{"id":19508025,"url":"https://github.com/annarufas/ocean-data-lab","last_synced_at":"2026-04-19T06:49:26.113Z","repository":{"id":261101240,"uuid":"881872977","full_name":"annarufas/ocean-data-lab","owner":"annarufas","description":"MATLAB code for reading, formatting and visualising popular, freely-available oceanographic datasets.","archived":false,"fork":false,"pushed_at":"2026-02-13T15:58:02.000Z","size":136,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2026-02-13T22:38:50.895Z","etag":null,"topics":["cmems","cmip6-data-download","co2sys","esa","gebco","globcolour","glodap","lops-ifremer","matlab","nasa-data","noaa-data","occci","ocean-data","ocean-productivity-site","world-ocean-atlas"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/annarufas.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":".github/FUNDING.yml","license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":"CITATION.cff","codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null},"funding":{"github":["annarufas"],"patreon":null,"open_collective":null,"ko_fi":null,"tidelift":null,"community_bridge":null,"liberapay":null,"issuehunt":null,"lfx_crowdfunding":null,"polar":null,"buy_me_a_coffee":null,"thanks_dev":null,"custom":null}},"created_at":"2024-11-01T12:20:18.000Z","updated_at":"2026-02-13T15:30:15.000Z","dependencies_parsed_at":"2025-04-11T22:18:31.142Z","dependency_job_id":null,"html_url":"https://github.com/annarufas/ocean-data-lab","commit_stats":null,"previous_names":["annarufas/ocean-data-lab"],"tags_count":2,"template":false,"template_full_name":null,"purl":"pkg:github/annarufas/ocean-data-lab","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/annarufas%2Focean-data-lab","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/annarufas%2Focean-data-lab/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/annarufas%2Focean-data-lab/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/annarufas%2Focean-data-lab/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/annarufas","download_url":"https://codeload.github.com/annarufas/ocean-data-lab/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/annarufas%2Focean-data-lab/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31997804,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-18T20:23:30.271Z","status":"online","status_checked_at":"2026-04-19T02:00:07.110Z","response_time":55,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cmems","cmip6-data-download","co2sys","esa","gebco","globcolour","glodap","lops-ifremer","matlab","nasa-data","noaa-data","occci","ocean-data","ocean-productivity-site","world-ocean-atlas"],"created_at":"2024-11-10T23:02:56.882Z","updated_at":"2026-04-19T06:49:26.105Z","avatar_url":"https://github.com/annarufas.png","language":"Jupyter Notebook","funding_links":["https://github.com/sponsors/annarufas"],"categories":[],"sub_categories":[],"readme":"[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.14544997.svg)](https://doi.org/10.5281/zenodo.14544997)\n\n# MATLAB Tools to Work with Oceanographic Datasets\n\nThis repository contains a collection of MATLAB scripts that I have developed for reading, formatting and visualising freely-available oceanographic datasets stored in `.nc` (NetCDF) files. It includes tools to organise data into a four-dimensional structure: `latitudes x longitudes x depth levels x 12 months`, essentially creating a climatology. This structure facilitates further data processing, such as data-model validation or model input preparation. Developed across various projects, I actively maintain and update these scripts to meet evolving research needs.\n\n![fig_monthly_npp_carr2002_modis_zeuc02](https://github.com/user-attachments/assets/575ce382-6daf-4242-b8e5-d00b324a0245)\n*Monthly climatology of net primary production (NPP) using the Carr 2002 algorithm forced with chla and PAR0 from NASA's Aqua-MODIS sensor, SST from AVHRR Pathfinder, and euphotic zone calculated from the algorithm proposed in Carr 2002.*\n\n## Requirements\n\n*⚠️ Note: These instructions are designed and tested specifically for macOS. While they may work on other operating systems (e.g., Windows or Linux), you might need to adapt the installation code accordingly.*\n\nTo use the content of this repository, ensure you have the following.\n- [MATLAB](https://mathworks.com/products/matlab.html) version R2021a or later installed.\n- Third-party functions downloaded from [MATLAB's File Exchange](https://mathworks.com/matlabcentral/fileexchange/): `worstcase`, `m_map`, `brewermap` and `subaxis`. Once downloaded, place these in the `./resources/external/` directory.\n- [CO2SYS algorithm](https://www.ncei.noaa.gov/access/ocean-carbon-acidification-data-system/oceans/CO2SYS/co2rprt.html) for carbonate system calculations. Once downloaded, place it in the `./resources/external/` directory.\n- [SEAWATER toolbox](https://www.cmar.csiro.au/datacentre/ext_docs/seawater.html) to calculate seawater density. Once downloaded, place it in the `./resources/external/` directory.\n- `copernicusmarine` toolbox, essential for downloading oceanographic data from the Copernicus Marine Environmental Monitoring Service (CMEMS). Installation instructions are in this related [repository](https://github.com/annarufas/jupyter-matlab-ocean-satellite-data-toolbox).\n- Jupyter Notebook, included in the latest [Anaconda Python distribution](https://www.anaconda.com/).\n\n## Repository Structure\n\n - `./code/`: scripts for downloading, reading, formating and visualising data (*provided, see \"Scripts Overview\"*)\n    - `./matlab/`: MATLAB scripts\n    - `./jupyter/`: Jupyter Notebooks\n    - `./bash/`: bash scripts\n - `./data/`\n    - `./raw/`: raw data downloaded from source URLs (*not provided, see below for details*).\n    - `./processed/`: processed data generated by code (*not provided, see below for details*).\n- `./resources/`\n    - `./external/`: third-party resources for plotting and functions (*see \"Requirements\" section*).\n    - `./internal/`: custom MATLAB functions generated specifically for plotting (*provided*).\n- `./figures/`: figures generated from processed data (*not ptovided*).\n\nDue to large file sizes and variety of licenses that limit re-distribution of data in various ways, raw data are not hosted in `./data/raw/`. Instead, the links for manually obtaining these data (`.nc` files) are provided in the \"Data Sources\" section below as well as within the MATLAB scripts in `./code/`. If manual access is difficult, we iclude scripts to download data programmatically. Note that data URLs may change over time, potentially interrupting access. The processed data created by the MATLAB scripts (`.mat`) are in `./data/processed/` but cannot be provided due to their large size.\n\n## Data Sources\n\nThe oceanographic datasets used in this repository are sourced from the following open-access resources:\n\n| Open-access resource                                | Sector                             |\n|-----------------------------------------------------|------------------------------------|\n| Copernicus Marine Environmental Monitoring Service ([CMEMS](https://data.marine.copernicus.eu/products)) Data Store | Ocean biogeochemistry, ocean physics and ocean colour |\n| Earth System Grid Federation ([ESGF](https://aims2.llnl.gov/search/cmip6/?mip_era=CMIP6)) | Climate data from Coupled Model Intercomparison Projects phase 6 (CMIP6) |\n| ESA Biological Pump and Carbon Exchange Processes ([BICEP](https://bicep-project.org/About.html)) project | Ocean colour and ocean biogeochemistry |\n| ESA [GlobColour project](https://hermes.acri.fr)    | Ocean colour         |\n| ESA Sea Ice Climate Change Initiative ([ESA-CCI](https://climate.esa.int/en/projects/sea-ice/)) | Sea ice concentration |\n| ESA Ocean Colour Climate Change Initiative ([OC-CCI](https://www.oceancolour.org)) | Ocean colour |\n| General Bathymetric Chart of the Ocean ([GEBCO](https://www.gebco.net/data_and_products/gridded_bathymetry_data/#global)) | Bathymetry |\n| Global Ocean Data Analysis Project ([GLODAP](https://glodap.info)) | Ocean biogeochemistry, physics and carbonate system variables |\n| Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER) [Mixed Layer Depth Climatology](https://cerweb.ifremer.fr/deboyer/mld/home.php) website | Mixed layer depth |\n| NASA [Ocean Color](https://oceancolor.gsfc.nasa.gov) website | Ocean colour |\n| NOAA National Centers for Environmental Information (NCEI) [AVHRR Pathfinder SST](https://www.ncei.noaa.gov/products/avhrr-pathfinder-sst) | Sea surface temperature |\n| NOAA National Centers for Environmental Information (NCEI) [World Ocean Atlas](https://www.ncei.noaa.gov/products/world-ocean-atlas) | Ocean biogeochemistry and ocean physics |\n| Oregon State University's [Ocean Productivity Site](http://orca.science.oregonstate.edu/npp_products.php) | Net primary production |\n\n## Datasets Used\n\nThe specific oceanographic datasets accessed and processed by this repository include:\n\n- Aeolian dust deposition\n    - CMIP6 [NCAR-CESM2 historical simulation](https://aims2.llnl.gov/search/cmip6/)\n- Bathymetry \n    - [GEBCO](https://www.gebco.net/data_and_products/gridded_bathymetry_data/#global)\n- Carbonate system variables (carbonate ion concentration, omega calcite and omega aragonite)\n    - [GLODAPv2.2016b](https://www.nodc.noaa.gov/archive/arc0107/0162565/2.2/data/0-data/mapped/)/[CO2SYS](https://www.ncei.noaa.gov/access/ocean-carbon-acidification-data-system/oceans/CO2SYS/co2rprt.html)\n- Chlorophyll *a* (chla) concentration\n    - [NASA Aqua-MODIS sensor](https://oceancolor.gsfc.nasa.gov/about/missions/aqua/)\n    - [NASA SeaWiFS sensor](https://oceancolor.gsfc.nasa.gov/about/missions/seawifs/)\n    - [OC-CCI](https://www.oceancolour.org/thredds/ncss/cci/v6.0-release/geographic/monthly/chlor_a/)\n    - [CMEMS global BGC reanalysis](https://data.marine.copernicus.eu/product/OCEANCOLOUR_GLO_BGC_L4_MY_009_104/description)\n- Cloud cover\n    - [Pincus et al. (2008)](https://doi.org/10.1029/2007JD009334)\n- Diffuse attenuation coefficient at 490 nm (k\u003csub\u003ed\u003c/sub\u003e(490))\n     - [NASA Aqua-MODIS sensor](https://oceancolor.gsfc.nasa.gov/about/missions/aqua/)\n     - [CMEMS global BGC reanalysis](https://data.marine.copernicus.eu/product/OCEANCOLOUR_GLO_BGC_L4_MY_009_104/description) \n- Dynamic viscosity of seawater \n    - Calculated from salinity and temperature [World Ocean Atlas 2023](https://www.ncei.noaa.gov/access/world-ocean-atlas-2023/) using [MIT seawater properties library routines](https://web.mit.edu/seawater/))\n- Euphotic layer depth (z\u003csub\u003eeu\u003c/sub\u003e)\n    - Calculated from (1) k\u003csub\u003ed\u003c/sub\u003e(490) from [CMEMS global BGC reanalysis](https://data.marine.copernicus.eu/product/OCEANCOLOUR_GLO_BGC_L4_MY_009_104/description) or [NASA Aqua-MODIS sensor](https://oceancolor.gsfc.nasa.gov/about/missions/aqua/), and (2) MLD from CMEMS global BGC reanalysis or [IFREMER](https://cerweb.ifremer.fr/deboyer/data/mld_DReqDTm02_c1m_reg2.0.nc) using the equations of in Fox et al. ([2024](https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2024GB008149)), after Morel \u0026 Maritorena (2001), Morel et al. (2007) and Buesseler et al. (2020)\n- Mixed layer depth (MLD)\n    - [CMEMS global PHYS reanalysis](https://data.marine.copernicus.eu/product/GLOBAL_MULTIYEAR_PHY_001_030/description)\n    - [IFREMER](https://cerweb.ifremer.fr/deboyer/data/mld_DReqDTm02_c1m_reg2.0.nc)\n- Net primary production (NPP)\n    - [Oregon State University's Ocean Productivity Site](http://orca.science.oregonstate.edu/npp_products.php) (VGPM, CbPM, CAFE)\n    - [BICEP](https://catalogue.ceda.ac.uk/uuid/69b2c9c6c4714517ba10dab3515e4ee6/)\n    - [CMEMS global BGC reanalysis](https://data.marine.copernicus.eu/product/OCEANCOLOUR_GLO_BGC_L4_MY_009_104/description)\n    - Carr ([2002](https://doi.org/10.1016/S0967-0645(01)00094-7)) model\n- Nutrients (nitrate, silicate, phosphate and dissolved oxygen concentration)\n    - [World Ocean Atlas 2023](https://www.ncei.noaa.gov/access/world-ocean-atlas-2023/)\n- Photosynthetic active radiation at the surface ocean (PAR\u003csub\u003e0\u003c/sub\u003e)\n    - [NASA Aqua-MODIS sensor](https://oceancolor.gsfc.nasa.gov/about/missions/aqua/)\n    - [NASA SeaWiFS sensor](https://oceancolor.gsfc.nasa.gov/about/missions/seawifs/)\n    - [GlobColour merged sensors](https://hermes.acri.fr/index.php?class=archive)\n    - Calculated using astronomic/trigonometric equations and data inputs of sea ice fraction from [CMEMS global PHYS reanalysis](https://data.marine.copernicus.eu/product/GLOBAL_MULTIYEAR_PHY_001_030/description) and cloud cover fraction from [Pincus et al. (2008)](https://doi.org/10.1029/2007JD009334)\n- Particulate organic carbon flux at export depth (a.k.a. export production)\n    - [BICEP](https://catalogue.ceda.ac.uk/uuid/a6fc730d88fd4935b59d64903715d891)\n- Phytoplankton carbon (Cphyto)\n    - [BICEP](https://catalogue.ceda.ac.uk/uuid/6a6ccbb8ef2645308a60dc47e9b8b5fb/)\n- Salinity\n    - [World Ocean Atlas 2023](https://www.ncei.noaa.gov/access/world-ocean-atlas-2023/)\n- Sea ice concentration\n    - [CMEMS global PHYS reanalysis](https://data.marine.copernicus.eu/product/GLOBAL_MULTIYEAR_PHY_001_030/description)\n    - [ESA-CCI](https://climate.esa.int/en/projects/sea-ice/)\n- Sea surface temperature (SST)\n    - NOAA National Centers for Environmental Information (NCEI) [AVHRR Pathfinder SST](https://www.ncei.noaa.gov/products/avhrr-pathfinder-sst)\n- Seawater density\n    - Calculated from salinity and temperature from [World Ocean Atlas 2023](https://www.ncei.noaa.gov/access/world-ocean-atlas-2023/) using the [Gibbs-SeaWater (GSW) Oceanographic Toolbox](https://www.teos-10.org/))\n- Seawater temperature\n    - [World Ocean Atlas 2023](https://www.ncei.noaa.gov/access/world-ocean-atlas-2023/)\n    - [CMEMS global PHYS reanalysis](https://data.marine.copernicus.eu/product/GLOBAL_MULTIYEAR_PHY_001_030/description)\n- Mesozooplankton concentration\n    - CMIP6 [IPSL-PISCES historical simulation](https://aims2.llnl.gov/search/cmip6/)\n    - CMIP6 [GFDL-COBALT historical simulation](https://aims2.llnl.gov/search/cmip6/)\n    - CMIP6 [UKESM-MEDUSA historical simulation](https://aims2.llnl.gov/search/cmip6/)\n\n## Scripts Overview\n\nThe following scripts are available in the `./code/` folder. Notice all datasets produced are `latitudes x longitudes x (depth levels) x 12 months`.\n\n| Num| Script name                                    | Script action                                           |\n|----|------------------------------------------------|----------------------------------------------------------\n| 1  | downloadBGCandPHYSfromCMEMS.ipynb              | Downloads BGC and PHYS L4 data from CMEMS. Must be run before script 6  |                     \n| 2  | downloadChlaFromOCCCI.m                        | Downloads merged-sensor, L3 chla data from OC-CCI. Must be run before `ncreadChlaFromNASAandOCCCI.m` |  \n| 3  | downloadOCfromGlobColour.ipynb                 | Downloads merged-sensor, L3 PAR\u003csub\u003e0\u003c/sub\u003e data from GlobColour. Must be run before `ncreadPAR0fromGlobColour.m`  | \n| 4  | downloadSeaIceFromESACCI.ipynb                 | Downloads sea ice concentration climate data record from the AMSR-E and AMSR-2 instruments at 25 km grid spacing from ESA-CCI. Must be run before `ncreadSeaIceFromESACCI.m` |\n| 5  | ncreadAerosolDustDepositionFromCMIP6.m         | Creates `dustflux_cmip6_ncarcesm2.mat` (192 x 288 x 12) |\n| 6  | ncreadBathymetryFromGEBCO.m                    | Creates `bathymetry_gebco.mat` (1080 x 2160)            |\n| 7  | ncreadBGCandPHYSfromCMEMS.m                    | Creates `chla_cmems_bgc.mat`, `kd_cmems_bgc.mat`, `mld_cmems_phys.mat`, `icefrac_cmems_phys.mat` (1080 x 2160 x 12) and `temp_cmems_phys.mat` (1080 x 2160 x 50 x 12) |\n| 8  | ncreadBGCandPHYSfromWOA.m                      | Creates `nit_monthly_woa23.mat`, `phos_monthly_woa23.mat`, `sil_monthly_woa23.mat`, `oxy_monthly_woa23.mat`, `temp_monthly_woa23.mat`, `sal_monthly_woa23.mat` (180 x 360 x 102 x 12) and `temp_annual_woa23.mat` (180 x 360 x 102) |\n| 9  | ncreadChlaFromNASAandOCCCI.m                   | Creates `chla_modis.mat` (4320 x 8640 x 12), `chla_seawifs.mat` (2160 x 4320 x 12) and `chla_occci.mat` (4320 x 8640 x 12) | \n| 10 | ncreadCloudCoverFromPincus.m                   | Creates `cloudcover_pincus.mat` (72 x 144 x 12)         |\n| 11 | ncreadExportFluxFromBICEP.m                    | Creates `export_flux_bicep.mat` (2160 x 4320 x 12)      |\n| 12 | ncreadKdFromNASA.m                             | Creates `kd_modis.mat` (4320 x 8640 x 12)               |\n| 13 | ncreadNPPfromBICEP.m                           | Creates `npp_bicep.mat` (2160 x 4320 x 12)              |\n| 14 | ncreadNPPfromOceanProductivitySite.m           | Creates `npp_cafe_seawifs.mat`, `npp_cafe_modis.mat`, `npp_cbpm_modis.mat` and `npp_vgpm_modis.mat` (1080 x 2160 x 12)  |\n| 15 | ncreadMLDfromIFREMER.m                         | Creates `mld_ifremer.mat` (90 x 180 x 12)               |\n| 16 | ncreadPAR0fromGlobColour.m                     | Creates `par0_globcolour.mat` (180 x 360 x 12)          |\n| 17 | ncreadPAR0fromNASA.m                           | Creates `par0_modis.mat` (4320 x 8640 x 12) and `par0_seawifs.mat` (2160 x 4320 x 12)  |\n| 18 | ncreadSeaIceFromESACCI.m                       | Creates `seaice_esacci.mat` (4320 x 8640 x 12)  |\n| 19 | ncreadSSTfromPathfinder.m                      | Creates `sst_pathfinder_v5.mat` (4096 x 8192 x 12)      |\n| 20 | ncreadZooplanktonFromCMIP6.m                   | Creates `mesozoo_cmip6_pisces.mat` (64 x 128 x 75), `mesozoo_cmip6_cobalt.mat` (180 x 360 x 35) and `mesozoo_cmip6_medusa.mat` (64 x 128 x 75) |\n| 21 | createGridFromBathymetricData.m                | Creates `grid_GEBCO_2160_1080.mat` (1080 x 2160 x 500) and `grid_GEBCO_360_180.mat` (180 x 360 x 500). Must be run after script 5. |\n| 22 | createGriddedCarbonateSystemClimatology.m      | Calculates carbonate system variables using CO2SYS and creates `co3ion_co2sys.mat`, `omegacalcite_co2sys.mat` and `omegaaragonite_co2sys.mat` (180 x 360 x 33 x 12) |\n| 23 | createGriddedDensityClimatology.m              | Calculates seawater density from temperature and salinity using Gibbs-SeaWater (GSW) Oceanographic Toolbox and creates `rho_calculated_woa23.mat` (180 x 360 x 102 x 12) |\n| 24 | createGriddedDynamicViscosityClimatology.m     | Calculates seawater dynamic viscosity from temperature and salinity using MIT seawater properties library routines and creates `dynamicvisco_calculated_woa23.mat` (180 x 360 x 102 x 12) |\n| 25 | createGriddedPAR0climatology.m                 | Calculates PAR\u003csub\u003e0\u003c/sub\u003e from cloud and ice cover data and creates `par0_monthly_calculated.mat` (180 x 360 x 12) and `par0_daily_calculated.mat` (180 x 360 x 365). Must be run after scripts `ncreadBGCandPHYSfromCMEMS.m`, 9 and 18 |\n| 26 | createGriddedZeuClimatology.m                  | Calculates z\u003csub\u003eeu\u003c/sub\u003e from k\u003csub\u003ed\u003c/sub\u003e(490) and MLD and creates `zeu_calculated_kdcmems_mldcmems_pointonepercentpar0.mat`, `zeu_calculated_kdmodis_mldcmems_pointonepercentpar0.mat` (1080 x 2160 x 12). Must be run after scripts `ncreadBGCandPHYSfromCMEMS.m` and `ncreadKdFromNASA.m` |\n| 27 | createGriddedNPPclimatologyFromCarrAlgorithm.m | Calculates NPP from chla, PAR\u003csub\u003e0\u003c/sub\u003e and SST and creates `npp_carr2002_seawifs_pathfinder_zeuc02.mat`, `npp_carr2002_seawifs_pathfinder_zeub97.mat`, `npp_carr2002_modis_pathfinder_zeuc02.mat` and `npp_carr2002_modis_pathfinder_zeub97.mat` (180 x 360 x 12). Must be run after scripts `ncreadChlaFromNASAandOCCCI.m`, `ncreadPAR0fromNASA.m` and `ncreadSSTfromPathfinder.m`  |\n| 28 | regridZooplanktonConcentrationFromCMIP6.m      | Called by script `ncreadZooplanktonFromCMIP6.m`                                 |\n| 29 | calculatePAR0fromTrigonometricEquations.m      | Called by script `createGriddedPAR0climatology.m`                                 |\n| 30 | calculateZeuFromKdAndMLD.m                     | Called by script `createGriddedZeuClimatology.m` |\n| 31 | calculateZeuFromChlaAndMLD.m                   | Called by script `createGriddedZeuClimatology.m` |\n| 32 | calculatePftProbsFromBicepProduct.m            | Processes BICEP phytoplankton carbon (Cphyto) data and calculates PFT relative probabilities      |\n| 33 | Carr2002algorithm.m                            | Called by script `createGriddedNPPclimatologyFromCarrAlgorithm.m`                                 |\n| 34 | processSensorDataFromNASA.m                    | Called by scripts `ncreadChlaFromNASAandOCCCI.m`, `ncreadKdFromNASA.m` and `ncreadPAR0fromNASA.m`                      |\n| 35 | prepareDataForPlotting.m                       | Creates figures to show monthly climatological data (figures with `_monthly_` infix)|\n| 36 | plotCrossSourceComparisonMaps.m                | Creates figures to show comparisons of the same variable across datasets (figures with `_comparison_` infix) |\n| 37 | submit_zoo_regridding.sh                       | Submits script `regridZooplanktonConcentrationFromCMIP6.m` to the SLURM job scheduler |   ","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fannarufas%2Focean-data-lab","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fannarufas%2Focean-data-lab","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fannarufas%2Focean-data-lab/lists"}