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2,661 to 2,670 of 8,524 Results
PNG Image - 22.0 KB - MD5: 2cf58e0503873d87a44fc643cc9c4b0d
Documentation
CounterMEASURE logo
Jan 27, 2023 - DYNADIV Team
Tranchant, Christine; Chenal, Clothilde; Blaison, Mathieu; Albar, Laurence; Klein, Valentin; Mariac, Cédric; Wing, Rod; Vigouroux, Yves; Sabot, Francois, 2022, "Supporting data and code for the African Rice Panreference produced by the frangiPANe software", https://doi.org/10.23708/93OQMD, DataSuds, V3, UNF:6:J8wm0efC8Lf7KQQ/txrx4Q== [fileUNF]
We present here FrangiPANe (https://github.com/tranchant/frangiPANe), a pipeline developed to build panreference using short reads through a map-then-assemble strategy and a dataset corresponding to 515 Mb of new sequences (484,394 non redundant sequences) in addition to the CG14...
Plain Text - 1.8 KB - MD5: 73de2fe097cfc2f4e5d5495f4dd1d765
Documentation
Dataset citation, description and contents summary
ZIP Archive - 1.6 MB - MD5: e1e2f64eaf0d3b9aa16dd6b745fde5ff
Code
frangiPANe source code, v1 (26-01-2023) - Jupyter Notebook application
Jan 18, 2023 - Published in CIRAD Dataverse
Gaillard, Cédric; Dury,Sandrine; Bosc, Pierre-Marie, 2024, "Exploration des liens entre agriculture et sécurité alimentaire : Une enquête auprès des femmes du gouvernorat de Sidi-Bouzid, en Tunisie centrale", https://doi.org/10.18167/DVN1/LWT7BG, CIRAD Dataverse
Enquête réalisée en zone rurale du Centre-est de la Tunisie auprès des femmes, des chefs de ménages et des exploitations agricole.
This dataset is harvested from CIRAD Dataverse. Clicking the link will take you directly to the source.
Jan 18, 2023 - Published in CIRAD Dataverse
DAVID-BENZ, Hélène; ANDRIANDRALAMBO, Norontsoa; SOANJARA, Helgina, 2024, "Survey data : access to market information and marketing strategies of rice farmers in Madagascar", https://doi.org/10.18167/DVN1/WJRDTG, CIRAD Dataverse
Socio -economic surveys on rice farms. Focused on (i) structural characteristics of farms, (ii) marketing strategies and constraints, (iii) access to information, and (iv) farmers’ perceptions and expectations towards market information systems
This dataset is harvested from CIRAD Dataverse. Clicking the link will take you directly to the source.
Jan 13, 2023 - UMI UMMISCO
Bayet, Theophile, 2023, "COCO-style geographically unbiased image dataset for computer vision applications", https://doi.org/10.23708/N2UY4C, DataSuds, V1
There are already a lot of datasets linked to computer vision tasks (Imagenet, MS COCO, Pascal VOC, OpenImages, and numerous others), but they all suffer from important bias. One bias of significance for us is the data origin: most datasets are composed of data coming from develo...
ZIP Archive - 301.2 KB - MD5: 7d00b44bfd43f82760b0d1500f661c5e
Data
Annotations for 400 images per geographic zones, JSON format (COCO-style): presence or absence of 91 categories of objects or concepts on the images.
Adobe PDF - 55.9 KB - MD5: 808d3cb240f0b589e1ae55e03294151c
Documentation
Data Management Plan of the project, in French (6 pages)
ZIP Archive - 168.1 MB - MD5: b3467eebbefb50907f880809a97fb8df
Data
23 text files: comma separated URLs for each of the 23 geographic zones. Files are named according to geographic zones (UN M49 standard)
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