WorldFish Dataverse

WorldFish research is regarded as international public goods, and we are committed to the widespread dissemination of all our information products. One of the organizational objectives is to make all of its products open. This is in line with both the Center’s Research Data Management and Open Access Policy and the CGIAR Open Access and Data Management Policy. Opening our research, including publications, data and tools, ensures that more people can read and apply our research findings, thereby increasing the efficiency, reach and impact of our work.

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Fish Trade Project

Nutritious Pond Project

Aquaculture: increasing income, diversifying diets, and empowering women in Bangladesh and Nigeria

Blue Economy Challenge Project

Feed the Future Bangladesh Aquaculture and Nutrition Activity (BANA)

Fish for Livelihoods (F4L)

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21 to 30 of 309 Results

A dataset listing the parents of the G19 GIFT growth line families Jan 7, 2025 Mahmuddin, Mahirah; Hamilton, Matthew, 2025, "A dataset listing the parents of the G19 GIFT growth line families", https://doi.org/10.7910/DVN/PUS6YK, Harvard Dataverse, V1 This dataset recorded 60 parents of the G19 GIFT growth line families spawned from January to April 2024. Data contains the date of egg collection, count at collection and date of fry collection.
Dataset for AABS baseline/characterization in Kenya (wp2) Jan 6, 2025 Brako Dompreh, Eric; Zewdie, Markose; Manyise, Timothy; Chelanga, Philemon; Kangogo, Daniel, 2025, "Dataset for AABS baseline/characterization in Kenya (wp2)", https://doi.org/10.7910/DVN/FZQ5HJ, Harvard Dataverse, V1 In October 2024, data were collected from 739 mariculture and seaweed farmers across target counties in Kenya through computer-assisted personal interviews (CAPIs) conducted on mobile tablets by 28 trained enumerators. A KoBo-based questionnaire was utilized. Multistage sampling was employed to select farmers and value-chain stakeholders. This stud...
One Health Initiative: Intervention participation survey Jan 3, 2025 Rheman, Shafiq; Khor, Laura; Hossain, Sabrina; Ghazali, Saadiah; Delamare-Deboutteville, Jerome; Chadag, Vishnumurthy Mohan, 2025, "One Health Initiative: Intervention participation survey", https://doi.org/10.7910/DVN/0ILUHR, Harvard Dataverse, V1 This deliverable includes all major files for the OHI intervention participation cross-sectional survey and intervention survey participation questionnaire
FISH FOR LIVELIHOODS (F4L) MIDLINE STUDY DATASET IN MYANMAR Dec 23, 2024 Brako Dompreh, Eric; Khaing, Htet, 2024, "FISH FOR LIVELIHOODS (F4L) MIDLINE STUDY DATASET IN MYANMAR", https://doi.org/10.7910/DVN/APYUS3, Harvard Dataverse, V1 A comprehensive dataset was collected in 2024 from 800 households across 6 diverse regions of Myanmar to discover the impact of adopting Better Management Practices (BMPs) on local livelihoods. Data collection focused on assessing socio-economic characteristics, production characteristics, household-level knowledge, attitudes, and practices concern...
One Health Initiative: Agrovet Shop Survey Dataset Dec 23, 2024 Rheman, Shafiq; Khor, Laura; Verner-Jeffreys, David; Hossain, Sabrina; Delamare-Deboutteville, Jerome, 2024, "One Health Initiative: Agrovet Shop Survey Dataset", https://doi.org/10.7910/DVN/OBIFXT, Harvard Dataverse, V1 We conducted discussions with agrovet business to generate data needed for a study on economic and social aspects of using aquamedicines. Shops were randomly selected to participate in this discussion. Some specific questions were asked regarding practices, knowledge and sales of veterinary medicines.
Genetically Improved Abbassa Nile Tilapia (GIANT) strain Generation 18 data Dec 18, 2024 Attia, Sameh; Mengistu, Samuel; Hamilton, Matthew, 2024, "Genetically Improved Abbassa Nile Tilapia (GIANT) strain Generation 18 data", https://doi.org/10.7910/DVN/JKINSS, Harvard Dataverse, V1 Identifiers, parents and spawning date for all families produced in the WorldFish G18 Abbassa Nile Tilapia (GIANT) strain.
Prediction of resistance to TiLV in the selection of parents for G20 Dec 16, 2024 Mahmuddin, Mahirah; Hamilton, Matthew, 2024, "Prediction of resistance to TiLV in the selection of parents for G20", https://doi.org/10.7910/DVN/FOHWTK, Harvard Dataverse, V1 Prediction of resistance to natural tilapia lake virus (TiLV) in the selection of parents for G20 including EBVs for challenge test survival and allele counts for QTL for TiLV natural (i.e. immersion) resistance.
Trait Preference Coefficients that scale economic weights Dec 16, 2024 Adams, Chris; Byrne, Tim; Cole, Steven, 2024, "Trait Preference Coefficients that scale economic weights", https://doi.org/10.7910/DVN/YETK9X, Harvard Dataverse, V1 Respondent trait preferences (observed preference) were calculated using the 1000minds survey. The expected preference is calculated from the monetary worth of the trait improvement offered in the survey. The observed preferences were divided by the expected preferences to get trait preference coefficients. The trait preference coefficients were th...
SADC_PROFISHBLUE _ The Digital Fisheries Information System (FIS) Malawi Survey data set Dec 11, 2024 Hossain, Peerzadi; Kakwasha, Keagan; Mudege, Netsayi; Mumba, Peter; Maluwa, Alinafe; Kondowe, Jonah, 2024, "SADC_PROFISHBLUE _ The Digital Fisheries Information System (FIS) Malawi Survey data set", https://doi.org/10.7910/DVN/IGKCNP, Harvard Dataverse, V1 This metadata form provides a description of the household dataset for the Digital Fisheries Information System (FIS). The Malawi study was conducted in the five districts of the southern part (i.e., Zomba, Blantyre, Mulanje, Chikwawa and Mangochi) to interview in total of five hundred people, including fishers (200) and fish farmers (300). The stu...
GIFT TiLV Generation 20 (GIFT TiLV G20) production data Nov 26, 2024 Mahmuddin, Mahirah; Hamilton, Matthew; Izadi, Fariba, 2024, "GIFT TiLV Generation 20 (GIFT TiLV G20) production data", https://doi.org/10.7910/DVN/KEVEYP, Harvard Dataverse, V1 Third selection of Genetically Improved Fish Tilapia (GIFT) TiLV line production data. The database categorizes 78 unique fish and includes information on their spawning date, date of fry transfer to the nursing pond, and weight in grams before and after spawning.

A dataset listing the parents of the G19 GIFT growth line families

Jan 7, 2025

Mahmuddin, Mahirah; Hamilton, Matthew, 2025, "A dataset listing the parents of the G19 GIFT growth line families", https://doi.org/10.7910/DVN/PUS6YK, Harvard Dataverse, V1

This dataset recorded 60 parents of the G19 GIFT growth line families spawned from January to April 2024. Data contains the date of egg collection, count at collection and date of fry collection.

Dataset for AABS baseline/characterization in Kenya (wp2)

Jan 6, 2025

Brako Dompreh, Eric; Zewdie, Markose; Manyise, Timothy; Chelanga, Philemon; Kangogo, Daniel, 2025, "Dataset for AABS baseline/characterization in Kenya (wp2)", https://doi.org/10.7910/DVN/FZQ5HJ, Harvard Dataverse, V1

In October 2024, data were collected from 739 mariculture and seaweed farmers across target counties in Kenya through computer-assisted personal interviews (CAPIs) conducted on mobile tablets by 28 trained enumerators. A KoBo-based questionnaire was utilized. Multistage sampling was employed to select farmers and value-chain stakeholders. This stud...

One Health Initiative: Intervention participation survey

Jan 3, 2025

Rheman, Shafiq; Khor, Laura; Hossain, Sabrina; Ghazali, Saadiah; Delamare-Deboutteville, Jerome; Chadag, Vishnumurthy Mohan, 2025, "One Health Initiative: Intervention participation survey", https://doi.org/10.7910/DVN/0ILUHR, Harvard Dataverse, V1

This deliverable includes all major files for the OHI intervention participation cross-sectional survey and intervention survey participation questionnaire

FISH FOR LIVELIHOODS (F4L) MIDLINE STUDY DATASET IN MYANMAR

Dec 23, 2024

Brako Dompreh, Eric; Khaing, Htet, 2024, "FISH FOR LIVELIHOODS (F4L) MIDLINE STUDY DATASET IN MYANMAR", https://doi.org/10.7910/DVN/APYUS3, Harvard Dataverse, V1

A comprehensive dataset was collected in 2024 from 800 households across 6 diverse regions of Myanmar to discover the impact of adopting Better Management Practices (BMPs) on local livelihoods. Data collection focused on assessing socio-economic characteristics, production characteristics, household-level knowledge, attitudes, and practices concern...

One Health Initiative: Agrovet Shop Survey Dataset

Dec 23, 2024

Rheman, Shafiq; Khor, Laura; Verner-Jeffreys, David; Hossain, Sabrina; Delamare-Deboutteville, Jerome, 2024, "One Health Initiative: Agrovet Shop Survey Dataset", https://doi.org/10.7910/DVN/OBIFXT, Harvard Dataverse, V1

We conducted discussions with agrovet business to generate data needed for a study on economic and social aspects of using aquamedicines. Shops were randomly selected to participate in this discussion. Some specific questions were asked regarding practices, knowledge and sales of veterinary medicines.

Genetically Improved Abbassa Nile Tilapia (GIANT) strain Generation 18 data

Dec 18, 2024

Attia, Sameh; Mengistu, Samuel; Hamilton, Matthew, 2024, "Genetically Improved Abbassa Nile Tilapia (GIANT) strain Generation 18 data", https://doi.org/10.7910/DVN/JKINSS, Harvard Dataverse, V1

Identifiers, parents and spawning date for all families produced in the WorldFish G18 Abbassa Nile Tilapia (GIANT) strain.

Prediction of resistance to TiLV in the selection of parents for G20

Dec 16, 2024

Mahmuddin, Mahirah; Hamilton, Matthew, 2024, "Prediction of resistance to TiLV in the selection of parents for G20", https://doi.org/10.7910/DVN/FOHWTK, Harvard Dataverse, V1

Prediction of resistance to natural tilapia lake virus (TiLV) in the selection of parents for G20 including EBVs for challenge test survival and allele counts for QTL for TiLV natural (i.e. immersion) resistance.

Trait Preference Coefficients that scale economic weights

Dec 16, 2024

Adams, Chris; Byrne, Tim; Cole, Steven, 2024, "Trait Preference Coefficients that scale economic weights", https://doi.org/10.7910/DVN/YETK9X, Harvard Dataverse, V1

Respondent trait preferences (observed preference) were calculated using the 1000minds survey. The expected preference is calculated from the monetary worth of the trait improvement offered in the survey. The observed preferences were divided by the expected preferences to get trait preference coefficients. The trait preference coefficients were th...

SADC_PROFISHBLUE _ The Digital Fisheries Information System (FIS) Malawi Survey data set

Dec 11, 2024

Hossain, Peerzadi; Kakwasha, Keagan; Mudege, Netsayi; Mumba, Peter; Maluwa, Alinafe; Kondowe, Jonah, 2024, "SADC_PROFISHBLUE _ The Digital Fisheries Information System (FIS) Malawi Survey data set", https://doi.org/10.7910/DVN/IGKCNP, Harvard Dataverse, V1

This metadata form provides a description of the household dataset for the Digital Fisheries Information System (FIS). The Malawi study was conducted in the five districts of the southern part (i.e., Zomba, Blantyre, Mulanje, Chikwawa and Mangochi) to interview in total of five hundred people, including fishers (200) and fish farmers (300). The stu...

GIFT TiLV Generation 20 (GIFT TiLV G20) production data

Nov 26, 2024

Mahmuddin, Mahirah; Hamilton, Matthew; Izadi, Fariba, 2024, "GIFT TiLV Generation 20 (GIFT TiLV G20) production data", https://doi.org/10.7910/DVN/KEVEYP, Harvard Dataverse, V1

Third selection of Genetically Improved Fish Tilapia (GIFT) TiLV line production data. The database categorizes 78 unique fish and includes information on their spawning date, date of fry transfer to the nursing pond, and weight in grams before and after spawning.

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