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The online database market is projected to witness significant growth, with a market size of XXX million in 2025 and a CAGR of XX% during the forecast period from 2025 to 2033. This growth is attributed to increasing adoption of cloud computing, growing demand for data analytics, and government initiatives to promote digitalization. Cloud-based databases offer scalability, cost-effectiveness, and ease of deployment, making them attractive for businesses of all sizes. Data analytics is essential for businesses to gain insights from their data and make informed decisions. Online databases provide a centralized platform for data storage and management, facilitating efficient data analysis. Governments across the globe are implementing policies to promote digitalization, driving the adoption of online databases in various sectors, including government, healthcare, and education. Key trends shaping the market include the rise of big data, the adoption of artificial intelligence (AI) and machine learning (ML), and the increasing importance of data security. Big data refers to the exponential growth of data volume, velocity, and variety. Online databases provide the infrastructure to handle and process vast amounts of data. AI and ML algorithms leverage online databases to learn from data and make predictions, driving innovation in various industries. Data security is of utmost importance given the growing threat of cyberattacks. Online databases implement robust security measures to protect sensitive data, ensuring compliance and building trust among users.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The O*NET Database contains hundreds of standardized and occupation-specific descriptors on almost 1,000 occupations covering the entire U.S. economy. The database, which is available to the public at no cost, is continually updated by a multi-method data collection program. Sources of data include: job incumbents, occupational experts, occupational analysts, employer job postings, and customer/professional association input.
Data content areas include:
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset covers all relevant information on every Afrotropical moth species. The zoogeographic area covered can be defined as the Africa continent south of the Sahara (i.e. excl. Morocco, Algeria, Tunisia, Libya and Egypt), the islands in the Atlantic Ocean: Amsterdam Island, Ascension, Cape Verde Archipelago, Inaccessible Island, St. Helena, São Tomé and Principe, Tristan da Cunha, and the islands in the Indian Ocean: Comores (Anjouan, Grande Comore, Mayotte, Mohéli), Madagascar, Mascarene Islands (La Réunion, Mauritius, Rodrigues), Seychelles (Félicité, Mahé, Praslin, Silhouette, a.o.). Furthermore, also those moth species occurring in the transition zone to the Palaearctic fauna have been included, namely most of the Arabia Peninsula (Kuwait, Oman, Saudi Arabia, United Arab Emirates, Yemen with Socotra) but not Iraq, Jordan and further north. Also, some Saharan species have been included (e. g. Hoggar Mts. in Algeria, Tibesti Mts. in South Libya). Utmost care was taken that the data incorporated in the database are correct. We decline any responsibility in case of damage to soft- or hardware based on information used in this website. Persons retrieving information from this website for their own research or for applied aspects such as pest control programmes, should acknowledge the usage of data from this website in the following format: De Prins, J. & De Prins, W. 2011. Afromoths, online database of Afrotropical moth species (Lepidoptera). World Wide Web electronic publication (www.afromoths.net)
Comprehensive dataset of 540 Website designers in Louisiana, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
SMART (a Simple Modular Architecture Research Tool) allows the identification and annotation of genetically mobile domains and the analysis of domain architectures. SMART is based at EMBL, Heidelberg, Germany.
https://www.nist.gov/open/copyright-fair-use-and-licensing-statements-srd-data-software-and-technical-series-publications#SRDhttps://www.nist.gov/open/copyright-fair-use-and-licensing-statements-srd-data-software-and-technical-series-publications#SRD
The NIST Chemistry WebBook provides users with easy access to chemical and physical property data for chemical species through the internet. The data provided in the site are from collections maintained by the NIST Standard Reference Data Program and outside contributors. Data in the WebBook system are organized by chemical species. The WebBook system allows users to search for chemical species by various means. Once the desired species has been identified, the system will display data for the species. Data include thermochemical properties of species and reactions, thermophysical properties of species, and optical, electronic and mass spectra.
Product provided by Wappalyzer. Instant access to website technology stacks.
Lookup API Perform near-instant technology lookups with the Lookup API. Results are fetched from our comprehensive database of millions of websites. If we haven't seen a domain before, we'll index it immediately and report back within minutes.
NOTE: To review the latest plan, make sure to filter the "Report Year" column to the latest year.
Data on public websites maintained by or on behalf of the city agencies.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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The data extract is a series of compressed ASCII text files of the full data set contained in the Canada Vigilance Adverse Reaction Online Database. It is intended for users who are familiar with database structures and setting up their own queries. Find details on the data structure required for the data file in the Canada Vigilance Adverse Reaction Online Database - Data Structure. In order to use the data, the file must be loaded into an existing database or information system provided by the user. The Canada Vigilance Adverse Reaction Online Database contains information about suspected adverse reactions (also known as side effects) to health products, captured from adverse reaction reports submitted to Health Canada by consumers and health professionals, who submit reports voluntarily, as well as by market authorization holders (manufacturers and distributors), who are required to submit reports according to the Food and Drugs Regulations. Information concerning vaccines used for immunization have only been included in the database since January 1, 2011. Indication data has recently been added to the data extract files and the Detailed Adverse Reaction Report. Indication refers to the particular condition for which a health product was taken. For example, diabetes is an indication for insulin. Health products are often authorised for use in treating more than one indication. Note: The database cannot be used on its own to evaluate a health product's safety profile. It does not provide conclusive information on the safety of health products, and is not a substitute for medical advice. Should you have an issue of medical concern, consult a qualified health professional.
Comprehensive dataset of 183 Website designers in Toledo, Spain as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
Comprehensive dataset of 33 Website designers in Ávila, Spain as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
Database of information regarding genome and metagenome sequencing projects, and their associated metadata, around the world. It also provides information related to organism properties such as phenotype, ecotype and disease. Both complete and ongoing projects, along with their associated metadata, can be accessed. Users can also register, annotate and publish genome and metagenome data.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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This Website Statistics dataset has four resources showing usage of the Lincolnshire Open Data website. Web analytics terms used in each resource are defined in their accompanying Metadata file.
Website Usage Statistics: This document shows a statistical summary of usage of the Lincolnshire Open Data site for the latest calendar year.
Website Statistics Summary: This dataset shows a website statistics summary for the Lincolnshire Open Data site for the latest calendar year.
Webpage Statistics: This dataset shows statistics for individual Webpages on the Lincolnshire Open Data site by calendar year.
Dataset Statistics: This dataset shows cumulative totals for Datasets on the Lincolnshire Open Data site that have also been published on the national Open Data site Data.Gov.UK - see the Source link.
Note: Website and Webpage statistics (the first three resources above) show only UK users, and exclude API calls (automated requests for datasets). The Dataset Statistics are confined to users with javascript enabled, which excludes web crawlers and API calls.
These Website Statistics resources are updated annually in January by the Lincolnshire County Council Business Intelligence team. For any enquiries about the information contact opendata@lincolnshire.gov.uk.
Business Software Alliance is a trade association that represents the world's leading software companies, including Autodesk, IBM, and Symantec. The organization's members are committed to promoting the use of legitimate software and ensuring the integrity of their intellectual property.
As a result, the data housed on BSA's website is rich in information related to the software industry, including software licensing, anti-piracy efforts, and digital piracy statistics. The data includes information on software usage, software development, and the impact of piracy on the technology industry. With its focus on promoting legitimate software use, the data on BSA's website provides valuable insights into the global software industry.
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The global website monitoring services market size was valued at approximately $2.6 billion in 2023 and is projected to grow to a staggering $7.9 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 12.8% during the forecast period. This notable growth is primarily driven by the increasing digitalization across industries, a surge in e-commerce activities, and the critical necessity for maintaining an uninterrupted online presence. With the proliferation of cyber threats and the rising importance of user experience, businesses are increasingly investing in website monitoring services to ensure their websites remain functional, secure, and user-friendly.
A significant growth factor for the website monitoring services market is the rising emphasis on customer satisfaction and retention. In an era where consumers have become progressively demanding and less tolerant of poor website performance, businesses are compelled to ensure their websites operate seamlessly without downtime. Website monitoring services provide real-time data on website performance, enabling quick detection and resolution of issues before they impact the end-users. This capability has become essential for organizations to maintain a competitive edge, especially in sectors like e-commerce and online services, where the user experience directly correlates with business outcomes.
Another critical factor contributing to market growth is the rapid expansion of cloud-based solutions. Cloud deployment offers scalability, flexibility, and cost-effectiveness, which are highly attractive to businesses of all sizes. Cloud-based website monitoring services facilitate easy integration, remote access, and broad functionality, making them a preferred choice over traditional on-premises solutions. Moreover, the ability to scale resources according to demand without significant capital investment is a crucial advantage that fuels the adoption of cloud-based website monitoring services, thus driving market growth.
The increasing incidence of cyber threats and data breaches is also propelling the demand for website monitoring services. With businesses storing and processing significant volumes of sensitive data online, ensuring robust security has become paramount. Website monitoring services with security monitoring capabilities help organizations identify vulnerabilities, detect unauthorized access, and prevent potential cyber-attacks. This aspect not only protects the business from financial and reputational damage but also ensures compliance with stringent data protection regulations, further driving the market's expansion.
As the digital landscape continues to evolve, businesses are increasingly recognizing the importance of Database Performance Monitoring Services. These services are crucial for ensuring that databases operate efficiently, minimizing downtime and optimizing performance. With the growing reliance on data-driven decision-making, organizations need to ensure that their databases are not only secure but also capable of handling large volumes of transactions smoothly. Database Performance Monitoring Services provide real-time insights into database health, enabling businesses to proactively address potential issues and maintain seamless operations. This capability is particularly vital for sectors such as e-commerce and finance, where database performance directly impacts user experience and business outcomes.
Regionally, North America currently holds a prominent position in the website monitoring services market, driven by the presence of numerous global tech giants and a highly developed IT infrastructure. Europe follows closely, with significant investments in digital transformation and cybersecurity initiatives. The Asia Pacific region is anticipated to witness the fastest growth during the forecast period, supported by the rapid digitization of businesses and the burgeoning e-commerce sector. Emerging economies in Latin America and the Middle East & Africa are also increasingly adopting website monitoring services, albeit at a slower pace, as they gradually modernize their IT infrastructure and online services.
The website monitoring services market can be dissected into two primary components: software and services. The software segment comprises various monitoring tools that offer functionalities such as performance metrics, downtime alerts, and security analyse
The National Conservation Easement Database (NCED) is the first national database of conservation easement information, compiling records from land trusts and public agencies throughout the United States. This public-private partnership brings together national conservation groups, local and regional land trusts, and local, state and federal agencies around a common objective. This effort helps agencies, land trusts, and other organizations plan more strategically, identify opportunities for collaboration, advance public accountability, and raise the profile of what’s happening on-the-ground in the name of conservation.For an introductory tour of the NCED and its benefits check out the story map.
https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/
.WEBSITE Whois Database, discover comprehensive ownership details, registration dates, and more for .WEBSITE TLD with Whois Data Center.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
CottonGen (https://www.cottongen.org) is a curated and integrated web-based relational database providing access to publicly available genomic, genetic and breeding data to enable basic, translational and applied research in cotton. Built using the open-source Tripal database infrastructure, CottonGen supersedes CottonDB and the Cotton Marker Database, which includes sequences, genetic and physical maps, genotypic and phenotypic markers and polymorphisms, quantitative trait loci (QTLs), pathogens, germplasm collections and trait evaluations, pedigrees, and relevant bibliographic citations, with enhanced tools for easier data sharing, mining, visualization, and data retrieval of cotton research data. CottonGen contains annotated whole genome sequences, unigenes from expressed sequence tags (ESTs), markers, trait loci, genetic maps, genes, taxonomy, germplasm, publications and communication resources for the cotton community. Annotated whole genome sequences of Gossypium raimondii are available with aligned genetic markers and transcripts. These whole genome data can be accessed through genome pages, search tools and GBrowse, a popular genome browser. Most of the published cotton genetic maps can be viewed and compared using CMap, a comparative map viewer, and are searchable via map search tools. Search tools also exist for markers, quantitative trait loci (QTLs), germplasm, publications and trait evaluation data. CottonGen also provides online analysis tools such as NCBI BLAST and Batch BLAST. This project is funded/supported by Cotton Incorporated, the USDA-ARS Crop Germplasm Research Unit at College Station, TX, the Southern Association of Agricultural Experiment Station Directors, Bayer CropScience, Corteva/Agriscience, Dow/Phytogen, Monsanto, Washington State University, and NRSP10. Resources in this dataset:Resource Title: Website Pointer for CottonGen. File Name: Web Page, url: https://www.cottongen.org/ Genomic, Genetic and Breeding Resources for Cotton Research Discovery and Crop Improvement organized by :
Species (Gossypium arboreum, barbadense, herbaceum, hirsutum, raimondii, others), Data (Contributors, Download, Submission, Community Projects, Archives, Cotton Trait Ontology, Nomenclatures, and links to Variety Testing Data and NCBISRA Datasets), Search options (Colleague, Genes and Transcripts, Genotype, Germplasm, Map, Markers, Publications, QTLs, Sequences, Trait Evaluation, MegaSearch), Tools (BIMS, BLAST+, CottonCyc, JBrowse, Map Viewer, Primer3, Sequence Retrieval, Synteny Viewer), International Cotton Genome Initiative (ICGI), and Help sources (User manual, FAQs).
Also provides Quick Start links for Major Species and Tools.
This data about nola.gov provides a window into how people are interacting with the the City of New Orleans online. The data comes from a unified Google Analytics account for New Orleans. We do not track individuals and we anonymize the IP addresses of all visitors.
https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/
This group includes the provision of infrastructure for hosting, data processing services and related activities, as well as search facilities and other portals for the Internet.
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The online database market is projected to witness significant growth, with a market size of XXX million in 2025 and a CAGR of XX% during the forecast period from 2025 to 2033. This growth is attributed to increasing adoption of cloud computing, growing demand for data analytics, and government initiatives to promote digitalization. Cloud-based databases offer scalability, cost-effectiveness, and ease of deployment, making them attractive for businesses of all sizes. Data analytics is essential for businesses to gain insights from their data and make informed decisions. Online databases provide a centralized platform for data storage and management, facilitating efficient data analysis. Governments across the globe are implementing policies to promote digitalization, driving the adoption of online databases in various sectors, including government, healthcare, and education. Key trends shaping the market include the rise of big data, the adoption of artificial intelligence (AI) and machine learning (ML), and the increasing importance of data security. Big data refers to the exponential growth of data volume, velocity, and variety. Online databases provide the infrastructure to handle and process vast amounts of data. AI and ML algorithms leverage online databases to learn from data and make predictions, driving innovation in various industries. Data security is of utmost importance given the growing threat of cyberattacks. Online databases implement robust security measures to protect sensitive data, ensuring compliance and building trust among users.