• Sold by AWS Open Data Sponsorship Program

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For this project, The Water Institute (the Institute) and subcontractor Colibri Ecological Consulting, LLC (Colibri) utilized established methods and protocols capable of assessing changes of colonial waterbird populations and their important habitats within individual states and the broader northern Gulf of Mexico region. Data collection activities included: Aerial Photographic Nest Surveys: Implementation of fixed-wing aircraft surveys intended to assess waterbird colonies and document associated nesting within select portions of the northern Gulf of Mexico. Additional detail is provided on the Survey Protocols page of this portal. Nest Dotting Analyses: Review and analysis of aerial photographic nest surveys (2010-2013, 2015, 2018, and 2021) with the intention of documenting the breeding population size and associated nesting for each species at each colony. Additional detail is provided on the Dotting Protocols page of this portal.

• Sold by AWS Open Data Sponsorship Program

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This dataset presents a multi-modal maritime dataset acquired in restricted waters in Pohang, South Korea. The sensor suite is composed of three LiDARs (one 64-channel LiDAR and two 32-channel LiDARs), a marine radar, two visual cameras used as a stereo camera, an infrared camera, an omnidirectional camera with 6 directions, an AHRS, and a GPS with RTK. The dataset includes the sensor calibration parameters and SLAM-based baseline trajectory. It was acquired while navigating a 7.5 km route that includes a narrow canal area, inner and outer port areas, and a near-coastal area. The aim of this dataset is to facilitate research on autonomous surface vehicles.

• Sold by AWS Open Data Sponsorship Program

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The Consented Activities of People (CAP) dataset is a fine grained activity dataset for visual AI research curated using the Visym Collector platform.

• Sold by AWS Open Data Sponsorship Program

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The New Zealand Imagery dataset consists of New Zealand's publicly owned aerial and satellite imagery, which is freely available to use under an open licence. The dataset ranges from the latest high-resolution aerial imagery down to 5cm in some urban areas to lower resolution satellite imagery that provides full coverage of mainland New Zealand, Chathams and other offshore islands. It also includes historical imagery that has been scanned from film, orthorectified (removing distortions) and georeferenced (correctly positioned) to create a unique and crucial record of changes to the New Zealand landscape. All of the imagery files are Cloud Optimised GeoTIFFs using lossless WEBP compression for the main image and lossy WEBP compression for the overviews. These image files are accompanied by STAC metadata. The imagery is organised by region and survey.

• Sold by AWS Open Data Sponsorship Program

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The Large Helical Device (LHD), owned and operated by the National Institute for Fusion Science (NIFS), is one of the world's largest plasma confinement device which employs a heliotron magnetic configuration generated by the superconducting coils. The objectives are to conduct academic research on the confinement of steady-state, high-temperature, high-density plasmas, core plasma physics, and fusion reactor engineering, which are necessary to develop future fusion reactors. All the archived data of the LHD plasma diagnostics are available since the beginning of the LHD experiment, started on 31st of March, 1998.

• Sold by AWS Open Data Sponsorship Program

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The dataset contains web archives of Open Access collections of digitised cultural heritage from more than 3,000+ websites of Ukrainian cultural institutions, such as museums, libraries or archives. The web archives have been produced by SUCHO, which is a volunteer group of more than 1,300 international cultural heritage professionals – librarians, archivists, researchers, programmers - who have joined forces to save as much digitised cultural heritage during the 2022 invasion of Ukraine before the servers hosting them get destroyed, damaged or go offline for any other reason. The web archives were created using the tools of the Webrecorder Open Source project in the open WACZ format: https://webrecorder.github.io/wacz-spec/1.1.1/. WACZ files are zipped containers of WARC (Web Archive Format) files enriched with metadata, which can contain several crawls in a single file. The file sizes can range from a few MBs to several TBs.

• Sold by AWS Open Data Sponsorship Program

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GEOGLOWS is the Group on Earth Observation's Global Water Sustainability Program. It coordinates efforts from public and private entities to make application ready river data more accessible and sustainably available to underdeveloped regions. The GEOGLOWS Hydrological Model provides a retrospective and daily forecast of global river discharge at 7 million river sub-basins. The stream network is a hydrologically conditioned subset of the TDX-Hydro streams and basins data produced by the United State's National Geospatial Intelligence Agency. The daily forecast provides 3 hourly average discharge in a 51 member ensemble and 15 day lead time derived from the ECMWF Integrated Forecast System (IFS). The retrospective simulation is derived from ERA5 climate reanalysis data and provides daily average streamflow beginning on 1 January 1940. New forecasts are uploaded daily and the retrospective simulation is updated weekly on Sundays to keep the lag time between 5 and 12 days.

• Sold by AWS Open Data Sponsorship Program

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Extracellular electrophysiology data is growing at a remarkable pace. This data, collected neuropixels probes by the Allen Institute and the International Brain Lab can be used to benchmark throughput rates and storage ratios of various data compression algorithms.

• Sold by AWS Open Data Sponsorship Program

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This dataset includes archival hourly data from the [Sofar Spotter buoy global network] (https://weather.sofarocean.com/) from 2019 to March 2022.

• Sold by AWS Open Data Sponsorship Program

Free | Publicly available

The Cell Painting Gallery is a collection of image datasets created using the Cell Painting assay. The images of cells are captured by microscopy imaging, and reveal the response of various labeled cell components to whatever treatments are tested, which can include genetic perturbations, chemicals or drugs, or different cell types. The datasets can be used for diverse applications in basic biology and pharmaceutical research, such as identifying disease-associated phenotypes, understanding disease mechanisms, and predicting a drug’s activity, toxicity, or mechanism of action (Chandrasekaran et al 2020). This collection is maintained by the Carpenter–Singh lab and the Cimini lab at the Broad Institute