Data Package Metadata   View Summary

Keswick Reservoir Temperature Profile Data (2017-2019)

General Information
Data Package:
Local Identifier:edi.117.1
Title:Keswick Reservoir Temperature Profile Data (2017-2019)
Alternate Identifier:DOI PLACE HOLDER
Abstract:

This dataset contains the Keswick Reservoir temperature profile data collected by using remote logging thermistors (temperature loggers) attached to a cable system at the log boom above Keswick Dam in three monitoring seasons in 2017, 2018 and 2019. Field data monitoring installation was performed by U.S. Bureau of Reclamation (Reclamation), with support from Watercourse Engineering, Inc. (Watercourse) as part of the Shasta Lake and Keswick Reservoir Flow and Temperature Modeling study conducted by Watercourse in cooperation with Reclamation. All data were collected using HOBO Water Temperature Pro v2 Data Loggers and reported to 0.01oF.

Publication Date:2020-12-19

Time Period
Begin:
2017-09-06
End:
2019-12-31

People and Organizations
Contact:Deas, Michael (Watercourse) [  email ]
Creator:Deas, Michael (Watercourse)
Associate:Field, Randi (USBR, Project Manager)
Associate:Gotham, Greg (USBR, Field Manager)
Associate:Sogutlugil, Ibrahim E (Watercourse, Engineer)

Data Entities
Data Table Name:
Keswick Reservoir Tw Profile Data 2017-19.csv
Description:
This data table includes Keswick Reservoir temperature profile data above Keswick Dam that were collected seasonally over three years (2017-2019).
Other Name:
Keswick Reservoir Tw Monitoring 2017-2019.pdf
Description:
Keswick Reservoir Tw Monitoring Methods
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/edi/117/1/1527afdfb9456d5ae236484b1c9d634e
Name:Keswick Reservoir Tw Profile Data 2017-19.csv
Description:This data table includes Keswick Reservoir temperature profile data above Keswick Dam that were collected seasonally over three years (2017-2019).
Number of Records:207848
Number of Columns:3

Table Structure
Object Name:Keswick Reservoir Tw Profile Data 2017-19.csv
Size:5147240 bytes
Authentication:6d8beedec8e04390c9921c1a12534653 Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,

Table Column Descriptions
 
Column Name:Date_Time  
Depth_feet  
Temperature_Fahrenheit  
Definition:Date and time in every 30 minutesDepthMeasured temperature
Storage Type:date  
float  
float  
Measurement Type:dateTimeratioratio
Measurement Values Domain:
FormatMM/DD/YY hh:mm
Precision
Unitfoot
Typenatural
Min
Max70 
Unitfahrenheit
Typereal
Min48.85 
Max60.99 
Missing Value Code:      
Accuracy Report:      
Accuracy Assessment:      
Coverage:      
Methods:      

Non-Categorized Data Resource

Name:Keswick Reservoir Tw Monitoring 2017-2019.pdf
Entity Type:unknown
Description:Keswick Reservoir Tw Monitoring Methods
Physical Structure Description:
Object Name:Keswick Reservoir Tw Monitoring 2017-2019.pdf
Size:546629 bytes
Authentication:ce812da4e8f2908e8ee062c31c85b80e Calculated By MD5
Externally Defined Format:
Format Name:application/pdf
Data:https://pasta-s.lternet.edu/package/data/eml/edi/117/1/8dc7b0c07b73815efdc56c625e8137fc

Data Package Usage Rights

This data package is released to the "public domain" under Creative Commons CC0 1.0 "No Rights Reserved" (see: https://creativecommons.org/publicdomain/zero/1.0/). It is considered professional etiquette to provide attribution of the original work if this data package is shared in whole or by individual components. A generic citation is provided for this data package on the website https://portal.edirepository.org (herein "website") in the summary metadata page. Communication (and collaboration) with the creators of this data package is recommended to prevent duplicate research or publication. This data package (and its components) is made available "as is" and with no warranty of accuracy or fitness for use. The creators of this data package and the website shall not be liable for any damages resulting from misinterpretation or misuse of the data package or its components. Periodic updates of this data package may be available from the website. Thank you.

Keywords

By Thesaurus:
LTER Controlled Vocabularywater temperature
(No thesaurus)Keswick Reservoir, Sacramento River, Shasta Lake

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package
Description:

HOBO Water Temperature Pro v2 Data Logger (http://www.onsetcomp.com/products/data-loggers/u22-001) Onset Computer Corporation. (See “Keswick Reservoir Tw Monitoring 2017-2019.pdf” for detailed methods).

People and Organizations

Publishers:
Organization:Environmental Data Initiative
Email Address:
info@environmentaldatainitiative.org
Web Address:
https://environmentaldatainitiative.org
Creators:
Individual: Michael Deas
Organization:Watercourse
Email Address:
Mike.Deas@watercourseinc.com
Id:https://orcid.org/0000-0002-9859-8957
Contacts:
Individual: Michael Deas
Organization:Watercourse
Email Address:
Mike.Deas@watercourseinc.com
Id:https://orcid.org/0000-0002-9859-8957
Associated Parties:
Individual: Randi Field
Organization:USBR
Email Address:
RField@usbr.gov
Role:Project Manager
Individual: Greg Gotham
Organization:USBR
Email Address:
GGotham@usbr.gov
Role:Field Manager
Individual: Ibrahim E Sogutlugil
Organization:Watercourse
Email Address:
Ert.Sogutlugil@watercourseinc.com
Role:Engineer

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period
Begin:
2017-09-06
End:
2019-12-31
Sampling Site: 
Description:Temperature profile data was collected upstream of Keswick Dam
Site Coordinates:
Longitude (degree): -122.4455Latitude (degree): 40.6139

Project

Parent Project Information:

Title:Shasta Lake and Keswick Reservoir Flow and Temperature Modeling
Personnel:
Individual: Michael Deas
Organization:Watercourse
Email Address:
Mike.Deas@watercourseinc.com
Id:https://orcid.org/0000-0002-9859-8957
Role:Principal Investigator
Funding: Sacramento River Settlement Contactors

Maintenance

Maintenance:
Description:Ongoing: Periodic updates of these data are expected
Frequency:
Other Metadata

EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

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