Corpus of Resolutions: UN Security Council (CR-UNSC)

Corpus of Resolutions UN Security Council (CR-UNSC) Codebook Version 2025-12-22 DOI: 10.5281/zenodo.15154519 Title Corpus of Resolutions: UN Security Council Abbreviation CR-UNSC Author Seán Fobbe, Lorenzo Gasbarri and Niccoló Ridi Version 2025-12-22 Download https://doi.org/10.5281/zenodo.15154519 License CC0 1.0 Universal Citation Seán Fobbe, Lorenzo Gasbarri and Niccoló Ridi (2025). Corpus of Resolutions: UN Security Council (CR-UNSC). Version 2025-12-22. Zenodo. DOI: 10.5281/zenodo.15154519. Digital Object Identifiers: Concept DOI and Version DOI This data set is uniquely identified via the Digital Object Identifier (DOI) system. DOIs are persistent identifiers that are globally unique and can be resolved as a link by entering a DOI into the web service at www.doi.org. The DOI given in this document is a ‘Version DOI’, which uniquely identifies version 2025-12-22. Academics and others who wish to enable replication analyses are strongly advised to cite the version DOI and the precise version of the data used. A ‘Concept DOI’ is available from the page of the Zenodo record under the heading ‘Cite all versions?’ and will always resolve to the latest version. Public Domain Status The full data set and this document are distributed under a Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication license. The person who associated a work with this deed has dedicated the work to the public domain by waiving all of his or her rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. In no way are the patent or trademark rights of any person affected by CC0, nor are the rights that other persons may have in the work or in how the work is used, such as publicity or privacy rights. Unless expressly stated otherwise, the person who associated a work with this deed makes no warranties about the work, and disclaims liability for all uses of the work, to the fullest extent permitted by applicable law. Please see <https://creativecommons.org/publicdomain/zero/1.0/legalcode> for the full terms of the license. Disclaimer This data set is a personal academic initiative and is not associated with or endorsed by the the United Nations or any of its constituent organs and organizations. 2 Contents 1 Introduction 5 2 Reading Files 6 2.1 CSVFiles..................................... 6 2.2 TXTFiles..................................... 6 3 Data Set Design 7 3.1 Overview ..................................... 7 3.2 TableofSources ................................. 7 3.3 Motivation .................................... 7 3.4 Funding ...................................... 7 3.5 Composition ................................... 7 3.6 SensitiveData .................................. 8 3.7 DataCollection.................................. 8 3.8 Processing and Quality Assurance . . . . . . . . . . . . . . . . . . . . . . . 8 3.9 Uses ........................................ 10 3.10Distribution.................................... 10 3.11 Copyright Status: Public Domain . . . . . . . . . . . . . . . . . . . . . . . . 10 3.12 Maintenance and Updates . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 3.13 Source Code and Compilation Report . . . . . . . . . . . . . . . . . . . . . 12 3.14Limitations .................................... 12 4 Variants and Target Audiences 13 4.1 OverviewofVariants............................... 13 4.1.1 Recommended for Quantitative Research . . . . . . . . . . . . . . . 13 4.1.2 Recommended for Traditional Research . . . . . . . . . . . . . . . . 13 4.2 ALL_CSV_FULL ................................ 13 4.3 ALL_CSV_META................................ 13 4.4 ALL_PDF_Resolutions............................. 13 4.5 ALL_TXT .................................... 14 4.6 ANALYSIS .................................... 14 4.7 BIBTEX_OSCOLA ............................... 14 4.8 CITATIONS_GRAPHML............................ 14 4.9 EN_PDF_Drafts................................. 15 4.10 EN_PDF_Meeting-Records . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 4.11EN_TXT_BEST................................. 15 5 Variable Descriptions 16 5.1 GeneralRemarks................................. 16 5.2 IDVariables.................................... 16 5.3 TextVariables................................... 17 5.4 ThematicVariables................................ 19 5.5 VoteVariables................................... 21 5.6 GeographicVariables............................... 22 5.7 SourceVariables ................................. 23 5.8 MetaVariables .................................. 25 6 Citation Network Data 26 3 7 Linguistic Metrics 29 7.1 ExplanationofMetrics.............................. 29 7.2 SummaryStatistics................................ 29 7.3 Distributions of Document Length . . . . . . . . . . . . . . . . . . . . . . . 29 8 Metadata Frequency Tables 31 8.1 ByYear ...................................... 31 8.2 ByCountryMentioned.............................. 34 8.3 By Region of Countries Mentioned . . . . . . . . . . . . . . . . . . . . . . . 42 8.4 By Sub-Region of Countries Mentioned . . . . . . . . . . . . . . . . . . . . 43 8.5 BySubject .................................... 45 8.6 Proportions of Votes Cast . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48 9 FAIR Data Conformity Declaration 50 9.1 [F]Findable.................................... 50 9.2 [A]Accessible................................... 50 9.3 [I]Interoperable.................................. 51 9.4 [R]Reusable ................................... 51 10 Cryptographic Signatures 53 10.1TwoPhaseSignature............................... 53 10.2PersonalGPGKey................................ 53 11 Changelog 54 11.1Version2025-12-22 ................................ 54 11.1.1Data.................................... 54 11.1.2 New Features and Improvements . . . . . . . . . . . . . . . . . . . . 54 11.1.3BugFixes................................. 54 11.1.4 Refactoring and Dependencies . . . . . . . . . . . . . . . . . . . . . 54 11.2Version2024-05-19 ................................ 54 11.3Version2024-05-03 ................................ 55 12 Replication Parameters 56 Bibliography 58 4 1 Introduction The United Nations Security Council (UNSC) is the most influential of the principal UN organs. Composed of five permanent and ten non-permanent members, its functioning is constrained by the political context in which it operates. During the Cold War, the complex political relationships between the permanent members and their veto powers significantly affected the capacity of the UNSC to address violations of international peace and security, with only 646 resolutions passed from 1946 to 1989. Since the 1990s, the activity of the UN Security Council has increased dramatically and produced 2721 resolutions up to the end of 2023. The length, complexity and thematic breadth of the resolutions has also increased, prompting calls to redefine it as a quasilegislative body. Under Articles 24 and 25 of the UN Charter, member states have conferred upon the UNSC the ‘primary responsibility for the maintenance of international peace and security’ and have agreed ‘to accept and carry out’ its decisions. The discharge of this function is carried out through the powers bestowed upon it under Chapter VI of the UN Charter, ‘Pacific Settlement of Disputes’, Chapter VII, ‘Action with Respect to Threats to the Peace, Breaches of the Peace, and Acts of Aggression’, Chapter VIII, ‘Regional Arrangements’, and Chapter XII, ‘International Trusteeship System’. Under the peace and security mandate, its areas of activity cover disarmament, pacific settlement of disputes, enforcement, and, until 1994, strategic areas in a trusteeship agreement. Its functions also pertain to the correct working of the United Nations, covering issues of membership, the appointment of the Secretary General, the elections of judges of the International Court of Justice (ICJ), the calling of special and emergency sessions of the General Assembly, the amendment of the Charter and of the ICJ Statute. The Corpus of Resolution: UN Security Council (CR-UNSC) collects and presents for the first time all resolutions, drafts, and meeting records of the UN Security Council with their associated metadata, as published by the UN Digital Library.1 The quantitative analysis of international legal data is still in its infancy, a situation exacerbated by the lack of high-quality empirical data. Most advanced data sets are held in commercial databases and are therefore not easily available to academic researchers, journalists and the general public. With this data set we hope to contribute to a more systematic and empirical view of the international legal system. In an international community founded on the rule of law the activities of the United Nations must be public, transparent and defensible. In the 21st century this requires quantitative scientific review of decisions and actions. Design, construction and compilation of this data set are based on the principles of general availability through freedom from copyright (public domain status), strict transparency and full scientific reproducibility. The FAIR Guiding Principles for Scientific Data Management and Stewardship (Findable, Accessible, Interoperable and Reusable) inspire both the design and the manner of publication.2 1https://digitallibrary.un.org/. 2 Wilkinson, M., Dumontier, M., Aalbersberg, I. et al. The FAIR Guiding Principles for Scientific Data Management and Stewardship. Sci Data 3, 160018 (2016). <https://doi.org/10.1038/sdata.2016.18>. 5 2 Reading Files The data are published in open, interoperable and widely used formats (CSV, TXT, PDF, GraphML). They can be used with all modern programming languages (e.g. Python or R) and graphical interfaces. The PDF collections are intended to facilitate traditional legal research. Important: Missing values are always coded as ‘NA’. 2.1 CSV Files Working with the CSV files is recommended. CSV 3 is an open and simple machine-readable tabular data format. In this data set values are separated by commas. Each column is a variable and each row is a document. Variables are explained in detail in section 5. To read CSV files into R we strongly recommend using the fast file reader fread() from the data.table package (available on CRAN). The file can be read into Rlike so: library(data.table) unsc <- fread("CR-UNSC_2023-08-23_EN_CSV_Main-Dataset.csv") 2.2 TXT Files The TXT files, including metadata, can be read into Rwith the package readtext (available on CRAN): library(readtext) unsc <- readtext("txt_res_en/*.txt", docvarsfrom = "filenames", docvarnames = c("body", "doctype", "res_no", "year", "language"), dvsep = "_", encoding = "UTF-8") 3The CSV format is defined in RFC 4180: <https://tools.ietf.org/html/rfc4180>. 6 3 Data Set Design 3.1 Overview The Corpus of Resolutions: UN Security Council (CR-UNSC) collects and structures in humanand machine-readable form all published resolutions of the United Nations Security Council (UNSC) in all six official UN languages (Arabic, Chinese, English, French, Spanish and Russian). Specialized variants of the data set provide citation data and a bibliopgrahic database compatible with a wide range of end-user applications. This structure and content of this section build on the suggestions offered in: Gebru, T., Morgenstern, J., Vecchione, B., Vaughan, J. W., Wallach, H., Iii, H. D., & Crawford, K. (2021). Datasheets for datasets. Communications of the ACM, 64(12), 86-92. 3.2 Table of Sources Data Source Citation Primary Data Source https://digitallibrary.un.org/ Source Code https://doi.org/10.5281/zenodo.15154520 3.3 Motivation Our motivation in creating this dataset is to enhance international legal and political research in general, increase understanding of the work of the UN Security Council and facilitate creative digital work in the area of international peace and security. The CR-UNSC is a general-purpose dataset intended to provide high-quality legal and political data that enables researchers, practitioners, civil society, UN officials, governments and any other interested parties to address a wide range research questions related to the UN Security Council. The use of the main data set is not limited to a particular line of inquiry or specific discipline. Specialized variants of the data set offer citation data and a bibliographic database compatible with a wide range of end-user applications. 3.4 Funding The authors did not receive any specific funding to work on this dataset. All work on the dataset was carried out in addition to their regular academic activities. 3.5 Composition The dataset is primarily composed of the texts of all resolutions in all official UN languages published by the UN Security Council. We aim for a complete accounting of all resolutions, up to the most recent resolution that was available through the UN Digital Library on the date of data set creation. We further provide the English texts of the draft resolutions and meeting records associated with each resolutons. 7 Each resolution is accompanied by as much high-quality metadata as could be acquired and validated, as well as additional metadata extracted from the text of the resolutions. The exact composition and scope of the data set is documented and visualized with frequency tables at the end of this Codebook. The data set is self-contained, but it contains the original URLs to UN Digital Library record pages and URLs to individual PDF files for purposes of reproducibility, data validation and creating digital applications that would benefit from integrating linked open data. We assume these URLs will remain stable over time, but their maintenance depends on the actions of the UN Digital Library. In case of link failure, newer version of the data set will contain updated links. There are no recommended data splits. However, all resolutions are consecutively numbered and timestamped with the date of adoption. Time series analyses should take this into account. 3.6 Sensitive Data Resolutions of the UN Security Council are publicly available official documents of an international organization. The metadata strictly relates to these public documents. While the text of the resolutions contains references to individuals and organizations, this information has always been published in unredacted form by the UN Security Council. We have not redacted any of this information to ensure the integrity of these official documents. In any case, the maintenance of international peace and security at the highest international level is a public affair of such magnitude that privacy rights of individuals and organizations cannot prevent their mention and discussion of their activities in official texts of the UN Security Council. 3.7 Data Collection Data were collected with the explicit consent of the United Nations. All documents were downloaded via TLS-encrypted connections and cryptographically signed after data processing was complete. The data set collects all resolutions issued by the UN Security Council that were published by the UN Digital Library up to resolution number 2798. 3.8 Processing and Quality Assurance Dozens of automated tests were conducted to ensure the quality of the data and metadata. These include: •Validation of variable types • Plausibility checks on expected values for many variables (e.g. minima, maxima, plausible values) •Completeness checks on download and full dataset •Text quality and language purity checks •Creation of visualizations for many common descriptive analyses For results of each test and more information on the construction of the data set please refer to the Compilation Report and the Quality Assurance Report. 8 dt.final ocr_res_ru ocr_res_en txt_all ocr_res_ar pdf_res_es graphml_citations dt.download.final bibtex.oscola pdf_res_fr txt_res_es dt.final.meta pdf_draft_en html.record.voting report.codebook report.test zip.all txt_res_fr txt_en_best ocr_meeting_en txt_meeting_en hashes dt_meeting_en dt_ocr_meeting_en dt_res_ar dt_res_en dt_res_es dt_res_fr dt_res_ru dt_res_zh dt.intermediate dt.var_codebook vars_additional pdf_res_en ocr_draft_en dt.record.voting.final pdf_res_ar pdf_res_ru pdf_res_zh files.source csv.record.table html.record.draft var_constants var_date var_lingstats var_regex pdf_meeting_en file.var_codebook ocr_res_es dt.record.final txt_draft_en dt.download txt_res_en dt_extracted_res_all dt_ocr_res_all dt_res_en_gold txt_res_ar igraph_citations record.voting.stable res.no.full pqt_final zip_analysis zip_bibtex_oscola zip_csv_final zip_csv_meta zip_graphml zip_pdf_draft_original zip_pdf_meeting_original zip_pdf_res_original zip_source zip_txt zip_txt_en_best csv.record.voting ocr_res_fr txt_res_zh txt_res_ru dt_draft_all dt_meeting_all dt.voting html.record.meeting url.draft url.meeting record.table.stable changelog latexdefs lingstats.summary csv_final pdf_res_all txt_res_en_gold langtest ocrtest ocr_res_zh csv_meta dt_draft_en dt_ocr_draft_en dt_ocr_res_ar dt_ocr_res_en dt_ocr_res_es dt_ocr_res_fr dt_ocr_res_ru dt_ocr_res_zh html.record.res csv.hashes CR−UNSC | Version 2025−12−22 | Data set compilation process Fobbe/Gasbarri/Ridi | DOI: 10.5281/zenodo.15154519 Figure 1: Dataset Compilation Process 9 5 Variable Descriptions 5.1 General Remarks •Missing values are always coded as ‘NA’. •All Strings are encoded in UTF-8. • A significant part of the metadata has been drawn from the UN Digital Library metadata records and was originally curated by the UN Digital Library. 5.2 ID Variables The group ID variables identifies the resolution, its draft, meeting record and various associated documents with symbols and dates. Variable Type Description body String The body issuing the document. In the main data set this is always the UN Security Council (‘S’), in the network data this may also be the UN General Assembly (‘A’). call_number String The call number of the resolution. This is either ‘UNS(01)/R3’ or NA. Curated by the UN Digital Library. committee_report String The official UN symbol of the committee report. Example: ‘S/2006/58’. Curated by the UN Digital Library. date Date The adoption date of the resolution in the format YYYY-MM-DD (ISO 8601). Example: ‘2016-11-09’. Extracted with REGEX from the ‘other_titles’ variable and corrected by the authors. doc_id String The filename of the extracted English language TXT file. doctype String The type of the main document. In this data set always ‘RES’. draft String The official UN symbol of the draft. Example: ‘S/2023/102’. Curated by the UN Digital Library. meeting_no Integer The number of the UN Security Council meeting in which the resolution was adopted. meeting_record String The official UN symbol of the meeting record. Example: ‘S/PV.8891’. Curated by the UN Digital Library. 16 (continued) Variable Type Description related_resource String The official UN symbol of related resources. Example: ‘S/1234’. Curated by the UN Digital Library. res_no Integer The number of the resolution. Example: ‘156’. Extracted with REGEX from the ‘other_titles’ variable. symbol String The official UN symbol of the resolution. Example: ‘S/RES/2316’ (2016) year Integer The adoption year of the resolution in the format YYYY (ISO 8601). Example: ‘2016’ 5.3 Text Variables Text variables contain the full text of all six language versions of the UN Security Council’s resolutions. Also provided are pre-computed statistical measures of the length of each resolution (English text only). Variable Type Description nchars Integer The number of characters in the English text of the resolution. Calculated with the nchar() function in R. npages Integer Number of pages of the English PDF version of the document. Curated by the UN Digital Library. nsentences Integer The number of sentences in a given document. Computed with the quanteda package for R. This count was generated based on plain tokenization with no further pre-processing (e.g. stopword removal, removal of numbers, lowercasing) applied. The rules for detecting sentence boundaries are very complex and are described in ‘Unicode Standard Annex No 29’. ntokens Integer The number of tokens (an arbitrary character sequence bounded by whitespace) in a given document. Computed with the quanteda package for R. This count was generated based on plain tokenization with no further pre-processing (e.g. stopword removal, removal of numbers, lowercasing) applied. 17 (continued) Variable Type Description ntypes Integer The number of types (unique tokens) in a given document. Computed with the quanteda package for R. This count was generated based on plain tokenization with no further pre-processing (e.g. stopword removal, removal of numbers, lowercasing) applied. text String The English full text of the resolution. Up to resolution 899 this is OCR text revised by international lawyers (gold standard), later resolutions are assumed to be born-digital and the text is extracted from the PDF file as-is. text_ar String The Arabic full text of the resolution. Up to resolution 899 this is non-revised OCR text, later texts are assumed to be born-digital and the text is extracted from the PDF file as-is. WARNING: non-revised OCR text may contain errors and superfluous text from other documents if they were printed on the same page. text_draft String The English full text of the draft resolution. Up to resolution 899 this is non-revised OCR text, later texts are assumed to be born-digital and the text is extracted from the PDF file as-is. WARNING: non-revised OCR text may contain errors and superfluous text from other documents if they were printed on the same page. text_es String The Spanish full text of the resolution. Up to resolution 899 this is non-revised OCR text, later texts are assumed to be born-digital and the text is extracted from the PDF file as-is. WARNING: non-revised OCR text may contain errors and superfluous text from other documents if they were printed on the same page. text_fr String The French full text of the resolution. Up to resolution 899 this is non-revised OCR text, later texts are assumed to be born-digital and the text is extracted from the PDF file as-is. WARNING: non-revised OCR text may contain errors and superfluous text from other documents if they were printed on the same page. 18 (continued) Variable Type Description text_meeting String The English full text of the meeting record. Up to resolution 899 this is non-revised OCR text, later texts are assumed to be born-digital and the text is extracted from the PDF file as-is. WARNING: non-revised OCR text may contain errors and superfluous text from other documents if they were printed on the same page. text_ru String The Russian full text of the resolution. Up to resolution 899 this is non-revised OCR text, later texts are assumed to be born-digital and the text is extracted from the PDF file as-is. WARNING: non-revised OCR text may contain errors and superfluous text from other documents if they were printed on the same page. text_zh String The Chinese full text of the resolution. Up to resolution 899 this is non-revised OCR text, later texts are assumed to be born-digital and the text is extracted from the PDF file as-is. WARNING: non-revised OCR text may contain errors and superfluous text from other documents if they were printed on the same page. 5.4 Thematic Variables Thematic variables contain a number of different classifications of UN Security Council texts and will prove especially useful for refining the data to fit a thematic research question. Variable Type Description agenda_information String Information on the agenda. Curated by the UN Digital Library. aggression Logical Whether the string ‘aggression’ is present in the English text of the resolution. Either TRUE or FALSE. chapter6 Logical Whether the string ‘Chapter VI’ is present in the English text of the resolution. Either TRUE or FALSE. chapter7 Logical Whether the string ‘Chapter VII’ is present in the English text of the resolution. Either TRUE or FALSE. 19 (continued) Variable Type Description chapter8 Logical Whether the string ‘Chapter VIII’ is present in the English text of the resolution. Either TRUE or FALSE. contains String The full name of an instrument annexed to a resolution, otherwise ‘NA’. Example: Statute of the International Tribunal for Rwanda (1994). Curated by the UN Digital Library. human_rights Logical Whether the string ‘human rights’ is present in the English text of the resolution. Either TRUE or FALSE. notes String Additional notes on the resolution. Curated by the UN Digital Library. other_titles String The number, year, body, meeting number and date of the resolution in narrative text. Curated by the UN Digital Library. peace_breach Logical Whether the strings ‘breach of the peace’ or ‘breach of international peace’ is present in the English text of the resolution. Either TRUE or FALSE. peace_threat Logical Whether the strings ‘threat to peace’, ‘threat to international peace’ or ‘threat to the peace’ are present in the English text of the resolution. Either TRUE or FALSE. self_defence Logical Whether the strings ‘self-defense’ or ‘self-defence’ are present in the English text of the resolution. Either TRUE or FALSE. series String Indicates whether an Advisory Opinion was requested from the International Court of Justice. Curated by the UN Digital Library. subjects String One or more thematic labels. Multiple labels are separated by vertical bars. Curated by the UN Digital Library. summary String A summary of the resolution, presumably humancreated. Curated by the UN Digital Library. title String The number, year and topic of the resolution. Curated by the UN Digital Library. 20 (continued) Variable Type Description topic String A short description of the resolution’s specific topic. Example: ‘on withdrawal of USSR troops from Iran’. Extracted with REGEX from the ‘other_titles’ variable. 5.5 Vote Variables Vote variables document the voting results and voting patterns of UNSC resolutions. Includes counts, total and disaggregated, as well as individual votes cast by each State. Note that the UNSC was enlarged from 11 to 15 members (from 6 to 10 non-permanent members) in 1965, so comparing absolute vote counts is only appropriate before and after those years. All other analyses should use proportions. When attempting to build prediction models, please bear in mind that the data set only documents successfuly adopted resolutions and their voting data. Many draft resolutions fail during the negotiation stage or because they cannot secure the necessary number of votes. Any prediction model should inclues these failed drafts, but they are not included as part of this dataset. Variable Type Description vote_abstention Integer The number of abstentions. Based on the variable ‘vote_summary’. vote_date Date The date of the vote on the resolution in the format YYYY-MM-DD (ISO 8601). Example: 1948-08-19. Curated by the UN Digital Library. vote_detail String A breakdown of all votes by State. Curated by the UN Digital Library. vote_no Integer The number of ‘no’ votes. Extracted with REGEX from the variable ‘vote_summary’. vote_nonvote Integer The number of non-voting members. Extracted with REGEX from the variable ‘vote_summary’. vote_summary String A narrative summary of the voting counts (yes, no, abstention, non-voting, total voting membership). Curated by the UN Digital Library. vote_total Integer The total voting membership of the UN Security Council at the time of the vote. Extracted with REGEX from the variable ‘vote_summary’. vote_yes Integer The number of ‘yes’ votes. Extracted with REGEX from the variable ‘vote_summary’. 21 5.6 Geographic Variables Geographic variables provide insight into the geographic distribution of the UNSC’s attention. Note that the voting variables contain the geographic distribution of votes. Variable Type Description iso_alpha3 String The ISO 3166-1 Alpha-3 codes of all countries mentioned in the text of the resolution. Example: GBR. If more than one, separated by a pipe character. Extracted with REGEX from the English resolution text by searching for short names listed in the UN M49 standard (slightly modified for better accuracy, for example by adding ‘DPRK’ for North Korea). Warning: a hit for the Congo will always show up when the Democratic Republic of the Congo (DRC) is mentioned. Further disambiguation is not possible because both the short name (Congo) and the full name (Republic of the Congo) are perfect subsets of the official name of the DRC. iso_name String The ISO 3166-1 Alpha-3 names of all countries mentioned in the resolution. Example: Afghanistan. If more than one, separated by a pipe character. Transformation of the variable ‘iso_alpha3’. m49_countrycode String The UN M49 country codes of all countries mentioned in the resolution. Example: 818. If more than one, separated by a pipe character. Transformation of the variable ‘iso_alpha3’. m49_region String The UN M49 regions of all countries mentioned in the resolution. Example: Americas. If more than one, separated by a pipe character. Transformation of the variable ‘iso_alpha3’. m49_region_intermediate String The UN M49 intermediate regions of all countries mentioned in the resolution. Example: South America. If more than one, separated by a pipe character. Note that not all countries have intermediate regions assigned. Transformation of the variable ‘iso_alpha3’. m49_region_sub String The UN M49 sub-regions of all countries mentioned in the resolution. Example: Latin America and the Caribbean. If more than one, separated by a pipe character. Transformation of the variable ‘iso_alpha3’. 22 5.7 Source Variables Source variables provide explicit references for the data sources via URLs to UN Digital Library record pages and documents. Variable Type Description url_record String The URL of the UN Digital Library record for the main resolution. url_record_draft String The URL of the UN Digital Library record for the draft resolution. url_record_meeting String The URL of the UN Digital Library record for the meeting transcript. url_res_ar String The URL of the PDF file containing the Arabic resolution text. Hosted by the UN Digital Library. url_res_en String The URL of the PDF file containing the English resolution text. Hosted by the UN Digital Library. url_res_es String The URL of the PDF file containing the Spanish resolution text. Hosted by the UN Digital Library. url_res_fr String The URL of the PDF file containing the French resolution text. Hosted by the UN Digital Library. url_res_ru String The URL of the PDF file containing the Russian resolution text. Hosted by the UN Digital Library. url_res_zh String The URL of the PDF file containing the Chinese resolution text. Hosted by the UN Digital Library. url_draft_ar String The URL of the PDF file containing the Arabic draft text. Hosted by the UN Digital Library. url_draft_en String The URL of the PDF file containing the English draft text. Hosted by the UN Digital Library. url_draft_es String The URL of the PDF file containing the Spanish draft text. Hosted by the UN Digital Library. url_draft_fr String The URL of the PDF file containing the French draft text. Hosted by the UN Digital Library. url_draft_ru String The URL of the PDF file containing the Russian draft text. Hosted by the UN Digital Library. 23 (continued) Variable Type Description url_draft_zh String The URL of the PDF file containing the Chinese draft text. Hosted by the UN Digital Library. url_meeting_ar String The URL of the PDF file containing the Arabic meeting record text. Hosted by the UN Digital Library. url_meeting_en String The URL of the PDF file containing the English meeting record text. Hosted by the UN Digital Library. url_meeting_es String The URL of the PDF file containing the Spanish meeting record text. Hosted by the UN Digital Library. url_meeting_fr String The URL of the PDF file containing the French meeting record text. Hosted by the UN Digital Library. url_meeting_ru String The URL of the PDF file containing the Russian meeting record text. Hosted by the UN Digital Library. url_meeting_zh String The URL of the PDF file containing the Chinese meeting record text. Hosted by the UN Digital Library. 24 5.8 Meta Variables Meta variables provide further information on the data set, including version, DOIs and licensing information. These document provenance and ensure compliance with FAIR Data Principles F1, F3 and R1.1. Variable Type Description doi_concept String The Digital Object Identifier (DOI) for the concept of the data set. Resolving this DOI via www.doi.org allows researchers to always acquire the latest version of the data set. The DOI is a persistent identifier suitable for stable longterm citation. Principle F1 of the FAIR Data Principles (‘data are assigned globally unique and persistent identifiers’) recommends the documentation of each data set with a persistent identifier and Principle F3 its inclusion with the metadata. Even if the CSV data set is transmitted without the accompanying Codebook this allows researchers to establish provenance of the data. Added by the dataset authors. doi_version String The Digital Object Identifier (DOI) for the specific version of the data set. Resolving this DOI via www.doi.org allows researchers to always acquire this specific version of the data set. The DOI is a persistent identifier suitable for stable long-term citation. Principle F1 of the FAIR Data Principles (‘data are assigned globally unique and persistent identifiers’) recommends the documentation of each data set with a persistent identifier and Principle F3 its inclusion with the metadata. Even if the CSV data set is transmitted without the accompanying Codebook this allows researchers to establish provenance of the data. Added by the dataset authors. license String The license for the data set. In this data set it is always Creative Commons Zero 1.0 Universal. Useful when merging individual rows with other data sets. Added by the dataset authors. version Date The version of the data set as a date in the form YYYY-MM-DD (ISO-8601). The version represents the date on which the data set creation process was begun. Added by the dataset authors. 25 (continued) Year Resolutions % Total % Cumulative 1961 10 0.36 6.08 1962 7 0.25 6.33 1963 8 0.29 6.61 1964 14 0.50 7.11 1965 20 0.71 7.83 1966 13 0.46 8.29 1967 12 0.43 8.72 1968 18 0.64 9.36 1969 13 0.46 9.83 1970 16 0.57 10.40 1971 16 0.57 10.97 1972 17 0.61 11.58 1973 20 0.71 12.29 1974 22 0.79 13.08 1975 18 0.64 13.72 1976 18 0.64 14.37 1977 20 0.71 15.08 1978 21 0.75 15.83 1979 18 0.64 16.48 1980 23 0.82 17.30 1981 15 0.54 17.83 1982 29 1.04 18.87 1983 17 0.61 19.48 1984 14 0.50 19.98 1985 21 0.75 20.73 1986 13 0.46 21.19 1987 13 0.46 21.66 1988 20 0.71 22.37 1989 20 0.71 23.09 1990 37 1.32 24.41 1991 42 1.50 25.91 1992 74 2.64 28.56 1993 93 3.32 31.88 32 (continued) Year Resolutions % Total % Cumulative 1994 77 2.75 34.63 1995 66 2.36 36.99 1996 57 2.04 39.03 1997 54 1.93 40.96 1998 73 2.61 43.57 1999 65 2.32 45.89 2000 50 1.79 47.68 2001 52 1.86 49.54 2002 68 2.43 51.97 2003 67 2.39 54.36 2004 59 2.11 56.47 2005 71 2.54 59.01 2006 87 3.11 62.12 2007 56 2.00 64.12 2008 65 2.32 66.44 2009 48 1.72 68.16 2010 59 2.11 70.26 2011 66 2.36 72.62 2012 53 1.89 74.52 2013 47 1.68 76.20 2014 63 2.25 78.45 2015 64 2.29 80.74 2016 77 2.75 83.49 2017 61 2.18 85.67 2018 54 1.93 87.60 2019 52 1.86 89.46 2020 57 2.04 91.49 2021 57 2.04 93.53 2022 54 1.93 95.46 2023 50 1.79 97.25 2024 46 1.64 98.89 2025 31 1.11 100.00 Total 2798 100.00 100.00 33 8.2 By Country Mentioned Western Sahara Afghanistan South Sudan Bosnia and Herzegovina Syrian Arab Republic Côte d'Ivoire Libya Angola Ireland United States Russian Federation Congo, The Democratic Republic of the Liberia South Africa Rwanda Lebanon Somalia France United Kingdom China Congo Cyprus Israel Sudan Iraq 0 50 100 150 200 Resolutions Country CR−UNSC | Version 2025−12−22 | Top 25 Countries mentioned Fobbe/Gasbarri/Ridi | DOI: 10.5281/zenodo.15154519 34 Country Resolutions % Total % Cumulative Afghanistan 83 1.30 1.30 Albania 23 0.36 1.66 Algeria 29 0.45 2.12 Andorra 1 0.02 2.13 Angola 105 1.65 3.78 Antigua and Barbuda 1 0.02 3.79 Argentina 19 0.30 4.09 Armenia 5 0.08 4.17 Australia 21 0.33 4.50 Austria 8 0.13 4.62 Azerbaijan 6 0.09 4.72 Bahamas 11 0.17 4.89 Bahrain 4 0.06 4.95 Bangladesh 4 0.06 5.01 Barbados 1 0.02 5.03 Belgium 30 0.47 5.50 Belize 1 0.02 5.52 Benin 17 0.27 5.78 Bhutan 1 0.02 5.80 Bonaire, Sint Eustatius and Saba 2 0.03 5.83 Bosnia and Herzegovina 95 1.49 7.32 Botswana 11 0.17 7.49 Brazil 3 0.05 7.54 Brunei Darussalam 1 0.02 7.55 Bulgaria 10 0.16 7.71 Burkina Faso 19 0.30 8.01 Burundi 72 1.13 9.14 Cabo Verde 1 0.02 9.15 Cambodia 17 0.27 9.42 Cameroon 18 0.28 9.70 35 (continued) Country Resolutions % Total % Cumulative Canada 22 0.34 10.04 Central African Republic 62 0.97 11.02 Chad 61 0.96 11.97 Chile 4 0.06 12.03 China 153 2.40 14.43 Colombia 34 0.53 14.96 Comoros 2 0.03 15.00 Congo 154 2.41 17.41 Congo, The Democratic Republic of the 118 1.85 19.26 Costa Rica 3 0.05 19.30 Croatia 67 1.05 20.35 Cuba 26 0.41 20.76 Cyprus 158 2.48 23.24 Côte d’Ivoire 102 1.60 24.84 Denmark 21 0.33 25.16 Djibouti 53 0.83 25.99 Dominica 6 0.09 26.09 Dominican Republic 4 0.06 26.15 Ecuador 3 0.05 26.20 Egypt 52 0.81 27.01 El Salvador 13 0.20 27.22 Equatorial Guinea 2 0.03 27.25 Eritrea 59 0.92 28.17 Estonia 2 0.03 28.20 Ethiopia 72 1.13 29.33 Falkland Islands (Malvinas) 2 0.03 29.36 Fiji 3 0.05 29.41 Finland 8 0.13 29.54 France 148 2.32 31.86 36 (continued) Country Resolutions % Total % Cumulative Gabon 17 0.27 32.12 Gambia 3 0.05 32.17 Georgia 42 0.66 32.83 Germany 48 0.75 33.58 Ghana 24 0.38 33.95 Greece 57 0.89 34.85 Grenada 1 0.02 34.86 Guatemala 4 0.06 34.93 Guinea 53 0.83 35.76 Guinea-Bissau 18 0.28 36.04 Guyana 7 0.11 36.15 Haiti 60 0.94 37.09 Honduras 3 0.05 37.14 Hungary 13 0.20 37.34 Iceland 1 0.02 37.36 India 61 0.96 38.31 Indonesia 30 0.47 38.78 Iran, Islamic Republic of 61 0.96 39.74 Iraq 217 3.40 43.14 Ireland 112 1.75 44.89 Israel 163 2.55 47.45 Italy 42 0.66 48.10 Jamaica 16 0.25 48.35 Japan 39 0.61 48.97 Jordan 32 0.50 49.47 Kazakhstan 4 0.06 49.53 Kenya 58 0.91 50.44 Kiribati 1 0.02 50.45 Korea, Democratic People’s Republic of 12 0.19 50.64 Korea, Republic of 41 0.64 51.28 37 (continued) Country Resolutions % Total % Cumulative Kuwait 65 1.02 52.30 Kyrgyzstan 3 0.05 52.35 Latvia 4 0.06 52.41 Lebanon 135 2.12 54.53 Lesotho 9 0.14 54.67 Liberia 122 1.91 56.58 Libya 104 1.63 58.21 Liechtenstein 2 0.03 58.24 Lithuania 1 0.02 58.26 Luxembourg 8 0.13 58.38 Madagascar 27 0.42 58.81 Malawi 4 0.06 58.87 Malaysia 19 0.30 59.17 Mali 51 0.80 59.97 Malta 13 0.20 60.17 Marshall Islands 2 0.03 60.20 Mauritania 17 0.27 60.47 Mauritius 13 0.20 60.67 Mexico 8 0.13 60.80 Micronesia, Federated States of 2 0.03 60.83 Moldova, Republic of 2 0.03 60.86 Monaco 1 0.02 60.87 Mongolia 4 0.06 60.94 Montenegro 34 0.53 61.47 Morocco 68 1.07 62.54 Mozambique 26 0.41 62.94 Myanmar 3 0.05 62.99 Namibia 48 0.75 63.74 Nauru 2 0.03 63.77 Nepal 11 0.17 63.95 New Zealand 2 0.03 63.98 38 (continued) Country Resolutions % Total % Cumulative Nicaragua 12 0.19 64.16 Niger 49 0.77 64.93 Nigeria 41 0.64 65.58 Northern Mariana Islands 1 0.02 65.59 Norway 18 0.28 65.87 Oman 3 0.05 65.92 Pakistan 61 0.96 66.88 Palau 3 0.05 66.92 Palestine, State of 76 1.19 68.11 Panama 8 0.13 68.24 Paraguay 2 0.03 68.27 Peru 3 0.05 68.32 Philippines 5 0.08 68.40 Poland 30 0.47 68.87 Portugal 40 0.63 69.49 Qatar 22 0.34 69.84 Romania 4 0.06 69.90 Russian Federation 116 1.82 71.72 Rwanda 133 2.08 73.80 Saint Kitts and Nevis 7 0.11 73.91 Saint Lucia 1 0.02 73.93 Samoa 1 0.02 73.94 San Marino 2 0.03 73.97 Sao Tome and Principe 1 0.02 73.99 Saudi Arabia 6 0.09 74.08 Senegal 23 0.36 74.44 Serbia 34 0.53 74.98 Seychelles 20 0.31 75.29 Sierra Leone 77 1.21 76.50 Singapore 3 0.05 76.54 39 (continued) Country Resolutions % Total % Cumulative Slovakia 1 0.02 76.56 Slovenia 4 0.06 76.62 Solomon Islands 1 0.02 76.64 Somalia 135 2.12 78.75 South Africa 126 1.97 80.73 South Sudan 93 1.46 82.18 Spain 24 0.38 82.56 Sri Lanka 8 0.13 82.69 Sudan 194 3.04 85.73 Sweden 24 0.38 86.10 Switzerland 14 0.22 86.32 Syrian Arab Republic 96 1.50 87.83 Tajikistan 24 0.38 88.20 Tanzania, United Republic of 46 0.72 88.92 Thailand 3 0.05 88.97 Timor-Leste 15 0.24 89.20 Togo 12 0.19 89.39 Tonga 1 0.02 89.41 Trinidad and Tobago 10 0.16 89.56 Tunisia 11 0.17 89.74 Turkmenistan 4 0.06 89.80 Tuvalu 1 0.02 89.82 Türkiye 61 0.96 90.77 Uganda 75 1.18 91.95 Ukraine 10 0.16 92.10 United Arab Emirates 5 0.08 92.18 United Kingdom 151 2.37 94.55 United States 113 1.77 96.32 Uruguay 2 0.03 96.35 Uzbekistan 6 0.09 96.44 40 (continued) Country Resolutions % Total % Cumulative Vanuatu 1 0.02 96.46 Venezuela, Bolivarian Republic of 4 0.06 96.52 Viet Nam 1 0.02 96.54 Virgin Islands, British 1 0.02 96.55 Western Sahara 78 1.22 97.77 Yemen 67 1.05 98.82 Zambia 38 0.60 99.42 Zimbabwe 37 0.58 100.00 Total 6382 100.00 100.00 41 8.6 Proportions of Votes Cast vote_no vote_yes vote_nonvote vote_abstention 0.00 0.25 0.50 0.75 1.00 0.00 0.25 0.50 0.75 1.00 0 1000 2000 0 1000 2000 Proportion of Votes Cast Resolutions CR−UNSC | Version 2025−12−22 | Voting Data Fobbe/Gasbarri/Ridi | DOI: 10.5281/zenodo.15154519 Variable Proportion N vote_nonvote 0.0000000 2625 vote_nonvote 0.0666667 62 vote_nonvote 0.0909091 12 vote_nonvote 0.1333333 15 vote_nonvote 0.1818182 1 vote_nonvote 0.2000000 3 vote_nonvote 0.2727273 1 vote_nonvote 1.0000000 79 vote_abstention 0.0000000 2325 48 (continued) Variable Proportion N vote_abstention 0.0666667 144 vote_abstention 0.0909091 41 vote_abstention 0.1333333 125 vote_abstention 0.1818182 37 vote_abstention 0.2000000 47 vote_abstention 0.2666667 25 vote_abstention 0.2727273 22 vote_abstention 0.3333333 17 vote_abstention 0.3636364 6 vote_abstention 0.4000000 9 vote_no 0.0000000 2755 vote_no 0.0666667 19 vote_no 0.0909091 12 vote_no 0.1333333 6 vote_no 0.1818182 4 vote_no 0.2000000 1 vote_no 0.2727273 1 vote_yes 0.0000000 79 vote_yes 0.6000000 10 vote_yes 0.6363636 13 vote_yes 0.6666667 20 vote_yes 0.7272727 23 vote_yes 0.7333333 29 vote_yes 0.8000000 65 vote_yes 0.8181818 45 vote_yes 0.8666667 130 vote_yes 0.9090909 34 vote_yes 0.9333333 178 vote_yes 1.0000000 2172 49 9 FAIR Data Conformity Declaration The FAIR Principles lay out an influential set of guiding standards for the management of scientific data. Four principles define the FAIR standard: [F]indability, [A]ccessibility [I]nteroperability and [R]eusability. It is the intention of the author(s) to be fully compliant with the FAIR standard. This conformity declaration is intended to provide further information on what measures have been taken to achieve this compliance. For the original publication proposing the FAIR standard, please see: Wilkinson, M. D. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci. Data 3:160018 doi: 10.1038/sdata.2016.18 (2016). 9.1 [F] Findable [F1] (Meta)data are assigned a globally unique and persistent identifier • The dataset and source code are published with Zenodo, a major scientific repository operated by CERN. • Zenodo issues a DOI for the dataset as a whole and a DOI for each individual version of the dataset and source code. [F2] Data are described with rich metadata (defined by R1 below) • Zenodo’s metadata is compliant with DataCite’s Metadata Schema minimum and recommended terms • The author(s) have provided significant metadata to augment the Zenodo record, such as a lengthy description, keywords, publication details, license, related works and contact details for the maintainer(s) [F3] Metadata clearly and explicitly include the identifier of the data they describe • Zenodo requires the DOI as a top-level and mandatory field in the metadata of each record [F4] (Meta)data are registered or indexed in a searchable resource •Metadata is indexed in and searchable via Zenodo •Metadata is indexed in and searchable via DataCite 9.2 [A] Accessible [A1] (Meta)data are retrievable by their identifier using a standardised communications protocol • Zenodo provides a public OAI-PMH interface to retrieve metadata of individual records and whole collections •Zenodo provides a public REST API to retrieve metadata of individual records [A1.1] The protocol is open, free, and universally implementable 50 • The OAI-PMH and REST APIs provided by Zenodo are based on open, free and universally implementable protocols [A1.2] The protocol allows for an authentication and authorisation procedure, where necessary • Zenodo provides all metadata publicly and without authentication under a public domain license [A2] Metadata are accessible, even when the data are no longer available • Zenodo guarantees that metadata remain available for the lifetime of the parent organization CERN, which has a defined experimental program for the next 20 years •Metadata are stored in different servers than the data at Zenodo • Zenodo commits to providing a “data tombstone” of the record that contains all metadata even if data becomes unavailable for legal or other reasons 9.3 [I] Interoperable [I1] (Meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation • Zenodo metadata is internally stored as JSON and can be exported to MARCXML, Dublin Core XML, CSL, DataCite JSON, DataCite XML, BibTeX, GeoJSON and DCAT [I2] (Meta)data use vocabularies that follow FAIR principles • Zenodo refers to external vocabularies for license (Open Definition), funders (FundRef) and grants (OpenAIRE) [I3] (Meta)data include qualified references to other (meta)data • The CR-UNSC embeds the Concept DOI and Version DOI for the relevant Zenodo record in the CSV dataset and the Codebook • The CR-UNSC includes the unique URL for the resolution text in all six UN languages, the URL for the draft and meeting record in English and the URL for the UN Digital Library record pages of the resolution, draft and meeting record. UN Digital Library record pages provide machine-readable metadata in a wide range of export formats. 9.4 [R] Reusable [R1] (Meta)data are richly described with a plurality of accurate and relevant attributes [R1.1] (Meta)data are released with a clear and accessible data usage license • Zenodo metadata includes standardized representations of each license compliant with the OpenDefinition standard •The CR-UNSC data is published under a standardized Creative Commons CC0 1.0 waiver • The CR-UNSC source code is published under a standardized GNU GPL v3 license •The CR-UNSC embeds the data license in the CSV file and in the Codebook 51 [R1.2] (Meta)data are associated with detailed provenance • The CR-UNSC embeds the Concept DOI and Version DOI for the relevant Zenodo record in the CSV dataset and the Codebook • The CR-UNSC includes the unique URL for the resolution text in all six UN languages, the URL for the draft and meeting record in English and the URL for the UN Digital Library record pages of the resolution, draft and meeting record [R1.3] (Meta)data meet domain-relevant community standards • The CR-UNSC was crafted by specialized international lawyers, complies with international law terminology and respects international legal usage wherever possible •The CR-UNSC respects United Nations terminology and United Nations document symbols •The CR-UNSC adapts all metadata conventions from the UN Digital Library • The CR-UNSC complies with ISO and UN M49 standards for country and area codes 52 10 Cryptographic Signatures 10.1 Two Phase Signature The integrity and veracity of the ZIP archives and other output of the data set are guaranteed with two-phase hash-and-sign signature process. In Phase I the data pipeline automatically computes digital fingerprints (hashes) with two different secure algorithms (SHA2-256 und SHA3-512) and stores these in a CSV file. In Phase II the CSV files with hashes is manually signed with a secret GPG key. This process ensures that the compilation of the data set can be performed by anyone, such as in scientific replication studies, but provides the same guarantees as signing the full data set would. 10.2 Personal GPG Key The CSV file is signed with the personal GPG key of the first author. The public key is included with the data set and source code publication on Zenodo, as well as the project GitHub repository. The key is identified as follows: Name: Sean Fobbe ([email protected]) Fingerprint: FE6F B888 F0E5 656C 1D25 3B9A 50C4 1384 F44A 4E42 53 11 Changelog 11.1 Version 2025-12-22 11.1.1 Data •Full recompilation of dataset with most recent data up to UNSC resolution 2798 • OCR content fixes in 108 lines of 36 gold-standard files (courtesy of Kilian Lüders and Hannah Birkenkötter) 11.1.2 New Features and Improvements •Dataset now available in Parquet format •Improved detection of citations to UNGA special and emergency sessions •Number of countries and subjects in bar charts reduced to 25 for better readability •New test for completeness of TXT conversion 11.1.3 Bug Fixes •Set timezone of Docker container to America/New York •Text variables are properly removed from the metadata only variant •Repair parsing of html main and vote records •Fix Quanteda parallelization •Show resolution number instead of doc_id in quality check of short resolutions • Increased OCR range for Chinese resolutions up to and inclusing res 1292 to capture content of ~360 documents •Set general OCR inclusion range up to and including res 902 11.1.4 Refactoring and Dependencies •Refactored citation extraction to simplify and update deprecated functions •Simplify cleanup script with git clean, add Dockerized version •Remove docker build script, added build instructions to README •Simplify docker run script with docker-compose •R core upgraded to version 4.4.0 (mitigate CVE-2024-27322) •R packages version-locked to CRAN date 2024-06-13 •R package requirements now in plaintext file •Tesseract upgraded to version 5.5.1 11.2 Version 2024-05-19 •Full recompilation of dataset with most recent data up to UNSC resolution 2722 • New variant: EN_TXT_BEST containing a write-out of the English resolution texts equivalent to the CSV file text variable • New diagrams: bar charts of top M49 regions and sub-regions of countries mentioned in resolution texts •Fixed naming mix-up of BIBTEX and GRAPHML zip archives • Fixed whitespace character detection in citation extraction (adds ca. 10% more citations) •Fixed improper merging of weights in citation network •Fixed “cannot xtfrm data frames” warning 54 •Improve REGEX detection for certain geographic entities •Improve Codebook (headings, citation network docs) 11.3 Version 2024-05-03 •Initial Release 55 12 Replication Parameters ## [1] "OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)" ## R version 4.4.0 (2024-04-24) ## Platform: x86_64-pc-linux-gnu ## Running under: Ubuntu 22.04.5 LTS ## ## Matrix products: default ## BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3 ## LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so; LAPACK version 3.10.0 ## ## locale: ## [1] LC_CTYPE=en_US.utf8 LC_NUMERIC=C ## [3] LC_TIME=en_US.utf8 LC_COLLATE=en_US.utf8 ## [5] LC_MONETARY=en_US.utf8 LC_MESSAGES=en_US.utf8 ## [7] LC_PAPER=en_US.utf8 LC_NAME=C ## [9] LC_ADDRESS=C LC_TELEPHONE=C ## [11] LC_MEASUREMENT=en_US.utf8 LC_IDENTIFICATION=C ## ## time zone: America/New_York ## tzcode source: system (glibc) ## ## attached base packages: ## [1] stats graphics grDevices utils datasets methods base ## ## other attached packages: ## [1] data.table_1.15.4 future.apply_1.11.2 ## [3] future_1.33.2 textcat_1.0-8 ## [5] quanteda.textplots_0.94.4 quanteda.textstats_0.97 ## [7] quanteda_4.0.2 stringi_1.8.4 ## [9] readtext_0.91 pdftools_3.4.0 ## [11] RColorBrewer_1.1-3 viridis_0.6.5 ## [13] viridisLite_0.4.2 magick_2.8.3 ## [15] scales_1.3.0 igraph_2.0.3 ## [17] ggraph_2.2.1 ggplot2_3.5.1 ## [19] kableExtra_1.4.0 knitr_1.47 ## [21] rvest_1.0.4 testthat_3.2.1.1 ## [23] zip_2.3.1 RcppTOML_0.2.2 ## [25] tarchetypes_0.9.0 targets_1.7.0 ## ## loaded via a namespace (and not attached): ## [1] gridExtra_2.3 rlang_1.1.4 magrittr_2.0.3 ## [4] compiler_4.4.0 systemfonts_1.1.0 callr_3.7.6 ## [7] vctrs_0.6.5 stringr_1.5.1 pkgconfig_2.0.3 ## [10] fastmap_1.2.0 backports_1.5.0 ISOcodes_2024.02.12 ## [13] labeling_0.4.3 utf8_1.2.4 rmarkdown_2.27 ## [16] ps_1.7.6 bit_4.0.5 purrr_1.0.2 ## [19] waldo_0.5.2 xfun_0.44 cachem_1.1.0 ## [22] bib2df_1.1.2.0 tweenr_2.0.3 parallel_4.4.0 ## [25] stopwords_2.3 R6_2.5.1 qs_0.26.3 ## [28] parallelly_1.37.1 pkgload_1.3.4 brio_1.1.5 56 ## [31] assertthat_0.2.1 nsyllable_1.0.1 Rcpp_1.0.12 ## [34] Matrix_1.7-0 tidyselect_1.2.1 rstudioapi_0.16.0 ## [37] yaml_2.3.8 stringfish_0.16.0 humaniformat_0.6.0 ## [40] codetools_0.2-20 processx_3.8.4 listenv_0.9.1 ## [43] qpdf_1.3.3 lattice_0.22-6 tibble_3.2.1 ## [46] withr_3.0.0 askpass_1.2.0 evaluate_0.24.0 ## [49] desc_1.4.3 RcppParallel_5.1.7 polyclip_1.10-6 ## [52] xml2_1.3.6 pillar_1.9.0 tau_0.0-25 ## [55] generics_0.1.3 rprojroot_2.0.4 munsell_0.5.1 ## [58] RApiSerialize_0.1.3 globals_0.16.3 base64url_1.4 ## [61] glue_1.7.0 slam_0.1-50 tools_4.4.0 ## [64] fs_1.6.4 graphlayouts_1.1.1 fastmatch_1.1-4 ## [67] tidygraph_1.3.1 grid_4.4.0 tidyr_1.3.1 ## [70] colorspace_2.1-0 ggforce_0.4.2 cli_3.6.2 ## [73] fansi_1.0.6 arrow_16.1.0 svglite_2.1.3 ## [76] dplyr_1.1.4 countrycode_1.6.0 gtable_0.3.5 ## [79] digest_0.6.35 ggrepel_0.9.5 farver_2.1.2 ## [82] memoise_2.0.1 htmltools_0.5.8.1 lifecycle_1.0.4 ## [85] httr_1.4.7 secretbase_0.5.0 bit64_4.0.5 ## [88] MASS_7.3-60.2 57