Twitter is preparing to launch several impressive new features, including a new streaming API that will give desktop client applications real-time access to the user's message timeline.

The Near Real-time Data Access (NeRDA) Portal is making near real-time data available to our stakeholders and interested parties. We're helping the transition to a smart, flexible system that connects large-scale energy generation right down to the solar panels and electric vehicles installed in homes, businesses and communities right across the country. In line with our Open Networks approach, our Near Real-time Data Access (NeRDA) portal is live and making available power flow information from our EHV, HV, and LV networks, taking in data from a number of sources, including SCADA PowerOn, our installed low voltage monitoring equipment, load model forecasting tool, connectivity model, and our Long-Term Development Statement (LTDS). Making near real-time data accessible from DNOs is facilitating an economic and efficient development and operation in the transition to a low carbon economy. NeRDA is a key enabler for the delivery of Net Zero - by opening network data, it is creating opportunities for the flexible markets, helping to identify the best locations to invest flexible resources, and connect faster. You can access this information via our informative near real-time Dashboard and download portions of data or connect to our API and receive an ongoing stream of near real-time data.

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Streaming Analytics Market Size 2024-2028

The streaming analytics market size is forecast to increase by USD 39.7 at a CAGR of 34.63% between 2023 and 2028.

The market is experiencing significant growth due to the increasing need to improve business efficiency in various industries. The integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies is a key trend driving market growth. These technologies enable real-time data processing and analysis, leading to faster decision-making and improved operational performance. However, the integration of streaming analytics solutions with legacy systems poses a challenge. IoT platforms play a crucial role In the market, as IoT-driven devices generate vast amounts of data that require real-time analysis. Predictive analytics is another area of focus, as it allows businesses to anticipate future trends and customer behavior, leading to proactive decision-making.Overall, the market is expected to continue growing, driven by the need for real-time data processing and analysis in various sectors.

What will be the Size of the Streaming Analytics Market During the Forecast Period?

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The market is experiencing significant growth due to the increasing demand for real-time insights from big data generated by emerging technologies such as IoT and API-driven applications. This market is driven by the strategic shift towards digitization and cloud solutions among large enterprises and small to medium-sized businesses (SMEs) across various industries, including retail. Legacy systems are being replaced with modern streaming analytics platforms to enhance data connectivity and improve production and demand response. The financial impact of real-time analytics is substantial, with applications in fraud detection, predictive maintenance, and operational efficiency. The integration of artificial intelligence (AI) and machine learning algorithms further enhances the market's potential, enabling businesses to gain valuable insights from their data streams.Overall, the market is poised for continued expansion as more organizations recognize the value of real-time data processing and analysis.

How is this Streaming Analytics Industry segmented and which is the largest segment?

The streaming analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. DeploymentCloudOn premisesTypeSoftwareServicesGeographyNorth AmericaCanadaUSAPACChinaJapanEuropeUKMiddle East and AfricaSouth America

By Deployment Insights

The cloud segment is estimated to witness significant growth during the forecast period.

Cloud-deployed streaming analytics solutions enable businesses to analyze data in real time using remote computing resources, such as the cloud. This deployment model streamlines business intelligence processes by collecting, integrating, and presenting derived insights instantaneously, enhancing decision-making efficiency. The cloud segment's growth is driven by benefits like quick deployment, flexibility, scalability, and real-time data visibility. Service providers offer these capabilities with flexible payment structures, including pay-as-you-go. Advanced solutions integrate AI, API, and event-streaming analytics capabilities, ensuring compliance with regulations, optimizing business processes, and providing valuable data accessibility. Cloud adoption in various sectors, including finance, healthcare, retail, and telecom, is increasing due to the need for real-time predictive modeling and fraud detection.SMEs and startups also benefit from these solutions due to their ease of use and cost-effectiveness. In conclusion, cloud-based streaming analytics solutions offer significant advantages, making them an essential tool for organizations seeking to digitize and modernize their IT infrastructure.

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The Cloud segment was valued at USD 4.40 in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

APAC is estimated to contribute 34% to the growth of the global market during the forecast period.

Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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In North America, the region's early adoption of advanced technology and high data generation make it a significant market for streaming analytics. The vast amounts of data produced in this tech-mature region necessitate intelligent analysis to uncover valuable relationships and insights. Advanced software solutions, including AI, virtualiza

The live streaming SDKs and APIs market is estimated to be valued at US$ 1,430 million in 2025 and is projected to grow at a CAGR of 5.7% from 2025 to 2033. The growth of this market can be attributed to the increasing adoption of live streaming technologies across various industries, such as e-commerce, entertainment, and education. Live streaming SDKs and APIs enable developers to easily integrate live streaming capabilities into their applications, making it easier for users to broadcast and view live video content. Key drivers of the live streaming SDKs and APIs market include the growing popularity of social media platforms, the rising demand for remote collaboration, and the increasing use of live streaming for marketing and advertising purposes. Key trends in the market include the adoption of cloud-based live streaming solutions, the use of artificial intelligence (AI) to enhance live video content, and the emergence of new technologies such as augmented reality (AR) and virtual reality (VR) for live streaming. The North American region is expected to account for the largest share of the live streaming SDKs and APIs market, followed by the Asia Pacific region.

The live streaming SDKs and APIs market is anticipated to witness steady growth over the coming years. The market is projected to reach a value of XX million by 2036, expanding at a CAGR of XX% during the forecast period. The market growth is driven by the increasing adoption of live streaming across various sectors, including e-commerce, entertainment, and education. The adoption of cloud-based live streaming solutions is a key trend in the market, offering benefits such as scalability, flexibility, and cost-effectiveness. The North American region is expected to hold the largest market share throughout the forecast period, followed by Europe and Asia Pacific. The US is the leading revenue contributor to the market in North America, due to the presence of major technology companies and the high adoption of live streaming services. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by the expanding e-commerce sector and the growing popularity of live entertainment platforms in countries such as China and India.

The global Live Streaming SDKs and APIs market is projected to reach a valuation of approximately USD 4.5 billion by 2033, growing at a compound annual growth rate (CAGR) of 15.2% from 2025 to 2033.

This location data product focuses on real-time GPS pings collected across North, Central, and South America. Using the Irys Location API, users can access polygon-based movement patterns from anonymized mobile devices across urban and rural areas.

Events include timestamps, precise geocoordinates, country codes, and device identifiers. Query the dataset using polygon filters and receive structured outputs via API or cloud endpoints. Supported formats include JSON, CSV, and Parquet.

With historical backfill and fresh updates every day, the dataset is ideal for retailers, advertisers, city planners, and researchers analyzing behavior and trends across the Americas. It supports use cases like retail site selection, mobility forecasting, and geofencing for public safety.

All data is delivered with a maximum lag of three days and complies with GDPR and CCPA regulations.

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Web Real Time Communication (WebRTC) Market Size 2025-2029

The web real time communication (WebRTC) market size is forecast to increase by USD 247.7 billion, at a CAGR of 62.6% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing demand for easy-to-use real-time communication solutions. This trend is further fueled by the integration of WebRTC with internet of things (IoT) sensors, enabling seamless communication between devices and users. However, the market faces challenges, primarily the lack of high-end video conferencing features, which may hinder its adoption in corporate environments. Companies seeking to capitalize on this market's opportunities should focus on enhancing the user experience and addressing the need for advanced video conferencing features.
By doing so, they can effectively navigate the competitive landscape and establish a strong presence in the rapidly evolving WebRTC market.

What will be the Size of the Web Real Time Communication (WebRTC) Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The Web Real-Time Communication (WebRTC) market continues to evolve, with dynamic applications across various sectors. Real-time video streaming, online gaming, and distance learning are key areas where WebRTC shines. Packet loss concealment, video conferencing, and WebRTC gateways ensure seamless communication. Adaptive bitrate streaming and interoperability testing maintain quality and compatibility. Signaling protocols and media negotiation facilitate session establishment. Jitter buffer and error correction optimize performance. Noise suppression and echo cancellation enhance audio processing. WebRTC SDKs and APIs simplify integration. Browser compatibility and live streaming expand reach.

Interactive broadcasting and peer-to-peer communication foster engagement. Network congestion control and session management ensure reliability. Media codecs and chat applications enrich user experience. WebRTC's continuous evolution includes advancements in signaling servers, performance benchmarking, and firewall traversal. The market's unfolding patterns reflect the ongoing integration of these features into innovative applications.

How is this Web Real Time Communication (WebRTC) Industry segmented?

The web real time communication (WebRTC) industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Application

  Video
  Voice
  Data sharing


Platform

  Mobile
  Browser
  UC


End-User

  Retail
  BFSI
  IT & Telecom
  Media & Entertainment
  Third-Party Logistics (3PL)
  Retail
  BFSI
  IT & Telecom
  Media & Entertainment
  Third-Party Logistics (3PL)


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Application Insights

The video segment is estimated to witness significant growth during the forecast period.

Web Real Time Communication (WebRTC) technology is revolutionizing business communication by enabling real-time, high-quality video streaming and conferencing directly through web and mobile applications. This innovative solution eliminates the need for additional software or plugins, providing a seamless user experience. The technology's reliability is ensured through features like jitter buffer, packet loss concealment, and error correction. WebRTC's versatility extends beyond video conferencing. It's used extensively in online gaming, distance learning, and interactive broadcasting, offering a more immersive and harmonious communication experience. The technology's media negotiation capabilities allow for adaptive bitrate streaming, ensuring optimal performance even in network congestion.

WebRTC's interoperability is crucial, as it allows for peer-to-peer communication and firewall traversal, making it a preferred choice for remote collaboration and real-time chat applications. Signaling protocols facilitate session establishment and management, while media codecs support various audio and video formats. WebRTC's SDKs and APIs, such as getUserMedia, RTCPeerConnection, and RTCDataChannel, are built into modern browsers, making implementation easy and efficient. WebRTC gateways further enhance its functionality by enabling interoperability between WebRTC and non-WebRTC endpoints. Performance benchmarking and network congestion control are essential for maintaining a high-quality user experience. WebRTC solutions address these challenges through advanced techniques like echo cancel

Social media can be mirrors of human interaction, society, and world events. Their reach enables the global dissemination of information in the shortest possible time and thus the individual participation of people all over the world in global events in almost real-time. However, equally efficient, these platforms can be misused in the context of information warfare in order to manipulate human perception and opinion formation. The outbreak of war between Russia and Ukraine on February 24, 2022, demonstrated this in a striking manner.

Here we publish a dataset of raw tweets collected by using the Twitter Streaming API in the context of the onset of the war which Russia started on Ukraine on February 24, 2022. A distinctive feature of the dataset is that it covers the period from one week before to one week after Russia's invasion of Ukraine. We publish the IDs of all tweets we streamed during that time, the time we rehydrated them using Twitter's API as well as the result of the rehydration. If you use this dataset, please cite our related Paper:

Pohl, Janina Susanne and Seiler, Moritz Vinzent and Assenmacher, Dennis and Grimme, Christian, A Twitter Streaming Dataset collected before and after the Onset of the War between Russia and Ukraine in 2022 (March 25, 2022). Available at SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4066543

The Communication API market is experiencing robust growth, driven by the increasing adoption of cloud-based communication solutions and the rising demand for seamless omnichannel customer engagement. Businesses across various sectors, from large enterprises to SMEs, are leveraging APIs to integrate communication functionalities into their existing applications and workflows, enhancing operational efficiency and customer experience. The market is segmented by application (Large Enterprise, SMEs) and API type (Voice, SMS, Video, Verify), with Voice and SMS APIs currently dominating the market share due to their widespread adoption and established infrastructure. However, Video APIs are witnessing significant growth fueled by the surge in video conferencing and live streaming applications. The Verify API segment, focused on secure authentication and fraud prevention, is also experiencing rapid expansion driven by increasing security concerns. Geographic distribution shows a strong presence in North America and Europe, with Asia Pacific emerging as a high-growth region due to increasing digital adoption and a large mobile user base. While competitive pressures and technological advancements continue to shape the market landscape, the overall outlook for the Communication API market remains positive, projecting substantial growth over the forecast period. The market's growth is influenced by several factors. The increasing demand for real-time communication solutions, particularly in customer service and support, is a major driver. Furthermore, the cost-effectiveness and scalability offered by cloud-based Communication APIs are making them increasingly attractive to businesses of all sizes. However, challenges such as data security concerns, regulatory compliance requirements, and the need for robust API integration capabilities present potential restraints. To overcome these challenges, API providers are constantly innovating to offer enhanced security features, streamlined integration processes, and compliance-ready solutions. This ongoing evolution is expected to further fuel the market’s growth trajectory in the coming years, particularly as emerging technologies like AI and machine learning are integrated into communication API platforms.

The Live Streaming SDKs and APIs market has experienced significant growth in recent years, driven by the increasing demand for real-time video content across various platforms and industries. Live streaming allows businesses and individuals to engage audiences instantly and interactively, making it a vital tool for

This repository stores the IDs from tweets delivered by the Twitter API v2 sampled stream endpoint. The sampled stream endpoint delivers a roughly 1% random sample of publicly available Tweets in real-time.

The Speech-to-Text API Market size was valued at 1,321.5 USD million in 2023 and is projected to reach 3036.5 USD million by 2032, exhibiting a CAGR of 18.5 % during the forecast period. The API Speech-to-Text is a high-efficiency technology that, on a real-time basis, converts spoken language into text format. It leverages cutting-edge algorithms that specifically serve to transcribe voice input to smooth out the function of speech recognition features that can be strategically introduced into different applications. This API provides functions like multilingual support, adjustable recognition models and streaming for live stream thus, enabling greater flexibility and accuracy. It is the most varied task that the digital workforce carries out. Industries like customer service, transcription services, and accessibility tools use this digital task. The Speech-to-Text API is the significant impulse to transcription process automation, which in turn results in considerable time and labour savings on manual transcription task performance, consequently increasing general efficiency. Furthermore, it simplifies utilization for the deaf audience and supports the development of breakthrough voice-style applications, which ends in increasing the user experience quality and the achievements in speech technology. Key drivers for this market are: Burgeoning Demand for Big Data Analytics among Organizations to Aid Market Growth. Potential restraints include: Lack of Awareness about Cyber Security and Vulnerability to Hinder Growth.

This Java Script Open Notation (JSON) Feed and ArcGIS Online map presents the unplanned road closures within the ACT in real-time.

The fields of the JSON string include:

Object ID (Numeric field) Global ID (Alpha-numeric field) Project title (Free text field string) Type (Selected from: light rail, special event, road works, emergency, utilities, telecommunications, building construction, ActewAGL, NBN, charitable organisation, inclement weather, other) Describe activity (Free text field string required if "other" type selected) Roads closed (Free text field string) Reason for road closure (Free text field string) Closure start time (Unix Format - see data dictionary for syntax) Closure end time (Unix Format - see data dictionary for syntax) Geometry (X,Y longitude, latitude format)

More information regarding the syntax for querying this API can be found in the linked data dictionary.

This dataset consists of tweet identifiers for tweets harvested between November 28, 2016, following the election of Donald Trump through the end of the first 100 days of his administration. Data collection ended May 1, 2017.

Tweets were harvested using multiple methods described below. The total dataset consists of 218,273,152 tweets. Because of the different methods used to harvest tweets, there may be some duplication.

Methods Data were harvested from the Twitter API using the following endpoints:

search
timeline
filter

Three tweet sets were harvested using the search endpoint, which returns tweets that include a specific search term, user mention, hashtag, etc. The table below provides the search term, data collection dates, the total number of tweets in the corresponding tweet set, and the total number of unique Twitter users represented.

    Search term 
    Dates collected
    Count tweets
    Count unique users




    @realDonaldTrump user mention
    2016-11-28 - 2017-05-01
    4,597,326 
    1,501,806


    "Trump" in tweet text 
    2017-01-18 - 2017-05-01
    11,055,772 
    2,648,849


    #MAGA hashtag 
    2017-01-23 - 2017-05-01
    1,169,897 
    236,033

Two tweet sets were harvested using the timeline endpoint, which returns tweets published by specific users. The table below provides the user whose timeline was harvested, data collection dates, the total number of tweets in the corresponding tweet set, and the total number of unique Twitter users represented. Note that in these cases, tweets were necessarily limited to the one unique user whose tweets were harvested.

    User
    Dates collected
    Count tweets
    Count unique users




    realDonaldTrump
    2016-12-21 - 2017-05-01
    902
    1


    trumpRegrets
    2017-01-15 - 2017-05-01
    1,751
    1

The largest tweet set was harvested using the filter endpoint, which allows for streaming data access in near real time. Requests made to this API can be filtered to include tweets that meet specific criteria. The table below provides the filters used, data collection dates, the total number of tweets in the corresponding tweet set, and the total number of unique Twitter users represented.

Filtering via the API uses a default "OR," so the tweets included in this set satisfied any of the filter terms.

The script used to harvest streaming data from the filter API was built using the Python tweepy library.

    Filter terms
    Dates collected
    Count tweets
    Count unique users



    tweets by realDonaldTrump

    tweet mentions @realDonaldTrump

    'maga' in text

    'trump' in text

    'potus' in text

    2017-01-26 - 2017-05-01
    201,447,504 
    12,489,255

Harvested tweets, including all corresponding metadata, were stored in individual JSON files (one file per tweet).

Data Processing: Conversion to CSV format

Per the terms of Twitter's developer API, tweet datasets may be shared for academic research use. Sharing tweet data is limited to sharing the identifiers of tweets, which must be re-harvested to account for deletions and/or modifications of individual tweets. It is not permitted to share the originally harvested tweets in JSON format.

Tweet identifiers have been extracted from the JSON data and saved as plain text CSV files. The CSV files all have a single column:

id_str (string): A tweet identifier

The data include one tweet identifier per row.

The Video Platform as a Service (VPaaS) software market is experiencing robust growth, driven by the increasing demand for high-quality video streaming across diverse sectors. The market, valued at $1103.4 million in 2025, is projected to exhibit significant expansion throughout the forecast period (2025-2033). This growth is fueled by several key factors. The rising adoption of cloud-based solutions offers scalability, cost-effectiveness, and enhanced accessibility for businesses of all sizes. Furthermore, the surge in video consumption across various platforms, including social media, e-commerce, and education, is significantly boosting market demand. The increasing need for robust video delivery infrastructure, coupled with the growing preference for personalized video experiences, further contributes to this market expansion. Competition is intense, with established players like Microsoft, AWS, and Twilio alongside specialized providers like Wistia, Mux, and Brightcove. The market is segmented by deployment type (cloud-based and on-premises) and target user (large enterprises and SMEs). While on-premises solutions still hold a segment, the cloud-based VPaaS is rapidly gaining traction due to its flexibility and affordability. The geographical distribution of the VPaaS market reveals a strong presence in North America, driven by early adoption and technological advancements. However, Asia Pacific is poised for rapid growth, spurred by the expanding digital landscape and increasing internet penetration in regions like India and China. Europe, with its established digital infrastructure and robust technological ecosystem, also holds significant market potential. While the exact CAGR is not provided, based on the current market size and the anticipated market dynamics outlined above, a conservative estimate would place it within a range consistent with high-growth technology sectors, perhaps between 15% and 20% annually. This growth is projected to continue through 2033, presenting considerable opportunities for both established and emerging players in the VPaaS landscape. The market, however, faces potential restraints such as concerns around data security and the need for specialized technical expertise for implementation and management.

Global Web Real-Time Communications is segmented by Application (IT, telecommunications, customer service, entertainment) , Type (Real-time video, audio streaming, browser-based communication, peer-to-peer networking, communication APIs) and Geography(North America, LATAM, West Europe, Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA)

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Music Streaming Market Size 2025-2029

The music streaming market size is forecast to increase by USD 53.49 billion, at a CAGR of 19% between 2024 and 2029.

The market is experiencing significant growth, driven primarily by the increasing preference for the consumption of music on demand. This shift is fueled by the convenience and accessibility that music streaming services offer, allowing users to access a vast library of songs at any time and from anywhere. Furthermore, the introduction of differentiated offerings, such as high-definition audio and personalized recommendations, is further enhancing the user experience and attracting new subscribers. Additionally, advancements in technology and the integration of artificial intelligence and machine learning are enhancing the user experience, making music streaming a popular choice for consumers globally. However, the market faces a notable challenge: the lack of ownership in music streaming. As users increasingly rely on streaming services for their music needs, the question of ownership and control over their music collections becomes increasingly relevant.
This issue may hinder the growth of the market, as some consumers may prefer the tangibility and ownership that traditional music formats provide. To capitalize on market opportunities and navigate these challenges effectively, companies must focus on delivering innovative solutions that address user needs while mitigating potential concerns around ownership and control.

What will be the Size of the Music Streaming Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market continues to evolve, with dynamic market dynamics shaping its landscape. Streaming platforms are increasingly integrating advanced features to enhance user experience (UX), such as playlist collaboration, wearable device integration, and A/B testing. Recommendation engines and music discovery algorithms cater to user engagement by suggesting personalized playlists based on listening history and preferences. Offline playback, high-resolution audio, and lossless audio are becoming standard offerings, while user interface (UI) designs prioritize ease of use and accessibility. Subscription revenue models dominate the market, with freemium options providing access to a vast music library. API integration enables third-party developers to create innovative applications, while voice control and podcast integration cater to diverse user needs.

Streaming platforms are investing in data analytics to understand user behavior and improve music discovery. Artist promotion and community features foster engagement and loyalty, while smart speaker integration and family sharing expand reach. Music licensing and copyright protection are crucial aspects, ensuring intellectual property rights and fair compensation for artists. Advertising revenue and music distribution are essential revenue streams, with content moderation and data security measures ensuring a safe and enjoyable user experience. Subscription models continue to evolve, offering flexibility and value to consumers. The market's ongoing dynamism underscores the importance of continuous innovation and adaptation to user needs and preferences.

How is this Music Streaming Industry segmented?

The music streaming industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Free
  Paid


End-user

  Individual users
  Commercial users


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Type Insights

The free segment is estimated to witness significant growth during the forecast period.

The market is experiencing significant advancements, with collaboration on playlists and integration with wearable devices becoming increasingly popular. A/B testing and user experience (UX) are prioritized to enhance user engagement. Recommendation engines and music discovery algorithms facilitate personalized listening experiences. Offline playback and high-resolution audio cater to user preferences, while subscription revenue models dominate the market. Subscription models offer various tiers, including lossless audio and family sharing. Streaming platforms leverage APIs for third-party integrations, enabling voice control and smart speaker compatibility. Podcast integration and live streaming expand content offerings. Data analytics and artist promotion are essential tools for music distribution and intellectual pro

This dataset is available on Brisbane City Council’s open data website – data.brisbane.qld.gov.au. The site provides additional features for viewing and interacting with the data and for downloading the data in various formats.

Rainfall and Stream Height gauges owned by Brisbane City Council. This dataset contains the details for the telemetry sensors.

Council installs and maintains telemetry gauges at various locations across Brisbane as part of its hydrometric network. These gauges form part of the Bureau of Meteorology Flood Warning Network. This Brisbane City Council gauge information (raw data) is passed onto the Bureau of Meteorology which they display on their public website via various interfaces.

The hydrometric gauges:

• collect real\-time information on water levels and rainfall
• provide information to trigger flood alerts and warnings
• provide information to trigger flooded road signage/flashing lights
• provide historic flood information for use in hydrology and hydraulic modelling.

The Data and resources section of this dataset contains further information for this dataset.