Title of Dataset: Dataset, R codes, and Models in Jags to accompany paper Investigating illegal activities that affect biodiversity: the case of wildlife consumption in the Brazilian Amazon
Author(s): Willandia Chaves, Denis Valle, David Wilcove
Corresponding Author Email Address: wchaves@vt.edu
Categories: Environmental Science and Management, Conservation and Biodiversity
Group: Department of Fish and Wildlife Conservation
Item Type: Dataset
Keywords: wild meat, wildlife trade, wildlife consumption, illegal behavior, randomized response technique, unrelated question design, social desirability bias, risk perception
Description: Data on consumption of fish and wild meat by households in urban areas of the Brazilian Amazon. Socioeconomic data of households in urban areas of the Brazilian Amazon. R scripts and statistical models used in the analyses to assess rates of consumption and factors associated with consumption.
Funding: Princeton University and High Meadows Foundation
Resource Title: Dataset and R codes for paper Investigating illegal activities that affect biodiversity: the case of wildlife consumption in the Brazilian Amazon.
Resource DOI: 
Other References: https://doi.org/10.7294/JK6J-2Q18

Files/Folders in Dataset and Description of Files (For zip, tar, or other packaged files, include file/folder structure within the packaged file)
●	[Dataset] – Data on consumption of fish and wildlife by households in the Brazilian Amazon and associated socioeconomic data
○	[consumption_data_fish] – Data on consumption of fish and unrelated item (açai). Unrelated item was used in the analysis of data from the indirect method
○	[consumption_data_wild meat] – Data on consumption of wild meat (mammals, birds, and turtles) and unrelated items (bacaba and pamonha). Unrelated item was used in the analysis of data from the indirect method. In the dataset, the term “wild_meat” refers to mammals and birds and the term “turtle” refers to tortoises and freshwater turtles.
○	[socioeconomic_data] – Raw socioeconomic data
○	[socioeconomic_data_edited] – Socioeconomic data with standardized continuous variables (mean of zero and standard deviation of one
●	[models_jags] – Models used for analysis of data collected using direct and indirect methods
○	[logistic direct city high season] – Logistic regression model for data collected using the direct method to estimate the proportion of households that consumed the food items
○	[logistic iq city high season] – Logistic regression model for data collected using the indirect method to estimate the proportion of households that consumed the food items
○	[logistic reg dq si] – Logistic regression model for data collected using the direct method to assess the factors associated with consumption probability
○	[logistic now reg iq] – Logistic regression model for data collected using the indirect method to assess the factors associated with consumption probability
○	[reg hurdle NB dq city] – Negative binomial regression model for data collected using the direct method to estimate the quantity of wildlife or fish consumed among households that consumed these items.
○	[reg hurdle NB iq] – Negative binomial regression model for data collected using the indirect method to estimate the quantity of wildlife or fish consumed among households that consumed these items.
○	[reg hurdle NB dq si] – Negative binomial regression model for data collected using the direct method to assess the factors associated with quantity consumed
○	[reg hurdle NB iq] – Negative binomial regression model for data collected using the indirect method to assess the factors associated with quantity consumed
●	[R scripts] – R scripts used to run analyses
○	[run logistic direct city] – Scripts to run logistic regression model for data collected using the direct method to estimate the proportion of households that consumed the food items
○	[run logistic iq city] – Scripts to run logistic regression model for data collected using the indirect method to estimate the proportion of households that consumed the food items
○	[run model true data logistic reg dq] – Scripts to run logistic regression model for data collected using the direct method to assess the factors associated with consumption probability
○	[run model true data logistic now reg iq] – Scripts to run logistic regression model for data collected using the indirect method to assess the factors associated with consumption probability
○	[run hurdle NB direct city] – Scripts to run negative binomial regression model for data collected using the direct method to estimate the quantity of wildlife or fish consumed
○	[run hurdle NB iq city] – Scripts to run negative binomial regression model for data collected using the indirect method to estimate the quantity of wildlife or fish consumed
○	[reg hurdle NB dq] – Scripts to run negative binomial regression model for data collected using the direct method to assess the factors associated with quantity consumed
○	[reg hurdle NB iq] – Scripts to run negative binomial regression model for data collected using the indirect method to assess the factors associated quantity consumed