This represents Harvard's responses to the Common Data Initiative. The Common Data Set (CDS) initiative is a collaborative effort among data providers in the higher education community and publishers as represented by the College Board, Peterson's, and U.S. News & World Report. The combined goal of this collaboration is to improve the quality and accuracy of information provided to all involved in a student's transition into higher education, as well as to reduce the reporting burden on data providers. This goal is attained by the development of clear, standard data items and definitions in order to determine a specific cohort relevant to each item. Data items and definitions used by the U.S. Department of Education in its higher education surveys often serve as a guide in the continued development of the CDS. Common Data Set items undergo broad review by the CDS Advisory Board as well as by data providers representing secondary schools and two- and four-year colleges. Feedback from those who utilize the CDS also is considered throughout the annual review process.
STATA Code and datasets. Visit https://dataone.org/datasets/sha256%3Ab873ba80fc5f49c13f55e249e23216e4e1fd81c33e9c52f65a0e8784d3c0743a for complete metadata about this dataset.
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The article examines causal relationships between sovereign credit default swaps (CDS) prices for the BRICS and most important EU economies (Germany, France, the UK, Italy, Spain) during the European debt crisis. The cross-correlation function (CCF) approach used in the research distinguishes between causality-in-mean and causality-in-variance. In both causality dimensions, the BRICS CDS prices tend to Granger cause those of the EU counterparts with the exception of Germany. Italy and Spain exhibit the highest dependence on the BRICS, whereas only India has a negative balance of outgoing and incoming causal linkages among the BRICS. Thus, the paper underscores the signs of decoupling effects in the sovereign CDS market and also supports the view that the European debt crisis has so far had a limited non-EU impact in this market.
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qPCR primer sequences obtained from Harvard Primer Bank (http://pga.mgh.harvard.edu/primerbank/).
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Data set containing information about matched sets of twins, triplets, and quadruplets on cd-rom. Background The Matched Multiple Birth Data Set is maintained by the National Center for Health Statistics. The Matched Multiple Birth Data Set allows for unique analysis of birth set data because it links birth sets together generating data about gender among the set, birth weight among the set, and outcomes among the set. Included on the file are 325,516 sets of twins; 12,157 sets of triplets; and 760 sets of quadruplets User functionality Data is presented in Cd- rom. The data was collected over six years and 98% of the records are of matched sets. All of the data is from the United States. Data Notes For more information on this cd-rom, contact: Reproductive Statistics Branch National Center for Health Statistics 3311 Toledo Road, Room 7318 Hyattsville, Maryland 20782 Telephone: (301) 458-4362 or (301) 458-4111
Petition subject: Charles Sumner resolution Original: http://nrs.harvard.edu/urn-3:FHCL:25950412 Date of creation: (unknown) Petition location: Boston Legislator, committee, or address that the petition was sent to: Willard P. Phillips, Salem Selected signatures:John B. BaileyMichael DuganJames H. WilsonJames L. BaileyCharles RipleyWilliam HareWendell T. CoburnBenjamin F. RobertsAndrew ReynoldsJ.J. MooreWilliam W. Brown [William Wells Brown?]J.V. ThompsonJoseph HarrisS.H. LewisFrank E. LeePeter F. GillHorace J. GrayWilliam N. BrownEdward H. GraySamuel A. HancockC.D. ThomasGeorge J. HindsJohn H. RohanThomas MitchellJohn AhearnBenjamin L. PettingillDaniel J. DalyJames McLaughlinWilliam T. Thompson Actions taken on dates: 1873-03-17 Legislative action: Received in the House on March 17, 1873 and placed on file Total signatures: 58 Legislative action summary: Received, placed on file Legal voter signatures (males not identified as non-legal): 58 Female only signatures: No Identifications of signatories: voters, [males of color], ["others"] Prayer format was printed vs. manuscript: Printed Additional non-petition or unrelated documents available at archive: no additional documents Additional archivist notes: To rescind and annul the censure of Charles Sumner for resolution on Civil War battle honors on regimental flags Location of the petition at the Massachusetts Archives of the Commonwealth: House Unpassed 1873, H 141 adopted resolutions 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.
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The datasets for SeasonBench-EA Benchmark, which contains the monthly reanalysis data (1940-2024) and ensemble forecasts for CMCC. All data are downloaded from the Copernicus Climate Data Store (https://cds.climate.copernicus.eu/) and reorganized for benchmark construction. Please ensure compliance with the CDS Licence when using or redistributing the data.
The Henry Draper (HD) Catalog (Cannon and Pickering 1918 - 1924, Ann. Astron. Obs. Harvard College 91 - 99) and its first extension, the Henry Draper Extension (HDE) Catalog (Cannon 1934, Ann. Astron. Obs. Harvard College 100, 1 - 6), provided spectral classification and rough positions for 272,150 stars and has been widely made use of by the astronomical community for over half a century. A second extension of the HD Catalog, the so-called Henry Draper Extension Charts (HDEC), subsequently extended this spectral classification to fainter magnitudes (Cannon 1937, Ann. Astron. Obs. Harvard College 105, 1; Cannon and Mayall 1949, Ann. Astron. Obs. Harvard College 112), thus adding nearly another 87,000 stars with derived spectral types. The information in the HDEC was published in the form of charts rather than tables like the HD and HDE Catalogs, and consequently has been barely utiized by modern astronomers. In the 1990's, after a pilot project of Roeser et al. (1991, Astr. Ap. Suppl., 88, 277) had demonstrated that it seemed feasible to `revive' the HDEC data, they were converted into a catalog of accurate astrometric parameters along with magnitudes and spectral types by Nesterov et al. (1995, Astr. Ap. Suppl., 110, 367), who used measurements of Cartesian coordinates of stars in the charts and the positions in the Astrographic Catalog (AC) for subsequent cross-identification. The Nesterov et al. (1991) reference should be consulted for the full details on the procedures used to create this HDEC catalog. The HDEC catalog contains information on 86,933 stars, comprising accurate (0.5 arcseconds error) positions, (for more than 96 per cent of them) proper motions with a typical accuracy of 5.5 milliarcseconds (mas) per year, and the original spectral classifications. The current database contains the main portion of the catalog. An additional set of information, primarily comprising HD entries with cross-identifications with known or suspected variable stars, was included in the A.J. Cannon Memorial Volume (Cannon and Mayall 1949). This list was extended by Nesterov et al. (1991) to more than 500 identifications with variable stars. This latter expanded list, together with a list of entries which have uncertain identifications, is not included in the HEASARC version of this catalog, but it is available on the HEASARC website in the directory /FTP/heasarc/dbase/misc_files/hdec/ as the file hdec.remarks. If the parameter "remarks" is set to "R" for an entry in the HDEC catalog, this means that there is a remark about that particular star in the above file. This database was created by the HEASARC in April 1998 based on the machine-readable ADC/CDS Catalog III/182. This is a service provided by NASA HEASARC .
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These is a query db representing evaluation queries at: http://www.trec-cds.org/2017.html for use in OWIM
Molecular Dynamics Simulations (100 nanoseconds) of CD27 in complex with M2177 antibody at 310K (37°C). Includes PDB files obtained every 50 ns.
Molecular Dynamics Simulations (100 nanoseconds) of CD-22 in complex with epratuzumab at 312K (39°C). Includes PDB files obtained every 50 ns.
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Molecular Dynamics Simulations (200 nanoseconds) of human CD28 in complex with the Fab fragment of 5.11A1 antibody at 311K (38°C). Includes PDB files obtained after 0, 50, 100, 150, 200 nanoseconds.
Molecular Dynamics Simulations (100 nanoseconds) of CD-19 (N138Q) in complex with B43 antibody at 310K (37°C). Includes PDB files obtained every 50 ns.
https://dataverse.harvard.edu/api/datasets/:persistentId/versions/5.0/customlicense?persistentId=doi:10.7910/DVN/TTG1DLhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/5.0/customlicense?persistentId=doi:10.7910/DVN/TTG1DL
RateWatch provides 3 datasets containing interest rates for deposits, loans and fees at branch level for U.S. financial institutions covering over 96,000 locations. Data is gathered from institutions of all types and sizes. The largest depth of data is around consumer products such as CDs, Savings, Checking, Money Markets, Auto Loans, Home Equity Loans and Mortgages. Within each category, details are available for multiple terms and/or dollar tiers. Data includes several identifying fields including institution name, address, routing number, asset size, institution type, MSA codes, latitude, longitude, state and city FIPS code. Consult relevant data dictionary for more information. File structure: text delimited (delimiter: pipe). "Join" file provides cross reference between an institution's rate setting location and its other branches. A given Institution may have multiple rate setting locations that may vary by product type. DATA AVAILABLE FOR YEARS: 2001-2024 (2025-02-05)
The sample of galaxies used in this section is presented in tableA1 andconsists of 245 distinct objects with simultaneous measurements ofintegrated HI line fluxes and CO(1-0) line fluxes. The latter were drawnfrom nine catalogues in the literature, and, where not given explicitly,recomputed from indicated H2 masses by factoring out thedifferent X-factors used by the authors.(1 data file).
This dataset contains all YSOVAR lightcurves of L1688 as published in YSOVAR: Mid-infrared Variability in the Star-forming Region Lynds 1688. The data has been processed and cleaned as described in that article. Please note that additional electronic data (e.g. a table of source properties) is included in the article and is available from CDS.
Spatially resolved HI emission line observations (around 1.4GHz, 21cm) with the Australian Telescope Compact Array (ATCA)
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Molecular Dynamics Simulations (100 nanoseconds) of CD-38 in complex with antibody SAR650984 (310K, 37°C)
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THIS REPOSITORY CONTAINS ALL REPLICATION FILES (DATA AND ANALYSIS SCRIPTS) TO REPLICATE THE RESULTS AND FINDINGS PRESENTED IN THE ARTICLE "CONSPIRACY BELIEFS AND PERCEPTIONS OF ELECTORAL INTEGRITY: CROSS-NATIONAL EVIDENCE FROM 29 COUNTRIES" (PUBLISHED IN PUBLIC OPINION QUARTERLY). The data files in this repositiory contain merged data from (a) the European Social Survey (ESS) round 10, (b) the Varieties of Democracy (V-DEM) Project, (c) the World Bank, and (d) National Elections Across Democracy and Autocracy (NELDA) Project. Relevant documentation and codebooks for each of these data sources can be found at: (a) https://www.europeansocialsurvey.org/data; (b) https://www.v-dem.net/data/the-v-dem-dataset/; (c) https://databank.worldbank.org/indicator/NY.GDP.PCAP.CD/1ff4a498/Popular-Indicators; (d) https://nelda.co/.
This represents Harvard's responses to the Common Data Initiative. The Common Data Set (CDS) initiative is a collaborative effort among data providers in the higher education community and publishers as represented by the College Board, Peterson's, and U.S. News & World Report. The combined goal of this collaboration is to improve the quality and accuracy of information provided to all involved in a student's transition into higher education, as well as to reduce the reporting burden on data providers. This goal is attained by the development of clear, standard data items and definitions in order to determine a specific cohort relevant to each item. Data items and definitions used by the U.S. Department of Education in its higher education surveys often serve as a guide in the continued development of the CDS. Common Data Set items undergo broad review by the CDS Advisory Board as well as by data providers representing secondary schools and two- and four-year colleges. Feedback from those who utilize the CDS also is considered throughout the annual review process.