cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12482438.v1
title: WMLES of channel and flat-plate TBL flow on unstructured grids

description: Simulation results and OpenFOAM case files from WMLES of turbulent channel flow and flat-plate turbulent boundary layer flow. This dataset accompanies the following paper, please cite it if you make use of the data:<br>T. Mukha et al. Predictive Accuracy of Wall-Modelled Large-Eddy Simulation on Unstructured Grids. Submitted. 2020<br>The contents are divided into zip files with the channel_ and tbl_ prefixes, corresponding the two considered flow cases. A short description of the contetns of each file follows<br>
DOI: 10.6084/m9.figshare.16611655
title: Working title: A Feasibility Study of Training in a Local Community Aimed Upon Health Promotion with Special Emphasis on Musculoskeletal Health Effects. Extended data - Statistical power of the paired t-tests for body composition, regional BMD, and bone turnover markers.

description: Extended data - Statistical power of the paired t-tests for body composition, regional BMD, and bone turnover markers in study "A Feasibility Study of Training in a Local Community Aimed Upon Health Promotion with Special Emphasis on Musculoskeletal Health Effects".
DOI: 10.6084/m9.figshare.16611655.v1
title: Working title: A Feasibility Study of Training in a Local Community Aimed Upon Health Promotion with Special Emphasis on Musculoskeletal Health Effects. Extended data - Statistical power of the paired t-tests for body composition, regional BMD, and bone turnover markers.

description: Extended data - Statistical power of the paired t-tests for body composition, regional BMD, and bone turnover markers in study "A Feasibility Study of Training in a Local Community Aimed Upon Health Promotion with Special Emphasis on Musculoskeletal Health Effects".
DOI: 10.6084/m9.figshare.16611637.v1
title: Parameters_Settings.py

description: Parameters Setting for production planning
DOI: 10.25919/rm70-j472
title: Parkes observations for project P1066 semester 2021APRS_11

description: We propose 36 hrs of Parkes observations to continue our successful Deeper, Wider, Faster (DWF) program to detect fast transients and fast radio burst (FRB) counterparts and help resolve their nature. DWF coordinates over 80 observatories worldwide at all wavelengths, from radio to gamma-ray to detect and follow-up FRBs and other elusive fast (millisecond-to-hours duration) transients. Crucially, we coordinate simultaneous deep, fast-cadenced, wide-field observations at all wavelengths to observe the same field at the same time as Parkes, enabling multi-wavelength detection before, during, and after the radio detection. Little to no multi-wavelength observations to any significant depth have been done on these timescales, leaving this parameter space underexplored. DWF coordinates major facilities to observe with Parkes, such as South Pole Telescope (mm/sub-mm), GROND (infrared), CTIO Dark Energy Camera (optical), Astrosat (UV/X-ray), HXMT (X-ray), HESS (gamma-ray), and Pierre Auger (high-energy). We perform realtime data processing and transient identification at all wavelengths that enables triggering our deep, rapid-response (within minutes) follow up programs for deep spectroscopy and imaging using the world's largest telescopes (e.g., Keck, VLT, Gemini, SALT, ATCA).
DOI: 10.5281/zenodo.4980989
title: Supplementary tables for "Comparative inbreeding analyses in cattle"

description: Supplementary Tables for the manuscript "Comparative analysis of inbreeding parameters and runs of homozygosity islands in two Italian autochthonous cattle breeds mainly raised in the Parmigiano-Reggiano cheese production region"
DOI: 10.6084/m9.figshare.16611637
title: sadf

description: Parameters Setting
DOI: 10.6084/m9.figshare.16611637.v3
title: sadf

description: Parameters Setting
DOI: 10.6084/m9.figshare.16611637.v2
title: Parameters_Settings.py

description: Parameters Setting for production planning
DOI: 10.5281/zenodo.4118900
title: Dataset: Toothbrushing Data and Analysis of its Potential Use in Human Activity Recognition Applications

description: This is the dataset that accompanies the paper 'Dataset: Toothbrushing Data and Analysis of its Potential Use in Human Activity Recognition Applications'. In this paper, we describe and analyze a time-series dataset from toothbrushing activity using brush-attached and wearable sensors. The data was collected from 17 participants when they brushed their teeth over one week in 5 different locations. The dataset consists of 62 toothbrushing sessions for each of the brush-attached and wearable sensor approaches, using both electric and manual brushes. The average duration of each session is 2 minutes. One sensor device was attached to the handle of the brush while the other was worn by the participants as a wrist-watch. We collected the data from a 3-axis accelerometer and a 3-axis gyroscope at a 200 Hz sampling rate. Accompanying code can be found at our GitHub repository https://github.com/icl-mq/toothbrushing-dataset. This repository contains example code demonstrating how to process the data along with the file metadata.
description: Appears in the Proceedings of the 3rd Workshop on Data Acquisition To Analysis (DATA '20)
DOI: 10.5281/zenodo.4118899
title: Dataset: Toothbrushing Data and Analysis of its Potential Use in Human Activity Recognition Applications

description: This is the dataset that accompanies the paper 'Dataset: Toothbrushing Data and Analysis of its Potential Use in Human Activity Recognition Applications'. In this paper, we describe and analyze a time-series dataset from toothbrushing activity using brush-attached and wearable sensors. The data was collected from 17 participants when they brushed their teeth over one week in 5 different locations. The dataset consists of 62 toothbrushing sessions for each of the brush-attached and wearable sensor approaches, using both electric and manual brushes. The average duration of each session is 2 minutes. One sensor device was attached to the handle of the brush while the other was worn by the participants as a wrist-watch. We collected the data from a 3-axis accelerometer and a 3-axis gyroscope at a 200 Hz sampling rate. Accompanying code can be found at our GitHub repository https://github.com/icl-mq/toothbrushing-dataset. This repository contains example code demonstrating how to process the data along with the file metadata.
description: Appears in the Proceedings of the 3rd Workshop on Data Acquisition To Analysis (DATA '20)
DOI: 10.5281/zenodo.4048254
title: LoED: The LoRaWAN at the Edge Dataset

description: This repository contains dataset from nine LoRaWAN gateways collected in an urban environment. The dataset contains raw payload information, along with other metadata from the gateway. The dataset can be cited at: <strong>Dataset: LoED: The LoRaWAN at the Edge Dataset</strong><br> Laksh Bhatia, Michael Breza, Ramona Marfievici, Julie A. McCann<br> Proceedings of the Third Workshop on Data Acquisition To Analysis (DATA '20), 2020 <strong>Files in the folder</strong> <strong>README.md</strong><br> A readme file detailing the gateway location, model and statistics about the data collected at each of the gateways. <strong>Laksh_Bhatia_LoED_LoRaWAN_at_the_edge.pdf</strong><br> A readme file detailing the gateway location, model and statistics about the data collected at each of the gateways. <strong>LoED_LoRaWAN_at_edge_dataset.zip</strong><br> A zip file containing all data files. Data files are in <strong>dd_mm_yyyy.csv</strong> format with one file for every day of the collection campaign <strong>LoED_LoRaWAN_at_edge_dataset-SAMPLE.zip</strong><br> Sample folder with only six days of data collection. <strong>LoED_parser.ipynb</strong><br> A jupyter notebook to generate statistics of the dataset <strong>LoED_parser.html</strong><br> HTML rendering of the LoRaDatasetParser.ipynb notebook <strong>LoED_parser.py</strong><br> A python file to generate basic statistics from the dataset
DOI: 10.6084/m9.figshare.16611787
title: Working title: A Feasibility Study of Training in a Local Community Aimed Upon Health Promotion with Special Emphasis on Musculoskeletal Health Effects. Extended data - Effect size of the Training Program

description: Extended data - Effect size of the Training program in study "A Feasibility Study of Training in a Local Community Aimed Upon Health Promotion with Special Emphasis on Musculoskeletal Health Effects"
DOI: 10.6084/m9.figshare.16611787.v1
title: Working title: A Feasibility Study of Training in a Local Community Aimed Upon Health Promotion with Special Emphasis on Musculoskeletal Health Effects. Extended data - Effect size of the Training Program

description: Extended data - Effect size of the Training program in study "A Feasibility Study of Training in a Local Community Aimed Upon Health Promotion with Special Emphasis on Musculoskeletal Health Effects"
DOI: 10.6073/pasta/11cdd6a2d9961a1f2362ac02e3d4bbb4
title: Interagency Ecological Program and US Fish and Wildlife Service: Juvenile/Larval Fish and Zooplankton collections at Liberty Island, California 2002-2005 & 2013-2019

description: The U.S. Fish and Wildlife Service (USFWS) Lodi Fish and Wildlife Office (LFWO) Delta Juvenile Fish Monitoring Program (DJFMP) has intermittently sampled Liberty Island with various equipment since 2002. Liberty Island was a reclaimed agricultural island until it flooded in 1997-1998 and we subsequently left to passively restore as a tidally influenced wetland. Larval trawls and beach were the only sampling methods used during both early (2002-2005) and late (2009-2019) sampling periods. The main purpose of the sampling was to gather information about fish presence and abundance in Liberty Island during the passive restoration, with an emphasis on reproductive and early life-stages of native species. Larval trawls, or tow nets, were used to catch larval fish in 2004-2005 and again from 2013-2019. Zooplankton nets were used 2013-2019. Water quality measurements were collected alongside each tow.
DOI: 10.48324/dandi.000020/0.210913.1639
title: Patch-seq recordings from mouse visual cortex

description: Whole-cell Patch-seq recordings from neurons of the mouse visual cortex from the Allen Institute for Brain Science, released in June 2020. The majority of cells in this dataset are GABAergic interneurons, but there are also a small number of glutamatergic neurons from layer 2/3 of the mouse visual cortex.
DOI: 10.6084/m9.figshare.16611613
title: sc index culture CONSENSUS panel Figure S9

description: sc index culture CONSENSUS panel Figure S9:<br><br>numbers indicate indexed plates<br>1 file contains more analyzed cells for gating of index files
DOI: 10.6084/m9.figshare.16611616.v1
title: sc-index culture Classification Panel Figure S9

description: sc-index culture Classification Panel Figure S9:<br><br>numbers indicate respective plate that was sorted
DOI: 10.6084/m9.figshare.16611622.v1
title: Human MK Erythroid Lineage FACS panel Figure S6

description: Human MK Erythroid Lineage FACS panel Figure S6<br><br>healthy BM was analyzed with focus on the erythroid lineage
DOI: 10.6084/m9.figshare.16611625.v1
title: CD98 expression analysis Figure S6

description: CD98 expression analysis Figure S6<br><br>CD98 expression was assessed on different HSPCs along other well known HSPC markers
DOI: 10.6084/m9.figshare.16611598
title: cytotoxic CD4+ T cell .fcs data Figure 5

description: cytotoxic CD4+ T cell .fcs data Figure 5:<br><br>Flow data on different patient subgroups (see filenames) with focus on T cell markers. CD45+ CD3+ CD4+ CD28- cells were gated as cytotoxic T cells
DOI: 10.6084/m9.figshare.16611616
title: sc-index culture Classification Panel Figure S9

description: sc-index culture Classification Panel Figure S9:<br><br>numbers indicate respective plate that was sorted
DOI: 10.6084/m9.figshare.16611625
title: CD98 expression analysis Figure S6

description: CD98 expression analysis Figure S6<br><br>CD98 expression was assessed on different HSPCs along other well known HSPC markers
DOI: 10.6084/m9.figshare.16611580.v1
title: sc-index culture and sc-index RNA seq .fcs files Classification Panel Figure 3 Figure 6

description: sc-index culture and sc-index RNA seq .fcs files Classification Panel Figure 3 Figure 6:<br><br>numbers indicate respective plates that were sorted<br>1 file contains more analyzed cells for gating of index data
DOI: 10.6084/m9.figshare.16611613.v1
title: sc index culture CONSENSUS panel Figure S9

description: sc index culture CONSENSUS panel Figure S9:<br><br>numbers indicate indexed plates<br>1 file contains more analyzed cells for gating of index files
DOI: 10.6084/m9.figshare.16611622
title: Human MK Erythroid Lineage FACS panel Figure S6

description: Human MK Erythroid Lineage FACS panel Figure S6<br><br>healthy BM was analyzed with focus on the erythroid lineage
DOI: 10.6084/m9.figshare.16611580
title: sc-index culture and sc-index RNA seq .fcs files Classification Panel Figure 3 Figure 6

description: sc-index culture and sc-index RNA seq .fcs files Classification Panel Figure 3 Figure 6:<br><br>numbers indicate respective plates that were sorted<br>1 file contains more analyzed cells for gating of index data
DOI: 10.6084/m9.figshare.16611607
title: MSC .fcs data Figure 5

description: MSC .fcs data Figure 5<br><br>BM was analyzed with focus on MSCs
DOI: 10.6084/m9.figshare.16611589.v1
title: sc-index culture and sc-index RNAseq .fcs files Semi Automated Panel Figure 3 Figure 7

description: sc-index culture and sc-index RNAseq .fcs files Semi Automated Panel Figure 3 Figure 7:<br><br>numbers indicate respective plates that were sorted<br>1 file contains more analyzed cells for gating of index files
DOI: 10.6084/m9.figshare.16611589
title: sc-index culture and sc-index RNAseq .fcs files Semi Automated Panel Figure 3 Figure 7

description: sc-index culture and sc-index RNAseq .fcs files Semi Automated Panel Figure 3 Figure 7:<br><br>numbers indicate respective plates that were sorted<br>1 file contains more analyzed cells for gating of index files
DOI: 10.6084/m9.figshare.16611565
title: AML ABseq sorts Figure 1

description: AML ABseq sorts Figure 1<br>Caspase 3/7 and DAPI negative CD34+ cells were gated in order to sort CD34+ and CD34- BM<br>
DOI: 10.6084/m9.figshare.16611574
title: Healthy Abseq sorts Figure 1

description: Healthy Abseq sorts Figure 1<br><br>Caspase 3/7 and DAPI negative CD34+ cells were gated in order to sort CD34+ and CD34- BM
DOI: 10.6084/m9.figshare.16611553
title: Aged BM sorts data Figure 1

description: Aged BM sorts data Figure 1<br>Caspase 3/7 and DAPI negative CD34+ cells were gated in order to sort CD34+ and CD34- BM<br>
DOI: 10.5517/ccdc.csd.cc26trzs
title: CCDC 2050556: Experimental Crystal Structure Determination

description: Related Article: Sunil K. Rai, Debjani Baidya, Ashwini K. Nangia|2021|CrystEngComm|23|5994|doi:10.1039/D1CE00785H
DOI: 10.5517/ccdc.csd.cc26ts0v
title: CCDC 2050557: Experimental Crystal Structure Determination

description: Related Article: Sunil K. Rai, Debjani Baidya, Ashwini K. Nangia|2021|CrystEngComm|23|5994|doi:10.1039/D1CE00785H
DOI: 10.5517/ccdc.csd.cc26ts1w
title: CCDC 2050558: Experimental Crystal Structure Determination

description: Related Article: Sunil K. Rai, Debjani Baidya, Ashwini K. Nangia|2021|CrystEngComm|23|5994|doi:10.1039/D1CE00785H
DOI: 10.5517/ccdc.csd.cc26ts2x
title: CCDC 2050559: Experimental Crystal Structure Determination

description: Related Article: Sunil K. Rai, Debjani Baidya, Ashwini K. Nangia|2021|CrystEngComm|23|5994|doi:10.1039/D1CE00785H
DOI: 10.5517/ccdc.csd.cc26ts3y
title: CCDC 2050560: Experimental Crystal Structure Determination

description: Related Article: Sunil K. Rai, Debjani Baidya, Ashwini K. Nangia|2021|CrystEngComm|23|5994|doi:10.1039/D1CE00785H
DOI: 10.5517/ccdc.csd.cc26ts4z
title: CCDC 2050561: Experimental Crystal Structure Determination

description: Related Article: Sunil K. Rai, Debjani Baidya, Ashwini K. Nangia|2021|CrystEngComm|23|5994|doi:10.1039/D1CE00785H
DOI: 10.5517/ccdc.csd.cc26ts50
title: CCDC 2050562: Experimental Crystal Structure Determination

description: Related Article: Sunil K. Rai, Debjani Baidya, Ashwini K. Nangia|2021|CrystEngComm|23|5994|doi:10.1039/D1CE00785H
DOI: 10.5517/ccdc.csd.cc26ts61
title: CCDC 2050563: Experimental Crystal Structure Determination

description: Related Article: Sunil K. Rai, Debjani Baidya, Ashwini K. Nangia|2021|CrystEngComm|23|5994|doi:10.1039/D1CE00785H
DOI: 10.5517/ccdc.csd.cc26ts72
title: CCDC 2050564: Experimental Crystal Structure Determination

description: Related Article: Sunil K. Rai, Debjani Baidya, Ashwini K. Nangia|2021|CrystEngComm|23|5994|doi:10.1039/D1CE00785H
DOI: 10.5517/ccdc.csd.cc26ts83
title: CCDC 2050565: Experimental Crystal Structure Determination

description: Related Article: Sunil K. Rai, Debjani Baidya, Ashwini K. Nangia|2021|CrystEngComm|23|5994|doi:10.1039/D1CE00785H
DOI: 10.5517/ccdc.csd.cc26wfvd
title: CCDC 2052164: Experimental Crystal Structure Determination

description: Related Article: Xiang-Ji Liao, Jin-Jun Zhu, Li Yuan, Zhi-Ping Yan, Zhen-Long Tu, Meng-Xi Mao, Jun-Jian Lu, Wen-Wei Zhang, You-Xuan Zheng|2021|Mater. Chem. Front.|5|6951|doi:10.1039/D1QM00708D
DOI: 10.5517/ccdc.csd.cc26wg7t
title: CCDC 2052176: Experimental Crystal Structure Determination

description: Related Article: Xiang-Ji Liao, Jin-Jun Zhu, Li Yuan, Zhi-Ping Yan, Zhen-Long Tu, Meng-Xi Mao, Jun-Jian Lu, Wen-Wei Zhang, You-Xuan Zheng|2021|Mater. Chem. Front.|5|6951|doi:10.1039/D1QM00708D
DOI: 10.5517/ccdc.csd.cc26wr84
title: CCDC 2052456: Experimental Crystal Structure Determination

description: Related Article: Heyi Zhang, Fangyuan He, Xiaonan Li, Zhihui Wang, Hong Zhang|2021|New J.Chem.|45|15851|doi:10.1039/D1NJ03141D
DOI: 10.5517/ccdc.csd.cc2779f7
title: CCDC 2062598: Experimental Crystal Structure Determination

description: Related Article: Gurjaspreet Singh, Sanjay Sharma, Akshpreet Singh, Ranjeet Kaur, Pawan, Mohit, Shweta Rana, Subash Chandra Sahoo, Amarjit Kaur|2021|New J.Chem.|45|16083|doi:10.1039/D1NJ02893F
DOI: 10.5517/ccdc.csd.cc277l47
title: CCDC 2062868: Experimental Crystal Structure Determination

description: Related Article: Xin Zheng, Yuanshan Huang, Duoduo Xiao, Shuming Yang, Zhenghuan Lin, Qidan Ling|2021|Mater. Chem. Front.|5|6960|doi:10.1039/D1QM00794G
DOI: 10.5517/ccdc.csd.cc277l58
title: CCDC 2062869: Experimental Crystal Structure Determination

description: Related Article: Xin Zheng, Yuanshan Huang, Duoduo Xiao, Shuming Yang, Zhenghuan Lin, Qidan Ling|2021|Mater. Chem. Front.|5|6960|doi:10.1039/D1QM00794G
DOI: 10.5517/ccdc.csd.cc27dg9f
title: CCDC 2067554: Experimental Crystal Structure Determination

description: Related Article: Mateusz Kowalik, Jakub Brzeski, Małgorzata Gawrońska, Katarzyna Kazimierczuk, Mariusz Makowski|2021|CrystEngComm|23|6137|doi:10.1039/D1CE00869B
DOI: 10.5517/ccdc.csd.cc27dgbg
title: CCDC 2067555: Experimental Crystal Structure Determination

description: Related Article: Mateusz Kowalik, Jakub Brzeski, Małgorzata Gawrońska, Katarzyna Kazimierczuk, Mariusz Makowski|2021|CrystEngComm|23|6137|doi:10.1039/D1CE00869B
DOI: 10.5517/ccdc.csd.cc27f933
title: CCDC 2068354: Experimental Crystal Structure Determination

description: Related Article: Lucy K. Saunders, Anuradha R. Pallipurath, Matthias J. Gutmann, Harriott Nowell, Ningjin Zhang, David R. Allan|2021|CrystEngComm|23|6180|doi:10.1039/D1CE00355K
DOI: 10.5517/ccdc.csd.cc27f944
title: CCDC 2068355: Experimental Crystal Structure Determination

description: Related Article: Lucy K. Saunders, Anuradha R. Pallipurath, Matthias J. Gutmann, Harriott Nowell, Ningjin Zhang, David R. Allan|2021|CrystEngComm|23|6180|doi:10.1039/D1CE00355K
DOI: 10.5517/ccdc.csd.cc27f955
title: CCDC 2068356: Experimental Crystal Structure Determination

description: Related Article: Lucy K. Saunders, Anuradha R. Pallipurath, Matthias J. Gutmann, Harriott Nowell, Ningjin Zhang, David R. Allan|2021|CrystEngComm|23|6180|doi:10.1039/D1CE00355K
DOI: 10.5517/ccdc.csd.cc27f966
title: CCDC 2068357: Experimental Crystal Structure Determination

description: Related Article: Lucy K. Saunders, Anuradha R. Pallipurath, Matthias J. Gutmann, Harriott Nowell, Ningjin Zhang, David R. Allan|2021|CrystEngComm|23|6180|doi:10.1039/D1CE00355K
DOI: 10.5517/ccdc.csd.cc27f977
title: CCDC 2068358: Experimental Crystal Structure Determination

description: Related Article: Lucy K. Saunders, Anuradha R. Pallipurath, Matthias J. Gutmann, Harriott Nowell, Ningjin Zhang, David R. Allan|2021|CrystEngComm|23|6180|doi:10.1039/D1CE00355K
DOI: 10.5517/ccdc.csd.cc27f988
title: CCDC 2068359: Experimental Crystal Structure Determination

description: Related Article: Lucy K. Saunders, Anuradha R. Pallipurath, Matthias J. Gutmann, Harriott Nowell, Ningjin Zhang, David R. Allan|2021|CrystEngComm|23|6180|doi:10.1039/D1CE00355K
DOI: 10.5517/ccdc.csd.cc27gf7d
title: CCDC 2069443: Experimental Crystal Structure Determination

description: Related Article: Uday Narayan Guria, Saikat Kumar Manna, Kalipada Maiti, Sandip Kumar Samanta, Aritri Ghosh, Pallab Datta, Debasish Mandal, Ajit Kumar Mahapatra|2021|New J.Chem.|45|15869|doi:10.1039/D1NJ02943F
DOI: 10.5517/ccdc.csd.cc27h5mk
title: CCDC 2070168: Experimental Crystal Structure Determination

description: Related Article: Paula Fraňová, Štefan Marchalín, Peter Šafář, Matej Cvečko, Ján Moncol, Ivana Žídeková, Mohamed Othman, Adam Daïch|2021|New J.Chem.|45|15956|doi:10.1039/D1NJ02180J
DOI: 10.5517/ccdc.csd.cc27h5nl
title: CCDC 2070169: Experimental Crystal Structure Determination

description: Related Article: Paula Fraňová, Štefan Marchalín, Peter Šafář, Matej Cvečko, Ján Moncol, Ivana Žídeková, Mohamed Othman, Adam Daïch|2021|New J.Chem.|45|15956|doi:10.1039/D1NJ02180J
DOI: 10.5517/ccdc.csd.cc27dgch
title: CCDC 2067556: Experimental Crystal Structure Determination

description: Related Article: Mateusz Kowalik, Jakub Brzeski, Małgorzata Gawrońska, Katarzyna Kazimierczuk, Mariusz Makowski|2021|CrystEngComm|23|6137|doi:10.1039/D1CE00869B
DOI: 10.5517/ccdc.csd.cc27dgdj
title: CCDC 2067557: Experimental Crystal Structure Determination

description: Related Article: Mateusz Kowalik, Jakub Brzeski, Małgorzata Gawrońska, Katarzyna Kazimierczuk, Mariusz Makowski|2021|CrystEngComm|23|6137|doi:10.1039/D1CE00869B
DOI: 10.5517/ccdc.csd.cc27j161
title: CCDC 2070992: Experimental Crystal Structure Determination

description: Related Article: Wenyan Wang, Natalya V. Izarova, Jan van Leusen, Paul Kögerler|2021|CrystEngComm|23|5989|doi:10.1039/D1CE00896J
DOI: 10.6084/m9.figshare.15067676
title: A Kernel Log-Rank Test of Independence for Right-Censored Data

description: We introduce a general nonparametric independence test between right-censored survival times and covariates, which may be multivariate. Our test statistic has a dual interpretation, first in terms of the supremum of a potentially infinite collection of weight-indexed log-rank tests, with weight functions belonging to a reproducing kernel Hilbert space (RKHS) of functions; and second, as the norm of the difference of embeddings of certain finite measures into the RKHS, similar to the Hilbert–Schmidt Independence Criterion (HSIC) test-statistic. We study the asymptotic properties of the test, finding sufficient conditions to ensure our test correctly rejects the null hypothesis under any alternative. The test statistic can be computed straightforwardly, and the rejection threshold is obtained via an asymptotically consistent Wild Bootstrap procedure. Extensive investigations on both simulated and real data suggest that our testing procedure generally performs better than competing approaches in detecting complex nonlinear dependence.
DOI: 10.7298/tn9b-gr76
title: Data from: Survival of Escherichia coli O157:H7 during moderate temperature dehydration of plant-based foods