f
1
{
f
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{
            
2
  "additional_informations": "",
2
  "additional_informations": "",
            
3
  "author": null,
3
  "author": null,
            
4
  "author_email": null,
4
  "author_email": null,
            
5
  "autonotes": "",
5
  "autonotes": "",
            
6
  "category": "types_of_habitat",
6
  "category": "types_of_habitat",
            
7
  "child_of_string": "",
7
  "child_of_string": "",
            
8
  "children": "",
8
  "children": "",
            
9
  "clusters": [
9
  "clusters": [
            
10
    "environment",
10
    "environment",
            
11
    "coastal-land-use-and-planning",
11
    "coastal-land-use-and-planning",
            
12
    "legal-governance-planning"
12
    "legal-governance-planning"
            
13
  ],
13
  ],
            
14
  "coastal-land-use-and-planning": [
14
  "coastal-land-use-and-planning": [
            
15
    "planning-strategic-national-eu-regulated",
15
    "planning-strategic-national-eu-regulated",
            
16
    "planning-strategic-national-others",
16
    "planning-strategic-national-others",
            
17
    "planning-strategic-subnational",
17
    "planning-strategic-subnational",
            
18
    "planning-strategic-local",
18
    "planning-strategic-local",
            
19
    "planning-coordination-sub-national",
19
    "planning-coordination-sub-national",
            
20
    "planning-operational-sub-national"
20
    "planning-operational-sub-national"
            
21
  ],
21
  ],
            
22
  "conservation-types": [],
22
  "conservation-types": [],
            
23
  "creator_user_id": "c1526409-0a5f-4f99-9221-d0b97cff0942",
23
  "creator_user_id": "c1526409-0a5f-4f99-9221-d0b97cff0942",
            
24
  "crs": [
24
  "crs": [
            
25
    "other"
25
    "other"
            
26
  ],
26
  ],
            
27
  "crs_other": "",
27
  "crs_other": "",
            
28
  "data_accessibility": "Data available on request. Article still not 
28
  "data_accessibility": "Data available on request. Article still not 
            
29
published so avoid external sharing. contact mfianchini@ogs.it",
29
published so avoid external sharing. contact mfianchini@ogs.it",
            
30
  "data_portal": "",
30
  "data_portal": "",
            
31
  "derived": "",
31
  "derived": "",
            
32
  "derives_from_string": "",
32
  "derives_from_string": "",
            
33
  "domain_area": "mediterranean_sea",
33
  "domain_area": "mediterranean_sea",
            
34
  "ecosystem-services": [],
34
  "ecosystem-services": [],
            
35
  "environment-msfd-classes": [
35
  "environment-msfd-classes": [
            
36
    "habitats-seabed",
36
    "habitats-seabed",
            
37
    "pressure-biological-input-or-spread-of-non-indigenous-species"
37
    "pressure-biological-input-or-spread-of-non-indigenous-species"
            
38
  ],
38
  ],
            
39
  "environment-msfd-descriptors-criteria": [
39
  "environment-msfd-descriptors-criteria": [
            
40
    "d2-non-indigenous-species",
40
    "d2-non-indigenous-species",
            
41
    "d6-sea-floor-integrity-d1-biodiversity-benthic-habitats",
41
    "d6-sea-floor-integrity-d1-biodiversity-benthic-habitats",
            
42
    "d1c4-population-distributional-range-and-pattern"
42
    "d1c4-population-distributional-range-and-pattern"
            
43
  ],
43
  ],
            
44
  "environment-non-msfd-classes": [],
44
  "environment-non-msfd-classes": [],
            
45
  "environment-wfd": [
45
  "environment-wfd": [
            
46
    "ecological-status"
46
    "ecological-status"
            
47
  ],
47
  ],
            
48
  "groups": [],
48
  "groups": [],
            
49
  "id": "0d3b1c38-997e-48ec-be94-96b164f291da",
49
  "id": "0d3b1c38-997e-48ec-be94-96b164f291da",
            
50
  "isopen": false,
50
  "isopen": false,
            
51
  "language": "eng",
51
  "language": "eng",
            
52
  "legal-governance-planning-function": [],
52
  "legal-governance-planning-function": [],
            
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
    "conservation-i-e-protected-areas"
55
    "conservation-i-e-protected-areas"
            
56
  ],
56
  ],
            
57
  "legal-governance-planning-who-is-in-charge": "",
57
  "legal-governance-planning-who-is-in-charge": "",
            
58
  "license_id": "notspecified",
58
  "license_id": "notspecified",
            
59
  "license_title": "License not specified",
59
  "license_title": "License not specified",
            
60
  "maintainer": null,
60
  "maintainer": null,
            
61
  "maintainer_email": null,
61
  "maintainer_email": null,
            
62
  "maritime-activities": [],
62
  "maritime-activities": [],
            
63
  "metadata_completeness": "draft",
63
  "metadata_completeness": "draft",
            
64
  "metadata_created": "2025-03-28T16:16:25.205447",
64
  "metadata_created": "2025-03-28T16:16:25.205447",
            
t
65
  "metadata_modified": "2025-08-08T08:50:51.881577",
t
65
  "metadata_modified": "2025-08-08T09:07:52.128835",
            
66
  "name": "probability-of-occurrence-caulerpa",
66
  "name": "probability-of-occurrence-caulerpa",
            
67
  "notes": "Annual probability of occurrence maps for Caulerpa 
67
  "notes": "Annual probability of occurrence maps for Caulerpa 
            
68
cylindracea. The dataset covers the entire Mediterranean basin, even 
68
cylindracea. The dataset covers the entire Mediterranean basin, even 
            
69
if the predicted P of occurrence is limited to cover \"euphotic\" 
69
if the predicted P of occurrence is limited to cover \"euphotic\" 
            
70
zones (cells with depths greater than 200m are masked). Temporally, it 
70
zones (cells with depths greater than 200m are masked). Temporally, it 
            
71
spans from 2000 to 2050. For the future conditions (2020-2050) we 
71
spans from 2000 to 2050. For the future conditions (2020-2050) we 
            
72
follows the RCP8.5 projections scenario.\r\nThree possible 
72
follows the RCP8.5 projections scenario.\r\nThree possible 
            
73
classification thresholds can be applied, to provide a \"scenario 
73
classification thresholds can be applied, to provide a \"scenario 
            
74
exploration\". Methodology and results comes from the work of 
74
exploration\". Methodology and results comes from the work of 
            
75
Fianchini et al. (2025), still not available publicly.",
75
Fianchini et al. (2025), still not available publicly.",
            
76
  "num_resources": 1,
76
  "num_resources": 1,
            
77
  "num_tags": 3,
77
  "num_tags": 3,
            
78
  "oceanographic-variables": [],
78
  "oceanographic-variables": [],
            
79
  "organization": {
79
  "organization": {
            
80
    "approval_status": "approved",
80
    "approval_status": "approved",
            
81
    "created": "2023-10-03T13:37:52.548819",
81
    "created": "2023-10-03T13:37:52.548819",
            
82
    "description": "Team for integration and updating of the Knowledge 
82
    "description": "Team for integration and updating of the Knowledge 
            
83
Catalogue (metadata catalogue) for MSP on a national scale and 
83
Catalogue (metadata catalogue) for MSP on a national scale and 
            
84
Mediterranean projection, with a focus on safeguarding the 
84
Mediterranean projection, with a focus on safeguarding the 
            
85
biodiversity of marine ecosystems (Activity 4.1 Knowledge Catalogue 
85
biodiversity of marine ecosystems (Activity 4.1 Knowledge Catalogue 
            
86
for Biodiversity mainstreaming in Maritime Spatial Planning - 
86
for Biodiversity mainstreaming in Maritime Spatial Planning - 
            
87
MSP4BIODIVERSITY) within Spoke 2: Solutions to reverse marine 
87
MSP4BIODIVERSITY) within Spoke 2: Solutions to reverse marine 
            
88
biodiversity loss and manage marine resources sustainably of the 
88
biodiversity loss and manage marine resources sustainably of the 
            
89
__National Biodiversity Future Center \u2013 NBFC__\r\n\r\n",
89
__National Biodiversity Future Center \u2013 NBFC__\r\n\r\n",
            
90
    "id": "8ed582af-8314-4998-b7e4-9de7cd1975dd",
90
    "id": "8ed582af-8314-4998-b7e4-9de7cd1975dd",
            
91
    "image_url": "2023-10-03-143557.861877LogoNBFCRGB.png",
91
    "image_url": "2023-10-03-143557.861877LogoNBFCRGB.png",
            
92
    "is_organization": true,
92
    "is_organization": true,
            
93
    "name": "msp-italy-working-team",
93
    "name": "msp-italy-working-team",
            
94
    "state": "active",
94
    "state": "active",
            
95
    "title": "MSP-Italy Working Team",
95
    "title": "MSP-Italy Working Team",
            
96
    "type": "organization"
96
    "type": "organization"
            
97
  },
97
  },
            
98
  "original-abstract": "The rapid spread of Invasive Alien Species 
98
  "original-abstract": "The rapid spread of Invasive Alien Species 
            
99
(IAS) underlines the urgent need for predictive modelling to 
99
(IAS) underlines the urgent need for predictive modelling to 
            
100
accurately forecast future spread under climate change. Correlative 
100
accurately forecast future spread under climate change. Correlative 
            
101
Ecological Niche Models (ENMs) serve this purpose, but often struggle 
101
Ecological Niche Models (ENMs) serve this purpose, but often struggle 
            
102
with sampling bias, overfitting and uncertainty quantification and 
102
with sampling bias, overfitting and uncertainty quantification and 
            
103
rely on a certain degree of subjectivity, which limits their 
103
rely on a certain degree of subjectivity, which limits their 
            
104
reliability. We have developed an improved ENM framework using MaxEnt, 
104
reliability. We have developed an improved ENM framework using MaxEnt, 
            
105
that integrates standard and site-weighted performance metrics into a 
105
that integrates standard and site-weighted performance metrics into a 
            
106
multi-criteria decision process to select models that provide a better 
106
multi-criteria decision process to select models that provide a better 
            
107
balance between explanatory power and transferability. To detect 
107
balance between explanatory power and transferability. To detect 
            
108
overfitting, we introduced delta metrics that measure the dependence 
108
overfitting, we introduced delta metrics that measure the dependence 
            
109
of model performance on the weighting scheme. Furthermore, we 
109
of model performance on the weighting scheme. Furthermore, we 
            
110
performed a sensitivity analysis to quantify the classification 
110
performed a sensitivity analysis to quantify the classification 
            
111
uncertainty associated with different probability thresholds. We test 
111
uncertainty associated with different probability thresholds. We test 
            
112
this approach on Caulerpa cylindracea, one of the most dangerous IAS 
112
this approach on Caulerpa cylindracea, one of the most dangerous IAS 
            
113
in the Mediterranean. The selection approach identified an optimal 
113
in the Mediterranean. The selection approach identified an optimal 
            
114
model that showed high and stable performance across all weighting 
114
model that showed high and stable performance across all weighting 
            
115
schemes and multiple validation datasets. Both the annual and 
115
schemes and multiple validation datasets. Both the annual and 
            
116
scenario-based projections show a general shift towards lower habitat 
116
scenario-based projections show a general shift towards lower habitat 
            
117
suitability, with a statistically significant negative trend in High 
117
suitability, with a statistically significant negative trend in High 
            
118
Suitability areas. The decline suggests that the future spread of C. 
118
Suitability areas. The decline suggests that the future spread of C. 
            
119
cylindracea is likely to be limited to currently invaded areas, 
119
cylindracea is likely to be limited to currently invaded areas, 
            
120
assuming no adaptation. The high reliability of the model is supported 
120
assuming no adaptation. The high reliability of the model is supported 
            
121
by the extremely low extrapolation risk (0.21% of the predictions 
121
by the extremely low extrapolation risk (0.21% of the predictions 
            
122
under 'strict extrapolation') and the agreement of the response curves 
122
under 'strict extrapolation') and the agreement of the response curves 
            
123
with the known ecophysiology of the species. However, the sensitivity 
123
with the known ecophysiology of the species. However, the sensitivity 
            
124
analysis of threshold selection shows a non-uniform pattern of 
124
analysis of threshold selection shows a non-uniform pattern of 
            
125
classification uncertainty that appears to be related to invasion 
125
classification uncertainty that appears to be related to invasion 
            
126
stage, with the greatest variability observed in recently invaded 
126
stage, with the greatest variability observed in recently invaded 
            
127
regions such as the Northern Adriatic. Practical Implication: This 
127
regions such as the Northern Adriatic. Practical Implication: This 
            
128
framework provides robust predictions of invasion risk while 
128
framework provides robust predictions of invasion risk while 
            
129
explicitly quantifying uncertainty. The selection procedure, 
129
explicitly quantifying uncertainty. The selection procedure, 
            
130
leveraging delta metrics, explicitly include model generalisation 
130
leveraging delta metrics, explicitly include model generalisation 
            
131
ability in the ranking process. The annual suitability projections 
131
ability in the ranking process. The annual suitability projections 
            
132
enable temporal prioritization of control efforts. Threshold 
132
enable temporal prioritization of control efforts. Threshold 
            
133
sensitivity analysis identifies areas that require more conservative 
133
sensitivity analysis identifies areas that require more conservative 
            
134
management approaches, improving the quality and cost-effectiveness of 
134
management approaches, improving the quality and cost-effectiveness of 
            
135
intervention strategies.",
135
intervention strategies.",
            
136
  "original-title": "Improving MaxEnt Reliability with Multi-Criteria 
136
  "original-title": "Improving MaxEnt Reliability with Multi-Criteria 
            
137
Analysis and Site Weighting: A Case Study on Caulerpa cylindracea",
137
Analysis and Site Weighting: A Case Study on Caulerpa cylindracea",
            
138
  "owner": "OGS",
138
  "owner": "OGS",
            
139
  "owner_org": "8ed582af-8314-4998-b7e4-9de7cd1975dd",
139
  "owner_org": "8ed582af-8314-4998-b7e4-9de7cd1975dd",
            
140
  "pdm_modules_relevance": [],
140
  "pdm_modules_relevance": [],
            
141
  "pdm_testing_relevance": [],
141
  "pdm_testing_relevance": [],
            
142
  "presentation_form": "map",
142
  "presentation_form": "map",
            
143
  "private": false,
143
  "private": false,
            
144
  "provider": "OGS",
144
  "provider": "OGS",
            
145
  "relationships_as_object": [],
145
  "relationships_as_object": [],
            
146
  "relationships_as_subject": [],
146
  "relationships_as_subject": [],
            
147
  "relevance-spatial-and-temporal": [
147
  "relevance-spatial-and-temporal": [
            
148
    "international-present-medium",
148
    "international-present-medium",
            
149
    "international-future-high",
149
    "international-future-high",
            
150
    "national-present-medium",
150
    "national-present-medium",
            
151
    "national-future-high",
151
    "national-future-high",
            
152
    "sub-area-present-medium",
152
    "sub-area-present-medium",
            
153
    "sub-area-future-medium",
153
    "sub-area-future-medium",
            
154
    "local-present-low",
154
    "local-present-low",
            
155
    "local-future-low"
155
    "local-future-low"
            
156
  ],
156
  ],
            
157
  "resources": [
157
  "resources": [
            
158
    {
158
    {
            
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      "cache_last_updated": null,
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      "cache_last_updated": null,
            
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      "cache_url": null,
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      "cache_url": null,
            
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      "created": "2025-03-28T16:22:40.950809",
161
      "created": "2025-03-28T16:22:40.950809",
            
162
      "datastore_active": false,
162
      "datastore_active": false,
            
163
      "description": "Annual probability of occurrence maps for 
163
      "description": "Annual probability of occurrence maps for 
            
164
C.cylindracea. 2000-2050",
164
C.cylindracea. 2000-2050",
            
165
      "format": ".tif",
165
      "format": ".tif",
            
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      "hash": "",
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      "hash": "",
            
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      "id": "73e28d39-40f1-458c-aa02-5b8533842520",
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      "id": "73e28d39-40f1-458c-aa02-5b8533842520",
            
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      "last_modified": "2025-03-28T16:35:35.346458",
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      "last_modified": "2025-03-28T16:35:35.346458",
            
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      "metadata_modified": "2025-03-28T16:35:35.365637",
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      "metadata_modified": "2025-03-28T16:35:35.365637",
            
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      "mimetype": "image/tiff",
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      "mimetype": "image/tiff",
            
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      "mimetype_inner": null,
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      "mimetype_inner": null,
            
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      "mspkc_resource_type": "GeospatialDataset",
172
      "mspkc_resource_type": "GeospatialDataset",
            
173
      "name": "annual_maps ",
173
      "name": "annual_maps ",
            
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      "package_id": "0d3b1c38-997e-48ec-be94-96b164f291da",
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      "package_id": "0d3b1c38-997e-48ec-be94-96b164f291da",
            
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      "position": 0,
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      "position": 0,
            
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      "resource_type": null,
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      "resource_type": null,
            
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      "size": 9850345,
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      "size": 9850345,
            
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      "state": "active",
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      "state": "active",
            
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      "url": 
179
      "url": 
            
180
/resource/73e28d39-40f1-458c-aa02-5b8533842520/download/p_annual.tif",
180
/resource/73e28d39-40f1-458c-aa02-5b8533842520/download/p_annual.tif",
            
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      "url_type": "upload"
181
      "url_type": "upload"
            
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    }
182
    }
            
183
  ],
183
  ],
            
184
  "socio-economic-activities": [],
184
  "socio-economic-activities": [],
            
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  "socio-economic-demography": [],
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  "socio-economic-demography": [],
            
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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": "Invasive species",
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  "sub_category": "Invasive species",
            
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  "tags": [
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  "tags": [
            
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    {
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    {
            
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      "display_name": "OGS",
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      "display_name": "OGS",
            
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      "id": "a6ee2734-b0e3-404b-a300-0f8ef02f32dd",
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      "name": "OGS",
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    },
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    {
            
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      "display_name": "mediterranean_sea",
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      "display_name": "mediterranean_sea",
            
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      "id": "781675ae-7e67-46ed-aadf-4fc3f1c4c655",
            
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      "name": "mediterranean_sea",
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      "name": "mediterranean_sea",
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "types_of_habitat",
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      "display_name": "types_of_habitat",
            
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      "id": "948dd94f-4e01-4f6c-86c0-e48c85be7913",
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      "id": "948dd94f-4e01-4f6c-86c0-e48c85be7913",
            
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      "name": "types_of_habitat",
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      "name": "types_of_habitat",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "temporal_extent": "2000-01-01",
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  "temporal_extent": "2000-01-01",
            
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  "temporal_extent_end": "2050-12-31",
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  "temporal_extent_end": "2050-12-31",
            
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  "title": "2000-2050 Annual probability of occurrence maps for the 
218
  "title": "2000-2050 Annual probability of occurrence maps for the 
            
219
invasive species: Caulerpa cylindracea",
219
invasive species: Caulerpa cylindracea",
            
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  "type": "msp-data",
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  "web_services_other": ""
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  "web_services_other": ""
            
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}
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}