Warmtekaart 2024
type: Dataset
access rights: PUBLIC
accrual periodicity: asNeeded
conforms to: http://www.opengis.net/def/crs/EPSG/0/31370
description: In het kader van de Energie Efficiëntie Richtlijn en de Hernieuwbare Energie Richtlijn dienden de EU-lidstaten tegen einde juni 2024 nationale cijfers en plannen te rapporteren rond warmte en koude. Dit past in de strategie van de Europese energie unie om tegen 2050 koolstofneutraliteit te bereik. De voornaamste producten zijn kaarten voor het grondgebied Vlaanderen met de warmtevraag op niveau van de gemeenten en de statistische sectoren, kaarten van de bestaande en geplande warmtenetten en tenslotte ook locaties van potentiële leveringspunten van warmte. De studie werd uitgevoerd door het Vlaams Energie- en Klimaatagentschap. Het bijhorende rapport kan u hier raadplegen: https://www.vlaanderen.be/bouwen-wonen-en-energie/groene-energie/warmtekaart.
issued: 2024-07-10
language: NLD
modified: 2024-07-10
publisher: MercatorNet
spatial: Location
version info: wk2024
identifier: N4cf87f9993994a61b32ae04512d25f21
contact point: MercatorNet
keyword: WARMTEVRAAG
keyword: OpenbareMetadata
keyword: ELEKTRICITEIT
keyword: AFVAL
keyword: WARMTEKAART
keyword: WARMTEKAARTEN
keyword: MercatorNet
keyword: VEKA
keyword: ENERGIEBRONNEN
keyword: WARMTE
keyword: ENERGIE
keyword: WKK
keyword: AFVALVERBRANDING
keyword: RESTWARMTE
keyword: CENTRALES
keyword: WARMTENET
theme: ENVI

T_ Figure 1.csv
type: Distribution
format: CSV
issued: 2025-03-13T20:41:49.383534
modified: 2025-03-13T20:46:44.075564
access URL: https://bcc.thebinaryforest.net/dataset/5eee2833-2fe7-432c-849c-fd90088d3f23/resource/13b80804-5673-444e-b090-d78a1d6ab942/download/t_-figure-1.csv
byte size: 2006
media type: text/csv

Precipitation amounts - 1975
type: Distribution
description: Annual, seasonal and monthly precipitation amounts given in respectively mm/year, mm/3 months and mm/month. The precipitation amounts are available for the present target year 1975, which corresponds to the middle of the 30-year period 1961-1990.
format: TIFF
issued: 2025-10-09T09:39:06.249332
modified: 2025-10-09T09:43:41.416976
access URL: https://ac.ngi.be/remoteclient-open/GeoBePartners-open/BelgianClimateCentre/Climate-indicators-rasters/5e225a61-ca78-11ee-8c59-847b573ec00f_tiff_EPSG4326.zip
media type: application/zip

thumbnail.png
type: Distribution
description: Test vertical thumbnail
format: PNG
issued: 2025-10-14T10:45:23.191433
modified: 2025-11-07T11:34:06.669766
byte size: 239433
media type: image/png

My resource
type: Distribution
availability: AVAILABLE
description: here is my text
format: NetCDF
issued: 2025-11-21T15:59:39.236333
license: CC BY 4 0
modified: 2025-11-24T11:52:07.102038
access URL: https://www.climatecentre.be/

Combined Effect of Changing Hydroclimate and Human Activity on Coastal Ecosystem Health (AMOREIII)
type: Dataset
description: AMORE III addresses the dual control of changing human activity and climate on eutrophication in the Belgian coastal zone and the feedback effect on goods (newly-deployed offshore mussel farming) and services (atmospheric CO2 absorption). AMORE III has among others assessed the geographical spreading and the magnitude of Phaeocystis blooms in the EEZ, the impact of Phaeocystis colony spreading on offshore mussel farming. It combined field observations, laboratory-controlled experiments, and mathematical modelling in an iterative way.
issued: 2025-10-09T10:21:48.427726
modified: 2025-10-09T10:23:36.602466
publisher: Agent
spatial: Belgian part of the North Sea
temporal: PeriodOfTime
  end date: 2009-09-18
  start date: 2007-04-23
keyword: Eutrophication
keyword: Belgian coast
theme: ENVI

Climate projections for Belgium
type: Dataset
issued: 2025-03-07T15:12:07.645276
modified: 2025-04-28T14:45:37.086221
landing page: https://www.geo.be/catalog/details/22dc62f0-ca7f-11ee-9a71-847b573ec00f

Overstromingsrisicokaart Lijninfrastructuren - KUST - huidig klimaat
type: Dataset
applicable legislation: oj
hvd category: c dd313021
hvd category: c 63be22bd
access rights: PUBLIC
conforms to: http://www.opengis.net/def/crs/EPSG/0/31370
conforms to: N7816a37b24bb48b59e946aa4c8da5718
description: Deze kaart toont de wegen, spoorwegen en buslijnen die een grote rol spelen in de beweging van mensen en goederen naar, in en door het gebied dat potentieel getroffen wordt door een overstroming vanuit de zee bij huidig klimaat.
issued: 2019-12-22
language: NLD
modified: 2025-10-15T14:39:41.047121
publisher: VLAAMSE MILIEUMAATSCHAPPIJ
spatial: Location
temporal: PeriodOfTime
  end date: 2027-03-22
  start date: 2019-03-22
identifier: N5f729ea3bdac44b0b2e87e75f169ba07
contact point: VLAAMSE MILIEUMAATSCHAPPIJ
keyword: Water Information System for Europe (WISE)
keyword: Floods Directive
keyword: Gebieden met natuurrisico's
keyword: Flood risk zones low probability scenario (Floods Directive)
theme: ENVI

TROPOMI SO2 Full size (150cm)
type: Distribution
description: Sulphur dioxide full size poster
format: PDF
issued: 2024-11-05T13:44:14.208393
license: CC BY 4 0
modified: 2024-11-05T14:10:45.984969
access URL: https://data.aeronomie.be/dataset/fc2f688b-0691-44ca-9c6a-b6a274ba3990/resource/cd1f796c-f678-46d5-a979-9386b97c014b/download/postertropomi_so2_2018_2020.pdf
byte size: 50799318
media type: https://www.iana.org/assignments/media-types/application/pdf

thumbnail.png
type: Distribution
format: PNG
issued: 2025-07-24T14:05:39.240460
modified: 2025-07-24T14:05:39.207516
byte size: 158764
media type: image/png

Multi-year TROPOMI trace gas columns, created on the occasion of three years S-5P/TROPOMI
type: Dataset
accrual periodicity: NOT_PLANNED
bibliographic citation: van Gent, J., Danckaert, T., Theys, N., De Smedt, I., Lerot, C., Langerock, B., & Sha, M. K. (2024). Multi-year TROPOMI trace gas columns, created on the occasion of three years S-5P/TROPOMI (Version 1.0) [Data set]. Royal Belgian Institute for Space Aeronomy. https://doi.org/10.18758/UZULLS25
creator: van Gent, Jeroen
creator: Danckaert, Thomas
creator: Sha, Mahesh Kumar
creator: Lerot, Christophe
creator: Langerock, Bavo
creator: Theys, Nicolas
creator: De Smedt, Isabelle
description: April 2021 marked the 3rd anniversary of the first public release of atmospheric measurements by the Sentinel 5 Precursor (S5P) TROPOMI instrument, launched in October 2017. BIRA-IASB has been strongly involved in the development of algorithms for the derivation of trace gas column products derived from TROPOMI measurements, as well as in validation activities, and quality monitoring of the TROPOMI data. On the occasion of three years of TROPOMI data, global data sets have been released for the main atmospheric molecules that BIRA-IASB has worked on. The data is available as L3 data in GeoTiff format, representing data averaged over a period from 2.5 to just over 3 years, depending on the molecule. The data can be consulted as global maps through the links provided further down on this page. There are 6 molecules for which data is available: * Formaldehyde (HCHO) is an intermediate product of the chemical oxidation of a wide range of volatile hydrocarbon molecules, which play an important role in the formation of tropospheric ozone and aerosols. Although these hydrocarbons cannot generally be detected from space, the formaldehyde content can be mapped globally. The Sentinel-5P/TROPOMI instrument provides formaldehyde maps with unprecedented sensitivity and spatial resolution. This leads to a better understanding of hydrocarbon emissions and their role in air quality and climate-related processes. * Atmospheric glyoxal (CHOCHO) is a hydrocarbon gas that can be traced back to a wide range of both natural and anthropogenic sources. Although it can be injected directly into the atmosphere in case of fire events, it is usually found as an intermediate component in chemical oxidation chains of other hydrocarbons, many of which are relevant to air quality and climate studies. With a relatively short lifetime of several hours, glyoxal is found close to hydrocarbon sources and its global monitoring from space helps constraining the source inventories used in atmospheric chem…
is referenced by: three-years-tropomi-measurements
is referenced by: tropomi-measurements-3-year-maps
issued: 2024-10-31T08:42:59.059588
language: ENG
modified: 2025-01-31T14:03:56.047174
publisher: Royal Belgian Institute for Space Aeronomy
spatial: Location
temporal: PeriodOfTime
  end date: 2021
  start date: 2017
version info: 1.0
contact point: Kind
  fn: Royal Belgian Institute for Space Aeronomy
keyword: HCHO - Formaldehyde
keyword: Sentinel-5p
keyword: CO - Carbon monoxide
keyword: CH4 - Methane
keyword: Observed data
keyword: retrieval
keyword: Copernicus
keyword: NO2 - Nitrogen dioxide
keyword: atmospheric composition
keyword: CHOCHO - Glyoxal
keyword: Earth
keyword: SO2 - Sulphur dioxide
keyword: atmospheric trace gases
keyword: ESA
keyword: atmosphere
keyword: TROPOMI
keyword: Air quality
landing page: https://data.aeronomie.be/dataset/fc2f688b-0691-44ca-9c6a-b6a274ba3990

https://bcc.thebinaryforest.net/catalog.jsonld
type: PagedCollection
items per page: 100
total items: 23

hh:hh_stadsgroen_2019
type: Distribution
conforms to: WWW:DOWNLOAD-1.0-http--download
description: Stadsgroen - toestand 2019
format: TIFF
issued: 2025-07-18T14:04:00.234324
license: v1.0
modified: 2025-08-21T10:00:02.929944
rights: noLimitations
access URL: https://datasets.omgeving.vlaanderen.be/be.vlaanderen.omgeving.distribution.geo.b5be587f-6736-4906-b397-44deae4a79f8.multiple_layer.zip
media type: application/zip

Viewer service
type: Distribution
format: HTML
issued: 2025-09-30T14:21:01.687057
modified: 2025-09-30T14:21:01.879049
access URL: https://tableau-public.discomap.eea.europa.eu/views/GHGDataViewer/Totals

Wyard, Coraline
type: Agent

read me - EEA GHG data viewer_2025.pdf
type: Distribution
description: Read me file
format: PDF
issued: 2025-09-30T14:22:21.837658
modified: 2025-09-30T14:22:21.832715
access URL: https://bcc.thebinaryforest.net/dataset/077456ac-dbab-4b13-9508-1975a6be90a6/resource/c3ba5002-e748-4b71-8fc4-b25d544e9f9e/download/read-me-eea-ghg-data-viewer_2025.pdf
byte size: 156521
media type: application/pdf

Download service - Climate model simulations and projections
type: Distribution
description: NetCDF files for download
format: NetCDF
issued: 2025-04-24T09:25:49.868908
license: CC_BY_4_0
modified: 2026-01-09T14:05:31.628354
access URL: https://ac.ngi.be/catalogue

My data
type: Distribution
availability: Until June 2020
description: here is the description of my data
format: CSV
issued: 2025-10-16T12:06:15.917882
modified: 2025-10-16T12:06:16.277926

hh:hh_stadsgroen_2019
type: Distribution
conforms to: OGC:WCS-2.0.0-http-get-coverage
description: WCS-getCoverage Stadsgroen - toestand 2019 (De accessURL verwijst naar een gelimiteerde set van data, volgens de INSPIRE afspraken)
issued: 2025-07-18T14:04:00.234336
license: v1.0
modified: 2025-08-21T10:00:02.930295
access URL: https://www.mercator.vlaanderen.be/raadpleegdienstenmercatorpubliek/ows

OGC:WMS-1.3.0-http-get-map
type: Distribution
conforms to: OGC:WMS-1.3.0-http-get-map
issued: 2025-09-11T11:27:35.563362
license: v1.0
modified: 2025-12-18T14:26:59.050589
access URL: https://geoservice.waterinfo.be/OGRK/wms

https://bcc.thebinaryforest.net/dataset/259aaef9-8c25-4319-81d1-40361be8b8d6/resource/ea19219a-f4c9-4b94-9c56-2f10f849ef35
type: Distribution
issued: 2025-12-18T13:54:40.662440
license: legalcode
modified: 2025-12-18T13:54:40.644241
access URL: RADCLIM-Analogs: High-Resolution Gridded Hourly Median Precipitation dataset for Belgium (1940-2016) Using the Analogue Technique

TROPOMI HCHO Full size (150cm)
type: Distribution
description: Formaldehyde full size poster
format: PDF
issued: 2024-11-05T13:44:54.784752
license: CC BY 4 0
modified: 2024-11-05T14:11:15.807323
access URL: https://data.aeronomie.be/dataset/fc2f688b-0691-44ca-9c6a-b6a274ba3990/resource/9e76da41-7976-4e0e-8ad9-21748fd7afb8/download/postertropomi_hcho_2018_2020.pdf
byte size: 95569627
media type: https://www.iana.org/assignments/media-types/application/pdf

231030_KahuziBiega_IOB_Studyareas_byIPIS.jpeg
type: Distribution
description: description image
format: JPEG
issued: 2025-10-06T13:44:46.220951
modified: 2025-10-14T10:42:08.376887
byte size: 1101782
media type: image/jpeg

key_indicators_on_future_belgian_climate.xls
type: Distribution
format: XLS
issued: 2025-03-13T19:38:52.928836
modified: 2025-03-13T19:38:52.922676
access URL: https://bcc.thebinaryforest.net/dataset/5eee2833-2fe7-432c-849c-fd90088d3f23/resource/d93e6aa3-41ab-4138-a7ab-03e4195e4719/download/key_indicators_on_future_belgian_climate.xls
byte size: 73216
media type: application/vnd.ms-excel

CO2-fluxen over België
type: Dataset
access rights: NON PUBLIC
conforms to: https://www.opengis.net/def/crs/EPSG/0/5710
conforms to: https://www.opengis.net/def/crs/EPSG/0/31370
conforms to: https://metadata.vlaanderen.be/srv/dut/csw
description: Kaarten van fAPAR (Fractie van fotosynthetisch actieve geabsorbeerde straling) en NPP voor het Belgisch grondgebied.
issued: 2025-07-18T13:42:26.275970
language: NLD
language: ENG
modified: 1998-05-18
publisher: VITO - VLAAMSE INSTELLING VOOR TECHNOLOGISCH ONDERZOEK
spatial: Location
temporal: PeriodOfTime
  end date: 1990-12-31
  start date: 1990-01-01
identifier: N64730d9be5d74ac8b58a298d62a12523
sample: N471ed67a9c644e9d8083174098757e72
sample: Nd8baebbf301b4cac8e10c3a398139b41
contact point: VITO - VLAAMSE INSTELLING VOOR TECHNOLOGISCH ONDERZOEK
keyword: VEGETATIE
keyword: BELGISCH
keyword: CO2-FLUXEN OVER BELGIË
keyword: VLAAMSE INSTELLING VOOR TECHNOLOGISCH ONDERZOEK
keyword: NETTO
keyword: VITO
keyword: CO-FLUXEN
keyword: FOTOSYNTHETISCH
keyword: NPP
keyword: FAPAR
keyword: FRACTIE
keyword: C-FIX
keyword: KLIMAATSWIJZIGINGEN
keyword: PRODUCTIVITEIT
keyword: STRALING
keyword: JAARBASIS
theme: ENVI

INSPIRE - Zones à risque naturel en Wallonie (BE) - Service de visualisation WMS
type: Distribution
applicable legislation: oj
description: Ce service de visualisation WMS INSPIRE permet de consulter les couches de données du thème "Zones à risque naturel" au sein du territoire wallon (Belgique). Ce service de visualisation WMS est fourni par le Service public de Wallonie (SPW) et expose les couches de données géographiques constitutives du thème "Zones à risque naturel" de la Directive (Annexe 3.12) sur l'ensemble du territoire wallon. Ce service permet donc de visualiser les couches de données sélectionnées comme faisant partie du thème "Zones à risque naturel". Ces couches de données sont présentées "telles quelles", c'est-à-dire dans leur modèle de données initial, non conforme aux spécifications de données définies par la Directive. Les couches de données seront progressivement adaptées aux modèles de donnée commun INSPIRE suivant les spécifications du thème. Le service de visualisation est conforme aux spécifications de la Directive INSPIRE en la matière.
format: WMS SRVC
issued: 2024-11-15
language: FRA
license: CC BY 4 0
modified: 2024-08-13
rights: Nc6cbe4c8563c41e0b122f54cbc09174e
access URL: https://geoservices.wallonie.be/geoserver/inspire_nz/ows

VLAAMSE MILIEUMAATSCHAPPIJ
type: Agent
type: Kind
fn: VLAAMSE MILIEUMAATSCHAPPIJ
has URL: https://www.vmm.be
has URL: https://vmm.vlaanderen.be/

https://bcc.thebinaryforest.net/dataset/4006779d-175a-46b8-ae4c-e187ebf70940/resource/870a13f4-81f1-45ac-8d07-6961838a46c4
type: Distribution
format: PDF
issued: 2025-11-06T15:18:26.061809
modified: 2025-11-06T15:18:26.036753
access URL: Climate change in Belgium: recent and future evolution of global radiation and hydroclimatic conditions favouring floods using the regional climate model MAR
byte size: 132380344
download URL: https://zenodo.org/records/3242346/files/thesis_cwyard.pdf
media type: application/pdf

https://bcc.thebinaryforest.net/dataset/4006779d-175a-46b8-ae4c-e187ebf70940/resource/8b6774fd-7315-4890-a5b9-dbb94da7003b
type: Distribution
issued: 2025-11-06T15:18:26.061801
license: legalcode
modified: 2025-11-06T15:18:26.036382
access URL: Climate change in Belgium: recent and future evolution of global radiation and hydroclimatic conditions favouring floods using the regional climate model MAR

test
type: Distribution
description: descrip
format: ncdf
issued: 2025-11-07T11:34:06.685556
modified: 2025-11-21T21:32:31.321878

key_indicators_on_future_belgian_climate.xlsx
type: Distribution
issued: 2025-03-13T14:24:29.440503
modified: 2025-03-13T19:37:30.678738
access URL: https://bcc.thebinaryforest.net/dataset/5eee2833-2fe7-432c-849c-fd90088d3f23/resource/f5d02d55-2ab1-4c10-aba2-a117c8719949/download/key_indicators_on_future_belgian_climate.xlsx
byte size: 29363

Dataset in Yoshida 2022 INCORRECT HEADERS
type: Distribution
description: One compressed file containing 649 txt files
format: ZIP
issued: 2024-04-25T11:25:45.124199
license: CC BY 4 0
modified: 2025-09-02T09:12:50.254584
access URL: https://data.aeronomie.be/dataset/b6b50975-0953-4d0c-8e6b-ab41e58de6a9/resource/5fe5da9d-6433-4a50-a1aa-86e8942bcb5b/download/dataset_in_yoshida_et_al_2022.zip
byte size: 501777
media type: https://www.iana.org/assignments/media-types/application/zip

Potential evapotranspiration - 2085
type: Distribution
description: Annual, summer and winter mean potential evapotranspiration given in respectively mm/year and mm/3 months and based on the Penman-Monteith definition. The potential evapotranspiration fields are available for the future target year 2085, which corresponds to the middle of the 30-year period 2071-2100, and for mean and high impact scenarios corresponding respectively to the 50th and 95th percentiles of the change factors.
format: TIFF
issued: 2025-10-09T09:23:47.125636
modified: 2025-10-09T09:39:06.234416
access URL: https://ac.ngi.be/remoteclient-open/GeoBePartners-open/BelgianClimateCentre/Climate-indicators-rasters/1f944100-ca78-11ee-a997-847b573ec00f_tiff_EPSG4326.zip
media type: application/zip

TROPOMI SO2 A4
type: Distribution
description: Sulphur dioxide
format: PNG
issued: 2024-11-05T13:40:22.605357
license: CC BY 4 0
modified: 2024-11-05T13:40:48.577349
byte size: 3217010
media type: https://www.iana.org/assignments/media-types/image/png

Global solar radiation - 1975
type: Distribution
description: Summer and winter mean global solar radiation given in kWh/m²/day. The global solar radiations fields are available for the present target year 1975, which corresponds to the middle of the 30-year period 1961-1990.
format: TIFF
issued: 2025-04-24T09:40:58.070043
modified: 2025-10-09T07:15:04.699908
access URL: https://ac.ngi.be/remoteclient-open/GeoBePartners-open/BelgianClimateCentre/Climate-indicators-rasters/92386a30-ca71-11ee-80f2-847b573ec00f_tiff_EPSG4326.zip
media type: application/zip

Other
type: Agent

Indicators.be - Climate actions
type: Dataset
description: Goal 13 Take urgent action to combat climate change and its impacts* * Acknowledging that the United Nations Framework Convention on Climate Change is the primary international, intergovernmental forum for negotiating the global response to climate change.
issued: 2025-03-14T08:56:38.274443
modified: 2025-03-14T08:57:18.432562
landing page: https://indicators.be/

OGC:WMS-1.3.0-http-get-map
type: Distribution
conforms to: OGC:WMS-1.3.0-http-get-map
issued: 2025-10-15T14:39:41.051440
license: v1.0
modified: 2025-10-15T14:39:41.039820
access URL: https://geoservice.waterinfo.be/OGRK/wms

Potential evapotranspiration - 1975
type: Distribution
description: Annual, summer and winter mean potential evapotranspiration given in respectively mm/year and mm/3 months and based on the Penman-Monteith definition. The potential evapotranspiration fields are available for the present target year 1975, which corresponds to the middle of the 30-year period 1961-1990.
format: TIFF
issued: 2025-10-09T09:19:01.466848
modified: 2025-10-09T09:23:47.113399
access URL: https://ac.ngi.be/remoteclient-open/GeoBePartners-open/BelgianClimateCentre/Climate-indicators-rasters/520d0cd1-ca77-11ee-81d5-847b573ec00f_tiff_EPSG4326.zip
media type: application/zip

Global solar radiation - 2085
type: Distribution
description: Summer and winter mean global solar radiation given in kWh/m²/day. The global solar radiations fields are available for the future target year 2085, which corresponds to the middle of the 30-year period 2071-2100, and for mean and high impact scenarios corresponding respectively to the 50th and 95th percentiles of the change factors.
format: TIFF
issued: 2025-10-09T09:01:03.114289
modified: 2025-10-09T09:19:01.451543
access URL: https://ac.ngi.be/remoteclient-open/GeoBePartners-open/BelgianClimateCentre/Climate-indicators-rasters/fd08bf0f-ca74-11ee-9132-847b573ec00f_tiff_EPSG4326.zip
media type: application/zip

INSPIRE - Evaluation Préliminaire des Risques d'Inondation - Événements futurs basés sur le scénario d'inondation de période de retour extrême en Wallonie (BE)
type: Identifier
type: Dataset
applicable legislation: oj
hvd category: c dd313021
access rights: PUBLIC
conforms to: nz
conforms to: http://data.europa.eu/eli/reg/2010/1089
description: Cette couche de données au format conforme INSPIRE reprend l'étendue des zones inondables potentielles selon un scénario de retour extrême. Cette donnée est issue de la donnée métier "Evaluation Préliminaire des Risques d'Inondation (EPRI) - Événements futurs basés sur le scénario d'inondation de période de retour extrême" (https://geoportail.wallonie.be/catalogue/5e81aa94-2495-493d-8c7a-6ad1c21501c01.html) et est diffusée dans le cadre de la directive INSPIRE. La Directive 2007/60/CE, dite Directive Inondation (DI), fixe les dispositions relatives à l'évaluation et à la gestion des risques d'inondation. Elle requiert que chaque Etat membre réalise une évaluation préliminaire des risques d’inondation (EPRI ou Preliminary Flood Risk Assessment - PFRA) au sein de son territoire. Cette évaluation préliminaire doit permettre d'identifier les zones à risque potentiel significatif d'inondation en Wallonie et, partant, d'établir des plans de gestion des risques d’inondation. L'EPRI se fonde entre autres sur l'évaluation des conséquences négatives potentielles d'inondations futures ainsi que les évolutions à long terme parmi lesquelles les incidences des changements climatiques sur la survenance des inondations (DI - Art. 4.2.d). Dès lors, l'étendue des zones inondables selon un scénario de débit de crue extrême (Qextreme = Q100+30%) et une période de retour très faible (50 à 100 ans) a été déterminée. L’utilisation du scénario extrême des zones inondables (Qextrême) intègre le changement climatique et est destiné à devenir à l’horizon 2071-2100, le scénario de période de retour 100 ans. La couche de données résultantes "PFRA - Futur Events" est polygonale. Les multi-polygones sont identifiés selon leur bassin versant des plans de gestion (ou sous-bassin hydrographique) d'appartenance. Il peut y avoir plusieurs polygones dans le même bassin versant des plans de gestion. Pour analyser les conséquences négatives potentielles des inondations futures, la couche de données "PFRA…
issued: 2024-11-15
language: FRA
modified: 2024-08-13
provenance: Ne5208640177643f18859194fa66a15c3
publisher: Groupe Transversal Inondations (SPW - Groupe Transversal Inondations)
contact point: Kind
keyword: APSFR
keyword: 2007/60/CE
keyword: catastrophes
keyword: Directive 2007/60/EC
keyword: PFRA
keyword: lutte contre les inondations
keyword: Flood risk zones (Floods Directive)
keyword: risque naturel
keyword: zone à risque
keyword: Area of Potential Significant Flood Risk
keyword: inondable
keyword: risques
keyword: Directive européenne Inondation
keyword: eau
keyword: EPRI
keyword: Zones à risque naturel
keyword: ruissellement de surface
keyword: période de retour
keyword: Régional
keyword: directive de la CE
keyword: étude des risques naturels
keyword: Preliminary Flood Risk Assessment
keyword: inondation
keyword: Preliminary flood risk assessment - potential future events (Floods Directive)
keyword: ruissellement
keyword: probabilité
keyword: pluie
keyword: évaluation du risque
keyword: cours d'eau
keyword: Preliminary flood risk assessment (Floods Directive)
keyword: service de prévention des risques
keyword: évaluation des risques pour l'environnement
keyword: accidents
keyword: analyse du risque
keyword: zone inondable
landing page: https://metawal.wallonie.be/geonetwork/srv/api/records/9c16b034-56d1-4543-a0df-a5c84520049f
theme: ENVI

customers-1000.csv
type: Distribution
format: CSV
issued: 2025-03-13T20:49:40.837860
modified: 2025-03-13T20:49:40.829227
access URL: https://bcc.thebinaryforest.net/dataset/5eee2833-2fe7-432c-849c-fd90088d3f23/resource/aa37c150-6a17-4aaa-b537-8cc1ac83d964/download/customers-1000.csv
byte size: 171225
media type: text/csv

https://bcc.thebinaryforest.net/dataset/259aaef9-8c25-4319-81d1-40361be8b8d6/resource/ed8da29b-42d8-4fb3-841f-237d78cf2f90
type: Distribution
issued: 2025-12-18T13:54:40.662448
modified: 2025-12-18T13:54:40.644543
access URL: RADCLIM-Analogs: High-Resolution Gridded Hourly Median Precipitation dataset for Belgium (1940-2016) Using the Analogue Technique
byte size: 237
download URL: https://zenodo.org/records/15050458/files/LICENSE

System change
type: Distribution
description: Key trends and assessments for system change
format: HTML
issued: 2025-09-30T08:35:11.576355
modified: 2025-09-30T08:43:54.304962
access URL: https://www.eea.europa.eu/en/europe-environment-2025/countries/belgium

Debrie, Elke
type: Agent

Europe
type: Location

Belgian Climate Centre
type: Agent

Federal Planning Bureau
type: Agent

Belgium greenhouse gas inventory 1990-2023
type: Dataset
bibliographic citation: Lipscomb, A. Y. (2021, Winter). Addressing trauma in the college essay writing process. The Journal of College Admission, (249), 30–33. https://www.catholiccollegesonline.org/pdf/national_ccaa_in_the_news_-_nacac_journal_of_college_admission_winter_2021.pdf
bibliographic citation: Jerrentrup, A., Mueller, T., Glowalla, U., Herder, M., Henrichs, N., Neubauer, A., & Schaefer, J. R. (2018). Teaching medicine with the help of “Dr. House.” PLoS ONE, 13(3), Article e0193972. https://doi.org/10.1371/journal.pone.0193972
description: Belgium greenhouse gas inventory: all quantitative data for all categories of emission sources by sector and sub-sector between 1990 and 2023
issued: 2025-04-16T13:18:39.207027
modified: 2025-09-11T08:02:08.176949
keyword: Emission
keyword: Methodology
keyword: GHG

User guide climate indicators
type: Distribution
description: View and download service of climate indicators for present and future target years under a mean and high impact scenario for Belgium This user guide applies to the following datasets on www.geo.be: 1) View service – Climate indicators for Belgium (gridded maps for Belgium) [https://www.geo.be/catalog/details/bef48fa1-ca7f-11ee-916d-847b573ec00f?l=en] 2) Key indicators on future Belgian climate [https://www.geo.be/catalog/details/f764a1c0-d49f-11ee-9c6a-3448ed07889e?l=en]
format: PDF
issued: 2025-04-24T09:36:21.076968
modified: 2025-04-24T09:38:39.657920
access URL: https://ac.ngi.be/remoteclient-open/GeoBePartners-open/BelgianClimateCentre/UserGuide/User_guide_climate_indicators_geobe.pdf
media type: application/pdf

Dataset in Yoshida 2022 VERSION 2
type: Distribution
description: This is the updated dataset from Yoshida et al. 2022, which corrects an error in the latitude/longitude/Ls/local time values in the header of each file. Also some files did not contain any data; these have been removed from this version.
format: ZIP
issued: 2025-09-02T09:05:56.888489
license: CC BY 4 0
modified: 2025-09-02T09:05:56.845827
access URL: https://data.aeronomie.be/dataset/b6b50975-0953-4d0c-8e6b-ab41e58de6a9/resource/bedfa357-d4b1-4742-b77a-7e9869a75cce/download/yoshida22_repo_new.zip
byte size: 301222
media type: https://www.iana.org/assignments/media-types/application/zip

Zones à risque naturel en Wallonie (BE) - Service OGC API
type: Distribution
applicable legislation: oj
description: Ce service permet de requêter et de télécharger les données du domaine HVD "Zones à risque naturel en Wallonie (BE)".
format: GEOJSON
issued: 2024-11-15
language: FRA
license: CC BY 4 0
modified: 2024-08-13
rights: Ne3ab9f9420bb402290ca7841d8a2c80e
access URL: https://geoservices.wallonie.be/geoserver/inspire_nz/ogc/features/v1/openapi

TROPOMI CHOCHO Full size (150cm)
type: Distribution
description: Glyoxal full size poster
format: PDF
issued: 2024-11-05T13:45:43.172120
license: CC BY 4 0
modified: 2024-11-05T13:54:54.390540
access URL: https://data.aeronomie.be/dataset/fc2f688b-0691-44ca-9c6a-b6a274ba3990/resource/beb975df-eb3c-4105-b7f9-8be01439e8e5/download/postertropomi_chocho_2018_2020.pdf
byte size: 83488172
media type: https://www.iana.org/assignments/media-types/application/pdf

Data download
type: Distribution
description: Link to download page of WRF-Chem output data. After selecting a year, daily model data can be downloaded by clicking on a specific date. A daily zip file consists of 48 NetCDF files: wrfout_d0x_yyyymmddThh0000.nc (one for each hour and model domain (d01, d02)).
format: NetCDF
issued: 2025-02-03T10:07:36.353920
license: CC BY 4 0
modified: 2025-02-03T14:42:37.395677
access URL: https://distributions.aeronomie.be/28d4da5e-9cc6-4999-8ab9-53433fe9cb5f

Methodology
type: Distribution
description: Methodology used for the Belgium’s greenhouse gas inventory (1990-2023): National Inventory Document Submitted under the United Nations Framework Convention on Climate Change
format: PDF
issued: 2025-04-23T15:36:01.270858
modified: 2025-04-23T15:42:05.383496
access URL: https://climat.be/doc/belgiums-greenhouse-gas-inventory-1990-2023.pdf
media type: application/pdf

https://bcc.thebinaryforest.net/dataset/259aaef9-8c25-4319-81d1-40361be8b8d6/resource/f237f041-62c1-4c4f-b22f-241139e138a6
type: Distribution
format: ZIP
issued: 2025-12-18T13:54:40.662446
modified: 2025-12-18T13:54:40.644423
access URL: RADCLIM-Analogs: High-Resolution Gridded Hourly Median Precipitation dataset for Belgium (1940-2016) Using the Analogue Technique
byte size: 41536241736
download URL: https://zenodo.org/records/15050458/files/RADCLIM-Analogs-median.zip
media type: application/zip

WWW:DOWNLOAD-1.0-http--download
type: Distribution
conforms to: WWW:DOWNLOAD-1.0-http--download
format: GML
issued: 2025-09-11T11:27:35.563372
license: v1.0
modified: 2025-12-18T14:26:59.051017
rights: noLimitations
access URL: https://geoservice.waterinfo.be/OGRK/download/PLU_hCC/sociale_schadekaart_PLU_hCC_T10.gml

er_wrmtk_2024.zip
type: Distribution
conforms to: WWW:DOWNLOAD-1.0-http--download
description: Downloadlink in geopackage formaat voor de dataset: Warmtekaart 2024: geopackage met alle lagen van de Warmtekaart 2024 (versie 12/06/2025)
format: GPKG
issued: 2025-10-15T14:32:03.305867
license: v1.0
modified: 2025-10-15T14:32:03.265776
rights: noLimitations
access URL: https://dataplatform.omgeving.vlaanderen.be/public/mercatornet/er_wrmtk_2024

Key indicators on future Belgian climate
type: Distribution
description: Mean key indicators on future climate for Belgium for precipitation, temperature, relative humidity, wind speed, global solar radiation and potential evapotranspiration (spatial distributions are available through the WMS view service). The key indicators are derived from a multi-model ensemble of climate change signals or factors for a mean and high impact scenario (corresponding to respectively the 50th, and 5th or 95th percentile of the change factors), and for multiple future target years (2030, 2050, 2085, 2100).
format: XLSX
issued: 2025-10-09T09:45:40.926210
modified: 2026-01-09T14:05:31.629045
access URL: https://ac.ngi.be/remoteclient-open/GeoBePartners-open/BelgianClimateCentre/Key-indicators/f764a1c0-d49f-11ee-9c6a-3448ed07889e_xlsx.zip
media type: application/zip

EEA greenhouse gases - data viewer
type: Dataset
creator: European Environment Agency
description: Data viewer on Total greenhouse gas emissions and removals of the EU, based on data reported by EU Member States under the EU Governance Regulation. Users can select 'Belgium" in Filters (top bar) > Geographic entry
issued: 2025-09-30T14:20:36.162472
modified: 2025-10-16T13:22:55.420406
publisher: European Environment Agency
spatial: EU
temporal: PeriodOfTime
  end date: 2023-12-31
  start date: 1990-01-01
keyword: greenhouse gases

thumbnail.png
type: Distribution
description: Thumbnail
format: PNG
issued: 2025-10-14T10:42:08.388305
modified: 2025-10-14T10:42:08.377130
byte size: 900611
media type: image/png

TROPOMI NO2 A4
type: Distribution
description: Nitrogen dioxide
format: PNG
issued: 2024-10-31T09:15:35.150674
license: CC BY 4 0
modified: 2024-11-05T13:47:44.028843
byte size: 6252402
media type: https://www.iana.org/assignments/media-types/image/png

Climate change in Belgium: recent and future evolution of global radiation and hydroclimatic conditions favouring floods using the regional climate model MAR
type: Document
type: Identifier
type: Dataset
access rights: PUBLIC
creator: Wyard, Coraline
description: In Belgium, the future response of the climate to increasing greenhouse gas concentration is not clear, especially with regard to the perturbations of the precipitation regime, snow cover, and global radiation. On the one hand, existing studies show results which differ strongly either according to the future scenario, or from one model to another. On the other hand, there is even an absence of studies focussing on Belgium regarding future changes in snow cover and global radiation. Given their potential impacts on the society (water management, energy supply, biodiversity, tourism), future changes in precipitation, snow cover, and global radiation require further research. As the orography, the exposition to the dominant winds, and the proximity of the North Sea determine a large spatial variability in the Belgian climate, the latter requires a fine representation of these features to be properly simulated. Compared to global climate models (GCM), regional climate models (RCM) are recognized for their ability to represent climatic phenomena with higher spatial resolutions. In the framework of this doctoral thesis, the RCM MAR (for "Modèle Atmosphérique Régional" in French), which is developed at the Laboratory of Climatology and Topoclimatology of the University of Liège, was applied for the first time to Belgium. The aim was first to assess the performances of MAR over Belgium and then to study the current and future evolution of hydroclimatic conditions favouring floods, and also the current and future evolution of global radiation. For this purpose, historical simulations were performed over 1959-2014. Future projections (2006-2100) were then performed under the most pessimist IPCC future scenario (RCP8.5). The horizontal resolution used for both historical and future simulations is 5 km. By comparing the MAR outputs to ground-based measurements from 20 weather stations over 2008-2014, the results show that MAR successfully simulates the spatial and temporal var…
is version of: zenodo.3242345
issued: 2018
language: ENG
modified: 2025-04-24
publisher: Zenodo
type: Text
keyword: Climate change
keyword: Belgium
keyword: Regional climate modelling

Global solar radiation - 1975 (summer)
type: Distribution
description: Summer mean global solar radiation given in kWh/m²/day. The global solar radiations fields are available for the present target year 1975, which corresponds to the middle of the 30-year period 1961-1990.
format: TIFF
issued: 2025-03-07T15:14:52.810345
modified: 2025-03-07T15:15:54.907434
byte size: 211754
media type: image/tiff

Belgian climate data portal
type: Catalog
description: Maximising the impact of science on climate action in Belgium
language: en_GB
modified: 2026-01-09T14:08:34.874538
dataset: Climate change in Belgium: recent and future evolution of global radiation and hydroclimatic conditions favouring floods using the regional climate model MAR
dataset: RADCLIM-Analogs: High-Resolution Gridded Hourly Median Precipitation dataset for Belgium (1940-2016) Using the Analogue Technique

Heatwaves in Belgium
type: Dataset
description: Duration, frequency, and intensity of heatwaves based on the daily maximum temperatures recorded in Uccle since 1901.
issued: 2025-04-07T13:33:13.626122
modified: 2025-04-07T13:38:19.847842
contact point: Organization
  fn: RMI
keyword: heatwaves
keyword: Uccle

My test file.docx
type: Distribution
availability: Indefinite
description: Description of my test file in Word
format: DOC
issued: 2025-09-11T15:08:07.013018
modified: 2025-11-21T21:32:31.321574
access URL: https://bcc.thebinaryforest.net/dataset/a3b8abdc-3cee-486b-831a-a05bfb7e13ff/resource/11b87c10-cdfe-4695-9c2d-13e242b16795/download/my-test-file.docx
byte size: 13392

IGN / NGI
type: Agent

My resource
type: Distribution
description: Description of my resource
format: CSV
issued: 2025-10-06T13:18:26.480881
modified: 2025-10-06T13:18:26.798313

OVO003750
type: Kind
fn: Vlaams Planbureau voor Omgeving

Precipitation amounts - 2085
type: Distribution
description: Annual, seasonal and monthly precipitation amounts given in respectively mm/year, mm/3 months and mm/month. The precipitation amounts are available for the future target year 2085, which corresponds to the middle of the 30-year period 2071-2100, and for mean and high impact scenarios corresponding to respectively the 50th, and 5th or 95th percentiles of the change factors.
format: TIFF
issued: 2025-10-09T09:43:41.428727
modified: 2025-10-09T09:45:40.912981
access URL: https://ac.ngi.be/remoteclient-open/GeoBePartners-open/BelgianClimateCentre/Climate-indicators-rasters/916e1121-ca78-11ee-b4a5-847b573ec00f_tiff_EPSG4326.zip
media type: application/zip

hh:hh_stadsgroen_2019
type: Distribution
conforms to: OGC:WMS-1.3.0-http-get-map
description: WMS-getmap Stadsgroen - toestand 2019 (De accessURL verwijst naar een gelimiteerde set van data, volgens de INSPIRE afspraken)
issued: 2025-07-18T14:04:00.234333
license: v1.0
modified: 2025-08-21T10:00:02.930149
access URL: https://www.mercator.vlaanderen.be/raadpleegdienstenmercatorpubliek/ows

Another test dataset
type: Dataset
bibliographic citation: O’Leary Simpson, F., Titeca, K., Pellegrini, L., Muller, T., & Muliri Dubois, M. (2025). Indigenous forest destroyers or guardians? The indigenous Batwa and their ancestral forests in Kahuzi-Biega National Park, DRC. World Development, 186, Article 106818. https://doi.org/10.1016/j.worlddev.2024.106818
creator: Author 3
creator: Author 1
creator: Author 2
description: ipsum
issued: 2025-10-06T13:17:59.586903
modified: 2025-10-14T10:42:08.364308
publisher: Zenodo
spatial: DRC
temporal: PeriodOfTime
  end date: 2023-12-31
  start date: 2019-01-01
contact point: Kind
  fn: Contact point
keyword: forest ecosystems
theme: JUST

username.csv
type: Distribution
format: CSV
issued: 2025-03-13T14:15:52.588868
modified: 2025-03-13T14:15:52.570066
access URL: https://bcc.thebinaryforest.net/dataset/5eee2833-2fe7-432c-849c-fd90088d3f23/resource/fbe0e2a3-80d3-48fd-954d-2afdf54c1ab0/download/username.csv
byte size: 176
media type: text/csv

Key indicators on future Belgian climate
type: Distribution
description: Mean key indicators on future climate for Belgium for precipitation, temperature, relative humidity, wind speed, global solar radiation and potential evapotranspiration (spatial distributions are available through the WMS view service). The key indicators are derived from a multi-model ensemble of climate change signals or factors for a mean and high impact scenario (corresponding to respectively the 50th, and 5th or 95th percentile of the change factors), and for multiple future target years (2030, 2050, 2085, 2100). Technical specifications of the product: https://ac.ngi.be/remoteclient-open/GeoBePartners-open/BelgianClimateCentre/UserGuide/User_guide_climate_indicators_geobe.pdf
format: ZIP
issued: 2025-04-28T14:45:37.115018
modified: 2025-04-28T14:45:37.102369
access URL: https://ac.ngi.be/remoteclient-open/GeoBePartners-open/BelgianClimateCentre/Key-indicators/f764a1c0-d49f-11ee-9c6a-3448ed07889e_xlsx.zip
media type: application/zip

Stadsgroen - toestand 2019
type: Dataset
creator: Nicolas Noé
description: De geodatalaag ‘stadsgroen’ bevat alle clusters van publiek toegankelijke groene ruimte met een minimale oppervlakte van 60ha. Deze geodatalaag werd bekomen door het selectie van alle ‘groengebieden’ op basis van de landgebruikskaart (toestand 2019). Deze groengebieden werden algoritmisch geclusterd op basis van aaneengeslotenheid, waarbij ook fysieke barrières in rekening werden gebracht. Vervolgens werden enkel die groengebieden behouden die grenzen aan een te voet toegankelijke openbare weg. Op basis hiervan werden vijf rasterlagen (resolutie 10x10m²) opgemaakt waarbij clusters werden geselecteerd per functieniveau op basis van een minimale oppervlakte: buurtgroen (>0,2ha); wijkgroen (>10ha); stadsdeelgroen (>30ha); stadsgroen (>60ha); stadsbos (>200ha). De geselecteerde clusters met een hoger functieniveau zijn dus steeds een deelverzameling van de geselecteerde clusters van een lager functieniveau. Opgelet, door de toegepaste methode bestaat het groentype ‘stadsbos’ niet enkel uit bos, maar uit verschillende types groene ruimte. Meer informatie is terug te vinden in dit achtergronddocument: https://archief.onderzoek.omgeving.vlaanderen.be/Onderzoek-2952295 De aanwezigheid van groen heeft een positief effect op een heel aantal verschillende aspecten die een kwalitatieve leefomgeving bepalen. Het gaat hierbij o.a. om een positief effect op de fysieke, mentale en sociale gezondheid, maar ook om biodiversiteit, klimaatbestendigheid, landschappelijke kwaliteit,… Een gangbaar Vlaams referentiekader (geïntroduceerd in MIRA-S 2000) om de beschikbaarheid van groene ruimte te beoordelen stelt dat elke inwoner toegang zou moeten hebben tot buurtgroen op maximaal 400m, wijkgroen op maximaal 800m, stadsdeelgroen op maximaal 1600m, stadsgroen op maximaal 3200m en stadsbos op maximaal 5000m. Deze datalaag laat toe het aantal inwoners te berekenen in een bepaald gebied dat toegang heeft tot stadsgroen rekening houdend met eerder vermelde maximale afstand.
issued: 2025-07-18T14:04:00.226196
modified: 2025-08-22T07:41:33.563303
publisher: MercatorNet
spatial: Location
contact point: OVO003750
keyword: OpenbareMetadata
keyword: MercatorNet
keyword: groentypologieën
keyword: hh_stadsgroen_2019
theme: HEAL

RADCLIM-Analogs: High-Resolution Gridded Hourly Median Precipitation dataset for Belgium (1940-2016) Using the Analogue Technique
type: Identifier
type: Document
type: Dataset
access rights: PUBLIC
creator: Vannitsem, Stéphane
creator: Demaeyer, Jonathan
creator: Debrie, Elke
description: We provide in this database median maps at 1 km resolution of the hourly accumulated precipitation over Belgium from 1940 to 2016. We used the analog technique to compute for every day in the past (1940 – 2016) the 25 best analogs selected from the high resolution RMI RADCLIM radar database that is available from 2017 to 2022. The analogs were determined based on ERA5 data from ECMWF. The median was computed based on this 25 analogs. Please read the LICENSE file for more information on the data licenses. Citation If you use this dataset for a publication, please cite the dataset article: Debrie, E., Demaeyer, J., and Vannitsem, S.: Hourly precipitation series over Belgium based on the Analogue Technique, Earth Syst. Sci. Data Discuss. [preprint], doi:, in review, 2025. The complete description of the method and performance is provided therein. Installation Download the dataset in a given folder, and in a terminal, and still in this folder, enter the following command: unzip RADCLIM-Analogs-median.zip This will unpack the dataset. You need at least 40Gb of free space on your disk to perform this operation. Usage The database is using Zarr format and is composed of two Zarr archives. One archive contains the database of the 25 best analogue days for each target day between 1940 and 2016. The second one contains all hourly median precipitation fields over Belgium from 1940 upon 2016. A notebook showing how to load and explore the dataset with the Python language is available here: https://github.com/ElkeDebrie/RADCLIM-Analogs. Note on the coordinate systems used in the dataset The original RADCLIM product was set on a grid with the Belgian Lambert 2008 used as projection. The product has a spatial resolution of 1 km with each estimate representing the averagedprecipitation on a square of size 1 km. The product covers an area from 0.3W to 9.7E in longitude and from 47.4N to 53.7N in latitude. The dataset coordinates x and y are the coordinates on the plane defined by th…
is version of: zenodo.14965710
issued: 2025
modified: 2025-03-19
publisher: Zenodo
version info: v1.0alpha2
keyword: forecast
keyword: weather
keyword: meteorology
keyword: precipitation
keyword: radar
keyword: analogues
keyword: analogs

Europe's environment 2025 - Country profile Belgium
type: Dataset
creator: European Environment Agency
description: The Belgium country profile provides a concise overview of key trends across three dimensions: environment and climate; socio-economic change; and system change (energy, mobility and food) in the country. It highlights the main developments and challenges in these areas, including measures to support progress towards sustainability in Belgium. An assessment for each of the three dimensions was prepared by national experts from the European Environment Information and Observation Network (Eionet) in Belgium, based on 20 established indicators from the EEA or Eurostat.
issued: 2025-09-30T08:28:21.125323
modified: 2025-09-30T08:43:54.298838
publisher: European Environment Agency
spatial: Belgium
temporal: PeriodOfTime
  end date: 2024-12-31
  start date: 1990-01-01
keyword: Sustainability challenges
keyword: Climate change mitigation
keyword: Sustainable finance
keyword: Energy efficiency
keyword: Energy
keyword: Renewable energy
theme: ENVI

WMS link
type: Distribution
description: A WMS link need only a visualisator tool to be more than friendly
format: WMS
issued: 2024-11-05T09:29:10.340716
license: CC BY 4 0
modified: 2024-11-07T08:47:31.430426
access URL: https://geoserver.aeronomie.be/geoserver/Communication/ows

richesse_ecotopev6_v5.csv
type: Distribution
format: CSV
issued: 2025-03-13T20:46:44.087116
modified: 2025-03-13T20:47:55.532046
access URL: https://bcc.thebinaryforest.net/dataset/5eee2833-2fe7-432c-849c-fd90088d3f23/resource/88184fec-9c8d-4f99-8694-d87745205dec/download/richesse_ecotopev6_v5.csv
byte size: 2457831
media type: text/csv

Overstromingsrisicokaart Sociale schadekaart - PLUVIAAL - toekomstig klimaat (met klimaatprojectie 2050) - grote kans
type: Dataset
applicable legislation: oj
hvd category: c dd313021
hvd category: c 63be22bd
access rights: PUBLIC
conforms to: http://www.opengis.net/def/crs/EPSG/0/31370
conforms to: N02c2181bdbce4612a2e9542ad5bb6c2a
description: Deze kaart toont de sociale impact van een overstroming door intense neerslag met een kleine kans, middelgrote kans en grote kans bij toekomstig klimaat (met klimaatprojectie 2050). De sociale impact wordt berekend in functie van de sociale kwetsbaarheid en aantal getroffen personen uitgedrukt in een relatieve sociale impact score/m².
issued: 2019-12-22
language: NLD
modified: 2025-12-18T14:26:59.043919
publisher: VLAAMSE MILIEUMAATSCHAPPIJ
spatial: Location
temporal: PeriodOfTime
  end date: 2027-03-22
  start date: 2019-03-22
contact point: VLAAMSE MILIEUMAATSCHAPPIJ
keyword: Flood risk zones high probability scenario (Floods Directive)
keyword: Water Information System for Europe (WISE)
keyword: Gebieden met natuurrisico's
keyword: Floods Directive
theme: ENVI

TROPOMI CHOCHO A4
type: Distribution
description: Glyoxal
format: PNG
issued: 2024-10-31T12:58:23.352394
license: CC BY 4 0
modified: 2024-11-05T13:47:23.692488
byte size: 8173585
media type: https://www.iana.org/assignments/media-types/image/png

Namelist.input
type: Distribution
description: Text file that is used by the model code to configure WRF-Chem.
format: TXT
issued: 2025-01-13T11:04:16.702890
license: CC BY 4 0
modified: 2025-01-14T13:01:19.035948
access URL: https://data.aeronomie.be/dataset/5aab6657-a66c-45be-8b00-dad5ae4b0cca/resource/c2285aac-2afc-4665-b284-fd745bc55bce/download/namelist.input
byte size: 6259

WWW:DOWNLOAD-1.0-http--download
type: Distribution
conforms to: WWW:DOWNLOAD-1.0-http--download
format: GML
issued: 2025-10-15T14:39:41.051449
license: v1.0
modified: 2025-10-15T14:39:41.040112
rights: noLimitations
access URL: https://geoservice.waterinfo.be/OGRK/download/KUST_noCC/lijninfrastructuren_KUST_noCC_T1000.gml

WWW:DOWNLOAD-1.0-http--download
type: Distribution
conforms to: WWW:DOWNLOAD-1.0-http--download
description: EPSG:3035
format: GML
issued: 2025-09-11T11:27:35.563375
license: v1.0
modified: 2025-12-18T14:26:59.051142
rights: noLimitations
media type: image/tiff

key_indicators_on_future_belgian_climate.ods
type: Distribution
issued: 2025-03-13T19:37:30.690660
modified: 2025-03-13T19:38:52.922385
access URL: https://bcc.thebinaryforest.net/dataset/5eee2833-2fe7-432c-849c-fd90088d3f23/resource/5606b054-8f03-4391-ae61-428787b88f5e/download/key_indicators_on_future_belgian_climate.ods
byte size: 19032

priorlist_vernNames.csv
type: Distribution
format: CSV
issued: 2025-03-13T20:47:55.539929
modified: 2025-03-13T20:49:40.829015
access URL: https://bcc.thebinaryforest.net/dataset/5eee2833-2fe7-432c-849c-fd90088d3f23/resource/9f007733-9d39-4f5d-b4e9-add707011789/download/priorlist_vernnames.csv
byte size: 36082
media type: text/csv

Environment and climate
type: Distribution
description: Key trends and assessments for environment and climate -
format: HTML
issued: 2025-09-30T08:30:31.860554
modified: 2025-09-30T08:43:21.438232
access URL: https://www.eea.europa.eu/en/europe-environment-2025/countries/belgium

VITO - VLAAMSE INSTELLING VOOR TECHNOLOGISCH ONDERZOEK
type: Kind
type: Agent
fn: VITO - VLAAMSE INSTELLING VOOR TECHNOLOGISCH ONDERZOEK
has URL: https://www.vito.be

Climate projections for Belgium
type: Dataset
access rights: Open Data
bibliographic citation: Termonia, P., Van Schaeybroeck, B., De Cruz, L., et al.. (2018). The CORDEX.be initiative as a foundation for climate services in Belgium. CLIMATE SERVICES, 11, 49-61. http://dx.doi.org/10.1016/j.cliser.2018.05.001
description: The climate projections for Belgium are available as different data types: 1/ Daily climate model simulations and projections at a high spatial resolution of 0.025° or 2.8km for 3 Regional Climate Models (download service with NetCDF files): - ALARO-0 forced with the Global Climate Model ‘CNRM-CERFACS-CNRM-CM5’, calculated by RMIB-UGent; - COSMO-CLM5.0-TERRA-URB forced with the Global Climate model ‘ICHEC-EC-EARTH’, calculated by KULeuven; - COSMO-CLM5.0 forced with the Global Climate Model ‘MPI-M-MPI-ESM-LR’, calculated by UCLouvain. 2/ Climate indicators for a present (1975) and future (2085) target year under a mean and high impact scenario (view and download service with raster files). The climate indicators for Belgium were obtained by a statistical downscaling based on the high-resolution Belgian climate model projections, as well as on a large set of both Global Climate Model runs (CMIP5) and Regional Climate Model runs for Europe (EURO-CORDEX).
issued: 2025-04-24T09:22:10.956692
modified: 2026-01-09T14:05:31.617719
rights: •The custodian of the resource holds the rights of property (including the rights of intellectual property) to the geographic files •The custodian grants the user the right to use the data for his internal use. •Commercial use of the data under any form is strictly forbidden •Custodian’s name must be mentioned each time the data are being used publically.
spatial: Location
  preferred label: http://publications.europa.eu/resource/authority/country/BEL
contact point: Kind
  fn: Belgian Climate Centre
  has URL: www.climatecentre.be
keyword: Climate indicators
keyword: Climate projections
keyword: High resolution
keyword: Representative Concentration Pathway
theme: ENVI

My new dataset
type: Dataset
access rights: access rights
bibliographic citation: My related publication (2024)
bibliographic citation: My second related publication (2023)
bibliographic citation: My third publication (2025)
creator: Name 1
creator: Name 2
description: desciption
issued: 2025-11-21T15:59:09.229969
modified: 2026-01-09T14:01:05.909563
publisher: Publisher's name
  type: Agent
  type: Precise type here and check DCAT
rights: rights statement, limited use
spatial: BEL
temporal: PeriodOfTime
  end date: 2021-12-12
  start date: 2020-12-01
temporal: PeriodOfTime
  end date: 2022-10-18
  start date: 2022-10-15
version info: 1.0
identifier: https://doi.org/00.0000000
contact point: Kind
  fn: Belgian Climate Centre
  has URL: https://www.climatecentre.be/
keyword: Mass spectrometry
keyword: top-down inversion
keyword: Climate projections
theme: ENVI

OGC:WFS-2.0.0-http-get-feature
type: Distribution
conforms to: OGC:WFS-2.0.0-http-get-feature
issued: 2025-10-15T14:39:41.051446
license: v1.0
modified: 2025-10-15T14:39:41.039982
access URL: https://geoservice.waterinfo.be/OGRK/wfs

Link to maps
type: Distribution
description: The layers button, on the left side, offers selection of the molecule
format: HTML
issued: 2024-10-31T08:43:20.883271
license: CC BY 4 0
modified: 2024-10-31T12:56:49.312388
access URL: https://uv-vis.aeronomie.be/geoserver/3ytropomi/maps.html
media type: https://www.iana.org/assignments/media-types/text/html

OGC:WCS-1.1.0-http-get-coverage
type: Distribution
conforms to: OGC:WCS-1.1.0-http-get-coverage
issued: 2025-09-11T11:27:35.563369
license: v1.0
modified: 2025-12-18T14:26:59.050794
access URL: https://geoservice.waterinfo.be/OGRK/wcs

Dataset of the CO/CO2 ratio retrieved from solar occultation by TGO/NOMAD, presented in Yoshida et al., 2022
type: Dataset
bibliographic citation: Yoshida, N., Vandaele, A. C., & Thomas, I. (2022). Dataset of the CO/CO2 ratio retrieved from solar occultation by TGO/NOMAD, presented in Yoshida et al., 2022 (Version 1) [Data set]. Royal Belgian Institute for Space Aeronomy. https://doi.org/10.18758/71021076
creator: Vandaele, Ann Carine
creator: Thomas, Ian
creator: Yoshida, Nao
description: The CO/CO2 ratio in MY 35 retrieved from solar occultation observations by Nadir and Occultation for Mars Discovery (NOMAD) onboard the ExoMars Trace Gas Orbiter (TGO), presented in Yoshida et al., 2022. The dataset contains the CO/CO2 ratio at tangential altitude retrieved from the Solar Occultation channel of NOMAD. The dataset is separated into one text file per solar occultation. Version 2 corrects an error in the latitude/longitude/Ls/local time values in the header of each file; plus some files in version 1 did not contain any data, so these have been removed from version 2.
is referenced by: 2022GL098485
issued: 2022-04-25T00:00:00
language: ENG
modified: 2025-09-02T09:12:50.244468
publisher: Royal Belgian Institute for Space Aeronomy
source: Thomas, I., Willame, Y., & Trompet, L. (2025). Calibrated PDS4 Data from NOMAD on the ExoMars Trace Gas Orbiter (Version 1) [Data set]. Royal Belgian Institute for Space Aeronomy. https://doi.org/10.18758/9F0PCA5R
temporal: PeriodOfTime
  end date: 2021-02-01
  start date: 2019-04-01
version info: 1
contact point: Kind
  fn: Royal Belgian Institute for Space Aeronomy
keyword: Planetary aeronomy
keyword: Mars
keyword: Observed data
keyword: NOMAD
landing page: https://data.aeronomie.be/dataset/b6b50975-0953-4d0c-8e6b-ab41e58de6a9

Global solar radiation - 1975 (winter)
type: Distribution
description: Winter mean global solar radiation given in kWh/m²/day. The global solar radiations fields are available for the present target year 1975, which corresponds to the middle of the 30-year period 1961-1990.
format: TIFF
issued: 2025-03-07T15:15:54.991638
modified: 2025-03-07T15:15:55.773060
byte size: 211754
media type: image/tiff

View service - Climate indicators for Belgium
type: Distribution
description: WMS visualization link to read data e.g., in a GIS system or a webmap
format: WMS
issued: 2025-04-24T09:23:07.800716
modified: 2025-04-24T09:30:37.183109
access URL: https://data.geo.be/ws/bcc/wms

Test another one
type: Dataset
creator: Name 1
creator: Name 2
description: My super description
issued: 2025-10-16T12:05:44.434878
modified: 2025-10-23T15:16:06.170829
publisher: Publisher's name
  type: Agent
  type: Public service
spatial: Europe
temporal: PeriodOfTime
  end date: 2020-07-06
  start date: 2021-02-05
temporal: PeriodOfTime
  end date: 1991-08-07
  start date: 1990-08-08
contact point: Kind
  fn: Name contact
  has URL: contactsomeonebcc.fr
contact point: Kind
  fn: Name contact 2
keyword: Economy
theme: ENVI

WRF-Chem simulations of CO2, CH4 and CO over Belgium and Western Europe
type: Dataset
bibliographic citation: Wang, J., & Callewaert, S. (2025). WRF-Chem simulations of CO2, CH4 and CO over Belgium and Western Europe (Version 1) [Data set]. Royal Belgian Institute for Space Aeronomy. https://doi.org/10.18758/3WH7JTEJ
creator: Wang, Jiaxin
creator: Callewaert, Sieglinde
description: This data set contains the hourly WRF-Chem v4.1.5 model output over two nested domains centered around Belgium. The inner domain has a horizontal resolution of 3 x 3 km and covers Belgium and part of its neighbouring countries. The parent domain has a horizontal resolution of 9 x 9 km and covers a large part of Western Europe. The simulation period is from 1 June 2018 until 1 September 2018. The model output files are in NetCDF format and contain a wide range of meteorological variables as well as concentration fields for CO2, CH4 and CO split in different tracers depending on the source sector: background, anthropogenic, biogenic, ocean etc. The meteorological and chemical initial and lateral boundary conditions are taken from ECMWF ERA5 and CAMS reanalysis (egg4, eac4). Anthropogenic emissions are from EDGAR v7.0 for CO2 and CH4, while they are from EDGAR v6.1 for CO. Biomass buring emissions are from the Fire INventory from NCAR (FINN v2.5, Wiedinmyer at al. 2023)), CH4 wetlands emissions are from WetCHARTs (Bloom et al., 2017) and CO2 ocean exchange from Landschützer et al. (2019) (https://doi.org/10.25921/9hsn-xq82). Remark that there was an offset added to the uptake tracer fields: 50 ppm for CO2_BIO and CO2_OCE, and 1.8 ppm for CH4_BIO. This should be subtracted when processing the data. The corresponding namelist.input text file is also provided. These simulations have been made in the context of the BELSPO BRAIN 2.0 project “VERBE” (*Towards a greenhouse gas emission monitoring and VERification system for BElgium*, https://verbe.aeronomie.be/ , 2022-2026). Size: 7 GB per day
issued: 2025-01-13T11:04:15.951049
language: ENG
modified: 2025-02-06T13:50:09.775937
publisher: Royal Belgian Institute for Space Aeronomy
spatial: Location
temporal: PeriodOfTime
  end date: 2018-01-09T00:00:00
  start date: 2018-01-06T00:00:00
version info: 1
contact point: Kind
  fn: Royal Belgian Institute for Space Aeronomy
keyword: europe
keyword: simulations
keyword: Chemical composition and climate
keyword: greenhouse gases
keyword: CO2 - Carbon dioxide
keyword: Model data
keyword: CH4 - Methane
keyword: model
keyword: troposphere
keyword: CO - Carbon monoxide
keyword: high resolution
keyword: belgium
landing page: https://data.aeronomie.be/dataset/5aab6657-a66c-45be-8b00-dad5ae4b0cca
spatial resolution in meters: 3000
temporal resolution: PT1H

INSPIRE - Evaluation Préliminaire des Risques d'Inondation - Événements futurs basés sur le scénario d'inondation de période de retour extrême en Wallonie (BE) - ETRS89 / Belgian Lambert 2008
type: Distribution
applicable legislation: oj
description: INSPIRE - Evaluation Préliminaire des Risques d'Inondation - Événements futurs basés sur le scénario d'inondation de période de retour extrême en Wallonie (BE) dans le système de coordonnées ETRS89 / Belgian Lambert 2008 (EPSG:3812)
format: GMZ
issued: 2024-11-15
language: FRA
license: CC BY 4 0
modified: 2024-08-13
rights: N4112e61318284f45b6d27a1726ee4b3b
access URL: https://geodata.wallonie.be/dataset/9c16b034-56d1-4543-a0df-a5c84520049f
byte size: 189486637
download URL: https://geoservices.wallonie.be/geotraitement/spwdatadownload/get/9c16b034-56d1-4543-a0df-a5c84520049f/NZ_HazardArea_EPRI_EvtsFuturs.gml.zip
media type: application/x-gmz

Greenhouse gas emissions (i64)
type: Distribution
issued: 2025-03-14T08:57:18.192553
modified: 2025-03-14T08:57:18.440056
access URL: https://indicators.be/en/i/G13_GHG/Greenhouse_gas_emissions_%28i64%29

Socio-economic change
type: Distribution
description: Key trends and assessments for socio-economic change
format: HTML
issued: 2025-09-30T08:31:39.346583
modified: 2025-09-30T08:43:40.030484
access URL: https://www.eea.europa.eu/en/europe-environment-2025/countries/belgium

MercatorNet
type: Kind
type: Agent
fn: MercatorNet

Combined Effect of Changing Hydroclimate and Human Activity on Coastal Ecosystem Health (AMOREIII)
type: Distribution
description: AMORE III addresses the dual control of changing human activity and climate on eutrophication in the Belgian coastal zone and the feedback effect on goods (newly-deployed offshore mussel farming) and services (atmospheric CO2 absorption). AMORE III has among others assessed the geographical spreading and the magnitude of Phaeocystis blooms in the EEZ, the impact of Phaeocystis colony spreading on offshore mussel farming. It combined field observations, laboratory-controlled experiments, and mathematical modelling in an iterative way.
format: TXT
issued: 2025-10-09T10:23:36.443805
modified: 2025-10-09T10:23:36.607992
access URL: http://ipt.naturalsciences.be/ipt/archive.do

TROPOMI NO2 Full size (150cm)
type: Distribution
description: Nitroxen dioxide full size poster
format: PDF
issued: 2024-11-05T13:43:12.908485
license: CC BY 4 0
modified: 2024-11-05T13:43:12.835241
access URL: https://data.aeronomie.be/dataset/fc2f688b-0691-44ca-9c6a-b6a274ba3990/resource/9817d7c2-69d4-4a48-932f-af64f34a23b4/download/postertropomi_no2_2018_2020.pdf
byte size: 44858079
media type: https://www.iana.org/assignments/media-types/application/pdf

Heatwaves in Uccle since 1901
type: Distribution
description: The Royal Meteorological Institute (KMI-IRM) defines a heatwave as a period during which the daily maximum temperature is at least 25.0°C for five or more consecutive days, with at least three of those days reaching a maximum of 30.0°C or higher.
format: CSV
issued: 2025-04-07T13:35:24.170943
modified: 2025-04-07T13:38:19.855407
access URL: https://bcc.thebinaryforest.net/dataset/c5b4ca87-2d6b-4e5b-83d1-5bf53457817e/resource/c88b137e-fccf-4215-a69e-8d5c4fed741d/download/heat_waves_uccle_reconstructed_closed_shelter_1892_2023.csv
byte size: 3162
media type: text/csv

Data
type: Distribution
description: This file contains all detailed quantitative data for all categories of emission sources by sector and sub-sector between 1990 and 2023. Previous versions are all available here: https://cdr.eionet.europa.eu/be/eu/govreg/inventory/envz91a2q/index_html?&page=2
format: XLSX
issued: 2025-04-23T15:42:05.398379
modified: 2025-07-24T14:05:39.207112
access URL: https://cdr.eionet.europa.eu/be/eu/govreg/inventory/envz91a2q/BEL-CRT-2025-V0.9-2023-20250314-102617_started.xlsx

TROPOMI HCHO A4
type: Distribution
description: Formaldehyde
format: PNG
issued: 2024-11-05T13:39:20.311240
license: CC BY 4 0
modified: 2024-11-05T13:39:20.272815
byte size: 7986872
media type: https://www.iana.org/assignments/media-types/image/png

User guide for daily climate model simulations and projections for Belgium
type: Distribution
description: User guide for daily climate model simulations and projections for Belgium (download service with NetCDF files)
format: PDF
issued: 2025-04-24T09:38:39.669536
modified: 2025-04-24T09:40:58.060676
access URL: https://ac.ngi.be/remoteclient-open/GeoBePartners-open/BelgianClimateCentre/UserGuide/User%20guide%20for%20daily%20climate%20model%20simulations%20and%20projections%20for%20Belgium.pdf
media type: application/pdf

My super new dataset
type: Dataset
bibliographic citation: My second related publication (2023)
bibliographic citation: My related publication are you displayed or not (2022)
creator: Valérie T.
creator: Rozemien D.
description: Here is described
issued: 2025-09-11T15:05:52.428733
modified: 2025-11-21T21:32:31.314803
publisher: Belgian Climate centre
rights: info access
spatial: Europe
temporal: PeriodOfTime
  end date: 2021-11-08
  start date: 2020-11-08
version info: 1.0
identifier: https://doi.org/00.0000000
contact point: Kind
  fn: Second cotact point if needed
contact point: Kind
  fn: Belgian Climate Centre
  has URL: https://www.climatecentre.be/
keyword: tree rings
keyword: test
keyword: climate
theme: ENVI

Royal Meteorological Institute of Belgium
type: Agent