This file was generated on 2025-07-28 by HANNAH KAMAU A GENERAL INFORMATION 1. Title of the dataset: Bibliographic data for gender and ethnicity analysis 2. Brief description of the research project and its aims: The data was extracted from the peer-reviewed articles indexed in the Web of Science (WoS), and published between 2000 and 2021. The data was collected from 6 research areas namely agriculture, environmental sciences and ecology, water resources, energy and fuels, biodiversity conservation, and forestry. The data was extracted on 25th May 2021 and the search query used was "topic = land, AND document type = Article, AND language = English, and time span = 2000-2021". 3. Author Information A. Investigator Contact Information Name: Hannah Kamau Institution: Center for Development Research Address: Genscheralle 3, 53115 Bonn Email: hkamau@uni-bonn.de B. Project Supervisor (Principal Investigator) Contact Information Name: Lisa Biber-Freudenberger Institution: Center for Development Research Address: Genscheralle 3, 53115 Bonn Email: lfreuden@uni-bonn.de C. In case of questions related to this dataset, please contact: Name: Hannah Kamau Institution: Center for Development Research Address: Genscheralle 3, 53115 Bonn Email: hkamau@uni-bonn.de 4. Date of data collection: 2021-05-25 5. Information about funding sources that supported the collection of the data: Bundesministerium für Building und Forschung (01UU2002) 6. Language of the dataset:English 7. Geographic location of data collection : Global B DATA & FILE OVERVIEW 1. File List: all_raw.csv all_short.csv 2. Are there multiple versions of the dataset? no 3. Relationship between files: all_raw.csv is the original data obtained from all the peer reviewed articles containing 66 variables while all_short.csv was the dataset used for the analysis of gender and ethnicity. This dataset is a reduced version with 40 variables. 4. Additional related data collected that was not included in the current data package: No C SHARING/ACCESS INFORMATION 1. Was data derived from another source?: Web of Science 2. Licenses/restrictions placed on the data: None 3. Links to publications that cite or use the data : https://doi.org/10.1080/1747423X.2021.2015001 4. Links to other publicly accessible locations of the data: N/A 5. Links/relationships to ancillary datasets : N/A D METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data: The data was sourced from Clarivate's Web of Science database. The search query used included 'topic = land, AND document type = Article, AND language = English, AND time span = 2000-2021' 2. Methods for processing the data: We sourced 316,390 articles which the passed through an inclusion-exclusion criteria in R and Excel. The screening scheme ensured that only journal articles were included, that the research area variable only had articles with research areas relevant to land use science such as agriculture, environmental sciences and ecology, biodiversity and conservation, forestry, water resources, and energy and fuel, and exclusion of articles with more than 20 authors, and lastly duplicate studies were removed. 3. Instrument- and/or software-specific information needed to interpret the data: R and R Studio 4. People involved in sample collection, processing, analysis and/or submission: Uyen Tran: Data collection, processing, analysis Hannah Kamau: analysis, submission 5. Describe any quality-assurance procedures performed on the data: N/A 6. Standards and calibration information: N/A 7. Environmental/experimental conditions: N/A E DATA-SPECIFIC INFORMATION FOR: Codebook.csv In columns 2 and 3, Y indicates that the variable is present in the file listed and N indicates that the variable is not in the listed file. Column 5 denotes how missing data is recorded in a variable. Where there is missing data, it is denoted by NA and in variables without missing data the row is empty.