cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2725h0
title: CCDC 2057671: Experimental Crystal Structure Determination

description: Related Article: Xinyuan Wang, Lei Wang, Changlin Yao, Guanying Xie, Shuhong Song, Huimin Li, Yaqian Qu, Xutang Tao|2021|Cryst.Growth Des.|21|3807|doi:10.1021/acs.cgd.1c00150
DOI: 10.5517/ccdc.csd.cc2725m4
title: CCDC 2057675: Experimental Crystal Structure Determination

description: Related Article: Xinyuan Wang, Lei Wang, Changlin Yao, Guanying Xie, Shuhong Song, Huimin Li, Yaqian Qu, Xutang Tao|2021|Cryst.Growth Des.|21|3807|doi:10.1021/acs.cgd.1c00150
DOI: 10.5517/ccdc.csd.cc2725q7
title: CCDC 2057678: Experimental Crystal Structure Determination

description: Related Article: Xinyuan Wang, Lei Wang, Changlin Yao, Guanying Xie, Shuhong Song, Huimin Li, Yaqian Qu, Xutang Tao|2021|Cryst.Growth Des.|21|3807|doi:10.1021/acs.cgd.1c00150
DOI: 10.5517/ccdc.csd.cc2778xp
title: CCDC 2062582: Experimental Crystal Structure Determination

description: Related Article: Kalpita Baruah, Biswajit Sahariah, Sushil S. Sakpal, Jugal Kishore Rai Deka, Arun Kumar Bar, Sayan Bagchi, Bani Kanta Sarma|2021|Org.Lett.|23|4949|doi:10.1021/acs.orglett.1c01111
DOI: 10.5517/ccdc.csd.cc2778yq
title: CCDC 2062583: Experimental Crystal Structure Determination

description: Related Article: Kalpita Baruah, Biswajit Sahariah, Sushil S. Sakpal, Jugal Kishore Rai Deka, Arun Kumar Bar, Sayan Bagchi, Bani Kanta Sarma|2021|Org.Lett.|23|4949|doi:10.1021/acs.orglett.1c01111
DOI: 10.5517/ccdc.csd.cc2778rj
title: CCDC 2062577: Experimental Crystal Structure Determination

description: Related Article: Kalpita Baruah, Biswajit Sahariah, Sushil S. Sakpal, Jugal Kishore Rai Deka, Arun Kumar Bar, Sayan Bagchi, Bani Kanta Sarma|2021|Org.Lett.|23|4949|doi:10.1021/acs.orglett.1c01111
DOI: 10.5517/ccdc.csd.cc27lh8m
title: CCDC 2073350: Experimental Crystal Structure Determination

description: Related Article: Yu Yang, Hana Ikedo, Hongyi Huang, Isao Yoshikawa, Hirohiko Houjou|2021|Cryst.Growth Des.|21|4121|doi:10.1021/acs.cgd.1c00408
DOI: 10.5517/ccdc.csd.cc27lh9n
title: CCDC 2073351: Experimental Crystal Structure Determination

description: Related Article: Yu Yang, Hana Ikedo, Hongyi Huang, Isao Yoshikawa, Hirohiko Houjou|2021|Cryst.Growth Des.|21|4121|doi:10.1021/acs.cgd.1c00408
DOI: 10.5517/ccdc.csd.cc27lhbp
title: CCDC 2073352: Experimental Crystal Structure Determination

description: Related Article: Yu Yang, Hana Ikedo, Hongyi Huang, Isao Yoshikawa, Hirohiko Houjou|2021|Cryst.Growth Des.|21|4121|doi:10.1021/acs.cgd.1c00408
DOI: 10.5517/ccdc.csd.cc27lhcq
title: CCDC 2073353: Experimental Crystal Structure Determination

description: Related Article: Yu Yang, Hana Ikedo, Hongyi Huang, Isao Yoshikawa, Hirohiko Houjou|2021|Cryst.Growth Des.|21|4121|doi:10.1021/acs.cgd.1c00408
DOI: 10.5517/ccdc.csd.cc27lhdr
title: CCDC 2073354: Experimental Crystal Structure Determination

description: Related Article: Yu Yang, Hana Ikedo, Hongyi Huang, Isao Yoshikawa, Hirohiko Houjou|2021|Cryst.Growth Des.|21|4121|doi:10.1021/acs.cgd.1c00408
DOI: 10.5517/ccdc.csd.cc27lhfs
title: CCDC 2073355: Experimental Crystal Structure Determination

description: Related Article: Yu Yang, Hana Ikedo, Hongyi Huang, Isao Yoshikawa, Hirohiko Houjou|2021|Cryst.Growth Des.|21|4121|doi:10.1021/acs.cgd.1c00408
DOI: 10.5517/ccdc.csd.cc27lhgt
title: CCDC 2073356: Experimental Crystal Structure Determination

description: Related Article: Yu Yang, Hana Ikedo, Hongyi Huang, Isao Yoshikawa, Hirohiko Houjou|2021|Cryst.Growth Des.|21|4121|doi:10.1021/acs.cgd.1c00408
DOI: 10.5517/ccdc.csd.cc27lhhv
title: CCDC 2073357: Experimental Crystal Structure Determination

description: Related Article: Yu Yang, Hana Ikedo, Hongyi Huang, Isao Yoshikawa, Hirohiko Houjou|2021|Cryst.Growth Des.|21|4121|doi:10.1021/acs.cgd.1c00408
DOI: 10.5517/ccdc.csd.cc27lhjw
title: CCDC 2073358: Experimental Crystal Structure Determination

description: Related Article: Yu Yang, Hana Ikedo, Hongyi Huang, Isao Yoshikawa, Hirohiko Houjou|2021|Cryst.Growth Des.|21|4121|doi:10.1021/acs.cgd.1c00408
DOI: 10.6084/m9.figshare.14999286
title: PNAS 原始数据.xlsx

description: These are original data for paper titled "A GRIP-1–EZH2 switch binding to GATA-4 is linked to the genesis of rhabdomyosarcoma through miR-29a".
DOI: 10.6084/m9.figshare.14999286.v1
title: PNAS 原始数据.xlsx

description: These are original data for paper titled "A GRIP-1–EZH2 switch binding to GATA-4 is linked to the genesis of rhabdomyosarcoma through miR-29a".
DOI: 10.6084/m9.figshare.14994555.v2
title: Design Drawing, Optimisation, Modification and Data Collection for the Automated Multi-Spit Lamb Rotisserie Machine

description: Innovations in food manufacturing support the United Nation’s agenda for Sustainable Development Goal 9 which promotes industry, innovation and infrastructure. In line with this goal, this study aims to develop an inventive automated multi-spit lamb rotisserie machine that improves the productivity of lamb-roasting compared to contemporary lamb-roasting devices, for small and medium scale lamb-roasting businesses. The conceptualisation of this study relied on patents, scholarly literature and product reviews of available lamb-roasting devices. An improved design concept is selected using screening and scoring techniques. The design and analysis are performed using the Autodesk Inventor Professional 2019. A scaled-down version of the design is fabricated and tested with several usability tests, namely the (1) roasting output test, (2) roasting time test and (3) temperature stability test. The data collected for experiments (1) are analysed descriptively by comparing the means between the control and experimental groups. The data for experiments (2) and (3) are analysed using t-test and Mann-Whitney U test respectively. Significant differences are observed in the usability tests of (1) and (2), with the outcomes being in favour of the proposed invention. The proposed invention is able to cook 92.27% faster with 700% more meat than a regular lamb rotisserie machine used in small and medium enterprises (SMEs). No significant difference is found in temperature stability, indicating that the proposed invention cooks at a stable temperature. A brief cost analysis indicated that this invention can be sold at 1280 MYR if it is mass-produced. This invention could potentially help SMEs in increasing the productivity of their lamb-roasting business. The design of this invention is structurally simple, inexpensive and easy to manufacture and deploy. These advantages allow communities that rely on traditional spit-based machines as primary tools for meat preparation to enhance their ability and productivity in producing roast lamb.
DOI: 10.34740/kaggle/dsv/2434534
title: COVID Vaccination in World (updated daily)
DOI: 10.25646/8814
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.5281/zenodo.4717583
title: The dataset of the paper titled "Context-Aware Code Change Embedding for Better Patch Correctness Assessment"

description: The dataset of the paper titled "Context-Aware Code Change Embedding for Better Patch Correctness Assessment". This is the online repository of the paper "Context-Aware Code Change Embedding for Better Patch Correctness Assessment". We release the source code of Cache, the patches used in our evaluation, as well as the experiment results. Patches: Two patch benchmarks included in our study. Small: The 1,183 deduplicated patches from Tian's ASE20 paper and Wang's ASE20 paper. Large: The patches collected by ourselves, which is consist of totally 49,694 patches from RepairThemAll and ManySStuBs. Results RQ1: The detailed result files in RQ1, which are named by the format of <em><code>[model]_[classifier].csv</code></em>. For example, the file named <em><code>BERT_DT.csv</code></em> in the folder <em><code>Small</code></em> means that this file is the result of patches from <strong>Small</strong> dataset embedded by <strong>BERT</strong> and classified by <strong>Decision Tree</strong>. Small: The detailed result files on Small dataset. Large: The detailed result files on Large dataset. Cross: The detailed result files of representation learning techniques when training on Large dataset and testing on Small dataset. RQ2: The detailed result files in RQ2. Wang_Cache.csv: The detailed result of Cache on the dataset from Wang's ASE20 paper. ODS_Cache.csv: The datailed result of Cache on the dataset from Xiong's ICSE18 paper. We directly compare against the results reported by the authors of ODS on 139 patches from Xiong's paper since the data and source code of ODS is unavailable. Table_5_Effectiveness_APCA.xlsx: The detailed version of <strong>Table 5</strong> in the paper. Table_6_Effectiveness_ODS.xlsx: The detailed version of <strong>Table 6</strong> in the paper. Source: The source code and lib for running Cache. Guidance for replicating our study is available at <em><code>source/Readme.md</code></em>. We will build a homepage for Cache on GitHub upon acceptance.
DOI: 10.5281/zenodo.4717348
title: The dataset of the paper titled "Context-Aware Code Change Embedding for Better Patch Correctness Assessment"

description: The dataset of the paper titled "Context-Aware Code Change Embedding for Better Patch Correctness Assessment". This is the online repository of the paper "Context-Aware Code Change Embedding for Better Patch Correctness Assessment". We release the source code of Cache, the patches used in our evaluation, as well as the experiment results. Patches: Two patch benchmarks included in our study. Small: The 1,183 deduplicated patches from Tian's ASE20 paper and Wang's ASE20 paper. Large: The patches collected by ourselves, which is consist of totally 49,694 patches from RepairThemAll and ManySStuBs. Results RQ1: The detailed result files in RQ1, which are named by the format of <em><code>[model]_[classifier].csv</code></em>. For example, the file named <em><code>BERT_DT.csv</code></em> in the folder <em><code>Small</code></em> means that this file is the result of patches from <strong>Small</strong> dataset embedded by <strong>BERT</strong> and classified by <strong>Decision Tree</strong>. Small: The detailed result files on Small dataset. Large: The detailed result files on Large dataset. Cross: The detailed result files of representation learning techniques when training on Large dataset and testing on Small dataset. RQ2: The detailed result files in RQ2. Wang_Cache.csv: The detailed result of Cache on the dataset from Wang's ASE20 paper. ODS_Cache.csv: The datailed result of Cache on the dataset from Xiong's ICSE18 paper. We directly compare against the results reported by the authors of ODS on 139 patches from Xiong's paper since the data and source code of ODS is unavailable. Table_5_Effectiveness_APCA.xlsx: The detailed version of <strong>Table 5</strong> in the paper. Table_6_Effectiveness_ODS.xlsx: The detailed version of <strong>Table 6</strong> in the paper. Source: The source code and lib for running Cache. Guidance for replicating our study is available at <em><code>source/Readme.md</code></em>. We will build a homepage for Cache on GitHub upon acceptance.
DOI: 10.6084/m9.figshare.14991567
title: DataSets for Estimation of Gaussian noise in spectra by the selective polynomial fit

description: DataSets for figures of article "Estimation of Gaussian noise in spectra by the selective polynomial fit"
DOI: 10.6084/m9.figshare.14991567.v1
title: DataSets for Estimation of Gaussian noise in spectra by the selective polynomial fit

description: DataSets for figures of article "Estimation of Gaussian noise in spectra by the selective polynomial fit"
DOI: 10.6084/m9.figshare.14999463
title: carclaims.csv

description: 67856 insurance policies and 4624 (6.8%) claims in Australia between 2004 and 2005.
DOI: 10.6084/m9.figshare.14999466
title: Eugene-Springfield community sample

description: A longitudinal study of hundreds of adults who completed dozens of different self-report and behavioral measures over the course of 15 years. Among the behavioral measures is an index of illegal drug use.
DOI: 10.5517/ccdc.csd.cc27q4hm
title: CCDC 2076860: Experimental Crystal Structure Determination

description: Related Article: Marina S. Fonari, Victor Ch. Kravtsov, Victor Bold, Elena Lucenti, Elena Cariati, Daniele Marinotto, Alessandra Forni|2021|Cryst.Growth Des.|21|4184|doi:10.1021/acs.cgd.1c00459
DOI: 10.5517/ccdc.csd.cc27q4jn
title: CCDC 2076861: Experimental Crystal Structure Determination

description: Related Article: Marina S. Fonari, Victor Ch. Kravtsov, Victor Bold, Elena Lucenti, Elena Cariati, Daniele Marinotto, Alessandra Forni|2021|Cryst.Growth Des.|21|4184|doi:10.1021/acs.cgd.1c00459
DOI: 10.5517/ccdc.csd.cc27q4kp
title: CCDC 2076862: Experimental Crystal Structure Determination

description: Related Article: Marina S. Fonari, Victor Ch. Kravtsov, Victor Bold, Elena Lucenti, Elena Cariati, Daniele Marinotto, Alessandra Forni|2021|Cryst.Growth Des.|21|4184|doi:10.1021/acs.cgd.1c00459
DOI: 10.5517/ccdc.csd.cc27q4lq
title: CCDC 2076863: Experimental Crystal Structure Determination

description: Related Article: Marina S. Fonari, Victor Ch. Kravtsov, Victor Bold, Elena Lucenti, Elena Cariati, Daniele Marinotto, Alessandra Forni|2021|Cryst.Growth Des.|21|4184|doi:10.1021/acs.cgd.1c00459
DOI: 10.5517/ccdc.csd.cc27q4mr
title: CCDC 2076864: Experimental Crystal Structure Determination

description: Related Article: Marina S. Fonari, Victor Ch. Kravtsov, Victor Bold, Elena Lucenti, Elena Cariati, Daniele Marinotto, Alessandra Forni|2021|Cryst.Growth Des.|21|4184|doi:10.1021/acs.cgd.1c00459
DOI: 10.5517/ccdc.csd.cc27q4ns
title: CCDC 2076865: Experimental Crystal Structure Determination

description: Related Article: Marina S. Fonari, Victor Ch. Kravtsov, Victor Bold, Elena Lucenti, Elena Cariati, Daniele Marinotto, Alessandra Forni|2021|Cryst.Growth Des.|21|4184|doi:10.1021/acs.cgd.1c00459
DOI: 10.5517/ccdc.csd.cc27q4pt
title: CCDC 2076866: Experimental Crystal Structure Determination

description: Related Article: Marina S. Fonari, Victor Ch. Kravtsov, Victor Bold, Elena Lucenti, Elena Cariati, Daniele Marinotto, Alessandra Forni|2021|Cryst.Growth Des.|21|4184|doi:10.1021/acs.cgd.1c00459
DOI: 10.5517/ccdc.csd.cc27q4qv
title: CCDC 2076867: Experimental Crystal Structure Determination

description: Related Article: Marina S. Fonari, Victor Ch. Kravtsov, Victor Bold, Elena Lucenti, Elena Cariati, Daniele Marinotto, Alessandra Forni|2021|Cryst.Growth Des.|21|4184|doi:10.1021/acs.cgd.1c00459
DOI: 10.5517/ccdc.csd.cc27q4rw
title: CCDC 2076868: Experimental Crystal Structure Determination

description: Related Article: Marina S. Fonari, Victor Ch. Kravtsov, Victor Bold, Elena Lucenti, Elena Cariati, Daniele Marinotto, Alessandra Forni|2021|Cryst.Growth Des.|21|4184|doi:10.1021/acs.cgd.1c00459
DOI: 10.5517/ccdc.csd.cc27q4sx
title: CCDC 2076869: Experimental Crystal Structure Determination

description: Related Article: Marina S. Fonari, Victor Ch. Kravtsov, Victor Bold, Elena Lucenti, Elena Cariati, Daniele Marinotto, Alessandra Forni|2021|Cryst.Growth Des.|21|4184|doi:10.1021/acs.cgd.1c00459
DOI: 10.5517/ccdc.csd.cc27q4ty
title: CCDC 2076870: Experimental Crystal Structure Determination

description: Related Article: Marina S. Fonari, Victor Ch. Kravtsov, Victor Bold, Elena Lucenti, Elena Cariati, Daniele Marinotto, Alessandra Forni|2021|Cryst.Growth Des.|21|4184|doi:10.1021/acs.cgd.1c00459
DOI: 10.5517/ccdc.csd.cc27q4vz
title: CCDC 2076871: Experimental Crystal Structure Determination

description: Related Article: Marina S. Fonari, Victor Ch. Kravtsov, Victor Bold, Elena Lucenti, Elena Cariati, Daniele Marinotto, Alessandra Forni|2021|Cryst.Growth Des.|21|4184|doi:10.1021/acs.cgd.1c00459
DOI: 10.5517/ccdc.csd.cc27q4fk
title: CCDC 2076858: Experimental Crystal Structure Determination

description: Related Article: Marina S. Fonari, Victor Ch. Kravtsov, Victor Bold, Elena Lucenti, Elena Cariati, Daniele Marinotto, Alessandra Forni|2021|Cryst.Growth Des.|21|4184|doi:10.1021/acs.cgd.1c00459
DOI: 10.5517/ccdc.csd.cc27q4gl
title: CCDC 2076859: Experimental Crystal Structure Determination

description: Related Article: Marina S. Fonari, Victor Ch. Kravtsov, Victor Bold, Elena Lucenti, Elena Cariati, Daniele Marinotto, Alessandra Forni|2021|Cryst.Growth Des.|21|4184|doi:10.1021/acs.cgd.1c00459
DOI: 10.5517/ccdc.csd.cc27w0w1
title: CCDC 2081553: Experimental Crystal Structure Determination

description: Related Article: Sima Alavi, Jian-Bin Lin, Huck K. Grover|2021|Org.Lett.|23|5559|doi:10.1021/acs.orglett.1c01965
DOI: 10.5517/ccdc.csd.cc27w0x2
title: CCDC 2081554: Experimental Crystal Structure Determination

description: Related Article: Sima Alavi, Jian-Bin Lin, Huck K. Grover|2021|Org.Lett.|23|5559|doi:10.1021/acs.orglett.1c01965
DOI: 10.5517/ccdc.csd.cc27wkj7
title: CCDC 2082069: Experimental Crystal Structure Determination

description: Related Article: Shibo Xu, Koji Hirano, Masahiro Miura|2021|Org.Lett.|23|5471|doi:10.1021/acs.orglett.1c01821
DOI: 10.5517/ccdc.csd.cc27x06d
title: CCDC 2082493: Experimental Crystal Structure Determination

description: Related Article: Xingrong Liao, Fulin Zhou, Zhengyang Bin, Yudong Yang, Jingsong You|2021|Org.Lett.|23|5203|doi:10.1021/acs.orglett.1c01736
DOI: 10.5517/ccdc.csd.cc27xg3r
title: CCDC 2082924: Experimental Crystal Structure Determination

description: Related Article: Chen Yan, Jing Sun, Ying Han, Chao-Guo Yan|2021|J.Org.Chem.|86|9263|doi:10.1021/acs.joc.1c00044
DOI: 10.5517/ccdc.csd.cc27xg4s
title: CCDC 2082925: Experimental Crystal Structure Determination

description: Related Article: Chen Yan, Jing Sun, Ying Han, Chao-Guo Yan|2021|J.Org.Chem.|86|9263|doi:10.1021/acs.joc.1c00044
DOI: 10.5517/ccdc.csd.cc27xg5t
title: CCDC 2082926: Experimental Crystal Structure Determination

description: Related Article: Chen Yan, Jing Sun, Ying Han, Chao-Guo Yan|2021|J.Org.Chem.|86|9263|doi:10.1021/acs.joc.1c00044
DOI: 10.5517/ccdc.csd.cc26y0z5
title: CCDC 2053687: Experimental Crystal Structure Determination

description: Related Article: Jie Li, Jiachen jiao, Jiangnan Chang, Mingxue Li, Qiuxia Han|2021|Inorg.Chem.|60|10022|doi:10.1021/acs.inorgchem.1c01311
DOI: 10.6084/m9.figshare.14999469
title: American National Election Studies 2016 Pilot Study

description: The ANES is a nationally representative, cross-sectional survey used extensively in political science. This is a dataset from the 2016 pilot study, consisting of responses from 1200 voting-age U.S. citizens.
DOI: 10.6084/m9.figshare.14999469.v1
title: American National Election Studies 2016 Pilot Study

description: The ANES is a nationally representative, cross-sectional survey used extensively in political science. This is a dataset from the 2016 pilot study, consisting of responses from 1200 voting-age U.S. citizens.
DOI: 10.6084/m9.figshare.14999472
title: Magnon theory data

description: In this work, we treat magnon dispersion in ferrimagnetic insulator and magnon scattering heuristically to drive the thermal-driven magnon current via semi-classical Boltzmann approach. We find that the temperature-dependent longitudinal SSE is dominated by magnon-phonon scattering at low temperature region, rather than magnon-magnon scattering. The relaxation time of magnon-phonon scattering follows <i>T <sup>-3.3 </sup></i> dependence. At very low temperature region, the magnon enters the ballistic transport process, the temperature dependence of the relaxation time is <i>T <sup>-1/2 </sup></i>. This model fits well with the experiment data. In addition, we have also derived equations that explains the position dependence of SSE with in-plan temperature gradient. The transverse distribution of the magnon temperature corresponding to the number of magnons is consistent with the experimental measurement, and the linear spatial distribution of the transverse SSE signal with position is given.
DOI: 10.6084/m9.figshare.14999478
title: Adult Data Set

description: A sample from the census data from 1994 in United States.
DOI: 10.7910/dvn/fdj9oo
title: testpub20210717_1623

description: This is an incredible dataset
DOI: 10.5281/zenodo.5111621
title: Dataset: River Jets versus Wave-driven Longshore Currents at River Mouths

description: Dataset for the <em>River Jets versus Wave-driven Longshore Currents at River Mouths</em> paper Dataset is a result of Mike3 simulation outputs with selected fields exported in MATLAB. The outputs are separated by river mouth type and stored in 5-dimensional arrays, with the following data for each dimension: 1D - y dimension; 2D - x dimension; 3D – 26 conditions of jet and wave height and direction; 4D - 5 conditions of river jet; and 5D – model field outputs (bed elevation, x and y components of current velocity, significant wave height, etc.). Data_figures.rar contains the .jpeg export of the fields contained in the dataset.
DOI: 10.5281/zenodo.5111620
title: Dataset: River Jets versus Wave-driven Longshore Currents at River Mouths

description: Dataset for the <em>River Jets versus Wave-driven Longshore Currents at River Mouths</em> paper Dataset is a result of Mike3 simulation outputs with selected fields exported in MATLAB. The outputs are separated by river mouth type and stored in 5-dimensional arrays, with the following data for each dimension: 1D - y dimension; 2D - x dimension; 3D – 26 conditions of jet and wave height and direction; 4D - 5 conditions of river jet; and 5D – model field outputs (bed elevation, x and y components of current velocity, significant wave height, etc.). Data_figures.rar contains the .jpeg export of the fields contained in the dataset.
DOI: 10.6069/7tsx-f704
title: Loss of DNAJC3 impairs cholesterol metabolism and mitochondrial function

description: Recessive mutations in DNACJ3, an endoplasmic reticulum (ER)-resident BiP co-chaperone, have been identified in patients with multisystemic neurodegeneration and diabetes mellitus. While minor ER morphology changes due to loss of DNAJC3 have been reported previously, the precise cellular pathophysiology is still elusive and not well understood. To further elucidate the cellular consequences of DNAJC3 loss we employed a non-biased proteomic approach and identified dysregulation of several key cellular pathways implying a pathophysiological interplay of perturbed lipid metabolism, mitochondrial bioenergics, ER-Golgi function and amyloid-beta processing. Further functional investigations in fibroblasts of patients with DNAJC3 mutations detected cellular accumulation of lipids, and an increased sensitivity to cholesterol-stress, which led to activation of the UPR, alterations of the ER-Golgi machinery, a defect of APP processing and concomitant Aβ accumulation.  Moreover, we described here for the first-time alterations in mitochondrial morphology and oxidative phosphorylation as a major contributor to the DNAJC3 pathophysiology. Hence, we propose that the loss of DNAJC3 affects the lipid/cholesterol homeostasis, leading to UPR activation, Aβ accumulation and impaired protection against mitochondrial oxidative stress.
DOI: 10.6084/m9.figshare.14999523
title: RNA sequence.xlsx

description: RNA sequence for age-related women
DOI: 10.6084/m9.figshare.14999523.v2
title: RNA sequence.xlsx

description: RNA sequence for age-related women
DOI: 10.6084/m9.figshare.14999523.v1
title: RNA sequence.xlsx

description: RNA sequence for age-related women