cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17882/74862
title: Error variance-covariance, trends, accelerations and uncertainties of regional mean sea level estimated from satellite altimetry

description: Satellite altimetry missions provide a quasi-global synoptic view of sea level over more than 25 years. The satellite altimetry constellation is used to build sea level maps and regional sea level indicators such as trends and accelerations. Estimating realistic uncertainties on these quantities is crucial to address some current climate science questions such as climate change detection and attribution or regional sea level budget closure for example. Previous studies have estimated the uncertainty for the global mean sea level (GMSL), but no uncertainty information is available at regional scales. In this study we estimate a regional satellite altimetry error budget and use it to derive maps of confidence intervals for local sea rise rates and accelerations. We analyze 27 years of satellite altimetry maps and derive the satellite altimetry error variance-covariance matrix at each grid point, prior to the estimation of confidence intervals on local trends and accelerations at the 90% confidence level using extended least squares estimators. Over 1993–2019, we find that the average local sea level trend uncertainty is 0.83 mm.yr-1 with local values ranging from 0.78 to 1.22 mm.yr-1. For accelerations, uncertainties range from 0.057 to 0.12 mm.yr-2, with a mean value of 0.063 mm.yr-2.
 
Change history:
 - 2020/07/08: initial dataset submission over 1993-2018
 - 2020/10/21: 1993-2019 update and addition of error levels
DOI: 10.17882/91173
title: SOMLIT-Portzic time series (French Research Infrastructure ILICO): long-term core parameter monitoring in the Bay of Brest and Iroise Sea

description: The SOMLIT-Portzic time-series data characterize the hydrology of the Bay of Brest – Mer d’Iroise ecosystem, located at 48°N (western Brittany). Weekly measurements have been undertaken since 1998 by the IUEM/UBO/CNRS. The SOMLIT-Portzic observation station is a part of the French monitoring network SOMLIT (https://www.somlit.fr/), accredited by the CNRS as a national Earth Science Observatory (Service National d’Observation : SNO). It aims to detect the long-term evolution of these ecosystems including both natural and anthropogenic forcings.
Implemented on the Ste-Anne-du-Portzic location (48°21'32.17'' N, 4°33'07.21'' W), the SOMLIT-Portzic observation station is among the oldest long-term coastal observation stations of the French Research Infrastructure dedicated to coastal ocean observations (known as ILICO, https://www.ir-ilico.fr).
The high-frequency hydrological COAST-HF-Iroise time-series and the microphytoplankton PHYTOBS-Portzic time-series are also monitored at this location.
SOMLIT-Portzic samples are collected at 2m-depth of a 9m water column, at high tide, during slack water, with an average coefficient of 70 ± 10. Samples collected are analysed for more than 20 core parameters: SST, SSS, dissolved oxygen, pH, ammonia, nitrates, nitrites, phosphates, silicates, suspended matter, particulate organic carbone, particulate organic nitrogen, chlorophyll, delta15N, delta13C; pico- and nano- plankton; CTD-PAR-profile.
The SOMLIT network quality management system is in line with the ISO/IEC 17025:2017 standard: “General requirements for the competence of testing and calibration laboratories”. Further information on standard operating procedures for sample collection and data acquisition are available at: https://www.somlit.fr/parametres-et-protocoles. For more information on the quality flagging scheme: https://www.somlit.fr/codes-qualite/.
DOI: 10.17882/93947
title: A multi-tagged Sentinel-1 wave mode SAR image dataset near Barbados (MulTags-SARwv)

description: MulTags-SARwv is a meticulously curated dataset comprising 2100 synthetic aperture radar (SAR) images acquired by the Sentinel-1 (S-1) satellite s wave mode (WV) at a 36° incidence angle. These images were randomly selected between January and June from 2016-2019 and span an 8° by 8° box centered on the Northwest Tropical Atlantic Station (NTAS) buoy (51°W, 15°N). Each image covers a 20 km by 20 km area with a 5 m pixel resolution. The dataset is the result of visual interpretation and tagging by five experts using 12 defined tags. These tags describe various marine atmospheric boundary layer (MABL) processes near Barbados, including the transition between roll vortices and convective cells, as well as localized phenomena such as fronts, rain events, cold pools, and low winds. Unlike the previous TenGeoP-SARwv dataset, MulTags-SARwv utilizes a multiple tagging strategy to provide a comprehensive description of the MABL processes visible on these WV SAR images. The dataset is organized into a folder (pngs) that includes all 2100 SAR images in PNG format, a text file (tagsInfo.txt) documenting all the assigned tags for each image by the five experts, and a readme.txt file that provides an overall description of the dataset. MulTags-SARwv has significant potential for investigating MABL processes and complements SAR classification materials for the development of machine learning methods.
DOI: 10.17882/56796
title: Labeled SAR imagery dataset of ten geophysical phenomena from Sentinel-1 wave mode (TenGeoP-SARwv)

description: The TenGeoP-SARwv dataset is established based on the acquisitions of Sentinel-1A wave mode (WV) in VV polarization. This dataset consists of more than 37,000 SAR vignettes divided into ten defined geophysical categories, including both oceanic and meteorologic features. These images cover the entire open ocean and are manually selected from Sentinel-1A WV acquisitions in 2016. For each image, only one prevalent geophysical phenomena with its prescribed signature and texture is selected for labeling. The SAR images are processed into a quick-look image provided in the formats of PNG and GeoTIFF as well as the associated labels. They are convenient for both visual inspection and machine-learning-based methods exploitation. The proposed dataset is the first one involving different oceanic or atmospheric phenomena over the open ocean. It seeks to foster the development of strategies or approaches for massive ocean SAR image analysis. A key objective is to allow exploiting the full potential of Sentinel-1 WV SAR acquisitions, which are about 60,000 images per satellite per month and freely available. Such a dataset may be of value to a wide range of users and communities in deep learning, remote sensing, oceanography, and meteorology
DOI: 10.17882/74004
title: COAST-HF-Marel-Iroise buoy’s time series (French Research Infrastructure ILICO) : long-term high-frequency monitoring of the Bay of Brest and Iroise sea hydrology

description: The COAST-HF-MAREL-Iroise buoy is a scientific plateform to monitor at high frequency (subhourly) and for long term (since 2000) the coastal ecosystem of the Bay of Brest, which is impacted by both continental and Iroise Sea inputs.This buoy is a part of the national observation network COAST-HF - COAstal ocean observing system-HighFrequency (http://www.coast-hf.fr) from the ILICO research infrastructure (https://www.ir-ilico.fr) and is property of IUEM (Institut Universitaire Européen de la Mer) and Ifremer. The buoy is moored at 200 m of the coast at the outlet of the Bay of Brest where manual sampling is also performed for the weekly observation network SOMLIT-Portzic (https://www.somlit.fr/). Both data base are complementary so that manual data are used to qualify and/or correct buoy’s data (e. g. for temperature, salinity and dissolved oxyge). Corrected data are subsequently called « adjusted-parameter » in the Iroise data base. Manual SOMLIT-Portzic data are also systematically used to convert fluorescence sensor data collected in raw fluorescence unit(FFU) into « eq-µg/L of  chlorophyll » : all fluorescence data are then available as « adjusted-fluorecence » in the data base.
Precision estimated of the complete data collection process is : temperature (±0.1°C), conductivity (±0.3mS/cm), dissolved oxygen (±10%), in vivo fluorescence (±10%), and turbidity (±10%). By the mean of two additional sensors, these core parameters are completed by aerial Photosynthetic Activated Radiation (PAR) and FugacityCO2 (±3µatm). The data can be viewed on the website: https://data.coriolis-cotier.org/platform/6200450.
DOI: 10.17882/81671
title: Seismic reflection profiles in the Windward Passage between Cuba and Haiti from Haiti-sis 1&2 experiments

description: 2D seismic lines from Haiti-sis 1&2 cruises. Processed and interpreted lines.
DOI: 10.17882/86020
title: SMART Daoulas data from coriolis Data Centre in the Bay of Brest

description: One of the most productive area within the Bay of Brest (located in Northwestern France) is the Daoulas bay - a very shallow embayment (max depth 8 m) - that receives the freshwater inputs of « The mignonne » river. This small bay harbours various aquaculture and fishing activities and also a protected marine area managed by Natura 2000. To better understand physical and biological processes within this bay and their evolution under the context of global change, an observation station has been set up since 2006 on the foreshore in the intertidal zone (https://doi.org/10.17882/42493).
In 2016, the SMART Daoulas buoy was deployed nearby to complete the monitoring system. It is a moored buoy located over a flat oyster bed influenced both by marine coastal and fresh waters. On the seabed, various physico-chemical and biological measuring devices are working in continuous and autonomous conditions.
The SMART Daoulas station is a component of the national high frequency observing network COAST-HF (http://www.coast-hf.fr) from the ILICO research infrastructure (https://www.ir-ilico.fr)
Data are acquired with automatic probes fixed on metallic structure at 50 cm over the sediment bottom. Since 2016, several type of probes were used: DS5 Hydrolab from OTT (http://www.ott.com) ; STPS or SMATCH from NKE (http://www.nke-instrumentation.fr) ; ECO FLNTU, SeaFET V2 and SBE37-SMP-ODO (http://www.seabird.com). The following measured parameters are recorded at 15-mins frequency : sea temperature, practical salinity, total pH, fluorescence and turbidity. Precision estimated of the complete data collection process is : temperature (±0.1°C), conductivity (±0.3mS/cm), in vivo fluorescence (±10%), turbidity (±10%), total pH (± 0.02 pH). The data are qualified into several levels : 0-No Quality Check performed, 1-Good data, 2-Probably good data, 3-Probably bad data, 4-Bad data, 5-Value changed, 7-Nominal value, 8-Interpolated value, 9-Missing value.
DOI: 10.17882/89462
title: High-resolution bathymetry map (15-m grid) of a segment of the SWIR provided by MBES data acquired during the 2021 SWINGS marine expedition on the Marion Dufresne vessel

description: A MBES acoustic coverage of the PE-1 segment of the SWIR (South West Indian Ridge), more specifically in the vicinity of the dredge 5 location of the SWIFT cruise (2001), was carried out during the SWINGS cruise (https://doi.org/10.17600/18001925) with the French research vessel Marion Dufresne in 2021. SWINGS data were acquired with the hull-mounted multibeam echosounder Kongsberg EM122 12 kHz using an optimised configuration for bathymetry data collection: vessel speed of 5 knots, dual swath, CW signal and an angular opening of 120°. Acoustic data were processed with GLOBE software (https://doi.org/10.17882/70460) to provide a high-resolution bathymetry map (grid resolution of 15 m).
DOI: 10.15468/dl.zfspwz
title: Occurrence Download

description: A dataset containing 524 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Continent is South America",
 "Country is one of (Brazil, Bolivia (Plurinational State of))",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera onca (Linnaeus, 1758)",
 "Year 2020-2025"
 ]
}

 The dataset includes 524 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025215-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17882/80128
title: A comprehensive and updated compilation of the seismic stratigraphy markers in the Western Mediterranean Sea

description: The Western Mediterranean Sea is a natural laboratory to address questions about the formation and evolution of continental margins and the relationship between surface and deep processes. The evaporites deposited during the late Miocene’s Messinian Salinity Crisis (MSC) strongly impact its sedimentological and geomorphological evolution. Hereafter, we present a compilation of some of the main regional seismic stratigraphic markers throughout the Western Mediterranean Sea. We provide in xyz format (z in second twt) the original, not interpolated, points interpretation of the following horizons: i) Acoustic basement, ii) Base and Top of the MSC salt, also known as Mobile Unit (MU), iii) base Pliocene and iv) Seafloor. The available reflection seismic dataset, coming from a collaboration between French, Spanish, Algerian and Italian research institutes, covers most of the Western Mediterranean sub-basins with the exception of the Ligurian Basin. This compilation is currently the most comprehensive and updated available in literature and provides a useful contribution to the scientific community working in sedimentary, tectonics and geodynamics studies in the Western Mediterranean Sea.
DOI: 10.17882/100119
title: COAST-HF/Arcachon-Ferret time series (French Research Infrastructure ILICO) : long-term high-frequency monitoring of the Arcachon Lagoon hydrology

description: The COAST-HF/Arcachon-Ferret time series characterizes the hydrology of the interface between the Arcachon lagoon, located in the South-Western France, and the Atlantic Ocean. A buoy belonging to Phares et Balises is instrumented with a multi-parametric probe that records sub-surface temperature, conductivity, depth, turbidity and fluorescence every 10 minutes since February 2018. It is opérated by the OASU and EPOC teams (Univ. Bordeaux/CNRS).
COAST-HF (Coastal OceAn observing SysTem - High Frequency; www.coast-hf.fr) is a national observation network accredited by the CNRS as a national Earth Science Observatory (Service National d’Observation: SNO). It aims to federate and coordinate a set of 14 fixed platforms instrumented with high-frequency in situ measurements for key parameters of coastal waters. The COAST-HF/Arcachon-Ferret buoy is one of them. COAST-HF is part of the French Research Infrastructure dedicated to coastal ocean observations (RI ILICO, https://www.ir-ilico.fr).
Data are transmitted to the Coriolis Côtier database (https://data.coriolis-cotier.org/). Data are raw data.
DOI: 10.17882/99871
title: COAST-HF / SOLA time series (French Research Infrastructure ILICO): long-term High frequency measurements in the Bay of Banyuls-sur-Mer

description: COAST-HF (Coastal OceAn observing SysTem - High Frequency) is a national observation service belonging to the ILICO Research Infrastructure. This network, accredited by the CNRS, aims to federate and coordinate a set of fixed instrumented platforms for high-frequency in situ measurements of key coastal water parameters throughout the French coastline. The aim is to analyze and understand currents, hydrological structure, exchanges and the evolution of the trophic chain in the coastal environment. This network works closely with the SOMLIT network, which provides low-frequency sampling and calibration of sensor measurements.
 The SOLA station (buoy) is one of the pioneers of this network. It constitutes the historic observation station of the Banyuls sur Mer Observatory and is managed today by the BOSS (Banyuls Observation Sea Service). The buoy is located in Banyuls Bay at a distance of 0.5 nautical miles offshore from the marine station. It serves as a sampling site for low-frequency monitoring of SOMLIT and PHYTOBS networks and is equipped with an AIRMAR 200WX meteorological station and a YSI EXO3 multiparameter CTD probe placed 1.5m below the surface. The data averaged over 1 min (SR=1s) are sent to a server on land and integrated into a local database, allowing it to be distributed to national and international databases. The data can be viewed on the website: https://data.coriolis-cotier.org/ (platform/6100188).
DOI: 10.25716/gude.0764-e705
title: TEI/XML encoded transcription Na_50-379 from the Arthur Schopenhauer Legacy

description: This document is a TEI/XML encoded transcription of the document Na_50-379 from the Arthur Schopenhauer Legacy - 'Schopenhauer-Archive': "Autograph für das Deutsche Stammbuch" from Arthur Schopenhauer. Transcribed by Daniel Fejzo, TEI encoded by Eva Lorenz (https://sammlungen.ub.uni-frankfurt.de/schopenhauer/content/titleinfo/4235253)
description: TEI/XML-document
DOI: 10.25716/gude.0jm2-7as*
title: TEI/XML encoded transcription Na_50-214 from the Arthur Schopenhauer Legacy

description: This document is a TEI/XML encoded transcription of the document Na_50-214 from the Arthur Schopenhauer Legacy - 'Schopenhauer-Archive': "Anfrage von Benedicta Schütz nach Zusendung eines Bildes anlässlich des Geburtstages des Vaters Carl Schütz" from Benedicta Schütz to Arthur Schopenhauer. Transcribed by Anika Osterodt, TEI encoded by Eva Lorenz (https://sammlungen.ub.uni-frankfurt.de/schopenhauer/content/titleinfo/4235573)
description: TEI/XML-document
DOI: 10.17882/42493
title: Marine environmental station database of Daoulas bay

description: Located in Northwestern France, the Bay of Brest constitutes a coastal macrotidal and semi-enclosed ecosystem (total area of 180 km2, maximum tidal amplitude of 8 m, average depth of 8 m) influenced by both freshwater inputs from rivers (to its east-side) and fast mixing exchanges with the Atlantic Ocean through a narrow (1.8 km of wide) and deep (40 m) channel (to its west-side). The average flushing time of the system is around 25 days. The shallowness of the bay and the water mixing induced by tidal currents prevent the ecosystem from vertical stratification and nutrient accumulation and therefore limit eutrophication. This environment is still very rich and shelters numerous species, macrobenthic communities and remarkable habitats (for instance: maerl beds, scallops and brittlestars sandy-shelly muds, flat oysters beds associated with black scallops, slipper limpet mixed sediments, zostera beds, intertidal pacific oyster population...). Nevertheless, this ecosystem is also under the pressure of human activities: the north of the system shelters a population of 400 000 inhabitants whereas the south is more influenced by intensive agricultural activities. Marine resources are also intensively exploited by professional fishing, shellfish aquaculture and recreational activities (diving, fishing and picking). One of the most productive area within the bay of Brest is the Daoulas bay – a very shallow embayment (max depth 8 m) - that receives the freshwater inputs of « The mignonne » river. This small bay harbours various aquaculture and fishing activities and also a protected marine area managed by Natura 2000. To better understand physical and biological processes within this bay and their evolution under the context of global change, an observation station has been set up since 2006. At the beginning, only water temperature was measured with the help of automatic probes. Nowadays, this observatory system includes a real time monitoring of the following environmental parameters: temperature, salinity, in vivo fluorescence (chlorophyll a), oxygen concentration, pH and turbidity. Data are acquired with probes fixed on metallic structure at 50 cm over the sediment bottom on the foreshore in the intertidal zone. Since 2006, several type of probes were used and are listed in the data: EBI 85 from Global Water (http://www.globalw.com) ; DS5 Hydrolab from OTT (http://www.ott.com) ; SP2T, STPS or SMATCH from NKE (http://www.nke-instrumentation.fr). For each of them, temperature and salinity accuracies are also available. Time frequency of recording can differ from one probe to another but tends to be 15 minutes.
DOI: 10.17882/52404
title: Marine environmental station database of Thau lagoon

description: On oyster table in the Thau lagoon (WGS84 Lat. 43.379°N Long. 3.5715°E), Ifremer measures hydrological parameters (temperature, salinity) at high-frequency (depth 1 to 2m). Data loggers (NKE: SMATCH and STPS) measure every 15 minutes. To limit biofouling, there is a localized chlorination at the sensor (SMATCH) and a regular rotation of data loggers (STPS). The brand of sensors is WTW. These devices are calibrated regularly with a connection to ITS90 for temperature and IAPSO standards for salinity. The data are qualified by calibrations in the laboratory. For salinity: calibrations in-situ (since 2015), comparisons between sensors and post treatment correction (since 2019) are also conducted. A maximum permissible error (MPE) is calculated with the data, taking into account the measurement bias and the measurement uncertainty (k=2).
DOI: 10.17882/100905
title: TSG observations - SO-CHIC Cruise 2022

description: This dataset contains the S.A Agulhas II thermosalinograph (TSG) measurements acquired during the SO-CHIC (Southern Ocean Carbon and Heat Impact on Climate) cruise (December 2021/January 2022), from Cape Town to Antarctica and back again. The dataset is from the 3rd of December 2021 to the 28th of January 2022 and contains the TSG temperature and salinity.
DOI: 10.17882/95314
title: CTD observation - SO-CHIC Cruise 2022

description: This dataset contains the CTD casts conducted during the SO-CHIC (Southern Ocean Carbon and Heat Impact on Climate) cruise (December 2021/January 2022, S.A. AgulhasII). The cruise report is available at https://zenodo.org/record/6948850 for details.
To contribute to reducing uncertainties in climate change predictions, the overall objective of the SO-CHIC project is to understand and quantify variability of heat and carbon budgets in the Southern Ocean through an investigation of the key processes controlling exchanges between the atmosphere, ocean and sea ice using a combination of observational and modelling approaches.
The Southern Ocean regulates the global climate by controlling heat and carbon exchanges between the atmosphere and the ocean. Rates of climate change on decadal time scales ultimately depend on oceanic processes taking place in the Southern Ocean, yet too little is known about the underlying processes. Limitations come both from the lack of observations in this extreme environment and its inherent sensitivity to intermittent small-scale processes that are not captured in current Earth system models.