The latest added resources from the GBIF Online Resource Centre
Updated: 2 min 52 sec ago
A tool based on MS Access to manage data associated to camera trap images.
In 2014 and as part of the execution of GBIF Work Programme 2014-2016, the Secretariat carried out a review of all the documentation available to key audiences within the GBIF community. That analysis included the identification of relevant gaps, with the intention of covering them in future annual cycles. This document summarizes the process and includes a list of those documentation gaps.
This presentation lists the responsibilities of the main representative of a Participant in GBIF: the Head of the Participant delegation on the GBIF Governing Board.
GBIF staff and partners discuss the key need for the Integrated Publishing Toolkit (IPT), how it developed in response to community input, and how it continues to evolve to streamline and enhance the interoperability, discoverability and mobilization of new data types beyond basic Darwin Core records. Conclusion outlines the impact of the IPT on the biodiversity research community, highlights how it enhances data publishing in more traditional journal venues, and describes both new features implemented in the latest version and plans for future enhancements.
This section of GBIF.org presents a series of analysis of the global dataset that is available through the GBIF network in the form of graphics. Up to 26 different views in 6 different categories are included at present.
The Frequently Asked Questions section of GBIF.org gives answers the most common doubts and problems encountered by the main audiences of GBIF while interacting with the site or the organization.
The Gaia Guide initiative offers access to field guides and species descriptions from its website but also through android and iOS mobile applications. The information about the location of species is obtained from other initiatives such as Atlas of Living Australia, WORMs or ITIS (GBIF to be included soon). Users can also contribute to the guides with new information.
The authors of this paper discuss the concept of the data papers as a mechanism to promote the publishing of biodiversity data using open networks such as GBIF.
Anne-Sophie Archambeau from GBIF France presented an overview about potential biodiversity data use cases during the global training event for GBIF Nodes associated to the 20th meeting of the GBIF Governing Board. The full curriculum for the course is available at http://community.gbif.org/pg/groups/36124/gb20-training-course/.
Patricia Koleff from CONABIO in Mexico presented key biodiversity data use cases in scientific and policy arenas during the global training event for GBIF Nodes associated to the 20th meeting of the GBIF Governing Board. The full curriculum for the course is available at http://community.gbif.org/pg/groups/36124/gb20-training-course/.
This section of the GBIF.org site lists the current relevant partnerships and affiliations of GBIF at the global level.
The GBIF annual science review compiles peer-reviewed research papers from the year that make use of data published through GBIF’s global infrastructure. To illustrate the range of applications, the publication also summarizes some papers that made substantial use of GBIF-mediated data or reflect areas of special interest for the scientific and policy communities.
The GBIF Secretariat maintains an ongoing programme to monitor and compile these studies, categorizing them according to the thematic area of research, use of data, discussion and mention of GBIF. This edition of the Science Review identifies research relating to a wide range of policy areas and disciplines including: invasive alien species; impacts of climate change; species conservation and protected areas; biodiversity and human health; food, farming and biofuels; ecosystem services; and ecology, biogeography and evolutionary studies.
The section on GBIF.org about capacity enhancement includes information about the multiple activities that the GBIF network carries out around capacity, especially those with an international component. It also includes information about former GBIF programmes such as the Mentoring Programme or the Regional Training Support Programme.
GBIF global website GBIF.org hosts a set of pages for each of GBIF’s Participants. In these pages, you can find detailed information about the biodiversity data published from and about the Participant, contact information for its official representatives, and lists of new items and scientific journal articles where the Participant was involved.
These pages are a mechanism to highlight the work carried out by the countries and international organizations that participate in GBIF.
The BioVeL portal allows the analysis of data using scientific workflows. It includes specific workflows focused on data quality assessment and refinement and also on ecological niche modelling.
IUCN Red List of Threatened Species, the global authority on the extinction risk faced by the world's species, now includes occurrence records served through GBIF in its mapping tool, to complement its expert range maps. Click on 'observations' on the map for any species to see the evidence of its occurrence available through GBIF.
Map of Life is an online resource for mapping, monitoring and analysing biodiversity worldwide. It brings together all types of information about species distributions, providing model-based integration and providing a system for users to build upon existing knowledge. All species occurrence records served through GBIF are among the various data layers included in this project.
iMarine, an initiative co-funded by the European Commission in collaboration with the UN Food and Agriculture Organization (FAO), supports the ecosystem approach to fisheries management and the conservation of living marine resources. It uses the D4Science e-infrastructure to share data, software and computing capacity, with GBIF an important source of biodiversity data.
This video shows how to use the GenGIS function to automatically query and download biodiversity occurrence data using the GBIF network.