GLOBE Data User Guide

GLOBE Data User Guide

The purpose of the GLOBE Data User Guide is to help scientists and researchers understand, access, and use available GLOBE data. The scope includes data collected by GLOBE-trained teachers, students, and citizen scientists as well as data collected from automated weather stations and data loggers.  

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User Guide Updates

This page contains updates to the GLOBE Data User Guide v1.0 that will be incorporated into v2.0. A new version of the User Guide is only planned to be released at approximately annual intervals. This page is to provide the GLOBE community and end users with updates in a timely manner. 

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Child Pages (8)

  • 2019-09-23 GLOBE Observer elevation data

    GLOBE Observer elevation data 23 September 2019 GLOBE's GPS protocol states that a site's elevation is in relation to mean sea level (MSL). In 1995, the thinking was that sites would be only...

  • 2019-10-01 GLOBE Observer land cover launch date correction

    GLOBE Observer land cover launch date correction 1 October 2019 The land cover tool in the GLOBE Observer mobile app was launched in September 2018. The GLOBE Data User Guide v1.0 incorrectly...

  • 2019-10-09 Latitude and longitude data

    Latitude and longitude data 9 October 2019 Effective September 15, 2019, the site location as defined by the Military Grid Reference System (MGRS) and the true latitude and longitude of an...

  • 2020-01-26 GLOBE API - Change Announcement

    2020-01-26 Summary of Changes:  We are modifying the GLOBE API so that variables currently output as strings are output as integers, floats, and booleans. This will provide data type consistency...

  • 2020-04-08 Python Notebook to retrieve and graph MHM data

    Files Updated 2020-07-01 We have created a beta version of a python based Jupyter notebook which can be used to pull data from the GLOBE API for Mosquito Habitat Mapper.  The notebook includes code...

  • 2020-06-24 Python Notebook for Selecting Data on a Map

    Python notebook used to pull all MHM protocol bundle data from a geographic region defined by the user.  User draws a region on a map and all bundle data is returned for that region. zip file for...

  • 2020-07-08 Python Notebook for Non-Linear Regression MHM Protocols

    Python notebook used to compare MHM protocol bundle data.  Uses linear regression as initial parameters for non-linear regression between two protocols. requirements.txt protocols.txt

  • 2021-05-28 Filter by Teams Available

    GLOBE's Advanced Data Access Tool (ADAT) and API (ElasticSearch) now support the ability to find measurements by GLOBE team name. With the API, you will need to know the exact spelling of the team...