Daymet v4 daily surface weather aggregated to TIGER/Line geographies
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Please refer to the included README.pdf file for and data documentation and usage instructions.This repository contains 1980-2020 daily-resolution Daymet v4 data from ORNL DAAC as of May 2021 aggregated to various TIGER/Line geographies from the U.S. Census Bureau.Daily surface weather data can be very large and unwieldy to work with, especially on smaller machines; as of May 2021 the Daymet 1-kilometer grid is nearly 3 terabytes at a daily resolution. The files in this repository are much smaller in comparison and contain data that has been aggregated to commonly-used U.S. Census Bureau geographies to facilitate simple and straightforward use in ecological studies.Due to Har' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Radiation","Rain","Temperature","Vapor Pressure","Weather"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Please refer to the included README.pdf file for and data documentation and usage instructions.This repository contains 1980-2020 daily-resolution Daymet v4 data from ORNL DAAC as of May 2021 aggregated to various TIGER/Line geographies from the U.S. Census Bureau.Daily surface weather data can be very large and unwieldy to work with, especially on smaller machines; as of May 2021 the Daymet 1-kilometer grid is nearly 3 terabytes at a daily resolution. The files in this repository are much smaller in comparison and contain data that has been aggregated to commonly-used U.S. Census Bureau geographies to facilitate simple and straightforward use in ecological studies.Due to Har' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Please refer to the included README.pdf file for and data documentation and usage instructions.This repository contains 1980-2020 daily-resolution Daymet v4 data from ORNL DAAC as of May 2021 aggregated to various TIGER/Line geographies from the U.S. Census Bureau.Daily surface weather data can be very large and unwieldy to work with, especially on smaller machines; as of May 2021 the Daymet 1-kilometer grid is nearly 3 terabytes at a daily resolution. The files in this repository are much smaller in comparison and contain data that has been aggregated to commonly-used U.S. Census Bureau geographies to facilitate simple and straightforward use in ecological studies.Due to Har
Radiation; Rain; Temperature; Vapor Pressure; Weather