cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a2df6k39c
title: Annual Observations of the Biological and Physical Marine Environment in the Chukchi and Nearshore Beaufort Seas near Barrow, AK

description: The Arctic Ocean ecosystem may respond dramatically to climate change through already observed modification of the physical environment (e.g., hydrography and ice cover). A better understanding of the coupled biological-physical ocean ecosystem, and its interannual variability, is necessary to predict and understand these potential impacts of climate change on the Arctic ecosystem. The Chukchi-Beaufort Sea region near Barrow, AK, including coastal waters, has been identified as key because it lies at the junction of several ocean regions and downstream of the Pacific Arctic gateway and hence is influenced physically and ecologically by input from Bering Strait. Researchers have conducted oceanographic sampling of the coupled physical and biological marine environment in the Chukchi and near-shore Beaufort Seas for five years (2005 - 2009), including coastal waters, using boat-based surveys during late summer and short-term (month) and year-long bottom-mounted moorings, and have observed significant interannual variability. They will now establish annual surveys of the pelagic marine environment and deploy a year-round mooring in Barrow Canyon as components of the Arctic Observing Network (AON). The surveys will measure a range of biological and physical parameters including hydrography, currents, plankton standing stocks, nutrients, and plankton genetics. The mooring will measure ocean currents, near bottom temperature and salinity, and acoustic backscatter (zooplankton proxy) in Barrow Canyon at a location typically within or beneath the Alaska Coastal Current. Results from this AON component will provide a 10-year record and enable a better understanding of inter-annual variability in the physical and biological characteristics of the Barrow area ocean confluence. Based on these data, changes in biological characteristics that respond to larger climate change can be detected. This proposed AON component includes measurements of key oceanic biological and chemical parameters, and their coupling to physical parameters from a region sensitive to climate change. The researchers will actively communicate plans and results with the community of Barrow through formal and informal discussions and presentations. They will also support the participation of a teacher in fieldwork for two of the years. Sponsor:University of Rhode Island, Research Office, Kingston, RI 02881-1967
DOI: 10.18739/a28s4jp8j
title: Surface Energy Budgets at Arctic Terrestrial Sites: Quantifying Energy and Momentum Fluxes and their Associated Physical Processes

description: This project will perform diagnostic analyses of the processes modulating the surface radiative, turbulent, and conductive fluxes at several Study of Environmental Arctic Change (SEARCH) climate observatories located around the Arctic Ocean in Canada, Alaska, and Siberia to investigate the annual cycle of the surface energy budget (SEB) and its coupling to atmospheric and surface processes. Where necessary, existing observations will be augmented to complete the suite of SEB measurements. Data exist or will be obtained to focus on the following scientific questions: (i) What processes govern the SEB at Arctic terrestrial sites? What role do local effects such as terrain or coastlines play? How large is the local spatial SEB heterogeneity? How do the physical processes affecting the SEB differ among the various sites? How do these SEB climatologies compare with a sea-ice regime as represented by the SHEBA site, or with that of Greenland? Which SEB terms might be impacted by climate change and how? (ii) What is the relative contribution from classical Monin-Obukhov similarity (MOS) and non-MOS processes to heat and momentum fluxes at Arctic terrestrial sites? Are existing bulk algorithms for surface turbulent fluxes in models applicable at Arctic sites or is the development of new ones necessary? (iii) Which SEB terms determine the soil temperatures and the active layer depth? What mechanisms force variability in those terms? How does the annual cycle of snow cover at each site influence the SEB and thus temperature regimes? Comparisons of key processes at these terrestrial sites will be made to those done by other researchers over Arctic sea ice and on Greenland. These coordinated observations and analyses, which provide process understanding of atmospheric-soil interactions in the Arctic, are rare and will be of interest to a broad spectrum of the scientific community, including the remote sensing and modeling communities. The resulting data and analyses will likely be key data sources for future model studies in a variety of disciplines. Physical understanding of the modulation of energy fluxes to permafrost should provide enhanced understanding of the potential for the greenhouse gas release process in climate-change scenarios. The project takes advantage of interagency and international collaborations with investigators located around the Arctic (USA, Canada, and Russia) and will contribute to education on Arctic climate systems through partnership with the CIRES Education and Outreach group, leading to teacher development and classroom implementation of new climate topics.
DOI: 10.18739/a2183431v
title: Quantifying nitrite and peroxynitrite formation from the photolysis of nitrate in and on ice

description: Nitrate is a ubiquitous contaminant in polar snow whose concentrations in ice cores serve as a history of nitrogen oxide pollution in the atmosphere. It was once thought that nitrate deposited in snow was essentially inert, but a decade ago researchers in Greenland discovered that snow nitrate is broken down by sunlight to form products such as nitrogen oxides and nitrous acid. These species are emitted from the snow into the atmosphere, where they can significantly change atmospheric composition and chemistry. For example, nitrogen oxides from snow can lead to the formation of ozone in the lowest layers of the atmosphere, while nitrous acid is an important source of hydroxyl radical, a key oxidant that determines the lifetimes of atmospheric pollutants. There is significant uncertainty about the efficiency with which nitrate photodecomposition forms two of its products, nitrite and peroxynitrite. Studying the formation of these products is important because they are major sources of important atmospheric gases in polar regions. The goal of the proposed work is to quantify the formation of nitrite and peroxynitrite from illumination of nitrate in/on ice so that the budgets of reactive nitrogen and oxidants in the Arctic can be better constrained. The investigators would accomplish this goal by: (1) Measuring the efficiencies for nitrite and peroxynitrite formation during nitrate illumination in ice; (2) Characterizing the impacts of organic molecules, which are ubiquitous constituents in snow, on nitrite and peroxynitrite formation; (3) Examining whether yields of nitrite and peroxynitrite vary if nitrate is present in different locations in/on the ice; and (4) Using the results to calculate rates of nitrite and peroxynitrite formation from nitrate photolysis in Arctic snow. Overall, these results should significantly improve understanding of the chemistry of nitrogen oxides, ozone, and hydroxyl radical in the Arctic snowpack and should help clarify the impacts of nitrate reactions on the overlying atmospheric boundary layer. The work would be carried out using well­defined laboratory ice samples, a variety of analytical techniques, and simple numerical modeling to determine the impact of the results on the chemistry in the Arctic snowpack and atmosphere. Two graduate students and several undergraduate students will be trained and mentored through the proposed research.
DOI: 10.18739/a2wh2df5c
title: A comparison between multi-proxy and historical data of drift-ice conditions on the East Greenland shelf

description: The reduction in sea ice along the SE Greenland coast during the last century has severely impacted ice-rafting to this area. In order to reconstruct ice-rafting and oceanographic conditions in the area of Denmark Strait during the last ~150 years, we conducted a multiproxy study on three short (20 cm) sediment cores from outer Kangerdlugssuaq Trough (~300 m water depth). The proxy-based data obtained have been compared with historical and instrumental data to gain a better understanding of the ice sheet-ocean interactions in the area. A robust chronology has been developed based on 210Pb and 137Cs measurements on core PO175GKC#9 (~66.2°N, 32°W) and expanded to the two adjacent cores based on correlations between calcite weight percent records. Our proxy records include sea-ice and phytoplankton biomarkers, and a variety of mineralogical determinations based on the &lt;2 mm sediment fraction, including identification with quantitative x-ray diffraction, ice-rafted debris counts on the 63-150 µm sand fraction, and source identifications based on the composition of Fe oxides in the 45-250 µm fraction. A multivariate statistical analysis indicated significant correlations between our proxy records and historical data, especially with the mean annual temperature data from Stykkishólmur (Iceland) and the storis index (historical observations of sea-ice export via the East Greenland Current). In particular, the biological proxies (calcite weight percent, IP25, and total organic carbon %) showed significant linkage with the storis index. Our records show two distinct intervals in the recent history of the SE Greenland coast. The first of these (ad 1850-1910) shows predominantly perennial sea-ice conditions in the area, while the second (ad 1910-1990) shows more seasonally open water conditions.
DOI: 10.18739/a2n00zt69
title: IPY Back to the Future (BTF): Re-sampling old research sites to assess change in high latitude terrestrial ecosystem structure and function

description: Craig Tweedie of the University of Texas at El Paso will determine how key structural and functional characteristics of high latitude terrestrial ecosystems in the Arctic have changed over the past 25 or more years and predict whether such changes are likely to continue. The PI will play a leading role in the international Back to the Future project (IPY project #214). He will establish a focused international Back to the Future coordination and invormation web portal; rescue data and re-establish and re-sample four princicpal ecological study sites including the International Biological Program (IBP) site near Barrow, Alaska, the Research in Arctic Terrestrial Ecosystems (RATE) site near Atqasuk, Alaska, and the PhD dissertation sites of two well known and respected Arctic plant ecologists, Pat Webber (Central Baffin Island) and Terry Callaghan, Disko Island (West Greenland); and coordinate two international Back to the Future synthesis meetings. Date will be archived for open access at the National Snow and Ice Data Center (NSIDC). Studenst will assist in re-sampling historical research sites and gain hands-on research experience under the mentorship of Webber and Callaghan as the latter re-sample sites of their own Ph.D. research approximately 40 years after they were established. The project will elucidate decadal scale ecosystem changes in multiple land cover types across the Arctic; validate and improve models of environmental change based on remote sensing; assess the impact of global change on ecosystem structure and function including arctic plant biodiversity; and improve our knowledge feedback mechanisms between land and atmospheric subsystems of the arctic. Undergratuate students, a graduate student, and a postdoctoral fellow will be trained and mentored at a leading minority serving institution. The students will be mentored by pioneering and accomplished Arctic researchers. Funding Source: Arctic System Science Program (ARCSS) Sponsor: University of Texas at El Paso, ADMIN BLDG RM 209, El Paso, TX 79968-0587 Citation: Tweedie, Craig (2013): IPY Back to the Future (BTF): Re-sampling old research sites to assess change in high latitude terrestrial ecosystem structure and function. UCAR/NCAR - CISL - ACADIS. Dataset. Updated August 12, 2014. http://dx.doi.org/10.5065/D6XS5SD1
DOI: 10.18739/a2rr1pn0r
title: Learning about environmental research in the context of climate change: an international scholastic interchange

description: This project creates an international science research exchange between the Inupiaq students of the North Slope of Alaska and Zapotec and Purehepecha student of Oaxaca and Michoacan, Mexico to research, observe, and experience the science of biodiversity and climate change both in Mexico and Alaska. Inupiaq students will travel to Mexico and Zapotec and Purehepecha students will travel to Alaska to immerse themselves in the local environment, language, and culture of each others regions. This exchange project will provide a global context within which local students can understand their environmental and social cultural experiences. In addition, the anthropological investigators will be observing the cultural construction of science and education among the participants, including scientists, teachers, and students.
DOI: 10.18739/a2h70813f
title: Atqasuk, Alaska - Structure and Function Data

description: Vegetation cover, carbon flux, and environmental data for historic vegetation sites established near Atqasuk, Alaska in 1975. Vegetation cover data includes three years of data (1975, 2000, 2010).
DOI: 10.15468/dl.6wbtcj
title: Occurrence Download

description: A dataset containing 47695 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "TaxonKey is Milvus migrans (Boddaert, 1783)"
 ]
}

 The dataset includes 47695 records from 214 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027708-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2cj87m1k
title: Barrow, Alaska - Structure and Function Data

description: Vegetation cover, carbon flux, and environmental data for historic vegetation sites established near Barrow, Alaska in 1972. Vegetation cover data includes four years of data (1972, 1999, 2008, 2010).
DOI: 10.15468/dl.6aymu5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((38.09667 -5.454167, 38.09667 -5.455, 38.095 -5.455, 38.095 -5.455833, 38.09333 -5.455833, 38.09333 -5.456667, 38.0925 -5.456667, 38.0925 -5.4575, 38.09167 -5.4575, 38.09167 -5.458333, 38.09083 -5.458333, 38.09083 -5.459167, 38.09 -5.459167, 38.09 -5.460833, 38.08917 -5.460833, 38.08917 -5.461667, 38.08833 -5.461667, 38.08833 -5.4625, 38.0875 -5.4625, 38.0875 -5.464167, 38.08667 -5.464167, 38.08667 -5.4675, 38.08583 -5.4675, 38.08583 -5.4725, 38.085 -5.4725, 38.085 -5.480833, 38.08583 -5.480833, 38.08583 -5.489167, 38.08667 -5.489167, 38.08667 -5.493333, 38.0875 -5.493333, 38.0875 -5.4975, 38.08833 -5.4975, 38.08833 -5.501667, 38.08917 -5.501667, 38.08917 -5.506667, 38.09 -5.506667, 38.09 -5.511667, 38.09083 -5.511667, 38.09083 -5.515833, 38.09167 -5.515833, 38.09167 -5.5175, 38.0925 -5.5175, 38.0925 -5.518333, 38.09333 -5.518333, 38.09333 -5.519167, 38.09417 -5.519167, 38.09417 -5.52, 38.095 -5.52, 38.095 -5.520833, 38.09583 -5.520833, 38.09583 -5.521667, 38.09667 -5.521667, 38.09667 -5.5225, 38.0975 -5.5225, 38.0975 -5.523333, 38.09833 -5.523333, 38.09833 -5.524167, 38.09917 -5.524167, 38.09917 -5.525, 38.1 -5.525, 38.1 -5.525833, 38.10083 -5.525833, 38.10083 -5.526667, 38.10167 -5.526667, 38.10167 -5.5275, 38.11083 -5.5275, 38.11083 -5.526667, 38.1125 -5.526667, 38.1125 -5.525833, 38.11417 -5.525833, 38.11417 -5.525, 38.11583 -5.525, 38.11583 -5.524167, 38.11667 -5.524167, 38.11667 -5.521667, 38.1175 -5.521667, 38.1175 -5.519167, 38.11833 -5.519167, 38.11833 -5.515833, 38.11917 -5.515833, 38.11917 -5.513333, 38.12 -5.513333, 38.12 -5.511667, 38.12083 -5.511667, 38.12083 -5.509167, 38.12167 -5.509167, 38.12167 -5.5075, 38.1225 -5.5075, 38.1225 -5.505, 38.12333 -5.505, 38.12333 -5.504167, 38.1225 -5.504167, 38.1225 -5.5, 38.12167 -5.5, 38.12167 -5.495833, 38.12083 -5.495833, 38.12083 -5.491667, 38.12 -5.491667, 38.12 -5.488333, 38.11917 -5.488333, 38.11917 -5.484167, 38.11833 -5.484167, 38.11833 -5.4825, 38.11833 -5.48, 38.11917 -5.48, 38.11917 -5.478333, 38.11833 -5.478333, 38.11833 -5.476667, 38.1175 -5.476667, 38.1175 -5.475, 38.11667 -5.475, 38.11667 -5.473333, 38.11583 -5.473333, 38.11583 -5.471667, 38.115 -5.471667, 38.115 -5.47, 38.11417 -5.47, 38.11417 -5.469167, 38.11333 -5.469167, 38.11333 -5.4675, 38.1125 -5.4675, 38.1125 -5.465, 38.11167 -5.465, 38.11167 -5.4625, 38.11083 -5.4625, 38.11083 -5.460833, 38.11 -5.460833, 38.11 -5.46, 38.10917 -5.46, 38.10917 -5.458333, 38.10833 -5.458333, 38.10833 -5.4575, 38.1075 -5.4575, 38.1075 -5.455833, 38.10583 -5.455833, 38.10583 -5.455, 38.09917 -5.455, 38.09917 -5.454167, 38.09667 -5.454167))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027712-241107131044228/datasets/export for details.
DOI: 10.15468/dl.2nkt9s
title: Occurrence Download

description: A dataset containing 677199 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Fagaceae"
 ]
}

 The dataset includes 677199 records from 964 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027661-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23719/1526341
title: Employment status and exposure to DBPs

description: We used data from CDC's National Birth Defect Prevention Study, the largest case-control study of birth defects ever conducted.  Data were collected for cases and controls via a computer-assisted telephone information, and included information related to demographics, pre-existing health conditions, medication use, employment/occupation, personal hobbies, diet, and water use.
DOI: 10.23719/1529814
title: Code for EPA HAWC ecological evidence extraction form

description: This is code for the ecological evidence extraction form for EPA HAWC.
DOI: 10.15468/dl.bp4dpm
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Masdevallia anisomorpha Garay"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002431-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-02.3032727/2548382
title: Data for EMSL Project 60122 from February 2024
DOI: 10.25582/data.2024-02.3032797/2548383
title: Data for EMSL Project 60122 from February 2024
DOI: 10.25582/data.2024-02.3032807/2548384
title: Data for EMSL Project 60122 from February 2024
DOI: 10.25582/data.2024-02.3032860/2548385
title: Data for EMSL Project 60122 from February 2024
DOI: 10.6084/m9.figshare.28746923
title: Genetic Variation Patterns and Adaptive Divergence of Three Taxus Species in the Qinling Mountains and Surrounding Areas

description: Understanding patterns of genetic variation and adaptive potential to future climate change is crucial for developing effective conservation and management strategies. The Taxus represents ancient "living fossil" plants with significant medicinal, timber, and ornamental value. The Qinling Mountains and surrounding areas harbor three yew species: T. chinensis, T. mairei, and T. qinlingensis. However, Previous studies have been limited by sample sizes and singular identification methods, resulting in taxonomic uncertainties that hinder investigations into their genetic variation patterns and underlying mechanisms. This study integrates reduced-representation genome sequencing (dd-RAD-seq), DNA barcoding, leaf phenotypic traits, and ecological data with population genetics, landscape genetics, and ecological approaches to systematically analyze taxonomic status, genetic variation, demographic history, adaptive divergence, and genomic vulnerability of these three Taxusspecies.
DOI: 10.6084/m9.figshare.28746923.v1
title: 秦岭及周边地区3种红豆杉种的遗传变异模式及适应性分化

description: <b>基因流动模式和适应性分歧：</b>历史上和现代的双向基因流动在物种边界处具有从高到低的高海拔电流，支持基因流介导的物种形成。我们确定了 81 个核心分化基因和 581 个主要参与代谢调节和应激反应的核心适应性基因。进一步分析显示 9 个共有的适应性分化基因和 6 个定向适应性分化基因。共享基因与极端温度、降水变化、光照和土壤有机碳相关，富含缬氨酸-亮氨酸-异亮氨酸生物合成、泛素系统和磷酸戊糖途径。4 个中华毛滴虫特异基因主要调控基本代谢途径，而 T. mairei和 T. qinlingensisis 分别具有 1 个参与激素信号转导和物质代谢调节的特异基因。这些差异选择的基因反映了高海拔冷干环境中的不同选择、土壤异质性和温度波动栖息地。
DOI: 10.25582/data.2024-02.3032872/2548386
title: Data for EMSL Project 60122 from February 2024
DOI: 10.25582/data.2024-02.3032925/2548387
title: Data for EMSL Project 60122 from February 2024
DOI: 10.25582/data.2024-02.3032933/2548388
title: Data for EMSL Project 60122 from February 2024
DOI: 10.5281/zenodo.15023406
title: Риски использования ГИИ в высшем образовании: категории, подкатегории и причины

description: Таблица представляет собой обобщенные результаты исследования, посвященного изучению восприятия преподавателями высших учебных заведений рисков, связанных с использованием генеративного искусственного интеллекта (ГИИ) в образовательном процессе. Данные были получены в результате анализа анкет обратной связи и рефлексивных эссе преподавателей, прошедших курс повышения квалификации по применению ГИИ. Таблица содержит полный перечень выявленных категорий и подкатегорий рисков, а также обобщенные причины, лежащие в основе восприятия этих рисков. Для каждой подкатегории рисков указаны возможные причины, сгруппированные по следующим категориям: нехватка знаний/навыков (у преподавателей и студентов), технические ограничения, организационно-методические трудности, этико-правовые вопросы, психологические факторы и опасения за качество образования. Данная таблица позволяет получить целостное представление о многообразии факторов, влияющих на отношение преподавателей к внедрению ГИИ в высшее образование, и может быть использована для разработки программ обучения и методической поддержки. Сокращения:



П - риск для преподавателя

С - риск для студента

ПС - риск для преподавателя и студента
DOI: 10.5281/zenodo.15023407
title: Риски использования ГИИ в высшем образовании: категории, подкатегории и причины

description: Таблица представляет собой обобщенные результаты исследования, посвященного изучению восприятия преподавателями высших учебных заведений рисков, связанных с использованием генеративного искусственного интеллекта (ГИИ) в образовательном процессе. Данные были получены в результате анализа анкет обратной связи и рефлексивных эссе преподавателей, прошедших курс повышения квалификации по применению ГИИ. Таблица содержит полный перечень выявленных категорий и подкатегорий рисков, а также обобщенные причины, лежащие в основе восприятия этих рисков. Для каждой подкатегории рисков указаны возможные причины, сгруппированные по следующим категориям: нехватка знаний/навыков (у преподавателей и студентов), технические ограничения, организационно-методические трудности, этико-правовые вопросы, психологические факторы и опасения за качество образования. Данная таблица позволяет получить целостное представление о многообразии факторов, влияющих на отношение преподавателей к внедрению ГИИ в высшее образование, и может быть использована для разработки программ обучения и методической поддержки. Сокращения:



П - риск для преподавателя

С - риск для студента

ПС - риск для преподавателя и студента
DOI: 10.25582/data.2024-02.3032976/2548389
title: Data for EMSL Project 60122 from February 2024
DOI: 10.25582/data.2024-02.3032985/2548390
title: Data for EMSL Project 60122 from February 2024
DOI: 10.25582/data.2024-02.3033024/2548391
title: Data for EMSL Project 60122 from February 2024