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Gas exchange data from Douglas fir juveniles during experimental drought and recovery

This dataset contains physiological measurements from a controlled laboratory experiment on juvenile Pseudotsuga menziesii (Douglas fir) conducted between June and August 2023 at the experimental greenhouse facility of the Karlsruhe Institute of Technology (KIT), Campus Alpin, Garmisch-Partenkirchen, southern Germany. The plant material originated from a commercial nursery in Franconia, Germany, and consisted of three-year-old trees maintained under uniform conditions prior to the experiment. The experiment aimed to assess the physiological responses of P. menziesii to progressive drought and subsequent recovery under controlled environmental conditions. Two drought treatments (mild and severe) were applied over a four-week period, followed by a re-watering phase. Air and soil temperature, relative humidity, vapor pressure deficit, molar flow, transpiration rate, net photosynthesis, conductance to water, and CO₂ exchange were recorded continuously using automated LI-COR gas exchange systems with separate branch (aboveground) and root (belowground) chambers. Each measurement is associated with a unique tree identifier, treatment level, and compartment. All timestamps are reported in Coordinated Universal Time (UTC). The dataset provides detailed observations suitable for examining drought stress responses and recovery dynamics in juvenile Pseudotsuga menziesii under controlled laboratory conditions.

openSenseMap: Sensor Box IGE Geomatics delta

senseBox connected via LoRaWAN operated by the Geomatics team of the Institute of Geotechnology and Mineral Resources, Department of Geo-Engineering, Clausthal University of Technology, in the scope of the master program Geoenvironmental Engineering.

Improved Estimates of Monthly Land Surface Temperature from MODIS using a Diurnal Temperature Cycle (DTC) Model

The data associated with the experiment to construct monthly Land Surface Temperature(LST) using a diurnal temperature cycle (Duan et al 2013, 2014, Göttsche and Olesen 2001) from MODIS observations at the 32 sites of flux towers over relatively homogenous sites globally. The methodology is summarized in the manuscript under review. The data include three files of monthly LST estimates in Celsius Degree over the land and coordinates are included in each file.

Atmospheric weather data (air and soil temperature, relative humidity, photosynthetic photon flux density) (Table 6)

The weather station was set up in the beginning of the sampling period in August 2019 and ran the entire sampling period with an interruption between 30th January 2020 and 11th June 2020. Air and soil temperatures, relative humidity and photosynthetic flux density were measured on hourly intervals. Please note that the ground temperature sensor was situated 20 above the ground and therefore the measured medium depends on the conditions of the field site. Before rewetting, the medium was air, but after rewetting, when the area was usually inundated with water it indicates water temperatures.

Steigerung der Resilienz des Hopfenbaus gegenüber den Folgen des Klimawandels: Untersuchung der Chancen und Risiken von Agri-PV im konventionellen Hopfenbau, Teilprojekt A

Steigerung der Resilienz des Hopfenbaus gegenüber den Folgen des Klimawandels: Untersuchung der Chancen und Risiken von Agri-PV im konventionellen Hopfenbau, Teilprojekt D

openSenseMap: Sensor Box Sportplatzwetter

Temperature, Humidity: HDC1080 Pressure: BMP280 Luminance: TSL45315 UV: VEML6070 PM2.5, PM10: SDS011(replaced with SPS30) PM1.0, PM2.5, PM4, PM10: SPS30 Soil-Temp, Humidity: SMT50 Volume: DFRobot Sound-Level Wind: Anemometer Rain: MISOL Rain Gauge (mm/min) CO2: SCD30 CO, NH3, NH4: MiCS-6814

Ozonbelastung und Zirkulationsdynamik im Becken von Mexiko

Ziel der geplanten Arbeiten ist es, Gesetzmäßigkeiten zwischen der raum-zeitlichen Dynamik der Ozonkonzentration und deren Vorläuferstoffe sowie den meteorologischen Variablen Temperatur, Luftfeuchte, Strahlung, Luftmassenstabilität, Windgeschwindigkeit und Windrichtung im Boden, 700- und 500 hPa-Niveau so herauszuarbeiten, dass Prognosen der zu erwartenden Ozonbelastung möglichst 24 Stunden im voraus für den Bereich der Mexico City Metropolitan Area (MCMA) möglich werden. Neben statistischen Verfahren sollen dazu auch künstliche Neuronale Netzwerke eingesetzt werden. Bereits vorliegende Ergebnisse von Modellrechnungen sollen durch die Datenauswertungen verifiziert und ggf. Anregungen zur Verbesserung der Modelle herausgearbeitet werden.

openSenseMap: Sensor Box HE Humboldt-Gymnasium Berlin senseBox6

Das ist eine senseBox der Humboldt Explorers. Weitere Informationen unter: www.humboldt-explorers.de

openSenseMap: Sensor Box HE Humboldt-Gymnasium Berlin senseBox4

Das ist eine senseBox der Humboldt Explorers. Weitere Informationen unter: www.humboldt-explorers.de

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