Replication Data for: European fish producers’ willingness to pay to reduce negative externalities of fish production ...
The two datasets contain data collected from European fish producers as part of the H2020 project PrimeFish (grant No: 635761). One dataset contains data from Scottish and Norwegian producers of farmed salmon (Salmon). the other dataset contains data from cod fishers from Iceland and Norway (Cod) .....
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Online Access: | https://dx.doi.org/10.18710/sste5h https://dataverse.no/citation?persistentId=doi:10.18710/SSTE5H |
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ftdatacite:10.18710/sste5h 2023-11-05T03:42:51+01:00 Replication Data for: European fish producers’ willingness to pay to reduce negative externalities of fish production ... Aanesen, Margrethe 2019 https://dx.doi.org/10.18710/sste5h https://dataverse.no/citation?persistentId=doi:10.18710/SSTE5H unknown DataverseNO https://dx.doi.org/10.18710/sste5h/uypr8k https://dx.doi.org/10.18710/sste5h/ni1jkl https://dx.doi.org/10.18710/sste5h/z3ix0j https://dx.doi.org/10.18710/sste5h/2ziitd https://dx.doi.org/10.18710/sste5h/kxfscr https://dx.doi.org/10.18710/sste5h/iwokyu https://dx.doi.org/10.18710/sste5h/qnabmz https://dx.doi.org/10.18710/sste5h/lof1px https://dx.doi.org/10.18710/sste5h/iu9ezv Dataset dataset 2019 ftdatacite https://doi.org/10.18710/sste5h10.18710/sste5h/uypr8k10.18710/sste5h/ni1jkl10.18710/sste5h/z3ix0j10.18710/sste5h/2ziitd10.18710/sste5h/kxfscr10.18710/sste5h/iwokyu10.18710/sste5h/qnabmz10.18710/sste5h/lof1px10.18710/sste5h/iu9ezv 2023-10-09T11:09:16Z The two datasets contain data collected from European fish producers as part of the H2020 project PrimeFish (grant No: 635761). One dataset contains data from Scottish and Norwegian producers of farmed salmon (Salmon). the other dataset contains data from cod fishers from Iceland and Norway (Cod) ... Dataset Iceland DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
description |
The two datasets contain data collected from European fish producers as part of the H2020 project PrimeFish (grant No: 635761). One dataset contains data from Scottish and Norwegian producers of farmed salmon (Salmon). the other dataset contains data from cod fishers from Iceland and Norway (Cod) ... |
format |
Dataset |
author |
Aanesen, Margrethe |
spellingShingle |
Aanesen, Margrethe Replication Data for: European fish producers’ willingness to pay to reduce negative externalities of fish production ... |
author_facet |
Aanesen, Margrethe |
author_sort |
Aanesen, Margrethe |
title |
Replication Data for: European fish producers’ willingness to pay to reduce negative externalities of fish production ... |
title_short |
Replication Data for: European fish producers’ willingness to pay to reduce negative externalities of fish production ... |
title_full |
Replication Data for: European fish producers’ willingness to pay to reduce negative externalities of fish production ... |
title_fullStr |
Replication Data for: European fish producers’ willingness to pay to reduce negative externalities of fish production ... |
title_full_unstemmed |
Replication Data for: European fish producers’ willingness to pay to reduce negative externalities of fish production ... |
title_sort |
replication data for: european fish producers’ willingness to pay to reduce negative externalities of fish production ... |
publisher |
DataverseNO |
publishDate |
2019 |
url |
https://dx.doi.org/10.18710/sste5h https://dataverse.no/citation?persistentId=doi:10.18710/SSTE5H |
genre |
Iceland |
genre_facet |
Iceland |
op_relation |
https://dx.doi.org/10.18710/sste5h/uypr8k https://dx.doi.org/10.18710/sste5h/ni1jkl https://dx.doi.org/10.18710/sste5h/z3ix0j https://dx.doi.org/10.18710/sste5h/2ziitd https://dx.doi.org/10.18710/sste5h/kxfscr https://dx.doi.org/10.18710/sste5h/iwokyu https://dx.doi.org/10.18710/sste5h/qnabmz https://dx.doi.org/10.18710/sste5h/lof1px https://dx.doi.org/10.18710/sste5h/iu9ezv |
op_doi |
https://doi.org/10.18710/sste5h10.18710/sste5h/uypr8k10.18710/sste5h/ni1jkl10.18710/sste5h/z3ix0j10.18710/sste5h/2ziitd10.18710/sste5h/kxfscr10.18710/sste5h/iwokyu10.18710/sste5h/qnabmz10.18710/sste5h/lof1px10.18710/sste5h/iu9ezv |
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1781700388986028032 |