Data for: Legume Products and Food Lifestyles: Data from a Comprehensive Consumer Survey

Name: Data for: Legume Products and Food Lifestyles: Data from a Comprehensive Consumer Survey
Published: 2026-04-30
License: http://creativecommons.org/licenses/by/4.0

Open this dataset in the live repository

Important usage condition: Use and redistribution are governed by CC BY 4.0. Review and comply with the license before using the data.

Persistent identifier: doi:10.60507/FK2/TAHX4J
Published version: 2.0
Publication date: 2026-04-30
License: CC BY 4.0

Description

This dataset contains results from a survey (n = 1,998) on German diets with a special focus on legume consumption and how this is associated with food-related lifestyles. This includes food consumption, food-related lifestyles, sociodemographics, legume consumption as well as knowledge, associations and opinions of legumes and legume containing meals. Data was collected between December 2024 and January 2025. 769 variables can be found in the dataset. The dataset is part of the StrahL project to develop target group specific strategies for an increased consumption of legumes in Germany. The dataset was used in the project to identify and describe various target groups (segments) and their legume consumption.

Creators

Suski, Pauline
Erben, Fabienne
Mörlein, Daniel
Jansen, Catherina
Quandt, Julian
Zühlsdorf, Anke
Ruppenthal, Tonia
Rückert-John, Jana
Lemken, Dominic

Keywords

sustainable nutrition, Legume consumption

Files

Before downloading: Use and redistribution are governed by CC BY 4.0. Review and comply with the license before using the data.

File	Type	Bytes	Checksum
survey_data-legumes_and_diets.xlsx	application/vnd.openxmlformats-officedocument.spreadsheetml.sheet	6021910	MD5 cee68b1d8e403ace4fa79ab715660d45
List-Variables.xlsx	application/vnd.openxmlformats-officedocument.spreadsheetml.sheet	42907	MD5 e27a16be1ea6c4b691809e26d276fa20
List-Value_Labels.xlsx	application/vnd.openxmlformats-officedocument.spreadsheetml.sheet	61947	MD5 918e7eebb851b364f97f6d623af33197
survey_data-legumes_and_diets.sav	application/x-spss-sav	2651583	MD5 082f4137a0673e1ada681dd2de1e2fd7
Survey_english.docx	application/vnd.openxmlformats-officedocument.wordprocessingml.document	73392	MD5 e0f671439ed62c003f9705f3b1442670
Suski_legumes-and-diets_Readme.txt	text/plain	9903	MD5 05b4f03c7ee5ea897dbe4f4972404708
Codebook.docx	application/vnd.openxmlformats-officedocument.wordprocessingml.document	90011	MD5 cd1be12428b78bc812e49b66bea21063
Survey_data-legumes_and_diets.csv	text/csv	3740640	MD5 b80bcf9a36347fb3af0b9c8f059a6fef

Citation

Suski, Pauline; Erben, Fabienne; Mörlein, Daniel; Jansen, Catherina; Quandt, Julian; Zühlsdorf, Anke; Ruppenthal, Tonia; Rückert-John, Jana; Lemken, Dominic, 2026-04-30, Data for: Legume Products and Food Lifestyles: Data from a Comprehensive Consumer Survey, doi:10.60507/FK2/TAHX4J, V2.0

Additional Dataverse fields

Id	788
Dataset Type	dataset
Internal Version Number	17
Latest Version Publishing State	RELEASED
Release Time	2026-07-24T08:40:58Z
Create Time	2026-07-21T11:58:29Z
Citation Date	2026-04-30
File Access Request	True

Export metadata

Static metadata exports available for this published dataset version:

Complete Dataverse metadata

Citation Metadata

Title title

Data for: Legume Products and Food Lifestyles: Data from a Comprehensive Consumer Survey

Author author

Author Name
Suski, Pauline
Author Affiliation
University of Bonn
Author Identifier Scheme
ORCID
Author Identifier
Type Name
authorIdentifier
Multiple
False
Type Class
primitive
Value
https://orcid.org/0000-0002-1017-9142
Expandedvalue
Person Name
Suski, Pauline
@id
https://orcid.org/0000-0002-1017-9142
Scheme
ORCID
@type
https://schema.org/Person
Author Name
Erben, Fabienne
Author Affiliation
Georg August University Göttingen
Author Name
Mörlein, Daniel
Author Affiliation
Georg August University Göttingen
Author Identifier Scheme
ORCID
Author Identifier
Type Name
authorIdentifier
Multiple
False
Type Class
primitive
Value
https://orcid.org/0000-0001-8235-4635
Expandedvalue
Person Name
Mörlein, Daniel
@id
https://orcid.org/0000-0001-8235-4635
Scheme
ORCID
@type
https://schema.org/Person
Author Name
Jansen, Catherina
Author Affiliation
Fulda University of Applied Sciences
Author Name
Quandt, Julian
Author Affiliation
corsus research gUG
Author Identifier Scheme
ORCID
Author Identifier
Type Name
authorIdentifier
Multiple
False
Type Class
primitive
Value
https://orcid.org/0000-0002-3753-3455
Expandedvalue
Person Name
Quandt, Julian
@id
https://orcid.org/0000-0002-3753-3455
Scheme
ORCID
@type
https://schema.org/Person
Author Name
Zühlsdorf, Anke
Author Affiliation
Zuehlsdorf & Partner PartG
Author Name
Ruppenthal, Tonia
Author Affiliation
Fulda University of Applied Sciences
Author Name
Rückert-John, Jana
Author Affiliation
Fulda University of Applied Sciences
Author Name
Lemken, Dominic
Author Affiliation
University of Bonn
Author Identifier Scheme
ORCID
Author Identifier
Type Name
authorIdentifier
Multiple
False
Type Class
primitive
Value
https://orcid.org/0000-0001-8290-1838
Expandedvalue
Person Name
Lemken, Dominic
@id
https://orcid.org/0000-0001-8290-1838
Scheme
ORCID
@type
https://schema.org/Person

Dataset Contact datasetContact

Dataset Contact Name
Suski, Pauline
Dataset Contact Affiliation
University of Bonn
Dataset Contact Email
pauline.suski@ilr.uni-bonn.de

Ds Description dsDescription

Ds Description Value
This dataset contains results from a survey (n = 1,998) on German diets with a special focus on legume consumption and how this is associated with food-related lifestyles. This includes food consumption, food-related lifestyles, sociodemographics, legume consumption as well as knowledge, associations and opinions of legumes and legume containing meals. Data was collected between December 2024 and January 2025. 769 variables can be found in the dataset. The dataset is part of the StrahL project to develop target group specific strategies for an increased consumption of legumes in Germany. The dataset was used in the project to identify and describe various target groups (segments) and their legume consumption.

Subject subject

Social Sciences

Free Keyword freeKeyword

Free Keyword Value
sustainable nutrition
Free Keyword Value
Legume consumption

Publication publication

Publication Relation Type
IsCitedBy
Publication Citation
Suski, P., Erben, F., Mörlein, D., Jansen, C., Quandt, J., Zühlsdorf, A., Ruppentahl, T., Rückert-John, J., Lemken, D., under review. Legume Products and Food Lifestyles: Data from a Comprehensive Consumer Survey. Data in Brief.
Publication Relation Type
IsCitedBy
Publication Citation
Erben, F.; Suski, P.; Strack, M.; Lemken, D.; Mörlein, D. (2026): Consumer segmentation based on food-related lifestyles for targeted promotion of legume consumption in Germany. In: Food Research International 242, S. 119852. DOI: 10.1016/j.foodres.2026.119852.
Publication IDType
doi
Publication IDNumber
10.1016/j.foodres.2026.119852
Publication URL
https://doi.org/10.1016/j.foodres.2026.119852

Language language

English

Production Place productionPlace

Germany

Grant Number grantNumber

Grant Number Agency
Federal Ministry of Agriculture, Food and Regional Identity (BMLEH)
Grant Number Value
Grant 2822EPS020

Depositor depositor

Suski, Pauline

Date Of Deposit dateOfDeposit

2026-03-03

Date Of Collection dateOfCollection

Date Of Collection Start
2024-12-12
Date Of Collection End
2025-01-6

Kind Of Data kindOfData

Survey data

Software software

Software Name
SPSS
Software Version
31

Expected crawler behaviour

Use a stable, truthful User-Agent with product/version and a working contact URL. Across all IP addresses and HTTP connections used by one crawler identity, allow no more than 5 requests in flight and wait at least 20 seconds between request starts. Crawl URLs listed in the catalog sitemap, including file pages and download URLs when they are published, use conditional requests, honor Retry-After, and apply exponential backoff after errors.

The welcome page may link to the interactive repository for human navigation. Automated clients must not treat that human link as a catalog crawl target.

Read the live machine-readable crawler policy before and during a crawl. Stop crawling when it reports CPU or memory utilization at or above 80% and 80% respectively.