The data were collected during two research projects: Development of community-based monitoring for aquatic invasive species in the Canadian Arctic - preparing for increased shipping related to resource development and climate change; Diversity of pelagic primary producers in coastal habitats and the potential for harmful blooms in Eastern Canadian Arctic, with a focus near Iqaluit, Nunavut. Funding was provided by Polar Knowledge Canada, Fisheries and Oceans Canada (Strategic Program for Ecosystem-based Research and Advice, Aquatic Invasive Species Program and Oceans Ocean Protection Plan) and the Nunavik Marine Region Wildlife Board. These data are the abundance, richness and diversity of dinoflagellate communities in Canadian Arctic seaports to provide baseline data and to verify the presence of potential non-indigenous species and harmful taxa. These data can be used as a reference source for monitoring the introduction of potentially non-native species introduced into Arctic ports where shipping activities are high. SAMPLING Dinoflagellate samples were collected using a 20 μm (30 cm diameter) Nitex® plankton net during August in Churchill (MB) (2007 and 2015), in Deception Bay (QC ) (2016), in Iqaluit (NU) (2015 and 2019) and in Milne Inlet (2017). Samples were collected from 1 m of the surface to 1 m above the bottom. PREPARATION : Samples were stored in 4% formaldehyde. Sample preparation and counting were performed using the Utermöhl method. OBSERVATION : Samples were observed using an inverted microscope (NIKON Eclipse TE-2000-U) under a magnification of 200x. ABUNDANCE : The calculation of the abundance of dinoflagellates (cell / liter) was carried out as follows: Number of cells X Volume of the bottle / Volume of the Utermöhl chamber / (pi X Radius^2 X Depth) X 1000 ENVIRONMENTAL VARIABLES Environmental data were measured using a CTD and a Secchi disk. The time between sea ice melt and sampling was calculated by subtracting the sampling day from the breakup dates (ice concentration <1/10) which were extracted from the Canadian Ice Service records. For further information, please consult the following paper: Dhifallah F, Rochon A, Simard N, McKindsey CW, Gosselin M, Howland KL. 2022. Dinoflagellate communities in high-risk Canadian Arctic ports. Estuarine, Coastal and Shelf Science 266:107731

PURPOSE: Provide early detection of newly arrived Aquatic Invasive Species (AIS) and determine the spread, establishment and spatial distribution of existing AIS within marine waters of the southern Gulf of St. Lawrence (sGSL), DFO Gulf Region boundaries (northern and eastern coastal shores of NB, Gulf shore of NS, and PEI shoreline). DESCRIPTION: DFO Science monitors for AIS in the Gulf Region. The data collected from DFO's biofouling monitoring program provides an overview of the distribution and abundance of Aquatic Invasive Species (AIS) in the Gulf Region. This information can be used by the general public, scientists and DFO managers. Monitoring program targeting aquatic invasive species (AIS). Native biofouling species are not included in this dataset. Botrylloides violaceus: Violet tunicate Botryllus schlosseri: Golden star tunicate Ciona intestinalis: Vase tunicate Styela clava: Clubbed tunicate Caprella mutica*: Japanese skeleton shrimp Membranipora membranacea: Coffin box bryozoan Carcinus maenas*: European green crab Codium fragile*: Oyster thief alga *indicates species that are not included as percent cover as they are not accurately captured by the sampling method, but are included as detections. Included here is a dataset of detection and percent cover data of AIS, as well as a monitoring station dataset. Environmental data collected, including from temperature loggers, are stored but not included here. PARAMETERS COLLECTED: Air and water temperature, salinity, depth, dissolved oxygen, weather conditions, list of biofouling AIS, percent cover of AIS on PVC plates. NOTES ON QUALITY CONTROL: Each sample and species is processed and identified in a standardized fashion using standardized DFO Science AIS protocols and taxonomic references. Data is manually entered into DFO Gulf Region's AIS Science biofouling database and randomly verified for accuracy. SAMPLING METHODS: Biofouling monitoring is conducted using PVC collector plates that are deployed in the water column approximately 1 meter below the sea surface in the spring of each year. Biofouling organisms settle on these plates which are collected in the fall of the same year. Abundances of AIS are given as percent plate cover. Physico-chemical data including temperature, conductivity, and depth as well as weather conditions are noted at each geo-referenced biofouling monitoring site during initial deployment and at time of retrieval. All biofouling organisms settled on the underside of the PVC plates are noted and percent cover of each AIS is estimated. USE LIMITATION: To ensure scientific integrity and appropriate use of the data, we would encourage you to contact the data custodian.