Standardize Depth Intervals
Depth intervals are often highly variable between cores. Standardize measurements to a custom set of intervals to streamline carbon stock calculations. Provide either a single custom interval size or a custom range of intervals to standardize all carbon stock measurements to.- A single custom interval standardizes every depth interval to that value. For example, "5" will create 5 centimeter intervals for each core.
- Provide a range of numbers to standardize cores to different intervals. For example, "5, 20, 100, 300, 500" will result in five intervals, 0-5 cm, 5-20 cm, 20-100 cm, 100-300 cm, and 300-500 cm.
Download Selected Cores
Click the "Download" button to download data for all selected cores. The download is a ZIP file that contains several tables of metadata and data for methodology, site-, core- and depthseries level data, human impacts and species metadata, as well as bibliography files and resources for using the data.Download
Memorandum of CCN Data Responsibility
The Coastal Carbon Network (NSF 1655622, herein CCN) is an initiative to accelerate the pace of discovery in coastal wetland science by providing the community with access to data, open source analysis tools, an data synthesis opportunities. A major component of the network is to disseminate previously collected data, both for CCN research efforts and for use by the community. In addition to data that is either published or otherwise publically available for scientific exploration (herein public data), the CCN also seeks to assist users holding private data (data that is not yet public) to participate in future data syntheses in a manner that ensures they are properly acknowledged. This is achieved through the release of downloadable, citable public data that clearly attributes the original data to the primary contributor(s). In all cases, we respect the intellectual property rights of the data producers.
This means:
- Proper citations and/or contact information are associated with each data point.
- Citations to all publications containing CCN synthetic datasets are posted to our public websites and are included in dataset downloads.
- Private data will not be distributed without the explicit consent of the data owner.
- Only data contributors (not CCN personnel) determine if and when to make their private data public.
The CCN does not claim ownership of the datasets we curate. Instead we assist data submitters in formatting data releases, securing space on a public data repository, and issuing citable digital object identifiers (DOI). CCN personnel are trained to create stable, machine-readable, analysis-ready datasets based on community generated standards. Each data release includes detailed metadata to ensure that the context and purposes of a contributor’s study are represented with an appropriate level of detail.
The CCN can assist submitters in securing space on a public data repository, Figshare, and issuing DOIs through our partnership with Smithsonian Libraries. We recognize that there is no official definition for what constitutes a trusted repository, but we hope that the reputation of the Smithsonian Institution, the status of figshare as an approved technology, and the commitment of the Smithsonian Libraries to digital object curation, generate a high level of community trust. All data archived by the CCN will be listed under a Creative Commons With Attribution License.
Contributors have the option of requesting a pre-defined embargo period before a private dataset changes status to publically available, typically until associated manuscripts or other products are published. In this case, submitters of private data will specify a date-until-release or request that data releases be made public in conjunction with the publication of manuscripts or other products as required by most journals.
Finally, CCN compiles publically available data into a central data clearinghouse. These include both data releases curated by the CCN and those originating from other public sources. Datasets are downloaded, reformatted to a common standard, and compiled with other studies using publically available open-source R scripts. These scripts and compiled data files are available on a public GitHub repository, and accessible through the Coastal Carbon Atlas map interface. The publically available GitHub data repository is completely separate from our data curation work flows, so there is no risk for accidental public release of private data. The CCN provides associated bibliographies to assist users in citing original data sources, but users are ultimately responsible for correctly citing all data used.
The maintainers of the Coastal Carbon Library and Atlas do not require, nor expect, offers of co-authorship in exchange for serving this data, only when we make substantial new contributions to a work in line with CRediT taxonomy of roles for collaborations.
Visit our Community Resources Portal to learn more and get involved with the CCN!
Contributing Data to the Coastal Carbon Network
Thank you for your interest in contributing data to the CCN! If you would like to make your data discoverable and available for use through the Coastal Carbon Atlas, we currently welcome contributions of carbon data from coastal wetland habitats that experience tidal influence (or are anticipated to the future). We accept data that is published or unpublished as long as the original measurements can be made available (ex. soil profile information down to the resolution of sampling interval). Data that we bring into this synthesis includes both data we curate and data from any outside sources that meet basic availability, archiving, and metadata standards. All attribution to the original authors is retained.
Presently, the Atlas supports soil core-based carbon data, however, our Network also provides guidance and opportunities for the archival and synthesis of other types of carbon data from coastal wetlands, such as biomass, greenhouse gas fluxes, and soil pore water data.
Visit our resource page on data contribution for more information or contact CoastalCarbon@si.edu with particular inquiries.