| title | description | date | authors | |
|---|---|---|---|---|
Celebrating Data Charm: 5 Collections to Fall in Love with |
Finding your perfect match, a DataHub.io collection that fits your needs. |
2025-02-13 |
|
It’s Love Data Week: who says your next love won’t be data?
Great insights fuel innovation and make knowledge truly reliable. That’s why DataHub.io is sharing five of our top collections, hoping to spark a connection.
From Stock Market trends to Football stats, each dataset holds hidden gems. But they all have three things in common:
- Reliability – Sourced from certified, trackable data
- Tidiness – No redundancy, no incomplete datasets
- Adaptability – Clear classification criteria and tandard formats for full customization
In each section of this article, you will find:
- A collection overview, underlining what makes it unique
- Use cases, suggesting how to make the most of it
- Dataset breakdown tables, presenting what you’re going to find inside the collection
What are you waiting for? Let DataHub.io be your next favorite matchmaker!
Our first candidate is the Geodata collection, a mix of solutions and open-source data that will give you butterflies in the stomach.
At DataHub.io, we have honed our focus on geographical and spatial data, some of the most essential and widely used information sources today: its estimated market size amounted to USD 385+ billion in 2023 (source: Grand View Research).
It is no wonder why: global commerce and geolocalization services as we know them today couldn’t be possible without Geodata. However, the scope of this field is so vast that each user’s needs are as unique as the data itself. Thus, our collection comes in three flavors:
- Open-source: including GeoJSON datasets for basic needs, and a preview of postal codes
- Premium solutions: a monthly subscription grinding full access to our comprehensive Global Data
- Customized services: for those who want to communicate specific requirements and receive a tailored approach
Our Geodata collection is perfect for anyone looking to leverage data to maximize their profits, prevent losses, or craft data-driven strategies. This collection serves a wide range of users, from shipping businesses and geolocation service providers to e-commerce investors and government professionals.
| DATA | BRIEF DESCRIPTION |
|---|---|
| Postal Codes Datasets | Covers 239 different regions of the world, going beyond the state-based system. It is a targeted service to avoid problems and inconveniences linked to mistaken addresses. |
| Logistics Data | Contains everything shipping companies need to know for air, water, and ground transportation. Here, alongside demographic information, you can find also boundaries, facilities and specific requirements for packaging types. |
| Global Country & Region Reference Data | Offers a comprehensive overview regarding any specific geographical area. It includes administrative information, eventual membership to international organizations, and work patterns and holidays. |
| GeoJSON | DataHub.io decided to showcase a series of GeoJSON data to give the ultimate toolkit to explore and visualize map-linked information. It provides the complete nomenclature to 3 levels and the polygons by continents and countries, with a specific section dedicated to the US. |
Curious about our postal code datasets? 🗺️Read our dedicated article!
The Stock Market data collection is the kind of partner any parent would want for their kid: reliable, transparent, and always updated, it will guide your financial journey, day by day.
NASDAQ market alone reported more than 46 million trades on February 7th, 2025, In 2023 alone, totaling about 7.98 billion shares valued at $334 billion - only representing a portion of the global movements. These numbers would easily overwhelm investors who aren’t leveraging on datasets, but that’s where DataHub.io steps in.
We are happy to present you with a curated selection of seven ready-to-use datasets to back your investment strategies with sound information. Our Stock Market collection empowers strategic decision-making at every level:
- Traders and investors use data to track the market trends and increase returns
- Financial analysts lean on figures to develop new investment strategies and offer better counseling services
- Hedge fund managers save time by simplifying data retrieval, boosting speed and portfolio efficiency
| DATA | BRIEF DESCRIPTION |
|---|---|
| S&P 500: General, Companies’ financial information, Index Data | These datasets include the 500 largest publicly traded U.S. companies with sector classifications and stock symbols, plus key financial metrics like market cap, earnings, and P/E ratios. It also provides historical monthly S&P 500 data, covering price levels, dividends, and earnings. |
| CBOE Volatility Index (VIX) | Accurate tracking of open, close, high, and low values of the VIX, a key measure of market volatility expectations. Daily updated, it is useful for risk assessment, market sentiment analysis, and financial modeling. |
| NASDAQ & NYSE and Other market listings | A comprehensive compilation of companies listed on major stock exchanges, featuring stock symbols, company names and datasets round lot data to inform investment strategies. |
| Brent and WTI Spot Prices | Spot prices for Brent Crude and West Texas Intermediate (WTI) crude oils are available daily, weekly, monthly, and annually. Brent, sourced from the North Sea, benchmarks oil pricing in Europe, while WTI, extracted in the U.S., serves as the primary benchmark in the Americas. |
| Gold and Natural gas prices | Time series data on major natural gas prices, including the U.S. Henry Hub benchmark, alongside monthly gold prices in USD since 1950, sourced from the London market. They serve as a key resource for analyzing energy market trends and price fluctuations, forecasting natural gas costs, and tracking long-term trends in gold prices, which are often viewed as a hedge against economic uncertainty. |
Ready to acquire the ultimate toolkit to boost your financial future? 🔎Browse the Stock Market collection now!
Climate Change data has had a troubled relationship with humankind. Yet, despite facing skepticism, the facts persist - trusting us to make it actionable and protect our future.
Climate change data remains one of the most contested issues in both online and societal debates. In 2020, nearly half a million posts on Twitter denied the crisis (source: NRDC), while 15% of Americans still reject its existence - as outlined by an AI-based study from the University of Michigan.
Amidst conflicting views and misinformation, numbers remain a constant anchor. By drawing on both mainstream and independent sources like the World Bank and climate4you, our Climate Change collection empowers people by making their own opinions:
- Researchers can access a comprehensive database offering insights into critical events and European trading policies
- Policy-makers rely on accurate data to craft impactful legislation and strategies that enhance community well-being
- NGOs and activists can use solid evidence to advocate for meaningful campaigns and counter misinformation
- Businesses can leverage insights to make sustainable decisions and mitigate climate-related risks
| DATA | DESCRIPTION |
|---|---|
| Greenhouse gases and CO2 information | Paramount in providing critical insights into environmental trends and policy effectiveness, they keep track of one of the most important variables in global warming. The datasets include insights on pollution from fossil fuels both globally and by nation. |
| Global temperature and anomalies | Datasets that help predict future climate impacts, especially informing decision-making processes and independent information activities. |
| Glacier size and sea level rise | Two of the most important indicators of the climate crisis, this data is necessary to understand changes in biodiversity and drive coastal protection strategies. |
A straightforward and less romantic partner, DataHub.io's collection on Wealth, Income, and Inequality underscores the deepening divides within humanity.
These datasets will probably outrage you, but they will also empower you to channel that anger into action for a better global society.
- In 2020, the richest 1% of the global population captured more than one-fifth of overall income (source: Inequality)
- The Guardian disclosed that, in 2024, billionaires' wealth grew at a staggering USD 5.7 billion daily - original report by Oxfam
- In the same year, US labor force participation dropped to 62.4%, nearly a four-point decline in a decade (source: Bureau of Labor Statistics)
These figures spark critical debates about our future, urging both policymakers and the global community to use solid data to understand our present and shape what’s to come.
| DATA | DESCRIPTION |
|---|---|
| World Inequality Database search engine | This tool allows you to easily surf within the World Inequality Database figures and variables, easily customizing the information you want to gather. |
| World Income Inequality Database (WIID4) | Data to delve into the global divides and differential growth rates, based on the people’s different weights as part of worldwide labor markets. |
| US census data | This dataset includes information on demographics, merged with historical income trends, and households, allowing a targeted investigation of American societal inequality. |
Football fans know it well: passion the world’s most popular sport is not for the faint of heart.
Even if you’re not a football fan, its immense media reach is impossible to ignore. For example, the 2023 UEFA Champions League final attracted 450 million global viewers - more than double the same year’s Super Bowl final (source: Calcio e Finanza). With significantly lower TV rights revenues, football becomes a prime investment for marketing and sponsorships.
Contemporary football is increasingly relying on data analysis at multiple levels. Thus, DataHub.io Football Data collection empowers decision-making across different areas:
- Team management and performance improvement
- Marketing campaigns and sponsorships
- Betting industry
- Sports narratives and hype building
Whatever your role, our open-source worldwide football data collection can help you stay ahead in this competitive arena, where rough talent is no longer enough to lead the game.
| DATA | DESCRIPTION |
|---|---|
| Major European Leagues | Five opensource datasets were directly curated by DataHub.io including overarching and complete match statistics for the last 25 years. Updated daily, they include: the English Premier League; Spanish La Liga; Italian Serie A; German Bundesliga; and French Ligue 1. |
| Worldwide football data | A total of 25 GitHub projects that tackle football statistics from different angles: World Cup editions, predictions, minor-league performances, betting insights, and even insights on the Brasilian Bolao Cup. |
⚽Craving for more insights on how to inform your football-related strategies? Read our dedicated article!
| Want data that sparks ideas and fuels your work?�📩 Subscribe to our Weekly Dataset Pick and never miss a discovery! 👉 Subscribe now – It’s free and built for curious minds. 🚀 |
|---|