cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5880/gfz.1.2.2018.003
title: GFZ VER13 SLCCI precise orbits of altimetry satellites ERS-1, ERS-2, Envisat, TOPEX/Poseidon, Jason-1, and Jason-2 in the ITRF2014 reference frame

description: The data set provides GFZ VER13 orbits of altimetry satellites:
      ERS-1 (August 1, 1991 - July 5, 1996),ERS-2 (May 13, 1995 - February 27, 2006),Envisat (April 12, 2002 - April 8, 2012),TOPEX/Poseidon (September 23, 1992 - October 8, 2005),Jason-1 (January 13, 2002 - July 5, 2013) andJason-2 (July 5, 2008 - April 5, 2015)
      derived at the time spans given at the GFZ German Research Centre for Geosciences (Potsdam, Germany) within the Sea Level phase 2 project of the European Space Agency (ESA) Climate Change Initiative using "Earth Parameter and Orbit System - Orbit Computation (EPOS-OC)" software (Zhu et al., 2004) and the Altimeter Database and processing System (ADS, http://adsc.gfz-potsdam.de/ads/) developed at GFZ. The orbits were computed in the ITRF2014 terrestrial reference frame for all satellites using common, most precise models and standards available and described below.
      The ERS-1 orbit is computed using satellite laser ranging (SLR) and altimeter crossover data, while the ERS-2 orbit is derived using additionally Precise Range And Range-rate Equipment (PRARE) measurements. The Envisat, TOPEX/Poseidon, Jason-1, and Jason-2 orbits are based on Doppler Orbitography and Radiopositioning Integrated by Satellite (DORIS) and SLR observations. For Envisat, altimeter crossover data were used additionally at 44 of 764 orbital arcs with gaps in SLR and DORIS data.
      The orbit files are available in the Extended Standard Product 3 Orbit Format (SP3-c). Files are gzip-compressed. File names are given as sate_YYYYMMDD_SP3C.gz, where "sate" is the abbreviation (ENVI, ERS1, ERS2, JAS1, JAS2, TOPX) of the satellite name, YYYY stands for 4-digit year, MM for month and DD for day of the beginning of the file. More details on these orbits are provided in Rudenko et al. (2018) to which these orbits are supplementary material.
DOI: 10.5880/fidgeo.2022.002
title: (LiDAR) 3D Point Clouds and Topographic Data from the Chilean Coastal Cordillera

description: The DFG Priority Program 1803 “EarthShape” (www.earthshape.net) investigates Earth surface shaping by biota. As part of this project, we present Light Detection and Ranging (LiDAR) data of land surface areas for the four core research sites of the project. The research sites are located along a latitudinal gradient between ~26 °S and ~38 °S in the Chilean Coastal Cordillera. From north to south, the names of these sites are: National Park Pan de Azúcar; Private Reserve Santa Gracia; National Park La Campana; and National Park Nahuelbuta. The three datasets contain raw 3D point cloud data captured from an airborne LiDAR system, and the following derivative products: a) digital terrain models (DTM, sometimes also referred to as DEM [digital elevation model]) which are (2.5D) raster datasets created by rendering only the LiDAR returns which are assumed to be ground/bare-earth returns and b) digital surface models (DSM) which are also 2.5D raster datasets produced by rendering all the returns from the top of the Earth’s surface, including all objects and structures (e.g. buildings and vegetation). The LiDAR data were acquired in 2008 (southernmost Nahuelbuta [NAB] catchment), 2016 (central La Campana [LC] catchment) and 2020 (central Santa Gracia [SGA] catchment). Except for Nahuelbuta (data already was available from the data provider from a previous project), the flights were carried out as part of the "EarthShape" project. The LiDAR raw data (point cloud/ *.las files) were compressed, merged (as *.laz files) and projected using UTM 19 S (UTM 18 S for the southernmost Nahuelbuta catchment, respectively) and WGS84 as coordinate reference system. A complementary fourth dataset for the northernmost site in the National Park Pan de Azúcar, derived from Uncrewed Aerial Vehicle (UAV) flights and Structure from Motion (SfM) photogrammetry, is expected to be obtained during the first half of 2022 and will be added to the above data set.
description: The DFG Priority Program 1803 "EarthShape - Earth Surface Shaping by Biota" (2016-2022) explored between scientific disciplines and includes geoscientists and biologists to study from different viewpoints the complex question how microorganisms, animals, and plants influence the shape and development of the Earth’s surface over time scales from the present-day to the young geologic past. All study sites are located in the north-to-south trending Coastal Cordillera mountains of Chile, South America. These sites span from the Atacama Desert in the north to the Araucaria forests approximately 1300 km to the south. The site selection contains a large ecological and climate gradient ranging from very dry to humid climate conditions. For more information visit: www.earthshape.net
DOI: 10.5880/pik.2021.002
title: Model output for aerosol-induced cooling after the Chicxulub impact

description: The simulations of the end‐Cretaceous climate and the effects of the impact are carried out with a coupled climate model consisting of a modified version of the ocean general circulation model MOM3, a dynamic/thermodynamic sea ice model, and a fast statistical‐dynamical atmosphere model. Our impact simulations are based on a climate simulation of the end‐Cretaceous climate state using a Maastrichtian (70 Ma) continental configuration. The solar constant is scaled to 1354 W/m2, based on the present‐day solar constant of 1361 W/m2 and a standard solar model. A baseline simulation with 500 ppm of atmospheric CO2 and a sensitivity experiment at 1000 ppm CO2 concentration. The impact is assumed to release 100 Gt sulfur and 1400 Gt CO2. We simulate stratospheric residence times of 2.1 y, 4.3 y and 10.6 y. More information about the model can be found in the manuscript (https://doi.org/10.1002/2016GL072241).
description: The data is model output from the coupled ocean-atmosphere model CLIMBER3alpha which models climate globally on a 3.75°x3.75° (ocean) and 22.5° (longitude) x 7.5° (latitude) (atmosphere) grid.
DOI: 10.15468/dl.r5uqzd
title: Occurrence Download

description: A dataset containing 600241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-79.55872 9.137755, -79.56878 9.137755, -79.56766 9.129628, -79.57771 9.129628, -79.60788 9.129628, -79.60676 9.1215, -79.61682 9.1215, -79.6157 9.113373, -79.58553 9.113373, -79.58441 9.105246, -79.57436 9.105246, -79.57324 9.097119, -79.55313 9.097119, -79.55202 9.088992, -79.54196 9.088992, -79.54085 9.080865, -79.53079 9.080865, -79.52857 9.064612, -79.51851 9.064612, -79.51629 9.048359, -79.52635 9.048359, -79.52302 9.023979, -79.53308 9.023979, -79.53197 9.015853, -79.54203 9.015853, -79.53762 8.983348, -79.54767 8.983348, -79.54657 8.975222, -79.55662 8.975222, -79.56668 8.975222, -79.56558 8.967097, -79.57563 8.967097, -79.57344 8.950845, -79.55333 8.950845, -79.55223 8.942719, -79.52207 8.942719, -79.52427 8.958971, -79.51421 8.958971, -79.51531 8.967097, -79.50526 8.967097, -79.4952 8.967097, -79.4974 8.983348, -79.48735 8.983348, -79.48955 8.999601, -79.47949 8.999601, -79.4806 9.007727, -79.47054 9.007727, -79.46049 9.007727, -79.46159 9.015853, -79.45154 9.015853, -79.45264 9.023979, -79.44259 9.023979, -79.44369 9.032106, -79.42358 9.032106, -79.41353 9.032106, -79.41463 9.040232, -79.40458 9.040232, -79.39452 9.040232, -79.39674 9.056485, -79.38668 9.056485, -79.38779 9.064612, -79.37773 9.064612, -79.38107 9.088992, -79.39112 9.088992, -79.39446 9.113373, -79.41457 9.113373, -79.41346 9.105246, -79.42352 9.105246, -79.4224 9.097119, -79.44251 9.097119, -79.44363 9.105246, -79.45368 9.105246, -79.45257 9.097119, -79.46263 9.097119, -79.46151 9.088992, -79.48162 9.088992, -79.48274 9.097119, -79.49279 9.097119, -79.49391 9.105246, -79.50397 9.105246, -79.50508 9.113373, -79.51514 9.113373, -79.51737 9.129628, -79.52743 9.129628, -79.52967 9.145882, -79.55984 9.145882, -79.55872 9.137755))",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 600241 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044037-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5880/gfz.3.3.2020.002
title: Chemical and isotope data on the deep regolith’s source of mineral nutrients in mountainous temperate forest ecosystems

description: The data herein were used to trace the source and depth of nutrient uptake in two mountainous temperate forest ecosystems in southern Germany (Conventwald/Black Forest and Mitterfels/Bavarian Forest). Presented are phosphorus (P) concentrations from various P fractions of soil, saprolite, weathered bedrock and unweathered bedrock samples from drilling cores (depth: 20 m, site Conventwald (CON), and 30 m, site Mitterfels (MIT)) obtained by sequential extractions following the Hedley fractionation method. Further, the dataset contains strontium (Sr) and beryllium (Be) isotope data from drilling cores mentioned above. 87Sr/86Sr data are provided for bulk samples of forest floor, soil, saprolite, weathered bedrock, and unweathered bedrock. For soil and saprolite samples, additional Sr isotope ratios of the water-soluble and the exchangeable Sr fractions are provided. 87Sr/86Sr, beryllium concentrations (measured by Quadrupole-ICP-MS) and 10Be(meteoric)/9Be data from living leaves, needles, and stem wood (heartwood and sapwood of Fagus sylvatica and Picea abies) from both study sites are reported. Beryllium concentrations (measured by ICP-OES) and isotope ratios of amorphous oxides sequentially extracted from soil and saprolite at CON and MIT are provided. Soil pH at CON and MIT is also provided. Compiled concentrations of K, Ca, Mg and P and total deposition rates of atmospheric dust deposition are also included in the dataset. The data presented here stem from sampling campaigns and analyses described in Uhlig et al. (2020) to which they are supplementary material to. Samples were mainly processed in the Helmholtz Laboratory for the Geochemistry of the Earth Surface (HELGES), the University of Bonn (P Hedley fractionation) and the University of Cologne - Centre for Accelerator Mass Spectrometry (AMS) (10Be measurements). Tables supplementary to the article, including data quality control, are provided in pdf and xls formats. In addition, data measured in the course of the study are also provided as machine readable ASCII files. All samples are indexed with an International Geo Sample Number (IGSN). Sample metadata can be viewed by adding the IGSN to the “http://igsn.org/” URL (e.g. igsn.org/GFDUH00LT).
DOI: 10.5880/fidgeo.2021.041
title: Pictures, DEMs, and raw data relative to analogue accretionary wedges

description: This dataset includes raw data used in the paper by Reitano et al. (2022), focused on the effect of boundary conditions on the evolution of analogue accretionary wedges affected by both tectonics and surface processes; the paper also focuses on the balance between tectonics and surface processes as a function of the boundary conditions applied. These boundary conditions are convergence velocity and basal slope (i.e., the tilting toward the foreland imposed prior the experimental run). The experiments have been carried out at Laboratory of Experimental Tectonics (LET), University “Roma Tre” (Rome). Detailed descriptions of the experimental apparatus and experimental procedures implemented can be found in the paper to which this dataset refers. Here we present: • Pictures recording the evolution of the models. • GIFs showing time-lapses of models. • Raw DEMs of the models and Incision DEMs, used for extracting data later discusses in the paper.
description: We took digital images during the evolution of the experiments. These images are stored in the “2021-041_Reitano-et-al_Pictures_and_GIFs” folder. Digital Images The qualitative evolution of the analogue models has been recorded using a digital oblique-view camera (Canon EOS 200D). Digital pictures have not been modified with other imaging software. Data from models' surface Laser scan provides a point cloud, composed by x, y, z coordinated of the points composing the model surface (the number of points is function of the laser resolution). The laser scans are converted to raw DEMs, here stored in the “DEMs” folder. For making the file easily readable to GIS software, data are expressed in m (100 m = 1 mm, see scaling section in the main paper). Bottom left corner in the DEMs is randomly chosen to be -70 ∙ 103 m. No data values equal to -9999. Cell size is 100 m (1 mm in the models). Incision and Mass Balance The .txt files inside the “2021-041_Reitano-et-al_DEMs” folder named “CR****_dem**clip” has been used for producing Fig. 6, 8, 10, and S3 in Reitano et al. (2021). From these DEMs we calculated the Mass Balance, as described in the paper this repository refers to. The .txt files named “CR****_inc**ok” have been used for calculating the incision values shown in Fig. 5 and 7 in Reitano et al. (2021). To obtain incision maps and incision over time, the volume of material incised was computed by comparing the actual topography with the reconstructed non-eroded surface at every shortening step. The non-eroded surface has been calculated by creating an envelope surface using crest lines between valleys as constraints (the assumption is that crests do not erode). The results are then a minimum estimate of the amount of incision.
DOI: 10.5880/icgem.2014.001
title: Rock-Water-Ice topographic-isostatic gravity field model 2012 (RWI 2012 model)

description: High-resolution spherical harmonic representation of the Earth's topographic, isostatic, and topographic-isostatic gravitational potential based on a three-layer decomposition of the topography with variable density values and a modified Airy-Heiskanen concept incorporating seismic Moho depths. Main features: - Three-layer decomposition of the topography using information of the 5'x5'global topographic database DTM2006.0 - Rigorous separate modeling of rock, water, and ice masses with layer-specific density values (2670, 1000, 920 kg m-3) - Avoidance of geometry changes compared to classical condensation methods (e.g. rock-equivalent heights) - Ellipsoidal arrangement of the topography using the GRS80 ellipsoid as reference surface - Adapted and modified Airy-Heiskanen isostatic concept - Incorporation of seismic Moho depths derived from CRUST2.0 - Location-dependent estimation of the crust-mantle density contrast Processing: - Forward modelling in the space domain using tesseroid mass bodies - Transformation of global gridded values to the frequency domain by applying harmonic analysis up to degree and order 1800 Model versions: - Spherical harmonic coefficients of the RWI model are provided by three versions (GM = 3.986004415e+14 m3 s-2, a = 6378136.3 m): RWI_TOPO_2012 (topographic potential) RWI_ISOS_2012 (isosatic potential) RWI_TOIS_2012 (topographic-isostatic potential) - To allow the evaluation of the RWI model by synthesis software that by default subtracts the coefficients of a normal gravity field, three additional versions are available: RWI_TOPO_2012_plusGRS80 (topographic potential + GRS80) RWI_ISOS_2012_plusGRS80 (isosatic potential + GRS80) RWI_TOIS_2012_plusGRS80 (topogr.-isostatic potential + GRS80) where the following zonal harmonic coefficients of the GRS80 normal gravity field are added to the coefficients of the RWI model: C( 0,0) = 0.100000014676351e+01 C( 2,0) = -0.484167032228604e-03 C( 4,0) = 0.790304535833168e-06 C( 6,0) = -0.168725253450154e-08 C( 8,0) = 0.346053594536695e-11 C(10,0) = -0.265006548323563e-14 C(12,0) = -0.410788602320538e-16 C(14,0) = 0.447176931400485e-18 C(16,0) = -0.346362561442980e-20 Note that these coefficients are already rescaled to the above specified parameters GM and a of the RWI model. Details about the used DTM2006.0 topography model can be found in Pavlis et al. (2012, https://doi.org/10.1029/2011JB008916). Details about the used CRUST2.0 model is available from Laske et al. (2000, https://igppweb.ucsd.edu/~gabi/crust2.html).
DOI: 10.5880/gfz.4.3.2021.005
title: Geochemical and sedimentological data of the Tayma palaeolake record

description: The data result from a sedimentological and geochemical multiproxy approach to study a Holocene palaeolake record north of Tayma, NW Saudi Arabia. The lacustrine, partly varved record was analysed in the frame of the DFG founded project CLEAR “Holocene climatic events in Northern Arabia - Environmental changes and human response”. The Tayma palaeolake record comprises continuous lacustrine sediments covering the early to mid-Holocene. The dataset allows detailed palaeoenvironmental and palaeoclimate interpretations from the early Holocene humid period and subsequent dryer conditions during the mid-Holocene. The dataset is part of the supplementary material to “Neugebauer et al. (submitted)” where further details about the locality, core composite, age model, sampling and analytical methods and data processing are given. The data are provided in individual xlsx-files per type of data. The different files include sedimentological and geochemical data determined on the ca. 6 m long master core from the sediment cores (Tay 220/221 and Tay 253/254/255/256): (i) sediment core microfacies data, (ii) bulk total organic carbon (TOC) and carbonate delta13C_carb and delta18O_carb data, (iii) single aragonite laminae delta13C_arag and delta18O_arag data, (iv) concentrations of n-alkanes n-C29 and n-C31 and hydrogen isotope composition deltaD, (v) XRF core scanning data. All data are provided on composite depths and age scales (based on Bayesian age modelling of radiocarbon dates, varve counting and one tephrochronological anchor; see details in the Supplementary material of Neugebauer et al., submitted).
DOI: 10.5880/fidgeo.2020.020
title: Images and videos of analogue centrifuge models exploring marginal flexure during rifting in Afar, East Africa

description: This data set includes images and videos depicting the evolution of deformation and topography of 17 analogue experiments c passive margin development, to better understand the ongoing tectonics along the western margin of Afar, East Africa. The tectonic background that forms the basis for the experimental design is found in Zwaan et al. 2019 and 2020a-b, and references therein. The experiments, in an enhanced gravity field in a large-capacity centrifuge, examined the influence of brittle layer thickness, strength contrast, syn-rift sedimentation and oblique extension on a brittle-viscous system with a strong and weak viscous domain. All experiments were performed at the Tectonic Modelling Laboratory of of the Istituto di Geoscience e Georisorse - Consiglio Nazionale delle Ricerche (CNR-IGG) and of the Earth Sciences Department of the University of Florence (CNR/UF). The brittle layer (sand) thickness ranged between 6 and 20 mm, the underlying viscous layer, split in a competent and weak domain (both viscous mixtures), was always 10 mm thick. Asymmetric extension was applied by removing a 1.5 mm thick spacer at the side of the model at every time step, allowing the analogue materials to spread when enhanced gravity was applied during a centrifuge run. Differential stretching of the viscous material creates flexure and faulting in the overlying brittle layer. Total extension amounted to 10.5 mm over 7 intervals for Series 1 models that aimed at understanding generic passive margin development in a generic orthogonal extension setting, whereas up to 16.5 mm of extension was applied for the additional Series 2 models aiming at reproducing the tectonic phases in Afar. In models involving sedimentation, sand was filled in at time steps 2, 4 and 6 (i.e. after 3, 6 and 9 mm of extension). Detailed descriptions of the experiments, monitoring techniques and tectonic interpretation of the model results are presented in Zwaan et al. (2020c) to which these data are supplementary.
DOI: 10.5880/gfz.1.4.2021.003
title: Mineral reflectance spectra and LIBS data of 18 lithium-bearing mineral samples (lepidolite, petalite and spodumene specimen)

description: The data set contains LIBS (Laser-Induced Breakdown Spectroscopy) emission spectra of 18 lithium-bearing minerals and their corresponding hyperspectral reflectance spectra. The data were collected within the research project LIGHTS (Lightweight Integrated Ground and Airborne Hyperspectral Topological Solutions, http://lights.univ-lorraine.fr/) which aims at developing a new exploration process for Li targets combining drone-borne hyperspectral data and field observations. Hyperspectral data were acquired with the HySpex system in a wavelength range of 414 - 2498 nm and are presented in a spectral library. Detailed information about the samples and area of spectral retrieval is presented in the data sheet below. The spectral library presented here expands the collection of spectral libraries including samples from rare-earth minerals, rare-earth-oxides (Koerting et al., 2019a) and copper-bearing minerals (Koellner et al., 2019) which are fully described in Koerting et al. (2021). These libraries aim to give a spectral overview of important resources and deposit mineralizations. 18 samples taken partly from the collections of the University of Potsdam (UP) and the Federal Institute for Geosciences and Natural Resources (BGR) and partly in the field during previous measurement campaigns were hyperspectrally measured and geochemically analysed by using a LIBS handheld analyzer. A description of the HySpex system in lab use can be found in Koerting et al. (2021). The lithium-bearing mineral samples were measured without prior sample preparation as the surface of the minerals and the influence of the mineral structure were of interest (Figure 1). Figure 1 shows one HySpex scan of four lepidolite samples (Lep1, Lep2, Lep3, Lep4) displayed as a true color RGB image in order to show the untreated samples and the white reflectance (WR) panel needed for the hyperspectral measurements (WR 90%).
DOI: 10.5880/fidgeo.2020.035
title: Mechanical data of simulated basalt-built faults from rotary shear and direct shear experiments

description: Here we report the raw data of the friction experiments carried out on basalt-built simulated faults defined by rock-on-rock contacts and powdered gouge. The experiments were specifically designed to investigate the role of fault microstructure on the frictional properties of basalts and the fault slip stability, and were conducted with the rotary-shear apparatus (SHIVA) and the biaxial deformation apparatus (BRAVA), hosted at the National Institute of Geophysics and Volcanology (INGV) in Rome. Simulated faults were sheared at constant normal stress from 4 to 30 MPa. In SHIVA experiments, we deformed samples at constant slip velocity of 10 μm/s up to 56 mm net slip. In BRAVA tests we performed a sequence of velocity steps (0.1 to 300 μm/s), followed by slide-hold-slide tests (30-3000 s holds; V=10 μm/s slides). Our main results highlight the frictionally strong nature of basalt faults and show opposite friction velocity dependence upon the velocity upsteps: while fault gouges exhibit velocity weakening behavior with increasing normal stress and sliding velocity, bare rock surfaces transition to velocity strengthening behavior as we approach higher slip velocities. The experiments setup and data are further described in the manuscript “Frictional properties of basalt experimental faults and implications for volcano-tectonic settings and geo-energy sites” to which these data are supplementary material.