69 Works

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 a flume experiment of passive scalar diffusion within vegetation canopies using laser-induced fluorescence

Khaled Ghannam, Davide Poggi, Gabriel Katul & Elie Bou-Zeid
This dataset is a sequence of laser-induced fluorescence images of a dye injected in a channel flow with canopy-like stainless steel rods simulating a vegetation canopy stand. The data is acquired close to the channel bottom at z/h=0.2, where z is the height referenced to the channel bed and h is the canopy height. The dataset provides spatial distribution of scalar concentration in a plane parallel to the channel bed. The data has been used...

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...

Static measurements of a NACA 0021 airfoil at high Reynolds numbers

Claudia Brunner, Janik Kiefer, Martin O. L. Hansen & Marcus Hultmark
Reynolds number effects on the aerodynamics of the moderately thick NACA 0021 airfoil were experimentally studied by means of surface-pressure measurements. The use of a high-pressure wind tunnel allowed for variation of the chord Reynolds number over a range of 5.0 × 10^5 ≤ Re_c ≤ 7.9 × 10^6. The angle of attack was incrementally increased and decreased over a range of 0° ≤ alpha ≤ 40°, spanning both the attached and stalled regime at...

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).

Methane Emissions from Natural Gas Vehicles in China

Da Pan, Lei Tao, Levi Golston, David Miller , Tong Zhu, Yue Qin, Yan Zhang & Denise Mauzerall

Supporting data for Baldwin et al 2019 \"Temporally Compound Heat Waves and Global Warming: An Emerging Hazard\"

Jane W Baldwin, Jay Benjamin Dessy, Gabriel A Vecchi, Michael Oppenheimer, Liwei Jia, Richard G Gudgel & Karen Paffendorf
This data is compiled to support a publication in journal Earth's Future: Baldwin et al 2019 "Temporally Compound Heat Waves and Global Warming: An Emerging Hazard". The GCM GFDL CM2.5-FLOR was used to produce the raw climate model data. The model code for FLOR is freely available and can be downloaded at https://www.gfdl.noaa.gov/cm2-5-and-flor/. Code used to calculate the derived heat wave statistics data and produce figures in the paper is available at https://github.com/janewbaldwin/Compound-Heat-Waves The heat...

Data corresponding to our paper on \"Chemotactic smoothing of collective migration\"

Tapomoy Bhattacharjee, Daniel Amchin, Ricard Alert, Jenna Ott & Sujit Datta

Derrida's Margins datasets

Katie Chenoweth, Alexander Baron-Raiffe & Rebecca Koeser
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 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.

Shakespeare and Company Project Dataset: Lending Library Members

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

Visual Analogy Extrapolation Challenge (VAEC)

Taylor Webb, Zachary Dulberg, Steven Frankland, Alexander Petrov, Randall O'Reilly & Jonathan Cohen
Extrapolation -- the ability to make inferences that go beyond the scope of one's experiences -- is a hallmark of human intelligence. By contrast, the generalization exhibited by contemporary neural network algorithms is largely limited to interpolation between data points in their training corpora. In this paper, we consider the challenge of learning representations that support extrapolation. We introduce a novel visual analogy benchmark that allows the graded evaluation of extrapolation as a function of...

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...

Integrative Mechanisms of Social Attention

Branden Bio & Michael Graziano

Estimated The New York Times paragraph- and article-level sentiment on China topics, and aggregated survey attitude toward China

Junming Huang, Gavin Cook & Yu Xie
Here we publish the data used in paper "Junming Huang, Gavin Cook, and Yu Xie, Large-scale Quantitative Evidence of Media Impact on Public Opinion toward China". This dataset include estimated sentiments on The New York Times on China in eight topics from 1970 to 2019, and a time series of public attitude aggregated from surveys on China.

Data for \"Ammonia Dry Deposition in an Alpine Ecosystem Traced to Agricultural Emission Hotpots\"

Da Pan, Katherine Benedict, Levi Golston, Rui Wang, Jeffrey Jr Collett, Lei Tao, Kang Sun, Xuehui Guo, Jay Ham, Anthony Prenni, Bret Schichtel, Tomas Mikoviny, Markus Müller, Armin Wisthaler & Mark Zondlo

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 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.

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

Audiovisual Pieces for Computer-Assisted Meta-Composition Workflow

Florent Pierre Ghys
Dataset for Florent Ghys' PhD dissertation in Music Composition titled "Designing a Computer-Assisted Meta-Composition Workflow: Stimulation of a Ludic Creative Process Through the Production of Audiovisual Pieces"

TIGRESS simulation data

Chang-Goo Kim, Eve Ostriker, Munan Gong & Jeong-Gyu Kim
We present the public data release of the TIGRESS (Three-phase Interstellar Medium in Galaxies Resolving Evolution with Star Formation and Supernova Feedback) simulations. This release includes simulations representing the solar neighborhood environment at spatial resolutions of 2 and 4 pc. The original magneto-hydrodynamic simulation data is published along with data products from post-processing, including chemistry, CO emission line, and photoionization (HII regions). Data reading and analysis examples are provided in Python.

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