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SAMPLE Humidity Data | Real-time & Historical | US and EU Sensor Network

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Databricks2025-12-11 收录
下载链接:
https://marketplace.databricks.com/details/ecb705b4-4029-4e03-a6ae-b846e5a6ca5f/Ambios-Network_SAMPLE-Humidity-Data-Real-time-&-Historical-US-and-EU-Sensor-Network
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资源简介:
Humidity is critical in everything from human health and building performance to agricultural yield, energy consumption, and air quality. With rising climate volatility, access to reliable and localized humidity data is vital for operational resilience, environmental monitoring, and decision-making. Ambios offers precise, real-time, historical Humidity Data sourced from over 3,000+ first-party IoT sensors across 20 countries. Our decentralized network ensures transparency, traceability, and global coverage with hyperlocal accuracy. -Coverage across 20+ countries and diverse climate zones -3,000+ first-party sensor nodes with a 15-minute update frequency -Historical humidity data available -Ideal for ESG initiatives, infrastructure monitoring, agriculture, health, and research -Compatible with weather models, building systems, and IoT platforms -Delivered via flexible formats Use cases include: -Building energy optimization and HVAC performance -Smart agriculture and crop health forecasting -Air quality modeling and combined variable tracking (e.g., temperature, PM2.5) -Climate resilience planning and location intelligence -Scientific and academic research requiring precise environmental baselines Built on DePIN architecture (Decentralized Physical Infrastructure Network), Ambios provides verifiable and scalable humidity data that integrates seamlessly with enterprise, municipal, and scientific ecosystems. Whether managing green infrastructure, modeling urban climate, or developing weather-aware applications, Ambios Humidity Data gives you reliable inputs to act confidently.
提供机构:
Ambios Network
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数据集介绍
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背景与挑战
背景概述
该数据集提供来自美国和欧盟传感器网络的实时和历史湿度数据,覆盖20多个国家的3000多个自有物联网传感器,每15分钟更新一次。它适用于建筑能源优化、农业监测、环境建模和科学研究等多种场景,基于去中心化基础设施架构,确保数据的可验证性和可扩展性。
以上内容由遇见数据集搜集并总结生成
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