cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5880/digis.e.2024.005
title: Geochemical compositions of igneous rocks of the Central Andean orocline

description: Compilation of more than 1500 major- and trace-element data points, and 650 Sr-, 610 Nd-, and 570 Pb-isotopic analyses of Mesozoic-Cenozoic (190–0 Ma) magmatic rocks in southern Peru, northern Chile and Bolivia (Central Andean orocline). This compilation was initially published by Mamani et al. (2010) and was based on selected data published up until 2009, combined with new data from that study. 
 
Related key publication: Mamani, M., Wörner, G., & Sempere, T. (2010). Geochemical variations in igneous rocks of the Central Andean orocline (13°S to 18°S): Tracing crustal thickening and magma generation through time and space. GSA Bulletin, 122(1–2), 162–182. https://doi.org/10.1130/B26538.1
description: The DIGIS geochemical data repository is a research data repository in the Earth Sciences domain with a specific focus on geochemical data. It is hosted at GFZ Data Services through a collaboration between the Digital Geochemical Data Infrastructure (DIGIS) for GEOROC 2.0 (https://digis.geo.uni-goettingen.de) and the GFZ German Research Centre for Geosciences. The repository archives, publishes and makes accessible user-contributed, peer-reviewed research data that fall within the scope of the GEOROC database. Compilations of previously published data are also made available on the GEOROC website (https://georoc.eu) as Expert Datasets.
DOI: 10.5880/fidgeo.2024.002
title: Multiparametric measurements of the 2021 Tajogaite eruption on La Palma, Canary Islands, Spain

description: This data repository contains electrical and seismic tremor measurements, thermal infrared imagery, atmospheric conditions and information on plume heights that were recorded and collected during the 2021 Tajogaite eruption on La Palma, Canary Islands, Spain. The 2021 Tajogaite eruption lasted from 19 September until 13 December 2021. The "data description" file provides more detailed information on each dataset and the way the data is formatted. 
 
The electrical data was recorded using a Biral Thunderstorm Detector BTD-200. This sensor was installed at two consecutive locations: BTD1 (28.635°N, 17.876389°W) recorded from 11-26 October 2021 and BTD2 (28.602365°N, 17.880475°W) recorded from 27 October 2021 until the end of the eruption. 
 
The volcanic tremor measurements were recorded at seismic station PLPI (28.5722°N, 17.8654°W), which was operated by the Instituto Volcanológico de Canarias. Here we provide the seismic tremor amplitudes within the Very Long Period (0.4-0.6 Hz) and the Long Period (1-5 Hz) frequency bands between 10 September and 20 December 2021. 
 
Thermal infrared videography of the explosive volcanic activity was done using an InfraTec HD thermal infrared (TIR) video camera. This camera was installed in El Paso (28.649361°N, 17.882279°W) and recorded almost continuously between 3-8 November 2021. Here we provide individual thermal infrared frames. 
 
Atmospheric conditions were obtained from weather balloon measurements at Güímar (station nr. 60018) on Tenerife, which were provided by the University of Wyoming, Department of Atmospheric Science (http://weather.uwyo.edu/). In addition, atmospheric data was collected from ground-based weather stations at El Paso and Roque de los Muchachos, which were operated by the State Meteorological Agency (AEMET) of Spain on La Palma. 
 
Information on the volcanic plume heights was obtained from both the Toulouse Volcanic Ash Advisory Center (https://vaac.meteo.fr/volcanoes/la-palma/) as well as the Plan de Emergencias Volcánicas de Canarias.
DOI: 10.5880/gfz.2.7.2020.001
title: Geophysical Borehole logging at Santa Gracia, Chile

description: The DFG funded DeepEarthshape project within the SPP1803 EarthShape (second phase) combines several geoscientific methods and approaches to study the weathering zone in detail in dependence of climate conditions. Projects of the first phase have shown that the weathering zone is much deeper than expected, so that the weathering front was never encountered in the excavated soil pits. At depth of 1 – 2 m appreciable amounts of microbial biomass and DNA counts were encountered. It was further found that bacteria and archaea colonizing rock surfaces are close relatives to those from deeper soil zones. Because we do not know a) the depth of weathering; b) the process advancing it; c) whether this advance is driven by water, gases, and/or biological activity and concentrated along faults; d) whether this zone presents a habitat and interacts with the surface biosphere, we have designed a drilling campaign at all four study sites for joint geochemical, biogeochemical and microbiological exploration and a geophysical campaign for imaging the depth and physical properties of the critical zone. The principle hypotheses of the DeepEarthshape projects are: 1) The advance of the weathering front at depth is a recent process that is linked to climate and coupled with erosion at the surface through a biogeochemical feedback 2) Microbial activity in the deep regolith that advances weathering is fuelled by young organic matter. The four study sites are distributed along the coast of Chile to have a similar geological setting at one hand but different climatic conditions. Here we present the logging data of the first geophysical borehole survey which took place at Santa Gracia, 40 km NE of La Serena (Coquimbo Region, Chile). The data were acquired on the 2nd of April 2019 between . The borehole logging was conducted by COMPROBE. The vertical borehole reached down to 87.2 m depth and had a diameter (PQ) of 83.5 mm.
description: The Acoustic Televiewer data are freely accessible now in .dlis and PDF formats. The original data files are embargoed until the 30 June 2022.
DOI: 10.5880/wsm.2018.002
title: Smoothed global stress maps based on the World Stress Maps database release 2016

description: The World Stress Map (WSM) is the global compilation of information on the present-day stress field in the Earth's crust. The current WSM database release 2016 (Heidbach et al., 2016) has 42,870 data records, but the data are unevenly distributed and clustered.To analyse the wave-length of the crustal stress pattern of the orientation of maximum horizontal stress Shmax, we use so-called smoothed stress maps that show the mean SHmax orientation on regular grids. The mean SHmax orientation is estimated with the Matlab® script stress2grid (Ziegler and Heidbach, 2017) which is based on the statistics of bi-polar data. The script provides two different approaches to calculate the mean SHmax orientation on regular grids.The first is using a constant search radius around the grid point and computes the mean SHmax orientation if sufficient data records are within the given fixed search radius. This can result in mean SHmax orientations with a high standard deviation of the individual mean SHmax orientation and it may hide local perturbations. Thus, the mean SHmax orientation is not necessarily reliable for a local stress field analysis.The second approach is using variable search radii and determines the search radius for which the standard deviation of the mean SHmax orientation is below a user-defined threshold. This approach delivers the mean SHmax orientations with a user-defined degree of reliability. It resolves local stress perturbations and is not available in areas with no data or conflicting information that result in a large standard deviation.The search radius starts with 1000 km and is decreased in 100 km steps down to 100 km. Mean SHmax orientation is taken and plotted here for the largest search radius when the standard deviation of the mean SHmax orientation at the individual grid points is smaller than 25°. For the estimation of the mean Shmax we selected the following data: A-C quality data without PBE flag.Furthermore, only data records located on the same tectonic plate as the grid point is used to calculate the mean SHmax orientation. Minimum number of data records within the search radius is n = 5 and data records within a distance of d ≤ 200 km to the nearest plate boundary are not used. Plate boundaries are taken from the global model PB2002 from Bird (2003).Furthermore, a distance and data quality weight is applied; the distance threshold is set to 10% of the search radius. We provide the resulting smoothed stress data for four global grids (0.2°, 0.5°, 1°, and 2° grid spacing) using two fixed search radii (250 and 500 km) and the approach with variable search radii. Details on the format of the data files with the mean SHmax orientation are provided in the 2018-002_readme file.
DOI: 10.5880/hpo.0001
title: Geomagnetic Hpo index

description: This data publication includes the half-hourly Hp30 and ap30 indices as well as the hourly Hp60 and ap60 indices. All are unitless and collectively denoted as Hpo or Hpo index family. The dataset is based on near real-time geomagnetic observatory data provided by 13 contributing observatories. It is derived and distributed by GFZ German Research Centre for Geosciences. When using the Hpo index, please cite this data publication as well as the accompanying publication Matzka et al. (in prep), which serves as documentation of the Hpo index family. The dataset is organised in yearly files, which, for the current year, are updated on a monthly basis. Typically, during the second week of a month, the data for the previous month is appended to the current year's file. The files are in ASCII files and start with header lines marked with # (hash). The Hpo index was developed within the H2020 project SWAMI and is produced by Geomagnetic Observatory Niemegk, GFZ German Research Centre for Geosciences. It derives from the same 13 geomagnetic observatories that also contribute to the Kp index (Matzka et al., 2021). They are listed as contributors to this data publication. With the introduction of the DOI ‘https://doi.org/10.5880/Hpo.0001’, this DOI landing page and the associated FTP server linked to the DOI become the primary archive of Hpo (while the other established index distribution mechanisms at GFZ will be maintained in parallel). With the DOI, the dataset can grow with time, but a change of the data, once published, is not possible. If necessity arises in the future to correct already published values, then the corrected dataset will be published with a new DOI. Older DOIs and data sets will then still be available. For each DOI, an additional versioning mechanism will be available to document changes to the files such as header or format changes, which do not affect the integrity of the data. The DOI https://doi.org/10.5880/Hpo.0001 identifies the current version. A format description is provided in the data download folder.
description: The dataset is organised in yearly files, which, for the current year, are updated on a monthly basis. Typically, during the second week of a month, the data for the previous month is calculated and appended to the current year's file, both for the definitive and nowcast version. While the definitive Kp (and derived indices) are calculated from K values provided by the contributing observatories, the nowcast Kp (and derived indices) are calculated at GFZ from observatory data provided by the contributing observatories. The data are distributed in ASCII files. All files start with 10 header lines, each starting with a number sign (#, hash) and containing DOI as well as license information. Note that leading zeroes are not shown, they are represented by blanks. Missing data would be represented by -1. For more information, please refer to the associated data description and Matzka et al. (in prep).
DOI: 10.5880/enmap.2024.001
title: Demmin, Germany (2015) - a (hyperspectral) dataset for active participation in the HYPERedu MOOC on soil applications

description: This dataset accompanying the MOOC on soil applications contains an airborne hyperspectral HySpex image over the study site Demmin in Northern Germany which was recorded in October 2015. The surrounding area of Demmin is characterized by its glacial past and is largely used for agriculture. Here you can find relics of the ice age such as kettle holes - small, completely closed hollow shapes whose formation is attributed to the burial and subsequent thawing of an ice lens. Mostly overgrown nowadays by vegetation, SOC accumulates in these areas and higher contents are measured. The image dataset is fully pre-processed – all non-soil pixels are masked, the spectra were smoothed using a Savitzky-Golay Filter and transformed to first derivatives – and provided in BSQ format. 
 
In addition to the HySpex image, this dataset contains a point data shapefile with 27 sampling locations, as well as information on the soil organic carbon (SOC) contents [g/kg]. The dataset is made publicly available as part of the Massive Open Online Course (MOOC) "Beyond the Visible - Imaging Spectroscopy for Soil Applications ", available from Spring 2023. Guidance on how to derive quantitative soil maps (SOC content) using the EnMAP-Box (QGIS plugin) are provided as videos at the HYPERedu YouTube channel, the soil MOOC course pages and the regression workflow documentation.
description: HYPERedu is an education initiative within the Environmental Mapping and Analysis Program (EnMAP), a German hyperspectral satellite mission that aims at monitoring and characterizing the Earth’s environment on a global scale. EnMAP serves to measure and model key dynamic processes of the Earth’s ecosystems by extracting geochemical, biochemical and biophysical variables, which provide information on the status and evolution of various terrestrial and aquatic ecosystems.
DOI: 10.15468/dl.zfmus2
title: Occurrence Download

description: A dataset containing 100656 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aquila nipalensis"
 ]
}

 The dataset includes 100656 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044070-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5880/enmap.2024.002
title: Cabo de Gata-Nίjar Natural Park, Spain (2005) - a (hyperspectral) dataset for active participation in the HYPERedu MOOC on soil applications

description: The dataset contains a subset of an airborne hyperspectral HyMap image over the Cabo de Gata-Nίjar Natural Park in Spain from 15.06.2005, and soil wet chemistry data based on in-situ soil sampling. The Cabo de Gata-Nίjar Natural Park is a semi-arid mediterranean area in Southern Spain, sparsely populated and with a range of landscape patterns. The soils in this area are developed on volcanic and carbonatic bedrocks and are highly variable in their textural and mineralogical composition, offering interesting spectral variability. The airborne survey was acquired during a DLR / HyVista HyEurope campaign. The image dataset is fully processed for atmospheric and geometric correction with PARGE and ATCOR and is provided as orthorectified reflectance in BSQ format. Spatial resolution is 5 m and spectral coverage is 0.45-2.45 μm with 12-17 nm spectral sampling. 
 
In addition to the HyMap imagery, this dataset contains two soil reference datasets as CSV files, namely in-situ data for clay content and iron content. 
 
The dataset is made publicly available as part of the Massive Open Online Course (MOOC) "Beyond the Visible - Imaging Spectroscopy for Soil Applications ", available from Spring 2024. 
 
Guidance on how to derive semiquantitative and quantitative soil maps (clay and iron content) using the EnMAP-Box (QGIS plugin) EnSoMAP tool are provided as videos at the HYPERedu YouTube channel (https://www.youtube.com/@HYPERedu_GFZ/playlists) and the soil MOOC course pages (https://eo-college.org/courses/beyond-the-visible-imaging-spectroscopy-for-soil-applications/).
description: HYPERedu is an education initiative within the Environmental Mapping and Analysis Program (EnMAP), a German hyperspectral satellite mission that aims at monitoring and characterizing the Earth’s environment on a global scale. EnMAP serves to measure and model key dynamic processes of the Earth’s ecosystems by extracting geochemical, biochemical and biophysical variables, which provide information on the status and evolution of various terrestrial and aquatic ecosystems.
DOI: 10.5880/digis.2023.006
title: Mo, Sr, Nd isotopes and major and trace element concentrations for lavas and enclaves from Solander Volcano, basement rocks and one altered oceanic basalt

description: The dataset contains major, trace element concentrations and Mo (stable), Sr (radiogenic) and Nd (radiogenic) isotope composition of lavas and enclaves from Solander Volcano (Solander and Little Solander Islands) as well as local basement rocks (xenoliths or borehole samples) and one local AOC (altered oceanic crust) sample. Major elements were analysed by XRF at the University of Wollongong; trace elements by ICP-MS and Sr and Nd isotopic compositions by TIMS at Macquarie University; Th, Zr, Hf and Y by LA-ICP-MS at the Australian National University; Mo compositions by MC-ICP-MS at the University of Göttingen; and S by IR-SP at the University of Münster. These data are published as a supplement to Bezard et al. (submitted), The role of exsolved fluids on the Mo isotopic composition of arc lavas: insights from the adakitic rocks of Solander volcano, Geochemistry, Geophysics, Geosystems. A subset of these data were previously published in Foley et al. (2012). Magmatic Evolution and Magma Mixing of Quaternary Adakites at Solander and Little Solander Islands, New Zealand, Journal of Petrology, 54(4), 703–744, https://doi.org/10.1093/petrology/egs082 and Foley et al. (2014). 10Be, 18O and radiogenic isotopic constraints on the origin of adakitic signatures: a case study from Solander and Little Solander Islands, New Zealand, Contributions to Mineralogy and Petrology, 168(3), https://doi.org/10.1007/s00410-014-1048-9. This work was funded by the German Research Foundation (DFG Grant BE 6670/1-1, Project No. 418227749) and Australian Research Council Discovery Project 0986232.
description: The DIGIS geochemical data repository is a research data repository in the Earth Sciences domain with a specific focus on geochemical data. The repository archives, publishes and makes accessible user-contributed, peer-reviewed research data in standardised form (EarthChem Team, 2022) that fall within the scope of the GEOROC database. All submissions of new data will be considered for inclusion in the GEOROC database. It is hosted at GFZ Data Services through a collaboration between the Digital Geochemical Data Infrastructure (DIGIS) for GEOROC 2.0 (http://digis.geo.uni-goettingen.de) and the GFZ German Research Centre for Geosciences.
DOI: 10.5880/fidgeo.2018.022
title: Ring-shear test data of plastic sand, a new rock analogue material used for experimental Earth Science applications at Utrecht University, The Netherlands

description: This dataset provides friction data from ring-shear test (RST) on a plastic (polyester) sand material that has been used in flume experiments (Marra et al., 2014; Kleinhans et al., 2017) and is now used in the Tectonic Laboratory (TecLab) at Utrecht University (NL) as an analogue for brittle layers in the crust or lithosphere. Detailed information about the data, methodology and a list of files and formats is given in the data description and list of files that are included in the zip folder and also available via the DOI landing page.
      The material has been characterized by means of internal friction coefficient and cohesion as a remote service by GFZ Potsdam for TecLab (Utrecht University). According to our analysis the material behaves as a Mohr-Coulomb material characterized by a linear failure envelope and peak, dynamic and reactivation friction coefficients of 0.76, 0.60, and 0.66, respectively. Cohesions are in the order of few tens of Pa. A minor rate-weakening of 3% per ten-fold rate change is evident.
DOI: 10.5880/fidgeo.2021.031
title: GlobaLID – Global Lead Isotope Database

description: This dataset is a continuously growing collection of lead isotope reference data. Lead isotopes are an established method to reconstruct the raw material provenance of archaeological objects. They are typically applied to artefacts made of copper, lead, silver, and their alloys. However, also the raw material provenance of other materials such as glass, pigments and pottery was already reconstructed with lead isotopes. To successfully reconstruct the origin of the raw material, lead isotope signatures from as many as possible suitable raw material occurrences must be known. In the past, large-scaled research projects were carried out to characterise ore deposits especially in the Mediterranean area and Western Europe. However, many of these data are dispersed in the literature and were published in scientific articles or monographies. Consequently, each researcher or at least each research group had to build their own up-to-date data base of reference data from the literature. To overcome these restrictions, to facilitate work with lead isotope reference data and particularly to make the data FAIR, i.e. findable, accessible, interoperable and reusable (Wilkinson et al., 2016), these published data are compiled and transferred into a uniform layout. They are further enhanced with additional metadata to facilitate their use in raw material provenance studies. Currently, the database is restricted to ores and minerals as these are the most relevant materials for provenance studies of ancient metals. Future updates will include hitherto uncovered regions but also additional data from countries already present. Slag and other metallurgical (by-) products from ancient sites in close vicinity to ore deposits generally are a genuine representation of the ores utilised in historic times. As such, they are highly relevant for provenance studies and an extension to these materials is therefore planned. GlobaLID is a representation of the collective work of researchers on Pb isotope studies. As such, the database is seen as a community engagement project that invites scientists all over the world to become active contributors of GlobaLID. The initiators of the database dedicate their effort to the continuation and maintenance of the database but only the support of the whole community will allow a rapid and successful growth of GlobaLID.
DOI: 10.5880/gfz.1.2.2024.001
title: High-resolution subsidence maps and data for whole Afghanistan, and, in a higher resolution, for Kabul and Ghazni provinces (2015-2022)

description: We present high-resolution subsidence maps for whole Afghanistan, and, in a higher resolution, for Kabul and Ghazni provinces. These data are complemented by wells water level time-series and precipitation data of Kabul, and time-series of mapped solar panel arrays, mapped Kariz networks, mapped desiccation cracks of 2022, and the Normalized Difference Vegetation Index (NDVI) of Ghazni province. 
 
The subsidence maps result from a small-baseline (SBAS) time-series analysis (Lazecky et al., 2020; Morishita et al., 2020; Yunjun et al., 2019) of ~7 years of freely available Sentinel-1 radar data. The monthly wells water level time-series 2013-2022 were digitized from the log data of the Afghan Ministry of Water and Energy. The NDVI data 2015-2022 were derived from Sentinel-2 optical imagery. The solar panel arrays were mapped on high-resolution online Google Earth Pro imagery data in 2016, 2019 and 2022. More details of data processing and methods can be found in (Kakar et al., 2023), currently under review at AGU Water Resources. The jupyter notebook documents the creation of key figures.