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  "author": "[{\"affiliation\": \"EPFL\", \"affiliation_02\": \"\", 
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  "author": "[{\"affiliation\": \"EPFL\", \"affiliation_02\": \"\", 
            
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\"affiliation_03\": \"\", \"data_credit\": \"collection\", \"email\": 
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\"affiliation_03\": \"\", \"data_credit\": \"collection\", \"email\": 
            
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\"ghislain.motos@epfl.ch\", \"given_name\": \"Ghislain\", 
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\"ghislain.motos@epfl.ch\", \"given_name\": \"Ghislain\", 
            
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\"identifier\": \"0000-0001-6077-5527\", \"name\": \"Motos\"}]",
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\"identifier\": \"0000-0001-6077-5527\", \"name\": \"Motos\"}]",
            
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  "author_email": null,
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  "author_email": null,
            
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  "creator_user_id": "e6d54de1-82fb-49ac-a574-3529eb300a2c",
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  "creator_user_id": "e6d54de1-82fb-49ac-a574-3529eb300a2c",
            
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  "date": "[{\"date\": \"2019-10-01\", \"date_type\": \"collected\", 
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  "date": "[{\"date\": \"2019-10-01\", \"date_type\": \"collected\", 
            
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\"end_date\": \"2020-10-01\"}]",
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\"end_date\": \"2020-10-01\"}]",
            
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  "doi": "10.16904/envidat.438",
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  "doi": "10.16904/envidat.438",
            
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  "funding": "[{\"grant_number\": \"no. 726165\", \"institution\": 
11
  "funding": "[{\"grant_number\": \"no. 726165\", \"institution\": 
            
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\"European Research Council, CoG-2016 project PyroTRACH\", 
12
\"European Research Council, CoG-2016 project PyroTRACH\", 
            
13
\"institution_url\": \"https://cordis.europa.eu/project/id/726165\"}, 
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\"institution_url\": \"https://cordis.europa.eu/project/id/726165\"}, 
            
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{\"grant_number\": \"no. 821205\", \"institution\": \"European Union 
14
{\"grant_number\": \"no. 821205\", \"institution\": \"European Union 
            
15
Horizon 2020 project FORCeS\", \"institution_url\": 
15
Horizon 2020 project FORCeS\", \"institution_url\": 
            
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\"https://forces-project.eu/\"}]",
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\"https://forces-project.eu/\"}]",
            
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  "groups": [],
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  "groups": [],
            
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  "id": "365c4a6b-1b1b-4415-abd0-56681103355a",
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  "id": "365c4a6b-1b1b-4415-abd0-56681103355a",
            
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  "isopen": false,
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  "isopen": false,
            
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  "language": "en",
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  "language": "en",
            
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  "license_id": "wsl-data",
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  "license_id": "wsl-data",
            
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  "license_title": "WSL Data Policy",
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  "license_title": "WSL Data Policy",
            
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  "license_url": 
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  "license_url": 
            
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ps://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html",
24
ps://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html",
            
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  "maintainer": "{\"affiliation\": \"EPFL\", \"email\": 
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  "maintainer": "{\"affiliation\": \"EPFL\", \"email\": 
            
26
\"ghislain.motos@epfl.ch\", \"given_name\": \"Ghislain\", 
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\"ghislain.motos@epfl.ch\", \"given_name\": \"Ghislain\", 
            
27
\"identifier\": \"0000-0001-6077-5527\", \"name\": \"Motos\"}",
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\"identifier\": \"0000-0001-6077-5527\", \"name\": \"Motos\"}",
            
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  "maintainer_email": null,
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  "maintainer_email": null,
            
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  "metadata_created": "2023-11-02T16:35:25.392075",
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  "metadata_created": "2023-11-02T16:35:25.392075",
            
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  "metadata_modified": "2023-11-03T05:23:02.157213",
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  "metadata_modified": "2023-11-03T05:23:33.566305",
            
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  "name": "nascent-campaign-data-for-motos-et-al-2023",
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  "name": "nascent-campaign-data-for-motos-et-al-2023",
            
32
  "notes": "The data are described in detail in the paper \"Aerosol 
32
  "notes": "The data are described in detail in the paper \"Aerosol 
            
33
and dynamical contributions to cloud droplet formation in Arctic 
33
and dynamical contributions to cloud droplet formation in Arctic 
            
34
low-level clouds\" (https://doi.org/10.5194/egusphere-2023-530, 
34
low-level clouds\" (https://doi.org/10.5194/egusphere-2023-530, 
            
35
2023).\r\nThis dataset includes particle number size distribution data 
35
2023).\r\nThis dataset includes particle number size distribution data 
            
36
from two DMPSs, chemical composition data from a Tof-ACSM, updraft 
36
from two DMPSs, chemical composition data from a Tof-ACSM, updraft 
            
37
velocity from an ultrasonic anemometer and a wind lidar, cloud droplet 
37
velocity from an ultrasonic anemometer and a wind lidar, cloud droplet 
            
38
number concentration from a HOLIMO and meteorological data (wind speed 
38
number concentration from a HOLIMO and meteorological data (wind speed 
            
39
and direction, temperature).\r\nNote that aerosol composition from a 
39
and direction, temperature).\r\nNote that aerosol composition from a 
            
40
filter pack system, organiccarbon massfrom a high volume sampler and 
40
filter pack system, organiccarbon massfrom a high volume sampler and 
            
41
eBC concentration from a MAAP are available on EBAS and therefore not 
41
eBC concentration from a MAAP are available on EBAS and therefore not 
            
42
included here",
42
included here",
            
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  "num_resources": 8,
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  "num_resources": 7,
            
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  "num_tags": 5,
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  "num_tags": 5,
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2020-12-15T13:23:53.004947",
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    "created": "2020-12-15T13:23:53.004947",
            
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    "description": "Our lab studies atmospheric processes and their 
48
    "description": "Our lab studies atmospheric processes and their 
            
49
impacts on climate, health and ecosystems through a combination of 
49
impacts on climate, health and ecosystems through a combination of 
            
50
theory, measurement and modelling. A central focus in our research 
50
theory, measurement and modelling. A central focus in our research 
            
51
program is atmospheric particulate matter (aerosols), and studies 
51
program is atmospheric particulate matter (aerosols), and studies 
            
52
often combine of observations, theory and modeling. We are involved in 
52
often combine of observations, theory and modeling. We are involved in 
            
53
the development of aerosol instrumentation, and measurement techniques 
53
the development of aerosol instrumentation, and measurement techniques 
            
54
required to study processes and constrain parameters. Our group 
54
required to study processes and constrain parameters. Our group 
            
55
develops open-source modules routinely used in air quality and climate 
55
develops open-source modules routinely used in air quality and climate 
            
56
models, as well as tools for advanced sensitivity analysis of large 
56
models, as well as tools for advanced sensitivity analysis of large 
            
57
codes and model reduction/data discovery through emulation and network 
57
codes and model reduction/data discovery through emulation and network 
            
58
analysis. We are also heavily involved in field measurement programs 
58
analysis. We are also heavily involved in field measurement programs 
            
59
on understanding the climate and health impacts of ambient aerosol.",
59
on understanding the climate and health impacts of ambient aerosol.",
            
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    "id": "762494ed-b1ac-40e6-89c7-38b802768e1d",
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    "id": "762494ed-b1ac-40e6-89c7-38b802768e1d",
            
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    "image_url": 
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    "image_url": 
            
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l.ch/labs/lapi/wp-content/uploads/2019/03/LAPI_Twitter-1920x1080.jpg",
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l.ch/labs/lapi/wp-content/uploads/2019/03/LAPI_Twitter-1920x1080.jpg",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "laboratory-of-atmospheric-processes-and-their-impacts",
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    "name": "laboratory-of-atmospheric-processes-and-their-impacts",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "LAPI",
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    "title": "LAPI",
            
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    "type": "organization"
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    "type": "organization"
            
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  },
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  },
            
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  "owner_org": "762494ed-b1ac-40e6-89c7-38b802768e1d",
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  "owner_org": "762494ed-b1ac-40e6-89c7-38b802768e1d",
            
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  "private": false,
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  "private": false,
            
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  "publication": "{\"publication_year\": \"2023\", \"publisher\": 
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  "publication": "{\"publication_year\": \"2023\", \"publisher\": 
            
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\"EnviDat\"}",
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\"EnviDat\"}",
            
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  "publication_state": "pub_pending",
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  "publication_state": "pub_pending",
            
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  "related_datasets": "",
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  "related_datasets": "",
            
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  "related_publications": "https://doi.org/10.5194/egusphere-2023-530, 
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  "related_publications": "https://doi.org/10.5194/egusphere-2023-530, 
            
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2023",
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2023",
            
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  "relationships_as_object": [],
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  "relationships_as_object": [],
            
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  "relationships_as_subject": [],
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  "relationships_as_subject": [],
            
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  "resource_type": "dataset",
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  "resource_type": "dataset",
            
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  "resource_type_general": "dataset",
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  "resource_type_general": "dataset",
            
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  "resources": [
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      "description": "This file contains particle number size 
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      "description": "This file contains particle number size 
            
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distribution from DMPS_1 (named Tintin2).\r\nThe midpoint diameter in 
87
distribution from DMPS_1 (named Tintin2).\r\nThe midpoint diameter in 
            
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nanometers is shown as the first row.\r\nThe distribution is in 
88
nanometers is shown as the first row.\r\nThe distribution is in 
            
116
dN/dlog(dP)\r\n\r\nNote: The midpoint diameters are changed starting 
89
dN/dlog(dP)\r\n\r\nNote: The midpoint diameters are changed starting 
            
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from the 1st of May 2020",
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from the 1st of May 2020",
            
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      "description": "The files contains particle number size 
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      "description": "The files contains particle number size 
            
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distribution from DMPS_2 (Named Nestor)\r\nThe size distributions are 
119
distribution from DMPS_2 (Named Nestor)\r\nThe size distributions are 
            
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dN/dlog(dP)",
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dN/dlog(dP)",
            
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      "size": 1976317,
            
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      "created": "2023-11-02T19:00:34.317295",
            
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      "description": "This files contains chemical composition data 
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      "description": "This files contains chemical composition data 
            
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from a Tof-ACSM",
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from a Tof-ACSM",
            
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      "doi": "",
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      "doi": "",
            
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      "format": ".xlsx",
            
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      "name": "Tof-ACSM chemical composition data",
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      "name": "Tof-ACSM chemical composition data",
            
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