Creative Commons Attribution

gfw-forest-carbon-net-flux

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.

Net Forest Carbon Flux

local-government-renewables-action-tracker

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.

Local Government Renewables Action Tracker

towards-a-more-equal-city-water-sanitation

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.

Supplementary Materials for "World Resources Report: Towards a More Equal City"

ndc-adaptation-ambition

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.

Supplementary Materials for "State of the Nationally Determined Contributions: Enhancing Adaptation Ambition"

usa-school-bus-fleets

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.

Dataset of U.S. School Bus Fleets

gfw-forest-carbon-gross-removals

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.

Forest Carbon Removals

gfw-forest-carbon-gross-emissions

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.

Forest Carbon Emissions

dynamic-world

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.

Dynamic World

city-scale-climate-hazard-indicators-warming-scenarios

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.

City-scale climate hazards at 1.5°C, 2.0°C, and 3.0°C of global warming

electric-school-bus-adoption

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.