AndreaBozzo/ceres-open-data-index huggingface dataset:
Ship-based continuous underway surface seawater dimethylsulfide concentration collected in the Southern Ocean, October-November 2019.

This dataset comprises a ship-based continuous underway surface seawater dimethylsulfide (DMS) concentration timeseries, with ancillary in-situ mesaurements. Measurements were collected in the southeast Atlantic sector of the Southern Ocean from October 18 to November 18, 2019. A mini Atmospheric Pressure Chemical Ionisation Mass Spectrometer (AP-CIMS) measurement system, coupled to a segmented flow coil equilibrator, were used to continuously measure nanomolar (nM) DMS in water collected from the ship's underway seawater supply at 5 metres depth. The aim was to understand and quantify the production of aerosols derived from marine biogenic trace gas emissions in the Southern Ocean during the springtime onset of sea ice melt. The sampling campaign was part of the wider South African-led SCALE (Southern oCean seAsonaL Experiment) project (http://scale.org.za/). In-situ sampling and data post-processing was conducted by the ship-based Team Leader, George Manville. Land-based supervision was provided by the Principal Investigator, Tom Bell. This work was funded by the NERC Grant NE/R007586/1.

Organization: Marine Environmental Data & Information Network
Processed multibeam bathymetry grids from the Whittard Canyon (JC035, 2009)

Multibeam swath bathymetry data were collected with a hull-mounted Kongsberg EM120 and EM710 echosounder during RRS James Cook cruise JC035 (Chief Scientist Veerle Huvenne) in June 2009. The cruise was conducted to map Whittard Canyon, a deep ocean canyon in the Bay of Biscay. The data were edited using Caris HIPS software by Catherine Wardell and gridded at 50 m spacing (EM120) and 10 m (EM710) in a WGS84 UTM Zone 29N projection. The vertical datum of the data is matched to mean sea level (MSL). They were exported as longitude-latitude-depth triples. Funding was provided by the UK's Natural Environment Research Council (NERC) to MAREMAP, Oceans2025, and HERMIONE project (Grant no 226354).

Organization: Marine Environmental Data & Information Network
Greater Haig Fras autonomous underwater vehicle seafloor survey - mosaicked image tiles used to assess benthic assemblages and seabed types (2012)

Seafloor visual images were acquired during a survey within the Greater Haig Fras Marine Conservation Zone (MCZ), central Celtic Sea, in 2012. This was the first in a series of similar surveys to be conducted in this location. A camera system mounted on the autonomous underwater vehicle (AUV) Autosub6000 was deployed during RRS Discovery cruise 377/8 (D377/8), and images were collected from four 4.7 km transect lines. Images were mosaicked in "tiles" consisting of five consecutive images (each tile representing approximately 7.3 m2 of seabed). Images were orthorectified and scaled to a common altitude per tile. The mosaicked tiles are provided in this collection. The aim of the survey was to undertake high-resolution acoustic seabed mapping and visual imagery in a Marine Protected Area, in order to highlight the capability of AUV technology for offshore seabed mapping and benthic assemblage assessment. The work was initially undertaken as part of a Defra-funded project "Investigating the feasibility of utilizing AUV and Glider technology for mapping and monitoring of the UK MPA network (MB0118)", Case study 2: Shallow-water AUV mapping off SW UK (https://nora.nerc.ac.uk/id/eprint/500733/), and the Natural Environment Research Council (NERC) funded Autonomous Ecological Surveying of the Abyss project (NE/H021787/1), involving scientists from the National Oceanography Centre (NOC), UK.

Organization: Marine Environmental Data & Information Network
Modelled storm surge and total water level return periods along the coastline of China, Vietnam, Cambodia and Thailand (1980-2050).

This dataset provides modelled storm surge and total water levels along the South China Sea region (coastline of China, Vietnam, Cambodia and Thailand) for the period 1980-2050. Three return period scenarios are considered: 10% AEP (Annual Exceedance Probability) = 1:10 year return period; 1% AEP = 1:100 year return period; 0.1% AEP = 1:1000 year return period. Projections utilise Representative Concentration Pathway (RCP) 8.5 – the greenhouse gas concentration trajectory adopted by the Intergovernmental Panel on Climate Change (IPCC). The dataset was produced by forcing a hydrodynamic model underpinned by a new synthetic database representing 10,000 years of past, present and future tropical cyclone activity. The aim of this exercise being to estimate the risks posed by extreme sea levels, especially in tropical regions where cyclones can generate large storm surges and observations are too limited in time and space to deliver reliable analyses. The dataset was produced by Principal Investigators Dr Ivan D Haigh and Dr Melissa Wood (School of Ocean and Earth Science, University of Southampton, UK) in collaboration with partners from the School of Geography and Environmental Science (University of Southampton, UK), Tyndall Centre for Climate Change Research (University of East Anglia, UK), Southern Institute of Water Resource Research (Vietnam) and the Institute for Environmental Studies (Netherlands). Funding was secured through the UK’s Natural Environment Research Council (NERC) Grant ‘CompFlood’ (grant number NE/S003150/1).

Organization: Marine Environmental Data & Information Network
Temperature data from a public dive log application, acquired from recreational divers’ dive computers in the northern Red Sea (2000-2017)

A collection of raw dive computer data (latitude, longitude, date, time, minimum temperature, surface temperature and maximum depth) logged by unknown recreational divers and uploaded to a publicly available online dive logging application (divelogs.de) was exported and filtered for further analysis. The data were spatially restricted to the northern Red Sea: 23-30° N, 32-39.4° E. Only dives within standard recreational depths (maximum dive depth ≤ 40 m), years with more than 75 dives per year and with a spread of dives across most months were retained (2000 to 2017). The data were processed in R version 4.2, using the tidyverse suite of packages. A 15 arc-second (approximately 0.5 km) resolution bathymetric grid of the area was downloaded from GEBCO, allowing bathymetric depths associated with each dive location to be found using the marmap get.depth function in R. Data were collected as part of Celia Marlowe’s PhD project at the University of East Anglia, which aimed to assess the precision and accuracy of water temperature profiles collected from devices commonly carried by Scuba divers. The PhD project was part of the Next Generation Unmanned Systems Science (NEXUSS) Centre for Doctoral Training, funded by the Natural Environment Research Council (NERC) and the Engineering and Physical Science Research Council (EPSRC) (NE/N012070/1), and was additionally supported by Cefas Seedcorn (DP901D).

Organization: Marine Environmental Data & Information Network
Processed multibeam bathymetry grids from the Whittard Canyon (JC125, 2015).

Multibeam swath bathymetry data were collected with a hull-mounted Kongsberg EM120 and EM710 echosounder during RRS James Cook cruise JC125 (Chief Scientist Veerle Huvenne) from August-September 2015. The cruise was conducted to map Whittard Canyon, a deep ocean canyon in the Bay of Biscay, in order to obtain a better insight in the biodiversity patterns, benthic habitat distributions and sediment transport processes of submarine canyons. The data were edited using Caris HIPS software by Catherine Wardell and gridded at 50 m spacing (EM120) and 10 m (EM710) in a WGS84 UTM Zone 29N projection. The vertical datum of the data is matched to mean sea level (MSL). They were exported as longitude-latitude-depth triples. Funding was provided by the European Research Council to CodeMap (Grant No 258482) and the UK's Natural Environment Research Council (NERC) to MAREMAP.

Organization: Marine Environmental Data & Information Network
Biological/ecological laboratory experiments on macrofauna samples collected by research vessel and intertidally from waters around the UK.

Two laboratory experiments were conducted at the National Oceanography Centre in Southampton from June 2021 - April 2022 to investigate intraspecific variability in functional trait expression in marine bioturbating benthic invertebrate fauna. The macroinvertebrate species Amphiura filiformis, Amphiura chiajei, Turritellinella tricarinata, Edwardsia claparedii, Sternapsis scutata, Paraleptopentacta elongata, Hediste diversicolor and Nephtys hombergii were collected from different locations around the UK (Plymouth, Oban and Newcastle) and in two different seasons. In laboratory experiments ranging in duration from 2 - 3 months we investigated how individual densities, season and future vs ambient climate treatments impacted functional bioturbation behaviour and ecosystem functioning (nutrients release and community respiration).

Organization: Marine Environmental Data & Information Network
Bridging International Activity and Related Research Into the Twilight Zone (BIARRITZ) Dataset

Thorium isotope 234 particulate data collected from cruise DY111 in the South Pacific using a stand-alone pump suspended on a wire at set depths along the wire ranging down to 400 metres depths, the stand-alone pumps were fitted with a 53 micrometer mesh to collect particles which are then counted later in disintegrations per minute per litre using a beta counter. The sampling on the DY111 cruise occurred, in the South Pacific, during December 2019 and January 2020. The data have been quality controlled by the originator with data quality flags applied.

Organization: Marine Environmental Data & Information Network
Seaglider data from the Western Ross Sea, Antarctica, November 2022-January 2023

This dataset includes measurements made by pressure, temperature, conductivity, backscatter, oxygen, photosynthetically available radiation (PAR) and chlorophyll fluorescence sensors attached to two Seagliders deployed in the Western Ross Sea, Antarctica (-77.420 degrees S and 176.139 degrees E). The gliders produced profiles roughly every 2 hours from the sea surface to the seabed (about 800 m depth) and all observations are un-gridded timeseries. Seaglider 676 (sg676) was deployed on 28 November 2022 and Seaglider 613 (sg613) was deployed on 04 December 2022, both from the fast ice. Both Seagliders were recovered on 18 January 2023 by the R/V Nathaniel B. Palmer (Cruise number NBP23-02). Each glider dataset was processed using the UEA Seaglider toolbox (available at: http://bitbucket.org/bastienqueste/uea-seaglider-toolbox). The campaign was designed to provide the biophysical conditions to link with the Adelie penguin preyscape. The campaign also sampled the extensive eddy field in the region, and obtained observational data in a key region of very high biological productivity  (i.e. the Ross Sea polynya). The Discovery Science project is funded by the Natural Environmental Research Council, UK (NERC) and the National Science Foundation, USA (NSF) (grant reference NE/W00755X/1).

Organization: Marine Environmental Data & Information Network
Data from the Surface Water Ocean Topography (SWOT-UK) project.

Satellite-derived data and data used for satellite data validation from the SWOT-UK project. Validation sea level elevation data are from tide gauges re-referenced to ETRS89 (WGS84) This data covers the Bristol Channel, Severn estuary and river Severn. The bulk of the data spans the period from the beginning of 2022 to the end of July 2023, but the data used for the validation of the Cryosat2 satellite goes back to 2012.  These data came from the Environment Agency and National Network of Regional Coastal Monitoring Programmes (Channel Coastal Observatory) APIs, with three addition Global Navigation Satellite Systems Interferometric Reflectometry (GNSS-IR) systems installed by the project team. The data were transformed to ETRS89 (WGS84) Ellipsoid using a software utility provided by the Ordnance Survey, for comparison to satellite altimetry data. Stations measuring relative to chart or stage datum were corrected to ordnance datum before transformation to ETRS89 (WGS84). The data are supplied as water surface elevation (altitude) in metres, relative to ETRS89 (WGS84) Ellipsoid. These real-time in situ data have not been corrected for atmospheric pressure, to match the total water level measurements of the satellite.

Organization: Marine Environmental Data & Information Network
Benthic carbon fixation and cycling in diffuse hydrothermal and background sediments in the Bransfield Strait, Antarctica in 2011

This dataset is comprised of carbon isotopic composition and concentration of samples from stable isotope pulse chase tracer experiments. Data are available for sediment macrofauna, dissolved inorganic carbon in overlying water, and phospholipid fatty acids (PLFAs) in the sediment.  Experiments were conducted onboard RRS James Cook (JC055) from 13/01/2011 to 22/02/2011 at three sites in the Bransfield Strait, Antarctica. Two of the sites lay on raised edifices, known as Hook Ridge and Middle Sister along the axis of the basin and included a diffuse hydrothermal site. A third site labelled as 'Off-Vent' others without hydrothermal vents was located along the north side of the basin, and was sampled as a control site. Sediment cores were recovered using a multiple corer for isotope tracing experiments. Duplicate cores were subject to two treatments; the 'algae' treatment with added algal detritus (simulating photosynthetic carbon) and the 'bicarbonate' treatment to simulate a substrate for benthic carbon fixation. Overlying water samples were analysed for concentration and isotopic composition of dissolved inorganic carbon. Frozen sediment samples were freeze dried and analysed for phospholipid fatty acids (PLFAs). Sediment horizons between 0 and 10cm preserved in formalin were sieved and macrofauna were extracted. This work was carried out by Clare Woulds, James Bell, and Louise Brown at the University of Leeds, Adrian Glover at the Natural History Museum, and Steven Bouillon at KU Leuven. It was funded by the NERC Discovery Science project Tracer Studies of Biological Carbon Cycling in Chemosynthetic Communities of the Southern Ocean (grant reference NE/J013307/1) active from March 1, 2012 to February 28, 2015.

Organization: Marine Environmental Data & Information Network
Westminster Parliamentary Constituencies (July 2024) Names and Codes in the UK (V2)

<span style='font-family:Verdana, Arial, Helvetica, sans-serif; color:rgb(0, 0, 0); font-size:14.4px;'>This file contains the names and codes for Future Westminster Parliamentary Constituencies, operative 4th July 2024, in the United Kingdom. </span><div style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><span style='font-family:Verdana, Arial, Helvetica, sans-serif; color:rgb(0, 0, 0); font-size:14.4px;'><br /></span></div><div><span style='font-family:Lato, &quot;Avenir Next&quot;; font-size:16px; color:rgb(0, 0, 0);'>Field Names - PCON24CD, PCON24NM, PCON24NMW</span><div style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><span style='font-family:Lato, &quot;Avenir Next&quot;; color:rgb(0, 0, 0);'>Field Types - Text, Text, Text</span></div><div style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><span style='font-family:Lato, &quot;Avenir Next&quot;; color:rgb(0, 0, 0);'>Field Lengths - 9, 40, 32</span></div><div style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><span style='font-family:Lato, &quot;Avenir Next&quot;; color:rgb(0, 0, 0);'><br /></span></div><div><font color='#000000' face='Lato, Avenir Next'><span style='font-size:16px;'><b>File created to amend constituency codes in Scotland for the following 5 constituencies:   Ayr, Carrick and Cumnock, Berwickshire, Roxburgh and Selkirk, Central Ayrshire, Kilmarnock and Loudoun, and West Aberdeenshire and Kincardine</b></span></font><br /></div><div style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><span style='font-family:Lato, &quot;Avenir Next&quot;; color:rgb(0, 0, 0);'><br /></span></div></div>

Tags: 2024, NAC_ELE, NAC_PCON, NAC_WPC, PCON, UK, United Kingdom, Westminster Parliamentary Constituencies, Westminster Parliamentary Constituency
Organization: Office for National Statistics
Counties (December 2024) Boundaries EN BFC

<p><span style='color:rgb(0,0,0); font-family:Verdana, Arial, Helvetica, sans-serif; font-size:14.4px;'><span style='box-sizing:border-box; max-width:100%;'>This file contains the digital vector boundaries for Counties, in England, as at December 2024.</span></span></p><div style='box-sizing:border-box; color:rgb(0, 0, 0); font-family:Lato, &quot;Avenir Next&quot;; font-size:16px; max-width:100%;'><br /></div><div style='box-sizing:border-box; color:rgb(0, 0, 0); font-family:Lato, &quot;Avenir Next&quot;; font-size:16px; max-width:100%;'><span style='font-family:Verdana, Arial, Helvetica, sans-serif; font-size:14.4px;'><span style='box-sizing:border-box; max-width:100%;'>The boundaries available are: (BFC) Full resolution - clipped to the coastline (Mean High Water mark).</span></span></div><div style='box-sizing:border-box; color:rgb(0, 0, 0); font-family:Lato, &quot;Avenir Next&quot;; font-size:16px; max-width:100%;'><br /></div><div style='box-sizing:border-box; color:rgb(0, 0, 0); font-family:Lato, &quot;Avenir Next&quot;; font-size:16px; max-width:100%;'><span style='font-family:Verdana, Arial, Helvetica, sans-serif; font-size:14.4px;'><span style='box-sizing:border-box; max-width:100%;'>Contains both Ordnance Survey and ONS Intellectual Property Rights.</span></span></div>

<br /><div><div>REST URL of Feature Access Service – <a href='https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Counties_December_2024_Boundaries_EN_BFC/FeatureServer' target='_blank' rel='nofollow ugc noopener noreferrer'>https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Counties_December_2024_Boundaries_EN_BFC/FeatureServer</a></div></div><div><br /></div><div>REST URL of WFS Server –<a href='https://dservices1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/services/Counties_December_2024_Boundaries_EN_BFC/WFSServer?service=wfs&amp;request=getcapabilities' target='_blank' rel='nofollow ugc noopener noreferrer'>https://dservices1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/services/Counties_December_2024_Boundaries_EN_BFC/WFSServer?service=wfs&amp;request=getcapabilities</a></div><div><br /></div><div>REST URL of Map Server –<a href='https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Counties_December_2024_Boundaries_EN_BFC/MapServer' target='_blank' rel='nofollow ugc noopener noreferrer'>https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Counties_December_2024_Boundaries_EN_BFC/MapServer</a></div>

Tags: 2024, Administrative Boundaries, BDY_ADM, BDY_CTY, Boundaries, Counties, DEC_2024, EN, England
Organization: Office for National Statistics
Counties (December 2024) Boundaries EN BSC

<p><span style='color:rgb(0,0,0); font-family:Verdana, Arial, Helvetica, sans-serif; font-size:14.4px;'>This file contains the digital vector boundaries for Counties, in England, as at December 2024.</span></p><div style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><br /></div><div style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><div style='box-sizing:border-box; color:rgb(0, 0, 0); font-family:Lato, &quot;Avenir Next&quot;; max-width:100%;'><span style='font-family:Verdana, Arial, Helvetica, sans-serif; font-size:14.4px;'><span style='box-sizing:border-box; max-width:100%;'>The boundaries available are: (BSC) Super Generalised (200m) - clipped to the coastline (Mean High Water mark).</span></span></div><div style='box-sizing:border-box; color:rgb(0, 0, 0); font-family:Lato, &quot;Avenir Next&quot;; max-width:100%;'><br /></div><div style='box-sizing:border-box; color:rgb(0, 0, 0); font-family:Lato, &quot;Avenir Next&quot;; max-width:100%;'><span style='font-family:Verdana, Arial, Helvetica, sans-serif; font-size:14.4px;'><span style='box-sizing:border-box; max-width:100%;'>Contains both Ordnance Survey and ONS Intellectual Property Rights.</span></span></div></div>

<br /><div><div>REST URL of Feature Access Service – <a href='https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Counties_December_2024_Boundaries_EN_BSC/FeatureServer' target='_blank' rel='nofollow ugc noopener noreferrer'>https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Counties_December_2024_Boundaries_EN_BSC/FeatureServer</a></div></div><div><br /></div><div>REST URL of WFS Server –<a href='https://dservices1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/services/Counties_December_2024_Boundaries_EN_BSC/WFSServer?service=wfs&amp;request=getcapabilities' target='_blank' rel='nofollow ugc noopener noreferrer'>https://dservices1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/services/Counties_December_2024_Boundaries_EN_BSC/WFSServer?service=wfs&amp;request=getcapabilities</a></div><div><br /></div><div>REST URL of Map Server –<a href='https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Counties_December_2024_Boundaries_EN_BSC/MapServer' target='_blank' rel='nofollow ugc noopener noreferrer'>https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Counties_December_2024_Boundaries_EN_BSC/MapServer</a></div>

Tags: 2024, Administrative Boundaries, BDY_ADM, BDY_CTY, Boundaries, Counties, DEC_2024, EN, England
Organization: Office for National Statistics