AndreaBozzo/ceres-open-data-index huggingface dataset:
Irish Marine Data Buoy Observation Network (IMDBON) Weather Buoy at M4 (North East Atlantic) 2003- Present

The M4 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). M4 is deployed directly north-west off Donegal Bay off the north-west coast of Ireland.

Tags: environment
Organization: Marine Institute
Irish Marine Data Buoy Observation Network (IMDBON) Weather Buoy at M5 (Celtic Sea) 2004 - Present

The M5 Weather Buoy was part of the Irish Weather Buoy Network 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). M5 deployed directly off Hook Head off the southeast coast of Ireland.

Tags: environment
Organization: Marine Institute
Irish Marine Data Buoy Observation Network (IMDBON) Weather Buoy at M6 (Deep Atlantic) 2006- Present

The M6 Weather Buoy as part of the Irish Marine Data Buoy Network is designed to improve weather forecasts and safety at sea around Ireland. M6 is deployed west of Co. Galway off the west coast of Ireland beyond the continental shelf in deep waters approximately 250 nautical miles west of Slyne Head in the South Rockall Trough.      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).

Tags: environment
Organization: Marine Institute
Harmful Algal Blooms (HABs) weekly maximum and environmental dataset 1997-2016 North East Atlantic Ocean

This dataset was created for niche modelling (GBM model) with weekly maximum HAB species cell counts per ID (this ID matching Climate_run_corr.rds and Projection_corr.rds) and combined with Climate_run_corr.rds. This 20 year dataset contains data on weekly maximum cell abundance of harmful taxa, namely, Dinophysis acuta, Dinophysis acuminata, total Dinophysis spp., “Pseudo-nitzschia delicatissima” complex, “Pseudo-nitzschia seriata” complex, total Pseudo-nitzschia spp., Karenia mikimotoi and total Karenia spp. and environmental data, Sea Surface Temperature, Near Bottom Temperature, Sea Surface Salinity, Near Bottom Salinity and Potential Envergy Defecit in the period from 1st January 1997 to 31st December 2016; this time period matches the hindcast numerical model output (20 year hindcast [1997-2016], SW_IRL_ROMS_Hindcast).   

Suggested Citation: Yamanaka, Tsuyuko; Fabri-Ruiz, Salomé; Nagy, Hazem; Pereiro, Diego; Cusack, Caroline; Nolan, Glenn; Dabrowski, Tomasz; Clarke, Dave. (2021) Harmful Algal Blooms (HABs) weekly maximum and environmental dataset 1997-2016 North East Atlantic Ocean. Marine Institute, Ireland. doi:10/fvsf.

Tags: environment
Organization: Marine Institute
CoCliME (Co-development of Climate Services for adaptation to changing Marine Ecosystems) Harmful Algal Blooms (HABs) Data 1997 - 2016

This 20 year dataset contains data on cell abundance of harmful taxa, namely, Dinophysis acuta, Dinophysis acuminata, total Dinophysis spp., “Pseudo-nitzschia delicatissima” complex, “Pseudo-nitzschia seriata” complex, total Pseudo-nitzschia spp., Karenia mikimotoi and total Karenia spp.  in the period from 1st January 1997 to 31st December 2016; this time period matches the hindcast numerical model output (20 year hindcast [1997-2016], SW_IRL_ROMS_Hindcast). The geographic boundary box of in-situ sites in this database is located similar to the hindcast model domain, i.e., 11.602° W ; 8.025° W and 50.078° N; 52.788° N.   

Suggested Citation: Yamanaka, Tsuyuko; Clarke, Dave; Cusack, Caroline; Nolan, Glenn. (2021) CoCliME (Co-development of Climate Services for adaptation to changing Marine Ecosystems) Harmful Algal Blooms (HABs) Data 1997 - 2016. Marine Institute, Ireland. doi:10/fvsg.

Tags: environment
Organization: Marine Institute
Harmful Algal Blooms (HABs) weekly mean and environmental dataset 1997-2016 North East Atlantic Ocean

This dataset was created for ZINB GAMM with (Harmful Algal Blooms) HABs weekly mean and wekly mean dataset from hindcast model.This 20 year dataset contains data on weekly mean cell abundance of harmful taxa, namely, Dinophysis acuta, Dinophysis acuminata, total Dinophysis spp., “Pseudo-nitzschia delicatissima” complex, “Pseudo-nitzschia seriata” complex, total Pseudo-nitzschia spp., Karenia mikimotoi and total Karenia spp. and environmental data, Sea Surface Temperature, Near Bottom Temperature, Sea Surface Salinity, Near Bottom Salinity, Mixed Layer Depth and Potential Envergy Defecit in the period from 1st January 1997 to 31st December 2016; this time period matches the hindcast numerical model output (20 year hindcast [1997-2016], SW_IRL_ROMS_Hindcast).   

Suggested Citation: Yamanaka, Tsuyuko; Nagy, Hazem; Nolan, Glenn; Cusack, Caroline; Dabrowski, Tomasz; Clarke, Dave. (2021) Harmful Algal Blooms (HABs) weekly mean and environmental dataset 1997-2016 North East Atlantic Ocean. Marine Institute, Ireland. doi:10/fvsh.

Tags: environment
Organization: Marine Institute
CoCliME (Co-development of Climate Services for adaptation to changing Marine Ecosystems) Harmful Algal Blooms (HABs) and Toxin Weekly Maximum Data 2011-2019

This 9 year dataset contains data on maximum cell abundance of harmful taxa per week in each location, namely, Dinophysis acuta, Dinophysis acuminata, total Dinophysis spp., “Pseudo-nitzschia delicatissima” complex, “Pseudo-nitzschia seriata” complex, total Pseudo-nitzschia spp., Karenia mikimotoi and total Karenia spp. as well as maximum toxin level per week in each location (HY OA, HY DTX1, HY DTX2, PTX1, PTX2) in the period from 1st January 2011 to 31st December 2019. As stated in the script used to process this dataset,   

Suggested Citation: Yamanaka, Tsuyuko; Clarke, Dave; Cusack, Caroline; Nolan, Glenn. (2021) CoCliME (Co-development of Climate Services for adaptation to changing Marine Ecosystems) Harmful Algal Blooms (HABs) and Toxin Weekly Maximum Data 2011-2019. Marine Institute, Ireland. doi:10/fvrx.

Tags: environment
Organization: Marine Institute
Wrecks

Displays wrecks from the National Monuments Service’s Wreck Inventory of Ireland Database (WIID) for which there is a recorded location. There is data held within the WIID on a large number of wrecks for which we have no precise recorded location, co-ordinate or known extent.     Of the approximate 18,000 records, only 4,000 have precise locations leaving approximately 14,000 wrecks in the WIID database for which a location has yet to be confirmed.  The location given equates with the known approximate centre point of the wreck and is not indicative of its geographic or spatial extent. Wrecks in the database have a summary description, providing information on the original vessel, their history, voyage, cargo, passengers and the story of its loss, where known. The data has been collated from a variety of sources including INFOMAR, UKHO, wrecksite.eu and uboat.net.

Tags: environment
Organization: Marine Institute
Dublin Bay Biosphere

Biospheres are places where nature and culture connect. In 1981, UNESCO recognised the importance of Dublin Bay by designating North Bull Island as a Biosphere because of its rare and internationally important habitats and species of wildlife. To support sustainable development, UNESCO’s concept of a Biosphere has evolved to include not just areas of ecological value but also the areas around them and the communities that live and work within these areas. There have since been additional international and national designations, covering much of Dublin Bay, to ensure the protection of its water quality and biodiversity.    To fulfil these broader management aims for the ecosystem, the Biosphere was expanded in 2015. The Biosphere now covers Dublin Bay, reflecting its significant environmental, economic, cultural and tourism importance, and extends to over 300km². Over 300,000 people live within the newly enlarged Biosphere.    Dublin Bay Biosphere contains three different zones, which are managed in different ways:    1. The core zone of Dublin Bay Biosphere comprises 50km² of areas of high natural value. Key areas include the Tolka and Baldoyle Estuaries, Booterstown Marsh, Howth Head, North Bull Island, Dalkey Island and Ireland’s Eye.    2. The buffer zone comprises 82km² of public and private green spaces such as parks, greenbelts and golf courses, which surround and adjoin the core zones.    3. The transition zone comprises 173km² and forms the outer part of the Biosphere. It includes residential areas, harbours, ports and industrial and commercial areas.

Tags: environment
Organization: Dublin Bay Biosphere
Harbour Limits (Harbours Act, 1996)

Harbour limits describe the legal limits within which companies may be formed with respect to geographical location of a harbour. That is, a company the harbour of which is situate in the pilotage district of a pilotage authority shall organise and ensure the provision of pilotage services in that pilotage district. Pilotage can be interpreted as the regulations governing the use of a harbour or any docks. The Government of Ireland ratified into law the Harbours Act in 1996, which contains explicit guidance on the stipulations of each harbour in the Republic of Ireland.  All harbour and pilotage limits described in http://www.irishstatutebook.ie/eli/1996/act/11/schedule/3/enacted/en/html#sched3 have been digitized, with confirmation sought from local harbours.  For each port listed in the National Ports Policy (https://assets.gov.ie/11557/277d22d364fe4c13be390493282c0557.PDF), legislation was sought out describing both the harbour and pilotage district limits of each port. Harbour and pilotage district limits were digitized with reference to the legislation as described in the Harbours Act (1996), and subsequent amendments. Once digitized, all ports were contacted for additional input and validation.    This dataset contains the harbour and pilotage district limits for ports listed in the National Ports Policy only where their limits were described within the legislation. While all ports were contacted for validation, only a subset of these ports replied. A summary table of the included ports, limits, legislation source, and validation status has been included below.

Tags: environment
Organization: Marine Institute
Daily counts of migration of Atlantic salmon (Salmo salar),  trout (Salmo trutta) and European eel (Anguilla anguilla) in and out of the Burrishoole traps, Co. Mayo, Ireland, 1970-2020.

The Burrishoole traps (on the Salmon leap and the Mill race) in Co. Mayo Ireland, capture every fish that migrates between the freshwater portion of the Burrishoole catchment and the sea, and are situated between Lough Feeagh and Lough Furnace. The traps are emptied every day, and fish are manually counted and released downstream or upstream. This dataset comprises the daily counts of salmon (Salmo salar), trout (Salmo trutta) and silver eel (Anguilla anguilla) from 1970 to 2020. Data have undergone QA/QC and checked for erroneous entries. More recent data can be requested or downloaded from the Marine Institute through www.marine.ie. Additional information can be obtained from burrishooleLTER@marine.ie     The Burrishoole fish traps have the following locations: Salmon leap: 53.920323, -9.584348 and Mill Race: 53.924081, -9.571727.    

Suggested Citation: Rogan, Ger; French, Andrew; Poole, Russell; Kelly, Sean; Cooney, Joseph; de Eyto, Elvira; Dillane, Mary; Drumm, Alan; Hughes, Pat; Maxwell, Hugo; Murphy, Michael; Nixon, Pat; Sweeney, David. (2021) Daily counts of migration of Atlantic salmon (Salmo salar),  trout (Salmo trutta) and European eel (Anguilla anguilla) in and out of the Burrishoole traps, Co. Mayo, Ireland, 1970-2020. Marine Institute, Ireland. doi:10/fq6z.

Tags: environment
Organization: Marine Institute
Marine Danger Areas

The locations of military danger and restricted areas that can affect coastal areas in Ireland. The boundaries of the danger and restricted areas were digitised using coordinates and instructions provided in the Irish Aviation Authority’s Integrated Aeronautical Information Package, last updated in February 2019.     The coordinates delineating restricted areas and danger areas were taken from the Irish Aviation Authority Integrated Aeronautical Information Package (ENR 5.1 Restricted and Danger Areas) and digitised to create the polygons. Coastal elements were identified and extracted from the restricted areas and danger areas polygons.

Tags: environment
Organization: Irish Aviation Authority
Water Temperature Profiles Lough Bunaveela Co.Mayo Ireland 2009 - 2019

A permanently moored thermistor chain at the deepest point in Lough Bunaveela measured water temperature at 8 different depths (1m, 3m, 5m, 7m, 9m, 11m, 15m, 17m). This dataset comprises data collected between February 2009 and August 2019 which has gone through detailed QA/QC (averaged over 1-hour intervals and 1-hour missing gaps linearly interpolated). Temperature was recorded using StowAway TidbiT temperature data loggers from Onset (TBI32-05+37) (https://www.onsetcomp.com/products/data-loggers/tbi32-0537). More recent data can be requested or downloaded from the Marine Institute through www.marine.ie. More information can be obtained from burrishooleLTER@marine.ie   

Suggested Citation: Dillane, Mary; Kelly, Sean; de Eyto, Elvira; Cooney, Joseph; Hughes, Pat; Murphy, Michael; Nixon, Pat; Sweeney, David. (2021) Water Temperature Profiles Lough Bunaveela Co.Mayo Ireland 2009 - 2019. Marine Institute, Ireland. doi:10/fq63.

Tags: environment
Organization: Marine Institute
Census and fecundity data from the captive and wild-bred Atlantic salmon (Salmo salar L.) populations of the Burrishoole catchment, Co. Mayo Ireland 1970 - 2018

The Marine Institute (formerly the Salmon Research Agency of Ireland and the Salmon Research Trust) operate permanent complete fish traps in the Burrishoole catchment, Co. Mayo, Ireland, as part of a program of long term ecological research (LTER). Data has been collected since 1970. All migrating diadromous fish are enumerated between their marine and freshwater habitats. The data contains census data, fecundity data, and data on the proportion of potential wild and captive-bred (ranched) Atlantic salmon (Salmo salar L.) sampled in the Burrishoole fish traps. The text file contains R code used in the analyses of relative reproductive success between captive and wild-bred Atlantic salmon and can be used to repeat such analyses. The associated text file also contains code relevant to calculating population productivity and the unbiased estimators of relative reproductive success.    The Burrishoole fish traps have the following locations: Salmon leap: 53.920323, -9.584348 and Mill Race: 53.924081, -9.571727. As records do not specify which trap the specimens were sampled in, a midpoint of 53.922202 -9.578038 has been applied as the location data in the data distribution.   

Suggested Citation: O'Sullivan, Ronan James; Aykanat, Tutku; Johnston, Susan E.; Rogan, Ger; Poole, Russell; Prodöhl, Paulo A.; de Eyto, Elvira; Primmer, Craig R.; McGinnity, Philip; Reed, Thomas E.; Murphy, Michael; Nixon, Pat; Cooney, Joseph; Sweeney, David; Dillane, Mary; Drumm, Alan; Cotter, Deirdre. (2021) Census and fecundity data from the captive and wild-bred Atlantic salmon (Salmo salar L.) populations of the Burrishoole catchment, Co. Mayo Ireland 1970 - 2018. Marine Institute, Ireland. doi:10/ghkx.

Tags: environment
Organization: Marine Institute
Irish Marine Data Buoy Observation Network (IMDBON) Weather Buoy at M2 (Irish Sea) 2001- Present

The M2 Weather Buoy is part of the Irish Marine Data 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). M2 is deployed directly northeast of Dublin Bay in the Irish Sea.

Tags: environment
Organization: Marine Institute
Wave Buoy Bantry Bay, Co. Cork 2021- Present

Wave buoy in Bantry Bay, co Cork (Lat:51.647 Long:-9.681)  is part of the Irish Wave Buoy Network and provides real-time data on wave conditions. These wave buoys support the research and development of marine renewable energy off the Irish coast. Parameters collected include: Station (ID), significant wave height (M), Average period (s), Direction of waves (°), sea surface temp (°C), Wave height max (M), TMax (s), H 1/3 (M).

Tags: environment
Organization: Marine Institute
SmartBay Observatory pCO2 Data (Raw)

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. The data includes 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. Maintenance take place on the observatory every 18 to 24 months.    A CONTROS HydroC CO2 sensor was installed on the SmartBay cabled Observatory in Galway Bay Ireland in June 2020 (Latitude 53.22733,Longitude -9.26629). The sensor is connected to the fibre and power cable and is transmitting real time high frequency Partial pressure of carbon dioxide {CO2 CAS 124-38-9} {pCO2}  data in the water body at 25 m Depth on a continuous basis.  Local pCO2 sampling for lab analysis has been carried out at the observatory site  to help ground truth the measurements and this work is ongoing in 2021.

Tags: environment
Organization: Marine Institute
Wave Buoy Clew Bay, Co. Mayo 2021- Present

The Wave buoy in Clew Bay, Co. Mayo (Lat: 53.48 Long: 9.54) is part of the Irish Wave Buoy Network and provides real-time data on wave conditions. These wave buoys support the research and development of marine renewable energy off the Irish coast. Parameters collected include: Station (ID), significant wave height (M), Average period (s), Direction of waves (°), sea surface temp (°C), Wave height max (M), TMax (s), H 1/3 (M), H10 (M).

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

BH3 is currently limited to pressure caused by abrasion on the seafloor from mobile bottom contacting fishing gear (trawling). Pressure from other activities is in development. The scale of disturbance on the seafloor is a product of the habitats sensitivity and exposure to a defined pressure. These sources of information are combined to calculate the potential damage to a given seafloor habitat, and the trends across the six-year period to produce the impact matrix. The matrix is comprised of 10 categories characterising the physical disturbance and provides an estimate of the relative impact to the seafloor. The BH3 Assessment results in a spatial dataset displaying levels of disturbance as categories from 0-9 ( 0= no disturbance to 9 = high disturbance) on Ireland’s sea bed.

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

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

Suggested Citation: Yamanaka, Tsuyuko; Cusack, Caroline; Nolan, Glenn; Clarke, Dave. (2022) CoClime - Abundance of phytoplankton (Alexandrium species), Southwest Ireland - present time prediction (1997 - 2016). Marine Institute, Ireland. doi:10/hvs9.

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

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 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_probability/).   

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

Tags: environment
Organization: Marine Institute