Stack
Definition
A Stack is container to help the layout of other components. It is inherently a block element, and uses margin to separate elements. Using margin means that margins will collapse between two adjacent child elements. This is useful, for example, for a heading with inherent margin-bottom and any other element following it.
Stack has utility classes to create all the spacings between child elements
in $spaces, the Bootstrap spacing list.
Stack has a variation called Divider (.stack-divider) which
adds a dividing line between the child elements. Divider is flexible in its
color, width, and height. Divider's default color is primary,
which, with the presence of an archive color in neutral theme, will be the
archive color.
Description
Use the Stack to evenly space out child elements.
Examples
Stack
This example is made of nested Stacks. The parent Stack has a Divider. The first nested Stack has a smaller spacing than the second nested Stack.
About
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Invidiosum nomen est, infame, suspectum. Ergo illi intellegunt quid Epicurus dicat, ego non intellego? Addidisti ad extremum etiam indoctum fuisse. Scrupulum, inquam, abeunti;
Tum ille timide vel potius verecunde: Facio, inquit. Quid est enim aliud esse versutum?
Duo Reges: constructio interrete. Utram tandem linguam nescio? Nihil opus est exemplis hoc facere longius. Est, ut dicis, inquit; An haec ab eo non dicuntur? Est, ut dicis, inquam. Quid, quod res alia tota est? Hoc non est positum in nostra actione.
Margaret Levenstein is Director of ICPSR, the Inter-university Consortium for Political and Social Research. Founded in 1962, ICPSR is the largest curated social science data archive in the world and a recipient of a 2019 National Medal for Museum and Library Service.
Margaret Levenstein is Professor in the School of Information, Research Professor in the Institute for Social Research, and Adjunct Professor of Business Economics, University of Michigan. She is Principal Investigator of the NSF infrastructure project, Research Data Ecosystem and Co-Director of the Michigan Federal Statistical Research Data Center. She serves on boards of Social Science Research Council; World Data System; Data Documentation Initiative (DDI); National Internet Observatory; NOAA's Data Archiving and Access Requirements Working Group (DAARWG); Criminal Justice Administrative Records System; and Wealth and Mobility Study. She received her PhD from Yale University and BA from Barnard College, Columbia University. She is a fellow of the National Association for the Advancement of Science. She is author of Accounting for Growth: Information Systems and the Creation of the Large Corporation. Formerly president of the Business History Conference, she is the author of numerous historical and contemporary studies of competition and of innovation as well as the production, dissemination, and confidentiality protection of data for social and economic measurement.
Margaret Levenstein is Director of ICPSR, the Inter-university Consortium for Political and Social Research. Founded in 1962, ICPSR is the largest curated social science data archive in the world and a recipient of a 2019 National Medal for Museum and Library Service.
Margaret Levenstein is Professor in the School of Information, Research Professor in the Institute for Social Research, and Adjunct Professor of Business Economics, University of Michigan. She is Principal Investigator of the NSF infrastructure project, Research Data Ecosystem and Co-Director of the Michigan Federal Statistical Research Data Center. She serves on boards of Social Science Research Council; World Data System; Data Documentation Initiative (DDI); National Internet Observatory; NOAA's Data Archiving and Access Requirements Working Group (DAARWG); Criminal Justice Administrative Records System; and Wealth and Mobility Study. She received her PhD from Yale University and BA from Barnard College, Columbia University. She is a fellow of the National Association for the Advancement of Science. She is author of Accounting for Growth: Information Systems and the Creation of the Large Corporation. Formerly president of the Business History Conference, she is the author of numerous historical and contemporary studies of competition and of innovation as well as the production, dissemination, and confidentiality protection of data for social and economic measurement.
Margaret Levenstein is Director of ICPSR, the Inter-university Consortium for Political and Social Research. Founded in 1962, ICPSR is the largest curated social science data archive in the world and a recipient of a 2019 National Medal for Museum and Library Service.
Margaret Levenstein is Professor in the School of Information, Research Professor in the Institute for Social Research, and Adjunct Professor of Business Economics, University of Michigan. She is Principal Investigator of the NSF infrastructure project, Research Data Ecosystem and Co-Director of the Michigan Federal Statistical Research Data Center. She serves on boards of Social Science Research Council; World Data System; Data Documentation Initiative (DDI); National Internet Observatory; NOAA's Data Archiving and Access Requirements Working Group (DAARWG); Criminal Justice Administrative Records System; and Wealth and Mobility Study. She received her PhD from Yale University and BA from Barnard College, Columbia University. She is a fellow of the National Association for the Advancement of Science. She is author of Accounting for Growth: Information Systems and the Creation of the Large Corporation. Formerly president of the Business History Conference, she is the author of numerous historical and contemporary studies of competition and of innovation as well as the production, dissemination, and confidentiality protection of data for social and economic measurement.
Margaret Levenstein is Director of ICPSR, the Inter-university Consortium for Political and Social Research. Founded in 1962, ICPSR is the largest curated social science data archive in the world and a recipient of a 2019 National Medal for Museum and Library Service.
Margaret Levenstein is Professor in the School of Information, Research Professor in the Institute for Social Research, and Adjunct Professor of Business Economics, University of Michigan. She is Principal Investigator of the NSF infrastructure project, Research Data Ecosystem and Co-Director of the Michigan Federal Statistical Research Data Center. She serves on boards of Social Science Research Council; World Data System; Data Documentation Initiative (DDI); National Internet Observatory; NOAA's Data Archiving and Access Requirements Working Group (DAARWG); Criminal Justice Administrative Records System; and Wealth and Mobility Study. She received her PhD from Yale University and BA from Barnard College, Columbia University. She is a fellow of the National Association for the Advancement of Science. She is author of Accounting for Growth: Information Systems and the Creation of the Large Corporation. Formerly president of the Business History Conference, she is the author of numerous historical and contemporary studies of competition and of innovation as well as the production, dissemination, and confidentiality protection of data for social and economic measurement.
Margaret Levenstein is Director of ICPSR, the Inter-university Consortium for Political and Social Research. Founded in 1962, ICPSR is the largest curated social science data archive in the world and a recipient of a 2019 National Medal for Museum and Library Service.
Margaret Levenstein is Professor in the School of Information, Research Professor in the Institute for Social Research, and Adjunct Professor of Business Economics, University of Michigan. She is Principal Investigator of the NSF infrastructure project, Research Data Ecosystem and Co-Director of the Michigan Federal Statistical Research Data Center. She serves on boards of Social Science Research Council; World Data System; Data Documentation Initiative (DDI); National Internet Observatory; NOAA's Data Archiving and Access Requirements Working Group (DAARWG); Criminal Justice Administrative Records System; and Wealth and Mobility Study. She received her PhD from Yale University and BA from Barnard College, Columbia University. She is a fellow of the National Association for the Advancement of Science. She is author of Accounting for Growth: Information Systems and the Creation of the Large Corporation. Formerly president of the Business History Conference, she is the author of numerous historical and contemporary studies of competition and of innovation as well as the production, dissemination, and confidentiality protection of data for social and economic measurement.
Margaret Levenstein is Director of ICPSR, the Inter-university Consortium for Political and Social Research. Founded in 1962, ICPSR is the largest curated social science data archive in the world and a recipient of a 2019 National Medal for Museum and Library Service.
Margaret Levenstein is Professor in the School of Information, Research Professor in the Institute for Social Research, and Adjunct Professor of Business Economics, University of Michigan. She is Principal Investigator of the NSF infrastructure project, Research Data Ecosystem and Co-Director of the Michigan Federal Statistical Research Data Center. She serves on boards of Social Science Research Council; World Data System; Data Documentation Initiative (DDI); National Internet Observatory; NOAA's Data Archiving and Access Requirements Working Group (DAARWG); Criminal Justice Administrative Records System; and Wealth and Mobility Study. She received her PhD from Yale University and BA from Barnard College, Columbia University. She is a fellow of the National Association for the Advancement of Science. She is author of Accounting for Growth: Information Systems and the Creation of the Large Corporation. Formerly president of the Business History Conference, she is the author of numerous historical and contemporary studies of competition and of innovation as well as the production, dissemination, and confidentiality protection of data for social and economic measurement.
<div class="stack stack-divider col-10 offset-1 bg-white p-3">
<section>
<h3>About</h3>
<p>
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Invidiosum
nomen est, infame, suspectum. Ergo illi intellegunt quid Epicurus
dicat, ego non intellego? Addidisti ad extremum etiam indoctum
fuisse. Scrupulum, inquam, abeunti;
</p>
<p>
Tum ille timide vel potius verecunde: Facio, inquit. Quid est enim
aliud esse versutum?
</p>
<p>
Duo Reges: constructio interrete. Utram tandem linguam nescio? Nihil
opus est exemplis hoc facere longius. <a
href="http://loripsum.net/"
target="_blank">Est, ut dicis, inquit;</a
> An haec ab eo non dicuntur? Est, ut dicis, inquam. Quid, quod res alia
tota est? Hoc non est positum in nostra actione.
</p>
</section>
<section class="stack stack-2">
<ProfileWithDescription />
<ProfileWithDescription />
<ProfileWithDescription />
</section>
<section class="stack stack-5">
<ProfileWithDescription />
<ProfileWithDescription />
<ProfileWithDescription />
</section>
</div>Eyebrow
To create an eyebrow, set the --divider-line-width CSS Custom
Property.
About National Neighborhood Data Archive (NaNDA)
The National Neighborhood Data Archive (NaNDA) is a publicly available data archive containing measures of the physical, economic, demographic, and social environment at multiple levels of spatial scale (eg, census tract, ZIP code tabulation area, county). Each NaNDA dataset covers all or most of the entire nation (including both rural and urban areas) and represents a set of measures on a single topic of interest, including socioeconomic disadvantage, healthcare, housing, partisanship, and public transit, with temporal coverage dating back to 2000.
<div class="well splash-about stack stack-divider">
<h2>About National Neighborhood Data Archive (NaNDA)</h2>
<p>
The National Neighborhood Data Archive (NaNDA) is a publicly available data
archive containing measures of the physical, economic, demographic, and
social environment at multiple levels of spatial scale (eg, census tract,
ZIP code tabulation area, county). Each NaNDA dataset covers all or most of
the entire nation (including both rural and urban areas) and represents a
set of measures on a single topic of interest, including socioeconomic
disadvantage, healthcare, housing, partisanship, and public transit, with
temporal coverage dating back to 2000.
</p>
</div>// _splash.scss
.splash-about {
--divider-line-width: 5rem;
--stack-gap: 2rem;
}Variables
CSS Custom Properties
--stack-gap--divider-color--divider-line-height--divider-line-width