cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15493/obs.monitor.69042683
title: Dwarsberg Automatic Weather Station - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a South African Environmental Observation Network (SAEON) weather station at the Dwarsberg monitoring site in the Jonkershoek catchment. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of environmental and meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.
DOI: 10.15493/obs.monitor.45061426
title: Zingela Automatic Weather Station - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a South African Environmental Observation Network (SAEON) weather station at the Zingela Safari and River Company monitoring site. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of environmental and meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.
DOI: 10.15493/obs.monitor.08181522
title: Constantiaberg Automatic Weather Station - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a SAEON weather station at the Constantiaberg monitoring site in the Table Mountain National Park. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of environmental and meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.
DOI: 10.15493/obs.monitor.23317120
title: Tierberg Automatic Weather Station - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a South African Environmental Observation Network (SAEON) weather station in the Tierberg Karoo Research Center grounds. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of environmental and meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.
DOI: 10.15493/dea.mims.26052159
title: Processed Expendable Bathythermograph (XBT) casts collected during the 2019 Marion Relief Voyage on SA Agulhas Voyage 036

description: SA Agulhas Voyage 036
description: The South African component of the international South Atlantic Meridional Overturning Circulation project (SAMOC-SA) aims to characterise the time-mean and time-varying components of the SAMOC in the South Atlantic Ocean and monitor the variability of the main Southern Ocean frontal systems associated with the Antarctic Circumpolar Current (ACC), south of Africa. The Crossroads monitoring line, directly under the altimetry track N198, is sampled annually during the Marion Relief voyages, using a combination of CTD stations and XBT casts, where the XBT casts are done, at set intervals, between CTD stations to complement the CTD data. Here we present 57 processed XBT casts collected along the Crossroads Transect, between 10 May 2019 and 14 May 2019, during the 2019 Marion Relief Voyage.
description: Sippican WinMK21 Data Acquisition and Post-Processing Software is used for data collection of T7 Deep Blue XBT probes, rated to 1000m. The data is collected in *.bin format and then converted to *.txt files using the software.The *.txt files contain some metadata at the top of file, but not always fully completed by operators. The processed data has been edited, using the raw text data, where temperature spikes and XBT signal loss, at end of cast, were removed. Metadata containing cast details has been added to the top of the file for the 57 XBT casts.
DOI: 10.15493/dea.mims.26052211
title: Marion Island Relief on the SA Agulhas II Voyage 036, April 2019

description: The 2019 Marion Relief Voyage offered the 7th opportunity to conduct multi-disciplinary, shipbased marine research focusing on links and interactions between air and sea, ocean physics, chemistry, biogeochemistry and biology, including microbial, planktic and benthic communities on board South Africa’s polar research and supply vessel MV SA Agulhas II en route to, and around, the sub-Antarctic Prince Edward archipelago. The overall aim was to continue contributing to an oceanographic observation and monitoring system directed by South African research institutions in support of South Africa’s needs – and where possible, in support of global requirements of inter alia the Global Oceans Observing System (GOOS), the Southern Ocean Observing System (SOOS), the Convention for the Conservation of Antarctic Marine Living Resources (CCAMLR), and the Agreement on the Conservation of Albatrosses and Petrels (ACAP). With the declaration on 9 April 2013 of the Prince Edward Islands (PEIs) as South Africa’s first offshore Marine Protected Area (MPA), the outcomes of this cruise will further contribute toward an integrated view and a better understanding of the functioning of the combined island/marine PEI ecosystem.
DOI: 10.15493/obs.monitor.99292338
title: Medical Research Council/Wits Agincourt Automatic Weather Station - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a South African Environmental Observation Network (SAEON) weather station at the Medical Research Council/Wits Agincourt monitoring site. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of environmental and meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.
DOI: 10.15493/obs.monitor.49511556
title: iThemba Labs Automatic Weather Station - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a South African Environmental Observation Network (SAEON) weather station at the iThemba Labs monitoring site. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of environmental and meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.
DOI: 10.5281/zenodo.18299458
title: Unified FLUXes (UFLUX) emulator v2 and Data of Journal Publication

description: Process-based biosphere models, which formulate biophysical ecosystem processes, provide a mechanistic framework for understanding terrestrial carbon dynamics. In contrast, data-driven approaches, such as upscaling eddy covariance (EC) fluxes using satellite observations and machine learning, offer empirical estimates. These complementary methods often diverge significantly, particularly in estimating global photosynthetic uptake and ecosystem respiration, with discrepancies exceeding 50 Pg C yr−1^{-1}−1, highlighting persistent uncertainties.

To bridge this gap, we adopt a hybrid strategy that embeds physiological understanding via semi-empirical models, refines it with EC fluxes constrained by machine learning, and integrates process-based allocation to resolve component fluxes. This process-informed hybrid approach links ecological knowledge with predictive models, enabling generalisation beyond flux tower sites and supporting the development of new insights.

We assess global carbon dynamics over the past two decades, applying Bayesian inference to evaluate climate impacts on land carbon processes. Our study delivers the first observational and process-informed hybrid assessment of global carbon flux and stock changes. Notably, while gross carbon uptake is consistent across methods (130 Pg C yr−1^{-1}−1 in 2022, increasing by 0.4 Pg C yr−1^{-1}−1 annually), respiration estimates diverge — from 6 Pg C yr−1^{-1}−1 in process-based models to 26 Pg C yr−1^{-1}−1 in conventional upscaling, and 16 Pg C yr−1^{-1}−1 in our hybrid model — revealing structural limitations in respiration parameterisation.

Improved representation of respiratory processes is essential to capture the competing roles of photosynthesis and respiration under climate change. Despite rising global carbon fluxes and biomass stocks, tipping point risks remain: in tropical regions, increased photosynthesis (0.1 Pg C yr−1^{-1}−1) is offset by rising respiration (0.05 Pg C yr−1^{-1}−1).
DOI: 10.15493/dea.mims.26052158
title: Raw Expendable Bathythermograph (XBT) casts collected during the 2019 Marion Relief Voyage on SA Agulhas Voyage 036

description: SA Agulhas Voyage 036
description: The South African component of the international South Atlantic Meridional Overturning Circulation project (SAMOC-SA) aims to characterise the time-mean and time-varying components of the SAMOC in the South Atlantic Ocean and monitor the variability of the main Southern Ocean frontal systems associated with the Antarctic Circumpolar Current (ACC), south of Africa. The Crossroads monitoring line, directly under the altimetry track N198, is sampled annually during the Marion Relief voyages, using a combination of CTD stations and XBT casts, where the XBT casts are done, at set intervals, between CTD stations to complement the CTD data. Here we present 58 raw XBT casts collected along the Crossroads Transect, between 10 May 2019 and 14 May 2019, during the 2019 Marion Relief Voyage.
description: Sippican WinMK21 Data Acquisition and Post-Processing Software is used for data collection of T7 Deep Blue XBT probes. The data is collected in *.bin format and then converted to *.txt files using software. The *.txt files contain some metadata at the top of file, but not always fully completed by operators. There is no editing done to the data in the acquisition software and so the bottom readings, where the XBT loses signal, have not been removed for the 58 XBT casts.
DOI: 10.5281/zenodo.18299457
title: Unified FLUXes (UFLUX) emulator v2 and Data of Journal Publication

description: Process-based biosphere models, which formulate biophysical ecosystem processes, provide a mechanistic framework for understanding terrestrial carbon dynamics. In contrast, data-driven approaches, such as upscaling eddy covariance (EC) fluxes using satellite observations and machine learning, offer empirical estimates. These complementary methods often diverge significantly, particularly in estimating global photosynthetic uptake and ecosystem respiration, with discrepancies exceeding 50 Pg C yr−1^{-1}−1, highlighting persistent uncertainties.

To bridge this gap, we adopt a hybrid strategy that embeds physiological understanding via semi-empirical models, refines it with EC fluxes constrained by machine learning, and integrates process-based allocation to resolve component fluxes. This process-informed hybrid approach links ecological knowledge with predictive models, enabling generalisation beyond flux tower sites and supporting the development of new insights.

We assess global carbon dynamics over the past two decades, applying Bayesian inference to evaluate climate impacts on land carbon processes. Our study delivers the first observational and process-informed hybrid assessment of global carbon flux and stock changes. Notably, while gross carbon uptake is consistent across methods (130 Pg C yr−1^{-1}−1 in 2022, increasing by 0.4 Pg C yr−1^{-1}−1 annually), respiration estimates diverge — from 6 Pg C yr−1^{-1}−1 in process-based models to 26 Pg C yr−1^{-1}−1 in conventional upscaling, and 16 Pg C yr−1^{-1}−1 in our hybrid model — revealing structural limitations in respiration parameterisation.

Improved representation of respiratory processes is essential to capture the competing roles of photosynthesis and respiration under climate change. Despite rising global carbon fluxes and biomass stocks, tipping point risks remain: in tropical regions, increased photosynthesis (0.1 Pg C yr−1^{-1}−1) is offset by rising respiration (0.05 Pg C yr−1^{-1}−1).
DOI: 10.15493/dea.mims.25010010
title: Raw underway Thermosalinograph (TSG) observations from the SA Agulhas II Voyage 036, April 2019

description: SA Agulhas II Voyage 036
description: A SeaBird SBE45 Thermosalinograph (TSG) is used to opportunistically collect underway near-surface temperature and conductivity measurements during research and monitoring cruises. Water is continuously pumped to the TSG from an intake located in the hull of the vessel, and the observations are continuously interfaced with navigational information. A temperature sensor close to the intake provides temperature measurements of the incoming water (T1). The temperature of the water inside the conductivity cell (T2) is used to accurately compute salinity (S) from the conductivity measurements (C). Here we present the 10-second resolution raw TSG data collected, between 10 April 2019 and 14 May 2019, during Voyage 036 on the SA Agulhas II.
description: The SeaBird SBE45 Thermosalinograph (TSG) is used on the SA Agulhas II for the collection of underway near-surface temperature and conductivity measurements. The underway seawater is obtained from a depth of 7m below the surface and pumped through the TSG. Data is collected using the most recent SeaBird (SBE) SeaSave software. The software was set to record data at 10 second intervals for the duration of the cruise, between 10 April 2019 and 14 May 2019. Data was collected in the southern part of the Benguela Current Large Marine Ecosystem (BCLME) region, on the west and south coasts of South Africa, and in the Southern Ocean.
DOI: 10.15493/dea.mims.15142023
title: Marion Island Relief Voyage on the SA Agulhas II Voyage 066, April 2025

description: The 2025 Marion Relief Voyage 066 offered the 13th opportunity to conduct multi-disciplinary, ship-based oceanographic research on board the SA Agulhas II en route to, from, and around, the sub-Antarctic Prince Edward Islands (PEIs). The ship-based research was conducted as a joint multi-institutional, multidisciplinary effort with scientists, research technicians, interns and students from the Department of Forestry, Fisheries and the Environment: Oceans & Coasts Research (DFFE-OCR), Department of Forestry, Fisheries and the Environment: Specialist Monitoring Services (DFFE-SMS), Bayworld Centre for Research and Education (BCRE) and the University of Cape Town (UCT), all collaborating to achieve a variety of research and monitoring project objectives. The voyage took place between 17 April 2025 and 27 May 2025.
DOI: 10.15493/dea.mims.15152023
title: Raw Expendable Bathythermograph (XBT) casts from the Marion Island Relief Voyage on the SA Agulhas II Voyage 066, May 2025

description: Raw Expendable Bathythermograph (XBT) casts collected along the Crossroads Transect, between 16 May 2025 and 18 May 2025, during the 2025 Marion Relief Voyage on the SA Agulhas II Voyage 066.
description: Here we present 74 raw Expendable Bathythermograph (XBT) casts collected along the Crossroads Transect, between 16 May 2025 and 18 May 2025, during the 2025 Marion Relief Voyage on the SA Agulhas II Voyage 066. The South African component of the international South Atlantic Meridional Overturning Circulation project (SAMOC-SA) aims to characterise the time-mean and time-varying components of the SAMOC in the South Atlantic Ocean and monitor the variability of the main Southern Ocean frontal systems associated with the Antarctic Circumpolar Current (ACC), south of Africa. The Crossroads monitoring line, directly under the altimetry track N198, is sampled annually during the Marion Relief voyages, using a combination of CTD stations and XBT casts, where the XBT casts are done, at set intervals, between CTD stations to complement the CTD data.
description: Sippican WinMK21 Data Acquisition and Post-Processing Software is used for data collection of T7 Deep Blue XBT probes. The data is collected in *.bin format and then converted to *.txt files using software.The *.txt files contain some metadata at the top of file, but not always fully completed by operators.There is no editing done to the data in the acquisition software and so the bottom readings, where the XBT loses signal, have not been removed for the 74 XBT casts.
DOI: 10.15493/dea.mims.15162023
title: Processed Expendable Bathythermograph (XBT) casts from the Marion Island Relief Voyage on the SA Agulhas II Voyage 066, May 2025

description: Processed Expendable Bathythermograph (XBT) casts collected along the Crossroads Transect, between 16 May 2025 and 18 May 2025, during the 2025 Marion Relief Voyage on the SA Agulhas II Voyage 066.
description: Here we present 74 processed Expendable Bathythermograph (XBT) casts collected along the Crossroads Transect, between 16 May 2025 and 18 May 2025, during the 2025 Marion Relief Voyage on the SA Agulhas II Voyage 066. The South African component of the international South Atlantic Meridional Overturning Circulation project (SAMOC-SA) aims to characterise the time-mean and time-varying components of the SAMOC in the South Atlantic Ocean and monitor the variability of the main Southern Ocean frontal systems associated with the Antarctic Circumpolar Current (ACC), south of Africa. The Crossroads monitoring line, directly under the altimetry track N198, is sampled annually during the Marion Relief voyages, using a combination of CTD stations and XBT casts, where the XBT casts are done, at set intervals, between CTD stations to complement the CTD data.
description: Sippican WinMK21 Data Acquisition and Post-Processing Software is used for data collection of T7 Deep Blue XBT probes, rated to 1000m. The data is collected in *.bin format and then converted to *.txt files using the software.The *.txt files contain some metadata at the top of file, but not always fully completed by operators. The processed data has been edited, using the raw text data, where temperature spikes and XBT signal loss, at end of cast, were removed. Metadata containing cast details has been added to the top of the file for the 74 XBT casts
DOI: 10.15493/obs.monitor.50074678
title: Skukuza Savanna Eddy Covariance - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a South African Environmental Observation Network (SAEON) flux tower at the Skukuza savanna monitoring site. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of environmental and meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.
DOI: 10.15493/obs.monitor.70369025
title: Benfontein Automatic Weather Station - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a South African Environmental Observation Network (SAEON) weather station at the Benfontein Nature Reserve monitoring site. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of environmental and meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.
DOI: 10.15493/obs.monitor.69963566
title: Cathedral Peak Grassland Eddy Covariance - SAEON Terrestrial Observations Monitor

description: This dataset contains raw, unprocessed data collected continuously by a South African Environmental Observation Network (SAEON) flux tower at the Cathedral Peak Grassland monitoring site. The dataset is updated daily, with new values constantly ingested, when the sites are online. As a result, users can access near-real-time data captured at the site. The dataset covers a variety of environmental and meteorological parameters. Note that the data is presented as-is, without quality control, and is considered “Level Zero” data. Users should be aware that data gaps, outliers and/or other inconsistencies are expected due to routine maintenance, equipment downtime, or network connectivity issues.
DOI: 10.4121/f5e9c734-c14e-40f7-93a8-82884a0efbfc
title: Data for publication: Partitioning techniques for non-centralized predictive control: A systematic review and novel theoretical insights

description: The partitioning problem is of central relevance for designing and implementing non-centralized Model Predictive Control (MPC) strategies for large-scale systems. These control approaches include decentralized MPC, distributed MPC, hierarchical MPC, and coalitional MPC. Partitioning a system for the application of non-centralized MPC consists of finding the best definition of the subsystems, and their allocation into groups for the definition of local controllers, to maximize the relevant performance indicators. The present survey proposes a novel systematization of the partitioning approaches in the literature in five main classes: optimization-based, algorithmic, community-detection-based, game-theoretic-oriented, and heuristic approaches. A unified graph-theoretical formalism, a mathematical re-formulation of the problem in terms of mixed-integer programming, the novel concepts of predictive partitioning and multi-topological representations, and a methodological formulation of quality metrics are developed to support the classification and further developments of the field. We analyze the different classes of partitioning techniques, and we present an overview of their strengths and limitations, which include a technical discussion about the different approaches. Representative case studies are discussed to illustrate the application of partitioning techniques for non-centralized MPC in various sectors, including power systems, water networks, wind farms, chemical processes, transportation systems, communication networks, industrial automation, smart buildings, and cyber--physical systems. An outlook of future challenges completes the survey.