Unless specifically stated in the applicable data set documentation, 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
Free | Publicly available
This dataset provides product related questions, including their textual content and gap, in hours, between purchase and posting time. Each question is also associated with related product details, including its id and title.
Free | Publicly available
This dataset is part of the paper "McPhraSy: Multi-Context Phrase Similarity and Clustering" by DN Cohen et al (2022). The purpose of PCD is to evaluate the quality of semantic-based clustering of noun phrases. The phrases were collected from the [Amazon Review Dataset] (https://nijianmo.github.io/amazon/).
Free | Publicly available
To facilitate benchmarking and development, the Google Brain group has sequenced 9 human samples covering the Genome in a Bottle truth sets on different sequencing instruments, sequencing modalities (Illumina short read and Pacific BioSciences long read), sample preparation protocols, and for whole genome and whole exome capture. The original source of these data are gs://google-brain-genomics-public.
Free | Publicly available
The 2021 Amazon Last Mile Routing Research Challenge was an innovative research initiative led by Amazon.com and supported by the Massachusetts Institute of Technology’s Center for Transportation and Logistics. Over a period of 4 months, participants were challenged to develop innovative machine learning-based methods to enhance classic optimization-based approaches to solve the travelling salesperson problem, by learning from historical routes executed by Amazon delivery drivers. The primary goal of the Amazon Last Mile Routing Research Challenge was to foster innovative applied research in route planning, building on recent advances in predictive modeling, and using a real-world problem and data. The dataset released for the research challenge includes route-, stop-, and package-level features for 9,184 historical routes performed by Amazon drivers in 2018 in five metropolitan areas in the United States. This real-world dataset excludes any personally identifiable information (a[...]
Free | Publicly available
Fisheries Vessels as Ships of Opportunities (FishSOOP) is an IMOS Sub-Facility working with fishers to collect real-time temperature and depth data by installing equipment on a network of commercial fishing vessels using a range of common fishing gear. Every day, fishing vessels operate broadly across the productive areas of Australia’s Exclusive Economic Zone where we have few subsurface ocean measurements. The FishSOOP Sub-Facility is utilising this observing opportunity to cost-effectively increase the spatial and temporal resolution of subsurface temperature data in Australia’s inshore, shelf, upper-slope, and offshore waters. The data is currently returned to each fishing boat in near-real time, so skippers can relate their catches to temperature-at-depth information. The same data will also be collated to provide oceanographers with quality-controlled data for ground-truthing coastal models and to improve analysis and forecasts of oceanic conditions. The IMOS funded data [...]
Free | Publicly available
Voice-based refinements of product search
Free | Publicly available
Common reference genomes hosted on AWS S3. Can be used when aligning and analysing raw DNA sequencing data.
Free | Publicly available
The Australian National Mooring Network (ANMN) Facility is a series of national reference stations and regional moorings designed to monitor particular oceanographic phenomena in Australian coastal ocean waters. This collection contains time-series observations of temperature and salinity from moorings deployed by the ANMN. The primary parameters are temperature, pressure (when available) and depth of the instrument. A subset of this collection also includes conductivity and salinity. The observations were made using a range of temperature loggers, conductivity-temperature-depth (CTD) instruments, and temperature sensors on acoustic Doppler current profilers (ADCPs). We are also producing a gridded product of temperature time-series profiles based on these data. These will be available in a separate collection.
Free | Publicly available
This dataset provides product related questions and answers, including answers' quality labels, as as part of the paper 'IR Evaluation and Learning in the Presence of Forbidden Documents'.
Free | Publicly available
Commercial pilot simulation data during safety-of-flight scenarios.
showing 21 - 30