REBIPP: Plant-Pollinator Interactions Data Vocabulary

Tools for standardizing Distributed Acoustic Sensing (DAS) metadata

The Common Education Data Standards (CEDS) Data Warehouse Parquet (DW Parquet) standard is designed for data engineering and data science needs in the cloud. The DW Parquet Models mirror the SQL-based CEDS Data Warehouse. Parquet files are designed for rapid and distributed reporting across multiple technology stacks, data processing and BI tool…

Tools for Data Standardization (Data Standard Checker, Word Extractor, etc.)

READY TO USE. A reporting format for assigning sample identifiers and metadata to characterize samples, their collection details, and linkages to other samples and data.

Rishika's Template for Python Projects (protected by RDP Standard)

Discover the Open 3P Data Standard: Revolutionise packaging data management and drive sustainable practices.

Rishika's Data Protection Standard for Experimental Data

READY TO USE. Guidelines for archiving model data associated with a scientific publication.

READY TO USE. Documentation associated with the leaf-level gas exchange data and metadata reporting format for the ESS-DIVE repository

READY TO USE. A reporting format intended for water level, temperature, electrical conductivity, specific conductance, dissolved oxygen, and pH measured in situ using sensors deployed in water bodies.

READY TO USE. A reporting format for water-soil-sediment chemistry data

An easy as pie way to exchange standardized permitting information.

READY TO USE. Reporting format for CSV files submitted to the ESS-DIVE repository

READY TO USE. Documentation associated with the dataset metadata reporting format for the ESS-DIVE repository

READY TO USE. Documentation associated with the soil respiration data and metadata reporting format for the ESS-DIVE repository

The Regno Standard is an open standard data format, that describes time based data combined with static data. It provides a common structure to ensure controlled communication between applications willing to share, combine and analyse data