LIFE+ PROGNOSES Organic Layer Sample Data
Authors/Creators
-
Vanhellemont, Margot
(Data curator)1
- Caggegi, Andrea (Data collector)2
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De Schrijver, Jonathan
(Data collector)1
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Di Filippo, Alfredo
(Project member)3
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Di Fiore, Luca
(Data collector)2
-
Esprit, Marc
(Data collector)1
- Fuxjäger, Christian (Data collector)4
-
Goessens, Stefaan
(Data collector)1
-
Hofmeister, Jeňýk
(Data collector)5
-
Meyer, Peter
(Project member)6
-
Moktan, Laxmi
(Data collector)5
-
Priori, Simone
(Data collector)3
- Schürhagel, Josef (Data collector)4
-
Svoboda, Miroslav
(Project member)7
-
Van de Kerckhove, Peter
(Data collector)1
-
Vandekerkhove, Kris
(Project member)1
- Wellhäuser, Julian (Data collector)6
-
Vanhaecht, Ruth
(Project manager)8
- Celis, Caroline (Project manager)8
-
1.
Research Institute for Nature and Forest
- 2. University of Tuscia
-
3.
Università degli Studi della Tuscia
- 4. Kalkalpen National Park
- 5. Czech University of Life Sciences Prague
-
6.
Nordwestdeutsche Forstliche Versuchsanstalt
- 7. Czech University of Life Sciences
- 8. Sonian Forest Foundation
Description
These files are part of the LIFE+ PROGNOSES project. More information about the project can be found on the website (https://lifeprognoses.eu/).
The main datafile is PROGNOSES_organiclayer_data.csv. This file contains the data of the organic layer samples collected in the field.
Accompanying files are:
- PROGNOSES_organiclayer_metadata.csv: explains the variables of PROGNOSES_organiclayer_data.csv
- PROGNOSES_organiclayer_README.txt: explains the project context, linkage to other files, data re-use
Disclaimer [adapted from Desmet P, Brosens D, Du Seuil D, Goossens B (2014) INBO norms for data use. Research Institute for Nature and Forest (INBO). http://www.inbo.be/en/norms-for-data-use]
- Cite your data sources. The researchers and technical personnel have invested a lot of time and effort in collecting, managing, and publishing the data you are using. They deserve credit for their work.
-
Do not use the data in any way that is unlawful, harmful, or misleading.
-
Understand that the datasets may be subject to change, errors, and sampling bias.
-
Read the metadata to better understand the scope and original intent of the dataset, thus reducing the risk of misinterpreting the data.
Additional details
Related works
- Is supplemented by
- Dataset: 10.5281/zenodo.15222896 (DOI)
- Requires
- Dataset: 10.5281/zenodo.15222514 (DOI)
- Dataset: 10.5281/zenodo.15222482 (DOI)