About Amazon Sustainability Data Initiative
The Amazon Sustainability Data Initiative (ASDI) seeks to accelerate sustainability research and innovation by minimizing the cost and time required to acquire and analyze large sustainability data sets. Unless specifically stated in the applicable data set documentation, ASDI data sets available through the Registry of Open Data on AWS are not provided or maintained by AWS. Data sets are provided and maintained by a variety of third parties under a variety of licenses. Please check data set licenses and related documentation to determine if a data set may be used for you application.
Amazon Sustainability Data Initiative
Amazon Sustainability Data Initiative Products (216)
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Free | Publicly available
Data released from projects funded by the Department of Energy's Geothermal Technologies Office (DOE GTO) that are too large or complex to be conveniently accessed by traditional means. The GDR data lake aims to improve and automate access of high-value geothermal data sets, making data actionable and discoverable by researchers and industry to accelerate analysis and advance innovation. This data lake is a sister-data lake to the Department of Energy’s Open Energy Data Initiative (OEDI) Data Lake.
Free | Publicly available
The SiPeCaM goal is to create a data source that allows to evaluate changes in the biodiversity state, considering key aspect of how does the ecosystem behaves.
Free | Publicly available
The project presents Sea Around Us Global Fisheries Catch Data aggregated at EEZ level. The data are computed from reconstructed catches from various official fisheries statistics, scientific, technical and policy reports about the fisheries, and includes estimation of discards, unreported and illegal catch data from all maritime countries and major territories of the world. This project was the result of a work between Sea Around Us and the CIC programme, a collaborative programme between the University of British Columbia (UBC) and AWS.
Free | Publicly available
The Global Ensemble Forecast System (GEFS), previously known as the GFS Global ENSemble (GENS), is a weather forecast model made up of 21 separate forecasts, or ensemble members. The National Centers for Environmental Prediction (NCEP) started the GEFS to address the nature of uncertainty in weather observations, which is used to initialize weather forecast models. The GEFS attempts to quantify the amount of uncertainty in a forecast by generating an ensemble of multiple forecasts, each minutely different, or perturbed, from the original observations. With global coverage, GEFS is produced four times a day with weather forecasts going out to 16 days.
Free | Publicly available
This data lake contains multiple datasets related to fundamental problems in wind energy research. This includes data for wind plant power production for various layouts/wind flow scenarios, data for two- and three-dimensional flow around different wind turbine airfoils/blades, wind turbine noise production, among others. The purpose of these datasets is to establish a standard benchmark against which new AI/ML methods can be tested, compared, and deployed. Details regarding the generation and formatting of the data for each dataset is included in the metadata as well as example notebooks and documentation that show how to access the data for ML modeling.
Free | Publicly available
Global and regional Canopy Height Maps (CHM). Created using machine learning models on high-resolution worldwide Maxar satellite imagery.
Free | Publicly available
Released to the public as part of the Department of Energy's Open Energy Data Initiative, these data represent vertical and horizontal distributed acoustic sensing (DAS) data collected as part of the Poroelastic Tomography (PoroTomo) project funded in part by the Office of Energy Efficiency and Renewable Energy (EERE), U.S. Department of Energy.
Free | Publicly available
Open City Model is an initiative to provide cityGML data for all the buildings in the United States. By using other open datasets in conjunction with our own code and algorithms it is our goal to provide 3D geometries for every US building.
Free | Publicly available
The 1940 Census population schedules were created by the Bureau of the Census in an attempt to enumerate every person living in the United States on April 1, 1940, although some persons were missed. The 1940 census population schedules were digitized by the National Archives and Records Administration (NARA) and released publicly on April 2, 2012. The 1940 Census enumeration district maps contain maps of counties, cities, and other minor civil divisions that show enumeration districts, census tracts, and related boundaries and numbers used for each census. The coverage is nation wide and includes territorial areas. The 1940 Census enumeration district descriptions contain written descriptions of census districts, subdivisions, and enumeration districts.
Free | Publicly available
An ongoing collection of radiation and air quality measurements taken by devices involved in the Safecast project.
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