AndreaBozzo/ceres-open-data-index huggingface dataset:
CoClime - Abundance of phytoplankton (Dinophysis acuta), Southwest Ireland - future prediction (2017 - 2035)

This is the output of GBM (Gradient Boosting Model) analyses of D. acuta, abundance data done by MI OCIS and CoCliME project. This output dataset shows abundance of D. acuta in present time (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_acuta_abundance/).   

Suggested Citation: Yamanaka, Tsuyuko; Cusack, Caroline; Nolan, Glenn; Clarke, Dave. (2022) CoClime - Abundance of phytoplankton (Dinophysis acuta), Southwest Ireland - future prediction (2017 - 2035). Marine Institute, Ireland. doi:10/hvs6.

Tags: environment
Organization: Marine Institute
Sensitive Ecosystem Assessment and ROV Exploration of Reef (SeaRover) Synthesis Report 2020.

Picton, B.E., Morrow, C.C., Scally, L., Pfeiffer, N., & McGrath, F. (2021). Sensitive Ecosystem Assessment and ROV Exploration of Reef (SeaRover) Synthesis Report. EMFF 2014-2020 Marine Institute Report Series. Report prepared by MERC Consultants Ltd. on behalf of the Marine Institute, Galway 161 pp. / SeaRover was an extensive offshore reef survey of Ireland?s continental slope commissioned by the Marine Institute in partnership with 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 Marine Institute. The objectives of the survey were to implement the EMFF?s Marine Biodiversity Scheme - Natura Fisheries, by mapping offshore reef habitats with a view to protecting them from deterioration due to fishing pressures. The reef project aligns with sub-article 6.2 of the Habitats Directive (EC 92/43/EEC) which requires member states to take measures to avoid deterioration of protected habitats. The Sensitive Ecosystem Assessment and ROV Exploration of Reef (SeaRover) survey took place between 2017 to 2019. The 2017 and 2018 surveys took place onboard the ILV Granuaile whilst the third survey in 2019 employed the Marine Institute?s RV Celtic Explorer. The Marine Institute?s remotely operated vehicle (ROV) Holland I was used for each of these cruises. The Holland I was equipped with a high-definition (HD) camera, various composite video feeds and a robotic arm for sample collection. The primary aim of the survey was to map the distribution and abundance of biogenic and geogenic reef habitat along Ireland?s continental margin using HD video.

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

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 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/D_acuminata_abundance/).   

Suggested Citation: Yamanaka, Tsuyuko; Cusack, Caroline; Nolan, Glenn; Clarke, Dave. (2022) CoClime - Abundance of phytoplankton (Dinophysis acuminata), Southwest Ireland - future prediction (2017 - 2035). Marine Institute, Ireland. doi:10/hvs8.

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

This is the output of GBM (Gradient Boosting Model) analyses of K. mikimotoi, abundance data done by MI OCIS and CoCliME project. This output dataset shows abundance of K. mikimotoi 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/K_mikimotoi_abundance/).   

Suggested Citation: Yamanaka, Tsuyuko; Cusack, Caroline; Nolan, Glenn; Clarke, Dave. (2022) CoClime - Abundance of phytoplankton (Karenia mikimotoi), Southwest Ireland - present time prediction (1997 - 2016). Marine Institute, Ireland. doi:10/hvs3.

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

This is the output of GBM (Gradient Boosting Model) analyses of K. mikimotoi, abundance data done by MI OCIS and CoCliME project. This output dataset shows abundance of K. mikimotoi in present time (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_abundance/).   

Suggested Citation: Yamanaka, Tsuyuko; Cusack, Caroline; Nolan, Glenn; Clarke, Dave. (2022) CoClime - Abundance of phytoplankton (Karenia mikimotoi), Southwest Ireland - future prediction (2017 - 2035). Marine Institute, Ireland. doi:10/hvs4.

Tags: environment
Organization: Marine Institute
CoClime - Probability of phytoplankton (“Pseudo-nitzschia seriata” complex ) presence, Southwest Ireland - present time prediction (1997 - 2016)

This is the output of GBM (Gradient Boosting Model) analyses of P. seriata presence and absnece data done by MI OCIS and CoCliME project. This output dataset shows prediction of probability of P. seriata presence 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/P_seriata_probability/).   

Suggested Citation: Yamanaka, Tsuyuko; Cusack, Caroline; Clarke, Dave; Nolan, Glenn. (2022) CoClime - Probability of phytoplankton (“Pseudo-nitzschia seriata” complex ) presence, Southwest Ireland - present time prediction (1997 - 2016). Marine Institute, Ireland. doi:10/hvsp.

Tags: environment
Organization: Marine Institute
CoClime - Probability of phytoplankton (“Pseudo-nitzschia seriata” complex ) presence, Southwest Ireland - future prediction (2017 - 2035)

This is the output of GBM (Gradient Boosting Model) analyses of P. seriata presence and absnece data done by MI OCIS and CoCliME project. This output dataset shows prediction of probability of P. seriata 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/P_seriata_probability/).   

Suggested Citation: Yamanaka, Tsuyuko; Cusack, Caroline; Nolan, Glenn; Clarke, Dave. (2022) CoClime - Probability of phytoplankton (“Pseudo-nitzschia seriata” complex ) presence, Southwest Ireland - future prediction (2017 - 2035). Marine Institute, Ireland. doi:10/hvhg.

Tags: environment
Organization: Marine Institute
CoClime - Abundance of phytoplankton (“Pseudo-nitzschia seriata” complex), Southwest Ireland - present time prediction (1997 - 2016)

This is the output of GBM (Gradient Boosting Model) analyses of P.seriata, abundance data done by MI OCIS and CoCliME project. This output dataset shows abundance of P.seriata 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/P_seriata_abundance/).   

Suggested Citation: Yamanaka, Tsuyuko; Cusack, Caroline; Nolan, Glenn; Clarke, Dave. (2022) CoClime - Abundance of phytoplankton (“Pseudo-nitzschia seriata” complex), Southwest Ireland - present time prediction (1997 - 2016). Marine Institute, Ireland. doi:10/hvsz.

Tags: environment
Organization: Marine Institute
CoClime - Abundance of phytoplankton (“Pseudo-nitzschia seriata” complex), Southwest Ireland - future prediction (2017 - 2035)

This is the output of GBM (Gradient Boosting Model) analyses of P.seriata abundance data done by MI OCIS and CoCliME project. This output dataset shows abundance of P.seriata 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/P_seriata_abundance/).   

Suggested Citation: Yamanaka, Tsuyuko; Cusack, Caroline; Nolan, Glenn; Clarke, Dave. (2022) CoClime - Abundance of phytoplankton (“Pseudo-nitzschia seriata” complex), Southwest Ireland - future prediction (2017 - 2035). Marine Institute, Ireland. doi:10/hvs2.

Tags: environment
Organization: Marine Institute
Remote sensing reflectance station data CE19009 & CE19010

This dataset of remote sensing reflectance measurements was collected as part of a Cullen Fellowship PhD between the National University of Ireland, Galway and the Marine Institute. The data was collected on the RV Celtic Explorer during scientific cruises CE19009 and CE19010 in the North East Atlantic from May to July 2019. The data was collected from TriOS RAMSES-ARC Hyperspectral and TriOS RAMSES-ACC-VIS Hyperspectral UV-VIS Radiometers using the TriOS RAMSES MSDA_XE software. These data are the subset of data from stations during daylight hours from these cruises. Remote sensing reflectance measurements were derived using a five step scripted process in Mathworks (Matlab).   

Suggested Citation: Jordan, Catherine; Croot, Peter; Cusack, Caroline; Wollschlaeger, Jochen. (2022) Remote sensing reflectance station data CE19009 & CE19010. Marine Institute, Ireland. doi:10/hwjh.

Tags: environment
Organization: Marine Institute
SmartBay Observatory Combined Sensor Dataset - 15 minute average (August 2015 - Present)

The SmartBay Observatory in Galway Bay is an underwater observatory which uses cameras, probes and sensors to permit continuous and remote live underwater monitoring. It was installed in 2015 on the seafloor 1.5km off the coast of Spiddal, Co. Galway, Ireland at a depth of 20-25m. Underwater observatories allow ocean researchers unique real-time access to monitor ongoing changes in the marine environment. The SmartBay Observatory is an important contribution by Ireland to the growing global network of real-time data capture systems deployed in the ocean.

Data relating to the marine environment at the SmartBay Observatory site is transferred in real-time through a fibre optic telecommunications cable to the Marine Institute headquarters and then made publicly available on the internet. Included is a live video stream, the depth of the observatory node, the water temperature and salinity, and estimates of the chlorophyll and turbidity levels in the water which give an indication of the volume of phytoplankton and other particles, such as sediment, in the water. 

This dataset comprises a summary of numerical data collected from instruments and sensors on the observatory averaged out over a 15-minute period. The data includes temperature, conductivity, pressure, salinity, sound velocity, oxygen concentration, chlorophyll concentration, turbidity, water velocity and sound level measurements of the seawater.     

Suggested Citation: Marine Institute. (2026) SmartBay Observatory Combined Sensor Dataset - 15 minute average (August 2015 - Present) [Data set]. Marine Institute, Ireland. doi: https://doi.org/10.20393/BAC90670-DE19-4E23-A775-C8D95586B30A

Tags: environment
Organization: Marine Institute
Irish Glider Network

The MI glider Network has been running since 2008. The Marine Institute has operated a Slocum G1 glider since 2009. A major upgrade in the glider system through the “EIROOS” (SFI) project in 2019 and the “SeaMonitor” (Interreg) project in 2018 led to the purchase of three G3 Slocum gliders with a suite of sensors (temperature, DO, fluorescence etc.). The Marine Research Infrastructures Team is responsible for the successful operation of the gliders. Technical support for glider operations are provided by P&O technicians.

Tags: environment
Organization: Marine Institute
Carbon Budget dataset for Lough Feeagh, Burrishoole, Co Mayo, Ireland.

Lakes play a key role in the global carbon cycle, transporting, processing and storing organic carbon (OC) along the land-ocean aquatic continuum.  An OC budget for Lough Feeagh (Ireland), an oligotrophic, peatland lake in a temperate oceanic location, was estimated for one year using both direct measurements and elements calculated from literature.  The raw data needed to construct  this budget are included in this datatset, comprising dissolved organic carbon (DOC), water discharge, water temperature, particulate organic carbon (POC), partial pressure of carbon dioxide (PCO2) and wind speed (@10 m). The methods are described in Doyle et al (in prep) "The organic carbon budget of an oligotrophic temperate peatland lake" and more details can be obtained from burrishooleLTER@marine.ie   

Suggested Citation: Doyle, Brian; de Eyto, Elvira; Jennings, Eleanor; Dillane, Mary; McCarthy, Valerie. (2022) Carbon Budget dataset for Lough Feeagh, Burrishoole, Co Mayo, Ireland. Marine Institute, Ireland. doi:10/jd6t.

Tags: environment
Organization: Marine Institute
Irish Argo Float Vertical Profiles

The Marine Research Infrastructures team operate and manage  Ireland's contribution to Argo -  a global array of autonomous floats or profilers, deployed across the world's oceans, reporting subsurface ocean water properties to a wide range of users via satellite transmission links to data centers.  

The international Argo programme currently has a network of approximately 4,000 Argo floats taking measurements in the world’s oceans and is integrated into the Copernicus programme and the Global Earth Observation System of Systems (GEOSS).

Tags: environment
Organization: Marine Institute
Deployment of Argo Float ARVOR 6901931 December 2019

The Argo Float 6901931 was deployed on 06/12/2019 at 9.2691 N, -40.0664 W. The most current measurement was taken on 01/07/2026. The autonomous floats drift on the ocean currents for 10 days at 1000 m before diving to its profiling depth of 2000 m, taking ocean property measurements of temperature and salinity on its ascent to the surface. These two essential climate variables describe the oceans' physical and thermodynamic state. Once surfaced the data are transmitted via satellite. Marine Institute floats used ARGOS communications until 2017, and moved to Iridium communications in 2018 allowing for more information transmitted at faster rates with a two-way communication to the float. The Iridium communication means the float surface times are between 15-30 minutes instead of hours using ARGOS communication. The data are accessible online at Erddap (https://erddap.marine.ie/erddap/tabledap/argoFloats.html) and https://argo.ucsd.edu/data/. The Marine Research Infrastructures team operate and manage Ireland's contribution to Argo -  a global array of autonomous floats or profilers, deployed across the world's oceans, reporting subsurface ocean water properties to a wide range of users via satellite transmission links to data centers.  
The Argo array is an indispensable component of the Global Ocean Observing System (GOOS) required to understand and monitor the role of the ocean in the Earth’s climate system, in particular the heat and water balance.  The International Argo programme currently has a network of approximately 4,000 Argo floats taking measurements in the world’s oceans and is integrated into the Copernicus programme and the Global Earth Observation System of Systems (GEOSS). The Euro-Argo European Research Infrastructure Consortium (ERIC), which Ireland is a member of, aims to sustain 25% of Argo International’s global fleet autonomous floats.

Tags: environment
Organization: Marine Institute
Deployment of Argo Float ARVOR 6901935 September 2020

The Argo Float 6901935 was deployed on 10/09/2020 at 65.802 N, -3.4906 W. The most current measurement was taken on 30/06/2026. The autonomous floats drift on the ocean currents for 10 days at 1000 m before diving to its profiling depth of 2000 m, taking ocean property measurements of temperature and salinity on its ascent to the surface. These two essential climate variables describe the oceans' physical and thermodynamic state. Once surfaced the data are transmitted via satellite. Marine Institute floats used ARGOS communications until 2017, and moved to Iridium communications in 2018 allowing for more information transmitted at faster rates with a two-way communication to the float. The Iridium communication means the float surface times are between 15-30 minutes instead of hours using ARGOS communication. The data are accessible online at Erddap (https://erddap.marine.ie/erddap/tabledap/argoFloats.html) and https://argo.ucsd.edu/data/. The Marine Research Infrastructures team operate and manage Ireland's contribution to Argo -  a global array of autonomous floats or profilers, deployed across the world's oceans, reporting subsurface ocean water properties to a wide range of users via satellite transmission links to data centers.  
The Argo array is an indispensable component of the Global Ocean Observing System (GOOS) required to understand and monitor the role of the ocean in the Earth’s climate system, in particular the heat and water balance.  The International Argo programme currently has a network of approximately 4,000 Argo floats taking measurements in the world’s oceans and is integrated into the Copernicus programme and the Global Earth Observation System of Systems (GEOSS). The Euro-Argo European Research Infrastructure Consortium (ERIC), which Ireland is a member of, aims to sustain 25% of Argo International’s global fleet autonomous floats.

Tags: environment
Organization: Marine Institute
Deployment of Argo Float APEX 6901926 May 2017

The Argo Float 6901926 was deployed on 20/05/2017 at 48.9012 N, -13.576 W. The most current measurement was taken on 01/07/2026. The autonomous floats drift on the ocean currents for 10 days at 1000 m before diving to its profiling depth of 2000 m, taking ocean property measurements of temperature and salinity on its ascent to the surface. These two essential climate variables describe the oceans' physical and thermodynamic state. Once surfaced the data are transmitted via satellite. Marine Institute floats used ARGOS communications until 2017, and moved to Iridium communications in 2018 allowing for more information transmitted at faster rates with a two-way communication to the float. The Iridium communication means the float surface times are between 15-30 minutes instead of hours using ARGOS communication. The data are accessible online at Erddap (https://erddap.marine.ie/erddap/tabledap/argoFloats.html) and https://argo.ucsd.edu/data/. The Marine Research Infrastructures team operate and manage Ireland's contribution to Argo -  a global array of autonomous floats or profilers, deployed across the world's oceans, reporting subsurface ocean water properties to a wide range of users via satellite transmission links to data centers.  
The Argo array is an indispensable component of the Global Ocean Observing System (GOOS) required to understand and monitor the role of the ocean in the Earth’s climate system, in particular the heat and water balance.  The International Argo programme currently has a network of approximately 4,000 Argo floats taking measurements in the world’s oceans and is integrated into the Copernicus programme and the Global Earth Observation System of Systems (GEOSS). The Euro-Argo European Research Infrastructure Consortium (ERIC), which Ireland is a member of, aims to sustain 25% of Argo International’s global fleet autonomous floats.

Tags: environment
Organization: Marine Institute