6,951 to 6,960 of 8,495 Results
Tabular Data - 12.7 KB - 12 Variables, 413 Observations - UNF:6:bR5zLm2XmHD+MMaMhBcL/g==
Binh Dinh province - Quy Nhon bay site (N13°45’36.9; E109°13’21.8); Quy Nhon Bay; water. January 2020. |
Tabular Data - 12.0 KB - 12 Variables, 413 Observations - UNF:6:Qtz3fS1w44CUAzuXBzXqHA==
Binh Dinh province - Thi Nai lagoon 1 site (N13°50’24.3; E109°13’22.6); Thi Nai lagoon; water. January 2020. |
Tabular Data - 13.4 KB - 12 Variables, 413 Observations - UNF:6:bwFK0R7nsbWeus5VoUelCA==
Binh Dinh province - Thi Nai lagoon 2 site (N13°51’5.6; E109°13’41.1); Thi Nai lagoon; water. January 2020. |
Jul 22, 2020 - MeDo project
Chahinian, Nanée; Bonnabaud La Bruyère, Thierry; Conrad, Serge; Delenne, Carole; Frontini, Francesca; Panckhurst, Rachel; Roche, Mathieu; Sautot, Lucile; Deruelle, Laurent; Teisseire, Maguelonne, 2020, "Gold Standard du projet MeDo", https://doi.org/10.23708/H0VXH0, DataSuds, V1
Cet ensemble de données comporte les documents utilisés pour l’apprentissage des modules NER (Named Entity Recognition) du projet MeDo (http://webmedo.msem.univ-montp2.fr/?page_id=12). Les documents originaux ont été requêtés sur le web, convertis au format texte et nettoyés. Les... |
Jul 22, 2020 -
Gold Standard du projet MeDo
ZIP Archive - 354.7 KB -
MD5: 83bd2bf16ec81e74b9347e8d37a1d5b9
Fichiers d'annotations créés avec le logiciel BRAT - Annotation files created using BRAT software. |
Jul 22, 2020 -
Gold Standard du projet MeDo
JSON - 21.3 KB -
MD5: 878f4bfbd4dafbd281816723965d1c0a
Description des données - Data description |
Jul 22, 2020 -
Gold Standard du projet MeDo
Plain Text - 9.4 KB -
MD5: 084d35d8abf82e3cc58271031e3f0523
Liste des mots clés - List of keywords |
Jul 22, 2020 -
Gold Standard du projet MeDo
Rich Text Format - 3.7 KB -
MD5: ebcba60c83744d977b7296b0060a89ff
Informations utiles sur le jeu de données - Useful information on the dataset |
Jul 22, 2020 -
Gold Standard du projet MeDo
ZIP Archive - 371.6 KB -
MD5: 249109385427c43dbcbf9899f3298c1d
Documents annotés anonymisés - Anonymized annotated documents. |
Jul 21, 2020 - UMR iEES-Paris
Jouquet, P; Harit, A, 2020, "Cathedral and lenticular mound soil properties in the Mule Hole long term observatory, Southern India.", https://doi.org/10.23708/DCNDNZ, DataSuds, V1, UNF:6:cb/rSmI16sEC7PzTgwRkZQ== [fileUNF]
This dataset has been collected thanks to the long-term partnership with Mahatma Gandhi University, India, which granted the permission for field access, and to the financial, scientific, technical, and/or logistical support of the M-TROPICS CZO. The dataset holds soil properties... |
