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1 to 10 of 256 Results
Survey of production characteristics and performance of small-scale carp aquaculture systems in BangladeshEmbargoed
May 16, 2024
Rossignoli, Cristiano; Dam Lam, Rodolfo; Dompreh, Eric; Wang, Quanli; Gasparatos, Alexandros, 2023, "Survey of production characteristics and performance of small-scale carp aquaculture systems in Bangladesh", https://doi.org/10.7910/DVN/R01ZTM, Harvard Dataverse, V5
This dataset contains information about the production characteristics and socioeconomic performance of small-scale carp aquaculture systems in Bangladesh. The dataset was collected through a structured household survey with 4,540 producers from 54 upazilas (analogous to counties...
List of Artemia and Aquaculture Technologies Adopted Farmer Till 2023
Apr 18, 2024
Tonchangya, Body Preo; Islam, Seikh Razibul; Shahriar, Al; Rahman, Muhammad, 2024, "List of Artemia and Aquaculture Technologies Adopted Farmer Till 2023", https://doi.org/10.7910/DVN/JAAWDF, Harvard Dataverse, V1
This is a set of databases for 2532 farmers from 6 Upazila in Bangladesh (Chakaria, Cox's Bazar Sadar, Eid Gaon, Moheshkhali, Pelua and Teknaf) under the Artemia study. It categorized the farmers into 11 different farm types.
AllocateMate: An R package for mate allocation.
Apr 14, 2024
Hamilton, Matthew G., 2021, "AllocateMate: An R package for mate allocation.", https://doi.org/10.7910/DVN/Z1PXJJ, Harvard Dataverse, V4
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). Mati...
Gender integration in APART Project
Gender integration in APART Project
Apr 4, 2024
Rajaratnam, Surendran, 2022, "Gender integration in APART Project", https://doi.org/10.7910/DVN/U9FLMU, Harvard Dataverse, V2
The study was part of gender integration in the APART project. The Project Development Objective is to add value and improve the resilience of selected agriculture value chains, focusing on smallholder farmers and agro-entrepreneurs in targeted districts of Assam. Fish has been p...
Biological Sampling, Fish Nest Monitoring
Apr 2, 2024
Sean, Vichet; Ou, Phichong; Freed, Sarah; Sun, Vathanak, 2024, "Biological Sampling, Fish Nest Monitoring", https://doi.org/10.7910/DVN/YIF7FZ, Harvard Dataverse, V1
The purpose of this research, monitoring and evaluation is to report on required indicators and evaluate the effectiveness of CFR interventions on: • Improving fish biodiversity within the CFR, as assessed by Biological monitoring • Improving maintenance of fish biomass and abund...
Catch, consumption, and employment survey
Apr 1, 2024
Sean, Vichet; Ou, Phichong; Sun, Vathanak; Freed, Sarah, 2024, "Catch, consumption, and employment survey", https://doi.org/10.7910/DVN/QPOCXL, Harvard Dataverse, V1
Sampled households will meet one or more of the following criteria at the time of the first survey: 1) at least one household member conducted rice field fishing at least once in the past 12 months; 2) household members consumed fish at least once in the past 4 months; 3) at leas...
Community Fish Refuge (CFR) capacity assessment
Community Fish Refuge (CFR) capacity assessment
Apr 1, 2024
Sean, Vichet; Ou, Phichong; Sun, Vathanak, 2024, "Community Fish Refuge (CFR) capacity assessment", https://doi.org/10.7910/DVN/7TL1S1, Harvard Dataverse, V1
The CFR capacity assessment will be conducted using a tool was developed and utilized during the USAID funded Rice Field Fisheries project (see Kim et al., 2019). It will be conducted with CFR committees on an annual basis to assesses committee performance on five aspects of CFR...
Alternative seafood future scenario modelling
Mar 27, 2024
Marwaha, Nisha; Beveridge, Malcolm; Chan, Chin Yee; Phillips, Michael, 2022, "Alternative seafood future scenario modelling", https://doi.org/10.7910/DVN/4LEOEZ, Harvard Dataverse, V2
Two growth scenarios for both the plant-based seafood and cell-based seafood subsectors were developed to better understand the subsectors’ potential impact on food and nutrition security and livelihoods in low- and middle-income countries. Informed by a literature review and sta...
A Follow up Study on the Effects of Covid-19 on Fish Value Chains: Descriptive Evidence from India
Mar 26, 2024
Shikuku, Kelvin Mashisia, 2021, "A Follow up Study on the Effects of Covid-19 on Fish Value Chains: Descriptive Evidence from India", https://doi.org/10.7910/DVN/DAFKQV, Harvard Dataverse, V2
The current proposed study aims at assessing the impacts of the covid-19 pandemic on fish value chains in India. The specific objectives are threefold: 1) to assess the impacts of covid-19 on access by fish value chain actors to inputs including seed, feed, labour, lime, water qu...
Transfer of 50 thousand improved genetically improved farmed tilapia (GIFT) fry to Nigeria
Mar 25, 2024
Trinh, Trong, 2023, "Transfer of 50 thousand improved genetically improved farmed tilapia (GIFT) fry to Nigeria", https://doi.org/10.7910/DVN/BEJTMI, Harvard Dataverse, V3
The data contains the list of female broodstock that produced improved GIFT fry sent to Nigeria in three batches in 2022
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