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1,074 results for “invasive species”
Supplementary material 2 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
Database subset used for this manuscript
Supplementary material 2 from: Duboscq-Carra VG, Fernandez RD, Haubrock PJ, Dimarco RD, Angulo E, Ballesteros-Mejia L, Diagne C, Courchamp F, Nuñez MA (2021) Economic impact of invasive alien species in Argentina: a first national synthesis. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 329-348. https://doi.org/10.3897/neobiota.67.63208
Description of the sectors considered in the InvaCost database
Supplementary material 2 from: Kourantidou M, Cuthbert RN, Haubrock PJ, Novoa A, Taylor NG, Leroy B, Capinha C, Renault D, Angulo E, Diagne C, Courchamp F (2021) Economic costs of invasive alien species in the Mediterranean basin. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 427-458. https://doi.org/10.3897/neobiota.67.58926
Appendix
Supplementary material 1 from: Kourantidou M, Cuthbert RN, Haubrock PJ, Novoa A, Taylor NG, Leroy B, Capinha C, Renault D, Angulo E, Diagne C, Courchamp F (2021) Economic costs of invasive alien species in the Mediterranean basin. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 427-458. https://doi.org/10.3897/neobiota.67.58926
Mediterranean database
Supplementary material 1 from: Bradshaw CJA, Hoskins AJ, Haubrock PJ, Cuthbert RN, Diagne C, Leroy B, Andrews L, Page B, Cassey P, Sheppard AW, Courchamp F (2021) Detailed assessment of the reported economic costs of invasive species in Australia. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 511-550. https://doi.org/10.3897/neobiota.67.58834
Figures S1–S3 and Table S1
Supplementary material 1 from: Haubrock PJ, Cuthbert RN, Tricarico E, Diagne C, Courchamp F, Gozlan RE (2021) The recorded economic costs of alien invasive species in Italy. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 247-266. https://doi.org/10.3897/neobiota.67.57747
Data used for the estimation of invasive species costs in Italy
Supplementary material 1 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
Dataset used as basis for the analysis
Supplementary material 2 from: Haubrock PJ, Cuthbert RN, Tricarico E, Diagne C, Courchamp F, Gozlan RE (2021) The recorded economic costs of alien invasive species in Italy. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 247-266. https://doi.org/10.3897/neobiota.67.57747
Description of the Impacted Sector categories
Supplementary material 6 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
Root-mean-square errors (RMSE) corresponding to models of temporal trends in invasion costs
Supplementary material 2 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
Description of the impacted sector categories considered in analyses of European invasion costs
Supplementary material 3 from: Haubrock PJ, Cuthbert RN, Tricarico E, Diagne C, Courchamp F, Gozlan RE (2021) The recorded economic costs of alien invasive species in Italy. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 247-266. https://doi.org/10.3897/neobiota.67.57747
Number of recorded studies over the cumulative estimates
Figure 2 in Seasonality and abundance of Metamasius callizona (Coleoptera: Dryophthoridae), an invasive insect herbivore, on two species of Tillandsia (Bromeliaceae) in Florida
Figure 2. Tillandsia utriculata is a monocarpic, tank bromeliad with soft, pliant leaves.
Figure 1 in Seasonality and abundance of Metamasius callizona (Coleoptera: Dryophthoridae), an invasive insect herbivore, on two species of Tillandsia (Bromeliaceae) in Florida
Figure 1. Tillandsia fasciculata is a polycarpic bromeliad with tough leaves.
Supplementary material 1 from: Blaalid R, Magnussen K, Westberg NB, Navrud S (2021) A benefit-cost analysis framework for prioritization of control programs for well-established invasive alien species. NeoBiota 68: 31-52. https://doi.org/10.3897/neobiota.68.62122
Table S1
Figure 6 from: Aleksandrowicz O (2011) Recent records of steppe species in Belarus, first indications of a steppe species invasion? ZooKeys 100: 475-485. https://doi.org/10.3897/zookeys.100.1541
Figure 6 - Actual catch of Zabrus tenebrioides in Belarus (■ – 2007) and its known distribution in eastern Europe (chequered area).
Figure 5 from: Aleksandrowicz O (2011) Recent records of steppe species in Belarus, first indications of a steppe species invasion? ZooKeys 100: 475-485. https://doi.org/10.3897/zookeys.100.1541
Figure 5 - Actual catch of Harpalus honestus in Belarus (■ – 1997) and its known distribution in eastern Europe (chequered area).
Figure 3 from: Aleksandrowicz O (2011) Recent records of steppe species in Belarus, first indications of a steppe species invasion? ZooKeys 100: 475-485. https://doi.org/10.3897/zookeys.100.1541
Figure 3 - Actual catch of Calosoma denticolle in Belarus (□ – 1988; ■ – 2007) and its known distribution in eastern Europe (chequered area).
Figure 4 from: Aleksandrowicz O (2011) Recent records of steppe species in Belarus, first indications of a steppe species invasion? ZooKeys 100: 475-485. https://doi.org/10.3897/zookeys.100.1541
Figure 4 - Actual catch of Harpalus subcylindricus in Belarus (○ – 1988) and its known distribution in eastern Europe (chequered area).
Figure 3 from: Marescaux J, Van Doninck K (2013) Using DNA barcoding to differentiate invasive Dreissena species (Mollusca, Bivalvia). ZooKeys 365: 235-244. https://doi.org/10.3897/zookeys.365.5905
Figure 3 - RFLP analysis of the COI gene to distinguish Dreissena rostriformis bugensis (Q haplotype) and Dreissena polymorpha (Z haplotype) using the endonucleases (A) Nla IV (B) Hinf I (C) Nla III and (D) Scr FI. Lane 1, 1-kb ladder; lane 2, non-digested fragment of quagga mussel; lane 3, Q1 haplotype; lane 4, Q2 haplotype; lane 5, Z1 haplotype; lane 6, Z2 haplotype; lane 7, Z3 haplotype; lane 8, Z4 haplotype; lane 9, Z5 haplotype; lane 10, 100-bp ladder.
Figure 1 from: Marescaux J, Van Doninck K (2013) Using DNA barcoding to differentiate invasive Dreissena species (Mollusca, Bivalvia). ZooKeys 365: 235-244. https://doi.org/10.3897/zookeys.365.5905
Figure 1 - Barcoding analysis based on a fragment of 654 base pairs of the COI gene. a) NJ analysis of K2P-pairwise distances b) "barcoding gap" method based on the K2P-pairwise distance.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.