This data set documents results of analysis of samples collected from the Arctic National Wildlife Refuge during Summer 2019. Data tables include: 1. The numeric and alphanumeric identifiers for samples collected for this study and the dates these samples were collected; 2. Results data containing concentration values of individual polycyclic aromatic hydrocarbon compounds in sediment, soil, and vegetation samples; 3. Results data containing concentration values of individual PAH compounds in water samples; 4. Results data containing concentration values of individual polycyclic aromatic hydrocarbon compounds in quality-control sample blanks for all four sample matrices (sediment, soil, vegetation, water); 5. Results data containing mass values of individual polycyclic aromatic hydrocarbon compounds detected in quality-control procedural spiked and purified water spiked samples that were spiked with mixture of polycyclic aromatic hydrocarbon compounds; 6. Results data containing concentration values of individual polycyclic aromatic hydrocarbon compounds in sediment, soil, and vegetation samples subsampled in triplicate; 7. Results data containing percent recovery values of deuterated polycyclic aromatic hydrocarbon surrogate compounds spiked into all processed samples at the beginning of the sample preparation procedure as a measure to determine recovery of targeted polycyclic aromatic hydrocarbon compounds subjected to the sample preparation procedure

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This dataset contains estimated time-weighted average water concentrations of polycyclic aromatic hydrocarbon (PAH) compounds sampled using semipermeable membrane device (SPMD) samplers.

All detected feature abundances from NTA pre-screen on TOF and merged in-depth Orbitrap data collection from 2017 water set, as well as Orbitrap raw abundances and estimated concentrations from ClPFPECA compounds from 2019 POET samples. This dataset is associated with the following publication: McCord, J., M. Strynar, J. Washington, E.L. Bergman, and S.M. Goodrow. Emerging Chlorinated Polyfluorinated Polyether Compounds Impacting the Waters of Southwestern New Jersey Identified by Use of Nontargeted Analysis. Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 7(12): 903-908, (2020).

This data release contains the analytical results of three contaminant classes in water using two types of passive sampling devices. Samples were collected at eight sites in the lower Columbia River and two sites in the lower Willamette River in Oregon and Washington. A Polar Organic Compound Integrating Sampler (POCIS) and a Solid-Phase Adsorption Toxin Tracker (SPATT) sampler were deployed at the ten sites in three separate seasons in 2023 to capture a range of environmental conditions. The POCIS samplers were used to detect the presence of both per- and polyfluoroalkyl substances (PFAS, n=75) and waste indicator compounds (WI, n=39). The SPATT samplers were used to detect four cyanotoxins present in the water: microcystins/nodularins (ADDA), cylindrospermopsins, anatoxins, and saxitoxins. Both sampler types were deployed over various lengths of time to concentrate chemicals and toxins and allow for the detection of chemical and toxin concentrations at low levels.

This dataset includes chemical, discrete sample, physical and profile data collected from LOUIS S. ST. LAURENT in the Arctic Ocean, Chukchi Sea, and North Greenland Sea from 1994-07-24 to 1994-09-01 and retrieved during cruise CARINA/18SN19940724. These data include ALKALINITY, CHLOROFLUOROCARBON-11 (CFC-11), CHLOROFLUOROCARBON-113 (CFC-113), CHLOROFLUOROCARBON-12 (CFC-12), Carbon tetrachloride (CCL4), DISSOLVED INORGANIC CARBON, DISSOLVED OXYGEN, HYDROSTATIC PRESSURE, NITRATE, NITRITE, PHOSPHATE, Potential temperature (theta), SALINITY, SILICATE and WATER TEMPERATURE. The instruments used to collect these data include CTD and bottle. These data were collected by E. Peter Jones and Kumiko Azetsu-Scott of Bedford Institute of Oceanography (BIO), Eddy Carmack of Fisheries and Oceans Canada, Institute of Ocean Sciences, James H. Swift of Scripps Institution of Oceanography (SIO), and Knut Aagaard of University of Washington (UW) as part of the CARINA/18SN19940724 dataset. The CARINA (CARbon dioxide IN the Atlantic Ocean) data synthesis project is an international collaborative effort of the EU IP CARBOOCEAN, and U.S. partners. It has produced a merged internally consistent dataset of open ocean subsurface measurements for biogeochemical investigations, in particular, studies involving the carbon system. The original focus area was the North Atlantic Ocean, but over time the geographic extent expanded and CARINA now includes data from the entire Atlantic, the Arctic Ocean, and the Southern Ocean.

This dataset includes discrete sample and profile data collected during the RRS Discovery Fisheries and Oceans Canada (DFO) Atlantic Zone Monitoring Program (AZMP) cruise (EXPOCODE 32V320231006) in the North Atlantic Ocean and Labrador Sea from 2023-11-06 to 2023-10-27. These data include water temperature, salinity, dissolved oxygen, nutrients, dissolved inorganic carbon (DIC), total alkalinity (TA), pH, and other parameters. Oceanographic sampling of physical, biological, and chemical parameters is performed annually along selected fixed sections as part of the AZMP. The sampling consists at a minimum of a vertical profile of the entire water column (temperature; salinity; dissolved oxygen); rosette bottle casts at selected depths (nutrients; DIC and TA; and other biological parameters) as well as plankton net tows. The AZMP was implemented in 1998 with the aim of increasing DFO's capacity to understand, describe, and forecast the state of the marine ecosystem and to quantify the changes in the ocean physical, chemical, and biological properties. Ocean acidification is an emerging priority for DFO under the Aquatic Climate Change Adaption Services Program (ACCASP) and is developing the knowledge-base necessary to support the development of adaptation tools and strategies and investing in science to better understand the specific consequences of a changing climate. Specifically, the effects of ocean acidification on ecosystems in the Northwest Atlantic and large aquatic basin risk assessments consider ocean acidification at the basin and sub-basin scale are being investigated.

Boreal ecosystems comprise about one tenth of the world’s land surface and contain over 20 % of the global soil carbon (C) stocks. Boreal soils are unique in that the mineral soil is covered by what can be quite thick layers of organic soil. These organic soil layers, or horizons, can differ in their state of decomposition, source vegetation, and disturbance history. These differences result in varying soil properties (bulk density, C content, and nitrogen (N) content) among soil horizons. These data were used in a manuscript where these soil properties, as represented by over 3000 samples from Interior Alaska, were summarized. We also examined how soil drainage and stand age affect these attributes. The summary values presented in this manuscript can be used to gap-fill large datasets when important soil properties were not measured, provide data to initialize process-based models, and validate model results.