Linear layer illustrating the lot divisions present in the graphic matrix in the case of properties containing several lots. **Collection context** Maintenance process in collaboration with the evaluation department. **Collection method** Computer-aided mapping. **Attributes** * `ID_MAT_DIV` (`integer`): Identifier * `DATE_CREATION` (`smalldatetime`): Created on * `DATE_MODIFICATION` (`smalldatetime`): Modified on * `USER_MODIFICATION` (`varchar`): Modified by * `MAT10` (`varchar`): ID number * `ID_MAT_DIV_OLD` (`varchar`): Old id For more information, consult the metadata on the Isogeo catalog (OpenCatalog link).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Land use of the City of Trois-Rivières**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Footprints of Quebec City buildings.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Identification and geolocation of municipal sites and buildings. These places can be of the type: * arena * other municipal building * shoreline * library * community center * train station * stop * park and school park * public square * site with park equipment * subway station **This third party metadata element was translated using an automated translation tool (Amazon Translate).**

All pedestrian infrastructures. Sidewalks.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Position of address points. **Collection context** Initial source of the Qc address databases, the urban planning department, the engineering department and the DGE. Analysis and coupling of the various sources to create a comprehensive research layer for the needs of the city's internal users. Timely maintenance using the address change reports from the urban planning department and changes to the property records from the assessment department. **Collection method** Computer-aided mapping. **Attributes** * `ID_ADRCIV` (`integer`): Identifier * `NOCIVQ` (`integer`): Civic number * `NOCIV_SUFX` (`varchar`): Number suffix * `ODO_INDEX_LONG` (`varchar`): Long index odonym * `ODO_INDEX_COURT` (`varchar`): Short index odonym * `ADQNBUNITE` (`integer`): Number of Qc address units * `CODE_POST` (`varchar`): Postal code * `MAT10` (`varchar`): Number * `SOURCE` (`varchar`): Source * `DATE_CREATION` (`smalldatetime`): Created on * `DATE_MODIFICATION` (`smalldatetime`): Modified on * `USER_MODIFICATION` (`varchar`): Modified by * `DATE_ARCHIVE` (`smalldatetime`): Archive date * `ODO_LONG_COMPLETE` (`varchar`): Full long odonym * `ODO_COURT_COMPLET` (`varchar`): Full short odonym * `ODONYM` (`varchar`): Odonym * `LOC_X` (`numeric`): x * `LOC_Y` (`numeric`): y For more information, consult the metadata on the Isogeo catalog (OpenCatalog link).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Drought Impact Lines dataset highlights areas that have been physically impacted by drought. All drought impact lines have a drought impact label inside of them to express the longevity of the impact. The impact lines are classified using impact labels as follows: S – Short-Term, typically less than 6 months. L – Long-Term, typically more than 6 months. SL – A combination of Short and Long-Term impacts.

DIAPERS OF THE PIIA IN THE CITY OF TROIS-RIVIÈRES**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Point layer of points of interest and place names. Schools, pools, municipal buildings, etc. **Collection context** Manual collection and additions/withdrawals according to procedures between departments. **Collection method** Computer-aided mapping. **Attributes** * `ID_PDI` (`integer`): Identifier * `GROUPE_PDI` (`varchar`): Group * `NO_PDI` (`varchar`): Number * `PDI_NAME` (`varchar`): Name * `NO_CIVIC` (`varchar`): Civic number * `ODO_INDEX_LONG` (`varchar`): Long index odonym * `ODO_COURT_COMPLET` (`varchar`): Full short odonym * `ODO_LONG_COMPLETE` (`varchar`): Full long odonym * `ODO_INDEX_COURT` (`varchar`): Short index odonym * `URL` (`varchar`): URL * `CHARACTER` (`varchar`): Character * `POLICE` (`varchar`): Police * `scale` (`integer`): Scale * `USE` (`varchar`): Utility * `NOTES` (`varchar`): Notes * `SOURCE` (`varchar`): Source * `DATE_CREATION` (`smalldatetime`): Created on * `DATE_MODIFICATION` (`smalldatetime`): Modified on * `USER_MODIFICATION` (`varchar`): Modified by * `ICONE` (`varchar`): Icon For more information, consult the metadata on the Isogeo catalog (OpenCatalog link).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Cyanobacteria (also referred to as blue-green algae) are common photosynthetic bacteria that live in surface waters. Under favorable conditions, such as warm water and high nutrient content, these bacteria can form nuisance “blooms”. The presence of blooms in recreational water causes unpleasant aesthetics and exposure to some toxin-producing blooms may pose potential health risks. Contact with blooms can cause skin rashes and irritation, itchy eyes, and ear infections. Inhaling water may cause allergic-like reactions, runny noses or sore throats. Ingestion of toxins can cause a range of symptoms (e.g., hepatotoxic or neurotoxic effects, and even death). There has been increased public awareness as a result of research over the past 20 years, recent monitoring efforts, and increased public education on the topic. In 2009, Alberta Health and Alberta Health Services began seasonal monitoring for cyanobacterial blooms at high use recreational beaches. In 2019, beach operators took over the sampling role from Alberta Health Services under the Alberta Safe Beach Protocol. Water is collected from shallow water adjacent to beaches and submitted to laboratories for analysis of cyanobacterial bloom indicators. These data, along with visual inspection, are used to characterize potential cyanobacterial blooms and issue recreational water use advisories when cyanobacteria are found in a waterbody at levels that can affect human health. The data presented below is organized into two files that contain supporting data and key cyanobacterial bloom indicators, and counts of individual cyanobacteria species, respectively. Each row represents a water sample collected from an Alberta beach. In the cyanobacteria species data, each water sample will have many associated rows of data. Each column represents a piece of information about that water sample (e.g., key indicators and supporting information) that is used to characterize cyanobacterial blooms. Data from the current year (2025) should be considered preliminary and might change with further quality control/quality assurance steps. This dataset is updated monthly between June and September each year. For more information on these indicators please refer to the column descriptions “Usage Considerations” associated with this dataset.