{
    "created": "2021-11-02 19:28:19",
    "updated": "2026-05-01 14:03:06",
    "id": "7e01e80e-3b38-4c7d-bcec-cf2a3c111815",
    "version": 5,
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    "title_cn": "基于全国第二次土壤普查的甘肃土种志数据集",
    "title_en": "Data set of Gansu soil flora based on the second national soil survey",
    "ds_abstract": "<p>本数据集是基于1992年甘肃科学技术出版社出版的《甘肃土种志》整理加工而成。甘肃土种志数据集根据所包含的内容以及为便于开发为线上查询，确立土种ID为主键，设计为8个SHEET。分别为甘肃-土壤分类、甘肃-主要土壤类型分布及特征简介、甘肃-土种基本信息、甘肃-土种典型剖面景观信息、甘肃-典型剖面发生层信息、甘肃-典型剖面理化性质、甘肃-土种统计剖面理化性质信息和附甘肃省地貌特征，这些数据信息主要为阐述305个甘肃土壤的系统分类，土种的基本特征信息、地理分布以及典型剖面采集地信息、典型剖面发生层特征和剖面土壤理化性质等等。可被广泛用于区域土地质量评估、环境效应研究、土壤碳储量研究等，为合理利用土壤资源提供极具意义的科学支撑。</p>",
    "ds_source": "<p>&emsp;&emsp;本数据集的数据源为《甘肃土种志》，是甘肃科学技术出版社1992年出版，它系统整理了全省各地(州、市)和县级有关879个土种资料基础上，梳理归纳出37个土类、100个亚类、171个土属和305个土种编写而成，是甘肃省全国第二次土壤普查的系列成果之一。书中介绍了甘肃主要土种在土壤分类系统中的名称、归属、分布、面积、主要性状，典型剖面、生产性能综述及土种的理化分析数据等。在编写过程中，由于部分土种资料尚嫌欠缺，故写成文字的仅285个，其中4个经复查审核数据仍然不全而附录于后。甘肃土种志的建立为甘肃土壤分类的系统化、标准化、数量化积累资料，为发展甘肃土壤科学奠定扎实基础。</p>\n<p>&emsp;&emsp;本数据集基于《甘肃土种志》，对书中285个土种的所有原始数据和信息进行了规范化、结构化和数字化的采集及提取，经过整理和加工，集成为8个专业主题数据表，包括土种的土壤分类及归属分布、主要土壤类型分布及特征、土种基本信息及分布、典型剖面采样地及发生层信息、典型剖面及土种剖面统计理化性质等数据，各数据表之间以土种ID为主键，方便开发为线上检索查询模式。本数据集可被广泛用于区域土地质量评估、环境效应研究、土壤碳储量研究等，为推广农业新技术和合理利用土壤资源提供极具意义的科学支撑。</p>",
    "ds_process_way": "<p>&emsp;&emsp;甘肃土种志数据采集的步骤为：（1）购买正式出版的纸质《甘肃土种志》书籍；（2）数据电子信息化，进行书籍逐页扫描和图像处理，生成PDF版《甘肃土种志》电子书，利用网络文字识别技术，对书中文字及数字等内容进行识别生成可编辑的文本；（3）在充分阅读理解专著内容基础上，依据专业背景及逻辑，设计能包含并完整表达土种信息以及相关内容的字段名和数据表结构，建立数据表关联主键；（4）将识别并校对好的信息内容录入设计好的相应单元格中，最终生成以土种ID为主键方便开发为线上检索查询的数据表集合。（5）数据录入后，逐一进行核对校正，编写了数据集说明文档。</p>",
    "ds_quality": "<p>&emsp;&emsp;基于对《甘肃土种志》的通读和充分理解的基础上，依据土壤学科的数据逻辑，设计提取数据的字段名、数据表结构。数据录入后，三次逐一进行核对校正，最后人工抽查基本无误，保证数据纸质版与电子版的完整性和一致性。在进行数据提取过程中，重新复核各数据字段、单位和数值，并依据法定计量单位规范对纸质版电子化后的数据单位进行了校正；对县市名进行了修正。集成为有内在逻辑关联的数据表，同时编写数据集说明文档。</p>",
    "ds_acq_start_time": "2020-07-01 00:00:00",
    "ds_acq_end_time": "2021-10-31 00:00:00",
    "ds_acq_place": "甘肃省",
    "ds_acq_lon_east": 108.76666666666667,
    "ds_acq_lat_south": 32.166666666666664,
    "ds_acq_lon_west": 92.21666666666667,
    "ds_acq_lat_north": 42.95,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "apply-access",
    "ds_total_size": 688107,
    "ds_files_count": 2,
    "ds_format": "Excel",
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    "ds_time_res": "",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "7e01e80e-3b38-4c7d-bcec-cf2a3c111815.jpg",
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    "ds_ref_way": "",
    "paper_ref_way": "",
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    "ds_from_station": null,
    "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a",
    "ds_serv_man": "敏玉芳",
    "ds_serv_phone": "0931-4967596",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.45"
    ],
    "quality_level": 3,
    "publish_time": "2021-11-05 17:46:16",
    "last_updated": "2024-09-25 08:59:37",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.NIEER.2021.1975",
    "i18n": {
        "en": {
            "title": "Data set of Gansu soil flora based on the second national soil survey",
            "ds_format": "",
            "ds_source": "<pre><code>                     &lt;pre&gt;&lt;code&gt;\n</code></pre>\n<p></code></pre></p>\n<p>&emsp;The data source of this data set is Gansu soil species annals, which was published by Gansu science and Technology Press in 1992. Based on systematically sorting out the data of 879 soil species at the provincial (prefecture, city) and county levels, this data set is compiled by combing and summarizing 37 soil categories, 100 subcategories, 171 soil genera and 305 soil species. It is one of the series achievements of the second national soil survey in Gansu Province. The book introduces the name, attribution, distribution, area, main properties, typical profile, production performance summary and physical and chemical analysis data of main soil species in Gansu in the soil classification system. In the process of compiling, because some soil species data are still insufficient, there are only 285 written words, of which 4 are still incomplete after review, and the appendix is attached. The establishment of Gansu soil chronicles accumulates data for the systematization, standardization and quantification of Gansu soil classification, and lays a solid foundation for the development of Gansu soil science</ p>\n<p>&emsp;& emsp; Based on Gansu soil species annals, this data set collects and extracts all the original data and information of 285 soil species in the book in a standardized, structured and digital manner. After sorting and processing, it is integrated into 8 professional subject data tables, including soil classification and attribution distribution of soil species, distribution and characteristics of main soil types, basic information and distribution of soil species Typical profile sampling site and occurrence layer information, typical profile and soil type profile statistical physical and chemical properties and other data. The soil type ID is the primary key between each data table, which is convenient for development as an online retrieval and query mode. This data set can be widely used in regional land quality assessment, environmental effect research, soil carbon storage research, etc., and provide significant scientific support for the promotion of new agricultural technologies and the rational utilization of soil resources</ p>",
            "ds_quality": "<pre><code>                         &lt;pre&gt;&lt;code&gt;\n</code></pre>\n<p></code></pre></p>\n<p>&emsp; Based on the full reading and understanding of Gansu soil records, the field name and data table structure of extracted data are designed according to the data logic of soil discipline. After data entry, check and correct the data one by one for three times, and finally conduct manual spot check to ensure the integrity and consistency of the paper version and electronic version of the data. In the process of data extraction, recheck each data field, unit and value, and correct the electronic data unit of the paper version according to the specification of the legal unit of measurement; The names of counties and cities were amended. Integrate into data tables with internal logical associations, and write data set description documents at the same time</ p>",
            "ds_ref_way": "",
            "ds_abstract": "<pre><code> &lt;pre&gt;&lt;code&gt;\n</code></pre>\n<p>  This data set is based on Gansu soil records published by Gansu science and Technology Press in 1992. According to the contents contained in the data set of Gansu soil records and for the convenience of online query, the soil ID is established as the primary key and designed as 8 sheets. They are Gansu soil classification, distribution and characteristics of main soil types in Gansu, basic information of soil species in Gansu, landscape information of typical profile of soil species in Gansu, occurrence layer information of typical profile in Gansu, physical and chemical properties of typical profile in Gansu, physical and chemical properties information of statistical profile of soil species in Gansu and geomorphic characteristics of Gansu Province, These data mainly describe the systematic classification of 305 soils in Gansu, the basic characteristic information of soil species, geographical distribution, the collection site information of typical profiles, the occurrence layer characteristics of typical profiles and the physical and chemical properties of profile soils, etc. It can be widely used in regional land quality assessment, environmental effect research and soil carbon storage research, so as to provide meaningful scientific support for the rational use of soil resources</p>",
            "ds_time_res": "",
            "ds_acq_place": "Gansu Province",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<pre><code>                     &lt;pre&gt;&lt;code&gt;                                                                                                                         &amp;lt;p&amp;gt;&amp;amp;emsp; The steps of data collection of Gansu local chronicles are as follows: (1) purchase the officially published paper books of Gansu local chronicles; (2) Data electronic informatization, page by page scanning and image processing of books, generating PDF e-books of Gansu local chronicles, and using network character recognition technology to identify the text and numbers in the book and generate editable text; (3) On the basis of fully reading and understanding the contents of the monograph, according to the professional background and logic, design the field name and data table structure that can contain and completely express the soil species information and related contents, and establish the associated primary key of the data table; (4) Input the identified and proofread information content into the designed corresponding cells, and finally generate a data table set with soil type ID as the primary key to facilitate the development of online retrieval and query. (5) After data entry, check and correct one by one, and prepare the data set description document&amp;lt;/ p&amp;gt;\n</code></pre>\n<p></code></pre></p>",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC 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": [
        "土种",
        "全国第二次土壤普查",
        "甘肃省"
    ],
    "ds_subject_tags": [
        "地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "甘肃省"
    ],
    "ds_time_tags": [
        1992
    ],
    "ds_contributors": [
        {
            "true_name": "高美荣",
            "email": "gmr@imde.ac.cn",
            "work_for": "中国科学院、水利部成都山地灾害与环境研究所",
            "country": "中国"
        },
        {
            "true_name": "康建芳",
            "email": "kangjf@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        },
        {
            "true_name": "张耀南",
            "email": "yaonan@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "高美荣",
            "email": "gmr@imde.ac.cn",
            "work_for": "中国科学院、水利部成都山地灾害与环境研究所",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "敏玉芳",
            "email": "myf@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        }
    ],
    "category": "其他"
}