1.National/Regional Policies 1.1 Paris Agreement Ratification I believe Paris Agreement has fostered the ambition of the countries to revise and implement their climate goals. However, not all of them have ratified it. I think the countries which have not ratified the agreement might show a different direction/ or they might be less ambitious in putting climate change adaptation and mitigation into their political agenda/processes/actions.

Data Source: https://treaties.un.org/Pages/ViewDetails.aspx?src=TREATY&mtdsg_no=XXVII-7-d&chapter=27&clang=_en

1.2 Climate Change ambitions While the majority of countries have promised to take action against climate change through the Paris Agreement, not all of them are working towards reaching the 1.5C goal at the same level. Climate tracker is an organization tracking the “ambition level” and progress of the countries which I believe could be a fruitful source of data.

Overview: https://climateactiontracker.org/publications/paris-agreement-benchmarks/ Data Source: https://climateactiontracker.org/data-portal/

1.3 Carbon Pricing Some countries/regions implement carbon pricing mechanism which is proven to be an efficient mechanism for decreasing carbon emissions. Worldbank provides a dashboard with carbon pricing data and information about the countries. Overview: https://carbonpricingdashboard.worldbank.org/ Data source: https://carbonpricingdashboard.worldbank.org/map_data

2. Economy 2.1 Composition of the sectors I know it is already shared by others, but the World Bank also provides further information on countries’ economy structures. One thing that I believe could be useful further to the GDP is the sector composition of the country which could play a role in countries' emission reduction. While it is easier for services to reach net-zero, it is harder for manufacturing. (this is also valid for companies, it is much easier to reach net-zero emission for a service company, but it could be very difficult for a steel production/processing plant to be emission-free). Overview: https://data.worldbank.org/indicator/NV.IND.MANF.ZS Data source: http://wdi.worldbank.org/table/4.2

2.2 Innovation Index Combating climate change requires fundamental changes in the systems that we have been living. Thus, innovation (technological, business model, political, social…) is necessary at all levels. Therefore, I believe the Global Innovation Index (GII) can be used as a proxy to measure innovative activities. Overview: https://www.globalinnovationindex.org/home Data source: https://www.globalinnovationindex.org/analysis-indicator

3. Low carbon Technologies Development, production and adoption of clean energy technologies are vital for lower carbon transitions. While latest developments in solar technologies made it both the cheapest and clean energy source, there is still a long way to reach a “reliable” technology to be considered as a commercially feasible option for Carbon Capture and Storage. IEA provides information related to low carbon RDDs, but it has limited country data (Mostly OECD countries). Overview: https://www.iea.org/fuels-and-technologies Data Source: https://www.iea.org/reports/energy-technology-rdd-budgets-2020

4. Development & Just Transitions 4.1 Energy Access Today there are still millions of people who don’t have access to electricity and clean cooking. Although for some countries finding ways to decrease emissions, for some others to ensure their population’s “reliable affordable and clean energy access” (SDG 7, UNDP) is the challenge. The World Bank provides data on Electricity production, sources, and percentage of the population who has access to electricity by country as part of World Development Indicators. Overview: https://data.worldbank.org/indicator/EG.ELC.ACCS.ZS Data Source: http://wdi.worldbank.org/table/3.7

4.2. Bonus: Environmental Justice (no dataset uploaded- just qualitative data) Environmental Justice Atlas is a citizen-led mapping tool which shows conflicts related to environmental injustices. The data cannot be fully downloaded and subject to restrictive data use, and I am not sure even if it could be quantified. But, I believe it could be useful to think about the social aspects of transitions. https://ejatlas.org/

Compilation of greenhouse gas (GHG) emissions from the Montreal community as part of our annual public statement via the [Carbon Disclosure Project (CDP)] platform and data format (https://www.cdp.net/fr), as required by the C40 - Cities Climate Leadership Group, an influential and dynamic network of nearly 100 cities committed to climate change to which the City of Montreal became a member in 2016. These emissions are estimated in order to identify the state of progress of the community in relation to the goals of reducing GHG emissions, i.e. to reduce GHG emissions by 30% by 2020 and by 55% by 2030, compared to the reference year (1990). Depending on the evolution of GHG emissions, reduction actions will be adjusted when the Climate Plan is updated.

URL: https://geoscience.data.qld.gov.au/dataset/cr022784

PL 51, CDP MUTHERO 2, WELL COMPLETION REPORT

URL: https://geoscience.data.qld.gov.au/dataset/cr021162

PL 33, CDP WINNA 3, WELL COMPLETION REPORT

This project is a collaboration with Barry, CIRES, University of Colorado, Boulder (0632296). This project will develop a Cooperative Arctic Data and Information Service (CADIS) that will support the Arctic Observing Network (AON) and Study of Environmental Arctic Change (SEARCH) programs. CADIS will provide the discovery, access, and use of scientific data by providing near-real-time data delivery, a repository for data storage, a portal for the discovery, and tools to manipulate data. This system and data service will be built in a stepwise coherent manner and result in comprehensive long-term management for Arctic scientific data. CADIS will be a joint effort of the University Corporation for Atmospheric Research (UCAR), the National Snow and Ice Data Center (NSIDC), and the National Center for Atmospheric Research (NCAR). The project team will develop a new body of cyberinfrastructure by leveraging, integrating, and extending UCAR's Community Data Portal (CDP) framework and Unidata's THREDDS environment to form the CADIS system and portal. The CADIS portal will make it easier for scientists to locate, display, subset, publish, and analyze related data sets provided by a network of data providers. In the first year, a metadata plan will be completed; it will include AON projects and Long Term Observatory (LTO) projects. In the second year, the CADIS portal will be populated with metadata from the AON and LTO projects. In the third year, real-time delivery through CADIS of selected AON and IASOA (International Arctic System for Observing the Atmosphere) data will be accomplished, and tools for searching via a map interface, and a map server showing the location of selected AON or SEARCH components (where metadata are available) will be added. Also in the third year, system performance will be evaluated and documented, and a future direction charted. Guidance from the scientific and lay user communities will be key to implementing the CADIS facility. Information will be received via questionnaires, meetings, standing committees and individual queries to assess CADIS effectiveness and recommend improvements. This project is highly relevant to International Polar Year goals for developing comprehensive data management plans and creating legacy data sets. The intellectual merit lies in the stepwise development of a new cyberinfrastructure for management of Arctic scientific data. The broader impact of CADIS is that it creates a foundation for long-term access to data archives, discovery, delivery and analysis by the Arctic science community and other users.

URL: https://geoscience.data.qld.gov.au/dataset/cr022786

PL 50, CDP MAXWELL 4, WELL COMPLETION REPORT

URL: https://geoscience.data.qld.gov.au/dataset/cr023370

ATP 267, CDP ROSEA 1, WELL COMPLETION REPORT

URL: https://geoscience.data.qld.gov.au/dataset/cr023093

ATP 267, CDP ROSEA 1, WELL PROPOSAL REPORT

Step I – Find a Location on the below Index Map and the corresponding Planning District Number (Note: Planning District 204 should be ‘Benson Town’ and not ‘Jayanagar’ as listed below.) Step II – Then find the Land Use Maps for the required Planning District Number in the Files Section below

URL: https://geoscience.data.qld.gov.au/dataset/cr023362

ATP 267, CDP GIBBA 1, WELL COMPLETION REPORT

URL: https://geoscience.data.qld.gov.au/dataset/cr022471

PL 50, CDP MAXWELL 4, WELL PROPOSAL REPORT

Bengaluru Revised Comprehensive Development Plan (CDP) is a development plan from JnNurm from 2009. It was a revised plan for the original plan done in 2006.

Draft city development master plan for Pune City for 2041.

URL: https://geoscience.data.qld.gov.au/dataset/cr022117

ATP 267, CDP MUTHERO 1, WELL COMPLETION REPORT

URL: https://geoscience.data.qld.gov.au/dataset/cr031509

ATP 562, CDP SPALDING 1, WELL COMPLETION REPORT

URL: https://geoscience.data.qld.gov.au/dataset/cr023361

ATP 267, CDP TUALTA 1, WELL COMPLETION REPORT

URL: https://geoscience.data.qld.gov.au/dataset/cr022617

ATP 267, CDP PARRAGOONA 1, WELL COMPLETION REPORT

URL: https://geoscience.data.qld.gov.au/dataset/cr022044

ATP 267, CDP DILKERA 2, WELL COMPLETION REPORT

URL: https://geoscience.data.qld.gov.au/dataset/cr022027

ATP 267, PL 33, CDP WINNA 3, WELL PROPOSAL REPORT