cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/v8sxysdhfb.1
title: A proteome dataset for TLR4 & IL1R activation & inhibition via FDA /EMA -approved drugs in chondrocytes, osteoblasts and synoviocytes

description: Mendely Data associated with:
Title: A transcriptome & proteome dataset for TLR4 & IL1R activation & inhibition in chondrocytes, osteoblasts and synoviocytes
Journal Title: Data in Brief
Corresponding Author: Dr. Rodolfo Gomez
All Authors: Eloi Franco-Trepat; María Guillán-Fresco; Ana Alonso-Pérez; Miriam López-Fagúndez; Andrés Pazos-Pérez; Antia Crespo-Golmar; Oreste Gualillo; Alberto Jorge-Mora; Susana Belén Bravo; Rodolfo Gomez
DOI: PENDING

The data provided is also associated as Supplementary Data to
Title: Repurposing drugs to inhibit innate immune responses associated with TLR4, IL1, and NLRP3 signaling in joint cells
Journal Title: Biomedicine & Pharmacotherapy
Corresponding Author: Dr. Rodolfo Gomez
All Authors: Eloi Franco-Trepat; María Guillán-Fresco; Ana Alonso-Pérez; Miriam López-Fagúndez; Andrés Pazos-Pérez; Antia Crespo-Golmar; Oreste Gualillo; Alberto Jorge-Mora; Susana Belén Bravo; Rodolfo Gomez
DOI: doi.org/10.1016/j.biopha.2022.113671

Data Description
Table 1
Merged dataset of approved drugs by the Federal Drugs Agency (FDA) & European Medicine Agency (EMA). Synonyms, formulations, and doses were included as individual entries.
Table 2
Merged dataset of approved active compounds by the Federal Drugs Agency (FDA) & European Medicine Agency (EMA). Synonyms, formulations, and doses were included as individual entries.
Table 3
List of all primers used in the manuscript including sequence, melting temperature and RefSeq. All primers were purchased as “KiCqStart® SYBR® Green Primers” ref. KSPQ12012 (Merck; USA).  
Table 4
Cellular proteome & secretome qualitative DDA data (n3) obtained by MALDI-TOFF of primary human OA chondrocytes (Control, TLR4 agonist LPS [100ng/ml] and IL1R agonist IL1β [0.1ng/ml]).
Table 5
Cellular proteome quantitative SWATH data (n=3) obtained by MALDI-TOFF of primary human OA chondrocytes (Control, TLR4 agonist LPS [100ng/ml] and IL1R agonist IL1β [0.1ng/ml]).
DOI: 10.17632/t9c2xms74b.1
title: TMT-based quantitative proteomics analysis reveals the effects of the α-lactalbumin peptides GINY and DQW on lipid deposition and oxidative stress in HepG2 cells

description: To further explore the underlying mechanism of the α-lactalbumin peptides Gly-Ile-Asn-Tyr (GINY) and Asp-Gln-Trp (DQW)  in alleviating hepatic steatosis, TMT-based quantitative proteomics was performed.  Overall, a total of 3808 quantifiable proteins were identified from the four groups, and the quantitative results were visualized in Table S1. Among them, 432 proteins were identified as DEPs ( Tables S2-4). Further analysis showed that 95 proteins were the mutual DEPs among the four groups (Table S5). 339 proteins were identified as DEPs (151 upregulated and 188 downregulated) in the FFAs group (versus the control group，Table S2). Compared with the FFAs group, 203 proteins were identified as DEPs (128 upregulated and 75 downregulated) in the GINY group (Table S3), and 172 proteins were identified as DEPs (106 upregulated and 66 downregulated) in the DQW group (Table S4).
DOI: 10.17632/t9c2xms74b.2
title: TMT-based quantitative proteomics analysis reveals the effects of the α-lactalbumin peptides GINY and DQW on lipid deposition and oxidative stress in HepG2 cells

description: To further explore the underlying mechanism of the α-lactalbumin peptides Gly-Ile-Asn-Tyr (GINY) and Asp-Gln-Trp (DQW)  in alleviating hepatic steatosis, TMT-based quantitative proteomics was performed. Overall, a total of 3808 quantifiable proteins were identified from the four groups, and the quantitative results were visualized in Table S1. Among them, 213 proteins were identified as DEPs (Tables S2-4). Further analysis showed that 37 proteins were the mutual DEPs among the four groups (Table S5). As shown in Fig. 2b and Table S2, 155 proteins were identified as DEPs in the FFAs group (versus the control group). Compared with the FFAs group, 99 proteins were identified as DEPs in the GINY group (Table S3), and 89 proteins were identified as DEPs in the DQW group ( Table S4).
DOI: 10.17632/mfbnhvyfsp.1
title: Martensitic stainless steel reduce hot tearing sensitivity composition optimization data

description: High throughput calculation of hot tearing susceptibility for Cr, Ni, Co, Mo, V, Si, C, Mg, Nb, Y, Ce, Ti, Zr, and Al. The data obtained can be used to calculate the tendency of each element to hot tearing susceptibility in the stainless steel range, providing elemental guidance for thermal cracking modification of other alloys.
DOI: 10.17632/zcxdsw95bm.1
title: Speculation of Inflationary Pressure Affecting the Personal Finances of Undergraduate Students

description: This data-set cited sources that helped assess the interrelationship between savings, spending, and inflation expectations among undergraduate students. It was directed towards discovering the difficulties students may face with their finances because of inflation. A web-based survey was administered to 315 undergraduate students in Nigeria. Data obtained was analyzed using descriptive statistics such as percentage and frequency. The results revealed inflation expectations had a significant negative impact on the spending habits of students. The results further revealed that individual savings attitudes were reduced with an increase in inflation, but overall savings did not.
DOI: 10.17632/zcxdsw95bm.2
title:  Inflation Expectations Affecting the Personal Finances of Undergraduate Students

description: This data-set cited sources that helped assess the interrelationship between savings, spending, and inflation expectations among undergraduate students. It was directed towards discovering the difficulties students may face with their finances because of inflation. A web-based survey was administered to 315 undergraduate students in Nigeria. Data obtained was analyzed using descriptive statistics such as percentage and frequency. The results revealed inflation expectations had a significant negative impact on the spending habits of students. The results further revealed that individual savings attitudes were reduced with an increase in inflation, but overall savings did not.
DOI: 10.17632/gxbngx8np7.1
title: Interview Dr Aimee Farria Full interview

description: Dr Aimee Farria Full interview
DOI: 10.17632/w32mrdmw7h.1
title: Epoxy/Carbon Twill Woven Composite : Mechanical Properties

description: Raw force vs. stroke plots for on-axis tension, off-axis 45 degree tension, and on-axis compression for twill woven carbon/epoxy composite.  Processed data, and calculated properties to be reported in a concurrent article in Data in Brief. Research was sponsored by the Office of Naval Research under grant number N00014-20-1-2594.
DOI: 10.17632/r4vtyx7kdc.1
title: Rhea_kang_full_interview alumni industry

description: Alumni Feature Rhea Kang
DOI: 10.17632/4yfzmxx7td.1
title: Collection of publications on under-frequency load shedding protection

description: The number of publications in the field of under-frequency load shedding (UFLS) protection is rapidly increasing. This confirms that the topic is timely, but due to the large number of publications, it is easy to lose track of the prevailing concepts driving the latest technologies. To overcome this problem, researchers resort to subjective review articles in the literature in which individual authors attempt to systematically categorize UFLS algorithms according to their own understanding of a variety of approaches. Since this is not exactly a trivial task and is undoubtedly subject to personal interpretation, it is better to use specialized mathematical techniques for this purpose. Recently, it has been shown that clustering techniques and graph theory can be a useful tool for systematic literature reviews. If one decides to use such techniques to search for similarities between UFLS algorithms, one must first collect the relevant literature and extract important information. Therefore, this collection provides an Excel spreadsheet (.xlsx) of 381 publications on UFLS protection for the period 1954 to 2020, with the following information for each publication:
i)	authors,
ii)	title,
iii)	year of publication (journal, conference proceedings, dissertation, master thesis, bachelor thesis, other),
iv)	the source from which we obtained the publication,
v)	DOI (Digital Object Identifier),
vi)	extracted general features, and
vii)	extracted specific features.

If the publication in the row can be assigned to the feature specified in column I3-BJ3, the corresponding cell contains the value "1". Otherwise, (i.e. if the feature specified in column I3-BJ3 cannot be assigned to the publication), the cell is empty. Detailed descriptions of the individual feature can be found in a Word document (.docx).

The relevant literature was obtained from various open access journals, impact factor journals, repositories of various universities and archives of various electricity suppliers and transmission system operators.
DOI: 10.17632/6t9mb3yydy.1
title: High-throughput sequencing of single neuron projections reveals spatial organization in the olfactory cortex

description: We mapped the brain-wide projection patterns of 5,309 olfactory bulb (OB) and 30,433 piriform cortex (PC) output neurons at single-cell resolution using barcode labelling and high-throughput sequencing based technologies (MAPseq and BARseq). Here we provided the script and barcode matrices we used for analysis.
DOI: 10.17632/ggbft4btrb.1
title: High-throughput sequencing of single neuron projections reveals spatial organization in the olfactory cortex

description: We mapped the brain-wide projection patterns of 5,309 olfactory bulb and 30,433 piriform cortex output neurons at single-cell resolution using barcode labelling and high-throughput sequencing based technologies (MAPseq and BARseq).  Basically, we label individual neurons within olfactory bulb (OB) or piriform cortex (PC) by unique barcoded RNA, which can replicate and transport to axonal terminals. We then dissected targeted brain regions and injection sites, extracted RNA and sequenced for the barcodes as the readout of the brain-wide projections of barcoded neurons. Here we provided the images of dissected brain slices from 13 mouse brains: 8 brains for OB MAPseq/BARseq by Laser Capture Microdissection (LCM) and 5 brains for PC MAPseq by manual dissection with scalpel.
DOI: 10.17632/s6p8mtpb69.1
title: Ring domains are essential for GATOR2-dependent mTORC1 activation

description: The raw data for "Ring domains are essential for GATOR2-dependent mTORC1 activation'' . This files included both the raw data for the main figures and supplementary figures.
DOI: 10.17632/y3wps43tmj.1
title: The chromosome-level Melaleuca alternifolia genome provides insights into the molecular mechanisms underlying terpenoids biosynthesis

description: The essential oil of Melaleuca alternifolia, also known as tea tree oil, is increasingly popular for its naturally occurring biological and pharmacological properties and is widely used in daily hygiene, skin care, and cosmetic products. Understanding the genetic basis of M. alternifolia can also provide useful molecular information that can improve the potential for essential oil yield in breeding. Here, we first reported the genome of M. alternifolia at the chromosome level by incorporating Hi-C, Illumina, and PacBio sequencing to anchor the 331.11 Mb genome assembly into 11 pseudochromosomes with a scaffold N50 value of 31.72 Mb. Comparative genomic analysis showed that several genes from the M. alternifolia genome may have evolved toward more terpenoids metabolites by artificial or natural selection, including MaSE, MaSDR1, MaKAO, MaGA20ox, MaISPF, MaDXS, MaHMGS, and MaIDI. Metabolomics data showed that sesquiterpenoids and monoterpenoids were the main categories of volatile organic compounds (VOCs), the contents of most of which were significantly higher in leaves than in roots and stems, suggesting that they may contribute to the formation and accumulation of VOCs in the leaves of M. alternifolia. Coexpression and ceRNA network results indicated that the identified class of miR156 may play a key role in the biosynthesis of terpenoids by regulating the expression of related genes. Integrated whole-transcriptome and metabolome analyses showed that the members of the CYP450 and terpene synthase (TPS) gene families exhibited a high correlation with terpenoids accumulation, which can be responsible for terpenoids biosynthesis via complex regulatory networks, including MaCYP76F14, MaCYP76B10, MaCYP76A26, MaCYP82G1, MaTPS2, and MaTPS4. These results provide a better understanding of the molecular mechanisms of terpenoids biosynthesis in M. alternifolia and will provide basic research and technical support for high yields of essential oils in crop molecular breeding.
DOI: 10.17632/y3wps43tmj.2
title: The chromosome-level Melaleuca alternifolia genome provides insights into the molecular mechanisms underlying terpenoids biosynthesis

description: The essential oil of Melaleuca alternifolia, also known as tea tree oil, is increasingly popular for its naturally occurring biological and pharmacological properties and is widely used in daily hygiene, skin care, and cosmetic products. Understanding the genetic basis of M. alternifolia can also provide useful molecular information that can improve the potential for essential oil yield in breeding. Here, we first reported the genome of M. alternifolia at the chromosome level by incorporating Hi-C, Illumina, and PacBio sequencing to anchor the 331.11 Mb genome assembly into 11 pseudochromosomes with a scaffold N50 value of 31.72 Mb. Comparative genomic analysis showed that several genes from the M. alternifolia genome may have evolved toward more terpenoids metabolites by artificial or natural selection, including MaSE, MaSDR1, MaKAO, MaGA20ox, MaISPF, MaDXS, MaHMGS, and MaIDI. Metabolomics data showed that sesquiterpenoids and monoterpenoids were the main categories of volatile organic compounds (VOCs), the contents of most of which were significantly higher in leaves than in roots and stems, suggesting that they may contribute to the formation and accumulation of VOCs in the leaves of M. alternifolia. Coexpression and ceRNA network results indicated that the identified class of miR156 may play a key role in the biosynthesis of terpenoids by regulating the expression of related genes. Integrated whole-transcriptome and metabolome analyses showed that the members of the CYP450 and terpene synthase (TPS) gene families exhibited a high correlation with terpenoids accumulation, which can be responsible for terpenoids biosynthesis via complex regulatory networks, including MaCYP76F14, MaCYP76B10, MaCYP76A26, MaCYP82G1, MaTPS2, and MaTPS4. These results provide a better understanding of the molecular mechanisms of terpenoids biosynthesis in M. alternifolia and will provide basic research and technical support for high yields of essential oils in crop molecular breeding.
DOI: 10.17632/4xyn6wbrhf.1
title: The raw transcriptomics data of Huan Zhou

description: The raw transcriptomics data of Huan Zhou
DOI: 10.17632/86sj33f6my.1
title: Global research trends on Psychosocial Rehabilitation in patients with Cardiovascular Diseases: A Bibliometric analysis using CiteSpace

description: Data is related to psychosocial rehabilitation in cardiovascular diseases. Data was retrieved from the Web of Science (WoS) from the year 1989 to 2022.
DOI: 10.17632/ynhxcw4c96.1
title: Course Choice DCE

description: A small discrete choice experiment (DCE) conducted among participants of a course on Monte Carlo simulation methods in the social sciences at the LMU Munich in the winter semester 2021/2022. It is used as an illustration of how such designs can easily be implemented and how even with small samples we are able to detect causal effects with suitable (fractional factorial) designs.
DOI: 10.17632/pvyh8j6xhn.1
title: COVID19 XRAY DATA

description: More than 350 million cases of infection, 5 million fatalities, and ongoing negative effects on physical and mental health are all results of the COVID-19 pandemic, which has afflicted people all over the world.

Globally, COVID-19 has caused a significant number of fatalities and now poses a novel and uncommon hazard to food security, labor and employment, and public health. Around 10 million individuals globally are impacted daily by COVID, according to the WHO, which is still spreading quickly. The most painful people are those who have chronic illnesses.

In order to limit the rate at which the virus is spread by direct contact, researchers focus all of their efforts on reducing the infection rate and increasing the precision of disease detection.

We contribute to accelerating the covid19 detection process for deep learning by creating a covid19 dataset in order to decrease the number of deaths caused by covid19. Our dataset, which numerous clinicians and researchers validated, comprises normal and covid19 X-ray pictures from various hospitals in Bangladesh. The dataset contains a total of 2000 images, where 1000 are normal and 1000 are covid images. Since the image quality is good and the data is sharp enough to extract image information, we anticipate that this dataset will aid in the diagnosis of covid19.
DOI: 10.17632/cjhm2n625z.1
title: Codes for visual cortex encodes timing information in humans and mice

description: Codes for visual cortex encodes timing information in humans and mice, including codes for computational model.
DOI: 10.6084/m9.figshare.21107986
title: Haemoglobin, red blood cell and iron status parameters from a healthy adult population in Kenya

description: This dataset was derived from healthy adults in Kenya aged 18-65 years and was used to estimate the burden of iron deficiency in a healthy adult population residing in Kenya and to determine the association between ferritin cut-offs used to define iron deficiency and anaemia in a population known to have chronic low-grade inflammation.
DOI: 10.17632/jp4hj6wvwd.1
title: oil supply to top ring and land pressure

description: oil supply to top ring and land pressure
DOI: 10.6084/m9.figshare.21120403
title: dalotia_coriaria_zanfona_1.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.21120403.v1
title: dalotia_coriaria_zanfona_1.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.21120481
title: Airbnb NYC 2019 data

description: <em>The New York City Airbnb 2019 Open Data is a dataset containing varius details about a listed unit, when the goal</em><br> <em>is to predict the rental price of a unit.</em><br> <br> <em>This dataset contains the details for units listed in NYC during 2019, was adapted from the following open kaggle</em><br> <em>dataset: https://www.kaggle.com/datasets/dgomonov/new-york-city-airbnb-open-data. This, in turn was downloaded from</em><br> <em>the Airbnb data repository http://insideairbnb.com/get-the-data.</em><br> <br> <em>This dataset is licensed under the Creative Commons Attribution 4.0 International License</em><br> <em>(https://creativecommons.org/licenses/by/4.0/).</em>
DOI: 10.15468/hzavos
title: USGS PWRC - Native Bee Inventory and Monitoring Lab - World - Bees

description: Species occurrence records for native and non-native bees and other insects collected using mainly pan, malaise, and vane trapping; and insect netting methods in Armenia, Bahamas, Belgium, Bhutan, Bolivia, Chile, Cuba, Dominican Republic, Ghana, and Israel. Some records also contain notes regarding plants or substrates from which insects were collected or that were present and/or in flower at the time the insects were collected. Unless otherwise noted, taxonomic determinations (identifications) were completed by Sam Droege (USGS Patuxent Wildlife Research Center - PWRC).
DOI: 10.15468/rlare8
title: Insect (HUNM-IN)
DOI: 10.5281/zenodo.7061506
title: Annotated-VocalSet: A Singing Voice Dataset

description: This dataset provides annotations for the VocalSet dataset, which is available online at <pre>https://doi.org/10.5281/zenodo.1442513</pre> . The annotations generated for the VocalSet audio files include fundamental frequency contour, note onset, note offset, the transition between notes, note F0, note duration, Midi pitch, and lyrics. VocalSet consists of more than 10 hours of monophonic recorded audio of professional singers in a variety of vocal techniques (n = 17) and several singers (m = 20) with several WAV files (p = 3560). However, although several categories, including techniques, singers, tempo, and loudness, are considered in the dataset, the sung notes were not annotated. Therefore, this dataset aims to annotate VocalSet to make it a more powerful dataset for researchers. Details of the dataset are provided in the following academic journal paper. Faghih, Behnam, and Joseph Timoney. 2022. "Annotated-VocalSet: A Singing Voice Dataset" <em>Applied Sciences</em> 12, no. 18: 9257. https://doi.org/10.3390/app12189257 Please use the above paper to cite this dataset.
DOI: 10.5281/zenodo.7061507
title: Annotated-VocalSet: A Singing Voice Dataset

description: This dataset provides annotations for the VocalSet dataset, which is available online at <pre>https://doi.org/10.5281/zenodo.1442513</pre> . The annotations generated for the VocalSet audio files include fundamental frequency contour, note onset, note offset, the transition between notes, note F0, note duration, Midi pitch, and lyrics. VocalSet consists of more than 10 hours of monophonic recorded audio of professional singers in a variety of vocal techniques (n = 17) and several singers (m = 20) with several WAV files (p = 3560). However, although several categories, including techniques, singers, tempo, and loudness, are considered in the dataset, the sung notes were not annotated. Therefore, this dataset aims to annotate VocalSet to make it a more powerful dataset for researchers. Details of the dataset are provided in the following academic journal paper. Faghih, Behnam, and Joseph Timoney. 2022. "Annotated-VocalSet: A Singing Voice Dataset" <em>Applied Sciences</em> 12, no. 18: 9257. https://doi.org/10.3390/app12189257 Please use the above paper to cite this dataset.
DOI: 10.5517/ccdc.csd.cc287b73
title: CCDC 2092414: Experimental Crystal Structure Determination

description: Related Article: Karnjit Parmar, Christa S. Blaquiere, Brianna E. Lukan, Sydnie N. Gengler, Michel Gravel|2022|Nat. Synth.|1|696|doi:10.1038/s44160-022-00135-z
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.cc28d1lb
title: CCDC 2096951: Experimental Crystal Structure Determination

description: Related Article: Yi-Ling Wang, Yan-Xu Hou, Hai-Yu Ji, Qing-Qing Wang, Gui-Mei Tang, Yong-Tao Wang|2022|J.Mol.Struct.|1271|134043|doi:10.1016/j.molstruc.2022.134043
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.cc12d2tc
title: CCDC 994722: Experimental Crystal Structure Determination

description: Related Article: Yi-Ling Wang, Yan-Xu Hou, Hai-Yu Ji, Qing-Qing Wang, Gui-Mei Tang, Yong-Tao Wang|2022|J.Mol.Struct.|1271|134043|doi:10.1016/j.molstruc.2022.134043
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.