Guia de Datos de GLOBE Para Usurious
GLOBE Data User Guide
GLOBE Data User Guide
Learn how to access and interpret GLOBE data with our Data User Guide. Inside, you can find appendices on our associated metadata, the types of variables available for download, primers on our different protocols, and more.
Our data is collected and submitted by GLOBE-trained teachers, students, and citizen scientists. We also collect additional data via automated weather stations and individual data loggers. Through the hard work of these participants, over 200 million measurements have been logged into our archives and made available for public use.
To discover all the various ways to use GLOBE data, download the GLOBE Data User Guide (PDF).
Wiki (Guia de Datos de GLOBE Para Usurious)
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.
Questions or comments should be addressed to: email@example.com
Páginas secundarias (8)
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...
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...
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 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...
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...
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...
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 README.md...
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...