Take urgent action to combat climate change and its impacts : Climate change is a critical development challenge for the region. The key threats are sea level rise, saltwater intrusion of freshwater lenses and ocean acidification and their impact on people, water and food security, livelihoods, and the Pacific region’s biodiversity and culture. Climate induced mobility and migration across the region may be a required adaptation strategy; Goal 13 indicators still require development for effective monitoring to take place.

Find more Pacific data on PDH.stat.

The Long Beach Climate Action Plan (LB CAP) was adopted by the City Council on August 16, 2022. The implementation of the LB CAP is an ongoing, collaborative process between the City, its partners, and the community to make Long Beach a safer, healthier, and more sustainable place to live, work, and play. The City aims to accomplish this by implementing LB CAP action items that work to reduce greenhouse gas emissions, mitigate the effects of climate change, enhance economic vitality, and improve the quality of life in Long Beach.Powering the Climate PortalWith help from ICLEIUses the GHG Protocol for Cities or GPC2021 GHG Inventory Report2023 GHG Inventory Report

As of 2019, respondents among organizations that are already involved in the scaling of artificial intelligence (AI) projects for climate action anticipate that greenhouse gas emissions will be cut by almost ** percent through AI-enabled projects in the next 3 to 5 years. The use of AI-enabled climate action projects are also expected to improve power and industrial efficiency, reduce waster and dead weight assets, and assist in cost savings, according to respondents.

Executive order showing Providence's commitment to eliminating city-wide carbon emissions and preparing the city for the long-term impacts of climate change.

169 US Cities that have signed the Global Covanent for Climate and Energy. Things coded include population size, per capita income, partisanship (2020 election), city energy manager, presence of a university, ACEEE score, energy plan ambition.

As per the survey conducted in 2024, the public perceives many actions to have a greater impact on reducing the emissions of greenhouse gases. Nearly ** percent of the respondents selected switching to purchasing renewable electricity as the leading climate conservation action.

Python scripts, generated figures, and CDP open dataset on cities' mitigation actions in 2019 ( accessed on 6th Oct-2020) for a paper that runs multiple pre-processing, feature engineering steps to undertake two clustering approaches based on cities' nature of actions and finance.

Sustainability Social Media Posts Dataset

Description

This synthetic dataset contains 1,000+ social media posts related to sustainability and climate action across multiple platforms. The data captures engagement metrics, user information, content themes, and calls to action from climate and environmental advocacy posts spanning from August 2024 to August 2025.

Dataset Columns

Key Statistics

• Total Posts: 13,144 entries
• Date Range: August 2024 - August 2025
• Platforms: 7 different social media platforms
• Geographic Coverage: Global locations including major cities across continents
• Topic Categories: 50+ distinct climate and sustainability topics
• Sentiment Distribution: Mix of positive, negative, and neutral posts

The Sustainable Development Goals set by the United Nations aim to solve social, economic and environmental development problems in an integrated manner during the period from 2015 to 2030. The 13th SDG is to “Take urgent action to combat climate change and its impacts”, concerning sub-goal 13.1 “Strengthen resilience and adaptive capacity to climate related hazards and disasters in all countries”. SDG13.1.1 has been defined to be a specific, effective indicator that can be used to quantitatively monitor and evaluate governments' response to climate change. It is defined as the “number of deaths, missing persons and directly affected persons attributed to disasters per 100,000 population”. The EM-DAT contains important core data on the occurrence and impact of more than 220,000 large-scale disasters worldwide from 1900 to the present. As a global disaster database, the EM-DAT provides a large amount of natural and technological disaster data for international projects and scientific research. By making use of the EM-DAT big data and SGD13.1.1 indicators, it is possible to quantify disaster information at a large geographical scale and to conduct valuable disaster assessments of different countries and regions, as well as to improve the monitoring and assessment of disaster risk reduction capabilities, and strengthen the ability of countries to adapt to, resist, and reduce extreme disasters caused by climate change. In our related paper "Disaster Assessment for the “Belt and Road” Region based on SDG landmarks", disaster assessment for the ‘Belt and Road’ region was carried out in relation to the SGD13.1.1 indicator, based on the EM-DAT (The Emergency Events Database) database. A new method for diagnosing trends in SGD13.1.1 was proposed, and an overview of disaster records is used to quantify disasters for a total of 73 countries using the data available in the EM-DAT. The following data are supplementary materials for this article,including:the calculation variables of the SDG13.1.1 indicator;disaster types of each country in the whole Belt and Road region; calulated SDG13.1.1 value and trend values of each country in the Belt and Road countries.

In an effort to address the threat of climate change, the Commonwealth of Pennsylvania released an updated Climate Action Plan in April 2019, the first version of the Plan to include greenhouse gas (GHG) emissions reduction goals. The Plan includes over 100 actions that leaders can take to reduce emissions and combat climate change, fifteen of which are quantitatively modeled for environmental and economic impact. Empowering local leaders to take action was one of the driving factors for releasing this Plan. As part of this plan, the Pennsylvania DEP partnered with ICLEI to initiate a municipal outreach program to help municipalities conduct a greenhouse gas inventory and develop a climate action plan for themselves. The program envisions the municipality working with a student intern at a local college to conduct the greenhouse gas inventory in the fall semester and begin developing a climate action plan in the spring semester. The City of Allentown was one of twenty municipalities that participated in DEP’s program for the 2020- 2021 academic year. In the fall of 2020, a Muhlenberg College student intern worked with the City of Allentown Environmental Advisory Council to obtain the needed data and establish a GHG emissions inventory baseline with guidance from PA DEP and ICLEI. The full GHG Inventory report is available on the City’s website and is attached below as Attachment A. In addition to this fundamental first step, in the spring of 2021 the City of Allentown began developing a comprehensive inventory of climate actions that the City has already implemented, those that the City is in the process of implementing, those that the City has considered but not yet begun to implement, and those that the City has not yet considered but are being recommended by the City’s Environmental Advisory Council. This work was begun by the same Muhlenberg intern under DEP’s municipal outreach program. The climate action inventory will be made available on the City’s website when it is finalized. The comprehensive climate action inventory will be an important component of the City’s input to the regional climate action plan currently under development by the Lehigh Valley Planning Commission. The City intends to develop its own climate action plan in conjunction with the LVPC’s regional effort. In light of the greenhouse gas inventory and comprehensive climate action inventory, the City of Allentown decided in the spring of 2021 to respond CDP’s Climate Change Questionnaire for the first time. A copy of the response is available on the City’s website and attached below as Attachment B. The results of the GHG inventory and many of the actions identified to date in the climate action inventory are reflected in the City’s CDP Questionnaire response. The process of responding to the CDP questionnaire has enabled the City to think through many of the elements of a climate action plan, including climate hazards, adaptation measures, adaptation goals and mitigation actions.

This climate change impact data (future scenarios on temperature-induced GDP losses) and climate change mitigation cost data (REMIND model scenarios) is published under doi: 10.5281/zenodo.3541809 and used in this paper:

Ueckerdt F, Frieler K, Lange S, Wenz L, Luderer G, Levermann A (2018) The economically optimal warming limit of the planet. Earth System Dynamics. https://doi.org/10.5194/esd-10-741-2019

Below the individual file contents are explained. For further questions feel free to write to Falko Ueckerdt (ueckerdt@pik-potsdam.de).

Climate change impact data

File 1: Data_rel-GDPpercapita-changes_withCC_per-country_all-RCP_all-SSP_4GCM.csv

Content: Data of relative change in absolute GDP/CAP levels (compared to the baseline path of the respective SSP in the SSP database) for each country, RCP (and a zero-emissions scenario), SSP and 4 GCMs (spanning a broad range of climate sensitivity). Negative (positive) values indicate losses (gains) due to climate change. For figure 1a of the paper, this data was aggregated for all countries.

File 2: Data_rel-GDPpercapita-changes_withCC_per-country_all-SSP_4GCM_interpolated-for-REMIND-scenarios.csv

Content: Data of relative change in absolute GDP/CAP levels (compared to the baseline path of the respective SSP in the SSP database) for each country, SSP and 4 GCMs (spanning a broad range of climate sensitivity). The RCP (and a zero-emissions scenario) are interpolated to the temperature pathways of the ten REMIND model scenarios used for climate change mitigation costs. Hereby the set of scenarios for climate impacts and climate change mitigation are consistent and can be combined to total costs of climate change (for a broad range of mitigation action).

File 3: Data_rel-GDPpercapita-changes_withCC_per-country_SSP2_12GCM_interpolated-for-REMIND-scenarios.csv

Content: Same as file 2, but only for the SSP2 (chosen default scenario for the study) and for all 12 GCMs. Data of relative change in absolute GDP/CAP levels (compared to the baseline path of the respective SSP in the SSP database) for each country, SSP-2 and 12 GCMs (spanning a broad range of climate sensitivity). The RCP (and a zero-emissions scenario) are interpolated to the temperature pathways of the ten REMIND model scenarios used for climate change mitigation costs. Hereby the set of scenarios for climate impacts and climate change mitigation are consistent and can be combined to total costs of climate change (for a broad range of mitigation action).

In addition, reference GDP and population data (without climate change) for each country until 2100 was downloaded from the SSP database, release Version 1.0 (March 2013, https://tntcat.iiasa.ac.at/SspDb/, last accessed 15Nov 2019).

Climate change mitigation cost data

The scenario design and runs used in this paper have first been conducted in [1] and later also used in [2].

File 4: REMIND_scenario_results_economic_data.csv

File 5: REMIND_scenarios_climate_data.csv

Content: A broad range of climate change mitigation scenarios of the REMIND model. File 4 contains the economic data of e.g. GDP and macro-economic consumption for each of the countries and world regions, as well as GHG emissions from various economic sectors. File 5 contains the global climate-related data, e.g. forcing, concentration, temperature.

In the scenario description “FFrunxxx” (column 2), the code “xxx” specifies the scenario as follows. See [1] for a detailed discussion of the scenarios.

The first dimension specifies the climate policy regime (delayed action, baseline scenarios):

1xx: climate action from 2010
5xx: climate action from 2015
2xx climate action from 2020 (used in this study)
3xx climate action from 2030
4x1 weak policy baseline (before Paris agreement)

The second dimension specifies the technology portfolio and assumptions:

x1x Full technology portfolio (used in this study)
x2x noCCS: unavailability of CCS
x3x lowEI: lower energy intensity, with final energy demand per economic output decreasing faster than historically observed
x4x NucPO: phase out of investments into nuclear energy
x5x Limited SW: penetration of solar and wind power limited
x6x Limited Bio: reduced bioenergy potential p.a. (100 EJ compared to 300 EJ in all other cases)
x6x noBECCS: unavailability of CCS in combination with bioenergy

The third dimension specifies the climate change mitigation ambition level, i.e. the height of a global CO2 tax in 2020 (which increases with 5% p.a.).

xx1 0$/tCO2 (baseline)
xx2 10$/tCO2
xx3 30$/tCO2
xx4 50$/tCO2
xx5 100$/tCO2
xx6 200$/tCO2
xx7 500$/tCO2
xx8 40$/tCO2
xx9 20$/tCO2
xx0 5$/tCO2

For figure 1b of the paper, this data was aggregated for all countries and regions. Relative changes of GDP are calculated relative to the baseline (4x1 with zero carbon price).

[1] Luderer, G., Pietzcker, R. C., Bertram, C., Kriegler, E., Meinshausen, M. and Edenhofer, O.: Economic mitigation challenges: how further delay closes the door for achieving climate targets, Environmental Research Letters, 8(3), 034033, doi:10.1088/1748-9326/8/3/034033, 2013a.

[2] Rogelj, J., Luderer, G., Pietzcker, R. C., Kriegler, E., Schaeffer, M., Krey, V. and Riahi, K.: Energy system transformations for limiting end-of-century warming to below 1.5 °C, Nature Climate Change, 5(6), 519–527, doi:10.1038/nclimate2572, 2015.

This statistic represents the public opinion among U.S. voters on who should take "much more" or "more" action against global warming in the United States as of **********. During the survey, approximately ** percent of respondents wanted corporations and industries to do more to reduce global warming.

Financial overview and grant giving statistics of Climate Action Campaign

Climate change communication efforts grounded in the information deficit model have largely failed to close the gap between scientific and public understanding of the risks posed by climate change. In response, simulations have been proposed to enable people to learn for themselves about this complex and politically charged topic. Here we assess the impact of a widely-used simulation, World Climate, which combines a socially and emotionally engaging role-play with interactive exploration of climate change science through the C-ROADS climate simulation model. Participants take on the roles of delegates to the UN climate negotiations and are challenged to create an agreement that meets international climate goals. Their decisions are entered into C-ROADS, which provides immediate feedback about expected global climate impacts, enabling them to learn about climate change while experiencing the social dynamics of negotiations. We assess the impact of World Climate by analyzing pre- and post...

On average, Australians and Americans substantially overestimate the number of people who are skeptical about climate change. This example of a bias, known as pluralistic ignorance, reduces support for climate change policies and willingness to discuss climate change. A key factor in promoting proxies of climate action may thus lie in understanding whether pluralistic ignorance generalizes to other countries and whether interventions can reduce its potential negative consequences. In a 10-minute online experiment, we will assess actual and perceived climate change beliefs to test whether climate change-related pluralistic ignorance generalizes across 11 countries (Brazil, Canada, China, Germany, India, Indonesia, Italy, Japan, Mexico, Poland, and Thailand, N = 330 per country). We will then inform individuals about the actual distribution of climate change beliefs in their country, based on a representative survey in 2020 (YouGov Cambridge, 2020). Subsequently, we will investigate whether this disclosure intervention can increase certain outcomes associated with climate action in the believing majority in the experimental compared to the control condition. These outcomes include (a) expectations about others’ willingness to make lifestyle changes to mitigate climate change and others’ support for government action on climate change, (b) one’s own willingness to make lifestyle changes and one’s own support for government actions, (c) efficacy beliefs that citizens of one’s country can jointly prevent the negative consequences of climate change, and (d) willingness to express one’s opinion on climate change.

Financial overview and grant giving statistics of Maine Climate Action Now

This publication provides statistics based on information that the Canada Revenue Agency (CRA) collected and processed for all claimants of the Climate Action Incentive (CAI) for the 2020 tax year.

The Climate Action Incentive (CAI) statistics are based on information that the Canada Revenue Agency (CRA) collected and processed for all eligible individual recipients for the 2019 tax year of the following four provinces: Saskatchewan, Manitoba, Ontario and Alberta.