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{{See also|Using LiPD files}}
 
{{See also|Using LiPD files}}
  
The [[LiPD Utilities]], available in R, Python, and Matlab allows to read/write LiPD files, extract and collapse timeseries objects, and filter datasets according to your search criteria. Data analysis packages are currently available in R ([[GeoChronR]]) and Python ([[Pyleoclim]]). A large body of [https://github.com/CommonClimate/PAGES2k_phase2 Matlab code exists already] to analyze the [[PAGES2k]] dataset.  
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The [[LiPD Utilities]] (available in R, Python, and Matlab) allow to read/write LiPD files, extract and collapse timeseries objects, and filter datasets according to your search criteria. Data analysis packages are currently available in R ([[GeoChronR]]) and Python ([[Pyleoclim]]). A large body of [https://github.com/CommonClimate/PAGES2k_phase2 Matlab code exists already] to analyze the [[PAGES2k]] dataset.  
  
 
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Revision as of 01:15, 13 July 2017

LinkedEarthLogo


Welcome to the LinkedEarth Wiki!

The LinkedEarth wiki is an EarthCube-funded platform that:

  1. enables the curation of publicly-accessible database by paleoclimate experts, and
  2. fosters the development of standards, so paleoclimate data are easier to analyze, share, and re-use.

Getting started with LinkedEarth

Several tutorials are also available on our YouTube channel!

Community Activities

Join a working group (WG) and participate in the discussion about paleoclimate data standards.

New: Each working group has polls waiting for community input. You must be logged in to vote.

In the Linked Earth context, a WG is a self-organized coalition of knowledgeable experts who elaborate and discuss the components of a data standard for their topic(s) of interest. WGs may be created by any member of the LinkedEarth community. Currently, the LinkedEarth community is organized around 14 working groups.

To join a WG, do so on your LinkedEarth wiki profile page.

Contribute Datasets

We recommend using the LiPD format to get your data on the wiki. The Python LiPD Utilities allow to create a LiPD from an Excel template, wich can be downloaded here. For instructions on filling out this template, see the page "Creating a LiPD file".

Working with LiPD Datasets

The LiPD Utilities (available in R, Python, and Matlab) allow to read/write LiPD files, extract and collapse timeseries objects, and filter datasets according to your search criteria. Data analysis packages are currently available in R (GeoChronR) and Python (Pyleoclim). A large body of Matlab code exists already to analyze the PAGES2k dataset.

Current State of the Database

The LinkedEarth Wiki currently contains 705 datasets, mostly from the PAGES2k compilation. We are in the process of adding more Holocene records, as well as >100 deep-sea cores from the LR04 benthic stack compilation. Please contact us if you want to lead a data drive to flesh it out some more.

Dataset Location

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Recently Contributed Datasets

LiPD Dataset ArchiveTypeCoordinates 
A7.Oppo.2005marine sediment28° 1' 12", 127° 1' 12"
BJ8-03-13GGC.Linsley.2010marine sediment-7° 24' 0", 115° 12' 0"
BJ8-03-70GGC.Linsley.2010marine sediment-3° 34' 12", 119° 22' 48"
GeoB5844-2.Arz.2003marine sediment27° 42' 47", 34° 40' 55"
GeoB7702-3.Castaneda.2010marine sediment31° 39' 6", 34° 4' 0"
GeoB10043-3.Setiawan.2016marine sediment-7° 18' 33", 105° 3' 31"
GeoB10069-3.Gibbons.2014marine sediment-9° 35' 41", 120° 55' 1"
GeoB12605-3.Kuhnert.2014marine sediment-5° 34' 23", 39° 6' 29"
JR51GC35.Bendle.2007marine sediment66° 59' 58", 17° 57' 40"
MD972120-MD972121.Pahnke.2006marine sediment
... further results

Search the Database by Archive

More about LinkedEarth

Website: LinkedEarth Website

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