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761 results for “impact assessment”
Supplementary material 1 from: Dehnen-Schmutz K, Pescott OL, Booy O, Walker KJ (2022) Integrating expert knowledge at regional and national scales improves impact assessments of non-native species. NeoBiota 77: 79-100. https://doi.org/10.3897/neobiota.77.89448
Survey and Tables S1–S3
Supplementary material 3 from: Dehnen-Schmutz K, Pescott OL, Booy O, Walker KJ (2022) Integrating expert knowledge at regional and national scales improves impact assessments of non-native species. NeoBiota 77: 79-100. https://doi.org/10.3897/neobiota.77.89448
Figure S1
Supplementary material 2 from: Dehnen-Schmutz K, Pescott OL, Booy O, Walker KJ (2022) Integrating expert knowledge at regional and national scales improves impact assessments of non-native species. NeoBiota 77: 79-100. https://doi.org/10.3897/neobiota.77.89448
Table S2
Uncertainty in health impact assessments of smoke from a wildfire event
<p>Manuscript abstract: Wildfires cause elevated air pollution that can be detrimental to human health. However, health impact assessments associated with emissions from wildfire events are subject to uncertainty arising from different sources. Here, we quantify and compare major uncertainties in mortality and morbidity outcomes of exposure to fine particulate matter (PM<sub>2.5</sub>) pollution estimated for a series of wildfires in the Southeastern U.S. We present an approach to compare uncertainty in estimated health impacts specifically due to two driving factors, wildfire-related smoke PM<sub>2.5 </sub>fields and variability in concentration-response parameters from epidemiologic studies of ambient and smoke PM<sub>2.5</sub>. This analysis focused on the 2016 Southeastern United States wildfires suggests that emissions from these wildfires had public health consequences in North Carolina. Using multiple methods based on publicly available monitor data and atmospheric models to represent wildfire-attributable PM<sub>2.5</sub>, we estimate impacts on several health outcomes and quantify associated uncertainty. Multiple concentration-response parameters derived from studies of ambient and wildfire-specific PM<sub>2.5</sub> are used to assess health-related uncertainty. Results show large variability and uncertainty in wildfire impact estimates, with comparable uncertainties due to the smoke pollution fields and health response parameters for some outcomes, but substantially larger health-related uncertainty for several outcomes. Consideration of these uncertainties can support efforts to improve estimates of wildfire impacts and inform fire-related decision-making.</p>
Supplementary material 1 from: Dickey JWE, Arnott G, McGlade CLO, Moore A, Riddell GE, Dick JTA (2022) Threats at home? Assessing the potential ecological impacts and risks of commonly traded pet fishes. NeoBiota 73: 109-136. https://doi.org/10.3897/neobiota.73.80542
Table S1
Supplementary material 3 from: Dickey JWE, Arnott G, McGlade CLO, Moore A, Riddell GE, Dick JTA (2022) Threats at home? Assessing the potential ecological impacts and risks of commonly traded pet fishes. NeoBiota 73: 109-136. https://doi.org/10.3897/neobiota.73.80542
Figure S2
Supplementary material 2 from: Dickey JWE, Arnott G, McGlade CLO, Moore A, Riddell GE, Dick JTA (2022) Threats at home? Assessing the potential ecological impacts and risks of commonly traded pet fishes. NeoBiota 73: 109-136. https://doi.org/10.3897/neobiota.73.80542
Figure S1
Supplementary material 2 from: Brzoska P, Fügener T, Moderow U, Ziemann A, Schünemann C, Westermann J, Grunewald K, Maul L (2022) Towards a web tool for assessing the impact of climate change adaptation measures on heat stress at urban site level. One Ecosystem 7: e85559. https://doi.org/10.3897/oneeco.7.e85559
Table of data inputs/outputs
Supplementary material 1 from: Brzoska P, Fügener T, Moderow U, Ziemann A, Schünemann C, Westermann J, Grunewald K, Maul L (2022) Towards a web tool for assessing the impact of climate change adaptation measures on heat stress at urban site level. One Ecosystem 7: e85559. https://doi.org/10.3897/oneeco.7.e85559
Results of the internet search
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
Supplementary material 3 from: Bernardo-Madrid R, González-Moreno P, Gallardo B, Bacher S, Vilà M (2022) Consistency in impact assessments of invasive species is generally high and depends on protocols and impact types. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 163-190. https://doi.org/10.3897/neobiota.76.83028
Figure S1
Supplementary material 2 from: Bernardo-Madrid R, González-Moreno P, Gallardo B, Bacher S, Vilà M (2022) Consistency in impact assessments of invasive species is generally high and depends on protocols and impact types. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 163-190. https://doi.org/10.3897/neobiota.76.83028
Impact assessments and function to calculate G coefficient
Supplementary material 1 from: Bernardo-Madrid R, González-Moreno P, Gallardo B, Bacher S, Vilà M (2022) Consistency in impact assessments of invasive species is generally high and depends on protocols and impact types. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 163-190. https://doi.org/10.3897/neobiota.76.83028
Tables S1–S13
Supplementary material 1 from: Polce C, Maes J, Brander L, Cescatti A, Baranzelli C, Lavalle C, Zulian G (2016) Global change impacts on ecosystem services: a spatially explicit assessment for Europe. One Ecosystem 1: e9990. https://doi.org/10.3897/oneeco.1.e9990
Example of a simple Bayesian Network and brief description of its main components.
Supplementary material 2 from: Palo T, Lagercrantz K, Bramryd T, Johansson M, Beery T, Jönsson K, Wamsler C, Brink E, Schubert P, Ekelund N (2016) Priority areas in municipality planning: ecosystem services, environmental impact assessments and research areas. One Ecosystem 1: e9869. https://doi.org/10.3897/oneeco.1.e9869
Correlation and frequency of key words in planning documents.
Supplementary material 3 from: Polce C, Maes J, Brander L, Cescatti A, Baranzelli C, Lavalle C, Zulian G (2016) Global change impacts on ecosystem services: a spatially explicit assessment for Europe. One Ecosystem 1: e9990. https://doi.org/10.3897/oneeco.1.e9990
Regional classification of the 28 EU Member States, updated from Ciscar et al. (2011).
Figure 1 from: Underwood E, Taylor K, Tucker G (2018) The use of biodiversity data in spatial planning and impact assessment in Europe. Research Ideas and Outcomes 4: e28045. https://doi.org/10.3897/rio.4.e28045
Figure 1 Data use within the EIA process Own compilation based on information in (King et al. 2012).
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 :
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.