38 Works

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.

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).

Supplemental Data for N management paper

Yixin Guo & Denise Mauzerall

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...

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...

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).

Data set for \"Role of contamination in optimal droplet production by collective bubble bursting\"

Luc Deike
Data set for Role of contamination in optimal droplet production by collective bubble bursting.

Data for Coarse-grained Intrinsically Disordered Proteins

Michael Webb, Roshan Patel & Carlos Borca
This distribution compiles numerous physical properties for 2,585 intrinsically disordered proteins (IDPs) obtained by coarse-grained molecular dynamics simulation. This combination comprises "Dataset A" as reported in "Featurization strategies for polymer sequence or composition design by machine learning" by Roshan A. Patel, Carlos H. Borca, and Michael A. Webb (DOI: 10.1039/D1ME00160D). The specific IDP sequences are sourced from version 9.0 of the DisProt database. The simulations were performed using the LAMMPS molecular dynamics engine. The interactions...

Dataset for 'Auditory Activity is Diverse and Widespread Throughout the Central Brain of Drosophila'

DIEGO PACHECO PINEDO, Stephan Thiberge, Eftychios Pnevmatikakis & Mala Murthy
Sensory pathways are typically studied starting at receptor neurons and following postsynaptic neurons into the brain. However, this leads to a bias in analysis of activity towards the earliest layers of processing. Here, we present new methods for volumetric neural imaging with precise across-brain registration, to characterize auditory activity throughout the entire central brain of Drosophila and make comparisons across trials, individuals, and sexes. We discover that auditory activity is present in most central brain...

Shakespeare and Company Project Dataset: Lending Library Members, Books, 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 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/ht30-g395); Books (https://doi.org/10.34770/g467-3w07); Events (https://doi.org/10.34770/2r93-0t85).

Fluorescence Reconstruction Microscopy Data: Keratinocyte (10x) Phase to Nuclei (DAPI)

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 keratinocyte (10x magnification) dataset used in our paper, in which interested parties may find more complete information about our data collection methods. Matched pairs of phase contrast and fluorescent images are given. The nuclei were stained using Hoechst 33342 and imaged using a standard DAPI filter set.

Data for 'Environmental Benefits and Household Costs of Clean Heating Options in Northern China'

Mi Zhou, Liqun Peng, Lin Zhang & Denise Mauzerall
This dataset is created for the paper titled 'Environmental Benefits and Household Costs of Clean Heating Options in Northern China' and published on Nature Sustainability. Based on a 2015 regional anthropogenic emission inventory (base case), we propose seven counterfactual scenarios in which all 2015 residential solid fuel heating in northern China switches to one of the following non-district heating options: clean coal with improved stoves (CCIS), natural gas heaters (NGH), resistance heaters (RH), or air-to-air...

Data set for \"Three-dimensional measurements of air entrainment and enhanced bubble transport during wave breaking\"

Luc Deike & Daniel Ruth
Data set for air entrainment and bubble transport by breaking waves.

Fluorescence Reconstruction Microscopy: Complete Testing Dataset

& Daniel Cohen
We provide all the test data and corresponding predictions for our paper, “Practical Fluorescence Reconstruction Microscopy for High-Content Imaging”. Please refer to the Methods section in this paper for experimental details. For each experimental condition, we provide the input transmitted-light images (either phase contrast or DIC), the ground truth fluorescence images, and the output predicted fluorescence images which should reconstruct the ground truth fluorescence images.

Dust and Starlight Maps for Galaxies in the KINGFISH Sample

B.T. Draine, G. Aniano, L.K. Hunt, K. Sandstrom, D. Calzetti, R.C. Kennicutt, D.A. Dale, M. Galametz, K.D. Gordon, A.K. Leroy, J.-D.T. Smith, H. Roussel, M. Sauvage, F. Walter, L. Armus, A.D. Bolatto, M. Boquien, A. Crocker, I. De Looze, J. Donovan Meyer, G. Helou, J. Hinz, B.D. Johnson, J. Koda, A. Miller … & C.W. Engelbracht
Dust and starlight have been modeled for the KINGFISH project galaxies. For each pixel in each galaxy, we estimate: (1) dust surface density; (2) q_PAH, the dust mass fraction in PAHs; (3) distribution of starlight intensities heating the dust; (4) luminosity emitted by the dust; and (5) dust luminosity from regions with high starlight intensity.

Shakespeare and Company Project Dataset: Lending Library Members

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 Shakespeare and Company Project: Lending Library Members dataset includes information about approximately 5,700 members of Sylvia Beach's Shakespeare and Company lending library.

A dual-mechanism antibiotic kills Gram-negative bacteria and avoids drug resistance

James K. Martin, Joseph P. Sheehan, Benjamin Bratton, Gabriel M. Moore, André Mateus, Sophia Hsin-Jung Li, Hahn Kim, Joshua D. Rabinowitz, Athanasios Typas, Mikhail M. Savitski, Maxwell Z. Wilson & Zemer Gitai
The rise of antibiotic resistance and declining discovery of new antibiotics have created a global health crisis. Of particular concern, no new antibiotic classes have been approved for treating Gram-negative pathogens in decades. Here, we characterize a compound, SCH-79797, that kills both Gram-negative and Gram-positive bacteria through a unique dual-targeting mechanism of action (MoA) with undetectably-low resistance frequencies. To characterize its MoA, we combined quantitative imaging, proteomic, genetic, metabolomic, and cell-based assays. This pipeline demonstrates...

Deep Potential training data for crystalline and disordered TiO2 phases

Marcos Felipe Calegari Andrade & Annabella Selloni
Data set used to train a Deep Potential (DP) model for crystalline and disordered TiO2 phases. Training data contain atomic forces, potential energy, atomic coordinates and cell tensor. Energy and forces were evaluated with the density functional SCAN, as implemented in Quantum-ESPRESSO. Atomic configurations of crystalline systems were generated by random perturbation of atomic positions (0-0.3 A) and cell tensor (1-10%). Amorphous TiO2 was explored by DP molecular dynamics (DPMD) at temperatures in the range...

Chinese overseas development financing of electric power generation: A comparative analysis

Xu Chen, Kevin P. Gallagher & Denise Mauzerall
Global power generation must rapidly decarbonize by mid-century to meet the goal of stabilizing global warming below 2 degree Celsius. To meet this objective, multilateral development banks (MDBs) have gradually reduced fossil fuel and increased renewable energy financing. Meanwhile, globally active national development finance institutions (DFIs) from Japan and South Korea have continued to finance overseas coal plants. Less is known about the increasingly active Chinese DFIs. Here we construct a new dataset of China’s...

CPCB continuous monitoring air quality data for India, from 2015-2019

Disha Sharma & Denise Mauzerall
The dataset is a compilation of real time ground observations of criteria pollutants monitored at the Central Pollution Control Board (CPCB) continuous stations in India, from 2015-2019. Pollutants included are PM2.5, PM10, SO2, NO2 and O3 and are archived at every hour for all stations across India.

Data for: \"Financing Carbon Lock-in in Developing Countries: Bilateral Financing for Power Generation Technologies from China, Japan, and the United States\"

Xu Chen, Zhongshu Li, Kevin P. Gallagher & Denise Mauzerall
This dataset contains bilateral power generation financing data from China, Japan, and the United States in the paper "Financing Carbon Lock-in in Developing Countries: Bilateral Financing for Power Generation Technologies from China, Japan, and the United States” by Xu Chen, Zhongshu Li, Kevin P. Gallagher, and Denise L. Mauzerall published in Applied Energy.

Princeton Dynamic Stall Database: Upward ramp-type pitching motions

Janik Kiefer, Claudia Brunner, Martin O.L. Hansen & Marcus Hultmark
This data set contains data of a NACA 0021 airfoil as it undergoes upward ramp-type pitching motions at high Reynolds numbers and low Mach numbers. The parametric study covers a wide range of chord Reynolds numbers, reduced frequencies and pitching geometries characterized by varying mean angle and angle amplitude. The data were acquired in the High Reynolds number Test Facility at Princeton University, which is a closed-loop wind tunnel that can be pressurized up to...

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.

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...

Registration Year

  • 2022
    8
  • 2021
    14
  • 2020
    15
  • 2019
    1

Resource Types

  • Dataset
    38

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