Project 4 released a dataset from experiments designed to understand if emissions from floors and walls in a PCB-era building fully account for the total PCB concentration and congener profiles (distribution) observed in room air. The data resulting from this study can inform future PCB analysis and remediation efforts of contaiminated indoor surfaces.

In 2021 Project 4 released a dataset that describes airborne polychlorinated biphenyl (PCB) congener masses and concentrations from room-to-room in Columbus Secondary School, a minority-predominant, low-income, public school in rural Iowa (Bannavti and Jahnke et. al., in review). These experiments were designed to understand if total PCB concentration and congener profiles (distribution) change in a single school depending on the location. The data resulting from this study can inform future PCB analysis and remediation efforts in schools.

The Analytical Core released a dataset for airborne PCBs and airborne OH-PCBs inside and outside urban and rural U.S. schools. The dataset includes indoor and outdoor air mass, concentration, and associated quality control of PCBs and OH-PCBs in two rural schools and four urban schools, the latter near a PCB-contaminated waterway of Lake Michigan in the United States.

Previous-cycle Project 7 toxicity assessment data from subchronic inhalation exposure to a school air mixture (SAM) of PCBs. This is the first study conducted using environmentally relevant PCB mixtures and concentrations to mimic indoor air from a representative older school.

In February 2022, Project 4 released a dataset that reports the levels of airborne PCB concentrations from 180 samples from 18 locations, from 2011 to 2013 in the metropolitan Chicago, IL, area in the United States. Measurements were obtained using polyurethane foam passive air samplers (PUF-PAS), deployed for ~45 days. Effective volumes for individual PCB congeners were calculated from a previously published model and included here. Further, individual PCB congener masses from 24 laboratory blank PUFs are included, as well as the masses of the individual PCB congeners measured in the PUF-PAS.

Project 4 also released in 2021 a dataset that reports the levels of airborne individual PCB concentrations of gas and particle phases from the City of Chicago in 2009. Twenty-seven and 17 locations were sampled for gas and particle phases, respectively, where 141 and 46 gas and particle phases were collected. The dataset can be found on Pangaea at https://doi.pangaea.de/10.1594/PANGAEA.935238.

Project 4 developed a method for measuring fluxes of PCBs from natural waters using air and water passive samplers deployed simultaneously in the Indiana Harbor and Ship Canal.  The complete data set can be found at https://doi.pangaea.de/10.1594/PANGAEA.894908. Included on the website are 15 PCB subsets from this study.

Project 4 has released the data from a collaborative research project with the Boston University Superfund Research Program studying PCB congener concentrations in New Bedford Harbor. It can be found at https://doi.pangaea.de/10.1594/PANGAEA.902925. The two Superfund Research Programs report the levels of airborne PCB concentrations at 18 locations for three consecutive periods, from July to November of 2015, and one extra period from July to August of 2016 in New Bedford, Fairhaven, Dartmouth, and Acushnet, MA, USA.

In 2019 Project 4 released a dataset showing the airborne and dissolved water PCB congener specific concentrations from southern Lake Michigan in 2010. The data were used to estimated instantaneous air-water PCB fluxes.

In 2018 Project 4 released a dataset reporting the levels of airborne and water freely dissolved PCB concentrations at one location in Indiana Harbor and Ship Canal, IN, USA. Airborne measurements were obtained using polyurethane foam passive air samplers (PUF-PAS), while water measurements were obtained using LDPE.

In June 2022, Project 5 released a dataset that describes the time-series accumulation of polychlorinated biphenyl (PCB) congeners on two separate types of passive sampling media deployed over 35-days in laboratory-scale bioreactors containing PCB-contaminated sediment slurry gathered from a field site as part of a modifed biodegradation assay experiment.

In October 2021, Project 5 released a dataset that contains the raw and analyzed results of quantitative PCR experiments using DNA extracted from sediments in a PCB-contaminated wastewater lagoon. There were a total of 27 sample locations, and DNA was extracted in duplicate from each location for a total of 54 samples for analysis. Datafiles contain information concerning the sample setup, the raw amplification data, the processed results, the raw melt-curve data, calibration curve data, additional calculations to convert results into gene copies per gram sediment, and a results summary.

In December 2021, Project 5 released a second dataset from this location. It reports the results of individual polychlorinated biphenyl (PCB) congeners in the surficial freshwater sediment from the wastewater lagoon located in Virginia (USA). PCB congeners were measured using tandem mass spectrometry (GC-MS/MS) in multiple reaction monitoring mode (MRM), a method that provides a high-level selectivity and sensitivity for PCBs in complex environmental samples. It can be found on Pangaea at https://doi.pangaea.de/10.1594/PANGAEA.933459.

In July 2021, Project 4 and the Synthesis Core released a dataset that measured the concentrations of 837 hydroxylated polychlorinated biphenyls (OH-PCBs, in 275 chromatographic peaks) and 209 polychlorinated biphenyls (PCBs, in 174 chromatographic peaks) in sediments from New Bedford Harbor in Massachusetts, Altavista wastewater lagoon in Virginia, and the Indiana Harbor and Ship Canal in Indiana, USA, and in Aroclors 1016, 1242, 1248, and 1254.

Project 4 reported the results of the first intensive survey of polychlorinated biphenyls (PCBs) in the surficial sediment of the Indiana Harbor and Ship Canal (IHSC) in East Chicago, Indiana.  The data was created by analyzing samples collected in 2010. The complete data set can be found on Pangaea at https://doi.pangaea.de/10.1594/PANGAEA.897545. Included on the website are 12 PCB subsets from this study.

In addition, ISRP trainees Moala Bannavti and Don McKendry have created a website that helps visualize PCB air, water, and sediment samples collected in East Chicago.

Project 4 has released the dataset from their study on PCBs and paint colorants. This is a dataset for PCB emissions from paint colorants, including file information, methods, investigators, and funding source for the project.

The Analytical Core has released a dataset for PCBs in food. It measured the concentrations of 205 polychlorinated biphenyl (PCB) congeners in 26 food items.

The Synthesis Core measured the levels of PCBs and hydroxylated polychlorinated biphenyls (OH-PCBs) in postmortem human brain tissues from Iowa. This dataset includes the information about samples from individual donors, including age, gender, and the weight of tissues used for this study.

The Synthesis Core and Project 2 released a dataset describing a cabinet mixture containing three non-Aroclor PCB congeners detected in polymer resin from kitchen cabinets(Herkert et al., 2018) was prepared and authenticated using a PCB congener-specific gas chromatography-tandem mass spectrometry (GC-MS/MS) method (Li et al., 2018). T

Project 1 (and previous-cycle Project 3) released a dataset that includes PCB sulfate concentrations from serum samples collected from individuals living in Columbus Junction, Iowa and East Chicago, Indiana. PCB sulfates in serum samples were extracted and then enzymatically hydrolyzed to the corresponding OH-PCBs with Helix pomatia sulfatase that had been highly purified by affinity chromatography.

Project 5 has developed more than 170 uncultured bacterium clones ribosomal RNA genes, partial sequences for their experiments. The full list can be found at the Iowa Superfund Research Program dataset on the NIEHS website.

In December 2020, Project 5 released a dataset describing biodegradation of individual PCBs by Paraburkholderia xenovorans LB400 in presence and absence of sediment slurry. These experiments were designed to further understand how biodegradation of PCB-degrading microorganisms can be limited by slow mass transfer of PCB molecules from the sediment particles to living cells.

In 2022 the Synthesis Core and Analytical Core worked with UC-Davis and released a dataset that includes the R workspaces, R scripts, and example data for predicting the relative retention times(RRT) and MS/MS data of methoxylated metabolites of polychlorinated biphenyls (MeO-PCBs) on a gas chromatography-tandem mass spectrometry (GC-MS/MS) system.

The Synthesis Core released a dataset describing the PCB metabolome in feces of germ-free (GF) and conventional (CV) mice was systematically explored with nontarget high-resolution mass spectrometry (Nt-HRMS). The total PCB metabolite levels were dose and gut microbiome dependent. This finding demonstrate that the gut microbiome plays a role in the metabolism and excretion of PCB metabolites. This dataset summarizes relative levels of individual PCB metabolites in feces of both CV and GF mice, including the raw data files collected from instrument and raw data extracted for the mass chromatograms (i.e., area integration, putative molecular formulas, and analysis of isotope patterns).

The Analytical Core has created a dataset for a semi-targeted analytical method for quantification of OH-PCBs in environmental samples. It was released in 2019.

In March 2023 the Synthesis Core released five Experimental Crystal Structure Determinations. These were created in collaboration with the University of Kentucky. They are:

DOI: 10.5517/ccdc.csd.cc2flz89,CCDC Number: 2252561

DOI: 10.5517/ccdc.csd.cc2flz9b,CCDC Number: 2252562

DOI: 10.5517/ccdc.csd.cc2flzbc,CCDC Number: 2252563

DOI: 10.5517/ccdc.csd.cc2flzcd,CCDC Number: 2252564

DOI: 10.5517/ccdc.csd.cc2flzdf,CCDC Number: 2252565

In July 2020 the Synthesis Core released the Dataset: Fatty Liver and Impaired Hepatic Metabolism Alter the Congener-specific Distribution of Polychlorinated Biphenyls (PCBs) in Mice with A Liver-specific Deletion of Cytochrome P450 Reductase. This excel data sheet summarizes quality assurance /quality control (QA/QC) data, including method detection limits (MDL), recovery rates of spiked ongoing precision and recovery standards (OPR) in both blank solvent and tissue matrix, limits of detection in both mass (ng) and concentration (ng/g tissue) from a study investigating the congener specific tissue distribution in mice exposed orally to Aroclor 1254.

The Synthesis Core also released datasets that were synthesized as analytical standards to study the metabolism of PCB 11. The datasets can be found at:
Authentication of 5-bromo-3-chloro-1,2-dimethoxybenzenedoi.org/10.6084/m9.figshare.8269931.v1

Authentication_of_3_3_-dichloro-4_5-dimethoxy-biphenyl/8269832/1

In March 2020, they also released 12 datasets from previous publications regarding authentication of PCBs:

Authentication of 4-chloro-2-hydroxy-biphenyl. 2020. DOI:10.6084/m9.figshare.10293434.v1

Authentication of 4-chloro-3-hydroxy-biphenyl. 2020. DOI:10.6084/m9.figshare.10299302.v1

Authentication of 4-chloro-2'-hydroxy-biphenyl. 2020. DOI:10.6084/m9.figshare.8194220.v1

Authentication of 4-chloro-3'-hydroxy-biphenyl. 2020. DOI:10.6084/m9.figshare.10295243.v1

Authentication of 4-chloro-4'-hydroxy-biphenyl. 2020. DOI:10.6084/m9.figshare.10299173.v

Authentication of 4-chloro-3',4'-dihydroxy-biphenyl. 2020. DOI:10.6084/m9.figshare.10295159.v1

Authentication of 4-chloro-3-fluoro-4'-hydroxy-biphenyl. 2020. DOI:10.6084/m9.figshare.10295207.v1

Authentication of 4-chloro-2-methoxy-biphenyl. 2020. DOI:10.6084/m9.figshare.10294895.v1

Authentication of 4-chloro-3-methoxy-biphenyl. 2020. DOI:10.6084/m9.figshare.10295348.v1

Authentication of 4-chloro-2'-methoxy-biphenyl. 2020. DOI:10.6084/m9.figshare.10293929.v1

Authentication of 4-chloro-3'-methoxy-biphenyl. 2020. DOI:10.6084/m9.figshare.10299092.v1

Authentication of 4-chloro-4'-methoxy-biphenyl. 2020. DOI:10.6084/m9.figshare.10299209.v1