cannlytics/cannabis_results

Cannabis Results

Curated by 🔥Cannlytics, an open-source cannabis data and analytics company. If you find the data valuable, then consider contributing $1 to help advance cannabis science!

This is a repository of public cannabis lab test results obtained through public records requests and certificates of analysis (COAs) available online. Lab results are useful for cannabis cultivators, processors, retailers, consumers, and everyone else interested in cannabis. The repository contains raw data and curated datafiles for states with permitted cannabis markets where data is available. The curated datafiles are cleaned and standardized for ease of use, but may contain errors. The raw data is provided for transparency, reproducibility, and for you to improve upon.

Note: Any data of individuals and/or their contact information may not be used for commercial purposes. The data represents only a subset of the population of cannabis lab results, and the non-random nature of data collection should be taken into consideration.

Using the Data

The data is split into subsets for each state where data is available. You can download a given subset by specifying the state's abbreviation, e.g. ca for California (CA) results.

from datasets import load_dataset

# Download California results.
dataset = load_dataset('cannlytics/cannabis_results', 'ca')
data = dataset['data']
assert len(data) > 0
print('Downloaded %i observations.' % len(data))

Subsets

Subset	State	Observations
ca	CA	71,581
co	CO	25,798
ct	CT	19,963
fl	FL	14,573
hi	HI	13,485
ma	MA	75,164
md	MD	105,013
mi	MI	89,956
nv	NV	153,064
ny	NY	330
or	OR	196,900
ri	RI	25,832
ut	UT	1,230
wa	WA	202,812

Data Points

Below is a non-exhaustive list of fields, used to standardize the various data that are encountered, that you may expect encounter in the parsed COA data.

Field	Example	Description
analyses	["cannabinoids"]	A list of analyses performed on a given sample.
{analysis}_method	"HPLC"	The method used for each analysis.
{analysis}_status	"pass"	The pass, fail, or N/A status for pass / fail analyses.
coa_urls	[{"url": "", "filename": ""}]	A list of certificate of analysis (CoA) URLs.
date_collected	2022-04-20T04:20	An ISO-formatted time when the sample was collected.
date_tested	2022-04-20T16:20	An ISO-formatted time when the sample was tested.
date_received	2022-04-20T12:20	An ISO-formatted time when the sample was received.
distributor	"Your Favorite Dispo"	The name of the product distributor, if applicable.
distributor_address	"Under the Bridge, SF, CA 55555"	The distributor address, if applicable.
distributor_street	"Under the Bridge"	The distributor street, if applicable.
distributor_city	"SF"	The distributor city, if applicable.
distributor_state	"CA"	The distributor state, if applicable.
distributor_zipcode	"55555"	The distributor zip code, if applicable.
distributor_license_number	"L2Stat"	The distributor license number, if applicable.
images	[{"url": "", "filename": ""}]	A list of image URLs for the sample.
lab_results_url	"https://cannlytics.com/results"	A URL to the sample results online.
producer	"Grow Tent"	The producer of the sampled product.
producer_address	"3rd & Army, SF, CA 55555"	The producer's address.
producer_street	"3rd & Army"	The producer's street.
producer_city	"SF"	The producer's city.
producer_state	"CA"	The producer's state.
producer_zipcode	"55555"	The producer's zipcode.
producer_license_number	"L2Calc"	The producer's license number.
product_name	"Blue Rhino Pre-Roll"	The name of the product.
lab_id	"Sample-0001"	A lab-specific ID for the sample.
product_type	"flower"	The type of product.
batch_number	"Order-0001"	A batch number for the sample or product.
metrc_ids	["1A4060300002199000003445"]	A list of relevant Metrc IDs.
metrc_lab_id	"1A4060300002199000003445"	The Metrc ID associated with the lab sample.
metrc_source_id	"1A4060300002199000003445"	The Metrc ID associated with the sampled product.
product_size	2000	The size of the product in milligrams.
serving_size	1000	An estimated serving size in milligrams.
servings_per_package	2	The number of servings per package.
sample_weight	1	The weight of the product sample in grams.
results	[{...},...]	A list of results, see below for result-specific fields.
status	"pass"	The overall pass / fail status for all contaminant screening analyses.
total_cannabinoids	14.20	The analytical total of all cannabinoids measured.
total_thc	14.00	The analytical total of THC and THCA.
total_cbd	0.20	The analytical total of CBD and CBDA.
total_terpenes	0.42	The sum of all terpenes measured.
results_hash	"{sha256-hash}"	An HMAC of the sample's results JSON signed with Cannlytics' public key, "cannlytics.eth".
sample_id	"{sha256-hash}"	A generated ID to uniquely identify the producer, product_name, and results.
sample_hash	"{sha256-hash}"	An HMAC of the entire sample JSON signed with Cannlytics' public key, "cannlytics.eth".
strain_name	"Blue Rhino"	A strain name, if specified. Otherwise, can be attempted to be parsed from the product_name.

Each result can contain the following fields.

Field	Example	Description
analysis	"pesticides"	The analysis used to obtain the result.
key	"pyrethrins"	A standardized key for the result analyte.
name	"Pyrethrins"	The lab's internal name for the result analyte
value	0.42	The value of the result.
mg_g	0.00000042	The value of the result in milligrams per gram.
units	"ug/g"	The units for the result value, limit, lod, and loq.
limit	0.5	A pass / fail threshold for contaminant screening analyses.
lod	0.01	The limit of detection for the result analyte. Values below the lod are typically reported as ND.
loq	0.1	The limit of quantification for the result analyte. Values above the lod but below the loq are typically reported as <LOQ.
status	"pass"	The pass / fail status for contaminant screening analyses.

License

Copyright (c) 2022-2024 Cannlytics

The files associated with this dataset are licensed under a 
Creative Commons Attribution 4.0 International license.

You can share, copy and modify this dataset so long as you give
appropriate credit, provide a link to the CC BY license, and
indicate if changes were made, but you may not do so in a way
that suggests the rights holder has endorsed you or your use of
the dataset. Note that further permission may be required for
any content within the dataset that is identified as belonging
to a third party.

Contributors

Thanks to 🔥Cannlytics, @candy-o, @hcadeaux, @keeganskeate, The CESC, and the entire Cannabis Data Science Team for their contributions.