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- 4a17fe24-a5c5-4062-b5ee-27df140bd7d2 description "ADAM DataCube August 2007 MODIS Chlorophyll-a Concentration(monthly)" assertion.
- 4c327345-95ab-4853-a15e-b631e754d4fb description "Single-celled algae that rely on sunlight to survive form the basis of the food chain throughout the world’s oceans. In the Arctic, these algae can live in sea ice (ice algae) and in the water column (phytoplankton). Scientists use satellite-based observations of chlorophyll (the green pigment vital for photosynthesis) as a proxy for phytoplankton productivity. According to the 15th annual Arctic Report card, the productivity of these microscopic ocean plants has increased as summer sea ice has declined over the past two decades." assertion.
- 4e5bd422-4497-44ca-ad42-218ceee7fe45 description "This is a Python script where all the functions used in the Jupyter Notebook were gathered. This Python script needs to be downloaded with the Jupyter Notebook and must be in the same folder than the Jupyter Notebook itself." assertion.
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- 573f8562-5e8e-43ac-bc06-8bdb1b5acf8e description "Time evolution of chlorophyll concentrations in Bering Strait and Fram Straits. Blue dots mark satellite measured values (MODIS-Aqua). The trends in yearly mean and yearly maximum values for satellite data with significance level <= 0.05 are also plotted, as well as the GFDL-ESM4 and MPI-ESM1-2-LR chlorophyll values for the same periods." assertion.
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- 78355681-c255-47d5-9104-73974325ecc3 description "Ocean Color Data: Modis-aqua_chl-a (JJA, 2002-2018) downloaded from the ADAM Platform (https://reliance.adamplatform.eu/) used furing the FORCeS eScience course 'Tools in Climate Science: Linking Observations with Modelling'." assertion.
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- 844890d3-3e0e-4b74-bfaf-dc1c99855f12 description "This is a tarball for the Docker climate-JupyterLab image - Version 2021-03-18 To use it: download the image file docker-climate-notebook-2021-03-18.tar load it with docker with the command: docker load --input docker-climate-notebook-2021-03-18.tar launch the Docker container binding of your data folder (on the local machine) with the /import folder i(inside the container) with the command: docker run -v my_data_folder:/import -p 7777:8888 quay.io/nordicesmhub/docker-climate-notebook:2021-03-18 start your favorite web browser and go to: http://localhost:7777/ipython/ See https://github.com/NordicESMhub/docker-climate-notebook for more details" assertion.
- 856590db-028a-4af9-b33f-4650cd92d195 description "This is the final report written for the FORCeS eScience course 'Tools in Climate Science: Linking Observations with Modelling'. It has been built from the Jupyter Notebook and also contains the scientific discussion of the results as well as references." assertion.
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- 8e2332bf-67e3-4de8-bcf6-0b2a28bc7ec2 description "This jupyter notebook support the report written for the FORCeS eScience course 'Tools in Climate Science: Linking Observations with Modelling'" assertion.
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