cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57992/nmrxiv.p21.s142
title: Hexyl propyl Pre final
DOI: 10.57992/nmrxiv.p21.s142.d665
title: 1
DOI: 10.57992/nmrxiv.p21.s143
title: Propyl butyl
DOI: 10.57992/nmrxiv.p21.s143.d666
title: 2
DOI: 10.57992/nmrxiv.p21.s143.d667
title: 1
DOI: 10.57992/nmrxiv.p21.s144
title: TBDPS ACID
DOI: 10.57992/nmrxiv.p21.s144.d668
title: 1
DOI: 10.57992/nmrxiv.p21.s144.d669
title: 2
DOI: 10.57992/nmrxiv.p21.s145
title: hexyl amine
DOI: 10.57992/nmrxiv.p21.s145.d670
title: 1
DOI: 10.57992/nmrxiv.p21.s145.d671
title: 3
DOI: 10.57992/nmrxiv.p21.s145.d672
title: 2
DOI: 10.57992/nmrxiv.p21.s146
title: Butyl Butyl PF
DOI: 10.57992/nmrxiv.p21.s146.d673
title: 1
DOI: 10.57992/nmrxiv.p21.s146.d674
title: 2
DOI: 10.57992/nmrxiv.p21.s147
title: Hexyl Nayori.topspin
DOI: 10.57992/nmrxiv.p21.s147.d675
title: 1
DOI: 10.57992/nmrxiv.p21.s147.d676
title: 3
DOI: 10.57992/nmrxiv.p21.s148
title: Hexyl hexyl
DOI: 10.57992/nmrxiv.p21.s148.d677
title: 1
DOI: 10.57992/nmrxiv.p21.s148.d678
title: 3
DOI: 10.57992/nmrxiv.p21.s148.d679
title: 2
DOI: 10.57992/nmrxiv.p21.s149
title: Propyl Butyl Pre-Final
DOI: 10.57992/nmrxiv.p21.s149.d680
title: 1
DOI: 10.57992/nmrxiv.p21.s149.d681
title: 2
DOI: 10.57992/nmrxiv.p21.s150
title: TBDPS acid OH amine amide
DOI: 10.57992/nmrxiv.p21.s150.d682
title: 1
DOI: 10.57992/nmrxiv.p21.s151
title: hexyl butyl pre final
DOI: 10.57992/nmrxiv.p21.s151.d683
title: 1
DOI: 10.57992/nmrxiv.p21.s151.d684
title: 2
DOI: 10.57992/nmrxiv.p21.s152
title: Propyl Ethyl Des Br.topspin
DOI: 10.57992/nmrxiv.p21.s152.d685
title: 1
DOI: 10.57992/nmrxiv.p21.s152.d686
title: 2
DOI: 10.57992/nmrxiv.p21.s152.d687
title: 3
DOI: 10.57992/nmrxiv.p21.s152.d688
title: 4
DOI: 10.57992/nmrxiv.p21.s152.d689
title: 5
DOI: 10.57992/nmrxiv.p21.s153
title: Hexyl Propyl
DOI: 10.57992/nmrxiv.p21.s153.d690
title: 1
DOI: 10.57992/nmrxiv.p21.s153.d691
title: 2
DOI: 10.57992/nmrxiv.p21.s154
title: Propyl Ethoxy Ethyl final Data.topspin
DOI: 10.57992/nmrxiv.p21.s154.d692
title: 1
DOI: 10.57992/nmrxiv.p21.s155
title: OH-AMINE PURE
DOI: 10.57992/nmrxiv.p21.s155.d693
title: 2
DOI: 10.57992/nmrxiv.p21.s156
title: Propyl Butyl Des Br
DOI: 10.57992/nmrxiv.p21.s156.d694
title: 2
DOI: 10.57992/nmrxiv.p21.s156.d695
title: 1
DOI: 10.57992/nmrxiv.p21.s157
title: Propyl Ethoxy Ethyl final Data.topspin
DOI: 10.57992/nmrxiv.p21.s157.d696
title: 2
DOI: 10.57992/nmrxiv.p21.s158
title: Hexyl ethyk des-Br
DOI: 10.57992/nmrxiv.p21.s158.d697
title: 2
DOI: 10.57992/nmrxiv.p21.s158.d698
title: 3
DOI: 10.57992/nmrxiv.p21.s159
title: Butyl Nayori
DOI: 10.57992/nmrxiv.p21.s159.d699
title: 1
DOI: 10.57992/nmrxiv.p21.s159.d700
title: 2
DOI: 10.57992/nmrxiv.p21.s159.d701
title: 4
DOI: 10.57992/nmrxiv.p21.s159.d702
title: 3
DOI: 10.57992/nmrxiv.p21.s160
title: TBDPS OH amide
DOI: 10.57992/nmrxiv.p21.s160.d703
title: 1
DOI: 10.57992/nmrxiv.p21.s161
title: Hexyl ethoxy ethyl Des Br
DOI: 10.57992/nmrxiv.p21.s161.d704
title: 2
DOI: 10.57992/nmrxiv.p21.s161.d705
title: 1
DOI: 10.57992/nmrxiv.p21.s161.d706
title: 4
DOI: 10.57992/nmrxiv.p21.s161.d707
title: 3
DOI: 10.57992/nmrxiv.p21.s162
title: Pr-OTBDPS_DI_Bn_amide
DOI: 10.57992/nmrxiv.p21.s162.d708
title: 1
DOI: 10.57992/nmrxiv.p21.s162.d709
title: 2
DOI: 10.57992/nmrxiv.p21.s163
title: Propyl amine TBS acid Amide data.topspin
DOI: 10.57992/nmrxiv.p21.s163.d710
title: 2
DOI: 10.57992/nmrxiv.p21.s163.d711
title: 1
DOI: 10.57992/nmrxiv.p21.s164
title: Propyl Hexyl Des Br data.topspin
DOI: 10.57992/nmrxiv.p21.s164.d712
title: 2
DOI: 10.57992/nmrxiv.p21.s164.d713
title: 1
DOI: 10.57992/nmrxiv.p21.s165
title: propyl hexyl final data.topspin
DOI: 10.57992/nmrxiv.p21.s165.d714
title: 2
DOI: 10.57992/nmrxiv.p21.s166
title: Propyl Hexyl Pre-Final
DOI: 10.57992/nmrxiv.p21.s166.d715
title: 2
DOI: 10.57992/nmrxiv.p21.s166.d716
title: 1
DOI: 10.57992/nmrxiv.p21.s167
title: Obn OTBDPS CHO
DOI: 10.57992/nmrxiv.p21.s167.d717
title: 2
DOI: 10.57992/nmrxiv.p21.s168
title: Hexyl Butyl Final
DOI: 10.57992/nmrxiv.p21.s168.d718
title: 1
DOI: 10.57992/nmrxiv.p21.s168.d719
title: 2
DOI: 10.57992/nmrxiv.p21.s169
title: TBDPS Bn Br CHO
DOI: 10.57992/nmrxiv.p21.s169.d720
title: 2
DOI: 10.57992/nmrxiv.p21.s170
title: OBn OH Acid
DOI: 10.57992/nmrxiv.p21.s170.d721
title: 2
DOI: 10.57992/nmrxiv.p21.s171
title: Hexyl hexyl prefinal
DOI: 10.57992/nmrxiv.p21.s171.d722
title: 1
DOI: 10.57992/nmrxiv.p21.s172
title: Propyl Nayori
DOI: 10.57992/nmrxiv.p21.s172.d723
title: 1
DOI: 10.57992/nmrxiv.p21.s172.d724
title: 3
DOI: 10.57992/nmrxiv.p21.s172.d725
title: 2
DOI: 10.57992/nmrxiv.p21.s173
title: OH-Amine
DOI: 10.57992/nmrxiv.p21.s173.d726
title: 2
DOI: 10.57992/nmrxiv.p21.s173.d727
title: 5
DOI: 10.5281/zenodo.10202183
title: idiosepius_pygmaeus_zanfona_1.fasta.gz

description: idiosepius_pygmaeus_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.10202184
title: idiosepius_pygmaeus_zanfona_1.fasta.gz

description: idiosepius_pygmaeus_zanfona_1.fasta.gz
DOI: 10.25952/tsjx-5x70
title: Biometric Identification of Cattle via Muzzle Print Patterns and Deep Learning in a Few-Shot Learning Context

description: The dataset consists of 300 images of cattle faces.  Each folder in the dataset represents individual cattle and the folder name correlates with the Cattle ID document for identification purposes.
description: The dataset consists of 300 images of cattle faces.  Each folder in the dataset represents individual cattle and the folder name correlates with the Cattle ID document for identification purposes.
DOI: 10.34740/kaggle/dsv/7038647
title: Full TMDB Movies Dataset 2023 (930K Movies)
DOI: 10.5281/zenodo.10202215
title: eueides_aliphera_zanfona_1.fasta.gz

description: eueides_aliphera_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.10202216
title: eueides_aliphera_zanfona_1.fasta.gz

description: eueides_aliphera_zanfona_1.fasta.gz
DOI: 10.21223/s3rgsi
title: Dataset for: Asian table potato early maturing. Intermediate trials

description: Evaluation of abiotic stress tolerance in advance potato clones of the lowland tropic virus resistant population (LTVR - Cycle 7) under heat conditions. 1) San Ramon - 2021. A field trial of 744 potato genotypes, among 689 VHW C7 genotypes, 42 parentals, and 13 checks, were planted using a row and column design at San Ramon during the months of August 2021 to November 2021 under heat conditions in a field experiment. 2) Arequipa - 2022. A field trial of 676 potato genotypes, among 522 LVTR C7 genotypes, 13 LTVR C5 genotypes; 67 LTVR C6 genotypes; 31 LDM genotypes; 26 LTLB genotypes and 17 varieties, were planted using a row and column design at Arequipa Majes during the months of December 2022 to February 2023. Two irrigation treatments were applied: normal irrigation (NI) and deficit Irrigation (DI)). 3) Huancayo -2022. 3) Huancayo -2022. A field trial of 643 potato genotypes, among 480 LVTR C7 genotypes, 13 LTVR C5 genotypes; 70 LTVR C6 genotypes; 50 LDM genotypes; 20 LTLB genotypes, and 10 varieties, were planted using a row an column design at Huancayo during the months of November 2022 to March 2023.
DOI: 10.5281/zenodo.10202217
title: Dataset for the publication titlted "A computational mechanics model for producing molecular assembly using molecularly woven pantographs" in the journal Cell Reports Physical Science, authored by Byeonghwa Goh and Joonmyung Choi.

description: Dataset for the publication titlted "A computational mechanics model for producing molecular assembly using molecularly woven pantographs" in the journal Cell Reports Physical Science, authored by Byeonghwa Goh and Joonmyung Choi.
DOI: 10.5281/zenodo.10202218
title: Dataset for the publication titlted "A computational mechanics model for producing molecular assembly using molecularly woven pantographs" in the journal Cell Reports Physical Science, authored by Byeonghwa Goh and Joonmyung Choi.

description: Dataset for the publication titlted "A computational mechanics model for producing molecular assembly using molecularly woven pantographs" in the journal Cell Reports Physical Science, authored by Byeonghwa Goh and Joonmyung Choi.
DOI: 10.34740/kaggle/dsv/7038802
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.5517/ccdc.csd.cc2g3zsc
title: CCDC 2267953: Experimental Crystal Structure Determination

description: Related Article: Michal Aman, Libor Dostál, Aleš Růžička, Zdenka Růžičková, Roman Jambor|2023|Dalton Trans.|52|16870|doi:10.1039/D3DT02568C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g3ztd
title: CCDC 2267954: Experimental Crystal Structure Determination

description: Related Article: Michal Aman, Libor Dostál, Aleš Růžička, Zdenka Růžičková, Roman Jambor|2023|Dalton Trans.|52|16870|doi:10.1039/D3DT02568C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g3zvf
title: CCDC 2267955: Experimental Crystal Structure Determination

description: Related Article: Michal Aman, Libor Dostál, Aleš Růžička, Zdenka Růžičková, Roman Jambor|2023|Dalton Trans.|52|16870|doi:10.1039/D3DT02568C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g3zwg
title: CCDC 2267956: Experimental Crystal Structure Determination

description: Related Article: Michal Aman, Libor Dostál, Aleš Růžička, Zdenka Růžičková, Roman Jambor|2023|Dalton Trans.|52|16870|doi:10.1039/D3DT02568C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g3zxh
title: CCDC 2267957: Experimental Crystal Structure Determination

description: Related Article: Michal Aman, Libor Dostál, Aleš Růžička, Zdenka Růžičková, Roman Jambor|2023|Dalton Trans.|52|16870|doi:10.1039/D3DT02568C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.10202195
title: Dataset related to Initial Submission: Myopic decision-makers need short-term actionable targets to avoid failing the European energy transition

description: Dataset related to initial submission of research article:
Myopic decision-makers need short-term actionable targets to avoid failing the European energy transition
All input data, source code, and result files needed to reproduce results and study. We do not provide support for using the optimization framework.Refer to README.docx for further information on content.
DOI: 10.5281/zenodo.10202194
title: Dataset related to Initial Submission: Myopic decision-makers need short-term actionable targets to avoid failing the European energy transition

description: Dataset related to initial submission of research article:
Myopic decision-makers need short-term actionable targets to avoid failing the European energy transition
All input data, source code, and result files needed to reproduce results and study. We do not provide support for using the optimization framework.Refer to README.docx for further information on content.
DOI: 10.6084/m9.figshare.23716943
title: Scimitar syndrome with hemi-cor triatriatum

description: Scimitar syndrome with hemi-cor triatriatum
DOI: 10.6084/m9.figshare.23716943.v1
title: Scimitar syndrome with hemi-cor triatriatum

description: Scimitar syndrome with hemi-cor triatriatum
DOI: 10.6084/m9.figshare.24442004
title: Atrial myxoma presenting as bilateral cerebellar infarct and mitral obstruction

description: Atrial myxoma presenting as bilateral cerebellar infarct and mitral obstruction
DOI: 10.6084/m9.figshare.24442004.v1
title: Atrial myxoma presenting as bilateral cerebellar infarct and mitral obstruction

description: Atrial myxoma presenting as bilateral cerebellar infarct and mitral obstruction
DOI: 10.25919/nn59-h130
title: Parkes observations for project P1050 semester 2023OCTS_03

description: This is a request for the observation time for the timing campaign of new pulsars discovered in the reprocessing of the low-latitude Galactic plane section of the HTRU-S survey (HTRU-S LowLat) and the Parkes Multibeam Pulsar Survey (PMPS). We have completed 90 % of the HTRU-S LowLat survey and completed zero acceleration PMPS search with GPU-based coherent acceleration search, template bank, and fast folding algorithm pipelines and now have discovered 112 previously unknown pulsars among which 18 were found in the PMPS. Interesting science can usually only be derived from a new pulsar after confirmation, and a follow-up timing campaign is carried out. At least 1-2 year of initial timing is the minimum timespan required to fully characterise any newly-discovered pulsars, essential for deriving pulsar parameters such as the characteristic age, magnetic field strength, and spin-down rate, as well as for detecting any unexpected behaviour of the pulsar which might result from emission instabilities. This project is necessary for the timing of several interesting pulsars, including binary pulsars, high DM pulsars, scattered profile pulsars, and bright ones that show emissions in larger bandwidths in the UWL band. Apart from this, finding the nature of a unique binary pulsar system via a dedicated observing campaign is also another goal. The follow-up timing in semester 2023OCTS will assist in completing many exciting large-term science goals.
DOI: 10.34740/kaggle/dsv/7038974
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.34740/kaggle/dsv/7038976
title: BBC News
DOI: 10.6084/m9.figshare.21393206
title: Clinical characteristics of gradual onset injuries in recreational road cyclists - SAFER XXVII study over 5 years in 62758 race entrants

description: Gradual onset injuries (GOIs) in recreational cyclists are common but not well described. The aim of this study is to describe the clinical characteristics of GOIs (main anatomical regions, specific anatomical sites, specific GOIs, tissue type, severity of GOIs, and treatment modalities) of GOIs among entrants participating in a community-based mass participation-cycling event over 5 years. During the 2016–2020 Cape Town Cycle Tour, 62,758 consenting race entrants completed an online pre-race medical screening questionnaire. 1879 reported GOIs in the previous 12 months. In this descriptive epidemiological study, we report frequency (% entrants) of GOIs by anatomical region/sites, specific GOI, tissue type, GOI severity, and treatment modalities used. The main anatomical regions affected by GOIs were lower limb (47.4%), upper limb (20.1%), hip/groin/pelvis (10.0%), and lower back (7.8%). Specifically, GOI were common in the knee (32.1%), shoulder (10.6%), lower back (7.8%) and the hip/buttock muscles (5.2%). The most common specific GOI was anterior knee pain (17.2%). 57.0% of GOIs were in soft tissue. Almost half (43.9%) of cyclists with a GOI reported symptom duration &gt;12 months, and 40.3% of GOIs were severe enough to reduce/prevent cycling. Main treatment modalities used for GOIs were rest (45.9%), physiotherapy (43.0%), stretches (33.2%), and strength exercises (33.1%). In recreational cyclists, &gt;50% of GOIs affect the knees, shoulders, hip/buttock muscles and lower back, and 40% are severe enough to reduce/prevent cycling. Almost 45% of cyclists with GOIs in the lower back; or hip/groin/pelvis; or lower limbs; or upper limb reported a symptom duration of &gt;12 months. Risk factors associated with GOIs need to be determined and preventative programs for GOIs need to be designed, implemented, and evaluated.
DOI: 10.6084/m9.figshare.21393206.v1
title: Clinical characteristics of gradual onset injuries in recreational road cyclists - SAFER XXVII study over 5 years in 62758 race entrants

description: Gradual onset injuries (GOIs) in recreational cyclists are common but not well described. The aim of this study is to describe the clinical characteristics of GOIs (main anatomical regions, specific anatomical sites, specific GOIs, tissue type, severity of GOIs, and treatment modalities) of GOIs among entrants participating in a community-based mass participation-cycling event over 5 years. During the 2016–2020 Cape Town Cycle Tour, 62,758 consenting race entrants completed an online pre-race medical screening questionnaire. 1879 reported GOIs in the previous 12 months. In this descriptive epidemiological study, we report frequency (% entrants) of GOIs by anatomical region/sites, specific GOI, tissue type, GOI severity, and treatment modalities used. The main anatomical regions affected by GOIs were lower limb (47.4%), upper limb (20.1%), hip/groin/pelvis (10.0%), and lower back (7.8%). Specifically, GOI were common in the knee (32.1%), shoulder (10.6%), lower back (7.8%) and the hip/buttock muscles (5.2%). The most common specific GOI was anterior knee pain (17.2%). 57.0% of GOIs were in soft tissue. Almost half (43.9%) of cyclists with a GOI reported symptom duration &gt;12 months, and 40.3% of GOIs were severe enough to reduce/prevent cycling. Main treatment modalities used for GOIs were rest (45.9%), physiotherapy (43.0%), stretches (33.2%), and strength exercises (33.1%). In recreational cyclists, &gt;50% of GOIs affect the knees, shoulders, hip/buttock muscles and lower back, and 40% are severe enough to reduce/prevent cycling. Almost 45% of cyclists with GOIs in the lower back; or hip/groin/pelvis; or lower limbs; or upper limb reported a symptom duration of &gt;12 months. Risk factors associated with GOIs need to be determined and preventative programs for GOIs need to be designed, implemented, and evaluated.
DOI: 10.6084/m9.figshare.24201289
title: A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental Disorders

description: Major depressive disorder (MDD) is one of the leading causes of disability-adjusted life years. Emerging evidence indicates the presence of reward processing abnormalities in MDD. An important scientific question is whether the abnormalities are due to reduced sensitivity to received rewards or reduced learning ability. Motivated by the probabilistic reward task (PRT) experiment in the EMBARC study, we propose a semiparametric inverse reinforcement learning (RL) approach to characterize the reward-based decision-making of MDD patients. The model assumes that a subject’s decision-making process is updated based on a reward prediction error weighted by the subject-specific learning rate. To account for the fact that one favors a decision leading to a potentially high reward, but this decision process is not necessarily linear, we model reward sensitivity with a nondecreasing and nonlinear function. For inference, we estimate the latter via approximation by I-splines and then maximize the joint conditional log-likelihood. We show that the resulting estimators are consistent and asymptotically normal. Through extensive simulation studies, we demonstrate that under different reward-generating distributions, the semiparametric inverse RL outperforms the parametric inverse RL. We apply the proposed method to EMBARC and find that MDD and control groups have similar learning rates but different reward sensitivity functions. There is strong statistical evidence that reward sensitivity functions have nonlinear forms. Using additional brain imaging data in the same study, we find that both reward sensitivity and learning rate are associated with brain activities in the negative affect circuitry under an emotional conflict task. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.24201289.v1
title: A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental Disorders

description: Major depressive disorder (MDD) is one of the leading causes of disability-adjusted life years. Emerging evidence indicates the presence of reward processing abnormalities in MDD. An important scientific question is whether the abnormalities are due to reduced sensitivity to received rewards or reduced learning ability. Motivated by the probabilistic reward task (PRT) experiment in the EMBARC study, we propose a semiparametric inverse reinforcement learning (RL) approach to characterize the reward-based decision-making of MDD patients. The model assumes that a subject’s decision-making process is updated based on a reward prediction error weighted by the subject-specific learning rate. To account for the fact that one favors a decision leading to a potentially high reward, but this decision process is not necessarily linear, we model reward sensitivity with a nondecreasing and nonlinear function. For inference, we estimate the latter via approximation by I-splines and then maximize the joint conditional log-likelihood. We show that the resulting estimators are consistent and asymptotically normal. Through extensive simulation studies, we demonstrate that under different reward-generating distributions, the semiparametric inverse RL outperforms the parametric inverse RL. We apply the proposed method to EMBARC and find that MDD and control groups have similar learning rates but different reward sensitivity functions. There is strong statistical evidence that reward sensitivity functions have nonlinear forms. Using additional brain imaging data in the same study, we find that both reward sensitivity and learning rate are associated with brain activities in the negative affect circuitry under an emotional conflict task. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.24272179.v1
title: The Cellwise Minimum Covariance Determinant Estimator

description: The usual Minimum Covariance Determinant (MCD) estimator of a covariance matrix is robust against casewise outliers. These are cases (that is, rows of the data matrix) that behave differently from the majority of cases, raising suspicion that they might belong to a different population. On the other hand, cellwise outliers are individual cells in the data matrix. When a row contains one or more outlying cells, the other cells in the same row still contain useful information that we wish to preserve. We propose a cellwise robust version of the MCD method, called cellMCD. Its main building blocks are observed likelihood and a penalty term on the number of flagged cellwise outliers. It possesses good breakdown properties. We construct a fast algorithm for cellMCD based on concentration steps (C-steps) that always lower the objective. The method performs well in simulations with cellwise outliers, and has high finite-sample efficiency on clean data. It is illustrated on real data with visualizations of the results.