<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>On-farm performance of genetically improved rohu (Labeo rohita) in Bangladesh: Data</titl><IDNo agency="DOI">doi:10.7910/DVN/YWEBPK</IDNo></titlStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distDate>2022-09-01</distDate></distStmt><verStmt source="archive"><version date="2024-12-19" type="RELEASED">3</version></verStmt><biblCit>Hamilton, Matthew G.; Yeasin, Mohammed; Alam, Mohamad B; Ali, M.R; Fakhruddin, M.; Islam, M.M; Barman, Benoy Kumar; Shikuku, Kelvin Mashisia; Shelley, Colin; Rossignoli, Cristiano; Benzie, John, 2022, "On-farm performance of genetically improved rohu (Labeo rohita) in Bangladesh: Data", https://doi.org/10.7910/DVN/YWEBPK, Harvard Dataverse, V3, UNF:6:v4JlwJGCskvzqQi30/ikaA== [fileUNF]</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>On-farm performance of genetically improved rohu (Labeo rohita) in Bangladesh: Data</titl><IDNo agency="DOI">doi:10.7910/DVN/YWEBPK</IDNo><IDNo agency="MEL">36171</IDNo></titlStmt><rspStmt><AuthEnty affiliation="WorldFish">Hamilton, Matthew G.</AuthEnty><AuthEnty affiliation="WorldFish">Yeasin, Mohammed</AuthEnty><AuthEnty affiliation="WorldFish">Alam, Mohamad B</AuthEnty><AuthEnty affiliation="WorldFish">Ali, M.R</AuthEnty><AuthEnty affiliation="WorldFish">Fakhruddin, M.</AuthEnty><AuthEnty affiliation="WorldFish">Islam, M.M</AuthEnty><AuthEnty affiliation="WorldFish">Barman, Benoy Kumar</AuthEnty><AuthEnty affiliation="WorldFish">Shikuku, Kelvin Mashisia</AuthEnty><AuthEnty affiliation="WorldFish">Shelley, Colin</AuthEnty><AuthEnty affiliation="WorldFish">Rossignoli, Cristiano</AuthEnty><AuthEnty affiliation="WorldFish">Benzie, John</AuthEnty><othId role="Funder">United States Agency for International Development (USAID)</othId><othId role="Funder">Mississippi State University</othId><othId role="Funder">Bill &amp; Melinda Gates Foundation</othId><othId role="Other">Resilient Agrifood System-RAFS-AqFI</othId></rspStmt><prodStmt><producer affiliation="WorldFish">WorldFish</producer><prodDate>2022-08-22</prodDate><software>Excel</software><software>R Studio</software><grantNo agency="Feed the Future Bangladesh Aquaculture and Nutrition Activity">72038818IO00002</grantNo><grantNo agency="Feed the Future Innovation Lab for Fish">7200AA18CA00030</grantNo></prodStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distrbtr affiliation="WorldFish" URI="https://www.worldfishcenter.org/">WorldFish</distrbtr><contact affiliation="WorldFish" email="M.Hamilton@cgiar.org">Hamilton, Matthew G.</contact><contact affiliation="WorldFish" email="j.benzie@cgiar.org">Benzie, John</contact><depositr>WorldFish RDM Team</depositr><depDate>2022-09-01</depDate></distStmt><holdings URI="https://doi.org/10.7910/DVN/YWEBPK"/></citation><stdyInfo><subject><keyword xml:lang="en">Medicine, Health and Life Sciences</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_34683">rohu</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_34683">Labeo rohita</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_40064">Cyprinidae</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_11119">genetic improvement</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_3394">growth</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_8349">weight</keyword><keyword vocab="AGROVOC" vocabURI="http://aims.fao.org/aos/agrovoc/c_34003">genetic gain</keyword></subject><abstract>Data used for analyses detailed in Hamilton MG, Yeasin M, Alam MB, Ali MR, Fakhruddin M, Islam MM, Barman BK, Shikuku KM, Shelley CC, Rossignoli CM and Benzie JAH (2022) On-farm performance of genetically-improved rohu (Labeo rohita) in Bangladesh. Front. Aquac. 1:1060335. doi: 10.3389/faquc.2022.1060335</abstract><sumDscr><timePrd cycle="P1" event="start" date="2020-12-20">2020-12-20</timePrd><timePrd cycle="P1" event="end" date="2022-06-12">2022-06-12</timePrd><collDate cycle="P1" event="start" date="2020-12-20">2020-12-20</collDate><collDate cycle="P1" event="end" date="2022-06-12">2022-06-12</collDate><nation>Bangladesh</nation><dataKind>Experimental data</dataKind></sumDscr></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><setAvail><avlStatus>Indefinite embargo.  Available upon request.</avlStatus></setAvail><useStmt><disclaimer>&lt;P>
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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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Whilst utmost care has been taken by WorldFish 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, WorldFish, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data.
&lt;BR/>&lt;BR/>
By using the WorldFish 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. 
&lt;BR/>&lt;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><notes type="DVN:TOA" level="dv">For further information please contact Saadiah Ghazali S.Ghazali@cgiar.org</notes></dataAccs><othrStdyMat><relPubl><citation><titlStmt><titl>Hamilton MG, Yeasin M, Alam MB, Ali MR, Fakhruddin M, Islam MM, Barman BK, Shikuku KM, Shelley CC, Rossignoli CM and Benzie JAH (2022) On-farm performance of genetically-improved rohu (Labeo rohita) in Bangladesh. Front. Aquac. 1:1060335. doi: 10.3389/faquc.2022.1060335</titl><IDNo agency="handle">20.500.12348/5350</IDNo></titlStmt><biblCit>Hamilton MG, Yeasin M, Alam MB, Ali MR, Fakhruddin M, Islam MM, Barman BK, Shikuku KM, Shelley CC, Rossignoli CM and Benzie JAH (2022) On-farm performance of genetically-improved rohu (Labeo rohita) in Bangladesh. Front. Aquac. 1:1060335. doi: 10.3389/faquc.2022.1060335</biblCit></citation><ExtLink URI="https://hdl.handle.net/20.500.12348/5350"/></relPubl></othrStdyMat></stdyDscr><fileDscr ID="f6445414" URI="https://dataverse.harvard.edu/api/access/datafile/6445414"><fileTxt><fileName>On-farm performance of genetically improved rohu metadata.tab</fileName><dimensns><caseQnty>77</caseQnty><varQnty>2</varQnty></dimensns><fileType>text/tab-separated-values</fileType></fileTxt><notes level="file" type="VDC:UNF" subject="Universal Numeric Fingerprint">UNF:6:v4JlwJGCskvzqQi30/ikaA==</notes></fileDscr><otherMat ID="f7239241" URI="https://dataverse.harvard.edu/api/access/datafile/7239241" level="datafile"><labl>On-farm performance of genetically improved rohu data-1_ANO.csv</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/csv</notes></otherMat></codeBook>