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An open dataset about georeferenced harmonized national agricultural censuses and surveys of seven mediterranean countries
The dataset presented in this paper is based on data gathered from several countries within the West Mediterranean area at the highest detailed scale regarding official statistics, with the aim of investigating land and food systems dynamics in the Mediterranean. Characterizing land and food systems...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6880016/ https://www.ncbi.nlm.nih.gov/pubmed/31788512 http://dx.doi.org/10.1016/j.dib.2019.104774 |
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author | Villani, Ricardo Sabbatini, Tiziana Perez, Olga Moreno Guiomar, Nuno Debolini, Marta |
author_facet | Villani, Ricardo Sabbatini, Tiziana Perez, Olga Moreno Guiomar, Nuno Debolini, Marta |
author_sort | Villani, Ricardo |
collection | PubMed |
description | The dataset presented in this paper is based on data gathered from several countries within the West Mediterranean area at the highest detailed scale regarding official statistics, with the aim of investigating land and food systems dynamics in the Mediterranean. Characterizing land and food systems dynamics is critical to reveal insights regarding interactions between current dynamics of agricultural practices, species diversity and local food systems. These interactions were analyzed, at multiple spatial scales, on a large part of the Mediterranean basin within the DIVERCROP Project (https://divercropblog.wordpress.com/). An harmonized dataset with the desired characteristics was not readily available from official sources and, therefore, it was necessary to build an ad hoc database that could: (1) cover the Mediterranean areas of seven countries, namely Algeria (DZ), France (FR), Italy (IT), Malta (MT), Portugal (PT), Spain (ES) and Tunisia (TN); (2) contain data referred to the most disaggregated level of administrative units for which data is available in each country; (3) contain data referred to at least two time points, including the latest available data, in each country; (4) contain data on number of farm holdings, on the physical areas covered by the main annual and permanent crops and on livestock (number of heads); (5) contain a primary key that allows joining the census and surveys database to a geographical dataset of administrative units covering the entire area; (6) have an associated complete geographical dataset of administrative units, to allow spatial data analyses. |
format | Online Article Text |
id | pubmed-6880016 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-68800162019-11-29 An open dataset about georeferenced harmonized national agricultural censuses and surveys of seven mediterranean countries Villani, Ricardo Sabbatini, Tiziana Perez, Olga Moreno Guiomar, Nuno Debolini, Marta Data Brief Agricultural and Biological Science The dataset presented in this paper is based on data gathered from several countries within the West Mediterranean area at the highest detailed scale regarding official statistics, with the aim of investigating land and food systems dynamics in the Mediterranean. Characterizing land and food systems dynamics is critical to reveal insights regarding interactions between current dynamics of agricultural practices, species diversity and local food systems. These interactions were analyzed, at multiple spatial scales, on a large part of the Mediterranean basin within the DIVERCROP Project (https://divercropblog.wordpress.com/). An harmonized dataset with the desired characteristics was not readily available from official sources and, therefore, it was necessary to build an ad hoc database that could: (1) cover the Mediterranean areas of seven countries, namely Algeria (DZ), France (FR), Italy (IT), Malta (MT), Portugal (PT), Spain (ES) and Tunisia (TN); (2) contain data referred to the most disaggregated level of administrative units for which data is available in each country; (3) contain data referred to at least two time points, including the latest available data, in each country; (4) contain data on number of farm holdings, on the physical areas covered by the main annual and permanent crops and on livestock (number of heads); (5) contain a primary key that allows joining the census and surveys database to a geographical dataset of administrative units covering the entire area; (6) have an associated complete geographical dataset of administrative units, to allow spatial data analyses. Elsevier 2019-11-08 /pmc/articles/PMC6880016/ /pubmed/31788512 http://dx.doi.org/10.1016/j.dib.2019.104774 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Agricultural and Biological Science Villani, Ricardo Sabbatini, Tiziana Perez, Olga Moreno Guiomar, Nuno Debolini, Marta An open dataset about georeferenced harmonized national agricultural censuses and surveys of seven mediterranean countries |
title | An open dataset about georeferenced harmonized national agricultural censuses and surveys of seven mediterranean countries |
title_full | An open dataset about georeferenced harmonized national agricultural censuses and surveys of seven mediterranean countries |
title_fullStr | An open dataset about georeferenced harmonized national agricultural censuses and surveys of seven mediterranean countries |
title_full_unstemmed | An open dataset about georeferenced harmonized national agricultural censuses and surveys of seven mediterranean countries |
title_short | An open dataset about georeferenced harmonized national agricultural censuses and surveys of seven mediterranean countries |
title_sort | open dataset about georeferenced harmonized national agricultural censuses and surveys of seven mediterranean countries |
topic | Agricultural and Biological Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6880016/ https://www.ncbi.nlm.nih.gov/pubmed/31788512 http://dx.doi.org/10.1016/j.dib.2019.104774 |
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