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761 results for “impact assessment”
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 2 from: Foxcroft LC, Spear D, van Wilgen NJ, McGeoch MA (2019) Assessing the association between pathways of alien plant invaders and their impacts in protected areas. NeoBiota 43: 1-25. https://doi.org/10.3897/neobiota.43.29644
: Data type: measurement
Supplementary material 1 from: Foxcroft LC, Spear D, van Wilgen NJ, McGeoch MA (2019) Assessing the association between pathways of alien plant invaders and their impacts in protected areas. NeoBiota 43: 1-25. https://doi.org/10.3897/neobiota.43.29644
: Data type: species data
Supplementary material 2 from: Bartz R, Kowarik I (2019) Assessing the environmental impacts of invasive alien plants: a review of assessment approaches. NeoBiota 43: 69-99. https://doi.org/10.3897/neobiota.43.30122
: Data type: description
Supplementary material 1 from: Bartz R, Kowarik I (2019) Assessing the environmental impacts of invasive alien plants: a review of assessment approaches. NeoBiota 43: 69-99. https://doi.org/10.3897/neobiota.43.30122
: Data type: measurement
Supplementary material 1 from: González-Moreno P, Lazzaro L, Vilà M, Preda C, Adriaens T, Bacher S, Brundu G, Copp GH, Essl F, García-Berthou E, Katsanevakis S, Moen TL, Lucy FE, Nentwig W, Roy HE, Srėbalienė G, Talgø V, Vanderhoeven S, Andjelković A, Arbačiauskas K, Auger-Rozenberg M-A, Bae M-J, Bariche M, Boets P, Boieiro M, Borges PA, Canning-Clode J, Cardigos F, Chartosia N, Cottier-Cook EJ, Crocetta F, D'hondt B, Foggi B, Follak S, Gallardo B, Gammelmo Ø, Giakoumi S, Giuliani C, Fried G, Jelaska LS, Jeschke JM, Jover M, Juárez-Escario A, Kalogirou S, Kočić A, Kytinou E, Laverty C, Lozano V, Maceda-Veiga A, Marchante E, Marchante H, Martinou AF, Meyer S, Michin D, Montero-Castaño A, Morais MC, Morales-Rodriguez C, Muhthassim N, Nagy ZA, Ogris N, Onen H, Pergl J, Puntila R, Rabitsch W, Ramburn TT, Rego C, Reichenbach F, Romeralo C, Saul W-C, Schrader G, Sheehan R, Simonović P, Skolka M, Soares AO, Sundheim L, Tarkan AS, Tomov R, Tricarico E, Tsiamis K, Uludağ A, van Valkenburg J, Verreycken H, Vettraino AM, Vilar L, Wiig Ø, Witzell J, Zanetta A, Kenis M (2019) Consistency of impact assessment protocols for non-native species. NeoBiota 44: 1-25. https://doi.org/10.3897/neobiota.44.31650
: Data type: statistical data
Supplementary material 2 from: González-Moreno P, Lazzaro L, Vilà M, Preda C, Adriaens T, Bacher S, Brundu G, Copp GH, Essl F, García-Berthou E, Katsanevakis S, Moen TL, Lucy FE, Nentwig W, Roy HE, Srėbalienė G, Talgø V, Vanderhoeven S, Andjelković A, Arbačiauskas K, Auger-Rozenberg M-A, Bae M-J, Bariche M, Boets P, Boieiro M, Borges PA, Canning-Clode J, Cardigos F, Chartosia N, Cottier-Cook EJ, Crocetta F, D'hondt B, Foggi B, Follak S, Gallardo B, Gammelmo Ø, Giakoumi S, Giuliani C, Fried G, Jelaska LS, Jeschke JM, Jover M, Juárez-Escario A, Kalogirou S, Kočić A, Kytinou E, Laverty C, Lozano V, Maceda-Veiga A, Marchante E, Marchante H, Martinou AF, Meyer S, Michin D, Montero-Castaño A, Morais MC, Morales-Rodriguez C, Muhthassim N, Nagy ZA, Ogris N, Onen H, Pergl J, Puntila R, Rabitsch W, Ramburn TT, Rego C, Reichenbach F, Romeralo C, Saul W-C, Schrader G, Sheehan R, Simonović P, Skolka M, Soares AO, Sundheim L, Tarkan AS, Tomov R, Tricarico E, Tsiamis K, Uludağ A, van Valkenburg J, Verreycken H, Vettraino AM, Vilar L, Wiig Ø, Witzell J, Zanetta A, Kenis M (2019) Consistency of impact assessment protocols for non-native species. NeoBiota 44: 1-25. https://doi.org/10.3897/neobiota.44.31650
: Data type: Spreadsheet template
Supplementary material 2 from: White RL, Strubbe D, Dallimer M, Davies ZG, Davis AJ.S, Edelaar P, Groombridge J, Jackson HA, Menchetti M, Mori E, Nikolov BP, Pârâu LG, Pečnikar Živa F, Pett TJ, Reino L, Tollington S, Turbé A, Shwartz A (2019) Assessing the ecological and societal impacts of alien parrots in Europe using a transparent and inclusive evidence-mapping scheme. NeoBiota 48: 45-69. https://doi.org/10.3897/neobiota.48.34222
: Data type: description, measurement
Supplementary material 1 from: White RL, Strubbe D, Dallimer M, Davies ZG, Davis AJ.S, Edelaar P, Groombridge J, Jackson HA, Menchetti M, Mori E, Nikolov BP, Pârâu LG, Pečnikar Živa F, Pett TJ, Reino L, Tollington S, Turbé A, Shwartz A (2019) Assessing the ecological and societal impacts of alien parrots in Europe using a transparent and inclusive evidence-mapping scheme. NeoBiota 48: 45-69. https://doi.org/10.3897/neobiota.48.34222
: Data type: background, description, measurement
Assessing the Impacts of Super Storm Flooding in the Transportation Infrastructure – Case Study: San Antonio, Texas
<p>Corresponding data set for Tran-SET Project No. 18HSTSA02. Abstract of the final report is stated below for reference:</p> <p>"Flooding are likely to increase worldwide due to climate change. Large storms, referred here as superstorms, defined as events with return period equal or larger than 100 years, can lead to an increase of property damages and loss of life. The ability to predict and plan for the impacts of superstorms on transportation infrastructure is key to mitigate future damages and losses. This study analyzed 51 combinations of future projections for representative concentration pathways (RCP) 4.5 and 8.5 scenarios, which were used to calculate future 1st and 3rd quartiles, median, minimum and maximum intensity-duration-frequency curves (IDF). A HEC-HMS and GSSHA models were built for Leon Creek and Upper San Antonio watersheds. HEC-RAS 1D and 2D were used to evaluate flooding in 20 bridges and the extent of flooded area and roads in both watersheds and to test flood control scenarios. Land use modification with 5, 10 and 15% of LID areas in the watersheds were simulated. The use of levees and altering channels were evaluated. In addition, we evaluated how an increasing the storage capacity of the Olmos Dam would contribute to reduce flood impacts downstream. Results show that the 3rd quartile of projected IDF is closest to the one originated with observed precipitation, which is likely to increase in the future. The near future (2025-2049) under RCP 4.5 scenario presented the greatest increase in intensity. HEC-HMS models showed that discharge peak will increase for all future periods under both scenarios, for the 100- and 500-years storms. Flood projections generated by GSSHA for 100- and 500-years and future precipitation showed that flooded area can increase significantly. For instance, the increase in flooded roads can be more than 80% in near future for 500-year storm in Leon Creek watershed. HEC-RAS analysis showed that all 20 analyzed bridges can be flooded with 500-years storm with climate change and 15 with the 100-year storm. Simulation showed that LID implementation and the elevation of the Olmos Dam’s crest were ineffective to protect transportation infrastructure. Enhancing cross-sections of the main channels and the use of levees can mitigate the impact in some bridges. This study illustrates the need for updates in the design criteria of current and future transportation infrastructure."</p>
Supplementary material 1 from: Strubbe D, White R, Edelaar P, Rahbek C, Shwartz A (2019) Advancing impact assessments of non-native species: strategies for strengthening the evidence-base. NeoBiota 51: 41-64. https://doi.org/10.3897/neobiota.51.35940
: Data type: species data
Data from: Assessing bottom-trawling impacts based on the longevity of benthic invertebrates
1. Bottom trawling is the most widespread human activity directly affecting seabed habitats. Assessment and effective management of the effects of bottom trawling at the scale of fisheries requires an understanding of differences in sensitivity of biota to trawling. Responses to disturbance are expected to depend on the intrinsic rate of increase of populations (r), which is expected to be linearly related to the reciprocal of longevity. 2. We examine the relationship between the longevity of benthic invertebrates and their response to bottom trawling; both in terms of the immediate mortality following a trawl pass and their subsequent rates of recovery. We collate all available data from experimental and comparative trawling studies, and test how longevity influences these aspects of sensitivity. 3. The shortest-lived organisms (<1yr) increased in abundance shortly after experimental trawling, but showed no response to trawling in longer-term comparative studies. Conversely, the abundance of biota with a life-span >1yr decreased by ~9% immediately following a trawl pass. The effect of bottom trawling in comparative studies increased with longevity, with a 2-3× larger effect on biota living >10yr than on biota living 1-3yr. We attribute this difference to the slower recovery rates of the longer-lived biota. 4. The observed relationship between the intrinsic rate of population increase (r, our metric of recovery rate) and the reciprocal of longevity matches theoretical expectation and predicts that the sensitivity of habitats to bottom trawling is higher in habitats with higher proportions of long-lived organisms. 5. Synthesis and Applications. Where the longevity of a species or the longevity distribution of a community is known or can be inferred, our estimates of depletion and intrinsic rate of increase can be combined with high-resolution maps of trawling intensity to assess trawling impacts at the scale of the fishery or other defined unit of assessment. Our estimates of r may also be used to estimate recovery times following other forms of seabed disturbance.06-Sep-2018
Bioacoustic dataset assessing the impact of festival music on bat activity
<p>Sound is a critical component of an animal's habitat, where it is used to glean important environmental information from their surroundings. The modification of natural soundscapes due to the global rise in anthropogenic noise pollution over recent decades can have serious negative impacts on species fitness and survival.</p> <p>Nocturnal species such as bats are reliant on sound for many aspects of their life history and are therefore highly sensitive to anthropogenic noise. Music festivals are a source of unregulated and potentially harmful, acute noise pollution however they have become ubiquitous across our landscapes throughout the summer months and are increasingly being held in settings important for wildlife.</p> <p>Using an experimental approach, we provide the first evidence of negative impacts of music festivals on bat activity in a habitat that represents a typical festival setting i.e. woodland edge. We found that loud music playback alone can reduce the activity of bats even in the absence of other anthropogenic factors commonly associated with music festivals such as lighting and habitat disturbance. Activity of <em>Nyctalus/Eptesicus</em> spp. was reduced along woodland edge habitats exposed to loud music whereas no effect was recorded for <em>Myotis</em> spp., <em>P. pygmaeus</em> and <em>P. pipistrellus</em> compared to quiet nights. We also provide the first evidence of the spatial scale of negative effects from festival music on activity for <em>P.pygmaeus</em> as well as highlighting differential responses between cryptic species.</p> <p>In light of the paucity of research or guidance into acute noise impacts on nocturnal biodiversity, we outline the potential negative impacts of music festivals for bats. We show that music alone can reduce the activity of bats even in the absence of other anthropogenic factors commonly associated with music festivals which could potentially fragment important habitats for certain species, leading to a degradation of functional connectivity across the landscape.</p>
Cross-scale assessment of the impacts of chronic seasonal drought and episodic typhoons on subtropical montane cloud forests
<p>The data that support the findings of this study.</p>
Health health impact assessment relevant output calculated from scenarios involving different levels of Near Term Climate Forcer mitigation
<p>This dataset contains output data from the health impact assessment using air pollutant concentrations from AerChemMIP model experiments in different Future Scenarios that involve the mitigation of Near-Term Climate Forcers, Climate and Land-use. The model experiments were conducted by UKESM1, a model contributing to CMIP6, and was run over the period 2015 to 2100 to investigate the effect of anthropogenic emissions on near-term climate forcers. The atmosphere only CMIP6 configuration of UKESM1 was used to run this set of experiments. Model simulations were conducted at a global resolution of 1.875° x 1.25°. These concentrations were then used to assess the impact of different mitigation pathways on the air pollution health burden. In addition, output is also provided from sensitivty scenarios that explore the impact that the total population count, age structure of the population and baseline mortality rates have on the calculated air pollution health burden.</p> <p>Outputs provided in the dataset include 10 year means of the global and regional total population count data, population weighted pollutant concentrations (both annual mean PM<sub>2.5</sub> and seasonal maximum ozone concentrations), total adult human health mortality (including the upper and lower 95% confidence intervals) in response to exposure to PM<sub>2.5</sub> and O<sub>3</sub> for different sensitivity scenarios.</p> <p>The second file (GEMM-5COD) represents the same set of calculations and data but using a different set of mortality outcomes (5 specific causes of disease) for PM2.5 exposure instead of non-accidential mortality (non-communicable disease) and all lower respiratory infections (GEMM NCD+LRI) in the original set of calculations.Further details can be found in the accompanying publication that uses the data.</p>
Assessing the Impact of myHealth Rewards Program-related Communications on Enrollment: Replication
ClinicalTrials.gov study NCT04289623. IPD Sharing: YES. Countries: 1. Publications: 0.
Assessing the Efficacy and Impact of Ambient AI Scribes in Healthcare
ClinicalTrials.gov study NCT07113938. IPD Sharing: NO. Countries: 0. Publications: 3.
A Clinical Trial Assessing The Impact Of Inhaled Insulin On Glucose Control In Patients With Type 2 Diabetes Mellitus
ClinicalTrials.gov study NCT00282971. IPD Sharing: Not stated. Countries: 7. Publications: 0.
Assessing the Effect of Strengthening Referral of Sick Children From the Private Health Sector and Its Impact on Referral Uptake in Uganda.
ClinicalTrials.gov study NCT02450630. IPD Sharing: Not stated. Countries: 0. Publications: 2.
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.