Approved
API endpoint that allows base resources to be viewed or edited.
GET /api/v2/resources/approved?page=3
{ "links": { "next": "http://ihp-wins.unesco.org/api/v2/resources/approved?page=4", "previous": "http://ihp-wins.unesco.org/api/v2/resources/approved?page=2" }, "total": 311, "page": 3, "page_size": 10, "resources": [ { "pk": "1425", "uuid": "82028454-66a6-11e9-936d-005056062634", "resource_type": "document", "polymorphic_ctype_id": "59", "owner": { "pk": 1209, "username": "stefan.siepman", "first_name": "Stefan", "last_name": "Siepman", "avatar": "https://www.gravatar.com/avatar/a96f08451b4ece3cbe43d48344065e80/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "poc": { "pk": 1209, "username": "stefan.siepman", "first_name": "Stefan", "last_name": "Siepman", "avatar": "https://www.gravatar.com/avatar/a96f08451b4ece3cbe43d48344065e80/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "metadata_author": { "pk": 1209, "username": "stefan.siepman", "first_name": "Stefan", "last_name": "Siepman", "avatar": "https://www.gravatar.com/avatar/a96f08451b4ece3cbe43d48344065e80/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "keywords": [ { "name": "GGRETA", "slug": "ggreta" } ], "regions": [ { "code": "GLO", "name": "Global" } ], "category": { "identifier": "Groundwater" }, "title": "GGRETA training Delft 2019 - MODFLOW-ModelCalibration.pdf", "abstract": "GGRETA training Delft 2019", "attribution": null, "doi": "None", "alternate": null, "bbox_polygon": { "type": "Polygon", "coordinates": [ [ [ -180.0, -90.0 ], [ -180.0, 90.0 ], [ 180.0, 90.0 ], [ 180.0, -90.0 ], [ -180.0, -90.0 ] ] ] }, "ll_bbox_polygon": { "type": "Polygon", "coordinates": [ [ [ -180.0, -90.0 ], [ -180.0, 90.0 ], [ 180.0, 90.0 ], [ 180.0, -90.0 ], [ -180.0, -90.0 ] ] ] }, "srid": "4326", "date": "2019-04-24T15:34:00Z", "date_type": "publication", "edition": "N/A", "purpose": "", "maintenance_frequency": null, "restriction_code_type": null, "constraints_other": "Unless otherwise specified, no restriction applies.", "license": { "identifier": "not_specified" }, "language": "eng", "spatial_representation_type": null, "temporal_extent_start": null, "temporal_extent_end": null, "supplemental_information": "No information provided", "data_quality_statement": "", "group": { "pk": 84, "name": "IGRAC" }, "popular_count": "1", "share_count": "0", "rating": "0", "featured": false, "is_published": false, "is_approved": true, "detail_url": "/documents/1425", "embed_url": "", "created": "2020-02-11T11:06:45.204622Z", "last_updated": "2021-03-25T17:24:27.596572Z", "raw_abstract": "GGRETA training Delft 2019", "raw_purpose": "", "raw_constraints_other": "Unless otherwise specified, no restriction applies.", "raw_supplemental_information": "No information provided", "raw_data_quality_statement": "", "metadata_only": false, "thumbnail_url": "http://ihp-wins.unesco.org/static/thumbs/document-82028454-66a6-11e9-936d-005056062634-thumb.256b01f894c4.png" }, { "pk": "896", "uuid": "75f92120-b82b-11e7-bdb3-005056062634", "resource_type": "layer", "polymorphic_ctype_id": "51", "owner": { "pk": 1065, "username": "najet.guefradj", "first_name": "Najet", "last_name": "Guefradj", "avatar": "https://www.gravatar.com/avatar/e5b6ec7203dd9989e1d70a772bb82695/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "poc": { "pk": 1065, "username": "najet.guefradj", "first_name": "Najet", "last_name": "Guefradj", "avatar": "https://www.gravatar.com/avatar/e5b6ec7203dd9989e1d70a772bb82695/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "metadata_author": { "pk": 1065, "username": "najet.guefradj", "first_name": "Najet", "last_name": "Guefradj", "avatar": "https://www.gravatar.com/avatar/e5b6ec7203dd9989e1d70a772bb82695/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "keywords": [ { "name": "Health", "slug": "Health" } ], "regions": [ { "code": "GLO", "name": "Global" } ], "category": { "identifier": "Water quality" }, "title": "Disability-Adjusted Life Year attributable to paratyphoid fever in 2015 for 5-14 year-old females", "abstract": "This layer represents the percentage of total Disability-Adjusted Life Year attributable to paratyphoid fever for 5-14 year-old females in 2015. \r\nOne DALY can be thought of as one lost year of \"healthy\" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table.\r\n\r\nEstimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 \r\nFor more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbdNote : Value -99 indicates that no data is available.\r\nA detailed description of the methodology and additional resources related to this topic can be found here: http://ghdx.healthdata.org/gbd-2015 \r\nFor more information, visit the IHME website: http://www.healthdata.org/gbd", "attribution": null, "doi": null, "alternate": "geonode:paratf_fem", "bbox_polygon": { "type": "Polygon", "coordinates": [ [ [ -180.0, -59.48427929999997 ], [ -180.0, 83.62741851800007 ], [ 180.0000000000001, 83.62741851800007 ], [ 180.0000000000001, -59.48427929999997 ], [ -180.0, -59.48427929999997 ] ] ] }, "ll_bbox_polygon": null, "srid": "EPSG:4326", "date": "2017-10-07T19:50:00Z", "date_type": "publication", "edition": "Global Burden of Disease Study 2015. Global Burden of Disease Study 2015 (GBD 2015) Results. Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2016. Available from http://ghdx.healthdata.org/gbd-results-tool. Accessed 5 July 2017", "purpose": "", "maintenance_frequency": "notPlanned", "restriction_code_type": null, "constraints_other": "Unless otherwise specified, no restriction applies.", "license": { "identifier": "not_specified" }, "language": "eng", "spatial_representation_type": null, "temporal_extent_start": "2015-01-01T20:51:00Z", "temporal_extent_end": "2015-12-31T20:51:00Z", "supplemental_information": "Paratyphoid fever is due to the bacterium Salmonella Paratyphi, which can be contracted via water. Countries lacking hygiene facilities are the most affected by this disease, which can cause a high fever around and abdominal pains. It can be treated with antibiotics such as azithromycin.", "data_quality_statement": "", "group": { "pk": 74, "name": "IHP-Theme6-Water-education" }, "popular_count": "445", "share_count": "0", "rating": "0", "featured": false, "is_published": true, "is_approved": true, "detail_url": "/layers/paratf_fem:geonode:paratf_fem", "embed_url": "/layers/geonode:paratf_fem/embed", "created": "2020-02-11T11:06:45.204622Z", "last_updated": "2021-02-19T14:30:12.367640Z", "raw_abstract": "This layer represents the percentage of total Disability-Adjusted Life Year attributable to paratyphoid fever for 5-14 year-old females in 2015. One DALY can be thought of as one lost year of \"healthy\" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table. Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbdNote : Value -99 indicates that no data is available. A detailed description of the methodology and additional resources related to this topic can be found here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the IHME website: http://www.healthdata.org/gbd", "raw_purpose": "", "raw_constraints_other": "Unless otherwise specified, no restriction applies.", "raw_supplemental_information": "Paratyphoid fever is due to the bacterium Salmonella Paratyphi, which can be contracted via water. Countries lacking hygiene facilities are the most affected by this disease, which can cause a high fever around and abdominal pains. It can be treated with antibiotics such as azithromycin.", "raw_data_quality_statement": "", "metadata_only": false, "thumbnail_url": "http://ihp-wins.unesco.org/uploaded/thumbs/layer-75f92120-b82b-11e7-bdb3-005056062634-thumb.png?v=b79934f0" }, { "pk": "1134", "uuid": "0576cb72-4c51-11e8-a93b-005056062634", "resource_type": "layer", "polymorphic_ctype_id": "51", "owner": { "pk": 1275, "username": "adrian.barranco-fabre", "first_name": "Adrian", "last_name": "Barranco-Fabre", "avatar": "/static/avatars/adrian.barranco-fabre/resized/240/20180224_163631.d97d0775e6c3.jpg" }, "poc": { "pk": 1275, "username": "adrian.barranco-fabre", "first_name": "Adrian", "last_name": "Barranco-Fabre", "avatar": "/static/avatars/adrian.barranco-fabre/resized/240/20180224_163631.d97d0775e6c3.jpg" }, "metadata_author": { "pk": 1275, "username": "adrian.barranco-fabre", "first_name": "Adrian", "last_name": "Barranco-Fabre", "avatar": "/static/avatars/adrian.barranco-fabre/resized/240/20180224_163631.d97d0775e6c3.jpg" }, "keywords": [ { "name": "Basin", "slug": "basin" }, { "name": "Drinking water", "slug": "Drinking_water" }, { "name": "Groundwater", "slug": "groundwater" }, { "name": "Human settlements", "slug": "Humansettlements" }, { "name": "Supply", "slug": "Supply" }, { "name": "Surface water", "slug": "Surfacewater" } ], "regions": [ { "code": "GLO", "name": "Global" } ], "category": { "identifier": "Water for human settlements" }, "title": "Sediment Yield by Category", "abstract": "The land use greatly influence water quality on the one supplied by watersheds. Land use changes often increase significantly the sedimentation and nutrient pollution. Human activity can generate as well pollutant concentration rising and heavily affect water treatment cost for urban supply. This map shows the total quantity of sediment moving out of a watershed in a given time interval, being expressed as units of tonnes/km2/year, organized into four categories: “Low” if <6 tonnes/km2; “Medium” if between 6-40 tonnes/km2; “High” if > 40 tonnes/km2, and “No information”.\r\nFor more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf\r\nYou can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true", "attribution": null, "doi": null, "alternate": "geonode:SedYieldCategory_NC", "bbox_polygon": { "type": "Polygon", "coordinates": [ [ [ -149.8921253, -43.52765168 ], [ -149.8921253, 61.21766954 ], [ 174.7646444, 61.21766954 ], [ 174.7646444, -43.52765168 ], [ -149.8921253, -43.52765168 ] ] ] }, "ll_bbox_polygon": null, "srid": "EPSG:4326", "date": "2018-05-31T08:32:00Z", "date_type": "publication", "edition": "McDonald, R.I. & D. Shemie (2014). Urban Water Blueprint: Mapping conservation solutions to the global water challenge. The Nature Conservancy: Washington, D.C.", "purpose": "", "maintenance_frequency": null, "restriction_code_type": null, "constraints_other": "Unless otherwise specified, no restriction applies.", "license": { "identifier": "not_specified" }, "language": "eng", "spatial_representation_type": { "identifier": "vector" }, "temporal_extent_start": "2015-01-01T09:32:00Z", "temporal_extent_end": "2015-12-31T09:32:00Z", "supplemental_information": "The Urban Water Blueprint analyzes the state of water in more than 2000 watersheds and 530 cities worldwide to provide science-based recommendations for natural solutions that can be integrated alongside traditional infrastructure to improve water quality. \r\nThe Urban Water Blueprint has continued to improve its scientific analysis over time, correcting reported errors and improving its methodology.", "data_quality_statement": "Updated results are not reflected in the report or website. Anyone considering using the results for analysis or decision-making should contact the Urban Water Blueprint at water@tnc.org to obtain the most current estimates.", "group": { "pk": 72, "name": "IHP-Theme4-Water-for-settlements" }, "popular_count": "130", "share_count": "0", "rating": "0", "featured": true, "is_published": true, "is_approved": true, "detail_url": "/layers/datastore:geonode:SedYieldCategory_NC", "embed_url": "/layers/geonode:SedYieldCategory_NC/embed", "created": "2020-02-11T11:06:45.204622Z", "last_updated": "2021-02-19T14:30:13.070473Z", "raw_abstract": "The land use greatly influence water quality on the one supplied by watersheds. Land use changes often increase significantly the sedimentation and nutrient pollution. Human activity can generate as well pollutant concentration rising and heavily affect water treatment cost for urban supply. This map shows the total quantity of sediment moving out of a watershed in a given time interval, being expressed as units of tonnes/km2/year, organized into four categories: “Low” if 40 tonnes/km2, and “No information”. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true", "raw_purpose": "", "raw_constraints_other": "Unless otherwise specified, no restriction applies.", "raw_supplemental_information": "The Urban Water Blueprint analyzes the state of water in more than 2000 watersheds and 530 cities worldwide to provide science-based recommendations for natural solutions that can be integrated alongside traditional infrastructure to improve water quality. The Urban Water Blueprint has continued to improve its scientific analysis over time, correcting reported errors and improving its methodology.", "raw_data_quality_statement": "Updated results are not reflected in the report or website. Anyone considering using the results for analysis or decision-making should contact the Urban Water Blueprint at water@tnc.org to obtain the most current estimates.", "metadata_only": false, "thumbnail_url": "http://ihp-wins.unesco.org/uploaded/thumbs/layer-0576cb72-4c51-11e8-a93b-005056062634-thumb.png?v=526cda5b" }, { "pk": "1520", "uuid": "aee8dfc4-3ade-11ea-9f10-005056062634", "resource_type": "layer", "polymorphic_ctype_id": "51", "owner": { "pk": 1536, "username": "laura.del-val-alonso", "first_name": "Laura", "last_name": "del-Val-Alonso", "avatar": "https://www.gravatar.com/avatar/88e9d5005a660955b9ed98c57474baef/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "poc": { "pk": 1536, "username": "laura.del-val-alonso", "first_name": "Laura", "last_name": "del-Val-Alonso", "avatar": "https://www.gravatar.com/avatar/88e9d5005a660955b9ed98c57474baef/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "metadata_author": { "pk": 1536, "username": "laura.del-val-alonso", "first_name": "Laura", "last_name": "del-Val-Alonso", "avatar": "https://www.gravatar.com/avatar/88e9d5005a660955b9ed98c57474baef/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "keywords": [ { "name": "Abstraction", "slug": "abstraction" }, { "name": "Groundwater", "slug": "groundwater" }, { "name": "Supply", "slug": "Supply" } ], "regions": [ { "code": "EUR", "name": "Europe" }, { "code": "MNE", "name": "Montenegro" } ], "category": { "identifier": "Groundwater" }, "title": "DRIN (MNT) Supply Wells", "abstract": "This layer provides information about the location of the main pumping wells for water supply in the Montenegrin national segment of the Skadar/Shkoder Aquifer System", "attribution": null, "doi": null, "alternate": "geonode:DRIN_MNT_SupplyWells", "bbox_polygon": { "type": "Polygon", "coordinates": [ [ [ 19.172140940703844, 41.96003919537664 ], [ 19.18174524595787, 42.4771750951553 ], [ 19.38963994624312, 42.47484270346395 ], [ 19.378347246051117, 41.957748450086136 ], [ 19.172140940703844, 41.96003919537664 ] ] ] }, "ll_bbox_polygon": null, "srid": "EPSG:4326", "date": "2020-01-24T17:33:00Z", "date_type": "publication", "edition": "1", "purpose": "Set up the bases for the design of a transboundary groundwater monitoring network under the European Water Framework Directive", "maintenance_frequency": "unknown", "restriction_code_type": null, "constraints_other": "DRIN project", "license": { "identifier": "not_specified" }, "language": "eng", "spatial_representation_type": { "identifier": "vector" }, "temporal_extent_start": null, "temporal_extent_end": null, "supplemental_information": "No information provided", "data_quality_statement": "Further information can be found in the final report of the DRIN project \"Design and testing of a multi-purpose (transboundary) groundwater monitoring network (Albania and Montenegro)\" (del Val, Carrubba & Mas-Pla, 2019)", "group": { "pk": 118, "name": "Drin-basin" }, "popular_count": "69", "share_count": "0", "rating": "0", "featured": false, "is_published": true, "is_approved": true, "detail_url": "/layers/geonode_ihp_data:geonode:DRIN_MNT_SupplyWells", "embed_url": "/layers/geonode:DRIN_MNT_SupplyWells/embed", "created": "2020-02-11T11:06:45.204622Z", "last_updated": "2021-02-19T14:30:13.055499Z", "raw_abstract": "This layer provides information about the location of the main pumping wells for water supply in the Montenegrin national segment of the Skadar/Shkoder Aquifer System", "raw_purpose": "Set up the bases for the design of a transboundary groundwater monitoring network under the European Water Framework Directive", "raw_constraints_other": "DRIN project", "raw_supplemental_information": "No information provided", "raw_data_quality_statement": "Further information can be found in the final report of the DRIN project \"Design and testing of a multi-purpose (transboundary) groundwater monitoring network (Albania and Montenegro)\" (del Val, Carrubba & Mas-Pla, 2019)", "metadata_only": false, "thumbnail_url": "http://ihp-wins.unesco.org/uploaded/thumbs/layer-aee8dfc4-3ade-11ea-9f10-005056062634-thumb.png?v=80947a27" }, { "pk": "318", "uuid": "9d847180-e6fe-11e6-8719-005056bf7531", "resource_type": "document", "polymorphic_ctype_id": "59", "owner": { "pk": 24, "username": "Marina.Rubio", "first_name": "Marina", "last_name": "Rubio", "avatar": "/static/avatars/Marina.Rubio/resized/240/foto Marina.59bee6915e54.jpg" }, "poc": { "pk": 24, "username": "Marina.Rubio", "first_name": "Marina", "last_name": "Rubio", "avatar": "/static/avatars/Marina.Rubio/resized/240/foto Marina.59bee6915e54.jpg" }, "metadata_author": { "pk": 24, "username": "Marina.Rubio", "first_name": "Marina", "last_name": "Rubio", "avatar": "/static/avatars/Marina.Rubio/resized/240/foto Marina.59bee6915e54.jpg" }, "keywords": [ { "name": "Gender", "slug": "gender" } ], "regions": [ { "code": "GLO", "name": "Global" } ], "category": { "identifier": "Cross-cutting" }, "title": "Sex-disaggregated indicators for water assessment, monitoring and reporting", "abstract": "Prepared by the United Nations World Water Assessment Programme, the Report seeks to tackle information gap on water and gender, by exploring a series of indicators and methodologies on how to collect sex-disaggregated water data.", "attribution": null, "doi": "10.29104/WINS.D.0044.2018", "alternate": "", "bbox_polygon": { "type": "Polygon", "coordinates": [ [ [ -180.0, -90.0 ], [ -180.0, 90.0 ], [ 180.0, 90.0 ], [ 180.0, -90.0 ], [ -180.0, -90.0 ] ] ] }, "ll_bbox_polygon": { "type": "Polygon", "coordinates": [ [ [ -180.0, -90.0 ], [ -180.0, 90.0 ], [ 180.0, 90.0 ], [ 180.0, -90.0 ], [ -180.0, -90.0 ] ] ] }, "srid": "4326", "date": "2017-01-30T15:13:00Z", "date_type": "publication", "edition": "Seager, J. 2015. Sex-disaggregated indicators for water assessment monitoring and reporting. Technical Paper. Gender and Water Series. WWAP. Paris, UNESCO.", "purpose": "", "maintenance_frequency": null, "restriction_code_type": null, "constraints_other": "Unless otherwise specified, no restriction applies.", "license": { "identifier": "not_specified" }, "language": "eng", "spatial_representation_type": null, "temporal_extent_start": null, "temporal_extent_end": null, "supplemental_information": "No information provided", "data_quality_statement": "", "group": { "pk": 70, "name": "IHP-Theme2-Groundwater" }, "popular_count": "100", "share_count": "0", "rating": "0", "featured": false, "is_published": true, "is_approved": true, "detail_url": "/documents/318", "embed_url": "", "created": "2020-02-11T11:06:45.204622Z", "last_updated": "2021-03-25T17:24:23.673690Z", "raw_abstract": "Prepared by the United Nations World Water Assessment Programme, the Report seeks to tackle information gap on water and gender, by exploring a series of indicators and methodologies on how to collect sex-disaggregated water data.", "raw_purpose": "", "raw_constraints_other": "Unless otherwise specified, no restriction applies.", "raw_supplemental_information": "No information provided", "raw_data_quality_statement": "", "metadata_only": false, "thumbnail_url": "http://ihp-wins.unesco.org/static/thumbs/document-9d847180-e6fe-11e6-8719-005056bf7531-thumb.256b01f894c4.png" }, { "pk": "1258", "uuid": "24af8886-8f62-11e8-b4de-005056062634", "resource_type": "layer", "polymorphic_ctype_id": "51", "owner": { "pk": 1376, "username": "alberto.hernandez-salinas", "first_name": "Alberto", "last_name": "Hernandez-salinas", "avatar": "https://www.gravatar.com/avatar/481fee966b48de3f529c9645b2070dfa/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "poc": { "pk": 1376, "username": "alberto.hernandez-salinas", "first_name": "Alberto", "last_name": "Hernandez-salinas", "avatar": "https://www.gravatar.com/avatar/481fee966b48de3f529c9645b2070dfa/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "metadata_author": { "pk": 1376, "username": "alberto.hernandez-salinas", "first_name": "Alberto", "last_name": "Hernandez-salinas", "avatar": "https://www.gravatar.com/avatar/481fee966b48de3f529c9645b2070dfa/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "keywords": [ { "name": "Groundwater", "slug": "groundwater" } ], "regions": [ { "code": "CAM", "name": "Central America" }, { "code": "SLV", "name": "El Salvador" }, { "code": "GTM", "name": "Guatemala" }, { "code": "HND", "name": "Honduras" } ], "category": { "identifier": "Groundwater" }, "title": "Unidades hidrogeológicas de la Región Trifinio", "abstract": "Unidades hidrogeológicas de la Región Trifinio.\r\n\r\nInformación extraida de la publicación: \r\nCatálogo de Objetos Geográficos, Proyecto Gobernanza de las aguas subterráneas en los acuíferos transfronterizos (GGRETA por sus siglas en ingles). UNESCO-PHI, UICN, Agencia Suiza para el Desarrollo y la Cooperación COSUDE. Publicación: Septiembre 2014\r\n\r\nPara más información visite el Geoportal del Plan Trifinio: http://www.geoportaltrifinio.net/", "attribution": null, "doi": null, "alternate": "geonode:a__4505_Hidrologia_TRI_corregido02", "bbox_polygon": { "type": "Polygon", "coordinates": [ [ [ -89.8637098189232, 14.1144936276348 ], [ -89.8637098189232, 15.0941053033256 ], [ -88.71465978295, 15.0941053033256 ], [ -88.71465978295, 14.1144936276348 ], [ -89.8637098189232, 14.1144936276348 ] ] ] }, "ll_bbox_polygon": null, "srid": "EPSG:4326", "date": "2019-03-20T17:53:00Z", "date_type": "publication", "edition": "Comisión Trinacional del Plan Trifinio (CTPT), Sistema de Información Territorial (SIT)", "purpose": "", "maintenance_frequency": null, "restriction_code_type": null, "constraints_other": "Unless otherwise specified, no restriction applies.", "license": { "identifier": "not_specified" }, "language": "spa", "spatial_representation_type": null, "temporal_extent_start": null, "temporal_extent_end": null, "supplemental_information": "Auncune information fournie", "data_quality_statement": "", "group": { "pk": 93, "name": "GGRETA-OcotepequeCitala" }, "popular_count": "304", "share_count": "0", "rating": "0", "featured": false, "is_published": true, "is_approved": true, "detail_url": "/layers/geonode_ihp_data:geonode:a__4505_Hidrologia_TRI_corregido02", "embed_url": "/layers/geonode:a__4505_Hidrologia_TRI_corregido02/embed", "created": "2020-02-11T11:06:45.204622Z", "last_updated": "2021-02-19T14:30:12.809309Z", "raw_abstract": "Unidades hidrogeológicas de la Región Trifinio. Información extraida de la publicación: Catálogo de Objetos Geográficos, Proyecto Gobernanza de las aguas subterráneas en los acuíferos transfronterizos (GGRETA por sus siglas en ingles). UNESCO-PHI, UICN, Agencia Suiza para el Desarrollo y la Cooperación COSUDE. Publicación: Septiembre 2014 Para más información visite el Geoportal del Plan Trifinio: http://www.geoportaltrifinio.net/", "raw_purpose": "", "raw_constraints_other": "Unless otherwise specified, no restriction applies.", "raw_supplemental_information": "Auncune information fournie", "raw_data_quality_statement": "", "metadata_only": false, "thumbnail_url": "http://ihp-wins.unesco.org/uploaded/thumbs/layer-24af8886-8f62-11e8-b4de-005056062634-thumb.png?v=f09b7fc5" }, { "pk": "374", "uuid": "3b3a4dfe-f371-11e6-8719-005056bf7531", "resource_type": "layer", "polymorphic_ctype_id": "51", "owner": { "pk": 3, "username": "Tales.Carvalho-Resende", "first_name": "Tales", "last_name": "Carvalho Resende", "avatar": "/static/avatars/Tales.Carvalho-Resende/resized/240/Photo_TalesCarvalhoResende.2b1b88521f4c.jpg" }, "poc": { "pk": 3, "username": "Tales.Carvalho-Resende", "first_name": "Tales", "last_name": "Carvalho Resende", "avatar": "/static/avatars/Tales.Carvalho-Resende/resized/240/Photo_TalesCarvalhoResende.2b1b88521f4c.jpg" }, "metadata_author": { "pk": 3, "username": "Tales.Carvalho-Resende", "first_name": "Tales", "last_name": "Carvalho Resende", "avatar": "/static/avatars/Tales.Carvalho-Resende/resized/240/Photo_TalesCarvalhoResende.2b1b88521f4c.jpg" }, "keywords": [ { "name": "Agriculture", "slug": "agriculture" }, { "name": "Irrigation", "slug": "irrigation" }, { "name": "Surface water", "slug": "Surfacewater" } ], "regions": [ { "code": "GLO", "name": "Global" } ], "category": { "identifier": "Ecohydrology" }, "title": "Area equipped for irrigation with surface water", "abstract": "Area equipped for irrigation with surface water as percentage of area equipped for irrigation. The statistics with a reference year closest to year 2005 were selected for this version 5 of the Global Map of Irrigation Areas.\r\n\r\nFor mor information, visit: http://www.fao.org/nr/water/aquastat/irrigationmap/index10.stm", "attribution": null, "doi": null, "alternate": "geonode:gmia_v5_aeisw_pct_aei1", "bbox_polygon": { "type": "Polygon", "coordinates": [ [ [ -164.1666666666673, -55.416666666668036 ], [ -164.1666666666673, 70.49999999999359 ], [ 179.9999999999856, 70.49999999999359 ], [ 179.9999999999856, -55.416666666668036 ], [ -164.1666666666673, -55.416666666668036 ] ] ] }, "ll_bbox_polygon": null, "srid": "EPSG:4326", "date": "2017-01-28T23:00:00Z", "date_type": "publication", "edition": "Siebert S., Henrich V., Frenken K., Burke J (2013). Global Map of Irrigation Areas version 5. Rheinische Friedrich-Wilhelms-University, Bonn, Germany / Food and Agriculture Organization of the United Nations. Rome, Italy: FAO", "purpose": "", "maintenance_frequency": null, "restriction_code_type": null, "constraints_other": "Unless otherwise specified, no restriction applies.", "license": { "identifier": "not_specified" }, "language": "eng", "spatial_representation_type": null, "temporal_extent_start": null, "temporal_extent_end": null, "supplemental_information": "The Land and Water Division of the FAO and the Rheinische Friedrich-Wilhelms-Universität in Bonn, Germany, are cooperating in the development of a global irrigation mapping facility. The mandate of the FAO calls for the dissemination of global information on food and agriculture. Through its Division, it maintains an information system on water and agriculture and systematically collects, analyzes and disseminates this information.\r\n\r\nFor more information on version 5, read: https://www.lap.uni-bonn.de/research/downloads/gmia/siebert_et_al_2013_gmia5", "data_quality_statement": "/", "group": { "pk": 70, "name": "IHP-Theme2-Groundwater" }, "popular_count": "752", "share_count": "0", "rating": "0", "featured": false, "is_published": true, "is_approved": true, "detail_url": "/layers/gmia_v5_aeisw_pct_aei1:geonode:gmia_v5_aeisw_pct_aei1", "embed_url": "/layers/geonode:gmia_v5_aeisw_pct_aei1/embed", "created": "2020-02-11T11:06:45.204622Z", "last_updated": "2021-02-19T14:30:12.830052Z", "raw_abstract": "Area equipped for irrigation with surface water as percentage of area equipped for irrigation. The statistics with a reference year closest to year 2005 were selected for this version 5 of the Global Map of Irrigation Areas. For mor information, visit: http://www.fao.org/nr/water/aquastat/irrigationmap/index10.stm", "raw_purpose": "", "raw_constraints_other": "Unless otherwise specified, no restriction applies.", "raw_supplemental_information": "The Land and Water Division of the FAO and the Rheinische Friedrich-Wilhelms-Universität in Bonn, Germany, are cooperating in the development of a global irrigation mapping facility. The mandate of the FAO calls for the dissemination of global information on food and agriculture. Through its Division, it maintains an information system on water and agriculture and systematically collects, analyzes and disseminates this information. For more information on version 5, read: https://www.lap.uni-bonn.de/research/downloads/gmia/siebert_et_al_2013_gmia5", "raw_data_quality_statement": "/", "metadata_only": false, "thumbnail_url": "http://ihp-wins.unesco.org/uploaded/thumbs/layer-3b3a4dfe-f371-11e6-8719-005056bf7531-thumb.png?v=2a14a4fd" }, { "pk": "1393", "uuid": "a22ae892-612a-11e9-9915-005056062634", "resource_type": "layer", "polymorphic_ctype_id": "51", "owner": { "pk": 1376, "username": "alberto.hernandez-salinas", "first_name": "Alberto", "last_name": "Hernandez-salinas", "avatar": "https://www.gravatar.com/avatar/481fee966b48de3f529c9645b2070dfa/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "poc": { "pk": 1376, "username": "alberto.hernandez-salinas", "first_name": "Alberto", "last_name": "Hernandez-salinas", "avatar": "https://www.gravatar.com/avatar/481fee966b48de3f529c9645b2070dfa/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "metadata_author": { "pk": 1376, "username": "alberto.hernandez-salinas", "first_name": "Alberto", "last_name": "Hernandez-salinas", "avatar": "https://www.gravatar.com/avatar/481fee966b48de3f529c9645b2070dfa/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "keywords": [ { "name": "Human settlements", "slug": "Humansettlements" }, { "name": "Sanitation", "slug": "sanitation_1" }, { "name": "Waste", "slug": "Waste" } ], "regions": [ { "code": "SLV", "name": "El Salvador" }, { "code": "GTM", "name": "Guatemala" }, { "code": "HND", "name": "Honduras" } ], "category": { "identifier": "Groundwater" }, "title": "% de cobertura urbana de inmuebles con tratamiento de aguas servidas en la Región Trifinio", "abstract": "Porcentaje de inmuebles que evacuan sus aguas servidas a redes de alcantarillado dotadas con sistemas de tratamiento en el área urbana del municipio.\r\n\r\nvalor del ultimo año registrado (2010-2017)\r\n\r\nLa información es extraída del Sistema de Información Territorial Trinacional (SINTET) (http://sintet.net) que permite tener acceso a información pública de más de 54 municipios de la Región Trifinio, compartida por El Salvador, Guatemala y Honduras. Los indicadores de Gestión Territorial de la Región Trifinio buscan medir los impactos de las acciones llevadas a cabo por los programas y proyectos ejecutados por los gobiernos municipales, instituciones públicas, instituciones no gubernamentales, mancomunidades, asociaciones de municipios y organismos de cooperación internacional que interviene en la Región Trifinio de El Salvador, Guatemala y Honduras. Se tomaron en consideración los indicadores relacionados con el Capital Social, el Capital Físico y el Capital Natural a nivel municipal, cuando el municipio hace parte de la región Trifinio, definida por el proyecto GGRETA. \r\nSe tomó un valor que abarca el periodo de (2010 a 2017) (media, valor más elevado según los datos analizados). Para información más detallada anualmente visite el sitio: http://sintet.net.", "attribution": null, "doi": "None", "alternate": "geonode:a__2019_04_16_Fisico3", "bbox_polygon": { "type": "Polygon", "coordinates": [ [ [ -89.7128045991238, 14.12468265535215 ], [ -89.72283002613702, 14.944397883562212 ], [ -88.71781941071774, 14.954170849385129 ], [ -88.71148871496733, 14.133897389053772 ], [ -89.7128045991238, 14.12468265535215 ] ] ] }, "ll_bbox_polygon": null, "srid": "EPSG:4326", "date": "2019-11-15T17:13:00Z", "date_type": "publication", "edition": "Sistema de Información Territorial Trinacional (SINTET) (http://sintet.net)", "purpose": "", "maintenance_frequency": null, "restriction_code_type": null, "constraints_other": "Unless otherwise specified, no restriction applies.", "license": { "identifier": "not_specified" }, "language": "spa", "spatial_representation_type": null, "temporal_extent_start": "2010-01-01T17:07:00Z", "temporal_extent_end": "2017-12-31T17:07:00Z", "supplemental_information": "Auncune information fournie", "data_quality_statement": "", "group": { "pk": 93, "name": "GGRETA-OcotepequeCitala" }, "popular_count": "48", "share_count": "0", "rating": "0", "featured": false, "is_published": true, "is_approved": true, "detail_url": "/layers/geonode_ihp_data:geonode:a__2019_04_16_Fisico3", "embed_url": "/layers/geonode:a__2019_04_16_Fisico3/embed", "created": "2020-02-11T11:06:45.204622Z", "last_updated": "2021-02-19T14:30:12.603229Z", "raw_abstract": "Porcentaje de inmuebles que evacuan sus aguas servidas a redes de alcantarillado dotadas con sistemas de tratamiento en el área urbana del municipio. valor del ultimo año registrado (2010-2017) La información es extraída del Sistema de Información Territorial Trinacional (SINTET) (http://sintet.net) que permite tener acceso a información pública de más de 54 municipios de la Región Trifinio, compartida por El Salvador, Guatemala y Honduras. Los indicadores de Gestión Territorial de la Región Trifinio buscan medir los impactos de las acciones llevadas a cabo por los programas y proyectos ejecutados por los gobiernos municipales, instituciones públicas, instituciones no gubernamentales, mancomunidades, asociaciones de municipios y organismos de cooperación internacional que interviene en la Región Trifinio de El Salvador, Guatemala y Honduras. Se tomaron en consideración los indicadores relacionados con el Capital Social, el Capital Físico y el Capital Natural a nivel municipal, cuando el municipio hace parte de la región Trifinio, definida por el proyecto GGRETA. Se tomó un valor que abarca el periodo de (2010 a 2017) (media, valor más elevado según los datos analizados). Para información más detallada anualmente visite el sitio: http://sintet.net.", "raw_purpose": "", "raw_constraints_other": "Unless otherwise specified, no restriction applies.", "raw_supplemental_information": "Auncune information fournie", "raw_data_quality_statement": "", "metadata_only": false, "thumbnail_url": "http://ihp-wins.unesco.org/uploaded/thumbs/layer-a22ae892-612a-11e9-9915-005056062634-thumb.png?v=a0fa2956" }, { "pk": "241", "uuid": "87622a6a-e621-11e6-8719-005056bf7531", "resource_type": "layer", "polymorphic_ctype_id": "51", "owner": { "pk": 3, "username": "Tales.Carvalho-Resende", "first_name": "Tales", "last_name": "Carvalho Resende", "avatar": "/static/avatars/Tales.Carvalho-Resende/resized/240/Photo_TalesCarvalhoResende.2b1b88521f4c.jpg" }, "poc": { "pk": 3, "username": "Tales.Carvalho-Resende", "first_name": "Tales", "last_name": "Carvalho Resende", "avatar": "/static/avatars/Tales.Carvalho-Resende/resized/240/Photo_TalesCarvalhoResende.2b1b88521f4c.jpg" }, "metadata_author": { "pk": 3, "username": "Tales.Carvalho-Resende", "first_name": "Tales", "last_name": "Carvalho Resende", "avatar": "/static/avatars/Tales.Carvalho-Resende/resized/240/Photo_TalesCarvalhoResende.2b1b88521f4c.jpg" }, "keywords": [ { "name": "Groundwater", "slug": "groundwater" }, { "name": "Quality", "slug": "Quality" }, { "name": "Transboundary", "slug": "transboundary" } ], "regions": [ { "code": "SLV", "name": "El Salvador" }, { "code": "HND", "name": "Honduras" } ], "category": { "identifier": "Groundwater" }, "title": "Total Dissolved Solids (TDS) in the Ocotepeque-Citala Aquifer (Rainy season)", "abstract": "This map provides information on Total Dissolved Solids (TDS) in mg/L in the Ocotepeque-Citala Aquifer in rainy season (July). ", "attribution": null, "doi": null, "alternate": "geonode:ocotepeque_citala_tds_rainyseason", "bbox_polygon": { "type": "Polygon", "coordinates": [ [ [ -89.30340659, 14.27296542 ], [ -89.30340659, 14.54075203 ], [ -89.08798283, 14.54075203 ], [ -89.08798283, 14.27296542 ], [ -89.30340659, 14.27296542 ] ] ] }, "ll_bbox_polygon": null, "srid": "EPSG:4326", "date": "2017-01-28T23:00:00Z", "date_type": "publication", "edition": "UNESCO-IHP, 2016", "purpose": "", "maintenance_frequency": null, "restriction_code_type": null, "constraints_other": "Unless otherwise specified, the Creative Commons License applies.", "license": { "identifier": "not_specified" }, "language": "eng", "spatial_representation_type": null, "temporal_extent_start": null, "temporal_extent_end": null, "supplemental_information": "Data was collected within the framework of the Governance of Groundwater Resources in Transboundary Aquifers (GGRETA) project funded by the Swiss Agency for Development and Cooperation (SDC) and executed by UNESCO-IHP.", "data_quality_statement": "/", "group": { "pk": 70, "name": "IHP-Theme2-Groundwater" }, "popular_count": "137", "share_count": "0", "rating": "0", "featured": false, "is_published": true, "is_approved": true, "detail_url": "/layers/ocotepeque_citala_tds_rainyseason:geonode:ocotepeque_citala_tds_rainyseason", "embed_url": "/layers/geonode:ocotepeque_citala_tds_rainyseason/embed", "created": "2020-02-11T11:06:45.204622Z", "last_updated": "2021-02-19T14:30:13.452950Z", "raw_abstract": "This map provides information on Total Dissolved Solids (TDS) in mg/L in the Ocotepeque-Citala Aquifer in rainy season (July).", "raw_purpose": "", "raw_constraints_other": "Unless otherwise specified, the Creative Commons License applies.", "raw_supplemental_information": "Data was collected within the framework of the Governance of Groundwater Resources in Transboundary Aquifers (GGRETA) project funded by the Swiss Agency for Development and Cooperation (SDC) and executed by UNESCO-IHP.", "raw_data_quality_statement": "/", "metadata_only": false, "thumbnail_url": "http://ihp-wins.unesco.org/uploaded/thumbs/layer-87622a6a-e621-11e6-8719-005056bf7531-thumb.png?v=8debc904" }, { "pk": "315", "uuid": "d40815ae-e6f9-11e6-8719-005056bf7531", "resource_type": "layer", "polymorphic_ctype_id": "51", "owner": { "pk": 7, "username": "Chloe.Meyer", "first_name": "Chloé", "last_name": "Meyer", "avatar": "/static/avatars/Chloe.Meyer/resized/240/me.21dd52a4aac3.jpg" }, "poc": { "pk": 7, "username": "Chloe.Meyer", "first_name": "Chloé", "last_name": "Meyer", "avatar": "/static/avatars/Chloe.Meyer/resized/240/me.21dd52a4aac3.jpg" }, "metadata_author": { "pk": 7, "username": "Chloe.Meyer", "first_name": "Chloé", "last_name": "Meyer", "avatar": "/static/avatars/Chloe.Meyer/resized/240/me.21dd52a4aac3.jpg" }, "keywords": [ { "name": "Depletion", "slug": "depletion" }, { "name": "Groundwater", "slug": "groundwater" }, { "name": "Stress", "slug": "Stress" } ], "regions": [ { "code": "GLO", "name": "Global" } ], "category": { "identifier": "Groundwater" }, "title": "Global groundwater stress (1958-2000)", "abstract": "Groundwater stress measures the ratio of groundwater withdrawal relative to its recharge rate over a given aquifer. Values above one indicate where unsustainable groundwater consumption could affect groundwater availability and groundwater-dependent ecosystems.", "attribution": null, "doi": null, "alternate": "geonode:aqueduct_global_groundwater_stress", "bbox_polygon": { "type": "Polygon", "coordinates": [ [ [ -179.99900834271713, -55.907841860778376 ], [ -179.99900834271713, 83.63432689118486 ], [ 179.99999999986983, 83.63432689118486 ], [ 179.99999999986983, -55.907841860778376 ], [ -179.99900834271713, -55.907841860778376 ] ] ] }, "ll_bbox_polygon": null, "srid": "EPSG:4326", "date": "2017-01-29T23:00:00Z", "date_type": "publication", "edition": "Gassert, F., M. Landis, M. Luck, P. Reig, and T. Shiao. 2014. “Aqueduct Global Maps 2.1.” Working Paper. Washington, DC: World Resources Institute. Retrieve from www.wri.org/publication/aqueduct-metadata-global.", "purpose": "", "maintenance_frequency": null, "restriction_code_type": null, "constraints_other": "Unless otherwise specified, no restriction applies.", "license": { "identifier": "not_specified" }, "language": "eng", "spatial_representation_type": null, "temporal_extent_start": null, "temporal_extent_end": null, "supplemental_information": "The Aqueduct Water Risk Atlas makes use of a framework of 12 global indicators grouped into three categories of risk and one overall score. Aqueduct Global Maps 2.1 include indicators of water quantity, water variability, water quality, public awareness of water issues, access to water, and ecosystem vulnerability.\r\n\r\nFor more information, visit: www.wri.org/publication/aqueduct-global-maps-21", "data_quality_statement": "/", "group": { "pk": 74, "name": "IHP-Theme6-Water-education" }, "popular_count": "1226", "share_count": "0", "rating": "0", "featured": false, "is_published": true, "is_approved": true, "detail_url": "/layers/aqueduct_global_groundwater_stress:geonode:aqueduct_global_groundwater_stress", "embed_url": "/layers/geonode:aqueduct_global_groundwater_stress/embed", "created": "2020-02-11T11:06:45.204622Z", "last_updated": "2021-02-19T14:30:12.331475Z", "raw_abstract": "Groundwater stress measures the ratio of groundwater withdrawal relative to its recharge rate over a given aquifer. Values above one indicate where unsustainable groundwater consumption could affect groundwater availability and groundwater-dependent ecosystems.", "raw_purpose": "", "raw_constraints_other": "Unless otherwise specified, no restriction applies.", "raw_supplemental_information": "The Aqueduct Water Risk Atlas makes use of a framework of 12 global indicators grouped into three categories of risk and one overall score. Aqueduct Global Maps 2.1 include indicators of water quantity, water variability, water quality, public awareness of water issues, access to water, and ecosystem vulnerability. For more information, visit: www.wri.org/publication/aqueduct-global-maps-21", "raw_data_quality_statement": "/", "metadata_only": false, "thumbnail_url": "http://ihp-wins.unesco.org/uploaded/thumbs/layer-d40815ae-e6f9-11e6-8719-005056bf7531-thumb.png?v=53f67b56" } ] }
