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  "license_url": "http://www.opendefinition.org/licenses/cc-by",
            
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  "maritime-activities": [],
            
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  "metadata_completeness": "",
            
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  "metadata_created": "2025-01-21T14:11:15.048723",
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  "metadata_created": "2025-01-21T14:11:15.048723",
            
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  "metadata_modified": "2025-08-08T08:50:25.308422",
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  "metadata_modified": "2025-08-08T09:08:11.554637",
            
57
  "name": 
57
  "name": 
            
58
"mediterranean-sea-water-body-dissolved-oxygen-seasonal-climatology",
58
"mediterranean-sea-water-body-dissolved-oxygen-seasonal-climatology",
            
59
  "notes": "Moving 6-year analysis of Water body dissolved oxygen 
59
  "notes": "Moving 6-year analysis of Water body dissolved oxygen 
            
60
concentration in the Mediterranean Sea for each season:\r\n- winter: 
60
concentration in the Mediterranean Sea for each season:\r\n- winter: 
            
61
January-March,\r\n- spring: April-June,\r\n- summer: 
61
January-March,\r\n- spring: April-June,\r\n- summer: 
            
62
July-September,\r\n- autumn: October-December. \r\nEvery year of the 
62
July-September,\r\n- autumn: October-December. \r\nEvery year of the 
            
63
time dimension corresponds to the 6-year centered average of the 
63
time dimension corresponds to the 6-year centered average of the 
            
64
season.\r\n6-years periods span from 1971-1976 until 
64
season.\r\n6-years periods span from 1971-1976 until 
            
65
2017-2022.\r\nData Sources: observational data from SeaDataNet/EMODNet 
65
2017-2022.\r\nData Sources: observational data from SeaDataNet/EMODNet 
            
66
Chemistry Data Network.\r\nDescription of DIVA analysis: The 
66
Chemistry Data Network.\r\nDescription of DIVA analysis: The 
            
67
computation was done with the DIVAnd (Data-Interpolating Variational 
67
computation was done with the DIVAnd (Data-Interpolating Variational 
            
68
Analysis in n dimensions), version 2.7.9, using GEBCO 30sec topography 
68
Analysis in n dimensions), version 2.7.9, using GEBCO 30sec topography 
            
69
for the spatial connectivity of water masses.\r\nThe horizontal 
69
for the spatial connectivity of water masses.\r\nThe horizontal 
            
70
resolution of the produced DIVAnd maps grids is dx=dy=0.125 degrees 
70
resolution of the produced DIVAnd maps grids is dx=dy=0.125 degrees 
            
71
(around 13.5km and 10.9km accordingly).\r\nThe vertical resolution is 
71
(around 13.5km and 10.9km accordingly).\r\nThe vertical resolution is 
            
72
27 depth levels: 
72
27 depth levels: 
            
73
00.,800.,900.,1000.,1100.,1200.,1300.,1400.,1500.,1750.,2000.].\r\nThe 
73
00.,800.,900.,1000.,1100.,1200.,1300.,1400.,1500.,1750.,2000.].\r\nThe 
            
74
horizontal correlation length is 200km.\r\nThe vertical correlation 
74
horizontal correlation length is 200km.\r\nThe vertical correlation 
            
75
length (in meters) was set twices the vertical resolution: 
75
length (in meters) was set twices the vertical resolution: 
            
76
00.,200.,200.,200.,200.,200.,200.,200.,200.,200.,200.,500.,500.,500.]. 
76
00.,200.,200.,200.,200.,200.,200.,200.,200.,200.,200.,500.,500.,500.]. 
            
77
\r\nDuplicates check was performed using the following criteria for 
77
\r\nDuplicates check was performed using the following criteria for 
            
78
space and time: dlon=0.001deg., dlat=0.001deg., ddepth=1m, 
78
space and time: dlon=0.001deg., dlat=0.001deg., ddepth=1m, 
            
79
dtime=1hour, dvalue=0.1.\r\nThe error variance (epsilon2) was set 
79
dtime=1hour, dvalue=0.1.\r\nThe error variance (epsilon2) was set 
            
80
equal to 1 for profiles and 10 for time series to reduce the influence 
80
equal to 1 for profiles and 10 for time series to reduce the influence 
            
81
of close data near the coasts.\r\nAn anamorphosis transformation was 
81
of close data near the coasts.\r\nAn anamorphosis transformation was 
            
82
applied to the data (function DIVAnd.Anam.loglin) to avoid unrealistic 
82
applied to the data (function DIVAnd.Anam.loglin) to avoid unrealistic 
            
83
negative values: threshold value=200.\r\nA background analysis field 
83
negative values: threshold value=200.\r\nA background analysis field 
            
84
was used for all years (1971-2022) with correlation length equal to 
84
was used for all years (1971-2022) with correlation length equal to 
            
85
600km and error variance (epsilon2) equal to 20.\r\nQuality control of 
85
600km and error variance (epsilon2) equal to 20.\r\nQuality control of 
            
86
the observations was applied using the interpolated field 
86
the observations was applied using the interpolated field 
            
87
(QCMETHOD=3). Residuals (differences between the observations and the 
87
(QCMETHOD=3). Residuals (differences between the observations and the 
            
88
analysis (interpolated linearly to the location of the observations) 
88
analysis (interpolated linearly to the location of the observations) 
            
89
were calculated. Observations with residuals outside the minimum and 
89
were calculated. Observations with residuals outside the minimum and 
            
90
maximum values of the 99% quantile were discarded from the analysis. 
90
maximum values of the 99% quantile were discarded from the analysis. 
            
91
\r\nOriginators of Italian data sets-List of contributors:\r\n- 
91
\r\nOriginators of Italian data sets-List of contributors:\r\n- 
            
92
Brunetti Fabio (OGS)\r\n- Cardin Vanessa, Bensi Manuel 
92
Brunetti Fabio (OGS)\r\n- Cardin Vanessa, Bensi Manuel 
            
93
doi:10.6092/36728450-4296-4e6a-967d-d5b6da55f306\r\n- Cardin Vanessa, 
93
doi:10.6092/36728450-4296-4e6a-967d-d5b6da55f306\r\n- Cardin Vanessa, 
            
94
Bensi Manuel, Ursella Laura, Siena Giuseppe 
94
Bensi Manuel, Ursella Laura, Siena Giuseppe 
            
95
doi:10.6092/f8e6d18e-f877-4aa5-a983-a03b06ccb987\r\n- Cataletto Bruno 
95
doi:10.6092/f8e6d18e-f877-4aa5-a983-a03b06ccb987\r\n- Cataletto Bruno 
            
96
(OGS)\r\n- Cinzia Comici Cinzia (OGS)\r\n- Civitarese Giuseppe 
96
(OGS)\r\n- Cinzia Comici Cinzia (OGS)\r\n- Civitarese Giuseppe 
            
97
(OGS)\r\n- DeVittor Cinzia (OGS)\r\n- Giani Michele (OGS)\r\n- 
97
(OGS)\r\n- DeVittor Cinzia (OGS)\r\n- Giani Michele (OGS)\r\n- 
            
98
Kovacevic Vedrana (OGS)\r\n- Mosetti Renzo (OGS)\r\n- Solidoro 
98
Kovacevic Vedrana (OGS)\r\n- Mosetti Renzo (OGS)\r\n- Solidoro 
            
99
C.,Beran A.,Cataletto B.,Celussi M.,Cibic T.,Comici C.,Del Negro P.,De 
99
C.,Beran A.,Cataletto B.,Celussi M.,Cibic T.,Comici C.,Del Negro P.,De 
            
100
Vittor C.,Minocci M.,Monti M.,Fabbro C.,Falconi C.,Franzo A.,Libralato 
100
Vittor C.,Minocci M.,Monti M.,Fabbro C.,Falconi C.,Franzo A.,Libralato 
            
101
S.,Lipizer M.,Negussanti J.S.,Russel H.,Valli G., 
101
S.,Lipizer M.,Negussanti J.S.,Russel H.,Valli G., 
            
102
doi:10.6092/e5518899-b914-43b0-8139-023718aa63f5\r\n- Celio Massimo 
102
doi:10.6092/e5518899-b914-43b0-8139-023718aa63f5\r\n- Celio Massimo 
            
103
(ARPA FVG)\r\n- Malaguti Antonella (ENEA)\r\n- Fonda Umani Serena 
103
(ARPA FVG)\r\n- Malaguti Antonella (ENEA)\r\n- Fonda Umani Serena 
            
104
(UNITS)\r\n- Bignami Francesco (ISAC/CNR)\r\n- Boldrini Alfredo 
104
(UNITS)\r\n- Bignami Francesco (ISAC/CNR)\r\n- Boldrini Alfredo 
            
105
(ISMAR/CNR)\r\n- Marini Mauro (ISMAR/CNR)\r\n- Miserocchi Stefano 
105
(ISMAR/CNR)\r\n- Marini Mauro (ISMAR/CNR)\r\n- Miserocchi Stefano 
            
106
(ISMAR/CNR)\r\n- Zaccone Renata (IAMC/CNR)\r\n- Lavezza, R., Dubroca, 
106
(ISMAR/CNR)\r\n- Zaccone Renata (IAMC/CNR)\r\n- Lavezza, R., Dubroca, 
            
107
L. F. C., Ludicone, D., Kress, N., Herut, B., Civitarese, G., Cruzado, 
107
L. F. C., Ludicone, D., Kress, N., Herut, B., Civitarese, G., Cruzado, 
            
108
A., Lef\u00e8vre, D.,Souvermezoglou, E., Yilmaz, A., Tugrul, S., and 
108
A., Lef\u00e8vre, D.,Souvermezoglou, E., Yilmaz, A., Tugrul, S., and 
            
109
Ribera d'Alcala, M.: Compilation of quality controlled nutrient 
109
Ribera d'Alcala, M.: Compilation of quality controlled nutrient 
            
110
profiles from the Mediterranean Sea, doi:10.1594/PANGAEA.771907, 
110
profiles from the Mediterranean Sea, doi:10.1594/PANGAEA.771907, 
            
111
2011.",
111
2011.",
            
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  "num_tags": 3,
            
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  "oceanographic-variables": [
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  "oceanographic-variables": [
            
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    "biochemistry-oxygen"
115
    "biochemistry-oxygen"
            
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  ],
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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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    "created": "2023-10-03T13:37:52.548819",
            
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    "description": "Team for integration and updating of the Knowledge 
120
    "description": "Team for integration and updating of the Knowledge 
            
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Catalogue (metadata catalogue) for MSP on a national scale and 
121
Catalogue (metadata catalogue) for MSP on a national scale and 
            
122
Mediterranean projection, with a focus on safeguarding the 
122
Mediterranean projection, with a focus on safeguarding the 
            
123
biodiversity of marine ecosystems (Activity 4.1 Knowledge Catalogue 
123
biodiversity of marine ecosystems (Activity 4.1 Knowledge Catalogue 
            
124
for Biodiversity mainstreaming in Maritime Spatial Planning - 
124
for Biodiversity mainstreaming in Maritime Spatial Planning - 
            
125
MSP4BIODIVERSITY) within Spoke 2: Solutions to reverse marine 
125
MSP4BIODIVERSITY) within Spoke 2: Solutions to reverse marine 
            
126
biodiversity loss and manage marine resources sustainably of the 
126
biodiversity loss and manage marine resources sustainably of the 
            
127
__National Biodiversity Future Center \u2013 NBFC__\r\n\r\n",
127
__National Biodiversity Future Center \u2013 NBFC__\r\n\r\n",
            
128
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "msp-italy-working-team",
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    "name": "msp-italy-working-team",
            
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    "state": "active",
132
    "state": "active",
            
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    "title": "MSP-Italy Working Team",
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    "title": "MSP-Italy Working Team",
            
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    "type": "organization"
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    "type": "organization"
            
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  },
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  },
            
136
  "original-abstract": "",
136
  "original-abstract": "",
            
137
  "original-title": "Mediterranean Sea - DIVAnd 4D 6-year seasonal 
137
  "original-title": "Mediterranean Sea - DIVAnd 4D 6-year seasonal 
            
138
analysis of Water body dissolved oxygen concentration 1971/2022 
138
analysis of Water body dissolved oxygen concentration 1971/2022 
            
139
v2023",
139
v2023",
            
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  "owner": "EMODnet Chemistry",
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  "owner": "EMODnet Chemistry",
            
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  "pdm_testing_relevance": [],
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  "pdm_testing_relevance": [],
            
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  "presentation_form": "map",
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  "presentation_form": "map",
            
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  "private": false,
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  "private": false,
            
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  "provider": "EMODnet Chemistry",
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  "provider": "EMODnet Chemistry",
            
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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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  "relevance-spatial-and-temporal": [],
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  "relevance-spatial-and-temporal": [],
            
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  "resources": [
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      "datastore_active": false,
            
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      "description": "",
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      "description": "",
            
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      "format": "HTML",
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      "format": "HTML",
            
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      "hash": "",
            
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      "metadata_modified": "2025-01-21T14:15:02.173543",
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      "mspkc_resource_type": "MapViewer",
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      "mspkc_resource_type": "MapViewer",
            
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      "name": "Mediterranean Sea Dissolved Oxygen map",
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      "name": "Mediterranean Sea Dissolved Oxygen map",
            
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