Replication data for: "Application of thermography for monitoring stomatal conductance of Coffea arabica under different shading systems"

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Craparo, A.C.W.; Steppe, K.; Van Asten, Piet; Läderach, Peter; Jassogne, Laurence; Grab, S.W., 2018, "Replication data for: "Application of thermography for monitoring stomatal conductance of Coffea arabica under different shading systems"", https://doi.org/10.7910/DVN/R3O8LO, Harvard Dataverse, V1, UNF:6:+p1HhzLQ0XZ40uOPoCA+TA== [fileUNF]

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Description	The primary objective of the data collection was to analyse the relationship between leaf temperatures and stomatal conductance. Data were collected under both environmentally controlled (laboratory) conditions as well as field conditions. Major variables studied and produced include thermographic indices derived from temperature measurements and stomatal conductance indices derived from a leaf porometer.
Subject	Earth and Environmental Sciences; Agricultural Sciences
Keyword	Agroforestry, Climate change, Climate smart agriculture, Infrared thermography, Shade, Stomatal conductance, Africa, Decision and Policy Analysis - DAPA
Related Publication	Craparo, A.C.W.; Steppe, K.; Van Asten, P.J.A.; Läderach, Peter; Jassogne, L.T.P.; Grab, S.W.. 2017. Application of thermography for monitoring stomatal conductance of Coffea arabica under different shading systems . Science of the Total Environment 606: 755-763.doi: 10.1016/j.scitotenv.2017.07.158
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	1 to 2 of 2 Files	Original Format Archival Format (.tab)
	01. Total_script.docx MS Word - 11.0 KB Published Jun 8, 2018 66 Downloads MD5: 604690333d489029ff0195dadb8246e1 R code in word output format used for importing and analysing the data as well as producing graphic outputs for the publication (including the variables description) CodeDocumentation	Access File File Access Public Download Options MS Word Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	02. data.tab Tabular Data - 5.0 KB Published Jun 8, 2018 84 Downloads 66 Variables, 23 Observations UNF:6:+p1HhzLQ0XZ40uOPoCA+TA== CSV file containing all the primary data used for the publication Data	Preview "02. data.tab" Preview "02. data.tab" Access File File Access Public Download Options Comma Separated Values (Original File Format) Tab-Delimited RData Download Metadata DDI Codebook v2 Data File Citation Download EndNote XML Download RIS Download BibTeX Explore Options Data Explorer v2

Citation Metadata

Persistent Identifier	doi:10.7910/DVN/R3O8LO
Publication Date	2018-06-08
Title	Replication data for: "Application of thermography for monitoring stomatal conductance of Coffea arabica under different shading systems"
Author	Craparo, A.C.W.University of the Witwatersrand - WITS Steppe, K.Ghent University International Institute of Tropical Agriculture - IITA0000-0003-0584-3552 International Center for Tropical Agriculture - CIAT0000-0001-8708-6318 International Institute of Tropical Agriculture - IITA0000-0002-2106-5001 University of the Witwatersrand - WITS0000-0001-7678-1526
Point of Contact	Use email button above to contact. CIAT Data and Research Methods (International Center for Tropical Agriculture - CIAT)
Description	The primary objective of the data collection was to analyse the relationship between leaf temperatures and stomatal conductance. Data were collected under both environmentally controlled (laboratory) conditions as well as field conditions. Major variables studied and produced include thermographic indices derived from temperature measurements and stomatal conductance indices derived from a leaf porometer.
Subject	Earth and Environmental Sciences; Agricultural Sciences
Keyword	Agroforestry (AGROVOC) http://aims.fao.org/aos/agrovoc/c_207 Climate change (AGROVOC) http://aims.fao.org/aos/agrovoc/c_1666 Climate smart agriculture (AGROVOC) http://aims.fao.org/aos/agrovoc/c_1361789093890 Infrared thermography Shade (AGROVOC) http://aims.fao.org/aos/agrovoc/c_14232 Stomatal conductance (AGROVOC) http://aims.fao.org/aos/agrovoc/c_37253 Africa (CIAT Region) Decision and Policy Analysis - DAPA (CIAT Research Area)
Topic Classification	Diagnostic techniques (AGROVOC) http://aims.fao.org/aos/agrovoc/c_16712
Related Publication	Craparo, A.C.W.; Steppe, K.; Van Asten, P.J.A.; Läderach, Peter; Jassogne, L.T.P.; Grab, S.W.. 2017. Application of thermography for monitoring stomatal conductance of Coffea arabica under different shading systems . Science of the Total Environment 606: 755-763. doi 10.1016/j.scitotenv.2017.07.158 http://dx.doi.org/10.1016/j.scitotenv.2017.07.158 Maes, W.H., Baert, A., Huete, A.R., Minchin, P.E.H., Snelgar, W.P., Steppe, K., 2016. A new wet reference target method for continuous infrared thermography of vegetations. Agric. For. Meteorol. 226:119–131. doi 10.1016/j.agrformet.2016.05.021 http://dx.doi.org/10.1016/j.agrformet.2016.05.021 Grant, O.M., Ochagavía, H., Baluja, J., Diago, M.P., Tardáguila, J., 2016. Thermal imaging to detect spatial and temporal variation in the water status of grapevine (Vitis vinifera L.). J. Hortic. Sci. Biotechnol. 91 (1):43–54. doi 10.1080/14620316. 2015.1110991 http://dx.doi.org/10.1080/14620316. 2015.1110991
Language	English
Producer	University of the Witwatersrand (WITS) https://www.wits.ac.za/ International Institute of Tropical Agriculture (IITA) http://iita.org/ International Center for Tropical Agriculture (CIAT) http://ciat.cgiar.org/
Production Date	2017-07-28
Funding Information	German Ministry for Economic Cooperation and Development - BMZ: Prime Agreement No. 8157483 Global Change and Sustainability Research Institute - GCSRI International Institute of Tropical Agriculture - IITA: D126CL10
Distributor	International Center for Tropical Agriculture (CIAT) http://ciat.cgiar.org/
Depositor	Jauregui , Maria Juliana
Deposit Date	2018-06-06
Time Period	Start Date: 2016-11-05; End Date: 2016-11-18
Date of Collection	Start Date: 2016-11-05; End Date: 2016-11-18
Data Type	Experimental Data; Observation Data; Phenomic Data

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Geographic Coverage	South Africa, Kwa-Zulu Natal

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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.

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.

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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