45 Works

Chiral Tetramer Molecular Model

Nikolai Petsev, Frank H. Stillinger & Pablo G. Debenedetti

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.

bitKlavier Grand Sample Library—House ORTF Mic Image

Matthew Wang, Andrés Villalta, Jeffrey Gordon, Katie Chou, Christien Ayers & Daniel Trueman

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...

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.

bitKlavier Grand Sample Library—Tail Omni Mic Image

Matthew Wang, Andrés Villalta, Jeffrey Gordon, Katie Chou, Christien Ayers & Daniel Trueman

bitKlavier Grand Sample Library—Binaural Mic Image

Matthew Wang, Andrés Villalta, Jeffrey Gordon, Katie Chou, Christien Ayers & Daniel Trueman

Alternative energy vehicle deployment coupled with decarbonizing electricity generation amplifies climate, air quality and health co-benefits in China

Liqun Peng, Feiqi Liu, Mi Zhou, Mingwei Li, Qiang Zhang & Denise Mauzerall
China is the world's largest carbon emitter and suffers from severe air pollution. About one million deaths in China were attributable to air pollution in 2017. Alternative energy vehicles (AEVs), e.g. electric, hydrogen fuel cell, and natural gas vehicles, can help achieve both carbon emission mitigation and air quality improvement. However, climate, air quality and health co-benefit of AEVs powered by deeply decarbonized electricity generation remain poorly quantified. Here, we conduct a quantitative integrated assessment...

High Reynolds Number Wind Turbine Wake Data

Alexander Pique
This dataset is affiliated with the publication https://doi.org/10.1007/s00348-022-03455-0. All of the data provided is necessary to reproduce the results with the aforementioned publication. The data in this repository is for the wake of a wind turbine at high Reynolds numbers. The data is mainly used for reproducing the statistics (deficit and variance profiles) and the phase averaged results.

Data for: Three-Dimensional Morphometry of Ooids in Oolites: a new tool for more accurate and precise paleoenvironmental interpretation

Bolton Howes, Akshay Mehra & Adam Maloof
The prevalence of ooids in the stratigraphic record, and their association with shallow-water carbonate environments, make ooids an important paleoenvironmental indicator. Recent advances in the theoretical understanding of ooid morphology, along with empirical studies from Turks and Caicos, Great Salt Lake, and The Bahamas, have demonstrated that the morphology of ooids is indicative of depositional environment and hydraulic conditions. To apply this knowledge from modern environments to the stratigraphic record of Earth history, researchers measure...

Data from \"Manifestations of metastable criticality in glassy water-like models detected by large-scale structural properties\"

Thomas Gartner, Salvatore Torquato, Roberto Car & Pablo Debenedetti
This dataset contains all data related to the publication "Manifestations of metastable criticality in glassy water-like models detected by large-scale structural properties" by Gartner et al., in preparation 2020. In this work, we used molecular dynamics simulations to explore the relationship between water's polyamorphism (multiple amorphous solid states) and its hypothesized liquid-liquid transition. Using the TIP4P/2005 molecular model of water, we found a surprising signature of water's liquid-liquid critical point in the long-range structure of...

Data from \"Transferability of data-driven, many-body models for CO2 simulations in the vapor and liquid phases\"

Shuwen Yue & Marc Riera Riambau
This dataset comprises of data associated with the publication "Transferability of data-driven, many-body models for CO2 simulations in the vapor and liquid phases", which can be found at https://doi.org/10.1063/5.0080061. The data includes calculations for a Many-Body decomposition, virial coefficient calculations, orientational molecular scan energies, potential energy fields, correlation plots of training and testing data, vapor-liquid equilibrium simulations, liquid density simulations, and solid cell simulations.

bitKlavier Grand Sample Library—Stage Lid ORTF Mic Image

Matthew Wang, Andrés Villalta, Jeffrey Gordon, Katie Chou, Christien Ayers & Daniel Trueman

bitKlavier Grand Sample Library—Stage Lid Omni Mic Image

Matthew Wang, Andrés Villalta, Jeffrey Gordon, Katie Chou, Christien Ayers & Daniel Trueman

Registration Year

  • 2022
    13
  • 2021
    16
  • 2020
    15
  • 2019
    1

Resource Types

  • Dataset
    36
  • Sound
    8
  • Software
    1

Affiliations

  • Princeton University
    45
  • Case Western Reserve University
    2
  • University of California, San Diego
    1
  • Dartmouth College
    1
  • Pennsylvania State University
    1
  • Boston University
    1