cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/fkzcib
title: Executive Agreements Database, Background Statement Concerning the Memorandum Of Cooperation Between The United States and Brazil For Mutual Cooperation In The Promotion And Development Of Civil Aviation, with Letter Of Understanding Signed At Washington And Brasilia January 18 And February 9, 2000 Entered Into Force February 9, 2000

description: KAV 6923 cover memo
DOI: 10.7910/dvn/omu2dv
title: A BENCHMARK DATASET FOR MANIPURI MEETEI-MAYEK HANDWRITTEN CHARACTER RECOGNITION

description: A benchmark dataset is always required for any classification or recognition system. To the best of our knowledge, no benchmark dataset exists for handwritten character recognition of Manipuri Meetei-Mayek script in public domain so far. Manipuri, also referred to as Meeteilon or sometimes Meiteilon, is a Sino-Tibetan language and also one of the Eight Scheduled languages of Indian Constitution. It is the official language and lingua franca of the southeastern Himalayan state of Manipur, in northeastern India. This language is also used by a significant number of people as their communicating language over the north-east India, and some parts of Bangladesh and Myanmar. It is the most widely spoken language in Northeast India after Bengali and Assamese languages. In this work, we introduce a handwritten Manipuri Meetei-Mayek character dataset which consists of more than 5000 data samples which were collected from a diverse population group that belongs to different age groups (from 4 years to 60 years), genders, educational backgrounds, occupations, communities from three different districts of Manipur, India (Imphal East District, Thoubal District and Kangpokpi District) during March and April 2019. Each individual was asked to write down all the Manipuri characters on one A4-size paper. The recorded responses are scanned with the help of a scanner and then each character is manually segmented from the scanned images. This dataset consists of segmented scanned images of handwritten Manipuri Meetei-Mayek characters (Mapi Mayek, Lonsum Mayek, Cheitap Mayek, Cheising Mayek, Khutam Mayek) of size 128X128 pixels in .JPG format as well as in .MAT format.
description: Cite this dataset as: Pangambam Singh, "A Benchmark Dataset for Manipuri Meetei-Mayek Handwritten Character Recognition", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/fwax-yr43.
DOI: 10.7910/dvn/tk8hsj
title: Ecorregiones marinas de Venezuela

description: Shapefile de las ecorregiones marinas del Caribe. Modificadas de Miloslavich, P., E. Klein, E. Yerena, and A. Martin. 2003. Marine biodiversity in Venezuela: Status and perspectives. Gayana (Concepción) 67:275–301. Versión modificada publicada en Klein, E. 2008. Prioridades de PDVSA en la conservación de la biodiversidad en el Caribe venezolano. PDVSA, INTECMAR-USB. ISBN 978-980-7062-15-2
DOI: 10.7910/dvn/lxjsnz
title: Characterization of Memory Profile in Idiopathic REM Sleep Behaviour Disorder

description: The dataset containing the results of cognitive tests used in our study
description: Belongs to the study Characterization of Memory Profile in Idiopathic REM Sleep Behaviour Disorder
DOI: 10.7910/dvn/swv9gj
title: Replication Data for: Does Inequality Beget Inequality? Experimental tests of the prediction that inequality increases system justification motivation

description: This dataset contains replication materials for the paper "Does Inequality Beget Inequality" by Kris-Stella Trump and Ariel White.
DOI: 10.7910/dvn/thgv2
title: House Unpassed Legislation 1841, Docket 962, SC1/series 230, Petition of William H. Sanford

description: &lt;p&gt;Petition subject: Against the gag rule &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:10956408"&gt;http://nrs.harvard.edu/urn-3:FHCL:10956408&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: Boylston &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: Eli B. Lamson, Boylston; committee on that subject &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;William H. Sanford&lt;/li&gt;&lt;li&gt;Harriet S. Sanford&lt;/li&gt;&lt;li&gt;Louisa Brigham&lt;/li&gt;&lt;li&gt;Mary White&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1841-01-14 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the House on January 14, 1841 and referred to the committee on that subject &lt;/p&gt; &lt;p&gt;Total signatures: 89 &lt;/p&gt; &lt;p&gt;Legislative action summary: Received, referred &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 33 &lt;/p&gt; &lt;p&gt;Female signatures: 49 &lt;/p&gt; &lt;p&gt;Unidentified signatures: 7 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: inhabitants, [females] &lt;/p&gt; &lt;p&gt;Prayer format was &lt;a href="http://en.wikipedia.org/wiki/Printing"&gt;printed&lt;/a&gt; vs. &lt;a href="http://en.wikipedia.org/wiki/Manuscript"&gt;manuscript&lt;/a&gt;: Printed &lt;/p&gt; &lt;p&gt;Signatory column format: not column separated &lt;/p&gt; &lt;p&gt;Additional non-petition or unrelated documents available at archive: no additional documents &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: House Unpassed 1841, Docket 962 &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt;
DOI: 10.7910/dvn/4b8ddl
title: FACEBRASIL 9 AGO 2011

description: Revista brasileira, Orlando, Florida
DOI: 10.7910/dvn/evljbh
title: The Relationship between Gratitude and Sleep quality of the Elderly in Chinese Communities: A Multiple Mediation Model Test

description: SPSS25.0 software was used for data entry, collation and analysis, and AMOS24.0 software was used for the construction and analysis of the structural equation model. Also, Pearson correlation analysis was used to analyze the correlation between the two variables. The bootstrap method was used to test and verify the mediating effects of depression and loneliness on sleep quality and depression. The maximum likelihood ratio method was used to revise and fit the model, with the test level of α=0.05.
DOI: 10.7910/dvn/tk7mlh
title: Fresh Concrete Curing Research Project - Media Files

description: Fresh Concrete Curing Research Project - Media Files
DOI: 10.7910/dvn/6jypel
title: Historical limpopo groundlevel observed discharge data for the SWAT model validation for Limpopo River Basin

description: The discharge data is collected from the Department of Water and Sanitation (DWS) of the Republic of South Africa. Majority of the stations are located in south africa and some stations available at botswana.The stations are located in the Limpopo and Olifants regions, comprising a total of 45 stations with daily readings. This dataset is raw and lacks quality assurance.
DOI: 10.7910/dvn/6li7u0
title: Replication For: Measuring legislative stability - A new approach with data from Hungary

description: While the stability of legislation is one of the fundamental issues in political theory, comparative and quantitative analysis of the subject is in short supply in the political science literature. In this article we propose a novel measurement scheme for legislative stability, and develop a Legislative Stability Index (LSI) to this end. Our index empirically relies on the number and breadth of adopted legislative amendments within the same electoral cycle. The weighted LSIIt is based on a system of categories concerning the frequency with which laws are amended after their adoption. Our approach makes use of a new law-amendment edge-type network for a new Hungarian legislative database. Amendment-type connections are discovered by an automated dictionary-based text mining method. We tested the applicability of our index in various regression models. Results show that the legislative term of government, the length of the law and the way of adoption was were the most significant variables in explaining variation in the stability of legislation.
DOI: 10.7910/dvn/a4o2cw
title: Replication Data for: Political Trust and American Public Support for Free Trade

description: Contains the Supplemental Appendix, replication data, and Stata do file associated with the paper.
DOI: 10.7910/dvn/ngrgs5
title: Replication Data for: The Structure of American Income Tax Policy Preferences

description: This contains the data and replication files for "The Structure of American Tax Policy Preferences."
DOI: 10.7910/dvn/rfock7
title: Colorectal cancer cases & related risk factors

description: This dataset includes 5 files. File 1 contains the geographical locations of 695 colorectal cancer cases diagnosed between March 2016 and March 2017 in the city of Mashhad Northeastern Iran. File 2 is regarded to the digital map of neighbourhood divisions of the city and their population in age groups. Files 3-5 show contributor risk factors including average of daily red meat consumption, daily fiber intake, and body mass index for each neighbourhood of the city.
DOI: 10.7910/dvn/rfsze4
title: 2000 Population Census Data Assembly, NEIMENGGU Autonomous Region; 内蒙古自治区2000人口普查统计资料汇编

description: The data files in this study have been created by merging individual per-county census files available as Microsoft Excel spreadsheets. Thus the study contains 111 data files, 1 file per census category. Each of these files contains merged census data for the following counties: HUHEHAOTE XINCHENGQU 呼和浩特新城区 (150102), HUIMIN 回民区 (150103), YUQUAN 玉泉区 (150104), SAIHAN 赛罕区 (150105), TUMOTEZUO 土默特左旗 (150121), TUOKETUO 托克托县 (150122), HELINGEER 和林格尔县 (150123), QINGSHUIHE 清水河县 (150124), WUCHUAN 武川县 (150125), DONGHE 东河区 (150202), KUNDULUN 昆都伦区 (150203), QINGSHAN 青山区 (150204), SHIGUAI 石拐区 (150205), BAIYUNKUANGQU 白云矿区 (150206), JIUYUAN 九原区 (150207), TUMOTEYOU 土默特右旗 (150221), GUYANG 固阳县 (150222), DAERHANMAOMINGANLIANHE 达尔罕茂明安联合旗 (150223), HAIBOWAN 海勃湾区 (150302), HAINAN 海南区 (150303), WUDA 乌达区 (150304), HONGSHAN 红山区 (150402), YUANBAOSHAN 元宝山区 (150403), SONGSHAN 松山区 (150404), ALUKEERQIN 阿鲁科尔沁旗 (150421), BALINZUO 巴林左旗 (150422), BALINYOU 巴林右旗 (150423), LINXI 林西县 (150424), KESHENKETENG 克什克腾旗 (150425), WENGNIUTE 翁牛特旗 (150426), KALAQIN 喀喇沁旗 (150428), NINGCHENG 宁城县 (150429), AOHAN 敖汉旗 (150430), KEERQIN 科尔沁区 (150502), KEERQINZUOYIZHONG 科尔沁左翼中旗 (150521), KEERQINZUOYIHOU 科尔沁左翼后旗 (150522), KAILU 开鲁县 (150523), KULUN 库伦旗 (150524), NAIMAN 奈曼旗 (150525), ZHALUTE 扎鲁特旗 (150526), HUOLINGUOLE 霍林郭勒市 (150581), HAILAER 海拉尔市 (152101), MANZHOULI 满洲里市 (152102), ZHALANTUN 扎兰屯市 (152103), YAKESHI 牙克石市 (152104), GENHE 根河市 (152105), EERGUNA 额尔古纳市 (152106), ARONG 阿荣旗 (152122), MOLIDAWADAWOERZUZIZHIQI 莫力达瓦达斡尔族自治旗 (152123), ELUNCHUNZIZHIQI 鄂伦春自治旗 (152127), EWENKEZUZIZHIQI 鄂温克族自治旗 (152128), XINBAERHUYOU 新巴尔虎右旗 (152129), XINBAERHUZUO 新巴尔虎左旗 (152130), CHENBAERHU 陈巴尔虎旗 (152131), WULANHAOTE 乌兰浩特市 (152201), AERSHAN 阿尔山市 (152202), KEERQINYOUYIQIAN 科尔沁右翼前旗 (152221), KEERQINYOUYIZHONG 科尔沁右翼中旗 (152222), ZHALAITE 扎赉特旗 (152223), TUQUAN 突泉县 (152224), ERLIANHAOTE 二连浩特市 (152501), XILINHAOTE 锡林浩特市 (152502), ABAGA 阿巴嘎旗 (152522), SUNITEZUO 苏尼特左旗 (152523), SUNITEYOU 苏尼特右旗 (152524), DONGWUZHUMUQIN 东乌珠穆沁旗 (152525), XIWUZHUMUQIN 西乌珠穆沁旗 (152526), TAIPUSI 太仆寺旗 (152527), XIANGHUANG 镶黄旗 (152528), ZHENGXIANGBAI 正镶白旗 (152529), ZHENGLAN 正蓝旗 (152530), DUOLUN 多伦县 (152531), JINING 集宁市 (152601), FENGZHEN 丰镇市 (152602), ZHUOZI 卓资县 (152624), HUADE 化德县 (152625), SHANGDU 商都县 (152626), XINGHE 兴和县 (152627), LIANGCHENG 凉城县 (152629), CHAHAERYOUYIQIAN 察哈尔右翼前旗 (152630), CHAHAERYOUYIZHONG 察哈尔右翼中旗 (152631), CHAHAERYOUYIHOU 察哈尔右翼后旗 (152632), SIZIWANG 四子王旗 (152634), DONGSHENG 东胜市 (152701), DALATE 达拉特旗 (152722), ZHUNGEER 准格尔旗 (152723), ETUOKEQIAN 鄂托克前旗 (152724), ETUOKE 鄂托克旗 (152725), HANGJIN 杭锦旗 (152726), WUSHEN 乌审旗 (152727), YIJINHUOLUO 伊金霍洛旗 (152728), LINHE 临河市 (152801), WUYUAN 五原县 (152822), DENGKOU 磴口县 (152823), WULATEQIAN 乌拉特前旗 (152824), WULATEZHONG 乌拉特中旗 (152825), WULATEHOU 乌拉特后旗 (152826), HANGJINHOU 杭锦后旗 (152827), ALASHA
NZUO 阿拉善左旗 (152921), ALASHANYOU 阿拉善右旗 (152922), EJINA 额济纳旗 (152923).
DOI: 10.7910/dvn/sqfg9j
title: Replication Data for: Difference-in-Differences Estimators of Intertemporal Treatment Effects

description: Review of Economics and Statistics: Forthcoming.
DOI: 10.7910/dvn/6g0d9t
title: Ethereum Blockchain

description: ERC20 crypto token trading on top of the Ethereum Blockchain
DOI: 10.7910/dvn/6lalgj
title: WW23

description: This report describes the results of an annual nationwide survey on winter weather in the United States. The 2023 Winter Weather and Society Survey (WW23) was designed and administered by the Institute for Public Policy Research and Analysis (IPPRA) at the University of Oklahoma. It was fielded from October 26 through November 6, 2023, using an online questionnaire that was completed by 1,459 U.S. adults (age 18+) that were recruited from an Internet panel that matches the characteristics of the U.S. population as estimated in the U.S. Census. The WW21 survey was designed to establish baseline measures of the extent to which U.S. adults receive, understand, and respond to winter weather forecasts and warnings. The survey also measured public trust in the National Weather Service (NWS), extreme weather and climate risk perceptions, risk literacy, interpretations of probabilistic language, and winter weather preparedness. In the WW22 survey, those baseline questions were refined, and respondents’ threshold for winter weather events, the perceived impact of winter weather on their location and daily life and their perceptions of the amount of snow that will fall given certain forecast messaging are all tested. The WW23 survey continues to test these measures, while adding questions addressing how prebunk messaging impacts the ability of members of the public to identify high-quality forecast information. This report briefly describes the methodology, survey data collection, data weighting, and a reproduction of the survey instrument with weighted means and frequencies for the questions that elicited numeric responses.
DOI: 10.7910/dvn/gblkvp
title: Replication Files for: Camouflaged Propaganda: A Survey Experiment on Political Native Advertising

description: We examine a new form of propaganda, political native advertising} in which political actors, including foreign governments, buy space in independent media outlets to publish advertisements that are camouflaged as standard news stories. Those who engage in this form of propaganda hope to exploit the higher credibility of the hosting media site to enhance the persuasiveness of their message. Despite the obvious political implications and ethical issues at stake, political native advertising has received almost no scholarly attention. Our article begins to redress this imbalance. Using an online survey experiment with real political native advertisements in the Washington Post and The Telegraph bought by the Chinese government, we provide some of the first empirical evidence on basic but important features of political native advertising. We find, among other things, that respondents struggle to distinguish political advertisements from standard news stories regardless of their level of education and media literacy, that political advertisements are more convincing if they appear on and are perceived as news from an independent hosting media site than in a government-controlled news outlet, and that trust in the hosting media site declines if the political advertisement is detected.
DOI: 10.7910/dvn/spdib
title: Senate Unpassed Legislation 1855, Docket 18373, SC1/series 231, Petition of Andrew Roberson

description: &lt;p&gt;Petition subject: For the removal of Edward Greeley Loring &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:11858555"&gt;http://nrs.harvard.edu/urn-3:FHCL:11858555&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: New Bedford &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: Caleb L. Ellis, New Bedford; committee on federal relations &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Andrew Roberson&lt;/li&gt;&lt;li&gt;Joseph Ricketson&lt;/li&gt;&lt;li&gt;George G. Gifford&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1855-02-13 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the House on February 13, 1855 and referred to the committee on federal relations &lt;/p&gt; &lt;p&gt;Total signatures: 61 &lt;/p&gt; &lt;p&gt;Legislative action summary: Received, referred &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 61 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: citizens, ["others"] &lt;/p&gt; &lt;p&gt;Prayer format was &lt;a href="http://en.wikipedia.org/wiki/Printing"&gt;printed&lt;/a&gt; vs. &lt;a href="http://en.wikipedia.org/wiki/Manuscript"&gt;manuscript&lt;/a&gt;: Manuscript &lt;/p&gt; &lt;p&gt;Additional non-petition or unrelated documents available at archive: no additional documents &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: Senate Unpassed 1855, Docket 18373 &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt;
DOI: 10.7910/dvn/jhx0dn
title: Wright Casebook Edited; Disbarment No. 106
DOI: 10.7910/dvn/m2e4bf
title: Replication Data for: Trade elasticity of Japan's meat imports

description: Three approaches (IV, Feenstra, and implicit IV) to estimate import substitution elasticities.
DOI: 10.7910/dvn/rfq8au
title: Data for "Braiding, twisting, and weaving microscale fibers with capillary forces"

description: Data shown in the paper. See publication for more details.
DOI: 10.7910/dvn/tjuf3q
title: Colle Gnifetti Ice Core - ICPMS Bi record 600-825 C.E. - Climate Change Institute - University of Maine

description: Spaulding, Nicole; Bohleber, Pascal; Sneed, Sharon; Handley, Michael, 2018, Colle Gnifetti Ice Core - ICPMS Bi record 600-825 C.E. - Climate Change Institute - University of Maine
DOI: 10.7910/dvn/a2ovbn
title: Replication Data for: Unpacking Territorial Disputes: Domestic Political Influences and War

description: Replication data (Stata 13 version), do-files, and online appendix included in the zip file.
DOI: 10.7910/dvn/glmrol
title: SPIRIT Guidelines checklist

description: This dataset represents the SPIRIT guidelines checklist for a randomized controlled trial protocol
DOI: 10.7910/dvn/mtuqq
title: House Unpassed Legislation 1849, Docket 2343, SC1/series 230, Petition of Ebenezer Merriam

description: &lt;p&gt;Petition subject: Secession from the Union &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:11029688"&gt;http://nrs.harvard.edu/urn-3:FHCL:11029688&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: West Brookfield &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: Amasa Walker, North Brookfield; committee on the judiciary &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Ebenezer Merriam&lt;/li&gt;&lt;li&gt;Oliver S. Cooke&lt;/li&gt;&lt;li&gt;Elizabeth Eddy&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1849-03-08 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the House on March 8, 1849 and referred to the committee on the judiciary &lt;/p&gt; &lt;p&gt;Total signatures: 200 &lt;/p&gt; &lt;p&gt;Legislative action summary: Received, referred &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 144 &lt;/p&gt; &lt;p&gt;Female signatures: 50 &lt;/p&gt; &lt;p&gt;Other male signatures: 1 &lt;/p&gt; &lt;p&gt;Unidentified signatures: 5 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: inhabitants, [females], [other males], ["non voters"], ["others"] &lt;/p&gt; &lt;p&gt;Prayer format was &lt;a href="http://en.wikipedia.org/wiki/Printing"&gt;printed&lt;/a&gt; vs. &lt;a href="http://en.wikipedia.org/wiki/Manuscript"&gt;manuscript&lt;/a&gt;: Printed &lt;/p&gt; &lt;p&gt;Signatory column format: column separated &lt;/p&gt; &lt;p&gt;Additional non-petition or unrelated documents available at archive: no additional documents &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: House Unpassed 1849, Docket 2343 &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt;
DOI: 10.7910/dvn/nibgoq
title: Single-Cell Level Estrogen Receptor Activity Data

description: This dataset contains normalized single-cell level data for 60 reference compounds analyzed with high throughput microscopy and high content analysis-based experiments that were performed using the GFP-ER⍺:PRL-HeLa cell line. The multidimensional imaging data was used to train a classification model to ultimately predict the impact of unknown compounds on the estrogen receptor, either as agonists or antagonists as outlined in the RMarkdown file. All chemical screening data were normalized to E2-treated control samples using the robust z-score calculation based on single-cell data. In experiments that spanned multiple sample plates, the median and MAD values were calculated for each plate, the median MAD value across all plates was determined, and the robust z-score was calculated using the per-plate median value and the overall median MAD value. Datasets with names "LMH10" and "M50" are engineered datasets with number of features expanded using percentiles. Percentiles were determined by identifying the single-cell features falling into the 0-10th percentile range (L10), 45th–55th percentile range (M10), the 90th–100th percentile range (H10), and the 25th–75th percentile range (M50) from each sample. Experimental data sets containing all single-cell data and engineered data sets containing only the L10 + M10 + H10 or only the M50 single-cell features were also divided into 2 subsets depending on the detection of visible GFP-ER nuclear spots (all cells and array positive cells) used for subsequent model development.