The Department of Marine Resources (DMR) Bureau of Public Health collects surface water grab samples at approximately 1,200 water quality monitoring stations along the Maine coast year-round. Samples are processed in the lab via membrane filtration and enumerated for fecal coliform bacteria. Fecal coliform results are reported as the number of colony forming units (individual bacterium capable of forming colonies) per 100mL of water. DMR scientists analyze data from each station and calculate annual summary statistics using at least 30 of the most recent samples collected under a systematic-random sampling strategy. These values, along with sanitary surveys of the area, help determine whether the water quality is acceptable for harvesting molluscan shellfish.DMR's Shellfish Growing Area Classification Program classifies shellfish areas as Approved, Conditionally Approved, Restricted, Conditionally Restricted or Prohibited using standards set by the National Shellfish Sanitation Program (NSSP), a federal/state cooperative program that sets the requirements for all states involved in interstate shellfish harvest and sale. For more information about the classification of shellfish flats, visit https://www.maine.gov/dmr/fisheries/shellfish/shellfish-growing-area-classification.All classifications are based on two factors: the results of a shoreline survey that investigates the presence of pollution sources, and fecal coliform monitoring results. Two statistical values are calculated from the most recent 30 fecal coliform scores: the geometric mean (geomean) and the 90th percentile (P90). The standards for Approved classification are 14 CFU or less (geomean) and 31 CFU or less (P90). The standards for Restricted are 88 CFU or less (geomean) and 163 CFU or less (P90). The standards for Prohibited are greater than 88 CFU (geomean) and greater than 163 CFU (P90).End of year 2024 P90 data for all Maine active and investigative water quality stations based on the most recent 30 samples. Conditional Area stations are based on last 30 samples in the open status. Data projection is NAD 1983 UTM Zone 19N.

The Department of Marine Resources (DMR) Bureau of Public Health collects surface water grab samples at approximately 1,400 water quality stations along the Maine coast year-round. For each station, after at least 30 samples have been collected under systematic random sampling and analyzed for fecal coliforms, DMR scientists calculate final scores which, along with sanitary surveys of the area, help determine whether the water quality is acceptable for harvesting shellfish. Fecal coliform results are reported as the number of colony forming units (individual bacterium capable of forming colonies) per 100mL of water. Most sample sites show a range of scores, and some sites may have high as well as low scores.The DMR Shellfish Growing Area Classification Program classifies shellfish areas as Approved, Conditionally Approved, Restricted, Conditionally Restricted or Prohibited using standards set by the National Shellfish Sanitation Program (NSSP), a federal/state cooperative program that sets the requirements for all states involved in interstate shellfish harvest and sale. For more information about the classification of shellfish flats, visit https://www.maine.gov/dmr/shellfish-sanitation-management/programs/growingareas/index.html.All classifications are based on two factors: the results of a shoreline survey which looks for the presence of pollution sources and fecal coliform test results. Two statistical values are calculated from the most recent 30 fecal scores: the geometric mean (geomean) and the 90th percentile (P90). The standards for Approved classification are 14 CFU or less (geomean) and 31 CFU or less (P90). The standards for Restricted are 88 CFU or less (geomean) and 163 CFU or less (P90). The standards for Prohibited are greater than 88 CFU (geomean) and greater than 163 CFU (P90).End of year 2021 P90 data for all Maine active water quality stations based on the most recent 30 samples. Conditional Area stations are based on last 30 samples in the open status. Data projection is NAD 1983 UTM Zone 19N.

Blockchain data dashboard: Across p90 Users and Comp Stats

Percentile 90 calculé sur la période productive au sens DCE (mars-octobre) 2003-2009, à partir des Chl-a MODIS traitées par l'algorithme Ifremer OC5.

Median time-to-convert: P50, P75, P90 metrics from first touch to conversion Click-through window: P75 of time-to-convert (e.g., if P75 is 4 days, test 3-7 days) View-through window: 1 day for retargeting, 0 for prospecting High-consideration flows: 7-30 days click window

The Department of Marine Resources (DMR) Bureau of Public Health collects water samples at approximately 1,400 water quality stations along the Maine coast. At each station, after at least 30 samples have been collected under systematic random sampling and analyzed for fecal coliforms, DMR scientists calculate final scores which, along with sanitary surveys of the area, help determine whether the water quality is acceptable for harvesting shellfish. Fecal coliform results are reported as the number of colony forming units (individual bacterium capable of forming colonies) per 100mL of water. Most sample sites show a range of scores, and some sites may have high as well as low scores. The DMR Shellfish Growing Area Classification Program classifies shellfish areas as Approved, Conditionally Approved, Restricted, Conditionally Restricted or Prohibited using standards set by the National Shellfish Sanitation Program (NSSP), a federal/state cooperative program that sets the requirements for all states involved in interstate shellfish harvest and sale. All classifications are based on two factors: the results of a shoreline survey which looks for the presence of pollution sources and fecal coliform test results. For more information about the classification of shellfish flats, visit https://www.maine.gov/dmr/shellfish-sanitation-management/programs/growingareas/index.html.For each water quality station, two statistical values are calculated from the most recent 30 fecal scores: the geometric mean (geomean) and the 90th percentile (P90). The standards for Approved are 14 or less (geomean) and 31 or less (P90). The standards for Restricted are 88 or less (geomean) and 163 or less (P90). The standards for Prohibited are greater than 88 (geomean) and greater than 163 (P90). End of year 2017 P90 data for all Maine active water quality stations are based on the most recent 30 samples. Conditional Area stations are based on last 30 samples in the open status. Data projection is NAD 1983 UTM Zone 19N.

Blockchain data query: ACROSS: P90 Token Distribution using Serotonin data

Statistics on income inequality based on the Gini index and the p90/p10 ratio on various household income concepts (market income, total income, after-tax income) for Canada, provinces and territories, census metropolitan areas and census agglomerations.

General Description The monthly aggregated Methane Volume Mixing Ratio dataset is derived from Sentinel-5P to generate a time-series reconstructed monthly aggregated map. The dataset time spans from December 2021 to November 2023 and provides data that covers the entire globe. The mission is still underway and expected to update periodically. For more info about the s5p Methane product see: https://maps.s5p-pal.com/ch4/. The dataset can be used in many applications like emission tracing, livestock monitor, and greenhouse gas monitor. Monthly time-series: Methane monthly average value December 2021 – November 2023. Derived using the eumap and scikitmap package in Python . We derived three standard statistics: (1) 10th percentile (p10), median (p50), and 90th percentile (p90). Data Details Time period: December 2021 – November 2023 Type of data: Methane Volume Mixing Ratio (Unit: ppbv) How the data was collected or derived: Derived from 2km Sentinel-5P Menthane using Python running in a local HPC. The time-series analysis were computed using the Scikit-map and eumap Python package. Statistical methods used: percentiles 10, 50, and 90. Limitations or exclusions in the data: The dataset is not completed gap-filled. Certain areas have no data in the whole time series Coordinate reference system: EPSG:4326 Bounding box (Xmin, Ymin, Xmax, Ymax): (-180.00000, -61.9966697, 180.0000072, 87.37000) Spatial resolution: 1/60 d.d. = 0.016666667 (2km) Image size: 21,600 x 8,962 File format: Cloud Optimized Geotiff (COG) format. Support If you discover a bug, artifact or inconsistency, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/-/issues General questions and comments: https://disqus.com/home/forums/landgis/ Name convention To ensure consistency and ease of use across and within the projects, we follow the standard Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describes important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files. The fields are: generic variable name: ch4.vmr = methane density methane volume mixing ratio variable procedure combination: m.seacov = monthly aggregated and gap filled by seasonal convolution Position in the probability distribution / variable type: p10/p50/p90 = 10th/50th/90th percentile Spatial support: 2km Depth reference: a = above surface Time reference begin time: 20211201 = 2021-12-01 Time reference end time: 20231131 = 2023-11-31 Bounding box: go = global (without Antarctica) EPSG code: epsg.4326 = EPSG:4326 Version code: v20230628 = 2023-12-08 (creation date)

Wind field ensembles from six CMIP5 models force wave model time slices of the northeast Atlantic over the last three decades of the 20th and the 21st centuries. The future wave climate is investigated by considering the RCP4.5 and RCP8.5 emission scenarios.The CMIP5 model selection is based on their ability to reconstruct the present (1971–2000) extratropical cyclone activity, but increased spatial resolution has also been emphasized. swh-files: Monthly and annual statistics of significant wave height, including mean parameters and upper percentiles.

The data are stable isotope measurements (13C/12C and 15N/14N) obtained from sediment traps and stable isotope data on plankton and suspended particulate matter in the mixed layer obtained from net tows. Sediment trap data are from Station Papa (50 N, 145 W) time-series (bi-weekly) measurements in samples for the period November 1982 to the present, and from Station L (48'39'N,126'40'W) for the period October 1989 to November 1990. (Data manager's note: The author mentions sediment traps on moorings in the North Atlantic, but there is no data for these sites). Net tow data for the Pacific are from Line P (48 35 N 126 24 W to Station Papa) from cruises by the RV JOHN TULLY in Sept-Oct 1992, Feb 1993 and May 1993. New tow data for the Atlantic are from the North Atlantic transect (44 N 54 W to 32 N 11 W) from cruises by the RV HUDSON in September 1992 and May-June 1993. The data are somewhat unusual, in that they represent very specialized numbers on the isotopic composition of nitrogen and carbon in suspended particulate matter, plankton and sediment trap subsamples.

Layers include: Tropospheric Nitrogen Dioxide Density monthly median value May 2018 – November 2022. Derived using the eumap package in Python. We derived three standard statistics: (1) 10th percentile (p10), median (m), and 90th percentile (p10).

Band info

Warning:

Original data have the different range of latitude among months. In December, there are no data above N 58°, where is approximately between Iceland and Scotland. Therefore, when it comes to monthly aggregation, there is a strip across N 58° as an artifact. It is not suggested to use this dataset in the region above N 58°.

For more info about the s5p NO₂ product see: https://maps.s5p-pal.com/. Antarctica is not included.

To access and visualize maps use: OpenLandMap.org

If you discover a bug, artifact or inconsistency, or if you have a question please use some of the following channels:

• Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/-/issues
• General questions and comments: https://disqus.com/home/forums/landgis/

All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL in Cloud Optimised GeoTiff (COG). File naming convention:

• no2 = variable: nitrogen dioxide (µmol m^-2),
• s5p.l3.trop.tmwm= determination method: Copernicus Sentinel-5P product, level 3, tropospheric, temporal moving window median
• p10/p50/p90 = aggregation/statistics method: 10th/50th/90th percentile,
• 2km = spatial resolution / block support: 2 km,
• a = vertical reference: above ground,
• start date_end date (i.e. 20180501_20180531) = time reference: from start date to end date
• go = bounding box: global land without Antarctica
• epsg.4326 = ESPG code: epsg.4326
• v20221219 = version code: creation date 20221219

Wind field ensembles from six CMIP5 models force wave model time slices of the northeast Atlantic over the last three decades of the 20th and the 21st centuries. The future wave climate is investigated by considering the RCP4.5 and RCP8.5 emission scenarios.The CMIP5 model selection is based on their ability to reconstruct the present (1971–2000) extratropical cyclone activity, but increased spatial resolution has also been emphasized. swh-files: Monthly and annual statistics of significant wave height, including mean parameters and upper percentiles.

The ESA WorldCover Sentinel-2 yearly NDVI percentiles color composite is a color image made from images in blue (NDVI p10), green (NDVI p50), red (NDVI p90). It is generated by taking the NDVI timeseries for 2021, after removing clouds and cloud shadows. From the time series the 10th, 50th and 90th percentiles are computed. Evergreen vegetation will appear bright white, unvegetated surfaces will be dark. Surface that shows partial vegetation during the year will appear in color from yellow to red. Worldwide coverage at 10 meters is provided per 1 x 1 degree tile. Note that ocean areas and inner ice sheets do not have tiles. Data is provided as Cloud Optimized GeoTIFFs. The ESA WorldCover Sentinel-2 yearly NDVI percentiles has been produced by a consortium lead by VITO (Belgium) together with Brockmann Consult (Germany), CS SI (France), Gamma Remote Sensing AG (Switzerland), International Institute for Applied Systems Analysis (Austria) and Wageningen University (The Netherlands). Naming convention: ESA_WorldCover_NDVI_10m_[YEAR]_[VERSION]_[TILE]_[LAYER].tif/ * [YEAR] indicates the reference year (observation period) in four digits. * [VERSION] shows the product version. The version denoted as vMmr (e.g. v201), with ‘M’ representing the major version (e.g. v2), ‘m’ the minor version (starting from 0) and ‘r’ the production run number (starting from 1) * [TILE] the designation of the 1 x 1 degree tile, composed of the 2-digit latitude and 3-digit longitude of the lower-left corner. Example: N19W100 for the tile covering the area from 100W to 99W and 19N to 20N. For example: ESA_WorldCover_NDVI_10m_2021_v200_N19W100_Map.tif/

Wind field ensembles from six CMIP5 models force wave model time slices of the northeast Atlantic over the last three decades of the 20th and the 21st centuries. The future wave climate is investigated by considering the RCP4.5 and RCP8.5 emission scenarios.The CMIP5 model selection is based on their ability to reconstruct the present (1971–2000) extratropical cyclone activity, but increased spatial resolution has also been emphasized. swh-files: Monthly and annual statistics of significant wave height, including mean parameters and upper percentiles.

OBJECTIVE: To determine waist circumference and present waist circumference critical values to classify the risk and high risk posed by excessive abdominal fat according to age and gender. METHODS: A probabilistic sample of adolescent students (n=3,175) from public schools in Rio de Janeiro was analyzed. Waist circumference measurements were performed at midpoint between the last rib and the top of the iliac crest. Waist circumference percentiles were estimated using the LMS (Lambda, Mu, Sigma) method proposed by Cole (1990). The cut-points used to determine the risk and high-risk posed by excessive abdominal fat were proposed by Jolliffe & Janssen (2007). RESULTS: Comparing the values estimated, it was observed that the girls had higher waist circumference than the boys at all percentiles (except for P90) and ages. The estimated percentiles were lower in girls and increased with age in both sexes. At all ages, (except for 17 year old boys) and both genders, the estimated values were lower than the reference values used. CONCLUSION: The results obtained confirm the importance of measuring waist circumference in adolescents. This study presents waist circumference critical values for the anthropometric classification of the group studied, which has not yet been reported in the literature with data of Brazilian adolescents.

The Maine Department of Marine Resources Bureau of Public Health (DMR) collects surface water grab samples year-round at approximately 1,400 water quality stations along the Maine coast. Samples are analyzed for fecal coliform bacteria concentrations, and results are reported as the number of colony forming units (individual bacterium capable of forming colonies) per 100mL of water (CFU). Fecal coliform values exhibit wide variability at most water quality stations. For each station, summary statistics are calculated after at least 30 samples have been collected under a systematic random sampling strategy. This information, along with sanitary surveys of the area, help determine whether the water quality is acceptable for harvesting shellfish. The DMR Shellfish Growing Area Classification Program classifies state waters as Approved, Conditionally Approved, Restricted, Conditionally Restricted or Prohibited using standards set by the National Shellfish Sanitation Program (NSSP), a federal/state cooperative program that sets the requirements for all states involved in interstate shellfish harvest and sale. For more information about the classification of shellfish harvesting areas, please visit:https://www.maine.gov/dmr/shellfish-sanitation-management/programs/growingareas/index.html.All classifications are based on two factors: the results of a shoreline survey which looks for the presence of pollution sources, and fecal coliform test results. Two statistical values are calculated from the most recent 30 fecal coliform scores: the geometric mean (geomean) and the geometric 90th percentile (P90). The standards for Approved classification are 14 CFU or less (geomean) and 31 CFU or less (P90). The standards for Restricted are 88 CFU or less (geomean) and 163 CFU or less (P90). The standards for Prohibited are greater than 88 CFU (geomean) and greater than 163 CFU (P90).End of year 2020 P90 data for all active water quality stations are based on the most recent 30 samples from each station. Conditional Area stations are based on last 30 samples in the open status. Data projection is NAD 1983 UTM Zone 19N.

Contains two separate datasets:

Global GFED-based monthly burned area (in ha) time series (1996-2016) at 1 km (downscaled using cubic-splines from 25 km);

Global burned area long term (2000-2012) P90 (quantile probability = 0.9) based on the ESA CCI burned area accumulated weekly product;

Original GFED monthly data is provided as HDF4 files (ftp.fuoco.geog.umd.edu/data/GFED/GFED4). Dataset is described in detail in Giglio et al. (2013). Processing steps are available here. Antarctica is not included.

To access and visualize global datasets use: https://openlandmap.org or watch this video.

If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels:

Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/issues

All files provided as Cloud-Optimized GeoTIFFs / internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention:

nhz = theme: natural hazards,

monthly.burned.ha = variable: estimated monthly burned area in ha,

gfed = data source GFED data,

m = mean value,

1km = spatial resolution / block support: 1 km,

s0..0cm = vertical reference: land surface,

2000.02 = time reference aggregated: month Feb of year 2000,

v4 = version number: GFEDv4,

Wind field ensembles from six CMIP5 models force wave model time slices of the northeast Atlantic over the last three decades of the 20th and the 21st centuries. The future wave climate is investigated by considering the RCP4.5 and RCP8.5 emission scenarios.The CMIP5 model selection is based on their ability to reconstruct the present (1971–2000) extratropical cyclone activity, but increased spatial resolution has also been emphasized. swh-files: Monthly and annual statistics of significant wave height, including mean parameters and upper percentiles.

Wind field ensembles from six CMIP5 models force wave model time slices of the northeast Atlantic over the last three decades of the 20th and the 21st centuries. The future wave climate is investigated by considering the RCP4.5 and RCP8.5 emission scenarios.The CMIP5 model selection is based on their ability to reconstruct the present (1971–2000) extratropical cyclone activity, but increased spatial resolution has also been emphasized. swh-files: Monthly and annual statistics of significant wave height, including mean parameters and upper percentiles.