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The Dataverse portal of the International Center for Agricultural Research in Dry Ares (ICARDA) has been set up with the aim of making Findable, Accessible, Interoperable and Reusable (F.A.I.R.) the knowledge produced in research for development frameworks, joined by the Center and its partners. The portal is supported by the CGIAR Research Program on LIVESTOCK, the CGIAR Platform for BIGDATA in Agriculture, and is powered by CODEOBIA and hosted by Amazon Web Services (AWS). You may copy, distribute and transmit the data as long as you acknowledge the source through proper citation as shown below. You may not resale or use the data for any commercial purposes except with written permission from the respective authoring institution(s) and the author(s) concerned. By using the ICARDA Dataverse, the user expressly acknowledges that the data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. The user should always verify actual data.

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In accordance with scientific standards, all users of these data should make appropriate acknowledgement to the producer of the data as well as the distributor using bibliographic citation. Such citations will appear in footnotes or in the reference section of any such manuscript. The citation should use the citation standard documented in http://thedata.org/citation and as shown on the "Data Citation" section of the cataloguing information page for each dataverse study. ICARDA requests a copy of any material produced based on the data. This includes position papers, scientific reports, and graduate papers in addition to publications. All users of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the cataloguing information.

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671 to 680 of 4,478 Results
DataDictionary_UniqueIdentifier.csv
Jul 1, 2024 - Grass pea stage 2 - IGYT_E_2023 - ICARDA - India
Comma Separated Values - 1002 B - MD5: de45f99f01df5390143df64832602c7b
DataDictionary_ElementDescription.csv
Jul 1, 2024 - Faba bean stage 2 - FBISDE_2023 - ICARDA - India
Comma Separated Values - 1.4 KB - MD5: 5ac5e936dbd34acd5844981f1974a562
DataDictionary_Introduction.csv
Jul 1, 2024 - Faba bean stage 2 - FBISDE_2023 - ICARDA - India
Comma Separated Values - 833 B - MD5: 89f1d9a50ad7235597c32955d6770853
DataDictionary_UniqueIdentifier.csv
Jul 1, 2024 - Faba bean stage 2 - FBISDE_2023 - ICARDA - India
Comma Separated Values - 993 B - MD5: 9948b590fc8098319db1ac66e7afe92c
DataDictionary_ElementDescription.csv
Jul 1, 2024 - Faba bean stage 2 - FBIEN_SAC_2023 - ICARDA - India
Comma Separated Values - 1.5 KB - MD5: e53063a357e4d4ef409cc392909631c8
DataDictionary_Introduction.csv
Jul 1, 2024 - Faba bean stage 2 - FBIEN_SAC_2023 - ICARDA - India
Comma Separated Values - 689 B - MD5: f40b2c011a44120759e6db6e6867fb9c
DataDictionary_UniqueIdentifier.csv
Jul 1, 2024 - Faba bean stage 2 - FBIEN_SAC_2023 - ICARDA - India
Comma Separated Values - 1.0 KB - MD5: 0cdd3637d1ce05a217f1aa3071548a01
envimpact_public.zip
Jun 27, 2024 - Green house gas mitigation potential in dairy production systems
ZIP Archive - 210.0 KB - MD5: 9f3c3bee30e02ca81be00f7b900c2e27
FIGS_ILL_Drought_2017
Jun 21, 2024 - Collect, Conserve and Use Agricultural Biodiversity
Kehel, Zakaria; Street, Kenneth; Tsivelikas, Athanasios, 2017, "FIGS_ILL_Drought_2017", https://hdl.handle.net/20.500.11766.1/X7ZEE8, MELDATA, V7
The low temperature FIGS set contains 147 lentil accessions. This set was created using the Focused Identification of Germplasm Strategy FIGS (http://figs.icarda.org). Annual and monthly temperature, precipitation and aridity were used in the process. We applied a filtering appro...
Statistics on Crops, with a Focus on Barley Production and Trade, in Tunisia
Jun 21, 2024 - Scaling-up of proven technological packages
Khawam, Hala; Najjar, Dina, 2017, "Statistics on Crops, with a Focus on Barley Production and Trade, in Tunisia", https://hdl.handle.net/20.500.11766.1/YSTDVL, MELDATA, V8
In this dataset, the main barley aspects are collected in order to monitor its trend in production and trade in Tunisia. The data are not collected in the field but downloaded from other web sources: FAOSTAT (http://www.fao.org/faostat/en/#data/QC) and Statistiques Tunisie (http:...
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