cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a2m32n95v
title: Floatplane pilots' destination choices: a panel dataset, Alaska, 2015

description: This dataset was used for an economic valuation of ecosystem services affected by biological invasions of waterbodies in Alaska--the recreational damages by Alaska’s first known aquatic invasive species, Elodea spp (elodea). A survey with floatplane certified pilots residing in Alaska, asked pilots about the extent of continued flights to their 2015 destinations should these become invaded by elodea. The dataset is a panel dataset such as used in recreation demand models and compiled from multiple data sources: 1) survey with floatplane pilots that asked about flight patterns (destinations and frequency of flights) for a) the 2015 floatplane season, and b) a hypothetical scenario in which flight destinations are affected by an aquatic invasive plant creating flight safety hazards. The resulting panel dataset therefore shows the pre-invasion actual flight information combined with information on post-invasion contingent behavior as stated by respondents (Englin and Cameron, 1996; Hynes and Greene, 2013). Each respondent’s individual destinations were grouped into eight destination regions encompassing large watersheds (HUCs) defined by the National Hydrographic Dataset (NHD) (USGS, 2017). A no-fly destination alternative was included to account for the difference between pre- and post-invasion flight activity across all destination alternatives. A binary choice variable indicated to which region the pilot flew. Summarizing, the panel for each respondent includes nine rows (pre-invasion) for 8 destination alternatives as reported for 2015 and one no-fly alternative (for pre-invasion), and nine rows (8 destination regions and 1 no-fly) for post-invasion. A weight variable is used to scale up flight frequencies to each destination region for the entire population of floatplane pilots residing in Alaska. 2) The destination regions closely align with watershed boundaries of smaller scale game management units (GMU) for which data on hunting quality is available from the Alaska Department of Fish and Game. Hunting quality was assessed by calculating species-specific ratios of the reported number of animals killed to the reported number of hunters within a GMU. We calculate a kill per hunter ratios in order to capture both the recreation outcome and effort similar to catch per unit effort used in fisheries. It serves as an indirect measure for the abundance of target species (Skalski et al., 2005). If a GMU spanned multiple watershed boundaries we calculated the percent of the GMU area within each of the watersheds and used the percent to allocate the number of hunters and harvest among watersheds. Consequently, if two pilots flew to the same watershed region but their individual destinations fall into different GMUs, hunting quality will vary between the two pilots.
DOI: 10.18739/a25s3s
title: Graph of 1990 Akhiok, Kodiak Island Borough, Alaska population

description: Graph showing population, births, deaths and estimated net migration for Akhiok, Kodiak Island Borough, Alaska 1990.
DOI: 10.18739/a2230t
title: Graph of Akhiok, Kodiak Island Borough, Alaska population 1990-2006

description: Graph showing population, births, deaths and estimated net migration for Akhiok, Kodiak Island Borough, Alaska 1990-2006.
DOI: 10.18739/a2tg73
title: Graph of Aleknagik, Dillingham Census Area, Alaska population 1990-2006

description: Graph showing population, births, deaths and estimated net migration for Aleknagik, Dillingham Census Area, Alaska 1990-2006.
DOI: 10.18739/a2bg6c
title: Graph of Aniak, Bethel Census Area, Alaska population 1990-2006

description: Graph showing population, births, deaths and estimated net migration for Aniak, Bethel Census Area, Alaska 1990-2006.
DOI: 10.18739/a2rk5r
title: Graph of Ambler, Northwest Arctic Borough, Alaska population 1990-2006

description: Graph showing population, births, deaths and estimated net migration for Ambler, Northwest Arctic Borough, Alaska 1990-2006.
DOI: 10.18739/a2m014
title: Graph of Bethel, Bethel Census Area, Alaska population 1990-2006

description: Graph showing population, births, deaths and estimated net migration for Bethel, Bethel Census Area, Alaska 1990-2006.
DOI: 10.18739/a2g889
title: Graph of Brevig Mission, Nome Census Area, Alaska population 1990-2006

description: Graph showing population, births, deaths and estimated net migration for Brevig Mission, Nome Census Area, Alaska 1990-2006.
DOI: 10.18739/a2130h
title: Graph of Diomede, Nome Census Area, Alaska population 1990-2006

description: Graph showing population, births, deaths and estimated net migration for Diomede, Nome Census Area, Alaska 1990-2006.
DOI: 10.18739/a2j305
title: Graph of Dillingham, Dillingham Census Area, Alaska population 1990-2006

description: Graph showing population, births, deaths and estimated net migration for Dillingham, Dillingham Census Area, Alaska 1990-2006.
DOI: 10.18739/a2sk52
title: Graph of Elim, Nome Census Area, Alaska population 1990-2006

description: Graph showing population, births, deaths and estimated net migration for Elim, Nome Census Area, Alaska 1990-2006.
DOI: 10.18739/a2k30g
title: Graph of Golovin, Nome Census Area, Alaska population 1990-2006

description: Graph showing population, births, deaths and estimated net migration for Golovin, Nome Census Area, Alaska 1990-2006.
DOI: 10.18739/a2ps3f
title: Graph of Gambell, Nome Census Area, Alaska population 1990-2006

description: Graph showing population, births, deaths and estimated net migration for Gambell, Nome Census Area, Alaska 1990-2006.
DOI: 10.18739/a2302v
title: Graph of Manokotak, Dillingham Census Area, Alaska population 1990-2006

description: Graph showing population, births, deaths and estimated net migration for Manokotak, Dillingham Census Area, Alaska 1990-2006.
DOI: 10.18739/a2d88p
title: Graph of Koyuk, Nome Census Area, Alaska population 1990-2006

description: Graph showing population, births, deaths and estimated net migration for Koyuk, Nome Census Area, Alaska 1990-2006.
DOI: 10.18739/a2ns34
title: Graph of New Stuyahok, Dillingham Census Area, Alaska population 1990-2006

description: Graph showing population, births, deaths and estimated net migration for New Stuyahok, Dillingham Census Area, Alaska 1990-2006.
DOI: 10.18739/a26s33
title: Graph of Nome, Nome Census Area, Alaska population 1990-2006

description: Graph showing population, births, deaths and estimated net migration for Nome, Nome Census Area, Alaska 1990-2006.
DOI: 10.18739/a29k5q
title: Graph of Saint Michael, Nome Census Area, Alaska population 1990-2006

description: Graph showing population, births, deaths and estimated net migration for Saint Michael, Nome Census Area, Alaska 1990-2006.
DOI: 10.18739/a2z88n
title: Graph of Savoonga, Nome Census Area, Alaska population 1990-2006

description: Graph showing population, births, deaths and estimated net migration for Savoonga, Nome Census Area, Alaska 1990-2006.
DOI: 10.18739/a24s4v
title: Graph of Shaktoolik, Nome Census Area, Alaska population 1990-2006

description: Graph showing population, births, deaths and estimated net migration for Shaktoolik, Nome Census Area, Alaska 1990-2006.
DOI: 10.18739/a2h30v
title: Graph of Togiak, Dillingham Census Area, Alaska population 1990-2006

description: Graph showing population, births, deaths and estimated net migration for Togiak, Dillingham Census Area, Alaska 1990-2006.
DOI: 10.18739/a2x88b
title: Graph of Shishmaref, Nome Census Area, Alaska population 1990-2006

description: Graph showing population, births, deaths and estimated net migration for Shishmaref, Nome Census Area, Alaska 1990-2006.
DOI: 10.18739/a2w89d
title: Graph of Tuluksak, Bethel Census Area, Alaska population 1990-2006

description: Graph showing population, births, deaths and estimated net migration for Tuluksak, Bethel Census Area, Alaska 1990-2006.
DOI: 10.18739/a24g20
title: Partial Support for the Eleventh Conference on Hunting and Gathering Societies, 2015

description: The study of hunter-gatherer societies around the world, and in the Arctic and Alaska in particular, became a major field within the social and human sciences five decades ago. The goal of the Eleventh Conference on Hunting and Gathering Societies (CHAGS XI) is to continue the development of a unified field of hunter-gatherer studies. The general question of CHAGS XI therefore is how the results of the last 50 years and new research agendas can be utilized for the present and future. While many hunter-gatherers are forced to give up their ways of life and subsistence practices, they figure prominently in public discourses on ecological and ideological alternatives to industrial society. CHAGS XI will attract a variety of stakeholders in these debates, including indigenous representatives, NGOs, scholars, etc., from the U.S. and other countries. Based on fieldwork and research from the full spectrum of hunter-gatherer ways of life and from all perspectives scientific disciplines have to offer, the purpose of CHAGS XI is to bring hunter-gatherer studies back to the center of the human and social sciences. The conference will encourage discussions that will provide the social sciences and other research areas with in-depth understanding of hunter-gatherer societies in the United States, Arctic and globally. Through publication of the keynote addresses, results will be widely disseminated to local, national and international groups concerned with hunter-gatherer societies.
DOI: 10.18739/a2dv8j
title: Making Science Accessible to Inuit, Inughuit, and Iñupiat Arctic Indigenous Communities in Their Own Languages; Qaanaaq, Greenland; Barrow, Alaska; Clyde River, Nunavut, Canada; 2013-2017

description: The Meaning of Ice celebrates Arctic sea ice as it is seen and experienced by the Inuit, Iñupiat, and Inughuit, who for generations have lived with it and thrived on what it offers. With extensive details offered through their own drawings and writings, this book describes the great depth of Inuit, Iñupiat, and Inughuit knowledge of sea ice and the critical and complex role it plays in their relationships with their environment and with one another. Over forty Inuit, Iñupiat, and Inughuit from three different Arctic communities contributed stories, original artwork, hand-drawn illustrations, maps, family photos, and even recipes to this book. Professional and historical photographs, children's artwork, and innovative graphics add more to the story of The Meaning of Ice. The Meaning of Ice is an important contribution to understanding the Arctic and its people at a time when the region is undergoing profound change, not least in terms of sea ice. It takes readers beyond what sea ice is, to broaden our appreciation of what sea ice means.
DOI: 10.18739/a2xg9fb4k
title: Plausible Scenarios for Future States of the Arctic: Seattle, Washington, April 2018 Workshop

description: The Study of Environmental Arctic Change convened an Arctic scenarios workshop 19-22 April 2018 in Seattle, Washington. The Arctic Futures 2050 Scenarios Workshop focal question was: “what information is needed to adaptively respond to changes in Arctic environments by 2050?” At the workshop, Arctic researchers, Indigenous Peoples, and policy makers collaboratively identified plausible states of Arctic environments in the coming decades and the related research needs. Results were presented in the form of a robustness analysis, a quantitative scenarios method that was developed by evolve:IT LLP (Drs. Erik Gauger and Marc Müller-Stoffels) in collaboration with Z_punkt GmbH. The Robustness Analysis recognized that a good—or robust—scenario should be simultaneously plausible and self-consistent, and the analysis weights those traits in the calculation of viable raw scenarios. The results were communicated in scenarios narratives.
DOI: 10.18739/a2401s
title: Population in Arctic Alaska: A graphical library for 43 communities, 1990-2013

description: Powerpoint with graphs of population change with births, deaths and net migration 43 Arctic Alaska communities, 1990-2013.
DOI: 10.18739/a2cf83
title: Possibilites for revitalizing the Itelmen language, Kamchatka, Russia, 2013-2016

description: This project research was conducted in Kamchatka, the Pacific coast of Russia among Itelmen people - an indigenous minority group with a severely endangered language. The project documented and evaluated a range of ongoing efforts to revitalize Itelmen and analyzed the effectiveness of the existing language revitalization tools and programs. This research was conducted in order to contribute to a deeper understanding of language and cultural revitalization programs not only among Itelmens of Kamchatka, but also with the purpose to inform about these programs world-wide. The preservation of this language in the face of centuries of assimilation programs enacted by Russian Imperial and later Soviet administrations is significant. The most significant broader impact is what other Indigenous communities in a similar situation to the Itelmen can learn from this community's struggles and efforts as well as what Itelmens can learn from other communities that are struggling to save their language. Researchers on this project aimed to understand which methods should be applied for a successful Itelmen language revitalization program both in class and outside the classroom. When this research started in 2013 there were about nine speakers who were growing up speaking Itelmen as their first language. By the end of the study in 2016 only four speakers remained. In Kamchatka the student researcher visited five different locations. Each has its own specifics. Part of the research was dedicated to the use of multimedia in language revitalization. The main outcome of this part of the project was the publication of the DVD of Itelmen traditional and contemporary songs with subtitles and video Xaƚc mǝncaⱪa’ƚkicen (Let's sing). The idea was borrowed from the widely known Karaoke. Each song has a voice of the native speaker singing the song, visualized by subtitles in Itelmen and Russian, and video. This research indicated that Itelmens are ready to be active in bringing their language back to the active life, however there is a great lack of knowledge about the language immersion methodologies and other techniques that go beyond the educational setting of schools.
DOI: 10.18739/a2f47gt6p
title: Synthetic annual place-level estimates of individual and household employment status, earnings, income, and poverty status for American Indian and Alaska Native individuals in rural Alaska, 2000 - 2016

description: The American Community Survey (ACS) replaced the United States (US) Census Long Form Survey after 2000 as the only systematic source of community-level information on the American Indian and Alaska Native (AIAN) population living in rural Alaska communities. We define rural Alaska as the region corresponding to Census Public Use Microdata Area (PUMA) 400, known also as the Subsistence Alaska PUMA. The ACS is an annual survey. However, due to small sample sizes, the ACS publishes estimates for places and census areas/boroughs only as five-year moving averages. Even with the averaging over five years, estimates of economic conditions vary substantially over time in many communities, and high margins of error make it difficult to distinguish communities from each other. Using individual Census and ACS records accessed through the Census Research Data Center program, we estimated censored and logistic regression equations with random community effects that explained individual survey responses for year-round employment, individual and household earnings, individual and household income, and poverty status for individuals indicating AIAN identity, either alone or in combination with other races. Explanatory variables in the equations included Alaska Department of Labor place-level employment and earnings, Alaska Permanent Fund Dividend payments, and characteristics of individuals and households such as age, gender, presence and number of children in the household, etc., that can be benchmarked with precision to the 2000 and 2010 census counts. Annual predicted values of the equations averaged over individuals in each community were combined with survey means adjusted for random interannual survey age and gender variation to produce empirical Bayes synthetic annual estimates with margins of error comparable or smaller than the published five-year averages. The synthetic estimates include the regression-based predicted values for years 2001 through 2004 when no survey data were collected. Data are restricted by the US Census Bureau to avoid disclosure of individual information until approved for public release. The data are still under disclosure review, and will be provided if released.
DOI: 10.18739/a2jw86n04
title: Synthetic annual place-level estimates of language use at home and educational attainment for American Indian and Alaska Native individuals in rural Alaska, 2000 - 2015

description: The American Community Survey (ACS) replaced the United States (US) Census Long Form Survey after 2000 as the only systematic source of community-level information on the American Indian and Alaska Native (AIAN) population living in rural Alaska communities. We define rural Alaska as the region corresponding to Census Public Use Microdata Area (PUMA) 400, known also as the Subsistence Alaska PUMA. The ACS is an annual survey. However, due to small sample sizes, the ACS publishes estimates for places and census areas/boroughs only as five-year moving averages. Even with the averaging over five years, estimates of educational attainment and language use vary substantially over time in many communities, and high margins of error make it difficult to distinguish communities from each other. Using individual Census and ACS records accessed through the Census Research Data Center program, we generated annual synthetic estimates of language use at home and two measures of educational attainment -- high school graduation and college degree -- based on logistic regressions estimated with data on individuals indicating AIAN identity, either alone or in combination with other races. The equations were estimated under the assumption that language and education change gradually at the community level, and that variations from year to year are associated with sample variation in basic characteristics of the population such as age and gender that can be benchmarked with precision to the 2000 and 2010 census counts. The synthetic estimates remove the variation associated with interannual survey age and gender variation, resulting in a smaller margin of error for the smoothed estimates than in the original sample means. They also include interpolated values for years 2001 through 2004 when no survey data were collected.
DOI: 10.18739/a2xs5jg65
title: Testing Genotype-Hormone Associations in Circumpolar Ancestral and Descendant Populations

description: This project produced novel findings regarding the association between genotype and human fertility, advanced new methods for studying hormonal and genotypic variation, and contributed the groundwork for subsequent research on the environmental, behavioral, and genetic determinants of reproductive hormone concentrations in arctic women. Individual differences in fertility are partly dependent upon a woman's reproductive hormone levels during her menstrual cycle. These hormone concentrations are also risk factors for several diseases (e.g., breast and other cancers, cardiovascular disease). Despite the significant roles of these hormones in women's health, very little is known about the extent and causes of variation in these hormones among pre-menopausal arctic women. This project examined whether genetic variation contributes to differences in fertility and hormonal variation in circumpolar ancestral (Central Asian) and descendant (indigenous South American) populations, and between former East and West German women. The specific characteristics of each of these population made them particularly suitable choices for this study. Contemporary Germany is very similar to the U.S. but had been divided for about 40 years into two separate countries with different lifestyles. Thus, Germany is both a good model for understanding hormonal variation in the U.S. population, and also allows a comparison of the effects of the different lifestyles on hormone concentrations in these genetically comparable German samples. Likewise, the Bolivian Aymara and Central Asian populations are genetically similar because of their shared ancestry with circumpolar populations, but their different lifestyles and environments are likely to influence hormone concentrations. We identified a significant SNP, exm562556 (rs34068461), associated with variation in fertility (fertility highest in GG genotype than in GT genotype which was higher than TT genotype). This variant is in a gene that encodes a protein thought to be involved in centrosomal or ciliary functions. Mutations in this gene also cause Leber congenital amaurosis type V, a syndrome including congenital blindness. The field, laboratory and analytical techniques advanced in this project are now being used in a study of the impact of arctic environmental conditions (most notably, the extreme seasonal variation in photoperiod) on Icelandic women's physiology and behaviors including reproductive and immune functioning, sleep repertoires, energy expenditure, dietary patterns, and psychosocial well-being.