{"status":"OK","data":{"id":21437,"identifier":"BDS4L","persistentUrl":"https://hdl.handle.net/1902.6/BDS4L","protocol":"hdl","authority":"1902.6","separator":"/","publisher":"Harvard Dataverse","publicationDate":"2011-12-13","storageIdentifier":"file://1902.6/BDS4L","effectiveDatasetFileCountLimit":100000,"datasetFileUploadsAvailable":99999,"datasetType":"dataset","locks":[],"latestVersion":{"id":17437,"datasetId":21437,"datasetPersistentId":"hdl:1902.6/BDS4L","datasetType":"dataset","storageIdentifier":"file://1902.6/BDS4L","versionNumber":1,"internalVersionNumber":1,"versionMinorNumber":0,"versionState":"RELEASED","latestVersionPublishingState":"RELEASED","deaccessionLink":"","productionDate":"2003","lastUpdateTime":"2011-12-13T17:31:57Z","releaseTime":"2011-12-13T00:00:00Z","createTime":"2011-02-20T12:34:33Z","publicationDate":"2011-12-13","citationDate":"2011-12-13","effectiveDatasetFileCountLimit":100000,"datasetFileUploadsAvailable":99999,"termsOfUse":"This dataset is made available with limited information on how it can be used. You may wish to communicate with the Contact(s) specified before use.","specialPermissions":"Available only to Harvard University affiliates. Affiliates are limited to current faculty, staff and students.","restrictions":"No part of this data product is allowed to be reproduced or re-distributed to any other parties without permission.","fileAccessRequest":false,"metadataBlocks":{"citation":{"displayName":"Citation Metadata","name":"citation","fields":[{"typeName":"title","multiple":false,"typeClass":"primitive","value":"China county boundary with 2000 population Census data from 100% Short Form data (Part D: Tables A3 to A6)"},{"typeName":"author","multiple":true,"typeClass":"compound","value":[{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Beijing Hua tong ren shi chang xin xi you xian ze ren gong si"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"University of Michigan. China Data Center"}}]},{"typeName":"datasetContact","multiple":true,"typeClass":"compound","value":[{"datasetContactEmail":{"typeName":"datasetContactEmail","multiple":false,"typeClass":"primitive","value":"N/A"}}]},{"typeName":"dsDescription","multiple":true,"typeClass":"compound","value":[{"dsDescriptionValue":{"typeName":"dsDescriptionValue","multiple":false,"typeClass":"primitive","value":"This polygon datalayer includes China county boundary with 2000 population Census data from 100% Short Form data. This layer is one (Part D) of five layers (see also Parts A, B, C, and E) covering the entire Short Form data; this layer covers Short Form tables A3-2 to A3-3; A5-2 to A5-6; A6-1 to A6-3: A3-2 Index of age composition by region (I); A3-3 Index of age composition by region (II); A5-2 Family households with only one member by age and sex and by region; A5-3 Family households with one or more than one nationalities by region; A5-4 Family households with persons aged 0-19 by region; A5-5 Family households with persons aged 60 and over by region; A5-6 Family households with persons aged 65 and over by region; A6-1 Deaths by sex, age and region (1999.11.1-2000.10.31); A6-2 Deaths aged 6 and over by sex, education attainment and by region (1999.11.1-2000.10.31); A6-3 Deaths aged 15 and over by sex, marital status and by region (1999.11.1-2000.10.31). This datalayer is part of the China 2000 county population census data set produced by the All China Marketing Research Co. and distributed by the University of Michigan, China Data Center (2003). The new version (III) of 2000 county data include 2000 county boundary GIS map and several other GIS maps, integrate\nd with more than 1,900 variables from 2000 population census data for counties and urban districts. Source scale: 1:1,000,000."}}]},{"typeName":"topicClassification","multiple":true,"typeClass":"compound","value":[{"topicClassValue":{"typeName":"topicClassValue","multiple":false,"typeClass":"primitive","value":"Census"},"topicClassVocab":{"typeName":"topicClassVocab","multiple":false,"typeClass":"primitive","value":"LCSH"}},{"topicClassValue":{"typeName":"topicClassValue","multiple":false,"typeClass":"primitive","value":"Demography"},"topicClassVocab":{"typeName":"topicClassVocab","multiple":false,"typeClass":"primitive","value":"LCSH"}},{"topicClassValue":{"typeName":"topicClassValue","multiple":false,"typeClass":"primitive","value":"Population Statistics"},"topicClassVocab":{"typeName":"topicClassVocab","multiple":false,"typeClass":"primitive","value":"LCSH"}},{"topicClassValue":{"typeName":"topicClassValue","multiple":false,"typeClass":"primitive","value":"Vital statistics"},"topicClassVocab":{"typeName":"topicClassVocab","multiple":false,"typeClass":"primitive","value":"LCSH"}},{"topicClassValue":{"typeName":"topicClassValue","multiple":false,"typeClass":"primitive","value":"Education Statistics"},"topicClassVocab":{"typeName":"topicClassVocab","multiple":false,"typeClass":"primitive","value":"LCSH"}},{"topicClassValue":{"typeName":"topicClassValue","multiple":false,"typeClass":"primitive","value":"Housing Statistics"},"topicClassVocab":{"typeName":"topicClassVocab","multiple":false,"typeClass":"primitive","value":"LCSH"}},{"topicClassValue":{"typeName":"topicClassValue","multiple":false,"typeClass":"primitive","value":"Age distribution (Demography)"},"topicClassVocab":{"typeName":"topicClassVocab","multiple":false,"typeClass":"primitive","value":"LCSH"}},{"topicClassValue":{"typeName":"topicClassValue","multiple":false,"typeClass":"primitive","value":"Sex Statistics"},"topicClassVocab":{"typeName":"topicClassVocab","multiple":false,"typeClass":"primitive","value":"LCSH"}},{"topicClassValue":{"typeName":"topicClassValue","multiple":false,"typeClass":"primitive","value":"Marital status Statistics"},"topicClassVocab":{"typeName":"topicClassVocab","multiple":false,"typeClass":"primitive","value":"LCSH"}},{"topicClassValue":{"typeName":"topicClassValue","multiple":false,"typeClass":"primitive","value":"Households"},"topicClassVocab":{"typeName":"topicClassVocab","multiple":false,"typeClass":"primitive","value":"LCSH"}},{"topicClassValue":{"typeName":"topicClassValue","multiple":false,"typeClass":"primitive","value":"Family"},"topicClassVocab":{"typeName":"topicClassVocab","multiple":false,"typeClass":"primitive","value":"LCSH"}},{"topicClassValue":{"typeName":"topicClassValue","multiple":false,"typeClass":"primitive","value":"Mortality Statistics"},"topicClassVocab":{"typeName":"topicClassVocab","multiple":false,"typeClass":"primitive","value":"LCSH"}},{"topicClassValue":{"typeName":"topicClassValue","multiple":false,"typeClass":"primitive","value":"Counties"},"topicClassVocab":{"typeName":"topicClassVocab","multiple":false,"typeClass":"primitive","value":"LCSH"}},{"topicClassValue":{"typeName":"topicClassValue","multiple":false,"typeClass":"primitive","value":"Administrative and political divisions"},"topicClassVocab":{"typeName":"topicClassVocab","multiple":false,"typeClass":"primitive","value":"LCSH"}},{"topicClassValue":{"typeName":"topicClassValue","multiple":false,"typeClass":"primitive","value":"society"},"topicClassVocab":{"typeName":"topicClassVocab","multiple":false,"typeClass":"primitive","value":"ISO 19115 Topic Category"}},{"topicClassValue":{"typeName":"topicClassValue","multiple":false,"typeClass":"primitive","value":"boundaries"},"topicClassVocab":{"typeName":"topicClassVocab","multiple":false,"typeClass":"primitive","value":"ISO 19115 Topic Category"}}]},{"typeName":"producer","multiple":true,"typeClass":"compound","value":[{"producerName":{"typeName":"producerName","multiple":false,"typeClass":"primitive","value":"China Data Center"}},{"producerName":{"typeName":"producerName","multiple":false,"typeClass":"primitive","value":"Beijing Hua tong ren shi chang xin xi you xian ze ren gong si"}},{"producerName":{"typeName":"producerName","multiple":false,"typeClass":"primitive","value":"University of Michigan. 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A copy of the attribute table was made and opened as an external data source in Microsoft Excel 2002. The original DBF file contained more than the number of columns allowed by SDE, so SQL statements were used to select a subset of fewer than 250 columns. This subset of columns was written out to a new DBF file. The original shape file was opened in ArcMap and edited to remove all of the census demographic variables. The new, smaller DBF file was joined to the existing shapes using the GB_CNTY (County ID code) as a primary key. The resulting file was exported to a new shape file. The new shape file was loaded into SDE using the shp2sde command."}]}},"files":[{"description":"","label":"SHAPE","restricted":false,"version":1,"datasetVersionId":17437,"dataFile":{"id":2331878,"persistentId":"","filename":"SHAPE","contentType":"application/octet-stream","friendlyType":"Unknown","filesize":0,"description":"","storageIdentifier":"http://hgl.harvard.edu:8080/HGL/jsp/HGL.jsp?action=VColl&VCollName=CH2000_A_D","rootDataFileId":-1,"md5":"","checksum":{"type":"MD5","value":""},"tabularData":false,"creationDate":"2015-04-08","publicationDate":"2011-12-12","lastUpdateTime":"2011-12-13T17:31:57Z","fileAccessRequest":false}}]}}}