Oxpeckers is a data-driven journalism (#ddj) organisation, which means that we source, aggregate and analyse data to help track and expose eco-offences across international borders. Our investigative stories use data-driven reporting, animated maps, and other types of data visualisation to augment traditional storytelling methods.
In our efforts to promote transparency and accountability, Oxpeckers shares these datasets with our users and readers.
Some of our investigations have produced large quantities of data that required combining, checking and cleaning, and represent significant amounts of work. These curated datasets, produced as part of various Investigations, are available for users and readers to download, explore and use as they see fit.
We have collated thousands of data entries relating to environmental crimes across the world. These datasets are constantly being updated, please email us on firstname.lastname@example.org if you want us to share them with you.
The datasets below are original and unique. They have been built by our team for use in our exposés, and are shared here in the public interest:
• Illegal timber trade from Myanmar to Europe – this data set was compiled for a series of cross-border data-driven investigations into how the illegal teak trade from Myanmar to Europe is fuelling deforestation and propping up Myanmar’s military regime. Investigations published in our Rotten Routes project are shared by project sponsor IJ4EU here.
• Court judgements in the Philippines – data set of wildlife crime convictions from 2013 to 2020. This data was used in our investigation Philippine wildlife criminals get away with a slap on the wrist
• Court judgements in Hong Kong – data set and analysis of court proceedings in wildlife trafficking cases in 2019 and 2020. This data was used in our investigation Business as usual for Hong Kong’s wildlife masterminds
• Court judgements in Malaysia – data set of court rulings in wildlife trafficking cases between 2019 and 2021. These rulings were analysed for our investigation Malaysia’s judges throw the book at wildlife criminals
• Illegal tiger trade in Europe – data set collated by #WildEye on seizures, arrests and court cases between 2011 and 2020. This was one of the data sets used in our 2021 investigations Until the last tiger roars, and Tigers à la carte. The data was used in investigations published in Italian in Lifegate here, and in French in Usbek & Rica here.
• Court judgements on tiger trafficking in Nepal – consolidated data set of decisions from 2010 – 2018. This was one of the data sets analysed for use in the #WildEye Asia investigation Nepal’s courts in the dock over tiger crimes
• Wildlife crime in India – consolidated data set on poaching and law enforcement activities involving multiple species in India’s protected areas. This was one of the data sets analysed for use in the #WildEye Asia investigation Insurgents linked to India’s rhino poaching syndicates
• China Judgements Online – sentences in pangolin offences from December 2019 to April 2020. This data was analysed for the #WildEye Asia investigation Chinese courts treat pangolin offenders lightly
• Online wildlife crime in our Cryptotrafficking dossier:
• Seizures, arrests, charges & sentences involving illegal ivory trade across greater Europe:
• Price list of reptiles sold online by a trader from Africa, in How we (almost) became reptile smugglers:
• European eel seizures, arrests, court cases and convictions, in ‘Greatest wildlife crime on the planet’ threatens multiple ecosystems:
We have sourced, cleaned and collated thousands of data entries relating to water use licences across South Africa. The Water Licences map layer on #MineAlert shows where these have been granted in identified strategic water source areas. Our datasets are constantly being updated, please email us on email@example.com if you want us to share the latest version with you.
Water permit violations
This dataset exposes mines in South Africa that have not complied with water use licence conditions. The data, released by the Department of Water & Sanitation in 2019, was used in the #MineAlert investigation Sweeping water permit violations at mines across SA.
• Chrome mines
Data captured by AmaranthCX shows chrome mining activities in the Bushveld Complex in the Limpopo and North West provinces. This data set was used in the investigation Has the DMRE lost control of South Africa’s chrome resources?
• New coal projects
Data set collated by the Global Energy Monitor identified planned new mines indicating the global coal mining industry might not be winding down any time soon. This data set was analysed by #MineAlert for Deep Trouble: research shows coal is still king
Data captured by AmaranthCX shows there are currently 112 new coal projects in exploration, feasibility study and/or construction phase. Of these new projects, 82 are in Mpumalanga province. This data set was used in the investigation Is coal really on its way out in South Africa?
• Following SA’s mining millions
A data-driven #MineAlert investigation shows that 10 UK-based companies paid out at least US$1.076-billion to South African government and community entities in 2018. #MineAlert investigated where the money went, in Following SA’s mining millions
• Mines, quarries, agents, and mineral processing plants officially operating in South Africa
This dataset is the National Department of Mineral Resources’ official 2021 list of operating mines, quarries, agents, and mineral processing plants in South Africa.
• Mine closure certificates and financial provisions for rehabilitation
This dataset details closure certificates and financial provisions for mine rehabilitation across South Africa. This data, released by provincial and national Department of Minerals offices as a result of Access to Information requests by Oxpeckers journalists, was featured in the #MineAlert investigation Coal mines leave a legacy of ruin.