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Abstract: The Global Dataset of Historical Yield (GDHYv1.2+v1.3) offers annual time series data of 0.5-degree grid-cell yield estimates of major crops worldwide for the period 1981-2016. The crops considered in this dataset are maize, rice, wheat and soybean. The unit of yield data is t/ha. The grd-cell yield data were estimated using the satellite-derived crop-specific vegetation index and FAO-reported country yield statistics. Maize and rice have the data for each of two growing seasons (major/secondary). "Winter" and "spring" are used as the growing season categories for wheat. Only "major" growing season is available for soybean. These growing season categories are based on Sacks et al. (2010, DOI: 10.1111/j.1466-8238.2010.00551.x). The geographic distribution of harvested area changes with time in reality, but we used the time-constant data in 2000 (Monfreda et al., 2008, doi:10.1029/2007GB002947). Many missing values are found in the first (1981) and last (2016) years because grid-cell yields are not estimated for these years when growing season spans two calendar years. The data for the period 1981-2010 are the same with the version 1.2 ( https://doi.org/10.20783/DIAS.528). For the period 2011-2016, a newly created version 1.3 using the satellite products that are different with earlier versions was alighned to ensure the continuity of yield time series. This version is therefore called "the alighned version v1.2+v1.3". Category: geoscientificInformation Source: Supplement to: Iizumi, Toshichika; Sakai, T (in review): The global dataset of historical yields for major crops 1981–2016. Scientific Data Supplemental Information: Not Availble Coverage: Not Available
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Abstract: The identification and quantification of natural carbon (C) sinks is critical to global climate change mitigation efforts. Tropical coastal wetlands are considered important in this context, yet knowledge of their dynamics and quantitative data are still scarce. In order to quantify the C accumulation rate and understand how it is influenced by land use and climate change, a palaeoecological study was conducted in the mangrove-fringed Segara Anakan Lagoon (SAL) in Java, Indonesia. A sediment core was age-dated and analyzed for its pollen and spore, elemental and biogeochemical compositions. The results indicate that environmental dynamics in the SAL and its C accumulation over the past 400 years were controlled mainly by climate oscillations and anthropogenic activities. The interaction of these two factors changed the lagoon's sediment supply and salinity, which consequently altered the organic matter composition and deposition in the lagoon. Four phases with varying climates were identified. While autochthonous mangrove C was a significant contributor to carbon accumulation in SAL sediments throughout all four phases, varying admixtures of terrestrial C from the hinterland also contributed, with natural mixed forest C predominating in the early phases and agriculture soil C predominating in the later phases. In this context, climate-related precipitation changes are an overarching control, as surface water transport through rivers serves as the "delivery agent" for the outcomes of the anthropogenic impact in the catchment area into the lagoon. Amongst mangrove-dominated ecosystems globally, the SAL is one of the most effective C sinks due to high mangrove carbon input in combination with a high allochthonous carbon input from anthropogenically-enhanced sediment from the hinterland and increased preservation. Given the substantial C sequestration capacity of the SAL and other mangrove-fringed coastal lagoons, conservation and restoration of these ecosystems is vitally important for climate change mitigation. Category: geoscientificInformation Source: Supplement to: Hapsari, Kartika Anggi; Jennerjahn, Tim C; Lukas, Martin C; Karius, Volker; Behling, Hermann (2019): Intertwined effects of climate and land use change on environmental dynamics and carbon accumulation in a mangrove‐fringed coastal lagoon in Java, Indonesia. Global Change Biology, https://doi.org/10.1111/gcb.14926 Supplemental Information: Not Availble Coverage: Not Available
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Abstract: The drainage divides of ice sheets separate the overall glaciated area into multiple sectors. These drainage basins are essential for partitioning mass changes of the ice sheet, as they specify the area over which basin specific measurements are integrated. The delineation of drainage basins on ice sheets is challenging due to their gentle slopes accompanied by local terrain disturbances and complex patterns of ice movement. Until now, in Greenland the basins have been mostly delineated along the major ice divides, which results in large drainage sectors containing multiple outlet glaciers. However, when focusing on measuring glaciological parameters of individual outlet glaciers, more detailed drainage basin delineations are needed. Here we present for the first time a detailed and fully traceable approach that combines ice sheet wide velocity measurements by Sentinel-1 and the high resolution TanDEM-X global DEM to derive individual glacier drainage basins. We delineated catchments for the Northeast Greenland Ice Sheet with a modified watershed algorithm and present results for 31 drainage basins. Even though validation of drainage basins remains a difficult task, we estimated basin probabilities from Monte-Carlo experiments and applied the method to a variety of different ice velocity and DEM datasets finding discrepancies of up to 16% in the extent of catchment areas. The proposed approach has the potential to produce drainage areas for the entirety of the Greenland and Antarctic ice sheets. Category: geoscientificInformation Source: Supplement to: Krieger, Lukas; Floricioiu, Dana; Neckel, Niklas (2020): Drainage basin delineation for outlet glaciers of Northeast Greenland based on Sentinel-1 ice velocities and TanDEM-X elevations. Remote Sensing of Environment, 237, 111483, https://doi.org/10.1016/j.rse.2019.111483 Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE: 80.130000 * LONGITUDE: -19.450000
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Abstract: Not Available Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE START: -33.906800 * LONGITUDE START: 18.433700 * LATITUDE END: -53.144700 * LONGITUDE END: -70.909100 * DATE/TIME START: 2018-12-15T00:00:00 * DATE/TIME END: 2019-02-07T00:00:00 * LOCATION: South Atlantic Ocean * CAMPAIGN: PS117 * BASIS: Polarstern * METHOD/DEVICE: Underway cruise track measurements
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Abstract: Not Available Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE START: -33.906800 * LONGITUDE START: 18.433700 * LATITUDE END: -53.144700 * LONGITUDE END: -70.909100 * DATE/TIME START: 2018-01-19T00:00:00 * DATE/TIME END: 2018-03-14T00:00:00 * CAMPAIGN: PS111 * BASIS: Polarstern * DEVICE: Underway cruise track measurements
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Abstract: The input files for the case D-VB. The files with the name started with "in" are input files for LIGGGHTS (https://github.com/CFDEMproject/LIGGGHTS-PUBLIC) and the C++ file is the input file for Palabos (http://www.palabos.org/). The input files are called in the following sequence: 1. in.cloud - generate the particles 2. in.rain - create a granular column by turning on the gravity 3. in.trim - trim the particles so that the aspect ratio is 0.8 4. damBreakImmersed.cpp - solve fluid filed using LBM 5. in.immerse - immersed the granular column 6. in.cycle - called by "damBreakImmersed.cpp" to advance the DEM simulation Other cases with different column sizes and packing densities can be simulated by the same input files with adjustments on the geometry and friction coefficients during sample preparation. Category: geoscientificInformation Source: Supplement to: Yang, G C; Jing, L; Kwok, C Y; Sobral, Y D (2020): Pore‐Scale Simulation of Immersed Granular Collapse: Implications to Submarine Landslides. Journal of Geophysical Research-Earth Surface, 125(1), https://doi.org/10.1029/2019JF005044 Supplemental Information: Not Availble Coverage: Not Available
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Abstract: Not Available Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE: 47.126000 * LONGITUDE: 11.290900 * LOCATION: Tyrolian Alps, Austria * DEVICE: Multiple investigations
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Abstract: Near monthly and annual records of Ba/Ca, 18O, and 13C for a Porites coral from the naturally extreme reef environment in the nearshore Kimberley region of northwestern Australia. The monthly records cover from 1995 to 2015, and the annual records cover from 1919 to 2015. Category: geoscientificInformation Source: Supplement to: Chen, Xuefei (2020): Terrestrial signature in coral Ba/Ca, δ18O, and δ13C records from a macro‐tide dominated nearshore reef environment, Kimberley region of northwestern Australia. Journal of Geophysical Research: Biogeosciences, https://doi.org/10.1029/2019JG005394 Supplemental Information: Not Availble Coverage: Not Available
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Abstract: Major and minor geochemistry information and measured EBSD (electron backscatter diffraction), accompanied with MTEX toolbox scripts example. Category: geoscientificInformation Source: Supplement to: Shao, Yilun; Prior, David J; Scott, James M; Negrini, Marianne (submitted): Pre-Alpine Fault fabrics in mantle xenoliths from East Otago, South Island, New Zealand. Supplemental Information: Not Availble Coverage: Not Available
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Abstract: Spatial information on past weather contributes to better understand the processes behind day-to-day weather variability and to assess the risks arising from weather extremes. This dataset provides daily, high-resolution reconstructions of precipitation and temperature fields for Switzerland back to 1864. Reconstructions are provided as "raw" data resulting from an analogue resampling method (ARM), as well as post-processed data (using an ensemble Kalman fitting approach for temperature and quantile mapping for precipitation. For further information, the reader is referred to the references. The dataset comprises the following files: - 2019-10-06_precip_ARM_1864-01-01-2017-12-31.nc (precipitation, analogue reconstructions) - 2019-10-06_precip_qmap_1864-01-01-2017-12-31.nc (precipitation, post-processed) - 2019-10-06_temp_ARM_1864-01-01-2017-12-31.nc (temperature, analogue reconstructions) - 2019-10-06_temp_EnKF_1864-01-01-2017-12-31.nc (temperature, post-processed) Category: geoscientificInformation Source: Supplement to: Pfister, Lucas; Brönnimann, Stefan; Schwander, Mikhaël; Isotta, Francesco Alessandro; Horton, P; Rohr, Christian (accepted): Statistical Reconstruction of Daily Precipitation and Temperature Fields in Switzerland back to 1864. Climate of the Past Discussions, https://doi.org/10.5194/cp-2019-124 Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE: 46.800000 * LONGITUDE: 8.230000 * DATE/TIME START: 1864-01-01T00:00:00 * DATE/TIME END: 2017-12-31T23:59:00 * LOCATION: Switzerland
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