{"query_echo":{"q":"","filters":{"analysis_type":["data documentation"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'data documentation' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":2,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=data+documentation","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"prio-000954","url":"https://climateinsightsdirectory.org/document/prio-000954","title":"THE PETROLEUM DATASET CODEBOOK","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://cdn.cloud.prio.org/files/080f8241-764b-49ab-bc22-137597955051/PETRODATA v12 Codebook.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The PETRODATA codebook describes a global dataset of onshore and offshore hydrocarbon reserves covering 1946–2003. It explains the transition from point data to generalized polygons to make the data practical for GIS analysis and conflict research, and defines 20 variables including discovery and production years.","ai_generated":true,"unit":"prio-000954#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"PETRODATA is a global dataset of oil and gas fields designed for use in geographic information systems (GIS) to study the link between natural resource endowment and armed civil conflict.","ai_generated":true,"unit":"prio-000954#insight-1","date_modified":"2026-10-23"},{"text":"The dataset covers the period from 1946 to 2003 and includes 1,262 total records—884 for onshore and 378 for offshore occurrences—across 114 countries.","ai_generated":true,"unit":"prio-000954#insight-2","date_modified":"2026-10-23"},{"text":"To ensure the data was practical for conflict research and not overly detailed, point locations were generalized into polygons by applying a uniform buffer distance of 30,000 projected meters (30 km) and merging overlapping buffers.","ai_generated":true,"unit":"prio-000954#insight-3","date_modified":"2026-10-23"},{"text":"The dataset excludes solid hydrocarbons like coal, focusing exclusively on natural gas and crude oil.","ai_generated":true,"unit":"prio-000954#insight-4","date_modified":"2026-10-23"},{"text":"Data was aggregated from multiple sources, including the U.S. Geological Survey (USGS), the Earth Sciences and Resources Institute at the University of South Carolina, the World Energy Atlas by Petroleum Economist, and various internet sources.","ai_generated":true,"unit":"prio-000954#insight-5","date_modified":"2026-10-23"},{"text":"The dataset utilizes a specific coding structure for countries to ensure compatibility with the Uppsala/PRIO Armed Conflict Dataset, employing Correlates of War (COW) numbers.","ai_generated":true,"unit":"prio-000954#insight-6","date_modified":"2026-10-23"}],"climate_tags":["crude oil","natural gas"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["data documentation","methodological guide"]},{"id":"rmi-000736","url":"https://climateinsightsdirectory.org/document/rmi-000736","title":"Clean Economy Graphics Data Sources and Documentation Overview","publisher":{"name":"RMI","organization":"rmi"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://rmi.org/app/uploads/2023/10/clean_economy_graphics_documentation.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document outlines the technical framework for RMI's State Clean Energy Eco graphics, which project the scale of energy transformation required for the US to reach net zero emissions by 2050. It details the use of the Princeton Net Zero America (NZA) project as the primary data source, supplemented by the Energy Policy Simulator (EPS), NREL Cambium scenarios, and population projections. The methodology covers specific metrics across electricity, industry, transportation, buildings, and human impact, including a detailed approach for downscaling potential federal investments from the Inflation Reduction Act (IRA) to the state level. To account for uncertainty in 2050 projections, metrics are generally rounded to one significant figure.","ai_generated":true,"unit":"rmi-000736#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"RMI utilized several primary data sources to estimate 2050 metrics for a net zero US economy, with the Princeton Net Zero America (NZA) project serving as the main source using the \"E+RE+\" (higher electrification, higher renewable energy) scenario.","ai_generated":true,"unit":"rmi-000736#insight-1","date_modified":"2026-10-23"},{"text":"To estimate potential federal investment from the Inflation Reduction Act (IRA) by state, RMI used a combination of downscaling national values from the NZA \"E+RE+\" scenario for tax credits, downscaling Congressional Budget Office scores for non-tax credit provisions, and using official formula funding allocations where available.","ai_generated":true,"unit":"rmi-000736#insight-2","date_modified":"2026-10-23"},{"text":"The graphics include specific 2050 projections for infrastructure and technology deployment, such as the number of new wind turbines (assuming 3 megawatts per turbine), new solar panels (assuming 320 watts per panel), and the stock of electric light-duty vehicles.","ai_generated":true,"unit":"rmi-000736#insight-3","date_modified":"2026-10-23"},{"text":"Human impact metrics include projections for avoided asthma attacks and premature deaths due to reduced air pollution, with the latter monetized using an assumed Value of Statistical Life of $10 million (converted to 2023$).","ai_generated":true,"unit":"rmi-000736#insight-4","date_modified":"2026-10-23"},{"text":"Current greenhouse gas emissions for the electricity, industry, transportation, and buildings sectors were retrieved from state EPS models for the year 2021.","ai_generated":true,"unit":"rmi-000736#insight-5","date_modified":"2026-10-23"}],"climate_tags":["carbon neutrality","energy transition","electrical grid","electric power transmission","solar energy","wind power","hydrogen","Industrial decarbonization","electric vehicle","electric vehicle charging network","public transport","heat pump","house-building","air pollution","Inflation Reduction Act of 2022","climate finance"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["methodology","data documentation"]}]}