DOI: 10.5281/zenodo.17651025
title: Petrophysical data (Density and Magnetic susceptibility) from the IMAGYN project (High-resolution imaging of the crustal‐scale structure of the Central Pyrenees and role of Variscan inheritance on its geodynamic evolution)

description: GENERAL INFORMATION

1. Title of Dataset: Petrophysical data (Density and Magnetic susceptibility) from the IMAGYN project (High-resolution imaging of the crustal‐scale structure of the Central Pyrenees and role of Variscan inheritance on its geodynamic evolution)

2. Authors: Pilar Clariana, Aina Margalef, Iban Salgado, Conxi Ayala, Esther Izquierdo, Tania Mochales, Emilo Pueyo, Ruth Soto.

Clariana, P. 0000-0002-4168-2744Margalef, A. 0000-0003-3165-3162Ayala, C. 0000-0001-8457-8253Izquierdo, E. 0000-0003-0448-4447 Mochales, T. 0000-0002-4302-8404Pueyo, E.L. 0000-0001-8480-381XSoto, R. 0000-0002-1929-8850

3. Date of data collection: 2018 - 2025

4. Date of data publication on repository: November 2025

5. Geographic location of data collection <latitude, longitude, or city/region, Country, continent as appropriate>: Central Pyrenees (Northeastern Spain)

6. Information about funding sources that supported the collection of the data (including research project reference/acronym):

CGL2017-84901-C2-2-P cuyo título es Caracterizacion 2.5 Y 3d De La Estructura Cortical Del Pirineo Catalan Con Especial Atención A Los Cuerpos Graníticos Y Cuencas Volcano-Sedimentarias Permocarboníferos (GeoPiri3D) - 2.5D and 3D characterization of the Catalan Pyrenees crustal structure with special attention to the granitic bodies and permocarboniferous volcano-sedimentary basins (GeoPiri3D), financiado por MICIN/AEI/10.13039/501100011033 y "FEDER, una manera de hacer Europa"

PID2020-114273GB-C22, cuyo título es Imagen De Alta Resolucion De La Estructura Cortical De Los Pirineos Centrales Y El Papel De La Herencia Varisca En Su Evolucion Geodinamica (IMAGYN) - High-resolution imaging of the crustal-scale structure of the Central Pyrenees and role of Variscan inheritance on its geodynamic evolution (IMAGYN), financiado por MICIN/AEI/10.13039/501100011033

7. Recommended citation for this dataset: 

Pilar Clariana, Aina Margalef, Iban Salgado, Conxi Ayala, Esther Izquierdo, Tania Mochales, Emilo Pueyo, Ruth Soto, 2025. Petrophysical data (Density and Magnetic susceptibility) of the Central Pyrenees (Northeastern Spain) from the IMAGYN project (High-resolution imaging of the crustal‐scale structure of the Central Pyrenees and role of Variscan inheritance on its geodynamic evolution)

SHARING/ACCESS/CONTEXT INFORMATION

1. Usage Licenses/restrictions placed on the data (please indicate if different data files have different usage license):

Restricted until October 31, 2028. Once the period ends, data will be available under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

2. Links to publications/other research outputs that cite the data: 

3. Links to publications/other research outputs that use the data:

-Clariana, P., Soto, R., Ayala, C., et al., and Martí, J. (2022). Basement and cover architecture in the Central Pyrenees constrained by gravity data. International Journal of Earth Sciences. https://doi.org/10.1007/s00531-021-02137-2

-Soto, R., Clariana, P., Ayala, C., et al., and Beamud, E. (2022). Assessing the internal uppermost crustal structure of the Central Pyrenees by gravity-constrained cross sections. Tectonics, 41, e2021TC007009. https://doi.org/10.1029/2021TC007009

-Piña-Varas, P., Soto, R., Clariana, C., Ayala, et al., and P., Pueyo, E. (2023). Highresolution scan of the Pyrenean crustal structure combining magnetotelluric and gravity data, Tectonophysics, Vol. 864, 5, 230022, https://doi.org/10.1016/j.tecto.2023.230022.

-Santolaria, P., Ayala, C., Soto, R., Clariana, P., Rubio, F. M., Martín-León, J., et al. (2024). Salt distribution in the South Pyrenean Central Salient: Insights from gravity anomalies. Tectonics, 43, e2024TC008274. https://doi.org/10.1029/2024TC008274

4. Links to other publicly accessible locations of the data: 

5. Links/relationships to ancillary data sets: 

6. Was data derived from another source? If so, please add link where such work is located:

 

DATA & FILE OVERVIEW

1. File List: 

Petrophysical_header.txtTablaPetrofisica_IMAGYN.xlsx

2. Relationship between files, if important: 

Petrophysical_header.txt, plain text file containing the description of the data fields of the dataset.TablaPetrofisica_IMAGYN.xlsx, Excel format dataset

3. Additional related data collected that was not included in the current data package: Not applicable.

4. Are there multiple versions of the dataset? If so, please indicate where they are located:

This is the only version of this dataset.

METHODOLOGICAL INFORMATION

1. Description of methods used for collection/generation of data: 

Petrophysical surveys consisted of sampling in the field by using an estwing hammer and laboratory analysis

2. Methods for processing the data: 

The bulk density data for each sample have been obtained using the double weighting method (standard UNE-EN, 1936, p. 2007).

Suscetibility data were obtained by using hand susceptometer (SM-20 and KT-20 susceptometers)and also the Bartington MS2E point contact sensor, incorporated into the MSCL Geotek multisensor geophysical testing equipment.   3. Instrument- or software-specific information needed to interpret/reproduce the data, please indicate their location: 

Not applicable.

4. Standards and calibration information, if appropriate: 

Standard UNE-EN, 1936, p. 2007

5. Environmental/experimental conditions: 

Not applicable.

6. Describe any quality-assurance procedures performed on the data: 

On adquired data following Standard UNE-EN, 1936, p. 2007

7. People involved with sample collection, processing, analysis and/or submission, please specify using CREDIT roles https://credit.niso.org/: 

Conxi Ayala Galán, Project administration, ConceptualizationRuth Soto, Project administration, Conceptualization, Methodology, Supervision, ValidationPilar Clariana, Methodology, Supervision, Validation, ResourcesAina Margalef, Methodology, Supervision, Validation, ResourcesEsther Izquierdo, Supervision, Validation, ResourcesTania Mochales, Supervision, Validation, ResourcesEmilo Pueyo, Resources

8. Author contact information:

Pilar Clarianae-mail: p.clarian@igme.esORCID ID: 0000-0002-4168-2744 Ruth Sotoe-mail: r.soto@igme.esORCID ID: 0000-0002-1929-8850

DATA-SPECIFIC INFORMATION:

1. Number of variables: 

9

2. Number of cases/rows: 

889

3. Variable List: 

Formación, Estación,    Muestras,    X,    Y,    S0,    S1,    "S.M.probeta (SI)(K*10-6 ud SI)", D.A probeta (kg/m3)

See xxxxx.txt for the description of the variables

4. Missing data codes: 

NoData value represented by empty cell.

5. Specialized formats or other abbreviations used: 

6. Dictionaries/codebooks used:

7. Controlled vocabularies/ontologies used: