cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3334/cdiac/00001_v2016
title: Global, Regional, and National Fossil-Fuel CO2 Emissions (1751 - 2013) (V. 2016)

description: Publications containing historical energy statistics make it possible to estimate fossil fuel CO2 emissions back to 1751. Etemad et al. (1991) published a summary compilation that tabulates coal, brown coal, peat, and crude oil production by nation and year. Footnotes in the Etemad et al.(1991) publication extend the energy statistics time series back to 1751. Summary compilations of fossil fuel trade were published by Mitchell (1983, 1992, 1993, 1995). Mitchell's work tabulates solid and liquid fuel imports and exports by nation and year. These pre-1950 production and trade data were digitized and CO2 emission calculations were made following the procedures discussed in Marland and Rotty (1984) and Boden et al. (1995). Further details on the contents and processing of the historical energy statistics are provided in Andres et al. (1999). The 1950 to present CO2 emission estimates are derived primarily from energy statistics published by the United Nations (2016), using the methods of Marland and Rotty (1984). The energy statistics were compiled primarily from annual questionnaires distributed by the U.N. Statistical Office and supplemented by official national statistical publications. As stated in the introduction of the Statistical Yearbook, "in a few cases, official sources are supplemented by other sources and estimates, where these have been subjected to professional scrutiny and debate and are consistent with other independent sources." Data from the U.S. Department of Interior's Geological Survey (USGS 2016) were used to estimate CO2 emitted during cement production. Values for emissions from gas flaring were derived primarily from U.N. data but were supplemented with data from the U.S. Department of Energy's Energy Information Administration (1994), Rotty (1974), and data provided by G. Marland. Greater details about these methods are provided in Marland and Rotty (1984), Boden et al. (1995), and Andres et al. (1999).
DOI: 10.3334/cdiac/ffe.annualuncertainty.2016
title: Annual Fossil-Fuel CO2 Emissions: Uncertainty of Emissions Gridded by On Degree Latitude by One Degree Longitude (1950-2013) (V. 2016)

description: The annual, gridded fossil-fuel CO2 emissions uncertainty estimates from 1950-2013 provided in this database are derived from time series of global, regional, and national fossil-fuel CO2 emissions (Boden et al. 2016). Andres et al. (2016) describes the basic methodology in estimating the uncertainty in the (gridded fossil fuel data product ). This uncertainty is gridded at the same spatial and temporal scales as the mass magnitude maps. This gridded uncertainty includes uncertainty contributions from the spatial, temporal, proxy, and magnitude components used to create the magnitude map of FFCO2 emissions. Throughout this process, when assumptions had to be made or expert judgment employed, the general tendency in most cases was toward overestimating or increasing the magnitude of uncertainty.
DOI: 10.4121/uuid:e68c6141-f83e-4375-ac3b-088ddf4eff51
title: Sources and Transformations of Anthropogenic Nitrogen along an Urban River-Estuarine Continuum

description: The dataset contains the data used in the analysis for the discussion paper published in the journal Biogeosciences titled "Sources and Transformations of Anthropogenic Nitrogen along an Urban River-Estuarine Continuum." This data is based on water samples collected from the Potomac River Estuary from 2010-2011. Water samples were analyzed for carbon and nitrogen concentrations and nitrate stable isotopes.
DOI: 10.4225/08/57903b83d6a5d
title: Sydney Particle Study 1 - Aerosol and gas data collection

description: The observations of the Sydney Particle Study (SPS) were carried out in two stages at the Westmead Air Quality Station by teams of scientists from CSIRO, OEH, and ANSTO. Stage 1 (SPS1) was conducted in summer 2011 (from 5 February to 7 March 2011). SPS  involved a comprehensive suite of measurements of atmospheric gases and aerosols in order to better understand the source, the chemical composition and the size distribution of the aerosol and gas-phase secondary aerosol precursors in Sydney.
The SPS1 aerosol and gas data collection is presented here.
DOI: 10.4225/08/5791b5528bd63
title: Sydney Particle Study 2 - Aerosol and gas data collection

description: The observations of the Sydney Particle Study (SPS) were carried out in two stages at the Westmead Air Quality Station by teams of scientists from CSIRO, OEH, and ANSTO. Stage 2 (SPS2) was in autumn 2012 (from 16 April to 14 May 2012). SPS2  involved a comprehensive suite of measurements of atmospheric gases and aerosols in order to better understand the source, the chemical composition and the size distribution of the aerosol and gas-phase secondary aerosol precursors in Sydney.
DOI: 10.5067/caliop/calipso/cal_lid_l2_05kmapro-prov-v3-01_l2-003.01
title: CALIPSO LID L2 05kmAPro-Prov HDF File - Version 3.01
DOI: 10.5067/caliop/calipso/cal_lid_l2_05kmclay-prov-v3-01_l2-003.01
title: CALIPSO LID L2 05kmCLay-Prov HDF File - Version 3.01
DOI: 10.5281/zenodo.11695
title: Monthly And Annual Climate Data Averaged From 2011 To 2013 For 79 Research Plots On The Southern Slopes Of Mt. Kilimanjaro - V 1.0

description: Annual and monthly means of air temperature, air humidity and precipitation averaged between 2011 and 2013 and based on in situ observations, spatial interpolation and/or statistical modelling for 79 research plots along the southern slopes of Mt. Kilimanjaro.

The data set is based on the work of sub-project 1 (Climate Dynamics of the Kilimanjaro Region and Remote Sensing) as part of the DFG research unit 1246 (Kilimanjaro ecosystems under global change). In addition, multi-year rainfall observations from A. Hemp are included (for a detailed description and references, please see the NOTES data file of the data set).

For more information on the sub-project, please visit <br>
http://environmentalinformatics-marburg.de/projects/climate-dynamics-of-the-kilimanjaro-region/<br>
  <br>
Feel free to contact us via ZENODO or send an e-mail to zenodo@environmentalinformatics-marburg.de
DOI: 10.5281/zenodo.264281
title: Tessa Ssa Platform Performance Data

description: TESSA SSA Platform Performance Data collected for the NHESS paper.
DOI: 10.5281/zenodo.321405
title: Snow Dataset For Mount-Lebanon (2011-2016)

description: We present a comprehensive snow dataset for Mont-Lebanon. The dataset includes continuous meteorological observations from three high elevation automatic weather stations (AWS), snowpack field measurements collected at 30 different snow courses (elevation range 1300-2900 m a.s.l.), and post-processed MODIS snow products.  Meteorological and snow observations are presented for the snow seasons (November-June) between 2011 and 2016 for Mzar (MZA, 2294 m a.s.l.), 2014-2016 for the Cedars (CED, 2834 m a.s.l.), and 2015-2016 for Laqlouq (LAQ, 1830 m a.s.l.). Meteorological and snow data includes snow depth, temperature, relative humidity, incoming and reflected solar radiation, wind speed and direction, and atmospheric pressure measured at 30-min interval. Snow depth, snow density, and snow water equivalent were measured at the 30 different snow courses during snow season 2015 and 2016 with an average revisit time of 11.4 days. Post-processed daily MODIS snow cover area (SCA) and snow cover duration (SCD) products are presented for the three snow dominated basins (Abou Ali, Ibrahim, and El Kelb) and cover the time period from 01 September 2011 to 31 August 2016.
description: The reflected shortwave radiation at Mzar AWS are not reliable for the snow year 2015 due to a bad azimuthal orientation of the sensor.
DOI: 10.5281/zenodo.822490
title: Data Set For Microscale And Nanoscale Strain Mapping Techniques Applied To Creep Of Rocks

description: Data set (figures and data involved in their making) for Quintanilla-Terminel, A., M. E. Zimmerman, B. Evans, and D.L. Kohlstedt, Microscale and nanoscale strain mapping techniques applied to creep of rocks, Solid Earth Discuss., https://doi.org/10.5194/se-2017-27, in review, 2017.
DOI: 10.5281/zenodo.822501
title: Data Set Of Microscale Strain For Creep Of Carrara Marble

description: Data set used for the construction of all microscale strain maps of creep of Carrara marble. The data is stored in Matlab structures (.mat files) and contains all markers coordinates as well as deformation tensors for a 9n point average (for more details see: Quintanilla-Terminel, A., and B. Evans (2016), Heterogeneity of inelastic strain during creep of Carrara marble: Microscale strain measurement technique, J. Geophys. Res. Solid Earth, 121, 5736–5760).
DOI: 10.5285/22235f1a-b7f3-687f-e053-6c86abc0c8a6
title: Stable carbon isotopes of dissolved inorganic carbon for RRS James Clark Ross cruise JR302 in the subpolar North Atlantic Ocean from June to July 2014.

description: This dataset contains 341 measurements of the stable isotope composition of dissolved inorganic carbon in seawater, from samples collected during cruise JR20140531 (JR302) on the RRS James Clark Ross in the subpolar North Atlantic between 10th June 2014 and 16th July 2014. Sample analysis was carried out at the Scottish Universities Environmental Research Centre - Isotope Community Support Facility in East Kilbride, UK. The results fall in a range from -0.07 to +1.95 per mille, relative to the Vienna Peedee Belemnite internation standard (Coplen, 1995). The 1-sigma precision of the results, calculated from measurements of samples collected in duplicate, is 0.08 per mille. Measurements and processing are documented in detail by Humphreys et al. (2015) and Humphreys et al. (in prep.).  This dataset was collected to help understand the size and variability of the sources and sinks of greenhouse gases between the ocean and atmosphere in the North Atlantic Ocean as part of the UK's RAGNARoCC project.
DOI: 10.5676/eum_saf_cm/claas/v002
title: CLAAS-2: CM SAF CLoud property dAtAset using SEVIRI - Edition 2

description: The CLAAS-2 record provides cloud properties derived from the SEVIRI sensor onboard METEOSAT second generation (MSG) satellites. This second edition is the improved and extended follow-up of the first version of the record (Stengel et al., 2014; CLAAS-1 DOI:10.5676/EUM_SAF_CM/CLAAS/V001). In order to ensure a homogeneous data basis, the solar SEVIRI channels of MSG-1, MSG-2 and MSG-3 were intercalibrated (Meirink et al, 2013) with MODIS Aqua before applying the cloud retrievals. CLAAS-2 features 12 years (2004-2015) of cloud mask/type, cloud top temperature/pressure/height, cloud phase as well as cloud microphysical properties such as optical thickness, effective droplet radius and cloud water path. The data are available on native SEVIRI resolution, i.e. 15 minutes repeat cycle and 3km (nadir) to 11km (edge of the field of view) spatial resolution. In addition, spatio-temporal averages of the above mentioned cloud properties are included: Daily and monthly averages and monthly histograms on a 0.05° x 0.05° grid as well as monthly mean diurnal cycles on a 0.25° x 0.25° grid. The advancements compared to CLAAS-1 (DOI:10.5676/EUM_SAF_CM/CLAAS/V001) are for example: (1) extended MSG measurement record used with better calibration, (2) improvements made to the retrieval algorithm leading to products with higher quality and (3) increased temporal resolution (15 Minutes). A summary on the CLAAS-2 characteristics and a comprehensive evaluation of the results are currently documented in Benas et al. (2017). Along with the data, a comprehensive documentation including user guide, algorithm descriptions, reprocessing layout and extensive validation studies, is provided. With CLAAS-2, regional and large scale cloud processes at temporal scales of minutes to years can be studied. SEVIRI-based surface radiation products, which were part of CLAAS-1, are now released in a separate dataset (SARAH-2).
DOI: 10.5904/wgms-glathida-2016-07
title: GLACIER THICKNESS DATABASE (GlaThiDa)

description: Internationally collected, standardized dataset on glacier thickness from in-situ and remotely sensed observations, based on data submissions, literature review and airborne data from NASA's Operation IceBridge.
DOI: 10.7265/n5zp442b
title: Global Land Ice Velocity Extraction from Landsat 8 (GoLIVE)
DOI: 10.7267/n95h7d65
title: A low-cost acoustic permeameter
DOI: 10.14291/tccon.ggg2014.ascension01.r0/1149285
title: TCCON data from Ascension Island (SH), Release GGG2014.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 data set contains observations from the TCCON station on Ascension Island.
description: <br>Cite this record as:<br>Feist, D. G., Arnold, S. G., John, N., & Geibel, M. C. (2014). <i>TCCON data from Ascension Island (SH), Release GGG2014.R0</i> (Version GGG2014.R0) [Data set]. CaltechDATA. https://doi.org/10.14291/TCCON.GGG2014.ASCENSION01.R0/1149285<br> or choose a different citation style.<br>Download Citation<br>
description: <br>Unique Views: 957<br>Unique Downloads: 52<br> between February 21, 2017 and July 12, 2021<br>More info on how stats are collected<br>
DOI: 10.14291/tccon.ggg2014.darwin01.r0/1149290
title: TCCON data from Darwin (AU), Release GGG2014.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 data set contains observations from the TCCON station at Darwin, Australia.
description: <br>Cite this record as:<br>Griffith, D. W. T., Deutscher, N. M., Velazco, V. A., Wennberg, P. O., Yavin, Y., Keppel-Aleks, G., Washenfelder, R. A., Toon, G. C., Blavier, J.-F., Paton-Walsh, C., Jones, N. B., Kettlewell, G. C., Connor, B. J., Macatangay, R. C., Roehl, C., Ryczek, M., Glowacki, J., Culgan, T., & Bryant, G. W. (2014). <i>TCCON data from Darwin (AU), Release GGG2014.R0</i> (Version GGG2014.R0) [Data set]. CaltechDATA. https://doi.org/10.14291/TCCON.GGG2014.DARWIN01.R0/1149290<br> or choose a different citation style.<br>Download Citation<br>
description: <br>Unique Views: 525<br>Unique Downloads: 23<br> between September 08, 2017 and July 12, 2021<br>More info on how stats are collected<br>
DOI: 10.14291/tccon.ggg2014.izana01.r0/1149295
title: TCCON data from Izana (ES), Release GGG2014.R0

description: <br> These data are now obsolete and should be replaced by the most recent data: https://doi.org/10.14291/tccon.ggg2014.izana01.R1 <br><br>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 data set contains observations from the TCCON station at Izana, Spain.
description: <br>Cite this record as:<br>Blumenstock, T., Hase, F., Schneider, M., García, O. E., & Sepúlveda, E. (2017). <i>TCCON data from Izana (ES), Release GGG2014.R0</i> [Data set]. CaltechDATA. https://doi.org/10.14291/tccon.ggg2014.izana01.r0/1149295<br> or choose a  different citation style.<br>Download Citation<br>
DOI: 10.14291/tccon.ggg2014.reunion01.r0/1149288
title: TCCON data from Réunion Island (RE), Release GGG2014.R0

description: <br> These data are now obsolete and should be replaced by the most recent data: https://doi.org/10.14291/tccon.ggg2014.reunion01.R1 <br><br>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 data set contains observations from the TCCON station on Réunion Island.
description: <br>Cite this record as:<br>De Mazière, M., Sha, M. K., Desmet, F., Hermans, C., Scolas, F., Kumps, N., … Cammas, J.-P. (2017). <i>TCCON data from Réunion Island (RE), Release GGG2014.R0</i> (Version GGG2014.R0) [Data set]. CaltechDATA. https://doi.org/10.14291/tccon.ggg2014.reunion01.r0/1149288<br> or choose a  different citation style.<br>Download Citation<br>
DOI: 10.1594/pangaea.805734
title: The International Bathymetric Chart of the Southern Ocean (IBCSO) - digital bathymetric model

description: Last update: 2013-04-23 (Bug fix of source identification grid: 2013-05-21).
DOI: 10.1594/pangaea.873558
title: Spatial and temporal patterns of plantation forests in the United States since the 1930s, links to gridded result files in different formats

description: Plantation forest area in the conterminous United States (CONUS) ranked second among the world's nations in the land area apportioned to forest plantation management. As compared to the naturally-regenerated forests, plantation forests demonstrate significant differences in biophysical characteristics, and biogeochemical and hydrological cycles as a result of more intensive management practices. Inventory data have been reported for multiple time periods at plot, state and regional scales across the CONUS, but there lacks the requisite annual and spatially-explicit plantation data set over a long-term period for analysis of the role of plantation management at regional or national scale. Through synthesizing multiple inventory data sources, this study developed methods to spatialize the time series plantation forest and tree species distribution data for the CONUS over the 1928-2012 time period. According to this new data set, plantation forest area increased from near zero in the 1930s to 268.27 thousand km2 by 2012, accounting for 8.65% of the total area of forest land area in the CONUS by 2012. Regionally, the South contained the highest proportion of plantation forests, accounting for about 19.34% of total forest land area in 2012. This time series and gridded data set developed here can be readily applied in regional Earth system modeling frameworks for assessing the impacts of plantation management practices on forest productivity, carbon and nitrogen stocks, and greenhouse gas (e.g., CO2, CH4 and N2O) and water fluxes at regional or national scales.
description: Supplement to: Chen, Guangsheng; Pan, Shufen; Hayes, Daniel J; Tian, Hanqin (2017): Spatial and temporal patterns of plantation forests in the United States since the 1930s: an annual and gridded data set for regional Earth system modeling. Earth System Science Data, 9(2), 545-556
DOI: 10.1594/pangaea.873812
title: Basic and other measurements of radiation at station Ny-Ålesund (2016-03)
DOI: 10.1594/pangaea.875116
title: Modelling Holocene peatland dynamics

description: Dynamic global vegetation models (DGVMs) are designed for the study of past, present and future vegetation patterns together with associated biogeochemical cycles and climate feedbacks. However, current DGVMs lack functionality for the representation of peatlands, an important store of carbon at high latitudes. We demonstrate a new implementation of peatland dynamics in a customised "Arctic" version of the dynamic vegetation model LPJ-GUESS, simulating the long-term evolution of selected northern peatland ecosystems and assessing the effect of changing climate on peatland carbon balance. Our approach employs a dynamic multi-layer soil with representation of freeze-thaw processes and litter inputs from a dynamically-varying mixture of the main peatland plant functional types; mosses, dwarf shrubs and graminoids. The model was calibrated and tested for a sub-arctic mire in Stordalen, Sweden, and validated at a temperate bog site in Mer Bleue, Canada. A regional evaluation of simulated carbon fluxes, hydrology and vegetation dynamics encompassed additional locations spread across Scandinavia. Simulated peat accumulation was found to be generally consistent with published data and the model was able to capture reported long-term vegetation dynamics, water table position and carbon fluxes. A series of sensitivity experiments were carried out to investigate the vulnerability of high latitude peatlands to climate change. We found that the Stordalen mire may be expected to sequester more carbon in the first half of the 21st century due to milder and wetter climate conditions, a longer growing season, and CO2 fertilization effect, turning into a carbon source after mid-century because of higher decomposition rates in response to warming soils.
description: Supplement to: Chaudhary, Nitin; Miller, Paul A; Smith, Benjamin (2016): Modelling Holocene peatland dynamics with an individual-based dynamic vegetation model. Biogeosciences Discussions, 1-46
DOI: 10.1594/wdcc/earlinet_saharandust_2000-2010
title: EARLINET observations related to Saharan Dust events (2000-2010)

description: Project: A European Aerosol Research Lidar Network to Establish an Aerosol Climatology - Aerosols affect life on earth in several ways. They play an important role in the climate system; the effect of aerosols on the global climate system is one of the major uncertainties of present climate predictions. They play a major role in atmospheric chemistry and hence affect the concentrations of other potentially harmful atmospheric constituents, e.g. ozone. They are an important controlling factor for the radiation budget, in particular in the UV-B part of the spectrum. At ground level, they can be harmful, even toxic, to man, animals, and plants. Because of these adverse effects that aerosols can have on human life, it is necessary to achieve an advanced understanding of the processes that generate, redistribute, and remove aerosols in the atmosphere. A quantitative dataset describing the aerosol vertical, horizontal, and temporal distribution, including its variability on a continental scale, is necessary. The dataset is used to validate and improve models that predict the future state of the atmosphere and its dependence on different scenarios describing economic development, including those actions taken to preserve the quality of the environment. The EARLINET data set is the most comprehensive compilation of data available for this purpose. This project description is taken from: http://www.earlinet.org/index.php?id=earlinet_homepage Summary: The geographical distribution of the EARLINET stations is particularly suitable for dust observation, with stations located all around the Mediterranean (from the Iberian Peninsula in the West to the Greece and Bulgaria and Romania in the East) and in the center of the Mediterranean (Italian stations) where dust intrusions are frequent, and with several stations in the central Europe where dust penetrates occasionally. A suitable observing methodology has been established within the network, based on Saharan dust alerts distributed to all EARLINET stations. The dust alert is based on the operational outputs (aerosol dust load) of the DREAM (Dust REgional Atmospheric Model), and the Skiron models. The alerts are diffused 24 to 36 hours prior to the arrival of dust aerosols over the EARLINET sites. Runs of measurements longer than 3-hour observations, typical for the EARLINET climatological measurements are performed at the EARLINET stations in order to investigate the temporal evolution of the dust events. All aerosol backscatter and extinction profiles related to observations of Saharan dust layers are collected in the "Saharan dust" category of the EARLINET database.