Subject Terms: data-model comparison, model validation, forecasting, plasma sheet electrons, STONE curve, ROC curve, Electrical Engineering, Engineering
File Description: application/pdf
Relation: Liemohn, Michael W.; Adam, Joshua G.; Ganushkina, Natalia Yu (2022). "Analysis of Features in a Sliding Threshold of Observation for Numeric Evaluation (STONE) Curve." Space Weather 20(6): n/a-n/a.; https://hdl.handle.net/2027.42/172933; Space Weather; Mathieu, J. A., & Aires, F. ( 2018 ). Using neural network classifier approach for statistically forecasting extreme corn yield losses in Eastern United States. Earth and Space Science, 5 ( 10 ), 622 – 639. https://doi.org/10.1029/2017EA000343; Azari, A. R., Liemohn, M. W., Jia, X., Thomsen, M. F., Mitchell, D. G., Sergis, N., et al. ( 2018 ). Interchange injections at Saturn: Statistical survey of energetic H + sudden flux intensifications. Journal of Geophysical Research: Space Physics, 123 ( 6 ), 4692 – 4711. https://doi.org/10.1029/2018JA025391; Azari, A. R., Lockhart, J., Liemohn, M. W., & Jia, X. ( 2020 ). Incorporating physical knowledge into machine learning for planetary space physics. Frontiers in Astronomy and Space Sciences, 7, 36. https://doi.org/10.3389/fspas.2020.00036; Azzalini, A., & Capitanio, A. ( 1999 ). Statistical applications of the multivariate skew normal distribution. Journal of the Royal Statistical Society: Series B, 61 ( 3 ), 579 – 602. https://doi.org/10.1111/1467-9868.00194; Ganushkina, N. Y., Amariutei, O. A., Welling, D., & Heynderickx, D. ( 2015 ). Nowcast model for low-energy electrons in the inner magnetosphere. Space Weather, 13 ( 1 ), 16 – 34. https://doi.org/10.1002/2014SW001098; Ganushkina, N. Y., Sillanpaa, I., Welling, D. T., Haiducek, J., Liemohn, M. W., Dubyagin, S., & Rodriguez, J. ( 2019 ). Validation of Inner Magnetosphere Particle Transport and Acceleration Model (IMPTAM) on the long-term GOES MAGED measurements of keV electron fluxes at geostationary orbit. Space Weather, 17 ( 5 ), 687 – 708. https://doi.org/10.1029/2018SW002028; Halford, A., Kellerman, A., Garcia-Sage, K., Klenzing, J., Carter, B., McGranaghan, R., et al. ( 2019 ). Application usability levels: A framework for tracking project product progress. Journal of Space Weather and Space Climate, 9, A34. https://doi.org/10.1051/swsc/2019030; Hogan, R. J., & Mason, I. B. ( 2012 ). Deterministic forecasts of binary events. In I. T. Jolliffe & D. B. Stephenson (Eds.), Forecast verification: A practitioner’s guide in atmospheric science ( 2nd ed., Chap. 3, pp. 31 – 60 ). John Wiley, Ltd. https://doi.org/10.1002/9781119960003.ch3; Joliffe, I. T., & Stephenson, D. B. ( 2012 ). Forecast verification: A practitioner’s guide in atmospheric science. Wiley-Blackwell.; Kubo, Y., Mitsue, D., & Mamoru, I. ( 2017 ). Verification of operational solar flare forecast: Case of regional warning center Japan. Journal of Space Weather & Space Climate, 7, A20. https://doi.org/10.1051/swsc/2017018; Liemohn, M. W., Azari, A. R., Ganushkina, N. Y., & Rastätter, L. ( 2020 ). The STONE curve: A ROC-based model performance assessment tool. Earth and Space Science, 6 ( 8 ), e2020EA001106. https://doi.org/10.1029/2020EA001106; Liemohn, M. W., Shane, A. D., Azari, A. R., Petersen, A. K., Swiger, B. M., & Mukhopadhyay, A. ( 2021 ). RMSE is not enough: Guidelines to robust data-model comparisons for magnetospheric physics. Journal of Atmospheric and Solar-Terrestrial Physics, 218, 105624. https://doi.org/10.1016/j.jastp.2021.105624; Manzato, A. ( 2005 ). An odds ratio parameterization for ROC diagram and skill score indices. Weather and Forecasting, 20 ( 6 ), 918 – 930. https://doi.org/10.1175/WAF899.1; Mason, I. B. ( 1982 ). A model for assessment of weather forecasts. Australian Meteorological Magazine, 30, 291 – 303.; Meade, B. J., DeVries, P. M. R., Faller, J., Viegas, F., & Wattenberg, M. ( 2017 ). What is better than Coulomb failure stress? A ranking of scalar static stress triggering mechanisms from 10 5 mainshock-aftershock pairs. Geophysical Research Letters, 44 ( 22 ), 11409 – 11416. https://doi.org/10.1002/2017GL075875; Morley, S. K., Brito, T. V., & Welling, D. T. ( 2018 ). Measures of model performance based on the log accuracy ratio. Space Weather, 16 ( 1 ), 69 – 88. https://doi.org/10.1002/2017SW001669; Murphy, A. H. ( 1991 ). Forecast verification: Its complexity and dimensionality. Monthly Weather Review, 119 ( 7 ), 1590 – 1601. https://doi.org/10.1175/1520-0493(1991)1192.0.co;2; Potts, J. M. ( 2021 ). Basic concepts. In I. T. Jolliffe & D. B. Stephenson (Eds.), Forecast verification. https://doi.org/10.1002/9781119960003.ch2; Rowland, W., & Weigel, R. S. ( 2012 ). Intracalibration of particle detectors on a three-axis stabilized geostationary platform. Space Weather, 10 ( 11 ). https://doi.org/10.1029/2012SW000816; Swets, J. A. ( 1986 ). Indices of discrimination or diagnostic accuracy: Their ROCs and implied models. Psychological Bulletin, 99 ( 1 ), 100 – 117. https://doi.org/10.1037/0033-2909.99.1.100; Wilks, D. S. ( 2019 ). Statistical methods in the atmospheric sciences ( 4th ed. ). Academic Press.
Subject Terms: forecasting, model validation, data‐model comparison, STONE curve, ROC curve, Atmospheric and Oceanic Sciences, Geological Sciences, Space Sciences, Science
File Description: application/pdf
Relation: Liemohn, Michael W.; Azari, Abigail R.; Ganushkina, Natalia Y.; Rastätter, Lutz (2020). "The STONE Curve: A ROC‐Derived Model Performance Assessment Tool." Earth and Space Science 7(8): n/a-n/a.; https://hdl.handle.net/2027.42/156486; Earth and Space Science; Murphy, A. H., & Winkler, R. L. ( 1987 ). A general framework for forecast verification. Monthly Weather Review, 115 ( 7 ), 1330 – 1338. https://doi.org/10.1175/1520-0493(1987)115%3C1330:AGFFFV%3E2.0.CO;2; Liemohn, M. W., Ganushkina, N. Y., De Zeeuw, D. L., Rastaetter, L., Kuznetsova, M., Welling, D. T., Toth, G., Ilie, R., Gombosi, T. I., & van der Holst, B. ( 2018 ). Real‐time SWMF and CCMC: Assessing the Dst output from continuous operational simulations. Space Weather, 16, 1583 – 1603. https://doi.org/10.1029/2018SW001953; Liemohn, M. W., & Jazowski, M. ( 2008 ). Ring current simulations of the 90 intense storms during solar cycle 23. Journal of Geophysical Research, 113, A00A17. https://doi.org/10.1029/2008JA013466; Liemohn, M. W., McCollough, J. P., Jordanova, V. K., Ngwira, C. M., Morley, S. K., Cid, C., Tobiska, W. K., Wintoft, P., Ganushkina, N. Y., Welling, D. T., Bingham, S., Balikhin, M. A., Opgenoorth, H. J., Engel, M. A., Weigel, R. S., Singer, H. J., Buresova, D., Bruinsma, S., Zhelavskaya, I., Shprits, Y. Y., & Vasile, R. ( 2018 ). Model evaluation guidelines for geomagnetic index predictions. Space Weather, 16, 2079 – 2102. https://doi.org/10.1029/2018SW002067; Liemohn, M. W., Xu, S., Dong, C., Bougher, S. W., Johnson, B. C., Ilie, R., & De Zeeuw, D. L. ( 2017 ). Ionospheric control of the dawn‐dusk asymmetry of the Mars magnetotail current sheet. Journal of Geophysical Research: Space Physics, 122, 6397 – 6414. https://doi.org/10.1002/2016JA023707; Ma, Y. J., Nagy, A. F., Russell, C. T., Strangeway, R. J., Wei, H. Y., & Toth, G. ( 2013 ). A global multispecies single‐fluid MHD study of the plasma interaction around Venus. Journal of Geophysical Research: Space Physics, 118, 321 – 330. https://doi.org/10.1029/2012JA018265; Mason, I. B. ( 1982 ). A model for assessment of weather forecasts. Australian Meteorological Magazine, 30, 291 – 303.; Manzato, A. ( 2005 ). An odds ratio parameterization for ROC diagram and skill score indices. Weather and Forecasting, 20 ( 6 ), 918 – 930. https://doi.org/10.1175/WAF899.1; Manzato, A. ( 2007 ). A note on the maximum Peirce skill score. Weather and Forecasting, 22 ( 5 ), 1148 – 1154. https://doi.org/10.1175/WAF1041.1; Mathieu, J. A., & Aires, F. ( 2018 ). Using neural network classifier approach for statistically forecasting extreme corn yield losses in Eastern United States. Earth and Space Science, 5, 622 – 639. https://doi.org/10.1029/2017EA000343; Meade, B. J., DeVries, P. M. R., Faller, J., Viegas, F., & Wattenberg, M. ( 2017 ). What is better than Coulomb failure stress? A ranking of scalar static stress triggering mechanisms from 10 5 mainshock‐aftershock pairs. Geophysical Research Letters, 44, 11,409 – 11,416. https://doi.org/10.1002/2017GL075875; Morley, S. K., Brito, T. V., & Welling, D. T. ( 2018 ). Measures of model performance based on the log accuracy ratio. Space Weather, 16, 69 – 88. https://doi.org/10.1002/2017SW001669; Muller, R. H. ( 1944 ). Verification of short‐range weather forecasts (a survey of the literature). Bulletin of the American Meteorological Society, 25 ( 1 ), 18 – 27. https://doi.org/10.1175/1520-0477-25.1.18; Murphy, A. H. ( 1996 ). The Finley affair: A signal event in the history of forecast verification. Weather and Forecasting, 11 ( 1 ), 3 – 20. https://doi.org/10.1175/1520-0434(1996)011%3C0003:TFAASE%3E2.0.CO;2; Pulkkinen, A., Rastätter, L., Kuznetsova, M., Singer, H., Balch, C., Weimer, D., Toth, G., Ridley, A., Gombosi, T., Wiltberger, M., Raeder, J., & Weigel, R. ( 2013 ). Community‐wide validation of geospace model ground magnetic field perturbation predictions to support model transition to operations. Space Weather, 11, 369 – 385. https://doi.org/10.1002/swe.20056; Reuter, B., & Schweizer, J. ( 2018 ). Describing snow instability by failure initiation, crack propagation, and slab tensile support. Geophysical Research Letters, 45, 7019 – 7027. https://doi.org/10.1029/2018GL078069; Rostoker, G. ( 1972 ). Geomagnetic indices. Reviews of Geophysics and Space Physics, 10 ( 4 ), 935 – 950. https://doi.org/10.1029/RG010i004p00935; Rowland, W., & Weigel, R. S. ( 2012 ). Intracalibration of particle detectors on a three‐axis stabilized geostationary platform. Space Weather, 10, S11002. https://doi.org/10.1029/2012SW000816; Sillanpaa, I., Ganushkina, N. Y., Dubyagin, S., & Rodriguez, J. V. ( 2017 ). Electron fluxes at geostationary orbit from GOES MAGED data. Space Weather, 15, 1602 – 1614. https://doi.org/10.1002/2017SW001698; Stefanescu, E. R., Patra, A. K., Bursik, M. I., Madankan, R., Pouget, S., Jones, M., Singla, P., Singh, T., Pitman, E. B., Pavolonis, M., Morton, D., Webley, P., & Dehn, J. ( 2014 ). Temporal, probabilistic mapping of ash clouds using wind field stochastic variability and uncertain eruption source parameters: Example of the 14 April 2010 Eyjafjallajökull eruption. Journal of Advances in Modeling Earth Systems, 6, 1173 – 1184. https://doi.org/10.1002/2014MS000332; Stephenson, D. B., Casati, B., Ferro, C. A. T., & Wilson, C. A. ( 2008 ). The extreme dependency score: A non‐vanishing measure for forecasts of rare events. Meteorological Applications, 15 ( 1 ), 41 – 50. https://doi.org/10.1002/met.53; Swets, J. A. ( 1973 ). The relative operating characteristic in psychology. Science, 182 ( 4116 ), 990 – 1000. https://doi.org/10.1126/science.182.4116.990; Toth, G., van der Holst, B., Sokolov, I. V., De Zeeuw, D. L., Gombosi, T. I., Fang, F., Manchester, W. B., Meng, X., Najib, D., Powell, K. G., Stout, Q. F., Glocer, A., Ma, Y.‐J., & Opher, M. ( 2012 ). Adaptive numerical algorithms in space weather modeling. Journal of Computational Physics, 231 ( 3 ), 870 – 903. https://doi.org/10.1016/j.jcp.2011.02.006; Wilks, D. S. ( 2019 ). Statistical methods in the atmospheric sciences ( 4th ed. ). Oxford: Academic Press.; Yu, Y., Ridley, A. J., Welling, D. T., & Tóth, G. ( 2010 ). Including gap region field‐aligned currents and magnetospheric currents in the MHD calculation of ground‐based magnetic field perturbations. Journal of Geophysical Research: Space Physics, 115 ( A8 ). https://doi.org/10.1029/2009ja014869; Anagnostopoulos, G. G., Fatichi, S., & Burlando, P. ( 2015 ). An advanced process‐based distributed model for the investigation of rainfall‐induced landslides: The effect of process representation and boundary conditions. Water Resources Research, 51, 7501 – 7523. https://doi.org/10.1002/2015WR016909; Azari, A. R., Liemohn, M. W., Jia, X., Thomsen, M. F., Mitchell, D. G., Sergis, N., Rymer, A. M., Hospodarsky, G. B., Paranicas, C., & Vandegriff, J. ( 2018 ). Interchange injections at Saturn: Statistical survey of energetic H + sudden flux intensifications. Journal of Geophysical Research: Space Physics, 123, 4692 – 4711. https://doi.org/10.1029/2018JA025391; Bobra, M. G., & Couvidat, S. ( 2015 ). Solar flare prediction using SDO/HMI vector magnetic field data with a machine learning algorithm. The Astrophysical Journal, 798 ( 2 ), 135. https://doi.org/10.1088/0004-637X/798/2/135; Borah, N., Sahai, A. K., Chattopadhyay, R., Joseph, S., Abhilash, S., & Goswami, B. N. ( 2013 ). A self‐organizing map–based ensemble forecast system for extended range prediction of active/break cycles of Indian summer monsoon. Journal of Geophysical Research: Atmospheres, 118, 9022 – 9034. https://doi.org/10.1002/jgrd.50688; Boynton, R. J., Amariutei, O. A., Shprits, Y. Y., & Balikhin, M. A. ( 2019 ). The system science development of local time‐dependent 40‐keV electron flux models for geostationary orbit. Space Weather, 17, 894 – 906. https://doi.org/10.1029/2018SW002128; Brenning, A., Grasser, M., & Friend, D. A. ( 2007 ). Statistical estimation and generalized additive modeling of rock glacier distribution in the San Juan Mountains, Colorado, United States. Journal of Geophysical Research, 112, F02S15. https://doi.org/10.1029/2006JF000528; Carter, J. V., Pan, J., Rai, S. N., & Galandiuk, S. ( 2016 ). ROC‐ing along: Evaluation and interpretation of receiver operating characteristic curves. Surgery, 159 ( 6 ), 1638 – 1645. https://doi.org/10.1016/j.surg.2015.12.029; Chen, Y., Manchester, W. B., Hero, A. O., Toth, G., Dufumier, B., Zhou, T., Wang, X., Zhu, H., Sun, Z., & Gombosi, T. I. ( 2019 ). Identifying solar flare precursors using time series of SDO/HMI images and SHARP parameters. Space Weather, 17, 1404 – 1426. https://doi.org/10.1029/2019SW002214; Delle Monache, L., Hacker, J. P., Zhou, Y., Deng, X., & Stull, R. B. ( 2006 ). Probabilistic aspects of meteorological and ozone regional ensemble forecasts. Journal of Geophysical Research, 111, D24307. https://doi.org/10.1029/2005JD006917; Dong, C., Bougher, S. W., Ma, Y., Toth, G., Nagy, A. F., & Najib, D. ( 2014 ). Solar wind interaction with Mars upper atmosphere: Results from the one‐way coupling between the multifluid MHD model and the MTGCM model. Geophysical Research Letters, 41, 2708 – 2715. https://doi.org/10.1002/2014GL059515; Ekelund, S. ( 2011 ). ROC curves—What are they and how are they used? Point of Care, 11 ( 1 ), 16 – 21. https://doi.org/10.1097/POC.0b013e318246a642; Fawcett, T. ( 2006 ). An introduction to ROC analysis. Pattern Recognition Letters, 27 ( 8 ), 861 – 874. https://doi.org/10.1016/j.patrec.2005.10.010; Gabriel, P., Barker, H. W., O’Brien, D., Ferlay, N., & Stephens, G. L. ( 2009 ). Statistical approaches to error identification for plane‐parallel retrievals of optical and microphysical properties of three‐dimensional clouds: Bayesian inference. Journal of Geophysical Research, 114, D06207. https://doi.org/10.1029/2008JD011005; Ganushkina, N. Y., Amariutei, O. A., Shprits, Y. Y., & Liemohn, M. W. ( 2013 ). Transport of the plasma sheet electrons to the geostationary distances. Journal of Geophysical Research: Space Physics, 118, 82 – 98. https://doi.org/10.1029/2012JA017923; Ganushkina, N. Y., Amariutei, O. A., Welling, D., & Heynderickx, D. ( 2015 ). Nowcast model for low‐energy electrons in the inner magnetosphere. Space Weather, 13, 16 – 34. https://doi.org/10.1002/2014SW001098; Ganushkina, N. Y., Liemohn, M. W., Amariutei, O. A., & Pitchford, D. ( 2014 ). Low‐energy electrons (550 keV) in the inner magnetosphere. Journal of Geophysical Research: Space Physics, 119, 246 – 259. https://doi.org/10.1002/2013JA019304; Ganushkina, N. Y., Liemohn, M. W., & Dubyagin, S. ( 2018 ). Current systems in the Earth’s magnetosphere. Reviews of Geophysics, 26, 309 – 332. https://doi.org/10.1002/2017RG000590; Ganushkina, N. Y., Sillanpaa, I., Welling, D. T., Haiducek, J., Liemohn, M. W., Dubyagin, S., & Rodriguez, J. ( 2019 ). Validation of inner magnetosphere particle transport and acceleration model (IMPTAM) on the long‐term GOES MAGED measurements of keV electron fluxes at geostationary orbit. Space Weather, 17, 687 – 708. https://doi.org/10.1029/2018SW002028; Ganushkina, N. Y., Pulkkinen, T. I., Bashkirov, V. F., Baker, D. N., & Li, X. ( 2001 ). Formation of intense nose structures. Geophysical Research Letters, 28, 491 – 494. https://doi.org/10.1029/2000GL011955; Gonzalez, W. D., Joselyn, J. A., Kamide, Y., Kroehl, H. W., Rostoker, G., Tsurutani, B. T., & Vasyliunas, V. M. ( 1994 ). What is a geomagnetic storm?. Journal of Geophysical Research, 99 ( A4 ), 5771 – 5792. https://doi.org/10.1029/93ja02867; Halford, A., Kellerman, A., Garcia‐Sage, K., Klenzing, J., Carter, B., McGranaghan, R., Guild, T., Cid, C., Henney, C., Ganushkina, N., Burrell, A., Terkildsen, M., Thompson, B. J., Pulkkinen, A., McCollough, J., Murray, S., Leka, K. D., Fung, S., Bingham, S., Walsh, B., Liemohn, M., Bisi, M., Morley, S., & Welling, D. ( 2019 ). Application usability levels: A framework for tracking project product progress. Journal of Space Weather and Space Climate, 9, A34. https://doi.org/10.1051/swsc/2019030; Hogan, R. J., & Mason, I. B. ( 2012 ). Deterministic forecasts of binary events. In I. T. Jolliffe, & D. B. Stephenson (Eds.), Forecast verification ( 31 – 60 ). Hoboken, NJ: Wiley‐Blackwell. https://doi.org/10.1002/9781119960003.ch3; Ippolito, A., Scotto, C., Sabbagh, D., Sgrigna, V., & Maher, P. ( 2016 ). A procedure for the reliability improvement of the oblique ionograms automatic scaling algorithm. Radio Science, 51, 454 – 460. https://doi.org/10.1002/2015RS005919; Jia, X., Hansen, K. C., Gombosi, T. I., Kivelson, M. G., Toth, G., DeZeeuw, D. L., & Ridley, A. J. ( 2012 ). Magnetospheric configuration and dynamics of Saturn’s magnetosphere: A global MHD simulation. Journal of Geophysical Research, 117, A05225. https://doi.org/10.1029/2012JA017575; Jolliffe, I. T., & Stephenson, D. B. ( 2012 ). Forecast verification: A practitioner’s guide in atmospheric science. Hoboken, NJ: Wiley‐Blackwell.; Katus, R. M., & Liemohn, M. W. ( 2013 ). Similarities and differences in low‐to‐mid‐latitude geomagnetic indices. Journal of Geophysical Research: Space Physics, 118, 5149 – 5156. https://doi.org/10.1002/jgra.50501; Li, X. ( 2004 ). Variations of 0.7–6.0 MeV electrons at geosynchronous orbit as a function of solar wind. Space Weather, 2, S03006. https://doi.org/10.1029/2003SW000017
Availability:
https://doi.org/10.1029/2020EA001106
https://doi.org/10.1175/WAF899.1
https://doi.org/10.1175/WAF1041.1
https://doi.org/10.1175/1520-0477-25.1.18
https://doi.org/10.1175/1520-0434(1996)011%3C0003:TFAASE%3E2.0.CO;2
https://doi.org/10.1029/RG010i004p00935
https://doi.org/10.1126/science.182.4116.990
https://doi.org/10.1016/j.patrec.2005.10.010
https://doi.org/10.1029/2003SW000017
https://hdl.handle.net/2027.42/156486
Authors: Liu, Yu, Jin, Xi, Hong, Hyokyoung G., Xiang, Liyuan, Jiang, Qingyao, Ma, Yucheng, Chen, Zude, Cheng, Liang, Jian, Zhongyu, Wei, Zhitao, Ai, Jianzhong, Qi, Shiqian, Sun, Qun, Li, Hong, Li, Yi, Wang, Kunjie
Subject Terms: renal calcium oxalate stones, shotgun metagenomics, sgut microbiota, 16s Rrna, short chain fatty acids, Biology, Science
File Description: application/pdf
Relation: Liu, Yu; Jin, Xi; Hong, Hyokyoung G.; Xiang, Liyuan; Jiang, Qingyao; Ma, Yucheng; Chen, Zude; Cheng, Liang; Jian, Zhongyu; Wei, Zhitao; Ai, Jianzhong; Qi, Shiqian; Sun, Qun; Li, Hong; Li, Yi; Wang, Kunjie (2020). "The relationship between gut microbiota and short chain fatty acids in the renal calcium oxalate stones disease." The FASEB Journal (8): 11200-11214.; https://hdl.handle.net/2027.42/156429; The FASEB Journal; Scheiman J, Luber JM, Chavkin TA, et al. Meta‐omics analysis of elite athletes identifies a performance‐enhancing microbe that functions via lactate metabolism. Nat Med. 2019; 25: 1104 ‐ 1109.; Amato M, Lusini ML, Nelli F. Epidemiology of nephrolithiasis today. Urol Int. 2004; 72 ( Suppl 1 ): 1 ‐ 5.; Liu Y, Chen Y, Liao B, et al. Epidemiology of urolithiasis in Asia. Asian J Urol. 2018; 5: 205 ‐ 214.; Sadaf H, Raza SI, Hassan SW. Role of gut microbiota against calcium oxalate. Microb Pathog. 2017; 109: 287 ‐ 291.; Tasian GE, Jemielita T, Goldfarb DS, et al. Oral antibiotic exposure and kidney stone disease. J Am Soc Nephrol. 2018; 29: 1731 ‐ 1740.; Allison MJ, Dawson KA, Mayberry WR, Foss JG. Oxalobacter formigenes gen. nov., sp. nov.: oxalate‐degrading anaerobes that inhabit the gastrointestinal tract. Arch Microbiol. 1985; 141: 1 ‐ 7.; Tavasoli S, Alebouyeh M, Naji M, et al. Association of intestinal oxalate‐degrading bacteria with recurrent calcium kidney stone formation and hyperoxaluria: a case‐control study. BJU Int. 2020; 125: 133 ‐ 143.; Milliner D, Hoppe B, Groothoff J. A randomised Phase II/III study to evaluate the efficacy and safety of orally administered Oxalobacter formigenes to treat primary hyperoxaluria. Urolithiasis. 2018; 46: 313 ‐ 323.; Koh A, De Vadder F, Kovatcheva‐Datchary P, Backhed F. From dietary fiber to host physiology: short‐chain fatty acids as key bacterial metabolites. Cell. 2016; 165: 1332 ‐ 1345.; Li L, Ma L, Fu P. Gut microbiota‐derived short‐chain fatty acids and kidney diseases. Drug Des Devel Ther. 2017; 11: 3531 ‐ 3542.; Vaziri ND, Liu S‐M, Lau WL, et al. High amylose resistant starch diet ameliorates oxidative stress, inflammation, and progression of chronic kidney disease. PLoS One. 2014; 9: e114881.; Khan S, Jena G. Sodium butyrate, a HDAC inhibitor ameliorates eNOS, iNOS and TGF‐β1‐induced fibrogenesis, apoptosis and DNA damage in the kidney of juvenile diabetic rats. Food Chem Toxicol. 2014; 73: 127 ‐ 139.; Xiang S, Zhou J, Li J, et al. Antilithic effects of extracts from different polarity fractions of Desmodium styracifolium on experimentally induced urolithiasis in rats. Urolithiasis. 2015; 43: 433 ‐ 439.; Yamamoto K, Ishigami M, Honda T, et al. Influence of proton pump inhibitors on microbiota in chronic liver disease patients. Hep Intl. 2019; 13: 234 ‐ 244.; Oliphant K, Allen‐Vercoe E. Macronutrient metabolism by the human gut microbiome: major fermentation by‐products and their impact on host health. Microbiome. 2019; 7: 91.; Canfora EE, Meex RCR, Venema K, Blaak EE. Gut microbial metabolites in obesity, NAFLD and T2DM. Nat Rev Endocrinol. 2019; 15 ( 5 ): 261 ‐ 273. https://doi.org/10.1038/s41574‐019‐0156‐z; Spiljar M, Merkler D, Trajkovski M. The immune system bridges the gut microbiota with systemic energy homeostasis: focus on TLRs, mucosal barrier, and SCFAs. Front Immunol. 2017; 8: 1353.; Juanola O, Ferrusquía‐Acosta J, García‐Villalba R, et al. Circulating levels of butyrate are inversely related to portal hypertension, endotoxemia, and systemic inflammation in patients with cirrhosis. FASEB J. 2019; 33: 11595 ‐ 11605.; Bultman SJ. Bacterial butyrate prevents atherosclerosis. Nat Microbiol. 2018; 3 ( 12 ): 1332 ‐ 1333. https://doi.org/10.1038/s41564‐018‐0299‐z; Heaney LM, Davies OG, Selby NM. Gut microbial metabolites as mediators of renal disease: do short‐chain fatty acids offer some hope? Future Sci OA. 2019; 5: Fso384.; Lee PC, Lee SY, Chang HN. Succinic acid production by Anaerobiospirillum succiniciproducens ATCC 29305 growing on galactose, galactose/glucose, and galactose/lactose. J Microbiol Biotechnol. 2008; 18: 1792 ‐ 1796.; Louis P, Hold GL, Flint HJ. The gut microbiota, bacterial metabolites and colorectal cancer. Nat Rev Microbiol. 2014; 12: 661 ‐ 672.; Pukall R, Lapidus A, Glavina Del Rio T, et al. Complete genome sequence of Conexibacter woesei type strain (ID131577). Stand Genomic Sci. 2010; 2: 212 ‐ 219.; Nishino K, Nishida A, Inoue R, et al. Analysis of endoscopic brush samples identified mucosa‐associated dysbiosis in inflammatory bowel disease. J Gastroenterol. 2018; 53: 95 ‐ 106.; Moludi J, Alizadeh M, Lotfi Yagin N, et al. New insights on atherosclerosis: a cross‐talk between endocannabinoid systems with gut microbiota. J Cardiovascular Thorac Res. 2018; 10: 129 ‐ 137.; Franco‐de‐Moraes AC, de Almeida‐Pititto B, da Rocha Fernandes G, Gomes EP, da Costa Pereira A, Ferreira SRG. Worse inflammatory profile in omnivores than in vegetarians associates with the gut microbiota composition. Diabetol Metab Syndr. 2017; 9: 62.; Acharya A, Chan Y, Kheur S, et al. Salivary microbiome of an urban Indian cohort and patterns linked to subclinical inflammation. Oral Dis. 2017; 23: 926 ‐ 940.; Kaufman DW, Kelly JP, Curhan GC, et al. Oxalobacter formigenes may reduce the risk of calcium oxalate kidney stones. J Am Soc Nephrol. 2008; 19: 1197 ‐ 1203.; Miller AW, Choy D, Penniston KL, Lange D. Inhibition of urinary stone disease by a multi‐species bacterial network ensures healthy oxalate homeostasis. Kidney Int. 2019; 96: 180 ‐ 188.; Ticinesi A, Milani C, Guerra A, et al. Understanding the gut‐kidney axis in nephrolithiasis: an analysis of the gut microbiota composition and functionality of stone formers. Gut. 2018; 67: 2097 ‐ 2106.; Suryavanshi MV, Bhute SS, Jadhav SD, Bhatia MS, Gune RP, Shouche YS. Hyperoxaluria leads to dysbiosis and drives selective enrichment of oxalate metabolizing bacterial species in recurrent kidney stone endures. Sci Rep. 2016; 6: 34712.; Tang R, Jiang Y, Tan A, et al. 16S rRNA gene sequencing reveals altered composition of gut microbiota in individuals with kidney stones. Urolithiasis. 2018; 46: 503 ‐ 514.; Suryavanshi MV, Bhute SS, Gune RP, Shouche YS. Functional eubacteria species along with trans‐domain gut inhabitants favour dysgenic diversity in oxalate stone disease. Sci Rep. 2018; 8: 16598.
Availability:
https://doi.org/10.1096/fj.202000786R
https://doi.org/10.1038/s41574‐019‐0156‐z
https://doi.org/10.1038/s41564‐018‐0299‐z
https://hdl.handle.net/2027.42/156429
Authors: Lane, Giulia I., Roberts, William W., Mann, Rachel, O’Dell, Diana, Stoffel, John T., Clemens, J. Quentin, Cameron, Anne P.
Subject Terms: neurogenic bladder, spinal cord injury, stones, urolithiasis, endourology, Internal Medicine and Specialties, Health Sciences
File Description: application/pdf
Relation: Lane, Giulia I.; Roberts, William W.; Mann, Rachel; O’Dell, Diana; Stoffel, John T.; Clemens, J. Quentin; Cameron, Anne P. (2019). "Abstract." Neurourology and Urodynamics 38(7): 1901-1906.; https://hdl.handle.net/2027.42/151315; Neurourology and Urodynamics; Ramsey S, McIlhenny C. Evidence‐based management of upper tract urolithiasis in the spinal cord‐injured patient. Spinal Cord. 2011; 49 ( 9 ): 948 ‐ 954.; Creevy CD. The management of neurogenic vesical dysfunction. Am Pract Dig Treat. 1948; 3 ( 2 ): 71 ‐ 74.; Savic G, DeVivo MJ, Frankel HL, Jamous MA, Soni BM, Charlifue S. Causes of death after traumatic spinal cord injury‐a 70‐year British study. Spinal Cord. 2017; 55 ( 10 ): 891 ‐ 897.; Lane GI, Elliott SP. Safely avoiding surgery in adult neurogenic bladder. Curr Bladder Dysfunct Rep. 2018; 13 ( 3 ): 169 ‐ 177.; Shavelle RM, DeVivo MJ, Brooks JC, Strauss DJ, Paculdo DR. Improvements in long‐term survival after spinal cord injury? Arch Phys Med Rehabil. 2015; 96 ( 4 ): 645 ‐ 651.; Morhardt DR, Hadj‐Moussa M, Chang H, et al. Outcomes of ureteroscopic stone treatment in patients with spinal cord injury. Urology. 2018; 116: 41 ‐ 46.; Welk B, Fuller A, Razvi H, Denstedt J. Renal stone disease in spinal‐cord‐injured patients. J Endourol. 2012; 26 ( 8 ): 954 ‐ 959.; Welk B, Shariff S, Ordon M, Catharine Craven B, Herschorn S, Garg AX. The surgical management of upper tract stone disease among spinal cord‐injured patients. Spinal Cord. 2013; 51 ( 6 ): 457 ‐ 460.; Professionals S‐O. Neuro‐urology %7C Uroweb [Internet]. Uroweb. [cited 2019 Mar 9]. Available from: https://uroweb.org/guideline/neuro‐urology/; Consortium for Spinal Cord Medicine. Bladder management for adults with spinal cord injury: a clinical practice guideline for health‐care providers. J Spinal Cord Med. 2006; 29 ( 5 ): 527 ‐ 573.; Professionals S‐O. EAU Guidelines: Urolithiasis %7C Uroweb [Internet]. Uroweb. [cited 2019 Jun 12]. Available from: https://uroweb.org/guideline/urolithiasis/#3_4_10; Kidney Stones: Surgical Management Guideline ‐ American Urological Association [Internet]. [cited 2019 Jun 12]. Available from: https://www.auanet.org/guidelines/kidney‐stones‐surgical‐management‐guideline; Baldea KG, Blackwell RH, Vedachalam S, et al. Outcomes of percutaneous nephrolithotomy in spinal cord injury patients as compared to a matched cohort. Urolithiasis. 2017; 45 ( 5 ): 501 ‐ 506.; Clifton MM, Gettman MT, Patterson DE, Rangel L, Krambeck AE. The change in upper tract urolithiasis composition, surgical treatments and outcomes of para and quadriplegic patients over time. Urolithiasis. 2014; 42 ( 5 ): 415 ‐ 419.; Wolfe T, Klausner AP, Goetz LL, King AB, Hudson T, Gater DR. Ureteroscopy with laser lithotripsy for urolithiasis in the spinal cord injury population. Spinal Cord. 2013; 51 ( 2 ): 156 ‐ 160.; Chen Y, DeVivo MJ, Stover SL, Lloyd LK. Recurrent kidney stone: a 25‐year follow‐up study in persons with spinal cord injury. Urology. 2002; 60 ( 2 ): 228 ‐ 232.; Wang H‐HS, Wiener JS, Ferrandino MN, Lipkin ME, Routh JC. Complications of surgical management of upper tract calculi in spina bifida patients: analysis of nationwide data. J Urol. 2015; 193 ( 4 ): 1270 ‐ 1274.; Dropkin BM, Moses RA, Sharma D, Pais VM Jr. The natural history of nonobstructing asymptomatic renal stones managed with active surveillance. J Urol. 2015; 193 ( 4 ): 1265 ‐ 1269.; Sener NC, Bas O, Sener E, et al. Asymptomatic lower pole small renal stones: shock wave lithotripsy, flexible ureteroscopy, or observation? A prospective randomized trial [Internet]. Urology. 2015; 85: 33 ‐ 37. https://doi.org/10.1016/j.urology.2014.08.023; Bølling Hansen R, Biering‐Sørensen F, Kvist Kristensen J. Urinary calculi following traumatic spinal cord injury. Scand J Urol Nephrol. 2007; 41 ( 2 ): 115 ‐ 119.; Chen Y, DeVivo MJ, Roseman JM. Current trend and risk factors for kidney stones in persons with spinal cord injury: a longitudinal study. Spinal Cord. 2000; 38 ( 6 ): 346 ‐ 353.; Ciaschini MW, Remer EM, Baker ME, Lieber M, Herts BR. Urinary calculi: radiation dose reduction of 50% and 75% at CT—effect on sensitivity. Radiology. 2009; 251 ( 1 ): 105 ‐ 111.
Subject Terms: volcanic rocks, trace‐element analysis, petrographic analysis, building stones, ancient Rome, Classical Studies, Humanities
File Description: application/pdf
Relation: Diffendale, Daniel P.; Marra, Fabrizio; Gaeta, Mario; Terrenato, Nicola (2019). "Combining geochemistry and petrography to provenance Lionato and Lapis Albanus tuffs used in Roman temples at Sant’Omobono, Rome, Italy." Geoarchaeology 34(2): 187-199.; https://hdl.handle.net/2027.42/147813; Geoarchaeology; Marra, F., & D’Ambrosio, E. ( 2013 ). Trace‐element classification diagrams of pyroclastic rocks from the volcanic districts of Central Italy: The case study of the ancient Roman ships of Pisa. Archaeometry, 55 ( 6 ), 993 – 1019. https://doi.org/10.1111/j.1475‐4754.2012.00725.x; Farr, J., Marra, F., & Terrenato, N. ( 2015 ). Geochemical identification criteria for “peperino” stones employed in ancient Roman buildings: A Lapis Gabinus case study. Journal of Archaeological Science: Reports, 3, 41 – 51.; Frank, T. ( 1924 ). Roman Buildings of the Republic: An Attempt to Date Them from Their Materials. Rome: American Academy in Rome.; Freda, C., Gaeta, M., Karner, D. B., Marra, F., Renne, P. R., Taddeucci, J., … Dallai, L. ( 2006 ). Eruptive history and petrologic evolution of the Albano multiple maar (Alban Hills, Central Italy). Bulletin of Volcanology, 68, 567 – 591.; Germinario, L., Hanchar, J. M., Sassi, R., Maritan, L., Cossio, R., Borghi, A., & Mazzoli, C. ( 2018 ). New petrographic and geochemical tracers for recognizing the provenance quarry of trachyte of the Euganean Hills, northeastern Italy. Geoarchaeology, 33, 430 – 452.; Germinario, L., Zara, A., Maritan, L., Bonetto, J., Hanchar, J. M., Sassi, R., … Mazzoli, C. ( 2018 ). Tracking trachyte on the Roman routes: Provenance study of Roman infrastructure and insights into ancient trades in northern Italy. Geoarchaeology, 33, 417 – 429.; Holloway, R. R. ( 1994 ). The archaeology of early Rome and Latium. London‐New York: Routledge; Jackson, M., & Marra, F. ( 2006 ). Roman stone masonry: Volcanic foundations of the ancient city. American Journal of Archaeology, 110, 403 – 436.; Jackson, M. D., Marra, F., Hay, R. L., Cawood, C., & Winkler, E. M. ( 2005 ). The judicious selection and preservation of tuff and travertine building stone in ancient Rome. Archaeometry, 47, 485 – 510.; Karner, D. B., Lombardi, L., Marra, F., Fortini, P., & Renne, P. R. ( 2001 ). Age of ancient monuments by means of building stone provenance: A case study of the tullianum, Rome, Italy. Journal of Archaeological Science, 28, 387 – 393. https://doi.org/10.1006/jasc.2000.0567; Lugli, G. ( 1957 ). La tecnica edilizia romana con particolare riguardo a Roma e Lazio. Rome: Bardi.; Lustrino, M., Duggen, S., & Rosenberg, C. L. ( 2011 ). The central‐western mediterranean: Anomalous igneous activity in an anomalous collisional tectonic setting. Earth‐Science Reviews, 104, 1 – 40.; Marchetti Longhi, G. ( 1932 ). Gli scavi di Largo Argentina. Bullettino della Commissione Archeologica Comunale di Roma, 60, 253 – 346.; Marra, F., D’Ambrosio, E., Gaeta, M., & Mattei, M. ( 2015 ). Petrochemical identification and insights on chronological employment of the volcanic aggregates used in ancient roman mortars. Archaeometry, 58 ( 2 ), 177 – 200. https://doi.org/10.1111/arcm.12154; Marra, F., D’Ambrosio, E., Gaeta, M., & Mattei, M. ( 2018 ). Geochemical fingerprint of Tufo Lionato blocks from the Area Sacra di Largo Argentina: Implications for the chronology of volcanic building stones in ancient Rome. Archaeometry, 60, 641 – 659. https://doi.org/10.1111/arcm.12343; Marra, F., Deocampo, D., Jackson, M. D., & Ventura, G. ( 2011 ). The Alban Hills and Monti Sabatini volcanic products used in ancient Roman masonry (Italy): An integrated stratigraphic, archeological, environmental and geochemical approach. Earth‐Science Reviews, 108, 115 – 136. https://doi.org/10.1016/j.earscirev.2011.06.005; Mercando, L. ( 1966 ). Saggi di scavo sulla platea dei templi gemelli. Bullettino della Commissione Archeologica Comunale di Roma, 79, 34 – 67.; Peccerillo, A. ( 2005 ). Plio‐quaternary volcanism in Italy: Petrology, geochemistry, geodynamics. Berlin: Springer‐Verlag.; Pisani Sartorio, G. ( 1970 ). Area dei Templi della Fortuna e Mater Matuta (Area Sacra di S. Omobono). Unpublished 1:50 scale site plan (S. Omobono, b. 33, 4039–4040), Archivio Sovraintendenza Roma Capitale—Monumenti, Rome, Italy.; Quilici, L. ( 1974 ). Collatia. Rome: De Luca.; Sommella, P. ( 1968 ). Area sacra di S. Omobono. Contributo per una datazione della platea dei templi gemelli. Quaderni dell’Istituto di Topografia Antica della Università di Roma, 5, 63 – 70.; Terrenato, N., Brocato, P., Caruso, G., Ramieri, A. M., Becker, H. W., Cangemi, I., … Regoli, C. ( 2012 ). The S. Omobono Sanctuary in Rome: Assessing eighty years of fieldwork and exploring perspectives for the future. Internet Archaeology, 31. http://intarch.ac.uk/journal/issue31/terrenato_index.html; Torelli, M. ( 1968 ). Il donario di M. Fulvio Flacco nell’area di S. Omobono. Quaderni dell’Istituto di Topografia Antica della Università di Roma, 5, 71 – 76.; Blake, M. E. ( 1947 ). Ancient Roman construction in Italy from the prehistoric period to Augustus. Washington, D.C.: Carnegie Institution; Brock, A. L. ( 2017 ). Floodplain occupation and landscape modification in early Rome. Quaternary International, 460, 167 – 174. https://doi.org/10.1016/j.quaint.2016.05.026; Brock, A. L., & Terrenato, N. ( 2016 ). Rome in the Bronze Age: Late second‐millennium BC radiocarbon dates from the Forum Boarium. Antiquity, 90, 654 – 664. https://doi.org/10.15184/aqy.2016.65; Coarelli, F. ( 1981 ). Topografia e Storia. In Kajanto, I., Nyberg, U., & Steinby, M. (Eds.), L’area sacra di Largo Argentina ( pp. 9 – 51 ). Rome: Tipografia Poliglotta Vaticana; Coarelli, F. ( 1988 ). Il Foro Boario: dalle origini alla fine della Repubblica. Rome: Quasar; Colini, A. M. ( 1938 ). Zona dei Fori Olitorio e Boario. Bullettino della Commissione Archeologica Comunale di Roma, 66, 279 – 282.; Colini, A. M. ( 1962 ). Introduzione allo studio dell’area sacra di S. Omobono. Bullettino della Commissione Archeologica Comunale di Roma, 72, 3 – 6.; D’Ambrosio, E., Marra, F., Cavallo, A., Gaeta, M., & Ventura, G. ( 2015 ). Provenance materials for Vitruvius’ harenae fossiciae and pulvis puteolanis: Geochemical signature and historical‐archaeological implications. Journal of Archaeological Science: Reports, 2, 186 – 203.; Diffendale, D. P., Brocato, P., Terrenato, N., & Brock, A. L. ( 2016 ). Sant’Omobono: An interim status quaestionis. Journal of Roman Archaeology, 29, 7 – 42. https://doi.org/10.1017/S1047759400072032; Diffendale, D. P. ( 2016 ). On the supposed building program of M. Fulvius Flaccus. In Brocato, P., Ceci, M., & Terrenato, N. (Eds.), Ricerche nell’area dei templi di Fortuna e Mater Matuta. I ( pp. 141 – 166 ). Arcavacata di Rende: Università della Calabria
Authors: Pazan, Kyra
Contributors: Stewart, Brian A, Levin, Naomi, Garvey, Raven, Wolpoff, Milford H
Subject Terms: Later Stone Age, Middle Stone Age, Lesotho, Last Glacial Maximum, Hunter-gatherers, lithic technology, Ecology and Evolutionary Biology, African Studies, Anthropology and Archaeology, Science, Social Sciences
File Description: application/pdf
Relation: https://hdl.handle.net/2027.42/172689; https://dx.doi.org/10.7302/4718; orcid:0000-0002-2397-9413; Pazan, Kyra; 0000-0002-2397-9413
Authors: Affeldt, Christopher, Leung, Austin, Yang, Ke
Contributors: Xu, Ming, na, na
Subject Terms: LCA, product labels, Stone Paper
File Description: application/pdf
Relation: 299; https://hdl.handle.net/2027.42/117675; caffeldt; askleung; keyang
Availability: https://hdl.handle.net/2027.42/117675
Authors: Pierre, Richard Lee
Contributors: Weineck, Silke-Maria, Gailus, Andreas, Levinson, Marjorie, Khagi, Sofya
Subject Terms: Poetics, Lyric Studies, German Literature, Russian Literature, Stone, Lyric Subjectivity, General and Comparative Literature, Germanic Languages and Literature, Slavic Languages and Literature, Humanities
File Description: application/pdf
Relation: https://hdl.handle.net/2027.42/113578
Availability: https://hdl.handle.net/2027.42/113578
Authors: Farr, Jason Michael
Contributors: Terrenato, Nicola, Gazda, Elaine K., Potter, David S., Ratte, Christopher John
Subject Terms: Ancient Stone Quarries, Roman Construction Industry, Tufo/Tuff, Gabii, Classical Studies, History (General), Anthropology and Archaeology, Humanities, Social Sciences
File Description: application/pdf
Relation: https://hdl.handle.net/2027.42/108799
Availability: https://hdl.handle.net/2027.42/108799
Authors: Van Zandt, Tineke Renee
Contributors: Speth, John D.
Subject Terms: Anasazi, Architecture, Bandelier National Monument, New Mexico, Pueblos, Shaping, Site Layout, Stones
File Description: 403 p.; application/pdf
Relation: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:3208562; https://hdl.handle.net/2027.42/125768
Authors: Silverschanz, Peregrine C.
Contributors: Cortina, Lilia M., Gutierrez, Lorraine M.
Subject Terms: Academic, Achievement, Bisexual, Consequences, Gay, Harassment, Heterosexist, Institutional Climate, Jokes, Lesbian, Psychosocial, Queer, Sexual Orientation, Sticks, Stones
File Description: 131 p.; application/pdf
Relation: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:3224748; https://hdl.handle.net/2027.42/125886
Authors: Adler, Michael Allan
Contributors: Speth, John D., Ford, Richard I.
Subject Terms: Aggregation, Anasazi, Archaeological, Colorado, Communities, Investiga, Investigation, Mesa, Population, Region, Soil, Stone, Verde
File Description: 455 p.; application/pdf
Relation: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:9116107; https://hdl.handle.net/2027.42/128619
Authors: Clark, Jamie L.
Contributors: Speth, John D., Fisher, Daniel C., Whallon, Jr., Robert E., Wolpoff, Milford H.
Subject Terms: Middle Stone Age, Zooarchaeology, Sibudu Cave, Modern Behavior, Anthropology and Archaeology, Social Sciences
File Description: 18123259 bytes; 1373 bytes; application/pdf; text/plain
Relation: http://hdl.handle.net/2027.42/62380
Availability: http://hdl.handle.net/2027.42/62380
Authors: Khadija, Muhammad
Contributors: Herbert, Sharon C, Wright, Henry T, Alcock, Susan E, O'Shea, John M
Subject Terms: Petra, Jordanian Archaeology, Nabateaens, Stone Carving, quarries, Anthropology and Archaeology, Social Sciences
File Description: application/pdf
Relation: https://hdl.handle.net/2027.42/147559
Availability: https://hdl.handle.net/2027.42/147559
Contributors: Biological Station, University of Michigan (UMBS), Ann Arbor
Subject Terms: Natural Resources and Environment, Science
Subject Geographic:
Wilderness State Park, Sturgeon Bay Dunes, Mount Nebo, Bliss Township Park,
Time: Waugoshance Point, Bliss Township Park, Bigt Stone Bay
File Description: application/pdf
Relation: Table of Numbers; https://hdl.handle.net/2027.42/110300
Availability: https://hdl.handle.net/2027.42/110300
Authors: Neuman, Nick
Contributors: Biological Station, University of Michigan (UMBS), Ann Arbor
Subject Terms: Dunes, Natural Resources and Environment, Science
Subject Geographic: Wilderness State Park, Sturgeon Bay Dunes, Big Stone Bay Creek, Mount Nebo
Time: Waugoshance Point, Big Stone Bay Creek
File Description: application/pdf
Relation: Graph; Table of Numbers; https://hdl.handle.net/2027.42/89586
Availability: https://hdl.handle.net/2027.42/89586
Authors: Weiler, Bethany
Contributors: Biological Station, University of Michigan (UMBS), Ann Arbor
Subject Terms: Dunes, Natural Resources and Environment, Science
Subject Geographic: Wilderness State Park, Big Stone Bay Creek, Sturgeon Bay Dunes, Mount Nebo
Time: Waugoshance Point, Big Stone Bay Creek
File Description: application/pdf
Relation: Graph; Table of Numbers; http://hdl.handle.net/2027.42/89587
Availability: http://hdl.handle.net/2027.42/89587
Authors: Quach, Vu
Contributors: Biological Station, University of Michigan (UMBS), Ann Arbor
Subject Terms: Dunes, Natural Resources and Environment, Science
Subject Geographic: Wilderness State Park, Mount Nebo, Big Stone Bay Creek, Sturgeon Bay Dunes
Time: Waugoshance Point, Big Stone Bay Creek
File Description: application/pdf
Relation: Graph; Table of Numbers; http://hdl.handle.net/2027.42/89420
Availability: http://hdl.handle.net/2027.42/89420
Authors: Wilcox, Rebecca
Contributors: Biological Station, University of Michigan, Ann Arbor
Subject Terms: Boreal Flora, Dune and Swale Complex, LIFE, HISTORY, LITHOSPERMUM, REPRODUCTIVE, SUCCESS, SEED, PRODUCTION, Natural Resource and Environment, Science
Subject Geographic: Wilderness State Park, Big Stone Bay, Trails End Bay, Sturgeon Bay Dunes
Time: Big Stone Bay
File Description: 280238 bytes; 3144 bytes; application/pdf; text/plain
Relation: Diagram or Illustration; Table of Numbers; https://hdl.handle.net/2027.42/53122
Availability: https://hdl.handle.net/2027.42/53122
Authors: Hacker, Beth
Contributors: Biological Station, University of Michigan, Ann Arbor
Subject Terms: Zooplankton Ecology, SPECIES, ZOOPLANKTON, COMPOSITION, STREAMS, DIPTERA, ROTIFERS, INVERTEBRATES, COPEPODS, OSTRACODS, CLADOCERANS, CRUSTACEANS, Natural Resource and Environment, Science
Subject Geographic: Big Stone Bay Creek, Wilderness State Park
Time: Big Stone Bay Creek
File Description: 1466364 bytes; 3144 bytes; application/pdf; text/plain
Relation: Diagram or Illustration; Graph; Map; Table of Numbers; http://hdl.handle.net/2027.42/52991
Availability: http://hdl.handle.net/2027.42/52991