The ALFAM2 dataset on ammonia loss from field-applied manure

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Authors: Sasha Daniel Hafner, Fabrizio Adani, Shabtai Bittman, William E. Burchill, Wim Bussink, Marco Carozzi, O. T. Carton, Martin H. Chantigny, Dela Pierre, Flavia, Helmut Döhler, Sophie Génermont, Hannah Götze
+36 more Christoph Häni, Martin N. Hansen, J.F.M. Huijsmans, Derek Hunt, Nicholas John Hutchings, Jesper Nørlem Kamp, Thomas Küpper, Gary J. Lanigan, Benjamin Loubet, José Martínez, J. J. Meisinger, Harald Menzi, Tom H. Misselbrook, John Morken, A. Neftel, Fiona A. Nicholson, Tavs Nyord, Andreas Pacholski, BRIAN F. PAIN, Johanna Pedersen, Stefania Pindozzi, Lena K.K. Rodhe, Scotto di Perta, Ester, Jörg Sintermann, Ken Robert Smith, Sven Gjedde Sommer, Rodney B. Thomson, Laura Valli, Koen van Boheemen, Bert Vermeulen, Annette V. Vestergaard, Vilms Pedersen, Simon, Polina Voylokov, J. R. Williams, Massimo Zilio, Dela Pierre, Flavia
Cited by: 1

Abstract

The ALFAM2 database has measurements of ammonia volatilization (emission) from field-applied liquid animal manure (slurry). The dataset consists of two files: one with plot- (ALFAM2_plot.csv) and one with measurement interval-level (ALFAM2_interval.csv) observations. For information on file headers (column names), see the *-level_variables.csv files. The two data files can be merged on two plot keys (identification codes): pid and pmid. See the README.md file in the GitHub repository at https://github.com/sashahafner/ALFAM2-data, the web page https://projects.au.dk/alfam/ (or alfam.dk), and the reference and related identifiers here on the Zenodo page for more details. The ALFAM2-data GitHub repository also has original submissions from data contributors along with scripts necessary for processing the data to create the dataset shown here. Each Zenodo version can be matched to the GitHub versions through the release tags (see the releases page for a list: https://github.com/sashahafner/ALFAM2-data/releases)

Fields of Study & Subjects

Wastewater Treatment and Nitrogen Removal

Publication details

Journal / source
Socio-Environmental Systems Modeling
Publication date
10 March 2026
Language
EN
Document type
Dataset