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  "metadata_created": "2023-10-26T15:27:38.432878",
            
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  "metadata_modified": "2023-11-06T14:38:51.108641",
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  "metadata_modified": "2023-11-06T14:58:37.699044",
            
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  "name": 
52
  "name": 
            
53
and-4d-seasonal-analysis-of-water-body-chlorophyll-a-1960-2020-v2023",
53
and-4d-seasonal-analysis-of-water-body-chlorophyll-a-1960-2020-v2023",
            
54
  "notes": "Water body chlorophyll-a - Seasonal Climatology for Po 
54
  "notes": "Water body chlorophyll-a - Seasonal Climatology for Po 
            
55
River for the period 1960-2020 on the domain: Lon E12.0-14.0deg., Lat 
55
River for the period 1960-2020 on the domain: Lon E12.0-14.0deg., Lat 
            
56
N44.0-46.0deg. Data Sources: observational data from 
56
N44.0-46.0deg. Data Sources: observational data from 
            
57
SeaDataNet/EMODNet Chemistry Data Network. Description of DIVA 
57
SeaDataNet/EMODNet Chemistry Data Network. Description of DIVA 
            
58
analysis: The computation was done with the DIVAnd (Data-Interpolating 
58
analysis: The computation was done with the DIVAnd (Data-Interpolating 
            
59
Variational Analysis in n dimensions), version 2.7.9, using GEBCO 
59
Variational Analysis in n dimensions), version 2.7.9, using GEBCO 
            
60
30sec topography for the spatial connectivity of water masses. The 
60
30sec topography for the spatial connectivity of water masses. The 
            
61
horizontal resolution of the produced DIVAnd maps grids is dx=dy=0.009 
61
horizontal resolution of the produced DIVAnd maps grids is dx=dy=0.009 
            
62
degrees (around 975m and 708m accordingly). The vertical resolution is 
62
degrees (around 975m and 708m accordingly). The vertical resolution is 
            
63
14 depth levels: [0., 2., 4., 6., 8., 10., 15., 20., 25., 30., 40., 
63
14 depth levels: [0., 2., 4., 6., 8., 10., 15., 20., 25., 30., 40., 
            
64
50., 60., 70.]. A relative correlation length used based on topography 
64
50., 60., 70.]. A relative correlation length used based on topography 
            
65
gradients and the horizontal correlation length varies from 25 km to 
65
gradients and the horizontal correlation length varies from 25 km to 
            
66
12.5 km. The vertical correlation length (in meters) is: 
66
12.5 km. The vertical correlation length (in meters) is: 
            
67
[4.,4.,4.,4.,4.,10.,10.,10.,10.,20.,20.,20.,20.,20.]. Duplicates check 
67
[4.,4.,4.,4.,4.,10.,10.,10.,10.,20.,20.,20.,20.,20.]. Duplicates check 
            
68
was performed using the following criteria for space and time: 
68
was performed using the following criteria for space and time: 
            
69
dlon=0.01deg., dlat=0.01deg., ddepth=0.01m, dtime=1min, dvalue=0.01. 
69
dlon=0.01deg., dlat=0.01deg., ddepth=0.01m, dtime=1min, dvalue=0.01. 
            
70
The error variance (epsilon2) was set equal to 1. Data weight was 
70
The error variance (epsilon2) was set equal to 1. Data weight was 
            
71
reduced at shallow waters. Data weighting was applied with the 
71
reduced at shallow waters. Data weighting was applied with the 
            
72
following threshold values: lon=0.03, lat=0.03, depth=2. An 
72
following threshold values: lon=0.03, lat=0.03, depth=2. An 
            
73
anamorphosis transformation was applied to the data (function 
73
anamorphosis transformation was applied to the data (function 
            
74
DIVAnd.Anam.loglin) to avoid unrealistic negative values: threshold 
74
DIVAnd.Anam.loglin) to avoid unrealistic negative values: threshold 
            
75
value=200. The mean value was used as background analysis field. 
75
value=200. The mean value was used as background analysis field. 
            
76
Quality control of the observations was applied using the interpolated 
76
Quality control of the observations was applied using the interpolated 
            
77
field (QCMETHOD=3). Residuals (differences between the observations 
77
field (QCMETHOD=3). Residuals (differences between the observations 
            
78
and the analysis (interpolated linearly to the location of the 
78
and the analysis (interpolated linearly to the location of the 
            
79
observations) were calculated. Observations with residuals outside the 
79
observations) were calculated. Observations with residuals outside the 
            
80
minimum and maximum values of the 99% quantile were discarded from the 
80
minimum and maximum values of the 99% quantile were discarded from the 
            
81
analysis. Seasons definition: Winter=Jan-Mar, Spring=Apr-Jun, 
81
analysis. Seasons definition: Winter=Jan-Mar, Spring=Apr-Jun, 
            
82
Summer=Jul-Sep, Autumn=Oct-Dec. Originators of Italian data sets-List 
82
Summer=Jul-Sep, Autumn=Oct-Dec. Originators of Italian data sets-List 
            
83
of contributors: - Brunetti Fabio (OGS) - Cardin Vanessa, Bensi Manuel 
83
of contributors: - Brunetti Fabio (OGS) - Cardin Vanessa, Bensi Manuel 
            
84
doi:10.6092/36728450-4296-4e6a-967d-d5b6da55f306 - Cardin Vanessa, 
84
doi:10.6092/36728450-4296-4e6a-967d-d5b6da55f306 - Cardin Vanessa, 
            
85
Bensi Manuel, Ursella Laura, Siena Giuseppe 
85
Bensi Manuel, Ursella Laura, Siena Giuseppe 
            
86
doi:10.6092/f8e6d18e-f877-4aa5-a983-a03b06ccb987 - Cataletto Bruno 
86
doi:10.6092/f8e6d18e-f877-4aa5-a983-a03b06ccb987 - Cataletto Bruno 
            
87
(OGS) - Cinzia Comici Cinzia (OGS) - Civitarese Giuseppe (OGS) - 
87
(OGS) - Cinzia Comici Cinzia (OGS) - Civitarese Giuseppe (OGS) - 
            
88
DeVittor Cinzia (OGS) - Giani Michele (OGS) - Kovacevic Vedrana (OGS) 
88
DeVittor Cinzia (OGS) - Giani Michele (OGS) - Kovacevic Vedrana (OGS) 
            
89
- Mosetti Renzo (OGS) - Solidoro C.,Beran A.,Cataletto B.,Celussi 
89
- Mosetti Renzo (OGS) - Solidoro C.,Beran A.,Cataletto B.,Celussi 
            
90
M.,Cibic T.,Comici C.,Del Negro P.,De Vittor C.,Minocci M.,Monti 
90
M.,Cibic T.,Comici C.,Del Negro P.,De Vittor C.,Minocci M.,Monti 
            
91
M.,Fabbro C.,Falconi C.,Franzo A.,Libralato S.,Lipizer M.,Negussanti 
91
M.,Fabbro C.,Falconi C.,Franzo A.,Libralato S.,Lipizer M.,Negussanti 
            
92
J.S.,Russel H.,Valli G., 
92
J.S.,Russel H.,Valli G., 
            
93
doi:10.6092/e5518899-b914-43b0-8139-023718aa63f5 - Celio Massimo (ARPA 
93
doi:10.6092/e5518899-b914-43b0-8139-023718aa63f5 - Celio Massimo (ARPA 
            
94
FVG) - Malaguti Antonella (ENEA) - Fonda Umani Serena (UNITS) - 
94
FVG) - Malaguti Antonella (ENEA) - Fonda Umani Serena (UNITS) - 
            
95
Bignami Francesco (ISAC/CNR) - Boldrini Alfredo (ISMAR/CNR) - Marini 
95
Bignami Francesco (ISAC/CNR) - Boldrini Alfredo (ISMAR/CNR) - Marini 
            
96
Mauro (ISMAR/CNR) - Miserocchi Stefano (ISMAR/CNR) - Zaccone Renata 
96
Mauro (ISMAR/CNR) - Miserocchi Stefano (ISMAR/CNR) - Zaccone Renata 
            
97
(IAMC/CNR) - Lavezza, R., Dubroca, L. F. C., Ludicone, D., Kress, N., 
97
(IAMC/CNR) - Lavezza, R., Dubroca, L. F. C., Ludicone, D., Kress, N., 
            
98
Herut, B., Civitarese, G., Cruzado, A., Lef\u00e8vre, 
98
Herut, B., Civitarese, G., Cruzado, A., Lef\u00e8vre, 
            
99
D.,Souvermezoglou, E., Yilmaz, A., Tugrul, S., and Ribera d'Alcala, 
99
D.,Souvermezoglou, E., Yilmaz, A., Tugrul, S., and Ribera d'Alcala, 
            
100
M.: Compilation of quality controlled nutrient profiles from the 
100
M.: Compilation of quality controlled nutrient profiles from the 
            
101
Mediterranean Sea, doi:10.1594/PANGAEA.771907, 2011.",
101
Mediterranean Sea, doi:10.1594/PANGAEA.771907, 2011.",
            
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  "oceanographic-variables": [
            
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    "biochemistry-chlorophyll-a"
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    "biochemistry-chlorophyll-a"
            
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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": "2023-10-03T13:37:52.548819",
            
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    "description": "Team for integration and updating of the Knowledge 
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    "description": "Team for integration and updating of the Knowledge 
            
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Catalogue (metadata catalogue) for MSP on a national scale and 
111
Catalogue (metadata catalogue) for MSP on a national scale and 
            
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Mediterranean projection, with a focus on safeguarding the 
112
Mediterranean projection, with a focus on safeguarding the 
            
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biodiversity of marine ecosystems (Activity 4.1 Knowledge Catalogue 
113
biodiversity of marine ecosystems (Activity 4.1 Knowledge Catalogue 
            
114
for Biodiversity mainstreaming in Maritime Spatial Planning - 
114
for Biodiversity mainstreaming in Maritime Spatial Planning - 
            
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MSP4BIODIVERSITY) within Spoke 2: Solutions to reverse marine 
115
MSP4BIODIVERSITY) within Spoke 2: Solutions to reverse marine 
            
116
biodiversity loss and manage marine resources sustainably of the 
116
biodiversity loss and manage marine resources sustainably of the 
            
117
__National Biodiversity Future Center \u2013 NBFC__\r\n\r\n",
117
__National Biodiversity Future Center \u2013 NBFC__\r\n\r\n",
            
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    "state": "active",
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  "original-abstract": "",
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  "original-abstract": "",
            
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  "original-title": "",
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  "original-title": "Mediterranean Sea - Po River - DIVAnd 4D seasonal 
            
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analysis of Water body chlorophyll-a 1960/2020 v2023",
            
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      "description": "Seasonal Climatology of chlorophyll-a 
            
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      "created": "2023-11-06T14:34:16.399332",
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      "description": "Seasonal Climatology for Po River for the period 
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      "description": "Seasonal Climatology for Po River for the period 
            
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1960-2020 on the domain: Lon E12.0-14.0deg., Lat N44.0-46.0deg. Data 
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1960-2020 on the domain: Lon E12.0-14.0deg., Lat N44.0-46.0deg. Data 
            
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Sources: observational data from SeaDataNet/EMODNet Chemistry Data 
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Sources: observational data from SeaDataNet/EMODNet Chemistry Data 
            
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Network.",
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Network.",
            
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      "format": "WMS",
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      "format": "WMS",
            
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      "hash": "",
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      "hash": "",
            
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      "name": "North Adriatic seasonal climatology - chlorophyll a",
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      "name": "North Adriatic seasonal climatology - chlorophyll a",
            
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      "url": 
            
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net/Python/web/wms?SERVICE=WMS&REQUEST=GetCapabilities&VERSION=1.3.0",
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net/Python/web/wms?SERVICE=WMS&REQUEST=GetCapabilities&VERSION=1.3.0",
            
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      "url_type": null
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      "url_type": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "socio-economic-activities": [],
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  "socio-economic-activities": [],
            
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  "socio-economic-values": [],
            
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  "spatial_geojson": "North Adriatic",
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  "spatial_geojson": "North Adriatic",
            
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  "spatial_representation": "raster",
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  "spatial_representation": "raster",
            
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  "state": "active",
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  "state": "active",
            
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  "sub_category": "Biochemistry\r\nChlorophyll-a",
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  "sub_category": "Biochemistry\r\nChlorophyll-a",
            
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  "tags": [
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  "tags": [
            
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    {
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    {
            
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      "display_name": "EMODnet Chemistry",
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    },
            
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    {
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    },
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    {
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      "display_name": "scientific_research",
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      "display_name": "scientific_research",
            
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      "id": "b715b6a7-db7e-4d0d-974b-6e24f18836de",
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      "id": "b715b6a7-db7e-4d0d-974b-6e24f18836de",
            
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      "name": "scientific_research",
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      "name": "scientific_research",
            
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  ],
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  ],
            
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  "temporal_extent": "1978-05-11",
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  "temporal_extent": "1978-05-11",
            
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  "temporal_extent_end": "2020-07-16",
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  "temporal_extent_end": "2020-07-16",
            
t
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  "title": "Mediterranean Sea - Po River - DIVAnd 4D seasonal analysis 
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  "title": "NAS Chlorophyll a climatology",
            
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of Water body chlorophyll-a 1960/2020 v2023",

            
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  "type": "msp-data",
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  "type": "msp-data",
            
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  "url": null,
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  "validation_level": "research",
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  "web_services_other": ""
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  "web_services_other": ""
            
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}
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}