Other language confidence: 0.8041380328577228
Ice core samples were obtained with a 9 cm Kovacs corer during the Polarstern cruise PS131 on ice stations between mid-July and 6th of August 2022 in the marginal ice zone in the Fram Strait and at two ice stations on fast ice (Greenland). This dataset contains temperature profiles obtained by drilling holes in 4 cm intervals (for the upper 40cm) and 10 cm intervals for the rest and inserting a waterproof thermometer with a needle probe. For most of the samples, the whole ice layer was sampled, but for some, only the upper 40 cm were measured. However, the measured total ice thickness is included in the dataset. For more information of these measurements the user is referred to Chapter 8 of the cruise report.
The Long-Term Ecological Research observatory HAUSGARTEN was established by the Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung in the Fram Strait in summer 1999 to detect and track the impact of large-scale environmental changes on the marine ecosystem in the transition zone between the northern North Atlantic and the central Arctic Ocean. In this area, bathymetric data have been recorded with multibeam echosounders during 44 research expeditions on RV Polarstern and RV Maria S. Merian since 1984. From these data, a digital elevation model was generated and geostatistical analyses were performed to calculate geospatial derivatives and quantitative terrain descriptors for subsequent terrain analyses and habitat mapping. The dataset covers an area from 78°N to 81°N and 6°W to 12°E. To create the data product, archive data was used from seven different multibeam echosounders in various raw data formats. This data has been processed and cleaned with CARIS HIPS & SIPS, including sound velocity correction for datasets from 1999 and newer. Older datasets are calculated with a static sound velocity of 1500 m/s. Soundings where exported for gridding with Generic Mapping Tools (GMT) nearneighbor. The resulting Digital Elevation Model (DEM) is in the WGS84/Arctic Polar Stereographic (EPSG:3995) projection with a cell size of 100m x 100m. The hillshade was computed with a combination of slope and synthetic illumination with a vertical exaggeration of 10. Slope inclination was calculated with GDAL tool Slope with the formula of Zevenbergen and Thorne (1987) in degree. Terrain Ruggedness Index (TRI) was computed with the QGIS tool Ruggedness index following the approach of Riley et al. (1999) in meters. For the Bathymetric Position Indices (BPI), focal statistics have been calculated with the GRASS tool "r.neighbors" and the QGIS raster calculator following the concept of the Topographic Position Index (Weiss, 2001) with a circular reference area of 99 cells (broad) and 9 cells (fine). The additional coverage polygon layer gives and overview on the used datasets and their corresponding metadata. The map gives an overview on the LTER HAUSGARTEN area and the HAUSGARTEN 2024 DEM.
Phytoplankton pigments were determined in the water column of a transect from the North Sea to Fram Strait during RV Polarstern expedition PS121 from 11 Aug to 10 Sep 2019. Water samples were collected from CTD Niskin bottles at five to six different depths from the upper 100 m at CTD stations and from underway sampling. This were the same water samples as in Bracher et al. (https://doi.pangaea.de/10.1594/PANGAEA.938260). Between 0.2 to 3.5 L of each seawater sample was filtered through Whatman GF/Ffilters. The sample filters were then shock‐frozen in liquid N2 and kept at−80 °C until analysis. High Pressure Liquid Chromatography (HPLC) was performed to quantify various phytoplankton pigments (see Table 1 in Taylor et al. 2011) following the method of Barlow et al. (1997) that was adjusted to our temperature‐controlled instruments as detailed in Alvarez et al. (2022).
Water samples were taken during North Sea to Fram Strait expedition PS121 with RV Polarstern from 11 Aug to 10 Sep 2019. Water samples were collected from CTD Niskin bottles at five to six different depths from the upper 100 m and additionally from the ship's seawater supply pumped through teflon tubing from about 11m depth during underway as described in Liu et al (2018). All collected samples were filtered through 25 cm Whatman GF/F filters, respectively, under low-vacuum pressure (below 200 mbar). blank filters were collected by soaking them in 0.2um filtered seawater. Measurements for particulate and non-algal (NAP) absorption were performed directly after filtration the quantitative filtration techniques-intergrative cavity measurement device and procedure from Röttgers et al. (2016) as described in Liu et al. (2018). Phytoplankton absorption (aph*; (Bracher et al. 2021)*) was derived by subtracting the NAP from the particulate absorption.
Water samples were taken during North Sea to Fram Strait expedition PS121 with RV Polarstern from 11 Aug to 10 Sep 2019. Water samples were collected from CTD Niskin bottles at five to six different depths from the upper 100 m and additionally from the ship's seawater supply pumped through teflon tubing from about 11m depth during underway as described in Liu et al (2018). All collected samples were filtered through 25 cm Whatman GF/F filters, respectively, under low-vacuum pressure (below 200 mbar). Blank filters were collected by soaking them in 0.2um filtered seawater. Measurements for particulate and non-algal (NAP) absorption were performed directly after filtration the quantitative filtration techniques-intergrative cavity measurement device and procedure from Röttgers et al. (2016) as described in Liu et al. (2018). Phytoplankton absorption (aph) was derived by subtracting the NAP (Bracher et al. 2021) from the particulate absorption.
Water samples were taken during North Sea to Fram Strait expedition PS121 with RV Polarstern from 11 Aug to 10 Sep 2019. Water samples were collected from the ship's seawater supply pumped through teflon tubing from about 11m depth during underway as described in Liu et al (2018). The same water samples were measured as in Bracher et al. (2021). Water samples for CDOM absorption analysis are filtered through 0.2 µm filters and analysed onboard with a 2.5-m path length liquid waveguide capillary cell system (LWCC, WPI) following Levering et al. (2017). Details on method adaptation to our instrumentation set-up are provided in Alvarez et al. (2022). Salinity data were extracted from https://doi.pangaea.de/10.1594/PANGAEA.930022.
This dataset includes paleomagnetic and rock magnetic analyses from four sediment cores collected on continental slope of Storfjorden (EG-02, EG-03, SV-04) and Kveithola (GeoB17603-3) trough‐mouth fans and two cores collected at the crest of the Bellsund (GS191-01PC) and Isfjorden (GS191-02PC) sediment drifts (NW Barents Sea). The dataset gave the opportunity to reconstruct variation of past geomagnetic field at high latitude for the last 22 kya and define the path of the virtual geomagnetic pole (VGP). Data are presented as two metadata table: one with definitions of the column heads and one with the core details; six tables with the data on the measured rock magnetic and paleomagnetic parameters and 3 tables with the results of data analyses and elaboration. List of tables is as follows: 1) Metadata: definition of columns heads; 2) Metadata: core details; 3) GS191-01PC: down-core variation of rock magnetic and paleomagnetic parameters [k (10E-05 SI); ARM (A/m); MDF (mT); NRM (A/m); MAD (°); Incl PCA (°); Decl PCA (°)] for Core GS191-01PC; 4) GS191-02PC: down-core variation of rock magnetic and paleomagnetic parameters [k (10E-05 SI); ARM (A/m); MDF (mT); NRM (A/m); MAD (°); Incl PCA (°); Decl PCA (°)] for Core GS191-02PC; 5) EG03: down-core variation of rock magnetic and paleomagnetic parameters [k (10E-05 SI); ARM (A/m); MDF (mT); NRM (A/m); MAD (°); Incl PCA (°); Decl PCA (°)] for Core EG03; 6) EG02: down-core variation of rock magnetic and paleomagnetic parameters [k (10E-05 SI); ARM (A/m); MDF (mT); NRM (A/m); MAD (°); Incl PCA (°); Decl PCA (°)] for Core EG02; 7) SV04: down-core variation of rock magnetic and paleomagnetic parameters [k (10E-05 SI); ARM (A/m); MDF (mT); NRM (A/m); MAD (°); Incl PCA (°); Decl PCA (°)] for Core SV04; 8) GeoB17603-3: down-core variation of rock magnetic and paleomagnetic parameters [k (10E-05 SI); ARM (A/m); MDF (mT); NRM (A/m); MAD (°); Incl PCA (°); Decl PCA (°)] for Core GeoB17603-3; 9) Cores Correlation: GS191-01PC depth (cm) and ARM (A/m) down-core variations for core GS191-01PC (master core); GS191-02PC depth (cm), GS191-02PC depth transferred to GS191-01PC depth (cm), ARM (A/m) down-core for core GS191-02PC and correlation tie points; GeoB17603-3 depth (cm), GeoB17603-3 depth transferred to GS191-01PC depth (cm), ARM (A/m) down-core for core GeoB17603-3 and correlation tie points; EG02 depth (cm), EG02 depth transferred to GS191-01PC depth (cm), ARM (A/m) down-core for core EG02 and correlation tie points; EG03 depth (cm), EG03 depth transferred to GS191-01PC depth (cm), ARM (A/m) down-core and correlation tie points; SV04 depth (cm), SV04 transferred to GS191-01PC (cm), ARM (A/m) down-core for core SV04 and correlation tie points; 10) Age model: age model for Core GS191-01PC; GS191-02PC; EG02; EG03; SV04 and correlation tie points; 11) NBS stack: paleomagnetic inclination, declination and RPI variations for NBS22.2k stack. In order to define high-resolution correlation between the cores the along-core variation of rock magnetic and paleomagnetic parameters (Sagnotti et al., 2011; Caricchi et al., 2018; Caricchi et al., 2019) have been integrated with the distribution of characteristic lithofacies (Lucchi et al., 2013), and the available age constraints (Sagnotti et al., 2011; Caricchi et al., 2018, Caricchi et al., 2019; Caricchi et al., 2020). Core to core correlation has been reconstructed by means of the StratFit software (Sagnotti and Caricchi, 2018), which is based on the Excel forecast function and linear regression between subsequent couples of selected tie-points. The data are presented as one Excel sheet with eleven tables and in tab-delimited ASCII format in the zip folder: 2022-028_Caricchi-et-al_data-txt.zip.
This data publication includes the paleomagnetic and rock magnetic dataset from two Calypso giant piston cores collected at the crest of the Bellsund (GS191-01PC) and Isfjorden (GS191-02PC) sediment drifts during the Eurofleets-2 PREPARED cruise, on board the R/V G.O. Sars (Lucchi et al., 2014). These sediments drift are located on the eastern side of the Fram Strait (western Spitsbergen margin).The dataset gave the opportunity to define the behavior of past geomagnetic field at high latitude and to constrain the palaeoclimatic events that occurred in a time framework spanning Marine Isotope Stage (MIS) 3 to Holocene (Caricchi et al., in press). The data are provided as raw data in .dat format and interpreted data in .xlx and tab-delimited text formats. The raw data files can be opened using a text-editor, MS Excel or equivalent software.The interpreted data are presented as a metadata table with definitions of the column heads and 5 individual tables with the content:- Metadata: definition of columns heads- Rock Magnetic-Paleomag Data 01: down-core variation of rock magnetic and paleomagnetic parameters [k (10E-05 SI); ARM (A/m); ARM/k (A/m); MDF (mT); ΔGRM/ΔNRM; NRM (A/m); MAD (°); Incl PCA (°); Decl PCA (°)] for Core GS191-01PC- Rock Magnetic-Paleomag Data 02: down core variation of rock magnetic and paleomagnetic data [k (10E-05 SI); ARM (A/m); ARM/k (A/m); MDF (mT); ΔGRM/ΔNRM; NRM (A/m); MAD (°); Incl PCA (°) Decl PCA (°)] for Core GS191-02PC- Cores Correlation: Depth of Core GS191-02PC and depth of Core GS191-02PC correlated to Core GS191-01PC, NRM (A/m); ARM(A/m) and RPI down-core variations for core GS191-02PC; Depth of Core GS191-01PC NRM (A/m); ARM(A/m) and RPI down-core variations for core GS191-01PC; tie points values.- Age Model 01: age model for Core GS191-01PC- Age Model 02: age model for Core GS191-01PC
We analysed microplastic and fibers in snow samples from ice floes in the Fram Strait (2016/17) and from Spitsbergen, Helgoland, Bremen, Bavaria and the Swiss Alps (2018) to assess the role of atmospheric transport of microplastic to the North. Identification of particles was carried out without pre-treatment of samples. MPs were identified by Fourier-Transform Infrared Imaging in 20 of 21 samples. The MP concentration of Arctic was significantly lower (0-14.4 × 103 N L-1) than European snow (0.19-154 × 103 N L-1) but still substantial. Polymer composition varied strongly, but varnish, rubber, polyethylene and polyamide dominated overall. Most particles were in the smallest size range with no saturation, implying that there are yet smaller particles beyond the current detection limit of 11 µm. All samples contained fibers but the proportion of microplastic fibers is uncertain as fibers could not be analysed with the current methodology.
<div>We analysed microplastic and fibers in snow samples from ice floes in the Fram Strait (2016/17) and from Spitsbergen, Helgoland, Bremen, Bavaria and the Swiss Alps (2018) to assess the role of atmospheric transport of microplastic to the North. Identification of particles was carried out without pre-treatment of samples. MPs were identified by Fourier-Transform Infrared Imaging in 20 of 21 samples. The MP concentration of Arctic was significantly lower (0-14.4 × 103 N L-1) than European snow (0.19-154 × 103 N L-1) but still substantial. Polymer composition varied strongly, but varnish, rubber, polyethylene and polyamide dominated overall. Most particles were in the smallest size range with no saturation, implying that there are yet smaller particles beyond the current detection limit of 11 µm. All samples contained fibers but the proportion of microplastic fibers is uncertain as fibers could not be analysed with the current methodology. Citation: Bergmann, Melanie; Mützel, Sophia; Primpke, Sebastian; Tekman, Mine Banu; Trachsel, Jürg; Gerdts, Gunnar (2019): Microplastic in snow from European and Arctic sites [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.901447, Supplement to: Bergmann, M et al. (2019): White and wonderful? Microplastics prevail in snow from the Alps to the Arctic. Science Advances, 5(8), eaax1157, https://doi.org/10.1126/sciadv.aax1157 <div style="overflow-x: auto;", aria-label="Table of data for this location"><table>\n <tr> <th>Event</th> <th>Date/Time</th> <th>Latitude</th> <th>Longitude</th> <th>Sample label</th> <th>Sample label 2</th> <th>Campaign (Cruise/Campaign)</th> <th>Location</th> <th>Sample comment (Means of transport)</th> <th>Sample comment (Weather)</th> <th>TTT [°C]</th> <th>TnTnTn [°C]</th> <th>TxTxTx [°C]</th> <th>ff [m/s]</th> <th>ff min [m/s]</th> <th>ff max [m/s]</th> <th>Sample comment (Sampling area (cm))</th> <th>Depth ice/snow [m] (Sampling depth; Measured from...)</th> <th>Depth top [m] (Minimum Depth; Measured from ...)</th> <th>Depth bot [m] (Maximum Depth; Measured from ...)</th> <th>Sample comment (Container material)</th> <th>Sample comment (Rinsing agent)</th> <th>Sample comment (Mug/spoon material)</th> <th>Sample comment (Wrapping)</th> <th>n [#] (Sampling team)</th> <th>n [#] (Regional inhabitants)</th> <th>n [#] (Tourists in March (additionally))</th> <th>Sample comment (Sampling institute)</th> <th>Sample comment (Blank corrected?)</th> <th>SWE [kg/m**2] (Mean annual snow fall)</th> <th>Microplastic fallout [#/m**2/a] (Mean anual MP fallout, Calcul...)</th> <th>Fibre fallout [#/m**2/a] (Mean annual Fibre fallout, Ca...)</th> <th>Sample ID</th> <th>Samp vol [l] (Filtrated volume)</th> <th>Particles [#] (All particles, Fourier transf...)</th> <th>Plastic [#] (Fourier transform infrared im...)</th> <th>Plastic particle conc [#/l] (Plastic items (Blank c. for p...)</th> <th>Plastic particle conc [#/m**3] (Plastic items, Calculated)</th> <th>Particles [#] (Uncertainty for N due to Glas...)</th> <th>Particles [#] (Uncertainty for N due to FTIR...)</th> <th>Vol [l] (Uncertainty for V due to Filt...)</th> <th>Plastic particle conc [#/l] (Uncertainty of N Plastic part...)</th> <th>Error r [%] (Relative Uncertainty, Calculated)</th> <th>Part conc [#/l] (All items, Calculated)</th> <th>Perc [%] (%Plastic, Calculated)</th> <th>Fibres [#] (Fibres, Optical microscopy)</th> <th>Fibres [#] (Fibres in blanks, Optical mic...)</th> <th>Vol [l] (Volume Blank)</th> <th>Fibre conc [#/l] (Fibres, Calculated)</th> <th>Fibre conc [#/l] (Fibre/blank corrected, Calcul...)</th> <th>PE [#] (Fourier transform infrared im...)</th> <th>PE oxidized [#] (Fourier transform infrared im...)</th> <th>PE-Cl [#] (Fourier transform infrared im...)</th> <th>PP [#] (Fourier transform infrared im...)</th> <th>PS [#] (Fourier transform infrared im...)</th> <th>PC [#] (Fourier transform infrared im...)</th> <th>PA [#] (Fourier transform infrared im...)</th> <th>PVC [#] (Fourier transform infrared im...)</th> <th>Cellulose chem modif [#] (Fourier transform infrared im...)</th> <th>Nitrile rubber [#] (Fourier transform infrared im...)</th> <th>PES [#] (Fourier transform infrared im...)</th> <th>Polymer oth [#] (acrylates/polyurethanes/varni...)</th> <th>Animal fur [#] (Fourier transform infrared im...)</th> <th>Plant fibre [#] (Fourier transform infrared im...)</th> <th>Sand [#] (Fourier transform infrared im...)</th> <th>Polysulfone [#] (Fourier transform infrared im...)</th> <th>PEEK [#] (Fourier transform infrared im...)</th> <th>Polychloroprene [#] (Fourier transform infrared im...)</th> <th>Chitin [#] (Fourier transform infrared im...)</th> <th>Polyisoprene-Cl [#] (Fourier transform infrared im...)</th> <th>PLA [#] (Fourier transform infrared im...)</th> <th>PCL [#] (Fourier transform infrared im...)</th> <th>EVA [#] (Fourier transform infrared im...)</th> <th>PI [#] (Fourier transform infrared im...)</th> <th>POM [#] (Fourier transform infrared im...)</th> <th>BR [#] (Fourier transform infrared im...)</th> <th>AB [#] (Fourier transform infrared im...)</th> <th>Rubber [#] (type 1, Fourier transform inf...)</th> <th>Rubber [#] (type 2, Fourier transform inf...)</th> <th>Charcoal [#] (Fourier transform infrared im...)</th> <th>Coal [#] (Fourier transform infrared im...)</th> <th>Rubber [#] (type 3, Fourier transform inf...)</th> <th>Polymer particles [#] (Single polymer particle, Four...)</th> <th>Polymer particles [#] (>11<=25 µm, Fourier transform...)</th> <th>Polymer particles [#] (>25<=50 µm, Fourier transform...)</th> <th>Polymer particles [#] (>50<=75 µm, Fourier transform...)</th> <th>Polymer particles [#] (>75<=100 µm, Fourier transfor...)</th> <th>Polymer particles [#] (>100<=125 µm, Fourier transfo...)</th> <th>Polymer particles [#] (>125<=150 µm, Fourier transfo...)</th> <th>Polymer particles [#] (>150<=175 µm, Fourier transfo...)</th> <th>Polymer particles [#] (>175<=200 µm, Fourier transfo...)</th> <th>Polymer particles [#] (>200<=225 µm, Fourier transfo...)</th> <th>Polymer particles [#] (>225<=250 µm, Fourier transfo...)</th> <th>Polymer particles [#] (>250<=275 µm, Fourier transfo...)</th> <th>Polymer particles [#] (>275<=300 µm, Fourier transfo...)</th> <th>Polymer particles [#] (>300<=325 µm, Fourier transfo...)</th> <th>Polymer particles [#] (>325<=250 µm, Fourier transfo...)</th> <th>Polymer particles [#] (>250<=375 µm, Fourier transfo...)</th> <th>Polymer particles [#] (>375<=400 µm, Fourier transfo...)</th> <th>Polymer particles [#] (>400<=425 µm, Fourier transfo...)</th> <th>Polymer particles [#] (>425<=450 µm, Fourier transfo...)</th> <th>Polymer particles [#] (>450<=475 µm, Fourier transfo...)</th> <th>Polymer particles [#] (>475<=500 µm, Fourier transfo...)</th> <th>Polymer particles [#] (>500 µm, Fourier transform in...)</th> <th>Particles [#] (All single particles, Fourier...)</th> <th>Particles [#] (All particles, >11<=25 µm, Fo...)</th> <th>Particles [#] (All particles, >25<=50 µm, Fo...)</th> <th>Particles [#] (All particles, >50<=75 µm, Fo...)</th> <th>Particles [#] (All particles, >75<=100 µm, F...)</th> <th>Particles [#] (All particles, >100<=125 µm, ...)</th> <th>Particles [#] (All particles, >125<=150 µm, ...)</th> <th>Particles [#] (All particles, >150<=175 µm, ...)</th> <th>Particles [#] (All particles, >175<=200 µm, ...)</th> <th>Particles [#] (All particles, >200<=225 µm, ...)</th> <th>Particles [#] (All particles, >225<=250 µm, ...)</th> <th>Particles [#] (All particles, >250<=275 µm, ...)</th> <th>Particles [#] (All particles, >275<=300 µm, ...)</th> <th>Particles [#] (All particles, >300<=325 µm, ...)</th> <th>Particles [#] (All particles, >325<=350 µm, ...)</th> <th>Particles [#] (All particles, >350<=375 µm, ...)</th> <th>Particles [#] (All particles, >375<=400 µm, ...)</th> <th>Particles [#] (All particles, >400<=425 µm, ...)</th> <th>Particles [#] (All particles, >425<=450 µm, ...)</th> <th>Particles [#] (All particles, >450<=475 µm, ...)</th> <th>Particles [#] (All particles, >475<=500 µm, ...)</th> <th>Particles [#] (All particles, >500 µm, Fouri...)</th> <th>PE [#/l] (Calculated)</th> <th>PE oxidized [#/l] (Calculated)</th> <th>PE-Cl [#/l] (Calculated)</th> <th>PP [#/l] (Calculated)</th> <th>PS [#/l] (Calculated)</th> <th>PC [#/l] (Calculated)</th> <th>PA [#/l] (Calculated)</th> <th>PVC [#/l] (Calculated)</th> <th>Cellulose chem modif [#/l] (Calculated)</th> <th>Nitrile rubber [#/l] (Calculated)</th> <th>PES [#/l] (Calculated)</th> <th>Polymer oth [#/l] (acrylates/polyurethanes/varni...)</th> <th>Animal fur [#/l] (Calculated)</th> <th>Plant fibre [#/l] (Calculated)</th> <th>Sand [#/l] (Calculated)</th> <th>Polysulfone [#/l] (Calculated)</th> <th>PEEK [#/l] (Calculated)</th> <th>Polychloroprene [#/l] (Calculated)</th> <th>Chitin [#/l] (Calculated)</th> <th>Polyisoprene-Cl [#/l] (Calculated)</th> <th>PLA [#/l] (Calculated)</th> <th>PCL [#/l] (Calculated)</th> <th>EVA [#/l] (Calculated)</th> <th>PI [#/l] (Calculated)</th> <th>POM [#/l] (Calculated)</th> <th>BR [#/l] (Calculated)</th> <th>AB [#/l] (Calculated)</th> <th>Rubber [#/l] (type 1, Calculated)</th> <th>Rubber [#/l] (type 2, Calculated)</th> <th>Charcoal [#/l] (Calculated)</th> <th>Coal [#/l] (Calculated)</th> <th>Rubber [#/l] (type 3, Calculated)</th> <th>Polymer particle conc [#/l] (Single polymer particle, Calc...)</th> <th>Polymer particle conc [#/l] (Polymer particles >11<=25 µm,...)</th> <th>Polymer particle conc [#/l] (Polymer particles >25<=50 µm,...)</th> <th>Polymer particle conc [#/l] (Polymer particles >50<=75 µm,...)</th> <th>Polymer particle conc [#/l] (Polymer particles >75<=100 µm...)</th> <th>Polymer particle conc [#/l] (Polymer particles >100<=125 µ...)</th> <th>Polymer particle conc [#/l] (Polymer particles >125<=150 µ...)</th> <th>Polymer particle conc [#/l] (Polymer particles >150<=175 µ...)</th> <th>Polymer particle conc [#/l] (Polymer particles >175<=200 µ...)</th> <th>Polymer particle conc [#/l] (Polymer particles >200<=225 µ...)</th> <th>Polymer particle conc [#/l] (Polymer particles >225<=250 µ...)</th> <th>Polymer particle conc [#/l] (Polymer particles >250<=275 µ...)</th> <th>Polymer particle conc [#/l] (Polymer particles >275<=300 µ...)</th> <th>Polymer particle conc [#/l] (Polymer particles >300<=325 µ...)</th> <th>Polymer particle conc [#/l] (Polymer particles >325<=250 µ...)</th> <th>Polymer particle conc [#/l] (Polymer particles >250<=375 µ...)</th> <th>Polymer particle conc [#/l] (Polymer particles >375<=400 µ...)</th> <th>Polymer particle conc [#/l] (Polymer particles >400<=425 µ...)</th> <th>Polymer particle conc [#/l] (Polymer particles >425<=450 µ...)</th> <th>Polymer particle conc [#/l] (Polymer particles >450<=475 µ...)</th> <th>Polymer particle conc [#/l] (Polymer particles >475<=500 µ...)</th> <th>Polymer particle conc [#/l] (Polymer particles >500 µm, Ca...)</th> <th>Part conc [#/l] (All Single particle, Calculated)</th> <th>Part conc [#/l] (All particles, >11<=25 µm, Ca...)</th> <th>Part conc [#/l] (All particles, >25<=50 µm, Ca...)</th> <th>Part conc [#/l] (All particles, >50<=75 µm, Ca...)</th> <th>Part conc [#/l] (All particles, >75<=100 µm, C...)</th> <th>Part conc [#/l] (All particles, >100<=125 µm, ...)</th> <th>Part conc [#/l] (All particles, >125<=150 µm, ...)</th> <th>Part conc [#/l] (All particles, >150<=175 µm, ...)</th> <th>Part conc [#/l] (All particles, >175<=200 µm, ...)</th> <th>Part conc [#/l] (All particles, >200<=225 µm, ...)</th> <th>Part conc [#/l] (All particles, >225<=250 µm, ...)</th> <th>Part conc [#/l] (All particles, >250<=275 µm, ...)</th> <th>Part conc [#/l] (All particles, >275<=300 µm, ...)</th> <th>Part conc [#/l] (All particles, >300<=325 µm, ...)</th> <th>Part conc [#/l] (All particles, >325<=250 µm, ...)</th> <th>Part conc [#/l] (All particles, >250<=375 µm, ...)</th> <th>Part conc [#/l] (All particles, >375<=400 µm, ...)</th> <th>Part conc [#/l] (All particles, >400<=425 µm, ...)</th> <th>Part conc [#/l] (All particles, >425<=450 µm, ...)</th> <th>Part conc [#/l] (All particles, >450<=475 µm, ...)</th> <th>Part conc [#/l] (All particles, >475<=500 µm, ...)</th> <th>Part conc [#/l] (All particles, >500 µm, Calcu...)</th> <th>Polymer particles [%] (>=11 µm, Calculated)</th> <th>Polymer particles [%] (>11<=25 µm, Calculated)</th> <th>Polymer particles [%] (>25<=50 µm, Calculated)</th> <th>Polymer particles [%] (>50<=75 µm, Calculated)</th> <th>Polymer particles [%] (>75<=100 µm, Calculated)</th> <th>Polymer particles [%] (>100<=125 µm, Calculated)</th> <th>Polymer particles [%] (>125<=150 µm, Calculated)</th> <th>Polymer particles [%] (>150<=175 µm, Calculated)</th> <th>Polymer particles [%] (>175<=200 µm, Calculated)</th> <th>Polymer particles [%] (>200<=225 µm, Calculated)</th> <th>Polymer particles [%] (>225<=250 µm, Calculated)</th> <th>Polymer particles [%] (>250<=275 µm, Calculated)</th> <th>Polymer particles [%] (>275<=300 µm, Calculated)</th> <th>Polymer particles [%] (>300<=325 µm, Calculated)</th> <th>Polymer particles [%] (>325<=250 µm, Calculated)</th> <th>Polymer particles [%] (>250<=375 µm, Calculated)</th> <th>Polymer particles [%] (>375<=400 µm, Calculated)</th> <th>Polymer particles [%] (>400<=425 µm, Calculated)</th> <th>Polymer particles [%] (>425<=450 µm, Calculated)</th> <th>Polymer particles [%] (>450<=475 µm, Calculated)</th> <th>Polymer particles [%] (>475<=500 µm, Calculated)</th> <th>Polymer particles [%] (>500 µm, Calculated)</th> <th>Particles [%] (All particles, >=11 µm, Calcu...)</th> <th>Particles [%] (All particles, >11<=25 µm, Ca...)</th> <th>Particles [%] (All particles, >25<=50 µm, Ca...)</th> <th>Particles [%] (All particles, >50<=75 µm, Ca...)</th> <th>Particles [%] (All particles, >75<=100 µm, C...)</th> <th>Particles [%] (All particles, >100<=125 µm, ...)</th> <th>Particles [%] (All particles, >125<=150 µm, ...)</th> <th>Particles [%] (All particles, >150<=175 µm, ...)</th> <th>Particles [%] (All particles, >175<=200 µm, ...)</th> <th>Particles [%] (All particles, >200<=225 µm, ...)</th> <th>Particles [%] (All particles, >225<=250 µm, ...)</th> <th>Particles [%] (All particles, >250<=275 µm, ...)</th> <th>Particles [%] (All particles, >275<=300 µm, ...)</th> <th>Particles [%] (All particles, >300<=325 µm, ...)</th> <th>Particles [%] (All particles, >325<=250 µm, ...)</th> <th>Particles [%] (All particles, >250<=375 µm, ...)</th> <th>Particles [%] (All particles, >375<=400 µm, ...)</th> <th>Particles [%] (All particles, >400<=425 µm, ...)</th> <th>Particles [%] (All particles, >425<=450 µm, ...)</th> <th>Particles [%] (All particles, >450<=475 µm, ...)</th> <th>Particles [%] (All particles, >475<=500 µm, ...)</th> <th>Particles [%] (All particles, >500 µm, Calcu...)</th> </tr> <tr> <td>BremenSnow</td> <td>2018-02-25</td> <td>53.0675</td> <td>8.7931</td> <td>Bremen</td> <td>BremenSnow</td> <td></td> <td>Bremen</td> <td>By foot</td> <td>cloudy</td> <td></td> <td>-3</td> <td>-2</td> <td>2.5</td> <td></td> <td></td> <td></td> <td>0.0125</td> <td>0.01</td> <td>0.015</td> <td>Glass, silicon sealing</td> <td>Milli Q</td> <td>Stainless steel</td> <td>Tin foil</td> <td>1</td> <td>557464</td> <td></td> <td>AWI</td> <td>No</td> <td></td> <td></td> <td></td> <td>5</td> <td>0.0575</td> <td>4372.0000</td> <td>115.0000</td> <td>2000</td> <td>2000000</td> <td>5</td> <td>6</td> <td>0.0001</td> <td>191.34</td> <td>9.57</td> <td>76034.78</td> <td>2.63</td> <td>114</td> <td>83</td> <td>1.5</td> <td>1983</td> <td>1927</td> <td>3.00</td> <td>1.000</td> <td>0.000</td> <td>1.000</td> <td>0</td> <td>0</td> <td>8.000</td> <td>0</td> <td>3.000</td> <td>1.000</td> <td>0.000</td> <td>89.000</td> <td>358.000</td> <td>3872.000</td> <td>12</td> <td>0</td> <td>0</td> <td>0</td> <td>15.000</td> <td>0</td> <td>0</td> <td>0</td> <td>6.000</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0.000</td> <td>0</td> <td>0</td> <td>0</td> <td>3.000</td> <td>96.0000</td> <td>15.0000</td> <td>3.000</td> <td>0.000</td> <td>0.000</td> <td>0</td> <td>0</td> <td>1</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>1802.00000</td> <td>1151.0000</td> <td>809.0000</td> <td>306.00000</td> <td>121.0000</td> <td>66.000</td> <td>28.000</td> <td>25.000</td> <td>14.000</td> <td>12.000</td> <td>8</td> <td>9</td> <td>3.000</td> <td>2.000</td> <td>5.000</td> <td>3</td> <td>1.000</td> <td>0</td> <td>1</td> <td>1</td> <td>1</td> <td>4.000</td> <td>52.1739</td> <td>17.3913</td> <td>0.0000</td> <td>17.3913</td> <td>0.0000</td> <td>0.0000</td> <td>139.1304</td> <td>0.0000</td> <td>52.1739</td> <td>17.3913</td> <td>0.0000</td> <td>1547.8261</td> <td>6226.0870</td> <td>67339.1304</td> <td>208.6957</td> <td>0</td> <td>0</td> <td>0.0000</td> <td>260.8696</td> <td>0</td> <td>0.0000</td> <td>0.0000</td> <td>104.3478</td> <td>0.0000</td> <td>0</td> <td>0</td> <td>0</td> <td>0.0000</td> <td>0</td> <td>0.0000</td> <td>0.0000</td> <td>52.1739</td> <td>1669.565217000</td> <td>260.869565200</td> <td>52.173913040</td> <td>0.000000000</td> <td>0.000000000</td> <td>0.000000000</td> <td>0.000000000</td> <td>17.391304350</td> <td>0.000000000</td> <td>0.000000000</td> <td>0.000000000</td> <td>0.000000000</td> <td>0.000000000</td> <td>0.000000000</td> <td>0.000000000</td> <td>0.000000000</td> <td>0.000000000</td> <td>0.000000000</td> <td>0.000000000</td> <td>0.000000000</td> <td>0.000000000</td> <td>0.000000000</td> <td>31339.13043000</td> <td>20017.391300000</td> <td>14069.56522000</td> <td>5321.73913000</td> <td>2104.34782600</td> <td>1147.82608700</td> <td>486.956521700</td> <td>434.782608700</td> <td>243.47826090</td> <td>208.695652200</td> <td>139.13043480</td> <td>156.52173910</td> <td>52.173913040</td> <td>34.78260870</td> <td>86.95652174</td> <td>52.173913040</td> <td>17.39130435</td> <td>0.00000000</td> <td>17.39130435</td> <td>17.39130435</td> <td>17.39130435</td> <td>69.56521739</td> <td>83.47826087</td> <td>13.043478260</td> <td>2.608695652</td> <td>0.000000000</td> <td>0.000000000</td> <td>0.000000000</td> <td>0.000000000</td> <td>0.869565217</td> <td>0.000000000</td> <td>0.000000000</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0.000000000</td> <td>0</td> <td>0</td> <td>41.21683440</td> <td>26.326623970</td> <td>18.504117110</td> <td>6.999085087</td> <td>2.767612077</td> <td>1.509606587</td> <td>0.640439158</td> <td>0.571820677</td> <td>0.320219579</td> <td>0.274473925</td> <td>0.182982617</td> <td>0.205855444</td> <td>0.068618481</td> <td>0.045745654</td> <td>0.114364135</td> <td>0.068618481</td> <td>0.022872827</td> <td>0.000000000</td> <td>0.022872827</td> <td>0.022872827</td> <td>0.022872827</td> <td>0.091491308</td> </tr> </table></div></div>
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