Data Package Metadata View Summary

Dataset and analyses for publication entitled: “Acclimation of the nitrogen cycle to changes in precipitation”

General Information

Data Package:

Local Identifier:

knb-lter-jrn.210586002.1

Title:

Dataset and analyses for publication entitled: “Acclimation of the nitrogen cycle to changes in precipitation”

Alternate Identifier:

DOI PLACE HOLDER

Abstract:

As the frequency of precipitation extremes are expected to increase, especially in arid regions, we asked how prolonged shifts in water availability facilitate acclimation of the N cycle in a semiarid grassland. Using natural abundances of stable nitrogen isotopes for dominant plants and soils and rainfall manipulation experiments, we tested the hypothesis that N cycling will interact with water availability further amplifying the openness of the N cycle through time. For the dominant plant species, we found the relationship for N availability vs. ambient annual precipitation to be significantly positive, contrary to global spatial models. We also considered the temporal dynamics of our experiments, which imposed directional rainfall manipulations in duration ranging from 5 to 14 years. The slopes of these relationships decreased (became less positive) with more time since the onset of the directional precipitation extremes. These data and metadata supplement long-term foliar and soil isotope data from the Jornada LTER [https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-jrn&identifier=210586001] with a large spatial dataset from NEON data package DP1.10026.001 and Craine et al. 2018 [https://doi.org/10.5061/dryad.v2k2607].

Short Name:

gc_isotope_N_acclimation_pub

Publication Date:

2023-06-25

Language:

English

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

Time Period

Begin:

2011-06-01

End:

2020-09-30

People and Organizations
Contact:	Information Manager (Jornada Basin LTER) [ email ]
Creator:	Currier, Courtney (Arizona State University)
Creator:	Sala, Osvaldo E (Arizona State University)
Creator:	Reichmann, Lara (Arizona State University)
Associate:	Sutter, Bryce (Arizona State University, technician)

Data Entities
Data Table Name:	Continental-scale spatial isotope data
Description:	Main spatial isotope data derived from NEON data package DP1.10026.001 and Craine et al. (https://doi.org/10.5061/dryad.v2k2607), supplemented by cover type derived from The Terra and Aqua combined Moderate Resolution Imaging Spectroradiometer (MODIS) Land Cover Type (MCD12Q1) Version 6 (https://doi.org/10.5067/MODIS/MCD12Q1.006)
Other Name:	Script for spatial isotope dataset cleaning
Description:	An R Markdown script for cleaning and merging the spatial datasets (including NEON data package DP1.10026.001, Craine et al. (https://doi.org/10.5061/dryad.v2k2607), and MODIS data). See Methods element for additional information.
Other Name:	Script for statistical analyses and figure production.
Description:	An R Markdown script for statistical analyses and production of figures included in the journal article “Acclimation of the nitrogen cycle to changes in precipitation.”

Detailed Metadata

Data Entities

Data Table


Data:	https://pasta-s.lternet.edu/package/data/eml/knb-lter-jrn/210586002/1/f1a253d01d6bcfd452ef53d5ca108e4c
Name:	Continental-scale spatial isotope data
Description:	Main spatial isotope data derived from NEON data package DP1.10026.001 and Craine et al. (https://doi.org/10.5061/dryad.v2k2607), supplemented by cover type derived from The Terra and Aqua combined Moderate Resolution Imaging Spectroradiometer (MODIS) Land Cover Type (MCD12Q1) Version 6 (https://doi.org/10.5067/MODIS/MCD12Q1.006)
Number of Records:	47227
Number of Columns:	19

Table Structure

Object Name:

jrn586002_spatial_isotopes_20220324.csv

Size:

6688250 byte

Authentication:

16675b82ca9ac93b9a4092890b19b499 Calculated By MD5

Text Format:

Number of Header Lines:

Number of Foot Lines:

Record Delimiter:

Orientation:

column

Simple Delimited:

Field Delimiter:	,
Quote Character:	"

Table Column Descriptions

Latitude

Longitude

Site identifier

Plant taxon

d13C ratio

d15N ratio

Weight percent N

Weight percent C

C:N ratio

Mean annual temperature

Mean annual precipitation

Data source

Year

Continent

Publication

Set

Cover value

Cover types

Lat/Long ID

Column Name:

latitude

longitude

siteID

plant

d13CvVPDB

d15NvAir

Wt_pct_N

Wt_pct_C

CN_ratio

MAT

precip_mm

data_source

year

continent

publication

set

cover_value

cover_types

latlong_round

Definition:

Site latitude

Site longitude

Unique site ID, assigned by Craine et al. or by NEON

Genus and species, when available

Stable carbon isotope ratio, normalized by internal standards and standardized to VPDB

Stable nitrogen isotope ratio, normalized by internal standards and standardized to Air

%N by sample weight

%C by sample weight

Molar C:N ratio

Site mean annual temperature

Site mean annual precipitation

Either Craine dataset or NEON appended data

Year data were collected (fractional)

Continent where data were collected

Publication from which data were derived (refer to Craine et al. metadata)

Publication or dataset from which data were derived (refer to Craine et al. metadata)

Cover types identified by unique numeric value, 1-17; derived from the Terra and Aqua combined Moderate Resolution Imaging Spectroradiometer (MODIS) Land Cover Type (MCD12Q1) Version 6

Descriptive cover type

Rounded, combined latitude and longitude (a unique location identifier)

Storage Type:

float

string

float

string

float

string

integer

string

integer

string

Measurement Type:

ratio

nominal

ratio

nominal

ratio

nominal

interval

nominal

interval

nominal

Measurement Values Domain:

Unit	degree
Type	real

Unit	degree
Type	real

Definition

integer or string identifier

Definition

binomial name string

Unit	permil
Type	real

Unit	permil
Type	real

Unit	percent
Type	real

Unit	percent
Type	real

Unit	dimensionless
Type	real

Unit	celsius
Type	real

Unit	millimeter
Type	real

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	Craine
Definition	Craine et al. 2015 dataset (https://doi.org/10.1038/srep08280)
Source

Code Definition

Code	NEON
Definition	NEON dataset DP1.10026.001 (Plant traits)
Source

Unit	fractionalYear
Type	real

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	Asia
Definition	Asia
Source

Code Definition

Code	North America
Definition	North America
Source

Code Definition

Code	South America
Definition	South America
Source

Code Definition

Code	Australia
Definition	Australia
Source

Code Definition

Code	Europe
Definition	Europe
Source

Code Definition

Code	Africa
Definition	Africa
Source

Unit	number
Type	integer

Definition

publication name string

Unit	number
Type	integer

Definition

cover description string

Definition

site identifier string

Missing Value Code:

Code	NA
Expl	Missing value - data not collected or otherwise unavailable

Code	NA
Expl	Missing value - data not collected or otherwise unavailable

Code	NA
Expl	Missing value - data not collected or otherwise unavailable

Code	NA
Expl	Missing value - data not collected or otherwise unavailable

Code	NA
Expl	Missing value - data not collected or otherwise unavailable

Code	NA
Expl	Missing value - data not collected or otherwise unavailable

Code	NA
Expl	Missing value - data not collected or otherwise unavailable

Code	NA
Expl	Missing value - data not collected or otherwise unavailable

Code	NA
Expl	Missing value - data not collected or otherwise unavailable

Code	NA
Expl	Missing value - data not collected or otherwise unavailable

Code	NA
Expl	Missing value - data not collected or otherwise unavailable

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Non-Categorized Data Resource

Name:

Script for spatial isotope dataset cleaning

Entity Type:

otherEntity

Description:

An R Markdown script for cleaning and merging the spatial datasets (including NEON data package DP1.10026.001, Craine et al. (https://doi.org/10.5061/dryad.v2k2607), and MODIS data). See Methods element for additional information.

Physical Structure Description:

Object Name:

01_data_cleaning_spatial_isotopes_20220224.Rmd

Size:

7594 byte

Authentication:

dfd633b2602fc2c11a2520fc5f8d04b2 Calculated By MD5

Externally Defined Format:

Format Name:

text/markdown

Data:

https://pasta-s.lternet.edu/package/data/eml/knb-lter-jrn/210586002/1/24fb47393418d13b2149cbbefdfbd59f

Non-Categorized Data Resource

Name:

Script for statistical analyses and figure production.

Entity Type:

otherEntity

Description:

An R Markdown script for statistical analyses and production of figures included in the journal article “Acclimation of the nitrogen cycle to changes in precipitation.”

Physical Structure Description:

Object Name:

02_isotopes_analysesFigs_pubVersion_20230401.Rmd

Size:

59527 byte

Authentication:

a15b489e6f6b81b850dcf4e11161298f Calculated By MD5

Externally Defined Format:

Format Name:

text/markdown

Data:

https://pasta-s.lternet.edu/package/data/eml/knb-lter-jrn/210586002/1/7b958d4efc2dda459334b8af0545955c

Data Package Usage Rights

This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required 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 co-authorship 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 Core Research Areas	inorganic nutrients, organic matter
LTER Controlled Vocabulary v1	grasslands, nitrogen, nutrient cycling, plants, precipitation, soil, stable isotopes
none	dryland
Jornada Basin project names	LTREB global change, study 586
Jornada Basin place names	Pasture 13

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 overview To elucidate differences between patterns in δ15N across space versus one site through time, we used two complementary approaches. To build our spatial explanatory regressions, global foliar δ15N were obtained from the dataset available from (Craine et al. 2018, 2019), consisting of over 43,000 samples spanning all continents except Antarctica and acquired from 258 datasets over 128 unique years (between 1876-2017). The temporal component of this study was conducted at the Jornada Basin Long Term Ecological Research (LTER) site (32.56 latitude, -106.78 longitude; Las Cruces, NM, USA). Rainfall manipulation treatments commenced in multiple years and spanned a range of experimental durations at the time of field sampling, from 4 years to 14 years (Table S1). We present multiple years and time durations of rainfall manipulations within one site and categorize this portion of our analyses as "temporal" as a means to distinguish the nature of these data compared to the single-time point samples in the global, spatial dataset. We recognize that foliar δ15N provides limited interpretation compared to whole-plant δ15N values, given that differential fractionation may occur within plant stems and roots during assimilation. Nevertheless, the results presented here match global studies and therefore are generalizable. ## Synthesis of spatial relationships All spatial isotope data were pooled, regardless of plant functional type. Craine et al. assigned mean annual precipitation (MAP) and mean annual temperature (MAT) to each data point based on geographic location from (New et al. 2002). In addition, we included foliar isotope data made available from the National Ecological Observatory Network (NEON; data product ID DP1.10026.001) (NEON [National Ecological Observatory Network] 2022) across North America over 6 years (2016–2021). Climate data were obtained from the NEON field site metadata (NEON [National Ecological Observatory Network] 2022), available on the Field Sites webpage. Isotopic data were then site-averaged according to the latitude and longitude rounded to the nearest tenth decimal place. Site-averaged foliar δ15N for the global spatial dataset were then regressed against mean annual precipitation and mean annual temperature using multiple linear regression: * δ15N ~ precipitation (eq. 1) * δ15N ~ temperature (eq. 2) * δ15N ~ precipitation + temperature (eq. 3) * δ15N ~ precipitation + temperature + precipitation*temperature (eq. 4) Some continents exhibited mean annual precipitation values that were not normally distributed (i.e., Australia). Thus, the above regressions were also conducted using ln(precipitation): * δ15N ~ precipitation (eq. 5) * δ15N ~ ln(precipitation) + temperature (eq. 6) * δ15N ~ ln(precipitation) + temperature + ln(precipitation)*temperature (eq. 7) The best global model was then selected using Akaike Information Criteria (Sakamoto et al. 1986); models that met our criteria had the lowest AIC with ΔAIC > 2, otherwise the most parsimonious model was selected. The two models with the lowest AIC for global spatial analyses were then compared for continental-level analyses (eqs. 4 and 7). Additionally, we chose these models for comparison as they provided the most comprehensive climatic explanation for potential changes in δ15N. All spatial statistical analyses were performed in R version 4.2.2 (Team 2013). Regression assumptions were tested and met for all analyses. ## Study site description, experimental design, and stable isotope analyses The Jornada LTER study site description, experimental design, and isotopic analyses for this temporal dataset are described in EDI package 210586001. ## Statistical analyses of temporal data To assess the response of δ15N to natural interannual variability in precipitation, within the Jornada Basin LTER data set, we analyzed site-level control plots across our study site that were not parsed temporally using a linear mixed effects model in the lme4 package (Bates et al. 2014): * δ15N ~ precipitation + (1 | experiment / plot) + (1 | year sampled) (eq. 9) For temporally parsed statistics with the Jornada Basin LTER dataset, which included rainfall treatments. We did not include temperature because it was a relatively constant during the study period and at our study site (Currier and Sala 2022). It is worthy to note that the random effect variances were estimated as zero for these analyses. Nonetheless, we felt that it was important to retain the random effect terms (year and plots within each experiment) to reflect the semi-repeated sampling and blocked nature of our experimental design. Bolker et al. (2009) affirm that in cases like this, the results remain unchanged and the random effect parameters may be retained. Finally, rates of acclimation for changes in δ15N versus precipitation through time at the Jornada Basin LTER were calculated by estimating the time until each temporal slope would match the global and individual continental slopes of δ15N versus precipitation (derived from equations 5 and 8): * slopespatial ~ slopeJRN*timeyears + interceptJRN (eq. 10) All temporal statistical analyses were performed in R version 4.2.2 (Team 2013). Regression assumptions were tested for all analyses. In the case for the temporal soil analyses, the dependent variable (δ15N) exhibited some non-normality, which was not rectified through transformation. Nevertheless, the residuals of all soil models were tested for and exhibited normality. ## Data provenance

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

Long-term climate indices (SPEI and scPDSI) derived from monthly meteorology data collected at USHCN stations in the northern Chihuahuan Desert of the United States, 1911-2021

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:	Courtney Currier
Organization:	Arizona State University
Id:	https://orcid.org/0000-0002-7617-239X

Individual:	Osvaldo E Sala
Organization:	Arizona State University
Id:	https://orcid.org/0000-0003-0142-9450

Individual:	Lara Reichmann
Organization:	Arizona State University
Id:	https://orcid.org/0000-0002-9737-7300

Contacts:

Organization:

Jornada Basin LTER

Position:

Information Manager

Phone:

575-322-2430

Email Address:

jornada.data@nmsu.edu

Web Address:

https://lter.jornada.nmsu.edu/information-management/

Associated Parties:

Individual:	Bryce Sutter
Organization:	Arizona State University
Role:	technician

Metadata Providers:

Organization:

Jornada Basin LTER

Position:

Jornada Basin LTER program

Address:

P.O. Box 30003; MSC 3JER New Mexico State University,

Las Cruces, NM 88003-8003 USA

Email Address:

jornada.lter@nmsu.edu

Web Address:

https://lter.jornada.nmsu.edu

Id:

https://ror.org/05976ta47

Temporal, Geographic and Taxonomic Coverage

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

Time Period

Begin:

2011-06-01

End:

2020-09-30

Geographic Region:

Description:

Basin Floor: Study occurred in the basin floor geomorphic zone in the Jornada Basin. More precise geographic coordinates for this study may be requested from the JRN LTER Data Manager (jornada.data@nmsu.edu).

Bounding Coordinates:

Northern:	32.749487	Southern:	32.473173
Western:	-106.872883	Eastern:	-106.692716

Geographic Region:

Description:

Global soil isotope dataset (Craine et al., NEON)): Bounding extent of isotope observations derived from NEON data package DP1.10026.001 and Craine et al. (https://doi.org/10.5061/dryad.v2k2607).

Bounding Coordinates:

Northern:	79.520000	Southern:	-54.507240
Western:	-159.700000	Eastern:	179.216000

Taxonomic Range:

Classification:

Rank Name:

kingdom

Rank Value:

Plantae

Classification:

Rank Name:

phylum

Classification:

Rank Name:

class

Rank Value:

Magnoliopsida

Classification:

Rank Name:

order

Rank Value:

Fabales

Classification:

Rank Name:

family

Rank Value:

Fabaceae

Classification:

Rank Name:

genus

Rank Value:

Prosopis

Classification:

Rank Name:	specificEpithet
Rank Value:	glandulosa

Classification:

Rank Name:

kingdom

Rank Value:

Plantae

Classification:

Rank Name:

phylum

Classification:

Rank Name:

class

Rank Value:

Magnoliopsida

Classification:

Rank Name:

order

Rank Value:

Asterales

Classification:

Rank Name:

family

Rank Value:

Asteraceae

Classification:

Rank Name:

genus

Rank Value:

Gutierrezia

Classification:

Rank Name:	specificEpithet
Rank Value:	sarothrae

Classification:

Rank Name:

kingdom

Rank Value:

Plantae

Classification:

Rank Name:

phylum

Classification:

Rank Name:

class

Rank Value:

Magnoliopsida

Classification:

Rank Name:

order

Rank Value:

Poales

Classification:

Rank Name:

family

Rank Value:

Poaceae

Classification:

Rank Name:

genus

Rank Value:

Aristida

Classification:

Rank Name:	specificEpithet
Rank Value:	purpurea

Classification:

Rank Name:

kingdom

Rank Value:

Plantae

Classification:

Rank Name:

phylum

Classification:

Rank Name:

class

Rank Value:

Magnoliopsida

Classification:

Rank Name:

order

Rank Value:

Poales

Classification:

Rank Name:

family

Rank Value:

Poaceae

Classification:

Rank Name:

genus

Rank Value:

Bouteloua

Classification:

Rank Name:	specificEpithet
Rank Value:	eriopoda

Classification:

Rank Name:

kingdom

Rank Value:

Plantae

Classification:

Rank Name:

phylum

Classification:

Rank Name:

class

Rank Value:

Magnoliopsida

Classification:

Rank Name:

order

Rank Value:

Poales

Classification:

Rank Name:

family

Rank Value:

Poaceae

Classification:

Rank Name:

genus

Rank Value:

Sporobolus

Classification:

Rank Name:	specificEpithet
Rank Value:	flexuosus

Project

Parent Project Information:

Title:

LTREB Global Change experiments at Jornada Basin LTER

Personnel:

Individual:

Dr. Osvaldo Sala

Address:

School of Life Sciences and School of Sustainability,

Arizona State University,

Tempe, AZ 85287 United States

Phone:

480-965-4120 (voice)

Email Address:

osvaldo.sala@asu.edu

Role:

Principal Investigator (LTREB)

Individual:

Dr. Niall Hanan

Address:

P.O. Box 30003, MSC 3JER,

New Mexico State University,

Las Cruces, NM 88003-8003 United States

Phone:

575-646-3335 (voice)

Email Address:

nhanan@nmsu.edu

Role:

Principal Investigator (LTER)

Abstract:

The Global Change experiments in the Jornada Basin consist of controlled, long-term experiments designed to uncover what causes changes in grasslands with enough confidence to predict their future as they begin to experience conditions never seen before. The project expands on decade-long field experiments in which rainfall amount and variability were manipulated over multi-year timescales. Results from these experiments will yield new understanding that will provide guidance to managers of drylands in the Southwest United States, and around the world. The project is funded by the US National Science Foundation (NSF) Long Term Research in Environmental Biology, or LTREB, program.

The Global Change experiments occur in coordination with the Jornada Basin Long-Term Ecological Research program (JRN LTER). JRN LTER is part of a national network of long-term ecological research sites funded by the US National Science Foundation (NSF). The Jornada LTER program has been continuously funded since 1982 (Current NSF award: DEB-2025166) to develop general principles governing changes between grassland and shrubland ecosystems based on long-term data collected in the Chihuahuan Desert. We translate our findings to dryland ecosystems around the world, and forecast the dynamics of future ecosystem states in response to changing climate and land use.

Additional Award Information:

Funder:

National Science Foundation

Funder ID:

https://ror.org/05976ta47

Number:

1754106

Title:

LTREB: Long-term ecosystem responses to directional changes in precipitation amount and variability in an arid grassland

URL:

https://www.nsf.gov/awardsearch/showAward?AWD_ID=1754106

Additional Award Information:

Funder:

National Science Foundation

Funder ID:

https://ror.org/05976ta47

Number:

2025166

Title:

LTER: Long –Term Research at the Jornada Basin (LTER VII)

URL:

https://www.nsf.gov/awardsearch/showAward?AWD_ID=2025166

Additional Award Information:

Funder:	National Science Foundation
Number:	DEB 1832194
Title:	Prior award: LTER: Long - Term Research at the Jornada Basin (LTER VII)

Additional Award Information:

Funder:	National Science Foundation
Number:	DEB 1235828
Title:	Prior award: LTER: Long-Term Research at the Jornada Basin (LTER-VI)

Additional Award Information:

Funder:	National Science Foundation
Number:	DEB 0618210
Title:	Prior award: Jornada Basin LTER V: Landscape Linkages in Arid and Semiarid Ecosystems

Maintenance

Maintenance:

Description:	complete
Frequency:	asNeeded

Other Metadata

Additional Metadata

additionalMetadata
        |___text '\n    '
        |___element 'metadata'
        |     |___text '\n      '
        |     |___element 'unitList'
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'abbreviation' = 'C'
        |     |     |     |  \___attribute 'constantToSI' = '273.18'
        |     |     |     |  \___attribute 'id' = 'celsius'
        |     |     |     |  \___attribute 'multiplierToSI' = '1'
        |     |     |     |  \___attribute 'name' = 'celsius'
        |     |     |     |  \___attribute 'parentSI' = 'kelvin'
        |     |     |     |  \___attribute 'unitType' = 'temperature'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'A common unit of temperature'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'abbreviation' = 'º'
        |     |     |     |  \___attribute 'id' = 'degree'
        |     |     |     |  \___attribute 'multiplierToSI' = '0.0174532924'
        |     |     |     |  \___attribute 'name' = 'degree'
        |     |     |     |  \___attribute 'parentSI' = 'radian'
        |     |     |     |  \___attribute 'unitType' = 'angle'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text '360 degrees comprise a unit circle'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'dimensionless'
        |     |     |     |  \___attribute 'name' = 'dimensionless'
        |     |     |     |  \___attribute 'unitType' = 'dimensionless'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'a designation asserting the absence of an associated unit'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'fractionalYear'
        |     |     |     |  \___attribute 'name' = 'fractionalYear'
        |     |     |     |  \___attribute 'unitType' = 'time'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'fractional year, i.e. 1995.0, 2005.25, 2005.5, 2020.75'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'abbreviation' = 'mm'
        |     |     |     |  \___attribute 'id' = 'millimeter'
        |     |     |     |  \___attribute 'multiplierToSI' = '0.001'
        |     |     |     |  \___attribute 'name' = 'millimeter'
        |     |     |     |  \___attribute 'parentSI' = 'meter'
        |     |     |     |  \___attribute 'unitType' = 'volume'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text '.001 meters'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'number'
        |     |     |     |  \___attribute 'name' = 'number'
        |     |     |     |  \___attribute 'unitType' = 'dimensionless'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'a quantity or amount'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'abbreviation' = '%'
        |     |     |     |  \___attribute 'id' = 'percent'
        |     |     |     |  \___attribute 'multiplierToSI' = '1'
        |     |     |     |  \___attribute 'name' = 'percent'
        |     |     |     |  \___attribute 'parentSI' = 'dimensionless'
        |     |     |     |  \___attribute 'unitType' = 'dimensionless'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'percent, one part per hundred parts. a decimal ratio multipled by 100'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'abbreviation' = 'o/oo'
        |     |     |     |  \___attribute 'id' = 'permil'
        |     |     |     |  \___attribute 'multiplierToSI' = '1'
        |     |     |     |  \___attribute 'name' = 'permil'
        |     |     |     |  \___attribute 'parentSI' = 'dimensionless'
        |     |     |     |  \___attribute 'unitType' = 'dimensionless'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'permil, one part per thousand parts. a decimal ratio multipled by 1000'
        |     |     |     |___text '\n        '
        |     |     |___text '\n      '
        |     |___text '\n    '
        |___text '\n  '

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Dataset and analyses for publication entitled: “Acclimation of the nitrogen cycle to changes in precipitation”

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Dataset and analyses for publication entitled: “Acclimation of the nitrogen cycle to changes in precipitation”

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