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This repository contains data from an experiment at the LDM end station at FERMI FEL-1. The experimental details are described in Phys. Rev. Lett. 121, 255301; Langbehn et al (2018). In addition to the scattering data, the data file contains labels for a supervised machine learning task. These labels are subject of an upcoming publication about the applicability of neural networks within the domain of coherent diffraction imaging. The accompanying Python code for this paper can already be found at https://github.com/julian-carpenter/airynet.
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  • Dataset
This data package contains images of stem latex oxidation (blocked under nitrogen) under air and nitrogen in the central Amazon. This data was referenced in the publication: Piva LR, Jardine KJ, Cobello LO, Gimenez BO, Durgante FM, Higuchi N, Chambers JQ. Demonstration of a strict molecular oxygen requirement of yellow latex oxidation in the Central Amazon canopy tree Muiratinga (Maquira sclerophylla (Ducke) CC Berg). Videos of stem latex oxidation are available at: https://www.dropbox.com/sh/dtp978r0nt4iwbq/AAA-J7c4Ra8_-xhalsYtz8cCa?dl=0
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  • Dataset
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We simulated a fully coupled biogeochemical system in the Rifle floodplain from 1 January to 31 December 2014. We use 3D high resolution reactive transport modeling to investigate whether the spatial distribution of organic carbon rich and chemically reduced sediments located in the riparian zone and temporal variability in groundwater flow direction impact the formation and distribution of nitrogen hot spots (regions that exhibit higher reaction rates when compared to other locations nearby) and hot moments (times that exhibit high reaction rates as compared to longer intervening time periods) within the Rifle floodplain in Colorado. This data package includes simulated hydrologic and biogeochemical data from 01 Jan 2014 to 31 Dec 2014.
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  • Dataset
Raw leaf gas exchange data from K34 tower site on a plateau near Manaus, Brazil, collected using sensor and leaf sample measurements. Leaves on a target tree were chosen by accessing a branch near the tower. In some cases, the branch was naturally positioned near the tower and in other cases, a small rope was used to pull the branch closer to the tower for better access to leaves. Mature leaves were targeted in nearly all cases. The gas exchange system was hauled with a climbing rope to the level of the branch on the tower and the sensor head/leaf enclosure was installed near the branch of interest using a magic arm. We measured leaf gas exchange from 5:00 AM to 5:00 PM, randomly cycling through the approximately 20 leaves in the targeted branch(es). Data was collected over two time periods, detailed within the files. Attached data files contain raw data, sensor manuals, and PDFs with detailed methods and procedures. See data references for data package containing related metadata.
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QA/QC-ed datasets of Temperature, Solar Radiation, Relative Humidity, Rainfall, Wind Speed, and Wind Direction for the period of 2008-2017.
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  • Dataset
This data package provides lists of parameter values presented in the paper “Deep vadose zone respiration contributions to CO2 fluxes from a semi-arid floodplain” by Tokunaga et al., Vadose Zone J. 2016. Each table or figure from that paper that contains numerical information is represented as a sheet within the Excel file. Table 1 lists depth profile values for particle-size, bulk density, and parameters for correlating moisture contents with matric potentials. Table 2 lists soil respiration fluxes reported in other studies of semi-arid environments. Figure 3. Presents representative relations between moisture contents with matric potentials. Figure 4 presents depth profiles on different dates at site TT03 for hydraulic head, matric head, pore space volumetric air fraction, temperature, and the effective CO2 diffusion coefficient. Figure 5a presents the time-dependence of relative water table elevation (relative to the deepest measured depth during the study), daily CO2 flux rates at the soil surface, and soil temperature at a depth of 0.20 m. Figure 5b presents continuous measurements of CO2 flux and soil temperature. Figure 6 presents depth profiles on different dates of CO2 concentrations in the gas phase at the 5 monitoring stations. Figure 7 presents CO2 surface fluxes calculated by the gradient method, comparisons between calculated and measured rates at the soil surface, CO2 fluxes at 2m depth, and the ratio of deep (2 m) to surface CO2 fluxes.
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  • Dataset
Depth-resolved pore water samples were recovered from 3 locations around Meander A in the East River near Crested Butte, CO, USA for a suite of physiochemical analyses. Supplemental_Information.csv contains water quality measurements including pH, conductivity, temperature, ORP, TDS, O2 concentration, metal concentrations, carbon chemistry, and isotopic signatures; Coordinates.csv contains information regarding sampling locations; and Analysis_Notes.csv contains information regarding instrumentation and detection limits.
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  • Dataset
Leaf gas exchange survey measurements on in situ sunlit canopy leaves of GUATDU, MICOBO, TERMAM and VOCHFE species from PA-SLZ, February 2017. Multiple measurements were taken on young, mature and old leaves at 3 or 4 time points for each species (early morning, mid-morning, solar noon, afternoon) over 4 days. This data was collected as part of the 2017 BNL–STRI leaf traits by age campaign. See related datasets for further sample details, leaf water potential, leaf spectra, sap flow, LMA, other gas exchange measurements and leaf chemistry. Note: A corrected version of the data file was posted on October 9, 2018.
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Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
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  • Dataset
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