<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
<channel>
<title>Forschungsdaten</title>
<link>https://refubium.fu-berlin.de/handle/fub188/4</link>
<description/>
<pubDate>Sun, 26 Apr 2026 15:33:25 GMT</pubDate>
<dc:date>2026-04-26T15:33:25Z</dc:date>
<item>
<title>15-minütige urbane meteorologische Daten der Messstation "FU Geo Campus Lankwitz "(Berlin)</title>
<link>https://refubium.fu-berlin.de/handle/fub188/36397</link>
<description>15-minütige urbane meteorologische Daten der Messstation "FU Geo Campus Lankwitz "(Berlin)
Reinhardt-Imjela, Christian; Schulte, Achim
The dataset contains urban weather data recorded at the hydro-meteorological monitoring station of the Institute of Geographical Sciences at Freie Universitaet Berlin (working group Applied Physical Geography).&#13;
The station is located at 52°25'37" N, 13°21'29" E (WGS84) in an altitude of 45 m a.s.l. It consists of a 7.5 x 7.5 m wide fenced measuring field covered by short grass which is cut frequently (spring to fall) to ensure reference evaporation conditions. The field is equipped with a range of redundant devices that record weather information. In this summary we focus on a description of the devices from which data were included in the published dataset. A full list of all devices is available at https://www.geo.fu-berlin.de/en/geog/fachrichtungen/angeog/Messfeld-auf-dem-Campus/index.html. &#13;
The dataset contains rainfall, air temperature, humidity, air pressure, solar radiation as well as wind speed and direction, each measured in intervals of 15 min. The time series starts in January 2017 and is updated annually.&#13;
Rainfall is collected with a Davis VantagePro tipping bucket which is part of the ISS (Integrated Sensor Suite, DAV-6323EU, manufactured before 2007) and mounted 2 m above ground. The collector diameter is 16.3 cm resulting in a collecting area of 210 cm². The measuring resolution of the tipping bucket is 0.25 mm (0.01 inch). During winter the DAVIS rain gauge is heated using the DAV-7720EU heating system. The begin of the heating period in each year is determined by the air temperature and starts before the daily minimum drops below 0°C. In addition a stainless steel Hellmann gauge with standard diameter of 16 cm (area: 200 m²) is installed on the monitoring field 1 m above ground. Rain water is collected in a steel can, which is emptied manually every morning from Monday to Friday using a DIN58667 measuring glass. Between December and February accumulated snow and ice is thawed. Paired data from the Hellman and DAVIS collector to assess accuracy are not included in the data set but published separately (Reinhardt-Imjela et al. 2018). Temperature (°C), Wind speed and wind direction are measured 2 m above ground with the Vaisale WXT520 weather transmitter, humidity (%) and air pressure (hPa) also 2 m above ground with the DAVIS ISS. For solar radiation (W/m²) a Kipp &amp; Zonen CMP3 Pyranometer is mounted also 2 m above ground.&#13;
&#13;
The data are provided as a tab-separated TXT file with column names in the first line. The first column contains the date and time (date format: DD/MM/YYYY hh:mm). In the following columns all measured parameters are listed (units are included in the column name). Measuring errors or missing values are marked with “N/A”. Empty fields for the wind direction indicate intervals without measurable wind speed.
</description>
<pubDate>Sat, 01 Jan 2022 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://refubium.fu-berlin.de/handle/fub188/36397</guid>
<dc:date>2022-01-01T00:00:00Z</dc:date>
</item>
<item>
<title>[3]Radialene fluorophores with pH-switchable emission and stable absorption maxima</title>
<link>https://refubium.fu-berlin.de/handle/fub188/47413</link>
<description>[3]Radialene fluorophores with pH-switchable emission and stable absorption maxima
Soyka, Jan; Witte, J. Felix; Wiesner, Anja; Krappe, Alexander R.; Wehner, Dana; Alnicola, Nicola; Paulus, Beate; Resch-Genger, Ute; Eigler, Siegfried
We report on the first push-pull quino [3]radialene fluorescent dye. Here, the novel bis(dicyanomethylene)-[3]radialene electron acceptor was connected to a benzimidazole donor. With protonation a substantial red-shift of fluorescence wavelength is observed, while the absorption maximum remains stable. This process is accompanied with an increased fluorescence quantum yield to about 70%. Further, we explain the findings by a combined experimental and theoretical approach and find that vibronic coupling plays a crucial role. This study highlights the yet unexplored potential of [3]radialene-based motifs for the design of environment-responsive fluorophores.
</description>
<pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://refubium.fu-berlin.de/handle/fub188/47413</guid>
<dc:date>2025-01-01T00:00:00Z</dc:date>
</item>
<item>
<title>3D-surface reconstruction of cellular cryo-soft X-ray microscopy tomograms using semi-supervised deep learning</title>
<link>https://refubium.fu-berlin.de/handle/fub188/37508</link>
<description>3D-surface reconstruction of cellular cryo-soft X-ray microscopy tomograms using semi-supervised deep learning
Sadeghi, Mohsen; Dyhr, Michael; Moynova, Ralitsa; Knappe, Carolin; Kepsutlu Çakmak, Burcu
Cryo-soft X-ray tomography (cryo-SXT) is a powerful method to investigate the ultrastructure of cells, offering resolution in the tens of nm range and strong contrast for membranous structures without requirement for labeling or chemical fixation. The short acquisition time and the relatively large volumes acquired allow for fast acquisition of large amounts of tomographic image data. Segmentation of these data into accessible features is a necessary step in gaining biologically relevant information from cryo-soft X-ray tomograms. However, manual image segmentation still requires several orders of magnitude more time than data acquisition. To address this challenge, we have here developed an end-to-end automated 3D-segmentation pipeline based on semi-supervised deep learning. Our approach is suitable for high-throughput analysis of large amounts of tomographic data, while being robust when faced with limited manual annotations and variations in the tomographic conditions. We validate our approach by extracting three-dimensional information on cellular ultrastructure and by quantifying nanoscopic morphological parameters of filopodia in mammalian cells.
</description>
<pubDate>Sun, 01 Jan 2023 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://refubium.fu-berlin.de/handle/fub188/37508</guid>
<dc:date>2023-01-01T00:00:00Z</dc:date>
</item>
<item>
<title>50 Ways to Serve the Customer - A Curated List of Songs about Service: Lyrics</title>
<link>https://refubium.fu-berlin.de/handle/fub188/37898</link>
<description>50 Ways to Serve the Customer - A Curated List of Songs about Service: Lyrics
Kleinaltenkamp, Michael
Services are a part of our daily lives, so it is not surprising that artists have also taken up the phenomenon and reflected it in their works. This holds not only for popular music, in which artists approach service from the role of customers or front-line employees, but artists also use service as a metaphor to express their ideas and feelings. To gain a deeper understanding of how “serving the customer” works and what experiences, thoughts, and emotions might be associated with it, good or bad, the related chapter examines how lyricists and songwriters have dealt with the theme and the underlying service topics.
This document provides the lyrics of all  songs that are featured in the chapter "50 Ways to Serve the Customer—A Curated List of Songs About Service" by Michael Kleinaltenkamp, published in: Aichner, Thomas (Ed.). Serving the Customer, pp. 57–75. Wiesbaden 2023, Springer Gabler
</description>
<pubDate>Sun, 01 Jan 2023 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://refubium.fu-berlin.de/handle/fub188/37898</guid>
<dc:date>2023-01-01T00:00:00Z</dc:date>
</item>
</channel>
</rss>
