This README.txt file was generated on [20250521] by [Hugo Dominguez] ------------------- GENERAL INFORMATION ------------------- 1. Title of dataset: Appendices of the PhD thesis of Hugo Dominguez, 2024: "From Migmatites to Granitoids: Transport Mechanisms, Timescales, and Melt Source" 2. Contributor information: Name: Hugo Dominguez Role/Function: Principal Investigator Institution: Geological Institute, University of Bern Address: Baltzerstrasse 2, 3012 Bern, Switzerland Email: hugo.dominguez@unibe.ch 3. Date of data collection: The data was collected between 2023 and 2024 while the samples were collected in 2022. 4. Geographic location of data collection: The samples were collected in the El Oro Complex, Ecuador while the analyses were performed in the University of Bern, Switzerland. The geographic coordinates of the samples are included in the data files. 5. Keywords describing the subject of your dataset: Metamorphism, Granitoids, Migmatites, El Oro Complex, Ecuador, Bulk analyses, Geochemistry, U-Pb dating, Trace elements, LA-ICP-MS, Geochronology 6. Information about funding sources that supported the collection of the data: Funding agency name: ERC Grant number: European Union’s Horizon 2020 research and innovation programme (grant agreement No 850530) ------------------- SHARING/ACCESS INFORMATION ------------------- 1. Licenses/restrictions placed on the data: Attribution-NonCommercial 4.0 International (https://creativecommons.org/licenses/by-nc/4.0/deed.en) 2. Links to publications that cite or use the data: 3. Links to other publicly accessible locations of the data: 4. Links/relationships to additional data sets: 5. Was data derived from another source? Yes. The bulk analyses data were compiled from the following sources: Aspden, J. A., Bonilla, W., & Duque, P. (1995). The El Oro metamorphic complex, Ecuador: Geology and economic mineral deposits. British Geological Survey. Riel, N., Guillot, S., Jaillard, E., Martelat, J. - E., Paquette, J.- L., Schwartz, S., Goncalves, P., Duclaux, G., Thebaud, N., Lanari, P., Janots, E., & Yuquilema, J. (2013). Metamorphic and geochronogical study of the Triassic El Oro metamorphic complex, Ecuador: Implications for high-temperature metamorphism in a forearc zone. Lithos, 156–159, 41–68. https://doi.org/10.1016/j.lithos.2012.10.005. Riel, N., Mercier, J., & Weinberg, R. (2016). Convection in a partially molten metasedimentary crust? Insights from the El Oro complex (Ecuador). Geology, 44(1), 31–34. https://doi.org/10.1130/G37208.1. Vinasco Vallejo, C. J. (2004, December 22). Evolução crustal e história tectônica dos granitóides permotriássicos dos Andes do Norte [Doutorado em Geoquímica e Geotectônica]. Universidade de São Paulo. https://doi.org/10.11606/T.44.2004.tde-27102015-142142. 6. Recommended citation for this dataset: --------------------- DATA & FILE OVERVIEW --------------------- 1. File List: Filename: Chapter_3_TE_titanite.csv Short description: Trace element titanite data collected on LA-ICP-Ms from the Piedras unit of the El Oro Complex, Ecuador used in the chapter 3 of the thesis. Date of creation: 2024-11-02 Filename: Chapter_3_U-Pb_titanite.csv Short description: U-Pb titanite data collected on LA-ICP-Ms from the Piedras unit of the El Oro Complex, Ecuador used in the chapter 3 of the thesis. Date of creation: 2024-11-02 Filename: Chapter_3_TE_zircon.csv Short description: Trace element zircon data collected on LA-ICP-Ms from the Marcabelí pluton, the La Palmerita granitoid, and the migmatites from the La Bocana unit of the El Oro Complex, Ecuador used in the chapter 3 of the thesis. Date of creation: 2024-11-02 Filename: Chapter_3_U-Pb_zircon.csv Short description: U-Pb zircon data collected on LA-ICP-Ms from the Marcabelí pluton, the La Palmerita granitoid, and the migmatites from the La Bocana unit of the El Oro Complex, Ecuador used in the chapter 3 of the thesis. Date of creation: 2024-11-02 Filename: Chapter_4_bulk_compilation.csv Short description: Compilation of bulk rock composition analyses from the El Oro Complex, Ecuador used in Chapter 4 of the thesis. Contains major and trace element data from the Tahuín group and the Piedras unit. The compilation includes data from Aspden et al. (1995), Vinasco et al. (2004), Riel et al. (2013, 2016) and this thesis. Date of creation: 2024-11-02 -------------------------- METHODOLOGICAL INFORMATION -------------------------- The trace elements and U-Pb data were collected on a laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) at the University of Bern, Switzerland. Samples were cut into small blocks and then disaggregated using a high-voltage SelFrag device at the University of Bern, followed by sieving. Zircon and titanite grains were extracted from the 65–250 and 250–500 µm fraction, respectively, using standard density and magnetic separation techniques, including a Frantz isodynamic magnetic separator and heavy liquid methylene iodide. Hand-picked zircons and titanites were mounted in epoxy and polished to expose their mid-sections. Zircon U–Pb and trace elements were collected simultaneously using a RESOlution-LR 193 nm excimer laser ablation system (Applied Spectra), with a S155 sample chamber (Laurin Technic), coupled to an Agilent 7900 ICP-MS housed at the University of Bern. Measurements were conducted across six sessions. Zircons were ablated at a surface energy density (or fluence) of 2.5 J cm−2 at a repetition rate of 5 Hz, with laser spot diameters of 16 and 30 µm, with three pulses of pre-cleaning ablation. Analyses included 30 s of background, followed by 30 s of ablation, and 20 s of washout time. Titanite grains were ablated at a surface energy density (or fluence) of 3 J cm−2 at a repetition rate of 5 Hz, and a laser spot diameter of 50 µm, with three pulses of pre-cleaning ablation. Analyses comprised 30 s of background, followed by 40 s of ablation, and 20 s of washout time. He was the carrier gas (at 400 mL min−1) and N2 was added (at 3.5 mL min−1) to the carrier gas after the sample chamber to increase sensitivity. All LA-ICP-MS data were processed using the software LADR (Norris and Danyushevsky, 2018) to correct for gas backgrounds, downhole fractionation and instrument mass bias and drift. Background measurements were subtracted from the analysis using a step function, while U–Pb isotopic ratios and trace elements were corrected for using polynomial fits. Downhole fractionation corrections were grouped by spot size. The primary reference material (PRM) for zircon U–Pb calibration was GJ-1. Secondary reference materials included Plešovice and 91500. The PRM for trace elements was SRM NIST612 or SRM NIST610, and GSD-1G was used for a secondary standard correction in order to correct for spot size effects. Zr was used as the internal element standard for all zircon analyses with a value of 43.14 wt%. Concerning titanite, the PRM used was MKDE1. The secondary reference materials included BLR. The PRM for trace elements was SRM NIST610, and GSD-1G was used for a secondary standard correction to correct for spot size effects. The bulk rock composition data were compiled from the literature and the work of this thesis. Concerning the data from this thesis, the bulk rock chemical analyses were conducted at the Institute of Geological Sciences, University of Bern (Switzerland). Samples were disaggregated using a high-voltage SelFrag device, then dry-milled in an agate ring mill for 30 minutes, followed by a 15-minute milling of quartz sand to clean the equipment. Nanoparticulate pressed powder pellets (PPPs) were prepared using microcrystalline cellulose as a binder. These PPPs were analysed using LA-ICP-MS, comprising a GeoLas-Pro 193 nm ArF Excimer laser system and an ELAN DRC-e quadrupole mass spectrometer. Calibration was performed using GSD-1G reference material, with GSP-2 as a secondary standard. Accuracy was consistently better than 10%. The PPPs were measured in single-spot mode with an energy density of 6 J cm^-2, a repetition rate of 10 Hz, and a beam size of 90 µm. Six analyses were conducted for each PPP, with pre-ablation cleaning using a larger spot size. Data were integrated over 50–60 seconds per analysis and reduced offline using SILLS software. Detection limits were calculated according to Pettke et al. (2012), with internal standardization based on (i) assuming a fixed total of 100 wt% for major and trace elements, minus volatiles determined by loss on ignition, and (ii) assuming all Fe is present as FeO.