cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16305895.v1
title: Additional file 3 of Integrated analysis of competing endogenous RNA networks in peripheral blood mononuclear cells of systemic lupus erythematosus

description: Additional file 3. SL_B vs H_B_transcripts-mRNAs
DOI: 10.6084/m9.figshare.16305895
title: Additional file 3 of Integrated analysis of competing endogenous RNA networks in peripheral blood mononuclear cells of systemic lupus erythematosus

description: Additional file 3. SL_B vs H_B_transcripts-mRNAs
DOI: 10.6084/m9.figshare.16305898
title: Additional file 4 of Integrated analysis of competing endogenous RNA networks in peripheral blood mononuclear cells of systemic lupus erythematosus

description: Additional file 4. SL_B vs H_B differential expression of miRNAs
DOI: 10.6084/m9.figshare.16305901.v1
title: Additional file 5 of Integrated analysis of competing endogenous RNA networks in peripheral blood mononuclear cells of systemic lupus erythematosus

description: Additional file 5. SL_B vs H_B_lncRNA_differential_expression
DOI: 10.6084/m9.figshare.16305898.v1
title: Additional file 4 of Integrated analysis of competing endogenous RNA networks in peripheral blood mononuclear cells of systemic lupus erythematosus

description: Additional file 4. SL_B vs H_B differential expression of miRNAs
DOI: 10.6084/m9.figshare.16305901
title: Additional file 5 of Integrated analysis of competing endogenous RNA networks in peripheral blood mononuclear cells of systemic lupus erythematosus

description: Additional file 5. SL_B vs H_B_lncRNA_differential_expression
DOI: 10.6084/m9.figshare.16305904.v1
title: Additional file 6 of Integrated analysis of competing endogenous RNA networks in peripheral blood mononuclear cells of systemic lupus erythematosus

description: Additional file 6. SL_B vs H_B_circRNA_differential_expression
DOI: 10.6084/m9.figshare.16305904
title: Additional file 6 of Integrated analysis of competing endogenous RNA networks in peripheral blood mononuclear cells of systemic lupus erythematosus

description: Additional file 6. SL_B vs H_B_circRNA_differential_expression
DOI: 10.6084/m9.figshare.16305913
title: Additional file 9 of Integrated analysis of competing endogenous RNA networks in peripheral blood mononuclear cells of systemic lupus erythematosus

description: Additional file 9. Common elements of GO terms and KEGG pathways
DOI: 10.6084/m9.figshare.16305913.v1
title: Additional file 9 of Integrated analysis of competing endogenous RNA networks in peripheral blood mononuclear cells of systemic lupus erythematosus

description: Additional file 9. Common elements of GO terms and KEGG pathways
DOI: 10.6084/m9.figshare.16305925
title: Additional file 1 of The m6A methyltransferase METTL3 controls epithelial-mesenchymal transition, migration and invasion of breast cancer through the MALAT1/miR-26b/HMGA2 axis

description: Additional file 1. The pathological diagnosis of patients.
DOI: 10.6084/m9.figshare.16305925.v1
title: Additional file 1 of The m6A methyltransferase METTL3 controls epithelial-mesenchymal transition, migration and invasion of breast cancer through the MALAT1/miR-26b/HMGA2 axis

description: Additional file 1. The pathological diagnosis of patients.
DOI: 10.6084/m9.figshare.16305942
title: Additional file 2 of Skin microbiota dynamics following B. subtilis formulation challenge: an in vivo study in mice

description: Additional file 2.
DOI: 10.6084/m9.figshare.16305942.v1
title: Additional file 2 of Skin microbiota dynamics following B. subtilis formulation challenge: an in vivo study in mice

description: Additional file 2.
DOI: 10.6084/m9.figshare.16305945.v1
title: Additional file 3 of Skin microbiota dynamics following B. subtilis formulation challenge: an in vivo study in mice

description: Additional file 3: Supplementary Table 2. Relative abundance of the seven most represented bacterial genera for different treatments (B. subtilis in Pluronic, B. subtilis and Pluronic) and treatment days (2, 4, 8, 11 and 14). Each experimental group consisted of 6 mice, named A-F for replicates. For each bacterial genus, given a treatment and treatment day, the mean and relative abundance in percentage (Rel. Ab. (%)) are calculated.
DOI: 10.6084/m9.figshare.16305945
title: Additional file 3 of Skin microbiota dynamics following B. subtilis formulation challenge: an in vivo study in mice

description: Additional file 3: Supplementary Table 2. Relative abundance of the seven most represented bacterial genera for different treatments (B. subtilis in Pluronic, B. subtilis and Pluronic) and treatment days (2, 4, 8, 11 and 14). Each experimental group consisted of 6 mice, named A-F for replicates. For each bacterial genus, given a treatment and treatment day, the mean and relative abundance in percentage (Rel. Ab. (%)) are calculated.
DOI: 10.6084/m9.figshare.16305948
title: Additional file 4 of Skin microbiota dynamics following B. subtilis formulation challenge: an in vivo study in mice

description: Additional file 4: Supplementary Table 3. Differential bacterial species resulting from B. subtilis in Pluronic treatment on different treatment time points, identified by DESeq2 (-11 ;padj&lt;0.05, Wald-test). Only bacteria with at least 50 counts in two or more samples were included in the analysis.
DOI: 10.6084/m9.figshare.16305948.v1
title: Additional file 4 of Skin microbiota dynamics following B. subtilis formulation challenge: an in vivo study in mice

description: Additional file 4: Supplementary Table 3. Differential bacterial species resulting from B. subtilis in Pluronic treatment on different treatment time points, identified by DESeq2 (-11 ;padj&lt;0.05, Wald-test). Only bacteria with at least 50 counts in two or more samples were included in the analysis.
DOI: 10.6084/m9.figshare.16306033.v1
title: Additional file 11 of Gene-associated methylation status of ST14 as a predictor of survival and hormone receptor positivity in breast Cancer

description: Additional file 11. DEGs between high and low GAM groups.
DOI: 10.6084/m9.figshare.16306033
title: Additional file 11 of Gene-associated methylation status of ST14 as a predictor of survival and hormone receptor positivity in breast Cancer

description: Additional file 11. DEGs between high and low GAM groups.
DOI: 10.6084/m9.figshare.16305594.v1
title: Additional file 5 of Comparative analysis of the transcriptional responses of five Leishmania species to trivalent antimony

description: Additional file 5: Table S5. Metabolic pathways and differentially expressed genes involved among Leishmania species.
DOI: 10.6084/m9.figshare.16305591.v1
title: Additional file 4 of Comparative analysis of the transcriptional responses of five Leishmania species to trivalent antimony

description: Additional file 4: Table S4. Gene ontology (three functional groups: cellular component, molecular function, and biological process) of Leishmania species.
DOI: 10.6084/m9.figshare.16305588.v1
title: Additional file 3 of Comparative analysis of the transcriptional responses of five Leishmania species to trivalent antimony

description: Additional file 3: Table S3. Exclusive orthologs of Leishmania species.
DOI: 10.6084/m9.figshare.16305585.v1
title: Additional file 2 of Comparative analysis of the transcriptional responses of five Leishmania species to trivalent antimony

description: Additional file 2: Table S2. Shared orthologous shared between Leishmania species.
DOI: 10.21227/0gmx-6g30
title: benchmark dataset

description: 数据集收集于 2009 年至 2010 年，通常用于预测学生的表现和个性化。在学生信息方面，此数据集包含 525，535 行学生答案，包括 4，217 名学生和 124 种技能。
DOI: 10.6084/m9.figshare.16305582.v1
title: Additional file 1 of Comparative analysis of the transcriptional responses of five Leishmania species to trivalent antimony

description: Additional file 1: Table S1. General information about the samples and reference genomes used in this study. Samples were obtained from the European Nucleotide Archive (ENA) and reference genomes from TriTrypDB.
DOI: 10.6084/m9.figshare.16305573.v1
title: Additional file 6 of Anti-AQP4 autoantibodies promote ATP release from astrocytes and induce mechanical pain in rats

description: Additional file 6: Supplementary Table 1. Gene list of Fold change&gt;2.0 and P-Value&lt;0.05
DOI: 10.6084/m9.figshare.16305549.v1
title: Additional file 1 of Lower objectively and subjectively assessed numeracy are both associated with poorer self-rated health

description: Additional file 1. Raw Empire State poll data.
DOI: 10.6084/m9.figshare.16305442.v1
title: Additional file 9 of Pathogen and drought stress affect cell wall and phytohormone signaling to shape host responses in a sorghum COMT bmr12 mutant

description: Additional file 9. Lexogen-recommended script for trimming raw RNA-Seq reads.
DOI: 10.6084/m9.figshare.16305685
title: Additional file 1 of Modeling analysis reveals the transmission trend of COVID-19 and control efficiency of human intervention

description: Additional file 1: Data S1. Data on the number of cumulative cases of COVID-19 in seven countries.
DOI: 10.6084/m9.figshare.16305594
title: Additional file 5 of Comparative analysis of the transcriptional responses of five Leishmania species to trivalent antimony

description: Additional file 5: Table S5. Metabolic pathways and differentially expressed genes involved among Leishmania species.
DOI: 10.6084/m9.figshare.16305591
title: Additional file 4 of Comparative analysis of the transcriptional responses of five Leishmania species to trivalent antimony

description: Additional file 4: Table S4. Gene ontology (three functional groups: cellular component, molecular function, and biological process) of Leishmania species.
DOI: 10.6084/m9.figshare.16305588
title: Additional file 3 of Comparative analysis of the transcriptional responses of five Leishmania species to trivalent antimony

description: Additional file 3: Table S3. Exclusive orthologs of Leishmania species.
DOI: 10.6084/m9.figshare.16305585
title: Additional file 2 of Comparative analysis of the transcriptional responses of five Leishmania species to trivalent antimony

description: Additional file 2: Table S2. Shared orthologous shared between Leishmania species.
DOI: 10.6084/m9.figshare.16305582
title: Additional file 1 of Comparative analysis of the transcriptional responses of five Leishmania species to trivalent antimony

description: Additional file 1: Table S1. General information about the samples and reference genomes used in this study. Samples were obtained from the European Nucleotide Archive (ENA) and reference genomes from TriTrypDB.
DOI: 10.6084/m9.figshare.16305573
title: Additional file 6 of Anti-AQP4 autoantibodies promote ATP release from astrocytes and induce mechanical pain in rats

description: Additional file 6: Supplementary Table 1. Gene list of Fold change&gt;2.0 and P-Value&lt;0.05
DOI: 10.6084/m9.figshare.16305549
title: Additional file 1 of Lower objectively and subjectively assessed numeracy are both associated with poorer self-rated health

description: Additional file 1. Raw Empire State poll data.
DOI: 10.6084/m9.figshare.14554239
title: Interface-based design of the favipiravir-binding site in SARS-CoV-2 RNA-dependent RNA polymerase reveals mutations conferring resistance to chain termination

description: Favipiravir is a broad-spectrum inhibitor of viral RNA-dependent RNA polymerase (RdRp) currently being used to manage COVID-19. Accumulation of mutations in SARS-CoV-2 RdRp may facilitate antigenic drift, generating favipiravir resistance. Focusing on the chain-termination mechanism utilized by favipiravir, we used high-throughput interface-based protein design to generate &gt;100,000 designs of the favipiravir-binding site of RdRp and identify mutational hotspots. We identified several single-point mutants and designs having a sequence identity of 97–98% with wildtype RdRp, suggesting that SARS-CoV-2 can develop favipiravir resistance with few mutations. Out of 134 mutations documented in the CoV-GLUE database, 63 specific mutations were already predicted as resistant in our calculations, thus attaining ~47% correlation with the sequencing data. These findings improve our understanding of the potential signatures of adaptation in SARS-CoV-2 against favipiravir.
DOI: 10.6084/m9.figshare.14554239.v2
title: Interface-based design of the favipiravir-binding site in SARS-CoV-2 RNA-dependent RNA polymerase reveals mutations conferring resistance to chain termination

description: Favipiravir is a broad-spectrum inhibitor of viral RNA-dependent RNA polymerase (RdRp) currently being used to manage COVID-19. Accumulation of mutations in SARS-CoV-2 RdRp may facilitate antigenic drift, generating favipiravir resistance. Focusing on the chain-termination mechanism utilized by favipiravir, we used high-throughput interface-based protein design to generate &gt;100,000 designs of the favipiravir-binding site of RdRp and identify mutational hotspots. We identified several single-point mutants and designs having a sequence identity of 97–98% with wildtype RdRp, suggesting that SARS-CoV-2 can develop favipiravir resistance with few mutations. Out of 134 mutations documented in the CoV-GLUE database, 63 specific mutations were already predicted as resistant in our calculations, thus attaining ~47% correlation with the sequencing data. These findings improve our understanding of the potential signatures of adaptation in SARS-CoV-2 against favipiravir.
DOI: 10.6084/m9.figshare.14554239.v1
title: Interface-based design of the favipiravir-binding site in SARS-CoV-2 RNA-dependent RNA polymerase reveals mutations conferring resistance to chain termination

description: Favipiravir is a broad-spectrum inhibitor of viral RNA-dependent RNA polymerase (RdRp) currently being used to manage COVID-19. Accumulation of mutations in SARS-CoV-2 RdRp may facilitate antigenic drift, generating favipiravir resistance. Focusing on the chain-termination mechanism utilized by favipiravir, we used high-throughput interface-based protein design to generate &gt;100,000 designs of the favipiravir-binding site of RdRp and identify mutational hotspots. We identified several single-point mutants and designs having a sequence identity of 97–98% with wildtype RdRp, suggesting that SARS-CoV-2 can develop favipiravir resistance with few mutations. Out of 134 mutations documented in the CoV-GLUE database, 63 specific mutations were already predicted as resistant in our calculations, thus attaining ~47% correlation with the sequencing data. These findings improve our understanding of the potential signatures of adaptation in SARS-CoV-2 against favipiravir.
DOI: 10.5281/zenodo.5232232
title: BBL-GDSFs-data on central Jiangsu coast, China

description: Dataset of GDSFs observed on central Jiangsu coast, China
DOI: 10.5517/ccdc.csd.cc26pgbq
title: CCDC 2046413: Experimental Crystal Structure Determination

description: Related Article: Yingyu Li|2021|CSD Communication|||
DOI: 10.5281/zenodo.5195517
title: BBL-GDSFs-data on central Jiangsu coast, China

description: Dataset of GDSFs observed on central Jiangsu coast, China
DOI: 10.6084/m9.figshare.16305363.v1
title: CAMI Airways (Co-assembly) dataset and binning results

description: CAMI GI dataset from the toy Human Microbiome Project dataset of the second Critical Assessment of Metagenomic Interpretation. Contains the following files.<br>- Contigs file- Paths file (metaSPAdes)- Assembly graph file (metaSPAdes)- Abundance file- Binning results (including CheckM results)
DOI: 10.5066/p9hmggam
title: Point locations of brick kilns in Kabul, Afghanistan, derived from 1965, 2004, 2011, and 2018 satellite imagery

description: This dataset was created as part of the USGS Afghanistan Project investigating artisanal and small-scale mining activity. Clay mining for brick making purposes represents a small but important segment of the mineral extraction industry in Kabul, Afghanistan. Over the past several decades Kabul has grown from a relatively small city, with a 1970 population of less than 500,000 people, to a sprawling urban center with approximately 4.2 million people in 2020 (CIA 2020). Population growth has expanded the need for housing, commercial, and industrial buildings, and associated infrastructure. This has greatly increased demand for bricks, the primary construction material of the region. In this study, very high-resolution satellite imagery was interpreted to quantify and characterize the type, number, and location of brick kilns for 1965, 2004, 2011 and 2018. Geospatial analysis of these kiln locations together with geologic data and Landsat multispectral image analysis provides additional information about the mineral resources exploited for brick making.
DOI: 10.5066/p9mnivb3
title: Eriogonum visheri (Visher's buckwheat) seed, pollen, and insects at Badlands National Park, South Dakota, USA, 2014-2015, 2017

description: This data record contains fitness data for Visher's buckwheat (Eriogonum visheri) for the years 2014, 2015 and 2017 at Badlands National Park, South Dakota, USA. These data include insect visitation, pollen deposited on stigmas, achene size and germination over three field seasons (two field seasons for germination: 2015 and 2017) in four populations (two populations in 2017).
DOI: 10.34740/kaggle/ds/1545253
title: US Wildfires due to Lightning (2004 - 2015)
DOI: 10.5517/ccdc.csd.cc26wx9b
title: CCDC 2052612: Experimental Crystal Structure Determination

description: Related Article: xin liu|2020|CSD Communication|||
description: Related Article: Xin Liu, Junyang Liu, Jianlei Wu, Chuang-Chuang Li|2021|J.Org.Chem.|86|11125|doi:10.1021/acs.joc.1c00185
DOI: 10.5517/ccdc.csd.cc26wxbc
title: CCDC 2052613: Experimental Crystal Structure Determination

description: Related Article: xin liu|2020|CSD Communication|||
description: Related Article: Xin Liu, Junyang Liu, Jianlei Wu, Chuang-Chuang Li|2021|J.Org.Chem.|86|11125|doi:10.1021/acs.joc.1c00185
DOI: 10.5517/ccdc.csd.cc27bdrr
title: CCDC 2065584: Experimental Crystal Structure Determination

description: Related Article: Haruna Fujimoto, Daisuke Shimoyama, Katsuo Katayanagi, Naomi Kawata, Takehiro Hirao, Takeharu Haino|2021|Org.Lett.|23|6217|doi:10.1021/acs.orglett.1c01837
DOI: 10.5517/ccdc.csd.cc27bdqq
title: CCDC 2065583: Experimental Crystal Structure Determination

description: Related Article: Haruna Fujimoto, Daisuke Shimoyama, Katsuo Katayanagi, Naomi Kawata, Takehiro Hirao, Takeharu Haino|2021|Org.Lett.|23|6217|doi:10.1021/acs.orglett.1c01837
DOI: 10.5517/ccdc.csd.cc27nkl2
title: CCDC 2075344: Experimental Crystal Structure Determination

description: Related Article: Chenyun Qian, Dan Yuan, Yaorong Wang, Yingming Yao|2021|J.Organomet.Chem.|951|122007|doi:10.1016/j.jorganchem.2021.122007
DOI: 10.5517/ccdc.csd.cc27nkr7
title: CCDC 2075349: Experimental Crystal Structure Determination

description: Related Article: Chenyun Qian, Dan Yuan, Yaorong Wang, Yingming Yao|2021|J.Organomet.Chem.|951|122007|doi:10.1016/j.jorganchem.2021.122007
DOI: 10.5517/ccdc.csd.cc27nks8
title: CCDC 2075350: Experimental Crystal Structure Determination

description: Related Article: Chenyun Qian, Dan Yuan, Yaorong Wang, Yingming Yao|2021|J.Organomet.Chem.|951|122007|doi:10.1016/j.jorganchem.2021.122007
DOI: 10.5517/ccdc.csd.cc27nkvb
title: CCDC 2075352: Experimental Crystal Structure Determination

description: Related Article: Chenyun Qian, Dan Yuan, Yaorong Wang, Yingming Yao|2021|J.Organomet.Chem.|951|122007|doi:10.1016/j.jorganchem.2021.122007
DOI: 10.5517/ccdc.csd.cc27nkwc
title: CCDC 2075353: Experimental Crystal Structure Determination

description: Related Article: Chenyun Qian, Dan Yuan, Yaorong Wang, Yingming Yao|2021|J.Organomet.Chem.|951|122007|doi:10.1016/j.jorganchem.2021.122007
DOI: 10.5517/ccdc.csd.cc27p133
title: CCDC 2075794: Experimental Crystal Structure Determination

description: Related Article: Yulin Duan, Yanfang Deng, Pengfei Bu, Yi Guo, Zhengyi Shi, Yunfang Cao, Yeting Zhang, Hong Hu, Zhengxi Hu, Changxing Qi, Yonghui Zhang|2021|Bioorg.Chem.|115|105246|doi:10.1016/j.bioorg.2021.105246
DOI: 10.5517/ccdc.csd.cc27p144
title: CCDC 2075795: Experimental Crystal Structure Determination

description: Related Article: Yulin Duan, Yanfang Deng, Pengfei Bu, Yi Guo, Zhengyi Shi, Yunfang Cao, Yeting Zhang, Hong Hu, Zhengxi Hu, Changxing Qi, Yonghui Zhang|2021|Bioorg.Chem.|115|105246|doi:10.1016/j.bioorg.2021.105246
DOI: 10.5517/ccdc.csd.cc27q0cc
title: CCDC 2076732: Experimental Crystal Structure Determination

description: Related Article: Yulin Duan, Yanfang Deng, Pengfei Bu, Yi Guo, Zhengyi Shi, Yunfang Cao, Yeting Zhang, Hong Hu, Zhengxi Hu, Changxing Qi, Yonghui Zhang|2021|Bioorg.Chem.|115|105246|doi:10.1016/j.bioorg.2021.105246
DOI: 10.5517/ccdc.csd.cc27zdl7
title: CCDC 2084799: Experimental Crystal Structure Determination

description: Related Article: Jia-Hong Huang, Yubing Si, Xi-Yan Dong, Zhao-Yang Wang, Li-Ying Liu, Shuang-Quan Zang, Thomas C. W. Mak|2021|J.Am.Chem.Soc.|143|12439|doi:10.1021/jacs.1c05568
DOI: 10.5517/ccdc.csd.cc27zdm8
title: CCDC 2084800: Experimental Crystal Structure Determination

description: Related Article: Jia-Hong Huang, Yubing Si, Xi-Yan Dong, Zhao-Yang Wang, Li-Ying Liu, Shuang-Quan Zang, Thomas C. W. Mak|2021|J.Am.Chem.Soc.|143|12439|doi:10.1021/jacs.1c05568
DOI: 10.5517/ccdc.csd.cc27zdn9
title: CCDC 2084801: Experimental Crystal Structure Determination

description: Related Article: Jia-Hong Huang, Yubing Si, Xi-Yan Dong, Zhao-Yang Wang, Li-Ying Liu, Shuang-Quan Zang, Thomas C. W. Mak|2021|J.Am.Chem.Soc.|143|12439|doi:10.1021/jacs.1c05568
DOI: 10.5517/ccdc.csd.cc27zdpb
title: CCDC 2084802: Experimental Crystal Structure Determination

description: Related Article: Jia-Hong Huang, Yubing Si, Xi-Yan Dong, Zhao-Yang Wang, Li-Ying Liu, Shuang-Quan Zang, Thomas C. W. Mak|2021|J.Am.Chem.Soc.|143|12439|doi:10.1021/jacs.1c05568
DOI: 10.5517/ccdc.csd.cc283gmh
title: CCDC 2088706: Experimental Crystal Structure Determination

description: Related Article: Yifeng Ou, Tianbao Yang, Niu Tang, Shuang-Feng Yin, Nobuaki Kambe, Renhua Qiu|2021|Org.Lett.|23|6417|doi:10.1021/acs.orglett.1c02227
DOI: 10.5517/ccdc.csd.cc28cc89
title: CCDC 2096290: Experimental Crystal Structure Determination

description: Related Article: N. Elangovan, S. Sowrirajan|2021|Heliyon|7|e07724|doi:10.1016/j.heliyon.2021.e07724
DOI: 10.34740/kaggle/dsv/2547979
title: Contrastive Language Image Pretraining by openai
DOI: 10.6084/m9.figshare.12857672
title: Model output for "Observed Antarctic sea ice expansion reproduced in a climate model after correcting biases in sea ice drift velocity"

description: The Antarctic sea ice area expanded significantly during 1979-2015. This is at odds with state-of-the-art climate models, which typically simulate a receding Antarctic sea ice cover in response to increasing greenhouse forcing. Here we investigate the hypothesis that this discrepancy between models and observations occurs due to simulation biases in the sea ice drift velocity. As a control we use the Community Earth System Model (CESM) Large Ensemble, which has 40 realizations of past and future climate change that all undergo Antarctic sea ice retreat during recent decades. We modify CESM to replace the simulated sea ice velocity field with a satellite-derived estimate of the observed sea ice motion, and we simulate 3 realizations of recent climate change.
DOI: 10.6084/m9.figshare.12857672.v3
title: Model output for "Observed Antarctic sea ice expansion reproduced in a climate model after correcting biases in sea ice drift velocity"

description: The Antarctic sea ice area expanded significantly during 1979-2015. This is at odds with state-of-the-art climate models, which typically simulate a receding Antarctic sea ice cover in response to increasing greenhouse forcing. Here we investigate the hypothesis that this discrepancy between models and observations occurs due to simulation biases in the sea ice drift velocity. As a control we use the Community Earth System Model (CESM) Large Ensemble, which has 40 realizations of past and future climate change that all undergo Antarctic sea ice retreat during recent decades. We modify CESM to replace the simulated sea ice velocity field with a satellite-derived estimate of the observed sea ice motion, and we simulate 3 realizations of recent climate change.