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4 | "author_email": null, | 4 | "author_email": null, | ||
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6 | "category": "scientific_research", | 6 | "category": "scientific_research", | ||
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10 | "coastal-land-use-and-planning": [], | 10 | "coastal-land-use-and-planning": [], | ||
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21 | "domain_area": "northen_adriatic_sea", | 21 | "domain_area": "northen_adriatic_sea", | ||
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26 | put-of-nutrients-diffuse-sources-point-sources-atmospheric-deposition" | 26 | put-of-nutrients-diffuse-sources-point-sources-atmospheric-deposition" | ||
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28 | "environment-msfd-descriptors-criteria": [ | 28 | "environment-msfd-descriptors-criteria": [ | ||
29 | "d5-eutrophication" | 29 | "d5-eutrophication" | ||
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31 | "environment-non-msfd-classes": [ | 31 | "environment-non-msfd-classes": [ | ||
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40 | mainstreaming in Maritime Spatial Planning (MSP4BIODIVERSITY)", | 40 | mainstreaming in Maritime Spatial Planning (MSP4BIODIVERSITY)", | ||
41 | "display_name": "Italian MSP", | 41 | "display_name": "Italian MSP", | ||
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45 | "name": "italian-msp", | 45 | "name": "italian-msp", | ||
46 | "title": "Italian MSP" | 46 | "title": "Italian MSP" | ||
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53 | "legal-governance-planning-theme": [ | 53 | "legal-governance-planning-theme": [ | ||
54 | "environment-e-g-pollution-and-biodiversity" | 54 | "environment-e-g-pollution-and-biodiversity" | ||
55 | ], | 55 | ], | ||
56 | "legal-governance-planning-who-is-in-charge": "", | 56 | "legal-governance-planning-who-is-in-charge": "", | ||
57 | "license_id": "cc-by", | 57 | "license_id": "cc-by", | ||
58 | "license_title": "Creative Commons Attribution", | 58 | "license_title": "Creative Commons Attribution", | ||
59 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | 59 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | ||
60 | "maintainer": null, | 60 | "maintainer": null, | ||
61 | "maintainer_email": null, | 61 | "maintainer_email": null, | ||
62 | "maritime-activities": [], | 62 | "maritime-activities": [], | ||
63 | "metadata_completeness": "complete", | 63 | "metadata_completeness": "complete", | ||
64 | "metadata_created": "2023-11-06T14:49:59.540580", | 64 | "metadata_created": "2023-11-06T14:49:59.540580", | ||
t | 65 | "metadata_modified": "2025-08-08T08:30:34.976918", | t | 65 | "metadata_modified": "2025-08-08T08:37:35.975494", |
66 | "name": "nas-din-climatology", | 66 | "name": "nas-din-climatology", | ||
67 | "notes": "Dissolved inorganic nitrogen (DIN) - Seasonal Climatology | 67 | "notes": "Dissolved inorganic nitrogen (DIN) - Seasonal Climatology | ||
68 | for Po River for the period 1980-2020 on the domain: Lon | 68 | for Po River for the period 1980-2020 on the domain: Lon | ||
69 | E12.0-14.0deg., Lat N44.0-46.0deg. Data Sources: observational data | 69 | E12.0-14.0deg., Lat N44.0-46.0deg. Data Sources: observational data | ||
70 | from SeaDataNet/EMODNet Chemistry Data Network. Description of DIVA | 70 | from SeaDataNet/EMODNet Chemistry Data Network. Description of DIVA | ||
71 | analysis: The computation was done with the DIVAnd (Data-Interpolating | 71 | analysis: The computation was done with the DIVAnd (Data-Interpolating | ||
72 | Variational Analysis in n dimensions), version 2.7.9, using GEBCO | 72 | Variational Analysis in n dimensions), version 2.7.9, using GEBCO | ||
73 | 30sec topography for the spatial connectivity of water masses. The | 73 | 30sec topography for the spatial connectivity of water masses. The | ||
74 | horizontal resolution of the produced DIVAnd maps grids is dx=dy=0.009 | 74 | horizontal resolution of the produced DIVAnd maps grids is dx=dy=0.009 | ||
75 | degrees (around 975m and 708m accordingly). The vertical resolution is | 75 | degrees (around 975m and 708m accordingly). The vertical resolution is | ||
76 | 14 depth levels: [0., 2., 4., 6., 8., 10., 15., 20., 25., 30., 40., | 76 | 14 depth levels: [0., 2., 4., 6., 8., 10., 15., 20., 25., 30., 40., | ||
77 | 50., 60., 70.]. A relative correlation length used based on topography | 77 | 50., 60., 70.]. A relative correlation length used based on topography | ||
78 | gradients and the horizontal correlation length varies from 25 km to | 78 | gradients and the horizontal correlation length varies from 25 km to | ||
79 | 12.5 km. The vertical correlation length (in meters) is: | 79 | 12.5 km. The vertical correlation length (in meters) is: | ||
80 | [4.,4.,4.,4.,4.,10.,10.,10.,10.,20.,20.,20.,20.,20.]. Duplicates check | 80 | [4.,4.,4.,4.,4.,10.,10.,10.,10.,20.,20.,20.,20.,20.]. Duplicates check | ||
81 | was performed using the following criteria for space and time: | 81 | was performed using the following criteria for space and time: | ||
82 | dlon=0.01deg., dlat=0.01deg., ddepth=0.01m, dtime=1min, dvalue=0.01. | 82 | dlon=0.01deg., dlat=0.01deg., ddepth=0.01m, dtime=1min, dvalue=0.01. | ||
83 | The error variance (epsilon2) was set equal to 1. Data weight was | 83 | The error variance (epsilon2) was set equal to 1. Data weight was | ||
84 | reduced at shallow waters. Data weighting was applied with the | 84 | reduced at shallow waters. Data weighting was applied with the | ||
85 | following threshold values: lon=0.03, lat=0.03, depth=2. An | 85 | following threshold values: lon=0.03, lat=0.03, depth=2. An | ||
86 | anamorphosis transformation was applied to the data (function | 86 | anamorphosis transformation was applied to the data (function | ||
87 | DIVAnd.Anam.loglin) to avoid unrealistic negative values: threshold | 87 | DIVAnd.Anam.loglin) to avoid unrealistic negative values: threshold | ||
88 | value=200. The mean value was used as background analysis field. | 88 | value=200. The mean value was used as background analysis field. | ||
89 | Quality control of the observations was applied using the interpolated | 89 | Quality control of the observations was applied using the interpolated | ||
90 | field (QCMETHOD=3). Residuals (differences between the observations | 90 | field (QCMETHOD=3). Residuals (differences between the observations | ||
91 | and the analysis (interpolated linearly to the location of the | 91 | and the analysis (interpolated linearly to the location of the | ||
92 | observations) were calculated. Observations with residuals outside the | 92 | observations) were calculated. Observations with residuals outside the | ||
93 | minimum and maximum values of the 99% quantile were discarded from the | 93 | minimum and maximum values of the 99% quantile were discarded from the | ||
94 | analysis. Seasons definition: Winter=Jan-Mar, Spring=Apr-Jun, | 94 | analysis. Seasons definition: Winter=Jan-Mar, Spring=Apr-Jun, | ||
95 | Summer=Jul-Sep, Autumn=Oct-Dec. Originators of Italian data sets-List | 95 | Summer=Jul-Sep, Autumn=Oct-Dec. Originators of Italian data sets-List | ||
96 | of contributors: - Brunetti Fabio (OGS) - Cardin Vanessa, Bensi Manuel | 96 | of contributors: - Brunetti Fabio (OGS) - Cardin Vanessa, Bensi Manuel | ||
97 | doi:10.6092/36728450-4296-4e6a-967d-d5b6da55f306 - Cardin Vanessa, | 97 | doi:10.6092/36728450-4296-4e6a-967d-d5b6da55f306 - Cardin Vanessa, | ||
98 | Bensi Manuel, Ursella Laura, Siena Giuseppe | 98 | Bensi Manuel, Ursella Laura, Siena Giuseppe | ||
99 | doi:10.6092/f8e6d18e-f877-4aa5-a983-a03b06ccb987 - Cataletto Bruno | 99 | doi:10.6092/f8e6d18e-f877-4aa5-a983-a03b06ccb987 - Cataletto Bruno | ||
100 | (OGS) - Cinzia Comici Cinzia (OGS) - Civitarese Giuseppe (OGS) - | 100 | (OGS) - Cinzia Comici Cinzia (OGS) - Civitarese Giuseppe (OGS) - | ||
101 | DeVittor Cinzia (OGS) - Giani Michele (OGS) - Kovacevic Vedrana (OGS) | 101 | DeVittor Cinzia (OGS) - Giani Michele (OGS) - Kovacevic Vedrana (OGS) | ||
102 | - Mosetti Renzo (OGS) - Solidoro C.,Beran A.,Cataletto B.,Celussi | 102 | - Mosetti Renzo (OGS) - Solidoro C.,Beran A.,Cataletto B.,Celussi | ||
103 | M.,Cibic T.,Comici C.,Del Negro P.,De Vittor C.,Minocci M.,Monti | 103 | M.,Cibic T.,Comici C.,Del Negro P.,De Vittor C.,Minocci M.,Monti | ||
104 | M.,Fabbro C.,Falconi C.,Franzo A.,Libralato S.,Lipizer M.,Negussanti | 104 | M.,Fabbro C.,Falconi C.,Franzo A.,Libralato S.,Lipizer M.,Negussanti | ||
105 | J.S.,Russel H.,Valli G., | 105 | J.S.,Russel H.,Valli G., | ||
106 | doi:10.6092/e5518899-b914-43b0-8139-023718aa63f5 - Celio Massimo (ARPA | 106 | doi:10.6092/e5518899-b914-43b0-8139-023718aa63f5 - Celio Massimo (ARPA | ||
107 | FVG) - Malaguti Antonella (ENEA) - Fonda Umani Serena (UNITS) - | 107 | FVG) - Malaguti Antonella (ENEA) - Fonda Umani Serena (UNITS) - | ||
108 | Bignami Francesco (ISAC/CNR) - Boldrini Alfredo (ISMAR/CNR) - Marini | 108 | Bignami Francesco (ISAC/CNR) - Boldrini Alfredo (ISMAR/CNR) - Marini | ||
109 | Mauro (ISMAR/CNR) - Miserocchi Stefano (ISMAR/CNR) - Zaccone Renata | 109 | Mauro (ISMAR/CNR) - Miserocchi Stefano (ISMAR/CNR) - Zaccone Renata | ||
110 | (IAMC/CNR) - Lavezza, R., Dubroca, L. F. C., Ludicone, D., Kress, N., | 110 | (IAMC/CNR) - Lavezza, R., Dubroca, L. F. C., Ludicone, D., Kress, N., | ||
111 | Herut, B., Civitarese, G., Cruzado, A., Lef\u00e8vre, | 111 | Herut, B., Civitarese, G., Cruzado, A., Lef\u00e8vre, | ||
112 | D.,Souvermezoglou, E., Yilmaz, A., Tugrul, S., and Ribera d'Alcala, | 112 | D.,Souvermezoglou, E., Yilmaz, A., Tugrul, S., and Ribera d'Alcala, | ||
113 | M.: Compilation of quality controlled nutrient profiles from the | 113 | M.: Compilation of quality controlled nutrient profiles from the | ||
114 | Mediterranean Sea, doi:10.1594/PANGAEA.771907, 2011.", | 114 | Mediterranean Sea, doi:10.1594/PANGAEA.771907, 2011.", | ||
115 | "num_resources": 3, | 115 | "num_resources": 3, | ||
116 | "num_tags": 4, | 116 | "num_tags": 4, | ||
117 | "oceanographic-variables": [ | 117 | "oceanographic-variables": [ | ||
118 | "biochemistry-nutrients" | 118 | "biochemistry-nutrients" | ||
119 | ], | 119 | ], | ||
120 | "organization": { | 120 | "organization": { | ||
121 | "approval_status": "approved", | 121 | "approval_status": "approved", | ||
122 | "created": "2023-10-03T13:37:52.548819", | 122 | "created": "2023-10-03T13:37:52.548819", | ||
123 | "description": "Team for integration and updating of the Knowledge | 123 | "description": "Team for integration and updating of the Knowledge | ||
124 | Catalogue (metadata catalogue) for MSP on a national scale and | 124 | Catalogue (metadata catalogue) for MSP on a national scale and | ||
125 | Mediterranean projection, with a focus on safeguarding the | 125 | Mediterranean projection, with a focus on safeguarding the | ||
126 | biodiversity of marine ecosystems (Activity 4.1 Knowledge Catalogue | 126 | biodiversity of marine ecosystems (Activity 4.1 Knowledge Catalogue | ||
127 | for Biodiversity mainstreaming in Maritime Spatial Planning - | 127 | for Biodiversity mainstreaming in Maritime Spatial Planning - | ||
128 | MSP4BIODIVERSITY) within Spoke 2: Solutions to reverse marine | 128 | MSP4BIODIVERSITY) within Spoke 2: Solutions to reverse marine | ||
129 | biodiversity loss and manage marine resources sustainably of the | 129 | biodiversity loss and manage marine resources sustainably of the | ||
130 | __National Biodiversity Future Center \u2013 NBFC__\r\n\r\n", | 130 | __National Biodiversity Future Center \u2013 NBFC__\r\n\r\n", | ||
131 | "id": "8ed582af-8314-4998-b7e4-9de7cd1975dd", | 131 | "id": "8ed582af-8314-4998-b7e4-9de7cd1975dd", | ||
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133 | "is_organization": true, | 133 | "is_organization": true, | ||
134 | "name": "msp-italy-working-team", | 134 | "name": "msp-italy-working-team", | ||
135 | "state": "active", | 135 | "state": "active", | ||
136 | "title": "MSP-Italy Working Team", | 136 | "title": "MSP-Italy Working Team", | ||
137 | "type": "organization" | 137 | "type": "organization" | ||
138 | }, | 138 | }, | ||
139 | "original-abstract": "", | 139 | "original-abstract": "", | ||
140 | "original-title": "Mediterranean Sea - Po River - DIVAnd 4D seasonal | 140 | "original-title": "Mediterranean Sea - Po River - DIVAnd 4D seasonal | ||
141 | analysis of Water body dissolved inorganic nitrogen (DIN) 1980/2020 | 141 | analysis of Water body dissolved inorganic nitrogen (DIN) 1980/2020 | ||
142 | v2023", | 142 | v2023", | ||
143 | "owner": "EMODnet Chemistry", | 143 | "owner": "EMODnet Chemistry", | ||
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151 | "relationships_as_subject": [], | 151 | "relationships_as_subject": [], | ||
152 | "relevance-spatial-and-temporal": [ | 152 | "relevance-spatial-and-temporal": [ | ||
153 | "international-present-low", | 153 | "international-present-low", | ||
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168 | "description": "\tWMS layer for Water body dissolved inorganic | 168 | "description": "\tWMS layer for Water body dissolved inorganic | ||
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237 | "socio-economic-activities": [], | 237 | "socio-economic-activities": [], | ||
238 | "socio-economic-demography": [], | 238 | "socio-economic-demography": [], | ||
239 | "socio-economic-values": [], | 239 | "socio-economic-values": [], | ||
240 | "spatial_geojson": "North Adriatic", | 240 | "spatial_geojson": "North Adriatic", | ||
241 | "spatial_representation": "raster", | 241 | "spatial_representation": "raster", | ||
242 | "state": "active", | 242 | "state": "active", | ||
243 | "sub_category": "oceanography", | 243 | "sub_category": "oceanography", | ||
244 | "tags": [ | 244 | "tags": [ | ||
245 | { | 245 | { | ||
246 | "display_name": "EMODnet", | 246 | "display_name": "EMODnet", | ||
247 | "id": "e7848d5d-7acd-4d27-bdb2-1621f3972408", | 247 | "id": "e7848d5d-7acd-4d27-bdb2-1621f3972408", | ||
248 | "name": "EMODnet", | 248 | "name": "EMODnet", | ||
249 | "state": "active", | 249 | "state": "active", | ||
250 | "vocabulary_id": null | 250 | "vocabulary_id": null | ||
251 | }, | 251 | }, | ||
252 | { | 252 | { | ||
253 | "display_name": "EMODnet Chemistry", | 253 | "display_name": "EMODnet Chemistry", | ||
254 | "id": "a5dd60e2-6473-4d02-a032-82db042a68b7", | 254 | "id": "a5dd60e2-6473-4d02-a032-82db042a68b7", | ||
255 | "name": "EMODnet Chemistry", | 255 | "name": "EMODnet Chemistry", | ||
256 | "state": "active", | 256 | "state": "active", | ||
257 | "vocabulary_id": null | 257 | "vocabulary_id": null | ||
258 | }, | 258 | }, | ||
259 | { | 259 | { | ||
260 | "display_name": "northen_adriatic_sea", | 260 | "display_name": "northen_adriatic_sea", | ||
261 | "id": "e3ac9448-3e06-4335-b761-8beca5f866bd", | 261 | "id": "e3ac9448-3e06-4335-b761-8beca5f866bd", | ||
262 | "name": "northen_adriatic_sea", | 262 | "name": "northen_adriatic_sea", | ||
263 | "state": "active", | 263 | "state": "active", | ||
264 | "vocabulary_id": null | 264 | "vocabulary_id": null | ||
265 | }, | 265 | }, | ||
266 | { | 266 | { | ||
267 | "display_name": "scientific_research", | 267 | "display_name": "scientific_research", | ||
268 | "id": "b715b6a7-db7e-4d0d-974b-6e24f18836de", | 268 | "id": "b715b6a7-db7e-4d0d-974b-6e24f18836de", | ||
269 | "name": "scientific_research", | 269 | "name": "scientific_research", | ||
270 | "state": "active", | 270 | "state": "active", | ||
271 | "vocabulary_id": null | 271 | "vocabulary_id": null | ||
272 | } | 272 | } | ||
273 | ], | 273 | ], | ||
274 | "temporal_extent": "1980-02-21", | 274 | "temporal_extent": "1980-02-21", | ||
275 | "temporal_extent_end": "2020-10-29", | 275 | "temporal_extent_end": "2020-10-29", | ||
276 | "title": "NAS - North Adriatic Sea DIN Climatology", | 276 | "title": "NAS - North Adriatic Sea DIN Climatology", | ||
277 | "type": "msp-data", | 277 | "type": "msp-data", | ||
278 | "url": null, | 278 | "url": null, | ||
279 | "validation_level": "research", | 279 | "validation_level": "research", | ||
280 | "version": null, | 280 | "version": null, | ||
281 | "web_services": [ | 281 | "web_services": [ | ||
282 | "OGC_WMS" | 282 | "OGC_WMS" | ||
283 | ], | 283 | ], | ||
284 | "web_services_other": "" | 284 | "web_services_other": "" | ||
285 | } | 285 | } |