Data and code from: Public participation in tropical conservation and environmental management research: Towards a locally grounded and reflexive practice

This dataset supports an investigation into the publication records of public participation in tropical conservation and environmental management research. It includes information from 453 relevant papers published up through 2020 and identified via Web of Science core collection, processed by the co-authors, and analyzed using R. It also includes preliminary information on relevant papers identified by the same methods from the years 2021-2024. This additional information is meant to facilitate similar research focused on these years, which were quite different from those prior due to the COVID-19 pandemic.
, Data included in this dataset are associated with the paper titled, \"Public participation in tropical conservation and environmental management research: Towards a locally grounded and reflexive practice\" and accepted in Biotropica. They include:

SupplementaryInfo_Data.csv : The dataset used for this study.

ScriptFigs.R : The R script used to create Figures 1-3.

SupplementaryInfo_2021-2024Data.csv : Incomplete dataset for search results from 2021-2024. Preliminary analysis on this dataset is included in Section F of the Supplementary Information document associated with Piland et al. This dataset can be the base for another bibliometric review as a comparison with this manuscript.

Script_2021-2024Data.qmd : The R script used to sample the incomplete dataset for search results from 2021-2024 for the preliminary analysis.

SupplementaryInfo_2021-2024Sample.csv : 25% sample of “SupplementaryInfo_2021-2024Data.csv.

The dataset covers:
●      Authorship variabl..., # Data and code from: Public participation in tropical conservation and environmental management research: Towards a locally grounded and reflexive practice

Dataset DOI: [10.5061/dryad.dfn2z35fv](https://doi.org/10.5061/dryad.dfn2z35fv)

## Description of the data and file structure

The data in this dataset are based on a literature search in English and in the Core Collection of the Institute for Scientific Information (ISI; Thomson Reuters) Web of Science database, and a subsequent collection of information from manual extraction of data from each paper into a table of variables.

### Files and variables

#### File: SupplementaryInfo_2021-2024Data.csv

**Description:** This is the data table for all the papers that were found in the literature search, time-bound for years 2021 to 2024. The papers were not completely processed, thus that many of the columns are blank, with the intention that if someone wants to focus on these four years, they have a base to start with.

##### Variabl...,