We present the SCUBA-2 850 \micron component of JINGLE , the new JCMT large survey for dust and gas in nearby galaxies , which with 193 galaxies is the largest targeted survey of nearby galaxies at 850 \micron .
We provide details of our SCUBA-2 data reduction pipeline , optimised for slightly extended sources , and including a calibration model adjusted to match conventions used in other far-infrared data .
We measure total integrated fluxes for the entire JINGLE sample in 10 infrared/submillimetre bands , including all WISE , Herschel -PACS , Herschel -SPIRE and SCUBA-2 850 \micron maps , statistically accounting for the contamination by CO ( J =3-2 ) in the 850 \micron band .
Of our initial sample of 193 galaxies , 191 are detected at 250 \micron with a \geq 5 \sigma significance .
In the SCUBA-2 850 \micron band we detect 126 galaxies with \geq 3 \sigma significance .
The distribution of the JINGLE galaxies in far-infrared/sub-millimetre colour-colour plots reveals that the sample is not well fit by single modified-blackbody models that assume a single dust-emissivity index ( \beta ) .
Instead , our new 850 \micron data suggest either that a large fraction of our objects require \beta < 1.5 , or that a model allowing for an excess of sub-mm emission ( e.g. , a broken dust emissivity law , or a very cold dust component \lesssim 10 K ) is required .
We provide relations to convert far-infrared colours to dust temperature and \beta for JINGLE-like galaxies .
For JINGLE the FIR colours correlate more strongly with star-formation rate surface-density rather than the stellar surface-density , suggesting heating of dust is greater due to younger rather than older stellar-populations , consistent with the low proportion of early-type galaxies in the sample .