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32 results for “Persistent Organic Pollutants”

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zenodo40/100

Characterization of legacy persistent organic pollutants (POPs) in northern bottlenose whales of the Western North-Atlantic

<p>Dataset associated with the Canadian Technical Report of Fisheries and Aquatic Sciences entitled &quot;Characterization of legacy persistent organic pollutants (POPs) in northern bottlenose whales of the Western North-Atlantic&quot;. Presents lipid weight corrected persistent organic pollutant concentrations (microgram per gram) in the blubber of northern bottlenose whales samples in the western North Atlantic.&nbsp;&nbsp;</p>

opencc-by-4.0Jan 2021View details →
zenodo36/100

Dataset of concentrations of legacy persistent organic pollutants in fishes and human of the European Arctic Russia

<p>The dataset presented in this Data descriptor supports &ldquo;Persistent organic pollutants (POPs) in fish consumed by the indigenous peoples from Nenets Autonomous Okrug&rdquo; (Lakhmanov et al., 2020).</p>

opencc-by-4.0Jan 2022View details →
zenodo36/100

Dataset, Sea spray as a secondary source of organochlorine persistent organic pollutants

<p>The dataset contains concentration of organochlorine persistent organic pollutants, metal and metalloids and hydrogen and oxygen isotopes in snow and sea water samples. All snow samples have been collected within one month during spring 2019 and 2021, in the vicinity of the Polish Polar Station, Svalbard.&nbsp;<br> The dataset is part of a project funded by the Polish National Science Centre project no. NCN 2017/26/D/ST10/00630, RiS ID 11108.</p>

opencc-by-4.0Feb 2023View details →
dryad32/100

Data from: Association of in utero persistent organic pollutant exposure with placental thyroid hormones

In utero exposure to persistent organic pollutants (POPs) can result in thyroid function disorder, leading to concerns about their impact on fetal and neonatal development. The present study was performed to investigate the associations between placental levels of various POPs and thyroid hormones (THs). In a prospective Danish study initially established for assessing congenital cryptorchidism, 58 placenta samples were collected from mothers of boys born with (28) and without (30) cryptorchidism. The concentrations of polybrominated diphenyl ethers (PBDEs), polychlorinated biphenyls (PCBs), polychlorinated dibenzo-p-dioxins/furans (PCDD/Fs), organotin chemicals (OTCs), organochlorine pesticides (OCPs), thyroxine (T4), 3,3',5-triiodothyronine (T3), and 3,3',5'-triiodothyronine (rT3) were measured. The associations between placental THs and various POPs were analyzed using multiple linear regression. Five PBDEs, 35 PCBs, 14 PCDD/Fs, 3 OTCs, 25 OCPs, T4, T3, and rT3 were measured. No correlation between THs and the odds of cryptorchidism was found. Several POPs were significantly associated with THs: a) T4 was inversely associated with BDEs 99, 100, ΣPBDE, and 2378-TeCDD, and positively associated with 1234678-HpCDF; b) T3 was positively associated with 2378-TeCDF and 12378-PeCDF; c) rT3 was positively associated with PCB 81, 12378-PeCDF and 234678-HxCDF, and inversely associated with tributyltin (TBT), ΣOTC, and methoxychlor (MOC). These results revealed that POP exposures were associated with TH levels in placenta, a possible mechanism for the impacts of POP exposures on children's growth and development. This study provides new insight into the complexity of thyroid-disrupting properties of POPs. More research is needed to elucidate the biological consequences of POP exposures.

opencc-zeroDec 2017View details →
ClinicalTrials.gov32/100

Characterization of Persistent Organic Pollutants Exposure During Preconception and Preimplantation Development.

ClinicalTrials.gov study NCT04628091. IPD Sharing: NO. Countries: 1. Publications: 5.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Fish or Nuts? Dietary Effects on Cardiometabolic Risk Factors and Persistent Organic Pollutants

ClinicalTrials.gov study NCT02589756. IPD Sharing: Not stated. Countries: 1. Publications: 5.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Nuts and Olestra for Persistent Organic Pollutant Reduction (NO-POPs) Trial

ClinicalTrials.gov study NCT02675101. IPD Sharing: NO. Countries: 1. Publications: 55.

closedIPD-NOFeb 2026View details →
dryad32/100

Data from: Association of in utero persistent organic pollutant exposure with placental thyroid hormones

Open the record for dataset details and reuse information.

publicJun 2019View details →
dryad32/100

Data from: Persistent organic pollution in a high-Arctic top predator: sex-dependent thresholds in adult survival

Open the record for dataset details and reuse information.

publicAug 2013View details →
zenodo28/100

SCAR Persistent Organic Pollutants Database

<p>A compilation of persistent organic pollutant data from Antarctica and the Southern Ocean, entered from journal and other publications. This database is accompanied by an interactive data exploration app at https://pops.apps.aq/</p> <p>Data table schemas</p> <p>Sources data table</p> <p>- source_id: The unique identifier of this source</p> <p>- source_details: The bibliographic details for this source</p> <p>- source_notes: Relevant notes about this source &ndash; if it&rsquo;s a published paper, this is probably the abstract</p> <p>- source_doi: The DOI of the source (paper or dataset), in the form "10.xxxx/yyyy"</p> <p>Main data table</p> <p>- source_id: The identifier of the source study from which this record was obtained (see corresponding entry in the sources data table)</p> <p>- original_record_id: The identifier of this data record in its original source, if it had one</p> <p>- location: The name of the location at which the data was collected</p> <p>- west: The westernmost longitude of the sampling region, in decimal degrees (negative values for western hemisphere longitudes)</p> <p>- east: The easternmost longitude of the sampling region, in decimal degrees (negative values for western hemisphere longitudes)</p> <p>- south: The southernmost latitude of the sampling region, in decimal degrees (negative values for southern hemisphere latitudes)</p> <p>- north: The northernmost latitude of the sampling region, in decimal degrees (negative values for southern hemisphere latitudes)</p> <p>- altitude_min: The minimum altitude of the sampling region, in metres</p> <p>- altitude_max: The maximum altitude of the sampling region, in metres</p> <p>- depth_min: The shallowest depth of the sampling, in metres</p> <p>- depth_max: The deepest depth of the sampling, in metres</p> <p>- observation_date_start: The start of the sampling period</p> <p>- observation_date_end: The end of the sampling period. If sampling was carried out over multiple seasons (e.g. during January of 2002 and January of 2003), this will be the first and last dates (in this example, from 1-Jan-2002 to 31-Jan-2003)</p> <p>- observervation_date_notes: Free-text field containing any notes about the sampling dates</p> <p>- event_id: A unique identifier for the measurement event. All measurements associated with a given event have the same event_id. For example, if a single sample was analyzed for multiple compounds, then each of those compound measurements will have the same event_id, as will any measurements of properties such as air temperature, volume sampled, etc. Rows with the same event_id and measurement_name are essentially the same thing measured during the same event, but may represent different processing methods, different physical samples (see physical_sample_id) or different analytical replicates (see analytical_replicate_id).</p> <p>- physical_sample_id: Where multiple samples were taken from a larger bulk sample, this column identifies the samples</p> <p>- analytical_replicate_id: Where the lab analysis was replicated on each physical sample (i.e. multiple sub-samples of each sample were run through the machine), this column identifies the replicates</p> <p>- analytical_replicate_count: If lab analyses were replicated but the data entered here represent the aggregated results over the replicates, this column holds the number of replicates (analytical_replicate_id column in this case will be blank, because the data being entered pertain to multiple replicates)</p> <p>- sample_notes: free text notes on the sample</p> <p>- taxon_name: The name of the taxon, if applicable. This may differ from taxon_name_original if, for example, taxonomy has changed since the original publication, if the original publication had spelling errors or used common (not scientific) names</p> <p>- taxon_name_original: The name of the taxon, as it appeared in the original source</p> <p>- aphia_id: The numeric identifier of the taxon in the World Register of Marine Species. Likely to be missing for terrestrial taxa</p> <p>- gbif_usage_key: The identifier of the taxon in the GBIF taxonomic backbone</p> <p>- tax_rank, tax_kingdom, tax_phylum, tax_class, tax_order, tax_family, tax_genus: The taxonomic details of the taxon</p> <p>- measurement_substrate: The basis of the measurement (e.g. "gas phase air", or "soil"). Variations in terminology across original publications have been consolidated, to give a more consistent set of terms in this column</p> <p>- measurement_substrate_original: The original measurement substrate term</p> <p>- measurement_substrate_group: measurement_substrate values have been grouped into "Air", "Faeces", "Fat", "Non-Fat Tissue", "Primary Producer", "Snow, Ice Or Water", "Soil Or Sediment", or "Whole Organism"</p> <p>- measurement_name: The name of the compound or quantity that was measured, e.g. "HCB" or "air temperature". Variations in terminology across original publications have been consolidated, to give a more consistent set of terms in this column</p> <p>- measurement_name_original: The original measurement name term</p> <p>- measurement_name_group: measurement_name values have been grouped into "BFRs", "CFRs", "DDTs", "Dioxins and Furans", "Fungicides", "Herbicides", "Insecticides", "Natural organobromine", "OCPs", "OHCs", "OPFRs", "Other BFRs", "PBBs", "PBDEs", "PCBs", "PCNs", "PFAS", "Short Chain Chlorinated Paraffins", and "Unclassified"</p> <p>- measurement_min_value, measurement_max_value, measurement_mean_value: The minimum, maximum, and mean values of the measurements made on this sample</p> <p>- measurement_variability_value: The variability of the measurements made on this sample</p> <p>- measurement_variability_type: The type of variability being reported ("SD", "SE")</p> <p>- measurement_units: The units of measurement</p> <p>- measurement_method: Free-text description of the measurement method</p> <p>- quality_flag: An indicator of the quality of this record. "Q" indicates that the data are known to be questionable for some reason. The reason should be in the notes column. "G" indicates good data</p> <p>- is_secondary_data: An indicator of whether this record was entered from its primary source, or from a secondary citation. "Y" here indicates that the data came from another paper and were being reported in this paper as secondary data. Secondary data records might be removed at a later date and replaced with information from the original source</p> <p>- notes: Any other notes</p> <p>&nbsp;</p>

opencc-by-4.0Feb 2023View details →
geo24/100

A realistic mixture of Persistent Organic Pollutants affects zebrafish embryogenesis and behavior

GEO Series GSE208019. Danio rerio. 10 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2023View details →
geo24/100

Persistent organic pollutants dysregulate energy homeostasis in human ovaries in vitro

GEO Series GSE252776. Homo sapiens. 242 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMay 2024View details →
geo24/100

Association between DNA methylation profiles in leukocytes and serum levels of persistent organic pollutants in Dutch men

GEO Series GSE79329. Homo sapiens. 34 samples. Type: Methylation profiling by genome tiling array.

openGEO-OpenMar 2017View details →
ClinicalTrials.gov24/100

Impact of Exposure to Persistent Organic Pollutants During Pregnancy on the Composition of Breast Milk and Consequences on the Newborn

ClinicalTrials.gov study NCT03969459. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Association Between Persistent Organic Pollutants and Type 2 Diabetes /Thyroid Cancer

ClinicalTrials.gov study NCT05218395. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Pregnant Exposure to Persistent Organic Pollutants

ClinicalTrials.gov study NCT03419026. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Peri-gravidic Exposure to Endocrine Disrupting Persistent Organic Pollutants

ClinicalTrials.gov study NCT03673150. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Persistent Organic Pollutants and Breast Cancers (POPCASE)

ClinicalTrials.gov study NCT02890095. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Exposure to Persistent Organic Pollutants and Severity of Endometriosis in the ComPaRe-Endometriosis Cohort

ClinicalTrials.gov study NCT06973603. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

the Study of Persistent Organic Pollutants in Human Milk

ClinicalTrials.gov study NCT04102085. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →

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