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206
datasets available to search
ShareScore release 0.9.0
Dataset results
206 results for “invasive potential”
Supplementary material 3 from: Dickey JWE, Cuthbert RN, Rea M, Laverty C, Crane K, South J, Briski E, Chang X, Coughlan NE, MacIsaac HJ, Ricciardi A, Riddell GE, Xu M, Dick JTA (2018) Assessing the relative potential ecological impacts and invasion risks of emerging and future invasive alien species. NeoBiota 40: 1-24. https://doi.org/10.3897/neobiota.40.28519
R Script Biplot Creation :
Supplementary material 5 from: Dickey JWE, Cuthbert RN, Rea M, Laverty C, Crane K, South J, Briski E, Chang X, Coughlan NE, MacIsaac HJ, Ricciardi A, Riddell GE, Xu M, Dick JTA (2018) Assessing the relative potential ecological impacts and invasion risks of emerging and future invasive alien species. NeoBiota 40: 1-24. https://doi.org/10.3897/neobiota.40.28519
Outlining RIP and RIR data :
Supplementary material 1 from: Dickey JWE, Cuthbert RN, Rea M, Laverty C, Crane K, South J, Briski E, Chang X, Coughlan NE, MacIsaac HJ, Ricciardi A, Riddell GE, Xu M, Dick JTA (2018) Assessing the relative potential ecological impacts and invasion risks of emerging and future invasive alien species. NeoBiota 40: 1-24. https://doi.org/10.3897/neobiota.40.28519
Table S1 The locations of the 20 pet shops surveyed across Northern Ireland :
Supplementary material 4 from: Dickey JWE, Cuthbert RN, Rea M, Laverty C, Crane K, South J, Briski E, Chang X, Coughlan NE, MacIsaac HJ, Ricciardi A, Riddell GE, Xu M, Dick JTA (2018) Assessing the relative potential ecological impacts and invasion risks of emerging and future invasive alien species. NeoBiota 40: 1-24. https://doi.org/10.3897/neobiota.40.28519
R Script Triplot Creation :
Supplementary material 1 from: Foster JD, Ellis AG, Foxcroft LC, Carroll SP, Le Roux JJ (2019) The potential evolutionary impact of invasive balloon vines on native soapberry bugs in South Africa. NeoBiota 49: 19-35. https://doi.org/10.3897/neobiota.49.34245
: Data type: measurements
Supplementary material 3 from: Haubrock PJ, Cuthbert RN, Yeo DCJ, Banerjee AK, Liu C, Diagne C, Courchamp F (2021) Biological invasions in Singapore and Southeast Asia: data gaps fail to mask potentially massive economic costs. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 131-152. https://doi.org/10.3897/neobiota.67.64560
Annual average costs of biological invasions in Singapore. Note the y-axis is on a log10 scale
Supplementary material 2 from: Haubrock PJ, Cuthbert RN, Yeo DCJ, Banerjee AK, Liu C, Diagne C, Courchamp F (2021) Biological invasions in Singapore and Southeast Asia: data gaps fail to mask potentially massive economic costs. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 131-152. https://doi.org/10.3897/neobiota.67.64560
Database subset
Environmental data from: Potential distributions of invasive vertebrates in the Iberian Peninsula under projected changes in climate extreme events
<p>This dataset includes climatic variables representing extreme events indices defined by the World Meteorological Organization (<a href="https://public.wmo.int/en">https://public.wmo.int/en</a>). The variables were calculated based on five Regional Climate Models or RCMs (UAHE-REM, UCAN-WRA, UCAN-WRB, UCLM-PRO and UMUR-MM5) for the periods 1971-2000 ('current climate') and 2021-2050 ('future climate') under the SRES A1B Emissions Scenario. We used RCMs instead of global climate models (GCMs) because the latter have an overly coarse resolution compared to the spatial resolution of our species distribution data. Since RCMs downscale climate fields from GCMs, they provide information at fine (meso or micro) scales that are more accurate for studies of regional phenomena and for application to climate impact assessments. Climatic variables were calculated in collaboration with the Numerical Modelling Group for the Environment and Climate (MOMAC, <a href="https://www.uclm.es/grupos/momac">https://www.uclm.es/grupos/momac</a>) of the University of Castilla-La Mancha (UCLM).</p>
Geophysical and geochemical proxies of Neolithic sites from Thessaly: a comparative study on the potential of soil magnetic susceptibility and phosphate analyses for minimally invasive location and interpretation of buried features.
<p>Results of the soil analyses and site locations</p>
Supplementary material 1 from: Mohammed E, Amen R, Abdelwahab HM, Winkelmann C (2023) Potential impacts of invasive crayfish on native benthic fish: shelter use and agonistic behaviour. NeoBiota 83: 131-153. https://doi.org/10.3897/neobiota.83.102975
Activity index (AI) box plots
Non-invasive Neuromodulation NESA Through Somatosensory Evoked Potentials and Sympathetic-cutaneous Responses
ClinicalTrials.gov study NCT04962737. IPD Sharing: Not stated. Countries: 0. Publications: 4.
The genetic drivers for the successful invasive potential of a generalist bird, the House crow
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Data from: High invasion potential of Hydrilla verticillata in the Americas predicted using ecological niche modeling combined with genetic data
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Decreased coevolutionary potential and increased symbiont fecundity during the biological invasion of a legume-rhizobium mutualism
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Data from: Tracking the origins of fly invasions; using mitochondrial haplotype diversity to identify potential source populations in two genetically intertwined fruit fly species (Bactrocera carambolae and Bactrocera dorsalis [Diptera: Tephritidae])
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Data for: Evaluating potential sources of invasive wild pigs in Ontario
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Data from: Spartina alterniflora invasion drastically increases methane production potential by shifting methanogenesis from hydrogenotrophic to methylotrophic pathway in a coastal marsh
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Environmental data from: Potential distributions of invasive vertebrates in the Iberian Peninsula under projected changes in climate extreme events
Open the record for dataset details and reuse information.
Elucidation of focal adhesion kinase as a modulator of migration and invasion and as a potential therapeutic target in chronic lymphocytic leukemia (miRNA-Seq)
GEO Series GSE198453. Homo sapiens. 16 samples. Type: Non-coding RNA profiling by high throughput sequencing.
VIVA1: A more Invasive Subclone of MDA-MB-134VI Invasive Lobular Carcinoma Cells With Increased Metastatic Potential in Xenograft Models
GEO Series GSE197155. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
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)
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.