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307 results for “Peatland”
Spatiotemporal distribution of global peatland area during the Holocene
<p>The global peatland area dataset comprises netCDF files, which consist of 13 sets of maps showing the global extent of peatlands at a spatial resolution of 0.5° × 0.5°. All maps are provided at 1,000-year time intervals between 12 and 0 ka BP. The peatland area files named “Global_peatland_area_BA_*” were reconstructed using the BA method, and the files named “Global_peatland_area_IDW_*” were reconstructed using the IDW method. The global peatland records included data on location, latitude, longitude, peat type, basal ages, and end ages. The global pollen of <em>Sphagnum</em> records included latitude, longitude,<em> Sphagnum</em> content, and peat basal and end ages.</p>
Methane and Carbon Dioxide Production and Emission Pathways in the Belowground and Draining Water Bodies of a Tropical Peatland Plantation Forest
<p>This is the data repository for the second version (revised) of the manuscript "Methane and Carbon Dioxide Production and Emission Pathways in the Belowground and Draining Water Bodies of a Tropical Peatland Plantation Forest<strong>"</strong> submitted to Geophysical Research Letters on 10 January 2025.</p>
Skogaryd data used for the paper: Evaluation of long-term carbon dynamics in a drained forested peatland using the ForSAFE-Peat Model.
<p>Dataset of abiotic and carbon exchange variables for Skogaryd drained afforested peatland. The dataset include measurements of soil temperature, ground water level, and carbon exhange as well as modelled carbon fluxes performed with the model ForSAFE-Peat </p>
Peatland Decomposition Database (1.1.0)
<div> <div> <div> <div> </div> <div> <h1>1 Introduction</h1> <p>The Peatland Decomposition Database (PDD) stores data from published litterbag experiments related to peatlands. Currently, the database focuses on northern peatlands and <em>Sphagnum</em> litter and peat, but it also contains data from some vascular plant litterbag experiments. Currently, the database contains entries from 34 studies, 2,160 litterbag experiments, and 7,297 individual samples with 117,841 measurements for various attributes (e.g. relative mass remaining, N content, holocellulose content, mesh size). The aim is to provide a harmonized data source that can be useful to re-analyse existing data and to plan future litterbag experiments.</p> <p>The Peatland Productivity and Decomposition Parameter Database (PPDPD) (Bona et al. 2018) is similar to the Peatland Decomposition Database (PDD) in that both contain data from peatland litterbag experiments. The differences are that both databases partly contain different data, that PPDPD additionally contains information on vegetation productivity, which PDD does not, and that PDD provides more information and metadata on litterbag experiments, and also measurement errors.</p> </div> <div> <h1>2 Updates</h1> <p>Compared to version 1.0.0, this version has a new structure for table <code>experimental_design_format</code>, contains additional metadata on the experimental design (these were omitted in version 1.0.0), and contains the scripts that were used to import the data into the database.</p> </div> <div> <h1>3 Methods</h1> <div> <h2>3.1 Data collection</h2> <p>Data for the database was collected from published litterbag studies, by extracting published data from figures, tables, or other data sources, and by contacting the authors of the studies to obtain raw data. All data processing was done with R (R version 4.2.0 (2022-04-22)) (R Core Team 2022).</p> <p>Studies were identified via a Scopus search with search string <code>(TITLE-ABS-KEY ( peat* AND ( "litter bag" OR "decomposition rate" OR "decay rate" OR "mass loss")) AND NOT ("tropic*"))</code> (2022-12-17). These studies were further screened to exclude those which do not contain litterbag data or which recycle data from other studies that have already been considered. Additional studies with litterbag experiments in northern peatlands we were aware of, but which were not identified in the literature search were added to the list of publications. For studies not older than 10 years, authors were contacted to obtain raw data, however this was successful only in few cases. To date, the database focuses on <em>Sphagnum</em> litterbag experiments and not from all studies that were identified by the literature search data have been included yet in the database.</p> <p>Data from figures were extracted using the package ‘metaDigitise’ (1.0.1) (Pick, Nakagawa, and Noble 2018). Data from tables were extracted manually.</p> <p>Data from the following studies are currently included: Farrish and Grigal (1985), Bartsch and Moore (1985), Farrish and Grigal (1988), Vitt (1990), Hogg, Lieffers, and Wein (1992), Sanger, Billett, and Cresser (1994), Hiroki and Watanabe (1996), Szumigalski and Bayley (1996), Prevost, Belleau, and Plamondon (1997), Arp, Cooper, and Stednick (1999), Robbert A. Scheffer and Aerts (2000), R. A. Scheffer, Van Logtestijn, and Verhoeven (2001), Limpens and Berendse (2003), Waddington, Rochefort, and Campeau (2003), Asada, Warner, and Banner (2004), Thormann, Bayley, and Currah (2001), Trinder, Johnson, and Artz (2008), Breeuwer et al. (2008), Trinder, Johnson, and Artz (2009), Bragazza and Iacumin (2009), Hoorens, Stroetenga, and Aerts (2010), Straková et al. (2010), Straková et al. (2012), Orwin and Ostle (2012), Lieffers (1988), Manninen et al. (2016), Johnson and Damman (1991), Bengtsson, Rydin, and Hájek (2018a), Bengtsson, Rydin, and Hájek (2018b), Asada and Warner (2005), Bengtsson, Granath, and Rydin (2017), Bengtsson, Granath, and Rydin (2016), Hagemann and Moroni (2015), Hagemann and Moroni (2016), B. Piatkowski et al. (2021), B. T. Piatkowski et al. (2021), Mäkilä et al. (2018), Golovatskaya and Nikonova (2017), Golovatskaya and Nikonova (2017).</p> </div> </div> <div> <h1>4 Database records</h1> <p>The database is a ‘MariaDB’ database and the database schema was designed to store data and metadata following the Ecological Metadata Language (EML) (Jones et al. 2019). Descriptions of the tables are shown in Tab. 1.</p> <p>The database contains general metadata relevant for litterbag experiments (e.g., geographical, temporal, and taxonomic coverage, mesh sizes, experimental design). However, it does not contain a detailed description of sample handling, sample preprocessing methods, site descriptions, because there currently are no discipline-specific metadata and reporting standards.</p> Table 1: Description of the individual tables in the database. <table> <tbody> <tr> <th>Name</th> <th>Description</th> </tr> </tbody> <tbody> <tr> <td>attributes</td> <td>Defines the attributes of the database and the values in column <code>attribute_name</code> in table <code>data</code>.</td> </tr> <tr> <td>citations</td> <td>Stores bibtex entries for references and data sources.</td> </tr> <tr> <td>citations_to_datasets</td> <td>Links entries in table <code>citations</code> with entries in table <code>datasets</code>.</td> </tr> <tr> <td>custom_units</td> <td>Stores custom units.</td> </tr> <tr> <td>data</td> <td>Stores measured values for samples, for example remaining masses.</td> </tr> <tr> <td>datasets</td> <td>Lists the individual datasets.</td> </tr> <tr> <td>experimental_design_format</td> <td>Stores information on the experimental design of litterbag experiments.</td> </tr> <tr> <td>measurement_scales, measurement_scales_date_time, measurement_scales_interval, measurement_scales_nominal, measurement_scales_ordinal, measurement_scales_ratio</td> <td>Defines data value types.</td> </tr> <tr> <td>missing_value_codes</td> <td>Defines how missing values are encoded.</td> </tr> <tr> <td>samples</td> <td>Stores information on individual samples.</td> </tr> <tr> <td>samples_to_samples</td> <td>Links samples to other samples, for example litter samples collected in the field to litter samples collected during the incubation of the litterbags.</td> </tr> <tr> <td>units, unit_types</td> <td>Stores information on measurement units.</td> </tr> </tbody> </table> </div> <div> <h1>5 Attributes</h1> Table 2: Definition of attributes in the Peatland Decomposition Database and entries in the column <code>attribute_name</code> in table <code>data</code>. <table> <tbody> <tr> <th>Name</th> <th>Definition</th> <th>Example value</th> <th>Unit</th> <th>Measurement scale</th> <th>Number type</th> <th>Minimum value</th> <th>Maximum value</th> <th>String format</th> </tr> </tbody> <tbody> <tr> <td>4_hydroxyacetophenone_mass_absolute</td> <td>A numeric value representing the content of 4-hydroxyacetophenone, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>4_hydroxyacetophenone_mass_relative_mass</td> <td>A numeric value representing the content of 4-hydroxyacetophenone, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>4_hydroxybenzaldehyde_mass_absolute</td> <td>A numeric value representing the content of 4-hydroxybenzaldehyde, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>4_hydroxybenzaldehyde_mass_relative_mass</td> <td>A numeric value representing the content of 4-hydroxybenzaldehyde, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>4_hydroxybenzoic_acid_mass_absolute</td> <td>A numeric value representing the content of 4-hydroxybenzoic acid, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>4_hydroxybenzoic_acid_mass_relative_mass</td> <td>A numeric value representing the content of 4-hydroxybenzoic acid, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>abbreviation</td> <td>In table <code>custom_units</code>: A string representing an abbreviation for the custom unit.</td> <td>gC</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>acetone_extractives_mass_absolute</td> <td>A numeric value representing the content of acetone extractives, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>acetone_extractives_mass_relative_mass</td> <td>A numeric value representing the content of acetone extractives, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>acetosyringone_mass_absolute</td> <td>A numeric value representing the content of acetosyringone, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>acetosyringone_mass_relative_mass</td> <td>A numeric value representing the content of acetosyringone, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>acetovanillone_mass_absolute</td> <td>A numeric value representing the content of acetovanillone, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>acetovanillone_mass_relative_mass</td> <td>A numeric value representing the content of acetovanillone, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>arabinose_mass_absolute</td> <td>A numeric value representing the content of arabinose, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>arabinose_mass_relative_mass</td> <td>A numeric value representing the content of arabinose, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>ash_mass_absolute</td> <td>A numeric value representing the content of ash (after burning at 550°C).</td> <td>4</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>ash_mass_relative_mass</td> <td>A numeric value representing the content of ash (after burning at 550°C).</td> <td>0.05</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>attribute_definition</td> <td>A free text field with a textual description of the meaning of attributes in the dpeatdecomposition database.</td> <td>NA</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>attribute_name</td> <td>A string describing the names of the attributes in all tables of the dpeatdecomposition database.</td> <td>attribute_name</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>bibtex</td> <td>A string representing the bibtex code used for a literature reference throughout the dpeatdecomposition database.</td> <td>Galka.2021</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>bounds_maximum</td> <td>A numeric value representing the minimum possible value for a numeric attribute.</td> <td>0</td> <td>NA</td> <td>interval</td> <td>real</td> <td>Inf</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>bounds_minimum</td> <td>A numeric value representing the maximum possible value for a numeric attribute.</td> <td>INF</td> <td>NA</td> <td>interval</td> <td>real</td> <td>Inf</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>bulk_density</td> <td>A numeric value representing the bulk density of the sample [g cm<sup>-3</sup>].</td> <td>0,2</td> <td>g/cm^3</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>C_absolute</td> <td>The absolute mass of C in the sample.</td> <td>1</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>C_relative_mass</td> <td>The absolute mass of C in the sample.</td> <td>1</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>C_to_N</td> <td>A numeric value representing the C to N ratio of the sample.</td> <td>35</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>C_to_P</td> <td>A numeric value representing the C to P ratio of the sample.</td> <td>35</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>Ca_absolute</td> <td>The absolute mass of Ca in the sample.</td> <td>1</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>Ca_relative_mass</td> <td>The absolute mass of Ca in the sample.</td> <td>1</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>cation_exchange_capacity_absolute</td> <td>A numeric value representing the cation exchange capacity.</td> <td>10</td> <td>mol</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>cation_exchange_capacity_relative_mass</td> <td>A numeric value representing the cation exchange capacity relative to sample mass.</td> <td>200</td> <td>mol/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>cellulose_mass_absolute</td> <td>A numeric value representing the content of cellulose, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>cellulose_mass_relative_mass</td> <td>A numeric value representing the content of cellulose, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>comments_measurement</td> <td>A string representing comments on a measurement.</td> <td>NA</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>comments_samples</td> <td>A free text field where you can enter all information related to the sample that is not covered by the remaining fields. For example you could provide information on potential contamination sources, issues with specific parameters, additional information to the sampling site, e.g. present vegetation, past vegetation, specific conditions during sampling, … .</td> <td>…</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>description</td> <td>A free text field. In table “custom_units”: A description of a custom unit.</td> <td>NA</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>dichloromethane_extractives_mass_absolute</td> <td>A numeric value representing the content of dichlromethane extractives, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>dichloromethane_extractives_mass_relative_mass</td> <td>A numeric value representing the content of dichlromethane extractives, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>dimension</td> <td>A string representing the dimension of the unit.</td> <td>L</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>error</td> <td>A numeric value representing the error of the measured value. The unit of the error is defined by the corresponding <code>attribute_name</code>.</td> <td>1.2</td> <td>NA</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>error_type</td> <td>A character representing the type of the error of a measured value (e.g., sd, 95% interval, etc.).</td> <td>sd</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>ethanol_extractives_mass_absolute</td> <td>A numeric value representing the content of ethanol extractives, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>ethanol_extractives_mass_relative_mass</td> <td>A numeric value representing the content of ethanol extractives, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>experimental_design</td> <td>A character of the format ‘x_y_z_…’, where x, y, z, …, are integers differentiating hierarchical groups of an experimental design. These groups are explained in table experimental_design_format</td> <td>…</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>experimental_design_description</td> <td>A string describing the variables in the csv file identified by column <code>file</code> in table <code>experimental_design_format</code> for each dataset.</td> <td>…</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>explanation</td> <td>In table <code>missing_value_codes</code>: A string explaining what the corresponding missing value code means.</td> <td>…</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>Fe_absolute</td> <td>The absolute mass of Fe in the sample.</td> <td>1</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>Fe_relative_mass</td> <td>The absolute mass of Fe in the sample.</td> <td>1</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>ferulic_acid_mass_absolute</td> <td>A numeric value representing the content of ferulic acid, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>ferulic_acid_mass_relative_mass</td> <td>A numeric value representing the content of ferulic acid, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>file</td> <td>A string representing a path to a file. For table <code>experimental_design_format</code>: Path to a csv file providing details on the experimental design and manipulations.</td> <td>NA</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>format_string</td> <td>A string defining the format of a nominal variable.</td> <td>YYYY-MM-DD</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>galactose_mass_absolute</td> <td>A numeric value representing the content of galactose, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>galactose_mass_relative_mass</td> <td>A numeric value representing the content of galactose, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>galacturonic_acid_mass_absolute</td> <td>A numeric value representing the content of galacturonic acid, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>galacturonic_acid_mass_relative_mass</td> <td>A numeric value representing the content of galacturonic acid, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>glucose_mass_absolute</td> <td>A numeric value representing the content of glucose, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>glucose_mass_relative_mass</td> <td>A numeric value representing the content of glucose, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>glucuronic_acid_mass_absolute</td> <td>A numeric value representing the content of glucuronic acid, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>glucuronic_acid_mass_relative_mass</td> <td>A numeric value representing the content of glucuronic acid, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>ground_slope</td> <td>The slope of the sample (land surface) as fraction of the vertical distance covered and the horizontal distance.</td> <td>0.2</td> <td>cm/cm</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>holocellulose_mass_absolute</td> <td>A numeric value representing the absolute holocellulose mass in the sample.</td> <td>0.45</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>holocellulose_mass_relative_mass</td> <td>A numeric value representing the holocellulose content of the sample [g/g].</td> <td>0.45</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>id_citation</td> <td>An integer value representing an id for each entry in the table “citations“ in the dpeatdecomposition database.</td> <td>1</td> <td>NA</td> <td>interval</td> <td>natural</td> <td>1</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>id_dataset</td> <td>A numeric id for the dataset (starting with 1 and increasing by 1; for one data contribution, this should be 1 for all samples and the appropriate id is assigned when the data are merged into the database).</td> <td>1</td> <td>NA</td> <td>interval</td> <td>natural</td> <td>1</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>id_measurement</td> <td>A numeric id for measurements (starting with 1 and increasing by 1). This means that each measurement gets its own rows and measurements for different attributes are considered independent, i.e. multiple measurement ids for the same sample just count replicate measurements for any attribute. For attributes with less measurements than for a different attribute, just fill measurements starting from smaller id_measurement and leave the cells in the remaining rows empty.</td> <td>1</td> <td>NA</td> <td>interval</td> <td>natural</td> <td>1</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>id_measurement_denominator</td> <td>An integer value representing the identifier for the measurement which is used as denominator in computing a relative quantity (e.g. the absolute mass of the initial sample when computing the mass fraction relative to the initial sample).</td> <td>1</td> <td>NA</td> <td>interval</td> <td>natural</td> <td>1</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>id_measurement_numerator</td> <td>An integer value representing the identifier for the measurement which is used as numerator in computing a relative quantity (e.g. the absolute mass of the sample when computing the mass fraction relative to the initial sample).</td> <td>1</td> <td>NA</td> <td>interval</td> <td>natural</td> <td>1</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>id_measurement_scale</td> <td>An integer value representing an id for each entry in the table “measurement_scales“ in the dpeatdecomposition database.</td> <td>1</td> <td>NA</td> <td>interval</td> <td>natural</td> <td>1</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>id_missing_value_code</td> <td>An integer value representing an id for each entry in the table “missing_value_codes“ in the dpeatdecomposition database.</td> <td>1</td> <td>NA</td> <td>interval</td> <td>natural</td> <td>1</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>id_sample</td> <td>A numeric id for the sample (starting with 1 and increasing by 1).</td> <td>1</td> <td>NA</td> <td>interval</td> <td>natural</td> <td>1</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>id_sample_child</td> <td>An integer representing an identifier for the child (resulting) sample of the transition (some change to a sample).</td> <td>1</td> <td>NA</td> <td>interval</td> <td>natural</td> <td>1</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>id_sample_incubation_start</td> <td>An integer representing an identifier for the sample which is the sample at the start of the incubation (<code>incubation_duration == 0</code>).</td> <td>1</td> <td>NA</td> <td>interval</td> <td>natural</td> <td>1</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>id_sample_origin</td> <td>An integer representing an identifier for the sample which is the original sample in a line of transitions of a sample (modifications of a sample).</td> <td>1</td> <td>NA</td> <td>interval</td> <td>natural</td> <td>1</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>id_sample_parent</td> <td>An integer representing an identifier for the parent (initial) sample of the transition (some change to a sample).</td> <td>1</td> <td>NA</td> <td>interval</td> <td>natural</td> <td>1</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>id_unit</td> <td>An integer value representing an id for each entry in the table “units“ in the dpeatdecomposition database.</td> <td>1</td> <td>NA</td> <td>interval</td> <td>natural</td> <td>1</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>incubation_duration</td> <td>A numeric value representing the number of days over which a sample was incubated.</td> <td>45</td> <td>d</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>incubation_environment</td> <td>A character defining the environment in which a litterbag sample was incubated (e.g. ‘peat’, ‘container’, …).</td> <td>peat</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>is_incubated</td> <td>A logical value indicating whether a sample was collected during the decomposition incubation of a litterbag experiment or not.</td> <td>TRUE</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>K_absolute</td> <td>The absolute mass of K in the sample.</td> <td>1</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>K_relative_mass</td> <td>The absolute mass of K in the sample.</td> <td>1</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>Klason_lignin_mass_absolute</td> <td>A numeric value representing the absolute Klason lignin mass in the sample.</td> <td>0.26</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>Klason_lignin_mass_relative_mass</td> <td>A numeric value representing the Klason lignin content of the sample [g/g].</td> <td>0.26</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>mannose_mass_absolute</td> <td>A numeric value representing the content of mannose, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>mannose_mass_relative_mass</td> <td>A numeric value representing the content of mannose, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>mass_absolute</td> <td>The mass of the sample.</td> <td>1200</td> <td>mg</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>mass_relative_mass</td> <td>The mass of the sample divided by the mass of a sample (e.g. the sample before decomposition).</td> <td>0.87</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>measurement_scale</td> <td>A string representing the measurement scale for a value.</td> <td>nominal</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>mesh_size_absolute</td> <td>The width of the mesh the litterbags are made of.</td> <td>0.2</td> <td>um</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>Mg_absolute</td> <td>The absolute mass of Mg in the sample.</td> <td>1</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>Mg_relative_mass</td> <td>The absolute mass of Mg in the sample.</td> <td>1</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>Mn_absolute</td> <td>The absolute mass of Mn in the sample.</td> <td>1</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>Mn_relative_mass</td> <td>The absolute mass of Mn in the sample.</td> <td>1</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>multiplier_to_si</td> <td>A numeric value representing the value with which a given value with a certain measurement unit has to be multiplied in order to convert it to a related SI unit.</td> <td>100</td> <td>dimensionless</td> <td>interval</td> <td>real</td> <td>Inf</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>N_absolute</td> <td>The absolute mass of nitrogen in the sample.</td> <td>1.2</td> <td>mg</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>N_relative_mass</td> <td>The mass of the nitrogen in the sample divided by the mass of a sample (e.g. the sample before decomposition).</td> <td>0.013</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>number_type</td> <td>A string representing the number type of a numeric variable.</td> <td>NA</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>P_absolute</td> <td>The absolute mass of P in the sample.</td> <td>1</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>p_coumaric_acid_mass_absolute</td> <td>A numeric value representing the content of p-coumaric acid, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>p_coumaric_acid_mass_relative_mass</td> <td>A numeric value representing the content of p-coumaric acid, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>P_relative_mass</td> <td>The absolute mass of P in the sample.</td> <td>1</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>parent_si</td> <td>A string representing the SI unit from which a certain derived unit is derived.</td> <td>m</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>pH</td> <td>A numeric value representing the pH value of the sample.</td> <td>5,4</td> <td>dimensionless</td> <td>interval</td> <td>real</td> <td>Inf</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>phenolics_PHBA_equivalents_mass_absolute</td> <td>A numeric value representing the mass content of phenolics (p-hydroxy benzoic acid equivalent).</td> <td>10</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>phenolics_PHBA_equivalents_mass_relative_mass</td> <td>A numeric value representing the mass content of phenolics (p-hydroxy benzoic acid equivalent).</td> <td>0.04</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>phenolics_tannic_acid_equivalents_mass_absolute</td> <td>A numeric value representing the mass content of phenolics (tannic acid equivalent).</td> <td>10</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>phenolics_tannic_acid_equivalents_mass_relative_mass</td> <td>A numeric value representing the mass content of phenolics (tannic acid equivalent).</td> <td>0.04</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>power</td> <td>An integer value. The power to which the dimension is raised.</td> <td>2</td> <td>dimensionless</td> <td>interval</td> <td>integer</td> <td>Inf</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>rhamnose_mass_absolute</td> <td>A numeric value representing the content of rhamnose, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>rhamnose_mass_relative_mass</td> <td>A numeric value representing the content of rhamnose, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>root_diameter_absolute</td> <td>The diameter of roots in the sample.</td> <td>2</td> <td>mm</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>S_absolute</td> <td>The absolute mass of S in the sample.</td> <td>1</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>S_relative_mass</td> <td>The absolute mass of S in the sample.</td> <td>1</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>sample_depth_lower</td> <td>A numeric value representing the depth of the lower boundary of a sample relative to the land surface (e.g. peat surface) [cm].</td> <td>15</td> <td>cm</td> <td>interval</td> <td>real</td> <td>Inf</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>sample_depth_upper</td> <td>A numeric value representing the depth of the upper boundary of a sample relative to the land surface (e.g. peat surface) [cm].</td> <td>12</td> <td>cm</td> <td>interval</td> <td>real</td> <td>Inf</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>sample_label</td> <td>A string representing a label for each sample.</td> <td>S1</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>sample_microhabitat</td> <td>A string describing the microhabitat where the sample was collected. For peat, this should be one of ‘hummock’, ‘hollow’, ‘lawn’, ‘pond’. In other cases, a custom value can be used.</td> <td>hummock</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>sample_size</td> <td>An integer representing the number of individual measurements which were used to compute the value in column <code>value</code>.</td> <td>1</td> <td>NA</td> <td>interval</td> <td>natural</td> <td>1</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>sample_treatment</td> <td>A string with an description of an experimental tratment if this was applied. By default, this should be ‘control’, indicating that there was no manipulation. If there was any experimental manipulation, this can be abbreviated by a label (e.g. by a treatment level) that is defined in the textual description of the project (in the file ‘description.docx’).</td> <td>control</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>sample_type</td> <td>A string describing the type of the sample. Must be one of ‘peat’, ‘dom’, ‘vegetation’, ‘litter’.</td> <td>peat</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>sample_type2</td> <td>A string describing the type of the sample. Here you can provide individual (own) categories which may provide more details than the column sample_type.</td> <td>shoots</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>sample_wet_mass_absolute</td> <td>A numeric value representing the mass of the wet sample [g].</td> <td>5.6</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>sampling_altitude</td> <td>A numeric value representing the altitude of the exact sampling position [m above sea level].</td> <td>543</td> <td>m</td> <td>ratio</td> <td>real</td> <td>Inf</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>sampling_day</td> <td>An integer representing the day in which a sample was collected.</td> <td>1</td> <td>NA</td> <td>interval</td> <td>natural</td> <td>1</td> <td>31</td> <td>NA</td> </tr> <tr> <td>sampling_latitude</td> <td>A numeric value representing the latitude coordinates of the exact sampling position (in the EPSG:3857 projection coordinate system — this is the system used by Google and is based on the WGS 84 reference system) [°N].</td> <td>40447</td> <td>NA</td> <td>interval</td> <td>real</td> <td>-180</td> <td>180</td> <td>NA</td> </tr> <tr> <td>sampling_longitude</td> <td>A numeric value representing the longitude coordinates of the exact sampling position (in the EPSG:3857 projection coordinate system — this is the system used by Google and is based on the WGS 84 reference system) [°W].</td> <td>79983</td> <td>NA</td> <td>interval</td> <td>real</td> <td>-180</td> <td>180</td> <td>NA</td> </tr> <tr> <td>sampling_month</td> <td>An integer representing the month in which a sample was collected.</td> <td>1</td> <td>NA</td> <td>interval</td> <td>natural</td> <td>1</td> <td>12</td> <td>NA</td> </tr> <tr> <td>sampling_year</td> <td>An integer representing the year in which a sample was collected.</td> <td>1</td> <td>NA</td> <td>interval</td> <td>natural</td> <td>1</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>site_name</td> <td>A character representing the name of the site where the sample was collected.</td> <td>Mer Bleue</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>soluble_Klason_lignin_mass_absolute</td> <td>A numeric value representing the mass content of soluble Klason lignin (following Ehrman 1996).</td> <td>10</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>soluble_Klason_lignin_mass_relative_mass</td> <td>A numeric value representing the mass content of soluble Klason lignin (following Ehrman 1996).</td> <td>0.04</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>soluble_lignin_mass_absolute</td> <td>A numeric value representing the content of soluble lignin, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>soluble_lignin_mass_relative_mass</td> <td>A numeric value representing the content of soluble lignin, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>sphagnan_mass_absolute</td> <td>A numeric value representing the mass content of sphagnan (Ballance et al., 2007).</td> <td>10</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>sphagnan_mass_relative_mass</td> <td>A numeric value representing the mass content of sphagnan (Ballance et al., 2007).</td> <td>0.04</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>standard_unit</td> <td>A logical value indicating if the unit is a standard unit of the Ecological Metadata Language or not.</td> <td>TRUE</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>syringe_aldehyde_mass_absolute</td> <td>A numeric value representing the content of syringe aldehyde, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>syringe_aldehyde_mass_relative_mass</td> <td>A numeric value representing the content of syringe aldehyde, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>syringic_acid_mass_absolute</td> <td>A numeric value representing the content of syringic acid, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>syringic_acid_mass_relative_mass</td> <td>A numeric value representing the content of syringic acid, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>taxon_organ</td> <td>A string describing the organ of a taxon the sample represents (if the sample represents a taxon). For example, if the sample is Carex lasiocarpa, this could be ‘shoot’, or ‘root’, or ‘leaves’.</td> <td>root</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>taxon_rank_name</td> <td>A string describing the taxon rank the value in column taxon_rank_value represents (if the sample can be assigned to a specific taxon). For exampe, if the value in column taxon_rank_value is a species name, then you should enter ‘species’ here, or if the value in column taxon_rank_value is a genus name, then you should enter ‘genus’ here.</td> <td>species</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>taxon_rank_value</td> <td>A string describing the taxon rank value of the sample (if the sample can be assigned to a taxon). For example, if the sample is a distinct species, enter the scientific species name here, or if the sample can be assigned to a genus, enter the scientific genus name here.</td> <td>Sphagnum magellanicum</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>temperature</td> <td>A numeric value representing the temperature of the sample [K].</td> <td>293.4</td> <td>K</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>text_domain_definition</td> <td>A string representing the text domain for a string.</td> <td>NA</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>transition_description</td> <td>A string representing a description of what happened to a parent sample during its transition to the child sample.</td> <td>transplantation</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>udunits_unit</td> <td>A string representing a measurement unit in the udunits format.</td> <td>m</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>unit_type</td> <td>A string representing the type of a unit.</td> <td>length</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>value</td> <td>A numeric value representing the measured value. The unit of the value is defined by the corresponding <code>attribute_name</code>.</td> <td>1.2</td> <td>NA</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>value_type</td> <td>A character representing the type of the measured value. One of ‘point’ (for a single measurement without uncertainty), or ‘mean’ (average of multiple measurements).</td> <td>point</td> <td>NA</td> <td>nominal</td> <td>NA</td> <td>NA</td> <td>NA</td> <td>NA</td> </tr> <tr> <td>vanillic_acid_mass_absolute</td> <td>A numeric value representing the content of vanillic acid, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>vanillic_acid_mass_relative_mass</td> <td>A numeric value representing the content of vanillic acid, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>vanillin_mass_absolute</td> <td>A numeric value representing the content of vanillin, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>vanillin_mass_relative_mass</td> <td>A numeric value representing the content of vanillin, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>volume</td> <td>A numeric value representing the volume of the sample [cm<sup>3</sup>].</td> <td>20</td> <td>cm^3</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>water_extractives_mass_absolute</td> <td>A numeric value representing the content of water extractives, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>water_extractives_mass_relative_mass</td> <td>A numeric value representing the content of water extractives, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>water_mass_absolute</td> <td>A numeric value representing the water mass content of the sample as mass of water divided by the mass of the wet sample [g]</td> <td>5.6</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>water_mass_relative_mass</td> <td>A numeric value representing the water mass content of the sample as mass of water divided by the mass of the wet sample [g/g]</td> <td>2.4</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>water_mass_relative_volume</td> <td>A numeric value representing the water mass content of the sample as mass of water divided by the volume of the wet sample [g cm<sup>-3</sup>].</td> <td>0.6</td> <td>g/cm^3</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> <tr> <td>water_table_depth</td> <td>A numeric value representing the depth to the water table level relative to the position of the sample.</td> <td>23.4</td> <td>cm</td> <td>ratio</td> <td>real</td> <td>-Inf</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>xylose_mass_absolute</td> <td>A numeric value representing the content of xylose, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>Inf</td> <td>NA</td> </tr> <tr> <td>xylose_mass_relative_mass</td> <td>A numeric value representing the content of xylose, as described in Straková et al. (2010).</td> <td>0.26</td> <td>g/g</td> <td>ratio</td> <td>real</td> <td>0</td> <td>1</td> <td>NA</td> </tr> </tbody> </table> </div> <div> <h1>6 Usage notes</h1> <div> <h2>6.1 Download</h2> <p>The Peatland Decomposition Database can be downloaded from <a href="https://doi.org/10.5281/zenodo.11276065">https://doi.org/10.5281/zenodo.11276065</a>. There you can also download a folder “derived_data” that contains csv files with the experimental design for each study (see attribute <code>file</code> in Tab. 2), and a folder “scripts” with the R Markdown scripts used to import the data into the database.</p> </div> <div> <h2>6.2 Set up</h2> <p>The downloaded database needs to be imported in a running MariaDB instance. In a linux terminal, the downloaded sql file can be imported like so:</p> <pre><code>mysql -u<user> -p dpeatdecomposition < dpeatdecomposition-backup-2025-02-24.sql</code></pre> <p>Here, <code><user></code> is the database user name.</p> </div> <div> <h2>6.3 R interface</h2> <p>The R package <a href="https://github.com/henningte/dpeatdecomposition">‘dpeatdecomposition’</a> (Teickner and Knorr 2024) provides an R interface to the database, based on the packages ‘RMariaDB’ (Müller et al. 2021), and ‘dm’ (Schieferdecker, Müller, and Bergant 2022).</p> </div> </div> <div> <h1>7 Citation</h1> <p>If you use data from the Peat Decomposition Database, cite the database and each of the original data sources you use. Bibliographic information on each data source are stored in table <code>citations</code> and linked to datasets via table <code>citations_to_datasets</code>.</p> <p>The database can be cited as: Teickner, Henning and Klaus-Holger Knorr. 2024. “The Peatland Decomposition Database.” Zenodo. <a href="https://doi.org/10.5281/zenodo.11276065">https://doi.org/10.5281/zenodo.11276065</a>.</p> <p>Bibtex entries for each dataset can also be obtained using the ‘dpeatdecomposition’ package:</p> <pre><code># connect to database con <- RMariaDB::dbConnect( drv = RMariaDB::MariaDB(), dbname = "dpeatdecomposition", default.file = "~/my.cnf" ) # get database as dm object dm_dpeatdecomposition <- dpeatdecomposition::dp_get_dm(con, learn_keys = TRUE) # extract bibtex entries dm_dpeatdecomposition |> dm::dm_zoom_to(datasets) |> dm::left_join(citations_to_datasets, by = "id_dataset") |> dm::left_join(citations, by = "id_citation") |> dm::pull_tbl() |> as.data.frame() # disconnect RMariaDB::dbDisconnect(con)</code></pre> <p>A full list of references for the individual datasets is provided in Tab. <a href="http://localhost:8792/rmd_output/2/#tab:db-sources-list">3</a>.</p> Table 3: Sources for each dataset in the Peatland Decomposition Database. <table> <tbody> <tr> <th>id_dataset</th> <th>Source</th> </tr> </tbody> <tbody> <tr> <td>1</td> <td>Farrish and Grigal (1985)</td> </tr> <tr> <td>2</td> <td>Bartsch and Moore (1985)</td> </tr> <tr> <td>3</td> <td>Farrish and Grigal (1988)</td> </tr> <tr> <td>4</td> <td>Vitt (1990)</td> </tr> <tr> <td>5</td> <td>Hogg, Lieffers, and Wein (1992)</td> </tr> <tr> <td>6</td> <td>Sanger, Billett, and Cresser (1994)</td> </tr> <tr> <td>7</td> <td>Hiroki and Watanabe (1996)</td> </tr> <tr> <td>8</td> <td>Szumigalski and Bayley (1996)</td> </tr> <tr> <td>9</td> <td>Prevost, Belleau, and Plamondon (1997)</td> </tr> <tr> <td>10</td> <td>Arp, Cooper, and Stednick (1999)</td> </tr> <tr> <td>11</td> <td>Robbert A. Scheffer and Aerts (2000)</td> </tr> <tr> <td>12</td> <td>R. A. Scheffer, Van Logtestijn, and Verhoeven (2001)</td> </tr> <tr> <td>13</td> <td>Limpens and Berendse (2003)</td> </tr> <tr> <td>14</td> <td>Waddington, Rochefort, and Campeau (2003)</td> </tr> <tr> <td>15</td> <td>Asada, Warner, and Banner (2004)</td> </tr> <tr> <td>16</td> <td>Thormann, Bayley, and Currah (2001)</td> </tr> <tr> <td>17</td> <td>Trinder, Johnson, and Artz (2008)</td> </tr> <tr> <td>18</td> <td>Breeuwer et al. (2008)</td> </tr> <tr> <td>19</td> <td>Trinder, Johnson, and Artz (2009)</td> </tr> <tr> <td>20</td> <td>Bragazza and Iacumin (2009)</td> </tr> <tr> <td>21</td> <td>Hoorens, Stroetenga, and Aerts (2010)</td> </tr> <tr> <td>22</td> <td>Straková et al. (2010)</td> </tr> <tr> <td>22</td> <td>Straková et al. (2012)</td> </tr> <tr> <td>23</td> <td>Orwin and Ostle (2012)</td> </tr> <tr> <td>24</td> <td>Lieffers (1988)</td> </tr> <tr> <td>25</td> <td>Manninen et al. (2016)</td> </tr> <tr> <td>26</td> <td>Johnson and Damman (1991)</td> </tr> <tr> <td>27</td> <td>Bengtsson, Rydin, and Hájek (2018a)</td> </tr> <tr> <td>27</td> <td>Bengtsson, Rydin, and Hájek (2018b)</td> </tr> <tr> <td>28</td> <td>Asada and Warner (2005)</td> </tr> <tr> <td>29</td> <td>Bengtsson, Granath, and Rydin (2017)</td> </tr> <tr> <td>29</td> <td>Bengtsson, Granath, and Rydin (2016)</td> </tr> <tr> <td>30</td> <td>Hagemann and Moroni (2015)</td> </tr> <tr> <td>30</td> <td>Hagemann and Moroni (2016)</td> </tr> <tr> <td>31</td> <td>B. Piatkowski et al. (2021)</td> </tr> <tr> <td>31</td> <td>B. T. Piatkowski et al. (2021)</td> </tr> <tr> <td>32</td> <td>Mäkilä et al. (2018)</td> </tr> <tr> <td>33</td> <td>Golovatskaya and Nikonova (2017)</td> </tr> <tr> <td>34</td> <td>Golovatskaya and Nikonova (2017)</td> </tr> </tbody> </table> </div> <div> <h1>8 Acknowledgements</h1> <p>Development of this database was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) grant no. KN 929/23-1 to Klaus-Holger Knorr and grant no. PE 1632/18-1 to Edzer Pebesma.</p> </div> <div> <h1>References</h1> <div> <div>Arp, Christopher D., David J. Cooper, and John D. Stednick. 1999. “The Effects of Acid Rock Drainage on <em>Carex</em> <em>Aquatilis</em> Leaf Litter Decomposition in Rocky Mountain Fens.” <em>Wetlands</em> 19 (3): 665–74. <a href="https://doi.org/10.1007/BF03161703">https://doi.org/10.1007/BF03161703</a>.</div> <div>Asada, Taro, and Barry G. Warner. 2005. “Surface Peat Mass and Carbon Balance in a Hypermaritime Peatland.” <em>Soil Science Society of America Journal</em> 69 (2): 549–62. <a href="https://doi.org/10.2136/sssaj2005.0549">https://doi.org/10.2136/sssaj2005.0549</a>.</div> <div>Asada, Taro, Barry G Warner, and Allen Banner. 2004. “<em>Sphagnum</em> Invasion After Clear-Cutting and Excavator Mounding in a Hypermaritime Forest of British Columbia.” <em>Canadian Journal of Forest Research</em> 34 (8): 1730–46. <a href="https://doi.org/10.1139/x04-042">https://doi.org/10.1139/x04-042</a>.</div> <div>Bartsch, I., and T. R. Moore. 1985. “A Preliminary Investigation of Primary Production and Decomposition in Four Peatlands Near Schefferville, Québec.” <em>Canadian Journal of Botany</em> 63 (7): 1241–48. <a href="https://doi.org/10.1139/b85-171">https://doi.org/10.1139/b85-171</a>.</div> <div>Bengtsson, Fia, Gustaf Granath, and Håkan Rydin. 2016. “Photosynthesis, Growth, and Decay Traits in <em>Sphagnum</em> – a Multispecies Comparison.” <em>Ecology and Evolution</em> 6 (10): 3325–41. <a href="https://doi.org/10.1002/ece3.2119">https://doi.org/10.1002/ece3.2119</a>.</div> <div>———. 2017. “Data from: Photosynthesis, Growth, and Decay Traits in <em>Sphagnum</em> – a Multispecies Comparison.” Dryad. <a href="https://doi.org/10.5061/DRYAD.62054">https://doi.org/10.5061/DRYAD.62054</a>.</div> <div>Bengtsson, Fia, Håkan Rydin, and Tomáš Hájek. 2018a. “Data from: Biochemical Determinants of Litter Quality in 15 Species of <em>Sphagnum</em>.” Dryad. <a href="https://doi.org/10.5061/DRYAD.4F8D2">https://doi.org/10.5061/DRYAD.4F8D2</a>.</div> <div>———. 2018b. “Biochemical Determinants of Litter Quality in 15 Species of <em>Sphagnum</em>.” <em>Plant and Soil</em> 425 (1-2): 161–76. <a href="https://doi.org/10.1007/s11104-018-3579-8">https://doi.org/10.1007/s11104-018-3579-8</a>.</div> <div>Bona, Kelly Ann, Arlene Hilger, Magdalena Burgess, Nicole Wozney, and Cindy Shaw. 2018. “A Peatland Productivity and Decomposition Parameter Database.” <em>Ecology</em> 99 (10): 2406–6. <a href="https://doi.org/10.1002/ecy.2462">https://doi.org/10.1002/ecy.2462</a>.</div> <div>Bragazza, Luca, and Paola Iacumin. 2009. “Seasonal Variation in Carbon Isotopic Composition of Bog Plant Litter During 3 Years of Field Decomposition.” <em>Biology and Fertility of Soils</em> 46 (1): 73–77. <a href="https://doi.org/10.1007/s00374-009-0406-7">https://doi.org/10.1007/s00374-009-0406-7</a>.</div> <div>Breeuwer, Angela, Monique Heijmans, Bjorn J. M. Robroek, Juul Limpens, and Frank Berendse. 2008. “The Effect of Increased Temperature and Nitrogen Deposition on Decomposition in Bogs.” <em>Oikos</em> 117 (8): 1258–68. <a href="https://doi.org/10.1111/j.0030-1299.2008.16518.x">https://doi.org/10.1111/j.0030-1299.2008.16518.x</a>.</div> <div>Farrish, K. W., and D. F. Grigal. 1985. “Mass Loss in a Forested Bog: Relation to Hummock and Hollow Microrelief.” <em>Canadian Journal of Soil Science</em> 65 (2): 375–78. <a href="https://doi.org/10.4141/cjss85-042">https://doi.org/10.4141/cjss85-042</a>.</div> <div>———. 1988. “Decomposition in an Omrotrophic Bog and a Minerotrophic Fen in Minnesota.” <em>Soil Science</em> 145 (5): 353–58. <a href="https://doi.org/10.1097/00010694-198805000-00005">https://doi.org/10.1097/00010694-198805000-00005</a>.</div> <div>Golovatskaya, E. A., and L. G. Nikonova. 2017. “The Influence of the Bog Water Level on the Transformation of Sphagnum Mosses in Peat Soils of Oligotrophic Bogs.” <em>Eurasian Soil Science</em> 50 (5): 580–88. <a href="https://doi.org/10.1134/S1064229317030036">https://doi.org/10.1134/S1064229317030036</a>.</div> <div>Hagemann, Ulrike, and Martin T. Moroni. 2015. “Moss and Lichen Decomposition in Old-Growth and Harvested High-Boreal Forests Estimated Using the Litterbag and Minicontainer Methods.” <em>Soil Biology and Biochemistry</em> 87 (August): 10–24. <a href="https://doi.org/10.1016/j.soilbio.2015.04.002">https://doi.org/10.1016/j.soilbio.2015.04.002</a>.</div> <div>———. 2016. “Data on Moss and Lichen Decomposition Rates and Nutrient Loss from Old-Growth and Harvested High-Boreal Forests Estimated Using the Litterbag and Minicontainer Methods.” Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e.V. <a href="https://doi.org/10.4228/ZALF.2007.290">https://doi.org/10.4228/ZALF.2007.290</a>.</div> <div>Hiroki, Mikiya, and Makoto M. Watanabe. 1996. “Microbial Community and Rate of Cellulose Decomposition in Peat Soils in a Mire.” <em>Soil Science and Plant Nutrition</em> 42 (4): 893–903. <a href="https://doi.org/10.1080/00380768.1996.10416636">https://doi.org/10.1080/00380768.1996.10416636</a>.</div> <div>Hogg, Edward H., Victor J. Lieffers, and Ross W. Wein. 1992. “Potential Carbon Losses from Peat Profiles: Effects of Temperature, Drought Cycles, and Fire.” <em>Ecological Applications</em> 2 (3): 298–306. <a href="https://doi.org/10.2307/1941863">https://doi.org/10.2307/1941863</a>.</div> <div>Hoorens, Bart, Martin Stroetenga, and Rien Aerts. 2010. “Litter Mixture Interactions at the Level of Plant Functional Types Are Additive.” <em>Ecosystems</em> 13 (1): 90–98. <a href="https://doi.org/10.1007/s10021-009-9301-1">https://doi.org/10.1007/s10021-009-9301-1</a>.</div> <div>Johnson, Loretta C., and Antoni W. H. Damman. 1991. “Species-Controlled <em>Sphagnum</em> Decay on a South Swedish Raised Bog.” <em>Oikos</em> 61 (2): 234. <a href="https://doi.org/10.2307/3545341">https://doi.org/10.2307/3545341</a>.</div> <div>Jones, Matthew, Margaret O’Brien, Bryce Mecum, Carl Boettiger, Mark Schildhauer, Mitchell Maier, Timothy Whiteaker, Stevan Earl, and Steven Chong. 2019. “Ecological Metadata Language Version 2.2.0.” KNB Data Repository. <a href="https://doi.org/10.5063/f11834t2">https://doi.org/10.5063/f11834t2</a>.</div> <div>Lieffers, V. J. 1988. “<em>Sphagnum</em> and Cellulose Decomosition in Drained and Natural Areas of an Alberta Peatland.” <em>Canadian Journal of Soil Science</em> 68 (4): 755–61. <a href="https://doi.org/10.4141/cjss88-073">https://doi.org/10.4141/cjss88-073</a>.</div> <div>Limpens, Juul, and Frank Berendse. 2003. “How Litter Quality Affects Mass Loss and N Loss from Decomposing <em>Sphagnum</em>.” <em>Oikos</em> 103 (3): 537–47. <a href="https://doi.org/10.1034/j.1600-0706.2003.12707.x">https://doi.org/10.1034/j.1600-0706.2003.12707.x</a>.</div> <div>Mäkilä, M., H. Säävuori, A. Grundström, and T. Suomi. 2018. “<em>Sphagnum</em> Decay Patterns and Bog Microtopography in South-Eastern Finland.” <em>Mires and Peat</em>, no. 21 (July): 1–12. <a href="https://doi.org/10.19189/MaP.2017.OMB.283">https://doi.org/10.19189/MaP.2017.OMB.283</a>.</div> <div>Manninen, S., S. Kivimäki, I. D. Leith, S. R. Leeson, and L. J. Sheppard. 2016. “Nitrogen Deposition Does Not Enhance <em>Sphagnum</em> Decomposition.” <em>Science of The Total Environment</em> 571 (November): 314–22. <a href="https://doi.org/10.1016/j.scitotenv.2016.07.152">https://doi.org/10.1016/j.scitotenv.2016.07.152</a>.</div> <div>Müller, Kirill, Jeroen Ooms, David James, Saikat DebRoy, Hadley Wickham, and Jeffrey Horner. 2021. “RMariaDB: Database Interface and ’MariaDB’ Driver.”</div> <div>Orwin, Kate H., and Nicholas J. Ostle. 2012. “Moss Species Effects on Peatland Carbon Cycling After Fire: Moss Species Effects on C Cycling After Fire.” <em>Functional Ecology</em> 26 (4): 829–36. <a href="https://doi.org/10.1111/j.1365-2435.2012.01991.x">https://doi.org/10.1111/j.1365-2435.2012.01991.x</a>.</div> <div>Piatkowski, Bryan T., Joseph B. Yavitt, Merritt R. Turetsky, and A. Jonathan Shaw. 2021. “Natural Selection on a Carbon Cycling Trait Drives Ecosystem Engineering by <em>Sphagnum</em> (Peat Moss).” <em>Proceedings of the Royal Society B: Biological Sciences</em> 288 (1957): 20210609. <a href="https://doi.org/10.1098/rspb.2021.0609">https://doi.org/10.1098/rspb.2021.0609</a>.</div> <div>Piatkowski, Bryan, Joseph B. Yavitt, Merritt Turetsky, and A. Jonathan Shaw. 2021. “Online Data for "Natural Selection on a Carbon Cycling Trait Drives Ecosystem Engineering by <em>Sphagnum</em> (Peat Moss).",” August. <a href="https://doi.org/10.6084/m9.figshare.14109725.v2">https://doi.org/10.6084/m9.figshare.14109725.v2</a>.</div> <div>Pick, Joel L., Shinichi Nakagawa, and Daniel W. A. Noble. 2018. “Reproducible, Flexible and High-Throughput Data Extraction from Primary Literature: The metaDigitise <strong>R</strong> Package.” <a href="https://doi.org/10.1101/247775">https://doi.org/10.1101/247775</a>.</div> <div>Prevost, Marcel, Pierre Belleau, and André P. Plamondon. 1997. “Substrate Conditions in a Treed Peatland: Responses to Drainage.” <em>Écoscience</em> 4 (4): 543–54. <a href="https://doi.org/10.1080/11956860.1997.11682434">https://doi.org/10.1080/11956860.1997.11682434</a>.</div> <div>R Core Team. 2022. <em>R: A Language and Environment for Statistical Computing</em>. Manual. Vienna, Austria: R Foundation for Statistical Computing.</div> <div>Sanger, L. J., M. F. Billett, and M. S. Cresser. 1994. “The Effects of Acidity on Carbon Fluxes from Ombrotrophic Peat.” <em>Chemistry and Ecology</em> 8 (4): 249–64. <a href="https://doi.org/10.1080/02757549408038552">https://doi.org/10.1080/02757549408038552</a>.</div> <div>Scheffer, R. A., R. S. P Van Logtestijn, and J. T. A. Verhoeven. 2001. “Decomposition of <em>Carex</em> and <em>Sphagnum</em> Litter in Two Mesotrophic Fens Differing in Dominant Plant Species.” <em>Oikos</em> 92 (1): 44–54. <a href="https://doi.org/10.1034/j.1600-0706.2001.920106.x">https://doi.org/10.1034/j.1600-0706.2001.920106.x</a>.</div> <div>Scheffer, Robbert A., and Rien Aerts. 2000. “Root Decomposition and Soil Nutrient and Carbon Cycling in Two Temperate Fen Ecosystems.” <em>Oikos</em> 91 (3): 541–49. <a href="https://doi.org/10.1034/j.1600-0706.2000.910316.x">https://doi.org/10.1034/j.1600-0706.2000.910316.x</a>.</div> <div>Schieferdecker, Tobias, Kirill Müller, and Darko Bergant. 2022. “dm: Relational Data Models.”</div> <div>Straková, Petra, Jani Anttila, Peter Spetz, Veikko Kitunen, Tarja Tapanila, and Raija Laiho. 2010. “Litter Quality and Its Response to Water Level Drawdown in Boreal Peatlands at Plant Species and Community Level.” <em>Plant and Soil</em> 335 (1-2): 501–20. <a href="https://doi.org/10.1007/s11104-010-0447-6">https://doi.org/10.1007/s11104-010-0447-6</a>.</div> <div>Straková, Petra, Timo Penttilä, Jukka Laine, and Raija Laiho. 2012. “Disentangling Direct and Indirect Effects of Water Table Drawdown on Above- and Belowground Plant Litter Decomposition: Consequences for Accumulation of Organic Matter in Boreal Peatlands.” <em>Global Change Biology</em> 18 (1): 322–35. <a href="https://doi.org/10.1111/j.1365-2486.2011.02503.x">https://doi.org/10.1111/j.1365-2486.2011.02503.x</a>.</div> <div>Szumigalski, Anthony R., and Suzanne E. Bayley. 1996. “Decomposition Along a Bog to Rich Fen Gradient in Central Alberta, Canada.” <em>Canadian Journal of Botany</em> 74 (4): 573–81. <a href="https://doi.org/10.1139/b96-073">https://doi.org/10.1139/b96-073</a>.</div> <div>Teickner, Henning, and Klaus-Holger Knorr. 2024. “dpeatdecomposition: R Interface to the Peatland Decomposition Database.”</div> <div>Thormann, Markus N, Suzanne E Bayley, and Randolph S Currah. 2001. “Comparison of Decomposition of Belowground and Aboveground Plant Litters in Peatlands of Boreal Alberta, Canada.” <em>Canadian Journal of Botany</em> 79 (1): 9–22. <a href="https://doi.org/10.1139/b00-138">https://doi.org/10.1139/b00-138</a>.</div> <div>Trinder, Clare J., David Johnson, and Rebekka R. E. Artz. 2008. “Interactions Among Fungal Community Structure, Litter Decomposition and Depth of Water Table in a Cutover Peatland.” <em>FEMS Microbiology Ecology</em> 64 (3): 433–48. <a href="https://doi.org/10.1111/j.1574-6941.2008.00487.x">https://doi.org/10.1111/j.1574-6941.2008.00487.x</a>.</div> <div>———. 2009. “Litter Type, but Not Plant Cover, Regulates Initial Litter Decomposition and Fungal Community Structure in a Recolonising Cutover Peatland.” <em>Soil Biology and Biochemistry</em> 41 (3): 651–55. <a href="https://doi.org/10.1016/j.soilbio.2008.12.006">https://doi.org/10.1016/j.soilbio.2008.12.006</a>.</div> <div>Vitt, Dale H. 1990. “Growth and Production Dynamics of Boreal Mosses over Climatic, Chemical and Topographic Gradients.” <em>Botanical Journal of the Linnean Society</em> 104 (1-3): 35–59. <a href="https://doi.org/10.1111/j.1095-8339.1990.tb02210.x">https://doi.org/10.1111/j.1095-8339.1990.tb02210.x</a>.</div> <div>Waddington, J. M., L. Rochefort, and S. Campeau. 2003. “<em>Sphagnum</em> Production and Decomposition in a Restored Cutover Peatland.” <em>Wetlands Ecology and Management</em> 11 (1): 85–95. <a href="https://doi.org/10.1023/A:1022009621693">https://doi.org/10.1023/A:1022009621693</a>.</div> </div> </div> </div> </div> </div>
Data related to "Emissions of atmospherically reactive gases nitrous acid and nitric oxide from arctic permafrost peatlands"
<p>The data file contains the individual (each replicate) values of the soil variables and gas fluxes obtained from the study. It contains data shown in the both main text and supplementary files. </p>
Soil-meteorological dataset collected at La Guette peatland (23 ha, Loiret, France)
<p>Data of meteorological and soil physics measured on La Guette peatland in two stations (lgt/bm1 and lgt/bm2). Measurements start on 12-10-2010 and are regularly updated with new data. The measured parameters are: Air temperature (°C), Air pressure (mbar), Precipitation (mm), Relative humidity (%), ShortWave/LongWave outgoing/incoming radiation (W/m2), Photosynthetic photon flux density incoming (μmol/m2/s), Wind direction (°), Wind speed (m/s), Soil temperature (°C), Soil water content (%) and Soil heat flux (W/m2).</p> <p>Zip file contain :</p> <ul> <li>metadata file (TOUR_en.json) which describe stations, sensors, variables and process</li> <li>csv file contain time series data for all variables by station</li> </ul> <p>Additional information on the measurement can be found in this website : <a href="https://data-snot.cnrs.fr/data-access/">https://data-snot.cnrs.fr/data-access/</a></p> <p>We also recommend to contact sno-tourbieres to talk about data acquisition and use : <a href="mailto:contact.sno-tourbieres@cnrs-orleans.fr">contact.sno-tourbieres@cnrs-orleans.fr</a></p>
Carbon and energy Eddy-covariance fluxes dataset collected at La Guette peatland (23 ha, Loiret, France)
<p>Fluxes and energy data measured by Eddy-covariance on La Guette peatland (ec1). Measurements start on 20-01-2017 and are regularly updated with new data. Data include carbon dioxide fluxes (CO2, µmol/m²/s), methane fluxes (CH4, µmol/m²/s), sensible heat fluxes (H, W/m²), latent heat fluxes (LE, W/m²) and evapotranspiration (ETR, mm/h).</p> <p>Zip file contain :</p> <ul> <li>metadata file (TOUR_en.json) which describe stations, sensors, variables and process</li> <li>csv file contain time series data for all variables by station</li> </ul> <p>Additional information on the measurement can be found in this website : <a href="https://data-snot.cnrs.fr/data-access/">https://data-snot.cnrs.fr/data-access/</a></p> <p>We also recommend to contact sno-tourbieres to talk about data acquisition and use : <a href="mailto:contact.sno-tourbieres@cnrs-orleans.fr">contact.sno-tourbieres@cnrs-orleans.fr</a></p>
Carbon and energy Eddy-covariance fluxes dataset collected at Frasne peatland (192ha, Jura Mountains, France)
<p>luxes and energy data measured by Eddy-covariance at Frasne peatland (ec1). Measurements start on 20-07-2018 and are regularly updated with new data. Data include carbon dioxide fluxes (CO2, µmol/m²/s), methane fluxes (CH4, µmol/m²/s), sensible heat fluxes (H, W/m²), latent heat fluxes (LE, W/m²) and evapotranspiration (ETR, mm/h).</p> <p>Zip file contain :</p> <ul> <li>metadata file (TOUR_en.json) which describe stations, sensors, variables and process</li> <li>csv file contain time series data for all variables by station</li> </ul> <p>Additional information on the measurement can be found in this website : <a href="https://data-snot.cnrs.fr/data-access/">https://data-snot.cnrs.fr/data-access/</a></p> <p>We also recommend to contact sno-tourbieres to talk about data acquisition and use : <a href="mailto:contact.sno-tourbieres@cnrs-orleans.fr">contact.sno-tourbieres@cnrs-orleans.fr</a></p>
Dataset: Consistent release of volatile organic compounds across an actively degrading permafrost peatland
<p>Here, we conducted in situ measurements of soil and pond VOC emissions across an actively degrading permafrost peatland in subarctic Norway. We used a permafrost thaw gradient that covered bare soil and vegetated palsa plateaus, underlain by intact permafrost, and increasingly degraded permafrost landscapes: thaw slumps, thaw ponds, and vegetated thaw ponds.</p> <p>This dataset includes two excel files: 1) the first one "Finnmark_source_data" is the source data for figures in the publication <a href="https://doi.org/10.1016/j.geoderma.2023.116355">https://doi.org/10.1016/j.geoderma.2023.116355</a>. ii) the second one "Rawdata_of_emission_rate" is the emission rate of the 210 VOC species identified in this study.</p> <p>Results showed that every peatland landscape type was an important and consistent source of atmospheric VOCs, with a large variety species, such as methanol, acetone, monoterpenes, sesquiterpenes, isoprene, hydrocarbons, oxygenated VOCs, etc. VOC composition varied considerably across the measurement period and across the permafrost thaw gradient. We observed enhanced terpenoid emissions following thaw slump degradation, highlighting the potential atmospheric impact of permafrost thaw, due to the high chemical reactivities of terpenoid compounds. Overall, our study demonstrates that VOCs are being emitted in significant quantities and with largely similar composition upon permafrost thawing, inundation, and subsequent vegetation development, despite major differences in microclimate, hydrological regime, vegetation, and permafrost occurrence.</p> <p>Should you have any questions regarding the dataset, please free feel to contact Yi jiao at yi.jiao@bio.ku.dk or the PI of this project Prof. Rinnan at riikkar@bio.ku.dk</p>
Biogeochemical distinctiveness of peatland ponds, thermokarst waterbodies and lakes
<p>This archive entry contains the original dataset used in the manuscript "Biogeochemical distinctiveness of peatland ponds, thermokarst waterbodies and lakes" as a CSV file (Arsenault-et-al_All.csv). The dataset is a global synthesis of the biogeochemical properties of lakes, peatland ponds and thermokarst waterbodies. It comprises a total of 12,475 observations (11,357 lakes worldwide, 827 thermokarst waterbodies from the Arctic circumpolar and the Himalaya regions and 291 peatland ponds from North America, Europe and Patagonia, from published and unpublished sources). The entry also includes subsets of the main dataset used to performed statistical analyses to compare and distinguish the biogeochemical properties of lakes, peatland ponds and thermokarst waterbodies (see file Tables_Statistical-analyses.pdf for details).</p> <p>The archive entry also contains the list of references from which we built the dataset, as a TXT file.</p>
Peatland maps and wetland GHG emission factors
<p>The data set includes maps of degraded (~46 Mha globally) and intact peatland (~375 Mha globally) for the year 2015. The spatial resolution is 0.5 degree. The data set also includes IPCC wetland GHG emission factors for degraded and rewetted peatlands.</p> <p>This dataset has been published originally as supplementary data set in </p> <p>Humpenöder, F., Karstens, K., Lotze-Campen, H., Leifeld, J., Menichetti, L., Barthelmes, A., and Popp, A. (2020). Peatland protection and restoration are key for climate change mitigation. Environ. Res. Lett. <em>15</em>, 104093. DOI <a href="https://10.1088/1748-9326/abae2a">10.1088/1748-9326/abae2a</a>.</p> <p> </p>
Warming response of peatland CO2 sink is sensitive to seasonality in warming trends
<p>Monthly peatland net ecosystem CO2 exchange derived with the eddy covariance technique and ancillary measurements.</p>
Partial cutting of a boreal nutrient-rich peatland forest causes radically less on-site CO2 emissions than clear-cutting
<p>This package contains the data used in the research article: "Partial cutting of a boreal nutrient-rich peatland forest causes radically less on-site CO2 emissions than clear-cutting" published in Agricultural and Forest Meteorology.</p> <p>LAI_data.xlsx - Contains Leaf Area Index data and their standard deviations for all the measured areas</p> <p>WTL_data.csv - Contains the mean water table level data for pre-harvest, partial harvest and clearcut areas.</p> <p>Lettosuo_2010-2015_Section_A_fluxes.csv - Contains the pre-harvest (2010-2015) carbon flux data for Section A.</p> <p>Lettosuo_2010-2015_Section_BCD_fluxes.csv - Contains the pre-harvest carbon flux data for Section BCD.</p> <p>Lettosuo_2016-2021_Section_AB_(partialcut).csv - Contains the carbon flux data for the partial cut area (2016-2021, Section AB).</p> <p>Lettosuo_2016-2021_Section_D_(Clearcut).csv - Contains the carbon flux data for the clear-cut area (2016-2021, Section D)</p> <p>The carbon flux data files contain the following columns:</p> <p>Gapfilled PAR - Gapfilled photsynthetically active radiation</p> <p>Gapfilled air temperature - Gapfilled air temperature</p> <p>Measured NEE - Filtered NEE data</p> <p>Modelled TER - Modelled total ecosystem respiration</p> <p>Modelled GPP - Modelled gross primary production</p> <p>Modelled NEE - Modelled NEE calculated from the modelled TER and GPP</p> <p>Gapfilled NEE - A combination of measured and modelled NEE. Gaps in the measured data are filled with modelled NEE</p> <p>Modelling uncertainty - Uncertainty of the modelled NEE</p> <p>Measurement uncertainty - An estimation of the uncertainty of the measured NEE</p>
Datasets-A globally robust relationship between water table decline, subsidence rate and carbon release from peatlands
<p>Supplementary Data A shows meta-data for in-situ and laboratory measurements of soil respiration or its components soil heterotrophic respiration and autotrophic respiration, as well as associated environmental variables from global pristine peatlands and water table decline peatlands, respectively.</p> <p> </p> <p>Supplementary Data B shows the relationships between peatland subsidence rates and drainage years for different land uses in different climate zones, relationships between proportion of peatland subsidence rates due to oxidation and drainage years for different land uses in different climate zones, the estimated peat subsidence rates and peat subsidence rates due to oxidation, the synthesized soil organic carbon content and soil bulk density at the layer of 0-30 cm from pristine peatlands, and the in-situ measured annual soil heterotrophic respiration rates for validating the robustness of the developed emipirical models of this study. </p>
Costs of Peatland Restoration in Scotland: Data underpinning MACC analysis
<p>A dataset containing anonymised records outlining the costs of a selection of<span> </span>peatland restoration projects in Scotland that have been granted funding by NatureScot since 2016, merged with a set of environmental/geographic variables. These data in turn are used for underpinning the marginal abatement curve (MACC) analysis as a basis of a spatial cost prediction model for potential restoration of degraded peatland in Scotland. The observations in the database represent individual restored sites and the total costs are on a per hectare basis. The variables capture location, spatial dimensions, meteorological conditions, peat conditions, land cover, use and designation specific for each site. The information has been sourced from various publicly accessible domains, namely the Met Office, James Hutton Institute, Centre from Ecology and Hydrology, Ordnance Survey, NatureScot and Centre for Environmental Data Analysis. </p> <p><span> </span></p>
Figs 36–41 in Eniochthonius Mahunkai Sp. N. (Acari: Oribatida: Eniochthoniidae), From North American Peatlands, With A Redescription Of Eniochthonius And A Key To North American Species
Figs 36–41. Eniochthonius mahunkai sp. n., immatures: 36 = larva, dorsal aspect; 37 = same, ventral aspect (specimen contracted, legs incomplete); 38 = opisthosomal venter of distended larva (adapted from GRANDJEAN 1933), contrasting presence of inguinal seta h4 in E. mahunkai (left side) with its absence in E. minutissmus (right side); 39 = tritonymph, dorsal aspect; 40 = same, ventral aspect (legs incomplete; apa = anterior porose area); 41 = schematic dorsal view of left tarsi III (top) and IV (bottom) at instars indicated, anterior (') face to right, distal at top (La = larva, Pn = protonymph, Ad = adult); setal insertions indicated by circles: black = dorsal position, visible directly (half-circles are lateral); dotted = ventral position, by transparency). Scale bars: 50 µm (36–37, 39–40), 10 µm (38).
Figs 29–35 in Eniochthonius Mahunkai Sp. N. (Acari: Oribatida: Eniochthoniidae), From North American Peatlands, With A Redescription Of Eniochthonius And A Key To North American Species
Figs 29–35. Eniochthonius mahunkai sp. n., adult: 29 = bothridium, optical section (arrowhead indicates spiculated inner chamber); 30 = anterior region of isolated suprapleural plate (sp) and pleural region of notogaster (pl), lateral aspect (cf. Fig. 2), showing taenidium (t) curving ventrad (* and IV mark approximate positions of postpedal fossa on aggenital plate and leg IV insertion, respectively); 31 = taenidium (t) and fossa (fo) on left side, showing curved alignment seen by transparency on dorsally positioned, slightly flattened specimen (III = leg III, * marks approximate level of section in Fig. 32); 32 = frontal section through notogastral taenidium and porose area (t = taenidium, sa = sternal apodeme of epimere III, tr III = trochanter III, arrow marks open slot of taenidium); 33 = notogastral taenidium and porose area, lateral aspect (cf. Fig. 30), at three progressively deeper focal planes (arrowhead indicates lyrifissure ia); 34 = posterodorsal corner of subcapitulum, lateral aspect, showing forked postpalpal seta (P = femur of palp, arrowhead indicates cylindrical stalk on which seta inserts at strong angle); 35 = notogastral seta e1, showing fine barbs. All but Fig. 31 with differential contrast transmitted illumination; 30 and 34 layered images. Scale bars: 50 µm (30), 20 µm (31, 32), 10 µm
Figs 23–28 in Eniochthonius Mahunkai Sp. N. (Acari: Oribatida: Eniochthoniidae), From North American Peatlands, With A Redescription Of Eniochthonius And A Key To North American Species
Figs 23–28. Eniochthonius mahunkai sp. n., adult, lateral aspect of near-sagittal section, anterior to left: 23 = overview of section, with position of enlarged images marked by respective figure number in similar relative position (ch = chelicera, fb = food bolus, ov = ovipositor); 24 = dorsal sejugal region (sej = soft articulating cuticle, arrowhead indicates thickened cuticle behind which proterosoma narrows slightly to proximal "neck"); 25 = region of transverse sulcus, showing thickened cuticle and overlying chambered epicuticle (demineralized, marked with arrowhead); 26 = telescoping transverse scissure (type-L), showing tectum on pronotaspis (asterisks mark limits of sclerotized cuticle on respective plates; voluminous connecting soft cuticle not shown); 27 = ventral sejugal region (* marks cuticle of proximal "neck", exposed only in distended individuals); 28 = juncture of genital, preanal (pr) and anal plates (aa = anal apodeme; gp = posterior genital papilla). Scale bar: 50 µm (23),
Figs 19–22 in Eniochthonius Mahunkai Sp. N. (Acari: Oribatida: Eniochthoniidae), From North American Peatlands, With A Redescription Of Eniochthonius And A Key To North American Species
Figs 19–22. Eniochthonius mahunkai sp. n., adult: 19 = ventral habitus; 20 = subcapitulum and vicinity, ventral aspect (white arrowhead indicates fused pair of ultimal setae, * marks groove separating gena and mentum); 21 = coxisternum and vicinity, ventral aspect; 22 = anogenital region and adjacent notogaster (AD, AN indicate adanal and anal valves, respectively; G marks position of narrow transverse band of unsclerotized procuticle that divides genital plate). Scale bars: 50 µm (19), 10 µm
Figs 12–18 in Eniochthonius Mahunkai Sp. N. (Acari: Oribatida: Eniochthoniidae), From North American Peatlands, With A Redescription Of Eniochthonius And A Key To North American Species
Figs 12–18. Eniochthonius mahunkai sp. n., adult: 12 = dorsal habitus; 13 = bothridial seta (bo) and sejugal region, dorsolateral aspect; 14 = rostrum and distal region of subcapitulum, lateral aspect; 15 = proterosoma, partial anterior view; 16 = genital region in polarized transmitted light (* marks location of different mineralization pattern covering narrow transverse band of unsclerotized procuticle that divides genital plate); 17 = mineralization pattern on leg III; 18 = mineralization pattern in central notogaster, polarized light on left, unpolarized on right. Figs 12–15 scanning electron micro-
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.