cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.924868
title: Basic measurements of radiation at station Sonnblick (2020-10)
DOI: 10.1594/pangaea.925490
title: Basic and other measurements of radiation at station Ny-Ålesund (2020-09)
DOI: 10.1594/pangaea.925492
title: Basic and other measurements of radiation at station Ny-Ålesund (2020-10)
DOI: 10.1594/pangaea.925494
title: Basic and other measurements of radiation at station Ny-Ålesund (2020-11)
DOI: 10.1594/pangaea.927396
title: Basic and other measurements of radiation at station Ny-Ålesund (2020-12)
DOI: 10.1594/pangaea.928371
title: Void filling in glacier elevation change data sets

description: The increasing availability of digital elevation models (DEMs) facilitates the monitoring of glacier mass balances on local and regional scales. Geodetic glacier mass balances are obtained by differentiating DEMs. However, these computations are usually affected by voids in the derived elevation change data sets. Different approaches, using spatial statistics or interpolation techniques, were developed to account for these voids in glacier mass balance estimations. In this study we apply novel void filling techniques, which are typically used for the reconstruction and retouche of images and photos, for the first time on elevation change maps. We selected 6210 km² of glacier area in southeast Alaska, USA, covered by two void free DEMs as study site to test different inpainting methods. Different artificially voided setups were generated using manually defined voids and a correlation mask based on stereoscopic processing of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) acquisition. Three “novel” (Telea, Navier-Stokes and Shearlet) as well as three “classical” (bilinear interpolation, local and global hypsometric method) void filling approaches for glacier elevation data sets were implemented and evaluated.The provided database contains the void filling results of all different approaches and setups (see paper for abbreviations of the approaches). Moreover, the void free elevation change field and void masks are provided to redo the statistical analysis and to apply the novel inpainting techniques at the "Center"-setup. The code to carry out the void filling and analysis can be downloaded here: https://github.com/tseehaus/inpainting-dhdtFor each setup a zip-file is provided containing relevant input data and the generated void-filled results. More details can be found in the readme.pdf file.
DOI: 10.1594/pangaea.928432
title: Basic measurements of radiation at station Sonnblick (2020-11)
DOI: 10.1594/pangaea.928535
title: Basic and other measurements of radiation at station Ny-Ålesund (2021-01)
DOI: 10.1594/pangaea.929077
title: Historical K index data collection of Soviet magnetic observatories, 1957-1992: overview, by observatory

description: The presented collection includes the results of the K index determination at 41 geomagnetic observatories of the former USSR for the period from July 1957 to early 1990s. This unique collection was formed at the World Data Center for Solar-Terrestrial Physics in Moscow. The historical data, which are offered to the international scientific community, cover the second half of the 20th century and can be used for retrospective analysis and study of geomagnetic events in the past as well as for data validation or forecasting.
DOI: 10.1594/pangaea.929660
title: Basic and other measurements of radiation at station Ny-Ålesund (2021-02)
DOI: 10.1594/pangaea.930861
title: Basic and other measurements of radiation at station Ny-Ålesund (2021-03)
DOI: 10.1594/pangaea.930917
title: Basic measurements of radiation at station Sonnblick (2021-03)
DOI: 10.1594/pangaea.933717
title: Basic and other measurements of radiation at station Ny-Ålesund (2021-06)
DOI: 10.1594/pangaea.931487
title: Basic measurements of radiation at station Sonnblick (2021-04)
DOI: 10.1594/pangaea.929382
title: Basic measurements of radiation at station Sonnblick (2020-12)
DOI: 10.1594/pangaea.933164
title: Basic and other measurements of radiation at station Ny-Ålesund (2021-05)
DOI: 10.1594/pangaea.929384
title: Basic measurements of radiation at station Sonnblick (2021-01)
DOI: 10.1594/pangaea.929386
title: Basic measurements of radiation at station Sonnblick (2021-02)
DOI: 10.1594/pangaea.931156
title: Sedimentological and geochronological data from the Carajas Basin, Brazil

description: Sedimentological data consists of sedimentary facies, described from seven fully cored wells that have been drilled in the Carajás Basin, Pará State, Brazil. These drill cores intersect iron formations and terrigenous deposits spanning the Neoarchean (ca. 2.7 to 2.6 Ga), in order to reconstruct paleoenvironments. Drilling locations, drill core references, drill core repository and sedimentological data are detailed in the first file of the present dataset. U-Pb geochronological data have been obtained on zircon grains by Laser Ablation - Inductively Coupled Plasma - Mass Spectrometry (LA-ICP-MS) in order to constraint the age and provenance of sedimentary rocks. Zircon grains were extracted from samples collected in drill cores. A subset of zircon grains from each rock sample has been subjected to a thermal annealing and chemical abrasion treatment before analysis by LA-ICP-MS. Detailed analytical procedure is presented in the second file of the present dataset ("Appendix2_Carajas_Basin_Methods.pdf"). Analytical results are provided in the third file of the present dataset ("Appendix3_Carajas_Basin_U-Pb_geochronology.xlsx").
DOI: 10.1594/pangaea.931195
title: Raster grids of eight bogs in North America, Europe, Borneo, and New Zealand

description: This dataset contains surface elevation rasters in GeoTIFF format for eight bogs in North America, Europe, Borneo, and New Zealand. Each raster in the dataset gives surface elevations either derived from lidar data, or obtained by transforming a solution to Poisson's equation using the method described in the paper. Rasters are labeled by the bog name used in the paper, then by the raster type: "lidar" for bog morphology derived from airborne lidar data; "remapped" for bog morphology approximated by transforming the solution to Poisson's equation through a scalar function; "remapped_from_transect" for bog morphology inferred from elevations along a transect through the bog; or "transect" for the subsample of LiDAR-derived elevations used to construct the remapped-from-transect morphology. Additionally, the raster labeled "drainability_horizon" provides the limiting surface used to compute the irrecoverable carbon in each bog, as explained in the paper. Note that for Kopuatai, for example, where we estimate the morphology of a bog inside a peatland complex, the drainability horizon extends beyond the boundary of the bog. The map projection and resolution are included in each raster via standard GeoTIFF metadata; the projections used were EPSG:6337 for Hamilton Bay (Alaska, USA), EPSG:26915 for Lost River (Minnesota, USA), EPSG:2959 for Milot (Quebec, Canada), EPSG:26919 for Great Cranberry Island (Maine, USA), EPSG:3067 for Reksuo (Finland), EPSG:3301 for Valgeraba (Estonia), EPSG:5247 for Mendaram (Brunei), and EPSG:2193 for Kopuatai (New Zealand).
DOI: 10.1594/pangaea.931417
title: Basic and other measurements of radiation at station Ny-Ålesund (2021-04)
DOI: 10.1594/pangaea.932592
title: Structural insight into conifer forest topsoil dissolved organic matter (Wetzstein, Germany) by Orbitrap tandem MS mass difference matching

description: Ultrahigh-resolution Fourier transform tandem mass spectrometry was employed to reveal novel structural detail of the natural complex mixture dissolved organic matter (DOM) that is found ubiquitously in soils and rivers. We developed and evaluated a novel approach to decipher the structural detail that is encrypted in DOM. A DOM sample from a spruce forest (Wetzstein, Germany, 50° 27' 13" N; 11° 27' 27" E; 785 meter above sea level) was used as a representative biodegraded DOM mixture of high complexity and measured by direct-injection tandem mass spectrometry (DI-ESI-Orbitrap-MS/MS). The unknowns in DOM were then compared with indicative tandem MS features (mass differences, "Δm" features) from known standard compounds (14 phenolic standard substances measured in parallel, and 11280 library mass spectra available from the java-based software framework SIRIUS) and natural product and in-silico structure suggestions. The dataset consists of six subsets (Data Set ds01 - ds06), all of which are xlsx files.
DOI: 10.1594/pangaea.931775
title: Geomorphic Map, Surveys, and Luminescence dates for fluvial and marine terraces along the lower Santa Ynez River, California
DOI: 10.1594/pangaea.931867
title: Position measurements at GNSS station SMR5 in 2020 with links to TRIMBLE binary data files

description: SMR5 GNSS long-term raw-data series is aimed at contributing to the scientific research of Earth-System-involved global- as well as Antarctic-regional processes, improving International Terrestrial Reference Frame (ITRF) redefinitions, and benefiting society through enhanced GNSS-derived applications and services. The dataset was gathered at the Argentinean (Antarctic) research station San Martín in the year 2020. Approximate position in ITRF2014 frame at epoch 2020.5: X=927077.21m, Y=-2195043.58m, Z=-5896521.11m or in (GRS80) ellipsoidal coordinates: lat=68°07'46.851S, lon=067°06'11.603W, h=26.8m, orthometric height above EGM2008 geoid amounts 17.3m. GNSS receiver: TRIMBLE NetR9 (SN: 5226K50357), GNSS antenna: Zephyr Geodetic 2 w/Dome, PN: 57971-00 (SN: 30976593), Sampling interval: 1 second. Each file covers a time period of one day. Original binary files are of TRIMBLE proprietary format T02. The files of one day have been combined applying UNIX tool tar.
DOI: 10.1594/pangaea.931873
title: Simulated sea surface pCO2 by a data-driven model in the western Arctic Ocean 1994-2019
DOI: 10.1594/pangaea.933426
title: Terrestrial, UAV-borne, and airborne laser scanning point clouds of central European forest plots, Germany, with extracted individual trees and manual forest inventory measurements

description: Laser scanning point clouds of forest stands were acquired in southwest Germany in 2019 and 2020 from different platforms: an aircraft, an uncrewed aerial vehicle (UAV) and a ground-based tripod. The UAV-borne and airborne laser scanning campaigns cover twelve forest plots of approximately 1 ha. The plots are located in mixed central European forests close to Bretten and Karlsruhe, in the federal state of Baden-Württemberg, Germany. Terrestrial laser scanning was performed in selected locations within the twelve forest plots. Airborne and terrestrial laser scanning point clouds were acquired under leaf-on conditions, UAV-borne laser scans were acquired both under leaf-on and later under leaf-off conditions. In addition to the laser scanning campaigns, forest inventory tree properties (species, height, diameter at breast height, crown base height, crown diameter) were measured in-situ during summer 2019 in six of the twelve 1-ha plots. Single tree point clouds were extracted from the different laser scanning datasets and matched to the field measurements. For each tree entry, point clouds, tree species, position, and field-measured and point cloud-derived tree metrics are provided. For 249 trees, point clouds from all three platforms are available. The tree models form the basis of a single tree database covering a range of species typical for central European forests which is currently being established in the framework of the SYSSIFOSS project.
DOI: 10.1594/pangaea.934325
title: Basic measurements of radiation at station Sonnblick (2021-05)

description: Nighttime negatives due to icing of ventilation on 2021/05/02 to 03 (night), 2021/05/03 (morning), 2021/05/05 to 06 (night), 2021/05/07 (morning), 2021/05/07 to 08 (night), 2021/05/13 to 14 (night), 2021/05/14 to 15 (night), 2021/05/15 to 16 (night), 2021/05/16 to 17 (night), 2021/05/17 to 18 (night), 2021/05/18 to 19 (night), 2021/05/19 to 20 (night), 2021/05/20 to 21 (night), 2021/05/21 to 22 (night), 2021/05/22 to 23 (night), 2021/05/24 to 25 (night), 2021/05/27 to 28 (night), 2021/05/29 to 30 (night)
DOI: 10.1594/pangaea.934327
title: Basic measurements of radiation at station Sonnblick (2021-06)
DOI: 10.1594/pangaea.935556
title: Basic and other measurements of radiation at station Ny-Ålesund (2021-08)
DOI: 10.1594/pangaea.935198
title: Basic and other measurements of radiation at station Ny-Ålesund (2021-07)
DOI: 10.1594/pangaea.935202
title: Basic measurements of radiation at station Sonnblick (2021-07)
DOI: 10.15156/bio/sh461408.07fu
title: SH461408.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1829447.08fu
title: SH1829447.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1829448.08fu
title: SH1829448.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1829449.08fu
title: SH1829449.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh461409.07fu
title: SH461409.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh461410.07fu
title: SH461410.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1829450.08fu
title: SH1829450.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1829451.08fu
title: SH1829451.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh461411.07fu
title: SH461411.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh461412.07fu
title: SH461412.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.