cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/ceb96ac6858f54850c2fa474be5ecb09
title: Carbon quality regulates the temperature dependence of aquatic ecosystem respiration

description: Lakes are undergoing a variety of changes that may alter their role in the global carbon cycle. Lake temperatures are increasing at the same time that lakes in many regions are experiencing long-term increases in dissolved organic carbon (DOC) concentrations. The balance between rates of ecosystem respiration (ER) and gross primary production (GPP) is an important determinant of CO2 outgassing from lakes and thus it is important to understand factors regulating ER rates in these systems. Temperature is known to regulate rates of ER, but other factors have the potential to modulate this relationship. One such regulator may be the quality of the dissolved organic matter (DOM) in the system. Theory suggests that ER may increase more with temperature in lakes dominated by allochthonous, refractory material than in systems dominated by more autochthonous DOM. To test this theory, we conducted a mesocosm study where half of the mesocosms received water from a naturally occurring autochthonous DOM source and the other half from an allochthonous DOM source. We monitored water temperature and dissolved oxygen concentrations in each mesocosm using in-situ high frequency DO sensors. After 27 days we used this data to calculate daily ER for each mesocosm. We then related daily ER to mean nighttime temperature and tested whether the relationship was different in the two DOM treatments. Treatments dominated by allochthonous DOM had a greater temperature dependence of respiration than those dominated by autochthonous DOM. These results suggest that as lake temperatures continue to increase, ER will increase more in lakes dominated by allochthonous DOM than those dominated by autochthonous DOM.
DOI: 10.5517/ccdc.csd.cc21bzhw
title: CCDC 1887388: Experimental Crystal Structure Determination

description: Related Article: Narumasa Saito, Jun Takaya, Nobuharu Iwasawa|2019|Angew.Chem.,Int.Ed.|58|9998|doi:10.1002/anie.201904968
description: Related Article: Tuhin Ganguly, Ayan Das, Amit Majumdar|2019|Inorg.Chem.|58|9998|doi:10.1021/acs.inorgchem.9b01144
DOI: 10.25505/fiz.icsd.cc21fb94
title: CSD 1889645: Experimental Crystal Structure Determination

description: Related Article: Xia-Yan Tang, Jin-Xiao Mi, Rong-Chuan Zhuang, Shuai-Hua Wang, Shao-Fan Wu, Yuanming Pan, Ya-Xi Huang|2019|Inorg.Chem.|58|4508|doi:10.1021/acs.inorgchem.9b00073
DOI: 10.25505/fiz.icsd.cc21ff64
title: CSD 1889735: Experimental Crystal Structure Determination

description: Related Article: Sergei I. Ivlev,  Konstantin Gaul,  Mengyi Chen,  Antti J. Karttunen,  Robert Berger,  Florian Kraus|2019|Chem.-Eur.J.|25|5793|doi:10.1002/chem.201900442
DOI: 10.25505/fiz.icsd.cc21ff75
title: CSD 1889736: Experimental Crystal Structure Determination

description: Related Article: Sergei I. Ivlev,  Konstantin Gaul,  Mengyi Chen,  Antti J. Karttunen,  Robert Berger,  Florian Kraus|2019|Chem.-Eur.J.|25|5793|doi:10.1002/chem.201900442
DOI: 10.15468/nuuf2s
title: Agonopterix flurii sp. nov. aus dem Wallis, Schweiz (Lepidoptera, Depressariidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Sonderegger, Peter (2013): Agonopterix flurii sp. nov. aus dem Wallis, Schweiz (Lepidoptera, Depressariidae). Contributions to Natural History 21: 1-14, DOI: 10.5169/seals-786945
DOI: 10.25505/fiz.icsd.cc21frw4
title: CSD 1890066: Experimental Crystal Structure Determination

description: Related Article: V. Kahlenberg|2019|Acta Crystallogr.,Sect.E:Cryst.Commun.|75|214|doi:10.1107/S2056989019000574
DOI: 10.25505/fiz.icsd.cc21ftfr
title: CSD 1890114: Experimental Crystal Structure Determination

description: Related Article: Mudithangani T.K. Kolambage, Colin D. McMillen, Michael A. McGuire, Liurukara D. Sanjeewa, Kimberly Ivey, Yimei Wen, George Chumanov, Joseph W. Kolis|2019|J.Solid State Chem.|275|149|doi:10.1016/j.jssc.2019.03.008
DOI: 10.25505/fiz.icsd.cc21ftgs
title: CSD 1890115: Experimental Crystal Structure Determination

description: Related Article: Mudithangani T.K. Kolambage, Colin D. McMillen, Michael A. McGuire, Liurukara D. Sanjeewa, Kimberly Ivey, Yimei Wen, George Chumanov, Joseph W. Kolis|2019|J.Solid State Chem.|275|149|doi:10.1016/j.jssc.2019.03.008
DOI: 10.25505/fiz.icsd.cc21ftht
title: CSD 1890116: Experimental Crystal Structure Determination

description: Related Article: Mudithangani T.K. Kolambage, Colin D. McMillen, Michael A. McGuire, Liurukara D. Sanjeewa, Kimberly Ivey, Yimei Wen, George Chumanov, Joseph W. Kolis|2019|J.Solid State Chem.|275|149|doi:10.1016/j.jssc.2019.03.008
DOI: 10.25505/fiz.icsd.cc21ftjv
title: CSD 1890117: Experimental Crystal Structure Determination

description: Related Article: Mudithangani T.K. Kolambage, Colin D. McMillen, Michael A. McGuire, Liurukara D. Sanjeewa, Kimberly Ivey, Yimei Wen, George Chumanov, Joseph W. Kolis|2019|J.Solid State Chem.|275|149|doi:10.1016/j.jssc.2019.03.008
DOI: 10.25505/fiz.icsd.cc21vy40
title: CSD 1902722: Experimental Crystal Structure Determination

description: Related Article: S. Nesterenko, V. Avzuragova, A. Tursina, A. M. Strydom|2019|J.Alloys Compd.|792|1061|doi:10.1016/j.jallcom.2019.04.026
DOI: 10.25505/fiz.icsd.cc21vy51
title: CSD 1902723: Experimental Crystal Structure Determination

description: Related Article: S. Nesterenko, V. Avzuragova, A. Tursina, A. M. Strydom|2019|J.Alloys Compd.|792|1061|doi:10.1016/j.jallcom.2019.04.026
DOI: 10.5517/ccdc.csd.cc21gh34
title: CCDC 1890755: Experimental Crystal Structure Determination

description: Related Article: Florian Modicom, Ellen M. G. Jamieson, Elise Rochette, Stephen M. Goldup|2019|Angew.Chem.,Int.Ed.|58|3875|doi:10.1002/anie.201813950
DOI: 10.5517/ccdc.csd.cc21gh45
title: CCDC 1890756: Experimental Crystal Structure Determination

description: Related Article: Florian Modicom, Ellen M. G. Jamieson, Elise Rochette, Stephen M. Goldup|2019|Angew.Chem.,Int.Ed.|58|3875|doi:10.1002/anie.201813950
DOI: 10.5517/ccdc.csd.cc21gh56
title: CCDC 1890757: Experimental Crystal Structure Determination

description: Related Article: Florian Modicom, Ellen M. G. Jamieson, Elise Rochette, Stephen M. Goldup|2019|Angew.Chem.,Int.Ed.|58|3875|doi:10.1002/anie.201813950
DOI: 10.5517/ccdc.csd.cc21gh67
title: CCDC 1890758: Experimental Crystal Structure Determination

description: Related Article: Florian Modicom, Ellen M. G. Jamieson, Elise Rochette, Stephen M. Goldup|2019|Angew.Chem.,Int.Ed.|58|3875|doi:10.1002/anie.201813950
DOI: 10.25505/fiz.icsd.cc21gn39
title: CSD 1890910: Experimental Crystal Structure Determination

description: Related Article: Yong-Fang Shi, Xiao-Fang Li, Yu-Xiao Zhang, Hua Lin, Zuju Ma, Li-Ming Wu, Xin-Tao Wu, Qi-Long Zhu|2019|Inorg.Chem.|58|6588|doi:10.1021/acs.inorgchem.9b00653
DOI: 10.25505/fiz.icsd.cc21gx0g
title: CSD 1891155: Experimental Crystal Structure Determination

description: Related Article: Vladislav V. Klepov, Logan S. Breton, Kristen A. Pace, Vancho Kocevski, Theodore M. Besmann, Hans-Conrad zur Loye|2019|Inorg.Chem.|58|6565|doi:10.1021/acs.inorgchem.9b00806
DOI: 10.25505/fiz.icsd.cc21gx1h
title: CSD 1891156: Experimental Crystal Structure Determination

description: Related Article: Vladislav V. Klepov, Logan S. Breton, Kristen A. Pace, Vancho Kocevski, Theodore M. Besmann, Hans-Conrad zur Loye|2019|Inorg.Chem.|58|6565|doi:10.1021/acs.inorgchem.9b00806
DOI: 10.25505/fiz.icsd.cc21gx2j
title: CSD 1891157: Experimental Crystal Structure Determination

description: Related Article: Vladislav V. Klepov, Logan S. Breton, Kristen A. Pace, Vancho Kocevski, Theodore M. Besmann, Hans-Conrad zur Loye|2019|Inorg.Chem.|58|6565|doi:10.1021/acs.inorgchem.9b00806
DOI: 10.25505/fiz.icsd.cc21gx3k
title: CSD 1891158: Experimental Crystal Structure Determination

description: Related Article: Vladislav V. Klepov, Logan S. Breton, Kristen A. Pace, Vancho Kocevski, Theodore M. Besmann, Hans-Conrad zur Loye|2019|Inorg.Chem.|58|6565|doi:10.1021/acs.inorgchem.9b00806
DOI: 10.25505/fiz.icsd.cc21gx4l
title: CSD 1891159: Experimental Crystal Structure Determination

description: Related Article: Vladislav V. Klepov, Logan S. Breton, Kristen A. Pace, Vancho Kocevski, Theodore M. Besmann, Hans-Conrad zur Loye|2019|Inorg.Chem.|58|6565|doi:10.1021/acs.inorgchem.9b00806
DOI: 10.25505/fiz.icsd.cc21gx5m
title: CSD 1891160: Experimental Crystal Structure Determination

description: Related Article: Vladislav V. Klepov, Logan S. Breton, Kristen A. Pace, Vancho Kocevski, Theodore M. Besmann, Hans-Conrad zur Loye|2019|Inorg.Chem.|58|6565|doi:10.1021/acs.inorgchem.9b00806
DOI: 10.25505/fiz.icsd.cc21gx6n
title: CSD 1891161: Experimental Crystal Structure Determination

description: Related Article: Vladislav V. Klepov, Logan S. Breton, Kristen A. Pace, Vancho Kocevski, Theodore M. Besmann, Hans-Conrad zur Loye|2019|Inorg.Chem.|58|6565|doi:10.1021/acs.inorgchem.9b00806
DOI: 10.25505/fiz.icsd.cc21gx7p
title: CSD 1891162: Experimental Crystal Structure Determination

description: Related Article: Vladislav V. Klepov, Logan S. Breton, Kristen A. Pace, Vancho Kocevski, Theodore M. Besmann, Hans-Conrad zur Loye|2019|Inorg.Chem.|58|6565|doi:10.1021/acs.inorgchem.9b00806
DOI: 10.25505/fiz.icsd.cc21gx8q
title: CSD 1891163: Experimental Crystal Structure Determination

description: Related Article: Vladislav V. Klepov, Logan S. Breton, Kristen A. Pace, Vancho Kocevski, Theodore M. Besmann, Hans-Conrad zur Loye|2019|Inorg.Chem.|58|6565|doi:10.1021/acs.inorgchem.9b00806
DOI: 10.25505/fiz.icsd.cc21gx9r
title: CSD 1891164: Experimental Crystal Structure Determination

description: Related Article: Vladislav V. Klepov, Logan S. Breton, Kristen A. Pace, Vancho Kocevski, Theodore M. Besmann, Hans-Conrad zur Loye|2019|Inorg.Chem.|58|6565|doi:10.1021/acs.inorgchem.9b00806
DOI: 10.25505/fiz.icsd.cc21gxbs
title: CSD 1891165: Experimental Crystal Structure Determination

description: Related Article: Vladislav V. Klepov, Logan S. Breton, Kristen A. Pace, Vancho Kocevski, Theodore M. Besmann, Hans-Conrad zur Loye|2019|Inorg.Chem.|58|6565|doi:10.1021/acs.inorgchem.9b00806
DOI: 10.25505/fiz.icsd.cc21gxct
title: CSD 1891166: Experimental Crystal Structure Determination

description: Related Article: Vladislav V. Klepov, Logan S. Breton, Kristen A. Pace, Vancho Kocevski, Theodore M. Besmann, Hans-Conrad zur Loye|2019|Inorg.Chem.|58|6565|doi:10.1021/acs.inorgchem.9b00806
DOI: 10.25505/fiz.icsd.cc21gztb
title: CSD 1891242: Experimental Crystal Structure Determination

description: Related Article: Hiroaki Ito, Akira Miura, Yosuke Goto, Yoshikazu Mizuguchi, Chikako Moriyoshi, Yoshihiro Kuroiwa, Masaki Azuma, Jinjia Liu, Xiao-Dong Wen, Shunta Nishioka, Kazuhiko Maeda, Yuji Masubuchi, Nataly Carolina Rosero-Navarro, Kiyoharu Tadanaga|2019|Dalton Trans.|48|12272|doi:10.1039/C9DT01562K
DOI: 10.25505/fiz.icsd.cc21gzvc
title: CSD 1891243: Experimental Crystal Structure Determination

description: Related Article: Hiroaki Ito, Akira Miura, Yosuke Goto, Yoshikazu Mizuguchi, Chikako Moriyoshi, Yoshihiro Kuroiwa, Masaki Azuma, Jinjia Liu, Xiao-Dong Wen, Shunta Nishioka, Kazuhiko Maeda, Yuji Masubuchi, Nataly Carolina Rosero-Navarro, Kiyoharu Tadanaga|2019|Dalton Trans.|48|12272|doi:10.1039/C9DT01562K
DOI: 10.6073/pasta/1af376985d83cd7e01c61b67abfa9f91
title: Eight Mile Lake Research Watershed, Carbon in Permafrost Experimental Heating Research (CiPEHR): Aboveground plant biomass, 2009-2017.

description: The Carbon in Permafrost Experimental Heating Research (CiPEHR) project addresses the following questions: 1) Does ecosystem warming cause a net release of C from the ecosystem to the atmosphere?, 2) Does the decomposition of old C that comprises the bulk of the soil C pool influence ecosystem C loss?, and 3) How do winter and summer warming alone, and in combination, affect ecosystem C exchange? We are answering these questions using a combination of field and laboratory experiments to measure ecosystem carbon balance and radiocarbon isotope ratios at a warming experiment located in an upland tundra field site near Healy, Alaska in the foothills of the Alaska Range. This data set includes aboveground plant biomass from winter warming, summer warming, and control treatment plots at CiPEHR.
DOI: 10.6073/pasta/7e6f56dfe5b6d1d6545a24c3bdd9505e
title: ITEX circumarctic CO2 flux survey data from Toolik, Alaska; Abisko, Sweden; Svalbard, Norway; Zackenberg, Northeast Greenland; Anaktuvuk River Burn, Alaska and Barrow, Alaska 2003-2009.

description: Ecosystem CO2 flux light response curves were measured on 1m x 1m plots across the arctic. This file contains the CO2 and H2O flux measurements and NDVI data for each plot. Survey plots were located in the Toolik Lake LTER fertilization experiment in Alaska; at Imnavait Creek, Alaska; at Paddus, Latnjajaure and the Stepps site near Abisko in northern Sweden; at various sites in Adventdalen, Svalbard; in the Zackenberg valley, Northeast Greenland; at BEO near Barrow, Alaska and at the Anaktuvuk River Burn in Alaska. Measurements were made during the growing seasons 2003 to 2009.
DOI: 10.6073/pasta/d834e12ff12dc23d9319fa9f73e40306
title: Raw count data from repeated surveys of a guild of Plethodon salamanders in an old-growth forest in southeastern Kentucky 2016, with GIS and in situ environmental data

description: Woodland salamanders are among the most abundant vertebrate animals in temperate deciduous forests of eastern North America. Because of their abundance, woodland salamanders are responsible for the transformation of nutrients and translocation of energy between highly disparate levels of trophic organization: detrital food webs and high-order predators. However, the spatial extent of woodland salamanders’ role in the ecosystem is likely contingent upon the distribution of their biomass throughout the forest. We sought to determine if natural environmental gradients influence the fine-scale distribution and density of Southern Ravine Salamanders (Plethodon richmondi) and Cumberland Plateau Salamanders (P. kentucki). We addressed this objective by constructing occupancy, co-occurrence, and abundance models from temporally-replicated surveys within an old-growth forest in the Cumberland Plateau region of Kentucky occurring in the Fall of 2016. We found that Plethodon richmondi had a more restricted fine-scale distribution than P. kentucki (mean occupancy probability = 0.737) and exhibited variable density, from less than 250 to greater than 1000 individuals per hectare, associated with increased soil moisture and reduced solar exposure due to slope face. While more ubiquitously distributed (mean occupancy probability = 0.95), P. kentucki density varied from less than 400 to greater than 1000 individuals per hectare and was inversely related to increased solar exposure from canopy disturbance and landscape convexity. Our data suggest co-occurrence patterns of P. richmondi and P. kentucki are influenced primarily by abiotic conditions within the forest, and that populations likely occur independently and without evidence of biotic interaction. Given the critical role that woodland salamanders play in the maintenance of forest health, regions that support large populations of woodland salamanders, such as those highlighted in this study—mesic forest stands on north-to-east facing slopes with dense canopy and abundant natural cover, may provide enhanced ecosystem services and support the stability of the total forest.
DOI: 10.15468/n9t7c6
title: A new species of Philibertia (Apocynaceae) from Bolivia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Keller, Héctor A., Goyder, David J. (2021): A new species of Philibertia (Apocynaceae) from Bolivia. Darwiniana, nueva serie 9 (2): 293-298, DOI: 10.14522/darwiniana.2021.92.963, URL: http://dx.doi.org/10.14522/darwiniana.2021.92.963
DOI: 10.6073/pasta/4e479018aa3d23603736bb5849f9a200
title: LAGOS-NE – Lake nutrient chemistry and geospatial data to measure spatial structure of ecosystem properties in a 17-state region of the U.S.

description: This dataset includes data for the lake water quality and geospatial variables that describe climate, hydrology, land use land cover, and lake characteristics that were used to study spatial structure in lake properties at the sub-continental scales (Lapierre et al. Quantifying spatial structure to improve understanding of the relationships between climate, landscape, and lake ecosystem properties, to be submitted to Ecology). All observations came from LAGOS-NELIMNO v. 1.054.1 and LAGOS-NEGEO v. 1.03 (LAke multi-scaled GeOSpatial and temporal database), an integrated database of lake ecosystems (Soranno et al. 2015). LAGOS-NE contains a complete census of lakes great than or equal to 4 ha with corresponding geospatial information for a 17-state region of the U.S., and a subset of the lakes has observational data on morphometry and chemistry. Approximately 54 different sources of data were compiled for the LAGOS-NELIMNO v. 1.054.1 dataset and were mostly generated by government agencies (state, federal, tribal) and universities. In this analysis, we compiled lake water quality data from the summer stratified season (June 15-September 15) in the most recent 10 years of data included in LAGOS-NELIMNO v. 1.054.1 (2002-2011). We report the median total nitrogen, total phosphorus, secchi depth, and chlorophyll values for each lake, which was calculated as the grand median of each yearly median value. We also include data for lake and landscape characteristics including variables related to lake morphometry, climate, hydrology, atmospheric deposition, land use and land cover.
DOI: 10.6073/pasta/223084742a0cbfeb33b29dd57a679eeb
title: Response of Lake Baikal periphyton to nutrient enrichment at 10 sites across a land use gradient: Results from a nutrient diffusing substrata (NDS) experiment

description: This data set contains results of a study on the response of benthic algae to experimental nutrient enrichment in the nearshore of Lake Baikal, Russia. Nutrient diffusing substrata (NDS) were deployed at 10 sites across a land-use gradient (from town to forested) during August to September of 2015 . Four NDS treatments were used at each site: 'control', 'added phosphorus', 'added nitrogen' and 'added nitrogen and phosphorus'. NDS tiles were left in the lake for 32-33 days. After retrieval, benthic chlorophyll a levels from all sites were analyzed as an index of periphyton biomass (data in file periphyton_chl_a.csv). Taxonomic identification of algae was done at 4 of the 10 sites (2 developed, 2 undeveloped); cell counts are presented in file 'periphyton_abundance.csv'; biovolumes were determined for the most common taxa and are presented in file 'periphyton_biovolume.csv'.
DOI: 10.18112/openneuro.ds003989.v1.0.0
title: Structural, diffusion and rs-functional MRI data in Macaque Monkeys
DOI: 10.6073/pasta/6ab26c6ead42552a1d4f0261e8dac9bc
title: Data for McGill et.al. 2018. The greenhouse gas cost of agricultural intensification with groundwater irrigation in a Midwest US row cropping system. at the Kellogg Biological Station, Hickory Corners, MI (2013 to 2017)

description: Dataset Abstract Data for Data for McGill et.al. 2018. The greenhouse gas cost of agricultural intensification with groundwater irrigation in a Midwest US row cropping system. original data source http://lter.kbs.msu.edu/datasets/176
DOI: 10.15468/xxvmar
title: Four new species of Hydnellum (Thelephorales, Basidiomycota) with a note on Sarcodon illudens

description: This dataset contains the digitized treatments in Plazi based on the original journal article Nitare, J., Ainsworth, A. M., Larsson, E., Parfitt, D., Suz, L. M., Svantesson, S., Larsson, K. - H. (2021): Four new species of Hydnellum (Thelephorales, Basidiomycota) with a note on Sarcodon illudens. Fungal Systematics and Evolution 7 (1): 233-254, DOI: 10.3114/fuse.2021.07.12, URL: http://dx.doi.org/10.3114/fuse.2021.07.12
DOI: 10.6073/pasta/50627a6eb69afce74859b8349d9f8dc4
title: Daily averaged weather timeseries (air temperature, pressure, wind speed, wind direction, precipitation, sky cover) at Palmer Station, Antarctica combining manual observations (1989 - Dec 12, 2003) and PALMOS automatic weather station measurements (Dec 13, 2003 - present).

description: Weather data acquisition was originally by manual observation and continued with an automated system installed in Nov 2001. Measurements began shifting from manual to automated observations in June 2003 until the manual observations were ended on December 12, 2003. Data are collected, compiled, and distributed by the US Antarctic polar contractor. Electronic distributed occurs monthly from Palmer station via internet and are available at University of Wisconsin weather archive: ftp://amrc.ssec.wisc.edu/pub/palmer/climatology/
DOI: 10.5441/001/1.kq7t609j/3
title: Distribution of spectacled eiders in Russia and Alaska 1993-1996 (data from Petersen et al. 1999)-raw-argos-diag

description: Petersen MR, Larned WW, Douglas DC (1999) At-sea distribution of spectacled eiders: a 120-year-old mystery resolved. The Auk 116(4): 1009–1020. doi:10.2307/4089681
description: The at-sea distribution of the threatened Spectacled Eider (Somateria fischeri) has remained largely undocumented. We identified migration corridors, staging and molting areas, and wintering areas of adult Spectacled Eiders using implanted satellite transmitters in birds from each of the three extant breeding grounds (North Slope and Yukon-Kuskokwim Delta in Alaska and arctic Russia). Based on transmitter locations, we conducted aerial surveys to provide visual confirmation of eider flocks and to estimate numbers of birds. We identified two principal molting and staging areas off coastal Alaska (Ledyard Bay and eastern Norton Sound) and two off coastal Russia (Mechigmenskiy Bay on the eastern Chukotka Peninsula, and the area between the Indigirka and Kolyma deltas in the Republic of Sakha). We estimated that &gt;10,000 birds molt and stage in monospecific flocks at Mechigmenskiy and Ledyard bays, and several thousand molt and stage in eastern Norton Sound. We further identified eastern Norton Sound as the principal molting and staging area for females nesting on the Yukon-Kuskokwim Delta, and Ledyard Bay and Mechigmenskiy Bay as the principal molting and staging areas for females nesting on the North Slope. Males marked at all three breeding grounds molt and stage in Mechigmenskiy Bay, Ledyard Bay, and the Indigirka-Kolyma delta region. Males from the Yukon-Kuskokwim Delta molt and stage mainly at Mechigmenskiy Bay. Equal numbers of males from the North Slope molt and stage at all three areas, and most males from arctic Russia molt and stage at the Indigirka-Kolyma delta region. Postbreeding migration corridors were offshore in the Bering, Chukchi, and Beaufort seas. In winter, eiders were in the Bering Sea south of St. Lawrence Island. Our estimates from surveys in late winter and early spring suggest that at least 333,000 birds winter in single-species flocks in the pack ice in the Bering Sea.