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Dataset: Colony monitoring, Coral surveys from the nearshore reefs in Guam during 2014. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/639899, NSF Division of Ocean Sciences (NSF OCE) OCE-1418673

Dataset: Temperature and Light, Temperature and light intensity data from seven locations from the nearshore reefs in Guam, January to August 2014. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/640026, NSF Division of Ocean Sciences (NSF OCE) OCE-1418673

Dataset: Line Intercept Substrate Surveys, Visual survey of substrate types along transects 10 m x 5 contiguous segments. Substrates were classified along the transects at 50 cm intervals from the nearshore reefs in Guam during 2014. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/640007, NSF Division of Ocean Sciences (NSF OCE) OCE-1418673

Dataset: PAM fluorescence, Maximum excitation pressure of Symbiodinium assemblages was assessed as an indicator for holobiont photosynthetic performance of Pocillopora damicornis in shallow (1-2m), back reef and P. eydouxi in deeper fore reef (>3m). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/639986, NSF Division of Ocean Sciences (NSF OCE) OCE-1418673

Dataset: Coral health survey, Coral health survey from the nearshore reefs in Guam during 2014. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/639879, NSF Division of Ocean Sciences (NSF OCE) OCE-1418673

Dataset: Species list, List of coral species with codes surveyed at stations from nearshore reefs in Guam in 2014. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/639865, NSF Division of Ocean Sciences (NSF OCE) OCE-1418673

Efficiently detecting and characterizing individual spins in solid-state hosts is an essential step to expand the fields of quantum sensing and quantum information processing. While selective detection and control of a few 13C nuclear spins in diamond have been demonstrated using the electron spin of nitrogen-vacancy (NV) centers, a reliable, efficient, and automatic characterization method is desired. Here, we develop an automated algorithmic method for decomposing spectral data to identify and characterize multiple nuclear spins in diamond. We demonstrate efficient nuclear spin identification and accurate reproduction of hyperfine interaction components for both virtual and experimental nuclear spectroscopy data. We conduct a systematic analysis of this methodology and discuss the range of hyperfine interaction components of each nuclear spin that the method can efficiently detect. The result demonstrates a systematic approach that automatically detects nuclear spins with the aid of computational methods, facilitating the future scalability of devices., QID/Taminiau Lab, QuTech

Sue-Jung Kim,1 Hyo-Jeong Kim,2 Kiho Kim3 1Department of Psychology, Chung-Ang University, Seoul, South Korea; 2Department of Psychology, Seoul National University, Seoul, South Korea; 3Department of Psychology of Counseling, Sejong Cyber University, Seoul, South KoreaCorrespondence: Kiho Kim Department of Psychology of CounselingSejong Cyber University, Cheonho-Daero 680, Gwangjin-Gu, Seoul 04992, South KoreaEmail kihohere@gmail.comPurpose: This study investigated how an individual’s time perspective of the present and the future affects the delay of gratification, using the construal level theory. In addition, the mechanisms that influence the time perspective on the delay of gratification were examined through the mediating roles of the psychological distance and the perceived possibility of getting a future reward.Participants and Methods: One hundred twenty university students completed the Korean version of the Swedish Zimbardo Time Perspective Inventory (S-ZTPI) and performed a Temporal Discounting task to aid in the evaluation of their ability to delay gratification. Their psychological distance to the future and perceived possibility of getting a future reward were measured using the visual analogue scale.Results: The results showed that once the Present-Hedonistic and Future-Negative from among the six-time perspectives increased, and the ability to delayed gratification decreased. On the other hand, once the Future-Positive time perspective increased, the ability to delayed gratification increased. Only the psychological distance for 9 months was associated with time perspective and the mediation effect was not significant. Present-Hedonistic time perspective negatively predicted the perceived possibility of getting a future reward and the delay of gratification. The perceived possibility of getting a future reward fully mediated the relation between the Future-Negative time perspective and the delay of gratification.Conclusion: These findings su