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| f | 1 | { | f | 1 | { |
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| 4 | "alternate_identifier": "DOI: 10.3390/agronomy12123076", | 4 | "alternate_identifier": "DOI: 10.3390/agronomy12123076", | ||
| 5 | "applicable_legislation": [ | 5 | "applicable_legislation": [ | ||
| 6 | "http://data.europa.eu/eli/reg_impl/2023/138/oj" | 6 | "http://data.europa.eu/eli/reg_impl/2023/138/oj" | ||
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| 8 | "author": "Garc\u00eda-del-Toro, E.M., Garc\u00eda-Salgado, S., | 8 | "author": "Garc\u00eda-del-Toro, E.M., Garc\u00eda-Salgado, S., | ||
| 9 | Mateo, L.F., Quijano, M.A. y M\u00e1s-L\u00f3pez, M.I.", | 9 | Mateo, L.F., Quijano, M.A. y M\u00e1s-L\u00f3pez, M.I.", | ||
| 10 | "author_email": "evamaria.garcia@upm.es", | 10 | "author_email": "evamaria.garcia@upm.es", | ||
| 11 | "author_name": "Garc\u00eda-del-Toro, E.M., Garc\u00eda-Salgado, S., | 11 | "author_name": "Garc\u00eda-del-Toro, E.M., Garc\u00eda-Salgado, S., | ||
| 12 | Mateo, L.F., Quijano, M.A. y M\u00e1s-L\u00f3pez, M.I.", | 12 | Mateo, L.F., Quijano, M.A. y M\u00e1s-L\u00f3pez, M.I.", | ||
| 13 | "classification_variables": { | 13 | "classification_variables": { | ||
| 14 | "es": "" | 14 | "es": "" | ||
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| 16 | "conforms_to": [ | 16 | "conforms_to": [ | ||
| 17 | "https://www.boe.es/eli/es/res/2013/02/19/(4)" | 17 | "https://www.boe.es/eli/es/res/2013/02/19/(4)" | ||
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| 22 | "name": "Organismo publicador del Cat\u00e1logo", | 22 | "name": "Organismo publicador del Cat\u00e1logo", | ||
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| 27 | "url": "https://organismo.example.org/" | 27 | "url": "https://organismo.example.org/" | ||
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| 32 | "contact_role": | 32 | "contact_role": | ||
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| 35 | "http://datos.gob.es/recurso/sector-publico/org/Organismo/EA0000000", | 35 | "http://datos.gob.es/recurso/sector-publico/org/Organismo/EA0000000", | ||
| 36 | "contact_url": "https://organismo.example.org/", | 36 | "contact_url": "https://organismo.example.org/", | ||
| 37 | "created": "2024-11-05", | 37 | "created": "2024-11-05", | ||
| 38 | "creator": [ | 38 | "creator": [ | ||
| 39 | { | 39 | { | ||
| 40 | "email": "evamaria.garcia@upm.es", | 40 | "email": "evamaria.garcia@upm.es", | ||
| 41 | "name": "Garc\u00eda-del-Toro, E.M., Garc\u00eda-Salgado, S., | 41 | "name": "Garc\u00eda-del-Toro, E.M., Garc\u00eda-Salgado, S., | ||
| 42 | Mateo, L.F., Quijano, M.A. y M\u00e1s-L\u00f3pez, M.I." | 42 | Mateo, L.F., Quijano, M.A. y M\u00e1s-L\u00f3pez, M.I." | ||
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| 46 | "dataset_scope": "non_spatial_dataset", | 46 | "dataset_scope": "non_spatial_dataset", | ||
| 47 | "dcat_type": "http://id.loc.gov/vocabulary/marcgt/art", | 47 | "dcat_type": "http://id.loc.gov/vocabulary/marcgt/art", | ||
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| 60 | "keyword_iepnb": [ | 60 | "keyword_iepnb": [ | ||
| 61 | "agricultura", | 61 | "agricultura", | ||
| 62 | "aguas_interiores", | 62 | "aguas_interiores", | ||
| 63 | "seguimiento", | 63 | "seguimiento", | ||
| 64 | "tecnologia" | 64 | "tecnologia" | ||
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| 67 | "http://publications.europa.eu/resource/authority/language/SPA", | 67 | "http://publications.europa.eu/resource/authority/language/SPA", | ||
| 68 | "license_id": "cc-by", | 68 | "license_id": "cc-by", | ||
| 69 | "license_title": "Creative Commons Attribution", | 69 | "license_title": "Creative Commons Attribution", | ||
| 70 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | 70 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | ||
| 71 | "lineage_source": [ | 71 | "lineage_source": [ | ||
| 72 | "Agronomy", | 72 | "Agronomy", | ||
| 73 | "vol 12", | 73 | "vol 12", | ||
| 74 | "no 12" | 74 | "no 12" | ||
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| 76 | "maintainer": "", | 76 | "maintainer": "", | ||
| 77 | "maintainer_name": "", | 77 | "maintainer_name": "", | ||
| 78 | "metadata_created": "2026-06-23T14:47:23.325132", | 78 | "metadata_created": "2026-06-23T14:47:23.325132", | ||
| n | 79 | "metadata_modified": "2026-06-23T15:49:22.686267", | n | 79 | "metadata_modified": "2026-06-23T15:55:34.792622", |
| 80 | "metadata_profile": [ | 80 | "metadata_profile": [ | ||
| 81 | "https://semiceu.github.io/DCAT-AP/releases/3.0.0/" | 81 | "https://semiceu.github.io/DCAT-AP/releases/3.0.0/" | ||
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| 83 | "miteco_data_population": { | 83 | "miteco_data_population": { | ||
| 84 | "es": "" | 84 | "es": "" | ||
| 85 | }, | 85 | }, | ||
| 86 | "miteco_data_territory": { | 86 | "miteco_data_territory": { | ||
| 87 | "es": "" | 87 | "es": "" | ||
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| 89 | "miteco_dataset_type": | 89 | "miteco_dataset_type": | ||
| 90 | //publications.europa.eu/resource/authority/dataset-type/STATISTICAL", | 90 | //publications.europa.eu/resource/authority/dataset-type/STATISTICAL", | ||
| 91 | "miteco_geo_level": "1", | 91 | "miteco_geo_level": "1", | ||
| 92 | "modified": "2026-06-23", | 92 | "modified": "2026-06-23", | ||
| 93 | "name": "f96c0403-9154-5cf6-b1db-f866f0985371", | 93 | "name": "f96c0403-9154-5cf6-b1db-f866f0985371", | ||
| 94 | "notes": "Groundwater is humanity\u2019s freshwater pantry, | 94 | "notes": "Groundwater is humanity\u2019s freshwater pantry, | ||
| 95 | constituting 97% of available freshwater. The 6th Sustainable | 95 | constituting 97% of available freshwater. The 6th Sustainable | ||
| 96 | Development Goal (SDG) of the UN Agenda 2030 promotes \u201cEnsure | 96 | Development Goal (SDG) of the UN Agenda 2030 promotes \u201cEnsure | ||
| 97 | availability and sustainable management of water and sanitation for | 97 | availability and sustainable management of water and sanitation for | ||
| 98 | all\u201d, which takes special significance in arid or semi-arid | 98 | all\u201d, which takes special significance in arid or semi-arid | ||
| 99 | regions. The region of Campo de Cartagena (Murcia, Spain) has one of | 99 | regions. The region of Campo de Cartagena (Murcia, Spain) has one of | ||
| 100 | the most technified and productive irrigation systems in Europe. As a | 100 | the most technified and productive irrigation systems in Europe. As a | ||
| 101 | result, the groundwater in this zone has serious chemical quality | 101 | result, the groundwater in this zone has serious chemical quality | ||
| 102 | problems. To qualify and predict groundwater quality of this region, | 102 | problems. To qualify and predict groundwater quality of this region, | ||
| 103 | which may later facilitate its management, two machine learning models | 103 | which may later facilitate its management, two machine learning models | ||
| 104 | (Na\u00efve-Bayes and Decision-tree) are proposed. These models did | 104 | (Na\u00efve-Bayes and Decision-tree) are proposed. These models did | ||
| 105 | not require great computing power and were developed from a reduced | 105 | not require great computing power and were developed from a reduced | ||
| 106 | number of data using the KNIME (KoNstanz Information MinEr) tool. | 106 | number of data using the KNIME (KoNstanz Information MinEr) tool. | ||
| 107 | Their accuracy was tested by the corresponding confusion matrix, | 107 | Their accuracy was tested by the corresponding confusion matrix, | ||
| 108 | providing a high accuracy in both models. The obtained results showed | 108 | providing a high accuracy in both models. The obtained results showed | ||
| 109 | that groundwater quality was higher in the northern and west zones. | 109 | that groundwater quality was higher in the northern and west zones. | ||
| 110 | This may be due to the presence in the north of the Andalusian | 110 | This may be due to the presence in the north of the Andalusian | ||
| 111 | aquifer, the deepest in Campo de Cartagena, and in the west to the | 111 | aquifer, the deepest in Campo de Cartagena, and in the west to the | ||
| 112 | predominance of rainfed crops, where the amount of water available for | 112 | predominance of rainfed crops, where the amount of water available for | ||
| 113 | leaching fertilizers is lower, coming mainly from rainfall.", | 113 | leaching fertilizers is lower, coming mainly from rainfall.", | ||
| 114 | "notes_translated": { | 114 | "notes_translated": { | ||
| 115 | "es": "Groundwater is humanity\u2019s freshwater pantry, | 115 | "es": "Groundwater is humanity\u2019s freshwater pantry, | ||
| 116 | constituting 97% of available freshwater. The 6th Sustainable | 116 | constituting 97% of available freshwater. The 6th Sustainable | ||
| 117 | Development Goal (SDG) of the UN Agenda 2030 promotes \u201cEnsure | 117 | Development Goal (SDG) of the UN Agenda 2030 promotes \u201cEnsure | ||
| 118 | availability and sustainable management of water and sanitation for | 118 | availability and sustainable management of water and sanitation for | ||
| 119 | all\u201d, which takes special significance in arid or semi-arid | 119 | all\u201d, which takes special significance in arid or semi-arid | ||
| 120 | regions. The region of Campo de Cartagena (Murcia, Spain) has one of | 120 | regions. The region of Campo de Cartagena (Murcia, Spain) has one of | ||
| 121 | the most technified and productive irrigation systems in Europe. As a | 121 | the most technified and productive irrigation systems in Europe. As a | ||
| 122 | result, the groundwater in this zone has serious chemical quality | 122 | result, the groundwater in this zone has serious chemical quality | ||
| 123 | problems. To qualify and predict groundwater quality of this region, | 123 | problems. To qualify and predict groundwater quality of this region, | ||
| 124 | which may later facilitate its management, two machine learning models | 124 | which may later facilitate its management, two machine learning models | ||
| 125 | (Na\u00efve-Bayes and Decision-tree) are proposed. These models did | 125 | (Na\u00efve-Bayes and Decision-tree) are proposed. These models did | ||
| 126 | not require great computing power and were developed from a reduced | 126 | not require great computing power and were developed from a reduced | ||
| 127 | number of data using the KNIME (KoNstanz Information MinEr) tool. | 127 | number of data using the KNIME (KoNstanz Information MinEr) tool. | ||
| 128 | Their accuracy was tested by the corresponding confusion matrix, | 128 | Their accuracy was tested by the corresponding confusion matrix, | ||
| 129 | providing a high accuracy in both models. The obtained results showed | 129 | providing a high accuracy in both models. The obtained results showed | ||
| 130 | that groundwater quality was higher in the northern and west zones. | 130 | that groundwater quality was higher in the northern and west zones. | ||
| 131 | This may be due to the presence in the north of the Andalusian | 131 | This may be due to the presence in the north of the Andalusian | ||
| 132 | aquifer, the deepest in Campo de Cartagena, and in the west to the | 132 | aquifer, the deepest in Campo de Cartagena, and in the west to the | ||
| 133 | predominance of rainfed crops, where the amount of water available for | 133 | predominance of rainfed crops, where the amount of water available for | ||
| 134 | leaching fertilizers is lower, coming mainly from rainfall." | 134 | leaching fertilizers is lower, coming mainly from rainfall." | ||
| 135 | }, | 135 | }, | ||
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| 146 | "state": "active", | 146 | "state": "active", | ||
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| 160 | Ministerio para la Transici\u00f3n Ecol\u00f3gica y el Reto | 160 | Ministerio para la Transici\u00f3n Ecol\u00f3gica y el Reto | ||
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| 229 | "spatial_coverage": [ | 229 | "spatial_coverage": [ | ||
| 230 | { | 230 | { | ||
| 231 | "bbox": "{\"type\": \"Polygon\", \"coordinates\": [[[-2.34, | 231 | "bbox": "{\"type\": \"Polygon\", \"coordinates\": [[[-2.34, | ||
| 232 | 37.38], [-0.69, 37.38], [-0.69, 38.76], [-2.34, 38.76], [-2.34, | 232 | 37.38], [-0.69, 37.38], [-0.69, 38.76], [-2.34, 38.76], [-2.34, | ||
| 233 | 37.38]]]}", | 233 | 37.38]]]}", | ||
| 234 | "centroid": "{\"type\": \"Point\", \"coordinates\": [-1.515, | 234 | "centroid": "{\"type\": \"Point\", \"coordinates\": [-1.515, | ||
| 235 | 38.07]}", | 235 | 38.07]}", | ||
| 236 | "text": "Regi\u00f3n de Murcia", | 236 | "text": "Regi\u00f3n de Murcia", | ||
| 237 | "uri": | 237 | "uri": | ||
| 238 | atos.gob.es/recurso/sector-publico/territorio/Autonomia/Region-Murcia" | 238 | atos.gob.es/recurso/sector-publico/territorio/Autonomia/Region-Murcia" | ||
| 239 | } | 239 | } | ||
| 240 | ], | 240 | ], | ||
| 241 | "spatial_uri": | 241 | "spatial_uri": | ||
| 242 | tos.gob.es/recurso/sector-publico/territorio/Autonomia/Region-Murcia", | 242 | tos.gob.es/recurso/sector-publico/territorio/Autonomia/Region-Murcia", | ||
| 243 | "state": "active", | 243 | "state": "active", | ||
| 244 | "study_variables": { | 244 | "study_variables": { | ||
| 245 | "es": "" | 245 | "es": "" | ||
| 246 | }, | 246 | }, | ||
| 247 | "tag_uri": [ | 247 | "tag_uri": [ | ||
| 248 | 248 | ||||
| 249 | tp://inspire.ec.europa.eu/metadata-codelist/TopicCategory/environment" | 249 | tp://inspire.ec.europa.eu/metadata-codelist/TopicCategory/environment" | ||
| 250 | ], | 250 | ], | ||
| 251 | "tags": [ | 251 | "tags": [ | ||
| 252 | { | 252 | { | ||
| 253 | "display_name": "agricultura", | 253 | "display_name": "agricultura", | ||
| 254 | "id": "34809f0c-ffb1-4169-a701-6e9b9b10278b", | 254 | "id": "34809f0c-ffb1-4169-a701-6e9b9b10278b", | ||
| 255 | "name": "agricultura", | 255 | "name": "agricultura", | ||
| 256 | "state": "active", | 256 | "state": "active", | ||
| 257 | "vocabulary_id": null | 257 | "vocabulary_id": null | ||
| 258 | }, | 258 | }, | ||
| 259 | { | 259 | { | ||
| 260 | "display_name": "aguas_interiores", | 260 | "display_name": "aguas_interiores", | ||
| 261 | "id": "ddab08b5-a7e4-4187-9b0f-d4459c83a9ba", | 261 | "id": "ddab08b5-a7e4-4187-9b0f-d4459c83a9ba", | ||
| 262 | "name": "aguas_interiores", | 262 | "name": "aguas_interiores", | ||
| 263 | "state": "active", | 263 | "state": "active", | ||
| 264 | "vocabulary_id": null | 264 | "vocabulary_id": null | ||
| 265 | }, | 265 | }, | ||
| 266 | { | 266 | { | ||
| 267 | "display_name": "seguimiento", | 267 | "display_name": "seguimiento", | ||
| 268 | "id": "35753cbf-b84a-487f-80a1-3930d85a73a0", | 268 | "id": "35753cbf-b84a-487f-80a1-3930d85a73a0", | ||
| 269 | "name": "seguimiento", | 269 | "name": "seguimiento", | ||
| 270 | "state": "active", | 270 | "state": "active", | ||
| 271 | "vocabulary_id": null | 271 | "vocabulary_id": null | ||
| 272 | }, | 272 | }, | ||
| 273 | { | 273 | { | ||
| 274 | "display_name": "sistemas-karsticos-y-otros-sistemas-hidr", | 274 | "display_name": "sistemas-karsticos-y-otros-sistemas-hidr", | ||
| 275 | "id": "c737a1f9-75ea-45e1-aaa4-0f5120e7b9bc", | 275 | "id": "c737a1f9-75ea-45e1-aaa4-0f5120e7b9bc", | ||
| 276 | "name": "sistemas-karsticos-y-otros-sistemas-hidr", | 276 | "name": "sistemas-karsticos-y-otros-sistemas-hidr", | ||
| 277 | "state": "active", | 277 | "state": "active", | ||
| 278 | "vocabulary_id": null | 278 | "vocabulary_id": null | ||
| 279 | }, | 279 | }, | ||
| 280 | { | 280 | { | ||
| 281 | "display_name": "tecnologia", | 281 | "display_name": "tecnologia", | ||
| 282 | "id": "0b3381bc-073c-43fe-a133-4efcf0e36300", | 282 | "id": "0b3381bc-073c-43fe-a133-4efcf0e36300", | ||
| 283 | "name": "tecnologia", | 283 | "name": "tecnologia", | ||
| 284 | "state": "active", | 284 | "state": "active", | ||
| 285 | "vocabulary_id": null | 285 | "vocabulary_id": null | ||
| 286 | }, | 286 | }, | ||
| 287 | { | 287 | { | ||
| 288 | "display_name": "terrestre", | 288 | "display_name": "terrestre", | ||
| 289 | "id": "85115ad4-0fb1-4c27-b37f-7e8fec83861f", | 289 | "id": "85115ad4-0fb1-4c27-b37f-7e8fec83861f", | ||
| 290 | "name": "terrestre", | 290 | "name": "terrestre", | ||
| 291 | "state": "active", | 291 | "state": "active", | ||
| 292 | "vocabulary_id": null | 292 | "vocabulary_id": null | ||
| 293 | } | 293 | } | ||
| 294 | ], | 294 | ], | ||
| 295 | "thematic_area": [ | 295 | "thematic_area": [ | ||
| 296 | "espacios_protegidos" | 296 | "espacios_protegidos" | ||
| 297 | ], | 297 | ], | ||
| 298 | "theme_es": [ | 298 | "theme_es": [ | ||
| 299 | "http://datos.gob.es/kos/sector-publico/sector/medio-ambiente" | 299 | "http://datos.gob.es/kos/sector-publico/sector/medio-ambiente" | ||
| 300 | ], | 300 | ], | ||
| 301 | "title": "Machine Learning as a Diagnosis Tool of Groundwater | 301 | "title": "Machine Learning as a Diagnosis Tool of Groundwater | ||
| 302 | Quality in Zones with High Agricultural Activity (Region of Campo de | 302 | Quality in Zones with High Agricultural Activity (Region of Campo de | ||
| 303 | Cartagena, Murcia, Spain)", | 303 | Cartagena, Murcia, Spain)", | ||
| 304 | "title_translated": { | 304 | "title_translated": { | ||
| 305 | "es": "Machine Learning as a Diagnosis Tool of Groundwater Quality | 305 | "es": "Machine Learning as a Diagnosis Tool of Groundwater Quality | ||
| 306 | in Zones with High Agricultural Activity (Region of Campo de | 306 | in Zones with High Agricultural Activity (Region of Campo de | ||
| 307 | Cartagena, Murcia, Spain)" | 307 | Cartagena, Murcia, Spain)" | ||
| 308 | }, | 308 | }, | ||
| 309 | "topic": | 309 | "topic": | ||
| 310 | "http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/biota", | 310 | "http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/biota", | ||
| 311 | "type": "dataset", | 311 | "type": "dataset", | ||
| 312 | "url": | 312 | "url": | ||
| 313 | //iepnb.es:443/catalogo/dataset/f96c0403-9154-5cf6-b1db-f866f0985371", | 313 | //iepnb.es:443/catalogo/dataset/f96c0403-9154-5cf6-b1db-f866f0985371", | ||
| 314 | "version_notes": { | 314 | "version_notes": { | ||
| 315 | "es": "" | 315 | "es": "" | ||
| 316 | } | 316 | } | ||
| 317 | } | 317 | } |