cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17092188
title: Eine Erzählung als Denkmal: Zeitzeugeninterviews

description: Der Datensatz enthält alle in der Publikation Eine Erzählung als Denkmal. Die Methode der narrativen Rekonstruktion am Beispiel des Raumflug-Planetariums „Sigmund Jähn“ in Halle an der Saale zitierten Zeitzeugeninterviews. Die in den Jahren 2017-2019 geführten Interviews über die Architekturgeschichte der DDR (insbesondere des Betonschalenbaus), zur Baugeschichte des Raumflugplanetariums in Halle (Saale) und seines Ersatzneubaus am Holzplatz, zur Geschichte der populärwissenschaftlichen Astronomie in der DDR und zur Ortsgeschichte des Raumflugplanetariums auf der Peißnitzinsel in Halle. Alle Interviews führte Wolfram Höhne. Die Gesprächspartner*innen waren: Rüdiger Brandenburger, Bruno Flierl, Thomas Flierl, Romy Fuchs, Kerstin Guldenpfennig, Ruth Heftrig, Rolf Heider, Dieter B. Herrmann, Hans Reinhardt Kokott, Gerhard Kowalski, Julius Krebs, Jörg Lichtenfeld, Andreas Liste, Ulrich Möbius, Knut Müller, Klaus Schmid, Annette Stöpel, Peter Weeck, Peter Ziegler. 
description: The dataset contains all interviews cited in the publication Eine Erzählung als Denkmal. Die Methode der narrativen Rekonstruktion am Beispiel des Raumflug-Planetariums „Sigmund Jähn” in Halle an der Saale. The interviews were conducted between 2017 and 2019 and cover the architectural history of the GDR (especially concrete shell construction), the construction history of the space flight planetarium in Halle (Saale) and its replacement building at Holzplatz, the history of popular science astronomy in the GDR, and the local history of the space flight planetarium on Peißnitz in Halle. All interviews were conducted by Wolfram Höhne. The interviewees were: Rüdiger Brandenburger, Bruno Flierl, Thomas Flierl, Romy Fuchs, Kerstin Guldenpfennig, Ruth Heftrig, Rolf Heider, Dieter B. Herrmann, Hans Reinhardt Kokott, Gerhard Kowalski, Julius Krebs, Jörg Lichtenfeld, Andreas Liste, Ulrich Möbius, Knut Müller, Klaus Schmid, Annette Stöpel, Peter Weeck, and Peter Ziegler.
DOI: 10.5281/zenodo.17876971
title: Oceanic Surface Gravity Wave Components in 5 Hz GNSS Noise model

description: There are datesets for the study of Oceanic Surface Gravity Wave Components in 5 Hz GNSS Noise model. The GNSS raw data could download from UNAVCO (https://www.unavco.org/data/gps-gnss/gps-gnss.html) with the marklist files, while the seismograph raw data could download from IRIS (https://ds.iris.edu/wilber3/find_event).
DOI: 10.5281/zenodo.17876972
title: Oceanic Surface Gravity Wave Components in 5 Hz GNSS Noise model

description: There are datesets for the study of Oceanic Surface Gravity Wave Components in 5 Hz GNSS Noise model. The GNSS raw data could download from UNAVCO (https://www.unavco.org/data/gps-gnss/gps-gnss.html) with the marklist files, while the seismograph raw data could download from IRIS (https://ds.iris.edu/wilber3/find_event).
DOI: 10.5281/zenodo.17877515
title: Future Mutation Predictions relative to XFG SARS-CoV-2 Variant
DOI: 10.5281/zenodo.17877516
title: Future Mutation Predictions relative to XFG SARS-CoV-2 Variant
DOI: 10.5281/zenodo.17868507
title: Supporting Data for "Geminids are initially cracked by atmospheric thermal stress"

description: The catalogue consists of two parts. The first part contains the global physical classification (PE, Pf, and KB criteria) for each modeled Geminid in a single file (geminids.dat). The second part consists of individual files for each Geminid, located in a directory called data and listed in a file called gem_data.dat. Two or three files containing a meteor code in their names provide light curves (*.lc, magnitude as a function of time, length, and height), radiometric curves (*.rlc, magnitude as a function of time) for bolides and a few meteors, as well as dynamical data (*.inp, time-length-height data points). In geminids.dat, the '-' character implies a non-existent value. In radiometric curves, the value of e_mag=99.99 indicates that the error was not calculated for this data point. Empty lines in RLC, LC, and INP files separate measurements from different stations. Each data file contains a single-line header starting with '#' character with the name of each column.

The light curve data, radiometric data, and dynamics data contain the following quantities. Relative time is time measured from an arbitrary initial time instant common to all stations. The absolute brightness of a meteor is measured in magnitudes (calculated from the measured brightness and calibrated for a distance of 100 km from the station), and the magnitude error represents the uncertainty of the measured brightness. Length is the distance along the trajectory of a meteor measured from the meteor's beginning position measured typically from the closest station. The height is an altitude above ground level calculated using triangulation of the trajectory of a meteor observed from several stations. The length and height in INP files are measured values for the given time mark or video frame. These data were used for the modeling of the dynamics. The length and height in the LC file are smoothed values from a preliminary time-length fit (not considering fragmentation). These data are provided just for the purpose of plotting brightness as a function of length or height.

The dataset supplements the manuscript:

Henych, Tomáš; Borovička, Jiří; Čapek, David; Vojáček, Vlastimil; Spurný, Pavel; Koten, Pavel; Shrbený, Lukáš. Geminids are initially cracked by atmospheric thermal stress, Astronomy & Astrophysics, accepted for publication.
DOI: 10.5281/zenodo.17868508
title: Supporting Data for "Geminids are initially cracked by atmospheric thermal stress"

description: The catalogue consists of two parts. The first part contains the global physical classification (PE, Pf, and KB criteria) for each modeled Geminid in a single file (geminids.dat). The second part consists of individual files for each Geminid, located in a directory called data and listed in a file called gem_data.dat. Two or three files containing a meteor code in their names provide light curves (*.lc, magnitude as a function of time, length, and height), radiometric curves (*.rlc, magnitude as a function of time) for bolides and a few meteors, as well as dynamical data (*.inp, time-length-height data points). In geminids.dat, the '-' character implies a non-existent value. In radiometric curves, the value of e_mag=99.99 indicates that the error was not calculated for this data point. Empty lines in RLC, LC, and INP files separate measurements from different stations. Each data file contains a single-line header starting with '#' character with the name of each column.

The light curve data, radiometric data, and dynamics data contain the following quantities. Relative time is time measured from an arbitrary initial time instant common to all stations. The absolute brightness of a meteor is measured in magnitudes (calculated from the measured brightness and calibrated for a distance of 100 km from the station), and the magnitude error represents the uncertainty of the measured brightness. Length is the distance along the trajectory of a meteor measured from the meteor's beginning position measured typically from the closest station. The height is an altitude above ground level calculated using triangulation of the trajectory of a meteor observed from several stations. The length and height in INP files are measured values for the given time mark or video frame. These data were used for the modeling of the dynamics. The length and height in the LC file are smoothed values from a preliminary time-length fit (not considering fragmentation). These data are provided just for the purpose of plotting brightness as a function of length or height.

The dataset supplements the manuscript:

Henych, Tomáš; Borovička, Jiří; Čapek, David; Vojáček, Vlastimil; Spurný, Pavel; Koten, Pavel; Shrbený, Lukáš. Geminids are initially cracked by atmospheric thermal stress, Astronomy & Astrophysics, accepted for publication.
DOI: 10.15468/dl.dsfwka
title: Occurrence Download

description: A dataset containing 4523 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Canada",
 "TaxonKey is Robinia pseudoacacia"
 ]
}

 The dataset includes 4523 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044145-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ncgbuf
title: Occurrence Download

description: A dataset containing 390683 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey)) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey)) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey)) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey)) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey)) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey)) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.datasetkey = '50c9509d-22c7-4a22-a47d-8c48425ef4a7'
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND occurrence.specieskey IS NOT NULL
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey

 The dataset's 390683 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044122-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17877528
title: SEM Withered Plant (BSE Series) — Kikoh Matsuura (Art–Science Archive)

description: Parent (series) record for *SEM Withered Plant (BSE)* by Kikoh Matsuura.  This record serves as the hub for all child datasets in the series.

**Files included:**- A series overview (TXT) documenting scope, naming rules, citation style, and file policy- A machine-readable index (CSV) that will be updated to list child datasets (DOIs, imaging parameters, etc.)

Each child dataset contains raw, uncompressed BMP images (≈13 per set, number varies) acquired with a personally owned TECHNEX TinySEM M3-i using the BSE detector under high-vacuum conditions.  Child records provide detailed READMEs with exact parameters (accelerating voltage, working distance, vacuum, pixel size, field of view, frame time, coating).

This parent provides a stable concept DOI for the entire *SEM Withered Plant (BSE)* series.  Child datasets link back via *IsPartOf*, and this parent enumerates them via *HasPart*.  

*This series visualizes the hidden order and chance in withered plants through SEM-BSE, leaving a unique trace at the boundary between art and science.*
DOI: 10.57760/sciencedb.33196
title: Metatranscriptomics profiling reveals rodent- and shrew-borne viral diversity and evolutionary relationships in Guangzhou, China
title: Metatranscriptomics profiling reveals rodent- and shrew-borne viral diversity and evolutionary relationships in Guangzhou, China

description: The dataset includes the mitochondrial cytochrome b (mt-Cyt b) gene and metatranscriptomics virome of 208 rodents and shrews collected between June 2023 and December 2024 from four main urban areas and five non-main urban areas in Guangzhou. Individual libraries were constructed from mixed tissue samples (liver, spleen, lung, and kidney) of each animal. Metatranscriptomics sequencing revealed diverse viral communities, identifying 24 viral strains across eight mammalian-associated viral families. 
description: The dataset includes the mitochondrial cytochrome b (mt-Cyt b) gene and metatranscriptomics virome of 208 rodents and shrews collected between June 2023 and December 2024 from four main urban areas and five non-main urban areas in Guangzhou. Individual libraries were constructed from mixed tissue samples (liver, spleen, lung, and kidney) of each animal. Metatranscriptomics sequencing revealed diverse viral communities, identifying 24 viral strains across eight mammalian-associated viral families.
DOI: 10.5880/icdp.5054.004
title: Measurement of thermal properties of core samples from the COSC-1 borehole

description: The Collisional Orogeny in the Scandinavian Caledonides (COSC) drilling project focuses on understanding orogenic processes in western Scandinavia (Lorenz et al., 2015). The project presents an opportunity to study how heat transport affects brittle and ductile deformation in the lithosphere. Here, we present results of measurements with an optical scanning instrument (Thermal Conductivity Scanner; TCS) on about 100 core samples retrieved from the borehole COSC-1. Details about the measurement procedures are given in the following sections. 
 
For a list of core sample IDs that are assigned with International Generic Sample Numbers (IGSN, see Conze et al., 2017), please see the associated data description file. The sample IDs give the identifier of the borehole (5054_1_a) and then core# and section# (e.g., 5054_1_A_7_1_WR_4-24, where core# is 7 and section# is 1). Further information (e.g., elevation, depth, sample photos, etc.) about each sample can be found on the GFZ Data Services repository. Individual sample pages can be accessed directly using the IGSN, for example: https://igsn.org/ICDP5054EX71601 (or via the links in the Related Works section of this DOI landing page). 
 
The TCS measurements were made at the Fraunhofer Institute, Bochum, formerly known as the International Geothermal Centre, Bochum, on a Lippmann Geophysical Instruments TCSCAN, hardware version 2 (https://www.l-gm.de/en/en_tcs.html). The procedure used for the measurements is described in the user manual, which can be found at https://www.tcscan.de.
DOI: 10.5880/gfz.4.4.2024.003
title: A long-term consistent synthetic weather data for historical and future periods in Germany

description: This dataset comprises synthetic weather data generated for historical (“control” present, 1985-2014) and two future periods (near future: 2031-2060 (period1) and far future: 2071-2100 (period2)) across a domain encompassing Germany and its neighboring riparian countries. The dataset was produced through the following key steps: 
 
(1) Classifying Weather Circulation Patterns for the Observed/Present Period: Weather circulation patterns (CPs) were classified for a European domain (35°N – 70°N, 15°W – 30°E), and regional average temperatures at 2 m height (t2m) were calculated for the German domain (45.125°N – 55.125°N, 5.125°E – 19.125°E). This classification used mean sea level pressure (psl) and mean temperature (tas) data from the ERA5 dataset provided by the European Centre for Medium-Range Weather Forecasts (ECMWF) (Hersbach et al., 2020). 
 
(2) Training Non-Stationary Climate-Informed Weather Generator (nsRWG): The nsRWG (Nguyen et al., 2024), conditioned on the classified CPs and using tas as a covariate, was set up and trained for the German domain using the E-OBS dataset, version 25.0e (Cornes et al., 2018). This training dataset includes 540 grid cells of mean daily temperature and precipitation totals for the period 1950–2021, with a spatial resolution of 0.5° x 0.5°. 
 
(3) Generating Data for the Present Period: Long-term synthetic data for the present period is generated using the trained nsRWG. 
 
(4) Assigning Circulation Patterns for Future Periods: The classified CPs from the present period were assumed to remain stable in the future. These CPs were assigned to future periods based on mean sea level pressure data from nine selected general circulation models (GCMs) from CMIP6 (Eyring et al., 2020) for the two future periods and two shared socio-economic pathways: SSP245 and SSP585 (IPCC, 2023). In total, CPs were derived for 36 scenarios, and regional average temperatures were also computed. 
 
(5) Downscaling Data for Future Scenarios: The nsRWG was used to statistically downscale long-term synthetic weather data for all 36 future scenarios. 
 
(6) Final dataset: The dataset includes synthetic weather data generated for the present period (Step 3) and future scenarios (Step 5). 
This dataset is expected to offer a key benefit for hydrological impact studies by providing long-term (thousands of years) consistent synthetic weather data, which is indispensable for the robust estimation of probability changes of hydrologic extremes such as floods.
DOI: 10.5880/wsm.india2024
title: Stress Map of India 2024

description: Knowledge of the present-day crustal stress field is a key for the understanding of geodynamic processes such as global plate tectonics and earthquakes. It is also essential for the management of geo-reservoirs and underground storage sites. Since 1986, the World Stress Map (WSM) project has systematically compiled the orientation of maximum horizontal stress (SHmax). It is a collaborative project between academia and industry that aims to characterize the stress pattern and to understand the stress sources and it is maintained at the German Research Centre for Geosciences GFZ. All stress information is analysed and compiled in a standardized format and quality-ranked for reliability and global comparability. Further information on the WSM project are provided at http://www.world-stress-map.org. The displayed data is a new compilation and all data records have been checked. 
 
The total number of data records increased from 1406 in the WSM 2016 to 2388 in this release. The digital version of the stress map is a layered pdf where also the mean SHmax orientation on a 1° grid is provided. It is estimated with the script stress2grid (Ziegler and Heidbach, 2019) using search radii of 100 und 200 km, respectively. The mean SHmax orientation is only estimated when n &gt; 5 data records are located within the search radius.
description: The World Stress Map (WSM) is a global compilation of information on the crustal present-day stress field. It is a collaborative project between academia and industry that aims to characterize the stress pattern and to understand the stress sources. It commenced in 1986 as a project of the International Lithosphere Program under the leadership of Mary-Lou Zoback. From 1995-2008 it was a project of the Heidelberg Academy of Sciences and Humanities headed first by Karl Fuchs and then by Friedemann Wenzel. Since 2009 the WSM is maintained at the GFZ German Research Centre for Geosciences and since 2012 the WSM is a member of the ICSU World Data System. All stress information is analysed and compiled in a standardized format and quality-ranked for reliability and comparability on a global scale.
DOI: 10.5880/digis.2024.004
title: Titanium stable isotope and major and trace element compositions of Archean and Paleoproterozoic sanukitoids and Paleozoic high Ba-Sr granite suites

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, https://doi.org/10.26022/IEDA/112263) that fall within the scope of the GEOROC database (https://georoc.eu). 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 (https://digis.geo.uni-goettingen.de) and the GFZ German Research Centre for Geosciences.
description: We report the titanium (Ti) stable isotope compositions (δ⁴⁹Ti) of Archean and Paleoproterozoic sanukitoids covering a range of ages and locations – the 2950 Ma high-Mg diorite suite from the Pilbara Craton, the ~2670 Ma Black Flag Group from the Yilgarn Craton, the ~2130 Ma Alto Maranhão suite from the São Francisco Craton, and two ~2115 Ma sanukitoids from the São Francisco Paleocontinent. Additionally, we report the Ti isotope compositions of 3421 Ma “sanukitoid-like” rocks from the Pilbara Craton, and of Paleozoic high Ba-Sr granite suites from the Northern Highlands Terrane, Scotland, which are proposed to be Phanerozoic sanukitoid analogues. These were measured using multicollector inductively coupled plasma mass spectrometry (MC-ICP-MS) at the Cardiff Earth Laboratory for Trace Element and Isotope Chemistry (CELTIC), Cardiff University. The Ti isotope compositions of these samples (file: 2024-004_Spencer-et-al_Ti-Isotope-Data.xlsx) are presented alongside a compilation of their previously published major and trace element concentrations (file: 2024-004_Spencer-et-al_Compiled-Isotope-Major-Trace-Element-Data.xlsx). Primitive (pre-Fe-Ti oxide saturation) samples have δ⁴⁹Ti values 0.1-0.2‰ heavier than modern arc basalts, the depleted mantle and the bulk silicate Earth. More evolved, post-oxide saturation samples show increasing δ⁴⁹Ti with SiO₂ content. These data are used to investigate the formation and differentiation of sanukitoid magmas.
DOI: 10.5880/gfz.4.3.2024.002
title: Sedimentological, geochemical and biological data of sediment cores from lake Tiefer (NE Germany)

description: The depletion of dissolved oxygen in lakes (hypoxia) is an ongoing phenomenon that put under risk ecological systems and impact sedimentary environments. This phenomenon is driven by the increasing anthropogenic pressure on such environments. This dataset contains high-resolution sedimentological, geochemical and biological depth series of selected short sediment cores from lake Tiefer See (NE Germany). Those cores cover the recent transition from homogeneous to laminated sediments (~100 years ago), a transition that reflect the onset of hypoxic conditions in the lake. The cores were taken from different locations and water depths across the lake and allow to trace the spatiotemporal evolution of hypoxia spread in the lake.