A5082113801- Species Distribution and Climate Change
- Research Data Management Practices
- Scientific Computing and Data Management
- Environmental DNA in Biodiversity Studies
- Genomics and Phylogenetic Studies
- Cell Image Analysis Techniques
- Botany, Ecology, and Taxonomy Studies
- Plant and animal studies
- Cocoa and Sweet Potato Agronomy
- Lepidoptera: Biology and Taxonomy
- Insect-Plant Interactions and Control
- Semantic Web and Ontologies
- Hemiptera Insect Studies
- Fossil Insects in Amber
- Big Data Technologies and Applications
- Ecology and Vegetation Dynamics Studies
- Distributed and Parallel Computing Systems
- Computational and Text Analysis Methods
- Insect and Arachnid Ecology and Behavior
- Plant Taxonomy and Phylogenetics
- Collembola Taxonomy and Ecology Studies
- Genetic diversity and population structure
- Genetics, Bioinformatics, and Biomedical Research
- Animal and Plant Science Education
- Plant Pathogens and Fungal Diseases
Natural History Museum
2015-2024
Muséum national d'Histoire naturelle
2019-2023
Royal Botanic Garden Edinburgh
2019-2023
Naturalis Biodiversity Center
2019-2023
Natural History Museum Aarhus
2023
Natural History Museum of Denmark
2023
University of Florence
2023
Meise Botanic Garden
2019-2023
Distributed System of Scientific Collections
2023
German Oceanographic Museum
2014-2022
Traditional approaches for digitizing natural history collections, which include both imaging and metadata capture, are labour- time-intensive. Mass-digitization can only be completed if the resource-intensive steps, such as specimen selection databasing of associated information, minimized. Digitization larger collections should employ an "industrial" approach, using principles automation crowd sourcing, with minimal initial collection including a mandatory persistent identifier. A new...
The world's natural history collections constitute an enormous evidence base for scientific research on the world. To facilitate these studies and improve access to collections, many organisations are embarking major programmes of digitization. This requires automated approaches mass-digitization that support rapid imaging specimens associated data capture, in order process tens millions common most collections. In this paper we present Inselect—a modular, easy-to-use, cross-platform suite...
Driven by changes to policies of governments and funding agencies, Open Access content data is quickly becoming the prevailing model in academic publishing. benefits scientists with greater dissemination citation their work, provides society as a whole access latest research. is, however, only one facet scholarly communication. Core scientific statements or assertions are intertwined hidden narratives, underlying these often obscured point that replication results impossible (Nature...
The Scratchpad Virtual Research Environment (http://scratchpads.eu/) is a flexible system for people to create their own research networks supporting natural history science. Here we describe Version 2 of the characterised by move Drupal 7 as core development framework and timed coincide with fifth year project's operation in late January 2012. reflects combination technical enhancements that make project more sustainable, combined new features intended functional easier use. A roadmap...
More and more herbaria are digitising their collections. Images of specimens made available online to facilitate access them allow extraction information from them. Transcription the data written on is critical for general discoverability enables incorporation into large aggregated research datasets. Different methods, such as crowdsourcing artificial intelligence, being developed optimise transcription, but herbarium pose difficulties in many reasons. To provide developers transcription...
The Natural History Museum, London (NHM) has embarked on an ambitious programme to digitise its collections. One aim of the been improve workflows and infrastructure needed support high-throughput digitisation create comprehensive digital inventories large scientific This paper presents workflow developed entire Phthiraptera (parasitic lice) microscope slide collection (70,663 slides). Here we describe a novel process semi-automated mass using both temporary permanent barcode labels applied...
The Natural History Museum, London has been creating digital data about collections for many years, with a formal Digital Collections Programme since 2014. Efforts to monitor the outcomes and impact of this work have focused on metrics access, such as download events, citations specimens measure use. Digitisation projects resulting research also used case studies, highlighting areas human health conservation. In 2021, Museum decided explore economic impacts in more depth, commissioned...
Abstract Natural history collections constitute an enormous wealth of information Life on Earth. It is estimated that over 2 billion specimens are preserved at institutions worldwide, which less than 10% accessible via biodiversity data aggregators such as GBIF. Moreover, they a very important resource for eco‐evolutionary research, greatly depends knowing the precise location where were collected in order to characterize environment lived. Yet, only about 55% records georeferenced and 31%...
This report reviews the current state-of-the-art applied approaches on automated tools, services and workflows for extracting information from images of natural history specimens their labels. We consider potential repurposing existing including workflow management systems; areas where more development is required. paper was written as part SYNTHESYS+ project software teams informatics working new software-based to improve mass digitisation specimens.
The superfamilies Cephoidea, Orussoidea, Pamphilioidea, Siricoidea, Tenthredinoidea, Xiphydrioidea and Xyeloidea are combined as one checklist section, the sawflies represent a distinctive assemblage of phytophagous (except Orussidae) Hymenoptera. More than fifty years have passed since publication final part Robert B. Benson’s three identification key to “Symphyta” British Isles (Benson 1935, Benson 1952, 1958). Whilst first two parts were based substantially on acute monography by Eduard...
European natural history collections are a critical infrastructure for meeting the most important challenge humans face over next 30 years – creating sustainable future ourselves and systems on which we depend answering fundamental scientific questions about ecological, evolutionary, geological processes. Since 2004 SYNTHESYS has been an essential instrument supporting this community, underpinning new ways to access exploit collections, harmonising policy providing significant insights...
Abstract A key limiting factor in organising and using information from physical specimens curated natural science collections is making that computable, with institutional digitization tending to focus more on imaging the themselves than efficiently capturing computable data about them. Label are traditionally manually transcribed today high cost low throughput, rendering such a task constrained for many collection-holding institutions at current funding levels. We show how computer vision,...
Abstract Determining when animal populations have experienced stress in the past is fundamental to understanding how risk factors drive contemporary and future species' responses environmental change. For insects, quantifying associating it with has been challenging due a paucity of time‐series data because detectable population‐level can show varying lag effects. One solution leverage historic entomological specimens detect morphological proxies at time stressors emerged, allowing us more...
The world’s natural history collections contain at least 2 billion specimens, representing a unique data source for answering fundamental scientific questions about ecological, evolutionary, and geological processes. Unlocking this treasure trove of data, stored in thousands museum drawers cabinets, is crucial to help map sustainable future ourselves the systems on which we depend. rate-limiting steps digitisation often involve specimen handling due their fragile nature. Insects comprise...
This checklist comprises parts of the larger of Hymenoptera British Isles; terms reference and methodology are explained in Broad (2014). Country level distribution records, as reported here, mainly taken from collections Natural History Museum, London (NHM), with additional sources cited. The Ceraphronoidea two extant families, Ceraphronidae Megaspilidae, represented by 28 64 valid species in Isles. Representatives families subfamilies shown in Fig. 11a,a, ,c,c, ,d. Thered. There has...
Abstract Taxonomy provides a universal method to classify biodiversity at different scales locally and globally. Currently, existing taxonomic treatments are scattered, limiting their accessibility utility. The Convention on Biological Diversity has responded this challenge by setting the goal of compiling World Flora Online (Global Strategy for Plant Conservation Target 1, 2011–2020). This can be done aggregating electronically available information provided each country, region or...
Abbreviations, rationale for species inclusion and additional information are given in the introductory article series. This is first a series of 13 checklist sections covering Hymenoptera British Isles. For each genus original combination list synonyms provided under heading 'nomenclature'. A corresponding up-to-date Evanioidea maintained on Isles site. Distribution data taken from Crosskey (1951), with references notes taxon. small superfamily three extant families, but particularly...
We describe an effective approach to automated text digitisation with respect natural history specimen labels. These labels contain much useful data about the including its collector, country of origin, and collection date. Our automatically extracting these takes form a pipeline. Recommendations are made for pipeline's component parts based on state-of-the-art technologies. Optical Character Recognition (OCR) can be used digitise images specimens. However, recognising quickly accurately...
We compare different approaches to transcribing natural history data and summarise the advantages disadvantages of each approach using six case studies from four collections. main cost considerations when planning a transcription project discuss limitations we current have in understanding costs behind quality.
The Distributed System of Scientific Collections (DiSSCo) is a new world-class Research Infrastructure (RI) for Natural Science Collections. DiSSCo RI aims to create business model one European collection that digitally unifies all natural science assets under common access, curation, policies and practices ensure the data easily Findable, Accessible, Interoperable Reusable (FAIR principles). represents largest ever formal agreement between history museums, botanic gardens collection-holding...
The Distributed System of Scientific Collections (DiSSCo) is a pan-European Research Infrastructure (RI) initiative. DiSSCo aims to bring together natural science collections from 175 museums, botanical gardens, universities and research institutes across 23 countries in distributed infrastructure that makes these physically digitally open accessible for all forms innovation. RI entered the ESFRI roadmap 2018 successfully concluded its Preparatory Phase early 2023. now transitioning towards...
Abstract Semantic segmentation has been proposed as a tool to accelerate the processing of natural history collection images. However, developing flexible and resilient network requires an approach for adaptation which allows different datasets with minimal training validation. This paper presents cross-validation designed determine whether semantic possesses flexibility required application across collections institutions. Consequently, specific objectives cross-validating are (a) evaluate...
Background A revised checklist of the British and Irish Chalcidoidea Mymarommatoidea substantially updates previous comprehensive checklist, dating from 1978. Country level data (i.e. occurrence in England, Scotland, Wales, Ireland Isle Man) is reported where known. New information total 1754 species represents a 22% increase on number known
The digitising efforts of herbaria aim to increase access and impact scientific collections, by making the data digitally accessible global community. Digitising NHMUK's botanical collection around 5.1 million specimens is an ongoing process, but majority type collections have already been imaged. Chinese has also transcribed; however, during recent georeferencing we realised that much had transcribed incorrectly, particularly locality information in which 80% contained errors. We discovered...