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  • Data  (41)
  • 2020-2024  (16)
  • 2015-2019  (19)
  • 1995-1999  (5)
  • 1960-1964  (1)
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Keywords
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Year
  • 1
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    Distribution models for mountain plant species: The value of elevation (2015)
    PANGAEA
    In:  Supplement to: Oke, Oluwatobi A; Thompson, Ken A (2015): Distribution models for mountain plant species: The value of elevation. Ecological Modelling, 301, 72-77, https://doi.org/10.1016/j.ecolmodel.2015.01.019
    Details
    Publication Date: 2023-01-13
    Description: The climatic conditions of mountain habitats are greatly influenced by topography. Large differences in microclimate occur with small changes in elevation, and this complex interaction is an important determinant of mountain plant distributions. In spite of this, elevation is not often considered as a relevant predictor in species distribution models (SDMs) for mountain plants. Here, we evaluated the importance of including elevation as a predictor in SDMs for mountain plant species. We generated two sets of SDMs for each of 73 plant species that occur in the Pacific Northwest of North America; one set of models included elevation as a predictor variable and the other set did not. AUC scores indicated that omitting elevation as a predictor resulted in a negligible reduction of model performance. However, further analysis revealed that the omission of elevation resulted in large over-predictions of species' niche breadths—this effect was most pronounced for species that occupy the highest elevations. In addition, the inclusion of elevation as a predictor constrained the effects of other predictors that superficially affected the outcome of the models generated without elevation. Our results demonstrate that the inclusion of elevation as a predictor variable improves the quality of SDMs for high-elevation plant species. Because of the negligible AUC score penalty for over-predicting niche breadth, our results support the notion that AUC scores alone should not be used as a measure of model quality. More generally, our results illustrate the importance of selecting biologically relevant predictor variables when constructing SDMs.
    Type: Dataset
    Format: text/plain, 11.5 kBytes
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  • 2
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    MODIS derived, gap-filled and daily snow cover observations for the Australian Alps from 2000 - 2014 (2017)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Keywords: Australia; Australian_Alps; File content; File format; File name; File size; SAT; Satellite remote sensing; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 3
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    Surface topography and velocities of Ngozumpa Glacier, Nepal, with links to GeoTIFFs (2017)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Description: The dataset consists of: three orthophotos and DEMs derived from Stereo Geo-Eye and Worldview imagery; and two velocity maps derived from TerraSAR-X imagery. The DEM-orthophoto pairs cover the debris-covered tongue of Ngozumpa Glacier at 5m horizontal resolution for 9 June 2010 (GeoEye-1), 23 December 2012 (GeoEye-1) and 5 January 2015 (WorldView-3). The 'annual' velocity map is based on feature tracking on images acquired on 29 January 2015 and 5 January 2016. The 'velocity difference' map shows the difference between the 'annual' values and velocities derived from images covering a minimal 'winter' period: 19 September 2014 to 18 January 2015.
    Keywords: DATE/TIME; File name; File size; Nepal; Ngozumpa_Glacier_DEM; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 24 data points
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  • 4
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    Sporomorph counts, diversity, DCA and climate estimate calculations from ODP Hole 113-696B (2021)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: A total of 35 samples from the late-middle Eocene to earliest Oligocene (643.73-520.88 mbsf) were analysed for their pollen and spore content. Slides were analysed using a Leica DM500 and Leica DM2000 transmitted light microscopes at 200x and 1000x magnification. Where possible, counts of 300 (excluding reworked grains) sporomorphs were made. Only samples containing 50 or more in situ sporomorphs were used for further analysis and evaluation. Sporomorph diversity was measured using both the Shannon–Wiener index and the observed number of taxa. A rarefaction method for sums of ≥50 and ≥100 grains was applied, so that the effect caused by differences in the sample size may be removed allowing the estimation of the number of sporomorph species at a constant sample size. Detrended Correspondence Analysis (DCA) was performed, with downweighting of rare species by removing pollen types whose representation is 〈5%. Estimates for terrestrial mean annual temperature (MAT), mean annual precipitation (MAP), warmest month mean temperature (WMMT) and coldest month mean temperature (CMMT) were obtained using the NLR approach in conjunction with the Probability Density Function (PDF) method.
    Keywords: Antarctica; Drake Passage; Eocene-Oligocene Transition; palynology
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 5
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    Concentration of dust particles 〉 0.5 micron in the Byrd ice core (1999)
    PANGAEA
    Details
    Publication Date: 2023-06-27
    Keywords: Byrd; Coulter counter; DEPTH, ice/snow; Dust particles; ICEDRILL; Ice drill
    Type: Dataset
    Format: text/tab-separated-values, 1599 data points
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  • 6
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    Concentration of dust particles 〉 0.8 micron in the Byrd ice core (1999)
    PANGAEA
    Details
    Publication Date: 2023-06-27
    Keywords: Byrd; Coulter counter; DEPTH, ice/snow; Dust particles; ICEDRILL; Ice drill
    Type: Dataset
    Format: text/tab-separated-values, 1599 data points
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  • 7
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    Raw pollen and sporen counts from ODP Hole 113-696B (2021)
    PANGAEA
    Details
    Publication Date: 2023-06-27
    Keywords: 113-696B; Acaena spp.; AGE; Alisporites cf. Australis; Antarctica; Araucariacites australis; Arecipites spp.; Baculatisporites comaumensis; Beaupreaidites cf. verrucosus; Beaupreaidites diversiformis; Camarozonosporites sp.; Ceratosporites cf. equalis; Chenopodipollis chenopodiaceoides; Clavatipollenites ascarinoides; Coptospora archangelskyi; Counting, light microscope; Cupanieidites orthoteichus; Cyathidites australis; Cyathidites minor; Cyathidites splendens; Cyathidites subtilis; Dacrydiumites florinii; DEPTH, sediment/rock; Dictyophyllidites arcuatus; Dilwynites granulatus; Drake Passage; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Eocene-Oligocene Transition; Ericipites cf. scabratus; Foveotriletes lacunosus; Gleicheniidites spp.; Integricorpus sp.; Ischyosporites gremius; Joides Resolution; Laevigatosporites major; Laevigatosporites ovatus; Lateropora glabra; Leg113; Ligulifloridites sp.; Liliacidites intermedius; Lymingtonia cf. cenozoica; Malvacipollis cf. subtilis; Microalatidites paleogenicus; Microcachryidites antarcticus; Monolites alveolatus; Myricipites harrisii; Myrtaceidites cf. mesonesus; Nothofagidites asperus complex; Nothofagidites brachyspinulosus complex; Nothofagidites emarcidus complex; Nothofagidites flemingii; Nothofagidites lachlaniae complex; Nothofagidites rocaensis complex; Nothofagidites spp.; Osmundacidites cf. wellmanii; palynology; Parsonsidites psilatus; Peninsulapollis gillii; Periporopollenites polyoratus; Peromonolites cf. densus; Phyllocladidites cf. mawsonii; Phyllocladidites mawsonii; Podocarpidites cf. exiguus; Podocarpidites marwickii complex; Podocarpidites rugulatus complex; Podocarpidites spp.; Podosporites cf. brevisaccatus; Podosporites cf. ohikaensis; Podosporites parvus; Pollen and spores; Polycolporopollenites; Polypodiisporites cf. radiatus; Proteacidites adenanthoides; Proteacidites cf. amolosexinus; Proteacidites cf. Lewalanipollis trycheros; Proteacidites cf. Scabratriporites spp.; Proteacidites minimus; Proteacidites obscurus; Proteacidites parvus; Proteacidites reticuloscabratus; Proteacidites scaboratus; Proteacidites sp.; Proteacidites spiniferus; Proteacidites tenuiexinus; Proteacidites tuberculatus; Retitriletes spp.; Rugulatisporites spp.; Sample code/label; Scabramonoletes; Sparganiaceaepollenites barungensis; Stereisporites antiquasporites; Stereisporites regium; Trichotomosulcites subgranulatus; Tricolpites cf. asperamarginis; Tricolpites cf. brevicolpus; Tricolpites cf. delicatulus; Tricolpites fissilis; Tricolpites inargutus; Tricolpites lilliei; Tricolpites reticulatus; Tricolpites sp.; Tricolpites spp.; Tricolporites cf. scabratus; Tricolporites sp.; Triorites sp.; Tripunctisporis maastrichtiensis; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 3535 data points
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  • 8
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    Reworked pollen and sporen counts from ODP Hole 113-696B (2021)
    PANGAEA
    Details
    Publication Date: 2023-06-27
    Keywords: 113-696B; AGE; Antarctica; Biretisporites cf. labruplenus; Brevitriletes bulliensis; Brevitriletes sp.; Calamospora spp.; Cibotiumspora cf. intrastriatus; Cicatricosisporites sp.; Classopollis spp.; Clavatipollenites hughesii; Coptospora striata; Counting, light microscope; Cyatheacidites annulatus; DEPTH, sediment/rock; Dictyophyllidites cf. harrisii; Drake Passage; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Eocene-Oligocene Transition; Granulatisporites trisinus; Joides Resolution; Leg113; Leptolepidites verrucatus; Lycopodiacidites cf. bullerensis; Lycopodiacidites cristatus; Lycopodiumsporites pseudoreticulatus; palynology; Pollen, bisaccate undifferentiated; Pollen and spores; Protohaploxypinus cf. samoilovichii; Protohaploxypinus spp.; Retitriletes cf. eminulus; Retitriletes cf. reticulumsporites; Rugulatisporites cf. trisinus; Sample code/label; Spores, trilete undifferentiated; Tricolpites cf. pachyexinus; Trilites verrucatus; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 945 data points
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  • 9
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    Diversity, DCA and climate estimate calculations from ODP Hole 113-696B (2021)
    PANGAEA
    Details
    Publication Date: 2023-06-27
    Keywords: 113-696B; AGE; Antarctica; Calculated; Correspondance analysis factor; DEPTH, sediment/rock; Detrended Correspondence Analysis; Drake Passage; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Eocene-Oligocene Transition; Joides Resolution; Leg113; palynology; Precipitation, annual mean; Precipitation, annual mean, standard deviation; Rarefaction; Sample code/label; Shannon Diversity Index; Temperature, annual mean; Temperature, annual mean, standard deviation; Temperature, coldest month; Temperature, coldest month, standard deviation; Temperature, warmest month; Temperature, warmest month, standard deviation; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 368 data points
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  • 10
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    Regional vegetation changes in the tropical Andes expressed as arboreal pollen (AP%), standardised ordination scores (DCA z-scores), and aquatic vegetation ratios (D/SS); files used for plots (2016)
    PANGAEA
    In:  Supplement to: Urrego, Dunia H; Hooghiemstra, Henry; Rama-Corredor, O; Martrat, Belén; Grimalt, Joan O; Thompson, L (2015): Rapid millennial-scale vegetation changes in the tropical Andes. Climate of the Past Discussions, 11(3), 1701-1739, https://doi.org/10.5194/cp-12-697-2016
    Details
    Publication Date: 2023-07-20
    Description: We compare eight pollen records reflecting climatic and environmental change from the tropical Andes. Our analysis focuses on the last 50 ka, with particular emphasis on the Pleistocene to Holocene transition. We explore ecological grouping and downcore ordination results as two approaches for extracting environmental variability from pollen records. We also use the records of aquatic and shoreline vegetation as markers for lake level fluctuations, and precipitation change. Our analysis focuses on the signature of millennial-scale variability in the tropical Andes, in particular, Heinrich stadials and Greenland interstadials. We identify rapid responses of the tropical vegetation to this climate variability, and relate differences between sites to moisture sources and site sensitivity.
    Keywords: South America; Tropical_Andes
    Type: Dataset
    Format: application/zip, 228.1 kBytes
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