The Darwin Project is an initiative, based at Massachusetts Institute of Technology, to advance the development and application of novel models of marine microbes and microbial communities, identifying the relationships of individuals and communities to their environment, connecting cellular-scale processes to global microbial community structure. More details of the project can be found at http://darwinproject.mit.edu/

Part of this project includes the development of the DARWIN marine ecosystem model that is part of the MITgcm (http://mitgcm.org). Code can be downloaded from that website.

There are several version of the DARWIN model, and it continues to evolve. The purpose of this dataverse is to provide output and model code and input fields from various version of the DARWIN model.
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11 to 20 of 26 Results
Dec 2, 2021 - Darwin3 31+16+3
Dutkiewicz, Stephanie, 2021, "Darwin3 31+16+3 model output: annual mean surface plankton biomass", https://doi.org/10.7910/DVN/FEWXB4, Harvard Dataverse, V1
Surface carbon biomass of each of the 50 plankton types arranged as follows: 1: pico-phytoplankton, ESD 0.6um (analog of Prochlorococcus) 2: pico-phytoplankton, ESD 0.9um 3: pico-phytoplankton, ESD 1.4um 4: pico-phytoplankton, ESD 2.0um 5: coccolithophores, ESD 3.0um 6: coccolithophores, ESD 4.5um 7: coccolithophores, ESD 6.6um 8: coccolithophores,...
Oct 22, 2021 - Animations of Simulations
Jahn, Oliver; Dutkiewicz, Stephanie; Follows, Michael J.; Hill, Christopher N., 2021, "Functional Group Biogeography", https://doi.org/10.7910/DVN/HFGQWR, Harvard Dataverse, V1
Output from ECCO2/GUD simulation. This simulation includes 35 phytoplankton types grouped into 6 different Phytoplankton types and spanning from a cell diameter of 0.6μm to 200 μm. The movie shows four different phytoplankton functional types superimposed over Chl concentrations (white intensity). Red=diatoms; pink=Coccolithophores; green=picophyto...
Oct 22, 2021 - Animations of Simulations
Jahn, Oliver; Dutkiewicz, Stephanie; Follows, Michael J.; Hill, Christopher N., 2021, "Phytoplankton Community Biogeography", https://doi.org/10.7910/DVN/K1S7KC, Harvard Dataverse, V1
Ecological Provinces from a computer simulation of the marine global ecosystems. Each color represents a different distinct combination of the most dominant phytoplankton function types (as shown in the Venn diagram top right). The opacity indicates the total concentration of phytoplankton biomass: the darker the color, the less phytoplankton – Ani...
Aug 9, 2021 - GUD IGSM
Dutkiewicz, Stephanie, 2021, "GUD IGSM annual surface nutrients", https://doi.org/10.7910/DVN/5CEWCL, Harvard Dataverse, V1
Each files contains the annual mean surface (0-10m) nutrient concentration (mmol/m3) for each year from 1991-2110. Included are dissolved inorganic nitrogen (DIN), phosphate (PO4), dissolved iron (FeT), and silicic acid (SIL) Note that the atmospheric-ocean component of the earth system model used to produce the forcing fields has its own internal...
Aug 9, 2021 - GUD IGSM
Dutkiewicz, Stephanie, 2021, "GUD IGSM primary production", https://doi.org/10.7910/DVN/91LPNJ, Harvard Dataverse, V1
Each files contains the annual mean depth integrated primary production (mmol C/m2/s) for years 1991 to 2110 Note that the atmospheric-ocean component of the earth system model used to produce the forcing fields has its own internal interannual variability. Though the frequency of phenomena such as ENSO are captured, they do not occur in same years...
Aug 9, 2021 - GUD IGSM
Dutkiewicz, Stephanie, 2021, "GUD IGSM depth integrated biomass", https://doi.org/10.7910/DVN/LWHQNS, Harvard Dataverse, V1
Each files contains the annual mean depth integrated carbon biomass (mmol C/m2) of each of the 51 plankton types for each year 1991-2100. Note that the atmospheric-ocean component of the earth system model used to produce the forcing fields has its own internal interannual variability. Though the frequency of phenomena such as ENSO are captured, th...
Aug 9, 2021 - GUD IGSM
Dutkiewicz, Stephanie; Jahn, Oliver, 2021, "GUD IGSM numerical code and inputs", https://doi.org/10.7910/DVN/UA8VNU, Harvard Dataverse, V1
The model code is available at https://gitlab.com/jahn/gud Here we include: MITgcm_gud_igsm.tar - a tarball of the MITgcm, including the ecosystem, biogeochemical, and optical codes (pkg/gud, pkg/radtrans) and the specific modifications for the 51 plankton setup and the a climate change simulation (see monod5_igsm). runtime_file.tar - a tarball wit...
Dec 15, 2020 - GUD Redundancy Model
Dutkiewicz, Stephanie, 2020, "Redundancy Model Output", https://doi.org/10.7910/DVN/HLHQ8L, Harvard Dataverse, V1
Model output for Dutkiewicz et al (GCB, 2021) Each file has output for separate experiment. The naming convention is as described in Dutkiewicz et al (2021), and as listed at the end of this description. Each file contains annual mean depth integrated Primary Production (gC/m2/year) Export Flux through 100m (gC/m2/year), Herbivorous Grazing rate (g...
Dec 15, 2020 - GUD Redundancy Model
Dutkiewicz, Stephanie; Jahn, Oliver, 2020, "Redundancy Model Code", https://doi.org/10.7910/DVN/ZG92I6, Harvard Dataverse, V1
MITgcm code (available trhough http://mitgcm.org), with GUD ecosystem code (https://gitlab.com/jahn/gud). Exact version, modifications, and input datafiles are in the tarball available here. Model parameters are listed in the two nml files.
Oct 24, 2019 - GUD CS510/18km resolution interannual simulation
Jahn, Oliver; Hill, Christopher, N.; Dutkiewicz, Stephanie; Follows, Michael, J., 2019, "3-daily surface (0-10m) phytoplankton biomass for Year 2000", https://doi.org/10.7910/DVN/1HGIV8, Harvard Dataverse, V1
Year 2000 3-daily averaged phytoplankton biomass (mmol C/m3) for the 35 types in the top 10m of the model. Model output has been interpolated from the natural grid onto 1/5th degree resolution. File numbers are such that 70200 is 1-3 Jan 2000, 70272 is 4-6 Jan 2000, etc Due to size constraints only one year is presented in dataverse. Additional mod...
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