Collisional Cooling of Ultracold Molecules
<|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:'By unzippping the contents, one will see three folders. In each folder, there are raw experimental data (i.e. partcle number, temperature) and a Python code (Python 3 required) from which one can generate the plot reported in the paper titled 'Collisional cooling of ultracold molecules' by Son et. el (see the Related Publication for the information). 1. For each folder, one can find more than one folders for different experimental conditions (i.e. with Na, without Na, double evap, single evap, etc). For each experimental condition, the raw data is saved as .csv file. One can run 'data_extraction.py' code in order to parse this csv file and generate separate csv files for each experimental observables (i.e. mol num, mol temp, na num, etc).  In the 'csv' folder, the 'data_extraction.py' code saves three entities: the first column is a' . 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" : ["AMO physics","Atomic, Molecular, and Optical Physics","Collision","Collisional cooling","Sympathetic cooling","Ultracold molecule"]} <|eot_id|>
 Here is the Description of a dataset. Description:'By unzippping the contents, one will see three folders. In each folder, there are raw experimental data (i.e. partcle number, temperature) and a Python code (Python 3 required) from which one can generate the plot reported in the paper titled 'Collisional cooling of ultracold molecules' by Son et. el (see the Related Publication for the information). 1. For each folder, one can find more than one folders for different experimental conditions (i.e. with Na, without Na, double evap, single evap, etc). For each experimental condition, the raw data is saved as .csv file. One can run 'data_extraction.py' code in order to parse this csv file and generate separate csv files for each experimental observables (i.e. mol num, mol temp, na num, etc).  In the 'csv' folder, the 'data_extraction.py' code saves three entities: the first column is a' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
By unzippping the contents, one will see three folders. In each folder, there are raw experimental data (i.e. partcle number, temperature) and a Python code (Python 3 required) from which one can generate the plot reported in the paper titled 'Collisional cooling of ultracold molecules' by Son et. el (see the Related Publication for the information). 1. For each folder, one can find more than one folders for different experimental conditions (i.e. with Na, without Na, double evap, single evap, etc). For each experimental condition, the raw data is saved as .csv file. One can run 'data_extraction.py' code in order to parse this csv file and generate separate csv files for each experimental observables (i.e. mol num, mol temp, na num, etc).  In the 'csv' folder, the 'data_extraction.py' code saves three entities: the first column is a
AMO physics; Atomic, Molecular, and Optical Physics; Collision; Collisional cooling; Sympathetic cooling; Ultracold molecule