2024-03-29T01:15:29Zhttp://doidb.wdc-terra.org/oaip/oaioai:doidb.wdc-terra.org:65602019-04-18T17:24:38ZDOIDBDOIDB.GFZ
10.5880/GFZ.5.2.2018.001
Blanchet, Cécile L.
Cécile L.
Blanchet
0000-0002-7146-705X
GFZ German Research Centre for Geosciences, Potsdam, Germany
A global database of radiogenic Nd and Sr isotopes in marine and terrestrial samples
GFZ Data Services
2018
Neodymium radioisotopes
Strontium radioisotopes
Mapping tool
EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION > STATISTICAL APPLICATIONS
EARTH SCIENCE > SOLID EARTH > GEOCHEMISTRY > GEOCHEMICAL PROPERTIES > ISOTOPE RATIOS
EARTH SCIENCE > PALEOCLIMATE > OCEAN/LAKE RECORDS > ISOTOPES
EARTH SCIENCE > PALEOCLIMATE > PALEOCLIMATE RECONSTRUCTIONS > DROUGHT/PRECIPITATION RECONSTRUCTION
EARTH SCIENCE > PALEOCLIMATE > LAND RECORDS > SEDIMENTS
EARTH SCIENCE > LAND SURFACE > EROSION/SEDIMENTATION > SEDIMENT TRANSPORT
EARTH SCIENCE > LAND SURFACE > EROSION/SEDIMENTATION > EROSION
Blanchet, Cécile L.
Cécile L.
Blanchet
0000-0002-7146-705X
GFZ German Research Centre for Geosciences, Potsdam, Germany
Blanchet, Cécile L.
Cécile L.
Blanchet
0000-0002-7146-705X
GFZ German Research Centre for Geosciences, Potsdam, Germany
Blanchet, Cécile L.
Cécile L.
Blanchet
0000-0002-7146-705X
GFZ German Research Centre for Geosciences, Potsdam, Germany
2018-08
en
10.1016/j.epsl.2013.08.028
10.6084/m9.figshare.6990161.v3
10.6084/m9.figshare.6990260.v3
10.1016/j.epsl.2008.10.028
10.1016/j.gca.2015.08.001
10.1371/journal.pone.0115958
10.1016/j.quascirev.2010.12.005
10.1016/j.epsl.2015.12.014
10.1016/j.margeo.2007.09.003
10.1016/j.epsl.2008.12.011
10.1016/0016-7037(69)90153-7
10.1016/j.epsl.2006.07.002
10.1029/2008PA001706
10.1016/S0025-3227(01)00123-2
10.1016/0009-2541(86)90126-9
10.1016/0012-821X(84)90007-4
10.1016/j.chemgeo.2005.05.006
10.1016/j.chemgeo.2016.09.001
10.1016/0304-4203(90)90083-O
10.1016/0031-0182(92)90097-O
10.1016/0012-821X(88)90001-5
10.1016/S0277-3791(97)00048-6
10.1029/2006GC001441
10.1016/0304-4203(94)90075-2
10.1016/S0012-821X(04)00095-0
10.1016/0016-7061(95)00004-8
10.1016/j.gca.2011.03.042
10.1016/j.quascirev.2017.09.004
10.1016/j.quascirev.2015.10.030
10.1016/j.quascirev.2010.02.006
10.1007/s10113-014-0588-x
10.1029/2011GC003523
10.1046/j.1365-3091.1996.d01-8.x
10.1029/2011JD016173
10.1016/j.epsl.2007.06.008
10.1016/j.gca.2004.01.024
10.1016/S0012-821X(99)00127-2
10.1016/j.quascirev.2016.09.029
10.1016/j.earscirev.2012.08.005
10.1130/0091-7613(2002)030%3C0071:NRSFOT%3E2.0.CO;2
10.1016/S0025-3227(99)00015-8
10.1016/S0025-3227(98)00130-3
10.1016/j.epsl.2011.10.007
10.1073/pnas.0804472105
10.1016/j.epsl.2013.09.013
10.1016/j.epsl.2011.10.002
10.1002/2015GC006080
10.1016/S0016-7037(02)00954-7
10.1016/S0009-2541(01)00415-6
10.5194/essd-2018-109
10.5880/GFZ.4.3.2019.001
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5 Files
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CC BY 4.0
The database presented here contains radiogenic neodymium and strontium isotope ratios measured on both terrestrial and marine sediments. It was compiled to help assessing sediment provenance and transport processes for various time intervals. This can be achieved by either mapping sediment isotopic signature and/or fingerprinting source areas using statistical tools (see supplemental references).
The database has been built by incorporating data from the literature and the SedDB database and harmonizing the metadata, especially units and geographical coordinates. The original data were processed in three steps. Firstly, a specific attention has been devoted to provide geographical coordinates to each sample in order to be able to map the data. When available, the original geographical coordinates from the reference (generally DMS coordinates, with different precision standard) were transferred into the decimal degrees system. When coordinates were not provided, an approximate location was derived from available information in the original publication. Secondly, all samples were assigned a set of standardized criteria that help splitting the dataset in specific categories. We defined categories associated with the sample location ("Region", "Sub-region", "Location", which relate to location at continental to city/river scale) or with the sample types (terrestrial samples – “aerosols”, “soil sediments”, “river sediments” - or marine samples –“marine sediment” or “trap sample”). Thirdly, samples were discriminated according to their deposition age, which allowed to compute average values for specific time intervals (see attached table "Age_determination_Sediment_Cores.csv"). The dataset will be updated bi-annually and might be extended to reach a global geographical extent and/or add other type of samples.
This dataset contains two csv tables: "Dataset_Nd_Sr_isotopes.csv" and "Age_determination_Sediment_Cores.csv". "Dataset_Nd_Sr_isotopes.csv" contains the assembled dataset of marine and terrestrial Nd and/or Sr concentration and isotopes, together with sorting criteria and geographical locations. "Age_determination_Sediment_Cores.csv" contains all background information concerning the determination of the isotopic signature of specific time intervals (depth interval, number of samples, mean and standard deviation). Column headers are explained in respective metadata comma-separated files. A human readable data description is provided in portable document format, as well. Finally, R code for mapping the data and running statistical analyses is also available for this dataset (see supplemental references).
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Africa and Europe sectors