cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3764502
title: TLS measurements in the Qinghai-Tibet Engineering Corridor

description: Deformation monitoring was performance using a TLS with network RTK (Real-Time Kinematic) service provided by national geodetic control network (NGCN) for the China geodetic coordinate system 2000 (CGCS 2000) of permanent reference stations for GNSS (Global Navigation Satellite System). As a supplement to the TLS point cloud data, we prepared the Sentinel-1 deformation data for the freeze-thaw stage in the study area from 2014 to 2020 using Interferometric Synthetic Aperture Radar (InSAR) technology.
DOI: 10.5281/zenodo.4458868
title: A new merged dataset for analyzing clouds, precipitation and atmospheric parameters based on ERA5 reanalysis data and the measurements of TRMM PR and VIRS

description: This new merged gridded dataset (M-1B01-2A25-GD) contains precipitation, clouds and atmospheric parameters with 0.25° spatial resolution. It is produced by merging TRMM PR and VIRS measurements with the ERA5 reanalysis dataset at the same spatiotemporal resolution between 40° S and 40° N. The near-surface rain rate, profiles of rain rate and precipitation reflectivity factor, visible and infrared signals and atmospheric parameters (temperature, pressure, geopotential height, specific humidity, divergence, vertical velocity and so on) can be obtained in the dataset. The statistical results indicate that the merging and gridding will not dramatically distort the original data and the new dataset can be used to study the characteristics and distribution of the precipitation and clouds systems.
description: This research was supported by the National Natural Science Foundation of China (Grants 91837310, 41675041)
DOI: 10.5281/zenodo.4513854
title: Reactive nitrogen fluxes over peatland (Bourtanger Moor) and forest (Bavarian Forest National Park) using micrometeorological measurement techniques

description: Within the framework of the research projects NITROSPHERE and FORESTFLUX, field campaigns were carried out to investigate the biosphere-atmosphere exchange of reactive nitrogen compounds. We applied novel fast-response instruments in eddy-covariance setups for continuous determination of surface ammonia (NH<sub>3</sub>) and total reactive nitrogen (\(\Sigma\)N<sub>r</sub>) fluxes using two different analytical devices. While high-frequency measurements of ammonia were measured with a quantum cascade laser absorption spectrometer (QCL), a custom-built converter called TRANC coupled to a chemiluminescence detector was used for the determination of total reactive nitrogen. High-resolution data of surface-atmosphere fluxes of reactive compounds are still scarce, but highly desired for testing and validating local inferential and larger scale models. We provide access to campaign data including concentrations, fluxes and ancillary measurements of meteorological data. Campaigns were conducted in natural (forest) and semi-natural (peatland) ecosystem types. The published datasets stress the importance of recent advancements in laser spectrometry and help improve our understanding of the temporal variability of surface-atmosphere exchange in different ecosystems, thereby providing validation opportunities for inferential models simulating the exchange of reactive nitrogen.
description: A dataset description paper with the title "Reactive nitrogen fluxes over peatland and forest ecosystems using micrometeorological measurement techniques" has been published in the journal Earth System Science Data (https://essd.copernicus.org/articles/14/743/2022/).
DOI: 10.5281/zenodo.5523389
title: RFR-CCS: A monthly surface pCO2 product for the California Current Large Marine Ecosystem

description: <strong>Description</strong> RFR-CCS is a monthly data product of surface pCO2 for the California Current Large Marine Ecosystem. It was built using pCO2 observations from the Surface Ocean CO2 Atlas, fit against a variety of driver variables (sources of which are listed below) using a Random Forest Regression, and provided on a 0.25 degree resolution grid from January 1998 to December 2020. <strong>Citation</strong> If using this product, please also cite the original manuscript: Sharp, J.D., Fassbender, A.J., Carter, B.C., Lavin, P.D., and Sutton, A.J. A monthly surface pCO2 product for the California Current Large Marine Ecosystem. Earth System Science Data, 14, 2081–2108, 2022. doi: 10.5194/essd-14-2081-2022. <strong>Driver Variables (figshare)</strong> 1. Sea Surface Temperature: OISSTv2 2. Sea Surface Salinity: ECCO2 3. Chlorophyll-a: Oregon State (via NASA) 4. Wind Speed: ERA5 5. Atmospheric pCO2: NOAA MBL 6. Mixed Layer Depth: HYCOM 7. Distance from Shore: Calculated from latitude and longitude (dist2coast, Climate Data Toolbox) 8. Year 9. Month of Year
DOI: 10.5281/zenodo.5627369
title: A Global Dataset of Standardized Moisture Anomaly Index Incorporating Snow Dynamics (SZIsnow) from 1948 to 2010

description: The SZI<sub>snow</sub> dataset was calculated based on systematic physical fields from the Global Land Data Assimilation System Version 2 (GLDAS-2) with the Noah land surface model. This SZI<sub>snow</sub> dataset considers different physical water-energy processes, especially snow processes. The evaluation shows the dataset is capable of investigating different types of droughts across different timescales. The assessment also indicates that the dataset has an adequate performance to capture droughts across different spatial scales. The consideration of snow processes improved the capability of SZI<sub>snow</sub>, and the improvement is evident over snow-covered areas (e.g., Arctic region) and high-altitude areas (e.g., Tibet Plateau). Moreover, the analysis also implies that SZI<sub>snow</sub> dataset is able to well capture large-scale drought events across the world. This drought dataset has high application potential for monitoring, assessing, and supplying information on drought, and also can serve as a valuable resource for drought studies.
DOI: 10.5281/zenodo.7413640
title: Synchronous observation of aerosol at Mt. Hua

description: The filed observations were synchronously conducted at mountainside and mountain foot sampling sites of Mt. Hua during the period from 27 August to 17 September 2016. And we found that nitrate and ammonium exhibited distinct physicochemical behaviors in transport process. The dataset includes meteorological data and hourly PM<sub>2.5</sub>, NO<sub>2</sub> and O<sub>3</sub> mass concentrations.
DOI: 10.5281/zenodo.7507087
title: Doppler spectra collected by a transect of three MRR-PRO during the POPE 2020 campaign at Princess Elisabeth Antarctica

description: This repository contain the datasets of Doppler spectra collected by three K-band Doppler profiling radars (MRR-PRO) deployed in a transect across the Sør Rondane Mountains, in the vicinity of the Belgian research base Princess Elisabeth Antarctica (PEA). The measurement campaign has been conducted by the Environmental Remote Sensing Laboratory (LTE) of the École Polytechnique Fédérale de Lausanne (EPFL), with the logistical support of the International Polar Foundation (IPF). The datasets are described in the article “Radar and ground-level measurements of clouds and precipitation collected during the POPE 2020 campaign at Princess Elisabeth Antarctica”, by Alfonso Ferrone and Alexis Berne. The article was submitted to Earth System Science Data in August 2022, and is available at the following URL: https://doi.org/10.5194/essd-2022-295 . This repository complements "Radar and ground-level measurements collected during the POPE 2020 campaign at Princess Elisabeth Antarctica", uploaded on Zenodo at: https://doi.org/10.5281/zenodo.7428690 . The radar variables in the MRR-PRO data files contained in the latter have been computed from the raw spectra stored in the current repository. <strong>Content of the archives</strong> - <em>MRR_PRO_23_raw_spectra.zip,</em><br> This archive contains the Doppler spectra collected by the MRR-PRO 23, deployed at the lowest altitude in the transect, at1543 m above mean sea level (a.m.s.l.), at the following coordinates: latitude 72° 6’ 50.4” S, longitude 23° 30’ 50.4” E. - <em>MRR_PRO_06_raw_spectra.zip,</em><br> This archive contains the Doppler spectra collected by the MRR-PRO 06, deployed at approximately 2000 m a.m.s.l. of altitude, at the following coordinates: latitude 72° 7’ 4.8” S, longitude 23° 20’ 49.2” E. - <em>MRR_PRO_22_raw_spectra.zip,</em><br> This archive contains the Doppler spectra collected by the MRR-PRO 22, deployed at the highest location in the transect (2360 m a.m.s.l.), at the following coordinates: latitude 72° 13’ 37.2” S, longitude 23° 11’ 27.6” E. <strong>Content of the NetCDF4 files</strong> A “short name” is associated to each variables in the NetCDF4 files stored in the three archives. The relevant variables in each data file are:<br> – the raw spectral power, identified in the files by the short name “spectrum_raw”;<br> – the transfer function, used to convert the raw spectral power to spectral reflectivity, as described in Ferrone et al. (2022), and identified in the files by the short name “transfer_function”. <strong>References</strong> Ferrone, A., Billault-Roux, A.-C., and Berne, A.: ERUO: a spectral processing routine for the Micro Rain Radar PRO (MRR-PRO), Atmospheric Measurement Techniques, 15, 3569–3592, https://doi.org/10.5194/amt-15-3569-2022, 2022 Ferrone, A., and Berne, A., Radar and ground-level measurements collected during the POPE 2020 campaign at Princess Elisabeth Antarctica (1.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7428690, 2023
DOI: 10.5281/zenodo.8337387
title: The global marine free air gravity anomaly model SDUST2022GRA

description: SDUST2022GRA.nc is the global marine free air gravity anomaly model covering 80°S~82°N and 0~360°E on 1′×1′ grids. SDUST2022GRA is recovered from multi-radar and ICESat-2 laser altimeter data to investigate the contribution of ICESat-2.
DOI: 10.5285/0aa1ec0cf18e4065bdae8ae39260fe7d
title: MOASA Clean Air Project: airborne atmospheric measurements collection

description: A long-term quality assured dataset of the three-dimensional distribution of pollutants (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) collected over southern UK, from August 2019 to April 2022, using the instrumented Met Office Atmospheric Survey Aircraft (MOASA). It includes 60 flights (totalling over 153 hours of atmospheric sampling), across 8 repeatable sorties made for the MOASA Clean Air project. Data are presented as one NetCDF file per flight, containing quality assured, time synchronised, three-dimensionally geo-located time-series of observed pollutants. To ensure optimal traceability and transparency of data, comprehensive metadata is included for each flight, detailing any calibration constants and/or corrections applied to data alongside general information about the data and instruments. A full list of NetCDF variables can be found in “Long-term airborne measurements of pollutants over the United Kingdom to support air quality model development and evaluation”, A. Mynard et al, 2023. This paper also provides a technical introduction to the MOASA measurement platform, information on instrumentation, flight strategies and data, as well as example case studies comparing flight observations to the Met Office Air Quality in the Unified Model (AQUM) and the ground based Automated Urban and Rural Network. This paper should be referenced in any research/publications pertaining from this dataset.
DOI: 10.5285/5f75fcb0c58740d99b07953797bc041e
title: ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Sea Ice Concentration Climate Data Record from the AMSR-E and AMSR-2 instruments at 50km grid spacing, version 2.1

description: The dataset provides a Climate Data Record of Sea Ice Concentration (SIC) for the polar regions, derived from medium resolution passive microwave satellite data from the Advanced Microwave Scanning Radiometer series (AMSR-E and AMSR-2). It is processed with an algorithm using coarse resolution (6 GHz and 37 GHz) imaging channels, and has been gridded at 50km grid spacing. This version of the product is v2.1, which is an extension of the version 2.0 Sea_Ice_cci dataset and has identical data until 2015-12-25. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea_Ice_CCI project. The EUMETSAT OSI SAF contributed with access and re-use of part of its processing software and facilities. A SIC CDR at 25km grid spacing is also available.
DOI: 10.5439/1027280
title: ARM: Derived: Aerosol intensive properties from AOS, Delene and Ogren et al, 2001

description: Derived: Aerosol intensive properties from AOS, Delene and Ogren et al, 2001
DOI: 10.5439/1095603
title: ARM: Ka ARM Zenith Radar (KAZR): filtered spectral data, moderate sensitivity mode, co-polarized mode

description: Ka ARM Zenith Radar (KAZR): filtered spectral data, moderate sensitivity mode, co-polarized mode
DOI: 10.5440/1881334
title: DGPS measurements of solifluction and hillslopes creep at the Teller 47 field site from 2017-2022, Seward Peninsula, AK

description: DGPS measurements of benchmarks locations were collected during the 2017, 2018, 2019, 2021 and 2022 summers at the NGEE Arctic Teller-47 solifluction site on the Seward Peninsula, Alaska. Benchmarks were installed in 2017 on several solifluction lobes and hillslope locations and re surveyed in 2018 and 2019 with a Trimble R10 DGPS instrument. In 2018, coincident with a UAS-based laser altimetry collection campaign, more ground control targets were installed and subsequently remeasured in 2019. Additional ground control targets were installed in 2021. Points were corrected using NOAA’s Online Positioning User Software (OPUS) and Trimble Business Center (TBC) software. An update to this dataset was made in July 2024, adding new data from 2021 and 2022. The dataset now contains ten total *.csv files: five are data files plus one file-level metadata and five data dictionaries, two *.jpg, four shape file folders, two *.kml, one archive folder of raw data, and one *.pdf. The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.57966/0j71-8d56
title: Global Gridded Agricultural Gross Domestic Product (AgGDP)
DOI: 10.6075/j0kd1z35
title: Scripps Argo Trajectory-Based Velocity Product

description: This dataset contains absolute velocity estimates from quality controlled Argo trajectory files. Both Scripps trajectory products include trajectories from Core, BGC and Deep Argo floats starting in 2001. Only trajectories with cycles ranging from 5 - 25 days are included in the products. The products include both a transmitted and extrapolated trajectory-based velocity (if available) for each cycle. The extrapolated velocities are only available for floats equipped with the Argos positioning system which have six or more good quality surface fixes. PRODUCTS: There are two product netCDF files within the archive: - Quality controlled Argo trajectory-based velocities within the 800 - 1200 db range - Quality controlled Argo trajectory-based velocities within the 100 - 6200 db range
DOI: 10.6084/m9.figshare.13331066.v1
title: Concentration data for aerosol impact on oxidants

description: O3, HOx, NOx, SO4 data from Westervelt et al. (2021)
DOI: 10.15138/6av0-my81
title: NOAA AirCore atmospheric sampling system profiles
DOI: 10.1594/pangaea.738850
title: Pollen profile N-PEQ, Salada Pequeña, Spain

description: The EPD (http://www.europeanpollendatabase.net) accepted species name is given in the parameter comment. This dataset was archived on 2010-05-11 from the EPD database.
DOI: 10.5281/zenodo.3940326
title: Model code and data for "Mitigation of the double ITCZ syndrome in BCC-CSM2-MR through improving parameterizations of boundary-layer turbulence and shallow convection" by Lu et al., submitted to Geoscientific Model Development, https://doi.org/10.5194/gmd-2020-40, in review, 2020.

description: Description of the files: “BCC_CSM2_MR.code.tar” contains the codes and run scripts for the medium-resolution Beijing Climate Center Climate System Model version 2 (BCC-CSM2-MR). Detailed description of the model refers to the paper “The Beijing Climate Center Climate System Model (BCC-CSM): the main progress from CMIP5 to CMIP6” by Wu et al., Geosci. Model Dev., 12, 1573–1600, https://doi.org/10.5194/gmd-12-1573-2019, 2019. “BCC_CSM2_MR.inputdata.tar” contains the input data needed to run the model. “REF_amip.rar” contains the output data from the REF_amip experiment. “NEW_amip.rar” contains the output data from the NEW_amip experiment. “REF_cmip.rar” contains the output data from the REF_cmip experiment. “NEW_cmip.rar” contains the output data from the NEW_cmip experiment. “UWMT_amip.rar” contains the output data from the UWMT_amip experiment. “mHack_amip.rar” contains the output data from the mHack_amip experiment.
DOI: 10.5281/zenodo.4668613
title: A case study of wind farm effects using two wake parameterizations in WRF (V3.7.1) in the presence of low level jets

description: This repository contains all files required to reproduce the GMD study "A case study of wind farm effects using two wake parameterizations in WRF (V3.7.1) in the presence of low level jets". It contains model source code and configuration files, post-processing data and scripts. For more information see README.md in the zip-archive.
description: This study is supported by the Danish ForskEL/EUDP project "Large Scale Offshore Wake Impact on Danish Power System" (PSO-12521, EUDP 64017-0017)
description: {"references": ["Lars\u00e9n, X. G. and Fischereit, J.: A case study of wind farm effects using two wake parameterizations in WRF (V3.7) in the presence of low level jets, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2020-358, in review, 2020"]}
DOI: 10.5281/zenodo.5638236
title: Vertical profiles of leaf photosynthesis and leaf traits, and soil nutrients in two tropical rainforests in French Guiana before and after a three-year nitrogen and phosphorus addition experiment

description: We provide a comprehensive dataset of vertical profiles of photosynthetic capacity and important leaf traits, including leaf N and P concentrations, from two three-year, large-scale fertilisation experiments conducted in two tropical rainforests in French Guiana. These data present a unique source of information to further improve model representations of the roles of N, P, and other leaf nutrients, in photosynthesis in tropical forests. To further facilitate the use of our data in syntheses and model studies, we provide an elaborate list of ancillary data, including important soil properties and nutrients, along with the leaf data. As environmental drivers are key to improve our understanding of carbon (C)-nutrient cycle interactions, this comprehensive dataset will aid to further enhance our understanding of how nutrient availability interacts with C uptake in tropical forests.
DOI: 10.5281/zenodo.7034956
title: IT-SNOW: a snow reanalysis for Italy blending modeling, in-situ data, and satellite observations

description: IT-SNOW is a serially complete and multi-year snow reanalysis for Italy. The dataset includes daily maps of Snow Water Equivalent (SWE), snow depth (HS), bulk-snow density (RhoS), and liquid water content (Theta_W). Data are organized in monthly netCDF files, each providing time and lat/lon information for georeference. Units are as follows: HS is in cm, SWE is in mm w.e., RhoS is in kg/m3, and Theta_W is in %. Note that maps are instantaneous snapshots at 11AM UTC, here assumed as representative values for the day. As the output of an operational chain employed in real-world civil-protection applications (S3M Italy), IT-SNOW ingests input data from thousands of automatic weather stations, snow-covered-area maps from Sentinel 2, MODIS, and H-SAF products, and maps of snow depth from the spazialization of 350+ on-the-ground snow-depth sensors. Additional information are available in the following paper submitted to Earth System Science Data: "IT-SNOW: a snow reanalysis for Italy blending modeling, in-situ data, and satellite observations (2009-2021)", Francesco Avanzi et al., 2022. The initial time span of data is September 1, 2010 to August 31, 2021, with future updates envisaged on an annual basis. LICENSE INFORMATION IT-SNOW is distributed under a CC BY-NC 4.0 license. you are free to: 1. Share — copy and redistribute the material in any medium or format; <br> 2. Adapt — remix, transform, and build upon the material; under the following terms: a. Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.<br> b. NonCommercial — You may not use the material for commercial purposes. <br> DATA ARE PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THESE DATA, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. For details about the CC BY-NC 4.0 license, see: https://creativecommons.org/licenses/by-nc/4.0/deed.en