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1,074 results for “invasive species”
Supplementary material 1 from: Haubrock PJ, Cuthbert RN, Sundermann A, Diagne C, Golivets M, Courchamp F (2021) Economic costs of invasive species in Germany. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 225-246. https://doi.org/10.3897/neobiota.67.59502
Description of the procedure used for collecting and describing cost data in the InvaCost database (adapted from Diagne et al. 2020)
Supplementary material 5 from: Haubrock PJ, Turbelin AJ, Cuthbert RN, Novoa A, Taylor NG, Angulo E, Ballesteros-Mejia L, Bodey TW, Capinha C, Diagne C, Essl F, Golivets M, Kirichenko N, Kourantidou M, Leroy B, Renault D, Verbrugge L, Courchamp F (2021) Economic costs of invasive alien species across Europe. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 153-190. https://doi.org/10.3897/neobiota.67.58196
Temporal trends in invasion costs considering all and reliable observed data (i.e. excluding irreproducible cost estimates and expected costs), calculated until 2013
Supplementary material 4 from: Haubrock PJ, Turbelin AJ, Cuthbert RN, Novoa A, Taylor NG, Angulo E, Ballesteros-Mejia L, Bodey TW, Capinha C, Diagne C, Essl F, Golivets M, Kirichenko N, Kourantidou M, Leroy B, Renault D, Verbrugge L, Courchamp F (2021) Economic costs of invasive alien species across Europe. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 153-190. https://doi.org/10.3897/neobiota.67.58196
Map of Europe showing (a) the number of alien species, (b) the number of researchers at a scale of thousands, (c) total cost of invasion normalised by the number of alien species and (d) total cost of invasions normalised by the number of researchers by country
Supplementary material 3 from: Haubrock PJ, Turbelin AJ, Cuthbert RN, Novoa A, Taylor NG, Angulo E, Ballesteros-Mejia L, Bodey TW, Capinha C, Diagne C, Essl F, Golivets M, Kirichenko N, Kourantidou M, Leroy B, Renault D, Verbrugge L, Courchamp F (2021) Economic costs of invasive alien species across Europe. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 153-190. https://doi.org/10.3897/neobiota.67.58196
Descriptions of socio-economic explanatory variables considered at the country level as potential correlates of invasion costs
Supplementary material 7 from: Haubrock PJ, Turbelin AJ, Cuthbert RN, Novoa A, Taylor NG, Angulo E, Ballesteros-Mejia L, Bodey TW, Capinha C, Diagne C, Essl F, Golivets M, Kirichenko N, Kourantidou M, Leroy B, Renault D, Verbrugge L, Courchamp F (2021) Economic costs of invasive alien species across Europe. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 153-190. https://doi.org/10.3897/neobiota.67.58196
Coefficients from linear robust regression model considering temporal trends in invasion costs, qualified per annual GDP among European countries
Figure 1 in Invasion of Eurytemora sibling species (Copepoda: Temoridae) from north America into the Baltic Sea and European Atlantic coast estuaries
Figure 1. Locations of the studied populations of E. affinis and E. carolleeae. Place names are listed in Table 1.
Figure 5 in Invasion of Eurytemora sibling species (Copepoda: Temoridae) from north America into the Baltic Sea and European Atlantic coast estuaries
Figure 5. Distribution of Eurytemora affinis and Eurytemora carolleeae individuals calculated on the base of indices: ind.1, ind.2, ind.3 (see text) (A) for females and (B) for males. Eurytemora affinis from the Gulf of Finland (open squares), from the Gulf of Riga (open triangles) and from the Vistula lagoon (open circles). E. carolleeae from the Gulf of Finland (filled square) and from the Gulf of Riga (filled triangles).
Figure 4 in Invasion of Eurytemora sibling species (Copepoda: Temoridae) from north America into the Baltic Sea and European Atlantic coast estuaries
Figure 4. Chosen morphological characters for analysis of Eurytemora carolleeae (A–C) and Eurytemora affinis (D–F): length and width of furcal branches (A, D), parts of male P5 swimming legs proportions (C, F), female genital segment (B, E).
Figure 3 in Invasion of Eurytemora sibling species (Copepoda: Temoridae) from north America into the Baltic Sea and European Atlantic coast estuaries
Figure 3. Common view of terra tipica Eurytemora carolleeae and Eurytemora affinis (A) E. carolleeae male and (B) E. carolleeae female from Chesapeake Bay; (C) E. affinis male and (D) E. affinis female from the Elbe River.
Figure 1 in New ecological insight on two invasive species: Craspedacusta sowerbii (Coelenterata: Limnomedusae) and Dreissenia polymorpha (Bivalvia: Dreissenidae)
Figure 1. Research area: sampling points are presented with numbers: 1, metal barrels; 2, twigs; 3, 8 m depth; 4, 16 m depth.
Figure 2 in New ecological insight on two invasive species: Craspedacusta sowerbii (Coelenterata: Limnomedusae) and Dreissenia polymorpha (Bivalvia: Dreissenidae)
Figure 2. Scheme of polyps of Craspedacusta and brown hydra with placement on the shell of Dreissena polymorpha.
Figure 3 in Seasonality and abundance of Metamasius callizona (Coleoptera: Dryophthoridae), an invasive insect herbivore, on two species of Tillandsia (Bromeliaceae) in Florida
Figure 3. Average monthly values (¡ two standard errors) for: (A) rainfall (cm); (B) lowest temperature (°C); (C) health ratings for Tillandsia fasciculata; and (D) health ratings for Tillandsia utriculata.
Figure 4 in Seasonality and abundance of Metamasius callizona (Coleoptera: Dryophthoridae), an invasive insect herbivore, on two species of Tillandsia (Bromeliaceae) in Florida
Figure 4. The average weevil count per fallout (wc:fo) per month (¡ two standard errors) for: (A) T. fasciculata; and (B) T. utriculata from June 2001 to June 2005. Note: The weevil count was the number of living weevil adults and living or dead weevil larvae and pupae found in fallout.
FIGURE 1 in DNA barcoding identifies a third invasive species of Eleutherodactylus (Anura: Eleutherodactylidae) in Panama City, Panama
FIGURE 1. Maxiumum likelihood phylogeny of Eleutherodactylus species based on a 518 base pair fragment of the 16S gene and assuming the geneneral time-reversible model of molecular evolution with 2 rate heterogeneity parameters (GTR+I+Γ). Tree rooted based on preliminary analyses of 42 GenBank samples and on Heinicke et al. (2007). Scale bar indicates an inferred branch length of 0.01 (1%). Statistical support for each node is indicated by its Bayesian marginal posterior probability followed by its parsimony bootstrap percentage, where a dash (-) indicates a probability <0.5 or a bootstrap score <50%. The three samples marked with an asterisk (*) were obtained for this study, while the other 16 sequences were obtained from GenBank (sample name starts with its GenBank accession number). Country of origin is by the corresponding ISO 3166-1 2-letter country code. Additional sample information is provided in text and in GenBank.
Data from: Predicting range expansion of invasive species: pitfalls and best practices for obtaining biologically realistic projections
<p>Species Distribution Models (SDM) for seven invasive plant species in North America. Species distribution models (SDMs) are widely used to forecast potential range expansion of invasive species. However, invasive species occurrence datasets often have spatial biases that may violate key SDM assumptions. We examined alternative methods of spatial bias correction and multiple methods for model evaluation for seven invasive plant species. Species SDMs include Common Tansy<i> </i>(<i>Tanacetum vulgare</i>), Wild Parsnip<i> </i>(<i>Pastinaca sativa</i>), Leafy Spurge (<i>Euphorbia virgata</i>), Common Teasel<i> </i>(<i>Dipsacus fullonum</i>), Brown Knapweed<i> </i>(<i>Centaurea jacea</i>), Black Swallowwort<i> </i>(<i>Vincetoxicum nigrum</i>), and Dalmatian Toadflax<i> </i>(<i>Linaria dalmatica</i>). </p>
Fig. 1 in Chalcophora virginiensis(Drury, 1770) (Coleoptera: Buprestidae), a Newly Established Invasive Species in the Dominican Republic
Fig. 1. Chalcophora virginiensis female on Pinus occidentalis at Los Montones (near San Jose de las Matas), Santiago Province, Dominican Republic. Photo by SMC.
Figure 16 in The Hawaiian amphibious caterpillar guild: new species of Hyposmocoma (Lepidoptera: Cosmopterigidae) confirm distinct aquatic invasions and complex speciation patterns
Figure 16. Male genitalia of Hyposmocoma ipowainui sp. nov. from specimen on slide PS146. A, tegumen, ventral aspect; B, sclerotized hook on abdominal segment VII, ventral aspect; C, valvae with phallus, ventral aspect.
Figure 17 in The Hawaiian amphibious caterpillar guild: new species of Hyposmocoma (Lepidoptera: Cosmopterigidae) confirm distinct aquatic invasions and complex speciation patterns
Figure 17. Male genitalia of Hyposmocoma aumakuawai sp. nov. from specimen on slide PS205. A, tegumen, ventral aspect; B, sclerotized hook on abdominal segment VII, ventral aspect; C, valvae with phallus, ventral aspect.
Figure 13 in The Hawaiian amphibious caterpillar guild: new species of Hyposmocoma (Lepidoptera: Cosmopterigidae) confirm distinct aquatic invasions and complex speciation patterns
Figure 13. Holotypes of aquatic medium burrito-case Hyposmocoma spp., adult males. A, Hyposmocoma aumakuawai sp. nov.; B, Hyposmocoma waihohonu sp. nov.; C, Hyposmocoma moopalikea sp. nov.
Figure 14 in The Hawaiian amphibious caterpillar guild: new species of Hyposmocoma (Lepidoptera: Cosmopterigidae) confirm distinct aquatic invasions and complex speciation patterns
Figure 14. Case types of aquatic Hyposmocoma spp., larvae. A, Hyposmocoma eepawai sp. nov., lateral aspect; B, Hyposmocoma ipowainui sp. nov., dorsal aspect; C, Hyposmocoma aumakuawai sp. nov., dorsal aspect.
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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.