Inside An Effort To Put Millions Of Biological Specimens Online : Shots – Health News : NPR

“For scientists to pull out detailed information like that, however, they first have to know that a particular specimen even exists. In 2011, the National Science Foundation started handing out grants as part of a ten-year push to bring old-fashioned collections into the Internet age. One of the goals was to put specimen records online and into a searchable portal called iDigBio….

Now, as that program winds down, he and other experts are pondering what needs to happen over the next decade so that biological collections can continue to become more accessible. That’s why the NSF recently asked for some advice from an expert panel convened by the National Academies of Sciences, Engineering, and Medicine.

One of its recommendations was simple: create a national registry of all collections, so experts know who’s got plants, microbes, or animals of interest.

The U.S. is thought to possess about 1,800 natural history collections, which is about a third of those that exist worldwide. In addition, the country has at least 2,800 “living stock” collections, such as microbe collections, which continually maintain living organisms for research….”

An open access dataset for developing automated detectors of Antarctic baleen whale sounds and performance evaluation of two commonly used detectors | Scientific Reports

Abstract:  Since 2001, hundreds of thousands of hours of underwater acoustic recordings have been made throughout the Southern Ocean south of 60° S. Detailed analysis of the occurrence of marine mammal sounds in these circumpolar recordings could provide novel insights into their ecology, but manual inspection of the entirety of all recordings would be prohibitively time consuming and expensive. Automated signal processing methods have now developed to the point that they can be applied to these data in a cost-effective manner. However training and evaluating the efficacy of these automated signal processing methods still requires a representative annotated library of sounds to identify the true presence and absence of different sound types. This work presents such a library of annotated recordings for the purpose of training and evaluating automated detectors of Antarctic blue and fin whale calls. Creation of the library has focused on the annotation of a representative sample of recordings to ensure that automated algorithms can be developed and tested across a broad range of instruments, locations, environmental conditions, and years. To demonstrate the utility of the library, we characterise the performance of two automated detection algorithms that have been commonly used to detect stereotyped calls of blue and fin whales. The availability of this library will facilitate development of improved detectors for the acoustic presence of Southern Ocean blue and fin whales. It can also be expanded upon to facilitate standardization of subsequent analysis of spatiotemporal trends in call-density of these circumpolar species.

 

 

A database of zooplankton biomass in Australian marine waters – PubMed

Abstract:  Zooplankton biomass data have been collected in Australian waters since the 1930s, yet most datasets have been unavailable to the research community. We have searched archives, scanned the primary and grey literature, and contacted researchers, to collate 49187 records of marine zooplankton biomass from waters around Australia (0-60°S, 110-160°E). Many of these datasets are relatively small, but when combined, they provide >85 years of zooplankton biomass data for Australian waters from 1932 to the present. Data have been standardised and all available metadata included. We have lodged this dataset with the Australian Ocean Data Network, allowing full public access. The Australian Zooplankton Biomass Database will be valuable for global change studies, research assessing trophic linkages, and for initialising and assessing biogeochemical and ecosystem models of lower trophic levels.

 

ZooArchNet: Connecting zooarchaeological specimens to the biodiversity and archaeology data networks

Abstract:  Interdisciplinary collaborations and data sharing are essential to addressing the long history of human-environmental interactions underlying the modern biodiversity crisis. Such collaborations are increasingly facilitated by, and dependent upon, sharing open access data from a variety of disciplinary communities and data sources, including those within biology, paleontology, and archaeology. Significant advances in biodiversity open data sharing have focused on neontological and paleontological specimen records, making available over a billion records through the Global Biodiversity Information Facility. But to date, less effort has been placed on the integration of important archaeological sources of biodiversity, such as zooarchaeological specimens. Zooarchaeological specimens are rich with both biological and cultural heritage data documenting nearly all phases of human interaction with animals and the surrounding environment through time, filling a critical gap between paleontological and neontological sources of data within biodiversity networks. Here we describe technical advances for mobilizing zooarchaeological specimen-specific biological and cultural data. In particular, we demonstrate adaptations in the workflow used by biodiversity publisher VertNet to mobilize Darwin Core formatted zooarchaeological data to the GBIF network. We also show how a linked open data approach can be used to connect existing biodiversity publishing mechanisms with archaeoinformatics publishing mechanisms through collaboration with the Open Context platform. Examples of ZooArchNet published datasets are used to show the efficacy of creating this critically needed bridge between biological and archaeological sources of open access data. These technical advances and efforts to support data publication are placed in the larger context of ZooarchNet, a new project meant to build community around new approaches to interconnect zoorchaeological data and knowledge across disciplines.

Extending U.S. Biodiversity Collections to Promote Research and Education

“Our national heritage of approximately one billion biodiversity specimens, once digitized, can be linked to emerging digital data sources to form an information-rich network for exploring earth’s biota across taxonomic, temporal and spatial scales. A workshop held 30 October – 1 November 2018 at Oak Spring Garden in Upperville, VA under the leadership of the Biodiversity Collections Network (BCoN) developed a strategy for the next decade to maximize the value of our collections resource for research and education. In their deliberations, participants drew heavily on recent literature as well as surveys, and meetings and workshops held over the past year with the primary stakeholder community of collections professionals, researchers, and educators.

Arising from these deliberations is a vision to focus future biodiversity infrastructure and digital resources on building a network of extended specimen data that encompasses the depth and breadth of biodiversity specimens and data held in U.S. collections institutions. The extended specimen network (ESN) includes the physical voucher specimen curated and housed in a collection and its associated genetic, phenotypic and environmental data (both physical and digital). These core data types, selected because they are key to answering driving research questions, include physical preparations such as tissue samples and their derivative products such as gene sequences or metagenomes, digitized media and annotations, and taxon- or locality-specific data such as occurrence observations, phylogenies and species distributions. Existing voucher specimens will be extended both manually and through new automated methods, and data will be linked through unique identifiers, taxon name and location across collections, across disciplines and to outside sources of data. As we continue our documentation of earth’s biota, new collections will be enhanced from the outset, i.e., accessioned with a full suite of data. We envision the ESN proposed here will be the gold standard for the structured cloud of integrated data associated with all vouchered specimens. These permanent specimen vouchers, in which genotypes and phenotypes link to a particular environment in time and space, comprise an irreplaceable resource for the millennia….”

BCoN Report: Extending U.S. Biodiversity Collections to Promote Research and Education

The Biodiversity Collections Network has released its new report, Extending U.S. Biodiversity Collections to Promote Research and Education.  You are invited to download and share the summary brochure and to review the longer report that provides additional detail about this vision for the future. …”

Report urges massive digitization of museum collections | Science | AAAS

“The United States should launch an effort to create an all-encompassing database of the millions of stuffed, dried, and otherwise preserved plants, animals, and fossils in museums and other collections, a U.S. National Science Foundation (NSF)–sponsored white paper released today urges. The report, titled Extending U.S. Biodiversity Collections to Promote Research and Education, also calls for new approaches to cataloging digitized specimens and linking them to a range of other data about each organism and where it was collected. If the plan is carried out, “There will be [a] huge potential impact for the research community to do new types of research,” says NSF biology Program Director Reed Beaman in Alexandria, Virginia.

The effort could take decades and cost as much as half a billion dollars, however, and some researchers are worried the white paper will not win over policymakers. “I just wish that the report focused more on the potential benefits for noncollections communities,” says James Hanken, director of the Harvard Museum of Comparative Zoology in Cambridge, Massachusetts.

For the past 8 years, NSF has sponsored the $100 million, 10-year Advancing Digitization of Biodiversity Collections program, which has paid for nearly 62 million plant and animal specimens to be digitally photographed from multiple angles for specific research studies. New technology has greatly sped up the process. Already, researchers studying natural history and how species are related are reaping the benefits of easy access to a wealth of information previous locked in museums….”

Do not publish | Science

“Biologists have long valued publishing detailed information on rare and endangered species. Until relatively recently, much of this information was accessible only through accessing specialized scientific journals in university libraries. However, much of these data have been transferred online with the advent of digital platforms and a rapid push to open-access publication. Information is increasingly also available online in public reports and wildlife atlases, and research published behind paywalls can often be found in the public domain. Increased data and information accessibility has many benefits, such as helping to improve repeatability in scientific studies and enhancing collaboration (1, 2). However, such readily accessible information also creates major problems in the context of conserving endangered species….”

Scientists Keep Accidentally Doxxing Endangered Species – Vocativ

“Publishing information about the specific locations of endangered species helps scientists, but it’s also putting those same animals at risk. A team of researchers, writing in the journal Science, is sounding the alarm bell.

In the past, it was really only scientists who read scientific journals. They were physical copies, sent to a researcher’s mailbox or the library of an academic institution. So there wasn’t much risk to publishing the exact places where rare species lived — it helped others in the field learn more about these ephemeral creatures.

Today, the stakes are different. Journal articles new and old are published online, and the rise in open access journals make more information available to the public. In some fields of science, sharing data is considered a good thing. But in the study of endangered species, it sometimes does more harm than good….”