cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10431616
title: Achieving sub-0.5-Angstrom resolution ptychography in an uncorrected electron microscope

description: Abstract: Sub-angstrom resolution has long been limited to aberration-corrected electron microscopy, where it is a powerful tool for understanding the atomic structure and properties of matter.  Here, we demonstrate electron ptychography in an uncorrected scanning transmission electron microscope (STEM) with deep sub-angstrom spatial resolution down to 0.44 Ångstrom, exceeding the conventional resolution of aberration-corrected tools and rivaling their highest ptychographic resolutions. Our approach, which we demonstrate on twisted 2D materials in a widely-available commercial microscope, far surpasses prior ptychographic resolutions (1 to 5 Ångstroms) of uncorrected STEMs.  We further show how geometric aberrations can create optimized, structured beams for dose-efficient electron ptychography. Our results demonstrate that expensive aberration correctors are no longer required for deep sub-angstrom resolution.
DOI: 10.5281/zenodo.7967608
title: Ptychography Dataset

description: Huang group's work
DOI: 10.5281/zenodo.10431683
title: Achieving sub-0.5-Angstrom resolution ptychography in an uncorrected electron microscope

description: Abstract: Sub-angstrom resolution has long been limited to aberration-corrected electron microscopy, where it is a powerful tool for understanding the atomic structure and properties of matter.  Here, we demonstrate electron ptychography in an uncorrected scanning transmission electron microscope (STEM) with deep sub-angstrom spatial resolution down to 0.44 Ångstrom, exceeding the conventional resolution of aberration-corrected tools and rivaling their highest ptychographic resolutions. Our approach, which we demonstrate on twisted 2D materials in a widely-available commercial microscope, far surpasses prior ptychographic resolutions (1 to 5 Ångstroms) of uncorrected STEMs.  We further show how geometric aberrations can create optimized, structured beams for dose-efficient electron ptychography. Our results demonstrate that expensive aberration correctors are no longer required for deep sub-angstrom resolution.
DOI: 10.5281/zenodo.10621271
title: Achieving sub-0.5-Angstrom resolution ptychography in an uncorrected electron microscope

description: Abstract: Sub-angstrom resolution has long been limited to aberration-corrected electron microscopy, where it is a powerful tool for understanding the atomic structure and properties of matter.  Here, we demonstrate electron ptychography in an uncorrected scanning transmission electron microscope (STEM) with deep sub-angstrom spatial resolution down to 0.44 Ångstrom, exceeding the conventional resolution of aberration-corrected tools and rivaling their highest ptychographic resolutions. Our approach, which we demonstrate on twisted 2D materials in a widely-available commercial microscope, far surpasses prior ptychographic resolutions (1 to 5 Ångstroms) of uncorrected STEMs.  We further show how geometric aberrations can create optimized, structured beams for dose-efficient electron ptychography. Our results demonstrate that expensive aberration correctors are no longer required for deep sub-angstrom resolution.
DOI: 10.5281/zenodo.7964153
title: Achieving sub-0.5-Angstrom resolution ptychography in an uncorrected electron microscope

description: Abstract: Sub-angstrom resolution has long been limited to aberration-corrected electron microscopy, where it is a powerful tool for understanding the atomic structure and properties of matter.  Here, we demonstrate electron ptychography in an uncorrected scanning transmission electron microscope (STEM) with deep sub-angstrom spatial resolution down to 0.44 Ångstrom, exceeding the conventional resolution of aberration-corrected tools and rivaling their highest ptychographic resolutions. Our approach, which we demonstrate on twisted 2D materials in a widely-available commercial microscope, far surpasses prior ptychographic resolutions (1 to 5 Ångstroms) of uncorrected STEMs.  We further show how geometric aberrations can create optimized, structured beams for dose-efficient electron ptychography. Our results demonstrate that expensive aberration correctors are no longer required for deep sub-angstrom resolution.
DOI: 10.5281/zenodo.7964154
title: Data for Deep Sub-Angstrom Ptychography in an Uncorrected Electron Microscope

description: Huang group's work
DOI: 10.34740/kaggle/dsv/7855231
title: US counties COVID 19 dataset
DOI: 10.21966/ks3a-kg21
title: Cryosphere - Glaciers and Icefields - 2020 - Airborne Coastal Observatory - British Columbia - Canada
title: Cryosphère - Glaciers et champs de glace - 2020 - Observatoire côtier aéroporté - Colombie-Britannique - Canada

description: The Airborne Coastal Observatory (ACO) is an aerial remote sensing platform used by the Hakai Institute to survey landscapes in detail. A Piper Navajo aircraft carries an array of integrated airborne mapping sensors installed to collect data in concert. The aircraft is operated and maintained by Kisik Aerial Surveys (Delta, BC).  
Glaciers and ice fields research is conducted throughout British Columbia, Canada. Sites are listed in the table below. The primary objective of the data capture is to monitor the spatial extent of glacier and snow pack over time. The primary researcher is Dr. Brian Menounos from the University of Northern British Columbia. Point density ranges from 1-12 points per square meter for these projects. Please contact data@hakai.org for more detailed project specifications.

The following sites were mapped in 2020 by ACO :Columbia Ice Field, Castle Glacier, Zilmer Glacier, Nordic Glacier, Conrad Glacier, Yoho-Peyto Glaciers, Kokanee Glacier, Haig Glacier, Klinaklini, Place Glacier, Bridge Glacier, Illecillewaet Glacier, Mt Waddington, Lajoie + Bridge Glacier, Vancouver Island Glaciers, Garibaldi Park Ice, Mt Robson Prov. Park, and Joffre Provincial Park.
description: L'Airborne Coastal Observatory (ACO) est une plateforme de télédétection aérienne utilisée par l'Institut Hakai pour étudier les paysages en détail. Un avion Piper Navajo transporte un ensemble de capteurs cartographiques aéroportés intégrés installés pour collecter des données de concert. L'avion est exploité et entretenu par Kisik Aerial Surveys (Delta, BC). 
La recherche sur les glaciers et les champs de glace est menée dans toute la Colombie-Britannique, au Canada. Les sites sont répertoriés dans le tableau ci-dessous. L'objectif principal de la saisie des données est de surveiller l'étendue spatiale du glacier et du manteau neigeux au fil du temps. Le principal chercheur est le Dr Brian Menounos de l'Université du Nord de la Colombie-Britannique. La densité de points varie de 1 à 12 points par mètre carré pour ces projets. Veuillez contacter data@hakai.org pour obtenir des spécifications plus détaillées du projet.

Les sites suivants ont été cartographiés en 2020 par l'ACO : champ de glace Columbia, glacier Castle, glacier Zilmer, glacier Nordic, glacier Conrad, glaciers Yoho-Peyto, glacier Kokanee, glacier Haig, Klinaklini, glacier Place, glacier Bridge, glacier Illecillewaet, mont Waddington, glacier Lajoie + Bridge, île de Vancouver Glaciers, glace du parc Garibaldi, province du mont Robson Park et le parc provincial Joffre.
DOI: 10.25345/c5n29pj1f
title: MassIVE MSV000094331 - Heterogeneity in Lung Compartment Inflammatory Cell Protein Interactions in ARDS
title: We compared the bronchoalveolar lavage cell proteins from healthy controls (n=3) to acute respiratory distress syndrome (ARDS, n=6). Subgroup analysis was performed to determine the differences between ARDS survivors (n=3) and non-survivors (n=3). The cells were processed to maximize protein recovery, followed by trypsin digestion and labeling with TMT-10Plex reagent. Spectral data acquisition was conducted using 2D LC-MS/MS Orbitrap Fusion instrumentation.
DOI: 10.5281/zenodo.10819438
title: Data supporting "Stimulated emission does not radiate in a pure dipole pattern"

description: Image data presented in figure 3 (15_9_series_I.h5) and figure 4 (25_10_series_J.h5) of the manuscript Stimulated emission does not radiate in a pure dipole pattern. Each h5 file contains image data as an EArray as well as relevant metadata. It is recommended to open them using the PYthon Microscopy Environment (PYME; https://zenodo.org/doi/10.5281/zenodo.4289803). They were processed using the included iPython notebooks. Please see the readme.txt file if you wish to use these notebooks.
DOI: 10.5281/zenodo.10819439
title: Data supporting "Stimulated emission does not radiate in a pure dipole pattern"

description: Image data presented in figure 3 (15_9_series_I.h5) and figure 4 (25_10_series_J.h5) of the manuscript Stimulated emission does not radiate in a pure dipole pattern. Each h5 file contains image data as an EArray as well as relevant metadata. It is recommended to open them using the PYthon Microscopy Environment (PYME; https://zenodo.org/doi/10.5281/zenodo.4289803). They were processed using the included iPython notebooks. Please see the readme.txt file if you wish to use these notebooks.
DOI: 10.22002/xz4cp-hyd02
title: .RAW and .txt files associated with "Analysis of intramolecular carbon isotope distributions in alanine by electrospray ionization Orbitrap mass spectrometry"

description: This repository contains .RAW files and .txt files extracted from those .RAW files using FTStatistic which are used in the publication: "Analysis of intramolecular carbon isotope distributions in alanine by electrospray ionization Orbitrap mass spectrometry"
DOI: 10.21966/6xx9-1y19
title: Orthophoto High Compression 0.25m resolution Mosaic - 2012 - Calvert Island - British Columbia - Canada
title: Mosaïque orthophoto haute compression résolution 0,25 m - 2012 - Calvert Island - Colombie-Britannique - Canada

description: This lightweight mosaic of 2012 orthophotos covering the entire Calvert Island at 0.25m resolution was created from 589 individual orthophotos covering the entire extent of Calvert Island. 

JPEG200 compression has been utilized to create this mosaic dataset. This mosaic was created with the intent to provide Hakai researchers, staff and collaborators with a "lightweight" single imagery file which provides coverage for the entire Calvert Island at very high resolution. By employing the JPEG2000 compression, the mosaic has been reduced to >1/4 of the total size that would be obtained by mosaicking all the individual orthophotos in their native TIFF format. While it is expected that such a high compression mechanism would have an impact on the quality of the imagery, the end result in this mosaic is hardly distinguishable visibly from the original air photos. 

The air photos / orthophotos were acquired by Hakai through Terra Remote Sensing - CEDD Lab UVic - Hyperspectral Lab UVic.

These orthophotos have the highest available spatial resolution that covers the entire Calvert / Hecate area. Major efforts were used to process individual orthophotos to have a seamless look by the CEDD Lab UVic.
description: Cette mosaïque légère d'orthophotos de 2012 couvrant l'ensemble de l'île Calvert à une résolution de 0,25 m a été créée à partir de 589 orthophotos individuelles couvrant toute l'étendue de l'île Calvert. 

La compression JPEG200 a été utilisée pour créer cette mosaïque. Cette mosaïque a été créée dans le but de fournir aux chercheurs, au personnel et aux collaborateurs de Hakai un fichier d'imagerie unique « léger » qui couvre l'ensemble de l'île Calvert à très haute résolution. En utilisant la compression JPEG2000, la mosaïque a été réduite à >1/4 de la taille totale qui serait obtenue en mosaïquant toutes les orthophotos individuelles dans leur format TIFF natif. Bien que l'on s'attende à ce qu'un tel mécanisme de compression ait un impact sur la qualité de l'imagerie, le résultat final de cette mosaïque ne se distingue guère visiblement des photos aériennes originales. 

Les photos aériennes et orthophotos ont été acquises par Hakai par le biais de Terra Remote Sensing - CEDD Lab UVic - Hyperspectral Lab UVic.

Ces orthophotos ont la résolution spatiale la plus élevée disponible qui couvre l'ensemble de la zone Calvert/Hécate. Des efforts importants ont été déployés pour traiter les orthophotos individuelles afin d'obtenir un aspect homogène par le CEDD Lab UVic.
DOI: 10.5281/zenodo.10823281
title: Dataset for 'Mapping twist-tuned multi-band topology in bilayer WSe$_2$'

description: Datasets and code for the manuscript 'Mapping twist-tuned multi-band topology in bilayer WSe2.' See 'README.txt' for further details.
DOI: 10.5281/zenodo.10823282
title: Dataset for 'Mapping twist-tuned multi-band topology in bilayer WSe$_2$'

description: Datasets and code for the manuscript 'Mapping twist-tuned multi-band topology in bilayer WSe2.' See 'README.txt' for further details.
DOI: 10.5281/zenodo.10819974
title: Experimental study of the effect of molecular collision frequency and adsorption capacity on gas seepage flux in coal
DOI: 10.5281/zenodo.10819975
title: Experimental study of the effect of molecular collision frequency and adsorption capacity on gas seepage flux in coal
DOI: 10.5281/zenodo.10823221
title: Experimental study of the effect of molecular collision frequency and adsorption capacity on gas seepage flux in coal
DOI: 10.5281/zenodo.10633814
title: RS3L: A jet tagging dataset for self-supervised learning based on re-simulation

description: Jet tagging dataset used for "Re-Simulation-based Self-Supervised Learning" (RS3L, arXiv:2403.07066). Simulated partons are re-showered with various parton shower configurations and reconstructed with the Delphes3 detector software. The singletons array contains information about the jet and has dimensions N_examples x N_augmentations x N_singletons. The augmenations are ordered by: 1. nominal scenario: jet showered with Pythia82. changing the numerical seed in Pythia83. changing the scale controlling the probability for final state radiation by 1/sqrt(2)4. changing the scale controlling the probability for final state radiation by sqrt(2)5. using Herwig7 as parton shower

The variables stored in the singletons array are:

singletons = ['jettype','parton1_pt','parton1_eta','parton1_phi','parton1_e','parton2_pt','parton2_eta','parton2_phi','parton2_e', 'jet_pt','jet_eta','jet_phi','jet_e','jet_msd','jet_n2']

For gluon-initiated jets, parton1 and parton2 are the two gluon daughters (see below). For any other jet type, parton1 is the main particle (W, H, Z, or single quark), and parton2 is filled with 0s.

The jet_pflow_cands contains the particles clustered into the jet. The array has a shape N_examples x N_augmentations x N_features x N_particles.The features per particle are:

features = ['pt','relpt','eta','phi','dr','e','rele','charge','pdgid','d0','dz']The jettype gives the parton at the origin of the jet: jettype: 1: q2: c3: b4: H->bb5: g->qq6: g->cc7: g->bb8: g->gg9: W->two quarks10: Z->qq11: Z->bb
DOI: 10.5281/zenodo.10633815
title: RS3L: A jet tagging dataset for self-supervised learning based on re-simulation

description: Jet tagging dataset used for "Re-Simulation-based Self-Supervised Learning" (RS3L, arXiv:2403.07066). Simulated partons are re-showered with various parton shower configurations and reconstructed with the Delphes3 detector software. The singletons array contains information about the jet and has dimensions N_examples x N_augmentations x N_singletons. The augmenations are ordered by: 1. nominal scenario: jet showered with Pythia82. changing the numerical seed in Pythia83. changing the scale controlling the probability for final state radiation by 1/sqrt(2)4. changing the scale controlling the probability for final state radiation by sqrt(2)5. using Herwig7 as parton shower

The variables stored in the singletons array are:

singletons = ['jettype','parton1_pt','parton1_eta','parton1_phi','parton1_e','parton2_pt','parton2_eta','parton2_phi','parton2_e', 'jet_pt','jet_eta','jet_phi','jet_e','jet_msd','jet_n2']

For gluon-initiated jets, parton1 and parton2 are the two gluon daughters (see below). For any other jet type, parton1 is the main particle (W, H, Z, or single quark), and parton2 is filled with 0s.

The jet_pflow_cands contains the particles clustered into the jet. The array has a shape N_examples x N_augmentations x N_features x N_particles.The features per particle are:

features = ['pt','relpt','eta','phi','dr','e','rele','charge','pdgid','d0','dz']The jettype gives the parton at the origin of the jet: jettype: 1: q2: c3: b4: H->bb5: g->qq6: g->cc7: g->bb8: g->gg9: W->two quarks10: Z->qq11: Z->bb
DOI: 10.24432/c5q90h
title: Smartphone Dataset for Anomaly Detection in Crowds
DOI: 10.18739/a28k74z49
title: Orthomosaic Image and Digital Surface Model for Point Lay (Kali), Alaska, 26 June 2022

description: The Native Village of Point Lay (Kali) on the North Slope of Alaska has been identified as the second-most permafrost thaw-affected community in the state of Alaska (Denali Commission, 2019). The village has 82 residential units, housing a population of approximately 330. There are several North Slope Borough municipal structures and the Kali School that serve the community. Most of the residential buildings in the village are built on an elevated surface underlain by ice-rich permafrost that is susceptible to thaw and terrain subsidence.
 This dataset consists of an orthomosaic and digital surface model (DSM) derived from drone surveys on 26 June 2022 in Point Lay, Alaska. 990 digital images were acquired from a DJI Phantom 4 Real-Time Kinematic (DJI P4RTK) quadcopter with a DJI D-RTK 2 Mobile Base Station. The mapped area was around 130 hectares (ha). The drone system was flown at 120 meters (m) above ground level (agl) and flight speeds varied from 7–8 meters/second (m/s). The orientation of the camera was set to 90 degrees (i.e. looking straight down). The along-track overlap and across-track overlap of the mission were set at 80 percent (%) and 70%, respectively. All images were processed in the software Pix4D Mapper (v. 4.7.5) using the standard 3D Maps workflow and the accurate geolocation and orientation calibration method to produce the orthophoto mosaic and digital surface model at spatial resolutions of 5 and 10 centimeters (cm), respectively. A Leica Viva differential global positioning system (GPS) provided ground control for the mission and the data were post-processed to WGS84 UTM Zone 5 North in Ellipsoid Heights (meters). Elevation information derived over waterbodies is noisy and does not represent the surface elevation of the feature.
DOI: 10.18739/a24t6f50k
title: Orthomosaic Image and Digital Surface Model for the Navigating the New Arctic, Ice-rich Permafrost Systems (IRPS) field sites, Prudhoe Bay Oilfields, northern Alaska, 29 August 2021

description: Ice-rich permafrost is ground that is frozen all year round for two or more years and contains particularly large amounts of water that will be released upon thawing. This ice is the element of Arctic landscapes most susceptible to climate warming. Nearly 50% of the Arctic has ice-rich permafrost. For example, the upper 4-5 meters of the land along Alaska's northern coast contains an estimated 77% ice. Thawing of ice-rich permafrost affects entire arctic ecosystems and makes the ground unstable to build upon. This dataset consists of an orthomosaic and digital surface model (DSM) derived from drone surveys on 29 August 2021 at the Navigating the New Arctic, Ice-rich Permafrost Systems project field sites, in collaboration with the PermaSense project, in the Prudhoe Bay Oilfields. 2,463 digital images were acquired from a DJI Phantom 4 Real-Time Kinematic (DJI P4RTK) quadcopter with a DJI D-RTK 2 Mobile Base Station. The mapped area was around 232 hectares (ha). The drone system was flown at 100 meters (m) above ground level (agl) and flight speeds varied from 7–8 meters/second (m/s). The orientation of the camera was set to 90 degrees (i.e. looking straight down). The along-track overlap and across-track overlap of the mission were set at 80% and 70%, respectively. All images were processed in the software Pix4D Mapper (v. 4.6.4) using the standard 3D Maps workflow and the accurate geolocation and orientation calibration method to produce the orthophoto mosaic and digital surface model at spatial resolutions of 5 and 10 centimeters (cm), respectively. A Leica Viva differential global positioning system (GPS) provided ground control for the mission and the data were post-processed to WGS84 UTM Zone 6 North in Ellipsoid Heights (meters). Elevation information derived over waterbodies is noisy and does not represent the surface elevation of the feature.
DOI: 10.18739/a2125qb64
title: University of Alaska, Fairbanks, T Field; Classified LiDAR Point Cloud, Digital Surface Model, Digital Terrain Model, Orthophoto Mosaic, and Multispectral Orthomosaic Imagery; Fairbanks, Alaska; 18 August 2023

description: The University of Alaska Fairbanks T Field is a legacy farm field that is part of the National Science Foundation (NSF) Funded Permafrost Grown project. We are studying the long-term effects of permafrost thaw following initial clearing for cultivation purposes. In this regard, we have acquired very high resolution light detection and ranging (LiDAR) data and digital photography from a DJI M300 drone using a Zenmuse L1 and a MicaSense RedEdge-P camera. The Zenmuse L1 integrates a Livox Lidar module, a high-accuracy inertial measurement units (IMU), and a camera with a 1-inch CMOS on a 3-axis stabilized gimbal. The MicaSense RedEdge-P camera has five multispectral bands and a high-resolution panchromatic band. The drone was configured to fly in real-time kinematic (RTK) mode at an altitude of 60 meters above ground level using the DJI D-RTK 2 base station. Data was acquired using a 50% sidelap and a 70% frontlap for the Zenmuse L1 and an 80% sidelap and a 75% frontlap for the MicaSense. Additional ground control was established with a Leica GS18 global navigation satellite system (GNSS) and all data have been post-processed to World Geodetic System 1984 (WGS84) universal transverse mercator (UTM) Zone 6 North using ellipsoid heights. Data outputs include a two-class-classified LiDAR point cloud, digital surface model, digital terrain model, an orthophoto mosaic, and a multispectral orthoimage consisting of five bands. Image acquisition occurred on 18 August 2023.
DOI: 10.5281/zenodo.10823307
title: uiPSF datasets for Figure 2

description:  

Fig2_2ch_dataset

Dual-color ratiometric imaging of NPC 



Cell data (Fig.2c-d): 



01_191009_u2os_course_96_WGA_3D_ritu_1



Bead data (Fig.2a-b):



190910_beads3Ddualcolor_M2




Fig2_4pi_dataset

4Pi-SMLM imaging of NPC



Cell data (Fig.2h-i, Fig.3d-f):



cell3_nup96_mMaple_045



Bead data (Fig.2e-g)



40nm_600
DOI: 10.5281/zenodo.10823308
title: uiPSF datasets for Figure 2

description:  

Fig2_2ch_dataset

Dual-color ratiometric imaging of NPC 



Cell data (Fig.2c-d): 



01_191009_u2os_course_96_WGA_3D_ritu_1



Bead data (Fig.2a-b):



190910_beads3Ddualcolor_M2




Fig2_4pi_dataset

4Pi-SMLM imaging of NPC



Cell data (Fig.2h-i, Fig.3d-f):



cell3_nup96_mMaple_045



Bead data (Fig.2e-g)



40nm_600
DOI: 10.5281/zenodo.10823335
title: Statistical Analysis of the submitted paper

description: Statistical Analysis of the submitted paper to the Journal: Contributions to the knowledge of cumaceans (Crustacea, Peracarida) in a shallow-water hydrothermal system at Mexican Central Pacific.
DOI: 10.5281/zenodo.10823336
title: Statistical Analysis of the submitted paper

description: Statistical Analysis of the submitted paper to the Journal: Contributions to the knowledge of cumaceans (Crustacea, Peracarida) in a shallow-water hydrothermal system at Mexican Central Pacific.
DOI: 10.5519/qd.u0dlrkv4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (11 records)