The need for open, reproducible science is of growing concern in the twenty-first century, with multiple initiatives like the widely supported FAIR principles advocating for data to be Findable, Accessible, Interoperable and Reusable. Plant ecological and evolutionary studies are not exempt from the need to ensure that the data upon which their findings are based are accessible and allow for replication in accordance with the FAIR principles. However, it is common that the collection and curation of herbarium specimens, a foundational aspect of studies involving plants, is neglected by authors. Without publicly available specimens, huge numbers of studies that rely on the field identification of plants are fundamentally not reproducible. We argue that the collection and public availability of herbarium specimens is not only good botanical practice but is also fundamental in ensuring that plant ecological and evolutionary studies are replicable, and thus scientifically sound. Data repositories that adhere to the FAIR principles must make sure that the original data are traceable to and re-examinable at their empirical source. In order to secure replicability, and adherence to the FAIR principles, substantial changes need to be brought about to restore the practice of collecting and curating specimens, to educate students of their importance, and to properly fund the herbaria which house them.
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http://dx.doi.org/10.1098/rspb.2020.2597 | DOI Listing |
BMC Musculoskelet Disord
January 2025
Department of Orthopaedics & Traumatology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, 310006, China.
Background: This study investigated the clinical efficacy of Double INFIX for the treatment of unstable pelvic fractures.
Methods: We performed a retrospective analysis of 23 patients with unstable pelvic fractures treated using the Double INFIX minimally invasive technique. The cohort included five cases of Tile B1 type, eight cases of B2 type, six cases of B3 type, three cases of C1 type and one case of type C2.
BMC Nurs
January 2025
Xiangya Nursing School, Central South University, Changsha, Hunan Province, China.
Background: China has the largest percentage of people with dementia (PwD) around the world. And most of them are cared for by their family members. The purpose of this study was to identify the quality of life (QoL) of family caregivers of PwD in rural China and to investigate the mediating role of social support between caregiver burden and QoL under the guidance of a stress process model.
View Article and Find Full Text PDFElife
January 2025
Department of Neuroscience, Physiology and Pharmacology, University College London, London, United Kingdom.
Data-driven models of neurons and circuits are important for understanding how the properties of membrane conductances, synapses, dendrites, and the anatomical connectivity between neurons generate the complex dynamical behaviors of brain circuits in health and disease. However, the inherent complexity of these biological processes makes the construction and reuse of biologically detailed models challenging. A wide range of tools have been developed to aid their construction and simulation, but differences in design and internal representation act as technical barriers to those who wish to use data-driven models in their research workflows.
View Article and Find Full Text PDFWater Res
December 2024
Department of Technical Biogeochemistry, Helmholtz Centre for Environmental Research - UFZ, Leipzig 04318, Germany. Electronic address:
The complex sorption mechanisms of carbon adsorbents for the diverse group of persistent, mobile, and potentially toxic contaminants (PMs or PMTs) present significant challenges in understanding and predicting adsorption behavior. While the development of quantitative predictive tools for adsorbent design often relies on extensive training data, there is a notable lack of experimental sorption data for PMs accompanied by detailed sorbent characterization. Rather than focusing on predictive tool development, this study aims to elucidate the underlying mechanisms of sorption by applying data analysis methods to a high-quality dataset.
View Article and Find Full Text PDFGigascience
January 2025
School of Life, Health & Chemical Sciences, The Open University, Milton Keynes, Buckinghamshire, MK7 6AA, UK.
Background: Bioinformatics is fundamental to biomedical sciences, but its mastery presents a steep learning curve for bench biologists and clinicians. Learning to code while analyzing data is difficult. The curve may be flattened by separating these two aspects and providing intermediate steps for budding bioinformaticians.
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