| c |
<flask.g of 'ckan.config.middleware.flask_app'> |
| current_resource_view |
None |
| dataset_type |
'dataset' |
| g |
<flask.g of 'ckan.config.middleware.flask_app'> |
| h |
{'redirect_to': <function redirect_to at 0x7fd1c723ad30>, 'url': <function url at 0x7fd1c723ae50>, 'get_site_protocol_and_host': <function get_site_protocol_and_host at 0x7fd1c723adc0>, 'url_for': <function url_for at 0x7fd1c71bc040>, 'url_for_static': <function url_for_static at 0x7fd1c71bc1f0>, 'url_for_static_or_external': <function url_for_static_or_external at 0x7fd1c71bc280>, 'is_url': <function is_url at 0x7fd1c71bc310>, 'url_is_local': <function url_is_local at 0x7fd1c71bc430>, 'full_current_url': <function full_current_url at 0x7fd1c71bc4c0>, 'current_url': <function current_url at 0x7fd1c71bc550>, 'lang': <function lang at 0x7fd1c71bc5e0>, 'ckan_version': <function ckan_version at 0x7fd1c71bc670>, 'lang_native_name': <function lang_native_name at 0x7fd1c71bc700>, 'is_rtl_language': <function is_rtl_language at 0x7fd1c71bc790>, 'get_rtl_theme': <function get_rtl_theme at 0x7fd1c71bc820>, 'get_rtl_css': <function get_rtl_css at 0x7fd1c71bc8b0>, 'flash_notice': <function flash_notice at 0x7fd1c71bc940>, 'flash_error': <function flash_error at 0x7fd1c71bcdc0>, 'flash_success': <function flash_success at 0x7fd1c71bce50>, 'are_there_flash_messages': <function are_there_flash_messages at 0x7fd1c71bcee0>, 'link_to': <function link_to at 0x7fd1c71bd3a0>, 'file': <function file at 0x7fd1c71bd430>, 'submit': <function submit at 0x7fd1c71bd4c0>, 'nav_link': <function nav_link at 0x7fd1c71bd550>, 'nav_named_link': <function nav_named_link at 0x7fd1c71bd820>, 'subnav_link': <function subnav_link at 0x7fd1c71bd940>, 'subnav_named_route': <function subnav_named_route at 0x7fd1c71bda60>, 'build_nav_main': <function build_pages_nav_main at 0x7fd1aa710f70>, 'build_nav_icon': <function build_nav_icon at 0x7fd1c71bdaf0>, 'build_nav': <function build_nav at 0x7fd1c71bdb80>, 'build_extra_admin_nav': <function build_extra_admin_nav at 0x7fd1c71bdca0>, 'default_group_type': <function default_group_type at 0x7fd1c71bddc0>, 'get_facet_items_dict': <function get_facet_items_dict at 0x7fd1c71bde50>, 'has_more_facets': <function has_more_facets at 0x7fd1c71bdee0>, 'unselected_facet_items': <function unselected_facet_items at 0x7fd1c71bdf70>, 'get_facet_title': <function get_facet_title at 0x7fd1c71be160>, 'get_param_int': <function get_param_int at 0x7fd1c71be040>, 'sorted_extras': <function sorted_extras at 0x7fd1c71be280>, 'check_access': <function check_access at 0x7fd1c71be310>, 'get_action': <function get_action at 0x7fd1c71be4c0>, 'linked_user': <function linked_user at 0x7fd1c71be3a0>, 'group_name_to_title': <function group_name_to_title at 0x7fd1c71be550>, 'truncate': <function truncate at 0x7fd1c71be5e0>, 'markdown_extract': <function markdown_extract at 0x7fd1c71be670>, 'icon_url': <function icon_url at 0x7fd1c71be700>, 'icon_html': <function icon_html at 0x7fd1c71be790>, 'icon': <function icon at 0x7fd1c71be820>, 'resource_icon': <function resource_icon at 0x7fd1c71be8b0>, 'format_icon': <function format_icon at 0x7fd1c71be940>, 'dict_list_reduce': <function dict_list_reduce at 0x7fd1c71be9d0>, 'gravatar': <function gravatar at 0x7fd1c71bea60>, 'sanitize_url': <function sanitize_url at 0x7fd1c71beaf0>, 'user_image': <function user_image at 0x7fd1c71beb80>, 'pager_url': <function pager_url at 0x7fd1c71bec10>, 'get_page_number': <function get_page_number at 0x7fd1c71beca0>, 'get_display_timezone': <function get_display_timezone at 0x7fd1c71bed30>, 'render_datetime': <function render_datetime at 0x7fd1c71bedc0>, 'date_str_to_datetime': <function date_str_to_datetime at 0x7fd1c71bee50>, 'parse_rfc_2822_date': <function parse_rfc_2822_date at 0x7fd1c71beee0>, 'time_ago_from_timestamp': <function time_ago_from_timestamp at 0x7fd1c71bef70>, 'button_attr': <function button_attr at 0x7fd1c71bf280>, 'dataset_display_name': <function dataset_display_name at 0x7fd1c71bf310>, 'dataset_link': <function dataset_link at 0x7fd1c71bf3a0>, 'resource_display_name': <function resource_display_name at 0x7fd1c71bf430>, 'resource_link': <function resource_link at 0x7fd1c71bf4c0>, 'tag_link': <function tag_link at 0x7fd1c71bf550>, 'group_link': <function group_link at 0x7fd1c71bf5e0>, 'organization_link': <function organization_link at 0x7fd1c71bf670>, 'dump_json': <function dump_json at 0x7fd1c71bf700>, 'auto_log_message': <function auto_log_message at 0x7fd1c71bf790>, 'activity_div': <function activity_div at 0x7fd1c71bf820>, 'snippet': <function snippet at 0x7fd1c71bf8b0>, 'convert_to_dict': <function convert_to_dict at 0x7fd1c71bf940>, 'follow_button': <function follow_button at 0x7fd1c71bf9d0>, 'follow_count': <function follow_count at 0x7fd1c71bfa60>, 'add_url_param': <function add_url_param at 0x7fd1c71bfb80>, 'remove_url_param': <function remove_url_param at 0x7fd1c71bfc10>, 'include_resource': <function include_resource at 0x7fd1c71bfca0>, 'urls_for_resource': <function urls_for_resource at 0x7fd1c71bfd30>, 'debug_inspect': <function debug_inspect at 0x7fd1c71bfdc0>, 'popular': <function popular at 0x7fd1c71bfe50>, 'groups_available': <function groups_available at 0x7fd1c71bfee0>, 'organizations_available': <function organizations_available at 0x7fd1c71bff70>, 'roles_translated': <function roles_translated at 0x7fd1c71c0040>, 'user_in_org_or_group': <function user_in_org_or_group at 0x7fd1c71c00d0>, 'dashboard_activity_stream': <function dashboard_activity_stream at 0x7fd1c71c0160>, 'recently_changed_packages_activity_stream': <function recently_changed_packages_activity_stream at 0x7fd1c71c01f0>, 'escape_js': <function escape_js at 0x7fd1c71c0280>, 'get_pkg_dict_extra': <function get_pkg_dict_extra at 0x7fd1c71c0310>, 'get_request_param': <function get_request_param at 0x7fd1c71c03a0>, 'html_auto_link': <function html_auto_link at 0x7fd1c71c0430>, 'render_markdown': <function render_markdown at 0x7fd1c71c04c0>, 'format_resource_items': <function format_resource_items at 0x7fd1c71c0550>, 'resource_preview': <function resource_preview at 0x7fd1c71c05e0>, 'get_allowed_view_types': <function get_allowed_view_types at 0x7fd1c71c0670>, 'rendered_resource_view': <function rendered_resource_view at 0x7fd1c71c0700>, 'view_resource_url': <bound method ResourceProxy.view_resource_url of <Plugin ResourceProxy 'resource_proxy'>>, 'resource_view_is_filterable': <function resource_view_is_filterable at 0x7fd1c71c0820>, 'resource_view_get_fields': <function resource_view_get_fields at 0x7fd1c71c08b0>, 'resource_view_is_iframed': <function resource_view_is_iframed at 0x7fd1c71c0940>, 'resource_view_icon': <function resource_view_icon at 0x7fd1c71c09d0>, 'resource_view_display_preview': <function resource_view_display_preview at 0x7fd1c71c0a60>, 'resource_view_full_page': <function resource_view_full_page at 0x7fd1c71c0af0>, 'remove_linebreaks': <function remove_linebreaks at 0x7fd1c71c0b80>, 'list_dict_filter': <function list_dict_filter at 0x7fd1c71c0c10>, 'SI_number_span': <function SI_number_span at 0x7fd1c71c0ca0>, 'new_activities': <function new_activities at 0x7fd1c71c0d30>, 'uploads_enabled': <function uploads_enabled at 0x7fd1c71c0dc0>, 'get_featured_organizations': <function get_featured_organizations at 0x7fd1c71c0e50>, 'get_featured_groups': <function get_featured_groups at 0x7fd1c71c0ee0>, 'featured_group_org': <function featured_group_org at 0x7fd1c71c0f70>, 'get_site_statistics': <function get_site_statistics at 0x7fd1c71c1040>, 'resource_formats': <function resource_formats at 0x7fd1c71c10d0>, 'unified_resource_format': <function unified_resource_format at 0x7fd1c71c1160>, 'check_config_permission': <function check_config_permission at 0x7fd1c71c11f0>, 'get_organization': <function get_organization at 0x7fd1c71c1280>, 'license_options': <function license_options at 0x7fd1c71c1310>, 'get_translated': <function get_translated at 0x7fd1c71c13a0>, 'facets': <function facets at 0x7fd1c71c1430>, 'mail_to': <function mail_to at 0x7fd1c71c14c0>, 'radio': <function radio at 0x7fd1c71c1550>, 'clean_html': <function clean_html at 0x7fd1c71c15e0>, 'flash': <ckan.lib.helpers._Flash object at 0x7fd1c7228a00>, 'localised_number': <function localised_number at 0x7fd1c847c310>, 'localised_SI_number': <function localised_SI_number at 0x7fd1c847c430>, 'localised_nice_date': <function localised_nice_date at 0x7fd1c847c1f0>, 'localised_filesize': <function localised_filesize at 0x7fd1c847c3a0>, 'get_available_locales': <function get_available_locales at 0x7fd1c95c4ca0>, 'get_locales_dict': <function get_locales_dict at 0x7fd1c95c4c10>, 'literal': <class 'ckan.lib.helpers.literal'>, 'asbool': <function asbool at 0x7fd1c96c9ee0>, 'urlencode': <function urlencode at 0x7fd1cb288ca0>, 'include_asset': <function include_asset at 0x7fd1c723a820>, 'render_assets': <function render_assets at 0x7fd1c723a940>, 'sanitize_id': <function sanitize_id at 0x7fd1c71c1700>, 'compare_pkg_dicts': <function compare_pkg_dicts at 0x7fd1c71c1790>, 'activity_list_select': <function activity_list_select at 0x7fd1c71c1820>, 'get_collaborators': <function get_collaborators at 0x7fd1c71c18b0>, 'can_update_owner_org': <function can_update_owner_org at 0x7fd1c71c1940>, 'check_ckan_version': <function check_ckan_version at 0x7fd1c71c19d0>, 'csrf_input': <function csrf_input at 0x7fd1c71c1a60>, 'saeoss_default_spatial_search_extent': functools.partial(<function get_default_spatial_search_extent at 0x7fd1aa020dc0>, 0.001), 'default_bounding_box': <function get_default_bounding_box at 0x7fd1aa020e50>, 'convert_geojson_to_bounding_box': <function convert_geojson_to_bbox at 0x7fd1aa020ee0>, 'extent_to_bbox': <function convert_string_extent_to_bbox at 0x7fd1aa020f70>, 'saeoss_themes': <function get_saeoss_themes at 0x7fd1aa07c4c0>, 'iso_topic_categories': <function get_iso_topic_categories at 0x7fd1aa020ca0>, 'get_iso_topic_display': <function get_iso_topic_display at 0x7fd1aa020d30>, 'saeoss_show_version': <function helper_show_version at 0x7fd1aa025040>, 'user_is_org_member': <function user_is_org_member at 0x7fd1aa0250d0>, 'org_member_list': <function org_member_list at 0x7fd1aa025160>, 'user_is_staff_member': <function user_is_staff_member at 0x7fd1aa0251f0>, 'get_featured_datasets': <function get_featured_datasets at 0x7fd1aa025310>, 'get_recently_modified_datasets': <function get_recently_modified_datasets at 0x7fd1aa025430>, 'get_all_datasets_count': <function get_all_datasets_count at 0x7fd1aa0254c0>, 'saeoss_org_memberships': <function get_org_memberships at 0x7fd1aa025790>, 'mod_scheming_flatten_subfield': <function mod_scheming_flatten_subfield at 0x7fd1aa025820>, 'get_today_date': <function get_today_date at 0x7fd1aa025940>, 'get_maintenance_custom_other_field_data': <function get_maintenance_custom_other_field_data at 0x7fd1aa0258b0>, 'get_release': <function get_current_release at 0x7fd1aa0259d0>, 'get_saved_searches': <function get_saved_searches at 0x7fd1aa025af0>, 'get_recent_news': <function get_recent_news at 0x7fd1aa025d30>, 'get_featured_datasets_count': <function get_featured_datasets_count at 0x7fd1aa0253a0>, 'get_user_name': <function get_user_name at 0x7fd1aa025b80>, 'get_user_name_from_url': <function get_user_name_from_url at 0x7fd1aa025ca0>, 'get_user_id': <function get_user_id at 0x7fd1aa025c10>, 'get_seo_metatags': <function get_seo_metatags at 0x7fd1aa025dc0>, 'get_datasets_thumbnail': <function get_datasets_thumbnail at 0x7fd1aa025670>, 'get_year': <function get_year at 0x7fd1aa025e50>, 'get_user_dashboard_packages': <function get_user_dashboard_packages at 0x7fd1aa025ee0>, 'get_org_public_records_count': <function get_org_public_records_count at 0x7fd1aa0255e0>, 'group_package_count': <function group_package_count at 0x7fd1aa025550>, 'render_content': <function render_content at 0x7fd1aa72e5e0>, 'get_wysiwyg_editor': <function get_wysiwyg_editor at 0x7fd1aa739b80>, 'get_recent_blog_posts': <function get_recent_blog_posts at 0x7fd1aa739c10>, 'pages_get_plus_icon': <function get_plus_icon at 0x7fd1aa739ca0>, 'scheming_language_text': <function scheming_language_text at 0x7fd1aa7efd30>, 'scheming_field_choices': <function scheming_field_choices at 0x7fd1aa7efdc0>, 'scheming_choices_label': <function scheming_choices_label at 0x7fd1aa7efe50>, 'scheming_datastore_choices': <function scheming_datastore_choices at 0x7fd1aa7efee0>, 'scheming_field_required': <function scheming_field_required at 0x7fd1aa7efb80>, 'scheming_dataset_schemas': <function scheming_dataset_schemas at 0x7fd1aa7eff70>, 'scheming_get_presets': <function scheming_get_presets at 0x7fd1aa7efc10>, 'scheming_get_preset': <function scheming_get_preset at 0x7fd1aa766040>, 'scheming_get_dataset_schema': <function scheming_get_dataset_schema at 0x7fd1aa7660d0>, 'scheming_get_dataset_form_pages': <function scheming_get_dataset_form_pages at 0x7fd1aa766160>, 'scheming_group_schemas': <function scheming_group_schemas at 0x7fd1aa7661f0>, 'scheming_get_group_schema': <function scheming_get_group_schema at 0x7fd1aa766280>, 'scheming_organization_schemas': <function scheming_organization_schemas at 0x7fd1aa766310>, 'scheming_get_organization_schema': <function scheming_get_organization_schema at 0x7fd1aa7663a0>, 'scheming_get_schema': <function scheming_get_schema at 0x7fd1aa766430>, 'scheming_field_by_name': <function scheming_field_by_name at 0x7fd1aa7664c0>, 'scheming_datetime_to_utc': <function scheming_datetime_to_utc at 0x7fd1aa7665e0>, 'scheming_datetime_to_tz': <function scheming_datetime_to_tz at 0x7fd1aa766670>, 'scheming_get_timezones': <function scheming_get_timezones at 0x7fd1aa766700>, 'scheming_display_json_value': <function scheming_display_json_value at 0x7fd1aa766790>, 'scheming_render_from_string': <function scheming_render_from_string at 0x7fd1aa766820>, 'scheming_flatten_subfield': <function scheming_flatten_subfield at 0x7fd1aa7668b0>, 'get_common_map_config_shp': <function get_common_map_config at 0x7fd1aa7cf670>, 'get_shapefile_viewer_config': <function get_shapefile_viewer_config at 0x7fd1aa7cf700>, 'get_common_map_config_wmts': <function get_common_map_config at 0x7fd1aa7cf670>, 'get_common_map_config_geojson': <function get_common_map_config at 0x7fd1aa7cf670>, 'geojson_get_max_file_size': <function get_max_file_size at 0x7fd1aa7cf790>, 'get_common_map_config_geoviews': <function get_common_map_config at 0x7fd1aa7cf670>, 'get_openlayers_viewer_config': <function get_openlayers_viewer_config at 0x7fd1aa7cf820>, 'get_reference_date': <function get_reference_date at 0x7fd1a07c6af0>, 'get_responsible_party': <function get_responsible_party at 0x7fd1a07c6b80>, 'get_common_map_config': <function get_common_map_config at 0x7fd1a07c6c10>, 'package_list_for_source': <function package_list_for_source at 0x7fd1a07c6e50>, 'package_count_for_source': <function package_count_for_source at 0x7fd1a07c6ee0>, 'harvesters_info': <function harvesters_info at 0x7fd1a07c6f70>, 'harvester_types': <function harvester_types at 0x7fd1a07d2040>, 'harvest_frequencies': <function harvest_frequencies at 0x7fd1a07d20d0>, 'link_for_harvest_object': <function link_for_harvest_object at 0x7fd1a07d2160>, 'harvest_source_extra_fields': <function harvest_source_extra_fields at 0x7fd1a07d21f0>, 'bootstrap_version': <function bootstrap_version at 0x7fd1a07d2280>, 'get_harvest_source': <function get_harvest_source at 0x7fd1a07c6dc0>, 'get_map_config': <function get_mapview_config at 0x7fd1c5038550>, 'get_dataproxy_url': <function get_dataproxy_url at 0x7fd1c50385e0>} |
| is_activity_archive |
False |
| package |
{'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/SAEON.FYNBOS.10000001', 'featured': 'false', 'id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'A climate-aided Bayesian kriging approach is used to interpolate 20 years of daily meteorological observations (maximum and minimum temperature and precipitation) to a 1 arc-minute grid for the Cape Floristic Region of South Africa. Independent validation data revealed overall predictive performance of the interpolation to have R2 values of 0.90, 0.85, and 0.59 for maximum temperature, minimum temperature, and precipitation, respectively. A suite of ecologically-relevant climate metrics that include the uncertainty introduced by the interpolation were then generated. By providing the high resolution climate metric surfaces and uncertainties, this work facilitates richer and more robust predictive modeling in ecology and bio- geography. These data can be incorporated into ecological models to propagate the uncertainties through to the final predictions', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-16T11:32:14.831108', 'metadata_date': '2016-01-01T00:00', 'metadata_modified': '2025-10-17T09:38:59.712167', 'metadata_thumbnail': '', 'name': 'interpolated_observed_weather_data_for_the_cape_floristic_region', 'notes': 'Conservation of biodiversity demands comprehension of evolutionary and ecological patterns and processes that occur over vast spatial and temporal scales. A central goal of ecology is to understand the climatic factors that control ecological processes and this has become even more important in the face of climate change. Especially at global scales, there can be enormous uncertainty in underlying environmental data used to explain ecological processes, but that uncertainty is rarely quantified or incorporated into ecological models. In this study a climate-aided Bayesian kriging approach is used to interpolate 20 years of daily meteorological observations (maximum and minimum temperature and precipitation) to a 1 arc-minute grid for the Cape Floristic Region of South Africa. Independent validation data revealed overall predictive performance of the interpolation to have R2 values of 0.90, 0.85, and 0.59 for maximum temperature, minimum temperature, and precipitation, respectively. A suite of ecologically-relevant climate metrics that include the uncertainty introduced by the interpolation were then generated. By providing the high resolution climate metric surfaces and uncertainties, this work facilitates richer and more robust predictive modeling in ecology and bio- geography. These data can be incorporated into ecological models to propagate the uncertainties through to the final predictions.', 'num_resources': 1, 'num_tags': 6, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. ', 'image_url': '2025-08-01-083136.289314LogoSAEON.png', 'created': '2025-05-26T07:57:06.135422', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[17.8, -34.9], [25.8, -34.9], [25.8, -30.9], [17.8, -30.9], [17.8, -34.9]]]}', 'state': 'active', 'title': 'Interpolated observed weather data for the Cape Floristic Region', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'adamw@buffalo.edu', 'individual_name': 'Adam Wilson', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2016-01-01T00:00', 'reference_date_type': 2}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'https://catalogue.saeon.ac.za/records/10.15493/SAEON.FYNBOS.10000001', 'name': 'Interpolated observed weather data for the Cape Floristic Region'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-16T11:36:41.735418', 'description': '', 'format': 'GEOMAP', 'format_version': '', 'hash': '', 'id': '7f7a6c95-c24a-417f-be2c-225aaed7e3c3', 'last_modified': None, 'metadata_modified': '2025-10-16T11:36:41.725285', 'mimetype': None, 'mimetype_inner': None, 'name': 'Interpolated observed weather data for the Cape Floristic Region', 'package_id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://catalogue.saeon.ac.za/records/10.15493/SAEON.FYNBOS.10000001', 'url_type': None, 'has_views': False, 'on_same_domain': False}], 'responsible_party': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'South African Environmental Observation Network', 'position_name': 'Organisation', 'role': 'resource_provider', 'website': 'catalogue.saeon.ac.za'}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': '', 'delivery_point': '', 'postal_code': ''}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': 'N/A', 'spatial_reference_system': 'EPSG: 4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Climate science', 'id': 'b63237e7-b9c9-4d92-9a20-13bc7a956a76', 'name': 'Climate science', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Climatology-Meteorology-Atmosphere', 'id': '48ad3286-3db6-4060-946b-92eaf1fc126d', 'name': 'Climatology-Meteorology-Atmosphere', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'atmosphere dynamics', 'id': 'd80be9c9-a5ca-418e-9e5b-a3a6dd7a3b44', 'name': 'atmosphere dynamics', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'climatology', 'id': '68f2471a-c336-4fc9-afd2-d252d6c41b7c', 'name': 'climatology', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'ecology', 'id': 'd8a5a11d-c929-4410-a2b3-65aa6b9d8263', 'name': 'ecology', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'environmental science', 'id': '30cb3d17-47d2-409e-9026-2c95191db59e', 'name': 'environmental science', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'climatologyMeteorologyAtmosphere'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': [], 'reference_date': '2016-01-01T00:00'} |
| pkg |
<Package id=e66d4a36-8db1-4f93-9236-05523d2ad639 name=interpolated_observed_weather_data_for_the_cape_floristic_region title=Interpolated observed weather data for the Cape Floristic Region version=None url=None author=None author_email=None maintainer=None maintainer_email=None notes=Conservation of biodiversity demands comprehension of evolutionary and ecological patterns and processes that occur over vast spatial and temporal scales. A central goal of ecology is to understand the climatic factors that control ecological processes and this has become even more important in the face of climate change. Especially at global scales, there can be enormous uncertainty in underlying environmental data used to explain ecological processes, but that uncertainty is rarely quantified or incorporated into ecological models. In this study a climate-aided Bayesian kriging approach is used to interpolate 20 years of daily meteorological observations (maximum and minimum temperature and precipitation) to a 1 arc-minute grid for the Cape Floristic Region of South Africa. Independent validation data revealed overall predictive performance of the interpolation to have R2 values of 0.90, 0.85, and 0.59 for maximum temperature, minimum temperature, and precipitation, respectively. A suite of ecologically-relevant climate metrics that include the uncertainty introduced by the interpolation were then generated. By providing the high resolution climate metric surfaces and uncertainties, this work facilitates richer and more robust predictive modeling in ecology and bio- geography. These data can be incorporated into ecological models to propagate the uncertainties through to the final predictions. license_id=None type=dataset owner_org=c4a18544-cded-4488-9f43-c02a1094ad39 creator_user_id=64e47517-dce0-4a13-9ab7-ef1cfcd1d892 metadata_created=2025-10-16 11:32:14.831108 metadata_modified=2025-10-17 09:38:59.712167 private=False state=active> |
| pkg_dict |
{'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/SAEON.FYNBOS.10000001', 'featured': 'false', 'id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'A climate-aided Bayesian kriging approach is used to interpolate 20 years of daily meteorological observations (maximum and minimum temperature and precipitation) to a 1 arc-minute grid for the Cape Floristic Region of South Africa. Independent validation data revealed overall predictive performance of the interpolation to have R2 values of 0.90, 0.85, and 0.59 for maximum temperature, minimum temperature, and precipitation, respectively. A suite of ecologically-relevant climate metrics that include the uncertainty introduced by the interpolation were then generated. By providing the high resolution climate metric surfaces and uncertainties, this work facilitates richer and more robust predictive modeling in ecology and bio- geography. These data can be incorporated into ecological models to propagate the uncertainties through to the final predictions', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-16T11:32:14.831108', 'metadata_date': '2016-01-01T00:00', 'metadata_modified': '2025-10-17T09:38:59.712167', 'metadata_thumbnail': '', 'name': 'interpolated_observed_weather_data_for_the_cape_floristic_region', 'notes': 'Conservation of biodiversity demands comprehension of evolutionary and ecological patterns and processes that occur over vast spatial and temporal scales. A central goal of ecology is to understand the climatic factors that control ecological processes and this has become even more important in the face of climate change. Especially at global scales, there can be enormous uncertainty in underlying environmental data used to explain ecological processes, but that uncertainty is rarely quantified or incorporated into ecological models. In this study a climate-aided Bayesian kriging approach is used to interpolate 20 years of daily meteorological observations (maximum and minimum temperature and precipitation) to a 1 arc-minute grid for the Cape Floristic Region of South Africa. Independent validation data revealed overall predictive performance of the interpolation to have R2 values of 0.90, 0.85, and 0.59 for maximum temperature, minimum temperature, and precipitation, respectively. A suite of ecologically-relevant climate metrics that include the uncertainty introduced by the interpolation were then generated. By providing the high resolution climate metric surfaces and uncertainties, this work facilitates richer and more robust predictive modeling in ecology and bio- geography. These data can be incorporated into ecological models to propagate the uncertainties through to the final predictions.', 'num_resources': 1, 'num_tags': 6, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. ', 'image_url': '2025-08-01-083136.289314LogoSAEON.png', 'created': '2025-05-26T07:57:06.135422', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[17.8, -34.9], [25.8, -34.9], [25.8, -30.9], [17.8, -30.9], [17.8, -34.9]]]}', 'state': 'active', 'title': 'Interpolated observed weather data for the Cape Floristic Region', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'adamw@buffalo.edu', 'individual_name': 'Adam Wilson', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2016-01-01T00:00', 'reference_date_type': 2}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'https://catalogue.saeon.ac.za/records/10.15493/SAEON.FYNBOS.10000001', 'name': 'Interpolated observed weather data for the Cape Floristic Region'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-16T11:36:41.735418', 'description': '', 'format': 'GEOMAP', 'format_version': '', 'hash': '', 'id': '7f7a6c95-c24a-417f-be2c-225aaed7e3c3', 'last_modified': None, 'metadata_modified': '2025-10-16T11:36:41.725285', 'mimetype': None, 'mimetype_inner': None, 'name': 'Interpolated observed weather data for the Cape Floristic Region', 'package_id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://catalogue.saeon.ac.za/records/10.15493/SAEON.FYNBOS.10000001', 'url_type': None, 'has_views': False, 'on_same_domain': False}], 'responsible_party': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'South African Environmental Observation Network', 'position_name': 'Organisation', 'role': 'resource_provider', 'website': 'catalogue.saeon.ac.za'}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': '', 'delivery_point': '', 'postal_code': ''}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': 'N/A', 'spatial_reference_system': 'EPSG: 4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Climate science', 'id': 'b63237e7-b9c9-4d92-9a20-13bc7a956a76', 'name': 'Climate science', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Climatology-Meteorology-Atmosphere', 'id': '48ad3286-3db6-4060-946b-92eaf1fc126d', 'name': 'Climatology-Meteorology-Atmosphere', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'atmosphere dynamics', 'id': 'd80be9c9-a5ca-418e-9e5b-a3a6dd7a3b44', 'name': 'atmosphere dynamics', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'climatology', 'id': '68f2471a-c336-4fc9-afd2-d252d6c41b7c', 'name': 'climatology', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'ecology', 'id': 'd8a5a11d-c929-4410-a2b3-65aa6b9d8263', 'name': 'ecology', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'environmental science', 'id': '30cb3d17-47d2-409e-9026-2c95191db59e', 'name': 'environmental science', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'climatologyMeteorologyAtmosphere'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': [], 'reference_date': '2016-01-01T00:00'} |
| request |
<Request 'http://saeoss.sansa.org.za/dataset/interpolated_observed_weather_data_for_the_cape_floristic_region/resource/7f7a6c95-c24a-417f-be2c-225aaed7e3c3' [GET]> |
| resource |
{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-16T11:36:41.735418', 'description': '', 'format': 'GEOMAP', 'format_version': '', 'hash': '', 'id': '7f7a6c95-c24a-417f-be2c-225aaed7e3c3', 'last_modified': None, 'metadata_modified': '2025-10-16T11:36:41.725285', 'mimetype': None, 'mimetype_inner': None, 'name': 'Interpolated observed weather data for the Cape Floristic Region', 'package_id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://catalogue.saeon.ac.za/records/10.15493/SAEON.FYNBOS.10000001', 'url_type': None, 'has_views': False, 'on_same_domain': False} |
| resource_views |
[] |
| session |
{'_domain': None, '_path': '/', '_accessed_time': 1789428937.166356, '_creation_time': 1789428937.166356} |
| ungettext |
<function ungettext at 0x7fd1c96c9670> |