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  "author": null,
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  "author": null,
            
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  "code": "7b.b.hb",
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  "code": "7b.b.hb",
            
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  "contributor": "NIOZ Royal Netherlands Institute for Sea Research",
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  "contributor": "NIOZ Royal Netherlands Institute for Sea Research",
            
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  "creator_user_id": "a94b0a9c-23a0-4e53-8e3d-6384f5db6bf2",
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  "creator_user_id": "a94b0a9c-23a0-4e53-8e3d-6384f5db6bf2",
            
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  "creators": 
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  "creators": 
            
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\"firstname\":\"Furu\",\"lastname\":\"Mienis\",\"affiliation\":\"Royal 
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\"firstname\":\"Furu\",\"lastname\":\"Mienis\",\"affiliation\":\"Royal 
            
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Netherlands Institute for Sea 
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Netherlands Institute for Sea 
            
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rstname\":\"Sabine\",\"lastname\":\"Haalboom\",\"affiliation\":\"Royal 
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rstname\":\"Sabine\",\"lastname\":\"Haalboom\",\"affiliation\":\"Royal 
            
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Netherlands Institute for Sea 
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Netherlands Institute for Sea 
            
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096\",\"contactemailaddress\":\"\",\"iscorrespondingauthor\":false}]",
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096\",\"contactemailaddress\":\"\",\"iscorrespondingauthor\":false}]",
            
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  "dataset_persistent_id": "DOI:10.33591/nioz/7b.b.hb",
            
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  "dates": 
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  "dates": 
            
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-05-13T22:00:00.000Z\",\"type\":\"collected\",\"information\":\"\"}]",
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-05-13T22:00:00.000Z\",\"type\":\"collected\",\"information\":\"\"}]",
            
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  "deposit_date": "2020-12-02",
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  "deposit_date": "2020-12-02",
            
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  "depositor": "Sabine Haalboom",
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  "depositor": "Sabine Haalboom",
            
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  "distribution_date": "2020-12-02",
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  "distribution_date": "2020-12-02",
            
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  "distributor": "Research Data Management(NIOZ Royal Netherlands 
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  "distributor": "Research Data Management(NIOZ Royal Netherlands 
            
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Institute for Sea Research)",
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Institute for Sea Research)",
            
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  "doi_date_published": "2020-12-02",
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  "doi_date_published": "2020-12-02",
            
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  "funding_references": "[{\"name\":\"Netherlands Organisation for 
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Scientific 
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Scientific 
            
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  "geographic_coverage": "[{\"place\":\"Whittard 
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  "geographic_coverage": "[{\"place\":\"Whittard 
            
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:-9.75,\"longitude_1\":49,\"latitude_2\":-10.25,\"longitude_2\":48}]",
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  "metadata_created": "2024-10-22T09:44:16.703470",
            
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  "name": "7bbhb",
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  "name": "7bbhb",
            
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  "notes": "Nepheloid layers with elevated concentrations of suspended 
36
  "notes": "Nepheloid layers with elevated concentrations of suspended 
            
37
particulate matter (SPM) are found throughout the world\u2019s oceans, 
37
particulate matter (SPM) are found throughout the world\u2019s oceans, 
            
38
generated by both natural processes, involving resuspension of seabed 
38
generated by both natural processes, involving resuspension of seabed 
            
39
sediment by bottom currents, and anthropogenic sediment resuspension 
39
sediment by bottom currents, and anthropogenic sediment resuspension 
            
40
due to bottom trawling, dredging and in the future potentially due to 
40
due to bottom trawling, dredging and in the future potentially due to 
            
41
deep-sea mining. These nepheloid layers represent pathways of lateral 
41
deep-sea mining. These nepheloid layers represent pathways of lateral 
            
42
SPM transport, including lithogenic and biogenic sediment, organic 
42
SPM transport, including lithogenic and biogenic sediment, organic 
            
43
matter, (trace) metals, organic pollutants and plastics. For 
43
matter, (trace) metals, organic pollutants and plastics. For 
            
44
assessment of the dispersion of these materials, it is essential that 
44
assessment of the dispersion of these materials, it is essential that 
            
45
SPM concentrations can be accurately quantified. However, this is not 
45
SPM concentrations can be accurately quantified. However, this is not 
            
46
straightforward as the detected turbidity signal not only depends on 
46
straightforward as the detected turbidity signal not only depends on 
            
47
the concentration of particles, but also on physical characteristics 
47
the concentration of particles, but also on physical characteristics 
            
48
of these particles, such as particle size. Here we present a 
48
of these particles, such as particle size. Here we present a 
            
49
comparative study of turbidity data to assess the potential 
49
comparative study of turbidity data to assess the potential 
            
50
implications different sensors have on the estimates of SPM 
50
implications different sensors have on the estimates of SPM 
            
51
concentration. Optical backscatter sensors (OBSs), transmissometers 
51
concentration. Optical backscatter sensors (OBSs), transmissometers 
            
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and both low- and high-frequency ADCPs were deployed simultaneously in 
52
and both low- and high-frequency ADCPs were deployed simultaneously in 
            
53
the Whittard Canyon, and water samples were collected for 
53
the Whittard Canyon, and water samples were collected for 
            
54
quantification of SPM concentration and ex-situ particle size 
54
quantification of SPM concentration and ex-situ particle size 
            
55
analysis. We found that SPM concentrations inferred from the 
55
analysis. We found that SPM concentrations inferred from the 
            
56
transmissometer are easily overestimated in the biologically 
56
transmissometer are easily overestimated in the biologically 
            
57
productive surface layer due to increased light absorption. 
57
productive surface layer due to increased light absorption. 
            
58
Furthermore, we observed that depending on sensor type some particles 
58
Furthermore, we observed that depending on sensor type some particles 
            
59
are not, or less well, detected. This is due to differences in 
59
are not, or less well, detected. This is due to differences in 
            
60
particle size sensitivities of these sensors towards the diverse range 
60
particle size sensitivities of these sensors towards the diverse range 
            
61
of particle sizes found in the Whittard Canyon. Whereby the 
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of particle sizes found in the Whittard Canyon. Whereby the 
            
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low-frequency ADCP was most sensitive for coarse-grained material and 
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low-frequency ADCP was most sensitive for coarse-grained material and 
            
63
the high-frequency ADCP and OBSs most sensitive for fine-grained 
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the high-frequency ADCP and OBSs most sensitive for fine-grained 
            
64
material. In future studies, we suggest to use a combination of  
64
material. In future studies, we suggest to use a combination of  
            
65
different sensors as it enabled us to identify a recurring cycle of 
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different sensors as it enabled us to identify a recurring cycle of 
            
66
resuspension, involving aggregation and disaggregation of SPM in the 
66
resuspension, involving aggregation and disaggregation of SPM in the 
            
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Whittard Canyon. ",
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Whittard Canyon. ",
            
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  "subject": "Earth and Environmental Sciences",
            
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  "tags": [
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  "tags": [
            
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    {
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    {
            
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      "display_name": "Suspended particulate matter Whittard Canyon 
163
      "display_name": "Suspended particulate matter Whittard Canyon 
            
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Optical and acoustic sensors Turbidity Particle size d",
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Optical and acoustic sensors Turbidity Particle size d",
            
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      "id": "bd708443-8859-4a13-8005-9d41761ff2f7",
            
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      "name": "Suspended particulate matter Whittard Canyon Optical 
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      "name": "Suspended particulate matter Whittard Canyon Optical 
            
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and acoustic sensors Turbidity Particle size d",
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and acoustic sensors Turbidity Particle size d",
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "Suspended particulate matter in a submarine canyon 
172
  "title": "Suspended particulate matter in a submarine canyon 
            
150
(Whittard Canyon, Bay of Biscay, NE Atlantic Ocean): Assessment of 
173
(Whittard Canyon, Bay of Biscay, NE Atlantic Ocean): Assessment of 
            
151
commonly used instruments to record turbidity",
174
commonly used instruments to record turbidity",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "url": "https://dataportal.nioz.nl/doi/10.33591/nioz/7b.b.hb",
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  "version": "1"
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}
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