Comprehensive profile of occupational descriptors and characteristics for 923 O*NET-SOC occupations. Includes, knowledge, skills, abilities, tasks, work activities and additional attributes. Available as downloadable files, and web services/APIs. See: www.onetcenter.org

We use data from the 2019 Occupational Information Network (O*NET) Work Context module, which reports summary measures of the tasks used in 968 occupations (National Center for O*NET Development 2020). These data are gathered through surveys asking workers how often they perform particular tasks and about the importance of different activities in their jobs. Some of the questions relate to the need for face-to-face interaction with clients, customers, and coworkers, and other questions assess how easily work could be done remotely. We use such questions to build two occupation indices: Face-to-Face (questions on face-to-face discussions and physical proximity) and Remote Work (questions on the use of electronic mail, written letters, and phone conversation). It is important to note that these occupational characteristics in the O*NET are measured prior to the epidemic. This means that they do not capture “work practice innovations” that may have been induced by the epidemic, such as the fact that many teachers and professors transitioned from face-to-face to online instruction during the epidemic.

The State of California defines the requirements for various positions through Classifications. Examples of Classifications are Office Technician, Staff Services Analyst, Information Technology Specialist I and about 3,000 others. The Federal Government classifies various occupations using ONET groupings. The data set contained here shows how the State of California maps its Classes to the ONET codes. The purpose of this mapping is to standardize reporting when needing to compare State positions to non-State positions.

Dataset

This dataset was created by khalil A. Dimassi

Contents

Dataset includes occupational licenses by state. Data is provided by the state. All licenses are coded to an O*NET-SOC code and by state. CareerOneStop.org web service available upon request.

Dataset

This dataset was created by Sreerag Chandran

Released under U.S. Government Works

Contents

It contains the following files:

Online advertised jobs data categorized by city, state, employer, O*NET occupation code, NAIC code, education level, experience level, and wages.

This file includes: Certifications name, acronym, related O*NET and NAICS codes, and accrediting agencies. There are also indicators to identify if the certification is in-demand, if it is included in the military COOL database, as well as other data sets. Certifying organization data includes address, contact information, and acronyms.

Realty Income reported $315.77M in Net Income for its fiscal quarter ending in September of 2025. Data for Realty Income | O - Net Income including historical, tables and charts were last updated by Trading Economics this last November in 2025.

Experimental estimates of the time spent doing green tasks, over time, by UK country and by industry. The estimates use a new method based on task-level data from the O*NET database in the US.

Data Documentation

This document describes the data sources and variables used in the third Anthropic Economic Index (AEI) report.

Claude.ai Usage Data

Overview

The core dataset contains Claude AI usage metrics aggregated by geography and analysis dimensions (facets).

Source files: - aei_raw_claude_ai_2025-08-04_to_2025-08-11.csv (pre-enrichment data in data/intermediate/) - aei_enriched_claude_ai_2025-08-04_to_2025-08-11.csv (enriched data in data/output/)

Note on data sources: The AEI raw file contains raw counts and percentages. Derived metrics (indices, tiers, per capita calculations, automation/augmentation percentages) are calculated during the enrichment process in aei_report_v3_preprocessing_claude_ai.ipynb.

Data Schema

Each row represents one metric value for a specific geography and facet combination:

Facets

• country: Country-level aggregations
• state_us: US state-level aggregations
• onet_task: O*NET occupational tasks
• collaboration: Human-AI collaboration patterns
• request: Request complexity levels (0=highest granularity, 1=middle granularity, 2=lowest granularity)
• onet_task::collaboration: Intersection of tasks and collaboration patterns
• request::collaboration: Intersection of request categories and collaboration patterns

Core Variables

Variables follow the pattern {prefix}_{suffix} with specific meanings:

From AEI processing: *_count, *_pct From enrichment: *_per_capita, *_per_capita_index, *_pct_index, *_tier, automation_pct, augmentation_pct, soc_pct

Usage Metrics

• usage_count: Total number of conversations/interactions in a geography
• usage_pct: Percentage of total usage (relative to parent geography - gobal for countries, US for states)
• usage_per_capita: Usage count divided by working age population
• usage_per_capita_index: Concentration index showing if a geography has more/less usage than expected based on population share (1.0 = proportional, >1.0 = over-representation, <1.0 = under-representation)
• usage_tier: Usage adoption tier (0 = no/little adoption, 1-4 = quartiles of adoption among geographies with sufficient usage)

Content Facet Metrics

O*NET Task Metrics: - onet_task_count: Number of conversations using this specific O*NET task - onet_task_pct: Percentage of geographic total using this task - onet_task_pct_index: Specialization index comparing task usage to baseline (global for countries, US for states) - onet_task_collaboration_count: Number of conversations with both this task and collaboration pattern (intersection) - onet_task_collaboration_pct: Percentage of the base task's total that has this collaboration pattern (sums to 100% within each task)

Occupation Metrics

• soc_pct: Percentage of classified O*NET tasks associated with this SOC major occupation group (e.g., Management, Computer and Mathematical)

Request Metrics: - request_count: Number of conversations in this request category level - request_pct: Percentage of geographic total in this category - request_pct_index: Specialization index comparing request usage to baseline - request_collaboration_count: Number of conversations with both this request category and collaboration pattern (intersection) - request_collaboration_pct: Percentage of the base request's total that has this collaboration pattern (sums to 100% within each request)

Collaboration Pattern Metrics: - collaboration_count: Number of conversations with this collaboration pattern - collaboration_pct: Percentage of geographic total with this pattern - collaboration_pct_index: Specialization index comparing pattern to baseline - automation_pct: Percentage of classifiable collaboration that is automation-focused (directive, feedback loop patterns) - augmentation_pct: Percentage of classifiable collaboration that is augmentation-focused (validation, task iteration, learning patterns)

Demographic & Economic Metrics

• ...

Conversion between International Standard Classification of Occupations (ISCO-08) and the UK Standard Occupation Classification (SOC) 2000 and 2010. Developed as part of research into "green jobs" using an occupation- and task-based approach. Used to convert US Occupational Information Network (O*NET) data to UK SOC codes.

This is the Chinook database schema:

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This is the sample database from sqlservertutorial.net. This is a great dataset for learning SQL and practicing querying relational databases.

Database Diagram:

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F4146319%2Fc5838eb006bab3938ad94de02f58c6c1%2FSQL-Server-Sample-Database.png?generation=1692609884383007&alt=media" alt="">

Terms of Use

The sample database is copyrighted and cannot be used for commercial purposes. For example, it cannot be used for the following but is not limited to the purposes: - Selling - Including in paid courses

Natural product in the COCONUT database with details of source organisms, geolocations and citations.

Natural product in the COCONUT database with details of source organisms, geolocations and citations.

this graphs was created in R and Ourdataworld:

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Introduction:

The dawn of the internet era has heralded an unprecedented age of connectivity, transforming the way we live, communicate, and interact on a global scale. As of 2020, approximately 60% of the world's population had access to the internet, marking a significant milestone in the digital revolution. From facilitating seamless communication to enabling cross-border collaborations, the internet has become an indispensable tool in our daily lives. This essay explores the multifaceted impact of the internet across various domains, highlighting its role as a catalyst for global connectivity and innovation.

Communication and Collaboration:

One of the most profound implications of the internet is its ability to bridge geographical distances and facilitate instant communication. Platforms such as email, social media, and messaging apps have revolutionized how we interact with one another, transcending borders and time zones. Whether it's connecting with loved ones halfway across the globe or collaborating with colleagues on a project, the internet has made communication more accessible and efficient than ever before. Video conferencing tools have further enhanced remote collaboration, enabling teams to work seamlessly regardless of their physical location. As a result, businesses have embraced remote work models, unlocking new possibilities for flexibility and productivity.

Financial Inclusion and Remittances:

The internet has democratized access to financial services, empowering individuals to participate in the global economy irrespective of their location. Online banking, mobile payment apps, and digital wallets have revolutionized the way we manage our finances, offering convenience and security. Moreover, the internet has facilitated international money transfers, including remittances, which play a vital role in supporting families and economies worldwide. Platforms like PayPal, TransferWise, and Western Union have streamlined the process of sending and receiving money across borders, reducing transaction costs and increasing efficiency. This newfound accessibility to financial services has contributed to greater financial inclusion and economic empowerment, particularly in underserved communities.

Education and Knowledge Sharing:

The internet has democratized access to education, breaking down traditional barriers to learning and knowledge dissemination. Online courses, tutorials, and educational platforms have made quality education accessible to anyone with an internet connection. Whether it's acquiring new skills, pursuing higher education, or accessing resources for self-improvement, the internet offers a wealth of learning opportunities. Open educational resources (OERs) and Massive Open Online Courses (MOOCs) have revolutionized the way we approach education, fostering a culture of lifelong learning and skill development. Furthermore, online forums and communities provide avenues for knowledge sharing and collaboration, enabling individuals to learn from experts and peers across the globe. This democratization of education holds the promise of narrowing the digital divide and fostering global innovation and prosperity.

Cross-Border Social Connections:

The internet has transcended cultural and linguistic barriers, facilitating cross-border social connections and fostering a sense of global citizenship. Social media platforms have become virtual gathering spaces where people from diverse backgrounds can connect, share experiences, and engage in meaningful dialogue. Whether it's forming friendships with individuals from different countries or participating in online communities centered around shared interests, the internet has enriched our social interactions in unprecedented ways. Moreover, platforms like language exchange forums and cultural exchange programs promote intercultural understanding and empathy, bridging gaps between people of different nationalities and backgrounds. By facilitating cross-border social connections, the internet has the potential to foster a more inclusive and interconnected global comm...

Natural product in the COCONUT database with details of source organisms, geolocations and citations.

Cuyahoga County, OH - Unemployment Rate - Historical chart and current data through 2025.