Netherlands Nature Reserves Database 2023 Update

Comprehensive and updated dataset of Netherlands nature reserves: explore locations, unique attributes, and popularity insights
BUY FULL DATASET
Fresh data 100+ rows Commercial license
Sample data
Name Alternate Names Country Code Region Province Type Latitude Longitude Population Elevation Timezone
Bakelse Beemden Bakelsche Beemden,Bakelse Beemden NL North Brabant 0 nature reserves 51.500130 5.695740 0 0 Europe/Amsterdam
Bakkeveense Duinen Bakkeveense Duinen,De Duinen NL Friesland 0 nature reserves 53.083610 6.278450 0 0 Europe/Amsterdam
Balloerveld Balloerveld,Balloërveld NL Drenthe Gemeente Aa en Hunze nature reserves 53.016200 6.648400 0 0 Europe/Amsterdam
Bongeveen Bongeveen,Bongveen NL Drenthe 0 nature reserves 53.104500 6.516280 0 0 Europe/Amsterdam
Boschplaat Bosch,Boschplaat,Noordoostpunt NL Friesland 0 nature reserves 53.434950 5.500210 0 0 Europe/Amsterdam
De Biezen De Biezen,De Biezen en Milschot NL North Brabant 0 nature reserves 51.530700 5.671810 0 0 Europe/Amsterdam
De Bol De Bol,Vogelweid De Bol NL North Holland 0 nature reserves 53.103220 4.890240 0 0 Europe/Amsterdam
De Bruuk De Bruuk,Natuurreservaat De Bruuk NL Gelderland 0 nature reserves 51.762400 5.967170 0 0 Europe/Amsterdam
De Haere De Haere,Haereland NL Gelderland 0 nature reserves 52.403700 5.860460 0 0 Europe/Amsterdam
De Hamert De Hamert,Nationaal Park De Maasduinen NL Limburg 0 nature reserves 51.546970 6.138110 0 0 Europe/Amsterdam
Available data formats

What's included in Netherlands Nature Reserves database

We collect and enrich data on Netherlands nature reserves and provide you with various metrics you can use for you project
Exact location
Region, city, zip code, latitude, longitude etc
Unique attributes
Elevation, unique features, alternative names etc
Popularity
Population, refresh date, related locations, etc
CHECK PRICES

Netherlands nature reserves data sources

We curate information from numerous open-source data streams, ensuring comprehensive coverage of Netherlandsnature reserves. Our team meticulously cleans and refines this data, offering you a streamlined and user-friendly dataset, primed for efficient and accurate use.

Netherlands Nature Reserves DB - Frequently asked questions

More information about Netherlands nature reserves dataset and how it works
What does this dataset include?
This dataset provides comprehensive information on nature reservesaround Netherlands, detailing their locations, elevation and other unique attributes.
How frequently is the nature reserves data updated?
We update our nature reserves dataset annually to ensure current and accurate information.
In which formats is the nature reserves data available?
The nature reserves dataset is available in 20 different formats including: CSV, Excel, and GeoJSON for easy integration
Can I use Netherlands nature reserves data for commercial purposes?
Yes, the nature reserves dataset is licensed for both personal and commercial use.
How is Netherlands nature reserves data sourced?
We compile nature reserves data from verified global sources, ensuring reliability and breadth of coverage.
Do you provide any historical data on nature reserves?
Currently, our focus is on present-day information, but we are exploring the inclusion of historical nature reserves data in future updates.
How can I integrate the nature reserves data into my GIS system?
The GeoJSON nature reserves dataset format we provide is compatible with most GIS systems, allowing for straightforward integration.
Is there any support if I face issues with the Netherlands nature reserves dataset?
Absolutely! Our team is here to assist with any challenges or questions you may have about the nature reserves dataset.
Are there any sample Netherlands nature reserves data points I can review before purchase?
Yes, please see the sample Netherlands nature reserves dataset file at the top of this page. Click here.
GET NETHERLANDS NATURE RESERVES DATABASE

About us

We collect data from multiple sources to streamline business decision-making. Our mission is to simplify complex geographical datasets, empowering users to make informed decisions with precision and confidence.