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  • 2020-2024  (28)
  • 1960-1964  (13)
  • 1930-1934
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  • 1
    Online Resource
    Online Resource
    Spatial Modeling and Assessment of Environmental Contaminants : Risk Assessment and Remediation (2021)
    Cham :Springer International Publishing :
    Details
    Keywords: Biotic communities. ; Environmental monitoring. ; Environmental management. ; Environmental chemistry. ; Pollution. ; Ecosystems. ; Environmental Monitoring. ; Environmental Management. ; Environmental Chemistry. ; Pollution.
    Description / Table of Contents: Part I. Soil and Sediment Contaminants, Risk Assessment and Remediation -- Chapter 1. Introduction to Part I: Soil and Sediment Contaminants, Risk Assessment and Remediation -- Chapter 2. Combating Arsenic Pollution in Soil Environment via Alternate Agricultural Land Use -- Chapter 3. Temporal and Seasonal Variation in Leachate Pollution Index (LPI) in Sanitary Landfill Sites- A Case study of Baidyabati landfill, West Bengal, India -- Chapter 4.Quantification of Landfill Gas Emission and Energy Recovery Potential: A Comparative Assessment of LandGEM and MTM Model for Kolkata -- Chapter 5. Assessment of natural enrichment of heavy minerals along coastal placers of India: Role of lake and river mouth embayment and its implications -- Chapter 6. Assessment the Impact of Plastic Contaminated Fertilizers on Agricultural Soil Health: A Case Study in Memari II C.D.Block, Purba Bardhaman,West Bengal, India -- Chapter 7. Determining the Role of Leaf Relative Water Content and Soil Cation Exchange Capacity in Phytoextraction Process – Using Regression Modelling -- Chapter 8. Phytoremediation of Arsenic using Allium sativum as Model System -- Chapter 9. Spatio-temporal analysis of open waste dumping sites using Google Earth: A case study of Kharagpur City, India -- Part II. Water Contaminants, Risk Assessment and Remediation -- Chapter 10. Introduction to Part II: Water Contaminants, Risk Assessment and Remediation -- Chapter 11. Groundwater Arsenic Contamination Zone based on geospatial modeling, risk and remediation -- Chapter 12. Geospatial assessment of surface water pollution and industrial activities in Ibadan, Nigeria -- Chapter 13. Aquaculture-based water quality assessment and risk remediationalong the Rasulpur River belt, West Bengal -- Chapter 14. Heavy Metal Contamination in Groundwater and Impact on Plant and Human -- Chapter 15. Emerging Threats of Microplastic contaminant in freshwater environment -- Chapter 16. Exploring Particle Size Transport Variability of Suspended Sediments in two Alpine Catchments over the Lesser Himalayan Region, India -- Chapter 17. Salinity and corrosion potential of groundwater in Mewat district of Haryana, India -- Chapter 18. Threats to quality in the coasts of the Black Sea: heavy metal pollution of seawater, sediment, macro-algae and sea-grass -- Chapter 19. Geospatial assessment of groundwater quality for drinking through Water Quality Index and Human Health Risk Index in an upland area of Chotanagpur Plateau of West Bengal, India -- Chapter 20. Existence of Pharmaceuticals and Personal Care Products (PPCPs) in the conventional water treatment process -- Chapter 21. Arsenic-rich surface and groundwater around eastern parts of Rupnagar district, Punjab, India -- Part III. Environmental Contaminants, Impacts and Sustainable Management -- Chapter 22. Introduction to Part III: Environmental Contaminants, Risk Assessment and Remediation -- Chapter 23. Dynamics of ultra-fine particles in indoor and outdoor environments: a modelling approach to study the evolution of particle characteristics -- Chapter 24. Environmental impacts of coal-mining and coal-fired power-plant activities in a developing country with global context -- Chapter 25. Overview of Indoor air pollution: A human health perspective -- Chapter 26. Mineralogy and Morphological characterization of Technogenic Magnetic Particles (TMP) from industrial dust: Insights into environmental implications -- Chapter 27. Pesticides: Recent Updates on Types Toxicity and Bioremediation Strategies -- Chapter 28. Commonly available plant neem (Azadirachtaindica A. Juss) ameliorates dimethoate induced toxicity in climbing perch Anabas testudineus -- Chapter 29. Estimating Particulate Matter concentrations from MODIS AOD considering meteorological parameters using Random Forest Algorithm -- Chapter 30 Bio-monitoring and bioremediation of a trans-boundary river in India: Functional roles of benthic mollusks and fungi -- Chapter 31 Assessing the Maximum Aerobic Biodegradation Potential of Leaf Litter, an Organic Fraction of Municipal Solid Waste, Under Optimum Nutrient Conditions -- Chapter 32. Rising trend of air pollution and its decadal consequences on meteorology and thermal comfort over Gangetic West Bengal, India.
    Abstract: This book demonstrates the measurement, monitoring and mapping of environmental contaminants in soil & sediment, surface & groundwater and atmosphere. This book explores state-of-art techniques based on methodological and modeling in modern geospatial techniques specifically focusing on the recent trends in data mining techniques and robust modeling. It also presents modifications of and improvements to existing control technologies for remediation of environmental contaminants. In addition, it includes three separate sections on contaminants, risk assessment and remediation of different existing and emerging pollutants. It covers major topics such as: Radioactive Wastes, Solid and Hazardous Wastes, Heavy Metal Contaminants, Arsenic Contaminants, Microplastic Pollution, Microbiology of Soil and Sediments, Soil Salinity and Sodicity, Aquatic Ecotoxicity Assessment, Fluoride Contamination, Hydrochemistry, Geochemistry, Indoor Pollution and Human Health aspects. The content of this book will be of interest to researchers, professionals, and policymakers whose work involves environmental contaminants and related solutions.
    Type of Medium: Online Resource
    Pages: XX, 720 p. 225 illus., 185 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9783030634223
    Series Statement: Environmental Challenges and Solutions,
    URL: https://doi.org/10.1007/978-3-030-63422-3
    DOI: 10.1007/978-3-030-63422-3
    DDC: 577
    Language: English
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    E-BOOKS (AWI ONLY)
  • 2
    Online Resource
    Online Resource
    Soil Health and Environmental Sustainability : Application of Geospatial Technology (2022)
    Cham :Springer International Publishing :
    Details
    Keywords: Geography. ; Soil science. ; Agriculture. ; Ecology . ; Geography. ; Soil Science. ; Agriculture. ; Ecology.
    Description / Table of Contents: Application of RS-GIS-R for soil-land resources assessment, monitoring, and modelling -- Assessment of soil health and monitoring -- Soil and sediments pollution -- Microbiology of Soil and Sediments -- Soil Salinity and Sodicity -- Soil erosion and contamination from agricultural activities -- Digital soil mapping and carbon stock modelling -- Soil degradation and Risk assessment -- Agricultural Soil Pollution -- Risk Assessment of Heavy Metal Contamination -- Environmental Pollution of Soil and Anthropogenic Impact -- Soil pollution by industrial effluents and solid wastes -- Environmental impact and risk assessment -- Open source satellite data and GIS for soil resources mapping and monitoring -- Bioremediation in soil resources management and land use planning.
    Abstract: This book demonstrates the measurement, monitoring, mapping and modelling of soil pollution and land resources. This book explores state-of-the-art techniques based on open sources software & R statistical programming and modelling in modern geo-computation techniques specifically focusing on the recent trends in data mining/machine learning techniques and robust modelling in soil resources. Soil and agricultural systems are an integral part of the global environment and human well‐being, providing multiple goods and services essential for people worldwide and crucial for sustainable development. Soil contamination is an environmental hazard and has become a big issue related to environmental health. The challenge of the twenty-first century is to reduce the contaminant load and bring it to below permissible level. The contamination is not only a problem affecting local environments at the place of occurrence but also spreading to other regions because of easy transportation of pollutants. This leads to direct and indirect contamination of land and aquatic systems, surface water and groundwater, inducing significant risks for natural ecosystems. In this context, the spatial modelling, prediction, efficient use, risk assessment, protection and management of soil resources in the agriculture system are the key to achieving sustainable development goals and ensuring the promotion of an economically, socially and environmental sustainability future. The aim of this book on soil contaminants and environmental health: application of geospatial technology is to identify the soil and sediment quality, sources of contaminants and risk assessment and focuses on the decision-making and planning point of view through GIS data management techniques. This book covers major topics such as spatial modelling in soil and sediments pollution and remediation; radioactive wastes, microbiology of soil and sediments, soil salinity and sodicity, pollution from landfill sites, soil erosion and contamination from agricultural activities, heavy metal pollution and health risk; environmental impact and risk assessment, sustainable land use, landscape management and governance, soil degradation and risk assessment, agricultural soil pollution, pollution due to urban activities, soil pollution by industrial effluents and solid wastes, pollution control and mitigation in extreme environments. The content of this book is of interest to researchers, professionals and policy-makers whose work is in soil science and agriculture practices. The book equips with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal and environmental implications.
    Type of Medium: Online Resource
    Pages: XXIV, 729 p. 208 illus., 188 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783031092701
    Series Statement: Environmental Science and Engineering,
    URL: https://doi.org/10.1007/978-3-031-09270-1
    DOI: 10.1007/978-3-031-09270-1
    DDC: 910
    Language: English
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  • 3
    Online Resource
    Online Resource
    Treatment and Disposal of Solid and Hazardous Wastes (2022)
    Cham :Springer International Publishing :
    Details
    Keywords: Refuse and refuse disposal. ; Environment. ; Pollution. ; Waste Management/Waste Technology. ; Environmental Sciences. ; Pollution. ; Environmental Sciences.
    Description / Table of Contents: 1. Biodegradation of Floral Waste under Aerobic Conditions with Different Microbial Inocula and Aeration Methods -- 2. The Treatment of Landfill Leachate and Other Wastewaters Using Constructed Wetlands -- 3. Occurrence of Natural Radioactivity, its Elevated Levels in Ground Water and Implications -- 4. Refuse Derived Fuel (RDF) Production and Utilisation Potential from Municipal Solid Waste (MSW) in India -- 5. Impact of Sandstone Quarrying on the Health of Quarry Workers and Local Residents: A Case Study of Keru, Jodhpur, India -- 6. Incorporation of Life Cycle Thinking in Development of Integrated Solid Waste Management Systems -- 7. Reuse and Recycle: A Green Chemistry Approach -- 8. An Integrated Solid Waste Management (ISWM) Plan Using Google Earth and Linear Programming: A Case Study of Kharagpur City, West Bengal -- 9. Optimization of F/M Ratio during Anaerobic Codigestion of Yard Waste with Food Waste: Biogas Production and System Stability -- 10. An Overview of the Municipal Solid Waste Management Rules in India -- 11. Environmental Implications of High Radiation in Beach Placers -- 12. Wastes to Wealth for Bioenergy Generation -- Index.
    Abstract: Interest in solid and hazardous waste management is relatively recent, i.e., in the last three decades, and is driven by regulations in most countries. It began with industrial hazardous waste followed by municipal solid waste, and subsequently by many other categories of waste. This book presents numerous examples and case studies of innovative tools, treatment methods and applications in this growing area of research and development. It describes in detail laboratory methods of measuring the biodegradation of specific organic fractions, like floral waste, and also discusses the treatment of yard and food waste by anaerobic digestion and landfill leachate using constructed wetlands. Case studies are provided that show how remote sensing (RS) and GIS were used to develop an integrated solid waste management plan for a city and to evaluate the environmental impacts of stone quarrying activities. The book also features chapters discussing the implications of natural radioactivity in beach placers and their impact on groundwater and other parts of the environment, as well as the twelve principles of green chemistry and their application in the reuse and recycling of solid waste. Moreover, it includes examples of waste to energy, like refuse derived fuel and biofuel generation and an evaluation of their potential, and covers topics such as life cycle assessment as a tool for developing integrated solid waste management systems and an overview of municipal solid waste management rules, illustrating the importance of technological inputs in the development of regulatory frameworks. Written by leading practitioners and scholars in the field, the book enables readers to understand and apply these principles and practices in their endeavours.
    Type of Medium: Online Resource
    Pages: IX, 236 p. 1 illus. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783030296438
    URL: https://doi.org/10.1007/978-3-030-29643-8
    DOI: 10.1007/978-3-030-29643-8
    DDC: 363.728
    Language: English
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  • 4
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    Terpenoids and related compounds—II Investigations on the structure of nimbin (1960)
    Elsevier
    Details
    Publication Date: 1960-01-01
    Print ISSN: 0040-4020
    Electronic ISSN: 1464-5416
    Topics: Chemistry and Pharmacology
    Published by Elsevier
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    PAPER CURRENT
  • 5
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    Sedimentological and remote sensing data from the reef island Langkai, Spermonde Archipelago, Indonesia (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-23
    Description: The data set includes sedimentological data (grain size distribution, facies compositions & radiocarbon ages) and satellite imagery data (shoreline analysis) of the reef island Langkai, SW Sulawesi, Indonesia. The data was collected in order to reconstruct the Holocene and modern (sediment) dynamics over the past ca 6,000 years. Sediment samples were obtained from sediment cores taken by percussion drilling and hand-held (Auger) coring in May 2016 and July 2021. Laboratory analysis of the sediments and shoreline analysis were carried out between 2021 and 2023. The grain size distribution was determined by dry-sieving of the bulk sample into fractions following Wentworth (1922). The subsequent analysis of grain size statistics was done in GRADISTAT v9.1 (Blott & Pye, 2001). The skeletal components of the grain size fractions 〉2 mm, 2-1 mm, 1-0.5 mm and 0.5-0.25 mm were analyzed under a digital microscope by point counting. A total of n=100 skeletal components were identified from each fraction. These results were then used to calculate the relative proportions in each sample. A total of 20 radiocarbon ages from AMS dating were calibrated using OxCal online v4.4 (Bronk Ramsey, 2009), with the MARINE20 curve (Heaton et al., 2020) and a regional reservoir correction of deltaR= 0+-0 as suggested by Southon et al. (2002). The shoreline analysis is based on satellite image data (1999-2023; acquired from multiple sources, see data set for detailed description) and was analyzed with the Digital Shoreline Analysis Tool (Thieler et al., 2009) in ArcGIS.
    Keywords: Carbonate Sedimentology; Facies; Grain Size; Holocene; radiocarbon age; Southeast Asia; Spermonde Archipelago
    Type: Dataset
    Format: application/zip, 7 datasets
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    DATA PANGAEA
  • 6
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    Shoreline movement of reef island Langkai, Spermonde Archipelago, Indonesia from 1999-2023 (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-23
    Description: The shoreline analysis of the reef island Langkai, SW Sulawesi, Indonesia is based on satellite images from 1999-2023. Transects (n=306) were used for shoreline analysis. Net shoreline movement and end point rate at each transect were calculated with the Digital Shoreline Analysis Tool (Thieler et al., 2009) in ArcGIS.
    Keywords: Carbonate Sedimentology; Change rate; Digital Shoreline Analysis System extension for ESRI ArcGIS, Thieler et al, 2009; Facies; Grain Size; Holocene; Langkai_sat; LATITUDE; Latitude 2; LONGITUDE; Longitude 2; Net shoreline movement; radiocarbon age; Satellite imagery; SATI; Southeast Asia; Spermonde Archipelago; Transect number
    Type: Dataset
    Format: text/tab-separated-values, 1530 data points
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    DATA PANGAEA
  • 7
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    Raw grain sizes of sediments from the reef island Langkai, Spermonde Archipelago, Indonesia (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-23
    Description: The data set includes grain size distribution of sediments from the reef island Langkai, SW Sulawesi, Indonesia. The data was collected in order to reconstruct the Holocene and modern (sediment) dynamics over the past ca 6,000 years. Sediment samples were obtained from sediment cores taken by percussion drilling and hand-held (Auger) coring in May 2016 and July 2021. Laboratory analysis of the sediments and shoreline analysis were carried out between 2021 and 2023. The grain size distribution was determined by dry-sieving of the bulk sample into fractions following Wentworth (1922).
    Keywords: AUG; Auger; Calculated average/mean values; Carbonate Sedimentology; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Dried and weighted; Dry sieving; Event label; Facies; Grain Size; Holocene; Langkai_1; Langkai_2; Langkai_3; Langkai_4; Langkai_5; Langkai_Auger_1; Langkai_Auger_10; Langkai_Auger_11; Langkai_Auger_12; Langkai_Auger_13; Langkai_Auger_14; Langkai_Auger_15; Langkai_Auger_16; Langkai_Auger_17; Langkai_Auger_18; Langkai_Auger_19; Langkai_Auger_2; Langkai_Auger_20; Langkai_Auger_21; Langkai_Auger_22; Langkai_Auger_23; Langkai_Auger_24; Langkai_Auger_25; Langkai_Auger_26; Langkai_Auger_27; Langkai_Auger_28; Langkai_Auger_29; Langkai_Auger_3; Langkai_Auger_30; Langkai_Auger_31; Langkai_Auger_4; Langkai_Auger_5; Langkai_Auger_6; Langkai_Auger_7; Langkai_Auger_8; Langkai_Auger_9; PCOR; Percussion corer; radiocarbon age; Sample ID; Sediment, dry mass; Size fraction 〈 0.063 mm, mud, silt+clay; Size fraction 0.125-0.063 mm; Size fraction 0.250-0.125 mm; Size fraction 0.500-0.250 mm; Size fraction 1.000-0.500 mm, 0.0-1.0 phi, coarse sand; Size fraction 16-8 mm, medium gravel; Size fraction 2.000-1.000 mm, (-1.0)-0.0 phi, very coarse sand; Size fraction 32-16 mm, coarse gravel, pebble; Size fraction 4.0-2.0 mm, very fine gravel, granule; Size fraction 8.0-4.0 mm, fine gravel; Southeast Asia; Spermonde Archipelago
    Type: Dataset
    Format: text/tab-separated-values, 742 data points
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    DATA PANGAEA
  • 8
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    Grain size statistics of sediments from the reef island Langkai, Spermonde Archipelago, Indonesia (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-23
    Description: The data set includes grain size statisticsof sediments from the reef island Langkai, SW Sulawesi, Indonesia. The data was collected in order to reconstruct the Holocene and modern (sediment) dynamics over the past ca 6,000 years. Sediment samples were obtained from sediment cores taken by percussion drilling and hand-held (Auger) coring in May 2016 and July 2021. Laboratory analysis of the sediments and shoreline analysis were carried out between 2021 and 2023. The grain size distribution was determined by dry-sieving of the bulk sample into fractions following Wentworth (1922). The subsequent analysis of grain size statistics was done in GRADISTAT v9.1 (Blott & Pye, 2001).
    Keywords: Arithmetic method of moments; AUG; Auger; Calculated; Calculated average/mean values; Carbonate Sedimentology; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Event label; Facies; Geometric method of moments; Grain quartile 75%/Grain quartile 25%; Grain Size; Grain size, distribution, interquartile range; Grain size, distribution interquartile range; Grain size, distribution spread; Grain size, mean; Grain size description; Grain size parameters (Folk and Ward, 1957); Gravel; Holocene; Kurtosis; Kurtosis description; Langkai_1; Langkai_2; Langkai_3; Langkai_4; Langkai_5; Langkai_Auger_1; Langkai_Auger_10; Langkai_Auger_11; Langkai_Auger_12; Langkai_Auger_13; Langkai_Auger_14; Langkai_Auger_15; Langkai_Auger_16; Langkai_Auger_17; Langkai_Auger_18; Langkai_Auger_19; Langkai_Auger_2; Langkai_Auger_20; Langkai_Auger_21; Langkai_Auger_22; Langkai_Auger_23; Langkai_Auger_24; Langkai_Auger_25; Langkai_Auger_26; Langkai_Auger_27; Langkai_Auger_28; Langkai_Auger_29; Langkai_Auger_3; Langkai_Auger_30; Langkai_Auger_31; Langkai_Auger_4; Langkai_Auger_5; Langkai_Auger_6; Langkai_Auger_7; Langkai_Auger_8; Langkai_Auger_9; Logarithmic method of moments; Median, grain size; Mode, grain size; Mud; PCOR; Percentile 10; Percentile 90; Percussion corer; radiocarbon age; Ratio to 10 percentile; Sample ID; Sample type; Sand; Sediment type; Sieving, error relative; Size fraction 〈 0.002 mm, clay; Size fraction 0.004-0.002 mm, 8.0-9.0 phi, very fine silt; Size fraction 0.008-0.004 mm, 7.0-8.0 phi, fine silt; Size fraction 0.016-0.008 mm, 6.0-7.0 phi, medium silt; Size fraction 0.032-0.016 mm, 5.0-6.0 phi, coarse silt; Size fraction 0.063-0.032 mm, 4.0-5.0 phi, very coarse silt; Size fraction 0.125-0.063 mm, 3.0-4.0 phi, very fine sand; Size fraction 0.250-0.125 mm, 2.0-3.0 phi, fine sand; Size fraction 0.500-0.250 mm, 1.0-2.0 phi, medium sand; Size fraction 1.000-0.500 mm, 0.0-1.0 phi, coarse sand; Size fraction 16-8 mm, medium gravel; Size fraction 2.000-1.000 mm, (-1.0)-0.0 phi, very coarse sand; Size fraction 32-16 mm, coarse gravel, pebble; Size fraction 4.0-2.0 mm, very fine gravel, granule; Size fraction 64-32 mm, very coarse gravel, pebble; Size fraction 8.0-4.0 mm, fine gravel; Skewness; Skewness description; Sorting; Sorting description; Southeast Asia; Spermonde Archipelago; Statistical analysis GRADISTAT package (Blott and Pye, 2001); Texture
    Type: Dataset
    Format: text/tab-separated-values, 3524 data points
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    DATA PANGAEA
  • 9
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    Skeletal component counts of sediments from the reef island Langkai, Spermonde Archipelago, Indonesia (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-23
    Description: The data set includes facies compositions of sediments from the reef island Langkai, SW Sulawesi, Indonesia. The data was collected in order to reconstruct the Holocene and modern (sediment) dynamics over the past ca 6,000 years. Sediment samples were obtained from sediment cores taken by percussion drilling and hand-held (Auger) coring in May 2016 and July 2021. Laboratory analysis of the sediments and shoreline analysis were carried out between 2021 and 2023. The skeletal components of the grain size fractions 〉2 mm, 2-1 mm, 1-0.5 mm and 0.5-0.25 mm were analyzed under a digital microscope by point counting. A total of n=100 skeletal components were identified from each fraction.
    Keywords: Aggregates; AUG; Auger; Bioclasts; Bivalvia; Bryozoa; Calculated average/mean values; Carbonate Sedimentology; Coral; Counting, microscope; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Echinodermata; Event label; Facies; Foraminifera; Gastropoda; Grain Size; Halimeda; Holocene; Langkai_1; Langkai_2; Langkai_3; Langkai_4; Langkai_5; Langkai_Auger_1; Langkai_Auger_10; Langkai_Auger_11; Langkai_Auger_12; Langkai_Auger_13; Langkai_Auger_14; Langkai_Auger_15; Langkai_Auger_16; Langkai_Auger_17; Langkai_Auger_18; Langkai_Auger_19; Langkai_Auger_2; Langkai_Auger_20; Langkai_Auger_21; Langkai_Auger_22; Langkai_Auger_23; Langkai_Auger_24; Langkai_Auger_25; Langkai_Auger_26; Langkai_Auger_27; Langkai_Auger_28; Langkai_Auger_29; Langkai_Auger_3; Langkai_Auger_30; Langkai_Auger_31; Langkai_Auger_4; Langkai_Auger_5; Langkai_Auger_6; Langkai_Auger_7; Langkai_Auger_8; Langkai_Auger_9; PCOR; Percussion corer; radiocarbon age; Rhodophyta; Sample ID; Serpulidae; Size fraction; Southeast Asia; Spermonde Archipelago
    Type: Dataset
    Format: text/tab-separated-values, 3180 data points
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    DATA PANGAEA
  • 10
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    Radiocarbon (C14) measurements of sediments from the reef island Langkai, Spermonde Archipelago, Indonesia (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-23
    Description: The data set includes radiocarbon ages of sediments from the reef island Langkai, SW Sulawesi, Indonesia. The data was collected in order to reconstruct the Holocene and modern (sediment) dynamics over the past ca 6,000 years. Sediment samples were obtained from sediment cores taken by percussion drilling and hand-held (Auger) coring in May 2016 and July 2021. Laboratory analysis of the sediments and shoreline analysis were carried out between 2021 and 2023. In bulk sediment samples, a total of 20 radiocarbon ages from AMS dating were calibrated using OxCal online v4.4 (Bronk Ramsey, 2009), with the MARINE20 curve (Heaton et al., 2020) and a regional reservoir correction of deltaR= 0+-0 as suggested by Southon et al. (2002).
    Keywords: Age, 14C AMS; Age, 14C calibrated, MARINE20 (Heaton et al., 2020); Age, dated; Age, dated, uncertainty; AUG; Auger; Calculated average/mean values; Calendar age, maximum/old; Calendar age, mean; Calendar age, median; Calendar age, minimum/young; Calendar age, standard deviation; Carbonate Sedimentology; Confidence level; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Event label; Facies; Grain Size; Holocene; Langkai_1; Langkai_2; Langkai_3; Langkai_4; Langkai_5; Langkai_Auger_1; Langkai_Auger_10; Langkai_Auger_15; Langkai_Auger_19; Langkai_Auger_22; Langkai_Auger_26; Langkai_Auger_3; Langkai_Auger_31; Langkai_Auger_6; Langkai_Auger_8; PCOR; Percussion corer; radiocarbon age; Sample ID; Southeast Asia; Spermonde Archipelago
    Type: Dataset
    Format: text/tab-separated-values, 220 data points
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    DATA PANGAEA
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