cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c50g3h98k
title: MassIVE MSV000097460 - To study the acetylation of human serum albumin (HSA) in presence and absence of Neostigmine using 2-Naphthyl Acetate (2NA) as substrate and digestion with Pepsin
title: This is study done for academic purpose and funded by ICMR, New Delhi, India, sanctioned project titled:- To study the acetylation of human serum albumin (HSA) in presence and absence of Neostigmine using 2-Naphthyl Acetate (2NA) as substrate and digestion with Pepsin. Project File No. 5/4/1-25/2020-NCD-1. Sample processing protocol: For this, 1 ml of 1 mg/ml solution of fatty acid free human albumin (SIGMA) in 10 mM Tris HCl buffer, pH 7.38 was incubated with Neostigmine (in Acetonitrile)(working concentration of 5 microMolar for 1 hour at 37 degree Celsius. Further, acetylation was done using 2NA (prepared in Acetonitrile) for 45 minutes at 37 degree Celsius. 100 microlitre of each aliquot was denatured by boiling with 10 mM dithiothreitol for 10 minutes followed by the addition of Iodoacetamide (90 mM, SIGMA) and incubation for 30 mins in the dark at 37 degree Celsius. These were then subjected to Pepsin digestion (2 microgram, Promega, MS grade, prepared in acidic water).Next, samples to be digested by pepsin were incubated for 2 hours at 37 degree Celsius. Pepsin digestion was stopped by heating samples at 95 degree Celsius. The sample clean-up with C18 resins column was performed and the aliquots were then sent for data acquisition. Data Processing protocol: The MaxQuant software (2.0.3.1) was used for the analysis of data. Under group-specific parameters acetyl K, acetyl (N-term), and (acetyl protein N-term) were selected as variable modifications whereas the Carbamidomethyl (C) was considered a fixed modification. The label-free quantification was done and the albumin sequence file (accession: P02768) was taken as a reference for understanding the analysis. For digestion, Pepsin enzyme was added to MaxQuant enzyme file. The albumin sequence file (accession: P02768) was taken as a reference for understanding the analysis. Description of the raw files is as follow. HSA_NMS is Human serum albumin treated with Neostigmine and HSA_NMS _2NA is Human serum Albumin treated with Neostigmine and then substrate (2NA) was added.
DOI: 10.3535/06z-5mg-p5y
title: Hausmannite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/k89-r33-fne
title: Cassiterite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/8we-qn6-bb7
title: Cassiterite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/rab-ehg-5mm
title: Cassiterite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.11448768.v1
title: Quasi-1D Nanotube LAMMPS Trajectory

description: This is the trajectory file meant to work with the <b>iceNanotube</b> example folder of d-SEAMS. Check Github to navigate the source code in the browser. The filename needs to be preserved to run without any changes.
DOI: 10.3535/0ls-xcq-qtt
title: †Atrypa Dalman, 1828

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/f7b-cts-bmz
title: Minerals

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/fla-0bz-ym3
title: Migmatite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/xmm-gvw-lv8
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/5c9-wyv-l77
title: metamorphic rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/l8w-4zm-jxe
title: †Ctenentoma Schmidt, 1941

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.26015077.v1
title: Imaging and biological endpoints: Breakthru study on osteoarthritis

description: This data sets contains imaging and biological endpoints of a study that evaluated the imaging and therapeutic properties of a novel auto-repairing, radioopaque hyaluronic-based hydrogel in a mouse model of osteoarthritis.
DOI: 10.3535/raq-zcs-q82
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/wtv-9c5-e96
title: lubjakivi munakad kaltsiidi kristallidega

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.22404562.v8
title: Datasets compiled and utilized for the analyses

description: Datasets I compiled for the analyses in my study titled "Neorealist Analysis of Security Dilemma in Cyberspace; A Quantitative Study"
DOI: 10.3535/660-7ed-hlc
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/k7z-khr-9nc
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.5597884.v3
title: Successful Aging at work

description: The current data set includes the assessment of the SOC-12 in a first sample of workers over 40, and in a second sample of workers over 45.
DOI: 10.17632/b87xnzxgc6
title: Supplemental Table for JAAD Research Letter CAE_ICI_RT

description: Supplemental Table for JAAD Research Letter: dermatologic adverse events, immune checkpoint inhibitors, radiation therapy
DOI: 10.3535/1h6-dzn-zsl
title: Minerals

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/40d-tj2-wm4
title: metamorphic rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ft8-jv2-qqw
title: †Luhaia vardi Rõõmusoks, 1956

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/k61-w05-1q2
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/83e-82p-6na
title: Cuprite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/fs1-77g-6ee
title: Cuprite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/7kl-ymf-ce3
title: Cassiterite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/q89-smr-g6y
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.1209127.v7
title: A whole in Special Relitivity

description: A whole in Special Relitivity
DOI: 10.6084/m9.figshare.c.3688207_d4.v1
title: Additional file 1 of How can functional annotations be derived from profiles of phenotypic annotations?

description: Table S1. List of genes. (CSV 47 kb)
DOI: 10.3535/2p6-ea2-vyy
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/p88-pcm-jyd
title: †Luhaia vardi Rõõmusoks, 1956

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.28554065.v1
title: BSTID.zip

description: 数据集BSTID（全称双语场景文本图像数据集）用于论文“Research on Tamper Detection in Bilingual Scene Images Based on Semantic Conflict”的研究工作<br>--“original”文件夹收纳了未遭篡改及未经过二次编辑的原始训练图片，这些图片均以统一的“yuan_数字标号”命名格式进行标识。--“test”文件夹内的图像是原始图像、篡改图像和二次编辑图像类型图像的混合体，用于性能评估。----若图像以“yuan_数字标号”命名，则代表其为原始图像----若图像以“jie_数字标号”命名，则表明其为二次编辑后的图像，且其数字标号与原始图像的数字标号相对应，便于追溯其原始图像；----而对于仅包含数字标号的图像，则视为篡改图像，同样地，其数字标号可用于查找对应的原始图像。<br>----------------------------------------------------------------------------------------<br>The dataset BSTID (full name: Bilingual Scene Text Image Dataset) is used for the research work in the paper titled "Research on Tamper Detection in Bilingual Scene Images Based on Semantic Conflict."<br>-- The "original" folder contains unaltered and unedited original training images, all identified with a uniform naming format: "yuan_number label."-- The "test" folder contains a mix of original images, tampered images, and secondary edited images, used for performance evaluation.---- If an image is named "yuan_number label," it represents an original image.---- If an image is named "jie_number label," it indicates a secondary edited image, and its number label corresponds to that of the original image, making it easy to trace back to the original.---- For images that only contain a number label, they are considered tampered images, and similarly, their number label can be used to find the corresponding original image.
DOI: 10.3535/qme-6cc-91e
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/5vb-9hp-n9p
title: Corundum

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/hpx-y12-j6q
title: Minerals

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.7763453.v1
title: ncomms-18-34202-A-source-data

description: The source data underlying Figs 2c-e, 3h and 4j-k and Supplementary Figs 5c-f of paper entitled of “Symbiotic Cardiac Pacemaker” (original submission number: NCOMMS-18-34202-A) are provided in the Source Data file.
DOI: 10.6084/m9.figshare.943428.v1
title: Figure 3. Contigs associated by Hi-C reads.

description: A graph is drawn with nodes depicting contigs and edges depicting associations between contigs as indicated by aligned Hi-C read pairs, with the count thereof depicted by the weight of edges. Nodes are colored to reflect the species to which they belong (see legend) with node size reflecting contig size. Contigs below 5kb and edges with weights less than 5 were excluded. Contig associations were normalized for variation in contig size.
DOI: 10.17632/8cb6gdbsxs
title: Data for: The Effect of Pollutants on Leakage Current and Power Degradation of Photovoltaic Modules

description: The figure files of the paper
DOI: 10.3535/d8a-xmh-nbz
title: Conichnus conicus Männil

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/e5h-t6e-y90
title: Corundum

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.13725574.v2
title: Whole genome sequencing, replicate 2

description: Whole-genome sequencing of caucasian male. Replicate 1<br>
DOI: 10.3535/3gz-rh8-12z
title: Corundum

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/t47-0y7-vbz
title: Trochus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/bbr-15k-1lj
title: Conichnus conicus Männil

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/sa0-myz-t3w
title: †Dalmanella Hall & Clarke, 1892

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/gp0-vcz-9x2
title: †Lingulella Salter, 1866

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.14160893.v2
title: ED Figure 6 - CNOT_Zero-CNOT

description: This dataset contains raw current traces. Matlab scripts appended to the data allow for the reanalysis of the data to recreate figures in the paper.
DOI: 10.3535/n8b-k7v-lnz
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qtc-fzg-srr
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.22826606.v1
title: RescueNet Segmentation Dataset Descriptor

description: A note to describe the semantic segmentation labels.
DOI: 10.3535/l0d-n1x-fkx
title: Chalcedony

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/sn1-nc0-6x6
title: Quartz

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/3py-4fa-p05
title: Chalcedony

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/4rr-pnp-88n
title: Chalcedony

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/0qx-kkl-6m3
title: Minerals

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/gxc-lf9-jwl
title: Quartz

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/xr5-865-fyh
title: Amber

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.1481263.v1
title: CUSUM Statistical Monitoring of M/M/1 Queues and Extensions

description: Many production and service systems can be modeled as queueing systems. Their operational efficiency and performance are often measured using queueing performance metrics (QPMs), such as average cycle time, average waiting length, and throughput rate. These metrics need to be quantitatively evaluated and monitored in real time to continuously improve the system performance. However, QPMs are often highly stochastic, and hence are difficult to monitor using existing methods. In this article, we propose the cumulative sum (CUSUM) schemes to efficiently monitor the performance of typical queueing systems based on different sampling schemes. We use M/M/1 queues to illustrate how to design the CUSUM chart and compare their performance with several alternative methods. We demonstrate that the performance of CUSUM is superior, responding faster to many shift patterns through extensive numerical studies. We also briefly discuss the extensions of CUSUM charts to more general queues, such as M/G/1, G/G/1, or M/M/c queues. We use case studies to demonstrate the applications of our approach. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.20098658.v1
title: Additional file 5 of De novo assembly provides new insights into the evolution of Elaeagnus angustifolia L.

description: Additional file 5: Table S27. Go pathways functions of new genes.
DOI: 10.3535/jr6-2el-twe
title: Goethite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.19682199.v1
title: Investigating the magnetotelluric responses in electrical aniso-tropic media

description: This data can be used to show the MT responses in electrical anisotropic media in terms of anisotropy index and polar plot.
DOI: 10.6084/m9.figshare.20673255.v4
title: Replication Package of the study "Exploring the Notion of Risk in Reviewer Recommendation"

description: Description <strong>This is a Dockerized version of the repository https://github.com/software-rebels/RAR_Recommender . The package is developed to ease the replication of our study for researchers and practitioners.</strong> <br> This package contains the necessary information to replicate the study "Exploring the Notion of Risk in Reviewer Recommendation." This code extends the RelationalGit package (https://github.com/CESEL/RelationalGit) from the study of E. Mirsaeedi and P. C. Rigby [1]. It adds some functionality needed to incorporate the concept of the fix-inducing likelihood of a project. In addition to our dataset, this repository also has the supporting materials for our study. The supporting materials are in the "ICSME_online_materials_ICSME.pdf" and contain the following items: Table 1 contains the detail of the dataset and some related statistics for each studied project. Table 2 shows the risk measures used in our defect prediction model. We use Commit Guru Tool to extract the data from the GitHub repositories and then use this data to train our defect prediction model. Figure 1 illustrates the distribution of predicted defect probability of different projects. This distribution shows how the defect probability of different periods is similar to the adjacent periods. Replication Steps: Read Requirements.md and ensure the necessary software/hardware requirements. Read Install.md and install the necessary packages to run the containers. Follow the steps in ReadMe.md to reproduce the results of our study. References: [1] E. Mirsaeedi and P. C. Rigby, 'Mitigating turnover with code review recommendation: Balancing expertise, workload, and knowledge distribution', στο Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering, 2020.
DOI: 10.6084/m9.figshare.24151839.v1
title: atf5KD_allsamples_count.txt

description: Transcriptome analysis of human cutaneous T cell lymphoma cell line Myla and H9 with ATF5 knockdown.
DOI: 10.6084/m9.figshare.26073796.v1
title: Macrobrachium_rosenbergii_genome

description: Here we constructed a high-quality reference genome for <i>M. rosenbergii</i> by using Nanopore, Illumina, and high-throughput chromosome conformation capture (Hi-C) technologies. The final genome size is 3.18 Gb, with the scaffold N50 and contig N50 of 62.73 Mb and 8.92 Mb, respectively. Approximately 98.6% of assembled sequence were anchored into 59 pseudo-chromosomes. Benchmarking Universal Single-Copy Orthologs (BUSCO) benchmark of genome assembly reached 94.5%. Repetitive sequences comprise 43.77% of the assembled genome, and 17,436 protein-coding genes were annotated. The high-quality genome of<i> M. rosenbergii</i> will empower molecular breeding efforts and provide invaluable resources for comparative genomic analysis of decapod species.
DOI: 10.6084/m9.figshare.28069670.v1
title: Gemome assembly and gene annotation files of endive (<i>Cichorium endivia </i>var. K001)

description: Gemome assembly and gene annotation files of endive (<i>Cichorium endivia </i>var. K001)
DOI: 10.17632/285fn4b5kx
title: Research data: "Virtual testing methodology to predict the mechanical behavior of collagen hydrogels from nanoarchitecture"

description: Research Data for the article: Virtual testing methodology to predict the mechanical behavior of collagen hydrogels from nanoarchitecture.

The dataset includes information extracted from Avizo after skeletonizing the selected volumes of interest (VOIs). This information consists of the geometrical parameters of the segments into which the fibers are divided (total length, endpoint length and tortuosity), as well as the data defining the spatial networks (point coordinates, segment points and initial and final nodes), necessary to reconstruct the fibered matrices of the VOIs.
Additionally, a file is provided with the results of the virtual shear tests performed on the reconstructed fibered matrices. This file shows the shear stress values, along with the axial, bending and torsional accumulated strain energy densities developed by the fibered matrices of the VOIs for each shear strain level considered, ranging from 0% to 30%.
Finally, the dataset includes a file containing the results of the two experimental rheological tests conducted on the collagen hydrogels.
DOI: 10.3535/d23-0cq-w6l
title: Quartz

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/tj8-htz-277
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.22309015.v1
title: Anvi'o single-copy core gene taxonomy for healthy gut metagenomes

description: Each file in this data pack is the output of the program `anvi-estimate-scg-taxonomy`, for a given ribosomal protein, with the `--long-format` and `--metagenome-mode` flags run on 3,036 gut metagenomes generated from healthy individuals across the globe. <br> Learn more about the `anvi-estimate-scg-taxonomy` here: <br> https://anvio.org/m/anvi-estimate-scg-taxonomy
DOI: 10.17632/5d87fprdg8
title: Invention Patents vs Research Articles Ratio study on WIPO, OECD, EU tables

description: 
1	DataSets for Paper-Patent comparison}
Three datasets for paper/patent related data.
The first three files are in Excel format the 4th in Python. The initial dataset is located first. 
Then selected subset and calculations are generated. 
1.1	 Article/patent ratio according to Global Innovation Index}
World Bank declared this dataset is classified as Public under the Access to Information Classification Policy under Definition: Scientific and technical journal articles refer to the number of scientific and engineering articles published in a lot of fields. Scientific and technical article counts are from journals classified by the Institute for Scientific Information's Science Citation Index (SCI) and Social Sciences Citation Index (SSCI).
We isolated two codes: 
1.	WIPO, Patent applications, residents indicator code 2012, 
2.	SCIMAGO, Scientific and technical journal articles indicator code 2015

Dutta, S., Lanvin, B., Wunsch-Vincent, S., 2020. Global innovation index 2020. WIPO, Johnson Cornell University. 
URL: https://www.globalinnovationindex.org/about-gii.

1.2	Article - patent ratio according to Global Innovation Index} 
All classifications and numbers are per country GDP. We focus on three items:
1.	PCT patents by origin/bn PPP USD GDP, 
2.	Scientific and technical articles/bn PPP USD GDP and 
3.	Citable documents H-index
OECD, 2014. Patents by main technology and by international patent classification (ipc) URL:  https://www.oecd-ilibrary.org/content/data/data-00508-en  , 
doi: https://doi.org/10.1787/data-00508-en 

1.3	Article Patent Ratio according European Patent office
Scientific and technical journal articles - tcdata360. URL: https://tcdata360.worldbank.org/indicators/IP.JRN.ARTC.SC?country=BRA&indicator=2015&viz=line_chart&years=2003,2016  .
Download link https://tcdata360-backend.worldbank.org/api/v1/datasets/56/dump.csv 

1.4 PYTHON sheet to solve min-max scaling data for PATENT/PAPER ratio
To compare patents with papers, normalize my data with min-max scaling method
The formula for calculating normalized score is the following
X new = (X — X min)/ (X max — X min)
1 Python 1 PDF file
DOI: 10.3535/6na-ssx-h3c
title: Chalcedony

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/vht-h5e-vw5
title: Chalcedony

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.25020971.v1
title: The Moho depth of the SE Tibetan Plateau

description: <b>Imaging the Moho structure of the SE Tibetan Plateau by using an eikonal equation-based receiver function inversion method</b>
DOI: 10.3535/gz2-fb6-gbp
title: igneous rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/xj0-tfj-hxq
title: Cassiterite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.14616966.v1
title: Experience Survey Transcripts

description: Experience Survey Interviews need to be recorded with the permission of the manager being interviewed. Here the recordings were done using mobile phone and later each recording was carefully converted into transcripts for further research purposes.<br>