cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10726619
title: Age-depth model ensembles for SISAL v3 speleothem records

description: Depth-age model ensembles created for the SISAL database v3 (version for publication), in supplement to Kaushal et al., 2024  and building on Comas-Bru, Rehfeld, Roesch et al., 2020.

This upload includes ensemble data for 5 methods (interpolation, linear regression, copRa, Bchron and Bacon) created following the protocol  in previous versions but for newly included entities in the database.

Each file contains a matrix with the first column giving the row number, the second the SISAL v3 sample ID, the third the depth in the speleothem (in mm), and the fourth to 2003rd column contains the 2000 age model ensemble members.
description: SISAL (Speleothem Isotopes Synthesis and Analysis) is a working group of the Past Global Changes (PAGES) programme. We thank PAGES for their support for this activity. KR acknowledges the Deutsche Forschungsgemeinschaft (DFG) through the Emmy Noether programme (code RE3994-2/1) for funding.
DOI: 10.5281/zenodo.10968462
title: HSTCM-NO2

description: A Global Daily High Spatial-temporal Coverage Merged Tropospheric NO2 dataset (HSTCM-NO2) from 2007 to 2022 based on OMI and GOME-2

This dataset is the end product of a reconstruction of global NO2.

The product was made using OMI (OMNO2), GOME-2 and other data. The method includes machine learning (XGBoost) and gap filling (DINEOF). The new reconstructed product (HSTCM-NO2) is compared with MAX-DOAS and TROPOMI to establish both concentration validatity, and spatial-temporal coherence.
DOI: 10.5281/zenodo.12201243
title: Processed model outputs for "South Asian summer monsoon enhanced by the uplift of Iranian Plateau in Middle Miocene"

description: This dataset contains processed model outputs from modeling experiments performed in Zuo et al. (2024), including a set of 12 experiment with different CO2 concentrations and topography during the Middle Miocene. Due to space limitations, we provide the summer(JJA) mean climatology data for each experiment and some data that can be used to reproduce the figures in this paper. The raw data can be obtained by contacting the corresponding author.

Table 1. Simulations performed with CESM1.2 in this study.






experiment



Geolography



vegetation



CO2

(ppm)



IP



HM





piControl



Modern



Modern



280 



Modern



Modern





MMIO

(IP100HM80)



M.Miocene*



M.Miocene



400



M.Miocene



M.Miocene





IP0HM0



M.Miocene



M.Miocene



400



0



0





IP50HM0



M.Miocene



M.Miocene



400



50%



0





IP100HM0



M.Miocene



M. Miocene



400



100%



0





IP0HM100



M.Miocene



M.Miocene



400



0



100%**





IP50HM100



M.Miocene



M.Miocene



400



50%



100%





IP100HM100



M. Miocene



M. Miocene



400



100%



100%





MMIO280



M. Miocene



M.Miocene



280



M. Miocene



M.Miocene





MMIO560



M. Miocene



M.Miocene



560



M. Miocene



M.Miocene





MMIO800



M. Miocene



M.Miocene



800



M. Miocene



M.Miocene





MMIO1000



M.Miocene



M.Miocene



1000



M. Miocene



M.Miocene





*M.Miocene: Middle Miocene

** 100% of the height of modern HM.
DOI: 10.5281/zenodo.13375402
title: Data for Improving propulsive efficiency using bio-inspired intermittent locomotion

description: Raw and processed data for the manuscript: Improving propulsive efficiency using bio-inspired intermittent locomotion

Contains both static and free propulsion measurements
DOI: 10.5281/zenodo.14517811
title: The adaptive value of recombination in resolving intralocus sexual conflict by gene duplication.

description: Datasets and code for the study titled "The adaptive value of recombination in resolving intralocus sexual conflict by gene duplication".
DOI: 10.5281/zenodo.3997140
title: Rosalia: An experimental research site to study hydrological processes in a forest catchment - data repository

description: This repository is a supplement to the paper <strong>Fürst, J., et al. (2021). “Rosalia: an experimental research site to study hydrological processes in a forest catchment.” Earth Syst. Sci. Data 13(8): 4019-4034.</strong> Experimental watersheds have a long tradition as research sites in hydrology and have been used as far back as the late 19<sup>th</sup> and early 20<sup>th</sup> century. The University of Natural Resources and Life Sciences Vienna (BOKU) has been operating the experimental research forest site called “Rosalia” with an area of 950 ha since 1875 to support and facilitate research and education. Recently, BOKU researchers from various disciplines extended the “Rosalia” instrumentation towards a full ecological-hydrological experimental watershed. The overall objective is to implement a multi-scale, multi-disciplinary observation system that facilitates the study of water, energy and solute transport processes in the soil-plant-atmosphere continuum. This repository contains the datasets collected by a monitoring network of 4 discharge gauging stations, 7 rain-gauges, together with observations of air and water temperature, relative humidity and conductivity. In four profiles, soil water content and temperature are recorded in different depths. In 2019, additionally a program to collect isotopic data in precipitation and discharge was started. On one site, also Nitrate, TOC and turbidity are monitored. All data collected since 2015, including in total 56 high resolution time series data (10 min sampling interval), are provided to the scientific community.
description: Updates are planned annually, as soon as the raw data of the previous year are checked for plausibility.
DOI: 10.5281/zenodo.4542544
title: The updated dataset of figures for "The GPU version of LICOM3 under HIP framework and its large-scale application"

description: A high-resolution (1/20°) global ocean general circulation model with Graphics processing units (GPUs) code implementations is developed based on the LASG/IAP Climate system Ocean Model version 3 (LICOM3) under Heterogeneous-compute Interface for Portability (HIP) framework. The dynamic core and physics package of LICOM3 are both ported to the GPU, and 3-dimensional parallelization is applied. The HIP version of the LICOM3 (LICOM3-HIP) is 42 times faster than the same number of CPU cores when 384 AMD GPUs and CPU cores are used. The LICOM3-HIP has excellent scalability; it can still obtain a speedup of more than four on 9216 GPUs comparing to 384 GPUs. In this phase, we successfully performed a test of 1/20° LICOM3-HIP using 6550 nodes and 26200 GPUs, and at the grand scale, the model’s time to solution can still obtain an increasing, about 2.72 simulated years per day (SYPD). The high performance was due to putting almost all of the computation processes inside GPUs, reducing the time cost of data transfer between CPUs and GPUs. Simultaneously, a 14-year spin-up integration following phase 2 of the Ocean Model Intercomparison Project (OMIP-2) protocol of surface forcing has been conducted, and the preliminary results have been evaluated. We found that the model results have little difference from the CPU version. Further comparison with observations and lower-resolution LICOM3 results suggests that the 1/20° LICOM3-HIP can reproduce the observations and produce many smaller-scale activities, such as submesoscale eddies and frontal scales structures.
DOI: 10.5281/zenodo.4782116
title: Annual mass balance time series for the Tien Shan and Pamir from 2000 to 2018

description: Annual mass time series for Central Asia were calculated using the transient snowline position and its rate of change during the ablation season to constrain the winter snow accumulation and the melt parameters of a distributed accumulation and temperature-index model for each glacier and year individually. This method is based on Barandun et al., 2018, TC and was regionally applied in Barandun et al., accepted, GRL (GRL mannuscript identifier: 2020GL092084). The transient snowline on a glacier marks the transition between the ice and snow surface, thus approximates the zero-mass balance line of the glacier during the ablation season. The snowline is hence a proxy for the surface mass balance. Automatic snowline mapping at the scale of individual glaciers on over 3,000 Landsat surface reflectance products provided a total of 255,000 snowlines from 2000 to 2018 for the region. As a second-order calibration, we calculated geodetic mass balances using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) scenes and High Mountain Asia Digital Elevation Models (HMA DEMs). Our mass balance calculations, tied to transient snowline observations, provided annual mass balance time series for 1,222 (61%) glaciers greater than 2km<sup>2</sup> located in the Tien Shan and Pamir. Details on the methods can be found in: Barandun, Martina, Matthias Huss, Ryskul Usubaliev, Erlan Azisov, Etienne Berthier, Andreas Kääb, Tobias Bolch, and Martin Hoelzle. "Multi-decadal mass balance series of three Kyrgyz glaciers inferred from modelling constrained with repeated snow line observations." <em>The Cryosphere</em> 12, no. 6 (2018): 1899-1919. These annual time series have been presented in: Barandun, Martina, Eric Pohl, Kathrin Naegeli, Robert McNabb, Matthias Huss, Etienne Berthier, Tomas Saks and Martin Hoelzle. "Hot spots of glacier mass balance variability in Central Asia". Geophysical Research Letters, accepted (GRL mannuscript identifier: 2020GL092084).
DOI: 10.5281/zenodo.5012621
title: Annual Maxima of Station-based Rainfall Data over Different Accumulation Durations

description: <strong>Description</strong> These data were used in the study "Flexible and Consistent Quantile Estimation for Intensity-Duration-Frequency Curves" (Fauer et al., 2021). Rainfall data were collected from stations by the German Meteorological Service (DWD) and Wupperverband (corrected data). Raw time series data from the German Meteorological Service is publicly available under https://opendata.dwd.de/climate_environment/CDC/observations_germany/climate/. Only the annual precipitation maxima over different durations are published here. <strong>Files</strong> <strong>yearMax.csv:</strong> This file contains aggregated rainfall data over different durations and for different stations. <strong>meta.csv:</strong> This file contains additional information of the different stations such as longitude, latitude, altitude, temporal resolution (m=minutely, h=hourly, d=daily), group. The same group is assigned to stations which have a distance of less than 250 meters and can be treated as one station. <br> <strong>Abstract of the according study</strong> We suggest a flexible parametric model for describing intensity duration frequency relationships (IDF-curves) in a consistent way, i.e., without crossing of different quantiles for a wide range of durations (1 min to 5 days). The model is based on the duration-dependent formulation of the generalized extreme value distribution (GEV). The original model shows a power-law like behaviour for the quantiles for a wide range of durations and takes care of a deviation from this scaling relation (curvature) for small durations. We extend the model with two features: i) different power-law exponents for different quantiles (multiscaling) and ii) deviation from the power-law for large durations (flattening). Based on the quantile skill score, we investigate the performance of the resulting flexible model with respect to the benefit of the individual features (curvature, multiscaling, flattening) with simulated and empirical data. We provide detailed information on the duration and probability ranges for which specific features or a systematic combination of features leads to improvements for stations in a case study area in the Wupper catchment (Germany). Our results show that allowing curvature or multiscaling improves the model only for very short or long durations, respectively, but leads to disadvantages in modeling the other duration ranges. In contrast, allowing flattening on average leads to an improvement for medium durations between 1 hour and 1 day without affecting other duration regimes. Overall, the new parametric form offers a flexible and performant model for consistently describing IDF relations over a wide range of durations. <strong>Acknowledgements</strong> We would like to thank the German Weather Service (DWD), and the Wupperverband, especially Marc Scheibel, for maintaining the station-based rainfall gauge and providing us with data.
DOI: 10.5281/zenodo.6517730
title: Development and evaluation of a method to identify potential release areas of snow avalanches based on watershed delineation - source data

description: Full data files for the paper: Duvillier, C., Eckert, N., Evin, G., and Deschâtres, M.: Development and evaluation of a method to identify potential release areas of snow avalanches based on watershed delineation, Nat. Hazards Earth Syst. Sci., 23, 1383–1408, https://doi.org/10.5194/nhess-23-1383-2023, 2023. Can be used to reproduce all the results of the paper and for further benchmarking of snow avalanche potential release area detection methods.
DOI: 10.5281/zenodo.6629417
title: Data and source code for "Spherical Air Mass Factors in One and Two Dimensions with SASKTRAN 1.6.0"

description: Supplementary data for "Spherical Air Mass Factors in One and Two Dimensions with SASKTRAN 1.6.0": source: source code and data required to reproduce all figures amf-tables: data in NETCDF4 format for the air mass factor tables discussed in Section 5, which were used in the following publications by Griffin et al.: "High-Resolution Mapping of Nitrogen Dioxide With TROPOMI: First Results and Validation Over the Canadian Oil Sands" (2018, https://doi.org/10.1029/2018GL081095) "Biomass burning nitrogen dioxide emissions derived from space with TROPOMI: methodology and validation" (2021, https://doi.org/10.5194/amt-2021-223)
DOI: 10.5281/zenodo.7169689
title: The natural abundance of stable water isotopes method may overestimate deep-layer soil water use by trees

description: The dataset is the basic data of the author's paper 'The natural abundance of stable water isotopes method may overestimate deep-layer soil water use by trees'. The main content of this paper is to study the water use strategy of trees in deep vadose zone regions by first identifying the soil layer depths from which trees derive their water source using isotopic labeling in deep layers and then calculating water sources based on the natural abundance of stable isotopes. We also compared the results with the natural abundance of stable water isotopes method. Taking apple plantation as an example, the data set includes the soil moisture, isotopic value in soil water, xylem water and precipitation.
DOI: 10.5281/zenodo.7309360
title: Energy-related CO2 Emission Accounts and Datasets for 40 Emerging Economies in 2010 - 2019

description: The Carbon Emission Accounts and Datasets for emerging economies (CEADs, https://ceads.net) aims to provide transparent, verifiable, open-access data on the CO<sub>2</sub> emissions of 40 emerging economies (accounting for 17.5% of the emissions and 12.9% of GDP of the world) for the period 2010-2019. Given the variety of statistical capacity among these countries, we standardized sectors using relevant data on energy and economic statistics and compiled emissions inventories at the regional level using sub-national statistics. For energy-related data, we included emissions from burning biomass, given its significance as an emissions source in these economies. The emissions dataset covers 47 economic sectors and 8 major energy categories in the 40 emerging economies, and in 28 we provide a subnational inventory. The emissions inventories are compiled for 47 economic sectors and 8 major categories.
DOI: 10.5281/zenodo.7731486
title: Data for aerosol simulations by NICAM.19 with a global 14-km grid resolution

description: These data are a set of simulations using a global aerosol model, NICAM.19, over 1 year with 14-km grid spacing. The data are used in the following manuscript:<br> Goto, D., Seiki, T., Suzuki, K., Yashiro, H., Takemura, T.: Impacts of cloud microphysics schemes on aerosol fields in NICAM.19 with a global 14-km grid resolution, submitted to Geosci. Model Dev.
DOI: 10.5281/zenodo.7875629
title: Datasets associated with the publication: "The three-dimensional structure of fronts in mid-latitude weather systems in numerical weather prediction models".

description: ECMWF HRES and ERA5 datasets for the paper "The three-dimensional structure of fronts in mid-latitude weather systems in numerical weather prediction models". Content: ======================================================================================== Storm Friederike: ECMWF HRES forecast, 18.01.2018 00:00 UTC - 23:00 UTC, hourly, GRIB-format. ECMWF ERA5 reanalysis, 16.01.2018 12:00 UTC - 19.01.2018 00:00 UTC, twelve-hourly data, GRIB-format. ======================================================================================== Storm Vladiana: ECMWF HRES analysis, 23.09.2016 00:00 UTC - 23.09.2016 00:00 UTC, six-hourly data, rotated North Pole (latitude: 51˚, longitude: 160˚), NetCDF-format. ======================================================================================== Storm Egon: ECMWF ERA5 reanalysis, 12.01.2017 00:00 UTC - 13.01.2017 06:00 UTC, six-hourly data, GRIB-format.
description: Licences: ECMWF HRES (c) ECMWF, retrieved from MARS catalogue: https://www.ecmwf.int/en/forecasts/datasets/set-i , used under Creative Commons Attribution-4.0 International (https://creativecommons.org/licenses/by/4.0/legalcode). ECMWF ERA5: Generated using Copernicus Climate Change Service information 2023, https://www.ecmwf.int/en/forecasts/dataset/ecmwf-reanalysis-v5
DOI: 10.5440/1671794
title: L0 Data from the 2018 NGEE Arctic LiDAR and Imagery Unoccupied Aerial System Campaign at the Teller 47 Field Site, Seward Peninsula, Alaska

description: Airborne remote sensing data collected from Los Alamos National Laboratory's (LANL) heavy-lift unoccupied aerial system (UAS) hexacopter platform operated by NGEE Arctic scientists from EES-14 (Earth System Observations group) at Los Alamos National Laboratory. These data were collected in July 2018 at a field site near mile marker 47 along the Teller road between Nome, Alaska and Teller, Alaska. A DJI Matrice 600 Pro Airframe and Routescene UAV LiDARSystem was used to collect LiDAR data, and DJI Phantom 4 Advanced was used to collect optical red/green/blue (RGB) imagery at regular intervals along 11 flight paths. This data package contains unprocessed data products (processing level 0) including flight paths, raw photos, and raw lidar data files (*.kml, *.jpg, and *.lpd formats). Ancillary aircraft data, flight mission parameters, and general flight conditions are also included (see Supplemental Files, *.rinex, and *.rtcm3 files).The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy’s Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy’s Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.6084/m9.figshare.24790872
title: Monitoring and dynamically controlling glucose uptake rate and central metabolism

description: Datasets
DOI: 10.6084/m9.figshare.25874386
title: Sangji University Campus Tree Map (2024): Raw data

description: This is a raw data set of the campus tree inventory (csv) and map (ESRI shapefile) of Sangji University, South Korea. Please refer to the SJ Campus Tree Map webpage: https://doi.org/10.23065/felsj.2021.sjctm.01
DOI: 10.7265/n54m92h3
title: Major Ion Concentrations in WDC05Q and WDC06A Ice Cores (WAIS Divide)
DOI: 10.1594/pangaea.736909
title: Isoprenoidal GDGT and alkenone-based proxies of sediment core GeoB7702-3
DOI: 10.17632/j8bzd5dvpx.1
title: IPB-MSA&SO4: In-situ Produced Biogenic Methanesulfonic Acid and Sulfate over the North Atlantic

description: The dataset includes daily in-situ produced biogenic methanesulfonic acid and sulfate concentrations at sea level over the North Atlantic from 01/01/1998 to 31/12/2022, which was generated based on Gaussian process regression (GPR) machine learning algorithm by combining in-situ observations of sulfur aerosol data at Mace Head research station, west coast of Ireland, and from NAAMES cruises in the NW Atlantic, combined with the constructed sea-to-air dimethylsulfide flux (https://doi.org/10.1016/j.scitotenv.2023.162123) and ECMWF-ERA5 (https://doi.org/10.24381/cds.adbb2d47) reanalysis datasets.

This dataset is discussed in a manuscript titled "IPB-MSA&SO4: a daily 0.25° resolution dataset of In-situ Produced Biogenic Methanesulfonic Acid and Sulfate over the North Atlantic during 1998–2022 based on machine learning" by Mansour et al. (2023), which is currently under review in the "Earth System Science Data (ESSD)" Journal. 

Details of the data description can be found in the pdf file: Data description of IPB-MSA&SO4.pdf

Corresponding author: Karam Mansour (k.mansour@isac.cnr.it)
DOI: 10.5281/zenodo.6945344
title: Air quality data from the article "Typhoon-associated air quality over the Guangdong–Hong Kong–Macao Greater Bay Area, China: machine learning-based prediction and assessment"

description: This dataset consists of 13 files. The descriptions of the files are as follows: aqi_TY.csv, pm25_TY.csv, pm10_TY.csv, so2_TY.csv, no2_TY.csv and o3_TY.csv are the observed values of AQI and concentrations of PM<sub>2.5</sub>, PM<sub>10</sub>, SO<sub>2</sub>, NO<sub>2</sub> and O<sub>3</sub> in the GBA on TY days. The time range is June 2014 to December 2020. aqi_NTY.csv, pm25_NTY.csv, pm10_NTY.csv, so2_NTY.csv, no2_NTY.csv and o3_NTY.csv are the observed values of AQI and concentrations of PM<sub>2.5</sub>, PM<sub>10</sub>, SO<sub>2</sub>, NO<sub>2</sub> and O<sub>3</sub> in the GBA on NTY days. The time range is June 2014 to December 2020. station_info.csv is the detailed information of the monitoring stations, including station number, city, longitude and latitude.
DOI: 10.12770/aafce3aa-bddf-4c3d-bee6-90b3182c4c35
title: MEDSEA_CH5_Product_4 / Impact of fisheries on the bottom from VMS data combined with habitat vulnerability

description: to deliver maps showing the extent of the trawling fishing grounds for identifying the areas which are most disturbed by bottom trawling and the changes in level of disturbance over the past ten years and identifying the gaps of fishing vessels’ tracking systems in the Mediterranean Sea
DOI: 10.1594/pangaea.924502
title: High-resolution daily series (1980 - 2018) and monthly climatologies (1981 - 2010) of mean temperature and precipitation for Trentino - South Tyrol (north-eastern Italian Alps)

description: The dataset contains the gridded daily series and the gridded monthly climatologies of mean temperature and precipitation at 250-m spatial resolution for the region Trentino-South Tyrol (north-eastern Italy). The daily series span the period 1980 - 2018, while the climatologies were computed over the 30-year period 1981 - 2010. The whole dataset was obtained by an interpolation procedure based on a dense and quality-checked archive of in-situ observations. The input data were derived from the regional meteorological station networks managed by Meteotrentino and the Hydrological Office of the Province of Bolzano. The gridded mean temperature represents the average of minimum and maximum daily temperature values.