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10 results for “carbon cycle modeling”

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edi52/100

Modeling the effect of explicit vs implicit representation of grazing on ecosystem carbon and nitrogen cycling in response to elevated carbon dioxide and warming in arctic tussock tundra, Alaska - Dataset A

We use a simple model of coupled carbon and nitrogen cycles in terrestrial ecosystems to examine how explicitly representing grazers versus having grazer effects implicitly aggregated in with other biogeochemical processes in the model alters predicted responses to elevated carbon dioxide and warming. The aggregated approach can affect model predictions because grazer-mediated processes can respond differently to changes in climate from the processes with which they are typically aggregated. We use small-mammal grazers in arctic tundra as an example and find that the typical three-to-four-year cycling frequency is too fast for the effects of cycle peaks and troughs to be fully manifested in the ecosystem biogeochemistry. We conclude that implicitly aggregating the effects of small-mammal grazers with other processes results in an underestimation of ecosystem response to climate change relative to estimations in which the grazer effects are explicitly represented. The magnitude of this underestimation increases with grazer density. We therefore recommend that grazing effects be incorporated explicitly when applying models of ecosystem response to global change.

openCC (other)Mar 2022View details →
edi52/100

Modeling the effect of explicit vs implicit representation of grazing on ecosystem carbon and nitrogen cycling in response to elevated carbon dioxide and warming in arctic tussock tundra, Alaska - Dataset B

We use a simple model of coupled carbon and nitrogen cycles in terrestrial ecosystems to examine how explicitly representing grazers versus having grazer effects implicitly aggregated in with other biogeochemical processes in the model alters predicted responses to elevated carbon dioxide and warming. The aggregated approach can affect model predictions because grazer-mediated processes can respond differently to changes in climate from the processes with which they are typically aggregated. We use small-mammal grazers in arctic tundra as an example and find that the typical three-to-four-year cycling frequency is too fast for the effects of cycle peaks and troughs to be fully manifested in the ecosystem biogeochemistry. We conclude that implicitly aggregating the effects of small-mammal grazers with other processes results in an underestimation of ecosystem response to climate change relative to estimations in which the grazer effects are explicitly represented. The magnitude of this underestimation increases with grazer density. We therefore recommend that grazing effects be incorporated explicitly when applying models of ecosystem response to global change.

openCC (other)Mar 2022View details →
zenodo40/100

Viskari et al. (2019) The influence of canopy radiation parameter uncertainty on model projections of terrestrial carbon and energy cycling

<p>Zenodo DOI release for permanent archiving outside of GitHub</p>

openother-openDec 2020View details →
zenodo40/100

Code and data for publication "Assessing carbon cycle projections from complex and simple models under SSP scenarios" published in "Climatic Change"

<p>Data and scripts for the article "Assessing carbon cycle projections from complex and simple models under SSP scenarios" by I. Melnikova, P. Ciais, O. Boucher and K. Tanaka was accepted for publication in Climatic Change&nbsp;(https://doi.org/10.1007/s10584-023-03639-5)</p><p>&nbsp;</p><p>We use bash, CDO, and python.</p><p>SSP2.xlsx contains preprocessed annual estimates of climate and carbon cycle variables from ESMs and SCMs used in the paper.</p><p>Two bash scripts contain preprocessing cdo commands for ESM output.s SCMs were preprocessed directly in python.</p><p>Jupyter notebook (python) contains preprocessing of data and plotting of all figures of the manuscript. The folder "additional" contains some more Excel files needed to run Jupyter-Notebook. Please adapt the folder names.</p><p>If you have any questions, please contact the corresponding author Irina MELNIKOVA at melnikova . irina@nies.go.jp</p><p>&nbsp;</p>

opencc-by-4.0Nov 2023View details →
zenodo40/100

Supplementary material for "Including filter-feeding gelatinous macrozooplankton in a global marine biogeochemical model: model-data comparison and impact on the ocean carbon cycle"

<p>Supplementary material for &quot;Including filter-feeding gelatinous macrozooplankton in a global marine biogeochemical model: model-data comparison and impact on the ocean carbon cycle&quot;.&nbsp;&nbsp;</p> <p>Clerc, C., Bopp, L., Benedetti, F., Vogt, M., and Aumont, O.: Including filter-feeding gelatinous macrozooplankton in a global marine biogeochemical model: model-data comparison and impact on the ocean carbon cycle, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-1282, 2022.</p> <p>Three&nbsp;directories can be downloaded:</p> <p><strong>DataOBS</strong> : &nbsp;AtlantECO [WP2] &ndash;&nbsp;Traditional microscopy&nbsp;dataset &ndash;&nbsp;Thaliacea (Salpida+Doliolida+Pyromosomatida) abundance and biomass concentration data, presented in&nbsp;Clerc et al. (2022).&nbsp;</p> <p><strong>FigPaper </strong>: Source code and .nc files for the figures&nbsp;presented in Clerc et al. (2022) (https://doi.org/10.5194/egusphere-2022-1282).&nbsp;</p> <p><strong>MY_SRC_PISCES_NEMO_3.6 :</strong> Additional fortran routines&nbsp;for the compilation&nbsp;of PISCES-FFGM, the model developed for Clerc et al. (2022),&nbsp;from NEMO-3.6 (https://www.nemo-ocean.eu)</p>

opencc-by-4.0Jan 2023View details →
zenodo32/100

No increase is detected and modelled for the seasonal cycle amplitude of δ13C of atmospheric carbon dioxide: scripts and data to prepare figures

<p>The file contains the scripts and data to plot the graphics displayed in Joos et al., No increase is detected and modelled for the seasonal cycle amplitude of &delta;13C of atmospheric carbon dioxide, Biogeosciences, in press, November 2024.</p>

opencc-by-4.0Nov 2024View details →
zenodo32/100

Variable Stoichiometry Effects on Glacial/Interglacial Ocean Model Biogeochemical Cycles and Carbon Storage - MODEL OUTPUT

<p>This is the repository for the model output and controls pertaining to the simulation experiments performed in &quot;Variable Stoichiometry Effects on Glacial/Interglacial Ocean Model Biogeochemical Cycles and Carbon Storage&quot; by Nathaniel Fillman, Andreas Schmittner, and Karin Kvale. Citation and DOI for parent publication will be updated here when available.<br> See https://github.com/fillmann/variable-stoichiometry for model code.</p>

opencc-by-4.0Jul 2023View details →
zenodo28/100

Supplemental data for "Initial land use/cover distribution substantially affects global carbon and local temperature projections in the integrated Earth System Model." Article published as Global Biogeochemical Cycles publication 2019B006383

<p>These are supporting data for Global Biogeochemical Cycles publication&nbsp;2019B006383: &quot;Initial land use/cover distribution substantially affects global carbon and local temperature projections in the integrated Earth System Model.&quot; They include data for all of the regular and supplemental figures.</p>

opencc-by-4.0Apr 2020View details →
zenodo28/100

Deep carbon cycling in subduction zones: 1. Coupled thermo-metamorphic-dissolution model in open versus closed system

Open the record for dataset details and reuse information.

opencc-by-4.0Apr 2024View details →
zenodo20/100

On the deep carbon cycle in numerical modelling of mantle convection: Implications for the long-term climate evolution

Open the record for dataset details and reuse information.

openNov 2024View details →

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record