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 NASA Earth Exchange (NEX) Global Daily Downscaled Projections (NEX-GDDP) dataset is comprised of downscaled climate scenarios that are derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5) [Taylor et al. 2012] and across the two of the four greenhouse gas emissions scenarios known as Representative Concentration Pathways (RCPs) [Meinshausen et al. 2011] developed for the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5). The dataset is an ensemble of projections from 21 different models and two RCPs (RCP 4.5 and RCP 8.5), and provides daily estimates of maximum and minimum temperatures and precipitation using a daily Bias-Correction - Spatial Disaggregation (BCSD) method (Thrasher, et al., 2012). The data spans the entire globe with a 0.25 degree (~25-kilometer) spatial resolution for the periods from 1950 through 2005 (Historical) and from 2006 to 2100 (Climate Projections).

The NEX-GDDP-CMIP6 dataset is comprised of global downscaled climate scenarios derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 6 (CMIP6) and across two of the four "Tier 1" greenhouse gas emissions scenarios known as Shared Socioeconomic Pathways (SSPs). The CMIP6 GCM runs were developed in support of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR6). This dataset includes downscaled projections from ScenarioMIP model runs for which daily scenarios were produced and distributed through the Earth System Grid Federation. The purpose of this dataset is to provide a set of global, high resolution, bias-corrected climate change projections that can be used to evaluate climate change impacts on processes that are sensitive to finer-scale climate gradients and the effects of local topography on climate conditions.

Malawi Internet Usage: Device Vendor Market Share: Mobile: Amazon data was reported at 0.000 % in 01 May 2024. This stayed constant from the previous number of 0.000 % for 30 Apr 2024. Malawi Internet Usage: Device Vendor Market Share: Mobile: Amazon data is updated daily, averaging 0.000 % from Apr 2024 (Median) to 01 May 2024, with 9 observations. The data reached an all-time high of 0.080 % in 27 Apr 2024 and a record low of 0.000 % in 01 May 2024. Malawi Internet Usage: Device Vendor Market Share: Mobile: Amazon data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s Malawi – Table MW.SC.IU: Internet Usage: Device Vendor Market Share.

Norway Internet Usage: Device Vendor Market Share: Mobile: Amazon data was reported at 0.000 % in 22 Aug 2024. This stayed constant from the previous number of 0.000 % for 21 Aug 2024. Norway Internet Usage: Device Vendor Market Share: Mobile: Amazon data is updated daily, averaging 0.000 % from Aug 2024 (Median) to 22 Aug 2024, with 9 observations. The data reached an all-time high of 0.050 % in 18 Aug 2024 and a record low of 0.000 % in 22 Aug 2024. Norway Internet Usage: Device Vendor Market Share: Mobile: Amazon data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s Norway – Table NO.SC.IU: Internet Usage: Device Vendor Market Share.

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.

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.

Amazon reported $35.86B in Stock for its fiscal quarter ending in March of 2025. Data for Amazon | AMZN - Stock including historical, tables and charts were last updated by Trading Economics this last July in 2025.

These datasets contain peer-to-peer trades from various recommendation platforms.

Metadata includes

• peer-to-peer trades

• have and want lists

• image data (tradesy)

Amazon reported $643.26B in Assets for its fiscal quarter ending in March of 2025. Data for Amazon | AMZN - Assets including historical, tables and charts were last updated by Trading Economics this last July in 2025.

The global data catalog market is experiencing steady growth, driven by the increasing volume and complexity of enterprise data. As organizations face the challenge of managing multiple data sources and ensuring data quality and governance, the adoption of data catalogs has become increasingly important. According to market research, the total value of the market in 2025 was approximately $2.61 billion, with a projected CAGR of 2.50% from 2025 to 2033. This growth is primarily attributed to the growing need for data-driven decision-making and the proliferation of big data and artificial intelligence (AI) technologies. Key industry trends indicate a growing emphasis on cloud-based data catalog solutions, as well as the integration of AI and machine learning (ML) capabilities. These technologies enhance the automation and efficiency of data cataloging processes, while providing advanced features such as data lineage tracking and data quality monitoring. Furthermore, the convergence of data catalog solutions with other enterprise applications, such as data governance and data analytics platforms, creates opportunities for comprehensive data management and improved data utilization. The competitive landscape is characterized by a mix of established vendors and emerging players, with companies such as Tamr Inc, Collibra NV, TIBCO Software Inc, and IBM Corporation holding significant market share. Ongoing innovations and strategic acquisitions are shaping the market dynamics, as vendors strive to differentiate their offerings and meet evolving customer requirements. The global data catalog market size was valued at USD 2.0 billion in 2022 and is expected to expand at a compound annual growth rate (CAGR) of 24.3% from 2023 to 2030, reaching USD 12.0 billion by 2030. Recent developments include: November 2022 - Amazon EMR customers can now use AWS Glue Data Catalog from their streaming and batch SQL workflows on Flink. The AWS Glue Data Catalog is an Apache Hive metastore-compatible catalog. With this release, Companies can directly run Flink SQL queries against the tables stored in the Data Catalog., September 2022 - Syniti, a global leader in enterprise data management, updated new data quality and catalog capabilities available in its industry-leading Syniti Knowledge Platform, building on the enhancements in data migration and data matching added earlier this year. The Syniti Knowledge Platform now includes data quality, catalog, matching, replication, migration, and governance, all available under one login in a single cloud solution. It provides users with a complete and unified data management platform enabling them to deliver faster and better business outcomes with data they can trust., August 2022 - Oracle Cloud Infrastructure collaborated with Anaconda, the world's most recognized data science platform provider. By permitting and integrating the latter company's repository throughout OCI Machine Learning and Artificial Intelligence services, the collaboration aimed to give safe, open-source Python and R tools and packages.. Key drivers for this market are: Growing adoption of Cloud Based Solutions, Solutions Segment is Expected to Hold a Larger Market Size. Potential restraints include: Lack of Standardization and Security Concerns. Notable trends are: Solutions Segment is Expected to Hold a Larger Market Size.

Amazon reported $1.59 in EPS Earnings Per Share for its fiscal quarter ending in March of 2025. Data for Amazon | AMZN - EPS Earnings Per Share including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Amazon reported $36.98B in Selling and Administration Expenses for its fiscal quarter ending in March of 2025. Data for Amazon | AMZN - Selling And Administration Expenses including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Globally, the public cloud market is currently valued at 685.3823 billion USD and is projected to reach a staggering 2,225.9945 billion USD by 2033, reflecting a robust CAGR of 12.81% from 2025 to 2033. Faster digital transformation, rising cloud-native application development, increased affordability, and rapid penetration of mobile devices and IoT are some key growth drivers shaping the public cloud market. Furthermore, the adoption of innovative technologies like AI, ML, and analytics further fuels demand for cloud computing resources. Regionally, North America holds the largest market share, followed by Europe and Asia Pacific. Leading cloud providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) dominate the market, offering comprehensive cloud services across IaaS, PaaS, and SaaS models. Key trends shaping the market include the increasing adoption of multi-cloud and hybrid cloud solutions, the rise of edge computing, and the growing significance of data security and compliance. Despite these growth drivers, factors such as data privacy and security concerns, legacy systems, and potential vendor lock-in can restrain market growth to some extent. Recent developments include: In March 2023, Alibaba Cloud, the foundation of Alibaba Group's digital technology and intelligence, announced its partnership with long-time partner Dubai Holding to upgrade the facility with cutting-edge cloud infrastructure and a wider range of products and services in analytics, databases, industry solutions, and AI services to provide customers with the best digital solutions during their journey towards digitalization. In February 2023, Alibaba Cloud, the digital technology and intelligence core of Alibaba Group has been selected by e-commerce platform MyEUShop and its joint venture logistics partner, Nederlands Express (NLE), as their preferred cloud service provider and technology partner. MyEUShop and NLE will receive assistance from Alibaba Cloud to optimize their retail solutions and e-commerce platform infrastructure to achieve future commercial growth. In March 2023, AWS, a division of Amazon.com, Inc., has announced plans to open a region for its infrastructure in Malaysia. The new Amazon Region will allow developers, start-ups, entrepreneurs, businesses, government, educational, and charity institutions more options for using Malaysian data centers to operate their applications and serve end users. In October 2022, UBS and Microsoft announced a significant expansion of their collaboration to expand UBS's public cloud footprint over the next five years. As part of this transformational endeavour, UBS intends to operate more than half of its applications, including key workloads, on Microsoft Azure, the firm's primary cloud platform. The collaboration advances UBS's "cloud-first" strategy and modernization of its global technology estate. In July 2022, in India, Adobe Experience Manager (AEM) as a Cloud Service, powered by Adobe Experience Cloud, is now generally available, according to Adobe. With SaaS-like agility and experience management capabilities, AEM, a cloud-native solution, helps businesses manage and scale customized digital content for every channel. This enables marketers and developers to quickly create powerful, personalized digital experiences in just a few weeks, unlike the industry norm of months. . Notable trends are: Increasing demand for immersive virtual reality experiences is driving the market growth..

In 2024, with a market share of ** percent, Amazon Web Services (AWS) is set to be the leading global infrastructure as a service (IaaS) and platform as a service (PaaS) hyperscale vendor. In this specific instance, the four hyperscalers are characterized by their technology, CAPEX budget, resources, heft, and customer momentum that make them unique. While there are other companies in the market, the hyperscalers outperform these companies under consideration of the aforementioned metrics. Hyperscaler cloud provider Hyperscale cloud providers have global scale, innovative technology, and deep expertise in consulting and global business solutions. The companies utilize these abilities to offer a broad range of services to their customers, including platform re-architecture, data migration, and application development. In doing this, they become business partners rather than being mere suppliers of cloud computing resources. Cloud market segments Cloud computing can be compartmentalized into software as a service (SaaS), PaaS, and IaaS. SaaS is a software delivery model in which software is centrally hosted and delivered to customers on a subscription basis. IaaS offers an entire information technology (IT) infrastructure to its customers, which is provisioned and managed over the internet. PaaS, on the other hand, provides a full development and deployment environment in the cloud.

Amazon reported $18.4B in EBIT for its fiscal quarter ending in March of 2025. Data for Amazon | AMZN - Ebit including historical, tables and charts were last updated by Trading Economics this last July in 2025.

According to estimates, Amazon claimed the top spot among online retailers in the United States in 2023, capturing 37.6 percent of the market. Second place was occupied by the e-commerce site of the retail chain Walmart, with a 6.4 percent market share, followed in third place by Apple, with 3.6 percent.

Amazon’s continued success

Amazon has long dominated the e-commerce market as the world’s favorite online marketplace. In 2022, company hit over half a trillion U.S. dollars in net sales. The United States is by far Amazon’s most profitable market, as the U.S. branch generated over 356 billion U.S. dollars in sales in 2022. Germany ranked second, with 33 billion dollars, followed closely by the United Kingdom with 30 billion dollars.

Online shopping on the rise

Online shopping has grown significantly over the past decade, with more people turning to the internet for their shopping needs. The proof is in the numbers: the U.S. e-commerce industry was worth almost a trillion dollars in 2023. By 2027, forecasts show that the online market will grow to more than 50 percent. U.S. online shoppers purchase fashion and food and beverages the most via the internet.

According to forecasts as of March 2022, the sales share of electrical products on Amazon was expected at **** percent that year. By 2027, electrical products will make up **** percent of Amazon sales. Additionally, fashion and apparel was forecast to make up **** percent of Amazon sales by 2027, *** percentage point higher than in 2022.

S-102 is a data and metadata encoding specification that is part of the S-100 Universal Hydrographic Data Model, an international standard for hydrographic data exchange. This collection of data contains bathymetric surfaces from NOAA/NOS/OCS National Bathymetric Source, for various U.S. coastal and offshore waters and the great lakes. These datasets are encoded as HDF5 files conforming to the S-102 specification.

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.