RDL logo
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
​
​
Sign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2025 Raw Data Library. All rights reserved.
PrivacyTerms
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. Shower Thoughts: Why Scientists Should Spend More Time in the Rain

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Preprint
English
2023

Shower Thoughts: Why Scientists Should Spend More Time in the Rain

0 Datasets

0 Files

English
2023
Authorea (Authorea)
DOI: 10.22541/au.167282899.91655475/v1

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Yakov Kuzyakov
Yakov Kuzyakov

Institution not specified

Verified
John T. Van Stan
Scott T. Allen
Doug P. Aubrey
+17 more

Abstract

Rainwater is a vital resource and dynamic driver of terrestrial ecosystems. Yet, processes controlling precipitation inputs and interactions during storms are often poorly seen, and poorly sensed when direct observations are substituted with technological ones. We discuss how human observations complement technological ones, and the benefits of scientists spending more time in the storm. Human observation can reveal ephemeral storm-related phenomena such as biogeochemical ‘hot moments’, organismal responses, and sedimentary processes which can then be explored in greater resolution using sensors and virtual experimentation. Storm-related phenomena trigger lasting, oversized impacts on hydrologic and biogeochemical processes, organismal traits/functions, and ecosystem services. We provide examples of phenomena in forests, across disciplines and scales, to inspire mindful, holistic observation of ecosystems during storms. We conclude that technological observations alone are insufficient to trace the process complexity and unpredictability of fleeting biogeochemical or ecological events without the “shower thoughts” produced by scientists’ human sensory and cognitive systems during storms.

How to cite this publication

John T. Van Stan, Scott T. Allen, Doug P. Aubrey, Z. Carter Berry, Matthew Biddick, Miriam Coenders‐Gerrits, Paolo Giordani, Sybil S. Gotsch, E. D. Gutmann, Yakov Kuzyakov, Donát Magyar, Valentina S. A. Mella, Kevin F Mueller, Alexandra G. Ponette‐González, Philipp Porada, Carla E. Rosenfeld, Jack Simmons, Sridhar Kandikere R, Aron Stubbins, Travis Swanson (2023). Shower Thoughts: Why Scientists Should Spend More Time in the Rain. Authorea (Authorea), DOI: 10.22541/au.167282899.91655475/v1.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Preprint

Year

2023

Authors

20

Datasets

0

Total Files

0

Language

English

Journal

Authorea (Authorea)

DOI

10.22541/au.167282899.91655475/v1

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access