Overview   This dataset provides the measurements of raw water storage levels in reservoirs crucial for public water supply, The reservoirs included in this dataset are natural bodies of water that have been dammed to store untreated water.    Key Definitions   Aggregation  The process of summarizing or grouping data to obtain a single or reduced set of information, often for analysis or reporting purposes.    Capacity The maximum volume of water a reservoir can hold above the natural level of the surrounding land, with thresholds for regulation at 10,000 cubic meters in England, Wales and Northern Ireland and a modified threshold of 25,000 cubic meters in Scotland pending full implementation of the Reservoirs (Scotland) Act 2011. Current Level The present volume of water held in a reservoir measured above a set baseline crucial for safety and regulatory compliance. Current Percentage The current water volume in a reservoir as a percentage of its total capacity, indicating how full the reservoir is at any given time. Dataset  Structured and organized collection of related elements, often stored digitally, used for analysis and interpretation in various fields.   Granularity  Data granularity is a measure of the level of detail in a data structure. In time-series data, for example, the granularity of measurement might be based on intervals of years, months, weeks, days, or hours  ID  Abbreviation for Identification that refers to any means of verifying the unique identifier assigned to each asset for the purposes of tracking, management, and maintenance.   Open Data Triage  The process carried out by a Data Custodian to determine if there is any evidence of sensitivities associated with Data Assets, their associated Metadata and Software Scripts used to process Data Assets if they are used as Open Data.   Reservoir Large natural lake used for storing raw water intended for human consumption. Its volume is measurable, allowing for careful management and monitoring to meet demand for clean, safe water. Reservoir Type The classification of a reservoir based on the method of construction, the purpose it serves or the source of water it stores. Schema  Structure for organizing and handling data within a dataset, defining the attributes, their data types, and the relationships between different entities. It acts as a framework that ensures data integrity and consistency by specifying permissible data types and constraints for each attribute.   Units  Standard measurements used to quantify and compare different physical quantities.     Data History   Data Origin   Reservoir level data is sourced from water companies who may also update this information on their website and government publications such as the Water situation reports provided by the UK government. Data Triage Considerations  Identification of Critical Infrastructure Special attention is given to safeguard data on essential reservoirs in line with the National Infrastructure Act, to mitigate security risks and ensure resilience of public water systems. Currently, it is agreed that only reservoirs with a location already available in the public domain are included in this dataset. Commercial Risks and Anonymisation The risk of personal information exposure is minimal to none since the data concerns reservoir levels, which are not linked to individuals or households. Data Freshness It is not currently possible to make the dataset live. Some companies have digital monitoring, and some are measuring reservoir levels analogically. This dataset may not be used to determine reservoir level in place of visual checks where these are advised. Data Triage Review Frequency   Annually unless otherwise requested  Data Specifications  Data specifications define what is included and excluded in the dataset to maintain clarity and focus. For this dataset: Each dataset covers measurements taken by the publisher. This dataset is published periodically in line with the publisher’s capabilities Historical datasets may be provided for comparison but are not required The location data provided may be a point from anywhere within the body of water or on its boundary. Reservoirs included in the dataset must be: Open bodies of water used to store raw/untreated water Filled naturally Measurable Contain water that may go on to be used for public supply Context  This dataset must not be used to determine the implementation of low supply or high supply measures such as hose pipe bans being put in place or removed. Please await guidance from your water supplier regarding any changes required to your usage of water. Particularly high or low reservoir levels may be considered normal or as expected given the season or recent weather. This dataset does not remove the requirement for visual checks on reservoir level that are in place for caving/pot holing safety. Some water companies calculate the capacity of reservoirs differently than others. The capacity can mean the useable volume of the reservoir or the overall volume that can be held in the reservoir including water below the water table. Data Publish Frequency   Annually

The City of Toronto's Transportation Services Division collects short-term traffic count data across the City on an ad-hoc basis to support a variety of safety initiatives and projects. The data available in this repository are a full collection of Speed, Volume and Classification Counts conducted across the City since 1993. The two most common types of short-term traffic counts are Turning Movement Counts and Speed / Volume / Classification Counts. Turning Movement Count data, comprised of motor vehicle, bicycle and pedestrian movements through intersections, can be found here. Speed / Volume / Classification Counts are collected using pneumatic rubber tubes installed across the roadway. This dataset is a critical input into transportation safety initiatives, infrastructure design and program design such as speed limit changes, signal coordination studies, traffic calming and complete street designs. Each Speed / Volume / Classification Count is comprised of motor vehicle count data collected over a continuous 24-hour to 168-hour period (1-7 days), at a single location. A handful of non-standard 2-week counts are also included. Some key notes about these counts include: Not all counts have complete speed and classification data. These data are provided for locations and dates only where they exist. Raw data are recorded in 15-minute intervals. Raw data are recorded separately for each direction of traffic movement. Some data are only available for one direction, even if the street is two-way. Within each 15 minute interval, speed data are aggregated into approximately 5 km/h increments. Within each 15 minute interval, classification data are aggregated into vehicle type bins by the number of axles, according to the FWHA classification system attached below. The following files showing different views of the data are available: Data Dictionary (svc_data_dictionary.xlsx): Provides a detailed definition of every data field in all files. Summary Data (svc_summary_data): Provides metadata about every Speed / Volume / Classification Count available, including information about the count location and count date, as well as summary data about each count (total vehicle volumes, average daily volumes, a.m. and p.m. peak hour volumes, average / 85 percentile / 95 percentile speeds, where available, and heavy vehicle percentage, where available). Most Recent Count Data (svc_most_recent_summary_data): Provides metadata about the most recent Speed / Volume / Classification Count data available at each location for which a count exists, including information about the count location and count date, as well as the summary data provided in the “Summary Data” file (see above). Raw Data: Raw data is available in 15-minute intervals, and is distributed into one of three different file types based on the count type: volume-only, speed and volume, or classification and volume. If you’re looking for 15-minute data for a specific count, identify the count type and count date, then download the raw data file associated with the count type and period. If you’re looking for volume data for all count types, you will need to download and aggregate all three file types for a given period. Volume Raw Data (svc_raw_data_volume_yyyy_yyyy): These files—grouped by 5-10 year interval—provide volume data in 15-minute intervals, for each direction separately. You will find the raw data for volume-only counts (ATR_VOLUME) here. Speed and Volume Raw Data (svc_raw_data_speed_yyyy_yyyy): These files—grouped by 5-10 year interval—provide volume data aggregated into speed bins in approximately 5 km/h increments. Speed data are not available for all counts. You will find the raw data for speed and volume counts (ATR_SPEED_VOLUME) here. Classification and Volume Raw Data (svc_raw_data_classification_yyyy_yyyy): These files—grouped by 5-10 year interval—provide volume data aggregated into vehicle type bins by the number of axles, according to the FWHA classification system. Classification data are not available for all counts. You will find the raw data for classification and volume counts (VEHICLE_CLASS) here. FWHA Classification Reference (fwha_classification.png): Provides a reference for the FWHA classification system. This dataset references the City of Toronto's Street Centreline dataset, Intersection File dataset and Street Traffic Signal dataset.

Big Data and Society Abstract & Indexing - ResearchHelpDesk - Big Data & Society (BD&S) is open access, peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities and computing and their intersections with the arts and natural sciences about the implications of Big Data for societies. The Journal's key purpose is to provide a space for connecting debates about the emerging field of Big Data practices and how they are reconfiguring academic, social, industry, business, and government relations, expertise, methods, concepts, and knowledge. BD&S moves beyond usual notions of Big Data and treats it as an emerging field of practice that is not defined by but generative of (sometimes) novel data qualities such as high volume and granularity and complex analytics such as data linking and mining. It thus attends to digital content generated through online and offline practices in social, commercial, scientific, and government domains. This includes, for instance, the content generated on the Internet through social media and search engines but also that which is generated in closed networks (commercial or government transactions) and open networks such as digital archives, open government, and crowdsourced data. Critically, rather than settling on a definition the Journal makes this an object of interdisciplinary inquiries and debates explored through studies of a variety of topics and themes. BD&S seeks contributions that analyze Big Data practices and/or involve empirical engagements and experiments with innovative methods while also reflecting on the consequences for how societies are represented (epistemologies), realized (ontologies) and governed (politics). Article processing charge (APC) The article processing charge (APC) for this journal is currently 1500 USD. Authors who do not have funding for open access publishing can request a waiver from the publisher, SAGE, once their Original Research Article is accepted after peer review. For all other content (Commentaries, Editorials, Demos) and Original Research Articles commissioned by the Editor, the APC will be waived. Abstract & Indexing Clarivate Analytics: Social Sciences Citation Index (SSCI) Directory of Open Access Journals (DOAJ) Google Scholar Scopus

Forecast: Production Volumes of High (2-Digit Definition) R&D Intensive Activities in Italy 2024 - 2028 Discover more data with ReportLinker!

No Publication Abstract is Available

Real-Time Video Storage Market Outlook

The global real-time video storage market size is projected to reach approximately USD 45 billion by 2032, up from USD 15 billion in 2023, with a compound annual growth rate (CAGR) of 11.6% during the forecast period. This robust growth is fueled by the increasing demand for video content across various platforms and applications, coupled with advancements in storage technologies. The exponential increase in video data being generated for applications such as surveillance, broadcasting, and streaming is a major contributing factor to the market's expansion. Additionally, the proliferation of high-definition and 4K video content has necessitated the development of more efficient and scalable storage solutions.

One of the primary growth factors for the real-time video storage market is the surge in demand for video surveillance solutions. With increasing concerns about security and safety across the globe, governments and private sectors are investing heavily in surveillance systems. These systems require robust storage solutions that can handle large volumes of high-definition video data in real-time. The integration of artificial intelligence and analytics with video surveillance systems has further boosted the need for advanced storage solutions that can facilitate quick retrieval and processing of video data. Additionally, the adoption of smart city initiatives in many regions is driving the demand for comprehensive surveillance and storage systems.

Another crucial growth factor is the rise of online video streaming platforms. With the shift in consumer preferences towards on-demand video content, platforms like Netflix, Amazon Prime, and YouTube are witnessing unprecedented growth. These platforms require large-scale, efficient storage solutions to manage and deliver content seamlessly to millions of users worldwide. The increasing penetration of high-speed internet and mobile devices has further fueled the growth of online streaming services, thereby augmenting the demand for real-time video storage solutions. Furthermore, advancements in compression technologies are enabling more efficient storage and transmission of video data, driving the market forward.

The growing trend of remote work and the subsequent increase in video conferencing activities is another significant driver for the real-time video storage market. As businesses and educational institutions continue to adopt remote working and learning models, there is a heightened need for robust video conferencing solutions. These solutions rely on effective storage systems to ensure seamless communication and collaboration among users. The integration of features such as recording and transcription in video conferencing platforms has further increased the demand for storage solutions that can handle and store large volumes of video data efficiently.

In terms of regional outlook, North America dominates the real-time video storage market, accounting for a significant share of the global market. The region's technological advancements, coupled with high adoption rates of advanced storage solutions in sectors such as media and entertainment, government, and healthcare, drive its market position. Europe follows closely, with a substantial share, driven by increasing demand for video surveillance in public and private sectors. The Asia Pacific region is expected to exhibit the highest growth rate during the forecast period, owing to rapid urbanization, increasing internet penetration, and rising investments in digital infrastructure. Countries such as China, India, and Japan are expected to be at the forefront of this growth.

Component Analysis

In the real-time video storage market, the component segment is divided into hardware, software, and services, each playing a crucial role in the deployment and operation of video storage solutions. Hardware components form the backbone of any video storage solution, encompassing servers, storage arrays, and other physical infrastructure required to store and manage video data. The demand for high-capacity and high-performance storage hardware has risen significantly with the increasing volume of video content being generated for various applications. Innovations in high-density storage solutions, such as solid-state drives (SSDs), are transforming the hardware landscape by offering faster data access speeds and improved reliability compared to traditional hard disk drives (HDDs).

Software solutions are equally important in the real-time video storage market, providing the necessary tools for managing, optimizing, and se

Project Rio Blanco is the first phase of a three-phase program to demonstrate the potential of commercial development of I a natural-gas field by nuclear stimulation techniques in the Piceance Basin in Rio Blanco County~ Colorado. Because the gas is tightly held within the surrounding rock, this field cannot be developed by conventional stimulation methods. The first phase will consist of simultaneously detonating three nuclear explosives at different depths within the Fort Union and Mesaverde formations. The detonation is designed to stimulate a 1,350-foot vertical section of the Fort Union and Mesaverde formations. After a 3-month waiting period, a reentry well will be drilled into the gas-filled chimney, and the reservoir testing and evaluation will start.

Lal N., Woolley A., Waqavonovono E. 2016. Pacific Standard Classification of Occupations 2016: volume 1 - structure and group definitions. Noumea, New Caledonia: Pacific Community. 461 p.

European Production Volumes of High- and Medium-High (2-Digit Definition) R&D Intensive Activities by Country, 2023 Discover more data with ReportLinker!

Blu Ray Archive System Market Outlook

The global Blu Ray Archive System market size was estimated at USD 1.5 billion in 2023 and is expected to reach USD 2.7 billion by 2032, growing at a compound annual growth rate (CAGR) of 6.9%. Key growth factors driving this market include the increasing need for cost-effective and reliable data storage solutions, the rise in data generation across various industries, and the proliferation of high-definition media content.

One of the primary drivers of the Blu Ray Archive System market is the exponential increase in data generation. With the digital transformation sweeping across industries, the volume of data generated globally has surged, necessitating reliable and scalable storage solutions. Blu Ray technology provides a cost-effective and durable solution for long-term data storage, making it an attractive option for businesses that need to archive large volumes of data securely.

Another significant growth factor is the increasing demand for high-definition content. The media and entertainment industry, in particular, requires high-capacity storage solutions to archive high-definition videos, movies, and other media content. Blu Ray discs, with their high storage capacity and longevity, offer an ideal solution for this industry. Furthermore, the growing adoption of 4K and 8K resolution in video content has only heightened the need for efficient and high-capacity archiving solutions.

The healthcare industry is also contributing to the growth of the Blu Ray Archive System market. With the increasing adoption of electronic health records (EHRs) and medical imaging technologies, the volume of data generated by healthcare providers is growing rapidly. Blu Ray Archive Systems provide a secure and durable solution for storing medical records, imaging data, and other critical healthcare information, ensuring compliance with data retention regulations and safeguarding patient privacy.

Regionally, North America is expected to dominate the Blu Ray Archive System market due to the high adoption rate of advanced technologies and the presence of major market players. The Asia Pacific region is projected to exhibit the highest growth rate, driven by the rapid digitalization of industries and the increasing demand for data storage solutions in emerging economies such as China and India. Europe, Latin America, and the Middle East & Africa are also expected to witness significant growth, fueled by the rising awareness of data storage needs and technological advancements in these regions.

Component Analysis

The Blu Ray Archive System market is segmented into three key components: hardware, software, and services. Each of these segments plays a crucial role in the overall functionality and effectiveness of Blu Ray Archive Systems. The hardware segment primarily includes Blu Ray drives and discs, which are essential for data storage and retrieval. The increasing demand for high-capacity storage devices is driving the growth of this segment. Blu Ray drives have evolved to support larger storage capacities and faster data transfer rates, making them a preferred choice for archiving purposes.

The software segment encompasses the various applications and solutions used to manage, organize, and retrieve data stored on Blu Ray discs. This includes archiving software, data management tools, and retrieval applications. The growth of this segment is driven by the need for efficient and user-friendly software solutions that can handle large volumes of data and provide quick access to archived information. Advances in software technology have enhanced the capabilities of Blu Ray Archive Systems, making them more versatile and efficient.

The services segment includes installation, maintenance, and support services provided by companies specializing in Blu Ray Archive Systems. These services are crucial for ensuring the smooth operation and longevity of the systems. The increasing adoption of Blu Ray Archive Systems across various industries has led to a growing demand for professional services to support these systems. Service providers offer a range of solutions, including system integration, troubleshooting, and regular maintenance, to ensure optimal performance and minimize downtime.

Overall, the component analysis reveals that the Blu Ray Archive System market is a comprehensive ecosystem that relies on the seamless integration of hardware, software, and services. Each component is interdependent, and advancements in one area often drive improvements in the others

Phase I of the Pacific project covers design engineering of a single retort, 18,000 bbl per day shale oil plant. Volume II includes the following: (1) general which covers process description, drawing index, flow-diagrams, property, plant site and plot plan drawings, electrical single line diagrams, mechanical equipment layout drawings and tradeoff studies; (2) equipment data sheets and design specifications; (3) future design considerations; (4) engineering design calculations; and construction factors report.

The City of Toronto's Transportation Services Division collects short-term traffic count data across the City on an ad-hoc basis to support a variety of safety initiatives and projects. The data available in this repository are a full collection of Turning Movement Counts (TMC) conducted across the City since 1984. The two most common types of short-term traffic counts are Turning Movement Counts and Speed / Volume / Classification Counts. Speed / Volume / Classification Count data, comprised of vehicle speeds and volumes broken down by vehicle type, can be found here. Turning Movement Counts include the movements of motor vehicles, bicycles, and pedestrians through intersections. Counts are captured using video technology. Older counts were conducted manually by field staff. The City of Toronto uses this data to inform signal timing and infrastructure design. Each Turning Movement Count is comprised of data collected over 8 non-continuous hours (before September 2023) or over a continuous 14-hour period (September 2023 and after), at a single location. Some key notes about these counts include: Motor vehicle volumes are available for movements through the intersection (left-turn, right-turn and through-movement for each leg of the intersection). Motor vehicle volumes are further broken down by vehicle type (car, truck, bus). Total bicycle volumes approaching the intersection from each direction are available. Total pedestrian volumes crossing each leg of the intersection are available. Raw data are recorded and aggregated into 15-minute intervals. The following files showing different views of the data are available: Data Dictionary (tmc_data_dictionary.xlsx): Provides a detailed definition of every data field in all files. Summary Data (tmc_summary_data): Provides metadata about every TMC available, including information about the count location and count date, as well as summary data about each count (total 8- or 14-hour pedestrian volumes, total 8- or 14-hour vehicle and bicycle volumes for each approach to the intersection, percent of total that are heavy vehicles and a.m. and p.m. peak hour vehicle and bicycle volumes). Most Recent Count Data (tmc_most_recent_summary_data): Provides metadata about the most recent TMC available at each location for which a TMC exists, including information about the count location and count date, as well as the summary data provided in the “Summary Data” file (see above). Raw Data (tmc_raw_data_yyyy_yyyy): These files—grouped by 5-10 year interval—provide count volumes for cars, trucks, buses, cyclists and pedestrians in 15-minute intervals, for movements through the intersection, for every TMC available. Vehicle volumes are broken down by movement through the intersection (left-turn, right-turn and through-movement, for each approach), cyclist volumes are broken down by leg they enter the intersection and pedestrian volumes are broken down by the leg of the intersection they are counted crossing. This dataset references the City of Toronto's Street Centreline dataset, Intersection File dataset and Street Traffic Signal dataset.

Blu Ray Storage Libraries Market Outlook

The global Blu Ray Storage Libraries market size was valued at approximately $890 million in 2023 and is projected to reach around $1.35 billion by 2032, growing at a CAGR of 4.6% during the forecast period. This market growth is driven by the rising need for high-capacity, cost-effective, and reliable data storage solutions across multiple industries, including media and entertainment, healthcare, and education.

A significant growth factor for the Blu Ray Storage Libraries market is the escalating volume of data generated globally. With the advent of high-definition multimedia content, the need for durable and high-capacity storage solutions has surged. Blu Ray Discs, known for their longevity, stability, and substantial storage capacity, offer an attractive solution for preserving vast quantities of data. Additionally, the cost-effectiveness of Blu Ray Storage Libraries compared to other storage mediums makes it a preferred choice for long-term data archiving and backup.

Another crucial driver is the ever-growing demand for data security and regulatory compliance. Industries such as healthcare and government are bound by strict regulations regarding data preservation, protection, and retrieval. Blu Ray Storage Libraries provide a secure and tamper-proof medium for storing sensitive information, ensuring compliance with industry standards and minimizing the risk of data breaches. Furthermore, advancements in Blu Ray technology, such as increased storage capacity and enhanced data transfer rates, are continually improving the efficiency and reliability of these storage solutions.

The proliferation of cloud computing and digital transformation initiatives is also bolstering the market for Blu Ray Storage Libraries. Businesses are increasingly adopting hybrid storage solutions to balance the advantages of cloud storage with the security and control of on-premises solutions. Blu Ray Storage Libraries serve as an integral part of these hybrid infrastructures, offering a cost-effective and reliable option for archival storage. This trend is particularly pronounced in the media and entertainment sector, where there is a constant need for storing large volumes of high-definition content.

Regionally, North America is expected to remain the dominant market for Blu Ray Storage Libraries, driven by the high adoption rate of advanced storage solutions in sectors such as media and entertainment, healthcare, and IT and telecommunications. Europe and Asia Pacific are also witnessing significant growth, fueled by the increasing digitalization and data generation in these regions. Moreover, the rising investments in IT infrastructure and the growing awareness about data security are further propelling the market in these regions.

Product Type Analysis

The Blu Ray Storage Libraries market is segmented by product type into Standalone Blu Ray Storage Libraries and Networked Blu Ray Storage Libraries. Standalone Blu Ray Storage Libraries are designed for individual use and are typically employed in small to medium-sized enterprises (SMEs) or by end-users who require localized data storage solutions. These libraries offer ease of installation and operation, making them suitable for environments with limited IT infrastructure. The demand for Standalone Blu Ray Storage Libraries is driven by their cost-effectiveness and the growing need for reliable data storage in sectors such as education and healthcare.

Networked Blu Ray Storage Libraries, on the other hand, are designed for integration into larger networks and IT ecosystems. These libraries support multiple users and provide centralized data storage, making them ideal for large enterprises and organizations with extensive data storage requirements. The scalability and flexibility of Networked Blu Ray Storage Libraries make them a preferred choice for industries such as media and entertainment, and IT and telecommunications, where data access and sharing are critical. The market for Networked Blu Ray Storage Libraries is expected to grow significantly, driven by the increasing adoption of digital transformation initiatives and the need for high-capacity data storage solutions.

Technological advancements are continuously enhancing the capabilities of both Standalone and Networked Blu Ray Storage Libraries. Innovations such as increased storage capacities, faster data transfer rates, and improved durability are making these storage solutions more efficient and reliable. Additionally, the integration of advanced features such as automated data management a

Contents of Volume II are: (1) general which includes flow diagrams, plot plans and elevations, major alternatives and expansion considerations; (2) mine covering system description, mine design basis, preproduction development, mining operations, crushing screening and conveying, and mine production; (3) mine service; (40 raw shale fines and retorted shale disposal; (5) abandonment plan; (6) belt conveyors; (7) equipment list; (8) critical spare parts; (9) drawing list; (10) design and engineering calculations; and (11) vendors equipment data. 9 figs.

Discover our expertly curated language datasets in the LATAM Data Suite. Compiled and annotated by language and linguistic experts, this suite offers high-quality resources tailored to your needs. This suite includes:

• Monolingual and Bilingual Dictionary Data Featuring headwords, definitions, word senses, part-of-speech (POS) tags, and semantic metadata.

• Sentences Curated examples of real-world usage with contextual annotations.

• Synonyms & Antonyms Lexical relations to support semantic search, paraphrasing, and language understanding.

• Audio Data Native speaker recordings for TTS and pronunciation modeling.

• Word Lists Frequency-ranked and thematically grouped lists.

Learn more about the datasets included in the data suite:

1. Portuguese Monolingual Dictionary Data
2. Portuguese Bilingual Dictionary Data
3. Spanish Monolingual Dictionary Data
4. Spanish Bilingual Dictionary Data
5. Spanish Sentences Data
6. Spanish Synonyms and Antonyms Data
7. Spanish Audio Data
8. Spanish Word List Data
9. American English Monolingual Dictionary Data
10. American English Synonyms and Antonyms Data
11. American English Pronunciations with Audio

Key Features (approximate numbers):

1. Portuguese Monolingual Dictionary Data

Our Portuguese monolingual covers both European and Latin American varieties, featuring clear definitions and examples, a large volume of headwords, and comprehensive coverage of the Portuguese language.

• Headwords: 143,600
• Senses: 285,500
• Sentence examples: 69,300
• Format: XML format
• Delivery: Email (link-based file sharing)

1. Portuguese Bilingual Dictionary Data

The bilingual data provides translations in both directions, from English to Portuguese and from Portuguese to English. It is annually reviewed and updated by our in-house team of language experts. Offers comprehensive coverage of the language, providing a substantial volume of translated words of excellent quality that span both European and Latin American Portuguese varieties.

• Translations: 300,000
• Senses: 158,000
• Example sentences: 117,800
• Format: XML and JSON formats
• Delivery: Email (link-based file sharing) and REST API
• Updated frequency: annually

1. Spanish Monolingual Dictionary Data

Our Spanish monolingual reliably offers clear definitions and examples, a large volume of headwords, and comprehensive coverage of the Spanish language.

• Headwords: 73,000
• Senses: 123,000
• Sentence examples: 104,000
• Format: XML and JSON formats
• Delivery: Email (link-based file sharing) and REST API
• Updated frequency: annually

1. Spanish Bilingual Dictionary Data

The bilingual data provides translations in both directions, from English to Spanish and from Spanish to English. It is annually reviewed and updated by our in-house team of language experts. Offers significant coverage of the language, providing a large volume of translated words of excellent quality.

• Translations: 221,300
• Senses: 103,500
• Example sentences: 74,500
• Example translations: 83,800
• Format: XML and JSON formats
• Delivery: Email (link-based file sharing) and REST API
• Updated frequency: annually

1. Spanish Sentences Data

Spanish sentences retrieved from corpus are ideal for NLP model training, presenting approximately 20 million words. The sentences provide a great coverage of Spanish-speaking countries and are accordingly tagged to a particular country or dialect.

• Sentences volume: 1,840,000
• Format: XML and JSON formats
• Delivery: Email (link-based file sharing) and REST API

1. Spanish Synonyms and Antonyms Data

This Spanish language dataset offers a rich collection of synonyms and antonyms, accompanied by detailed definitions and part-of-speech (POS) annotations, making it a comprehensive resource for building linguistically aware AI systems and language technologies.

• Synonyms: 127,700
• Antonyms: 9,500
• Format: XML format
• Delivery: Email (link-based file sharing)
• Updated frequency: annually

1. Spanish Audio Data (word-level)

Curated word-level audio data for the Spanish language, which covers all varieties of world Spanish, providing rich dialectal diversity in the Spanish language.

• Audio files: 20,900
• Format: XLSX (for index), MP3 and WAV (audio files)

1. Spanish Word List Data

This language data contains a carefully curated and comprehensive list of 450,000 Spanish words.

• Wordforms: 450,000
• Format: CSV and TXT formats
• Delivery: Email (link-based file sharing)

1. American English Monolingual Dictionary Data

Our American English Monolingual Dictionary Data is the foremost authority on American English, including detailed tagging and labelling covering parts of speech (POS), grammar, region, register, and subject, providing rich linguistic information. Additionally, all grammar and usage information is present to ensure rel...

The data products consist of four (4) global layers that include estimates of

1) growing stock volume (GSV, unit: m3/ha) for the year 2010 (raster dataset)

Definition: volume of all living trees more than 10 cm in diameter at breast height measured over bark from ground or stump height to a top stem diameter of 0 cm. Excludes: smaller branches, twigs, foliage, flowers, seeds, stump and roots (definition of FAO). […]

The Measurable AI Amazon Consumer Transaction Dataset is a leading source of email receipts and consumer transaction data, offering data collected directly from users via Proprietary Consumer Apps, with millions of opt-in users.

We source our email receipt consumer data panel via two consumer apps which garner the express consent of our end-users (GDPR compliant). We then aggregate and anonymize all the transactional data to produce raw and aggregate datasets for our clients.

Use Cases Our clients leverage our datasets to produce actionable consumer insights such as: - Market share analysis - User behavioral traits (e.g. retention rates) - Average order values - Promotional strategies used by the key players. Several of our clients also use our datasets for forecasting and understanding industry trends better.

Coverage - Asia (Japan) - EMEA (Spain, United Arab Emirates) - Continental Europe - USA

Granular Data Itemized, high-definition data per transaction level with metrics such as - Order value - Items ordered - No. of orders per user - Delivery fee - Service fee - Promotions used - Geolocation data and more

Aggregate Data - Weekly/ monthly order volume - Revenue delivered in aggregate form, with historical data dating back to 2018. All the transactional e-receipts are sent from app to users’ registered accounts.

Most of our clients are fast-growing Tech Companies, Financial Institutions, Buyside Firms, Market Research Agencies, Consultancies and Academia.

Our dataset is GDPR compliant, contains no PII information and is aggregated & anonymized with user consent. Contact business@measurable.ai for a data dictionary and to find out our volume in each country.

Brazil Exports: HS6: Vol: Remelting Scrap Ingots of Iron or Steel (Excl Products Whose Chemical Composition Conforms To the Definitions of Pig Iron,Spiegeleisen,Or Ferro-Alloys) data was reported at 249,100.000 kg in Aug 2024. This records an increase from the previous number of 82,860.000 kg for Nov 2023. Brazil Exports: HS6: Vol: Remelting Scrap Ingots of Iron or Steel (Excl Products Whose Chemical Composition Conforms To the Definitions of Pig Iron,Spiegeleisen,Or Ferro-Alloys) data is updated monthly, averaging 82,860.000 kg from Nov 1997 (Median) to Aug 2024, with 15 observations. The data reached an all-time high of 852,490.000 kg in Oct 2023 and a record low of 1.000 kg in Jul 2010. Brazil Exports: HS6: Vol: Remelting Scrap Ingots of Iron or Steel (Excl Products Whose Chemical Composition Conforms To the Definitions of Pig Iron,Spiegeleisen,Or Ferro-Alloys) data remains active status in CEIC and is reported by Special Secretariat for Foreign Trade and International Affairs. The data is categorized under Brazil Premium Database’s Foreign Trade – Table BR.HS: 6 Digits: Section 15: Exports: Volume.

Forecast: Production Volumes of High (3-Digit Definition) R&D Intensive Activities in the US 2024 - 2028 Discover more data with ReportLinker!

Video Surveillance Data Storage Market Outlook

The global video surveillance data storage market size in 2023 is estimated to be around $XX billion and is projected to reach approximately $XX billion by 2032, growing at a compound annual growth rate (CAGR) of X%. The market's expansion is driven by the increasing demand for enhanced video surveillance systems across various sectors, including government, retail, and healthcare. The rapid technological advancements in data storage solutions, coupled with the escalating concerns regarding public safety and security, are propelling the market’s growth.

One of the key growth factors for the video surveillance data storage market is the rising need for high-resolution imaging and advanced video analytics. With the proliferation of high-definition (HD) and ultra-high-definition (UHD) cameras, the amount of data generated by video surveillance systems has surged. This necessitates the deployment of robust and scalable data storage solutions capable of handling large volumes of data efficiently. In addition, the implementation of advanced analytics such as facial recognition and license plate recognition requires substantial storage capacity to process and store the data effectively.

Another significant factor contributing to market growth is the increasing adoption of cloud-based storage solutions. Cloud storage offers numerous benefits, including scalability, cost-efficiency, and ease of access. Organizations are increasingly shifting towards cloud storage to manage the growing volumes of video data, as it provides a flexible and scalable infrastructure that can be adjusted according to the data requirements. Furthermore, cloud storage solutions facilitate seamless data access and sharing across different locations, enhancing the overall efficiency and effectiveness of video surveillance systems.

The integration of artificial intelligence (AI) and machine learning (ML) technologies in video surveillance systems is also a major driver for market growth. AI and ML algorithms enable real-time video analysis, predictive analytics, and automated event detection, which significantly improve the efficacy of surveillance operations. These technologies generate a vast amount of data that needs to be stored and analyzed, thereby driving the demand for advanced data storage solutions. Moreover, the growing trend of smart cities and IoT applications is further augmenting the need for efficient video surveillance data storage solutions.

From a regional perspective, North America holds a significant share in the video surveillance data storage market, driven by the high adoption rate of advanced surveillance technologies and stringent security regulations. The Asia Pacific region is expected to witness substantial growth over the forecast period, attributed to the increasing urbanization, infrastructure development, and rising security concerns in countries such as China and India. Europe is also a prominent market for video surveillance data storage, supported by the growing implementation of smart city projects and advancements in data storage technologies.

Storage Type Analysis

In the video surveillance data storage market, the storage type segment is categorized into Network Attached Storage (NAS), Direct Attached Storage (DAS), Storage Area Network (SAN), and Cloud Storage. Network Attached Storage (NAS) is a significant segment due to its high scalability and ease of access. NAS systems are designed to handle large volumes of data and provide seamless data sharing across different devices and networks, making them ideal for video surveillance applications. The increasing adoption of NAS solutions in small and medium enterprises (SMEs) and large enterprises is driving the growth of this segment.

Direct Attached Storage (DAS) is another critical segment in the market. DAS systems offer direct connectivity to the video surveillance system, providing high-speed data transfer and low latency. These systems are particularly beneficial for applications requiring real-time data access and high-performance storage solutions. The growing demand for high-resolution video surveillance, coupled with the need for efficient and reliable data storage, is fueling the adoption of DAS solutions.

Storage Area Network (SAN) is a prominent segment, especially in large enterprises and data centers. SAN solutions provide a high-speed network that connects storage devices with servers, enabling efficient data management and storage. The ability of SAN systems to handle massive data volumes and provide hi