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Satellite based estimates of gross primary productivity (GPP) — the rate at which plants absorb carbon dioxide from the atmosphere through photosynthesis to produce the energy they need to grow. Uncalibrated bimonthly GPP values can be customized with regional or biome specific light use efficiency factors.

Global map of the dominant driver of tree cover loss at 0.01° resolution (~1km) for the period 2001-2024. This is the latest update for this dataset.

Estimations of an Urban Inequality Index for the 74 metropolitan areas in Mexico based on access to urban ammenities such as healthcare, employment, schools, cultural activities, and open space.

Quantification in dollar value of the impacts of transitioning school bus operations from diesel to electric for each county in the contiguous United States.

These datasets underpin a WRI working paper on climate-related finance provided and mobilized by China from 2013 to 2022 for South-South cooperation. The datasets include calculations of China’s climate financing through multilateral public finance and all other non-multilateral public finance including bilateral public, export credits and mobilized private finance.

The higher the average energy consumption figure, the higher the energy consumption of the population in an area. (Semakin besar angka rata-rata konsumsi energi artinya semakin besar konsumsi energi penduduk di suatu wilayah.)

A database of planted forests and tree crop boundaries at a near-global scale, with associated carbon removal factors.

This dataset contains estimated average magnitudes and probabilities of extreme-magnitude exceedance for 14 climate hazards, calculated for the 996 cities larger than 500,000 in population, at recent historical level and 1.5°C, 2.0°C, and 3.0°C of global warming above pre-industrial baseline.

Global maps of grassland class created from satellite imagery with 30-meter spatial resolution and annual temporal resolution.

Offline version of data shown on the American Cities Climate Challenge Renewables Accelerator website. It includes all the transactions and engagements that meet the inclusion criteria for the Tracker in addition to some fields not featured in the online tool.

This dataset underpins WRI’s technical note on the breakdown of how much each developed country has contributed in public climate finance between 2013 and 2018 towards the $100 billion climate finance commitment. The dataset includes the individual country breakdowns of climate finance by channel and the calculations behind the assessments of how countries’ efforts compare using a variety of metrics.

Subnational livestock census data and satellite based estimates of the distribution of cattle, horses, goats, sheep and buffaloes are well suited for understanding food systems, land use, and environmental impacts.

Data tables supporting a WRI Working Paper released in 2018

Detailed information on the composition of school bus fleets in the United States. The dataset contains data from 46 states and the District of Columbia, with information including the school district that the school bus serves, its model year, fuel type, manufacturer, seating capacity and ownership model. WRI researchers compiled the dataset by submitting records requests to state governments between March and November 2022.

This dataset tracks electric school bus (ESB) adoption across the United States. It tracks the number of "committed" ESBs at the school district level, as well as details about individual buses, including the bus manufacturer and funding source(s). It also tracks when each ESB passed through the phases of the adoption process and the current phase of each bus. The dataset contains school district socio-economic characteristics, like poverty rates, racial composition and air pollution to enable wider analysis including whether the transition to ESBs is happening equitably.

Near-real-time (NRT) land use/land cover (LULC) dataset at 10 meter resolution that includes nine classes, pixel-level class probabilities, and labeling information.

Global map of the dominant driver of tree cover loss at 0.01° resolution (~1km) for the period 2001-2022. This specific version is the data associated with an original peer reviewed research paper released in 2025.

Information on the adaptation components of 86 countries’ NDCs submitted until June 30, 2021. Nine national action plans (NAPs) submitted by the 86 countries during this time frame are also included.

To address the absence of comparable city-level water data, this dataset compiles data from 15 global South cities located in sub-Saharan Africa, South Asia, and Latin America and among the regions that are the focus of the World Resources Report (WRR) "Towards a More Equal City". The 15 cities are Kampala, Uganda; Lagos, Nigeria; Maputo, Mozambique; Mzuzu, Malawi; Nairobi, Kenya; Bengaluru, India; Colombo, Sri Lanka; Dhaka, Bangladesh; Karachi, Pakistan; Mumbai, India; Caracas, Venezuela; Cochabamba, Bolivia; Rio de Janeiro, Brazil; São Paulo, Brazil; and Santiago de Cali, Colombia.

Reference samples and training data for grassland classification.

Satellite based estimates of short vegetation height across all ecosystems, well suited for monitoring structural change in grasslands, shrublands, and other open landscapes.

Natural Lands as defined for the Science Based Targets Network (SBTN) target on "no conversion of natural ecosystems."

Flood inundation depth maps that support the Aqueduct Floods online tool. This dataset provides estimations of inundation depth in meters for riverine and coastal floods under both current baseline conditions and future projections in 2030, 2050, and 2080 at several levels of flood intensity return periods (recurrence intervals).

Satellite based estimates of gross primary productivity (GPP) — the rate at which plants absorb carbon dioxide from the atmosphere through photosynthesis to produce the energy they need to grow. Uncalibrated annual GPP values can be customized with regional or biome specific light use efficiency factors.

This layer displays tree extent at the ten-meter scale and tree cover at the half hectare scale to enable accurate monitoring of trees in urban areas, agricultural lands, and in open canopy and dry forest ecosystems.

This gross removals layer is part of the forest carbon flux model described in Harris et al. (2021). This paper introduces a geospatial monitoring framework for estimating global forest carbon fluxes which can assist a variety of actors and organizations with tracking greenhouse gas fluxes from forests and in decreasing emissions or increasing removals by forests.

Complex hydrological data condensed into intuitive indicators of water stress and further aggregated at the country and provincial levels.

A comprehensive, global, open source database of power plants.

Global sub-meter canopy height maps from a machine learning model trained on aerial LiDAR and RGB imagery and applied to very high resolution satellite imagery.

Global map of the dominant driver of tree cover loss at 0.01° resolution (~1km) for the period 2001-2025. This is the latest update for this dataset.

Global map of the dominant driver of tree cover loss at 0.01° resolution (~1km) for the period 2001-2023.

This net flux layer is part of the forest carbon flux model described in Harris et al. (2021). This paper introduces a geospatial monitoring framework for estimating global forest carbon fluxes which can assist a variety of actors and organizations with tracking greenhouse gas fluxes from forests and in decreasing emissions or increasing removals by forests.

This gross emission layer is part of the forest carbon flux model described in Harris et al. (2021). This paper introduces a geospatial monitoring framework for estimating global forest carbon fluxes which can assist a variety of actors and organizations with tracking greenhouse gas fluxes from forests and in decreasing emissions or increasing removals by forests.

A comprehensive database on Chinese equity and debt investments in power generation sector in Belt and Road Initiative Countries.

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