6 research outputs found
Fax de José Ignacio Latorre a Ríos, Periodista Coordinador d'Asoce Publicidad, informant sobre el Congrés de Físics i el Centre de Física de Benasc
No full textRelacionat amb 07/159
Results for all GLM models testing for price differences in species Item
No full text GLM results for all species featuring in over three listings on both the classifieds website and online pet stores. For significance, NS indicates ‘not significant’ (i.e., the p-value is greater then 0.05), > indicates the estimate is greater than 0, and < indicates the estimate is less than 0.</p
Illegal online trade of invasive plants in Australia
No full text The project contains data and code used in our project investigating the illegal online trade of invasive plants in Australia. The dataset titled 'plant_trade_dataset.csv' contains cleaned and consolidated detection records from online advertisements for plants. The dataset titled 'weed_trade_dataset.csv' is a subset of the 'plant_trade_dataset.csv' dataset containing records of plants advertised which are prohibited to trade in at least one Australian jurisdiction. The advertisements were collected from an Australian online classifieds website which we have purposefully kept confidential in accordance with the ethics approval of this project. As such all information that could identify a user of the website has also been removed. However, this dataset still provides all necessary information needed to replicate the analysis of this study. We have provided R scripts which can be used to replicate the results of the study. ‘string_matching.R’ provides an example of how string matching was used to detect desired advertisements. This code uses ‘faux_web_scraped_data.csv’, ‘faux_plant_terms.csv’ and ‘incoreect_term_matches.csv’ to demonstrate how it functions. ‘quantity_price_permutation_code.R’ is the code used for analysing the effect of trade prohibition on quantity and price, along with the formatted datasets ‘qty_law_comp.csv’ for quantity and ‘price_law_comp’ for price. The remaining analysis (i.e., species accumulation, trade quantity, and use of traded taxa) was performed with code from the ‘analysis_code.R’ script.</p
A Snapshot of Online Wildlife Trade: Australian e-commerce trade of native and alien pets
No full textDataset (titled 'Surface_web_all_abundance_summary_REVISION') summarising the total number of advertisements and animals for each species detected in online trade on Australian surface web e-commerce from 03/12/2019 to 20/03/2020. Additional dataset (titled 'Surface_web_all_location_summary') summarising the total number of advertisements and animals for each region (as designated by e-commerce platforms) from 03/12/2019 to 20/03/2020. Note that not all online listings provided location information. Code sample (titled 'Sample_code_tradeID') for the literal and fuzzy string matching of listings ('online_trade_sample') against a taxonomic reference library ('taxa_name_key_sample').</p
The dark web trades wildlife, but mostly as drugs
No full textSupporting data from publication "The dark web trades wildlife, but mostly as drugs"</p
