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.

The AWS Public Blockchain Data initiative provides free access to blockchain datasets through collaboration with data providers. The data is optimized for analytics by being transformed into compressed Parquet files, partitioned by date for efficient querying.

Datasets

Blockchain dataset - Maintained by - Path:
- Bitcoin - AWS - s3://aws-public-blockchain/v1.0/btc/
- Ethereum - AWS - s3://aws-public-blockchain/v1.0/eth/
- Arbitrum - SonarX - s3://aws-public-blockchain/v1.1/sonarx/arbitrum/
- Aptos - SonarX - s3://aws-public-blockchain/v1.1/sonarx/aptos/
- Base - SonarX - s3://aws-public-blockchain/v1.1/sonarx/base/
- Provenance - SonarX - s3://aws-public-blockchain/v1.1/sonarx/provenance/
- XRP Ledger - SonarX - s3://aws-public-blockchain/v1.1/sonarx/xrp/
- Stellar(XDR files) - Stellar - s3://aws-public-blockchain/v1.1/stellar/
- The Open Network (TON) - TON - s3://aws-public-blockchain/v1.1/ton/
- Cronos - Cronos - s3://aws-public-blockchain/v1.1/cronos/

Become a Data Provider

We welcome additional blockchain data providers to join this initiative. If you're interested in contributing datasets to the AWS Public Blockchain Data program, please contact our team at aws-public-blockchain@amazon.com.

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 November 2016 over Europe region and globally since January 2017.

Automated Weather Station and AWS-like networks are the primary source of surface-level meteorological data in remote polar regions. These networks have developed organically and independently, and deliver data to researchers in idiosyncratic ASCII formats that hinder automated processing and intercomparison among networks. Moreover, station tilt causes significant biases in polar AWS measurements of radiation and wind direction. Researchers, network operators, and data centers would benefit from AWS-like data in a common format, amenable to automated analysis, and adjusted for known biases. This project addresses these needs by developing a scientific software workflow called "Justified AWS" (JAWS) to ingest Level 2 (L2) data in the multiple formats now distributed, harmonize it into a common format, and deliver value-added Level 3 (L3) output suitable for distribution by the network operator, analysis by the researcher, and curation by the data center. Polar climate researchers currently face daunting problems including how to easily: 1. Automate analysis (subsetting, statistics, unit conversion) of AWS-like L2 ASCII data. 2. Combine or intercompare data and data quality from among unharmonized L2 datasets. 3. Adjust L2 data for biases such as AWS tilt angle and direction. JAWS addresses these common issues by harmonizing AWS L2 data into a common format, and applying accepted methods to quantify quality and estimate biases. Specifically, JAWS enables users and network operators to 1. Convert L2 data (usually ASCII tables) into a netCDF-based L3 format compliant with metadata conventions (Climate-Forecast and ACDD) that promote automated discovery and analysis. 2. Include value-added L3 features like the Retrospective, Iterative, Geometry-Based (RIGB) tilt angle and direction corrections, solar angles, and standardized quality flags. 3. Provide a scriptable API to extend the initial L2-to-L3 conversion to newer AWS-like networks and instruments. Polar AWS network experts and NSIDC DAAC personnel, each with decades of experience, will help guide and deliberate the L3 conventions implemented in Stages 2-3. The project will start on July 1, 2017 at entry Technology Readiness Level 3 and will exit on June 30, 2019 at TRL 6. JAWS is now a heterogeneous collection of scripts and methods developed and validated at UCI over the past 15 years. At exit, JAWS will comprise three modular stages written in or wrapped by Python, installable by Conda: Stage 1 ingests and translates L2 data into netCDF. Stage 2 annotates the netCDF with CF and ACDD metadata. Stage 3 derives value-added scientific and quality information. The labor-intensive tasks include turning our heterogeneous workflow into a robust, standards-compliant, extensible workflow with an API based on best practices of modern scientific information systems and services. Implementation of Stages 1-2 may be straightforward though tedious due to the menagerie of L2 formats, instruments, and assumptions. The RIGB component of Stage 3 requires ongoing assimilation of ancillary NASA data (CERES, AIRS) and use of automated data transfer protocols (DAP, THREDDS). The immediate target recipient elements are polar AWS network managers, users, and data distributors. L2 borehole data suffers from similar interoperability issues, as does non-polar AWS data. Hence our L3 format will be extensible to global AWS and permafrost networks. JAWS will increase in situ data accessibility and utility, and enable new derived products (both are AIST goals). The PI is a long-standing researcher, open source software developer, and educator who understands obstacles to harmonizing disparate datasets with NASA interoperability recommendations. Our team participates in relevant geoscience communities, including ESDS working groups, ESIP, AGU, and EarthCube.

This dataset can be used to test Minimal Viable Product 2 from Research Data Exchange. This means that the data can only be analyzed in a closed and secure environment and that the output will be checked before it is shared with the data requester. The link to access the data can be found in the references. The data contains customer sentiments regarding Baby products purchased on Amazon.com, on the basis of their written reviews. The data is used for an assignment from the master track Behavioural Data Science, which be found on Kaggle, see reference.

In the fourth quarter of 2024, the most popular vendor in the cloud infrastructure services market, Amazon Web Services (AWS), controlled ** percent of the entire market. Microsoft Azure takes second place with ** percent market share, followed by Google Cloud with ** percent market share. Together, these three cloud vendors account for ** percent of total spend in the fourth quarter of 2024. Organizations use cloud services from these vendors for machine learning, data analytics, cloud native development, application migration, and other services. AWS Services Amazon Web Services is used by many organizations because it offers a wide variety of services and products to its customers that improve business agility while being secure and reliable. One of AWS’s most used services is Amazon EC2, which lets customers create virtual machines for their strategic projects while spending less time on maintaining servers. Another important service is Amazon Simple Storage Service (S3), which offers a secure file storage service. In addition, Amazon also offers security, website infrastructure management, and identity and access management solutions. Cloud infrastructure services Vendors offering cloud services to a global customer base do so through different types of cloud computing, which include infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). Further, there are different cloud computing deployment models available for customers, namely private cloud and public cloud, as well as community cloud and hybrid cloud. A cloud deployment model is defined based on the location where the deployment resides, and who has access to and control over the infrastructure.

The Data Catalog Marketsize was valued at USD 878.8 USD million in 2023 and is projected to reach USD 2749.95 USD million by 2032, exhibiting a CAGR of 17.7 % during the forecast period. Recent developments include: February 2024 – Collibra launched Collibra AI Governance, built on their Data Intelligence Platform, enabling organizations to deliver trusted AI effectively through the use of Collibra Data Catalog. It aided teams in collaborating for compliance, improved model performance, reduced risk, and led to faster production timelines., September 2023 – AWS Lake Formation launched a Hybrid Access Module for the AWS Glue Data Catalog, allowing users to selectively enable Lake Formation for tables and databases without interrupting existing users or workloads. This feature provided flexibility and an integral path for enabling Lake Formation, reducing the need for coordination among owners and consumers., July 2023 – Teradata acquired Stemma Technologies to enhance its analytics capabilities, particularly in data discovery and delivery. Stemma’s automated data catalog bolstered Teradata’s offerings, aiming to improve user experience and accelerate ML and AI analytics growth., June 2023 – Acryl Data secured USD 21 million in Series A funding led by 8VC to enhance its open-source data catalog platform. This investment enhanced their cloud offerings and expanded their vision towards a data control plane., May 2023 – data.world launched its new Data Catalog Platform, integrating generative AI bots to enhance data discovery. With over 2 million users, the platform aimed to make data discovery and knowledge unlocking accessible to users of all expertise levels., February 2023 – data.world, a data governance platform, launched the first AI Lab for the data catalog industry. This Artificial Intelligence (AI) Lab would be important in bringing partners and customers together to enhance data team productivity using AI technology., November 2022 – Amazon Web Services (AWS) launched DataZone, a new machine learning-based data management service to help enterprises catalog, share, govern, and discover their data quickly.. Key drivers for this market are: Exponential Growth of Data Volume and Data Analytics to Fuel Market Growth. Potential restraints include: High Initial Deployment Cost and Privacy Concerns to Hinder Market Growth. Notable trends are: Growing Adoption of AI and Automation Technologies to Amplify Market Growth.

The Data Lake Market size was valued at USD 5.80 USD Billion in 2023 and is projected to reach USD 28.12 USD Billion by 2032, exhibiting a CAGR of 25.3 % during the forecast period. Recent developments include: April 2023: IBM Corporation announced the launch of a new QRadar Security Suite to accelerate threat detection and response. The launch of the new technology will help improve the productivity of security teams by enabling analysts to respond faster and more efficiently, thereby freeing them up for higher-value work., December 2022: Microsoft and LSEG (London Stock Exchange Group) announced a partnership to use Microsoft Cloud to create the latter’s data infrastructure and develop new data & analytics products and services. This partnership would strengthen its position as the world's leading financial market infrastructure and data provider., November 2022: Dremio, a simple and open data lakehouse, announced key features for updating & writing data, improved support for semi-structured data, and expanded data ecosystem and business intelligence (BI) integrations in the data lakehouse evolution., February 2022: Persistent Systems acquired Data Glove and created a new Microsoft business unit focused on the Azure cloud. The acquisition expanded the delivery capabilities with highly skilled personnel, established a new nearshore distribution center in Costa Rica, and expanded the company's presence in India and the U.S., December 2021: Informatica launched a new solution that democratized access to cloud data lakes on Amazon Web Services (AWS) with AWS Lake Formation. This solution enabled business users at every level within an organization to access their data with improved security and trust to make informed business decisions.. Key drivers for this market are: Rising Demand for Effective Security Solutions Among Organizations to Drive Market Growth. Potential restraints include: Budgetary Issues Among Small-Scale Businesses May Hinder Market Growth. Notable trends are: Growing Implementation of Touch-based and Voice-based Infotainment Systems to Increase Adoption of Intelligent Cars.

The Data Pipeline Marketsize was valued at USD 6.81 USD billion in 2023 and is projected to reach USD 28.03 USD billion by 2032, exhibiting a CAGR of 22.4 % during the forecast period. Recent developments include: In 2021, IBM acquired Databand AI, a provider of data observability and quality monitoring solutions. This acquisition will help IBM to strengthen its position in the data pipeline market. In 2020, Amazon Web Services (AWS) launched Amazon Data Pipeline, a fully managed data pipeline service that makes it easy to build, run, and monitor data pipelines. This service will help AWS to gain market share in the data pipeline market.. Key drivers for this market are: Increased Use of Advanced Data Pipeline Tools for Cloud Flexibility among Organizations to Bolster Market Growth. Potential restraints include: Lack of Access to Data in Business Processes May Impede Market Growth. Notable trends are: Growing Implementation of Touch-based and Voice-based Infotainment Systems to Increase Adoption of Intelligent Cars.

Discover the booming VPC Peering Connection market! This comprehensive analysis reveals key trends, drivers, restraints, and regional insights for 2025-2033, featuring major players like AWS, Azure, and Alibaba Cloud. Learn about market size, CAGR, and segmentation for informed business decisions.

The size of the Cloud Storage Gateway Industry market was valued at USD XXX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 23.47% during the forecast period.A cloud storage gateway is basically a hardware or software appliance that acts between on-premises storage and cloud storage, hence standing as a bridge, thereby permitting frictionless transfer and access of data between local storage systems and remote cloud storage services. This gives many organizations numerous advantages.Using a cloud storage gateway, organizations can scale while reducing cost without sacrificing either performance or security. Data can be tiered between on-premises storage and the cloud in a way that makes sure data relevant to current activities are still locally stored to provide rapid access; infrequently accessed data is archived to the cloud for longer retention. This tiering approach maximizes storage spend while providing performance.Disaster recovery and business continuity may also be assured with the use of cloud storage gateways. An organization protects its data through the use of replication for its cloud-based data replication to have safety against hardware failures and such unforeseen disasters. They can then quickly retrieve data when a disaster has occurred for rapid recovery, restoring them back to the original situation. Recent developments include: January 2023: Amazon Web Services (AWS) made an important move by launching the AWS Local Zones location in Australia. This strategic step aims to enable Australian organizations to migrate additional workloads to AWS, thus supporting a hybrid cloud migration strategy and simplifying IT operations. The new location will provide low latency capabilities, which will be crucial in improving the performance of digital applications. It will also enable processing of large amounts of data faster, thus driving productivity gains., In March 2023: ASRock Industrial launched a new series of gateways designed for intelligent control at the edge. These gateways support real-time computing and can connect edge devices in a compact form factor. The iEP-7020E Series is highly beneficial in various industries, such as smart manufacturing, factory automation, robotics, process automation, smart cities, smart retail, AI surveillance, and more. This series of gateways features computing-intensive process control, ensuring optimized performance and energy efficiency., December 2022: Tiger Technology announced its entry into the digital pathology cloud file service with the launch of Tiger Bridge software. When integrated with a scanner, this software enables captured images to be sent to a public cloud repository, where remote consultants can review the images and help local medical teams make informed decisions about patient treatment., December 2022: StarWind, a leading provider of hyper-converged infrastructure (HCI) solutions, launched a storage gateway for Calamu. The storage gateway provides advanced data protection technology, safeguarding the company's backup data stored in the cloud against theft. The software's main feature is to protect in such a way that if data is stolen or copied off-site, it is automatically converted into an unusable format, thus preventing any unauthorized access. This innovative solution will help Calamu secure its data and ensure business continuity.. Key drivers for this market are: Increase in Cloud Adoption Across Several Industry Verticals, Growing Demand for Low Cost Data Storage and Faster Data Accessibility. Potential restraints include: Security Concerns Over Cloud Storage. Notable trends are: Healthcare End-user Industry Segment is Expected to Hold Significant Market Share.

This data set provides measurements of carbon dioxide flux rates (FCO2), gas transfer velocity (k), and partial pressures (pCO2) at 75 sites on rivers and streams of the Amazon River system in South America for the period beginning July 1, 2004, and ending January 23, 2007.

Several fieldwork campaigns occurred between June 2004 and January 2007 in the Amazon River basin, with discharge conditions ranging from low to high flow. The sampled areas span the spectrum of chemical characteristics observed across the entire basin, including, for example, both low and high pH values and suspended sediment loads.

There is one comma-delimited data file in this data set.

According to the source, Alphabet alone accounted for an estimated *********** of the global advertising spending in 2023, making the Google-controlling holding the world's leading media owner by that criterion. Meta and Amazon followed with shares of **** and *** percent, respectively. Along with Alibaba and TikTok, the five companies collectively accounted for over **** of the global ad expenditure that year. The same source projected that social media, connected TV (CTV), and retail media will be the leading media by forecast ad revenues growth rate in 2024. Alphabet: the omnipresent ad player Google's global ad revenues will surpass an estimated *** billion U.S. dollars in 2024 – over twice as much as recorded half a decade earlier, in 2019, before the pandemic. The annual value was forecast to continue to expand, exceeding *** billion dollars by 2027. The seemingly unstoppable growth relies on the search leviathan's nearly ubiquitous presence: As of April 2024, its browser Google Chrome, for instance, concentrated over ************** of the market share in very populated countries such as India and Brazil. In the U.S., it accounted for over **** of the browser segment, whereas the global average almost reached **********. Meta: the social media ad champion Thanks to the popularity of platforms like Facebook and Instagram, Meta still dominates the social media segment from an advertising perspective. Between early 2021 and late 2023, Meta's global in-app ad impressions quarterly growth rates consistently remained double-digit, increasing by over ** percent in the final quarter of the latter year. As of April 2024, it controlled two of the top three social networks by number of active users worldwide: Facebook with more than ***** billion at number one and third-placed Instagram with about *** billion. YouTube, controlled by Alphabet, ranked second with over *** billion active users.