Allows users to filter datasets by format, license, update date, and other metadata attributes.
Aggregates metadata from a wide range of data repositories and providers globally.
Connects with tools like Google Scholar for streamlined research workflows.
Available in multiple languages, making it accessible to a global audience.
Shows detailed information including provider, license, data types, and descriptions for each dataset.
No cost involved, allowing unrestricted use for individuals and organizations.
Continuously updates its index with new datasets and improvements.
Finding datasets for scientific studies, papers, and experimental validation in various fields.
Sourcing data for statistical analysis, visualization, and reporting in business or personal projects.
Locating large, labeled datasets to train and test AI models for applications like image recognition or natural language processing.
Gathering data on industry trends, consumer behavior, and competitive analysis to inform strategies.
Discovering public datasets from government agencies for transparency, policy analysis, or civic engagement.
Using datasets for teaching data science, statistics, or research methods in academic settings.
Supporting news stories with data-driven evidence and insights from verified sources.
Informing decision-making with relevant data on market conditions, customer insights, or operational metrics.
Promoting the use and sharing of open data by discovering and citing available datasets.
Exploring datasets for interests like sports analytics, hobbyist coding, or creative data art.
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3D Slash is a unique, block-based 3D modeling software designed to make 3D design intuitive and accessible for everyone, from children and educators to hobbyists and professionals. Inspired by the visual simplicity of retro video games, it uses a 'destruction' and 'construction' metaphor where users carve models out of a virtual block of material using tools like a hammer, chisel, and trowel, rather than manipulating complex vertices and polygons. This gamified approach significantly lowers the learning curve associated with traditional CAD software. It is widely used in educational settings to teach STEM concepts, design thinking, and spatial reasoning. Users can create models for 3D printing, game assets, architectural visualizations, and simple prototypes directly in a web browser or via desktop applications. The platform emphasizes creativity, speed, and fun, positioning itself as a bridge between playful digital making and practical 3D output.
Achieve3000 is an adaptive literacy platform designed primarily for K-12 education, focusing on improving reading comprehension and critical thinking skills. It uses proprietary AI and natural language processing to dynamically adjust the reading level of nonfiction articles to match each student's individual Lexile measure, a standard for assessing reading ability. The platform provides differentiated instruction by delivering the same core content at multiple reading levels, allowing all students in a classroom to engage with grade-appropriate topics while reading at their own level. It is widely used in schools and districts across the United States to support English Language Arts instruction, intervention programs, and college and career readiness. The system includes embedded assessments, writing prompts, and data dashboards for teachers to monitor student progress. By providing personalized, leveled content, it aims to accelerate literacy growth, particularly for struggling readers and English language learners.
Acuant is an AI-powered legal research and document analysis platform designed to assist legal professionals, such as lawyers, paralegals, and corporate counsel, in navigating complex legal information. It leverages advanced natural language processing and machine learning to parse vast databases of case law, statutes, regulations, and legal precedents. The tool helps users quickly find relevant legal authorities, analyze documents for key clauses and risks, and prepare for litigation or transactions. By automating time-consuming research tasks, Acuant aims to improve accuracy, reduce manual effort, and enable legal teams to focus on higher-value strategic work. It is positioned as a modern solution for law firms and in-house legal departments seeking to enhance productivity and decision-making through AI.
