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  • 2010-2014  (652,999)
  • 1955-1959  (5)
  • 2012  (652,999)
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  • 1
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    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Publication Date: 2024-05-30
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090229, WRMC No. 16035; Pyranometer, Kipp & Zonen, CMP21, SN 100363, WRMC No. 16036; Pyranometer, Kipp & Zonen, CMP22, SN 090099, WRMC No. 16037; Pyrgeometer, Kipp & Zonen, CGR4, SN 090133, WRMC No. 16038; Pyrgeometer, Kipp & Zonen, CGR4, SN 090166, WRMC No. 16039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090140, WRMC No. 16034; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1073538 data points
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  • 2
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    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-05-30
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 808536 data points
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  • 3
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    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Publication Date: 2024-05-30
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090229, WRMC No. 16035; Pyranometer, Kipp & Zonen, CMP21, SN 100363, WRMC No. 16036; Pyranometer, Kipp & Zonen, CMP22, SN 090099, WRMC No. 16037; Pyrgeometer, Kipp & Zonen, CGR4, SN 090133, WRMC No. 16038; Pyrgeometer, Kipp & Zonen, CGR4, SN 090166, WRMC No. 16039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090140, WRMC No. 16034; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1038792 data points
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  • 4
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    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Publication Date: 2024-05-30
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090229, WRMC No. 16035; Pyranometer, Kipp & Zonen, CMP21, SN 100363, WRMC No. 16036; Pyranometer, Kipp & Zonen, CMP22, SN 090099, WRMC No. 16037; Pyrgeometer, Kipp & Zonen, CGR4, SN 090133, WRMC No. 16038; Pyrgeometer, Kipp & Zonen, CGR4, SN 090166, WRMC No. 16039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090140, WRMC No. 16034; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1073552 data points
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  • 5
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    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Publication Date: 2024-05-30
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090229, WRMC No. 16035; Pyranometer, Kipp & Zonen, CMP21, SN 100363, WRMC No. 16036; Pyranometer, Kipp & Zonen, CMP22, SN 090099, WRMC No. 16037; Pyrgeometer, Kipp & Zonen, CGR4, SN 090133, WRMC No. 16038; Pyrgeometer, Kipp & Zonen, CGR4, SN 090166, WRMC No. 16039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090140, WRMC No. 16034; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1073592 data points
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  • 6
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    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Publication Date: 2024-05-30
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090229, WRMC No. 16035; Pyranometer, Kipp & Zonen, CMP21, SN 100363, WRMC No. 16036; Pyranometer, Kipp & Zonen, CMP22, SN 090099, WRMC No. 16037; Pyrgeometer, Kipp & Zonen, CGR4, SN 090133, WRMC No. 16038; Pyrgeometer, Kipp & Zonen, CGR4, SN 090166, WRMC No. 16039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090140, WRMC No. 16034; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1004280 data points
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  • 7
    Publication Date: 2024-05-30
    Keywords: Alaska, USA; Algeria; Alice Springs; Antarctica; ASP; Australia; AWIPEV; AWIPEV_based; BAR; Barrow; Baseline Surface Radiation Network; BER; Bermuda; BIL; Billings; BON; Bondville; BOS; BOU; Boulder; Brasilia; Brasilia City, Distrito Federal, Brazil; Brazil; BRB; BSRN; CAB; Cabauw; CAM; Camborne; Canada; CAR; Carpentras; Cener; Chesapeake Light; China; CLH; CNR; COC; Cocos (Keeling) Islands; Cocos Island; Colorado, United States of America; Concordia Station, Dome C; Cosmonauts Sea; DAA; DAR; Darwin; Darwin Met Office; De Aar; Desert Rock; DOM; DRA; Dronning Maud Land, Antarctica; DWN; E13; Ellesmere Island, Canadian Arctic Archipelago; Estonia; EUR; Eureka; FLO; Florianopolis; Fort Peck; FPE; France; FUA; Fukuoka; GCR; Georg von Neumayer; Germany; Goodwin Creek; GVN; Illinois, United States of America; ILO; Ilorin; ISH; Ishigakijima; Israel; IZA; Izaña; Japan; KWA; Kwajalein; LAU; Lauder; LER; Lerwick; LIN; Lindenberg; Macdonnell Ranges, Northern Territory, Australia; MAN; Minamitorishima; Minami-Torishima; Mississippi, United States of America; MNM; Momote; Monitoring station; MONS; Montana, United States of America; NAU; Nauru; Nauru Island; Neumayer_based; NEUMAYER III; Nevada, United States of America; New Zealand; Nigeria; North Pacific Ocean; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Oklahoma, United States of America; PAL; Palaiseau, SIRTA Observatory; Papua New Guinea; PAY; Payerne; Pennsylvania, United States of America; Petrolina; PSU; PTR; REG; Regina; RLM; Rock Springs; Rolim de Moura; São Martinho da Serra; SAP; Sapporo; Saudi Arabia; SBO; Sede Boqer; Shetland Island, United Kingdom; Siberia, Russia; Sioux Falls; SMS; Solar Village; South Africa; South Atlantic Ocean; South Dakota, United States of America; Southern Great Plains; South Pole; SOV; Spain, Sarriguren, Navarra; SPO; Switzerland; SXF; SYO; Syowa; TAM; Tamanrasset; TAT; Tateno; Tenerife, Spain; The Netherlands; TIK; Tiksi; TOR; Toravere; United Kingdom; XIA; Xianghe
    Type: Dataset
    Format: 6787 datasets
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  • 8
    Publication Date: 2024-05-30
    Description: Today's digital libraries (DLs) archive vast amounts of information in the form of text, videos, images, data measurements, etc. User access to DL content can rely on similarity between metadata elements, or similarity between the data itself (content-based similarity). We consider the problem of exploratory search in large DLs of time-oriented data. We propose a novel approach for overview-first exploration of data collections based on user-selected metadata properties. In a 2D layout representing entities of the selected property are laid out based on their similarity with respect to the underlying data content. The display is enhanced by compact summarizations of underlying data elements, and forms the basis for exploratory navigation of users in the data space. The approach is proposed as an interface for visual exploration, leading the user to discover interesting relationships between data items relying on content-based similarity between data items and their respective metadata labels. We apply the method on real data sets from the earth observation community, showing its applicability and usefulness.
    Keywords: Alaska, USA; Antarctica; Australia; AWIPEV; AWIPEV_based; BAR; Barrow; BER; Bermuda; BOU; Boulder; Brasilia; Brasilia City, Distrito Federal, Brazil; Brazil; BRB; CAB; Cabauw; Canada; CAR; Carpentras; Chesapeake Light; CLH; Colorado, United States of America; Cosmonauts Sea; DAR; Darwin; Dronning Maud Land, Antarctica; E13; France; Georg von Neumayer; Germany; GVN; Israel; Japan; KWA; Kwajalein; LIN; Lindenberg; MAN; Momote; Monitoring station; MONS; NAU; Nauru; Nauru Island; Neumayer_based; NEUMAYER III; North Pacific Ocean; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Oklahoma, United States of America; PAL; Palaiseau, SIRTA Observatory; Papua New Guinea; PAY; Payerne; Petrolina; PTR; REG; Regina; São Martinho da Serra; SBO; Sede Boqer; SMS; South Atlantic Ocean; Southern Great Plains; South Pole; SPO; Switzerland; SYO; Syowa; TAT; Tateno; The Netherlands
    Type: Dataset
    Format: 269 datasets
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  • 9
    Publication Date: 2024-05-30
    Description: Visual cluster analysis provides valuable tools that help analysts to understand large data sets in terms of representative clusters and relationships thereof. Often, the found clusters are to be understood in context of belonging categorical, numerical or textual metadata which are given for the data elements. While often not part of the clustering process, such metadata play an important role and need to be considered during the interactive cluster exploration process. Traditionally, linked-views allow to relate (or loosely speaking: correlate) clusters with metadata or other properties of the underlying cluster data. Manually inspecting the distribution of metadata for each cluster in a linked-view approach is tedious, specially for large data sets, where a large search problem arises. Fully interactive search for potentially useful or interesting cluster to metadata relationships may constitute a cumbersome and long process. To remedy this problem, we propose a novel approach for guiding users in discovering interesting relationships between clusters and associated metadata. Its goal is to guide the analyst through the potentially huge search space. We focus in our work on metadata of categorical type, which can be summarized for a cluster in form of a histogram. We start from a given visual cluster representation, and compute certain measures of interestingness defined on the distribution of metadata categories for the clusters. These measures are used to automatically score and rank the clusters for potential interestingness regarding the distribution of categorical metadata. Identified interesting relationships are highlighted in the visual cluster representation for easy inspection by the user. We present a system implementing an encompassing, yet extensible, set of interestingness scores for categorical metadata, which can also be extended to numerical metadata. Appropriate visual representations are provided for showing the visual correlations, as well as the calculated ranking scores. Focusing on clusters of time series data, we test our approach on a large real-world data set of time-oriented scientific research data, demonstrating how specific interesting views are automatically identified, supporting the analyst discovering interesting and visually understandable relationships.
    Keywords: Alaska, USA; Antarctica; Australia; AWIPEV; AWIPEV_based; BAR; Barrow; BER; Bermuda; BOU; Boulder; Brasilia; Brasilia City, Distrito Federal, Brazil; Brazil; BRB; CAB; Cabauw; Canada; CAR; Carpentras; Chesapeake Light; CLH; Colorado, United States of America; Cosmonauts Sea; DAR; Darwin; Dronning Maud Land, Antarctica; E13; France; Georg von Neumayer; Germany; GVN; Israel; Japan; KWA; Kwajalein; LIN; Lindenberg; MAN; Momote; Monitoring station; MONS; NAU; Nauru; Nauru Island; Neumayer_based; NEUMAYER III; North Pacific Ocean; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Oklahoma, United States of America; PAL; Palaiseau, SIRTA Observatory; Papua New Guinea; PAY; Payerne; Petrolina; PTR; REG; Regina; São Martinho da Serra; SBO; Sede Boqer; SMS; South Atlantic Ocean; Southern Great Plains; South Pole; SPO; Switzerland; SYO; Syowa; TAT; Tateno; The Netherlands
    Type: Dataset
    Format: 265 datasets
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  • 10
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    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Publication Date: 2024-05-30
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090229, WRMC No. 16035; Pyranometer, Kipp & Zonen, CMP21, SN 100363, WRMC No. 16036; Pyranometer, Kipp & Zonen, CMP22, SN 090099, WRMC No. 16037; Pyrgeometer, Kipp & Zonen, CGR4, SN 090133, WRMC No. 16038; Pyrgeometer, Kipp & Zonen, CGR4, SN 090166, WRMC No. 16039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090140, WRMC No. 16034; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1038956 data points
    Location Call Number Expected Availability
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  • 11
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    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Publication Date: 2024-05-30
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090229, WRMC No. 16035; Pyranometer, Kipp & Zonen, CMP21, SN 100363, WRMC No. 16036; Pyranometer, Kipp & Zonen, CMP22, SN 090099, WRMC No. 16037; Pyrgeometer, Kipp & Zonen, CGR4, SN 090133, WRMC No. 16038; Pyrgeometer, Kipp & Zonen, CGR4, SN 090166, WRMC No. 16039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090140, WRMC No. 16034; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1073592 data points
    Location Call Number Expected Availability
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  • 12
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    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-05-30
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 743639 data points
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  • 13
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    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Publication Date: 2024-05-30
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090229, WRMC No. 16035; Pyranometer, Kipp & Zonen, CMP21, SN 100363, WRMC No. 16036; Pyranometer, Kipp & Zonen, CMP22, SN 090099, WRMC No. 16037; Pyrgeometer, Kipp & Zonen, CGR4, SN 090133, WRMC No. 16038; Pyrgeometer, Kipp & Zonen, CGR4, SN 090166, WRMC No. 16039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090140, WRMC No. 16034; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1038960 data points
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  • 14
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    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-05-30
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 810239 data points
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  • 15
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    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Publication Date: 2024-05-30
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090229, WRMC No. 16035; Pyranometer, Kipp & Zonen, CMP21, SN 100363, WRMC No. 16036; Pyranometer, Kipp & Zonen, CMP22, SN 090099, WRMC No. 16037; Pyrgeometer, Kipp & Zonen, CGR4, SN 090133, WRMC No. 16038; Pyrgeometer, Kipp & Zonen, CGR4, SN 090166, WRMC No. 16039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090140, WRMC No. 16034; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1073498 data points
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  • 16
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    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-05-30
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 837323 data points
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  • 17
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    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Publication Date: 2024-05-30
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090229, WRMC No. 16035; Pyranometer, Kipp & Zonen, CMP21, SN 100363, WRMC No. 16036; Pyranometer, Kipp & Zonen, CMP22, SN 090099, WRMC No. 16037; Pyrgeometer, Kipp & Zonen, CGR4, SN 090133, WRMC No. 16038; Pyrgeometer, Kipp & Zonen, CGR4, SN 090166, WRMC No. 16039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090140, WRMC No. 16034; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1038952 data points
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  • 18
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    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Publication Date: 2024-05-30
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 970365, WRMC No. 16028; Pyranometer, Kipp & Zonen, CM22, SN 010048, WRMC No. 16023; Pyranometer, Kipp & Zonen, CMP21, SN 100363, WRMC No. 16036; Pyrgeometer, Kipp & Zonen, CG4, SN 010582, WRMC No. 16026; Pyrgeometer, Kipp & Zonen, CGR4, SN 090166, WRMC No. 16039; Pyrheliometer, Kipp & Zonen, CH1, SN 950093, WRMC No. 16011; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1038924 data points
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  • 19
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    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Publication Date: 2024-05-30
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 970365, WRMC No. 16028; Pyranometer, Kipp & Zonen, CM22, SN 010048, WRMC No. 16023; Pyranometer, Kipp & Zonen, CMP21, SN 100363, WRMC No. 16036; Pyrgeometer, Kipp & Zonen, CG4, SN 010582, WRMC No. 16026; Pyrgeometer, Kipp & Zonen, CGR4, SN 090166, WRMC No. 16039; Pyrheliometer, Kipp & Zonen, CH1, SN 950093, WRMC No. 16011; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1073570 data points
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  • 20
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    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Publication Date: 2024-05-30
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 970365, WRMC No. 16028; Pyranometer, Kipp & Zonen, CM22, SN 010048, WRMC No. 16023; Pyranometer, Kipp & Zonen, CMP21, SN 100363, WRMC No. 16036; Pyrgeometer, Kipp & Zonen, CG4, SN 010582, WRMC No. 16026; Pyrgeometer, Kipp & Zonen, CGR4, SN 090166, WRMC No. 16039; Pyrheliometer, Kipp & Zonen, CH1, SN 950093, WRMC No. 16011; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1073580 data points
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  • 21
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    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Publication Date: 2024-05-30
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090229, WRMC No. 16035; Pyranometer, Kipp & Zonen, CMP21, SN 100363, WRMC No. 16036; Pyranometer, Kipp & Zonen, CMP22, SN 090099, WRMC No. 16037; Pyrgeometer, Kipp & Zonen, CGR4, SN 090133, WRMC No. 16038; Pyrgeometer, Kipp & Zonen, CGR4, SN 090166, WRMC No. 16039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090140, WRMC No. 16034; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1073572 data points
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  • 22
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    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-05-30
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 811993 data points
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  • 23
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    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-05-30
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 837532 data points
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  • 24
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    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Publication Date: 2024-05-30
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090229, WRMC No. 16035; Pyranometer, Kipp & Zonen, CMP21, SN 100363, WRMC No. 16036; Pyranometer, Kipp & Zonen, CMP22, SN 090099, WRMC No. 16037; Pyrgeometer, Kipp & Zonen, CGR4, SN 090133, WRMC No. 16038; Pyrgeometer, Kipp & Zonen, CGR4, SN 090166, WRMC No. 16039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090140, WRMC No. 16034; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1073592 data points
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  • 25
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    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-05-30
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 837193 data points
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  • 26
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    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-05-30
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 837987 data points
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  • 27
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    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Publication Date: 2024-05-30
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090229, WRMC No. 16035; Pyranometer, Kipp & Zonen, CMP21, SN 100363, WRMC No. 16036; Pyranometer, Kipp & Zonen, CMP22, SN 090099, WRMC No. 16037; Pyrgeometer, Kipp & Zonen, CGR4, SN 090133, WRMC No. 16038; Pyrgeometer, Kipp & Zonen, CGR4, SN 090166, WRMC No. 16039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090140, WRMC No. 16034; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1073576 data points
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  • 28
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    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-05-30
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 758761 data points
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  • 29
    Publication Date: 2024-05-29
    Type: info:eu-repo/semantics/article
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  • 30
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    In:  Supplement to: Bouimetarhan, Ilham; Prange, Matthias; Schefuß, Enno; Dupont, Lydie M; Lippold, Jörg; Mulitza, Stefan; Zonneveld, Karin A F (2012): Sahel megadrought during Heinrich Stadial 1: evidence for a three-phase evolution of the low- and mid-level West African wind system. Quaternary Science Reviews, 58, 66-76, https://doi.org/10.1016/j.quascirev.2012.10.015
    Publication Date: 2024-05-27
    Description: Millennial-scale dry events in the Northern Hemisphere monsoon regions during the last Glacial period are commonly attributed to southward shifts of the Intertropical Convergence Zone (ITCZ) associated with an intensification of the northeasterly (NE) trade wind system during intervals of reduced Atlantic meridional overturning circulation (AMOC). Through the use of high-resolution last deglaciation pollen records from the continental slope off Senegal, our data show that one of the longest and most extreme droughts in the western Sahel history, which occurred during the North Atlantic Heinrich Stadial 1 (HS1), displayed a succession of three major phases. These phases progressed from an interval of maximum pollen representation of Saharan elements between ~19 and 17.4 kyr BP indicating the onset of aridity and intensified NE trade winds, followed by a millennial interlude of reduced input of Saharan pollen and increased input of Sahelian pollen, to a final phase between ~16.2 and 15 kyr BP that was characterized by a second maximum of Saharan pollen abundances. This change in the pollen assemblage indicates a mid-HS1 interlude of NE trade wind relaxation, occurring between two distinct trade wind maxima, along with an intensified mid-tropospheric African Easterly Jet (AEJ) indicating a substantial change in West African atmospheric processes. The pollen data thus suggest that although the NE trades have weakened, the Sahel drought remained severe during this time interval. Therefore, a simple strengthening of trade winds and a southward shift of the West African monsoon trough alone cannot fully explain millennial-scale Sahel droughts during periods of AMOC weakening. Instead, we suggest that an intensification of the AEJ is needed to explain the persistence of the drought during HS1. Simulations with the Community Climate System Model indicate that an intensified AEJ during periods of reduced AMOC affected the North African climate by enhancing moisture divergence over the West African realm, thereby extending the Sahel drought for about 4000 years.
    Keywords: 293; Center for Marine Environmental Sciences; GeoB9508-5; Gravity corer (Kiel type); M65/1; MARUM; Meteor (1986); SL
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 31
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    PANGAEA
    In:  Supplement to: Daniau, Anne-Laure; Bartlein, Patrick J; Harrison, S P; Prentice, Iain Colin; Brewer, Simon; Friedlingstein, Pierre; Harrison-Prentice, T I; Inoue, J; Izumi, K; Marlon, Jennifer R; Mooney, Scott D; Power, Mitchell J; Stevenson, J; Tinner, Willy; Andric, M; Atanassova, J; Behling, Hermann; Black, M; Blarquez, O; Brown, K J; Carcaillet, C; Colhoun, Eric A; Colombaroli, Daniele; Davis, Basil A S; D'Costa, D; Dodson, John; Dupont, Lydie M; Eshetu, Z; Gavin, D G; Genries, A; Haberle, Simon G; Hallett, D J; Hope, Geoffrey; Horn, S P; Kassa, T G; Katamura, F; Kennedy, L M; Kershaw, A Peter; Krivonogov, S; Long, C; Magri, Donatella; Marinova, E; McKenzie, G Merna; Moreno, P I; Moss, Patrick T; Neumann, F H; Norstrom, E; Paitre, C; Rius, D; Roberts, Neil; Robinson, G S; Sasaki, N; Scott, Louis; Takahara, H; Terwilliger, V; Thevenon, Florian; Turner, R; Valsecchi, V G; Vannière, Boris; Walsh, M; Williams, N; Zhang, Yancheng (2012): Predictability of biomass burning in response to climate changes. Global Biogeochemical Cycles, 26(4), https://doi.org/10.1029/2011GB004249
    Publication Date: 2024-05-27
    Description: We analyze sedimentary charcoal records to show that the changes in fire regime over the past 21,000 yrs are predictable from changes in regional climates. Analyses of paleo- fire data show that fire increases monotonically with changes in temperature and peaks at intermediate moisture levels, and that temperature is quantitatively the most important driver of changes in biomass burning over the past 21,000 yrs. Given that a similar relationship between climate drivers and fire emerges from analyses of the interannual variability in biomass burning shown by remote-sensing observations of month-by-month burnt area between 1996 and 2008, our results signal a serious cause for concern in the face of continuing global warming.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 32
    Publication Date: 2024-05-27
    Keywords: 293; Acacia; AGE; Alchornea; Amaranthaceae; Annonaceae; Artemisia; Asteroideae; Balanites; Borreria; Boscia-type; Butyrospermum; Caryophyllaceae; Cassia-type; Celtis; Center for Marine Environmental Sciences; Clematis; Combretaceae; Counting, palynology; Cuviera; Cyperaceae; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Ephedra distachya-type; Ephedra fragilis-type; Euphorbia-type; Fraxinus; Galium; GeoB9508-5; Gramineae; Gravity corer (Kiel type); Indigofera; Lamnea; M65/1; MARUM; Meteor (1986); Mimosa-type; Mitracarpus; Olea; Phoenix-type; Piliostigma; Pinus; Pollen, total; Psydrax-type subcordatum; Pterocarpus-type; Rhamnaceae; Rhizophora; Rubiaceae; Sedimentation rate; SL; Stereospermum-type; Tamarindus-type indica; Typha; Uapaca; Vernonia-type; Ziziphus
    Type: Dataset
    Format: text/tab-separated-values, 1776 data points
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  • 33
    Publication Date: 2024-05-27
    Keywords: 293; Acacia; AGE; Algae; Amaranthaceae/Chenopodiaceae; Artemisia; Asteroideae; Balanites; Borreria; Boscia-type; Calculated, see reference(s); Caryophyllaceae; Celtis; Center for Marine Environmental Sciences; Clematis; Counting, palynology; Cuticles; Cyperaceae; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Ephedra distachya-type; Ephedra fragilis-type; Euphorbia-type; Fraxinus; Galium; GeoB9508-5; Gramineae; Gravity corer (Kiel type); Lycopodium; M65/1; MARUM; Mass; Meteor (1986); Mimosa-type; Mitracarpus; Olea; Pinus; Pollen, total; Pollen and spores; Psydrax-type subcordata; Rhamnaceae; Rhizophora; Rubiaceae; Sedimentation rate; SL; Spores; Sporomorphes, total; Typha; Uapaca; Vernonia-type; Volume; Ziziphus
    Type: Dataset
    Format: text/tab-separated-values, 1352 data points
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  • 34
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    PANGAEA
    Publication Date: 2024-05-27
    Keywords: 175-1078C; Age model; Age model calibration; Benguela Current, South Atlantic Ocean; Center for Marine Environmental Sciences; Charcoal; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Joides Resolution; Leg175; MARUM; Sample code/label
    Type: Dataset
    Format: text/tab-separated-values, 213 data points
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  • 35
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    PANGAEA
    In:  Supplement to: Li, Wei; Gao, Kunshan; Beardall, John (2012): Interactive Effects of Ocean Acidification and Nitrogen-Limitation on the Diatom Phaeodactylum tricornutum. PLoS ONE, 7(12), e51590, https://doi.org/10.1371/journal.pone.0051590
    Publication Date: 2024-05-27
    Description: Climate change is expected to bring about alterations in the marine physical and chemical environment that will induce changes in the concentration of dissolved CO2 and in nutrient availability. These in turn are expected to affect the physiological performance of phytoplankton. In order to learn how phytoplankton respond to the predicted scenario of increased CO2 and decreased nitrogen in the surface mixed layer, we investigated the diatom Phaeodactylum tricornutum as a model organism. The cells were cultured in both low CO2 (390 µatm) and high CO2 (1000 µatm) conditions at limiting (10 µmol/L) or enriched (110 µmol/L) nitrate concentrations. Our study shows that nitrogen limitation resulted in significant decreases in cell size, pigmentation, growth rate and effective quantum yield of Phaeodactylum tricornutum, but these parameters were not affected by enhanced dissolved CO2 and lowered pH. However, increased CO2 concentration induced higher rETRmax and higher dark respiration rates and decreased the CO2 or dissolved inorganic carbon (DIC) affinity for electron transfer (shown by higher values for K1/2 DIC or K1/2 CO2). Furthermore, the elemental stoichiometry (carbon to nitrogen ratio) was raised under high CO2 conditions in both nitrogen limited and nitrogen replete conditions, with the ratio in the high CO2 and low nitrate grown cells being higher by 45% compared to that in the low CO2 and nitrate replete grown ones. Our results suggest that while nitrogen limitation had a greater effect than ocean acidification, the combined effects of both factors could act synergistically to affect marine diatoms and related biogeochemical cycles in future oceans.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Bicarbonate ion; Bicarbonate ion, standard deviation; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, reciprocal of photosynthetic affinity value; Carbon, inorganic, dissolved, reciprocal of photosynthetic affinity value, standard deviation; Carbon, inorganic, dissolved, standard deviation; Carbon, organic, particulate, per cell; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, reciprocal of photosynthetic affinity value; Carbon dioxide, reciprocal of photosynthetic affinity value, standard deviation; Carbon dioxide, standard deviation; Carotenoids, standard deviation; Carotenoids per cell; Cell biovolume; Cell biovolume, standard deviation; Cell counts, percent of total; Cell counts, standard deviation; Cell size; Cell size, standard deviation; Chlorophyll a, standard deviation; Chlorophyll a per cell; Chlorophyll c, standard deviation; Chlorophyll c per cell; Chromista; Coulometric titration; Effective quantum yield; Effective quantum yield, standard deviation; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Growth rate, standard deviation; Identification; Laboratory experiment; Laboratory strains; Macro-nutrients; Maximal electron transport rate, relative; Maximal electron transport rate, relative, standard deviation; Maximum photochemical quantum yield of photosystem II; Maximum photochemical quantum yield of photosystem II, standard deviation; Nitrogen, organic, particulate, per cell; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Ochrophyta; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Particulate organic carbon content per cell, standard deviation; Particulate organic nitrogen per cell, standard deviation; pH; pH, standard deviation; Phaeodactylum tricornutum; Photochemical efficiency; Photochemical efficiency, standard deviation; Phytoplankton; Potentiometric; Primary production/Photosynthesis; Respiration; Respiration rate, oxygen, per cell; Respiration rate, oxygen, per chlorophyll a; Respiration rate, oxygen, standard deviation; Salinity; Single species; Species; Spectrophotometric; Temperature, water; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 29292 data points
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  • 36
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    PANGAEA
    In:  Supplement to: Müller, Marius N; Beaufort, Luc; Bernard, O; Pedrotti, Maria Luiza; Talec, A; Sciandra, Antoine (2012): Influence of CO2 and nitrogen limitation on the coccolith volume of Emiliania huxleyi (Haptophyta). Biogeosciences, 9(10), 4155-4167, https://doi.org/10.5194/bg-9-4155-2012
    Publication Date: 2024-05-27
    Description: Coccolithophores, a key phytoplankton group, are one of the most studied organisms regarding their physiological response to ocean acidification/carbonation. The biogenic production of calcareous coccoliths has made coccolithophores a promising group for paleoceanographic research aiming to reconstruct past environmental conditions. Recently, geochemical and morphological analyses of fossil coccoliths have gained increased interest in regard to changes in seawater carbonate chemistry. The cosmopolitan coccolithophore Emiliania huxleyi (Lohm.) Hay and Mohler was cultured over a range of pCO2 levels in controlled laboratory experiments under nutrient replete and nitrogen limited conditions. Measurements of photosynthesis and calcification revealed, as previously published, an increase in particulate organic carbon production and a moderate decrease in calcification from ambient to elevated pCO2. The enhancement in particulate organic carbon production was accompanied by an increase in cell diameter. Changes in coccolith volume were best correlated with the coccosphere/cell diameter and no significant correlation was found between the coccolith volume and the particulate inorganic carbon production. The conducted experiments revealed that the coccolith volume of E. huxleyi is variable with aquatic CO2 concentration but its sensitivity is rather small in comparison with its sensitivity to nitrogen limitation. Comparing coccolith morphological and geometrical parameters like volume, mass and size to physiological parameters under controlled laboratory conditions is an important step to understand variations in fossil coccolith geometry.
    Keywords: -; Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Bicarbonate ion; Bicarbonate ion, standard deviation; BIOACID; Biological Impacts of Ocean Acidification; Bottles or small containers/Aquaria (〈20 L); Calcification/Dissolution; Calcite saturation state; Calcite saturation state, standard deviation; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, particulate, production per cell; Carbon, organic, particulate, production per cell; Carbon, organic, particulate/Nitrogen, particulate ratio; Carbon, organic, particulate/Phosphorus, organic, particulate ratio; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, partial pressure; Carbon dioxide, partial pressure, standard deviation; Carbon dioxide, standard deviation; Cell biovolume; Cell density; Cell density, standard deviation; Cell size; Cell size, standard deviation; Chromista; Coccoliths, other, diameter; Code; Description; Emiliania huxleyi; Experiment; Experimental treatment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gene expression (incl. proteomics); Growth/Morphology; Growth rate; Growth rate, standard deviation; Haptophyta; Laboratory experiment; Laboratory strains; Macro-nutrients; Nitrogen, total, particulate/Phosphorus, organic, particulate, ratio; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Particulate inorganic carbon, production, standard deviation; Particulate inorganic carbon/particulate organic carbon ratio; Particulate inorganic carbon/particulate organic carbon ratio, standard deviation; Particulate organic carbon, production, standard deviation; Pelagos; pH; pH, standard deviation; Phosphorus, organic, particulate, production per cell; Phytoplankton; Primary production/Photosynthesis; Salinity; Single species; Species; Standard deviation; Temperature, standard deviation; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 397 data points
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  • 37
    Publication Date: 2024-05-27
    Keywords: 293; AGE; Center for Marine Environmental Sciences; Depth, reference; DEPTH, sediment/rock; GeoB9508-5; Gravity corer (Kiel type); M65/1; MARUM; Meteor (1986); see reference(s); SL; Thorium-230 excess; Thorium-230 excess, standard deviation; Vertical rain rate
    Type: Dataset
    Format: text/tab-separated-values, 77 data points
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  • 38
    Publication Date: 2024-05-27
    Keywords: 175-1078C; Acacia; Adenia; Afzelia; AGE; Alchornea; Alisma plantago-aquatica; Amaranthaceae/Chenopodiaceae; Anemia; Annonaceae; Anthoceros; Anthospermum; Avicennia; Balanites; Basella; Benguela Current, South Atlantic Ocean; Blighia-type; Botryococcus; Brachystegia; Bridelia; Burkea; Buxus-type madagascaria; Canthium spp.; Canthium subcordatum; Caryophyllaceae; Cassia-type; Celastraceae/Hippocrateaceae; Celtis; Cnestis-type; Coccinia; Colophospermum mopane; Combretaceae/Melastomataceae; Corymbium-type; Cotula-type; Counting, palynology; Crudia-type; Cussonia; Cyperaceae; Daisy-type; Daniellia-type; Dialium-type; Diospyros; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Erica (Africa); Erythrina; Euphorbia; Fabaceae; Funtumia; Gazania-type; Geraniaceae; Geranium; Glomus; Hermannia; Hygrophila-type; Hymenocardia; Hypoestes type; Hyptis; Ilex cf.. mitis; Indigofera-type; Ipomoea-type; Isoberlinia-type; Joides Resolution; Justicia/Monechma; Kohautia; Lannea; Leg175; Liguliflorea-type; Liverwort; Maerua-type; Mallotus; Marker, added; Marker, found; Meliaceae; Monolete spore(s); Myrica; Myrsine africana; Nitraria; Ocean Drilling Program; ODP; Olea; Pelargonium; Pentzia-type; Pericopsis; Pheoceros; Phyllanthus; Poaceae; Podocarpus; Pollen, total; Pollen indeterminata; Polygonum senegalense-type; Protea; Pteris; Pyrite; Rhizophora; Rhus-type; Rothmannia; Sample code/label; Sapotaceae; Securinega; Sedimentation rate; Sherbournea; Spermacoce; Spindel; Spores, trilete; Stipularia africana; Stoebe-type; Tarchonanthus/Artemisia-type; Tephrosia; Tetrorchidium; Thymelaeaceae; Tribulus; Tubuliflorae-type; Typha spp.; Uapaca; Urticaceae; Varia; Vernonia-type; Zanthoxylum
    Type: Dataset
    Format: text/tab-separated-values, 12995 data points
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  • 39
    Publication Date: 2024-05-27
    Keywords: 293; AGE; Calculated; Center for Marine Environmental Sciences; GeoB9508-5; Gravity corer (Kiel type); M65/1; MARUM; Meteor (1986); SL; Thorium-230 excess; Thorium-230 excess, standard deviation; Vertical rain rate
    Type: Dataset
    Format: text/tab-separated-values, 72 data points
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  • 40
    Publication Date: 2024-05-27
    Keywords: 293; Accumulation rate, algae, freshwater; AGE; Algae, freshwater; Center for Marine Environmental Sciences; Counting, palynology; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; GeoB9508-5; Gravity corer (Kiel type); M65/1; MARUM; Meteor (1986); Pollen, flux; Pollen, total; SL
    Type: Dataset
    Format: text/tab-separated-values, 259 data points
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  • 41
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    PANGAEA
    In:  Supplement to: Rokitta, Sebastian D; Rost, Björn (2012): Effects of CO2 and their modulation by light in the life-cycle stages of the coccolithophore Emiliania huxleyi. Limnology and Oceanography, 57(2), 607-618, https://doi.org/10.4319/lo.2012.57.2.0607
    Publication Date: 2024-05-27
    Description: The effects of ocean acidification on the life-cycle stages of the coccolithophore Emiliania huxleyi and their by light were examined. Calcifying diploid and noncalcifying haploid cells (Roscoff culture collection 1216 and 1217) were acclimated to present-day and elevated CO2 partial pressures (PCO2; 38.5 vs. 101.3 Pa, ., 380 vs. 1000 matm) under low and high light (50 vs. 300 mmol photons m-2 s-1). Growth rates as well as quotas and production rates of C and N were measured. Sources of inorganic C for biomass buildup were using a 14C disequilibrium assay. Photosynthetic O2 evolution was measured as a function of dissolved inorganic C and light by means of membrane-inlet mass spectrometry. The diploid stage responded to elevated PCO2 by shunting resources from the production of particulate inorganic C toward organic C yet keeping the production of total particulate C constant. As the effect of ocean acidification was stronger under low light, the diploid stage might be less affected by increased acidity when energy availability is high. The haploid stage maintained elemental composition and production rates under elevated PCO2. Although both life-cycle stages involve different ways of dealing with elevated PCO2, the responses were generally modulated by energy availability, being typically most pronounced under low light. Additionally, PCO2 responses resembled those induced by high irradiances, indicating that ocean acidification affects the interplay between energy-generating processes (photosynthetic light reactions) and processes competing for energy (biomass buildup and calcification). A conceptual model is put forward explaining why the magnitude of single responses is determined by energy availability.
    Keywords: Alkalinity, Gran titration (Gran, 1950); Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Auto-analyzer, Technicon Traacs 800; Bicarbonate ion; Bicarbonate ion, standard deviation; Bicarbonate uptake/net fixation ratio; Bicarbonate uptake/net fixation ratio, standard deviation; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Calcification/Dissolution; Calcite saturation state; Calcite saturation state, standard deviation; Calculated; Calculated, see reference(s); Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbon, inorganic, particulate, per cell; Carbon, inorganic, particulate, production per cell; Carbon, organic, particulate, per cell; Carbon, organic, particulate, production per cell; Carbon, organic, particulate/Nitrogen, organic, particulate ratio; Carbon, organic, particulate/Nitrogen, organic, particulate ratio, standard deviation; Carbon, total, particulate, production per cell; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, partial pressure; Carbon dioxide, partial pressure, standard deviation; Chlorophyll a, standard deviation; Chlorophyll a/particulate organic carbon ratio; Chlorophyll a/particulate organic carbon ratio, standard deviation; Chlorophyll a per cell; Chromista; Emiliania huxleyi; EPOCA; Estimated; EUR-OCEANS; European network of excellence for Ocean Ecosystems Analysis; European Project on Ocean Acidification; Experimental treatment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Growth rate, standard deviation; Haptophyta; Laboratory experiment; Laboratory strains; Light; Light:Dark cycle; Mass spectrometer SL 20-20 (SerCon); Nitrate; Nitrogen, organic, particulate, per cell; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Particulate inorganic carbon, production, standard deviation; Particulate inorganic carbon/particulate organic carbon ratio; Particulate inorganic carbon/particulate organic carbon ratio, standard deviation; Particulate inorganic carbon per cell, standard deviation; Particulate organic carbon, production, standard deviation; Particulate organic carbon content per cell, standard deviation; Particulate organic nitrogen per cell, standard deviation; Particulate organic nitrogen production, standard deviation; Pelagos; pH; pH, standard deviation; pH meter, WTW, pH 3000; Phosphate; Phytoplankton; Pigments, Turner fluorometer; Primary production/Photosynthesis; Production of particulate organic nitrogen; Radiation, photosynthetically active; Salinity; Single species; Species; Temperature, water; Total particulate carbon production, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 536 data points
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  • 42
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    PANGAEA
    In:  Supplement to: Langer, Gerald; Oetjen, Kerstin; Brenneis, Tina (2012): Calcification of Calcidiscus leptoporus under nitrogen and phosphorus limitation. Journal of Experimental Marine Biology and Ecology, 413, 131-137, https://doi.org/10.1016/j.jembe.2011.11.028
    Publication Date: 2024-05-27
    Description: The coccolithophore Calcidiscus leptoporus was grown in batch culture under nitrogen (N) as well as phosphorus (P) limitation. Growth rate, particulate inorganic carbon (PIC), particulate organic carbon (POC), particulate organic nitrogen (PON), and particulate organic phosphorus (POP) production were determined and coccolith morphology was analysed. While PON production decreased by 70% under N-limitation and POP production decreased by 65% under P-limitation, growth rate decreased by 33% under N- as well as P-limitation. POC as well as PIC production (calcification rate) increased by 27% relative to the control under P-limitation, and did not change under N-limitation. Coccolith morphology did not change in response to either P or N limitation. While these findings, supported by a literature survey, suggest that coccolith morphogenesis is not hampered by either P or N limitation, calcification rate might be. The latter conclusion is in apparent contradiction to our data. We discuss the reasons for this inference.
    Keywords: AA; Alkalinity, Gran titration (Gran, 1950); Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Autoanalyzer; Bicarbonate ion; BIOACID; Biological Impacts of Ocean Acidification; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Calcidiscus leptoporus; Calcidiscus leptoporus, standard deviation; Calcification/Dissolution; Calcification rate, standard deviation; Calcification rate of carbon per cell; Calcite saturation state; Calculated, see reference(s); Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbon, inorganic, particulate, per cell; Carbon, organic, particulate, per cell; Carbon, organic, particulate, production per cell; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chromista; Element analyser CNS, EURO EA; EPOCA; EUR-OCEANS; European network of excellence for Ocean Ecosystems Analysis; European Project on Ocean Acidification; Experimental treatment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Growth rate, standard deviation; Haptophyta; Laboratory experiment; Laboratory strains; Light:Dark cycle; Macro-nutrients; Measured; Mediterranean Sea Acidification in a Changing Climate; MedSeA; Nitrate; Nitrate, standard deviation; Nitrogen, organic, particulate, per cell; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Particulate inorganic carbon per cell, standard deviation; Particulate organic carbon, production, standard deviation; Particulate organic carbon content per cell, standard deviation; Particulate organic nitrogen per cell, standard deviation; Particulate organic nitrogen production, standard deviation; Particulate organic phosphorus per cell; Particulate organic phosphorus per cell, standard deviation; Particulate organic phosphorus production; Pelagos; pH; pH, standard deviation; pH meter, WTW, 340i; Phosphate; Phosphate, standard deviation; Phosphorus, organic, particulate, production per cell; Phytoplankton; Primary production/Photosynthesis; Production of particulate organic nitrogen; Radiation, photosynthetically active; Salinity; Sample ID; Seal QuAAtro SFA Analyzer, Seal Analytical, 800 TM; Single species; South Atlantic; Species; Temperature, water; Tetra Con 325 salinity and temperature probe
    Type: Dataset
    Format: text/tab-separated-values, 238 data points
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  • 43
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    PANGAEA
    Publication Date: 2024-05-27
    Keywords: Age model; Age model calibration; Angola Basin; Center for Marine Environmental Sciences; Charcoal; DEPTH, sediment/rock; GeoB1023-5; Gravity corer (Kiel type); M6/6; MARUM; Meteor (1986); SL
    Type: Dataset
    Format: text/tab-separated-values, 222 data points
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  • 44
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    PANGAEA
    In:  Supplement to: Lohbeck, Kai T; Riebesell, Ulf; Reusch, Thorsten B H (2012): Adaptive evolution of a key phytoplankton species to ocean acidification. Nature Geoscience, 5(5), 346-351, https://doi.org/10.1038/ngeo1441
    Publication Date: 2024-05-27
    Description: Ocean acidification, the drop in seawater pH associated with the ongoing enrichment of marine waters with carbon dioxide from fossil fuel burning, may seriously impair marine calcifying organisms. Our present understanding of the sensitivity of marine life to ocean acidification is based primarily on short-term experiments, in which organisms are exposed to increased concentrations of CO2. However, phytoplankton species with short generation times, in particular, may be able to respond to environmental alterations through adaptive evolution. Here, we examine the ability of the world's single most important calcifying organism, the coccolithophore Emiliania huxleyi, to evolve in response to ocean acidification in two 500-generation selection experiments. Specifically, we exposed E. huxleyi populations founded by single or multiple clones to increased concentrations of CO2. Around 500 asexual generations later we assessed their fitness. Compared with populations kept at ambient CO2 partial pressure, those selected at increased partial pressure exhibited higher growth rates, in both the single- and multiclone experiment, when tested under ocean acidification conditions. Calcification was partly restored: rates were lower under increased CO2 conditions in all cultures, but were up to 50% higher in adapted compared with non-adapted cultures. We suggest that contemporary evolution could help to maintain the functionality of microbial processes at the base of marine food webs in the face of global change.
    Keywords: Alkalinity, total; Aragonite saturation state; Bicarbonate ion; BIOACID; Biological Impacts of Ocean Acidification; Bottles or small containers/Aquaria (〈20 L); Calcification/Dissolution; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, particulate, per cell; Carbon, inorganic, particulate, production per cell; Carbon, organic, particulate, per cell; Carbon, organic, particulate, production per cell; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Cell size; Chromista; Emiliania huxleyi; Experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Haptophyta; Laboratory experiment; Laboratory strains; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Particulate inorganic carbon/particulate organic carbon ratio; Pelagos; pH; Phosphate; Phytoplankton; Salinity; Single species; Species; Temperature, water; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 3150 data points
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  • 45
    Publication Date: 2024-05-24
    Description: It is essential to predict the impact of elevated PCO2 on marine organisms and habitats to anticipate the severity and consequences of future ocean chemistry change. Despite the importance of carry-over effects in the evolutionary history of marine organisms, few studies have considered links between life-history stages when determining how marine organisms will respond to elevated PCO2, and none have considered the link between adults and their offspring. Herein, we exposed adults of wild and selectively bred Sydney rock oysters, Saccostrea glomerata to elevated PCO2 during reproductive conditioning and measured the development, growth and survival response of their larvae. We found that elevated PCO2 had a negative impact on larvae of S. glomerata causing a reduction in growth, rate of development and survival. Exposing adults to elevated PCO2 during reproductive conditioning, however, had positive carry-over effects on larvae. Larvae spawned from adults exposed to elevated PCO2 were larger and developed faster, but displayed similar survival compared with larvae spawned from adults exposed to ambient PCO2. Furthermore, selectively bred larvae of S. glomerata were more resilient to elevated PCO2 than wild larvae. Measurement of the standard metabolic rate (SMR) of adult S. glomerata showed that at ambient PCO2, SMR is increased in selectively bred compared with wild oysters and is further increased during exposure to elevated PCO2. This study suggests that sensitive marine organisms may have the capacity to acclimate or adapt to elevated PCO2 over the next century and a change in energy turnover indicated by SMR may be a key process involved.
    Keywords: Alkalinity, total; Alkalinity, total, standard error; Animalia; Aragonite saturation state; Benthic animals; Benthos; Bicarbonate ion; Brackish waters; Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Containers and aquaria (20-1000 L or 〈 1 m**2); Day of experiment; Development; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Laboratory experiment; Larvae; Metabolic rate of oxygen, per dry mass, standard; Mollusca; Mortality/Survival; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; pH, standard error; Potentiometric; Potentiometric titration; Registration number of species; Replicate; Respiration; Saccostrea glomerata; Salinity; Salinity, standard error; Shell length; Single species; South Pacific; Species; Survival; Temperate; Temperature, water; Temperature, water, standard error; Treatment; Type; Uniform resource locator/link to reference; Zooplankton
    Type: Dataset
    Format: text/tab-separated-values, 14399 data points
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  • 46
    Publication Date: 2024-05-24
    Keywords: AGE; Calculated, see reference(s); COMPCORE; Composite Core; Counting, palynology; ELGYGYTGYN; Elgygytgyn crater lake, Sibiria, Russia; ICDP_Elgygytgyn-Drilling-Project; ICDP5011-1; Lake Elgygytgyn - Climate History of the Arctic since 3.6 Million Years; Picea; Precipitation, annual mean; Precipitation, annual mean, maximum; Precipitation, annual mean, minimum; Sampling on land; sum trees and shrubs; Temperature, warmest month; Temperature, warmest month, maximum; Temperature, warmest month, minimum
    Type: Dataset
    Format: text/tab-separated-values, 728 data points
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  • 47
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    PANGAEA
    In:  Supplement to: Melles, Martin; Brigham-Grette, Julie; Minyuk, Pavel S; Nowaczyk, Norbert R; Wennrich, Volker; DeConto, Robert M; Anderson, Patricia A; Andreev, Andrei A; Coletti, Anthony; Cook, Timothy L; Haltia-Hovi, Eeva; Kukkonen, Maaret; Lozhkin, Anatoly V; Rosén, Peter; Tarasov, Pavel E; Vogel, Hendrik; Wagner, Bernd (2012): 2.8 Million years of Arctic climate change from Lake El'gygytgyn, NE Russia. Science, 337(6092), 315-320, https://doi.org/10.1126/science.1222135
    Publication Date: 2024-05-24
    Description: The reliability of Arctic climate predictions is currently hampered by insufficient knowledge of natural climate variability in the past. A sediment core from Lake El'gygytgyn (NE Russia) provides a continuous high-resolution record from the Arctic spaning the past 2.8 Ma. The core reveals numerous "super interglacials" during the Quaternary, with maximum summer temperatures and annual precipitation during marine benthic isotope stages (MIS) 11c and 31 ~4-5 °C and ~300 mm higher than those of MIS 1 and 5e. Climate simulations show these extreme warm conditions are difficult to explain with greenhouse gas and astronomical forcing alone, implying the importance of amplifying feedbacks and far field influences. The timing of Arctic warming relative to West Antarctic Ice Sheet retreats implies strong interhemispheric climate connectivity.
    Keywords: COMPCORE; Composite Core; ELGYGYTGYN; Elgygytgyn crater lake, Sibiria, Russia; ICDP_Elgygytgyn-Drilling-Project; ICDP5011-1; Lake Elgygytgyn - Climate History of the Arctic since 3.6 Million Years; Sampling on land
    Type: Dataset
    Format: application/zip, 13 datasets
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  • 48
    Publication Date: 2024-05-23
    Repository Name: EPIC Alfred Wegener Institut
    Type: Other , notRev
    Format: application/pdf
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  • 49
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    PANGAEA
    In:  IFM-GEOMAR Leibniz-Institute of Marine Sciences, Kiel University
    Publication Date: 2024-05-22
    Keywords: Bottle number; Climate - Biogeochemistry Interactions in the Tropical Ocean; CTD; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Event label; Latitude of event; Longitude of event; Maria S. Merian; MSM08/1; MSM08/1_167; MSM08/1_168; MSM08/1_CTD-RO1; MSM08/1_CTD-RO12; MSM08/1_CTD-RO15; MSM08/1_CTD-RO16; MSM08/1_CTD-RO19; MSM08/1_CTD-RO22; MSM08/1_CTD-RO24; MSM08/1_CTD-RO27; MSM08/1_CTD-RO28; MSM08/1_CTD-RO29; MSM08/1_CTD-RO3; MSM08/1_CTD-RO30; MSM08/1_CTD-RO31; MSM08/1_CTD-RO32; MSM08/1_CTD-RO33; MSM08/1_CTD-RO35; MSM08/1_CTD-RO36; MSM08/1_CTD-RO37; MSM08/1_CTD-RO38; MSM08/1_CTD-RO39; MSM08/1_CTD-RO40; MSM08/1_CTD-RO41; MSM08/1_CTD-RO42; MSM08/1_CTD-RO43; MSM08/1_CTD-RO44; MSM08/1_CTD-RO45; MSM08/1_CTD-RO46; MSM08/1_CTD-RO47; MSM08/1_CTD-RO5; MSM08/1_CTD-RO6; MSM08/1_CTD-RO7; MSM08/1_CTD-RO9; Nitrate; Nitrite; Oxygen; Phosphate; Pressure, water; Salinity; Sample code/label; SFB754; Silicate; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 4784 data points
    Location Call Number Expected Availability
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  • 50
    facet.materialart.
    Unknown
    PANGAEA
    In:  IFM-GEOMAR Leibniz-Institute of Marine Sciences, Kiel University
    Publication Date: 2024-05-22
    Keywords: Ammonium; Archael_amoA distribution; Bacterial nitrogen fixation, Chrocosphaera; Bacterial nitrogen fixation, Cyanothese; Bacterial nitrogen fixation, filamentous; Bacterial nitrogen fixation, GammaAO; Bacterial nitrogen fixation, total; Bacterial nitrogen fixation, UCYN-A; Bottle number; Climate - Biogeochemistry Interactions in the Tropical Ocean; CTD; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Event label; Fluorescence-based quantitative real-time PCR (qPCR); Freon-12 (dichlorodifluoromethane); Latitude of event; Longitude of event; Maria S. Merian; MSM10/1; MSM10/1-CTD1; MSM10/1-CTD10; MSM10/1-CTD100; MSM10/1-CTD101; MSM10/1-CTD102; MSM10/1-CTD103; MSM10/1-CTD104; MSM10/1-CTD105; MSM10/1-CTD106; MSM10/1-CTD107; MSM10/1-CTD108; MSM10/1-CTD109; MSM10/1-CTD11; MSM10/1-CTD110; MSM10/1-CTD111; MSM10/1-CTD112; MSM10/1-CTD113; MSM10/1-CTD114; MSM10/1-CTD115; MSM10/1-CTD116; MSM10/1-CTD117; MSM10/1-CTD118; MSM10/1-CTD119; MSM10/1-CTD12; MSM10/1-CTD120; MSM10/1-CTD121; MSM10/1-CTD122; MSM10/1-CTD123; MSM10/1-CTD124; MSM10/1-CTD125; MSM10/1-CTD126; MSM10/1-CTD127; MSM10/1-CTD128; MSM10/1-CTD129; MSM10/1-CTD13; MSM10/1-CTD130; MSM10/1-CTD131; MSM10/1-CTD132; MSM10/1-CTD133; MSM10/1-CTD134; MSM10/1-CTD135; MSM10/1-CTD136; MSM10/1-CTD137; MSM10/1-CTD138; MSM10/1-CTD139; MSM10/1-CTD14; MSM10/1-CTD140; MSM10/1-CTD141; MSM10/1-CTD142; MSM10/1-CTD143; MSM10/1-CTD144; MSM10/1-CTD145; MSM10/1-CTD146; MSM10/1-CTD147; MSM10/1-CTD148; MSM10/1-CTD149; MSM10/1-CTD15; MSM10/1-CTD150; MSM10/1-CTD151; MSM10/1-CTD152; MSM10/1-CTD153; MSM10/1-CTD154; MSM10/1-CTD155; MSM10/1-CTD156; MSM10/1-CTD157; MSM10/1-CTD158; MSM10/1-CTD159; MSM10/1-CTD16; MSM10/1-CTD160; MSM10/1-CTD161; MSM10/1-CTD162; MSM10/1-CTD163; MSM10/1-CTD164; MSM10/1-CTD165; MSM10/1-CTD166; MSM10/1-CTD167; MSM10/1-CTD168; MSM10/1-CTD169; MSM10/1-CTD17; MSM10/1-CTD170; MSM10/1-CTD171; MSM10/1-CTD172; MSM10/1-CTD173; MSM10/1-CTD174; MSM10/1-CTD175; MSM10/1-CTD176; MSM10/1-CTD177; MSM10/1-CTD179; MSM10/1-CTD18; MSM10/1-CTD180; MSM10/1-CTD181; MSM10/1-CTD182; MSM10/1-CTD183; MSM10/1-CTD184; MSM10/1-CTD185; MSM10/1-CTD186; MSM10/1-CTD187; MSM10/1-CTD188; MSM10/1-CTD189; MSM10/1-CTD19; MSM10/1-CTD190; MSM10/1-CTD191; MSM10/1-CTD192; MSM10/1-CTD193; MSM10/1-CTD194; MSM10/1-CTD195; MSM10/1-CTD196; MSM10/1-CTD197; MSM10/1-CTD198; MSM10/1-CTD199; MSM10/1-CTD2; MSM10/1-CTD20; MSM10/1-CTD200; MSM10/1-CTD201; MSM10/1-CTD202; MSM10/1-CTD203; MSM10/1-CTD204; MSM10/1-CTD205; MSM10/1-CTD206; MSM10/1-CTD207; MSM10/1-CTD208; MSM10/1-CTD209; MSM10/1-CTD21; MSM10/1-CTD210; MSM10/1-CTD211; MSM10/1-CTD212; MSM10/1-CTD213; MSM10/1-CTD214; MSM10/1-CTD215; MSM10/1-CTD216; MSM10/1-CTD217; MSM10/1-CTD218; MSM10/1-CTD219; MSM10/1-CTD22; MSM10/1-CTD220; MSM10/1-CTD221; MSM10/1-CTD222; MSM10/1-CTD223; MSM10/1-CTD224; MSM10/1-CTD225; MSM10/1-CTD226; MSM10/1-CTD227; MSM10/1-CTD228; MSM10/1-CTD229; MSM10/1-CTD23; MSM10/1-CTD24; MSM10/1-CTD25; MSM10/1-CTD26; MSM10/1-CTD27; MSM10/1-CTD28; MSM10/1-CTD29; MSM10/1-CTD3; MSM10/1-CTD30; MSM10/1-CTD31; MSM10/1-CTD32; MSM10/1-CTD33; MSM10/1-CTD34; MSM10/1-CTD35; MSM10/1-CTD36; MSM10/1-CTD37; MSM10/1-CTD38; MSM10/1-CTD39; MSM10/1-CTD4; MSM10/1-CTD40; MSM10/1-CTD41; MSM10/1-CTD42; MSM10/1-CTD43; MSM10/1-CTD44; MSM10/1-CTD45; MSM10/1-CTD46; MSM10/1-CTD47; MSM10/1-CTD48; MSM10/1-CTD49; MSM10/1-CTD5; MSM10/1-CTD50; MSM10/1-CTD51; MSM10/1-CTD52; MSM10/1-CTD53; MSM10/1-CTD54; MSM10/1-CTD55; MSM10/1-CTD56; MSM10/1-CTD57; MSM10/1-CTD58; MSM10/1-CTD59; MSM10/1-CTD6; MSM10/1-CTD60; MSM10/1-CTD61; MSM10/1-CTD62; MSM10/1-CTD63; MSM10/1-CTD64; MSM10/1-CTD65; MSM10/1-CTD66; MSM10/1-CTD67; MSM10/1-CTD68; MSM10/1-CTD69; MSM10/1-CTD7; MSM10/1-CTD70; MSM10/1-CTD71; MSM10/1-CTD72; MSM10/1-CTD73; MSM10/1-CTD74; MSM10/1-CTD75; MSM10/1-CTD76; MSM10/1-CTD77; MSM10/1-CTD78; MSM10/1-CTD79; MSM10/1-CTD8; MSM10/1-CTD80; MSM10/1-CTD81; MSM10/1-CTD82; MSM10/1-CTD83; MSM10/1-CTD84; MSM10/1-CTD85; MSM10/1-CTD86; MSM10/1-CTD87; MSM10/1-CTD88; MSM10/1-CTD89; MSM10/1-CTD9; MSM10/1-CTD90; MSM10/1-CTD91; MSM10/1-CTD92; MSM10/1-CTD93; MSM10/1-CTD94; MSM10/1-CTD95; MSM10/1-CTD96; MSM10/1-CTD97; MSM10/1-CTD98; MSM10/1-CTD99; Nitrate; Nitrite; Oxygen; Phosphate; Pressure, water; Salinity; Sample code/label; SFB754; Silicate; Sulfur hexafluoride, SF6; Temperature, water; Trifluoromethyl sulfur pentafluoride
    Type: Dataset
    Format: text/tab-separated-values, 36613 data points
    Location Call Number Expected Availability
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