441 to 450 of 1,288 Results
Faye, Awa; Chopart, Jean-Louis; Sine, Bassirou; Grondin, Alexandre; Laplaze, Laurent, 2019, "Racine 2.2", https://doi.org/10.23708/CKRDBW, DataSuds, V2, UNF:6:fVTiCa1QVm8CD3Jna7gAdg== [fileUNF]
RACINE2.2 est une application de traitement de données racinaires fondée sur des comptages, sur le terrain, d’impacts de racine au travers d’une grille placée sur un profil de sol. Cette méthode permet de mesurer les intersections entre un plan représenté par ce profil de sol et... |
Sep 2, 2020 - CERES Team
Grondin, Alexandre; Affortit, Pablo; Tranchant-Dubreuil, Christine; De La Fuente Canto, Carla; Mariac, Cedric; Gantet, Pascal; Vadez, Vincent; Vigouroux, Yves; Laplaze, Laurent, 2020, "Aquaporins in Pearl Millet: genomic, coding and protein sequences", https://doi.org/10.23708/WVCG5O, DataSuds, V1
Pearl millet (Pennisetum glaucum (L) R. Br.) is a key cereal for food security in arid and semi-arid regions but its yield is increasingly threatened by water stress. Physiological mechanisms consisting in saving water or increasing water use efficiency can alleviate that stress.... |
Pradeilles, Rebecca; Laar, Amos; Wanjohi, Milkah; Tandoh, Akua; Green, Mark; Asiki, Gershim; Osei-Kwasi, Hibbah; Kimani-Murage, Elizabeth; Griffiths, Paula; Holdsworth, Michelle, 2020, "Food and beverage consumption and routines of adolescents and adults in Ghana and Kenya", https://doi.org/10.23708/S0Q2QX, DataSuds, V1
Food intake was assessed using qualitative 24hr recall (food type information only, not quantity consumed). In 2017, interviewers noted all food and drink consumed by participants inside/outside the home in the previous 24hr period, also recording how long a food event lasts (tim... |
Aug 3, 2020 - UMR AMAP
Sirri, Nelly F.; Libalah, Moses B.; Momo, Stephane T.; Ploton, Pierre; Medjibe, Vincent; Kamdem, Narcisse G.; Mofack II., Gislain; Sonké, Bonaventure; Barbier, Nicolas, 2020, "Data from: Allometric models to estimate leaf area for tropical African broadleaved forests", https://doi.org/10.5061/dryad.63cj030, DataSuds, V1
Direct and semi-direct estimations of leaf area (LA) and leaf area index (LAI) are scarce in dense tropical forests despite the importance of such measurements to calibrate remote-sensing products, forest dynamics and biogeochemical models (e.g. Dynamic Global Vegetation Models).... |
Aug 3, 2020 - UMR AMAP
PLOTON, Pierre; MORTIER, Frédéric; BARBIER, Nicolas; CORNU, Guillaume; REJOU-MECHAIN, Maxime; ROSSI, Vivien; ALONSO, Alfonso; BASTIN, Jean-François; BAYOL, Nicolas; BISSIENGOU, Pulchérie; CHUYONG, Georges; DOUCET, Jean-Louis; DROISSART, Vincent; KAMDEM, Narcisse Guy; KENFACK, David; MEMIAGHE, Hervé; MOSES, Libalah; SONKE, Bonaventure; TEXIER, Nicolas; THOMAS, Duncan; ZEBAZE, Donatien; PELISSIER, Raphaël; GOURLET-FLEURY, Sylvie, 2020, "A 1-km resolution dataset of African humid tropical forests aboveground biomass derived from management inventories", https://doi.org/10.6084/m9.figshare.11865450, DataSuds, V1
The CoFor-AGB dataset is distributed as a four layers GeoTIFF file. The file projection system is World Mercator (EPSG: 3395). Layers’ information are provided below. Layer 1: Mean pixel AGB (in Mg.ha-1) Layer 2: Number of field plots within the pixel Layer 3: Mean date of plots... |
Jul 30, 2020 - Senegal
Garenne, Michel; Cantrelle, Pierre, 2020, "Données anthropométriques des enfants de 0-12 ans recueillies lors de l’enquête MISOES dans la vallée du fleuve Sénégal en 1957-1958", https://doi.org/10.23708/UGO8J6, DataSuds, V1
L'anthropométrie des enfants de moins de 12 ans a été étudiée lors de l'enquête à objectifs multiples de la moyenne vallée du fleuve Sénégal (MISOES), conduite en 1957-1958. Cette enquête nutritionnelle portait sur deux échantillons représentatifs, l'un en milieu urbain (770 enfa... |
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 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... |
Chahinian, Nanée; Bonnabaud La Bruyère, Thierry; Delenne, Carole; Frontini, Francesca; Panckhurst, Rachel; Roche, Mathieu; Sautot, Lucile; Teisseire, Maguelonne, 2020, "Guide d'annotation du projet MeDo", https://doi.org/10.23708/DAAKF1, DataSuds, V1
Ce document a été créé pour clarifier les règles d'annotation utilisées dans le cadre du projet MeDo. Il a pour objectif de guider les annotateurs dans le choix des bonnes «étiquettes» pour annoter les textes. This document has been created to clarify the annotation rules used wi... |
Jun 30, 2020 - Dietary transitions in African Cities: TACLED project
Osei-Kwasi, Hibbah; Mohindra, Aarti; Booth, Andrew; Laar, Amos; Wanjohi, Milka; Pradeilles, Rebecca; Graham, Fiona; Cohen, Emmanuel; Holdsworth, Michelle, 2020, "A systematic mapping review of drivers of diet in urban African food environments: data synthesis", https://doi.org/10.23708/UHH4VX, DataSuds, V1
In 2017, we undertook a systematic mapping review to synthesise factors influencing dietary behaviours in urban food environments in Africa and identify areas for future research. We registered our review protocol in the PROSPERO database (CRD42017068931). We include data extract... |
