69 Works

Data for “Global adjoint tomography—model GLAD-M25\"

Wenjie Lei, Youyi Ruan, Ebru Bozdağ, Daniel Peter, Matthieu Lefebvre, Dimitri Komatitsch, Jeroen Tromp, Judith Hill, Norbert Podhorszki & David Pugmire

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 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...

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.

Data from \"Signatures of a liquid-liquid transition in an ab initio deep neural network model for water\"

Thomas Gartner, Linfeng Zhang, Pablo Miguel Piaggi, Roberto Car, Athanassios Panagiotopoulos & Pablo Debenedetti
This dataset contains all data related to the publication "Signatures of a liquid-liquid transition in an ab initio deep neural network model for water", by Gartner et al., 2020. In this work, we used neural networks to generate a computational model for water using high-accuracy quantum chemistry calculations. Then, we used advanced molecular simulations to demonstrate evidence that suggests this model exhibits a liquid-liquid transition, a phenomenon that can explain many of water's anomalous properties....

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...

Distinct cytoskeletal proteins define zones of enhanced cell wall synthesis in Helicobacter pylori

Jenny A. Taylor, Benjamin P. Bratton, Sophie R. Sichel, Kris M. Blair, Holly M. Jacobs, Kristen E. DeMeester, Erkin Kuru, Joe Gray, Jacob Biboy, Michael S. VanNieuwenhze, Waldemar Vollmer, Catherine L. Grimes, Joshua W. Shaevitz & Nina R. Salama
Helical cell shape is necessary for efficient stomach colonization by Helicobacter pylori, but the molecular mechanisms for generating helical shape remain unclear. We show that the helical centerline pitch and radius of wild-type H. pylori cells dictate surface curvatures of considerably higher positive and negative Gaussian curvatures than those present in straight- or curved-rod bacteria. Quantitative 3D microscopy analysis of short pulses with either N-acetylmuramic acid or D-alanine metabolic probes showed that cell wall growth...

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...

Dataset for China's foreign direct investment in the global power sector

Zhongshu Li, Kevin P. Gallagher & Denise L. Mauzerall
The dataset include a list of power projects outside of China that receive Chinese foreign direct investment from 2000 to 2018. Detailed information including project capacity, location, share of Chinese ownership, type of power generating technologies are collected for each power project.

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.

Shakespeare and Company Project Dataset: Lending Library Members

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 Members dataset includes information about approximately 5,200 members of Sylvia Beach's Shakespeare and Company lending library.

Data from \"Homogeneous ice nucleation in an ab initio machine learning model\"

Pablo Miguel Piaggi, Jack Weis, Athanassios Panagiotopoulos, Pablo Debenedetti & Roberto Car

Shakespeare and Company Project Dataset: Lending Library Books

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
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.

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...

Registration Year

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Affiliations

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