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datasets available to search
ShareScore release 0.9.0
Dataset results
173 results for “Alien plants”
Supplementary material 1 from: Těšitelová T, Knotková K, Knotek A, Cempírková H, Těšitel J (2024) Root hemiparasites suppress invasive alien clonal plants: evidence from a cultivation experiment. NeoBiota 90: 97-121. https://doi.org/10.3897/neobiota.90.113069
Supplementary information
Supplementary material 2 from: Těšitelová T, Knotková K, Knotek A, Cempírková H, Těšitel J (2024) Root hemiparasites suppress invasive alien clonal plants: evidence from a cultivation experiment. NeoBiota 90: 97-121. https://doi.org/10.3897/neobiota.90.113069
Primary data table
Supplementary material 1 from: Zheng M-M, Pyšek P, Guo K, Hasigerili, Guo W-Y (2024) Clonal alien plants in the mountains spread upward more extensively and faster than non-clonal. NeoBiota 91: 29-48. https://doi.org/10.3897/neobiota.91.115675
Data used for the analysis
Supplementary material 2 from: Kortz A, Hejda M, Pergl J, Kutlvašr J, Petřík P, Sádlo J, Vítková M, Vojík M, Pyšek P (2024) Impacts of native and alien plant dominants at different spatial scales. NeoBiota 92: 29-43. https://doi.org/10.3897/neobiota.92.116392
Map with populations of the selected native and alien dominants
Supplementary material 3 from: Kortz A, Hejda M, Pergl J, Kutlvašr J, Petřík P, Sádlo J, Vítková M, Vojík M, Pyšek P (2024) Impacts of native and alien plant dominants at different spatial scales. NeoBiota 92: 29-43. https://doi.org/10.3897/neobiota.92.116392
Primary data, details on the statistical models and summary of the results
Supplementary material 1 from: Kortz A, Hejda M, Pergl J, Kutlvašr J, Petřík P, Sádlo J, Vítková M, Vojík M, Pyšek P (2024) Impacts of native and alien plant dominants at different spatial scales. NeoBiota 92: 29-43. https://doi.org/10.3897/neobiota.92.116392
The selected native and invasive dominants
Supplementary material 1 from: Cubino JP, Těšitel J, Fibich P, Lepš J, Chytrý M (2022) Alien plants tend to occur in species-poor communities. NeoBiota 73: 39-56. https://doi.org/10.3897/neobiota.73.79696
Alien plants tend to occur in species-poor communities
Supplementary material 1 from: Bitani N, Shivambu TC, Shivambu N, Downs CT (2022) An impact assessment of alien invasive plants in South Africa generally dispersed by native avian species. NeoBiota 74: 189-207. https://doi.org/10.3897/neobiota.74.83342
Table S1
Supplementary material 2 from: Bitani N, Shivambu TC, Shivambu N, Downs CT (2022) An impact assessment of alien invasive plants in South Africa generally dispersed by native avian species. NeoBiota 74: 189-207. https://doi.org/10.3897/neobiota.74.83342
Table S2
Assessing the level of compliance with alien plant regulations in a large African protected area
<p>Regulations provide the legal basis for managing biological invasions, but assessments of their effectiveness are rare. To assess the influence of national and local regulations on alien plant species richness and composition in a large protected area (Kruger National Park; KNP; South Africa) we surveyed tourist camps and staff villages for alien ornamental plants. We compared our survey results in 2020 with a previous survey carried out between 1999 and 2003, in the context of national regulations on alien plants promulgated in 2001 and 2014. The number of alien plant species recorded in KNP has almost doubled since the first survey (231 to 438), although there has been significant species turnover (93% average replacement across all camps). Importantly, however, both the number of recorded listed and regulated alien plant species found in KNP, and their species richness per camp, have declined (by 38% overall and by 56% per camp). This suggests that regulations are effective. In contrast, the number of recorded unregulated ornamental alien species recorded has increased (by 157% overall), but this likely partly due to an increase in survey effort. Alien species regulations provide clear guidance for conservation managers, and there are promising signs of their effectiveness in directing management in KNP. However, converting alien species lists into priorities for control or regulation will continue to require risk analyses sensitive to park user needs. We advocate for better regulation effectiveness monitoring, and for such monitoring results to be interpreted based on local management needs and concerns.</p>
Supplementary material 3 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 S3. Publications used to compile distribution of alien plant species in Romania.
Supplementary material 1 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 S1. List of invasive and potentially invasive alien plant species in Romania
Supplementary material 1 from: Jehlík V, Dostálek J, Frantík T (2019) Alien plants in Central European river ports. NeoBiota 45: 93-115. https://doi.org/10.3897/neobiota.45.33866
: Data type: species data
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 3 in Modelling hot spot areas for the invasive alien plant Elodea nuttallii in the EU
Figure 3. The model performance (regularized training gain) of the MaxEnt model generated using subset 3 of the occurrence data when the variable in question is omitted or used in isolation, compared to the performance of the model when all variables are used.
Figure 1 in Modelling hot spot areas for the invasive alien plant Elodea nuttallii in the EU
Figure 1. The model performance (regularized training gain) of the MaxEnt model generated using subset 1 of the occurrence data when the variable in question is omitted or used in isolation, compared to the performance of the model when all variables are used.
Figure 1 from: Garzon-Lopez C, Hattab T, Skowronek S, Aerts R, Ewald M, Feilhauer H, Honnay O, Decocq G, Van De Kerchove R, Somers B, Schmidtlein S, Rocchini D, Lenoir J (2018) The DIARS toolbox: a spatially explicit approach to monitor alien plant invasions through remote sensing. Research Ideas and Outcomes 4: e25301. https://doi.org/10.3897/rio.4.e25301
Figure 1 DIARS toolbox workflow. The green gears correspond to the sections of the toolbox and are accompanied by boxes stating its main goal. The gray gears describe the advantages of the DIARS toolbox.
Figure 5 from: Garzon-Lopez C, Hattab T, Skowronek S, Aerts R, Ewald M, Feilhauer H, Honnay O, Decocq G, Van De Kerchove R, Somers B, Schmidtlein S, Rocchini D, Lenoir J (2018) The DIARS toolbox: a spatially explicit approach to monitor alien plant invasions through remote sensing. Research Ideas and Outcomes 4: e25301. https://doi.org/10.3897/rio.4.e25301
Figure 5 Some examples of reconstructed images: A. Sylt island reconstructed image and plot locations (wavelengths: 170R, 65G, 17B). B. Compiègne Forest reconstructed image and plot locations (wavelengths: 207R, 65G, 10B).
Figure 3 from: Garzon-Lopez C, Hattab T, Skowronek S, Aerts R, Ewald M, Feilhauer H, Honnay O, Decocq G, Van De Kerchove R, Somers B, Schmidtlein S, Rocchini D, Lenoir J (2018) The DIARS toolbox: a spatially explicit approach to monitor alien plant invasions through remote sensing. Research Ideas and Outcomes 4: e25301. https://doi.org/10.3897/rio.4.e25301
Figure 3 Example of the workflow used for the mapping of alien plants. The same approach was used for all the tutorials.
ScienceDex guides
Understand access before you commit
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)
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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.