Giampouras, Manolis; Garrido, Carlos J; Zwicker, Jennifer; Vadillo, Inaki; Smrzka, Daniel; Bach, Wolfgang; Peckmann, Jörn; Jimenez, Pablo; Benavente, Jose; Garcia-Ruiz, Juan Manuel (2020): Geochemical profiles of water samples from hyperalkaline springs, Ronda peridotites, Spain [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.921884, In: Giampouras, M et al. (2020): Geochemistry and mineralogy of serpentinization-driven hyperalkaline springs in the Ronda peridotites [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.921887
Always quote citation above when using data! You can download the citation in several formats below.
Supplement to:
Giampouras, Manolis; Garrido, Carlos J; Zwicker, Jennifer; Vadillo, Inaki; Smrzka, Daniel; Bach, Wolfgang; Peckmann, Jörn; Jimenez, Pablo; Benavente, Jose; Garcia-Ruiz, Juan Manuel (2019): Geochemistry and mineralogy of serpentinization-driven hyperalkaline springs in the Ronda peridotites. Lithos, 350-351, 105215, https://doi.org/10.1016/j.lithos.2019.105215
Further details:
Bility, Moses T; Ho, Sara; Agarwal, Yash; Castronova, Isabella; Beatty, Cole; Biradar, Shivkumar; Narala, Vanshika; Periyapatna, Nivitha; Nachega, Jean (submitted): Can Traditional Chinese Medicine provide insights into controlling the COVID-19 pandemic: Serpentinization-induced lithospheric long-wavelength magnetic anomalies in Proterozoic bedrocks in a weakened geomagnetic field mediate the aberrant transformation of biogenic molecules in COVID-19 via magnetic catalysis.
Giampouras, Manolis; Garrido, Carlos J; Bach, Wolfgang; Los, Catharina; Fussmann, Dario; Monien, Patrick; Garcia-Ruiz, Juan Manuel (2020): On the controls of mineral assemblages and textures in alkaline springs, Samail Ophiolite, Oman. Chemical Geology, 533, 119435, https://doi.org/10.1016/j.chemgeo.2019.119435
Leong, James Andrew M; Shock, Everett L (2020): Thermodynamic constraints on the geochemistry of low-temperature, continental, serpentinization-generated fluids. American Journal of Science, 320(3), 185-235, https://doi.org/10.2475/03.2020.01
Project(s):
ITN-ABYSS (ITN-ABYSS)
PROMETHEUS (PROMETHEUS)
Coverage:
Median Latitude: 36.686508 * Median Longitude: -4.784038 * South-bound Latitude: 36.595000 * West-bound Longitude: -4.917100 * North-bound Latitude: 36.842900 * East-bound Longitude: -4.725600
Date/Time Start: 2017-10-14T00:00:00 * Date/Time End: 2017-10-14T00:00:00
Event(s):
ALF-Ronda * Latitude: 36.693100 * Longitude: -4.916800 * Date/Time: 2017-10-14T00:00:00 * Location: Ronda, Spain * Method/Device: Sampling by hand (HAND)
Comment:
Dissolved inorganic carbon was calculated after Stumm & Morgan (1996).
Parameter(s):
# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
---|---|---|---|---|---|---|
1 | Event label | Event | Giampouras, Manolis | |||
2 | Latitude of event | Latitude | Giampouras, Manolis | |||
3 | Longitude of event | Longitude | Giampouras, Manolis | |||
4 | Date/Time of event | Date/Time | Giampouras, Manolis | |||
5 | Location | Location | Giampouras, Manolis | |||
6 | Water description | Water descr | Giampouras, Manolis | |||
7 | Sample ID | Sample ID | Giampouras, Manolis | |||
8 | pH | pH | Giampouras, Manolis | Multiparameter probe (HI9813-5, Hanna Instruments, Woonsocket, Rhode Island) (HI9813-5) | ||
9 | Temperature, water | Temp | °C | Giampouras, Manolis | Multiparameter probe (HI9813-5, Hanna Instruments, Woonsocket, Rhode Island) (HI9813-5) | |
10 | Conductivity, electrolytic | EC | µS/cm | Giampouras, Manolis | Multiparameter probe (HI9813-5, Hanna Instruments, Woonsocket, Rhode Island) (HI9813-5) | |
11 | Alkalinity, total | AT | mmol(eq)/l | Giampouras, Manolis | ||
12 | Barium | Ba | µmol/l | Giampouras, Manolis | ICP-OES, Varian Vista Pro | |
13 | Calcium | Ca | mmol/l | Giampouras, Manolis | ICP-OES, Varian Vista Pro | |
14 | Potassium | K | mmol/l | Giampouras, Manolis | ICP-OES, Varian Vista Pro | |
15 | Magnesium | Mg | mmol/l | Giampouras, Manolis | ICP-OES, Varian Vista Pro | |
16 | Sodium | Na | mmol/l | Giampouras, Manolis | ICP-OES, Varian Vista Pro | |
17 | Silicon | Si | mmol/l | Giampouras, Manolis | ICP-OES, Varian Vista Pro | |
18 | Aluminium | Al | µmol/l | Giampouras, Manolis | ICP-OES, Varian Vista Pro | |
19 | Iron | Fe | µmol/l | Giampouras, Manolis | ICP-OES, Varian Vista Pro | |
20 | Strontium | Sr | µmol/l | Giampouras, Manolis | ICP-OES, Varian Vista Pro | |
21 | Phosphorus | P | µmol/l | Giampouras, Manolis | ICP-OES, Varian Vista Pro | |
22 | Chloride ion | Cl- | mmol/l | Giampouras, Manolis | Ion chromatography (Metrohm 882 Compact IC plus) | |
23 | Sulfate | [SO4]2- | mmol/l | Giampouras, Manolis | Ion chromatography (Metrohm 882 Compact IC plus) | |
24 | Carbon, inorganic, dissolved | DIC | mmol/l | Giampouras, Manolis |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
260 data points
Data
1 Event | 2 Latitude | 3 Longitude | 4 Date/Time | 5 Location | 6 Water descr | 7 Sample ID | 8 pH | 9 Temp [°C] | 10 EC [µS/cm] | 11 AT [mmol(eq)/l] | 12 Ba [µmol/l] | 13 Ca [mmol/l] | 14 K [mmol/l] | 15 Mg [mmol/l] | 16 Na [mmol/l] | 17 Si [mmol/l] | 18 Al [µmol/l] | 19 Fe [µmol/l] | 20 Sr [µmol/l] | 21 P [µmol/l] | 22 Cl- [mmol/l] | 23 [SO4]2- [mmol/l] | 24 DIC [mmol/l] |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
HED | 36.8429 | -4.7327 | 2017-10-14 | Carratraca | hyperalkaline fluids | HED | 11.3 | 21.0 | 857 | 2.32 | 0.3058 | 0.6545 | 0.3379 | 0.0023 | 4.5846 | 0.2280 | 26.6830 | 0.0895 | 2.0315 | 0.4197 | 4.4939 | 0.0152 | 0.4117 |
AMAR | 36.6892 | -4.9111 | 2017-10-14 | Ronda | hyperalkaline fluids | AMAR | 11.8 | 18.2 | 1257 | 5.08 | 0.0728 | 1.7406 | 0.2401 | 0.0165 | 3.1766 | 0.0828 | 0.7783 | 0.1612 | 5.9690 | 0.1614 | 2.0905 | 0.0375 | 0.4194 |
BAL | 36.6790 | -4.9095 | 2017-10-14 | Ronda | hyperalkaline fluids | BAL | 11.4 | 16.9 | 478 | 1.54 | 0.0073 | 0.1437 | 0.1898 | 0.0273 | 1.8930 | 0.0192 | 0.8894 | 0.0358 | 0.3766 | <0.0323 | 1.5183 | 0.0015 | 0.8219 |
ALF-Ronda | 36.6931 | -4.9168 | 2017-10-14 | Ronda | hyperalkaline fluids | ALF | 12.0 | 18.9 | 1100 | 6.02 | 0.0146 | 1.9100 | 0.2348 | 0.0007 | 1.9943 | 0.0430 | 5.3738 | 0.0179 | 4.1885 | <0.0323 | 1.4955 | 0.0015 | 0.5728 |
BP1 | 36.5951 | -4.7256 | 2017-10-14 | Ojen | hyperalkaline fluids | BP1 | 11.5 | 21.6 | 636 | 2.33 | 0.0218 | 0.8798 | 0.1364 | 0.0007 | 1.9769 | 0.0851 | 3.4466 | 0.0537 | 2.1228 | 0.0323 | 1.9592 | 0.0004 | 0.3738 |
BP1/SK | 36.7117 | -4.7256 | 2017-10-14 | Ojen | hyperalkaline fluids | BP1/SK | 11.5 | 20.1 | 586 | 1.21 | 0.0291 | 0.2914 | 0.1822 | 0.0027 | 2.5550 | 0.0990 | 2.5201 | <0.1790 | 1.8147 | 0.2260 | 2.5428 | 0.0055 | 0.5646 |
BP2 | 36.6949 | -4.7256 | 2017-10-14 | Ojen | hyperalkaline fluids | BP2 | 11.5 | 20.2 | 718 | 2.73 | 0.0218 | 0.8835 | 0.1708 | 0.0616 | 2.4332 | 0.0863 | 4.4472 | 0.0537 | 2.2598 | 0.1614 | 2.3149 | 0.0007 | 0.4570 |
BP3 | 36.7117 | -4.7256 | 2017-10-14 | Ojen | hyperalkaline fluids | BP3 | 10.9 | 20.1 | 1859 | 1.79 | 0.0291 | 0.5761 | 0.2445 | 0.0455 | 3.8560 | 0.1033 | 3.5578 | 0.1433 | 2.2483 | 3.0994 | 3.9690 | 0.0245 | 0.8818 |
BP4 | 36.7118 | -4.7257 | 2017-10-14 | Ojen | hyperalkaline fluids | BP4 | 11.4 | 20.3 | 1156 | 2.47 | 0.0218 | 0.8276 | 0.1761 | 0.0007 | 2.4628 | 0.0907 | 4.2249 | 0.0179 | 2.1685 | <0.0323 | 2.4925 | 0.0008 | 0.4504 |
BP5 | 36.7118 | -4.7257 | 2017-10-14 | Ojen | hyperalkaline fluids | BP5 | 9.6 | 20.8 | 3015 | 15.10 | 0.0874 | 0.8982 | 1.1556 | 9.7305 | 20.4130 | 0.0572 | 1.0377 | 0.1433 | 2.4880 | 24.5690 | 29.6430 | 6.8268 | 14.8360 |
ALF/R | 36.6931 | -4.9171 | 2017-10-14 | Ronda | River water | ALF/R | 8.8 | 16.8 | 412 | 5.26 | 0.0146 | 0.0895 | 0.0117 | 1.9885 | 0.1746 | 0.3792 | 0.9636 | 0.0179 | 0.1484 | 0.0323 | 0.1677 | 0.0313 | 5.2287 |
BPR/DO | 36.5950 | -4.7257 | 2017-10-14 | Ojen | River water | BPR/DO | 8.9 | 17.7 | 621 | 8.32 | 0.0874 | 0.6138 | 0.0149 | 2.8031 | 0.3075 | 0.6961 | 0.4818 | 0.1791 | 1.6320 | 0.2583 | 0.3152 | 0.2325 | 8.2862 |
BPR/UP | 36.5953 | -4.7258 | 2017-10-14 | Ojen | River water | BPR/UP | 8.5 | 17.6 | 550 | 8.37 | 0.0437 | 0.6178 | 0.0132 | 2.8216 | 0.3059 | 0.7025 | 0.6300 | 0.0537 | 1.6435 | 0.3874 | 0.3108 | 0.2339 | 8.2797 |