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Part 1: Document Description
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Citation |
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Title: |
Replication Data for: Experimental Bean lines selected for tolerance to Drought. |
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Identification Number: |
doi:10.7910/DVN/EZBQBF |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2020-03-27 |
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Version: |
1 |
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Bibliographic Citation: |
Raatz, Bodo; Beebe, Stephen, 2020, "Replication Data for: Experimental Bean lines selected for tolerance to Drought.", https://doi.org/10.7910/DVN/EZBQBF, Harvard Dataverse, V1 |
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Citation |
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Title: |
Replication Data for: Experimental Bean lines selected for tolerance to Drought. |
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Identification Number: |
doi:10.7910/DVN/EZBQBF |
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Authoring Entity: |
Raatz, Bodo (International Center for Tropical Agriculture - CIAT) |
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Beebe, Stephen (International Center for Tropical Agriculture - CIAT) |
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Producer: |
International Center for Tropical Agriculture |
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Grant Number: |
A401 |
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Distributor: |
Harvard Dataverse |
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Distributor: |
International Center for Tropical Agriculture |
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Access Authority: |
Alliance Data Management |
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Depositor: |
Cruz Arias, Paola Andrea |
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Date of Deposit: |
2020-03-26 |
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Holdings Information: |
https://doi.org/10.7910/DVN/EZBQBF |
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Study Scope |
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Keywords: |
Agricultural Sciences, Earth and Environmental Sciences, Drought, Bean, Agrobiodiversity, Latin America and the Caribbean, Crops for Health |
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Abstract: |
Experimental Bean lines selected for tolerance to Drought. These lines will be sent to collaborators in Central America and Africa to be evaluated under their local conditions. Yield in Kg / Ha with and without drought stress was evaluated. |
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Time Period: |
2019-07-15-2019-07-30 |
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Date of Collection: |
2018-08-15-2019-10-30 |
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Country: |
Colombia |
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Geographic Coverage: |
Valle del Cauca |
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Kind of Data: |
Experimental Data |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Disclaimer: |
Whilst utmost care has been taken by CIAT and data authors while collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, CIAT, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data. <BR/><BR/> By using the CIAT 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. <BR/><BR/> The user should always verify actual data; therefore the user bears all responsibility in determining whether the data is fit for the user’s intended use. The user 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 metadata section of the Dataverse study. |
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Notes: |
<P><a rel="license" href="http://creativecommons.org/licenses/by/4.0/" target="_blank"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br /> These data and documents are licensed under a <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank"> Creative Commons Attribution 4.0 International license.</a> You may copy, distribute and transmit the data as long as you acknowledge the source through proper <a href="http://best-practices.dataverse.org/data-citation/" target="_blank">data citation</a>.</P> |
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Label: |
Analisis Combinado.docx |
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Notes: |
application/vnd.openxmlformats-officedocument.wordprocessingml.document |
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Label: |
High yielding iron beans.xls |
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Notes: |
application/vnd.ms-excel |