Dataset
- Version 1 of 1
Dataset
Title:
Related Party - Individual (Project Scientist): Doctor Maria Snell (Lancaster University) Email address: m.snell@lancaster.ac.uk
Related Party - Organisation (Deliverer): Eden DTC
Abstract:
Subject Keywords: Ecology; Ecological indicators; Diatoms; Invertebrates; Macrophytes
Geographic Keywords: Eden (river, Cumbria); Cumbria; England
Phenomenon Time - Start Date/Time: 2011-05-31 12:00:00 End Date/Time: 2013-11-06 12:00:00
Data Quality Statement:
Data collection in the EdenDTC project is subjected to rigorous Quality Assurance (QA) and Quality Control (QC) procedures. QA is carried out to ensure that accurate, reliable data is recorded in the field – this involves periodic maintenance of the site (e.g., vegetation removal, checking channel cross-sections for physical changes), and the downloading, maintenance and calibration (where necessary) of monitoring instruments (principally rain gauges, stream gauges, automatic weather stations, and water quality monitoring equipment). The calibration of in-situ water quality monitoring equipment is carried out by trained technical staff, according to the manufactures specifications. All field work and maintenance activities are entered into maintenance logs for each site, which are used during data quality control (QC) procedures. QC is implemented on all data after its collection, the method of which varies according to the environmental variable in question. The overall goal is to ensure that data are accurate and representative. In-situ water quality data (measured chiefly by YSI multi-parameter sondes, Hach Lange nitrate and phosphorus analysers, and turbidity sensors) are cross-referenced with manually collect water samples, which are analysed in a certified laboratory using reference analytical methods (this is particularly relevant for nutrient and suspended sediment determinands). QC also includes the identification of errors in all data sets (due to equipment or power failures, data below limits of detection, instrument drift, etc.). Data known as being non-representative and/or including errors is manually flagged as ‘critical’ and is subsequently removed from the series. Copies of the QC error code files can be found for each piece of monitoring equipment. Any adjustments made to data (e.g., time stamp correction, systematic concentration step-change) will be detailed in a separate document found with a specific site/instrument.
Publication Date:
To discuss any issues relating to this dataset please either send an email to dis@fba.org.uk or post to our forum
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Total file downloads: 477
Title:
Eden DTC Ecological Dataset
Related Party - Individual (Project Scientist): Doctor Maria Snell (Lancaster University) Email address: m.snell@lancaster.ac.uk
Related Party - Organisation (Deliverer): Eden DTC
Abstract:
Eden DTC ecological data - including diatom, macrophyte and invertebrate measurements from the Newby, Pow and Thackthwaite Beck study catchments.
Subject Keywords: Ecology; Ecological indicators; Diatoms; Invertebrates; Macrophytes
Geographic Keywords: Eden (river, Cumbria); Cumbria; England
Phenomenon Time - Start Date/Time: 2011-05-31 12:00:00 End Date/Time: 2013-11-06 12:00:00
Geographic Extent - Longitude (West): -2.961309 Longitude (East): -2.565136 Latitude (South): 54.552600 Latitude (North): 54.840449 |
Data Quality Statement:
Data collection in the EdenDTC project is subjected to rigorous Quality Assurance (QA) and Quality Control (QC) procedures. QA is carried out to ensure that accurate, reliable data is recorded in the field – this involves periodic maintenance of the site (e.g., vegetation removal, checking channel cross-sections for physical changes), and the downloading, maintenance and calibration (where necessary) of monitoring instruments (principally rain gauges, stream gauges, automatic weather stations, and water quality monitoring equipment). The calibration of in-situ water quality monitoring equipment is carried out by trained technical staff, according to the manufactures specifications. All field work and maintenance activities are entered into maintenance logs for each site, which are used during data quality control (QC) procedures. QC is implemented on all data after its collection, the method of which varies according to the environmental variable in question. The overall goal is to ensure that data are accurate and representative. In-situ water quality data (measured chiefly by YSI multi-parameter sondes, Hach Lange nitrate and phosphorus analysers, and turbidity sensors) are cross-referenced with manually collect water samples, which are analysed in a certified laboratory using reference analytical methods (this is particularly relevant for nutrient and suspended sediment determinands). QC also includes the identification of errors in all data sets (due to equipment or power failures, data below limits of detection, instrument drift, etc.). Data known as being non-representative and/or including errors is manually flagged as ‘critical’ and is subsequently removed from the series. Copies of the QC error code files can be found for each piece of monitoring equipment. Any adjustments made to data (e.g., time stamp correction, systematic concentration step-change) will be detailed in a separate document found with a specific site/instrument.
Publication Date:
2016-07-19
To discuss any issues relating to this dataset please either send an email to dis@fba.org.uk or post to our forum
Download All 0.94MB
All Version Downloads
Citation of this data should be as follows:
Eden DTC (2016): Eden DTC Ecological Dataset. Version:1. [dataset] Freshwater Biological Association [publisher]. doi:10.17865/dtceden135
Total file downloads: 477
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