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This registry exists to help people discover and share datasets that are available via AWS resources. Learn more about sharing data on AWS.

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Unless specifically stated in the applicable dataset documentation, datasets available through the Registry of Open Data on AWS are not provided and maintained by AWS. Datasets are provided and maintained by a variety of third parties under a variety of licenses. Please check dataset licenses and related documentation to determine if a dataset may be used for your application.

Sentinel-2

earth observationsatellite imagerygisnatural resourcesustainabilitydisaster response

The Sentinel-2 mission is a land monitoring constellation of two satellites that provide high resolution optical imagery and provide continuity for the current SPOT and Landsat missions. The mission provides a global coverage of the Earth's land surface every 5 days, making the data of great use in on-going studies. L1C data are available from June 2015 globally. L2A data are available from April 2017 over wider Europe region and globally since December 2018.

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CBERS on AWS

earth observationgisimagingsatellite imagerysustainabilitydisaster response

This project creates a S3 repository with imagery acquired by the China-Brazil Earth Resources Satellite (CBERS). The image files are recorded and processed by Instituto Nacional de Pesquisa Espaciais (INPE) and are converted to Cloud Optimized Geotiff format in order to optimize its use for cloud based applications. The repository contains all CBERS-4 MUX, AWFI, PAN5M and PAN10M scenes acquired since the start of the satellite mission and is daily updated with new scenes.

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OpenStreetMap on AWS

mappingosmsustainabilitydisaster response

OSM is a free, editable map of the world, created and maintained by volunteers. Regular OSM data archives are made available in Amazon S3.

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Sentinel-1

earth observationsatellite imagerygissustainabilitydisaster response

Sentinel-1 is a pair of European radar imaging (SAR) satellites launched in 2014 and 2016. Its 6 days revisit cycle and ability to observe through clouds makes it perfect for sea and land monitoring, emergency response due to environmental disasters, and economic applications. GRD data is available globally since January 2017.

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MODIS on AWS

gissatellite imagerynatural resourcesustainabilitydisaster response

Select products from the Moderate Resolution Imaging Spectroradiometer (MODIS) managed by the U.S. Geological Survey and NASA.

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SILO climate data on AWS

climateearth observationenvironmentalmeteorologicalmodelsustainabilitywaterweather

SILO is a database of Australian climate data from 1889 to the present. It provides continuous, daily time-step data products in ready-to-use formats for research and operational applications. Gridded SILO data in annual NetCDF format are on AWS. Point data are available from the SILO website.

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Africa Soil Information Service (AfSIS) Soil Chemistry

agricultureenvironmentalfood securitymachine learninglife sciencessustainability

This dataset contains soil infrared spectral data and paired soil property reference measurements for georeferenced soil samples that were collected through the Africa Soil Information Service (AfSIS) project, which lasted from 2009 through 2018. In this release, we include data collected during Phase I (2009-2013.) Georeferenced samples were collected from 19 countries in Sub-Saharan African using a statistically sound sampling scheme, and their soil properties were analyzed using both conventional soil testing methods and spectral methods (infrared diffuse reflectance spectroscopy). The two types of data can be paired to form a training dataset for machine learning, such that certain soil properties can be well-predicted through less expensive spectral techniques.

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ECMWF ERA5 Reanalysis

climateearth observationmeteorologicalsustainabilityweather

ERA5 is the fifth generation of ECMWF atmospheric reanalyses of the global climate, and the first reanalysis produced as an operational service. It utilizes the best available observation data from satellites and in-situ stations, which are assimilated and processed using ECMWF's Integrated Forecast System (IFS) Cycle 41r2. The dataset provides all essential atmospheric meteorological parameters like, but not limited to, air temperature, pressure and wind at different altitudes, along with surface parameters like rainfall, soil moisture content and sea parameters like sea-surface temperature and wave height. ERA5 provides data at a considerably higher spatial and temporal resolution than its legacy counterpart ERA-Interim. ERA5 consists of high resolution version with 31 km horizontal resolution, and a reduced resolution ensemble version with 10 members. It is currently available since 2008, but will be continuously extended backwards, first until 1979 and then to 1950. Learn more about ERA5 in Jon Olauson's paper ERA5: The new champion of wind power modelling?.

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NAIP on AWS

earth observationaerial imagerygisnatural resourceregulatorysustainability

The National Agriculture Imagery Program (NAIP) acquires aerial imagery during the agricultural growing seasons in the continental U.S. This "leaf-on" imagery andtypically ranges from 60 centimeters to 100 centimeters in resolutionand is available from the naip-analytic Amazon S3 bucket as 4-band (RGB + NIR) imagery in MRF format, on naip-source Amazon S3 bucket as 4-band (RGB + NIR) in uncompressed Raw GeoTiff format and naip-visualization as 3-band (RGB) Cloud Optimized GeotTiff format. NAIP data is delivered at the state level; every year, a number of states receive updates, with an overall update cycle of two or three years. More details on NAIP

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NASA NEX

earth observationnatural resourceclimatesustainabilitysatellite imagery

A collection of Earth science datasets maintained by NASA, including climate change projections and satellite images of the Earth's surface.

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OpenAQ

air qualitycitiesenvironmentalgissustainability

Global, aggregated physical air quality data from public data sources provided by government, research-grade and other sources. These awesome groups do the hard work of measuring these data and publicly sharing them, and our community makes them more universally-accessible to both humans and machines.

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Cornell EAS Data Lake

agricultureclimateearth observationelevationenvironmentalgismappingmeteorologicalsustainabilityweather

Earth & Atmospheric Sciences at Cornell University has created a public data lake of climate data. The data is stored in columnar storage formats (ORC) to make it straightforward to query using standard tools like Amazon Athena or Apache Spark. The data itself is originally intended to be used for building decision support tools for farmers and digital agriculture. The first dataset is the historical NDFD / NDGD data distributed by NCEP / NOAA / NWS. The NDFD (National Digital Forecast Database) and NDGD (National Digital Guidance Database) contain gridded forecasts and observations at 2.5km resolution for the Contiguous United States (CONUS). There are also 5km grids for several smaller US regions and non-continguous territories, such as Hawaii, Guam, Puerto Rico and Alaska. NOAA distributes archives of the NDFD/NDGD via its NOAA Operational Model Archive and Distribution System (NOMADS) in Grib2 format. The data has been converted to ORC to optimize storage space and to, more importantly, simplify data access via standard data analytics tools.

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GOES on AWS

gisweatherearth observationmeteorologicalsustainabilitydisaster responsesatellite imagery

GOES satellites (GOES-16 & GOES-17) provide continuous weather imagery and monitoring of meteorological and space environment data across North America. GOES satellites provide the kind of continuous monitoring necessary for intensive data analysis. They hover continuously over one position on the surface. The satellites orbit high enough to allow for a full-disc view of the Earth. Because they stay above a fixed spot on the surface, they provide a constant vigil for the atmospheric "triggers" for severe weather conditions such as tornadoes, flash floods, hailstorms, and hurricanes. When these conditions develop, the GOES satellites are able to monitor storm development and track their movements.

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U.S. Census ACS PUMS

statisticscensussurveysustainability

U.S. Census Bureau American Community Survey (ACS) Public Use Microdata Sample (PUMS) available in a linked data format using the Resource Description Framework (RDF) data model.

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Unidata NOAA Global Forecast System (GFS) Model

climateweatherenvironmentalsustainabilitydisaster response

The Global Forecast System (GFS) is a weather forecast model produced by the National Centers for Environmental Prediction (NCEP). Dozens of atmospheric and land-soil variables are available through this dataset, from temperatures, winds, and precipitation to soil moisture and atmospheric ozone concentration. The entire globe is covered by the GFS at a base horizontal resolution of 18 miles (28 kilometers) between grid points, which is used by the operational forecasters who predict weather out to 16 days in the future. Horizontal resolution drops to 44 miles (70 kilometers) between grid point for forecasts between one week and two weeks.

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CCAFS-Climate Data

agriculturefood securityclimatesustainability

High resolution climate data to help assess the impacts of climate change primarily on agriculture. These open access datasets of climate projections will help researchers make climate change impact assessments.

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EPA Risk-Screening Environmental Indicators

environmentalsustainability

Detailed air model results from EPA’s Risk-Screening Environmental Indicators (RSEI) model.

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Global Surface Summary of Day

environmentalclimateweathernatural resourceregulatorysustainability

GSOD is a collection of daily weather measurements (temperature, wind speed, humidity, pressure, and more) from 9000+ weather stations around the world.

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HIRLAM Weather Model

earth observationclimateweathermeteorologicalsustainability

HIRLAM (High Resolution Limited Area Model) is an operational synoptic and mesoscale weather prediction model managed by the Finnish Meteorological Institute.

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NOAA Global Ensemble Forecast System (GEFS)

climatemeteorologicalsustainabilityweather

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.

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NOAA Global Forecast System (GFS)

climatedisaster responseenvironmentalmeteorologicalsustainabilityweather

The Global Forecast System (GFS) is a weather forecast model produced by the National Centers for Environmental Prediction (NCEP). Dozens of atmospheric and land-soil variables are available through this dataset, from temperatures, winds, and precipitation to soil moisture and atmospheric ozone concentration. The entire globe is covered by the GFS at a base horizontal resolution of 18 miles (28 kilometers) between grid points, which is used by the operational forecasters who predict weather out to 16 days in the future. Horizontal resolution drops to 44 miles (70 kilometers) between grid point for forecasts between one week and two weeks.

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NOAA Global Historical Climatology Network Daily (GHCN-D)

climatemeteorologicalsustainabilityweather

Global Historical Climatology Network - Daily is a dataset from NOAA that contains daily observations over global land areas. It contains station-based measurements from land-based stations worldwide, about two thirds of which are for precipitation measurement only. Other meteorological elements include, but are not limited to, daily maximum and minimum temperature, temperature at the time of observation, snowfall and snow depth. It is a composite of climate records from numerous sources that were merged together and subjected to a common suite of quality assurance reviews. Some data are more than 175 years old. The data is in CSV format. Each file corresponds to a year from 1763 to present and is named as such.

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NOAA High-Resolution Rapid Refresh (HRRR) Model

climateweatherenvironmentalsustainabilitydisaster response

The HRRR is a NOAA real-time 3-km resolution, hourly updated, cloud-resolving, convection-allowing atmospheric model, initialized by 3km grids with 3km radar assimilation. Radar data is assimilated in the HRRR every 15 min over a 1-h period adding further detail to that provided by the hourly data assimilation from the 13km radar-enhanced Rapid Refresh.

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NOAA National Water Model Reanalysis

weatherclimateenvironmentaldisaster responseagriculturetransportationsustainability

The NOAA National Water Model Reanalysis dataset contains output from a 25-year retrospective simulation (January 1993 through December 2017) of version 1.2 of the National Water Model. This simulation used observed rainfall as input and ingested other required meteorological input fields from a weather Reanalysis dataset. The output frequency and fields available in this historical NWM dataset differ from those contained in the real-time forecast model. One application of this dataset is to provide historical context to current real-time streamflow, soil moisture and snowpack NWM conditions. The Reanalysis data can be used to infer flow frequencies and perform temporal analyses with hourly streamflow output and 3-hourly land surface output. The long-term dataset can also be used in the development of end user applications which require a long baseline of data for system training or verification purposes.

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NOAA National Water Model Short-Range Forecast

weatherclimateenvironmentaldisaster responseagriculturetransportationsustainability

The National Water Model (NWM) is a water resources model that simulates and forecasts water budget variables, including snowpack, evapotranspiration, soil moisture and streamflow, over the entire continental United States (CONUS). The model, launched in August 2016, is designed to improve the ability of NOAA to meet the needs of its stakeholders (forecasters, emergency managers, reservoir operators, first responders, recreationists, farmers, barge operators, and ecosystem and floodplain managers) by providing expanded accuracy, detail, and frequency of water information. It is operated by NOAA’s Office of Water Prediction. This bucket contains a four-week rollover of the Short Range Forecast model output and the corresponding forcing data for the model. The model is forced with meteorological data from the High Resolution Rapid Refresh (HRRR) and the Rapid Refresh (RAP) models. The Short Range Forecast configuration cycles hourly and produces hourly deterministic forecasts of streamflow and hydrologic states out to 18 hours.

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NOAA Operational Forecast System (OFS)

climatecoastaldisaster responseenvironmentalmeteorologicalsustainabilityoceanswaterweather

The Operational Forecast System (OFS) has been developed to serve the maritime user community. OFS was developed in a joint project of the NOAA/National Ocean Service (NOS)/Office of Coast Survey, the NOAA/NOS/Center for Operational Oceanographic Products and Services (CO-OPS), and the NOAA/National Weather Service (NWS)/National Centers for Environmental Prediction (NCEP) Central Operations (NCO). OFS generates water level, water current, water temperature, water salinity (except for the Great Lakes) and wind conditions nowcast and forecast guidance four times per day.

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OpenStreetMap Linear Referencing

gistrafficosmsustainabilitydisaster response

OSMLR a linear referencing system built on top of OpenStreetMap. OSM has great information about roads around the world and their interconnections, but it lacks the means to give a stable identifier to a stretch of roadway. OSMLR provides a stable set of numerical IDs for every 1 kilometer stretch of roadway around the world. In urban areas, OSMLR IDs are attached to each block of roadways between significant intersections.

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UK Met Office Atmospheric Deterministic and Probabilistic Forecasts

earth observationclimateweathermeteorologicalsustainability

Meteorological data reusers now have an exciting opportunity to sample, experiment and evaluate Met Office atmospheric model data, whilst also experiencing a transformative method of requesting data via Restful APIs on AWS. All ahead of Met Office’s own operationally supported API platform that will be launched in late 2019.For information about the data see the Met Office website. For examples of using the data check out the examples repository. If you need help and support using the data please raise an issue on the examples repository.

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Unidata GOES-16

gisweatherearth observationmeteorologicalsustainabilitydisaster responsesatellite imagery

GOES provides continuous weather imagery and monitoring of meteorological and space environment data across North America.

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NFA 2017 - Ecological Resource Use and Resource Capacity of Nations from 1961 to 2013

environmentalclimateeconomicslife sciencessustainability

Our National Footprint Accounts (NFAs) measure the ecological resource use and resource capacity of nations from 1961 to 2013. The calculations in the National Footprint Accounts are primarily based on United Nations data sets, including those published by the Food and Agriculture Organization, United Nations Commodity Trade Statistics Database, and the UN Statistics Division, as well as the International Energy Agency.

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DigitalGlobe Open Data Program

earth observationdisaster responsegissatellite imagerysustainability

Pre and post event high-resolution satellite imagery in support of emergency planning, risk assessment, monitoring of staging areas and emergency response, damage assessment, and recovery. Also incudes crowdsourced damage assessments for major, sudden onset disasters.

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