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  1. 19861
  2. 19862
  3. 19863
  4. 19864

    Upper-tropospheric pollutants observed by MIPAS: geographic and seasonal variations by N. Glatthor, G. P. Stiller, T. von Clarmann, B. Funke, S. Kellmann, A. Linden

    Published 2025-01-01
    “…The southern hemispheric <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M10" display="inline" overflow="scroll" dspmath="mathml"><mrow><mi mathvariant="normal">Δ</mi><mrow class="chem"><msub><mi mathvariant="normal">C</mi><mn mathvariant="normal">2</mn></msub><msub><mi mathvariant="normal">H</mi><mn mathvariant="normal">6</mn></msub></mrow><mo>/</mo><mi mathvariant="normal">Δ</mi><mrow class="chem"><mi mathvariant="normal">HCN</mi></mrow></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="74pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="ef4c16a1fc51e58a967532eec31bd8b5"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-25-1175-2025-ie00001.svg" width="74pt" height="14pt" src="acp-25-1175-2025-ie00001.png"/></svg:svg></span></span> ERs obtained during August to October are in good agreement with the emission ratio for savanna fires. …”
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  5. 19865
  6. 19866

    Technical note: A fast and reproducible autosampler for direct vapor equilibration isotope measurements by J. Pyschik, S. Seeger, S. Seeger, B. Herbstritt, M. Weiler

    Published 2025-01-01
    “…VapAuSa measurements have a negligible measurement bias (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M4" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>&lt;</mo><mn mathvariant="normal">1</mn><mo>×</mo><msup><mn mathvariant="normal">10</mn><mrow><mo>-</mo><mn mathvariant="normal">13</mn></mrow></msup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="56pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="84c4c517ec0a57ff59e5ade77a9a4f92"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="hess-29-525-2025-ie00001.svg" width="56pt" height="14pt" src="hess-29-525-2025-ie00001.png"/></svg:svg></span></span> ‰ for both <span class="inline-formula"><i>δ</i><sup>2</sup></span>H and <span class="inline-formula"><i>δ</i><sup>18</sup></span>O) and similar measurement repeatability compared to manual analysis of identical samples (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M7" display="inline" overflow="scroll" dspmath="mathml"><mrow><msup><mi mathvariant="italic">δ</mi><mn mathvariant="normal">2</mn></msup><mrow class="chem"><mi mathvariant="normal">H</mi></mrow><mo>=</mo><mo>±</mo><mn mathvariant="normal">4.5</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="58pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="a1756e064ae97bf3fb705c96a90e616e"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="hess-29-525-2025-ie00002.svg" width="58pt" height="14pt" src="hess-29-525-2025-ie00002.png"/></svg:svg></span></span> ‰ and <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M8" display="inline" overflow="scroll" dspmath="mathml"><mrow><msup><mi mathvariant="italic">δ</mi><mn mathvariant="normal">18</mn></msup><mrow class="chem"><mi mathvariant="normal">O</mi></mrow><mo>=</mo><mo>±</mo></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="49pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="5b12edb21efb09f699689b93d39aa9cd"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="hess-29-525-2025-ie00003.svg" width="49pt" height="14pt" src="hess-29-525-2025-ie00003.png"/></svg:svg></span></span>0.58 ‰ for VapAuSa measurements vs. …”
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  7. 19867
  8. 19868
  9. 19869
  10. 19870
  11. 19871

    Deployment and evaluation of an NH<sub>4</sub><sup>+</sup>∕&thinsp;H<sub>3</sub>O<sup>+</sup> reagent ion switching chemical ionization mass spectrometer for the detection of reduc... by C. L. Zang, M. D. Willis

    Published 2025-01-01
    “…Sensitivities are comparable to other similar instruments (up to <span class="inline-formula">∼</span>5 <span class="inline-formula">counts</span> <span class="inline-formula">s<sup>−1</sup></span> <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M14" display="inline" overflow="scroll" dspmath="mathml"><mrow class="unit"><msubsup><mi mathvariant="normal">ppt</mi><mi mathvariant="normal">v</mi><mrow><mo>-</mo><mn mathvariant="normal">1</mn></mrow></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="27pt" height="16pt" class="svg-formula" dspmath="mathimg" md5hash="03e69d0b8a5da11c6fbc4c8c60f3b361"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="amt-18-17-2025-ie00006.svg" width="27pt" height="16pt" src="amt-18-17-2025-ie00006.png"/></svg:svg></span></span>), with detection limits on the order of 1–10 s of <span class="inline-formula">ppt<sub>v</sub></span> (1 <span class="inline-formula">s</span> integration time). …”
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  12. 19872
  13. 19873
  14. 19874
  15. 19875

    Impact of mineral dust on the global nitrate aerosol direct and indirect radiative effect by A. Milousis, K. Klingmüller, A. P. Tsimpidi, J. F. Kok, M. Kanakidou, M. Kanakidou, M. Kanakidou, A. Nenes, A. Nenes, V. A. Karydis

    Published 2025-01-01
    “…While the presence of NO<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M20" display="inline" overflow="scroll" dspmath="mathml"><mrow><msubsup><mi/><mn mathvariant="normal">3</mn><mo>-</mo></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="9pt" height="16pt" class="svg-formula" dspmath="mathimg" md5hash="9a17d6ab4c67d7f6701d29ccd0703b2e"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-25-1333-2025-ie00007.svg" width="9pt" height="16pt" src="acp-25-1333-2025-ie00007.png"/></svg:svg></span></span> aerosol enhances the ability of mineral dust particles to act as cloud condensation nuclei (CCN), it simultaneously inhibits the formation of cloud droplets from the smaller anthropogenic particles. …”
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  16. 19876
  17. 19877
  18. 19878

    Prevalence of chronic kidney disease among Chinese adults with diabetes: a nationwide population-based cross-sectional studyResearch in context by Weiping Jia, Rong Yu, Limin Wang, Dalong Zhu, Lixin Guo, Jianping Weng, Hong Li, Mei Zhang, Xiaoqi Ye, Zhiguang Zhou, Dajin Zou, Qiuhe Ji, Xiaohui Guo, Yinan Zhang, Dong Lang, Jiarui Wu, Jing Wu, Xuhong Hou, Xiaohui Guo, Kai Wu, Liming Chen, Demin Liu, Guangyao Song, Linyi Shu, Jing Yang, Yan Wang, Dongmei Li, Qiansha Guo, Ling Li, Na Wu, Yadong Sun, Huifang Cheng, Hongyu Kuang, Huijuan Zhang, Weiping Jia, Xuhong Hou, Dalong Zhu, Jian Zhu, Hong Li, Fenping Zheng, Qiu Zhang, Honglin Hu, Gang Chen, Xingquan Yang, Xiaoyang Lai, Jianping Liu, Li Chen, Ming Dong, Zhigang Zhao, Jian Liu, Guangda Xiang, Junxia Zhang, Zhiguang Zhou, Jian Peng, Jianping Weng, Longyi Zeng, Yuzhen Liang, Guoqiao Li, Kaining Chen, Leweihua Lin, Qifu Li, Qingfeng Cheng, Xingwu Ran, Dawei Chen, Hong Li, Xin Nian, Lihui Yang, Shuyou Meng, Jing Xu, Junhong Long, Jing Liu, Qi Zhang, Qingxiang Dai, Xiaomin Xie, Guirong Bai, Jun Li, Tao Li, Zhong Dong, Tao Zhang, Sijia Liu, Yong Yang, Kun Geng, Wenlong Zheng, Zhihong Li, Hui Wang, Zuojun Wu, Miao Wang, Jixin Sun, Jianwei Zhou, Jun An, Huaqing Shen, Yanfang Li, Zeping Ren, Xiuli Xue, Shaohui Jia, Yongping Zheng, Jiaoxia Li, Yonggang Qian, Ping Ma, Yan Su, Liang Cao, Xuyi Yang, Guowei Pan, Guangzhi Pan, Ling Jin, Quanfu Yu, Yunfei Liu, Yingli Zhu, Zhifang Cheng, Jun Yang, Chundi Jia, Qing Wang, Shichun Yan, Jingyang Huang, Yumei Chi, Li Zhang, Ruifa Pang, Yan Shi, Yan Lu, Yiling Wu, Jie Yu, Chunxiang Wu, Jinyi Zhou, Yunxia Wu, Ning Zhang, Jing Sun, Xiumei Tian, Jieming Zhong, Jingying Chen, Kaixu Xie, Lingjuan Fu, Xiaohua Wang, Yeji Chen, Ling Zeng, Zhenqian Cao, Maomin Yang, Biao Hu, Wenling Zhong, Qingyan Liu, Zhiding Huang, Qingbin Lai, Yuyu Zhang, Liping Zhu, Yujing Zhao, Wuming Tao, Yonghai Tu, Lin Zhou, Xiaolei Guo, Benzheng Chai, Liping Ding, Yuewei Zou, Dongzhi Li, Li Hua, Shixian Feng, Jianli Guo, Wanguang Liu, Qingxiang Li, Yunzhi Zheng, Minli Xu, Lan Zhang, Chunbo Li, Yingchao Wan, Chi Hu, Shengping Xu, Biyun Chen, Huilin Liu, Xiaojia Bian, Wenwei Chen, Honghua Li, Yanjun Xu, Fan Weng, Hong Wu, Weijin Zhang, Liankai Zhu, Jun Meng, Jin Yang, Yongsong Zeng, Gaoke Zhai, Lingfeng Qin, Yi Lu, Zhenwang Fu, Shukuan Wu, Caigang Li, Na Wang, Lianfen Chen, Xianbin Ding, Qi Zhou, Yiling Xie, Rui Chen, Dongsheng Yang, Ying Deng, Youping Hu, Bo Huang, Ping Wang, Peng Cai, Changyan Peng, Xiaofang Chen, Ling Li, Liang Xiao, Chenglin Wang, Chaogang Tan, Daobin Chen, Min Chen, Mingfang Qin, Zhaomin Lei, Jianzhi Qiu, Wei Yu, Yunfei Li, Guoxia Bai, Ying Wang, Lin Qiu, Ning Wang, Xudong Zhao, Ani Yan, Jianfei Liu, Tingcai Wang, Kaihua Hao, Zaihong Zhang, Zhanqi Xian, Tenghuan Ma, Zhihua Xu, Yi Yang, Hongli Wang, Rong Li, Zhonggang Zhao, Caixia Fan, Purhati, Hongjun Xu, Liping Gao

    Published 2025-02-01
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  19. 19879

    Comprehensive increase in CO<sub>2</sub> release by drying–rewetting cycles among Japanese forests and pastureland soils and exploring predictors of increasing magnitude by Y. Suzuki, Y. Suzuki, S. Hiradate, J. Koarashi, M. Atarashi-Andoh, T. Yomogida, Y. Kanda, H. Nagano

    Published 2025-01-01
    “…Analysis of the relations between this increasing magnitude of <span class="inline-formula">CO<sub>2</sub></span> release by DWCs (IF<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M8" display="inline" overflow="scroll" dspmath="mathml"><msub><mi/><mrow class="chem"><msub><mi mathvariant="normal">CO</mi><mn mathvariant="normal">2</mn></msub></mrow></msub></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="18pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="35d0ef4c1024065a846229745b188a25"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="soil-11-35-2025-ie00001.svg" width="18pt" height="10pt" src="soil-11-35-2025-ie00001.png"/></svg:svg></span></span>) and various environmental and soil properties revealed significant positive correlations between IF<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M9" display="inline" overflow="scroll" dspmath="mathml"><msub><mi/><mrow class="chem"><msub><mi mathvariant="normal">CO</mi><mn mathvariant="normal">2</mn></msub></mrow></msub></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="18pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="63e67ec2b1b20349090e8dc0af598eb8"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="soil-11-35-2025-ie00002.svg" width="18pt" height="10pt" src="soil-11-35-2025-ie00002.png"/></svg:svg></span></span> and soil organo-metal complex contents (<span class="inline-formula"><i>p</i>&lt;0.05</span>), especially pyrophosphate-extractable aluminum (Alp) content (<span class="inline-formula"><i>r</i>=0.74</span>). …”
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  20. 19880