{ "created": "2026-10-09 19:53:04", "updated": "2026-10-12 03:15:12", "id": "98942754-4936-4a1a-90cb-e243900e8e56", "version": 2, "ds_topic": null, "title_cn": "中国丹江口水库浮游微生物群落月分辨率的 16S 和 18S rRNA 测序数据集（2023–2024）", "title_en": "A monthly resolved 16S and 18S rRNA sequencing dataset of planktonic microbial communities from Danjiangkou Reservoir, China (2023–2024)", "ds_abstract": "

微生物群落是淡水生态系统的重要组成部分，在生物地球化学循环、有机质转化以及水质调控过程中发挥重要作用。然而，大型淡水水库中长期、高时间分辨率的微生物群落数据集仍然较为缺乏。丹江口水库是中国重要的淡水水库，也是南水北调中线工程的重要水源地，建立系统性的微生物数据资源对于生态监测和水资源管理具有重要意义。本研究构建了一个覆盖2023—2024年的丹江口水库月尺度微生物群落数据集。研究期间，在水库5个代表性采样点开展逐月表层水样采集，并利用针对16S核糖体RNA基因和18S核糖体RNA基因的高通量测序技术，对细菌和真核微生物群落进行表征。该数据集包括原始测序数据、扩增子序列变异（ASV）丰度矩阵、以及分类注释文件。通过序列质量过滤、低质量序列去除以及分类注释质量评估等质量控制流程，确保了数据集的可靠性和可利用性。该数据集可为微生物多样性评价、淡水生态系统监测、水库微生物群落比较研究提供综合数据资源，并促进微生物数据在更广泛生态和环境研究中的整合与再利用。

", "ds_source": "", "ds_process_way": "", "ds_quality": "", "ds_acq_start_time": null, "ds_acq_end_time": null, "ds_acq_place": "", "ds_acq_lon_east": 111.82, "ds_acq_lat_south": 32.45, "ds_acq_lon_west": 110.9, "ds_acq_lat_north": 33.269999999999996, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 1101042126, "ds_files_count": 245, "ds_format": "", "ds_space_res": "", "ds_time_res": "月尺度", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "863dd434-f429-42fd-913a-4a23076bc3a8.jpg", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "None", "ds_from_station": null, "organization_id": null, "ds_serv_man": null, "ds_serv_phone": null, "ds_serv_mail": null, "doi_value": "", "subject_codes": [ "170.5540" ], "quality_level": 0, "publish_time": "2026-10-12 09:51:40", "last_updated": "2026-10-12 09:52:23", "protected": false, "protected_to": "2027-10-04 00:00:00", "lang": "zh", "cstr": "11738.11.ncdc.db7826.2026", "i18n": { "en": { "title": "A monthly resolved 16S and 18S rRNA sequencing dataset of planktonic microbial communities from Danjiangkou Reservoir, China (2023–2024)", "ds_format": "", "ds_source": "", "ds_quality": "", "ds_ref_way": "", "ds_abstract": "Microbial communities are an important part of freshwater ecosystems and play an important role in biogeochemical cycles, organic matter transformation, and water quality regulation. However, medium-and long-term, high-temporal resolution microbial community data sets in large freshwater reservoirs are still lacking. Danjiangkou Reservoir is an important freshwater reservoir in China and an important water source for the Middle Route of the South-to-North Water Diversion Project. Establishing systematic microbial data resources is of great significance for ecological monitoring and water resources management. This study constructed a month-scale microbial community dataset covering 2023-2024 in Danjiangkou Reservoir. During the study, monthly surface water samples were collected at 5 representative sampling points in the reservoir, and high-throughput sequencing technology for 16S ribosomal RNA genes and 18S ribosomal RNA genes was used to characterize bacterial and eukaryotic microbial communities. The dataset includes raw sequencing data, amplicon sequence variation (ASV) abundance matrix, and classification annotation files. Quality control procedures, including sequence quality filtering, removal of low-quality reads, and taxonomic annotation assessment, were performed to ensure the reliability and usability of the dataset. This dataset provides a comprehensive resource for assessing microbial biodiversity, supporting freshwater ecosystem monitoring, facilitating comparative studies of reservoir microbial communities, and promoting the integration and reuse of microbial data in broader ecological and environmental research.", "ds_time_res": "Monthly", "ds_acq_place": "", "ds_space_res": "", "ds_projection": "", "ds_process_way": "", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "belong_to_nieer": false, "allow_update_data": false, "created_from": "uc", "ds_topic_tags": [ "微生物多样性", "水生态系统" ], "ds_subject_tags": [ "湖沼学" ], "ds_class_tags": [], "ds_locus_tags": [ "丹江口水库" ], "ds_time_tags": [ 2023, 2024 ], "ds_contributors": [ { "true_name": "吕绪聪", "email": "lvxvcong@outlook.com", "work_for": "河南师范大学", "country": "中国" }, { "true_name": "袁华涛", "email": "htyuan1611@163.com", "work_for": "河南师范大学", "country": "中国" }, { "true_name": "董静", "email": "happydj111@163.com", "work_for": "河南师范大学", "country": "中国" }, { "true_name": "高肖飞", "email": "gaoxiaofei@htu.edu.cn", "work_for": "河南师范大学", "country": "中国" }, { "true_name": "张景晓", "email": "zhangjingxiao@htu.edu.cn", "work_for": "河南师范大学", "country": "中国" }, { "true_name": "朱朋辉", "email": "penghuizhu@yeah.net", "work_for": "河南师范大学", "country": "中国" }, { "true_name": "高云霓", "email": "gaoyn@htu.cn", "work_for": "河南师范大学", "country": "中国" }, { "true_name": "李学军", "email": "xjli@htu.cn", "work_for": "河南师范大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "吕绪聪", "email": "lvxvcong@outlook.com", "work_for": "河南师范大学", "country": "中国" }, { "true_name": "袁华涛", "email": "htyuan1611@163.com", "work_for": "河南师范大学", "country": "中国" }, { "true_name": "董静", "email": "happydj111@163.com", "work_for": "河南师范大学", "country": "中国" }, { "true_name": "高肖飞", "email": "gaoxiaofei@htu.edu.cn", "work_for": "河南师范大学", "country": "中国" }, { "true_name": "张景晓", "email": "zhangjingxiao@htu.edu.cn", "work_for": "河南师范大学", "country": "中国" }, { "true_name": "朱朋辉", "email": "penghuizhu@yeah.net", "work_for": "河南师范大学", "country": "中国" }, { "true_name": "高云霓", "email": "gaoyn@htu.cn", "work_for": "河南师范大学", "country": "中国" }, { "true_name": "李学军", "email": "xjli@htu.cn", "work_for": "河南师范大学", "country": "中国" } ], "ds_managers": [ { "true_name": "李学军", "email": "xjli@htu.cn", "work_for": "河南师范大学", "country": "中国" }, { "true_name": "高云霓", "email": "gaoyn@htu.cn", "work_for": "河南师范大学", "country": "中国" } ], "category": "生态" }