Earth and Planetary Science Letters
ISSN: 0012-821X
Datasets associated with articles published in Earth and Planetary Science Letters
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- Data for: Plate bending, energetics of subduction and modeling of mantle convection: a boundary element approachNumerical model of free subduction based on the Boundary Element Method.
- Data for: Role of rift maturity on the architecture and shortening distribution in mountain beltsEquations sovled by the code used for numerical simulations and extended results of the numerical models showing the evolution of the viscosity, strain rate and strain of the presented models in the main article
- Data for: Extensional deformation in subduction zones triggered by co-seismic stress changes from megathrust earthquakesFinite element model output files from the reference model.
- Data for: The isotopic composition of volatiles in the unique Bench Crater carbonaceous chondrite impactor found in the Apollo 12 regolithTable 1. Light isotope (H, C and N) compositions determined for fragments of the Bench Crater and Murchison meteorites in this study and related literature measurements. Table 2. Oxygen isotope results in phases within Bench Crater meteorite.
- Data for: Repeated Magmatic Build-up and Deep "Hot Zones" in Continental Evolution: the Cadomian Crust of IranThese files include mineral geochemistry, bulk rock major, trace and isotope data, zircon U-Pb age data and zircon Lu-Hf isotopes from all Cadomian rocks in Iran.
- Data for: Distinct evolution of the carbonaceous and non-carbonaceous reservoirs: Insights from Ru, Mo, and W isotopesExcel files for tables of internally-normalized, mass bias-corrected Pt, Ru, and Mo isotope ratios reported in the main text.
- Data for: Quantifying dynamic pressure and temperature conditions on fault asperities during earthquake slip# Raw data Raw Raman spectra for Maps 1-3 are provided. # Codes for replicating data presented Figure 2 b, c, d; 6 a, b; 7 a , b - Supporting Data > Python Codes > Data_treatment.ipynb Figure 8 a, b - Supporting Data > Matlab Codes > Fictivetempcalib.m Figure 8 c - Supporting Data > Matlab Codes > Coolingrates.m Supporting Data > Matlab Codes > fdheat1d.m Figure 9 a, b - Supporting Data > Matlab Codes > Fictive.m # Requirements Python code was tested with: - Python 3.7 - Scipy version 1.4.1 - matplotlib version 3.1.3 - numpy version 1.18.1 - pandas version 1.0.3 - rampy version 0.4.5 To run the code, install all the above dependencies (we recommend using Anaconda Python as it provides most of them bundled together), then using a terminal (best in Linux or Mac OS as we used Unix relative paths) and type: >>> python Data_treatment.py This runs the code and generates the figures, which are saved in ./Python Codes/figures/ . You will need to create this folder in the same directory that the python script is saved. Matlab code was run with Matlab 2018b.
- Data for: Tracking dike propagation leading to the 2018 K{\=\i}lauea eruptionCatalog of detected events: Columns are #1, Time in days since 2018/04/29; #2, x location (in m); #3, y location (in m). Locations are defined relative to the reference point of coordinates (Latitude = 19.3864; Longitude = -155.1050).
- Data for: A progressive wetter Holocene climate in the eastern lowlands of GuatemalaRaw data for the article by Duarte et al.
- Data for: Reversible scavenging traps hydrothermal iron in the deep oceanThis file includes the data of total dissolved iron and manganese concentrations and their size-partitioning along the western segment of the GEOTRACES GP16 transect.
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