cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3688471
title: Data set of airborne and ground-based atmospheric measurements from Hyytiälä, Finland

description: This data set includes airborne and ground-based measurements of aerosol particles and meteorological variables from Hyytiälä, Finland (61.85N, 24.28E). The airborne measurements were done between 2013-2015 and the ground-based measurements include selected data between 2006-2017.
description: Funding: The Academy of Finland Center of Excellence project No. 272041 Academy of Finland projects ABBA No. 280700 (2014-2017) and ClimEco No. 314 798/799 (2018-2020) Russian Science Foundation project No. 15-17-20009 (2015-2018)
DOI: 10.5281/zenodo.3895585
title: A 30-meter terrace mapping in China using Landsat 8 imagery and digital elevation model based on the Google Earth Engine

description: This dataset contains the China terrace map at 1 km resolution in 2018 (calculated from 30 m resolution map). The map values indicate the proportion of terrace within 1×1 km grid cell. The 30 m China terrace map can be downloaded at https://doi.org/10.5281/zenodo.5541065 and can be viewed at https://cbw.users.earthengine.app/view/chinaterracemap <strong>Citations:</strong> When using this dataset, please cite both the dataset and the following data description article: <em>Cao, B., Yu, L., Naipal, V., Ciais, P., Li, W., Zhao, Y., Wei, W., Chen, D., Liu, Z., and Gong, P.: A 30 m terrace mapping in China using Landsat 8 imagery and digital elevation model based on the Google Earth Engine, Earth Syst. Sci. Data, 13, 2437–2456, https://doi.org/10.5194/essd-13-2437-2021, 2021.</em>
DOI: 10.5281/zenodo.4086102
title: Digitized flood location dataset during cyclone Amphan from newspaper survey

description: A dataset of inundation location, digitized and geotagged from newspaper reports during cyclone Amphan over Bengal delta. Description of columns: 1. District: Location name at 2nd administrative level 2. Upazila: Location name at 3rd administrative level 3. Location: Location name 4. Lon: Longitude 5. Lat: Latitude 6. Type: Type of flood - Flood or Inundation 7. Mechanism: Type of flood/inundation mechanism. Breach (Embankment breaching), Hightide (Unembanked low-land), Overtopping (Embankment overflow) 8. Source: Source newspaper name. 9. Date: Corresponding date of the publishing of the news. <strong>Acknowledgement:</strong> CNES (through the TOSCA project BANDINO) and Embassy of France in Bangladesh for financial support. Also support from French research agency (Agence Nationale de la Recherche; ANR) under the DELTA project (ANR-17-CE03-0001).
DOI: 10.5281/zenodo.4507001
title: Model code, simulation output data, and all scripts for the paper "Estimating the potential cooling effect of cirrus thinning achieved via the seeding approach".

description: The data and scripts used in the paper, "Estimating the potential cooling effect of cirrus thinning achieved via the seeding approach". data_output.zip is the model output results. Note that only the variables used for making plots. Model_code.zip is the modified model code. plot_script.zip is the NCL scripts used for figures in the paper. source_model.zip is the CAM5.3 model source code. Model_code.zip contains the latest version of the experiments and diagnosis which beyond the scope of this manuscript. To provide scripts that easier to understand and reproduce, we upload each model code of 7 experiments in this paper respectively. Please see version 2.0 of the record.
DOI: 10.5281/zenodo.6909944
title: Particle number concentrations and size distributions in the stratosphere: Implications of nucleation mechanisms and particle microphysics

description: The data files of all figures for ACP-2022-487 entitled: "Particle number concentrations and size distributions in the stratosphere: Implications of nucleation mechanisms and particle microphysics"
DOI: 10.5281/zenodo.7069110
title: Coastal extreme sea levels in the Caribbean Sea induced by tropical cyclones

description: Previous version contained the return levels of coastal significant wave height and sea surface elevation along the Caribbean coastlines corresponding to the periods of 10, 50, 100, 200 and 500 years. The return periods have been computed fitting a Generalised Pareto Distribution to a set of hydrodynamic-wave coupled ocean simulations forced with 1000 synthetic tropical cyclones. See the paper Martin et al (under review) for details. The file (Return_levels.mat) contains a Matlab table (with header names) indicating latitude, longitude and the return levels described above, named as Hs (significant wave height) and SSE (sea surface elevation). Three other datasets have been included, with the subsample of the Tropical Cyclones selected for the study (Subsample.mat), the geographic data of the coastal grid points used for our analysis (Coastaline.mat), and finally a dataset with the results of the analysis presented in the paper (Results_4_runs.mat). All datasets are provided in a .mat file, generated using Matlab. First dataset contains a Matlab table (with header names) indicating latitude and longitude, radius of maximum wind speed, minimum pressure and maximum wind speed a long the track of the Tropical Cyclone, for the 1000 samples selected. Second dataset provides both Latitude and Longitude of the coastal grid points used for the analysis. The last dataset contains a Matlab table (with header names) where the first column represents the Tropical Cyclone, columns 2,3 and 4 contain the maximum of sea surface elevation (SSE) during the lifetime of the Tropical Cyclone for each coastal point, for the 3 decoupled runs, wind-forced only, pressure-forced only and wind and pressure respectively. The next 4 columns contain the values of the variables for the coupled simulations with WWM-III, maximum significant wave height (Hs), maximum SSE, median of Peak Direction (Dp) and median of Peak period (Tp). All these variables contain a description in the dataset as variable information, and are provided for all coastal points of our grid.
DOI: 10.5281/zenodo.7084790
title: Dataset for Barotropic tides in MPAS-Ocean (E3SM V2): impact of ice shelf cavities (GMD, 2023)

description: This is the data set containing initial condition and parameter files for the results in our paper.
DOI: 10.5281/zenodo.7826565
title: SkiYMET meteor radar data at OLAP (2008-2009)

description: SkiYMET meteor radar data from OLAP observatory at São João do Cariri (7.23º S; 36.32º W; dip lat. -22.22), Brazil. The files summarize the parameters of the diurnal, semidiurnal, and terdiurnal tides, such as amplitude and phase, for the zonal and meridional wind components. The winds were estimated for the months of April, July and October of 2009, and December of 2008. These data were used as input to the MIRE model in the study of Fontes et al. (2022).
description: {"references": ["Fontes, Pedro A. et al. (2022).:Effects of the terdiurnal tide on the Sporadic-E layers (Es) development at low latitudes over the Brazilian sector, Ann. Geophys. Discuss. [preprint], https://doi.org/10.5194/angeo-2022-17, in review,."]}
DOI: 10.5281/zenodo.7826805
title: CADI Ionosonde Data - Palmas (2008-2009)

description: Ionograms recorded by the CADI ionosonde installed in the observatory of Palmas (10.17° S; 48.33° W; dip lat. 8.3° S), Brazil. The dataset contains images of the ionograms recorded from December/2008 to November/2009. These data were used in the study of sporadic-E layers by Fontes et al. (2022).
description: {"references": ["Fontes, P. Alves et al. (2022). Effects of the terdiurnal tide on the Sporadic-E layers (Es) development at low latitudes over the Brazilian sector, Ann. Geophys. Discuss. [preprint], https://doi.org/10.5194/angeo-2022-17, in review,."]}
DOI: 10.5439/1178582
title: dlprofwind4news.c1

description: Doppler lidar wind profile VAP
DOI: 10.5440/1164893
title: Surface Meteorology, Barrow, Alaska, Area A, B, C and D, Ongoing from 2012

description: Meteorological data are being collected at several points within four intensive study areas in Barrow. These data assist in the calculation of the energy balance at the land surface and are also useful as inputs into modeling activities. (https://doi.org/10.5440/1164893). Measurements at AREA A (all heights listed are relative to the land surface): Location of the Site A station: N71* 16.888', W156* 36.647' * Air temperature at three heights: 1.4 meters, 2.0 meters, 3.5 meters * Relative Humidity / Dew Point at two heights: 1.4 meters, 3.5 meters * Wind Speed at two heights: 1.3 meters, 3.5 meters * 4 Component Net Radiation @ 1.2 meters ** Upwelling & Downwelling Shortwave Radiation ** Upwelling & Downwelling Longwave Radiation * Summer Precipitation Site A is located on polygonal permafrost and co-located with continuous snow depth measurements and subsurface measurements. Measurements at AREA B (all heights listed are relative to the land surface): Location of the Site B station: N71* 16.785', W156* 36.211' * Air temperature at three heights: 1.4 meters, 2.0 meters, 3.5 meters * Relative Humidity / Dew Point at two heights: 1.4 meters, 3.5 meters * Wind Speed at two heights: 1.3 meters, 3.5 meters * 4 Component Net Radiation @ 1.2 meters ** Upwelling & Downwelling Shortwave Radiation ** Upwelling & Downwelling Longwave Radiation * Summer Precipitation Site B is located on polygonal permafrost and co-located with continuous snow depth measurements and subsurface measurements. ------------------------------------------------- Measurements at AREA C (all heights listed are relative to the land surface): Location of the Site C station: N71* 16.804', W156* 36.072' * Air temperature at three heights: 1.4 meters, 2.0 meters, 3.5 meters * Relative Humidity / Dew Point at two heights: 1.4 meters, 3.5 meters * Wind Speed at two heights: 1.3 meters, 3.5 meters * 4 Component Net Radiation @ 1.2 meters ** Upwelling & Downwelling Shortwave Radiation ** Upwelling & Downwelling Longwave Radiation * Summer Precipitation * Barometric Pressure Site C is located on polygonal permafrost and co-located with continuous snow depth measurements and subsurface measurements. ------------------------------------------------- Measurements at AREA D (all heights listed are relative to the land surface): Location of the Site D station: N71* 16.927', W156* 36.036' * Air temperature at one height: 1.2 meters * Relative Humidity / Dew Point at one height: 1.2 * Wind Speed at one height: 1.2 meters * 4 Component Net Radiation @ 1.0 meters ** Upwelling & Downwelling Shortwave Radiation ** Upwelling & Downwelling Longwave Radiation Site D is located on polygonal permafrost and co-located with continuous snow depth measurements and subsurface measurements. Data are in ASCII files, with columns separated by commas: ','
DOI: 10.6096/4001
title: Sea2Cloud - Baring-Head – APi-TOF - Level 2

description: This file contains Atmospheric Pressure Interface Time of Flight (APi-TOF) mass spectrometer data measured at the Baring Head station between 16  July 2020 to 17 January 2021. The instrument was used in negative ion mode without chemical ionisation. The APi-TOF was located in the same building with the aerosol instrumentation and it was used with a 91 cm long 3/8" thick stainless steel inlet. The flow rate in this inlet was increased to 11 lpm with an external pump to reduce wall losses in the inlet. The measurements were done with 1 min time resolution, but here the data is averaged over 30 min to increase the signal to noise ratio. The file contains the time series for the peaks that were used in the publication. The units are in ions/s and the time is New Zealand Standard Time
DOI: 10.7267/4j03d6263
title: Research Data Policies at Doctoral Universities with very high research activity (R1 institutions)

description: This dataset compiles a list of universities classified as Doctoral Universities with very high research activity (R1) by the Carnegie Commission for Higher Education as well as their unique identifier. The dataset also lists whether or not an institutional research data policy exists, the internal classification number used by the researchers, the title of the policy, a link to the policy, comments from the researchers, and who located the policy. The policies included in this dataset are policies that refer to the management and retention of research data, and (a) refer exclusively to research data (b) the policy affects all types of research data generated in an institution (c) the policy is an official, university wide policy.
DOI: 10.14291/tccon.ggg2020.karlsruhe01.r0
title: TCCON data from Karlsruhe (DE), Release GGG2020.R0

description: The Total Carbon Column Observing Network (TCCON) is
    a network of ground-based Fourier Transform Spectrometers that record direct
    solar absorption spectra of the atmosphere in the near-infrared. From these
    spectra, accurate and precise column-averaged abundances of atmospheric
    constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This
    is the GGG2020 data release of observations from the TCCON station at
    Karlsruhe, Germany
description: Files available via S3 at https://renc.osn.xsede.org/ini210004tommorrell/10.14291/tccon.ggg2020.karlsruhe01.R0/&lt;/p&gt;</p>README.txt 0 
        <p>&lt;a role="button" class="ui compact mini button" href="https://renc.osn.xsede.org/ini210004tommorrell/10.14291/tccon.ggg2020.karlsruhe01.R0/README.txt"
        &gt; &lt;i class="download icon"&gt;&lt;/i&gt; Download &lt;/a&gt;</p>&lt;/p&gt;</p>
        ka20140115_20211222.public.qc.nc 0 
        <p>&lt;a role="button" class="ui compact mini button" href="https://renc.osn.xsede.org/ini210004tommorrell/10.14291/tccon.ggg2020.karlsruhe01.R0/ka20140115_20211222.public.qc.nc"
        &gt; &lt;i class="download icon"&gt;&lt;/i&gt; Download &lt;/a&gt;</p>&lt;/p&gt;</p>
        LICENSE.txt 0 
        <p>&lt;a role="button" class="ui compact mini button" href="https://renc.osn.xsede.org/ini210004tommorrell/10.14291/tccon.ggg2020.karlsruhe01.R0/LICENSE.txt"
        &gt; &lt;i class="download icon"&gt;&lt;/i&gt; Download &lt;/a&gt;</p>&lt;/p&gt;</p>
DOI: 10.1594/pangaea.902277
title: Global mean CO2, temperature and sea level data from transient model simulations of Quaternary glacial cycles

description: Variations in Earth's orbit pace the glacial-interglacial cycles of the Quaternary, but the mechanisms that transform regional and seasonal variations in solar insolation into glacial-interglacial cycles are still elusive. Here, we present transient simulations of coevolution of climate, ice sheets, and carbon cycle over the past 3 million years. We show that a gradual lowering of atmospheric CO2 and regolith removal are essential to reproduce the evolution of climate variability over the Quaternary. The long-term CO2 decrease leads to the initiation of Northern Hemisphere glaciation and an increase in the amplitude of glacial-interglacial variations, while the combined effect of CO2 decline and regolith removal controls the timing of the transition from a 41,000- to 100,000-year world. Our results suggest that the current CO2 concentration is unprecedented over the past 3 million years and that global temperature never exceeded the preindustrial value by more than 2°C during the Quaternary.
description: Supplement to: Willeit, Matteo; Ganopolski, Andrey; Calov, Reinhard; Brovkin, Victor (2019): Mid-Pleistocene transition in glacial cycles explained by declining CO2 and regolith removal. Science Advances, 5(4), eaav7337
DOI: 10.17632/jx3vn5xxcn.3
title: In-Canopy Biogenic Volatile Organic Compounds Mixing Ratios at the Virginia Forest Lab

description: Two years (September 15th, 2019-September 14th, 2021) of biogenic volatile organic compound concentration data from within the canopy of a forest in Fluvanna County, Virginia. An associated manuscript is published in atmospheric chemistry and physics titled - "Measurement Report: Variability in the composition of biogenic volatile organic compounds in a southeastern US forest and their role in atmospheric reactivity". The doi for this manuscript is: 10.5194/acp-2021-416.

The original version of this data set did not correct for when the data was sampled vs. when it was analyzed. The most recent version has been updated to reflect this and additional detail has been provided. Additionally, the calibration method for methacrolein and methyl vinyl ketone has been updated in this version of the data set. Given these changes, we ask that you use the most recent version.

Additional manuscripts associated with this data include: 'Minor contributions of daytime monoterpenes are major contributors to atmospheric reactivity' which discusses diurnal and seasonal variability found within the data and 'An autonomous remotely operated gas chromatograph for chemically resolved monitoring of atmospheric volatile organic compounds' which outlines the instrument developed for data collection and compound integration.

This will be the final update of this data set. Data collection is ongoing indefinitely, but future additions to the data set will be migrated to Dryad. Please email with any questions you may have regarding data collection or the data set.
DOI: 10.23728/b2share.82818db7be054f5eb921d386a0bcaa74
title: STH-net

description: The data set contains the data measured by the soil monitoring network "STH-net" installed at the Schäfertal Hillslope site (Central Germany). The hillslope site consists of a South- and a North-facing slopes and a riparian zone near the creek. The network comprises 8 stations (labeled as P1 to P8) featuring TDR probes installed every 10 cm to a maximum depth of either 70 or 110 cm measuring soil water content, and monitoring wells instrumented with piezometers measuring the water level. Furthermore, one station for each of the three soil units (namely, P2, P4 and P7) feature probes measuring soil temperature at six depths (i.e., 5, 10, 20, 30, 50 and 100 cm). A weather station is located in the valley bottom near the creek.
All the data are measured every 10 minutes, with the only exception of the water level data which are collected every 2 hours. 
For each of the 65 TDR probes, soil samples were analyzed and the data on grain size distribution (sand, silt and clay %), bulk density and porosity are provided.
The file "STH-net_README.txt" contains detailed information about the content of each data file.

The complete description of this data set can be found in the following data description paper:
Martini, E., Bauckholt, M., Kögler, S., Kreck, M., Roth, K., Werban, U., Wollschläger, U., and Zacharias, S.: STH-net: a soil monitoring network for process-based hydrological modelling from the pedon to the hillslope scale, Earth Syst. Sci. Data, 13, 2529–2539, https://doi.org/10.5194/essd-13-2529-2021, 2021.
DOI: 10.23728/fmi-b2share.b14b1df4a83f4c7dbb54badc2eef607a
title: NWP model data (ECMWF IFS) for Pentikäinen et al. (2022) "Evaluating wind profiles in a numerical weather prediction model with Doppler lidar"

description: This dataset contains vertical columns of u and v winds (eastward and northward winds) from the operational global model: Integrated Forecasting system (IFS) operated by the European Centre for Medium-Range Weather Forecasts (ECMWF), for the 6 locations evaluated in the manuscript (Pentikäinen et al. 2022, submitted to GMD).
description: Hourly wind values were extracted for all model levels (137 levels) from the 12Z run for the t+12 to t+35 hour forecast range over 6 locations. The data was obtained from MARS and then post-processed to meet the Cloudnet format convention (http://cloudnet.fmi.fi), which also ensures that the netCDF format (https://www.unidata.ucar.edu/software/netcdf/) has standard names meeting the Climate and Forecast metadata conventions (https://cfconventions.org/). This processing step also calculated the heights for the model levels which follow a hybrid vertical coordinate system.
description: 6 archive files (in tar.gzipped format) are provided, one for each location. Each archive file contains daily files which are in the self-describing netCDF format.
DOI: 10.25919/2h1c-t753
title: CAPRICORN2 - Atmospheric aerosol measurements from the RV Investigator voyage IN2018_V01

description: This data collection contains aerosol measurements taken aboard the voyage IN2018_V01. This voyage, spanning January - February 2018, departed Hobart and spent six weeks in the in the Southern Ocean extending to 70 ­S . Data included includes aerosol number concentrations (CN10), cloud condensation nuclei (CCN) concentrations and aerosol chemical composition.
DOI: 10.26165/juelich-data/8inbxk
title: Replication data for "Optical receiver characterizations and corrections for ground-based and airborne measurements of spectral actinic flux densities"

description: libRadtran input file examples compatible with version 2.0.4 as well as spectral radiance output and corrections for all atmospheric scenarios. Corrections are specific for the receivers and measurement configurations used in this work.
DOI: 10.26179/brjy-g225
title: Automatic Weather Station Data obtained at Dome A (Argus), Antarctica
DOI: 10.3886/icpsr08188.v1
title: Words and Deeds in Soviet Military Expenditures, 1955-1983
title: Version 1

description: This data collection assesses the relationship between Soviet policy statements and military expenditures. Annual speeches given by Soviet Finance Ministers to the Supreme Soviet were analyzed for references to intended defense spending, the United States, and the threat of imperialism. Other variables in this dataset include estimates from various Western sources of the level of Soviet defense spending and identification of the appropriate year in the Soviet planning cycle. A year is the unit of analysis in this dataset.
description: Datasets: 
 
 DS1: Dataset
description: The following variables are missing for the years indicated: Variable 2: 1955, 1979-1983. Variable 4: 1955, 1982-1983. Variable 5: 1955. Variable 6: 1955. Variable 7: 1955, 1983. Variable 8: 1979-1983. Variable 9: 1981-1983. Variable 10: 1981-1983. Variable 11: 1979-1983.
description: Annual speeches given by Soviet Finance Ministers to the Supreme Soviet during 1955-1983.
DOI: 10.4121/uuid:21220b23-ff36-4ca9-a08f-ccd53782e834
title: A 10-year (2009-2019) surface soil moisture dataset produced based on in situ measurements collected from the Tibet-Obs

description: The Tibet-Obs consists of three regional-scale soil moisture (SM) monitoring networks, i.e. the Maqu, Naqu, and Ngari (including Ali and Shiquanhe) networks. This surface SM dataset includes the original 15-min in situ measurements collected at a depth of 5 cm by multiple SM monitoring sites of the three networks, and the spatially upscaled SM records produced for the Maqu and Shiquanhe networks.
DOI: 10.5067/96buid8hggx5
title: MERRA-2 inst3_3d_gas_Nv: 3d,3-Hourly,Instantaneous,Model-Level,Assimilation,Aerosol Mixing Ratio Analysis Increments V5.12.4
DOI: 10.5067/aura/omi/data2012
title: OMI/Aura DOAS Total Column Ozone 1-Orbit L2 Swath 13x24 km
DOI: 10.5067/gsacb044m4pk
title: High Mountain Asia 8-meter DEMs Derived from Along-track Optical Imagery, Version 1
DOI: 10.5067/q9qmy5pbnv1t
title: MERRA-2 tavg1_2d_rad_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Radiation Diagnostics V5.12.4