Welcome to the Long-term Individual based Time Series (LITS) project data repository. This repository contains information about the datasets of long-term individual-based time-series collected by researchers based within the UK. The LITS project is a sister project to CPB's Global Population Dynamics Database (GPDD), which contains several thousand population-level time series across a huge range of taxa.
Credit for the datasets held in the LITS project repository goes to the investigator(s) who collected the data. See each data package for details. In addition to basic metadata we are also seeking to provide public access to entire databases at this site. Details of these can be found here, and more will be added soon.
The LITS Project is run by a small team based jointly between the University of Cambridge and the NERC Centre for Population Biology at Imperial College London. It also has a steering group to aid in decision making and other aspects of the work.
Search/browse the LITS data catalogue
The ecological community in the UK has a long tradition of collecting long-term individual-based time series (LITS) data on vertebrates, but some of these data may be at risk of being lost to the research community as the people who collected them retire or die. These data are particularly costly and labour intensive to collect, but are extremely valuable as they allow detailed investigation of a range of subjects in population biology to be addressed including ecological and evolutionary responses to global environmental change.
This repository is where data and metadata from the UK's long-term individual based projects will be placed.
In the longer-term, in collaboration with the relevant data holders, data judged to be at risk will be rescued to provide a resource for interested researchers. It is thought that only a limited number of LITS require urgent attention. Please contact us if you have any data in need of rescue!
This is a work in progress, please contact us if you know of any other datasets we should add to the database, or if you wish to provide any further information on the datasets already listed.
Full datasets available
The most straightforward way that data documentation (metadata) can be contributed to the repository is by emailing the database administrator, Owen Jones (email@example.com), for a simple form to fill in about the data you wish to submit. Alternatively you can use the Morpho software application, which is fully compatible with this repository, to submit data yourself. Before connecting to our server you must tell Morpho where to connect to. To do this click File>Set Preferences and change the Metacat URL to "http://lits.bio.ic.ac.uk:8080/litsproject/metacat". This will require that you register at the Knowledge Network for Biocomplexity (KNB), which provides us with a user authentication service.
This page was last updated on June 21, 2010 13:26 by Owen Jones