DOI: 10.6084/m9.figshare.26061526.v1
title: RNHIP data set on the isotopic composition of meteoric waters in Cuba "<b>IsotopeDataBaseCubaPrecip10.06.2024"</b>

description: This database (<b>IsotopeDataBaseCubaPrecip10.06.2024</b>), is composed of two sheets, structured as follows:1. <b>Monthly Composite Data RNHIP:</b> corresponds to 531 independent observations obtained from monthly composite monitoring using PALMEX RS-2 collectors at 25 stations of the RNHIP, between January 2017 and December 2021. It is structured in 23 columns covering: sample identification; sampling accompanying information; isotopic composition of samples; and data source.1.1. <b>Country:</b> country of sampling1.2. <b>Region:</b> region within the country of sampling1.3. <b>Province:</b> province within the region1.4. <b>Station:</b> Station within the province1.5. <b>Lat N (DD.DDDD):</b> latitudinal location in decimal degrees1.6. <b>Long W (DD.DDDD):</b> longitudinal location in decimal degrees1.7. <b>Elevation (masl):</b> altitude of the sampling station in meters above the sea level1.8. <b>Distance to Coastline (km):</b> shortest distance from the sampling station to the coastline in kilometers1.9. <b>Sequential No. of samples by station:</b> sequential number of samples since the start of the sampling at the corresponding station1.10. <b>Sampling Period:</b> year and month of the sampling1.11. <b>Seasonality:</b> Season in which the sampling was performed1.12. <b>Start date (d/m/y):</b> day, month, and year when the sampling started1.13. <b>End date (d/m/y):</b> day, month, and year when the sampling ended1.14. <b>Rain amount (mm):</b> total rainfall amount collected during the sampling period, in millimeters.1.15. <b>Air Temperature (ºC):</b> monthly mean of air temperature at the monitoring station level.1.16. <b>Relative Humidity (%):</b> monthly mean of relative humidity at the monitoring station level.1.17. <b>Atmospheric Pressure (hPa):</b> monthly mean of atmospheric pressure at the monitoring station level.1.18. <b>O-18</b><b> </b><b>(‰):</b> isotopic composition of oxygen-181.19. <b>U_O-18</b><b> </b><b>(‰):</b> uncertainty associated to the measurement of the isotopic composition of oxygen-181.20. <b>H-2</b><b> </b><b>(‰):</b> isotopic composition of hydrogen-21.21. <b>U_H-2</b><b> </b><b>(‰):</b> uncertainty associated to the measurement of the isotopic composition of hydrogen-21.22. <b>d-excess</b><b> </b><b>(‰):</b> calculated deuterium excess1.23. <b>Lab:</b> laboratory that performed the analysisAdditionally1.24. <b>Volume-weighted Mean:</b> Volume-weighted Mean of the isotopic composition for the whole data series1.25. <b>OLSR:</b> Local Meteoric Water Line calculated from the Ordinary Leas Square Regression line for the whole data series (e.g. IAEA, 1992: Statistical Treatment of Isotopes in Precipitation - cf. http://www.iaea.org/water)1.26. <b>PWLSR:</b> Local Meteoric Water Line calculated as the Precipitation Weighted Least Square Regression (CE Hughes and J Crawford: A new precipitation weighted method for determining the meteoric water line for hydrological applications demonstrated using Australian and global GNIP data. Journal of Hydrology 464-465, p. 344-351 (2012)).<br>2. <b>Event-Based Monitoring:</b> corresponds to 111 independent observations obtained from event-based monitoring using exchangeable simple bucket collectors at 2 stations from Cienfuegos province, between July 2019 and August 2021. It is structured in 22 columns covering: sample identification; detailed time frame of the sampling, sampling accompanying information; isotopic composition of samples; and data source.2.1. <b>Country:</b> country of sampling2.2. <b>Region:</b> region within the country of sampling2.3. <b>Province:</b> province within the region2.4. <b>Station:</b> Station within the province2.5. <b>Lat N (DD.DDDD):</b> latitudinal location in decimal degrees2.6. <b>Long W (DD.DDDD):</b> longitudinal location in decimal degrees2.7. <b>Date:</b> date of the sampling (from the time that the event started)2.8. <b>Start Time:</b> time at which the sampling started2.9. <b>End Time:</b> time at which the sampling ended2.10. <b>Date and Time:</b> date and time of sampling starting2.11. <b>Seasonality:</b> season in which the sampling was performed2.12. <b>Association:</b> Meteorological association of rainfall event (regular event or associated to a specific tropical cyclone)2.13. <b>Representativity:</b> representativity of the sample within the event, either full event or event fraction.2.14. <b>Sampling duration (min):</b> time of exposure in minutes during the sampling, since the starting time to the end of the sampling2.15. <b>Rain amount (mm):</b> total rainfall amount collected during the sampling period, in millimeters.2.16. <b>Rainfall Intensity (mm/min):</b> calculated intensity in millimeters per minute2.17. <b>Rainfall Intensity (Class MANOBS):</b> rainfall classification as per the calculated intensity and according to the Manual of Surface Weather Observation Standards (https://publications.gc.ca/site/eng/9.907779/publication.html)2.18. <b>Air masses origin:</b> Ocean region from the water masses originated, classified as the North Atlantic Ocean (NOA) and the Eastern Caribbean Sea (ECS). Computed from 24-hour back-trajectories using HYSPLIT.2.19. <b>O-18</b><b> </b><b>(‰):</b> isotopic composition of oxygen-182.20. <b>H-2</b><b> </b><b>(‰):</b> isotopic composition of hydrogen-22.21. <b>d-excess</b><b> </b><b>(‰):</b> calculated deuterium excess2.22. <b>Lab:</b> laboratory that performed the analysisAdditionally2.23. <b>OLSRs:</b> regression lines for the three types of events collected (regular rainfall and both tropical cyclones) calculated from the Ordinary Leas Square Regression line for the whole data series (e.g. IAEA, 1992: Statistical Treatment of Isotopes in Precipitation - cf. http://www.iaea.org/water)2.24. <b>PWLSRs:</b> regression lines for the three types of events collected (regular rainfall and both tropical cyclones) calculated as the Precipitation Weighted Least Square Regression CE Hughes and J Crawford: A new precipitation weighted method for determining the meteoric water line for hydrological applications demonstrated using Australian and global GNIP data. Journal of Hydrology 464-465, p. 344-351 (2012).