15 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...

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.

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.

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 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....

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.

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...

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...

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 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...

Supplemental Data for N management paper

Yixin Guo & Denise Mauzerall

Registration Year

  • 2020
    15

Resource Types

  • Dataset
    15

Affiliations

  • Princeton University
    15
  • Boston University
    1