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41 to 50 of 309 Results
Bangladesh Data Gap Study Expert Interviews
Oct 16, 2024
Dam Lam, Rodolfo; Rashid, Mohammad Mamun; Barman, Benoy; Rossignoli, Cristiano, 2024, "Bangladesh Data Gap Study Expert Interviews", https://doi.org/10.7910/DVN/LHHWJU, Harvard Dataverse, V1
Knowledge gap study across Bangladesh's Aquatic Food Systems
Zambia Data Gap Study Expert Interviews
Oct 16, 2024
Dam Lam, Rodolfo; Kakwasha, Keagan; Mudege, Netsayi; Rossignoli, Cristiano, 2024, "Zambia Data Gap Study Expert Interviews", https://doi.org/10.7910/DVN/LG7LNC, Harvard Dataverse, V1
Knowledge gap study across Zambia's Aquatic Food Systems
List of Artemia and Aquaculture Technologies Adopted Farmers Till 31 July 2024
Oct 6, 2024
Rahman, Muhammad, 2024, "List of Artemia and Aquaculture Technologies Adopted Farmers Till 31 July 2024", https://doi.org/10.7910/DVN/9BN8Y8, Harvard Dataverse, V1
This is a farmers' database for Artemia and Aquaculture Technologies Adopted Farmers project during the period of 2020-2024 in Cox's Bazar, Bangladesh. Ten technologies listed were Artemia pond culture, tilapia culture in Artemia Ponds, shrimp nursery, shrimp grow-out, improved traditional aquaculture in the salt farms, carp-mola-tilapia culture in...
WorldFish catla carp families 2024
Oct 1, 2024
Hamilton, Matthew, 2024, "WorldFish catla carp families 2024", https://doi.org/10.7910/DVN/EWQSCK, Harvard Dataverse, V1
Identifiers, list of parents and spawning date of all WorldFish Catla Genetic Improvement Program Families produced in 2024
Baseline (Scoping) Study, Dataset
Aug 8, 2024
Henriksson, Patrik; Baioumi, Alaaeldin; Abd Elwahab, Noura; Nasr-Allah, Ahmed; Fathi, Mohamed; Rashad, Mahmoud, 2024, "Baseline (Scoping) Study, Dataset", https://doi.org/10.7910/DVN/IKVVES, Harvard Dataverse, V1
Aquaculture is vital to Egypt’s economy and food security, with farmed fish accounting for 78% of all aquatic foods consumed domestically. The industry has progressed from traditional extensive systems to modern semi-intensive and intensive systems, driven by government policies and private investments. However, the sector also exerts significant e...
TILAPIA AQUACULTURE CHARACTERIZATION STUDY INDIA
Jul 31, 2024
Brako Dompreh, Eric, 2024, "TILAPIA AQUACULTURE CHARACTERIZATION STUDY INDIA", https://doi.org/10.7910/DVN/Z9G3TW, Harvard Dataverse, V1
This is a farmer survey dataset of tilapia aquaculture farmers in India. The survey was conducted in December 2023 to understand the characteristics of tilapia aquaculture production systems in India. The survey modules consisted of areas including demography, production, marketing, food security, institutional characteristics and poverty.
AllocateMate: An R package for mate allocation.
Jul 10, 2024
Hamilton, Matthew G., 2021, "AllocateMate: An R package for mate allocation.", https://doi.org/10.7910/DVN/Z1PXJJ, Harvard Dataverse, V5
AllocateMate is a R package comprised of two primary functions: allocate.mate.ped and allocate.mate.H. These functions allocate parents to mating pairs based on genetic relationships provided by the user in the form a pedigree file or a relationship matrix (allocate.mate.H). Mating lists are generated (i)that minimise the average Wright’s inbreedin...
Artemia instar 1 Fatty Acid Methyl Ester (FAME) analysis
Jul 4, 2024
Dumoulin, Augustin; Rahman, Muhammad, 2024, "Artemia instar 1 Fatty Acid Methyl Ester (FAME) analysis", https://doi.org/10.7910/DVN/S3FPM1, Harvard Dataverse, V1
This Excel file contains the results of Highly unsaturated Fatty Acid (HUFA), Dry Weight (DW), and Wet weight (WW) through FAME analysis of Artemia instar 1 from Chowfaldandi and BSCIC areas
Ecohydrological data of Naf-Saint Martin’s Peninsula
Jul 4, 2024
Sarker, Subrata; Nahiduzzaman, Md, 2024, "Ecohydrological data of Naf-Saint Martin’s Peninsula", https://doi.org/10.7910/DVN/MT2MAX, Harvard Dataverse, V1, UNF:6:vB9Y5MTH66mN+OyVc5pE+Q== [fileUNF]
This data set contains vertical profiles of environmental variables. In addition, biodiversity data from the Naf-Saint Martin’s Peninsula is also available.
Small Fish consumption Dataset
Jul 4, 2024
Rizaldo, Quennie, 2024, "Small Fish consumption Dataset", https://doi.org/10.7910/DVN/B0WYPP, Harvard Dataverse, V1, UNF:6:Lz2sXMR7R6RBFp7ODQzyiw== [fileUNF]
The data was collected in 2017 for the project ‘Promoting sustainable growth of aquaculture in Myanmar to improve food security and income for communities’ (MYFC), funded by the Livelihoods and Food Security fund. We collected the data from one member of each household based on the following: (1) socio-demographic information on family composition,...
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