The relationship between activity participation and well-being has been well documented for third age adults. However, little has been known about how the financial status influences this relationship. This study aims to investigate the moderating effect of financial status on the association of activity level with subjective happiness and quality of life among third age adults. Systematic sampling was used to select a sample of 304 adults aged 50 and older from an active ageing institute in Hong Kong. Hierarchical regression analyses indicated that activity level was a salient predictor for subjective happiness and quality of life when controlling for socio-demographics. It was not salient anymore when its interaction term with financial status was added to the model. The interaction term significantly predicted quality of life but not subjective happiness. When the data were separated by financial status, activity level saliently predicted subjective happiness and quality of life for participants with good or very good financial statuses but not for those with poor or average statuses. The results suggested that financial status played a moderating role in the relationship between activity participation and well-being. Specifically, third age adults with limited financial resources need more welfare support to benefit from activity participation. This dataset consists of variables used for the publication of : Qin, N., & Lai, D.W.L. (2025). Do Third Age Adults Benefit Equally in Well-Being from Activity Participation? The Moderating Effect of Financial Status. in Plos One

The relationship between activity participation and well-being has been well documented for third age adults. However, little has been known about how the financial status influences this relationship. This study aims to investigate the moderating effect of financial status on the association of activity level with subjective happiness and quality of life among third age adults. Systematic sampling was used to select a sample of 304 adults aged 50 and older from an active ageing institute in Hong Kong. Hierarchical regression analyses indicated that activity level was a salient predictor for subjective happiness and quality of life when controlling for socio-demographics. It was not salient anymore when its interaction term with financial status was added to the model. The interaction term significantly predicted quality of life but not subjective happiness. When the data were separated by financial status, activity level saliently predicted subjective happiness and quality of life for participants with good or very good financial statuses but not for those with poor or average statuses. The results suggested that financial status played a moderating role in the relationship between activity participation and well-being. Specifically, third age adults with limited financial resources need more welfare support to benefit from activity participation. This dataset consists of variables used for the publication of : Qin, N., & Lai, D.W.L. (2025). Do Third Age Adults Benefit Equally in Well-Being from Activity Participation? The Moderating Effect of Financial Status. in Plos One

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Table S1. Phenotype information of AS patient individuals and health controls in discovery stage (156 samples) and validation stage (55 samples). Table S2. Data production and quality control of 156 samples in discovery stage and 55 samples in validation stage. Table S3. The 8743 reference genomes from NCBI and HMP (downloaded on 15 Dec 2013). Table S4. The differentially abundant genus in AS patients (n = 73) and healthy controls (n = 83). Table S5. Assembly result of 156 samples in discovery stage. Table S6. The improvement with the repeatedly assembly. Table S7. Gene prediction of 156 samples in discovery stage. Table S8. Genes with abundance which belong to proteasome modules. All the differentially abundant genes identified in this study only belong to bacterial proteasome. Table S9. The taxonomic annotation of MGSs. Table S10. The phenotypic correlation analysis (p value) of 12 MGSs according to different clinical groups. Table S11. Comparison of the MGS in different diseases. Table S12. The taxonomic annotation of CAGs (Gene number ≥ 100). Table S13. The details of the best markers selected for five monitoring and classification models based on five kinds of bio-markers. Table S14. The 210 differentially abundant sequenced reference genome markers used for classification training. (XLSX 870 kb)

Table S1. Phenotype information of AS patient individuals and health controls in discovery stage (156 samples) and validation stage (55 samples). Table S2. Data production and quality control of 156 samples in discovery stage and 55 samples in validation stage. Table S3. The 8743 reference genomes from NCBI and HMP (downloaded on 15 Dec 2013). Table S4. The differentially abundant genus in AS patients (n = 73) and healthy controls (n = 83). Table S5. Assembly result of 156 samples in discovery stage. Table S6. The improvement with the repeatedly assembly. Table S7. Gene prediction of 156 samples in discovery stage. Table S8. Genes with abundance which belong to proteasome modules. All the differentially abundant genes identified in this study only belong to bacterial proteasome. Table S9. The taxonomic annotation of MGSs. Table S10. The phenotypic correlation analysis (p value) of 12 MGSs according to different clinical groups. Table S11. Comparison of the MGS in different diseases. Table S12. The taxonomic annotation of CAGs (Gene number ≥ 100). Table S13. The details of the best markers selected for five monitoring and classification models based on five kinds of bio-markers. Table S14. The 210 differentially abundant sequenced reference genome markers used for classification training. (XLSX 870 kb)

Here we present the sequenced genome of the Florida carpenter ant (Camponotus floridanus), a species with an organized caste society. As an eusocial species, its genome offers interesting insights into aging, epigenetics and animal behavior.The Illumina Genome Analyzer platform was used to sequence a genomic library of the Florida carpenter ant, obtaining more than 100-fold coverage. The draft genomic assembly reached a scaffold N50 size of ~600 Kb and covers more than 90% of the approximately 240 Mb genome.

Here we present genomic data for the domestic cucumber (Cucumis sativus var. sativus L.). The cucumber is a member of the Cucurbitaceae or cucurbit family, a family of great agricultural and horticultural importance that also includes species such as melons, gourds and squashes. A biologically interesting as well as an economically relevant species, it is used as a model system for plant sex determination and vascular biology studies.The domestic cucumber has seven pairs of chromosomes and a haploid genome of 367 Mb, a smaller genome for the Cucurbitaceae family. The genome was sequenced and assembled with N50 contig and scaffold sizes of 19.8 Kb and 1.14 Mb, respectively. Using the genetic map, 72.8% of the assembled sequences were anchored onto the 7 chromosomes. A total of 26,682 genes were predicted in the current cucumber genome.

Presented here is the sequenced genome of Jerdons jumping ant (Harpegnathos saltator). The jumping ant has a distinct caste and social behavior system, and its genome offers interesting insights into epigenetics in aging and behavior.The Illumina Genome Analyzer platform was used to sequence a genomic library, obtaining more than 100-fold coverage of the estimated 330 Mb genome. The draft genomic assembly reached a scaffold N50 size of ~600 kb and covers more than 90% of the ants genome.

The giant panda (Ailuropoda melanoleuca) is considered a symbol of China and is a much loved animal all around the world. It is also one of the worlds most endangered species, making it a flagship species for conservation efforts. As the first fully sequenced Ursidae and the second fully sequenced carnivore after the dog, the whole genome sequence and annotation data provide an unparalleled amount of information to aid in understanding the genetic and biological underpinnings of this unique species, and will help contribute to disease control and conservation efforts.In 2008, BGI completed a first draft of the genome sequence of a three-year old female giant panda named Jingjing, who was used as a model for the 2008 Olympics in Beijing, China (doi: 10.1038/nature08696). Using second-generation Illumina GA sequencing data, the first de novo genome assembly was created using short-read sequencing technology. Here you will find the giant panda genome sequence assembly as well as annotation information, such as gene structure and function, non-coding RNAs, and repeat elements. Also presented are polymorphism information detected in the diploid genome, including SNPs, indels, and structural variations (SVs). The assembly was done using SOAPdenovo software and the panda genome data is visualized via MapView, which is powered by the Google Web Toolkit.