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370 results for “plant material”
Supplementary material 1 from: Ollivier M, Kazakou E, Corbin M, Sartori K, Gooden B, Lesieur V, Thomann T, Martin J-F, Tixier MS (2020) Trait differentiation between native and introduced populations of the invasive plant Sonchus oleraceus L. (Asteraceae). NeoBiota 55: 85-115. https://doi.org/10.3897/neobiota.55.49158
Table S1. Location and climatic data for the 14 Sonchus oleraceus populations used for offspring comparisons under standardised conditions
Supplementary material 4 from: Augustinus BA, Lommen STE, Fogliatto S, Vidotto F, Smith T, Horvath D, Bonini M, Gentili RF, Citterio S, Müller-Schärer H, Schaffner U (2020) In-season leaf damage by a biocontrol agent explains reproductive output of an invasive plant species. NeoBiota 55: 117-146. https://doi.org/10.3897/neobiota.55.46874
Figure S1. Mean plant volume ± se of A. artemisiifolia plants measured during the experiment in the four experimental sites
Supplementary material 2 from: Ollivier M, Kazakou E, Corbin M, Sartori K, Gooden B, Lesieur V, Thomann T, Martin J-F, Tixier MS (2020) Trait differentiation between native and introduced populations of the invasive plant Sonchus oleraceus L. (Asteraceae). NeoBiota 55: 85-115. https://doi.org/10.3897/neobiota.55.49158
Table S2. Mean (± standard error) values for 20 traits assessed for native (Europe and North Africa) and invasive (Australia and New Zealand) populations of Sonchus oleraceus under standardised conditions
Supplementary material 3 from: Ollivier M, Kazakou E, Corbin M, Sartori K, Gooden B, Lesieur V, Thomann T, Martin J-F, Tixier MS (2020) Trait differentiation between native and introduced populations of the invasive plant Sonchus oleraceus L. (Asteraceae). NeoBiota 55: 85-115. https://doi.org/10.3897/neobiota.55.49158
Table S3. Results of mixed models assessing the effect of range (native: Europe and North Africa, introduced: Australia and New Zealand), population within range being considered as a random factor, for 20 plants traits measured on Sonchus oleraceus under standardised conditions
Supplementary material 1 from: Huang J, Guo Z, Tang S, Ren W, Chu G, Wang L, Zhao L, Yu R, Xu Y, Ding Y, Zang R (2020) Floristic composition and plant diversity in distribution areas of native species congeneric with Betula halophila in Xinjiang, northwest China. Nature Conservation 42: 1-17. https://doi.org/10.3897/natureconservation.42.54735
Figure S1. The correlation between environmental variables in distribution areas of five congeneric species with Betula halophila
Raw data for "Are bioplastics and plant-based materials safer than conventional plastics? In vitro toxicity and chemical composition"
<p>This upload contains the raw data files from FTIR analysis (csv format) and the non-target chemical analysis (UPLC-QTOF-MS/MS, positive ionization, MS<sup>E</sup> acquisition, Waters raw format) associated with our publication "Are bioplastics and plant-based materials safer than conventional plastics? In vitro toxicity and chemical composition" published in Environment International (https://doi.org/10.1016/j.envint.2020.106066). You will find all methodological details there.</p>
Supplementary material 1 from: Datta A, Kumschick S, Geerts S, Wilson JRU (2020) Identifying safe cultivars of invasive plants: six questions for risk assessment, management, and communication. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM. NeoBiota 62: 81-97. https://doi.org/10.3897/neobiota.62.51635
Table S1. Plant taxa listed under South African regulations for which certain sub-specific entities are listed differently from other entities
Supplementary material 1 from: Bustamante RO, Alves L, Goncalves E, Duarte M, Herrera I (2020) A classification system for predicting invasiveness using climatic niche traits and global distribution models: application to alien plant species in Chile. NeoBiota 63: 127-146. https://doi.org/10.3897/neobiota.63.50049
Table S1. Exotic species located in Quadrant 1 (see Figure 3) and impacts on biodiversity, agriculture and cattle raisng
Data from: Population history provides foundational knowledge for utilizing and developing native plant restoration materials
A species' population structure and history are critical pieces of information that can help guide the use of available native plant materials in restoration treatments and decide what new native plant materials should be developed to meet future restoration needs. In the western United States, Pseudoroegneria spicata (bluebunch wheatgrass; Poaceae) is an important component of grassland and shrubland plant communities and commonly used for restoration due to its drought resistance and competitiveness with exotic weeds. We used next-generation sequencing data to investigate the processes that shaped P. spicata's geographic pattern of genetic variation across the Intermountain West. Pseudoroegneria spicata's genetic diversity is partitioned into populations that likely differentiated since the Last Glacial Maximum. Adjacent populations display varying magnitudes of historical gene flow, with migration rates ranging from multiple migrants per generation to multiple generations per migrant. When considering the commercial germplasm sources available for restoration, genetic identities remain representative of the wildland localities from which germplasm sources were originally developed, and they maintain high levels of heterozygosity and nucleotide diversity. However, the commercial germplasm sources represent a small fraction of the overall genetic diversity of P. spicata in the Intermountain West. Given the low migration rates and long divergence times between some pairs of P. spicata populations, using commercial germplasm sources could facilitate undesirable restoration outcomes when used in certain geographic areas, even if the environment in which the commercial materials thrive is similar to that of the restoration site. As such, population structure and history can be used to provide guidance on what geographic areas may need additional native plant materials so that restoration efforts support species and community resilience and improve outcomes.
Supplementary Material for "How do seasonal and technical factors affect generation efficiency of photovoltaic power plants?"
<p>Supplementary material for the paper "How do seasonal and technical factors affect generation efficiency of photovoltaic power plants?".</p><p>This supplementary information provides:</p><ul><li>Table S1. Monthly solar irradiation for each plants</li><li>Table S2. Summary of input and output factors, and efficiency scores</li><li>Table S3. Rainy season of the northern Kyushu region</li><li>Table S4. Summary of parameters for the regression model</li><li>Table S5. Average monthly solar irradiation for three cities</li><li>Figure S1. Regression line for each of the PV power plants</li></ul>
Supplementary material 1 from: Gioria M, Carta A, Balogianni V, Fornara D, Pyšek P, Osborne BA (2023) Changes in the functional and phylogenetic diversity of above- and below-ground plant communities invaded by two alien herbs. NeoBiota 88: 75-101. https://doi.org/10.3897/neobiota.88.109185
Species lists, list of traits, and results of Bayesian phylogenetic generalized linear mixed models of species richness and abundance data in the vegetation and the soil seed bank
Supplementary material 1 from: Xu R, Su W, Wang Y, Tian S, Li Y, Phukhamsakda C (2024) Morphological characteristics and phylogenetic evidence reveal two new species and the first report of Comoclathris (Pleosporaceae, Pleosporales) on dicotyledonous plants from China. MycoKeys 101: 95-112. https://doi.org/10.3897/mycokeys.101.113040
Phylogram generated from maximum likelihood analysis based on combined ITS, LSU, SSU, and rpb2 sequnence data
Supplementary material 2 from: Kubentayev SA, Alibekov DT, Perezhogin YV, Lazkov GA, Kupriyanov AN, Ebel AL, Izbastina KS, Borodulina OV, Kubentayeva BB (2024) Revised checklist of endemic vascular plants of Kazakhstan. PhytoKeys 238: 241-279. https://doi.org/10.3897/phytokeys.238.114475
Former endemics of Kazakhstan that are now reclassified as synonyms for species exhibiting broader geographical distributions
Supplementary material 1 from: Mally R, Ward SF, Trombik J, Buszko J, Medzihorský V, Liebhold AM (2021) Non-native plant drives the spatial dynamics of its herbivores: the case of black locust (Robinia pseudoacacia) in Europe. NeoBiota 69: 155-175. https://doi.org/10.3897/neobiota.69.71949
Table S1. First record locations of Parectopa robiniella, Macrosaccus robiniella and Obolodiplosis robiniae from Europe.
Supplementary material 1 from: Anđelković AA, Pavlović DM, Marisavljević DP, Živković MM, Novković MZ, Popović SS, Cvijanović DL, Radulović SB (2022) Plant invasions in riparian areas of the Middle Danube Basin in Serbia. NeoBiota 71: 23-48. https://doi.org/10.3897/neobiota.71.69716
List of the studied rivers/canal sections and their catchment area affiliation (and code in the analysis)
FIGURE. Camchaya bolavenensis Noyori, Komada, Soulad. & Tagane. A. Flowering plant; B. Capitula; C. Long section of floret, lateral view; D. Phyllaries, inner (left), middle (middle) and outer (right); E. Achene. Materials all from Tagane et al. L2011 (KYO). in Camchaya bolavenensis (Asteraceae: Vernonieae), a new species from Bolaven Plateau, southern Laos
FIGURE. Camchaya bolavenensis Noyori, Komada, Soulad. & Tagane. A. Flowering plant; B. Capitula; C. Long section of floret, lateral view; D. Phyllaries, inner (left), middle (middle) and outer (right); E. Achene. Materials all from Tagane et al. L2011 (KYO).
The Bug in a teacup – Monitoring arthropod-plant associations with environmental DNA from dried plant material
<p class="MsoNormal">Environmental DNA analysis has revolutionized the field of biomonitoring in the past years. Various sources have been shown to contain eDNA of diverse organisms, for example water, soil, gut content and plant surfaces. Here we show that dried plant material is a highly promising source for arthropod community eDNA. We designed a metabarcoding assay to enrich diverse arthropod communities, while preventing amplification of plant DNA. Using this assay, we analyzed various commercially produced teas and herbs. These samples recovered ecologically and taxonomically diverse arthropod communities, a total of over a thousand species in more than 20 orders, many of them specific to their host plant and its geographic origin. Atypically for eDNA, arthropod DNA in dried plants shows a very high temporal stability, opening up plant archives as a source for historical arthropod eDNA. Considering these results, dried plant material appears excellently suited as a novel tool to monitor arthropods and arthropod-plant interactions, detect agricultural pests, and identify the geographic origin of imported plant material. The ability to detect highly diverse arthropod communities from all over the world in tea bags also highlights the utility of our approach for outreach purposes and to raise awareness about biodiversity.</p>
Distribution. Now restricted to the Channel Country of SW Queensland and the Lake Eyre Basin in NE South Australia. Descriptive notes. Head-body 95-120 mm, tail 105-160 mm, ear 23-29 mm, hindfoot 32-37 mm; weight 30-50 g. The Fawn Hopping Mouse has body form typical of hopping mice, with very long hindfeet, long tail with distal brush of longer hairs, very long ears, and large protruberant eyes. Dorsal fur is of variable color, from pale pinkish fawn to gray; ventral fur white. Unlike most other hopping mice, it has no throat pouch, but males have a glandular area of naked skin on the chest. Habitat. Occurs in low shrublands and tussock grasslands on stony ("gibber") plains and claypans. Shows marked habitat segregation from the Dusky Hopping Mouse (N. fuscus), which is closely associated with sandy substrates. Food and Feeding. The Fawn Hopping Mouse is mostly granivorous, but also eats other plant material (stems, leaves) and occasionally invertebrates. It uses succulent, salt-adapted plants around edges of claypans as a source of water. Breeding. Reproduction is probably largely opportunistic and aseasonal, with high reproductive output from near-continuous breeding after periods of high rainfall; reported littersize is 1-5, most commonly three; gestation period 38-43 days for nonlactating females. Females may mature later than other hopping mice, with reproductive maturity reached at about six months. Activity patterns. Terrestrial and nocturnal. Fawn Hopping Mice shelter during day in burrow systems that are typically simpler and shallower than those of other hopping mice. Movements, Home range and Social organization. Fawn Hopping Mice generally live singly or in small groups; typically uncommon within range, but population density may increase by an order of magnitude following periods of high rainfall. Status and Conservation. Classified as Near Threatened on The IUCN Red List. The Fawn Hopping Mouse has shown marked decline in range (estimated at greater than 50%), and presumably population size, since European settlement of Australia. This is mostlikely due to predation by the introduced house cat and Red Fox (Vulpes vulpes), and to habitat degradation associated with pastoralism. Bibliography. Brazenor (1934), Burbidge et al. (2008), Finlayson (1939), Gould (1853), Jackson & Groves (2015), Murray et al. (1999), Ogilby (1892), Thomas (1921h), Van Dyck & Strahan (2008), Waite (1898), Watts & Aslin (1981), Woinarski et al. (2014), Wood Jones (1925). in Muridae
Distribution. Now restricted to the Channel Country of SW Queensland and the Lake Eyre Basin in NE South Australia. Descriptive notes. Head-body 95-120 mm, tail 105-160 mm, ear 23-29 mm, hindfoot 32-37 mm; weight 30-50 g. The Fawn Hopping Mouse has body form typical of hopping mice, with very long hindfeet, long tail with distal brush of longer hairs, very long ears, and large protruberant eyes. Dorsal fur is of variable color, from pale pinkish fawn to gray; ventral fur white. Unlike most other hopping mice, it has no throat pouch, but males have a glandular area of naked skin on the chest. Habitat. Occurs in low shrublands and tussock grasslands on stony ("gibber") plains and claypans. Shows marked habitat segregation from the Dusky Hopping Mouse (N. fuscus), which is closely associated with sandy substrates. Food and Feeding. The Fawn Hopping Mouse is mostly granivorous, but also eats other plant material (stems, leaves) and occasionally invertebrates. It uses succulent, salt-adapted plants around edges of claypans as a source of water. Breeding. Reproduction is probably largely opportunistic and aseasonal, with high reproductive output from near-continuous breeding after periods of high rainfall; reported littersize is 1-5, most commonly three; gestation period 38-43 days for nonlactating females. Females may mature later than other hopping mice, with reproductive maturity reached at about six months. Activity patterns. Terrestrial and nocturnal. Fawn Hopping Mice shelter during day in burrow systems that are typically simpler and shallower than those of other hopping mice. Movements, Home range and Social organization. Fawn Hopping Mice generally live singly or in small groups; typically uncommon within range, but population density may increase by an order of magnitude following periods of high rainfall. Status and Conservation. Classified as Near Threatened on The IUCN Red List. The Fawn Hopping Mouse has shown marked decline in range (estimated at greater than 50%), and presumably population size, since European settlement of Australia. This is mostlikely due to predation by the introduced house cat and Red Fox (Vulpes vulpes), and to habitat degradation associated with pastoralism. Bibliography. Brazenor (1934), Burbidge et al. (2008), Finlayson (1939), Gould (1853), Jackson & Groves (2015), Murray et al. (1999), Ogilby (1892), Thomas (1921h), Van Dyck & Strahan (2008), Waite (1898), Watts & Aslin (1981), Woinarski et al. (2014), Wood Jones (1925).
Supplementary material 3 from: Swenson SJ, Eichler L, Hörren T, Kolter A, Köthe S, Lehmann GUC, Meinel G, Mühlethaler R, Sorg M, Gemeinholzer B (2022) The potential of metabarcoding plant components of Malaise trap samples to enhance knowledge of plant-insect interactions. Metabarcoding and Metagenomics 6: e85213. https://doi.org/10.3897/mbmg.6.85213
Supplementary material 3 from: Swenson SJ, Eichler L, Hörren T, Kolter A, Köthe S, Lehmann GUC, Meinel G, Mühlethaler R, Sorg M, Gemeinholzer B (2022) The potential of metabarcoding plant components of Malaise trap samples to enhance knowledge of plant-insect interactions. Metabarcoding and Metagenomics 6: e85213. https://doi.org/10.3897/mbmg.6.85213
Supplementary material 2 from: Sirbu C, Miu IV, Gavrilidis AA, Gradinaru SR, Niculae IM, Preda C, Oprea A, Urziceanu M, Camen-Comanescu P, Nagoda E, Sirbu IM, Memedemin D, Anastasiu P (2022) Distribution and pathways of introduction of invasive alien plant species in Romania. NeoBiota 75: 1-21. https://doi.org/10.3897/neobiota.75.84684
Appendix S2. Altitudinal range of invasive and potentially invasive alien plant species recorded in Romania
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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.