• Sold by Open Data on AWS Data Exchange

Free | Publicly available

This dataset provides how-to articles from wikihow.com and their summaries, written as a coherent paragraph. The dataset itself is available at wikisum.zip, and contains the article, the summary, the wikihow url, and an official fold (train, val, or test). In addition, human evaluation results are available at wikisum-human-eval.zip. It consists of human evaluation of the summary of the Pegasus system, annotators response regarding the difficulty of the task, and words they marked as unknown.

• Sold by Open Data on AWS Data Exchange

Free | Publicly available

The Turquoise Coast (TURQ) HF ocean radar system covers the area of shelf between Seabird and Jurien Bay and is the logical continuation of major research efforts to understand the role of the Leeuwin Current System (Leeuwin Current, the Leeuwin Undercurrent and Capes Current) in controlling not only the physical system but also its links to both pelagic and benthic ecosystems. In contrast to eastern ocean basins, which are highly productive, Western Australia experiences an oligotrophic environment. The Leeuwin Current is a shallow (<300 m deep), narrow band (< 100 km wide) of warm, lower salinity, nutrient depleted water of tropical origin that flows poleward from Exmouth to Cape Leeuwin and into the Great Australian Bight. The Current plays a dominant role in controlling the marine life and climate of the region. Questions which may be addressed by using the HF ocean radar data from TURQ (and ROT) include the variability of the Leeuwin current and its response to the ENSO [...]

• Sold by Open Data on AWS Data Exchange

Free | Publicly available

The research vessels (RV Cape Ferguson and RV Solander) of the Australian Institute of Marine Science (AIMS) routinely record along-track (underway) measurements of near-surface water temperature, salinity, chlorophyll (fluorescence) and turbidity (NTU) during scientific operations in the tropical waters of northern Australia, particularly the Great Barrier Reef (GBR). All data records include sampling time (UTC), position (Latitude, Longitude) and water depth (under keel). Data are recorded at 10 second intervals. Data are measured with a Seabird SBE38 thermometer, Seabird SBE21 thermosalinograph and Wetlabs ECO-FLNTU-RT (optical sensor for chlorophyll fluorescence and turbidity). The turbidity data (NTU) are currently regarded as provisional in the absence of local validation due to intermittent bubble contamination. The sampling intakes are located at depths of 1.9m (RV Cape Ferguson) and 2.5m (RV Solander). The data is used to inform spatial patchiness of these variables an[...]

• Sold by Open Data on AWS Data Exchange

Free | Publicly available

A collection of sentences extracted from customer reviews labeled with their helpfulness score.

• Sold by Open Data on AWS Data Exchange

Free | Publicly available

The Registry of Open Data on AWS contains publicly available datasets that are available for access from AWS resources. Note that datasets in this registry are available via AWS resources, but they are not provided by AWS; these datasets are owned and maintained by a variety of government organizations, researchers, businesses, and individuals. This dataset contains derived forms of the data in https://github.com/awslabs/open-data-registry that have been transformed for ease of use with machine interfaces. Currently, only the ndjson form of the registry is populated here.

• Sold by Open Data on AWS Data Exchange

Free | Publicly available

When sellers need help from Amazon, such as how to create a listing, they often reach out to Amazon seller support through email, chat or phone. For each contact, we assign an intent so that we can manage the request more easily. The data we present in this release includes 548k contacts with 118 intents from 70k sellers sampled from recent years. There are 3 columns. 1. De-identified seller id - selleridanon; 2. Noisy inter-arrival time in the unit of hour between contacts - interarrivaltimehrnoisy; 3. An integer that represents the contact intent - contactintent. Note that, to balance the need between data anonymization and usefulness, we randomly perturbed the interarrival time in an intricate way such that the temporal pattern are preserved and seller identity are anonymized to the largest extent. We also note that for each selleridanon, the interarrivaltimehrnoisy are already arranged in chonological order, the first contactintentidanon is always the origin when[...]

• Sold by Open Data on AWS Data Exchange

Free | Publicly available

See https://lowcontext-ner-gaz.s3.amazonaws.com/readme.html

• Sold by Open Data on AWS Data Exchange

Free | Publicly available

The MegaScenes Dataset is an extensive collection of around 430k scenes, featuring over 100k structure-from-motion reconstructions and over 2 million registered images. MegaScenes includes a diverse array of scenes, such as minarets, building interiors, statues, bridges, towers, religious buildings, and natural landscapes. The images of these scenes are captured under varying conditions, including different times of day, various weather and illumination, and from different devices with distinct camera intrinsics.

• Sold by Open Data on AWS Data Exchange

Free | Publicly available

Sentinel-1 Precise Orbit Determination (POD) products contain auxiliary data on satellite position and velocity for the European Space Agency's (ESA) Sentinel-1 mission. Sentinel-1 is a C-band Synthetic Aperture Radar (SAR) satellite constellation first launched in 2014 as part of the European Union's Copernicus Earth Observation programme. POD products are a necessary auxiliary input for nearly all Sentinel-1 data processing workflows. This dataset is a mirror of the Sentinel-1 Orbits dataset hosted in the Copernicus Data Space Ecosystem (CDSE). New files are added within 20 minutes of their publication to CDSE. This dataset includes two types of POD files: RESORB and POEORB. RESORB POD files are restituted orbit files generated within 180 minutes from sensing time and published multiple times per day, with accuracy requirement of 10 cm in 2D RMS, but typi[...]

• Sold by Open Data on AWS Data Exchange

Free | Publicly available

The State of Vermont has partnered with Amazon's Open Data Initative to make a wide range of geospatial data available in the public domain. Vermont acquires aerial imagery and LiDAR during leaf-off conditions. The imagery typically ranges from 30-centimeter to 15-centimeter in resolution and is available from Vermont's Amazon S3 bucket in a Cloud Optimized GeoTiff (COG) format. LiDAR data has been acquired and is available as USGS Quality Level-1 (QL1) and Level-2 (QL2) compliant datasets in COG format. Geospatial datasets derived from imagery and/or lidar are also available as COGs, including high resolution landcover.