Skip to main content

LiPD utilities to process, convert, and analyze data.

Project description

Input/output and manipulation utilities for LiPD files in Matlab, R and Python.

What is it?

LiPD is short for Linked PaleoData. LiPD is the data standard for paleoclimatology and the exchange of data amongst paleoclimate experts. This package will help you convert your existing database of paleoclimate observations into LiPD files. Moreover, it contains tools to analyze and manipulate LiPD data.

How does it work?

The LiPD package runs within the Jupyter (formerly iPython) environment. Jupyter is an important component for interactive data science and data scientific computing. If you are familiar with iPython, then you’ll have no problem here. If not, don’t worry, Jupyter is still very easy to learn.

LiPD has its own way of manipulating and converting data, but uses Jupyter for its structure and interactive computing. When you’re working you will see Jupyter’s interface; however, LiPD will be working in the background.

Installation

Python v3.4+ is required

LiPD is published through PyPi and easily installed via pip.

pip install LiPD

For more detailed installation instructions, please refer to the file called INSTALL.

Quickstart guide

  1. Open your command line application (Terminal or Command Prompt):

  2. Install with command: pip install LiPD

  3. Wait for installation to complete, then type lipd to launch the package.

  4. A web portal will launch in your default internet browser.

  5. Click to open the Welcome LiPD - Quickstart.ipynb file.

That’s it!

What you have done is launched the LiPD package and opened your first Notebook. This specific Notebook is an example and a guide to getting you familiar with what LiPD can do, and how to use LiPD commands.Once you get the hang of it, you can start creating your own Notebooks that are specific to your needs.

Features

  • Convert Excel files to LiPD files

  • Convert NOAA files to LiPD files

  • Convert LiPD files to NOAA files

  • Update LiPD publication data by fetching up-to-date information from DOI.org

  • Load LiPD files for data analyzation

  • Extract TimeSeries from LiPD files

Requirements

For a list of requirements that are installed with this package, please refer to the file called REQUIREMENTS.

Further information

Github: https://github.com/nickmckay/LiPD-utilities

Linked Earth Wiki: http://www.organicdatacuration.org/linkedearth/index.php/Main_Page

Jupyter Documentation: https://jupyter.readthedocs.org/en/latest/

Contact

If you are having issues, please let me know. Contact me at heiser@nau.edu.

License

The project is licensed under the GNU Public License. Please refer to the file called LICENSE.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

LiPD-0.1.3.0.zip (428.6 kB view details)

Uploaded Source

LiPD-0.1.3.0.tar.gz (380.5 kB view details)

Uploaded Source

File details

Details for the file LiPD-0.1.3.0.zip.

File metadata

  • Download URL: LiPD-0.1.3.0.zip
  • Upload date:
  • Size: 428.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for LiPD-0.1.3.0.zip
Algorithm Hash digest
SHA256 ea904cef103250ca45fcee7672c7cb6a286e84df18facc0ee77971208dff5ff1
MD5 19cfa240c511c45804a889a71a7b9ebc
BLAKE2b-256 09d9735c6b9cb263b2dec8e7d2a846506a7b8977ce1bc24a0e9a7021dd75aa60

See more details on using hashes here.

File details

Details for the file LiPD-0.1.3.0.tar.gz.

File metadata

  • Download URL: LiPD-0.1.3.0.tar.gz
  • Upload date:
  • Size: 380.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for LiPD-0.1.3.0.tar.gz
Algorithm Hash digest
SHA256 bc7accd95ae1221d2cc44716529b693e6e4c006ba69504483563fea65a4c6e82
MD5 f84dd8e45417ab90e489ea1de2c93c10
BLAKE2b-256 d7d60a2259ca84e72c8d86c4427b0b78b400f75a3ca56ebbb1a9b8d2011bd58d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page