cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26536391.v1
title: AP3B1 facilitates PDIA3/ERP57 function to regulate rabies virus glycoprotein selective degradation and viral entry

description: Rabies virus causes an estimated 59,000 annual fatalities worldwide and promising therapeutic treatments are necessary to develop. In this study, affinity tag-purification mass spectrometry was employed to delineate RABV glycoprotein and host protein interactions, and PDIA3/ERP57 was identified as a potential inhibitor of RABV infection. PDIA3 restricted RABV infection with follow mechanisms: PDIA3 mediated the degradation of RABV G protein by targeting lysine 332 via the selective macroautophagy/autophagy pathway; The PDIA3 interactor, AP3B1 (adaptor related protein complex 3 subunit beta 1) was indispensable in PDIA3-triggered selective degradation of the G protein; Furthermore, PDIA3 competitively bound with NCAM1/NCAM (neural cell adhesion molecule 1) to block RABV G, hindering viral entry into host cells. PDIA3 190-199 aa residues bound to the RABV G protein were necessary and sufficient to defend against RABV. These results demonstrated the therapeutic potential of biologics that target PDIA3 or utilize PDIA3 190-199 aa peptide to treat clinical rabies. <b>Abbreviation:</b> aa: amino acids; ANXA2: annexin A2; AP-MS: affinity tag purification-mass spectrometry; AP3B1: adaptor related protein complex 3 subunit beta 1; ATP6V1A: ATPase H<sup>+</sup> transporting V1 subunit A; ATP6V1H: ATPase H<sup>+</sup> transporting V1 subunit H; BafA1: bafilomycin A1; CHX: cycloheximide; co-IP: co-immunoprecipitation; DDX17: DEAD-box helicase 17; DmERp60: <i>drosophila melanogaster</i> endoplasmic reticulum p60; EBOV: Zaire ebolavirus virus; EV: empty vector; GANAB: glucosidase II alpha subunit; G protein: glycoprotein; GRM2/mGluR2: glutamate metabotropic receptor 2; HsPDIA3: <i>homo sapiens</i> protein disulfide isomerase family A member 3; IAV: influenza virus; ILF2: interleukin enhancer binding factor 2; KO: knockout; MAGT1: magnesium transporter 1; MAP1LC3/LC3: microtubule associated protein 1 light chain 3; MmPDIA3: <i>mus musculus</i> protein disulfide isomerase associated 3; NCAM1/NCAM: neural cell adhesion molecule 1; NGFR/p75NTR: nerve growth factor receptor; NGLY1: N-glycanase 1; OTUD4: OTU deubiquitinase 4; PDI: protein disulfide isomerase; PPIs: protein-protein interactions; RABV: rabies virus; RUVBL2: RuvB like AAA ATPase 2; SCAMP3: secretory carrier membrane protein 3; ScPdi1: S<i>accharomyces cerevisiae s288c</i> protein disulfide isomerase 1; SLC25A6: solute carrier family 25 member 6; SQSTM1/p62: sequestosome 1; VSV: vesicular stomatitis virus.
DOI: 10.18739/a24746s3k
title: Late Quaternary Sea Ice History of the Beringian Arctic Gateway

description: Sea ice extent in the Arctic Ocean and its marginal seas is a key component of the coupled ice-atmosphere-ocean system and a driver of meridional ocean circulation, yet information about sea ice conditions in the past is very limited. The goals of this proposed study are two-fold. The first is to use archived surface sediments collected from the Bering and Chukchi Seas to develop quantitative measures of seasonal sea-ice extent and duration. This will be achieved through analysis of diatom morphology, assemblages and the IP25 biomarker of ice-associated diatoms from a suite of over 200 surface sediments collected from the Bering and Chukchi Seas spanning 0-12 months/year of sea ice. The second goal is to apply sea ice reconstructions using the calibrated diatom assemblage methods and IP25 analysis to a suite of six archived cores that form a latitudinal transect through the Bering and Chukchi Seas. The PIs aim to quantitatively reconstruct Late Pleistocene and Holocene seasonal sea ice extent at centennial-scale resolution. These efforts will be corroborated with independent biomarker-based evaluation of surface water temperatures. The successful completion of the project will result in a rich, multi-proxy data set that will be used to evaluate the sea ice and sea surface temperature history of the Bering Strait region. The results of this project will be relevant to global climate modelers as well as paleoecologists, paleoclimatologists, and paleoceanographers interested in regional- to global-scale forcing issues. The broader Arctic science community would benefit from the proxy development proposed. The project would support two full-time graduate students and a summer undergraduate research assistant in each year of the project. The PIs and students will also continue to develop curriculum modules designed to introduce 5th through 8th grade students to the topics of global and Arctic climate, marine sedimentation, ecosystem adaptation to changing environments, and the classification of organisms. The location of the 5 cores are as follows: HLY0202-3JPC: 60.1279N 179.4418W, HLY0202-51JPC: 54.55315N 168.66692W, HLY0202-17JPC: 53.933N 178.69883W, HLY0204-24JPC 73.231N, 167.88235W, HLY0204-28JPC: 73.44836N 167.69124W.
DOI: 10.18739/a20k26c1p
title: Collaborative Research: Are There Natural Climate Cycles in the Holocene Variations of Arctic Sea Ice and Greenland Icebergs Across the Denmark Strait?

description: Historical observations and theory suggest the importance of the extent and duration of drift ice on the Climate System through changes in the Hemispheric albedo and the impact of freshwater export from the Arctic Ocean and Greenland Ice Sheet on the Thermohaline Circulation. Funds are provided to develop 50-100 yr resolution records of changes in sea ice export from the Arctic Ocean and iceberg transport from tidewater ice streams of NE Greenland that reach the Denmark Strait and to develop a detailed history of ice-rafted debris (IRD) over the last 12,000 cal yr BP. Denmark Strait is believed to be a critical area for study as it lies at the boundary between the southward export of Polar and Arctic waters and the northwestern limb of the North Atlantic Drift in the form of the Irminger Current. The research will explore a sources-to-sink model along the ENE/E Greenland shelf and across the Denmark Strait using sediment characteristics to document spatial and temporal changes in composition in a series of well-dated, high-resolution cores from either side of the Denmark Strait and along the NE Greenland shelf. This information will be used to infer changes in the transport of sea ice through the Denmark Strait. Given the ongoing observations of changing sea ice character in the Arctic, changes in the flux of sea ice into the Greenland-Norwegian Seas and the North Atlantic Ocean, and possible acceleration of ice loss from the Greenland Ice Sheet through iceberg calving, a better understanding of how these processes varied in the past will help inform projections of future climate variations. This project will develop data sets that contribute to that understanding.
DOI: 10.18739/a2vt1gq75
title: IPY: Microbial winter survival physiology: a driver on microbial community composition and carbon cycling

description: Arctic landscapes are changing rapidly. The "greening" and "shrubification" of the Arctic drive climate feedbacks (via albedo and energy exchange) as well as affecting human activities directly. Vegetation change, however, is driven belowground by nutrient availability, a result of microbial feedbacks that also have independent effects on the climate system (e.g. CO2 and CH4 emissions). The microbial system, therefore, plays a key role in regulating the functioning of the overall Arctic System. As organisms migrate and spread across the Arctic, the processes they regulate migrate with them. Predicting changes in the pattern of tundra biogeochemistry therefore requires understanding the factors that regulate the distribution and functioning of key groups of microbes. Are bacteria and fungi regulated simply by the chemical substrates available to them, and thus by plant distribution? Or alternatively, are microbes independently regulated by the challenges of tolerating the freezing conditions of winter? What are microbial adaptations to low temperature, and what are their ecological consequences? These are interesting questions for basic microbial ecology, but are also important in the context of the changing Arctic. The core hypotheses of this project are: 1) the distribution of specific microbial groups is controlled primarily by plant community composition, but 2) the challenge of acclimating to winter requires changes in membrane composition, cryoprotectants, and freeze-tolerance proteins that involve physiological costs to microbes that have important implications for overall ecosystem function. Hypotheses will be tested by analyzing patterns of microbial distribution and physiology across toposequences in Alaska (low Arctic) and Greenland (high Arctic), capturing latitude and plant community variation. Seasonal changes (pre- and post-freeze, pre- and post-thaw) will be assessed by using clone library and quantitative genetic analyses (QPCR) to evaluate microbial community composition. Microbial membrane chemistry (phospholipids) and cryoprotectants (amino acids, trehalose, polyols) will be assessed by chemical analyses. Shifts in protein production patterns, including anti-freeze proteins, chaperones, and others will be assessed using proteomic techniques. This work will be supported by laboratory studies evaluating specific aspects of freezing stress: rate, temperature, and duration. It will be integrated with other studies on pan-Arctic microbial population dynamics by collaboration with the ICSU MERGE network. This will be the first ever study on how stress physiology regulates microbial distributions.
DOI: 10.18739/a2r20rx3b
title: Long-term measurements of nitrogen oxides at the GEOSummit station, Greenland

description: Pollution from fossil fuel combustion is often transported to the Arctic region from nearby continents resulting in an increase in greenhouse gases. The Arctic climate is particularly sensitive to the effects of greenhouse gases. The initial rise in temperature reduces ice cover, exposing the darker oceans below which absorb more radiation leading to further warming. Monitoring these pollutants in the Arctic is important to understand the changes that have occurred and the impact on the future climate. This project will provide long-term measurements of nitrogen oxides at the GEOSummit Station, Greenland. Polluted air from human activities and forest fires can contain relatively high levels of nitrogen oxides. When transported to the Arctic, these nitrogen oxides can foster the production of ozone, a significant greenhouse gas. The measurements will provide important information on the concentrations of nitrogen oxides transported to the Arctic, which vary both seasonally and annually and the resulting impact on Arctic ozone levels. The project will contribute to the Arctic Observing Network (AON) and the Study of Environmental Arctic Change (SEARCH). The data will be made available to researchers for studies to improve understanding of current impacts of transported pollution on greenhouse gas levels and estimates of climate change feedbacks within the Arctic. The data will also be utilized by educators for classroom teaching and support the training of new graduate students by providing a unique opportunity to further their research interests and educational growth in the field of atmospheric sciences, using state of the art technology.
DOI: 10.18739/a2m90239c
title: Multichannel radar depth sounding dataset, Greenland, 2008

description: To better understand processes affecting the ice sheets and to supply boundary condition information into ice sheet models and ice thickness for other ice sheet analysis, the Center for Remote Sensing of Ice Sheets (CReSIS) has designed, developed, and deployed several multichannel radar depth sounders in Greenland. This dataset contains data collected mostly around outlet glaciers in Greenland, including a large grid at Jakobshavn, with the specific purpose of improving understanding in this dynamic and fast changing part of the ice sheet.
DOI: 10.18739/a2gh9b95p
title: High frequency (HF) radar depth sounding dataset, Greenland, 2016

description: To better understand processes affecting the ice sheets and to supply boundary condition information into ice sheet models and ice thickness for other ice sheet analysis, the Center for Remote Sensing of Ice Sheets (CReSIS) has designed, developed, and deployed a near high frequency (33-37 MHz) radar depth sounder in Greenland. An uninhabited aerial vehicle (UAV), dubbed the G1XB, was modified to carry this HF sounder. This dataset contains data collected at Russell Glacier in Greenland to demonstrate the system.
DOI: 10.18739/a2br8mh1j
title: Multichannel radar depth sounding dataset, Greenland, 2009

description: To better understand processes affecting the ice sheets and to supply boundary condition information into ice sheet models and ice thickness for other ice sheet analysis, the Center for Remote Sensing of Ice Sheets (CReSIS) has designed, developed, and deployed several multichannel radar depth sounders in Greenland. This dataset contains data collected mostly around outlet glaciers in Greenland, including dense grids around Jakobshavn, Helheim, and Kangerlussuaq glacier channels, with the specific purpose of improving understanding in this dynamic and fast changing part of the ice sheet.
DOI: 10.18739/a2736m30f
title: Radar Depth Sounder echograms and ice thickness, Greenland, 2008-2016

description: To better understand processes affecting the ice sheets and to supply boundary condition information into ice sheet models and ice thickness for other ice sheet analysis, the Center for Remote Sensing of Ice Sheets (CReSIS) has designed, developed, and deployed radar depth sounders in Greenland. For the 2008 and 2009 seasons, several multichannel radar depth sounders were deployed around outlet glaciers in Greenland, with the specific purpose of improving understanding in this dynamic and fast changing part of the ice sheet. For the 2016 season, a near high frequency (33-37 MHz) radar depth sounder was deployed at Russell Glacier in Greenland to demonstrate the system. An uninhabited aerial vehicle (UAV), dubbed the G1XB, was modified to carry this HF sounder.
 The data sets contain geolocated radar echo strength profile images and ice thickness, ice surface, and ice bottom elevations taken with the CReSIS Radar Depth Sounders (RDS).
DOI: 10.18739/a23b5w86p
title: Toward a predictive model of Arctic coastal retreat in a warming climate, Beaufort Sea, Alaska

description: The team proposes a three-year project to develop predictive models of coastal erosion and sediment transport along the Alaskan Beaufort Sea coast. This project has three distinct but complementary goals that include monitoring and modeling: 1) to quantify the rates and drivers of shoreline retreat through the past ~50 years using retrospective analyses of remotely sensed imagery, sea surface temperatures, ground temperatures, and meteorological records; 2) to characterize the processes driving coastal change in the Arctic via comprehensive monitoring of wave and thermal energy inputs, substrate properties, and inputs of water and sediment from fluvial systems; 3) to develop both descriptive and predictive models for coastal erosion in Alaska using both simplified physical models of individual processes, and models of suites of interrelated physical processes and hydrodynamics using DELFT3D.
DOI: 10.18739/a2zk55n25
title: Population genetics of a climate-indicating predator across the forest-tundra ecotone

description: Subarctic freshwater lakes and ponds in Alaska are important oases for polar biodiversity and resources for arctic peoples. However, this habitat is also among the most sensitive to disturbances such as heavy metal pollution, eutrophication, and drainage or desiccation from climate warming. Environmental indicator species in freshwater have both acted as sentinels for ongoing change and as proxies for historical change. Phantom midges (Chaoborus), for example, are among the most important freshwater dipterans for aquatic toxicology and for indicating a boreal zone climate. In some cases, Chaoborus is believed to be a better sentinel of boreal forest-tundra boundary changes than the tree line because trees can have a growth lag that is negligible in midges. The larvae of Chaoborus are also voracious predators of microcrustaceans and, as such, can strongly affect the species compositions of freshwater habitats. The PI has recently found that two species of Chaoborus are common well beyond the tree line in roadside ponds of the Seward Peninsula of northwestern Alaska. This finding provides an opportunity to improve understanding of how tundra lakes and ponds may change as they encounter a keystone predator of the boreal zone. Moreover, the effect of direct human disturbances such as road construction on the freshwaters of the boreal zone ? tundra boundary can be assessed.

Several aspects of the biology of Chaoborus in subarctic North America are poorly known. Because there are slight morphological differences between tundra species and well-studied temperate species, the geographic source and even the species name of the tundra populations are unclear. One objective of this research is to test hypotheses about the genetic affinities of Chaoborus that are presently found on the tundra. This involves phylogenetic comparisons of tundra specimens with those from eastern Asia, and with boreal Alaska. Another goal is to test the hypothesis that road construction has facilitated the expansion of boreal zone Chaoborus deep into the tundra. Testing this hypothesis involves testing for the erosion of genetic diversity on tundra ponds compared to forest ponds with high-resolution genetic markers. This project will also carry out paleoecological assessments of the rate and mode of colonization of tundra ponds. This research will inform environmental biologists, fisheries managers, engineers and planners about the role of human disturbance on the freshwater ecosystems across the tundra-boreal forest boundary at a critical time. The project will enhance or even enable comparative studies of environment-indicating chaoborids and promote a deeper understanding of recent and ongoing anthropogenic change in subarctic freshwaters. The speed and mode of colonization of tundra ponds by Chaoborus midges is important to paleoecology but unknown.
DOI: 10.15468/dl.bfcb6w
title: Occurrence Download

description: A dataset listing the 103223 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Malaysia",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 103223 records were derived from 1497 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027791-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ursosp
title: Occurrence Download

description: A dataset containing 142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((164.53125 -48.224672649565186, 164.53125 -32.99023555965107, 179.208984375 -32.99023555965107, 179.208984375 -48.224672649565186, 164.53125 -48.224672649565186))",
 "TaxonKey is Sternula nereis Gould, 1843"
 ]
}

 The dataset includes 142 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006461-171025204727650/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7gju6w
title: Occurrence Download

description: A dataset containing 314 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Fossil",
 "BasisOfRecord is Specimen"
 ]
 },
 "Continent is North America",
 "TaxonKey is Euphorbia antisyphilitica Zucc."
 ]
}

 The dataset includes 314 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001631-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bkzw6t
title: Occurrence Download

description: A dataset containing 103310 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Plant Specimen from Herbarium (CDBI) in China, Chengdu Institute of Botany, Chinese Academy of Sciences"
 ]
}

 The dataset includes 103310 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057224-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ucmx9j
title: Occurrence Download

description: A dataset containing 133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is greater than or equal to 1970",
 "TaxonKey is Bactrocera papayae Drew & Hancock, 1994",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 133 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122718-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ldfpo8
title: Occurrence Download

description: A dataset containing 13204 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Algunas especies de anfibios y reptiles contenidos en el Proyecto de Norma Oficial Mexicana PROY-NOM-059-ECOL-2000"
 ]
}

 The dataset includes 13204 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016699-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rjv8d4
title: Occurrence Download

description: A dataset containing 362965 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Ireland, United Kingdom of Great Britain and Northern Ireland, Svalbard and Jan Mayen, Norway, Sweden, Finland, Estonia, Latvia, Lithuania, Portugal, Spain, France, Germany, Belgium, Netherlands, Switzerland, Austria, Italy, Greece, Cyprus, Türkiye, Russian Federation, Belarus, Ukraine, Poland, Czechia, Hungary, Slovakia, Romania, Bulgaria, North Macedonia, Bonaire, Sint Eustatius and Saba, Montenegro, Serbia, Kosovo, Bosnia and Herzegovina, Slovenia, Croatia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cerastium fontanum Baumg."
 ]
}

 The dataset includes 362965 records from 1758 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041346-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0201538.10fu
title: SH0201538.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.