The sustainable production of safe, nutritious food — and ensuring reliable access for consumers — is essential to advancing developing nations. Led by a collaboration between Purdue University and Cornell University, the Feed the Future Innovation Lab for Food Safety aims to enhance global agricultural sustainability and resilience, as well as food security. Our applied research leverages collective expertise in food safety, food production, nutrition and international development to reduce the global burden of foodborne disease.
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

11 to 20 of 69 Results
USAID-FSIL-BD20LT-ETZ5CU-data.tab
Nov 18, 2024 - Antibiotic Residues in Farmed Fish from Test and Control Ponds: Bangladesh 2023
Tabular Data - 2.2 KB - 11 Variables, 18 Observations - UNF:6:7VQNLEZYVN3w1How0H4arw==
Common Microbial Food Pathogens in Chicken Meat: Bangladesh 2021
Nov 18, 2024 - Bangladesh
Dey, Madan; Nazir, KHM Nazmul Hussain, 2025, "Common Microbial Food Pathogens in Chicken Meat: Bangladesh 2021", https://doi.org/10.7910/DVN/JQX61X, Harvard Dataverse, V1, UNF:6:WNaMxx09TwAkY7ZcOD5HVg== [fileUNF]
Chicken samples from Dhaka, Mymensingh, and Patuakhali were analyzed for both prevalence and microbial load of bacterial pathogens Escherichia coli, Salmonella, Staphylococcus, and Aliarcobacter. Pathogen prevalence determined by PCR. Microbial load determined by count on plated media (CFU/g).
USAID-FSIL-JQX61X-codebook.tab
Nov 18, 2024 - Common Microbial Food Pathogens in Chicken Meat: Bangladesh 2021
Tabular Data - 1.8 KB - 6 Variables, 11 Observations - UNF:6:UzyNBg9AZ0r/tUT2Po0y+A==
USAID-FSIL-JQX61X-microbial_load.tab
Nov 18, 2024 - Common Microbial Food Pathogens in Chicken Meat: Bangladesh 2021
Tabular Data - 3.8 KB - 5 Variables, 90 Observations - UNF:6:M37O1hWa6CweiWQrc1bG8Q==
USAID-FSIL-JQX61X-pathogens.tab
Nov 18, 2024 - Common Microbial Food Pathogens in Chicken Meat: Bangladesh 2021
Tabular Data - 722 B - 7 Variables, 12 Observations - UNF:6:lm8r+F68L5aCfbIM4/8A3g==
Food Safety Knowledge Attitudes and Practices (KAP)
Food Safety Knowledge Attitudes and Practices (KAP)
Oct 31, 2024 - Bangladesh
Dey, Madan; Dewan, Md. Farid; Khan, Md. Akhtaruzzaman; Rahman, Md. Saidur, 2025, "Food Safety Knowledge Attitudes and Practices (KAP)", https://doi.org/10.7910/DVN/GXVPSM, Harvard Dataverse, V1, UNF:6:jXGxb86E8cakjmio3ZjJzA== [fileUNF]
Fish value chain actors' KAP data were collected from July to September 2023. A total of 1140 individuals participated in the KAP survey, of which 240 were fish producers, 300 were respondents involved in fish trading, and 600 were fish consumers. Producers' data were collected from four districts (Mymensingh, Bogura, Jashore, and Rajshahi), and fi...
USAID-FSIL-BD20LT-KAP_Consumer-codebook.tab
Oct 31, 2024 - Food Safety Knowledge Attitudes and Practices (KAP)
Tabular Data - 12.2 KB - 6 Variables, 63 Observations - UNF:6:HN1hPCA9EahtJpOEfgi4qw==
USAID-FSIL-BD20LT-KAP_Consumer-data.tab
Oct 31, 2024 - Food Safety Knowledge Attitudes and Practices (KAP)
Tabular Data - 74.7 KB - 63 Variables, 600 Observations - UNF:6:hsAqR9zsyzYiR1nLJnFIyg==
USAID-FSIL-BD20LT-KAP_Consumer-questionnaire.pdf
USAID-FSIL-BD20LT-KAP_Consumer-questionnaire.pdf
Oct 31, 2024 - Food Safety Knowledge Attitudes and Practices (KAP)
Adobe PDF - 853.4 KB - MD5: c5e0e123836431ead39e732a71eb84c8
USAID-FSIL-BD20LT-KAP_Producer-codebook.tab
Oct 31, 2024 - Food Safety Knowledge Attitudes and Practices (KAP)
Tabular Data - 17.1 KB - 6 Variables, 84 Observations - UNF:6:C1m639LEDmvLurMfj7Bx2Q==
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.