Everybody who is author of a data set suitable for dpeatland (see next section) and has the agreement of any co-authors to share the data and to make them co-authors can contribute data.
Any data that provide information on peatland processes can be contributed. In particular, data from individual lab or field experiments or observational studies published or unpublished can be contributed.
This comprises for example:
Environmental conditions (air temperature, precipitation, photosynthtic active radiation, soil temperatures, water table levels, soil moistures, …).
Decomposition data (mass losses/mass remaining in litter bag studies, peat masses and ages, …).
Peat properties (physical properties, e.g. peat age, bulk density, loss on ignition, hydraulic conductivity, porosity, etc., and chemical properties, e.g. pH value, element contents, organic matter fractions, spectral data, etc.).
Other processes (e.g. biological N\(2\)-fixation rates, gross/net primary production, leaf senescence rates, leaching rates, …).
Macrofossil data and current vegetation.
Further suggestions welcome!
All data have to be licensed under a CC-BY 4.0 license (or comparative) because only under the conditions of this license, it is possible to use the data in a data compendium and to openly share the data compendium.
Go to the project’s GitHub repository and download the zip folder data_template.zip. This folder contains a set of csv/docx templates, where you can enter your data, and the data policy agreement for dpeatland. A detailed manual to fill in the data is provided below. Note that any data contributor must agree to the authorship guidelines for the data compendium
If you have questions, don’t hesitate to contact me!
If you submit your data before January 31, 2021, you send a request to become co-author of the data paper and you agree to the authorship guidelines for the data paper, you will not only becom co-author of the data compendium, but also of the corresponding data paper.
For organizing the data collection and developing the technical infrastructure, as well as providing some data, and because I need to include it into my PhD, I will be the first author. My supervisors will become last authors. All other contributors will be sorted in alphabetical order.
I will draft the paper and consider your data description during this process. Finally, I will request you to review the manuscript before submission.
Go to the project’s GitHub repository and download the zip folder data_template.zip. This folder contains a detailed manual and a set of csv/docx templates where you can enter your data.
The zip folder contains the following csv/docx/pdf files:
| file | description |
|---|---|
| general_info.csv | data set title, license, URL (if from a web source), DOI (if available), version (if available), year of creation, a statement how to cite the data, acknowledgments that have to be considered, keywords, abstract. |
| authors.csv | author information (names, affiliation, contact author). |
| description.docx | textual description of the site, methods, experimental manipulations, … |
| site_info.csv | Information on sampling sites (name, coordinates). |
| sample_data.csv | Data on peat/DOM/vegetation properties (for example peat age, N content, …). |
| environmental_data.csv | Data on environmental conditions (for example air tmeperature, precipitation, water table depth, soil temperature, …). |
| data_policy.pdf | The data policy agreement for this project. This is required since we collect your name, mail address and affiliation. |
Fill in the data policy agreement with your personal data. This is needed since we store your name and affiliation to generate the author list for the data compendium and to contact you. Note that as a data contributor, you also agree to the authorship guidelines for the data compendium.
Fill in the data! For the csv files, there is a detailed description of what the fields mean, what to enter and which measurement units to use (data dictionary):
Fill in general information regarding the data set you want to submit (general_info.csv).
Fill in information regarding all co-authors (authors.csv). This data will be used to create the author list and to contact each co-author.
Provide a description on the sample and data collection, handling and processing (description.docx). description.docx contains a detailed list of information you may provide. Please describe as many details as possible. The more information you provide the more useful the data will be in the future! You may also add figures, graphs, maps, … .
Enter data on the sampling sites where samples were collected (site_info.csv).
Enter metadata and measurement data on peat/DOM/vegetation samples (sample_data.csv). Don’t be scared by the many fields, I just want to encourage to provide as much information as possible. If you don’t have data for a specific field, skip it. For example if you want to enter a present aboveground vegetation sample, you probably will not enter any sampling depth or radiocarbon dating data. If you have data that does not fit in any field, you can provide it in an additional csv file with a separate description (for example paleovegetation data that is not considered in the template file).
Enter metadata and measurement data on environmental drivers (environmental_data.csv). [— todo: finish].
Enter metadata and measurement data on other processes (e.g. results from decomosition experiments, photosynthesis rates, net primary production, gas fluxes, …) (process_data.csv). [— todo: finish].
Put all files created or collected during steps 3.a to 3.g into a zip archive and send it to henning.teickner@uni-muenster.de. In the e-mail, indicate if you want to be also co-author of the data paper or only the data compendium. Make sure that you agree to the authorship guidelines for the data paper if you want to become co-author of it. That’s it!