1 to 10 of 8,678 Results
Jun 10, 2022 - China - Modern Dataverse
G. W. Skinner; Mark Henderson, 2012, "China-A Dataset, County-Level Units 1990", https://doi.org/10.7910/DVN/BW68TU, Harvard Dataverse, V5, UNF:5:Pdx5uRcz7IuT0e8n6nelng== [fileUNF]
The ChinaA Datasets combine the raw geographical units and the essential county-level unit variables used for Skinner's 1990 China Regional Systems analysis. ChinaA MQ Dataset is composed of the ChinaA MQ (Merged Qu) geographic units that have been joined to tabular data compiled from the 1990 Census variables. ChinaA AVARS Dataset containst the an... |
Dec 19, 2020 - Japan Dataverse
Lex Berman, 2020, "G. W. Skinner Regional Systems Analysis", https://doi.org/10.7910/DVN/KXXT5O, Harvard Dataverse, V1
slides prepared for the festschrift on Skinner's work, organized by Stevan Harrell and William Lavely, held at the HK University of Science and Technology (June 2018). |
Jul 28, 2020 - BGIS Buddhism Geographical Information System (2006)
Wu, Jiang, 2020, "BGIS (2006) tabular and GIS datasets", https://doi.org/10.7910/DVN/VAYEUZ, Harvard Dataverse, V1
There are 34 columns: ID number, 寺庙单位名称, name, 寺庙类型, feature type, 地址(省、直辖市), province, 直辖市区或者地级市, city, 县名, county, 乡、镇 名, town, 村名, village, 街、道、路名, street name, 胡同或者小区名, district, 2 类小区, smaller district, 建筑物名或者山名, mountain and building, 岭、小山, hill, 其他更小标示, detailed landmark, Postal Code, Latitude, Longitude, Source, Starting year, Ending year,... |
Jul 28, 2020CHGIS Version 5 Dataverse
BGIS (Buddhism Geographical Information System Project) was led by Jiang Wu at Department of East Asian Studies, the University of Arizona. Funding for the preparation of this dataset has been provided by the Henry Luce Foundation through a grant to Electronic Cultural Atlas Initiatives (ECAI) at University of California, Berkeley. The source data... |
Jun 17, 2020 - Harvard CGA Geotweet Archive
Lewis, Benjamin, 2020, "Preliminary Extraction from Geotweet Archive v2.0 for COVID-19 Tweets", https://doi.org/10.7910/DVN/2TOFZS, Harvard Dataverse, V3, UNF:6:xJkff8zy9RNf3nq0eQTPkQ== [fileUNF]
These datasets present preliminary extractions from the Geotweet Archive. See dataset for particular SQL used in extraction. As per Twitter's terms of service the data consists of Tweet IDs only which may be turned back into full tweets using the Twitter API. To make this process easier we provide a "rehydration" tool here https://github.com/cga-ha... |
May 4, 2020 - Harvard CGA Geotweet Archive
Lewis, Benjamin; Kakkar, Devika, 2016, "Harvard CGA Geotweet Archive v2.0", https://doi.org/10.7910/DVN/3NCMB6, Harvard Dataverse, V2
Geotweet Archive v2.0 The Harvard Center for Geographic Analysis (CGA) maintains the Geotweet Archive, a global record of tweets spanning time, geography, and language. The primary purpose of the Archive is to make a comprehensive collection of geo-located tweets available to the academic research community. The Archive extends from 2010 to July 12... |
Feb 21, 2019 - CHGIS Dataverse
Berman, Lex, 2019, "TGAZ (Temporal Gazetteer)", https://doi.org/10.7910/DVN/H3OB28, Harvard Dataverse, V1
The Temporal Gazetteer is a database of Chinese, Russian and Tibetan Historical Placenames, made available as an online search engine and machine-readable API webservice. Developed by Merrick Lex Berman and William Hays. |
Feb 14, 2019 - CHGIS Version 5 Dataverse
CHGIS, 2015, "CHGIS V5 DEM (Digital Elevation Model)", https://doi.org/10.7910/DVN/E1FHML, Harvard Dataverse, V8
For more information about this data please see: http://www.fas.harvard.edu/~chgis/ |
Jan 24, 2019 - Harvard CGA Geotweet Archive
Lewis, Benjamin, 2019, "Harvard CGA Geotweet Archive - known bots", https://doi.org/10.7910/DVN/7OTPCI, Harvard Dataverse, V1
These bots appear to be randomly distributed spatially. These are bots discovered as of 1/15/2018. Many of these include a number that looks like a hash. There are likely to be more. Some of these and other bots may have valuable uses depending on one's perspective. This list does not include sensors as far as we know. googuns_lulz googuns_staging... |
Dec 10, 2018 - ChinaMap
Meng, Fei, 2018, "Net Migration by Provinces in China (2010)", https://doi.org/10.7910/DVN/IHUULJ, Harvard Dataverse, V1
Net Migration (absolute value) per Province, and Bi-Directional Net Migration (absolute value) Between Provinces using the 2010 Census. Analysis and map by Fei Carnes. Webmap version of this data: http://worldmap.harvard.edu/maps/chinamap/coW See also the dynamic China Migration web map application for 1995, 2000, 2005, 2010 by Giovanni Zambotti. h... |