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This dataset contains the experimental data found in the manuscript entitled "Influence of effective stress and pore fluid pressure on fault strength and slip localization in calcite gouges". The data is ordered according to the figures and tables in which they are found. Each folder containing the data includes a readme file describing the content of the files as well.
Data Types:
  • Other
  • Tabular Data
  • Dataset
  • Text
We simulated the surface evolution for a pre-Nectarian surface unit and found that relative to their size, large complex craters are less destructive to the surrounding terrain than small simple craters. The data is structured as follows: 01_CTEM_Outputs - .dat files in which the craters from the simulations are stored - Python script to convert the .dat files to shapefiles 02_Shapefiles_From_CTEM_Outputs - Shapefiles in which the craters from the simulations are stored - Shapefile of the surrounding area (created manually) 03_CSFD_Measurements - A modified version of CSFD Tools to conduct Cartesian crater size-frequency distribution measurements - .scc files which contain the results from the Traditional Crater Counting and Non-sparseness Correction techniques (for further analysis in Craterstats) 04_Crater_Statistics - .stat files which contain crater size-frequency distribution statistics (obtained from the Craterstats software) 05_Crater_Equilibrium - simplified .stat files which contain cumulative number density information - Python script to fit a power law function to the simplified .stat files 06_Geometric_Saturation_Levels - .stat files which contain crater size-frequency distribution statistics (obtained from the Craterstats software) - Python script to calculate geometric saturation levels from .stat files - .txt files containing geometric satration levels Data by Orgel et al. (2018) are availiable here: http://www.planet.geo.fu-berlin.de/Orgel_etal_2017_Lunar_basins.zip
Data Types:
  • Other
  • Software/Code
  • Geospatial Data
  • Dataset
  • Document
  • Text
Developing and validating a University Needs Instrument to Measure the Psychosocial Needs of University Students
Data Types:
  • Software/Code
  • Dataset
Original data of microarray for "7702 +" (HL7702 cells with overexpressing SOD2) and "7702 NC" (HL7702 cells with control)
Data Types:
  • Tabular Data
  • Dataset
  • Document
  • Text
Dataset for genome sequencing and de novo assembly of the Vietnamese broadhead catfish (Clarias macrocephalus).
Data Types:
  • Dataset
  • Document
  • Text
  • File Set
The dataset contains:
Data Types:
  • Software/Code
  • Image
  • Tabular Data
  • Dataset
RDF dataset generated by the OceanGraph project (DOI https://doi.org/10.1007/978-3-030-21395-4_3). It contains approximately 4.7M of triplets extracted from different data sets belonging to OBIS, GBIF, SN SciGraph. It also contains information on oceanographic campaigns of the Argentine initiative Pampa Azul extracted from Sistema Nacional de datos del Mar (SNDM).
Data Types:
  • Dataset
  • Text
Raw images that were used to compile a movie from tensile tests of Haynes 282 superalloy in SSA condition involving using of non-contact strain measurements.
Data Types:
  • Other
  • Image
  • Dataset
  • Text
Data set extracted from https://globalclinicaltrials.com/ for key works combination related to TBI tDCS TBI TMS Stroke tDCS Stoke TMS refiltered using matlab custom code to match the cross matching conditions and treatment as defined in downloaded description.
Data Types:
  • Software/Code
  • Tabular Data
  • Dataset
The database, version 26 (first version was available in 2002), contains now 13239 site forms, (most of them with their geographical coordinates), comprising 16695 radiometric data: Conv. 14C and AMS 14C (12922 items), TL (10143 items), OSL (6510 items), ESR, Th/U and AAR (2093 items) from the European (Russian Siberia included) Lower, Middle and Upper Palaeolithic. All 14C dates are conventional dates BP. This improved version 26 replaces the older version 25. 170 new sites are incorporated and 267 sites have a corrected or an updated content.
Data Types:
  • Software/Code
  • Geospatial Data
  • Tabular Data
  • Dataset
  • Document
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