Critic's Choice Essay: Virtual Herbaria Come of Age
(First paragraph of article.) These are exciting times for natural history collections. An international effort is underway to make images and data of biological specimens available in electronic format via digitization. These initiatives are an effort to bring natural history collections out of the dark of museum and herbarium cabinets and into the light of public access for use by stakeholders in government, academia, biodiversity organizations, business, and K-12 education. The democratization of information contained in natural history collections through images and online databases is an important new development to better investigate our natural world and solve important social and environmental problems (Scoble 2010).
The US Virtual Herbarium: working with individual herbaria to build a national resource
Abstract The goal of the US Virtual Herbarium (USVH) project is to digitize (database, image, georeference) all specimens in all US herbaria, enabling them to be made available through a single portal. Herbaria house specimens of plants, fungi, and algae, so USVH will offer a rich portrait of biodiversity in the US and in the other countries represented in US herbaria. Equally importantly, working towards this goal will engage people with herbaria and the organisms they house, expanding their appreciation of both the power of biodiversity informatics and the demands that it places on data providers while developing improved communication among those working in and with herbaria. The project is not funded but has strong support among those working in herbaria. It works through regional herbarium networks, some of which existed prior to the USVH project, while others are still in gestation. It differs from most digitization projects in its emphasis on helping those involved with herbaria become part of a national enterprise, an aspect that is seen as critical to creating the resources needed to develop and sustain the project. In this paper, we present some of the lessons we have learned and the difficulties we have encountered during the first few years of the project.
Fast seismic data compression based on high-efficiency SPIHT
Based on the set positioning in hierarchical tree (SPIHT) algorithm, fast seismic data compression based on the high-efficiency SPIHT (HESPIHT) algorithm is presented. To verify the validity of the algorithm, 10 seismic cross-sections are selected for the experiment. The result shows that the algorithm can reserve the quality of data better, meanwhile improving the efficiency of encoding and decoding.