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The State Water Resources Control Board's (SWRCB) Surface Water Ambient Monitoring Program (SWAMP) has launched the SWAMP eDNA Metabarcoding Monitoring and Analysis Project (SeMMAP). The focus of SeMMAP is to discover how eDNA metabarcoding can help SWAMP maximize our resources while integrating our monitoring programs and expanding public engagement through partnerships with Tribal Governments and Community Science organizations.
Githubhttps://github.com/OIMA-SeMMAP/Repo/tree/main
Websitehttps://waterboards.maps.arcgis.com/home/item.html?id=db3a30220d0d4bdea684781cdaef5230
Sonification — When You Go Beyond the Visual Representation Of Data

I always remember going into all these historical landmarks and seeing them completely furnished and pretty but at the same time inert and lifeless. However, once you played contemporary music (or…

Towards Data Science

#openscience #communityscience #R #FAIRprinciples

 Tampa Bay Estuary Program Open Science Workshop  

We will cover core concepts of open science, with specific focus on collaborative tools for working together, principles of tidy data, and data stewardship. Anyone interested in using open science to accelarate research or management workflows is welcome to join.

https://events.r20.constantcontact.com/register/m?oeidk=a07ejgibn3w5d1be2fc&oseq=&c=2e888d66-ab09-11ea-b151-d4ae529a7ef1&ch=2e8ae46c-ab09-11ea-b151-d4ae529a7ef1

Tampa Bay Estuary Program Open Science Workshop

Please join us this February for the TBEP Open Science Workshop! We will cover core concepts of open science, with specific focus on collaborative tools for working together, principles of tidy data, and data stewardship. Anyone interested in using open science to accelarate research or management workflows is welcome to join.

Constant Contact
The Average Lot Size in Every U.S. State in 2022

Lot sizes in the U.S. are shrinking compared to a few decades ago. Here’s a look at the average lot size in every U.S. state.

Visual Capitalist

Want to follow a hashtag on Mastodon?

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Strengths and limits of long read metabarcoding

Metabarcoding is the large-scale taxonomic identification of complex environmental samples via analysis of DNA reads of one marker gene. Different marker genes are used, the 16S rRNA gene is mainly used to identify bacteria. We conducted a comparative study to understand the limitations and strengths of PacBio HiFi long read sequencing technology for metabarcoding analyses. We performed the same analyses on two types of datasets. A commercial ZymoBIOMICS mock community consisting of eight bacteria and 32 samples containing pig fecal microbiota from the ExpomycoPig project. We focused on the 16S-23S rRNA gene operon and sequenced 3 types of amplicons by metabarcoding: the V3-V4 region of the 16S rRNA, the full-length 16S rRNA gene and the full-length 16S-23S gene operon. We observe that by using HIFI long reads we increase the specificity of sample characterization. But when we analyze the 16S-23S amplicons, the specificity increases within the limit of the availability of the sequence in the databases that are much less comprehensive than the databases containing only 16S data. A strategy of affiliating 16S-23S amplicons on complementary databases (Silva 16S and 23S and a custom 16S-23S operon database) improves microbial identifications.

Anyone else enjoy a good #RibbonChart ?

Here's one available on our dashboard aka The Indicator Panel. It's great for comparisons of data spatially and temporally. Seen here it helps us compare duplicate #eDNA samples taken near Lassen Volcanic #NationalPark

https://experience.arcgis.com/experience/db3a30220d0d4bdea684781cdaef5230/page/Indicator-Panel-/

#metabarcoding #EnvironmentalDNA #DataViz #PowerBI #ScienceMastodon

Experience

Looking for interesting visual content to scroll? Check out the

#30DayMapChallenge

Like this map of population density in Georgia, courtesy of @gkankia