72 datasets found
  1. C

    GES map heat stress - state 2018

    • ckan.mobidatalab.eu
    • processor1.francecentral.cloudapp.azure.com
    kml, wcs, wms, zip
    Updated Apr 6, 2023
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    Open Data Vlaanderen (2023). GES map heat stress - state 2018 [Dataset]. https://ckan.mobidatalab.eu/zh_Hant_TW/dataset/ges-card-heat-stress-condition-2018
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    kml, wcs, wms, zipAvailable download formats
    Dataset updated
    Apr 6, 2023
    Dataset provided by
    Open Data Vlaanderen
    Description

    Area-wide map of the Health Effects Screening score (GES) of heat stress in Flanders. The indicator is based on the number of heat wave degree days (°C.day) in Flanders in the year 2018, modeled according to the methodology developed by VITO and used by the Flemish Environmental Agency (2018). The heat wave degree day (HGD) indicator indicates where and by how many degrees Celsius the threshold values ​​for minimum and maximum temperatures (respectively 18.2°C and 29.6°C), indicated by the FPS Public Health, are exceeded. For each location, the number of heat wave degree days is added up for all days of the year 2018. To create the GES map, we use the HGD map of 2018, a recently exceptionally warm year. It has been decided to work with the map for an extreme year instead of an annual average map, because the health problems mainly occur during these types of summers, and in this way the potential problem locations are properly visualized and not underestimated. The GES classes were defined in this way: GES 2 = 0 - 20 (°C.day) = "fair" ; GES 3 = 20 - 30 (°C.day) = "fairly moderate" ; GES 4 = 30 - 40 (°C.day) = "moderate" ; GES 5 = 40 - 60 (°C.day) = "very moderate" ; GES 6 = 60 - 80 (°C.day) ="insufficient"; GES 7 = 80-100 (°C.day) = "more than insufficient"; GES 8 > 100 (°C.day) = "very insufficient". GES 6 corresponds to at least 60 heat wave degree days, a value that occurred in Antwerp in 2003 and for which it is known that there were many victims as a result of heat stress. However, a lower number of heat wave degree days also has negative effects on health. The map can be used to detect potential problem areas for heat stress in Flanders. In addition to air temperature, however, radiation exposure (both short-wave and long-wave), humidity and wind speed are also important factors in determining heat stress and human thermal comfort. The modeling does not take this into account. Locally, the heat stress actually experienced can therefore be higher (for example due to local radiation from, for example, concrete or asphalt pavement) or lower (for example due to shade provided by trees).

  2. AIRS/Aqua Granule map product V005 (AIRXAMAP) at GES DISC

    • catalog.data.gov
    • data.nasa.gov
    • +3more
    Updated Apr 11, 2025
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    NASA/GSFC/SED/ESD/GCDC/GESDISC (2025). AIRS/Aqua Granule map product V005 (AIRXAMAP) at GES DISC [Dataset]. https://catalog.data.gov/dataset/airs-aqua-granule-map-product-v005-airxamap-at-ges-disc
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    Dataset updated
    Apr 11, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. An AIRS granule has been set as 6 minutes of data, 30 footprints cross track by 45 lines along track. The AIRS Granule Map Product consists of images of granule coverage in PDF and JPG format. The images are daily ones but updated every 6 minutes to capture any new available granule. Granules are assembled by ascending, descending, in north and south hemisphere, and the maps are in global cylindrical projection and satellite projection for better view.

  3. C

    GES map heat stress - state 2003

    • ckan.mobidatalab.eu
    kml, tif, wcs, wms +1
    Updated Apr 6, 2023
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    Open Data Vlaanderen (2023). GES map heat stress - state 2003 [Dataset]. https://ckan.mobidatalab.eu/dataset/ges-map-heat-stress-condition-2003
    Explore at:
    wcs, kml, wms, zip, tifAvailable download formats
    Dataset updated
    Apr 6, 2023
    Dataset provided by
    Open Data Vlaanderen
    Description

    Area-wide map of the Health Effects Screening score (GES) of heat stress in Flanders. The indicator is based on the number of heat wave degree days (°C.day) in Flanders in the year 2003, modeled for the Flemish Environmental Agency (2018). The heat wave degree day (HGD) indicator indicates where and by how many degrees Celsius the threshold values ​​for minimum and maximum temperatures (respectively 18.2°C and 29.6°C), indicated by the FPS Public Health, are exceeded. For each location, the number of heat wave degree days is added up for all days of the year 2003. To create the GES map, we use the HGD map of 2003, a very warm year that is also used as a reference in the study by the Flemish Environmental Agency (2018). It has been decided to work with the map for an extreme year instead of an annual average map, because the health problems mainly occur during these types of summers, and in this way the potential problem locations are properly visualized and not underestimated. The GES classes were defined in this way: GES 2 = 0 - 20 (°C.day) = "fair" ; GES 3 = 20 - 30 (°C.day) = "fairly moderate" ; GES 4 = 30 - 40 (°C.day) = "moderate" ; GES 5 = 40 - 60 (°C.day) = "very moderate" ; GES 6 = 60 - 80 (°C.day) ="insufficient"; GES 7 = 80-100 (°C.day) = "more than insufficient"; GES 8 > 100 (°C.day) = "very insufficient". GES 6 corresponds to at least 60 heat wave degree days, a value that occurs in Antwerp in the year 2003 and for which it is known that there were many victims as a result of heat stress. however, a lower number of heat wave degree days also has negative effects on health. The map can be used to detect potential problem areas for heat stress in Flanders. In addition to air temperature, however, radiation exposure (both short-wave and long-wave), humidity and wind speed are also important factors in determining heat stress and human thermal comfort. The modeling does not take this into account. Locally, the heat stress actually experienced can therefore be higher (for example due to local radiation from, for example, concrete or asphalt pavement) or lower (for example due to shade provided by trees).

  4. b

    Bruit de la carte GES - état 2016

    • ldf.belgif.be
    Updated Apr 20, 2020
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    (2020). Bruit de la carte GES - état 2016 [Dataset]. https://ldf.belgif.be/datagovbe?subject=https%3A%2F%2Fmetadata.omgeving.vlaanderen.be%2Fsrv%2Fresources%2Fdatasets%2Fc0faf723-e0a2-4fc4-a43b-04a4fb44334a
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    Dataset updated
    Apr 20, 2020
    Variables measured
    http://publications.europa.eu/resource/authority/data-theme/HEAL, http://publications.europa.eu/resource/authority/data-theme/REGI
    Description

    Kaart van de Gezondheid Effecten Screening score (GES) van omgevingslawaai in Vlaanderen. De indicator is gebaseerd op de strategische geluidsbelastingkaarten Lden voor het referentiejaar 2016 voor belangrijke wegen, belangrijke spoorwegen en voor de luchthaven Brussel, aangevuld met de strategische geluidsbelastingkaarten Lden voor agglomeratie Antwerpen (referentiejaar 2016), Gent (referentiejaar 2016) en Brugge (referentie jaar 2011) zoals goedgekeurd door de Vlaamse regering in 2018 in uitvoering van de Europese richtlijn omgevingslawaai. De bestaande indicatoren werden omgerekend naar hinder-equivalente Lden waarden om vervolgens te komen tot een cumulatieve geluidbelastingskaart. De kaart kan gebruikt worden om potentiële probleemgebieden voor omgevingslawaai te detecteren. De kaart is echter niet gebiedsdekkend aangezien de geluidbelasting enkel berekend werd voor belangrijke verkeersinfrastructuren en de drie agglomeraties, hierdoor ontbreekt er data voor bijvoorbeeld lokale wegen of industriële bronnen buiten de agglomeraties. Hierdoor is er voor veel omgevingen geen data beschikbaar, en wordt de geluidbelasting op sommige locaties onderschat. De cumulatieve hinder-equivalente Lden waarden werden vervolgens met behulp van de Nederlandse methodiek Gezondheid Effect Screening (GES) verdeeld in klassen die een inzicht geven in potentiële gezondheidseffecten als eerste indicatie voor het lokale omgevingslawaai in de gekarteerde gebieden. De GES klassen werden op deze manier gedefinieerd: GES 0 73dB(A) = "zeer onvoldoende". Scores vanaf GES 6 kunnen gelinkt worden aan het optreden van hart- en vaatziekten op basis van evidentie uit epidemiologisch onderzoek. Ook bij lagere geluidsbelastingen kunnen er echter negatieve effecten op de gezondheid optreden.

  5. C

    GES air quality map - state 2017

    • ckan.mobidatalab.eu
    kml, tif, wcs, wms +1
    Updated Apr 6, 2023
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    Open Data Vlaanderen (2023). GES air quality map - state 2017 [Dataset]. https://ckan.mobidatalab.eu/dataset/ges-map-air-quality-condition-2017
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    wms, zip, kml, wcs, tifAvailable download formats
    Dataset updated
    Apr 6, 2023
    Dataset provided by
    Open Data Vlaanderen
    Description

    Area-wide map of the Health Effects Screening score (GES) of local air quality in Flanders. The indicator is based on the annual average NO2 (nitrogen dioxide) concentrations (Vlaamse Milieumaatschappij 2017), which was modeled with the RIO-IFDM-OSPM model chain. This pollutant was taken as a basis because of its large spatial variation, strong link with local emissions and well-documented health effects. The NO2 concentrations were then divided into classes using the Dutch Health Effect Screening (GES) methodology, which provide an insight into the potential health effects of air pollution by NO2, as a first indication of local air quality. Naturally, other pollutants (such as particulate matter or ozone) are also important in the further analysis and assessment of local air quality. The GES classes were defined in this way: GES 1 = 0-10 µg/m³ annual average NO2 = "good" ; GES 4 = 10-20 µg/m³ annual average NO2 = "moderate"; GES 6 = 20-30 µg/m³ annual average NO2= "insufficient", GES 7 = 30-40 µg/m³ annual average NO2= "more than insufficient", GES 8 >40 µg/m³ annual average NO2= "very insufficient". From GES 6, the health guideline value as recommended by the Agency for Care and Health (maximum 20 µg/m³ annual average NO2) is exceeded, but lower concentrations also have negative effects on health.

  6. TRMM Ground Validation Radar Site Rain Type Totals Map L3 1 month 2 km V7...

    • catalog.data.gov
    • datasets.ai
    • +3more
    Updated Apr 10, 2025
    + more versions
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    NASA/GSFC/SED/ESD/GCDC/GESDISC (2025). TRMM Ground Validation Radar Site Rain Type Totals Map L3 1 month 2 km V7 (TRMM_3A54) at GES DISC [Dataset]. https://catalog.data.gov/dataset/trmm-ground-validation-radar-site-rain-type-totals-map-l3-1-month-2-km-v7-trmm-3a54-at-ges
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    Dataset updated
    Apr 10, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    The 3A54 product, 'Site Rainfall Map', is a map of monthly surface rain totals derived from the instantaneous rain rate maps (2A53). The map is in Cartesian coordinates with a 2 km horizontal resolution and covers an area of 300km x 300km at single radar sites while the covered area varies for multiple radar sites - 724 km x 568 km at Texas site and 512 km x 704 km at Florida site. This monthly rainfall map is not a simple accumulation of the instantaneous maps as gaps in the data must be factored into the calculation. A key component of the TRMM project is the Ground Validation (GV) effort which consists of collecting data from ground-based radar, rain gauges and disdrometers. The data is quality-controlled, and then validation products are produced for comparison with TRMM satellite products. The four primary GV sites are: Darwin, Australia; Houston, Texas; Kwajalein, Republic of the Marshall Islands; Melbourne, Florida. A significant effort is also being supported at NASA Wallops Flight Facility (WFF) and vicinity to provide high quality, long-term measurements of rain rates (via a network of rain gauges collocated with National Weather Service gauges), as well as drop size distributions (DSD) using a variety of instruments, including impact-type Joss Waldvogel, laser-optical Parsivel, as well as two-dimensional video disdrometers. DSD measurements are also being collected at Melbourne and Kwajalein using Joss-Waldvogel disdrometers.

  7. C

    Health map GES Noise national roads Lden 2013

    • ckan.mobidatalab.eu
    Updated Jul 13, 2023
    + more versions
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    OverheidNl (2023). Health map GES Noise national roads Lden 2013 [Dataset]. https://ckan.mobidatalab.eu/is/dataset/10585-gezondheidskaart-ges-geluid-rijkswegen-lden-2013
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    http://publications.europa.eu/resource/authority/file-type/zip, http://publications.europa.eu/resource/authority/file-type/wfs_srvc, http://publications.europa.eu/resource/authority/file-type/png, http://publications.europa.eu/resource/authority/file-type/wms_srvcAvailable download formats
    Dataset updated
    Jul 13, 2023
    Dataset provided by
    OverheidNl
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This file contains data on exposure to road traffic noise due to the highways in North Brabant. and its translation into health risks, so-called GES scores. Calculated noise contours Lden have been translated into GES scores in accordance with the 2012 City & Environment Health Impact Screening Handbook: 55-60 dB = GES 4 (moderate); 60-65 dB = GES 5 (very moderate); 65-70 dB = GES 6 (insufficient); 70-75 dB = GES 7 (more than insufficient); >= 75 dB = GES 8 (very unsatisfactory). The Health Effect Screening (GES) method gives a score (from 0 to 8) to the environmental health quality. Shown on the map from green (GES score 0, very good) through yellow, orange and red (GES score 6, unsatisfactory) to purple (GES score 8, very unsatisfactory). These scores are based on knowledge about the relationship between exposure and health risks. The noise contours reflect the situation for the reference year 2011. The noise load has been calculated for the entire national road network. The combined noise impact with provincial or municipal roads or rail traffic, air traffic and/or companies has not been determined. In reality, when multiple noise sources are combined, the noise impact and thus the health effect can be higher.

  8. TRMM Ground Validation Radar Site Rain Type Map L2 1 hour 2 km V7...

    • catalog.data.gov
    • data.nasa.gov
    • +1more
    Updated Apr 10, 2025
    + more versions
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    NASA/GSFC/SED/ESD/GCDC/GESDISC (2025). TRMM Ground Validation Radar Site Rain Type Map L2 1 hour 2 km V7 (TRMM_2A54) at GES DISC [Dataset]. https://catalog.data.gov/dataset/trmm-ground-validation-radar-site-rain-type-map-l2-1-hour-2-km-v7-trmm-2a54-at-ges-disc
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    Dataset updated
    Apr 10, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    'Radar Site Convective/Stratiform Map', is an instantaneous map in Cartesian coordinates with a 2 km resolution. At single radar sites, the map covers an area of 300 km x 300 km. For the multiple radar site in Texas, the map covers a region of 724 km x 568 km, and in Florida 512 km x 704 km. The map identifies the surface precipitation as convective or stratiform. A key component of the TRMM project is the Ground Validation (GV) effort which consists of collecting data from ground-based radar, rain gauges and disdrometers. The data is quality-controlled, and then validation products are produced for comparison with TRMM satellite products. The four primary GV sites are: Darwin, Australia; Houston, Texas; Kwajalein, Republic of the Marshall Islands; Melbourne, Florida. A significant effort is also being supported at NASA Wallops Flight Facility (WFF) and vicinity to provide high quality, long-term measurements of rain rates (via a network of rain gauges collocated with National Weather Service gauges), as well as drop size distributions (DSD) using a variety of instruments, including impact-type Joss Waldvogel, laser-optical Parsivel, as well as two-dimensional video disdrometers. DSD measurements are also being collected at Melbourne and Kwajalein using Joss-Waldvogel disdrometers.

  9. TRMM Ground Validation Radar Site Rain Rate Map L2 1 hour 2 km V7...

    • data.nasa.gov
    • cmr.earthdata.nasa.gov
    • +2more
    Updated Mar 31, 2025
    + more versions
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    nasa.gov (2025). TRMM Ground Validation Radar Site Rain Rate Map L2 1 hour 2 km V7 (TRMM_2A53UW) at GES DISC [Dataset]. https://data.nasa.gov/dataset/trmm-ground-validation-radar-site-rain-rate-map-l2-1-hour-2-km-v7-trmm-2a53uw-at-ges-disc
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    Dataset updated
    Mar 31, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    This dataset is part of the University of Washington TRMM Ground Validation products. Instantaneous rain rate cartesian grid based on baseUW and 2A54UW. Units are mm/hr. Min range is 17 km, max range is 150 km. Note that in the netCDF files, "alt" (altitude) is assigned the elevation angle of the lowest sweep (which is used to create baseUW) and "z_spacing" has no meaning. A key component of the TRMM project is the Ground Validation (GV) effort which consists of collecting data from ground-based radar, rain gauges and disdrometers. The data is quality-controlled, and then validation products are produced for comparison with TRMM satellite products. The four primary GV sites are: Darwin, Australia; Houston, Texas; Kwajalein, Republic of the Marshall Islands; Melbourne, Florida. A significant effort is also being supported at NASA Wallops Flight Facility (WFF) and vicinity to provide high quality, long-term measurements of rain rates (via a network of rain gauges collocated with National Weather Service gauges), as well as drop size distributions (DSD) using a variety of instruments, including impact-type Joss Waldvogel, laser-optical Parsivel, as well as two-dimensional video disdrometers. DSD measurements are also being collected at Melbourne and Kwajalein using Joss-Waldvogel disdrometers.

  10. C

    Health card GES Air quality particulate matter (pm10) 2014

    • ckan.mobidatalab.eu
    zip
    Updated Jun 7, 2023
    + more versions
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    NationaalGeoregisterNL (2023). Health card GES Air quality particulate matter (pm10) 2014 [Dataset]. https://ckan.mobidatalab.eu/dataset/healthcard-ges-airquality-particulatematter-pm10-2014
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    zipAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    NationaalGeoregisterNL
    Description

    This file contains data on exposure to fine dust (pm10) in North Brabant 1n 2013 and its translation into health risks, so-called GES scores. Calculated particulate matter (pm10) concentrations (annual averages in micrograms/m3) have been translated into GES scores in accordance with the 2012 City & Environment Health Effect Screening Handbook: <19.5 = GES 3 (fairly moderate); 19.5 - 24.5 = GES 4a (moderate); 24.5 - 29.5 = GES 4b (moderate to very moderate); 29.5 - 34.5 = GES 5 (very moderate). Higher values ​​do not occur. The Health Effect Screening (GES) method gives a score (from 0 to 8) to the environmental health quality. Shown on the map from green (GES score 0, very good) through yellow, orange and red (GES score 6, unsatisfactory) to purple (GES score 8, very unsatisfactory). These scores are based on knowledge about the relationship between exposure and health risks.

  11. e

    GES-kaart luchtkwaliteit - toestand 2017

    • data.europa.eu
    geotiff, wcs, wms
    Updated Nov 22, 2023
    + more versions
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    Departement Omgeving (2023). GES-kaart luchtkwaliteit - toestand 2017 [Dataset]. https://data.europa.eu/data/datasets/752ea150-b80b-4d6d-bf19-ad46a50f6d8d~~4?locale=bg
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    wcs, geotiff, wmsAvailable download formats
    Dataset updated
    Nov 22, 2023
    Dataset authored and provided by
    Departement Omgeving
    License

    http://data.vlaanderen.be/id/licentie/modellicentie-gratis-hergebruik/v1.0http://data.vlaanderen.be/id/licentie/modellicentie-gratis-hergebruik/v1.0

    Description

    Coverage map of the Health Effects Screening score (GES) of local air quality in Flanders. The indicator is based on the annual average NO2 (nitrogen dioxide) concentrations (Vlaamse Milieumaatschappij 2017), which was modelled with the RIO-IFDM-OSPM model chain. This pollutant was taken as a basis because of its large spatial variation, strong link with local emissions and well-documented health effects. The concentrations of NO2 were then divided into classes using the Dutch methodology Health Effect Screening (GES) that provide an insight into potential health effects of air pollution by NO2, as the first indication for local air quality. Of course, other pollutants (e.g. particulate matter or ozone) are also important in the further analysis and assessment of local air quality. The GES classes were defined in this way: GES 1 = 0-10 μg/m3 annual mean NO2 = "good"; GES 4 = 10-20 μg/m3 annual mean NO2 = "moderate"; GES 6 = 20-30 μg/m3 annual mean NO2= "insufficient", GES 7 = 30-40 μg/m3 annual mean NO2= "extremely insufficient", GES 8 >40 μg/m3 annual mean NO2= "very insufficient". From GES 6, the health advice value as advised by the Agency for Care and Health (maximum 20 μg/m3 annual mean NO2) is exceeded, but lower concentrations also have negative effects on health.

  12. m

    Functional mapping of the stomach neural circuitry - gastric electrical...

    • mapcore-demo.org
    • discover.pennsieve.io
    • +1more
    Updated Jul 26, 2022
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    Zhenjun Tan; Matthew Ward; Robert Phillips; Xueguo Zhang; Deborah Jaffey; Logan Chesney; Bartek Rajwa; Elizabeth Baronowsky; Jennifer McAdams; Terry Powley (2022). Functional mapping of the stomach neural circuitry - gastric electrical stimulation (GES) evoked duodenal motility in rats [Dataset]. http://doi.org/10.26275/rtzw-x9u4
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    Dataset updated
    Jul 26, 2022
    Dataset provided by
    SPARC Consortium
    Authors
    Zhenjun Tan; Matthew Ward; Robert Phillips; Xueguo Zhang; Deborah Jaffey; Logan Chesney; Bartek Rajwa; Elizabeth Baronowsky; Jennifer McAdams; Terry Powley
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    A detailed topographic map of regional gastric effects on duodenal motility, using duodenal motor responses elicited by gastric stimulation in different regions.

  13. b

    Carte GES du stress thermique - état 2018

    • ldf.belgif.be
    Updated Nov 12, 2021
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    (2021). Carte GES du stress thermique - état 2018 [Dataset]. https://ldf.belgif.be/datagovbe?subject=https%3A%2F%2Fmetadata.omgeving.vlaanderen.be%2Fsrv%2Fresources%2Fdatasets%2Fdc95ee40-6d01-4a9b-810c-43a7f1e224c4
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    Dataset updated
    Nov 12, 2021
    Variables measured
    http://publications.europa.eu/resource/authority/data-theme/HEAL
    Description

    Coverage map of the Health Effects Screening score (GES) of heat stress in Flanders. The indicator is based on the number of heat wave days (°C.day) in Flanders in the year 2018, modelled according to the methodology developed by VITO and used by the Flemish Environment Agency (2018). The indicator heat wave degree day (HGD) indicates where and by how many degrees Celsius the threshold values for minimum and maximum temperatures (respectively 18.2°C and 29.6°C), indicated by the FPS Public Health, are exceeded. For each location, the number of heat wave days is added up for all days of the year 2018. For the creation of the GES card, we use the HGD card of 2018, a recent exceptionally warm year. It has been opted to work with the map for an extreme year instead of an annual average map, because the health problems mainly occur during these types of summers, and in this way the potential problem locations are well identified and not underestimated. The GES classes were defined in this way: GES 2 = 0 - 20 (°C.day) = "reasonable"; GES 3 = 20 - 30 (°C.day) = "fairly moderate"; GES 4 = 30 - 40 (°C.day) = "moderate"; GES 5 = 40 - 60 (°C.day) = "very moderate"; GES 6 = 60 - 80 (°C.day) ="insufficient"; GES 7 = 80-100 (°C.day) = "well insufficient"; GES 8 > 100 (°C.day) = "very insufficient". GES 6 corresponds to at least 60 heat wave days, a value that occurred in Antwerp in the year 2003 and which is known to have suffered many casualties due to heat stress. However, a lower number of heat wave days also has negative effects on health. The map can be used to detect potential problem areas for heat stress in Flanders. In addition to air temperature, however, radiation load (both short-wave and long-wave), humidity and wind speed are also important factors in determining heat stress and human thermal comfort. The modelling does not take this into account. Locally, the actual heat stress experienced can therefore be higher (for example, due to local radiation from, for example, concrete or asphalt pavement) or lower (for example, because of shade from trees).

  14. TRMM Ground Validation Radar Site Rain Type Map L2 1 hour 2 km V7...

    • data.nasa.gov
    • data.staging.idas-ds1.appdat.jsc.nasa.gov
    Updated Mar 31, 2025
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    nasa.gov (2025). TRMM Ground Validation Radar Site Rain Type Map L2 1 hour 2 km V7 (TRMM_2A54UW) at GES DISC - Dataset - NASA Open Data Portal [Dataset]. https://data.nasa.gov/dataset/trmm-ground-validation-radar-site-rain-type-map-l2-1-hour-2-km-v7-trmm-2a54uw-at-ges-disc
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    Dataset updated
    Mar 31, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    This dataset is part of the University of Washington TRMM Ground Validation products. Instantaneous convective-stratiform cartesian grid based on baseUW. Values are 0 (no echo), 1 (stratiform), and 2 (convective). Min range is 17 km, max range is 150 km. Note that in the netCDF files, "alt" (altitude) is assigned the elevation angle of the lowest sweep (which is used to create baseUW) and "z_spacing" has no meaning. A key component of the TRMM project is the Ground Validation (GV) effort which consists of collecting data from ground-based radar, rain gauges and disdrometers. The data is quality-controlled, and then validation products are produced for comparison with TRMM satellite products. The four primary GV sites are: Darwin, Australia; Houston, Texas; Kwajalein, Republic of the Marshall Islands; Melbourne, Florida. A significant effort is also being supported at NASA Wallops Flight Facility (WFF) and vicinity to provide high quality, long-term measurements of rain rates (via a network of rain gauges collocated with National Weather Service gauges), as well as drop size distributions (DSD) using a variety of instruments, including impact-type Joss Waldvogel, laser-optical Parsivel, as well as two-dimensional video disdrometers. DSD measurements are also being collected at Melbourne and Kwajalein using Joss-Waldvogel disdrometers.

  15. g

    Sounder SIPS: Suomi-NPP ATMS Level 1 Daily Polygon Granule Map at GES DISC

    • gimi9.com
    • data.nasa.gov
    • +2more
    Updated Jun 17, 2017
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    (2017). Sounder SIPS: Suomi-NPP ATMS Level 1 Daily Polygon Granule Map at GES DISC [Dataset]. https://gimi9.com/dataset/data-gov_sounder-sips-suomi-npp-atms-level-1-daily-polygon-granule-map-at-ges-disc-85d40
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    Dataset updated
    Jun 17, 2017
    Description

    The Advanced Technology Microwave Sounder (ATMS) Level 1B data files contain brightness temperature measurements along with ancillary spacecraft, instrument, and geolocation data of the ATMS instrument on the Suomi National Polar-orbiting Partnership Project (S-NPP).The ATMS instrument is a cross-track scanner with 22 microwave channels in the range 23.8-183.31 Gigahertz (GHz). The beam width is 1.1 degrees for the channels in the 160-183 GHz range, 2.2 degrees for the 80 GHz and 50-60 GHz channels, and 5.2 degrees for the 23.8 and 31.4 GHz channels. Since the SNPP satellite is orbiting at an altitude of about 830 km, the instantaneous spatial resolution on the ground at nadir is about 16 km, 32 km, or 75 km depending upon the channel. The brightness temperature data are contained in an array with 135 rows in the along-track direction, 96 columns in the cross-track direction, and a 3rd dimension for each of the 22 channels. The ATMS cross-track scan interval is 0.018 seconds and the along-track scan period is 8.3 seconds. Data products are constructed on six minute boundaries. The Granule Map Product consists of daily images of granule coverage in PDF format.

  16. Sounder SIPS: JPSS-1 ATMS Level 1 Daily Polygon Granule Map at GES DISC

    • catalog.data.gov
    Updated Jun 28, 2025
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    NASA/GSFC/SED/ESD/GCDC/GESDISC (2025). Sounder SIPS: JPSS-1 ATMS Level 1 Daily Polygon Granule Map at GES DISC [Dataset]. https://catalog.data.gov/dataset/sounder-sips-jpss-1-atms-level-1-daily-polygon-granule-map-at-ges-disc
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    Dataset updated
    Jun 28, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    The Advanced Technology Microwave Sounder (ATMS) Level 1B data files contain brightness temperature measurements along with ancillary spacecraft, instrument, and geolocation data of the ATMS instrument on the Joint Polar Satellite System-1 (JPSS-1) platform. This platform is also known as NOAA-20 (National Oceanic and Atmospheric Administration). The ATMS is a 22-channel mm-wave radiometer. The ATMS will measure upwelling radiances in six frequency bands centered at 23 GHz, 31 GHz, 50-58 GHz, 89 GHz, 66 GHz, and 183 GHz. The ATMS is a total power radiometer, with "through-the-antenna" radiometric calibration. Radiometric data is collected by a pair of antenna apertures, scanned by rotating flat plate reflectors. Scanning is performed cross-track to the satellite motion from sun to anti-sun, using the "integrate-while-scan" type data collection. The scan period is 8/3 second, synchronized to the Cross-track Infrared Sounder (CrIS) using a spacecraft provided scan synchronization pulse.Since the JPSS-1 satellite is orbiting at an altitude of about 830 km, the instantaneous spatial resolution on the ground at nadir is about 16 km, 32 km, or 75 km depending upon the channel. The brightness temperature data are contained in an array with 135 rows in the along-track direction, 96 columns in the cross-track direction, and a 3rd dimension for each of the 22 channels. The ATMS cross-track scan interval is 0.018 seconds and the along-track scan period is 8/3 seconds.. Data products are constructed on six minute boundaries. The Granule Map Product consists of daily images of granule coverage in PDF format.

  17. TRMM Ground Validation Radar Site 3D Rain Map L3 1 month 2 km V7 (TRMM_3A55)...

    • catalog.data.gov
    • cmr.earthdata.nasa.gov
    • +2more
    Updated Apr 10, 2025
    + more versions
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    NASA/GSFC/SED/ESD/GCDC/GESDISC (2025). TRMM Ground Validation Radar Site 3D Rain Map L3 1 month 2 km V7 (TRMM_3A55) at GES DISC [Dataset]. https://catalog.data.gov/dataset/trmm-ground-validation-radar-site-3d-rain-map-l3-1-month-2-km-v7-trmm-3a55-at-ges-disc
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    Dataset updated
    Apr 10, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    The 3A55, 'Monthly 3-D Structure', provides radar site monthly 3-D structure information obtained from 2A55. The 2A55 'Radar Site 3-D Reflectivities', is composed of 3 different fields. The first field has an array of 3-D reflectivities in Cartesian coordinates with a 2 km horizontal resolution over an area of 300 km x 300 km for single radar sites, and 724 km x 568 km for Texas multiple radar site, 512 km x 704 km for Florida multiple radar site. It has a vertical resolution of 1.5km and a height range up to 19.5 km. The second field has an array of vertical profiles based on the first field, and the third field has an array of the Contoured Frequency by Altitude Diagram (CFAD) data based on the first and second field. A key component of the TRMM project is the Ground Validation (GV) effort which consists of collecting data from ground-based radar, rain gauges and disdrometers. The data is quality-controlled, and then validation products are produced for comparison with TRMM satellite products. The four primary GV sites are: Darwin, Australia; Houston, Texas; Kwajalein, Republic of the Marshall Islands; Melbourne, Florida. A significant effort is also being supported at NASA Wallops Flight Facility (WFF) and vicinity to provide high quality, long-term measurements of rain rates (via a network of rain gauges collocated with National Weather Service gauges), as well as drop size distributions (DSD) using a variety of instruments, including impact-type Joss Waldvogel, laser-optical Parsivel, as well as two-dimensional video disdrometers. DSD measurements are also being collected at Melbourne and Kwajalein using Joss-Waldvogel disdrometers.

  18. TRMM Ground Validation Radar Site Rain Totals Map L3 5 days 2 km V7...

    • catalog.data.gov
    • cmr.earthdata.nasa.gov
    Updated Apr 10, 2025
    + more versions
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    NASA/GSFC/SED/ESD/GCDC/GESDISC (2025). TRMM Ground Validation Radar Site Rain Totals Map L3 5 days 2 km V7 (TRMM_3A53) at GES DISC [Dataset]. https://catalog.data.gov/dataset/trmm-ground-validation-radar-site-rain-totals-map-l3-5-days-2-km-v7-trmm-3a53-at-ges-disc
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    Dataset updated
    Apr 10, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    This is the 5-day accumulation of the 2A53 product, 'Radar Site Rain Map', which originally is an instantaneous surface rain rate map in Cartesian coordinates with a 2 km horizontal resolution. At single radar sites, the map covers an area of 300km x 300km. For the multiple radar site in Texas, the map covers a region of 724 km x 568 km, and in Florida 512 km x 704 km. A key component of the TRMM project is the Ground Validation (GV) effort which consists of collecting data from ground-based radar, rain gauges and disdrometers. The data is quality-controlled, and then validation products are produced for comparison with TRMM satellite products. The four primary GV sites are: Darwin, Australia; Houston, Texas; Kwajalein, Republic of the Marshall Islands; Melbourne, Florida. A significant effort is also being supported at NASA Wallops Flight Facility (WFF) and vicinity to provide high quality, long-term measurements of rain rates (via a network of rain gauges collocated with National Weather Service gauges), as well as drop size distributions (DSD) using a variety of instruments, including impact-type Joss Waldvogel, laser-optical Parsivel, as well as two-dimensional video disdrometers. DSD measurements are also being collected at Melbourne and Kwajalein using Joss-Waldvogel disdrometers.

  19. g

    Sounder SIPS: Suomi-NPP ATMS Level 1 Daily Polygon Granule Map at GES DISC |...

    • gimi9.com
    + more versions
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    Sounder SIPS: Suomi-NPP ATMS Level 1 Daily Polygon Granule Map at GES DISC | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_sounder-sips-suomi-npp-atms-level-1-daily-polygon-granule-map-at-ges-disc/
    Explore at:
    Description

    The Advanced Technology Microwave Sounder (ATMS) Level 1B data files contain brightness temperature measurements along with ancillary spacecraft, instrument, and geolocation data of the ATMS instrument on the Suomi National Polar-orbiting Partnership Project (S-NPP). The ATMS instrument is a cross-track scanner with 22 microwave channels in the range 23.8-183.31 Gigahertz (GHz). The beam width is 1.1 degrees for the channels in the 160-183 GHz range, 2.2 degrees for the 80 GHz and 50-60 GHz channels, and 5.2 degrees for the 23.8 and 31.4 GHz channels. Since the SNPP satellite is orbiting at an altitude of about 830 km, the instantaneous spatial resolution on the ground at nadir is about 16 km, 32 km, or 75 km depending upon the channel. The brightness temperature data are contained in an array with 135 rows in the along-track direction, 96 columns in the cross-track direction, and a 3rd dimension for each of the 22 channels. The ATMS cross-track scan interval is 0.018 seconds and the along-track scan period is 8.3 seconds. Data products are constructed on six minute boundaries. The Granule Map Product consists of daily images of granule coverage in PDF format.

  20. d

    The significance of the world map in video games for the interpretation of...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Sep 25, 2024
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    Horbiński, Tymoteusz (2024). The significance of the world map in video games for the interpretation of spatial situations using the example of The Witcher 3: Wild Hunt [Dataset]. http://doi.org/10.7910/DVN/ZVBNY0
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    Dataset updated
    Sep 25, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Horbiński, Tymoteusz
    Description

    This article examines the significance of the world map in video games for the interpretation of spatial situations. An example is the popular role-playing game The Witcher 3: Wild Hunt. Nowadays, most video games are characterized by the presence of a spatial aspect. The game world map is the most important navigational element of the game that the gamer can use. To this end, the authors decided to test the importance of the game world map in the context of analyzing different examples of spatial situations that appear in The Witcher 3: Wild Hunt by the respondents. Eye movement tracking was chosen as the research method. The analysis was conducted using statistical tests. Both gamers and non-gamers of The Witcher 3: Wild Hunt, gamers and non-gamers in general, and people who identified themselves as women or men participated in the survey. Each subject was shown 5 movies (1 introductory movie, 4 movies in the main part of the study) from the gameplay of the game, in which the game world map was opened. After each video, a question was asked about both the gameplay and the game world map. It was found that familiarity with The Witcher 3: Wild Hunt, frequency of playing video games and gender influenced the correctness and time of answering the questions asked. In addition, it was found that the game world map and gameplay segments do not cognitively burden the users. Differences in visual strategy were observed between the groups of test subjects. The authors emphasized the importance of conducting further research on video games in relation to the analysis of spatial situations.

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Open Data Vlaanderen (2023). GES map heat stress - state 2018 [Dataset]. https://ckan.mobidatalab.eu/zh_Hant_TW/dataset/ges-card-heat-stress-condition-2018

GES map heat stress - state 2018

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kml, wcs, wms, zipAvailable download formats
Dataset updated
Apr 6, 2023
Dataset provided by
Open Data Vlaanderen
Description

Area-wide map of the Health Effects Screening score (GES) of heat stress in Flanders. The indicator is based on the number of heat wave degree days (°C.day) in Flanders in the year 2018, modeled according to the methodology developed by VITO and used by the Flemish Environmental Agency (2018). The heat wave degree day (HGD) indicator indicates where and by how many degrees Celsius the threshold values ​​for minimum and maximum temperatures (respectively 18.2°C and 29.6°C), indicated by the FPS Public Health, are exceeded. For each location, the number of heat wave degree days is added up for all days of the year 2018. To create the GES map, we use the HGD map of 2018, a recently exceptionally warm year. It has been decided to work with the map for an extreme year instead of an annual average map, because the health problems mainly occur during these types of summers, and in this way the potential problem locations are properly visualized and not underestimated. The GES classes were defined in this way: GES 2 = 0 - 20 (°C.day) = "fair" ; GES 3 = 20 - 30 (°C.day) = "fairly moderate" ; GES 4 = 30 - 40 (°C.day) = "moderate" ; GES 5 = 40 - 60 (°C.day) = "very moderate" ; GES 6 = 60 - 80 (°C.day) ="insufficient"; GES 7 = 80-100 (°C.day) = "more than insufficient"; GES 8 > 100 (°C.day) = "very insufficient". GES 6 corresponds to at least 60 heat wave degree days, a value that occurred in Antwerp in 2003 and for which it is known that there were many victims as a result of heat stress. However, a lower number of heat wave degree days also has negative effects on health. The map can be used to detect potential problem areas for heat stress in Flanders. In addition to air temperature, however, radiation exposure (both short-wave and long-wave), humidity and wind speed are also important factors in determining heat stress and human thermal comfort. The modeling does not take this into account. Locally, the heat stress actually experienced can therefore be higher (for example due to local radiation from, for example, concrete or asphalt pavement) or lower (for example due to shade provided by trees).

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