In this paper we present the "Small Bodies: Near and Far" Infrared Database, an easy-to-use tool intended to facilitate the modeling of thermal emission of small Solar System bodies. Our database collects thermal emission measurements of small Solar Systems targets that are otherwise available in scattered sources and gives a complete description of the data, with all information necessary to perform direct scientific analyses and without the need to access additional, external resources. This public database contains representative data of asteroid observations of large surveys (e.g. AKARI, IRAS and WISE) as well as a collection of small body observations of infrared space telescopes (e.g. the Herschel Space Observatory) and provides a web interface to access this data (https://ird.konkoly.hu). We also provide an example for the direct application of the database and show how it can be used to estimate the thermal inertia of specific populations, e.g. asteroids within a given size range. We show how different scalings of thermal inertia with heliocentric distance (i.e. temperature) may affect our interpretation of the data and discuss why the widely-used radiative conductivity exponent ($α$=-3/4) might not be adequate in general, as hinted by previous studies.
3.5-meter Segmented-Mirror Robotic Space Telescope Mission White Paper IV. Key Scientific Mission: Solar-System Small Bodies and Planetary Defense
Korea Institute for Advanced Study（韩国高等研究院）；Korea Astronomy and Space Science Institute（韩国天文学与空间科学研究所）；University of Ulsan（蔚山科学技术院）；University of Science and Technology（科学技术联合大学院大学）；Kyungpook National University（庆北国立大学）；Space Telescope Science Institute（太空望远镜科学研究所）；Pusan National University（釜山国立大学）；Korea National University of Education（韩国国立教育大学）；Seoul National University（首尔国立大学）；Yonsei University（延世大学）
The Spitzer Data Fusion - A Far-Ultraviolet to Far-Infrared Multi-Wavelength Database in Spitzer Extragalactic Survey Fields
Inter-University Institute for Data Intensive Astronomy (IDIA), Department of Astronomy, University of Cape Town（开普敦大学数据密集型天文学校际研究所）；University of the Western Cape（西开普大学）；INAF - Istituto di Radioastronomia（意大利国家天体物理研究所射电天文台）
A machine-learning-driven dataset of 144,111 polycyclic aromatic hydrocarbon infrared spectra for interpreting aromatic infrared bands
Guangxi University（广西大学）；Laboratory for Relativistic Astrophysics, Department of Physics, Guangxi University（广西大学物理学院相对论天体物理实验室）；Center for Applied Mathematics of Guangxi (Guangxi University)（广西应用数学中心（广西大学））
