cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/eavbip
title: Replication Data for Table 1 in Locke et al. (2019): Three Global Conditions

description: &lt;p&gt;This file contains global data enabling the replication of Table 1 in Locke et al. (2019).&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;p&gt;This is a .CSV file with estimates for each global grid cell (DGG cell) in the Three Global Conditions Map. 
&lt;p&gt;&lt;/p&gt;
&lt;p&gt;The statistics in Table 1 can be estimated by summarizing these data across all grid cells. To use these data in a GIS, this file may be joined to the DGG shapefile provided in &lt;a href="https://dataverse.harvard.edu/dataverse/3GC"&gt; The Three Global Conditions Dataverse&lt;/a&gt;: three_conditions_v4_map_only.shp on the field "L1_ID" (a unique integer code for each DGG cell).&lt;/p&gt;

&lt;p&gt;Full details, including appropriate citations for all data are in the Metadata Document: three_global_conditions_table_1_metadata_2020_08_06.pdf&lt;/p&gt;
DOI: 10.7910/dvn/fdx7sc
title: Replication Data for: Capuchin monkeys (Sapajus [Cebus] apella) are more susceptible to contrast than to decoy and social context effects

description: Raw data for Watzek & Brosnan
DOI: 10.7910/dvn/mp3hqu
title: Replication Data for: "How Partisanship and Sexism Influence Voters’ Reactions to #MeToo Scandals"

description: This provides replication data and R code for "How Partisanship and Sexism Influence Voters’ Reactions to #MeToo Scandals" to be published in Research & Politics. Please review the readme.pdf file for a description of the replication materials.

Abstract: Influential theories of motivated reasoning, as well as real-world anecdotal examples, would suggest that voters do not always penalize legislators from their own party for alleged immoral behavior, such as sexual harassment. But very little empirical evidence exists on how voters react to sexual misconduct allegations, especially since the start of the #MeToo movement. We examine how partisanship and sexist attitudes shape individuals’ reactions to sexual harassment allegations about a politician. Using a pretest-posttest online experiment, we randomize both the party affiliation of the accused legislator as well as the severity of the allegations. Overall, we find some evidence of partisan bias, but that there may be a limit. Subjects were more forgiving of an accused co-partisan legislator than a legislator of the opposing party in their overall evaluation and their perceptions of punitive repercussions, but their levels of electoral support decreased just as much for co-partisans as they did for opposing partisans. Importantly, these reactions are strongly conditioned by sexism; as subjects’ levels of sexism increase, the otherwise large and negative effect of allegations on evaluations of favorability and electoral support disappears.
DOI: 10.7910/dvn/sjxaki
title: A15_28628.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/269eae4e-78a5-4e71-b6a7-6ee596e847ce'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/269eae4e-78a5-4e71-b6a7-6ee596e847ce
DOI: 10.7910/dvn/7190mt
title: Replication Data for: All Male Panels? Representation and Democratic Legitimacy

description: What does women’s presence in political decision-making bodies signal to citizens? Do these signals differ based on the body’s policy decisions? And do women and men respond to women’s presence similarly? Though scholars have demonstrated the substantive and symbolic benefits of women’s representation, little work has examined how women’s presence affects citizens’ perceptions of democratic legitimacy. We test the relationship between representation and legitimacy beliefs through survey experiments on a nationally representative sample of U.S. citizens. First, we find that women’s equal presence legitimizes decisions that go against women’s interests. We show suggestive evidence that this effect is particularly pronounced among men, who tend to hold less certain views on women’s rights. Second, across decision outcomes and issue areas, women’s equal presence legitimizes decision-making processes and confers institutional trust and acquiescence. These findings add new theoretical insights into how, when, and for whom inclusive representation increases perceptions of democratic legitimacy.
description: This dataset underwent an independent verification process that replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of code. The verification process was carried out by the Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill. 
<br>
The associated article has been awarded Open Materials and Open Data Badges. Learn more about the Open Practice Badges from the Center for Open Science.<br>
DOI: 10.7910/dvn/qylv2b
title: Executive Agreements Database, Statement Regarding Agreement Between The United States and The Russian Federation Concerning Cooperation In The Elimination Of Strategic Offensive Arms (ESOA) Signed At Moscow August 30, 2002

description: KAV 6078

First signed 08/30/2002
Last signed 08/30/2002
Entry into force (supplemented by last signed) 08/30/2002

stamped 02-92

C06542334

cover memo
DOI: 10.7910/dvn/snwaso
title: Data for "Breaking Status-quo Inertial Use of Incumbent Payment to Adopt Mobile Payment: A Contingency Perspective"

description: Data for the paper titled "Breaking Status-quo Inertial Use of Incumbent Payment to Adopt Mobile Payment: A Contingency Perspective"
DOI: 10.7910/dvn/tjmsmd
title: Replication Data for: Ideological Signaling and Incumbency Advantage

description: Replication data and code for "Ideological Signaling and Incumbency Advantage"
DOI: 10.7910/dvn/ajvln6
title: Replication Data for: Psychometric properties of the 21-item Depression, Anxiety, and Stress Scale (DASS-21) among Malaysians during COVID-19: a methodological study

description: This dataset contains the data related to the DASS-21 questionnaire from samples of the Malaysian population, originated for the study titled "Psychometric properties of the 21-item Depression, Anxiety, and Stress Scale (DASS-21) among Malaysians during COVID-19: a methodological study".
DOI: 10.7910/dvn/ev9eu
title: House Unpassed Legislation 1849, Docket 2343, SC1/series 230, Petition of David B. Bartlett

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:11029670"&gt;http://nrs.harvard.edu/urn-3:FHCL:11029670&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: Massachusetts &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: George W. Greene, Milton; committee on the judiciary &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;David B. Bartlett&lt;/li&gt;&lt;li&gt;John Clement&lt;/li&gt;&lt;li&gt;Franklin Williams&lt;/li&gt;&lt;li&gt;William P. Peakes&lt;/li&gt;&lt;li&gt;James N. Buffum&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1849-03-01 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the House on March 1, 1849 and referred to the committee on the judiciary &lt;/p&gt; &lt;p&gt;Total signatures: 6 &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): 6 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: inhabitants, legal voters &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;Additional non-petition or unrelated documents available at archive: no additional documents &lt;/p&gt; &lt;p&gt;Additional archivist notes: Towns next to names including Townsend, Roxbury, Dorchester, Lynn &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/mzann5
title: Developing Historical Geographic Information Systems for Japan

description: The historical GIS layers for the Tokugawa Period (circa 1664 and 1820) were developed for presentation at CEAL, Japanese Librarians Meeting, 2004. This
paper will briefly outline existing examples of Japan Historical GIS, the methodology used to develop our demonstration GIS, and the means of searching the data online.
DOI: 10.7910/dvn/u16nei
title: Replication data for: Barriers to Entry: Who Builds Fortified Boundaries and Why?

description: ZIP archive containing a Stata dataset, State code, brief instructions, and an appendix not included in the printed article.
DOI: 10.7910/dvn/72f33a
title: Training data for neural parameterization of the Lorenz 1980 model in a regime with energetic fast oscillations

description: The provided data is the solution of the Lorenz 1980 model in the parameter regime specified in Appendix A of the article "The High-Frequency and Rare Events Barriers to Neural Closures of Atmospheric Dynamics" by Mickael D. Chekroun, Honghu Liu, Kaushik Srinivasan, and James C. McWilliams, 2023. The first 1344000 time steps of the data (corresponding to a time window of length 700 days) are used as the training data to obtain the two neural parameterizations called NN1 and NN2 in this article.
DOI: 10.7910/dvn/nz0qs
title: House Unpassed Legislation 1858, Senate laid on the table, SC1/series 230, Petition of Alonzo White

description: &lt;p&gt;Petition subject: Removal of Edward Greeley Loring &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:11029756"&gt;http://nrs.harvard.edu/urn-3:FHCL:11029756&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: Leicester &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Alonzo White&lt;/li&gt;&lt;li&gt;Preston Cummings&lt;/li&gt;&lt;li&gt;Samuel Southgate&lt;/li&gt;&lt;li&gt;Samuel May Jr.&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Total signatures: 86 &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 57 &lt;/p&gt; &lt;p&gt;Female signatures: 19 &lt;/p&gt; &lt;p&gt;Other male signatures: 6 &lt;/p&gt; &lt;p&gt;Unidentified signatures: 4 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: citizens, legal voters, [females], [other males], ["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 1858, laid on the table &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/rbw801
title: IFPRI-CCAFS Gender and Climate Change Survey Data: Wote, Kenya

description: The IFPRI-CCAFS Gender and Climate Change Survey data were collected in four sites in Africa south of the Sahara in early 2013 as part of the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) under the project
 "Increasing Women’s Resilience to Confront Climate Change." It aimed to enhance understanding of gendered climate change perceptions, impacts, adaptation and coping strategies, as well as the constraints to adaptation within selected CCAFS baseline sites in Kenya, Senegal, and Uganda. Specifically, the survey was designed to answer questions such as:&lt;/p&gt;

&lt;p&gt;• How do men and women perceive climate change and, particularly, the livelihood risks associated with climate change?&lt;/p&gt;
&lt;p&gt;• What are the gender disparities in access to and control over assets and how and to what degree does the disparity in assets affect how men and women experience climate shocks and change?&lt;/p&gt;
&lt;p&gt;• How and to what degree does asset disparity determine how men and women respond to climate shocks and change?&lt;/p&gt;
&lt;p&gt;• Which coping strategies and adaptation options are favored by women and men, respectively, and why?&lt;/p&gt;

&lt;p&gt;The survey collected detailed gender-disaggregated data on these issues to inform strategies to increase climate change resilience among both women and men. The gender survey contained 13 modules, posing questions at the household and individual levels. These modules are: 1) a household roster; 2) sketch of the farm (pre-populated from a previous survey—IMPACT Lite); 3) land ownership, management, and decision making; 4) decision-making authority on agricultural, livestock, and household decisions; 5) adoption and knowledge of climate-smart agriculture practices; 6) access to and use of climate and agricultural information services; 7) access to and use of credit; 8) membership in groups; 9) fuel and water use; 10) experience with climate shocks and coping strategies; 11) perception of climate change and its potential impacts; 12) identification of adaptation strategies; and 13) cognitive decision-making and personal values questions. &lt;/p&gt;

&lt;p&gt;Four sets of data are generated from the survey conducted in four sites-Nyando and Wote in Kenya, Rakai in Uganda, and Kaffrine in Senegal. This study contains data from Wote. Data from other sites can be accessed by visiting the following studies. &lt;/p&gt;

&lt;p&gt;&lt;a href="https://doi.org/10.7910/DVN/JU7QP6"&gt;IFPRI-CCAFS Gender and Climate Change Survey Data: Nyando, Kenya&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;a href="https://doi.org/10.7910/DVN/VA2MER"&gt;
IFPRI-CCAFS Gender and Climate Change Survey Data: Kaffrine, Senegal&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;a href=" https://doi.org/10.7910/DVN/CBVLK5"&gt; IFPRI-CCAFS Gender and Climate Change Survey Data: Rakai, Uganda&lt;/a&gt;&lt;/p&gt;
description: Household- and Community-level Surveys
description: STATA, 12
description: STATA, 13
DOI: 10.7910/dvn/xykqkm
title: rf_polysomnography_respiration_data_02

description: This dataset contains the raw RF measurements, polysomnography, and patient data gathered during day 02 of a 20-day study. All patient data has been anonymized.
&lt;br&gt;&lt;br&gt;
We are pleased to have other researchers make use of this data for their own algorithm development and understanding of respiratory monitoring with RF devices. We ask that you cite the following article if you make use of this data in your research.
&lt;br&gt;&lt;br&gt;
&lt;blockquote&gt;
P. Hillyard, A. Luong, A. S. Abrar, N. Patwari, K. Sundar, R. Farney, J. Burch, C. A. Porucznik, and S. H. Pollard. “Experience: Cross-Technology Radio Respiratory Monitoring Performance Study”. In Proceedings of the 24th Annual International Conference on Mobile Computing and Networking (MobiCom 2018), New Delhi, India, to appear, 29 Oct. 2018. &lt;/blockquote&gt;
&lt;br&gt;&lt;br&gt;
Links to all 20 days of data:
&lt;br&gt;&lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/X7AYXQ"&gt;Dataset for day00&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/LFXTTU"&gt;Dataset for day01&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/XYKQKM"&gt;Dataset for day02&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/8B9XUH"&gt;Dataset for day03&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/NWBCOX"&gt;Dataset for day04&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/FPAL1E"&gt;Dataset for day05&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/FATPSG"&gt;Dataset for day06&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/663ZBN"&gt;Dataset for day07&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/BIISSK"&gt;Dataset for day08&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/0NTCW4"&gt;Dataset for day09&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/4WXAPS"&gt;Dataset for day10&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/6PYP1T"&gt;Dataset for day11&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/TUXIHV"&gt;Dataset for day12&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/RB51U7"&gt;Dataset for day13&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/ESBCCX"&gt;Dataset for day14&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/HFCNV8"&gt;Dataset for day15&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/ATX7SB"&gt;Dataset for day16&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/WE0BMU"&gt;Dataset for day17&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/H5MYRD"&gt;Dataset for day18&lt;/a&gt; &lt;br&gt;
&lt;a href="https://doi.org/10.7910/DVN/3JJMQR"&gt;Dataset for day19&lt;/a&gt;
DOI: 10.15468/dl.cxs996
title: Occurrence Download

description: A dataset containing 49946 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Micrococcaceae"
 ]
}

 The dataset includes 49946 records from 524 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017792-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/6zppt1
title: A00_13769.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/527a3d53-15f1-4bad-9724-21ca041fb592'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/527a3d53-15f1-4bad-9724-21ca041fb592
DOI: 10.7910/dvn/ajlo8j
title: When Politicians Behave Badly: Political, Democratic, and Social Consequences of Political Incivility

description: Many citizens find politics too uncivil, and incivility is often considered a source of political disaffection. However, research studying these effects almost exclusively relies on survey experiments, which yield contrasting results depending on design choices and do not study downstream consequences for satisfaction with democracy and compliance with public policy. We present a theoretical argument on these downstream consequences and study how citizens respond to political incivility in their real-life information environment using a multi-wave survey panel of 6,055 Danish citizens with 18,805 interviews spanning 18 months. Using generalized difference-in-differences models and a natural experiment, we demonstrate non-trivial adverse effects of political incivility on political trust, satisfaction with democracy, and intentions to comply with policies, while intentions to vote are unaffected. Our results highlight how elite rhetoric shapes support for the political system and policy compliance and pinpoint the potential and pitfalls of survey experiments and our own panel approach.
description: This dataset underwent an independent verification process, complying with the AJPS Verification Policy updated June 2023, which replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of the code. The verification process was carried out by the Cornell Center for Social Sciences at Cornell University. 
<br>
 
The associated article has been awarded the Open Materials Badge. Learn more about the Open Practice Badges from the Center for Open Science. 
<br>


<br>
Open Materials Badge
DOI: 10.7910/dvn/e3qy4u
title: Replication Data for: Dataset "P3Numbers_20150204_m_12_005" available at http://eegdatabase.kiv.zcu.cz/experiments-detail?DEFAULT_PARAM_ID=674

description: Guess the number is a simple P300-based brain-computer interface experiment. Its aim is to ask the measured participant to pick a number between 1 and 9. Then, he or she is exposed to corresponding visual stimuli and experimenters try to guess the number thought while observing event-related potential waveforms on-line. 250 school-age children participated in the experiments that were carried out in elementary and secondary schools in the Czech Republic. Electroencephalographic data from three EEG channels (Fz, Cz, Pz) and stimuli markers were stored. Additional metadata about the participants were collected (gender, age, the number thought by the participant, the guess of the experimenters, and various interesting additional information). The data are stored in the Brain Vision format.
description: Presentation, 18.1
description: Brain Vision Recorder, 1.20.0001
description: All data and metadata in this dataverse can be downloaded as an experimental package named "PROJECT DAYS P3 NUMBERS" that is available at https://eegdatabase.kiv.zcu.cz in section "All experiments"
DOI: 10.7910/dvn/pgvdhx
title: Replication Data for: HoaxItaly: a collection of Italian disinformation and fact-checking stories shared on Twitter in 2019

description: Replication Data for: HoaxItaly: a collection of Italian disinformation and fact-checking stories shared on Twitter in 2019. Pierri, Artoni, Ceri

We release 1.2 million tweets shared during 2019 and containing links to thousands of news articles published on two classes of Italian outlets: (1) disinformation websites, i.e. outlets which have been repeatedly flagged by journalists and fact-checkers for producing low-credibility content such as false news, hoaxes, click-bait, misleading and hyper-partisan stories; (2) fact-checking websites which notably debunk and verify online news and claims.
DOI: 10.7910/dvn/phgk7c
title: Navigating Paris Digitally: an Exploratory Research of 360 º Immersive Videos

description: The data collected refers to an experiential activity enabling participants to virtually visit the Eiffel Tower and cycle through Parisian suburbs through 360º videos displayed in a Head-Mounted display (HMD) headset (first-generation HTC Vive). 
The activity was programmed to enable an adaptation of VR technology and to exceed expectations with an adventure and physical exercise divided into four moments: 
Part 1 was the Eiffel Tower visit through 360º video (Available at: https://youtu.be/HNApxhvK1Hg);
Part 2 was centered on a semi-structured group conversation to check the mood of the participants; 
Part 3 focused on a Paris Suburbs Cycling tour through 360º videos (Available at: https://youtu.be/tI3bKRRMAKA); 
Part 4 ended with some experience evaluation and feedback, where the participants filled out a questionnaire developed based on the technology Acceptance Model of Barsasella and colleagues (2023) to evaluate the experience (variables Q1 to Q13).
Moreover, throughout the experience, Parisian music was played in the background to set the mood (Available at: https://youtu.be/tkjlYxUf4-M).
This experiment involved two distinct groups (variable Group), institutionalized adults (GI-Institutionalize) and active individuals (GA-Active), totaling 114 participants.
DOI: 10.7910/dvn/thxl2h
title: A04_13991.JPG

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/ad721b92-b5dc-f246-1207-34888fd524a7'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/ad721b92-b5dc-f246-1207-34888fd524a7
DOI: 10.7910/dvn/702mlk
title: A00_13162.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/c12ff45e-2fa1-de5e-de22-628187780fd1'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/c12ff45e-2fa1-de5e-de22-628187780fd1