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-0.1.1.10.zip (368.2 kB view details)

Uploaded Source

LiPD-0.1.1.10.tar.gz (317.2 kB view details)

Uploaded Source

File details

Details for the file LiPD-0.1.1.10.zip.

File metadata

  • Download URL: LiPD-0.1.1.10.zip
  • Upload date:
  • Size: 368.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for LiPD-0.1.1.10.zip
Algorithm Hash digest
SHA256 3c0c0c7831d2c73f5a89adcce66d97878dc0f2e4fa402a15338f25992754f590
MD5 6b69d594e72caf62dc92996bc7136c1f
BLAKE2b-256 ad8c486acf4ee07cf60453ddc7c87c4875148cb6d8cfe9fe143669f77f6646a3

See more details on using hashes here.

File details

Details for the file LiPD-0.1.1.10.tar.gz.

File metadata

  • Download URL: LiPD-0.1.1.10.tar.gz
  • Upload date:
  • Size: 317.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for LiPD-0.1.1.10.tar.gz
Algorithm Hash digest
SHA256 7f18ae40023a67ebb0306082ccdbd82b6ce20556d323aa250f397693960aa695
MD5 40a514e472f952410bfaae697daee9a9
BLAKE2b-256 23bd8c4ecb6b66265631e4d942c70399ec6845d9f8ed073bf7951a20f4b3a37c

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