cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5880/gfz.4.3.2023.004
title: A database of the elemental and isotopic composition of water and carbonates from a hypersaline Andean lake (Laguna del Peinado, Argentina)

description: The dataset presented here encompasses the results of the geochemical analyses of water and recent carbonate samples collected in the El Peinado basin located in the Southern Puna Plateau in Catamarca, Argentina. This system formed by the hypersaline lake Laguna del Peinado, numerous hydrothermal springs, and the small hypersaline lake Laguna Turquesa, provides a natural laboratory to study carbonate formation and the mechanisms that control the incorporation of various elements and isotopes into their structure under a broad range of geochemical conditions. Geochemical analyses include data on the physicochemical parameters, elemental, and isotopic (δ18O, δ2H, δ11B) composition of the waters, and data on the elemental and isotopic (δ18O, δ13C, δ11B) composition of the carbonates. These data allowed us to calculate element partition coefficients and isotopic fractionation between coupled water-carbonate samples from this natural setting, which are also included here. This dataset also includes the results of water modelling using the software PHREEQC, which contains data on the chemical speciation of carbon and boron, the species contributing to total alkalinity, and mineral saturation indices. This information is useful for all those dealing with geochemistry of hypersaline lakes, geochemistry of continental carbonates, as well as paleoenvironmental and paleoclimatic studies using lake carbonates as archives. These data correspond to the research article “On the origin and processes controlling the elemental and isotopic composition of carbonates in hypersaline Andean lakes”. The full description of the data is provided in the data description file.
description: Sampling method 
 
During fieldwork in January 2019, November 2019 and February 2021 (austral spring-summer), water samples were collected for isotopic and elemental analyses from the main water body Laguna del Peinado, the smaller Laguna Turquesa, the inflowing hydrothermal springs, and the wetlands. Rainwater was sampled in the nearest town, Antofagasta de la Sierra (3320 m a.s.l.) approximately 80 km to the NE and snow was collected at nearly 5000 m a.s.l., 17 km SE of the lake. For elemental analyses, water samples were filtered and an aliquot was acidified for metals determinations. 
 
Short sediment cores (&lt; 1 m) were recovered from Laguna del Peinado using a raft equipped with an Uwitec coring device. Carbonate and surface sediment samples were collected from the lakes, hot springs, and catchment area, packed in polyethylene vials and plastic bags, and stored at 4°C.
DOI: 10.5880/pik.2023.001
title: BASD-CMIP6-PE: bias-adjusted and statistically downscaled CMIP6 projections over Peru and Ecuador

description: The new climate dataset BASD-CMIP6-PE for Peru and Ecuador based on the bias-adjusted and statistically downscaled CMIP6 projections of 10 GCMs addresses the need for reliable high-resolution (1d, 10km) climate data covering Peru and Ecuador. This dataset includes both historical simulations (1850-2014) and future projections (2015-2100) for precipitation and minimum, mean, and maximum temperature under three Shared Socioeconomic Pathways (SSPs; SSP1-2.6, SSP3-7.0, and SSP5-8.5). The BASD-CMIP6-PE climate data were generated using the trend-preserving Bias Adjustment and Statistical Downscaling (BASD) method (Lange, 2019, 2021) and data from regional observational datasets such as RAIN4PE (Fernandez-Palomino et al., 2021a, b) for precipitation and PISCO-temperature (Huerta et al., 2018) for temperatures as reference data. The Reliability of the BASD-CMIP6-PE was evaluated through hydrological modeling across Peruvian and Ecuadorian river basins in the historical period. The evaluation showed that the BASD-CMIP6-PE is reliable for describing the spatial patterns of atmospheric variables and streamflow simulation, including low and high flows. This suggests the usefulness of the new dataset for climate change impact assessment studies in Peru and Ecuador. The BASD-CMIP6-PE data are available for the domain covering Peru and Ecuador, located between 19°S and 2°N and 82-67°W, at 0.1° spatial and daily temporal resolution. The precipitation unit is mm, and the temperature is in °C. The data are in the NetCDF format and arranged by model, model member, experiment, variable, temporal resolution, and subset period (e.g., canesm5_r1i1p1f1_ssp126_pr_daily_2015_2020.nc).
DOI: 10.5880/gfz.2.5.2023.003
title: Overviews and videos of top view imagery, topography data and DIC analysis results from analogue models of basin inversion

description: This data set includes videos depicting the surface evolution (time-lapse photography, topography data and Digital Image Correlation [DIC] analysis) of 11 analogue models, divided in three model series (A, B and C), simulating rifting and subsequent inversion tectonics. In these models we test how orthogonal or oblique extension, followed by either orthogonal or oblique compression, as well as syn-rift sedimentation, influenced the reactivation of rift structures and the development of new inversion structures. We compare these models with an intracontinental inverted basin in NE Brazil (Araripe Basin). All experiments were performed at the Tectonic Modelling Laboratory of the University of Bern (UB). We used an experimental set-up involving two long mobile sidewalls, two rubber sidewalls (fixed between the mobile walls, closing the short model ends), and a mobile and a fixed base plate. We positioned a 5 cm high block consisting of an intercalation of foam (1 cm thick) and Plexiglas (0.5 cm thick) bars on the top of the base plates. Then we added layers of viscous and brittle analogue materials representing the ductile and brittle lower and upper crust in our experiments, which were 3 cm and 6 cm thick, respectively. A seed made of the same viscous material was positioned at the base of the brittle layer, in order to localize the formation of an initial graben in our models. The standard model deformation rate was 20 mm/h, over a duration of 2 hours for a total of 40 mm of divergence, followed by 2 hours of convergence at the same rate (except for Models B3 and C3, since the oblique rifting did not create space for 40 mm of orthogonal inversion). For syn-rift sedimentation, we applied an intercalation of feldspar and quartz sand in the graben. Model parameters and detailed description of model set-up are summarized in Table 1, and results and their interpretation can be found in Richetti et al. (2023).
DOI: 10.5880/gfz.1.3.2020.005
title: Predicted relative sea-level and sea-level data for validation

description: We provide the model results of the manuscript "Glacial-isostatic adjustment models using geodynamically constrained 3D Earth structures" (Bagge et al. 2020, Paper) including the (1) predicted relative sea-level and (2) applied sea-level data. The predicted relative-sea level is calculated with the VIscoelastic Lithosphere and MAntle model VILMA (Klemann et al. 2008, 2015, Martinec et al. 2018, Hagedoorn et al. 2007, Martinec & Hagedoorn 2005, Kendall et al. 2005). The glacial-isostatic adjustment models uses different Earth structures (3D, 1D global mean and 1D regionally adapted; Bagge et al. 2020, Paper; Bagge et al. 2020, https://doi.org/10.5880/GFZ.1.3.2020.004) and ice histories (ICE-5G, Peltier 2004; ICE-6G, Peltier et al. 2015, Argus et al. 2014; NAICE, Gowan et al. 2016) resulting in 44 3D models, 54 1D global mean models and 162 1D regionally adapted models. For more information on model description and input data see Bagge et al. (2020, Paper) and Bagge at al. (2020, https://doi.org/10.5880/GFZ.1.3.2020.004). The provided output data include (1a) the global distribution of predicted relative-sea level at 14 kilo years before present as ensemble range of the 3D GIA models for three ice histories as netCDF files, (1b) the predicted relative-sea level at eight locations at 14 kilo years before present for all models as ASCII file and (1c) the predicted relative sea-level for the deglaciation period for all models as ASCII files. Eight locations include Churchill, Angermanland, Ross Sea (Antarctica), San Jorge Gulf (Patagonia), Central Oregon Coast, Rao-Gandon Area (Senegal), Singapore and Pioneer Bay (Queensland, Australia). (2) The about 520 applied sea-level data provide information on time, relative sea-level and type of sea-level data. They are extracted for the eight locations from the GFZ database using SLIVisu (Unger et al. 2012, 2018) and provided as ACSII files.
DOI: 10.5880/gfz.3.3.2021.007
title: Sample and Modelling Data for Cosmogenic 10Be in Medial Moraine Debris of Glacier d’Otemma, Switzerland

description: This data publication is supplementary to the study on headwall erosion rates at Glacier d'Otemma in Switzerland, by Wetterauer et al. (2022). Debris on glacier surfaces stems from steep bedrock hillslopes that tower above the ice, so-called headwalls. Recently, rock walls in high-alpine glacial environments experience increased destabilization due to climate warming. Since supraglacial debris alters the melt behaviour of the ice underneath, increased headwall erosion and debris delivery to glacier surfaces will modify glacial mass balances. Therefore, we expect that the response of glaciers to climate change is likely linked to how headwall erosion responds to climate change. As headwall debris is deposited on the ice surface of valley glaciers it is passively transported downglacier, both supra- and englacially. Where two glaciers join, debris along their margins is merged to form medial moraines. Since medial moraine debris tends to be older downglacier, systematic downglacier-sampling of medial moraine debris and the measurement of in situ-produced cosmogenic 10Be concentrations ([10Be]) hold the potential to assess long-term (&gt;10^2-10^4 yrs) headwall erosion rates through time. However, to obtain the cosmogenic signals of headwall erosion, [10Be] within supraglacial debris need to be corrected for glacial transport time, as cosmogenic nuclides continue to accumulate during exposure and transport. This additional 10Be accumulation during debris transport can be accounted for by simple downglacier debris trajectory modelling. Providing our 10Be dataset together with detailed information on our 1-D modelling approach is the main objective of this data publication. The data is presented as one single xlsx-file with three different tables. A detailed description of the sample processing and the debris trajectory model are provided in the data description file of this data publication. For more information see our study Wetterauer et al. (2022).
description: The data were collected as part of the project “COLD”, which investigates the Climate Sensitivity of Glacial Landscape Dynamics with a focus on the European Alps. This research receives funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program under grant agreement 759639.
DOI: 10.5880/gfz.3.3.2023.002
title: Medial moraine cosmogenic 10Be data and glacier surface velocities from four Swiss valley glaciers around Pigne d’Arolla

description: At valley glaciers, rockwall erosion supplies debris to glacier surfaces. Once deposited on the ice, rockwall debris is passively entrained and becomes part of the glacial system, e.g., forming medial moraines as downglacier transport continues. Where debris occurs supraglacial, it modifies ice ablation and, thus, changes in rockwall erosion and debris supply rates modify glacial debris cover and mass balance and may affect glacier retreat in response to climate change. Yet, estimates on rockwall erosion rates close to glacier surfaces are few and quantifying spatiotemporal supply patterns is not trivial. 
 
This data publication is supplementary to the study on rockwall erosion rates at five Swiss valley glaciers around Pigne d’Arolla, by Wetterauer & Scherler (2023). We temporally and spatially assess rockwall erosion by measuring in situ-produced cosmogenic 10Be concentrations ('[10Be]measured') in medial moraine debris, which we systematically sampled along downglacier-profiles, and by comparing records from various medial moraines, which are supplied by rockwalls differing in exposure and morphology. However, as '[10Be]measured' within supraglacial debris is the sum of '[10Be]rockwall', accumulated during rockwall erosion, and '[10Be]transport', accumulated during post-depositional downglacier transport, medial moraine '[10Be]measured' should be corrected for '[10Be]transport'. If glacier velocities through time are known, '[10Be]transport' can be estimated by downglacier debris trajectory modelling. Providing our 10Be dataset and ~40-year records of glacier surface velocities from four of the five valley glaciers (Glacier du Brenay, Glacier de Cheilon, Glacier de Pièce, Glacier de Tsijiore Nouve) is the main objective of this data publication. The dataset of the fifth glacier (Glacier d’Otemma) has already been published as case study by Wetterauer et al. (2022a,b).
description: The data were collected as part of the project “COLD”, which investigates the Climate Sensitivity of Glacial Landscape Dynamics with a focus on the European Alps. This research receives funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program under grant agreement 759639.
DOI: 10.5281/zenodo.17877331
title: مزایای دیدگاه حجمی در تعریف جرم و مومنتوم در چارچوب     گذار از مدل ذره محور به مدل حجمی مقاوم CRVD

description: دیدگاه حجمی مقاوم یک پارادایم قدرتمند برای فهم مکانیک بنیادی است. با تعریف 

جرم به عنوان چگالی فشردگی فضا و مومنتوم به عنوان بیانگر تغییرات ساختاری فضا، CRVD

امکان ایجاد یک نظریٔه یکپارچه را فراهم میآورد که در آن نیرو، انرژی، جرم و مومنتوم همگی از

پویایی ذاتی هندسٔه فضا-زمان نشأت میگیرند، نه اینکه مفاهیم جداگانهای باشند که به اجسام

نسبت داده شده اند. این گذار از تحلیل شیءمحور به تحلیل فرآیند-محور، افقهای جدیدی را در 

فیزیک نظری میگشاید
DOI: 10.5880/gfz.4.1.2019.009
title: Catalogue of Hypocenters for the 2014 M8.1 Iquique Earthquake Sequence, recorded by IPOC (plus additional) seismic stations

description: The present dataset is a high-resolution earthquake catalog for the region of the 2014 M8.1 Iquique earthquake sequence, in the Northern Chile subduction zone. Events in the catalog were obtained processing seismic waveforms from &gt;100 permanent and temporary seismic stations. The list of waveform data sources used, the multistage automatic earthquake detection and location procedure implemented to build the catalog, as well as the patterns outlined by the seismicity are described in Soto et al. (2019). The dataset file contains information of hypocenters (one event per line), structured in a format with the following columns: # year, month, day, hour, minute, second (UTC), longitude [dec. degrees], latitude [dec. degrees], depth [km], magnitude [ML] Seismic waveform data were taken from networks CX (GFZ and CNRS-INSU, 2006), IQ (Cesca et al., 2018), 3D (Asch et al., 2014) and GE (GEOFON, 1993) accessed via EIDA webservices (e.g., https://geofon.gfz-potsdam.de/), as well as from Chilean Seismological Network (C, C1) stations (Barrientos et al., 2018) accessed via IRIS webservices (http://ds.iris.edu/SeismiQuery/). Additional waveform data were used from the MEJIPE temporary network deployed by FU Berlin (Salazar et al., 2013) accessed via EIDA webservices as well as from a temporary network deployed by the Chilean ONEMI, DGF and CSN institutions accessed from CSN upon request.
DOI: 10.5281/zenodo.17877330
title: مزایای دیدگاه حجمی در تعریف جرم و مومنتوم در چارچوب     گذار از مدل ذره محور به مدل حجمی مقاوم CRVD

description: دیدگاه حجمی مقاوم یک پارادایم قدرتمند برای فهم مکانیک بنیادی است. با تعریف 

جرم به عنوان چگالی فشردگی فضا و مومنتوم به عنوان بیانگر تغییرات ساختاری فضا، CRVD

امکان ایجاد یک نظریٔه یکپارچه را فراهم میآورد که در آن نیرو، انرژی، جرم و مومنتوم همگی از

پویایی ذاتی هندسٔه فضا-زمان نشأت میگیرند، نه اینکه مفاهیم جداگانهای باشند که به اجسام

نسبت داده شده اند. این گذار از تحلیل شیءمحور به تحلیل فرآیند-محور، افقهای جدیدی را در 

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DOI: 10.15468/dl.xkfyht
title: Occurrence Download

description: A dataset containing 325 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anoplophora glabripennis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is not null",
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 325 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044114-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5880/gfz.2.3.2023.001
title: GRACE-FO ML-calibrated magnetic field data

description: The Gravity Recovery and Climate Experiment-Follow-On (GRACE-FO) satellite mission, consisting of two satellites, each carry a magnetometer as part of its attitude orbit control system (AOCS). After careful calibration, the data acquired through them can be used for scientific purposes by removing artificial disturbances from other satellite payload systems. This dataset is based on the dataset provided by Michaelis et al. (2021, https://doi.org/10.5880/GFZ.2.3.2021.002) and uses a similar format. The platform magnetometer data has been calibrated against CHAOS-7 magnetic field model predictions for core, crustal and large-scale magnetospheric field (Finlay et al., 2020, https://doi.org/10.1186/s40623-020-01252-9) and is provided in the ‘chaos’ folder. The calibration results using a Machine Learning approach are provided in the ‘calcorr’ folder. Michaelis’ dataset can be used as an extension to this dataset for additional information, as they are connected using the same timestamps to match and relate the same data points. The exact approach based on Machine Learning is described in the referenced publication. Additionally, in the folder ‚fac’, field-aligned current derived from the magnetic field data are provided. 
 
There exists a similar dataset with calibrated magnetic data from the GOCE satellite mission under https://doi.org/10.5880/GFZ.2.3.2022.002 (Styp-Rekowski et al., 2022).
DOI: 10.5880/gfz.2.3.2022.002
title: GOCE ML-calibrated magnetic field data

description: The Gravity field and steady-state ocean circulation explorer (GOCE) satellite mission carries three platform magnetometers. After careful calibration, the data acquired through these can be used for scientific purposes by removing artificial disturbances from other satellite payload systems. This dataset is based on the dataset provided by Michaelis and Korte (2022) and uses a similar format. The platform magnetometer data has been calibrated against CHAOS7 magnetic field model predic-tions for core, crustal and large-scale magnetospheric field (Finlay et al., 2020) and is provided in the ‘chaos’ folder. The calibration results using a Machine Learning approach are provided in the ‘calcorr’ folder. Michaelis’ dataset can be used as an extension to this dataset for additional infor-mation, as they are connected using the same timestamps to match and relate the same data points. The exact approach based on Machine Learning is described in the referenced publication. The data is provided in NASA CDF format (https://cdf.gsfc.nasa.gov/) and accessible at: ftp://isdcftp.gfz-potsdam.de/platmag/MAGNETIC_FIELD/GOCE/ML/v0204/ and further de-scribed in a README.
description: The data was recorded onboard the GOCE satellite mission with varying time intervals of the differ-ent subsystems measuring. The magnetometer measurements (16s intervals) were aligned to match the closest position measurement (1s intervals) and interpolated accordingly. All other avail-able data of different intervals was interpolated and aligned to the same timestamps. The data was calibrated using a Machine Learning approach involving Neural Networks, the whole method of calibration is described precisely in the referenced publication. The data was mainly processed for its calibration which yields a lower residual compared to a refer-ence model than the uncalibrated data, more details about the many steps involved can be found in the referenced publication.
DOI: 10.5880/igets.pe.l2.001
title: Superconducting Gravimeter Data from Pecný - Level 2 pre-processed by station operators

description: The International Geodynamics and Earth Tide Service (IGETS) was established in 2015 by the International Association of Geodesy (IAG). IGETS continues the activities of the Global Geodynamics Project (GGP, 1997-2015) to provide support to geodetic and geophysical research activities using superconducting gravimeter (SG) data within the context of an international network. 
 
Raw gravity and local atmospheric pressure records sampled at second and the same records decimated at 1‐minute samples are provided as Level 1 products of the IGETS network for the Pecný station (https://doi.org/10.5880/igets.pe.l1.001). The corrected 1-minute samples have been prepared by operators of the station, from raw decimated 1-minute samples, by following steps: 1) The 1-minute samples have been used to compute residual gravity signal by using the SG calibration factor and applying corrections from tides, atmosphere and polar motion. 2) These data have been associated with auxiliary data from the SG (Dewar Pressure, Tx/Ty balance, Neck temperature etc.) and information from LOG files. 3) Gaps have been created in the residual gravity signal according to auxiliary data and log files. Moreover, gaps were created also for large disturbances, where the residual signal exceeding 20 nm/s^2. 4) Gaps up to 24 hours were filled by a linear fit. 5) Spikes exceeding 5 nm/s^2 were removed by using TSOFT. 6) Steps were applied only in exceptional cases in accordance with LOG files. 7) The cleaned residual signal was converted to corrected 1-minute samples by using the same corrections and the calibration factor as used in 1). Therefore, the corrected 1-minute signal is again in units as the raw data (Volt). Note, since 31 October 2017, the OSG-050 is running at new site (NGL - new gravimetric laboratory at Pecný) according to https://doi.org/10.5880/igets.pe.l1.001.
DOI: 10.5880/fidgeo.2022.043
title: A database of centrifuge analogue models testing the influence of inherited brittle fabrics on continental rifting

description: This dataset presents the raw data of an experimental series of analogue models performed to investigate the influence of inherited brittle fabrics on narrow continental rifting. This model series was performed to test the influence of brittle pre-existing fabrics on the rifting deformation by cutting the brittle layer at different orientations with respect to the extension direction. An overview of the experimental series is shown in Table 1. In this dataset we provide four different types of data, that can serve as supporting material and for further analysis: 1) The top-view photos, taken at different steps and showing the deformation process of each model; they can be used to interpret the geometrical characteristics of rift-related faults; 2) Digital Elevation Models (DEMs) used to reconstruct the 3D deformation of the performed analogue models, allowing for quantitative analysis of the fault pattern. 3) Short movies built from top-view photos which help to visualize the evolution of model deformation; 4) line-drawing of fault and fracture patters to be used for fault statistical quantification. Further details on the modelling strategy and setup can be found in Corti (2012), Maestrelli et al. (2020), Molnar et al. (2020), Philippon et al. (2015), Zwaan et al. (2021) and in the publication associated with this dataset. Materials used for these analogue models were described in Montanari et al. (2017) Del Ventisette et al. (2019) and Zwaan et al. (2020).