Rapid ʽŌhiʽa Death (ROD) currently threatens ōhiʽa lehua (Metrosideros polymorpha) on Hawaiʽi Island. First identified in Puna in 2014, the disease has now spread island wide. Besides direct sampling of trees, environmental sampling could serve as an easier and broader strategy to detect Ceratocystis spp., the fungi causing ROD. Environmental sampling could also help monitor the effect of felling ROD infected trees. We developed Passive and Active Environmental Samplers and deployed them at a property in Puna, where both C. lukuohia, and C. huliohia had been detected, and where the land owner practiced the management method of felling infected trees. We set up 2 Active Environmental Samplers (modified mosquito traps connected to a battery that uses a fan to continuously draw in air) and 3 Passive Environmental Samplers (uses a vane to move in the direction of the wind without the use of electricity) from July 12th to October 25th, 2016. The Active Samplers contained one slide (1 replicate) each, while the Passive Samplers contained 4 slides (4 replicates) each. Samplers were located in the lawn (2 Active, 1 Passive), next to a rainwater catchment tank (1 Passive), and next to a small shed (1 Passive). The dataset contains a list of sampling weeks and their start and end dates, and quantitative polymerase chain reaction (qPCR) results for individual slides that were collected from Active and Passive Samplers located at the Lawn, Tank and Shed sites. Samples were tested twice for Ceratocystis lukuohia, Ceratocystis huliohia, and Metrosideros polymorpha DNA after extraction with a Machery Nagel Plant II Extraction Kit and again after DNA was concentrated by ethanol precipitation. Positive qPCR test results are presented as quantitation cycle (Cq) in which fluorescence is detected for Ceratocystis lukuohia, Ceratocystis huliohia, and Metrosideros polymorpha DNA for each individual slide and number of replicates that were positive out of three for C. lukuohia and C. huliohia and out of six for M. polymorpha. Lines that are blank in columns for Cq values reflect negative test results. When Cq values have more than one replicate for a test, the reported Cq value represents the average of all positive replicates.