cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1q7tc4
title: CSD 1586436: Experimental Crystal Structure Determination

description: Related Article: Ying-Jie Jia, Yi-Gang Chen, Ting Wang, Yao Guo, Xiao-Fang Guan, Xian-Ming Zhang|2019|Dalton Trans.|48|10320|doi:10.1039/C9DT01573F
DOI: 10.5517/ccdc.csd.cc1z3l0p
title: CSD 1820692: Experimental Crystal Structure Determination

description: Related Article: Philipp Strobel,  Robin Niklaus, Peter J. Schmidt, Wolfgang Schnick|2018|Chem.-Eur.J.|24|12678|doi:10.1002/chem.201801951
DOI: 10.5517/ccdc.csd.cc1z3l1q
title: CSD 1820693: Experimental Crystal Structure Determination

description: Related Article: Philipp Strobel,  Robin Niklaus, Peter J. Schmidt, Wolfgang Schnick|2018|Chem.-Eur.J.|24|12678|doi:10.1002/chem.201801951
DOI: 10.5517/ccdc.csd.cc1z3lth
title: CSD 1820717: Experimental Crystal Structure Determination

description: Related Article: Philipp Strobel,  Robin Niklaus, Peter J. Schmidt, Wolfgang Schnick|2018|Chem.-Eur.J.|24|12678|doi:10.1002/chem.201801951
DOI: 10.5517/ccdc.csd.cc1z4j2q
title: CSD 1821593: Experimental Crystal Structure Determination

description: Related Article: H. Okudera, Y. Sakai, K. Yamagata, H. Takeda|2018|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|74|295|doi:10.1107/S2052520618006133
description: Related Article: E.A. Ptashkina, E.G. Kabanova, A.I. Tursina, A.V. Yatsenko, V.N. Kuznetsov|2018|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|74|295|doi:10.1107/S2053229618001973
DOI: 10.5517/ccdc.csd.cc1z4j3r
title: CSD 1821594: Experimental Crystal Structure Determination

description: Related Article: H. Okudera, Y. Sakai, K. Yamagata, H. Takeda|2018|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|74|295|doi:10.1107/S2052520618006133
description: Related Article: E.A. Ptashkina, E.G. Kabanova, A.I. Tursina, A.V. Yatsenko, V.N. Kuznetsov|2018|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|74|295|doi:10.1107/S2053229618001973
DOI: 10.5517/ccdc.csd.cc1z4j4s
title: CSD 1821595: Experimental Crystal Structure Determination

description: Related Article: H. Okudera, Y. Sakai, K. Yamagata, H. Takeda|2018|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|74|295|doi:10.1107/S2052520618006133
description: Related Article: E.A. Ptashkina, E.G. Kabanova, A.I. Tursina, A.V. Yatsenko, V.N. Kuznetsov|2018|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|74|295|doi:10.1107/S2053229618001973
DOI: 10.5517/ccdc.csd.cc1z4j5t
title: CSD 1821596: Experimental Crystal Structure Determination

description: Related Article: H. Okudera, Y. Sakai, K. Yamagata, H. Takeda|2018|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|74|295|doi:10.1107/S2052520618006133
description: Related Article: E.A. Ptashkina, E.G. Kabanova, A.I. Tursina, A.V. Yatsenko, V.N. Kuznetsov|2018|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|74|295|doi:10.1107/S2053229618001973
DOI: 10.5517/ccdc.csd.cc1z4j6v
title: CSD 1821597: Experimental Crystal Structure Determination

description: Related Article: H. Okudera, Y. Sakai, K. Yamagata, H. Takeda|2018|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|74|295|doi:10.1107/S2052520618006133
description: Related Article: E.A. Ptashkina, E.G. Kabanova, A.I. Tursina, A.V. Yatsenko, V.N. Kuznetsov|2018|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|74|295|doi:10.1107/S2053229618001973
DOI: 10.5517/ccdc.csd.cc1z4j7w
title: CSD 1821598: Experimental Crystal Structure Determination

description: Related Article: H. Okudera, Y. Sakai, K. Yamagata, H. Takeda|2018|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|74|295|doi:10.1107/S2052520618006133
description: Related Article: E.A. Ptashkina, E.G. Kabanova, A.I. Tursina, A.V. Yatsenko, V.N. Kuznetsov|2018|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|74|295|doi:10.1107/S2053229618001973
DOI: 10.5517/ccdc.csd.cc1z4mqg
title: CCDC 1821706: Experimental Crystal Structure Determination

description: Related Article: Yimin Mao, Peter Y. Zavalij|2018|CSD Communication|||
description: Related Article: Y. Mao, P.Y. Zavalij|2018|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|74|1719|doi:10.1107/S2053229618015759
DOI: 10.5517/ccdc.csd.cc1zc7bx
title: CCDC 1828049: Experimental Crystal Structure Determination

description: Related Article: Xiaopeng Xuan|2018|CSD Communication|||
description: Related Article: S. Ferrandin, A.M.Z. Slawin, W.T.A. Harrison|2019|Acta Crystallogr.,Sect.E:Cryst.Commun.|75|1243|doi:10.1107/S2056989019010338
description: Related Article: J. Zhang, X. Ma, W. Kong, F. Xie, S. Yuan, X. Song, Z. Lu, X. Xuan|2019|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|75|1243|doi:10.1107/S2053229619010945
DOI: 10.5517/ccdc.csd.cc1zgg1y
title: CSD 1831140: Experimental Crystal Structure Determination

description: Related Article: Yi-Gang Chen, Meiling Xing, Yao Guo, Zheshuai Lin, Xiujun Fan, Xian-Ming Zhang|2019|Inorg.Chem.|58|2201|doi:10.1021/acs.inorgchem.8b03435
DOI: 10.5517/ccdc.csd.cc1zgg30
title: CSD 1831142: Experimental Crystal Structure Determination

description: Related Article: Yi-Gang Chen, Meiling Xing, Yao Guo, Zheshuai Lin, Xiujun Fan, Xian-Ming Zhang|2019|Inorg.Chem.|58|2201|doi:10.1021/acs.inorgchem.8b03435
DOI: 10.25505/fiz.icsd.cc1zlp19
title: CSD 1835201: Experimental Crystal Structure Determination

description: Related Article: Yaxing Wang, Yumin Wang, Xing Dai, Wei Liu, Xuemiao Yin, Long Chen, Fuwan Zhai, Juan Diwu, Chao Zhang, Ruhong Zhou, Zhifang Chai, Ning Liu, Shuao Wang|2019|Inorg.Chem.|58|2807|doi:10.1021/acs.inorgchem.8b03440
DOI: 10.25505/fiz.icsd.cc1z6g9y
title: CSD 1823460: Experimental Crystal Structure Determination

description: Related Article: Jesse A. Johnson, II, Mariya Zhuravleva, Luis Stand, Bryan C. Chakoumakos, Yuntao Wu, Ian Greely, Daniel Rutstrom, Merry Koschan, Charles L. Melcher|2018|Cryst.Growth Des.|18|5220|doi:10.1021/acs.cgd.8b00661
DOI: 10.25505/fiz.icsd.cc1z6gbz
title: CSD 1823461: Experimental Crystal Structure Determination

description: Related Article: Jesse A. Johnson, II, Mariya Zhuravleva, Luis Stand, Bryan C. Chakoumakos, Yuntao Wu, Ian Greely, Daniel Rutstrom, Merry Koschan, Charles L. Melcher|2018|Cryst.Growth Des.|18|5220|doi:10.1021/acs.cgd.8b00661
DOI: 10.25505/fiz.icsd.cc1z6gc0
title: CSD 1823462: Experimental Crystal Structure Determination

description: Related Article: Jesse A. Johnson, II, Mariya Zhuravleva, Luis Stand, Bryan C. Chakoumakos, Yuntao Wu, Ian Greely, Daniel Rutstrom, Merry Koschan, Charles L. Melcher|2018|Cryst.Growth Des.|18|5220|doi:10.1021/acs.cgd.8b00661
DOI: 10.25505/fiz.icsd.cc1z6gd1
title: CSD 1823463: Experimental Crystal Structure Determination

description: Related Article: Jesse A. Johnson, II, Mariya Zhuravleva, Luis Stand, Bryan C. Chakoumakos, Yuntao Wu, Ian Greely, Daniel Rutstrom, Merry Koschan, Charles L. Melcher|2018|Cryst.Growth Des.|18|5220|doi:10.1021/acs.cgd.8b00661
DOI: 10.25505/fiz.icsd.cc1zn63y
title: CSD 1836660: Experimental Crystal Structure Determination

description: Related Article: Jianqiao He, Yangwu Guo, Wenjuan Huang, Xian Zhang, Jiyong Yao, Tianyou Zhai, Fuqiang Huang|2018|Inorg.Chem.|57|9918|doi:10.1021/acs.inorgchem.8b01025
DOI: 10.6084/m9.figshare.16869737
title: JSS-Graph

description: dataset script
DOI: 10.6084/m9.figshare.16869737.v3
title: JSS-Graph

description: dataset script
DOI: 10.6084/m9.figshare.16869737.v2
title: JSS-Graph

description: dataset script
DOI: 10.5281/zenodo.5835163
title: Data for Universal prediction of cell cycle position using transfer learning

description: The repo contains the data for Universal prediction of cell cycle position using transfer learning (https://www.biorxiv.org/content/10.1101/2021.04.06.438463v2). The scripts to analyze and generate all figures could be found at https://github.com/hansenlab/tricycle_paper_figs v1.1 update: add neurosphere_scvelo.qs - an R SingleCellExperiment object saved as qs file that has spliced counts, unspliced counts, and all outputs from scvelo.
description: Uncompress plotdata.tar.gz to a folder named plotdata and feta.tar.gz(xx) to a folder named fetal.
DOI: 10.5281/zenodo.5519840
title: Data for Universal prediction of cell cycle position using transfer learning

description: The repo contains the data for Universal prediction of cell cycle position using transfer learning (https://www.biorxiv.org/content/10.1101/2021.04.06.438463v2). The scripts to analyze and generate all figures could be found at https://github.com/hansenlab/tricycle_paper_figs v1.1 update: add neurosphere_scvelo.qs - an R SingleCellExperiment object saved as qs file that has spliced counts, unspliced counts, and all outputs from scvelo.
description: Uncompress plotdata.tar.gz to a folder named plotdata and feta.tar.gz(xx) to a folder named fetal.
DOI: 10.3886/e113598v1-106460
title: Replication data for: The Long-Run Effects of Attending an Elite School: Evidence from the United Kingdom

description: This paper estimates the impact of elite school attendance on long-run outcomes including completed education, income, and fertility. Our data consist of individuals born in the 1950s and educated in a UK district that assigned students to either elite or non-elite secondary schools. Using instrumental variables methods that exploit the school assignment formula, we find that elite school attendance had large impacts on completed education. Surprisingly, there are no significant effects on most labor market outcomes except for an increase in female income. By contrast, we document a large and significant negative impact on female fertility. (JEL I21, I24, I26, J13, J16, J24, J31)
description: Individuals in the "Aberdeen Birth Cohorts" (also known as "Children of the 1950s").
DOI: 10.5281/zenodo.5835212
title: SOFIA Recipe example data

description: Example data for basic inspection and analysis of SOFIA data. Includes data for multiple instruments.
DOI: 10.6084/m9.figshare.17304599
title: FinalAnalyses.zip

description: Meta-analysis dataset on how fluctuating temperatures effect reptile development in comparison to constant temperatures
DOI: 10.5281/zenodo.5164127
title: Uncovering structural ensembles from single particle cryo-EM data using cryoDRGN | Software, datasets, and results

description: Software, datasets, and results referenced in "Uncovering structural ensembles from single particle cryo-EM data using cryoDRGN"
DOI: 10.5281/zenodo.5164126
title: Uncovering structural ensembles from single particle cryo-EM data using cryoDRGN | Software, datasets, and results

description: Software, datasets, and results referenced in "Uncovering structural ensembles from single particle cryo-EM data using cryoDRGN"
DOI: 10.5517/cc6nyd5
title: CCDC 198877: Experimental Crystal Structure Determination

description: Related Article: M.G.S.Londesborough, E.J.MacLean, S.J.Teat, J.Bould, C.A.Kilner, M.Thornton-Pett, J.D.Kennedy|2003|Conference|||
description: Related Article: Michael G. S. Londesborough, Ramón Macías, John D. Kennedy, William Clegg, Jonathan Bould|2019|Inorg.Chem.|58|13258|doi:10.1021/acs.inorgchem.9b02116
DOI: 10.6084/m9.figshare.17111075.v1
title: Supplementary Tables of Protein-Energy Nutritional Status of Moderately Low Protein Intakes-Sago Diet Compared to Sufficient Protein Intakes-Rice Diet of Lowlanders in Papua, Indonesia

description: It is supplemental data of example of menus of rice and sago eating people, iron intake and correlation of albumin, MCV, visceral fat and BMR of the sago group
DOI: 10.6084/m9.figshare.17111075.v2
title: Supplementary Tables of Protein-Energy Nutritional Status of Moderately Low Protein Intakes-Sago Diet Compared to Sufficient Protein Intakes-Rice Diet of Lowlanders in Papua, Indonesia

description: It is supplemental data of example of menus of rice and sago eating people, iron intake and correlation of albumin, MCV, visceral fat and BMR of the sago group
DOI: 10.6084/m9.figshare.18131495
title: Salminus_brasiliensis_Assembly_k47.fasta

description: First de novo genome assembly for S. brasiliensis with N50 value of 10,889 and GC content of 41.25%. The k=47 assembly has 560,090 contigs or scaffolds ranging from 100 to 134,135 bases (average of 1,643).<br>
DOI: 10.6084/m9.figshare.18131495.v1
title: Salminus_brasiliensis_Assembly_k47.fasta

description: First de novo genome assembly for S. brasiliensis with N50 value of 10,889 and GC content of 41.25%. The k=47 assembly has 560,090 contigs or scaffolds ranging from 100 to 134,135 bases (average of 1,643).<br>
DOI: 10.21227/6brr-tb53
title: SKY-Scene

description: A synthetic scene-level sketch dataset for sketch semantic segmentation task. The scene layout templates were extracted from dataset SketchyScene, and the object components were adopted from dataset Sketchy.
DOI: 10.5281/zenodo.5834954
title: TinyMT pre-calculated parameter list

description: This archive contains TinyMT pseudo random number generated parameters, computed by tinymt32dc and tinymt64dc programs, where the first 1048576 keys for the 256 sets of id=0~255. The original GitHub archive is at https://github.com/jj1bdx/tinymtdc-longbatch. In this archive, the dataset is split into two parts for the tinymt32dc and tinymt64dc parameters. SHA512 checksums of each parameter files are added for the ease of verification. Kenji Rikitake has verified the contents in this archive and the GitHub archive have the same parameter contents. See TinyMT web page for the further details of the random number generation algorithm. Contributions, affiliations, and acknowledgments: Mutsuo Saito and Makoto Matsumoto are the creators of TinyMT algorithm. Kenji Rikitake contributed by conducting the parameter generation. The affiliation of Mutsuo Saito and Makoto Matsumoto in this archive are the ones in 2011, when TinyMT was first published. Kenji Rikitake's affiliation is as of January 2022. Rikitake's organizational affiliation in 2011 was with Kyoto University. Kenji Rikitake used the supercomputer service provided by Academic Center for Computing and Media Studies (ACCMS), Kyoto University, Japan, for generating the TinyMT generation parameters included in this archive, during November to December 2011 with the ACCMS <em>laurel</em> cluster. The computation of the entire archive took ~32 days.
DOI: 10.6084/m9.figshare.17903738.v1
title: In-situ Transfer Vat Photopolymerization for Transparent Microfluidic Device Fabrication

description: Data is formatted as per Nature Communications requirements, i.e., a single Microsoft Excel file with data for each figure in individual sheets.
DOI: 10.5281/zenodo.5834953
title: TinyMT pre-calculated parameter list

description: This archive contains TinyMT pseudo random number generated parameters, computed by tinymt32dc and tinymt64dc programs, where the first 1048576 keys for the 256 sets of id=0~255. The original GitHub archive is at https://github.com/jj1bdx/tinymtdc-longbatch. In this archive, the dataset is split into two parts for the tinymt32dc and tinymt64dc parameters. SHA512 checksums of each parameter files are added for the ease of verification. Kenji Rikitake has verified the contents in this archive and the GitHub archive have the same parameter contents. See TinyMT web page for the further details of the random number generation algorithm. Contributions, affiliations, and acknowledgments: Mutsuo Saito and Makoto Matsumoto are the creators of TinyMT algorithm. Kenji Rikitake contributed by conducting the parameter generation. The affiliation of Mutsuo Saito and Makoto Matsumoto in this archive are the ones in 2011, when TinyMT was first published. Kenji Rikitake's affiliation is as of January 2022. Rikitake's organizational affiliation in 2011 was with Kyoto University. Kenji Rikitake used the supercomputer service provided by Academic Center for Computing and Media Studies (ACCMS), Kyoto University, Japan, for generating the TinyMT generation parameters included in this archive, during November to December 2011 with the ACCMS <em>laurel</em> cluster. The computation of the entire archive took ~32 days.
DOI: 10.6084/m9.figshare.18132008
title: Participant Reading Data.xlsx

description: Individual data for each participant in Reading Study.
DOI: 10.6084/m9.figshare.18132035
title: Tobii Data Reading & Questions.docx

description: Global eye-tracking measures from Tobii Studio.
DOI: 10.21227/d25d-8k98
title: TUB-Scene

description: A synthetic scene-level sketch dataset for sketch semantic segmentation task. The scene layout templates were extracted from dataset SketchyScene, and the object components were adopted from dataset TU-Berlin.
DOI: 10.6084/m9.figshare.18132190
title: Additional file 1 of Open-access database of literature derived drug-related Torsade de Pointes cases

description: Additional file 1: Excel file S1. An Excel file of the database of the literature-derived drug-related Torsade de Pointes cases.
DOI: 10.6084/m9.figshare.18132217
title: Additional file 4 of Temporal transcriptomic changes in long non-coding RNAs and messenger RNAs involved in the host immune and metabolic response during Toxoplasma gondii lytic cycle

description: Additional file 4: Table S1. List of all differentially expressed messenger RNAs (DEmRNAs).
DOI: 10.6084/m9.figshare.18132217.v1
title: Additional file 4 of Temporal transcriptomic changes in long non-coding RNAs and messenger RNAs involved in the host immune and metabolic response during Toxoplasma gondii lytic cycle

description: Additional file 4: Table S1. List of all differentially expressed messenger RNAs (DEmRNAs).
DOI: 10.6084/m9.figshare.18132220
title: Additional file 5 of Temporal transcriptomic changes in long non-coding RNAs and messenger RNAs involved in the host immune and metabolic response during Toxoplasma gondii lytic cycle

description: Additional file 5: Table S2. List of all differentially expressed long non-coding RNAs (DElncRNAs).
DOI: 10.6084/m9.figshare.18132220.v1
title: Additional file 5 of Temporal transcriptomic changes in long non-coding RNAs and messenger RNAs involved in the host immune and metabolic response during Toxoplasma gondii lytic cycle

description: Additional file 5: Table S2. List of all differentially expressed long non-coding RNAs (DElncRNAs).
DOI: 10.6084/m9.figshare.18132223
title: Additional file 6 of Temporal transcriptomic changes in long non-coding RNAs and messenger RNAs involved in the host immune and metabolic response during Toxoplasma gondii lytic cycle

description: Additional file 6: Table S3. List of co-expressed differentially expressed messenger RNAs (DEmRNAs).
DOI: 10.6084/m9.figshare.18132223.v1
title: Additional file 6 of Temporal transcriptomic changes in long non-coding RNAs and messenger RNAs involved in the host immune and metabolic response during Toxoplasma gondii lytic cycle

description: Additional file 6: Table S3. List of co-expressed differentially expressed messenger RNAs (DEmRNAs).
DOI: 10.6084/m9.figshare.18132226
title: Additional file 7 of Temporal transcriptomic changes in long non-coding RNAs and messenger RNAs involved in the host immune and metabolic response during Toxoplasma gondii lytic cycle

description: Additional file 7: Table S4. List of co-expressed differentially expressed long non-coding RNA (DElncRNAs).
DOI: 10.6084/m9.figshare.18132226.v1
title: Additional file 7 of Temporal transcriptomic changes in long non-coding RNAs and messenger RNAs involved in the host immune and metabolic response during Toxoplasma gondii lytic cycle

description: Additional file 7: Table S4. List of co-expressed differentially expressed long non-coding RNA (DElncRNAs).
DOI: 10.6084/m9.figshare.18132238
title: Additional file 1 of Brazilian private health system: history, scenarios, and trends

description: Additional file 1.
DOI: 10.6084/m9.figshare.18132238.v1
title: Additional file 1 of Brazilian private health system: history, scenarios, and trends

description: Additional file 1.
DOI: 10.6084/m9.figshare.18132253
title: Additional file 2 of Patient-derived xenograft models capture genomic heterogeneity in endometrial cancer

description: Additional file 2: Supplementary Tables 4, 6-8 (descriptions provided in the file).
DOI: 10.6084/m9.figshare.18132253.v1
title: Additional file 2 of Patient-derived xenograft models capture genomic heterogeneity in endometrial cancer

description: Additional file 2: Supplementary Tables 4, 6-8 (descriptions provided in the file).
DOI: 10.6084/m9.figshare.18132339
title: Additional file 1 of Pleomorphic xanthoastrocytoma is a heterogeneous entity with pTERT mutations prognosticating shorter survival

description: Additional file 1. List of tumors in cohort histPXA including 144 tumors.
DOI: 10.6084/m9.figshare.18132339.v1
title: Additional file 1 of Pleomorphic xanthoastrocytoma is a heterogeneous entity with pTERT mutations prognosticating shorter survival

description: Additional file 1. List of tumors in cohort histPXA including 144 tumors.
DOI: 10.6084/m9.figshare.18132342
title: Additional file 2 of Pleomorphic xanthoastrocytoma is a heterogeneous entity with pTERT mutations prognosticating shorter survival

description: Additional file 2. List of tumors in cohort mcPXA including 220 tumors.
DOI: 10.6084/m9.figshare.18132342.v1
title: Additional file 2 of Pleomorphic xanthoastrocytoma is a heterogeneous entity with pTERT mutations prognosticating shorter survival

description: Additional file 2. List of tumors in cohort mcPXA including 220 tumors.
DOI: 10.6084/m9.figshare.18132363
title: Additional file 1 of GRAde: a long-read sequencing approach to efficiently identifying the CYP11B1/CYP11B2 chimeric form in patients with glucocorticoid-remediable aldosteronism

description: Additional file 1: Nucleotides that differed between CYP11B1 and CYP11B2.
DOI: 10.6084/m9.figshare.18132363.v1
title: Additional file 1 of GRAde: a long-read sequencing approach to efficiently identifying the CYP11B1/CYP11B2 chimeric form in patients with glucocorticoid-remediable aldosteronism

description: Additional file 1: Nucleotides that differed between CYP11B1 and CYP11B2.
DOI: 10.6084/m9.figshare.18132367
title: Additional file 2 of RNA binding protein HuD promotes autophagy and tumor stress survival by suppressing mTORC1 activity and augmenting ARL6IP1 levels

description: Additional file 2. Dataset S1_RIP SEQ full serum condition.
DOI: 10.6084/m9.figshare.18132367.v1
title: Additional file 2 of RNA binding protein HuD promotes autophagy and tumor stress survival by suppressing mTORC1 activity and augmenting ARL6IP1 levels

description: Additional file 2. Dataset S1_RIP SEQ full serum condition.
DOI: 10.6084/m9.figshare.18132370
title: Additional file 3 of RNA binding protein HuD promotes autophagy and tumor stress survival by suppressing mTORC1 activity and augmenting ARL6IP1 levels

description: Additional file 3. Dataset S2_RIP SEQ serum starvation.
DOI: 10.6084/m9.figshare.18132370.v1
title: Additional file 3 of RNA binding protein HuD promotes autophagy and tumor stress survival by suppressing mTORC1 activity and augmenting ARL6IP1 levels

description: Additional file 3. Dataset S2_RIP SEQ serum starvation.
DOI: 10.6084/m9.figshare.18132373
title: Additional file 4 of RNA binding protein HuD promotes autophagy and tumor stress survival by suppressing mTORC1 activity and augmenting ARL6IP1 levels

description: Additional file 4. Dataset S3_RNA SEQ HuD shRNA.
DOI: 10.6084/m9.figshare.18132373.v1
title: Additional file 4 of RNA binding protein HuD promotes autophagy and tumor stress survival by suppressing mTORC1 activity and augmenting ARL6IP1 levels

description: Additional file 4. Dataset S3_RNA SEQ HuD shRNA.
DOI: 10.21227/s96t-m389
title: Freehand-Scene

description: Fifty human-drawn scene sketches with semantic annotation.
DOI: 10.6084/m9.figshare.18132436
title: Additional file 1 of Consistent changes in the intestinal microbiota of Atlantic salmon fed insect meal diets

description: Additional file 1. Table S1: Contaminating ASVs removed from the feature table. The primary contaminating ASVs were classified as Pseudomonas, Halomonas, Shewanella algae, Undibacterium, Bradyrhizobium, Ralstonia, Chitinophagaceae, Sediminibacterium, Curvibacter, Afipia, and Cutibacterium.