Data Package Metadata   View Summary

A multi-instrument thermal profile of Edison Eastlake, a Phoenix, Arizona, USA neighborhood, on a summer day in 2019

General Information
Data Package:
Local Identifier:knb-lter-cap.701.1
Title:A multi-instrument thermal profile of Edison Eastlake, a Phoenix, Arizona, USA neighborhood, on a summer day in 2019
Alternate Identifier:DOI PLACE HOLDER
Abstract:
We have measured the thermal environment conditions of the Edison Eastlake neighborhood in Phoenix, AZ on a clear sky, hot, sunny day of June 19, 2019 to look at the neighborhood microclimate before construction began on the renovation of the public housing units in the community. Measurements were taken with a mobile bio-meteorological weather station, known as MaRTy (Middel & Krayenhoff, 2019), car traverses, four pole-mounted temperature/relative humidity sensors, and two rooftop mounted weather stations. Since the measurement campaign began, construction has been undertaken to redevelop the public housing stock in Edison Eastlake. ### references - Middel, A., & Krayenhoff, E. S. (2019). Micrometeorological determinants of pedestrian thermal exposure during record-breaking heat in Tempe, Arizona: Introducing the MaRTy observational platform. Science of The Total Environment, 687, 137–151. https://doi.org/10.1016/j.scitotenv.2019.06.085
Publication Date:2022-04-12
Language:english
For more information:
Visit: https://sustainability.asu.edu/caplter/data/data-catalog/view/knb-lter-cap.701.1/xml/
Visit: DOI PLACE HOLDER

Time Period
Begin:
2018-06-20
End:
2020-07-04

People and Organizations
Contact:Information Manager (Central Arizona–Phoenix LTER) [  email ]
Creator:Crank, Peter J (Singapore Management University)
Creator:Middel, Ariane (Arizona State University)
Creator:Hondula, David (Arizona State University)
Creator:Sailor, David J (Arizona State University)

Data Entities
Data Table Name:
701_edison_eastlake_car.csv
Description:
Location based bio-meteorological measurements from vehicular traverses at the Edison Eastlake neighborhood in Phoenix, AZ, USA, partially processed to allow comparison between measurement locations
Data Table Name:
701_edison_eastlake_marty.csv
Description:
Location based bio-meteorological measurements from MaRTy at the Edison Eastlake neighborhood in Phoenix, AZ, USA, partially processed to allow comparison between measurement locations
Data Table Name:
701_edison_eastlake_pole.csv
Description:
Location based bio-meteorological measurements from four electrical pole-mounted weather stations at the Edison Eastlake neighborhood in Phoenix, AZ, USA, partially processed to allow comparison between measurement locations.
Data Table Name:
701_edison_eastlake_roof.csv
Description:
Location based bio-meteorological measurements from two rooftop weather stations at the Edison Eastlake neighborhood in Phoenix, AZ, USA, partially processed to allow comparison between measurement locations
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-cap/701/1/8d9d1bf73f5c2604542db5c38ac7300f
Name:701_edison_eastlake_car.csv
Description:Location based bio-meteorological measurements from vehicular traverses at the Edison Eastlake neighborhood in Phoenix, AZ, USA, partially processed to allow comparison between measurement locations
Number of Records:7929
Number of Columns:6

Time Period
Begin:
2019-06-19
End:
2019-06-20

Table Structure
Object Name:701_edison_eastlake_car.csv
Size:584881 bytes
Authentication:e52ef9f7d880fe8f051712094e6e9c51 Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 
Column Name:DateTime_MST  
Latitude  
Longitude  
Altitude_m  
Speed_ms  
Heading_deg  
Definition:date and time of observationObservation latitude measured with Qstarz Q-1000XT BT-Q1000XT Bluetooth Data Logger GPS Receiver; height: 1.3m; accuracy: 3m; reacquisition time: less than 2sObservation longitude measured with Qstarz Q-1000XT BT-Q1000XT Bluetooth Data Logger GPS Receiver; height: 1.3m; accuracy: 3m; reacquisition time: less than 2sObservation altitude measured with Qstarz Q-1000XT BT-Q1000XT Bluetooth Data Logger GPS Receiver; height: 1.3m; accuracy: 3m; reacquisition time: less than 2sObservation speed measured with Qstarz Q-1000XT BT-Q1000XT Bluetooth Data Logger GPS Receiver; height: 1.3m; accuracy: 3m; reacquisition time: less than 2sObservation direction measured with Qstarz Q-1000XT BT-Q1000XT Bluetooth Data Logger GPS Receiver; height: 1.3m; accuracy: 3m; reacquisition time: less than 2s
Storage Type:date  
float  
float  
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Measurement Type:dateTimeratioratioratioratioratio
Measurement Values Domain:
FormatYYYY-MM-DD hh:mm:ss
Precision
Unitdegree
Typereal
Min33.452909 
Max33.458671 
Unitdegree
Typereal
Min-112.047609 
Max-112.038992 
Unitmeter
Typereal
Min150.006775 
Max315.496521 
UnitmeterPerSecond
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Max41.842911 
Unitdegree
Typereal
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Max359.998338 
Missing Value Code:            
Accuracy Report:            
Accuracy Assessment:            
Coverage:            
Methods:            

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-cap/701/1/1386847f515c8d5f0610894f55ae6e46
Name:701_edison_eastlake_marty.csv
Description:Location based bio-meteorological measurements from MaRTy at the Edison Eastlake neighborhood in Phoenix, AZ, USA, partially processed to allow comparison between measurement locations
Number of Records:6146
Number of Columns:22

Time Period
Begin:
2019-06-19
End:
2019-06-20

Table Structure
Object Name:701_edison_eastlake_marty.csv
Size:991898 bytes
Authentication:7e1ae25312d4ca1c0d777429ed7eb10d Calculated By MD5
Text Format:
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Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 
Column Name:DateTime_MST  
Latitude  
Longitude  
Altitude_m  
WindSpeed_ms  
WindDir_deg  
Tair_C  
RH_percent  
Tsfc_C  
MRT_C  
SR_left_Wm2  
SR_right_Wm2  
SR_front_Wm2  
SR_back_Wm2  
SR_up_Wm2  
SR_down_Wm2  
IR_left_Wm2  
IR_right_Wm2  
IR_front_Wm2  
IR_back_Wm2  
IR_up_Wm2  
IR_down_Wm2  
Definition:date and time of observationobservation latitude measured with GPS16X Garmin GPS; height: 1.5m; accuracy: less than 3m; reacquisition time: less than 2sobservation longitude measured with GPS16X Garmin GPS; height: 1.5m; accuracy: less than 3m; reacquisition time: less than 2sobservation altitude measured with GPS16X Garmin GPS; height: 1.5m; accuracy: less than 3m; reacquisition time: less than 2swind speed measured with Gill 2D WindSonic; height: 1.7 m; range: 0 to 60 m/s; accuracy +/- 2% at 12 m/s; response time: 0.25 secondswind direction measured with Gill 2D WindSonic; height: 1.7 m; range: 0 to 60 m/s; accuracy +/- 2% at 12 m/s; response time: 0.25 secondsAir temperature without detrending measured by Campbell Scientific EE181 Temperature and Relative Humidity Probe; height: 1.5 m; range: -40 to 60 c; accuracy: +/- 0.2 c at 23 c; sensor time constant [63% step change (1 m/s air flow at sensor)] is <= 22 srelative humidity measured by Campbell Scientific EE181 Temperature and Relative Humidity Probe; height: 1.5 m; range: 0 to 100%; accuracy: (1.4 + 0.01 * rh reading) % rh; sensor time constant [63% of a 35 to 80% rh step change (1 m/s air flow at sensor)] standard pe filter: ≤22 ssurface temperature derived from the infrared radiation measurement of the downward facing pyrgeometer (IR_down_Wm2) Mean radiant temperature without detrending derived value from 3-dimensional solar and infrared radiation observations (Thorsson et al. 2007; https://doi.org/10.1002/joc.1537)solar radiation from the left measured by Hukseflux NR01 Four-Component Net Radiation Sensor; height: 1.1 to 1.3 m; range: 0 to 2000 w/m2; accuracy: +/-10%; response time: 18 ssolar radiation from the right measured by Hukseflux NR01 Four-Component Net Radiation Sensor; height: 1.1 to 1.3 m; range: 0 to 2000 w/m2; accuracy: +/-10%; response time: 18 ssolar radiation from the front measured by Hukseflux NR01 Four-Component Net Radiation Sensor; height: 1.1 to 1.3 m; range: 0 to 2000 w/m2; accuracy: +/-10%; response time: 18 ssolar radiation from the back measured by Hukseflux NR01 Four-Component Net Radiation Sensor; height: 1.1 to 1.3 m; range: 0 to 2000 w/m2; accuracy: +/-10%; response time: 18 ssolar radiation from above measured by Hukseflux NR01 Four-Component Net Radiation Sensor; height: 1.1 to 1.3 m; range: 0 to 2000 w/m2; accuracy: +/-10%; response time: 18 ssolar radiation from below measured by Hukseflux NR01 Four-Component Net Radiation Sensor; height: 1.1 to 1.3 m; range: 0 to 2000 w/m2; accuracy: +/-10%; response time: 18 sinfrared radiation from the left measured by Hukseflux NR01 Four-Component Net Radiation Sensor and corrected for internal temperature; height: 1.1 to 1.3 m; range: 0 to 1000 w/m2; accuracy: +/-10%; response time: 18 sinfrared radiation from the right measured by Hukseflux NR01 Four-Component Net Radiation Sensor and corrected for internal temperature; height: 1.1 to 1.3 m; range: 0 to 1000 w/m2; accuracy: +/-10%; response time: 18 sinfrared radiation from the front measured by Hukseflux NR01 Four-Component Net Radiation Sensor and corrected for internal temperature; height: 1.1 to 1.3 m; range: 0 to 1000 w/m2; accuracy: +/-10%; response time: 18 sinfrared radiation from the back measured by Hukseflux NR01 Four-Component Net Radiation Sensor and corrected for internal temperature; height: 1.1 to 1.3 m; range: 0 to 1000 w/m2; accuracy: +/-10%; response time: 18 sinfrared radiation from above measured by Hukseflux NR01 Four-Component Net Radiation Sensor and corrected for internal temperature; height: 1.1 to 1.3 m; range: 0 to 1000 w/m2; accuracy: +/-10%; response time: 18 sinfrared radiation from below measured by Hukseflux NR01 Four-Component Net Radiation Sensor and corrected for internal temperature; height: 1.1 to 1.3 m; range: 0 to 1000 w/m2; accuracy: +/-10%; response time: 18 s
Storage Type:date  
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Measurement Type:dateTimeratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratio
Measurement Values Domain:
FormatYYYY-MM-DD hh:mm:ss
Precision
Unitdegree
Typereal
Min33.4529867 
Max33.45764 
Unitdegree
Typereal
Min-112.045455 
Max-112.0390383 
Unitdegree
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Min133 
Max718.4 
UnitmeterPerSecond
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Max5.44 
Unitdegree
Typewhole
Min
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Unitcelsius
Typereal
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Max39.11 
Unitpercent
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Max19.82 
Unitcelsius
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Max60.66 
Unitcelsius
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Max71.64 
UnitwattPerMeterSquared
Typereal
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UnitwattPerMeterSquared
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Max971 
UnitwattPerMeterSquared
Typereal
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UnitwattPerMeterSquared
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Max958 
UnitwattPerMeterSquared
Typereal
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Max1217 
UnitwattPerMeterSquared
Typereal
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Max263.1 
UnitwattPerMeterSquared
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Max72.19 
UnitwattPerMeterSquared
Typereal
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Max77.05 
UnitwattPerMeterSquared
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UnitwattPerMeterSquared
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Max74.69 
UnitwattPerMeterSquared
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UnitwattPerMeterSquared
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Max192.3 
Missing Value Code:  
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CodeNA
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Explmissing value
                               
Accuracy Report:                                            
Accuracy Assessment:                                            
Coverage:                                            
Methods:                                            

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-cap/701/1/a1841c44d163ba3b2ad5b87168890c5f
Name:701_edison_eastlake_pole.csv
Description:Location based bio-meteorological measurements from four electrical pole-mounted weather stations at the Edison Eastlake neighborhood in Phoenix, AZ, USA, partially processed to allow comparison between measurement locations.
Number of Records:142924
Number of Columns:6

Time Period
Begin:
2018-06-20
End:
2020-07-04

Table Structure
Object Name:701_edison_eastlake_pole.csv
Size:8370342 bytes
Authentication:e3dd4fe064182fdcd777fb8fa95a2fb9 Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 
Column Name:DateTime_MST  
Latitude  
Longitude  
Tair_C  
RH_percent  
DewPt_C  
Definition:date and time of observationobservation latitude measured with cell phone GPSobservation longitude measured with cell phone GPSair temperature without detrending measured by HOBO U23 Temperature and Relative Humidity Sensor; height: 3 m; range: -40 to 75 c; accuracy: ±0.2 degrees celsius over 0 to 50 degrees celsiusrelative humidity measured by HOBO U23 Temperature and Relative Humidity Sensor; height: 3 m; range: 0 to 100%; accuracy: ±2.5% from 10% to 90% RH (typical), to a maximum of ±3.5RHdew point temperature derived from the air temperature and relative humidity (Tair_C & RH_percent)
Storage Type:date  
float  
float  
float  
float  
float  
Measurement Type:dateTimeratioratioratioratioratio
Measurement Values Domain:
FormatYYYY-MM-DD hh:mm:ss
Precision
Unitdegree
Typereal
Min33.45271 
Max33.4554 
Unitdegree
Typereal
Min-112.046 
Max-112.039 
Unitcelsius
Typereal
Min-0.958 
Max64.79 
Unitpercent
Typereal
Min3.782 
Max97.278 
Unitcelsius
Typereal
Min-15.483 
Max24.172 
Missing Value Code:      
CodeNA
Explmissing value
CodeNA
Explmissing value
CodeNA
Explmissing value
Accuracy Report:            
Accuracy Assessment:            
Coverage:            
Methods:            

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-cap/701/1/19fc8502324e59ecc0371d00da26127c
Name:701_edison_eastlake_roof.csv
Description:Location based bio-meteorological measurements from two rooftop weather stations at the Edison Eastlake neighborhood in Phoenix, AZ, USA, partially processed to allow comparison between measurement locations
Number of Records:86376
Number of Columns:9

Time Period
Begin:
2019-02-01
End:
2019-07-01

Table Structure
Object Name:701_edison_eastlake_roof.csv
Size:5555972 bytes
Authentication:2de3424573d2938238136602d395b0b4 Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 
Column Name:DateTime_MST  
Latitude  
Longitude  
WindSpeed_ms  
WindDir_deg  
Tair_C  
RH_percent  
DewPt_C  
Dir_SWRad_Wm2  
Definition:date and time of observationobservation latitude measured with cell phone GPSobservation latitude measured with cell phone GPSwind speed measured with HOBO Anemometer (S-WSB); height: 1.8 m; range: 0 to 76 m/s; accuracy ±1.1 m/sec or ±4% of reading, whichever is greaterwind direction measured with HOBO wind vane (S-WDA); height: 1.8 m; range: 0-335 degree, 5 degree dead band; accuracy: ±5 degreeair temperature without detrending measured by HOBO S-THB Temperature and Relative Humidity Sensor; height: 1.5 m; range: -40 to 75 degrees celsius; accuracy: ±0.2 degrees celsius over 0 to 50 degrees celsiusrelative humidity measured by HOBO S-THB Temperature and Relative Humidity Sensor; height: 1.5 m; range: 0 to 100%; accuracy: ±2.5% from 10% to 90% RH (typical), to a maximum of ±3.5RHdew point temperature derived from the air temperature and relative humidity (Tair_C & RH_percent) solar radiation measured by HOBO pyranometer (S-LIB); height: 1.1 to 1.3 m; range: 0 to 1280 W/m2; typically within ±10 Wm-2 or ±5%, whichever is greater in sunlight; additional temperature induced error ±0.38 Wm-2/degrees celsius from 25 degrees celsius
Storage Type:date  
float  
float  
float  
float  
float  
float  
float  
float  
Measurement Type:dateTimeratioratioratioratioratioratioratioratio
Measurement Values Domain:
FormatYYYY-MM-DD hh:mm:ss
Precision
Unitdegree
Typereal
Min33.45544 
Max33.45544 
Unitdegree
Typereal
Min-112.047 
Max-112.047 
UnitmeterPerSecond
Typereal
Min
Max9.1 
Unitdegree
Typewhole
Min
Max358 
Unitcelsius
Typereal
Min1.37 
Max45.19 
Unitpercent
Typereal
Min6.1 
Max97.5 
Unitcelsius
Typereal
Min-9.95 
Max14.56 
UnitwattPerMeterSquared
Typenatural
Min
Max1241 
Missing Value Code:                  
Accuracy Report:                  
Accuracy Assessment:                  
Coverage:                  
Methods:                  

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/). The consumer of these data ("Data User" herein) has an ethical obligation to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or coauthorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is". The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.

Keywords

By Thesaurus:
LTER controlled vocabularyurban, microclimate
LTER core areasland use and land cover change, human-environment interactions, climate and heat
Creator Defined Keyword Setradiant, shade, urban climate, human-biometeorological cart, biometeorology
CAPLTER Keyword Set Listcap lter, cap, caplter, central arizona phoenix long term ecological research, arizona, az, arid land, marty

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:
We measured the thermal environment of the Edison Eastlake neighborhood by conducting traverses with a continuous measurement method with the mobile weather station, MaRTy (Middel & Krayenhoff, 2019) and a temperature traverse using a vehicle. The traverse measurements were supplemented by fixed measurements established on four electrical poles and two rooftops in the neighborhood. MaRTy is equipped with multiple sensors to simultaneously measure all physical variables relevant to the thermal environment: air temperature, humidity, wind speed, and radiant energy flux densities at two-second intervals, while tracking location. For detailed information about each sensor used, refer to the attribute metadata table or Middel & Krayenhoff, 2019. Mean radiant temperature (Tmrt) is calculated using the observations from three net radiometers that are positioned to capture shortwave and longwave radiation from all four cardinal directions, as well as above and below, accounting for the angular factors of a human body, but assuming default clothing characteristics (Thorsson et al., 2007). All locations of interest were measured within about one hour. The method and the data allow for the use of a linear detrending process that corrects air and mean radiant temperature based on air temperature changes within the hour at a given reference location. Location-based detrended results are more comparable and consider the temporal changes in air temperature (warming/cooling/stagnant) across the area within the transect hour. ### references: - Middel, A., & Krayenhoff, E. S. (2019). Micrometeorological determinants of pedestrian thermal exposure during record-breaking heat in Tempe, Arizona: Introducing the MaRTy observational platform. Science of The Total Environment, 687, 137–151. https://doi.org/10.1016/j.scitotenv.2019.06.085 - Thorsson, S., Lindberg, F., Eliasson, I., & Holmer, B. (2007). Different methods for estimating the mean radiant temperature in an outdoor urban setting. International Journal of Climatology, 27(14), 1983–1993. https://doi.org/10.1002/joc.1537

People and Organizations

Publishers:
Organization:Environmental Data Initiative
Email Address:
info@environmentaldatainitiative.org
Web Address:
https://environmentaldatainitiative.org
Id:https://ror.org/0330j0z60
Creators:
Individual: Peter J Crank
Organization:Singapore Management University
Email Address:
petercrank@smu.edu.sg
Id:https://orcid.org/0000-0001-6694-9268
Individual: Ariane Middel
Organization:Arizona State University
Email Address:
Ariane.Middel@asu.edu
Individual: David Hondula
Organization:Arizona State University
Email Address:
david.hondula@asu.edu
Id:https://orcid.org/0000-0003-2465-2671
Individual: David J Sailor
Organization:Arizona State University
Email Address:
dsailor@asu.edu
Id:https://orcid.org/0000-0003-1720-8214
Contacts:
Organization:Central Arizona–Phoenix LTER
Position:Information Manager
Address:
Arizona State University,
Global Institute of Sustainability and Innovation,
Tempe, AZ 85287-5402 USA
Email Address:
caplter.data@asu.edu
Web Address:
https://sustainability-innovation.asu.edu/caplter/
Metadata Providers:
Individual: Peter J Crank
Organization:Singapore Management University
Email Address:
petercrank@smu.edu.sg
Id:https://orcid.org/0000-0001-6694-9268

Temporal, Geographic and Taxonomic Coverage

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

Time Period
Begin:
2018-06-20
End:
2020-07-04
Geographic Region:
Description:Edison Eastlake Neighborhood adjacent to Interstate 10, west of central Phoenix, part of the CAP LTER study area of the greater Phoenix, Arizona (USA) metropolitan area and surrounding Sonoran desert region
Bounding Coordinates:
Northern:  33.4587Southern:  33.4527
Western:  -112.0476Eastern:  -112.039

Temporal, Geographic and/or Taxonomic information that applies to Data Table: 701_edison_eastlake_car.csv


Time Period
Begin:
2019-06-19
End:
2019-06-20

Temporal, Geographic and/or Taxonomic information that applies to Data Table: 701_edison_eastlake_marty.csv


Time Period
Begin:
2019-06-19
End:
2019-06-20

Temporal, Geographic and/or Taxonomic information that applies to Data Table: 701_edison_eastlake_pole.csv


Time Period
Begin:
2018-06-20
End:
2020-07-04

Temporal, Geographic and/or Taxonomic information that applies to Data Table: 701_edison_eastlake_roof.csv


Time Period
Begin:
2019-02-01
End:
2019-07-01

Project

Parent Project Information:

Title:Central Arizona–Phoenix Long-Term Ecological Research Project
Personnel:
Individual: Daniel Childers
Organization:Arizona State University
Email Address:
dan.childers@asu.edu
Id:https://orcid.org/0000-0003-3904-0803
Role:Principal Investigator
Individual: Nancy Grimm
Organization:Arizona State University
Email Address:
nbgrimm@asu.edu
Id:https://orcid.org/0000-0001-9374-660X
Role:Co-principal Investigator
Individual: Sharon Hall
Organization:Arizona State University
Email Address:
sharonjhall@asu.edu
Id:https://orcid.org/0000-0002-8859-6691
Role:Co-principal Investigator
Individual: Billie Turner II
Organization:Arizona State University
Email Address:
Billie.L.Turner@asu.edu
Id:https://orcid.org/0000-0002-6507-521X
Role:Co-principal Investigator
Individual: Abigail York
Organization:Arizona State University
Email Address:
Abigail.York@asu.edu
Id:https://orcid.org/0000-0002-2313-9262
Role:Co-principal Investigator
Abstract:Phase IV of the Central Arizona-Phoenix LTER (CAP) continues to focus on the question: How do the ecosystem services provided by urban ecological infrastructure (UEI) affect human outcomes and behavior, and how do human actions affect patterns of urban ecosystem structure and function and, ultimately, urban sustainability and resilience? The overarching goal is to foster social-ecological urban research aimed at understanding these complex systems using a holistic, ecology of cities perspective while contributing to an ecology for cities that enhances urban sustainability and resilience. This goal is being met through four broad programmatic objectives: (1) use long-term observations and datasets to articulate and answer new questions requiring a long-term perspective; (2) develop and use predictive models and future-looking scenarios to help answer research questions; (3) employ existing urban ecological theory while articulating new theory; and (4) build transdisciplinary partnerships to foster resilience and enhance sustainability in urban ecosystems while educating urban dwellers of all ages and experiences. CAP IV research is organized around eight interdisciplinary questions and ten long-term datasets and experiments, and researchers are organized into eight Interdisciplinary Research Themes to pursue these long-term research questions.
Funding: NSF Awards: CAP I: DEB-9714833, CAP II: DEB-0423704, CAP III: DEB-1026865, CAP IV: DEB-1832016
Additional Award Information:
Funder:National Science Foundation
Funder ID:https://ror.org/021nxhr62
Number:1832016
Title:LTER: CAP IV - Investigating urban ecology and sustainability through the lens of Urban Ecological Infrastructure
URL:https://nsf.gov/awardsearch/showAward?AWD_ID=1832016&HistoricalAwards=false

Maintenance

Maintenance:
Description:this dataset is complete and or updates are not anticipated
Frequency:notPlanned
Other Metadata

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

UNM logo UW-M logo