a8f28e3c-5c73-4411-bccb-6379a530faeb Marco Ciolfi National Research Council (CNR), Research Institute on Terrestrial Ecosystems (IRET) Technologist marco.ciolfi@cnr.it 0000-0003-4831-8053 Marco Ciolfi National Research Council (CNR), Research Institute on Terrestrial Ecosystems (IRET) Technologist marco.ciolfi@cnr.it 0000-0003-4831-8053 Ilaria Rosati National Research Council (CNR), Institute of Research on Terrestrial Ecosystems (IRET) Technologist ilaria.rosati@cnr.it 0000-0003-3422-7230 Custodian Steward Cristina Di Muri National Research Council (CNR), Institute of Research on Terrestrial Ecosystems (IRET) Technologist cristina.dimuri@cnr.it 0000-0003-4072-0662 Information Manager 2025-11-20 English The Aalto shapefile contain a sample training set for the Alvar cloud application, i.e. a service for Ailanthus altissima visual aid reconnaissance. The minimum working example to run the service is to use Alvar (service) and this dataset (Aalto) in pair. The dataset attributes are: label, primary key, string; class: 0 = unclassified, 1 = A. altissima, 2 = other trees, 3 = olive orchards and vineyards, 4 = permanent grassland and crops; type: T = training set, C = control set; notes = a comment string, not used by Alvar software. plant cover vegetation type invasive alien species Biodiversity Thesaurus plant invasion Environmental Thesaurus spatial data file (GIS) vector eLTER Controlled Lists Stable isotope data associated with records of the Aalto shapefile are available at: https://data.lifewatchitaly.eu/handle/123456789/326244 Free for use, including sharing and adaptation, by all individuals provided that the owners are acknowledged in any use or publication. cc-by https://creativecommons.org/licenses/by/4.0/ Umbria (central Italy) and Sicily (southern Italy) 11.9547 14.4903 42.7782 37.6493 2021-01-01 2023-09-30 http://www.w3.org/ns/dcat#keyword http://vocabs.lter-europe.net/EnvThes/20990 http://www.w3.org/ns/dcat#keyword http://data.loterre.fr/ark:/67375/BLH-JJ47DP7M-T http://www.w3.org/ns/dcat#keyword http://data.loterre.fr/ark:/67375/BLH-DZNXN33Q-K http://www.w3.org/ns/dcat#keyword http://data.loterre.fr/ark:/67375/BLH-SQMKT4H5-7 http://www.w3.org/ns/dcat#keyword http://vocabs.lter-europe.net/elter_cl/10218 http://www.w3.org/ns/dcat#keyword http://vocabs.lter-europe.net/elter_cl/10058 A training set for the Alvar cloud application, i.e. a service for Ailanthus altissima visual aid reconnaissance. This work has been funded by the USEit project: https://www.lifewatchitaly.eu/en/pg-related-projects/useit/ Marco Ciolfi National Research Council (CNR), Research Institute on Terrestrial Ecosystems (IRET) Technologist marco.ciolfi@cnr.it 0000-0003-4831-8053 LifeWatch Italy lifewatchitaly@gmail.com Site identification by historical mapping and local experts advice (Università di Palermo, Parco della Ficuzza, Riserva Monte Pellegrino). On-site species identification by visual inspection. Leaf and soil sampling was carried out for stable isotope analysis according to literature and at least three statistically significant samples per kind, species and sampling site were collected. Stable isotope data are available at: https://data.lifewatchitaly.eu/handle/123456789/326244 unknown https://qgis.org 3.14 Random field sampling in Ailanthus altissima infested areas: GPS localisation and in-situ leaves and soil collection (for stable isotopes analysis). Double or triple readings were used for GPS localization to improve accuracy of coordinates collection. Scissors and a lopper were used for leaves collection. Leaves were then stored in plastic bags and refrigeration was applied immediately after picking. Soil cores were collected with Haglöf auger and refrigeration was applied immediately after collection. Stable isotope data associated to records included in this shape file are available at: https://data.lifewatchitaly.eu/handle/123456789/326244 The sampling area included western Umbria (central Italy) and Sicily (southern Italy). Marco Ciolfi National Research Council (CNR), Research Institute on Terrestrial Ecosystems (IRET) Technologist marco.ciolfi@cnr.it 0000-0003-4831-8053 Point Of Contact Biological invasions represent today one of the greatest threats to global biodiversity, with negative impacts on human health and the economy of our country. The USEit project addresses this problem by involving a number of marine and terrestrial institutes of the National Research Council of Italy (CNR). Our main goal is to empower the scientific research on invasive species and to transform this challenge into new opportunities and new growth strategies. aalto_attributes.csv A CSV file describing the attributes of the DBF file and associated shapefile. aalto_attributes.csv 3609 MD5:8c0597da2627c0b4bdc6c09b8ec5530e 1 column , FID FID The feature identifier (FID) is a unique identifier for each record (row) in the DBF table, which corresponds to a specific spatial feature in the associated shapefile. Any Text LABEL LABEL A label (string) identifying each record (row) in the DBF table, which corresponds to a specific spatial feature in the associated shapefile. Any Text CLASS CLASS Describes membership of a group into which vegetation is classified. 0 unclassified - 1 A. altissima - 2 other trees - 3 olive orchards and vineyards - 4 permanent grassland and crops - NOTES NOTES Comments or notes about the record. Any Text TYPE TYPE Describes the type of record used by the Alvar software for training. T training set - C control set - 134 aalto_sh_20231107.zip aalto_sh_20231107.zip 8437 MD5:0a55bcf64cc15fb7e3d624153037e600 Unknown shapefile