6  Portals

6.1 Overview

CalCOFI data is available through various portals, each serving different purposes and user needs. This document outlines the main access points and their characteristics.

6.1.1 EDI (Environmental Data Initiative)

  • Complete dataset archives using DataOne software and EML metadata
  • DOIs issued for all datasets ensuring citability
  • Full archive allowing for any data file types
  • Basic spatial and temporal filtering through web interface
  • Download in original formats with metadata
  • Access through DataOne API
  • Links:

6.1.2 NCEI (National Centers for Environmental Information)

  • Long-term archival of oceanographic data
  • DOIs issued for dataset submissions
  • Standardized metadata using ISO 19115-2
  • Basic search interface with geographic and temporal filtering
  • Data preserved in original submission formats
  • Access through NCEI API services
  • Links:

6.1.3 OBIS (Ocean Biodiversity Information System)

  • Specialized in marine biodiversity data
  • Standardized using DarwinCore fields
  • Extended measurements supported via extendedMeasurementOrFact
  • Powerful filtering by space, time, and taxonomic parameters
  • Multiple download formats (CSV, JSON, Darwin Core Archive)
  • Full REST API access
  • Links:

6.1.4 ERDDAP (Environmental Research Division Data Access Program)

6.2 Meta-Portals

6.2.2 ODIS (Ocean Data Information System)

ODIS uses the same technology as Google Dataset Search (schema.org, JSON-LD), but focuses on ocean data. CalCOFI curates a sitemap of authoritative datasets to server to ODIS.org

This federated approach ensures that CalCOFI data remains:

  • Discoverable through multiple channels
  • Properly cited and attributed
  • Integrated with global ocean data systems

6.3 CalCOFI.io Tools

CalCOFI is also developing an integrated database and tools that enable efficient data access and analysis:

6.3.1 APIs

  • RESTful endpoints for programmatic access
  • Filtering by space, time, and taxonomic parameters
  • Relationship queries across tables
  • Links:

6.3.2 Library

  • Direct data access from R
  • Built-in analysis functions
  • Integration with tidyverse ecosystem
  • Link:

6.3.3 Apps

  • Interactive data exploration with Shiny applications
  • User-friendly interfaces
  • Subset and download data
  • Link: