<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-16T22:40:50Z</responseDate><request verb="ListRecords" metadataPrefix="oai_dc" set="boston_college">https://dataverse.harvard.edu/oai</request><ListRecords><record><header><identifier>doi:10.7910/DVN/1RJYZT</identifier><datestamp>2025-04-15T19:50:30Z</datestamp><setSpec>boston_college</setSpec></header><metadata><oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:title>Detrended GPS Total Electron Content Data over South America - Year 2011</dc:title><dc:identifier>https://doi.org/10.7910/DVN/1RJYZT</dc:identifier><dc:creator>Pradipta, Rezy</dc:creator><dc:publisher>Harvard Dataverse</dc:publisher><dc:description>Detrended GPS total electron content (TEC) data over the South American sector based on measurements from LISN network conducted in 2011.  The GPS TEC data were detrended using a special numerical technique described in Pradipta et al. (2015) [https://doi.org/10.1002/2015JA021723].  The GPS TEC data detrending process was performed along the ionospheric piercing point (IPP) trajectory during individual GPS satellite passes.  The detrended GPS TEC values were subsequently transferred from the IPPs onto regular longitude/latitude grid via a form of inverse-distance weighted (IDW) average.  When equatorial plasma bubbles (EPBs) are present in the nighttime low-latitude ionosphere, they become visible as regions with highly depleted TEC (i.e. significantly negative deltaTEC values).  The detrended TEC data are stored in MATLAB *.mat files.  Each *.mat file consists of several variables: a string variable "label1" denoting the year and day-of-year (e.g. 'year=2011 doy=171'); a 1 x 476 array "time_save" of UTC grid (in seconds-of-the-day); a 1 x 501 array "lon_save" of longitude grid (in degrees); a 1 x 551 array "lat_save" of latitude grid (in degrees); and a 551 x 501 x 476 array "vq_save" of deltaTEC values (in TECU).</dc:description><dc:subject>Astronomy and Astrophysics</dc:subject><dc:subject>Earth and Environmental Sciences</dc:subject><dc:subject>Physics</dc:subject><dc:date>2023-09-29</dc:date><dc:contributor>Pradipta, Rezy</dc:contributor><dc:type>Dataset</dc:type></oai_dc:dc></metadata></record><record><header><identifier>doi:10.7910/DVN/2AUVAI</identifier><datestamp>2025-04-15T19:50:30Z</datestamp><setSpec>boston_college</setSpec></header><metadata><oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:title>Diplomatic Revocation Index</dc:title><dc:identifier>https://doi.org/10.7910/DVN/2AUVAI</dc:identifier><dc:creator>McCaffrey, Olivia</dc:creator><dc:publisher>Harvard Dataverse</dc:publisher><dc:description>This dataset supplements my senior thesis project, "Silent Statecraft: The Revocation of Ambassadors as a Diplomatic Tool." The information in this dataset comes from media coverage and government records from all 195 states, as well as some extant states (like Yugoslavia and Czechoslovakia), disputed territories (like Taiwan) and non-state actors that receive ambassadors (like the European Union and the United Nations). &#xd;
&#xd;
Along with the sending and receiving state in question,  I also document the reason for revocation, year(s) it took place, media sources that cover the quarrel; and whether (and if so, after how long) diplomatic ties were reinstated. Most importantly, the index catalogues the overarching political narrative surrounding the dispute and systematizes each a the three-tiered structure based on the revocation’s political significance and level of associated international actions.</dc:description><dc:subject>Social Sciences</dc:subject><dc:subject>Diplomat</dc:subject><dc:subject>Ambassador</dc:subject><dc:subject>Revocation</dc:subject><dc:subject>Recall</dc:subject><dc:date>2017-05-08</dc:date><dc:contributor>McCaffrey, Olivia G</dc:contributor><dc:type>Dataset</dc:type></oai_dc:dc></metadata></record><record><header><identifier>doi:10.7910/DVN/3028UI</identifier><datestamp>2026-02-20T00:58:49Z</datestamp><setSpec>boston_college</setSpec></header><metadata><oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:title>The Extended IRAS/LRS Atlas</dc:title><dc:identifier>https://doi.org/10.7910/DVN/3028UI</dc:identifier><dc:creator>Sloan, G. C.</dc:creator><dc:creator>Kraemer, Kathleen E.</dc:creator><dc:creator>Volk, K.</dc:creator><dc:publisher>Harvard Dataverse</dc:publisher><dc:description>This dataset contains an updated atlas of spectra from the Low-Resolution Spectrometer (LRS) on the Infrared Astronomical Satellite (IRAS), which took spectra from 7.67 to 22.73 μm with a spectral resolving power of 20–60. The updated atlas includes 11,238 spectra, including 5,425 spectra published in the original LRS Atlas, 5,796 spectra published in three later papers, and 17 spectra previously available online but not published. Each spectrum is provided in IPAC-table format.</dc:description><dc:subject>Astronomy and Astrophysics</dc:subject><dc:date>2025-04-25</dc:date><dc:contributor>Kraemer, Kathleen E</dc:contributor><dc:type>Dataset</dc:type></oai_dc:dc></metadata></record><record><header><identifier>doi:10.7910/DVN/4OOOZF</identifier><datestamp>2025-04-15T19:50:30Z</datestamp><setSpec>boston_college</setSpec></header><metadata><oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:title>Employers and Older Workers: CRR Survey Data. 2006</dc:title><dc:identifier>https://doi.org/10.7910/DVN/4OOOZF</dc:identifier><dc:creator>Boston College. Center for Retirement Research</dc:creator><dc:publisher>Harvard Dataverse</dc:publisher><dc:description>To get a better understanding of the employment prospects of older workers, the Center for Retirement Research has conducted two surveys of 400 private-sector for-profit and non-profit employers. The surveys were conducted by telephone by Matthew Greenwald &amp; Associates. Below, you may access the questionnaire, results, and raw data from both surveys.</dc:description><dc:subject>Social Sciences</dc:subject><dc:subject>Retirement plans</dc:subject><dc:subject>Retirement</dc:subject><dc:subject>Employers</dc:subject><dc:subject>Productivity</dc:subject><dc:subject>Older Workers</dc:subject><dc:date>2016-12-01</dc:date><dc:contributor>Mento, Barbara</dc:contributor><dc:type>Dataset</dc:type></oai_dc:dc></metadata></record><record><header><identifier>doi:10.7910/DVN/6BAMHR</identifier><datestamp>2025-04-15T19:50:30Z</datestamp><setSpec>boston_college</setSpec></header><metadata><oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:title>Data from sediment cores and surveys of Ossipee Lake, New Hampshire, USA</dc:title><dc:identifier>https://doi.org/10.7910/DVN/6BAMHR</dc:identifier><dc:creator>Noah P. Snyder</dc:creator><dc:creator>Timothy L. Cook</dc:creator><dc:creator>James LeNoir</dc:creator><dc:publisher>Harvard Dataverse</dc:publisher><dc:description>Data from sediment cores and surveys of Ossipee Lake, New Hampshire, USA</dc:description><dc:subject>Earth and Environmental Sciences</dc:subject><dc:date>2022-02-09</dc:date><dc:contributor>Snyder, Noah P</dc:contributor><dc:type>Dataset</dc:type></oai_dc:dc></metadata></record><record><header><identifier>doi:10.7910/DVN/99WDVK</identifier><datestamp>2025-04-15T19:50:30Z</datestamp><setSpec>boston_college</setSpec></header><metadata><oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:title>SMC-Last Point Sources</dc:title><dc:identifier>https://doi.org/10.7910/DVN/99WDVK</dc:identifier><dc:creator>Kuchar, T. A.</dc:creator><dc:creator>Sloan, G. C.</dc:creator><dc:creator>Mizuno, D. R.</dc:creator><dc:creator>Kraemer, K. E.</dc:creator><dc:creator>Boyer, M. L.</dc:creator><dc:creator>Groenewegen, M. A. T.</dc:creator><dc:creator>Jones, O. C.</dc:creator><dc:creator>Kemper, F.</dc:creator><dc:creator>McDonald, I.</dc:creator><dc:creator>Oliveira, J. M.</dc:creator><dc:creator>Sewilo, M.</dc:creator><dc:creator>Srinivasan, S.</dc:creator><dc:creator>van Loon, J. Th.</dc:creator><dc:creator>Zijlstra, A.</dc:creator><dc:publisher>Harvard Dataverse</dc:publisher><dc:description>The SMC-Last project mapped the Small Magellanic Cloud (SMC) with Spitzer's
Infrared Array Camera (IRAC) at 3.6 and 4.5 um during 2 epochs, once in 2017 
August-September and a second time 2017 November-2018 February. This dataset provides the point source lists.</dc:description><dc:subject>Astronomy and Astrophysics</dc:subject><dc:date>2024-03-13</dc:date><dc:contributor>Kraemer, Kathleen E</dc:contributor><dc:contributor>NASA via ADAP grant 80NSSC19K0585</dc:contributor><dc:type>Dataset</dc:type><dc:source>Details on the catalog generation are described by: 
Kuchar et al. 2024, AJ, 167, 149
https://doi.org/10.3847/1538-3881/ad2601

Searchable versions of the datasets can be found at the NASA/IPAC Infrared
Science Archive (IRSA)
https://irsa.ipac.caltech.edu/data/SPITZER/SMC-Last/overview.html</dc:source></oai_dc:dc></metadata></record><record><header><identifier>doi:10.7910/DVN/9SG69Q</identifier><datestamp>2025-04-15T19:50:30Z</datestamp><setSpec>boston_college</setSpec></header><metadata><oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:title>3D Model of Wilne Baptismal Font</dc:title><dc:identifier>https://doi.org/10.7910/DVN/9SG69Q</dc:identifier><dc:creator>Twomey, Carolyn</dc:creator><dc:publisher>Harvard Dataverse</dc:publisher><dc:description>This is a 3D model created with Agisoft PhotoScan of the medieval sandstone baptismal font located in the nave of the Church of St. Chad in Wilne (Derbyshire), UK. In the medieval period, likely the late eleventh or twelfth century, it was recut from a shaft of a late eighth- or early ninth-century Anglo-Saxon standing cross bearing animal and figural ornament. The triumphal message of the crosses in the landscape was appropriated for the Christian victory over death at baptism. A fire in the early twentieth century destroyed the interior of the church and damaged a third of the font’s ornament, though both have been faithfully restored. For more information on visiting the church, see the &lt;a href="http://derbyshirechurches.org/church/wilne-st-chad">Wilne parish website&lt;/a>.</dc:description><dc:subject>Arts and Humanities</dc:subject><dc:subject>baptism</dc:subject><dc:subject>font</dc:subject><dc:subject>history</dc:subject><dc:subject>medieval</dc:subject><dc:subject>material culture</dc:subject><dc:subject>church</dc:subject><dc:subject>religion</dc:subject><dc:subject>ritual</dc:subject><dc:subject>wilne</dc:subject><dc:language>English</dc:language><dc:date>2018-05-09</dc:date><dc:contributor>Rowell, Chelcie J</dc:contributor><dc:type>Dataset</dc:type></oai_dc:dc></metadata></record><record><header><identifier>doi:10.7910/DVN/AIQ87J</identifier><datestamp>2025-04-15T19:50:30Z</datestamp><setSpec>boston_college</setSpec></header><metadata><oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:title>Cogeneration: A nationally representative survey of 1,549 Americans aged 18 to 94 on interest in, experience with, and barriers to working with older and younger people for social good</dc:title><dc:identifier>https://doi.org/10.7910/DVN/AIQ87J</dc:identifier><dc:creator>Halvorsen, Cal</dc:creator><dc:creator>Kelley, Bruce</dc:creator><dc:creator>Emerman, Jim</dc:creator><dc:creator>Weiss, Stefanie</dc:creator><dc:creator>Gleicher, David</dc:creator><dc:creator>Stolmeier, Jacob</dc:creator><dc:creator>Lush, Mark</dc:creator><dc:creator>Joung, Andrew</dc:creator><dc:publisher>Harvard Dataverse</dc:publisher><dc:description>This nationally representative dataset focuses on Americans’ interest in, experience with, and perceived barriers to working with members of other generations to improve the world around them. It includes responses from a March 2022 survey of 1,549 people between the ages of 18 and 94 who lived in the U.S. using the NORC at the University of Chicago AmeriSpeak® Panel.</dc:description><dc:subject>Social Sciences</dc:subject><dc:date>2022-07-12</dc:date><dc:contributor>Halvorsen, Cal</dc:contributor><dc:type>Dataset</dc:type></oai_dc:dc></metadata></record><record><header status="deleted"><identifier>doi:10.7910/DVN/BR6N97</identifier><datestamp>2022-05-05T06:08:10Z</datestamp><setSpec>boston_college</setSpec></header></record><record><header><identifier>doi:10.7910/DVN/CWHSWQ</identifier><datestamp>2025-04-15T19:50:30Z</datestamp><setSpec>boston_college</setSpec></header><metadata><oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:title>Replication Data for: Tourism and Terrorism</dc:title><dc:identifier>https://doi.org/10.7910/DVN/CWHSWQ</dc:identifier><dc:creator>Adam, Wunische</dc:creator><dc:publisher>Harvard Dataverse</dc:publisher><dc:description>Data set used to test the relationship between the number of tourism departures each year and the number of terrorist attacks against that country abroad from 1994 to 2015. Includes control variables.</dc:description><dc:subject>Social Sciences</dc:subject><dc:subject>Tourism, Terrorism</dc:subject><dc:date>2020-02-04</dc:date><dc:contributor>Wunische, Adam</dc:contributor><dc:type>Dataset</dc:type></oai_dc:dc></metadata></record><resumptionToken completeListSize="26" cursor="0">b2Zmc2V0OjoxMHxzZXQ6OmJvc3Rvbl9jb2xsZWdlfHByZWZpeDo6b2FpX2Rj</resumptionToken></ListRecords></OAI-PMH>