Demographic models are used to explore how survival, growth and reproduction rates structure variation in life history traits (e.g., longevity, generation time, age at maturity) and strategies (pace of life and reproductive strategy) across species. This study presents the DEBBIES dataset that contains estimates of eight life history traits (length at birth, puberty and maximum length, maximum reproduction rate, fraction energy allocated to respiration versus reproduction, von Bertalanffy growth rate, juvenile and adult mortality rate) for 185 ectotherm species. The dataset can be used to parameterise dynamic energy budget integral projection models (DEB-IPMs) to calculate key demographic quantities like population growth rate and demographic resilience, but also link to conservation status, biogeographical characteristics, and evolutionary biology. Our technical validation shows a satisfactory agreement between observed and predicted longevity, generation time, age at maturity across all species. Compared to existing datasets, DEBBIES accommodates (i) easy cross-taxonomical comparisons because all DEB-IPMs have the same structure, (ii) many data-deficient species because no long-term individual data are required, and (iii) population forecasts to novel conditions because DEB-IPMs include a mechanistic description of the tradeoff between growth and reproduction. This dataset has the potential for biologists to unlock general predictions on ectotherm population responses from only a few key life history traits.