This dataset contains all the main and supplementary data collected from diurnal measurements of Arabidopsis npq mutants in the summer of 2017 and winter of 2018. The dataset is composed of reflectance measurements, passive fluorescence signal (SIF) and active fluorescence signal both from pulse amplitude modulation (PAM) technique and light induced fluorescence technique (LIFT). (2020-05-20)

The HyPlant imaging spectrometer is a high-performance airborne instrument consisting of two sensor modules. The DUAL module records hyperspectral data in the spectral range from 400–2500 nm, which are useful to derive biochemical and structural plant properties. In parallel, the FLUO module acquires data in the red and near infrared range (670–780 nm) with a distinctly higher spectral sampling interval and finer spectral resolution. The technical specifications of HyPlant FLUO allow for the retrieval of sun-induced chlorophyll fluorescence (SIF), a small signal emitted by plants, which is directly linked to their photosynthetic efficiency. The combined use of both HyPlant modules opens up new opportunities in plant science. The presented example dataset was recorded on June 29, 2018 at 12.30 MEST and covers a part of the agricultural research station Campus Klein-Altendorf (CKA), which is affiliated to the Agricultural Faculty of the University of Bonn (Germany). The area is located between the cities of Rheinbach and Meckenheim in the western part of Germany (50°37′N, 6°59′E), 40 km south of Cologne.

CMLR GPP is a mechanistic global Gross Primary Production dataset using TROPOMI Solar-induced chlorophyll fluorescence observations (TROPOSIF). This dataset provided GPP estimates from May 2018 to December 2021 with a 0.05° spatial resolution at 1-day time step. We modified the mechanistic light response (MLR) model proposed by Gu et al. (2019) to apply it to the canopy-scale, and then generated this dataset.

This dataset contains acquisitions and references of spatially and temporally closely matching HyPlant/DESIS and OCO-3/DESIS acquisitions

This dataset consists of HyPlant FLUO at-sensor radiance measurements from different campaigns in the years 2018 - 2023, FLOX measurements corresponding to several campaigns and matching SFMNN and SFM SIF products. Related Publication J. Buffat, M. Pato, K. Alonso, S. Auer, E. Carmona, S. Maier, R. Müller, P. Rademske, U. Rascher, H. Scharr, B. Siegmann, A Multi-Layer Perceptron Approach for SIF Retrieval in the O2-A Absorption Band from Hyperspectral Imagery of the Airborne HyPlant Sensor System, 2024. Submitted to Remote Sensing of Environment.

This dataset is based on spaceborne data from the ESA's Sentinel-5 Precursor (Sentinel-5P) satellite and NASA's Aqua and Terra satellites. The data span from May 2018 to August 2025, providing daily temporal resolution. Both datasets were resampled to a spatial resolution of 0.05° and were masked to exclude non-vegetated surfaces using the MODIS MCD12Q1 land cover classification (Friedl et al. 2002). To optimise processing efficiency, the majority of processing steps were carried out using Google Earth Engine (GEE) (Gorelick et al. 2017).

This dataset contains leaf-level measurements of active Chl fluorescence and passive solar-induced fluorescence measurements (SIF) over the 2024 growing season. Spring wheat, soybean and maise were measured on several days. Active Chl fluorescence measurements were done with a MinIPAM II b (Walz, Germany). Around ± 5 days of each measurement day, a dark-adapted measurement was done at night, at least one hour after sunset.SIF-measurements were done with the FluoWat coupled with a Leaf Fluorescence Box LoX (JB Hyperspectral GmbH, Germany).

When using the data, please cite: "Sanghavi, S., Frankenberg, C., Nelson, R. R., O’Dell, C. W., Rosenberg, R., & Joiner, J. (2025). Impact of Raman scattering on SIF retrievals from hyperspectral satellite observations. Geophysical Research Letters, 52, e2024GL112777. https://doi.org/10.1029/2024GL112777"

The weak emission of SIF retrieved from satellites can be cunfused with inelastic scattering component of sunlight (lacking distinctive Frauenhofer lines). This file contains a correction for this phenomenon. The data contains the Rayleigh radiance computation I_Rayleigh, the purely elastic component I_Cabannes, the purely inelastic component I_RRS and the solar flux F_0 on a uniform wavenumber grid covering the spectral range 739.995-785.006 nm. These are tabulated for 14 SZAs between 0-70 (deg), 6 VZAs between 0-75 (deg), 5 relative azimuths between 0-180 (deg), 3 surface pressures (500, 750 and 1000 hPa) and 21 surface albedos from 0-1. The read_raman_lut.jl file is written in the programming language Julia and Python.

1. Establish FTP connection to ftp://fluo.gps.caltech.edu/XYZT_RRS_LUT/raman_lut_ABO2.nc.
2. Choose the guest login
3. Download the Raman data
4. Download either the Julia or Python script to read the data (click the coresponding download button)
5. Unpack the .7z file and run the script