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22,710 results for “Plants for planting”
Fig. 5 in Taxonomic Notes and New Distribution and Host Plant Records for Sawflies and Woodwasps (Hymenoptera, Symphyta) of Japan VIII
Fig. 5.ɹMesoneura shishikuensis. A–B, Probably final feeding-instar larva, 20 mm long, 15. V. 2019; C, mature (probably final instar) larva, 17. V. 2019. Photographed by Ibuki.
Fig. 13 in Taxonomic Notes and New Distribution and Host Plant Records for Sawflies and Woodwasps (Hymenoptera, Symphyta) of Japan VIII
Fig. 13.ɹTaxonus japonicus. A, Early or middle instar larva, 31. V. 2021; B, mature larva, 20. VI. 2021. Photographed by Ibuki.
Fig. 3 in Taxonomic Notes and New Distribution and Host Plant Records for Sawflies and Woodwasps (Hymenoptera, Symphyta) of Japan VIII
Fig. 3.ɹMacrophya katayamai. A, Middle instar larva on Fraxinus sieboldiana, Bato, 15. VII. 2017; B, same larva, 20. VII.; C, same larva, 8. VIII.; D, same larva, 13. IX.; E, same larva, matured, 30. X.; F, female adult, same individual as A–E, emerged, 30. IV. 2018. Photographed by Ibuki.
Fig. 2 in Taxonomic Notes and New Distribution and Host Plant Records for Sawflies and Woodwasps (Hymenoptera, Symphyta) of Japan VIII
Fig. 2.ɹMacrophya fascipennis. A, Probably early instar larva, Koisago, 23. V. 2021; B, same larva, middle instar, with cast skin, just molted, 7. VI.; C, same larva, 7. VI.; D, same larva, last feeding instar, 11. VI.; E, same larva (above), matured, and cast skin (below), 14. VI.; F, male adult, same individual as A–E, emerged, 19. IV. 2022. Photographed by Ibuki.
Fig. 1.Fagineura glabella. A–B in Taxonomic Notes and New Distribution and Host Plant Records for Sawflies and Woodwasps (Hymenoptera, Symphyta) of Japan VIII
Fig. 1.Fagineura glabella. A–B, Middle instar larva, 19. V. 2013; C, final instar larva, 21. V. 2013; D, mature larva, 24. V. 2013. Photographed by Ibuki.
Fig. 9 in Taxonomic Notes and New Distribution and Host Plant Records for Sawflies and Woodwasps (Hymenoptera, Symphyta) of Japan VIII
Fig. 9.ɹNematus yokohamensis. A–B, Egg marks (arrowed) and first instar larvae, 2. VI. 2020; C, ditto, 1. V. 2021; D, early instar larva, 4. VI. 2020; E, middle instar larva, 6. VI. 2020; F, final instar larva, 13. V. 2021; G, mature larva, 10. VI. 2020 (about 20 mm long); H, exuvia in cocoon, labrum; I, ditto, antenna, above dorsal; J–K, cocoon. A–G, Photographed by Ibuki; H–K, photographed by Hara.
Fig. 6 in Taxonomic Notes and New Distribution and Host Plant Records for Sawflies and Woodwasps (Hymenoptera, Symphyta) of Japan VIII
Fig. 6.ɹNematus yokohamensis. A–B, Female in dorsolateral and ventrolateral views (lectotype); C, pronotum in lateral view (lectotype); D, female, head in anterior view, whole in dorsal and ventral views; E, male, head in anterior view, whole in dorsal and ventral views. Photographed by Hara.
Fig. 4 in Taxonomic Notes and New Distribution and Host Plant Records for Sawflies and Woodwasps (Hymenoptera, Symphyta) of Japan VIII
Fig. 4.ɹMacrophya timida. A, Late instar larva, Bato, 26. V. 2021; B, another larva, molting, 27. V.; C, last feeding instar (above) and mature (below) larvae, 3. VI. Photographed by Ibuki.
Fig. 12 in Taxonomic Notes and New Distribution and Host Plant Records for Sawflies and Woodwasps (Hymenoptera, Symphyta) of Japan VIII
Fig. 12.ɹPristiphora geniculata. A–B, Lancet, C–D, male genitalia in ventral and dorsal views; E, penis valve; F, semifinal instar larvae, 25. VI. 2008; G, final instar larvae (left larva 13 mm long), late VI. 2008. Photographed by Hara.
Fig. 1 in New Collection and Host Plant Records for Six Xiphydriidae (Hymenoptera) from Japan
Fig. 1. Xiphydria ogasawarai, female, ovipositing on the trunk of Sorbus commixta, Darugamine Rindo, Okayama Prefecture, August 2, 2021.
F I G U R E 1 A in Linking plant functional traits to biodiversity under environmental change
F I G U R E 1 A diagram of the linkage between functional traits and biodiversity at multiple ecological scales. Across different scales, the diagram includes the response of functional traits to different environmental conditions, interactions under shifts in community structure and ecosystem functioning, which affect species' survival or extinction, and thus biodiversity. The diagram is constructed following a bottom‐up logic based on individual traits and aims to facilitate future trait‐diversity models to predict biodiversity responses under environmental change.
F I G U R E 2 in Current progress and future prospects for understanding genetic diversity of seed plants in China
F I G U R E 2 Number of articles on genetic diversity for seed plants in different fields. The data comes from the results of Web of Science (www.webofscience.com/wos/alldb/basic‐search, accessed: January 17th, 2024) using the search rule: TS = (seed plant genetic diversity) OR TS = (flowering plant genetic diversity) OR TS = (germplasm genetic diversity) OR TS = (angiosperm genetic diversity) OR TS = (gymnosperm genetic diversity). The numbers in parentheses represent the number of articles published in different fields. The overlapping areas show studies that cover multiple fields.
F I G U R E 1 in Current progress and future prospects for understanding genetic diversity of seed plants in China
F I G U R E 1 Number of articles on genetic diversity in different sequencing stages, with lines of red, blue, and green representing studies for all organisms, plants, and seed plants, respectively. Molecular markers and their first published time are provided in the blue boxes. Three major public databases (NCBI, EMBL, and BioSino) and their established time are shown in the red boxes. The data comes from the results of Web of Science (www.webofscience.com/wos/alldb/basic‐search, accessed: January 17th, 2024) using the search rules: TS = (genetic diversity) for all, TS = (plants genetic diversity) OR TS = (ferns genetic diversity) OR TS = (moss genetic diversity) OR TS = (angiosperm genetic diversity) OR TS = (gymnosperm genetic diversity) for plants, and TS = (seed plant genetic diversity) OR TS = (flowering plant genetic diversity) OR TS = (germplasm genetic diversity) OR TS = (angiosperm genetic diversity) OR TS = (gymnosperm genetic diversity) for seed plants.
A Dataset of the Operating Station Heat Rate for 806 Indian Coal Plant Units using Machine Learning
<div> <div> <div> <div> <p>India aims to achieve net-zero emissions by 2070 and has set an ambitious target of 500 GW of renewable power generation capacity by 2030. Coal plants currently contribute to more than 60% of India’s electricity generation in 2022. Upgrading and decarbonizing high-emission coal plants became a pressing energy issue. A key technical parameter for coal plants is the operating station heat rate (SHR), which represents the thermal efficiency of a coal plant. Yet, the operating SHR of Indian coal plants varies and is not comprehensively documented. This study extends from several existing databases and creates an SHR dataset for 806 Indian coal plant units using machine learning (ML), presenting the most comprehensive coverage to date. Additionally, it incorporates environmental factors such as water stress risk and coal prices as prediction features to improve accuracy. This dataset, easily downloadable from our visualization platform, could inform energy and environmental policies for India’s coal power generation as the country transitions towards its renewable energy targets.</p> </div> </div> </div> </div>
Trade network dynamics and alien plant pest introductions: A global analysis
<p>This is a supplement to "Trade network dynamics and alien plant pest introductions: A global analysis", Diversity and Distributions (<a href="https://doi.org/10.1111/ddi.13963">https://doi.org/10.1111/ddi.13963</a>). These data were partially derived from the following resources available in the public domain: <a href="http://www.cepii.fr/CEPII/fr/welcome.asp">www.cepii.fr/CEPII/fr/welcome.asp</a>; Seebens et al. (2017) (dataset DOI: <a href="https://doi.org/10.12761/sgn.2016.01.022">https://doi.org/10.12761/sgn.2016.01.022</a>); Fenn-Moltu et al. 2022 (dataset DOI: <a href="https://doi.org/10.5061/dryad.8931zcrrq">https://doi.org/10.5061/dryad.8931zcrrq</a>).</p>
Optimization of nuclei isolation for high-molecular weight DNA extraction of wild plants
<p><strong>Optimization of nuclei isolation for high-molecular weight DNA extraction from wild plants</strong></p> <p><strong>Authors</strong></p> <p>Irene Martínez-García<sup>1</sup>; Martina Degli Alberti<sup>2</sup>; Aureliano, Bombarely<sup>2</sup>; Mario Xavier Ruiz-González<sup>1</sup>; Santiago Vilanova<sup>1</sup>; Silvia Manrique<sup>1</sup></p> <p> </p> <p><strong>Affiliations</strong></p> <p>1 Instituto Universitario para la Conservación y Mejora de la Agrodiversidad Valenciana (COMAV), Universidad Politécnica de Valencia (UPV), Camino de Vera s/n 46022, Valencia, Spain) 2 Instituto de Biología Molecular y Celular de Plantas (IBMCP) Primo-Yufera, Consejo Superior de Investigaciones Científicas (CSIC)- Universidad Politécnica de Valencia (UPV), Camino de Vera s/n 46022, Valencia, Spain)</p> <p> </p> <p><strong>Abstract</strong></p> <p>Obtaining high-quality, high-molecular-weight (HMW) DNA is mandatory for constructing reference genomes, yet it remains a significant challenge, particularly for non-model plant species. Many plants contain polysaccharides and secondary metabolites such as polyphenols and tannins, which hinder DNA extraction. Exposure to multiple environmental stresses along their lives exacerbate this issue in wild plants collected from nature, as they may synthesize additional compounds that impair DNA extraction.</p> <p>This study investigates the efficacy of various DNA extraction protocols on four recalcitrant plant species—<em>Pistacia lentiscus</em>, <em>Phyllirea angustifolia</em>, <em>Sarcocornia fruticosa</em>, and <em>Limbarda crithmoides</em>—each possessing unique traits complicating DNA extraction (e.g., succulence, lignification, coloration). Samples were collected from El Saler (Valencia), and multiple protocols for nuclei isolation and DNA extraction were tested. The results were systematically evaluated to compile a comprehensive best practices guide, aiding researchers in selecting optimal methods tailored to their species of interest. This guide serves as a valuable resource for future endeavours in genome research, facilitating advancements in understanding and conservation efforts for diverse plant species.</p> <p>Funding: </p> <p>This work was supported by Erasmus+ Program (to MD), Programa María Zambrano 2021 (to SM and MXRG, UPV Ministerio de Universidades, Plan de Recuperación, Transformación y Resiliencia - Financiado por la Unión Europea – NextGenerationEU) and Catalan Initiative For the Earth Biogenome Project (Call1A-2023 to SM and call 2-2023 to AB and SM) and Primeros Proyectos UPV (PAID-06-22 to MXRG).</p>
Linked collectors and determiners for: New South Wales Plant Pathology and Mycology Herbarium (DAR) AVH data.
Natural history specimen data linked to collectors and determiners held within, "New South Wales Plant Pathology and Mycology Herbarium (DAR) AVH data". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/685cff6d-e439-4552-980c-5c73d647d1bf">https://bionomia.net/dataset/685cff6d-e439-4552-980c-5c73d647d1bf</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/685cff6d-e439-4552-980c-5c73d647d1bf">https://gbif.org/dataset/685cff6d-e439-4552-980c-5c73d647d1bf</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Vascular plants from European Russia in the CSBG SB RAS Digital herbarium.
Natural history specimen data linked to collectors and determiners held within, "Vascular plants from European Russia in the CSBG SB RAS Digital herbarium". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/85f9137e-8aec-4e0b-9ed6-0af4dbe491e8">https://bionomia.net/dataset/85f9137e-8aec-4e0b-9ed6-0af4dbe491e8</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/85f9137e-8aec-4e0b-9ed6-0af4dbe491e8">https://gbif.org/dataset/85f9137e-8aec-4e0b-9ed6-0af4dbe491e8</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Description of eight new species of the traumatically inseminating plant bug genus Coridromius (Heteroptera: Miridae: Orthotylinae: Coridromini).
Natural history specimen data linked to collectors and determiners held within, "Description of eight new species of the traumatically inseminating plant bug genus Coridromius (Heteroptera: Miridae: Orthotylinae: Coridromini)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/cb8a8038-f5a4-4803-a5fa-dba5f11f15d2">https://bionomia.net/dataset/cb8a8038-f5a4-4803-a5fa-dba5f11f15d2</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/cb8a8038-f5a4-4803-a5fa-dba5f11f15d2">https://gbif.org/dataset/cb8a8038-f5a4-4803-a5fa-dba5f11f15d2</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Revision and Phylogeny of the Eccritotarsine Plant Bug Genus Caulotops Bergroth, with Descriptions of Four New Genera and 14 New Species (Hemiptera Heteroptera: Miridae: Bryocorinae) Associated with Agave (Agavoideae Asparagaceae) and Related Plant Genera.
Natural history specimen data linked to collectors and determiners held within, "Revision and Phylogeny of the Eccritotarsine Plant Bug Genus Caulotops Bergroth, with Descriptions of Four New Genera and 14 New Species (Hemiptera Heteroptera: Miridae: Bryocorinae) Associated with Agave (Agavoideae Asparagaceae) and Related Plant Genera". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/be5e4bdb-a5e2-48f0-bc0c-3c27ddb7a1cf">https://bionomia.net/dataset/be5e4bdb-a5e2-48f0-bc0c-3c27ddb7a1cf</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/be5e4bdb-a5e2-48f0-bc0c-3c27ddb7a1cf">https://gbif.org/dataset/be5e4bdb-a5e2-48f0-bc0c-3c27ddb7a1cf</a>. Formatted as a Frictionless Data package.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.