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206
datasets available to search
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Dataset results
206 results for “invasive potential”
Supplementary material 7 from: Frem M, Fucilli V, Nigro F, El Moujabber M, Abou Kubaa R, La Notte P, Bozzo F, Choueiri E (2021) The potential direct economic impact and private management costs of an invasive alien species: Xylella fastidiosa on Lebanese wine grapes. NeoBiota 70: 43-67. https://doi.org/10.3897/neobiota.70.72280
Table S7
Supplementary material 6 from: Frem M, Fucilli V, Nigro F, El Moujabber M, Abou Kubaa R, La Notte P, Bozzo F, Choueiri E (2021) The potential direct economic impact and private management costs of an invasive alien species: Xylella fastidiosa on Lebanese wine grapes. NeoBiota 70: 43-67. https://doi.org/10.3897/neobiota.70.72280
Table S6
Supplementary material 4 from: Frem M, Fucilli V, Nigro F, El Moujabber M, Abou Kubaa R, La Notte P, Bozzo F, Choueiri E (2021) The potential direct economic impact and private management costs of an invasive alien species: Xylella fastidiosa on Lebanese wine grapes. NeoBiota 70: 43-67. https://doi.org/10.3897/neobiota.70.72280
Table S4
Supplementary material 5 from: Frem M, Fucilli V, Nigro F, El Moujabber M, Abou Kubaa R, La Notte P, Bozzo F, Choueiri E (2021) The potential direct economic impact and private management costs of an invasive alien species: Xylella fastidiosa on Lebanese wine grapes. NeoBiota 70: 43-67. https://doi.org/10.3897/neobiota.70.72280
Table S5
Supplementary material 8 from: Frem M, Fucilli V, Nigro F, El Moujabber M, Abou Kubaa R, La Notte P, Bozzo F, Choueiri E (2021) The potential direct economic impact and private management costs of an invasive alien species: Xylella fastidiosa on Lebanese wine grapes. NeoBiota 70: 43-67. https://doi.org/10.3897/neobiota.70.72280
Table S8
Supplementary material 2 from: Frem M, Fucilli V, Nigro F, El Moujabber M, Abou Kubaa R, La Notte P, Bozzo F, Choueiri E (2021) The potential direct economic impact and private management costs of an invasive alien species: Xylella fastidiosa on Lebanese wine grapes. NeoBiota 70: 43-67. https://doi.org/10.3897/neobiota.70.72280
Table S2
Supplementary material 3 from: Frem M, Fucilli V, Nigro F, El Moujabber M, Abou Kubaa R, La Notte P, Bozzo F, Choueiri E (2021) The potential direct economic impact and private management costs of an invasive alien species: Xylella fastidiosa on Lebanese wine grapes. NeoBiota 70: 43-67. https://doi.org/10.3897/neobiota.70.72280
Table S3
Supplementary material 1 from: Frem M, Fucilli V, Nigro F, El Moujabber M, Abou Kubaa R, La Notte P, Bozzo F, Choueiri E (2021) The potential direct economic impact and private management costs of an invasive alien species: Xylella fastidiosa on Lebanese wine grapes. NeoBiota 70: 43-67. https://doi.org/10.3897/neobiota.70.72280
Table S1
Supplementary material 9 from: Frem M, Fucilli V, Nigro F, El Moujabber M, Abou Kubaa R, La Notte P, Bozzo F, Choueiri E (2021) The potential direct economic impact and private management costs of an invasive alien species: Xylella fastidiosa on Lebanese wine grapes. NeoBiota 70: 43-67. https://doi.org/10.3897/neobiota.70.72280
Field survey questionnaire
Supplementary material 2 from: Kenis M, Agboyi LK, Adu-Acheampong R, Ansong M, Arthur S, Attipoe PT, Baba A-SM, Beseh P, Clottey VA, Combey R, Dzomeku I, Eddy-Doh MA, Fening KO, Frimpong-Anin K, Hevi W, Lekete-Lawson E, Nboyine JA, Ohene-Mensah G, Oppong-Mensah B, Nuamah HSA, van der Puije G, Mulema J (2022) Horizon scanning for prioritising invasive alien species with potential to threaten agriculture and biodiversity in Ghana. NeoBiota 71: 129-148. https://doi.org/10.3897/neobiota.71.72577
Risk scores for potential invasive alien plant pests in Ghana
Supplementary material 1 from: Kenis M, Agboyi LK, Adu-Acheampong R, Ansong M, Arthur S, Attipoe PT, Baba A-SM, Beseh P, Clottey VA, Combey R, Dzomeku I, Eddy-Doh MA, Fening KO, Frimpong-Anin K, Hevi W, Lekete-Lawson E, Nboyine JA, Ohene-Mensah G, Oppong-Mensah B, Nuamah HSA, van der Puije G, Mulema J (2022) Horizon scanning for prioritising invasive alien species with potential to threaten agriculture and biodiversity in Ghana. NeoBiota 71: 129-148. https://doi.org/10.3897/neobiota.71.72577
Guidelines for horizon scanning for plant pests potentially threatening Ghana
Supplementary material 2 from: Madzivanzira TC, Weyl OLF, South J (2022) Ecological and potential socioeconomic impacts of two globally-invasive crayfish. NeoBiota 72: 25-43. https://doi.org/10.3897/neobiota.72.71868
Field and laboratory photos showing crayfish damage
Supplementary material 1 from: Madzivanzira TC, Weyl OLF, South J (2022) Ecological and potential socioeconomic impacts of two globally-invasive crayfish. NeoBiota 72: 25-43. https://doi.org/10.3897/neobiota.72.71868
Macrophyte dry weight determination and morphometric averages (± SE) of used animals
Data for: Evaluating potential sources of invasive wild pigs in Ontario
<p class="CxSpFirst">Invasive wild pigs (<i>Sus scrofa</i>) are considered one of the most damaging species globally, and once they become established in an area, they are notoriously difficult to eliminate. As such, identifying the potential pathways of invasion, especially in places with emerging populations, is critical for preventing new or continued invasion. Wild pigs have been reported in Ontario, Canada in recent years. We tested four non-exclusive hypotheses about the source of wild pigs in Ontario: 1) escapees from captive sources within Ontario; 2) invasion from neighboring jurisdictions; 3) existing wild populations within Ontario; and 4) translocation and illegal release. We found that sightings of Eurasian wild boar were closer to premises with wild boar than were random locations; wild boar sightings were an average of 16.3 km (SD = 25.4 km, min = 0.2 km, n = 20) from premises with wild boar. We also found that sightings of domestic pigs were closer to domestic pig farms than expected. Sightings of wild pigs in groups of more than four animals were rare. Our results suggest that wild pigs observed in Ontario are recent escapes from captivity, recognizing that there may be established groups of wild pigs that we have not yet detected. While not common, we also received reports indicating that in the past, wild pigs have been translocated and illegally released. Other North American jurisdictions that have been successful at eliminating wild pigs have removed existing populations and changed regulations to limit future invasion, such as prohibiting possession and transport of wild boar and prohibiting hunting of wild pigs.</p>
Figure1 in New records of alien and potentially invasive grass (Poaceae) species for southern Africa
Figure1. Agrostis capillaris; A, whole plant; B, junction of sheath and blade of a tiller [sheath should be expanded to see clearly that the ligule is shorter than broad]; C, inflorescence close-up; D, spikelets, lateral view; E, floret, ventral view, showing the well-developed palea. Image A of S.P. Sylvester et al. 3451 (US), B–E of S.P. Sylvester et al. 3451 (PRE).
Supplementary material 4 from: Karasawa S, Nakata K (2018) Invasion stages and potential distributions of seven exotic terrestrial isopods in Japan. BioRisk 13: 53-76. https://doi.org/10.3897/biorisk.13.23514
Pearson's correlation coefficients (r) between climatic variables for the regional model :
Supplementary material 5 from: Karasawa S, Nakata K (2018) Invasion stages and potential distributions of seven exotic terrestrial isopods in Japan. BioRisk 13: 53-76. https://doi.org/10.3897/biorisk.13.23514
AUC and variable contributions of the regional model :
Supplementary material 1 from: Karasawa S, Nakata K (2018) Invasion stages and potential distributions of seven exotic terrestrial isopods in Japan. BioRisk 13: 53-76. https://doi.org/10.3897/biorisk.13.23514
Row distribution data used to construct ENMs :
Supplementary material 2 from: Karasawa S, Nakata K (2018) Invasion stages and potential distributions of seven exotic terrestrial isopods in Japan. BioRisk 13: 53-76. https://doi.org/10.3897/biorisk.13.23514
How to use a searching system for distributions of terrestrial isopods in Japan :
Non-invasive monitoring of a reactive soil transition zone during water table fluctuations using spectral induced polarization (SIP) and electrodic potential (EP)
<p>Transition zones separating the unsaturated and saturated domains in soils are a hotspot for biogeochemical activity. They are challenging to study because they are dynamic, requiring high resolution temporal and spatial data acquisition methods to capture the biogeochemical processes across the water table. Non-invasive geophysical techniques, such as spectral induced polarization (SIP) and electrodic potential (EP), offer comparatively inexpensive monitoring approaches that yield data on changes in soil electrical properties, driven by reactive processes at high spatial and temporal resolutions. We investigated SIP and EP signal variations in artificial soil-filled columns, experiencing periodic water table fluctuations in order to: (1) assess the effectiveness of SIP and EP in monitoring a complex soil transition zone, and (2) couple the measured geophysical signals to changes in physical, chemical and microbial properties. SIP responses showed a clear dependence on the depth-distribution of microbial biomass. Dynamic imaginary conductivity (<em>σ''</em>) responses were only detected in the water table fluctuation zone and, in contrast to real conductivity (<em>σ'</em>) data, did not exhibit a direct soil moisture driven dependence. We attribute the observed dynamics in <em>σ'' </em>to microbially driven reactions. An EP anomaly arose concurrent to the production of SO<sub>4</sub><sup>2- </sup>as a result of oxygenation at depth during drainage of the columns. Our findings show that continuous SIP and EP signals, in conjunction with periodic measurements of geochemical indicators, can help determine the location and temporal variability of biogeochemical activity and be used to monitor targeted reaction zones and pathways in complex soil environments.</p>
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
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.