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| f | 1 | { | f | 1 | { |
| 2 | "access_rights": | 2 | "access_rights": | ||
| 3 | .europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations", | 3 | .europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations", | ||
| 4 | "alternate_identifier": "ISBN: 978-972-778-182-9", | 4 | "alternate_identifier": "ISBN: 978-972-778-182-9", | ||
| 5 | "author": "Colino-Rabanal, V.J., Rodr\u00edguez-D\u00edaz, R., | 5 | "author": "Colino-Rabanal, V.J., Rodr\u00edguez-D\u00edaz, R., | ||
| 6 | Blanco-Villegas, M.J. y Lizana, M.", | 6 | Blanco-Villegas, M.J. y Lizana, M.", | ||
| 7 | "author_name": "Colino-Rabanal, V.J., Rodr\u00edguez-D\u00edaz, R., | 7 | "author_name": "Colino-Rabanal, V.J., Rodr\u00edguez-D\u00edaz, R., | ||
| 8 | Blanco-Villegas, M.J. y Lizana, M.", | 8 | Blanco-Villegas, M.J. y Lizana, M.", | ||
| 9 | "classification_variables": { | 9 | "classification_variables": { | ||
| 10 | "es": "" | 10 | "es": "" | ||
| 11 | }, | 11 | }, | ||
| 12 | "conforms_to": [ | 12 | "conforms_to": [ | ||
| 13 | "https://www.boe.es/eli/es/res/2013/02/19/(4)" | 13 | "https://www.boe.es/eli/es/res/2013/02/19/(4)" | ||
| 14 | ], | 14 | ], | ||
| 15 | "contact": [ | 15 | "contact": [ | ||
| 16 | { | 16 | { | ||
| 17 | "email": "organismo@example.org", | 17 | "email": "organismo@example.org", | ||
| 18 | "name": "Organismo publicador del Cat\u00e1logo", | 18 | "name": "Organismo publicador del Cat\u00e1logo", | ||
| 19 | "role": | 19 | "role": | ||
| 20 | e.ec.europa.eu/metadata-codelist/ResponsiblePartyRole/pointOfContact", | 20 | e.ec.europa.eu/metadata-codelist/ResponsiblePartyRole/pointOfContact", | ||
| 21 | "uri": | 21 | "uri": | ||
| 22 | "http://datos.gob.es/recurso/sector-publico/org/Organismo/EA0000000", | 22 | "http://datos.gob.es/recurso/sector-publico/org/Organismo/EA0000000", | ||
| 23 | "url": "https://organismo.example.org/" | 23 | "url": "https://organismo.example.org/" | ||
| 24 | } | 24 | } | ||
| 25 | ], | 25 | ], | ||
| 26 | "contact_email": "organismo@example.org", | 26 | "contact_email": "organismo@example.org", | ||
| 27 | "contact_name": "Organismo publicador del Cat\u00e1logo", | 27 | "contact_name": "Organismo publicador del Cat\u00e1logo", | ||
| 28 | "contact_role": | 28 | "contact_role": | ||
| 29 | e.ec.europa.eu/metadata-codelist/ResponsiblePartyRole/pointOfContact", | 29 | e.ec.europa.eu/metadata-codelist/ResponsiblePartyRole/pointOfContact", | ||
| 30 | "contact_uri": | 30 | "contact_uri": | ||
| 31 | "http://datos.gob.es/recurso/sector-publico/org/Organismo/EA0000000", | 31 | "http://datos.gob.es/recurso/sector-publico/org/Organismo/EA0000000", | ||
| 32 | "contact_url": "https://organismo.example.org/", | 32 | "contact_url": "https://organismo.example.org/", | ||
| 33 | "created": "2025-05-23", | 33 | "created": "2025-05-23", | ||
| 34 | "creator": [ | 34 | "creator": [ | ||
| 35 | { | 35 | { | ||
| 36 | "name": "Colino-Rabanal, V.J., Rodr\u00edguez-D\u00edaz, R., | 36 | "name": "Colino-Rabanal, V.J., Rodr\u00edguez-D\u00edaz, R., | ||
| 37 | Blanco-Villegas, M.J. y Lizana, M." | 37 | Blanco-Villegas, M.J. y Lizana, M." | ||
| 38 | } | 38 | } | ||
| 39 | ], | 39 | ], | ||
| 40 | "creator_user_id": "d24a314a-79ce-48c0-abd9-54cb42706da4", | 40 | "creator_user_id": "d24a314a-79ce-48c0-abd9-54cb42706da4", | ||
| 41 | "dataset_scope": "non_spatial_dataset", | 41 | "dataset_scope": "non_spatial_dataset", | ||
| 42 | "dcat_type": "http://purl.org/dc/dcmitype/Text", | 42 | "dcat_type": "http://purl.org/dc/dcmitype/Text", | ||
| 43 | "encoding": "UTF-8", | 43 | "encoding": "UTF-8", | ||
| 44 | "featured": false, | 44 | "featured": false, | ||
| 45 | "graphic_overview": | 45 | "graphic_overview": | ||
| 46 | om/images?q=tbn:ANd9GcRb54JGfwMSPjkYlDyIL_yeW3XeePRl4EebQDu0igf2yw&s", | 46 | om/images?q=tbn:ANd9GcRb54JGfwMSPjkYlDyIL_yeW3XeePRl4EebQDu0igf2yw&s", | ||
| 47 | "groups": [ | 47 | "groups": [ | ||
| 48 | { | 48 | { | ||
| 49 | "description": "La fragmentaci\u00f3n del h\u00e1bitat se define | 49 | "description": "La fragmentaci\u00f3n del h\u00e1bitat se define | ||
| 50 | como el proceso durante el cual una gran extensi\u00f3n de | 50 | como el proceso durante el cual una gran extensi\u00f3n de | ||
| 51 | h\u00e1bitat se transforma en una serie de parches m\u00e1s | 51 | h\u00e1bitat se transforma en una serie de parches m\u00e1s | ||
| 52 | peque\u00f1os de menor superficie total aislados entre s\u00ed por una | 52 | peque\u00f1os de menor superficie total aislados entre s\u00ed por una | ||
| 53 | matriz de h\u00e1bitats distinta de la original", | 53 | matriz de h\u00e1bitats distinta de la original", | ||
| 54 | "display_name": "Fragmentaci\u00f3n del h\u00e1bitat", | 54 | "display_name": "Fragmentaci\u00f3n del h\u00e1bitat", | ||
| 55 | "id": "10439641-6830-4144-a3ab-117add931cd5", | 55 | "id": "10439641-6830-4144-a3ab-117add931cd5", | ||
| 56 | "image_display_url": | 56 | "image_display_url": | ||
| 57 | e_2010_UE_Illustr.jpg/320px-Green_infrastructure_2010_UE_Illustr.jpg", | 57 | e_2010_UE_Illustr.jpg/320px-Green_infrastructure_2010_UE_Illustr.jpg", | ||
| 58 | "name": "fragmentacion-habitat", | 58 | "name": "fragmentacion-habitat", | ||
| 59 | "title": "Fragmentaci\u00f3n del h\u00e1bitat" | 59 | "title": "Fragmentaci\u00f3n del h\u00e1bitat" | ||
| 60 | } | 60 | } | ||
| 61 | ], | 61 | ], | ||
| 62 | "hvd": "non_hvd", | 62 | "hvd": "non_hvd", | ||
| 63 | "id": "feb7cd71-3875-58f8-a9b7-22ecc169710a", | 63 | "id": "feb7cd71-3875-58f8-a9b7-22ecc169710a", | ||
| 64 | "identifier": "feb7cd71-3875-58f8-a9b7-22ecc169710a", | 64 | "identifier": "feb7cd71-3875-58f8-a9b7-22ecc169710a", | ||
| 65 | "inspire_id": "", | 65 | "inspire_id": "", | ||
| 66 | "isopen": true, | 66 | "isopen": true, | ||
| 67 | "language": | 67 | "language": | ||
| 68 | "http://publications.europa.eu/resource/authority/language/SPA", | 68 | "http://publications.europa.eu/resource/authority/language/SPA", | ||
| 69 | "license_id": "cc-by", | 69 | "license_id": "cc-by", | ||
| 70 | "license_title": "Creative Commons Attribution", | 70 | "license_title": "Creative Commons Attribution", | ||
| 71 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | 71 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | ||
| 72 | "lineage_process_steps": [], | 72 | "lineage_process_steps": [], | ||
| 73 | "lineage_source": [ | 73 | "lineage_source": [ | ||
| 74 | "2020 IENE International Conference. Abstract book. Vol. 2.3.3 A", | 74 | "2020 IENE International Conference. Abstract book. Vol. 2.3.3 A", | ||
| 75 | "Num. 2", | 75 | "Num. 2", | ||
| 76 | "pag. 191" | 76 | "pag. 191" | ||
| 77 | ], | 77 | ], | ||
| 78 | "maintainer": "", | 78 | "maintainer": "", | ||
| 79 | "maintainer_name": "", | 79 | "maintainer_name": "", | ||
| 80 | "metadata_created": "2026-06-23T14:46:36.096883", | 80 | "metadata_created": "2026-06-23T14:46:36.096883", | ||
| n | 81 | "metadata_modified": "2026-06-25T12:20:38.427315", | n | 81 | "metadata_modified": "2026-06-25T12:24:46.126877", |
| 82 | "metadata_profile": [ | 82 | "metadata_profile": [ | ||
| 83 | "https://www.w3.org/TR/vocab-dcat-3/" | 83 | "https://www.w3.org/TR/vocab-dcat-3/" | ||
| 84 | ], | 84 | ], | ||
| 85 | "miteco_data_population": { | 85 | "miteco_data_population": { | ||
| 86 | "es": "" | 86 | "es": "" | ||
| 87 | }, | 87 | }, | ||
| 88 | "miteco_data_territory": { | 88 | "miteco_data_territory": { | ||
| 89 | "es": "" | 89 | "es": "" | ||
| 90 | }, | 90 | }, | ||
| 91 | "miteco_dataset_type": | 91 | "miteco_dataset_type": | ||
| 92 | //publications.europa.eu/resource/authority/dataset-type/STATISTICAL", | 92 | //publications.europa.eu/resource/authority/dataset-type/STATISTICAL", | ||
| 93 | "miteco_geo_level": "1", | 93 | "miteco_geo_level": "1", | ||
| 94 | "modified": "2026-06-25", | 94 | "modified": "2026-06-25", | ||
| 95 | "name": "feb7cd71-3875-58f8-a9b7-22ecc169710a", | 95 | "name": "feb7cd71-3875-58f8-a9b7-22ecc169710a", | ||
| 96 | "notes": "Road ecologists have proposed a wide range of mitigation | 96 | "notes": "Road ecologists have proposed a wide range of mitigation | ||
| 97 | measures in order to reduce the number of animal-vehicle collisions | 97 | measures in order to reduce the number of animal-vehicle collisions | ||
| 98 | (AVC). Some measures aim to modify driver behaviour (road signs, speed | 98 | (AVC). Some measures aim to modify driver behaviour (road signs, speed | ||
| 99 | limitation, etc.), others to modify animal behaviour (fences, wildlife | 99 | limitation, etc.), others to modify animal behaviour (fences, wildlife | ||
| 100 | passes, swareflex, mirrors, etc.), and others both. The costs and | 100 | passes, swareflex, mirrors, etc.), and others both. The costs and | ||
| 101 | effectiveness vary enormously. In general, driver-oriented measures as | 101 | effectiveness vary enormously. In general, driver-oriented measures as | ||
| 102 | road signs are widely implemented because of their low cost, but they | 102 | road signs are widely implemented because of their low cost, but they | ||
| 103 | are also much less effective. This lack of effectiveness is related to | 103 | are also much less effective. This lack of effectiveness is related to | ||
| 104 | driver habituation. Improving sign designs to increase driver response | 104 | driver habituation. Improving sign designs to increase driver response | ||
| 105 | may reduce AVC. To do this, it is possible to take advantage of the | 105 | may reduce AVC. To do this, it is possible to take advantage of the | ||
| 106 | fact that AVC are concentrated in time and space. The aim is to alert | 106 | fact that AVC are concentrated in time and space. The aim is to alert | ||
| 107 | the driver only when a certain risk threshold is exceeded. With this | 107 | the driver only when a certain risk threshold is exceeded. With this | ||
| 108 | purpose spatio-temporal AVC models can be used to focus the warning | 108 | purpose spatio-temporal AVC models can be used to focus the warning | ||
| 109 | signal on the periods of maximum probability of an accident. The | 109 | signal on the periods of maximum probability of an accident. The | ||
| 110 | models have to be fed in real time with data about traffic, weather, | 110 | models have to be fed in real time with data about traffic, weather, | ||
| 111 | hunting, road conditions, etc. The results can be displayed on | 111 | hunting, road conditions, etc. The results can be displayed on | ||
| 112 | different devices: app, navigators, road signs, etc. For example, we | 112 | different devices: app, navigators, road signs, etc. For example, we | ||
| 113 | are developing a prototype of variable road sign based on these | 113 | are developing a prototype of variable road sign based on these | ||
| 114 | spatio-temporal AVC models. This prototype will probably show | 114 | spatio-temporal AVC models. This prototype will probably show | ||
| 115 | considerable advantages over the measures currently being implemented | 115 | considerable advantages over the measures currently being implemented | ||
| 116 | to minimize AVC. In economic terms, it is much cheaper than other | 116 | to minimize AVC. In economic terms, it is much cheaper than other | ||
| 117 | structural measures, and, by focusing only on those moments of real | 117 | structural measures, and, by focusing only on those moments of real | ||
| 118 | risk, it avoids driver habituation. It is expected that this warning | 118 | risk, it avoids driver habituation. It is expected that this warning | ||
| 119 | will cause drivers to slow down, so the number of AVC is expected to | 119 | will cause drivers to slow down, so the number of AVC is expected to | ||
| 120 | decrease.The main challenge is to define appropriate alert thresholds | 120 | decrease.The main challenge is to define appropriate alert thresholds | ||
| 121 | in relation to the risk of AVC. A very low threshold would favor | 121 | in relation to the risk of AVC. A very low threshold would favor | ||
| 122 | driver habituation. A very high threshold would mean that in moments | 122 | driver habituation. A very high threshold would mean that in moments | ||
| 123 | of high risk no alarm would be emitted with the consequent loss of | 123 | of high risk no alarm would be emitted with the consequent loss of | ||
| 124 | efficiency. The idea could also be applied to endangered species also | 124 | efficiency. The idea could also be applied to endangered species also | ||
| 125 | affected by road traffic (carnivores, amphibians, etc.).", | 125 | affected by road traffic (carnivores, amphibians, etc.).", | ||
| 126 | "notes_translated": { | 126 | "notes_translated": { | ||
| 127 | "en": "Road ecologists have proposed a wide range of mitigation | 127 | "en": "Road ecologists have proposed a wide range of mitigation | ||
| 128 | measures in order to reduce the number of animal-vehicle collisions | 128 | measures in order to reduce the number of animal-vehicle collisions | ||
| 129 | (AVC). Some measures aim to modify driver behaviour (road signs, speed | 129 | (AVC). Some measures aim to modify driver behaviour (road signs, speed | ||
| 130 | limitation, etc.), others to modify animal behaviour (fences, wildlife | 130 | limitation, etc.), others to modify animal behaviour (fences, wildlife | ||
| 131 | passes, swareflex, mirrors, etc.), and others both. The costs and | 131 | passes, swareflex, mirrors, etc.), and others both. The costs and | ||
| 132 | effectiveness vary enormously. In general, driver-oriented measures as | 132 | effectiveness vary enormously. In general, driver-oriented measures as | ||
| 133 | road signs are widely implemented because of their low cost, but they | 133 | road signs are widely implemented because of their low cost, but they | ||
| 134 | are also much less effective. This lack of effectiveness is related to | 134 | are also much less effective. This lack of effectiveness is related to | ||
| 135 | driver habituation. Improving sign designs to increase driver response | 135 | driver habituation. Improving sign designs to increase driver response | ||
| 136 | may reduce AVC. To do this, it is possible to take advantage of the | 136 | may reduce AVC. To do this, it is possible to take advantage of the | ||
| 137 | fact that AVC are concentrated in time and space. The aim is to alert | 137 | fact that AVC are concentrated in time and space. The aim is to alert | ||
| 138 | the driver only when a certain risk threshold is exceeded. With this | 138 | the driver only when a certain risk threshold is exceeded. With this | ||
| 139 | purpose spatio-temporal AVC models can be used to focus the warning | 139 | purpose spatio-temporal AVC models can be used to focus the warning | ||
| 140 | signal on the periods of maximum probability of an accident. The | 140 | signal on the periods of maximum probability of an accident. The | ||
| 141 | models have to be fed in real time with data about traffic, weather, | 141 | models have to be fed in real time with data about traffic, weather, | ||
| 142 | hunting, road conditions, etc. The results can be displayed on | 142 | hunting, road conditions, etc. The results can be displayed on | ||
| 143 | different devices: app, navigators, road signs, etc. For example, we | 143 | different devices: app, navigators, road signs, etc. For example, we | ||
| 144 | are developing a prototype of variable road sign based on these | 144 | are developing a prototype of variable road sign based on these | ||
| 145 | spatio-temporal AVC models. This prototype will probably show | 145 | spatio-temporal AVC models. This prototype will probably show | ||
| 146 | considerable advantages over the measures currently being implemented | 146 | considerable advantages over the measures currently being implemented | ||
| 147 | to minimize AVC. In economic terms, it is much cheaper than other | 147 | to minimize AVC. In economic terms, it is much cheaper than other | ||
| 148 | structural measures, and, by focusing only on those moments of real | 148 | structural measures, and, by focusing only on those moments of real | ||
| 149 | risk, it avoids driver habituation. It is expected that this warning | 149 | risk, it avoids driver habituation. It is expected that this warning | ||
| 150 | will cause drivers to slow down, so the number of AVC is expected to | 150 | will cause drivers to slow down, so the number of AVC is expected to | ||
| 151 | decrease.The main challenge is to define appropriate alert thresholds | 151 | decrease.The main challenge is to define appropriate alert thresholds | ||
| 152 | in relation to the risk of AVC. A very low threshold would favor | 152 | in relation to the risk of AVC. A very low threshold would favor | ||
| 153 | driver habituation. A very high threshold would mean that in moments | 153 | driver habituation. A very high threshold would mean that in moments | ||
| 154 | of high risk no alarm would be emitted with the consequent loss of | 154 | of high risk no alarm would be emitted with the consequent loss of | ||
| 155 | efficiency. The idea could also be applied to endangered species also | 155 | efficiency. The idea could also be applied to endangered species also | ||
| 156 | affected by road traffic (carnivores, amphibians, etc.).", | 156 | affected by road traffic (carnivores, amphibians, etc.).", | ||
| 157 | "es": "Road ecologists have proposed a wide range of mitigation | 157 | "es": "Road ecologists have proposed a wide range of mitigation | ||
| 158 | measures in order to reduce the number of animal-vehicle collisions | 158 | measures in order to reduce the number of animal-vehicle collisions | ||
| 159 | (AVC). Some measures aim to modify driver behaviour (road signs, speed | 159 | (AVC). Some measures aim to modify driver behaviour (road signs, speed | ||
| 160 | limitation, etc.), others to modify animal behaviour (fences, wildlife | 160 | limitation, etc.), others to modify animal behaviour (fences, wildlife | ||
| 161 | passes, swareflex, mirrors, etc.), and others both. The costs and | 161 | passes, swareflex, mirrors, etc.), and others both. The costs and | ||
| 162 | effectiveness vary enormously. In general, driver-oriented measures as | 162 | effectiveness vary enormously. In general, driver-oriented measures as | ||
| 163 | road signs are widely implemented because of their low cost, but they | 163 | road signs are widely implemented because of their low cost, but they | ||
| 164 | are also much less effective. This lack of effectiveness is related to | 164 | are also much less effective. This lack of effectiveness is related to | ||
| 165 | driver habituation. Improving sign designs to increase driver response | 165 | driver habituation. Improving sign designs to increase driver response | ||
| 166 | may reduce AVC. To do this, it is possible to take advantage of the | 166 | may reduce AVC. To do this, it is possible to take advantage of the | ||
| 167 | fact that AVC are concentrated in time and space. The aim is to alert | 167 | fact that AVC are concentrated in time and space. The aim is to alert | ||
| 168 | the driver only when a certain risk threshold is exceeded. With this | 168 | the driver only when a certain risk threshold is exceeded. With this | ||
| 169 | purpose spatio-temporal AVC models can be used to focus the warning | 169 | purpose spatio-temporal AVC models can be used to focus the warning | ||
| 170 | signal on the periods of maximum probability of an accident. The | 170 | signal on the periods of maximum probability of an accident. The | ||
| 171 | models have to be fed in real time with data about traffic, weather, | 171 | models have to be fed in real time with data about traffic, weather, | ||
| 172 | hunting, road conditions, etc. The results can be displayed on | 172 | hunting, road conditions, etc. The results can be displayed on | ||
| 173 | different devices: app, navigators, road signs, etc. For example, we | 173 | different devices: app, navigators, road signs, etc. For example, we | ||
| 174 | are developing a prototype of variable road sign based on these | 174 | are developing a prototype of variable road sign based on these | ||
| 175 | spatio-temporal AVC models. This prototype will probably show | 175 | spatio-temporal AVC models. This prototype will probably show | ||
| 176 | considerable advantages over the measures currently being implemented | 176 | considerable advantages over the measures currently being implemented | ||
| 177 | to minimize AVC. In economic terms, it is much cheaper than other | 177 | to minimize AVC. In economic terms, it is much cheaper than other | ||
| 178 | structural measures, and, by focusing only on those moments of real | 178 | structural measures, and, by focusing only on those moments of real | ||
| 179 | risk, it avoids driver habituation. It is expected that this warning | 179 | risk, it avoids driver habituation. It is expected that this warning | ||
| 180 | will cause drivers to slow down, so the number of AVC is expected to | 180 | will cause drivers to slow down, so the number of AVC is expected to | ||
| 181 | decrease.The main challenge is to define appropriate alert thresholds | 181 | decrease.The main challenge is to define appropriate alert thresholds | ||
| 182 | in relation to the risk of AVC. A very low threshold would favor | 182 | in relation to the risk of AVC. A very low threshold would favor | ||
| 183 | driver habituation. A very high threshold would mean that in moments | 183 | driver habituation. A very high threshold would mean that in moments | ||
| 184 | of high risk no alarm would be emitted with the consequent loss of | 184 | of high risk no alarm would be emitted with the consequent loss of | ||
| 185 | efficiency. The idea could also be applied to endangered species also | 185 | efficiency. The idea could also be applied to endangered species also | ||
| 186 | affected by road traffic (carnivores, amphibians, etc.)." | 186 | affected by road traffic (carnivores, amphibians, etc.)." | ||
| 187 | }, | 187 | }, | ||
| 188 | "num_resources": 1, | 188 | "num_resources": 1, | ||
| 189 | "num_tags": 2, | 189 | "num_tags": 2, | ||
| 190 | "organization": { | 190 | "organization": { | ||
| 191 | "approval_status": "approved", | 191 | "approval_status": "approved", | ||
| 192 | "created": "2026-06-23T14:36:08.942021", | 192 | "created": "2026-06-23T14:36:08.942021", | ||
| 193 | "description": "", | 193 | "description": "", | ||
| 194 | "id": "bca483f7-26e2-4ed8-99e8-65f5b3c7a26e", | 194 | "id": "bca483f7-26e2-4ed8-99e8-65f5b3c7a26e", | ||
| 195 | "image_url": "", | 195 | "image_url": "", | ||
| 196 | "is_organization": true, | 196 | "is_organization": true, | ||
| 197 | "name": "iepnb", | 197 | "name": "iepnb", | ||
| 198 | "state": "active", | 198 | "state": "active", | ||
| 199 | "title": "", | 199 | "title": "", | ||
| 200 | "type": "organization" | 200 | "type": "organization" | ||
| 201 | }, | 201 | }, | ||
| 202 | "owner_org": "bca483f7-26e2-4ed8-99e8-65f5b3c7a26e", | 202 | "owner_org": "bca483f7-26e2-4ed8-99e8-65f5b3c7a26e", | ||
| 203 | "private": false, | 203 | "private": false, | ||
| 204 | "provenance": { | 204 | "provenance": { | ||
| 205 | "en": "", | 205 | "en": "", | ||
| 206 | "es": "" | 206 | "es": "" | ||
| 207 | }, | 207 | }, | ||
| 208 | "publisher": [ | 208 | "publisher": [ | ||
| 209 | { | 209 | { | ||
| 210 | "email": "buzon-bdatos@miteco.es", | 210 | "email": "buzon-bdatos@miteco.es", | ||
| 211 | "name": "\u00c1rea de Banco de Datos de la Naturaleza. | 211 | "name": "\u00c1rea de Banco de Datos de la Naturaleza. | ||
| 212 | Direcci\u00f3n General Biodiversidad, Bosques y Desertificaci\u00f3n. | 212 | Direcci\u00f3n General Biodiversidad, Bosques y Desertificaci\u00f3n. | ||
| 213 | Ministerio para la Transici\u00f3n Ecol\u00f3gica y el Reto | 213 | Ministerio para la Transici\u00f3n Ecol\u00f3gica y el Reto | ||
| 214 | Demogr\u00e1fico", | 214 | Demogr\u00e1fico", | ||
| 215 | "type": "http://purl.org/adms/publishertype/NationalAuthority", | 215 | "type": "http://purl.org/adms/publishertype/NationalAuthority", | ||
| 216 | "uri": "https://iepnb.es/catalogo/organization/iepnb", | 216 | "uri": "https://iepnb.es/catalogo/organization/iepnb", | ||
| 217 | "url": "https://www.miteco.gob.es/" | 217 | "url": "https://www.miteco.gob.es/" | ||
| 218 | } | 218 | } | ||
| 219 | ], | 219 | ], | ||
| 220 | "publisher_email": "buzon-bdatos@miteco.es", | 220 | "publisher_email": "buzon-bdatos@miteco.es", | ||
| 221 | "publisher_name": "\u00c1rea de Banco de Datos de la Naturaleza. | 221 | "publisher_name": "\u00c1rea de Banco de Datos de la Naturaleza. | ||
| 222 | Direcci\u00f3n General Biodiversidad, Bosques y Desertificaci\u00f3n. | 222 | Direcci\u00f3n General Biodiversidad, Bosques y Desertificaci\u00f3n. | ||
| 223 | Ministerio para la Transici\u00f3n Ecol\u00f3gica y el Reto | 223 | Ministerio para la Transici\u00f3n Ecol\u00f3gica y el Reto | ||
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