However, they didn’t have the high resolution of street-level maps. They were beautiful images, changing for every month of the year to see the differences in foliage and snow cover. Previous versions of Seasonality Core used NASA Blue Marble satellite images. Possibly the most obvious change is the new base map. There are several notable changes in the image above. ![]() Here’s a sneak peak at the new maps in Seasonality Core 3.0. The Seasonality Go update will include some other improvements I’ve been working on for awhile as well, so I look forward to finishing it up. Next I will be working on Seasonality Go and hope to have an update ready sometime in the next week. This update supports macOS 10.7 or later. You should see an update in the App Store sometime today (it’s going live as I write this). Seasonality Core 2.5 has been updated to use the new data source. I’m hoping to increase this further in the future. Now you’ll be able to download the last 7 days worth of data instead of just 4. The added benefit of this new source is that it can provide a lot more data to Seasonality. I believe the servers are in good shape for the update now. This data source has been used for a couple of years by Seasonality TV for the Apple TV, but I needed to fix some performance issues before opening it up to the much larger audience of Mac and iOS Seasonality users. Like I mentioned in the last post, the new data source is hosted on Seasonality’s weather servers. Branching points supported probabilities >95%, >75% and >50% by bootstrap analyses (based on 1000 replicates) are indicated by solid circle, open circles and open square, respectively.A lot of progress has been made since the data source for weather observations went offline a little over a week ago. The 16S rRNA gene sequences of Aquifex aeolicus VF5 (AE000657), Treponema prmitia ZAS-2 (CP001843) and Escherichia coli str. Boldface indicates the sequences obtained in this study or other drinking water systems. ( b and c) Distance matrix tree of 16S rRNA gene sequences assigned to known methylotrphs ( b) and the family Comamondaceae ( c) based on the neighbor-joining method. Highlighted OTUs are methylotroph- (blue) and Comamonadaceae-related (red). Lines indicate shared (solid), biofilm-only (dotted) and suspension-only (dashed) core populations. ( a) The taxonomy classification of core OTUs to family level and average relative abundance of each OTU in biofilm (closed) and suspended (open) communities. Phylogeny and abundance of core OTUs in biofilm and suspended communities. ![]() ![]() The findings of a distinctive biofilm community assemblage and methano-/methyltrophic primary production provide critical insights for developing more targeted water quality monitoring programs and treatment strategies for groundwater-sourced drinking water systems. This pattern was resilient to annual change and correlated to the cyclic fluctuations of core populations. Multivariate tests indicated seasonality as the main contributor to community structure variation. The biofilm communities shared with the suspended community highly abundant and prevalent OTUs, which related to methano-/methylotrophs (i.e., Methylophilaceae and Methylococcaceae) and aerobic heterotrophs (Sphingomonadaceae and Comamonadaceae), yet differed by specific core populations and lower diversity and evenness. Examined under a 'core-satellite' model, the biofilm community comprised 31 core populations that encompassed 76.7% of total 16 S rRNA gene pyrosequences. A positive correlation between operational taxonomic unit (OTU) abundance and occupancy was observed. Over a 2-year span, biomass were sampled from household water meters (n=213) and tap water (n=20) to represent biofilm and suspended communities, respectively. The studied DWDS in Urbana, Illinois received conventionally treated and disinfected water sourced from the groundwater. This study examined the diversity of biofilms in an urban DWDS, its relationship with suspended communities and its dynamics. Drinking water distribution systems (DWDSs) harbor the microorganisms in biofilms and suspended communities, yet the diversity and spatiotemporal distribution have been studied mainly in the suspended communities.
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