Automated Author Profile

Zarnetske, Phoebe

Current S-Index

14.0

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.9

Average Dataset Index per dataset

Total Datasets

16

Total datasets for this author

Average FAIR Score

33.3%

Average FAIR Score per dataset

Total Citations

5

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Supporting data for “Climate Intervention through Stratospheric Aerosol Injection may only partially mitigate marine heatwaves"

Although climate intervention aims to lower the global average temperature, the potential impact of Stratospheric Aerosol Injection on marine heatwaves (MHW) has not been thoroughly examined. This dataset provides MHW metrics—such as frequency, maximum intensity, and duration—from the Community Earth System Model, version 2 (CESM2), using the baseline scenario SSP2-4.5, referred to as a no climate intervention scenario, and the ARISE-SAI ensemble. The ARISE-SAI model uses the SSP2-4.5 scenario, introducing stratospheric aerosol injection at approximately 21 km in 2035, aiming to keep global mean surface air temperature near 1.5°C for ARISE-SAI-1.5 and near 1.0°C for ARISE-SAI-1.0 above pre-industrial levels. The dataset includes global MHW properties for the historical period (1990-2009), the current period under SSP2-4.5 emission scenario (2015-2034), and future scenarios under SSP2-4.5, ARISE-SAI-1.5, and ARISE-SAI-1.5 for 2050-2059 and 2060-2069.

Authors

  • Kounta, Lala ;
  • Zarnetske, Phoebe ;
  • Luo, Lifeng
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6073/pasta/61e0b03682967f2882c899d204702276January 2025

Standardized NEON organismal data (neonDivData)

To standardize NEON organismal data for major taxonomic groups, we first systematically reviewed NEON’s documentations for each taxonomic group. We then discussed as a group and with NEON staff to decide how to wrangle and standardize NEON organismal data. See Li et al. 2022 for more details. All R code to process NEON data products can be obtained through the R package ‘ecocomDP’. Once the data are in ecocomDP format, we further processed them to convert them into long data frames with code on Github (https://github.com/daijiang/neonDivData/tree/master/data-raw), which is also archived here.

Authors

  • Li, Daijiang ;
  • Record, Sydne ;
  • Sokol, Eric ;
  • Bitters, Matthew ;
  • Chen, Melissa ;
  • Chung, Anny ;
  • Helmus, Matthew ;
  • Jaimes, Ruvi ;
  • Jansen, Lara ;
  • Jarzyna, Marta ;
  • Just, Michael ;
  • LaMontagne, Jalene ;
  • Melbourne, Brett ;
  • Moss, Wynne ;
  • Norman, Kari ;
  • Parker, Stephanie ;
  • Robinson, Natalie ;
  • Seyednasrollah, Bijan ;
  • Spaulding, Sarah ;
  • Surasinghe, Thilina ;
  • Thomsen, Sarah ;
  • Zarnetske, Phoebe
1 Citation0 Mentions13% FAIR0.7 Dataset Index
10.6073/pasta/c28dd4f6e7989003505ea02e9a92afbfJanuary 2022

temporalNEON: Repository containing raw and cleaned-up organismal data from the National Ecological Observatory Network (NEON) useful for evaluating the links between change in biodiversity and ecosystem stability

Organismal data include the following taxonomic groups: small mammals, fish, ground beetles, and aquatic macroinvertebrates. Data were retrieved from the National Ecological Observatory Network (NEON) database in November 2020. We submit both raw data retrieved from NEON as .rds files, R code used to process these data, as well as processed data as .csv files.

Authors

  • Jarzyna, Marta A ;
  • Norman, Kari EA ;
  • LaMontagne, Jalene M ;
  • Helmus, Matthew R ;
  • Li, Daijiang ;
  • Parker, Stephanie M ;
  • Perez Rocha, Mariana ;
  • Record, Sydne ;
  • Sokol, Eric R ;
  • Zarnetske, Phoebe ;
  • Surasinghe, Thilina D
1 Citation0 Mentions13% FAIR0.6 Dataset Index
10.6073/pasta/7f0e0598132e3fea1bfd36a4257af643January 2021

Data from: Among-species overlap in rodent body size distributions predicts species richness along a temperature gradient

The associated data files and R script are all that is required to reproduce the analyses in the manuscript "A thermal gradient of trait similarity across North America," published in Ecography: https://onlinelibrary.wiley.com/doi/10.1111/ecog.03641
The following .csv files contain data required to reproduce the analysis, with raw unprocessed small mammal data from NEON, small mammal data that has been put through our QC code, mammal trait data compiled from different sources, and site-level environmental covariates: raw_NEON_mammal_data.csv, final_NEON_mammal_data.csv, mammal_traits.csv, site_covariates.csv
The following .csv files contain metadata describing the corresponding data file: final_NEON_mammal_data_meta.csv, mammal_traits_meta.csv, site_covariates_meta.csv. Each file lists the data sources. Please see documentation at neonscience.org for more information on the NEON small mammal trapping data.
The following .R file is an R script, tested under R/3.3.3, that contains code to reproduce the analyses in the manuscript: code_supplement.R
Below is the abstract:Temperature is widely regarded as a major driver of species richness, but the mechanisms are debated. Niche theory suggests temperature may affect richness by filtering traits and species in colder habitats while promoting specialization in warmer ones. However, tests of this theory are rare because niche dimensions are challenging to quantify along broad thermal gradients. Here, we use individual-level trait data from a long-term monitoring network spanning a large geographic extent to test niche-based theory of community assembly in small mammals. We examined variation in body size among 23 communities of North American rodents sampled across the National Ecological Observatory Network (NEON), ranging from northern hardwood forests to subtropical deserts. We quantified body size similarity among species using a metric of overlap that accounts for individual variation, and fit a structural equation model to disentangle the relationships between temperature, productivity, body size overlap, and species richness. We document a latitudinal gradient of declining similarity in body size among species towards the tropics and overall increase in the dimensions of community-wide trait space in warmer habitats. Neither environmental temperature nor net primary productivity directly affect rodent species richness. Instead, temperature determines the community-wide niche space that species can occupy, which in turn alters richness. We suggest a latitudinal gradient of trait space expansion towards the tropics may be widespread and underlie gradients in species diversity.

Authors

  • Read, Quentin ;
  • Grady, John ;
  • Zarnetske, Phoebe ;
  • Sydne Record ;
  • Baiser, Benjamin ;
  • Belmaker, Jonathan ;
  • Mao-Ning Tuanmu ;
  • Strecker, Angela ;
  • Beaudrot, Lydia ;
  • Thibault, Katherine
0 Citations0 Mentions13% FAIR0.1 Dataset Index
10.6084/m9.figshare.5339407January 2020

Data from: Among-species overlap in rodent body size distributions predicts species richness along a temperature gradient

The associated data files and R script are all that is required to reproduce the analyses in the manuscript "A thermal gradient of trait similarity across North America," published in Ecography: https://onlinelibrary.wiley.com/doi/10.1111/ecog.03641
The following .csv files contain data required to reproduce the analysis, with raw unprocessed small mammal data from NEON, small mammal data that has been put through our QC code, mammal trait data compiled from different sources, and site-level environmental covariates: raw_NEON_mammal_data.csv, final_NEON_mammal_data.csv, mammal_traits.csv, site_covariates.csv
The following .csv files contain metadata describing the corresponding data file: final_NEON_mammal_data_meta.csv, mammal_traits_meta.csv, site_covariates_meta.csv. Each file lists the data sources. Please see documentation at neonscience.org for more information on the NEON small mammal trapping data.
The following .R file is an R script, tested under R/3.3.3, that contains code to reproduce the analyses in the manuscript: code_supplement.R
Below is the abstract:Temperature is widely regarded as a major driver of species richness, but the mechanisms are debated. Niche theory suggests temperature may affect richness by filtering traits and species in colder habitats while promoting specialization in warmer ones. However, tests of this theory are rare because niche dimensions are challenging to quantify along broad thermal gradients. Here, we use individual-level trait data from a long-term monitoring network spanning a large geographic extent to test niche-based theory of community assembly in small mammals. We examined variation in body size among 23 communities of North American rodents sampled across the National Ecological Observatory Network (NEON), ranging from northern hardwood forests to subtropical deserts. We quantified body size similarity among species using a metric of overlap that accounts for individual variation, and fit a structural equation model to disentangle the relationships between temperature, productivity, body size overlap, and species richness. We document a latitudinal gradient of declining similarity in body size among species towards the tropics and overall increase in the dimensions of community-wide trait space in warmer habitats. Neither environmental temperature nor net primary productivity directly affect rodent species richness. Instead, temperature determines the community-wide niche space that species can occupy, which in turn alters richness. We suggest a latitudinal gradient of trait space expansion towards the tropics may be widespread and underlie gradients in species diversity.

Authors

  • Read, Quentin ;
  • Grady, John ;
  • Zarnetske, Phoebe ;
  • Sydne Record ;
  • Baiser, Benjamin ;
  • Belmaker, Jonathan ;
  • Mao-Ning Tuanmu ;
  • Strecker, Angela ;
  • Beaudrot, Lydia ;
  • Thibault, Katherine
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.5339407.v7January 2020

Code to reproduce analyses in paper

No description available

Authors

  • Read, Quentin ;
  • Baiser, Benjamin ;
  • Grady, John ;
  • Zarnetske, Phoebe ;
  • Record, Sydne ;
  • Belmaker, Jonathan
0 Citations0 Mentions77% FAIR1.9 Dataset Index
10.5061/dryad.gd290/6January 2018

Processed data and covariates for each bird sister species pair

No description available

Authors

  • Read, Quentin ;
  • Baiser, Benjamin ;
  • Grady, John ;
  • Zarnetske, Phoebe ;
  • Record, Sydne ;
  • Belmaker, Jonathan
0 Citations0 Mentions77% FAIR1.7 Dataset Index
10.5061/dryad.gd290/2January 2018

Column metadata for bird sister species data

No description available

Authors

  • Read, Quentin ;
  • Baiser, Benjamin ;
  • Grady, John ;
  • Zarnetske, Phoebe ;
  • Record, Sydne ;
  • Belmaker, Jonathan
0 Citations0 Mentions77% FAIR1.7 Dataset Index
10.5061/dryad.gd290/3January 2018

Raw body mass data for bird species

No description available

Authors

  • Read, Quentin ;
  • Baiser, Benjamin ;
  • Grady, John ;
  • Zarnetske, Phoebe ;
  • Record, Sydne ;
  • Belmaker, Jonathan
0 Citations0 Mentions77% FAIR1.7 Dataset Index
10.5061/dryad.gd290/4January 2018

stepAICc R function

No description available

Authors

  • Read, Quentin ;
  • Baiser, Benjamin ;
  • Grady, John ;
  • Zarnetske, Phoebe ;
  • Record, Sydne ;
  • Belmaker, Jonathan
1 Citation0 Mentions77% FAIR2.3 Dataset Index
10.5061/dryad.gd290/5January 2018