SOS2 WDO Web Data Services – station and historic time series data for watercourse level and discharge, water storage volume and level, groundwater level, water temperature, turbidity, water pH, ...

Pastas is an open source python package for processing, simulating and analyzing groundwater time series. The object oriented structure allows for the quick implementation of new model components.

In an underwater streamer discharge, plasma channels are created and propagate in water. After the discharge, the ionized gas channels gradually cool down and decay. In this paper, a time-resolved ...

This article aims to address the problem of time-series forecasting. Current state-of-the-art forecasting models lack the ability to mine the spatiotemporal dependence. How to mine more useable ...

Practical time series forecasting with R : a hands-on guide by Shmueli, Galit 1971- author Publication date 2016 Topics Time-series analysis, Forecasting -- Statistical methods, Série chronologique, ...

Sea surface temperatures in 2024 broke records and about a quarter of the world’s oceans are experiencing temperatures that qualify as a marine heat wave.

The problem of time series segmentation (TSS) is to find a meaningful segmentation of a time series (TS) that captures a data-generating process with distinct states and transitions. We consider a ...

U.S. and state officials say the consolidation of the public health agency’s vast trove of information could expose patients and will delay analysis of long-term trends.

The largest map of the universe, created with data from the James Webb Space Telescope, shows almost 800,000 galaxies crammed into a tiny piece of sky and spanning almost all of time.