cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4667674
title: Instance data for crane scheduling for end-of-aisle picking

description: The following instances are from the working paper entitled <em>Crane scheduling for end-of-aisle picking: Complexity and efficient solutions based on the vehicle routing problem</em><em> </em>by Nils Boysen, Konrad Stephan, and Simon Emde. The dataset contains 760 randomly generated instances with varying numbers of requests and buffer sizes. Each line in the attached text file stands for one instance. Columns are separated by tab stops. The individual columns are: ID - unique running number n - number of requests in set S b - buffer size, number of requests in set S_0 S_0 - set of request locations initially in the buffer S - set of request locations FCFS_SOLUTION - sequence vector (solution) in a first come, first served schedule FCFS_TIME - CPU time (milliseconds) for finding the first come, first served solution FCFS_OBJECTIVE - objective value (tenths of a second of empty crane travel) of the first come, first served solution MBH_SOLUTION - sequence vector (solution) found by the matching-based heuristic MBH_TIME - CPU time (milliseconds) taken by the matching-based heuristic MBH_OBJECTIVE - objective value (tenths of a second of empty crane travel) of the solution found by the matching-based heuristic VRP_SOLUTION - sequence vector (solution) of the VRP* (via HGA-CVRP) schedule VRP_TIME - CPU time (milliseconds) for finding the VRP* solution VRP_OBJECTIVE - objective value (tenths of a second of empty crane travel) of the VRP* solution SA_SOLUTION - sequence vector (solution) found by the simulated annealing heuristic SA_TIME - CPU time (milliseconds) taken by the simulated annealing heuristic SA_OBJECTIVE - objective value (tenths of a second of empty crane travel) of the solution found by the simulated annealing heuristic Note that location data is in the format of two-dimensional coordinates denoting the travel time on the x- and y-axes in tenths of a second from coordinate (0,0). Hence coordinate "(600, 300)" implies that the corresponding slot is 60 seconds of horizontal travel and 30 seconds of vertical travel away from the origin. Objective values are also scaled to tenths of a second. The CPU times are given in milliseconds. Results for the simulated annealing heuristic are only available for instances with n=60 requests.
DOI: 10.5281/zenodo.4629978
title: Instance data for crane scheduling for end-of-aisle picking

description: The following instances are from the working paper entitled <em>Crane scheduling for end-of-aisle picking: Complexity and efficient solutions based on the vehicle routing problem</em><em> </em>by Nils Boysen, Konrad Stephan, and Simon Emde. The dataset contains 760 randomly generated instances with varying numbers of requests and buffer sizes. Each line in the attached text file stands for one instance. Columns are separated by tab stops. The individual columns are: ID - unique running number n - number of requests in set S b - buffer size, number of requests in set S_0 S_0 - set of request locations initially in the buffer S - set of request locations FCFS_SOLUTION - sequence vector (solution) in a first come, first served schedule FCFS_TIME - CPU time (milliseconds) for finding the first come, first served solution FCFS_OBJECTIVE - objective value (tenths of a second of empty crane travel) of the first come, first served solution MBH_SOLUTION - sequence vector (solution) found by the matching-based heuristic MBH_TIME - CPU time (milliseconds) taken by the matching-based heuristic MBH_OBJECTIVE - objective value (tenths of a second of empty crane travel) of the solution found by the matching-based heuristic VRP_SOLUTION - sequence vector (solution) of the VRP* (via HGA-CVRP) schedule VRP_TIME - CPU time (milliseconds) for finding the VRP* solution VRP_OBJECTIVE - objective value (tenths of a second of empty crane travel) of the VRP* solution SA_SOLUTION - sequence vector (solution) found by the simulated annealing heuristic SA_TIME - CPU time (milliseconds) taken by the simulated annealing heuristic SA_OBJECTIVE - objective value (tenths of a second of empty crane travel) of the solution found by the simulated annealing heuristic Note that location data is in the format of two-dimensional coordinates denoting the travel time on the x- and y-axes in tenths of a second from coordinate (0,0). Hence coordinate "(600, 300)" implies that the corresponding slot is 60 seconds of horizontal travel and 30 seconds of vertical travel away from the origin. Objective values are also scaled to tenths of a second. The CPU times are given in milliseconds. Results for the simulated annealing heuristic are only available for instances with n=60 requests.
DOI: 10.5517/ccdc.csd.cc2219ct
title: CCDC 1907875: Experimental Crystal Structure Determination

description: Related Article: Jiaxing Zhu, Yi Yu, Hongchuan Fan, Huaqiang Cai, Zhenxia Chen, Linhong Weng, Yun Ling, Yaming Zhou|2021|Inorg.Chem.Front.|8|1666|doi:10.1039/D0QI01216E
DOI: 10.5517/ccdc.csd.cc2219dv
title: CCDC 1907876: Experimental Crystal Structure Determination

description: Related Article: Jiaxing Zhu, Yi Yu, Hongchuan Fan, Huaqiang Cai, Zhenxia Chen, Linhong Weng, Yun Ling, Yaming Zhou|2021|Inorg.Chem.Front.|8|1666|doi:10.1039/D0QI01216E
DOI: 10.5517/ccdc.csd.cc2219fw
title: CCDC 1907877: Experimental Crystal Structure Determination

description: Related Article: Jiaxing Zhu, Yi Yu, Hongchuan Fan, Huaqiang Cai, Zhenxia Chen, Linhong Weng, Yun Ling, Yaming Zhou|2021|Inorg.Chem.Front.|8|1666|doi:10.1039/D0QI01216E
DOI: 10.5517/ccdc.csd.cc2219gx
title: CCDC 1907878: Experimental Crystal Structure Determination

description: Related Article: Jiaxing Zhu, Yi Yu, Hongchuan Fan, Huaqiang Cai, Zhenxia Chen, Linhong Weng, Yun Ling, Yaming Zhou|2021|Inorg.Chem.Front.|8|1666|doi:10.1039/D0QI01216E
DOI: 10.5517/ccdc.csd.cc2219hy
title: CCDC 1907879: Experimental Crystal Structure Determination

description: Related Article: Jiaxing Zhu, Yi Yu, Hongchuan Fan, Huaqiang Cai, Zhenxia Chen, Linhong Weng, Yun Ling, Yaming Zhou|2021|Inorg.Chem.Front.|8|1666|doi:10.1039/D0QI01216E
DOI: 10.5517/ccdc.csd.cc2219jz
title: CCDC 1907880: Experimental Crystal Structure Determination

description: Related Article: Jiaxing Zhu, Yi Yu, Hongchuan Fan, Huaqiang Cai, Zhenxia Chen, Linhong Weng, Yun Ling, Yaming Zhou|2021|Inorg.Chem.Front.|8|1666|doi:10.1039/D0QI01216E
DOI: 10.5517/ccdc.csd.cc2219k0
title: CCDC 1907881: Experimental Crystal Structure Determination

description: Related Article: Jiaxing Zhu, Yi Yu, Hongchuan Fan, Huaqiang Cai, Zhenxia Chen, Linhong Weng, Yun Ling, Yaming Zhou|2021|Inorg.Chem.Front.|8|1666|doi:10.1039/D0QI01216E
DOI: 10.5517/ccdc.csd.cc25yf6s
title: CCDC 2024275: Experimental Crystal Structure Determination

description: Related Article: Jinpeng Xin, Fei Jin, Runnan Guan, Muqing Chen, Xiao-Ming Xie, Qianyan Zhang, Su-Yuan Xie, Shangfeng Yang|2021|Inorg.Chem.Front.|8|1719|doi:10.1039/D0QI01492C
DOI: 10.5517/ccdc.csd.cc2606zf
title: CCDC 2026004: Experimental Crystal Structure Determination

description: Related Article: Jinpeng Xin, Fei Jin, Runnan Guan, Muqing Chen, Xiao-Ming Xie, Qianyan Zhang, Su-Yuan Xie, Shangfeng Yang|2021|Inorg.Chem.Front.|8|1719|doi:10.1039/D0QI01492C
DOI: 10.5517/ccdc.csd.cc26070h
title: CCDC 2026005: Experimental Crystal Structure Determination

description: Related Article: Jinpeng Xin, Fei Jin, Runnan Guan, Muqing Chen, Xiao-Ming Xie, Qianyan Zhang, Su-Yuan Xie, Shangfeng Yang|2021|Inorg.Chem.Front.|8|1719|doi:10.1039/D0QI01492C
DOI: 10.5517/ccdc.csd.cc26gt1k
title: CCDC 2040018: Experimental Crystal Structure Determination

description: Related Article: Chonglong He, Yipeng Zhou, Zhanhuan Li, Jianfeng Xu, Xingkuan Chen|2021|Org.Chem.Front.|8|1569|doi:10.1039/D0QO01489C
DOI: 10.5517/ccdc.csd.cc26n2hg
title: CCDC 2045085: Experimental Crystal Structure Determination

description: Related Article: Weimao Zhong, Yuchan Chen, Xiaoyi Wei, Junfeng Wang, Qi Zeng, Xinpeng Tian, Weimin Zhang, Fazuo Wang, Si Zhang|2021|Org.Chem.Front.|8|1466|doi:10.1039/D0QO01519A
DOI: 10.5517/ccdc.csd.cc26n2jh
title: CCDC 2045086: Experimental Crystal Structure Determination

description: Related Article: Weimao Zhong, Yuchan Chen, Xiaoyi Wei, Junfeng Wang, Qi Zeng, Xinpeng Tian, Weimin Zhang, Fazuo Wang, Si Zhang|2021|Org.Chem.Front.|8|1466|doi:10.1039/D0QO01519A
DOI: 10.5517/ccdc.csd.cc26pdz9
title: CCDC 2046371: Experimental Crystal Structure Determination

description: Related Article: Xiaodong Gu, Ling Meng, Mingliang Li, Jun (Joelle) Wang|2021|Org.Chem.Front.|8|1563|doi:10.1039/D1QO00030F
DOI: 10.5517/ccdc.csd.cc26r0ll
title: CCDC 2047909: Experimental Crystal Structure Determination

description: Related Article: Yong-Ming Yan, Xiao-Hui Meng, Hong-Fu Bai, Yong-Xian Cheng|2021|Org.Chem.Front.|8|1401|doi:10.1039/D0QO01653E
DOI: 10.5517/ccdc.csd.cc26r0mm
title: CCDC 2047910: Experimental Crystal Structure Determination

description: Related Article: Yong-Ming Yan, Xiao-Hui Meng, Hong-Fu Bai, Yong-Xian Cheng|2021|Org.Chem.Front.|8|1401|doi:10.1039/D0QO01653E
DOI: 10.5517/ccdc.csd.cc26rhr7
title: CCDC 2048379: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26rhs8
title: CCDC 2048380: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26rht9
title: CCDC 2048381: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26rhvb
title: CCDC 2048382: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26rhwc
title: CCDC 2048383: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26rhxd
title: CCDC 2048384: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26rhyf
title: CCDC 2048385: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26rhzg
title: CCDC 2048386: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26rj0j
title: CCDC 2048387: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26rj4n
title: CCDC 2048391: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26st3y
title: CCDC 2049630: Experimental Crystal Structure Determination

description: Related Article: Xiaobing Liu, Heyun Sheng, Yao Zhou, Qiuling Song|2021|Org.Lett.|23|2543|doi:10.1021/acs.orglett.1c00467
DOI: 10.5519/qd.zw45d0zn
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (291 records)
DOI: 10.5281/zenodo.4666803
title: Data For: Where are Mars' Hypothesized Ocean Shorelines? Large Lateral and Topographic Offsets Between Different Versions of Paleoshoreline Maps.

description: Data used in the analysis of the Arabia and Deuteronilus Levels for Sholes et al. (2021) submitted to the Journal of Geophysical Research: Planets. Contains ArcGIS-ready data and CSV files for all digitized, mapped, and provided putative martian paleoshorelines analyzed in the paper. Also includes measured and calculated offset data, figures, and code used for analysis/plotting. See README for explanation of each directory/file. <strong>Figure1</strong>: Mapped levels are found in "Elevation Data" for both the Arabia and Deuteronilus Levels. Also in the ArcGIS layer pack file. <br> <strong>Figure 2</strong>: Elevations of the mapped levels are in the "Elevation Data" folder for both levels and the open-basin deltas. Mapped and calculated lateral offset distances are found in the "Offset Data" folder. <br> <strong>Figure 3</strong>: See the "Elevation Data/Arabia/4_Sholes2021_Arabia_Topo.csv" and "Elevation Data/Deuteronilus/0_Ivanov2017_Deuteronilus_Original_Topo.csv"<br> <strong>Figure 4</strong>: Mapped levels are found in "Elevation Data" for both the Arabia and Deuteronilus Levels. Also in the ArcGIS layer pack file. Mapped lateral offsets are found in the "Offset Data" folder for each level as well. <br> <strong>Figure 5</strong>: Mapped levels are found in "Elevation Data" for both the Arabia and Deuteronilus Levels. Also in the ArcGIS layer pack file.<br> <strong>Figure 6:</strong> See the "Elevation Data/Deuteronilus/7_Sholes2021_Deuteronilus_Topo.csv" and "Elevation Data/Deuteronilus/0_Ivanov2017_Deuteronilus_Original_Topo.csv"<br> <strong>Figure S1</strong>: Mapped levels are found in "Elevation Data" for both the Arabia and Deuteronilus Levels. Also in the ArcGIS layer pack file. <br> <strong>Figure S2</strong>: Mapped levels are found in "Elevation Data" for both the Arabia and Deuteronilus Levels. Also in the ArcGIS layer pack file. Geological units are from the Tanaka et al. 2014 map. <br> <strong>Figure S3</strong>: Mapped levels are found in "Elevation Data" for both the Arabia and Deuteronilus Levels. Also in the ArcGIS layer pack file. Mapped lateral offsets are found in the "Offset Data" folder for each level as well. <br> <strong>Figure S4</strong>: Mapped levels are found in "Elevation Data" for both the Arabia and Deuteronilus Levels. Also in the ArcGIS layer pack file. Mapped lateral offsets are found in the "Offset Data" folder for each level as well.
DOI: 10.5281/zenodo.3743910
title: Data For: Where are Mars' Hypothesized Ocean Shorelines? Large Lateral and Topographic Offsets Between Different Versions of Paleoshoreline Maps.

description: Data used in the analysis of the Arabia and Deuteronilus Levels for Sholes et al. (2021) submitted to the Journal of Geophysical Research: Planets. Contains ArcGIS-ready data and CSV files for all digitized, mapped, and provided putative martian paleoshorelines analyzed in the paper. Also includes measured and calculated offset data, figures, and code used for analysis/plotting. See README for explanation of each directory/file. <strong>Figure1</strong>: Mapped levels are found in "Elevation Data" for both the Arabia and Deuteronilus Levels. Also in the ArcGIS layer pack file. <br> <strong>Figure 2</strong>: Elevations of the mapped levels are in the "Elevation Data" folder for both levels and the open-basin deltas. Mapped and calculated lateral offset distances are found in the "Offset Data" folder. <br> <strong>Figure 3</strong>: See the "Elevation Data/Arabia/4_Sholes2021_Arabia_Topo.csv" and "Elevation Data/Deuteronilus/0_Ivanov2017_Deuteronilus_Original_Topo.csv"<br> <strong>Figure 4</strong>: Mapped levels are found in "Elevation Data" for both the Arabia and Deuteronilus Levels. Also in the ArcGIS layer pack file. Mapped lateral offsets are found in the "Offset Data" folder for each level as well. <br> <strong>Figure 5</strong>: Mapped levels are found in "Elevation Data" for both the Arabia and Deuteronilus Levels. Also in the ArcGIS layer pack file.<br> <strong>Figure 6:</strong> See the "Elevation Data/Deuteronilus/7_Sholes2021_Deuteronilus_Topo.csv" and "Elevation Data/Deuteronilus/0_Ivanov2017_Deuteronilus_Original_Topo.csv"<br> <strong>Figure S1</strong>: Mapped levels are found in "Elevation Data" for both the Arabia and Deuteronilus Levels. Also in the ArcGIS layer pack file. <br> <strong>Figure S2</strong>: Mapped levels are found in "Elevation Data" for both the Arabia and Deuteronilus Levels. Also in the ArcGIS layer pack file. Geological units are from the Tanaka et al. 2014 map. <br> <strong>Figure S3</strong>: Mapped levels are found in "Elevation Data" for both the Arabia and Deuteronilus Levels. Also in the ArcGIS layer pack file. Mapped lateral offsets are found in the "Offset Data" folder for each level as well. <br> <strong>Figure S4</strong>: Mapped levels are found in "Elevation Data" for both the Arabia and Deuteronilus Levels. Also in the ArcGIS layer pack file. Mapped lateral offsets are found in the "Offset Data" folder for each level as well.
DOI: 10.5281/zenodo.4666074
title: Datasets for "Spectrum of turbulence-sourcedgravitational waves as a constraint ongraviton mass"

description: <pre>This directory contains an index.html file with links to the run directories and idl plotting routines with secondary data for the other figures for the paper "Spectrum of turbulence-sourced gravitational waves as a constraint on graviton mass" by Yutong He, Axel Brandenburg, and Aditya Sinha. If anything turns out to be incomplete, please email yutong.he@su.se or brandenb@nordita.org.</pre>
DOI: 10.5281/zenodo.4666073
title: Datasets for "Spectrum of turbulence-sourcedgravitational waves as a constraint ongraviton mass"

description: <pre>This directory contains an index.html file with links to the run directories and idl plotting routines with secondary data for the other figures for the paper "Spectrum of turbulence-sourced gravitational waves as a constraint on graviton mass" by Yutong He, Axel Brandenburg, and Aditya Sinha. If anything turns out to be incomplete, please email yutong.he@su.se or brandenb@nordita.org.</pre>
DOI: 10.23641/asha.14336663
title: National study of deafness in hospitalized adults (Harris et al., 2021)

description: <b>Background: </b>It is unknown whether hospital outcomes differ among nonspeaking deaf patients compared to those without this disability.<b>Objective: </b>This article aims to compare clinical outcomes and utilization data among patients with and without deafness.<b>Design: </b>This study used a retrospective cohort study. <b>Setting and Participants:</b> The participants included Nationwide Inpatient Sample, year 2017, hospitalized adults with and without diagnostic codes related to deafness and inability to speak.<b>Method: </b>Multiple logistic and linear regression were used to compare in-hospital outcomes.<b>Results: </b>Thirty million four hundred one thousand one hundred seventeen adults were hospitalized, and 7,180had deafness and inability to speak related coding. Patients with deafness were older (mean age ± <i>SEM</i>: 59.2 ± 0.51 vs. 57.9 ± 0.09 years, <i>p</i> = .01), and less likely female (47.0% vs. 57.7%,<i> p</i> &lt; .01) compared to controls. Those with deafness had more comorbidities compared to the controls (Charlson comorbidity score ≥ 3: 31.2% vs. 27.8%, <i>p</i> &lt; .01). Mortality was higher among deaf versus controls (3.6% vs. 2.2%; <i>p</i> &lt; .01); this translated into higher adjusted odds of mortality (adjusted odds ratio = 1.7. [confidence interval (CI) 1.3–2.4]; <i>p</i> = .01). Deaf patients had lower odds of being discharged home compared to controls {aOR} = 0.6, (CI) 0.55–0.73]; <i>p</i> &lt; .01. Length of stay was longer (adjusted mean difference = 1.5 days CI [0.7–2.3]; <i>p </i>&lt; .01) and hospital charges were higher, but not significantly so (adjusted mean difference = $4,193 CI [−$1,935–$10,322]; <i>p</i> = .18) in patients with deafness.<b>Conclusions: </b>Hospitalized nonspeaking deaf patients had higher mortality and longer hospital stays compared to those without this condition. These results suggest that specialized attention may be warranted when deaf patients are admitted to our hospitals in hopes of reducing disparities in outcomes.<br><b>Supplemental Material S1.</b> ICD-10 codes on obesity.<br>Harris, C. M., Kotwal, S., Wright, S. M. (2021). A nationwide study examining deafness among hospitalized adults. American Journal of Audiology. Advance online publication. https://doi.org/10.1044/2021_AJA-20-00156
DOI: 10.23641/asha.14336663.v1
title: National study of deafness in hospitalized adults (Harris et al., 2021)

description: <b>Background: </b>It is unknown whether hospital outcomes differ among nonspeaking deaf patients compared to those without this disability.<b>Objective: </b>This article aims to compare clinical outcomes and utilization data among patients with and without deafness.<b>Design: </b>This study used a retrospective cohort study. <b>Setting and Participants:</b> The participants included Nationwide Inpatient Sample, year 2017, hospitalized adults with and without diagnostic codes related to deafness and inability to speak.<b>Method: </b>Multiple logistic and linear regression were used to compare in-hospital outcomes.<b>Results: </b>Thirty million four hundred one thousand one hundred seventeen adults were hospitalized, and 7,180had deafness and inability to speak related coding. Patients with deafness were older (mean age ± <i>SEM</i>: 59.2 ± 0.51 vs. 57.9 ± 0.09 years, <i>p</i> = .01), and less likely female (47.0% vs. 57.7%,<i> p</i> &lt; .01) compared to controls. Those with deafness had more comorbidities compared to the controls (Charlson comorbidity score ≥ 3: 31.2% vs. 27.8%, <i>p</i> &lt; .01). Mortality was higher among deaf versus controls (3.6% vs. 2.2%; <i>p</i> &lt; .01); this translated into higher adjusted odds of mortality (adjusted odds ratio = 1.7. [confidence interval (CI) 1.3–2.4]; <i>p</i> = .01). Deaf patients had lower odds of being discharged home compared to controls {aOR} = 0.6, (CI) 0.55–0.73]; <i>p</i> &lt; .01. Length of stay was longer (adjusted mean difference = 1.5 days CI [0.7–2.3]; <i>p </i>&lt; .01) and hospital charges were higher, but not significantly so (adjusted mean difference = $4,193 CI [−$1,935–$10,322]; <i>p</i> = .18) in patients with deafness.<b>Conclusions: </b>Hospitalized nonspeaking deaf patients had higher mortality and longer hospital stays compared to those without this condition. These results suggest that specialized attention may be warranted when deaf patients are admitted to our hospitals in hopes of reducing disparities in outcomes.<br><b>Supplemental Material S1.</b> ICD-10 codes on obesity.<br>Harris, C. M., Kotwal, S., Wright, S. M. (2021). A nationwide study examining deafness among hospitalized adults. American Journal of Audiology. Advance online publication. https://doi.org/10.1044/2021_AJA-20-00156
DOI: 10.5281/zenodo.4667698
title: Impact of prone positioning on patients with COVID-19 and acute respiratory distress syndrome under invasive mechanical ventilation: a multicenter cohort study

description: Database COVID
DOI: 10.5281/zenodo.4667697
title: Impact of prone positioning on patients with COVID-19 and acute respiratory distress syndrome under invasive mechanical ventilation: a multicenter cohort study

description: Database COVID
DOI: 10.21227/wykf-fc47
title: Cataract Surgery Dataset for Eye Positioning and Alignment

description: Computer-assisted intraoperative intraocular lens (IOL) positioning and alignment is a valuable study. It is important to precisely position and align the axis of IOL during surgery to achieve optimal post-operative astigmatism correction. The cataract surgery dataset is proposed in the research paper “Computer-aided Intraoperative Toric Intraocular Lens Positioning and Alignment During Cataract Surgery”. Videos of 20 cataract patients under routine cataract surgery were collected from a tertiary eye hospital (Shanxi Eye hospital, Taiyuan, Shanxi, China) with a resolution of 1920 × 1080 pixels and a frame rate of 25 FPS. The videos of these patients were divided into three groups, 10 as the training set (Video 11-20), 3 as the evaluation set (Video 8-10) and 7 as the test set (Video 1-7). We used manual and PCS algorithm, the limbus detection algorithm proposed in the paper, to label the limbus of surgery images in the training set. The limbus and blood vessel bifurcation points near the limbus in the evaluation set and test set were manually labeled. This cataract surgery dataset can be used to develop and evaluate algorithms for eyeball rotation and positioning during cataract surgery.
DOI: 10.6084/m9.figshare.3761562.v1828
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.