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miniSASS: Citizen Science Stream Assessment for Water Quality Monitoring
Simplified stream assessment scoring system designed for community participation in water quality monitoring. The mobile app incorporates AI-assisted macroinvertebrate... -
SAEON Open Data Platform - South African Environmental Observation Network
South Africa's long-term environmental observation data repository operated by the National Research Foundation. Supports multiple metadata standards, integrates with GEOSS, and... -
GBIF Issues and Flags Documentation
Comprehensive guide to GBIF's 50+ data quality flags applied during data ingestion. Explains taxonomic, spatial, and temporal flags, their severity levels, and how to interpret... -
rgbif: Interface to the Global Biodiversity Information Facility API
Official rOpenSci R package for programmatic access to GBIF data. Enables reproducible data download, taxonomic name resolution, and occurrence data retrieval. The primary tool... -
The FAIR Guiding Principles for Scientific Data Management (Wilkinson et al. 2016)
Landmark publication in Scientific Data defining the FAIR principles: Findable, Accessible, Interoperable, Reusable. Over 10,000 citations. The foundational framework for modern... -
CoordinateCleaner: Automated Cleaning of Occurrence Records
rOpenSci R package for automated flagging of common spatial errors in biological collection data. Detects zero coordinates, coordinate-country mismatches, centroid assignments,... -
bdc: A Toolkit for Standardizing, Integrating and Cleaning Biodiversity Data
Peer-reviewed R package (Methods in Ecology and Evolution, 2022) providing five integrated modules for biodiversity data cleaning: dataset merging, pre-filtering, taxonomic... -
GBIF Data Processing Pipeline Documentation
Official documentation of GBIF's data ingestion and processing pipeline. Describes how occurrence data is interpreted, indexed, and quality-flagged through automated validation,... -
Principles and Methods of Data Cleaning (Chapman 2005)
Comprehensive GBIF publication on data cleaning methods for primary species and occurrence data. Covers taxonomic, geographic, and temporal data cleaning approaches from... -
Principles of Data Quality (Chapman 2005)
Foundational GBIF publication on data quality concepts for primary species occurrence data. Covers accuracy, precision, completeness, consistency, and timeliness dimensions....
Tento katalog je také dostupný prostřednictvím API (see Dokumentace API).