cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6675429
title: Internal climate variability and spatial temperature correlations during the past 2000 years

description: Climate model output of the iLOVECLIM model. The repository contains: Data on 9 ensemble members corresponding to ensemble members 1-9 in the publication: 1: 0ka_trans_013000to015000.nc 2: 0ka_trans_precipcorr_AC_x0.4_AS_x1.6_013000to015000.nc 3: 0ka_trans_7params_6_013000to015000.nc 4: 0ka_trans_7params_12_013000to015000.nc 5: 0ka_trans_7params_30_013000to015000.nc 6: 0ka_trans_8params_6_013000to015000.nc 7: 0ka_trans_8params_26_013000to015000.nc 8: 0ka_trans_8params_35_013000to015000.nc 9: 0ka_trans_8params_40_013000to015000.nc Three different data files for every ensemble member atmym: yearly mean atmospheric output (t2m is used for temperature in the manuscript) CLIO2: yearly mean ocean surface output (temp is used for SST in the manuscript) graevolu: collection of monthly mean 1 dimensional ocean outputs (ADPro is used for AMOC strength in the manuscript)
description: iLOVECLIM climate model output used in the Climate of the Past publication entitled "Internal climate variability and spatial temperature correlations during the past 2000 years".
DOI: 10.5281/zenodo.7302007
title: Green taxes as ecosystem conservation: an analysis of the industrial sector's view in Peru

description: <strong>Background:</strong> Environmental problems are becoming more and more recurrent nowadays, which is why many countries have acted on the matter, through different forms, laws and taxes that can contribute and reduce the polluting impact of companies at the time of manufacturing their products. One of the reforms has been environmental taxes, which are not only aimed at raising money, but also at taking corrective action on the behavior of companies that damage both the environment and the health of the population. <strong>Objective:</strong> The research is interested in finding out the opinion and interest of managers of different companies in the industrial sector on environmental taxes, also known as green taxes, and whether they consider it necessary to add green taxes to the current tax system. <strong>Method:</strong> For the data collection of the research, 120 managers of small and medium-sized enterprises in the industrial sector were questioned about whether green taxes could have an influence on ecosystem conservation and several other questions. <strong>Results: </strong>63.3% of the managers surveyed agree that the application of an environmental tax is necessary.
DOI: 10.6084/m9.figshare.15046797
title: Code and Data for Prediction of SARS-Cov-2-positivity from million-scale complete blood counts using machine learning

description: Sample data and code for easy reproducibility of results described in the paper<em> Prediction of SARS-CoV-2-positivity from million-scale complete blood counts using machine learning.</em> <br> Please see the paper for the full author list and more details. <br> https://www.nature.com/articles/s43856-022-00129-0<br>
DOI: 10.6084/m9.figshare.18070421
title: Supplementary Data for "A numerical algorithm for modeling cellular rearrangements in tissue morphogenesis" by R.Z. Mohammad, H. Murakawa, K. Svadlenka, and H. Togashi

description: <b>Supplementary Data 1. </b>Dataset used to generate Figures 3b and 3f: Plot of relative intensity of β-catenin accumulations at OO, OS, and SS junctions during cellular rearrangements of WT and αN-catenin KO olfactory epithelia, obtained by interpolation of β-catenin intensity mean values at time instants E14, E16, E18 and P1.<br><b>Supplementary Data 2. </b>Dataset used to generate Figures 3d, 3h, and 4c: Box plots of cell neighbor counts obtained from actual images WT and αN-catenin KO olfactory epithelia at time instants E14, E16, and P1; from their corresponding simulation images; and from WT simulation with hypothetical P1 tension values.<br><b>Supplementary Data 3.</b> Dataset used to generate Figure 4a: Plot of evolution of interfacial tensions based on measurements up to embryonic stage E18 but is selected hypothetically for postnatal stage P1.<br><br><b>Supplementary Data 4.</b> Dataset used to generate Figure 5e: Plot of evolution of interfacial tensions at SS, HS, and HH junctions used in WT and Nectin-3 KO simulations of an embryonic auditory epithelium.<br><br><b>Supplementary Data 5.</b> Dataset used to generate Supplementary Figure 4b and 4c: Log-log plot of relative error of mean radius of growing circles and shrinking circles at t = 0.01875 for varying mesh-time configurations.<br><b>Supplementary Data 6.</b> Dataset used to generate Supplementary Figure 5d and 5e: Log-log plot of relative error in radius of the best fitted circle to each interface and relative error in contact angles at triple junction for varying mesh-time configurations.<br><b>Supplementary Data 7.</b> Dataset used to generate Supplementary Figure 6c: Plot of evolution of the magnitude of contact angle measured across topology change for varying mesh-time configurations.<br><br><b>Supplementary Data 8.</b> Dataset used to generate Supplementary Figures 8d-f and 9: Plot of evolution of OO-junction length, total and surface energy, and error in cell volumes for vertex dynamics model with volume penalties ρ = 500 and ρ =100; and level-set based method.<br><br><b>Supplementary Data 8.</b> Dataset used to generate Supplementary Figures 11: Log-log plots of CPU times for executing the vertex dynamics algorithm on test case A (with topology change) and test case B (without topology change), showing increased cost when T1-swap is present.<br><br><br>
DOI: 10.6084/m9.figshare.19660698.v4
title: Datasets generated from the study on trace lead removal by inactive yeast cells

description: Datasets generated and analyzed during the Pb biosorption study, including yeast growth curve, HPLC data from yeast washing, ICP-MS data for adsorption isotherm, kinetics, chitin, and pH experiments, as well as data from the XPS and FTIR analyses.
DOI: 10.7945/1k0e-ew43
title: Force-displacement respose of porcine meniscus in no-slip uniaxial compression
DOI: 10.5281/zenodo.7364550
title: test_for_arc

description: khhhhjhj
DOI: 10.5281/zenodo.7364549
title: test_for_arc

description: khhhhjhj
DOI: 10.17632/ftdpmdjfpv.1
title: Data and scripts to assess mammals in plantations using occupancy, species richness and activity patterns analyses

description: Conservation efforts includes plantations of non-native and some native timber species. Whether these plantations are suitable as habitat or corridors for wildlife remains unclear due to limited empirical evidence. Here, we archived data from ground-dwelling vertebrates' surveys, using camera trap during one-year of sampling in five types of plantations in Central Panama. We deployed camera traps in random points to estimate community composition and occupancy for each plantation type. Additionally, we assessed activity for species of interest. We found that the plantations harbored few mammals in comparison with surveys from protected lowland Panamanian forests, and mostly short-lived species. Teak (Tectona grandis) plantations, which covered the largest area in the study, had the lowest estimated richness and occupancy. Two diurnal frugivores, Central American Agouti (Dasyprocta punctata) and White-nosed Coati (Nasua narica) were more nocturnal in the plantations than in natural forests. Our findings suggest that plantations – especially Teak plantations – have limited conservation value as habitat or corridors for ground-dwelling mammals.

The archived data includes: A CSV file called "argos_observations_2019-03-11_22-26-52" for the occupancy and species richness analyses, a CSV file for the accumulation curves, and all text files needed for the activity pattern estimates. There is a R file for each analyses and within each script, there description on how the data was managed, as well as a step by step analyses processing. Also, there is a jags file which is required for the occupancy analysis and it's called from the R occupancy script.
DOI: 10.26106/rnsb-0c75
title: FASTQ files from NGS 16S bacterial DNA sequencing : effect of butyrate and beta-glucan on HFD - concept
DOI: 10.6084/m9.figshare.21624735
title: health group.docx

description: AFP and PIVKA-II serum levels in 101 healthy group.
DOI: 10.21227/5fnc-tk84
title: SART

description: SART contains 3000 tweets labelled with respect to the polarity of the sentiment expressed: positive, negative or neutral. Each class contains 1300 tweets and the dataset is split into train/validation/test csv files.
DOI: 10.6084/m9.figshare.21624690
title: benign liver disease.docx

description: AFP and PIVKA-II serum levels in 57 with benign liver disease.
DOI: 10.6084/m9.figshare.21624690.v1
title: benign liver disease.docx

description: AFP and PIVKA-II serum levels in 57 with benign liver disease.
DOI: 10.6084/m9.figshare.21624717
title: HCC.docx

description: AFP and PIVKA-II serum levels in 145 HCC.
DOI: 10.6084/m9.figshare.21624777
title: date sharing

description: Serum levels of AFP and PIVKA-II in 145 HCC patients, 57 benign liver diseases, and 101 healthy groups.
DOI: 10.6084/m9.figshare.21624777.v1
title: date sharing

description: Serum levels of AFP and PIVKA-II in 145 HCC patients, 57 benign liver diseases, and 101 healthy groups.
DOI: 10.6084/m9.figshare.21624804
title: date sharing

description: Serum levels of AFP and PIVKA-II in 145 HCC , 57 benign liver diseases, and 101 healthy groups.
DOI: 10.6084/m9.figshare.21624804.v1
title: date sharing

description: Serum levels of AFP and PIVKA-II in 145 HCC , 57 benign liver diseases, and 101 healthy groups.
DOI: 10.21227/a7az-aw35
title: COVIDSentiRO

description: COVIDSentiRO contains 19319 Romanian tweets extracted in the time-frame 01.01.2021 - 28.02.2022 using query words related to COVID-19 vaccination. Each tweet has its timestamp associated and is labelled with positive, negative and neutral, using the SART dataset for sentiment analysis.
DOI: 10.5517/ccdc.csd.cc2cbj3c
title: CCDC 2184852: Experimental Crystal Structure Determination

description: Related Article: Michael G. Papanikolaou, Anastasia V. Simaioforidou, Chryssoula Drouza, Athanassios C. Tsipis, Haralampos N. Miras, Anastasios D. Keramidas, Maria Louloudi, Themistoklis A. Kabanos|2022|Inorg.Chem.|61|18434|doi:10.1021/acs.inorgchem.2c02526
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.cc2cbj4d
title: CCDC 2184853: Experimental Crystal Structure Determination

description: Related Article: Michael G. Papanikolaou, Anastasia V. Simaioforidou, Chryssoula Drouza, Athanassios C. Tsipis, Haralampos N. Miras, Anastasios D. Keramidas, Maria Louloudi, Themistoklis A. Kabanos|2022|Inorg.Chem.|61|18434|doi:10.1021/acs.inorgchem.2c02526
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.cc2cbj5f
title: CCDC 2184854: Experimental Crystal Structure Determination

description: Related Article: Michael G. Papanikolaou, Anastasia V. Simaioforidou, Chryssoula Drouza, Athanassios C. Tsipis, Haralampos N. Miras, Anastasios D. Keramidas, Maria Louloudi, Themistoklis A. Kabanos|2022|Inorg.Chem.|61|18434|doi:10.1021/acs.inorgchem.2c02526
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.cc2cbj6g
title: CCDC 2184855: Experimental Crystal Structure Determination

description: Related Article: Michael G. Papanikolaou, Anastasia V. Simaioforidou, Chryssoula Drouza, Athanassios C. Tsipis, Haralampos N. Miras, Anastasios D. Keramidas, Maria Louloudi, Themistoklis A. Kabanos|2022|Inorg.Chem.|61|18434|doi:10.1021/acs.inorgchem.2c02526
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.cc2ch456
title: CCDC 2189287: Experimental Crystal Structure Determination

description: Related Article: Michael G. Papanikolaou, Anastasia V. Simaioforidou, Chryssoula Drouza, Athanassios C. Tsipis, Haralampos N. Miras, Anastasios D. Keramidas, Maria Louloudi, Themistoklis A. Kabanos|2022|Inorg.Chem.|61|18434|doi:10.1021/acs.inorgchem.2c02526
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: 10.18728/igb-fred-803.0
title: River Erpe electrical conductivity data summer 2016 / Project HypoTrain

description: Continuous in-stream electrical conductivity data measured at three sampling stations downstream the inflow of treated water dicharged by the wastewater treatment plant Münchehofe ranging from April to July 2016 are displayed. In addition, water temperature data, discharge data and weather data in the same time frame and resolution are included in the dataset.
DOI: 10.5517/ccdc.csd.cc2cn1bf
title: CCDC 2194004: Experimental Crystal Structure Determination

description: Related Article: Meng-Lan Luo, Qiumeng Hou, Shuai-Jiang Liu, Qian Zhao, Rui Qin, Cheng Peng, Bo Han, Gu Zhan|2022|Org.Lett.|24|8493|doi:10.1021/acs.orglett.2c03349
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: 10.5281/zenodo.7364843
title: The seismic waveform of Pn and Sn

description: The seismic waveform of Pn and Sn used in the paper.
DOI: 10.5281/zenodo.7364842
title: The seismic waveform of Pn and Sn

description: The seismic waveform of Pn and Sn used in the paper.
DOI: 10.5281/zenodo.7011684
title: The Artifact of the ICSE2023 Submission #582

description: In this online repository, we release the source code of each of the selected techniques as well as the experiment results from each technique (which are stored in the <em>Results.zip</em> file). The code to calculate the evaluation metrics are reused from CodeBLEU. Below is a piece of code generated by CodeT5. In this case, CodeT5 generates a statement recurrently, which leads to the syntactic error. Despite that, the code itself fulfills certain functionalities, and that is why it can achieve a CodeBLEU of 24.9%. <pre><code class="language-python">def makeMimiLocal(filename): try: with open(filename, 'rb') as f: data = f.read() except IOError: data = b'' data = data.decode('utf-8') data = data.replace(b'\x00', b'\x00') data = data.replace(b'\x00', b'\x00') data = data.replace(b'\x00', b'\x00') data = data.replace(b'\x00', b'\x00') data = data.replace(b'\x00', b'\x00') data = data.replace(b'\x00', b'\x00') data = data.replace(b'\x00', b'\x00') data = data.replace(b'\x00', b'\x00') data = data.replace(b'\x00', b'\x00') data = data.replace(b'\x00', b'\x00') data = data.replace(b'\ </code></pre>
DOI: 10.5281/zenodo.7011683
title: The Artifact of the ICSE2023 Submission #582

description: In this online repository, we release the source code of each of the selected techniques as well as the experiment results from each technique (which are stored in the <em>Results.zip</em> file). The code to calculate the evaluation metrics are reused from CodeBLEU. Below is a piece of code generated by CodeT5. In this case, CodeT5 generates a statement recurrently, which leads to the syntactic error. Despite that, the code itself fulfills certain functionalities, and that is why it can achieve a CodeBLEU of 24.9%. <pre><code class="language-python">def makeMimiLocal(filename): try: with open(filename, 'rb') as f: data = f.read() except IOError: data = b'' data = data.decode('utf-8') data = data.replace(b'\x00', b'\x00') data = data.replace(b'\x00', b'\x00') data = data.replace(b'\x00', b'\x00') data = data.replace(b'\x00', b'\x00') data = data.replace(b'\x00', b'\x00') data = data.replace(b'\x00', b'\x00') data = data.replace(b'\x00', b'\x00') data = data.replace(b'\x00', b'\x00') data = data.replace(b'\x00', b'\x00') data = data.replace(b'\x00', b'\x00') data = data.replace(b'\ </code></pre>
DOI: 10.5281/zenodo.6451774
title: Hardness Variation in DED produced Inconel 718

description: Raw data associated with a paper submission.<br> "Hardness Variation in DED produced Inconel 718" submitted to Materialia. Contained are all the raw images used in figures, as well as csv's of any data plotted in graphs. Raw images captured during printing of various processing parameters<br> EBSD scans, Hardness maps and DSC scans of all discussed samples Additionally, Matlab scripts for melt pool thermal fields included, as well as precipitation potential times.
DOI: 10.5281/zenodo.6451775
title: Hardness Variation in DED produced Inconel 718

description: Raw data associated with a paper submission.<br> "Hardness Variation in DED produced Inconel 718" submitted to Materialia. Contained are all the raw images used in figures, as well as csv's of any data plotted in graphs. Raw images captured during printing of various processing parameters<br> EBSD scans, Hardness maps and DSC scans of all discussed samples Additionally, Matlab scripts for melt pool thermal fields included, as well as precipitation potential times.
DOI: 10.34740/kaggle/dsv/4591802
title: YouTube Daily
DOI: 10.34740/kaggle/dsv/4591846
title: Elon Musk Tweets
DOI: 10.34740/kaggle/dsv/4592046
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.6084/m9.figshare.21621411
title: Jumping vs. running: effects of exercise modality on aerobic capacity and neuromuscular performance after a six-week high-intensity interval training

description: Data last modified: 26.11.2022, 12:48. <br> anthropometrics.csv -&gt; anthropometric information from subjects. CMJ.csv -&gt; countermovement jump data. MVC KE.csv -&gt; maximal voluntary contraction of the knee extension. MVC PF.csv -&gt; maximal voluntary contraction of the plantar flexion. RPE training sessions.csv -&gt; rate of perceived exertion of the training sessions. VO2max.csv -&gt; several variables from the maximal ramp test on the cycle ergometer. <br>
DOI: 10.6084/m9.figshare.21621411.v1
title: Jumping vs. running: effects of exercise modality on aerobic capacity and neuromuscular performance after a six-week high-intensity interval training

description: Data last modified: 26.11.2022, 12:48. <br> anthropometrics.csv -&gt; anthropometric information from subjects. CMJ.csv -&gt; countermovement jump data. MVC KE.csv -&gt; maximal voluntary contraction of the knee extension. MVC PF.csv -&gt; maximal voluntary contraction of the plantar flexion. RPE training sessions.csv -&gt; rate of perceived exertion of the training sessions. VO2max.csv -&gt; several variables from the maximal ramp test on the cycle ergometer. <br>
DOI: 10.6084/m9.figshare.21624992
title: Monthly distribution of population exposure to PM2.5 in Hunan Province, China in 2015

description: Monthly intensity of population exposure to PM2.5 at 1 km resolution in Hunan Province, China in 2015.
DOI: 10.6084/m9.figshare.21624992.v1
title: Monthly distribution of population exposure to PM2.5 in Hunan Province, China in 2015

description: Monthly intensity of population exposure to PM2.5 at 1 km resolution in Hunan Province, China in 2015.
DOI: 10.6084/m9.figshare.21347565
title: Clinico-Epidemiological Characteristics and Outcomes of Latent Tuberculosis Treatments at a Tertiary Center in Central-West Brazil from 2017 to 2019

description: This is de data from the study: Clinico-Epidemiological Characteristics and Outcomes of Latent Tuberculosis Treatments at a Tertiary Center in Central-West Brazil from 2017 to 2019.
DOI: 10.6084/m9.figshare.21347565.v2
title: Clinico-Epidemiological Characteristics and Outcomes of Latent Tuberculosis Treatments at a Tertiary Center in Central-West Brazil from 2017 to 2019

description: This is de data from the study: Clinico-Epidemiological Characteristics and Outcomes of Latent Tuberculosis Treatments at a Tertiary Center in Central-West Brazil from 2017 to 2019.
DOI: 10.6084/m9.figshare.21347565.v1
title: Clinico-Epidemiological Characteristics and Outcomes of Latent Tuberculosis Treatments at a Tertiary Center in Central-West Brazil from 2017 to 2019

description: This is de data from the study: Clinico-Epidemiological Characteristics and Outcomes of Latent Tuberculosis Treatments at a Tertiary Center in Central-West Brazil from 2017 to 2019.
DOI: 10.6084/m9.figshare.19728991
title: Lipoprotein profile and metabolic fine-mapping of genetic lipid risk loci

description: These files contain full study summary statistics for the associations of 14,196 NMR traits and ratios with 1,054 genetic variants (R format, results.20220816.zip), condensed p-gain statistics for the lead variants (EXCEL format, ratios_v2.zip), MR instruments for 168 NMR traits (formatted to match MR-Base input requirements, MRinst_v2_rev.zip), and supporting plotd for the SuSiE analysis (run_susieR.pdf). <br> This is the Supplementary Data to medRxiv preprint https://doi.org/10.1101/2022.06.12.22276286
DOI: 10.6084/m9.figshare.19728991.v3
title: Lipoproteoin profile and metabolic fine-mapping of genetic lipid risk loci

description: These files contain full study summary statistics for the associations of 14,196 NMR traits and ratios with 1,054 genetic variants (R format, results.20220816.zip), condensed p-gain statistics for the lead variants (EXCEL format, ratios_v2.zip), and MR instruments for 168 NMR traits (formatted to match MR-Base input requirements, MRinst_v2_rev.zip).
DOI: 10.34740/kaggle/dsv/4592237
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.34740/kaggle/dsv/4592258
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.7365235
title: ANALISIS DATA JURNAL CYBER LAW INVESTIGATIONS

description: Abad ke 21 merupakan era dimana teknologi informasi berkembang dan menjadi bagian dari perkembangan kualitas manusia dalam kehidupan bermasyarakat. Mulai dari segala bagian dari kehidupan sosial tidak terlepas dari penggunaan internet. Sehingga Sistem hukum harus memungkinkan pengamanan data elektronik dan akses yang cepat terhadap data elektronik, yang kerap sangat penting bagi keberhasilan investigasi kejahatan. Dalam artikel ini akan menganalisis jurnal dengan topic cyber law investigasi dengan sumber jurnal dari lens.org. Banyak sekali topic investigations pada dunia cyber pada lens.org.