We monitor a number of mentions and their sentiment on Reddit, Twitter, and Telegram for the top 100 major crypto coins by liquidity.

Designed for quants and algorithmic traders, our real-time data stream provides you with an in-depth look at the social movements around cryptocurrencies and tokens.

Stay informed on the quantity and content of discussions, social buzz, and sentiment around any crypto/web3 project with our razor-sharp data. Social Pulse won't let you miss a beat in the fast-paced world of crypto trading.

OpenWeb Ninja's Google Images Data (Google SERP Data) API provides real-time image search capabilities for images sourced from all public sources on the web.

The API enables you to search and access more than 100 billion images from across the web including advanced filtering capabilities as supported by Google Advanced Image Search. The API provides Google Images Data (Google SERP Data) including details such as image URL, title, size information, thumbnail, source information, and more data points. The API supports advanced filtering and options such as file type, image color, usage rights, creation time, and more. In addition, any Advanced Google Search operators can be used with the API.

OpenWeb Ninja's Google Images Data & Google SERP Data API common use cases:

• Creative Media Production: Enhance digital content with a vast array of real-time images, ensuring engaging and brand-aligned visuals for blogs, social media, and advertising.

• AI Model Enhancement: Train and refine AI models with diverse, annotated images, improving object recognition and image classification accuracy.

• Trend Analysis: Identify emerging market trends and consumer preferences through real-time visual data, enabling proactive business decisions.

• Innovative Product Design: Inspire product innovation by exploring current design trends and competitor products, ensuring market-relevant offerings.

• Advanced Search Optimization: Improve search engines and applications with enriched image datasets, providing users with accurate, relevant, and visually appealing search results.

OpenWeb Ninja's Annotated Imagery Data & Google SERP Data Stats & Capabilities:

• 100B+ Images: Access an extensive database of over 100 billion images.

• Images Data from all Public Sources (Google SERP Data): Benefit from a comprehensive aggregation of image data from various public websites, ensuring a wide range of sources and perspectives.

• Extensive Search and Filtering Capabilities: Utilize advanced search operators and filters to refine image searches by file type, color, usage rights, creation time, and more, making it easy to find exactly what you need.

• Rich Data Points: Each image comes with more than 10 data points, including URL, title (annotation), size information, thumbnail, and source information, providing a detailed context for each image.

A complete list of live websites using the Data technology, compiled through global website indexing conducted by WebTechSurvey.

This dataset contains files and materials in support of the California's Groundwater Live website. California's Groundwater Live is a user-friendly platform that allows users to view and interact with the latest information on groundwater in California. California's Groundwater Live website can be found at: https://sgma.water.ca.gov/CalGWLive/.

GapMaps Live is an easy-to-use location intelligence platform available across 25 countries globally that allows you to visualise your own store data, combined with the latest demographic, economic and population movement intel right down to the micro level so you can make faster, smarter and surer decisions when planning your network growth strategy.

With one single login, you can access the latest estimates on resident and worker populations, census metrics (eg. age, income, ethnicity), consuming class, retail spend insights and point-of-interest data across a range of categories including fast food, cafe, fitness, supermarket/grocery and more.

Some of the world's biggest brands including McDonalds, Subway, Burger King, Anytime Fitness and Dominos use GapMaps Live as a vital strategic tool where business success relies on up-to-date, easy to understand, location intel that can power business case validation and drive rapid decision making.

Primary Use Cases for GapMaps Live includes:

1. Retail Site Selection - Identify optimal locations for future expansion and benchmark performance across existing locations.
2. Customer Profiling: get a detailed understanding of the demographic profile of your customers and where to find more of them.
3. Analyse your catchment areas at a granular grid levels using all the key metrics
4. Target Marketing: Develop effective marketing strategies to acquire more customers.
5. Marketing / Advertising (Billboards/OOH, Marketing Agencies, Indoor Screens)
6. Customer Profiling
7. Target Marketing
8. Market Share Analysis

Some of features our clients love about GapMaps Live include: - View business locations, competitor locations, demographic, economic and social data around your business or selected location - Understand consumer visitation patterns (“where from” and “where to”), frequency of visits, dwell time of visits, profiles of consumers and much more. - Save searched locations and drop pins - Turn on/off all location listings by category - View and filter data by metadata tags, for example hours of operation, contact details, services provided - Combine public data in GapMaps with views of private data Layers - View data in layers to understand impact of different data Sources - Share maps with teams - Generate demographic reports and comparative analyses on different locations based on drive time, walk time or radius. - Access multiple countries and brands with a single logon - Access multiple brands under a parent login - Capture field data such as photos, notes and documents using GapMaps Connect and integrate with GapMaps Live to get detailed insights on existing and proposed store locations.

This dataset provides comprehensive access to financial market data from Google Finance in real-time. Get detailed information on stocks, market quotes, trends, ETFs, international exchanges, forex, crypto, and related news. Perfect for financial applications, trading platforms, and market analysis tools. The dataset is delivered in a JSON format via REST API.

This dataset contains the raw images as well as the analysis pipelines and scripts used in the paper "Multi-site assessment of reproducibility in high-content live cell imaging data".

The Original data-2D.rar file contains the raw timelapse images of HT1080 cell line stably expressing H2B-EGFP and Lifeact-mCherry seeded on collagen I coated glass surface. Migration behavior of the cells was recorded in 5 min intervals for 6 h with fluorescent light microscopes equipped with environmental chamber. The experiment was performed by 3 labs, 3 person in each lab, 3 independent experiments by each person, 3 technical replicates in each experiment, and two conditions (control and ROCK inhibition) for each technical repliates.

The Data processing and analysis-2D.rar file contains the Matlab, CellProfiler, ImageJ, and R pipelines and scripts used in this study to process, quantify, and analyze the images. Detailed procedure could be found in the "Image processing and analysis procedures.txt" file within this .rar file.

The 3D Image data from Lab 1.zip and 3D Image data from Lab 2.zip contain the raw images and the quantified results of the 3D migration assay from Lab 1 and Lab 2, respectively. The experiment was performed with HT1080 cell line stably expressing H2B-EGFP and Lifeact-mCherry embedded in 2.5mg/ml or 6mg/ml collagen I gels. The invasion of the cells from 3D spheroid was recorded with confocal microscopy 24 h after seeding. The experiment was performed by 2 labs, 3 independent experiments in each lab, 3 technical replicates in each experiment, and two conditions (2.5 mg/ml and 6 mg/ml of collagen I) for each technical repliates.

The Meta data of the 3D experiment.zip contains the meta data of the 3D image data from Lab 1 (Radboudumc) and Lab 2 (Crick) as well as the software to read the meta data. After unzipping, ISAcreator program should be used to read the ISAfiles of Lab 1 or Lab 2.

The Fiji Plugins and parameters for 3D image data analysis.rar contains the Fiji plugins and also the parameters used during the 3D image data analysis.

The 3D Data Analysis Scripts.rar contains the R scripts used in this study to analyze the 3D data set, as well as the quantified results needed by the R scripts.

The Supplementary Materials 2-8.rar contains 2D experimental protocol (supplementary materials 2-4), 2D experimental survey (supplementary materials 3), and 3D experimental and image analysis protocols (supplementary materials 5-8) that are used in this study.

We encourage reuse using the same CC BY 4.0 License.

The live crawling service market is experiencing robust growth, driven by the increasing need for real-time data insights across various sectors. Businesses are increasingly relying on up-to-the-minute information to optimize their SEO strategies, monitor brand reputation, and gain a competitive edge. The market's expansion is fueled by the rising adoption of advanced analytics, the proliferation of e-commerce, and the growing demand for personalized user experiences. Key players like X-Byte Enterprise Crawling, Actowiz Solutions, PromptCloud, and DataForSEO are actively shaping the market landscape through continuous innovation and expansion of their service offerings. The increasing complexity of website architectures and the need for efficient data extraction are also contributing to market growth. While data security and privacy concerns present potential restraints, the ongoing development of robust security protocols and compliance measures is mitigating these challenges. We estimate the market size to be approximately $500 million in 2025, with a Compound Annual Growth Rate (CAGR) of 15% projected from 2025 to 2033. This translates to a significant market expansion over the forecast period. Segmentation within the live crawling service market includes different pricing models, service levels, and target industries. Geographic variations also exist, with North America and Europe currently dominating the market share due to higher adoption rates and technological advancements. However, Asia-Pacific is anticipated to show significant growth in the coming years driven by expanding digital economies and increasing internet penetration. The competitive landscape is marked by both established players and emerging startups, leading to innovation in service offerings and pricing strategies. This dynamic market is expected to continue its strong growth trajectory, driven by technological innovation and the increasing reliance on real-time data across a broad range of industries.

As of the third quarter of 2024, internet users spent six hours and 38 minutes online daily. This is a slight increase in comparison to the previous quarter. Overall, between the third quarter of 2015 and the third quarter of 2024, the average daily internet use has increased by 19 minutes. Most online countries Internet users between 16 and 64 years old in South Africa spent the longest time online daily, nine hours and 27 minutes, followed by Brazil and the Philippines. These figures include the time spent using the internet on any device. In Japan, internet users spent around three hours and 57 minutes online per day. Users in Denmark also spent relatively less time on the internet, reaching about five hours daily. Most common online activities According to a 2024 survey, more than six in 10 people worldwide used the internet to find information. Furthermore, the usage of communication platforms was also a common reason for going online, followed by online content consumption, such as watching videos, TV shows, or movies.

The real-time index database market is experiencing robust growth, driven by the increasing demand for real-time insights across diverse sectors. The market's expansion is fueled by the proliferation of data-intensive applications, particularly in finance, e-commerce, and IoT. Businesses are increasingly reliant on immediate data analysis for informed decision-making, optimized operations, and improved customer experiences. The surge in the adoption of cloud-based solutions and the growing sophistication of analytics tools are key factors contributing to the market's upward trajectory. Major players like Elastic, Amazon Web Services, and Splunk are leading the innovation, offering scalable and highly performant solutions to address the growing complexity and volume of real-time data. Competition is intense, with companies continuously striving to enhance their offerings with features such as advanced analytics capabilities, enhanced security, and improved integration with other enterprise systems. While the market presents significant opportunities, challenges remain. The complexities of managing and analyzing real-time data streams, along with the associated infrastructure costs, can present hurdles for adoption. Ensuring data security and compliance with industry regulations also poses considerable challenges for businesses. However, ongoing advancements in database technology, coupled with the decreasing cost of cloud computing resources, are mitigating these concerns and opening up new avenues for growth. The market is expected to witness continuous innovation, with the emergence of new technologies and approaches to further improve the efficiency and scalability of real-time index databases. This will drive the market toward greater adoption across various industries and contribute to its sustained expansion in the coming years. We estimate a market size of $15 billion in 2025, with a CAGR of 15% over the forecast period (2025-2033).

A complete list of live websites using the Corona Virus Data technology, compiled through global website indexing conducted by WebTechSurvey.

A complete list of live websites using the Traverse Data technology, compiled through global website indexing conducted by WebTechSurvey.

This record is for Approval for Access product AfA104 Real-time Flood Data River Levels via our API.

This dataset covers monitoring data that is only updated on our systems during a routine daily update cycle, some sites will update more frequently as we update the field technology used over the next few years till 2025. During times of flooding, or other water level related incidents our update frequency can be increased if the technology at site allows.

Readings are transferred via telemetry to internal and external systems in or close to real-time. This data is transferred to other systems, including the API.

Data for sites in Wales is included in the Open Data feed, but is owned by Natural Resources Wales (NRW). NRW also class the data as Open Data, and you may use it under the same terms as the England data (the standard Open Government Licence, available on The National Archives website).

Measurements of the height (m) of water in a river lake or coastal site are taken using automatic field instruments and typically log the value every 15 minutes. Information is available for 1400 river gauging stations (where flow is also measured) and 1800 river level only monitoring sites throughout England as well as some reservoirs and coastal sites. Attribution statement: © Environment Agency copyright and/or database right 2021. All rights reserved.

PO.DAAC provides several ways to discover and access physical oceanography data, from the PO.DAAC Web Portal to FTP access to front-end user interfaces (see http://podaac.jpl.nasa.gov). That same data can also be discovered and accessed through PO.DAAC Web Services, enabling efficient machine-to-machine communication and data transfers.

Park and Ride sites. For further information about Park and Ride sites please visit the iTravelYork website. *Please note that the data published within this dataset is a live API link to CYC's GIS server. Any changes made to the master copy of the data will be immediately reflected in the resources of this dataset.The date shown in the "Last Updated" field of each GIS resource reflects when the data was first published.

This dataset provides comprehensive real-time data from Amazon's global marketplaces. It includes detailed product information, reviews, seller profiles, best sellers, deals, influencers, and more across all Amazon domains worldwide. The data covers product attributes like pricing, availability, specifications, reviews and ratings, as well as seller information including profiles, contact details, and performance metrics. Users can leverage this dataset for price monitoring, competitive analysis, market research, and building e-commerce applications. The API enables real-time access to Amazon's vast product catalog and marketplace data, helping businesses make data-driven decisions about pricing, inventory, and market positioning. Whether you're conducting market analysis, tracking competitors, or building e-commerce tools, this dataset provides current and reliable Amazon marketplace data. The dataset is delivered in a JSON format via REST API.

Our collection of data is primarily GIS and geospatially oriented but our tool will help you find other assets including databases, applications and much more. With the new USGS Energy Data Finder, you can:

Search or browse through our data holdings using a variety of parameters including by location using our state-of-the-art search map interface.

Download or preview live data assets. Share data assets using your favorite social networking platform. Embed live data assets into your applications and websites.

For developers: access search results using common web services representations through our RESTful api.

There are now many ongoing efforts to develop low-cost, open-source, low-power sensors and datalogging solutions for environmental applications. Many of these have advanced to the point that high quality scientific measurements can be made using relatively inexpensive and increasingly off-the-shelf components. With the development of these innovative systems, however, comes the ability to generate large volumes of high-frequency monitoring data and the challenge of how to log, transmit, store, and share the resulting data. This presentation will focus on a new, web-based system http://data.envirodiy.org that was designed to enable citizen scientists to stream sensor data from a network of EnviroDIY Mayfly Arduino-based dataloggers. This system enables registration of new sensor nodes through a website. Once registered, any Internet connected device (e.g., cellular or WIFI) can then post data to the data.envirodiy.org website through a web service programming interface. Data are stored in a back-end data store that implements Version 2 of the Observations Data Model (ODM2). Live data can then be viewed and downloaded from the data.envirodiy.org website in a simple text format. While this system was purpose built to support an emerging network of Arduino-based sensor nodes deployed by citizen scientists in the Delaware River Basin, the architecture and components are generic and could be used by any Internet connected device capable of making measurements and formulating an HTTP POST request to send them to data.envirodiy.org.

This map features a set of live feature layers of OpenStreetMap (OSM) data for North America. The layers are updated every few minutes with the latest OSM data. The map contains bookmarks for several large cities in North America that you can browse, but you can explore any part of Canada, Greenland, Mexico, or the United States to see the OSM data in each layer.The feature layers in this map provide access to OSM data that is updated continuously by OSM contributors. The layers in this map are hosted feature layer views. The feature layer views each reference a hosted feature layer of OSM data (point, line, or polygon) in ArcGIS Online, which are updated with minutely diffs from the OSM planet file. The feature layers represent different types of features (e.g. buildings, highways, amenities) that are defined as a query against one of the hosted feature layers.These layers are intended for visualization, analysis, and (eventually) export of the OSM data. Users can click on the features to get 'popup' info about a feature based on tags that have been applied by OSM contributors. Users can also change the symbology of features, or filter features by attributes, to highlight specific types of features (e.g. schools or hospitals).The layers have an automatic refresh interval of varying lengths so they will display new features, or update existing features, in the map as edits are made by other OSM contributors and refreshed in the layer cache. The layers have cache control settings ranging between 1 and 15 minutes, depending on update frequency, in order to optimize display performance and scalability.You can edit the OSM data through the OpenStreetMap Web site or other OSM editors such as RapiD. The layer popups include links to view or edit individual features in the OpenStreetMap Web site. You can access these and other feature layers through the OpenStreetMap Layers group in the OpenStreetMap site maintained by Esri in ArcGIS Online.

This map provides locations for all of the real-time wind and rainfall data sites used in the Hawaii Rainfall Summary (RRAHFO), the Hawaii One-Hour Rainfall Summary (RR5HFO), and the Hawaii Wind Data (OSOHFO) products. The map replaces the static version, which is still valid, but cannot accommodate the large number of real-time sites that are now available. The data sites belong to the National Oceanic and Atmospheric Administration, the U.S. Geological Survey, National Park Service, Bureau of Land Management, U.S. Fish and Wildlife Service, Department of Defense, State of Hawaii Dept. of Land and Natural Resources, University of Hawaii at Manoa, and the Hawaiian Electric Company.