Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata. DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates and remaining unadjusted. REGION: Africa SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available.

The Singapore Nanopore Expression (SG-NEx) project is an international collaboration to generate reference transcriptomes and a comprehensive benchmark data set for long read Nanopore RNA-Seq. Transcriptome profiling is done using PCR-cDNA sequencing (PCR-cDNA), amplification-free cDNA sequencing (direct cDNA), direct sequencing of native RNA (direct RNA), and short read RNA-Seq. The SG-NEx core data includes 5 of the most commonly used cell lines and it is extended with additional cell lines and samples that cover a broad range of human tissues. All core samples are sequenced with at least 3 high quality replicates. For a subset of samples spike-in RNAs are used and matched m6A profiling data is available.

A high-resolution map of Singapore’s terrestrial ecosystems. The dataset is described in the accompanying data descriptor article, available here: https://www.mdpi.com/2306-5729/4/3/116 Please reference this article when using the dataset.

DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Asia SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - VNM_popmap10adj_v2.tif = Vietnam (VNM) population count map for 2010 (popmap10) adjusted to match UN national estimates (adj), version 2 (v2). DATE OF PRODUCTION: January 2013

Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata.

DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted.

REGION: Africa

SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator)

PROJECTION: Geographic, WGS84

UNITS: Estimated persons per grid square

MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743.

FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)

FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available.

Singapore data available from WorldPop here.

Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata. DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Africa SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available. Singapore data available from WorldPop here.

Date of Images:1/15/2022, 1/22/2022Date of Next Image:UnknownSummary:1/15/2022 (Copernicus Sentinel-1)The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Damage Proxy Map (DPM) depicting areas that are likely damaged in the Vava'u and Ha'apai islands of Tonga due to the eruption of Hunga Tonga-Hunga Ha'apai volcano on 15 Jan 2022. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellites operated by the European Space Agency (ESA) from 17 Sept 2021 to 15 Jan 2022.1/22/2022 (JAXA ALOS-2)The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Damage Proxy Map (DPM) depicting areas that are likely damaged in Tongatapu and southern Ha'apai islands of Tonga due to the eruption of Hunga Tonga-Hunga Ha'apai volcano on 15 Jan 2022. This map was derived from synthetic aperture radar (SAR) images acquired by ALOS-2 satellites operated by the Japan Aerospace Exploration Agency (JAXA) before (9 Mar 2019, 7 Mar 2020) and after (22 Jan 2022) the event.Suggested Use:The color variation from yellow to red indicates increasingly more significant surface change. Preliminary validation was done by comparing with high-resolution optical imagery. NOTE: On the JAXA ALOS-2 DPM on 1/22/2022, areas of yellow may indicate no change.This damage proxy map should be used as guidance to identify damaged areas or areas affected by heavy volcanic ash fall, and may be less reliable over vegetated areas. For example, the scattered colored pixels over vegetated areas may be false positives, and the lack of colored pixels over vegetated areas does not necessarily mean no damage. This map is most sensitive to building damage and other large changes, but small-scale change or partial structural damage may not be detected by this map.Satellite/Sensor:Japan Aerospace Exploration Agency (JAXA) ALOS-2 PALSAR-2Copernicus Sentinel-1 Synthetic Aperture Radar (SAR)Resolution:JAXA ALOS-2: 25 metersCopernicus Sentinel-1: 30 metersCredits:Sentinel-1 data were accessed through the Copernicus Open Hub. The product contains modified Copernicus Sentinel data (2021-2022), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), using the Advanced Rapid Imaging and Analysis (ARIA) system originally developed at NASA's Jet Propulsion Laboratory, California Institute of Technology, and modified at EOS-RS.The Earth Observatory of Singapore (EOS) coordinated with Sentinel Asia to timely task the ALOS-2 satellite. Data was analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS).Esri REST Endpoint:See URL Section on right side of pageWMS Endpoint:https://maps.disasters.nasa.gov/ags04/services/tonga_volcano_tsunami_202201/eosrs_dpm/MapServer/WMSServerData Download:http://eos-rs-products.earthobservatory.sg/EOS-RS_202201_Tonga_HungaTonga_Volcano/

Date of Image:2/8/2023, 2/9/2023, 2/10/2023Date of Next Image:UnknownSummary:2/8/2023 (EOS-RS, JAXA ALOS-2)The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Damage Proxy Map (DPM) depicting areas that are likely damaged in Turkiye (Turkey) and Syria due to the M7.8 and M7.5 earthquakes that occurred on 6 Feb 2023. This map was derived from synthetic aperture radar (SAR) images acquired by the ALOS-2 satellite operated by the Japan Aerospace Exploration Agency (JAXA) before (7 Apr 2021 and 6 Apr 2022) and after (8 Feb 2023) the event.2/9/2023 (EOS-RS, Copernicus Sentinel-1)The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Damage Proxy Map (DPM) depicting areas that are likely damaged in Turkiye (Turkey) and Syria due to the M7.8 and M7.5 earthquakes that occurred on 6 Feb 2023. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellite operated by the European Space Agency (ESA) before (12 Oct 2022 to 28 Jan 2023) and after (9 Feb 2023) the event.2/10/2023 (EOS-RS, Copernicus Sentinel-1)The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Damage Proxy Map (DPM) depicting areas that are likely damaged in Turkiye (Turkey) and Syria due to the M7.8 and M7.5 earthquakes that occurred on 6 Feb 2023. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellite operated by the European Space Agency (ESA) before (13 Oct 2022 to 29 Jan 2023) and after (10 Feb 2023) the event.Suggested Use:Standard Version: The color variation from pale yellow to red indicates increasingly more significant surface change (drop in radar reflection coherence). Preliminary validation was done by comparing with high-resolution optical imagery and media reports.Color Vision Deficiency (CVD) Version: The color variation from light blue to dark blue indicates increasingly more significant surface change. Preliminary validation was done by comparing with high-resolution optical imagery and media reports.NOTE: This damage proxy map could be used as a guidance to identify damaged areas, and may be less reliable over vegetated areas. The time intervals between the ALOS-2 acquisitions are up to a year apart, so the accuracy of the DPM may be lower in areas of vegetation, such as in the mountains. Scattered pixels over vegetated areas may be false positives, and a lack of colored pixels over vegetated areas may not mean no damage.Satellite/Sensor:Japan Aerospace Exploration Agency (JAXA) ALOS-2 PALSAR-2Copernicus Sentinel-1 Synthetic Aperture Radar (SAR)Resolution:30 metersCredits:Original data ALOS-2 PALSAR-2 Product - JAXA (2021-2023). Data were provided by Sentinel Asia and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) in collaboration with NASA-JPL and Caltech.The product contains modified Copernicus Sentinel data (2022-2023), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) in collaboration with NASA-JPL and Caltech, using the Advanced Rapid Imaging and Analysis (ARIA) system originally developed at NASA's Jet Propulsion Laboratory, California Institute of Technology, and modified at EOS-RS. Esri REST Endpoint:See URL section on right side of pageWMS Endpoint:https://maps.disasters.nasa.gov/ags04/services/turkey_earthquake_2023/dpm/MapServer/WMSServerData Download:http://eos-rs-products.earthobservatory.sg/EOS-RS_202302_Turkiye_Syria_Earthquake/