This file was generated on 2025-07-16 by by Fatima Salaheldin Mohamed Ali A GENERAL INFORMATION 1. Title of the dataset: Systematic Literature Review (SLR) Data 2. Brief description of the research project and its aims: This dataset presents the compiled results of a systematic literature review on the valuation of forest ecosystem services in Sub-Saharan Africa, covering studies published between 2000 and 2023. It quantifies the prevalence and characteristics of various valuation approaches, analyzing the extent to which they incorporate participatory versus non-participatory methods. The review protocol was developed based on the IPBES pluralistic valuation framework, the Millennium Ecosystem Assessment (MA) valuation framework, and the Common International Classification of Ecosystem Services (CICES). 3. Author Information A. Investigator Contact Information Name: Fatima Salaheldin Mohamed Ali Institution: Center for Development for Research, University of Bonn Address: Genscherallee 3 - D-53113 Bonn - Germany Email: s7faalii@uni-bonn.de B. Project Supervisor (Principal Investigator) Contact Information Name: Lisa Biber-Freudenberger Institution: Center for Development for Research, University of Bonn Address: Genscherallee 3 - D-53113 Bonn - Germany Email: lfreuden@uni-bonn.de C. In case of questions related to this dataset, please contact: Name: Fatima Salaheldin Mohamed Ali Institution: Center for Development for Research, University of Bonn Address: Genscherallee 3 - D-53113 Bonn - Germany Email: s7faalii@uni-bonn.de 4. Date of data collection: First search: 2021- 07- 16 , for the period 1 January 2000 to 16 July 2021. Second search 2023-08-01 , for period 2021-08-01 to 2023-08-11 5. Information about funding sources that supported the collection of the data: The German Academic Exchange Service (DAAD) scholarship Pathways to Research scholarship , University of Bonn 6. Language of the dataset: English 7. Geographic location of data collection: Online B DATA & FILE OVERVIEW 1. File List: ReadMe.txt: This file provides a comprehensive overview and guide to the contents and structure of this repository. 1.Search_string_SLR_01072021.txt: This document details the specific search strings employed in Web of Science to identify relevant papers for the systematic review. 2.First_search_all_568 _papers.xlsx: This file contains the full record of paper results after applying the search string in Web of Science for the first search. It consists of raw data with classification column indicate the filter of the paper based on the first scan (related , not related , out). 3.First_search_with_exclusion_inclusion_description_16072021.xlsx: This raw data file provides a full list of papers considered for the first search, detailing the specific reasons for their exclusion or inclusion. 4.Second_search_all_226_papers_01082023.xlsx: This file contains the full record of paper results after applying the search string in Web of Science for the second search. It consists of raw data without any manipulation. 5.Second_search_with_exclusion_inclusion_description_01082023.xlsx: This raw data file provides a full list of papers considered for the second search, detailing the specific reasons for their exclusion or inclusion. 6.Inclusion_exclusion_criteria_summary_SLR_01072021.txt: This document summarizes the comprehensive exclusion and inclusion criteria applied at each stage of the systematic literature review's paper screening process (first scan, second scan, and full-text review). It summarizes the exclusion and inclusion criteria for the first and second searches, which are mentioned in detail for each individual paper in the Excel sheets ( 2.First_search_with_exclusion_inclusion_description_16072021.xlsx , 5.Second_search_with_exclusion_inclusion_description_01082023). Furthermore, it outlines the specific thematic and methodological reasons for including or excluding papers from the final analysis, ensuring transparency and replicability of the selection process (e.g., how valuation studies were defined). 7.Metadata_SLR_23012024.xlsx: This metadata file provides technical specifications for the dataset variables. It includes information on variable renaming for R analysis, a description explaining what each variable means with an example, data types (numeric, text), and details for Sub Setting data for specific graphs or visualizations. 8.Dataset1_all_records.xlsx: File containing the comprehensive, raw extracted and coded data from 156 initial papers. It encompasses all variables defined in the metadata, serving as the foundational dataset for the systematic literature review. 9.Dataset2_all_records_without_two_papers.xlsx: This dataset contains the same comprehensive raw data as Dataset1_all_records, with the exception of two papers (rows) that were removed because their ecosystem type did not align with the "forest" definition. It maintains the identical data structure as Dataset1, and is specifically prepared for and used by the SLR_analysis.R script for particular analytical tasks, such as creating further data subsets for specific research questions using the 7.Metadata_SLR_23012024.xlsx file. 10.Home_distance_km_forest_SLR_06052024.pdf: This document elaborates on how the reviewed literature approaches and analyzes the concept of "home proximity" or the "home distance to forest" hypothesis. 11.SLR_analysis.R: This R script is used for data analysis, organized with headings and subheadings corresponding to the generated graphs and visualizations. Users should update the working directory. 12.R_citation.Bib: A BibTeX file containing citations for all R libraries utilized in the analysis script. 2. Are there multiple versions of the dataset? yes/no 2.1 If yes, name of file(s) that was updated: yes i. Why was the file updated? to include more recent papers in SLR ii. When was the file updated? Second search 01-08-2023. 3. Relationship between files: the metadata and dataset3 will be open at R script 4. Additional related data collected that was not included in the current data package: C SHARING/ACCESS INFORMATION 1. Was data derived from another source? Web of Science 2. Licenses/restrictions placed on the data: Open source papers, If the papers are not open source, they can be downloaded from ResearchGate. 3. Links to publications that cite or use the data: https://doi.org/10.1007/s43621-025-00907-5. 4. Links to other publicly accessible locations of the data: na 5. Links/relationships to ancillary datasets: NAP D METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data: We followed PRISMA guidelines method , and develop inclusion and exclusion criteria this could be found on the document of inclusion and exclusion criteria summary. 2. Methods for processing the data: All the selected papers included in excel sheet , then analysis them based on our analysis framework which is based on Millennium Ecosystem Assessment (MA) framework , Common International Classification of Ecosystem Services. we visualization the number of papers tackle different valuation aspects comparing between participatory and non-participatory papers. 3. Instrument- and/or software-specific information needed to interpret the data: R software 4. People involved in sample collection, processing, analysis and/or submission: Only the first author 5. Describe any quality-assurance procedures performed on the data: Good quality 6. Standards and calibration information: The analysis done based on research framework 7. Environmental/experimental conditions: No E DATA-SPECIFIC INFORMATION FOR: NAP 1. Variable list including full names and definitions of column headings for tabular data: Is included on metadata file , named Metada_SLR_23012024_v3 2. Units of measurement used: If the topic of the column covered in the examined paper give it 1 if not is 0 then. other columns not include 0 and 1 is text description 3. Missing data codes/symbols: NAP 4. Specialized formats or other abbreviations used: NAP