Sleipner 2019 Benchmark Model - Velocity maps, trends surfaces

Description

Contains: - depth surfaces - extracted interval velocity maps - HUM interval velocity trends - HUM isochrons deep reflectors

Additional information

Field	Value
Data last updated	January 10, 2020
Metadata last updated	January 10, 2020
Created	January 10, 2020
Data category	3.1.0 - Velocity models
Download format	ZIP
License	SLEIPNER CO2 REFERENCE DATASET LICENSE
Data format	RMS
size	8.9 MiB

Field

Value

Data last updated

January 10, 2020

Metadata last updated

January 10, 2020

Created

January 10, 2020

Data category

3.1.0 - Velocity models

Download format

ZIP

License

SLEIPNER CO2 REFERENCE DATASET LICENSE

Data format

RMS

size

8.9 MiB

Package	Version	Homepage	Summary
alabaster	0.7.16	None	A light, configurable Sphinx theme
alembic	1.13.2	https://alembic.sqlalchemy.org	A database migration tool for SQLAlchemy.
argparse	1.4.0	https://github.com/ThomasWaldmann/argparse/	Python command-line parsing library
arrow	1.3.0	None	Better dates & times for Python
asttokens	3.0.0	https://github.com/gristlabs/asttokens	Annotate AST trees with source code positions
async-timeout	4.0.3	https://github.com/aio-libs/async-timeout	Timeout context manager for asyncio programs
Babel	2.15.0	https://babel.pocoo.org/	Internationalization utilities
beautifulsoup4	4.12.3	None	Screen-scraping library
binaryornot	0.4.4	https://github.com/audreyr/binaryornot	Ultra-lightweight pure Python package to check if a file is binary or text.
bleach	6.1.0	https://github.com/mozilla/bleach	An easy safelist-based HTML-sanitizing tool.
blinker	1.8.2	None	Fast, simple object-to-object and broadcast signaling
build	1.2.2.post1	None	A simple, correct Python build frontend
cachelib	0.13.0	https://github.com/pallets-eco/cachelib/	A collection of cache libraries in the same API interface.
certifi	2024.7.4	https://github.com/certifi/python-certifi	Python package for providing Mozilla's CA Bundle.
chardet	5.2.0	https://github.com/chardet/chardet	Universal encoding detector for Python 3
charset-normalizer	3.3.2	https://github.com/Ousret/charset_normalizer	The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet.
ckan	2.11.0	http://ckan.org/	CKAN Software
ckanext-co2datashare	0.0.1	https://github.com/oddan/ckanext-co2datashare	None
ckanext-envvars	0.0.6	https://github.com/okfn/ckanext-envvars	CKAN configuration settings available from env vars
ckanext-spatial	2.3.1	None	Geo-related plugins for CKAN
ckantoolkit	0.0.7	https://github.com/ckan/ckantoolkit	None
click	8.1.7	https://palletsprojects.com/p/click/	Composable command line interface toolkit
cookiecutter	2.6.0	https://github.com/cookiecutter/cookiecutter	A command-line utility that creates projects from project templates, e.g. creating a Python package project from a Python package project template.
country_list	1.1.0	https://github.com/bulv1ne/country_list/	List of all countries with names and ISO 3166-1 codes in all languages
coverage	7.6.8	https://github.com/nedbat/coveragepy	Code coverage measurement for Python
coveralls	4.0.1	http://github.com/TheKevJames/coveralls-python	Show coverage stats online via coveralls.io
decorator	5.1.1	https://github.com/micheles/decorator	Decorators for Humans
docopt	0.6.2	http://docopt.org	Pythonic argument parser, that will make you smile
docutils	0.20.1	https://docutils.sourceforge.io/	Docutils -- Python Documentation Utilities
dominate	2.9.1	None	Dominate is a Python library for creating and manipulating HTML documents using an elegant DOM API.
exceptiongroup	1.2.2	None	Backport of PEP 654 (exception groups)
executing	2.1.0	https://github.com/alexmojaki/executing	Get the currently executing AST node of a frame, and other information
factory-boy	3.3.0	https://github.com/FactoryBoy/factory_boy	A versatile test fixtures replacement based on thoughtbot's factory_bot for Ruby.
Faker	26.0.0	https://github.com/joke2k/faker	Faker is a Python package that generates fake data for you.
feedgen	1.0.0	https://lkiesow.github.io/python-feedgen	Feed Generator (ATOM, RSS, Podcasts)
Flask	3.0.3	None	A simple framework for building complex web applications.
flask-babel	4.0.0	https://github.com/python-babel/flask-babel	Adds i18n/l10n support for Flask applications.
Flask-DebugToolbar	0.15.1	https://github.com/pallets-eco/flask-debugtoolbar	A toolbar overlay for debugging Flask applications.
Flask-Login	0.6.3	https://github.com/maxcountryman/flask-login	User authentication and session management for Flask.
Flask-Session	0.8.0	None	Server-side session support for Flask
Flask-WTF	1.2.1	None	Form rendering, validation, and CSRF protection for Flask with WTForms.
freezegun	1.5.1	https://github.com/spulec/freezegun	Let your Python tests travel through time
geojson	3.1.0	https://github.com/jazzband/geojson	Python bindings and utilities for GeoJSON
greenlet	3.0.3	https://greenlet.readthedocs.io/	Lightweight in-process concurrent programming
idna	3.7	None	Internationalized Domain Names in Applications (IDNA)
imagesize	1.4.1	https://github.com/shibukawa/imagesize_py	Getting image size from png/jpeg/jpeg2000/gif file
importlib_metadata	8.0.0	None	Read metadata from Python packages
incremental	24.7.2	None	A small library that versions your Python projects.
inflection	0.5.1	https://github.com/jpvanhal/inflection	A port of Ruby on Rails inflector to Python
iniconfig	2.0.0	None	brain-dead simple config-ini parsing
ipdb	0.13.13	https://github.com/gotcha/ipdb	IPython-enabled pdb
ipython	8.30.0	None	IPython: Productive Interactive Computing
itsdangerous	2.2.0	None	Safely pass data to untrusted environments and back.
jedi	0.19.2	https://github.com/davidhalter/jedi	An autocompletion tool for Python that can be used for text editors.
Jinja2	3.1.4	None	A very fast and expressive template engine.
lxml	5.2.2	https://lxml.de/	Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API.
Mako	1.3.5	https://www.makotemplates.org/	A super-fast templating language that borrows the best ideas from the existing templating languages.
Markdown	3.6	None	Python implementation of John Gruber's Markdown.
markdown-it-py	3.0.0	None	Python port of markdown-it. Markdown parsing, done right!
MarkupSafe	2.1.5	https://palletsprojects.com/p/markupsafe/	Safely add untrusted strings to HTML/XML markup.
matplotlib-inline	0.1.7	None	Inline Matplotlib backend for Jupyter
mdurl	0.1.2	None	Markdown URL utilities
msgspec	0.18.6	https://jcristharif.com/msgspec/	A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML.
mypy	1.10.1	https://www.mypy-lang.org/	Optional static typing for Python
mypy-extensions	1.0.0	https://github.com/python/mypy_extensions	Type system extensions for programs checked with the mypy type checker.
numpy	2.2.6	None	Fundamental package for array computing in Python
OWSLib	0.32.0	https://owslib.readthedocs.io	OGC Web Service utility library
packaging	24.1	None	Core utilities for Python packages
parso	0.8.4	https://github.com/davidhalter/parso	A Python Parser
passlib	1.7.4	https://passlib.readthedocs.io	comprehensive password hashing framework supporting over 30 schemes
pexpect	4.9.0	https://pexpect.readthedocs.io/	Pexpect allows easy control of interactive console applications.
pillow	10.4.0	None	Python Imaging Library (Fork)
pip	24.3.1	None	The PyPA recommended tool for installing Python packages.
pip-tools	7.4.1	None	pip-tools keeps your pinned dependencies fresh.
pluggy	1.5.0	https://github.com/pytest-dev/pluggy	plugin and hook calling mechanisms for python
polib	1.2.0	https://github.com/izimobil/polib/	A library to manipulate gettext files (po and mo files).
prompt_toolkit	3.0.48	https://github.com/prompt-toolkit/python-prompt-toolkit	Library for building powerful interactive command lines in Python
psycopg2	2.9.9	https://psycopg.org/	psycopg2 - Python-PostgreSQL Database Adapter
ptyprocess	0.7.0	https://github.com/pexpect/ptyprocess	Run a subprocess in a pseudo terminal
pure_eval	0.2.3	http://github.com/alexmojaki/pure_eval	Safely evaluate AST nodes without side effects
pycountry	26.2.16	None	ISO country, subdivision, language, currency and script definitions and their translations
Pygments	2.18.0	None	Pygments is a syntax highlighting package written in Python.
PyJWT	2.8.0	https://github.com/jpadilla/pyjwt	JSON Web Token implementation in Python
pyparsing	3.1.2	None	pyparsing module - Classes and methods to define and execute parsing grammars
pyproj	3.6.1	https://github.com/pyproj4/pyproj	Python interface to PROJ (cartographic projections and coordinate transformations library)
pyproject_hooks	1.2.0	None	Wrappers to call pyproject.toml-based build backend hooks.
pysolr	3.9.0	https://github.com/django-haystack/pysolr/	Lightweight Python client for Apache Solr
pytest	8.2.2	None	pytest: simple powerful testing with Python
pytest-ckan	0.0.12	https://github.com/datopian/pytest-ckan	Backport of CKAN 2.9 pytest plugin and fixtures to CAKN 2.8
pytest-cov	5.0.0	https://github.com/pytest-dev/pytest-cov	Pytest plugin for measuring coverage.
pytest-factoryboy	2.7.0	https://pytest-factoryboy.readthedocs.io/	Factory Boy support for pytest.
pytest-freezegun	0.4.2	https://github.com/ktosiek/pytest-freezegun	Wrap tests with fixtures in freeze_time
pytest-rerunfailures	14.0	None	pytest plugin to re-run tests to eliminate flaky failures
pytest-split	0.9.0	https://jerry-git.github.io/pytest-split	Pytest plugin which splits the test suite to equally sized sub suites based on test execution time.
python-dateutil	2.9.0.post0	https://github.com/dateutil/dateutil	Extensions to the standard Python datetime module
python-magic	0.4.27	http://github.com/ahupp/python-magic	File type identification using libmagic
python-slugify	8.0.4	https://github.com/un33k/python-slugify	A Python slugify application that also handles Unicode
pytz	2024.1	http://pythonhosted.org/pytz	World timezone definitions, modern and historical
PyYAML	6.0.1	https://pyyaml.org/	YAML parser and emitter for Python
redis	5.0.7	https://github.com/redis/redis-py	Python client for Redis database and key-value store
requests	2.32.3	https://requests.readthedocs.io	Python HTTP for Humans.
responses	0.25.3	https://github.com/getsentry/responses	A utility library for mocking out the `requests` Python library.
rich	13.9.4	https://github.com/Textualize/rich	Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal
rq	1.16.2	None	RQ is a simple, lightweight, library for creating background jobs, and processing them.
setuptools	65.5.1	https://github.com/pypa/setuptools	Easily download, build, install, upgrade, and uninstall Python packages
shapely	2.0.7	None	Manipulation and analysis of geometric objects
simplejson	3.19.2	https://github.com/simplejson/simplejson	Simple, fast, extensible JSON encoder/decoder for Python
six	1.16.0	https://github.com/benjaminp/six	Python 2 and 3 compatibility utilities
snowballstemmer	2.2.0	https://github.com/snowballstem/snowball	This package provides 29 stemmers for 28 languages generated from Snowball algorithms.
soupsieve	2.6	None	A modern CSS selector implementation for Beautiful Soup.
Sphinx	7.3.7	None	Python documentation generator
sphinx-rtd-theme	2.0.0	https://github.com/readthedocs/sphinx_rtd_theme	Read the Docs theme for Sphinx
sphinxcontrib-applehelp	2.0.0	None	sphinxcontrib-applehelp is a Sphinx extension which outputs Apple help books
sphinxcontrib-devhelp	2.0.0	None	sphinxcontrib-devhelp is a sphinx extension which outputs Devhelp documents
sphinxcontrib-htmlhelp	2.1.0	None	sphinxcontrib-htmlhelp is a sphinx extension which renders HTML help files
sphinxcontrib-jquery	4.1	None	Extension to include jQuery on newer Sphinx releases
sphinxcontrib-jsmath	1.0.1	http://sphinx-doc.org/	A sphinx extension which renders display math in HTML via JavaScript
sphinxcontrib-qthelp	2.0.0	None	sphinxcontrib-qthelp is a sphinx extension which outputs QtHelp documents
sphinxcontrib-serializinghtml	2.0.0	None	sphinxcontrib-serializinghtml is a sphinx extension which outputs "serialized" HTML files (json and pickle)
SQLAlchemy	1.4.52	https://www.sqlalchemy.org	Database Abstraction Library
sqlalchemy2-stubs	0.0.2a38	http://www.sqlalchemy.org	Typing Stubs for SQLAlchemy 1.4
sqlparse	0.5.0	None	A non-validating SQL parser.
stack-data	0.6.3	http://github.com/alexmojaki/stack_data	Extract data from python stack frames and tracebacks for informative displays
text-unidecode	1.3	https://github.com/kmike/text-unidecode/	The most basic Text::Unidecode port
toml	0.10.2	https://github.com/uiri/toml	Python Library for Tom's Obvious, Minimal Language
tomli	2.0.1	None	A lil' TOML parser
towncrier	23.11.0	None	Building newsfiles for your project.
traitlets	5.14.3	None	Traitlets Python configuration system
types-python-dateutil	2.9.0.20241003	https://github.com/python/typeshed	Typing stubs for python-dateutil
typing_extensions	4.12.2	None	Backported and Experimental Type Hints for Python 3.8+
tzlocal	5.2	None	tzinfo object for the local timezone
urllib3	2.2.2	None	HTTP library with thread-safe connection pooling, file post, and more.
uWSGI	2.0.28	https://uwsgi-docs.readthedocs.io/en/latest/	The uWSGI server
watchdog	4.0.1	https://github.com/gorakhargosh/watchdog	Filesystem events monitoring
wcwidth	0.2.13	https://github.com/jquast/wcwidth	Measures the displayed width of unicode strings in a terminal
webassets	2.0	http://github.com/miracle2k/webassets/	Media asset management for Python, with glue code for various web frameworks
webencodings	0.5.1	https://github.com/SimonSapin/python-webencodings	Character encoding aliases for legacy web content
Werkzeug	3.0.3	None	The comprehensive WSGI web application library.
wheel	0.45.1	None	A built-package format for Python
WTForms	3.1.2	None	Form validation and rendering for Python web development.
zipp	3.19.2	None	Backport of pathlib-compatible object wrapper for zip files
zope.interface	6.4.post2	https://github.com/zopefoundation/zope.interface	Interfaces for Python

Resource	Value
User CPU time	30.990 msec
System CPU time	4.037 msec
Total CPU time	35.027 msec
Elapsed time	45.924 msec
Context switches	36 voluntary, 0 involuntary

Key	Value
HTTP_ACCEPT	/
HTTP_ACCEPT_ENCODING	gzip, br, zstd, deflate
HTTP_HOST	co2datashare-test.co2.sigma2.no
HTTP_USER_AGENT	Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)
QUERY_STRING
REMOTE_ADDR	10.11.149.86
REQUEST_METHOD	GET
SCRIPT_NAME
SERVER_NAME	0.0.0.0
SERVER_PORT	5000
SERVER_PROTOCOL	HTTP/1.1
SERVER_SOFTWARE	Werkzeug/3.0.3

Variable	Value
'_csrf_token'	'fdbd64fcc3deda308b4698e9d24e01c38c7a5777'
'_permanent'	True
'_fresh'	False

Variable	Value
csrf_token	<function generate_csrf at 0x7f0ea16a84c0>
current_user	<ckan.model.user.AnonymousUser object at 0x7f0ea2cd6d40>
g	<flask.g of 'ckan.config.middleware.flask_app'>
request	<Request 'http://co2datashare-test.co2.sigma2.no/dataset/sleipner-2019-benchmark-model/resource/5506f2f5-17e0-4d73-857a-6dba32fd415c' [GET]>
session	<SecureCookieSession {'_csrf_token': 'fdbd64fcc3deda308b4698e9d24e01c38c7a5777', '_permanent': True, '_fresh': False}>

Velocity maps, trends surfaces

Description

Additional information

Versions

Installed Packages

Resource Usage

HTTP Headers

Request Vars

View information

COOKIES Variables

SESSION Variables

GET Variables

POST Variables

Config

Templates

snippets/csrf_input.html

package/resource_read.html

SQLAlchemy queries

Queries Unavailable

Install required libraries:

Configure Flask-SQLAlchemy:

Log Messages

Route List

Profiler not active

flask.g content

Key	Value
__file__	`'/srv/app/ckan.ini'`
api_token.jwt.algorithm	`'HS256'`
api_token.jwt.decode.secret	`'string:3D88BCA4-3B14-42D2-B9E1-601EF6FE74F0'`
api_token.jwt.encode.secret	`'string:3D88BCA4-3B14-42D2-B9E1-601EF6FE74F0'`
api_token.nbytes	`32`
apitoken_header_name	`'Authorization'`
APPLICATION_ROOT	`'/'`
BABEL_DEFAULT_TIMEZONE	`'UTC'`
BABEL_DOMAIN	`'ckan'`
BABEL_TRANSLATION_DIRECTORIES	`'/srv/app/src/ckan/ckan/i18n'`
beaker.session.secret	`'59CD42CA-2FF3-43ED-A179-1CF7C76365CD'`
ckan.activity_list_limit	`31`
ckan.activity_list_limit_max	`100`
ckan.activity_streams_email_notifications	`False`
ckan.activity_streams_enabled	`False`
ckan.auth.allow_admin_collaborators	`False`
ckan.auth.allow_collaborators_to_change_owner_org	`False`
ckan.auth.allow_dataset_collaborators	`True`
ckan.auth.anon_create_dataset	`False`
ckan.auth.create_dataset_if_not_in_organization	`False`
ckan.auth.create_default_api_keys	`False`
ckan.auth.create_unowned_dataset	`False`
ckan.auth.create_user_via_api	`False`
ckan.auth.create_user_via_web	`True`
ckan.auth.enable_cookie_auth_in_api	`False`
ckan.auth.login_view	`'user.login'`
ckan.auth.public_activity_stream_detail	`False`
ckan.auth.public_user_details	`False`
ckan.auth.reveal_private_datasets	`False`
ckan.auth.roles_that_cascade_to_sub_groups	`['admin']`
ckan.auth.route_after_login	`'dashboard.datasets'`
ckan.auth.user_create_groups	`False`
ckan.auth.user_create_organizations	`False`
ckan.auth.user_delete_groups	`False`
ckan.auth.user_delete_organizations	`False`
ckan.base_public_folder	`'public'`
ckan.base_templates_folder	`'templates'`
ckan.cache_enabled	`False`
ckan.cache_expires	`0`
ckan.cds_citations_open_citations_api_key	`'df8a5802-0de5-403f-80d4-a7cba2ce86a1'`
ckan.cds_citations_seconds_per_update	`'86400'`
ckan.cds_recaptcha_private_key	`'6Lfvg3csAAAAAHQ1ayQZaJp5foDxScao4DNtlJVe\n'`
ckan.cds_recaptcha_public_key	`'6Lfvg3csAAAAALZzaIyIIPO5CCm9rkqTeGsDzBfu'`
ckan.cdsmetadata.max_zipfile_size	`'5000000000'`
ckan.cors.origin_allow_all	`False`
ckan.cors.origin_whitelist	`[]`
ckan.csrf_protection.ignore_extensions	`True`
ckan.datapusher.callback_url_base	`'http://localhost:5000'`
ckan.datapusher.url	`'http://localhost:8800'`
ckan.dataset.create_on_ui_requires_resources	`True`
ckan.datasets_per_page	`20`
ckan.datatables.data_dictionary_labels	`True`
ckan.datatables.date_format	`'llll'`
ckan.datatables.default_view	`'table'`
ckan.datatables.ellipsis_length	`100`
ckan.datatables.null_label	`''`
ckan.datatables.page_length_choices	`['20', '50', '100', '500', '1000']`
ckan.datatables.state_duration	`7200`
ckan.datatables.state_saving	`True`
ckan.debug_supress_header	`False`
ckan.default.group_type	`'group'`
ckan.default.organization_type	`'organization'`
ckan.default.package_type	`'dataset'`
ckan.default_group_sort	`'title'`
ckan.devserver.host	`'localhost'`
ckan.devserver.multiprocess	`1`
ckan.devserver.port	`5000`
ckan.devserver.ssl_cert	`''`
ckan.devserver.ssl_key	`''`
ckan.devserver.threaded	`False`
ckan.devserver.watch_patterns	`[]`
ckan.display_timezone	`'UTC'`
ckan.download_proxy	`''`
ckan.email_notifications_since	`'2 days'`
ckan.extra_resource_fields	`["['category',", "'purpose',", "'sources',", "'assumptions',", "'dataformat']", 'ekstra', 'category', 'purpose', 'sources', 'assumptions', 'dataformat']`
ckan.favicon	`'/base/images/ckan.ico'`
ckan.featured_groups	`[]`
ckan.featured_orgs	`[]`
ckan.feeds.author_link	`''`
ckan.feeds.author_name	`''`
ckan.feeds.authority_name	`''`
ckan.feeds.date	`''`
ckan.feeds.limit	`20`
ckan.gravatar_default	`'identicon'`
ckan.group_and_organization_list_all_fields_max	`25`
ckan.group_and_organization_list_max	`1000`
ckan.harvest.mq.hostname	`'redis'`
ckan.harvest.mq.port	`'6379'`
ckan.harvest.mq.redis_db	`'1'`
ckan.harvest.mq.type	`'redis'`
ckan.hide_activity_from_users	`['default']`
ckan.hide_version	`False`
ckan.i18n.extra_directory	`''`
ckan.i18n.extra_gettext_domain	`''`
ckan.i18n.extra_locales	`[]`
ckan.i18n.rtl_languages	`['he', 'ar', 'fa_IR']`
ckan.i18n.rtl_theme	`'css/main-rtl'`
ckan.i18n_directory	`''`
ckan.jobs.timeout	`180`
ckan.legacy_route_mappings	`'{}'`
ckan.locale_default	`'en'`
ckan.locale_order	`[]`
ckan.locales_filtered_out	`[]`
ckan.locales_offered	`[]`
ckan.max_image_size	`2`
ckan.max_resource_size	`30000`
ckan.mimetype_guess	`'file_ext'`
ckan.open_citation_api_key	`'df8a5802-0de5-403f-80d4-a7cba2ce86a1'`
ckan.plugins	`['image_view', 'text_view', 'datatables_view', 'envvars', 'spatial_metadata', 'spatial_query', 'cdsstats', 'cdsaccess', 'cdslandingpage', 'cdstheme', 'cdsmetadata', 'cdsresources', 'cdscitations', 'cdssigma2sync']`
ckan.preview.image_formats	`'png jpeg jpg gif'`
ckan.preview.json_formats	`'json'`
ckan.preview.jsonp_formats	`'jsonp'`
ckan.preview.text_formats	`'text/plain txt plain'`
ckan.preview.xml_formats	`'xml rdf rdf+xml owl+xml atom rss'`
ckan.recaptcha.privatekey	`'6Lfvg3csAAAAAHQ1ayQZaJp5foDxScao4DNtlJVe'`
ckan.recaptcha.publickey	`'6Lfvg3csAAAAALZzaIyIIPO5CCm9rkqTeGsDzBfu'`
ckan.redis.url	`'redis://localhost:6379/1'`
ckan.requests.timeout	`5`
ckan.resource_formats	`'/srv/app/src/ckan/ckan/config/resource_formats.json'`
ckan.root_path	`''`
ckan.search.default_include_private	`True`
ckan.search.default_package_sort	`'score desc, metadata_modified desc'`
ckan.search.remove_deleted_packages	`True`
ckan.search.rows_max	`1000`
ckan.search.show_all_types	`'dataset'`
ckan.search.solr_allowed_query_parsers	`['field']`
ckan.search.solr_commit	`True`
ckan.seconds_per_update	`'86400'`
ckan.sigma2_api_key	`'eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJqdGkiOiJQVWtVRGxLRGd2RFdmMEI1ME10TE9BR0R1VWpxbGs1YjZLU3EzSWk0SGFjIiwiaWF0IjoxNzY4ODMyNTk2fQ.5-EN5xmGSXWh20E8qhGUt3HyQ9NLugzg87GfaILLVXg'`
ckan.sigma2_archive_url	`'https://data.archive-sandbox.sigma2.no'`
ckan.sigma2_manifest_filename_template	`'.import-sandbox-archive'`
ckan.sigma2_manifest_storage_location	`'/opt/co2-home/archive_manifest_sandbox'`
ckan.sigma2_vlist_url	`'https://data.archive.sigma2.no/api/3/action/vocabulary_list'`
ckan.site_about	`''`
ckan.site_custom_css	`''`
ckan.site_description	`''`
ckan.site_id	`'default'`
ckan.site_intro_text	`''`
ckan.site_logo	`'/uploads/admin/2020-01-16-150801.171247co2-favicon.png'`
ckan.site_title	`'CO2DataShare'`
ckan.site_url	`'https://co2datashare-test.co2.sigma2.no'`
ckan.static_max_age	`3600`
ckan.storage_path	`'/var/lib/ckan'`
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`
CKAN___API_TOKEN__JWT__DECODE__SECRET	`'string:3D88BCA4-3B14-42D2-B9E1-601EF6FE74F0'`
CKAN___API_TOKEN__JWT__ENCODE__SECRET	`'string:3D88BCA4-3B14-42D2-B9E1-601EF6FE74F0'`
CKAN___BEAKER__SESSION__SECRET	`'59CD42CA-2FF3-43ED-A179-1CF7C76365CD'`
CKAN__CDS_CITATIONS_OPEN_CITATIONS_API_KEY	`'df8a5802-0de5-403f-80d4-a7cba2ce86a1'`
CKAN__CDS_CITATIONS_SECONDS_PER_UPDATE	`'86400'`
CKAN__CDS_RECAPTCHA_PRIVATE_KEY	`'6Lfvg3csAAAAAHQ1ayQZaJp5foDxScao4DNtlJVe\n'`
CKAN__CDS_RECAPTCHA_PUBLIC_KEY	`'6Lfvg3csAAAAALZzaIyIIPO5CCm9rkqTeGsDzBfu'`
CKAN__DATAPUSHER__CALLBACK_URL_BASE	`'http://localhost:5000'`
CKAN__HARVEST__MQ__HOSTNAME	`'redis'`
CKAN__HARVEST__MQ__PORT	`'6379'`
CKAN__HARVEST__MQ__REDIS_DB	`'1'`
CKAN__HARVEST__MQ__TYPE	`'redis'`
CKAN__PLUGINS	`'image_view text_view datatables_view envvars spatial_metadata spatial_query cdsstats cdsaccess cdslandingpage cdstheme cdsmetadata cdsresources cdscitations cdssigma2sync'`
CKAN__SIGMA2_API_KEY	`'eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJqdGkiOiJQVWtVRGxLRGd2RFdmMEI1ME10TE9BR0R1VWpxbGs1YjZLU3EzSWk0SGFjIiwiaWF0IjoxNzY4ODMyNTk2fQ.5-EN5xmGSXWh20E8qhGUt3HyQ9NLugzg87GfaILLVXg'`
CKAN__SIGMA2_ARCHIVE_URL	`'https://data.archive-sandbox.sigma2.no'`
CKAN__SIGMA2_MANIFEST_FILENAME_TEMPLATE	`'.import-sandbox-archive'`
CKAN__SIGMA2_MANIFEST_STORAGE_LOCATION	`'/opt/co2-home/archive_manifest_sandbox'`
CKAN__SIGMA2_VLIST_URL	`'https://data.archive.sigma2.no/api/3/action/vocabulary_list'`
CKAN_CONFIG	`'/srv/app/ckan.ini'`
ckan_config	`'/srv/app/ckan.ini'`
CKAN_DATAPUSHER_URL	`'http://localhost:8800'`
ckan_datapusher_url	`'http://localhost:8800'`
CKAN_DB	`'ckan_default'`
ckan_db	`'ckan_default'`
CKAN_DB_PASSWORD	`'e874-gHy382-czrUne'`
ckan_db_password	`'e874-gHy382-czrUne'`
CKAN_DB_USER	`'ckan_default'`
ckan_db_user	`'ckan_default'`
CKAN_INI	`'/srv/app/ckan.ini'`
ckan_ini	`'/srv/app/ckan.ini'`
CKAN_PORT_HOST	`'5000'`
ckan_port_host	`'5000'`
CKAN_RECAPTCHA_PRIVATE_KEY	`'6Lfvg3csAAAAAHQ1ayQZaJp5foDxScao4DNtlJVe\n'`
ckan_recaptcha_private_key	`'6Lfvg3csAAAAAHQ1ayQZaJp5foDxScao4DNtlJVe\n'`
CKAN_RECAPTCHA_PUBLIC_KEY	`'6Lfvg3csAAAAALZzaIyIIPO5CCm9rkqTeGsDzBfu'`
ckan_recaptcha_public_key	`'6Lfvg3csAAAAALZzaIyIIPO5CCm9rkqTeGsDzBfu'`
CKAN_REDIS_URL	`'redis://localhost:6379/1'`
ckan_redis_url	`'redis://localhost:6379/1'`
CKAN_REF	`'ckan-2.11.0'`
ckan_ref	`'ckan-2.11.0'`
CKAN_SITE_ID	`'default'`
ckan_site_id	`'default'`
CKAN_SITE_URL	`'https://co2datashare-test.co2.sigma2.no'`
ckan_site_url	`'https://co2datashare-test.co2.sigma2.no'`
CKAN_SOLR_URL	`'http://localhost:8983/solr/ckan'`
ckan_solr_url	`'http://localhost:8983/solr/ckan'`
CKAN_SQLALCHEMY_URL	`'postgresql://ckan_default:e874-gHy382-czrUne@co2-ns9641k-co2portal-new-test.pgsql/ckan_default'`
ckan_sqlalchemy_url	`'postgresql://ckan_default:e874-gHy382-czrUne@co2-ns9641k-co2portal-new-test.pgsql/ckan_default'`
CKAN_STORAGE_PATH	`'/var/lib/ckan'`
ckan_storage_path	`'/var/lib/ckan'`
CKAN_SYSADMIN_NAME	`'ckan_admin'`
ckan_sysadmin_name	`'ckan_admin'`
CKAN_SYSADMIN_PASSWORD	`'C056582D-838B-4862-97DE-A01B832792DF'`
ckan_sysadmin_password	`'C056582D-838B-4862-97DE-A01B832792DF'`
CKAN_VERSION	`'2.11.0'`
ckan_version	`'2.11.0'`
ckanext.spatial.common_map.apikey	`'<your_api_key>'`
ckanext.spatial.common_map.type	`'Stadia.StamenTerrain'`
ckanext.spatial.search_backend	`'solr-spatial-field'`
clear_logo_upload	`''`
computed_template_paths	['/srv/app/src/ckan/ckanext/imageview/theme/templates', '/srv/app/src/ckan/ckanext/textview/templates', '/srv/app/src/ckan/ckanext/datatablesview/templates', '/srv/app/src/ckanext-spatial/ckanext/spatial/templates', '/srv/app/src/ckanext-co2datashare/ckanext/co2datashare/templates/stats', '/srv/app/src/ckanext-co2datashare/ckanext/co2datashare/templates/access', '/srv/app/src/ckanext-co2datashare/ckanext/co2datashare/templates/landing_page', '/srv/app/src/ckanext-co2datashare/ckanext/co2datashare/templates/theme', '/srv/app/src/ckanext-co2datashare/ckanext/co2datashare/templates/front_page', '/srv/app/src/ckanext-co2datashare/ckanext/co2datashare/templates/cdsmetadata', '/srv/app/src/ckanext-co2datashare/ckanext/co2datashare/templates/cdscitations', '/srv/app/src/ckanext-co2datashare/ckanext/co2datashare/templates/sigma2sync', '/srv/app/src/ckan/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	`'/srv/app'`
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	`['/srv/app/src/ckanext-spatial/ckanext/spatial/public', '/var/lib/ckan/default/landing_pages', '/srv/app/src/ckanext-co2datashare/ckanext/co2datashare/public']`
plugin_template_paths	['/srv/app/src/ckan/ckanext/imageview/theme/templates', '/srv/app/src/ckan/ckanext/textview/templates', '/srv/app/src/ckan/ckanext/datatablesview/templates', '/srv/app/src/ckanext-spatial/ckanext/spatial/templates', '/srv/app/src/ckanext-co2datashare/ckanext/co2datashare/templates/stats', '/srv/app/src/ckanext-co2datashare/ckanext/co2datashare/templates/access', '/srv/app/src/ckanext-co2datashare/ckanext/co2datashare/templates/landing_page', '/srv/app/src/ckanext-co2datashare/ckanext/co2datashare/templates/theme', '/srv/app/src/ckanext-co2datashare/ckanext/co2datashare/templates/front_page', '/srv/app/src/ckanext-co2datashare/ckanext/co2datashare/templates/cdsmetadata', '/srv/app/src/ckanext-co2datashare/ckanext/co2datashare/templates/cdscitations', '/srv/app/src/ckanext-co2datashare/ckanext/co2datashare/templates/sigma2sync']
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	`'QzB1LvP6djDZ3BKtZAfXyaL2DNsO9QjRVn41s3Uuaik'`
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://localhost:8983/solr/ckan'`
solr_user	`''`
sqlalchemy.pool_pre_ping	`True`
sqlalchemy.url	`'postgresql://ckan_default:e874-gHy382-czrUne@co2-ns9641k-co2portal-new-test.pgsql/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	`{'PATCH', 'POST', 'DELETE', 'PUT'}`
WTF_CSRF_SECRET_KEY	`'35LT6h9qh9EcuKRK7Yo2eUbbmqR3J6hChEEzc6B2ktI'`
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
/cdssigma2sync/transfer_package_sigma2/<pkg_name>	cdssigma2sync.transfer_package_sigma2	GET, HEAD, OPTIONS, POST	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
/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>	cdslandingpage.register_download	OPTIONS, POST	False	None
/dataset/<id>	dataset.read	GET, HEAD, OPTIONS	False	None
/dataset/<id>/resource/<resource_id>	cdslandingpage.single_download_filename	OPTIONS, POST	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/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
/datatables/ajax/<resource_view_id>	datatablesview.ajax	OPTIONS, POST	False	None
/datatables/filtered-download/<resource_view_id>	datatablesview.filtered_download	OPTIONS, POST	False	None
/edit/<id>	cdsmetadata._edit_user	GET, HEAD, OPTIONS, POST	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
/grant_rights/<id>	cdsaccess.grant_rights	GET, HEAD, OPTIONS, POST	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/admins/<id>	group.admins	GET, HEAD, OPTIONS, POST	False	None
/group/bulk_process/<id>	group.bulk_process	GET, HEAD, OPTIONS, POST	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
/landing_page_upload/<pkg_name>	cdslandingpage.landing_page_upload	GET, HEAD, OPTIONS, POST	False	None
/metadata/category_metadata	cdsmetadata._edit_category_metadata	GET, HEAD, OPTIONS, POST	False	None
/metadata/dataformat	cdsmetadata._edit_dataformat	GET, HEAD, OPTIONS, POST	False	None
/metadata/dataformat_list	cdsmetadata.dataformat_list	GET, HEAD, OPTIONS	False	None
/metadata/license	cdsmetadata._edit_license	GET, HEAD, OPTIONS, POST	False	None
/metadata/license_list	cdsmetadata.license_list	GET, HEAD, OPTIONS	False	None
/metadata/person	cdsmetadata._edit_person	GET, HEAD, OPTIONS, POST	False	None
/metadata/person_list	cdsmetadata.person_list	GET, HEAD, OPTIONS	False	None
/metadata/publication	cdsmetadata._edit_publication	GET, HEAD, OPTIONS, POST	False	None
/metadata/publication_list	cdsmetadata.publication_list	GET, HEAD, OPTIONS	False	None
/multiple_download	cdslandingpage.multiple_download	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/admins/<id>	organization.admins	GET, HEAD, OPTIONS, POST	False	None
/organization/bulk_process/<id>	organization.bulk_process	GET, HEAD, OPTIONS, POST	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
/statistics/<pkg_name>	cdsstats.show_statistics	GET, HEAD, OPTIONS	False	None
/statistics/reset/<pkg_name>	cdsstats.reset_statistics	GET, HEAD, OPTIONS, POST	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/delete/<id>	cdsmetadata._delete_user_override	OPTIONS, POST	False	None
/user/delete/<id>	user.delete	GET, HEAD, OPTIONS, POST	False	None
/user/edit	cdsmetadata._edit_user	GET, HEAD, OPTIONS, POST	False	None
/user/edit	user.edit	GET, HEAD, OPTIONS, POST	False	None
/user/edit/<id>	cdsmetadata._edit_user	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	cdsmetadata._register_user	GET, HEAD, OPTIONS, POST	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
/user_agreement	cdsmetadata.user_agreement	GET, HEAD, OPTIONS	False	None
/util/redirect	util.internal_redirect	GET, HEAD, OPTIONS, POST	False	None
/view/dataformat/<id>/	cdsmetadata.view_dataformat	GET, HEAD, OPTIONS	False	None
/view/license/<id>	cdsmetadata.view_license	GET, HEAD, OPTIONS	False	None
/view/person/<id>	cdsmetadata.view_person_info	GET, HEAD, OPTIONS	False	None
/view/publication/<id>	cdsmetadata.view_publication	GET, HEAD, OPTIONS	False	None
/view/resource_categories	cdsmetadata.resource_categories	GET, HEAD, OPTIONS	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

Variable	Value
csrf_token	<function generate_csrf at 0x7f0ea16a84c0>
current_resource_view	None
current_user	<ckan.model.user.AnonymousUser object at 0x7f0ea2cd6d40>
dataset_type	'dataset'
g	<flask.g of 'ckan.config.middleware.flask_app'>
package	{'access_level': 'Open', 'author': None, 'author_email': None, 'cdslicense': '5c681b1f-04af-4c09-8ec0-febb16ce6fc8', 'creator_user_id': '64d73371-6647-441f-a8de-45dd214b1bd1', 'doi': '10.11582/2020.00004', 'id': 'e6f67cbd-abf3-4d85-a118-ed386a994c2c', 'isopen': False, 'license_id': None, 'license_title': None, 'location': [1.91, 58.36], 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2020-01-10T14:11:23.285666', 'metadata_modified': '2022-10-13T10:30:42.030145', 'name': 'sleipner-2019-benchmark-model', 'notes': 'The Sleipner 2019 Benchmark Model is a reference dataset from the Sleipner CO2 storage site. This site, located off the western coast of Norway using part of the larger Utsira Formation as a storage unit, has been actively used by Equinor as a CO2 storage site since 1996, for the purpose of avoiding emissions associated with the production of natural gas in the same region. The site has been extensively monitored from the beginning, and a series of time-lapse seismic datasets that documents the migration of the injected CO2 has been established and (along with associated well logs and baseline seismic) has served as input to the creation of the benchmark model.\r\n\r\nThe dataset includes a simulation grid with associated petrophysical properties and well data, as well as velocity maps and individual horizons within the storage reservoir. It was prepared over the course of 2018 and 2019, and officially released January 2020 under the [SLEIPNER CO2 REFERENCE DATASET LICENSE](https://co2datashare.org/view/license/5c681b1f-04af-4c09-8ec0-febb16ce6fc8) license, for the purpose of supporting research and development into CO2 storage issues. It succeeds an earlier reference model, the 2011 Sleipner Benchmark Model which over the years has been used by over 40 research institutes and served as a basis for a large amount of published research.', 'num_resources': 5, 'num_tags': 2, 'organization': {'id': '58c5ba6b-c3e3-45d8-82b6-61e71718784c', 'name': 'equinor', 'title': 'Equinor', 'type': 'organization', 'description': 'Equinor is a broad energy company with a proud history. We are 20,000 committed colleagues developing oil, gas, wind and solar energy in more than 30 countries worldwide. We’re the largest operator in Norway, one of the world’s largest offshore operators, and a growing force in renewables. Driven by our dedication to safety, equality and sustainability and our Nordic urge to explore beyond the horizon, we’re shaping the future of energy. ', 'image_url': '2020-01-10-131419.213026equinor-logo.png', 'created': '2020-01-10T14:14:19.265783', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': '58c5ba6b-c3e3-45d8-82b6-61e71718784c', 'private': False, 'project_type': 'Commercial', 'release_date': '2020-01-17 00:00:00', 'state': 'active', 'temporal_coverage_end': '2010-12-10 00:00:00', 'temporal_coverage_start': '1994-01-10 00:00:00', 'title': 'Sleipner 2019 Benchmark Model', 'type': 'dataset', 'url': '', 'version': None, 'resources': [{'assumptions': '', 'cache_last_updated': None, 'cache_url': None, 'category': '3.3.1', 'created': '2020-01-10T16:08:40.116141', 'dataformat': 'ba1eeab6-ed65-42dd-9705-ca3a5c938bea', 'description': 'Sleipner Reference Model simulation grid in ECLIPSE and RESCUE formats.', 'format': 'ZIP', 'hash': '', 'id': 'ee1c0026-c4f8-4e2a-b660-d60fbeab9a45', 'last_modified': '2020-01-10T16:09:08.383118', 'metadata_modified': '2020-01-10T16:08:40.116141', 'mimetype': 'application/zip', 'mimetype_inner': None, 'name': 'Sleipner Reference Model 2019 Grid', 'package_id': 'e6f67cbd-abf3-4d85-a118-ed386a994c2c', 'position': 0, 'purpose': 'Numerical flow simulation', 'resource_type': None, 'size': 34709338, 'sources': '', 'state': 'active', 'url': 'https://co2datashare-test.co2.sigma2.no/dataset/e6f67cbd-abf3-4d85-a118-ed386a994c2c/resource/ee1c0026-c4f8-4e2a-b660-d60fbeab9a45/download/sleipner_reference_model_2019_grid.zip', 'url_type': 'upload'}, {'assumptions': '', 'cache_last_updated': None, 'cache_url': None, 'category': '3.0.0', 'created': '2020-01-10T16:15:51.973419', 'dataformat': 'c4db60ee-ed52-4e75-ac22-82e2fcb56a2f', 'description': 'These are the observed or inferred inter-layer leakage points, represented by polygons.', 'format': 'ZIP', 'hash': '', 'id': 'af668955-b3a3-48c0-8ed4-85feade90caf', 'last_modified': '2020-01-10T16:15:51.935290', 'metadata_modified': '2020-01-10T16:15:51.973419', 'mimetype': 'application/zip', 'mimetype_inner': None, 'name': 'Feeders', 'package_id': 'e6f67cbd-abf3-4d85-a118-ed386a994c2c', 'position': 1, 'purpose': '', 'resource_type': None, 'size': 3351791, 'sources': '', 'state': 'active', 'url': 'https://co2datashare-test.co2.sigma2.no/dataset/e6f67cbd-abf3-4d85-a118-ed386a994c2c/resource/af668955-b3a3-48c0-8ed4-85feade90caf/download/feeders.zip', 'url_type': 'upload'}, {'assumptions': '', 'cache_last_updated': None, 'cache_url': None, 'category': '2.1.2', 'created': '2020-01-10T16:20:40.825795', 'dataformat': '7e5f289f-c7f3-4968-8805-7f75071bf643', 'description': ' Two wells, 15/9-A-16 and 15/9-13 are included in the reference dataset. These are the only wells that exist within the reservoir model area. The injection well for CO2 storage operations at Sleipner is 15/9-A-16, whereas 15/9-13 is an exploration well.\r\n\r\nThe well data included in the reference model are:\r\n\r\n- Well picks (both wells) for the grid (includes Reflector 7 to 1 and Thick Shale)\r\n- Full 3D wellbore positions and logs for both wells (as previously released in 2011).\r\n\r\n\r\nPlease note the following:\r\n\r\n- Interpreted logs are not shared in this data package.\r\n- Logs consisting only of null values do exist in the dataset, and are not an indication of an error.', 'format': 'ZIP', 'hash': '', 'id': 'e40bd27d-9d7a-4610-97d2-1d4b23899c11', 'last_modified': '2020-01-10T16:20:40.781799', 'metadata_modified': '2020-01-10T16:20:40.825795', 'mimetype': 'application/zip', 'mimetype_inner': None, 'name': 'Well data', 'package_id': 'e6f67cbd-abf3-4d85-a118-ed386a994c2c', 'position': 2, 'purpose': '', 'resource_type': None, 'size': 809092, 'sources': '', 'state': 'active', 'url': 'https://co2datashare-test.co2.sigma2.no/dataset/e6f67cbd-abf3-4d85-a118-ed386a994c2c/resource/e40bd27d-9d7a-4610-97d2-1d4b23899c11/download/well_data.zip', 'url_type': 'upload'}, {'assumptions': '', 'cache_last_updated': None, 'cache_url': None, 'category': '3.0.0', 'created': '2020-01-10T16:22:29.379436', 'dataformat': '7e5f289f-c7f3-4968-8805-7f75071bf643', 'description': 'The outlines of the injected CO2 plumes in all internal sandstone layers are provided for 2010. ', 'format': 'ZIP', 'hash': '', 'id': 'feeaa90a-a32b-40f1-9990-c6acb2f6ce85', 'last_modified': '2020-01-10T16:22:29.334351', 'metadata_modified': '2020-01-10T16:22:29.379436', 'mimetype': 'application/zip', 'mimetype_inner': None, 'name': 'Sleipner plume boundaries', 'package_id': 'e6f67cbd-abf3-4d85-a118-ed386a994c2c', 'position': 3, 'purpose': '', 'resource_type': None, 'size': 115781, 'sources': '', 'state': 'active', 'url': 'https://co2datashare-test.co2.sigma2.no/dataset/e6f67cbd-abf3-4d85-a118-ed386a994c2c/resource/feeaa90a-a32b-40f1-9990-c6acb2f6ce85/download/sleipner_plumes_boundaries.zip', 'url_type': 'upload'}, {'assumptions': '', 'cache_last_updated': None, 'cache_url': None, 'category': '3.1.0', 'created': '2020-01-10T16:24:59.274771', 'dataformat': 'c4db60ee-ed52-4e75-ac22-82e2fcb56a2f', 'description': 'Contains:\r\n- depth surfaces\r\n- extracted interval velocity maps\r\n- HUM interval velocity trends\r\n- HUM isochrons deep reflectors', 'format': 'ZIP', 'hash': '', 'id': '5506f2f5-17e0-4d73-857a-6dba32fd415c', 'last_modified': '2020-01-10T16:24:59.174248', 'metadata_modified': '2020-01-10T16:24:59.274771', 'mimetype': 'application/zip', 'mimetype_inner': None, 'name': 'Velocity maps, trends surfaces', 'package_id': 'e6f67cbd-abf3-4d85-a118-ed386a994c2c', 'position': 4, 'purpose': '', 'resource_type': None, 'size': 9358878, 'sources': '', 'state': 'active', 'url': 'https://co2datashare-test.co2.sigma2.no/dataset/e6f67cbd-abf3-4d85-a118-ed386a994c2c/resource/5506f2f5-17e0-4d73-857a-6dba32fd415c/download/velocities_trends_surfaces.zip', 'url_type': 'upload', 'has_views': False}], 'tags': [{'display_name': 'benchmark', 'id': '762a5866-9f86-46c8-9d37-70a9a9cb9166', 'name': 'benchmark', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'sleipner', 'id': '0ee18329-13e9-407f-abe6-6099ad062994', 'name': 'sleipner', 'state': 'active', 'vocabulary_id': None}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': [], 'contact_person': [('ba43c1c5-bd8d-4bcd-b097-c17e7af2ad32', 'CO2DataShare/CSDC, Secretariat', 'csdc-secretariat@sintef.no')], 'person_contributor': [], 'org_contributor': [('58c5ba6b-c3e3-45d8-82b6-61e71718784c', 'Equinor')], 'publications': [('8da25a26-a70c-4226-9e33-5f1c759f891b', 'Joint Inversion Of Geophysical Data For Geologic Carbon Sequestration Monitoring: A Differentiable Physics‐Informed Neural Network Model', '10.1029/2022jb025372'), ('a426f7d2-ad17-462f-aab7-6271db1f7f4c', 'Estimating Caprock Impact On CO2 Migration In The Gassum Formation Using 2D Seismic Line Data', '10.1007/s11242-021-01622-1'), ('7f0f4b45-0db6-46ae-be49-c7d03d60ecb0', 'Multifidelity Monte Carlo Method For Rapid Uncertainty Quantification In CO$$_2$$ Storage Applications', '10.1007/s10596-025-10372-8')], 'related_dataset': [('cbdc354c-fa61-4ab4-a0b4-134e1350a82b', 'Sleipner 4D Seismic Dataset'), ('2f69fa82-557f-42f9-947a-1477c7898cb0', 'Transfer Testing Dataset')], 'extras': [{'key': 'spatial', 'value': '{"type": "Point", "coordinates": [1.91, 58.36] }'}]}
pkg	<Package id=e6f67cbd-abf3-4d85-a118-ed386a994c2c name=sleipner-2019-benchmark-model title=Sleipner 2019 Benchmark Model version=None url= author=None author_email=None maintainer=None maintainer_email=None notes=The Sleipner 2019 Benchmark Model is a reference dataset from the Sleipner CO2 storage site. This site, located off the western coast of Norway using part of the larger Utsira Formation as a storage unit, has been actively used by Equinor as a CO2 storage site since 1996, for the purpose of avoiding emissions associated with the production of natural gas in the same region. The site has been extensively monitored from the beginning, and a series of time-lapse seismic datasets that documents the migration of the injected CO2 has been established and (along with associated well logs and baseline seismic) has served as input to the creation of the benchmark model. The dataset includes a simulation grid with associated petrophysical properties and well data, as well as velocity maps and individual horizons within the storage reservoir. It was prepared over the course of 2018 and 2019, and officially released January 2020 under the [SLEIPNER CO2 REFERENCE DATASET LICENSE](https://co2datashare.org/view/license/5c681b1f-04af-4c09-8ec0-febb16ce6fc8) license, for the purpose of supporting research and development into CO2 storage issues. It succeeds an earlier reference model, the 2011 Sleipner Benchmark Model which over the years has been used by over 40 research institutes and served as a basis for a large amount of published research. license_id=None type=dataset owner_org=58c5ba6b-c3e3-45d8-82b6-61e71718784c creator_user_id=64d73371-6647-441f-a8de-45dd214b1bd1 metadata_created=2020-01-10 14:11:23.285666 metadata_modified=2022-10-13 10:30:42.030145 private=False state=active plugin_data=None>
pkg_dict	{'access_level': 'Open', 'author': None, 'author_email': None, 'cdslicense': '5c681b1f-04af-4c09-8ec0-febb16ce6fc8', 'creator_user_id': '64d73371-6647-441f-a8de-45dd214b1bd1', 'doi': '10.11582/2020.00004', 'id': 'e6f67cbd-abf3-4d85-a118-ed386a994c2c', 'isopen': False, 'license_id': None, 'license_title': None, 'location': [1.91, 58.36], 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2020-01-10T14:11:23.285666', 'metadata_modified': '2022-10-13T10:30:42.030145', 'name': 'sleipner-2019-benchmark-model', 'notes': 'The Sleipner 2019 Benchmark Model is a reference dataset from the Sleipner CO2 storage site. This site, located off the western coast of Norway using part of the larger Utsira Formation as a storage unit, has been actively used by Equinor as a CO2 storage site since 1996, for the purpose of avoiding emissions associated with the production of natural gas in the same region. The site has been extensively monitored from the beginning, and a series of time-lapse seismic datasets that documents the migration of the injected CO2 has been established and (along with associated well logs and baseline seismic) has served as input to the creation of the benchmark model.\r\n\r\nThe dataset includes a simulation grid with associated petrophysical properties and well data, as well as velocity maps and individual horizons within the storage reservoir. It was prepared over the course of 2018 and 2019, and officially released January 2020 under the [SLEIPNER CO2 REFERENCE DATASET LICENSE](https://co2datashare.org/view/license/5c681b1f-04af-4c09-8ec0-febb16ce6fc8) license, for the purpose of supporting research and development into CO2 storage issues. It succeeds an earlier reference model, the 2011 Sleipner Benchmark Model which over the years has been used by over 40 research institutes and served as a basis for a large amount of published research.', 'num_resources': 5, 'num_tags': 2, 'organization': {'id': '58c5ba6b-c3e3-45d8-82b6-61e71718784c', 'name': 'equinor', 'title': 'Equinor', 'type': 'organization', 'description': 'Equinor is a broad energy company with a proud history. We are 20,000 committed colleagues developing oil, gas, wind and solar energy in more than 30 countries worldwide. We’re the largest operator in Norway, one of the world’s largest offshore operators, and a growing force in renewables. Driven by our dedication to safety, equality and sustainability and our Nordic urge to explore beyond the horizon, we’re shaping the future of energy. ', 'image_url': '2020-01-10-131419.213026equinor-logo.png', 'created': '2020-01-10T14:14:19.265783', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': '58c5ba6b-c3e3-45d8-82b6-61e71718784c', 'private': False, 'project_type': 'Commercial', 'release_date': '2020-01-17 00:00:00', 'state': 'active', 'temporal_coverage_end': '2010-12-10 00:00:00', 'temporal_coverage_start': '1994-01-10 00:00:00', 'title': 'Sleipner 2019 Benchmark Model', 'type': 'dataset', 'url': '', 'version': None, 'resources': [{'assumptions': '', 'cache_last_updated': None, 'cache_url': None, 'category': '3.3.1', 'created': '2020-01-10T16:08:40.116141', 'dataformat': 'ba1eeab6-ed65-42dd-9705-ca3a5c938bea', 'description': 'Sleipner Reference Model simulation grid in ECLIPSE and RESCUE formats.', 'format': 'ZIP', 'hash': '', 'id': 'ee1c0026-c4f8-4e2a-b660-d60fbeab9a45', 'last_modified': '2020-01-10T16:09:08.383118', 'metadata_modified': '2020-01-10T16:08:40.116141', 'mimetype': 'application/zip', 'mimetype_inner': None, 'name': 'Sleipner Reference Model 2019 Grid', 'package_id': 'e6f67cbd-abf3-4d85-a118-ed386a994c2c', 'position': 0, 'purpose': 'Numerical flow simulation', 'resource_type': None, 'size': 34709338, 'sources': '', 'state': 'active', 'url': 'https://co2datashare-test.co2.sigma2.no/dataset/e6f67cbd-abf3-4d85-a118-ed386a994c2c/resource/ee1c0026-c4f8-4e2a-b660-d60fbeab9a45/download/sleipner_reference_model_2019_grid.zip', 'url_type': 'upload'}, {'assumptions': '', 'cache_last_updated': None, 'cache_url': None, 'category': '3.0.0', 'created': '2020-01-10T16:15:51.973419', 'dataformat': 'c4db60ee-ed52-4e75-ac22-82e2fcb56a2f', 'description': 'These are the observed or inferred inter-layer leakage points, represented by polygons.', 'format': 'ZIP', 'hash': '', 'id': 'af668955-b3a3-48c0-8ed4-85feade90caf', 'last_modified': '2020-01-10T16:15:51.935290', 'metadata_modified': '2020-01-10T16:15:51.973419', 'mimetype': 'application/zip', 'mimetype_inner': None, 'name': 'Feeders', 'package_id': 'e6f67cbd-abf3-4d85-a118-ed386a994c2c', 'position': 1, 'purpose': '', 'resource_type': None, 'size': 3351791, 'sources': '', 'state': 'active', 'url': 'https://co2datashare-test.co2.sigma2.no/dataset/e6f67cbd-abf3-4d85-a118-ed386a994c2c/resource/af668955-b3a3-48c0-8ed4-85feade90caf/download/feeders.zip', 'url_type': 'upload'}, {'assumptions': '', 'cache_last_updated': None, 'cache_url': None, 'category': '2.1.2', 'created': '2020-01-10T16:20:40.825795', 'dataformat': '7e5f289f-c7f3-4968-8805-7f75071bf643', 'description': ' Two wells, 15/9-A-16 and 15/9-13 are included in the reference dataset. These are the only wells that exist within the reservoir model area. The injection well for CO2 storage operations at Sleipner is 15/9-A-16, whereas 15/9-13 is an exploration well.\r\n\r\nThe well data included in the reference model are:\r\n\r\n- Well picks (both wells) for the grid (includes Reflector 7 to 1 and Thick Shale)\r\n- Full 3D wellbore positions and logs for both wells (as previously released in 2011).\r\n\r\n\r\nPlease note the following:\r\n\r\n- Interpreted logs are not shared in this data package.\r\n- Logs consisting only of null values do exist in the dataset, and are not an indication of an error.', 'format': 'ZIP', 'hash': '', 'id': 'e40bd27d-9d7a-4610-97d2-1d4b23899c11', 'last_modified': '2020-01-10T16:20:40.781799', 'metadata_modified': '2020-01-10T16:20:40.825795', 'mimetype': 'application/zip', 'mimetype_inner': None, 'name': 'Well data', 'package_id': 'e6f67cbd-abf3-4d85-a118-ed386a994c2c', 'position': 2, 'purpose': '', 'resource_type': None, 'size': 809092, 'sources': '', 'state': 'active', 'url': 'https://co2datashare-test.co2.sigma2.no/dataset/e6f67cbd-abf3-4d85-a118-ed386a994c2c/resource/e40bd27d-9d7a-4610-97d2-1d4b23899c11/download/well_data.zip', 'url_type': 'upload'}, {'assumptions': '', 'cache_last_updated': None, 'cache_url': None, 'category': '3.0.0', 'created': '2020-01-10T16:22:29.379436', 'dataformat': '7e5f289f-c7f3-4968-8805-7f75071bf643', 'description': 'The outlines of the injected CO2 plumes in all internal sandstone layers are provided for 2010. ', 'format': 'ZIP', 'hash': '', 'id': 'feeaa90a-a32b-40f1-9990-c6acb2f6ce85', 'last_modified': '2020-01-10T16:22:29.334351', 'metadata_modified': '2020-01-10T16:22:29.379436', 'mimetype': 'application/zip', 'mimetype_inner': None, 'name': 'Sleipner plume boundaries', 'package_id': 'e6f67cbd-abf3-4d85-a118-ed386a994c2c', 'position': 3, 'purpose': '', 'resource_type': None, 'size': 115781, 'sources': '', 'state': 'active', 'url': 'https://co2datashare-test.co2.sigma2.no/dataset/e6f67cbd-abf3-4d85-a118-ed386a994c2c/resource/feeaa90a-a32b-40f1-9990-c6acb2f6ce85/download/sleipner_plumes_boundaries.zip', 'url_type': 'upload'}, {'assumptions': '', 'cache_last_updated': None, 'cache_url': None, 'category': '3.1.0', 'created': '2020-01-10T16:24:59.274771', 'dataformat': 'c4db60ee-ed52-4e75-ac22-82e2fcb56a2f', 'description': 'Contains:\r\n- depth surfaces\r\n- extracted interval velocity maps\r\n- HUM interval velocity trends\r\n- HUM isochrons deep reflectors', 'format': 'ZIP', 'hash': '', 'id': '5506f2f5-17e0-4d73-857a-6dba32fd415c', 'last_modified': '2020-01-10T16:24:59.174248', 'metadata_modified': '2020-01-10T16:24:59.274771', 'mimetype': 'application/zip', 'mimetype_inner': None, 'name': 'Velocity maps, trends surfaces', 'package_id': 'e6f67cbd-abf3-4d85-a118-ed386a994c2c', 'position': 4, 'purpose': '', 'resource_type': None, 'size': 9358878, 'sources': '', 'state': 'active', 'url': 'https://co2datashare-test.co2.sigma2.no/dataset/e6f67cbd-abf3-4d85-a118-ed386a994c2c/resource/5506f2f5-17e0-4d73-857a-6dba32fd415c/download/velocities_trends_surfaces.zip', 'url_type': 'upload', 'has_views': False}], 'tags': [{'display_name': 'benchmark', 'id': '762a5866-9f86-46c8-9d37-70a9a9cb9166', 'name': 'benchmark', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'sleipner', 'id': '0ee18329-13e9-407f-abe6-6099ad062994', 'name': 'sleipner', 'state': 'active', 'vocabulary_id': None}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': [], 'contact_person': [('ba43c1c5-bd8d-4bcd-b097-c17e7af2ad32', 'CO2DataShare/CSDC, Secretariat', 'csdc-secretariat@sintef.no')], 'person_contributor': [], 'org_contributor': [('58c5ba6b-c3e3-45d8-82b6-61e71718784c', 'Equinor')], 'publications': [('8da25a26-a70c-4226-9e33-5f1c759f891b', 'Joint Inversion Of Geophysical Data For Geologic Carbon Sequestration Monitoring: A Differentiable Physics‐Informed Neural Network Model', '10.1029/2022jb025372'), ('a426f7d2-ad17-462f-aab7-6271db1f7f4c', 'Estimating Caprock Impact On CO2 Migration In The Gassum Formation Using 2D Seismic Line Data', '10.1007/s11242-021-01622-1'), ('7f0f4b45-0db6-46ae-be49-c7d03d60ecb0', 'Multifidelity Monte Carlo Method For Rapid Uncertainty Quantification In CO$$_2$$ Storage Applications', '10.1007/s10596-025-10372-8')], 'related_dataset': [('cbdc354c-fa61-4ab4-a0b4-134e1350a82b', 'Sleipner 4D Seismic Dataset'), ('2f69fa82-557f-42f9-947a-1477c7898cb0', 'Transfer Testing Dataset')], 'extras': [{'key': 'spatial', 'value': '{"type": "Point", "coordinates": [1.91, 58.36] }'}]}
request	<Request 'http://co2datashare-test.co2.sigma2.no/dataset/sleipner-2019-benchmark-model/resource/5506f2f5-17e0-4d73-857a-6dba32fd415c' [GET]>
resource	{'assumptions': '', 'cache_last_updated': None, 'cache_url': None, 'category': '3.1.0', 'created': '2020-01-10T16:24:59.274771', 'dataformat': 'c4db60ee-ed52-4e75-ac22-82e2fcb56a2f', 'description': 'Contains:\r\n- depth surfaces\r\n- extracted interval velocity maps\r\n- HUM interval velocity trends\r\n- HUM isochrons deep reflectors', 'format': 'ZIP', 'hash': '', 'id': '5506f2f5-17e0-4d73-857a-6dba32fd415c', 'last_modified': '2020-01-10T16:24:59.174248', 'metadata_modified': '2020-01-10T16:24:59.274771', 'mimetype': 'application/zip', 'mimetype_inner': None, 'name': 'Velocity maps, trends surfaces', 'package_id': 'e6f67cbd-abf3-4d85-a118-ed386a994c2c', 'position': 4, 'purpose': '', 'resource_type': None, 'size': 9358878, 'sources': '', 'state': 'active', 'url': 'https://co2datashare-test.co2.sigma2.no/dataset/e6f67cbd-abf3-4d85-a118-ed386a994c2c/resource/5506f2f5-17e0-4d73-857a-6dba32fd415c/download/velocities_trends_surfaces.zip', 'url_type': 'upload', 'has_views': False}
resource_views	[]
session	<SecureCookieSession {'_csrf_token': 'fdbd64fcc3deda308b4698e9d24e01c38c7a5777', '_permanent': True, '_fresh': False}>

Key	Value
__timer	1773257740.8254428
_csrf_token	ImZkYmQ2NGZjYzNkZWRhMzA4YjQ2OThlOWQyNGUwMWMzOGM3YTU3Nzci.abHEDA.asHFD3RH-lyXe60frAqMgPi4iB8
_flask_babel	namespace(babel_domain=<Domain(None, ['ckan'])>, babel_locale=Locale('en'), babel_tzinfo=<UTC>)
_login_user	<ckan.model.user.AnonymousUser object at 0x7f0ea2cd6d40>
_webassets	{'style': [], 'script': [], 'included': {'base/ckan', 'vendor/bootstrap', 'vendor/vendor', 'vendor/fontawesome', 'vendor/htmx', 'vendor/jquery', 'vendor/select2-css', 'css/main', 'base/main'}}
author	158.36.102.144
blueprint	dataset_resource
csrf_field_name	_csrf_token
debug_toolbar	<flask_debugtoolbar.DebugToolbarExtension object at 0x7f0dfd9e5390>
login_via_auth_header	True
package	{'access_level': 'Open', 'author': None, 'author_email': None, 'cdslicense': '5c681b1f-04af-4c09-8ec0-febb16ce6fc8', 'creator_user_id': '64d73371-6647-441f-a8de-45dd214b1bd1', 'doi': '10.11582/2020.00004', 'id': 'e6f67cbd-abf3-4d85-a118-ed386a994c2c', 'isopen': False, 'license_id': None, 'license_title': None, 'location': [1.91, 58.36], 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2020-01-10T14:11:23.285666', 'metadata_modified': '2022-10-13T10:30:42.030145', 'name': 'sleipner-2019-benchmark-model', 'notes': 'The Sleipner 2019 Benchmark Model is a reference dataset from the Sleipner CO2 storage site. This site, located off the western coast of Norway using part of the larger Utsira Formation as a storage unit, has been actively used by Equinor as a CO2 storage site since 1996, for the purpose of avoiding emissions associated with the production of natural gas in the same region. The site has been extensively monitored from the beginning, and a series of time-lapse seismic datasets that documents the migration of the injected CO2 has been established and (along with associated well logs and baseline seismic) has served as input to the creation of the benchmark model.\r\n\r\nThe dataset includes a simulation grid with associated petrophysical properties and well data, as well as velocity maps and individual horizons within the storage reservoir. It was prepared over the course of 2018 and 2019, and officially released January 2020 under the [SLEIPNER CO2 REFERENCE DATASET LICENSE](https://co2datashare.org/view/license/5c681b1f-04af-4c09-8ec0-febb16ce6fc8) license, for the purpose of supporting research and development into CO2 storage issues. It succeeds an earlier reference model, the 2011 Sleipner Benchmark Model which over the years has been used by over 40 research institutes and served as a basis for a large amount of published research.', 'num_resources': 5, 'num_tags': 2, 'organization': {'id': '58c5ba6b-c3e3-45d8-82b6-61e71718784c', 'name': 'equinor', 'title': 'Equinor', 'type': 'organization', 'description': 'Equinor is a broad energy company with a proud history. We are 20,000 committed colleagues developing oil, gas, wind and solar energy in more than 30 countries worldwide. We’re the largest operator in Norway, one of the world’s largest offshore operators, and a growing force in renewables. Driven by our dedication to safety, equality and sustainability and our Nordic urge to explore beyond the horizon, we’re shaping the future of energy. ', 'image_url': '2020-01-10-131419.213026equinor-logo.png', 'created': '2020-01-10T14:14:19.265783', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': '58c5ba6b-c3e3-45d8-82b6-61e71718784c', 'private': False, 'project_type': 'Commercial', 'release_date': '2020-01-17 00:00:00', 'state': 'active', 'temporal_coverage_end': '2010-12-10 00:00:00', 'temporal_coverage_start': '1994-01-10 00:00:00', 'title': 'Sleipner 2019 Benchmark Model', 'type': 'dataset', 'url': '', 'version': None, 'resources': [{'assumptions': '', 'cache_last_updated': None, 'cache_url': None, 'category': '3.3.1', 'created': '2020-01-10T16:08:40.116141', 'dataformat': 'ba1eeab6-ed65-42dd-9705-ca3a5c938bea', 'description': 'Sleipner Reference Model simulation grid in ECLIPSE and RESCUE formats.', 'format': 'ZIP', 'hash': '', 'id': 'ee1c0026-c4f8-4e2a-b660-d60fbeab9a45', 'last_modified': '2020-01-10T16:09:08.383118', 'metadata_modified': '2020-01-10T16:08:40.116141', 'mimetype': 'application/zip', 'mimetype_inner': None, 'name': 'Sleipner Reference Model 2019 Grid', 'package_id': 'e6f67cbd-abf3-4d85-a118-ed386a994c2c', 'position': 0, 'purpose': 'Numerical flow simulation', 'resource_type': None, 'size': 34709338, 'sources': '', 'state': 'active', 'url': 'https://co2datashare-test.co2.sigma2.no/dataset/e6f67cbd-abf3-4d85-a118-ed386a994c2c/resource/ee1c0026-c4f8-4e2a-b660-d60fbeab9a45/download/sleipner_reference_model_2019_grid.zip', 'url_type': 'upload'}, {'assumptions': '', 'cache_last_updated': None, 'cache_url': None, 'category': '3.0.0', 'created': '2020-01-10T16:15:51.973419', 'dataformat': 'c4db60ee-ed52-4e75-ac22-82e2fcb56a2f', 'description': 'These are the observed or inferred inter-layer leakage points, represented by polygons.', 'format': 'ZIP', 'hash': '', 'id': 'af668955-b3a3-48c0-8ed4-85feade90caf', 'last_modified': '2020-01-10T16:15:51.935290', 'metadata_modified': '2020-01-10T16:15:51.973419', 'mimetype': 'application/zip', 'mimetype_inner': None, 'name': 'Feeders', 'package_id': 'e6f67cbd-abf3-4d85-a118-ed386a994c2c', 'position': 1, 'purpose': '', 'resource_type': None, 'size': 3351791, 'sources': '', 'state': 'active', 'url': 'https://co2datashare-test.co2.sigma2.no/dataset/e6f67cbd-abf3-4d85-a118-ed386a994c2c/resource/af668955-b3a3-48c0-8ed4-85feade90caf/download/feeders.zip', 'url_type': 'upload'}, {'assumptions': '', 'cache_last_updated': None, 'cache_url': None, 'category': '2.1.2', 'created': '2020-01-10T16:20:40.825795', 'dataformat': '7e5f289f-c7f3-4968-8805-7f75071bf643', 'description': ' Two wells, 15/9-A-16 and 15/9-13 are included in the reference dataset. These are the only wells that exist within the reservoir model area. The injection well for CO2 storage operations at Sleipner is 15/9-A-16, whereas 15/9-13 is an exploration well.\r\n\r\nThe well data included in the reference model are:\r\n\r\n- Well picks (both wells) for the grid (includes Reflector 7 to 1 and Thick Shale)\r\n- Full 3D wellbore positions and logs for both wells (as previously released in 2011).\r\n\r\n\r\nPlease note the following:\r\n\r\n- Interpreted logs are not shared in this data package.\r\n- Logs consisting only of null values do exist in the dataset, and are not an indication of an error.', 'format': 'ZIP', 'hash': '', 'id': 'e40bd27d-9d7a-4610-97d2-1d4b23899c11', 'last_modified': '2020-01-10T16:20:40.781799', 'metadata_modified': '2020-01-10T16:20:40.825795', 'mimetype': 'application/zip', 'mimetype_inner': None, 'name': 'Well data', 'package_id': 'e6f67cbd-abf3-4d85-a118-ed386a994c2c', 'position': 2, 'purpose': '', 'resource_type': None, 'size': 809092, 'sources': '', 'state': 'active', 'url': 'https://co2datashare-test.co2.sigma2.no/dataset/e6f67cbd-abf3-4d85-a118-ed386a994c2c/resource/e40bd27d-9d7a-4610-97d2-1d4b23899c11/download/well_data.zip', 'url_type': 'upload'}, {'assumptions': '', 'cache_last_updated': None, 'cache_url': None, 'category': '3.0.0', 'created': '2020-01-10T16:22:29.379436', 'dataformat': '7e5f289f-c7f3-4968-8805-7f75071bf643', 'description': 'The outlines of the injected CO2 plumes in all internal sandstone layers are provided for 2010. ', 'format': 'ZIP', 'hash': '', 'id': 'feeaa90a-a32b-40f1-9990-c6acb2f6ce85', 'last_modified': '2020-01-10T16:22:29.334351', 'metadata_modified': '2020-01-10T16:22:29.379436', 'mimetype': 'application/zip', 'mimetype_inner': None, 'name': 'Sleipner plume boundaries', 'package_id': 'e6f67cbd-abf3-4d85-a118-ed386a994c2c', 'position': 3, 'purpose': '', 'resource_type': None, 'size': 115781, 'sources': '', 'state': 'active', 'url': 'https://co2datashare-test.co2.sigma2.no/dataset/e6f67cbd-abf3-4d85-a118-ed386a994c2c/resource/feeaa90a-a32b-40f1-9990-c6acb2f6ce85/download/sleipner_plumes_boundaries.zip', 'url_type': 'upload'}, {'assumptions': '', 'cache_last_updated': None, 'cache_url': None, 'category': '3.1.0', 'created': '2020-01-10T16:24:59.274771', 'dataformat': 'c4db60ee-ed52-4e75-ac22-82e2fcb56a2f', 'description': 'Contains:\r\n- depth surfaces\r\n- extracted interval velocity maps\r\n- HUM interval velocity trends\r\n- HUM isochrons deep reflectors', 'format': 'ZIP', 'hash': '', 'id': '5506f2f5-17e0-4d73-857a-6dba32fd415c', 'last_modified': '2020-01-10T16:24:59.174248', 'metadata_modified': '2020-01-10T16:24:59.274771', 'mimetype': 'application/zip', 'mimetype_inner': None, 'name': 'Velocity maps, trends surfaces', 'package_id': 'e6f67cbd-abf3-4d85-a118-ed386a994c2c', 'position': 4, 'purpose': '', 'resource_type': None, 'size': 9358878, 'sources': '', 'state': 'active', 'url': 'https://co2datashare-test.co2.sigma2.no/dataset/e6f67cbd-abf3-4d85-a118-ed386a994c2c/resource/5506f2f5-17e0-4d73-857a-6dba32fd415c/download/velocities_trends_surfaces.zip', 'url_type': 'upload', 'has_views': False}], 'tags': [{'display_name': 'benchmark', 'id': '762a5866-9f86-46c8-9d37-70a9a9cb9166', 'name': 'benchmark', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'sleipner', 'id': '0ee18329-13e9-407f-abe6-6099ad062994', 'name': 'sleipner', 'state': 'active', 'vocabulary_id': None}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': [], 'contact_person': [('ba43c1c5-bd8d-4bcd-b097-c17e7af2ad32', 'CO2DataShare/CSDC, Secretariat', 'csdc-secretariat@sintef.no')], 'person_contributor': [], 'org_contributor': [('58c5ba6b-c3e3-45d8-82b6-61e71718784c', 'Equinor')], 'publications': [('8da25a26-a70c-4226-9e33-5f1c759f891b', 'Joint Inversion Of Geophysical Data For Geologic Carbon Sequestration Monitoring: A Differentiable Physics‐Informed Neural Network Model', '10.1029/2022jb025372'), ('a426f7d2-ad17-462f-aab7-6271db1f7f4c', 'Estimating Caprock Impact On CO2 Migration In The Gassum Formation Using 2D Seismic Line Data', '10.1007/s11242-021-01622-1'), ('7f0f4b45-0db6-46ae-be49-c7d03d60ecb0', 'Multifidelity Monte Carlo Method For Rapid Uncertainty Quantification In CO$$_2$$ Storage Applications', '10.1007/s10596-025-10372-8')], 'related_dataset': [('cbdc354c-fa61-4ab4-a0b4-134e1350a82b', 'Sleipner 4D Seismic Dataset'), ('2f69fa82-557f-42f9-947a-1477c7898cb0', 'Transfer Testing Dataset')], 'extras': [{'key': 'spatial', 'value': '{"type": "Point", "coordinates": [1.91, 58.36] }'}]}
pkg	<Package id=e6f67cbd-abf3-4d85-a118-ed386a994c2c name=sleipner-2019-benchmark-model title=Sleipner 2019 Benchmark Model version=None url= author=None author_email=None maintainer=None maintainer_email=None notes=The Sleipner 2019 Benchmark Model is a reference dataset from the Sleipner CO2 storage site. This site, located off the western coast of Norway using part of the larger Utsira Formation as a storage unit, has been actively used by Equinor as a CO2 storage site since 1996, for the purpose of avoiding emissions associated with the production of natural gas in the same region. The site has been extensively monitored from the beginning, and a series of time-lapse seismic datasets that documents the migration of the injected CO2 has been established and (along with associated well logs and baseline seismic) has served as input to the creation of the benchmark model. The dataset includes a simulation grid with associated petrophysical properties and well data, as well as velocity maps and individual horizons within the storage reservoir. It was prepared over the course of 2018 and 2019, and officially released January 2020 under the [SLEIPNER CO2 REFERENCE DATASET LICENSE](https://co2datashare.org/view/license/5c681b1f-04af-4c09-8ec0-febb16ce6fc8) license, for the purpose of supporting research and development into CO2 storage issues. It succeeds an earlier reference model, the 2011 Sleipner Benchmark Model which over the years has been used by over 40 research institutes and served as a basis for a large amount of published research. license_id=None type=dataset owner_org=58c5ba6b-c3e3-45d8-82b6-61e71718784c creator_user_id=64d73371-6647-441f-a8de-45dd214b1bd1 metadata_created=2020-01-10 14:11:23.285666 metadata_modified=2022-10-13 10:30:42.030145 private=False state=active plugin_data=None>
pkg_dict	{'access_level': 'Open', 'author': None, 'author_email': None, 'cdslicense': '5c681b1f-04af-4c09-8ec0-febb16ce6fc8', 'creator_user_id': '64d73371-6647-441f-a8de-45dd214b1bd1', 'doi': '10.11582/2020.00004', 'id': 'e6f67cbd-abf3-4d85-a118-ed386a994c2c', 'isopen': False, 'license_id': None, 'license_title': None, 'location': [1.91, 58.36], 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2020-01-10T14:11:23.285666', 'metadata_modified': '2022-10-13T10:30:42.030145', 'name': 'sleipner-2019-benchmark-model', 'notes': 'The Sleipner 2019 Benchmark Model is a reference dataset from the Sleipner CO2 storage site. This site, located off the western coast of Norway using part of the larger Utsira Formation as a storage unit, has been actively used by Equinor as a CO2 storage site since 1996, for the purpose of avoiding emissions associated with the production of natural gas in the same region. The site has been extensively monitored from the beginning, and a series of time-lapse seismic datasets that documents the migration of the injected CO2 has been established and (along with associated well logs and baseline seismic) has served as input to the creation of the benchmark model.\r\n\r\nThe dataset includes a simulation grid with associated petrophysical properties and well data, as well as velocity maps and individual horizons within the storage reservoir. It was prepared over the course of 2018 and 2019, and officially released January 2020 under the [SLEIPNER CO2 REFERENCE DATASET LICENSE](https://co2datashare.org/view/license/5c681b1f-04af-4c09-8ec0-febb16ce6fc8) license, for the purpose of supporting research and development into CO2 storage issues. It succeeds an earlier reference model, the 2011 Sleipner Benchmark Model which over the years has been used by over 40 research institutes and served as a basis for a large amount of published research.', 'num_resources': 5, 'num_tags': 2, 'organization': {'id': '58c5ba6b-c3e3-45d8-82b6-61e71718784c', 'name': 'equinor', 'title': 'Equinor', 'type': 'organization', 'description': 'Equinor is a broad energy company with a proud history. We are 20,000 committed colleagues developing oil, gas, wind and solar energy in more than 30 countries worldwide. We’re the largest operator in Norway, one of the world’s largest offshore operators, and a growing force in renewables. Driven by our dedication to safety, equality and sustainability and our Nordic urge to explore beyond the horizon, we’re shaping the future of energy. ', 'image_url': '2020-01-10-131419.213026equinor-logo.png', 'created': '2020-01-10T14:14:19.265783', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': '58c5ba6b-c3e3-45d8-82b6-61e71718784c', 'private': False, 'project_type': 'Commercial', 'release_date': '2020-01-17 00:00:00', 'state': 'active', 'temporal_coverage_end': '2010-12-10 00:00:00', 'temporal_coverage_start': '1994-01-10 00:00:00', 'title': 'Sleipner 2019 Benchmark Model', 'type': 'dataset', 'url': '', 'version': None, 'resources': [{'assumptions': '', 'cache_last_updated': None, 'cache_url': None, 'category': '3.3.1', 'created': '2020-01-10T16:08:40.116141', 'dataformat': 'ba1eeab6-ed65-42dd-9705-ca3a5c938bea', 'description': 'Sleipner Reference Model simulation grid in ECLIPSE and RESCUE formats.', 'format': 'ZIP', 'hash': '', 'id': 'ee1c0026-c4f8-4e2a-b660-d60fbeab9a45', 'last_modified': '2020-01-10T16:09:08.383118', 'metadata_modified': '2020-01-10T16:08:40.116141', 'mimetype': 'application/zip', 'mimetype_inner': None, 'name': 'Sleipner Reference Model 2019 Grid', 'package_id': 'e6f67cbd-abf3-4d85-a118-ed386a994c2c', 'position': 0, 'purpose': 'Numerical flow simulation', 'resource_type': None, 'size': 34709338, 'sources': '', 'state': 'active', 'url': 'https://co2datashare-test.co2.sigma2.no/dataset/e6f67cbd-abf3-4d85-a118-ed386a994c2c/resource/ee1c0026-c4f8-4e2a-b660-d60fbeab9a45/download/sleipner_reference_model_2019_grid.zip', 'url_type': 'upload'}, {'assumptions': '', 'cache_last_updated': None, 'cache_url': None, 'category': '3.0.0', 'created': '2020-01-10T16:15:51.973419', 'dataformat': 'c4db60ee-ed52-4e75-ac22-82e2fcb56a2f', 'description': 'These are the observed or inferred inter-layer leakage points, represented by polygons.', 'format': 'ZIP', 'hash': '', 'id': 'af668955-b3a3-48c0-8ed4-85feade90caf', 'last_modified': '2020-01-10T16:15:51.935290', 'metadata_modified': '2020-01-10T16:15:51.973419', 'mimetype': 'application/zip', 'mimetype_inner': None, 'name': 'Feeders', 'package_id': 'e6f67cbd-abf3-4d85-a118-ed386a994c2c', 'position': 1, 'purpose': '', 'resource_type': None, 'size': 3351791, 'sources': '', 'state': 'active', 'url': 'https://co2datashare-test.co2.sigma2.no/dataset/e6f67cbd-abf3-4d85-a118-ed386a994c2c/resource/af668955-b3a3-48c0-8ed4-85feade90caf/download/feeders.zip', 'url_type': 'upload'}, {'assumptions': '', 'cache_last_updated': None, 'cache_url': None, 'category': '2.1.2', 'created': '2020-01-10T16:20:40.825795', 'dataformat': '7e5f289f-c7f3-4968-8805-7f75071bf643', 'description': ' Two wells, 15/9-A-16 and 15/9-13 are included in the reference dataset. These are the only wells that exist within the reservoir model area. The injection well for CO2 storage operations at Sleipner is 15/9-A-16, whereas 15/9-13 is an exploration well.\r\n\r\nThe well data included in the reference model are:\r\n\r\n- Well picks (both wells) for the grid (includes Reflector 7 to 1 and Thick Shale)\r\n- Full 3D wellbore positions and logs for both wells (as previously released in 2011).\r\n\r\n\r\nPlease note the following:\r\n\r\n- Interpreted logs are not shared in this data package.\r\n- Logs consisting only of null values do exist in the dataset, and are not an indication of an error.', 'format': 'ZIP', 'hash': '', 'id': 'e40bd27d-9d7a-4610-97d2-1d4b23899c11', 'last_modified': '2020-01-10T16:20:40.781799', 'metadata_modified': '2020-01-10T16:20:40.825795', 'mimetype': 'application/zip', 'mimetype_inner': None, 'name': 'Well data', 'package_id': 'e6f67cbd-abf3-4d85-a118-ed386a994c2c', 'position': 2, 'purpose': '', 'resource_type': None, 'size': 809092, 'sources': '', 'state': 'active', 'url': 'https://co2datashare-test.co2.sigma2.no/dataset/e6f67cbd-abf3-4d85-a118-ed386a994c2c/resource/e40bd27d-9d7a-4610-97d2-1d4b23899c11/download/well_data.zip', 'url_type': 'upload'}, {'assumptions': '', 'cache_last_updated': None, 'cache_url': None, 'category': '3.0.0', 'created': '2020-01-10T16:22:29.379436', 'dataformat': '7e5f289f-c7f3-4968-8805-7f75071bf643', 'description': 'The outlines of the injected CO2 plumes in all internal sandstone layers are provided for 2010. ', 'format': 'ZIP', 'hash': '', 'id': 'feeaa90a-a32b-40f1-9990-c6acb2f6ce85', 'last_modified': '2020-01-10T16:22:29.334351', 'metadata_modified': '2020-01-10T16:22:29.379436', 'mimetype': 'application/zip', 'mimetype_inner': None, 'name': 'Sleipner plume boundaries', 'package_id': 'e6f67cbd-abf3-4d85-a118-ed386a994c2c', 'position': 3, 'purpose': '', 'resource_type': None, 'size': 115781, 'sources': '', 'state': 'active', 'url': 'https://co2datashare-test.co2.sigma2.no/dataset/e6f67cbd-abf3-4d85-a118-ed386a994c2c/resource/feeaa90a-a32b-40f1-9990-c6acb2f6ce85/download/sleipner_plumes_boundaries.zip', 'url_type': 'upload'}, {'assumptions': '', 'cache_last_updated': None, 'cache_url': None, 'category': '3.1.0', 'created': '2020-01-10T16:24:59.274771', 'dataformat': 'c4db60ee-ed52-4e75-ac22-82e2fcb56a2f', 'description': 'Contains:\r\n- depth surfaces\r\n- extracted interval velocity maps\r\n- HUM interval velocity trends\r\n- HUM isochrons deep reflectors', 'format': 'ZIP', 'hash': '', 'id': '5506f2f5-17e0-4d73-857a-6dba32fd415c', 'last_modified': '2020-01-10T16:24:59.174248', 'metadata_modified': '2020-01-10T16:24:59.274771', 'mimetype': 'application/zip', 'mimetype_inner': None, 'name': 'Velocity maps, trends surfaces', 'package_id': 'e6f67cbd-abf3-4d85-a118-ed386a994c2c', 'position': 4, 'purpose': '', 'resource_type': None, 'size': 9358878, 'sources': '', 'state': 'active', 'url': 'https://co2datashare-test.co2.sigma2.no/dataset/e6f67cbd-abf3-4d85-a118-ed386a994c2c/resource/5506f2f5-17e0-4d73-857a-6dba32fd415c/download/velocities_trends_surfaces.zip', 'url_type': 'upload', 'has_views': False}], 'tags': [{'display_name': 'benchmark', 'id': '762a5866-9f86-46c8-9d37-70a9a9cb9166', 'name': 'benchmark', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'sleipner', 'id': '0ee18329-13e9-407f-abe6-6099ad062994', 'name': 'sleipner', 'state': 'active', 'vocabulary_id': None}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': [], 'contact_person': [('ba43c1c5-bd8d-4bcd-b097-c17e7af2ad32', 'CO2DataShare/CSDC, Secretariat', 'csdc-secretariat@sintef.no')], 'person_contributor': [], 'org_contributor': [('58c5ba6b-c3e3-45d8-82b6-61e71718784c', 'Equinor')], 'publications': [('8da25a26-a70c-4226-9e33-5f1c759f891b', 'Joint Inversion Of Geophysical Data For Geologic Carbon Sequestration Monitoring: A Differentiable Physics‐Informed Neural Network Model', '10.1029/2022jb025372'), ('a426f7d2-ad17-462f-aab7-6271db1f7f4c', 'Estimating Caprock Impact On CO2 Migration In The Gassum Formation Using 2D Seismic Line Data', '10.1007/s11242-021-01622-1'), ('7f0f4b45-0db6-46ae-be49-c7d03d60ecb0', 'Multifidelity Monte Carlo Method For Rapid Uncertainty Quantification In CO$$_2$$ Storage Applications', '10.1007/s10596-025-10372-8')], 'related_dataset': [('cbdc354c-fa61-4ab4-a0b4-134e1350a82b', 'Sleipner 4D Seismic Dataset'), ('2f69fa82-557f-42f9-947a-1477c7898cb0', 'Transfer Testing Dataset')], 'extras': [{'key': 'spatial', 'value': '{"type": "Point", "coordinates": [1.91, 58.36] }'}]}
remote_addr	158.36.102.144
resource	{'assumptions': '', 'cache_last_updated': None, 'cache_url': None, 'category': '3.1.0', 'created': '2020-01-10T16:24:59.274771', 'dataformat': 'c4db60ee-ed52-4e75-ac22-82e2fcb56a2f', 'description': 'Contains:\r\n- depth surfaces\r\n- extracted interval velocity maps\r\n- HUM interval velocity trends\r\n- HUM isochrons deep reflectors', 'format': 'ZIP', 'hash': '', 'id': '5506f2f5-17e0-4d73-857a-6dba32fd415c', 'last_modified': '2020-01-10T16:24:59.174248', 'metadata_modified': '2020-01-10T16:24:59.274771', 'mimetype': 'application/zip', 'mimetype_inner': None, 'name': 'Velocity maps, trends surfaces', 'package_id': 'e6f67cbd-abf3-4d85-a118-ed386a994c2c', 'position': 4, 'purpose': '', 'resource_type': None, 'size': 9358878, 'sources': '', 'state': 'active', 'url': 'https://co2datashare-test.co2.sigma2.no/dataset/e6f67cbd-abf3-4d85-a118-ed386a994c2c/resource/5506f2f5-17e0-4d73-857a-6dba32fd415c/download/velocities_trends_surfaces.zip', 'url_type': 'upload', 'has_views': False}
user
userobj
view	read