Data Package Metadata View Summary

Evaluation of stormwater urban ecological infrastructure in Phoenix, Arizona (USA): a case study of a small-scale bioretention basin system

General Information

Data Package:

Local Identifier:

knb-lter-cap.718.1

Title:

Evaluation of stormwater urban ecological infrastructure in Phoenix, Arizona (USA): a case study of a small-scale bioretention basin system

Alternate Identifier:

DOI PLACE HOLDER

Abstract:

In 2017, Arizona State University finished construction on a pedestrian mall central to its Tempe campus, which included a small-scale bioretention basin system for stormwater management. This study analyzed the flood control and water quality improvement performance of the small-scale bioretention basin system in the Phoenix Metropolitan Area, AZ USA. Flood control efficacy was quantified by calculating discharge from the basin system using water level loggers and measuring soil moisture levels using soil moisture probes. Stormwater runoff samples were collected for twenty-one storm events and analyzed for nitrogen and phosphorus constituent concentrations. Nutrient concentrations at the system inflow and outflow were used to determine percent change in concentration. Water quality improvement performance was compared to results from previous studies on bioretention basin system performance. These data were used to create relevant graphical figures. Results were obtained by performing statistical analysis calculations on the data measurements. The results indicated that the bioretention basin system performed adequately for flood control and water quality improvement, supporting the use of stormwater urban infrastructure systems in arid and semi-arid climates. Further research can reveal how these systems may perform during more severe storm events and offer improvements for future designs.

Publication Date:

2024-12-18

Language:

english

For more information:
Visit:	https://cap.lternet.edu
Visit:	DOI PLACE HOLDER

Time Period

Begin:

2019-08-01

End:

2023-05-01

People and Organizations
Contact:	Information Manager (Central Arizona–Phoenix LTER) [ email ]
Creator:	Tarr, Kayla (Arizona State University)
Associate:	Chester, Mikhail (Arizona State University, project advisor)
Associate:	Childers, Daniel (Arizona State University, project advisor)

Data Entities
Data Table Name:	718_soil_moisture.csv
Description:	soil water level measurements
Data Table Name:	718_water_level.csv
Description:	water level measurements at system outflow
Data Table Name:	718_water_quality.csv
Description:	concentration of nitrogen and phosphorus constiuents in stormwater runoff samples
Data Table Name:	718_storm_index.csv
Description:	precipitation amount, duration, and intensity for studied storms
Other Name:	718_site_map.png
Description:	schematic of study bioretention basins at Orange Mall on the Tempe campus of Arizona State University
Other Name:	718_study_design_schematic.png
Description:	schematic of study bioretention basins and measurement/equipment locations at Orange Mall on the Tempe campus of Arizona State University

Detailed Metadata

Data Entities

Data Table


Data:	https://pasta-s.lternet.edu/package/data/eml/knb-lter-cap/718/1/787ce390d18b532f2d4f0e78eee28bb9
Name:	718_soil_moisture.csv
Description:	soil water level measurements
Number of Records:	116320
Number of Columns:	4

Table Structure

Object Name:

718_soil_moisture.csv

Size:

4851915 bytes

Authentication:

7b2760e25b72df755f6ab6950950de39 Calculated By MD5

Text Format:

Number of Header Lines:

Record Delimiter:

\r\n

Orientation:

column

Simple Delimited:

Field Delimiter:	,
Quote Character:	"

Table Column Descriptions

Column Name:

datetime

probe1

probe2

probe3

Definition:

the date and time at which the measurement was taken

the water content of the soil measured at soil moisture probe 1

the water content of the soil measured at soil moisture probe 2

the water content of the soil measured at soil moisture probe 3

Storage Type:

date

float

Measurement Type:

dateTime

ratio

Measurement Values Domain:

Format	YYYY-MM-DD HH:MM:SS
Precision

Unit	M3-PER-M3
Type	real
Min	0.2746
Max	0.4022

Unit	M3-PER-M3
Type	real
Min	0.277
Max	0.4325

Unit	M3-PER-M3
Type	real
Min	0.3084
Max	0.4088

Missing Value Code:

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Data Table


Data:	https://pasta-s.lternet.edu/package/data/eml/knb-lter-cap/718/1/59448edc0053c70351c2ff5b229ccb68
Name:	718_water_level.csv
Description:	water level measurements at system outflow
Number of Records:	182392
Number of Columns:	10

Table Structure

Object Name:

718_water_level.csv

Size:

14802932 bytes

Authentication:

716fd5616aab67a292108f1dbebe5616 Calculated By MD5

Text Format:

Number of Header Lines:

Record Delimiter:

\r\n

Orientation:

column

Simple Delimited:

Field Delimiter:	,
Quote Character:	"

Table Column Descriptions

Column Name:

datetime

wl1_abspres_kPa

wl1_temp_C

wl1_stage_m

wl2_abspres_kPa

wl2_temp_C

wl2_stage_m

wl3_abspres_kPa

wl3_temp_C

wl3_stage_m

Definition:

the date and time at which the measurement was taken

the absolute pressure measured by water level logger probe 1

the temperature measured by water level logger probe 1

the water level measured at water level logger probe 1

the absolute pressure measured by water level logger probe 2

the temperature measured by water level logger probe 2

the water level measured at water level logger probe 2

the absolute pressure measured by water level logger probe 3

the temperature measured by water level logger probe 3

the water level measured at water level logger probe 3

Storage Type:

date

float

Measurement Type:

dateTime

ratio

Measurement Values Domain:

Format	YYYY-MM-DD HH:MM:SS
Precision

Unit	KiloPA
Type	real
Min	95.637
Max	98.973

Unit	DEG_C
Type	real
Min	6.064
Max	45.956

Unit	M
Type	real
Min	-0.144
Max	0.02

Unit	KiloPA
Type	real
Min	95.716
Max	99.001

Unit	DEG_C
Type	real
Min	6.674
Max	44.457

Unit	M
Type	real
Min	-0.096
Max	0.076

Unit	KiloPA
Type	real
Min	95.681
Max	100.762

Unit	DEG_C
Type	real
Min	7.381
Max	45.956

Unit	M
Type	real
Min	-0.32
Max	0.325

Missing Value Code:

Code	NA
Expl	missing value

Code	NA
Expl	missing value

Code	NA
Expl	missing value

Code	NA
Expl	missing value

Code	NA
Expl	missing value

Code	NA
Expl	missing value

Code	NA
Expl	missing value

Code	NA
Expl	missing value

Code	NA
Expl	missing value

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Data Table

Data:

https://pasta-s.lternet.edu/package/data/eml/knb-lter-cap/718/1/5278ea5bcaaa027342e0f220db76806c

Name:

718_water_quality.csv

Description:

concentration of nitrogen and phosphorus constiuents in stormwater runoff samples

Number of Records:

758

Number of Columns:

Time Period

Begin:

2019-09-23

End:

2022-10-15

Table Structure

Object Name:

718_water_quality.csv

Size:

59763 bytes

Authentication:

c9cc58a12053975f23218101e770d1da Calculated By MD5

Text Format:

Number of Header Lines:

Record Delimiter:

\r\n

Orientation:

column

Simple Delimited:

Field Delimiter:	,
Quote Character:	"

Table Column Descriptions

Column Name:

storm_id

date

sample_id

sample_seq

timestep

isco

tn_mgL

tp_mgL

no2_mgL

no3_mgL

nh4_mgL

po4_ugL

Definition:

the order in which the storm occurred during the study period

the date on which the storm occurred

the instrument that collected the sample and the order that the sample was collected during the storm period

the order that the sample was collected within the storm event

the time from the beginning of the storm at which the sample was collected

the location in the study site where the sample was collected

the concentration of total nitrogen in the sample

the concentration of total phosphorus in the sample

the concentration of nitrite in the sample

the concentration of nitrate in the sample

the concentration of ammonia in the sample

the concentration of phosphate in the sample

Storage Type:

string

date

string

float

string

float

Measurement Type:

nominal

dateTime

nominal

ratio

nominal

ratio

Measurement Values Domain:

Definition

the order in which the storm occurred during the study period

Format	YYYY-MM-DD
Precision

Definition

the instrument that collected the sample and the order that the sample was collected during the storm period

Definition

the order that the sample was collected within the storm event

Unit	MIN
Type	natural
Min	5
Max	360

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	east_inflow
Definition	east_inflow
Source

Code Definition

Code	east_mid
Definition	east_mid
Source

Code Definition

Code	east_outflow
Definition	east_outflow
Source

Code Definition

Code	west_inflow
Definition	west_inflow
Source

Code Definition

Code	west_outflow
Definition	west_outflow
Source

Unit	MilliGM-PER-L
Type	real
Min	0.39
Max	18.498

Unit	MilliGM-PER-L
Type	real
Min	-0.018
Max	1.794

Unit	MilliGM-PER-L
Type	real
Min	-0.0216
Max	2.32

Unit	MilliGM-PER-L
Type	real
Min	-0.115
Max	9.97

Unit	MilliGM-PER-L
Type	real
Min	-0.064
Max	3.22

Unit	MicroGM-PER-L
Type	real
Min	1.1
Max	595

Missing Value Code:

Code	NA
Expl	missing value

Code	NA
Expl	missing value

Code	NA
Expl	missing value

Code	NA
Expl	missing value

Code	NA
Expl	missing value

Code	NA
Expl	missing value

Code	NA
Expl	missing value

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Data Table

Data:

https://pasta-s.lternet.edu/package/data/eml/knb-lter-cap/718/1/9b4b410544b7d550fff63a53c8a97f93

Name:

718_storm_index.csv

Description:

precipitation amount, duration, and intensity for studied storms

Number of Records:

Number of Columns:

Time Period

Begin:

2019-09-23

End:

2022-10-16

Table Structure

Object Name:

718_storm_index.csv

Size:

1149 bytes

Authentication:

4e22d043b41a00886bc3a5b201c81cd4 Calculated By MD5

Text Format:

Number of Header Lines:

Record Delimiter:

\r\n

Orientation:

column

Simple Delimited:

Field Delimiter:	,
Quote Character:	"

Table Column Descriptions

Column Name:

storm_id

date

total_precip_mm

duration_h

intensity_mm_h

Definition:

the order in which the storm occurred during the study period

the date on which the storm occurred

the total amount of precipitation that occurred during the storm

the total length of the storm

the total precipitation intensity of the storm

Storage Type:

string

float

Measurement Type:

nominal

ratio

Measurement Values Domain:

Definition

the order in which the storm occurred during the study period

Definition

the date on which the storm occurred

Unit	MilliM
Type	real
Min	2.54
Max	23.622

Unit	HR
Type	real
Min	0.5
Max	7

Unit	MilliL-PER-HR
Type	real
Min	1.9231429
Max	24.892

Missing Value Code:

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Non-Categorized Data Resource

Name:

718_site_map.png

Entity Type:

png

Description:

schematic of study bioretention basins at Orange Mall on the Tempe campus of Arizona State University

Physical Structure Description:

Object Name:

718_site_map.png

Size:

188851 byte

Authentication:

5fb7b8d53d48010eab1a2e73db7f1941 Calculated By MD5

Externally Defined Format:

Format Name:

png

Data:

https://pasta-s.lternet.edu/package/data/eml/knb-lter-cap/718/1/d0480e08b3ac50ab1b9bcf721949e3d5

Non-Categorized Data Resource

Name:

718_study_design_schematic.png

Entity Type:

png

Description:

schematic of study bioretention basins and measurement/equipment locations at Orange Mall on the Tempe campus of Arizona State University

Physical Structure Description:

Object Name:

718_study_design_schematic.png

Size:

254246 byte

Authentication:

172104b5be7b33ee33e7075af58e9ea6 Calculated By MD5

Externally Defined Format:

Format Name:

png

Data:

https://pasta-s.lternet.edu/package/data/eml/knb-lter-cap/718/1/36b1fd1a3b6f9e82a9ee1437e6c956f3

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:
CAP LTER IRT	adapting to city life, ecosystem structure and functioning, urban climate and air quality
CAPLTER Keyword Set List	arid land, arizona, az, cap, cap lter, caplter, central arizona phoenix long term ecological research
LTER Controlled Vocabulary	dataloggers, deserts, drainage, hydrology, nitrogen, nitrogen flux, nutrient cycles, phosphorus, precipitation, soil water content, stage height, urban, water quality
LTER controlled vocabulary	urban
LTER core areas	land use and land cover change, movement of inorganic matter

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:

Data collection followed methods detailed in Hale et. al. (2014), Hale et. al. (2015), and Sanchez (2019), following standard protocols of the Central Arizona-Phoenix Long-Term Ecological Research Program (CAP LTER) for stormwater research (see DOI:10.6073/pasta/e864c0dd4ff09fb20d6c8b14def6b798 for metadata). In Spring 2018, five ISCO 6712 automated pump samplers were installed throughout OM, located adjacent to the sampled basins (REFERENCE DATA OBJECT WHEN WE GET OR CONFIRM WITH TARA). We programmed these samplers to automatically activate when at least 3 centimeters of water was detected in the adjacent basin by water detectors connected to the samplers. During all storm events producing runoff, we collected nine 750 mL samples at non-uniform intervals, with the first sample collected at 5 minutes after inundation, followed by samples collected at 15, 30, 45, 60, 120, 180, 240, and 300 minutes. The ISCO samplers collected more frequently at the beginning of the storms to capture the initial flushing of the events (Hale et al. 2014; Sanchez, 2019). We analyzed samples for nitrite (NO2-), nitrate (NO3-), phosphate (PO4-), ammonium (NH4+), total nitrogen (TN), and total phosphorus (TP) concentrations. We performed TN analysis using a Shimadzu TOC-VC/TN analyzer with a detection limit of 0.04 mg TN L-1. We filtered subsamples for dissolved constituents through ashed Whatman GF/F 47 µm filters. The TP samples were digested using sulfuric acid and persulfate and diluted before analysis. We analyzed the remaining nutrient samples (NO2-, NO3-, NH4+, TP, PO4) using a Lachat Quick Chem 8000 Flow Injection analyzer with a detection limit of 0.85 μg NO3-N L-1 and 3.01 μg NH4-N L-1. To measure the volume of water leaving the basins, we installed ONSET HOBO U20L water level probes in 90-degree V-notched weirs at three locations on the project site where outflow occurs (REFERENCE DATA OBJECT WHEN WE GET OR CONFIRM WITH TARA). We downloaded absolute pressure and temperature data from these probes every 70 days and converted raw values to water level using ONSET HOBOware (version 3.7.15, ONSET, Bourne, MA). Using these water level data, we calculated discharge rates through the V-notched weirs using the equation: Q = 2.49h12.48, where Q is the flow rate in m3/s and hl is the hydraulic head behind the weirs in m. Although these data indicated how much runoff was exiting the basin system, we were unable to calculate nutrient fluxes or budgets for the system because inflow values were unavailable because the system received stormwater runoff drainage from curb cuts, buildings, and roads. We obtained daily rainfall data from the Maricopa County Flood Control District database, using Rain Gage Station ID: 67500 – ASU South, located approximately 1 mile SSW of OM. We also placed three ONSET 10HS soil moisture smart sensor probes in two of the east basins to measure soil moisture at one-minute intervals throughout the study period (REFERENCE DATA OBJECT WHEN WE GET OR CONFIRM WITH TARA). We downloaded these soil moisture data every 180 days using ONSET HOBOware. We compared data from two winter storms and one summer storm to understand the role of the soils in water retention. ### literature cited Sanchez (2019) -- thesis? - Hale, R. L., L. Turnbull, S. Earl, N. Grimm, K. Riha, G. Michalski, K. A. Lohse and D. Childers. 2014. Sources and transport of nitrogen in arid urban watersheds. Environmental Science & Technology 48(11):6211–6219. DOI: 10.1021/es501039t. - Hale, R. L., L. J. Turnbull, S. R. Earl, D. L. Childers and N. B. Grimm. 2015. Stormwater infrastructure controls runoff and dissolved material export from arid urban watersheds. Ecosystems 18(1):62-75. DOI: 10.1007/s10021-014-9812-2. - Sanchez, C. 2019. Designing and Implementing Ecological Monitoring of Aridland Urban Ecological Infrastructure (UEI): A Case-Study of Design Process and Outcomes. ASU Electronic Theses and Dissertations. https://hdl.handle.net/2286/R.I.53686.

Description:

This method step describes provenance-based metadata as specified in the LTER EML Best Practices.

This provenance metadata does not contain entity specific information.

Data Source

Ecohydrological monitoring of urban ecological infrastructure at the Arizona State University Tempe Campus (Tempe, Arizona)

People and Organizations

Publishers:

Organization:

Environmental Data Initiative

Email Address:

info@edirepository.org

Web Address:

https://edirepository.org

Id:

https://ror.org/0330j0z60

Creators:

Individual:

Kayla Tarr

Organization:

Arizona State University

Email Address:

ktarr1@asu.edu

Id:

https://orcid.org/0009-0009-8371-5661

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/

Id:

https://ror.org/020zjmd13

Associated Parties:

Individual:

Mikhail Chester

Organization:

Arizona State University

Email Address:

mchester@asu.edu

Id:

https://orcid.org/0000-0002-9354-2102

Role:

project advisor

Individual:

Daniel Childers

Organization:

Arizona State University

Email Address:

dan.childers@asu.edu

Id:

https://orcid.org/0000-0003-3904-0803

Role:

project advisor

Temporal, Geographic and Taxonomic Coverage

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

Time Period

Begin:

2019-08-01

End:

2023-05-01

Geographic Region:

Description:

CAP LTER study area: greater Phoenix, Arizona (USA) metropolitan area and surrounding Sonoran desert region

Bounding Coordinates:

Northern:	34.01	Southern:	32.909999999999997
Western:	-113.34	Eastern:	-111.59

Taxonomic Range:

Classification:

Rank Name:

Species

Temporal, Geographic and/or Taxonomic information that applies to Data Table: 718_water_quality.csv

Time Period

Begin:

2019-09-23

End:

2022-10-15

Temporal, Geographic and/or Taxonomic information that applies to Data Table: 718_storm_index.csv

Time Period

Begin:

2019-09-23

End:

2022-10-16

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 J 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:

Humankind is increasingly an urban species and urban ecosystems are therefore profoundly important. Cities are concentrated consumers of energy and resources and producers of various wastes, but they are also centers of social networks, innovation, efficiency, and solutions. The Central Arizona?Phoenix Long Term Ecological Research program (CAP V) is a research project that includes scientists from a variety of disciplines focused on understanding cities as hybrid ecosystems including both environmental and human components, and their interactions. Understanding urban ecosystems remains the central focus of CAP V after 25 years of innovative research. The interconnectedness of human motivation, behavior, actions, and outcomes with urban ecosystem structure and function leads to a fundamental question addressed by this project. How have/are human-environment interactions mediated by urban ecological infrastructure to shape past, present, and future ecosystem functions? This project will further indicate how we can use knowledge of these relationships to inform more just, transformative, and sustainable futures. Broader societal impacts are intentionally integrated in CAP V research, with many activities involving explicit partnerships with practitioners and communities that historically have had little voice in the future of their city and environment. This work forms a translational link among social-ecological research outcomes, city institutions, and communities with the goal of ultimately making Phoenix, and cities in general, better and more sustainable places to live. CAP research will extend its focus on the theory of Urban Ecological Infrastructure (UEI) as a critical bridge between the system?s biophysical and human/social domains. CAP researchers will continue to explore interdisciplinary urban ecology in residential landscapes, urban waterbodies, desert parks and preserves, while examining the plants, animals, climate, urban design and governance across the metropolitan Phoenix region. New research initiatives will include a focus on environmental justice and equity, as well as urban air quality. The research will develop both knowledge and solutions in underserved and historically neglected communities, including local Indigenous communities. CAP V research is organized around five interdisciplinary areas: 1) ecosystem structure and function and biogeochemical cycling; 2) adaptation and eco-evolutionary dynamics; 3) urban climate, and air quality; 4) urban nature and human perceptions, decisions, and wellbeing; and 5) environmental justice, governance, and transformative futures. Investigating these questions, in the context of the previous 25 years of CAP research, will guide the CAP research endeavor towards more sustainable and resilient futures for U.S. cities and for our increasingly urban society. This award is jointly funded by the Division of Environmental Biology and the Division of Behavioral and Cognitive Sciences. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Funding:

NSF Awards: CAP I: DEB-9714833, CAP II: DEB-0423704, CAP III: DEB-1026865, CAP IV: DEB-1832016, CAP V: DEB-2224662

Additional Award Information:

Funder:

National Science Foundation

Funder ID:

https://ror.org/021nxhr62

Number:

2224662

Title:

LTER: CAP V: Investigating how relationships between urban ecological infrastructure and human-environment interactions shape the structure and function of urban ecosystems

URL:

https://www.nsf.gov/awardsearch/showAward?AWD_ID=2224662&HistoricalAwards=false

Maintenance

Maintenance:

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

Other Metadata

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'unitList'
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |        \___attribute 'id' = 'M3-PER-M3'
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |        \___attribute 'id' = 'M'
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |        \___attribute 'id' = 'KiloPA'
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |        \___attribute 'id' = 'DEG_C'
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |        \___attribute 'id' = 'MilliGM-PER-L'
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |        \___attribute 'id' = 'MicroGM-PER-L'
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |        \___attribute 'id' = 'MIN'
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |        \___attribute 'id' = 'MilliM'
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |        \___attribute 'id' = 'HR'
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |        \___attribute 'id' = 'MilliL-PER-HR'
        |     |     |___text '\n         '
        |     |___text '\n      '
        |___text '\n   '

Copyright 2024 Environmental Data Initiative. This material is based upon work supported by the National Science Foundation under grants #2223103 and #2223104. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Please contact us with questions, comments, or for technical assistance regarding this web site or the Environmental Data Initiative. Please read our privacy policy to know what information we collect about you and to understand your privacy rights.

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

Data Package Metadata View Summary

Evaluation of stormwater urban ecological infrastructure in Phoenix, Arizona (USA): a case study of a small-scale bioretention basin system

Data Entities

Data Table

Data Table

Data Table

Data Table

Non-Categorized Data Resource

Non-Categorized Data Resource

Data Package Usage Rights

Keywords

Methods and Protocols

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

People and Organizations

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to Data Table: 718_water_quality.csv

Temporal, Geographic and/or Taxonomic information that applies to Data Table: 718_storm_index.csv

Project

Parent Project Information:

Maintenance

Additional Metadata

Recently Added

Recently Updated

Data Package Metadata View Summary

Evaluation of stormwater urban ecological infrastructure in Phoenix, Arizona (USA): a case study of a small-scale bioretention basin system

+/- Data Entities

Data Table

Data Table

Data Table

Data Table

Non-Categorized Data Resource

Non-Categorized Data Resource

+/- Data Package Usage Rights

+/- Keywords

+/- Methods and Protocols

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

+/- People and Organizations

+/- Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to Data Table: 718_water_quality.csv

Temporal, Geographic and/or Taxonomic information that applies to Data Table: 718_storm_index.csv

+/- Project

Parent Project Information:

+/- Maintenance

+/- Additional Metadata

Data Entities

Data Package Usage Rights

Keywords

Methods and Protocols

People and Organizations

Temporal, Geographic and Taxonomic Coverage

Project

Maintenance

Additional Metadata