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  • Oxford University Press  (19)
  • PANGAEA
  • Ramat-Gan: Bar-Ilan University, Department of Economics
  • 2010-2014  (24)
Collection
Keywords
Year
  • 1
    Publication Date: 2023-01-13
    Keywords: Alaska, USA; Deadhorse; ENV; Environmental investigation; Event label; Franklin_Bluffs; Green_Cabin; Happy_Valley; Howe_Island; Isachsen2; Latitude of event; Longitude of event; Mould_Bay2; Queen Elizabeth Islands, Canada NWT; Sagwon; Sample code/label; Vegetation biomass; West_Dock
    Type: Dataset
    Format: text/tab-separated-values, 3555 data points
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  • 2
    Publication Date: 2023-11-01
    Keywords: Abietinella abietina; Agonimia gelatinosa; Alaska, USA; Alectoria nigricans; Alectoria ochroleuca; Allocetraria madreporiformis; Aloina brevirostris; Alopecurus alpinus; Amblystegium longicuspus; Amblystegium serpens; Anaptychia bryorum; Anastrophyllum minutum; Andromeda polifolia; Androsace chamaejasme; Aneura pinguis; Antennaria friesiana; Antennaria sp.; Anthelia juratzkana; Arctagrostis latifolia; Arctoa anderssonii; Arctocetraria nigricascens; Arctomia delicatula; Arctostaphylos alpina; Arctous rubra; Arnellia fennica; Artemisia borealis; Arthrorhaphis vacillans; Asahinea chrysantha; Astragalus alpinus; Astragalus richardsonii; Astragalus umbellatus; Aulacomnium acuminatum; Aulacomnium palustre; Aulacomnium turgidum; Baeomyces carneus; Baeomyces rufus; Barbilophozia barbata; Barbilophozia binsteadii; Barbilophozia hyperborea; Barbilophozia kunzeana; Barbula unguiculata; Bare ground; Bartramia ithyphylla; Betula nana; Biatora subduplex; Biatora vernalis; Biatorella conspersa; Bistorta vivipara; Blepharostoma trichophyllum; Brachythecium mildeanum; Brachythecium turgidum; Braya glabella var. glabella; Braya glabella var. purpurascens; Braya humilis; Bryocaulon divergens; Bryodina rhypariza; Bryoerythrophyllum recurvirostre; Bryonora castanea; Bryum arcticum; Bryum argenteum; Bryum caespiticium; Bryum pseudotriquetrum; Bryum rutilans; Bryum sp.; Bryum subneodamense; Bryum teres; Bryum wrightii; Bucegia romanica; Calamagrostis canadensis; Calamagrostis sp.; Callialaria curvicaule; Calliergon giganteum; Calliergon sp.; Caloplaca ammiospila; Caloplaca cerina; Caloplaca phaeocarpella; Caloplaca sp.; Caloplaca tetraspora; Caloplaca tiroliensis; Caloplaca tornoensis; Caloplaca xanthostigmoidea; Calypogeja muelleriana; Calypogeja sphagnicola; Campylium arcticum; Campylium chrysophyllum; Campylium longicuspus; Campylium polygamum; Campylium stellatum; Candelariella placodizans; Candelariella sp.; Candelariella terrigena; Cardamine bellidifolia; Cardamine digitata; Carex aquatilis; Carex atrofusca; Carex bigelowii; Carex capillaris; Carex fuliginosa var. misandra; Carex heleonastes; Carex membranacea; Carex microchaeta; Carex rariflora; Carex rotundata; Carex rupestris; Carex scirpoidea; Carex sp.; Carex vaginata var. quasivaginata; Cassiope tetragona; Catapyrenium cinereum; Catapyrenium sp.; Catoscopium nigritum; Cephalozia bicuspidata; Cephalozia pleniceps; Cephaloziella arctogena; Cephaloziella grimsulana; Cephaloziella varians; Cerastium arcticum; Cerastium beeringianum; Ceratodon heterophyllus; Ceratodon purpureus; Cetraria aculeata; Cetraria inermis; Cetraria islandica; Cetraria laevigata; Cinclidium arcticum; Cinclidium latifolium; Cirriphyllum cirrosum; Cladina arbuscula; Cladina mitis; Cladina rangiferina; Cladina stygia; Cladonia alaskana; Cladonia amaurocraea; Cladonia cenotea; Cladonia chlorophaea; Cladonia coccifera; Cladonia cornuta; Cladonia cyanipes; Cladonia deformis; Cladonia fimbriata; Cladonia gracilis; Cladonia gracilis var. elongata; Cladonia macroceras; Cladonia pleurota; Cladonia pocillum; Cladonia pyxidata; Cladonia scabriuscula; Cladonia sp.; Cladonia squamosa; Cladonia subfurcata; Cladonia sulphurina; Cladonia trassii; Cladonia uncialis; Cochlearia groenlandica; Collema ceraniscum; Collema sp.; Collema tenax; Collema undulatum; Conostomum tetragonum; Cratoneuron sp.; Ctenidium molluscum; Ctenidium procerrimum; Cyrtomnium hymenophylloides; Dactylina arctica; Dactylina beringica; Dactylina ramulosa; Deadhorse; Dicranum acutifolium; Dicranum angustum; Dicranum bonjeanii; Dicranum elongatum; Dicranum fragilifolium; Dicranum groenlandicum; Dicranum sp.; Dicranum spadiceum; Dicranum undulatum; Didymodon asperifolius; Didymodon rigidulus; Didymodon rigidulus var. icmadophilus; Didymodon sp.; Didymodon spadiceus; Distichium capillaceum; Distichium inclinatum; Ditrichum flexicaule; Draba alpina; Draba cinerea; Draba nivalis; Draba oblongata; Draba sp.; Draba subcapitata; Drepanocladus aduncus; Drepanocladus brevifolius; Drepanocladus sendtneri; Drepanocladus sp.; Dryas integrifolia; Elymus alaskanus var. alaskanus; Elymus alaskanus var. hyperarcticus; Empetrum nigrum; Encalypta alpina; Encalypta longicolla; Encalypta procera; Encalypta rhaptocarpa; Encalypta sp.; Encalypta vulgaris; Endocarpon pusillum; Entodon concinnus; ENV; Environmental investigation; Epilobium sp.; Equisetum arvense; Equisetum variegatum; Eriophorum angustifolium var. triste; Eriophorum vaginatum; Eurhynchium pulchellum; Event label; Evernia perfragilis; Festuca baffinensis; Festuca brachyphylla; Festuca hyperborea; Fissidens arcticus; Fissidens bryoides; Flavocetraria cucullata; Flavocetraria nivalis; Franklin_Bluffs; Fulgensia bracteata; Fuscopannaria praetermissa; Green_Cabin; Grimmia sp.; Gymnomitrion concinnatum; Gymnomitrion corallioides; Happy_Valley; Hedysarum alpinum; Hennediella heimii; Hennediella heimii var. arctica; Howe_Island; Hulteniella integrifolium; Hylocomium splendens; Hymenostylium recurvirostre; Hypnum bambergeri; Hypnum cupressiforme; Hypnum holmenii; Hypnum revolutum; Hypnum sp.; Hypnum subimponens; Hypnum vaucheri; Hypogymnia subobscura; Isachsen2; Isopterygiopsis pulchella; Japewia tornoensis; Juncus biglumis; Juncus castaneus; Juncus triglumis; Jungermannia polaris; Kiaeria cf. blyttii; Kobresia myosuroides; Lagotis glauca; Latitude of event; Lecanora epibryon; Lecanora geophila; Lecanora luteovernalis; Lecidea ramulosa; Lecidella wulfenii; Leiocolea collaris; Lepraria cf. vouauxii; Lepraria neglecta; Lepraria sp.; Leptobryum pyriforme; Leptogium gelatinosum; Leptogium lichenoides; Leptogium sp.; Limprichtia revolvens; Lloydia serotina; Longitude of event; Lopadium pezizoideum; Lophozia badensis; Lophozia collaris; Lophozia excisa; Lophozia jurensis; Lophozia longiflora; Lophozia polaris; Lophozia savicziae; Lophozia silvicola; Lophozia sp.; Lophozia ventricosa; Lophozia wenzelii; Lupinus arcticus; Luzula confusa; Luzula nivalis; Masonhalea richardsonii; Meesia longiseta; Meesia triquetra; Meesia uliginosa; Megalaria jemtlandica; Megaspora verrucosa; Micarea incrassata; Minuartia arctica; Minuartia rossii; Minuartia rubella; Mnium marginatum; Mnium thomsonii; Mould_Bay2; Mycoblastus sanguinarius; Myurella julacea; Myurella tenerrima; Nephroma arcticum; Nephroma expallidum; Nostoc commune; Ochrolechia androgyna; Ochrolechia cf. inaequatula; Ochrolechia frigida; Ochrolechia inaequatula; Ochrolechia sp.; Ochrolechia upsaliensis; Odontoshisma macounii; Orthilia secunda; Orthothecium chryseum; Orthothecium strictum; Orthothecium varia; Orthotrichum speciosum; Oxyria digyna; Oxytropis arctica; Oxytropis arctobia; Oxytropis borealis; Oxytropis maydelliana; Oxytropis sp.; Packera heterophylla; Papaver macounii; Papaver radicatum; Papaver sp.; Parmelia omphalodes var. glacialis; Parrya arctica; Parrya nudicaulis; Pedicularis albolabiata; Pedicularis arctoeuropaea; Pedicularis capitata; Pedicularis labradorica; Pedicularis lanata; Pedicularis langsdorfii; Pedicularis lapponica; Pedicularis oederi; Pedicularis sudetica; Pellia endivifolia; Peltigera aphthosa; Peltigera canina; Peltigera didactyla; Peltigera frippii; Peltigera leucophlebia; Peltigera malacea; Peltigera neopolydactyla; Peltigera polydactylon; Peltigera rufescens; Peltigera scabrosa; Peltigera sp.; Peltigera venosa; Pertusaria atra; Pertusaria bryontha; Pertusaria dactylina; Pertusaria glomerata; Pertusaria octomela; Pertusaria panyrga; Petasites frigidus; Phaeorrhiza nimbosa; Philonotis tomentella; Physconia muscigena; Placopsis gelida; Placynthium nigrum; Plagiochila asplenioides; Pleurozium schreberi; Poa abbreviata; Poa alpigena; Poa arctica var. lanata; Poa sp.; Pogonatum urnigerum; Pohlia beringiensis; Pohlia cruda; Pohlia drummondii; Pohlia nutans; Pohlia sp.; Polyblastia bryophila; Polyblastia sendtneri; Polyblastia terrestris; Polychidium muscicola; Polytrichastrum alpinum; Polytrichastrum alpinum var. alpinum; Polytrichum hyperboreum; Polytrichum piliferum; Polytrichum sp.;
    Type: Dataset
    Format: text/tab-separated-values, 70093 data points
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  • 3
    Publication Date: 2023-07-10
    Keywords: -; Active layer depth; Alaska, USA; Bare ground; Blue-green algae; Carbon/Nitrogen ratio; Deadhorse; Density; ENV; Environmental investigation; Equisetum; Event label; Forbs; Franklin_Bluffs; Grass, cover; Green_Cabin; Happy_Valley; HEIGHT above ground; Horizon; Howe_Island; Index; Isachsen2; Latitude 2; Lichen; Marchantiophyta; Moss; Mould_Bay2; Normalized Difference Vegetation Index; pH; Plant community; Queen Elizabeth Islands, Canada NWT; Sagwon; Sample code/label; Sand; Shrubs; Silt; Size fraction 〈 0.002 mm, clay; Snow thickness; Soil moisture; Vegetation, cover; Vegetation biomass; Zone, biogeographic
    Type: Dataset
    Format: text/tab-separated-values, 9758 data points
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  • 4
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    PANGAEA
    In:  Supplement to: Epstein, Howard E; Raynolds, Martha K; Walker, Donald A; Bhatt, Uma S; Tucker, Compton J; Pinzon, Jorge E (2012): Dynamics of aboveground phytomass of the circumpolar Arctic tundra during the past three decades. Environmental Research Letters, 7(1), 12 pp, https://doi.org/10.1088/1748-9326/7/1/015506
    Publication Date: 2023-12-13
    Description: Numerous studies have evaluated the dynamics of Arctic tundra vegetation throughout the past few decades, using remotely sensed proxies of vegetation, such as the normalized difference vegetation index (NDVI). While extremely useful, these coarse-scale satellite-derived measurements give us minimal information with regard to how these changes are being expressed on the ground, in terms of tundra structure and function. In this analysis, we used a strong regression model between NDVI and aboveground tundra phytomass, developed from extensive field-harvested measurements of vegetation biomass, to estimate the biomass dynamics of the circumpolar Arctic tundra over the period of continuous satellite records (1982-2010). We found that the southernmost tundra subzones (C-E) dominate the increases in biomass, ranging from 20 to 26%, although there was a high degree of heterogeneity across regions, floristic provinces, and vegetation types. The estimated increase in carbon of the aboveground live vegetation of 0.40 Pg C over the past three decades is substantial, although quite small relative to anthropogenic C emissions. However, a 19.8% average increase in aboveground biomass has major implications for nearly all aspects of tundra ecosystems including hydrology, active layer depths, permafrost regimes, wildlife and human use of Arctic landscapes. While spatially extensive on-the-ground measurements of tundra biomass were conducted in the development of this analysis, validation is still impossible without more repeated, long-term monitoring of Arctic tundra biomass in the field.
    Keywords: International Polar Year (2007-2008); IPY
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 5
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    Unknown
    PANGAEA
    In:  Supplement to: Walker, Donald A; Kuss, Patrick; Epstein, Howard E; Kade, Anja N; Vonlanthen, Corinne M; Raynolds, Martha K; Daniëls, Frederikus J A (2011): Vegetation of zonal patterned-ground ecosystems along the North America Arctic bioclimate gradient. Applied Vegetation Science, 14(4), 440-463, https://doi.org/10.1111/j.1654-109X.2011.01149.x
    Publication Date: 2023-12-13
    Description: Question: How do interactions between the physical environment and biotic properties of vegetation influence the formation of small patterned-ground features along the Arctic bioclimate gradient? Location: At 68° to 78°N: six locations along the Dalton Highway in arctic Alaska and three in Canada (Banks Island, Prince Patrick Island and Ellef Ringnes Island). Methods: We analysed floristic and structural vegetation, biomass and abiotic data (soil chemical and physical parameters, the n-factor [a soil thermal index] and spectral information [NDVI, LAI]) on 147 microhabitat releves of zonalpatterned-ground features. Using mapping, table analysis (JUICE) and ordination techniques (NMDS). Results: Table analysis using JUICE and the phi-coefficient to identify diagnostic species revealed clear groups of diagnostic plant taxa in four of the five zonal vegetation complexes. Plant communities and zonal complexes were generally well separated in the NMDS ordination. The Alaska and Canada communities were spatially separated in the ordination because of different glacial histories and location in separate floristic provinces, but there was no single controlling environmental gradient. Vegetation structure, particularly that of bryophytes and total biomass, strongly affected thermal properties of the soils. Patterned-ground complexes with the largest thermal differential between the patterned-ground features and the surrounding vegetation exhibited the clearest patterned-ground morphologies.
    Keywords: International Polar Year (2007-2008); IPY
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 6
    Publication Date: 2012-01-20
    Description: We give an arithmetic proof of rigidity for postcritically finite polynomials of prime power degree.
    Print ISSN: 0024-6093
    Electronic ISSN: 1469-2120
    Topics: Mathematics
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  • 7
    Publication Date: 2014-10-22
    Description: We present a first determination of distances and extinctions for individual stars in the first release of the APOKASC catalogue, built from the joint efforts of the Apache Point Observatory Galactic Evolution Experiment ( APOGEE ) and the Kepler Asteroseismic Science Consortium (KASC). Our method takes into account the spectroscopic constraints derived from the APOGEE Stellar Parameters and Chemical Abundances Pipeline, together with the asteroseismic parameters from KASC. These parameters are then employed to estimate intrinsic stellar properties, including absolute magnitudes, using the Bayesian tool param . We then find the distance and extinction that best fit the observed photometry in Sloan Digital Sky Survey (SDSS), 2MASS, and WISE passbands. The first 1989 giants targetted by APOKASC are found at typical distances between 0.5 and 5 kpc, with individual uncertainties of just ~1.8 per cent. Our extinction estimates are systematically smaller than provided in the Kepler Input Catalogue and by the Schlegel et al. maps. Distances to individual stars in the NGC 6791 and NGC 6819 star clusters agree to within their credible intervals. Comparison with the APOGEE red clump and SAGA catalogues provide another useful check, exhibiting agreement with our measurements to within a few per cent. Overall, present methods seem to provide excellent distance and extinction determinations for the bulk of the APOKASC sample. Approximately one third of the stars present broad or multiple-peaked probability density functions and hence increased uncertainties. Uncertainties are expected to be reduced in future releases of the catalogue, when a larger fraction of the stars will have seismically determined evolutionary status classifications.
    Print ISSN: 0035-8711
    Electronic ISSN: 1365-2966
    Topics: Physics
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  • 8
    Publication Date: 2014-05-25
    Description: Structural variation, including variation in gene copy number and presence or absence of genes, is a widespread and important source of genomic variation. We used whole-genome DNA sequences from 48 strains of Sinorhizobium (recently renamed Ensifer ), including 20 strains of Sinorhizobium meliloti and 12 strains of S. medicae that were the focus of the analyses, to study the fitness effects of new structural variants created by duplication and horizontal gene transfer. We find that derived duplicated and horizontally transferred (HT) genes segregate at lower frequency than synonymous and nonsynonymous nucleotide variants in S. meliloti and S. medicae . Furthermore, the relative frequencies of different types of variants are more similar in S. medicae than in S. meliloti , the species with the larger effective population size . These results are consistent with the hypothesis that most duplications and HT genes have deleterious effects. Diversity of duplications, as measured by segregating duplicated genes per gene, is greater than nucleotide diversity, consistent with a high rate of duplication. Our results suggest that the vast majority of structural variants found among closely related bacterial strains are short-lived and unlikely to be involved in species-wide adaptation.
    Electronic ISSN: 1759-6653
    Topics: Biology
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  • 9
    Publication Date: 2014-05-20
    Description: In a chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq) experiment, an important consideration in experimental design is the minimum number of sequenced reads required to obtain statistically significant results. We present an extensive evaluation of the impact of sequencing depth on identification of enriched regions for key histone modifications (H3K4me3, H3K36me3, H3K27me3 and H3K9me2/me3) using deep-sequenced datasets in human and fly. We propose to define sufficient sequencing depth as the number of reads at which detected enrichment regions increase 〈1% for an additional million reads. Although the required depth depends on the nature of the mark and the state of the cell in each experiment, we observe that sufficient depth is often reached at 〈20 million reads for fly. For human, there are no clear saturation points for the examined datasets, but our analysis suggests 40–50 million reads as a practical minimum for most marks. We also devise a mathematical model to estimate the sufficient depth and total genomic coverage of a mark. Lastly, we find that the five algorithms tested do not agree well for broad enrichment profiles, especially at lower depths. Our findings suggest that sufficient sequencing depth and an appropriate peak-calling algorithm are essential for ensuring robustness of conclusions derived from ChIP-seq data.
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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  • 10
    Publication Date: 2012-08-08
    Description: Alterations in DNA methylation have been reported to occur during development and aging; however, much remains to be learned regarding post-natal and age-associated epigenome dynamics, and few if any investigations have compared human methylome patterns on a whole genome basis in cells from newborns and adults. The aim of this study was to reveal genomic regions with distinct structure and sequence characteristics that render them subject to dynamic post-natal developmental remodeling or age-related dysregulation of epigenome structure. DNA samples derived from peripheral blood monocytes and in vitro differentiated dendritic cells were analyzed by methylated DNA Immunoprecipitation (MeDIP) or, for selected loci, bisulfite modification, followed by next generation sequencing. Regions of interest that emerged from the analysis included tandem or interspersed-tandem gene sequence repeats (PCDHG , FAM90A , HRNR, ECEL1P2 ), and genes with strong homology to other family members elsewhere in the genome ( FZD1, FZD7 and FGF17 ). Our results raise the possibility that selected gene sequences with highly homologous copies may serve to facilitate, perhaps even provide a clock-like function for, developmental and age-related epigenome remodeling. If so, this would represent a fundamental feature of genome architecture in higher eukaryotic organisms.
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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