cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6552691
title: High-fidelity photonic quantum logic gate based on near-optimal Rydberg single-photon source

description: Compared to other types of qubits, photon is one of a kind due to its unparalleled advantages in long-distance quantum information exchange. Therefore, photon is a natural candidate for building a large-scale, modular optical quantum computer operating at room temperature. However, low-fidelity two-photon quantum logic gates and their probabilistic nature result in a large resource overhead for fault tolerant quantum computation. While the probabilistic problem can in principle be solved by employing multiplexing and error correction, the fidelity of linear-optical quantum logic gate is ultimately limited by the imperfections of single photons. Here, we report the demonstration of a linear-optical quantum logic gate with truth table fidelity of 99.84(3)% and entangling gate fidelity of 99.69(4)% post-selected upon the detection of photons. The achieved high gate fidelities are made possible by our near-optimal Rydberg single-photon source. Our work paves the way for scalable photonic quantum applications based on near-optimal single-photon qubits and photon-photon gates.
DOI: 10.5281/zenodo.6552690
title: High-fidelity photonic quantum logic gate based on near-optimal Rydberg single-photon source

description: Compared to other types of qubits, photon is one of a kind due to its unparalleled advantages in long-distance quantum information exchange. Therefore, photon is a natural candidate for building a large-scale, modular optical quantum computer operating at room temperature. However, low-fidelity two-photon quantum logic gates and their probabilistic nature result in a large resource overhead for fault tolerant quantum computation. While the probabilistic problem can in principle be solved by employing multiplexing and error correction, the fidelity of linear-optical quantum logic gate is ultimately limited by the imperfections of single photons. Here, we report the demonstration of a linear-optical quantum logic gate with truth table fidelity of 99.84(3)% and entangling gate fidelity of 99.69(4)% post-selected upon the detection of photons. The achieved high gate fidelities are made possible by our near-optimal Rydberg single-photon source. Our work paves the way for scalable photonic quantum applications based on near-optimal single-photon qubits and photon-photon gates.
DOI: 10.34740/kaggle/dsv/3678322
title: ECB speeches etc. 1997 to 2022-05-22
DOI: 10.6084/m9.figshare.19811839
title: Cardiovascular_disease_GWAS_DEP

description: GWAS summary data(CVD in depressed individuals)
DOI: 10.6084/m9.figshare.19811839.v1
title: Cardiovascular_disease_GWAS_DEP

description: GWAS summary data(CVD in depressed individuals)
DOI: 10.5517/ccdc.csd.cc21d4cz
title: CCDC 1888500: Experimental Crystal Structure Determination

description: Related Article: Zhenni Zhao, Zhi Ou, Subarna Jyoti Kalita, Feng Cheng, Qian Huang, Yangyi Gu, Yuhao Wang, Yan Zhao, Yiyong Huang|2021|Chin.Chem.Lett.|33|3012|doi:10.1016/j.cclet.2021.12.006
DOI: 10.5517/ccdc.csd.cc24ptzn
title: CCDC 1987192: Experimental Crystal Structure Determination

description: Related Article: Zhenni Zhao, Zhi Ou, Subarna Jyoti Kalita, Feng Cheng, Qian Huang, Yangyi Gu, Yuhao Wang, Yan Zhao, Yiyong Huang|2021|Chin.Chem.Lett.|33|3012|doi:10.1016/j.cclet.2021.12.006
DOI: 10.5517/ccdc.csd.cc29ljl1
title: CCDC 2132973: Experimental Crystal Structure Determination

description: Related Article: Ryoto Inaba, Kouki Oka, Takahiro Iwami, Yusuke Miyake, Kunihiko Tajima, Hiroaki Imoto, Kensuke Naka|2022|Inorg.Chem.|61|7318|doi:10.1021/acs.inorgchem.2c00158
DOI: 10.5517/ccdc.csd.cc29ljn3
title: CCDC 2132975: Experimental Crystal Structure Determination

description: Related Article: Ryoto Inaba, Kouki Oka, Takahiro Iwami, Yusuke Miyake, Kunihiko Tajima, Hiroaki Imoto, Kensuke Naka|2022|Inorg.Chem.|61|7318|doi:10.1021/acs.inorgchem.2c00158
DOI: 10.5517/ccdc.csd.cc29ljp4
title: CCDC 2132976: Experimental Crystal Structure Determination

description: Related Article: Ryoto Inaba, Kouki Oka, Takahiro Iwami, Yusuke Miyake, Kunihiko Tajima, Hiroaki Imoto, Kensuke Naka|2022|Inorg.Chem.|61|7318|doi:10.1021/acs.inorgchem.2c00158
DOI: 10.5517/ccdc.csd.cc29ljq5
title: CCDC 2132977: Experimental Crystal Structure Determination

description: Related Article: Ryoto Inaba, Kouki Oka, Takahiro Iwami, Yusuke Miyake, Kunihiko Tajima, Hiroaki Imoto, Kensuke Naka|2022|Inorg.Chem.|61|7318|doi:10.1021/acs.inorgchem.2c00158
DOI: 10.5517/ccdc.csd.cc2bb461
title: CCDC 2154692: Experimental Crystal Structure Determination

description: Related Article: Parasar Kumar, Vikas D. Ghule, Srinivas Dharavath|2022|Org.Lett.|24|3555|doi:10.1021/acs.orglett.2c01225
DOI: 10.5517/ccdc.csd.cc2bb472
title: CCDC 2154693: Experimental Crystal Structure Determination

description: Related Article: Parasar Kumar, Vikas D. Ghule, Srinivas Dharavath|2022|Org.Lett.|24|3555|doi:10.1021/acs.orglett.2c01225
DOI: 10.5517/ccdc.csd.cc29ljm2
title: CCDC 2132974: Experimental Crystal Structure Determination

description: Related Article: Ryoto Inaba, Kouki Oka, Takahiro Iwami, Yusuke Miyake, Kunihiko Tajima, Hiroaki Imoto, Kensuke Naka|2022|Inorg.Chem.|61|7318|doi:10.1021/acs.inorgchem.2c00158
DOI: 10.6084/m9.figshare.19813378
title: Teacher Perceptions Regarding the Purposes of K-12 Education_May 22, 2022_09.38.csv

description: Data set of teacher ratings of 11 ideal and experience-based purposes of education and 14 sources of beliefs.
DOI: 10.34740/kaggle/dsv/3678717
title: Mahanagar Yatayat Dataset
DOI: 10.6084/m9.figshare.19232412
title: processed_data

description: Roary outputs and phylogeny, SNP alignments and phylogeny, BEAST2 xml and output log files, PastML output, and E. coli isolate metadata
DOI: 10.6084/m9.figshare.19232412.v2
title: processed_data

description: Roary outputs and phylogeny, SNP alignments and phylogeny, BEAST2 xml and output log files, PastML output, and E. coli isolate metadata
DOI: 10.5281/zenodo.6569677
title: Example dataset for Tracking Metrics using TrackMate and Oneat

description: In this dataset we compare the automated tracking results using the standard TrackMate algorithms for frame to frame and segment to segment linking with the ground truth dataset. Furthermore we use Oneat to correct the branches of the lineage trees and using oneat as TrackCorrector we recompute the metrics to show improvements over TrackMate track linking algorithms. Simple LAP Tracker + ONEAT Corrector: DET 0.996442089326268<br> TRA 0.9933142771174966<br> CT 0.7296786389413988<br> TF 0.9741634814842467 LAP Tracker (with cost function of quality, sum intensity and track splitting and gap closing) DET 0.9642557291308238<br> TRA 0.9587362720024071<br> CT 0.4040084388185654<br> TF 0.8557374265139681
description: Computational support provided by Jean Zay dynamic access grant: AD011013396, oneat model training and evaluation was performed on Jean Zay compute nodes
DOI: 10.5517/ccdc.csd.cc25pq2p
title: CCDC 2016862: Experimental Crystal Structure Determination

description: Related Article: Michael R. Dworzak, Meaghan M. Deegan, Glenn P. A. Yap, Eric D. Bloch|2021|Inorg.Chem.|60|5607|doi:10.1021/acs.inorgchem.0c03554
DOI: 10.5517/ccdc.csd.cc25pq3q
title: CCDC 2016863: Experimental Crystal Structure Determination

description: Related Article: Michael R. Dworzak, Meaghan M. Deegan, Glenn P. A. Yap, Eric D. Bloch|2021|Inorg.Chem.|60|5607|doi:10.1021/acs.inorgchem.0c03554
DOI: 10.5517/ccdc.csd.cc25pq4r
title: CCDC 2016864: Experimental Crystal Structure Determination

description: Related Article: Michael R. Dworzak, Meaghan M. Deegan, Glenn P. A. Yap, Eric D. Bloch|2021|Inorg.Chem.|60|5607|doi:10.1021/acs.inorgchem.0c03554
DOI: 10.5517/ccdc.csd.cc25pq5s
title: CCDC 2016865: Experimental Crystal Structure Determination

description: Related Article: Michael R. Dworzak, Meaghan M. Deegan, Glenn P. A. Yap, Eric D. Bloch|2021|Inorg.Chem.|60|5607|doi:10.1021/acs.inorgchem.0c03554
DOI: 10.5517/ccdc.csd.cc25pq6t
title: CCDC 2016866: Experimental Crystal Structure Determination

description: Related Article: Michael R. Dworzak, Meaghan M. Deegan, Glenn P. A. Yap, Eric D. Bloch|2021|Inorg.Chem.|60|5607|doi:10.1021/acs.inorgchem.0c03554
DOI: 10.5517/ccdc.csd.cc25pq7v
title: CCDC 2016867: Experimental Crystal Structure Determination

description: Related Article: Michael R. Dworzak, Meaghan M. Deegan, Glenn P. A. Yap, Eric D. Bloch|2021|Inorg.Chem.|60|5607|doi:10.1021/acs.inorgchem.0c03554
DOI: 10.6084/m9.figshare.19121939
title: Supplementary: An agent-based model to assess COVID-19 spread and health systems burden

description: These are the supplementary files for the manuscript entitled "An agent-based model to assess COVID-19 spread and health systems burden". The tables and figures attached are appropriately mentioned in the manuscript.
DOI: 10.6084/m9.figshare.19121939.v3
title: Supplementary: An agent-based model to assess COVID-19 spread and health systems burden

description: These are the supplementary files for the manuscript entitled "An agent-based model to assess COVID-19 spread and health systems burden". The tables and figures attached are appropriately mentioned in the manuscript.
DOI: 10.6084/m9.figshare.19121939.v2
title: Supplementary: An agent-based model to assess COVID-19 spread and health systems burden

description: These are the supplementary files for the manuscript entitled "An agent-based model to assess COVID-19 spread and health systems burden". The tables and figures attached are appropriately mentioned in the manuscript.
DOI: 10.5281/zenodo.6570649
title: Geochemical and genomic data from the NEOM Brine Pool (Gulf of Aqaba)

description: This workbook contains the raw data acquired from the sampling of cores and water collected at 1,800 m depth in the NEOM Brine Pool, Gulf of Aqaba. The file captures the geochronology of the long core (S1-S2), X-ray fluorescence scanning (S3), X-ray diffraction (S4), geochemical analyses of the core sediments and overlying bine, plus associated uncertainties, and measurement precision (S5), and genomics (S6).
DOI: 10.5281/zenodo.6570648
title: Geochemical and genomic data from the NEOM Brine Pool (Gulf of Aqaba)

description: This workbook contains the raw data acquired from the sampling of cores and water collected at 1,800 m depth in the NEOM Brine Pool, Gulf of Aqaba. The file captures the geochronology of the long core (S1-S2), X-ray fluorescence scanning (S3), X-ray diffraction (S4), geochemical analyses of the core sediments and overlying bine, plus associated uncertainties, and measurement precision (S5), and genomics (S6).
DOI: 10.6073/pasta/e963690c42e02248c5eb871a64dc6da1
title: Invertebrates in a retreating coastal forest near Nassawadox, VA , 2019

description: Sampling was conducted on the Eastern Shore of Virginia at Brownsville Preserve, part of the Virginia Coast Reserve LTER and adjacent to Upper Phillips Creek (37.463, -75.835). Plots were established in five zones along the forest-to-salt marsh gradient based on vegetation communities and seedling recruitment. The high forest (HF) is characterized by both coniferous and deciduous tree species, with maximum seedling recruitment. The mid forest (MF) contains primarily coniferous trees and shrubs and shows reduced seedling recruitment. The low forest (LF) canopy shows partial mortality due to salt stress and no tree recruitment; the understory contains primarily invasive (Phragmites australis) but also salt marsh (Spartina patens, Distichlis spicata) plant species. The transition zone (TZ) contains mostly dead mature trees, with its understory dominated by S. patens, D. spicata, and P. australis. The high marsh (HM) does not contain trees and is dominated by S. patens and D. spicata.
DOI: 10.13026/wd7p-qy77
title: Hospitalized patients with heart failure: integrating electronic healthcare records and external outcome data

description: Heart failure is a common reason for hospitalization in the elderly and it is
associated with significant mortality and morbidity. To facilitate
epidemiological studies of heart failure, there is a need for high quality
datasets to be made available to researchers. While several heart failure
datasets have been established in Western countries, there is a paucity of
data available from China. Understanding differences in patient populations
and healthcare systems between China and other countries is important in
providing optimal care. To help address this issue, we created a retrospective
heart failure dataset using electronic health data collected from patients who
were admitted to a hospital in Sichuan, China between 2016 and 2019. The
dataset includes 168 variables for 2,008 patients with heart failure.
DOI: 10.13026/5m60-vs44
title: Hospitalized patients with heart failure: integrating electronic healthcare records and external outcome data

description: Heart failure is a common reason for hospitalization in the elderly and it is
associated with significant mortality and morbidity. To facilitate
epidemiological studies of heart failure, there is a need for high quality
datasets to be made available to researchers. While several heart failure
datasets have been established in Western countries, there is a paucity of
data available from China. Understanding differences in patient populations
and healthcare systems between China and other countries is important in
providing optimal care. To help address this issue, we created a retrospective
heart failure dataset using electronic health data collected from patients who
were admitted to a hospital in Sichuan, China between 2016 and 2019. The
dataset includes 168 variables for 2,008 patients with heart failure.
DOI: 10.21227/87dq-fj61
title: PV_Comparative_Study

description: A database for training/testing maximum power point tracking (MPPT) algorithms.
DOI: 10.34740/kaggle/dsv/3675165
title: Preprocessed Data Frame2
DOI: 10.3886/e170961
title: The Effect of a Longitudinal Narrative Medicine Intervention on Burnout and Resilience in Pediatric Residents

description: This is data from a longitudinal narrative medicine intervention that took place over the course of one year (December 2020 – December 2021), including preliminary data collection, implementation of the intervention, and final data collection. The purpose of the study was to determine if a six month-long narrative medicine intervention in categorical and combined program pediatrics residents at Nationwide Children’s Hospital could change levels of empathy, resilience, self-compassion, burnout, mindfulness, and perceived stress both immediately after the end of the intervention and six months later, as empathy, resilience, self-compassion, and mindfulness have been shown to be negatively correlated with burnout and perceived stress positive correlated with burnout. These six parameters were measured using established surveys with validity evidence. Perceptions of the curriculum were also measured using qualitative survey questions. Demographic data was collected for each individual as well. T0 (before the intervention) and T1 (immediately after the intervention) data was collected in controls and intervention participants, whereas T2 (six months after the end of the intervention) data was only collected in participants. In this file, the quantitative scores are already calculated. Some demographic data was removed to preserve confidentiality. Data was collected via REDCap at the Ohio State University. More details on the data file can be found in the user guide.
DOI: 10.3886/e170961v1
title: The Effect of a Longitudinal Narrative Medicine Intervention on Burnout and Resilience in Pediatric Residents

description: This is data from a longitudinal narrative medicine intervention that took place over the course of one year (December 2020 – December 2021), including preliminary data collection, implementation of the intervention, and final data collection. The purpose of the study was to determine if a six month-long narrative medicine intervention in categorical and combined program pediatrics residents at Nationwide Children’s Hospital could change levels of empathy, resilience, self-compassion, burnout, mindfulness, and perceived stress both immediately after the end of the intervention and six months later, as empathy, resilience, self-compassion, and mindfulness have been shown to be negatively correlated with burnout and perceived stress positive correlated with burnout. These six parameters were measured using established surveys with validity evidence. Perceptions of the curriculum were also measured using qualitative survey questions. Demographic data was collected for each individual as well. T0 (before the intervention) and T1 (immediately after the intervention) data was collected in controls and intervention participants, whereas T2 (six months after the end of the intervention) data was only collected in participants. In this file, the quantitative scores are already calculated. Some demographic data was removed to preserve confidentiality. Data was collected via REDCap at the Ohio State University. More details on the data file can be found in the user guide.
DOI: 10.34740/kaggle/ds/1896823
title: AI4NTD KK2.0 P1.5 STH & SCHm Dataset
DOI: 10.17903/fk2/91ox5m
title: Δείκτες απασχόλησης, κατόχων και μελών γεωργικών εκμεταλλεύσεων στη γεωργίας περιόδου 1981 - 2020

description: Δείκτες απασχολούμενων στον πρωτογενή τομέα ανά περιφέρεια για τα έτη 1981 έως και 2020.
DOI: 10.5281/zenodo.6553029
title: Code, benchmarks and experiment data for the SoCS 2022 paper "Additive Pattern Databases for Decoupled Search"

description: This bundle contains code, scripts and benchmarks for reproducing all experiments reported in the paper. It also contains the data generated for the paper. sievers-et-al-socs2022-fast-downward.zip contains the implementation based on Fast Downward. It also contains the experiment scripts compatible with Lab 7.0 for reproducing all experiments of the paper, under experiments/decoupled-abstractions. The scripts 2022-04-* contain configurations for running the experiments and the script paper-tables-*.py gathers the data and produces plots and tables. (Note that some adjustments to the scripts would need to be done because, e.g., the entire tree is not a repository anymore.) sievers-et-al-socs2022-ipc-benchmarks.zip contains the IPC benchmarks. It consists of the STRIPS IPC benchmarks used in all optimal sequential tracks of IPCs up to 2018 (suite optimal_strips from https://github.com/aibasel/downward-benchmarks). sievers-et-al-socs2022-autoscale-benchmarks.zip contains the Autoscale 21.11 benchmarks (from https://github.com/AI-Planning/autoscale-benchmarks). sievers-et-al-socs2022-lab.tar.gz contains a copy of Lab 7.0 (https://github.com/aibasel/lab). sievers-et-al-socs2022-raw-data.zip and sievers-et-al-socs2022-processed-data.zip contain the experimental data. Directories without the "-eval" ending (sievers-et-al-socs2022-raw-data.zip) contain raw data, distributed over a subdirectory for each experiment. Each of these contain a subdirectory tree structure "runs-*" where each planner run has its own directory. For each run, there are symbolic links to the input PDDL files domain.pddl and problem.pddl (can be resolved by putting the benchmarks directory to the right place), the run log file "run.log" (stdout), possibly also a run error file "run.err" (stderr), the run script "run" used to start the experiment, and a "properties" file that contains data parsed from the log file(s). Directories with the "-eval" (sievers-et-al-socs2022-processed-data.zip) ending contain a "properties" file, which contains a JSON directory with combined data of all runs of the corresponding experiment. In essence, the properties file is the union over all properties files generated for each individual planner run. Note on license: we chose GPL v3.0 or later mainly because we consider our implementation based on Fast Downward the main contribution of this package, and Fast Downward comes with GPL v3.0. We only include a copy of Lab and the benchmarks for convenience.
DOI: 10.5281/zenodo.6553028
title: Code, benchmarks and experiment data for the SoCS 2022 paper "Additive Pattern Databases for Decoupled Search"

description: This bundle contains code, scripts and benchmarks for reproducing all experiments reported in the paper. It also contains the data generated for the paper. sievers-et-al-socs2022-fast-downward.zip contains the implementation based on Fast Downward. It also contains the experiment scripts compatible with Lab 7.0 for reproducing all experiments of the paper, under experiments/decoupled-abstractions. The scripts 2022-04-* contain configurations for running the experiments and the script paper-tables-*.py gathers the data and produces plots and tables. (Note that some adjustments to the scripts would need to be done because, e.g., the entire tree is not a repository anymore.) sievers-et-al-socs2022-ipc-benchmarks.zip contains the IPC benchmarks. It consists of the STRIPS IPC benchmarks used in all optimal sequential tracks of IPCs up to 2018 (suite optimal_strips from https://github.com/aibasel/downward-benchmarks). sievers-et-al-socs2022-autoscale-benchmarks.zip contains the Autoscale 21.11 benchmarks (from https://github.com/AI-Planning/autoscale-benchmarks). sievers-et-al-socs2022-lab.tar.gz contains a copy of Lab 7.0 (https://github.com/aibasel/lab). sievers-et-al-socs2022-raw-data.zip and sievers-et-al-socs2022-processed-data.zip contain the experimental data. Directories without the "-eval" ending (sievers-et-al-socs2022-raw-data.zip) contain raw data, distributed over a subdirectory for each experiment. Each of these contain a subdirectory tree structure "runs-*" where each planner run has its own directory. For each run, there are symbolic links to the input PDDL files domain.pddl and problem.pddl (can be resolved by putting the benchmarks directory to the right place), the run log file "run.log" (stdout), possibly also a run error file "run.err" (stderr), the run script "run" used to start the experiment, and a "properties" file that contains data parsed from the log file(s). Directories with the "-eval" (sievers-et-al-socs2022-processed-data.zip) ending contain a "properties" file, which contains a JSON directory with combined data of all runs of the corresponding experiment. In essence, the properties file is the union over all properties files generated for each individual planner run. Note on license: we chose GPL v3.0 or later mainly because we consider our implementation based on Fast Downward the main contribution of this package, and Fast Downward comes with GPL v3.0. We only include a copy of Lab and the benchmarks for convenience.
DOI: 10.5281/zenodo.6570678
title: Ranked distance matrices for WGSUniFrac experiments - GTDB

description: 2 distance matrices for organisms from GTDB, for WGSUniFrac project.
DOI: 10.5281/zenodo.6570677
title: Ranked distance matrices for WGSUniFrac experiments - GTDB

description: 2 distance matrices for organisms from GTDB, for WGSUniFrac project.