| c |
<flask.g of 'ckan.config.middleware.flask_app'> |
| current_resource_view |
None |
| dataset_type |
'metadata-form' |
| g |
<flask.g of 'ckan.config.middleware.flask_app'> |
| h |
{'redirect_to': <function redirect_to at 0x7fd4850ee5e0>, 'url': <function url at 0x7fd4850ee700>, 'get_site_protocol_and_host': <function get_site_protocol_and_host at 0x7fd4850ee670>, 'url_for': <function url_for at 0x7fd4850ee8b0>, 'url_for_static': <function url_for_static at 0x7fd4850eea60>, 'url_for_static_or_external': <function url_for_static_or_external at 0x7fd4850eeaf0>, 'is_url': <function is_url at 0x7fd4850eeb80>, 'url_is_local': <function url_is_local at 0x7fd4850eeca0>, 'full_current_url': <function full_current_url at 0x7fd4850eed30>, 'current_url': <function current_url at 0x7fd4850eedc0>, 'lang': <function lang at 0x7fd4850eee50>, 'ckan_version': <function ckan_version at 0x7fd4850eeee0>, 'lang_native_name': <function lang_native_name at 0x7fd4850eef70>, 'is_rtl_language': <function is_rtl_language at 0x7fd4850ef040>, 'get_rtl_css': <function get_rtl_css at 0x7fd4850ef0d0>, 'flash_notice': <function flash_notice at 0x7fd4850ef160>, 'flash_error': <function flash_error at 0x7fd4850ef5e0>, 'flash_success': <function flash_success at 0x7fd4850ef670>, 'are_there_flash_messages': <function are_there_flash_messages at 0x7fd4850ef700>, 'link_to': <function link_to at 0x7fd4850efb80>, 'file': <function file at 0x7fd4850efc10>, 'submit': <function submit at 0x7fd4850efca0>, 'nav_link': <function nav_link at 0x7fd4850efd30>, 'wrapped': <function deprecated.<locals>.decorator.<locals>.wrapped at 0x7fd485070ca0>, 'build_nav_main': <function build_nav_main at 0x7fd4850efee0>, 'build_nav_icon': <function build_nav_icon at 0x7fd485070310>, 'build_nav': <function build_nav at 0x7fd4850703a0>, 'build_extra_admin_nav': <function build_extra_admin_nav at 0x7fd4850704c0>, 'default_group_type': <function default_group_type at 0x7fd4850705e0>, 'get_facet_items_dict': <function get_facet_items_dict at 0x7fd485070670>, 'has_more_facets': <function has_more_facets at 0x7fd485070700>, 'unselected_facet_items': <function unselected_facet_items at 0x7fd485070790>, 'get_param_int': <function get_param_int at 0x7fd485070820>, 'sorted_extras': <function sorted_extras at 0x7fd485070a60>, 'check_access': <function check_access at 0x7fd485070af0>, 'linked_user': <function linked_user at 0x7fd485070b80>, 'group_name_to_title': <function group_name_to_title at 0x7fd485070d30>, 'truncate': <function truncate at 0x7fd485070dc0>, 'markdown_extract': <function markdown_extract at 0x7fd485070e50>, 'icon_url': <function icon_url at 0x7fd485070ee0>, 'icon_html': <function icon_html at 0x7fd485070f70>, 'icon': <function icon at 0x7fd485071040>, 'resource_icon': <function resource_icon at 0x7fd4850710d0>, 'format_icon': <function format_icon at 0x7fd485071160>, 'dict_list_reduce': <function dict_list_reduce at 0x7fd4850711f0>, 'gravatar': <function gravatar at 0x7fd485071280>, 'sanitize_url': <function sanitize_url at 0x7fd485071310>, 'user_image': <function user_image at 0x7fd4850713a0>, 'pager_url': <function pager_url at 0x7fd485071430>, 'get_page_number': <function get_page_number at 0x7fd4850714c0>, 'get_display_timezone': <function get_display_timezone at 0x7fd485071550>, 'render_datetime': <function render_datetime at 0x7fd4850715e0>, 'date_str_to_datetime': <function date_str_to_datetime at 0x7fd485071670>, 'parse_rfc_2822_date': <function parse_rfc_2822_date at 0x7fd485071700>, 'time_ago_from_timestamp': <function time_ago_from_timestamp at 0x7fd485071790>, 'button_attr': <function button_attr at 0x7fd485071a60>, 'dataset_display_name': <function dataset_display_name at 0x7fd485071af0>, 'dataset_link': <function dataset_link at 0x7fd485071b80>, 'resource_display_name': <function resource_display_name at 0x7fd485071c10>, 'resource_link': <function resource_link at 0x7fd485071ca0>, 'tag_link': <function tag_link at 0x7fd485071d30>, 'group_link': <function group_link at 0x7fd485071dc0>, 'organization_link': <function organization_link at 0x7fd485071e50>, 'dump_json': <function dump_json at 0x7fd485071ee0>, 'auto_log_message': <function auto_log_message at 0x7fd485071f70>, 'activity_div': <function activity_div at 0x7fd485073040>, 'snippet': <function snippet at 0x7fd4850730d0>, 'convert_to_dict': <function convert_to_dict at 0x7fd485073160>, 'follow_button': <function follow_button at 0x7fd4850731f0>, 'follow_count': <function follow_count at 0x7fd485073280>, 'add_url_param': <function add_url_param at 0x7fd4850733a0>, 'remove_url_param': <function remove_url_param at 0x7fd485073430>, 'include_resource': <function include_resource at 0x7fd4850734c0>, 'urls_for_resource': <function urls_for_resource at 0x7fd485073550>, 'debug_inspect': <function debug_inspect at 0x7fd4850735e0>, 'popular': <function popular at 0x7fd485073670>, 'groups_available': <function groups_available at 0x7fd485073700>, 'organizations_available': <function organizations_available at 0x7fd485073790>, 'roles_translated': <function roles_translated at 0x7fd485073820>, 'user_in_org_or_group': <function user_in_org_or_group at 0x7fd4850738b0>, 'dashboard_activity_stream': <function dashboard_activity_stream at 0x7fd485073940>, 'recently_changed_packages_activity_stream': <function recently_changed_packages_activity_stream at 0x7fd4850739d0>, 'escape_js': <function escape_js at 0x7fd485073a60>, 'get_pkg_dict_extra': <function get_pkg_dict_extra at 0x7fd485073af0>, 'get_request_param': <function get_request_param at 0x7fd485073b80>, 'html_auto_link': <function html_auto_link at 0x7fd485073c10>, 'render_markdown': <function render_markdown at 0x7fd485073ca0>, 'format_resource_items': <function format_resource_items at 0x7fd485073d30>, 'resource_preview': <function resource_preview at 0x7fd485073dc0>, 'get_allowed_view_types': <function get_allowed_view_types at 0x7fd485073e50>, 'rendered_resource_view': <function rendered_resource_view at 0x7fd485073ee0>, 'view_resource_url': <function view_resource_url at 0x7fd485073f70>, 'resource_view_is_filterable': <function resource_view_is_filterable at 0x7fd485075040>, 'resource_view_get_fields': <function resource_view_get_fields at 0x7fd4850750d0>, 'resource_view_is_iframed': <function resource_view_is_iframed at 0x7fd485075160>, 'resource_view_icon': <function resource_view_icon at 0x7fd4850751f0>, 'resource_view_display_preview': <function resource_view_display_preview at 0x7fd485075280>, 'resource_view_full_page': <function resource_view_full_page at 0x7fd485075310>, 'remove_linebreaks': <function remove_linebreaks at 0x7fd4850753a0>, 'list_dict_filter': <function list_dict_filter at 0x7fd485075430>, 'SI_number_span': <function SI_number_span at 0x7fd4850754c0>, 'new_activities': <function new_activities at 0x7fd485075550>, 'uploads_enabled': <function uploads_enabled at 0x7fd4850755e0>, 'get_featured_organizations': <function get_featured_organizations at 0x7fd485075670>, 'get_featured_groups': <function get_featured_groups at 0x7fd485075700>, 'featured_group_org': <function featured_group_org at 0x7fd485075790>, 'get_site_statistics': <function get_site_statistics at 0x7fd485075820>, 'resource_formats': <function resource_formats at 0x7fd4850758b0>, 'unified_resource_format': <function unified_resource_format at 0x7fd485075940>, 'check_config_permission': <function check_config_permission at 0x7fd4850759d0>, 'get_organization': <function get_organization at 0x7fd485075a60>, 'license_options': <function license_options at 0x7fd485075af0>, 'get_translated': <function get_translated at 0x7fd485075b80>, 'facets': <function facets at 0x7fd485075c10>, 'mail_to': <function mail_to at 0x7fd485075ca0>, 'radio': <function radio at 0x7fd485075d30>, 'clean_html': <function clean_html at 0x7fd485075dc0>, 'flash': <ckan.lib.helpers._Flash object at 0x7fd485202eb0>, 'localised_number': <function localised_number at 0x7fd4851d8c10>, 'localised_SI_number': <function localised_SI_number at 0x7fd4851d8d30>, 'localised_nice_date': <function localised_nice_date at 0x7fd4851d8b80>, 'localised_filesize': <function localised_filesize at 0x7fd4851d8ca0>, 'get_available_locales': <function get_available_locales at 0x7fd48648cca0>, 'get_locales_dict': <function get_locales_dict at 0x7fd48648cc10>, 'literal': <class 'ckan.lib.helpers.literal'>, 'asbool': <function asbool at 0x7fd486b11a60>, 'urlencode': <function urlencode at 0x7fd487b4fa60>, 'include_asset': <function include_asset at 0x7fd4850ee0d0>, 'render_assets': <function render_assets at 0x7fd4850ee1f0>, 'sanitize_id': <function sanitize_id at 0x7fd485075ee0>, 'compare_pkg_dicts': <function compare_pkg_dicts at 0x7fd485075f70>, 'activity_list_select': <function activity_list_select at 0x7fd485076040>, 'get_collaborators': <function get_collaborators at 0x7fd4850760d0>, 'can_update_owner_org': <function can_update_owner_org at 0x7fd485076160>, 'parse_cloud_tabular_data': <function parse_cloud_tabular_data at 0x7fd4749ae310>, 'get_data': <function make_query at 0x7fd46f958790>, 'get_spatial_data': <function make_spatial_query at 0x7fd46ca150d0>, 'get_reference_date': <function get_reference_date at 0x7fd46c5855e0>, 'get_responsible_party': <function get_responsible_party at 0x7fd46c585670>, 'get_common_map_config': <function get_common_map_config at 0x7fd46c585700>, 'package_list_for_source': <function package_list_for_source at 0x7fd46c5859d0>, 'package_count_for_source': <function package_count_for_source at 0x7fd46c585a60>, 'harvesters_info': <function harvesters_info at 0x7fd46c585af0>, 'harvester_types': <function harvester_types at 0x7fd46c585b80>, 'harvest_frequencies': <function harvest_frequencies at 0x7fd46c585c10>, 'link_for_harvest_object': <function link_for_harvest_object at 0x7fd46c585ca0>, 'harvest_source_extra_fields': <function harvest_source_extra_fields at 0x7fd46c585d30>, 'bootstrap_version': <function bootstrap_version at 0x7fd46c585dc0>, 'get_harvest_source': <function get_harvest_source at 0x7fd46c585820>, 'get_bigquery_table_name': <function get_bigquery_table_name at 0x7fd4749ae0d0>, 'get_package_name': <function get_package_name at 0x7fd4749ae160>, 'convert_geojson_to_bbox': <function convert_geojson_to_bbox at 0x7fd474995ca0>, 'get_default_bounding_box': <function get_default_bounding_box at 0x7fd4765d54c0>, 'resource_read_helper': <function resource_read_helper at 0x7fd4749ae1f0>, 'get_package_count': <function get_packages_count at 0x7fd4749ae4c0>, 'get_org_count': <function get_organizations_count at 0x7fd4749ae550>, 'get_default_spatial_search_extent': <function get_default_spatial_search_extent at 0x7fd48366a3a0>, 'scheming_language_text': <function scheming_language_text at 0x7fd4748beca0>, 'scheming_field_choices': <function scheming_field_choices at 0x7fd4748beee0>, 'scheming_choices_label': <function scheming_choices_label at 0x7fd4748bef70>, 'scheming_datastore_choices': <function scheming_datastore_choices at 0x7fd474845040>, 'scheming_field_required': <function scheming_field_required at 0x7fd4748450d0>, 'scheming_dataset_schemas': <function scheming_dataset_schemas at 0x7fd474845160>, 'scheming_get_presets': <function scheming_get_presets at 0x7fd4748451f0>, 'scheming_get_preset': <function scheming_get_preset at 0x7fd474845280>, 'scheming_get_dataset_schema': <function scheming_get_dataset_schema at 0x7fd474845310>, 'scheming_group_schemas': <function scheming_group_schemas at 0x7fd4748453a0>, 'scheming_get_group_schema': <function scheming_get_group_schema at 0x7fd474845430>, 'scheming_organization_schemas': <function scheming_organization_schemas at 0x7fd4748454c0>, 'scheming_get_organization_schema': <function scheming_get_organization_schema at 0x7fd474845550>, 'scheming_get_schema': <function scheming_get_schema at 0x7fd4748455e0>, 'scheming_field_by_name': <function scheming_field_by_name at 0x7fd474845670>, 'scheming_datetime_to_utc': <function scheming_datetime_to_utc at 0x7fd474845790>, 'scheming_datetime_to_tz': <function scheming_datetime_to_tz at 0x7fd474845820>, 'scheming_get_timezones': <function scheming_get_timezones at 0x7fd4748458b0>, 'scheming_display_json_value': <function scheming_display_json_value at 0x7fd474845940>, 'scheming_render_from_string': <function scheming_render_from_string at 0x7fd4748459d0>, 'scheming_flatten_subfield': <function scheming_flatten_subfield at 0x7fd474845a60>, 'datastore_dictionary': <function datastore_dictionary at 0x7fd474923ca0>, 'get_map_config': <function get_mapview_config at 0x7fd4749c1430>, 'get_dataproxy_url': <function get_dataproxy_url at 0x7fd4749c14c0>} |
| is_activity_archive |
True |
| package |
{'agreement': 'true', 'alternative_identifier': '', 'author': None, 'author_email': None, 'creator_user_id': '994bdae6-cbc9-47f5-bd04-27672cfa8648', 'data_classification': 'static', 'data_collection_organization': '', 'data_structure_category': 'structured', 'dataset_language': 'English', 'dataset_license_url': '', 'did_author_or_contact_organization_collect_the_data': 'true', 'email': 'vanderlaanm@arc.agric.za', 'id': '9c187888-4ccc-4f96-aaa7-29b88dde40d1', 'isopen': False, 'keywords': 'HAMSA, SWAT, HAWQS, land cover, 2013, 2018, 2020', 'license': 'Open (Creative Commons)', 'license_id': None, 'license_title': None, 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2022-08-24T11:59:33.692074', 'metadata_modified': '2022-10-04T07:26:04.559151', 'name': 'a-south-african-national-input-database-to-run-the-swat-model-in-a-gis-land-cover-maps', 'notes': 'This WRC Funded Study Collated Multiple Geo-Spatial Datasets At A National Scale And Interpreted/Formatted The Data For Use As Baseline Input To Run The Soil And Water Assessment Tool (SWAT) In Any Catchment In SA. ArcSWAT Is A Graphical User Interface For SWAT And ArcGIS® Software Extension, Streamlining Access To Key Databases And Facilitating The Preparation Of Input Datasets. These Layers Can Also Be Used In QGIS And QSWAT.', 'num_resources': 5, 'num_tags': 0, 'organization': {'id': 'ed7b716c-553d-482f-a842-475df0d010b5', 'name': 'university-of-the-free-state', 'title': 'University of the Free State', 'type': 'organization', 'description': 'The University of the Free State (UFS) creates opportunities and growth through leading learning and teaching, focused research, and impactful engagement with society. Situated in the heart of South Africa, our character of caring and diversity translates into an outstanding university experience.', 'image_url': '2022-05-27-073611.52998420220527UFSlogo.JPG', 'created': '2022-05-27T07:36:11.550754', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'ed7b716c-553d-482f-a842-475df0d010b5', 'private': False, 'publication_date': '2022-02-01', 'publisher': 'Water Research Commission', 'spatial': '{"type": "Polygon", "coordinates": [[[16.4699, -22.1265], [32.8931, -22.1265], [32.8931, -34.8212], [16.4699, -34.8212], [16.4699, -22.1265]]]}', 'state': 'active', 'title': 'A SOUTH AFRICAN NATIONAL INPUT DATABASE TO RUN THE SWAT MODEL IN A GIS (land cover maps)', 'type': 'metadata-form', 'uploader_estimation_of_extent_of_processing': 'access', 'url': None, 'version': None, 'vertical_extent_datum': 'masl', 'wrc_project_number': 'WRC Project C2019-2020-00089', 'wro_theme': 'hydrological_data_and_modelling', 'authors': [{'author_department': 'Department of Geography', 'author_email': 'LeRouxJJ@ufs.ac.za', 'author_name': 'Jay', 'author_surname': 'le Roux', 'contact_same_as_author': 'true'}], 'contact_person': [{'contact_department': '', 'contact_email': '', 'contact_name': '', 'contact_orgnization': ''}], 'data_reference_date': [{'data_reference_date_from': '', 'data_reference_date_to': ''}], 'extras': [{'key': 'cloud_path', 'value': 'hydrological_data_and_modelling/structured/access/static'}, {'key': 'recommended_citation', 'value': 'Le Roux J, Mararakanye N, Mudaly L, Harold W, Van Der Laan M (2022) Development Of A South African National Input Database To Run The SWAT Model In A GIS. WRC Project C2019-2020-00089, Pretoria, South Africa.'}], 'minimum_maximum_extent': [{'maximum_vertical_extent': '50', 'minimum_vertical_extent': '50'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'cloud_path': 'Hydrological_Data_And_Modelling/Structured/Access/Static', 'created': '2022-08-24T12:08:04.814085', 'dataset_description': 'National land cover map for South Africa for 2013 and SWAT codes.', 'datastore_active': False, 'description': None, 'file_to_bigquery_table': False, 'format': 'ZIP', 'hash': '', 'id': '646b889f-af3d-4cc4-b25f-d23e9fdc57b5', 'is_bigquery_table': False, 'is_data_supplementary': False, 'is_link': False, 'last_modified': None, 'metadata_modified': '2022-10-04T07:26:04.565718', 'mimetype': None, 'mimetype_inner': None, 'name': 'NLC2013_SWAT.zip', 'package_id': '9c187888-4ccc-4f96-aaa7-29b88dde40d1', 'position': 0, 'resource_name': 'National land cover 2013', 'resource_type': None, 'size': None, 'state': 'active', 'url': 'https://storage.cloud.google.com/wrc_wro_datasets/Hydrological_Data_And_Modelling/Structured/Access/Static/a-south-african-national-input-database-to-run-the-swat-model-in-a-gis-land-cover-maps/nlc2013_swat_id_646b889f-af3d-4cc4-b25f-d23e9fdc57b5.zip', 'url_type': 'link'}, {'cache_last_updated': None, 'cache_url': None, 'cloud_path': 'Hydrological_Data_And_Modelling/Structured/Access/Static', 'created': '2022-08-24T12:56:37.483786', 'dataset_description': 'National land cover map for South Africa for 2020 and SWAT codes. Prepared after the completion of the original project by Mr Harold Weepener at the ARC.', 'datastore_active': False, 'description': None, 'file_to_bigquery_table': False, 'format': 'ZIP', 'hash': '', 'id': '8fc37807-58a3-48dc-b51d-f9dd5a4e8e09', 'is_bigquery_table': False, 'is_data_supplementary': False, 'is_link': False, 'last_modified': None, 'metadata_modified': '2022-10-04T07:26:04.566013', 'mimetype': None, 'mimetype_inner': None, 'name': 'NLC2020_SWAT.zip', 'package_id': '9c187888-4ccc-4f96-aaa7-29b88dde40d1', 'position': 1, 'resource_name': 'National land cover 2020', 'resource_type': None, 'size': None, 'state': 'active', 'url': 'https://storage.cloud.google.com/wrc_wro_datasets/Hydrological_Data_And_Modelling/Structured/Access/Static/a-south-african-national-input-database-to-run-the-swat-model-in-a-gis-land-cover-maps/nlc2020_swat_id_8fc37807-58a3-48dc-b51d-f9dd5a4e8e09.zip', 'url_type': 'link', 'has_views': False}, {'cache_last_updated': None, 'cache_url': None, 'cloud_path': 'Hydrological_Data_And_Modelling/Structured/Access/Static', 'created': '2022-08-24T13:01:38.778500', 'dataset_description': 'National land cover map for South Africa for 2018 and SWAT codes.', 'datastore_active': False, 'description': None, 'file_to_bigquery_table': False, 'format': 'ZIP', 'hash': '', 'id': '0f3ea5f6-83b6-4b89-9aff-03bec5c1b621', 'is_bigquery_table': False, 'is_data_supplementary': False, 'is_link': False, 'last_modified': None, 'metadata_modified': '2022-10-04T07:26:04.566269', 'mimetype': None, 'mimetype_inner': None, 'name': 'NLC2018_SWAT.zip', 'package_id': '9c187888-4ccc-4f96-aaa7-29b88dde40d1', 'position': 2, 'resource_name': 'National land cover 2018', 'resource_type': None, 'size': None, 'state': 'active', 'url': 'https://storage.cloud.google.com/wrc_wro_datasets/Hydrological_Data_And_Modelling/Structured/Access/Static/a-south-african-national-input-database-to-run-the-swat-model-in-a-gis-land-cover-maps/nlc2018_swat_id_0f3ea5f6-83b6-4b89-9aff-03bec5c1b621.zip', 'url_type': 'link'}, {'cache_last_updated': None, 'cache_url': None, 'cloud_path': 'Hydrological_Data_And_Modelling/Structured/Access/Static', 'created': '2022-08-24T13:08:00.815110', 'dataset_description': 'National land cover 2013 codes for SWAT\r\nSWAT codes for the 2013 land cover map', 'datastore_active': False, 'description': None, 'file_to_bigquery_table': False, 'format': 'TXT', 'hash': '', 'id': 'dc53945e-cf2b-4ebf-bb28-e8d1a43f8f5b', 'is_bigquery_table': False, 'is_data_supplementary': False, 'is_link': False, 'last_modified': None, 'metadata_modified': '2022-10-04T07:26:04.566531', 'mimetype': None, 'mimetype_inner': None, 'name': 'LU_landcover2018.txt', 'package_id': '9c187888-4ccc-4f96-aaa7-29b88dde40d1', 'position': 3, 'resource_name': 'National land cover 2013 codes for SWAT', 'resource_type': None, 'size': None, 'state': 'active', 'url': 'https://storage.cloud.google.com/wrc_wro_datasets/Hydrological_Data_And_Modelling/Structured/Access/Static/a-south-african-national-input-database-to-run-the-swat-model-in-a-gis-land-cover-maps/lu_landcover2018_id_dc53945e-cf2b-4ebf-bb28-e8d1a43f8f5b.txt', 'url_type': 'link'}, {'cache_last_updated': None, 'cache_url': None, 'cloud_path': 'Hydrological_Data_And_Modelling/Structured/Access/Static', 'created': '2022-08-24T13:08:36.330868', 'dataset_description': '\r\nSWAT codes for the 2020 land cover map', 'datastore_active': False, 'description': None, 'file_to_bigquery_table': False, 'format': 'TXT', 'hash': '', 'id': 'e2d5c746-20a3-4f2e-90bd-b8d5288005e4', 'is_bigquery_table': False, 'is_data_supplementary': False, 'is_link': False, 'last_modified': None, 'metadata_modified': '2022-10-04T07:26:04.566780', 'mimetype': None, 'mimetype_inner': None, 'name': 'LU_landcover2020.txt', 'package_id': '9c187888-4ccc-4f96-aaa7-29b88dde40d1', 'position': 4, 'resource_name': 'National land cover 2020 codes for SWAT', 'resource_type': None, 'size': None, 'state': 'active', 'url': 'https://storage.cloud.google.com/wrc_wro_datasets/Hydrological_Data_And_Modelling/Structured/Access/Static/a-south-african-national-input-database-to-run-the-swat-model-in-a-gis-land-cover-maps/lu_landcover2020_id_e2d5c746-20a3-4f2e-90bd-b8d5288005e4.txt', 'url_type': 'link'}], 'tags': [], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []} |
| pkg |
<Package id=9c187888-4ccc-4f96-aaa7-29b88dde40d1 name=a-south-african-national-input-database-to-run-the-swat-model-in-a-gis-land-cover-maps title=A South African national input database to run the SWAT model in a GIS (land cover maps) version=None url=None author=None author_email=None maintainer=None maintainer_email=None notes=This WRC Funded Study Collated Multiple Geo-Spatial Datasets At A National Scale And Interpreted/Formatted The Data For Use As Baseline Input To Run The Soil And Water Assessment Tool (SWAT) In Any Catchment In SA. ArcSWAT Is A Graphical User Interface For SWAT And ArcGIS® Software Extension, Streamlining Access To Key Databases And Facilitating The Preparation Of Input Datasets. These Layers Can Also Be Used In QGIS And QSWAT. license_id=None type=metadata-form owner_org=ed7b716c-553d-482f-a842-475df0d010b5 creator_user_id=994bdae6-cbc9-47f5-bd04-27672cfa8648 metadata_created=2022-08-24 11:59:33.692074 metadata_modified=2022-10-28 06:14:27.589606 private=False state=active> |
| pkg_dict |
{'agreement': 'true', 'alternative_identifier': '', 'author': None, 'author_email': None, 'creator_user_id': '994bdae6-cbc9-47f5-bd04-27672cfa8648', 'data_classification': 'static', 'data_collection_organization': '', 'data_structure_category': 'structured', 'dataset_language': 'English', 'dataset_license_url': '', 'did_author_or_contact_organization_collect_the_data': 'true', 'email': 'vanderlaanm@arc.agric.za', 'id': '9c187888-4ccc-4f96-aaa7-29b88dde40d1', 'isopen': False, 'keywords': 'HAMSA, SWAT, HAWQS, land cover, 2013, 2018, 2020', 'license': 'Open (Creative Commons)', 'license_id': None, 'license_title': None, 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2022-08-24T11:59:33.692074', 'metadata_modified': '2022-10-04T07:26:04.559151', 'name': 'a-south-african-national-input-database-to-run-the-swat-model-in-a-gis-land-cover-maps', 'notes': 'This WRC Funded Study Collated Multiple Geo-Spatial Datasets At A National Scale And Interpreted/Formatted The Data For Use As Baseline Input To Run The Soil And Water Assessment Tool (SWAT) In Any Catchment In SA. ArcSWAT Is A Graphical User Interface For SWAT And ArcGIS® Software Extension, Streamlining Access To Key Databases And Facilitating The Preparation Of Input Datasets. These Layers Can Also Be Used In QGIS And QSWAT.', 'num_resources': 5, 'num_tags': 0, 'organization': {'id': 'ed7b716c-553d-482f-a842-475df0d010b5', 'name': 'university-of-the-free-state', 'title': 'University of the Free State', 'type': 'organization', 'description': 'The University of the Free State (UFS) creates opportunities and growth through leading learning and teaching, focused research, and impactful engagement with society. Situated in the heart of South Africa, our character of caring and diversity translates into an outstanding university experience.', 'image_url': '2022-05-27-073611.52998420220527UFSlogo.JPG', 'created': '2022-05-27T07:36:11.550754', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'ed7b716c-553d-482f-a842-475df0d010b5', 'private': False, 'publication_date': '2022-02-01', 'publisher': 'Water Research Commission', 'spatial': '{"type": "Polygon", "coordinates": [[[16.4699, -22.1265], [32.8931, -22.1265], [32.8931, -34.8212], [16.4699, -34.8212], [16.4699, -22.1265]]]}', 'state': 'active', 'title': 'A SOUTH AFRICAN NATIONAL INPUT DATABASE TO RUN THE SWAT MODEL IN A GIS (land cover maps)', 'type': 'metadata-form', 'uploader_estimation_of_extent_of_processing': 'access', 'url': None, 'version': None, 'vertical_extent_datum': 'masl', 'wrc_project_number': 'WRC Project C2019-2020-00089', 'wro_theme': 'hydrological_data_and_modelling', 'authors': [{'author_department': 'Department of Geography', 'author_email': 'LeRouxJJ@ufs.ac.za', 'author_name': 'Jay', 'author_surname': 'le Roux', 'contact_same_as_author': 'true'}], 'contact_person': [{'contact_department': '', 'contact_email': '', 'contact_name': '', 'contact_orgnization': ''}], 'data_reference_date': [{'data_reference_date_from': '', 'data_reference_date_to': ''}], 'extras': [{'key': 'cloud_path', 'value': 'hydrological_data_and_modelling/structured/access/static'}, {'key': 'recommended_citation', 'value': 'Le Roux J, Mararakanye N, Mudaly L, Harold W, Van Der Laan M (2022) Development Of A South African National Input Database To Run The SWAT Model In A GIS. WRC Project C2019-2020-00089, Pretoria, South Africa.'}], 'minimum_maximum_extent': [{'maximum_vertical_extent': '50', 'minimum_vertical_extent': '50'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'cloud_path': 'Hydrological_Data_And_Modelling/Structured/Access/Static', 'created': '2022-08-24T12:08:04.814085', 'dataset_description': 'National land cover map for South Africa for 2013 and SWAT codes.', 'datastore_active': False, 'description': None, 'file_to_bigquery_table': False, 'format': 'ZIP', 'hash': '', 'id': '646b889f-af3d-4cc4-b25f-d23e9fdc57b5', 'is_bigquery_table': False, 'is_data_supplementary': False, 'is_link': False, 'last_modified': None, 'metadata_modified': '2022-10-04T07:26:04.565718', 'mimetype': None, 'mimetype_inner': None, 'name': 'NLC2013_SWAT.zip', 'package_id': '9c187888-4ccc-4f96-aaa7-29b88dde40d1', 'position': 0, 'resource_name': 'National land cover 2013', 'resource_type': None, 'size': None, 'state': 'active', 'url': 'https://storage.cloud.google.com/wrc_wro_datasets/Hydrological_Data_And_Modelling/Structured/Access/Static/a-south-african-national-input-database-to-run-the-swat-model-in-a-gis-land-cover-maps/nlc2013_swat_id_646b889f-af3d-4cc4-b25f-d23e9fdc57b5.zip', 'url_type': 'link'}, {'cache_last_updated': None, 'cache_url': None, 'cloud_path': 'Hydrological_Data_And_Modelling/Structured/Access/Static', 'created': '2022-08-24T12:56:37.483786', 'dataset_description': 'National land cover map for South Africa for 2020 and SWAT codes. Prepared after the completion of the original project by Mr Harold Weepener at the ARC.', 'datastore_active': False, 'description': None, 'file_to_bigquery_table': False, 'format': 'ZIP', 'hash': '', 'id': '8fc37807-58a3-48dc-b51d-f9dd5a4e8e09', 'is_bigquery_table': False, 'is_data_supplementary': False, 'is_link': False, 'last_modified': None, 'metadata_modified': '2022-10-04T07:26:04.566013', 'mimetype': None, 'mimetype_inner': None, 'name': 'NLC2020_SWAT.zip', 'package_id': '9c187888-4ccc-4f96-aaa7-29b88dde40d1', 'position': 1, 'resource_name': 'National land cover 2020', 'resource_type': None, 'size': None, 'state': 'active', 'url': 'https://storage.cloud.google.com/wrc_wro_datasets/Hydrological_Data_And_Modelling/Structured/Access/Static/a-south-african-national-input-database-to-run-the-swat-model-in-a-gis-land-cover-maps/nlc2020_swat_id_8fc37807-58a3-48dc-b51d-f9dd5a4e8e09.zip', 'url_type': 'link', 'has_views': False}, {'cache_last_updated': None, 'cache_url': None, 'cloud_path': 'Hydrological_Data_And_Modelling/Structured/Access/Static', 'created': '2022-08-24T13:01:38.778500', 'dataset_description': 'National land cover map for South Africa for 2018 and SWAT codes.', 'datastore_active': False, 'description': None, 'file_to_bigquery_table': False, 'format': 'ZIP', 'hash': '', 'id': '0f3ea5f6-83b6-4b89-9aff-03bec5c1b621', 'is_bigquery_table': False, 'is_data_supplementary': False, 'is_link': False, 'last_modified': None, 'metadata_modified': '2022-10-04T07:26:04.566269', 'mimetype': None, 'mimetype_inner': None, 'name': 'NLC2018_SWAT.zip', 'package_id': '9c187888-4ccc-4f96-aaa7-29b88dde40d1', 'position': 2, 'resource_name': 'National land cover 2018', 'resource_type': None, 'size': None, 'state': 'active', 'url': 'https://storage.cloud.google.com/wrc_wro_datasets/Hydrological_Data_And_Modelling/Structured/Access/Static/a-south-african-national-input-database-to-run-the-swat-model-in-a-gis-land-cover-maps/nlc2018_swat_id_0f3ea5f6-83b6-4b89-9aff-03bec5c1b621.zip', 'url_type': 'link'}, {'cache_last_updated': None, 'cache_url': None, 'cloud_path': 'Hydrological_Data_And_Modelling/Structured/Access/Static', 'created': '2022-08-24T13:08:00.815110', 'dataset_description': 'National land cover 2013 codes for SWAT\r\nSWAT codes for the 2013 land cover map', 'datastore_active': False, 'description': None, 'file_to_bigquery_table': False, 'format': 'TXT', 'hash': '', 'id': 'dc53945e-cf2b-4ebf-bb28-e8d1a43f8f5b', 'is_bigquery_table': False, 'is_data_supplementary': False, 'is_link': False, 'last_modified': None, 'metadata_modified': '2022-10-04T07:26:04.566531', 'mimetype': None, 'mimetype_inner': None, 'name': 'LU_landcover2018.txt', 'package_id': '9c187888-4ccc-4f96-aaa7-29b88dde40d1', 'position': 3, 'resource_name': 'National land cover 2013 codes for SWAT', 'resource_type': None, 'size': None, 'state': 'active', 'url': 'https://storage.cloud.google.com/wrc_wro_datasets/Hydrological_Data_And_Modelling/Structured/Access/Static/a-south-african-national-input-database-to-run-the-swat-model-in-a-gis-land-cover-maps/lu_landcover2018_id_dc53945e-cf2b-4ebf-bb28-e8d1a43f8f5b.txt', 'url_type': 'link'}, {'cache_last_updated': None, 'cache_url': None, 'cloud_path': 'Hydrological_Data_And_Modelling/Structured/Access/Static', 'created': '2022-08-24T13:08:36.330868', 'dataset_description': '\r\nSWAT codes for the 2020 land cover map', 'datastore_active': False, 'description': None, 'file_to_bigquery_table': False, 'format': 'TXT', 'hash': '', 'id': 'e2d5c746-20a3-4f2e-90bd-b8d5288005e4', 'is_bigquery_table': False, 'is_data_supplementary': False, 'is_link': False, 'last_modified': None, 'metadata_modified': '2022-10-04T07:26:04.566780', 'mimetype': None, 'mimetype_inner': None, 'name': 'LU_landcover2020.txt', 'package_id': '9c187888-4ccc-4f96-aaa7-29b88dde40d1', 'position': 4, 'resource_name': 'National land cover 2020 codes for SWAT', 'resource_type': None, 'size': None, 'state': 'active', 'url': 'https://storage.cloud.google.com/wrc_wro_datasets/Hydrological_Data_And_Modelling/Structured/Access/Static/a-south-african-national-input-database-to-run-the-swat-model-in-a-gis-land-cover-maps/lu_landcover2020_id_e2d5c746-20a3-4f2e-90bd-b8d5288005e4.txt', 'url_type': 'link'}], 'tags': [], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []} |
| request |
<Request 'http://data.waterresearchobservatory.org/metadata-form/9c187888-4ccc-4f96-aaa7-29b88dde40d1/resource/8fc37807-58a3-48dc-b51d-f9dd5a4e8e09?activity_id=b589ccb8-6c62-4335-83f7-aee7900d0909' [GET]> |
| resource |
{'cache_last_updated': None, 'cache_url': None, 'cloud_path': 'Hydrological_Data_And_Modelling/Structured/Access/Static', 'created': '2022-08-24T12:56:37.483786', 'dataset_description': 'National land cover map for South Africa for 2020 and SWAT codes. Prepared after the completion of the original project by Mr Harold Weepener at the ARC.', 'datastore_active': False, 'description': None, 'file_to_bigquery_table': False, 'format': 'ZIP', 'hash': '', 'id': '8fc37807-58a3-48dc-b51d-f9dd5a4e8e09', 'is_bigquery_table': False, 'is_data_supplementary': False, 'is_link': False, 'last_modified': None, 'metadata_modified': '2022-10-04T07:26:04.566013', 'mimetype': None, 'mimetype_inner': None, 'name': 'NLC2020_SWAT.zip', 'package_id': '9c187888-4ccc-4f96-aaa7-29b88dde40d1', 'position': 1, 'resource_name': 'National land cover 2020', 'resource_type': None, 'size': None, 'state': 'active', 'url': 'https://storage.cloud.google.com/wrc_wro_datasets/Hydrological_Data_And_Modelling/Structured/Access/Static/a-south-african-national-input-database-to-run-the-swat-model-in-a-gis-land-cover-maps/nlc2020_swat_id_8fc37807-58a3-48dc-b51d-f9dd5a4e8e09.zip', 'url_type': 'link', 'has_views': False} |
| resource_views |
[] |
| session |
{'_domain': None, '_path': '/', '_accessed_time': 1714676371.4504266, '_creation_time': 1714676371.4504266} |
| ungettext |
<function ungettext at 0x7fd486b11280> |
