10.1594/PANGAEA.848749Andrews, John TJohn TAndrews0000-0003-3169-5979Stein, RuedigerRuedigerStein0000-0002-4453-9564Moros, MatthiasMatthiasMorosPerner, KerstinKerstinPerner0000-0002-7464-2191PANGAEA2016DEPTH, sediment/rockFull pattern degree of fitQuartzMicroclineOrthoclaseAnorthoclaseAlbiteOligoclaseLabradoriteBytowniteAnorthiteCalciteDolomiteIron-DolomiteSideriteHaliteFerrotschermakiteDiopsidePyrite, FeS2MagnetiteHematite, Fe2O3MaghemiteDiatomsChertNon-clay mineralsKaoliniteSaponiteSmectiteIlliteBiotiteIron-ChloriteMuscoviteClay mineralsTotalGravity corerX-ray diffraction (Siemens D5000)JM07-WPJan Mayen2007-10-08T00:00:00Dataset10.1594/PANGAEA.84876910.1111/bor.12169https://pubs.usgs.gov/of/2003/of03-078/https://pubs.usgs.gov/publication/700265574773 data pointstext/tab-separated-valuesCreative Commons Attribution 3.0 UnportedWe employ the quantitative X-ray diffraction method developed by Eberl (2003, 2004). The sediment < 2 mm are spiked by 10% by weight of zincite, milled, and the samples are scanned on a D5000 Siemens X-Ray Diffractometer between 5° and 65° 2-theta with a 0.02° step and a 2-sec count. The resulting 3000 data points are loaded into the Excel macro-program Rockjock v6 (Eberl, 2003) and the weight% of minerals in the sediment mixtures calculated against a suite of 124 "standard" mineral patterns (Eberl, 2003). Finally, the data are normalized to sum to 100%-14.568273.579