cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7578991
title: Simulations of stratocumulus cloud fields using RAMS model

description: The simulations of the stratocumulus are performed with a domain size of km ( bin points) for 3 hours. The horizontal resolution is fixed at 100 m, and the vertical bin spacing is 50 m. The initial state of the simulations (DYCOMS-II case) is based on vertical profiles of potential temperature, moisture, and horizontal winds, that were adapted from Stevens et al. (2003). From these initial fields, 4 additional simulations are carried out by slightly modifying the temperature profiles to check their effects on the stratocumulus field and notably on entrainment rates. In addition, one extra simulation is realized by modifying the humidity profile. In summary, these 6 simulations are as follows: case 1) ‘Control’ is the basic simulation with the unmodified fields; case 2) ‘Control + layer 150 m’ is as ‘Control’ but the temperature inversion is 150 m above that of ’Control’ (less brutal than ‘Control’), expecting more entrainment; case 3) ‘Control + layer 300 m’ is as ‘Control’ but the temperature inversion is 300 m above that of ’Control’; case 4) ‘Control - 4K’ is as ‘Control’ but with a smaller temperature inversion, expecting more mixing; case 5) ‘Control + 4K’ is as ‘Control’ but with a stronger temperature inversion; and case 6) ‘Extra’ is as ‘Control’ but initialized using a slightly modified water vapor profile. Detailed application of the datasets is described in our under reviewing paper (Shang et al 2022). Reference: Shang, H., Hioki, S., Penide, G., Cornet, C., Letu, H., and Riedi, J.: Establishment of an analytical model for remote sensing of typical stratocumulus cloud profiles under various precipitation and entrainment conditions, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2022-674, in review, 2022. Stevens, B., Lenschow, D. H., Vali, G., Gerber, H., Bandy, A., Blomquist, B., Brenguier, J.-L., Bretherton, C. S., Burnet, F., Campos, T., Chai, S., Faloona, I., Friesen, D., Haimov, S., Laursen, K., Lilly, D. K., Loehrer, S. M., Malinowski, S. P., Morley, B., Petters, M. D., Rogers, D. C., Russell, L., Savic-Jovcic, V., Snider, J. R., Straub, D., Szumowski, M. J., Takagi, H., Thornton, D. C., Tschudi, M., Twohy, C., Wetzel, M., and van Zanten, M. C.: Dynamics and Chemistry of Marine Stratocumulus—DYCOMS-II, Bulletin of the American Meteorological Society, 84, 579-594, 10.1175/BAMS-84-5-579 %J Bulletin of the American Meteorological Society, 2003.
DOI: 10.1594/pangaea.936099
title: Day-to-day changes in the snow surface height derived from digital elevation models at the EGRIP camp site in 2018

description: Day-to-day changes derived from digital elevation models which are generated using a photogrammetry Structure-from-Motion approach covering an area of 39 x 5m (195m^2) next to the deep drilling site of the East Greenland Ice Core Project (EGRIP) in northeast Greenland. Data cover the time period from 16th of May (Day of observation period (DOP) 1) to 1st of August 2018 (DOP 78).
DOI: 10.17632/3dx6pnx869.1
title: Cloud condensation nuclei and hygroscopic growth measurement at Mace Head from 2009 to 2010

description: This dataset reports the results of in situ measurements of cloud condensation nuclei (CCN) number concentration, aerosol chemical composition, aerosol hygroscopic growth factor, particle number size distribution collected from 2009 to 2010 at Mace Head Research Station(53.33° N, 9.90 °W; 21m a.m.s.l; 300m from the waterline). This dataset is discussed in a manuscript titled "The impact of aerosol size-dependent hygroscopicity and mixing state on the cloud condensation nuclei over the Northeast Atlantic" by "Wei Xu, Kirsten. Fossum, Jurgita Ovadnevaite, Chunshui Lin, Ru-Jin Huang, Colin O’Dowd, Darius Ceburnis" which is submitted to Atmospheric Chemistry and Physics.
DOI: 10.17864/1947.194
title: Modern pollen data for climate reconstructions, version 1 (SMPDS)

description: The dataset contains percentage counts for the 247 most important European pollen taxa from individual modern samples from Europe and northern Eurasia, and supporting metadata about each sample. The dataset has been specifically designed for use for quantitative climate reconstructions.
description: We have assembled modern pollen records from 6458 terrestrial sites from Europe, northern Africa, the Middle East and Eurasia, compiled from multiple different published sources.
description: The taxonomy was standardised using Plants of the World Online (www.plantsoftheworldonline.org/) and the Integrated Taxonomic Information System (https://www.itis.gov/). Obligate aquatics, insectivorous plants, cultivated plants and non-native species are not included in the data set, since their distribution is not primarily controlled by climate. Some pollen types have been combined to a higher taxonomic level because they were not routinely identified across all the sites or because they occurred in too few sites to allow the construction of robust relationships with climate. The pollen data were transformed from raw counts to relative abundance, based on a pollen sum that includes all the taxa in the assemblage.
DOI: 10.24400/527896/a01-2022.017
title: CNES_CLS 2022 Mean Sea Surface

description: The mean sea surface MSS_CNES_CLS2022 has been computed using a 29-year [1993-2021] period of altimetric data. As usually, the mean profiles from ERM (Exact Repeat Mission) missions (T/P, J1, 2, 3, ERS-2, Envisat, AltiKa, GFO) that provide the most accurate estimate of the oceanic mean content are used. This version includes new High Resolution datasets from CryoSat-2 and AltiKa which are respectively sampled at 20 Hz and 40 Hz. However, these data had to be filtered at 5 Hz to obtain a better signal to noise ratio. This new solution is also improved in arctic region using an optimal combination between conventional SSH and LEADS (linear fractures) over free ice areas (missions Sentinel-3A, B). The mapping method is based on a local least square collocation technique which also provides an estimation of calibrated error.
DOI: 10.5281/zenodo.4244207
title: Different responses of CO2, CH4, and N2O fluxes to seasonally asymmetric warming in an alpine grassland of Tianshan Mountains

description: The measured CO2, CH4 and N2O fluxes and soil temperature and soil water content data.
DOI: 10.1285/i20356609v10i3p797
title: The Romanian People Versus Corruption. The Paradoxical Nexus of Protest and Adaptation

description: Corruption has been widely perceived as one of the main obstacles to Romania's successful transformation from socialism to democracy (and capitalism). Still, in the ensuing years after the 1989 transition, it did not directly stimulate mobilization and protest from below. However, more recently, the country has been undergoing a civic awakening. This article focuses on the interplay between the Romanian government and citizens to identify the dynamics of the growing anti-corruption protests in Romania since 2012. Four episodes of grass-roots mobilization (Austerity-2012, Rosia Montana-2013, Colectiv-2015 and OUG13/#rezist-2017) are systematically examined, taking into account the political opportunity structures and developing dynamics of contention. While these protests have been quite successful in achieving articulated demands, they have not yet transformed into sustained social movements with a wider political agenda of social change.
DOI: 10.15124/500474f7-6e69-47db-baf7-36310451fd15
title: Mayhew et al., 2022. Chemical Mechanisms

description: Embargoed until the publication of the associated research paper.
DOI: 10.1594/pangaea.953838
title: Two years of data on Ice Nucleating Particles (INP) from Villum Research Station (VRS) in Northern Greenland

description: Number concentration of ice nucleating particles N(INP) in the Arctic were derived from filter samples collected at Villum Research Station (VRS, Northern Greenland) during the course of two years, from July 2018 to September 2020. Each filter aimed at sampling for 3.5 days, and in total, 181 samples were retrieved for this study. Filter analysis was done with two well proven INP analysis techniques, ultimately resulting in a spectrum of N(INP) for each filter. We also included a heat treatment of the samples (1 hour at 90°C, or at 85°C for a few exceptions, due to instrumental issues). With this, one can determine the fraction of proteinaceous INP, which are of biological origin. For each filter sample, we here provide the temperature dependent measured frozen fractions (f_ice) of each filter from both instruments LINA (Leipzig Ice Nucleation Array) and INDA (Ice Nucleation Droplet Array) included in separate files (e.g. INDA2_20180716_1 for INDA; LINA_20190923_1 for LINA). Most filters underwent thermal treatment and therefore the f_ice of the treated samples is also provided in separate files (e.g. INDA2_20200622_heated_90_1h_1). For each filter sample, values of N(INP) spectra from LINA and INDA were interpolated to values at 0.1K intervals, and then the two spectra were merged. Details on this procedure can be found in Sze et al. (2023). The here presented data includes one spectrum of INP concentrations for each sample (covering the temperature range from -4.5°C down to -30.4°C), merged from a LINA and an INDA measurement. (Hint: Due to the measurement procedure, separate spectra generally are only available over a more narrow temperature range, so empty fields are left blank by intention.) Also, additional details for each sample are available, such as start and end date of the sampling and the sampled air volume. For the basic f_ice data, refer to the related data (doi:10.1594/PANGAEA.953839).
description: PLEASE NOTE: no ice nucleating particles at 0 to -4.4°C and at -30.5 to -38°C.
DOI: 10.1594/pangaea.953839
title: Sample and droplet volume information of Ice Nucleating Particles (INP) including original files, from Villum Research Station (VRS) in Northern Greenland

description: Number concentration of ice nucleating particles N(INP) in the Arctic were derived from filter samples collected at Villum Research Station (VRS, Northern Greenland) during the course of two years, from July 2018 to September 2020. Each filter aimed at sampling for 3.5 days, and in total, 181 samples were retrieved for this study. Filter analysis was done with two well proven INP analysis techniques, ultimately resulting in a spectrum of N(INP) for each filter. We also included a heat treatment of the samples (1 hour at 90°C, or at 85°C for a few exceptions, due to instrumental issues). With this, one can determine the fraction of proteinaceous INP, which are of biological origin. For each filter sample, we here provide the temperature dependent measured frozen fractions (f_ice) of each filter from both instruments LINA (Leipzig Ice Nucleation Array) and INDA (Ice Nucleation Droplet Array) included in separate files (e.g. INDA2_20180716_1 for INDA; LINA_20190923_1 for LINA). Most filters underwent thermal treatment and therefore the f_ice of the treated samples is also provided in separate files (e.g. INDA2_20200622_heated_90_1h_1). For each filter sample, values of N(INP) spectra from LINA and INDA were interpolated to values at 0.1K intervals, and then the two spectra were merged. Details on this procedure can be found in Sze et al. (2023).The here presented data include all datasets (f_ice over the measured temperature range) for all samples, separately for all measurements (i.e., LINA, INDA and thermally treated INDA). A list of all these separate datasets is given, together with some details related to the sample (see the table of parameters below). Each of the datasets is separately available. For more details on the separate samples and for concentration data (given as merged spectra), refer to the related data (doi:10.1594/PANGAEA.953838).
DOI: 10.17043/oden-ryder-2019-sediment-mscl-1
title: Physical properties of marine sediment cores from the Ryder 2019 expedition
DOI: 10.17043/oden-ryder-2019-sediment-xrf-1
title: Geochemical XRF core scanning data of marine sediment cores from the Ryder 2019 expedition
DOI: 10.17632/8vfhhv8s2f.1
title: Wetlands of North African during mid-Holocene

description: We present reconstructions of wetland distribution in the mid-Holocene North Africa using five calibrated wetland models and four precipitation levels. The five models are WM1a, WM1b, WM2a, WM2b and WM3 and the four precipitation levels are MH1, MH2, MH3 and MH4. The 20 simulations are in '.mat' format created by matlab. For more informations, please contact wzchen@cug.edu.cn (W. Chen).
DOI: 10.17632/btf2mz4fhf.2
title: Data for: PAPILA dataset: a regional emission inventory of reactive gases for South America based on the combination of local and global information

description: PAPILA dataset is a collection of annual emission inventories of reactive gases (CO, NOx, NMVOCs, NH3 and SO2) from anthropogenic sources in South America, for the period 2014–2016. The dataset was developed on the basis of the existing data on the global dataset CAMS-GLOB-ANT v4.1 (developed by joining CEDS trends and EDGARv4.3.2 historical data), enriching it with derived data from locally available emission inventories for Argentina, Chile and Colombia. The inventories are presented as NetCDF4 files, one for each species and year, gridded with a spatial resolution of 0.1° x 0.1° covering the domain 32° W–120° W and 34° N–58° S. Each file contains 12 variables corresponding to the emissions in Tg/y from the following categories, which are organized and denominated using the nomenclature given by CAMS: thermal power plants (ENE); residential and commercial combustion (RES); road transportation (TRO); non-road transportation (TNR); fugitive emissions (FEF); industries (including fuel consumption in manufacturing industries and construction, refineries, industrial processes and solvent and other products use) (IND); agricultural soils (AGS); agriculture livestock (AGL); inland navigation (SHP); international navigation (SHP-INT); waste (including solid waste, wastewater and incineration) (SWD); and the sum of all sectors (SUM).
DOI: 10.24381/cds.151d3ec6
title: E-OBS daily gridded meteorological data for Europe from 1950 to present derived from in-situ observations
DOI: 10.25824/redu/ojmilk
title: Impacts of eCO2 vs. deforestation on Amazon climate modelled with the CPTEC-BAM

description: Post-processed data from the coupled land-atmosphere CPTEC-BAM model simulations used in the study by Sampaio et al. (2021 Biogeosciences; doi: 10.5194/bg-18-2511-2021) This dataset is organized into three data types as follows: monthly_mean: last 10 years of each simulation, month-by-month (120 data slices per model simulation per variable) annual_mean: long-term monthly mean for the last 10 years of each simulation (12 data slices per model simulation per variable) ensemble: average between the three runs (each with a different initial conditionl, see below) for the controls, deforestation and physiology simulations. Control and experimental runs were composed each of three model runs, each of them with different initial conditions derived from three different days of NCEP analysis (2003.Jan.01; 2007.Oct.10; 2017.Dec.17). [Except for the physiology scenario in which the simulations starting with the 2003.Jan.01 initial condition was not carried out] Data files labels are as follows: …controle: control run for the deforestation scenario. Deforestation: no. Vegetation: static. CO2 concentration affecting the atmosphere (atmospheric radiative fluxes): 388. CO2 concentration affecting plant physiology: 388. …controle2: control run for the physiolgy scenario. Deforestation: no. Vegetation: dynamic. CO2 concentration affecting the atmosphere (atmospheric radiative fluxes): 388. CO2 concentration affecting plant physiology: 388. …deforestation: experiment run for the deforestation scenario. Deforestation: yes (100%). Vegetation: static. CO2 concentration affecting the atmosphere (atmospheric radiative fluxes): 388. CO2 concentration affecting plant physiology: 388. …physiology: experiment run for the physiology scenario. Deforestation: no. Vegetation: dynamic. CO2 concentration affecting the atmosphere (atmospheric radiative fluxes): 388. CO2 concentration affecting plant physiology: 588. Spatial resolution: 192 longitude x 97 latitude x 18 vertical levels Files are in NetCDF format, with a header specifying the contained variables and units, reproduced in a separate README file for sake of convenience. This dataset and related publication are part of the AmazonFACE∫ME (AmazonFACE/ME) research project (https://labterra.cpa.unicamp.br/amazonface-me/).
DOI: 10.25900/2a76-vw55
title: OCTOPUS Database v.2: The SahulSed Fluvial TL collection

description: Database of published thermoluminescence (TL) ages for fluvial sedimentary records from Sahul. Spatial data includes sample locations (point) and uses the WGS84/Pseudo-Mercator (EPSG: 3857) projected coordinate reference system. Sample metadata is comprehensive and includes bibliographic, contextual, and sample preparation and measurement related information.
DOI: 10.25900/2mb4-rr36
title: OCTOPUS Database v.2: The SahulArch Radiocarbon collection
DOI: 10.25900/32de-mj32
title: OCTOPUS Database v.2: The SahulSed Lacustrine TL collection

description: Database of published thermoluminescence (TL) ages for lacustrine sedimentary records from Sahul. Spatial data includes sample locations (point) and uses the WGS84/Pseudo-Mercator (EPSG: 3857) projected coordinate reference system. Sample metadata is comprehensive and includes bibliographic, contextual, and sample preparation and measurement related information.
DOI: 10.25900/5jcw-tn50
title: OCTOPUS Database v.2: The SahulSed Aeolian OSL collection

description: Database of published optically stimulated luminescence (OSL) ages for aeolian sedimentary records from Sahul. Spatial data includes sample locations (point) and uses the WGS84/Pseudo-Mercator (EPSG: 3857) projected coordinate reference system. Sample metadata is comprehensive and includes bibliographic, contextual, and sample preparation and measurement related information.
DOI: 10.25900/6hmv-zz61
title: OCTOPUS Database v.2: The SahulSed Lacustrine OSL collection

description: Database of published optically stimulated luminescence (OSL) ages for lacustrine sedimentary records from Sahul. Spatial data includes sample locations (point) and uses the WGS84/Pseudo-Mercator (EPSG: 3857) projected coordinate reference system. Sample metadata is comprehensive and includes bibliographic, contextual, and sample preparation and measurement related information.
DOI: 10.25900/p5ye-rn35
title: OCTOPUS Database v.2: The SahulSed Fluvial OSL collection
DOI: 10.25900/xq40-t003
title: OCTOPUS Database v.2: The SahulArch TL collection
DOI: 10.25919/9bya-9545
title: TERN Surveillance monitoring program: Soil vis-NIR spectral library with accompanying soil measurement data for 367 specimens

description: AusPlots is the core program delivered by TERN Surveillance. AusPlots is a plot-based surveillance monitoring program, undertaking baseline assessments of ecosystems across the country. The aim of AusPlots is to establish and maintain a national network of plots that enables consistent ecological assessment and ongoing monitoring. The AusPlots network collects a range of field data for integration with other existing data sources and current knowledge. More information about TERN Surveillance can be found at their website - https://www.tern.org.au/tern-observatory/tern-ecosystem-surveillance/ As of 2020 there are about 690 active AusPlot sites distributed across Australia. During 2018 to 2019, most of the soil specimens collected at the AusPlots sites were scanned with an ASD portable vis-NIR spectrometer (PANalytical Inc., Boulder, CO, USA). As there is a specific field data collection protocol carried out at each site i.e., numerous spatial distributed samples collected in a grid-design of specified dimensions, this meant a substantial number of specimens to scan. In total there were 19,380 vis-nir spectra collected. The scanning was done at CSIRO Waite Campus with a CSIRO owned vis-NIR spectrometer. Accompanying the soil vis-NIR library is a dataset of analytical soil measurements for 367 soil specimens selected the Ausplots soil specimen archive.
DOI: 10.5281/zenodo.10101394
title: Model data for "The GERB Obs4MIPs Radiative Flux Dataset: A new tool for climate model evaluation", submitted to Earth System Science Data

description: © Crown Copyright, Met Office
The E1hrClimMon files contain the monthly mean diurnal cycles of TOA radiative fluxes (all-sky and clear-sky) for amip experiment of two configurations of HadGEM3: GC3.1 and GC5.0. The monthly mean diurnal cycle is constructed by averaging each UTC hourly mean over the entire month. The HadGEM3 OLR diagnostics used in this study differ from those submitted to CFMIP3. The OLR diagnostics submitted to CFMIP3 contain a correction that accounts for the surface temperature adjustment by the boundary layer scheme in model time steps between radiation time steps. This OLR diagnostic adjustment is introduced to conserve energy, but it significantly distorts the diurnal cycle of OLR. For comparison with the GERB obs4MIPs products, the OLR without this correction is recommended.
The COSP file contains the average monthly climatologies for the variables cfadLidarsr532 and clisccp for the amip simulations of GC3.1 and GC5.0.
DOI: 10.5281/zenodo.4021685
title: MAPM Campaign Data

description: Data from the 2019 MAPM field campaign in Christchurch. Contains data from: AWS Ceilometer miniMPL Radiosondes For PM data see here: 10.5281/zenodo.4023403
DOI: 10.5281/zenodo.4023402
title: MAPM Campaign PM Data

description: PM data from the 2019 MAPM field campaign in Christchurch. Contains data from: ODINs ES-642s For other data from the MAPM campaign see here: 10.5281/zenodo.4021686
DOI: 10.5281/zenodo.4063662
title: Aerosol particle formation in the upper residual layer: dataset

description: This dataset contains the following data: -Doppler lidar measurements from Hyytiälä, Finland (May 1-2, 2017)<br> -Ion spectrometer data from Hyytiälä, Finland (May 2, 2017)<br> -Airborne measurement data from southern Finland using an instrumented Cessna 172 (several campaigns between 2011-2018)<br> -New particle formation event classifications from Hyytiälä, Finland
DOI: 10.5281/zenodo.4660145
title: Zeppelin-led study on the onset of new particle formation in the planetary boundary layer: dataset

description: This dataset contains the following data Finland (Hyytiälä, HTL): - NAIS data (SMEAR II station and Zeppelin)<br> - Zeppelin LDA data (meteorological data and location)<br> - Zeppelin SMPS data<br> - Mixed layer height (2013-05-08)<br> - API-ToF (pseudo SA) data from Zeppelin Italy (San Pietro Capofiume, SPC): - NAIS data (SPC and Zeppelin)<br> - Zeppelin LDA data (meteorological data and location)<br> - Zeppelin SMPS data<br> - Meteorology, SO2, SMPS and APS data from SPC<br> - Mixed layer height from lidar<br> - API-ToF (pseudo SA) data from Zeppelin<br> - HYSPLIT airmass backtrajectories (2012-06-30)