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1,074 results for “invasive species”
Supplementary material 1 from: Jagodziński AM, Dyderski MK, Horodecki P, Knight KS, Rawlik K, Szmyt J (2019) Light and propagule pressure affect invasion intensity of Prunus serotina in a 14-tree species forest common garden experiment. NeoBiota 46: 1-21. https://doi.org/10.3897/neobiota.46.30413
: Data type: measurement
Supplementary material 2 from: Jagodziński AM, Dyderski MK, Horodecki P, Knight KS, Rawlik K, Szmyt J (2019) Light and propagule pressure affect invasion intensity of Prunus serotina in a 14-tree species forest common garden experiment. NeoBiota 46: 1-21. https://doi.org/10.3897/neobiota.46.30413
: Data type: measurement
Supplementary material 3 from: Jagodziński AM, Dyderski MK, Horodecki P, Knight KS, Rawlik K, Szmyt J (2019) Light and propagule pressure affect invasion intensity of Prunus serotina in a 14-tree species forest common garden experiment. NeoBiota 46: 1-21. https://doi.org/10.3897/neobiota.46.30413
: Data type: measurement
Supplementary material 4 from: Jagodziński AM, Dyderski MK, Horodecki P, Knight KS, Rawlik K, Szmyt J (2019) Light and propagule pressure affect invasion intensity of Prunus serotina in a 14-tree species forest common garden experiment. NeoBiota 46: 1-21. https://doi.org/10.3897/neobiota.46.30413
: Data type: measurement
Supplementary material 1 from: Cardoso A, Tsiamis K, Gervasini E, Schade S, Taucer F, Adriaens T, Copas K, Flevaris S, Galiay P, Jennings E, Josefsson M, López B, Magan J, Marchante E, Montani E, Roy H, von Schomberg R, See L, Quintas M (2017) Citizen Science and Open Data: a model for Invasive Alien Species in Europe. Research Ideas and Outcomes 3: e14811. https://doi.org/10.3897/rio.3.e14811
Appendix 2.
Supplementary material 2 from: Lindemann-Matthies P (2016) Beasts or beauties? Laypersons' perception of invasive alien plant species in Switzerland and attitudes towards their management. NeoBiota 29: 15-33. https://doi.org/10.3897/neobiota.29.5786
English translation of the questionnaire :
Supplementary material 1 from: Lindemann-Matthies P (2016) Beasts or beauties? Laypersons' perception of invasive alien plant species in Switzerland and attitudes towards their management. NeoBiota 29: 15-33. https://doi.org/10.3897/neobiota.29.5786
Short description of the eight invasive alien plant species :
Figure 1 from: Cardoso A, Tsiamis K, Gervasini E, Schade S, Taucer F, Adriaens T, Copas K, Flevaris S, Galiay P, Jennings E, Josefsson M, López B, Magan J, Marchante E, Montani E, Roy H, von Schomberg R, See L, Quintas M (2017) Citizen Science and Open Data: a model for Invasive Alien Species in Europe. Research Ideas and Outcomes 3: e14811. https://doi.org/10.3897/rio.3.e14811
Figure 1 - Participants of the workshop on "Citizen Science and Open Data: a model for Invasive Alien Species in Europe". Image: COST Association.
Figure 4 from: Cardoso A, Tsiamis K, Gervasini E, Schade S, Taucer F, Adriaens T, Copas K, Flevaris S, Galiay P, Jennings E, Josefsson M, López B, Magan J, Marchante E, Montani E, Roy H, von Schomberg R, See L, Quintas M (2017) Citizen Science and Open Data: a model for Invasive Alien Species in Europe. Research Ideas and Outcomes 3: e14811. https://doi.org/10.3897/rio.3.e14811
Figure 4 - Flipchart with participants notes addressing the topic "Main characteristics of a model for a citizen participation replicable across different policies" during Session 1. Image: COST Association.
Figure 3 from: Cardoso A, Tsiamis K, Gervasini E, Schade S, Taucer F, Adriaens T, Copas K, Flevaris S, Galiay P, Jennings E, Josefsson M, López B, Magan J, Marchante E, Montani E, Roy H, von Schomberg R, See L, Quintas M (2017) Citizen Science and Open Data: a model for Invasive Alien Species in Europe. Research Ideas and Outcomes 3: e14811. https://doi.org/10.3897/rio.3.e14811
Figure 3 - Discussion of a round table through the "world café" method, addressing the topic "List of methods for mainstreaming inputs from CS in policy making including quality assurance and validations and other parameters" during Session 1. Image: COST Association.
Figure 2 from: Cardoso A, Tsiamis K, Gervasini E, Schade S, Taucer F, Adriaens T, Copas K, Flevaris S, Galiay P, Jennings E, Josefsson M, López B, Magan J, Marchante E, Montani E, Roy H, von Schomberg R, See L, Quintas M (2017) Citizen Science and Open Data: a model for Invasive Alien Species in Europe. Research Ideas and Outcomes 3: e14811. https://doi.org/10.3897/rio.3.e14811
Figure 2 - Discussion of a round table through the "world café" method, addressing the topic "List of successful case-studies and examples of good practices in environment and IAS" during Session 1. Image: COST Association.
Figure 1 from: Vanderhoeven S, Adriaens T, Desmet P, Strubbe D, Backeljau T, Barbier Y, Brosens D, Cigar J, Coupremanne M, De Troch R, Eggermont H, Heughebaert A, Hostens K, Huybrechts P, Jacquemart A, Lens L, Monty A, Paquet J, Prévot C, Robertson T, Termonia P, Van De Kerchove R, Van Hoey G, Van Schaeybroeck B, Vercayie D, Verleye T, Welby S, Groom Q (2017) Tracking Invasive Alien Species (TrIAS): Building a data-driven framework to inform policy. Research Ideas and Outcomes 3: e13414. https://doi.org/10.3897/rio.3.e13414
Figure 1 - A visual description of the TrIAS workflow through work packages. Work package 1 generates the input data; Work package 2 creates indicators and summaries of the data; Work package 3 uses the data and generates models and predications of future distributions; Work package 4 involves experts using the information from the other work packages, together with their own experience to create impact assessments.
Figure 3 from: Chadin I, Dalke I, Zakhozhiy I, Malyshev R, Madi E, Kuzivanova O, Kirillov D, Elsakov V (2017) Distribution of the invasive plant species Heracleum sosnowskyi Manden. in the Komi Republic (Russia). PhytoKeys 77: 71-80. https://doi.org/10.3897/phytokeys.77.11186
Figure 3 - The prediction map of Heracleum sosnowskyi habitats prepared with the species distribution model based on bioclaimatic predictors. The borders of Plot 2 within which the model prediction was made. The colour scale shows the probability Heracleum sosnowskyi presence.
Figure 2 from: Chadin I, Dalke I, Zakhozhiy I, Malyshev R, Madi E, Kuzivanova O, Kirillov D, Elsakov V (2017) Distribution of the invasive plant species Heracleum sosnowskyi Manden. in the Komi Republic (Russia). PhytoKeys 77: 71-80. https://doi.org/10.3897/phytokeys.77.11186
Figure 2 - The prediction map of Heracleum sosnowskyi habitats prepared with the species distribution model based on vegetation cover map, nearest road proximity map, proximity map to the borders of agricultural areas. The colour scale shows the probability Heracleum sosnowskyi presence.
Figure 1 from: Chadin I, Dalke I, Zakhozhiy I, Malyshev R, Madi E, Kuzivanova O, Kirillov D, Elsakov V (2017) Distribution of the invasive plant species Heracleum sosnowskyi Manden. in the Komi Republic (Russia). PhytoKeys 77: 71-80. https://doi.org/10.3897/phytokeys.77.11186
Figure 1 - Study area. Red points indicate occurrences of Heracleum sosnowskyi described in the data paper.
Supplementary material 1 from: Gonzalez Cruz J, Johnson M (2024) Towards a spectrum of dissent: A content analysis of Hawai'i's invasive species media. NeoBiota 92: 315-348. https://doi.org/10.3897/neobiota.92.115766
Coding protocol
Supplementary material 2 from: Gonzalez Cruz J, Johnson M (2024) Towards a spectrum of dissent: A content analysis of Hawai'i's invasive species media. NeoBiota 92: 315-348. https://doi.org/10.3897/neobiota.92.115766
Included media list
FIGURE 7 in Adjustments in population and reproductive dynamics of native and non-native congeneric species during 26 years after invasion
FIGURE 7 | Estimated mean lengths at first maturity (L50) for both Serrasalmus marginatus (A and C, non-native) and S. maculatus (B and D, native) piranha species for each sex and each sampled timeperiod in the upper Paraná River floodplain (continuous black line: 1986–1988, first time-period; dashed red line: 2000–2002, second time-period; dotted blue line: 2010–2012, third time-period).
FIGURE 5 in Adjustments in population and reproductive dynamics of native and non-native congeneric species during 26 years after invasion
FIGURE 5 | Mortality rates of both non-native (left) and native (right) species for each sampled timeperiod in the upper Paraná River floodplain. White dots: ages that were not used for the estimated mortality. Black dots: ages used for the estimated mortality. Grey dashed line: confidence intervals. A. and B. 1986–1988: first time-period; C. and D. 2000–2002: second time-period; E. and F. 2010–2012: third time-period.
FIGURE 2 in Adjustments in population and reproductive dynamics of native and non-native congeneric species during 26 years after invasion
FIGURE 2 | Temporal trends in abundance of both non-native (left) and native species (right) in each habitat. CPUE values were log(x+1) transformed to decrease extreme values.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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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.