Automated Author Profile

Oczkowski, Autumn

U.S. Environmental Protection Agency
0000-0002-2421-0956

Current S-Index

6.7

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.1

Average Dataset Index per dataset

Total Datasets

6

Total datasets for this author

Average FAIR Score

44.6%

Average FAIR Score per dataset

Total Citations

2

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

Water quality data for the manuscript: Water column biogeochemistry in a tropical estuary

Here we provide data from water samples that were collected twice monthly, from April 26, 2021 and April 25, 2024, from sixteen stations throughout the San Juan Bay Estuary, Puerto Rico. The station locations are given in Fig. 1 and the descriptions of the data headers in the dataset are given in Table 1 in the associated Read Me file. An overview of methods follows. For methodological details, please see Oczkowski et al. (Water column biogeochemistry in a tropical estuary, In Review).

Authors

  • Oczkowski, Autumn ;
  • Cappielo Cosme, Ivelisse ;
  • Schwartz, Morgan ;
  • Soto Nieves, Noemí ;
  • Molina, Marirosa ;
  • Villafane, Eileen ;
  • Huertas, Evelyn ;
  • Alayón Rivera, Isabel Rubí ;
  • Katz, David ;
  • Hanson, Alana
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.5281/zenodo.15181649April 2025

Water quality data for the manuscript: Water column biogeochemistry in a tropical estuary

Here we provide data from water samples that were collected twice monthly, from April 26, 2021 and April 25, 2024, from sixteen stations throughout the San Juan Bay Estuary, Puerto Rico. The station locations are given in Fig. 1 and the descriptions of the data headers in the dataset are given in Table 1 in the associated Read Me file. An overview of methods follows. For methodological details, please see Oczkowski et al. (Water column biogeochemistry in a tropical estuary, In Review).

Authors

  • Oczkowski, Autumn ;
  • Cappielo Cosme, Ivelisse ;
  • Schwartz, Morgan ;
  • Soto Nieves, Noemí ;
  • Molina, Marirosa ;
  • Villafane, Eileen ;
  • Huertas, Evelyn ;
  • Alayón Rivera, Isabel Rubí ;
  • Katz, David ;
  • Hanson, Alana
0 Citations0 Mentions73% FAIR1.8 Dataset Index
10.5281/zenodo.15181650April 2025

Global dataset of nitrogen fixation rates across inland and coastal waters based on a coordinated synthesis effort

Biological nitrogen fixation converts inert di-nitrogen gas into bioavailable nitrogen and can be an important source of bioavailable nitrogen to organisms. This dataset synthesizes the aquatic nitrogen fixation rate measurements across inland and coastal waters. Data were derived from papers and datasets published by April 2022 and include rates measured using the acetylene reduction assay (ARA), 15N2 labeling, or the N2/Ar technique. The dataset is comprised of 4793 nitrogen fixation rates measurements from 267 studies, and is structured into four tables: 1) a reference table with sources from which data were extracted, 2) a rates table with nitrogen fixation rates that includes habitat, substrate, geographic coordinates, and method of measuring N2 fixation rates, 3) a table with supporting environmental and chemical data for a subset of the rate measurements when data were available, and 4) a data dictionary with definitions for each variable in each data table. This dataset was compiled and curated by the NSF-funded Aquatic Nitrogen Fixation Research Coordination Network (award number 2015825).

Authors

  • Fulweiler, Robinson W ;
  • Berberich, Megan E ;
  • Rinehart, Shelby A ;
  • Taylor, Jason M ;
  • Kelly, Michelle Catherine ;
  • Ray, Nicholas E ;
  • Oczkowski, Autumn ;
  • Benavides, Mar ;
  • Church, Matthew J ;
  • Loeks, Brianna ;
  • Newell, Silvia ;
  • Olofsson, Malin ;
  • Oppong, Jimmy Clifford ;
  • Roley, Sarah S ;
  • Vizza, Carmella ;
  • Wilson, Samuel T ;
  • Scott, J Thad ;
  • Marcarelli, Amy M
1 Citation0 Mentions13% FAIR0.6 Dataset Index
10.6073/pasta/333f651ca721da657d5fd0c393d26cf8January 2025

Global dataset of nitrogen fixation rates across inland and coastal waters based on a coordinated synthesis effort

Biological nitrogen fixation converts inert di-nitrogen gas into bioavailable nitrogen and can be an important source of bioavailable nitrogen to organisms. This dataset synthesizes the aquatic nitrogen fixation rate measurements across inland and coastal waters. Data were derived from papers and datasets published by April 2022 and include rates measured using the acetylene reduction assay (ARA), 15N2 labeling, or the N2/Ar technique. The dataset is comprised of 4793 nitrogen fixation rates measurements from 267 studies, and is structured into four tables: 1) a reference table with sources from which data were extracted, 2) a rates table with nitrogen fixation rates that includes habitat, substrate, geographic coordinates, and method of measuring N2 fixation rates, 3) a table with supporting environmental and chemical data for a subset of the rate measurements when data were available, and 4) a data dictionary with definitions for each variable in each data table. This dataset was compiled and curated by the NSF-funded Aquatic Nitrogen Fixation Research Coordination Network (award number 2015825).

Authors

  • Fulweiler, Robinson W ;
  • Berberich, Megan E ;
  • Rinehart, Shelby A ;
  • Taylor, Jason M ;
  • Kelly, Michelle Catherine ;
  • Ray, Nicholas E ;
  • Oczkowski, Autumn ;
  • Benavides, Mar ;
  • Church, Matthew J ;
  • Loeks, Brianna ;
  • Newell, Silvia ;
  • Olofsson, Malin ;
  • Oppong, Jimmy Clifford ;
  • Roley, Sarah S ;
  • Vizza, Carmella ;
  • Wilson, Samuel T ;
  • Scott, J Thad ;
  • Marcarelli, Amy M
0 Citations0 Mentions13% FAIR0.1 Dataset Index
10.6073/pasta/dd33573628ac1f61204a9a77a1feef9eJanuary 2024

Water quality data for Narragansett Bay, RI (USA) from 2014 to 2018

This dataset includes results of a monthly monitoring program conducted in Narragansett Bay, RI (USA) between 2014 and 2018. Eight stations were sampled at three depths (surface, middle, and bottom); at each station, water clarity was noted (Secchi depth). and dissolved oxygen, salinity, and pH were measured. Discrete water samples were analyzed in the laboratory for chlorophyll-a, dissolved inorganic nutrients (nitrate, nitrite, ammonium, and orthophosphate), dissolved organic carbon, stable isotopes of particulate carbon and nitrogen, and total suspended solids. These water quality data are being made available to use, in conjunction with pre-existing datasets collected by others, to better understand the ecological dynamics of the Narragansett Bay ecosystem. A description of the sample collection methods and data analyses are included as a companion file to the dataset.

Authors

  • Pimenta, Adam ;
  • McKinney, Rick ;
  • Hanson, Alana ;
  • Johnson, Roxanne ;
  • Cobb, Donald ;
  • Janiec, Jessica ;
  • Oczkowski, Autumn
0 Citations0 Mentions77% FAIR1.7 Dataset Index
10.5281/zenodo.3747391April 2020

Water quality data for Narragansett Bay, RI (USA) from 2014 to 2018

This dataset includes results of a monthly monitoring program conducted in Narragansett Bay, RI (USA) between 2014 and 2018. Eight stations were sampled at three depths (surface, middle, and bottom); at each station, water clarity was noted (Secchi depth). and dissolved oxygen, salinity, and pH were measured. Discrete water samples were analyzed in the laboratory for chlorophyll-a, dissolved inorganic nutrients (nitrate, nitrite, ammonium, and orthophosphate), dissolved organic carbon, stable isotopes of particulate carbon and nitrogen, and total suspended solids. These water quality data are being made available to use, in conjunction with pre-existing datasets collected by others, to better understand the ecological dynamics of the Narragansett Bay ecosystem. A description of the sample collection methods and data analyses are included as a companion file to the dataset.

Authors

  • Pimenta, Adam ;
  • McKinney, Rick ;
  • Hanson, Alana ;
  • Johnson, Roxanne ;
  • Cobb, Donald ;
  • Janiec, Jessica ;
  • Oczkowski, Autumn
1 Citation0 Mentions77% FAIR2.2 Dataset Index
10.5281/zenodo.3747390April 2020