cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23729/9724a768-9e3f-4116-8b1d-a4010817eead
title: Data for "Assessing the climate and air quality effects of future aerosol mitigation in India using a global climate model combined with statistical downscaling"
title: Aineistot "Assessing the climate and air quality effects of future aerosol mitigation in India using a global climate model combined with statistical downscaling" julkaisua varten

description: The data files used in the "Assessing the climate and air quality effects of future aerosol mitigation in India using a global climate model combined with statistical downscaling" article which is published in Atmospheric Physics and Chemistry (Miinalainen et al., 2023). The setup files used in the ECHAM-HAMMOZ (HAMMOZ consortium, 2019) simulations are under the folder "ECHAM-HAMMOZ setup files", and the Python scripts are under the "Python data-analysis scripts and data" folder.
description: Tässä kansiossa sijaitsevat aineistot, joita käytettiin "Assessing the climate and air quality effects of future aerosol mitigation in India using a global climate model combined with statistical downscaling" tiedeartikkelissa. Artikkeli julkaistiin Atmospheric Physics and Chemistry - lehdessä (Miinalainen ym., 2023). Tiedostot, joissa määritellään ECHAM-HAMMOZ (HAMMOZ Konsortio, 2019) simulaatioiden parametrit, löytyvät kansiosta "ECHAM-HAMMOZ setup files". Python-koodit, joita käytettiin data-analyysiin, löytyvät kansiosta "Python data-analysis scripts and data".
DOI: 10.24400/527896/a01-2022.001
title: Dynamic Atmospheric Correction

description: Dynamic Atmospheric Correction based on Mog2D-G High Resolution barotropic model and an IB correction; year by year directories (1992 - ongoing), day by day groups of files, 4 files a day (12:00, 6:00, 12:00, 18:00 GMT); grid is a regular grid (0.25degx0.25deg)
DOI: 10.25326/164
title: W-Band Radar Measurements RV Meteor, EUREC4A

description: W-band 94 GHz Doppler cloud radar measurements collected on board the RV Meteor during the EUREC4A field campaign from 17.01.2020 to 19.02.2020 in the Caribbean Sea close to Barbados. The radar was mounted in a passive stabilization platform developed by the radar manufacturer Radiometer Physics GmbH Meckenheim, Germany. This platform corrected for the pitch and roll motion of the ship to assure that the radar was vertically pointing.
Retrieved variables include radar reflectivity, mean Doppler velocity, spectral width, skewness, kurtosis and linear depolarization ratio. In addition the radar uses a 89 GHz passive channel to measure the brightness temperature and retrieve the liquid water path.
Due to the heave motion of the ship the measured Doppler spectra contain a systematic error. This is corrected for by a post processing routine which was developed together with Claudia Acquistapace from University Cologne and will be described in more detail in Acquistapace et al., 2021. The corrected Doppler spectra are then dealiased and the mean Doppler velocity is calculated.
DOI: 10.25326/354
title: Sea2Cloud - Baring-Head - CPC - Level 0

description: This folder contains daily files of the aerosol total concentrations measured by condensaiton particle counters (CPC) abovre 10 nm at the Baring Head station, local time. From 22.7.2020 to 24.12.2020 the used model was TSI 3010 and from 24.12.2020 to 17.2.2021 it was model TSI 3760A. The inlet to the CPC was in total 268 cm long and 1/4" thick with the first 103 cm stainless steel and the rest silicon tubing.
DOI: 10.25326/53
title: Ceilometer Measurements RV Meteor, EUREC4A

description: Ceilometer measurements collected on the RV Meteor during the EUREC4A field campaign from 17.01.2020 to 19.02.2020.
DOI: 10.25326/56
title: African Anthropogenic Emissions Inventory for gases and particles from 1990 to 2015, DACCIWA

description: African Anthropogenic Emissions Inventory for gases and particles from 1990 to 2015.
DOI: 10.25925/20190812
title: Multi-laboratory compilation of atmospheric carbon dioxide data for the period 1957-2018; obspack_co2_1_GLOBALVIEWplus_v5.0_2019_08_12

description: A full list of all contributors for this product can be found at www.esrl.noaa.gov/gmd/ccgg/obspack/providerlist/obspack_co2_1_GLOBALVIEWplus_v5.0_2019-08-12.html.

This product is constructed using the Observation Package (ObsPack) framework [Masarie et al., 2014; www.earth-syst-sci-data.net/6/375/2014/]. The framework is designed to bring together atmospheric greenhouse gas (GHG) observations from a variety of sampling platforms, prepare them with specific applications in mind, and package and distribute them in a self-consistent and well-documented product. ObsPack products are intended to support GHG budget studies and represent a new generation of cooperative value-added GHG data products. This product includes 460 atmospheric carbon dioxide datasets derived from observations made by 54 laboratories from 21 countries. Data for the period 1957-2018 (where available) are included.
DOI: 10.4225/15/58eedf6812621
title: El Niño Southern Oscillation signal in a new East Antarctic ice core, Mount Brown South
DOI: 10.5066/f7rj4h0p
title: Landslides triggered by the May 12, 2008 Wenchuan Mw 7.9 earthquake of China

description: This inventory was originally created by Xu and others (2014) describing the landslides triggered by the M 7.9 Wenchuan, China earthquake that occurred on 12 May 2008 at 06:28:01 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory also could be associated with other earthquakes such as aftershocks or triggered events. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use.

With the exception of the data from USGS sources, the inventory data and associated metadata were not acquired by the U.S. Geological Survey (USGS) and thus have not been reviewed for accuracy and completeness by the USGS. They are presented as part of this data series for convenience of the user only, as part of an effort to make published ground-failure inventories more accessible from a single aggregated site. No warranty, expressed or implied, is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.
DOI: 10.5067/9sq1b3zxp2c5
title: GLDAS Noah Land Surface Model L4 monthly 0.25 x 0.25 degree, Version 2.0
DOI: 10.5067/atlas/atl08.005
title: ATLAS/ICESat-2 L3A Land and Vegetation Height, Version 5
DOI: 10.5067/iss/cats/l2o_d-m7.2-v3-01_05kmpro
title: CATS-ISS Level 2O D-M7.2 Version 3-01 05kmPro - HDF5 File
DOI: 10.5067/iss/cats/l2o_n-m7.2-v3-01_05kmlay
title: CATS-ISS Level 2O N-M7.2 Version 3-01 05kmLay - HDF5 File
DOI: 10.5067/iss/cats/l2o_n-m7.2-v3-01_05kmpro
title: CATS-ISS Level 2O N-M7.2 Version 3-01 05kmPro - HDF5 File
DOI: 10.5067/rcmza6tl70bg
title: MERRA-2 inst1_2d_lfo_Nx: 2d,1-Hourly,Instantaneous,Single-Level,Assimilation,Land Surface Forcings V5.12.4
DOI: 10.5281/zenodo.14115939
title: Using Radiogenic Noble Gas Nuclides to Identify and Characterize Rock Fracturing - Data

description: Data and data processing scripts associated with the paper:

"Using Radiogenic Noble Gas Nuclides to Identify and Characterize Rock Fracturing" 

submitted to Earth and Space Sciences.

Data and data processing scripts are given for each shot in a zipped archive.  Metadata describing data and dataprocessing scripts for each shot can be found in a README file in each archive.
DOI: 10.5281/zenodo.4322247
title: EPITOME ship emissions: Projections of shipping emissions towards 2050.

description: As part of the EPITOME project, we have setup global shipping emission scenarios. They are based on a combination of the global CO<sub>2</sub> ship emission inventory for 2015 produced with the Ship Traffic Emissions Assessment Model (STEAM) (Johansson et al., 2017) and Arctic fuel consumption and emission scenarios calculated with the DCE ship emission model (Winther et al., 2017). The scenarios include a Baseline scenario, a SO<sub>x</sub> Emission Control Area (SECA) and a heavy fuel oil (HFO) ban scenario. The Baseline scenario is calculated in two variants involving Business As Usual (BAU) and High Growth (HiG) traffic growths. The SECA and HFO ban scenarios are given with the BAU traffic development. Additionally a Polar route scenario is included, with new (diversion) ship traffic routes in the future Arctic with less sea ice. The applied traffic growths and the polar routes are Corbett et al. (2010). The emissions are monthly on a spatial resolution of 0.1º×0.1º. Base year is 2015 and the scenarios are for 2050. A scientific paper providing details on the methodology behind these data will be submitted to ACPD (Geels et al, submitted). In this paper we apply the data to assess the contribution from shipping emissions to air pollution in the Nordic and Arctic area and the potential benefits of the mitigation options included in the shipping emission scenarios. This paper should be referenced if the data is used. The data are given as netcdf files for a number of components. The emission related to the diversion routes is given as a separate field and can be added the other field. <br>
description: Acknowledgements Nordic Council of Ministers for funding the project Emissions from shiPs and the Impacts on human healTh and envirOnMEnt in the Nordic/Arctic - now and in the future (EPITOME).
description: {"references": ["Corbett, J. J., Lack, D. A., Winebrake, J. J., Harder, S., Silberman, J. A., and Gold, M.: Arctic shipping emissions inventories and future scenarios, Atmospheric Chemistry and Physics, 10, 9689-9704, 10.5194/acp-10-9689-2010, 2010.", "Geels, C., Winther, M., Andersson, C., Jalkanen, J-P., Brandt, J., Frohn, L. M., Im, U., Leung, W.,\u00a0 and Christensen, J. H., Projections of shipping emissions and the related impact on air pollution and human health in the Nordic region, submitted to ACPD.", "Johansson, L., Jalkanen, J.-P., and Kukkonen, J.: Global assessment of shipping emissions in 2015 on a high spatial and temporal resolution, Atmospheric Environment, 167, 403-415, https://doi.org/10.1016/j.atmosenv.2017.08.042, 2017.", "Winther, M., Christensen, J.H., Angelidis, I. and Ravn, E.S.:Emissions from shipping in the Arctic from 2012-2016 and emission projections for 2020, 2030 and 2050. Aarhus University, DCE \u2013 Danish Centre for Environment and Energy, 125 pp. Scientific Report from DCE \u2013 Danish Centre for Environment and Energy No. 252 http://dce2.au.dk/pub/SR252.pdf, 2017."]}
DOI: 10.5281/zenodo.4524632
title: One year of attenuation data from a commercial dual-polarized duplex microwave link with concurrent disdrometer, rain gauge and weather observations

description: The COmmercial Microwave links for urban rainfall MONitoring (CoMMon) field campaign dataset provides a wide range of data including 38-GHz dual-polarized commercial microwave link (CML) with temporarily shielded antenna radomes at a high temporal resolution (4 s). The campaign took place in Dübendorf, Switzerland between March 2011 and the end of March 2012. The authors decided to make available the data set of one 1.85 km long CML accompanied by five disdrometers and three rain gauges along. Additional data from two nearby airport weather stations and three MeteoSwiss weather stations are also provided. The CoMMon field campaign was performed by the Urban Water Management department (SWW) of Eawag (Swiss Federal Institute of Aquatic Science and Technology - Urban Water Management) and LTE, the Remote Sensing Lab of EPFL (Swiss Federal Institute of Technology).
DOI: 10.5281/zenodo.5793038
title: Datasets for "A unified framework to estimate the origins of atmospheric moisture and heat using Lagrangian models"

description: This repository contains the post-processed model outputs from HAMSTER v1.2.0 as used in the following paper: Keune, J., Schumacher, D. L., and Miralles, D. G.: A unified framework to estimate the origins of atmospheric moisture and heat using Lagrangian models, Geosci. Model Dev., 15, 1875–1898, https://doi.org/10.5194/gmd-15-1875-2022, 2022.<br> <br> The data set contains (1) global validation statistics for the three fluxes (evaporation, precipitation, sensible heat), and (2) the climatological source regions of precipitation and heat for Denver, Beijing and Windhoek. The former are found in the directory 'validation/global', and the latter are found in the directories '1001' (Denver), '3001' (Beijing) and '5002' (Windhoek). Multiple experiments were performed to assess the uncertainty of the source regions. Thus, multiple files exist, that show the same variables but for multiple experiments (indicated by the names "ALLPBL", "RH-10-20", "SOD08-SCH19", "SCH20", "FAS19" in the file name). For the moisture source regions, the uncertainty of the attribution methodology was assessed; these are indicated by the different folders, i.e. 'linear_upscaled' and 'random2_upscaled'. For each city and each experiment, the climatologically averaged source regions ('_mean.nc') and the climatologically averaged individual backward day contributions ('_bwmean.nc') are provided. Data sets are in the netCDF format and contain metadata following the CF convention.
description: If you use this data, please cite this paper: Keune, J., Schumacher, D. L., and Miralles, D. G.: A unified framework to estimate the origins of atmospheric moisture and heat using Lagrangian models, Geosci. Model Dev., 15, 1875–1898, https://doi.org/10.5194/gmd-15-1875-2022, 2022.
description: {"references": ["Keune, J., Schumacher, D. L., and Miralles, D. G.: A unified framework to estimate the origins of atmospheric moisture and heat using Lagrangian models, Geosci. Model Dev., 15, 1875\u20131898, https://doi.org/10.5194/gmd-15-1875-2022, 2022."]}
DOI: 10.5281/zenodo.6376025
title: Dataset for ACP by Hong et al., 2022

description: Our manuscript was submitted to ACP. Upon submission, all data must be accessible by anonymous access. Title: <strong>Measurement Report: Effects of anthropogenic emissions and environmental factors on biogenic secondary organic aerosol (BSOA) formation in a coastal city of Southeastern China</strong>
DOI: 10.5281/zenodo.7225303
title: Validation of a new spatially-explicit process-based model (HETEROFOR) to simulate structurally and compositionally complex stands in Eastern North-America : Dataset

description: This dataset is linked to the paper “Validation of a new spatially-explicit process-based model (HETEROFOR) to simulate structurally and compositionally complex stands in Eastern North-America" published in Geoscientific Model Development (https://doi.org/10.5194/gmd-16-1661-2023). It contains the installer of the model, its user guide, as well as all the input files (inventory, thinning, meteorology and soil horizons files for each stand used in the evaluation and calibration steps), the R scripts and associated data used to analyse the model outputs.
DOI: 10.5281/zenodo.7801591
title: Petersson Sjögren et al 2023 Biotrak Data Hyltemossa

description: Biotrak data collected at the Hyltemossa research station in Sweden between 6 Oct 2020 and 1 Apr 2022.
DOI: 10.5281/zenodo.7932734
title: Emission input data for WRF-Chem

description: Emission input data for WRF-Chem in eastern China during 2017.
DOI: 10.6096/aeroclo.1774
title: AEROCLO-sA F20 Lidar LNG aerosols

description: The airborne high spectral resolution (HSR) lidar LNG operated from the SAFIRE Falcon 20 during the AEROCLO-sA campaign. The aircraft was based in Walvis Bay, Namibia, and performed 10 flights for ~30 flight hours, from 5 to 12 September 2017.<br />
<br />
Observing strategy: <br />
LNG made observations of atmospheric reflectivity at 3 wavelengths: 355, 532 and 1064 nm. In addition, LNG measures polarized signal at 355 nm.<br />
<br />
LNG operated mostly in nadir pointing mode while the aircraft was flying around 8 to 10 km amsl. LNG also made zenith pointing measurements when the Falcon was performing downward spirals (sometimes down to the surface) for the sake of in situ sampling and measurements by the airborne sunphotometer PLASMA located on top of the aircraft.
DOI: 10.15784/601552
title: AMIGOS-III Cavity and Channel Snow Height and Thermistor Snow Temperature Data

description: Campbell Scientific data loggers with eight platinum resistance thermometers (PRTs) and an acoustic snow height detector were installed as part of the AMIGOS-III instrumentation (AMIGOS: Automated Meteorology Ice Geophysics Observing System) The data are hourly reports of snow and near-surface air temperatures at different depths. At Cavity AMIGOS site, snow temperatures at ~1.2 meters depth (four PRTs) were used to provide reference temperatures for a coil of Distributed Thermal Sensing (DTS) fiber optic cable. At both sites, PRTs were attached to the tower (wrapped in reflective metal foil tape) as a means of investigating inversion strength and snow burial. At both sites, hourly snow height data using an acoustic sensor placed (initially) at 6.75 meters above the snow on a sensor cross-arm were acquired. A correction based on separately-measured air temperature was applied as per Campbell Scientifics correction algorithm. Both snow height sensors failed after just over one year (Cavity) or 10 months (Channel). Thermistor data continued to be acquired for 13 months (Cavity) or 19 months (Channel) The two sites latest positions (01 Oct, 2021) are: Cavity AMIGOS: 75.037°S, 105.58°W Channel AMIGOS: 75.049°S, 105.44°W both stations are moving NNE at roughly 850 m.yr, having accelerated from about 650 m/yr in early 2020.
DOI: 10.1594/pangaea.919945
title: LES results to accompany measurements at the POLARSTERN Research Vessel during the PASCAL field campaign on 6 June 2017

description: This archive contains Large Eddy Simulation (LES) results to accompany measurements made at the Polarstern Research Vessel during the PASCAL field campaign on 6 June 2017, when the Polarstern was located in the sea ice north of Svalbard. The Dutch Atmospheric Large-Eddy Simulation model (DALES) was applied, adopting a Lagrangian framework that follows domains as embedded in relatively warm air masses as they moved towards the Polarstern. The simulated doubly periodic domain has a size of 2.56x2.56x1.28 km, discretized at a resolution of 20x20x10 m. The domain arrives at the Polarstern at 10:52 UTC on 6 June 2017 coinciding with a radiosonde release. The Polarstern was located at 10.84 E, 81.95 N.The large-scale forcings are derived from ECMWF analysis and forecast data. Adjustments were made in the initial profiles to correct for biases in the analysis state concerning inversion height, mixed layer temperature and the presence of Specific Humidity Inversions (SHI). This adjustment technique is described in detail by Neggers et al. (2019, doi:10.1029/2019MS001671). Two experiments are included in this archive: a control experiment including an SHI, and an additional experiment with the SHI removed. The configuration of the experiments is fully described by Egerer et al. (2020, doi:10.5194/acp-2020-584).
DOI: 10.17632/jc8wtyx5sg.1
title: Modelling the impacts of iodine chemistry on the northern Indian Ocean marine boundary layer

description: These are the analysis data and codes for the publication Modelling the impacts of iodine chemistry on the northern Indian Ocean marine boundary layer by Mahajan et al (Atmos. Chem. Phys., 21, 1–18, 2021 https://doi.org/10.5194/acp-21-1-2021) The output folders contain the individual species outputs from WRF-Chem for the HAL, BASE and orgI scenarios as defined in the paper. The python code contains the code for the extraction of the data from the WRF-Chem output. The ship-based data used for the validation of the model outputs are in a subfolder called campaign_data The original WRF-Chem outputs are approximately 10 GB in size for each scenario, and are available on request as they were too large for the repository.
DOI: 10.23708/02pok6
title: Simbi database: historical hydro-meteorological time series and catchment attributes in Haiti, 1905-2005

description: Haiti is highly exposed to hydro-climatic hazards. However, no database exists for the scientific community to characterize these hazards. To fill this gap, hydro-climatic data were compiled to create the first historical database in Haiti. This database, called Simbi, will contribute to a better knowledge of Haitian catchment hydrology. Simbi provides hydro-climatic records for 24 Haitian catchments, available both at the monthly and daily timestep over the 1920-1940 period. Both observed and simulated (using rainfall-runoff models) streamflow series are available for each catchment. Additionally, the Simbi database contains (i) 156 monthly rainfall series over the 1905-2005 period, (ii) 59 daily rainfall series over the 1920-1940 period, and, (iii) 37 daily rainfall series over the 1948-1966 period, and (iv) 70 daily streamflow series and (v) 23 monthly air temperature series over the period 1920-1940. Digitization of paper archives received support from Fonds pour la Recherche et le Développement de la BRH (Haiti)
DOI: 10.25326/355
title: Sea2Cloud - Baring-Head - PSM - Level 2

description: This file contains the aerosol total concentrations measured by a Particle Size Magnifyier (PSM) at a 30 min resolution at the Baring Head station, local time. During 12.6.2020-17.9.2020 for two different lower size cut: 1nm and 3 nm. We used a model A09 with supersaturation fixed at 1 lpm (1 nm size cut). Then, during 17.9.2020–17.2.2021, we used an A11 PSM in stepping mode with saturation flow rate switching between 0.1 (3 nl size cut) and 1 lpm (1 nm size cut) every 60 s. The inlet to the PSM was a 122 cm long 1/4" stainless steel tube. The first 103 cm of this inlet was shared with the CPC to increase the flow rate through the inlet, because increasing the total flow rate from 2.5 to 3.5 lpm decreases the particle losses due to diffusion in an inlet with this diameter.
DOI: 10.25326/356
title: Sea2Cloud - Baring-Head SMPS - Level 0

description: This folder contains daily file of the aerosol size distribution measured by a custom-made DMPS (references Schwier et al. 2015, Schwier et al. 2017) , CPC type TSI in 64 channels for aerosol diameters ranging form 10 to 500 nm at the Baring Head station, local time. Measurements performed behing the main aerosol inlet.
DOI: 10.25835/0068421
title: PALM 6.0 r4093

description: Source code of the PALM model system 6.0 in revision 4093 with a passive3 chemistry mechanism and a one small correction in the chemical module
DOI: 10.48670/moi-00047
title: Global Ocean Surface Carbon
DOI: 10.5067/342ohqm9ak6q
title: GLDAS Noah Land Surface Model L4 3 hourly 0.25 x 0.25 degree, Version 2.0
DOI: 10.5281/zenodo.12794463
title: Subset of stochastically generated interacting molecules for CH GAP interatomic potential

description: This is a subset of the dataset used to train general-purpose CH GAP interatomic potential [1].

This subset contains the interacting molecules generated stochastically in a following manner. The subset is generated using active learning and uncertainty-based configuration selection. We started with randomly chosen pairs of CH-containing molecules from the QM9 database up to 7 carbon atoms. The probability of selecting the molecules is set based on the energy and size of the molecule.  The probability is lower as the energy above the convex hull is higher.  A bigger size of the molecule also lowers the probability to favor the inclusion of small structures. Then, we estimate the uncertainties for the new structures based on how far away from the existing interacting molecules in the training set they are (in configuration space), and identify those with the largest expected errors. This way, we generated about 3k structures.