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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: van Leeuwe, Maria A; Stefels, Jacqueline; Peeken, Ilka; Murawski, Sandra; +7 Authors

    Algal pigment concentrations were retrieved from ocean samples, during the whole MOSAiC expedition (Multidisciplinary drifting Observatory for the Study of Arctic Climate) in 2019 to 2020. During MOSAiC, RV Polarstern anchored into an ice floe to gain new insights into Arctic climate over a full annual cycle. Ocean data were collected starting with the onset of the study, at 85 degrees north and 137 degrees east, following the drift towards the Fram Strait, and returning to the North Pole in the last leg of the expedition. Ocean samples were collected with a CTD, either from the ship, or from the ice floe in Ocean City (Rabe et al. 2022). Altogether 216 samples have been collected and analysed. After extraction in 90 % acetone, samples were analysed using high-performance liquid chromatography (HPLC) on a Waters system. Algal pigments contain a multiple set of information. Firstly, pigment concentrations can show the presence of algal biomass in the various water masses sampled. Secondly, marker pigments can reveal seasonal and temporal dynamics in algal community structure, by discerning specific algal classes like diatoms, cryptophytes, haptophytes and chlorophytes that have specific roles in biogeochemical cycles. Thirdly, certain pigments are indicative of the (photo)-physiological state of micro-algae and fourth, degradation products of the main chlorophyll a pigment further give an indication about senescence and grazing in the various habitats.

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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    PANGAEA
    Dataset . 2023
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2023
      Data sources: B2FIND
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Freie Universität Berlin;

    The data set contains observations from the MEVIS measuring network (Measurement data acquisition, processing and information system for environmental measurement data, which is commercially distributed by the company Adolf Thies GmbH & Co. KG Göttingen) with a temporal resolution of minutes. The MEVIS measuring network collects meteorological data at locations distributed across the city of Berlin. The construction of the stations is based on the WMO standard (Guide to Instruments and Methods of Observation, Volume I, Measurement of Meteorological Variables, WMO No. 8, http://dx.doi.org/10.25607/OBP-432) and has been maintained by the Institute of Meteorology of the Freie Universität Berlin since 1997. This package contains the data from the year 2005. For each of the 10 stations there is a file with packed data in CSV format and a station description in PDF format. In addition, there is an overall description of the monitoring network in a PDF file. Further information about the MEVIS monitoring network and the data can be found at the MEVIS portal page: https://mevis.klimod.de. Der Datensatz enthält Minutenwerte der Stationen des MEVIS Messnetzes (Messwerterfassungs-, Verarbeitungs- und Informationssystem für Umweltmessdaten, welches kommerziell von der Firma Adolf Thies GmbH & Co. KG Göttingen vertrieben wird). Das MEVIS Messnetz erhebt meteorologische Daten an Standorten, die im Berliner Stadtgebiet verteilt sind. Der Aufbau der Stationen orientiert sich am WMO Standard (Guide to Instruments and Methods of Observation, Volume I, Measurement of Meteorological Variables, WMO No. 8, http://dx.doi.org/10.25607/OBP-432) und wird vom Institut für Meteorologie der Freien Universität Berlin seit 1997 betreut. Im Datenpaket sind die Daten des Jahres 2005 enthalten. Zu jeder der 10 Stationen gibt es eine Datei mit gepackten Daten im CSV Format und eine Stationsbeschreibung im PDF Format. Dazu gibt es eine Gesamtbeschreibung des Messnetzes als PDF Datei. Weiterführende Informationen zum MEVIS Messnetz und den Daten findet man auf der MEVIS Portalseite: https://mevis.klimod.de.

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    Authors: Mulvaney, Robert; Frezzotti, Massimo; Ritz, Catherine; Martín, Carlos; +2 Authors

    This dataset consists of radar IRHs (internal reflecting horizons) which were traced across ice-penetrating radar surveys conducted between 2016 and 2018 over the Dome C region of the East Antarctic Plateau. The dataset is associated with the publication Chung et al. (2023). The data was collected during two radar surveys conducted in the Antarctic field seasons of 2016-17 and 2017-18 using the sledge-borne DEep LOoking Radio Echo Sounder (DELORES) from the British Antarctic Survey (BAS). The surveys covered two areas around Dome C which were identified as potential drill sites for the Beyond EPICA Oldest Ice drilling project - Little Dome C (LDC) and North Patch (NP). The LDC area is covered by a dense network of 116 radar transects, mostly organised as a grid, with denser data acquisition in areas of particular interest. At NP a grid of 21 radar transects were collected, covering an area of approximately 5×5 km^2. In this radar dataset, 20 IRHs and the ice-bed interface were manually traced, using the Petrel E&P Software Platform by Schlumberger. A single file for each IRH is provided in a .txt file, tab separated format with both two-way travel time and depth. The conversion done using c = 0.1685 m/us and firn correction of 10 m. The 20 IRHs are provided at 5 m along-track resolution.

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    PANGAEA
    Dataset . 2023
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2023
      Data sources: B2FIND
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Intensivregister-Team am RKI;

    Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq

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    Authors: Fiege, Nicolai;

    This data set contains the full experimental data we analyzed for the publication "Improving Energy Efficiency in Loop Pipelining by Rational-II Modulo Scheduling" published at International Symposium on Field-Programmable Custom Computing Machines (FCCM) 2022.

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    DaKS
    Dataset . 2022
    Data sources: DaKS
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      DaKS
      Dataset . 2022
      Data sources: DaKS
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    Authors: Tippenhauer, Sandra; Hoppmann, Mario; Havermans, Charlotte;

    Conductivity-temperature-depth profiles were measured using a Seabird SBE 911plus CTD during RV Heincke cruise HE605. The CTD was equipped with duplicate sensors for temperature (SBE3plus), conductivity (SBE4) and oxygen (SBE43). Additional sensors such as a WET Labs C-Star transmissometer, a WET Labs ECO-AFL fluorometer and an altimeter (PSA-916 Teledyne (Benthos)) were mounted to the CTD. Temperature, conductivity and oxygen sensors are calibrated by the manufacturer once a year before being mounted in January. They are used throughout the year and no post-cruise or in-situ calibration is applied. All other sensors are calibrated irregularly.Data were connected to the station book of the specific cruise as available in the DSHIP database. Processing of the data including removal of obvious outliers followed the procedures described in CTD Processing Logbook of RV Heincke (hdl:10013/epic.47427). The processing report for this dataset is linked below. This expedition HE605 "RISING - Role and Range boundaries of gelatinous zooplankton in the rapidly changing Arctic marginal seas" was funded by the Helmholtz Young Investigator project ARJEL - Arctic Jellies (https://www.awi.de/en/science/junior-groups/translate-to-english-arjel.html) and the section Functional Ecology under the AWI, POF IV Research Programme topic 6 and subtopics 6.1 and 6.2. Research carried out under the Research in Svalbard RIS permit number RIS ID 11915 and the Norwegian Licence number 819/2022.

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    PANGAEA
    Dataset . 2023
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2023
      Data sources: B2FIND
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    Bruker Impact II

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    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: ZENODO
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    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: ZENODO
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      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Icking, Eike; Banszerus, Luca; Wörtche, Frederike; Volmer, Frank; +10 Authors

    Dataset for the Publication "Transport spectroscopy of ultraclean tunable band gaps in bilayer graphene" Abstract: "The importance of controlling both the charge carrier density and the band gap of a semiconductor cannot be overstated, as it opens the doors to a wide range of applications, including, e.g., highly-tunable transistors, photodetectors, and lasers. Bernal-stacked bilayer graphene is a unique van-der-Waals material that allows tuning the band gap by an out-of-plane electric field. Although the first evidence of the tunable gap was already found ten years ago, it took until recent to fabricate sufficiently clean heterostructures where the electrically induced gap could be used to fully suppress transport or confine charge carriers. Here, we present a detailed study of the tunable band gap in gated bilayer graphene characterized by temperature-activated transport and finite-bias spectroscopy measurements. The latter method allows comparing different gate materials and device technologies, which directly affects the disorder potential in bilayer graphene. We show that graphite-gated bilayer graphene exhibits extremely low disorder and as good as no subgap states resulting in ultraclean tunable band gaps up to 120 meV. The size of the band gaps are in good agreement with theory and allow complete current suppression making a wide range of semiconductor applications possible."

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    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: ZENODO
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    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2022
      License: CC BY
      Data sources: ZENODO
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      ZENODO
      Dataset . 2022
      License: CC BY
      Data sources: Datacite
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    Traditionally, citizenship has been defined as the legal and political link between individuals and their democratic political community. However, traditional conceptions of democratic citizenship are currently challenged by various developments like migration, the rise of populism, increasing polarization, social fragmentation, and the challenging of representative democracy as well as developments in digital communication technology. Against this background, this peer reviewed book reflects recent conceptions of citizenship by bringing together insights from different disciplines, such as political science, sociology, economics, law, and history.

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    Authors: Gómez-Letona, Markel; Baumann, Moritz; González, Acorayda; Pérez Barrancos, Clàudia; +5 Authors

    This dataset contains the dissolved organic matter (DOM) quantification and optical characterisation results from a KOSMOS mesocosm experiment carried out in the framework of the Ocean Artificial Upwelling project. The experiment was carried out in the autumn of 2018 in the oligotrophic waters of Gran Canaria. During the 39 days of experiment nutrient-rich deep water was added to the mesocosms in two modes (singular vs recurring additions), with four levels of intensity. Dissolved organic carbon, nitrogen and phosphorus were quantified with a Shimadzu TOC-5000 and a QuAAtro AutoAnalyzer. The absorption and fluorescence proprieties of DOM were determined making use of an Ocean Optics USB2000+UV-VIS-ES Spectrometer and a Jobin Yvon Horiba Fluoromax-4 spectrofluorometer, respectively. The aim of this dataset was to study the effect of artificial upwelling on the dissolved organic matter pool and its potential implications for carbon sequestration.

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    PANGAEA
    Dataset . 2022
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2022
      Data sources: B2FIND
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: van Leeuwe, Maria A; Stefels, Jacqueline; Peeken, Ilka; Murawski, Sandra; +7 Authors

    Algal pigment concentrations were retrieved from ocean samples, during the whole MOSAiC expedition (Multidisciplinary drifting Observatory for the Study of Arctic Climate) in 2019 to 2020. During MOSAiC, RV Polarstern anchored into an ice floe to gain new insights into Arctic climate over a full annual cycle. Ocean data were collected starting with the onset of the study, at 85 degrees north and 137 degrees east, following the drift towards the Fram Strait, and returning to the North Pole in the last leg of the expedition. Ocean samples were collected with a CTD, either from the ship, or from the ice floe in Ocean City (Rabe et al. 2022). Altogether 216 samples have been collected and analysed. After extraction in 90 % acetone, samples were analysed using high-performance liquid chromatography (HPLC) on a Waters system. Algal pigments contain a multiple set of information. Firstly, pigment concentrations can show the presence of algal biomass in the various water masses sampled. Secondly, marker pigments can reveal seasonal and temporal dynamics in algal community structure, by discerning specific algal classes like diatoms, cryptophytes, haptophytes and chlorophytes that have specific roles in biogeochemical cycles. Thirdly, certain pigments are indicative of the (photo)-physiological state of micro-algae and fourth, degradation products of the main chlorophyll a pigment further give an indication about senescence and grazing in the various habitats.

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    PANGAEA
    Dataset . 2023
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2023
      Data sources: B2FIND
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    Authors: Freie Universität Berlin;

    The data set contains observations from the MEVIS measuring network (Measurement data acquisition, processing and information system for environmental measurement data, which is commercially distributed by the company Adolf Thies GmbH & Co. KG Göttingen) with a temporal resolution of minutes. The MEVIS measuring network collects meteorological data at locations distributed across the city of Berlin. The construction of the stations is based on the WMO standard (Guide to Instruments and Methods of Observation, Volume I, Measurement of Meteorological Variables, WMO No. 8, http://dx.doi.org/10.25607/OBP-432) and has been maintained by the Institute of Meteorology of the Freie Universität Berlin since 1997. This package contains the data from the year 2005. For each of the 10 stations there is a file with packed data in CSV format and a station description in PDF format. In addition, there is an overall description of the monitoring network in a PDF file. Further information about the MEVIS monitoring network and the data can be found at the MEVIS portal page: https://mevis.klimod.de. Der Datensatz enthält Minutenwerte der Stationen des MEVIS Messnetzes (Messwerterfassungs-, Verarbeitungs- und Informationssystem für Umweltmessdaten, welches kommerziell von der Firma Adolf Thies GmbH & Co. KG Göttingen vertrieben wird). Das MEVIS Messnetz erhebt meteorologische Daten an Standorten, die im Berliner Stadtgebiet verteilt sind. Der Aufbau der Stationen orientiert sich am WMO Standard (Guide to Instruments and Methods of Observation, Volume I, Measurement of Meteorological Variables, WMO No. 8, http://dx.doi.org/10.25607/OBP-432) und wird vom Institut für Meteorologie der Freien Universität Berlin seit 1997 betreut. Im Datenpaket sind die Daten des Jahres 2005 enthalten. Zu jeder der 10 Stationen gibt es eine Datei mit gepackten Daten im CSV Format und eine Stationsbeschreibung im PDF Format. Dazu gibt es eine Gesamtbeschreibung des Messnetzes als PDF Datei. Weiterführende Informationen zum MEVIS Messnetz und den Daten findet man auf der MEVIS Portalseite: https://mevis.klimod.de.

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    Authors: Mulvaney, Robert; Frezzotti, Massimo; Ritz, Catherine; Martín, Carlos; +2 Authors

    This dataset consists of radar IRHs (internal reflecting horizons) which were traced across ice-penetrating radar surveys conducted between 2016 and 2018 over the Dome C region of the East Antarctic Plateau. The dataset is associated with the publication Chung et al. (2023). The data was collected during two radar surveys conducted in the Antarctic field seasons of 2016-17 and 2017-18 using the sledge-borne DEep LOoking Radio Echo Sounder (DELORES) from the British Antarctic Survey (BAS). The surveys covered two areas around Dome C which were identified as potential drill sites for the Beyond EPICA Oldest Ice drilling project - Little Dome C (LDC) and North Patch (NP). The LDC area is covered by a dense network of 116 radar transects, mostly organised as a grid, with denser data acquisition in areas of particular interest. At NP a grid of 21 radar transects were collected, covering an area of approximately 5×5 km^2. In this radar dataset, 20 IRHs and the ice-bed interface were manually traced, using the Petrel E&P Software Platform by Schlumberger. A single file for each IRH is provided in a .txt file, tab separated format with both two-way travel time and depth. The conversion done using c = 0.1685 m/us and firn correction of 10 m. The 20 IRHs are provided at 5 m along-track resolution.

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    PANGAEA
    Dataset . 2023
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2023
      Data sources: B2FIND
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    Authors: Intensivregister-Team am RKI;

    Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq

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    Authors: Fiege, Nicolai;

    This data set contains the full experimental data we analyzed for the publication "Improving Energy Efficiency in Loop Pipelining by Rational-II Modulo Scheduling" published at International Symposium on Field-Programmable Custom Computing Machines (FCCM) 2022.

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    DaKS
    Dataset . 2022
    Data sources: DaKS
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    This Research product is the result of merged Research products in OpenAIRE.

    You have already added works in your ORCID record related to the merged Research product.
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