sineadcollins.bsky.social
@sineadcollins.bsky.social
Reposted
7. Model-averaging, by Peter Dillingham:

Explore how model-averaging enhances the analysis of multi-driver marine experiments with nested and crossed designs, using Arthrocardia under future ocean conditions as a case study:

nzoac.nz/s/Model-aver....
Model-averaging for experiments
nzoac.nz
April 28, 2025 at 11:55 AM
Reposted
6. Multiple driver response surfaces, by @mridulkthomas.bsky.social and @sineadcollins.bsky.social

Learn 3 ways to analyse data from a temperature x nutrients response surface experiment, and use the output to understand where in the oceans the species does well.

nzoac.nz/s/Response_s...
Fitting a response surface to data from multiple-driver experiments
nzoac.nz
April 28, 2025 at 11:55 AM
Reposted
5. Single-driver response curves, by @mridulkthomas.bsky.social and @sineadcollins.bsky.social

Learn how to fit a temperature response curve to a simulated phytoplankton growth rate experiment. Then use the curve to learn about how the species performs across space & time.

nzoac.nz/s/Single_dri...
Fitting a response curve (reaction norm) to data from single-driver experiments
nzoac.nz
April 28, 2025 at 11:55 AM
Reposted
4. Time-response variables, by Sam Dupont, Peter Dillingham & christinamcgraw.bsky.social

Dive into modelling time-response data with R, using a sea urchin experiment to explore how environmental factors shape growth over time:

nzoac.nz/s/Time_respo...
christinamcgraw.bsky.social
christinamcgraw.bsky.social
April 28, 2025 at 11:55 AM
Reposted
3. Blocking in time, by Steeve Comeau and @chrisecornwall.bsky.social

Learn how to estimate the effects of two drivers on a response when your experiment is ‘blocked’ i.e. experimental units grouped in time, often because it’s not feasible to do all at once.

nzoac.nz/s/Blocking_i...
Blocking in time
nzoac.nz
April 28, 2025 at 11:55 AM
Reposted
2. Analysing scenarios, by Steeve Comeau and @chrisecornwall.bsky.social

Learn how to estimate the effects of two drivers on a response when your experimental treatments are designed to reflect future climate scenarios.

nzoac.nz/s/Scenario_a...
Scenario approach
nzoac.nz
April 28, 2025 at 11:55 AM
Reposted
1. Statistical power, by Peter Dillingham:

Explore how to use R's built-in functions and simulations to assess the statistical power of a study on sea urchin growth under changing ocean conditions.

nzoac.nz/s/Power-vign...
Power calculation using built-in R functions or via simulation
nzoac.nz
April 28, 2025 at 11:55 AM
Reposted
Ever wondered how to analyse your experimental data? 🌊🧪🌍

We’ve developed a series of tutorials in R to guide you through analysing & visualising data from single & multiple driver experiments.

Beginners and experts, we've got something for all of you.

Please share!

meddle-scor149.org/vignettes/
Vignettes - Meddle
The MEDDLE data analysis tutorials illustrate statistical approaches for single and multiple driver experiments. The tutorials are not meant as an exhaustive list, nor do they replace formal statistic...
meddle-scor149.org
April 28, 2025 at 11:55 AM
Books and chocolates of the season.
December 31, 2024 at 10:46 AM
Reflections on 2024
December 30, 2024 at 9:36 PM
...because this is exactly what ice screws and drills are for, right? Our adventures in getting #diatomsofscience into and out of the ice alive continue @umeaunimarine.bsky.social
December 19, 2024 at 6:34 PM
Now we wait to see if our #diatomsofscience survived their adventures in our lab grown sea ice @umeaunimarine.bsky.social .
December 13, 2024 at 4:30 PM
Apparently ice diatoms get into the ice because scientists add them. And of course we take portraits of our #diatomsofscience before they star in experiments.
December 7, 2024 at 9:27 PM
Can we freeze our adventurous ice diatoms into lab-grown sea ice and then recover viable cells? Who knows? Follow the icy adventures of Porosira glacialis in our new experimental setup! #diatomsofscience
December 6, 2024 at 3:17 PM
There was a pop up MOMA (Museum of MicroAlgae) at the Glasgow Botanic Gardens. There were phytoplankton under microscopes (including some from the pond outside), bioluminescent cultures, origami and (my contribution) chocolate diatoms. It turns out people are really interested in phytoplankton.
December 1, 2024 at 4:22 PM