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#HDX

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🌍 Kontur's сontributions to the рumanitarian sector

Since 2020, Kontur has published over 500 datasets on the HDX (Humanitarian Data Exchange) platform! 📊✨ These resources are being utilized by humanitarian organizations around the globe, and we’re excited to share the usage statistics with you.

You can find them at data.humdata.org. If you're looking for something specific or have any questions, don’t hesitate to reach out to us at hello@kontur.io! 📧🤝

High-Quality Population Data

The Kontur Population Dataset is becoming increasingly popular and trusted, with over 5,300 downloads on #HDX (data.humdata.org/).
This dataset provides detailed global population density data, mapped to 400m H3 hexagons.

You can use this free dataset to elevate your projects or subscribe to Atlas (atlas.kontur.io), a powerful service built on this dataset. If you require custom processing or a higher-resolution version, please contact us.

Continued thread

30 DAY MAP CHALLENGE 2024 | DAY 8 - DATA:HDX

Relative Wealth Index

The Relative Wealth Index (RWI) from Meta are microestimates showing the relative wealth and poverty of different areas in a country.

IMPORTANT: As with any global-scale, machine-learning product, you should first validate the usefulness and applicability to your local context.

#30DayMapChallenge Day 8: HDX Data

"The Belt of Trouble": the most vulnerable countries are the most dangerous to aid workers.🌍🚨

The map showcases countries with the highest vulnerability scores, as measured by the WorldRiskIndex dataset prepared by the Institute for International Law of Peace and Armed Conflict and shared through the HDX. The dataset of aid worker assaults is prepared by the Humanitarian Outcomes and also shared through the #HDX. Countries' boundary data is provided by GADM.

#30DayMapChallenge 🗺️ Day 8️⃣: #HumanitarianDataExchange (#HDX)

I have questions. 🙋

I was browsing the HDX data on #ClimateChange and found this wind speed hazard data from #ETHZürich Weather and Climate Risks group generated using their Climada tool. What’s interesting was they provided wind speeds in a ~4×4–km grid but as a CSV file! I had no idea what the data looked like and so I rendered it as a map with the speed colored using the #Viridis Mako palette (originally from seaborne).

🧵 1/3

Another Wilson group Research retrospective! This one is actually a big review in #ACS #chemicalreviews which bills itself (mostly correctly) as the 'Journal of Record' for 'state of the field' reviews in Chemistry...

Here's our take on "Subsecond Time-resolved #HDX #massspectrometry in Dynamic Structural Biology". I'm proud to say that this paper was dubbed 'provocative' by one reviewer and also features what looks like a leopard pooping a protein in the TOC figure.

pubs.acs.org/doi/abs/10.1021/a