Characteristics of Indonesian palm oil mills
<|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:'This dataset details information about all palm oil mills known to operate in Indonesia. In addition to the geospatial location of mills, the data provide information about mill ownership, production capacity, and establishment year. These data were collected and are maintained by the Conservation Economics Lab (CEL) at the University of California Santa Barbara (UCSB) and Kimberly M. Carlson's Lab at New York University (NYU). The dataset expands upon the Universal Mill List (UML) published in late 2019. The UML was developed as part of a joint effort by a consortium of partners at the World Resources Institute (WRI), Rainforest Alliance, Proforest, Daemeter, Trase, Earthworm Foundation, Auriga, CIFOR, Transitions, UCSB and the University of Hawai’i.Fieldwork needed to collect these data was supported by NASA’s New (Early Career) I' . 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" : ["Geospatial data","Indonesia","Palm oil"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This dataset details information about all palm oil mills known to operate in Indonesia. In addition to the geospatial location of mills, the data provide information about mill ownership, production capacity, and establishment year. These data were collected and are maintained by the Conservation Economics Lab (CEL) at the University of California Santa Barbara (UCSB) and Kimberly M. Carlson's Lab at New York University (NYU). The dataset expands upon the Universal Mill List (UML) published in late 2019. The UML was developed as part of a joint effort by a consortium of partners at the World Resources Institute (WRI), Rainforest Alliance, Proforest, Daemeter, Trase, Earthworm Foundation, Auriga, CIFOR, Transitions, UCSB and the University of Hawai’i.Fieldwork needed to collect these data was supported by NASA’s New (Early Career) I' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This dataset details information about all palm oil mills known to operate in Indonesia. In addition to the geospatial location of mills, the data provide information about mill ownership, production capacity, and establishment year. These data were collected and are maintained by the Conservation Economics Lab (CEL) at the University of California Santa Barbara (UCSB) and Kimberly M. Carlson's Lab at New York University (NYU). The dataset expands upon the Universal Mill List (UML) published in late 2019. The UML was developed as part of a joint effort by a consortium of partners at the World Resources Institute (WRI), Rainforest Alliance, Proforest, Daemeter, Trase, Earthworm Foundation, Auriga, CIFOR, Transitions, UCSB and the University of Hawai’i.Fieldwork needed to collect these data was supported by NASA’s New (Early Career) I
Geospatial data; Indonesia; Palm oil