{
    "created": "2024-04-25 10:36:40",
    "updated": "2026-05-09 18:01:55",
    "id": "20503c2a-de97-486f-8aa0-b7860658604a",
    "version": 9,
    "ds_topic": null,
    "title_cn": "黄河河南段浮游动物数据集（2021年）",
    "title_en": "Zooplankton data set in the Henan section of the Yellow River(2021)",
    "ds_abstract": "<p>&emsp;&emsp;本数据集共调查浮游动物47种，隶属于3门4纲8目12科31属。数据集包含采样位点、经度、纬度、中文门名、中文纲名、中文目名、中文科名、中文属名、中文名，拉丁名，丰度、生物量12个字段，共161条数据。黄河河南段浮游动物数据集可以为黄河水生态健康保护和评价染提供科学依据。\n<p>&emsp;&emsp;数据集Excel文件共包含1个Sheet，10个字段包括采样位点、经度、纬度、中文门名、中文纲名、中文目名、中文科名、中文属名、中文名，拉丁名，丰度、生物量。共161条数据。",
    "ds_source": "<p>&emsp;&emsp;本数据集所有原始数据均为室外采集获得，使用浮游动物生物网采集样点附近浮游动物样品。样品带回实验室浓缩，再将浓缩样品充分摇晃均匀后，吸入浮游动物生物计数框，在显微镜下将浮游动物鉴定至属或种分类水平，优势种类鉴定到种，其它种类至少鉴定到属。",
    "ds_process_way": "<p>&emsp;&emsp;本数据集所有数据均通过Excel分析计算,浮游动物鉴定依照淡水浮游动物图集鉴定。",
    "ds_quality": "<p>&emsp;&emsp;样品采样严格按照规范进行，每个样点采集按照SC/T 9402-2010的规定执行，以确保数据准确性。",
    "ds_acq_start_time": "2021-01-01 00:00:00",
    "ds_acq_end_time": "2021-12-31 00:00:00",
    "ds_acq_place": "黄河河南段",
    "ds_acq_lon_east": 113.68,
    "ds_acq_lat_south": 34.526666666666664,
    "ds_acq_lon_west": 112.02805555555555,
    "ds_acq_lat_north": 35.16638888888889,
    "ds_acq_alt_low": 165.0,
    "ds_acq_alt_high": 2413.0,
    "ds_share_type": "apply-access",
    "ds_total_size": 23817,
    "ds_files_count": 2,
    "ds_format": "excel",
    "ds_space_res": null,
    "ds_time_res": "年",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "20503c2a-de97-486f-8aa0-b7860658604a.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "dc4052f6-7bfc-4e5f-b818-fa2cff10e3a0",
    "ds_serv_man": "敏玉芳",
    "ds_serv_phone": "0931-4967596",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.5540"
    ],
    "quality_level": 3,
    "publish_time": "2024-04-26 14:39:29",
    "last_updated": "2024-05-31 14:57:25",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.NCDC.WATER-ECO.DB6414.2024",
    "i18n": {
        "en": {
            "title": "Zooplankton data set in the Henan section of the Yellow River(2021)",
            "ds_format": "",
            "ds_source": "<p>All the original data in this dataset were collected outdoors, and zooplankton samples near the sample points were collected using zooplankton bionets. The samples were brought back to the laboratory to concentrate, and then the concentrated samples were fully shaken and uniform, inhaled the zooplankton biological counting box, and identified to the genus or species classification level under the microscope, the dominant species was identified to the species, and the other species was identified to the genus at least.</p>",
            "ds_quality": "<p>Sample sampling was carried out in strict accordance with the specifications, and each sample point was collected in accordance with the provisions of SC/T 9402-2010 to ensure data accuracy.</p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>A total of 47 species of zooplankton were investigated in this dataset, belonging to 3 phyla, 4 classes, 8 orders, 12 families and 31 genera. The dataset contains 161 data in 10 fields including sampling site,longitude,latitude,Chinese gate name, Chinese class name, Chinese head name, Chinese language name, Chinese genus name, Chinese name, Latin name, abundance and biomass. The zooplankton data set in the southern section of the Yellow River can provide scientific basis for the water ecological health protection and evaluation of the Yellow River.\nThe Excel file of the dataset contains a Sheet with 10 fields, including loci, longitude,latitude,Chinese phylum name, Chinese class name, Chinese head name, Chinese language name, Chinese genus name, Chinese name, Latin name, abundance and biomass. Total 161 pieces of data.</p>",
            "ds_time_res": "年",
            "ds_acq_place": "The Henan section of the Yellow River",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>All data in this dataset were calculated by Excel analysis, and zooplankton identification was based on freshwater zooplankton atlas.</p>",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 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,
    "ds_topic_tags": [
        "浮游动物",
        "生物多样性"
    ],
    "ds_subject_tags": [
        "湖沼学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "黄河河南段"
    ],
    "ds_time_tags": [
        2021
    ],
    "ds_contributors": [
        {
            "true_name": "刘谦",
            "email": "2450772182@qq.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": "张曼",
            "email": "zm0378@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": "袁华涛",
            "email": "htyuan1611@163.com",
            "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": "宋东蓥",
            "email": "songdongying@126.com",
            "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": "刘谦",
            "email": "2450772182@qq.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": "张曼",
            "email": "zm0378@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": "袁华涛",
            "email": "htyuan1611@163.com",
            "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": "宋东蓥",
            "email": "songdongying@126.com",
            "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"
        },
        {
            "true_name": "高肖飞",
            "email": "gaoxiaofei@htu.edu.cn",
            "work_for": "河南师范大学",
            "country": "中国"
        }
    ],
    "category": "生态"
}