69 Works

Fluorescence Reconstruction Microscopy Data: MDCK (20x) DIC to Nuclei (DAPI) and E-Cadherin (RFP)

Julienne LaChance & Daniel Cohen
The data provided in this DataSpace consists of sample training data to be used for Fluorescence Reconstruction Microscopy (FRM) testing. We provide a subset of the MDCK (20x magnification) dataset used in our paper, in which interested parties may find more complete information about our data collection methods. Matched pairs of DIC and fluorescent images are given. The cells stably expressed E-cadherin:RFP which enabled imaging of junctional fluorescence, while the nuclei were stained using Hoechst...

Deep Potential training data for subcritical and supercritical water

Marcos Calegari Andrade, Hsin-Yu Ko & Roberto Car
Data set used to train a Deep Potential (DP) model for subcritical and supercritical water. Training data contain atomic forces, potential energy, atomic coordinates and cell tensor. Energy and forces were evaluated with the density functional SCAN. Atomic configurations were extracted from DP molecular dynamics at P = 250 bar and T = 553, 623, 663, 733 and 823 K. Input files used to train the DP model are also provided.

Shakespeare and Company Project Dataset: Lending Library Books

Joshua Kotin, Rebecca Sutton Koeser, Carl Adair, Serena Alagappan, Jean Bauer, Oliver J. Browne, Nick Budak, Harriet Calver, Jin Chow, Ian Davis, Gissoo Doroudian, Currie Engel, Elspeth Green, Benjamin Hicks, Madeleine E. Joelson, Carolyn Kelly, Sara Krolewski, Xinyi Li, Ellie Maag, Cate Mahoney, Jesse D. McCarthy, Mary Naydan, Isabel Ruehl, Sylvie Thode, Camey VanSant … & Clifford E. Wulfman
This dataset includes information about approximately 6,000 books and other items with bibliographic data as well as summary information about when the item circulated in the Shakespeare and Company lending library and the number of times an item was borrowed or purchased.

Shakespeare and Company Project Dataset: Lending Library Events

Joshua Kotin, Rebecca Sutton Koeser, Carl Adair, Serena Alagappan, Jean Bauer, Oliver J. Browne, Nick Budak, Harriet Calver, Jin Chow, Ian Davis, Gissoo Doroudian, Currie Engel, Elspeth Green, Benjamin Hicks, Madeleine E. Joelson, Carolyn Kelly, Sara Krolewski, Xinyi Li, Ellie Maag, Cate Mahoney, Jesse D. McCarthy, Mary Naydan, Isabel Ruehl, Sylvie Thode, Camey VanSant … & Clifford E. Wulfman
The events dataset includes information about approximately 33,700 lending library events including membership activities such as subscriptions, renewals and reimbursements and book-related activities such as borrowing and purchasing. For events related to lending library cards that are available as digital surrogates, IIIF links are provided.

Data for food consumption strategies in China

Yixin Guo, Denise Mauzerall & Pan He
This dataset provides the data generated during the project analyzing ‘Food Consumption Strategies for Addressing Air Pollution, Climate Change, Water Use, and Public Health in China’. It includes the code for generating the alternative dietary scenarios, for analyzing the health impacts of alternative diets, and for visualization of results.

Femtosecond X-ray Diffraction of Laser-shocked Forsterite (Mg2SiO4) to 122 GPa

DONGHOON KIM, Sally June Tracy, Raymond F. Smith, Arianna Gleason, Cynthia Bolme, Vitali Prakapenka, Karen Appel, Sergio Speziable, June Wicks, Eleanor Berryman, Sirus Han, Markus O. Schoelmerich, Hae Ja Lee, Bob Nagler, Eric F. Cunningham, Minta C. Akin, Paul Asimow, Jon H. Eggert & Thomas Duffy
The behavior of forsterite, Mg2SiO4, under dynamic compression is of fundamental importance for understanding its phase transformations and high-pressure behavior. Here, we have carried out an in situ X-ray diffraction study of laser-shocked poly- and single-crystal forsterite (a-, b-, and c- orientations) from 19 to 122 GPa using the Matter in Extreme Conditions end-station of the Linac Coherent Light Source. Under laser-based shock loading, forsterite does not transform to the high-pressure equilibrium assemblage of MgSiO3...

The Dielectric Function of \"Astrodust\", and Absorption and Scattering Cross Sections for Spheroids

Bruce T. Draine & Brandon S. Hensley
The dielectric function for "Astrodust" grain material is provided for different assumed values of the dust grain shape (spheroid axis ratio) and porosity (vacuum fraction), and fraction of the interstellar iron present as metallic inclusions. For each case, the dielectric function is obtained by requiring that the grains reproduce the observed infrared opacity, and match to a physically reasonable dielectric function at 1 micron, and extending to X-ray energies. The derived dielectric functions satisfy the...

2-km resolution oversampled NH3 data

Rui Wang, Xuehui Guo, Da Pan, James Kelly, Jesse Bash, Kang Sun, Fabien Paulot, Lieven Clarisse, Martin Van Damme, Simon Whitburn, Pierre-François Coheur, Cathy Clerbaux & Mark Zondlo
Monthly, high resolution (~2 km) ammonia (NH3) column maps from the Infrared Atmospheric Sounding Interferometer (IASI) were developed across the contiguous United States and adjacent areas. Ammonia hotspots (95th percentile of the column distribution) were highly localized with a characteristic length scale of 12 km and median area of 152 km2. Five seasonality classes were identified with k-means++ clustering. The Midwest and eastern United States had a broad, spring maximum of NH3 (67% of hotspots...

Experimental data for paper \"hydraulic transmissivity inferred from ice-sheet relaxation following Greenland supraglacial lake drainages\"

Ching-Yao Lai
This setup mimics ice lying above the drainage system. In the experiment, a fluid-filled blister is generated via liquid injection into the interface between a transparent elastic layer and a porous substrate. After injection of liquid, the fluid permeates from the blister through the porous substrate, the blister volume V(t) relaxes exponentially with time. Our lab experiments show that varying the permeability of the porous substrate k significantly impacts the relaxation timescale in the experiments.

Why is El Nino warm?

Allison Hogikyan, Laure Resplandy, Wenchang Yang & Stephan Fueglistaler
Dataset constructed from GFDL-FLOR preindustrial control experiment run by Wenchang Yang (wenchang@princeton.edu) on Princeton University's tiger CPU. Processing by Allison Hogikyan (hogikyan@princeton.edu) on Princeton University's tigress data processing node. June 2021.

The Molino Suite of Galaxy Mock Catalogs

CHANGHOON HAHN
The Molino suite contains 75,000 galaxy mock catalogs designed to quantify the information content of any cosmological observable for a redshift-space galaxy sample. They are constructed from the Quijote N-body simulations (Villaescusa-Navarro et al. 2020) using the standard Zheng et al. (2007) Halo Occupation Distribution (HOD) model. The fiducial HOD parameters are based on the SDSS high luminosity samples. The suite contains 15,000 mocks at the fiducial cosmology and HOD parameters for covariance matrix estimation....

Shakespeare and Company Project Dataset: Lending Library Events

Joshua Kotin, Rebecca Sutton Koeser, Carl Adair, Serena Alagappan, Paige Allen, Jean Bauer, Oliver J. Browne, Nick Budak, Harriet Calver, Jin Yun Chow, Ian Davis, Gissoo Doroudian, Currie Engel, Violet Gautreua, Alex Gjaja, Elspeth Green, Isaac Hart, Benjamin Hicks, Madeleine E. Joelson, Carolyn Kelly, Sara Krolewski, Xinyi Li, Ellie Maag, Elizabeth Macksey, Cate Mahoney … & Clifford E. Wulfman
The Shakespeare and Company Project: Lending Library Events dataset includes information about approximately 35,000 lending library events including membership activities such as subscriptions, renewals and reimbursements and book-related activities such as borrowing and purchasing. For events related to lending library cards that are available as digital surrogates, IIIF links are provided.

Data for: 'How is sea level change encoded in carbonate stratigraphy?'

Emily Geyman, Adam Maloof & Blake Dyer
The history of organismal evolution, seawater chemistry, and paleoclimate is recorded in layers of carbonate sedimentary rock. Meter-scale cyclic stacking patterns in these carbonates often are interpreted as representing sea level change. A reliable sedimentary proxy for eustasy would be profoundly useful for reconstructing paleoclimate, since sea level responds to changes in temperature and ice volume. However, the translation from water depth to carbonate layering has proven difficult, with recent surveys of modern shallow water...

Supplement to PhD Dissertation: \"Subsurface Computational Modeling and Policy Analysis of Large-Scale Carbon Capture, Utilization, and Storage (2022)\"

Yiheng Tao
This dataset contains supplementary materials for Chapter 4 and Chapter 5 of Yiheng Tao's PhD dissertation (2022). The dissertation’s abstract is provided here: Carbon capture, utilization, and storage (CCUS) mitigates climate change by capturing carbon dioxide (CO2) emissions from large point sources, or CO2 from the ambient air, and subsequently reusing the captured CO2 or injecting it into deep geological formations for long-term and secure storage. Almost all current decarbonization pathways include large-scale CCUS, on...

Speech can produce jet-like transport relevant to asymptomatic spreading of virus: dataset of experiments and simulations

Manouk Abkarian, Simon Mendez, Nan Xue, Yang Fan & Howard Stone

Supplemental Data for N management paper

Yixin Guo & Denise Mauzerall

March Mathness: Effects of basketball on the brain

James Antony & Sam McDougle
Surprise signals a discrepancy between past and current beliefs. It is theorized to be linked to affective experiences, the creation of particularly resilient memories, and segmentation of the flow of experience into discrete perceived events. However, the ability to precisely measure naturalistic surprise has remained elusive. We used advanced basketball analytics to derive a quantitative measure of surprise and characterized its behavioral, physiological, and neural correlates in human subjects observing basketball games. We found that...

Shakespeare and Company Project Dataset: Lending Library Events

Joshua Kotin, Rebecca Sutton Koeser, Carl Adair, Priyanka Aiyer, Serena Alagappan, Paige Allen, Jean Bauer, OJ Browne, Nicholas Budak, Harriet Calver, Robert Chiossi, Jin Yun Chow, Iliyah Coles, Ian Davis, Gissoo Doroudian, Currie Engel, Violet Gautreau, Alex Gjaja, Elspeth Green, Isaac Hart, Benjamin Hicks, Samuel Himmelfarb, Madeleine Joelson, Fedor Karmanov, Carolyn Kelly … & Clifford Wulfman
The Shakespeare and Company Project: Lending Library Events dataset includes information about approximately 35,000 lending library events including membership activities such as subscriptions, renewals and reimbursements and book-related activities such as borrowing and purchasing. For events related to lending library cards that are available as digital surrogates, IIIF links are provided.

Data for: 'Facies control on carbonate δ13C on the Great Bahama Bank'

Emily Geyman & Adam Maloof
The carbon isotopic (δ13C) composition of shallow-water carbonates often is interpreted to reflect the δ13C of the global ocean and is used as a proxy for changes in the global carbon cycle. However, local platform processes, in addition to meteoric and marine diagenesis, may decouple carbonate δ13C from that of the global ocean. To shed light on the extent to which changing sediment grain composition may produce δ13C shifts in the stratigraphic record, we present...

Shakespeare and Company Project Dataset: Lending Library Members, Books, Events

Joshua Kotin, Rebecca Sutton Koeser, Carl Adair, Serena Alagappan, Paige Allen, Jean Bauer, Oliver J. Browne, Nick Budak, Harriet Calver, Jin Yun Chow, Ian Davis, Gissoo Doroudian, Currie Engel, Violet Gautreua, Alex Gjaja, Elspeth Green, Isaac Hart, Benjamin Hicks, Madeleine E. Joelson, Carolyn Kelly, Sara Krolewski, Xinyi Li, Ellie Maag, Elizabeth Macksey, Cate Mahoney … & Clifford E. Wulfman
The Shakespeare and Company Project makes three datasets available to download in CSV and JSON formats. The datasets provide information about lending library members; the books that circulated in the lending library; and lending library events, including borrows, purchases, memberships, and renewals. The datasets may be used individually or in combination site URLs are consistent identifiers across all three. The DOIs for each dataset are as follows: Members (https://doi.org/10.34770/nsa4-3t76); Books (https://doi.org/10.34770/079z-h206); Events (https://doi.org/10.34770/rtbp-kv40).

The 21st year: transcription, motif list, and relation score

Claire H. C. Chang, Christina Lazaridi, Yaara Yeshurun, Kenneth A. Norman & Uri Hasson

Shakespeare and Company Project Dataset: Lending Library Books

Joshua Kotin, Rebecca Sutton Koeser, Carl Adair, Serena Alagappan, Paige Allen, Jean Bauer, Oliver J. Browne, Nick Budak, Harriet Calver, Jin Yun Chow, Ian Davis, Gissoo Doroudian, Currie Engel, Violet Gautreua, Alex Gjaja, Elspeth Green, Isaac Hart, Benjamin Hicks, Madeleine E. Joelson, Carolyn Kelly, Sara Krolewski, Xinyi Li, Ellie Maag, Elizabeth Macksey, Cate Mahoney … & Clifford E. Wulfman
This dataset includes information about approximately 6,000 books and other items with bibliographic data as well as summary information about when the item circulated in the Shakespeare and Company lending library and the number of times an item was borrowed or purchased.

Derrida's Margins datasets

Katie Chenoweth, Rebecca Koeser, Renée Altergott, Alexander Baron-Raiffe, Jean Bauer, Nicholas Budak, Chad Cordova, Austin Hancock, Benjamin Hicks, Kevin McElwee & Chloé Vettier
Derrida’s Margins is a website and online research tool for annotations from the Library of Jacques Derrida, housed at Princeton University Library (PUL) . Jacques Derrida is one of the major figures of twentieth-century thought, and his library--which bears the traces of decades of close reading--represents a major intellectual archive. This project focused on annotations related to Derrida’s landmark 1967 work De la grammatologie (Of Grammatology).

Spike Trains of Retinal Ganglion Cells Viewing a Repeated Natural Movie

Jason Puchalla & Michael Berry

Delivery Gig Worker Interviews on Automation at Work

Diana Enriquez
These data include 39 structured interview transcripts. Each case is someone who worked at the time for Uber, UberEats, Lyft, and/or Amazon Flex (Amazon’s contractor delivery service). These data were collected between July and September 2019. All but one of the interviews occurred over the phone. My questions are focused on the structure of their gig work jobs and the technology they used at work or expected to use at work in the future. I...

Registration Year

  • 2022
    16
  • 2021
    26
  • 2020
    26
  • 2019
    1

Resource Types

  • Dataset
    69

Affiliations

  • Princeton University
    38
  • Case Western Reserve University
    2
  • University of California, San Diego
    1
  • Dartmouth College
    1
  • Pennsylvania State University
    1
  • Boston University
    1