Alternative data datasets
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Geospatial features and points collected from OpenStreetMap within Ireland.
OpenStreetMap-supplied geographic data scoped to Israel.
Location intelligence pulled from OpenStreetMap across Italy.
OpenStreetMap geographic dataset covering the Netherlands.
Geographic point and boundary information sourced from OpenStreetMap covering the state of New York.
Geospatial records sourced from OpenStreetMap covering the territory of New Zealand.
Geographic information sourced from OpenStreetMap covering the country of Poland (PL).
Geographic features and place records sourced from OpenStreetMap covering Spain.
Geographic and place information sourced from OpenStreetMap covering Sweden.
Geographic place records sourced from OpenStreetMap covering Switzerland.
Geographic information covering the United Kingdom (UK).
OpenStreetMap-sourced geographic records covering the United Kingdom (UK).
Geographic and location records covering the United States (USA).
One month cut of international job postings scraped by Techmap.io
A continuously refreshed three-month window of Polish job vacancy data hosted on AWS Data Exchange, delivered through the same ingestion process used for the United States collection.
A rolling three-month US job-postings feed with roughly 29,800 new postings added each day.
Qwen3-4B Patent Embeddings (专利特征向量数据集) 📌 简介 (Introduction) 本数据集包含了海量专利文本的特征向量（Embeddings）。所有特征向量均使用强大的 Qwen3-embedding-4B 模型提取。 数据领域: 专利 (Patents) 特征提取模型: Qwen3-embedding-4B 数据格式: .mmap (Memory-mapped file, numpy-compatible) + .tsv 数据精度: float16 📂 数据结构 (Data Structure) 由于数据量庞大，在生成时使用了 4 张 GPU 进行分布式计算，因此数据被划分为 4 个分片（Shards）：shard_0 到 shard_3。 每个 Shard 目录下包含以下核心文件： embeddings.float16.mmap: 核心的特征向量矩阵
Worldwide risk analytics covering more than 150 ESG, climate, political, and related indicators.
Extensive points-of-interest collection spanning 19 business sectors throughout Argentina.
Extensive points-of-interest collection spanning nineteen industry sectors throughout Australia.
A broad points-of-interest compilation spanning nineteen industry sectors throughout Canada.
An extensive points-of-interest collection spanning nineteen industry sectors throughout China.
Extensive points-of-interest collection spanning nineteen industry sectors throughout the Czech Republic.
Extensive points-of-interest dataset spanning nineteen sectors throughout Egypt.
An extensive points-of-interest catalog spans nineteen commercial sectors throughout France.
Extensive points-of-interest records spanning 19 industry sectors throughout Germany.
Extensive points-of-interest collection spanning 19 industry sectors throughout Greece.
An extensive points-of-interest collection spanning 19 business sectors throughout India.
An extensive Italian points-of-interest catalog spanning nineteen distinct commercial sectors.
Extensive points-of-interest database spanning 19 business sectors throughout Japan.
Extensive points-of-interest catalog spanning nineteen business sectors throughout the Netherlands.
Extensive points-of-interest database spanning nineteen industry sectors throughout Pakistan.
Extensive Polish registry of places of interest spanning 19 industry categories.
An extensive points-of-interest collection spanning 19 industry sectors throughout Portugal.
An extensive points-of-interest database spanning nineteen commercial sectors throughout South Korea.
A points-of-interest collection spanning 19 industry sectors throughout Romania.
A points-of-interest collection spanning 19 industry sectors throughout the Russian Federation.
Extensive points-of-interest coverage spanning 19 industry sectors across Saudi Arabia.
Wide-ranging points-of-interest inventory spanning nineteen commercial sectors throughout South Africa.
Extensive points-of-interest collection spanning 19 industry sectors throughout Spain.
Wide-ranging points-of-interest resource across 19 commercial segments in Sri Lanka.
An extensive points-of-interest dataset spanning nineteen industry sectors throughout Switzerland.
A broad points-of-interest dataset covering nineteen industry categories throughout Taiwan.
Extensive points-of-interest collection spanning nineteen industry sectors within Thailand.
An extensive points-of-interest collection spanning 19 industry sectors throughout Türkiye.
Broad points-of-interest dataset spanning 19 industry sectors within Ukraine.
Extensive points-of-interest collection covering 19 industry categories throughout the United Arab Emirates.
Wide-ranging POI dataset across 19 business sectors in the United Kingdom.
Over 3.9 million healthcare and wellness sites featuring operational status, contact indicators, and coverage details.
Tools for improving market reach, analyzing competitor positioning, and optimizing supply chain operations.
An extensive points-of-interest catalog spanning nineteen commercial sectors throughout Vietnam.
clinical-trials-trec-qrels is a tabular relevance-judgment file distributed by the 2001jdev user on the Hugging Face Hub. It maps clinical-trial topic identifiers to NCT registry IDs with graded relevance scores.
Internet usage tied to firm IP ranges exposing the subjects and suppliers staff are researching, surfacing pre-RFP purchase intent indicators.
A library of prebuilt scrapers, called Actors, that turn public websites into structured data, maps, reviews, prices, social profiles, with schedulable runs.
Diffbot's mission is to structure the world wide web to create the first complete map of public human knowledge.
This dataset includes historical and upcoming job postings for Australia (AU) collected by Techmap since January 2020, with an average of 193.9k new postings added monthly. Use it to identify leads, track hiring trends, analyze markets, spot company signals, or enhance job boards. Gain actionable insights into emerging technologies and potential prospects to stay competitive.
This dataset includes historical and upcoming job postings for India (IN) collected by Techmap since January 2020, with an average of 234.1k new postings added monthly. Use it to identify leads, track hiring trends, analyze markets, spot company signals, or enhance job boards. Gain actionable insights into emerging technologies and potential prospects to stay competitive.
This dataset includes historical and upcoming job postings for Japan (JP) collected by Techmap since January 2020, with an average of 58.3k new postings added monthly. Use it to identify leads, track hiring trends, analyze markets, spot company signals, or enhance job boards. Gain actionable insights into emerging technologies and potential prospects to stay competitive.
This dataset includes historical and upcoming job postings for Remote Jobs collected by Techmap since January 2024, with an average of 74k new job postings added monthly. Use it to identify leads, track hiring trends, analyze markets, spot company signals, or enhance job boards. Gain actionable insights into emerging technologies and potential prospects to stay competitive.
This dataset includes historical and upcoming job postings for the United Arab Emirates (AE) collected by Techmap since January 2020, with an average of 20.3k new postings added monthly. Use it to identify leads, track hiring trends, analyze markets, spot company signals, or enhance job boards. Gain actionable insights into emerging technologies and potential prospects to stay competitive.