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29 results for “climatic characteristics”
Figure 4 from: Schweiger O, Harpke A, Wiemers M, Settele J (2014) CLIMBER: Climatic niche characteristics of the butterflies in Europe. ZooKeys 367: 65-84. https://doi.org/10.3897/zookeys.367.6185
Figure 4 - Temporal availability of records and corresponding sampling intensity. Only the period of 1981–2000 has been considered in CLIMBER.
Figure 6 from: Schweiger O, Harpke A, Wiemers M, Settele J (2014) CLIMBER: Climatic niche characteristics of the butterflies in Europe. ZooKeys 367: 65-84. https://doi.org/10.3897/zookeys.367.6185
Figure 6 - Work flow and data sources for the generation of CLIMBER. Butterfly distribution data are based on a database which combines information from local recorders and private, regional and national databases. Thereof, species distributional maps have been developed. Together with maps of original and derived climate variables, based on interpolated data from local weather stations, species distribution-climate relationships have been assessed in a GIS. Based on these relationships several statistics describing the climatic characteristics of 397 European butterfly species have been developed and stored in CLIMBER. Several steps of quality control ensure a high level of data accuracy. CRU; Climate Research Unit, University of East Anglia (http://www.cru.uea.ac.uk/). ALARM; EU, FP6 project 'Assessing Large Scale Risks for Biodiversity with Tested Methods' (http://www.alarmproject.net/climate/climate/).
Figure 5 from: Schweiger O, Harpke A, Wiemers M, Settele J (2014) CLIMBER: Climatic niche characteristics of the butterflies in Europe. ZooKeys 367: 65-84. https://doi.org/10.3897/zookeys.367.6185
Figure 5 - Taxonomic coverage according to the entire European butterfly fauna (a) and families (b). Values indicate number of species.
Figure 3 from: Schweiger O, Harpke A, Wiemers M, Settele J (2014) CLIMBER: Climatic niche characteristics of the butterflies in Europe. ZooKeys 367: 65-84. https://doi.org/10.3897/zookeys.367.6185
Figure 3 - Geographic coverage used for the calculation of the climatic species characteristics. Purple dots indicate 50 km × 50 km CGRS grid cells with available species records.
Figure 2 from: Schweiger O, Harpke A, Wiemers M, Settele J (2014) CLIMBER: Climatic niche characteristics of the butterflies in Europe. ZooKeys 367: 65-84. https://doi.org/10.3897/zookeys.367.6185
Figure 2 - Results from a principal component analysis of the species-specific mean values of six different climate variables. Mean values per species have been calculated based on the observed records per 50 km × 50 km CGRS grid cell across a species' European distribution. PC1 explained 58% and PC2 32% of the variability. Niche characteristics according to annual temperature (temp) and growing degree days until August (gdd) are highly correlated. Also, the two measures of water availability, annual precipitation (pre) and soil water content (swc) show some similarity, while the indicators of annual range in precipitation (pre.range) and temperature (temp.range) are negatively correlated. In spite of these similarities, aspects of energy, water and their annual variability can be assessed independently with a choice of at least three of the indicators.
Figure 1 from: Schweiger O, Harpke A, Wiemers M, Settele J (2014) CLIMBER: Climatic niche characteristics of the butterflies in Europe. ZooKeys 367: 65-84. https://doi.org/10.3897/zookeys.367.6185
Figure 1 - Proportion of species (%) with different climatic risk status after Settele at al. (2008) assuming full dispersal (a) and no dispersal capacity (b).
Data from: Climate effects on growth, body condition and survival depend on the genetic characteristics of the population
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Repository for data used in STOTEN article "Impacts of town characteristics on the changing urban climate in Vantaa"
<p>This dataset contains data used in the Science of The Total Environment journal article "Impacts of town characteristics on the changing urban climate in Vantaa" (https://doi.org/10.1016/j.scitotenv.2020.138471). The dataset includes:</p> <ul> <li>SURFEX air-surface interaction model results</li> <li>Observations from Helsinki-Vantaa airport</li> </ul> <p>SURFEX.zip contains SURFEX outputs used in the results section of the article.</p> <p>Verification_data.zip contains SURFEX outputs and meteorological observations used in the verification section of the article.</p> <p>E104.zip, E106.zip, E204.zip and E206.zip contain full SURFEX outputs for the four experiments conducted: A synthetic reference year representing the climate of the period 1980-2009 with no intervention (E104) and with green intervention (E106) and similarly for 2050s climate (E204 and E206).</p> <p>The STOTEN article "Impacts of town characteristics the changing urban climate in Vantaa" by Olli Saranko, Carl Fortelius, Kirsti Jylhä, Kimmo Ruosteenoja, Erika Brattich, Silvana Di Sabatino and Väinö Nurmi is provided in pdf-file 1-s2.0-S0048969720319847-main.pdf. The article is published in Science of The Total Environment journal, and is under a Creative Commons license (https://creativecommons.org/licenses/by-nc-nd/4.0/). This version is the pre-proof version.</p>
Lyme Borreliosis incidence in relation to mammalian abundance, climate, and landscape characteristics in Northern Europe
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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.