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  • Data  (31)
  • 2015-2019  (31)
  • 2019  (31)
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  • 2015-2019  (31)
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  • 1
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Davis, Ashley N; Davis, Catherine V; Thunell, Robert C; Osborne, Emily B; Black, David E; Benitez-Nelson, Claudia R (2019): Reconstructing 800 Years of Carbonate Ion Concentration in the Cariaco Basin Using the Area Density of Planktonic Foraminifera Shells. Paleoceanography and Paleoclimatology, 34(12), 2129-2140, https://doi.org/10.1029/2019PA003698
    Publication Date: 2023-01-13
    Description: Record of Cariaco Basin near-surface [CO₃²⁻] from 1240-2007 C.E. derived from the area-density (shell weight (μg)/shell area (μm²)) of the planktonic foraminifer Globigerinoides ruber (pink). Area-density is used as a proxy for [CO₃²⁻] following the relationship presented in Marshall et al. (2013), using the two cores PL07-71-BC and CAR25-1
    Keywords: Age; Area in square milimeter; CAR25-1; Carbonate ion; CDRILL; Core drilling; Depth, bottom/max; Depth, top/min; Event label; Globigerinoides ruber pink; Globigerinoides ruber pink, density, standard deviation; Globigerinoides ruber pink, density per area; Globigerinoides ruber pink, weight; PL07-71-BC; Sample ID
    Type: Dataset
    Format: text/tab-separated-values, 721 data points
    Location Call Number Expected Availability
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  • 2
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Phelps, Leanne N; Broennimann, Olivier; Manning, Katie; Timpson, Adrian; Jousse, Hélène; Mariethoz, Gregoire; Fordham, Damien A; Shanahan, Timothy M; Davis, Basil A S; Guisan, Antoine (2020): Reconstructing the climatic niche breadth of land use for animal production during the African Holocene. Global Ecology and Biogeography, 29(1), 127-147, https://doi.org/10.1111/geb.13015
    Publication Date: 2023-01-30
    Description: This dataset is associated with Phelps et al. (2019) and is comprised of archaeological information from Holocene faunal assemblages in Africa, including assemblage, radiocarbon and taxonomic information. This dataset was modified from Jousse 2017 and associated datasets compiled by H. Jousse.
    Keywords: African Holocene; animal production; archaeology; faunal remains; historic land use; husbandry; land use; niche breadth; prehistoric land use
    Type: Dataset
    Format: application/zip, 97.3 kBytes
    Location Call Number Expected Availability
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  • 3
    Publication Date: 2023-01-30
    Description: Movies: for all mapped movies (movie S1 - S6): white circles indicate the presence of a pollen record; blue dots indicate archaeological remains of wild terrestrial ungulates; and red dots indicate the remains of domestic animals. The distribution of the faunal remains was based on summed probability distributions of radiocarbon dates at 100-year time intervals (see Phelps et al. in press for further methodological information). Movie S1a: The climatic envelope of forest mapped at 100-year intervals, using the direct methodology with WorldClim data (black background). Movie S1b: The climatic envelope of forest mapped at 100-year intervals, using the direct methodology with WorldClim data (white background). Movie S1c: The climatic envelope of forest mapped at 100-year intervals, using the direct methodology with TraCE-21ka climate information (black background). Movie S1d: The climatic envelope of forest taxa mapped at 100-year intervals, using the direct methodology with TraCE-21ka climate information (white background). Movie S1e: The climatic envelope of forest taxa mapped at 100-year intervals, using the indirect methodology, WorldClim data (black background). Movie S1f: The climatic envelope of forest taxa mapped at 100-year intervals, using the indirect methodology, WorldClim data (white background). Movie S1g: The climatic envelope of forest taxa mapped at 100-year intervals, using the indirect methodology, TraCE-21ka climate information (black background). Movie S1h: The climatic envelope of forest taxa mapped at 100-year intervals, using the indirect methodology, TraCE-21ka climate information (white background). ______________________________________________________________________________________ Movie S2a: The climatic envelope of grassy biomes (savanna- and steppe-associated taxa) mapped at 100-year intervals, using the direct methodology with WorldClim data (black background). Movie S2b: The climatic envelope of grassy biomes (savanna- and steppe-associated taxa) mapped at 100-year intervals, using the direct methodology with WorldClim data (white background). Movie S2c: The climatic envelope of grassy biomes (savanna- and steppe-associated taxa) mapped at 100-year intervals, using the direct methodology with TraCE-21ka climate information (black background). Movie S2d: The climatic envelope of grassy biomes (savanna- and steppe-associated taxa) mapped at 100-year intervals, using the direct methodology with TraCE-21ka climate information (white background). ______________________________________________________________________________________ Movie S3a: The climatic envelope of savanna-associated taxa mapped at 100-year intervals, using the indirect methodology, WorldClim data (black background). Movie S3b: The climatic envelope of savanna-associated taxa mapped at 100-year intervals, using the indirect methodology, WorldClim data (white background). Movie S3c: The climatic envelope of savanna-associated taxa mapped at 100-year intervals, using the indirect methodology, TraCE-21ka climate information (black background). Movie S3d: The climatic envelope of savanna-associated taxa mapped at 100-year intervals, using the indirect methodology, TraCE-21ka climate information (white background). ______________________________________________________________________________________ Movie S4a: The climatic envelope of steppe-associated taxa mapped at 100-year intervals, using the indirect methodology, WorldClim data (black background). Movie S4b: The climatic envelope of steppe-associated taxa mapped mapped at 100-year intervals, using the indirect methodology, WorldClim data (white background). Movie S4c: The climatic envelope of steppe-associated taxa mapped mapped at 100-year intervals, using the indirect methodology, TraCE-21ka climate information (black background). Movie S4d: The climatic envelope of steppe-associated taxa mapped mapped at 100-year intervals, using the indirect methodology, TraCE-21ka climate information (white background). ______________________________________________________________________________________ Movie S5a: The climatic envelope of desert-associated taxa mapped mapped at 100-year intervals, using the direct methodology with WorldClim data (black background). Movie S5b: The climatic envelope of desert-associated taxa mapped at 100-year intervals, using the direct methodology with WorldClim data (white background). Movie S5c: The climatic envelope of desert-associated taxa mapped at 100-year intervals, using the direct methodology with TraCE-21ka climate information (black background). Movie S5d: The climatic envelope of desert-associated taxa mapped at 100-year intervals, using the direct methodology with TraCE-21ka climate information (white background). Movie S5e: The climatic envelope of desert-associated taxa mapped at 100-year intervals, using the indirect methodology, WorldClim data (black background). Movie S5f: The climatic envelope of desert-associated taxa mapped at 100-year intervals, using the indirect methodology, WorldClim data (white background). Movie S5g: The climatic envelope of desert-associated taxa mapped at 100-year intervals, using the indirect methodology, TraCE-21ka climate information (black background). Movie S5h: The climatic envelope of desert-associated taxa mapped at 100-year intervals, using the indirect methodology, TraCE-21ka climate information (white background). ______________________________________________________________________________________ Movie S6a: The climatic envelope of xeric-associated taxa mapped at 100-year intervals, using the direct methodology with WorldClim data (black background). Movie S6b: The climatic envelope of xeric-associated taxa mapped at 100-year intervals, using the direct methodology with WorldClim data (white background). Movie S6c: The climatic envelope of xeric-associated taxa mapped at 100-year intervals, using the direct methodology with TraCE-21ka climate information (black background). Movie S6d: The climatic envelope of xeric-associated taxa mapped at 100-year intervals, using the direct methodology with TraCE-21ka climate information (white background). Movie S6e: The climatic envelope of xeric-associated taxa mapped at 100-year intervals, using the indirect methodology, WorldClim data (black background). Movie S6f: The climatic envelope of xeric-associated taxa mapped at 100-year intervals, using the indirect methodology, WorldClim data (white background). Movie S6g: The climatic envelope of xeric-associated taxa mapped at 100-year intervals, using the indirect methodology, TraCE-21ka climate information (black background). Movie S6h: The climatic envelope of xeric-associated taxa mapped at 100-year intervals, using the indirect methodology, TraCE-21ka climate information (white background). ______________________________________________________________________________________ Movie S7a: Multivariate environmental similarity surface (MESS) analyses plotted in geographic space using the direct methodology with repeated, modern-day WorldClim data. White areas demonstrate neutrality: i.e., neither similarity nor dissimilarity. Movie S7b: Multivariate environmental similarity surface (MESS) analyses plotted in geographic space using the direct methodology with TraCE-21ka climate information. White areas demonstrate neutrality: i.e., neither similarity nor dissimilarity. Movie S7c: Multivariate environmental similarity surface (MESS) analyses plotted in geographic space using the indirect methodology with repeated, modern-day WorldClim data. White areas demonstrate neutrality: i.e., neither similarity nor dissimilarity. Movie S7d: Multivariate environmental similarity surface (MESS) analyses plotted in geographic space using the indirect methodology with TraCE-21ka climate information. White areas demonstrate neutrality: i.e., neither similarity nor dissimilarity. ______________________________________________________________________________________ Movie S8a: Climatic envelope overlap between forest and grassy biomes (savanna and steppe) plotted in climate space. Envelopes were generated using the direct methodology and TraCE-21ka climate information. Red areas indicate the presence of grassy biomes only, whereas purple indicates overlap between grassy biomes and forest. For reference to the climatic variables used to define the climate space, see the TraCE-21ka correlation circle in figure A2. Movie S8b: Climatic envelope overlap between forest and savanna only, plotted in climate space. Envelopes were generated using the indirect methodology and TraCE-21ka climate information. Red areas indicate the presence of savanna only, whereas purple indicates overlap between savanna and forest. For reference to the climatic variables used, see the TraCE-21ka correlation circle in figure A2.
    Keywords: African Humid Period; biomization scheme; disturbance dynamics; ecosystem response to climate change; File content; File format; File name; File size; land use and land cover change; palynology; PFT; reconstructing vegetation change; subfossil pollen records; Uniform resource locator/link to file; vegetation-environment interactions
    Type: Dataset
    Format: text/tab-separated-values, 210 data points
    Location Call Number Expected Availability
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  • 4
    Publication Date: 2023-02-12
    Description: The Eurasian Modern Pollen Database (EMPD) contains modern pollen data (raw counts) for the entire Eurasian continent. Derived from the European Modern Pollen Database, the dataset contains many more samples West of the Ural Mountains. We propose this dataset in three different format: 1/ an Excel spreadsheet, 2/ a PostgreSQL dump and 3/ a SQLite3 portable database format. All three datasets are strictly equivalent. For download see "Original Version".
    Keywords: AlbaSanchez_EMPD; Andorra; Antipina_EMPD; Atanassova_EMPD; Austria; Bakker_EMPD; Barboni_EMPD; Beaudouin_EMPD; Binney2017_EMPD; Bjune_EMPD; Blyakharchuk_EMPD; Bulgaria; Bunting_EMPD; Champvillair_EMPD; Colombaroli_EMPD; Connor_EMPD; Czech Republic; Dambach_EMPD; Denmark; Desprat_EMPD; Di_EMPD; Djamali_EMPD; Edwards_EMPD; Ejarque_EMPD; ELEVATION; EMBSECBIO_EMPD; EPDcoretop_EMPD; Estonia; Eurasia; Event label; Fall_EMPD; Feurdean_EMPD; Finland; Finsinger_EMPD; Fletcher_EMPD; France; Furlanetto_EMPD; Galka_EMPD; Georgia; Germany; Grant_EMPD; Greece; Greenland; Hallsdottir_EMPD; Hjelle_EMPD; Iceland; India; Iran, Islamic Republic Of; Ireland; Italy; Jahns_EMPD; Japan; Jimenez-Moreno_EMPD; Joannin_EMPD; Jordan; Karpinska_EMPD; Kazakhstan; Klemm_EMPD; Knaap_EMPD; Kolaczek_EMPD; Kuehl_EMPD; Kunes_EMPD; Kyrgyzstan; Lapteva_EMPD; LATITUDE; Latvia; Lazarova_EMPD; Leipe_EMPD; Leroy_EMPD; LONGITUDE; Lopatina_EMPD; Lopez_EMPD; Matthias_EMPD; Mazier_EMPD; Meltsov_EMPD; Mercuri_EMPD; Mikishin-Gvozdeva_EMPD; Milecka_EMPD; Miras_EMPD; Mitchell_EMPD; modern samples; Montanari_EMPD; Morales_EMPD; Mrotzek_EMPD; Muller_EMPD; MunozSobrino_EMPD; Naidina_EMPD; Nakagawa_EMPD; Naughton_EMPD; Nielsen_EMPD; Niemeyer_EMPD; Norway; Novenko_EMPD; Odgaard_EMPD; Ortu_EMPD; Overballe_EMPD; Panajiotidis_EMPD; Panova_EMPD; Pardoe_EMPD; Pedziszewska_EMPD; Pidek_EMPD; Poland; pollen; Portugal; Precipitation, annual total; Precipitation, April; Precipitation, August; Precipitation, autumn; Precipitation, December; Precipitation, February; Precipitation, January; Precipitation, July; Precipitation, June; Precipitation, March; Precipitation, May; Precipitation, November; Precipitation, October; Precipitation, September; Precipitation, spring; Precipitation, summer; Precipitation, winter; raw counts; Remazani_EMPD; Roesch_EMPD; Romania; Russian Federation; Ryabogina_EMPD; Sadori_EMPD; Salonen_EMPD; Sample ID; Schofield_EMPD; Seppa_EMPD; Severova_EMPD; Shaw_EMPD; Shumilovskikh_EMPD; Spain; Stivrins_EMPD; Stojakowits_EMPD; Svobodova_EMPD; Swieta_EMPD; Switzerland; Tantau_EMPD; Temperature, air, annual mean; Temperature, air, April; Temperature, air, August; Temperature, air, autumn; Temperature, air, December; Temperature, air, February; Temperature, air, January; Temperature, air, July; Temperature, air, June; Temperature, air, March; Temperature, air, May; Temperature, air, November; Temperature, air, October; Temperature, air, September; Temperature, air, spring; Temperature, air, summer; Temperature, air, winter; Theuerkauf_EMPD; Tinner_EMPD; Tonkov_EMPD; Tunisia; Turkey; United Kingdom; Zimny_EMPD
    Type: Dataset
    Format: text/tab-separated-values, 287840 data points
    Location Call Number Expected Availability
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  • 5
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Davis, Catherine V; Fuqua, Lauren; Pride, Carol; Thunell, Robert C (2019): Seasonal and interannual changes in planktic foraminiferal fluxes and species composition in Guaymas Basin, Gulf of California. Marine Micropaleontology, 149, 75-88, https://doi.org/10.1016/j.marmicro.2019.05.001
    Publication Date: 2023-02-12
    Description: Paleoclimate records based on planktic foraminifera shells are reliant upon an understanding of how populations respond to annual and interannual changes in surface hydrography. In particular, annual and interannual flux variability would be expected to impact the interpretation of geochemical proxies from foraminifera shells. A seven-year time series from Guaymas Basin, Gulf of California reveals a seasonal progression of foraminiferal species flux, with faunal assemblages characteristic of winter, summer, and fall conditions. We find that both species abundances and phenology are altered during negative El Niño Southern Oscillation (ENSO) phases, as occurred over the course of the study period.
    Keywords: DATE/TIME; Foraminifera, planktic, flux; Foraminifera, planktic, other, flux; foraminifera flux; Globigerina bulloides, flux; Globigerinita glutinata, flux; Globigerinoides conglobatus, flux; Globigerinoides ruber, flux; Globigerinoides sacculifer, flux; Globorotalia menardii, flux; Globoturborotalita rubescens, flux; GOC_trap; Guaymas Basin; Guaymas Basin, Gulf of California; Gulf of California; Neogloboquadrina dutertrei, flux; Pulleniatina obliquiloculata, flux; Sample ID; sediment trap; Trap, sediment; TRAPS
    Type: Dataset
    Format: text/tab-separated-values, 1944 data points
    Location Call Number Expected Availability
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  • 6
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Schaffer, Janin; Kanzow, Torsten; von Appen, Wilken-Jon; von Albedyll, Luisa; Arndt, Jan Erik; Roberts, David H (2020): Bathymetry constrains ocean heat supply to Greenland's largest glacier tongue. Nature Geoscience, 13(3), 227-231, https://doi.org/10.1038/s41561-019-0529-x
    Publication Date: 2023-11-24
    Description: As an update to the RTopo-2.0.1 data set (https://doi.org/10.1594/PANGAEA.856844), RTopo-2.0.4 contains new original bathymetry data for the Northeast Greenland continental shelf. In the Southern Ocean, we added the Rosier et al. (JGR Oceans, 2018) bathymetry grid below Filchner Ice Shelf. This work was supported in part through the Deutsche Forschungsgemeinschaft (DFG) within the Special Priority Program (SPP) 1889 "Regional Sea Level Change and Society" (grant OGreen79), the German Federal Ministry for Education and Research (BMBF) within the GROCE project (Grant 03F0778A), the Natural Environment Research Council (NERC) large grant "Ice shelves in a warming world: Filchner Ice Shelf System" (NE/L013770/1), the NERC project "Greenland in a warmer climate: What controls the advance & retreat of the NE Greenland Ice Stream" (Grant NE/N011228/1), and the Helmholtz Climate Initiative "Regional Climate Change" (REKLIM).
    Keywords: AWI_PhyOce; File format; File name; File size; Greenland - Ice Sheet/Ocean Interaction: From process understanding to an analysis of the regional system; Greenland in a warmer climate: What controls the advance & retreat of the NE Greenland Ice Stream; GROCE; Helmholtz-Verbund Regionale Klimaänderungen = Helmholtz Climate Initiative (Regional Climate Change); Ice shelves in a warming world: Filchner Ice Shelf System; NERC_FISS; NERC_Greenland; Physical Oceanography @ AWI; Priority Programme 1889 Regional Sea Level Change and Society; REKLIM; RTopo; RTopo-2; SPP1889; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 56 data points
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  • 7
    Publication Date: 2023-12-18
    Keywords: Age; AGE; Atlantic meridional overturning circulation; ATLAS; A Trans-Atlantic assessment and deep-water ecosystem-based spatial management plan for Europe; deep water formation; Depth, composite; DEPTH, sediment/rock; Intercore correlation; KNR178-56JPC; PC; Piston corer; smoothed; sortable silt; Sortable-silt mean; subsurface ocean temperatures
    Type: Dataset
    Format: text/tab-separated-values, 369 data points
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  • 8
    Publication Date: 2023-12-18
    Keywords: after Keigwin & Pickart 1999; Age; AGE; Atlantic meridional overturning circulation; ATLAS; A Trans-Atlantic assessment and deep-water ecosystem-based spatial management plan for Europe; deep water formation; DEPTH, sediment/rock; Labrador Sea; Neogloboquadrina pachyderma; OCE326-MC13A; PC; Piston corer; sortable silt; subsurface ocean temperatures
    Type: Dataset
    Format: text/tab-separated-values, 62 data points
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  • 9
    Publication Date: 2023-12-18
    Keywords: Age; AGE; Atlantic meridional overturning circulation; ATLAS; A Trans-Atlantic assessment and deep-water ecosystem-based spatial management plan for Europe; deep water formation; Density; Density, standard anomalies; Labrador_Sea; Labrador Sea; smoothed; sortable silt; subsurface ocean temperatures
    Type: Dataset
    Format: text/tab-separated-values, 200 data points
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  • 10
    Publication Date: 2023-12-18
    Keywords: after Keigwin & Pickart 1999; Age; AGE; Atlantic meridional overturning circulation; ATLAS; A Trans-Atlantic assessment and deep-water ecosystem-based spatial management plan for Europe; deep water formation; DEPTH, sediment/rock; Labrador Sea; Neogloboquadrina pachyderma; OCE326-MC25A; PC; Piston corer; sortable silt; subsurface ocean temperatures
    Type: Dataset
    Format: text/tab-separated-values, 87 data points
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