DOI: 10.6084/m9.figshare.26061526
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_v2</b>) is an excel workbook composed of four spreadsheets, structured as follows:1. <b>Monthly Composite Stations:</b> corresponds to 25 inputs characterizing each “monthly composite” monitoring station from the RNHIP, incorporated in 10 columns of categorical and numerical data, including a station ID:1.1. <b>Country:</b> country of sampling1.2. <b>Region:</b> region within the country of sampling, according to the political-administrative commonly used in the country of sampling.1.3. <b>Province:</b> province within the region1.4. <b>Station:</b> Station full name, including national code for those ones that also tribute to the national meteorological service.1.5. <b>Monitoring Type: </b>categorical definition defining the type of monitoring conducted in the station during the period reported in the database1.6. <b>Lat N (DD.DDDD):</b> latitudinal location in decimal degrees1.7. <b>Long W (DD.DDDD):</b> longitudinal location in decimal degrees1.8. <b>Elevation (masl):</b> altitude of the sampling station in meters above the sea level1.9. <b>Distance to Coastline (km):</b> straight-line shortest distance from the sampling station to the coastline in kilometers1.10. <b>Station ID:</b> short identification used to link with the corresponding data inputs in the spreadsheet “Monthly Composite Data”<br>2. <b>Monthly Composite Data:</b> corresponds to 531 independent observations obtained from the monthly composite monitoring of precipitations at 25 stations of the RNHIP, using PALMEX RS-2 collectors, between January 2017 and December 2021. It is structured in 16 columns covering: station identification; sampling accompanying information; isotopic composition of samples; and data source.2.1. <b>Station ID:</b> short identification used to link the data inputs described in this spreadsheet with its corresponding monitoring station2.2. <b>Sequential No. of samples by station:</b> sequential number of samples attributed to each entry of the primary sampling record at each station2.3. <b>Sampling Period:</b> year and month of the sampling2.4. <b>Seasonality:</b> Season in which the sampling was performed2.5. <b>Start date (d/m/y):</b> day, month, and year when the sampling started2.6. <b>End date (d/m/y):</b> day, month, and year when the sampling ended2.7. <b>Rain amount (mm):</b> total rainfall collected during the sampling period, in millimeters.2.8. <b>Air Temperature (ºC):</b> monthly mean of air temperature at the monitoring station level.2.9. <b>Relative Humidity (%):</b> monthly mean of relative humidity at the monitoring station level.2.10. <b>Atmospheric Pressure (hPa):</b> monthly mean of atmospheric pressure at the monitoring station level.2.11. <b>O-18</b><b> </b><b>(‰):</b> isotopic composition of oxygen-182.12. <b>U_O-18</b><b> </b><b>(‰):</b> uncertainty associated with the measurement of the isotopic composition of oxygen-182.13. <b>H-2</b><b> </b><b>(‰):</b> isotopic composition of hydrogen-22.14. <b>U_H-2</b><b> </b><b>(‰):</b> uncertainty associated with the measurement of the isotopic composition of hydrogen-22.15. <b>d-excess</b><b> </b><b>(‰):</b> calculated deuterium excess2.16. <b>Lab:</b> laboratory that performed the analysis<br>3. <b>Event-Based Data:</b> corresponds to 111 independent observations obtained from event-based monitoring using exchangeable passive collectors at 3 stations from Cienfuegos province, between July 2019 and August 2021. It is structured in 17 columns covering: sample identification; detailed time frame of the sampling, sampling accompanying information; isotopic composition of samples; and data source.3.1. <b>Station ID:</b> short identification used to link the data inputs described in this spreadsheet with its corresponding monitoring station3.2. <b>Date:</b> date of the sampling (from the time that the event started)3.3. <b>Start Time:</b> Exact time at which the sampling started3.4. <b>End Time:</b> Exact time at which the sampling ended3.5. <b>Date and Time:</b> date and time of sampling starting3.6. <b>Seasonality:</b> Season in which the sampling was performed3.7. <b>Association:</b> Meteorological association of rainfall event (regular event or associated to a specific tropical cyclone)3.8. <b>Representativity:</b> representativity of the sample within the event, either full event or event fraction.3.9. <b>Sampling duration (min):</b> time of exposure in minutes during the sampling, from the starting time to the end of the sampling3.10. <b>Rain amount (mm):</b> total rainfall collected during the sampling period, in millimeters.3.11. <b>Rainfall Intensity (mm/min):</b> calculated intensity in millimeters per minute3.12. <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)3.13. <b>Air masses origin:</b> Ocean region from the water masses originated, classified as North Atlantic Ocean (NOA) and Eastern Caribbean Sea (ECS). Computed from 24h back-trajectories using HYSPLIT.3.14. <b>O-18</b><b> </b><b>(‰):</b> isotopic composition of oxygen-183.15. <b>H-2</b><b> </b><b>(‰):</b> isotopic composition of hydrogen-23.16. <b>d-excess</b><b> </b><b>(‰):</b> calculated deuterium excess3.17. <b>Lab:</b> laboratory that performed the analysis<br><b>4.</b><b> </b><b>Calculations:</b> contains basic calculations for specific parameters that can be used for the hydrological interpretation and further usage of the dataset in specific contexts or case studies.4.1. <b>Volume-weighted Mean:</b> Volume-weighted Mean of the isotopic composition for the whole data series4.2. <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)4.3. <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)).