cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/wdcc/recon_land_cover_800-1992
title: Reconstruction of global land use and land cover AD 800 to 1992

description: Project: Earth System Model Forcing and Verification - The project consolidates data entities which are suitable to force and/or to verify Earth system models. The archived data entities contain data and data products mainly from observations or reconstruction. The eVolv2k project is supported by the Deutsche Forschungsgemeinschaft (DFG) in the framework of the priority programme “Antarctic Research with comparative investigations in Arctic ice areas” through grant TO 967/1-1. Summary: This dataset contains reconstructions of land use and land cover from AD 800 to 1992 in global coverage at 30 minute resolution. After AD 1700, the data is based on Ramankutty and Foley (1999), Foley et al. (2003) and Klein Goldewijk (2001); for earlier times, land use is estimated with a country-based method that uses national population data (McEvedy and Jones, 1978) as a proxy for agricultural activity. For each year, a map is provided that contains 14 fields. Each field holds the fraction the respective vegetation type covers in the total grid cell (0-1). The vegetation types comprise three human land use types (crop, C3 pasture and C4 pasture) and 11 natural vegetation types (based on the potential vegetation map of Ramankutty and Foley, 1999). For the time period prior to AD 1700 two additional land cover scenarios are provided (scenmin and scenmax). They quantify the uncertainties associated with this approach, through technological progress in agriculture and uncertainties in population estimates. The additional datasets combine the known uncertainties in a way to give the most extreme range for possible estimates of land use area for each year before 1700. The datasets thus do not represent consistent time series of plausible alternative scenarios, but indicate, for each year, a maximum range outside which estimates of land use area are unrealistic. See citations and references for details. Vegetation types: 1 Tropical evergreen forest 2 Tropical deciduous forest 3 Temperate evergreen broadleaf forest 4 Temperate/boreal deciduous broadleaf forest 5 Temperate/boreal evergreen conifers 6 Temperate/boreal deciduous conifers 7 Raingreen shrubs 8 Summergreen shrubs 9 C3 natural grasses 10 C4 natural grasses 11 Tundra 12 Crop 13 C3 pasture 14 C4 pasture
DOI: 10.17632/c5s6zk2rmz.2
title: Dataset of Local evaporation controlled by regional atmospheric circulation in the Altiplano of the Atacama Desert

description: These data correspond to that presented in the manuscript "Local evaporation controlled by regional atmospheric circulation in the Altiplano of the Atacama Desert" by Lobos et al. These data were collected in the E-DATA field campaign, performed in the Salar del Huasco, Chile, on November 2018.
DOI: 10.17632/d5kzm92nn3.1
title: Stable water isotope monitoring network of different water bodies in Shiyang River Basin, a typical arid river in China (Supplemental Edition 20210808)

description: Data set of isotopes of different water bodies (precipitation, surface water, groundwater,soil water, and plant water) in the Shiyang River Basin from 2015 to 2019. A total of 52 monitoring points were set up in the Shiyang River Basin , among which 35 were upstream, 6 in the midstream, and 11 in the downstream. 6,760 samples have been obtained, including 1,210 precipitation samples (P1-P12), 1,101 surface water samples (S1-S35), 161 groundwater samples (G1-G17), 3,779 soil water samples (S1-S18), and 509 plant water samples (P1-P12).
DOI: 10.17632/nh57cz4gys.1
title: A Greenland-wide empirical reconstruction of paleo ice-sheet retreat informed by ice extent markers: PaleoGrIS version 1.0

description: The PalaeoGrIS 1.0 database: a Greenland-wide isochrone reconstruction of ice-sheet margin retreat during the Late-glacial and Holocene periods. 

This open-access database includes: 

1-A geochronological database of TCN exposure dating and Radiocarbon dating ages compiled (excel tables and shapefiles)
2-The PaleoGrIS 1.0 reconstruction isochrones (NetCDF and Shapefile formats)
3-The PaleoGrIS 1.0 database of geomorphological landforms mapped as part of this project (ice-marginal landforms)
4-The PaleoGrIS 1.0 poster (A0 format) for quick visualisation of reconstruction and data. 

Please make sure to cite original publication when using these data : https://doi.org/10.5194/cp-2023-60
DOI: 10.35097/1833
title: Version 8 IMK/IAA MIPAS measurements of HCFC-22: the data set

description: The data set comprises CFC-22 data of the Earth's middle atmosphere region for the years 2002-2012 as derived from MIPAS on Envisat and retrieved with the IMK/IAA level-2 processor. The MIPAS observation modes FR (2002 - 2004, F-22_61), RR-NOM (2005 - 2012, F-22_261), RR-UTLS-1 (2005 - 2007, F-22_161), and RR-MA (2005 - 2012, F-22_561) are covered. The data version is V8.
description: The data is delivered as a set of yearly archive files with each archive containing monthly netCDF files of the respective year.
DOI: 10.35097/1835
title: Version 8 IMK/IAA MIPAS measurements of CFC-11: the data set

description: The data set comprises CFC-11 data of the Earth's middle atmosphere region for the years 2002-2012 as derived from MIPAS on Envisat and retrieved with the IMK/IAA level-2 processor. The MIPAS observation modes FR (2002 - 2004, F-11_61), RR-NOM (2005 - 2012, F-11_261), RR-UTLS-1 (2005 - 2007, F-11_161), and RR-MA (2005 - 2012, F-11_561) are covered. The data version is V8.
description: The data is delivered as a set of yearly archive files with each archive containing monthly netCDF files of the respective year.
DOI: 10.5281/zenodo.14629927
title: Ross Ice Shelf Front Positions from Sentinel 1

description: This dataset contains the time series of the front position of Ross Ice Shelf between 2015 and 2023 for three different locations: (77.77°S, 178.35°E), (77.82°S, 178.43°W), and (78.26°S, 175.12°W). The data were manually extracted from sentinel-1 imagery.
DOI: 10.5281/zenodo.4784286
title: INEMA: High resolution inventory of atmospheric emissions from Anthrophogenic sectors in Chile

description: <strong>Brief description</strong> This study presents the first high-resolution national inventory of anthropogenic emission for Chile (INEMA from spanish Inventario Nacional de EMisiones Antropogénicas). INEMA emission dataset considers emissions for Vehicular, point sources (industrial, energy, and other sectors), residential, forest fires, and agricultural waste burning sectors estimated for 2015–2020 and spatially distributed onto a 0.01°x0.01° high-resolution grid. For all sectors, the pollutants included are CO2, NOx, SO2, CO, VOCs, NH3, PM10, and PM2.5. Also, CH4, N2O, and black carbon (BC) are included for transport, forest fires, agricultural waste burning, and residential sources. Emissions are classified on IPCC categories: Sector IPCC codes Energy production 1A1 Industrial Energy consumption 1A2 On road transport energy consumption 1A3b Comercial energy consumption 1A4a residential firewood consumption 1A4b Agriculture energy consumption 1a4c Industrial processes 2 Agriculture waste burning 3F Forest fires 4A1b.iii This work compiles new activity data and emissions factors and distributes them geographically based on census, Chile´s road network and CONAF information. To consult the main methodological considerations and results of the previous version of INEMA, review the article by Alamos et al.(2022). This inventory should contribute to the design of policies that seek to mitigate climate change and improve air quality by providing policy makers, stakeholders and scientists with qualified scientific spatial explicit emission information. <strong>Metadata</strong> Each .tar file contain netcdf (.nc) files for each pollutant of the sector and year of the .tar file. Netcdf contains annual total emissions for the pollutant and year indicated per grid cell The emission grid consists of Chilean territory in WGS84 projection (lon-lat) with a spatial resolution of 0.01 * 0.01 degrees (lon x lat). The extension boundaries of the grid are: [(-76-56.3), (-66,-17)] The unit in the .nc files is Gigagrames per year [Gg/year] <strong>The dataset is described in </strong> Álamos, N., Hunneus, N., Opazo, M., Osses, M., Puja, S., Pantoja, N., Calvo, R., Denier Van Der Gon, H.A.C., Schueftan, A., Reyes, R., High-resolution inventory of atmospheric emissions from transport, industrial, energy, mining and residential activities in Chile. <em>Earth System Science Data</em>, <em>14</em>(1), 361-379. 2022
DOI: 10.5281/zenodo.5465253
title: Synthetic soil temperature time-series

description: The synthetic experiments are implemented to investigate the impact of different environmental conditions on the uncertainty of thermal diffusivity estimates. We generate synthetic temperature fields that represent various types of temperature gradients and fluctuations. This is achieved through forward modeling (i.e., heat-conduction process in a heterogeneous medium using an explicit finite difference method) with initial, top, and bottom boundary conditions set equal to the temperature time series observed at a monitoring site in Alaska during summer (synthetic_data_summer.csv ) and autumn (synthetic_data_autumn.csv ), and by assuming a soil column composed of three layers (i.e., top layer at 0.05–0.1 m, middle layer at 0.1–0.42 m, and bottom layer at 0.42–1.05 m). The thermal diffusivity in the three layers is assumed to be constant over time and equal to 0.16, 0.27 and 0.43 mm<sup>2</sup>s<sup>−1</sup> for the case of summer temperatures and 0.25, 0.75 and 0.6 mm<sup>2</sup>s<sup>−1</sup> for autumn. Each .csv file has 14 columns: first column containes information on the date and time on which temperature was recorded, the remaining 13 columns are soil temperature at 0.05, 0.10, 0.15, 0.20 0.25, 0.35, 0.45, 0.55, 0.65, 0.75, 0.85, 0.95 and 1.05 m below the ground surface. Impact of soil temperature trend and fluctuations on thermal diffusivity estimates is evaluated for various synthetic temperature fields including (a) summer trend and fluctuations (synthetic_data_summer.csv ), (b) detrended fluctuations (synthetic_data_summer_detrended.csv ), (c) smoothed out daily and smaller fluctuations (synthetic_data_summer_noDiurnalFluct.csv), and (d) without fluctuations (synthetic_data_summer_noFluct.csv ).
DOI: 10.5281/zenodo.5569559
title: Supplementary material for Dynamics of Rare Earths and associated major and trace elements during Douglas-fir (Pseudotsuga menziesii) and European beech (Fagus sylvatica L.) litter degradation

description: Database and figures related to the results that are presented in the manusciript Montemagno et al. that will be submitted as research paper in the journal Copernicus/Biogeosciences. Title of the submission: Dynamics of Rare Earth Elements and associated major cations during Douglas-fir (Pseudotsuga menziesii) and European beech (Fagus sylvatica L.) litter degradation. Authorship: Alessandro Montemagno<sup>1,3</sup>, Christophe Hissler<sup>1</sup>, Johanna Ziebel<sup>2</sup>, Victor Bense<sup>3</sup>, Laurent Pfister<sup>1</sup>, Adriaan J. Teuling<sup>3</sup> <sup>1</sup>CATchment and ecohydrology research group (CAT/ENVISION/ERIN), Luxembourg Institute of Science and Technology, Belvaux, 4408, Luxembourg <sup>2</sup>Biotechnologies and Environmental Analytics Platform (BEAP/ERIN), Luxembourg Institute of Science and Technology, Belvaux, 4408, Luxembourg <sup>3</sup>Department of Environmental Sciences, subdivision Hydrology and Quantitative Water Management (HWQM), Wageningen University and Research, Droevendaalsesteeg 4, Wageningen, 6708 PB, The Netherlands <em>Correspondence: </em>Alessandro Montemagno (alessandro.montemagno@list.lu), Christophe Hissler (christophe.hissler@list.lu)
DOI: 10.5281/zenodo.5655797
title: Monthly averaged 1-km gap-free AOD, PM2.5, and PM10 grids in China, v1 (2000–2020)

description: A Long-term Gap-free High-resolution Air Pollutants concentration dataset (abbreviated as LGHAP) is of great significance for environmental management and earth system science analysis. In the current release of LGHAP aerosol dataset (LGHAP.v1), we provide 21-year-long (2000–2020) gap free AOD, PM2.5 and PM10 concentration data with monthly 1-km resolution covering the land area of China. The dataset was generated from the daily gap free AOD (https://doi.org/10.5281/zenodo.5652257) that was derived through an integration of a set of data tensors of AOD and other related datasets such as air pollutants concentration and atmospheric visibility acquired from diversified sensors or platforms via a machine learned regression model. The dataset was provided in the NetCDF format, while data in each individual year were archived in a zip file. Python, Matlab, R, and IDL codes were also provided to help users read and visualize the LGHAP data.
DOI: 10.5281/zenodo.5801900
title: Data for : "Three months of combined high resolution rainfall and wind data collected on a wind farm"

description: The data set corresponds the data presented in the data paper : “Three months of combined high resolution rainfall and wind data collected on a wind farm “ Earth System Science Data” (https://www.earth-system-science-data.net/). More details can be found in the Read_me_v1.txt file and in the paper.
DOI: 10.5281/zenodo.5850264
title: HomogWS-se: A century-long homogenized dataset of near-surface wind speed observations since 1925 rescued in Sweden

description: Creating a century-long homogenized near-surface wind speed (WS) observation dataset is essential to improve our knowledge about the uncertainty and causes of WS stilling and recovery. We rescued paper-based WS records dating back to the 1920s at 13 stations in Sweden and established a four-step homogenization procedure to generate the first 10-member centennial homogenized WS dataset (HomogWS-se) for community uses among climatology, ecology, hydrology and energy industry. HomogWS-se can be used to study the WS variability and change, assess climate reanalysis, and constrain climate simulations for better future projection of changes in the WS and wind energy potential. HomogWS-se contains 13 individual text files with 10-member century-long homogenized monthly WS series, as well as the member-mean series.
description: {"references": ["Zhou, C., C. Azorin-Molina, E. Engstr\u00f6m, L. Wern, S. Hellstr\u00f6m, and D. Chen, 2022: A century-long homogenized dataset of near-surface wind speed observations since 1925 rescued in Sweden. Earth Syst. Sci. Data, 1-24, 10.5194/essd-2022-29."]}
DOI: 10.5281/zenodo.6412303
title: colab_zirc_dims: full results, datasets, and replication code repository

description: Repository for results, full datasets (training and grain measurement), and replication code for the colab_zirc_dims manuscript, with additional copy of the "czd large" training dataset. Updated for manuscript resubmission.
DOI: 10.5281/zenodo.6831384
title: Flood Detection Using GRACE Terrestrial Water Storage and Extreme Precipitation

description: The flood day products were derived from GRACE Terrestrial Water Storage and Extreme Precipitation. We used GRACE terrestrial water storage and precipitation data combined with high-frequency filtering, anomaly detection and flood potential index methods to successfully extract historical flood days globally between Apr. 1st, 2002, and Aug. 31st, 2016, and further compared and validated the results with Dartmouth Flood Observatory (DFO) data, Global Runoff Data Centre (GRDC) discharge data, news reports and social media data. The results showed that GRACE-based flood days could cover 81% of the flood events in the DFO database, 87% of flood events extracted by MODIS and supplement many additional flood events not recorded by the DFO. Moreover, the probability of detection greater than or equal to 0.5 reached 62% among 261 river basins compared to flood events derived from the GRDC discharge data. These detection capabilities and detection results are both good. We finally provided flood day products with 1° spatial resolution covering the range of 60°S—60°N from Apr. 1st, 2002, to Aug. 31st, 2016. This research provides a data foundation for the mechanistic analysis and attribution of global flood events.
DOI: 10.5281/zenodo.7014332
title: GSDM-WBT: Global station-based daily maximum wet-bulb temperature data for 1981-2020

description: The wet-bulb temperature integrates the temperature and humidity to comprehensively describe the thermal environment and the energy regulation of human bodies. Daily maximum wet-bulb temperature is an important indicator to be used for research on extreme humid heat. GSDM-WBT is a new dataset of global station-based daily maximum wet-bulb temperature, which was produced through calculating wet-bulb temperature, data quality control, infilling missing values and homogenisation based on the HadISD station-based observations and the NCEP-DOE reanalysis data. GSDM-WBT covers the complete daily series of 1834 stations around the world from 1981 to 2020. We provide the NetCDF files of GSDM-WBT for each station and one compressed file containing all data.
DOI: 10.5281/zenodo.7890953
title: Beamtime ES-1145

description: This dataset contains all the raw XRD data of beamtime ES-1145 at ESRF. A logbook describing samples, experimental conditions, scan numbers, etc. is included.
DOI: 10.5439/1025309
title: ARM: Total Sky Imager (TSI): sky image (JPEG)

description: Total Sky Imager (TSI): sky image (JPEG)
DOI: 10.5683/sp2/s2hbar
title: Replication Data for "The Ice-Vapor Interface During Growth and Sublimation"

description: The dataset contains Environmental Scanning Electron Microscopy (ESEM) images acquired in water vapor to study the complete scenario of ice growth, coalescence of crystallites, polycrystalline film morphology and sublimation, in the temperature range of 10ºC to 20ºC.
DOI: 10.6084/m9.figshare.13169498
title: Binary Collisions Data

description: Data from experiments investigating attrition due to binary collision of two particles.
DOI: 10.6096/13
title: Accelerated global glacier mass loss in the early twenty-first century - Dataset.

description: 1/ Extended Data Tables of the paper; 

2/ Cumulative and rate time series of glacier elevation change, volume change and mass change aggregate for global, regions (RGI regions O1 and O2, HiMAP), tiles (0.5x0.5°, 1x1°, 2x2° and 4x4°) and per individual glacier for the period 2000-2019 (.csv); 

3/ Elevation change maps at 100 m resolution for all glaciers and within a 10 km buffer for 5-, 10-year and 20-year periods (.tif)
DOI: 10.11581/dtu:00000057
title: The Polar Cap North (PCN) index

description: The Polar Cap (PC) index consists of the Polar Cap North (PCN) and the Polar Cap South (PCS) indices, which are derived from magnetic measurements taken at the geomagnetic observatories in Qaanaaq (THL, Greenland, +85o magnetic latitude) and Vostok (VOS, Antarctica, -83o magnetic latitude), respectively.
These indices are used to estimate the intensity of anti-sunward plasma convection in the polar caps. This convection is associated with electric Hall currents and consequent magnetic field variations perpendicular to the anti-sunward plasma flow (and related Hall current). These magnetic field variations are monitored at the Qaanaaq and Vostok magnetic observatories.
The PC index aids in monitoring the energy input from solar wind to the magnetosphere (loading activity). The index is constructed in such a way that it has a linear relationship with the merging Electric Field at the magnetopause; consequently, the PC index is given in units of mV/m as for the electric field.
DOI: 10.1594/pangaea.56040
title: Parameters of the Earths orbit for the last 5 Million years in 1 kyr resolution

description: New values for the astronomical parameters of the Earth's orbit and rotation (eccentricity, obliquity and precession) are proposed for paleoclimatic research related to the Late Miocene, the Pliocene and the Quaternary. They have been obtained from a numerical solution of the Lagrangian system of the planetary point masses and from an analytical solution of the Poisson equations of the Earth-Moon system. The analytical expansion developed in this paper allows the direct determination of the main frequencies with their phase and amplitude. Numerical and analytical comparisons with the former astronomical solution BER78 are performed so that the accuracy and the interval of time over which the new solution is valid can be estimated. The corresponding insolation values have also been computed and compared to the former ones. This analysis leads to the conclusion that the new values are expected to be reliable over the last 5 Ma in the time domain and at least over the last 10 Ma in the frequency domain.
description: Supplement to: Berger, A; Loutre, Marie-France (1991): Insolation values for the climate of the last 10 million of years. Quaternary Science Reviews, 10(4), 297-317
DOI: 10.1594/pangaea.924916
title: Electromagnetic induction raw data (EM Bird) of POLAR 6 during 2020 IceBird MOSAiC Summer campaign

description: Raw EM data obtained during the 2020 IceBird MOSAiC Summer campaign using the research aircraft POLAR 6. Data was gathered during two test flights over open water (August 05 and 31) and three flights from Longyearbyen, Svalbard over sea ice in the western and northern Fram Strait on September 02, 07, and 08, 2020.
DOI: 10.21413/iasi-ft_metopa_atp_l3_latmos-ulb
title: IASI Atmospheric Temperature Profiles (ATP) from IASI-Metop-A

description: The IASI atmospheric temperature profiles product (IASI ATP) is a daily 1°x1° global dataset of atmospheric temperatures derived from all IASI radiance observations. The temperatures profiles are given on 11 static pressure levels from 750 to 2 hPa. The method used to retrieve atmospheric temperatures from IASI radiances is detailed in Bouillon et al., 2021 (to be submitted very soon). It relies on an Artificial Neural Network (ANN) trained with 450 000 observations (IASI observations and NOAA-CO2 in input, ERA5 observations in output. The trained ANN was applied to reprocessed IASI L1C data, in order to produce a homogeneous atmospheric temperature record from 2008 to present. The dataset consists of daily mean NETCDF files of around 3 MB each (total 14 GB for the 2008-2017 period available to date). Each file includes the gridded daily atmospheric temperature profiles (day and night mixed together). Missing values are set at NaN. Size of the grids: 90 lines (from -89.5 to 89.5 °N), 180 columns (from -179.5 to 179.5 °E), 11 aisles (pressure levels: 2, 7, 10, 30, 20, 70, 100, 200, 400, 550 and 750 hPa). Unit: K.
description: The method is based on an artificial neural network (ANN) technique, trained to compute atmospheric temperatures from spectral radiances. For the training of the ANN, 450 000 IASI observations, and the corresponding ERA5 temperature profiles, were selected randomly over the period 2008-2020. The trained ANN was then applied to compute atmospheric temperatures from all IASI/Metop-A observations from 2007-07-10 to 2017-12-31 and all IASI/Metop-B observations from 2018-01-01 to 2020-12-31.
description: Product data level : "L3" (daily 1°x1° grid)
description: https://iasi.cnes.fr/
description: Publication: Bouillon, M., Safieddine, S., Whitburn, S., Clarisse, L., Aires, F., Pellet, V., Lezeaux, O., Scott, N., Doutriaux-Boucher, M. and Clerbaux, C. (2021). Time evolution of temperature profiles retrieved from 13 years of IASI data using an artificial neural network. (to be submitted soon in Atmospheric Measurement Techniques journal)