Doctor-prescription amounts in the Midi-Pyrenees Department in 1999 - Canton_vertex.csv

Verticies of the polygons describing all cantons, including "missing cantons"; the first 268 cantons in the dataset are those with doctor-prescription data.

Additional Information

Field	Value
Data last updated	December 24, 2014
Metadata last updated	December 24, 2014
Created	December 24, 2014
Format	CSV
License	Creative Commons Attribution Share-Alike
Datastore active	False
Has views	False
Id	eb1245c6-7844-405d-bd6b-81d55d1c8ffb
Package id	50b19b04-5681-458c-b421-76466e867b79
Position	1
State	active
Url type	upload

Field

Value

Data last updated

December 24, 2014

Metadata last updated

December 24, 2014

Created

December 24, 2014

Format

CSV

License

Creative Commons Attribution Share-Alike

Datastore active

False

Has views

False

eb1245c6-7844-405d-bd6b-81d55d1c8ffb

Package id

50b19b04-5681-458c-b421-76466e867b79

Position

State

active

Url type

upload

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Variable	Value
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package	{'author': '', 'author_email': '', 'creator_user_id': '0ed6839a-e7cd-4504-9192-fa73b3cc8756', 'id': '50b19b04-5681-458c-b421-76466e867b79', 'isopen': True, 'license_id': 'cc-by-sa', 'license_title': 'Creative Commons Attribution Share-Alike', 'license_url': 'http://www.opendefinition.org/licenses/cc-by-sa', 'maintainer': 'Andrew Zammit Mangion', 'maintainer_email': 'azm [at] uow.edu.au', 'metadata_created': '2014-12-24T00:05:24.200510', 'metadata_modified': '2017-02-06T01:58:21.359471', 'name': 'doctor-prescription-amounts-per-consultation', 'notes': 'Description:\r\n----\r\n\r\nThese data, analysed in Cressie, Perrin, and Thomas-Agnan (2005) and Cressie and Wikle (2011) Section 4.2, represent the average doctor-prescription amounts per consultation in cantons of the Midi-Pyrenees Department in southwest France. There are 268 cantons in the Midi-Pyrenees where average doctor-prescription amounts (per consultation) were reported for the period January 1, 1999-December 31, 1999. There are 32 "missing cantons" in the Midi-Pyrenees (MP) with no doctor-prescription data. Not all of the "missing cantons" in the files correspond to actual cantons; see below.\r\n\r\nThere are two datasets created from the original ones sent by Christine Thomas-Agnan: "Canton_neighbor.csv" and "Canton_vertex.csv". "Canton_neighbor.csv" is the dataset with cantons and their neighbours in the Midi-Pyrenees Region of France; note that only cantons with prescription data are included. "Canton_vertex.csv" is the dataset with cantons and vertices of the polygons; note that all cantons from the Midi-Pyrenees region are included, whether or not there were prescription data associated with them. The first 268 cantons in the dataset are those with prescription data. The same canton in both "Canton_neighbor.csv" and "Canton_vertex.csv" has the same value of "No.". The explanation of variables associated with each dataset is given as follows:\r\n\r\nFormat:\r\n----\r\n\r\nCanton_neighbor.csv\r\n\r\n`Variable` Variable Explanation\r\n\r\n`No.`: ID number from 1 to 268 (number of cantons with prescription data)\r\n\r\n`INSEE_ID`: INSEE code\r\n\r\n`CANTON_NAME`: Canton name\r\n\r\n`X`: X-coordinate of the centroid (in meters according to NTF)\r\n\r\n`Y`: Y-coordinate of the centroid (in meters according to NTF)\r\n\r\n`Z`: Variable Z (average prescription amount per consultation in 1999, in French Francs)\r\n\r\n`X2`: Variable X2 (percentage of patients 70 or older)\r\n\r\n`X1`: Variable X1 (per-capita income)\r\n\r\n`E`: Variable E (number of consultations in 1999)\r\n\r\n`N1-N12`: INSEE_IDs of the neighbour cantons (up to 12 neighbors)\r\n\r\n\r\nCanton_vertex.csv\r\n\r\n`Variable` Variable Explanation\r\n\r\n`No.`: ID number from 1 to 300 (number of all cantons in Midi-Pyrenees Region)\r\n\r\n`INSEE_ID`: INSEE code\r\n\r\n`CANTON_NAME`: Canton name\r\n\r\n`X`: X-coordinate of the centroid (in meters according to NTF)\r\n\r\n`Y`: Y-coordinate of the centroid (in meters according to NTF)\r\n\r\n`X1,Y1 - X76,Y76`: (X,Y) coordinates of vertices of the corresponding CANTON (up to 76 vertices) \r\n\r\nIn addition to Cressie et al. (2005) and Section 4.2 of Cressie and Wikle (2011), these data have been analysed and modeled in Kang et al. (2009).\r\n\r\n\r\n\r\nCanton_neighbor.csv: Doctor-Prescription Amounts per Consultation and other covariates in Midi-Pyrenees cantons. Also included are the cantons\' neighbors. Note: only the 268 cantons with prescription data are included in this file. \r\n\r\nCanton_vertex.csv: Verticies of the polygons describing all cantons, including "missing cantons"; the first 268 cantons in the dataset are those with doctor-prescription data. \r\n\r\nUsage:\r\n-----------------\r\n\r\n![Alt text](https://dl.dropboxusercontent.com/u/3028804/ckan/All_Cantons.jpg)\r\n\r\nAll Cantons: there are 32 "missing cantons" in the Midi-Pyrenees that do not have doctor-prescription data. Recall there are 268 cantons with doctor-prescription data. Then, there are 300 cantons in total. \r\n\r\n![Alt text](https://dl.dropboxusercontent.com/u/3028804/ckan/Missing_Cantons.jpg)\r\n\r\nMissing Cantons: the centroids of 32 "missing cantons"; since there are a total of 294 administrative cantons in the Midi-Pyrenees, 6 of the so-called missing cantons must be small polygons formed by digitization error. It is not known which of the 32 \'cantons\' whose centroids are shown in this file are real and which are artefacts of the digitization. This does not affect our analysis of the 268 cantons with data.\r\n\r\nReferences:\r\n--------\r\n\r\nN. Cressie, O. Perrin, and C. Thomas-Agnan. Likelihood-based estimation for Gaussian MRFs. Statistical Methodology, 2:1-16, 2005.\r\n\r\nE. L. Kang, D. Liu, and N. Cressie. Statistical analysis of small-area data based on independence, spatial, non-hierarchical, and hierarchical models. Computational Statistics and Data Analysis, 53:3016-3032, 2009.\r\n\r\nN. Cressie, and C. K. Wikle. Statistics for Spatio-temporal Data. John Wiley & Sons, 2011.', 'num_resources': 2, 'num_tags': 2, 'organization': {'id': '4207b363-dfff-475d-a24c-fd97ca7f9e9a', 'name': 'cei', 'title': 'Centre for Environmental Informatics (CEI)', 'type': 'organization', 'description': '', 'image_url': 'http://niasra.uow.edu.au/content/groups/webasset/@web/@inf/@math/documents/mm/uow170808.png', 'created': '2014-11-25T12:33:11.014268', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': '4207b363-dfff-475d-a24c-fd97ca7f9e9a', 'private': False, 'state': 'active', 'title': 'Doctor-prescription amounts in the Midi-Pyrenees Department in 1999', 'type': 'dataset', 'url': '', 'version': '', 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2014-12-24T11:07:23.093397', 'datastore_active': False, 'description': "Doctor Prescription Amounts per Consultation and other covariates in Midi-Pyrenees cantons. Also included are the cantons' neighbors. 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pkg	<Package id=50b19b04-5681-458c-b421-76466e867b79 name=doctor-prescription-amounts-per-consultation title=Doctor-prescription amounts in the Midi-Pyrenees Department in 1999 version= url= author= author_email= maintainer=Andrew Zammit Mangion maintainer_email=azm [at] uow.edu.au notes=Description: ---- These data, analysed in Cressie, Perrin, and Thomas-Agnan (2005) and Cressie and Wikle (2011) Section 4.2, represent the average doctor-prescription amounts per consultation in cantons of the Midi-Pyrenees Department in southwest France. There are 268 cantons in the Midi-Pyrenees where average doctor-prescription amounts (per consultation) were reported for the period January 1, 1999-December 31, 1999. There are 32 "missing cantons" in the Midi-Pyrenees (MP) with no doctor-prescription data. Not all of the "missing cantons" in the files correspond to actual cantons; see below. There are two datasets created from the original ones sent by Christine Thomas-Agnan: "Canton_neighbor.csv" and "Canton_vertex.csv". "Canton_neighbor.csv" is the dataset with cantons and their neighbours in the Midi-Pyrenees Region of France; note that only cantons with prescription data are included. "Canton_vertex.csv" is the dataset with cantons and vertices of the polygons; note that all cantons from the Midi-Pyrenees region are included, whether or not there were prescription data associated with them. The first 268 cantons in the dataset are those with prescription data. The same canton in both "Canton_neighbor.csv" and "Canton_vertex.csv" has the same value of "No.". The explanation of variables associated with each dataset is given as follows: Format: ---- Canton_neighbor.csv `Variable` Variable Explanation `No.`: ID number from 1 to 268 (number of cantons with prescription data) `INSEE_ID`: INSEE code `CANTON_NAME`: Canton name `X`: X-coordinate of the centroid (in meters according to NTF) `Y`: Y-coordinate of the centroid (in meters according to NTF) `Z`: Variable Z (average prescription amount per consultation in 1999, in French Francs) `X2`: Variable X2 (percentage of patients 70 or older) `X1`: Variable X1 (per-capita income) `E`: Variable E (number of consultations in 1999) `N1-N12`: INSEE_IDs of the neighbour cantons (up to 12 neighbors) Canton_vertex.csv `Variable` Variable Explanation `No.`: ID number from 1 to 300 (number of all cantons in Midi-Pyrenees Region) `INSEE_ID`: INSEE code `CANTON_NAME`: Canton name `X`: X-coordinate of the centroid (in meters according to NTF) `Y`: Y-coordinate of the centroid (in meters according to NTF) `X1,Y1 - X76,Y76`: (X,Y) coordinates of vertices of the corresponding CANTON (up to 76 vertices) In addition to Cressie et al. (2005) and Section 4.2 of Cressie and Wikle (2011), these data have been analysed and modeled in Kang et al. (2009). Canton_neighbor.csv: Doctor-Prescription Amounts per Consultation and other covariates in Midi-Pyrenees cantons. Also included are the cantons' neighbors. Note: only the 268 cantons with prescription data are included in this file. Canton_vertex.csv: Verticies of the polygons describing all cantons, including "missing cantons"; the first 268 cantons in the dataset are those with doctor-prescription data. Usage: ----------------- ![Alt text](https://dl.dropboxusercontent.com/u/3028804/ckan/All_Cantons.jpg) All Cantons: there are 32 "missing cantons" in the Midi-Pyrenees that do not have doctor-prescription data. Recall there are 268 cantons with doctor-prescription data. Then, there are 300 cantons in total. ![Alt text](https://dl.dropboxusercontent.com/u/3028804/ckan/Missing_Cantons.jpg) Missing Cantons: the centroids of 32 "missing cantons"; since there are a total of 294 administrative cantons in the Midi-Pyrenees, 6 of the so-called missing cantons must be small polygons formed by digitization error. It is not known which of the 32 'cantons' whose centroids are shown in this file are real and which are artefacts of the digitization. This does not affect our analysis of the 268 cantons with data. References: -------- N. Cressie, O. Perrin, and C. Thomas-Agnan. Likelihood-based estimation for Gaussian MRFs. Statistical Methodology, 2:1-16, 2005. E. L. Kang, D. Liu, and N. Cressie. Statistical analysis of small-area data based on independence, spatial, non-hierarchical, and hierarchical models. Computational Statistics and Data Analysis, 53:3016-3032, 2009. N. Cressie, and C. K. Wikle. Statistics for Spatio-temporal Data. John Wiley & Sons, 2011. license_id=cc-by-sa type=dataset owner_org=4207b363-dfff-475d-a24c-fd97ca7f9e9a creator_user_id=0ed6839a-e7cd-4504-9192-fa73b3cc8756 metadata_created=2014-12-24 00:05:24.200510 metadata_modified=2017-02-06 01:58:21.359471 private=False state=active plugin_data=None>
pkg_dict	{'author': '', 'author_email': '', 'creator_user_id': '0ed6839a-e7cd-4504-9192-fa73b3cc8756', 'id': '50b19b04-5681-458c-b421-76466e867b79', 'isopen': True, 'license_id': 'cc-by-sa', 'license_title': 'Creative Commons Attribution Share-Alike', 'license_url': 'http://www.opendefinition.org/licenses/cc-by-sa', 'maintainer': 'Andrew Zammit Mangion', 'maintainer_email': 'azm [at] uow.edu.au', 'metadata_created': '2014-12-24T00:05:24.200510', 'metadata_modified': '2017-02-06T01:58:21.359471', 'name': 'doctor-prescription-amounts-per-consultation', 'notes': 'Description:\r\n----\r\n\r\nThese data, analysed in Cressie, Perrin, and Thomas-Agnan (2005) and Cressie and Wikle (2011) Section 4.2, represent the average doctor-prescription amounts per consultation in cantons of the Midi-Pyrenees Department in southwest France. There are 268 cantons in the Midi-Pyrenees where average doctor-prescription amounts (per consultation) were reported for the period January 1, 1999-December 31, 1999. There are 32 "missing cantons" in the Midi-Pyrenees (MP) with no doctor-prescription data. Not all of the "missing cantons" in the files correspond to actual cantons; see below.\r\n\r\nThere are two datasets created from the original ones sent by Christine Thomas-Agnan: "Canton_neighbor.csv" and "Canton_vertex.csv". "Canton_neighbor.csv" is the dataset with cantons and their neighbours in the Midi-Pyrenees Region of France; note that only cantons with prescription data are included. "Canton_vertex.csv" is the dataset with cantons and vertices of the polygons; note that all cantons from the Midi-Pyrenees region are included, whether or not there were prescription data associated with them. The first 268 cantons in the dataset are those with prescription data. The same canton in both "Canton_neighbor.csv" and "Canton_vertex.csv" has the same value of "No.". The explanation of variables associated with each dataset is given as follows:\r\n\r\nFormat:\r\n----\r\n\r\nCanton_neighbor.csv\r\n\r\n`Variable` Variable Explanation\r\n\r\n`No.`: ID number from 1 to 268 (number of cantons with prescription data)\r\n\r\n`INSEE_ID`: INSEE code\r\n\r\n`CANTON_NAME`: Canton name\r\n\r\n`X`: X-coordinate of the centroid (in meters according to NTF)\r\n\r\n`Y`: Y-coordinate of the centroid (in meters according to NTF)\r\n\r\n`Z`: Variable Z (average prescription amount per consultation in 1999, in French Francs)\r\n\r\n`X2`: Variable X2 (percentage of patients 70 or older)\r\n\r\n`X1`: Variable X1 (per-capita income)\r\n\r\n`E`: Variable E (number of consultations in 1999)\r\n\r\n`N1-N12`: INSEE_IDs of the neighbour cantons (up to 12 neighbors)\r\n\r\n\r\nCanton_vertex.csv\r\n\r\n`Variable` Variable Explanation\r\n\r\n`No.`: ID number from 1 to 300 (number of all cantons in Midi-Pyrenees Region)\r\n\r\n`INSEE_ID`: INSEE code\r\n\r\n`CANTON_NAME`: Canton name\r\n\r\n`X`: X-coordinate of the centroid (in meters according to NTF)\r\n\r\n`Y`: Y-coordinate of the centroid (in meters according to NTF)\r\n\r\n`X1,Y1 - X76,Y76`: (X,Y) coordinates of vertices of the corresponding CANTON (up to 76 vertices) \r\n\r\nIn addition to Cressie et al. (2005) and Section 4.2 of Cressie and Wikle (2011), these data have been analysed and modeled in Kang et al. (2009).\r\n\r\n\r\n\r\nCanton_neighbor.csv: Doctor-Prescription Amounts per Consultation and other covariates in Midi-Pyrenees cantons. Also included are the cantons\' neighbors. Note: only the 268 cantons with prescription data are included in this file. \r\n\r\nCanton_vertex.csv: Verticies of the polygons describing all cantons, including "missing cantons"; the first 268 cantons in the dataset are those with doctor-prescription data. \r\n\r\nUsage:\r\n-----------------\r\n\r\n![Alt text](https://dl.dropboxusercontent.com/u/3028804/ckan/All_Cantons.jpg)\r\n\r\nAll Cantons: there are 32 "missing cantons" in the Midi-Pyrenees that do not have doctor-prescription data. Recall there are 268 cantons with doctor-prescription data. Then, there are 300 cantons in total. \r\n\r\n![Alt text](https://dl.dropboxusercontent.com/u/3028804/ckan/Missing_Cantons.jpg)\r\n\r\nMissing Cantons: the centroids of 32 "missing cantons"; since there are a total of 294 administrative cantons in the Midi-Pyrenees, 6 of the so-called missing cantons must be small polygons formed by digitization error. It is not known which of the 32 \'cantons\' whose centroids are shown in this file are real and which are artefacts of the digitization. This does not affect our analysis of the 268 cantons with data.\r\n\r\nReferences:\r\n--------\r\n\r\nN. Cressie, O. Perrin, and C. Thomas-Agnan. Likelihood-based estimation for Gaussian MRFs. Statistical Methodology, 2:1-16, 2005.\r\n\r\nE. L. Kang, D. Liu, and N. Cressie. Statistical analysis of small-area data based on independence, spatial, non-hierarchical, and hierarchical models. Computational Statistics and Data Analysis, 53:3016-3032, 2009.\r\n\r\nN. Cressie, and C. K. Wikle. 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', 'format': 'CSV', 'hash': '', 'id': 'eb1245c6-7844-405d-bd6b-81d55d1c8ffb', 'last_modified': None, 'metadata_modified': '2014-12-24T11:07:42.095673', 'mimetype': None, 'mimetype_inner': None, 'name': 'Canton_vertex.csv', 'package_id': '50b19b04-5681-458c-b421-76466e867b79', 'position': 1, 'resource_type': None, 'size': None, 'state': 'active', 'url': 'https://hpc.niasra.uow.edu.au/ckan/dataset/50b19b04-5681-458c-b421-76466e867b79/resource/eb1245c6-7844-405d-bd6b-81d55d1c8ffb/download/cantonvertex.csv', 'url_type': 'upload', 'has_views': False}], 'tags': [{'display_name': 'health', 'id': '7c1d6d8b-de6d-4111-b1e2-3df6b8a90ce8', 'name': 'health', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'prescriptions', 'id': '8be4e4a0-a54a-45a9-a754-c3d0ed68da8e', 'name': 'prescriptions', 'state': 'active', 'vocabulary_id': None}], 'extras': [], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []}
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Canton_vertex.csv

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ckan.search.solr_allowed_query_parsers	`[]`
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ckan.site_about	'INTRODUCTION BY DIRECTOR: PROFESSOR Marijka Batterham \r\n----------------------\r\n\r\nThe National Institute for Applied Statistics Research Australia (NIASRA) at the University of Wollongong aims to identify Australia as a place where the discipline of applied statistics collaborates with academics and professionals in science, government, business and industry to tackle strategic problems. Methods for obtaining relevant and reliable data and methods that can be used to extract the information and evidence that the data can provide are fundamental in solving important and complex problems facing society. The huge increase in data available in all fields and relating to every issue challenging a modern society means that there are large gaps between the methods needed to fully exploit these data and the methods available to do so. New statistical methods are needed to handle uncertainty and risk in large and complex data structures and to generate knowledge that can be acted upon. NIASRA is undertaking a program of research developing new statistical methods for obtaining and analysing data relevant to agriculture, energy, engineering, environmental sciences, finance, health, medicine, mining, natural resources, and social sciences. The Institute aims to provide leading-edge research and consulting capacity in applied statistics for Australia and our region through the skills and activities of its staff and research students. \r\n \r\n\r\nNIASRA is committed to developing and applying innovative statistical methods to important problems. It conducts: \r\n\r\n- fundamental methodological research; \r\n- industry-focused and contract research; \r\n- major consulting projects;\r\n- professional education and training. \r\n \r\nNIASRA’s research is focused in Biometry and Bioinformatics, Environmental Informatics, Survey Methodology, and also research in Statistical Education and Statistical and Mathematical Methodology in Finance. It is led by Director Prof David Steel and includes: \r\n\r\n- Centre for Bioinformatics and Biometrics Research – Director Prof Brian Cullis;\r\n- Centre for Environmental Informatics – Director Distinguished Prof Noel Cressie;\r\n- Centre for Sample Survey Methodology – Director Prof Ray Chambers;\r\n- Statistical Consulting Centre - Director A/Professor Marijka Batterham, focussing on support for research within the University in design and analysis.\r\n \r\nThe institute is a Research Strength of the University of Wollongong and has over 20 academic staff members and 25 research students. It has been successful in developing long-term collaborative partnerships. It has two externally funded research professors: Professor Chambers is funded by the Australian Bureau of Statistics and Professor Brian Cullis is funded by CSIRO and the Grains Research Development Corporation. It has formal partnerships with the NZ Ministry of Health and the Australian Market and Social Research Society. \r\n \r\n\r\nThe themes that underpin the research at NIASRA are:\r\n\r\n- statistical design - developing efficient methods of obtaining relevant and reliable data in surveys, experiments, and other data collections;\r\n- complexity of data arising from observations in large scale real populations – often involving hierarchical or auto-correlated data - and computational methods to handle such data; and\r\n- working with major organisations on significant problems. \r\n \r\nInternationally competitive areas of methodological research include: statistical design - survey and experimental design; analysis of complex data from complex populations - survey, biometric, environmental, longitudinal, spatial, aggregated data, and also combining data; statistical modelling – methods for spatial, temporal and spatial-temporal data, semi-parametric and nonparametric methods, time series, quasi-likelihood, multi-level modelling, Bayesian analysis, and estimating equations;\r\ndata quality and survey methods - particularly telephone, household, internet and environmental surveys;\r\nstatistical confidentiality.\r\n \r\nNIASRA offers postgraduate and professional education courses and programs that build on our world-class staff, extensive experience and industry collaborations.'
ckan.site_custom_css	`'a[href]:after {\r\n content: none;\r\n}\r\n.hero {\r\n min-height:0px;\r\n}'`
ckan.site_description	`'National Institute for Applied Statistics Research Australia'`
ckan.site_id	`'niasra-ckan'`
ckan.site_intro_text	'This data portal hosts data of interest to, or used in projects by, researchers at the National Institute of Applied Research Australia (NIASRA), based at the University of Wollongong. All data available to the public can be considered open source. The open data portal software employed here is `CKAN`; more information can be found at http://ckan.org/.'
ckan.site_logo	`'niasra-logo.png'`
ckan.site_title	`'NIASRA'`
ckan.site_url	`'https://hpc.niasra.uow.edu.au'`
ckan.static_max_age	`3600`
ckan.storage_path	`'/var/lib/ckan/default'`
ckan.template_title_delimiter	`'-'`
ckan.theme	`'css/main'`
ckan.upload.group.mimetypes	`['image/png', 'image/gif', 'image/jpeg']`
ckan.upload.group.types	`['image']`
ckan.upload.user.mimetypes	`['image/png', 'image/gif', 'image/jpeg']`
ckan.upload.user.types	`['image']`
ckan.user.last_active_interval	`600`
ckan.user_list_limit	`20`
ckan.user_reset_landing_page	`'home.index'`
ckan.valid_url_schemes	`['http', 'https', 'ftp']`
ckan.views.default_views	`['image_view', 'datatables_view']`
ckan.webassets.path	`''`
ckan.webassets.url	`'/webassets'`
ckan.webassets.use_x_sendfile	`False`
clear_logo_upload	`''`
computed_template_paths	`['/usr/lib/ckan/default/lib/python3.10/site-packages/ckanext/activity/templates', '/usr/lib/ckan/default/lib/python3.10/site-packages/ckanext/datastore/templates', '/usr/lib/ckan/default/lib/python3.10/site-packages/ckan/templates']`
config.mode	`'strict'`
DEBUG	`True`
debug	`True`
DEBUG_TB_ENABLED	`True`
DEBUG_TB_HOSTS	`()`
DEBUG_TB_INTERCEPT_REDIRECTS	`False`
DEBUG_TB_PANELS	('flask_debugtoolbar.panels.versions.VersionDebugPanel', 'flask_debugtoolbar.panels.timer.TimerDebugPanel', 'flask_debugtoolbar.panels.headers.HeaderDebugPanel', 'flask_debugtoolbar.panels.request_vars.RequestVarsDebugPanel', 'flask_debugtoolbar.panels.config_vars.ConfigVarsDebugPanel', 'flask_debugtoolbar.panels.template.TemplateDebugPanel', 'flask_debugtoolbar.panels.sqlalchemy.SQLAlchemyDebugPanel', 'flask_debugtoolbar.panels.logger.LoggingPanel', 'flask_debugtoolbar.panels.route_list.RouteListDebugPanel', 'flask_debugtoolbar.panels.profiler.ProfilerDebugPanel', 'flask_debugtoolbar.panels.g.GDebugPanel')
email_to	`''`
error_email_from	`''`
EXPLAIN_TEMPLATE_LOADING	`False`
extra_public_paths	`''`
extra_template_paths	`''`
here	`'/etc/ckan/default'`
licenses_group_url	`''`
logo_upload	`''`
MAX_CONTENT_LENGTH	`None`
MAX_COOKIE_SIZE	`4093`
package_edit_return_url	`''`
package_hide_extras	`[]`
package_new_return_url	`''`
PERMANENT_SESSION_LIFETIME	`31536000`
plugin_public_paths	`['/usr/lib/ckan/default/lib/python3.10/site-packages/ckanext/activity/public']`
plugin_template_paths	`['/usr/lib/ckan/default/lib/python3.10/site-packages/ckanext/activity/templates', '/usr/lib/ckan/default/lib/python3.10/site-packages/ckanext/datastore/templates']`
PREFERRED_URL_SCHEME	`'http'`
PROPAGATE_EXCEPTIONS	`None`
REMEMBER_COOKIE_DOMAIN	`None`
REMEMBER_COOKIE_DURATION	`31536000`
REMEMBER_COOKIE_HTTPONLY	`True`
REMEMBER_COOKIE_NAME	`'remember_token'`
REMEMBER_COOKIE_PATH	`'/'`
REMEMBER_COOKIE_REFRESH_EACH_REQUEST	`False`
REMEMBER_COOKIE_SAMESITE	`'None'`
REMEMBER_COOKIE_SECURE	`False`
search.facets	`['organization', 'groups', 'tags', 'res_format', 'license_id']`
search.facets.default	`10`
search.facets.limit	`50`
SECRET_KEY	`'OuonVd5Md43IixzaojMJc6OV1Pk'`
SEND_FILE_MAX_AGE_DEFAULT	`None`
SERVER_NAME	`None`
SESSION_COOKIE_DOMAIN	`''`
SESSION_COOKIE_HTTPONLY	`True`
SESSION_COOKIE_NAME	`'ckan'`
SESSION_COOKIE_PATH	`''`
SESSION_COOKIE_SAMESITE	`'Lax'`
SESSION_COOKIE_SECURE	`False`
SESSION_KEY_PREFIX	`'session:'`
SESSION_PERMANENT	`True`
SESSION_REFRESH_EACH_REQUEST	`False`
SESSION_TYPE	`'cookie'`
SESSION_USE_SIGNER	`False`
smtp.mail_from	`''`
smtp.password	`''`
smtp.reply_to	`''`
smtp.server	`'localhost'`
smtp.starttls	`False`
smtp.user	`''`
solr_password	`''`
solr_timeout	`60`
solr_url	`'http://192.168.122.4:8983/solr/ckan'`
solr_user	`''`
sqlalchemy.pool_pre_ping	`True`
sqlalchemy.url	`'postgresql://ckan_default:ckanniasra123!@localhost/ckan_default'`
SQLALCHEMY_RECORD_QUERIES	`True`
TEMPLATES_AUTO_RELOAD	`None`
TESTING	`False`
testing	`False`
TRAP_BAD_REQUEST_ERRORS	`None`
TRAP_HTTP_EXCEPTIONS	`False`
use	`'egg:ckan'`
USE_X_SENDFILE	`False`
WTF_CSRF_CHECK_DEFAULT	`True`
WTF_CSRF_ENABLED	`True`
WTF_CSRF_FIELD_NAME	`'_csrf_token'`
WTF_CSRF_HEADERS	`['X-CSRFToken', 'X-CSRF-Token']`
WTF_CSRF_METHODS	`{'PUT', 'DELETE', 'POST', 'PATCH'}`
WTF_CSRF_SECRET_KEY	`'string:OuonVd5Md43IixzaojMJc6OV1Pk'`
WTF_CSRF_SSL_STRICT	`True`
WTF_CSRF_TIME_LIMIT	`3600`
WTF_I18N_ENABLED	`True`

URL route	Endpoint name	HTTP methods	Is alias	Redirect to
/	home.index	GET, HEAD, OPTIONS	False	None
/<path:filename>	static	GET, HEAD, OPTIONS	False	None
/about	home.about	GET, HEAD, OPTIONS	False	None
/api/	api.get_api	GET, HEAD, OPTIONS	False	None
/api/<int(min=1, max=2):ver>/i18n/<lang>	api.i18n_js_translations	GET, HEAD, OPTIONS	False	None
/api/<int(min=1, max=2):ver>/util/dataset/autocomplete	api.dataset_autocomplete	GET, HEAD, OPTIONS	False	None
/api/<int(min=1, max=2):ver>/util/group/autocomplete	api.group_autocomplete	GET, HEAD, OPTIONS	False	None
/api/<int(min=1, max=2):ver>/util/organization/autocomplete	api.organization_autocomplete	GET, HEAD, OPTIONS	False	None
/api/<int(min=1, max=2):ver>/util/resource/format_autocomplete	api.format_autocomplete	GET, HEAD, OPTIONS	False	None
/api/<int(min=1, max=2):ver>/util/snippet/<snippet_path>	api.snippet	GET, HEAD, OPTIONS	False	None
/api/<int(min=1, max=2):ver>/util/tag/autocomplete	api.tag_autocomplete	GET, HEAD, OPTIONS	False	None
/api/<int(min=1, max=2):ver>/util/user/autocomplete	api.user_autocomplete	GET, HEAD, OPTIONS	False	None
/api/<int(min=1, max=3):ver>	api.get_api	GET, HEAD, OPTIONS	False	None
/api/<int(min=3, max=3):ver>/action/<logic_function>	api.action	GET, HEAD, OPTIONS, POST	False	None
/api/action/<logic_function>	api.action	GET, HEAD, OPTIONS, POST	False	None
/api/i18n/<lang>	api.i18n_js_translations	GET, HEAD, OPTIONS	False	None
/api/util/dataset/autocomplete	api.dataset_autocomplete	GET, HEAD, OPTIONS	False	None
/api/util/group/autocomplete	api.group_autocomplete	GET, HEAD, OPTIONS	False	None
/api/util/organization/autocomplete	api.organization_autocomplete	GET, HEAD, OPTIONS	False	None
/api/util/resource/format_autocomplete	api.format_autocomplete	GET, HEAD, OPTIONS	False	None
/api/util/snippet/<snippet_path>	api.snippet	GET, HEAD, OPTIONS	False	None
/api/util/tag/autocomplete	api.tag_autocomplete	GET, HEAD, OPTIONS	False	None
/api/util/user/autocomplete	api.user_autocomplete	GET, HEAD, OPTIONS	False	None
/ckan-admin/	admin.index	GET, HEAD, OPTIONS	False	None
/ckan-admin/config	admin.config	GET, HEAD, OPTIONS, POST	False	None
/ckan-admin/reset_config	admin.reset_config	GET, HEAD, OPTIONS, POST	False	None
/ckan-admin/trash	admin.trash	GET, HEAD, OPTIONS, POST	False	None
/ckan/_debug_toolbar/static/<path:filename>	_debug_toolbar.static	GET, HEAD, OPTIONS	False	None
/dashboard/	activity.dashboard	GET, HEAD, OPTIONS	False	None
/dashboard/datasets	dashboard.datasets	GET, HEAD, OPTIONS	False	None
/dashboard/groups	dashboard.groups	GET, HEAD, OPTIONS	False	None
/dashboard/organizations	dashboard.organizations	GET, HEAD, OPTIONS	False	None
/dataset/	dataset.search	GET, HEAD, OPTIONS	False	None
/dataset/<id>	dataset.read	GET, HEAD, OPTIONS	False	None
/dataset/<id>/dictionary/<resource_id>	datastore.dictionary	GET, HEAD, OPTIONS, POST	False	None
/dataset/<id>/history/<activity_id>	activity.package_history	GET, HEAD, OPTIONS	False	None
/dataset/<id>/resource/<resource_id>	dataset_resource.read	GET, HEAD, OPTIONS	False	None
/dataset/<id>/resource/<resource_id>	resource.read	GET, HEAD, OPTIONS	False	None
/dataset/<id>/resource/<resource_id>/delete	dataset_resource.delete	GET, HEAD, OPTIONS, POST	False	None
/dataset/<id>/resource/<resource_id>/delete	resource.delete	GET, HEAD, OPTIONS, POST	False	None
/dataset/<id>/resource/<resource_id>/download	dataset_resource.download	GET, HEAD, OPTIONS	False	None
/dataset/<id>/resource/<resource_id>/download	resource.download	GET, HEAD, OPTIONS	False	None
/dataset/<id>/resource/<resource_id>/download/<filename>	dataset_resource.download	GET, HEAD, OPTIONS	False	None
/dataset/<id>/resource/<resource_id>/download/<filename>	resource.download	GET, HEAD, OPTIONS	False	None
/dataset/<id>/resource/<resource_id>/edit	dataset_resource.edit	GET, HEAD, OPTIONS, POST	False	None
/dataset/<id>/resource/<resource_id>/edit	resource.edit	GET, HEAD, OPTIONS, POST	False	None
/dataset/<id>/resource/<resource_id>/edit_view/<view_id>	dataset_resource.edit_view	GET, HEAD, OPTIONS, POST	False	None
/dataset/<id>/resource/<resource_id>/edit_view/<view_id>	resource.edit_view	GET, HEAD, OPTIONS, POST	False	None
/dataset/<id>/resource/<resource_id>/new_view	dataset_resource.edit_view	GET, HEAD, OPTIONS, POST	False	None
/dataset/<id>/resource/<resource_id>/new_view	resource.edit_view	GET, HEAD, OPTIONS, POST	False	None
/dataset/<id>/resource/<resource_id>/view	dataset_resource.view	GET, HEAD, OPTIONS	False	None
/dataset/<id>/resource/<resource_id>/view	resource.view	GET, HEAD, OPTIONS	False	None
/dataset/<id>/resource/<resource_id>/view/<view_id>	dataset_resource.view	GET, HEAD, OPTIONS	False	None
/dataset/<id>/resource/<resource_id>/view/<view_id>	resource.view	GET, HEAD, OPTIONS	False	None
/dataset/<id>/resource/<resource_id>/views	dataset_resource.views	GET, HEAD, OPTIONS	False	None
/dataset/<id>/resource/<resource_id>/views	resource.views	GET, HEAD, OPTIONS	False	None
/dataset/<id>/resource/new	dataset_resource.new	GET, HEAD, OPTIONS, POST	False	None
/dataset/<id>/resource/new	resource.new	GET, HEAD, OPTIONS, POST	False	None
/dataset/<id>/resources/<resource_id>/history/<activity_id>	activity.resource_history	GET, HEAD, OPTIONS	False	None
/dataset/activity/<id>	activity.package_activity	GET, HEAD, OPTIONS	False	None
/dataset/changes/<id>	activity.package_changes	GET, HEAD, OPTIONS	False	None
/dataset/changes_multiple	activity.package_changes_multiple	GET, HEAD, OPTIONS	False	None
/dataset/collaborators/<id>	dataset.collaborators_read	GET, HEAD, OPTIONS	False	None
/dataset/collaborators/<id>/delete/<user_id>	dataset.collaborator_delete	GET, HEAD, OPTIONS, POST	False	None
/dataset/collaborators/<id>/new	dataset.new_collaborator	GET, HEAD, OPTIONS, POST	False	None
/dataset/delete/<id>	dataset.delete	GET, HEAD, OPTIONS, POST	False	None
/dataset/edit/<id>	dataset.edit	GET, HEAD, OPTIONS, POST	False	None
/dataset/follow/<id>	dataset.follow	OPTIONS, POST	False	None
/dataset/followers/<id>	dataset.followers	GET, HEAD, OPTIONS	False	None
/dataset/groups/<id>	dataset.groups	GET, HEAD, OPTIONS, POST	False	None
/dataset/new	dataset.new	GET, HEAD, OPTIONS, POST	False	None
/dataset/resources/<id>	dataset.resources	GET, HEAD, OPTIONS	False	None
/dataset/unfollow/<id>	dataset.unfollow	OPTIONS, POST	False	None
/datastore/dump/<resource_id>	datastore.dump	GET, HEAD, OPTIONS	False	None
/feeds/custom.atom	feeds.custom	GET, HEAD, OPTIONS	False	None
/feeds/dataset.atom	feeds.general	GET, HEAD, OPTIONS	False	None
/feeds/group/<string:id>.atom	feeds.group	GET, HEAD, OPTIONS	False	None
/feeds/organization/<string:id>.atom	feeds.organization	GET, HEAD, OPTIONS	False	None
/feeds/tag/<string:id>.atom	feeds.tag	GET, HEAD, OPTIONS	False	None
/group/	group.index	GET, HEAD, OPTIONS	False	None
/group/<id>	group.read	GET, HEAD, OPTIONS	False	None
/group/about/<id>	group.about	GET, HEAD, OPTIONS	False	None
/group/activity/<id>	activity.group_activity	GET, HEAD, OPTIONS	False	None
/group/admins/<id>	group.admins	GET, HEAD, OPTIONS, POST	False	None
/group/bulk_process/<id>	group.bulk_process	GET, HEAD, OPTIONS, POST	False	None
/group/changes/<id>	activity.group_changes	GET, HEAD, OPTIONS	False	None
/group/changes_multiple	activity.group_changes_multiple	GET, HEAD, OPTIONS	False	None
/group/delete/<id>	group.delete	GET, HEAD, OPTIONS, POST	False	None
/group/edit/<id>	group.edit	GET, HEAD, OPTIONS, POST	False	None
/group/follow/<id>	group.follow	OPTIONS, POST	False	None
/group/followers/<id>	group.followers	GET, HEAD, OPTIONS, POST	False	None
/group/manage_members/<id>	group.manage_members	GET, HEAD, OPTIONS, POST	False	None
/group/member_delete/<id>	group.member_delete	GET, HEAD, OPTIONS, POST	False	None
/group/member_dump/<id>	group.member_dump	GET, HEAD, OPTIONS	False	None
/group/member_new/<id>	group.member_new	GET, HEAD, OPTIONS, POST	False	None
/group/members/<id>	group.members	GET, HEAD, OPTIONS	False	None
/group/new	group.new	GET, HEAD, OPTIONS, POST	False	None
/group/unfollow/<id>	group.unfollow	OPTIONS, POST	False	None
/no/	home.redirect_locale	GET, HEAD, OPTIONS	False	None
/no/<path:path>	home.redirect_locale	GET, HEAD, OPTIONS	False	None
/organization/	organization.index	GET, HEAD, OPTIONS	False	None
/organization/<id>	organization.read	GET, HEAD, OPTIONS	False	None
/organization/about/<id>	organization.about	GET, HEAD, OPTIONS	False	None
/organization/activity/<id>	activity.organization_activity	GET, HEAD, OPTIONS	False	None
/organization/admins/<id>	organization.admins	GET, HEAD, OPTIONS, POST	False	None
/organization/bulk_process/<id>	organization.bulk_process	GET, HEAD, OPTIONS, POST	False	None
/organization/changes/<id>	activity.organization_changes	GET, HEAD, OPTIONS	False	None
/organization/changes_multiple	activity.organization_changes_multiple	GET, HEAD, OPTIONS	False	None
/organization/delete/<id>	organization.delete	GET, HEAD, OPTIONS, POST	False	None
/organization/edit/<id>	organization.edit	GET, HEAD, OPTIONS, POST	False	None
/organization/follow/<id>	organization.follow	OPTIONS, POST	False	None
/organization/followers/<id>	organization.followers	GET, HEAD, OPTIONS, POST	False	None
/organization/manage_members/<id>	organization.manage_members	GET, HEAD, OPTIONS, POST	False	None
/organization/member_delete/<id>	organization.member_delete	GET, HEAD, OPTIONS, POST	False	None
/organization/member_dump/<id>	organization.member_dump	GET, HEAD, OPTIONS	False	None
/organization/member_new/<id>	organization.member_new	GET, HEAD, OPTIONS, POST	False	None
/organization/members/<id>	organization.members	GET, HEAD, OPTIONS	False	None
/organization/new	organization.new	GET, HEAD, OPTIONS, POST	False	None
/organization/unfollow/<id>	organization.unfollow	OPTIONS, POST	False	None
/robots.txt	home.robots_txt	GET, HEAD, OPTIONS	False	None
/testing/primer	util.primer	GET, HEAD, OPTIONS	False	None
/user/	user.index	GET, HEAD, OPTIONS	False	None
/user/<id>	user.read	GET, HEAD, OPTIONS	False	None
/user/<id>/api-tokens	user.api_tokens	GET, HEAD, OPTIONS, POST	False	None
/user/<id>/api-tokens/<jti>/revoke	user.api_token_revoke	OPTIONS, POST	False	None
/user/<id>/groups	user.read_groups	GET, HEAD, OPTIONS	False	None
/user/<id>/organizations	user.read_organizations	GET, HEAD, OPTIONS	False	None
/user/_logout	user.logout	GET, HEAD, OPTIONS, POST	False	None
/user/activity/<id>	activity.user_activity	GET, HEAD, OPTIONS	False	None
/user/delete/<id>	user.delete	GET, HEAD, OPTIONS, POST	False	None
/user/edit	user.edit	GET, HEAD, OPTIONS, POST	False	None
/user/edit/<id>	user.edit	GET, HEAD, OPTIONS, POST	False	None
/user/follow/<id>	user.follow	OPTIONS, POST	False	None
/user/followers/<id>	user.followers	GET, HEAD, OPTIONS	False	None
/user/logged_out_redirect	user.logged_out_page	GET, HEAD, OPTIONS	False	None
/user/login	user.login	GET, HEAD, OPTIONS, POST	False	None
/user/me	user.me	GET, HEAD, OPTIONS	False	None
/user/register	user.register	GET, HEAD, OPTIONS, POST	False	None
/user/reset	user.request_reset	GET, HEAD, OPTIONS, POST	False	None
/user/reset/<id>	user.perform_reset	GET, HEAD, OPTIONS, POST	False	None
/user/sysadmin	user.sysadmin	OPTIONS, POST	False	None
/user/unfollow/<id>	user.unfollow	OPTIONS, POST	False	None
/util/redirect	util.internal_redirect	GET, HEAD, OPTIONS, POST	False	None
/webassets/<path:path>	webassets.index	GET, HEAD, OPTIONS	False	None
/zh_CN/	home.redirect_locale	GET, HEAD, OPTIONS	False	None
/zh_CN/<path:path>	home.redirect_locale	GET, HEAD, OPTIONS	False	None
/zh_TW/	home.redirect_locale	GET, HEAD, OPTIONS	False	None
/zh_TW/<path:path>	home.redirect_locale	GET, HEAD, OPTIONS	False	None