<codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Oceania, ​​Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool), for the following crops: Bean, cassava, banana, wheat, maize, potato, sweet potato, rice, barley, sorghum, pearl millet, cowpea, yam, soybean</titl><IDNo agency="DOI">doi:10.7910/DVN/QSTFLU</IDNo></titlStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distDate>2023-02-01</distDate></distStmt><verStmt source="archive"><version date="2024-01-31" type="RELEASED">1</version></verStmt><biblCit>Mora, Brayan, 2023, "Oceania, ​​Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool), for the following crops: Bean, cassava, banana, wheat, maize, potato, sweet potato, rice, barley, sorghum, pearl millet, cowpea, yam, soybean", https://doi.org/10.7910/DVN/QSTFLU, Harvard Dataverse, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Oceania, ​​Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool), for the following crops: Bean, cassava, banana, wheat, maize, potato, sweet potato, rice, barley, sorghum, pearl millet, cowpea, yam, soybean</titl><IDNo agency="DOI">doi:10.7910/DVN/QSTFLU</IDNo></titlStmt><rspStmt><AuthEnty affiliation="International Center for Tropical Agriculture (CIAT)">Mora, Brayan</AuthEnty><othId role="Project Manager">Ramirez, Julian</othId><othId role="Project Manager">Kehel, Zakaria</othId><othId role="Researcher">Sotelo, Steven</othId><othId role="Researcher">Hernandez, Victor</othId><othId role="Researcher">Garcia, Juan-Camilo</othId></rspStmt><prodStmt><producer affiliation="Bioversity International and the International Center for Tropical Agriculture">Bioversity International and the International Center for Tropical Agriculture</producer><producer affiliation="International Center for Agricultural Research in the Dry Areas (ICARDA)" abbr="ICARDA">International Center for Agricultural Research in the Dry Areas (ICARDA)</producer><prodDate>2022-06-30</prodDate></prodStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distrbtr affiliation="Bioversity International and the International Center for Tropical Agriculture" URI="https://alliancebioversityciat.org/">Bioversity International and the International Center for Tropical Agriculture</distrbtr><distrbtr URI="https://www.icarda.org/">International Center for Agricultural Research in the Dry Areas (ICARDA)</distrbtr><contact affiliation="The Alliance of Bioversity International and CIAT" email="alliance-dm@cgiar.org">Alliance Data Management</contact><contact affiliation="International Center for Tropical Agriculture (CIAT)" email="j.r.villegas@cgiar.org">Ramirez, Julian</contact><depositr>Castaño, Silvia-Elena</depositr><depDate>2022-11-30</depDate><distDate>2023-01-31</distDate></distStmt><holdings URI="https://doi.org/10.7910/DVN/QSTFLU"/></citation><stdyInfo><subject><keyword xml:lang="en">Agricultural Sciences</keyword><keyword xml:lang="en">Earth and Environmental Sciences</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_806">bananas</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_823">barley</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_331566">beans</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_9649">cassava</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_1938">cowpeas</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_12332">maize</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_e4e17d1b">pearl millet</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_13551">potatoes</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_6599">rice</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_7244">sorghum</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_14477">soybean</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_14729">sweet potatoes</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_8373">wheat</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_8478">yams</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_35768">abiotic stress</keyword><keyword>agroclimatic indicators</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_29553">climatic data</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_7156">soil</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_2391">drought</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_3519">heat</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_2980">flooding</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_379bbe9f">spatial data</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_7657">temperature</keyword><keyword>maximum temperature</keyword><keyword>minimum temperature</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_6161">precipitation</keyword><keyword>raster</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_14415">solar radiation</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_2741">evapotranspiration</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_2741">waterlogging</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_5296">Oceania</keyword><keyword vocab="Research Region">Latin America and the Caribbean</keyword><keyword vocab="Research Lever">Climate Action</keyword><topcClas vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_29553">climatic data</topcClas></subject><abstract>The purpose for which these crop-specific indicators were created is to group or characterize the different accessions available in the Genesys database, considering the climatic data from where they were collected. For this, it is necessary to carry out a characterization of zones based on these specific ones per crop, which are part of evaluating when crops are exposed to heat stress.</abstract><sumDscr><timePrd cycle="P1" event="start" date="1983-01-01">1983-01-01</timePrd><timePrd cycle="P1" event="end" date="2016-12-31">2016-12-31</timePrd><collDate cycle="P1" event="start" date="2021-01-01">2021-01-01</collDate><collDate cycle="P1" event="end" date="2022-06-01">2022-06-01</collDate><geogCover>Oceania</geogCover><geogCover>Global</geogCover><geoBndBox><westBL>113.5</westBL><eastBL>178.49</eastBL><southBL>-47.25</southBL><northBL>-2.0</northBL></geoBndBox><dataKind>Climate Date</dataKind><dataKind>Geospatial Data</dataKind></sumDscr><notes>Methodology:
To carry out the calculation of these agroclimatic indicators, daily data of the following climatic variables were used at a resolution of 5 km: Maximum and minimum temperatures (source: CHIRTS). The indicators were calculated for each month during a period of 33 years (1983 - 2016). With the above, the indicators were calculated per month during 1983 -2016 and finally, in order to summarize the calculated indicators, an aggregation of data was carried out, calculating the average in the following time periods: 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 – 2016, 2005 – 2016, 2010 – 2016.</notes></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt/><notes type="DVN:TOU" level="dv">&lt;P>&lt;a rel="license" href="http://creativecommons.org/licenses/by/4.0/" target="_blank">&lt;img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" />&lt;/a>&lt;br />
These data and documents are licensed under a &lt;a href="http://creativecommons.org/licenses/by/4.0/" target="_blank"> Creative Commons Attribution 4.0 International license.&lt;/a> You may copy, distribute and transmit the data as long as you acknowledge the source through proper &lt;a href="http://best-practices.dataverse.org/data-citation/" target="_blank">data citation&lt;/a>.&lt;/P></notes></dataAccs><othrStdyMat><relStdy>&lt;P>Mora, Brayan, 2023, "South America, Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool), for the following crops: Bean, cassava, banana, wheat, maize, potato, sweet potato, rice, barley, sorghum, pearl millet, cowpea, yam, soybean", &lt;a rel="https://doi.org/10.7910/DVN/AQGOI7" target="_blank">
https://doi.org/10.7910/DVN/AQGOI7&lt;/a>, Harvard Dataverse.&lt;br />
Mora, Brayan, 2023, "Asia, Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool), for the following crops: Bean, cassava, banana, wheat, maize, potato, sweet potato, rice, barley, sorghum, pearl millet, cowpea, yam, soybean", &lt;a rel="https://doi.org/10.7910/DVN/8FB13P" target="_blank">
https://doi.org/10.7910/DVN/8FB13P&lt;/a>, Harvard Dataverse.&lt;br />
Mora, Brayan, 2023, "Europe, Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool), for the following crops: Bean, cassava, banana, wheat, maize, potato, sweet potato, rice, barley, sorghum, pearl millet, cowpea, yam, soybean", &lt;a rel="https://doi.org/10.7910/DVN/YQULMX" target="_blank">
https://doi.org/10.7910/DVN/YQULMX&lt;/a>, Harvard Dataverse.&lt;br />
Mora, Brayan, 2023, "Africa, Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool), for the following crops: Bean, cassava, banana, wheat, maize, potato, sweet potato, rice, barley, sorghum, pearl millet, cowpea, yam, soybean", &lt;a rel="https://doi.org/10.7910/DVN/LI5D3A" target="_blank">
https://doi.org/10.7910/DVN/LI5D3A"&lt;/a>, Harvard Dataverse.&lt;br />
Mora, Brayan, 2023, "North America, Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool), for the following crops: Bean, cassava, banana, wheat, maize, potato, sweet potato, rice, barley, sorghum, pearl millet, cowpea, yam, soybean", &lt;a rel="https://doi.org/10.7910/DVN/TV4XEC" target="_blank">
https://doi.org/10.7910/DVN/TV4XEC&lt;/a>, Harvard Dataverse.&lt;br />
&lt;/p></relStdy></othrStdyMat></stdyDscr><otherMat ID="f6908530" URI="https://dataverse.harvard.edu/api/access/datafile/6908530" level="datafile"><labl>01 File organization .xlsx</labl><txt>Dataset files list and description</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</notes></otherMat><otherMat ID="f6905282" URI="https://dataverse.harvard.edu/api/access/datafile/6905282" level="datafile"><labl>02 Oceania-ind_per_crop-banana.zip</labl><txt>Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 15 degrees celsius, for each year.
Multiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 35 degrees celsius, for each year.
Multiannual average  of the Number of days per month, in which the average temperature oscillates between the  24 and 27 degrees celsius, for each year. </txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f6905291" URI="https://dataverse.harvard.edu/api/access/datafile/6905291" level="datafile"><labl>03 Oceania-ind_per_crop-barley.zip</labl><txt>Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 3 degrees celsius, for each year.
Multiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 36 degrees celsius, for each year. 
Multiannual average  of the Number of days per month, in which the average temperature oscillates between the  18 and 24 degrees celsius, for each year. </txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f6905287" URI="https://dataverse.harvard.edu/api/access/datafile/6905287" level="datafile"><labl>04 Oceania-ind_per_crop-bean.zip</labl><txt>Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 13.5 degrees celsius, for each year.
Multiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 25.6 degrees celsius, for each year.
Multiannual average  of the Number of days per month, in which the average temperature oscillates between the  17.5 and 23.1 degrees celsius, for each year. </txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f6905280" URI="https://dataverse.harvard.edu/api/access/datafile/6905280" level="datafile"><labl>05 Oceania-ind_per_crop-cassava.zip</labl><txt>Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 15 degrees celsius, for each year. 
Multiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 45 degrees celsius, for each year.
Multiannual average  of the Number of days per month, in which the average temperature oscillates between the  22 and 32 degrees celsius, for each year.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f6905279" URI="https://dataverse.harvard.edu/api/access/datafile/6905279" level="datafile"><labl>06 Oceania-ind_per_crop-cowpea.zip</labl><txt>Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 15 degrees celsius, for each year. 
Multiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 50 degrees celsius, for each year.
Multiannual average  of the Number of days per month, in which the average temperature oscillates between the  20 and 35 degrees celsius, for each year.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f6905285" URI="https://dataverse.harvard.edu/api/access/datafile/6905285" level="datafile"><labl>07 Oceania-ind_per_crop-maize.zip</labl><txt>Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 15 degrees celsius, for each year.
Multiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 28 degrees celsius, for each year. 
Multiannual average  of the Number of days per month, in which the average temperature oscillates between the  28 and 29 degrees celsius, for each year. </txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f6905278" URI="https://dataverse.harvard.edu/api/access/datafile/6905278" level="datafile"><labl>08 Oceania-ind_per_crop-pearl_millet.zip</labl><txt>Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 13.3 degrees celsius, for each year.
Multiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 50 degrees celsius, for each year. 
Multiannual average  of the Number of days per month, in which the average temperature oscillates between the  12.4 and 17.8 degrees celsius, for each year. </txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f6905283" URI="https://dataverse.harvard.edu/api/access/datafile/6905283" level="datafile"><labl>09 Oceania-ind_per_crop-potato.zip</labl><txt>Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 4 degrees celsius, for each year. 
Multiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 24 degrees celsius, for each year.
Multiannual average  of the Number of days per month, in which the average temperature oscillates between the  12.4 and 17.8 degrees celsius, for each year. </txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f6905289" URI="https://dataverse.harvard.edu/api/access/datafile/6905289" level="datafile"><labl>10 Oceania-ind_per_crop-rice.zip</labl><txt>Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 13 degrees celsius, for each year.
Multiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 40 degrees celsius, for each year.
Multiannual average  of the Number of days per month, in which the average temperature oscillates between the  20 and 35 degrees celsius, for each year. </txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f6905284" URI="https://dataverse.harvard.edu/api/access/datafile/6905284" level="datafile"><labl>11 Oceania-ind_per_crop-sorghum.zip</labl><txt>Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 17.8 degrees celsius, for each year. 
Multiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 39.1 degrees celsius, for each year. 
Multiannual average  of the Number of days per month, in which the average temperature oscillates between the  26.7 and 37.4 degrees celsius, for each year. </txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f6905288" URI="https://dataverse.harvard.edu/api/access/datafile/6905288" level="datafile"><labl>12 Oceania-ind_per_crop-soybean.zip</labl><txt>Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 14 degrees celsius, for each year.
Multiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 37 degrees celsius, for each year. 
Multiannual average  of the Number of days per month, in which the average temperature oscillates between the  25 and 28 degrees celsius, for each year. </txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f6905290" URI="https://dataverse.harvard.edu/api/access/datafile/6905290" level="datafile"><labl>13 Oceania-ind_per_crop-sweet_potato.zip</labl><txt>Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 15.5 degrees celsius, for each year. 
Multiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 35 degrees celsius, for each year. 
Multiannual average  of the Number of days per month, in which the average temperature oscillates between the  20 and 32 degrees celsius, for each year.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f6905286" URI="https://dataverse.harvard.edu/api/access/datafile/6905286" level="datafile"><labl>14 Oceania-ind_per_crop-wheat.zip</labl><txt>Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 10 degrees celsius, for each year.
Multiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 32 degrees celsius, for each year.
Multiannual average  of the Number of days per month, in which the average temperature oscillates between the  18 and 25 degrees celsius, for each year. </txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f6905281" URI="https://dataverse.harvard.edu/api/access/datafile/6905281" level="datafile"><labl>15 Oceania-ind_per_crop-yams.zip</labl><txt>Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 20 degrees celsius, for each year.
Multiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 40 degrees celsius, for each year. 
Multiannual average  of the Number of days per month, in which the average temperature oscillates between the  25 and 34 degrees celsius, for each year.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f6905250" URI="https://dataverse.harvard.edu/api/access/datafile/6905250" level="datafile"><labl>16 Oceania-banana-crop-aggregate.zip</labl><txt>Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 15 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days  per Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.month, in which the maximum temperature exceeds the 35 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days per month, in which the average temperature oscillates between the  24 and 27 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f6905261" URI="https://dataverse.harvard.edu/api/access/datafile/6905261" level="datafile"><labl>17 Oceania-barley-crop-aggregate.zip</labl><txt>Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 3 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 36 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days per month, in which the average temperature oscillates between the  18 and 24 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f6905262" URI="https://dataverse.harvard.edu/api/access/datafile/6905262" level="datafile"><labl>18 Oceania-bean-crop-aggregate.zip</labl><txt>Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 13.5 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 25.6 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days per month, in which the average temperature oscillates between the  17.5 and 23.1 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f6905258" URI="https://dataverse.harvard.edu/api/access/datafile/6905258" level="datafile"><labl>19 oceania-cassava-crop-aggregate.zip</labl><txt>Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 15 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 45 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days per month, in which the average temperature oscillates between the  22 and 32 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f6905265" URI="https://dataverse.harvard.edu/api/access/datafile/6905265" level="datafile"><labl>20 Oceania-cowpea-crop-aggregate.zip</labl><txt>Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 15 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 50 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days per month, in which the average temperature oscillates between the  20 and 35 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f6905254" URI="https://dataverse.harvard.edu/api/access/datafile/6905254" level="datafile"><labl>21 Oceania-maize-crop-aggregate.zip</labl><txt>Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 15 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 28 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days per month, in which the average temperature oscillates between the  28 and 29 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f6905263" URI="https://dataverse.harvard.edu/api/access/datafile/6905263" level="datafile"><labl>22 Oceania-pearl_millet-crop-aggregate.zip</labl><txt>Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 13.3 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 50 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days per month, in which the average temperature oscillates between the  12.4 and 17.8 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f6905264" URI="https://dataverse.harvard.edu/api/access/datafile/6905264" level="datafile"><labl>23 Oceania-potato-crop-aggregate.zip</labl><txt>Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 4 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 24 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days per month, in which the average temperature oscillates between the  12.4 and 17.8 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f6905255" URI="https://dataverse.harvard.edu/api/access/datafile/6905255" level="datafile"><labl>24 Oceania-rice-crop-aggregate.zip</labl><txt>Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 13 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 40 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days per month, in which the average temperature oscillates between the  20 and 35 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f6905260" URI="https://dataverse.harvard.edu/api/access/datafile/6905260" level="datafile"><labl>25 Oceania-sorghum-crop-aggregate.zip</labl><txt>Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 17.8 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 39.1 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days per month, in which the average temperature oscillates between the  26.7 and 37.4 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f6905257" URI="https://dataverse.harvard.edu/api/access/datafile/6905257" level="datafile"><labl>26 Oceania-soybean-crop-aggregate.zip</labl><txt>Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 14 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 37 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days per month, in which the average temperature oscillates between the  25 and 28 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f6905259" URI="https://dataverse.harvard.edu/api/access/datafile/6905259" level="datafile"><labl>27 Oceania-sweet_potato-crop-aggregate.zip</labl><txt>Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 15.5 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 35 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days per month, in which the average temperature oscillates between the  20 and 32 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f6905256" URI="https://dataverse.harvard.edu/api/access/datafile/6905256" level="datafile"><labl>28 Oceania-whea-crop-aggregate.zip</labl><txt>Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 10 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 32 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days per month, in which the average temperature oscillates between the  18 and 25 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat><otherMat ID="f6905266" URI="https://dataverse.harvard.edu/api/access/datafile/6905266" level="datafile"><labl>29 Oceania-yams-crop-aggregate.zip</labl><txt>Aggregation of agroclimate indicators, a multi-year average is calculated taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days  per month, in which the minimum temperature exceeds the 20 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days  per month, in which the maximum temperature exceeds the 40 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.
Multiannual average  of the Number of days per month, in which the average temperature oscillates between the  25 and 34 degrees celsius, for each year. Taking into account the following time periods 1983 - 2016, 1990 - 2016, 1995 - 2016, 2000 - 2016, 2005 - 2016, 2010 - 2016.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat></codeBook>