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)

.WEBSITE Whois Database, discover comprehensive ownership details, registration dates, and more for .WEBSITE TLD with Whois Data Center.

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.

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.

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.

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.

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.

Comprehensive dataset of 393 Website designers in Province of Brescia, Italy 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.

PredictLeads Key Customers Data provides essential business intelligence by analyzing company relationships, uncovering vendor partnerships, client connections, and strategic affiliations through advanced web scraping and logo recognition. This dataset captures business interactions directly from company websites, offering valuable insights into market positioning, competitive landscapes, and growth opportunities.

Use Cases:

✅ Account Profiling – Gain a 360-degree customer view by mapping company relationships and partnerships. ✅ Competitive Intelligence – Track vendor-client connections and business affiliations to identify key industry players. ✅ B2B Lead Targeting – Prioritize leads based on their business relationships, improving sales and marketing efficiency. ✅ CRM Data Enrichment – Enhance company records with detailed key customer data, ensuring data accuracy. ✅ Market Research – Identify emerging trends and industry networks to optimize strategic planning.

Key API Attributes:

• id (string, UUID) – Unique identifier for the company connection.
• category (string) – Type of relationship (e.g., vendor, client, partner).
• source_category (string) – Where the connection was detected (e.g., partner page, case study).
• source_url (string, URL) – Website where the relationship was found.
• individual_source_url (string, URL) – Specific page confirming the connection.
• context (string) – Extracted description of the business relationship (e.g., "Company X - partners with Company Y to enhance payment processing").
• first_seen_at (ISO 8601 date-time) – Date the connection was first detected.
• last_seen_at (ISO 8601 date-time) – Most recent confirmation of the relationship.
• company1 & company2 (objects) – Details of the two connected companies, including:
• - domain (string) – Company website domain.
• - company_name (string) – Official company name.
• - ticker (string, nullable) – Stock ticker, if available.

📌 PredictLeads Key Customers Data is an indispensable tool for B2B sales, marketing, and market intelligence teams, providing actionable relationship insights to drive targeted outreach, competitor tracking, and strategic decision-making.

PredictLeads Docs: https://docs.predictleads.com/v3/guide/connections_dataset

The CBT database builds on an existing database which has been created in 2006 as a multi-country database and developed over the years by various Research Fellows at the Centre, and earlier at the Institute for Fiscal Studies. The original version uses various sources such as OECD Tax Database, IBFD (International Bureau of Fiscal Documentation), World Tax Database from the University of Michigan, KPMG and E&Y and covered mainly OECD countries. The data currently in the database comes from various sources, mainly from: • The Worldwide Corporate Tax Guide published by E&Y; years available: 2002-2017 • data for 2011 - 2017 comes mainly from the online IBFD Tax Research Platform where they provide very detailed Country Surveys • G20 countries data has been updated to be consistent with IBFD "Global corporate tax handbook" (years 2007 - 2010) and "European tax handbook" (years 1990 - 2010) • ZEW Intermediate Report 2011, “Effective Tax levels using Devereux/Griffith methodology” • Deloitte Tax Highlights and International Tax and Business Guide; years available: 2009, 2010 • KPMG Tax Rate Survey; years available: 1998 - 2009 • PKF Worldwide Tax Guide; years available: 2007 - 2009

Comprehensive dataset of 4,732 Website designers in State of São Paulo, Brazil 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.

SFLD (Structure-Function Linkage Database) is a hierarchical classification of enzymes that relates specific sequence-structure features to specific chemical capabilities.

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:

• Worker Characteristics (e.g., Abilities, Interests, Work Styles)
• Worker Requirements (e.g., Education, Knowledge, Skills)
• Experience Requirements (e.g., On-the-Job Training, Work Experience)
• Occupational Requirements (e.g., Detailed Work Activities, Work Context)
• Occupation-Specific Information (e.g., Job Titles, Tasks, Technology Skills)

1. Website usage instructions2. Website usage case instructions3. Website unit introduction

Comprehensive dataset of 2 Website designers in Magadan Oblast, Russia as of August, 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.

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

Website Monitoring Services Market Outlook

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.

Component Analysis

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

NCBIfam is a collection of protein families, featuring curated multiple sequence alignments, hidden Markov models (HMMs) and annotation, which provides a tool for identifying functionally related proteins based on sequence homology. NCBIfam is maintained at the National Center for Biotechnology Information (Bethesda, MD). NCBIfam includes models from TIGRFAMs, another database of protein families developed at The Institute for Genomic Research, then at the J. Craig Venter Institute (Rockville, MD, US).

Pupil Identity Data and School Enrolment Data for all post-primary school learners

FishSounds presents a compilation of acoustic recordings and published information on sound production across all extant fish species globally. We hope this information can be used to advance research into fish behavior, passive acoustic monitoring, and human impacts on underwater soundscapes as well as serve as a public resource for anyone interested in learning more about fish sounds. This work is the product of an international collaboration between researchers and developers from five organizations. We have taken a cross-disciplinary approach, combining expertise in fish ecology, bioacoustics, and data management to produce a website that we hope will serve the wider marine research community. This Dataverse dataset serves as a permanent repository for all versions of the FishSounds website and associated publications and products. Please see the latest version for the most detailed methodology and data, though the other versions are available for reference. All of the data provided here may be more easily viewed and searched at FishSounds.net. We will be continuing to update and add to FishSounds.net and this repository, so if you would like to suggest an edit or contribute a reference or associated fish sound recording, please contact us at fishsoundscontact@gmail.com.