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Data indexed by GloBI is generously provided by researchers and collections openly sharing their datasets. When using this data, please make sure to attribute the original data contributors, including citing the specific datasets in derivative work. Each record indexed by GloBI contains a reference and dataset citation. Also, please consider to contribute to improve access to existing species interaction data.

Species interaction datasets indexed by GloBI can be accessed in various ways. For most, this website and its pages may be helpful to poke around the data. Other projects like Encyclopedia of Life, and Ecosystem Explorer present GloBI data in a human readable format.

Exploratory, interactive queries can be executed through GloBI Search/Browse pages, or by using the REST-y GloBI Web API. For those that use R, rglobi is available to explore interaction data.

For research or other data intensive project, please use GloBI's stable versioned integrated data published via doi:10.5281/zenodo.3950589 or, perhaps even better, consider using the original underlying datasets. Please see the process page to better understand how GloBI integrates data so that you can make an informed decision on what data to use for your studies. These data products also include a neo4j archive as well as a rdf/nquads if you'd like to load GloBI data into your own graph/triple store.

If you feel adventurous and would like to have the most recent data, you can use provided instable snapshots.

Data Schema and Definitions

You can find information related to the schema and definitions of field names for both the API and downloadable products. The definitions are in various formats including Java source code, JSON and CSV. The documentation may be incomplete or outdated so we welcome questions and comments via opening an issue.

Interaction Data Indexes

Table below is available as tab-separated values table via data.tsv.

{% assign products = site.data.data | sort: "id" -%}

data description
{% for product in products -%}
{% assign stable = product.url_stable strip -%}
{% if stable and stable.size == 0 -%}
[{{ product.name }}]({{ product.url_snapshot }})
stable / [snapshot]({{ product.url_snapshot }})		 {{ product.description }}
{% else -%}
[{{ product.name }}]({{ product.url_stable }})
[stable]({{ product.url_stable }}) / [snapshot]({{ product.url_snapshot }})		 {{ product.description }}
{% endif -%}
{% endfor -%}
sqlite, the most used database engine in the world. create a sqlite3 database using:
```cat interactions.csv.gz

If you'd like to better understand how the above integrated data products came about, please visit the Data Integration Process page. Also, see the Accessing Species Interaction Data wiki page for additional information about data access methods.

In case the provided methods to access species interactions data do not quite suit your needs, please open an issue or contact the author(s) of doi:10.1016/j.ecoinf.2014.08.005.