cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.35097/1647
title: Zur Beweglichkeit von Kindern heute und vor zehn Jahren

description: "Zur Beweglichkeit von Kindern heute und vor zehn Jahren." In: Sportunterricht, 39 (1990) 10, S. 373-384 Die Autoren sind am Institut fuer Sportwissenschaft der Universitaet Hannover taetig. Sie haben in einer empirischen Studie die Frage ueberprueft, ob sich die gegenwaertigen Lebensbedingungen von Grundschulkindern, die zunehmend mit dem viel diskutierten "Bewegungsmangel" beschrieben werden, auf die Entwicklung der Beweglichkeit auswirken. Hierzu haben sie im Herbst 1989 den Entwicklungsstand der Beweglichkeit im Bereich der grossen Gelenke von 74 achtjaehrigen Kindern heute mit den Unterlagen von 74 achtjaehrigen Kindern im Jahre 1979 verglichen. Die beiden Kindergruppen waren parallelisiert, d. h. es waren zwei parallele Gruppen hinsichtlich Geschlecht, Alter und Schule. Die Autoren gingen dabei von der Ueberlegung aus, dass eine hohe Beweglichkeit grundsaetzlich mit einer guten muskulaeren Situation verbunden ist. Diese wirkt sich langfristig gesehen positiv auf den Gesundheitszustand eines Menschen aus und gilt ausserdem als elementare Voraussetzung fuer qualitativ und quantitativ gute Bewegungsausfuehrungen im Sport. Zunaechst einmal wurde bei der Untersuchung der koerperliche Entwicklungsstand ermittelt, wobei sich Unterschiede zwischen den heutigen Grundschulkindern und den Grundschulkindern vor 10 Jahren ergaben. Die Jungen waren 1979 im geschlechtsspezifischen Vergleich bei gleichem Alter groesser und schwerer, hatten breitere Schultern und laengere Arme als die
DOI: 10.35097/500
title: A highly textured multispectral light field dataset

description: A multispectral light field dataset of three real-world highly textured scenes.
description: The dataset "DATA.zip" contains the decoded, white-balanced, and de-vignetted multispectral light fields. You can directly use these calibrated light fields in your research. If you do so, please cite our corresponding paper [1]. For further details, please see the provided README.txt.
description: [1] Maximilian Schambach, Jiayang Shi, and Michael Heizmann: "Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep Learning" International Conference on 3D vision (3DV), 2021
description: Custom-built multispectral light field camera
DOI: 10.35097/475
title: Umo et al. (2021), data to: The Influence of Chemical and Mineral Compositions on the Parameterization of Immersion Freezing by Volcanic Ash Particles, JGR

description: This data packages contains the data from Umo et al. (2021), The Influence of Chemical and Mineral Compositions on the Parameterization of Immersion Freezing by Volcanic Ash Particles, J. Geophys. Res. Atmos.. The data as shown in Figures 4,5,8,9, and Tables 1,2, and Supplement Tables 1,2 are formatted in comma-separated values (csv).
DOI: 10.35097/675
title: CCMI-1 ozone data for O3as service (v1: zonal means and monthly means of total columns)

description: Reduction of climate model total ozone columns to monthly and zonal means for use in time series and ozone recovery studies.
description: O3as service: https://o3as.data.kit.edu/
DOI: 10.35097/469
title: Data for "A Lagrangian perspective on stable water isotopes during the West African Monsoon"

description: This dataset contains backward trajectories analyzed in the study "A Lagrangian perspective on stable water isotopes during the West African Monsoon" (Diekmann et al., 2021). The trajectories are based on a COSMOiso simulation provided by Andries J. de Vries (ETH Zurich) and were computed with the tool LAGRANTO (Sprenger and Wernli, 2015).
description: LAGRANTO COSMOiso
description: DOI of the corresponding publication (Diekmann et al., 2021)
DOI: 10.35097/492
title: Data for "Disentangling different moisture transport pathways over the eastern subtropical North Atlantic using multi-platform isotope observations and high-resolution numerical modelling"

description: This is the MUSICA IASI dataset of {H2O, dD} pairs used for the publication "Disentangling different moisture transport pathways over the eastern subtropical North Atlantic using multi-platform isotope observations and high-resolution numerical modelling" (Dahinden et al., 2021, https://doi.org/10.5194/acp-2021-269). It includes the MUSICA IASI {H2O, dD} pair results over Tenerife for the period July - August 2013. Information about the MUSICA IASI dataset can be found in Diekmann et al. (2021, https://doi.org/10.5194/essd-2021-87).
description: Metop IASI
DOI: 10.35097/832
title: ESACCI ozone data for O3as service (v1: zonal means and monthly means of total columns)

description: Reduction of climate model total ozone columns to monthly and zonal means for use in time series and ozone recovery studies.
description: O3as service: https://o3as.data.kit.edu/
DOI: 10.35097/934
title: ExoTIC model results for model-measurement inter-comparison with MIPAS; ExoTIC model results for comparison of Halloween SPE and extreme event of 775 A.D.

description: Model results from ExoTIC for chemical species of HOCl, ClONO2, ozone and NOy for MIPAS inter-comparison are stored. Model results with MIPAS averaging kernels applied are also stored here along with zonal averaged MIPAS data. The simulations are carried out for the Halloween SPE of 2003 using ionisation rates from AISstorm for the MIPAS comparison. Model data for the comparison of Halloween SPE 2003 and an extreme solar event of 775 A.D. are stored as well. More information about the naming conventions is given in Description of datasets.pdf.
description: ExoTIC (Exoplanetary Terrestrial Ion-Chemistry) 1D stacked box model
description: MIPAS
DOI: 10.35097/380
title: MIPAS/Envisat yearly global mean profiles of SF6
DOI: 10.35097/402
title: MIPAS/Envisat yearly global mean profiles of SF6 V2
DOI: 10.35097/689
title: MUSICA IASI / RemoTeC TROPOMI fused methane data set (version 1.0)

description: This version 1.0 MUSICA IASI / RemoTeC TROPOMI fused methane data set contains total (ground – top of atmosphere, variable ), tropospheric (ground – about 6 km a.s.l., variable ), and UTLS (upper tropospheric/lower stratospheric, about 6 – 20 km a.s.l., variable ) column-averaged dry-air mole fractions of methane (CH4). The data are obtained by combining the level 2 CH4 profiles and XCH4 total columns (generated from the IASI TIR spectra and the TROPOMI NIR/SWIR spectra, respectively). The level 2 CH4 profiles were generated by the MUSICA processor (version 3.3.0) and the level 2 XCH4 total columns by the RemoTeC processor (operational processing algorithm version 2.2.0). The combination is realized by means of a Kalman filter that uses the MUSICA IASI data as the background and the TROPOMI data as the new observation. Details of the combination method, the IASI and TROPOMI collocation requirements, and the data quality are described in Schneider et al. (2022, https://doi.org/10.5194/amt-15-4339-2022). The data cover an example period for northern hemispheric winter and summer conditions (01 January – 30 January 2020 and 01 July – 30 July 2020, respectively).
description: Metop IASI and Sentinel-5 Precursor TROPOMI
description: The data fusion method is described in detail in Schneider et al. (2022, https://doi.org/10.5194/amt-15-4339-2022). The used the RemoTeC TROPOMI XCH4 data (operational processing algorithm version 2.2.0) are described in Lorente et al. (2021, https://doi.org/10.5194/amt-14-665-2021). The used MUSICA IASI CH4 profile data (processing version 3.3.0) are described in Schneider et al. (2022, https://doi.org/10.5194/essd-14-709-2022).
DOI: 10.35097/690
title: MUSICA IASI / RemoTeC TROPOMI fused methane data set (version 2.0)

description: This version 2.0 MUSICA IASI / RemoTeC TROPOMI fused methane data set contains total (ground – top of atmosphere, variable ), tropospheric (ground – about 6 km a.s.l., variable ), and UTLS (upper tropospheric/lower stratospheric, about 6 – 20 km a.s.l., variable ) column-averaged dry-air mole fractions of methane (CH4). The data are obtained by combining the level 2 CH4 profiles and XCH4 total columns (generated from the IASI TIR spectra and the TROPOMI NIR/SWIR spectra, respectively). The level 2 CH4 profiles were generated by the MUSICA processor (version 3.3.0) and the level 2 XCH4 total columns by the RemoTeC processor (operational processing algorithm version 2.3.1, this version includes data over ocean in glint mode). The combination is realized by means of a Kalman filter that uses the MUSICA IASI data as the background and the TROPOMI data as the new observation. Details of the combination method, the IASI and TROPOMI collocation requirements, and the data quality are described in Schneider et al. (2022, https://doi.org/10.5194/amt-15-4339-2022). The data cover an example period for northern hemispheric winter and summer conditions (01 January – 30 January 2020 and 01 July – 30 July 2020, respectively). The only difference of this version 2.0 to the version 1.0 of the fused MUSICA IASI / RemoTeC TROPOMI data set (accessible at https://doi.org/10.35097/689) is the use of TROPOMI RemoTeC operational processing version 2.3.1 (instead of version 2.2.0), which offers among others additional data availability over ocean.
description: Metop IASI and Sentinel-5 Precursor TROPOMI
description: The data fusion method is described in detail in Schneider et al. (2022, https://doi.org/10.5194/amt-15-4339-2022). The used the RemoTeC TROPOMI XCH4 data (operational processing algorithm version 2.3.1) are described in Lorente et al. (2022, https://doi.org/10.5194/amt-2022-197). The used MUSICA IASI CH4 profile data (processing version 3.3.0) are described in Schneider et al. (2022, https://doi.org/10.5194/essd-14-709-2022).
DOI: 10.35097/412
title: MUSICA IASI full retrieval product extended output (processing version 3.2.1)

description: IASI (Infrared Atmospheric Sounding Interferometer) is the core instrument of the currently three Metop satellites of EUMETSAT (European Organization for the Exploitation of Meteorological Satellites). The MUSICA IASI processing has been developed in the framework of the European Research Council project MUSICA (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water). The MUSICA IASI processor performs an optimal estimation of the vertical distributions of H2O, the ratio HDO/H2O, N2O, CH4, and HNO3, and works with IASI radiances measured for cloud-free conditions in the spectral window between 1190 and 1400 cm-1. This data file encompasses the retrieval output (processing with version 3.2.1) for a total of 74 observations over the polar site of Sodankylä (67.4°N), the mid-latitudinal site of Lindenberg (52.2°N), and the tropical site of Manus Island (2.0°N). In addition to the variables of the standard output data files, this extended output data file contains detailed information on Jacobians and gain matrices. The extended output information can be used to assess the impact of different uncertainty sources, like surface emissivity or spectroscopic parameters, and different cloud types on the retrieval results, for the three different climate zones (polar, mid-latitudinal, tropical). The corresponding MUSICA IASI full retrieval product standard output is accessible via https://doi.org/10.35097/408 and the MUSICA IASI full retrieval and its extended and standard outputs are described in detail in Schneider et al. (2022, https://doi.org/10.5194/essd-14-709-2022).
description: Metop IASI
description: This data set contains extended retrieval output for 74 example observations (extension with respect to the MUSICA IASI full retrieval product standard output, accessible via DOI:10.35097/408). The MUSICA IASI full retrieval product extended (and standard) outputs are described in detail in Schneider et al. (2022, https://doi.org/10.5194/essd-14-709-2022).
DOI: 10.35097/415
title: MUSICA IASI water isotopologue pair product (a posteriori processing version 2)

description: This is a global and multi-annual space-borne data set of tropospheric {H2O,δD} pairs based on radiance measurements from the nadir thermal infrared sensor IASI (Infrared Atmospheric Sounding Interferometer) onboard the Metop satellites of EUMETSAT (European Organisation for the Exploitation of Meteorological Satellites). The data set is an a posteriori processed extension of the MUSICA (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water) IASI full product dataset (DOI:10.35097/408). The data are available for all cloud-free MUSICA IASI retrievals for the continuous time period between October 2014 and June 2019 and with a global coverage twice per day (local morning and evening overpass times). The data set contains the H2O and δD vertical profile together with estimations of the leading error components, and information on the vertical representativeness in form of the averaging kernels. The complete data set has a volume of about 7 TB and is archived at bwDataArchive (a long-term data archive for scientific data). Details on data format, access, and authenticity are given in the file "ReadMe.pdf". The files "*.md5" collect the MD5 checksums of the data in bwDataArchive and allow the verification of the authenticity of the data set provided via the download link. The file "IASIAB_MUSICA_030201_L2pp_H2Oiso_v2_20180801_morning_global.nc" is an example of the data set and contains all morning data of 01 August 2018.
description: Metop IASI
description: Link to full data set download (https://www.imk-asf.kit.edu/english/musica-iasi-h2oiso-v2.php)
description: This product is an extension to the MUSICA IASI full retrieval standard product (DOI:10.35097/408)
DOI: 10.35097/505
title: MUSICA ISOWAT-II water isotopologue data

description: This data set consists of vertical profiles of water vapor (H2O) and its isotope ratio D/H expressed as δD(H2O) measured in-situ by the ISOWAT-II diode-laser spectrometer aboard an aircraft. The measurements were made between 150 and about 7000 m a.s.l., with a vertical resolution of 3 m, and during 7 days in July and August 2013 over the subtropical North Atlantic Ocean near Tenerife. The measurements were realized in the framework of the MUSICA (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water) project.
description: ISOWAT II
description: This data set is described in a paper of the journal Atmospheric Measurement Techniques (reference: https://doi.org/10.5194/amt-8-2037-2015)
DOI: 10.35097/454
title: POLSTRACC F14 ICECREAM

description: The data set presented here consists of a case study in the framework of the DFG-project ICECREAM (Analysis of high-latitude cirrus cloud feedbacks on the trace gas composition of the UTLS), and comprises observations of the trace gases water vapour (H2O), ozone (O3), nitric acid (HNO3) and clouds in the upper troposphere/lowermost stratosphere (UT/LMS) by the infrared remote sensing instrument GLORIA (Gimballed Limb Observer for Radiance Imaging of the Atmosphere), and the corresponding model data of dedicated simulations with the numerical weather prediction (NWP)-model ICON (ICOsahedral Nonhydrostatic) with the extension ART (Aerosols and Reactive Trace gases), and the chemistry-climate model (CCM) EMAC (ECHAM5/MESSy Atmospheric Chemistry). The data cover one research flight during the Arctic winter 2015/2016, when GLORIA was deployed on-board the German Research aircraft HALO (High Altitude and LOng range research aircraft) during the POLSTRACC (POLar STRAtosphere in a Changing Climate), GW-LCYCLE (Gravity Wave Life Cycle Experiment) II and SALSA (Seasonality of Air mass transport and origin in the Lowermost Stratosphere using the HALO Aircraft) (PGS) field campaign. This joint campaign probed the Arctic UT/LMS during different stages of the winter 2015/2016. The analysed research flight here, PGS 14, on 26 February 2016, covered deeply subsided air masses of the aged Arctic vortex, high-latitude LMS air masses, a highly textured troposphere-to-stratosphere exchange region, and high-altitude cirrus clouds. Therefore, it provides the opportunity to test state-of-the-art atmospheric model simulations in a complex UT/LMS region at a late stage of the Arctic winter 2015/2016. Details on the data are provided in the file “ReadMe.pdf”.
description: HALO GLORIA
description: ICON-ART
description: EMAC
DOI: 10.35097/495
title: Regular 1°x1° re-gridded MUSICA IASI water isotopologue pair dataset (a posteriori processing version 2)

description: This is a re-gridded Level-3 dataset of the MUSICA IASI water isotopologue pair product. It is based on the Level-2 datasets from the MUSICA IASI full retrieval (https://dx.doi.org/10.35097/408) and the a posteriori processed {H2O, δD} pairs (https://dx.doi.org/10.35097/415), which use the thermal nadir radiances measured by the IASI instrument aboard the Metop satellites. This Level-3 dataset consists of quality-filtered {H2O, δD} pair data re-gridded on a regular 1°x1° grid and interpolated on the fixed atmospheric altitude levels 3.0, 4.2 and 6.4 km above sea level. It provides H2O and δD (including their errors) as well as information about the atmospheric temperature and pressure and some metrics documenting the representativeness of the horizontally re-gridded data. The Level-3 data are provided globally and twice daily (morning and evening overpass times) and currently comprise the full period between October 2014 and December 2020 (leading to a data volume of about 22GB). Depending on available resources, this dataset will be updated to current measurements (for data availability updates please refer to the MUSICA IASI data web page https://www.imk-asf.kit.edu/english/musica-iasi-h2oiso-v2.php). Details on this dataset are summarized in the file "ReadMe.pdf".
description: Metop IASI
description: Information on the data used for generating this Level 3 Product (the MUSICA IASI water isotopologue dataset) is given on the web page (https://www.imk-asf.kit.edu/english/musica-iasi-h2oiso-v2.php)
description: The MUSICA IASI water isotopologue pair product is an extension to the MUSICA IASI full retrieval standard product (DOI:10.35097/408) and the MUSICA IASI MUSICA IASI water isotopologue pair product (a posteriori processing version 2) (DOI:10.35097/415)
DOI: 10.35097/831
title: SBUV ozone measurements for O3as service (v1: zonal means and monthly means of total columns)

description: Reduction of climate model total ozone columns to monthly and zonal means for use in time series and ozone recovery studies.
description: O3as service: https://o3as.data.kit.edu/
DOI: 10.35097/600
title: Ensemble Kalman-Filter-based seasonal runoff predictions for the Rio São Francisco River Basin

description: In semi-arid regions, interannual variability of seasonal rainfall and climate change is expected to stress water availability and increase the recurrence and intensity of extreme events such as droughts or floods. Local decision makers therefore need reliable long-term hydro-meteorological forecasts to support the seasonal management of water resources, reservoir operations and agriculture. In this context, an Ensemble Kalman Filter (EnKF) framework is applied to predict sub-basin-scale runoff employing global freely available datasets of reanalysis precipitation (ERA5-Land) as well as Bias-Corrected and Spatially Disaggregated seasonal forecasts (SEAS5-BCSD). Runoff is estimated using least squares predictions, exploiting the covariance structures between runoff and precipitation. This repository contains the runoff observations, the final EnKF-based runoff predictions, reference precipitation from ERA5-Land, bias-corrected and spatially disaggregated seasonal precipitation forecats from SEAS5-BCSD as well as shapefiles delineating the sub-basin-boundaries within the Rio São Francisco River Basin.
description: European Center for Medium Range Weather Forecasts (ECMWF), Copernicus, Brazilian National Water Agency (ANA)
DOI: 10.35097/588
title: Greenhouse Gas Mitigation Potential of Alternate Wetting and Drying for Rrice Production at National Scale – A Modelling Case Study for the Philippines

description: Worldwide, rice production contributes about 10% of total greenhouse gas (GHG) emissions from the agricultural sector, mainly due to CH4 emissions from continuously flooded (CF) fields. Alternate Wetting and Drying (AWD) is a promising crop technology for mitigating CH4 emissions and reducing the irrigation water currently being applied in many of the world's top rice-producing countries. However, decreased emissions of CH4 may be partially counterbalanced by increased N2O emissions. In this case study for the Philippines, the national mitigation potential of AWD is explored using the process-based biogeochemical model LandscapeDNDC. Simulated mean annual CH4 emissions under conventional rice production for the time period 2000 - 2011 are estimated as 1,180163 Gg CH4 yr-1. During the cropping season, this is about +16% higher than a former estimate using emission factors. Scenario simulations of nationwide introduction of AWD in irrigated landscapes suggest a considerable decrease of CH4 emissions by -23%, while N2O emissions are only increased by +8%. Irrespective of field management, at national scale the radiative forcing of irrigated rice production is always dominated by CH4 (&gt;95%). The reduction potential of GHG emissions depends on, e.g., number of crops per year, residue management, amount of applied irrigation water and sand content. Seasonal weather conditions also play an important role, since the mitigation potential of AWD is almost double as high in dry as compared to wet seasons. Furthermore, this study demonstrates the importance of temporal continuity, considering off-season emissions and the long-term development of GHG emissions across multiple years.
description: This study was conducted as part of the multidisciplinary research project ICON: ‘Introducing Non-Flooded Crops in Rice- Dominated Landscapes: Impacts on Carbon, Nitrogen and Water Cycles’. We thank the German Research Foundation (DFG) for its generous funding (FOR 1701, BU1173/13-1/2 and KI1431/3-1/2).
DOI: 10.35097/441
title: SaWaM region averages for SREP

description: Increasing frequencies of droughts require proactive preparedness, particularly in semi-arid regions. As forecasting of such hydrometeorological extremes several months ahead allows for necessary climate proofing, we assess the potential economic value of the seasonal forecasting system SEAS5 for decision making in water management. For seven drought-prone regions analyzed in America, Africa, and Asia, the relative frequency of drought months significantly increased from 10 to 30% between 1981 and 2018. We demonstrate that seasonal forecast-based action for droughts achieves potential economic savings up to 70% of those from optimal early action. For very warm months and droughts, savings of at least 20% occur even for forecast horizons of several months. Our in-depth analysis for the Upper-Atbara dam in Sudan reveals avoidable losses of 16 Mio US$ in one example year for early-action based drought reservoir operation. These findings stress the advantage and necessity of considering seasonal forecasts in hydrological decision making.
description: The dataset contains the time series (ensemble forecasts, reanalysis data) and shape files which have been used for computing the different indicators in the article "Seasonal forecasts offer economic benefit for hydrological decision making in semi-arid regions".
description: ECMWF ERA5
description: ECMWF SEAS5
description: HydroSHEDS