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  • 1
    Publication Date: 2024-07-03
    Description: Abstract
    Description: This data publication includes the half-hourly Hp30 and ap30 indices as well as the hourly Hp60 and ap60 indices, collectively denoted as Hpo. This 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 publications Yamazaki et al. (2024) and Yamazaki et al. (2022), which serve as documentation of the Hpo. 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 initially developed within the H2020 project SWAMI (grant agreement No 776287) 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, https://doi.org/10.5880/Kp.0001). They are listed as contributors to this data publication. With the introduction of the DOI for the Hpo index (Matzka et al, 2021, https://doi.org/10.5880/Hpo.0001), this DOI landing page and the associated HTTPS 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.0003 identifies the current version. A format description and a version history are provided in the data download folder.
    Description: Other
    Description: Version history: 2024-07-10: publication of version 3.0 (https://doi.org/10.5880/Hpo.0003). This version replaces version Hpo.0001 and Hpo.0002. The algorithm to calculate Hpo was changed to give a better occurrence frequency of index values for Hpo 〉= 9. Additionally, index values for 1984 to 1995 were added. The change is described in the accompanying publication. ------------------------------------------------------------ 2022-05-13: Addition of key reference (Yamazaki et al. 2022, https://doi.org/10.1029/2022GL098860) to the landing page, the data files and the format description (metadata update, no new version released) ------------------------------------------------------------ 2022-03-26: Publication of Version 2.0 (https://doi.org/10.5880/Hpo.0001). This version replaces version Hpo.0001. The Hpo, like the Kp nowcast, is based on the FMI algorithm (see Matzka et al., 2021, https://doi.org/10.1029/2020SW002641) and goes through a rescaling procedure to be more similar to the definitive Kp values. The data in version Hpo.0001 from 2018 onwards suffered from a slight error in this rescaling algorithm, causing for example somewhat too few Hpo 0 values and somewhat too many Hpo 0.333 values. This error was corrected for version Hpo.0002. The values from 1995 to 2017 are identical for both versions. ------------------------------------------------------------ 2021-04-26: Publication of Version 1.0 (https://doi.org/10.5880/Hpo.0001)
    Keywords: Hpo ; Hpo index ; Hp30 ; ap30 ; Hp60 ; ap60 ; Kp ; Kp index ; ap index ; geomagnetism ; space weather ; space physics ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMAGNETISM ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMAGNETISM 〉 GEOMAGNETIC INDICES 〉 KP INDEX ; EARTH SCIENCE 〉 SUN-EARTH INTERACTIONS ; EARTH SCIENCE 〉 SUN-EARTH INTERACTIONS 〉 IONOSPHERE/MAGNETOSPHERE DYNAMICS 〉 AURORAE ; EARTH SCIENCE 〉 SUN-EARTH INTERACTIONS 〉 IONOSPHERE/MAGNETOSPHERE DYNAMICS 〉 GEOMAGNETIC INDICES ; EARTH SCIENCE 〉 SUN-EARTH INTERACTIONS 〉 IONOSPHERE/MAGNETOSPHERE DYNAMICS 〉 MAGNETIC FIELDS/MAGNETIC CURRENTS ; EARTH SCIENCE 〉 SUN-EARTH INTERACTIONS 〉 IONOSPHERE/MAGNETOSPHERE DYNAMICS 〉 MAGNETIC STORMS ; EARTH SCIENCE 〉 SUN-EARTH INTERACTIONS 〉 IONOSPHERE/MAGNETOSPHERE DYNAMICS 〉 SOLAR WIND
    Type: Dataset , Dataset
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  • 2
    Publication Date: 2024-07-01
    Description: Abstract
    Description: The ability to use geothermal resources to generate heat in urban areas where the demand is greatest has the potential to significantly reduce our reliance on fossil fuels, and to support sustainable energy policies. Potential deep geothermal resources in challenging, lower-enthalpy EU settings remain poorly understood and largely untapped. The GEO-URBAN project aims to explore the potential for low enthalpy geothermal in urban environments. The project will focus on two target locations – Dublin, Ireland and Vallès, Spain – and will provide a feasibility analysis for the commercial development of deep geothermal resources in these regions. The overall objective of GEO-URBAN is to identify the geothermal resources available in two challenging urban locations and to demonstrate a commercialisation strategy that has the potential to be adapted in other similar locations. Waveform data is available from the GEOFON data centre, under network code 1V, and is {fully open.
    Keywords: EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 SEISMOLOGICAL STATIONS ; Passive seismic ; Seismometers ; Velocity ; MiniSEED
    Type: Dataset , Seismic Network
    Format: 114.4GB
    Format: .mseed
    Format: XML
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  • 3
    Publication Date: 2024-06-30
    Description: Abstract
    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: Other
    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).
    Keywords: Kp ; Kp index ; ap index ; Ap index ; space weather ; space physics ; geomagnetism ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMAGNETISM ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMAGNETISM 〉 GEOMAGNETIC INDICES 〉 KP INDEX ; EARTH SCIENCE 〉 SUN-EARTH INTERACTIONS ; EARTH SCIENCE 〉 SUN-EARTH INTERACTIONS 〉 IONOSPHERE/MAGNETOSPHERE DYNAMICS 〉 AURORAE ; EARTH SCIENCE 〉 SUN-EARTH INTERACTIONS 〉 IONOSPHERE/MAGNETOSPHERE DYNAMICS 〉 GEOMAGNETIC INDICES ; EARTH SCIENCE 〉 SUN-EARTH INTERACTIONS 〉 IONOSPHERE/MAGNETOSPHERE DYNAMICS 〉 MAGNETIC FIELDS/MAGNETIC CURRENTS ; EARTH SCIENCE 〉 SUN-EARTH INTERACTIONS 〉 IONOSPHERE/MAGNETOSPHERE DYNAMICS 〉 MAGNETIC STORMS ; EARTH SCIENCE 〉 SUN-EARTH INTERACTIONS 〉 IONOSPHERE/MAGNETOSPHERE DYNAMICS 〉 SOLAR WIND
    Type: Dataset , Dataset
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  • 4
    Publication Date: 2024-06-27
    Description: Abstract
    Description: The data comprises time series from three automatic meteorological and snow-hydrological stations situated in the Rofental (1891–3772 m a.s.l., Ötztal Alps, Austria). The recordings have been collected from Jan 2017 to Aug 2023. Some data sets represent continuations of time series at existing locations, others come from new installations complementing the scientific monitoring infrastructure in the research catchment. The stations are situated at 2737, 2805, and 2919 m a.s.l. and include automatic measurements of meteorological (temperature, precipitation, humidity, wind speed, and radiation fluxes) and snow-hydrological variables (snow depth, snow water equivalent, volumetric solid and liquid water content, snow density, layered snow temperature profiles, snow surface temperature, and snow drift). The data are sampled by fully automatic weather stations (AWS). The data retrieved by the sensors is stored on a logger in 10 min. temporal resolution. The data is continuously transferred by GSM to a server. The data processing consists of transfer of the raw data from the logger to a data server, basic processing steps (e.g., temperature correction long-wave radiation, decumulating precipitation measurements), and a semi-automatic correction for erroneous values.
    Keywords: meteorological stations ; snow-hydrological measurements ; Alpine catchment ; EARTH SCIENCE 〉 ATMOSPHERE ; EARTH SCIENCE 〉 CRYOSPHERE 〉 SNOW/ICE ; EARTH SCIENCE 〉 TERRESTRIAL HYDROSPHERE 〉 SNOW/ICE ; In Situ/Laboratory Instruments
    Type: Dataset , Dataset
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  • 5
    Publication Date: 2024-06-27
    Description: Abstract
    Description: The here referenced dataset provides eventbased Distributed Acoustic Sensing (DAS) recordings made with an approximately 22 km long dark telecommunication fiber lying in urban Potsdam and surroundings. For each of 164 M〉=5 earthquakes occurring in February 2023 and listed by the USGS, one hour of data is provided starting with the event's origin time. Additionally, the whole day of February 14 is provided in hourly files. The data was recorded in the frame of the global DAS month, an initiative to collaboratively record and share simultaneously recorded DAS data from all over the world (https://www.norsar.no/in-focus/global-das-monitoring-month-february-2023). DAS is an emerging technology increasingly used by seismologists to convert kilometer long optical fibers into seismic sensors.
    Keywords: Distributed daynamic strain sensing ; Distributed Acoustic Sensing ; DAS ; teleseismic earthquakes ; dark fiber ; telecommunication fiber ; DAS-month ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 SEISMIC PROFILE 〉 SEISMIC BODY WAVES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 SEISMIC PROFILE 〉 SEISMIC SURFACE WAVES
    Type: Dataset , Dataset
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  • 6
    Publication Date: 2024-06-26
    Description: Abstract
    Description: In biochemical systems, enzymes catalyze the endergonic phosphorylation of adenosine diphos-phate (ADP) to adenosine triphosphate (ATP) by different pathways, e.g., oxidative phosphoryla-tion catalyzed by membrane bound ATP synthase or substrate-level phosphorylation. The stored energy is released by the enzymatically controlled exergonic hydrolysis of ATP to power other vital endergonic reactions; therefore, ATP is widely known as the universal energy currency. Rapid abiotic ATP hydrolysis kinetics thus means higher maintenance energy costs for cells, and it has been suggested that this is an important factor in setting the limits to the functioning of living organisms (Bains et al. 2015). In order to evaluate the running conditions of the in-situ procedure by Moeller et al. (2022) using Raman spectroscopy opened up an efficient way of obtaining further insights to the effects of P-T- ionic composition on the kinetics of ATP-ADP hy-drolysis. Raman spectroscopy can be combined with a hydrothermal diamond anvil cell, which provides an isochoric system for measurements up to pressures of 2000 MPa. Another system for in-situ Raman spectroscopy at elevated pressures and temperatures is based on an autoclave fitted with optical high-pressure windows, as shown by Louvel et al. (2015) and works up to 200 MPa. In this system, pressure and temperature can be controlled independently, so that isobaric temperature series are possible. This data publication compromises all Raman spectra measured in-situ of N2H2ATP solutions at 80, 100 and 120 °C and up to 1666 MPa to determine the rate constants of the hydrolysis of adenosine triphosphate (ATP) to adenosine diphosphate (ADP) at 48 different P-T conditions. Furthermore, an assignment of peaks in the fitted range, the initial fit parameters and the fit-results are provided. Besides the kinetic data, the pH of the ATP solutions was calculated at ex-perimental temperature and pressure conditions.
    Keywords: ATP ; adenosine triphosphate ; ADP ; adenosine diphosphate ; AMP ; adenosine monophosphate ; In-situ Raman spectroscopy ; Autoclave ; Hydrothermal diamond anvil cell ; HDAC ; Hydrolysis ; Kinetics ; biosphere 〉 biological process 〉 animal life 〉 metabolism 〉 metabolite ; chemical process 〉 chemical reaction 〉 reaction kinetics ; EARTH SCIENCE 〉 OCEANS 〉 MARINE VOLCANISM 〉 HYDROTHERMAL VENTS
    Type: Dataset , Dataset
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  • 7
    Publication Date: 2024-06-26
    Description: Abstract
    Description: The Global Gravity-based Groundwater Product (G3P) provides groundwater storage anomalies (GWSA) from a cross-cutting combination of GRACE/GRACE-FO-based terrestrial water storage (TWS) and storage compartments of the water cycle (WSCs) that are part of the Copernicus portfolio. The data set comprises gridded anomalies of groundwater, TWS, and the WSCs glacier, snow, soil moisture and surface water bodies plus layers containing uncertainty information for the individual data products. All WSCs are spatially filtered with a Gaussian filter to be compatible with TWS. Spatial coverage is global, except Greenland and Antarctica, with 0.5-degree resolution. Temporal coverage is from April 2002 to December 2020 with monthly temporal resolution. Gridded data sets are available as NetCDF files containing variables for the parameter value as anomaly in mm equivalent water height and the parameter’s uncertainty as mm equivalent water height. The latest version of the data is visualized at the GravIS portal: http://gravis.gfz-potsdam.de/gws. From GravIS, the data is also available as area averages for several large river basins and aquifers, as well as for climatically similar regions. G3P was funded by the EU Horizon 2020 programme in response to the call LC-SPACE-04-EO-2019-2020 “Copernicus evolution – Research activities in support of cross-cutting applications between Copernicus services” under grant agreement No. 870353. --------------------------------------------------------------------------------------------- Version History: 10 March 2023: Release of Version v1.11. This is the initial release of the data.
    Keywords: Terrestrial Water Storage ; Water Balance ; Satellite Gravimetry ; Copernicus ; Groundwater ; Groundwater Storage Variations ; Mass change ; Gravity Recovery And Climate Experiment ; GRACE ; GRACE Follow-on ; GRACE-FO ; Earth Observation Satellites 〉 NASA Earth System Science Pathfinder 〉 GRACE ; EARTH SCIENCE 〉 TERRESTRIAL HYDROSPHERE 〉 GROUND WATER 〉 WATER TABLE ; environment 〉 natural environment 〉 terrestrial environment ; The Present
    Type: Dataset , Dataset
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  • 8
    Publication Date: 2024-06-21
    Description: Abstract
    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.
    Keywords: Volcanic lightning ; Volcanic ash ; Biral Thunderstorm Detector ; Electrostatic measurements ; 2021 Tajogaite eruption ; Cumbre Vieja volcanic ridge ; La Palma ; Canary Islands ; Movement of charge ; Volcanic plume height ; Ice nucleation ; Lava fountaining ; Strombolian activity ; Ash emission ; Gas jetting ; Explosive volcanic activity ; Seismic tremor ; Thermal infrared rise diagram ; Isotherms ; Principal Component Analysis (PCA) ; Very Long Period (VLP) ; Long Period (LP) ; Balloons/Rockets 〉 RADIOSONDES ; EARTH SCIENCE 〉 ATMOSPHERE 〉 ATMOSPHERIC ELECTRICITY 〉 ELECTRIC FIELD ; EARTH SCIENCE 〉 ATMOSPHERE 〉 ATMOSPHERIC ELECTRICITY 〉 LIGHTNING ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 EARTHQUAKE MAGNITUDE/INTENSITY ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 EARTHQUAKE OCCURRENCES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY 〉 ERUPTION DYNAMICS 〉 ASH/DUST DISPERSION ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY 〉 ERUPTION DYNAMICS 〉 VOLCANIC EXPLOSIVITY ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY 〉 VOLCANO MAGNITUDE/INTENSITY ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY 〉 VOLCANO PREDICTIONS ; EARTH SCIENCE 〉 SPECTRAL/ENGINEERING 〉 INFRARED WAVELENGTHS 〉 THERMAL INFRARED ; EARTH SCIENCE SERVICES 〉 ENVIRONMENTAL ADVISORIES 〉 GEOLOGICAL ADVISORIES 〉 VOLCANIC ACTIVITY ; EARTH SCIENCE SERVICES 〉 ENVIRONMENTAL ADVISORIES 〉 WEATHER/CLIMATE ADVISORIES 〉 DUST/ASH ADVISORIES ; EARTH SCIENCE SERVICES 〉 ENVIRONMENTAL ADVISORIES 〉 WEATHER/CLIMATE ADVISORIES 〉 PRESENT WEATHER ; geological process 〉 volcanism 〉 volcanic eruption ; hazard 〉 natural hazard ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 SEISMOLOGICAL STATIONS ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 VOLCANO OBSERVATORY ; In Situ Land-based Platforms 〉 WEATHER STATIONS/NETWORKS 〉 METEOROLOGICAL STATIONS ; In Situ Land-based Platforms 〉 WEATHER STATIONS/NETWORKS 〉 WWLLN ; In Situ/Laboratory Instruments 〉 Electrical Meters ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers 〉 SEISMOMETERS ; monitoring 〉 seismic monitoring ; physical process 〉 transport (physics) 〉 mass transport (physics) ; physical property 〉 electricity ; science 〉 natural science 〉 earth science 〉 geology 〉 volcanology ; science 〉 natural science 〉 earth science 〉 geophysics ; science 〉 physical science 〉 physics 〉 atmospheric physics
    Type: Dataset , Dataset
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  • 9
    Publication Date: 2024-06-20
    Description: Abstract
    Description: This data publication includes the half-hourly Hp30 and ap30 indices as well as the hourly Hp60 and ap60 indices, collectively denoted as Hpo. This 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 Yamazaki et al. (submitted), which serves as documentation of the Hpo. 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 (grant agreement No 776287) 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, https://doi.org/10.5880/Kp.0001). They are listed as contributors to this data publication. With the introduction of the DOI for the Hpo index (Matzka et al, 2021, https://doi.org/10.5880/Hpo.0001), this DOI landing page and the associated HTTPS 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.0002 identifies the current version. A format description and a version history are provided in the data download folder.
    Description: Other
    Description: Version history: 2022-03-26 ---------- Publication of Version Hpo.0002. This version replaces version Hpo.0001. The Hpo, like the Kp nowcast, is based on the FMI algorithm (see Matzka et al., 2021, https://doi.org/10.1029/2020SW002641) and goes through a rescaling procedure to be more similar to the definitive Kp values. The data in version Hpo.0001 from 2018 onwards suffered from a slight error in this rescaling algorithm, causing for example somewhat too few Hpo 0 values and somewhat too many Hpo 0.333 values. This error was corrected for version Hpo.0002. The values from 1995 to 2017 are identical for both versions. 2021-04-26 ---------- Publication of Version Hpo.0001
    Keywords: Hpo ; Hpo index ; Hp30 ; ap30 ; Hp60 ; ap60 ; Kp ; Kp index ; ap index ; geomagnetism ; space weather ; space physics ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMAGNETISM ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMAGNETISM 〉 GEOMAGNETIC INDICES 〉 KP INDEX ; EARTH SCIENCE 〉 SUN-EARTH INTERACTIONS ; EARTH SCIENCE 〉 SUN-EARTH INTERACTIONS 〉 IONOSPHERE/MAGNETOSPHERE DYNAMICS 〉 AURORAE ; EARTH SCIENCE 〉 SUN-EARTH INTERACTIONS 〉 IONOSPHERE/MAGNETOSPHERE DYNAMICS 〉 GEOMAGNETIC INDICES ; EARTH SCIENCE 〉 SUN-EARTH INTERACTIONS 〉 IONOSPHERE/MAGNETOSPHERE DYNAMICS 〉 MAGNETIC FIELDS/MAGNETIC CURRENTS ; EARTH SCIENCE 〉 SUN-EARTH INTERACTIONS 〉 IONOSPHERE/MAGNETOSPHERE DYNAMICS 〉 MAGNETIC STORMS ; EARTH SCIENCE 〉 SUN-EARTH INTERACTIONS 〉 IONOSPHERE/MAGNETOSPHERE DYNAMICS 〉 SOLAR WIND
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  • 10
    Publication Date: 2024-06-20
    Description: Abstract
    Description: All datasets provided in the operational dataset (Heubeck et al., 2024) of the ICDP project BASE (ICDP 5069) consist of metadata, data and/or images. Here, a summary of explanations of the tables, data and images exported from the database of the project (mDIS BASE) are given and are complemented by additional information on data from measurements done in the laboratory prior to the sampling party. Finally, the sampling data from the first two sampling parties are added. Some basic definitions of identifiers used in ICDP, depths corrections and measurements are also introduced. The BASE (Barberton Archean Surface Environments) scientific drilling project focused on recovering unweathered continuous core through strata of the Paleoarchean Moodies Group (ca. 3.2 Ga), central Barberton Greenstone Belt (BGB), South Africa. They comprise some of the oldest well-preserved sedimentary strata on Earth, deposited within only a few million years in alluvial, fluvial, coastal-deltaic, tidal, and prodeltaic settings; they represent a very-high-resolution record of Paleoarchean surface conditions and processes. Moodies Group strata consist of polymict conglomerates, widespread quartzose, lithic and arkosic sandstones, siltstones, shales, and rare BIFs and jaspilites, interbedded with tuffs and several thin lavas. This report describes operations from preparations to the sampling workshop and complements the related scientific report. Eight inclined boreholes between 280 and 495 m length, drilled during November 2021 through July 2022, obtained a total of 2903 m of curated core of variable quality through steeply to subvertically dipping, in part overturned stratigraphic sections. All drilling objectives were reached. Boreholes encountered a variety of conglomerates, diverse and abundant, mostly tuffaceous sandstones, rhythmically laminated shale-siltstone and banded-iron formations, and several horizons of early-diagenetic sulfate concretions. Oxidative weathering reached far deeper than expected; fracturing was more intense, and BIFs and jaspilites were thicker than anticipated. Two km-long mine adits and a water tunnel, traversing four thick stratigraphic sections within the upper Moodies Group in the central BGB, were also sampled. All boreholes were logged by geophysical instruments. Core was processed (oriented, slabbed, photographed, described, and archived) in a large, publicly accessible hall in downtown Barberton. An exhibition provided background explanations for visitors and related the drilling objectives to the recently established Barberton-Makhonjwa Mountains World Heritage Site. A substantial education, outreach and publicity program addressed the information needs of the local population and of local and regional stakeholders.
    Keywords: Africa ; South Africa ; Barberton ; Early Life Ecology ; Greenstone Belt ; Moodies ; ocean and atmosphere ; oxygen ; ICDP ; International Continental Scientific Drilling Programme ; EARTH SCIENCE 〉 PALEOCLIMATE 〉 LAND RECORDS 〉 BOREHOLES ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROPERTIES ; Precambrian 〉 Archean
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