cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/92kzf5t5xn.1
title: Long-term (1960-2017) simulation of Lake Champs-sur-Marne with Delft3D-FLOW: model configuration and results

description: This data set is relative to the article “The thermal response of small and shallow lakes to climate change: new insights from 3D hindcast modelling” (Piccioni et al., ESD, 2021). The Delft3d-FLOW module from the Delft3D modeling package (version 4.01.01.rc.03) was used to simulate and reconstruct the hydrodynamics of Lake Champs-sur-Marne (France, lat.: 48.864035, long.: 2.596436) during a 58 year-long period going from 1960 to 2017, in order to investigate the time and spatial evolution of its thermal regime. The model is forced with hourly meteorological data of relative humidity [%], air temperature [°C], net solar radiation [J.s-1.m-2], wind speed [m.s-1] and direction [°N]. Long-term data of specific humidity, air temperature, net solar radiation and wind speed are issued from the SAFRAN meteorological reanalysis (e.g. Raimonet et al., 2017) and were provided for this study by Météo-France. Raw SAFRAN data were processed and, when needed, converted as specified in Piccioni et al. (2021). The resulting meteorological data set in terms of relative humidity, air temperature, net solar radiation and wind speed was used in Piccioni et al. (2021), and is stored here in the text file “Meteo_input_1960_2017.txt”. Any other publication using these data should mention the source and Météo-France must appear explicitly in the acknowledgements. Wind direction data used in the study are property of Météo-France (Meteorological station in Trappes (F)). They were retrieved through the INRAE CLIMATIK platform (https://intranet.inrae.fr/climatik/, last access: 5 March 2020, in French) managed by the AgroClim laboratory of Avignon, France. They are therefore not included in this data set. In this data set users will find the model set-up for the long-term three-dimensional simulation as well as model results in terms of water temperature at measuring site A in text format. The model set-up consists of: • Two files defining the computational mesh: “Grid.grd” and “Grid_enc.enc” • One file defining bathymetry: “Depth.dep” • One file defining the location of the monitoring points: “Monitoring_location.obs” • One master definition flow file defining all parameters and information needed to carry out the hydrodynamic simulation: “19600101_20171231.mdf” Model results are here given in a single text file (“Results_1960_2017_A.txt”) for one location (site A) and all 12 layers in terms of water temperature [°C]. The file is organized as a table with one raw for each output time step of the model (hourly). The first column contains time as serial date numbers according to the proleptic ISO calendar used in MATLAB; following, are model results for all layers of the model from bottom to surface.
DOI: 10.25326/88
title: Gridded daily adjustment factors for calculating emissions changes during the COVID-19 pandemic
DOI: 10.25500/edata.bham.00000584
title: Research data supporting "Assessing the sources of particles at an urban background site using both regulatory instruments and low-cost sensors – A comparative study"
DOI: 10.25919/q8dw-c732
title: AusTEN National Tidal model data

description: The collection includes output from an Australian national implementation of CSIRO's un-structured COMPAS hydrodynamic model to assess the Australian national tidal energy resource. The CSIRO COMPAS model was run in 2-D (depth-averaged) mode on an unstructured grid having 183810 cells covering much of Australia's continental shelf and margin. Cell resolution is weighted, with higher resolution in regions with high tidal velocity and nearer to the coast, and is as fine as 500m in places, allowing the near-coastal flows to be simulated, but not the details of individual ports or narrow passages. The model was nested within the Oregon State University Tidal Prediction System (OTPS) 1/6degree global tidal model tpxo9v1 produced by Erofeeva et al (2002). During a calibration/validation phase, the model was run for 15 days using a variety of parameters and evaluated against a database of 683 sea level sites and 95 current velocity sites. The collection includes three files: COMPAS_out66_AUSTEn.nc - includes hourly output of surface elevation (eta) and depth-averaged velocity components (uav, vav) on the unstructured mesh for the period of the simulation. This is 59 days 25/2/2017-24/4/2017. CSIRO_tidal_const_v10_beta.nc - includes elevation and velocity tidal constituents for 11 constituents (Q1, O1, K1, 2N2, N2, M2, S2, M4, MS4, M6, 2MS6), as derived using the t_tide package in MATLAB (Pawlowicz, 2002). This is derived from 222 days 25/2/2017 to 25/10/2017. Aust_current_meter_tidal_cnstits_v1.nc has tidal constituents of the depth-averaged current velocity observed at 95 locations around Australia. It was used for evaluating the barotropic tidal model of Griffin, Herzfeld and Hemer (2020). See also CSIRO_tidal_const_v9.nc. This dataset is not certified as being fit for navigation purposes. Anyone using it for navigation purposes does so entirely at their own risk. The data set has known as well as unknown errors, largely due to idealizations embodied in the model configuration. Factors limiting model accuracy include the spatial resolution, lack of stratification, bathymetry errors, simple parameterization of bottom friction, absence of within-domain tidal body forcing and lack of non-linear interactions with non-tidal flows.
DOI: 10.26208/49kd-b637
title: One-way nested (27km, 9km and 3km) model output of North American atmospheric CO2 simulation (full WRF-chem output)

description: Synoptic weather systems are a major driver of spatial gradients in atmospheric CO2 mole fractions. During frontal passages air masses from different regions meet at the frontal boundary creating significant gradients in CO2 mole fractions. This study quantitatively describes the atmospheric transport of CO2 mole fractions during a mid-latitude cold front passage and explores the impact of various sources of CO2. We focus here on a cold front passage over Lincoln, Nebraska on August 4th, 2016 observed by aircraft during the Atmospheric Carbon and Transport (ACT)-America campaign. A band of air with elevated CO2 was located along the frontal boundary. Differences in CO2 across the front were as high as 25 ppm. Numerical simulations using WRF-Chem at cloud resolving resolutions (3km) coupled with CO2 surface fluxes and boundary conditions from CarbonTracker (CT-NRTv2017x) were performed to explore atmospheric transport at the front. Model results demonstrate that the frontal CO2 difference in the upper troposphere can be explained largely by inflow from outside of North America. This difference is modified in the atmospheric boundary layer and lower troposphere by continental surface fluxes, dominated in this case by biogenic and fossil fuel fluxes. Horizontal and vertical advection are found to be responsible for the distribution of CO2 mole fractions along the frontal boundary. This study highlights the use of high-resolution simulations in capturing CO2 transport along a frontal boundary.
DOI: 10.3334/cdiac/otg.spco2_1982_2011_eth_somffn
title: A 30 years observation-based global monthly gridded sea surface pCO2 product from 1982 through 2011
DOI: 10.4225/15/58eedf0d72be9
title: Mechanical and microstructural data from ice deformation experiments with a change in temperature partway
DOI: 10.5067/8xb4ru470fjv
title: Aqua/AIRS L3 Daily Standard Physical Retrieval (AIRS+AMSU) 1 degree x 1 degree V7.0
DOI: 10.5067/oscar-03d01
title: OSCAR third degree resolution ocean surface currents
DOI: 10.5281/zenodo.14249675
title: Data and scripts for Co-phylogeny, narrow host breadth and local conditions drive highly specialized bird-haemosporidian associations in West-Central African sky islands

description: This document includes the raw datafiles, host and parasite phylogenies and r-code use to conduct analyses for "Co-phylogeny, narrow host breadth and local conditions drive highly specialized bird-haemosporidian associations in West-Central African sky islands". Please see the readme file to get more detailed information about each file.
DOI: 10.5281/zenodo.3670654
title: Carbon action MULTA Finnish carbon sequestration experimental field dataset 2019

description: This dataset includes the first year observations of the Finnish Carbon Action carbon sequestration experiment. In the experiment c.a. 100 farms test carbon farming methods on a test field and an adjacent control plot. 26 of the farms were sampled during 2019 combining field observations and soil sampling. This data will be coupled with satellite imagery, field sensors and carbon cycle modeling to forecast carbon sequestration. Subsequent sampling will track changes in soil carbon stock and soil productivity. The dataset will be updated annually. New datasets will be published in https://zenodo.org/communities/carbonaction/ . Includes data on: soil properties (CEC, pH, OM) nutrients: P, K, S, Ca, Mg, Cu, Zn, B, Mn (Fe, Al, P-saturation) physical quality: soil structure (VESS), bulk density, porosity, water holding capacity, infiltration rate biological properties: earthworm counts, above ground biomass, plant cover (%)
description: Funded by the Academy of Finland: SRC 2019 Towards a Sustainable, Healthy and Climate-Neutral Food System (FOOD), MULTA project. A part of the Carbon Action -platform (http://www.carbonaction.org ). Updates are published annually on https://zenodo.org/communities/carbonaction
DOI: 10.5281/zenodo.3907342
title: Data for "Towards standardized processing of eddy covariance flux measurements of carbonyl sulfide"

description: The final data set used in manuscript "Towards standardized processing of eddy covariance flux measurements of carbonyl sulfide" by Kohonen et al. (2020). The data set contains carbonyl sulfide (COS), carbon dioxide (CO2), carbon monoxide (CO) and water vapor (H2O) fluxes, together with flux ancillary data, measured at Hyytiälä forest in Juupajoki, Southern Finland, from July 2015 to October 2015. Hyytiala_COS_ECflux_2015.csv includes the quality screened flux data without u* filtering or storage correction. Final_ECfluxes_2015.dat includes the final data set of quality screened, u* filtered, storage corrected and gap-filled flux data. Raw data and data processed with other processing options are available upon request from the author.
DOI: 10.5281/zenodo.3947700
title: Vertical cloud radiative heating from the EC-Earth3 PRIMAVERA standard-resolution model

description: The h5 files contain variables used for the article “Vertical structure of cloud radiative heating in the tropics: confronting the EC-Earth v3.3.1/3P model with satellite observations”. The experiment was done with the EC-Earth3 model (https://portal.enes.org/models/earthsystem-models/ec-earth/ec-earth). The model run was done in atmosphere-only mode with prescribed SST for the years 2005 - 2010. Year 2005 and 2006 are considered as spin-up time and are therefore not included. The experiment is described in more detail in the article. The files are named as follows: model-version_resolution_year_month_variable..h5<br> The following variables (named after ECMWF Parameter database) from the model output are included in the dataset:<br> - 107: Top of the atmosphere (TOA) SW radiation (all sky)<br> - 108: TOA SW radiation (clear sky)<br> - 109: TOA SW radiation (cloudy sky)<br> - 110: TOA LW radiation (all sky)<br> - 130: Temperature<br> - 133: Specific humidity<br> - 246: Specific cloud liquid water content<br> - 247: Specific cloud ice water content<br> - 248: Fraction of cloud cover<br> - 54: Pressure The latlon.h5 file contains the latitude and longitude for the dataset. <br> <br> To get the complete dataset for the experiment, see:<br> DOI: 10.5281/zenodo.3958826 for the radiation part of the PRIMAVERA high-resolution data.<br> DOI: 10.5281/zenodo.3960087 for the humidity part of the PRIMAVERA high-resolution data.<br> DOI: 10.5281/zenodo.3947700 for the PRIMAVERA standard-resolution data.<br> DOI: 10.5281/zenodo.3981154 for the V3.3.1 standard-resolution data.<br> DOI: 10.5281/zenodo.4734468 for the python code.
DOI: 10.5281/zenodo.3978803
title: The Gulf of Mexico Eddy Dataset (GOMED), a census of statistically significant eddy-like events from all available surface drifter data

description: This dataset uses trajectory data from a large set of drifters to extract and analyze displacement signals associated with coherent eddies in the Gulf of Mexico, using a multivariate wavelet ridge analysis as presented in Lilly and Pérez-Brunius (2021). The data includes eddy displacement signals for all ridges, as well as the time-varying ellipse parameters and estimated ellipse center location. The instantaneous frequency is also included, as is the instantaneous bias estimate derived by Lilly and Olhede (2012). The data are organized as appended trajectory data that can be readily separated through the use of the "ids" field. The ridge length (\(L\)),and ridge-averaged circularity (\(\overline{\xi}\)) are also included, as is measure of statistical significance denoted by (\(\rho\)). The dataset is available for download as a NetCDF file. Lilly, J. M. and P. Pérez-Brunius (2021). Extracting statistically significant eddy signals from large Lagrangian datasets using wavelet ridge analysis, with application to the Gulf of Mexico. <em>Nonlinear Processes in Geophysics</em>, 28: 181–212. https://doi.org/10.5194/npg-28-181-2021. Lilly, J. M. and Olhede, S. C.: Analysis of modulated multivariate oscillations, IEEE T. Signal Proces., 60, 600–612, 2012. 10.1109/TSP.2011.2173681
description: The GOMED database is a product of the Gulf of Mexico Research Consortium (CIGoM) and was partially funded by the CONACYT-SENER-Hydrocarbons Sector Fund, Mexico, project 201441.See database webpage with additional information (https://giola.cicese.mx/database/GOMED)
description: {"references": ["Lilly, J. M. and Olhede, S. C.: Higher-order properties of analytic wavelets, IEEE T. Signal Proces., 57, 146\u2013160,\u00a0https://doi.org/10.1109/TSP.2008.2007607, 2009.", "Lilly, J. M. and Olhede, S. C.: Analysis of modulated multivariate oscillations, IEEE T. Signal Proces., 60, 600\u2013612, 2012."]}
DOI: 10.5281/zenodo.4427965
title: Measurement and model data comparisons for the HALO-FAAM formation flight during EMeRGe on 17 July 2017

description: Within the project “Effect of Megacities on the transport and transformation of pollutants on the Regional and Global scales” (EMeRGe), the measurement flight of 13 July 2017 was performed for comparison of the instrumentation onboard of the research aircraft HALO and FAAM. The aircraft flew for 1.6 h in close formation along a racetrack pattern at three flight levels in Southern Germany. The flight started in a rather dry and clean troposphere and ended in a more polluted convective boundary layer. 28 measurement pairs sampled on both aircraft were found suitable for comparison. 17 further pairs of data are available from sampling on either HALO or FAAM. In addition, observations obtained at the DWD Hohenpeissenberg and results from 6 models are included in the comparisons. Overall, about 30% of the measured data pairs show deviations within the combined error estimates. Some measurements deviate considerably from model results. This dataset contains a pdf of the report and a zip file of the comparison data as described in that report.
description: The reseach was supported by the Deutsche Forschungsgemeinschaft (DFG), in the HALO SPP 1294, and by the participating institutions (University Bremen, Deutsches Zentrum für Luft- und Raumfahrt, etc.)
description: {"references": ["Schumann, U., 2020 (Editor): Measurement and model data comparisons for the HALO-FAAM formation flight during EMeRGe on 17 July 2017. DLR Forschungsbericht, DLR-FB-2020-48, 188 pp."]}
DOI: 10.5281/zenodo.4661438
title: Karonga historical flood occurrences and impacts dataset (2000-2018)

description: Secondary data on historical flood events, their location, date and recorded impacts in Karonga district of Northern Malawi. As Karonga district is mainly affected by flash flooding, the dataset is specifically driven toward flash flood type risk analysis. The entries were extracted manually from five different sources of information: Disaster reports from Humanitarian Actors (IFRC GO, UNICEF Malawi), existing global disaster (EM-DAT; Munich RE), government data (Malawi Department of Disaster Management Affair - DODMA), online news-briefs (FloodList; ReliefWeb) and national online media (Nyasa Times; The Nation). The resulting consolidated event database has a three levels of spatial granularity: Karonga District, Traditional Authority (TA) and community levels (GVH). A total of 142 records of flash flood events affecting the district from 2000 to 2018 are gathered. This included 48 events reported at district level, and 38 events at TA level.
DOI: 10.5281/zenodo.5548528
title: Model data in support of the E3SMv1-Arctic-OSI GMD manuscript (2021)

description: This data set contains the time series and climatological fields that were computed from the E3SMv1 Arctic-OSI and LR-OSI simulations that are described in a manuscript submitted for review to GMD in October 2021.
DOI: 10.5281/zenodo.5577394
title: Data for figures in the global streamflow change paper

description: This is the dataset used for generating figures 1-4 in the manuscript of "<strong>Future global streamflow declines likely more severe than previously estimated</strong>"
DOI: 10.5281/zenodo.5582683
title: Dataset for "Fire in lichen-rich subarctic tundra changes carbon and nitrogen cycling between ecosystem compartments but has minor effects on stocks"

description: Data that support the findings of the study "Fire disturbance promotes biodiversity of plants, lichens and birds in the Siberian subarctic tundra".
DOI: 10.5281/zenodo.7087806
title: WaterBench-Iowa: A Large-scale Benchmark Dataset for Data-Driven Streamflow Forecasting

description: WaterBench-Iowa is a comprehensive benchmark dataset for streamflow forecasting. It follows FAIR data principles that are prepared with a focus on convenience for utilizing in data-driven and machine learning studies and provides benchmark performance for state-of-art deep learning architectures on the dataset for comparative analysis. By aggregating the datasets of streamflow, precipitation, watershed area, slope, soil types, and evapotranspiration from federal agencies and state organizations (i.e., NASA, NOAA, USGS, and Iowa Flood Center), we provided the WaterBench for hourly streamflow forecast studies. This dataset has a high temporal and spatial resolution with rich metadata and relational information, which can be used for varieties of deep learning and machine learning research. To some extent, WaterBench makes up for the lack of a unified benchmark in earth science research. We highly encourage researchers to use the WaterBench for deep learning research in hydrology.
description: Please cite as: Demir, I., Xiang, Z., Demiray, B. and Sit, M., 2022. WaterBench: A Large-scale Benchmark Dataset for Data-Driven Streamflow Forecasting. Earth System Science Data Discussions, pp.1-19.
DOI: 10.5281/zenodo.7221954
title: NASA GSFC Firn Densification Model version 1.2.1 (GSFC-FDMv1.2.1) for the Greenland and Antarctic Ice Sheets: 1980-2022

description: <strong>Overview</strong> The NASA GSFC-FDM v1.2.1 provides the evolution of firn air content (FAC), surface mass balance (SMB) (and its individual components), and total firn height change over the Greenland and Antarctic Ice Sheets from January 1, 1980 to June 30, 2022 at 5-day temporal resolution. The model uses atmospheric forcing from NASA GMAO's Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) global atmospheric reanalysis, combined with a higher resolution replay (see Medley et al., 2022) as input into the Community Firn Model (CFMv1.1.6) to simulate the evolution of firn properties across the ice sheets. The GSFC-FDMv1.2.1 is provided on a 12.5 km x 12.5 km North/South Polar Stereographic Grid, depending on the ice sheet. For a thorough description of how the GSFC-FDMv1.2.1 was generated see Medley et al. (2022) in <em>The Cryosphere</em>. Release 2 contains model output up through June 30, 2022, whereas the initial release only extended through September 30, 2021. The model set up is identical between releases.
description: This work was funded by NASA's ICESat-2 Project Science Office (PSO) as part of efforts to generate ice-sheet mass change estimates from NASA's ICESat-2.
description: {"references": ["Medley, B., Neumann, T. A., Zwally, H. J., Smith, B. E., and Stevens, C. M.: Simulations of firn processes over the Greenland and Antarctic ice sheets: 1980\u20132021, The Cryosphere, 16, 3971\u20134011, https://doi.org/10.5194/tc-16-3971-2022, 2022."]}
DOI: 10.5281/zenodo.8158277
title: Dataset of archaeobotanical wood charcoal records from northwest China

description: To explore the prehistoric human-environmental interactions along the ancient Silk Road, we provide a synthesis of archaeobotanical wood charcoal records from northwest China. The dataset includes the taxa and total number of wood charcoal fragments, and absolute count of each species identified from 39 archaeological site. The general information of these archaeological sites, including latitude, longitude, region, cultural context, and AMS14C dating results is also added into this dataset.
DOI: 10.5285/4fa633d24d104217a4c9d3fb3589f35d
title: Obs4MIPs: Monthly-mean diurnal cycle of top of atmosphere outgoing shortwave radiation from the GERB instrument (GERB-HR-ED01 rsut 1hrCM)

description: This dataset contains top of atmosphere (TOA) outgoing shortwave radiation from the Geostationary Earth Radiation Budget (GERB) instrument on board the Meteosat-9 geostationary satellite, for the period from May 2007 until 2012. In this dataset (labelled 'GERB-HR-ED01 rsut 1hrCM'), the data provided consist of monthly-mean diurnal cycles, with each day resolved into 1-hour means. Data are only available for six months of each year (January, May, June, July, November and December), due to operational constraints of the GERB instrument. It has been produced in Obs4MIPs (Observations for Model Intercomparisons Project) format, as part of an activity to increase the use of GERB satellite observational data for the modelling and model analysis communities. This is not currently a standard GERB satellite instrument product, but does represent an effort on behalf of the GERB project team to identify a product that is appropriate for routine model evaluation. The data may have been reprocessed, reformatted, or created solely for comparisons with climate model output.
DOI: 10.5285/bedc59f37c9545c981a839eb552e4084
title: ESA Biomass Climate Change Initiative (Biomass_cci): Global datasets of forest above-ground biomass for the year 2017, v1

description: This dataset comprises estimates of forest above-ground biomass for the year 2017. The data has been produced as part of the European Space Agency's (ESA's) Climate Change Initiative (CCI) programme by the Biomass CCI team. The data products consist of two (2) global layers that include estimates of: 1) above ground biomass (AGB, unit: tons/ha i.e., Mg/ha) for the year 2017 (raster dataset). This is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots 2) per-pixel estimates of above-ground biomass uncertainty expressed as standard error in Mg/ha (raster dataset) This release of the data is version 1, with data provided in both netcdf and geotiff format.
DOI: 10.5439/1369240
title: aoppsap1flynn1m.c1

description: aerosol optical properties for aoppsap1flynn1m.c1