This is a thin cloud removal dataset (NUAA-CR4L8/9) for Landsat 8 and 9 images. If you find this useful, consider citing our work:[1] Li, J., Wang, Y., Sheng, Q., Wu, Z., Wang, B., Ling, X., Liu, X., Du, Y., Gao, F., Camps-valls, G., Molinier, M., 2025. CloudRuler : Rule-based transformer for cloud removal in Landsat images. Remote Sens. Environ. 328, 114913. https://doi.org/10.1016/j.rse.2025.114913[2] Du, Y., Li, J., Sheng, Q., Zhu, Y., Wang, B., Ling, X., 2024. Dehazing Network: Asymmetric Unet Based on Physical Model. IEEE Trans. Geosci. Remote Sens. 62, 1–12. https://doi.org/10.1109/TGRS.2024.3359217The Collection 2 Level 1 data served as the source data for the NUAA-CR4L8/9 dataset. There are 20 paired images, consisting of both cloudy and cloud-free scenes, from Landsat 8 and 9, acquired between 2022 and 2024, with an 8-day time interval for the same region in each image pair. In each image pair, if the Landsat 8 or 9 image is cloudy, the cloud-free image is chosen from the other satellite. The ratio of training and testing image pairs is set to 4:1. In this way, 16 image pairs are used for training, and four image pairs are used for testing, respectively. All the images are located in Southeast of USA. Both training and testing datasets contain different types of land cover. This makes the NUAA-CRL8/9 dataset representative.

This is a thin cloud removal dataset (NUAA-CR4L8/9) for Landsat 8 and 9 images. If you find this useful, consider citing our work:[1] Li, J., Wang, Y., Sheng, Q., Wu, Z., Wang, B., Ling, X., Liu, X., Du, Y., Gao, F., Camps-valls, G., Molinier, M., 2025. CloudRuler : Rule-based transformer for cloud removal in Landsat images. Remote Sens. Environ. 328, 114913. https://doi.org/10.1016/j.rse.2025.114913[2] Du, Y., Li, J., Sheng, Q., Zhu, Y., Wang, B., Ling, X., 2024. Dehazing Network: Asymmetric Unet Based on Physical Model. IEEE Trans. Geosci. Remote Sens. 62, 1–12. https://doi.org/10.1109/TGRS.2024.3359217The Collection 2 Level 1 data served as the source data for the NUAA-CR4L8/9 dataset. There are 20 paired images, consisting of both cloudy and cloud-free scenes, from Landsat 8 and 9, acquired between 2022 and 2024, with an 8-day time interval for the same region in each image pair. In each image pair, if the Landsat 8 or 9 image is cloudy, the cloud-free image is chosen from the other satellite. The ratio of training and testing image pairs is set to 4:1. In this way, 16 image pairs are used for training, and four image pairs are used for testing, respectively. All the images are located in Southeast of USA. Both training and testing datasets contain different types of land cover. This makes the NUAA-CRL8/9 dataset representative.

Uranium-series dating data and Data on chemical composition of halite

Uranium-series dating data and Data on chemical composition of halite

Exploring the differences in flavor volatiles and quality characteristics of seven commercially available Panax ginseng products: A comprehensive analysis using GC × GC-ToF-MS, sensory evaluation and multivariate statistics

The excel file consists of grain size, heavy mineral, and tidal current data from tidal sand ridge field off the Liuguhe River mouth in the Liaodong Bay, Bohai Sea. The grain size data include the mean grain size, sorting, skewness, and kurtosis; the contents of gravel, sand, and mud; the weight percentage and cumulative weight percentage of grain size component in core C9, C10, and C99. The heavy mineral data include the content of each heavy mineral in core C4. The tidal current data include the direction, velocity, east and north components of velocity throughout water column and these at 100 cm above seabed in site TC15.

The excel file consists of grain size, heavy mineral, and tidal current data from tidal sand ridge field off the Liuguhe River mouth in the Liaodong Bay, Bohai Sea. The grain size data include the mean grain size, sorting, skewness, and kurtosis; the contents of gravel, sand, and mud; the weight percentage and cumulative weight percentage of grain size component in core C9, C10, and C99. The heavy mineral data include the content of each heavy mineral in core C4. The tidal current data include the direction, velocity, east and north components of velocity throughout water column and these at 100 cm above seabed in site TC15.

Exploring the differences in flavor volatiles and quality characteristics of seven commercially available Panax ginseng products: A comprehensive analysis using GC × GC-ToF-MS, sensory evaluation and multivariate statistics

A high-quality reference genome coupled with resequencing data is becoming a promising strategy to address issues in conservation genomics, which has greatly enhanced the development of conservation plans for endangered species. Pangolins are fascinating animals with a range of distinctive features, but unfortunately, they are the world's most trafficked wild animals. Here, we report a haplotype-resolved and chromosome-scale genome for the Chinese pangolin (Manis pentadactyla), the most representative reference genome for pangolin species. We assembled 20 chromosome-scale pseudomolecules for MP. The diploid genome sizes assembled for MP were ~2.64 Gb, and represented 92.48% of the estimated genome size. The contig and scaffold NG50 of the MP were 456.16 Mb and 140.71 Mb.

A high-quality reference genome coupled with resequencing data is becoming a promising strategy to address issues in conservation genomics, which has greatly enhanced the development of conservation plans for endangered species. Pangolins are fascinating animals with a range of distinctive features, but unfortunately, they are the world's most trafficked wild animals. Here, we report a haplotype-resolved and chromosome-scale genome for each of the Chinese pangolin and Malayan pangolin, the most representative reference genome for pangolin species. We found a greater improvement in evaluation of genetic diversity and inbreeding based on high-quality genomes and obtained different results in detecting genome-wide extinction risks being compared with short read assembled genomes. Moderate inbreeding and genetic diversity were verified again in these two pangolin species except for one Malayan pangolin population with the high inbreeding and low genetic diversity, which we recommend to pay special attention to the conservation and protection of this population. Additionally, our study is the first to detect relative mild genetic purging in pangolin populations that were analyzed. These two high quality reference genomes will provide valuable genomic resource for future studies on the protection and conservation for pangolins.