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API Access
Access dataset files directly from scripts, code, or AI agents.
Each file has a stable URL (r-link) that you can use directly in scripts, apps, or AI agents. These URLs are permanent and safe to hardcode.
Start with these files — they give you everything you need to understand and access the dataset.
- 1. Fetch datapackage.json to inspect schema and resources
- 2. Download data resources listed in datapackage.json
- 3. Read README.md for full context
Data Views
Climate Solutions by Sector and Classification
Data Files
Explore with AIsolutions
| Field | Type | Description |
|---|---|---|
| action | string | Verb describing the solution type (e.g. Deploy, Improve, Protect) |
| solution | string | Name of the climate solution |
| solution_classification | string | Project Drawdown ranking: Highly Recommended, Worthwhile, Keep Watching, or Not Recommended |
| mode | string | Implementation approach: Cut Emissions, Remove Carbon, or both |
| sector | string | Industry or domain (Electricity, Transportation, Buildings & Industry, FALO & Nature-Based Carbon Removal, etc.) |
| cluster | string | Strategic grouping of related solutions |
| adoption_unit | string | Unit of measurement for deployment of this solution |
| effectiveness_tco2eq_per_unit | string | CO₂-equivalent reduction per unit of adoption over 100 years (t CO₂-eq) |
| adoption_current | string | Current global deployment level |
| adoption_achievable_range | string | Range of achievable future deployment by 2050 |
| ghg_impact_gt_co2eq_yr | string | Estimated total GHG impact in gigatons of CO₂-equivalent per year over 100 years (range) |
| cost_usd_per_t_co2eq | string | Net cost in USD per tonne of CO₂-equivalent reduced. Negative values indicate net savings. |
| climate_pollutants_mitigated | string | Greenhouse gases targeted (CO₂, CH₄, N₂O, F-gases, BC) |
| speed_of_action | string | Implementation timeline: Emergency Brake (immediate), Gradual, or Delayed |
| climate_adaptation_benefits | string | Climate resilience co-benefits |
| environment_benefits | string | Ecological co-benefits |
| human_wellbeing_benefits | string | Social and health co-benefits |
Download
Download CSVAbout
- Last updated
- 16 March 2026
- Total rows
- ...
- Format
- CSV
- File size
- 30.4 kB
About this dataset
Project Drawdown Climate Solutions
Ranked table of ~150 climate solutions analysed by Project Drawdown, a leading research organisation that identifies and models the most effective ways to reduce greenhouse gas emissions.
Data
The dataset contains 156 solutions across sectors including Electricity, Transportation, Buildings & Industry, and Food, Agriculture, Land & Ocean (FALO). Each solution is classified and, where data is available, includes:
- GHG Impact — estimated reduction in Gt CO₂-equivalent per year over a 100-year horizon
- Cost — net cost in USD per tonne of CO₂-equivalent (negative = net savings)
- Mode — whether the solution cuts emissions, removes carbon, or both
- Speed of Action — Emergency Brake, Gradual, or Delayed
Classifications
| Classification | Count |
|---|---|
| Highly Recommended | 101 |
| Keep Watching | 28 |
| Worthwhile | 15 |
| Not Recommended | 12 |
Top Solutions by GHG Impact (Gt CO₂-eq/yr)
| Solution | Sector | GHG Impact |
|---|---|---|
| Alternative Refrigerants | Buildings & Industry | 2.50–2.70 |
| Offshore Wind Turbines | Electricity | 1.90–3.04 |
| Onshore Wind Turbines | Electricity | 5.40–7.50 |
| Food Loss & Waste Reduction | FALO | 1.23–2.47 |
| Diets | FALO | 1.40–2.80 |
Source
Data sourced from the Project Drawdown Explorer CSV export. Project Drawdown's research is published under CC BY 4.0.