Introducing a comprehensive and openly accessible dataset designed for researchers and data scientists in the field of artificial intelligence. This dataset encompasses a collection of over 4,000 AI tools, meticulously categorized into more than 50 distinct categories. This valuable resource has been generously shared by its owner, TasticAI, and is freely available for various purposes such as research, benchmarking, market surveys, and more. Dataset Overview: The dataset provides an extensive repository of AI tools, each accompanied by a wealth of information to facilitate your research endeavors. Here is a brief overview of the key components: AI Tool Name: Each AI tool is listed with its name, providing an easy reference point for users to identify specific tools within the dataset. Description: A concise one-line description is provided for each AI tool. This description offers a quick glimpse into the tool's purpose and functionality. AI Tool Category: The dataset is thoughtfully organized into more than 50 distinct categories, ensuring that you can easily locate AI tools that align with your research interests or project needs. Whether you are working on natural language processing, computer vision, machine learning, or other AI subfields, you will find a dedicated category. Images: Visual representation is crucial for understanding and identifying AI tools. To aid your exploration, the dataset includes images associated with each tool, allowing for quick recognition and visual association. Website Links: Accessing more detailed information about a specific AI tool is effortless, as direct links to the tool's respective website or documentation are provided. This feature enables researchers and data scientists to delve deeper into the tools that pique their interest. Utilization and Benefits: This openly shared dataset serves as a valuable resource for various purposes: Research: Researchers can use this dataset to identify AI tools relevant to their studies, facilitating faster literature reviews, comparative analyses, and the exploration of cutting-edge technologies. Benchmarking: The extensive collection of AI tools allows for comprehensive benchmarking, enabling you to evaluate and compare tools within specific categories or across categories. Market Surveys: Data scientists and market analysts can utilize this dataset to gain insights into the AI tool landscape, helping them identify emerging trends and opportunities within the AI market. Educational Purposes: Educators and students can leverage this dataset for teaching and learning about AI tools, their applications, and the categorization of AI technologies. Conclusion: In summary, this openly shared dataset from TasticAI, featuring over 4,000 AI tools categorized into more than 50 categories, represents a valuable asset for researchers, data scientists, and anyone interested in the field of artificial intelligence. Its easy accessibility, detailed information, and versatile applications make it an indispensable resource for advancing AI research, benchmarking, market analysis, and more. Explore the dataset at https://tasticai.com and unlock the potential of this rich collection of AI tools for your projects and studies.

AI Tools Directory Sites

This dataset contains a curated list of websites dedicated to discovering, categorizing, and showcasing AI tools. Each entry includes the name, description, and official URL of the directory.

  Overview

AI tools directories help users explore a wide range of AI applications across different fields such as productivity, creativity, development, and more.

  Included Directories

FindMyAITool.io
Futurepedia
Toolify
AITopTools
Top AI… See the full description on the dataset page: https://huggingface.co/datasets/FindMyAITool-io/ai-tools-directory-sites.

Forensic Toolkit Dataset Overview The Forensic Toolkit Dataset is a comprehensive collection of 300 digital forensics and incident response (DFIR) tools, designed for training AI models, supporting forensic investigations, and enhancing cybersecurity workflows. The dataset includes both mainstream and unconventional tools, covering disk imaging, memory analysis, network forensics, mobile forensics, cloud forensics, blockchain analysis, and AI-driven forensic techniques. Each entry provides detailed information about the tool's name, commands, usage, description, supported platforms, and official links, making it a valuable resource for forensic analysts, data scientists, and machine learning engineers. Dataset Description The dataset is provided in JSON Lines (JSONL) format, with each line representing a single tool as a JSON object. It is optimized for AI training, data analysis, and integration into forensic workflows. Schema Each entry contains the following fields:

id: Sequential integer identifier (1–300).
tool_name: Name of the forensic tool.
commands: List of primary commands or usage syntax (if applicable; GUI-based tools noted).
usage: Brief description of how the tool is used in forensic or incident response tasks.
description: Detailed explanation of the tool’s purpose, capabilities, and forensic applications.
link: URL to the tool’s official website or documentation (verified as of May 26, 2025).
system: List of supported platforms (e.g., Linux, Windows, macOS, Android, iOS, Cloud).

Sample Entry
{
 "id": 1,
 "tool_name": "The Sleuth Kit (TSK)",
 "commands": ["fls -r -m / image.dd > bodyfile", "ils -e image.dd", "icat image.dd 12345 > output.file", "istat image.dd 12345"],
 "usage": "Analyze disk images to recover files, list file metadata, and create timelines.",
 "description": "Open-source collection of command-line tools for analyzing disk images and file systems (NTFS, FAT, ext). Enables recovery of deleted files, metadata examination, and timeline generation.",
 "link": "https://www.sleuthkit.org/sleuthkit/",
 "system": ["Linux", "Windows", "macOS"]
}

Dataset Structure

Total Entries: 300

Content Focus: Mainstream tools (e.g., The Sleuth Kit, FTK Imager). Unconventional tools (e.g., IoTSeeker, Chainalysis Reactor, DeepCase). Specialized areas: IoT, blockchain, cloud, mobile, and AI-driven forensics.

Purpose The dataset is designed for:

AI Training: Fine-tuning machine learning models for forensic tool recommendation, command generation, or artifact analysis. Forensic Analysis: Reference for forensic analysts to identify tools for specific investigative tasks. Cybersecurity Research: Supporting incident response, threat hunting, and vulnerability analysis. Education: Providing a structured resource for learning about DFIR tools and their applications.

Usage Accessing the Dataset

Download the JSONL files from the repository. Each file can be parsed using standard JSONL libraries (e.g., jsonlines in Python, jq in Linux). Combine files for a complete dataset or use individual segments as needed. ```python

Example: Parsing with Python import json

with open('forensic_toolkit_dataset_1_50.jsonl', 'r') as file: for line in file: tool = json.loads(line) print(f"Tool: {tool['tool_name']}, Supported Systems: {tool['system']}")

Applications

AI Model Training: Use the dataset to train models for predicting tool usage based on forensic tasks or generating command sequences.
Forensic Workflows: Query the dataset to select tools for specific platforms (e.g., Cloud, Android) or tasks (e.g., memory analysis).
Data Analysis: Analyze tool distribution across platforms or forensic categories using data science tools (e.g., Pandas, R).

Contribution Guidelines
We welcome contributions to expand or refine the dataset. To contribute:

Fork the repository.
Add new tools or update existing entries in JSONL format, ensuring adherence to the schema.
Verify links and platform compatibility as of the contribution date.
Submit a pull request with a clear description of changes.
Avoid duplicating tools from existing entries (check IDs 1–300).

Contribution Notes

Ensure tools are forensically sound (preserve evidence integrity, court-admissible where applicable).
Include unconventional or niche tools to maintain dataset diversity.
Validate links and commands against official documentation.

License
This dataset is licensed under the MIT License. See the LICENSE file for details.
Acknowledgments

Inspired by forensic toolkits and resources from ForensicArtifacts.com, SANS, and open-source communities.
Thanks to contributors for identifying unique and unconventional DFIR tools.

Contact
For issues, suggestions, or inquiries, please open an issue on the repository or contact the maintainers at sunny48445@gmail.com.

Unlock the full potential of LinkedIn data with our extensive dataset that combines profiles, company information, and job listings into one powerful resource for business decision-making, strategic hiring, competitive analysis, and market trend insights. This all-encompassing dataset is ideal for professionals, recruiters, analysts, and marketers aiming to enhance their strategies and operations across various business functions. Dataset Features

Profiles: Dive into detailed public profiles featuring names, titles, positions, experience, education, skills, and more. Utilize this data for talent sourcing, lead generation, and investment signaling, with a refresh rate ensuring up to 30 million records per month. Companies: Access comprehensive company data including ID, country, industry, size, number of followers, website details, subsidiaries, and posts. Tailored subsets by industry or region provide invaluable insights for CRM enrichment, competitive intelligence, and understanding the startup ecosystem, updated monthly with up to 40 million records. Job Listings: Explore current job opportunities detailed with job titles, company names, locations, and employment specifics such as seniority levels and employment functions. This dataset includes direct application links and real-time application numbers, serving as a crucial tool for job seekers and analysts looking to understand industry trends and the job market dynamics.

Customizable Subsets for Specific Needs Our LinkedIn dataset offers the flexibility to tailor the dataset according to your specific business requirements. Whether you need comprehensive insights across all data points or are focused on specific segments like job listings, company profiles, or individual professional details, we can customize the dataset to match your needs. This modular approach ensures that you get only the data that is most relevant to your objectives, maximizing efficiency and relevance in your strategic applications. Popular Use Cases

Strategic Hiring and Recruiting: Track talent movement, identify growth opportunities, and enhance your recruiting efforts with targeted data. Market Analysis and Competitive Intelligence: Gain a competitive edge by analyzing company growth, industry trends, and strategic opportunities. Lead Generation and CRM Enrichment: Enrich your database with up-to-date company and professional data for targeted marketing and sales strategies. Job Market Insights and Trends: Leverage detailed job listings for a nuanced understanding of employment trends and opportunities, facilitating effective job matching and market analysis. AI-Driven Predictive Analytics: Utilize AI algorithms to analyze large datasets for predicting industry shifts, optimizing business operations, and enhancing decision-making processes based on actionable data insights.

Whether you are mapping out competitive landscapes, sourcing new talent, or analyzing job market trends, our LinkedIn dataset provides the tools you need to succeed. Customize your access to fit specific needs, ensuring that you have the most relevant and timely data at your fingertips.

The COVID-19 literature has grown in much the same way as the disease’s transmission: exponentially. The NIH’s COVID-19 Portfolio, a website that tracks papers related to the SARS-CoV-2 coronavirus and the disease it causes, lists more than 28,000 articles — far too many for any researcher to read (See ‘Explosive Growth’; code and data at https://github.com/jperkel/covidlit). But a fast-growing set of artificial-intelligence (AI) tools might help researchers and clinicians to quickly sift through the literature.

With the SFTool API, you can access a myriad of high performance building information. Pull the most up to date information about green products, services, and materials. Put sustainable strategies in the hands of your audience today. All of our API methods are HTTP GET and always return the latest data. Whether you’re looking to add sustainable building information to your website or blog, or looking for data to build an application, the SFTool API is here for you.Making API calls is very straightforward. There is a single base URI for each data category. By default, it will return all of the data for that category. By using any of our optional parameters, you can filter the data as you see fit. Signup for free to get the SFTool API key at https://api.data.gov/signup/.

The AI SEO software tools market is experiencing robust growth, driven by the increasing need for businesses to optimize their online presence and improve search engine rankings. The market, estimated at $2 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 25% from 2025 to 2033, reaching approximately $10 billion by 2033. This expansion is fueled by several key factors, including the rising adoption of artificial intelligence in digital marketing, the growing complexity of SEO algorithms, and the increasing demand for data-driven insights to enhance website performance. Businesses are increasingly relying on AI-powered tools to automate tedious tasks, analyze large datasets, and identify optimization opportunities that would be difficult or impossible to achieve manually. The trend towards personalized user experiences also contributes significantly to the market's growth, as AI tools can help tailor content and website strategies to individual user preferences. Several key segments are driving this growth. The demand for keyword research tools, content optimization platforms, and technical SEO solutions is exceptionally high. The competitive landscape is vibrant, with a mix of established players like BrightEdge and newer entrants like Surfer SEO and Frase vying for market share. The market is also witnessing continuous innovation, with new features and functionalities being added regularly. However, the market faces some restraints, including the high cost of implementation for some AI SEO tools, the need for specialized skills and expertise to effectively utilize these technologies, and concerns about data privacy and security. Nevertheless, the overwhelming benefits in efficiency, improved rankings, and data-driven decision-making are expected to outweigh these challenges, further accelerating market growth in the coming years.

Information Technology Operations and Maintenance records relate to the activities associated with the operations and maintenance of the basic systems and services used to supply the agency and its staff with access to computers and data telecommunications. Includes the activities associated with IT equipment, IT systems, and storage media, IT system performance testing, asset and configuration management, change management, and maintenance on network infrastructure. Includes records such as:rn- files identifying IT facilities and sitesrn- files concerning implementation of IT facility and site managementrn- equipment support services provided to specific sitesrn- inventories of IT assets, network circuits, and building or circuitry diagramsrn- equipment control systems such as databases of barcodes affixed to IT physical assets, and tracking of approved personally-owned devicesrn- requests for servicern- work ordersrn- service historiesrn- workload schedulesrn- run reportsrn- schedules of maintenance and support activitiesrn- problem reports and related decision documents relating to the software infrastructure of the network or systemrn- reports on operationsrn- website administrationrn- records to allocate charges and track payment for software and services

The New York Climate Change Science Clearinghouse (NYCCSC) is a gateway for policymakers, local planners, and the public to access documents, data, websites, tools, and maps relevant to climate change adaptation and mitigation across New York State. The goal of the NYCCSC is to support scientifically sound and cost-effective decision-making by its users. It is a dynamic site where users can find information in multiple ways, including interactive tools that use data from different sources.

The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit https://nyserda.ny.gov or follow us on Twitter, Facebook, YouTube, or Instagram.

🌐 Web Scraper: Turn Any URL into AI-Ready Data

Convert any public web page into clean, structured JSON in one click. Just paste a URL and this tool scrapes, cleans, and formats the content—ready to be used in any AI or content pipeline. Whether you're building datasets for LLMs or feeding fresh content into agents, this no-code tool makes it effortless to extract high-quality data from the web.

  ✨ Key Features

⚡ Scrape Any Public Page – Works on blogs, websites, docs… See the full description on the dataset page: https://huggingface.co/datasets/MasaFoundation/Bittensor_Whitepaper_Webscrape_Example.

🌐 Web Scraper: Turn Any URL into AI-Ready Data

Convert any public web page into clean, structured JSON in one click. Just paste a URL and this tool scrapes, cleans, and formats the content—ready to be used in any AI or content pipeline. Whether you're building datasets for LLMs or feeding fresh content into agents, this no-code tool makes it effortless to extract high-quality data from the web.

  ✨ Key Features

⚡ Scrape Any Public Page – Works on blogs, websites, docs… See the full description on the dataset page: https://huggingface.co/datasets/MasaFoundation/Bitcoin_Wikipedia_Webscraper_Example.

Success.ai’s Legal Parties Data provides comprehensive access to verified profiles of legal professionals worldwide. Sourced from over 700 million LinkedIn profiles, this dataset includes actionable insights and contact details for lawyers, in-house counsel, legal advisors, and other professionals in the legal sector. Whether your goal is to promote legal services, recruit top legal talent, or analyze trends in the legal industry, Success.ai ensures your outreach is powered by accurate, enriched, and continuously updated data.

Why Choose Success.ai’s Legal Parties Data? Comprehensive Professional Profiles

Access verified LinkedIn profiles of attorneys, paralegals, compliance officers, corporate counsel, and law firm partners. AI-driven validation ensures 99% accuracy, reducing bounce rates and enabling effective communication. Global Coverage Across Legal Sectors

Includes professionals from corporate law, litigation, intellectual property, compliance, contract law, and legal consulting. Covers major markets across North America, Europe, APAC, and emerging legal hubs globally. Continuously Updated Dataset

Reflects real-time changes in roles, organizational affiliations, and professional achievements to keep your targeting relevant and impactful. Tailored for Legal Insights

Enriched profiles include work histories, areas of specialization, firm affiliations, and professional certifications for deeper engagement opportunities. Data Highlights: 700M+ Verified LinkedIn Profiles: Access a global network of legal professionals in all major practice areas. 100M+ Work Emails: Communicate directly with lawyers, corporate counsel, and legal advisors. Enriched Professional Histories: Gain insights into career trajectories, case specializations, and law firm affiliations. Industry-Specific Segmentation: Target legal professionals in corporate law, litigation, IP law, and more with precision filters. Key Features of the Dataset: Legal Professional Profiles

Identify and connect with legal advisors, corporate counsel, compliance officers, and law firm executives. Engage with professionals influencing corporate decisions, legal compliance, and contract negotiations. Detailed Organizational Insights

Leverage data on firm sizes, practice areas, client industries, and geographic reach. Align outreach with the specific legal expertise and client focus of target professionals. Advanced Filters for Precision Targeting

Refine searches by region, practice area, role, or years of experience for tailored outreach. Customize campaigns to address specific needs like compliance solutions, legal tech tools, or advisory services. AI-Driven Enrichment

Enhanced datasets deliver actionable insights for personalized campaigns, highlighting notable cases, certifications, and career milestones. Strategic Use Cases: Marketing Legal Services

Promote compliance software, contract management tools, or legal advisory services to attorneys and corporate counsel. Engage with professionals responsible for legal operations and corporate governance. Recruitment and Talent Acquisition

Target HR professionals and law firm recruiters seeking attorneys, paralegals, or compliance officers. Simplify hiring for specialized legal roles and law firm expansion efforts. Collaboration and Partnerships

Identify firms and legal professionals for collaborations on compliance programs, regulatory updates, or client representation. Build partnerships with firms specializing in intellectual property, corporate governance, or international law. Market Research and Strategy Development

Analyze trends in legal services, compliance requirements, and litigation to inform strategic decisions. Use insights to adapt offerings to evolving legal needs and market opportunities. Why Choose Success.ai? Best Price Guarantee

Access industry-leading Legal Parties Data at unmatched pricing to ensure cost-effective campaigns and outreach strategies. Seamless Integration

Easily integrate verified legal data into CRMs, marketing platforms, or recruitment systems using APIs or downloadable formats. AI-Validated Accuracy

Depend on 99% accurate data to minimize wasted efforts and maximize engagement with legal professionals. Customizable Solutions

Tailor datasets to focus on specific legal fields, geographic regions, or practice areas to meet your strategic objectives. Strategic APIs for Enhanced Campaigns: Data Enrichment API

Enhance existing records with verified legal professional profiles for better audience targeting and engagement. Lead Generation API

Automate lead generation for a consistent pipeline of qualified legal professionals, scaling your outreach efficiently. Success.ai’s Legal Parties Data empowers you to connect with professionals shaping the legal industry worldwide. With verified contact details, enriched professional profiles, and global reach, your marketing, recruitment, and c...

Not only is cacao the basic ingredient in the world’s favorite confection, chocolate, but it provides a livelihood for over 6.5 million farmers in Africa, South America and Asia and ranks as one of the top ten agriculture commodities in the world. Historically, cocoa production has been plagued by serious losses due to pests and diseases. The release of the cacao genome sequence will provide researchers with access to the latest genomic tools, enabling more efficient research and accelerating the breeding process, thereby expediting the release of superior cacao cultivars. The sequenced genotype, Matina 1-6, is representative of the genetic background most commonly found in the cacao producing countries, enabling results to be applied immediately and broadly to current commercial cultivars. Matina 1-6 is highly homozygous which greatly reduces the complexity of the sequence assembly process. While the sequence provided is a preliminary release, it already covers 92% of the genome, with approximately 35,000 genes. We will continue to refine the assembly and annotation, working toward a complete finished sequence. Updates will be made available via the main project website. Resources in this dataset:Resource Title: Cacao Genome Database. File Name: Web Page, url: http://www.cacaogenomedb.org/

Important: This dataset is updated regularly and the latest version of the dataset is available for download here.

In response to the COVID-19 pandemic, the Allen Institute for AI has partnered with leading research groups to prepare and distribute the COVID-19 Open Research Dataset (CORD-19), a free resource of scholarly articles, including full text content, about COVID-19 and the coronavirus family of viruses for use by the global research community.

This dataset is intended to mobilize researchers to apply recent advances in natural language processing to generate new insights in support of the fight against this infectious disease. The corpus will be updated weekly as new research is published in peer-reviewed publications and archival services like bioRxiv, medRxiv, and others.

By downloading this dataset you are agreeing to the Dataset license. Specific licensing information for individual articles in the dataset is available in the metadata file.

Additional licensing information is available on the PMC website, medRxiv website and bioRxiv website.

Dataset content:

• Commercial use subset
• Non-commercial use subset
• PMC custom license subset
• bioRxiv/medRxiv subset (pre-prints that are not peer reviewed)
• Metadata file
• Readme

Each paper is represented as a single JSON object (see schema file for details).

Description:

The dataset contains all COVID-19 and coronavirus-related research (e.g. SARS, MERS, etc.) from the following sources:

• PubMed's PMC open access corpus using this query (COVID-19 and coronavirus research)
• Additional COVID-19 research articles from a corpus maintained by the WHO
• bioRxiv and medRxiv pre-prints using the same query as PMC (COVID-19 and coronavirus research)

We also provide a comprehensive metadata file of coronavirus and COVID-19 research articles with links to PubMed, Microsoft Academic and the WHO COVID-19 database of publications (includes articles without open access full text).

We recommend using metadata from the comprehensive file when available, instead of parsed metadata in the dataset. Please note the dataset may contain multiple entries for individual PMC IDs in cases when supplementary materials are available.

This repository is linked to the WHO database of publications on coronavirus disease and other resources, such as Microsoft Academic Graph, PubMed, and Semantic Scholar. A coalition including the Chan Zuckerberg Initiative, Georgetown University’s Center for Security and Emerging Technology, Microsoft Research, and the National Library of Medicine of the National Institutes of Health came together to provide this service.

Citation:

When including CORD-19 data in a publication or redistribution, please cite the dataset as follows:

In bibliography:

COVID-19 Open Research Dataset (CORD-19). 2020. Version 2020-03-13. Retrieved from https://pages.semanticscholar.org/coronavirus-research. Accessed YYYY-MM-DD. doi:10.5281/zenodo.3715506

In text:

(CORD-19, 2020)

The Allen Institute for AI and particularly the Semantic Scholar team will continue to provide updates to this dataset as the situation evolves and new research is released.

The last stream within the NESP 5.5 project was related to the conduct of an online survey to get aesthetic ratings of additional 3500 images downloaded from Flickr to improve the Artificial Intelligence (AI)-based system recognising and assessing the beauty of natural scenes, which had been developed in the previous NESP 3.2.3 project. Despite some earlier investment into this research area, there is still a need to improve the tools we use to measure the aesthetic beauty of marine landscapes. This research drew on images publicly available on the Internet (in particular through the photo sharing site Flickr) to build a large dataset of GBR images for the assessment of aesthetic value. Building on earlier work in NESP TWQ Hub Project 3.2.3, we conducted a survey focused on collecting beauty scores of an additional large number of GBR images (n = 3500). This dataset consists of one dataset report, two word files and one excel file demonstrating the aesthetic ratings collected used to improve the accuracy of the aesthetic monitoring AI system.

Methods: The third research stream was conducted on the basis of an online survey to collect aesthetic ratings of 1585 Australians to rate the aesthetic beauty of 3500 GBR underwater pictures downloaded and selected from Flickr. Flickr is an image hosting service and one of the main sources of images for our project. As per our requirement, we downloaded all images and their metadata (including coordinates where available) based on keyword filter such as “Great Barrier Reef”. The Flickr API is available for non-commercial (but commercial use is possible by prior arrangement) use by outside developers. To ensure a much larger and diverse supply of photographs, we have developed a python-based application using Flickr API that allowed us to download Flickr images by keyword (e.g. “Great Barrier Reef” available at https://www.flickr.com). The focus of this research was on under-water images, which had to be filtered from the downloaded Flickr photos. From the collected images we identified an additional number of 3020 relevant images with coral and fish contents out of a total of approximately 55,000 downloaded images. Matt Curnock, CSIRO expert, also provide 100 images from his private images taken at the GBR and consent to use these images for our research. In total, 3120 images were selected and renamed to be rated in a survey by Australian participants (see two file “Image modification” and “Matt image rename” in the AI folder for further details).

The survey was created on Qualtrics website and launched in in April 2020 using Qualtrics survey service. After giving the consent to participating in the online survey, each respondent was randomly exposed to 50 images of the GBR and rate the aesthetic of the GBR scenery on a 10 point scale (1-Very ugly/unpleasant – Very beautiful/pleasant). In total, 1585 complete and valid questionnaires were recorded. Aesthetic rating results was exported to an Excel file and used for improving the accuracy of the computer algorithm recognising and assessing the beauty of natural scenes which had been developed in the previous NESP 3.2.3 project.

Further information can be found here: Stantic, B. and Mandal, R. (2020) Aesthetic Assessment of the Great Barrier Reef using Deep Learning. Report to the National Environmental Science Program. Reef and Rainforest Research Centre Limited, Cairns (30pp.). Available at https://nesptropical.edu.au/wp-content/uploads/2020/11/NESP-TWQ-Project-5.5-Technical-Report-3.pdf

Format: The AI DATASET has one dataset report, one excel file showing aesthetic ratings of all images and two Word files showing how images downloaded from Flickr website and provided by Matt Curnock (CSIRO) were renamed and used for aesthetic ratings and AI development. The aesthetic rating results were later used to improve the accuracy of the AI aesthetic monitoring system for the GBR.

Further information can be found here: Stantic, B. and Mandal, R. (2020) Aesthetic Assessment of the Great Barrier Reef using Deep Learning. Report to the National Environmental Science Program. Reef and Rainforest Research Centre Limited, Cairns (30pp.). Available at https://nesptropical.edu.au/wp-content/uploads/2020/11/NESP-TWQ-Project-5.5-Technical-Report-3.pdf

References: Murray, N., Marchesotti, M. & Perronnin, F (2012). AVA: A Large-Scale Database for Aesthetic Visual Analysis. Available (09/10/17) http://refbase.cvc.uab.es/files/MMP2012a.pdf

Data Location: This dataset is filed in the eAtlas enduring data repository at: data\custodian\2019-2022-NESP-TWQ-5\5.5_Measuring-aesthetics

🌐 Web Scraper: Turn Any URL into AI-Ready Data

Convert any public web page into clean, structured JSON in one click. Just paste a URL and this tool scrapes, cleans, and formats the content—ready to be used in any AI or content pipeline. Whether you're building datasets for LLMs or feeding fresh content into agents, this no-code tool makes it effortless to extract high-quality data from the web.

  ✨ Key Features

⚡ Scrape Any Public Page – Works on blogs, websites, docs… See the full description on the dataset page: https://huggingface.co/datasets/MasaFoundation/ChatGPT_Prompt_Guide_Webscraper_Example.

Analysis of ‘San Joaquin County Land Use Survey 2017’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/34320867-1a92-4422-98e2-4f68d26cff40 on 28 January 2022.

--- Dataset description provided by original source is as follows ---

--- Original source retains full ownership of the source dataset ---

Context & Motivation

https://llmstxt.org/ is a project from Answer.AI which proposes to "standardise on using an /llms.txt file to provide information to help LLMs use a website at inference time." I've noticed many tool providers begin to offer /llms.txt files for their websites and documentation. This includes developer tools and platforms like Perplexity, Anthropic, Hugging Face, Vercel, and others. I've also come across https://directory.llmstxt.cloud/, a directory of websites… See the full description on the dataset page: https://huggingface.co/datasets/megrisdal/llms-txt.

Click Web Traffic Combined with Transaction Data: A New Dimension of Shopper Insights

Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. Click enhances the unparalleled accuracy of CE Transact by allowing investors to delve deeper and browse further into global online web traffic for CE Transact companies and more. Leverage the unique fusion of web traffic and transaction datasets to understand the addressable market and understand spending behavior on consumer and B2B websites. See the impact of changes in marketing spend, search engine algorithms, and social media awareness on visits to a merchant’s website, and discover the extent to which product mix and pricing drive or hinder visits and dwell time. Plus, Click uncovers a more global view of traffic trends in geographies not covered by Transact. Doubleclick into better forecasting, with Click.

Consumer Edge’s Click is available in machine-readable file delivery and enables: • Comprehensive Global Coverage: Insights across 620+ brands and 59 countries, including key markets in the US, Europe, Asia, and Latin America. • Integrated Data Ecosystem: Click seamlessly maps web traffic data to CE entities and stock tickers, enabling a unified view across various business intelligence tools. • Near Real-Time Insights: Daily data delivery with a 5-day lag ensures timely, actionable insights for agile decision-making. • Enhanced Forecasting Capabilities: Combining web traffic indicators with transaction data helps identify patterns and predict revenue performance.

Use Case: Analyze Year Over Year Growth Rate by Region

Problem A public investor wants to understand how a company’s year-over-year growth differs by region.

Solution The firm leveraged Consumer Edge Click data to: • Gain visibility into key metrics like views, bounce rate, visits, and addressable spend • Analyze year-over-year growth rates for a time period • Breakout data by geographic region to see growth trends

Metrics Include: • Spend • Items • Volume • Transactions • Price Per Volume

Inquire about a Click subscription to perform more complex, near real-time analyses on public tickers and private brands as well as for industries beyond CPG like: • Monitor web traffic as a leading indicator of stock performance and consumer demand • Analyze customer interest and sentiment at the brand and sub-brand levels

Consumer Edge offers a variety of datasets covering the US, Europe (UK, Austria, France, Germany, Italy, Spain), and across the globe, with subscription options serving a wide range of business needs.

Consumer Edge is the Leader in Data-Driven Insights Focused on the Global Consumer

Success.ai delivers an industry-leading solution for accessing Verified Company Data within Europe’s automotive sector. Our comprehensive database empowers businesses with the tools to connect with decision-makers, analyze market trends, and uncover actionable insights. Designed for precision and scalability, our verified datasets are continuously updated and validated using advanced AI, ensuring unmatched accuracy and relevance.

Key Features of Success.ai's Verified Company Data for the European Automotive Sector:

Extensive Coverage: Access profiles of 30M+ companies across the European automotive supply chain, including manufacturers, suppliers, distributors, and dealerships.

Detailed Firmographic Insights: Gain critical business details, including company size, revenue, number of employees, locations, and operational scope.

Contact Details for Decision-Makers: Directly reach key stakeholders, including CEOs, procurement managers, engineers, and R&D leads. Profiles include work emails, phone numbers, and physical addresses.

Tailored Industry Data: Focused on the automotive sector, our database includes insights into sub-industries such as electric vehicles (EVs), autonomous technology, and component manufacturing.

Real-Time Accuracy: Continuously updated datasets ensure 99% accuracy, empowering your campaigns with reliable and current information.

Compliance and Security: Our data collection methods are fully GDPR-compliant, ensuring legal and ethical usage in all business practices.

Why Choose Success.ai for Verified Company Data?

Best Price Guarantee: We provide unparalleled value with the most competitive pricing for verified company data in the automotive sector.

AI-Driven Validation: Advanced AI ensures that every data point is meticulously verified, reducing errors and maximizing efficiency.

Customizable Solutions: Whether you’re targeting a specific country, sub-sector, or company size, our data can be tailored to meet your precise requirements.

Seamless Scalability: From niche projects to large-scale initiatives, our platform scales effortlessly to match your business needs.

Comprehensive Use Cases for Verified Company Data:

1. Market Expansion Strategies:

Leverage verified profiles to identify potential partners, distributors, and clients as you expand into new regions within Europe’s automotive market.

1. Lead Generation and Sales Campaigns:

Connect directly with decision-makers at leading automotive companies. Use verified contact details to enhance your outreach and conversion rates.

1. Competitive Analysis:

Understand your competitors’ operations and market positioning with detailed firmographic insights. Use this data to refine your strategies and gain a competitive edge.

1. Supplier and Vendor Assessment:

Evaluate potential suppliers or vendors by accessing detailed company profiles, including financial health and operational capabilities.

1. R&D Collaboration Opportunities:

Identify companies leading in innovation, such as EV technologies and autonomous systems, to explore research and development partnerships.

APIs to Supercharge Your Efforts:

Enrichment API: Keep your CRM and ERP systems up-to-date with real-time data enrichment. Maintain accurate company profiles and contact details to drive informed decisions.

Lead Generation API: Optimize your lead generation campaigns by integrating verified company data directly into your outreach workflows. Perfect for targeting automotive decision-makers with precision.

Tailored Solutions for Automotive Professionals:

Manufacturers: Identify and connect with component suppliers, technology partners, and distribution networks.

Suppliers: Expand your client base by targeting manufacturers and distributors across Europe’s automotive ecosystem.

Consultants: Deliver strategic advice to clients with access to comprehensive industry data and market trends.

R&D Teams: Collaborate with innovative companies driving the future of automotive technology.

What Sets Success.ai Apart?

Comprehensive Database: Access data for 30M+ businesses in Europe’s automotive industry, including emerging EV markets and established manufacturers.

Global Standards Compliance: Rest assured that all data is ethically sourced and compliant with GDPR and other global regulations.

Flexible Integration: Our customizable data delivery ensures seamless integration into your existing systems and workflows.

Dedicated Support: Our team of data specialists is always available to help you unlock the full potential of our solutions.

Empower Your Business with Success.ai:

Success.ai’s Verified Company Data for the European automotive sector provides the insights and connections you need to thrive in this dynamic market. Whether your focus is on lead generation, market expansion, or innovation partnerships, our tailored data solutions ensure you achieve measurable success.

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