Worldfish Silver Carp Genetic Improvement Program G1 families (doi:10.7910/DVN/PPJSKR)

View:

Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Entire Codebook

Document Description

Citation

Title:

Worldfish Silver Carp Genetic Improvement Program G1 families

Identification Number:

doi:10.7910/DVN/PPJSKR

Distributor:

Harvard Dataverse

Date of Distribution:

2020-01-30

Version:

1

Bibliographic Citation:

Hamilton, Matthew G., 2020, "Worldfish Silver Carp Genetic Improvement Program G1 families", https://doi.org/10.7910/DVN/PPJSKR, Harvard Dataverse, V1, UNF:6:yANzjq2kkCY85kNUmeJmZg== [fileUNF]

Study Description

Citation

Title:

Worldfish Silver Carp Genetic Improvement Program G1 families

Identification Number:

doi:10.7910/DVN/PPJSKR

Identification Number:

16204

Authoring Entity:

Hamilton, Matthew G. (WorldFish)

Other identifications and acknowledgements:

CGIAR System Office - CGIAR - Sys

Other identifications and acknowledgements:

FISH CRP

Producer:

WorldFish

Date of Production:

2019-05-11

Distributor:

Harvard Dataverse

Distributor:

WorldFish

Access Authority:

Hamilton, Matthew

Date of Deposit:

2020-01-30

Holdings Information:

https://doi.org/10.7910/DVN/PPJSKR

Study Scope

Keywords:

Medicine, Health and Life Sciences, Aquaculture, Genetic selection, Fish genetics, Selective breeding, Silver carp, Hypophthalmichthys molitrix

Abstract:

List of parents of G1 families

Country:

Bangladesh

Geographic Coverage:

Jashore

Notes:

Type: Dataset; Sub-type(s): Other (List of families generated in selective breeding program)

Methodology and Processing

Sources Statement

Data Access

Disclaimer:

<P> 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. <BR/><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. <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. </P>

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> <Strong>Disclaimer</Strong> <P> 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. <BR/><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. <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. </P>

Other Study Description Materials

File Description--f3674840

File: 2019_silver_carp_families-1.tab

  • Number of cases: 222

  • No. of variables per record: 5

  • Type of File: text/tab-separated-values

Notes:

UNF:6:oRI6XkH5Z9MZDZa67bycvQ==

Data

File Description--f3674841

File: Variable's Code- 2019_silver_carp_families.tab

  • Number of cases: 5

  • No. of variables per record: 5

  • Type of File: text/tab-separated-values

Notes:

UNF:6:U7KlTq838GlvT/otu0AQ6A==

Codebook