cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4361701
title: Data, Sensitivity of 21st-century projected ocean new production changes to idealized biogeochemical model structure

description: Data for reproducing figures in journal article submitted to Biogeosciences in December 2020. Data generated from global 1-degree simulations of the CESM in an ocean-ice configuration. NP model by Brett. See 10.5281/zenodo.4361705 for code for NP model and to use this dataset to recreate paper figures.
DOI: 10.13012/b2idb-8585682_v1
title: Mesospheric gravity wave activity estimated via airglow imagery, multistatic meteor radar, and SABER data taken during the SIMONe–2018 campaign

description: Airglow images and Meteor radar data used in the paper "Mesospheric gravity wave activity estimated via airglow imagery, multistatic meteor radar, and SABER data taken during the SIMONe–2018 campaign".
DOI: 10.15139/s3/bea55z
title: MODIS DinamicaEGO Land Use Data

description: This dataset contains MODIS Land Use and Land Cover Data produced by the DinamicaEGO model framework for the years 2001, 2010, 2011, 2012, 2013, 2014, and 2015. This data is in the format to be read by the WRF's WPS system.
DOI: 10.15139/s3/mq8kns
title: Overview Information

description: Overview Files for CLM-AF experiments
DOI: 10.15139/s3/whnilt
title: Africa-Bioclimate Regions

description: This dataset contains the African-Bioclimate region data for CLM-AF, the associated WRF/WPS namelist information, and a script for adding the Bioclimate region data to WRF met_em files
DOI: 10.1594/pangaea.835578
title: Sea ice conditions during POLARSTERN cruise PS86 (ARK-XXVIII/3 AURORA)

description: Visual observations of sea-ice conditions were performed hourly from the bridge of Polarstern. The observations followed the ASSIST protocol (version 2.0).Observer team: Sebastian Albrecht, Stefanie Arndt, Denise Bachmann, John Bailey, Christian Borowski, Diederik D'Hert, Alexander Diehl, Stephen Elliott, Christopher German, Bernd Heesemann, Mike Jakuba, Mechthild Doll, Christopher Judge, Christian Katlein, Norbert Kaul, Henning Kirk, Janna Köhler, Mikko Lensu, Yann Marcon, Christopher McFarland, Massimiliano Molari, Johannes Pliet, Norbert Rieper, Vera Schlindwein, Florian Schmid, Stefano Suman, Andreas Türke, Martin Vogt, Louise Wagner, Michel Watelet, Gunter Wegener, Louis Whitcomb
DOI: 10.1594/pangaea.899458
title: OCEANET-ATMOSPHERE PollyXT measurements during POLARSTERN cruise PS106

description: The dataset contains daily nc-files of the attenuated backscatter coefficient and volume depolarization from the OCEANET multiwavelength Raman and polarization lidar PollyXT (Engelmann et al., 2016, doi:10.5194/amt-9-1767-2016; Baars et al., 2017, doi:10.5194/amt-10-3175-2017) during Polarstern cruise PS106. The data is calibrated within the Cloudnet (Illingworth, 2007 doi:10.1175/BAMS-88-6-883) processing scheme.
DOI: 10.1594/pangaea.904382
title: Physical oceanography (CTD) during METEOR cruise M145

description: PO-GLOBAL-SVN = 632 used on 30-Jul-2019 10:30:16Matlab = 9.4.0.813654 (R2018a)Release = 4nc_uncertainty_p = 2.000000nc_uncertainty_t = 0.002000nc_uncertainty_s = 0.003000nc_uncertainty_o = 4.000000Fluorescence and Turbidity data still contain deck offsets. Use with caution
DOI: 10.1594/pangaea.919359
title: OCEANET-ATMOSPHERE Microwave Radiometer HATPRO during PS106

description: The dataset contains daily nc-files of the integrated water vapour and liquid water content from the OCEANET microwave radiometer Haptro (Rose et al., 2005: doi:10.1016/j.atmosres.2004.12.005) during Polarstern cruise PS106.The data is calibrated within the Cloudnet (Illingworth, 2007 doi:10.1175/BAMS-88-6-883 ) processing scheme.
description: This is an updated version of this data set: https://doi.pangaea.de/10.1594/PANGAEA.899898
DOI: 10.1594/pangaea.919556
title: OCEANET-ATMOSPHERE Cloud radar Mira-35 during PS106

description: The dataset contains daily nc-files of the reflectivity factor, Doppler velocity, spectrum width and linear depolarisation ratio from the OCEANET Doppler cloud radar Mira-35 (Görsdorf et al., 2015 doi:10.1175/JTECH-D-14-00066.1) during Polarstern cruise PS106.The cloud radar was operated in vertical-stare mode. Heave correction was performed based on information from the inertial system haliburton of Polarstern and 0.25-s raw data (noise-containing spectra) of Mira-35. Pitch- and roll motion was corrected by means of an active stabilization platform between 24 May and 11 June 2017. The data is calibrated within the Cloudnet (Illingworth, 2007 doi:10.1175/BAMS-88-6-883) processing scheme.
description: This is an updated version of this data set: https://doi.pangaea.de/10.1594/PANGAEA.899895
DOI: 10.1594/pangaea.951267
title: Polarimetric phase-sensitive radar measurements at EastGRIP drill site, 2019

description: Polarimetric phase-sensitive Radio Echo Sounder (PpRES) measurements at EastGRIP drill site on the Northeast Greenland Ice Stream. PpRES_CL are measurements from the science trench next to the core location (CL) roughly 8 m below the surface. The other measurements (PpRES_GRID_C, PpRES_GRID_N, PpRES_GRID_E, PpRES_GRID_S and PpRES_GRID_W) were performed within a 20x20 m^2 grid (named GRID) approximately 360 m from the drill site. The transmitting and the receiving antenna of PpRES_CL were aligned with vertical polarisation (VV) at an azimuthal angle of roughly 258° clockwise to magnetic North (283° true North). The antennas of GRID-measurements were aligned at an azimuthal angle of roughly 168° clockwise to magnetic North (193° true North). The file names include the degree of the measurement representing the orientation of the antennas (clockwise rotation) to the originally pointed angle. The referenzed figure visualises all antenna orientations along with two types of notation. Data were measured in the field by Ole Zeising and Angelika Humbert. Data has been acquired at the EastGRIP camp that kindly hosted this activity as an associate project. EastGRIP is directed and organized by the Centre for Ice and Climate at the Niels Bohr Institute, University of Copenhagen. It is supported by funding agencies and institutions in Denmark (A. P. Møller Foundation, University of Copenhagen), USA (US National Science Foundation, Office of Polar Programs), Germany (Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research), Japan (National Institute of Polar Research and Arctic Challenge for Sustainability), Norway (University of Bergen and Trond Mohn Foundation), Switzerland (Swiss National Science Foundation), France (French Polar Institute Paul-Emile Victor, Institute for Geosciences and Environmental research), Canada (University of Manitoba) and China (Chinese Academy of Sciences and Beijing Normal University). If you have questions, please contact Ole Zeising (ole.zeising@awi.de) or co-authors.
description: Coordinates: Name,Latitude,LongitudePpRES_CL,75.63119,-35.99345 PpRES_GRID_C,75.62929,-35.98162 PpRES_GRID_N,75.62942,-35.98153 PpRES_GRID_E,75.62928,-35.98109 PpRES_GRID_S,75.62918,-35.98171 PpRES_GRID_W,75.62931,-35.98208
DOI: 10.17864/1947.294
title: Pollen data and charcoal data of the Iberian Peninsula

description: Sedimentary charcoal, preserved in lakes, peatbogs and other anoxic environments, has been widely used as an indicator of past changes in fire regimes. Pollen records can be used to reconstruct past climate changes by deriving a statistical relationship between modern pollen abundance and modern climate and applying this relationship to fossil pollen assemblages. Here, we present pollen data and charcoal data from the Iberian Peninsula. The pollen data file includes basic information (e.g., latitude, longitude, elevation, source of the data, citation for original publication), age information (IPE age and IntCal20 mean and median ages and age uncertainties) and pollen counts for 205 taxa by depth (cm) for 114 records. The charcoal data file includes basic information (e.g., latitude, longitude, elevation, charcoal. count type and unit), age information (IntCal20 mean and median age and age uncertainties) and charcoal quantity by depth (cm) for 74 records.
description: Pollen data were obtained from the European Pollen Database (EPD, www.europeanpollendatabase.net) or provided by the authors. Charcoal data were obtained from the Global Charcoal Database (Power et al., 2010; Marlon et al., 2016) or provided by the original authors.
description: Pollen data were obtained from the European Pollen Database (EPD, www.europeanpollendatabase.net) or provided by the authors (as indicated). Non-pollen palynomorphs (e.g. fungi, algae), introduced species, and fire-insensitive plants (e.g. obligate aquatics) were removed from the assemblages before analysis. Some pollen taxa are not identified consistently by palynologists or occur at very few sites, so some pollen types were amalgamated to higher taxonomic groups (mostly genera for trees, families for herbaceous taxa) for consistency across the records. Charcoal data were obtained from the Global Charcoal Database (Power et al., 2010; Marlon et al., 2016) or provided by the original authors (as indicated). New age models were created for both the pollen and the charcoal records using the IntCal20 calibration curve (Reimer et al., 2020) and the BACON Bayesian age-modelling tool in the rbacon package (2.5.0) in CRAN (Blaauw and Christeny, 2011) with the help of ageR package (Villegas-Diaz et al., 2021).
DOI: 10.18140/flx/1440185
title: FLUXNET2015 RU-Sam Samoylov

description: This is the FLUXNET2015 version of the carbon flux data for the site RU-Sam Samoylov.
DOI: 10.5067/aura/omi/data3010
title: OMI/Aura Formaldehyde (HCHO) Total Column Daily L3 Weighted Mean Global 0.1deg Lat/Lon Grid V003
DOI: 10.5067/c2gfer6ptos4
title: MEaSUREs BedMachine Antarctica, Version 1
DOI: 10.5067/caliop/calipso/lid_l2_05kmmlay-standard-v4-20
title: CALIPSO Lidar Level 2 5 km Merged Layer Data V4-20
DOI: 10.5067/modis/myd35_l2.006
title: MYD35_L2 MODIS/Aqua Cloud Mask and Spectral Test Results 5-Min L2 Swath 250m and 1km
DOI: 10.5281/zenodo.3861831
title: Black Swift Technologies S1 Unmanned Aircraft System Observations from LAPSE-RATE

description: This dataset contains meteorological data collected by Black Swift Technologies' S1 unmanned aircraft system during the 2018 LAPSE-RATE (Lower Atmospheric Profiling Studies at Elevation - a Remotely-piloted Aircraft Team Experiment) field campaign. Questions about the dataset should be addressed to Jack Elston (elstonj@bst.aero).
DOI: 10.5281/zenodo.3891620
title: DataHawk2 files from LAPSE-RATE

description: This dataset includes measurements obtained using the University of Colorado DataHawk2 UAS during the 2018 LAPSE-RATE (Lower Atmospheric Profiling Studies at Elevation - a Remotely-piloted Aircraft Team Experiment) field campaign. This campaign took place in the San Luis Valley of Colorado between 14-21 July, 2018. <strong>All parties downloading the data are asked to cite the original research team and funding body when appropriate, and when using images and data in publications, presentations or other public displays. The DOI for the current dataset, and associated articles should be referenced whenever the dataset is used for scientific analysis.</strong>
description: Funding supported by the US National Science Foundation (AGS 1807199) and the US Department of Energy (DE-SC0018985).
DOI: 10.5281/zenodo.4096451
title: Talon files from LAPSE-RATE

description: This dataset includes measurements obtained using the University of Colorado Talon UAS during the 2018 LAPSE-RATE (Lower Atmospheric Profiling Studies at Elevation - a Remotely-piloted Aircraft Team Experiment) field campaign. This campaign took place in the San Luis Valley of Colorado between 14-21 July, 2018. <strong>All parties downloading the data are asked to cite the original research team and funding body when appropriate, and when using images and data in publications, presentations or other public displays. The DOI for the current dataset, and associated articles should be referenced whenever the dataset is used for scientific analysis.</strong>
description: Funding provided by the US National Science Foundation (AGS 1807199) and the US Department of Energy (DE-SC0018985).
DOI: 10.5281/zenodo.4110626
title: TTWISTOR files from LAPSE-RATE

description: This dataset includes measurements obtained using the University of Colorado TTwistor UAS during the 2018 LAPSE-RATE (Lower Atmospheric Profiling Studies at Elevation - a Remotely-piloted Aircraft Team Experiment) field campaign. This campaign took place in the San Luis Valley of Colorado between 14-21 July, 2018. <strong>All parties downloading the data are asked to cite the original research team and funding body when appropriate, and when using images and data in publications, presentations or other public displays. The DOI for the current dataset, and associated articles should be referenced whenever the dataset is used for scientific analysis.</strong>
description: Funding supported by the US National Science Foundation (AGS 1807199) and the US Department of Energy (DE-SC0018985).
DOI: 10.5281/zenodo.4442395
title: Paramagnetic tailored experiments for the NMR investigation of reduced and oxidized [2Fe-2S]-mitoNEET

description: We report here the complete data sets and the pulse programs for the NMR spectra of the human iron sulfur binding protein mitoNEET, in its oxidized and reduced states. These data have been used in the publication “The long-standing relationship between Paramagnetic NMR and Iron-Sulfur proteins: the mitoNEET example. An old method for new stories or the other way around?”. This folder includes: paramagnetic 1D proton NOE experiments, <sup>15</sup>N-IR-HSQC-AP experiments and CON <sup>13</sup>C direct detection experiments in their diamagnetic and paramagnetic version. All these data have been used to identify NMR signals of residues surrounding the metal cofactor. Along with the raw data we report also the pulse programs of the paramagnetic tailored experiments. The NMR spectra of both oxidation states of mitoNEET are significantly different from those reported for previously investigated [Fe<sub>2</sub>S<sub>2</sub>]<sup>2+/+</sup> proteins and provide a detailed description of the unique electronic properties of mitoNEET, that is essential for the understanding of its the biological function.
DOI: 10.5281/zenodo.4892730
title: Dataset for the publication: "Aerosol properties and aerosol-radiation interactions in clear sky conditions over Germany"

description: This repository contains the data to reproduce the analysis conducted in the publication: Witthuhn, J., Hünerbein, A., Filipitsch, F., Wacker, S., Meilinger, S., and Deneke, H., Aerosol properties and aerosol-radiation interactions in clear sky conditions over Germany.
DOI: 10.5281/zenodo.5043645
title: Historical reconstruction of background air pollution over France for 2000-2015

description: This datasets covers 16-year of air pollution concentrations and air quality indicators over France. Using a kriging<br> method that combines background measurements of air quality and modeling with the Chemistry Transport Model CHIMERE,<br> hourly concentrations of NO2, O3, PM10 and PM2.5 are produced with a spatial resolution about 4 kilometers. Regulatory<br> indicators (annual average, SOMO35, AOT40 etc…) are also calculated from these data. Regulatory indicators are given at the regional, departmental and municipal levels as csv files for the different years. They are also provided at the model grid resolution on a netcdf format.
DOI: 10.5281/zenodo.6555990
title: SDUST2020 MSS: A global 1′×1′ mean sea surface model determined from multi-satellite altimetry data

description: SDUST2020 MSS (Shandong University of Science and Technology 2020 mean sea surface) model with a grid of 1′×1′ is established with 19-year moving average method from multi-satellite altimetry data over 27-year (from January 1993 to December 2019). Its spatial coverage is 80°S-84°N. The missions data of Topex/Poseidon, Jason-1, Jason-2, Jason-3, ERS-1, ERS-2, GFO, Envisat, SARAL, HY-2A, Sentinel-3A and Cryosat-2 are ingested in the SDUST2020 MSS model.
DOI: 10.5281/zenodo.7041392
title: Test cases for SERGHEI v1.0

description: Test cases for verification of the shallow water module of SERGHEI v1.0.
DOI: 10.5281/zenodo.7260886
title: DL-RMD: A geophysically constrained electromagnetic resistivity model database for deep learning applications (Dataset)

description: Deep learning algorithms have shown incredible potential in many applications. The success of these data-hungry methods is largely associated with the availability of large-scale data sets, as millions of observations are often required to achieve acceptable performance levels. Recently, there has been an increased interest in applying deep learning methods to geophysical applications where electromagnetic methods are used to map the subsurface geology by observing variations in the electrical resistivity of the subsurface materials. To date, there are no standardized datasets for electromagnetic methods, which hinders the progress, evaluation, benchmarking, and evolution of deep learning algorithms due to data inconsistency. Therefore, we present a large-scale electrical resistivity model database of a wide variety of geologically plausible and geophysically resolvable subsurface structures for the commonly deployed ground-based and airborne electromagnetic systems. The presented database can potentially be used to build surrogate models of well-known processes and aid in labour intensive tasks. The geophysically constrained property of this database will not only achieve enhanced performance and improved generalization but, more importantly, it will incorporate consistency and credibility in deep learning models. We urge the geophysical community interested in deep learning for electromagnetic methods to utilize the presented database.
description: This work is funded by Innovation Fund Denmark (IFD) under the projects "MapField" (Grant no. : 8055-00025B) and "SuperTEM" (Grant no. 0177-00085B)
DOI: 10.5281/zenodo.7478657
title: ESMAC Diags data

description: This file includes all preprocessed data for <strong>version 2.1 </strong>of Earth System Model (ESM) aerosol-cloud diagnostics package (<strong>ESMAC Diags</strong>) that facilitate routine evaluation of aerosols, clouds and aerosol-cloud interactions simulated by the Department of Energy’s (DOE) Energy Exascale Earth System Model (E3SM). It also includes preprocessed E3SM output for test evaluation.
description: Work is supported by the Enabling Aerosol-cloud interactions at GLobal convection-permitting scalES (EAGLES) project (74358), funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, Earth System Model Development (ESMD) program area.
DOI: 10.5281/zenodo.7825628
title: Global Crop Type Validation Data Set for ESA WorldCereal System

description: This dataset was created by using a new IIASA tool, called “Street Imagery validation” (https://svweb.cloud.geo-wiki.org/) where users could check street level images (e.g., Google Street Level images, Mapillary etc.) and identify the crop type where it is possible. The advantage of this tool is that there are plenty of georeferenced images with dates, going back in time. The disadvantage is that users need to check plenty of images where only few will clearly show cropland fields that are mature enough to be identified. To make the data collection more efficient, we provided our experts with preliminary maps of points in agricultural areas where street level images are available for the year 2021. Then, the experts checked those locations in an opportunistic way. The dataset is completely independent from all the existing maps and the reference datasets. There are 3 main data records uploaded: sv_croptype_poly.zip – an archive with a shapefile containing all the collected polygons with crop type information. Not all the polygons correspond to actual field boundaries. sv_croptype_validations.csv – a table with crop type observations with centroid coordinates in WGS84 sv_worldcereal_validation.csv – a table with a subset of crop type observations used in validation of WorldCereal crop type maps for 2021. Fields: "id" – unique observation identifier; "imgSource" – source of imagery used for visual inspection; "imgLoc" – image location; "svImgDate" – image date; "imageIdKey" – image unique identifier; "submitedAt" – date of submission of crop type observation; "cropType" - crop type observation; "irrType" – irrigation type; "x", "y" – centroids of submitted polygons in WGS84.
description: Funding: European Space Agency (ESA), ESRIN Contract No. N°4000130569/20/I-NB
description: {"references": ["https://esa-worldcereal.org/en"]}
DOI: 10.5285/62c0f97b1eac4e0197a674870afe1ee6
title: ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Level 4 Analysis Climate Data Record, version 2.1

description: This v2.1 SST_cci Level 4 Analysis Climate Data Record (CDR) provides a globally-complete daily analysis of sea surface temperature (SST) on a 0.05 degree regular latitude - longitude grid. It combines data from both the Advanced Very High Resolution Radiometer (AVHRR ) and Along Track Scanning Radiometer (ATSR) SST_cci Climate Data Records, using a data assimilation method to provide SSTs where there were no measurements. These data cover the period between 09/1981 and 12/2016. The dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST_cci accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research. The CDR Version 2.1 product supercedes the CDR Version 2.0 product.