Automated Author ProfileOczkowski, Autumn
U.S. Environmental Protection Agency0000-0002-2421-0956
Oczkowski, Autumn
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 6.7 (sum of 6 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
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
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
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
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
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
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