Cambios
En el instante 23 de junio de 2026, 15:46:57 UTC,
-
Modificado el valor del campo
spatial_coverage
a[{'bbox': '{"type": "Polygon", "coordinates": [[[-18.16, 27.64], [4.32, 27.64], [4.32, 43.79], [-18.16, 43.79], [-18.16, 27.64]]]}', 'centroid': '{"type": "Point", "coordinates": [-6.92, 35.715]}', 'text': 'España', 'uri': 'http://datos.gob.es/recurso/sector-publico/territorio/Pais/España'}]
en Clusters of traffic accidents caused by ungulates: identification and evaluation of their significance in the Catalonia road network.
| 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: 978-91-637-7327-3", | 4 | "alternate_identifier": "ISBN: 978-91-637-7327-3", | ||
| 5 | "author": "Rosell, C., B\u00edl, M., Camps, F., Andrasik, R., | 5 | "author": "Rosell, C., B\u00edl, M., Camps, F., Andrasik, R., | ||
| 6 | Fern\u00e1ndez-Bou, M. y Janoska, Z.", | 6 | Fern\u00e1ndez-Bou, M. y Janoska, Z.", | ||
| 7 | "author_name": "Rosell, C., B\u00edl, M., Camps, F., Andrasik, R., | 7 | "author_name": "Rosell, C., B\u00edl, M., Camps, F., Andrasik, R., | ||
| 8 | Fern\u00e1ndez-Bou, M. y Janoska, Z.", | 8 | Fern\u00e1ndez-Bou, M. y Janoska, Z.", | ||
| 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": "Rosell, C., B\u00edl, M., Camps, F., Andrasik, R., | 36 | "name": "Rosell, C., B\u00edl, M., Camps, F., Andrasik, R., | ||
| 37 | Fern\u00e1ndez-Bou, M. y Janoska, Z." | 37 | Fern\u00e1ndez-Bou, M. y Janoska, Z." | ||
| 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 | less_Areas_in_Europe/links/54df95710cf29666378b912d/largepreview.png", | 46 | less_Areas_in_Europe/links/54df95710cf29666378b912d/largepreview.png", | ||
| 47 | "groups": [], | 47 | "groups": [], | ||
| 48 | "hvd": "non_hvd", | 48 | "hvd": "non_hvd", | ||
| 49 | "id": "f3cd2a6f-df57-5303-bf46-bad842a3d019", | 49 | "id": "f3cd2a6f-df57-5303-bf46-bad842a3d019", | ||
| 50 | "identifier": "f3cd2a6f-df57-5303-bf46-bad842a3d019", | 50 | "identifier": "f3cd2a6f-df57-5303-bf46-bad842a3d019", | ||
| 51 | "inspire_id": "", | 51 | "inspire_id": "", | ||
| 52 | "isopen": true, | 52 | "isopen": true, | ||
| 53 | "language": | 53 | "language": | ||
| 54 | "http://publications.europa.eu/resource/authority/language/SPA", | 54 | "http://publications.europa.eu/resource/authority/language/SPA", | ||
| 55 | "license_id": "cc-by", | 55 | "license_id": "cc-by", | ||
| 56 | "license_title": "Creative Commons Attribution", | 56 | "license_title": "Creative Commons Attribution", | ||
| 57 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | 57 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | ||
| 58 | "lineage_process_steps": [], | 58 | "lineage_process_steps": [], | ||
| 59 | "lineage_source": [ | 59 | "lineage_source": [ | ||
| 60 | "2014 IENE International Conference. Programme and abstracts", | 60 | "2014 IENE International Conference. Programme and abstracts", | ||
| 61 | "pag. 76" | 61 | "pag. 76" | ||
| 62 | ], | 62 | ], | ||
| 63 | "maintainer": "", | 63 | "maintainer": "", | ||
| 64 | "maintainer_name": "", | 64 | "maintainer_name": "", | ||
| 65 | "metadata_created": "2026-06-23T14:47:39.629563", | 65 | "metadata_created": "2026-06-23T14:47:39.629563", | ||
| n | 66 | "metadata_modified": "2026-06-23T14:47:39.629569", | n | 66 | "metadata_modified": "2026-06-23T15:46:57.441774", |
| 67 | "metadata_profile": [ | 67 | "metadata_profile": [ | ||
| 68 | "https://www.w3.org/TR/vocab-dcat-3/" | 68 | "https://www.w3.org/TR/vocab-dcat-3/" | ||
| 69 | ], | 69 | ], | ||
| 70 | "miteco_data_population": { | 70 | "miteco_data_population": { | ||
| 71 | "es": "" | 71 | "es": "" | ||
| 72 | }, | 72 | }, | ||
| 73 | "miteco_data_territory": { | 73 | "miteco_data_territory": { | ||
| 74 | "es": "" | 74 | "es": "" | ||
| 75 | }, | 75 | }, | ||
| 76 | "miteco_dataset_type": | 76 | "miteco_dataset_type": | ||
| 77 | //publications.europa.eu/resource/authority/dataset-type/STATISTICAL", | 77 | //publications.europa.eu/resource/authority/dataset-type/STATISTICAL", | ||
| 78 | "miteco_geo_level": "1", | 78 | "miteco_geo_level": "1", | ||
| 79 | "modified": "2026-06-23", | 79 | "modified": "2026-06-23", | ||
| 80 | "name": "f3cd2a6f-df57-5303-bf46-bad842a3d019", | 80 | "name": "f3cd2a6f-df57-5303-bf46-bad842a3d019", | ||
| 81 | "notes": "Animal Vehicle Collisions (AVC) often show a pattern of | 81 | "notes": "Animal Vehicle Collisions (AVC) often show a pattern of | ||
| 82 | aggregation, with clusters along conflictive road stretches. Road | 82 | aggregation, with clusters along conflictive road stretches. Road | ||
| 83 | traffic safety is diminished in these hotspots, due to the risk of | 83 | traffic safety is diminished in these hotspots, due to the risk of | ||
| 84 | accidents involving animals. Therefore, the identification of these | 84 | accidents involving animals. Therefore, the identification of these | ||
| 85 | stretches is essential to apply effective mitigation measures. Data | 85 | stretches is essential to apply effective mitigation measures. Data | ||
| 86 | from 2,110 accidents involving ungulates were registered in the 12,124 | 86 | from 2,110 accidents involving ungulates were registered in the 12,124 | ||
| 87 | km of the Catalan (NE Spain) road network during a five-year period | 87 | km of the Catalan (NE Spain) road network during a five-year period | ||
| 88 | (2007-2011). The data were collected by traffic police and completed | 88 | (2007-2011). The data were collected by traffic police and completed | ||
| 89 | with data provided by road management teams, the traffic management | 89 | with data provided by road management teams, the traffic management | ||
| 90 | agency and the wildlife management department. Two different methods | 90 | agency and the wildlife management department. Two different methods | ||
| 91 | were used to determine the location of the clusters of accidents | 91 | were used to determine the location of the clusters of accidents | ||
| 92 | caused by ungulates. First the kernel density estimation (KDE) was | 92 | caused by ungulates. First the kernel density estimation (KDE) was | ||
| 93 | applied to the 1-km stretches of road that had previously been | 93 | applied to the 1-km stretches of road that had previously been | ||
| 94 | identified as the most conflictive by comparing the data with a random | 94 | identified as the most conflictive by comparing the data with a random | ||
| 95 | situation in which the probability of occurrence along each stretch | 95 | situation in which the probability of occurrence along each stretch | ||
| 96 | followed a Poisson distribution. However, this method could not be | 96 | followed a Poisson distribution. However, this method could not be | ||
| 97 | used to determine the statistical significance of the clusters that | 97 | used to determine the statistical significance of the clusters that | ||
| 98 | were identified. The second method (KDE+) consisted of a procedure | 98 | were identified. The second method (KDE+) consisted of a procedure | ||
| 99 | based on standard KDE that identify the most hazardous road stretches | 99 | based on standard KDE that identify the most hazardous road stretches | ||
| 100 | by testing the statistical significance of the resulting clusters. The | 100 | by testing the statistical significance of the resulting clusters. The | ||
| 101 | clusters were identified where the kernel density function exceeded | 101 | clusters were identified where the kernel density function exceeded | ||
| 102 | the significance level corresponding to the 95th percentile, and the | 102 | the significance level corresponding to the 95th percentile, and the | ||
| 103 | application of cluster strength evaluation provided a sorted list of | 103 | application of cluster strength evaluation provided a sorted list of | ||
| 104 | hazardous locations. Traffic accidents caused by ungulates mainly wild | 104 | hazardous locations. Traffic accidents caused by ungulates mainly wild | ||
| 105 | boar and deer) have a strong tendency to cluster, with about one third | 105 | boar and deer) have a strong tendency to cluster, with about one third | ||
| 106 | of accidents located at around 1% of the road network length. The | 106 | of accidents located at around 1% of the road network length. The | ||
| 107 | results provided by this method allow efforts to apply mitigation | 107 | results provided by this method allow efforts to apply mitigation | ||
| 108 | measures to be focused on the most hazardous road stretches, where the | 108 | measures to be focused on the most hazardous road stretches, where the | ||
| 109 | best benefit-cost ratio can be expected.", | 109 | best benefit-cost ratio can be expected.", | ||
| 110 | "notes_translated": { | 110 | "notes_translated": { | ||
| 111 | "en": "Animal Vehicle Collisions (AVC) often show a pattern of | 111 | "en": "Animal Vehicle Collisions (AVC) often show a pattern of | ||
| 112 | aggregation, with clusters along conflictive road stretches. Road | 112 | aggregation, with clusters along conflictive road stretches. Road | ||
| 113 | traffic safety is diminished in these hotspots, due to the risk of | 113 | traffic safety is diminished in these hotspots, due to the risk of | ||
| 114 | accidents involving animals. Therefore, the identification of these | 114 | accidents involving animals. Therefore, the identification of these | ||
| 115 | stretches is essential to apply effective mitigation measures. Data | 115 | stretches is essential to apply effective mitigation measures. Data | ||
| 116 | from 2,110 accidents involving ungulates were registered in the 12,124 | 116 | from 2,110 accidents involving ungulates were registered in the 12,124 | ||
| 117 | km of the Catalan (NE Spain) road network during a five-year period | 117 | km of the Catalan (NE Spain) road network during a five-year period | ||
| 118 | (2007-2011). The data were collected by traffic police and completed | 118 | (2007-2011). The data were collected by traffic police and completed | ||
| 119 | with data provided by road management teams, the traffic management | 119 | with data provided by road management teams, the traffic management | ||
| 120 | agency and the wildlife management department. Two different methods | 120 | agency and the wildlife management department. Two different methods | ||
| 121 | were used to determine the location of the clusters of accidents | 121 | were used to determine the location of the clusters of accidents | ||
| 122 | caused by ungulates. First the kernel density estimation (KDE) was | 122 | caused by ungulates. First the kernel density estimation (KDE) was | ||
| 123 | applied to the 1-km stretches of road that had previously been | 123 | applied to the 1-km stretches of road that had previously been | ||
| 124 | identified as the most conflictive by comparing the data with a random | 124 | identified as the most conflictive by comparing the data with a random | ||
| 125 | situation in which the probability of occurrence along each stretch | 125 | situation in which the probability of occurrence along each stretch | ||
| 126 | followed a Poisson distribution. However, this method could not be | 126 | followed a Poisson distribution. However, this method could not be | ||
| 127 | used to determine the statistical significance of the clusters that | 127 | used to determine the statistical significance of the clusters that | ||
| 128 | were identified. The second method (KDE+) consisted of a procedure | 128 | were identified. The second method (KDE+) consisted of a procedure | ||
| 129 | based on standard KDE that identify the most hazardous road stretches | 129 | based on standard KDE that identify the most hazardous road stretches | ||
| 130 | by testing the statistical significance of the resulting clusters. The | 130 | by testing the statistical significance of the resulting clusters. The | ||
| 131 | clusters were identified where the kernel density function exceeded | 131 | clusters were identified where the kernel density function exceeded | ||
| 132 | the significance level corresponding to the 95th percentile, and the | 132 | the significance level corresponding to the 95th percentile, and the | ||
| 133 | application of cluster strength evaluation provided a sorted list of | 133 | application of cluster strength evaluation provided a sorted list of | ||
| 134 | hazardous locations. Traffic accidents caused by ungulates mainly | 134 | hazardous locations. Traffic accidents caused by ungulates mainly | ||
| 135 | wild boar and deer) have a strong tendency to cluster, with about one | 135 | wild boar and deer) have a strong tendency to cluster, with about one | ||
| 136 | third of accidents located at around 1% of the road network length. | 136 | third of accidents located at around 1% of the road network length. | ||
| 137 | The results provided by this method allow efforts to apply mitigation | 137 | The results provided by this method allow efforts to apply mitigation | ||
| 138 | measures to be focused on the most hazardous road stretches, where the | 138 | measures to be focused on the most hazardous road stretches, where the | ||
| 139 | best benefit-cost ratio can be expected.", | 139 | best benefit-cost ratio can be expected.", | ||
| 140 | "es": "Animal Vehicle Collisions (AVC) often show a pattern of | 140 | "es": "Animal Vehicle Collisions (AVC) often show a pattern of | ||
| 141 | aggregation, with clusters along conflictive road stretches. Road | 141 | aggregation, with clusters along conflictive road stretches. Road | ||
| 142 | traffic safety is diminished in these hotspots, due to the risk of | 142 | traffic safety is diminished in these hotspots, due to the risk of | ||
| 143 | accidents involving animals. Therefore, the identification of these | 143 | accidents involving animals. Therefore, the identification of these | ||
| 144 | stretches is essential to apply effective mitigation measures. Data | 144 | stretches is essential to apply effective mitigation measures. Data | ||
| 145 | from 2,110 accidents involving ungulates were registered in the 12,124 | 145 | from 2,110 accidents involving ungulates were registered in the 12,124 | ||
| 146 | km of the Catalan (NE Spain) road network during a five-year period | 146 | km of the Catalan (NE Spain) road network during a five-year period | ||
| 147 | (2007-2011). The data were collected by traffic police and completed | 147 | (2007-2011). The data were collected by traffic police and completed | ||
| 148 | with data provided by road management teams, the traffic management | 148 | with data provided by road management teams, the traffic management | ||
| 149 | agency and the wildlife management department. Two different methods | 149 | agency and the wildlife management department. Two different methods | ||
| 150 | were used to determine the location of the clusters of accidents | 150 | were used to determine the location of the clusters of accidents | ||
| 151 | caused by ungulates. First the kernel density estimation (KDE) was | 151 | caused by ungulates. First the kernel density estimation (KDE) was | ||
| 152 | applied to the 1-km stretches of road that had previously been | 152 | applied to the 1-km stretches of road that had previously been | ||
| 153 | identified as the most conflictive by comparing the data with a random | 153 | identified as the most conflictive by comparing the data with a random | ||
| 154 | situation in which the probability of occurrence along each stretch | 154 | situation in which the probability of occurrence along each stretch | ||
| 155 | followed a Poisson distribution. However, this method could not be | 155 | followed a Poisson distribution. However, this method could not be | ||
| 156 | used to determine the statistical significance of the clusters that | 156 | used to determine the statistical significance of the clusters that | ||
| 157 | were identified. The second method (KDE+) consisted of a procedure | 157 | were identified. The second method (KDE+) consisted of a procedure | ||
| 158 | based on standard KDE that identify the most hazardous road stretches | 158 | based on standard KDE that identify the most hazardous road stretches | ||
| 159 | by testing the statistical significance of the resulting clusters. The | 159 | by testing the statistical significance of the resulting clusters. The | ||
| 160 | clusters were identified where the kernel density function exceeded | 160 | clusters were identified where the kernel density function exceeded | ||
| 161 | the significance level corresponding to the 95th percentile, and the | 161 | the significance level corresponding to the 95th percentile, and the | ||
| 162 | application of cluster strength evaluation provided a sorted list of | 162 | application of cluster strength evaluation provided a sorted list of | ||
| 163 | hazardous locations. Traffic accidents caused by ungulates mainly wild | 163 | hazardous locations. Traffic accidents caused by ungulates mainly wild | ||
| 164 | boar and deer) have a strong tendency to cluster, with about one third | 164 | boar and deer) have a strong tendency to cluster, with about one third | ||
| 165 | of accidents located at around 1% of the road network length. The | 165 | of accidents located at around 1% of the road network length. The | ||
| 166 | results provided by this method allow efforts to apply mitigation | 166 | results provided by this method allow efforts to apply mitigation | ||
| 167 | measures to be focused on the most hazardous road stretches, where the | 167 | measures to be focused on the most hazardous road stretches, where the | ||
| 168 | best benefit-cost ratio can be expected." | 168 | best benefit-cost ratio can be expected." | ||
| 169 | }, | 169 | }, | ||
| 170 | "num_resources": 1, | 170 | "num_resources": 1, | ||
| 171 | "num_tags": 2, | 171 | "num_tags": 2, | ||
| 172 | "organization": { | 172 | "organization": { | ||
| 173 | "approval_status": "approved", | 173 | "approval_status": "approved", | ||
| 174 | "created": "2026-06-23T14:36:08.942021", | 174 | "created": "2026-06-23T14:36:08.942021", | ||
| 175 | "description": "", | 175 | "description": "", | ||
| 176 | "id": "bca483f7-26e2-4ed8-99e8-65f5b3c7a26e", | 176 | "id": "bca483f7-26e2-4ed8-99e8-65f5b3c7a26e", | ||
| 177 | "image_url": "", | 177 | "image_url": "", | ||
| 178 | "is_organization": true, | 178 | "is_organization": true, | ||
| 179 | "name": "iepnb", | 179 | "name": "iepnb", | ||
| 180 | "state": "active", | 180 | "state": "active", | ||
| 181 | "title": "", | 181 | "title": "", | ||
| 182 | "type": "organization" | 182 | "type": "organization" | ||
| 183 | }, | 183 | }, | ||
| 184 | "owner_org": "bca483f7-26e2-4ed8-99e8-65f5b3c7a26e", | 184 | "owner_org": "bca483f7-26e2-4ed8-99e8-65f5b3c7a26e", | ||
| 185 | "private": false, | 185 | "private": false, | ||
| 186 | "provenance": { | 186 | "provenance": { | ||
| 187 | "en": "", | 187 | "en": "", | ||
| 188 | "es": "" | 188 | "es": "" | ||
| 189 | }, | 189 | }, | ||
| 190 | "publisher": [ | 190 | "publisher": [ | ||
| 191 | { | 191 | { | ||
| 192 | "email": "buzon-bdatos@miteco.es", | 192 | "email": "buzon-bdatos@miteco.es", | ||
| 193 | "name": "\u00c1rea de Banco de Datos de la Naturaleza. | 193 | "name": "\u00c1rea de Banco de Datos de la Naturaleza. | ||
| 194 | Direcci\u00f3n General Biodiversidad, Bosques y Desertificaci\u00f3n. | 194 | Direcci\u00f3n General Biodiversidad, Bosques y Desertificaci\u00f3n. | ||
| 195 | Ministerio para la Transici\u00f3n Ecol\u00f3gica y el Reto | 195 | Ministerio para la Transici\u00f3n Ecol\u00f3gica y el Reto | ||
| 196 | Demogr\u00e1fico", | 196 | Demogr\u00e1fico", | ||
| 197 | "type": "http://purl.org/adms/publishertype/NationalAuthority", | 197 | "type": "http://purl.org/adms/publishertype/NationalAuthority", | ||
| 198 | "uri": "https://iepnb.es/catalogo/organization/iepnb", | 198 | "uri": "https://iepnb.es/catalogo/organization/iepnb", | ||
| 199 | "url": "https://www.miteco.gob.es/" | 199 | "url": "https://www.miteco.gob.es/" | ||
| 200 | } | 200 | } | ||
| 201 | ], | 201 | ], | ||
| 202 | "publisher_email": "buzon-bdatos@miteco.es", | 202 | "publisher_email": "buzon-bdatos@miteco.es", | ||
| 203 | "publisher_name": "\u00c1rea de Banco de Datos de la Naturaleza. | 203 | "publisher_name": "\u00c1rea de Banco de Datos de la Naturaleza. | ||
| 204 | Direcci\u00f3n General Biodiversidad, Bosques y Desertificaci\u00f3n. | 204 | Direcci\u00f3n General Biodiversidad, Bosques y Desertificaci\u00f3n. | ||
| 205 | Ministerio para la Transici\u00f3n Ecol\u00f3gica y el Reto | 205 | Ministerio para la Transici\u00f3n Ecol\u00f3gica y el Reto | ||
| 206 | Demogr\u00e1fico", | 206 | Demogr\u00e1fico", | ||
| 207 | "publisher_type": | 207 | "publisher_type": | ||
| 208 | "http://purl.org/adms/publishertype/NationalAuthority", | 208 | "http://purl.org/adms/publishertype/NationalAuthority", | ||
| 209 | "publisher_uri": "https://iepnb.es/catalogo/organization/iepnb", | 209 | "publisher_uri": "https://iepnb.es/catalogo/organization/iepnb", | ||
| 210 | "publisher_url": "https://www.miteco.gob.es/", | 210 | "publisher_url": "https://www.miteco.gob.es/", | ||
| 211 | "purpose": { | 211 | "purpose": { | ||
| 212 | "en": "", | 212 | "en": "", | ||
| 213 | "es": "" | 213 | "es": "" | ||
| 214 | }, | 214 | }, | ||
| 215 | "reference": [], | 215 | "reference": [], | ||
| 216 | "relationships_as_object": [], | 216 | "relationships_as_object": [], | ||
| 217 | "relationships_as_subject": [], | 217 | "relationships_as_subject": [], | ||
| 218 | "resources": [ | 218 | "resources": [ | ||
| 219 | { | 219 | { | ||
| 220 | "access_url": | 220 | "access_url": | ||
| 221 | 5303-bf46-bad842a3d019/resource/dc78301a-e6c6-4cf2-912d-d095b7439736", | 221 | 5303-bf46-bad842a3d019/resource/dc78301a-e6c6-4cf2-912d-d095b7439736", | ||
| 222 | "availability": | 222 | "availability": | ||
| 223 | ications.europa.eu/resource/authority/planned-availability/AVAILABLE", | 223 | ications.europa.eu/resource/authority/planned-availability/AVAILABLE", | ||
| 224 | "cache_last_updated": null, | 224 | "cache_last_updated": null, | ||
| 225 | "cache_url": null, | 225 | "cache_url": null, | ||
| 226 | "created": "2014-09-19T00:00:00", | 226 | "created": "2014-09-19T00:00:00", | ||
| 227 | "dataset_id": "00866375-beb9-458c-8c01-f984d9c1edbb", | 227 | "dataset_id": "00866375-beb9-458c-8c01-f984d9c1edbb", | ||
| 228 | "datastore_active": false, | 228 | "datastore_active": false, | ||
| 229 | "datastore_contains_all_records_of_source_file": false, | 229 | "datastore_contains_all_records_of_source_file": false, | ||
| 230 | "description": "Art\u00edculo en libro", | 230 | "description": "Art\u00edculo en libro", | ||
| 231 | "download_url": | 231 | "download_url": | ||
| 232 | .iene.info/content/uploads/IENE_2014_Proceedings_updated_version.pdf", | 232 | .iene.info/content/uploads/IENE_2014_Proceedings_updated_version.pdf", | ||
| 233 | "encoding": "UTF-8", | 233 | "encoding": "UTF-8", | ||
| 234 | "format": "HTML", | 234 | "format": "HTML", | ||
| 235 | "hash": "", | 235 | "hash": "", | ||
| 236 | "id": "dc78301a-e6c6-4cf2-912d-d095b7439736", | 236 | "id": "dc78301a-e6c6-4cf2-912d-d095b7439736", | ||
| 237 | "issued": "", | 237 | "issued": "", | ||
| 238 | "language": | 238 | "language": | ||
| 239 | "http://publications.europa.eu/resource/authority/language/ENG", | 239 | "http://publications.europa.eu/resource/authority/language/ENG", | ||
| 240 | "last_modified": null, | 240 | "last_modified": null, | ||
| 241 | "license": "http://creativecommons.org/licenses/by/4.0/", | 241 | "license": "http://creativecommons.org/licenses/by/4.0/", | ||
| 242 | "license_id": "cc-by", | 242 | "license_id": "cc-by", | ||
| n | 243 | "metadata_modified": "2026-06-23T14:47:39.626226", | n | 243 | "metadata_modified": "2026-06-23T15:46:57.445323", |
| 244 | "mimetype": | 244 | "mimetype": | ||
| 245 | "https://www.iana.org/assignments/media-types/text/html", | 245 | "https://www.iana.org/assignments/media-types/text/html", | ||
| 246 | "mimetype_inner": null, | 246 | "mimetype_inner": null, | ||
| 247 | "modified": "2026-06-23", | 247 | "modified": "2026-06-23", | ||
| 248 | "name": "Acceso al recurso", | 248 | "name": "Acceso al recurso", | ||
| 249 | "package_id": "f3cd2a6f-df57-5303-bf46-bad842a3d019", | 249 | "package_id": "f3cd2a6f-df57-5303-bf46-bad842a3d019", | ||
| 250 | "position": 0, | 250 | "position": 0, | ||
| 251 | "protocol": null, | 251 | "protocol": null, | ||
| 252 | "resource_type": null, | 252 | "resource_type": null, | ||
| 253 | "rights": | 253 | "rights": | ||
| 254 | .europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations", | 254 | .europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations", | ||
| 255 | "size": 0, | 255 | "size": 0, | ||
| 256 | "state": "active", | 256 | "state": "active", | ||
| 257 | "status": "http://purl.org/adms/status/Completed", | 257 | "status": "http://purl.org/adms/status/Completed", | ||
| 258 | "url": | 258 | "url": | ||
| 259 | .iene.info/content/uploads/IENE_2014_Proceedings_updated_version.pdf", | 259 | .iene.info/content/uploads/IENE_2014_Proceedings_updated_version.pdf", | ||
| 260 | "url_type": null | 260 | "url_type": null | ||
| 261 | } | 261 | } | ||
| 262 | ], | 262 | ], | ||
| 263 | "schemingdcat_xls_metadata_template": false, | 263 | "schemingdcat_xls_metadata_template": false, | ||
| 264 | "source": "", | 264 | "source": "", | ||
| 265 | "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[-18.16, | 265 | "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[-18.16, | ||
| 266 | 27.64], [4.32, 27.64], [4.32, 43.79], [-18.16, 43.79], [-18.16, | 266 | 27.64], [4.32, 27.64], [4.32, 43.79], [-18.16, 43.79], [-18.16, | ||
| 267 | 27.64]]]}", | 267 | 27.64]]]}", | ||
| 268 | "spatial_coverage": [ | 268 | "spatial_coverage": [ | ||
| 269 | { | 269 | { | ||
| t | 270 | "bbox": { | t | 270 | "bbox": "{\"type\": \"Polygon\", \"coordinates\": [[[-18.16, |
| 271 | "coordinates": [ | 271 | 27.64], [4.32, 27.64], [4.32, 43.79], [-18.16, 43.79], [-18.16, | ||
| 272 | [ | 272 | 27.64]]]}", | ||
| 273 | [ | 273 | "centroid": "{\"type\": \"Point\", \"coordinates\": [-6.92, | ||
| 274 | -18.16, | 274 | 35.715]}", | ||
| 275 | 27.64 | ||||
| 276 | ], | ||||
| 277 | [ | ||||
| 278 | 4.32, | ||||
| 279 | 27.64 | ||||
| 280 | ], | ||||
| 281 | [ | ||||
| 282 | 4.32, | ||||
| 283 | 43.79 | ||||
| 284 | ], | ||||
| 285 | [ | ||||
| 286 | -18.16, | ||||
| 287 | 43.79 | ||||
| 288 | ], | ||||
| 289 | [ | ||||
| 290 | -18.16, | ||||
| 291 | 27.64 | ||||
| 292 | ] | ||||
| 293 | ] | ||||
| 294 | ], | ||||
| 295 | "type": "Polygon" | ||||
| 296 | }, | ||||
| 297 | "centroid": { | ||||
| 298 | "coordinates": [ | ||||
| 299 | -6.92, | ||||
| 300 | 35.715 | ||||
| 301 | ], | ||||
| 302 | "type": "Point" | ||||
| 303 | }, | ||||
| 304 | "text": "Espa\u00f1a", | 275 | "text": "Espa\u00f1a", | ||
| 305 | "uri": | 276 | "uri": | ||
| 306 | ttp://datos.gob.es/recurso/sector-publico/territorio/Pais/Espa\u00f1a" | 277 | ttp://datos.gob.es/recurso/sector-publico/territorio/Pais/Espa\u00f1a" | ||
| 307 | } | 278 | } | ||
| 308 | ], | 279 | ], | ||
| 309 | "spatial_resolution_in_meters": "", | 280 | "spatial_resolution_in_meters": "", | ||
| 310 | "spatial_uri": | 281 | "spatial_uri": | ||
| 311 | tp://datos.gob.es/recurso/sector-publico/territorio/Pais/Espa\u00f1a", | 282 | tp://datos.gob.es/recurso/sector-publico/territorio/Pais/Espa\u00f1a", | ||
| 312 | "state": "active", | 283 | "state": "active", | ||
| 313 | "study_variables": { | 284 | "study_variables": { | ||
| 314 | "es": "" | 285 | "es": "" | ||
| 315 | }, | 286 | }, | ||
| 316 | "tag_uri": [ | 287 | "tag_uri": [ | ||
| 317 | 288 | ||||
| 318 | tp://inspire.ec.europa.eu/metadata-codelist/TopicCategory/environment" | 289 | tp://inspire.ec.europa.eu/metadata-codelist/TopicCategory/environment" | ||
| 319 | ], | 290 | ], | ||
| 320 | "tags": [ | 291 | "tags": [ | ||
| 321 | { | 292 | { | ||
| 322 | "display_name": "accidentes-y-atropellos-de-fauna", | 293 | "display_name": "accidentes-y-atropellos-de-fauna", | ||
| 323 | "id": "629c6d17-b04f-404c-900a-8c31fae0ecc4", | 294 | "id": "629c6d17-b04f-404c-900a-8c31fae0ecc4", | ||
| 324 | "name": "accidentes-y-atropellos-de-fauna", | 295 | "name": "accidentes-y-atropellos-de-fauna", | ||
| 325 | "state": "active", | 296 | "state": "active", | ||
| 326 | "vocabulary_id": null | 297 | "vocabulary_id": null | ||
| 327 | }, | 298 | }, | ||
| 328 | { | 299 | { | ||
| 329 | "display_name": "fragmentacion", | 300 | "display_name": "fragmentacion", | ||
| 330 | "id": "627f9c0a-a199-4c69-b563-0c8d626e3194", | 301 | "id": "627f9c0a-a199-4c69-b563-0c8d626e3194", | ||
| 331 | "name": "fragmentacion", | 302 | "name": "fragmentacion", | ||
| 332 | "state": "active", | 303 | "state": "active", | ||
| 333 | "vocabulary_id": null | 304 | "vocabulary_id": null | ||
| 334 | } | 305 | } | ||
| 335 | ], | 306 | ], | ||
| 336 | "thematic_area": [ | 307 | "thematic_area": [ | ||
| 337 | "especies_silvestres" | 308 | "especies_silvestres" | ||
| 338 | ], | 309 | ], | ||
| 339 | "theme_es": [ | 310 | "theme_es": [ | ||
| 340 | "http://datos.gob.es/kos/sector-publico/sector/medio-ambiente" | 311 | "http://datos.gob.es/kos/sector-publico/sector/medio-ambiente" | ||
| 341 | ], | 312 | ], | ||
| 342 | "title": "Clusters of traffic accidents caused by ungulates: | 313 | "title": "Clusters of traffic accidents caused by ungulates: | ||
| 343 | identification and evaluation of their significance in the Catalonia | 314 | identification and evaluation of their significance in the Catalonia | ||
| 344 | road network.", | 315 | road network.", | ||
| 345 | "title_translated": { | 316 | "title_translated": { | ||
| 346 | "en": "", | 317 | "en": "", | ||
| 347 | "es": "Clusters of traffic accidents caused by ungulates: | 318 | "es": "Clusters of traffic accidents caused by ungulates: | ||
| 348 | identification and evaluation of their significance in the Catalonia | 319 | identification and evaluation of their significance in the Catalonia | ||
| 349 | road network." | 320 | road network." | ||
| 350 | }, | 321 | }, | ||
| 351 | "topic": | 322 | "topic": | ||
| 352 | "http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/biota", | 323 | "http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/biota", | ||
| 353 | "type": "dataset", | 324 | "type": "dataset", | ||
| 354 | "url": | 325 | "url": | ||
| 355 | //iepnb.es:443/catalogo/dataset/f3cd2a6f-df57-5303-bf46-bad842a3d019", | 326 | //iepnb.es:443/catalogo/dataset/f3cd2a6f-df57-5303-bf46-bad842a3d019", | ||
| 356 | "version": "", | 327 | "version": "", | ||
| 357 | "version_notes": { | 328 | "version_notes": { | ||
| 358 | "en": "", | 329 | "en": "", | ||
| 359 | "es": "" | 330 | "es": "" | ||
| 360 | } | 331 | } | ||
| 361 | } | 332 | } |