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The impact of preserved museum specimens is transforming and increasing by three-dimensional (3D) imaging that creates high-fidelity online digital specimens. Through examples from the openVertebrate (oVert) Thematic Collections Network, we describe how we created a digitization community dedicated to the shared vision of making 3D data of specimens available and the impact of these data on a broad audience of scientists, students, teachers, artists, and more. High-fidelity digital 3D models allow people from multiple communities to simultaneously access and use scientific specimens. Based on our multiyear, multi-institution project, we identify significant technological and social hurdles that remain for fully realizing the potential impact of digital 3D specimens.

Introduction: Historic museum collections hold a wealth of biodiversity data that are essential to our understanding of the rapidly changing natural world. Novel curatorial practices are needed to extract and digitise these data, especially for the innumerable pinned insects whose collecting information is held on small labels. Methods: We piloted semi-automated specimen imaging and digitisation of specimen labels for a collection of ~29,000 pinned insects of ground beetles (Carabidae: Lebiinae) held at the Natural History Museum, London. Raw transcription data were curated against literature sources and non-digital collection records. The primary data were subjected to statistical analyses to infer trends in collection activities and descriptive taxonomy over the past two centuries. Results: This work produced research-ready digitised records for 2,546 species (40% of known species of Lebiinae). Label information was available on geography in 91% of identified specimens, and the time of collection in 39.8% of specimens and could be approximated for nearly all specimens. Label data revealed the great age of this collection (average age 91.4 years) and the peak period of specimen acquisition between 1880 and 1930, with little differences among continents. Specimen acquisition declined greatly after about 1950. Early detected species generally were present in numerous specimens but were missing records from recent decades, while more recently acquired species (after 1950) were represented mostly by singleton specimens only. The slowing collection growth was mirrored by the decreasing rate of species description, which was affected by huge time lags of several decades to formal description after the initial specimen acquisition. Discussion: Historic label information provides a unique resource for assessing the state of biodiversity backwards to pre-industrial times. Many species held in historical collections especially from tropical super-diverse areas may not be discovered ever again, and if they do, their recognition requires access to digital resources and more complete levels of species description. A final challenge is to link the historical specimens to contemporary collections that are mostly conducted with mechanical trapping of specimens and DNA-based species recognition. [ABSTRACT FROM AUTHOR]

Natural history specimens are a widely used and valuable resource for conservation, ecology, and evolutionary biology. One might assume that these collections are representative of natural populations, but recent work has suggested that many collections have disproportionately more male than female specimens. Here, we investigate sex ratios in > 5 000 000 amphibian and reptile specimen records from global natural history collections. We found a slight bias towards males in amphibians (39% females) and reptiles (47% females), but this varied among orders and families. Body size, sexual size dimorphism, and year of collection had little effect. Strikingly however, > 95% of herpetology specimen records had no sex data associated with them at all, even from recent collections. This lack of sex data substantially limits the utility of herpetological museum collections in many ways. We propose that enhanced efforts to train taxonomic specialists and support their careers would unlock the potential of sex-based research using museum collections and their associated public databases. [ABSTRACT FROM AUTHOR]

Natural history collections worldwide house billions of specimens, representing one of the most globally important biobanks. In recent years, the advent of next‐generation sequencing has significantly reduced the challenges of obtaining considerable genetic information from historical museum specimens. Crickets in the Australian tribe Eurepini Robillard are a good example of a taxon in which such museomic data have particularly strong potential to advance systematic knowledge, because comprehensive sampling requires decades of work over a very wide area. The tribe currently comprises 64 described species in five genera. Previous studies conflict in the generic relationships inferred for this tribe, all of which are poorly resolved, being based on limited data and sampling. In addition, there has so far been no systematic research for this tribe with extensive taxon sampling, and therefore, the consequence for genus boundaries remains to be investigated. To investigate phylogenetic relationships within Eurepini, we first applied the genome skimming approach to obtain molecular data from a comprehensive sample of Eurepini museum specimens. Of the 69 specimens sampled representing 61 described species, mainly including holotype specimens, we obtained 50 complete and 11 partially complete mitogenomes. Three nuclear genes (H3, 18S, and 28S) were also partially recovered for nearly all of these specimens. Phylogenetic analyses performed with mitogenomes plus three nuclear genes using maximum likelihood and Bayesian inference generated well‐supported and highly congruent topologies. Eurepini was strongly recovered monophyletic with eight well‐defined groups. These groups are used to revise the systematics of the tribe based on a combination of molecular phylogenetics and morphology. The phylogenetic results support the current definition of three genera (Eurepa Walker, Arilpa Otte & Alexander and Eurepella Otte & Alexander), lead us to redefine three genera (Salmanites Chopard, Napieria Baehr and Piestodactylus Saussure), and define and describe two new genera: Miripella Robillard, Tan & Su gen.nov. and Arrakis Robillard, Tan & Su gen.nov. Our results reinforce the importance of natural history collections as a repository for information on biodiversity and genetics, and provide the first comprehensive and robust phylogenetic framework for future systematic and evolutionary studies of Eurepini. [ABSTRACT FROM AUTHOR]

Societal Impact Statement: Native medicinal plants contribute essential health benefits to populations globally, constituting a major natural resource that human societies rely on. Being an integral part of terrestrial biodiversity, medicinal plants are detrimentally affected by ongoing climate and land‐use change, yet comprehensive studies on the risk that extinction will pose to medicinal biodiversity are lacking. Responding to ongoing scientific calls for conserving medicinal biodiversity, this study provides an integrated assessment of the impacts of environmental change on ironwort (Sideritis), a group of closely related endemic plants of great cultural significance as local medicinal resources in the Balkan Mountains. Summary: Mountain habitats harbour unique biodiversity and provide vital resources for human well‐being, including natural medicinal resources, yet they are amongst the environments most impacted by global change. While there is ample evidence of recent rapid climate and land‐use change on mountain ecosystems, the impacts of these processes on the habitats of culturally important medicinal plants are still poorly understood. Here, we assess the potential loss of mountain habitats for medicinal plant resources over the past four decades using the culturally important ironwort, a group of endemic medicinal plants of the Balkan Mountains extensively used by local human populations and the pharmaceutical industry for treating cough and cold and gastrointestinal disorders.We used information collected from major European natural history museums to guide extensive field campaigns across 15 separate mountain ranges. We integrate field data with thousands of satellite images, station‐validated climate reanalysis data and habitat suitability modelling. We finally used machine learning to assess the relative roles of climate and vegetation rates of change in driving rates of habitat suitability change.We show that rising temperatures and 'mountain greening' erode the habitats of ironwort at alarming rates. About 50% of the total habitat area across all considered mountain ranges shows a significant decline in habitat suitability.These past trends will most likely continue in the future and could lead to widespread local extinction of the species and other medicinal plants that share similar ecological preferences, threatening their future contributions to societal well‐being. [ABSTRACT FROM AUTHOR]

Amateur naturalists and natural history societies are abundant throughout the UK, and indeed throughout the globe, and have intimate relationships with the museum sector. Importantly, amateur naturalists and natural history societies often possess expertise in fields underserved by museums, such as taxonomy or the local history of natural history. The amateur naturalist, in the context of the museum, is simultaneously volunteer and expert and this dichotomy can lead to tension in the naturalist‐museum professional relationship. The rise of mass‐participation citizen science and digitization projects are likely to further enflame this tension as naturalists can feel marginalized as their identifier of "volunteer" subsumes that of "expert." This paper recommends best practice when working with amateur naturalists and natural history societies. It examines the different value systems and priorities broadly held by museum professionals and naturalists, with a particular focus on digitization. This paper also suggests how the museum field can work toward more equitable knowledge building and sharing practices when working with naturalists and other expert‐volunteers. In particular, it puts forward the concept of messy databases as a way to meaningfully engage with volunteer‐experts. [ABSTRACT FROM AUTHOR]

Societal Impact Statement Native medicinal plants contribute essential health benefits to populations globally, constituting a major natural resource that human societies rely on. Being an integral part of terrestrial biodiversity, medicinal plants are detrimentally affected by ongoing climate and land‐use change, yet comprehensive studies on the risk that extinction will pose to medicinal biodiversity are lacking. Responding to ongoing scientific calls for conserving medicinal biodiversity, this study provides an integrated assessment of the impacts of environmental change on ironwort (Sideritis), a group of closely related endemic plants of great cultural significance as local medicinal resources in the Balkan Mountains. Summary Mountain habitats harbour unique biodiversity and provide vital resources for human well‐being, including natural medicinal resources, yet they are amongst the environments most impacted by global change. While there is ample evidence of recent rapid climate and land‐use change on mountain ecosystems, the impacts of these processes on the habitats of culturally important medicinal plants are still poorly understood. Here, we assess the potential loss of mountain habitats for medicinal plant resources over the past four decades using the culturally important ironwort, a group of endemic medicinal plants of the Balkan Mountains extensively used by local human populations and the pharmaceutical industry for treating cough and cold and gastrointestinal disorders. We used information collected from major European natural history museums to guide extensive field campaigns across 15 separate mountain ranges. We integrate field data with thousands of satellite images, station‐validated climate reanalysis data and habitat suitability modelling. We finally used machine learning to assess the relative roles of climate and vegetation rates of change in driving rates of habitat suitability change. We show that rising temperatures and ‘mountain greening’ erode the habitats of ironwort at alarming rates. About 50% of the total habitat area across all considered mountain ranges shows a significant decline in habitat suitability. These past trends will most likely continue in the future and could lead to widespread local extinction of the species and other medicinal plants that share similar ecological preferences, threatening their future contributions to societal well‐being.

The current knowledge on insects feeding on fruits is limited, and some of the scarce existing data on the fruit‐associated insects are secluded within the host institutions. Consequently, their value is not fully realized. Moreover, in countries like Kenya, the integration of biocollections data within a digital framework has not been fully exploited. To address these gaps, this article presents a description of the development of a web‐based platform for data sharing and integrating biodiversity historical data of wild plants, fruits, associated insects, and their molecular barcodes (WiPFIM) while leveraging data science technologies. The barcodes corresponding to the biocollections data were retrieved from BOLD database. The platform is an online resource about fruit–insect interactions that can be of interest to a worldwide community of users and can be useful in building innovative tools. The platform is accessible online at https://test‐dmmg.icipe.org/wpfhi. [ABSTRACT FROM AUTHOR]

Natural history collections preserve invaluable taxidermy specimens, which are prone to light-induced degradation, compromising their historical and educational significance. Restoration of these specimens to their original appearance through chromatic reintegration is imperative. The principle of reversibility mandates interventions that are modifiable or reversible without harming the original work, thereby preserving authenticity and enabling future conservation efforts. This study aims to identify the most suitable product for chromatic reintegration of a mammal taxidermy specimen, evaluate its fidelity to the original population, and assess its imperceptibility to the general public during exhibitions. Various products underwent rigorous evaluation for colouration, drying time, coverage, reversibility, safety, and resistance to light degradation. Accelerated aging tests using the Xenotest were conducted to simulate long-term light exposure. A beech marten taxidermy specimen was restored with the chosen dye, and its colour was compared against skins from the original population of the species. Public perception tests were conducted to gauge the ability of people to detect the chromatic restoration during exhibitions. Orasol® dye emerged as the optimal choice for chromatic reintegration, meeting criteria for colouration, reversibility, coverage, and resistance to light degradation. Despite its toxicity for aquatic organisms, it demonstrated promising results. Most colour measurements closely matched the original beech marten population, with minor hue deviations. Public perception tests confirmed the imperceptibility of the chromatic restoration, indicating its suitability for exhibition and educational purposes. This study highlights the importance of authenticity and imperceptibility in restoration processes, emphasizing the need for meticulous consideration of budget constraints in museum settings. [ABSTRACT FROM AUTHOR]

Conservation museomics is an emerging approach in conservation science that utilizes high-dimensional data sets derived from natural history collections to understand how biodiversity responds to environmental change and its relationship to human well-being. This approach combines novel technology and interdisciplinary expertise in museums and other collections to address key challenges in conservation science and practice. Conservation museomics also emphasizes the importance of collaboration, participatory research frameworks, and the integration of museums' public-facing nature to engage the public, form partnerships, and educate. It has the potential to enhance the understanding of species interactions, historical community structures, and the impacts of environmental changes on species. Additionally, conservation museomics can contribute to the study of historical pathogen genomes and interactions, as well as boost the dimensionality of existing methods for monitoring and measuring biodiversity. However, it is important for conservation museomics to be interdisciplinary, inclusive, and respectful of Indigenous Peoples' rights and wishes in order to broaden its scope and contribute to the conservation of biodiversity and human well-being. [Extracted from the article]

Phytophthora infestans (Peronosporaceae, Oomycota) is the causal agent of late blight of potato (Solanum tuberosum) and a native to Central America. When introduced to Europe, it rapidly spread in 1845, triggering the Irish Potato Famine, which claimed millions of lives and led to an exodus of Europeans to North America. The spread of the species was recently traced using historical specimens from various herbaria. However, there are critical spatial and temporal gaps in the documentation of the early spread of the species. Within the framework of a digitalization and restoration project of the mid-nineteenth century fungus collections of the herbarium of the State Museum of Natural History Karlsruhe, several specimens of Phytophthora infestans from North-East Germany collected in 1853, 1855 and 1856 were discovered. In addition, we revised already deposited material and identified a specimen of Ph. infestans that was collected no later than 1852. These specimens are among the oldest from Central Europe and are now available to the scientific public. Further, we searched for thus far overlooked specimens, using online catalogues. We found specimens from 23 European countries, with the oldest material from western Europe and almost no data from eastern Europe, south-eastern Europe and southern Europe. Our results emphasize the need for archiving and digitizing natural history collections in order to document the historical spread of agricultural and forest pathogens and to better understand current-day epidemic spreads. [ABSTRACT FROM AUTHOR]

Herbaria are an important source of data and material useful in many fields, including plant conservation. Seeds preserved in herbarium specimens may have the potential to germinate, although few studies focused on this topic. Here, the first systematic assessment of six techniques, including priming techniques and melatonin application, aimed at improving the germination of seeds from herbarium specimens is presented. Seed germination of 26 species common in Europe, some of which congeneric to extinct species, collected in herbaria and in the wild (20,549 seeds in total, including 19,509 from 297 herbarium specimens from 8 different herbaria) was tested with the following treatments: exogenous melatonin addition to the germination medium, priming with melatonin, osmopriming, hydropriming for 24 and 48 hours, standard soil, heat sterilization and gibberellins addition. More than 85% of the fresh seeds and 1% of the seeds collected in herbaria germinated, including seeds older than 50 years. Data show that treatment with exogenous melatonin had a positive effect on the germination of fresh seeds, but a negative effect on the germination of herbarium‐derived seeds. Furthermore, osmopriming treatment had a slightly positive effect on the germination of herbarium‐derived seeds. Osmopriming and exogenous melatonin addition seem to be promising techniques that need further investigation and improvement and might be useful for the development of an optimal germination protocol for old and herbarium‐derived seeds. The germination of seeds from herbaria could be an important tool in plant conservation, with the aim of reversing the extinction trend of many species through de‐extinction, safeguarding biodiversity, and genetic variability. This study provides preliminary data for the development of germination protocols, especially for old seeds of species of conservation interest, to maximise the chance of recovering lost genetic diversity and leading to the first de‐extinction ever. [ABSTRACT FROM AUTHOR]

We created and delivered a workshop and symposium series for biologists at all career stages focused on the skills and practices needed to sustain natural history specimen attribution and citation. The name of the workshop and symposium series, SISRIS, reflected our ultimate goal of effecting community-level change by sharing skills and practices that can support inclusive and sustainable (collections-based) research infrastructure for systematics. We report here the rationale for SISRIS, its learning objectives for participants and its results, including the assessment of outcomes from three iterations of the workshop held in 2023. The SISRIS workshops and symposia were held in person at the annual meeting of the Association for Southeastern Biologists in Winston-Salem, North Carolina and Botany 2023 in Boise, Idaho. A stand-alone SISRIS workshop was held online later to accommodate individuals who were unable to travel to the in-person events. [ABSTRACT FROM AUTHOR]

Linked open data on collection agents contribute to increased discoverability, accessibility and transparency of natural history collections. Despite major efforts to digitise and open up museum and university object collections, related information is often stored in internal resources. This paper describes a project conducted at the Museum für Naturkunde Berlin (MfN) contributing to its collection disclosure and development initiatives. Information on historical collectors and other collection agents was transferred from the internal MfN collector wiki to Wikidata. For a total of 600 collection agents, existing Wikidata items were enriched or new items created. Special emphasis was put on linking these people to the Museum, to document their affiliation with the MfN, its collection and its archive. Within the project, an open participatory approach was taken. Several Wikidata edit-a-thons were organised to test this collaborative and innovative format for possible future application by the Museum. By opening up institutional silos and openly sharing data on agents connected to museum holdings, these data become more widely accessible and reusable, for example, as a resource for transdisciplinary provenance research. [ABSTRACT FROM AUTHOR]

Premise: Species distribution models (SDMs) are widely utilized to guide conservation decisions. The complexity of available data and SDM methodologies necessitates considerations of how data are chosen and processed for modeling to enhance model accuracy and support biological interpretations and ecological applications. Methods: We built SDMs for the invasive aquatic plant European frog‐bit using aggregated and field data that span multiple scales, data sources, and data types. We tested how model results were affected by five modeler decision points: the exclusion of (1) missing and (2) correlated data and the (3) scale (large‐scale aggregated data or systematic field data), (4) source (specimens or observations), and (5) type (presence‐background or presence‐absence) of occurrence data. Results: Decisions about the exclusion of missing and correlated data, as well as the scale and type of occurrence data, significantly affected metrics of model performance. The source and type of occurrence data led to differences in the importance of specific explanatory variables as drivers of species distribution and predicted probability of suitable habitat. Discussion: Our findings relative to European frog‐bit illustrate how specific data selection and processing decisions can influence the outcomes and interpretation of SDMs. Data‐centric protocols that incorporate data exploration into model building can help ensure models are reproducible and can be accurately interpreted in light of biological questions. [ABSTRACT FROM AUTHOR]

Dioecy has evolved many times independently within the angiosperms. The distribution, frequency of occurrence, and floral morphology of dioecious angiosperms constitute the foundations for comparative studies of dioecy, yet for many groups they are still poorly characterized. We assessed species of Miconia for the presence of a dioecious reproductive system, characterized the floral morphology for staminate and pistillate flowers, and used herbarium records to analyze patterns of distribution and elevational range. We find that dioecious Miconia represent an uncommon case of a mismatched stage of organ abortion between staminate and pistillate flowers, with functionally pistillate flower morphology being largely consistent across species and morphological expression in functionally staminate flowers varying from near-absent gynoecia to slight reductions in gynoecia. We identify 60 dioecious species and 15 putatively dioecious species within Miconia that are distributed primarily in montane habitats between 1000 and 3500 m in the Andes, parts of Central America, and the Caribbean. Our results double the last known count of dioecy in Miconia and highlight the gradient of vestigial morphology in staminate flowers. Last, we provide discussion on the significance of dioecy in relation to floral development, pollination, and ecology in Miconia. [ABSTRACT FROM AUTHOR]

IntroductionHistoric museum collections hold a wealth of biodiversity data that are essential to our understanding of the rapidly changing natural world. Novel curatorial practices are needed to extract and digitise these data, especially for the innumerable pinned insects whose collecting information is held on small labels.MethodsWe piloted semi-automated specimen imaging and digitisation of specimen labels for a collection of ~29,000 pinned insects of ground beetles (Carabidae: Lebiinae) held at the Natural History Museum, London. Raw transcription data were curated against literature sources and non-digital collection records. The primary data were subjected to statistical analyses to infer trends in collection activities and descriptive taxonomy over the past two centuries.ResultsThis work produced research-ready digitised records for 2,546 species (40% of known species of Lebiinae). Label information was available on geography in 91% of identified specimens, and the time of collection in 39.8% of specimens and could be approximated for nearly all specimens. Label data revealed the great age of this collection (average age 91.4 years) and the peak period of specimen acquisition between 1880 and 1930, with little differences among continents. Specimen acquisition declined greatly after about 1950. Early detected species generally were present in numerous specimens but were missing records from recent decades, while more recently acquired species (after 1950) were represented mostly by singleton specimens only. The slowing collection growth was mirrored by the decreasing rate of species description, which was affected by huge time lags of several decades to formal description after the initial specimen acquisition.DiscussionHistoric label information provides a unique resource for assessing the state of biodiversity backwards to pre-industrial times. Many species held in historical collections especially from tropical super-diverse areas may not be discovered ever again, and if they do, their recognition requires access to digital resources and more complete levels of species description. A final challenge is to link the historical specimens to contemporary collections that are mostly conducted with mechanical trapping of specimens and DNA-based species recognition.

There have been few, if any, open data and information management policies openly published from natural science collections. This paper contextualises the rationale for publishing the Open Information and Exceptions Policy of the Natural History Museum, London and provides the policy itself. The policy outlines how the Natural History Museum puts the principle of 'open by default' into practice; and includes sections on purpose and scope, relationship to relevant legislation (which always takes precedence over the policy), the categories of possible exceptions to open information release, what happens when exceptions are declared, relations to UK government information security classifications and definition of terms.

There have been few, if any, open data and information management policies openly published from natural science collections. This paper contextualises the rationale for publishing the Open Information and Exceptions Policy of the Natural History Museum, London and provides the policy itself. The policy outlines how the Natural History Museum puts the principle of 'open by default' into practice; and includes sections on purpose and scope, relationship to relevant legislation (which always takes precedence over the policy), the categories of possible exceptions to open information release, what happens when exceptions are declared, relations to UK government information security classifications and definition of terms. [ABSTRACT FROM AUTHOR]

Population‐level, historical studies can provide insights on the distribution, abundance and demographic characteristics of imperiled species prior to human exploitation, habitat modification or climate change. These studies provide a baseline for contemporary data, which often shape successful management and recovery.The smalltooth sawfish (Pristis pectinata) occupies ~20% of its historical range due to declines driven primarily by mortalities in fisheries and coastal habitat loss over the last century. As a result, they are listed as Critically Endangered on the International Union for Conservation of Nature (IUCN) Red List of Threatened Species and as Endangered federally in the United States (U.S.).Because P. pectinata grow to a large size and have a toothed rostrum, many historical photographs and specimens are archived in natural history collections. Metadata and morphometric data were collected and analysed from P. pectinata photographs (n = 84) and specimens (n = 429) to evaluate temporal changes in average size and historical distribution of five age classes in U.S. waters.Historically, smaller age classes were well‐distributed throughout the northern Gulf of Mexico, while only larger age classes were recorded on the U.S. east coast, north of Florida. All age classes were found in both Florida and Texas historically, but records from Texas decline after the 1980s and remain persistent in Florida, indicative of a strong‐hold for the U.S. population. Regardless of origin, individuals in three of the five age classes were larger on average historically than those observed today.Understanding which age classes used previously occupied areas will help direct habitat restoration efforts and support recovery, especially in the face of climate change. Non‐traditional data sources, such as those used here, may often be the only means of providing historical context to modern research on imperiled species, ultimately guiding restoration and conservation efforts. [ABSTRACT FROM AUTHOR]

We present two different typologies of legal/contractual information in the context of natural history objects: the Biodiversity Permit/Contract Typology categorises permits and contracts, and the Typology of Legal/Contractual Terms for Biodiversity Specimens categorises the terms within permits and contracts. The Typologies have been developed under the EU-funded SYNTHESYS+ project with the participation of experts from outside the consortium. The document further addresses a possible technical integration of these typologies into the Distributed System of Scientific Collections (DiSSCo). The implementation in the DiSSCo data model is outlined and a concrete use case is presented to show how conditions, e.g. the Typology of Legal/Contractual Terms, can be introduced into the DiSSCo Electronic Loans and Visits System (ElViS). Finally, we give an outlook on the next steps to develop the typologies into a standard that supports compliance with legal and contractual obligations within the wider community of natural science collections. [ABSTRACT FROM AUTHOR]

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 a distributed infrastructure that makes these collections physically and digitally open and accessible for all forms of research and innovation. DiSSCo RI entered the ESFRI roadmap in 2018 and successfully concluded its Preparatory Phase in early 2023. The RI is now transitioning towards the constitution of its legal entity (an ERIC) and the start of its scaled-up construction (implementation) programme. This publication is an abridged version of the successful grant proposal for the DiSSCo Transition Project which has the goal of ensuring the seamless transition of the DiSSCo RI from its Preparatory Phase to the Construction Phase (expected to start in 2025). In this transition period, the Project will address five objectives building on the outcomes of the Preparatory Phase project: 1) Advance the DiSSCo ERIC process and complete its policy framework, ensuring the smooth early-phase Implementation of DISSCo; 2) Engage & support DiSSCo National Nodes to strengthen national commitments; 3) Advance the development of core e-services to avoid the accumulation of technical debt before the start of the Implementation Phase; 4) Continue international collaboration on standards & best practices needed for the DiSSCo service provision; and 5) Continue supporting DiSSCo RI interim governance bodies and transition them to the DiSSCo ERIC formal governance. The Project's impact will be measured against the increase in the RI's overall Implementation Readiness Level (IRL). More specifically, we will monitor its impact towards reaching the required level of maturity in four of the five dimensions of the IRL that can benefit from further developments. These include the organisational, financial, technological and data readiness levels. [ABSTRACT FROM AUTHOR]

Premise: Among the slowest steps in the digitization of natural history collections is converting imaged labels into digital text. We present here a working solution to overcome this long‐recognized efficiency bottleneck that leverages synergies between community science efforts and machine learning approaches. Methods: We present two new semi‐automated services. The first detects and classifies typewritten, handwritten, or mixed labels from herbarium sheets. The second uses a workflow tuned for specimen labels to label text using optical character recognition (OCR). The label finder and classifier was built via humans‐in‐the‐loop processes that utilize the community science Notes from Nature platform to develop training and validation data sets to feed into a machine learning pipeline. Results: Our results showcase a >93% success rate for finding and classifying main labels. The OCR pipeline optimizes pre‐processing, multiple OCR engines, and post‐processing steps, including an alignment approach borrowed from molecular systematics. This pipeline yields >4‐fold reductions in errors compared to off‐the‐shelf open‐source solutions. The OCR workflow also allows human validation using a custom Notes from Nature tool. Discussion: Our work showcases a usable set of tools for herbarium digitization including a custom‐built web application that is freely accessible. Further work to better integrate these services into existing toolkits can support broad community use. [ABSTRACT FROM AUTHOR]

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The article presents the contributions of Benedykt Dybowski to the natural history of Steller's sea cow - a marine mammal species, that had become extinct in the 18th c. Dybowski's impact is highlighted in his iconic discoveries concerning the biology of this species. Namely, he revealed and described the sexual dimorphism of the Steller's sea cow and was the first to propose the climatic hypothesis concerning its extinction. Furthermore, Dybowski sent the largest number of skulls and bones representing this species to European museums in the 19th c. Today, these artifacts are deposited in seven museums in five countries (England, Ukraine, Poland, Austria, and Monaco). Unfortunately, specimens sent to Polish scientific institutions were looted or destroyed during both world wars. Sources examined in the present paper picture Dybowski as a prominent zoologist who worked within an international network of other outstanding specialists of that time - especially Władysław Taczanowski of the Warsaw Zoological Cabinet. The documents analyzed here shed new light on the work of naturalists and museum workers, revealing behind-the-scenes complexities of purchasing scarce and valuable zoological specimens. [ABSTRACT FROM AUTHOR]

Abstract The current knowledge on insects feeding on fruits is limited, and some of the scarce existing data on the fruit‐associated insects are secluded within the host institutions. Consequently, their value is not fully realized. Moreover, in countries like Kenya, the integration of biocollections data within a digital framework has not been fully exploited. To address these gaps, this article presents a description of the development of a web‐based platform for data sharing and integrating biodiversity historical data of wild plants, fruits, associated insects, and their molecular barcodes (WiPFIM) while leveraging data science technologies. The barcodes corresponding to the biocollections data were retrieved from BOLD database. The platform is an online resource about fruit–insect interactions that can be of interest to a worldwide community of users and can be useful in building innovative tools. The platform is accessible online at https://test‐dmmg.icipe.org/wpfhi.

Abstract Premise Species distribution models (SDMs) are widely utilized to guide conservation decisions. The complexity of available data and SDM methodologies necessitates considerations of how data are chosen and processed for modeling to enhance model accuracy and support biological interpretations and ecological applications. Methods We built SDMs for the invasive aquatic plant European frog‐bit using aggregated and field data that span multiple scales, data sources, and data types. We tested how model results were affected by five modeler decision points: the exclusion of (1) missing and (2) correlated data and the (3) scale (large‐scale aggregated data or systematic field data), (4) source (specimens or observations), and (5) type (presence‐background or presence‐absence) of occurrence data. Results Decisions about the exclusion of missing and correlated data, as well as the scale and type of occurrence data, significantly affected metrics of model performance. The source and type of occurrence data led to differences in the importance of specific explanatory variables as drivers of species distribution and predicted probability of suitable habitat. Discussion Our findings relative to European frog‐bit illustrate how specific data selection and processing decisions can influence the outcomes and interpretation of SDMs. Data‐centric protocols that incorporate data exploration into model building can help ensure models are reproducible and can be accurately interpreted in light of biological questions.

UK natural science collections hold over 137 million items, an unrivalled source of data about 4.56 billion years of planetary development and hundreds of years of biological change, including the differences made by humans — but the scientific, commercial, and societal benefits of these collections are constrained by the limits of physical access, and by highly fragmented digitisation efforts with less than 10% digitally available. Following work with Frontier Economics in 2021, which showed potential for £2 billion in benefits to the UK economy from digitising all UK natural science collections, in 2022–23 the Natural History Museum London worked, with analytical support from McKinsey and Company, to understand the impact of what has already been digitised and shared by UK natural science collections — what is the demand for these data, what are they used for, and how does this deliver efficient, effective and impactful research?This study focuses on usage via the Global Biodiversity Information Facility, the largest source of relevant usage data, examining 7.6 million records from twelve UK institutions. While these UK collections data are just 0.3% of total GBIF occurrences, they are cited in 12% of peer reviewed publications citing GBIF data, showing the disproportionate impact of UK collections data and the historical, geographical, and taxonomic richness that they bring. Researchers have already benefited from more than £18 million of efficiency savings from digital UK specimen data. Data from natural science collections held in the UK are uniquely impactful resources, vital to a future in which people and planet thrive, and a step change in the pace of digitisation is needed to unlock their potential for researchers, policymakers, and society.

This article explores the use of large language models (LLMs), specifically ChatGPT, in transcribing herbarium specimen labels. It acknowledges the resource and staffing shortages faced by natural history collections and discusses the potential of LLMs to automate the time-consuming process of transcribing and validating label content. The article highlights the need for careful engineering of prompts to achieve accurate results and outlines strategies for managing the unpredictable nature of LLM outputs. It also addresses concerns such as biases, potential misuse, data privacy, job losses, and copyright issues. The authors emphasize the importance of collaboration and invite researchers and institutions to join the Specimen Label Transcription Project (SLTP) for efficient label transcription. They conclude by emphasizing the potential of LLMs to reshape traditional curatorial processes and address the backlog of specimens awaiting digitization. [Extracted from the article]

As a highly decentralised research infrastructure, the Distributed System of Scientific Collections (DiSSCo) will need to develop cross-institutional teams, adopting work practices where individual staff are intensively working collectively on common tasks in a distributed environment. These flexible and distributed working practices will be essential to the delivery of the research infrastructure across a wide range of delivery partners and a geographically dispersed set of scarce resources and skills, particularly in more technical roles. Since work to consider secondment and distributed working in DiSSCo was first envisaged, there has been a step change in distributed working owing to the Covid-19 pandemic and lockdowns or other restrictions to where work could take place. This report examines distributed team working practices and how they have changed, through interviews with a range of key roles across DiSSCo Prepare institutions. It briefly examines key project management and technical team delivery techniques. It documents how some of these approaches have been piloted within DiSSCo Prepare for the development, testing and delivery of DiSSCo Policy and Digital Maturity tools. Finally, bringing this together with previous work on secondment policies and practices for DiSSCo, we make recommendations about how secondment and distributed team working can be approached to enhance DiSSCo capabilities and the likelihood of successful implementation of the research infrastructure. [ABSTRACT FROM AUTHOR]

There are approximately 1.5 billion specimens kept in European Natural History Collections. The mission for the Distributed System of Scientific Collections (DiSSCo) is to unite all these specimens into a one-stop e-science infrastructure of digital specimens. This is a monumental digitisation task and criteria for how to prioritise this effort are, therefore, crucial for the success of the project. In this report, we have reviewed the literature and designed and conducted surveys of the digitisation plans and criteria used by DiSSCo Partners to understand the prioritisation criteria used in the digitisation of natural history collections. As an attempt to provide some guidance for the digitisation of specimens, we suggest that an organisation (e.g. DiSSCo or an individual institution) that is planning to digitise natural history collections considers four categories of prioritisation criteria: Relevance, Data quality, Cost and Feasibility. [ABSTRACT FROM AUTHOR]

The Distributed System of Scientific Collections (DiSSCo) is a new world-class Research Infrastructure (RI) for Natural Science Collections. The DiSSCo RI aims to create a new business model for one European collection that digitally unifies all European natural science assets under common access, curation, policies and practices that ensure that all the data is easily Findable, Accessible, Interoperable and Reusable (FAIR principles). DiSSCo represents the largest ever formal agreement between natural history museums, botanic gardens and collection-holding institutions in the world. DiSSCo entered the European Roadmap for Research Infrastructures in 2018 and launched its main preparatory phase project (DiSSCo Prepare) in 2020. DiSSCo Prepare is the primary vehicle through which DiSSCo reaches the overall maturity necessary for its construction and eventual operation. DiSSCo Prepare raises DiSSCo's implementation readiness level (IRL) across the five dimensions: technical, scientific, data, organisational and financial. Each dimension of implementation readiness is separately addressed by specific Work Packages (WP) with distinct targets, actions and tasks that will deliver DiSSCo's Construction Masterplan. This comprehensive and integrated Masterplan will be the product of the outputs of all of its content related tasks and will be the project's final output. It will serve as the blueprint for construction of the DiSSCo RI, including establishing it as a legal entity. DiSSCo Prepare builds on the successful completion of DiSSCo's design study, ICEDIG and the outcomes of other DiSSCo-linked projects such as SYNTHESYS+ and MOBILISE. This paper is an abridged version of the original DiSSCo Prepare grant proposal. It contains the overarching scientific case for DiSSCo Prepare, alongside a description of our major activities. [ABSTRACT FROM AUTHOR]

UK natural science collections hold over 137 million items, an unrivalled source of data about 4.56 billion years of planetary development and hundreds of years of biological change, including the differences made by humans -- but the scientific, commercial, and societal benefits of these collections are constrained by the limits of physical access, and by highly fragmented digitisation efforts with less than 10% digitally available. Following work with Frontier Economics in 2021, which showed potential for £2 billion in benefits to the UK economy from digitising all UK natural science collections, in 2022-23 the Natural History Museum London worked, with analytical support from McKinsey and Company, to understand the impact of what has already been digitised and shared by UK natural science collections -- what is the demand for these data, what are they used for, and how does this deliver efficient, effective and impactful research? This study focuses on usage via the Global Biodiversity Information Facility, the largest source of relevant usage data, examining 7.6 million records from twelve UK institutions. While these UK collections data are just 0.3% of total GBIF occurrences, they are cited in 12% of peer reviewed publications citing GBIF data, showing the disproportionate impact of UK collections data and the historical, geographical, and taxonomic richness that they bring. Researchers have already benefited from more than £18 million of efficiency savings from digital UK specimen data. Data from natural science collections held in the UK are uniquely impactful resources, vital to a future in which people and planet thrive, and a step change in the pace of digitisation is needed to unlock their potential for researchers, policymakers, and society. [ABSTRACT FROM AUTHOR]

Microplastic pollution has risen to such a level that concerns are being raised regarding its consequences on the environment, especially the marine environment. Understanding microplastic pollution temporal dynamics is critical but requires time-series. However, concerns about microplastic pollution being recent, long term monitoring programs have only started very recently and remain scarce. Natural History Collections that represent archives from the past can constitute time-series. Although underused, they have evinced their success to study various stressors including pollutants, in particular when using bioindicators. Bioindicator species should be defined with regards to the studied environmental disturbance according to established criteria. Those criteria include occurring frequently, being sensitive to the pollutant, and allowing, via their monitoring, a summary of the pollutant’s impacts at molecular, organismal or population levels. However, to analyse bioindicator species in Natural History Collection time-series, several specificities need to be considered. Starting from a review of articles that utilised such collections to study microplastic evolution in a given ecosystem, and focusing on their methodologies, we emphasise Natural History Collection features that need to be taken into account when choosing the most adequate taxon and extraction techniques. In particular we discuss four collection features: sampling heterogeneity, taxonomic misidentification, past environmental contamination and specimen destruction and provide leads to address these issues. We believe that combining the concept of bioindicator with valuable samples from Natural History Collections is of particular interest to monitor past microplastic pollution and better predict future trends. This constitutes a necessary step in assessing the basal level and the continuing evolution of this ever-increasing pollution.

Abstract Natural History Collections (NHCs) represent the world’s largest repositories of long-term biodiversity datasets. Specimen collection and voucher deposition has been the backbone of NHCs since their inception, but recent decades have seen a drastic decline in rates of growth via active collecting. Amphibians and reptiles are amongst the most threatened zoological groups on the planet and are historically underrepresented in most worldwide NHCs. As part of an ongoing project to review the Portuguese zoological collections in the country’s NHCs, herpetological data from its three major museums and smaller collections was gathered and used to examine the coverage and representation of the different taxa extant in Portugal. These collections are not taxonomically, geographically, or temporally complete. Approximately 90% of the Portuguese herpetological taxa are represented in the country’s NHCs, and around half of the taxa are represented by less than 50 specimens. Geographically, the collections cover less than 30% of the country’s territory and almost all of the occurring taxa have less than 10% of their known distribution represented in the collections. A discussion on the implications for science of such incomplete collections and a review of the current status of Portuguese NHCs is presented.

Abstract Premise Among the slowest steps in the digitization of natural history collections is converting imaged labels into digital text. We present here a working solution to overcome this long‐recognized efficiency bottleneck that leverages synergies between community science efforts and machine learning approaches. Methods We present two new semi‐automated services. The first detects and classifies typewritten, handwritten, or mixed labels from herbarium sheets. The second uses a workflow tuned for specimen labels to label text using optical character recognition (OCR). The label finder and classifier was built via humans‐in‐the‐loop processes that utilize the community science Notes from Nature platform to develop training and validation data sets to feed into a machine learning pipeline. Results Our results showcase a >93% success rate for finding and classifying main labels. The OCR pipeline optimizes pre‐processing, multiple OCR engines, and post‐processing steps, including an alignment approach borrowed from molecular systematics. This pipeline yields >4‐fold reductions in errors compared to off‐the‐shelf open‐source solutions. The OCR workflow also allows human validation using a custom Notes from Nature tool. Discussion Our work showcases a usable set of tools for herbarium digitization including a custom‐built web application that is freely accessible. Further work to better integrate these services into existing toolkits can support broad community use.

Las abejas son fundamentales para nuestra seguridad alimentaria y la polinización de las plantas silvestres y cultivadas. Sin embargo, algunas poblaciones y especies están en riesgo de desaparecer. Nuestro conocimiento de los factores que causan estas disminuciones es limitado, en parte porque carecemos de datos suficientes sobre la distribución de las especies que nos sirvan para predecir cambios en su rango geográfico bajo escenarios de cambio climático. Además, carecemos de datos adecuados sobre las características morfológicas y comportamentales que podrían influir en la vulnerabilidad de las abejas a los cambios ambientales inducidos por el hombre, como la pérdida de hábitat y el cambio climático. Afortunadamente, se puede extraer una gran cantidad de información a partir de los especímenes depositados en colecciones entomológicas. Acá presentamos este proyecto, el cual incluye 13 instituciones y es financiado por la Fundación Nacional de Ciencias de los EE. UU. (NSF, por sus siglas en Ingles). En el transcurso de tres años, crearemos más de un millón de imágenes (2D y 3D) de alta resolución de especímenes de abejas que representan alrededor de 1⁄4 de la diversidad mundial. También desarrollaremos herramientas para medir los rasgos de las abejas a partir de las imágenes. La información generada estará disponible a través de un portal de datos abierto Symbiota-Light llamado Bee Library. Además, los datos de interacción biótica y asociación de especies se compartirán a través de Global Biotic Interactions. Presented by Victor Hugo Gonzalez at the XII Congreso Mesoamericano de Abejas Nativas, Centro de Investigaciones Apícolas Tropicales (CINAT), Universidad Nacional, Costa Rica, Nov. 20-21, 2021

The macroalgae collection of the UC Santa Barbara (UCSB) Herbarium has been utilized as a resource by students and researchers at UCSB. In order to increase the scientific value of the collection, we have initiated a digitization project to add to a growing data set being assembled by a consortium of seaweed herbaria. Collectively, these data can be used to address questions of changing climate, ocean currents, invasive species, and biodiversity along the Pacific Coast of North America. Our IMLS-funded digitization project is focused on digitizing ca. 10,000 specimens in our Pacific Coast of North America collection. Our digital data are currently available on two Symbiota-based web portals: The Consortium of California Herbaria 2 and the Macroalgal Herbarium Portal. Our data are also aggregated and shared worldwide through the Global Biodiversity Information Facility (GBIF). Our digitization project is not only creating high-quality public data, but also is providing ample opportunities for learning about algae and the activities associated with curation in a natural history museum. USCB students, interns, and volunteers gain hands-on experience with our collections, seaweed identification, and phycological special events. The history and scientific insight that herbaria can tell argue for the importance of their preservation and for the continued need for new field collections. Reimagining these collections to present them to a wider audience increases the kinds of voices in science and the types of questions that can be asked about our changing world.

The Distributed System of Scientific Collections (DiSSCo) is a new world-class Research Infrastructure (RI) for Natural Science Collections. The DiSSCo RI aims to create a new business model for one European collection that digitally unifies all European natural science assets under common access, curation, policies and practices that ensure that all the data is easily Findable, Accessible, Interoperable and Reusable (FAIR principles). DiSSCo represents the largest ever formal agreement between natural history museums, botanic gardens and collection-holding institutions in the world.DiSSCo entered the European Roadmap for Research Infrastructures in 2018 and launched its main preparatory phase project (DiSSCo Prepare) in 2020. DiSSCo Prepare is the primary vehicle through which DiSSCo reaches the overall maturity necessary for its construction and eventual operation. DiSSCo Prepare raises DiSSCo’s implementation readiness level (IRL) across the five dimensions: technical, scientific, data, organisational and financial. Each dimension of implementation readiness is separately addressed by specific Work Packages (WP) with distinct targets, actions and tasks that will deliver DiSSCo’s Construction Masterplan. This comprehensive and integrated Masterplan will be the product of the outputs of all of its content related tasks and will be the project’s final output. It will serve as the blueprint for construction of the DiSSCo RI, including establishing it as a legal entity.DiSSCo Prepare builds on the successful completion of DiSSCo’s design study, ICEDIG and the outcomes of other DiSSCo-linked projects such as SYNTHESYS+ and MOBILISE.This paper is an abridged version of the original DiSSCo Prepare grant proposal. It contains the overarching scientific case for DiSSCo Prepare, alongside a description of our major activities.

Biological collections are a fundamental tool both for scientific research and the conservation of biological diversity, which gives them a great scientific and cultural relevance. They allow the study of biodiversity and the analysis of evolutionary processes, as well as the identification and classification of species, essential aspects for making informed decisions regarding conservation. In addition to their scientific value, biological collections have an important cultural and heritage value for the country. We focused on providing a list of the biological collections present in Chile, the public and/or private institutions to which they belong, those that have been published in the literature and those that use the Global Biodiversity Information Facility (GBIF). The information was obtained by consulting curators, literature, and web pages. A total of 166 collections were registered of which 18 universities, 10 Natural History Museums, and 7 Research Centers are repositories. The University of Concepción harbors the largest number of biological collections (25), followed by the University of Chile (23), and the National Museum of Natural History (18). At regional level, the Metropolitan region presents 48 collections, Biobío region 34, and Valparaíso region 29. A fundamental issue in the biological collections of Chile is the lack of financing to maintain their infrastructure and qualified staff and the absence of public access databases was discussed. Additionally, most of the collections surveyed did not have accessible digital information.

Premise: Previous experimental studies have shown that poison ivy (Toxicodendron radicans; Anacardicaceae) responds to elevated CO2 with increased leaf production, water‐use efficiency, and toxicity (allergenic urushiol). However, long‐term field data suggest no increase in poison ivy abundance over time. Using herbarium specimens, we examined whether poison ivy and other species shifted leaf traits under natural conditions with increasing atmospheric CO2 (pCO2) over the past century. Methods: We measured stomatal density, leaf area, leaf N, leaf C:N, leaf carbon isotope discrimination (Δleaf), and intrinsic water‐use efficiency (iWUE) from 327 specimens collected from 1838 to 2020 across Pennsylvania. We compared poison ivy's responses to two evolutionarily related tree species, Toxicodendron vernix and Rhus typhina (Anacardiacae) and one ecological analog, Parthenocissus quinquefolia (Vitaceae), a common co‐occurring liana. Results: Stomatal density significantly decreased (P < 0.05) in poison ivy and the ecologically similar liana P. quinquefolia over the past century, but did not change in the related trees T. vernix and R. typhina. None of these species showed significant trends in changes in leaf N or C:N. Surprisingly, in poison ivy, but not the other species, Δleaf increased with increased pCO2, corresponding to significant declines in iWUE over time. Conclusions: In contrast to the results of short‐term experimental studies, iWUE decreased in poison ivy over the last century. Trait responses to pCO2 varied by species. Herbarium specimens suggest that realized long‐term plant physiological responses to increased CO2 may not be reflected in short‐term experimental growth studies, highlighting the value of collections. [ABSTRACT FROM AUTHOR]

Museum specimens collected prior to cryogenic tissue storage are increasingly being used as genetic resources, and though high‐throughput sequencing is becoming more cost‐efficient, whole genome sequencing (WGS) of historical DNA (hDNA) remains inefficient and costly due to its short fragment sizes and high loads of exogenous DNA, among other factors. It is also unclear how sequencing efficiency is influenced by DNA sources. We aimed to identify the most efficient method and DNA source for collecting WGS data from avian museum specimens. We analyzed low‐coverage WGS from 60 DNA libraries prepared from four American Robin (Turdus migratorius) and four Abyssinian Thrush (Turdus abyssinicus) specimens collected in the 1920s. We compared DNA source (toepad versus incision‐line skin clip) and three library preparation methods: (1) double‐stranded DNA (dsDNA), single tube (KAPA); (2) single‐stranded DNA (ssDNA), multi‐tube (IDT); and (3) ssDNA, single tube (Claret Bioscience). We found that the ssDNA, multi‐tube method resulted in significantly greater endogenous DNA content, average read length, and sequencing efficiency than the other tested methods. We also tested whether a predigestion step reduced exogenous DNA in libraries from one specimen per species and found promising results that warrant further study. The ~10% increase in average sequencing efficiency of the best‐performing method over a commonly implemented dsDNA library preparation method has the potential to significantly increase WGS coverage of hDNA from bird specimens. Future work should evaluate the threshold for specimen age at which these results hold and how the combination of library preparation method and DNA source influence WGS in other taxa. [ABSTRACT FROM AUTHOR]

To avoid the worst outcomes of the current biodiversity crisis we need a deep understanding of population responses to human-induced ecological change. Rapidly expanding access to genomic resources for nonmodel taxa promises to play a unique role in meeting this goal. In particular, the increasing feasibility of sequencing DNA from historical specimens enables direct measures of population responses to the past century of anthropogenic change that will inform management strategies and refine projections of species responses to future environmental change. In this review, we discuss the methods that can be used to generate genome-scale data from the hundreds of millions of specimens housed in natural history collections around the world. We then highlight recent studies that utilize genomic data from specimens to address questions of fundamental importance to biodiversity conservation. Finally, we emphasize how traditional motivations of museum collectors, such as studies of geographic variation and community-wide inventories, provide unique opportunities for broad scale comparisons of genomic responses to anthropogenic change across time. We conclude that as sequencing technologies become increasingly accessible and more researchers take advantage of this resource, the importance of collections to the conservation of biodiversity will continue to grow. [ABSTRACT FROM AUTHOR]

Machine learning (ML) can accelerate the extraction of phenological data from herbarium specimens; however, no studies have assessed whether ML-derived phenological data can be used reliably to evaluate ecological patterns. In this study, 709 herbarium specimens representing a widespread annual herb, Streptanthus tortuosus, were scored both manually by human observers and by a mask R-CNN object detection model to (1) evaluate the concordance between ML and manually-derived phenological data and (2) determine whether ML-derived data can be used to reliably assess phenological patterns. The ML model generally underestimated the number of reproductive structures present on each specimen; however, when these counts were used to provide a quantitative estimate of the phenological stage of plants on a given sheet (i.e., the phenological index or PI), the ML and manually-derived PI's were highly concordant. Moreover, herbarium specimen age had no effect on the estimated PI of a given sheet. Finally, including ML-derived PIs as predictor variables in phenological models produced estimates of the phenological sensitivity of this species to climate, temporal shifts in flowering time, and the rate of phenological progression that are indistinguishable from those produced by models based on data provided by human observers. This study demonstrates that phenological data extracted using machine learning can be used reliably to estimate the phenological stage of herbarium specimens and to detect phenological patterns.

Abstract Specimen‐based data have played a central role in documenting body‐size shifts as a possible response to global warming over the last century. Identification of the drivers and patterns of these trends requires comparisons across taxa, often through meta‐analyses; however, a lack of repeatability within and interoperability (i.e. the potential for a dataset to be augmented for future research) among published studies is a major obstacle. We reviewed published studies on mammal body‐size changes in the Anthropocene, focusing on those that used museum specimens to analyse body‐size trends over time in at least one species. We assessed these papers for repeatability and interoperability with the following criteria: raw data and specimen identifiers were published and accessible, measurements were unambiguously defined, and potential sex‐ and age‐based size differences among individuals were accounted for. Most published body‐size studies have low potential for replication or augmentation; only one of 27 met all of our criteria. Although these 27 papers collectively generated an estimated 51,790 new body‐size measurements, only 1.25% (649) could be repeated or readily used in further investigations, as the remainder did not include raw data and/or specimen identifiers. Based on these findings, we recommend the following best practices in the study of body‐size trends. First, authors should explicitly define and justify all measures of size and quantify measurement error and publish all data, including measurements and specimen catalogue numbers. In addition to complying with the fundamental scientific tenet of repeatability, this minimizes redundant handling and the concomitant risk of damage to irreplaceable and often fragile museum specimens. Second, authors should test and account for the effects of demography, as some dimensions can change throughout an individual's life. Adopting these practices will improve the quality of body‐size studies, enhance the utility of extended specimen data from natural history collections, and enable researchers to conduct more expansive investigations of size trends over time.

Abstract The widespread digitization of natural history collections, combined with novel tools and approaches is revolutionizing biodiversity science. The ‘extended specimen’ concept advocates a more holistic approach in which a specimen is framed as a diverse stream of interconnected data. Herbarium specimens that by their very nature capture multispecies relationships, such as certain parasites, fungi and lichens, hold great potential to provide a broader and more integrative view of the ecology and evolution of symbiotic interactions. This particularly applies to parasite–host associations, which owing to their interconnectedness are especially vulnerable to global environmental change. Here, we present an overview of how parasitic flowering plants is represented in herbarium collections. We then discuss the variety of data that can be gathered from parasitic plant specimens, and how they can be used to understand global change impacts at multiple scales. Finally, we review best practices for sampling parasitic plants in the field, and subsequently preparing and digitizing these specimens. Plant parasitism has evolved 12 times within angiosperms, and similar to other plant taxa, herbarium collections represent the foundation for analysing key aspects of their ecology and evolution. Yet these collections hold far greater potential. Data and metadata obtained from parasitic plant specimens can inform analyses of co‐distribution patterns, changes in eco‐physiology and species plasticity spanning temporal and spatial scales, chemical ecology of tripartite interactions (e.g. host–parasite–herbivore), and molecular data critical for species conservation. Moreover, owing to the historic nature and sheer size of global herbarium collections, these data provide the spatiotemporal breadth essential for investigating organismal response to global change. Parasitic plant specimens are primed to serve as ideal examples of extended specimen concept and help motivate the next generation of creative and impactful collection‐based science. Continued digitization efforts and improved curatorial practices will contribute to opening these specimens to a broader audience, allowing integrative research spanning multiple domains and offering novel opportunities for education.

Abstract Museum specimens collected prior to cryogenic tissue storage are increasingly being used as genetic resources, and though high‐throughput sequencing is becoming more cost‐efficient, whole genome sequencing (WGS) of historical DNA (hDNA) remains inefficient and costly due to its short fragment sizes and high loads of exogenous DNA, among other factors. It is also unclear how sequencing efficiency is influenced by DNA sources. We aimed to identify the most efficient method and DNA source for collecting WGS data from avian museum specimens. We analyzed low‐coverage WGS from 60 DNA libraries prepared from four American Robin (Turdus migratorius) and four Abyssinian Thrush (Turdus abyssinicus) specimens collected in the 1920s. We compared DNA source (toepad versus incision‐line skin clip) and three library preparation methods: (1) double‐stranded DNA (dsDNA), single tube (KAPA); (2) single‐stranded DNA (ssDNA), multi‐tube (IDT); and (3) ssDNA, single tube (Claret Bioscience). We found that the ssDNA, multi‐tube method resulted in significantly greater endogenous DNA content, average read length, and sequencing efficiency than the other tested methods. We also tested whether a predigestion step reduced exogenous DNA in libraries from one specimen per species and found promising results that warrant further study. The ~10% increase in average sequencing efficiency of the best‐performing method over a commonly implemented dsDNA library preparation method has the potential to significantly increase WGS coverage of hDNA from bird specimens. Future work should evaluate the threshold for specimen age at which these results hold and how the combination of library preparation method and DNA source influence WGS in other taxa.

A new species of Nomada Scopoli, 1770 very close to Nomada barcelonensis Cockerell, 1917 is described. The specimens are those formerly labelled as Nomada excellens var. montarcoi by Dusmet, a taxon that was never described even as a variety. [ABSTRACT FROM AUTHOR]

Several species of lady(bird) beetles have been purposefully and inadvertently introduced for more than 100 years in the Hawaiian Archipelago. Here, we report new state records for two lady beetle species in Hawai'i, 20 new island records associated with 14 lady beetle species, and prey information associated with eight records. The update includes new geographic distribution records from five of the eight main islands and the Northwestern Islands of the Hawaiian Archipelago. New state records are reported for Delphastus pallidus LeConte, 1878 and Novius pumilus (Weise, 1892) in Hawai'i. New island records are reported for Brumoides suturalis (Fabricius, 1798); Cycloneda sanguinea sanguinea Linnaeus, 1763; Diomus roseicollis (Mulsant, 1853); Hyperaspis connectens (Thunberg, 1808); Hyperaspis silvestrii Weise, 1909; Nephaspis bicolor Gordon, 1982; Nephus roepkei (Fluiter, 1938); Psyllobora vigintimaculata (Say, 1824); Rhyzobius lophanthae (Blaisdell, 1892); Scymnobius bilucernarius (Mulsant, 1850); Scymnus (Pullus) latemaculatus Motschulsky, 1858; Serangium maculigerum Blackburn, 1892; an undetermined Pharoscymnus sp. previously recorded in Hawai'i; and an undetermined Sticholotis sp. previously reported from Hawai'i. We report Laos as a new country record for the Sticholotis sp. Prey records are documented in Hawai'i that include Tetraleurodes acaciae (Quaintance, 1900) for D. pallidus; Aleurodicus dispersus Russell, 1965 for S. maculigerum; Bemisia argentifolii Bellows & Perring 1994 and Metaleurodicus cardini (Back, 1912) for N. bicolor; Aleurotrachelus trachoides (Back, 1912) for N. indus and D. roseicollis; Aonidiella orientalis for R. lophanthae; and Aphis nerii Boyer de Fonscolombe, 1841 for S. latemaculatus. The new records demonstrate the value of ongoing sampling and regular examination of undetermined collections. [ABSTRACT FROM AUTHOR]