CIOOS Atlantic ERDDAP
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griddap Subset tabledap Make A Graph wms files Title Summary FGDC ISO 19115 Info Background Info RSS Email Institution Dataset ID
https://cioosatlantic.ca/erddap/fr/tabledap/coastal_action_7471_9460_c025.subset https://cioosatlantic.ca/erddap/fr/tabledap/coastal_action_7471_9460_c025 https://cioosatlantic.ca/erddap/fr/tabledap/coastal_action_7471_9460_c025.graph https://cioosatlantic.ca/erddap/fr/files/coastal_action_7471_9460_c025/ Atlantic Canada Microplastic Research Project (2017-2020) The purpose of the Atlantic Canada Microplastic Research Project (2017-2020) is to determine the quantity of microplastics in 3 near-shore communities of Atlantic Canada.  Data will be used to better inform the conversation and solutions around plastic pollution in the region.  The project is funded by Environment and Climate Change Canada and is in partnership with Clean Annapolis River Project (CARP), ACAP Humber Arm, and Dr. Max Liboiron at the Civic Laboratory for Environmental Action Research (CLEAR) out of Memorial University of Newfoundland (MUN).  Dr.  Max Liboiron is our chief academic advisor on the 3-year project, assisting with project development, methods and protocol, and sampling design.  The project included sampling both surface water and beach sediment at all three study locations.  The surface water trawling equipment was built using CLEAR's low-aquatic debris instrument (LADI) design.  This document contains the results from the 2018 surface water samples.  Sediment data results for 2018 and hot-spot data from 2019 will be available in 2020.\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime (Start Datetime, seconds since 1970-01-01T00:00:00Z)\nend_datetime (seconds since 1970-01-01T00:00:00Z)\ndate_collected (seconds since 1970-01-01T00:00:00Z)\nstudy_area\nlocation\nsample_id\nplastic_id\ntype\nsize_class\ncolour\ncolour_2\nerosion\nerosion_type\nerosion_type_2\nbeaufort_sea_state\ntrawl_speed (knots)\n... (14 more variables)\n https://cioosatlantic.ca/erddap/fr/metadata/fgdc/xml/coastal_action_7471_9460_c025_fgdc.xml https://cioosatlantic.ca/erddap/fr/metadata/iso19115/xml/coastal_action_7471_9460_c025_iso19115.xml https://cioosatlantic.ca/erddap/fr/info/coastal_action_7471_9460_c025/index.htmlTable https://www.coastalaction.org/microplastics.html (lien externe) https://cioosatlantic.ca/erddap/rss/coastal_action_7471_9460_c025.rss https://cioosatlantic.ca/erddap/fr/subscriptions/add.html?datasetID=coastal_action_7471_9460_c025&showErrors=false&email= Coastal Action coastal_action_7471_9460_c025
https://cioosatlantic.ca/erddap/fr/tabledap/NL_Climate_Index.subset https://cioosatlantic.ca/erddap/fr/tabledap/NL_Climate_Index https://cioosatlantic.ca/erddap/fr/tabledap/NL_Climate_Index.graph https://cioosatlantic.ca/erddap/fr/files/NL_Climate_Index/ Newfoundland and Labrador climate index The Newfoundland and Labrador (NL) climate index aims to describe the environmental conditions on the NL shelf and in the Northwest Atlantic as a whole. It consists of annual normalized anomalies of 10 subindices with equal contribution: Winter North Atlantic Oscillation, air temperature, sea ice, icebergs, sea surface temperature, vertically-averaged temperature and salinity at Station~27, cold intermediate layer (CIL) core temperature at Station~27, CIL area on 3 hydrographic sections and bottom temperature on the NL shelf. This index runs from 1951 to 2019 and will be updated annually. Data associated with Cyr, F. and Galbraith, P. S.: A climate index for the Newfoundland and Labrador shelf, Earth Syst. Sci. Data, 13, 1807-1828, https://doi.org/10.5194/essd-13-1807-2021, 2021.\n\ncdm_data_type = Other\nVARIABLES:\ndataset\nyear\nclimate_index\n https://cioosatlantic.ca/erddap/fr/info/NL_Climate_Index/index.htmlTable https://doi.org/10.20383/101.0301 (lien externe) https://cioosatlantic.ca/erddap/rss/NL_Climate_Index.rss https://cioosatlantic.ca/erddap/fr/subscriptions/add.html?datasetID=NL_Climate_Index&showErrors=false&email= DFO-MPO, MUN NL_Climate_Index
https://cioosatlantic.ca/erddap/fr/tabledap/NL_Climate_Index_all_fields.subset https://cioosatlantic.ca/erddap/fr/tabledap/NL_Climate_Index_all_fields https://cioosatlantic.ca/erddap/fr/tabledap/NL_Climate_Index_all_fields.graph https://cioosatlantic.ca/erddap/fr/files/NL_Climate_Index_all_fields/ Newfoundland and Labrador climate index, All Fields Individual subindices used to construct the Newfoundland and Labrador climate index. Each subindex is normalized using the 1991-2020 climatological period. Some signs were reversed so that positive anomalies are indicative of warmer conditions (e.g. sea ice).  Newfoundland and Labrador climate index - All Fields. The Newfoundland and Labrador (NL) climate index aims to describe the environmental conditions on the NL shelf and in the Northwest Atlantic as a whole. It consists of annual normalized anomalies of 10 subindices with equal contribution: Winter North Atlantic Oscillation, air temperature, sea ice, icebergs, sea surface temperature, vertically-averaged temperature and salinity at Station~27, cold intermediate layer (CIL) core temperature at Station~27, CIL area on 3 hydrographic sections and bottom temperature on the NL shelf. This index runs from 1951 to 2019 and will be updated annually. Data associated with Cyr, F. and Galbraith, P. S.: A climate index for the Newfoundland and Labrador shelf, Earth Syst. Sci. Data, 13, 1807-1828, https://doi.org/10.5194/essd-13-1807-2021, 2021.\n\ncdm_data_type = Other\nVARIABLES:\ndataset\nYear\nWinter_NAO\nAir_Temp\nSea_Ice\nIcebergs\nSST (Sea Surface Temperature)\nS27_Temp\nS27_Sal\nS27_CIL\nCIL_area\nbottom_temp\n https://cioosatlantic.ca/erddap/fr/info/NL_Climate_Index_all_fields/index.htmlTable https://doi.org/10.20383/101.0301 (lien externe) https://cioosatlantic.ca/erddap/rss/NL_Climate_Index_all_fields.rss https://cioosatlantic.ca/erddap/fr/subscriptions/add.html?datasetID=NL_Climate_Index_all_fields&showErrors=false&email= DFO-MPO, MUN NL_Climate_Index_all_fields
https://cioosatlantic.ca/erddap/fr/tabledap/NL_Climate_Index_natrual_signs.subset https://cioosatlantic.ca/erddap/fr/tabledap/NL_Climate_Index_natrual_signs https://cioosatlantic.ca/erddap/fr/tabledap/NL_Climate_Index_natrual_signs.graph https://cioosatlantic.ca/erddap/fr/files/NL_Climate_Index_natrual_signs/ Newfoundland and Labrador climate index, Natural Signs Individual subindices of the Newfoundland and Labrador climate index in their natural sign. Each subindex is normalized using the 1991-2020 climatological period.  Newfoundland and Labrador climate index - Natural Signs. The Newfoundland and Labrador (NL) climate index aims to describe the environmental conditions on the NL shelf and in the Northwest Atlantic as a whole. It consists of annual normalized anomalies of 10 subindices with equal contribution: Winter North Atlantic Oscillation, air temperature, sea ice, icebergs, sea surface temperature, vertically-averaged temperature and salinity at Station~27, cold intermediate layer (CIL) core temperature at Station~27, CIL area on 3 hydrographic sections and bottom temperature on the NL shelf. This index runs from 1951 to 2019 and will be updated annually. Data associated with Cyr, F. and Galbraith, P. S.: A climate index for the Newfoundland and Labrador shelf, Earth Syst. Sci. Data, 13, 1807-1828, https://doi.org/10.5194/essd-13-1807-2021, 2021.\n\ncdm_data_type = Other\nVARIABLES:\ndataset\nYear\nWinter_NAO\nAir_Temp\nSea_Ice\nIcebergs\nSST (Sea Surface Temperature)\nS27_Temp\nS27_Sal\nS27_CIL\nCIL_area\nBottom_Temp\n https://cioosatlantic.ca/erddap/fr/info/NL_Climate_Index_natrual_signs/index.htmlTable https://doi.org/10.20383/101.0301 (lien externe) https://cioosatlantic.ca/erddap/rss/NL_Climate_Index_natrual_signs.rss https://cioosatlantic.ca/erddap/fr/subscriptions/add.html?datasetID=NL_Climate_Index_natrual_signs&showErrors=false&email= DFO-MPO, MUN NL_Climate_Index_natrual_signs
https://cioosatlantic.ca/erddap/fr/griddap/bio_remote_sensing_modis_aqua_chl_poly4 https://cioosatlantic.ca/erddap/fr/griddap/bio_remote_sensing_modis_aqua_chl_poly4.graph https://cioosatlantic.ca/erddap/fr/wms/bio_remote_sensing_modis_aqua_chl_poly4/request https://cioosatlantic.ca/erddap/fr/files/bio_remote_sensing_modis_aqua_chl_poly4/ POLY4 Chlorophyll-a MODIS-Aqua Data in the Northwest Atlantic, 2002-2023 NWA Moderate Resolution Imaging Spectroradiometer (MODIS)-AQUA CHL_POLY4\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll-a Concentration (POLY4v2 model with coefficients optimized to MODIS-AQUA and Northwest Atlantic), mg m-3)\n https://cioosatlantic.ca/erddap/fr/metadata/fgdc/xml/bio_remote_sensing_modis_aqua_chl_poly4_fgdc.xml https://cioosatlantic.ca/erddap/fr/metadata/iso19115/xml/bio_remote_sensing_modis_aqua_chl_poly4_iso19115.xml https://cioosatlantic.ca/erddap/fr/info/bio_remote_sensing_modis_aqua_chl_poly4/index.htmlTable https://bio-rsg.github.io/ (lien externe) https://cioosatlantic.ca/erddap/rss/bio_remote_sensing_modis_aqua_chl_poly4.rss https://cioosatlantic.ca/erddap/fr/subscriptions/add.html?datasetID=bio_remote_sensing_modis_aqua_chl_poly4&showErrors=false&email= dfo_bio bio_remote_sensing_modis_aqua_chl_poly4
https://cioosatlantic.ca/erddap/fr/griddap/bio_remote_sensing_occci_poly4 https://cioosatlantic.ca/erddap/fr/griddap/bio_remote_sensing_occci_poly4.graph https://cioosatlantic.ca/erddap/fr/wms/bio_remote_sensing_occci_poly4/request https://cioosatlantic.ca/erddap/fr/files/bio_remote_sensing_occci_poly4/ POLY4 Chlorophyll-a OC-CCI Data in the Northwest Atlantic, 1997-Present Chlorophyll-a concentration (Chl-a) is used as a proxy for phytoplankton biomass to track blooms and monitor the state of the ecosystem. This dataset contains daily satellite Chl-a since Sep 1997. The data is at a 4.64x4.64 km spatial resolution covering an area of the Northwest Atlantic from 39-82°N, 42-95°W. Regionally-tuned coefficients for POLY4 Chl-a (Clay et al., 2019, see resources) were obtained by matching level-3 gridded 1km-resolution satellite pixels to in situ HPLC (High Performance Liquid Chromatography) Chl-a samples within the region of interest. POLY4 Chl-a was then optimized by forcing the linear regression of POLY4 against HPLC to the 1:1 line to reduce the negative bias observed in higher concentrations in the default global Chl-a models. Daily Chl-a images were generated by applying the optimized POLY4 algorithm on level-3 binned remote sensing reflectance (Rrs) data from the OC-CCI multisensor product generated by the Plymouth Marine Laboratory (PML) as part of the European Space Agency (ESA) climate change initiative. The Chl-a data were then projected onto an Equidistant Cylindrical grid (4.64x4.64 km per pixel) using a nearest neighbour method.  This model and the Northwest Atlantic coefficients are available in the R package oceancolouR (https://github.com/BIO-RSG/oceancolouR).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll-a Concentration (POLY4v1 model with coefficients optimized to OC-CCI multisensor product in the Northwest Atlantic), mg m-3)\n https://cioosatlantic.ca/erddap/fr/metadata/fgdc/xml/bio_remote_sensing_occci_poly4_fgdc.xml https://cioosatlantic.ca/erddap/fr/metadata/iso19115/xml/bio_remote_sensing_occci_poly4_iso19115.xml https://cioosatlantic.ca/erddap/fr/info/bio_remote_sensing_occci_poly4/index.htmlTable https://bio-rsg.github.io/ (lien externe) https://cioosatlantic.ca/erddap/rss/bio_remote_sensing_occci_poly4.rss https://cioosatlantic.ca/erddap/fr/subscriptions/add.html?datasetID=bio_remote_sensing_occci_poly4&showErrors=false&email= dfo_bio bio_remote_sensing_occci_poly4

 
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