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Research data keyboard_double_arrow_right Dataset 2022 EnglishPANGAEA EC | PETA-CARBEC| PETA-CARBAuthors: Jongejans, Loeka Laura; Liebner, Susanne; Knoblauch, Christian; Mangelsdorf, Kai; +1 AuthorsJongejans, Loeka Laura; Liebner, Susanne; Knoblauch, Christian; Mangelsdorf, Kai; Strauss, Jens;This dataset describes two 17 m long sediment cores taken from beneath two thermokarst lakes in the Yukechi Alas, Central Yakutia, Russia. The first core was taken from below an Alas thermokarst lake (YU-L7; 61.76397°N, 130.46442°E) and the second core below and Yedoma lake (YU-L15; 61.76086°N, 130.47466°E). The dataset presents biogeochemical and biomarker parameters of sediment cores YU-L7 and YU-L15. Biogeochemical analyses include total carbon (TC) content, total organic carbon (TOC) content, total nitrogen (TN) content. Biomarker parameters include the n-alkane concentration, average chain length (ACL), carbon preference index (CPI), brGDGT concentration, archaeol concentration and the isoGDGT-0 concentration. The n-alkanes were measured in the aliphatic fraction by gas chromatography-mass spectromety using a Trace GC Ultra coupled to a DSQ MS. The branched and isoprenoid glycerol dialkyl glycerol tetraethers, as well as the dialkyl glycerol diether lipid (archaeol) were measured in the NSO fraction using a Shimadzu LC-10AD high-performance liquid chromatograph coupled to a Finnigan TSQ 7000 mass spectrometer via an atmospheric pressure chemical ionization interface. The pH soil is the sediment pH which was assessed by adding 6.12 mL of 0.01 M CaCl~2~ to ~2.5 g dried sediment and measuring with a Multilab 540 (WTW) at 20°C.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022 EnglishPANGAEA Authors: Rasmussen, Sune Olander; Svensson, Anders M; Vinther, Bo Møllesøe;Rasmussen, Sune Olander; Svensson, Anders M; Vinther, Bo Møllesøe;Greenland Ice-Core Chronology 2005 (GICC05) annual layer depths for various Greenland ice cores. This is the high-resolution version (full, annual resolution) data file. Previously, 10- and 20-year resolution data files containing the time scale and resampled d18O data have been released for different time intervals together with the papers mentioned below. Ages are reported as years before A.D. 2000 / 2000 CE, abbreviated b2k.The file contains the location of the annual markers in the GICC05 time scale for each core's depth sections where data was available and sufficiently resolved to allow annual dating. Details are given in the papers listed below. The markers are placed in the winter and spring depending on the availability of data (e.g. using the winter d18O minimum, winter Sodium concentration maximum, spring dust/Calcium concentration maximum, or visual stratigraphy grey-scale peaks in the deepest parts). Across data gaps, markers are placed by interpolation or using other impurity species with different seasonality (e.g. using summer Ammonium or Nitrate peaks). Therefore, the criteria for where the annual markers are places vary between sections, and care should be taken when interpreting data on annual scale. The dating of the 0-7.9 ka b2k part is described in the paper Vinther et al., 2006The dating of the 7.9-14.7 ka b2k part is described in the paper Rasmussen et al., 2006The dating of the 14.7-41.8 ka b2k part is described in the paper Andersen et al., 2006The dating of the 41.8-60.0 ka b2k part is described in the paper Svensson et al., 2008When counting layers, uncertainty is introduced when an annual layer is backed up by evidence only in some of the data series, or when a certain well-resolved feature is suspected to contain more than one annual layer. The cases of ambiguity in the annual layer identification process have been marked using so-called uncertain layer markings. These uncertain layer markings were included in the time scale as ½ ± ½ years, with the ± ½ years forming the basis for quantifying the so-called maximum counting error. The concept of maximum counting error is further discussed in Rasmussen et al. (2006). In a standard deviation context, the maximum counting error can be regarded as 2 sigma as discussed in Andersen et al. (2006).In the Holocene, GS-1, and GI-2, the published time scale was derived from annual layer markings by manually determining which half of the uncertain layer markings to count as years, and which to skip. The maximum counting error was estimated from the number of uncertain layer markings as a constant relative uncertainty for each period with similar data availability and characteristics: 21-3,845 a b2k (0.25%), 3,846-6,905 a b2k (0.5%), 6,906-10,276 a b2k (2%), 10,277-11,703 a b2k (0.67%), 11,703-12,896 a b2k (3,3%), 12,896-14,075 a b2k (2.6%), 14,075-14,692 a b2k (2.7%) (see table 2 in Vinther et al, 2006, and table 3 in Rasmussen et al., 2006). From GS-2 and below (Andersen et al., 2006; Svensson et al., 2008) every 2nd uncertain layer was counted as a year and the maximum counting uncertainty increased by one year (giving rise to a variable relative counting error ranging from 4% in the warm interstadial periods to 7% in the cold stadials, and averaging 5.3%). In data set "Greenland NGRIP2 Ice-Core annual layer markings"(https://doi.pangaea.de/10.1594/PANGAEA.943194), the depths of the annual layer markings (including the uncertain ones) are provided with indication of which of these were counted as annual layers. This data set is only available below 10.2 ka. Above this, the locations of the discarded half of the uncertain layer markings have only been recorded on paper.The NGRIP1 core reaches down to a depth of 1372 m. The NGRIP2 core (drilled 20 meters away from the NGRIP1 core) reaches from surface to bedrock, but high-resolution measurements have only been carried out downwards from 1346 m. In the 26 m overlap zone, the cores are offset by 0.43 m on average, probably due to uncertainties in the logging procedure (see Schøtt Hvidberg et al., Ann. Glac. 35, 2002). Thus, the same features appear at larger depths in the NGRIP1 than in the NGRIP2 core. We recommend that NGRIP1 depths are used until 9820 b2k, and NGRIP2 depths are used below this.Note that the GICC05 time scale has later been revised. The first section of the new time scale, named GICC21, is described in the paper "A multi-ice-core, annual-layer-counted Greenland ice-core chronology for the last 3800 years: GICC21", Climate of the Past volume 18, p. 1125-1150, 2022, https://doi.org/10.5194/cp-18-1125-2022. Updated GICC21 annual-layer positions are released in the supplement to the paper. Annual markers forming the GICC05 time scale for NGRIP1, NGRIP2, GRIP, and DYE-3 where data was available and sufficiently resolved to allow annual dating. The markers are placed in the winter and spring depending on the availability of data (e.g. using the winter d18O minimum, winter Sodium concentration maximum, spring dust/Calcium concentration maximum, or visual stratigraphy grey-scale peaks in the deepest parts). Across data gaps, markers are placed by interpolation or using other impurity species with different seasonality (e.g. using summer Ammonium or Nitrate peaks). Therefore, the criteria for where the annual markers are places vary between sections, and care should be taken when interpreting data on annual scale. Ages are reported as years before A.D. 2000 / 2000 CE, abbreviated b2k. Depths (in meter) are true depths below the undisturbed surface the year when drilling started.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022 EnglishPANGAEA Authors: Rasmussen, Sune Olander; Svensson, Anders M; Vinther, Bo Møllesøe;Rasmussen, Sune Olander; Svensson, Anders M; Vinther, Bo Møllesøe;Greenland Ice-Core Chronology 2005 (GICC05) annual layer depths for various Greenland ice cores. This is the high-resolution version (full, annual resolution) data file. Previously, 10- and 20-year resolution data files containing the time scale and resampled d18O data have been released for different time intervals together with the papers mentioned below. Ages are reported as years before A.D. 2000 / 2000 CE, abbreviated b2k.The file contains the location of the annual markers in the GICC05 time scale for each core's depth sections where data was available and sufficiently resolved to allow annual dating. Details are given in the papers listed below. The markers are placed in the winter and spring depending on the availability of data (e.g. using the winter d18O minimum, winter Sodium concentration maximum, spring dust/Calcium concentration maximum, or visual stratigraphy grey-scale peaks in the deepest parts). Across data gaps, markers are placed by interpolation or using other impurity species with different seasonality (e.g. using summer Ammonium or Nitrate peaks). Therefore, the criteria for where the annual markers are places vary between sections, and care should be taken when interpreting data on annual scale. The dating of the 0-7.9 ka b2k part is described in the paper Vinther et al., 2006The dating of the 7.9-14.7 ka b2k part is described in the paper Rasmussen et al., 2006The dating of the 14.7-41.8 ka b2k part is described in the paper Andersen et al., 2006The dating of the 41.8-60.0 ka b2k part is described in the paper Svensson et al., 2008When counting layers, uncertainty is introduced when an annual layer is backed up by evidence only in some of the data series, or when a certain well-resolved feature is suspected to contain more than one annual layer. The cases of ambiguity in the annual layer identification process have been marked using so-called uncertain layer markings. These uncertain layer markings were included in the time scale as ½ ± ½ years, with the ± ½ years forming the basis for quantifying the so-called maximum counting error. The concept of maximum counting error is further discussed in Rasmussen et al. (2006). In a standard deviation context, the maximum counting error can be regarded as 2 sigma as discussed in Andersen et al. (2006).In the Holocene, GS-1, and GI-2, the published time scale was derived from annual layer markings by manually determining which half of the uncertain layer markings to count as years, and which to skip. The maximum counting error was estimated from the number of uncertain layer markings as a constant relative uncertainty for each period with similar data availability and characteristics: 21-3,845 a b2k (0.25%), 3,846-6,905 a b2k (0.5%), 6,906-10,276 a b2k (2%), 10,277-11,703 a b2k (0.67%), 11,703-12,896 a b2k (3,3%), 12,896-14,075 a b2k (2.6%), 14,075-14,692 a b2k (2.7%) (see table 2 in Vinther et al, 2006, and table 3 in Rasmussen et al., 2006). From GS-2 and below (Andersen et al., 2006; Svensson et al., 2008) every 2nd uncertain layer was counted as a year and the maximum counting uncertainty increased by one year (giving rise to a variable relative counting error ranging from 4% in the warm interstadial periods to 7% in the cold stadials, and averaging 5.3%). In data set "Greenland NGRIP2 Ice-Core annual layer markings"(https://doi.pangaea.de/10.1594/PANGAEA.943194), the depths of the annual layer markings (including the uncertain ones) are provided with indication of which of these were counted as annual layers. This data set is only available below 10.2 ka. Above this, the locations of the discarded half of the uncertain layer markings have only been recorded on paper.The NGRIP1 core reaches down to a depth of 1372 m. The NGRIP2 core (drilled 20 meters away from the NGRIP1 core) reaches from surface to bedrock, but high-resolution measurements have only been carried out downwards from 1346 m. In the 26 m overlap zone, the cores are offset by 0.43 m on average, probably due to uncertainties in the logging procedure (see Schøtt Hvidberg et al., Ann. Glac. 35, 2002). Thus, the same features appear at larger depths in the NGRIP1 than in the NGRIP2 core. We recommend that NGRIP1 depths are used until 9820 b2k, and NGRIP2 depths are used below this.Note that the GICC05 time scale has later been revised. The first section of the new time scale, named GICC21, is described in the paper "A multi-ice-core, annual-layer-counted Greenland ice-core chronology for the last 3800 years: GICC21", Climate of the Past volume 18, p. 1125-1150, 2022, https://doi.org/10.5194/cp-18-1125-2022. Updated GICC21 annual-layer positions are released in the supplement to the paper. Annual markers forming the GICC05 time scale for NGRIP1, NGRIP2, GRIP, and DYE-3 where data was available and sufficiently resolved to allow annual dating. The markers are placed in the winter and spring depending on the availability of data (e.g. using the winter d18O minimum, winter Sodium concentration maximum, spring dust/Calcium concentration maximum, or visual stratigraphy grey-scale peaks in the deepest parts). Across data gaps, markers are placed by interpolation or using other impurity species with different seasonality (e.g. using summer Ammonium or Nitrate peaks). Therefore, the criteria for where the annual markers are places vary between sections, and care should be taken when interpreting data on annual scale. Ages are reported as years before A.D. 2000 / 2000 CE, abbreviated b2k. Depths (in meter) are true depths below the undisturbed surface the year when drilling started.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021 EnglishPANGAEA Weiß, Anja; Sommer, Ilka; Chen, Wei; Liu, Tao; Guo, Fan; Liu, Wenting;DE: Der Datensatz enthält 19 Beobachtungen von Ärzten und Ärztinnen, die eine_n Simulationspatienten/in (SP) behandeln, der bzw. die Herzinsuffizenz simuliert, ein weit verbreitetes kardiologisches Syndrom. Die Arzt-Patient-Interaktionen fanden 2019 am Peking Union Medical College-Hospital (PUMCH) in Peking (VR China) statt. Die teilnehmenden Ärzte und Ärztinnen waren in Bezug auf Berufserfahrung, Spezialisierungsgrad, Fachsprache, Alter, Geschlecht und Migrationserfahrung divers. Diese Merkmale liegen als Fragebogendaten vor. Die Studie verwendete zwei Skripte für die SPs: Ein Fall von systolischer Herzinsuffizienz – für die eine Standardbehandlung verfügbar ist – wurde von 60-jährigen männlichen SPs dargestellt; ein Fall von diastolischer Herzinsuffizienz – für die die Behandlungsrichtlinien weniger klar sind – wurde von 80-jährigen weiblichen SPs gespielt. Der Kern des Datensatzes besteht aus Videos, Transkriptionen in Englisch und Mandarin sowie Teilübersetzungen ins Englische für Fälle in den Sprachen Mandarin. Einige Sequenzen wurden in ELAN übertragen. Der Datensatz ermöglicht die Untersuchung von beruflichem Wissen und Praxis in einer interkulturellen und transnational vergleichenden Perspektive. Die Daten sind für die angewandte Forschung in der Medizindidaktik und für die wissenssoziologische Grundlagenforschung und Gesprächsanalyse relevant. Medizinsoziologie, Wissenschaftsforschung, Social Studies of Science and Medicine, Professionssoziologie und Migrationsforschung sind Teildisziplinen, die von einer Weiterverwendung der Daten profitieren könnten.EN: The data set contains 19 observations of physicians during a first encounter with a patient actor simulating a prevalent cardiac disease, heart failure. The doctor-patient-interaction took place 2019 at Beijing Union Medical College-Hospital (PUMCH) in Beijing (PRChina). Participating physicians were diverse in terms of professional experience, degree of specialization, professional language, age, gender and migration experience. These characteristics are available as questionnaire data. The study employed two scrips for simulated patients: a case of systolic heart failure – for which a standard treatment is available – was enacted by 60-year-old male SPs; a case of diastolic heart failure – for which treatment guidelines are less clear – was enacted by 80-year-old female SPs. The core of the data set consists of videos, transcripts in English and Mandarin as well as partial translations to English for the Mandarin language cases. Some sequences were transferred to ELAN. The data set enables the study of professional knowledge and practise in an intercultural and transnationally comparative perspective. It is relevant for applied research in medical education and for foundational research in the sociology of knowledge and conversation analysis. The sociology of medicine, social studies of science and medicine, sociology of professions, and migration research are sub-disciplines that might profit from reusing the data. Transcription method: Standardorthographie, Partiturschreibweise, teilweise GAT-2Study-Materials note: Context materials include questionnaires, scripts for the simulation patients, case vignettes (lab reports and ECGs), schedule for the doctor-patient-encounters, MAXQDA-project, background information on the research design, background information on the Medical Education at PUMCH, informed consent form
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021 EnglishPANGAEA EC | PETA-CARBEC| PETA-CARBAuthors: Jongejans, Loeka Laura; Liebner, Susanne; Knoblauch, Christian; Mangelsdorf, Kai; +1 AuthorsJongejans, Loeka Laura; Liebner, Susanne; Knoblauch, Christian; Mangelsdorf, Kai; Strauss, Jens;This dataset describes two 17 m long sediment cores taken from beneath two thermokarst lakes in the Yukechi Alas, Central Yakutia, Russia. The first core was taken from below an Alas thermokarst lake (YU-L7; 61.76397°N, 130.46442°E) and the second core below and Yedoma lake (YU-L15; 61.76086°N, 130.47466°E). The dataset presents the dissolved organic carbon (DOC) content from sediment cores YU-L7 and YU-L15. The DOC was measured as non-purgeable organic carbon fraction and is expressed in mg/L.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021 EnglishPANGAEA Authors: Domsel, Maike Maria;Domsel, Maike Maria;DE: Sammlung von kürzeren und collagenartigen Texten, die unterschiedliche thematische Bereiche und verschiedene Phasen bzw. besondere Wendepunkte die spirituelle Identität der Autorin betreffend berühren. Hierzu gehören diverse Gedichte (Anzahl 15), erzählende Gedichte (3), retrospektive Tagebucheinträge (5), rückblickende Tagebucheinträge zur Schulerfahrung (2), fiktive Briefe (3), ein Gebet und eine Erzählung sowie Gedanken (1), ein Bericht über die Entstehung der Fotos (1) sowie leitfadengestützte Interviews mit entsprechenden Transkriptionen (2). Des Weiteren sind in einem Tonstudio vier Lieder von der Autorin gesanglich interpretiert worden: 1. Johann Strauss (1825-1899): "Ich lade gern mir Gäste ein" aus der Federmaus (Sprache: deutsch; Begleitung: Klavier) 2. Christoph Willibald Gluck (1714-1787): "Che farὸ senza Euridice?" aus Orfeo ed Euridice (Sprache: italienisch; Begleitung: Streichquartett und Cembalo) 3. Georg Friedrich Händel (1685-1759): Rezitativ und Doppelarie, im Alt "He shall feed his flock" und im Sopran "Come unto Him" (Sprache: englisch; Begleitung: Klavier) 4. Richard Wagner (1813-1883): "Schmerzen" aus dem Wesendonck-Zyklus (Sprache: deutsch; Begleitung: Streichquartett und Cembalo).EN: Collection of shorter and collage-like texts that touch on different thematic areas and different phases or particular turning points concerning the author's spiritual identity. These include various poems (number 15), narrative poems (3), retrospective diary entries (5), retrospective diary entries on the school experience (2), fictional letters (3), a prayer and a narrative as well as thoughts (1), a report on the creation of photographs (1) as well as guided interviews with corresponding transcriptions (2). Furthermore, four songs were interpreted vocally by the author in a recording studio: 1. Johann Strauss (1825-1899): "Ich lade gern mir Gäste ein" from Federmaus (language: German; accompaniment: piano) 2. Christoph Willibald Gluck (1714-1787): "Che farὸ senza Euridice?" from Orfeo ed Euridice (language: Italian; accompaniment: string quartet and harpsichord) 3. George Friederich Händel (1685-1759): recitative and double aria, in alto "He shall feed his flock" and in soprano "Come unto Him" (language: English; accompaniment: piano) 4. Richard Wagner (1813-1883): "Schmerzen" from the Wesendonck cycle (language: German; accompaniment: string quartet and harpsichord). Transcription method: Standardorthographie, geglättetStudy-Materials note: verfügbare Kontexmaterialien sind Interviewleitfäden, Lebenslauf, Fotos, LiedblätterDE: Die autoethnographischen Materialien können auf Anfrage beim Forschungsdatenzentrum Qualiservice erhalten werden. Für weitere Informationen besuchen Sie bitte die Qualiservice-Website: https://www.qualiservice.org/de/daten-nutzen.html
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021 EnglishPANGAEA Weiß, Anja; Sommer, Ilka; Merse, Stefanie; Weingartz, Sarah; Wietasch, Götz; Maass, Alexander; Assa, Solmaz;DE: Der Datensatz enthält 18 Beobachtungen von Ärzten und Ärztinnen, die eine_n Simulationspatienten/in (SP) behandeln, der bzw. die Herzinsuffizenz simuliert, ein weit verbreitetes kardiologisches Syndrom. Die Arzt-Patient-Interaktionen fanden 2020 am University Medical Center Groningen (UMCG) in Groningen (Niederlande) statt. Die teilnehmenden Ärzte und Ärztinnen waren in Bezug auf Berufserfahrung, Spezialisierungsgrad, Fachsprache, Alter, Geschlecht und Migrationserfahrung divers. Diese Merkmale liegen als Fragebogendaten vor. Die Studie verwendete zwei Skripte für die SPs: Ein Fall von systolischer Herzinsuffizienz – für die eine Standardbehandlung verfügbar ist – wurde von 60-jährigen männlichen SPs dargestellt; ein Fall von diastolischer Herzinsuffizienz – für die die Behandlungsrichtlinien weniger klar sind – wurde von 80-jährigen weiblichen SPs gespielt. Der Kern des Datensatzes besteht aus Videos und Transkriptionen in Englisch. Der Datensatz ermöglicht die Untersuchung von beruflichem Wissen und Praxis in einer interkulturellen und transnational vergleichenden Perspektive. Die Daten sind für die angewandte Forschung in der Medizindidaktik und für die wissenssoziologische Grundlagenforschung und Gesprächsanalyse relevant. Medizinsoziologie, Wissenschaftsforschung, Social Studies of Science and Medicine, Professionssoziologie und Migrationsforschung sind Teildisziplinen, die von einer Weiterverwendung der Daten profitieren könnten.EN: The data set contains 18 observations of physicians during a first encounter with a patient actor simulating a prevalent cardiac disease, heart failure. The doctor-patient-interaction took place 2020 at the University Medical Center Groningen (UMCG) in Groningen (Netherlands). Participating physicians were diverse in terms of professional experience, degree of specialization, professional language, age, gender and migration experience. These characteristics are available as questionnaire data. The study employed two scrips for simulated patients: a case of systolic heart failure – for which a standard treatment is available – was enacted by 60-year-old male SPs; a case of diastolic heart failure – for which treatment guidelines are less clear – was enacted by 80-year-old female SPs. The core of the data set consists of videos and transcripts in English. The data set enables the study of professional knowledge and practise in an intercultural and transnationally comparative perspective. It is relevant for applied research in medical education and for foundational research in the sociology of knowledge and conversation analysis. The sociology of medicine, social studies of science and medicine, sociology of professions, and migration research are sub-disciplines that might profit from reusing the data. Transcription method: Standardorthographie, Partiturschreibweise, teilweise GAT-2Study-Materials note: Context materials include questionnaires, scripts for the simulation patients, case vignettes (lab reports and ECGs), schedule for the doctor-patient-encounters, MAXQDA-project, background information on the research design, informed consent form
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021 EnglishPANGAEA EC | PETA-CARBEC| PETA-CARBAuthors: Jongejans, Loeka Laura; Liebner, Susanne; Knoblauch, Christian; Mangelsdorf, Kai; +1 AuthorsJongejans, Loeka Laura; Liebner, Susanne; Knoblauch, Christian; Mangelsdorf, Kai; Strauss, Jens;This dataset describes two 17 m long sediment cores taken from beneath two thermokarst lakes in the Yukechi Alas, Central Yakutia, Russia. The first core was taken from below an Alas thermokarst lake (YU-L7; 61.76397°N, 130.46442°E) and the second core below and Yedoma lake (YU-L15; 61.76086°N, 130.47466°E). The dataset presents biogeochemical and biomarker parameters of sediment cores YU-L7 and YU-L15. Biogeochemical analyses include total carbon (TC) content, total organic carbon (TOC) content, total nitrogen (TN) content. Biomarker parameters include the n-alkane concentration, average chain length (ACL), carbon preference index (CPI), brGDGT concentration, archaeol concentration and the isoGDGT-0 concentration. The n-alkanes were measured in the aliphatic fraction by gas chromatography-mass spectromety using a Trace GC Ultra coupled to a DSQ MS. The branched and isoprenoid glycerol dialkyl glycerol tetraethers, as well as the dialkyl glycerol diether lipid (archaeol) were measured in the NSO fraction using a Shimadzu LC-10AD high-performance liquid chromatograph coupled to a Finnigan TSQ 7000 mass spectrometer via an atmospheric pressure chemical ionization interface. The pH soil is the sediment pH which was assessed by adding 6.12 mL of 0.01 M CaCl~2~ to ~2.5 g dried sediment and measuring with a Multilab 540 (WTW) at 20°C.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021 EnglishPANGAEA Sommer, Ilka; Weingartz, Sarah; Elçin, Melih; Tuncel, Bilge; Weiß, Anja;DE: Der Datensatz enthält 18 Beobachtungen von Ärzten und Ärztinnen, die eine_n Simulationspatienten/in (SP) behandeln, der bzw. die Herzinsuffizenz simuliert, ein weit verbreitetes kardiologisches Syndrom. Die Arzt-Patient-Interaktionen fanden 2019 an der medizinischen Fakultät der Hacettepe Universität in Ankara (Türkei) statt. Die teilnehmenden Ärzte und Ärztinnen waren in Bezug auf Berufserfahrung, Spezialisierungsgrad, Fachsprache, Alter, Geschlecht und Migrationserfahrung divers. Diese Merkmale liegen als Fragebogendaten vor. Die Studie verwendete zwei Skripte für die SPs: Ein Fall von systolischer Herzinsuffizienz – für die eine Standardbehandlung verfügbar ist – wurde von 60-jährigen männlichen SPs dargestellt; ein Fall von diastolischer Herzinsuffizienz – für die die Behandlungsrichtlinien weniger klar sind – wurde von 80-jährigen weiblichen SPs gespielt. Der Kern des Datensatzes besteht aus Videos, Transkriptionen in Englisch und Türkisch sowie Teilübersetzungen ins Englische für Fälle in Türkisch. Einige Sequenzen wurden in ELAN übertragen. Der Datensatz ermöglicht die Untersuchung von beruflichem Wissen und Praxis in einer interkulturellen und transnational vergleichenden Perspektive. Die Daten sind für die angewandte Forschung in der Medizindidaktik und für die wissenssoziologische Grundlagenforschung und Gesprächsanalyse relevant. Medizinsoziologie, Wissenschaftsforschung, Social Studies of Science and Medicine, Professionssoziologie und Migrationsforschung sind Teildisziplinen, die von einer Weiterverwendung der Daten profitieren könnten.EN: The data set contains 18 observations of physicians during a first encounter with a patient actor simulating a prevalent cardiac disease, heart failure. The doctor-patient-interaction took place 2019 at the medical faculty of Hacettepe University in Ankara (Turkey). Participating physicians were diverse in terms of professional experience, degree of specialization, professional language, age, gender and migration experience. These characteristics are available as questionnaire data. The study employed two scrips for simulated patients: a case of systolic heart failure – for which a standard treatment is available – was enacted by 60-year-old male SPs; a case of diastolic heart failure – for which treatment guidelines are less clear – was enacted by 80-year-old female SPs. The core of the data set consists of videos, transcripts in English and Turkish as well as partial translations to English for the Turkish language cases. Some sequences were transferred to ELAN. The data set enables the study of professional knowledge and practise in an intercultural and transnationally comparative perspective. It is relevant for applied research in medical education and for foundational research in the sociology of knowledge and conversation analysis. The sociology of medicine, social studies of science and medicine, sociology of professions, and migration research are sub-disciplines that might profit from reusing the data. Transcription method: Standardorthographie, Partiturschreibweise, teilweise GAT-2Study-Materials note: Context materials include questionnaires, scripts for the simulation patients, case vignettes (lab reports and ECGs), schedule for the doctor-patient-encounters, MAXQDA-project, background information on the research design, informed consent form
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021 EnglishPANGAEA EC | PETA-CARBEC| PETA-CARBAuthors: Jongejans, Loeka Laura; Liebner, Susanne; Knoblauch, Christian; Mangelsdorf, Kai; +1 AuthorsJongejans, Loeka Laura; Liebner, Susanne; Knoblauch, Christian; Mangelsdorf, Kai; Strauss, Jens;This dataset describs two 17 m long sediment cores taken from beneath two thermokarst lakes in the Yukechi Alas, Central Yakutia, Russia. The first core was taken from below an Alas thermokarst lake (YU-L7; 61.76397°N, 130.46442°E) and the second core below and Yedoma lake (YU-L15; 61.76086°N, 130.47466°E). The dataset presents the branched glyerol diakyl glyerol tetraether (brGDGT) concentrations from sediment cores YUL7 and YU-L15 which are given in µg/g sediment. The branched glycerol dialkyl glycerol tetraethers were measured in the NSO fraction using a Shimadzu LC-10AD high-performance liquid chromatograph coupled to a Finnigan TSQ 7000 mass spectrometer via an atmospheric pressure chemical ionization interface.
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Research data keyboard_double_arrow_right Dataset 2022 EnglishPANGAEA EC | PETA-CARBEC| PETA-CARBAuthors: Jongejans, Loeka Laura; Liebner, Susanne; Knoblauch, Christian; Mangelsdorf, Kai; +1 AuthorsJongejans, Loeka Laura; Liebner, Susanne; Knoblauch, Christian; Mangelsdorf, Kai; Strauss, Jens;This dataset describes two 17 m long sediment cores taken from beneath two thermokarst lakes in the Yukechi Alas, Central Yakutia, Russia. The first core was taken from below an Alas thermokarst lake (YU-L7; 61.76397°N, 130.46442°E) and the second core below and Yedoma lake (YU-L15; 61.76086°N, 130.47466°E). The dataset presents biogeochemical and biomarker parameters of sediment cores YU-L7 and YU-L15. Biogeochemical analyses include total carbon (TC) content, total organic carbon (TOC) content, total nitrogen (TN) content. Biomarker parameters include the n-alkane concentration, average chain length (ACL), carbon preference index (CPI), brGDGT concentration, archaeol concentration and the isoGDGT-0 concentration. The n-alkanes were measured in the aliphatic fraction by gas chromatography-mass spectromety using a Trace GC Ultra coupled to a DSQ MS. The branched and isoprenoid glycerol dialkyl glycerol tetraethers, as well as the dialkyl glycerol diether lipid (archaeol) were measured in the NSO fraction using a Shimadzu LC-10AD high-performance liquid chromatograph coupled to a Finnigan TSQ 7000 mass spectrometer via an atmospheric pressure chemical ionization interface. The pH soil is the sediment pH which was assessed by adding 6.12 mL of 0.01 M CaCl~2~ to ~2.5 g dried sediment and measuring with a Multilab 540 (WTW) at 20°C.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022 EnglishPANGAEA Authors: Rasmussen, Sune Olander; Svensson, Anders M; Vinther, Bo Møllesøe;Rasmussen, Sune Olander; Svensson, Anders M; Vinther, Bo Møllesøe;Greenland Ice-Core Chronology 2005 (GICC05) annual layer depths for various Greenland ice cores. This is the high-resolution version (full, annual resolution) data file. Previously, 10- and 20-year resolution data files containing the time scale and resampled d18O data have been released for different time intervals together with the papers mentioned below. Ages are reported as years before A.D. 2000 / 2000 CE, abbreviated b2k.The file contains the location of the annual markers in the GICC05 time scale for each core's depth sections where data was available and sufficiently resolved to allow annual dating. Details are given in the papers listed below. The markers are placed in the winter and spring depending on the availability of data (e.g. using the winter d18O minimum, winter Sodium concentration maximum, spring dust/Calcium concentration maximum, or visual stratigraphy grey-scale peaks in the deepest parts). Across data gaps, markers are placed by interpolation or using other impurity species with different seasonality (e.g. using summer Ammonium or Nitrate peaks). Therefore, the criteria for where the annual markers are places vary between sections, and care should be taken when interpreting data on annual scale. The dating of the 0-7.9 ka b2k part is described in the paper Vinther et al., 2006The dating of the 7.9-14.7 ka b2k part is described in the paper Rasmussen et al., 2006The dating of the 14.7-41.8 ka b2k part is described in the paper Andersen et al., 2006The dating of the 41.8-60.0 ka b2k part is described in the paper Svensson et al., 2008When counting layers, uncertainty is introduced when an annual layer is backed up by evidence only in some of the data series, or when a certain well-resolved feature is suspected to contain more than one annual layer. The cases of ambiguity in the annual layer identification process have been marked using so-called uncertain layer markings. These uncertain layer markings were included in the time scale as ½ ± ½ years, with the ± ½ years forming the basis for quantifying the so-called maximum counting error. The concept of maximum counting error is further discussed in Rasmussen et al. (2006). In a standard deviation context, the maximum counting error can be regarded as 2 sigma as discussed in Andersen et al. (2006).In the Holocene, GS-1, and GI-2, the published time scale was derived from annual layer markings by manually determining which half of the uncertain layer markings to count as years, and which to skip. The maximum counting error was estimated from the number of uncertain layer markings as a constant relative uncertainty for each period with similar data availability and characteristics: 21-3,845 a b2k (0.25%), 3,846-6,905 a b2k (0.5%), 6,906-10,276 a b2k (2%), 10,277-11,703 a b2k (0.67%), 11,703-12,896 a b2k (3,3%), 12,896-14,075 a b2k (2.6%), 14,075-14,692 a b2k (2.7%) (see table 2 in Vinther et al, 2006, and table 3 in Rasmussen et al., 2006). From GS-2 and below (Andersen et al., 2006; Svensson et al., 2008) every 2nd uncertain layer was counted as a year and the maximum counting uncertainty increased by one year (giving rise to a variable relative counting error ranging from 4% in the warm interstadial periods to 7% in the cold stadials, and averaging 5.3%). In data set "Greenland NGRIP2 Ice-Core annual layer markings"(https://doi.pangaea.de/10.1594/PANGAEA.943194), the depths of the annual layer markings (including the uncertain ones) are provided with indication of which of these were counted as annual layers. This data set is only available below 10.2 ka. Above this, the locations of the discarded half of the uncertain layer markings have only been recorded on paper.The NGRIP1 core reaches down to a depth of 1372 m. The NGRIP2 core (drilled 20 meters away from the NGRIP1 core) reaches from surface to bedrock, but high-resolution measurements have only been carried out downwards from 1346 m. In the 26 m overlap zone, the cores are offset by 0.43 m on average, probably due to uncertainties in the logging procedure (see Schøtt Hvidberg et al., Ann. Glac. 35, 2002). Thus, the same features appear at larger depths in the NGRIP1 than in the NGRIP2 core. We recommend that NGRIP1 depths are used until 9820 b2k, and NGRIP2 depths are used below this.Note that the GICC05 time scale has later been revised. The first section of the new time scale, named GICC21, is described in the paper "A multi-ice-core, annual-layer-counted Greenland ice-core chronology for the last 3800 years: GICC21", Climate of the Past volume 18, p. 1125-1150, 2022, https://doi.org/10.5194/cp-18-1125-2022. Updated GICC21 annual-layer positions are released in the supplement to the paper. Annual markers forming the GICC05 time scale for NGRIP1, NGRIP2, GRIP, and DYE-3 where data was available and sufficiently resolved to allow annual dating. The markers are placed in the winter and spring depending on the availability of data (e.g. using the winter d18O minimum, winter Sodium concentration maximum, spring dust/Calcium concentration maximum, or visual stratigraphy grey-scale peaks in the deepest parts). Across data gaps, markers are placed by interpolation or using other impurity species with different seasonality (e.g. using summer Ammonium or Nitrate peaks). Therefore, the criteria for where the annual markers are places vary between sections, and care should be taken when interpreting data on annual scale. Ages are reported as years before A.D. 2000 / 2000 CE, abbreviated b2k. Depths (in meter) are true depths below the undisturbed surface the year when drilling started.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022 EnglishPANGAEA Authors: Rasmussen, Sune Olander; Svensson, Anders M; Vinther, Bo Møllesøe;Rasmussen, Sune Olander; Svensson, Anders M; Vinther, Bo Møllesøe;Greenland Ice-Core Chronology 2005 (GICC05) annual layer depths for various Greenland ice cores. This is the high-resolution version (full, annual resolution) data file. Previously, 10- and 20-year resolution data files containing the time scale and resampled d18O data have been released for different time intervals together with the papers mentioned below. Ages are reported as years before A.D. 2000 / 2000 CE, abbreviated b2k.The file contains the location of the annual markers in the GICC05 time scale for each core's depth sections where data was available and sufficiently resolved to allow annual dating. Details are given in the papers listed below. The markers are placed in the winter and spring depending on the availability of data (e.g. using the winter d18O minimum, winter Sodium concentration maximum, spring dust/Calcium concentration maximum, or visual stratigraphy grey-scale peaks in the deepest parts). Across data gaps, markers are placed by interpolation or using other impurity species with different seasonality (e.g. using summer Ammonium or Nitrate peaks). Therefore, the criteria for where the annual markers are places vary between sections, and care should be taken when interpreting data on annual scale. The dating of the 0-7.9 ka b2k part is described in the paper Vinther et al., 2006The dating of the 7.9-14.7 ka b2k part is described in the paper Rasmussen et al., 2006The dating of the 14.7-41.8 ka b2k part is described in the paper Andersen et al., 2006The dating of the 41.8-60.0 ka b2k part is described in the paper Svensson et al., 2008When counting layers, uncertainty is introduced when an annual layer is backed up by evidence only in some of the data series, or when a certain well-resolved feature is suspected to contain more than one annual layer. The cases of ambiguity in the annual layer identification process have been marked using so-called uncertain layer markings. These uncertain layer markings were included in the time scale as ½ ± ½ years, with the ± ½ years forming the basis for quantifying the so-called maximum counting error. The concept of maximum counting error is further discussed in Rasmussen et al. (2006). In a standard deviation context, the maximum counting error can be regarded as 2 sigma as discussed in Andersen et al. (2006).In the Holocene, GS-1, and GI-2, the published time scale was derived from annual layer markings by manually determining which half of the uncertain layer markings to count as years, and which to skip. The maximum counting error was estimated from the number of uncertain layer markings as a constant relative uncertainty for each period with similar data availability and characteristics: 21-3,845 a b2k (0.25%), 3,846-6,905 a b2k (0.5%), 6,906-10,276 a b2k (2%), 10,277-11,703 a b2k (0.67%), 11,703-12,896 a b2k (3,3%), 12,896-14,075 a b2k (2.6%), 14,075-14,692 a b2k (2.7%) (see table 2 in Vinther et al, 2006, and table 3 in Rasmussen et al., 2006). From GS-2 and below (Andersen et al., 2006; Svensson et al., 2008) every 2nd uncertain layer was counted as a year and the maximum counting uncertainty increased by one year (giving rise to a variable relative counting error ranging from 4% in the warm interstadial periods to 7% in the cold stadials, and averaging 5.3%). In data set "Greenland NGRIP2 Ice-Core annual layer markings"(https://doi.pangaea.de/10.1594/PANGAEA.943194), the depths of the annual layer markings (including the uncertain ones) are provided with indication of which of these were counted as annual layers. This data set is only available below 10.2 ka. Above this, the locations of the discarded half of the uncertain layer markings have only been recorded on paper.The NGRIP1 core reaches down to a depth of 1372 m. The NGRIP2 core (drilled 20 meters away from the NGRIP1 core) reaches from surface to bedrock, but high-resolution measurements have only been carried out downwards from 1346 m. In the 26 m overlap zone, the cores are offset by 0.43 m on average, probably due to uncertainties in the logging procedure (see Schøtt Hvidberg et al., Ann. Glac. 35, 2002). Thus, the same features appear at larger depths in the NGRIP1 than in the NGRIP2 core. We recommend that NGRIP1 depths are used until 9820 b2k, and NGRIP2 depths are used below this.Note that the GICC05 time scale has later been revised. The first section of the new time scale, named GICC21, is described in the paper "A multi-ice-core, annual-layer-counted Greenland ice-core chronology for the last 3800 years: GICC21", Climate of the Past volume 18, p. 1125-1150, 2022, https://doi.org/10.5194/cp-18-1125-2022. Updated GICC21 annual-layer positions are released in the supplement to the paper. Annual markers forming the GICC05 time scale for NGRIP1, NGRIP2, GRIP, and DYE-3 where data was available and sufficiently resolved to allow annual dating. The markers are placed in the winter and spring depending on the availability of data (e.g. using the winter d18O minimum, winter Sodium concentration maximum, spring dust/Calcium concentration maximum, or visual stratigraphy grey-scale peaks in the deepest parts). Across data gaps, markers are placed by interpolation or using other impurity species with different seasonality (e.g. using summer Ammonium or Nitrate peaks). Therefore, the criteria for where the annual markers are places vary between sections, and care should be taken when interpreting data on annual scale. Ages are reported as years before A.D. 2000 / 2000 CE, abbreviated b2k. Depths (in meter) are true depths below the undisturbed surface the year when drilling started.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021 EnglishPANGAEA Weiß, Anja; Sommer, Ilka; Chen, Wei; Liu, Tao; Guo, Fan; Liu, Wenting;DE: Der Datensatz enthält 19 Beobachtungen von Ärzten und Ärztinnen, die eine_n Simulationspatienten/in (SP) behandeln, der bzw. die Herzinsuffizenz simuliert, ein weit verbreitetes kardiologisches Syndrom. Die Arzt-Patient-Interaktionen fanden 2019 am Peking Union Medical College-Hospital (PUMCH) in Peking (VR China) statt. Die teilnehmenden Ärzte und Ärztinnen waren in Bezug auf Berufserfahrung, Spezialisierungsgrad, Fachsprache, Alter, Geschlecht und Migrationserfahrung divers. Diese Merkmale liegen als Fragebogendaten vor. Die Studie verwendete zwei Skripte für die SPs: Ein Fall von systolischer Herzinsuffizienz – für die eine Standardbehandlung verfügbar ist – wurde von 60-jährigen männlichen SPs dargestellt; ein Fall von diastolischer Herzinsuffizienz – für die die Behandlungsrichtlinien weniger klar sind – wurde von 80-jährigen weiblichen SPs gespielt. Der Kern des Datensatzes besteht aus Videos, Transkriptionen in Englisch und Mandarin sowie Teilübersetzungen ins Englische für Fälle in den Sprachen Mandarin. Einige Sequenzen wurden in ELAN übertragen. Der Datensatz ermöglicht die Untersuchung von beruflichem Wissen und Praxis in einer interkulturellen und transnational vergleichenden Perspektive. Die Daten sind für die angewandte Forschung in der Medizindidaktik und für die wissenssoziologische Grundlagenforschung und Gesprächsanalyse relevant. Medizinsoziologie, Wissenschaftsforschung, Social Studies of Science and Medicine, Professionssoziologie und Migrationsforschung sind Teildisziplinen, die von einer Weiterverwendung der Daten profitieren könnten.EN: The data set contains 19 observations of physicians during a first encounter with a patient actor simulating a prevalent cardiac disease, heart failure. The doctor-patient-interaction took place 2019 at Beijing Union Medical College-Hospital (PUMCH) in Beijing (PRChina). Participating physicians were diverse in terms of professional experience, degree of specialization, professional language, age, gender and migration experience. These characteristics are available as questionnaire data. The study employed two scrips for simulated patients: a case of systolic heart failure – for which a standard treatment is available – was enacted by 60-year-old male SPs; a case of diastolic heart failure – for which treatment guidelines are less clear – was enacted by 80-year-old female SPs. The core of the data set consists of videos, transcripts in English and Mandarin as well as partial translations to English for the Mandarin language cases. Some sequences were transferred to ELAN. The data set enables the study of professional knowledge and practise in an intercultural and transnationally comparative perspective. It is relevant for applied research in medical education and for foundational research in the sociology of knowledge and conversation analysis. The sociology of medicine, social studies of science and medicine, sociology of professions, and migration research are sub-disciplines that might profit from reusing the data. Transcription method: Standardorthographie, Partiturschreibweise, teilweise GAT-2Study-Materials note: Context materials include questionnaires, scripts for the simulation patients, case vignettes (lab reports and ECGs), schedule for the doctor-patient-encounters, MAXQDA-project, background information on the research design, background information on the Medical Education at PUMCH, informed consent form
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021 EnglishPANGAEA EC | PETA-CARBEC| PETA-CARBAuthors: Jongejans, Loeka Laura; Liebner, Susanne; Knoblauch, Christian; Mangelsdorf, Kai; +1 AuthorsJongejans, Loeka Laura; Liebner, Susanne; Knoblauch, Christian; Mangelsdorf, Kai; Strauss, Jens;