cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/gy42pvdxkr.1
title: Melting of Tetrahydrofuran Hydrate in Pores of Quartz Microspheres Powders: an Investigation by Low-Field NMR Relaxation

description: This file contains the primary spectral data for the manuscript: Melting of Tetrahydrofuran Hydrate in Pores of Quartz Microspheres Powders: an Investigation by Low-Field NMR Relaxation M.Y. Shumskayte1, A.Y. Manakov2*, A.K. Sagidullin3, V.N. Glinskikh4, and L.S. Podenko5 1 Trofimuk Institute of Petroleum Geology and Geophysics SB RAS, Ac. Koptyug ave., 3, Novosibirsk, 630090, Russian Federation. ShumskaiteMI@ipgg.sbras.ru 2 Nikolaev Institute of Inorganic Chemistry SB RAS, Ac. Lavrentiev ave., 3, Novosibirsk, 630090, Russian Federation. manakov@niic.nsc.ru 3 Nikolaev Institute of Inorganic Chemistry SB RAS, Ac. Lavrentiev ave., 3, Novosibirsk, 630090, Russian Federation. sagidullin@niic.nsc.ru 4 Trofimuk Institute of Petroleum Geology and Geophysics SB RAS, Ac. Koptyug ave., 3, Novosibirsk, 630090, Russian Federation. GlinskikhVN@ipgg.sbras.ru 5 Institute of the Earth’s Cryosphere, Tyumen Scientific Center, SB RAS, Malygina Str., 86, Tyumen, 625026 Russian Federation. lpodenko@yandex.ru * Corresponding author: Andrey Yu. Manakov, Dr.Sci., Head of laboratory, Nikolaev Institute of Inorganic Chemistry SB RAS, Ac. Lavrentiev ave. 3, Novosibirsk, 630090, Russian Federation, (manakov@niic.nsc.ru) ORCID 0000-0003-0214-8714
DOI: 10.17632/mmjfj488j3.2
title: Supersize does matter The importance of large prey in Paleolithic subsistence and a method for measuring its significance in zooarchaeological assemblages

description: Data supporting a paper by that name. Data on Hadza hunting, African herbivores maximum speed, Energetic net return on acquisition of animals by size, Fat content of African herbivores, Biomass density of herbivores in African game reserves, datasets for faunal biomass comparisons of Acheulian and Acheulo-Yabrudian sites in the Levant, Early and Late Middle Pleistocene sites in East Africa and Mousterian and Aurignacian sites in France.
DOI: 10.17632/zf74hw2wgg.1
title: Porcine circovirus type 2 (PCV2) genotyping in Austrian pigs in the years 2002 to 2017

description: The file contains the raw data used for the phylogenetic study of PCV2 genotypes in the years 2002-2017. The samples are numbered with an internal sample ID (samples that could be sequenced = PCV2 genotype_haplotype_ serial number_study year_ origin_Austrian Federal State; samples that could not be sequenced = serial number_study year_ origin_Austrian Federal State). Samples that could be sequenced have been submitted to NCBI PubMed and the respective accession numbers and sequences are listed. Additionally, organism, host, isolation source, collection date, locality, PCV2 genotype, and gene are listed. Citation: Weissenbacher-Lang C, Kristen T, Mendel V, Brunthaler R, Schwarz L, Weissenböck H. BMC Veterinary Research 2020.
DOI: 10.5281/zenodo.3875011
title: EMUE-D3-3-CalibrationGasMixtures

description: This example is concerned with the preparation of calibration gas mixtures of nitrogen oxides (NO<sub>X</sub>) using dynamic dilution, in accordance with ISO 6145, and the subsequent calibration of a chemiluminescence analyser for NO<sub>X</sub>, by applying a multi-point calibration as described in ISO 6143. The focus is on the evaluation of the uncertainties and the correlations arising in the dynamic dilution process. Files contained in the dataset are: A213_Report.pdf: report on “Calibration of an analyser for NO<sub>x</sub> using gas mixtures prepared with mass flow controllers” A213_Report.tex: LaTeX file to be compiled in order to produce A213_Report.pdf CompendiumA213.bib: bibliography file MFC500cal.jpeg: figure file Validation.jpeg: figure file A231_data_elaboration.xls: Excel spreadsheet for calculations of estimates, associated uncertainties and covariances of amount fractions of NO<sub>2</sub> in SA.
DOI: 10.17632/347rzvv43x.2
title: Availability of data and material

description: Background: This study investigated two approaches of sensory-motor stimulation for parents to perform to their preterm infants. Objective: The aim of the present study was to investigate the effect of two different stimulation approaches in the development of preterm infants. Method: One approach was directive, in which parents have performed a strict order of movements. The second approach was indirective, in which parents were oriented to provide a rich context for sensory-motor stimulation so that infants could experience the association between their movements and environmental consequences. Seventeen preterm infants accompanied by their caregivers were divided into two groups: Directive Group, n=10; and Indirective Group, n=7. Infants’ development was followed for over six months by the Alberta Scale. Results: After the intervention, the indirective group reached more advanced stages of development than the directive group.
DOI: 10.17632/jmmphjknkd.1
title: orbital cellulitis data

description: data for orbital cellulitis with 79 patients
DOI: 10.17632/tfz7wgcyrv.1
title: Uric Acid-Knee OA

description: Osteoarthritis (OA), characterized pain and stiffness of joints has many risk factors. Of the many triggers, uric acid has been reported to initiate inflammation and drive the disease to severe forms. However, due to controversial reports, our study was designed to investigate the association of serum uric acid (sUA) levels in the different grades of Knee OA. Methods: This cross-sectional study included 80 patients of knee OA, &gt; 40 years of age, of both sexes who had not received any treatment other than analgesics. Subjects were stratified into 4 grades based on Kellgren and Lawrence radiological grading system. A detailed history of signs and symptoms, comorbidities, dietary and drug intake history were taken. The laboratory tests done were erythrocyte sedimentation rate (ESR), C-reactive protein (CRP) and sUA. Further reclassification of study population was done as early stage (grades 1& 2) and advanced stage (grades 3 & 4).
DOI: 10.25345/c54x5z
title: MassIVE MSV000085540 - Avant-garde: An automated data-driven DIA data curation tool
title: Vaca S, Peckner R, Shulman N, Krug K, DeRuff KC, Officer A, MacCoss MJ, Carr SA, Jaffe JD, Nature Methods 2020. Multiple challenges remain in Data-Independent Acquisition (DIA) data analysis, like confidently identifying peptides, defining integration boundaries, removing interferences, and controlling false discovery rates. In practice, a visual inspection of the signals is still required, which is impractical with large datasets. Avant-garde is a new tool to refine DIA (and PRM) data. Unlike other tools where MS experiments are scored independently from each other, Avant-garde uses a novel data-driven scoring strategy. Signals are refined by learning from the data itself, using all measurements in all samples to achieve the best optimization. We evaluated Avant-garde's performance with benchmarking DIA datasets. We showed that it can determine the quantitative suitability of a peptide peak, and reaches the same levels of selectivity, accuracy, and reproducibility as manual validation. Avant-garde is envisioned as a tool complementary to existing DIA analysis engines and aims to establish the strongest foundation for subsequent analysis of quantitative MS data.
DOI: 10.5281/zenodo.3874717
title: Social contact data for UK

description: Social contact data for UK
description: {"references": ["van Hoek AJ, Andrews N, Campbell H, Amirthalingam G, Edmunds WJ, et al. (2013) The Social Life of Infants in the Context of Infectious Disease Transmission; Social Contacts and Mixing Patterns of the Very Young. PLoS ONE 8(10): e76180. doi:10.1371/journal.pone.0076180"]}
DOI: 10.14284/412
title: Supervised pattern recognition for pigment-based chemotaxonomy of marine phytoplankton for early-stage identification of potentially toxin producing species

description: The dataset contains the fluorescence emission pattern of different phytoplankton species recorded on the ALPACA (a miniaturized and low-cost multi-channel fluorometer, developed within the PhD thesis of Zieger). The phytoplankton species were provided by the phytoplankton ecology lab from the University of the Basque Country. The phytoplankton species are all marine species, cultivated under medium light and were measured in their exponential phase. The GUI is the respective graphical user interface developed in the PhD for user-friendly data evaluation based on the pigment-based chemotaxonomy approach for phytoplankton classification.
description: Early stage identification of harmful algal blooms (HABs) has gained significance for marine monitoring systems over the years. Various approaches for in situ classification have been developed. Among them, pigment-based taxonomic classification is one promising technique for in situ characterization of bloom compositions, although it is yet underutilized in marine monitoring programs. To demonstrate the applicability and importance of this powerful approach for monitoring programs, we combined an ultra low-cost and miniaturized multichannel fluorometer with Fisher’s linear discriminant analysis (LDA). This enables the real-time characterization of algal blooms at order level based on their spectral properties.
DOI: 10.5281/zenodo.3874463
title: M4DB Sample Data Set

description: A sample data set for the MicroMagnetic-Metadata DataBase (M4DB).
DOI: 10.7910/dvn/nmvufs/mf8vbm
title: 19ja020_archival_manuscript.pdf
DOI: 10.5281/zenodo.3875021
title: Corneal Astigmatism ‎

description: Data set for clinical trial
DOI: 10.5281/zenodo.3875022
title: Corneal Astigmatism ‎

description: Data set for clinical trial
DOI: 10.7910/dvn/xiejcr/ldeuqm
title: replication_info.tab

description: :unav
DOI: 10.5281/zenodo.3874732
title: Social contact data for Vietnam

description: Social contact dataset for Vietnam
description: {"references": ["Horby P, Thai PQ, Hens N, Yen NTT, Mai LQ, et al. (2011) Social Contact Patterns in Vietnam and Implications for the Control of Infectious Diseases. PLoS ONE 6(2): e16965. doi:10.1371/journal.pone.0016965"]}
DOI: 10.5281/zenodo.3875028
title: Improving safe motherhood and neonatal care in urban slums of Bangladesh

description: Data set
description: This data set has been shared to reproducing the results and metaanalysis
DOI: 10.5281/zenodo.3875029
title: Improving safe motherhood and neonatal care in urban slums of Bangladesh

description: Data set
description: This data set has been shared to reproducing the results and metaanalysis
DOI: 10.7910/dvn/xv2ohj/4olugd
title: siteB2_multispectral.TIF

description: :unav
DOI: 10.7910/dvn/xv2ohj/6tlcw3
title: siteA1_thermal_infrared.jpg

description: :unav
DOI: 10.7910/dvn/xv2ohj/aaizdo
title: siteA2_multispectral.TIF

description: :unav
DOI: 10.7910/dvn/xv2ohj/dhek1q
title: siteB1_thermal_infrared.jpg

description: :unav
DOI: 10.7910/dvn/xv2ohj/etkbs1
title: siteB1_multispectral.TIF

description: :unav
DOI: 10.7910/dvn/xv2ohj/gtvn2k
title: README.txt

description: :unav
DOI: 10.7910/dvn/xv2ohj/ryh3c7
title: siteA1_multispectral.TIF

description: :unav
DOI: 10.7910/dvn/xv2ohj/vxmzy7
title: siteA2_thermal_infrared.jpg

description: :unav
DOI: 10.5281/zenodo.3874799
title: APIS JSON Serialization

description: This is a Json serialisation of the enriched version of the Austrian Biographical Dictionary. The data was enriched during the Austrian Prosopographical Information System (APIS) project. It contains data on ~19.000 persons who had an impact on Austrian soil and died between 1815 and 1955. This version of the APIS data uses the internal Json schema for serialization. It is the most complete serialization of the data. Please refer to Matthias Schlögl for any inquiries.
DOI: 10.5281/zenodo.3875006
title: CNRM-CM6-conv5 AMIP simulation monthly output (pr, ts, areacella)

description: The present dataset consists in monthly output of an AMIP simulation performed with the CNRM-CM6-conv5 model, covering the period 1979-2008. CNRM-CM6-conv5 is the same model as CNRM-CM6-1 (Voldoire et al. 2019, http://www.umr-cnrm.fr/cmip6/references) except that the convection scheme was replaced by the one previously used in CNRM-CM5.1 (Voldoire et al. 2013), namely the convection scheme developed by Bougeault (1985). The details of the atmospheric component of CNRM-CM6-1 (ARPEGE-Climat 6.3) and those of the AMIP simulation are discussed in Roehrig et al. (2020). 3 netCDF files are provided in this dataset, corresponding to surface precipitation (pr), surface temperature (ts) and model grid cell area (areacella). The netCDF file format follow the CF-1.7 and CMIP-6.2 conventions.
DOI: 10.7910/dvn/xv2ohj/frssjv
title: siteC1_thermal_infrared.jpg

description: :unav
DOI: 10.7910/dvn/xv2ohj/iqycnw
title: siteC1_multispectral.TIF

description: :unav
DOI: 10.7910/dvn/xv2ohj/mttlsg
title: siteC1HSI_hyperspectral.tif

description: :unav
DOI: 10.7910/dvn/xv2ohj/ncowyv
title: siteB2_thermal_infrared.jpg

description: :unav
DOI: 10.7910/dvn/xv2ohj/zfasfr
title: siteC2_multispectral.TIF

description: :unav
DOI: 10.21227/e5e5-f053
title: MIT DriveSeg (Semi-auto) Dataset

description: Solving the external perception problem for autonomous vehicles and driver-assistance systems requires accurate and robust driving scene perception in both regularly-occurring driving scenarios (termed “common cases”) and rare out- lier driving scenarios (termed “edge cases”). In order to develop and evaluate driving scene perception models at scale, and more importantly, covering potential edge cases from the real world, we take advantage of the MIT-AVT Clustered Driving Scene Dataset and build a subset for the semantic scene segmentation task. We hereby present the MIT DriveSeg (Semi-auto) Dataset: a large-scale video driving scene dataset, which contains 20,100 video frames with pixel-wise semantic annotation. We propose semi-automatic annotation approaches leveraging both manual and computational efforts to annotate the data more efficiently and at lower cost than manual annotation.
DOI: 10.21227/nb3n-kk46
title: MIT DriveSeg (Semi-auto) Dataset

description: Solving the external perception problem for autonomous vehicles and driver-assistance systems requires accurate and robust driving scene perception in both regularly-occurring driving scenarios (termed “common cases”) and rare out- lier driving scenarios (termed “edge cases”). In order to develop and evaluate driving scene perception models at scale, and more importantly, covering potential edge cases from the real world, we take advantage of the MIT-AVT Clustered Driving Scene Dataset and build a subset for the semantic scene segmentation task. We hereby present the MIT DriveSeg (Semi-auto) Dataset: a large-scale video driving scene dataset, which contains 20,100 video frames with pixel-wise semantic annotation. We propose semi-automatic annotation approaches leveraging both manual and computational efforts to annotate the data more efficiently and at lower cost than manual annotation.
DOI: 10.3886/e108503v1-24743
title: Optical Coherence Tomography Image Retinal Database

description: An open source Optical Coherence Tomography Image Database containing different retinal OCT images with different pathological conditions. Please use the following citation if you use the database: Peyman Gholami, Priyanka Roy, Mohana Kuppuswamy Parthasarathy, Vasudevan Lakshminarayanan, "OCTID: Optical Coherence Tomography Image Database", arXiv preprint arXiv:1812.07056, (2018). For more information and details about the database see: https://arxiv.org/abs/1812.07056
DOI: 10.5281/zenodo.3874802
title: Social contact data for Vietnam

description: Social contact dataset for Vietnam
description: {"references": ["Horby P, Thai PQ, Hens N, Yen NTT, Mai LQ, et al. (2011) Social Contact Patterns in Vietnam and Implications for the Control of Infectious Diseases. PLoS ONE 6(2): e16965. doi:10.1371/journal.pone.0016965"]}
DOI: 10.5281/zenodo.3875005
title: CNRM-CM6-conv5 AMIP simulation monthly output (pr, ts, areacella)

description: The present dataset consists in monthly output of an AMIP simulation performed with the CNRM-CM6-conv5 model, covering the period 1979-2008. CNRM-CM6-conv5 is the same model as CNRM-CM6-1 (Voldoire et al. 2019, http://www.umr-cnrm.fr/cmip6/references) except that the convection scheme was replaced by the one previously used in CNRM-CM5.1 (Voldoire et al. 2013), namely the convection scheme developed by Bougeault (1985). The details of the atmospheric component of CNRM-CM6-1 (ARPEGE-Climat 6.3) and those of the AMIP simulation are discussed in Roehrig et al. (2020). 3 netCDF files are provided in this dataset, corresponding to surface precipitation (pr), surface temperature (ts) and model grid cell area (areacella). The netCDF file format follow the CF-1.7 and CMIP-6.2 conventions.
DOI: 10.5281/zenodo.3875158
title: Resting-state EEG recordings in 20-30-year-old and 65-75-year-old healthy humans

description: Raw EEG recordings of resting-state brain activity (six one minute baseline recordings, alternating eyes-closed and eyes-open for one minute each), down-sampled offline to 512 Hz using the Biosemi decimator tool and exported from BrainAnalyzer after renaming the markers. No other changes applied. BrainAnalyzer generates three files for each subject, needed to open the data in BA, EEGlab… A text header file (.vhdr) containing meta data, a text marker file (.vmrk) containing information about events in the data and a binary data file (.eeg) containing the voltage values of the EEG. For acronyms within the recordings: - the start of each eye closed segment = BegF1 (or BegRSf for a few files) - the end of each eye closed segment = EndF1 (or EndRSf for a few files) - the start of each eye open segment = BegO1 (or BegRSo for a few files) - the end of each eye open segment = EndO1 (or EndRSo for a few files)
DOI: 10.7910/dvn/xv2ohj/2mcxuu
title: siteC2_thermal_infrared.jpg

description: :unav
DOI: 10.7910/dvn/xv2ohj/tncjwh
title: siteC2HSI_hyperspectral.tif

description: :unav
DOI: 10.5281/zenodo.3875469
title: EMUE-D3-3-CalibrationGasMixtures

description: This example is concerned with the preparation of calibration gas mixtures of nitrogen oxides (NO<sub>X</sub>) using dynamic dilution, in accordance with ISO 6145, and the subsequent calibration of a chemiluminescence analyser for NO<sub>X</sub>, by applying a multi-point calibration as described in ISO 6143. The focus is on the evaluation of the uncertainties and the correlations arising in the dynamic dilution process. Files contained in the dataset are: A213_Report.pdf: report on “Calibration of an analyser for NO<sub>x</sub> using gas mixtures prepared with mass flow controllers” A213_Report.tex: LaTeX file to be compiled in order to produce A213_Report.pdf CompendiumA213.bib: bibliography file MFC500cal.jpeg: figure file Validation.jpeg: figure file A231_data_elaboration.xls: Excel spreadsheet for calculations of estimates, associated uncertainties and covariances of amount fractions of NO<sub>2</sub> in SA.
DOI: 10.21227/dx66-pd56
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains the IDs of geo-tagged tweets. The tweets were captured by an on-going project deployed at https://live.rlamsal.com.np. The geolocation data was extracted from the tweets which mentioned anything about "corona", "covid-19", "coronavirus" or the variants of "sars-cov-2". Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location. Please note that this dataset should be solely used for non-commercial research purposes (ignore every other LICENSE category given on this page).Note: I started sharing the IDs of the tweets that contained the exact location information, only since April 28, 2020, with some genuine requests coming in from academic researchers who did not want to hydrate the whole lists of IDs (above 150+ million tweets) shared in the Coronavirus (COVID-19) Tweets Dataset.If you need the geolocation-based data starting March 20, 2020, then use the Coronavirus (COVID-19) Tweets Dataset and hydrate the IDs while adding the following condition:data = json.loads(data)if data["coordinates"]: longitude, latitude = data["coordinates"]["coordinates"]The data is available in two formats: CSV and JSON. I'll be sharing new files every day, and the files will be named period-wise. For example, april28-april29.* will contain tweet ID and sentiment data of the tweets that were tweeted between April 28, 2020, and April 29, 2020.Why are only tweet IDs being shared? It is Twitter's content redistribution policy that restricts the sharing of tweet information other than tweet IDs and/or user IDs. Twitter wants researchers to always pull fresh data using their API. Why? Here's my opinion. Maybe, some user might want to delete a particular tweet after a couple of minute(s)/hour(s)/day(s), and if the same tweet has already been pulled and is shared on a public domain, then it might make the user/community vulnerable to many inferences coming out of the shared data.
DOI: 10.6084/m9.figshare.12422402
title: Additional file 1 of Distinctions between sex and time in patterns of DNA methylation across puberty

description: Additional file 1: Fig. S1. Distributions of age, tanner stage, and testosterone in males and females.
DOI: 10.6092/unibo/amsacta/6394
title: Parallelizing Machine Learning as a service for the end-user. Input data

description: The dataset includes 50 documents downloaded from the Project Gutenberg web site, yielding 466,483 total sentences. The documents are in plain text and in English.
DOI: 10.6084/m9.figshare.12422402.v1
title: Additional file 1 of Distinctions between sex and time in patterns of DNA methylation across puberty

description: Additional file 1: Fig. S1. Distributions of age, tanner stage, and testosterone in males and females.
DOI: 10.6092/unibo/amsacta/6395
title: CATCH-EyoU. WP8 Ethnographic interviews. Italy

description: WP8 of the CATCH-EyoU project proposes an ethnographic case study that involves youth organizations. It explores how young people engage in different types of organizations (civic or creative) and how they deal with social and political issues. The dataset contains the anonymized transcriptions of the interviews collected for the Italian ethnographic case study. This data was used as underlying data of the following chapter: Guarino A., Cicognani E., Zani B. (2020) Motivations for Joining and Engaging in Youth Organisations in the Italian Context. In: Banaji S., Mejias S. (eds) Youth Active Citizenship in Europe. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-35794-8_2 This qualitative data has been collected from three youth organizations in Italy, involved in WP8 EU Ethnographic case study. This data is made available for open access in compliance with H2020 Program regulation, following the guidelines stipulated by the Data Management Plan adopted by the CATCH-EyoU research project.
DOI: 10.6084/m9.figshare.12422420
title: Additional file 5 of Distinctions between sex and time in patterns of DNA methylation across puberty

description: Additional file 5: Table S1. All significant model results and relevant annotation information for the effect of 1) sex at T1, 2) sex at T2, 3) time effects 4) follow up models of time-related sites, 5) testosterone effects. Table S2. Genomic context enrichment results. Table S3. Details on kMeans threshold probes for modules identified in the 1) sex analysis and 2) time analysis. Table S4. Gene Ontology enrichment analyses results for probes belonging to gene modules based on kMeans threshold. Table S5. Interaction model results.