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Kotilainen, Aarno T; Kotilainen, Mia M; Vartti, Vesa-Pekka; Hutri, Kaisa-Leena; Virtasalo, Joonas J (2021): 137Caesium activity content data of seabed surface sediments from the Gulf of Bothnia, northern Baltic Sea [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.938162

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Abstract:
This dataset includes contents of 137Caesium in surface sediments determined for 1-cm sediment slices of 54 short gravity-cores from the Gulf of Bothnia, northern Baltic Sea. The 137Cs activity of untreated samples was measured by gamma spectrometry using an EG&E Ortec ACE™-2K spectrometer with a four-inch NaI/TI detector at the Geological Survey of Finland (GTK), Espoo. Since 2017, the 137Cs activity of sediment samples has been measured for 60 min using a BrightSpec bMCA-USB pulse height analyser coupled to a well-type NaI(Tl) detector at the Geological Survey of Finland. The 137Cs activity contents are presented per wet weight (Bq kg-1). Samples collected and measured over different years from 2001 to 2019 gave 137Cs values representing discrete time frames during the 18-year sampling/measuring interval, and are not fully, directly comparable. Thus, dataset lists also 137Cs activity content values decay corrected to 2021.
Keyword(s):
137Cs; Chernobyl; sediment; Surface sediment; the Baltic Sea; the Gulf of Bothnia
Related to:
Kotilainen, Aarno T; Kotilainen, Mia M; Vartti, Vesa-Pekka; Hutri, Kaisa-Leena; Virtasalo, Joonas J (2021): Chernobyl still with us: 137Caesium activity contents in seabed sediments from the Gulf of Bothnia, northern Baltic Sea. Marine Pollution Bulletin, 172, 112924, https://doi.org/10.1016/j.marpolbul.2021.112924
Virtasalo, Joonas J; Österholm, Peter; Kotilainen, Aarno T; Åström, Mats E (2020): Enrichment of trace metals from acid sulfate soils in sediments of the Kvarken Archipelago, eastern Gulf of Bothnia, Baltic Sea. Biogeosciences, 17(23), 6097-6113, https://doi.org/10.5194/bg-17-6097-2020
Funding:
Academy of Finland, grant/award no. 292985: SmartSEA - Gulf of Bothnia as Resource for Sustainable Growth
European Regional Development Fund (ERDF), grant/award no. SEAmBOTH: SEAmless Maps and Management of the northern BOTHnian Bay
Executive Agency for Small and Medium-sized Enterprises (EASME), grant/award no. EASME/EMFF/2018/1.3.1.8 - Lot 1/SI2.811048: EMODnet Geology
Coverage:
Median Latitude: 64.194211 * Median Longitude: 22.644561 * South-bound Latitude: 61.068500 * West-bound Longitude: 19.730200 * North-bound Latitude: 65.744600 * East-bound Longitude: 24.458200
Date/Time Start: 2001-09-28T00:00:00 * Date/Time End: 2019-08-09T00:00:00
Minimum DEPTH, sediment/rock: 0.005 m * Maximum DEPTH, sediment/rock: 0.005 m
Event(s):
44-Ge-02  * Latitude: 64.035800 * Longitude: 22.871200 * Date/Time: 2002-07-23T00:00:00 * Elevation: -41.5 m * Location: Gulf of Bothnia * Method/Device: Gravity corer (GC) * Comment: Sampled with RVKaita
45-Ge-02  * Latitude: 63.873100 * Longitude: 23.008800 * Date/Time: 2002-07-24T00:00:00 * Elevation: -12.7 m * Location: Gulf of Bothnia * Method/Device: Gravity corer (GC) * Comment: Sampled with RVKaita
50-Ge-02  * Latitude: 63.240100 * Longitude: 22.040700 * Date/Time: 2002-07-27T00:00:00 * Elevation: -5.0 m * Location: Gulf of Bothnia * Method/Device: Gravity corer (GC) * Comment: Sampled with RVKaita
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Event labelEventKotilainen, Aarno T
IdentificationIDKotilainen, Aarno T
Sample IDSample IDKotilainen, Aarno T
DEPTH, sediment/rockDepth sedmKotilainen, Aarno TGeocode
LATITUDELatitudeKotilainen, Aarno TGeocode
LONGITUDELongitudeKotilainen, Aarno TGeocode
Depth, bathymetricBathy depthmKotilainen, Aarno T
DATE/TIMEDate/TimeKotilainen, Aarno TGeocode
VesselVesselKotilainen, Aarno TRV
10 Caesium-137137CsBq/kgKotilainen, Aarno TGamma spectrometry, NaI(Tl) detectorSurface
11 Caesium-137, decay corrected137Cs dec corrBq/kgKotilainen, Aarno TDecay correctionSurface: decay corrected to 2021
12 Reference/sourceReferenceKotilainen, Aarno T
Status:
Curation Level: Enhanced curation (CurationLevelC) * Processing Level: PANGAEA data processing level 3 (ProcLevel3)
Size:
378 data points

Data

Download dataset as tab-delimited text — use the following character encoding:


Event

ID

Sample ID

Depth sed [m]

Latitude

Longitude

Bathy depth [m]

Date/Time

Vessel
10 
137Cs [Bq/kg]
11 
137Cs dec corr [Bq/kg]
12 
Reference
MGGN-2018-27 1MGGN-2018-27_0_10.00565.744624.34204.02018-07-31Geomari1817.00this study
MGGN-2019-7 2MGGN-2019-7_0_10.00565.739724.32857.02019-08-09Geomari1716.00this study
MGGN-2019-8 3MGGN-2019-8_0_10.00565.737124.19566.02019-08-09Geomari43.80this study
MGGN-2018-26 4MGGN-2018-26_0_10.00565.734224.30407.02018-07-31Geomari2321.00this study
MGGN-2018-22 5MGGN-2018-22_0_10.00565.728024.37597.02018-07-30Geomari10.93this study
MGGN-2018-25 6MGGN-2018-25_0_10.00565.719224.32278.02018-07-31Geomari1615.00this study
MGGN-2018-24 7MGGN-2018-24_0_10.00565.716624.33238.02018-07-31Geomari1817.00this study
MGGN-2018-23 8MGGN-2018-23_0_10.00565.711924.351710.02018-07-31Geomari7873.00this study
MGGN-2018-21 9MGGN-2018-21_0_10.00565.706024.386210.02018-07-30Geomari1615.00this study
MGGN-2018-20 10MGGN-2018-20_0_10.00565.701224.409410.02018-07-30Geomari2321.00this study
MGGN-2017-23A 11MGGN-2017-23A_0_10.00565.651024.288017.72017-08-09Geomari1312.00this study
MGGN-2017-22A 12MGGN-2017-22A_0_10.00565.644224.211215.82017-08-09Geomari65.50this study
MGGN-2017-26A 13MGGN-2017-26A_0_10.00565.635224.409417.22017-08-11Geomari76.00this study
MGGN-2017-24A 14MGGN-2017-24A_0_10.00565.565924.458226.52017-08-10Geomari00.00this study
MGGN-2017-25A 15MGGN-2017-25A_0_10.00565.559024.166031.22017-08-10Geomari1514.00this study
MGGN-2019-3 16MGGN-2019-3_0_10.00565.333623.882955.02019-08-07Geomari00.00this study
MGGN-2018-17 17MGGN-2018-17_0_10.00565.326323.884556.02018-07-25Geomari2927.00this study
MGGN-2019-4 18MGGN-2019-4_0_10.00565.288923.999859.02019-08-07Geomari00.00this study
MGGN-2018-18 19MGGN-2018-18_0_10.00565.285723.975460.02018-07-25Geomari2725.00this study
MGGN-2019-5 20MGGN-2019-5_0_10.00565.284123.959156.02019-08-07Geomari2928.00this study
MGGN-2019-6 21MGGN-2019-6_0_10.00565.272524.024648.02019-08-07Geomari1312.00this study
MGGN-2018-19 22MGGN-2018-19_0_10.00565.269224.006849.02018-07-25Geomari2120.00this study
MGGN-2019-1 23MGGN-2019-1_0_10.00564.624923.547973.02019-08-06Geomari4947.00this study
MGGN-2019-2 24MGGN-2019-2_0_10.00564.620623.371072.02019-08-06Geomari3231.00this study
MGGN-2006-5 25MGGN-2006-5_0_10.00564.299822.3295110.02006-04-22Aranda799565.00this study
44-Ge-02 2644-Ge-02_0_10.00564.035822.871241.52002-07-23Kaita300193.00this study
MGGN-2017-28A 27MGGN-2017-28A_0_10.00563.877423.014712.52017-08-18Geomari10.90this study
45-Ge-02 2845-Ge-02_0_10.00563.873123.008812.72002-07-24Kaita13184.00this study
MGGN-2016-3 29MGGN-2016-3_0_10.00563.390321.973225.02016-08-03Geomari6053.00this study
MGGN-2016-2 30MGGN-2016-2_0_10.00563.348822.247223.02016-08-03Geomari10795.00this study
51-Ge-02 3251-Ge-02_0_10.00563.272521.935712.72002-07-27Kaita508328.00this study
50-Ge-02 3350-Ge-02_0_10.00563.240122.04075.02002-07-27Kaita349225.00this study
MGGN-2016-11 34MGGN-2016-11_0_10.00563.169120.839444.02016-08-05Geomari3834.00this study
MGGN-2016-9 35MGGN-2016-9_0_10.00563.194620.834943.02016-08-05Geomari10594.00this study
MGGN-2016-13 36MGGN-2016-13_0_10.00563.188320.881234.02016-08-05Geomari9383.00this study
MGGN-2016-10 37MGGN-2016-10_0_10.00563.174820.809345.02016-08-05Geomari3834.00this study
MGGN-2018-29 38MGGN-2018-29_0_10.00563.149721.209416.82018-08-08Geomari4542.00Virtasalo et al. 2020.
MGGN-2018-30 39MGGN-2018-30_0_10.00563.133721.238814.22018-08-08Geomari6056.00Virtasalo et al. 2020.
MGGN-2016-4 40MGGN-2016-4_0_10.00563.117621.345811.02016-08-04Geomari5953.00this study
MGGN-2017-17 41MGGN-2017-17_0_10.00563.113821.393010.02017-06-30Geomari7266.00Virtasalo et al. 2020.
MGGN-2016-7 42MGGN-2016-7_0_10.00563.112421.54225.02016-08-04Geomari4641.00this study
MGGN-2018-32 43MGGN-2018-32_0_10.00563.111221.273915.12018-08-10Geomari10194.00Virtasalo et al. 2020.
MGGN-2017-20 44MGGN-2017-20_0_10.00563.110721.53645.02017-07-03Geomari2725.00Virtasalo et al. 2020.
MGGN-2017-21 45MGGN-2017-21_0_10.00563.109521.56224.02017-07-04Geomari2725.00this study
MGGN-2018-31 46MGGN-2018-31_0_10.00563.106821.231617.52018-08-10Geomari7065.00Virtasalo et al. 2020.
MGGN-2017-18 47MGGN-2017-18_0_10.00563.096321.45568.02017-06-30Geomari3734.00Virtasalo et al. 2020.
MGGN-2017-19 48MGGN-2017-19_0_10.00563.092621.50947.02017-07-03Geomari2523.00Virtasalo et al. 2020.
MGGN-2016-6 49MGGN-2016-6_0_10.00563.091821.47947.02016-08-04Geomari4439.00this study
MGGN-2016-8 50MGGN-2016-8_0_10.00563.084021.53646.02016-08-04Geomari3229.00Virtasalo et al. 2020.
MGGN-2003-11 51MGGN-2003-11_0_10.00563.081721.208912.02003-08-01Kaita462305.00this study
KV-01-4 53KV-01-4_0_10.00563.062421.27957.12001-09-28Kaita7749.00this study
MGGN-2016-14 54MGGN-2016-14_0_10.00562.594219.9861147.02016-08-07Geomari8475.00this study
MGGN-2016-15 55MGGN-2016-15_0_10.00562.586319.9686230.02016-08-07Geomari10190.00this study
MGGN-2006-3 56MGGN-2006-3_0_10.00561.068519.7302130.02006-04-20Aranda1047741.00this study