Data Export
The izeltlabuak.hu website primarily focuses on arthropods found in Hungary. This entry also deals with Hungarian fauna.
Overview
The export of observations and images recorded on the izeltlabuak.hu platform is possible in several ways, which enable the further use of data in scientific research, educational work, and other purposes. The export options flexibly adapt to different usage needs.

Why is Export Good?
Export provides several advantages for users and the scientific community. From the perspective of supporting scientific research, data can be reused in research projects, detailed statistical analyses can be prepared, and scientific publications can be written based on the used data. It also facilitates international cooperation, especially connections with GBIF and other platforms.
In the field of educational use, it is possible to create books and publications, develop educational materials, and write blogs and articles. From the perspective of data management and organization, organizing one's own data, detailed analysis and overview, and data sharing with acquaintances, the general public, and scientific colleagues becomes more efficient.
Export Options
1. Aggregated and Higher Category Data Export
Observations recorded on izeltlabuak.hu can be downloaded under the 'Data Export' menu item under the 'Subpages' main menu in the header, or directly on the Export Observations page.
The exported files are structured according to the Darwin Core standard.
We create aggregated and higher taxonomic group datasets weekly. Each contains a snapshot of the current state at the time of creation.
The datasets contain the following observation data and associated images:
- observations that are validated or identified to family, genus, species, or species group level
- those that have a location specified
- were recorded before the creation of the aggregation
- whose owners have set a free (Creative Commons) or public domain license
- were observed in their natural environment (not in a zoo, not in a terrarium, not imported in horticulture, ...) For protected species, they do not contain precise coordinates, these are randomly generated within the given ETC grid.

Export Observations
2. User Observations Export
You can export all recorded observations of a user using the 'Data Export' link found on the profile page.
The exported file can be downloaded in CSV format.

Example: Export of Cseke László's observations on the profile page
3. Export of User Observations Belonging to an Observation Group
You can export all recorded observations of a user belonging to an observation group using the 'Data Export' link found on the observation group page.
The exported file can be downloaded in CSV format.

Example: Export of Cseke László's observations on an observation group page
4. Export from the GBIF Platform
We also forward observations recorded on the izeltlabuak.hu platform to the GBIF platform. You can review and download the data using GBIF's own search engine.

Darwin Core Standard
Darwin Core is an international standard maintained by the Darwin Core Maintenance Group. The purpose of the standard is to facilitate the sharing of biological diversity information by providing identifiers, tags, and definitions.
Key Features
The Darwin Core standard uses a taxon-based approach that is primarily built on taxa and their natural occurrence. It provides standardized terminology for consistent data sharing and supports flexible formats (Simple Darwin Core, XML, RDF, Darwin Core Archive).
Use on the izeltlabuak.hu Platform
The izeltlabuak.hu platform uses the Darwin Core standard for data export, which provides international compatibility with other biodiversity platforms, standardized data structure in unified format, and automatic integration with GBIF and other global databases.
More information: Darwin Core Official Page
Summary
The export options enable widespread use of data recorded on the izeltlabuak.hu platform. The flexible export system supports scientific research, educational work, and efficient data management, while ensuring data quality and copyright protection.
