Conductivity in LTER-Europe research site: Lake Paione Inferiore (1984-2013)

Dataset provides information about conductivity determined at 20°C (in µS cm-1) in Lake Paione Inferiore (LPI) at different layer depths collected at least twice per year(late summer/autumn) during the period 1984-2013. In total 279 records of conductivity in LPI for the period 1984-2013 are uploaded. The range of the parameter is from 6,4 to 18,84 µS cm-1(±1,585). The ongoing studies of the water chemistry of Paione lakes aimed at monitoring their recovery from acidification and/or possible responses to climate warming. The Paione lakes (Inferiore and Superiore) are an example of acid-sensitive environments which began in the 1990s to show signs of recovery, with an improvement in pH values and alkalinity and a decrease in sulphate concentrations in response to atmospheric loads.

Identifier
Source http://sk.ise.cnr.it/observations/sos/kvp?service=SOS&version=2.0.0&request=GetObservation&offering=offering:http://sp7.irea.cnr.it/sensors/sk.ise.cnr.it/procedure/RadiometerAnalytical/ION450/noSerialNumberDeclared/2015042818049863/observations&observedProperty=http://vocab.nerc.ac.uk/collection/P01/current/CNDCZZ01/&procedure=http://sp7.irea.cnr.it/sensors/sk.ise.cnr.it/procedure/RadiometerAnalytical/ION450/noSerialNumberDeclared/2015042818049863&featureOfInterest=http://sp7.irea.cnr.it/sensors/sk.ise.cnr.it/foi/SSF/SP/EPSG:4326/46.16917/8.18944&MergeObservationsIntoDataArray=true
Metadata Access https://deims.org/pycsw/catalogue/csw?verb=GetRecord&metadataPrefix=iso19139&identifier=685b95f7-ecfe-5ba3-a51d-fc01bfffc353
Provenance
Contributor and;deims.org;DEIMS-SDR;Dataset;registry;Site
Publication Year 2018
Rights Co-authorship on publications resulting from use of the dataset;Formal acknowledgement of the dataset providers;The opportunity to collaborate on the project using the dataset;The opportunity to review the results based on the dataset;Reprints of articles using the dataset must be provided to the data provider;The dataset provider is given a complete list of all products that make use of the dataset
Representation
Language English;English
Resource Type dataset
Coverage
Discipline Environmental Monitoring
Spatial Coverage (46N-46N,8 E-8 E)