University of Padua

Full-mechanized CTL production data in Scots pine forest in Poland

Grigolato, Stefano and Cadei, Alberto (2022) Full-mechanized CTL production data in Scots pine forest in Poland. [Data Collection]

Collection description

Dataset related to two harvesters and two forwarders machine working in Scots pine forest in Poland. the dataset consider a period of 18 months including machine engine parameters, STANFORD data and forest stand information. Data were acquired in the frame of CARE4C - Carbon smart forestry under climate change - H2020-MSCA-RISE-2017 Grant Agreement Number 778322.

DOI: 10.25430/researchdata.cab.unipd.it.00000659
Keywords: Efficiency; Fuel consumption; Poland; Cut-to-Length; Forest mechanization; Forestry
Subjects: Life Sciences > Applied Life Sciences, Biotechnology and Molecular and Biosystems engineering: Applied plant and animal sciences; forestry; food sciences; applied biotechnology; environmental, and marine biotechnology; applied bioengineering; biomass, biofuels; biohazard > Biomass production and utilisation, biofuels
Department: Departments > Dipartimento di Territorio e sistemi agro-forestali (TESAF)
Depositing User: Stefano Grigolato
Date Deposited: 15 Jul 2022 07:01
Last Modified: 15 Jul 2022 07:01
Creators/Authors:
CreatorsEmailORCID
Grigolato, Stefanostefano.grigolato@unipd.itorcid.org/0000-0002-2089-3892
Cadei, Albertoalberto.cadei@phd.unipd.itorcid.org/0000-0002-4565-6041
Type of data: Text
Contributors:
ContributionNameEmail
AuthorMoskalik, Ttadeusz.moskalik@wl.sggw.pl
AuthorBacescu, M.N.narcismihail.bacescu@phd.unipd.it
AuthorWisniewski, M.mateusz.wisniewski@katowice.lasy.gov.pl
AuthorUNSPECIFIEDUNSPECIFIED
Research funder: European Commission
Research project title: Care4C
Grant number: 778322
Collection period:
FromTo
1 September 201831 January 2020
Geographic coverage: Katowice Poland
Data collection method: Through JD-link of John-Deere
Resource language: English
Metadata language: English
Publisher: Research Data Unipd
Date: 3 July 2022
Copyright holders: The Author
Last Modified: 15 Jul 2022 07:01
URI: https://researchdata.cab.unipd.it/id/eprint/659

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