “TerraClimate, a High-Resolution Global Dataset of Monthly Climate and Climatic Water Balance from 1958-2015.” Scientific Data 5 (January): 170191. Kattge, Jens, S. Díaz, S. Lavorel, I. C. Prentice, P. Leadley, G. Bönisch, E. Garnier, et al. 2011. “TRY - a Global Database of Plant Traits.” Global Change Biology 17 (9): 2905–35. Kleyer, M., R. M. Bekker, I. C. Knevel, J. P. Bakker, K. Thompson, M. Sonnenschein, P. Poschlod, et al. 2008. “The LEDA Traitbase: A Database of Life-History Traits of the Northwest European Flora.” The Journal of Ecology 96 (6): 1266–74.

  • Open Access English
    Authors: 
    Geet Raju; Kyriakopoulos, Nikos; Timonen, Jaakko V I;
    Publisher: Zenodo
    Project: AKA | Controlling and Probing D... (316219), EC | InterActive (803937)

    Raw data (microscopy videos and image sequences) and scripts used for the analysis for the publication "Diversity of Non-Equilibrium Patterns and Emergence of Activity in Confined Electrohydrodynamically Driven Liquids", Science Advances 7 (38), eabh1642

  • Open Access English
    Authors: 
    Treat, Claire C; Jones, Miriam C; Camill, Philip; Gallego-Sala, Angela V; Garneau, Michelle; Harden, Jennifer W; Hugelius, Gustaf; Klein, Eric S; Kokfelt, Ulla; Kuhry, Peter; +9 more
    Publisher: PANGAEA - Data Publisher for Earth & Environmental Science
    Project: AKA | Mire diversity and functi... (131409)

    Permafrost dynamics play an important role in high-latitude peatland carbon balance and are key to understanding the future response of soil carbon stocks. Permafrost aggradation can control the magnitude of the carbon feedback in peatlands through effects on peat properties. We compiled peatland plant macrofossil records for the northern permafrost zone (515 cores from 280 sites) and classified samples by vegetation type and environmental class (fen, bog, tundra and boreal permafrost, thawed permafrost). We examined differences in peat properties (bulk density, carbon (C), nitrogen (N) and organic matter content, C/N ratio) and C accumulation rates among vegetation types and environmental classes.

  • Open Access English
    Authors: 
    Batenburg, Anneke M; Popa, M Elena; Vermeulen, Alexander T; Van den Bulk, Willem CM; Jongejan, Piet AC; Fisher, Rebecca E; Lowry, David; Nisbet, Euan G; Röckmann, Thomas;
    Publisher: PANGAEA - Data Publisher for Earth & Environmental Science
    Project: AKA | ‘Centre of Excellence in ... (272041), EC | EXCATRO (321040), AKA | Secondary organic aerosol... (259005), NWO | The impact of a future hy... (2300138501)

    Measurements of the stable isotopic composition (dD(H2) or dD) of atmospheric molecular hydrogen (H2) are a useful addition to mixing ratio (X(H2)) measurements for understanding the atmospheric H2 cycle. dD datasets published so far consist mostly of observations at background locations. We complement these with observations from the Cabauw tall tower at the CESAR site, situated in a densely populated region of the Netherlands. Our measurements show a large anthropogenic influence on the local H2 cycle, with frequently occurring pollution events that are characterized by X(H2) values that reach up to 1 ppm and low dD values. An isotopic source signature analysis yields an apparent source signature below -400 per mil, which is much more D-depleted than the fossil fuel combustion source signature commonly used in H2 budget studies. Two diurnal cycles that were sampled at a suburban site near London also show a more D-depleted source signature (-340 per mil), though not as extremely depleted as at Cabauw. The source signature of the Northwest European vehicle fleet may have shifted to somewhat lower values due to changes in vehicle technology and driving conditions. Even so, the surprisingly depleted apparent source signature at Cabauw requires additional explanation; microbial H2 production seems the most likely cause. The Cabauw tower site also allowed us to sample vertical profiles. We found no decrease in (H2) at lower sampling levels (20 and 60m) with respect to higher sampling levels (120 and 200m). There was a significant shift to lower median dD values at the lower levels. This confirms the limited role of soil uptake around Cabauw, and again points to microbial H2 production during an extended growing season, as well as to possible differences in average fossil fuel combustion source signature between the different footprint areas of the sampling levels. So, although knowledge of the background cycle of H2 has improved over the last decade, surprising features come to light when a non-background location is studied, revealing remaining gaps in our understanding. Please cite the original AtmosEnv article (doi:10.1016/j.atmosenv.2016.09.058) when using these data.The paper also contains more information about how these data were collected and calibrated, and on how the quality control flags were assigned.All samples were collected at the Cabauw tower, at the CESAR site (51.971° N, 4.927° E, http://www.cesar-observatory.nl/). H2 and deltaD(H2) are calibrated using one to four laboratory reference air cylinders, depending on measurement period. The H2 mixing ratio of the reference cylinders was determined by UHEI-IUP, MPI-BGC, or the IMAU isotope laboratory. The deltaD(H2) of the reference cylinders is, sometimes indirectly, linked to the VSMOW scale by measurements of air mixtures containing H2 standards of known isotopic composition.H2 scale: MPI2009, Jordan and Steinberg, AMT, 2011, doi:10.5194/amt-4-509-2011deltaD(H2) units: permil deviation from VSMOW, Gonfiantini et al., IAEA-TECDOC-825, IAEA

  • Research data . 2011
    Open Access English
    Authors: 
    Pxe4ivi Peltomxe4ki; Ralf Bxfctzow;
    Project: EC | EPISUSCEPTIBILITY (232635)
  • Open Access English
    Authors: 
    Vähä-Savo, Lauri; Heino, Mikko; Haneda, Katsuyuki; Icheln, Clemens; Hazmi, Ali; Tian, Ruiyuan;
    Publisher: Zenodo
    Project: AKA | Massive MIMO: Advanced An... (288670)

    The purpose of this dataset is to supplement the data presented in our journal publication " Empirical Evaluation of a 28 GHz Antenna Array on a 5G Mobile Phone Using a Body Phantom " (see https://ieeexplore.ieee.org/document/9424391). This dataset contains the 3-D surface meshes of the numerical human body model and of the human body styrofoam phantom used in the above publication. The numerical human body model in the file numerical_human_body_model.stp was initially exported from MakeHuman (http://www.makehumancommunity.org), the actual body posture was then created with Blender 3D Creation Suite (https://www.blender.org), and this final body model was exported in .STP format. This .STP file was then imported into CST Studio Suite (http://www.cst.com) in order to simulate the 3-D realized-gain patterns of the mobile-phone antenna placed in the hand of the human body model. The dimensions of the in-house hexagonal human-body phantom used in the measurements is provided in the file styrofoam_structure_ hexagonal_body_phantom.stp, which describes the Styrofoam support structure of the hexagonal human body phantom without the skin material layer that is to be added for measurements. The material properties of the numerical human body model used in the simulations as well as of the skin material used in the measurements are described in detail in the above publication. Also, the design of the dual-polarized mobile-phone antenna-array with eight vertical feed ports and eight horizontal feed ports is described in detail within the above publication (see Fig. 4 - 6) and is not part of this dataset. This dataset also contains the 3-D polarimetric, directional, complex-valued (real, imaginary) realized-gain patterns simulated and measured in free space, as well as simulated with a numerical human model and measured with the body phantom, all at 28 GHz. The simulated patterns are given in 1-degree resolution in both phi and theta angles. Whereas measured patterns with the body phantom are given in 1-degree resolution in theta angle and 10-degree resolution in phi angle. The patterns are separately given for each of the sixteen antenna ports, where eight are vertically polarized ("Vpol") and eight are horizontal polarized ("Hpol"). Port order and types are described in detail within the above publication. The 2-D pattern cuts presented in the above publication (in Fig. 8) are subsets of the 3-D patterns in this dataset. The de-embedding of the feed lines and connector losses, which is explained in the paper, was not applied for these (measured) datasets. For convenience the 80 ASCII realized-gain patterns files are divided into five separate subsets (.zip files) which are: - Measurement_freeSpace - Measurement-1_phantom - Measurement-2_phantom - Simulated_freeSpace - Simulated_numericalHuman The format of the 16 ASCII files per .zip file {e.g. Measurement_freeSpace_port1_Vpol.txt } is a follows: 1st column: Theta angle in degrees 2nd column: Phi angle in degrees 3rd column: real part of Gain, theta component, in dBi 4th column: imaginary part of Gain, theta component, in dBi 5th column: real part of Gain, phi component, in dBi 6th column: imaginary part of Gain, phi component, in dBi In each file name, the first word defines whether the data is from simulation or measurement (there were two measurements done with the phantom, hence measurement_#1 and #2), the second tells whether the data is obtained in free space or with a user (options: freeSpace, numericalHuman and phantom), the third word defines the port number (port1 through port8) and the last one the polarization of that port (either Vpol or Hpol). The spherical coordinate system is used in accordance to the IEEE-standard spherical coordinate system. The underlying Cartesian coordinate system is shown in the two attached preview (PNG) image files for both human body models, where the z-axis (theta=0 degrees) points to the direction of the head of the human, the x-axis (phi=0 degrees) towards the left-hand side of the human, and the y-axis (phi=90 degrees) towards the back of the human.

  • Open Access English
    Authors: 
    Kolari, Pasi; Aalto, Juho; Levula, Janne; Kulmala, Liisa; Ilvesniemi, Hannu; Pumpanen, Jukka;
    Publisher: Zenodo
    Project: AKA | ‘Centre of Excellence in ... (272041), AKA | Finnish Centre of Excelle... (118615), AKA | Centre of Excellence in A... (307331), AKA | Finnish Centre of Excelle... (141135)

    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. The dataset consists of following files: 1. Description of site history and essential stand and soil characteristics (Hyytiala site description.pdf) 2. Stand characteristics, tree biomasses and leaf area index calculated for all biomass inventory plots and for ICOS target stand (Hyytiala stand characteristics.xlsx) 3. Table (line_plots.csv) that indicates which biomass sample plots are a) located in the area that was burned in 1962 b) thinned in 2002 c) inside ICOS target stand 4. Cleaned-up tree-wise inventory data collected at the line sampling plots in 2001, 2008, 2012 and 2015 (Biomass inventories.xlsx) 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)

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