AndreaBozzo/ceres-open-data-index huggingface dataset:
CoClime - Probability of phytoplankton (Alexandrium species) presence, Southwest Ireland - future prediction (2017 - 2035)

This is the output of GBM (Gradient Boosting Model) analyses of Alexandrium spp. presence and absnece data done by MI OCIS and CoCliME project. This output dataset shows prediction of probability of Alexandrium spp. presence in the future (2017 - 2035) in SW Ireland. The analyses was performed in R 3.6.3, with the packages tidyverse 1.3.0  for data handling and visualisation, and xgboost 1.2.0.1 for boosted regression analyses. The dataset used for analyses is available on MI data catalogue (http://data.marine.ie/geonetwork/srv/eng/catalog.search#/metadata/ie.marine.data:dataset.4445) and the dataset used for prediction is requested to be included in MI data catalogue ([20]. CDF-t Climate run (Climate_run_corr.rds)  in CoCliME model SOP). This dataset is used to visualise the prediction on R Shiny application for present period (https://marine-institute-ireland.shinyapps.io/Alexandrium_probability/ ).   

Suggested Citation: Yamanaka, Tsuyuko; Cusack, Caroline; Nolan, Glenn; Clarke, Dave. (2022) CoClime - Probability of phytoplankton (Alexandrium species) presence, Southwest Ireland - future prediction (2017 - 2035). Marine Institute, Ireland. doi:10/hvsx.

Tags: environment
Organization: Marine Institute
SeaRover 2017 ROV (Remotely Operated Vehicle) Holland videos exported at 720 resolution

SeaRover2017 ROV (Remotely Operated Vehicle) Holland (Marine Institute, Ireland) underwater video files collected during SeaRover 2017 research cruise onboard Irish Lights Vessel Granuaile between 4 July 2017 - 21 July 2017. SeaRover stands for Sensitive Ecosystem Assessment and ROV Exploration of Reef. This survey was commissioned by the National Parks and Wildlife Service (NPWS), funded by the European Maritime and Fisheries Fund (EMFF), and coordinated and led by INFOMAR (Integrated Mapping for the Sustainable Development of Ireland?s Marine Resources) and Ireland?s Marine Institute. During processing videos for each dive had been converted from Linear PCM, Apple ProRes 422, Timecode to AAC, H.264 CODEC, merged and exported at 720 resolution. This dataset consists from 50 video files, which are stored in Marine Institute on a hard drive. The overall digital size of this dataset is 97GB.

Tags: environment
Organization: Marine Institute
SeaRover 2017 ROV (Remotely Operated Vehicle) video survey metadata table

This XL table was created to summarise main information about 50 underwater video transects (incl. collection date, start and end position and time for each ROV dive, summary of geo-biological observations, number of collected seabed samples) collected with ROV Holland onboard Irish Lights Vessel Granuaile during SeaRover 2017 research cruise between 4 July 2017 - 21 July 2017. SeaRover stands for Sensitive Ecosystem Assessment and ROV Exploration of Reef. This survey was commissioned by the National Parks and Wildlife Service (NPWS), funded by the European Maritime and Fisheries Fund (EMFF), and coordinated and led by INFOMAR (Integrated Mapping for the Sustainable Development of Ireland?s Marine Resources) and Ireland?s Marine Institute.

Tags: environment
Organization: Marine Institute
SeaRover 2018 Deep Water Reef Habitat & Species Video Analysis Report

SeaRover2018 ROV (Remote Operated Vehicle) Deep Water Reef Habitat & Species Video Analysis report produced by Giulia La Bianca, Rebecca Ross and Kerry Howell (University of Plymouth) and Commissioned by Marine Institute, Rinville, Oranmore, Co. Galway. This report describes ROV Holland (Marine Institute, Ireland) underwater video data collected during SeaRover 2018 research cruise onboard Irish Lights Vessel Granuaile. Report contains 433 pages. SeaRover stands for Sensitive Ecosystem Assessment and ROV Exploration of Reef. This survey was commissioned by the National Parks and Wildlife Service (NPWS), funded by the European Maritime and Fisheries Fund (EMFF), and coordinated and led by INFOMAR (Integrated Mapping for the Sustainable Development of Ireland?s Marine Resources) and Ireland?s Marine Institute. This technical report provides a detailed ecological analysis of 52 ROV dives: 27 dives encountered geogenic reef, 29 dives encountered biogenic reef, 17 dives hosted neither biogenic nor geogenic reef. This study revealed the following diversity along the surveyed parts of the seabed: 344 putative species were identified from HD video footage supplemented by high resolution imagery (using operational taxonomic unit (OTU) system as it is not always possible to identify fauna to species level); 86 OTUs were identified in the most species rich dive (D538/RB15); 3 OTUs were identified in the least species rich dive (D563/PB34); 52 OTUs were identified on the average dive; 9 OTUs were found in more than half of the transects; 55 OTUs were found in only one transect. 48 potential biotopes were identified in line with the Marine Habitat Classification for Britain and Ireland (v.15.03), of which: 43 are existing biotopes, un-altered from the MHCBI listing; 4 are potential new biotopes, or variant which may warrant becoming new child biotopes; 16 variant biotopes that follow the existing biotope descriptions, but variations of depth zones and morphologies were observed.

Tags: environment
Organization: Marine Institute
SeaRover 2018 ROV (Remotely Operated Vehicle) Dive Transects Shapefile

SeaRover2018 ROV Dive Transects Shapefile "SeaRover2018_Lines.shp" (showing location of ROV Holland dives and linking all related data) ROV Holland (Marine Institute, Ireland) underwater video data collected during SeaRover 2018 research cruise onboard Irish Lights Vessel Granuaile. SeaRover stands for Sensitive Ecosystem Assessment and ROV Exploration of Reef. This survey was commissioned by the National Parks and Wildlife Service (NPWS), funded by the European Maritime and Fisheries Fund (EMFF), and coordinated and led by INFOMAR (Integrated Mapping for the Sustainable Development of Ireland?s Marine Resources) and Ireland?s Marine Institute. Press on a particular dive transect to view additional information including dive summary documents (PDF), full HD video links of each dive and habitat interpretation XL tables. This dataset consits of one shapefile containing information for 47 underwater video transects. To note, videos were recorded along 52 ROV dive transects, however, navigation problems were encountered during five dives, namely: Dive526_RB02, Dive527_RB03, Dive528_RB26, Dive529_ RB27, Dive549_PB05. Thus, these dive tracks were not included in this shapefile.

Tags: environment
Organization: Marine Institute
SeaRover 2018 ROV (Remotely Operated Vehicle) video survey metadata table.

This XL table was created to summarise main information about 52 underwater video transects (incl. collection date, start and end position and time for each ROV (Remote Operated Vehicle) dive, summary of geo-biological observations, number of collected seabed samples) collected with ROV Holland onboard Irish Lights Vessel Granuaile during SeaRover 2018 research cruise between 2 July 2018 - 22 July 2018. SeaRover stands for Sensitive Ecosystem Assessment and ROV Exploration of Reef. This survey was commissioned by the National Parks and Wildlife Service (NPWS), funded by the European Maritime and Fisheries Fund (EMFF), and coordinated and led by INFOMAR (Integrated Mapping for the Sustainable Development of Ireland?s Marine Resources) and Ireland?s Marine Institute. Navigation problems were encountered during five dives, namely: Dive526_RB02, Dive527_RB03, Dive528_RB26, Dive529_ RB27, Dive549_PB05. Thus, these dive tracks were not included in the corresponding shapefile. However, other information about these dives is presented in this metadata table.

Tags: environment
Organization: Marine Institute
CoClime - Probability of phytoplankton (Karenia mikimotoi) presence, Southwest Ireland - future prediction (2017 - 2035)

This is the output of GBM (Gradient Boosting Model) analyses of K. mikimotoi presence and absnece data done by MI OCIS and CoCliME project. This output dataset shows prediction of probability of K. mikimotoi presence in the future (2017 - 2035) in SW Ireland. The analyses was performed in R 3.6.3, with the packages tidyverse 1.3.0  for data handling and visualisation, and xgboost 1.2.0.1 for boosted regression analyses. The dataset used for analyses is available on MI data catalogue (http://data.marine.ie/geonetwork/srv/eng/catalog.search#/metadata/ie.marine.data:dataset.4445) and the dataset used for prediction is requested to be included in MI data catalogue ([20]. CDF-t Climate run (Climate_run_corr.rds)  in CoCliME model SOP). This dataset is used to visualise the prediction on R Shiny application for present period (https://marine-institute-ireland.shinyapps.io/K_mikimotoi_probability/ ).   

Suggested Citation: Yamanaka, Tsuyuko; Cusack, Caroline; Clarke, Dave; Nolan, Glenn. (2022) CoClime - Probability of phytoplankton (Karenia mikimotoi) presence, Southwest Ireland - future prediction (2017 - 2035). Marine Institute, Ireland. doi:10/hvtc.

Tags: environment
Organization: Marine Institute
SeaRover 2018 ROV (Remotely Operated Vehicle) videos exported at 1080 resolution.

SeaRover2018 ROV (Remotely Operated Vehicle) Holland (Marine Institute, Ireland) underwater video files collected during SeaRover 2018 research cruise onboard Irish Lights Vessel Granuaile between 2 July 2018 - 22 July 2018. SeaRover stands for Sensitive Ecosystem Assessment and ROV Exploration of Reef. This survey was commissioned by the National Parks and Wildlife Service (NPWS), funded by the European Maritime and Fisheries Fund (EMFF), and coordinated and led by INFOMAR (Integrated Mapping for the Sustainable Development of Ireland?s Marine Resources) and Ireland?s Marine Institute. 52 ROV transects were surveyed. The vessel travelled 2173 km, 119 hours were spent sampling and recording HD video on the seabed. The ROV surveyed 119.75 km of seafloor whilst collecting 34 biological specimens and 44 sediment samples. During processing videos for each dive had been converted from Linear PCM, Apple ProRes 422, Timecode to AAC, H.264 CODEC, merged and exported at 1080 resolution. This dataset consists from 52 video files, which are stored in Marine Institute on a hard drive. The overall digital size of this dataset is 508GB. Navigation problems were encountered during few dives, namely: Dive526_RB02, Dive527_RB03, Dive528_RB26, Dive529_ RB27, Dive549_PB05. Thus, these dive tracks were not included in the corresponding shapefile. However, video footage for these dives was processed as for other dives and is included in this dataset.

Tags: environment
Organization: Marine Institute
CoClime - Probability of phytoplankton (Dinophysis acuminata) presence, Southwest Ireland - future prediction (2017 - 2035)

This is the output of GBM (Gradient Boosting Model) analyses of D. acuminata presence and absnece data done by MI OCIS and CoCliME project. This output dataset shows prediction of probability of D. acuminata presence in future projection (2017 - 2035) in SW Ireland. The analyses was performed in R 3.6.3, with the packages tidyverse 1.3.0  for data handling and visualisation, and xgboost 1.2.0.1 for boosted regression analyses. The dataset used for analyses is available on MI data catalogue (http://data.marine.ie/geonetwork/srv/eng/catalog.search#/metadata/ie.marine.data:dataset.4445) and the dataset used for prediction is requested to be included in MI data catalogue ([20]. CDF-t Climate run (Climate_run_corr.rds)  in CoCliME model SOP). This dataset is used to visualise the prediction on R Shiny application for present period (https://marine-institute-ireland.shinyapps.io/D_acuminata_probability/).   

Suggested Citation: Yamanaka, Tsuyuko; Cusack, Caroline; Nolan, Glenn; Clarke, Dave. (2022) CoClime - Probability of phytoplankton (Dinophysis acuminata) presence, Southwest Ireland - future prediction (2017 - 2035). Marine Institute, Ireland. doi:10/hvsv.

Tags: environment
Organization: Marine Institute
CoClime - Abundance of phytoplankton (Dinophysis acuminata), Southwest Ireland - present time prediction (1997 - 2016)

This is the output of GBM (Gradient Boosting Model) analyses of D. acuminata abundance data done by MI OCIS and CoCliME project. This output dataset shows abundance of D. acuminata in present time (1997 - 2016) in SW Ireland. The analyses was performed in R 3.6.3, with the packages tidyverse 1.3.0  for data handling and visualisation, and xgboost 1.2.0.1 for boosted regression analyses. The dataset used for analyses is available on MI data catalogue (http://data.marine.ie/geonetwork/srv/eng/catalog.search#/metadata/ie.marine.data:dataset.4445) and the dataset used for prediction is requested to be included in MI data catalogue ([20]. CDF-t Climate run (Climate_run_corr.rds)  in CoCliME model SOP). This dataset is used to visualise the prediction on R Shiny application for present period (https://marine-institute-ireland.shinyapps.io/D_acuminata_abundance/).   

Suggested Citation: Yamanaka, Tsuyuko; Cusack, Caroline; Nolan, Glenn; Clarke, Dave. (2022) CoClime - Abundance of phytoplankton (Dinophysis acuminata), Southwest Ireland - present time prediction (1997 - 2016). Marine Institute, Ireland. doi:10/hvs7.

Tags: environment
Organization: Marine Institute
SeaRover 2019 ROV (Remotely Operated Vehicle) video survey metadata table.

This XL table was created to summarise main information about 52 underwater video transects (incl. collection date, start and end position and time for each ROV (Remote Operated Vehicle) dive, summary of geo-biological observations, number of collected seabed samples) collected with ROV Holland onboard RV Celtic Explorer during SeaRover 2019 research cruise between 1-21 August 2019. SeaRover stands for Sensitive Ecosystem Assessment and ROV Exploration of Reef. This survey was commissioned by the National Parks and Wildlife Service (NPWS), funded by the European Maritime and Fisheries Fund (EMFF), and coordinated and led by INFOMAR (Integrated Mapping for the Sustainable Development of Ireland?s Marine Resources) and Ireland?s Marine Institute.

Tags: environment
Organization: Marine Institute
SeaRover 2019 ROV (Remotely Operated Vehicle) videos exported at 1080 resolution.

SeaRover2019 ROV (Remotely Operated Vehicle) Holland (Marine Institute, Ireland) underwater video files collected during SeaRover 2019 research cruise onboard RV Celtic Explorer between 1-21 August 2019. SeaRover stands for Sensitive Ecosystem Assessment and ROV Exploration of Reef. This survey was commissioned by the National Parks and Wildlife Service (NPWS), funded by the European Maritime and Fisheries Fund (EMFF), and coordinated and led by INFOMAR (Integrated Mapping for the Sustainable Development of Ireland?s Marine Resources) and Ireland?s Marine Institute. 52 ROV transects were surveyed. The scientific objective was to map the distribution and abundance of geogenic and biogenic reef habitat at spatially discreet locations along the southern Porcupine Bank, Porcupine Seabight, Goban Spur, Southwest Approaches and other areas of interest. The scope of work also included collection of biological samples for genetic and population analysis and the collection of sediment cores for ground-truthing acoustic seabed mapping data and analysis of micro-plastics within deep-water sediment. During processing videos for each dive had been converted from Linear PCM, Apple ProRes 422, Timecode to AAC, H.264 CODEC, merged and exported at 1080 resolution. This dataset consists from 52 video files, which are stored in Marine Institute on a hard drive. The overall digital size of this dataset is 409GB.

Tags: environment
Organization: Marine Institute
OSPAR Common Indicator BH3 – Extent of Physical Damage to Predominant and Species Habitat (D6-C2): Sensitivity Analysis

The sensitivity of benthic ecosystem components is determined by their resistance (ability to tolerate disturbance or stress) and resilience (time required to recover). Resistance of a species or habitat can be assessed using a scale and illustrates a species or habitats ability to re-establish from impairment from the physical impact on the seafloor. Resilience from physical impacts on the seafloor is dependent on the benthic components ability to regenerate or recolonize. Predominantly this may only be possible after the impact has ceased or been removed.  Scores from the implementation of resistance and resilience characteristics of benthic components are combined to produce the general sensitivity score matrix.

Tags: environment
Organization: Marine Institute
South Rockall Trough Mooring: Processed CTD Data October 2018 - May 2019

This dataset contains the processed water temperature, salinity (derived from conductivity) and pressure data from CTD instruments from a pilot deep water mooring deployed at a site (15.52 degrees West, 52.999 degrees North) in the South Rockall Trough close to the M6 met-ocean buoy. Data from the buoy is not available for this time period as the buoy broke loose shortly after it was deployed. The pilot sub-surface mooring was deployed in October 2018, then retrieved in May 2019 and consisted of an array of 10 Sea-Bird SBE 37 CTD sensors at a series of fixed depths below the surface (500m, 625m, 750m, 1000m, 1250m, 1500m, 1750m, 2000m, 2500m, 3000m).     This subsurface mooring pilot deployment collected data providing a short intra-annual time-series (~8 months) and complements the annual Marine Institute oceanographic survey to the South Rockall Trough, which has taken place since 2004 (weather conditions permitting). The CTD sensors were fully calibrated by Sea-Bird in Germany both pre and post deployment. Additional sensors on the mooring include ADCP (Acoustic Doppler current profiler) sensors to measure ocean currents and direction, this data is stored in a different file. The mooring was built, deployed and managed by the Marine Institute through discretionary Marine Institute funding and loan of sensors from the National University of Ireland Galway (NUIG). At present there are no operational or project funds available to maintain a continuous series of moorings at the South Rockall Trough location but when logistics and infrastructure are available future deployments may take place. The data from the deployment help understand the variability in the water column not visible at the surface and provide context to CTD profile data collected at 12-18 month resolution in the South Rockall Trough. These data are vital in understanding the likely impact of future ocean climate scenarios on key marine sectors as well as understanding possible impacts on ecosystem in the North East Atlantic Ocean.    The raw temperature, salinity and pressure data has been checked for any sensor drifts and interpolated onto a high resolution (20 dbar) vertical grid (420 – 3060 dbar) following McCarthy et al. (2015) (https://doi.org/10.1016/j.pocean.2014.10.006) . This is achieved by integrating EN4 data derived (for the period August 2018- May 2019) temperature and salinity gradients between adjacent instruments.   

Suggested Citation: McCarthy, Gerard Daniel; Caesar, Levke. (2021) South Rockall Trough Mooring: Processed CTD Data October 2018 - May 2019. Marine Institute, Ireland. doi:10/gxnb.

Tags: environment
Organization: Marine Institute
OSPAR Common Indicator BH3 – Extent of Physical Damage to Predominant and Species Habitat (D6-C2): Pressure Analysis

The main activities driving pressures on benthic habitats, based on Commission Directive 845/2017 are:   - extraction of living resources (fish and shellfish harvesting);   - transport;   - extraction of non-living resources;   - production of energy; and cultivation of living resources (marine aquaculture).   For example, data from the Offshore Fishing Activity Monitoring is factored into this spatial assessment as a pressure. The predominant fishing activity associated with abrasion on the seafloor is demersal trawling and dredging. The Offshore Fishing Activity Monitoring dataset includes several steps and is defined in the OSPAR VMS and Logbook data call serviced through the ICES secretariat. Trawling effort is classified as an intensity scale using the effort data as swept area ratios (SAR’s). The intensity is scaled using 5 categories ranging from none to very high. An area fished more than 3 times is classed as being highly disturbed.

Tags: environment
Organization: Marine Institute
SeaRover 2019 ROV (Remotely Operated Vehicle) videos exported at 720 resolution.

SeaRover2019 ROV (Remotely Operated Vehicle) Holland (Marine Institute, Ireland) underwater video files collected during SeaRover 2019 research cruise onboard RV Celtic Explorer between 1-21 August 2019. SeaRover stands for Sensitive Ecosystem Assessment and ROV Exploration of Reef. This survey was commissioned by the National Parks and Wildlife Service (NPWS), funded by the European Maritime and Fisheries Fund (EMFF), and coordinated and led by INFOMAR (Integrated Mapping for the Sustainable Development of Ireland?s Marine Resources) and Ireland?s Marine Institute. 52 ROV transects were surveyed. The scientific objective was to map the distribution and abundance of geogenic and biogenic reef habitat at spatially discreet locations along the southern Porcupine Bank, Porcupine Seabight, Goban Spur, Southwest Approaches and other areas of interest. The scope of work also included collection of biological samples for genetic and population analysis and the collection of sediment cores for ground-truthing acoustic seabed mapping data and analysis of micro-plastics within deep-water sediment. During processing videos for each dive had been converted from Linear PCM, Apple ProRes 422, Timecode to AAC, H.264 CODEC, merged and exported at 720 resolution. This dataset consists from 52 video files, which are stored in Marine Institute on a hard drive. The overall digital size of this dataset is 409GB.

Tags: environment
Organization: Marine Institute
INFOMAR Magnetometer

The Integrated Mapping FOr the Sustainable Development of Ireland's MArine Resource (INFOMAR) programme is a joint venture between the Geological Survey Ireland (GSI) and the Marine Institute (MI).  The Magnetometer dataset is an auxiliary dataset that measures the magnetic field or field anomalies at a particular location. Data is collected on an ongoing basis as part of the yearly INFOMAR Surveys.  The data is collected as part of INFOMAR surveys onboard research Vessels.  No further processing is done on this dataset. The Magnetometer dataset is an auxiliary INFOMAR dataset used for to measure magnetic field variations, this is particularly important in the detection of shipwrecks.
For specific information or to request this data, please visit The Marine Institute’s Data Request service: https://www.marine.ie/data-request

Tags: environment
Organization: Marine Institute
Irish Marine Data Buoy Observation Network (IMDBON) Weather Buoy at M3 (North East Atlantic) 2002- Present

The M3 Weather Buoy is part of the Irish Weather Buoy Network and is designed to improve weather forecasts and safety at sea around Ireland. The buoy network provides vital data for weather forecasts, shipping bulletins, gale and swell warnings as well as data for general public information and research. Buoy data is also helpful for validating our operational models. The project is the result of successful collaboration between the Marine Institute, Met Eireann, the UK Met Office and the Irish Department of Transport, Tourism and Sport. This infrastructure has been part-funded under the Marine RTDI Measure of the National Development Plan 2000-2006, co-funded by the European Regional Development Fund (ERDF). M3 is deployed directly southwest off Mizen Head in Co. Cork.

Tags: environment
Organization: Marine Institute